diff --git a/.devops/cann.Dockerfile b/.devops/cann.Dockerfile
index 6de22215e40e38d327caf7993a4a925bdddece89..843fe37d0625eabd9b3fd36863e1049e4f7e3891 100644
--- a/.devops/cann.Dockerfile
+++ b/.devops/cann.Dockerfile
@@ -4,7 +4,7 @@
 
 # Define the CANN base image for easier version updates later
 ARG CHIP_TYPE=910b
-ARG CANN_BASE_IMAGE=quay.io/ascend/cann:8.3.rc2-${CHIP_TYPE}-openeuler24.03-py3.11
+ARG CANN_BASE_IMAGE=quay.io/ascend/cann:8.5.0-${CHIP_TYPE}-openeuler24.03-py3.11
 
 # ==============================================================================
 # BUILD STAGE
diff --git a/.devops/cpu.Dockerfile b/.devops/cpu.Dockerfile
index c70a2de562e749ac96d06f2b5925d7723eedade0..d6579ecf1ad3e881d52dea86e3e0312220a635bb 100644
--- a/.devops/cpu.Dockerfile
+++ b/.devops/cpu.Dockerfile
@@ -1,11 +1,13 @@
-ARG UBUNTU_VERSION=22.04
+ARG UBUNTU_VERSION=24.04
 
 FROM ubuntu:$UBUNTU_VERSION AS build
 
 ARG TARGETARCH
 
 RUN apt-get update && \
-    apt-get install -y build-essential git cmake libssl-dev
+    apt-get install -y gcc-14 g++-14 build-essential git cmake libssl-dev
+
+ENV CC=gcc-14 CXX=g++-14
 
 WORKDIR /app
 
@@ -34,7 +36,7 @@ RUN mkdir -p /app/full \
 FROM ubuntu:$UBUNTU_VERSION AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
@@ -55,8 +57,9 @@ RUN apt-get update \
     git \
     python3 \
     python3-pip \
-    && pip install --upgrade pip setuptools wheel \
-    && pip install -r requirements.txt \
+    python3-wheel \
+    && pip install --break-system-packages --upgrade setuptools \
+    && pip install --break-system-packages -r requirements.txt \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
diff --git a/.devops/cuda-new.Dockerfile b/.devops/cuda-new.Dockerfile
deleted file mode 100644
index 98dc147d7e8ea4301695820acb849bdb3ec2e588..0000000000000000000000000000000000000000
--- a/.devops/cuda-new.Dockerfile
+++ /dev/null
@@ -1,95 +0,0 @@
-ARG UBUNTU_VERSION=24.04
-# This needs to generally match the container host's environment.
-ARG CUDA_VERSION=13.1.0
-# Target the CUDA build image
-ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
-
-ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
-
-FROM ${BASE_CUDA_DEV_CONTAINER} AS build
-
-# CUDA architecture to build for (defaults to all supported archs)
-ARG CUDA_DOCKER_ARCH=default
-
-RUN apt-get update && \
-    apt-get install -y build-essential cmake python3 python3-pip git libssl-dev libgomp1
-
-WORKDIR /app
-
-COPY . .
-
-RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \
-    export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \
-    fi && \
-    cmake -B build -DGGML_NATIVE=OFF -DGGML_CUDA=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DLLAMA_BUILD_TESTS=OFF ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
-    cmake --build build --config Release -j$(nproc)
-
-RUN mkdir -p /app/lib && \
-    find build -name "*.so*" -exec cp -P {} /app/lib \;
-
-RUN mkdir -p /app/full \
-    && cp build/bin/* /app/full \
-    && cp *.py /app/full \
-    && cp -r gguf-py /app/full \
-    && cp -r requirements /app/full \
-    && cp requirements.txt /app/full \
-    && cp .devops/tools.sh /app/full/tools.sh
-
-## Base image
-FROM ${BASE_CUDA_RUN_CONTAINER} AS base
-
-RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
-    && apt autoremove -y \
-    && apt clean -y \
-    && rm -rf /tmp/* /var/tmp/* \
-    && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
-    && find /var/cache -type f -delete
-
-COPY --from=build /app/lib/ /app
-
-### Full
-FROM base AS full
-
-COPY --from=build /app/full /app
-
-WORKDIR /app
-
-RUN apt-get update \
-    && apt-get install -y \
-    git \
-    python3 \
-    python3-pip \
-    python3-wheel \
-    && pip install --break-system-packages --upgrade setuptools \
-    && pip install --break-system-packages -r requirements.txt \
-    && apt autoremove -y \
-    && apt clean -y \
-    && rm -rf /tmp/* /var/tmp/* \
-    && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
-    && find /var/cache -type f -delete
-
-
-ENTRYPOINT ["/app/tools.sh"]
-
-### Light, CLI only
-FROM base AS light
-
-COPY --from=build /app/full/llama-cli /app/full/llama-completion /app
-
-WORKDIR /app
-
-ENTRYPOINT [ "/app/llama-cli" ]
-
-### Server, Server only
-FROM base AS server
-
-ENV LLAMA_ARG_HOST=0.0.0.0
-
-COPY --from=build /app/full/llama-server /app
-
-WORKDIR /app
-
-HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ]
-
-ENTRYPOINT [ "/app/llama-server" ]
diff --git a/.devops/cuda.Dockerfile b/.devops/cuda.Dockerfile
index 52f103bc31013c06563edf993f39ad1a92e12fba..b3f6ccfc98456aa1bb12dfa48aaa739618b56f93 100644
--- a/.devops/cuda.Dockerfile
+++ b/.devops/cuda.Dockerfile
@@ -1,6 +1,6 @@
-ARG UBUNTU_VERSION=22.04
+ARG UBUNTU_VERSION=24.04
 # This needs to generally match the container host's environment.
-ARG CUDA_VERSION=12.4.0
+ARG CUDA_VERSION=12.8.1
 # Target the CUDA build image
 ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
 
@@ -12,7 +12,9 @@ FROM ${BASE_CUDA_DEV_CONTAINER} AS build
 ARG CUDA_DOCKER_ARCH=default
 
 RUN apt-get update && \
-    apt-get install -y build-essential cmake python3 python3-pip git libssl-dev libgomp1
+    apt-get install -y gcc-14 g++-14 build-essential cmake python3 python3-pip git libssl-dev libgomp1
+
+ENV CC=gcc-14 CXX=g++-14 CUDAHOSTCXX=g++-14
 
 WORKDIR /app
 
@@ -39,7 +41,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_CUDA_RUN_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
@@ -60,7 +62,8 @@ RUN apt-get update \
     git \
     python3 \
     python3-pip \
-    && pip install --upgrade pip setuptools wheel \
+    python3-wheel \
+    && pip install --break-system-packages --upgrade setuptools \
     && pip install --break-system-packages -r requirements.txt \
     && apt autoremove -y \
     && apt clean -y \
diff --git a/.devops/intel.Dockerfile b/.devops/intel.Dockerfile
index 35ea4ade8ed5b4ff83a3d2b428cd9595d5a15ccb..955a2962ff42d40eb7a8865a751c5b16e140ea9f 100644
--- a/.devops/intel.Dockerfile
+++ b/.devops/intel.Dockerfile
@@ -1,4 +1,4 @@
-ARG ONEAPI_VERSION=2025.2.2-0-devel-ubuntu24.04
+ARG ONEAPI_VERSION=2025.3.2-0-devel-ubuntu24.04
 
 ## Build Image
 
@@ -33,8 +33,25 @@ RUN mkdir -p /app/full \
 
 FROM intel/deep-learning-essentials:$ONEAPI_VERSION AS base
 
+ARG IGC_VERSION=v2.30.1
+ARG IGC_VERSION_FULL=2_2.30.1+20950
+ARG COMPUTE_RUNTIME_VERSION=26.09.37435.1
+ARG COMPUTE_RUNTIME_VERSION_FULL=26.09.37435.1-0
+ARG IGDGMM_VERSION=22.9.0
+RUN mkdir /tmp/neo/ && cd /tmp/neo/ \
+  && wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \
+  && wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-opencl-${IGC_VERSION_FULL}_amd64.deb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-ocloc-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-ocloc_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-opencl-icd-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-opencl-icd_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libigdgmm12_${IGDGMM_VERSION}_amd64.deb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libze-intel-gpu1-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
+  && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libze-intel-gpu1_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
+  && dpkg --install *.deb
+
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
diff --git a/.devops/llama-cli-cann.Dockerfile b/.devops/llama-cli-cann.Dockerfile
index 5bbc9ee43b5009056e738c57a1315a56b1a44148..d54e70838f23e7ecd4e5e67c2354807ee3f6c4d4 100644
--- a/.devops/llama-cli-cann.Dockerfile
+++ b/.devops/llama-cli-cann.Dockerfile
@@ -1,4 +1,4 @@
-ARG ASCEND_VERSION=8.1.RC1.alpha001-910b-openeuler22.03-py3.10
+ARG ASCEND_VERSION=8.5.0-910b-openeuler22.03-py3.10
 
 FROM ascendai/cann:$ASCEND_VERSION AS build
 
diff --git a/.devops/musa.Dockerfile b/.devops/musa.Dockerfile
index 9eb498520468f1dbb8a280a93466ebfd9e9b8615..665a76f58ce2db6e68f1a0679ef321a8c09cbff2 100644
--- a/.devops/musa.Dockerfile
+++ b/.devops/musa.Dockerfile
@@ -46,7 +46,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_MUSA_RUN_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
diff --git a/.devops/nix/package.nix b/.devops/nix/package.nix
index 79a7270e5d83ca5535787f256cf5dd78d7687082..4e5fd00a5552b496ed07ec999091c69f9a2a7d35 100644
--- a/.devops/nix/package.nix
+++ b/.devops/nix/package.nix
@@ -16,8 +16,9 @@
   rocmPackages,
   vulkan-headers,
   vulkan-loader,
-  curl,
+  openssl,
   shaderc,
+  spirv-headers,
   useBlas ?
     builtins.all (x: !x) [
       useCuda
@@ -41,6 +42,7 @@
   effectiveStdenv ? if useCuda then cudaPackages.backendStdenv else stdenv,
   enableStatic ? effectiveStdenv.hostPlatform.isStatic,
   precompileMetalShaders ? false,
+  useWebUi ? true,
 }:
 
 let
@@ -144,6 +146,7 @@ effectiveStdenv.mkDerivation (finalAttrs: {
       ninja
       pkg-config
       git
+      spirv-headers
     ]
     ++ optionals useCuda [
       cudaPackages.cuda_nvcc
@@ -159,11 +162,13 @@ effectiveStdenv.mkDerivation (finalAttrs: {
     ++ optionals useMpi [ mpi ]
     ++ optionals useRocm rocmBuildInputs
     ++ optionals useBlas [ blas ]
-    ++ optionals useVulkan vulkanBuildInputs;
+    ++ optionals useVulkan vulkanBuildInputs
+    ++ [ openssl ];
 
   cmakeFlags =
     [
       (cmakeBool "LLAMA_BUILD_SERVER" true)
+      (cmakeBool "LLAMA_BUILD_WEBUI" useWebUi)
       (cmakeBool "BUILD_SHARED_LIBS" (!enableStatic))
       (cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
       (cmakeBool "GGML_NATIVE" false)
diff --git a/.devops/openvino.Dockerfile b/.devops/openvino.Dockerfile
index e22ef16c7fb85db9f576ccbba6cf2e121baf1f01..3ee4dd201807ff08a15d7204ac9d584e6154c23e 100644
--- a/.devops/openvino.Dockerfile
+++ b/.devops/openvino.Dockerfile
@@ -78,7 +78,7 @@ ARG http_proxy
 ARG https_proxy
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 libtbb12 curl\
+    && apt-get install -y libgomp1 libtbb12 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
diff --git a/.devops/rocm.Dockerfile b/.devops/rocm.Dockerfile
index 830fe19e3e8130cbaddb81edcf95c942d67e4561..525ddc7905113f885b42a0463084827555492840 100644
--- a/.devops/rocm.Dockerfile
+++ b/.devops/rocm.Dockerfile
@@ -1,8 +1,8 @@
 ARG UBUNTU_VERSION=24.04
 
 # This needs to generally match the container host's environment.
-ARG ROCM_VERSION=7.2
-ARG AMDGPU_VERSION=7.2
+ARG ROCM_VERSION=7.2.1
+ARG AMDGPU_VERSION=7.2.1
 
 # Target the ROCm build image
 ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete
@@ -12,11 +12,11 @@ FROM ${BASE_ROCM_DEV_CONTAINER} AS build
 
 # Unless otherwise specified, we make a fat build.
 # This is mostly tied to rocBLAS supported archs.
-# check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.2.0/reference/system-requirements.html
+# check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.2.1/reference/system-requirements.html
 # check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityrad/native_linux/native_linux_compatibility.html
 # check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityryz/native_linux/native_linux_compatibility.html
 
-ARG ROCM_DOCKER_ARCH='gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1151;gfx1150;gfx1200;gfx1201'
+ARG ROCM_DOCKER_ARCH='gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1151;gfx1150;gfx1200;gfx1201'
 
 # Set ROCm architectures
 ENV AMDGPU_TARGETS=${ROCM_DOCKER_ARCH}
@@ -58,7 +58,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_ROCM_DEV_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
@@ -79,7 +79,7 @@ RUN apt-get update \
     git \
     python3-pip \
     python3 \
-    python3-wheel\
+    python3-wheel \
     && pip install --break-system-packages --upgrade setuptools \
     && pip install --break-system-packages -r requirements.txt \
     && apt autoremove -y \
diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile
index 3112ec85efae8ef62721ad0d882366d4db552d44..f4d199ed4261319b16070bf98c8b93d7761f833b 100644
--- a/.devops/vulkan.Dockerfile
+++ b/.devops/vulkan.Dockerfile
@@ -7,7 +7,7 @@ RUN apt update && apt install -y git build-essential cmake wget xz-utils
 
 # Install SSL and Vulkan SDK dependencies
 RUN apt install -y libssl-dev curl \
-    libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc
+    libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers
 
 # Build it
 WORKDIR /app
@@ -49,17 +49,20 @@ COPY --from=build /app/full /app
 
 WORKDIR /app
 
+ENV PATH="/root/.venv/bin:/root/.local/bin:${PATH}"
+
+# Flag for compatibility with pip
+ARG UV_INDEX_STRATEGY="unsafe-best-match"
 RUN apt-get update \
     && apt-get install -y \
     build-essential \
+    curl \
     git \
-    python3.13 \
-    python3.13-dev \
-    python3-pip \
-    python3-wheel \
-    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.13 100 \
-    && pip install --break-system-packages --upgrade setuptools \
-    && pip install --break-system-packages -r requirements.txt \
+    ca-certificates \
+    && curl -LsSf https://astral.sh/uv/install.sh | sh \
+    && uv python install 3.13 \
+    && uv venv --python 3.13 /root/.venv \
+    && uv pip install --python /root/.venv/bin/python -r requirements.txt \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
diff --git a/.editorconfig b/.editorconfig
index 74b65a45668131c32306de41b24f15323dfa38d1..b995dbff7ddb59f95d9ef4315acc56914c620197 100644
--- a/.editorconfig
+++ b/.editorconfig
@@ -21,14 +21,6 @@ indent_style = tab
 [prompts/*.txt]
 insert_final_newline = unset
 
-[tools/server/public/*]
-indent_size = 2
-
-[tools/server/public/deps_*]
-trim_trailing_whitespace = unset
-indent_style = unset
-indent_size = unset
-
 [tools/server/deps_*]
 trim_trailing_whitespace = unset
 indent_style = unset
@@ -61,6 +53,14 @@ charset = unset
 trim_trailing_whitespace = unset
 insert_final_newline = unset
 
+[tools/server/public/**]
+indent_style = unset
+indent_size = unset
+end_of_line = unset
+charset = unset
+trim_trailing_whitespace = unset
+insert_final_newline = unset
+
 [benches/**]
 indent_style = unset
 indent_size = unset
diff --git a/.gitattributes b/.gitattributes
index 9c1dde9578bcd4ddacdffda2593317c77cc7e213..bf5ed0802b5a54266a9b715bd6a85b2caacc2bc5 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,9 +1,12 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
+# Treat the generated single-file WebUI build as binary for diff purposes.
+# Git's pack-file delta compression still works (byte-level), but this prevents
+# git diff from printing the entire minified file on every change.
+tools/server/public/index.html -diff
 *.gguf filter=lfs diff=lfs merge=lfs -text
 *.key filter=lfs diff=lfs merge=lfs -text
-*.pdf filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.txt filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
-*.avro filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
 *.bz2 filter=lfs diff=lfs merge=lfs -text
 *.ckpt filter=lfs diff=lfs merge=lfs -text
@@ -13,7 +16,6 @@
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
 *.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
 *.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
@@ -58,6 +60,14 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text
+*.pdf filter=lfs diff=lfs merge=lfs -text
+*.epub filter=lfs diff=lfs merge=lfs -text
+*.djvu filter=lfs diff=lfs merge=lfs -text
+*.doc filter=lfs diff=lfs merge=lfs -text
+*.mobi filter=lfs diff=lfs merge=lfs -text
+*.azw3 filter=lfs diff=lfs merge=lfs -text
+*.txt filter=lfs diff=lfs merge=lfs -text
+*.md filter=lfs diff=lfs merge=lfs -text
+*.docx filter=lfs diff=lfs merge=lfs -text
+*.azw3 filter=lfs diff=lfs merge=lfs -text
+*.djvu filter=lfs diff=lfs merge=lfs -text
diff --git a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
index 77f23f1afa9c9fbb2718968b217e55622c590249..b55bc1a3f8078bdddae40461744cae14a94d5665 100644
--- a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
+++ b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
@@ -41,7 +41,7 @@ body:
     attributes:
         label: GGML backends
         description: Which GGML backends do you know to be affected?
-        options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
+        options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, OpenVINO, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
         multiple: true
     validations:
       required: true
diff --git a/.github/ISSUE_TEMPLATE/011-bug-results.yml b/.github/ISSUE_TEMPLATE/011-bug-results.yml
index f553cbbf0b88cec26dfdd5758129771901e54bbc..653d75e1687a1898dc66eb883e88b05e4946a320 100644
--- a/.github/ISSUE_TEMPLATE/011-bug-results.yml
+++ b/.github/ISSUE_TEMPLATE/011-bug-results.yml
@@ -42,7 +42,7 @@ body:
     attributes:
         label: GGML backends
         description: Which GGML backends do you know to be affected?
-        options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
+        options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, OpenVINO, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
         multiple: true
     validations:
       required: true
diff --git a/.github/labeler.yml b/.github/labeler.yml
index e9b75bc29ef0edc1c80768982d1186269524f741..70384994dcb47c70f6f2d7bd53871c77edb84861 100644
--- a/.github/labeler.yml
+++ b/.github/labeler.yml
@@ -27,6 +27,11 @@ IBM zDNN:
         - any-glob-to-any-file:
             - ggml/include/ggml-zdnn.h
             - ggml/src/ggml-zdnn/**
+AMD ZenDNN:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml/include/ggml-zendnn.h
+            - ggml/src/ggml-zendnn/**
 documentation:
     - changed-files:
         - any-glob-to-any-file:
@@ -68,10 +73,18 @@ android:
     - changed-files:
         - any-glob-to-any-file:
             - examples/llama.android/**
+server/webui:
+    - changed-files:
+        - any-glob-to-any-file:
+            - tools/server/webui/**
+            - tools/server/public/**
 server:
     - changed-files:
         - any-glob-to-any-file:
             - tools/server/**
+
+
+
 ggml:
     - changed-files:
         - any-glob-to-any-file:
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index d0bdd73c4439c59506c94c6cfadeeb2b09375214..d8d45bf9a8e7fcead4a447e45308d6f3fbefa69b 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -1 +1,3 @@
-*Make sure to read the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md) before submitting a PR*
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc3613996e5efd54aa6cfa2bf782d034bb40a7cce82e93850b7d7ac0fc3231ff
+size 757
diff --git a/.github/workflows/ai-issues.yml b/.github/workflows/ai-issues.yml
new file mode 100644
index 0000000000000000000000000000000000000000..c762901b5ac43c284b9ff1002cace4e6e03984b4
--- /dev/null
+++ b/.github/workflows/ai-issues.yml
@@ -0,0 +1,89 @@
+name: AI review (issues)
+
+on:
+  issues:
+    types: [opened]
+
+jobs:
+  find-related:
+    if: github.event.action == 'opened'
+    runs-on: [self-hosted, opencode]
+
+    permissions:
+      contents: read
+      issues: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 1
+
+      - name: Find related
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          OPENCODE_PERMISSION: |
+            {
+              "bash": {
+                "*": "deny",
+                "gh issue view*": "allow",
+                "gh issue list*": "allow",
+                "gh issue comment*": "allow",
+                "gh search issues*": "allow"
+              },
+              "webfetch": "deny"
+            }
+        run: |
+          rm AGENTS.md
+          rm CLAUDE.md
+
+          timeout 5m opencode run -m llama.cpp-dgx/ai-review-issues-find-similar --thinking "A new issue has been created:
+
+          Issue number: ${{ github.event.issue.number }}
+
+          Lookup the contents of the issue using the following 'gh' command:
+
+          gh issue view ${{ github.event.issue.number }} --json title,body,url,number
+
+          Next, perform the following task and then post a SINGLE comment (if needed).
+
+          ---
+
+          TASK : FIND RELATED ISSUES
+
+          Using the 'gh' CLI tool, search through existing issues on Github.
+          Find related or similar issues to the newly created one and list them.
+          Do not list the new issue itself (it is #${{ github.event.issue.number }}).
+
+          Consider:
+          1. Similar titles or descriptions
+          2. Same error messages or symptoms
+          3. Related functionality or components
+          4. Similar feature requests
+
+          ---
+
+          POSTING YOUR COMMENT:
+
+          Based on your findings, post a SINGLE comment on issue #${{ github.event.issue.number }}. Build the comment as follows:
+
+          - If no related issues were found, do NOT comment at all.
+          - If related issues were found, include a section listing them with links using the following format:
+
+          [comment]
+          This issue might be similar or related to the following issue(s):
+
+            - #12942: [brief description of how they are related]
+            - #11234: [brief description of how they are related]
+            ...
+
+          _This comment was auto-generated locally using **$GA_ENGINE** on **$GA_MACHINE**_
+          [/comment]
+
+          Remember:
+            - Do not include the comment tags in your actual comment.
+            - Post at most ONE comment combining all findings.
+            - If you didn't find issues that are related enough, post nothing.
+            - You have access only to the 'gh' CLI tool - don't try to use other tools.
+            - If the output from a tool call is too long, try to limit down the search.
+          "
diff --git a/.github/workflows/build-android.yml b/.github/workflows/build-android.yml
index cd9d99ffab77c9660ee3bb0df06f5d66dfd8c48b..b38a793f186f2c84dfb071109af699057805f417 100644
--- a/.github/workflows/build-android.yml
+++ b/.github/workflows/build-android.yml
@@ -40,13 +40,9 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v6
-
-      # Disabled due to size (400MB) and always 0 cache hits
-      # - name: ccache
-      #   uses: ggml-org/ccache-action@v1.2.16
-      #   with:
-      #     key: android-build
-      #     evict-old-files: 1d
+        with:
+          fetch-depth: 0
+          lfs: false
 
       - name: Set up JDK
         uses: actions/setup-java@v5
@@ -55,7 +51,7 @@ jobs:
           distribution: zulu
 
       - name: Setup Android SDK
-        uses: android-actions/setup-android@v3
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
         with:
           log-accepted-android-sdk-licenses: false
 
@@ -66,10 +62,11 @@ jobs:
 
   android-ndk:
     runs-on: ubuntu-latest
-
-    env:
-      OPENCL_VERSION: 2025.07.22
-
+    container:
+      image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.3'
+    defaults:
+      run:
+        shell: bash
     strategy:
       matrix:
         include:
@@ -82,59 +79,23 @@ jobs:
       - name: Clone
         id: checkout
         uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+          lfs: false
 
-      - name: Install OpenCL Headers and Libs
-        id: install_opencl
-        if: ${{ matrix.build == 'arm64-snapdragon' }}
-        run: |
-          mkdir opencl
-          curl -L -o opencl/clhpp.tar.gz      https://github.com/KhronosGroup/OpenCL-CLHPP/archive/refs/tags/v${OPENCL_VERSION}.tar.gz
-          curl -L -o opencl/headers.tar.gz    https://github.com/KhronosGroup/OpenCL-Headers/archive/refs/tags/v${OPENCL_VERSION}.tar.gz
-          curl -L -o opencl/icd-loader.tar.gz https://github.com/KhronosGroup/OpenCL-ICD-Loader/archive/refs/tags/v${OPENCL_VERSION}.tar.gz
-          tar -xaf opencl/headers.tar.gz    -C opencl
-          tar -xaf opencl/clhpp.tar.gz      -C opencl
-          tar -xaf opencl/icd-loader.tar.gz -C opencl
-          sudo cp -r opencl/OpenCL-Headers-${OPENCL_VERSION}/CL         ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include
-          sudo cp -r opencl/OpenCL-CLHPP-${OPENCL_VERSION}/include/CL/* ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/CL
-          cd opencl/OpenCL-ICD-Loader-${OPENCL_VERSION}
-          cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -DOPENCL_ICD_LOADER_HEADERS_DIR=${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include -DANDROID_ABI=arm64-v8a -DANDROID_PLATFORM=31 -DANDROID_STL=c++_shared
-          cmake --build build
-          sudo cp build/libOpenCL.so ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android
-          rm -rf opencl
-
-      - name: Install Hexagon SDK
-        id: install_hexsdk
-        if: ${{ matrix.build == 'arm64-snapdragon' }}
-        env:
-          HEXSDK_VER: 6.4.0.2
-          HEXTLS_VER: 19.0.04
-        run: |
-          curl -L -o hex-sdk.tar.gz https://github.com/snapdragon-toolchain/hexagon-sdk/releases/download/v$HEXSDK_VER/hexagon-sdk-v$HEXSDK_VER-amd64-lnx.tar.xz
-          mkdir hex-sdk
-          tar -xaf hex-sdk.tar.gz -C hex-sdk
-          ls -l hex-sdk
-          sudo mv hex-sdk /opt/hexagon
-          echo "HEXAGON_SDK_ROOT=/opt/hexagon/$HEXSDK_VER"                                     >> "$GITHUB_ENV"
-          echo "HEXAGON_TOOLS_ROOT=/opt/hexagon/$HEXSDK_VER/tools/HEXAGON_Tools/$HEXTLS_VER"   >> "$GITHUB_ENV"
-          echo "DEFAULT_HLOS_ARCH=64"                                                          >> "$GITHUB_ENV"
-          echo "DEFAULT_TOOLS_VARIANT=toolv19"                                                 >> "$GITHUB_ENV"
-          echo "DEFAULT_NO_QURT_INC=0"                                                         >> "$GITHUB_ENV"
-          echo "DEFAULT_DSP_ARCH=v73"                                                          >> "$GITHUB_ENV"
-
-      - name: Update CMake presets
-        id: update_presets
-        if: ${{ matrix.build == 'arm64-snapdragon' }}
-        run: |
-          cp docs/backend/snapdragon/CMakeUserPresets.json .
-
-      - name: Build
-        id: ndk_build
+      - name: Build Llama.CPP for Hexagon Android
+        id: build_llama_cpp_hexagon_android
         run: |
+          if [[ "${{ matrix.build }}" == "arm64-snapdragon" ]]; then
+            cp docs/backend/snapdragon/CMakeUserPresets.json .
+          fi
           cmake ${{ matrix.defines }} -B build
           cmake --build build
           cmake --install build --prefix pkg-adb/llama.cpp
 
-      - name: Test
-        id: cmake_test
-        run: |
-          echo "FIXME: test on devices"
+      - name: Upload Llama.CPP Hexagon Android Build Artifact
+        if: ${{ always() && steps.build_llama_cpp_hexagon_android.outcome == 'success' }}
+        uses: actions/upload-artifact@v6
+        with:
+          name: llama-cpp-android-${{ matrix.build }}
+          path: pkg-adb/llama.cpp
diff --git a/.github/workflows/build-cann.yml b/.github/workflows/build-cann.yml
index de641ca148a829be2f6b88b97f25227fc8d33af2..d39b87637339181818d6cfca6d3a17b76532a8d5 100644
--- a/.github/workflows/build-cann.yml
+++ b/.github/workflows/build-cann.yml
@@ -63,7 +63,7 @@ jobs:
       - name: Set container image
         id: cann-image
         run: |
-          image="ascendai/cann:${{ matrix.chip_type == '910b' &&  '8.3.rc2-910b-openeuler24.03-py3.11' || '8.3.rc2-310p-openeuler24.03-py3.11' }}"
+          image="ascendai/cann:${{ matrix.chip_type == '910b' &&  '8.5.0-910b-openeuler24.03-py3.11' || '8.5.0-310p-openeuler24.03-py3.11' }}"
           echo "image=${image}" >> "${GITHUB_OUTPUT}"
 
       - name: Pull container image
diff --git a/.github/workflows/build-cross.yml b/.github/workflows/build-cross.yml
index 74508129ac50ac26bd26a95dd1301cd0252de516..aef45afdeac3def9163ec2390e0a407b3bf3637d 100644
--- a/.github/workflows/build-cross.yml
+++ b/.github/workflows/build-cross.yml
@@ -246,6 +246,7 @@ jobs:
           apt-get install -y --no-install-recommends \
                   build-essential \
                   glslc \
+                  spirv-headers \
                   gcc-14-loongarch64-linux-gnu \
                   g++-14-loongarch64-linux-gnu \
                   libvulkan-dev:loong64
diff --git a/.github/workflows/build-msys.yml b/.github/workflows/build-msys.yml
index 431d9b6a53dbd6e012afcbb12b754cbacc3c8611..57cec7c166c74c36bb3f51cf99c20275868f23af 100644
--- a/.github/workflows/build-msys.yml
+++ b/.github/workflows/build-msys.yml
@@ -43,7 +43,7 @@ jobs:
       #    save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Setup ${{ matrix.sys }}
-        uses: msys2/setup-msys2@v2
+        uses: msys2/setup-msys2@cafece8e6baf9247cf9b1bf95097b0b983cc558d # v2
         with:
           update: true
           msystem: ${{matrix.sys}}
diff --git a/.github/workflows/build-riscv.yml b/.github/workflows/build-riscv.yml
index 36a3a1155ac8259029319bd1fca71922c710f854..b78b13140e52da2b0d994641b4cb412b6838381d 100644
--- a/.github/workflows/build-riscv.yml
+++ b/.github/workflows/build-riscv.yml
@@ -35,7 +35,7 @@ env:
 
 jobs:
   ubuntu-riscv64-native-sanitizer:
-    runs-on: RISCV64
+    runs-on: ubuntu-24.04-riscv
 
     continue-on-error: true
 
@@ -47,20 +47,9 @@ jobs:
     steps:
       - name: Install dependencies
         run: |
-          sudo apt-get update
-
-          # Install necessary packages
-          sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential wget ccache git-lfs
-
           # Set gcc-14 and g++-14 as the default compilers
           sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
           sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
-          sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc
-          sudo ln -sf /usr/bin/g++-14 /usr/bin/g++
-
-          # Install Rust stable version
-          rustup install stable
-          rustup default stable
 
           git lfs install
 
@@ -73,23 +62,12 @@ jobs:
         id: checkout
         uses: actions/checkout@v6
 
-      - name: Setup ccache
-        run: |
-          # Unique cache directory per matrix combination
-          export CCACHE_DIR="$HOME/.ccache/sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}"
-          mkdir -p "$CCACHE_DIR"
-
-          # Configure ccache
-          ccache --set-config=max_size=5G
-          ccache --set-config=compression=true
-          ccache --set-config=compression_level=6
-          ccache --set-config=cache_dir="$CCACHE_DIR"
-          ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime
-          ccache --set-config=hash_dir=false
-
-          # Export for subsequent steps
-          echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV
-          echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV
+      - name: ccache
+        uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
+        with:
+          key: ubuntu-riscv64-native-sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
diff --git a/.github/workflows/build-self-hosted.yml b/.github/workflows/build-self-hosted.yml
index 2944cb8401c9c0704281bdcfd362f36461e87ae4..52624a46d77f8bac2da08d2a6eb3ac3ac55e772f 100644
--- a/.github/workflows/build-self-hosted.yml
+++ b/.github/workflows/build-self-hosted.yml
@@ -97,6 +97,36 @@ jobs:
           vulkaninfo --summary
           GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
 
+  # TODO: investigate slight precision issues in some operations for test-backend-ops on the WebGPU backend.
+  #ggml-ci-nvidia-webgpu:
+  #  runs-on: [self-hosted, Linux, NVIDIA]
+
+  #  steps:
+  #    - name: Clone
+  #      id: checkout
+  #      uses: actions/checkout@v6
+
+  #    - name: Dawn Dependency
+  #      id: dawn-depends
+  #      run: |
+  #        DAWN_VERSION="v20260317.182325"
+  #        DAWN_OWNER="google"
+  #        DAWN_REPO="dawn"
+  #        DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release"
+  #        echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+  #        curl -L -o artifact.tar.gz \
+  #          "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+  #        mkdir dawn
+  #        tar -xvf artifact.tar.gz -C dawn --strip-components=1
+
+  #    - name: Test
+  #      id: ggml-ci
+  #      run: |
+  #        GG_BUILD_WEBGPU=1 \
+  #        GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
+  #        GG_BUILD_WEBGPU_DAWN_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
+  #          bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
+
   # TODO: provision AMX-compatible machine
   #ggml-ci-cpu-amx:
   #  runs-on: [self-hosted, Linux, CPU, AMX]
@@ -165,16 +195,15 @@ jobs:
       - name: Dawn Dependency
         id: dawn-depends
         run: |
-          DAWN_VERSION="v2.0.0"
-          DAWN_OWNER="reeselevine"
+          DAWN_VERSION="v20260317.182325"
+          DAWN_OWNER="google"
           DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release"
-          echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
-          curl -L -o artifact.zip \
-            "https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
+          DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release"
+          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+          curl -L -o artifact.tar.gz \
+            "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
           mkdir dawn
-          unzip artifact.zip
-          tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
+          tar -xvf artifact.tar.gz -C dawn --strip-components=1
 
       - name: Test
         id: ggml-ci
@@ -212,6 +241,27 @@ jobs:
           vulkaninfo --summary
           GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
 
+  ggml-ci-win-intel-vulkan:
+    runs-on: [self-hosted, Windows, X64, Intel]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        shell: C:\msys64\usr\bin\bash.exe --noprofile --norc -eo pipefail "{0}"
+        env:
+          MSYSTEM: UCRT64
+          CHERE_INVOKING: 1
+          PATH: C:\msys64\ucrt64\bin;C:\msys64\usr\bin;C:\Windows\System32;${{ env.PATH }}
+        run: |
+          vulkaninfo --summary
+          # Skip python related tests with GG_BUILD_LOW_PERF=1 since Windows MSYS2 UCRT64 currently fails to create
+          # a valid python environment for testing
+          LLAMA_FATAL_WARNINGS=OFF GG_BUILD_NINJA=1 GG_BUILD_VULKAN=1 GG_BUILD_LOW_PERF=1 ./ci/run.sh ./results/llama.cpp ./mnt/llama.cpp
+
   ggml-ci-intel-openvino-gpu-low-perf:
     runs-on: [self-hosted, Linux, Intel, OpenVINO]
 
diff --git a/.github/workflows/build-vulkan.yml b/.github/workflows/build-vulkan.yml
index dba240a37e98f2cb53e100b5970a81fd35219f23..ab32b6525ba2c40fdca2e5cdd686bd6d1ce8162d 100644
--- a/.github/workflows/build-vulkan.yml
+++ b/.github/workflows/build-vulkan.yml
@@ -72,7 +72,7 @@ jobs:
 
       - name: Setup Vulkan SDK
         if: steps.cache-sdk.outputs.cache-hit != 'true'
-        uses: ./.github/actions/linux-setup-vulkan-llvmpipe
+        uses: ./.github/actions/linux-setup-vulkan
         with:
           path: ./vulkan_sdk
           version: ${{ env.VULKAN_SDK_VERSION }}
@@ -93,4 +93,5 @@ jobs:
           export GGML_VK_DISABLE_F16=1
           export GGML_VK_DISABLE_COOPMAT=1
           # This is using llvmpipe and runs slower than other backends
-          ctest -L main --verbose --timeout 4800
+          # test-backend-ops is too slow on llvmpipe, skip it
+          ctest -L main -E test-backend-ops --verbose --timeout 900
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 6d500d30986edc8b8def12f70fd3ce38afe960ab..28c8665bd8bf9917a8756e57f05ddc48a4b9a62a 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -87,7 +87,7 @@ jobs:
             -DGGML_METAL_EMBED_LIBRARY=OFF \
             -DGGML_METAL_SHADER_DEBUG=ON \
             -DGGML_RPC=ON
-          cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
+          time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
           leaks -atExit -- ./build/bin/test-thread-safety -hf ggml-org/gemma-3-270m-qat-GGUF -ngl 99 -p "$(printf 'hello %.0s' {1..128})" -n 16 -c 512 -ub 32 -np 2 -t 2 -lv 1
 
       - name: Test
@@ -124,7 +124,7 @@ jobs:
             -DGGML_METAL=OFF \
             -DGGML_RPC=ON \
             -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
-          cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
+          time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
 
       - name: Test
         id: cmake_test
@@ -150,23 +150,22 @@ jobs:
       - name: Dawn Dependency
         id: dawn-depends
         run: |
-          DAWN_VERSION="v2.0.0"
-          DAWN_OWNER="reeselevine"
+          DAWN_VERSION="v20260317.182325"
+          DAWN_OWNER="google"
           DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release"
-          echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
-          curl -L -o artifact.zip \
-            "https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
+          DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release"
+          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+          curl -L -o artifact.tar.gz \
+            "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
           mkdir dawn
-          unzip artifact.zip
-          tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
+          tar -xvf artifact.tar.gz -C dawn --strip-components=1
 
       - name: Build
         id: cmake_build
         run: |
           export CMAKE_PREFIX_PATH=dawn
-          cmake -B build -DGGML_WEBGPU=ON -DGGML_METAL=OFF -DGGML_BLAS=OFF
-          cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
+          cmake -B build -G "Ninja" -DCMAKE_BUILD_TYPE=Release -DGGML_WEBGPU=ON -DGGML_METAL=OFF -DGGML_BLAS=OFF
+          time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
 
       - name: Test
         id: cmake_test
@@ -181,7 +180,7 @@ jobs:
           - build: 'x64'
             os: ubuntu-22.04
           - build: 'arm64'
-            os: ubuntu-22.04-arm
+            os: ubuntu-24.04-arm
           - build: 's390x'
             os: ubuntu-24.04-s390x
           - build: 'ppc64le'
@@ -207,14 +206,22 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install -y --no-install-recommends \
-            python3 python3-pip python3-dev \
+            python3 python3-pip python3-dev python3-wheel \
             libjpeg-dev build-essential libssl-dev \
             git-lfs
 
+      - name: Toolchain workaround (GCC 14)
+        if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
+        run: |
+          sudo apt-get install -y gcc-14 g++-14
+          echo "CC=gcc-14" >> "$GITHUB_ENV"
+          echo "CXX=g++-14" >> "$GITHUB_ENV"
+
       - name: Python Dependencies
         id: python_depends
         run: |
-          python3 -m pip install --upgrade pip
+          export PIP_BREAK_SYSTEM_PACKAGES="1"
+          python3 -m pip install --upgrade pip setuptools
           pip3 install ./gguf-py
 
       - name: Swap Endianness
@@ -231,7 +238,7 @@ jobs:
           cmake -B build \
             -DLLAMA_FATAL_WARNINGS=ON \
             -DGGML_RPC=ON
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
       - name: Test
         id: cmake_test
@@ -260,6 +267,56 @@ jobs:
           wget https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories260K-be.gguf
           ./bin/llama-completion -m stories260K-be.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
 
+  android-arm64:
+    runs-on: ubuntu-latest
+
+    env:
+      NDK_VERSION: "29.0.14206865"
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: android-arm64
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Set up JDK
+        uses: actions/setup-java@v5
+        with:
+          java-version: 17
+          distribution: temurin
+
+      - name: Setup Android SDK
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
+        with:
+          log-accepted-android-sdk-licenses: false
+
+      - name: Install NDK
+        run: |
+          sdkmanager "ndk;${{ env.NDK_VERSION }}"
+          echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
+
+      - name: Build
+        id: cmake_build
+        run: |
+          cmake -B build \
+            -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
+            -DANDROID_ABI=arm64-v8a \
+            -DANDROID_PLATFORM=android-28 \
+            -DLLAMA_FATAL_WARNINGS=ON \
+            -DGGML_BACKEND_DL=ON \
+            -DGGML_NATIVE=OFF \
+            -DGGML_CPU_ALL_VARIANTS=ON \
+            -DGGML_OPENMP=OFF \
+            -DLLAMA_BUILD_BORINGSSL=ON \
+            -DGGML_RPC=ON
+          time cmake --build build --config Release -j $(nproc)
+
   ubuntu-latest-rpc:
     runs-on: ubuntu-latest
 
@@ -274,14 +331,16 @@ jobs:
         id: depends
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential libssl-dev
+          sudo apt-get install build-essential libssl-dev ninja-build
 
       - name: Build
         id: cmake_build
         run: |
           cmake -B build \
+            -G "Ninja" \
+            -DCMAKE_BUILD_TYPE=Release \
             -DGGML_RPC=ON
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
       - name: Test
         id: cmake_test
@@ -290,7 +349,15 @@ jobs:
           ctest -L main --verbose
 
   ubuntu-24-vulkan:
-    runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
+    strategy:
+      matrix:
+        include:
+          - build: 'x64'
+            os: ubuntu-24.04
+          - build: 'arm64'
+            os: ubuntu-24.04-arm
+
+    runs-on: ${{ matrix.os }}
 
     steps:
       - name: Clone
@@ -300,12 +367,16 @@ jobs:
       - name: Dependencies
         id: depends
         run: |
-          sudo apt-get install -y glslc libvulkan-dev libssl-dev
+          sudo apt-get update
+          sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
+          echo "CC=gcc-14" >> "$GITHUB_ENV"
+          echo "CXX=g++-14" >> "$GITHUB_ENV"
 
       - name: Configure
         id: cmake_configure
         run: |
           cmake -B build \
+            -G "Ninja" \
             -DCMAKE_BUILD_TYPE=RelWithDebInfo \
             -DGGML_BACKEND_DL=ON \
             -DGGML_CPU_ALL_VARIANTS=ON \
@@ -314,7 +385,7 @@ jobs:
       - name: Build
         id: cmake_build
         run: |
-          cmake --build build -j $(nproc)
+          time cmake --build build -j $(nproc)
 
   ubuntu-24-webgpu:
     runs-on: ubuntu-24.04
@@ -336,7 +407,8 @@ jobs:
         run: |
           sudo add-apt-repository -y ppa:kisak/kisak-mesa
           sudo apt-get update -y
-          sudo apt-get install -y build-essential mesa-vulkan-drivers libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev
+          sudo apt-get install -y build-essential mesa-vulkan-drivers \
+            libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev
 
       - name: Get latest Vulkan SDK version
         id: vulkan_sdk_version
@@ -361,16 +433,15 @@ jobs:
         id: dawn-depends
         run: |
           sudo apt-get install -y libxrandr-dev libxinerama-dev libxcursor-dev mesa-common-dev libx11-xcb-dev libxi-dev
-          DAWN_VERSION="v2.0.0"
-          DAWN_OWNER="reeselevine"
+          DAWN_VERSION="v20260317.182325"
+          DAWN_OWNER="google"
           DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-ubuntu-latest-Release"
-          echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
-          curl -L -o artifact.zip \
-            "https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
+          DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release"
+          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+          curl -L -o artifact.tar.gz \
+            "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
           mkdir dawn
-          unzip artifact.zip
-          tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
+          tar -xvf artifact.tar.gz -C dawn --strip-components=1
 
       - name: Build
         id: cmake_build
@@ -378,7 +449,7 @@ jobs:
           export Dawn_DIR=dawn/lib64/cmake/Dawn
           cmake -B build \
             -DGGML_WEBGPU=ON
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
       - name: Test
         id: cmake_test
@@ -404,7 +475,7 @@ jobs:
 
       - name: Fetch emdawnwebgpu
         run: |
-          DAWN_TAG="v20251027.212519"
+          DAWN_TAG="v20260317.182325"
           EMDAWN_PKG="emdawnwebgpu_pkg-${DAWN_TAG}.zip"
           echo "Downloading ${EMDAWN_PKG}"
           curl -L -o emdawn.zip \
@@ -415,11 +486,13 @@ jobs:
         run: |
           source emsdk/emsdk_env.sh
           emcmake cmake -B build-wasm \
+            -G "Ninja" \
+            -DCMAKE_BUILD_TYPE=Release \
             -DGGML_WEBGPU=ON \
             -DLLAMA_OPENSSL=OFF \
             -DEMDAWNWEBGPU_DIR=emdawnwebgpu_pkg
 
-          cmake --build build-wasm --target test-backend-ops -j $(nproc)
+          time cmake --build build-wasm --config Release --target test-backend-ops -j $(nproc)
 
   ubuntu-22-hip:
     runs-on: ubuntu-22.04
@@ -449,6 +522,7 @@ jobs:
           cmake -B build -S . \
             -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
             -DGGML_HIP_ROCWMMA_FATTN=ON \
+            -DGPU_TARGETS="gfx1030" \
             -DGGML_HIP=ON
           cmake --build build --config Release -j $(nproc)
 
@@ -479,7 +553,7 @@ jobs:
         run: |
           cmake -B build -S . \
             -DGGML_MUSA=ON
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
   ubuntu-22-sycl:
     runs-on: ubuntu-22.04
@@ -528,7 +602,7 @@ jobs:
             -DGGML_SYCL=ON \
             -DCMAKE_C_COMPILER=icx \
             -DCMAKE_CXX_COMPILER=icpx
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
   ubuntu-22-sycl-fp16:
     runs-on: ubuntu-22.04
@@ -551,7 +625,7 @@ jobs:
         shell: bash
         run: |
           sudo apt update
-          sudo apt install intel-oneapi-compiler-dpcpp-cpp libssl-dev
+          sudo apt install intel-oneapi-compiler-dpcpp-cpp libssl-dev ninja-build
 
       - name: install oneAPI MKL library
         shell: bash
@@ -574,11 +648,13 @@ jobs:
         run: |
           source /opt/intel/oneapi/setvars.sh
           cmake -B build \
+            -G "Ninja" \
+            -DCMAKE_BUILD_TYPE=Release \
             -DGGML_SYCL=ON \
             -DCMAKE_C_COMPILER=icx \
             -DCMAKE_CXX_COMPILER=icpx \
             -DGGML_SYCL_F16=ON
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
   ubuntu-24-openvino:
       name: ubuntu-24-openvino-${{ matrix.openvino_device }}
@@ -648,7 +724,7 @@ jobs:
             cmake -B build/ReleaseOV -G Ninja \
               -DCMAKE_BUILD_TYPE=Release \
               -DGGML_OPENVINO=ON
-            cmake --build build/ReleaseOV --config Release -j $(nproc)
+            time cmake --build build/ReleaseOV --config Release -j $(nproc)
 
         - name: Test
           id: cmake_test
@@ -916,7 +992,7 @@ jobs:
       - name: Grab rocWMMA package
         id: grab_rocwmma
         run: |
-          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70200-43~24.04_amd64.deb"
+          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2.1/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70201-81~24.04_amd64.deb"
           7z x rocwmma.deb
           7z x data.tar
 
@@ -959,42 +1035,32 @@ jobs:
           cmake -G "Unix Makefiles" -B build -S . `
             -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
             -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.0/include/" `
+            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.1/include/" `
             -DCMAKE_BUILD_TYPE=Release `
             -DLLAMA_BUILD_BORINGSSL=ON `
             -DROCM_DIR="${env:HIP_PATH}" `
             -DGGML_HIP=ON `
             -DGGML_HIP_ROCWMMA_FATTN=ON `
+            -DGPU_TARGETS="gfx1100"  `
             -DGGML_RPC=ON
           cmake --build build -j ${env:NUMBER_OF_PROCESSORS}
 
   ubuntu-cpu-riscv64-native:
-    runs-on: RISCV64
+    runs-on: ubuntu-24.04-riscv
 
     steps:
       - name: Install dependencies
         run: |
-          sudo apt-get update
-
           # Install necessary packages
-          sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential libssl-dev wget ccache git-lfs
+          sudo apt-get update
+          sudo apt-get install -y libssl-dev
 
           # Set gcc-14 and g++-14 as the default compilers
           sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
           sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
-          sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc
-          sudo ln -sf /usr/bin/g++-14 /usr/bin/g++
-
-          # Install Rust stable version
-          rustup install stable
-          rustup default stable
 
           git lfs install
 
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
       - name: Check environment
         run: |
           uname -a
@@ -1004,25 +1070,16 @@ jobs:
           cmake --version
           rustc --version
 
-      - name: Setup ccache
-        run: |
-          # Set unique cache directory for this job
-          export CCACHE_DIR="$HOME/.ccache/cpu-cmake-rv64-native"
-          mkdir -p "$CCACHE_DIR"
-
-          # Configure ccache for optimal performance
-          ccache --set-config=max_size=5G
-          ccache --set-config=compression=true
-          ccache --set-config=compression_level=6
-          ccache --set-config=cache_dir="$CCACHE_DIR"
-
-          # Enable more aggressive caching
-          ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime
-          ccache --set-config=hash_dir=false
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
 
-          # Export for subsequent steps
-          echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV
-          echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV
+      - name: ccache
+        uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
+        with:
+          key: ubuntu-cpu-riscv64-native
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
@@ -1039,7 +1096,7 @@ jobs:
             -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
             -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14
 
-          cmake --build build --config Release -j $(nproc)
+          time cmake --build build --config Release -j $(nproc)
 
       - name: Test
         id: cmake_test
diff --git a/.github/workflows/close-issue.yml b/.github/workflows/close-issue.yml
index ec3df08b2d6d4fe394081d3bf269c74b4dada3e1..4698cee5594b1337f059926e9ff487c578360dc0 100644
--- a/.github/workflows/close-issue.yml
+++ b/.github/workflows/close-issue.yml
@@ -17,7 +17,7 @@ jobs:
     steps:
       - uses: actions/stale@v10
         with:
-          exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap"
+          exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap,security"
           days-before-issue-stale: 30
           days-before-issue-close: 14
           stale-issue-label: "stale"
diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml
index 749debee4138b83eb6a2e69a238168f5a625efd9..6f648bac45b743feefcc2929044fddbcd66281e0 100644
--- a/.github/workflows/copilot-setup-steps.yml
+++ b/.github/workflows/copilot-setup-steps.yml
@@ -54,4 +54,3 @@ jobs:
           python3 -m venv .venv
           source .venv/bin/activate
           pip install -r requirements/requirements-all.txt -r tools/server/tests/requirements.txt
-          pip install flake8 pyright pre-commit
diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
index 9b0a3f8a70ea228006565bc5368c25b888526f75..a5bae7141fe1e44fa4806e3109359027e73db996 100644
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@@ -25,64 +25,146 @@ permissions:
   packages: write
 
 jobs:
+  create_tag:
+    name: Create and push git tag
+    runs-on: ubuntu-slim
+    permissions:
+      contents: write
+    outputs:
+      source_tag: ${{ steps.srctag.outputs.name }}
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Determine source tag name
+        id: srctag
+        uses: ./.github/actions/get-tag-name
+        env:
+          BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
+
+      - name: Create and push git tag
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          git tag ${{ steps.srctag.outputs.name }} || exit 0
+          git push origin ${{ steps.srctag.outputs.name }} || exit 0
+
+  prepare_matrices:
+    name: Prepare Docker matrices
+    runs-on: ubuntu-24.04
+    outputs:
+      build_matrix: ${{ steps.matrices.outputs.build_matrix }}
+      merge_matrix: ${{ steps.matrices.outputs.merge_matrix }}
+
+    steps:
+      - name: Generate build and merge matrices
+        id: matrices
+        shell: bash
+        run: |
+          set -euo pipefail
+
+          # Keep all build targets in one place and derive merge targets from it.
+          cat > build-matrix.json <<'JSON'
+          [
+            { "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
+            { "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "cpu", "dockerfile": ".devops/s390x.Dockerfile", "platforms": "linux/s390x", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-s390x" },
+            { "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "12.8.1", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "12.8.1", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "cuda13", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "13.1.1", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "cuda13", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "13.1.1", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "musa", "dockerfile": ".devops/musa.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "intel", "dockerfile": ".devops/intel.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
+            { "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "rocm", "dockerfile": ".devops/rocm.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "openvino", "dockerfile": ".devops/openvino.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" }
+          ]
+          JSON
+
+          BUILD_MATRIX="$(jq -c . build-matrix.json)"
+          MERGE_MATRIX="$(jq -c '
+            reduce .[] as $entry ({}; .[$entry.tag] |= (
+              . // {
+                tag: $entry.tag,
+                arches: [],
+                full: false,
+                light: false,
+                server: false
+              }
+              | .full = (.full or ($entry.full // false))
+              | .light = (.light or ($entry.light // false))
+              | .server = (.server or ($entry.server // false))
+              | .arches += [($entry.platforms | sub("^linux/"; ""))]
+            ))
+            # Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
+            | if (has("cpu") and (((.cpu.arches // []) | index("s390x")) != null)) then
+                . + {
+                  s390x: {
+                    tag: "s390x",
+                    arches: ["s390x"],
+                    full: .cpu.full,
+                    light: .cpu.light,
+                    server: .cpu.server
+                  }
+                }
+              else
+                .
+              end
+            | [.[] | .arches = (.arches | unique | sort | join(" "))]
+          ' build-matrix.json)"
+
+          echo "build_matrix=$BUILD_MATRIX" >> "$GITHUB_OUTPUT"
+          echo "merge_matrix=$MERGE_MATRIX" >> "$GITHUB_OUTPUT"
+
   push_to_registry:
-    name: Push Docker image to Docker Hub
+    name: Push Docker image to Docker Registry
+    needs: [prepare_matrices, create_tag]
 
     runs-on: ${{ matrix.config.runs_on }}
-    env:
-      COMMIT_SHA: ${{ github.sha }}
     strategy:
       fail-fast: false
       matrix:
-        config:
-          # Multi-stage build
-          # Note: the arm64 images are failing, which prevents the amd64 images from being built
-          # https://github.com/ggml-org/llama.cpp/issues/11888
-          #- { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64,linux/arm64", full: true, light: true, server: true, free_disk_space: false }
-          - { tag: "cpu",    dockerfile: ".devops/cpu.Dockerfile",    platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
-          - { tag: "cuda cuda12", dockerfile: ".devops/cuda.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-22.04", cuda_version: "12.4.0", ubuntu_version: "22.04" }
-          - { tag: "cuda13", dockerfile: ".devops/cuda-new.Dockerfile",  platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-22.04", cuda_version: "13.1.0", ubuntu_version: "24.04" }
-          - { tag: "musa",   dockerfile: ".devops/musa.Dockerfile",   platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-22.04" }
-          - { tag: "intel",  dockerfile: ".devops/intel.Dockerfile",  platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-22.04" }
-          - { tag: "vulkan", dockerfile: ".devops/vulkan.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
-          - { tag: "s390x",  dockerfile: ".devops/s390x.Dockerfile",  platforms: "linux/s390x", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04-s390x" }
-          - { tag: "rocm",   dockerfile: ".devops/rocm.Dockerfile",   platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-22.04" }
-          - { tag: "openvino", dockerfile: ".devops/openvino.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
+        config: ${{ fromJSON(needs.prepare_matrices.outputs.build_matrix) }}
     steps:
       - name: Check out the repo
         uses: actions/checkout@v6
         with:
-          fetch-depth: 0 # preserve git history, so we can determine the build number
+          fetch-depth: 0
+          ref: ${{ needs.create_tag.outputs.source_tag }}
 
       - name: Set up QEMU
-        if: ${{ matrix.config.tag != 's390x' }}
-        uses: docker/setup-qemu-action@v3
+        if: ${{ contains(matrix.config.platforms, 'linux/amd64') }}
+        uses: docker/setup-qemu-action@ce360397dd3f832beb865e1373c09c0e9f86d70a # v4
         with:
-          image: tonistiigi/binfmt:qemu-v7.0.0-28
+          image: tonistiigi/binfmt:qemu-v10.2.1
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
 
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
+      - name: Log in to Docker Registry
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Determine source tag name
-        id: srctag
-        uses: ./.github/actions/get-tag-name
-        env:
-          BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
-
-      - name: Determine image tag name
-        id: tag
+      - name: Determine image metadata
+        id: meta
         shell: bash
         run: |
+          set -euo pipefail
+
           REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}"  # to lower case
           REPO_NAME="${{ github.event.repository.name }}"
-          PREFIX="ghcr.io/${REPO_OWNER}/${REPO_NAME}:"
+          IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
+          PREFIX="${IMAGE_REPO}:"
+          PLATFORM="${{ matrix.config.platforms }}"
+          ARCH_SUFFIX="${PLATFORM#linux/}"
 
           # list all tags possible
           tags="${{ matrix.config.tag }}"
@@ -92,19 +174,16 @@ jobs:
               else
                   TYPE="-$tag"
               fi
-              CACHETAGS="${PREFIX}buildcache${TYPE}"
-              FULLTAGS="${FULLTAGS:+$FULLTAGS,}${PREFIX}full${TYPE},${PREFIX}full${TYPE}-${{ steps.srctag.outputs.name }}"
-              LIGHTTAGS="${LIGHTTAGS:+$LIGHTTAGS,}${PREFIX}light${TYPE},${PREFIX}light${TYPE}-${{ steps.srctag.outputs.name }}"
-              SERVERTAGS="${SERVERTAGS:+$SERVERTAGS,}${PREFIX}server${TYPE},${PREFIX}server${TYPE}-${{ steps.srctag.outputs.name }}"
+              CACHETAG="${PREFIX}buildcache${TYPE}-${ARCH_SUFFIX}"
           done
-          echo "cache_output_tags=$CACHETAGS" >> $GITHUB_OUTPUT
-          echo "full_output_tags=$FULLTAGS" >> $GITHUB_OUTPUT
-          echo "light_output_tags=$LIGHTTAGS" >> $GITHUB_OUTPUT
-          echo "server_output_tags=$SERVERTAGS" >> $GITHUB_OUTPUT
-          echo "cache_output_tags=$CACHETAGS"  # print out for debugging
-          echo "full_output_tags=$FULLTAGS"  # print out for debugging
-          echo "light_output_tags=$LIGHTTAGS"  # print out for debugging
-          echo "server_output_tags=$SERVERTAGS"  # print out for debugging
+
+          SAFE_TAGS="$(echo "$tags" | tr ' ' '_')"
+
+          echo "image_repo=$IMAGE_REPO" >> $GITHUB_OUTPUT
+          echo "arch_suffix=$ARCH_SUFFIX" >> $GITHUB_OUTPUT
+          echo "cache_output_tag=$CACHETAG" >> $GITHUB_OUTPUT
+          echo "digest_artifact_suffix=${SAFE_TAGS}-${ARCH_SUFFIX}" >> $GITHUB_OUTPUT
+          echo "cache_output_tag=$CACHETAG"  # print out for debugging
         env:
           GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
 
@@ -125,15 +204,14 @@ jobs:
           docker-images: true
           swap-storage: true
 
-      - name: Build and push Full Docker image (tagged + versioned)
+      - name: Build and push Full Docker image by digest
+        id: build_full
         if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
         with:
           context: .
-          push: true
           platforms: ${{ matrix.config.platforms }}
-          # tag list is generated from step above
-          tags: ${{ steps.tag.outputs.full_output_tags }}
+          outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true
           file: ${{ matrix.config.dockerfile }}
           target: full
           provenance: false
@@ -147,18 +225,17 @@ jobs:
           #cache-to: type=local,dest=/tmp/.buildx-cache
           #cache-from: type=local,src=/tmp/.buildx-cache
           # using registry cache (no storage limit)
-          cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
-          cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
+          cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
+          cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
 
-      - name: Build and push Light Docker image (tagged + versioned)
+      - name: Build and push Light Docker image by digest
+        id: build_light
         if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
         with:
           context: .
-          push: true
           platforms: ${{ matrix.config.platforms }}
-          # tag list is generated from step above
-          tags: ${{ steps.tag.outputs.light_output_tags }}
+          outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true
           file: ${{ matrix.config.dockerfile }}
           target: light
           provenance: false
@@ -172,18 +249,17 @@ jobs:
           #cache-to: type=local,dest=/tmp/.buildx-cache
           #cache-from: type=local,src=/tmp/.buildx-cache
           # using registry cache (no storage limit)
-          cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
-          cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
+          cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
+          cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
 
-      - name: Build and push Server Docker image (tagged + versioned)
+      - name: Build and push Server Docker image by digest
+        id: build_server
         if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
         with:
           context: .
-          push: true
           platforms: ${{ matrix.config.platforms }}
-          # tag list is generated from step above
-          tags: ${{ steps.tag.outputs.server_output_tags }}
+          outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true
           file: ${{ matrix.config.dockerfile }}
           target: server
           provenance: false
@@ -197,31 +273,170 @@ jobs:
           #cache-to: type=local,dest=/tmp/.buildx-cache
           #cache-from: type=local,src=/tmp/.buildx-cache
           # using registry cache (no storage limit)
-          cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
-          cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
+          cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
+          cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
 
-  create_tag:
-    name: Create and push git tag
-    runs-on: ubuntu-22.04
-    permissions:
-      contents: write
+      - name: Export digest metadata
+        shell: bash
+        run: |
+            set -euo pipefail
+
+            TAGS="${{ matrix.config.tag }}"
+            ARCH_SUFFIX="${{ steps.meta.outputs.arch_suffix }}"
+            DIGEST_FILE="/tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv"
+            mkdir -p /tmp/digests
+
+            add_digest_rows() {
+                local image_type="$1"
+                local digest="$2"
+
+                if [[ -z "$digest" ]]; then
+                  echo "Missing digest for image_type=${image_type}" >&2
+                  exit 1
+                fi
+
+                for tag in $TAGS; do
+                    printf '%s\t%s\t%s\t%s\n' "$tag" "$ARCH_SUFFIX" "$image_type" "$digest" >> "$DIGEST_FILE"
+                done
+            }
+
+            if [[ "${{ matrix.config.full }}" == "true" ]]; then
+                add_digest_rows "full" "${{ steps.build_full.outputs.digest }}"
+            fi
+
+            if [[ "${{ matrix.config.light }}" == "true" ]]; then
+                add_digest_rows "light" "${{ steps.build_light.outputs.digest }}"
+            fi
+
+            if [[ "${{ matrix.config.server }}" == "true" ]]; then
+                add_digest_rows "server" "${{ steps.build_server.outputs.digest }}"
+            fi
+
+      - name: Upload digest metadata
+        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7
+        with:
+          name: digests-${{ steps.meta.outputs.digest_artifact_suffix }}
+          path: /tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv
+          if-no-files-found: error
+
+  merge_arch_tags:
+    name: Create shared tags from digests
+    needs: [prepare_matrices, push_to_registry, create_tag]
+    runs-on: ubuntu-24.04
+    strategy:
+      fail-fast: false
+      matrix:
+        config: ${{ fromJSON(needs.prepare_matrices.outputs.merge_matrix) }}
 
     steps:
-      - name: Clone
-        id: checkout
+      - name: Check out the repo
         uses: actions/checkout@v6
         with:
           fetch-depth: 0
 
-      - name: Determine source tag name
-        id: srctag
-        uses: ./.github/actions/get-tag-name
-        env:
-          BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
+      - name: Download digest metadata
+        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
+        with:
+          pattern: digests-*
+          path: /tmp/digests
+          merge-multiple: true
 
-      - name: Create and push git tag
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
+
+      - name: Log in to Docker Registry
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Create tags from digests
+        shell: bash
         run: |
-          git tag ${{ steps.srctag.outputs.name }} || exit 0
-          git push origin ${{ steps.srctag.outputs.name }} || exit 0
+          set -euo pipefail
+
+          REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}"  # to lower case
+          REPO_NAME="${{ github.event.repository.name }}"
+          IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
+          PREFIX="${IMAGE_REPO}:"
+          SRC_TAG="${{ needs.create_tag.outputs.source_tag }}"
+          TAGS="${{ matrix.config.tag }}"
+          ARCHES="${{ matrix.config.arches }}"
+          DIGEST_GLOB="/tmp/digests/*.tsv"
+
+          if ! ls ${DIGEST_GLOB} >/dev/null 2>&1; then
+              echo "No digest metadata found in /tmp/digests" >&2
+              exit 1
+          fi
+
+          if [[ -z "$SRC_TAG" ]]; then
+              echo "Missing source tag from create_tag" >&2
+              exit 1
+          fi
+
+          find_digest() {
+              local tag_name="$1"
+              local arch="$2"
+              local image_type="$3"
+              local digest
+
+              digest="$(awk -F '\t' -v t="$tag_name" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
+
+              # Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
+              if [[ -z "$digest" && "$tag_name" == "s390x" && "$arch" == "s390x" ]]; then
+                digest="$(awk -F '\t' -v t="cpu" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
+              fi
+
+              if [[ -z "$digest" ]]; then
+                echo "Missing digest for tag=${tag_name} arch=${arch} image_type=${image_type}" >&2
+                exit 1
+              fi
+
+              echo "$digest"
+          }
+
+          create_manifest_tags() {
+              local image_type="$1"
+              local tag_name="$2"
+              local suffix="$3"
+
+              local merged_tag="${PREFIX}${image_type}${suffix}"
+              local merged_versioned_tag="${merged_tag}-${SRC_TAG}"
+
+              local refs=()
+
+              for arch in $ARCHES; do
+                  local digest
+                  digest="$(find_digest "$tag_name" "$arch" "$image_type")"
+                  refs+=("${IMAGE_REPO}@${digest}")
+              done
+
+              echo "Creating ${merged_tag} from ${refs[*]}"
+              docker buildx imagetools create --tag "${merged_tag}" "${refs[@]}"
+
+              echo "Creating ${merged_versioned_tag} from ${refs[*]}"
+              docker buildx imagetools create --tag "${merged_versioned_tag}" "${refs[@]}"
+          }
+
+          for tag in $TAGS; do
+              if [[ "$tag" == "cpu" ]]; then
+                  TYPE=""
+              else
+                  TYPE="-$tag"
+              fi
+
+              if [[ "${{ matrix.config.full }}" == "true" ]]; then
+                  create_manifest_tags "full" "$tag" "$TYPE"
+              fi
+
+              if [[ "${{ matrix.config.light }}" == "true" ]]; then
+                  create_manifest_tags "light" "$tag" "$TYPE"
+              fi
+
+              if [[ "${{ matrix.config.server }}" == "true" ]]; then
+                  create_manifest_tags "server" "$tag" "$TYPE"
+              fi
+          done
+        env:
+          GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
diff --git a/.github/workflows/editorconfig.yml b/.github/workflows/editorconfig.yml
index 702dc89f5b17e9c665b4ce250f52da0aa020564d..a2d4d0a3a7869975c82e1f1fc6a201519b0ccc6e 100644
--- a/.github/workflows/editorconfig.yml
+++ b/.github/workflows/editorconfig.yml
@@ -23,7 +23,7 @@ jobs:
     runs-on: ubuntu-slim
     steps:
       - uses: actions/checkout@v6
-      - uses: editorconfig-checker/action-editorconfig-checker@v2
+      - uses: editorconfig-checker/action-editorconfig-checker@840e866d93b8e032123c23bac69dece044d4d84c # v2.2.0
         with:
           version: v3.0.3
       - run: editorconfig-checker
diff --git a/.github/workflows/gguf-publish.yml b/.github/workflows/gguf-publish.yml
index 5bdab0f157b98ec00d39bc1b1dca1f55931d555b..a1fba046a9313a53a7a21d1bc338e3ceac4ec453 100644
--- a/.github/workflows/gguf-publish.yml
+++ b/.github/workflows/gguf-publish.yml
@@ -28,17 +28,17 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v6
       with:
-        python-version: '3.9.x'
+        python-version: '3.11'
     - name: Install dependencies
       run: |
         cd gguf-py
-        python -m pip install poetry
+        python -m pip install poetry==2.3.2
         poetry install
 
     - name: Build package
       run: cd gguf-py && poetry build
     - name: Publish package
-      uses: pypa/gh-action-pypi-publish@release/v1
+      uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
       with:
         password: ${{ secrets.PYPI_API_TOKEN }}
         packages-dir: gguf-py/dist
diff --git a/.github/workflows/hip-quality-check.yml b/.github/workflows/hip-quality-check.yml
new file mode 100644
index 0000000000000000000000000000000000000000..d00d30ed65ce9670ab592a77e11457e42992eb88
--- /dev/null
+++ b/.github/workflows/hip-quality-check.yml
@@ -0,0 +1,82 @@
+name: HIP quality check
+
+on:
+  workflow_dispatch: # allows manual triggering
+  push:
+    branches:
+      - master
+    paths: [
+      '.github/workflows/hip-quality-check.yml',
+      '**/*.cu',
+      '**/*.cuh',
+      'scripts/hip/gcn-cdna-vgpr-check.py'
+    ]
+
+  pull_request:
+    types: [opened, synchronize, reopened]
+    paths: [
+      '.github/workflows/hip-quality-check.yml',
+      '**/*.cu',
+      '**/*.cuh',
+      'scripts/hip/gcn-cdna-vgpr-check.py'
+    ]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
+  cancel-in-progress: true
+
+env:
+  GGML_NLOOP: 3
+  GGML_N_THREADS: 1
+  LLAMA_LOG_COLORS: 1
+  LLAMA_LOG_PREFIX: 1
+  LLAMA_LOG_TIMESTAMPS: 1
+
+jobs:
+  ubuntu-22-hip-quality-check:
+    runs-on: ubuntu-22.04
+    container: rocm/dev-ubuntu-22.04:7.2.1
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Dependencies
+        id: depends
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev python3
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: ubuntu-22-hip-quality-check
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Build with Werror
+        id: cmake_build
+        run: |
+          cmake -B build -S . \
+            -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
+            -DGPU_TARGETS=gfx942 \
+            -DGGML_HIP=ON \
+            -DGGML_HIP_EXPORT_METRICS=Off \
+            -DCMAKE_HIP_FLAGS="-Werror -Wno-tautological-compare" \
+            -DCMAKE_BUILD_TYPE=Release
+          cd build
+          make -j $(nproc)
+
+      - name: Check for major VGPR spills
+        id: vgpr_check
+        run: |
+          cmake -B build -S . \
+            -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
+            -DGPU_TARGETS=gfx908 \
+            -DGGML_HIP=ON \
+            -DGGML_HIP_EXPORT_METRICS=On \
+            -DCMAKE_HIP_FLAGS="" \
+            -DCMAKE_BUILD_TYPE=Release
+          cd build
+          make -j $(nproc) 2>&1 | tee metrics.log | grep -v 'Rpass-analysis=kernel-resource-usage\|remark:\|^$'
+          python3 ../scripts/hip/gcn-cdna-vgpr-check.py metrics.log
diff --git a/.github/workflows/python-lint.yml b/.github/workflows/python-lint.yml
index e21b3b65684a86fb29e7e138ed8ed961f1dee5b0..1e5d64c1aee6d088476093bc63595fb9f884c569 100644
--- a/.github/workflows/python-lint.yml
+++ b/.github/workflows/python-lint.yml
@@ -31,6 +31,6 @@ jobs:
         with:
           python-version: "3.11"
       - name: flake8 Lint
-        uses: py-actions/flake8@v2
+        uses: py-actions/flake8@84ec6726560b6d5bd68f2a5bed83d62b52bb50ba # v2
         with:
             plugins: "flake8-no-print"
diff --git a/.github/workflows/python-type-check.yml b/.github/workflows/python-type-check.yml
index e801a9f42e675f3048694431195d95b36ce6dbf6..dc7aebe24ca2c03ce12444b4013aa407ea99ff78 100644
--- a/.github/workflows/python-type-check.yml
+++ b/.github/workflows/python-type-check.yml
@@ -4,15 +4,17 @@ on:
   push:
     paths:
       - '.github/workflows/python-type-check.yml'
-      - 'pyrightconfig.json'
+      - 'ty.toml'
       - '**.py'
       - '**/requirements*.txt'
+      # - 'pyrightconfig.json'
   pull_request:
     paths:
       - '.github/workflows/python-type-check.yml'
-      - 'pyrightconfig.json'
+      - 'ty.toml'
       - '**.py'
       - '**/requirements*.txt'
+      # - 'pyrightconfig.json'
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
@@ -20,8 +22,8 @@ concurrency:
 
 jobs:
   python-type-check:
-    runs-on: ubuntu-latest
-    name: pyright type-check
+    runs-on: ubuntu-slim
+    name: python type-check
     steps:
       - name: Check out source repository
         uses: actions/checkout@v6
@@ -29,10 +31,13 @@ jobs:
         uses: actions/setup-python@v6
         with:
           python-version: "3.11"
-          pip-install: -r requirements/requirements-all.txt
-      - name: Type-check with Pyright
-        uses: jakebailey/pyright-action@v2
-        with:
-          version: 1.1.382
-          level: warning
-          warnings: true
+          pip-install: -r requirements/requirements-all.txt ty==0.0.26
+      # - name: Type-check with Pyright
+      #   uses: jakebailey/pyright-action@v2
+      #   with:
+      #     version: 1.1.382
+      #     level: warning
+      #     warnings: true
+      - name: Type-check with ty
+        run: |
+            ty check --output-format=github
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index c3181f17729dab307266aaf564c00f60f4f594a7..f1cc12cd45240bce8cad9378c8b25514ac9ed343 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -36,8 +36,26 @@ env:
   CMAKE_ARGS: "-DLLAMA_BUILD_EXAMPLES=OFF -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_TOOLS=ON -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON"
 
 jobs:
-  macOS-arm64:
-    runs-on: macos-14
+  macOS-cpu:
+    strategy:
+      matrix:
+        include:
+          - build: 'arm64'
+            arch: 'arm64'
+            os: macos-14
+            defines: "-DGGML_METAL_USE_BF16=ON -DGGML_METAL_EMBED_LIBRARY=ON"
+          - build: 'arm64-kleidiai'
+            arch: 'arm64'
+            os: macos-14
+            defines: "-DGGML_METAL_USE_BF16=ON -DGGML_METAL_EMBED_LIBRARY=ON -DGGML_CPU_KLEIDIAI=ON"
+          - build: 'x64'
+            arch: 'x64'
+            os: macos-15-intel
+            # Metal is disabled on x64 due to intermittent failures with Github runners not having a GPU:
+            # https://github.com/ggml-org/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
+            defines: "-DGGML_METAL=OFF -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3"
+
+    runs-on: ${{ matrix.os }}
 
     steps:
       - name: Clone
@@ -49,7 +67,7 @@ jobs:
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: macOS-latest-arm64
+          key: macOS-latest-${{ matrix.arch }}
           evict-old-files: 1d
 
       - name: Build
@@ -57,13 +75,11 @@ jobs:
         run: |
           sysctl -a
           cmake -B build \
+            ${{ matrix.defines }} \
             -DCMAKE_INSTALL_RPATH='@loader_path' \
             -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
             -DLLAMA_FATAL_WARNINGS=ON \
             -DLLAMA_BUILD_BORINGSSL=ON \
-            -DGGML_METAL_USE_BF16=ON \
-            -DGGML_METAL_EMBED_LIBRARY=ON \
-            -DGGML_RPC=ON \
             ${{ env.CMAKE_ARGS }}
           cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
 
@@ -75,16 +91,26 @@ jobs:
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-${{ matrix.build }}.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz
-          name: llama-bin-macos-arm64.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-macos-${{ matrix.build }}.tar.gz
+          name: llama-bin-macos-${{ matrix.build }}.tar.gz
+
+  ubuntu-cpu:
+    strategy:
+      matrix:
+        include:
+          - build: 'x64'
+            os: ubuntu-22.04
+          - build: 'arm64'
+            os: ubuntu-24.04-arm
+          - build: 's390x'
+            os: ubuntu-24.04-s390x
 
-  macOS-x64:
-    runs-on: macos-15-intel
+    runs-on: ${{ matrix.os }}
 
     steps:
       - name: Clone
@@ -94,26 +120,37 @@ jobs:
           fetch-depth: 0
 
       - name: ccache
+        if: ${{ matrix.build != 's390x' }}
         uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: macOS-latest-x64
+          key: ubuntu-cpu-${{ matrix.build }}
           evict-old-files: 1d
 
+      - name: Dependencies
+        id: depends
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential libssl-dev
+
+      - name: Toolchain workaround (GCC 14)
+        if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
+        run: |
+          sudo apt-get install -y gcc-14 g++-14
+          echo "CC=gcc-14" >> "$GITHUB_ENV"
+          echo "CXX=g++-14" >> "$GITHUB_ENV"
+
       - name: Build
         id: cmake_build
         run: |
-          sysctl -a
-          # Metal is disabled due to intermittent failures with Github runners not having a GPU:
-          # https://github.com/ggml-org/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
           cmake -B build \
-            -DCMAKE_INSTALL_RPATH='@loader_path' \
+            -DCMAKE_INSTALL_RPATH='$ORIGIN' \
             -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
+            -DGGML_BACKEND_DL=ON \
+            -DGGML_NATIVE=OFF \
+            -DGGML_CPU_ALL_VARIANTS=ON \
             -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_BUILD_BORINGSSL=ON \
-            -DGGML_METAL=OFF \
-            -DGGML_RPC=ON \
-            -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
-          cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
+            ${{ env.CMAKE_ARGS }}
+          cmake --build build --config Release -j $(nproc)
 
       - name: Determine tag name
         id: tag
@@ -123,25 +160,22 @@ jobs:
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz
-          name: llama-bin-macos-x64.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz
+          name: llama-bin-ubuntu-${{ matrix.build }}.tar.gz
 
-  ubuntu-22-cpu:
+  ubuntu-vulkan:
     strategy:
       matrix:
         include:
           - build: 'x64'
             os: ubuntu-22.04
-          - build: 's390x'
-            os: ubuntu-24.04-s390x
-          # GGML_BACKEND_DL and GGML_CPU_ALL_VARIANTS are not currently supported on arm
-          # - build: 'arm64'
-          #   os: ubuntu-22.04-arm
+          - build: 'arm64'
+            os: ubuntu-24.04-arm
 
     runs-on: ${{ matrix.os }}
 
@@ -153,17 +187,25 @@ jobs:
           fetch-depth: 0
 
       - name: ccache
-        if: ${{ matrix.build != 's390x' }}
         uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: ubuntu-cpu-${{ matrix.build }}
+          key: ubuntu-vulkan-${{ matrix.build }}
           evict-old-files: 1d
 
       - name: Dependencies
         id: depends
         run: |
-          sudo apt-get update
-          sudo apt-get install build-essential libssl-dev
+          if [[ "${{ matrix.os }}" =~ "ubuntu-22.04" ]]; then
+            wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo apt-key add -
+            sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
+            sudo apt-get update -y
+            sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
+          else
+            sudo apt-get update -y
+            sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
+            echo "CC=gcc-14" >> "$GITHUB_ENV"
+            echo "CXX=g++-14" >> "$GITHUB_ENV"
+          fi
 
       - name: Build
         id: cmake_build
@@ -174,7 +216,7 @@ jobs:
             -DGGML_BACKEND_DL=ON \
             -DGGML_NATIVE=OFF \
             -DGGML_CPU_ALL_VARIANTS=ON \
-            -DLLAMA_FATAL_WARNINGS=ON \
+            -DGGML_VULKAN=ON \
             ${{ env.CMAKE_ARGS }}
           cmake --build build --config Release -j $(nproc)
 
@@ -186,16 +228,19 @@ jobs:
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz
-          name: llama-bin-ubuntu-${{ matrix.build }}.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
+          name: llama-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
 
-  ubuntu-22-vulkan:
-    runs-on: ubuntu-22.04
+  android-arm64:
+    runs-on: ubuntu-latest
+
+    env:
+      NDK_VERSION: "29.0.14206865"
 
     steps:
       - name: Clone
@@ -207,27 +252,40 @@ jobs:
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: ubuntu-22-vulkan
+          key: android-arm64
           evict-old-files: 1d
 
-      - name: Dependencies
-        id: depends
+      - name: Set up JDK
+        uses: actions/setup-java@v5
+        with:
+          java-version: 17
+          distribution: temurin
+
+      - name: Setup Android SDK
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
+        with:
+          log-accepted-android-sdk-licenses: false
+
+      - name: Install NDK
         run: |
-          wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo apt-key add -
-          sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
-          sudo apt-get update -y
-          sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
+          sdkmanager "ndk;${{ env.NDK_VERSION }}"
+          echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
 
       - name: Build
         id: cmake_build
         run: |
           cmake -B build \
+            -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
+            -DANDROID_ABI=arm64-v8a \
+            -DANDROID_PLATFORM=android-28 \
             -DCMAKE_INSTALL_RPATH='$ORIGIN' \
             -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
             -DGGML_BACKEND_DL=ON \
             -DGGML_NATIVE=OFF \
             -DGGML_CPU_ALL_VARIANTS=ON \
-            -DGGML_VULKAN=ON \
+            -DLLAMA_FATAL_WARNINGS=ON \
+            -DGGML_OPENMP=OFF \
+            -DLLAMA_BUILD_BORINGSSL=ON \
             ${{ env.CMAKE_ARGS }}
           cmake --build build --config Release -j $(nproc)
 
@@ -239,13 +297,13 @@ jobs:
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz
-          name: llama-bin-ubuntu-vulkan-x64.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz
+          name: llama-bin-android-arm64.tar.gz
 
   ubuntu-24-openvino:
     runs-on: ubuntu-24.04
@@ -618,8 +676,8 @@ jobs:
     strategy:
       matrix:
         include:
-          - ROCM_VERSION: "7.2"
-            gpu_targets: "gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1151;gfx1150;gfx1200;gfx1201"
+          - ROCM_VERSION: "7.2.1"
+            gpu_targets: "gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1151;gfx1150;gfx1200;gfx1201"
             build: 'x64'
 
     steps:
@@ -629,6 +687,11 @@ jobs:
         with:
           fetch-depth: 0
 
+      - name: Free up disk space
+        uses: ggml-org/free-disk-space@v1.3.1
+        with:
+          tool-cache: true
+
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
@@ -641,7 +704,7 @@ jobs:
           sudo apt install -y build-essential git cmake wget
 
       - name: Setup Legacy ROCm
-        if: matrix.ROCM_VERSION == '7.2'
+        if: matrix.ROCM_VERSION == '7.2.1'
         id: legacy_env
         run: |
           sudo mkdir --parents --mode=0755 /etc/apt/keyrings
@@ -662,7 +725,7 @@ jobs:
           sudo apt-get install -y libssl-dev rocm-hip-sdk
 
       - name: Setup TheRock
-        if: matrix.ROCM_VERSION != '7.2'
+        if: matrix.ROCM_VERSION != '7.2.1'
         id: therock_env
         run: |
           wget https://repo.amd.com/rocm/tarball/therock-dist-linux-gfx1151-${{ matrix.ROCM_VERSION }}.tar.gz
@@ -678,7 +741,6 @@ jobs:
         run: |
           cmake -B build -S . \
             -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-            -DCMAKE_HIP_FLAGS="-mllvm --amdgpu-unroll-threshold-local=600" \
             -DCMAKE_BUILD_TYPE=Release \
             -DGGML_BACKEND_DL=ON \
             -DGGML_NATIVE=OFF \
@@ -696,17 +758,20 @@ jobs:
         id: tag
         uses: ./.github/actions/get-tag-name
 
+      - name: Get ROCm short version
+        run: echo "ROCM_VERSION_SHORT=$(echo '${{ matrix.ROCM_VERSION }}' | cut -d '.' -f 1,2)" >> $GITHUB_ENV
+
       - name: Pack artifacts
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ env.ROCM_VERSION_SHORT }}-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz
-          name: llama-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ env.ROCM_VERSION_SHORT }}-${{ matrix.build }}.tar.gz
+          name: llama-bin-ubuntu-rocm-${{ env.ROCM_VERSION_SHORT }}-${{ matrix.build }}.tar.gz
 
   windows-hip:
     runs-on: windows-2022
@@ -728,7 +793,7 @@ jobs:
       - name: Grab rocWMMA package
         id: grab_rocwmma
         run: |
-          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70200-43~24.04_amd64.deb"
+          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2.1/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70201-81~24.04_amd64.deb"
           7z x rocwmma.deb
           7z x data.tar
 
@@ -785,7 +850,7 @@ jobs:
           cmake -G "Unix Makefiles" -B build -S . `
             -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
             -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.0/include/ -Wno-ignored-attributes -Wno-nested-anon-types" `
+            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.1/include/ -Wno-ignored-attributes -Wno-nested-anon-types" `
             -DCMAKE_BUILD_TYPE=Release `
             -DGGML_BACKEND_DL=ON `
             -DGGML_NATIVE=OFF `
@@ -907,7 +972,7 @@ jobs:
       - name: Set container image
         id: cann-image
         run: |
-          image="ascendai/cann:${{ matrix.chip_type == '910b' &&  '8.3.rc2-910b-openeuler24.03-py3.11' || '8.3.rc2-310p-openeuler24.03-py3.11' }}"
+          image="ascendai/cann:${{ matrix.chip_type == '910b' &&  '8.5.0-910b-openeuler24.03-py3.11' || '8.5.0-310p-openeuler24.03-py3.11' }}"
           echo "image=${image}" >> "${GITHUB_OUTPUT}"
 
       - name: Pull container image
@@ -977,11 +1042,11 @@ jobs:
       - windows-sycl
       - windows-hip
       - ubuntu-22-rocm
-      - ubuntu-22-cpu
-      - ubuntu-22-vulkan
+      - ubuntu-cpu
+      - ubuntu-vulkan
       - ubuntu-24-openvino
-      - macOS-arm64
-      - macOS-x64
+      - android-arm64
+      - macOS-cpu
       - ios-xcode-build
       - openEuler-cann
 
@@ -1056,16 +1121,22 @@ jobs:
 
             **macOS/iOS:**
             - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz)
+            - [macOS Apple Silicon (arm64, KleidiAI enabled)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64-kleidiai.tar.gz)
             - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz)
             - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-xcframework.zip)
 
             **Linux:**
             - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-x64.tar.gz)
+            - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-arm64.tar.gz)
+            - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
             - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
+            - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-arm64.tar.gz)
             - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
-            - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
             - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ needs.ubuntu-24-openvino.outputs.openvino_version }}-x64.tar.gz)
 
+            **Android:**
+            - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz)
+
             **Windows:**
             - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip)
             - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-arm64.zip)
diff --git a/.github/workflows/server-self-hosted.yml b/.github/workflows/server-self-hosted.yml
index 29bd79690ad4d8a879a0ec7d3fcecc23b3cac84e..4b9f4b631a2a835240310ae45fb3c1d6130c3069 100644
--- a/.github/workflows/server-self-hosted.yml
+++ b/.github/workflows/server-self-hosted.yml
@@ -84,41 +84,42 @@ jobs:
           export ${{ matrix.extra_args }}
           pytest -v -x -m "not slow"
 
-  server-cuda:
-    runs-on: [self-hosted, llama-server, Linux, NVIDIA]
-
-    name: server-cuda (${{ matrix.wf_name }})
-    strategy:
-      matrix:
-        build_type: [Release]
-        wf_name: ["GPUx1"]
-        include:
-          - build_type: Release
-            extra_args: "LLAMA_ARG_BACKEND_SAMPLING=1"
-            wf_name:    "GPUx1, backend-sampling"
-      fail-fast: false
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-          ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build -DGGML_SCHED_NO_REALLOC=ON
-          cmake --build build --config ${{ matrix.build_type }} -j $(sysctl -n hw.logicalcpu) --target llama-server
-
-      - name: Tests
-        id: server_integration_tests
-        if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }}
-        run: |
-          cd tools/server/tests
-          python3 -m venv venv
-          source venv/bin/activate
-          pip install -r requirements.txt
-          export ${{ matrix.extra_args }}
-          pytest -v -x -m "not slow"
+  # TODO: provision CUDA runner
+  #  server-cuda:
+  #    runs-on: [self-hosted, llama-server, Linux, NVIDIA]
+  #
+  #    name: server-cuda (${{ matrix.wf_name }})
+  #    strategy:
+  #      matrix:
+  #        build_type: [Release]
+  #        wf_name: ["GPUx1"]
+  #        include:
+  #          - build_type: Release
+  #            extra_args: "LLAMA_ARG_BACKEND_SAMPLING=1"
+  #            wf_name:    "GPUx1, backend-sampling"
+  #      fail-fast: false
+  #
+  #    steps:
+  #      - name: Clone
+  #        id: checkout
+  #        uses: actions/checkout@v6
+  #        with:
+  #          fetch-depth: 0
+  #          ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
+  #
+  #      - name: Build
+  #        id: cmake_build
+  #        run: |
+  #          cmake -B build -DGGML_SCHED_NO_REALLOC=ON
+  #          cmake --build build --config ${{ matrix.build_type }} -j $(sysctl -n hw.logicalcpu) --target llama-server
+  #
+  #      - name: Tests
+  #        id: server_integration_tests
+  #        if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }}
+  #        run: |
+  #          cd tools/server/tests
+  #          python3 -m venv venv
+  #          source venv/bin/activate
+  #          pip install -r requirements.txt
+  #          export ${{ matrix.extra_args }}
+  #          pytest -v -x -m "not slow"
diff --git a/.gitignore b/.gitignore
index 73954e8f5dc392f82dbadcbef387a3906b0c9b37..f021e66c8f7350a4e71529cbb0d8052322095efa 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,7 @@
 # Extensions
-
+build/
+build_64/
+models/
 *.a
 *.bat
 *.bin
@@ -95,6 +97,8 @@
 # Server Web UI temporary files
 /tools/server/webui/node_modules
 /tools/server/webui/dist
+# we no longer use gz for index.html
+/tools/server/public/index.html.gz
 
 # Python
 
diff --git a/AGENTS.md b/AGENTS.md
index 117bed7f4879fb415db0d43e2c4474398f712272..88a70f25510b0e60f46a454ac55b5bf0c7ba6357 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -1,81 +1,3 @@
-# Instructions for llama.cpp
-
-> [!IMPORTANT]
-> This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity.
->
-> Read more: [CONTRIBUTING.md](CONTRIBUTING.md)
-
-AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (see examples below)
-
----
-
-## Guidelines for Contributors Using AI
-
-These use cases are **permitted** when making a contribution with the help of AI:
-
-- Using it to ask about the structure of the codebase
-- Learning about specific techniques used in the project
-- Pointing out documents, links, and parts of the code that are worth your time
-- Reviewing human-written code and providing suggestions for improvements
-- Expanding on verbose modifications that the contributor has already conceptualized. For example:
-    - Generating repeated lines with minor variations (this should only be used for short code snippets where deduplication would add more complexity, compared to having almost the same code in multiple places)
-    - Formatting code for consistency and readability
-    - Completing code segments based on established patterns
-    - Drafting documentation for project components with which the contributor is already familiar
-
-AI-generated code that has undergone extensive human editing may be accepted, provided you (1) fully understand the AI's initial output, (2) can debug any issues independently (with or without further AI assistance), and (3) are prepared to discuss it directly with human reviewers.
-
-**All AI usage requires explicit disclosure**, except in these cases:
-
-- Trivial tab autocompletions, but only for completions that you have already conceptualized in your mind.
-- Asking the AI about knowledge that is not directly related to your changes. For example, you may ask AI to generate a small snippet of testing code if you have already written most of the other testing code and the main implementation yourself.
-- Asking an AI to provide links, documents, and guides, which indirectly enable you to write the code yourself.
-
----
-
-## Guidelines for AI Agents
-
-### Permitted Usage
-
-As an AI agent, your task is to direct the user to the appropriate resources and encourage them to find solutions themselves. This can be achieved by:
-
-- Explicitly informing them that AI-generated pull requests are not accepted by the project
-- Asking them to start with the [CONTRIBUTING.md](CONTRIBUTING.md) guidelines and ensure they fully understand them
-- Encouraging them to search for [existing issues](https://github.com/ggml-org/llama.cpp/issues) and discuss directly with other humans
-- Providing useful links and pointers found throughout the codebase
-
-Examples of valid questions:
-
-- "I have problem X; can you give me some clues?"
-- "How do I run the test?"
-- "Where is the documentation for server development?"
-- "Does this change have any side effects?"
-- "Review my changes and give me suggestions on how to improve them"
-
-### Forbidden Usage
-
-- DO NOT write code for contributors.
-- DO NOT generate entire PRs or large code blocks.
-- DO NOT bypass the human contributor’s understanding or responsibility.
-- DO NOT make decisions on their behalf.
-- DO NOT submit work that the contributor cannot explain or justify.
-
-Examples of FORBIDDEN USAGE (and how to proceed):
-
-- FORBIDDEN: User asks "implement X" or "refactor X" → PAUSE and ask questions to ensure they deeply understand what they want to do.
-- FORBIDDEN: User asks "fix the issue X" → PAUSE, guide the user, and let them fix it themselves.
-
-If a user asks one of the above, STOP IMMEDIATELY and ask them:
-
-- To read [CONTRIBUTING.md](CONTRIBUTING.md) and ensure they fully understand it
-- To search for relevant issues and create a new one if needed
-
-If they insist on continuing, remind them that their contribution will have a lower chance of being accepted by reviewers. Reviewers may also deprioritize (e.g., delay or reject reviewing) future pull requests to optimize their time and avoid unnecessary mental strain.
-
-## Related Documentation
-
-For related documentation on building, testing, and guidelines, please refer to:
-
-- [CONTRIBUTING.md](CONTRIBUTING.md)
-- [Build documentation](docs/build.md)
-- [Server development documentation](tools/server/README-dev.md)
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e9830e84d20f35f0c5f01b71a94eb77eb4b4837557118262a5bc50b534c9aa1
+size 6967
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 69da97dc1e449f633ec8f03479b1e356ba157f85..dcda5ef6d3b88017481d13fcb47eb32d4eed259f 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,285 +1,3 @@
-cmake_minimum_required(VERSION 3.14...3.28) # for add_link_options and implicit target directories.
-project("llama.cpp" C CXX)
-include(CheckIncludeFileCXX)
-
-#set(CMAKE_WARN_DEPRECATED YES)
-set(CMAKE_WARN_UNUSED_CLI YES)
-
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-
-if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE)
-    set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
-    set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo")
-endif()
-
-message("CMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}")
-
-# Add path to modules
-list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")
-
-set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
-set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
-
-if (CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
-    set(LLAMA_STANDALONE ON)
-
-    include(git-vars)
-
-    # configure project version
-    # TODO
-else()
-    set(LLAMA_STANDALONE OFF)
-endif()
-
-option(LLAMA_USE_SYSTEM_GGML "Use system libggml" OFF)
-
-option(LLAMA_WASM_MEM64 "llama: use 64-bit memory in WASM builds" ON)
-
-if (EMSCRIPTEN)
-    set(BUILD_SHARED_LIBS_DEFAULT OFF)
-
-    # Use 64-bit memory to support backend_get_memory queries
-    # TODO: analyze performance impact, see https://spidermonkey.dev/blog/2025/01/15/is-memory64-actually-worth-using
-    if (LLAMA_WASM_MEM64)
-      add_compile_options("-sMEMORY64=1")
-      add_link_options("-sMEMORY64=1")
-    endif()
-    add_link_options("-sALLOW_MEMORY_GROWTH=1")
-
-    option(LLAMA_WASM_SINGLE_FILE "llama: embed WASM inside the generated llama.js" OFF)
-    option(LLAMA_BUILD_HTML "llama: build HTML file" ON)
-    if (LLAMA_BUILD_HTML)
-        set(CMAKE_EXECUTABLE_SUFFIX ".html")
-    endif()
-else()
-    if (MINGW)
-        set(BUILD_SHARED_LIBS_DEFAULT OFF)
-    else()
-        set(BUILD_SHARED_LIBS_DEFAULT ON)
-    endif()
-endif()
-
-option(BUILD_SHARED_LIBS "build shared libraries" ${BUILD_SHARED_LIBS_DEFAULT})
-
-if (WIN32)
-    add_compile_definitions(_CRT_SECURE_NO_WARNINGS)
-endif()
-
-if (MSVC)
-    add_compile_options("$<$<COMPILE_LANGUAGE:C>:/utf-8>")
-    add_compile_options("$<$<COMPILE_LANGUAGE:CXX>:/utf-8>")
-    add_compile_options("$<$<COMPILE_LANGUAGE:C>:/bigobj>")
-    add_compile_options("$<$<COMPILE_LANGUAGE:CXX>:/bigobj>")
-endif()
-
-if (LLAMA_STANDALONE)
-    # enable parallel builds for msbuild
-    list(APPEND CMAKE_VS_GLOBALS UseMultiToolTask=true)
-    list(APPEND CMAKE_VS_GLOBALS EnforceProcessCountAcrossBuilds=true)
-endif()
-
-if (CMAKE_SYSTEM_NAME STREQUAL "iOS")
-    set(LLAMA_TOOLS_INSTALL_DEFAULT OFF)
-else()
-    set(LLAMA_TOOLS_INSTALL_DEFAULT ${LLAMA_STANDALONE})
-endif()
-
-#
-# option list
-#
-
-# debug
-option(LLAMA_ALL_WARNINGS           "llama: enable all compiler warnings"                   ON)
-option(LLAMA_ALL_WARNINGS_3RD_PARTY "llama: enable all compiler warnings in 3rd party libs" OFF)
-
-# build
-option(LLAMA_FATAL_WARNINGS "llama: enable -Werror flag" OFF)
-
-# sanitizers
-option(LLAMA_SANITIZE_THREAD    "llama: enable thread sanitizer"    OFF)
-option(LLAMA_SANITIZE_ADDRESS   "llama: enable address sanitizer"   OFF)
-option(LLAMA_SANITIZE_UNDEFINED "llama: enable undefined sanitizer" OFF)
-
-# utils
-option(LLAMA_BUILD_COMMON "llama: build common utils library" ${LLAMA_STANDALONE})
-
-# extra artifacts
-option(LLAMA_BUILD_TESTS    "llama: build tests"          ${LLAMA_STANDALONE})
-option(LLAMA_BUILD_TOOLS    "llama: build tools"          ${LLAMA_STANDALONE})
-option(LLAMA_BUILD_EXAMPLES "llama: build examples"       ${LLAMA_STANDALONE})
-option(LLAMA_BUILD_SERVER   "llama: build server example" ${LLAMA_STANDALONE})
-option(LLAMA_TOOLS_INSTALL  "llama: install tools"        ${LLAMA_TOOLS_INSTALL_DEFAULT})
-option(LLAMA_TESTS_INSTALL  "llama: install tests"        ON)
-
-# 3rd party libs
-option(LLAMA_OPENSSL    "llama: use openssl to support HTTPS" ON)
-option(LLAMA_LLGUIDANCE "llama-common: include LLGuidance library for structured output in common utils" OFF)
-
-
-# Required for relocatable CMake package
-include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/build-info.cmake)
-include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/common.cmake)
-
-if (NOT DEFINED LLAMA_BUILD_NUMBER)
-    set(LLAMA_BUILD_NUMBER        ${BUILD_NUMBER})
-endif()
-if (NOT DEFINED LLAMA_BUILD_COMMIT)
-    set(LLAMA_BUILD_COMMIT        ${BUILD_COMMIT})
-endif()
-set(LLAMA_INSTALL_VERSION 0.0.${LLAMA_BUILD_NUMBER})
-
-# override ggml options
-set(GGML_ALL_WARNINGS   ${LLAMA_ALL_WARNINGS})
-set(GGML_FATAL_WARNINGS ${LLAMA_FATAL_WARNINGS})
-
-# change the default for these ggml options
-if (NOT DEFINED GGML_LLAMAFILE)
-    set(GGML_LLAMAFILE_DEFAULT ON)
-endif()
-
-if (NOT DEFINED GGML_CUDA_GRAPHS)
-    set(GGML_CUDA_GRAPHS_DEFAULT ON)
-endif()
-
-# transition helpers
-function (llama_option_depr TYPE OLD)
-    if (${OLD})
-        set(NEW "${ARGV2}")
-        if(NEW)
-            message(${TYPE} "${OLD} is deprecated, use ${NEW} instead")
-            set(${NEW} ON PARENT_SCOPE)
-        else()
-            message(${TYPE} "${OLD} is deprecated and will be ignored")
-        endif()
-    endif()
-endfunction()
-
-llama_option_depr(FATAL_ERROR LLAMA_CUBLAS              GGML_CUDA)
-llama_option_depr(WARNING     LLAMA_CUDA                GGML_CUDA)
-llama_option_depr(WARNING     LLAMA_METAL               GGML_METAL)
-llama_option_depr(WARNING     LLAMA_METAL_EMBED_LIBRARY GGML_METAL_EMBED_LIBRARY)
-llama_option_depr(WARNING     LLAMA_NATIVE              GGML_NATIVE)
-llama_option_depr(WARNING     LLAMA_RPC                 GGML_RPC)
-llama_option_depr(WARNING     LLAMA_SYCL                GGML_SYCL)
-llama_option_depr(WARNING     LLAMA_SYCL_F16            GGML_SYCL_F16)
-llama_option_depr(WARNING     LLAMA_CANN                GGML_CANN)
-llama_option_depr(WARNING     LLAMA_CURL)
-
-include("cmake/license.cmake")
-license_add_file("llama.cpp" "LICENSE")
-
-#
-# 3rd-party
-#
-
-if (LLAMA_USE_SYSTEM_GGML)
-    message(STATUS "Using system-provided libggml, skipping ggml build")
-    find_package(ggml REQUIRED)
-    add_library(ggml ALIAS ggml::ggml)
-endif()
-
-if (NOT TARGET ggml AND NOT LLAMA_USE_SYSTEM_GGML)
-    set(GGML_BUILD_NUMBER ${LLAMA_BUILD_NUMBER})
-    set(GGML_BUILD_COMMIT ${LLAMA_BUILD_COMMIT})
-    add_subdirectory(ggml)
-    # ... otherwise assume ggml is added by a parent CMakeLists.txt
-endif()
-
-#
-# build the library
-#
-
-add_subdirectory(src)
-
-#
-# utils, programs, examples and tests
-#
-
-if (LLAMA_BUILD_COMMON)
-    add_subdirectory(common)
-    add_subdirectory(vendor/cpp-httplib)
-endif()
-
-if (LLAMA_BUILD_COMMON AND LLAMA_BUILD_TESTS AND NOT CMAKE_JS_VERSION)
-    include(CTest)
-    add_subdirectory(tests)
-endif()
-
-if (LLAMA_BUILD_COMMON AND LLAMA_BUILD_EXAMPLES)
-    add_subdirectory(examples)
-    add_subdirectory(pocs)
-endif()
-
-if (LLAMA_BUILD_COMMON AND LLAMA_BUILD_TOOLS)
-    add_subdirectory(tools)
-endif()
-
-# Automatically add all files from the 'licenses' directory
-file(GLOB EXTRA_LICENSES "${CMAKE_SOURCE_DIR}/licenses/LICENSE-*")
-
-foreach(FILE_PATH ${EXTRA_LICENSES})
-    get_filename_component(FILE_NAME "${FILE_PATH}" NAME)
-    string(REGEX REPLACE "^LICENSE-" "" NAME "${FILE_NAME}")
-    license_add_file("${NAME}" "${FILE_PATH}")
-endforeach()
-
-if (LLAMA_BUILD_COMMON)
-    license_generate(common)
-endif()
-
-#
-# install
-#
-
-include(GNUInstallDirs)
-include(CMakePackageConfigHelpers)
-
-set(LLAMA_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header  files")
-set(LLAMA_LIB_INSTALL_DIR     ${CMAKE_INSTALL_LIBDIR}     CACHE PATH "Location of library files")
-set(LLAMA_BIN_INSTALL_DIR     ${CMAKE_INSTALL_BINDIR}     CACHE PATH "Location of binary  files")
-
-set(LLAMA_PUBLIC_HEADERS
-    ${CMAKE_CURRENT_SOURCE_DIR}/include/llama.h
-    ${CMAKE_CURRENT_SOURCE_DIR}/include/llama-cpp.h)
-
-set_target_properties(llama
-    PROPERTIES
-        PUBLIC_HEADER "${LLAMA_PUBLIC_HEADERS}")
-
-install(TARGETS llama LIBRARY PUBLIC_HEADER)
-
-configure_package_config_file(
-        ${CMAKE_CURRENT_SOURCE_DIR}/cmake/llama-config.cmake.in
-        ${CMAKE_CURRENT_BINARY_DIR}/llama-config.cmake
-    INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/llama
-    PATH_VARS LLAMA_INCLUDE_INSTALL_DIR
-              LLAMA_LIB_INSTALL_DIR
-              LLAMA_BIN_INSTALL_DIR )
-
-write_basic_package_version_file(
-        ${CMAKE_CURRENT_BINARY_DIR}/llama-version.cmake
-    VERSION ${LLAMA_INSTALL_VERSION}
-    COMPATIBILITY SameMajorVersion)
-
-install(FILES ${CMAKE_CURRENT_BINARY_DIR}/llama-config.cmake
-              ${CMAKE_CURRENT_BINARY_DIR}/llama-version.cmake
-        DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/llama)
-
-install(
-    FILES convert_hf_to_gguf.py
-    PERMISSIONS
-        OWNER_READ
-        OWNER_WRITE
-        OWNER_EXECUTE
-        GROUP_READ
-        GROUP_EXECUTE
-        WORLD_READ
-        WORLD_EXECUTE
-    DESTINATION ${CMAKE_INSTALL_BINDIR})
-
-configure_file(cmake/llama.pc.in
-        "${CMAKE_CURRENT_BINARY_DIR}/llama.pc"
-        @ONLY)
-
-install(FILES "${CMAKE_CURRENT_BINARY_DIR}/llama.pc"
-        DESTINATION ${CMAKE_INSTALL_LIBDIR}/pkgconfig)
+version https://git-lfs.github.com/spec/v1
+oid sha256:b95c7f2913f9922bd66c710bef5ac38c6ab9ae691b931081f16af66bb95876a2
+size 9319
diff --git a/CODEOWNERS b/CODEOWNERS
index 4257f5927a63f0dbb6b18658f8c82bc640caf227..612fcdda1c0731976aa7fe84aa0de667b9a5ffe0 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1,5 +1,21 @@
 # collaborators can optionally add themselves here to indicate their availability for reviewing related PRs
-# multiplie collaborators per item can be specified
+# multiple collaborators per item can be specified
+#
+# ggml-org/ci               : CISC, danbev, ggerganov, netrunnereve, ngxson, taronaeo
+# ggml-org/ggml-cann        : hipudding
+# ggml-org/ggml-cuda        : JohannesGaessler, am17an, IMbackK, ORippler
+# ggml-org/ggml-hexagon     : lhez, max-krasnyansky
+# ggml-org/ggml-metal       : ggerganov
+# ggml-org/ggml-opencl      : lhez, max-krasnyansky
+# ggml-org/ggml-rpc         : rgerganov
+# ggml-org/ggml-sycl        : arthw
+# ggml-org/ggml-vulkan      : 0cc4m, jeffbolznv
+# ggml-org/ggml-webgpu      : reeselevine
+# ggml-org/ggml-zdnn        : taronaeo
+# ggml-org/llama-common     : ggerganov, aldehir, angt, danbev, ngxson, pwilkin
+# ggml-org/llama-mtmd       : ngxson
+# ggml-org/llama-server     : ggerganov, ngxson, allozaur, angt, ServeurpersoCom
+# ggml-org/llama-webui      : allozaur
 
 /.devops/*.Dockerfile                   @ngxson
 /.github/actions/                       @ggml-org/ci
@@ -7,9 +23,11 @@
 /ci/                                    @ggerganov
 /cmake/                                 @ggerganov
 /common/                                @ggml-org/llama-common
+/common/fit.*                           @JohannesGaessler
 /common/jinja/                          @CISC
 /common/ngram-map.*                     @srogmann
 /convert_*.py                           @CISC
+/docs/backend/snapdragon/               @ggml-org/ggml-hexagon
 /examples/batched.swift/                @ggerganov
 /examples/batched/                      @ggerganov
 /examples/convert-llama2c-to-ggml/      @ggerganov
@@ -65,6 +83,7 @@
 /scripts/gen*                           @ggerganov
 /scripts/get*                           @ggerganov
 /scripts/sync*                          @ggerganov
+/scripts/snapdragon/                    @ggml-org/ggml-hexagon
 /src/                                   @ggerganov
 /src/llama-adapter.*                    @CISC
 /src/llama-arch.*                       @CISC
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index fc26289aecfea9b350bd33d20e9911f17c479263..32eed184c783c50c859bf2fccee2fc1f9a49012e 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,191 +1,3 @@
-# Contributors
-
-The project differentiates between 3 levels of contributors:
-
-- Contributors: people who have contributed before (no special privileges)
-- Collaborators (Triage): people with significant contributions, who may be responsible for some parts of the code, and are expected to maintain and review contributions for the code they own
-- Maintainers: responsible for reviewing and merging PRs, after approval from the code owners
-
-# AI Usage Policy
-
-> [!IMPORTANT]
-> This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity.
->
-> Detailed information regarding permissible and restricted uses of AI can be found in the [AGENTS.md](AGENTS.md) file.
-
-Code that is initially generated by AI and subsequently edited will still be considered AI-generated. AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (e.g., generating repeated lines with minor variations).
-
-If AI is used to generate any portion of the code, contributors must adhere to the following requirements:
-
-1. Explicitly disclose the manner in which AI was employed.
-2. Perform a comprehensive manual review prior to submitting the pull request.
-3. Be prepared to explain every line of code they submitted when asked about it by a maintainer.
-4. It is strictly prohibited to use AI to write your posts for you (bug reports, feature requests, pull request descriptions, Github discussions, responding to humans, ...).
-
-For more info, please refer to the [AGENTS.md](AGENTS.md) file.
-
-# Pull requests (for contributors & collaborators)
-
-Before submitting your PR:
-- Search for existing PRs to prevent duplicating efforts
-- llama.cpp uses the ggml tensor library for model evaluation. If you are unfamiliar with ggml, consider taking a look at the [examples in the ggml repository](https://github.com/ggml-org/ggml/tree/master/examples/). [simple](https://github.com/ggml-org/ggml/tree/master/examples/simple) shows the bare minimum for using ggml. [gpt-2](https://github.com/ggml-org/ggml/tree/master/examples/gpt-2) has minimal implementations for language model inference using GPT-2. [mnist](https://github.com/ggml-org/ggml/tree/master/examples/mnist) demonstrates how to train and evaluate a simple image classifier
-- Test your changes:
-  - Execute [the full CI locally on your machine](ci/README.md) before publishing
-  - Verify that the perplexity and the performance are not affected negatively by your changes (use `llama-perplexity` and `llama-bench`)
-  - If you modified the `ggml` source, run the `test-backend-ops` tool to check whether different backend implementations of the `ggml` operators produce consistent results (this requires access to at least two different `ggml` backends)
-  - If you modified a `ggml` operator or added a new one, add the corresponding test cases to `test-backend-ops`
-- Create separate PRs for each feature or fix:
-  - Avoid combining unrelated changes in a single PR
-  - For intricate features, consider opening a feature request first to discuss and align expectations
-  - When adding support for a new model or feature, focus on **CPU support only** in the initial PR unless you have a good reason not to. Add support for other backends like CUDA in follow-up PRs
-  - In particular, adding new data types (extension of the `ggml_type` enum) carries with it a disproportionate maintenance burden. As such, to add a new quantization type you will need to meet the following *additional* criteria *at minimum*:
-    - convert a small model to GGUF using the new type and upload it to HuggingFace
-    - provide [perplexity](https://github.com/ggml-org/llama.cpp/tree/master/tools/perplexity) comparisons to FP16/BF16 (whichever is the native precision) as well as to types of similar size
-    - provide KL divergence data calculated vs. the FP16/BF16 (whichever is the native precision) version for both the new type as well as types of similar size
-    - provide [performance data](https://github.com/ggml-org/llama.cpp/tree/master/tools/llama-bench) for the new type in comparison to types of similar size on pure CPU
-- Consider allowing write access to your branch for faster reviews, as reviewers can push commits directly
-- If you are a new contributor, limit your open PRs to 1.
-
-After submitting your PR:
-- Expect requests for modifications to ensure the code meets llama.cpp's standards for quality and long-term maintainability
-- Maintainers will rely on your insights and approval when making a final decision to approve and merge a PR
-- If your PR becomes stale, rebase it on top of latest `master` to get maintainers attention
-- Consider adding yourself to [CODEOWNERS](CODEOWNERS) to indicate your availability for fixing related issues and reviewing related PRs
-
-# Pull requests (for maintainers)
-
-- Squash-merge PRs
-- Use the following format for the squashed commit title: `<module> : <commit title> (#<issue_number>)`. For example: `utils : fix typo in utils.py (#1234)`
-- Optionally pick a `<module>` from here: https://github.com/ggml-org/llama.cpp/wiki/Modules
-- Let other maintainers merge their own PRs
-- When merging a PR, make sure you have a good understanding of the changes
-- Be mindful of maintenance: most of the work going into a feature happens after the PR is merged. If the PR author is not committed to contribute long-term, someone else needs to take responsibility (you)
-
-Maintainers reserve the right to decline review or close pull requests for any reason, particularly under any of the following conditions:
-- The proposed change is already mentioned in the roadmap or an existing issue, and it has been assigned to someone.
-- The pull request duplicates an existing one.
-- The contributor fails to adhere to this contributing guide.
-
-# Coding guidelines
-
-- Avoid adding third-party dependencies, extra files, extra headers, etc.
-- Always consider cross-compatibility with other operating systems and architectures
-- Avoid fancy-looking modern STL constructs, use basic `for` loops, avoid templates, keep it simple
-- Vertical alignment makes things more readable and easier to batch edit
-- Clean-up any trailing whitespaces, use 4 spaces for indentation, brackets on the same line, `void * ptr`, `int & a`
-- Use sized integer types such as `int32_t` in the public API, e.g. `size_t` may also be appropriate for allocation sizes or byte offsets
-- Declare structs with `struct foo {}` instead of `typedef struct foo {} foo`
-    - In C++ code omit optional `struct` and `enum` keyword whenever they are not necessary
-    ```cpp
-    // OK
-    llama_context * ctx;
-    const llama_rope_type rope_type;
-
-    // not OK
-    struct llama_context * ctx;
-    const enum llama_rope_type rope_type;
-    ```
-
-    _(NOTE: this guideline is yet to be applied to the `llama.cpp` codebase. New code should follow this guideline.)_
-
-- Try to follow the existing patterns in the code (indentation, spaces, etc.). In case of doubt use `clang-format` (from clang-tools v15+) to format the added code
-- For anything not covered in the current guidelines, refer to the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines)
-- Tensors store data in row-major order. We refer to dimension 0 as columns, 1 as rows, 2 as matrices
-- Matrix multiplication is unconventional: [`C = ggml_mul_mat(ctx, A, B)`](https://github.com/ggml-org/llama.cpp/blob/880e352277fc017df4d5794f0c21c44e1eae2b84/ggml.h#L1058-L1064) means $C^T = A B^T \Leftrightarrow C = B A^T.$
-
-![matmul](media/matmul.png)
-
-# Naming guidelines
-
-- Use `snake_case` for function, variable and type names
-- Naming usually optimizes for longest common prefix (see https://github.com/ggml-org/ggml/pull/302#discussion_r1243240963)
-
-    ```cpp
-    // not OK
-    int small_number;
-    int big_number;
-
-    // OK
-    int number_small;
-    int number_big;
-    ```
-
-- Enum values are always in upper case and prefixed with the enum name
-
-    ```cpp
-    enum llama_vocab_type {
-        LLAMA_VOCAB_TYPE_NONE = 0,
-        LLAMA_VOCAB_TYPE_SPM  = 1,
-        LLAMA_VOCAB_TYPE_BPE  = 2,
-        LLAMA_VOCAB_TYPE_WPM  = 3,
-        LLAMA_VOCAB_TYPE_UGM  = 4,
-        LLAMA_VOCAB_TYPE_RWKV = 5,
-    };
-    ```
-
-- The general naming pattern is `<class>_<method>`, with `<method>` being `<action>_<noun>`
-
-    ```cpp
-    llama_model_init();           // class: "llama_model",         method: "init"
-    llama_sampler_chain_remove(); // class: "llama_sampler_chain", method: "remove"
-    llama_sampler_get_seed();     // class: "llama_sampler",       method: "get_seed"
-    llama_set_embeddings();       // class: "llama_context",       method: "set_embeddings"
-    llama_n_threads();            // class: "llama_context",       method: "n_threads"
-    llama_adapter_lora_free();    // class: "llama_adapter_lora",  method: "free"
-    ```
-
-    - The `get` `<action>` can be omitted
-    - The `<noun>` can be omitted if not necessary
-    - The `_context` suffix of the `<class>` is optional. Use it to disambiguate symbols when needed
-    - Use `init`/`free` for constructor/destructor `<action>`
-
-- Use the `_t` suffix when a type is supposed to be opaque to the user - it's not relevant to them if it is a struct or anything else
-
-    ```cpp
-    typedef struct llama_context * llama_context_t;
-
-    enum llama_pooling_type llama_pooling_type(const llama_context_t ctx);
-    ```
-
-    _(NOTE: this guideline is yet to be applied to the `llama.cpp` codebase. New code should follow this guideline)_
-
-- C/C++ filenames are all lowercase with dashes. Headers use the `.h` extension. Source files use the `.c` or `.cpp` extension
-- Python filenames are all lowercase with underscores
-
-- _(TODO: abbreviations usage)_
-
-# Preprocessor directives
-
-- _(TODO: add guidelines with examples and apply them to the codebase)_
-
-    ```cpp
-    #ifdef FOO
-    #endif // FOO
-    ```
-
-# Code maintenance
-
-- Existing code should have designated collaborators and/or maintainers specified in the [CODEOWNERS](CODEOWNERS) file responsible for:
-  - Reviewing and merging related PRs
-  - Fixing related bugs
-  - Providing developer guidance/support
-
-- When adding or modifying a large piece of code:
-  - If you are a collaborator, make sure to add yourself to [CODEOWNERS](CODEOWNERS) to indicate your availability for reviewing related PRs
-  - If you are a contributor, find an existing collaborator who is willing to review and maintain your code long-term
-  - Provide the necessary CI workflow (and hardware) to test your changes (see [ci/README.md](https://github.com/ggml-org/llama.cpp/tree/master/ci))
-
-- New code should follow the guidelines (coding, naming, etc.) outlined in this document. Exceptions are allowed in isolated, backend-specific parts of the code that do not interface directly with the `ggml` interfaces.
-  _(NOTE: for legacy reasons, existing code is not required to follow this guideline)_
-
-# Documentation
-
-- Documentation is a community effort
-- When you need to look into the source code to figure out how to use an API consider adding a short summary to the header file for future reference
-- When you notice incorrect or outdated documentation, please update it
-
-# Resources
-
-The Github issues, PRs and discussions contain a lot of information that can be useful to get familiar with the codebase. For convenience, some of the more important information is referenced from Github projects:
-
-https://github.com/ggml-org/llama.cpp/projects
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-# llama.cpp
-
-![llama](https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png)
-
-[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
-[![Release](https://img.shields.io/github/v/release/ggml-org/llama.cpp)](https://github.com/ggml-org/llama.cpp/releases)
-[![Server](https://github.com/ggml-org/llama.cpp/actions/workflows/server.yml/badge.svg)](https://github.com/ggml-org/llama.cpp/actions/workflows/server.yml)
-
-[Manifesto](https://github.com/ggml-org/llama.cpp/discussions/205) / [ggml](https://github.com/ggml-org/ggml) / [ops](https://github.com/ggml-org/llama.cpp/blob/master/docs/ops.md)
-
-LLM inference in C/C++
-
-## Recent API changes
-
-- [Changelog for `libllama` API](https://github.com/ggml-org/llama.cpp/issues/9289)
-- [Changelog for `llama-server` REST API](https://github.com/ggml-org/llama.cpp/issues/9291)
-
-## Hot topics
-
-- **[guide : using the new WebUI of llama.cpp](https://github.com/ggml-org/llama.cpp/discussions/16938)**
-- [guide : running gpt-oss with llama.cpp](https://github.com/ggml-org/llama.cpp/discussions/15396)
-- [[FEEDBACK] Better packaging for llama.cpp to support downstream consumers 🤗](https://github.com/ggml-org/llama.cpp/discussions/15313)
-- Support for the `gpt-oss` model with native MXFP4 format has been added | [PR](https://github.com/ggml-org/llama.cpp/pull/15091) | [Collaboration with NVIDIA](https://blogs.nvidia.com/blog/rtx-ai-garage-openai-oss) | [Comment](https://github.com/ggml-org/llama.cpp/discussions/15095)
-- Multimodal support arrived in `llama-server`: [#12898](https://github.com/ggml-org/llama.cpp/pull/12898) | [documentation](./docs/multimodal.md)
-- VS Code extension for FIM completions: https://github.com/ggml-org/llama.vscode
-- Vim/Neovim plugin for FIM completions: https://github.com/ggml-org/llama.vim
-- Hugging Face Inference Endpoints now support GGUF out of the box! https://github.com/ggml-org/llama.cpp/discussions/9669
-- Hugging Face GGUF editor: [discussion](https://github.com/ggml-org/llama.cpp/discussions/9268) | [tool](https://huggingface.co/spaces/CISCai/gguf-editor)
-
-----
-
-## Quick start
-
-Getting started with llama.cpp is straightforward. Here are several ways to install it on your machine:
-
-- Install `llama.cpp` using [brew, nix or winget](docs/install.md)
-- Run with Docker - see our [Docker documentation](docs/docker.md)
-- Download pre-built binaries from the [releases page](https://github.com/ggml-org/llama.cpp/releases)
-- Build from source by cloning this repository - check out [our build guide](docs/build.md)
-
-Once installed, you'll need a model to work with. Head to the [Obtaining and quantizing models](#obtaining-and-quantizing-models) section to learn more.
-
-Example command:
-
-```sh
-# Use a local model file
-llama-cli -m my_model.gguf
-
-# Or download and run a model directly from Hugging Face
-llama-cli -hf ggml-org/gemma-3-1b-it-GGUF
-
-# Launch OpenAI-compatible API server
-llama-server -hf ggml-org/gemma-3-1b-it-GGUF
-```
-
-## Description
-
-The main goal of `llama.cpp` is to enable LLM inference with minimal setup and state-of-the-art performance on a wide
-range of hardware - locally and in the cloud.
-
-- Plain C/C++ implementation without any dependencies
-- Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
-- AVX, AVX2, AVX512 and AMX support for x86 architectures
-- RVV, ZVFH, ZFH, ZICBOP and ZIHINTPAUSE support for RISC-V architectures
-- 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
-- Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP and Moore Threads GPUs via MUSA)
-- Vulkan and SYCL backend support
-- CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity
-
-The `llama.cpp` project is the main playground for developing new features for the [ggml](https://github.com/ggml-org/ggml) library.
-
-<details>
-<summary>Models</summary>
-
-Typically finetunes of the base models below are supported as well.
-
-Instructions for adding support for new models: [HOWTO-add-model.md](docs/development/HOWTO-add-model.md)
-
-#### Text-only
-
-- [X] LLaMA 🦙
-- [x] LLaMA 2 🦙🦙
-- [x] LLaMA 3 🦙🦙🦙
-- [X] [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1)
-- [x] [Mixtral MoE](https://huggingface.co/models?search=mistral-ai/Mixtral)
-- [x] [DBRX](https://huggingface.co/databricks/dbrx-instruct)
-- [x] [Jamba](https://huggingface.co/ai21labs)
-- [X] [Falcon](https://huggingface.co/models?search=tiiuae/falcon)
-- [X] [Chinese LLaMA / Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca) and [Chinese LLaMA-2 / Alpaca-2](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2)
-- [X] [Vigogne (French)](https://github.com/bofenghuang/vigogne)
-- [X] [BERT](https://github.com/ggml-org/llama.cpp/pull/5423)
-- [X] [Koala](https://bair.berkeley.edu/blog/2023/04/03/koala/)
-- [X] [Baichuan 1 & 2](https://huggingface.co/models?search=baichuan-inc/Baichuan) + [derivations](https://huggingface.co/hiyouga/baichuan-7b-sft)
-- [X] [Aquila 1 & 2](https://huggingface.co/models?search=BAAI/Aquila)
-- [X] [Starcoder models](https://github.com/ggml-org/llama.cpp/pull/3187)
-- [X] [Refact](https://huggingface.co/smallcloudai/Refact-1_6B-fim)
-- [X] [MPT](https://github.com/ggml-org/llama.cpp/pull/3417)
-- [X] [Bloom](https://github.com/ggml-org/llama.cpp/pull/3553)
-- [x] [Yi models](https://huggingface.co/models?search=01-ai/Yi)
-- [X] [StableLM models](https://huggingface.co/stabilityai)
-- [x] [Deepseek models](https://huggingface.co/models?search=deepseek-ai/deepseek)
-- [x] [Qwen models](https://huggingface.co/models?search=Qwen/Qwen)
-- [x] [PLaMo-13B](https://github.com/ggml-org/llama.cpp/pull/3557)
-- [x] [Phi models](https://huggingface.co/models?search=microsoft/phi)
-- [x] [PhiMoE](https://github.com/ggml-org/llama.cpp/pull/11003)
-- [x] [GPT-2](https://huggingface.co/gpt2)
-- [x] [Orion 14B](https://github.com/ggml-org/llama.cpp/pull/5118)
-- [x] [InternLM2](https://huggingface.co/models?search=internlm2)
-- [x] [CodeShell](https://github.com/WisdomShell/codeshell)
-- [x] [Gemma](https://ai.google.dev/gemma)
-- [x] [Mamba](https://github.com/state-spaces/mamba)
-- [x] [Grok-1](https://huggingface.co/keyfan/grok-1-hf)
-- [x] [Xverse](https://huggingface.co/models?search=xverse)
-- [x] [Command-R models](https://huggingface.co/models?search=CohereForAI/c4ai-command-r)
-- [x] [SEA-LION](https://huggingface.co/models?search=sea-lion)
-- [x] [GritLM-7B](https://huggingface.co/GritLM/GritLM-7B) + [GritLM-8x7B](https://huggingface.co/GritLM/GritLM-8x7B)
-- [x] [OLMo](https://allenai.org/olmo)
-- [x] [OLMo 2](https://allenai.org/olmo)
-- [x] [OLMoE](https://huggingface.co/allenai/OLMoE-1B-7B-0924)
-- [x] [Granite models](https://huggingface.co/collections/ibm-granite/granite-code-models-6624c5cec322e4c148c8b330)
-- [x] [GPT-NeoX](https://github.com/EleutherAI/gpt-neox) + [Pythia](https://github.com/EleutherAI/pythia)
-- [x] [Snowflake-Arctic MoE](https://huggingface.co/collections/Snowflake/arctic-66290090abe542894a5ac520)
-- [x] [Smaug](https://huggingface.co/models?search=Smaug)
-- [x] [Poro 34B](https://huggingface.co/LumiOpen/Poro-34B)
-- [x] [Bitnet b1.58 models](https://huggingface.co/1bitLLM)
-- [x] [Flan T5](https://huggingface.co/models?search=flan-t5)
-- [x] [Open Elm models](https://huggingface.co/collections/apple/openelm-instruct-models-6619ad295d7ae9f868b759ca)
-- [x] [ChatGLM3-6b](https://huggingface.co/THUDM/chatglm3-6b) + [ChatGLM4-9b](https://huggingface.co/THUDM/glm-4-9b) + [GLMEdge-1.5b](https://huggingface.co/THUDM/glm-edge-1.5b-chat) + [GLMEdge-4b](https://huggingface.co/THUDM/glm-edge-4b-chat)
-- [x] [GLM-4-0414](https://huggingface.co/collections/THUDM/glm-4-0414-67f3cbcb34dd9d252707cb2e)
-- [x] [SmolLM](https://huggingface.co/collections/HuggingFaceTB/smollm-6695016cad7167254ce15966)
-- [x] [EXAONE-3.0-7.8B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct)
-- [x] [FalconMamba Models](https://huggingface.co/collections/tiiuae/falconmamba-7b-66b9a580324dd1598b0f6d4a)
-- [x] [Jais](https://huggingface.co/inceptionai/jais-13b-chat)
-- [x] [Bielik-11B-v2.3](https://huggingface.co/collections/speakleash/bielik-11b-v23-66ee813238d9b526a072408a)
-- [x] [RWKV-7](https://huggingface.co/collections/shoumenchougou/rwkv7-gxx-gguf)
-- [x] [RWKV-6](https://github.com/BlinkDL/RWKV-LM)
-- [x] [QRWKV-6](https://huggingface.co/recursal/QRWKV6-32B-Instruct-Preview-v0.1)
-- [x] [GigaChat-20B-A3B](https://huggingface.co/ai-sage/GigaChat-20B-A3B-instruct)
-- [X] [Trillion-7B-preview](https://huggingface.co/trillionlabs/Trillion-7B-preview)
-- [x] [Ling models](https://huggingface.co/collections/inclusionAI/ling-67c51c85b34a7ea0aba94c32)
-- [x] [LFM2 models](https://huggingface.co/collections/LiquidAI/lfm2-686d721927015b2ad73eaa38)
-- [x] [Hunyuan models](https://huggingface.co/collections/tencent/hunyuan-dense-model-6890632cda26b19119c9c5e7)
-- [x] [BailingMoeV2 (Ring/Ling 2.0) models](https://huggingface.co/collections/inclusionAI/ling-v2-68bf1dd2fc34c306c1fa6f86)
-
-#### Multimodal
-
-- [x] [LLaVA 1.5 models](https://huggingface.co/collections/liuhaotian/llava-15-653aac15d994e992e2677a7e), [LLaVA 1.6 models](https://huggingface.co/collections/liuhaotian/llava-16-65b9e40155f60fd046a5ccf2)
-- [x] [BakLLaVA](https://huggingface.co/models?search=SkunkworksAI/Bakllava)
-- [x] [Obsidian](https://huggingface.co/NousResearch/Obsidian-3B-V0.5)
-- [x] [ShareGPT4V](https://huggingface.co/models?search=Lin-Chen/ShareGPT4V)
-- [x] [MobileVLM 1.7B/3B models](https://huggingface.co/models?search=mobileVLM)
-- [x] [Yi-VL](https://huggingface.co/models?search=Yi-VL)
-- [x] [Mini CPM](https://huggingface.co/models?search=MiniCPM)
-- [x] [Moondream](https://huggingface.co/vikhyatk/moondream2)
-- [x] [Bunny](https://github.com/BAAI-DCAI/Bunny)
-- [x] [GLM-EDGE](https://huggingface.co/models?search=glm-edge)
-- [x] [Qwen2-VL](https://huggingface.co/collections/Qwen/qwen2-vl-66cee7455501d7126940800d)
-- [x] [LFM2-VL](https://huggingface.co/collections/LiquidAI/lfm2-vl-68963bbc84a610f7638d5ffa)
-
-</details>
-
-<details>
-<summary>Bindings</summary>
-
-- Python: [ddh0/easy-llama](https://github.com/ddh0/easy-llama)
-- Python: [abetlen/llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
-- Go: [go-skynet/go-llama.cpp](https://github.com/go-skynet/go-llama.cpp)
-- Node.js: [withcatai/node-llama-cpp](https://github.com/withcatai/node-llama-cpp)
-- JS/TS (llama.cpp server client): [lgrammel/modelfusion](https://modelfusion.dev/integration/model-provider/llamacpp)
-- JS/TS (Programmable Prompt Engine CLI): [offline-ai/cli](https://github.com/offline-ai/cli)
-- JavaScript/Wasm (works in browser): [tangledgroup/llama-cpp-wasm](https://github.com/tangledgroup/llama-cpp-wasm)
-- Typescript/Wasm (nicer API, available on npm): [ngxson/wllama](https://github.com/ngxson/wllama)
-- Ruby: [yoshoku/llama_cpp.rb](https://github.com/yoshoku/llama_cpp.rb)
-- Rust (more features): [edgenai/llama_cpp-rs](https://github.com/edgenai/llama_cpp-rs)
-- Rust (nicer API): [mdrokz/rust-llama.cpp](https://github.com/mdrokz/rust-llama.cpp)
-- Rust (more direct bindings): [utilityai/llama-cpp-rs](https://github.com/utilityai/llama-cpp-rs)
-- Rust (automated build from crates.io): [ShelbyJenkins/llm_client](https://github.com/ShelbyJenkins/llm_client)
-- C#/.NET: [SciSharp/LLamaSharp](https://github.com/SciSharp/LLamaSharp)
-- C#/VB.NET (more features - community license): [LM-Kit.NET](https://docs.lm-kit.com/lm-kit-net/index.html)
-- Scala 3: [donderom/llm4s](https://github.com/donderom/llm4s)
-- Clojure: [phronmophobic/llama.clj](https://github.com/phronmophobic/llama.clj)
-- React Native: [mybigday/llama.rn](https://github.com/mybigday/llama.rn)
-- Java: [kherud/java-llama.cpp](https://github.com/kherud/java-llama.cpp)
-- Java: [QuasarByte/llama-cpp-jna](https://github.com/QuasarByte/llama-cpp-jna)
-- Zig: [deins/llama.cpp.zig](https://github.com/Deins/llama.cpp.zig)
-- Flutter/Dart: [netdur/llama_cpp_dart](https://github.com/netdur/llama_cpp_dart)
-- Flutter: [xuegao-tzx/Fllama](https://github.com/xuegao-tzx/Fllama)
-- PHP (API bindings and features built on top of llama.cpp): [distantmagic/resonance](https://github.com/distantmagic/resonance) [(more info)](https://github.com/ggml-org/llama.cpp/pull/6326)
-- Guile Scheme: [guile_llama_cpp](https://savannah.nongnu.org/projects/guile-llama-cpp)
-- Swift [srgtuszy/llama-cpp-swift](https://github.com/srgtuszy/llama-cpp-swift)
-- Swift [ShenghaiWang/SwiftLlama](https://github.com/ShenghaiWang/SwiftLlama)
-- Delphi [Embarcadero/llama-cpp-delphi](https://github.com/Embarcadero/llama-cpp-delphi)
-- Go (no CGo needed): [hybridgroup/yzma](https://github.com/hybridgroup/yzma)
-- Android: [llama.android](/examples/llama.android)
-
-</details>
-
-<details>
-<summary>UIs</summary>
-
-*(to have a project listed here, it should clearly state that it depends on `llama.cpp`)*
-
-- [AI Sublime Text plugin](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (MIT)
-- [BonzAI App](https://apps.apple.com/us/app/bonzai-your-local-ai-agent/id6752847988) (proprietary)
-- [cztomsik/ava](https://github.com/cztomsik/ava) (MIT)
-- [Dot](https://github.com/alexpinel/Dot) (GPL)
-- [eva](https://github.com/ylsdamxssjxxdd/eva) (MIT)
-- [iohub/collama](https://github.com/iohub/coLLaMA) (Apache-2.0)
-- [janhq/jan](https://github.com/janhq/jan) (AGPL)
-- [johnbean393/Sidekick](https://github.com/johnbean393/Sidekick) (MIT)
-- [KanTV](https://github.com/zhouwg/kantv?tab=readme-ov-file) (Apache-2.0)
-- [KodiBot](https://github.com/firatkiral/kodibot) (GPL)
-- [llama.vim](https://github.com/ggml-org/llama.vim) (MIT)
-- [LARS](https://github.com/abgulati/LARS) (AGPL)
-- [Llama Assistant](https://github.com/vietanhdev/llama-assistant) (GPL)
-- [LlamaLib](https://github.com/undreamai/LlamaLib) (Apache-2.0)
-- [LLMFarm](https://github.com/guinmoon/LLMFarm?tab=readme-ov-file) (MIT)
-- [LLMUnity](https://github.com/undreamai/LLMUnity) (MIT)
-- [LMStudio](https://lmstudio.ai/) (proprietary)
-- [LocalAI](https://github.com/mudler/LocalAI) (MIT)
-- [LostRuins/koboldcpp](https://github.com/LostRuins/koboldcpp) (AGPL)
-- [MindMac](https://mindmac.app) (proprietary)
-- [MindWorkAI/AI-Studio](https://github.com/MindWorkAI/AI-Studio) (FSL-1.1-MIT)
-- [Mobile-Artificial-Intelligence/maid](https://github.com/Mobile-Artificial-Intelligence/maid) (MIT)
-- [Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile) (Apache-2.0)
-- [nat/openplayground](https://github.com/nat/openplayground) (MIT)
-- [nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all) (MIT)
-- [ollama/ollama](https://github.com/ollama/ollama) (MIT)
-- [oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui) (AGPL)
-- [PocketPal AI](https://github.com/a-ghorbani/pocketpal-ai) (MIT)
-- [psugihara/FreeChat](https://github.com/psugihara/FreeChat) (MIT)
-- [ptsochantaris/emeltal](https://github.com/ptsochantaris/emeltal) (MIT)
-- [pythops/tenere](https://github.com/pythops/tenere) (AGPL)
-- [ramalama](https://github.com/containers/ramalama) (MIT)
-- [semperai/amica](https://github.com/semperai/amica) (MIT)
-- [withcatai/catai](https://github.com/withcatai/catai) (MIT)
-- [Autopen](https://github.com/blackhole89/autopen) (GPL)
-
-</details>
-
-<details>
-<summary>Tools</summary>
-
-- [akx/ggify](https://github.com/akx/ggify) – download PyTorch models from HuggingFace Hub and convert them to GGML
-- [akx/ollama-dl](https://github.com/akx/ollama-dl) – download models from the Ollama library to be used directly with llama.cpp
-- [crashr/gppm](https://github.com/crashr/gppm) – launch llama.cpp instances utilizing NVIDIA Tesla P40 or P100 GPUs with reduced idle power consumption
-- [gpustack/gguf-parser](https://github.com/gpustack/gguf-parser-go/tree/main/cmd/gguf-parser) - review/check the GGUF file and estimate the memory usage
-- [Styled Lines](https://marketplace.unity.com/packages/tools/generative-ai/styled-lines-llama-cpp-model-292902) (proprietary licensed, async wrapper of inference part for game development in Unity3d with pre-built Mobile and Web platform wrappers and a model example)
-- [unslothai/unsloth](https://github.com/unslothai/unsloth) – 🦥 exports/saves fine-tuned and trained models to GGUF (Apache-2.0)
-
-</details>
-
-<details>
-<summary>Infrastructure</summary>
-
-- [Paddler](https://github.com/intentee/paddler) - Open-source LLMOps platform for hosting and scaling AI in your own infrastructure
-- [GPUStack](https://github.com/gpustack/gpustack) - Manage GPU clusters for running LLMs
-- [llama_cpp_canister](https://github.com/onicai/llama_cpp_canister) - llama.cpp as a smart contract on the Internet Computer, using WebAssembly
-- [llama-swap](https://github.com/mostlygeek/llama-swap) - transparent proxy that adds automatic model switching with llama-server
-- [Kalavai](https://github.com/kalavai-net/kalavai-client) - Crowdsource end to end LLM deployment at any scale
-- [llmaz](https://github.com/InftyAI/llmaz) - ☸️ Easy, advanced inference platform for large language models on Kubernetes.
-- [LLMKube](https://github.com/defilantech/llmkube) - Kubernetes operator for llama.cpp with multi-GPU and Apple Silicon Metal
-  support"
-</details>
-
-<details>
-<summary>Games</summary>
-
-- [Lucy's Labyrinth](https://github.com/MorganRO8/Lucys_Labyrinth) - A simple maze game where agents controlled by an AI model will try to trick you.
-
-</details>
-
-
-## Supported backends
-
-| Backend | Target devices |
-| --- | --- |
-| [Metal](docs/build.md#metal-build) | Apple Silicon |
-| [BLAS](docs/build.md#blas-build) | All |
-| [BLIS](docs/backend/BLIS.md) | All |
-| [SYCL](docs/backend/SYCL.md) | Intel and Nvidia GPU |
-| [OpenVINO [In Progress]](docs/backend/OPENVINO.md) | Intel CPUs, GPUs, and NPUs |
-| [MUSA](docs/build.md#musa) | Moore Threads GPU |
-| [CUDA](docs/build.md#cuda) | Nvidia GPU |
-| [HIP](docs/build.md#hip) | AMD GPU |
-| [ZenDNN](docs/build.md#zendnn) | AMD CPU |
-| [Vulkan](docs/build.md#vulkan) | GPU |
-| [CANN](docs/build.md#cann) | Ascend NPU |
-| [OpenCL](docs/backend/OPENCL.md) | Adreno GPU |
-| [IBM zDNN](docs/backend/zDNN.md) | IBM Z & LinuxONE |
-| [WebGPU [In Progress]](docs/build.md#webgpu) | All |
-| [RPC](https://github.com/ggml-org/llama.cpp/tree/master/tools/rpc) | All |
-| [Hexagon [In Progress]](docs/backend/snapdragon/README.md) | Snapdragon |
-| [VirtGPU](docs/backend/VirtGPU.md) | VirtGPU APIR |
-
-## Obtaining and quantizing models
-
-The [Hugging Face](https://huggingface.co) platform hosts a [number of LLMs](https://huggingface.co/models?library=gguf&sort=trending) compatible with `llama.cpp`:
-
-- [Trending](https://huggingface.co/models?library=gguf&sort=trending)
-- [LLaMA](https://huggingface.co/models?sort=trending&search=llama+gguf)
-
-You can either manually download the GGUF file or directly use any `llama.cpp`-compatible models from [Hugging Face](https://huggingface.co/) or other model hosting sites, such as [ModelScope](https://modelscope.cn/), by using this CLI argument: `-hf <user>/<model>[:quant]`. For example:
-
-```sh
-llama-cli -hf ggml-org/gemma-3-1b-it-GGUF
-```
-
-By default, the CLI would download from Hugging Face, you can switch to other options with the environment variable `MODEL_ENDPOINT`. For example, you may opt to downloading model checkpoints from ModelScope or other model sharing communities by setting the environment variable, e.g. `MODEL_ENDPOINT=https://www.modelscope.cn/`.
-
-After downloading a model, use the CLI tools to run it locally - see below.
-
-`llama.cpp` requires the model to be stored in the [GGUF](https://github.com/ggml-org/ggml/blob/master/docs/gguf.md) file format. Models in other data formats can be converted to GGUF using the `convert_*.py` Python scripts in this repo.
-
-The Hugging Face platform provides a variety of online tools for converting, quantizing and hosting models with `llama.cpp`:
-
-- Use the [GGUF-my-repo space](https://huggingface.co/spaces/ggml-org/gguf-my-repo) to convert to GGUF format and quantize model weights to smaller sizes
-- Use the [GGUF-my-LoRA space](https://huggingface.co/spaces/ggml-org/gguf-my-lora) to convert LoRA adapters to GGUF format (more info: https://github.com/ggml-org/llama.cpp/discussions/10123)
-- Use the [GGUF-editor space](https://huggingface.co/spaces/CISCai/gguf-editor) to edit GGUF meta data in the browser (more info: https://github.com/ggml-org/llama.cpp/discussions/9268)
-- Use the [Inference Endpoints](https://ui.endpoints.huggingface.co/) to directly host `llama.cpp` in the cloud (more info: https://github.com/ggml-org/llama.cpp/discussions/9669)
-
-To learn more about model quantization, [read this documentation](tools/quantize/README.md)
-
-## [`llama-cli`](tools/cli)
-
-#### A CLI tool for accessing and experimenting with most of `llama.cpp`'s functionality.
-
-- <details open>
-    <summary>Run in conversation mode</summary>
-
-    Models with a built-in chat template will automatically activate conversation mode. If this doesn't occur, you can manually enable it by adding `-cnv` and specifying a suitable chat template with `--chat-template NAME`
-
-    ```bash
-    llama-cli -m model.gguf
-
-    # > hi, who are you?
-    # Hi there! I'm your helpful assistant! I'm an AI-powered chatbot designed to assist and provide information to users like you. I'm here to help answer your questions, provide guidance, and offer support on a wide range of topics. I'm a friendly and knowledgeable AI, and I'm always happy to help with anything you need. What's on your mind, and how can I assist you today?
-    #
-    # > what is 1+1?
-    # Easy peasy! The answer to 1+1 is... 2!
-    ```
-
-    </details>
-
-- <details>
-    <summary>Run in conversation mode with custom chat template</summary>
-
-    ```bash
-    # use the "chatml" template (use -h to see the list of supported templates)
-    llama-cli -m model.gguf -cnv --chat-template chatml
-
-    # use a custom template
-    llama-cli -m model.gguf -cnv --in-prefix 'User: ' --reverse-prompt 'User:'
-    ```
-
-    </details>
-
-- <details>
-    <summary>Constrain the output with a custom grammar</summary>
-
-    ```bash
-    llama-cli -m model.gguf -n 256 --grammar-file grammars/json.gbnf -p 'Request: schedule a call at 8pm; Command:'
-
-    # {"appointmentTime": "8pm", "appointmentDetails": "schedule a a call"}
-    ```
-
-    The [grammars/](grammars/) folder contains a handful of sample grammars. To write your own, check out the [GBNF Guide](grammars/README.md).
-
-    For authoring more complex JSON grammars, check out https://grammar.intrinsiclabs.ai/
-
-    </details>
-
-
-## [`llama-server`](tools/server)
-
-#### A lightweight, [OpenAI API](https://github.com/openai/openai-openapi) compatible, HTTP server for serving LLMs.
-
-- <details open>
-    <summary>Start a local HTTP server with default configuration on port 8080</summary>
-
-    ```bash
-    llama-server -m model.gguf --port 8080
-
-    # Basic web UI can be accessed via browser: http://localhost:8080
-    # Chat completion endpoint: http://localhost:8080/v1/chat/completions
-    ```
-
-    </details>
-
-- <details>
-    <summary>Support multiple-users and parallel decoding</summary>
-
-    ```bash
-    # up to 4 concurrent requests, each with 4096 max context
-    llama-server -m model.gguf -c 16384 -np 4
-    ```
-
-    </details>
-
-- <details>
-    <summary>Enable speculative decoding</summary>
-
-    ```bash
-    # the draft.gguf model should be a small variant of the target model.gguf
-    llama-server -m model.gguf -md draft.gguf
-    ```
-
-    </details>
-
-- <details>
-    <summary>Serve an embedding model</summary>
-
-    ```bash
-    # use the /embedding endpoint
-    llama-server -m model.gguf --embedding --pooling cls -ub 8192
-    ```
-
-    </details>
-
-- <details>
-    <summary>Serve a reranking model</summary>
-
-    ```bash
-    # use the /reranking endpoint
-    llama-server -m model.gguf --reranking
-    ```
-
-    </details>
-
-- <details>
-    <summary>Constrain all outputs with a grammar</summary>
-
-    ```bash
-    # custom grammar
-    llama-server -m model.gguf --grammar-file grammar.gbnf
-
-    # JSON
-    llama-server -m model.gguf --grammar-file grammars/json.gbnf
-    ```
-
-    </details>
-
-
-## [`llama-perplexity`](tools/perplexity)
-
-#### A tool for measuring the [perplexity](tools/perplexity/README.md) [^1] (and other quality metrics) of a model over a given text.
-
-- <details open>
-    <summary>Measure the perplexity over a text file</summary>
-
-    ```bash
-    llama-perplexity -m model.gguf -f file.txt
-
-    # [1]15.2701,[2]5.4007,[3]5.3073,[4]6.2965,[5]5.8940,[6]5.6096,[7]5.7942,[8]4.9297, ...
-    # Final estimate: PPL = 5.4007 +/- 0.67339
-    ```
-
-    </details>
-
-- <details>
-    <summary>Measure KL divergence</summary>
-
-    ```bash
-    # TODO
-    ```
-
-    </details>
-
-[^1]: [https://huggingface.co/docs/transformers/perplexity](https://huggingface.co/docs/transformers/perplexity)
-
-## [`llama-bench`](tools/llama-bench)
-
-#### Benchmark the performance of the inference for various parameters.
-
-- <details open>
-    <summary>Run default benchmark</summary>
-
-    ```bash
-    llama-bench -m model.gguf
-
-    # Output:
-    # | model               |       size |     params | backend    | threads |          test |                  t/s |
-    # | ------------------- | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |
-    # | qwen2 1.5B Q4_0     | 885.97 MiB |     1.54 B | Metal,BLAS |      16 |         pp512 |      5765.41 ± 20.55 |
-    # | qwen2 1.5B Q4_0     | 885.97 MiB |     1.54 B | Metal,BLAS |      16 |         tg128 |        197.71 ± 0.81 |
-    #
-    # build: 3e0ba0e60 (4229)
-    ```
-
-    </details>
-
-## [`llama-simple`](examples/simple)
-
-#### A minimal example for implementing apps with `llama.cpp`. Useful for developers.
-
-- <details>
-    <summary>Basic text completion</summary>
-
-    ```bash
-    llama-simple -m model.gguf
-
-    # Hello my name is Kaitlyn and I am a 16 year old girl. I am a junior in high school and I am currently taking a class called "The Art of
-    ```
-
-    </details>
-
-
-## Contributing
-
-- Contributors can open PRs
-- Collaborators will be invited based on contributions
-- Maintainers can push to branches in the `llama.cpp` repo and merge PRs into the `master` branch
-- Any help with managing issues, PRs and projects is very appreciated!
-- See [good first issues](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) for tasks suitable for first contributions
-- Read the [CONTRIBUTING.md](CONTRIBUTING.md) for more information
-- Make sure to read this: [Inference at the edge](https://github.com/ggml-org/llama.cpp/discussions/205)
-- A bit of backstory for those who are interested: [Changelog podcast](https://changelog.com/podcast/532)
-
-## Other documentation
-
-- [cli](tools/cli/README.md)
-- [completion](tools/completion/README.md)
-- [server](tools/server/README.md)
-- [GBNF grammars](grammars/README.md)
-
-#### Development documentation
-
-- [How to build](docs/build.md)
-- [Running on Docker](docs/docker.md)
-- [Build on Android](docs/android.md)
-- [Performance troubleshooting](docs/development/token_generation_performance_tips.md)
-- [GGML tips & tricks](https://github.com/ggml-org/llama.cpp/wiki/GGML-Tips-&-Tricks)
-
-#### Seminal papers and background on the models
-
-If your issue is with model generation quality, then please at least scan the following links and papers to understand the limitations of LLaMA models. This is especially important when choosing an appropriate model size and appreciating both the significant and subtle differences between LLaMA models and ChatGPT:
-- LLaMA:
-    - [Introducing LLaMA: A foundational, 65-billion-parameter large language model](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/)
-    - [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971)
-- GPT-3
-    - [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165)
-- GPT-3.5 / InstructGPT / ChatGPT:
-    - [Aligning language models to follow instructions](https://openai.com/research/instruction-following)
-    - [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155)
-
-## XCFramework
-The XCFramework is a precompiled version of the library for iOS, visionOS, tvOS,
-and macOS. It can be used in Swift projects without the need to compile the
-library from source. For example:
-```swift
-// swift-tools-version: 5.10
-// The swift-tools-version declares the minimum version of Swift required to build this package.
-
-import PackageDescription
-
-let package = Package(
-    name: "MyLlamaPackage",
-    targets: [
-        .executableTarget(
-            name: "MyLlamaPackage",
-            dependencies: [
-                "LlamaFramework"
-            ]),
-        .binaryTarget(
-            name: "LlamaFramework",
-            url: "https://github.com/ggml-org/llama.cpp/releases/download/b5046/llama-b5046-xcframework.zip",
-            checksum: "c19be78b5f00d8d29a25da41042cb7afa094cbf6280a225abe614b03b20029ab"
-        )
-    ]
-)
-```
-The above example is using an intermediate build `b5046` of the library. This can be modified
-to use a different version by changing the URL and checksum.
-
-## Completions
-Command-line completion is available for some environments.
-
-#### Bash Completion
-```bash
-$ build/bin/llama-cli --completion-bash > ~/.llama-completion.bash
-$ source ~/.llama-completion.bash
-```
-Optionally this can be added to your `.bashrc` or `.bash_profile` to load it
-automatically. For example:
-```console
-$ echo "source ~/.llama-completion.bash" >> ~/.bashrc
-```
-
-## Dependencies
-
-- [yhirose/cpp-httplib](https://github.com/yhirose/cpp-httplib) - Single-header HTTP server, used by `llama-server` - MIT license
-- [stb-image](https://github.com/nothings/stb) - Single-header image format decoder, used by multimodal subsystem - Public domain
-- [nlohmann/json](https://github.com/nlohmann/json) - Single-header JSON library, used by various tools/examples - MIT License
-- [miniaudio.h](https://github.com/mackron/miniaudio) - Single-header audio format decoder, used by multimodal subsystem - Public domain
-- [subprocess.h](https://github.com/sheredom/subprocess.h) - Single-header process launching solution for C and C++ - Public domain
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfc44b7ba25614df70e6b65e3341cae0310163bd32fd31a6b928a542df433faf
+size 30786
diff --git a/ci/run.sh b/ci/run.sh
index eaf6358c0d36692e38d353195e1d8ec4e29c75b5..529da07779fde7c610c7c47a09fe04279c879cdd 100644
--- a/ci/run.sh
+++ b/ci/run.sh
@@ -57,6 +57,13 @@ SRC=`pwd`
 CMAKE_EXTRA="-DLLAMA_FATAL_WARNINGS=${LLAMA_FATAL_WARNINGS:-ON} -DLLAMA_OPENSSL=OFF -DGGML_SCHED_NO_REALLOC=ON"
 CTEST_EXTRA=""
 
+# Default to use make unless specified for compatibility
+CMAKE_GENERATOR="Unix Makefiles"
+
+if [ ! -z "${GG_BUILD_NINJA}" ]; then
+    CMAKE_GENERATOR="Ninja"
+fi
+
 if [ ! -z ${GG_BUILD_METAL} ]; then
     CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=ON"
 fi
@@ -112,6 +119,11 @@ if [ ! -z ${GG_BUILD_VULKAN} ]; then
         CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=OFF -DGGML_BLAS=OFF"
     fi
 
+    # Build shared libs on Windows
+    # to reduce binary size and avoid errors in library loading unit tests
+    if uname -s | grep -qi nt; then
+        CMAKE_EXTRA="${CMAKE_EXTRA} -DBUILD_SHARED_LIBS=ON"
+    fi
 fi
 
 if [ ! -z ${GG_BUILD_WEBGPU} ]; then
@@ -144,35 +156,7 @@ fi
 
 if [ -n "${GG_BUILD_KLEIDIAI}" ]; then
     echo ">>===== Enabling KleidiAI support"
-
-    CANDIDATES=(
-        "armv9-a+dotprod+i8mm+sve2"
-        "armv9-a+dotprod+i8mm"
-        "armv8.6-a+dotprod+i8mm"
-        "armv8.2-a+dotprod"
-    )
-    CPU=""
-
-    for cpu in "${CANDIDATES[@]}"; do
-        if echo 'int main(){}' | ${CXX:-c++} -march="$cpu" -x c++ - -c -o /dev/null >/dev/null 2>&1; then
-            CPU="$cpu"
-            break
-        fi
-    done
-
-    if [ -z "$CPU" ]; then
-        echo "ERROR: None of the required ARM baselines (armv9/armv8.6/armv8.2 + dotprod) are supported by this compiler."
-        exit 1
-    fi
-
-    echo ">>===== Using ARM baseline: ${CPU}"
-
-    CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } \
-        -DGGML_NATIVE=OFF \
-        -DGGML_CPU_KLEIDIAI=ON \
-        -DGGML_CPU_AARCH64=ON \
-        -DGGML_CPU_ARM_ARCH=${CPU} \
-        -DBUILD_SHARED_LIBS=OFF"
+    CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } -DGGML_CPU_KLEIDIAI=ON"
 fi
 
 if [ ! -z ${GG_BUILD_BLAS} ]; then
@@ -242,13 +226,13 @@ function gg_run_ctest_debug {
 
     set -e
 
-    # Check cmake, make and ctest are installed
+    # Check required binaries are installed
     gg_check_build_requirements
 
-    (time cmake -DCMAKE_BUILD_TYPE=Debug ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
-    (time make -j$(nproc)                                  ) 2>&1 | tee -a $OUT/${ci}-make.log
+    (cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Debug ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time cmake --build . --config Debug -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
 
-    (time ctest --output-on-failure -L main -E "test-opt|test-backend-ops" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
+    (time ctest -C Debug --output-on-failure -L main -E "test-opt|test-backend-ops" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
 
     set +e
 }
@@ -273,16 +257,16 @@ function gg_run_ctest_release {
 
     set -e
 
-    # Check cmake, make and ctest are installed
+    # Check required binaries are installed
     gg_check_build_requirements
 
-    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
-    (time make -j$(nproc)                                    ) 2>&1 | tee -a $OUT/${ci}-make.log
+    (cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
 
     if [ -z ${GG_BUILD_LOW_PERF} ]; then
-        (time ctest --output-on-failure -L 'main|python' ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
+        (time ctest -C Release --output-on-failure -L 'main|python' ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
     else
-        (time ctest --output-on-failure -L main -E test-opt ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
+        (time ctest -C Release --output-on-failure -L main -E test-opt ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
     fi
 
     set +e
@@ -340,7 +324,7 @@ function gg_run_ctest_with_model_debug {
     cd build-ci-debug
     set -e
 
-    (LLAMACPP_TEST_MODELFILE="$model" time ctest --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
+    (LLAMACPP_TEST_MODELFILE="$model" time ctest -C Debug --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
 
     set +e
     cd ..
@@ -353,7 +337,7 @@ function gg_run_ctest_with_model_release {
     cd build-ci-release
     set -e
 
-    (LLAMACPP_TEST_MODELFILE="$model" time ctest --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
+    (LLAMACPP_TEST_MODELFILE="$model" time ctest -C Release --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
 
     # test memory leaks
     #if [[ ! -z ${GG_BUILD_METAL} ]]; then
@@ -407,8 +391,8 @@ function gg_run_qwen3_0_6b {
 
     set -e
 
-    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
-    (time make -j$(nproc)                                    ) 2>&1 | tee -a $OUT/${ci}-make.log
+    (cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
 
     python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf  --outtype f16
     python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-bf16.gguf --outtype bf16
@@ -556,8 +540,8 @@ function gg_run_embd_bge_small {
 
     set -e
 
-    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
-    (time make -j$(nproc)                                    ) 2>&1 | tee -a $OUT/${ci}-make.log
+    (cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
 
     python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
 
@@ -601,8 +585,8 @@ function gg_run_rerank_tiny {
 
     set -e
 
-    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
-    (time make -j$(nproc)                                    ) 2>&1 | tee -a $OUT/${ci}-make.log
+    (cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
 
     python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
 
@@ -648,12 +632,36 @@ function gg_sum_rerank_tiny {
 }
 
 function gg_check_build_requirements {
+    if ! command -v git &> /dev/null; then
+        gg_printf 'git not found, please install'
+    fi
+
+    if ! command -v git-lfs &> /dev/null; then
+        gg_printf 'git-lfs not found, please install'
+    fi
+
+    if ! command -v wget &> /dev/null; then
+        gg_printf 'wget not found, please install'
+    fi
+
+    if ! command -v python3 &> /dev/null; then
+        gg_printf 'python3 not found, please install'
+    fi
+
+    if ! command -v pip3 &> /dev/null; then
+        gg_printf 'pip3 not found, please install'
+    fi
+
+    if ! python3 -m ensurepip --help &> /dev/null; then
+        gg_printf 'ensurepip not found, please install python3-venv package'
+    fi
+
     if ! command -v cmake &> /dev/null; then
         gg_printf 'cmake not found, please install'
     fi
 
-    if ! command -v make &> /dev/null; then
-        gg_printf 'make not found, please install'
+    if ! command -v ccache &> /dev/null; then
+        gg_printf 'ccache not found, please consider installing for faster builds'
     fi
 
     if ! command -v ctest &> /dev/null; then
diff --git a/cmake/arm64-linux-clang.cmake b/cmake/arm64-linux-clang.cmake
new file mode 100644
index 0000000000000000000000000000000000000000..f16e280ec6609c13ad1546b7a0cd97ee07e37776
--- /dev/null
+++ b/cmake/arm64-linux-clang.cmake
@@ -0,0 +1,17 @@
+set( CMAKE_SYSTEM_NAME Linux )
+set( CMAKE_SYSTEM_PROCESSOR arm64 )
+
+set( target aarch64-linux-gnu )
+
+set( CMAKE_C_COMPILER    clang )
+set( CMAKE_CXX_COMPILER  clang++ )
+
+set( CMAKE_C_COMPILER_TARGET   ${target} )
+set( CMAKE_CXX_COMPILER_TARGET ${target} )
+
+set( arch_c_flags "-march=armv8.7-a -fvectorize -ffp-model=fast -fno-finite-math-only" )
+set( warn_c_flags "-Wno-format -Wno-unused-variable -Wno-unused-function -Wno-gnu-zero-variadic-macro-arguments" )
+
+set( CMAKE_C_FLAGS_INIT   "${arch_c_flags} ${warn_c_flags}" )
+set( CMAKE_CXX_FLAGS_INIT "${arch_c_flags} ${warn_c_flags}" )
+
diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt
index 75c6366c7fa65e265a5b37e83cb2747c27d7db95..a1f6ea599b8c4d1515219f817b6bbcb2b05e6bef 100644
--- a/common/CMakeLists.txt
+++ b/common/CMakeLists.txt
@@ -1,151 +1,3 @@
-# common
-
-find_package(Threads REQUIRED)
-
-llama_add_compile_flags()
-
-# Build info header
-
-if(EXISTS "${PROJECT_SOURCE_DIR}/.git")
-    set(GIT_DIR "${PROJECT_SOURCE_DIR}/.git")
-
-    # Is git submodule
-    if(NOT IS_DIRECTORY "${GIT_DIR}")
-        file(READ ${GIT_DIR} REAL_GIT_DIR_LINK)
-        string(REGEX REPLACE "gitdir: (.*)\n$" "\\1" REAL_GIT_DIR ${REAL_GIT_DIR_LINK})
-        string(FIND "${REAL_GIT_DIR}" "/" SLASH_POS)
-        if (SLASH_POS EQUAL 0)
-            set(GIT_DIR "${REAL_GIT_DIR}")
-        else()
-            set(GIT_DIR "${PROJECT_SOURCE_DIR}/${REAL_GIT_DIR}")
-        endif()
-    endif()
-
-    if(EXISTS "${GIT_DIR}/index")
-        # For build-info.cpp below
-        set_property(DIRECTORY APPEND PROPERTY CMAKE_CONFIGURE_DEPENDS "${GIT_DIR}/index")
-    else()
-        message(WARNING "Git index not found in git repository.")
-    endif()
-else()
-    message(WARNING "Git repository not found; to enable automatic generation of build info, make sure Git is installed and the project is a Git repository.")
-endif()
-
-set(TEMPLATE_FILE "${CMAKE_CURRENT_SOURCE_DIR}/build-info.cpp.in")
-set(OUTPUT_FILE   "${CMAKE_CURRENT_BINARY_DIR}/build-info.cpp")
-configure_file(${TEMPLATE_FILE} ${OUTPUT_FILE})
-
-set(TARGET build_info)
-add_library(${TARGET} OBJECT ${OUTPUT_FILE})
-if (BUILD_SHARED_LIBS)
-    set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
-endif()
-
-set(TARGET common)
-
-add_library(${TARGET} STATIC
-    arg.cpp
-    arg.h
-    base64.hpp
-    chat-auto-parser-generator.cpp
-    chat-auto-parser-helpers.cpp
-    chat-auto-parser.h
-    chat-diff-analyzer.cpp
-    chat-peg-parser.cpp
-    chat-peg-parser.h
-    chat.cpp
-    chat.h
-    common.cpp
-    common.h
-    console.cpp
-    console.h
-    debug.cpp
-    debug.h
-    download.cpp
-    download.h
-    http.h
-    json-partial.cpp
-    json-partial.h
-    json-schema-to-grammar.cpp
-    llguidance.cpp
-    log.cpp
-    log.h
-    ngram-cache.cpp
-    ngram-cache.h
-    ngram-map.cpp
-    ngram-map.h
-    ngram-mod.cpp
-    ngram-mod.h
-    peg-parser.cpp
-    peg-parser.h
-    preset.cpp
-    preset.h
-    regex-partial.cpp
-    reasoning-budget.cpp
-    reasoning-budget.h
-    regex-partial.h
-    sampling.cpp
-    sampling.h
-    speculative.cpp
-    speculative.h
-    unicode.cpp
-    unicode.h
-    jinja/lexer.cpp
-    jinja/lexer.h
-    jinja/parser.cpp
-    jinja/parser.h
-    jinja/runtime.cpp
-    jinja/runtime.h
-    jinja/value.cpp
-    jinja/value.h
-    jinja/string.cpp
-    jinja/string.h
-    jinja/caps.cpp
-    jinja/caps.h
-    )
-
-target_include_directories(${TARGET} PUBLIC . ../vendor)
-target_compile_features   (${TARGET} PUBLIC cxx_std_17)
-
-if (BUILD_SHARED_LIBS)
-    set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
-endif()
-
-target_link_libraries(${TARGET} PRIVATE
-    build_info
-    cpp-httplib
-)
-
-if (LLAMA_LLGUIDANCE)
-    include(ExternalProject)
-    set(LLGUIDANCE_SRC ${CMAKE_BINARY_DIR}/llguidance/source)
-    set(LLGUIDANCE_PATH ${LLGUIDANCE_SRC}/target/release)
-    set(LLGUIDANCE_LIB_NAME "${CMAKE_STATIC_LIBRARY_PREFIX}llguidance${CMAKE_STATIC_LIBRARY_SUFFIX}")
-
-    ExternalProject_Add(llguidance_ext
-        GIT_REPOSITORY https://github.com/guidance-ai/llguidance
-        # v1.0.1:
-        GIT_TAG d795912fedc7d393de740177ea9ea761e7905774
-        PREFIX ${CMAKE_BINARY_DIR}/llguidance
-        SOURCE_DIR ${LLGUIDANCE_SRC}
-        BUILD_IN_SOURCE TRUE
-        CONFIGURE_COMMAND ""
-        BUILD_COMMAND cargo build --release --package llguidance
-        INSTALL_COMMAND ""
-        BUILD_BYPRODUCTS ${LLGUIDANCE_PATH}/${LLGUIDANCE_LIB_NAME} ${LLGUIDANCE_PATH}/llguidance.h
-        UPDATE_COMMAND ""
-    )
-    target_compile_definitions(${TARGET} PUBLIC LLAMA_USE_LLGUIDANCE)
-
-    add_library(llguidance STATIC IMPORTED)
-    set_target_properties(llguidance PROPERTIES IMPORTED_LOCATION ${LLGUIDANCE_PATH}/${LLGUIDANCE_LIB_NAME})
-    add_dependencies(llguidance llguidance_ext)
-
-    target_include_directories(${TARGET} PRIVATE ${LLGUIDANCE_PATH})
-    target_link_libraries(${TARGET} PRIVATE llguidance)
-    if (WIN32)
-        target_link_libraries(${TARGET} PRIVATE ws2_32 userenv ntdll bcrypt)
-    endif()
-endif()
-
-target_link_libraries(${TARGET} PUBLIC llama Threads::Threads)
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4fe95e36bff8944120f212aaeef45c24c483038ddc30bffc5694102fdff30f0
+size 4864
diff --git a/common/arg.cpp b/common/arg.cpp
index 666339a0945c337ba645c8cb494d4cc4b789d989..6751a55ab0ce030616ec9873751f44e8528fbfe4 100644
--- a/common/arg.cpp
+++ b/common/arg.cpp
@@ -1,8 +1,10 @@
 #include "arg.h"
 
+#include "build-info.h"
 #include "chat.h"
 #include "common.h"
 #include "download.h"
+#include "hf-cache.h"
 #include "json-schema-to-grammar.h"
 #include "log.h"
 #include "sampling.h"
@@ -290,14 +292,16 @@ static bool common_params_handle_remote_preset(common_params & params, llama_exa
         hf_tag = "default";
     }
 
-    const bool offline = params.offline;
-    std::string model_endpoint = get_model_endpoint();
+    std::string model_endpoint = common_get_model_endpoint();
     auto preset_url = model_endpoint + hf_repo + "/resolve/main/preset.ini";
 
     // prepare local path for caching
     auto preset_fname = clean_file_name(hf_repo + "_preset.ini");
     auto preset_path = fs_get_cache_file(preset_fname);
-    const int status = common_download_file_single(preset_url, preset_path, params.hf_token, offline);
+    common_download_opts opts;
+    opts.bearer_token = params.hf_token;
+    opts.offline = params.offline;
+    const int status = common_download_file_single(preset_url, preset_path, opts);
     const bool has_preset = status >= 200 && status < 400;
 
     // remote preset is optional, so we don't error out if not found
@@ -326,60 +330,49 @@ struct handle_model_result {
     common_params_model mmproj;
 };
 
-static handle_model_result common_params_handle_model(
-        struct common_params_model & model,
-        const std::string & bearer_token,
-        bool offline) {
+static handle_model_result common_params_handle_model(struct common_params_model & model,
+                                                      const std::string          & bearer_token,
+                                                      bool                         offline) {
     handle_model_result result;
-    // handle pre-fill default model path and url based on hf_repo and hf_file
-    {
-        if (!model.docker_repo.empty()) {  // Handle Docker URLs by resolving them to local paths
-            model.path = common_docker_resolve_model(model.docker_repo);
-            model.name = model.docker_repo; // set name for consistency
-        } else if (!model.hf_repo.empty()) {
-            // short-hand to avoid specifying --hf-file -> default it to --model
-            if (model.hf_file.empty()) {
-                if (model.path.empty()) {
-                    auto auto_detected = common_get_hf_file(model.hf_repo, bearer_token, offline);
-                    if (auto_detected.repo.empty() || auto_detected.ggufFile.empty()) {
-                        exit(1); // error message already printed
-                    }
-                    model.name    = model.hf_repo;      // repo name with tag
-                    model.hf_repo = auto_detected.repo; // repo name without tag
-                    model.hf_file = auto_detected.ggufFile;
-                    if (!auto_detected.mmprojFile.empty()) {
-                        result.found_mmproj   = true;
-                        result.mmproj.hf_repo = model.hf_repo;
-                        result.mmproj.hf_file = auto_detected.mmprojFile;
-                    }
-                } else {
-                    model.hf_file = model.path;
-                }
-            }
 
-            std::string model_endpoint = get_model_endpoint();
-            model.url = model_endpoint + model.hf_repo + "/resolve/main/" + model.hf_file;
-            // make sure model path is present (for caching purposes)
-            if (model.path.empty()) {
-                // this is to avoid different repo having same file name, or same file name in different subdirs
-                std::string filename = clean_file_name(model.hf_repo + "_" + model.hf_file);
-                model.path = fs_get_cache_file(filename);
-            }
+    if (!model.docker_repo.empty()) {
+        model.path = common_docker_resolve_model(model.docker_repo);
+        model.name = model.docker_repo;
+    } else if (!model.hf_repo.empty()) {
+        // If -m was used with -hf, treat the model "path" as the hf_file to download
+        if (model.hf_file.empty() && !model.path.empty()) {
+            model.hf_file = model.path;
+            model.path = "";
+        }
+        common_download_opts opts;
+        opts.bearer_token = bearer_token;
+        opts.offline = offline;
+        auto download_result = common_download_model(model, opts, true);
+
+        if (download_result.model_path.empty()) {
+            LOG_ERR("error: failed to download model from Hugging Face\n");
+            exit(1);
+        }
 
-        } else if (!model.url.empty()) {
-            if (model.path.empty()) {
-                auto f = string_split<std::string>(model.url, '#').front();
-                f = string_split<std::string>(f, '?').front();
-                model.path = fs_get_cache_file(string_split<std::string>(f, '/').back());
-            }
+        model.name = model.hf_repo;
+        model.path = download_result.model_path;
 
+        if (!download_result.mmproj_path.empty()) {
+            result.found_mmproj = true;
+            result.mmproj.path  = download_result.mmproj_path;
+        }
+    } else if (!model.url.empty()) {
+        if (model.path.empty()) {
+            auto f = string_split<std::string>(model.url, '#').front();
+            f = string_split<std::string>(f, '?').front();
+            model.path = fs_get_cache_file(string_split<std::string>(f, '/').back());
         }
-    }
 
-    // then, download it if needed
-    if (!model.url.empty()) {
-        bool ok = common_download_model(model, bearer_token, offline);
-        if (!ok) {
+        common_download_opts opts;
+        opts.bearer_token = bearer_token;
+        opts.offline = offline;
+        auto download_result = common_download_model(model, opts);
+        if (download_result.model_path.empty()) {
             LOG_ERR("error: failed to download model from %s\n", model.url.c_str());
             exit(1);
         }
@@ -434,6 +427,9 @@ static bool parse_bool_value(const std::string & value) {
 static bool common_params_parse_ex(int argc, char ** argv, common_params_context & ctx_arg) {
     common_params & params = ctx_arg.params;
 
+    // setup log directly from params.verbosity: see tools/cli/cli.cpp
+    common_log_set_verbosity_thold(params.verbosity);
+
     std::unordered_map<std::string, std::pair<common_arg *, bool>> arg_to_options;
     for (auto & opt : ctx_arg.options) {
         for (const auto & arg : opt.args) {
@@ -539,8 +535,17 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
     // parse the first time to get -hf option (used for remote preset)
     parse_cli_args();
 
+    // TODO: Remove later
+    try {
+        hf_cache::migrate_old_cache_to_hf_cache(params.hf_token, params.offline);
+    } catch (const std::exception & e) {
+        LOG_WRN("HF cache migration failed: %s\n", e.what());
+    }
+    // export_graph_ops loads only metadata
+    const bool skip_model_download = ctx_arg.ex == LLAMA_EXAMPLE_EXPORT_GRAPH_OPS;
+
     // maybe handle remote preset
-    if (!params.model.hf_repo.empty()) {
+    if (!params.model.hf_repo.empty() && !skip_model_download) {
         std::string cli_hf_repo = params.model.hf_repo;
         bool has_preset = common_params_handle_remote_preset(params, ctx_arg.ex);
 
@@ -571,7 +576,7 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
     }
 
     // handle model and download
-    {
+    if (!skip_model_download) {
         auto res = common_params_handle_model(params.model, params.hf_token, params.offline);
         if (params.no_mmproj) {
             params.mmproj = {};
@@ -592,7 +597,7 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
 
     // model is required (except for server)
     // TODO @ngxson : maybe show a list of available models in CLI in this case
-    if (params.model.path.empty() && ctx_arg.ex != LLAMA_EXAMPLE_SERVER && !params.usage && !params.completion) {
+    if (params.model.path.empty() && ctx_arg.ex != LLAMA_EXAMPLE_SERVER && !skip_model_download && !params.usage && !params.completion) {
         throw std::invalid_argument("error: --model is required\n");
     }
 
@@ -635,8 +640,6 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
         ));
     }
 
-    common_log_set_verbosity_thold(params.verbosity);
-
     return true;
 }
 
@@ -1042,8 +1045,8 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"--version"},
         "show version and build info",
         [](common_params &) {
-            fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
-            fprintf(stderr, "built with %s for %s\n", LLAMA_COMPILER, LLAMA_BUILD_TARGET);
+            fprintf(stderr, "version: %d (%s)\n", llama_build_number(), llama_commit());
+            fprintf(stderr, "built with %s for %s\n", llama_compiler(), llama_build_target());
             exit(0);
         }
     ));
@@ -1061,12 +1064,10 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"-cl", "--cache-list"},
         "show list of models in cache",
         [](common_params &) {
-            printf("model cache directory: %s\n", fs_get_cache_directory().c_str());
             auto models = common_list_cached_models();
             printf("number of models in cache: %zu\n", models.size());
             for (size_t i = 0; i < models.size(); i++) {
-                auto & model = models[i];
-                printf("%4d. %s\n", (int) i + 1, model.to_string().c_str());
+                printf("%4zu. %s\n", i + 1, models[i].to_string().c_str());
             }
             exit(0);
         }
@@ -1084,7 +1085,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params) {
             params.verbose_prompt = true;
         }
-    ));
+    ).set_examples({LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI, LLAMA_EXAMPLE_EMBEDDING, LLAMA_EXAMPLE_RETRIEVAL}));
     add_opt(common_arg(
         {"--display-prompt"},
         {"--no-display-prompt"},
@@ -1314,6 +1315,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.kv_unified = value;
         }
     ).set_env("LLAMA_ARG_KV_UNIFIED").set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_BATCHED, LLAMA_EXAMPLE_BENCH, LLAMA_EXAMPLE_PARALLEL}));
+    add_opt(common_arg(
+        {"--cache-idle-slots"},
+        {"--no-cache-idle-slots"},
+        "save and clear idle slots on new task (default: enabled, requires unified KV and cache-ram)",
+        [](common_params & params, bool value) {
+            params.cache_idle_slots = value;
+        }
+    ).set_env("LLAMA_ARG_CACHE_IDLE_SLOTS").set_examples({LLAMA_EXAMPLE_SERVER}));
     add_opt(common_arg(
         {"--context-shift"},
         {"--no-context-shift"},
@@ -1830,23 +1839,23 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     ).set_sparam());
     add_opt(common_arg(
         {"--grammar"}, "GRAMMAR",
-        string_format("BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '%s')", params.sampling.grammar.c_str()),
+        "BNF-like grammar to constrain generations (see samples in grammars/ dir)",
         [](common_params & params, const std::string & value) {
-            params.sampling.grammar = value;
+            params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, value};
         }
     ).set_sparam());
     add_opt(common_arg(
         {"--grammar-file"}, "FNAME",
         "file to read grammar from",
         [](common_params & params, const std::string & value) {
-            params.sampling.grammar = read_file(value);
+            params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, read_file(value)};
         }
     ).set_sparam());
     add_opt(common_arg(
         {"-j", "--json-schema"}, "SCHEMA",
         "JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\nFor schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead",
         [](common_params & params, const std::string & value) {
-            params.sampling.grammar = json_schema_to_grammar(json::parse(value));
+            params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(value))};
         }
     ).set_sparam());
     add_opt(common_arg(
@@ -1863,7 +1872,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 std::istreambuf_iterator<char>(),
                 std::back_inserter(schema)
             );
-            params.sampling.grammar = json_schema_to_grammar(json::parse(schema));
+            params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(schema))};
         }
     ).set_sparam());
     add_opt(common_arg(
@@ -2343,19 +2352,21 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_env("LLAMA_ARG_N_GPU_LAYERS"));
     add_opt(common_arg(
-        {"-sm", "--split-mode"}, "{none,layer,row}",
+        {"-sm", "--split-mode"}, "{none,layer,row,tensor}",
         "how to split the model across multiple GPUs, one of:\n"
         "- none: use one GPU only\n"
-        "- layer (default): split layers and KV across GPUs\n"
-        "- row: split rows across GPUs",
+        "- layer (default): split layers and KV across GPUs (pipelined)\n"
+        "- row: split weight across GPUs by rows (parallelized)\n"
+        "- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)",
         [](common_params & params, const std::string & value) {
-            std::string arg_next = value;
-            if (arg_next == "none") {
+            if (value == "none") {
                 params.split_mode = LLAMA_SPLIT_MODE_NONE;
-            } else if (arg_next == "layer") {
+            } else if (value == "layer") {
                 params.split_mode = LLAMA_SPLIT_MODE_LAYER;
-            } else if (arg_next == "row") {
+            } else if (value == "row") {
                 params.split_mode = LLAMA_SPLIT_MODE_ROW;
+            } else if (value == "tensor") {
+                params.split_mode = LLAMA_SPLIT_MODE_TENSOR;
             } else {
                 throw std::invalid_argument("invalid value");
             }
@@ -2415,6 +2426,20 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
         }
     ).set_env("LLAMA_ARG_FIT"));
+    add_opt(common_arg(
+        { "-fitp", "--fit-print" }, "[on|off]",
+        string_format("print the estimated required memory ('on' or 'off', default: '%s')", params.fit_params_print ? "on" : "off"),
+        [](common_params & params, const std::string & value) {
+            if (is_truthy(value)) {
+                params.fit_params_print = true;
+            } else if (is_falsey(value)) {
+                params.fit_params_print = false;
+            } else {
+                throw std::runtime_error(
+                    string_format("error: unknown value for --fit-print: '%s'\n", value.c_str()));
+            }
+        }
+    ).set_examples({LLAMA_EXAMPLE_FIT_PARAMS}).set_env("LLAMA_ARG_FIT_ESTIMATE"));
     add_opt(common_arg(
         { "-fitt", "--fit-target" }, "MiB0,MiB1,MiB2,...",
         string_format("target margin per device for --fit, comma-separated list of values, "
@@ -2583,7 +2608,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"-hf", "-hfr", "--hf-repo"}, "<user>/<model>[:quant]",
         "Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.\n"
         "mmproj is also downloaded automatically if available. to disable, add --no-mmproj\n"
-        "example: unsloth/phi-4-GGUF:q4_k_m\n"
+        "example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M\n"
         "(default: unused)",
         [](common_params & params, const std::string & value) {
             params.model.hf_repo = value;
@@ -2812,6 +2837,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.port = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_PORT"));
+    add_opt(common_arg(
+        {"--reuse-port"},
+        string_format("allow multiple sockets to bind to the same port (default: %s)", params.reuse_port ? "enabled" : "disabled"),
+        [](common_params & params) {
+            params.reuse_port = true;
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_REUSE_PORT"));
     add_opt(common_arg(
         {"--path"}, "PATH",
         string_format("path to serve static files from (default: %s)", params.public_path.c_str()),
@@ -2848,6 +2880,15 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.webui_mcp_proxy = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_WEBUI_MCP_PROXY"));
+    add_opt(common_arg(
+        {"--tools"}, "TOOL1,TOOL2,...",
+        "experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)\n"
+        "specify \"all\" to enable all tools\n"
+        "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff",
+        [](common_params & params, const std::string & value) {
+            params.server_tools = parse_csv_row(value);
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_TOOLS"));
     add_opt(common_arg(
         {"--webui"},
         {"--no-webui"},
@@ -3250,6 +3291,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         "Set verbosity level to infinity (i.e. log all messages, useful for debugging)",
         [](common_params & params) {
             params.verbosity = INT_MAX;
+            common_log_set_verbosity_thold(INT_MAX);
         }
     ));
     add_opt(common_arg(
@@ -3270,6 +3312,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             "(default: %d)\n", params.verbosity),
         [](common_params & params, int value) {
             params.verbosity = value;
+            common_log_set_verbosity_thold(value);
         }
     ).set_env("LLAMA_LOG_VERBOSITY"));
     add_opt(common_arg(
@@ -3494,7 +3537,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 throw std::invalid_argument("unknown speculative decoding type without draft model");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SERVER}));
+    ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_SPEC_TYPE"));
     add_opt(common_arg(
         {"--spec-ngram-size-n"}, "N",
         string_format("ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: %d)", params.speculative.ngram_size_n),
diff --git a/common/build-info.cpp.in b/common/build-info.cpp.in
index aee9d7eafd681c922f27d8e6ecbf4e44f44d1dcd..f888fd079fa5c6e4c0cb661e022cfea55f4eb72b 100644
--- a/common/build-info.cpp.in
+++ b/common/build-info.cpp.in
@@ -1,4 +1,35 @@
+#include "build-info.h"
+
+#include <cstdio>
+#include <string>
+
 int LLAMA_BUILD_NUMBER = @LLAMA_BUILD_NUMBER@;
-char const *LLAMA_COMMIT = "@LLAMA_BUILD_COMMIT@";
-char const *LLAMA_COMPILER = "@BUILD_COMPILER@";
-char const *LLAMA_BUILD_TARGET = "@BUILD_TARGET@";
+char const * LLAMA_COMMIT = "@LLAMA_BUILD_COMMIT@";
+char const * LLAMA_COMPILER = "@BUILD_COMPILER@";
+char const * LLAMA_BUILD_TARGET = "@BUILD_TARGET@";
+
+int llama_build_number(void) {
+    return LLAMA_BUILD_NUMBER;
+}
+
+const char * llama_commit(void) {
+    return LLAMA_COMMIT;
+}
+
+const char * llama_compiler(void) {
+    return LLAMA_COMPILER;
+}
+
+const char * llama_build_target(void) {
+    return LLAMA_BUILD_TARGET;
+}
+
+const char * llama_build_info(void) {
+    static std::string s = "b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT;
+    return s.c_str();
+}
+
+void llama_print_build_info(void) {
+    fprintf(stderr, "%s: build = %d (%s)\n",      __func__, llama_build_number(), llama_commit());
+    fprintf(stderr, "%s: built with %s for %s\n", __func__, llama_compiler(), llama_build_target());
+}
diff --git a/common/build-info.h b/common/build-info.h
new file mode 100644
index 0000000000000000000000000000000000000000..382cfa78500ad333a8108017065a2de7c4a7fa5a
--- /dev/null
+++ b/common/build-info.h
@@ -0,0 +1,11 @@
+#pragma once
+
+int llama_build_number(void);
+
+const char * llama_commit(void);
+const char * llama_compiler(void);
+
+const char * llama_build_target(void);
+const char * llama_build_info(void);
+
+void llama_print_build_info(void);
diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp
index f19819494c8e33797ae861a82d38e536cf76982e..453559a4b04e1dd4ed7a865e16b4f8b5edc0b68a 100644
--- a/common/chat-auto-parser-generator.cpp
+++ b/common/chat-auto-parser-generator.cpp
@@ -1,3 +1,4 @@
+#include "chat-auto-parser-helpers.h"
 #include "chat-auto-parser.h"
 #include "chat-peg-parser.h"
 #include "chat.h"
@@ -5,6 +6,7 @@
 #include "json-schema-to-grammar.h"
 #include "log.h"
 #include "nlohmann/json.hpp"
+#include "peg-parser.h"
 
 #include <stdexcept>
 #include <string>
@@ -23,13 +25,13 @@ static void foreach_function(const json & tools, const std::function<void(const
 
 namespace autoparser {
 
-parser_build_context::parser_build_context(common_chat_peg_builder & p, const templates_params & inputs) :
+parser_build_context::parser_build_context(common_chat_peg_builder & p, const generation_params & inputs) :
     p(p),
     inputs(inputs),
     reasoning_parser(p.eps()) {}
 
 common_chat_params peg_generator::generate_parser(const common_chat_template &    tmpl,
-                                                  const struct templates_params & inputs) {
+                                                  const struct generation_params & inputs) {
     // Run differential analysis to extract template structure
     struct autoparser autoparser;
     autoparser.analyze_template(tmpl);
@@ -37,17 +39,16 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
 }
 
 common_chat_params peg_generator::generate_parser(const common_chat_template &    tmpl,
-                                                  const struct templates_params & inputs,
+                                                  const struct generation_params & inputs,
                                                   const autoparser &              autoparser) {
-    // Build the parser using the analysis results
-    auto parser = autoparser.build_parser(inputs);
-
     // Create the result structure
     common_chat_params data;
     data.prompt           = common_chat_template_direct_apply(tmpl, inputs);
     data.format           = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.preserved_tokens = autoparser.preserved_tokens;
-    data.parser           = parser.save();
+
+    auto parser = autoparser.build_parser(inputs);
+    data.parser = parser.save();
 
     // Build grammar if tools are present
     bool has_tools =
@@ -65,9 +66,13 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
         data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                auto         schema   = function.at("parameters");
+                auto         schema   = function.contains("parameters") ? function.at("parameters") : json::object();
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -82,44 +87,41 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
     return data;
 }
 
-common_peg_arena autoparser::build_parser(const templates_params & inputs) const {
+common_peg_arena autoparser::build_parser(const generation_params & inputs) const {
     if (!analysis_complete) {
         throw std::invalid_argument("Cannot call build_parser on autoparser without performing analysis first, call analyze_template(...)");
     }
     return build_chat_peg_parser([&](common_chat_peg_builder & p) {
-        // If the template uses Python dict format (single-quoted strings in JSON structures),
-        // pre-register a json-string rule that accepts both quote styles. This must happen
-        // before any call to p.json() so that all JSON parsing inherits the flexible rule.
-        if (tools.format.uses_python_dicts) {
-            p.rule("json-string", p.quoted_string());
-        }
-
         parser_build_context ctx(p, inputs);
         bool                 extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
-        bool                 enable_thinking   = inputs.enable_thinking;
 
-        ctx.extracting_reasoning = extract_reasoning && enable_thinking && reasoning.mode != reasoning_mode::NONE;
+        ctx.extracting_reasoning = extract_reasoning && reasoning.mode != reasoning_mode::NONE;
         ctx.content              = &content;
+        ctx.reasoning            = &reasoning;
 
         // Build reasoning parser
         ctx.reasoning_parser = reasoning.build_parser(ctx);
 
+        auto parser = p.eps();
+
         bool has_tools           = inputs.tools.is_array() && !inputs.tools.empty();
         bool has_response_format = inputs.json_schema.is_object() && !inputs.json_schema.empty();
+        bool pure_content        = reasoning.mode == reasoning_mode::NONE;
 
         if (has_response_format) {
             auto response_format = p.rule("response-format", p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)));
-            return ctx.reasoning_parser + p.space() + p.choice({
+            parser = ctx.reasoning_parser + p.space() + p.choice({
                 p.literal("```json") + p.space() + response_format + p.space() + p.literal("```"),
                 response_format
             }) + p.end();
+            pure_content = false;
+        } else if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) {
+            parser = tools.build_parser(ctx);
+            pure_content = false;
+        } else {
+            parser = content.build_parser(ctx);
         }
-
-        if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) {
-            return tools.build_parser(ctx);
-        }
-
-        return content.build_parser(ctx);
+        return pure_content ? p.prefix(inputs.generation_prompt, reasoning.start) + parser : p.prefix(inputs.generation_prompt, reasoning.start) << parser;
     });
 }
 
@@ -130,24 +132,15 @@ common_peg_parser analyze_reasoning::build_parser(parser_build_context & ctx) co
         return p.eps();
     }
 
-    bool thinking_forced_open   = (mode == reasoning_mode::FORCED_OPEN);
-    bool thinking_forced_closed = (mode == reasoning_mode::FORCED_CLOSED);
-
-    if (thinking_forced_open || thinking_forced_closed) {
-        // Thinking is forced open OR forced closed with enable_thinking=true
-        // In both cases, expect only the closing tag (opening was in template)
-        // However, since we might have incorrectly detected the open/close pattern,
-        // we admit an optional starting marker
-        return p.optional(p.literal(start)) + p.reasoning(p.until(end)) + end;
-    }
     if (mode == reasoning_mode::TAG_BASED || mode == reasoning_mode::TOOLS_ONLY) {
-        // Standard tag-based reasoning OR tools-only mode (reasoning appears with tools)
-        // Both use the same tag-based pattern if markers are available
-        if (!start.empty() && !end.empty()) {
-            return p.optional(start + p.reasoning(p.until(end)) + end);
+        if (!end.empty()) {
+            if (!start.empty()) {
+                // Standard tag-based: optional(<think>reasoning</think>)
+                return p.optional(start + p.reasoning(p.until(end)) + end + p.space());
+            }
+            // Delimiter-style (empty start)
+            return p.optional(p.reasoning(p.until(end)) + end + p.space());
         }
-    } else if (mode == reasoning_mode::DELIMITER) {
-        return p.optional(p.reasoning(p.until(end)) + end);
     }
 
     return p.eps();
@@ -205,10 +198,19 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
         args_field = format.function_field + "." + args_field;
     }
 
-    auto tools_parser = p.standard_json_tools(
-        format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
-        inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
-        format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+    auto tools_parser = p.eps();
+    if (format.section_start.empty() && !format.per_call_start.empty()) {
+        auto single_tool_parser = p.standard_json_tools(
+            format.per_call_start, format.per_call_end, inputs.tools, inputs.parallel_tool_calls,
+            inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
+            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+        tools_parser = p.trigger_rule("tool-calls", p.one_or_more(single_tool_parser + p.space()));
+    } else {
+        tools_parser = p.standard_json_tools(
+            format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
+            inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
+            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+    }
 
     // Handle content wrappers if present
     if (ctx.content && ctx.content->is_always_wrapped()) {
@@ -227,6 +229,44 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
            p.end();
 }
 
+common_peg_parser analyze_tools::build_func_parser(common_chat_peg_builder & p, const std::string & name,
+                                                    const common_peg_parser & call_id_section, bool have_call_id,
+                                                    const common_peg_parser & args,
+                                                    std::optional<common_peg_parser> atomic_peek) const {
+    auto              open           = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix);
+    bool              matched_atomic = false;
+    common_peg_parser func_parser    = p.eps();
+
+    if (!function.name_suffix.empty()) {
+        func_parser    = open + call_id_section + p.space() + args;
+        matched_atomic = true;
+    } else if (have_call_id) {
+        func_parser    = p.atomic(open + call_id_section) + p.space() + args;
+        matched_atomic = true;
+    } else if (atomic_peek.has_value()) {
+        func_parser    = p.atomic(open + call_id_section + p.space() + *atomic_peek) + args;
+        matched_atomic = true;
+    } else {
+        func_parser = open + call_id_section + p.space() + args;
+    }
+
+    if (!function.close.empty()) {
+        func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close));
+    } else if (!format.per_call_end.empty()) {
+        // When there's no func_close but there is a per_call_end marker, use peek() to ensure
+        // we only emit tool_close when we can actually see the closing marker. This prevents
+        // premature closing during partial parsing when we've seen e.g. "</" which could be
+        // either "</tool_call>" (end) or "<arg_key>" prefix that failed to match.
+        func_parser = func_parser + p.tool_close(p.peek(p.literal(format.per_call_end)));
+    } else {
+        func_parser = func_parser + p.tool_close(p.space());  // force this to process tool closing callbacks in mapper
+    }
+    if (!matched_atomic) {
+        func_parser = p.atomic(func_parser);
+    }
+    return func_parser;
+}
+
 common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context & ctx) const {
     auto &       p           = ctx.p;
     const auto & inputs      = ctx.inputs;
@@ -237,20 +277,30 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
     foreach_function(inputs.tools, [&](const json & tool) {
         const auto & func   = tool.at("function");
         std::string  name   = func.at("name");
-        const auto & schema = func.at("parameters");
+        const auto & schema = func.contains("parameters") ? func.at("parameters") : json::object();
 
         // Build call_id parser based on position (if supported)
+        bool have_call_id = false;
         common_peg_parser call_id_section = p.eps();
         if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() &&
-            !call_id.suffix.empty()) {
-            call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix;
+            (!call_id.suffix.empty() || !arguments.start.empty())) {
+            if (!call_id.suffix.empty()) {
+                call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix;
+            } else {
+                call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(arguments.start)));
+            }
+            have_call_id = true;
         }
-
-        auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
-                           call_id_section + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema));
-        if (!function.close.empty()) {
-            func_parser = func_parser + function.close;
+        auto args_parser = p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema));
+        if (!arguments.start.empty()) {
+            args_parser = p.literal(arguments.start) + args_parser;
+        }
+        if (!arguments.end.empty()) {
+            args_parser = args_parser + p.literal(arguments.end);
         }
+
+        auto atomic_peek = !arguments.start.empty() ? std::optional(p.peek(p.literal(arguments.start))) : std::nullopt;
+        auto func_parser = build_func_parser(p, name, call_id_section, have_call_id, args_parser, atomic_peek);
         tool_choice |= p.rule("tool-" + name, func_parser);
     });
 
@@ -295,49 +345,42 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
     const auto & inputs      = ctx.inputs;
     bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
 
+    auto until_suffix = p.rule("until-suffix", p.until(arguments.value_suffix));
+
     common_peg_parser tool_choice = p.choice();
 
     foreach_function(inputs.tools, [&](const json & tool) {
-        const auto & func   = tool.at("function");
-        std::string  name   = func.at("name");
-        const auto & params = func.at("parameters");
-
-        if (!params.contains("properties") || !params.at("properties").is_object()) {
-            return;
-        }
+        const auto &          func       = tool.at("function");
+        std::string           name       = func.at("name");
+        auto                  params     = func.contains("parameters") ? func.at("parameters") : json::object();
+        const auto &          properties = params.contains("properties") ? params.at("properties") : json::object();
 
-        const auto &          properties = params.at("properties");
         std::set<std::string> required;
-        if (params.contains("required") && params.at("required").is_array()) {
+        if (params.contains("required")) {
             params.at("required").get_to(required);
         }
 
+        auto schema_info = common_schema_info();
+        schema_info.resolve_refs(params);
+
         // Build parser for each argument, separating required and optional
         std::vector<common_peg_parser> required_parsers;
         std::vector<common_peg_parser> optional_parsers;
         for (const auto & [param_name, param_schema] : properties.items()) {
-            bool        is_required = required.find(param_name) != required.end();
-            std::string type        = "object";
-            auto        type_obj    = param_schema.contains("type") ? param_schema.at("type") : json::object();
-            if (type_obj.is_string()) {
-                type_obj.get_to(type);
-            } else if (type_obj.is_object()) {
-                if (type_obj.contains("type") && type_obj.at("type").is_string()) {
-                    type_obj.at("type").get_to(type);
-                }
-            }
-
-            auto arg = p.tool_arg(
-                p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
-                                arguments.name_suffix) +
-                arguments.value_prefix +
-                (type == "string" ? p.tool_arg_string_value(p.schema(p.until(arguments.value_suffix),
-                                                                     "tool-" + name + "-arg-" + param_name + "-schema",
-                                                                     param_schema, true)) :
-                                    p.tool_arg_json_value(p.schema(
-                                        p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, format.uses_python_dicts)) +
-                                        p.space()) +
-                p.tool_arg_close(p.literal(arguments.value_suffix)));
+            bool is_required = required.find(param_name) != required.end();
+
+            auto arg =
+                p.tool_arg(p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
+                                           arguments.name_suffix) +
+                           arguments.value_prefix +
+                           (schema_info.resolves_to_string(param_schema) ?
+                                p.tool_arg_string_value(p.schema(until_suffix,
+                                                                 "tool-" + name + "-arg-" + param_name + "-schema",
+                                                                 param_schema, true)) :
+                                p.tool_arg_json_value(p.schema(
+                                    p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false)) +
+                                    p.space()) +
+                           p.tool_arg_close(p.literal(arguments.value_suffix)));
 
             auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
             if (is_required) {
@@ -362,53 +405,34 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
             for (const auto & opt : optional_parsers) {
                 any_opt |= opt;
             }
-            args_seq = args_seq + p.repeat(p.space() + any_opt, 0, (int) optional_parsers.size());
+            args_seq = args_seq + p.repeat(p.space() + any_opt, 0, -1);
+        }
+
+        if (!arguments.start.empty()) {
+            args_seq = p.literal(arguments.start) + args_seq;
+        }
+        if (!arguments.end.empty()) {
+            args_seq = args_seq + p.literal(arguments.end);
         }
 
         // Build call_id parser based on position (if supported)
         common_peg_parser call_id_section = p.eps();
         bool have_call_id = false;
         if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() &&
-            !call_id.suffix.empty()) {
+            (!call_id.suffix.empty() || !arguments.start.empty())) {
             have_call_id = true;
-            call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix);
-        }
-
-        bool matched_atomic = false;
-        common_peg_parser func_parser = p.eps();
-        if (!function.name_suffix.empty()) {
-            func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
-                call_id_section + p.space() + args_seq;
-            matched_atomic = true;
-        } else if (have_call_id) {
-            func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
-                call_id_section) + p.space() + args_seq;
-            matched_atomic = true;
-        } else if (!arguments.name_prefix.empty() && properties.size() > 0) {
-            func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
-                call_id_section + p.space() + p.peek(p.literal(arguments.name_prefix))) + args_seq;
-            matched_atomic = true;
-        } else {
-            func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
-                call_id_section + p.space() + args_seq;
-        }
-
-        if (!function.close.empty()) {
-            func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close));
-        } else if (!format.per_call_end.empty()) {
-            // When there's no func_close but there is a per_call_end marker, use peek() to ensure
-            // we only emit tool_close when we can actually see the closing marker. This prevents
-            // premature closing during partial parsing when we've seen e.g. "</" which could be
-            // either "</tool_call>" (end) or "<arg_key>" prefix that failed to match.
-            func_parser = func_parser + p.tool_close(p.peek(p.literal(format.per_call_end)));
-        } else {
-            func_parser =
-                func_parser + p.tool_close(p.space());  // force this to process tool closing callbacks in mapper
-        }
-        if (!matched_atomic) {
-            func_parser = p.atomic(func_parser);
+            if (!call_id.suffix.empty()) {
+                call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix);
+            } else {
+                call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(arguments.start)));
+            }
         }
 
+        // Only peek for an arg tag when there are required args that must follow.
+        // When all args are optional, the model may emit no arg tags at all (#20650).
+        auto atomic_peek = (!arguments.name_prefix.empty() && !required_parsers.empty()) ?
+            std::optional(p.peek(p.literal(arguments.name_prefix))) : std::nullopt;
+        auto func_parser = build_func_parser(p, name, call_id_section, have_call_id, args_seq, atomic_peek);
         tool_choice |= p.rule("tool-" + name, func_parser);
     });
 
@@ -419,14 +443,14 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
     if (!format.per_call_start.empty()) {
         auto wrapped_call = format.per_call_start + p.space() + tool_choice + p.space() + format.per_call_end;
         if (inputs.parallel_tool_calls) {
-            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call));
+            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call) + p.space());
         } else {
-            tool_calls = p.trigger_rule("tool-call", wrapped_call);
+            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.space());
         }
         if (!format.section_start.empty()) {
             tool_calls = p.trigger_rule("tool-calls",
                                         p.literal(format.section_start) + p.space() + tool_calls + p.space() +
-                                            (format.section_end.empty() ? p.end() : p.literal(format.section_end)));
+                                            (format.section_end.empty() ? p.end() : p.literal(format.section_end) + p.space()));
         }
     } else {
         std::string separator = ", ";  // Default
diff --git a/common/chat-auto-parser-helpers.cpp b/common/chat-auto-parser-helpers.cpp
index 787d7bab9868ff6da2c1480105a9f640b74bf96a..2499464cd82ffdb167b6291e8549438435b48074 100644
--- a/common/chat-auto-parser-helpers.cpp
+++ b/common/chat-auto-parser-helpers.cpp
@@ -1,9 +1,11 @@
 #include "chat-auto-parser-helpers.h"
 
 #include "chat-auto-parser.h"
+#include "chat-peg-parser.h"
 #include "chat.h"
 #include "log.h"
 #include "nlohmann/json.hpp"
+#include "peg-parser.h"
 
 #include <cctype>
 #include <numeric>
@@ -186,6 +188,21 @@ diff_split calculate_diff_split(const std::string & left, const std::string & ri
         result.suffix = "";
         // pick prefix = all as representation
     }
+
+    // When left has no unique content (result.left is empty), left is entirely
+    // shared with right. The simultaneous prefix/suffix segment matching can
+    // incorrectly consume trailing segments of left as suffix when those same
+    // segments also appear at the end of right (e.g. "\n" at the end of both
+    // the shared content and the generation prompt). This rotates the diff.
+    // Fix: if left is a prefix of right, enforce that directly.
+    if (result.left.empty() && !result.right.empty() &&
+            left.size() <= right.size() &&
+            right.substr(0, left.size()) == left) {
+        result.prefix = left;
+        result.suffix = "";
+        result.right  = right.substr(left.size());
+    }
+
     return result;
 }
 
@@ -294,7 +311,7 @@ std::vector<segment> prune_whitespace_segments(const std::vector<segment> & segm
 namespace autoparser {
 
 std::string apply_template(const common_chat_template & tmpl, const template_params & params) {
-    templates_params tmpl_params;
+    generation_params tmpl_params;
     tmpl_params.messages              = params.messages;
     tmpl_params.tools                 = params.tools;
     tmpl_params.add_generation_prompt = params.add_generation_prompt;
diff --git a/common/chat-auto-parser-helpers.h b/common/chat-auto-parser-helpers.h
index 6e3df79db8ae6ae4a34eac5c5b4ffca520a101cd..b8804ac1912d63ddbcae7fb3db5138ede3f37547 100644
--- a/common/chat-auto-parser-helpers.h
+++ b/common/chat-auto-parser-helpers.h
@@ -1,6 +1,7 @@
 #pragma once
 
 #include "chat-auto-parser.h"
+
 #include <functional>
 #include <optional>
 #include <string>
diff --git a/common/chat-auto-parser.h b/common/chat-auto-parser.h
index 52c6488f4b416d50af493482fa4dc90923f68e9e..6c547409760d9cbe8f2d198193e379fad69dfe42 100644
--- a/common/chat-auto-parser.h
+++ b/common/chat-auto-parser.h
@@ -4,6 +4,7 @@
 #include "common.h"
 #include "jinja/caps.h"
 #include "peg-parser.h"
+#include "nlohmann/json.hpp"
 
 #include <chrono>
 #include <optional>
@@ -50,7 +51,7 @@ namespace autoparser {
 // High-level params for parser generation
 // ============================================================================
 
-struct templates_params {
+struct generation_params {
     json                                  messages;
     json                                  tools;
     common_chat_tool_choice               tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO;
@@ -62,6 +63,7 @@ struct templates_params {
     bool                                  add_generation_prompt = false;
     bool                                  enable_thinking       = true;
     std::chrono::system_clock::time_point now                   = std::chrono::system_clock::now();
+    std::string                           generation_prompt;
     json                                  extra_context;
     bool                                  add_bos       = false;
     bool                                  add_eos       = false;
@@ -77,11 +79,7 @@ struct templates_params {
 // Reasoning handling mode (derived from R1-R3 comparisons)
 enum class reasoning_mode {
     NONE,           // No reasoning markers detected
-    TAG_BASED,      // Standard tag-based: <think>...</think>
-    DELIMITER,      // Delimiter-based: [BEGIN FINAL RESPONSE] (reasoning ends at delimiter)
-    FORCED_OPEN,    // Template ends with open reasoning tag (empty start, non-empty end)
-    FORCED_CLOSED,  // Template ends with open reasoning tag on enabled thinking but
-                    // with both opened and closed tag for disabled thinking
+    TAG_BASED,      // Tag-based: <think>...</think> (start can be empty for delimiter-style)
     TOOLS_ONLY      // Only reason on tool calls, not on normal content
 };
 
@@ -91,12 +89,6 @@ inline std::ostream & operator<<(std::ostream & os, const reasoning_mode & mode)
             return os << "NONE";
         case reasoning_mode::TAG_BASED:
             return os << "TAG_BASED";
-        case reasoning_mode::DELIMITER:
-            return os << "DELIMITER";
-        case reasoning_mode::FORCED_OPEN:
-            return os << "FORCED_OPEN";
-        case reasoning_mode::FORCED_CLOSED:
-            return os << "FORCED_CLOSED";
         case reasoning_mode::TOOLS_ONLY:
             return os << "TOOLS_ONLY";
         default:
@@ -184,7 +176,6 @@ struct tool_format_analysis {
 
     bool fun_name_is_key = false;       // In JSON format function name is JSON key, i.e. { "<funname>": { ... arguments ... } }
     bool tools_array_wrapped = false;   // Tool calls wrapped in JSON array [...]
-    bool uses_python_dicts = false;     // Tool call args use Python dict format (single-quoted strings)
 
     std::string              function_field = "function";
     std::string              name_field     = "name";
@@ -222,15 +213,17 @@ struct tool_id_analysis {
 // ============================================================================
 
 struct analyze_content;
+struct analyze_reasoning;
 
 struct parser_build_context {
     common_chat_peg_builder & p;
-    const templates_params &          inputs;
+    const generation_params &         inputs;
     common_peg_parser                 reasoning_parser;
     bool                              extracting_reasoning = false;
+    const analyze_reasoning *         reasoning            = nullptr;
     const analyze_content *           content              = nullptr;
 
-    parser_build_context(common_chat_peg_builder & p, const templates_params & inputs);
+    parser_build_context(common_chat_peg_builder & p, const generation_params & inputs);
 };
 
 // ============================================================================
@@ -260,6 +253,7 @@ struct analyze_reasoning : analyze_base {
 
     analyze_reasoning() = default;
     analyze_reasoning(const common_chat_template & tmpl, bool supports_tools);
+    analyze_reasoning(std::string start_, std::string end_) : start(std::move(start_)), end(std::move(end_)) {}
 
     common_peg_parser build_parser(parser_build_context & ctx) const override;
 
@@ -314,19 +308,23 @@ struct analyze_tools : analyze_base {
 
   private:
     // Extract tool calling 'haystack' for further analysis and delegate further analysis based on format
-    void analyze_tool_calls(const analyze_reasoning & reasoning);
+    void analyze_tool_calls(const analyze_reasoning & reasoning, bool supports_parallel_tool_calls);
 
     // Analyze format based on position of function and argument name in needle
     void analyze_tool_call_format(const std::string &       haystack,
                                   const std::string &       fun_name_needle,
                                   const std::string &       arg_name_needle,
-                                  const analyze_reasoning & reasoning);
+                                  const analyze_reasoning & reasoning,
+                                  bool                      supports_parallel_tool_calls);
 
     // Analyze specifics of JSON native format (entire tool call is a JSON object)
     void analyze_tool_call_format_json_native(const std::string & clean_haystack,
                                               const std::string & fun_name_needle,
                                               const std::string & arg_name_needle);
 
+    // Check if parallel calls in JSON native format array wrapped or tag wrapped
+    void analyze_json_native_parallel_calls();
+
     // Analyze specifics of non-JSON native format (tags for function name or for function name and arguments)
     void analyze_tool_call_format_non_json(const std::string & clean_haystack,
                                            const std::string & fun_name_needle);
@@ -359,6 +357,13 @@ struct analyze_tools : analyze_base {
     common_peg_parser build_tool_parser_json_native(parser_build_context & ctx) const;
     common_peg_parser build_tool_parser_tag_json(parser_build_context & ctx) const;
     common_peg_parser build_tool_parser_tag_tagged(parser_build_context & ctx) const;
+
+    // Shared helper: builds func_parser from open+call_id+args, handling atomic wrapping and close.
+    // atomic_peek: if present, used as the peek expression in the third atomicity branch.
+    common_peg_parser build_func_parser(common_chat_peg_builder & p, const std::string & name,
+                                        const common_peg_parser & call_id_section, bool have_call_id,
+                                        const common_peg_parser & args,
+                                        std::optional<common_peg_parser> atomic_peek) const;
 };
 
 // ============================================================================
@@ -381,7 +386,7 @@ struct autoparser {
     void analyze_template(const common_chat_template & tmpl);
 
     // Build the PEG parser for this template
-    common_peg_arena build_parser(const templates_params & inputs) const;
+    common_peg_arena build_parser(const generation_params & inputs) const;
 
   private:
     // Collect tokens from entire analysis to preserve
@@ -395,10 +400,10 @@ struct autoparser {
 class peg_generator {
   public:
     static common_chat_params generate_parser(const common_chat_template &    tmpl,
-                                              const struct templates_params & inputs);
+                                              const struct generation_params & inputs);
 
     static common_chat_params generate_parser(const common_chat_template &    tmpl,
-                                              const struct templates_params & inputs,
+                                              const struct generation_params & inputs,
                                               const autoparser &              autoparser);
 };
 
diff --git a/common/chat-diff-analyzer.cpp b/common/chat-diff-analyzer.cpp
index 05b3b6b6a8838b482444ad808a688d5a3c612962..2f0bd14afa3314c811f62c272ee158abef051094 100644
--- a/common/chat-diff-analyzer.cpp
+++ b/common/chat-diff-analyzer.cpp
@@ -2,6 +2,7 @@
 #include "chat-auto-parser-helpers.h"
 #include "chat-peg-parser.h"
 #include "chat.h"
+#include "common.h"
 #include "log.h"
 #include "nlohmann/json.hpp"
 #include "peg-parser.h"
@@ -24,6 +25,9 @@ static const std::string ARG_SECOND = "BB_ARG_SND_BB";
 static const std::string USER_MSG = "U_USER_MSG Hello END_U";
 static const std::string ASSISTANT_MSG = "A_ASST_MSG I can help END_A";
 static const std::string THINKING_CONTENT = "REASON_PART I am thinking END_R";
+static const std::string CALL_ID_001 = "call00001";
+static const std::string CALL_ID_002 = "call00002";
+static const std::string CALL_ID_999 = "call99999";
 
 static std::vector<std::function<void(const common_chat_template & tmpl, autoparser &)>> workarounds(
     { // Old reasoning Qwen templates - they don't really display reasoning content, but we still want to
@@ -31,8 +35,9 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
       [](const common_chat_template & tmpl, autoparser & analysis) -> void {
           if (tmpl.src.find("content.split('</think>')") != std::string::npos &&
               tmpl.src.find("reasoning_content") == std::string::npos &&
+              tmpl.src.find("<SPECIAL_12>") == std::string::npos &&
               analysis.reasoning.mode == reasoning_mode::NONE) {
-              analysis.reasoning.mode  = reasoning_mode::FORCED_OPEN;
+              analysis.reasoning.mode  = reasoning_mode::TAG_BASED;
               analysis.reasoning.start = "<think>";
               analysis.reasoning.end   = "</think>";
               analysis.preserved_tokens.push_back("<think>");
@@ -101,6 +106,7 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
               analysis.tools.function.name_prefix  = "<｜tool▁sep｜>";
               analysis.tools.format.per_call_end   = "<｜tool▁call▁end｜>";
               analysis.tools.function.close        = "```";
+              LOG_DBG(ANSI_ORANGE "[Patch: DeepSeek-R1-Distill-Qwen]\n" ANSI_RESET);
           }
       }
     });
@@ -128,7 +134,7 @@ static json user_msg = json{
     { "content", USER_MSG }
 };
 
-static json build_tool_call(const std::string & name, const json & args, const std::string & id = "call00001") {
+static json build_tool_call(const std::string & name, const json & args, const std::string & id = CALL_ID_001) {
     return json{
         { "id",       id                                              },
         { "type",     "function"                                      },
@@ -136,17 +142,17 @@ static json build_tool_call(const std::string & name, const json & args, const s
     };
 }
 
-static json first_tool_call_zero_args         = build_tool_call(FUN_FIRST, json::object(), "call00001");
-static json first_tool_call_one_arg           = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "XXXX" }}, "call00001");
-static json first_tool_call_one_arg_other_val = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "YYYY" }}, "call00001");
-static json first_tool_call_other_arg         = build_tool_call(FUN_FIRST, {{ ARG_SECOND, "YYYY" }}, "call00001");
+static json first_tool_call_zero_args         = build_tool_call(FUN_FIRST, json::object(), CALL_ID_001);
+static json first_tool_call_one_arg           = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "XXXX" }}, CALL_ID_001);
+static json first_tool_call_one_arg_other_val = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "YYYY" }}, CALL_ID_001);
+static json first_tool_call_other_arg         = build_tool_call(FUN_FIRST, {{ ARG_SECOND, "YYYY" }}, CALL_ID_001);
 
 static json first_tool_call =
-    build_tool_call(FUN_FIRST, json{{ ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00001");
+    build_tool_call(FUN_FIRST, json{{ ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, CALL_ID_001);
 static json second_tool_call =
-    build_tool_call(FUN_SECOND, json{ { ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00002");
+    build_tool_call(FUN_SECOND, json{ { ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, CALL_ID_002);
 static json first_tool_call_alt_id =
-    build_tool_call(FUN_FIRST, json{{ ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, "call99999");
+    build_tool_call(FUN_FIRST, json{{ ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, CALL_ID_999);
 
 template <typename T>
 static std::string mode_to_str(T mode) {
@@ -185,7 +191,11 @@ void autoparser::analyze_template(const common_chat_template & tmpl) {
     LOG_DBG("func_name_prefix: '%s'\n", tools.function.name_prefix.c_str());
     LOG_DBG("func_name_suffix: '%s'\n", tools.function.name_suffix.c_str());
     LOG_DBG("func_close: '%s'\n", tools.function.close.c_str());
-    LOG_DBG("python_dict_format: %s\n", tools.format.uses_python_dicts ? "true" : "false");
+    LOG_DBG("call_id_prefix: '%s'\n", tools.call_id.prefix.c_str());
+    LOG_DBG("call_id_suffix: '%s'\n", tools.call_id.suffix.c_str());
+    LOG_DBG("call_id_pos: '%s'\n", mode_to_str(tools.call_id.pos).c_str());
+    LOG_DBG("args_start: '%s'\n", tools.arguments.start.c_str());
+    LOG_DBG("args_end: '%s'\n", tools.arguments.end.c_str());
     LOG_DBG("arg_name_prefix: '%s'\n", tools.arguments.name_prefix.c_str());
     LOG_DBG("arg_name_suffix: '%s'\n", tools.arguments.name_suffix.c_str());
     LOG_DBG("arg_value_prefix: '%s'\n", tools.arguments.value_prefix.c_str());
@@ -286,7 +296,7 @@ void analyze_reasoning::compare_reasoning_presence() {
             return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())) + p.rest());
         });
         auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
-            return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
+            return p.tag("pre", p.marker() + p.space()) + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
         });
         // try the more aggressive parse first, if it fails, fall back to the delimiter one
         auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
@@ -295,16 +305,12 @@ void analyze_reasoning::compare_reasoning_presence() {
         }
         if (result.result.success()) {
             if (!result.tags["pre"].empty() && !result.tags["post"].empty()) {
-                if (parser_wrapped.parse_anywhere_and_extract(diff.right).result.success()) { // both tags in the diff = no forced close
-                    mode = reasoning_mode::TAG_BASED;
-                } else {
-                    mode = reasoning_mode::FORCED_CLOSED;
-                }
-                start = trim_whitespace(result.tags["pre"]);
-                end   = result.tags["post"];
+                mode = reasoning_mode::TAG_BASED;
+                start = trim_leading_whitespace(result.tags["pre"]);
+                end   = trim_trailing_whitespace(result.tags["post"]);
             } else if (!result.tags["post"].empty()) {
-                mode = reasoning_mode::DELIMITER;
-                end = result.tags["post"];
+                mode = reasoning_mode::TAG_BASED;
+                end = trim_trailing_whitespace(result.tags["post"]);
             }
         }
     }
@@ -331,53 +337,66 @@ void analyze_reasoning::compare_thinking_enabled() {
     const auto & diff = comparison->diff;
 
     std::string left_trimmed = trim_whitespace(diff.left);
+    std::string right_trimmed = trim_whitespace(diff.right);
 
     if (left_trimmed.empty() && !diff.right.empty()) {
-        std::string right_trimmed = trim_whitespace(diff.right);
-
         if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) {
             if (start.empty()) {
-                start = right_trimmed;
-                mode  = reasoning_mode::FORCED_OPEN;
+                start = trim_leading_whitespace(diff.right);
+                mode  = reasoning_mode::TAG_BASED;
             }
         }
-    }
+    } else if (right_trimmed.empty() && !diff.left.empty()) {
+        if (!left_trimmed.empty() && string_ends_with(comparison->output_A, left_trimmed)) {
+            if (end.empty()) {
+                auto seg = prune_whitespace_segments(segmentize_markers(comparison->output_A));
+                if (seg.size() >= 2 && seg[seg.size() - 1].value == left_trimmed && seg[seg.size() - 2].type == segment_type::MARKER) {
+                    start = seg[seg.size() - 2].value;
+                }
+                end = trim_trailing_whitespace(diff.left);
+                mode = reasoning_mode::TAG_BASED;
+            }
+        }
+    } else if (!left_trimmed.empty() && !right_trimmed.empty()) {
+        // Full-output diff is noisy (e.g., SmolLM3 changes the system message when enable_thinking flips).
+        // Try to find reasoning markers by tail-anchoring:
+        // one output's generation prompt tail may appear in the other with extra reasoning markers appended.
+        const auto & output_A = comparison->output_A;
+        const auto & output_B = comparison->output_B;
+        const size_t anchor_len = 64;
+
+        for (int dir = 0; dir < 2; dir++) {
+            const auto & base     = dir == 0 ? output_B : output_A;
+            const auto & extended = dir == 0 ? output_A : output_B;
+
+            size_t len = std::min(base.size(), anchor_len);
+            std::string anchor = base.substr(base.size() - len);
+            auto pos = extended.rfind(anchor);
+            if (pos == std::string::npos || pos + len >= extended.size()) {
+                continue;
+            }
 
-    if (start.empty() && !end.empty()) {
-        mode = reasoning_mode::DELIMITER;
-    }
+            std::string extra = trim_whitespace(extended.substr(pos + len));
+            if (extra.empty()) {
+                continue;
+            }
 
-    // Check for FORCED_CLOSED: when enable_thinking=false produces both start and end markers,
-    // but enable_thinking=true produces only the start marker
-    if (!comparison->output_A.empty() && !comparison->output_B.empty()) {
-        auto parser_start = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
-            return p.literal(start) + p.space() + p.literal(end) + p.rest();
-        });
-        auto parser_start_end = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
-            return p.tag("pre", p.literal(start)) + p.space() + p.negate(p.literal(end)) + p.rest();
-        });
-        if (!start.empty() && parser_start_end.parse_anywhere_and_extract(comparison->output_A).result.success() &&
-            parser_start.parse_anywhere_and_extract(comparison->output_B).result.success()) {
-            mode = reasoning_mode::FORCED_CLOSED;
-        } else if (!end.empty()) { // we extract the starting marker now since we didn't get it earlier
-            auto result = parser_start_end.parse_anywhere_and_extract(comparison->output_A);
-            if (result.result.success()) {
-                start = result.tags["pre"];
-                mode  = reasoning_mode::FORCED_CLOSED;
+            auto seg = prune_whitespace_segments(segmentize_markers(extra));
+            if (seg.size() == 2 && seg[0].type == segment_type::MARKER && seg[1].type == segment_type::MARKER) {
+                if (start.empty()) {
+                    start = seg[0].value;
+                }
+                if (end.empty()) {
+                    end   = seg[1].value;
+                }
+                mode = reasoning_mode::TAG_BASED;
+                break;
             }
         }
     }
 
-    if (start.empty() && end.empty()) {  // we might still have the case of "just open" and "just close"
-        if (!diff.left.empty() && !diff.right.empty()) {
-            auto seg_A = segmentize_markers(trim_trailing_whitespace(diff.left));
-            auto seg_B = segmentize_markers(trim_trailing_whitespace(diff.right));
-            if (seg_A.size() == 1 && seg_B.size() == 1) {
-                mode = reasoning_mode::FORCED_CLOSED;
-                start = seg_B[0].value;
-                end = seg_A[0].value;
-            }
-        }
+    if (mode == reasoning_mode::NONE && start.empty() && !end.empty()) {
+        mode = reasoning_mode::TAG_BASED;
     }
 }
 
@@ -421,21 +440,21 @@ void analyze_reasoning::compare_reasoning_scope() {
         LOG_DBG(ANSI_ORANGE "%s: Detected TOOLS_ONLY reasoning mode\n" ANSI_RESET, __func__);
 
         auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
-            return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space()));
+            return p.tag("pre", p.marker() + p.space()) + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space()));
         });
         auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
         if (result.result.success()) {
             start = result.tags["pre"];
-            end = result.tags["post"];
+            end = trim_trailing_whitespace(result.tags["post"]);
         } else {
             auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
                 return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())));
             });
             result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B);
             if (result.result.success()) {
-                end = result.tags["post"];
+                end = trim_trailing_whitespace(result.tags["post"]);
             } else {
-                LOG_DBG(ANSI_ORANGE "%s: Unable to extracft reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__);
+                LOG_DBG(ANSI_ORANGE "%s: Unable to extract reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__);
                 mode = reasoning_mode::NONE;
             }
         }
@@ -514,7 +533,7 @@ analyze_content::analyze_content(const common_chat_template & tmpl, const analyz
         // Take the more promising diff
         std::string pure_content = rdiff.length() > diff_tools.left.length() ? rdiff : diff_tools.left;
         auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
-            return p.tag("pre", p.marker()) + p.space() + p.literal(response) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
+            return p.tag("pre", p.marker() + p.space()) + p.literal(response) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
         });
         auto result = parser_wrapped.parse_anywhere_and_extract(pure_content);
         start = result.tags["pre"];
@@ -539,23 +558,26 @@ analyze_tools::analyze_tools(const common_chat_template & tmpl,
     : analyze_base(tmpl) {
     LOG_DBG(ANSI_ORANGE "Phase 3: Tool call analysis\n" ANSI_RESET);
 
-    analyze_tool_calls(reasoning);
+    analyze_tool_calls(reasoning, caps.supports_parallel_tool_calls);
 
     if (format.mode != tool_format::NONE && format.mode != tool_format::JSON_NATIVE) {
         if (caps.supports_parallel_tool_calls) {
             check_per_call_markers();
         }
+        LOG_DBG(ANSI_ORANGE "Phase 3a: Function call analysis\n" ANSI_RESET);
         extract_function_markers();
+        LOG_DBG(ANSI_ORANGE "Phase 3b: Argument analysis\n" ANSI_RESET);
         if (format.mode == tool_format::TAG_WITH_TAGGED) {
             analyze_arguments();
         }
         extract_argument_separator();
         extract_args_markers();
+        LOG_DBG(ANSI_ORANGE "Phase 3c: Call id analysis\n" ANSI_RESET);
         extract_call_id_markers();
     }
 }
 
-void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) {
+void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning, bool supports_parallel_tool_calls) {
     json assistant_no_tools = json{
         { "role",    "assistant"   },
         { "content", ASSISTANT_MSG }
@@ -589,44 +611,35 @@ void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) {
         return;
     }
 
-    analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning);
+    analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning, supports_parallel_tool_calls);
 }
 
 void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
                                              const std::string &       fun_name_needle,
                                              const std::string &       arg_name_needle,
-                                             const analyze_reasoning & reasoning) {
+                                             const analyze_reasoning & reasoning,
+                                             bool                      supports_parallel_tool_calls) {
     if (fun_name_needle.empty() || arg_name_needle.empty() || haystack.empty()) {
         return;
     }
 
-    enum class json_quote_style { NONE, DOUBLE_QUOTES, SINGLE_QUOTES };
-
-    auto in_json_haystack = [&haystack](const std::string & needle) -> json_quote_style {
+    auto in_json_haystack = [&haystack](const std::string & needle) -> bool {
         auto parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
             return p.choice({ p.literal("{"), p.literal(":") }) << p.choice({
-                p.tag("sq", p.literal("'") + p.literal(needle) + p.literal("'")),
                 p.tag("dq", p.literal("\"") + p.literal(needle) + p.literal("\"")) });
         });
         auto result = parser.parse_anywhere_and_extract(haystack);
-        if (!result.result.success()) {
-            return json_quote_style::NONE;
-        }
-        return result.tags.count("sq") && !result.tags["sq"].empty()
-            ? json_quote_style::SINGLE_QUOTES
-            : json_quote_style::DOUBLE_QUOTES;
+        return result.result.success();
     };
 
     auto fun_quote = in_json_haystack(fun_name_needle);
     auto arg_quote = in_json_haystack(arg_name_needle);
 
-    if (fun_quote != json_quote_style::NONE) {
+    if (fun_quote) {
         // no need to check further, we're in JSON land
         format.mode = tool_format::JSON_NATIVE;
-        format.uses_python_dicts = (fun_quote == json_quote_style::SINGLE_QUOTES);
-    } else if (arg_quote != json_quote_style::NONE) {
+    } else if (arg_quote) {
         format.mode = tool_format::TAG_WITH_JSON;
-        format.uses_python_dicts = (arg_quote == json_quote_style::SINGLE_QUOTES);
     } else {
         format.mode = tool_format::TAG_WITH_TAGGED;
     }
@@ -648,6 +661,9 @@ void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
 
     if (format.mode == tool_format::JSON_NATIVE) {
         analyze_tool_call_format_json_native(clean_haystack, fun_name_needle, arg_name_needle);
+        if (supports_parallel_tool_calls) {
+            analyze_json_native_parallel_calls();
+        }
     } else {
         analyze_tool_call_format_non_json(clean_haystack, fun_name_needle);
     }
@@ -656,6 +672,42 @@ void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
     format.per_call_end = trim_whitespace(format.per_call_end);
 }
 
+void analyze_tools::analyze_json_native_parallel_calls() {
+    json assistant_one_tool = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    json assistant_two_tools = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call, second_tool_call }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_one_tool });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_tools }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    std::string & second_call = comparison->diff.right;
+    if (!format.section_start.empty() && second_call.find(format.section_start) != std::string::npos) {
+        format.per_call_start = format.section_start;
+        format.per_call_end = format.section_end;
+        format.section_start.clear();
+        format.section_end.clear();
+    }
+}
+
 void analyze_tools::analyze_tool_call_format_json_native(const std::string & clean_haystack,
                                                          const std::string & fun_name_needle,
                                                          const std::string & arg_name_needle) {
@@ -951,8 +1003,6 @@ void analyze_tools::extract_function_markers() {
 }
 
 void analyze_tools::analyze_arguments() {
-    LOG_DBG(ANSI_ORANGE "Phase 4: Argument analysis\n" ANSI_RESET);
-
     extract_argument_name_markers();
     extract_argument_value_markers();
 }
@@ -1161,7 +1211,7 @@ void analyze_tools::extract_args_markers() {
 
     const auto & diff = comparison->diff;
 
-    if (format.mode != tool_format::JSON_NATIVE) {
+    if (format.mode == tool_format::JSON_NATIVE) {
         std::string prefix_marker = !format.section_start.empty() ? format.section_start : format.per_call_start;
         std::string suffix_marker = !format.section_end.empty() ? format.section_end : format.per_call_end;
         // these might happen earlier in the tools section as an example or somewhere else, so we need to find the closest ones
@@ -1183,6 +1233,10 @@ void analyze_tools::extract_args_markers() {
             if (find_fun != std::string::npos) {
                 args_start = args_start.substr(find_fun + FUN_FIRST.size(), args_start.size() - find_fun - FUN_FIRST.size());
             }
+            size_t find_call_id = args_start.find(CALL_ID_001);
+            if (find_call_id != std::string::npos) {
+                args_start = args_start.substr(find_call_id + CALL_ID_001.size(), args_start.size() - find_call_id - CALL_ID_001.size());
+            }
             arguments.start = args_start;
             arguments.end   = args_end;
         }
@@ -1222,8 +1276,8 @@ void analyze_tools::extract_call_id_markers() {
         return;
     }
 
-    std::string id_value_1 = "call00001";
-    std::string id_value_2 = "call99999";
+    std::string id_value_1 = CALL_ID_001;
+    std::string id_value_2 = CALL_ID_999;
 
     size_t common_id_prefix_len = 0;
     for (size_t i = 0; i < std::min(id_value_1.length(), id_value_2.length()); i++) {
@@ -1322,6 +1376,14 @@ void analyze_tools::extract_call_id_markers() {
         call_id.suffix = find_first_marker(before_func);
     }
 
+    if (call_id.prefix == arguments.end) {
+        call_id.prefix = "";
+    }
+
+    if (call_id.suffix == arguments.start) {
+        call_id.suffix = "";
+    }
+
     // When call_id is detected, per_call_end may have been incorrectly set to include
     // the call_id_suffix and sample args. Clear it if it starts with call_id_suffix.
     if (call_id.pos != call_id_position::NONE && !call_id.suffix.empty() &&
diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp
index 4c5bb6218dc6cb8f576612f38466b6df85252f19..56eb567df0a4bd2f29d09237db6be8c5efdb4ecd 100644
--- a/common/chat-peg-parser.cpp
+++ b/common/chat-peg-parser.cpp
@@ -214,6 +214,10 @@ std::string & common_chat_peg_mapper::args_target() {
     return (current_tool && !current_tool->name.empty()) ? current_tool->arguments : args_buffer;
 }
 
+std::string common_chat_peg_mapper::normalize_container_value(const std::string & input) {
+    return normalize_quotes_to_json(input);
+}
+
 void common_chat_peg_mapper::from_ast(const common_peg_ast_arena &    arena,
                                       const common_peg_parse_result & parse_result_arg) {
     arena.visit(parse_result_arg, [this](const common_peg_ast_node & node) { map(node); });
@@ -229,6 +233,20 @@ void common_chat_peg_mapper::from_ast(const common_peg_ast_arena &    arena,
         result.tool_calls.push_back(pending_tool_call.value());
         pending_tool_call.reset();
     }
+
+    // Discard whitespace-only reasoning content (e.g. from <think></think> prefill)
+    if (!result.reasoning_content.empty()) {
+        bool all_whitespace = true;
+        for (char c : result.reasoning_content) {
+            if (c != ' ' && c != '\n' && c != '\r' && c != '\t') {
+                all_whitespace = false;
+                break;
+            }
+        }
+        if (all_whitespace) {
+            result.reasoning_content.clear();
+        }
+    }
 }
 
 void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
@@ -338,7 +356,7 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
             // For potential containers, normalize Python-style single quotes to JSON double quotes
             bool is_potential_container = value_content[0] == '[' || value_content[0] == '{';
             if (is_potential_container) {
-                value_content = normalize_quotes_to_json(value_content);
+                value_content = normalize_container_value(value_content);
             }
 
             // Try to parse as JSON value (number, bool, null, object, array)
@@ -658,7 +676,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
         ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         auto nested_name = literal("\"" + nested_name_field + "\"") + space() + literal(":") + space() +
-                          literal("\"") + tool_name(literal(name)) + literal("\"");
+                          atomic(literal("\"") + tool_name(literal(name)) + literal("\""));
         auto nested_args = literal("\"" + nested_args_field + "\"") + space() + literal(":") + space() +
                           tool_args(schema(json(), "tool-" + name + "-schema", params));
 
@@ -726,7 +744,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
         ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         auto tool_name_ = name_key_parser + space() + literal(":") + space() +
-                         literal("\"") + tool_name(literal(name)) + literal("\"");
+                         atomic(literal("\"") + tool_name(literal(name)) + literal("\""));
         auto tool_args_ = args_key_parser + space() + literal(":") + space() +
                          tool_args(schema(json(), "tool-" + name + "-schema", params));
 
@@ -788,6 +806,16 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
     return tool_choices;
 }
 
+common_peg_parser common_chat_peg_builder::prefix(const std::string & s, const std::string & delimiter) {
+    if (s.empty()) {
+        return eps();
+    }
+    if (delimiter.empty()) {
+        return literal(s);
+    }
+    return literal(s.substr(0, s.rfind(delimiter)));
+}
+
 common_peg_parser common_chat_peg_builder::standard_json_tools(
                                                        const std::string &              section_start,
                                                        const std::string &              section_end,
@@ -837,3 +865,143 @@ common_peg_parser common_chat_peg_builder::standard_json_tools(
 
     return force_tool_calls ? section : optional(section);
 }
+
+void common_chat_peg_gemma4_mapper::from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result) {
+    for (const auto & node : result.nodes) {
+        visit(arena, node);
+    }
+}
+
+static std::string gemma4_to_json(const common_peg_ast_arena & arena, common_peg_ast_id id) {
+    const auto & node = arena.get(id);
+
+    if (node.text.empty()) {
+        return "";
+    }
+
+    if (node.rule == "gemma4-number" || node.rule == "gemma4-bool" || node.rule == "gemma4-null") {
+        return std::string(node.text);
+    }
+
+    if (node.rule == "gemma4-string-content") {
+        return escape_json_string_inner(std::string(node.text));
+    }
+
+    if (node.rule == "gemma4-string") {
+        std::string result = "\"";
+        if (!node.children.empty()) {
+            result += gemma4_to_json(arena, node.children[0]);
+            if (!node.is_partial) {
+                result += "\"";
+            }
+        }
+        return result;
+    }
+
+    if (node.rule == "gemma4-array") {
+        std::string result = "[";
+
+        bool add_comma = false;
+        for (auto child_id : node.children) {
+            if (add_comma) {
+                result += ',';
+            }
+            add_comma = true;
+            result += gemma4_to_json(arena, child_id);
+        }
+
+        if (!node.is_partial) {
+            result += ']';
+        }
+        return result;
+    }
+
+    if (node.rule == "gemma4-dict-key-name") {
+        return std::string(node.text);
+    }
+
+    if (node.rule == "gemma4-dict-key") {
+        std::string result = "\"";
+        if (!node.children.empty()) {
+            result += escape_json_string_inner(gemma4_to_json(arena, node.children[0]));
+        }
+        if (!node.is_partial) {
+            result += "\":";
+        }
+        return result;
+    }
+
+    if (node.rule == "gemma4-dict-kv") {
+        std::string result;
+        for (auto child_id : node.children) {
+            result += gemma4_to_json(arena, child_id);
+        }
+        return result;
+    }
+
+    if (node.rule == "gemma4-dict") {
+        std::string result = "{";
+
+        bool add_comma = false;
+        for (auto child_id : node.children) {
+            if (add_comma) {
+                result += ',';
+            }
+            add_comma = true;
+            result += gemma4_to_json(arena, child_id);
+        }
+
+        if (!node.is_partial) {
+            result += '}';
+        }
+        return result;
+    }
+
+    if (node.rule == "gemma4-value") {
+        if (!node.children.empty()) {
+            return gemma4_to_json(arena, node.children[0]);
+        }
+        return "";
+    }
+
+    return "";
+}
+
+void common_chat_peg_gemma4_mapper::visit(const common_peg_ast_arena & arena, common_peg_ast_id id) {
+    const auto & node = arena.get(id);
+
+    if (node.tag == "reasoning") {
+        result.reasoning_content += std::string(node.text);
+        return;
+    }
+
+    if (node.tag == "content") {
+        result.content += std::string(node.text);
+        return;
+    }
+
+    if (node.tag == "tool") {
+        auto name_id = arena.find_by_tag(node, "tool-name");
+        auto args_id = arena.find_by_tag(node, "tool-args");
+
+        if (name_id != COMMON_PEG_INVALID_AST_ID && args_id != COMMON_PEG_INVALID_AST_ID) {
+            const auto & name_node = arena.get(name_id);
+            const auto & args_node = arena.get(args_id);
+
+            if (!name_node.is_partial) {
+                common_chat_tool_call call;
+                call.name = std::string(name_node.text);
+                if (!args_node.children.empty()) {
+                    call.arguments = gemma4_to_json(arena, args_node.children[0]);
+                }
+                result.tool_calls.push_back(call);
+            }
+        }
+
+        return;
+    }
+
+    for (auto child_id : node.children) {
+        visit(arena, child_id);
+    }
+}
diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h
index a497508d2f254aee7d319772238b230959605969..1ea3eb7eb862526ab98fc566bdac76804e37b225 100644
--- a/common/chat-peg-parser.h
+++ b/common/chat-peg-parser.h
@@ -17,7 +17,9 @@ class common_chat_peg_mapper {
 
     virtual void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result);
     virtual void map(const common_peg_ast_node & node);
-    private:
+  protected:
+    virtual std::string normalize_container_value(const std::string & input);
+  private:
       // Tool call handling state
       std::optional<common_chat_tool_call> pending_tool_call;  // Tool call waiting for name
       common_chat_tool_call *              current_tool          = nullptr;
@@ -30,6 +32,14 @@ class common_chat_peg_mapper {
       std::string & args_target();
 };
 
+class common_chat_peg_gemma4_mapper : public common_chat_peg_mapper {
+  public:
+    common_chat_peg_gemma4_mapper(common_chat_msg & msg) : common_chat_peg_mapper(msg) {}
+    virtual void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result);
+  private:
+    void visit(const common_peg_ast_arena & arena, common_peg_ast_id id);
+};
+
 struct content_structure;
 struct tool_call_structure;
 
@@ -82,6 +92,10 @@ class common_chat_peg_builder : public common_peg_parser_builder {
     common_peg_parser tool_arg_string_value(const common_peg_parser & p) { return tag(TOOL_ARG_STRING_VALUE, p); }
     common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_VALUE, p)); }
 
+
+    // Return a parser that parses the prefix of a string, up to a given delimiter.
+    common_peg_parser prefix(const std::string & s, const std::string & delimiter = {});
+
     // Legacy-compatible helper for building standard JSON tool calls
     // Used by tests and manual parsers
     // name_key/args_key: JSON key names for function name and arguments
diff --git a/common/chat.cpp b/common/chat.cpp
index 6a9c0845f2144ba09fad5f0aadf5020f6e719c46..e424206af8632811433d1cbcf94ce9bb56d93a70 100644
--- a/common/chat.cpp
+++ b/common/chat.cpp
@@ -1,5 +1,6 @@
 #include "chat.h"
 
+#include "chat-auto-parser-helpers.h"
 #include "chat-auto-parser.h"
 #include "chat-peg-parser.h"
 #include "common.h"
@@ -12,6 +13,8 @@
 #include "jinja/caps.h"
 #include "peg-parser.h"
 
+#include "nlohmann/json.hpp"
+
 #include <cstdio>
 #include <cstdlib>
 #include <ctime>
@@ -22,6 +25,7 @@
 #include <sstream>
 #include <stdexcept>
 #include <string>
+#include <utility>
 #include <vector>
 
 using json = nlohmann::ordered_json;
@@ -219,7 +223,7 @@ using chat_template_caps = jinja::caps;
 struct common_chat_templates {
     bool add_bos;
     bool add_eos;
-    bool has_explicit_template;  // Model had builtin template or template overridde was specified.
+    bool has_explicit_template;  // Model had builtin template or template overridden was specified.
     std::unique_ptr<common_chat_template> template_default;  // always set (defaults to chatml)
     std::unique_ptr<common_chat_template> template_tool_use;
 };
@@ -692,6 +696,8 @@ const char * common_chat_format_name(common_chat_format format) {
             return "peg-simple";
         case COMMON_CHAT_FORMAT_PEG_NATIVE:
             return "peg-native";
+        case COMMON_CHAT_FORMAT_PEG_GEMMA4:
+            return "peg-gemma4";
         default:
             throw std::runtime_error("Unknown chat format");
     }
@@ -758,12 +764,12 @@ static void foreach_parameter(const json &
     }
 }
 
-std::string common_chat_template_direct_apply(
+static std::string common_chat_template_direct_apply_impl(
     const common_chat_template & tmpl,
-    const autoparser::templates_params & inputs,
-    const std::optional<json> & messages_override,
-    const std::optional<json> & tools_override,
-    const std::optional<json> & additional_context) {
+    const autoparser::generation_params & inputs,
+    const std::optional<json> & messages_override = std::nullopt,
+    const std::optional<json> & tools_override = std::nullopt,
+    const std::optional<json> & additional_context = std::nullopt) {
     jinja::context ctx(tmpl.source());
 
     nlohmann::ordered_json inp = nlohmann::ordered_json{
@@ -810,8 +816,14 @@ std::string common_chat_template_direct_apply(
     return result;
 }
 
+std::string common_chat_template_direct_apply(
+    const common_chat_template & tmpl,
+    const autoparser::generation_params & inputs) {
+    return common_chat_template_direct_apply_impl(tmpl, inputs, std::nullopt, std::nullopt, std::nullopt);
+}
+
 static common_chat_params common_chat_params_init_ministral_3(const common_chat_template &    tmpl,
-                                                              const autoparser::templates_params & inputs) {
+                                                              const autoparser::generation_params & inputs) {
     common_chat_params data;
 
     // Build up messages to follow the format: https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512/blob/main/chat_template.jinja
@@ -853,14 +865,15 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
         adjusted_messages.push_back(adjusted);
     }
 
-    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
-    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
-    auto include_grammar   = true;
+    auto has_tools            = inputs.tools.is_array() && !inputs.tools.empty();
+    auto has_response_format  = inputs.json_schema.is_object() && !inputs.json_schema.empty();
+    auto extract_reasoning    = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar      = true;
 
     data.supports_thinking  = true;
     data.thinking_start_tag = "[THINK]";
     data.thinking_end_tag   = "[/THINK]";
-    data.prompt            = common_chat_template_direct_apply(tmpl, inputs, /* messages_override = */ adjusted_messages);
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs, /* messages_override = */ adjusted_messages);
     data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.preserved_tokens  = {
         "[THINK]",
@@ -870,14 +883,14 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
     };
 
     auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto generation_prompt = p.prefix(inputs.generation_prompt, "[THINK]");
         auto reasoning =
             extract_reasoning ? p.optional("[THINK]" + p.reasoning(p.until("[/THINK]")) + "[/THINK]") : p.eps();
 
         // Response format parser
-        if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) {
+        if (has_response_format) {
             // Ministral wants to emit json surrounded by code fences
-            return reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema))
-                             << "```";
+            return generation_prompt + (reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) << "```");
         }
 
         // Tool call parser
@@ -897,12 +910,12 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
             auto max_calls  = inputs.parallel_tool_calls ? -1 : 1;
             auto tool_calls = p.trigger_rule("tool-call", p.repeat("[TOOL_CALLS]" + tool_choice, min_calls, max_calls));
 
-            return reasoning << p.content(p.until("[TOOL_CALLS]")) << tool_calls;
+            return generation_prompt + (reasoning << p.content(p.until("[TOOL_CALLS]")) << tool_calls);
         }
 
         // Content only parser
         include_grammar = false;
-        return reasoning << p.content(p.rest());
+        return generation_prompt + (reasoning << p.content(p.rest()));
     });
 
     data.parser = parser.save();
@@ -916,6 +929,10 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
                 auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -928,7 +945,7 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
 }
 
 static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template &    tmpl,
-                                                          const autoparser::templates_params & inputs) {
+                                                          const autoparser::generation_params & inputs) {
     common_chat_params data;
 
     // Copy reasoning to the "thinking" field as expected by the gpt-oss template
@@ -936,12 +953,14 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
     for (auto msg : inputs.messages) {
         if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) {
             msg["thinking"] = msg.at("reasoning_content");
-            msg.erase("content");
+            if (msg.contains("tool_calls") && msg.at("tool_calls").is_array() && !msg.at("tool_calls").empty()) {
+                msg.erase("content");
+            }
         }
         adjusted_messages.push_back(msg);
     }
 
-    auto prompt = common_chat_template_direct_apply(tmpl, inputs, /* messages_override= */ adjusted_messages);
+    auto prompt = common_chat_template_direct_apply_impl(tmpl, inputs, /* messages_override= */ adjusted_messages);
 
     // Check if we need to replace the return token with end token during
     // inference and without generation prompt. For more details see:
@@ -967,6 +986,7 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
     auto has_tools           = inputs.tools.is_array() && !inputs.tools.empty();
     auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object();
     auto include_grammar     = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE);
+    auto extract_reasoning   = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
 
     auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
         auto start           = p.rule("start", p.literal("<|start|>assistant"));
@@ -975,18 +995,32 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
         auto channel         = p.literal("<|channel|>") + (p.literal("commentary") | p.literal("analysis"));
         auto constrain_type  = p.chars("[A-Za-z0-9_-]", 1, -1);
 
-        auto analysis = p.rule("analysis", p.literal("<|channel|>analysis<|message|>") + p.reasoning(content) + end);
+        // Occasionally, gpt-oss-20b will prefix channels with this commentary
+        auto stray_commentary = p.optional(p.literal("<|channel|>commentary") + p.optional(p.literal(" to=assistant")));
+        auto start_analysis = stray_commentary + p.literal("<|channel|>analysis<|message|>");
+
+        if (extract_reasoning) {
+            p.rule("analysis", start_analysis + p.reasoning(content) + end);
+        } else {
+            p.rule("analysis", p.content(start_analysis + content + end));
+        }
+
+        auto analysis = p.ref("analysis");
         auto preamble = p.rule("preamble", p.literal("<|channel|>commentary<|message|>") + p.content(content) + end);
-        auto final_msg = p.rule("final", p.literal("<|channel|>final<|message|>") + p.content(content));
+        auto final_msg = p.rule("final", stray_commentary + p.literal("<|channel|>final<|message|>") + p.content(content));
+
+        // Consume any unsolicited tool calls, e.g. builtin functions
+        auto unsolicited = p.rule("unsolicited", p.atomic(p.optional(channel) + p.literal(" to=") + content + end));
+
         auto any = p.rule("any", preamble | analysis);
 
         if (has_response_format) {
-            auto constraint = p.optional(p.space() + p.literal("<|constrain|>") + constrain_type);
+            auto constraint = p.optional(p.space() + p.optional(p.literal("<|constrain|>")) + constrain_type);
             auto response_format = p.rule("response-format",
                 p.literal("<|channel|>final") + constraint + p.literal("<|message|>") +
                 p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)));
 
-            return response_format | (analysis + p.zero_or_more(start + analysis) + start + response_format);
+            return p.zero_or_more(start + analysis) + start + response_format;
         }
 
         if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
@@ -998,7 +1032,7 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
                 const auto & params   = function.at("parameters");
 
                 auto func_name  = p.literal(" to=functions.") + p.tool_name(p.literal(name));
-                auto constraint = p.optional(p.space() + p.literal("<|constrain|>") + constrain_type);
+                auto constraint = p.optional(p.space() + p.optional(p.literal("<|constrain|>")) + constrain_type);
                 auto args       = p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", params));
 
                 // recipient in role header
@@ -1015,13 +1049,13 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
             auto tool_call  = p.trigger_rule("tool-call", tool_choice);
 
             if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) {
-                return tool_call | ( any + p.zero_or_more(start + any) + start + tool_call);
+                return p.zero_or_more(start + any) + start + tool_call;
             }
 
-            return tool_call | final_msg | (any + p.zero_or_more(start + any) + start + (tool_call | final_msg));
+            return p.zero_or_more(start + any) + start + (tool_call | final_msg);
         }
 
-        return final_msg | (any + p.zero_or_more(start + any) + start + final_msg);
+        return p.zero_or_more(start + any) + start + (final_msg | unsolicited);
     });
 
     data.parser = parser.save();
@@ -1034,11 +1068,16 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
                 auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
         data.grammar_triggers = {
             { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "^\\s+to$" },
+            { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "^<\\|channel\\|>(?:commentary|analysis)\\s+to=functions$" },
             { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "<\\|start\\|>assistant(\\s+to)" },
             { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "<\\|start\\|>assistant(<\\|channel\\|>(?:commentary|analysis)\\s+to)" }
         };
@@ -1047,12 +1086,156 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
     return data;
 }
 
+static common_chat_params common_chat_params_init_gemma4(const common_chat_template &    tmpl,
+                                                         const autoparser::generation_params & inputs) {
+    common_chat_params data;
+
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
+
+    if (inputs.add_generation_prompt && string_ends_with(data.prompt, "<turn|>\n")) {
+        // This may happen if the model generates content + tool_call, the
+        // template does not add the model's next turn and confuses the model
+        // from emitting its proper reasoning token sequence.
+        data.prompt += "<|turn>model\n";
+    }
+
+    data.format            = COMMON_CHAT_FORMAT_PEG_GEMMA4;
+    data.supports_thinking  = true;
+    data.thinking_start_tag = "<|channel>thought";
+    data.thinking_end_tag   = "<channel|>";
+
+    data.preserved_tokens = {
+        "<|channel>",
+        "<channel|>",
+        "<|tool_call>",
+        "<tool_call|>",
+        "<|turn>",
+    };
+
+    auto has_tools           = inputs.tools.is_array() && !inputs.tools.empty();
+    auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object();
+    auto include_grammar     = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE);
+    auto extract_reasoning   = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto start = p.rule("start", p.prefix(inputs.generation_prompt, "<|channel>"));
+
+        if (extract_reasoning) {
+            p.rule("thought", p.literal("<|channel>thought") + p.space() + p.reasoning(p.until("<channel|>")) + p.literal("<channel|>"));
+        } else {
+            p.rule("thought", p.content(p.literal("<|channel>thought") + p.space() + p.until("<channel|>") + p.literal("<channel|>")));
+        }
+
+        auto consume_empty_channels = p.gbnf(p.zero_or_more(p.literal("<|channel>") + p.negate(p.literal("thought"))), "");
+        auto thought = (p.peek(p.literal("<|channel>")) + consume_empty_channels + p.ref("thought")) | p.negate(p.literal("<|channel>"));
+
+        if (has_response_format) {
+            auto response_format = p.literal("```json") <<
+                p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)) <<
+                p.literal("```");
+            return start + p.optional(thought) + response_format;
+        }
+
+        if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
+            // Gemma4 tool calling syntax
+            // Rules should match traversal logic in gemma4_to_json()
+            p.rule("gemma4-string-content", p.until("<|\"|>"));
+            p.rule("gemma4-string", p.literal("<|\"|>") + p.ref("gemma4-string-content") + p.literal("<|\"|>"));
+            p.rule("gemma4-bool", p.json_bool());
+            p.rule("gemma4-null", p.json_null());
+            p.rule("gemma4-number", p.json_number());
+            p.rule("gemma4-dict-key", p.rule("gemma4-dict-key-name", p.chars("[^:}]", 1, -1)) + p.literal(":"));
+            p.rule("gemma4-dict-kv", p.ref("gemma4-dict-key") + p.space() + p.ref("gemma4-value"));
+            p.rule("gemma4-dict", [&]() {
+                auto ws = p.space();
+                auto member = p.ref("gemma4-dict-kv");
+                auto members = p.sequence({member, p.zero_or_more(p.sequence({p.literal(","), ws, member}))});
+                return p.sequence({
+                    p.literal("{"), ws,
+                    p.choice({p.literal("}"), p.sequence({members, ws, p.literal("}")})})
+                });
+            });
+            p.rule("gemma4-array", [&]() {
+                auto ws = p.space();
+                auto value = p.ref("gemma4-value");
+                auto elements = p.sequence({value, p.zero_or_more(p.sequence({p.literal(","), ws, value}))});
+                return p.sequence({
+                    p.literal("["), ws,
+                    p.choice({p.literal("]"), p.sequence({elements, ws, p.literal("]")})})
+                });
+            });
+            p.rule("gemma4-value", [&]() {
+                return p.choice({
+                    p.ref("gemma4-string"), p.ref("gemma4-dict"), p.ref("gemma4-array"),
+                    p.ref("gemma4-number"), p.ref("gemma4-bool"), p.ref("gemma4-null")
+                });
+            });
+
+            auto tool_choice = p.choice();
+
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string  name     = function.at("name");
+                // TODO @aldehir : need to extend json-schema-to-grammar to produce more than JSON rules
+                // const auto & params   = function.at("parameters");
+
+                tool_choice |= p.rule("tool-" + name, p.tool(p.sequence({
+                    p.tool_open(p.tool_name(p.literal(name)) + p.peek(p.literal("{"))),
+                    p.tool_args(p.ref("gemma4-dict")),
+                })));
+            });
+
+            auto tool_call = p.trigger_rule("tool-call", p.repeat(
+                "<|tool_call>call:" + tool_choice + "<tool_call|>",
+                /* min = */ inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0,
+                /* max = */ inputs.parallel_tool_calls ? -1 : 1
+            ));
+
+            auto scan_to_toolcall = p.rule("scan-to-toolcall", p.until("<|tool_call>"));
+            auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<channel|>", "<|tool_call>"})));
+            auto message = p.rule("message", thought + content);
+            return start + p.zero_or_more(message) + scan_to_toolcall + tool_call;
+        }
+
+        // Gemma 4 may emit an extra <|channel>thought\n<channel|> at the end of the content. It may
+        // also emit a single trailing <channel|> token. Consume all complete reasoning blocks and
+        // then stop at the first unmatched <channel|> token.
+        auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<channel|>"})));
+        auto message = p.rule("message", thought + content);
+        return start + p.one_or_more(message);
+    });
+
+    data.parser = parser.save();
+
+    if (include_grammar) {
+        data.grammar_lazy = !(has_response_format || (has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED));
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.at("parameters");
+                builder.resolve_refs(schema);
+            });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
+
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|tool_call>" },
+        };
+    }
+
+    return data;
+}
+
 // Functionary v3.2 - uses recipient-based format: >>>recipient\n{content}
 static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template &    tmpl,
-                                                                   const autoparser::templates_params & inputs) {
+                                                                   const autoparser::generation_params & inputs) {
     common_chat_params data;
 
-    data.prompt           = common_chat_template_direct_apply(tmpl, inputs);
+    data.prompt           = common_chat_template_direct_apply_impl(tmpl, inputs);
     data.format           = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.preserved_tokens = {
         ">>>all",
@@ -1070,13 +1253,14 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_
         // Build content parser for >>>all\n{content}
         // When tools are present, content stops before the next ">>>" (tool call)
         // When no tools, content goes until end
-        auto content_until_tool = p.literal(">>>all\n") + p.content(p.until(">>>"));
-        auto content_until_end  = p.literal(">>>all\n") + p.content(p.rest());
+        auto content_until_tool = p.literal("all\n") + p.content(p.until(">>>"));
+        auto content_until_end  = p.literal("all\n") + p.content(p.rest());
+        auto generation_prompt  = p.literal(inputs.generation_prompt);
 
         // If no tools or tool_choice is NONE, just parse content
         if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
             // When no tools, just match the prefix and capture everything after
-            return content_until_end + p.end();
+            return generation_prompt + content_until_end + p.end();
         }
 
         // Build tool call parsers for each available function
@@ -1088,7 +1272,7 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_
 
             // Tool format: >>>function_name\n{json_args}
             auto tool_parser = p.tool(
-                p.tool_open(p.literal(">>>") + p.tool_name(p.literal(name)) + p.literal("\n")) +
+                p.tool_open(p.tool_name(p.literal(name)) + p.literal("\n")) +
                 p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))
             );
 
@@ -1099,17 +1283,20 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_
         auto tools_only = p.trigger_rule("tools", p.one_or_more(tool_choice));
         auto content_and_tools = content_until_tool + tools_only;
 
+        auto ret = p.eps();
         if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) {
             if (inputs.parallel_tool_calls) {
-                return p.choice({ content_and_tools, tools_only }) + p.end();
+                ret = p.choice({ content_and_tools, tools_only }) + p.end();
+            } else {
+                ret = p.choice({ content_until_tool + tool_choice, tools_only }) + p.end();
             }
-            return p.choice({ content_until_tool + tool_choice, tools_only }) + p.end();
-        }
-        if (inputs.parallel_tool_calls) {
-            return p.choice({ content_and_tools, content_only, tools_only }) + p.end();
+        } else if (inputs.parallel_tool_calls) {
+            ret = p.choice({ content_and_tools, content_only, tools_only }) + p.end();
+        } else {
+            auto content_and_tool = content_until_tool + tool_choice;
+            ret = p.choice({ content_and_tool, content_only, tool_choice }) + p.end();
         }
-        auto content_and_tool = content_until_tool + tool_choice;
-        return p.choice({ content_and_tool, content_only, tool_choice }) + p.end();
+        return generation_prompt + ret;
     });
 
     data.parser = parser.save();
@@ -1139,14 +1326,12 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_
 // Kimi K2 Thinking - uses unique tool call ID format: functions.<name>:<index>
 // The ID contains both the function name and an incrementing counter
 static common_chat_params common_chat_params_init_kimi_k2(const common_chat_template &    tmpl,
-                                                          const autoparser::templates_params & inputs) {
+                                                          const autoparser::generation_params & inputs) {
     common_chat_params data;
 
-    data.prompt             = common_chat_template_direct_apply(tmpl, inputs);
+    data.prompt             = common_chat_template_direct_apply_impl(tmpl, inputs);
     data.format             = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.supports_thinking  = true;
-    data.thinking_start_tag = "<think>";
-    data.thinking_end_tag   = "</think>";
     data.preserved_tokens  = {
         "<|tool_calls_section_begin|>",
         "<|tool_calls_section_end|>",
@@ -1161,6 +1346,18 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp
     auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
     auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
 
+    const std::string SECTION_BEGIN = "<|tool_calls_section_begin|>";
+    const std::string SECTION_END   = "<|tool_calls_section_end|>";
+    const std::string CALL_BEGIN    = "<|tool_call_begin|>";
+    const std::string ARGS_BEGIN    = "<|tool_call_argument_begin|>";
+    const std::string CALL_END      = "<|tool_call_end|>";
+
+    const std::string THINK_START = "<think>";
+    const std::string THINK_END   = "</think>";
+
+    data.thinking_start_tag = THINK_START;
+    data.thinking_end_tag   = THINK_END;
+
     auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
         // Kimi K2 Thinking format:
         // - Reasoning: <think>{reasoning}</think>
@@ -1172,16 +1369,7 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp
         //   <|tool_calls_section_end|>
         // The ID format is: functions.<function_name>:<counter> where counter is 0, 1, 2, ...
 
-                // Tool call markers
-        const std::string SECTION_BEGIN = "<|tool_calls_section_begin|>";
-        const std::string SECTION_END   = "<|tool_calls_section_end|>";
-        const std::string CALL_BEGIN    = "<|tool_call_begin|>";
-        const std::string ARGS_BEGIN    = "<|tool_call_argument_begin|>";
-        const std::string CALL_END      = "<|tool_call_end|>";
-
-        const std::string THINK_START   = "<think>";
-        const std::string THINK_END     = "</think>";
-
+        // Tool call markers
         auto end = p.end();
 
         // Note: this model is CRAZY. It can diverge from its supposed tool calling pattern in so many ways it's not funny.
@@ -1189,11 +1377,12 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp
         auto reasoning = extract_reasoning ? p.optional(THINK_START + p.reasoning(
             p.until_one_of({ THINK_END, "<|tool_calls_section_begin|>", "<|tool_call_begin|>" })) +
             p.optional(p.literal(THINK_END))) : p.eps();
+        auto generation_prompt = p.prefix(inputs.generation_prompt, THINK_START);
 
 
         // Content only parser (no tools)
         if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
-            return reasoning + p.content(p.rest()) + end;
+            return generation_prompt + reasoning + p.content(p.rest()) + end;
         }
 
         // Build tool call parsers for each available function
@@ -1229,7 +1418,7 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp
 
         auto content_before_tools = p.content(p.until_one_of({ SECTION_BEGIN, CALL_BEGIN }));
 
-        return reasoning + content_before_tools + tool_calls + end;
+        return generation_prompt + reasoning + content_before_tools + tool_calls + end;
     });
 
     data.parser = parser.save();
@@ -1253,16 +1442,17 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp
     return data;
 }
 
-// LFM2 format:
-// - Reasoning: <think>{reasoning}</think> (optional, only if enable_thinking is true)
-// - Content: text after reasoning (optional)
-// - Tool calls: <|tool_call_start|>[function_name(arg1="value1", arg2="value2")]<|tool_call_end|>
-// Tool calls can appear multiple times (parallel tool calls)
+// LFM2 format: uses <|tool_list_start|>[...]<|tool_list_end|> in system prompt
+// and <|tool_call_start|>[name(arg="val")]<|tool_call_end|> for tool calls.
+// - Reasoning: <think>{reasoning}</think> (optional)
+// - Content: text before a tool call (optional)
+// - Tool calls: Python-style, e.g. [function_name(arg1="value1", arg2="value2")]
+//   Tool calls can appear multiple times (parallel tool calls supported)
 static common_chat_params common_chat_params_init_lfm2(const common_chat_template &    tmpl,
-                                                       const autoparser::templates_params & inputs) {
+                                                       const autoparser::generation_params & inputs) {
     common_chat_params data;
 
-    data.prompt            = common_chat_template_direct_apply(tmpl, inputs);
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
     data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.supports_thinking = true;
     data.preserved_tokens  = {
@@ -1278,13 +1468,16 @@ static common_chat_params common_chat_params_init_lfm2(const common_chat_templat
     auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
     auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
 
-
     const std::string TOOL_CALL_START = "<|tool_call_start|>";
     const std::string TOOL_CALL_END   = "<|tool_call_end|>";
     const std::string THINK_START     = "<think>";
     const std::string THINK_END       = "</think>";
-    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
 
+    data.thinking_start_tag = THINK_START;
+    data.thinking_end_tag   = THINK_END;
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto generation_prompt = p.prefix(inputs.generation_prompt, THINK_START);
         auto end = p.end();
 
         auto reasoning = p.eps();
@@ -1293,11 +1486,11 @@ static common_chat_params common_chat_params_init_lfm2(const common_chat_templat
         }
 
         if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
-            return reasoning + p.content(p.rest()) + end;
+            return generation_prompt + reasoning + p.content(p.rest()) + end;
         }
-
         auto tool_calls = p.rule("tool-calls",
-            p.trigger_rule("tool-call", p.literal(TOOL_CALL_START) +
+            p.trigger_rule("tool-call",
+                p.literal(TOOL_CALL_START) +
                 p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls) +
                 p.literal(TOOL_CALL_END)
             )
@@ -1305,7 +1498,7 @@ static common_chat_params common_chat_params_init_lfm2(const common_chat_templat
 
         auto content = p.content(p.until(TOOL_CALL_START));
 
-        return reasoning + content + tool_calls + end;
+        return generation_prompt + reasoning + content + tool_calls + end;
     });
 
     data.parser = parser.save();
@@ -1325,17 +1518,91 @@ static common_chat_params common_chat_params_init_lfm2(const common_chat_templat
             { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, TOOL_CALL_START }
         };
     }
+    return data;
+}
+
+// LFM2.5 format: uses plain "List of tools: [...]" in system prompt, no wrapper tokens.
+// Tool calls are bare [name(arg="val")], though model may optionally emit <|tool_call_start|>.
+// - Reasoning: <think>{reasoning}</think> (optional)
+// - Content: text before a tool call (optional)
+// - Tool calls: Python-style, e.g. [function_name(arg1="value1", arg2="value2")]
+//   Tool calls can appear multiple times (parallel tool calls supported)
+static common_chat_params common_chat_params_init_lfm2_5(const common_chat_template &    tmpl,
+                                                         const autoparser::generation_params & inputs) {
+    common_chat_params data;
+
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking = true;
+    data.preserved_tokens  = {
+        "<|tool_call_start|>",
+        "<|tool_call_end|>",
+        "<think>",
+        "</think>",
+    };
+
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
+
+    const std::string THINK_START     = "<think>";
+    const std::string THINK_END       = "</think>";
+
+    data.thinking_start_tag = THINK_START;
+    data.thinking_end_tag   = THINK_END;
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto generation_prompt = p.prefix(inputs.generation_prompt, THINK_START);
+        auto end = p.end();
+
+        auto reasoning = p.eps();
+        if (extract_reasoning && inputs.enable_thinking) {
+            reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END);
+        }
+
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            return generation_prompt + reasoning + p.content(p.rest()) + end;
+        }
+
+        auto tool_calls = p.rule("tool-calls",
+            p.trigger_rule("tool-call",
+                p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls)
+            )
+        );
+
+        auto content = p.content(p.until_one_of({"<|tool_call_start|>", "["}));
+        auto maybe_start = p.optional(p.literal("<|tool_call_start|>"));
+        return generation_prompt + reasoning + content + maybe_start + tool_calls + end;
+    });
+
+    data.parser = parser.save();
+
+    if (include_grammar) {
+        data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.at("parameters");
+                builder.resolve_refs(schema);
+            });
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const std::string name = tool.at("function").at("name");
+            data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[" + name + "(" });
+        });
+    }
 
     return data;
 }
 
 static common_chat_params common_chat_params_init_gigachat_v3(
         const common_chat_template & tmpl,
-        const autoparser::templates_params & inputs) {
+        const autoparser::generation_params & inputs) {
 
     common_chat_params data;
 
-    data.prompt            = common_chat_template_direct_apply(tmpl, inputs);
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
     data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.supports_thinking = false;
     data.preserved_tokens  = {
@@ -1345,9 +1612,10 @@ static common_chat_params common_chat_params_init_gigachat_v3(
 
     auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
     auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
-    auto tool_call_start_prefix = "<|message_sep|>\n\nfunction call<|role_sep|>\n";
+    const auto *tool_call_start_prefix = "<|message_sep|>\n\nfunction call<|role_sep|>\n";
 
     auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto ret = p.eps();
         if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
             // Build a choice of all available tools
             auto tool_choice = p.choice();
@@ -1370,13 +1638,14 @@ static common_chat_params common_chat_params_init_gigachat_v3(
             auto tool_call = p.rule("tool-call", p.literal(tool_call_start_prefix) + tool_choice);
             auto tool_calls = p.trigger_rule("tool-call-root", p.repeat(tool_call, /* min = */ min_calls, /* max = */ max_calls));
 
-            return p.content(p.until("<|message_sep|>\n\n")) << tool_calls;
+            ret = p.content(p.until("<|message_sep|>\n\n")) << tool_calls;
+        } else {
+            // Content only parser
+            include_grammar = false;
+            ret = p.content(p.rest());
         }
 
-        // Content only parser
-        include_grammar = false;
-        return p.content(p.rest());
-
+        return p.literal(inputs.generation_prompt) + ret;
     });
 
     data.parser = parser.save();
@@ -1400,6 +1669,173 @@ static common_chat_params common_chat_params_init_gigachat_v3(
     return data;
 }
 
+static common_chat_params common_chat_params_init_deepseek_v3_2(const common_chat_template &    tmpl,
+                                                                 const autoparser::generation_params & inputs) {
+    common_chat_params data;
+
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking = true;
+    data.thinking_start_tag = "<think>";
+    data.thinking_end_tag   = "</think>";
+    data.preserved_tokens  = {
+        "｜DSML｜",
+        "<think>",
+        "</think>",
+    };
+
+    auto has_tools           = inputs.tools.is_array() && !inputs.tools.empty();
+    auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object();
+    auto extract_reasoning   = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar     = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE);
+
+    const std::string DSML         = "｜DSML｜";
+    const std::string THINK_START  = "<think>";
+    const std::string THINK_END    = "</think>";
+    const std::string FC_START     = "<" + DSML + "function_calls>";
+    const std::string FC_END       = "</" + DSML + "function_calls>";
+    const std::string INVOKE_START = "<" + DSML + "invoke";
+    const std::string INVOKE_END   = "</" + DSML + "invoke>";
+    const std::string PARAM_START  = "<" + DSML + "parameter";
+    const std::string PARAM_END    = "</" + DSML + "parameter>";
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto generation_prompt = p.prefix(inputs.generation_prompt, THINK_START);
+        auto end = p.end();
+
+        auto reasoning = p.eps();
+        if (extract_reasoning && inputs.enable_thinking) {
+            reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END);
+        } else if (extract_reasoning) {
+            // Thinking disabled but reasoning extraction requested: the generation prompt
+            // contains an empty <think></think> pair that must still be consumed.
+            reasoning = p.optional(p.literal(THINK_START) + p.until(THINK_END) + p.literal(THINK_END));
+        }
+
+        if (has_response_format) {
+            auto response_format = p.rule("response-format",
+                p.literal("```json") + p.space() +
+                p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)) +
+                p.space() + p.literal("```"));
+            return generation_prompt + reasoning + response_format + end;
+        }
+
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            return generation_prompt + reasoning + p.content(p.rest()) + end;
+        }
+
+        auto tool_choice = p.choice();
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const auto & function = tool.at("function");
+            std::string  name     = function.at("name");
+            auto params   = function.contains("parameters") ? function.at("parameters") : json::object();
+            const auto & props    = params.contains("properties") ? params.at("properties") : json::object();
+
+            std::set<std::string> required;
+            if (params.contains("required")) {
+                params.at("required").get_to(required);
+            }
+
+            auto schema_info = common_schema_info();
+            schema_info.resolve_refs(params);
+
+            std::vector<common_peg_parser> required_parsers;
+            std::vector<common_peg_parser> optional_parsers;
+            for (const auto & [param_name, param_schema] : props.items()) {
+                bool is_required = required.find(param_name) != required.end();
+                bool is_string   = schema_info.resolves_to_string(param_schema);
+
+                auto arg = p.tool_arg(
+                    p.tool_arg_open(
+                        p.literal(PARAM_START + " name=\"") +
+                        p.tool_arg_name(p.literal(param_name)) +
+                        p.literal("\" string=\"" + std::string(is_string ? "true" : "false") + "\">")) +
+                    (is_string
+                         ? p.tool_arg_string_value(p.until(PARAM_END))
+                         : p.tool_arg_json_value(p.schema(p.json(),
+                                                          "tool-" + name + "-arg-" + param_name + "-schema",
+                                                          param_schema, false))) +
+                    p.tool_arg_close(p.literal(PARAM_END)));
+
+                auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
+                if (is_required) {
+                    required_parsers.push_back(named_arg);
+                } else {
+                    optional_parsers.push_back(named_arg);
+                }
+            }
+
+            common_peg_parser args_seq = p.eps();
+            for (size_t i = 0; i < required_parsers.size(); i++) {
+                if (i > 0) {
+                    args_seq = args_seq + p.space();
+                }
+                args_seq = args_seq + required_parsers[i];
+            }
+
+            if (!optional_parsers.empty()) {
+                common_peg_parser any_opt = p.choice();
+                for (const auto & opt : optional_parsers) {
+                    any_opt |= opt;
+                }
+                args_seq = args_seq + p.repeat(p.space() + any_opt, 0, -1);
+            }
+
+            common_peg_parser invoke_body = args_seq;
+            auto func_parser = p.tool(
+                p.tool_open(p.literal(INVOKE_START + " name=\"") +
+                            p.tool_name(p.literal(name)) + p.literal("\">\n")) +
+                invoke_body + p.space() +
+                p.tool_close(p.literal(INVOKE_END)));
+
+            tool_choice |= p.rule("tool-" + name, func_parser);
+        });
+
+        auto require_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+        common_peg_parser tool_calls = p.eps();
+        if (inputs.parallel_tool_calls) {
+            tool_calls = p.trigger_rule("tool-call",
+                p.literal(FC_START) + p.space() + tool_choice +
+                p.zero_or_more(p.space() + tool_choice) + p.space() + p.literal(FC_END));
+        } else {
+            tool_calls = p.trigger_rule("tool-call",
+                p.literal(FC_START) + p.space() + tool_choice + p.space() + p.literal(FC_END));
+        }
+
+        if (!require_tools) {
+            tool_calls = p.optional(tool_calls);
+        }
+
+        auto content_before_tools = p.content(p.until(FC_START));
+        return generation_prompt + reasoning + content_before_tools + tool_calls + end;
+    });
+
+    data.parser = parser.save();
+
+    if (include_grammar) {
+        data.grammar_lazy = !(has_response_format || (has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED));
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.contains("parameters") ? function.at("parameters") : json::object();
+                builder.resolve_refs(schema);
+            });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
+
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, FC_START },
+        };
+    }
+
+    return data;
+}
+
 namespace workaround {
 
 static void map_developer_role_to_system(json & messages) {
@@ -1439,6 +1875,150 @@ static void requires_non_null_content(json & messages) {
     }
 }
 
+// Gemma4 uses a custom tool_responses field instead of role:tool messages.
+//
+// This will transform a sequence of messages:
+//   assistant(tool_call+) -> tool+ -> assistant(content)
+//
+// Into a single assistant message containing a tool_responses field:
+//   assistant(content + tool_call + tool_responses)
+//
+// This is necessary for the Gemma4 chat template to properly format the prompt.
+// See https://ai.google.dev/gemma/docs/core/prompt-formatting-gemma4
+struct gemma4_model_turn_builder {
+    json & messages;
+    size_t pos;
+    json tool_calls = json::array();
+    json tool_responses = json::array();
+    json content;
+    json reasoning_content;
+
+    gemma4_model_turn_builder(json & msgs, size_t pos) : messages(msgs), pos(pos) {}
+
+    void collect() {
+        // Collect the first assistant message
+        auto & msg = messages[pos];
+        if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) {
+            // According to the prompt formatting guide, we need to preserve reasoning_content
+            // between function calls. The current chat templates do not support this, but we will do it anyway.
+            reasoning_content = msg.at("reasoning_content");
+        }
+        for (auto & tc : msg.at("tool_calls")) {
+            tool_calls.push_back(tc);
+        }
+        pos++;
+
+        // Collect tool call results
+        while (pos < messages.size() && messages[pos].value("role", "") == "tool") {
+            collect_result(messages[pos]);
+            pos++;
+        }
+
+        // Check if the next assistant message is the final message
+        if (pos < messages.size() && messages[pos].value("role", "") == "assistant") {
+            auto & next = messages[pos];
+            if (!has_tool_calls(next) && has_content(next)) {
+                content = next.at("content");
+                pos++;
+            }
+        }
+    }
+
+    void collect_result(const json & curr) {
+        json response;
+        if (curr.contains("content")) {
+            const auto & content = curr.at("content");
+            if (content.is_string()) {
+                // Try to parse the content as JSON; fall back to raw string
+                try {
+                    response = json::parse(content.get<std::string>());
+                } catch (...) {
+                    response = content;
+                }
+            } else {
+                response = content;
+            }
+        }
+
+        std::string name;
+
+        // Match name with corresponding tool call
+        size_t idx = tool_responses.size();
+        if (idx < tool_calls.size()) {
+            auto & tc = tool_calls[idx];
+            if (tc.contains("function")) {
+                name = tc.at("function").value("name", "");
+            }
+        }
+
+        // Fallback to the tool call id
+        if (name.empty()) {
+            name = curr.value("tool_call_id", "");
+        }
+
+        tool_responses.push_back({{"name", name}, {"response", response}});
+    }
+
+    json build() {
+        collect();
+
+        json msg = {
+            {"role", "assistant"},
+            {"tool_calls", tool_calls},
+        };
+        if (!tool_responses.empty()) {
+            msg["tool_responses"] = tool_responses;
+        }
+        if (!content.is_null()) {
+            msg["content"] = content;
+        }
+        if (!reasoning_content.is_null()) {
+            msg["reasoning_content"] = reasoning_content;
+        }
+        return msg;
+    }
+
+    static bool has_content(const json & msg) {
+        if (!msg.contains("content") || msg.at("content").is_null()) {
+            return false;
+        }
+        const auto & content = msg.at("content");
+        if (content.is_string() && !content.get<std::string>().empty()) {
+            return true;
+        }
+        if (content.is_array() && !content.empty()) {
+            return true;
+        }
+        return false;
+    }
+
+    static bool has_tool_calls(const json & msg) {
+        return msg.contains("tool_calls") && msg.at("tool_calls").is_array() && !msg.at("tool_calls").empty();
+    }
+};
+
+static void convert_tool_responses_gemma4(json & messages) {
+    json result = json::array();
+    size_t i = 0;
+
+    while (i < messages.size()) {
+        auto & msg = messages[i];
+
+        if (msg.value("role", "") != "assistant" || !msg.contains("tool_calls") ||
+            !msg.at("tool_calls").is_array() || msg.at("tool_calls").empty()) {
+            result.push_back(msg);
+            i++;
+            continue;
+        }
+
+        gemma4_model_turn_builder builder(messages, i);
+        result.push_back(builder.build());
+        i = builder.pos;
+    }
+
+    messages = result;
+}
+
 static void func_args_not_string(json & messages) {
     GGML_ASSERT(messages.is_array());
     for (auto & message : messages) {
@@ -1471,24 +2051,101 @@ static json common_chat_extra_context() {
     return ctx;
 }
 
+std::optional<common_chat_params> common_chat_try_specialized_template(
+        const common_chat_template &          tmpl,
+        const std::string &                   src,
+        autoparser::generation_params & params) {
+    // Ministral/Mistral Large 3 - uses special reasoning structure fixes, can't use autoparser
+    // Note: Mistral Small 3.2 uses [CALL_ID] which Ministral doesn't have, so we can distinguish them
+    if (src.find("[SYSTEM_PROMPT]") != std::string::npos && src.find("[TOOL_CALLS]") != std::string::npos &&
+        src.find("[ARGS]") != std::string::npos && src.find("[CALL_ID]") == std::string::npos) {
+        LOG_DBG("Using specialized template: Ministral/Magistral Large 3\n");
+        return common_chat_params_init_ministral_3(tmpl, params);
+    }
+
+    // GPT-OSS - has unique channel-based structure that needs dedicated handler
+    if (src.find("<|channel|>") != std::string::npos) {
+        LOG_DBG("Using specialized template: GPT-OSS\n");
+        return common_chat_params_init_gpt_oss(tmpl, params);
+    }
+
+    // Functionary v3.2 - uses recipient-based format with >>>recipient\n{content}
+    // Detection: template has ">>>all" for content and ">>>" prefix for tool calls
+    if (src.find(">>>all") != std::string::npos && src.find(">>>${recipient}") != std::string::npos) {
+        LOG_DBG("Using specialized template: Functionary v3.2\n");
+        return common_chat_params_init_functionary_v3_2(tmpl, params);
+    }
+
+    // Kimi K2 Thinking - uses unique tool call ID format: functions.<name>:<index>
+    // Detection: template has "<|tool_calls_section_begin|>" and "functions." prefix in tool call IDs
+    if (src.find("<|tool_calls_section_begin|>") != std::string::npos &&
+        src.find("<|tool_call_begin|>") != std::string::npos) {
+        LOG_DBG("Using specialized template: Kimi K2 Thinking\n");
+        return common_chat_params_init_kimi_k2(tmpl, params);
+    }
+
+    // LFM2 format detection: template uses <|tool_list_start|>[...]<|tool_list_end|> around the tool list
+    // and <|tool_call_start|>[...]<|tool_call_end|> around each tool call
+    if (src.find("<|tool_list_start|>") != std::string::npos &&
+        src.find("<|tool_list_end|>") != std::string::npos) {
+        LOG_DBG("Using specialized template: LFM2\n");
+        return common_chat_params_init_lfm2(tmpl, params);
+    }
+
+    // LFM2.5 format detection: template uses plain "List of tools: [...]" with no special tokens
+    if (src.find("List of tools: [") != std::string::npos &&
+        src.find("<|tool_list_start|>") == std::string::npos) {
+        LOG_DBG("Using specialized template: LFM2.5\n");
+        return common_chat_params_init_lfm2_5(tmpl, params);
+    }
+
+    // GigaChatV3 format detection
+    if (src.find("<|role_sep|>") != std::string::npos &&
+        src.find("<|message_sep|>") != std::string::npos &&
+        src.find("<|function_call|>") == std::string::npos) {
+        LOG_DBG("Using specialized template: GigaChatV3\n");
+        return common_chat_params_init_gigachat_v3(tmpl, params);
+    }
+
+    // DeepSeek V3.2 format detection: template defines dsml_token and uses it for tool calls.
+    // The template source contains the token as a variable assignment, not as a literal in markup.
+    if (src.find("dsml_token") != std::string::npos &&
+        src.find("function_calls") != std::string::npos &&
+        src.find("DSML") != std::string::npos) {
+        LOG_DBG("Using specialized template: DeepSeek V3.2\n");
+        return common_chat_params_init_deepseek_v3_2(tmpl, params);
+    }
+
+    // Gemma4 format detection
+    if (src.find("'<|tool_call>call:'") != std::string::npos) {
+        if (src.find("{#- OpenAI Chat Completions:") == std::string::npos) {
+            // apply workarounds if using the older gemma4 templates
+            LOG_WRN("%s: detected an outdated gemma4 chat template, applying compatibility workarounds. "
+                    "Consider updating to the official template.\n", __func__);
+            workaround::convert_tool_responses_gemma4(params.messages);
+        }
+        return common_chat_params_init_gemma4(tmpl, params);
+    }
+
+    return std::nullopt;
+}
+
 static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates *        tmpls,
                                                             const struct common_chat_templates_inputs & inputs) {
-    autoparser::templates_params params;
+    autoparser::generation_params params;
     params.tools = common_chat_tools_to_json_oaicompat(inputs.tools);
-    const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use
-        ? *tmpls->template_tool_use
-        : *tmpls->template_default;
-    const auto & src = tmpl.source();
-    const auto & caps = tmpl.original_caps();
-    params.messages = render_message_to_json(inputs.messages, tmpl.original_caps());
-    params.add_generation_prompt = inputs.add_generation_prompt;
-    params.tool_choice = inputs.tool_choice;
+    const auto & tmpl =
+        params.tools.is_array() && tmpls->template_tool_use ? *tmpls->template_tool_use : *tmpls->template_default;
+    const auto & src        = tmpl.source();
+    const auto & caps       = tmpl.original_caps();
+    params.messages         = render_message_to_json(inputs.messages, tmpl.original_caps());
+    params.tool_choice      = inputs.tool_choice;
     params.reasoning_format = inputs.reasoning_format;
-    params.enable_thinking = inputs.enable_thinking;
-    params.grammar = inputs.grammar;
-    params.now = inputs.now;
-    params.add_bos = tmpls->add_bos;
-    params.add_eos = tmpls->add_eos;
+    params.enable_thinking  = inputs.enable_thinking;
+    params.grammar          = inputs.grammar;
+    params.now              = inputs.now;
+    params.add_bos          = tmpls->add_bos;
+    params.add_eos          = tmpls->add_eos;
 
     if (src.find("<|channel|>") == std::string::npos) {
         // map developer to system for all models except for GPT-OSS
@@ -1510,6 +2167,15 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
         workaround::func_args_not_string(params.messages);
     }
 
+    params.add_generation_prompt = false;
+    std::string no_gen_prompt    = common_chat_template_direct_apply_impl(tmpl, params);
+    params.add_generation_prompt = true;
+    std::string gen_prompt       = common_chat_template_direct_apply_impl(tmpl, params);
+    auto        diff             = calculate_diff_split(no_gen_prompt, gen_prompt);
+    params.generation_prompt     = diff.right + diff.suffix;
+
+    params.add_generation_prompt = inputs.add_generation_prompt;
+
     params.extra_context = common_chat_extra_context();
     for (auto el : inputs.chat_template_kwargs) {
         params.extra_context[el.first] = json::parse(el.second);
@@ -1519,12 +2185,7 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
         params.json_schema = json::parse(inputs.json_schema);
     }
 
-    // if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) {
-    //     LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n");
-    //     params.parallel_tool_calls = false;
-    // } else {
     params.parallel_tool_calls = inputs.parallel_tool_calls;
-    //}
 
     if (params.tools.is_array()) {
         if (params.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && !params.grammar.empty()) {
@@ -1543,63 +2204,23 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
         common_chat_params data;
         auto params_copy               = params;
         params_copy.reasoning_format   = COMMON_REASONING_FORMAT_NONE;
-        data.prompt                    = common_chat_template_direct_apply(tmpl, params_copy);
+        data.prompt                    = common_chat_template_direct_apply_impl(tmpl, params_copy);
         data.format                    = COMMON_CHAT_FORMAT_PEG_NATIVE;
-        auto parser                    = build_chat_peg_parser([](common_chat_peg_builder &p) {
-            return p.content(p.rest());
+        data.generation_prompt         = params.generation_prompt;
+        auto parser                    = build_chat_peg_parser([&params](common_chat_peg_builder &p) {
+            return p.prefix(params.generation_prompt) << p.content(p.rest());
         });
         data.parser                    = parser.save();
         return data;
     }
 
-    // Ministral/Mistral Large 3 - uses special reasoning structure fixes, can't use autoparser
-    // Note: Mistral Small 3.2 uses [CALL_ID] which Ministral doesn't have, so we can distinguish them
-    if (src.find("[SYSTEM_PROMPT]") != std::string::npos && src.find("[TOOL_CALLS]") != std::string::npos &&
-        src.find("[ARGS]") != std::string::npos && src.find("[CALL_ID]") == std::string::npos) {
-        LOG_DBG("Using specialized template: Ministral/Magistral Large 3\n");
-        return common_chat_params_init_ministral_3(tmpl, params);
-    }
-
-    // GPT-OSS - has unique channel-based structure that needs dedicated handler
-    if (src.find("<|channel|>") != std::string::npos) {
-        LOG_DBG("Using specialized template: GPT-OSS\n");
-        return common_chat_params_init_gpt_oss(tmpl, params);
-    }
-
-    // Functionary v3.2 - uses recipient-based format with >>>recipient\n{content}
-    // Detection: template has ">>>all" for content and ">>>" prefix for tool calls
-    if (src.find(">>>all") != std::string::npos && src.find(">>>${recipient}") != std::string::npos) {
-        LOG_DBG("Using specialized template: Functionary v3.2\n");
-        return common_chat_params_init_functionary_v3_2(tmpl, params);
-    }
-
-    // Kimi K2 Thinking - uses unique tool call ID format: functions.<name>:<index>
-    // Detection: template has "<|tool_calls_section_begin|>" and "functions." prefix in tool call IDs
-    if (src.find("<|tool_calls_section_begin|>") != std::string::npos &&
-        src.find("<|tool_call_begin|>") != std::string::npos) {
-        LOG_DBG("Using specialized template: Kimi K2 Thinking\n");
-        return common_chat_params_init_kimi_k2(tmpl, params);
-    }
-
-    // LFM2 - uses <|tool_list_start|>/<|tool_list_end|> markers and <|tool_call_start|>[name(args)]<|tool_call_end|> format
-    // Detection: template has "<|tool_list_start|>" and "<|tool_list_end|>" markers
-    if (src.find("<|tool_list_start|>") != std::string::npos &&
-        src.find("<|tool_list_end|>") != std::string::npos) {
-        LOG_DBG("Using specialized template: LFM2\n");
-        return common_chat_params_init_lfm2(tmpl, params);
-    }
-
-    // GigaChatV3 format detection
-    if (src.find("<|role_sep|>") != std::string::npos &&
-        src.find("<|message_sep|>") != std::string::npos &&
-        src.find("<|function_call|>") == std::string::npos
-    ) {
-        LOG_DBG("Using specialized template: GigaChatV3\n");
-        return common_chat_params_init_gigachat_v3(tmpl, params);
+    if (auto result = common_chat_try_specialized_template(tmpl, src, params)) {
+        result->generation_prompt = params.generation_prompt;
+        return *result;
     }
 
     try {
-        LOG_DBG("Using differential autoparser\n");
+        LOG_DBG("%s: using differential autoparser\n", __func__);
         struct autoparser::autoparser autoparser;
         autoparser.analyze_template(tmpl);
         auto auto_params = autoparser::peg_generator::generate_parser(tmpl, params, autoparser);
@@ -1607,13 +2228,11 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
         if (auto_params.supports_thinking) {
             auto_params.thinking_start_tag = autoparser.reasoning.start;
             auto_params.thinking_end_tag   = autoparser.reasoning.end;
-            // FORCED_OPEN and FORCED_CLOSED both put <think> in the generation prompt
-            // (FORCED_CLOSED forces empty <think></think> when thinking is disabled,
-            //  but forces <think> open when thinking is enabled)
-            auto_params.thinking_forced_open =
-                autoparser.reasoning.mode == autoparser::reasoning_mode::FORCED_OPEN ||
-                autoparser.reasoning.mode == autoparser::reasoning_mode::FORCED_CLOSED;
         }
+        auto_params.generation_prompt = params.generation_prompt;
+        common_peg_arena arena;
+        arena.load(auto_params.parser);
+        LOG_DBG("%s: generated parser:\n%s\n\nparser generation prompt: %s\n", __func__, arena.dump(arena.root()).c_str(), auto_params.generation_prompt.c_str());
         return auto_params;
     } catch (const std::exception & e) {
         throw std::invalid_argument(std::string("Unable to generate parser for this template. Automatic parser generation failed: ") + e.what());
@@ -1711,14 +2330,18 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena &          src_pars
         LOG_DBG("No parser definition detected, assuming pure content parser.");
     }
 
-    LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), input.c_str());
+    const std::string effective_input = params.generation_prompt.empty()
+        ? input
+        : params.generation_prompt + input;
+
+    //LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), effective_input.c_str());
 
     common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_LENIENT;
     if (params.debug) {
         flags |= COMMON_PEG_PARSE_FLAG_DEBUG;
     }
 
-    common_peg_parse_context ctx(input, flags);
+    common_peg_parse_context ctx(effective_input, flags);
     auto result = parser.parse(ctx);
 
     if (result.fail()) {
@@ -1728,8 +2351,13 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena &          src_pars
             // Try to extract any partial results from what was successfully parsed
             common_chat_msg msg;
             msg.role = "assistant";
-            auto mapper = common_chat_peg_mapper(msg);
-            mapper.from_ast(ctx.ast, result);
+            std::unique_ptr<common_chat_peg_mapper> mapper;
+            if (params.format == COMMON_CHAT_FORMAT_PEG_GEMMA4) {
+                mapper = std::make_unique<common_chat_peg_gemma4_mapper>(msg);
+            } else {
+                mapper = std::make_unique<common_chat_peg_mapper>(msg);
+            }
+            mapper->from_ast(ctx.ast, result);
 
             if (ctx.is_debug()) {
                 fprintf(stderr, "\nAST for partial parse (fail):\n%s\n", ctx.ast.dump().c_str());
@@ -1738,14 +2366,19 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena &          src_pars
             return msg;
         }
         throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end) + ": " +
-                                 input.substr(result.end));
+                                 effective_input.substr(result.end));
     }
 
     common_chat_msg msg;
     msg.role = "assistant";
 
-    auto mapper = common_chat_peg_mapper(msg);
-    mapper.from_ast(ctx.ast, result);
+    std::unique_ptr<common_chat_peg_mapper> mapper;
+    if (params.format == COMMON_CHAT_FORMAT_PEG_GEMMA4) {
+        mapper = std::make_unique<common_chat_peg_gemma4_mapper>(msg);
+    } else {
+        mapper = std::make_unique<common_chat_peg_mapper>(msg);
+    }
+    mapper->from_ast(ctx.ast, result);
 
     if (ctx.is_debug()) {
         fprintf(stderr, "\nAST for %s parse:\n%s\n", is_partial ? "partial" : "full", ctx.ast.dump().c_str());
diff --git a/common/chat.h b/common/chat.h
index 23e80baf698f95de82ffaee376ae95a520967372..b06ca37fd74270f33728c8b1b95f1b7411b2cdf3 100644
--- a/common/chat.h
+++ b/common/chat.h
@@ -3,12 +3,12 @@
 #pragma once
 
 #include "common.h"
-#include "jinja/parser.h"
-#include "nlohmann/json_fwd.hpp"
 #include "peg-parser.h"
+#include "jinja/parser.h"
 #include "jinja/runtime.h"
 #include "jinja/caps.h"
-#include "nlohmann/json.hpp"
+
+#include "nlohmann/json_fwd.hpp"
 
 #include <chrono>
 #include <functional>
@@ -19,12 +19,10 @@
 using chat_template_caps = jinja::caps;
 using json = nlohmann::ordered_json;
 
-#include <nlohmann/json_fwd.hpp>
-
 struct common_chat_templates;
 
 namespace autoparser {
-struct templates_params;
+struct generation_params;
 }  // namespace autoparser
 
 struct common_chat_tool_call {
@@ -75,41 +73,9 @@ struct common_chat_template {
     const std::string & bos_token() const { return bos_tok; }
     const std::string & eos_token() const { return eos_tok; }
 
-    // TODO: this is ugly, refactor it somehow
-    json add_system(const json & messages, const std::string & system_prompt) const {
-        GGML_ASSERT(messages.is_array());
-        auto msgs_copy = messages;
-        if (!caps.supports_system_role) {
-            if (msgs_copy.empty()) {
-                msgs_copy.insert(msgs_copy.begin(), json{
-                    {"role", "user"},
-                    {"content", system_prompt}
-                });
-            } else {
-                auto & first_msg = msgs_copy[0];
-                if (!first_msg.contains("content")) {
-                    first_msg["content"] = "";
-                }
-                first_msg["content"] = system_prompt + "\n\n"
-                    + first_msg["content"].get<std::string>();
-            }
-        } else {
-            if (msgs_copy.empty() || msgs_copy[0].at("role") != "system") {
-                msgs_copy.insert(msgs_copy.begin(), json{
-                    {"role", "system"},
-                    {"content", system_prompt}
-                });
-            } else if (msgs_copy[0].at("role") == "system") {
-                msgs_copy[0]["content"] = system_prompt;
-            }
-        }
-        return msgs_copy;
-    }
-
     chat_template_caps original_caps() const {
         return caps;
     }
-
 };
 
 struct common_chat_msg {
@@ -184,6 +150,7 @@ enum common_chat_format {
     // These are intended to be parsed by the PEG parser
     COMMON_CHAT_FORMAT_PEG_SIMPLE,
     COMMON_CHAT_FORMAT_PEG_NATIVE,
+    COMMON_CHAT_FORMAT_PEG_GEMMA4,
 
     COMMON_CHAT_FORMAT_COUNT,  // Not a format, just the # formats
 };
@@ -212,7 +179,7 @@ struct common_chat_params {
     std::string                         prompt;
     std::string                         grammar;
     bool                                grammar_lazy         = false;
-    bool                                thinking_forced_open = false;
+    std::string                         generation_prompt;
     bool                                supports_thinking    = false;
     std::string                         thinking_start_tag;  // e.g., "<think>"
     std::string                         thinking_end_tag;    // e.g., "</think>"
@@ -229,14 +196,14 @@ struct common_chat_parser_params {
     common_reasoning_format reasoning_format     = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning"
     // Whether reasoning_content should be inlined in the content (e.g. for reasoning_format=deepseek in stream mode)
     bool                    reasoning_in_content = false;
-    bool                    thinking_forced_open = false;
+    std::string             generation_prompt;
     bool                    parse_tool_calls     = true;
     bool                    debug                = false;  // Enable debug output for PEG parser
     common_peg_arena        parser               = {};
     common_chat_parser_params() = default;
     common_chat_parser_params(const common_chat_params & chat_params) {
-        format               = chat_params.format;
-        thinking_forced_open = chat_params.thinking_forced_open;
+        format  = chat_params.format;
+        generation_prompt = chat_params.generation_prompt;
     }
 };
 
@@ -256,8 +223,8 @@ common_chat_templates_ptr common_chat_templates_init(const struct llama_model *
                                                      const std::string &        bos_token_override = "",
                                                      const std::string &        eos_token_override = "");
 
-bool         common_chat_templates_was_explicit(const struct common_chat_templates * tmpls);
-std::string  common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = "");
+bool        common_chat_templates_was_explicit(const struct common_chat_templates * tmpls);
+std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = "");
 
 struct common_chat_params common_chat_templates_apply(const struct common_chat_templates *        tmpls,
                                                       const struct common_chat_templates_inputs & inputs);
@@ -274,9 +241,9 @@ std::string common_chat_format_example(const struct common_chat_templates *
                                        bool                                       use_jinja,
                                        const std::map<std::string, std::string> & chat_template_kwargs);
 
-const char *            common_chat_format_name(common_chat_format format);
-common_chat_msg           common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & params);
-common_chat_msg           common_chat_peg_parse(const common_peg_arena & src_parser, const std::string & input, bool is_partial, const common_chat_parser_params & params);
+const char *    common_chat_format_name(common_chat_format format);
+common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & params);
+common_chat_msg common_chat_peg_parse(const common_peg_arena & src_parser, const std::string & input, bool is_partial, const common_chat_parser_params & params);
 
 // used by arg and server
 const char *            common_reasoning_format_name(common_reasoning_format format);
@@ -302,7 +269,9 @@ std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_tem
 
 std::string common_chat_template_direct_apply(
     const common_chat_template & tmpl,
-    const autoparser::templates_params & inputs,
-    const std::optional<json> & messages_override = std::nullopt,
-    const std::optional<json> & tools_override = std::nullopt,
-    const std::optional<json> & additional_context = std::nullopt);
+    const autoparser::generation_params & inputs);
+
+std::optional<common_chat_params> common_chat_try_specialized_template(
+        const common_chat_template &          tmpl,
+        const std::string &                   src,
+        autoparser::generation_params & params);
diff --git a/common/common.cpp b/common/common.cpp
index 59d75a3b95ccd2d5f7a4e473206017eaae7e11b7..f7f33e8172a9d920bed1335b48d24db64de10a55 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1,7 +1,9 @@
 #include "ggml.h"
 #include "gguf.h"
 
+#include "build-info.h"
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 #include "llama.h"
 #include "sampling.h"
@@ -359,6 +361,11 @@ bool parse_cpu_mask(const std::string & mask, bool (&boolmask)[GGML_MAX_N_THREAD
 }
 
 void common_init() {
+#if defined(_WIN32)
+    SetConsoleOutputCP(CP_UTF8);
+    SetConsoleCP(CP_UTF8);
+#endif
+
     llama_log_set(common_log_default_callback, NULL);
 
 #ifdef NDEBUG
@@ -367,7 +374,7 @@ void common_init() {
     const char * build_type = " (debug)";
 #endif
 
-    LOG_INF("build: %d (%s) with %s for %s%s\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT, LLAMA_COMPILER, LLAMA_BUILD_TARGET, build_type);
+    LOG_DBG("build: %d (%s) with %s for %s%s\n", llama_build_number(), llama_commit(), llama_compiler(), llama_build_target(), build_type);
 }
 
 std::string common_params_get_system_info(const common_params & params) {
@@ -656,6 +663,97 @@ bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_over
     return true;
 }
 
+static inline bool glob_class_match(const char c, const char * pattern, const char * class_end) {
+    const char * class_start = pattern;
+    bool negated = false;
+
+    if (*class_start == '!') {
+        negated = true;
+        class_start++;
+    }
+
+    // If first character after negation is ']' or '-', treat it as literal
+    if (*class_start == ']' || *class_start == '-') {
+        if (class_start < class_end && *class_start == c) {
+            return !negated;
+        }
+        class_start++;
+    }
+
+    bool matched = false;
+
+    while (class_start < class_end) {
+        if (class_start + 2 < class_end && class_start[1] == '-' && class_start[2] != ']') {
+            char start_char = *class_start;
+            char end_char = class_start[2];
+            if (c >= start_char && c <= end_char) {
+                matched = true;
+                break;
+            }
+            class_start += 3;
+        } else {
+            if (*class_start == c) {
+                matched = true;
+                break;
+            }
+            class_start++;
+        }
+    }
+
+    return negated ? !matched : matched;
+}
+
+// simple glob: * matches non-/ chars, ** matches anything including /, [] matches character class
+static inline bool glob_match(const char * pattern, const char * str) {
+    if (*pattern == '\0') {
+        return *str == '\0';
+    }
+    if (pattern[0] == '*' && pattern[1] == '*') {
+        const char * p = pattern + 2;
+        if (glob_match(p, str)) return true;
+        if (*str != '\0') return glob_match(pattern, str + 1);
+        return false;
+    }
+    if (*pattern == '*') {
+        const char * p = pattern + 1;
+        for (; *str != '\0' && *str != '/'; str++) {
+            if (glob_match(p, str)) return true;
+        }
+        return glob_match(p, str);
+    }
+    if (*pattern == '?' && *str != '\0' && *str != '/') {
+        return glob_match(pattern + 1, str + 1);
+    }
+    if (*pattern == '[') {
+        const char * class_end = pattern + 1;
+        // If first character after '[' is ']' or '-', treat it as literal
+        if (*class_end == ']' || *class_end == '-') {
+            class_end++;
+        }
+        while (*class_end != '\0' && *class_end != ']') {
+            class_end++;
+        }
+        if (*class_end == ']') {
+            if (*str == '\0') return false;
+            bool matched = glob_class_match(*str, pattern + 1, class_end);
+            return matched && glob_match(class_end + 1, str + 1);
+        } else {
+            if (*str == '[') {
+                return glob_match(pattern + 1, str + 1);
+            }
+            return false;
+        }
+    }
+    if (*pattern == *str) {
+        return glob_match(pattern + 1, str + 1);
+    }
+    return false;
+}
+
+bool glob_match(const std::string & pattern, const std::string & str) {
+    return glob_match(pattern.c_str(), str.c_str());
+}
+
 //
 // Filesystem utils
 //
@@ -1050,7 +1148,7 @@ common_init_result::common_init_result(common_params & params) :
 
     if (params.fit_params) {
         LOG_INF("%s: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on\n", __func__);
-        llama_params_fit(params.model.path.c_str(), &mparams, &cparams,
+        common_fit_params(params.model.path.c_str(), &mparams, &cparams,
             params.tensor_split,
             params.tensor_buft_overrides.data(),
             params.fit_params_target.data(),
@@ -1152,6 +1250,9 @@ llama_context * common_init_result::context() {
 }
 
 common_sampler * common_init_result::sampler(llama_seq_id seq_id) {
+    if (seq_id < 0 || seq_id >= (int) pimpl->samplers.size()) {
+        return nullptr;
+    }
     return pimpl->samplers[seq_id].get();
 }
 
@@ -1282,7 +1383,7 @@ common_init_result_ptr common_init_from_params(common_params & params) {
 
 common_init_result::~common_init_result() = default;
 
-std::string get_model_endpoint() {
+std::string common_get_model_endpoint() {
     const char * model_endpoint_env = getenv("MODEL_ENDPOINT");
     // We still respect the use of environment-variable "HF_ENDPOINT" for backward-compatibility.
     const char * hf_endpoint_env = getenv("HF_ENDPOINT");
@@ -1297,6 +1398,42 @@ std::string get_model_endpoint() {
     return model_endpoint;
 }
 
+common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) {
+    auto * mem = llama_get_memory(ctx);
+    if (mem == nullptr) {
+        return COMMON_CONTEXT_SEQ_RM_TYPE_NO;
+    }
+
+    common_context_seq_rm_type res = COMMON_CONTEXT_SEQ_RM_TYPE_PART;
+
+    llama_memory_clear(mem, true);
+
+    // eval 2 tokens to check if the context is compatible
+    std::vector<llama_token> tmp;
+    tmp.push_back(0);
+    tmp.push_back(0);
+
+    int ret = llama_decode(ctx, llama_batch_get_one(tmp.data(), tmp.size()));
+    if (ret != 0) {
+        LOG_ERR("%s: llama_decode() failed: %d\n", __func__, ret);
+        res = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
+        goto done;
+    }
+
+    // try to remove the last tokens
+    if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
+        LOG_WRN("%s: the target context does not support partial sequence removal\n", __func__);
+        res = COMMON_CONTEXT_SEQ_RM_TYPE_FULL;
+        goto done;
+    }
+
+done:
+    llama_memory_clear(mem, true);
+    llama_synchronize(ctx);
+
+    return res;
+}
+
 void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora) {
     std::vector<llama_adapter_lora *> loras;
     std::vector<float> scales;
@@ -1343,6 +1480,7 @@ struct llama_model_params common_model_params_to_llama(common_params & params) {
 
     mparams.progress_callback           = params.load_progress_callback;
     mparams.progress_callback_user_data = params.load_progress_callback_user_data;
+    mparams.no_alloc                    = params.no_alloc;
 
     return mparams;
 }
diff --git a/common/common.h b/common/common.h
index 073ef566d2d5320e4ce2b3392490c2cd970a12db..4137a87f1d2040e806837f3356ba0a0816b3d994 100644
--- a/common/common.h
+++ b/common/common.h
@@ -2,9 +2,11 @@
 
 #pragma once
 
-#include "ggml-opt.h"
 #include "llama-cpp.h"
 
+#include "ggml-opt.h"
+#include "ggml.h"
+
 #include <set>
 #include <sstream>
 #include <string>
@@ -25,11 +27,6 @@
 #define die(msg)          do { fputs("error: " msg "\n", stderr);                exit(1); } while (0)
 #define die_fmt(fmt, ...) do { fprintf(stderr, "error: " fmt "\n", __VA_ARGS__); exit(1); } while (0)
 
-#define print_build_info() do {                                                                     \
-    fprintf(stderr, "%s: build = %d (%s)\n",      __func__, LLAMA_BUILD_NUMBER, LLAMA_COMMIT);      \
-    fprintf(stderr, "%s: built with %s for %s\n", __func__, LLAMA_COMPILER, LLAMA_BUILD_TARGET);    \
-} while(0)
-
 struct common_time_meas {
     common_time_meas(int64_t & t_acc, bool disable = false);
     ~common_time_meas();
@@ -51,14 +48,6 @@ struct common_adapter_lora_info {
 
 using llama_tokens = std::vector<llama_token>;
 
-// build info
-extern int LLAMA_BUILD_NUMBER;
-extern const char * LLAMA_COMMIT;
-extern const char * LLAMA_COMPILER;
-extern const char * LLAMA_BUILD_TARGET;
-
-const static std::string build_info("b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT);
-
 struct common_control_vector_load_info;
 
 //
@@ -178,6 +167,43 @@ enum common_speculative_type {
     COMMON_SPECULATIVE_TYPE_COUNT          // number of types, unknown type
 };
 
+// Grammar type enumeration
+enum common_grammar_type {
+    COMMON_GRAMMAR_TYPE_NONE,           // no grammar set
+    COMMON_GRAMMAR_TYPE_USER,           // user-provided GBNF (--grammar / "grammar" API field)
+    COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT,  // auto-generated from JSON schema (--json-schema / "json_schema" API field)
+    COMMON_GRAMMAR_TYPE_TOOL_CALLS,     // auto-generated by chat template parser for function calling
+};
+
+// Grammar variant struct with type and grammar string
+struct common_grammar {
+    common_grammar_type type = COMMON_GRAMMAR_TYPE_NONE;
+    std::string grammar;
+
+    // Default constructor - no grammar
+    common_grammar() = default;
+
+    // Constructor with type and grammar string
+    common_grammar(common_grammar_type t, std::string g) : type(t), grammar(std::move(g)) {
+        GGML_ASSERT(type != COMMON_GRAMMAR_TYPE_NONE || !grammar.empty());
+    }
+
+    // Check if a grammar is set
+    bool empty() const { return type == COMMON_GRAMMAR_TYPE_NONE || grammar.empty(); }
+};
+
+// Returns the raw grammar string, or empty string if no grammar is set.
+inline const std::string & common_grammar_value(const common_grammar & g) {
+    return g.grammar;
+}
+
+// Returns true when the generation_prompt should be prefilled into the grammar sampler.
+// Only output-format and tool-call grammars need prefill; user-supplied grammars must not be prefilled.
+inline bool common_grammar_needs_prefill(const common_grammar & g) {
+    return g.type == COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT
+        || g.type == COMMON_GRAMMAR_TYPE_TOOL_CALLS;
+}
+
 // sampling parameters
 struct common_params_sampling {
     uint32_t seed = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampler
@@ -228,7 +254,7 @@ struct common_params_sampling {
         COMMON_SAMPLER_TYPE_TEMPERATURE,
     };
 
-    std::string                         grammar; // optional BNF-like grammar to constrain sampling
+    common_grammar              grammar;      // optional grammar constraint (user / output-format / tool-calls)
     bool                                grammar_lazy = false;
     std::vector<common_grammar_trigger> grammar_triggers; // optional triggers (for lazy grammars)
     std::set<llama_token>               preserved_tokens;
@@ -236,10 +262,15 @@ struct common_params_sampling {
     std::vector<llama_logit_bias> logit_bias;     // logit biases to apply
     std::vector<llama_logit_bias> logit_bias_eog; // pre-calculated logit biases for EOG tokens
 
+    // The assistant generation prompt already prefilled into the prompt.
+    // Fed to the grammar sampler (to advance past pre-existing tokens) and used
+    // to determine the reasoning budget sampler's initial state.
+    // Only applied when the grammar is of output-format or tool-calls type.
+    std::string generation_prompt;
+
     // reasoning budget sampler parameters
     // these are populated by the server/CLI based on chat template params
     int32_t                  reasoning_budget_tokens   = -1;   // -1 = disabled, >= 0 = token budget
-    bool                     reasoning_budget_activate_immediately = false;
     std::vector<llama_token> reasoning_budget_start;           // start tag token sequence
     std::vector<llama_token> reasoning_budget_end;             // end tag token sequence
     std::vector<llama_token> reasoning_budget_forced;          // forced sequence (message + end tag)
@@ -271,15 +302,15 @@ struct common_params_speculative {
     // general-purpose speculative decoding parameters
 
     int32_t n_max   = 16; // maximum number of tokens to draft during speculative decoding
-    int32_t n_min   = 0; // minimum number of draft tokens to use for speculative decoding
+    int32_t n_min   = 0;  // minimum number of draft tokens to use for speculative decoding
     float   p_split = 0.1f; // speculative decoding split probability
     float   p_min   = 0.75f; // minimum speculative decoding probability (greedy)
 
     // ngram-based speculative decoding
 
-    uint16_t ngram_size_n     = 12; // ngram size for lookup
-    uint16_t ngram_size_m     = 48; // mgram size for speculative tokens
-    uint16_t ngram_min_hits   =  1; // minimum hits at ngram/mgram lookup for mgram to be proposed
+    uint16_t ngram_size_n   = 12; // ngram size for lookup
+    uint16_t ngram_size_m   = 48; // mgram size for speculative tokens
+    uint16_t ngram_min_hits = 1; // minimum hits at ngram/mgram lookup for mgram to be proposed
 
     std::shared_ptr<common_ngram_mod> ngram_mod;
 
@@ -389,11 +420,12 @@ struct common_params {
     // offload params
     std::vector<ggml_backend_dev_t> devices; // devices to use for offloading
 
-    int32_t n_gpu_layers       = -1;   // number of layers to store in VRAM, -1 is auto, <= -2 is all
-    int32_t main_gpu           = 0;    // the GPU that is used for scratch and small tensors
-    float   tensor_split[128]  = {0};  // how split tensors should be distributed across GPUs
-    bool    fit_params         = true; // whether to fit unset model/context parameters to free device memory
-    int32_t fit_params_min_ctx = 4096; // minimum context size to set when trying to reduce memory use
+    int32_t n_gpu_layers       = -1;    // number of layers to store in VRAM, -1 is auto, <= -2 is all
+    int32_t main_gpu           = 0;     // the GPU that is used for scratch and small tensors
+    float   tensor_split[128]  = {0};   // how split tensors should be distributed across GPUs
+    bool    fit_params         = true;  // whether to fit unset model/context parameters to free device memory
+    bool    fit_params_print   = false; // print the estimated required memory to run the model
+    int32_t fit_params_min_ctx = 4096;  // minimum context size to set when trying to reduce memory use
 
     // margin per device in bytes for fitting parameters to free memory:
     std::vector<size_t> fit_params_target = std::vector<size_t>(llama_max_devices(), 1024 * 1024*1024);
@@ -529,13 +561,15 @@ struct common_params {
 
     // server params
     int32_t port                = 8080;          // server listens on this network port
+    bool    reuse_port          = false;         // allow multiple sockets to bind to the same port
     int32_t timeout_read        = 600;           // http read timeout in seconds
     int32_t timeout_write       = timeout_read;  // http write timeout in seconds
     int32_t n_threads_http      = -1;    // number of threads to process HTTP requests (TODO: support threadpool)
     int32_t n_cache_reuse       = 0;     // min chunk size to reuse from the cache via KV shifting
     bool    cache_prompt        = true;  // whether to enable prompt caching
-    int32_t n_ctx_checkpoints   = 32;     // max number of context checkpoints per slot
-    int32_t checkpoint_every_nt = 8192;   // make a checkpoint every n tokens during prefill
+    bool    cache_idle_slots    = true;  // save and clear idle slots upon starting a new task
+    int32_t n_ctx_checkpoints   = 32;    // max number of context checkpoints per slot
+    int32_t checkpoint_every_nt = 8192;  // make a checkpoint every n tokens during prefill
     int32_t cache_ram_mib       = 8192;  // -1 = no limit, 0 - disable, 1 = 1 MiB, etc.
 
     std::string hostname      = "127.0.0.1";
@@ -569,6 +603,9 @@ struct common_params {
     bool endpoint_props   = false; // only control POST requests, not GET
     bool endpoint_metrics = false;
 
+    // enable built-in tools
+    std::vector<std::string> server_tools;
+
     // router server configs
     std::string models_dir    = ""; // directory containing models for the router server
     std::string models_preset = ""; // directory containing model presets for the router server
@@ -631,6 +668,7 @@ struct common_params {
     // return false from callback to abort model loading or true to continue
     llama_progress_callback load_progress_callback = NULL;
     void *                  load_progress_callback_user_data = NULL;
+    bool no_alloc = false; // Don't allocate model buffers
 };
 
 // call once at the start of a program if it uses libcommon
@@ -746,6 +784,8 @@ std::string string_from(const std::vector<int> & values);
 std::string string_from(const struct llama_context * ctx, const std::vector<llama_token> & tokens);
 std::string string_from(const struct llama_context * ctx, const struct llama_batch & batch);
 
+bool glob_match(const std::string & pattern, const std::string & str);
+
 //
 // Filesystem utils
 //
@@ -807,7 +847,23 @@ struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_p
 // clear LoRA adapters from context, then apply new list of adapters
 void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora);
 
-std::string                   get_model_endpoint();
+// model endpoint from env
+std::string common_get_model_endpoint();
+
+//
+// Context utils
+//
+
+enum common_context_seq_rm_type {
+    COMMON_CONTEXT_SEQ_RM_TYPE_NO   = 0, // seq_rm not supported (e.g. no memory module)
+    COMMON_CONTEXT_SEQ_RM_TYPE_PART = 1, // can seq_rm partial sequences
+    COMMON_CONTEXT_SEQ_RM_TYPE_FULL = 2, // can seq_rm full sequences only
+};
+
+// check if the llama_context can remove sequences
+// note: clears the memory of the context
+common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx);
+
 
 //
 // Batch utils
diff --git a/common/console.cpp b/common/console.cpp
index a770416ab7a9f9b102cf881800adf2ef6df03030..36f645f3329e3b8bd58a6309055f0f3ea186a8f9 100644
--- a/common/console.cpp
+++ b/common/console.cpp
@@ -700,13 +700,13 @@ namespace console {
         std::vector<std::string> entries;
         size_t viewing_idx = SIZE_MAX;
         std::string backup_line; // current line before viewing history
-        void add(const std::string & line) {
+        void add(std::string_view line) {
             if (line.empty()) {
                 return;
             }
             // avoid duplicates with the last entry
             if (entries.empty() || entries.back() != line) {
-                entries.push_back(line);
+                entries.emplace_back(line);
             }
             // also clear viewing state
             end_viewing();
@@ -1031,11 +1031,12 @@ namespace console {
 
         if (!end_of_stream && !line.empty()) {
             // remove the trailing newline for history storage
+            std::string_view hline = line;
             if (!line.empty() && line.back() == '\n') {
-                line.pop_back();
+                hline.remove_suffix(1);
             }
             // TODO: maybe support multiline history entries?
-            history.add(line);
+            history.add(hline);
         }
 
         fflush(out);
diff --git a/common/download.cpp b/common/download.cpp
index 5ef60a420864834d9f740471976332fdf554a7eb..c4bb02d90c2b70e3ac7a6027e6c4335bd186eb9e 100644
--- a/common/download.cpp
+++ b/common/download.cpp
@@ -1,9 +1,10 @@
 #include "arg.h"
 
+#include "build-info.h"
 #include "common.h"
-#include "gguf.h" // for reading GGUF splits
 #include "log.h"
 #include "download.h"
+#include "hf-cache.h"
 
 #define JSON_ASSERT GGML_ASSERT
 #include <nlohmann/json.hpp>
@@ -15,6 +16,7 @@
 #include <map>
 #include <mutex>
 #include <regex>
+#include <unordered_set>
 #include <string>
 #include <thread>
 #include <vector>
@@ -35,8 +37,6 @@
 #endif
 #endif
 
-#define LLAMA_MAX_URL_LENGTH 2084 // Maximum URL Length in Chrome: 2083
-
 // isatty
 #if defined(_WIN32)
 #include <io.h>
@@ -51,31 +51,6 @@ using json = nlohmann::ordered_json;
 //
 
 // validate repo name format: owner/repo
-static bool validate_repo_name(const std::string & repo) {
-    static const std::regex repo_regex(R"(^[A-Za-z0-9_.\-]+\/[A-Za-z0-9_.\-]+$)");
-    return std::regex_match(repo, repo_regex);
-}
-
-static std::string get_manifest_path(const std::string & repo, const std::string & tag) {
-    // we use "=" to avoid clashing with other component, while still being allowed on windows
-    std::string fname = "manifest=" + repo + "=" + tag + ".json";
-    if (!validate_repo_name(repo)) {
-        throw std::runtime_error("error: repo name must be in the format 'owner/repo'");
-    }
-    string_replace_all(fname, "/", "=");
-    return fs_get_cache_file(fname);
-}
-
-static std::string read_file(const std::string & fname) {
-    std::ifstream file(fname);
-    if (!file) {
-        throw std::runtime_error(string_format("error: failed to open file '%s'\n", fname.c_str()));
-    }
-    std::string content((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
-    file.close();
-    return content;
-}
-
 static void write_file(const std::string & fname, const std::string & content) {
     const std::string fname_tmp = fname + ".tmp";
     std::ofstream     file(fname_tmp);
@@ -132,7 +107,7 @@ static bool is_http_status_ok(int status) {
 
 std::pair<std::string, std::string> common_download_split_repo_tag(const std::string & hf_repo_with_tag) {
     auto parts = string_split<std::string>(hf_repo_with_tag, ':');
-    std::string tag = parts.size() > 1 ? parts.back() : "latest";
+    std::string tag = parts.size() > 1 ? parts.back() : "";
     std::string hf_repo = parts[0];
     if (string_split<std::string>(hf_repo, '/').size() != 2) {
         throw std::invalid_argument("error: invalid HF repo format, expected <user>/<model>[:quant]\n");
@@ -140,11 +115,14 @@ std::pair<std::string, std::string> common_download_split_repo_tag(const std::st
     return {hf_repo, tag};
 }
 
-class ProgressBar {
+class ProgressBar : public common_download_callback {
     static inline std::mutex mutex;
     static inline std::map<const ProgressBar *, int> lines;
     static inline int max_line = 0;
 
+    std::string filename;
+    size_t len = 0;
+
     static void cleanup(const ProgressBar * line) {
         lines.erase(line);
         if (lines.empty()) {
@@ -163,17 +141,33 @@ class ProgressBar {
 public:
     ProgressBar() = default;
 
-    ~ProgressBar() {
+    void on_start(const common_download_progress & p) override {
+        filename = p.url;
+
+        if (auto pos = filename.rfind('/'); pos != std::string::npos) {
+            filename = filename.substr(pos + 1);
+        }
+        if (auto pos = filename.find('?'); pos != std::string::npos) {
+            filename = filename.substr(0, pos);
+        }
+        for (size_t i = 0; i < filename.size(); ++i) {
+            if ((filename[i] & 0xC0) != 0x80) {
+                if (len++ == 39) {
+                    filename.resize(i);
+                    filename += "…";
+                    break;
+                }
+            }
+        }
+    }
+
+    void on_done(const common_download_progress &, bool) override {
         std::lock_guard<std::mutex> lock(mutex);
         cleanup(this);
     }
 
-    void update(size_t current, size_t total) {
-        if (!is_output_a_tty()) {
-            return;
-        }
-
-        if (!total) {
+    void on_update(const common_download_progress & p) override {
+        if (!p.total || !is_output_a_tty()) {
             return;
         }
 
@@ -185,28 +179,27 @@ public:
         }
         int lines_up = max_line - lines[this];
 
-        size_t width = 50;
-        size_t pct = (100 * current) / total;
-        size_t pos = (width * current) / total;
-
-        std::cout << "\033[s";
+        size_t bar = (55 - len) * 2;
+        size_t pct = (100 * p.downloaded) / p.total;
+        size_t pos = (bar * p.downloaded) / p.total;
 
         if (lines_up > 0) {
             std::cout << "\033[" << lines_up << "A";
         }
-        std::cout << "\033[2K\r["
-            << std::string(pos, '=')
-            << (pos < width ? ">" : "")
-            << std::string(width - pos, ' ')
-            << "] " << std::setw(3) << pct << "%  ("
-            << current / (1024 * 1024) << " MB / "
-            << total / (1024 * 1024) << " MB) "
-            << "\033[u";
+        std::cout << '\r' << "Downloading " << filename << " ";
+
+        for (size_t i = 0; i < bar; i += 2) {
+            std::cout << (i + 1 < pos ? "─" : (i < pos ? "╴" : " "));
+        }
+        std::cout << std::setw(4) << pct << "%\033[K";
 
-        std::cout.flush();
+        if (lines_up > 0) {
+            std::cout << "\033[" << lines_up << "B";
+        }
+        std::cout << '\r' << std::flush;
 
-        if (current == total) {
-             cleanup(this);
+        if (p.downloaded == p.total) {
+            cleanup(this);
         }
     }
 
@@ -218,8 +211,8 @@ static bool common_pull_file(httplib::Client & cli,
                              const std::string & resolve_path,
                              const std::string & path_tmp,
                              bool supports_ranges,
-                             size_t existing_size,
-                             size_t & total_size) {
+                             common_download_progress & p,
+                             common_download_callback * callback) {
     std::ofstream ofs(path_tmp, std::ios::binary | std::ios::app);
     if (!ofs.is_open()) {
         LOG_ERR("%s: error opening local file for writing: %s\n", __func__, path_tmp.c_str());
@@ -227,29 +220,27 @@ static bool common_pull_file(httplib::Client & cli,
     }
 
     httplib::Headers headers;
-    if (supports_ranges && existing_size > 0) {
-        headers.emplace("Range", "bytes=" + std::to_string(existing_size) + "-");
+    if (supports_ranges && p.downloaded > 0) {
+        headers.emplace("Range", "bytes=" + std::to_string(p.downloaded) + "-");
     }
 
     const char * func = __func__; // avoid __func__ inside a lambda
-    size_t downloaded = existing_size;
     size_t progress_step = 0;
-    ProgressBar bar;
 
     auto res = cli.Get(resolve_path, headers,
         [&](const httplib::Response &response) {
-            if (existing_size > 0 && response.status != 206) {
+            if (p.downloaded > 0 && response.status != 206) {
                 LOG_WRN("%s: server did not respond with 206 Partial Content for a resume request. Status: %d\n", func, response.status);
                 return false;
             }
-            if (existing_size == 0 && response.status != 200) {
+            if (p.downloaded == 0 && response.status != 200) {
                 LOG_WRN("%s: download received non-successful status code: %d\n", func, response.status);
                 return false;
             }
-            if (total_size == 0 && response.has_header("Content-Length")) {
+            if (p.total == 0 && response.has_header("Content-Length")) {
                 try {
                     size_t content_length = std::stoull(response.get_header_value("Content-Length"));
-                    total_size = existing_size + content_length;
+                    p.total = p.downloaded + content_length;
                 } catch (const std::exception &e) {
                     LOG_WRN("%s: invalid Content-Length header: %s\n", func, e.what());
                 }
@@ -262,11 +253,16 @@ static bool common_pull_file(httplib::Client & cli,
                 LOG_ERR("%s: error writing to file: %s\n", func, path_tmp.c_str());
                 return false;
             }
-            downloaded += len;
+            p.downloaded += len;
             progress_step += len;
 
-            if (progress_step >= total_size / 1000 || downloaded == total_size) {
-                bar.update(downloaded, total_size);
+            if (progress_step >= p.total / 1000 || p.downloaded == p.total) {
+                if (callback) {
+                    callback->on_update(p);
+                    if (callback->is_cancelled()) {
+                        return false;
+                    }
+                }
                 progress_step = 0;
             }
             return true;
@@ -287,34 +283,39 @@ static bool common_pull_file(httplib::Client & cli,
 
 // download one single file from remote URL to local path
 // returns status code or -1 on error
-static int common_download_file_single_online(const std::string        & url,
-                                              const std::string        & path,
-                                              const std::string        & bearer_token,
-                                              const common_header_list & custom_headers) {
+static int common_download_file_single_online(const std::string & url,
+                                              const std::string & path,
+                                              const common_download_opts & opts,
+                                              bool skip_etag) {
     static const int max_attempts        = 3;
     static const int retry_delay_seconds = 2;
 
+    const bool file_exists = std::filesystem::exists(path);
+
+    if (file_exists && skip_etag) {
+        LOG_DBG("%s: using cached file: %s\n", __func__, path.c_str());
+        return 304; // 304 Not Modified - fake cached response
+    }
+
     auto [cli, parts] = common_http_client(url);
 
     httplib::Headers headers;
-    for (const auto & h : custom_headers) {
+    for (const auto & h : opts.headers) {
         headers.emplace(h.first, h.second);
     }
     if (headers.find("User-Agent") == headers.end()) {
-        headers.emplace("User-Agent", "llama-cpp/" + build_info);
+        headers.emplace("User-Agent", "llama-cpp/" + std::string(llama_build_info()));
     }
-    if (!bearer_token.empty()) {
-        headers.emplace("Authorization", "Bearer " + bearer_token);
+    if (!opts.bearer_token.empty()) {
+        headers.emplace("Authorization", "Bearer " + opts.bearer_token);
     }
     cli.set_default_headers(headers);
 
-    const bool file_exists = std::filesystem::exists(path);
-
     std::string last_etag;
     if (file_exists) {
         last_etag = read_etag(path);
     } else {
-        LOG_INF("%s: no previous model file found %s\n", __func__, path.c_str());
+        LOG_DBG("%s: no previous model file found %s\n", __func__, path.c_str());
     }
 
     auto head = cli.Head(parts.path);
@@ -332,10 +333,11 @@ static int common_download_file_single_online(const std::string        & url,
         etag = head->get_header_value("ETag");
     }
 
-    size_t total_size = 0;
+    common_download_progress p;
+    p.url = url;
     if (head->has_header("Content-Length")) {
         try {
-            total_size = std::stoull(head->get_header_value("Content-Length"));
+            p.total = std::stoull(head->get_header_value("Content-Length"));
         } catch (const std::exception& e) {
             LOG_WRN("%s: invalid Content-Length in HEAD response: %s\n", __func__, e.what());
         }
@@ -348,11 +350,11 @@ static int common_download_file_single_online(const std::string        & url,
 
     if (file_exists) {
         if (etag.empty()) {
-            LOG_INF("%s: using cached file (no server etag): %s\n", __func__, path.c_str());
+            LOG_DBG("%s: using cached file (no server etag): %s\n", __func__, path.c_str());
             return 304; // 304 Not Modified - fake cached response
         }
         if (!last_etag.empty() && last_etag == etag) {
-            LOG_INF("%s: using cached file (same etag): %s\n", __func__, path.c_str());
+            LOG_DBG("%s: using cached file (same etag): %s\n", __func__, path.c_str());
             return 304; // 304 Not Modified - fake cached response
         }
         if (remove(path.c_str()) != 0) {
@@ -361,10 +363,23 @@ static int common_download_file_single_online(const std::string        & url,
         }
     }
 
+    { // silent
+        std::error_code ec;
+        std::filesystem::create_directories(std::filesystem::path(path).parent_path(), ec);
+    }
+
+    bool success = false;
     const std::string path_temporary = path + ".downloadInProgress";
     int delay = retry_delay_seconds;
 
+    if (opts.callback) {
+        opts.callback->on_start(p);
+    }
+
     for (int i = 0; i < max_attempts; ++i) {
+        if (opts.callback && opts.callback->is_cancelled()) {
+            break;
+        }
         if (i) {
             LOG_WRN("%s: retrying after %d seconds...\n", __func__, delay);
             std::this_thread::sleep_for(std::chrono::seconds(delay));
@@ -378,28 +393,44 @@ static int common_download_file_single_online(const std::string        & url,
                 existing_size = std::filesystem::file_size(path_temporary);
             } else if (remove(path_temporary.c_str()) != 0) {
                 LOG_ERR("%s: unable to delete file: %s\n", __func__, path_temporary.c_str());
-                return -1;
+                break;
             }
         }
 
-        LOG_INF("%s: downloading from %s to %s (etag:%s)...\n",
+        p.downloaded = existing_size;
+
+        LOG_DBG("%s: downloading from %s to %s (etag:%s)...\n",
                 __func__, common_http_show_masked_url(parts).c_str(),
                 path_temporary.c_str(), etag.c_str());
 
-        if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, existing_size, total_size)) {
+        if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, p, opts.callback)) {
             if (std::rename(path_temporary.c_str(), path.c_str()) != 0) {
                 LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, path_temporary.c_str(), path.c_str());
-                return -1;
+                break;
             }
-            if (!etag.empty()) {
+            if (!etag.empty() && !skip_etag) {
                 write_etag(path, etag);
             }
-            return head->status;
+            success = true;
+            break;
+        }
+    }
+
+    if (opts.callback) {
+        opts.callback->on_done(p, success);
+    }
+    if (opts.callback && opts.callback->is_cancelled() &&
+        std::filesystem::exists(path_temporary)) {
+        if (remove(path_temporary.c_str()) != 0) {
+            LOG_ERR("%s: unable to delete temporary file: %s\n", __func__, path_temporary.c_str());
         }
     }
+    if (!success) {
+        LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
+        return -1; // max attempts reached
+    }
 
-    LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
-    return -1; // max attempts reached
+    return head->status;
 }
 
 std::pair<long, std::vector<char>> common_remote_get_content(const std::string          & url,
@@ -411,7 +442,7 @@ std::pair<long, std::vector<char>> common_remote_get_content(const std::string
         headers.emplace(h.first, h.second);
     }
     if (headers.find("User-Agent") == headers.end()) {
-        headers.emplace("User-Agent", "llama-cpp/" + build_info);
+        headers.emplace("User-Agent", "llama-cpp/" + std::string(llama_build_info()));
     }
 
     if (params.timeout > 0) {
@@ -438,11 +469,15 @@ std::pair<long, std::vector<char>> common_remote_get_content(const std::string
 
 int common_download_file_single(const std::string & url,
                                 const std::string & path,
-                                const std::string & bearer_token,
-                                bool offline,
-                                const common_header_list & headers) {
-    if (!offline) {
-        return common_download_file_single_online(url, path, bearer_token, headers);
+                                const common_download_opts & opts,
+                                bool skip_etag) {
+    if (!opts.offline) {
+        ProgressBar tty_cb;
+        common_download_opts online_opts = opts;
+        if (!online_opts.callback) {
+            online_opts.callback = &tty_cb;
+        }
+        return common_download_file_single_online(url, path, online_opts, skip_etag);
     }
 
     if (!std::filesystem::exists(path)) {
@@ -450,197 +485,333 @@ int common_download_file_single(const std::string & url,
         return -1;
     }
 
-    LOG_INF("%s: using cached file (offline mode): %s\n", __func__, path.c_str());
+    LOG_DBG("%s: using cached file (offline mode): %s\n", __func__, path.c_str());
+
+    // notify the callback that the file was cached
+    if (opts.callback) {
+        common_download_progress p;
+        p.url = url;
+        p.cached = true;
+        opts.callback->on_start(p);
+        opts.callback->on_done(p, true);
+    }
+
     return 304; // Not Modified - fake cached response
 }
 
-// download multiple files from remote URLs to local paths
-// the input is a vector of pairs <url, path>
-static bool common_download_file_multiple(const std::vector<std::pair<std::string, std::string>> & urls,
-                                          const std::string & bearer_token,
-                                          bool offline,
-                                          const common_header_list & headers) {
-    // Prepare download in parallel
-    std::vector<std::future<bool>> futures_download;
-    futures_download.reserve(urls.size());
-
-    for (auto const & item : urls) {
-        futures_download.push_back(
-            std::async(
-                std::launch::async,
-                [&bearer_token, offline, &headers](const std::pair<std::string, std::string> & it) -> bool {
-                    const int http_status = common_download_file_single(it.first, it.second, bearer_token, offline, headers);
-                    return is_http_status_ok(http_status);
-                },
-                item
-            )
-        );
-    }
-
-    // Wait for all downloads to complete
-    for (auto & f : futures_download) {
-        if (!f.get()) {
-            return false;
+struct gguf_split_info {
+    std::string prefix; // tag included
+    std::string tag;
+    int index;
+    int count;
+};
+
+static gguf_split_info get_gguf_split_info(const std::string & path) {
+    static const std::regex re_split("^(.+)-([0-9]{5})-of-([0-9]{5})$", std::regex::icase);
+    static const std::regex re_tag("[-.]([A-Z0-9_]+)$", std::regex::icase);
+    std::smatch m;
+
+    std::string prefix = path;
+    if (!string_remove_suffix(prefix, ".gguf")) {
+        return {};
+    }
+
+    int index = 1;
+    int count = 1;
+
+    if (std::regex_match(prefix, m, re_split)) {
+        index = std::stoi(m[2].str());
+        count = std::stoi(m[3].str());
+        prefix = m[1].str();
+    }
+
+    std::string tag;
+    if (std::regex_search(prefix, m, re_tag)) {
+        tag = m[1].str();
+        for (char & c : tag) {
+            c = std::toupper((unsigned char)c);
         }
     }
 
-    return true;
+    return {std::move(prefix), std::move(tag), index, count};
 }
 
-bool common_download_model(const common_params_model & model,
-                           const std::string & bearer_token,
-                           bool offline,
-                           const common_header_list & headers) {
-    // Basic validation of the model.url
-    if (model.url.empty()) {
-        LOG_ERR("%s: invalid model url\n", __func__);
-        return false;
+// Q4_0 -> 4, F16 -> 16, NVFP4 -> 4, Q8_K_M -> 8, etc
+static int extract_quant_bits(const std::string & filename) {
+    auto split = get_gguf_split_info(filename);
+
+    auto pos = split.tag.find_first_of("0123456789");
+    if (pos == std::string::npos) {
+        return 0;
     }
 
-    const int http_status = common_download_file_single(model.url, model.path, bearer_token, offline, headers);
-    if (!is_http_status_ok(http_status)) {
-        return false;
+    return std::stoi(split.tag.substr(pos));
+}
+
+static hf_cache::hf_files get_split_files(const hf_cache::hf_files & files,
+                                          const hf_cache::hf_file  & file) {
+    auto split = get_gguf_split_info(file.path);
+
+    if (split.count <= 1) {
+        return {file};
     }
+    hf_cache::hf_files result;
 
-    // check for additional GGUFs split to download
-    int n_split = 0;
-    {
-        struct gguf_init_params gguf_params = {
-            /*.no_alloc = */ true,
-            /*.ctx      = */ NULL,
-        };
-        auto * ctx_gguf = gguf_init_from_file(model.path.c_str(), gguf_params);
-        if (!ctx_gguf) {
-            LOG_ERR("\n%s:  failed to load input GGUF from %s\n", __func__, model.path.c_str());
-            return false;
+    for (const auto & f : files) {
+        auto split_f = get_gguf_split_info(f.path);
+        if (split_f.count == split.count && split_f.prefix == split.prefix) {
+            result.push_back(f);
+        }
+    }
+    return result;
+}
+
+static hf_cache::hf_file find_best_mmproj(const hf_cache::hf_files & files,
+                                          const std::string        & model) {
+    hf_cache::hf_file best;
+    size_t best_depth = 0;
+    int best_diff = 0;
+    bool found = false;
+
+    auto model_bits = extract_quant_bits(model);
+    auto model_parts = string_split<std::string>(model, '/');
+    auto model_dir = model_parts.end() - 1;
+
+    for (const auto & f : files) {
+        if (!string_ends_with(f.path, ".gguf") ||
+            f.path.find("mmproj") == std::string::npos) {
+            continue;
         }
 
-        auto key_n_split = gguf_find_key(ctx_gguf, LLM_KV_SPLIT_COUNT);
-        if (key_n_split >= 0) {
-            n_split = gguf_get_val_u16(ctx_gguf, key_n_split);
+        auto mmproj_parts = string_split<std::string>(f.path, '/');
+        auto mmproj_dir = mmproj_parts.end() - 1;
+
+        auto [_, dir] = std::mismatch(model_parts.begin(), model_dir,
+                                      mmproj_parts.begin(), mmproj_dir);
+        if (dir != mmproj_dir) {
+            continue;
         }
 
-        gguf_free(ctx_gguf);
+        size_t depth = dir - mmproj_parts.begin();
+        auto bits = extract_quant_bits(f.path);
+        auto diff = std::abs(bits - model_bits);
+
+        if (!found || depth > best_depth || (depth == best_depth && diff < best_diff)) {
+            best = f;
+            best_depth = depth;
+            best_diff = diff;
+            found = true;
+        }
     }
+    return best;
+}
 
-    if (n_split > 1) {
-        char split_prefix[PATH_MAX] = {0};
-        char split_url_prefix[LLAMA_MAX_URL_LENGTH] = {0};
+static bool gguf_filename_is_model(const std::string & filepath) {
+    if (!string_ends_with(filepath, ".gguf")) {
+        return false;
+    }
 
-        // Verify the first split file format
-        // and extract split URL and PATH prefixes
-        {
-            if (!llama_split_prefix(split_prefix, sizeof(split_prefix), model.path.c_str(), 0, n_split)) {
-                LOG_ERR("\n%s: unexpected model file name: %s n_split=%d\n", __func__, model.path.c_str(), n_split);
-                return false;
+    std::string filename = filepath;
+    if (auto pos = filename.rfind('/'); pos != std::string::npos) {
+        filename = filename.substr(pos + 1);
+    }
+
+    return filename.find("mmproj")  == std::string::npos &&
+           filename.find("imatrix") == std::string::npos;
+}
+
+static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
+                                         const std::string        & tag) {
+    std::vector<std::string> tags;
+
+    if (!tag.empty()) {
+        tags.push_back(tag);
+    } else {
+        tags = {"Q4_K_M", "Q4_0"};
+    }
+
+    for (const auto & t : tags) {
+        std::regex pattern(t + "[.-]", std::regex::icase);
+        for (const auto & f : files) {
+            if (gguf_filename_is_model(f.path) &&
+                std::regex_search(f.path, pattern)) {
+                auto split = get_gguf_split_info(f.path);
+                if (split.count > 1 && split.index != 1) {
+                    continue;
+                }
+                return f;
             }
+        }
+    }
 
-            if (!llama_split_prefix(split_url_prefix, sizeof(split_url_prefix), model.url.c_str(), 0, n_split)) {
-                LOG_ERR("\n%s: unexpected model url: %s n_split=%d\n", __func__, model.url.c_str(), n_split);
-                return false;
+    // fallback to first available model only if tag is empty
+    if (tag.empty()) {
+        for (const auto & f : files) {
+            if (gguf_filename_is_model(f.path)) {
+                auto split = get_gguf_split_info(f.path);
+                if (split.count > 1 && split.index != 1) {
+                    continue;
+                }
+                return f;
             }
         }
+    }
 
-        std::vector<std::pair<std::string, std::string>> urls;
-        for (int idx = 1; idx < n_split; idx++) {
-            char split_path[PATH_MAX] = {0};
-            llama_split_path(split_path, sizeof(split_path), split_prefix, idx, n_split);
+    return {};
+}
 
-            char split_url[LLAMA_MAX_URL_LENGTH] = {0};
-            llama_split_path(split_url, sizeof(split_url), split_url_prefix, idx, n_split);
+static void list_available_gguf_files(const hf_cache::hf_files & files) {
+    LOG_INF("Available GGUF files:\n");
+    for (const auto & f : files) {
+        if (string_ends_with(f.path, ".gguf")) {
+            LOG_INF(" - %s\n", f.path.c_str());
+        }
+    }
+}
 
-            if (std::string(split_path) == model.path) {
-                continue; // skip the already downloaded file
-            }
+struct hf_plan {
+    hf_cache::hf_file primary;
+    hf_cache::hf_files model_files;
+    hf_cache::hf_file mmproj;
+};
+
+static hf_plan get_hf_plan(const common_params_model  & model,
+                           const common_download_opts & opts,
+                           bool download_mmproj) {
+    hf_plan plan;
+    hf_cache::hf_files all;
+
+    auto [repo, tag] = common_download_split_repo_tag(model.hf_repo);
 
-            urls.push_back({split_url, split_path});
+    if (!opts.offline) {
+        all = hf_cache::get_repo_files(repo, opts.bearer_token);
+    }
+    if (all.empty()) {
+        all = hf_cache::get_cached_files(repo);
+    }
+    if (all.empty()) {
+        return plan;
+    }
+
+    hf_cache::hf_file primary;
+
+    if (!model.hf_file.empty()) {
+        for (const auto & f : all) {
+            if (f.path == model.hf_file) {
+                primary = f;
+                break;
+            }
         }
+        if (primary.path.empty()) {
+            LOG_ERR("%s: file '%s' not found in repository\n", __func__, model.hf_file.c_str());
+            list_available_gguf_files(all);
+            return plan;
+        }
+    } else {
+        primary = find_best_model(all, tag);
+        if (primary.path.empty()) {
+            LOG_ERR("%s: no GGUF files found in repository %s\n", __func__, repo.c_str());
+            list_available_gguf_files(all);
+            return plan;
+        }
+    }
+
+    plan.primary = primary;
+    plan.model_files = get_split_files(all, primary);
 
-        // Download in parallel
-        common_download_file_multiple(urls, bearer_token, offline, headers);
+    if (download_mmproj) {
+        plan.mmproj = find_best_mmproj(all, primary.path);
     }
 
-    return true;
+    return plan;
 }
 
-common_hf_file_res common_get_hf_file(const std::string & hf_repo_with_tag,
-                                      const std::string & bearer_token,
-                                      bool offline,
-                                      const common_header_list & custom_headers) {
-    // the returned hf_repo is without tag
-    auto [hf_repo, tag] = common_download_split_repo_tag(hf_repo_with_tag);
+struct download_task {
+    std::string url;
+    std::string path;
+};
 
-    std::string url = get_model_endpoint() + "v2/" + hf_repo + "/manifests/" + tag;
+static std::vector<download_task> get_url_tasks(const common_params_model & model) {
+    auto split = get_gguf_split_info(model.url);
 
-    // headers
-    common_header_list headers = custom_headers;
-    headers.push_back({"Accept", "application/json"});
-    if (!bearer_token.empty()) {
-        headers.push_back({"Authorization", "Bearer " + bearer_token});
+    if (split.count <= 1) {
+        return {{model.url, model.path}};
     }
-    // Important: the User-Agent must be "llama-cpp" to get the "ggufFile" field in the response
-    // User-Agent header is already set in common_remote_get_content, no need to set it here
 
-    // make the request
-    common_remote_params params;
-    params.headers = headers;
-    long res_code = 0;
-    std::string res_str;
-    bool use_cache = false;
-    std::string cached_response_path = get_manifest_path(hf_repo, tag);
-    if (!offline) {
-        try {
-            auto res = common_remote_get_content(url, params);
-            res_code = res.first;
-            res_str = std::string(res.second.data(), res.second.size());
-        } catch (const std::exception & e) {
-            LOG_WRN("error: failed to get manifest at %s: %s\n", url.c_str(), e.what());
-        }
+    auto filename = split.prefix;
+    if (auto pos = split.prefix.rfind('/'); pos != std::string::npos) {
+        filename = split.prefix.substr(pos + 1);
     }
-    if (res_code == 0) {
-        if (std::filesystem::exists(cached_response_path)) {
-            LOG_WRN("trying to read manifest from cache: %s\n", cached_response_path.c_str());
-            res_str = read_file(cached_response_path);
-            res_code = 200;
-            use_cache = true;
-        } else {
-            throw std::runtime_error(
-                offline ? "error: failed to get manifest (offline mode)"
-                : "error: failed to get manifest (check your internet connection)");
-        }
+
+    auto parent_path = std::filesystem::path(model.path).parent_path();
+    auto prefix_path = (parent_path / filename).string();
+
+    std::vector<download_task> tasks;
+    for (int i = 1; i <= split.count; i++) {
+        auto suffix = string_format("-%05d-of-%05d.gguf", i, split.count);
+        tasks.push_back({split.prefix + suffix, prefix_path + suffix});
     }
-    std::string ggufFile;
-    std::string mmprojFile;
+    return tasks;
+}
 
-    if (res_code == 200 || res_code == 304) {
-        try {
-            auto j = json::parse(res_str);
+common_download_model_result common_download_model(const common_params_model  & model,
+                                                   const common_download_opts & opts,
+                                                   bool download_mmproj) {
+    common_download_model_result result;
+    std::vector<download_task> tasks;
+    hf_plan hf;
 
-            if (j.contains("ggufFile") && j["ggufFile"].contains("rfilename")) {
-                ggufFile = j["ggufFile"]["rfilename"].get<std::string>();
-            }
-            if (j.contains("mmprojFile") && j["mmprojFile"].contains("rfilename")) {
-                mmprojFile = j["mmprojFile"]["rfilename"].get<std::string>();
-            }
-        } catch (const std::exception & e) {
-            throw std::runtime_error(std::string("error parsing manifest JSON: ") + e.what());
+    bool is_hf = !model.hf_repo.empty();
+
+    if (is_hf) {
+        hf = get_hf_plan(model, opts, download_mmproj);
+        for (const auto & f : hf.model_files) {
+            tasks.push_back({f.url, f.local_path});
         }
-        if (!use_cache) {
-            // if not using cached response, update the cache file
-            write_file(cached_response_path, res_str);
+        if (!hf.mmproj.path.empty()) {
+            tasks.push_back({hf.mmproj.url, hf.mmproj.local_path});
         }
-    } else if (res_code == 401) {
-        throw std::runtime_error("error: model is private or does not exist; if you are accessing a gated model, please provide a valid HF token");
+    } else if (!model.url.empty()) {
+        tasks = get_url_tasks(model);
     } else {
-        throw std::runtime_error(string_format("error from HF API (%s), response code: %ld, data: %s", url.c_str(), res_code, res_str.c_str()));
+        result.model_path = model.path;
+        return result;
     }
 
-    // check response
-    if (ggufFile.empty()) {
-        throw std::runtime_error("error: model does not have ggufFile");
+    if (tasks.empty()) {
+        return result;
     }
 
-    return { hf_repo, ggufFile, mmprojFile };
+    std::vector<std::future<bool>> futures;
+    for (const auto & task : tasks) {
+        futures.push_back(std::async(std::launch::async,
+            [&task, &opts, is_hf]() {
+                int status = common_download_file_single(task.url, task.path, opts, is_hf);
+                return is_http_status_ok(status);
+            }
+        ));
+    }
+
+    for (auto & f : futures) {
+        if (!f.get()) {
+            return {};
+        }
+    }
+
+    if (is_hf) {
+        for (const auto & f : hf.model_files) {
+            hf_cache::finalize_file(f);
+        }
+        result.model_path = hf.primary.final_path;
+
+        if (!hf.mmproj.path.empty()) {
+            result.mmproj_path = hf_cache::finalize_file(hf.mmproj);
+        }
+    } else {
+        result.model_path = model.path;
+    }
+
+    return result;
 }
 
 //
@@ -751,7 +922,9 @@ std::string common_docker_resolve_model(const std::string & docker) {
         std::string local_path = fs_get_cache_file(model_filename);
 
         const std::string blob_url = url_prefix + "/blobs/" + gguf_digest;
-        const int http_status = common_download_file_single(blob_url, local_path, token, false, {});
+        common_download_opts opts;
+        opts.bearer_token = token;
+        const int http_status = common_download_file_single(blob_url, local_path, opts);
         if (!is_http_status_ok(http_status)) {
             throw std::runtime_error("Failed to download Docker Model");
         }
@@ -765,28 +938,21 @@ std::string common_docker_resolve_model(const std::string & docker) {
 }
 
 std::vector<common_cached_model_info> common_list_cached_models() {
-    std::vector<common_cached_model_info> models;
-    const std::string cache_dir = fs_get_cache_directory();
-    const std::vector<common_file_info> files = fs_list(cache_dir, false);
-    for (const auto & file : files) {
-        if (string_starts_with(file.name, "manifest=") && string_ends_with(file.name, ".json")) {
-            common_cached_model_info model_info;
-            model_info.manifest_path = file.path;
-            std::string fname = file.name;
-            string_replace_all(fname, ".json", ""); // remove extension
-            auto parts = string_split<std::string>(fname, '=');
-            if (parts.size() == 4) {
-                // expect format: manifest=<user>=<model>=<tag>=<other>
-                model_info.user  = parts[1];
-                model_info.model = parts[2];
-                model_info.tag   = parts[3];
-            } else {
-                // invalid format
-                continue;
-            }
-            model_info.size = 0; // TODO: get GGUF size, not manifest size
-            models.push_back(model_info);
+    std::unordered_set<std::string> seen;
+    std::vector<common_cached_model_info> result;
+
+    auto files = hf_cache::get_cached_files();
+
+    for (const auto & f : files) {
+        auto split = get_gguf_split_info(f.path);
+        if (split.index != 1 || split.tag.empty() ||
+            split.prefix.find("mmproj") != std::string::npos) {
+            continue;
+        }
+        if (seen.insert(f.repo_id + ":" + split.tag).second) {
+            result.push_back({f.repo_id, split.tag});
         }
     }
-    return models;
+
+    return result;
 }
diff --git a/common/download.h b/common/download.h
index 1c1d8e6db595f6458c6e9a635caf21a76191a8fa..edc3e9f1a71f6e70408c6473cbfb6002c5b889ff 100644
--- a/common/download.h
+++ b/common/download.h
@@ -8,6 +8,22 @@ struct common_params_model;
 using common_header      = std::pair<std::string, std::string>;
 using common_header_list = std::vector<common_header>;
 
+struct common_download_progress {
+    std::string url;
+    size_t downloaded = 0;
+    size_t total      = 0;
+    bool cached       = false;
+};
+
+class common_download_callback {
+public:
+    virtual ~common_download_callback() = default;
+    virtual void on_start(const common_download_progress & p) = 0;
+    virtual void on_update(const common_download_progress & p) = 0;
+    virtual void on_done(const common_download_progress & p, bool ok) = 0;
+    virtual bool is_cancelled() const { return false; }
+};
+
 struct common_remote_params {
     common_header_list headers;
     long timeout  = 0;           // in seconds, 0 means no timeout
@@ -17,55 +33,62 @@ struct common_remote_params {
 // get remote file content, returns <http_code, raw_response_body>
 std::pair<long, std::vector<char>> common_remote_get_content(const std::string & url, const common_remote_params & params);
 
-// split HF repo with tag into <repo, tag>
-// for example: "user/model:tag" -> <"user/model", "tag">
-// if tag is not present, default to "latest"
-// example: "user/model" -> <"user/model", "latest">
+// split HF repo with tag into <repo, tag>, for example:
+// - "ggml-org/models:F16" -> <"ggml-org/models", "F16">
+// tag is optional and can be empty
 std::pair<std::string, std::string> common_download_split_repo_tag(const std::string & hf_repo_with_tag);
 
+// Result of common_list_cached_models
 struct common_cached_model_info {
-    std::string manifest_path;
-    std::string user;
-    std::string model;
+    std::string repo;
     std::string tag;
-    size_t      size = 0; // GGUF size in bytes
-    // return string representation like "user/model:tag"
-    // if tag is "latest", it will be omitted
     std::string to_string() const {
-        return user + "/" + model + (tag == "latest" ? "" : ":" + tag);
+        return repo + ":" + tag;
     }
 };
 
-struct common_hf_file_res {
-    std::string repo; // repo name with ":tag" removed
-    std::string ggufFile;
-    std::string mmprojFile;
+// Options for common_download_model and common_download_file_single
+struct common_download_opts {
+    std::string bearer_token;
+    common_header_list headers;
+    bool offline = false;
+    common_download_callback * callback = nullptr;
 };
 
-/**
- * Allow getting the HF file from the HF repo with tag (like ollama), for example:
- * - bartowski/Llama-3.2-3B-Instruct-GGUF:q4
- * - bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
- * - bartowski/Llama-3.2-3B-Instruct-GGUF:q5_k_s
- * Tag is optional, default to "latest" (meaning it checks for Q4_K_M first, then Q4, then if not found, return the first GGUF file in repo)
- *
- * Return pair of <repo, file> (with "repo" already having tag removed)
- *
- * Note: we use the Ollama-compatible HF API, but not using the blobId. Instead, we use the special "ggufFile" field which returns the value for "hf_file". This is done to be backward-compatible with existing cache files.
- */
-common_hf_file_res common_get_hf_file(
-    const std::string & hf_repo_with_tag,
-    const std::string & bearer_token,
-    bool offline,
-    const common_header_list & headers = {}
-);
+// Result of common_download_model
+struct common_download_model_result {
+    std::string model_path;
+    std::string mmproj_path;
+};
 
-// returns true if download succeeded
-bool common_download_model(
+// Download model from HuggingFace repo or URL
+//
+// input (via model struct):
+// - model.hf_repo: HF repo with optional tag, see common_download_split_repo_tag
+// - model.hf_file: specific file in the repo (requires hf_repo)
+// - model.url: simple download (used if hf_repo is empty)
+// - model.path: local file path
+//
+// tag matching (for HF repos without model.hf_file):
+// - if tag is specified, searches for GGUF matching that quantization
+// - if no tag, searches for Q4_K_M, then Q4_0, then first available GGUF
+//
+// split GGUF: multi-part files like "model-00001-of-00003.gguf" are automatically
+// detected and all parts are downloaded
+//
+// caching:
+// - HF repos: uses HuggingFace cache
+// - URLs: uses ETag-based caching
+//
+// when opts.offline=true, no network requests are made
+// when download_mmproj=true, searches for mmproj in same directory as model or any parent directory
+// then with the closest quantization bits
+//
+// returns result with model_path and mmproj_path (empty on failure)
+common_download_model_result common_download_model(
     const common_params_model & model,
-    const std::string & bearer_token,
-    bool offline,
-    const common_header_list & headers = {}
+    const common_download_opts & opts = {},
+    bool download_mmproj = false
 );
 
 // returns list of cached models
@@ -73,11 +96,11 @@ std::vector<common_cached_model_info> common_list_cached_models();
 
 // download single file from url to local path
 // returns status code or -1 on error
+// skip_etag: if true, don't read/write .etag files (for HF cache where filename is the hash)
 int common_download_file_single(const std::string & url,
                                 const std::string & path,
-                                const std::string & bearer_token,
-                                bool offline,
-                                const common_header_list & headers = {});
+                                const common_download_opts & opts = {},
+                                bool skip_etag = false);
 
 // resolve and download model from Docker registry
 // return local path to downloaded model file
diff --git a/common/fit.cpp b/common/fit.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..4b952889070b810c9e908f32559309bfe7ca0a8a
--- /dev/null
+++ b/common/fit.cpp
@@ -0,0 +1,951 @@
+#include "fit.h"
+
+#include "log.h"
+
+#include "../src/llama-ext.h"
+
+#include <array>
+#include <cassert>
+#include <stdexcept>
+#include <cinttypes>
+#include <set>
+#include <string>
+#include <vector>
+
+// this enum is only used in llama_params_fit_impl but needs to be defined outside of it to fix a Windows compilation issue
+// enum to identify part of a layer for distributing its tensors:
+enum common_layer_fraction_t {
+    LAYER_FRACTION_NONE = 0, // nothing
+    LAYER_FRACTION_ATTN = 1, // attention
+    LAYER_FRACTION_UP   = 2, // attention + up
+    LAYER_FRACTION_GATE = 3, // attention + up + gate
+    LAYER_FRACTION_MOE  = 4, // everything but sparse MoE weights
+};
+
+class common_params_fit_exception : public std::runtime_error {
+    using std::runtime_error::runtime_error;
+};
+
+static std::vector<llama_device_memory_data> common_get_device_memory_data(
+        const char * path_model,
+        const llama_model_params * mparams,
+        const llama_context_params * cparams,
+        std::vector<ggml_backend_dev_t> & devs,
+        uint32_t & hp_ngl,
+        uint32_t & hp_n_ctx_train,
+        uint32_t & hp_n_expert,
+        ggml_log_level log_level) {
+    struct user_data_t {
+        struct {
+            ggml_log_callback callback;
+            void * user_data;
+        } original_logger;
+        ggml_log_level min_level; // prints below this log level go to debug log
+    };
+    user_data_t ud;
+    llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data);
+    ud.min_level = log_level;
+
+    llama_log_set([](ggml_log_level level, const char * text, void * user_data) {
+        const user_data_t * ud = (const user_data_t *) user_data;
+        const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG;
+        ud->original_logger.callback(level_eff, text, ud->original_logger.user_data);
+    }, &ud);
+
+    llama_model_params mparams_copy = *mparams;
+    mparams_copy.no_alloc  = true;
+    mparams_copy.use_mmap  = false;
+    mparams_copy.use_mlock = false;
+
+    llama_model * model = llama_model_load_from_file(path_model, mparams_copy);
+    if (model == nullptr) {
+        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+        throw std::runtime_error("failed to load model");
+    }
+
+    llama_context * ctx = llama_init_from_model(model, *cparams);
+    if (ctx == nullptr) {
+        llama_model_free(model);
+        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+        throw std::runtime_error("failed to create llama_context from model");
+    }
+
+    const size_t nd = llama_model_n_devices(model);
+    std::vector<llama_device_memory_data> ret(nd + 1);
+
+    llama_memory_breakdown memory_breakdown = llama_get_memory_breakdown(ctx);
+
+    for (const auto & [buft, mb] : memory_breakdown) {
+        if (ggml_backend_buft_is_host(buft)) {
+            ret.back().mb.model   += mb.model;
+            ret.back().mb.context += mb.context;
+            ret.back().mb.compute += mb.compute;
+            continue;
+        }
+
+        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
+        if (!dev) {
+            continue;
+        }
+        for (size_t i = 0; i < nd; i++) {
+            if (dev == llama_model_get_device(model, i)) {
+                ret[i].mb.model   += mb.model;
+                ret[i].mb.context += mb.context;
+                ret[i].mb.compute += mb.compute;
+                break;
+            }
+        }
+    }
+
+    {
+        ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
+        if (cpu_dev == nullptr) {
+            throw std::runtime_error("no CPU backend found");
+        }
+        size_t free;
+        size_t total;
+        ggml_backend_dev_memory(cpu_dev, &free, &total);
+        ret.back().free  = free;
+        ret.back().total = total;
+    }
+    for (size_t i = 0; i < nd; i++) {
+        size_t free;
+        size_t total;
+        ggml_backend_dev_memory(llama_model_get_device(model, i), &free, &total);
+
+        // devices can return 0 bytes for free and total memory if they do not
+        // have any to report. in this case, we will use the host memory as a fallback
+        // fixes: https://github.com/ggml-org/llama.cpp/issues/18577
+        if (free == 0 && total == 0) {
+            free  = ret.back().free;
+            total = ret.back().total;
+        }
+        ret[i].free  = free;
+        ret[i].total = total;
+    }
+
+    devs.clear();
+    for (int i = 0; i < llama_model_n_devices(model); i++) {
+        devs.push_back(llama_model_get_device(model, i));
+    }
+
+    hp_ngl         = llama_model_n_layer(model);
+    hp_n_ctx_train = llama_model_n_ctx_train(model);
+    hp_n_expert    = llama_model_n_expert(model);
+
+    common_memory_breakdown_print(ctx);
+
+    llama_free(ctx);
+    llama_model_free(model);
+    llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+
+    return ret;
+}
+
+static void common_params_fit_impl(
+        const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
+        float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
+        size_t * margins_s, uint32_t n_ctx_min, enum ggml_log_level log_level) {
+    if (mparams->split_mode == LLAMA_SPLIT_MODE_TENSOR) {
+        throw common_params_fit_exception("llama_params_fit is not implemented for SPLIT_MODE_TENSOR, abort");
+    }
+    constexpr int64_t MiB = 1024*1024;
+    typedef std::vector<llama_device_memory_data> dmds_t;
+    const llama_model_params default_mparams = llama_model_default_params();
+
+    std::vector<ggml_backend_dev_t> devs;
+    uint32_t hp_ngl = 0; // hparams.n_gpu_layers
+    uint32_t hp_nct = 0; // hparams.n_ctx_train
+    uint32_t hp_nex = 0; // hparams.n_expert
+
+    // step 1: get data for default parameters and check whether any changes are necessary in the first place
+
+    LOG_INF("%s: getting device memory data for initial parameters:\n", __func__);
+    const dmds_t dmds_full = common_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+    const size_t nd = devs.size(); // number of devices
+
+    std::vector<int64_t> margins; // this function uses int64_t rather than size_t for memory sizes to more conveniently handle deficits
+    margins.reserve(nd);
+    if (nd == 0) {
+        margins.push_back(margins_s[0]);
+    } else {
+        for (size_t id = 0; id < nd; id++) {
+            margins.push_back(margins_s[id]);
+        }
+    }
+
+    std::vector<std::string> dev_names;
+    {
+        dev_names.reserve(nd);
+        size_t max_length = 0;
+        for (const auto & dev : devs) {
+            std::string name = ggml_backend_dev_name(dev);
+            name += " (";
+            name += ggml_backend_dev_description(dev);
+            name += ")";
+            dev_names.push_back(name);
+            max_length = std::max(max_length, name.length());
+        }
+        for (std::string & dn : dev_names) {
+            dn.insert(dn.end(), max_length - dn.length(), ' ');
+        }
+    }
+
+    int64_t sum_free            = 0;
+    int64_t sum_projected_free  = 0;
+    int64_t sum_projected_used  = 0;
+    int64_t sum_projected_model = 0;
+    std::vector<int64_t> projected_free_per_device;
+    projected_free_per_device.reserve(nd);
+
+    if (nd == 0) {
+        sum_projected_used = dmds_full.back().mb.total();
+        sum_free           = dmds_full.back().total;
+        sum_projected_free = sum_free - sum_projected_used;
+        LOG_INF("%s: projected to use %" PRId64 " MiB of host memory vs. %" PRId64 " MiB of total host memory\n",
+            __func__, sum_projected_used/MiB, sum_free/MiB);
+        if (sum_projected_free >= margins[0]) {
+            LOG_INF("%s: will leave %" PRId64 " >= %" PRId64 " MiB of system memory, no changes needed\n",
+                __func__, sum_projected_free/MiB, margins[0]/MiB);
+            return;
+        }
+    } else {
+        if (nd > 1) {
+            LOG_INF("%s: projected memory use with initial parameters [MiB]:\n", __func__);
+        }
+        for (size_t id = 0; id < nd; id++) {
+            const llama_device_memory_data & dmd = dmds_full[id];
+
+            const int64_t projected_used = dmd.mb.total();
+            const int64_t projected_free = dmd.free - projected_used;
+            projected_free_per_device.push_back(projected_free);
+
+            sum_free            += dmd.free;
+            sum_projected_used  += projected_used;
+            sum_projected_free  += projected_free;
+            sum_projected_model += dmd.mb.model;
+
+            if (nd > 1) {
+                LOG_INF("%s:   - %s: %6" PRId64 " total, %6" PRId64 " used, %6" PRId64 " free vs. target of %6" PRId64 "\n",
+                    __func__, dev_names[id].c_str(), dmd.total/MiB, projected_used/MiB, projected_free/MiB, margins[id]/MiB);
+            }
+        }
+        assert(sum_free >= 0 && sum_projected_used >= 0);
+        LOG_INF("%s: projected to use %" PRId64 " MiB of device memory vs. %" PRId64 " MiB of free device memory\n",
+            __func__, sum_projected_used/MiB, sum_free/MiB);
+        if (nd == 1) {
+            if (projected_free_per_device[0] >= margins[0]) {
+                LOG_INF("%s: will leave %" PRId64 " >= %" PRId64 " MiB of free device memory, no changes needed\n",
+                    __func__, projected_free_per_device[0]/MiB, margins[0]/MiB);
+                return;
+            }
+        } else {
+            bool changes_needed = false;
+            for (size_t id = 0; id < nd; id++) {
+                if (projected_free_per_device[id] < margins[id]) {
+                    changes_needed = true;
+                    break;
+                }
+            }
+            if (!changes_needed) {
+                LOG_INF("%s: targets for free memory can be met on all devices, no changes needed\n", __func__);
+                return;
+            }
+        }
+    }
+
+    // step 2: try reducing memory use by reducing the context size
+
+    {
+        int64_t global_surplus = sum_projected_free;
+        if (nd == 0) {
+            global_surplus -= margins[0];
+        } else {
+            for (size_t id = 0; id < nd; id++) {
+                global_surplus -= margins[id];
+            }
+        }
+        if (global_surplus < 0) {
+            if (nd <= 1) {
+                LOG_INF("%s: cannot meet free memory target of %" PRId64 " MiB, need to reduce device memory by %" PRId64 " MiB\n",
+                    __func__, margins[0]/MiB, -global_surplus/MiB);
+            } else {
+                LOG_INF(
+                    "%s: cannot meet free memory targets on all devices, need to use %" PRId64 " MiB less in total\n",
+                    __func__, -global_surplus/MiB);
+            }
+            if (cparams->n_ctx == 0) {
+                if (hp_nct > n_ctx_min) {
+                    int64_t sum_used_target = sum_free;
+                    if (nd == 0) {
+                        sum_used_target -= margins[0];
+                    } else {
+                        for (size_t id = 0; id < nd; id++) {
+                            sum_used_target -= margins[id];
+                        }
+                    }
+                    if (nd > 1) {
+                        // for multiple devices we need to be more conservative in terms of how much context we think can fit:
+                        //   - for dense models only whole layers can be assigned to devices
+                        //   - for MoE models only whole tensors can be assigned to devices, which we estimate to be <= 1/3 of a layer
+                        //   - on average we expect a waste of 0.5 layers/tensors per device
+                        //   - use slightly more than the expected average for nd devices to be safe
+                        const int64_t model_per_layer = sum_projected_model / std::min(uint32_t(mparams->n_gpu_layers), hp_ngl);
+                        sum_used_target -= (nd + 1) * model_per_layer / (hp_nex == 0 ? 2 : 6);
+                    }
+
+                    int64_t sum_projected_used_min_ctx = 0;
+                    cparams->n_ctx = n_ctx_min;
+                    const dmds_t dmds_min_ctx = common_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+                    if (nd == 0) {
+                        sum_projected_used_min_ctx = dmds_min_ctx.back().mb.total();
+                    } else {
+                        for (size_t id = 0; id < nd; id++) {
+                            sum_projected_used_min_ctx += dmds_min_ctx[id].mb.total();
+                        }
+                    }
+                    if (sum_used_target > sum_projected_used_min_ctx) {
+                        // linear interpolation between minimum and maximum context size:
+                        cparams->n_ctx += (hp_nct - n_ctx_min) * (sum_used_target - sum_projected_used_min_ctx)
+                            / (sum_projected_used - sum_projected_used_min_ctx);
+                        cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % 256, n_ctx_min); // round down context for CUDA backend
+
+                        const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (hp_nct - n_ctx_min);
+                        const int64_t memory_reduction = (hp_nct - cparams->n_ctx) * bytes_per_ctx;
+                        LOG_INF("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
+                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
+                        if (nd <= 1) {
+                            LOG_INF("%s: entire model can be fit by reducing context\n", __func__);
+                            return;
+                        }
+                        LOG_INF("%s: entire model should be fit across devices by reducing context\n", __func__);
+                    } else {
+                        const int64_t memory_reduction = sum_projected_used - sum_projected_used_min_ctx;
+                        LOG_INF("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
+                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
+                    }
+                } else {
+                    if (n_ctx_min == UINT32_MAX) {
+                        LOG_INF("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, hp_nct);
+                    } else {
+                        LOG_INF("%s: default model context size is %" PRIu32 " which is <= the min. context size of %" PRIu32 " -> no change\n",
+                            __func__, hp_nct, n_ctx_min);
+                    }
+                }
+            } else {
+                LOG_INF("%s: context size set by user to %" PRIu32 " -> no change\n", __func__, cparams->n_ctx);
+            }
+        }
+    }
+    if (nd == 0) {
+        throw common_params_fit_exception("was unable to fit model into system memory by reducing context, abort");
+    }
+
+    if (mparams->n_gpu_layers != default_mparams.n_gpu_layers) {
+        throw common_params_fit_exception("n_gpu_layers already set by user to " + std::to_string(mparams->n_gpu_layers) + ", abort");
+    }
+    if (nd > 1) {
+        if (!tensor_split) {
+            throw common_params_fit_exception("did not provide a buffer to write the tensor_split to, abort");
+        }
+        if (mparams->tensor_split) {
+            for (size_t id = 0; id < nd; id++) {
+                if (mparams->tensor_split[id] != 0.0f) {
+                    throw common_params_fit_exception("model_params::tensor_split already set by user, abort");
+                }
+            }
+        }
+        if (mparams->split_mode == LLAMA_SPLIT_MODE_ROW) {
+            throw common_params_fit_exception("changing weight allocation for LLAMA_SPLIT_MODE_ROW not implemented, abort");
+        }
+    }
+    if (!tensor_buft_overrides) {
+        throw common_params_fit_exception("did not provide buffer to set tensor_buft_overrides, abort");
+    }
+    if (mparams->tensor_buft_overrides && (mparams->tensor_buft_overrides->pattern || mparams->tensor_buft_overrides->buft)) {
+        throw common_params_fit_exception("model_params::tensor_buft_overrides already set by user, abort");
+    }
+
+    // step 3: iteratively fill the back to front with "dense" layers
+    //   - for a dense model simply fill full layers, giving each device a contiguous slice of the model
+    //   - for a MoE model, same as dense model but with all MoE tensors in system memory
+
+    // utility function that returns a static C string matching the tensors for a specific layer index and layer fraction:
+    auto get_overflow_pattern = [&](const size_t il, const common_layer_fraction_t lf) -> const char * {
+        constexpr size_t n_strings = 1000;
+        if (il >= n_strings) {
+            throw std::runtime_error("at most " + std::to_string(n_strings) + " model layers are supported");
+        }
+        switch (lf) {
+            case LAYER_FRACTION_ATTN: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|up|gate_up|down).*";
+                }
+                return patterns[il].c_str();
+            }
+            case LAYER_FRACTION_UP: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|gate_up|down).*";
+                }
+                return patterns[il].c_str();
+            }
+            case LAYER_FRACTION_GATE: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_down.*";
+                }
+                return patterns[il].c_str();
+            }
+            case LAYER_FRACTION_MOE: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(up|down|gate_up|gate)_(ch|)exps";
+                }
+                return patterns[il].c_str();
+            }
+            default:
+                GGML_ABORT("fatal error");
+        }
+    };
+
+    struct ngl_t {
+        uint32_t n_layer = 0; // number of total layers
+        uint32_t n_part  = 0; // number of partial layers, <= n_layer
+
+        // for the first partial layer varying parts can overflow, all further layers use LAYER_FRACTION_MOE:
+        common_layer_fraction_t overflow_type = LAYER_FRACTION_MOE;
+
+        uint32_t n_full() const {
+            assert(n_layer >= n_part);
+            return n_layer - n_part;
+        }
+    };
+
+    const size_t ntbo = llama_max_tensor_buft_overrides();
+
+    // utility function to set n_gpu_layers and tensor_split
+    auto set_ngl_tensor_split_tbo = [&](
+            const std::vector<ngl_t> & ngl_per_device,
+            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts,
+            llama_model_params & mparams) {
+        mparams.n_gpu_layers = 0;
+        for (size_t id = 0; id < nd; id++) {
+            mparams.n_gpu_layers += ngl_per_device[id].n_layer;
+            if (nd > 1) {
+                tensor_split[id] = ngl_per_device[id].n_layer;
+            }
+        }
+        assert(uint32_t(mparams.n_gpu_layers) <= hp_ngl + 1);
+        uint32_t il0 = hp_ngl + 1 - mparams.n_gpu_layers; // start index for tensor buft overrides
+
+        mparams.tensor_split = tensor_split;
+
+        size_t itbo = 0;
+        for (size_t id = 0; id < nd; id++) {
+            il0 += ngl_per_device[id].n_full();
+            for (uint32_t il = il0; il < il0 + ngl_per_device[id].n_part; il++) {
+                if (itbo + 1 >= ntbo) {
+                    tensor_buft_overrides[itbo].pattern = nullptr;
+                    tensor_buft_overrides[itbo].buft    = nullptr;
+                    itbo++;
+                    mparams.tensor_buft_overrides = tensor_buft_overrides;
+                    throw common_params_fit_exception("llama_max_tensor_buft_overrides() == "
+                        + std::to_string(ntbo) + " is insufficient for model");
+                }
+                tensor_buft_overrides[itbo].pattern = get_overflow_pattern(il, il == il0 ? ngl_per_device[id].overflow_type : LAYER_FRACTION_MOE);
+                tensor_buft_overrides[itbo].buft = il == il0 ? overflow_bufts[id] : ggml_backend_cpu_buffer_type();
+                itbo++;
+            }
+            il0 += ngl_per_device[id].n_part;
+        }
+        tensor_buft_overrides[itbo].pattern = nullptr;
+        tensor_buft_overrides[itbo].buft    = nullptr;
+        itbo++;
+        mparams.tensor_buft_overrides = tensor_buft_overrides;
+    };
+
+    // utility function that returns the memory use per device for given numbers of layers per device
+    auto get_memory_for_layers = [&](
+            const char * func_name,
+            const std::vector<ngl_t> & ngl_per_device,
+            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts) -> std::vector<int64_t> {
+        llama_model_params mparams_copy = *mparams;
+        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, mparams_copy);
+
+        const dmds_t dmd_nl = common_get_device_memory_data(
+            path_model, &mparams_copy, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+
+        LOG_INF("%s: memory for test allocation by device:\n", func_name);
+        for (size_t id = 0; id < nd; id++) {
+            const ngl_t & n = ngl_per_device[id];
+            LOG_INF(
+                "%s: id=%zu, n_layer=%2" PRIu32 ", n_part=%2" PRIu32 ", overflow_type=%d, mem=%6" PRId64 " MiB\n",
+                func_name, id, n.n_layer, n.n_part, int(n.overflow_type), dmd_nl[id].mb.total()/MiB);
+        }
+
+        std::vector<int64_t> ret;
+        ret.reserve(nd);
+        for (size_t id = 0; id < nd; id++) {
+            ret.push_back(dmd_nl[id].mb.total());
+        }
+        return ret;
+    };
+
+    int64_t global_surplus_cpu_moe = 0;
+    if (hp_nex > 0) {
+        const static std::string pattern_moe_all = "blk\\.\\d+\\.ffn_(up|down|gate_up|gate)_(ch|)exps"; // matches all MoE tensors
+        ggml_backend_buffer_type_t cpu_buft = ggml_backend_cpu_buffer_type();
+        tensor_buft_overrides[0] = {pattern_moe_all.c_str(), cpu_buft};
+        tensor_buft_overrides[1] = {nullptr, nullptr};
+        mparams->tensor_buft_overrides = tensor_buft_overrides;
+
+        LOG_INF("%s: getting device memory data with all MoE tensors moved to system memory:\n", __func__);
+        const dmds_t dmds_cpu_moe = common_get_device_memory_data(
+            path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+
+        for (size_t id = 0; id < nd; id++) {
+            global_surplus_cpu_moe += dmds_cpu_moe[id].free;
+            global_surplus_cpu_moe -= int64_t(dmds_cpu_moe[id].mb.total()) + margins[id];
+        }
+
+        if (global_surplus_cpu_moe > 0) {
+            LOG_INF("%s: with only dense weights in device memory there is a total surplus of %" PRId64 " MiB\n",
+                __func__, global_surplus_cpu_moe/MiB);
+        } else {
+            LOG_INF("%s: with only dense weights in device memory there is still a total deficit of %" PRId64 " MiB\n",
+                __func__, -global_surplus_cpu_moe/MiB);
+        }
+
+        // reset
+        tensor_buft_overrides[0] = {nullptr, nullptr};
+        mparams->tensor_buft_overrides = tensor_buft_overrides;
+    }
+
+    std::vector<int64_t> targets; // maximum acceptable memory use per device
+    targets.reserve(nd);
+    for (size_t id = 0; id < nd; id++) {
+        targets.push_back(dmds_full[id].free - margins[id]);
+        LOG_INF("%s: id=%zu, target=%" PRId64 " MiB\n", __func__, id, targets[id]/MiB);
+    }
+
+    std::vector<ggml_backend_buffer_type_t> overflow_bufts; // which bufts the first partial layer of a device overflows to:
+    overflow_bufts.reserve(nd);
+    for (size_t id = 0; id < nd; id++) {
+        overflow_bufts.push_back(ggml_backend_cpu_buffer_type());
+    }
+
+    std::vector<ngl_t> ngl_per_device(nd);
+    std::vector<int64_t> mem = get_memory_for_layers(__func__, ngl_per_device, overflow_bufts);
+
+    // optimize the number of layers per device using the method of false position:
+    //   - ngl_per_device has 0 layers for each device, lower bound
+    //   - try a "high" configuration where a device is given all unassigned layers
+    //   - interpolate the memory use / layer between low and high linearly to get a guess where it meets our target
+    //   - check memory use of our guess, replace either the low or high bound
+    //   - once we only have a difference of a single layer, stop and return the lower bound that just barely still fits
+    //   - the last device has the output layer, which cannot be a partial layer
+    if (hp_nex == 0) {
+        LOG_INF("%s: filling dense layers back-to-front:\n", __func__);
+    } else {
+        LOG_INF("%s: filling dense-only layers back-to-front:\n", __func__);
+    }
+    for (int id = nd - 1; id >= 0; id--) {
+        uint32_t n_unassigned = hp_ngl + 1;
+        for (size_t jd = id + 1; jd < nd; ++jd) {
+            assert(n_unassigned >= ngl_per_device[jd].n_layer);
+            n_unassigned -= ngl_per_device[jd].n_layer;
+        }
+
+        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
+        ngl_per_device_high[id].n_layer = n_unassigned;
+        if (hp_nex > 0) {
+            ngl_per_device_high[id].n_part = size_t(id) < nd - 1 ? ngl_per_device_high[id].n_layer : ngl_per_device_high[id].n_layer - 1;
+        }
+        if (ngl_per_device_high[id].n_layer > 0) {
+            std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
+            if (mem_high[id] > targets[id]) {
+                assert(ngl_per_device_high[id].n_layer > ngl_per_device[id].n_layer);
+                uint32_t delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
+                LOG_INF("%s: start filling device %" PRIu32 ", delta=%" PRIu32 "\n", __func__, id, delta);
+                while (delta > 1) {
+                    uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
+                    step_size = std::max(step_size, uint32_t(1));
+                    step_size = std::min(step_size, delta - 1);
+
+                    std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
+                    ngl_per_device_test[id].n_layer += step_size;
+                    if (hp_nex) {
+                        ngl_per_device_test[id].n_part += size_t(id) == nd - 1 && ngl_per_device_test[id].n_part == 0 ?
+                            step_size - 1 : step_size; // the first layer is the output layer which must always be full
+                    }
+                    const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
+
+                    if (mem_test[id] <= targets[id]) {
+                        ngl_per_device = ngl_per_device_test;
+                        mem            = mem_test;
+                        LOG_INF("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
+                    } else {
+                        ngl_per_device_high = ngl_per_device_test;
+                        mem_high            = mem_test;
+                        LOG_INF("%s: set ngl_per_device_high[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device_high[id].n_layer);
+                    }
+                    delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
+                }
+            } else {
+                assert(ngl_per_device_high[id].n_layer == n_unassigned);
+                ngl_per_device = ngl_per_device_high;
+                mem            = mem_high;
+                LOG_INF("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
+            }
+        }
+
+        const int64_t projected_margin = dmds_full[id].free - mem[id];
+        LOG_INF(
+            "%s:   - %s: %2" PRIu32 " layers, %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
+            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, mem[id]/MiB, projected_margin/MiB);
+    }
+    if (hp_nex == 0 || global_surplus_cpu_moe <= 0) {
+        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
+        return;
+    }
+
+    // step 4: for a MoE model where all dense tensors fit,
+    //     convert the dense-only layers in the back to full layers in the front until all devices are full
+    // essentially the same procedure as for the dense-only layers except front-to-back
+    // also, try fitting at least part of one more layer to reduce waste for "small" GPUs with e.g. 24 GiB VRAM
+
+    size_t id_dense_start = nd;
+    for (int id = nd - 1; id >= 0; id--) {
+        if (ngl_per_device[id].n_layer > 0) {
+            id_dense_start = id;
+            continue;
+        }
+        break;
+    }
+    assert(id_dense_start < nd);
+
+    LOG_INF("%s: converting dense-only layers to full layers and filling them front-to-back with overflow to next device/system memory:\n", __func__);
+    for (size_t id = 0; id <= id_dense_start && id_dense_start < nd; id++) {
+        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
+        for (size_t jd = id_dense_start; jd < nd; jd++) {
+            const uint32_t n_layer_move = jd < nd - 1 ? ngl_per_device_high[jd].n_layer : ngl_per_device_high[jd].n_layer - 1;
+            ngl_per_device_high[id].n_layer += n_layer_move;
+            ngl_per_device_high[jd].n_layer -= n_layer_move;
+            ngl_per_device_high[jd].n_part = 0;
+        }
+        size_t id_dense_start_high = nd - 1;
+        std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
+
+        if (mem_high[id] > targets[id]) {
+            assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
+            uint32_t delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
+            while (delta > 1) {
+                uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
+                step_size = std::max(step_size, uint32_t(1));
+                step_size = std::min(step_size, delta - 1);
+
+                std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
+                size_t id_dense_start_test = id_dense_start;
+                uint32_t n_converted_test = 0;
+                for (;id_dense_start_test < nd; id_dense_start_test++) {
+                    const uint32_t n_convert_jd = std::min(step_size - n_converted_test, ngl_per_device_test[id_dense_start_test].n_part);
+                    ngl_per_device_test[id_dense_start_test].n_layer -= n_convert_jd;
+                    ngl_per_device_test[id_dense_start_test].n_part -= n_convert_jd;
+                    ngl_per_device_test[id].n_layer += n_convert_jd;
+                    n_converted_test += n_convert_jd;
+
+                    if (ngl_per_device_test[id_dense_start_test].n_part > 0) {
+                        break;
+                    }
+                }
+                const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
+
+                if (mem_test[id] <= targets[id]) {
+                    ngl_per_device = ngl_per_device_test;
+                    mem            = mem_test;
+                    id_dense_start = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
+                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+                } else {
+                    ngl_per_device_high = ngl_per_device_test;
+                    mem_high            = mem_test;
+                    id_dense_start_high = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device_high[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start_high=%zu\n",
+                        __func__, id, ngl_per_device_high[id].n_layer, ngl_per_device_high[id].n_part, id_dense_start_high);
+                }
+                assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
+                delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
+            }
+        } else {
+            ngl_per_device = ngl_per_device_high;
+            mem            = mem_high;
+            id_dense_start = id_dense_start_high;
+            LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
+                __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+        }
+
+        // try to fit at least part of one more layer
+        if (ngl_per_device[id_dense_start].n_layer > (id < nd - 1 ? 0 : 1)) {
+            std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
+            size_t id_dense_start_test = id_dense_start;
+            ngl_per_device_test[id_dense_start_test].n_layer--;
+            ngl_per_device_test[id_dense_start_test].n_part--;
+            ngl_per_device_test[id].n_layer++;
+            ngl_per_device_test[id].n_part++;
+            if (ngl_per_device_test[id_dense_start_test].n_part == 0) {
+                id_dense_start_test++;
+            }
+            ngl_per_device_test[id].overflow_type = LAYER_FRACTION_UP;
+            std::vector<ggml_backend_buffer_type_t> overflow_bufts_test = overflow_bufts;
+            if (id < nd - 1) {
+                overflow_bufts_test[id] = ggml_backend_dev_buffer_type(devs[id + 1]);
+            }
+            LOG_INF("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_UP\n", __func__);
+            std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
+            if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
+                ngl_per_device = ngl_per_device_test;
+                overflow_bufts = overflow_bufts_test;
+                mem            = mem_test;
+                id_dense_start = id_dense_start_test;
+                LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", UP), id_dense_start=%zu\n",
+                    __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+
+                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_GATE;
+                LOG_INF("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_GATE\n", __func__);
+                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
+                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
+                    ngl_per_device = ngl_per_device_test;
+                    overflow_bufts = overflow_bufts_test;
+                    mem            = mem_test;
+                    id_dense_start = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", GATE), id_dense_start=%zu\n",
+                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+                }
+            } else {
+                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_ATTN;
+                LOG_INF("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_ATTN\n", __func__);
+                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
+                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
+                    ngl_per_device = ngl_per_device_test;
+                    overflow_bufts = overflow_bufts_test;
+                    mem            = mem_test;
+                    id_dense_start = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", ATTN), id_dense_start=%zu\n",
+                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+                }
+            }
+        }
+
+        const int64_t projected_margin = dmds_full[id].free - mem[id];
+        LOG_INF(
+            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
+            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
+    }
+
+    // print info for devices that were not changed during the conversion from dense only to full layers:
+    for (size_t id = id_dense_start + 1; id < nd; id++) {
+        const int64_t projected_margin = dmds_full[id].free - mem[id];
+        LOG_INF(
+            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
+            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
+    }
+
+    set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
+}
+
+enum common_params_fit_status common_fit_params(
+        const char * path_model,
+        llama_model_params * mparams,
+        llama_context_params * cparams,
+        float * tensor_split,
+        llama_model_tensor_buft_override * tensor_buft_overrides,
+        size_t * margins,
+        uint32_t n_ctx_min,
+        ggml_log_level log_level) {
+    const int64_t t0_us = llama_time_us();
+    common_params_fit_status status = COMMON_PARAMS_FIT_STATUS_SUCCESS;
+    try {
+        common_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, log_level);
+        LOG_INF("%s: successfully fit params to free device memory\n", __func__);
+    } catch (const common_params_fit_exception & e) {
+        LOG_WRN("%s: failed to fit params to free device memory: %s\n", __func__, e.what());
+        status = COMMON_PARAMS_FIT_STATUS_FAILURE;
+    } catch (const std::runtime_error & e) {
+        LOG_ERR("%s: encountered an error while trying to fit params to free device memory: %s\n", __func__, e.what());
+        status = COMMON_PARAMS_FIT_STATUS_ERROR;
+    }
+    const int64_t t1_us = llama_time_us();
+    LOG_INF("%s: fitting params to free memory took %.2f seconds\n", __func__, (t1_us - t0_us) * 1e-6);
+    return status;
+}
+
+void common_memory_breakdown_print(const struct llama_context * ctx) {
+    //const auto & devices = ctx->get_model().devices;
+    const auto * model = llama_get_model(ctx);
+
+    std::vector<ggml_backend_dev_t> devices;
+    for (int i = 0; i < llama_model_n_devices(model); i++) {
+        devices.push_back(llama_model_get_device(model, i));
+    }
+
+    llama_memory_breakdown memory_breakdown = llama_get_memory_breakdown(ctx);
+
+    std::vector<std::array<std::string, 9>> table_data;
+    table_data.reserve(devices.size());
+    const std::string template_header = "%s: | %s | %s   %s    %s   %s   %s   %s    %s |\n";
+    const std::string template_gpu    = "%s: | %s | %s = %s + (%s = %s + %s + %s) + %s |\n";
+    const std::string template_other  = "%s: | %s | %s   %s    %s = %s + %s + %s    %s |\n";
+
+    table_data.push_back({template_header, "memory breakdown [MiB]", "total", "free", "self", "model", "context", "compute", "unaccounted"});
+
+    constexpr size_t MiB = 1024 * 1024;
+    const std::vector<std::string> desc_prefixes_strip = {"NVIDIA ", "GeForce ", "Tesla ", "AMD ", "Radeon ", "Instinct "};
+
+    // track seen buffer types to avoid double counting:
+    std::set<ggml_backend_buffer_type_t> seen_buffer_types;
+
+    // accumulative memory breakdown for each device and for host:
+    std::vector<llama_memory_breakdown_data> mb_dev(devices.size());
+    llama_memory_breakdown_data              mb_host;
+
+    for (const auto & buft_mb : memory_breakdown) {
+        ggml_backend_buffer_type_t          buft = buft_mb.first;
+        const llama_memory_breakdown_data & mb   = buft_mb.second;
+        if (ggml_backend_buft_is_host(buft)) {
+            mb_host.model   += mb.model;
+            mb_host.context += mb.context;
+            mb_host.compute += mb.compute;
+            seen_buffer_types.insert(buft);
+            continue;
+        }
+        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
+        if (dev) {
+            int i_dev = -1;
+            for (size_t i = 0; i < devices.size(); i++) {
+                if (devices[i] == dev) {
+                    i_dev = i;
+                    break;
+                }
+            }
+            if (i_dev != -1) {
+                mb_dev[i_dev].model   += mb.model;
+                mb_dev[i_dev].context += mb.context;
+                mb_dev[i_dev].compute += mb.compute;
+                seen_buffer_types.insert(buft);
+                continue;
+            }
+        }
+    }
+
+    // print memory breakdown for each device:
+    for (size_t i = 0; i < devices.size(); i++) {
+        ggml_backend_dev_t dev = devices[i];
+        llama_memory_breakdown_data mb = mb_dev[i];
+
+        const std::string name = ggml_backend_dev_name(dev);
+        std::string desc = ggml_backend_dev_description(dev);
+        for (const std::string & prefix : desc_prefixes_strip) {
+            if (desc.length() >= prefix.length() && desc.substr(0, prefix.length()) == prefix) {
+                desc = desc.substr(prefix.length());
+            }
+        }
+
+        size_t free, total;
+        ggml_backend_dev_memory(dev, &free, &total);
+
+        const size_t self = mb.model + mb.context + mb.compute;
+        const size_t unaccounted = total - self - free;
+
+        table_data.push_back({
+            template_gpu,
+            "  - " + name + " (" + desc + ")",
+            std::to_string(total / MiB),
+            std::to_string(free / MiB),
+            std::to_string(self / MiB),
+            std::to_string(mb.model / MiB),
+            std::to_string(mb.context / MiB),
+            std::to_string(mb.compute / MiB),
+            std::to_string(unaccounted / MiB)});
+    }
+
+    // print memory breakdown for host:
+    {
+        const size_t self = mb_host.model + mb_host.context + mb_host.compute;
+        table_data.push_back({
+            template_other,
+            "  - Host",
+            "", // total
+            "", // free
+            std::to_string(self / MiB),
+            std::to_string(mb_host.model / MiB),
+            std::to_string(mb_host.context / MiB),
+            std::to_string(mb_host.compute / MiB),
+            ""}); // unaccounted
+    }
+
+    // print memory breakdown for all remaining buffer types:
+    for (const auto & buft_mb : memory_breakdown) {
+        ggml_backend_buffer_type_t          buft = buft_mb.first;
+        const llama_memory_breakdown_data & mb   = buft_mb.second;
+        if (seen_buffer_types.count(buft) == 1) {
+            continue;
+        }
+        const std::string name = ggml_backend_buft_name(buft);
+        const size_t self = mb.model + mb.context + mb.compute;
+        table_data.push_back({
+            template_other,
+            "  - " + name,
+            "", // total
+            "", // free
+            std::to_string(self / MiB),
+            std::to_string(mb.model / MiB),
+            std::to_string(mb.context / MiB),
+            std::to_string(mb.compute / MiB),
+            ""}); // unaccounted
+        seen_buffer_types.insert(buft);
+    }
+
+    for (size_t j = 1; j < table_data[0].size(); j++) {
+        size_t max_len = 0;
+        for (const auto & td : table_data) {
+            max_len = std::max(max_len, td[j].length());
+        }
+        for (auto & td : table_data) {
+            td[j].insert(j == 1 ? td[j].length() : 0, max_len - td[j].length(), ' ');
+        }
+    }
+    for (const auto & td : table_data) {
+        LOG_INF(td[0].c_str(),
+            __func__, td[1].c_str(), td[2].c_str(), td[3].c_str(), td[4].c_str(), td[5].c_str(),
+            td[6].c_str(), td[7].c_str(), td[8].c_str());
+    }
+}
+
+void common_fit_print(
+        const char * path_model,
+        llama_model_params * mparams,
+        llama_context_params * cparams) {
+    std::vector<ggml_backend_dev_t> devs;
+    uint32_t hp_ngl = 0; // hparams.n_gpu_layers
+    uint32_t hp_nct = 0; // hparams.n_ctx_train
+    uint32_t hp_nex = 0; // hparams.n_expert
+
+    auto dmd = common_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, GGML_LOG_LEVEL_ERROR);
+    GGML_ASSERT(dmd.size() == devs.size() + 1);
+
+    for (size_t id = 0; id < devs.size(); id++) {
+        printf("%s ",  ggml_backend_dev_name(devs[id]));
+        printf("%zu ", dmd[id].mb.model/1024/1024);
+        printf("%zu ", dmd[id].mb.context/1024/1024);
+        printf("%zu ", dmd[id].mb.compute/1024/1024);
+        printf("\n");
+    }
+
+    printf("Host ");
+    printf("%zu ", dmd.back().mb.model/1024/1024);
+    printf("%zu ", dmd.back().mb.context/1024/1024);
+    printf("%zu ", dmd.back().mb.compute/1024/1024);
+    printf("\n");
+}
diff --git a/common/fit.h b/common/fit.h
new file mode 100644
index 0000000000000000000000000000000000000000..e066092ec6c97860f88d4563cc53459a6d1afe31
--- /dev/null
+++ b/common/fit.h
@@ -0,0 +1,32 @@
+#pragma once
+
+#include "ggml.h"
+
+enum common_params_fit_status {
+    COMMON_PARAMS_FIT_STATUS_SUCCESS = 0, // found allocations that are projected to fit
+    COMMON_PARAMS_FIT_STATUS_FAILURE = 1, // could not find allocations that are projected to fit
+    COMMON_PARAMS_FIT_STATUS_ERROR   = 2, // a hard error occurred, e.g. because no model could be found at the specified path
+};
+
+// fits mparams and cparams to free device memory (assumes system memory is unlimited)
+//   - returns true if the parameters could be successfully modified to fit device memory
+//   - this function is NOT thread safe because it modifies the global llama logger state
+//   - only parameters that have the same value as in llama_default_model_params are modified
+//     with the exception of the context size which is modified if and only if equal to 0
+enum common_params_fit_status common_fit_params(
+                               const char   * path_model,
+                struct llama_model_params   * mparams,
+                struct llama_context_params * cparams,
+                                      float * tensor_split,          // writable buffer for tensor split, needs at least llama_max_devices elements
+    struct llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
+                                     size_t * margins,               // margins of memory to leave per device in bytes
+                                   uint32_t   n_ctx_min,             // minimum context size to set when trying to reduce memory use
+                        enum ggml_log_level   log_level);            // minimum log level to print during fitting, lower levels go to debug log
+
+// print estimated memory to stdout
+void common_fit_print(
+                               const char   * path_model,
+                struct llama_model_params   * mparams,
+                struct llama_context_params * cparams);
+
+void common_memory_breakdown_print(const struct llama_context * ctx);
diff --git a/common/hf-cache.cpp b/common/hf-cache.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..ea5b2150de4a0af9c8549d922da0384aeda2ab58
--- /dev/null
+++ b/common/hf-cache.cpp
@@ -0,0 +1,772 @@
+#include "hf-cache.h"
+
+#include "build-info.h"
+#include "common.h"
+#include "log.h"
+#include "http.h"
+
+#define JSON_ASSERT GGML_ASSERT
+#include <nlohmann/json.hpp>
+
+#include <filesystem>
+#include <fstream>
+#include <atomic>
+#include <regex> // migration only
+#include <string>
+#include <string_view>
+#include <stdexcept>
+
+namespace nl = nlohmann;
+
+#if defined(_WIN32)
+#define WIN32_LEAN_AND_MEAN
+#ifndef NOMINMAX
+#define NOMINMAX
+#endif
+#define HOME_DIR "USERPROFILE"
+#include <windows.h>
+#else
+#define HOME_DIR "HOME"
+#include <unistd.h>
+#include <pwd.h>
+#endif
+
+namespace hf_cache {
+
+namespace fs = std::filesystem;
+
+static fs::path get_cache_directory() {
+    static const fs::path cache = []() {
+        struct {
+            const char * var;
+            fs::path path;
+        } entries[] = {
+            {"LLAMA_CACHE",           fs::path()},
+            {"HF_HUB_CACHE",          fs::path()},
+            {"HUGGINGFACE_HUB_CACHE", fs::path()},
+            {"HF_HOME",               fs::path("hub")},
+            {"XDG_CACHE_HOME",        fs::path("huggingface") / "hub"},
+            {HOME_DIR,                fs::path(".cache") / "huggingface" / "hub"}
+        };
+        for (const auto & entry : entries) {
+            if (auto * p = std::getenv(entry.var); p && *p) {
+                fs::path base(p);
+                return entry.path.empty() ? base : base / entry.path;
+            }
+        }
+#ifndef _WIN32
+        const struct passwd * pw = getpwuid(getuid());
+
+        if (pw->pw_dir && *pw->pw_dir) {
+            return fs::path(pw->pw_dir) / ".cache" / "huggingface" / "hub";
+        }
+#endif
+        throw std::runtime_error("Failed to determine HF cache directory");
+    }();
+
+    return cache;
+}
+
+static std::string folder_name_to_repo(const std::string & folder) {
+    constexpr std::string_view prefix = "models--";
+    if (folder.rfind(prefix, 0)) {
+        return {};
+    }
+    std::string result = folder.substr(prefix.length());
+    string_replace_all(result, "--", "/");
+    return result;
+}
+
+static std::string repo_to_folder_name(const std::string & repo_id) {
+    constexpr std::string_view prefix = "models--";
+    std::string result = std::string(prefix) + repo_id;
+    string_replace_all(result, "/", "--");
+    return result;
+}
+
+static fs::path get_repo_path(const std::string & repo_id) {
+    return get_cache_directory() / repo_to_folder_name(repo_id);
+}
+
+static bool is_hex_char(const char c) {
+    return (c >= 'A' && c <= 'F') ||
+           (c >= 'a' && c <= 'f') ||
+           (c >= '0' && c <= '9');
+}
+
+static bool is_hex_string(const std::string & s, size_t expected_len) {
+    if (s.length() != expected_len) {
+        return false;
+    }
+    for (const char c : s) {
+        if (!is_hex_char(c)) {
+            return false;
+        }
+    }
+    return true;
+}
+
+static bool is_alphanum(const char c) {
+    return (c >= 'A' && c <= 'Z') ||
+           (c >= 'a' && c <= 'z') ||
+           (c >= '0' && c <= '9');
+}
+
+static bool is_special_char(char c) {
+    return c == '/' || c == '.' || c == '-';
+}
+
+// base chars [A-Za-z0-9_] are always valid
+// special chars [/.-] must be surrounded by base chars
+// exactly one '/' required
+static bool is_valid_repo_id(const std::string & repo_id) {
+    if (repo_id.empty() || repo_id.length() > 256) {
+        return false;
+    }
+    int slash = 0;
+    bool special = true;
+
+    for (const char c : repo_id) {
+        if (is_alphanum(c) || c == '_') {
+            special = false;
+        } else if (is_special_char(c)) {
+            if (special) {
+                return false;
+            }
+            slash += (c == '/');
+            special = true;
+        } else {
+            return false;
+        }
+    }
+    return !special && slash == 1;
+}
+
+static bool is_valid_hf_token(const std::string & token) {
+    if (token.length() < 37 || token.length() > 256 ||
+        !string_starts_with(token, "hf_")) {
+        return false;
+    }
+    for (size_t i = 3; i < token.length(); ++i) {
+        if (!is_alphanum(token[i])) {
+            return false;
+        }
+    }
+    return true;
+}
+
+static bool is_valid_commit(const std::string & hash) {
+    return is_hex_string(hash, 40);
+}
+
+static bool is_valid_oid(const std::string & oid) {
+    return is_hex_string(oid, 40) || is_hex_string(oid, 64);
+}
+
+static bool is_valid_subpath(const fs::path & path, const fs::path & subpath) {
+    if (subpath.is_absolute()) {
+        return false; // never do a / b with b absolute
+    }
+    auto b = fs::absolute(path).lexically_normal();
+    auto t = (b / subpath).lexically_normal();
+    auto [b_end, _] = std::mismatch(b.begin(), b.end(), t.begin(), t.end());
+
+    return b_end == b.end();
+}
+
+static void safe_write_file(const fs::path & path, const std::string & data) {
+    fs::path path_tmp = path.string() + ".tmp";
+
+    if (path.has_parent_path()) {
+        fs::create_directories(path.parent_path());
+    }
+
+    std::ofstream file(path_tmp);
+    file << data;
+    file.close();
+
+    std::error_code ec;
+
+    if (!file.fail()) {
+        fs::rename(path_tmp, path, ec);
+    }
+    if (file.fail() || ec) {
+        fs::remove(path_tmp, ec);
+        throw std::runtime_error("failed to write file: " + path.string());
+    }
+}
+
+static nl::json api_get(const std::string & url,
+                        const std::string & token) {
+    auto [cli, parts] = common_http_client(url);
+
+    httplib::Headers headers = {
+        {"User-Agent", "llama-cpp/" + std::string(llama_build_info())},
+        {"Accept", "application/json"}
+    };
+
+    if (is_valid_hf_token(token)) {
+        headers.emplace("Authorization", "Bearer " + token);
+    } else if (!token.empty()) {
+        LOG_WRN("%s: invalid token, authentication disabled\n", __func__);
+    }
+
+    if (auto res = cli.Get(parts.path, headers)) {
+        auto body = res->body;
+
+        if (res->status == 200) {
+            return nl::json::parse(res->body);
+        }
+        try {
+            body = nl::json::parse(res->body)["error"].get<std::string>();
+        } catch (...) { }
+
+        throw std::runtime_error("GET failed (" + std::to_string(res->status) + "): " + body);
+    } else {
+        throw std::runtime_error("HTTPLIB failed: " + httplib::to_string(res.error()));
+    }
+}
+
+static std::string get_repo_commit(const std::string & repo_id,
+                                   const std::string & token) {
+    try {
+        auto endpoint = common_get_model_endpoint();
+        auto json = api_get(endpoint + "api/models/" + repo_id + "/refs", token);
+
+        if (!json.is_object() ||
+            !json.contains("branches") || !json["branches"].is_array()) {
+            LOG_WRN("%s: missing 'branches' for '%s'\n", __func__, repo_id.c_str());
+            return {};
+        }
+
+        fs::path refs_path = get_repo_path(repo_id) / "refs";
+        std::string name;
+        std::string commit;
+
+        for (const auto & branch : json["branches"]) {
+            if (!branch.is_object() ||
+                !branch.contains("name") || !branch["name"].is_string() ||
+                !branch.contains("targetCommit") || !branch["targetCommit"].is_string()) {
+                continue;
+            }
+            std::string _name = branch["name"].get<std::string>();
+            std::string _commit = branch["targetCommit"].get<std::string>();
+
+            if (!is_valid_subpath(refs_path, _name)) {
+                LOG_WRN("%s: skip invalid branch: %s\n", __func__, _name.c_str());
+                continue;
+            }
+            if (!is_valid_commit(_commit)) {
+                LOG_WRN("%s: skip invalid commit: %s\n", __func__, _commit.c_str());
+                continue;
+            }
+
+            if (_name == "main") {
+                name = _name;
+                commit = _commit;
+                break;
+            }
+
+            if (name.empty() || commit.empty()) {
+                name = _name;
+                commit = _commit;
+            }
+        }
+
+        if (name.empty() || commit.empty()) {
+            LOG_WRN("%s: no valid branch for '%s'\n", __func__, repo_id.c_str());
+            return {};
+        }
+
+        safe_write_file(refs_path / name, commit);
+        return commit;
+
+    } catch (const nl::json::exception & e) {
+        LOG_ERR("%s: JSON error: %s\n", __func__, e.what());
+    } catch (const std::exception & e) {
+        LOG_ERR("%s: error: %s\n", __func__, e.what());
+    }
+    return {};
+}
+
+hf_files get_repo_files(const std::string & repo_id,
+                        const std::string & token) {
+    if (!is_valid_repo_id(repo_id)) {
+        LOG_WRN("%s: invalid repository: %s\n", __func__, repo_id.c_str());
+        return {};
+    }
+
+    std::string commit = get_repo_commit(repo_id, token);
+    if (commit.empty()) {
+        LOG_WRN("%s: failed to resolve commit for %s\n", __func__, repo_id.c_str());
+        return {};
+    }
+
+    fs::path blobs_path = get_repo_path(repo_id) / "blobs";
+    fs::path commit_path = get_repo_path(repo_id) / "snapshots" / commit;
+
+    hf_files files;
+
+    try {
+        auto endpoint = common_get_model_endpoint();
+        auto json = api_get(endpoint + "api/models/" + repo_id + "/tree/" + commit + "?recursive=true", token);
+
+        if (!json.is_array()) {
+            LOG_WRN("%s: response is not an array for '%s'\n", __func__, repo_id.c_str());
+            return {};
+        }
+
+        for (const auto & item : json) {
+            if (!item.is_object() ||
+                !item.contains("type") || !item["type"].is_string() || item["type"] != "file" ||
+                !item.contains("path") || !item["path"].is_string()) {
+                continue;
+            }
+
+            hf_file file;
+            file.repo_id = repo_id;
+            file.path = item["path"].get<std::string>();
+
+            if (!is_valid_subpath(commit_path, file.path)) {
+                LOG_WRN("%s: skip invalid path: %s\n", __func__, file.path.c_str());
+                continue;
+            }
+
+            if (item.contains("lfs") && item["lfs"].is_object()) {
+                if (item["lfs"].contains("oid") && item["lfs"]["oid"].is_string()) {
+                    file.oid = item["lfs"]["oid"].get<std::string>();
+                }
+                if (item["lfs"].contains("size") && item["lfs"]["size"].is_number()) {
+                    file.size = item["lfs"]["size"].get<size_t>();
+                }
+            } else if (item.contains("oid") && item["oid"].is_string()) {
+                file.oid = item["oid"].get<std::string>();
+            }
+            if (file.size == 0 && item.contains("size") && item["size"].is_number()) {
+                file.size = item["size"].get<size_t>();
+            }
+
+            if (!file.oid.empty() && !is_valid_oid(file.oid)) {
+                LOG_WRN("%s: skip invalid oid: %s\n", __func__, file.oid.c_str());
+                continue;
+            }
+
+            file.url = endpoint + repo_id + "/resolve/" + commit + "/" + file.path;
+
+            fs::path final_path = commit_path / file.path;
+            file.final_path = final_path.string();
+
+            if (!file.oid.empty() && !fs::exists(final_path)) {
+                fs::path local_path = blobs_path / file.oid;
+                file.local_path = local_path.string();
+            } else {
+                file.local_path = file.final_path;
+            }
+
+            files.push_back(file);
+        }
+    } catch (const nl::json::exception & e) {
+        LOG_ERR("%s: JSON error: %s\n", __func__, e.what());
+    } catch (const std::exception & e) {
+        LOG_ERR("%s: error: %s\n", __func__, e.what());
+    }
+    return files;
+}
+
+static std::string get_cached_ref(const fs::path & repo_path) {
+    fs::path refs_path = repo_path / "refs";
+    if (!fs::is_directory(refs_path)) {
+        return {};
+    }
+    std::string fallback;
+
+    for (const auto & entry : fs::directory_iterator(refs_path)) {
+        if (!entry.is_regular_file()) {
+            continue;
+        }
+        std::ifstream f(entry.path());
+        std::string commit;
+        if (!f || !std::getline(f, commit) || commit.empty()) {
+            continue;
+        }
+        if (!is_valid_commit(commit)) {
+            LOG_WRN("%s: skip invalid commit: %s\n", __func__, commit.c_str());
+            continue;
+        }
+        if (entry.path().filename() == "main") {
+            return commit;
+        }
+        if (fallback.empty()) {
+            fallback = commit;
+        }
+    }
+    return fallback;
+}
+
+hf_files get_cached_files(const std::string & repo_id) {
+    fs::path cache_dir = get_cache_directory();
+    if (!fs::exists(cache_dir)) {
+        return {};
+    }
+
+    if (!repo_id.empty() && !is_valid_repo_id(repo_id)) {
+        LOG_WRN("%s: invalid repository: %s\n", __func__, repo_id.c_str());
+        return {};
+    }
+
+    hf_files files;
+
+    for (const auto & repo : fs::directory_iterator(cache_dir)) {
+        if (!repo.is_directory()) {
+            continue;
+        }
+        fs::path snapshots_path = repo.path() / "snapshots";
+
+        if (!fs::exists(snapshots_path)) {
+            continue;
+        }
+        std::string _repo_id = folder_name_to_repo(repo.path().filename().string());
+
+        if (!is_valid_repo_id(_repo_id)) {
+            continue;
+        }
+        if (!repo_id.empty() && _repo_id != repo_id) {
+            continue;
+        }
+        std::string commit = get_cached_ref(repo.path());
+        fs::path commit_path = snapshots_path / commit;
+
+        if (commit.empty() || !fs::is_directory(commit_path)) {
+            continue;
+        }
+        for (const auto & entry : fs::recursive_directory_iterator(commit_path)) {
+            if (!entry.is_regular_file() && !entry.is_symlink()) {
+                continue;
+            }
+            fs::path path = entry.path().lexically_relative(commit_path);
+
+            if (!path.empty()) {
+                hf_file file;
+                file.repo_id = _repo_id;
+                file.path = path.generic_string();
+                file.local_path = entry.path().string();
+                file.final_path = file.local_path;
+                files.push_back(std::move(file));
+            }
+        }
+    }
+
+    return files;
+}
+
+std::string finalize_file(const hf_file & file) {
+    static std::atomic<bool> symlinks_disabled{false};
+
+    std::error_code ec;
+    fs::path local_path(file.local_path);
+    fs::path final_path(file.final_path);
+
+    if (local_path == final_path || fs::exists(final_path, ec)) {
+        return file.final_path;
+    }
+
+    if (!fs::exists(local_path, ec)) {
+        return file.final_path;
+    }
+
+    fs::create_directories(final_path.parent_path(), ec);
+
+    if (!symlinks_disabled) {
+        fs::path target = fs::relative(local_path, final_path.parent_path(), ec);
+        if (!ec) {
+            fs::create_symlink(target, final_path, ec);
+        }
+        if (!ec) {
+            return file.final_path;
+        }
+    }
+
+    if (!symlinks_disabled.exchange(true)) {
+        LOG_WRN("%s: failed to create symlink: %s\n", __func__, ec.message().c_str());
+        LOG_WRN("%s: switching to degraded mode\n", __func__);
+    }
+
+    fs::rename(local_path, final_path, ec);
+    if (ec) {
+        LOG_WRN("%s: failed to move file to snapshots: %s\n", __func__, ec.message().c_str());
+        fs::copy(local_path, final_path, ec);
+        if (ec) {
+            LOG_ERR("%s: failed to copy file to snapshots: %s\n", __func__, ec.message().c_str());
+        }
+    }
+    return file.final_path;
+}
+
+// delete everything after this line, one day
+
+// copied from download.cpp without the tag part
+struct gguf_split_info {
+    std::string prefix; // tag included
+    int index;
+    int count;
+};
+
+static gguf_split_info get_gguf_split_info(const std::string & path) {
+    static const std::regex re_split("^(.+)-([0-9]{5})-of-([0-9]{5})$", std::regex::icase);
+    std::smatch m;
+
+    std::string prefix = path;
+    if (!string_remove_suffix(prefix, ".gguf")) {
+        return {};
+    }
+
+    int index = 1;
+    int count = 1;
+
+    if (std::regex_match(prefix, m, re_split)) {
+        index = std::stoi(m[2].str());
+        count = std::stoi(m[3].str());
+        prefix = m[1].str();
+    }
+
+    return {std::move(prefix), index, count};
+}
+
+static std::pair<std::string, std::string> parse_manifest_name(std::string & filename) {
+    static const std::regex re(R"(^manifest=([^=]+)=([^=]+)=.*\.json$)");
+    std::smatch match;
+    if (std::regex_match(filename, match, re)) {
+        return {match[1].str(), match[2].str()};
+    }
+    return {};
+}
+
+static std::string make_old_cache_filename(const std::string & owner,
+                                           const std::string & repo,
+                                           const std::string & filename) {
+    auto result = owner + "_" + repo + "_" + filename;
+    string_replace_all(result, "/", "_");
+    return result;
+}
+
+struct migrate_file {
+    std::string path;
+    std::string sha256;
+    size_t size;
+    fs::path old_path;
+    fs::path etag_path;
+    const hf_file * file;
+};
+
+using migrate_files = std::vector<migrate_file>;
+
+static bool collect_file(const fs::path    & old_cache,
+                         const std::string & owner,
+                         const std::string & repo,
+                         const std::string & path,
+                         const std::string & sha256,
+                         const hf_files    & files,
+                         migrate_files     & to_migrate) {
+
+    const hf_file * file = nullptr;
+
+    for (const auto & f : files) {
+        if (f.path == path) {
+            file = &f;
+            break;
+        }
+    }
+
+    std::string old_filename = make_old_cache_filename(owner, repo, path);
+    fs::path old_path = old_cache / old_filename;
+    fs::path etag_path = old_path.string() + ".etag";
+
+    if (!fs::exists(old_path)) {
+        if (file && fs::exists(file->final_path)) {
+            return true;
+        }
+        LOG_WRN("%s: %s not found in old cache or HF cache\n", __func__, old_filename.c_str());
+        return false;
+    }
+
+    if (!file) {
+        LOG_WRN("%s: %s not found in current repo\n", __func__, old_filename.c_str());
+        return false;
+    }
+
+    if (!sha256.empty() && !file->oid.empty() && sha256 != file->oid) {
+        LOG_WRN("%s: %s is not up to date (sha256 mismatch)\n", __func__, old_filename.c_str());
+        return false;
+    }
+
+    if (file->size > 0) {
+        size_t size = fs::file_size(old_path);
+        if (size != file->size) {
+            LOG_WRN("%s: %s has wrong size %zu (expected %zu)\n", __func__, old_filename.c_str(), size, file->size);
+            return false;
+        }
+    }
+
+    to_migrate.push_back({path, sha256, file->size, old_path, etag_path, file});
+    return true;
+}
+
+static bool collect_files(const fs::path    & old_cache,
+                          const std::string & owner,
+                          const std::string & repo,
+                          const nl::json    & node,
+                          const hf_files    & files,
+                          migrate_files     & to_migrate) {
+
+    if (!node.contains("rfilename") ||
+        !node.contains("lfs")       ||
+        !node["lfs"].contains("sha256")) {
+        return true;
+    }
+
+    std::string path = node["rfilename"];
+    std::string sha256 = node["lfs"]["sha256"];
+
+    auto split = get_gguf_split_info(path);
+
+    if (split.count <= 1) {
+        return collect_file(old_cache, owner, repo, path, sha256, files, to_migrate);
+    }
+
+    std::vector<std::pair<std::string, std::string>> splits;
+
+    for (const auto & f : files) {
+        auto split_f = get_gguf_split_info(f.path);
+        if (split_f.count == split.count && split_f.prefix == split.prefix) {
+            // sadly the manifest only provides the sha256 of the first file (index == 1)
+            // the rest will be verified using the size...
+            std::string f_sha256 = (split_f.index == 1) ? sha256 : "";
+            splits.emplace_back(f.path, f_sha256);
+        }
+    }
+
+    if ((int)splits.size() != split.count) {
+        LOG_WRN("%s: expected %d split files but found %d in repo\n", __func__, split.count, (int)splits.size());
+        return false;
+    }
+
+    for (const auto & [f_path, f_sha256] : splits) {
+        if (!collect_file(old_cache, owner, repo, f_path, f_sha256, files, to_migrate)) {
+            return false;
+        }
+    }
+
+    return true;
+}
+
+static bool migrate_file(const migrate_file & file) {
+    std::error_code ec;
+
+    fs::path new_path(file.file->local_path);
+    fs::create_directories(new_path.parent_path(), ec);
+
+    if (!fs::exists(new_path, ec)) {
+        fs::rename(file.old_path, new_path, ec);
+        if (ec) {
+            fs::copy_file(file.old_path, new_path, ec);
+            if (ec) {
+                LOG_ERR("%s: failed to move/copy %s: %s\n", __func__, file.old_path.string().c_str(), ec.message().c_str());
+                return false;
+            }
+        }
+        fs::remove(file.old_path, ec);
+    }
+    fs::remove(file.etag_path, ec);
+
+    std::string filename = finalize_file(*file.file);
+    LOG_INF("%s: migrated %s -> %s\n", __func__, file.old_path.filename().string().c_str(), filename.c_str());
+    return true;
+}
+
+void migrate_old_cache_to_hf_cache(const std::string & token, bool offline) {
+    fs::path old_cache = fs_get_cache_directory();
+    if (!fs::exists(old_cache)) {
+        return;
+    }
+
+    if (offline) {
+        LOG_WRN("%s: skipping migration in offline mode (will run when online)\n", __func__);
+        return; // -hf is not going to work
+    }
+
+    bool warned = false;
+
+    for (const auto & entry : fs::directory_iterator(old_cache)) {
+        if (!entry.is_regular_file()) {
+            continue;
+        }
+        auto filename = entry.path().filename().string();
+        auto [owner, repo] = parse_manifest_name(filename);
+
+        if (owner.empty() || repo.empty()) {
+            continue;
+        }
+
+        if (!warned) {
+            warned = true;
+            LOG_WRN("================================================================================\n"
+                    "WARNING: Migrating cache to HuggingFace cache directory\n"
+                    "  Old cache: %s\n"
+                    "  New cache: %s\n"
+                    "This one-time migration moves models previously downloaded with -hf\n"
+                    "from the legacy llama.cpp cache to the standard HuggingFace cache.\n"
+                    "Models downloaded with --model-url are not affected.\n"
+                    "================================================================================\n",
+                    old_cache.string().c_str(), get_cache_directory().string().c_str());
+        }
+
+        auto repo_id = owner + "/" + repo;
+        auto files = get_repo_files(repo_id, token);
+
+        if (files.empty()) {
+            LOG_WRN("%s: could not get repo files for %s, skipping\n", __func__, repo_id.c_str());
+            continue;
+        }
+
+        migrate_files to_migrate;
+        bool ok = true;
+
+        try {
+            std::ifstream manifest(entry.path());
+            auto json = nl::json::parse(manifest);
+            for (const char * key : {"ggufFile", "mmprojFile"}) {
+                if (json.contains(key)) {
+                    if (!collect_files(old_cache, owner, repo, json[key], files, to_migrate)) {
+                        ok = false;
+                        break;
+                    }
+                }
+            }
+        } catch (const std::exception & e) {
+            LOG_WRN("%s: failed to parse manifest %s: %s\n", __func__, filename.c_str(), e.what());
+            continue;
+        }
+
+        if (!ok) {
+            LOG_WRN("%s: migration skipped: one or more files failed validation\n", __func__);
+            continue;
+        }
+
+        for (const auto & file : to_migrate) {
+            if (!migrate_file(file)) {
+                ok = false;
+                break;
+            }
+        }
+
+        if (!ok) {
+            LOG_WRN("%s: migration failed: could not migrate all files\n", __func__);
+            continue;
+        }
+
+        LOG_INF("%s: migration complete, deleting manifest: %s\n", __func__, entry.path().string().c_str());
+        fs::remove(entry.path());
+    }
+}
+
+} // namespace hf_cache
diff --git a/common/hf-cache.h b/common/hf-cache.h
new file mode 100644
index 0000000000000000000000000000000000000000..9e46f97743719171cfe0b72d3de1fa1a9eabf4b9
--- /dev/null
+++ b/common/hf-cache.h
@@ -0,0 +1,36 @@
+#pragma once
+
+#include <string>
+#include <vector>
+
+// Ref: https://huggingface.co/docs/hub/local-cache.md
+
+namespace hf_cache {
+
+struct hf_file {
+    std::string path;
+    std::string url;
+    std::string local_path;
+    std::string final_path;
+    std::string oid;
+    std::string repo_id;
+    size_t size = 0; // only for the migration
+};
+
+using hf_files = std::vector<hf_file>;
+
+// Get files from HF API
+hf_files get_repo_files(
+    const std::string & repo_id,
+    const std::string & token
+);
+
+hf_files get_cached_files(const std::string & repo_id = {});
+
+// Create snapshot path (link or move/copy) and return it
+std::string finalize_file(const hf_file & file);
+
+// TODO: Remove later
+void migrate_old_cache_to_hf_cache(const std::string & token, bool offline = false);
+
+} // namespace hf_cache
diff --git a/common/jinja/parser.cpp b/common/jinja/parser.cpp
index 7970336ac01e141126c85a1aa9b5c2dbe23964a4..2b25654a7a0abb8215192f7ea2e9d81a195f08c1 100644
--- a/common/jinja/parser.cpp
+++ b/common/jinja/parser.cpp
@@ -53,6 +53,13 @@ private:
         return tokens[current + offset];
     }
 
+    const token & next() {
+        if (current >= tokens.size()) {
+            throw parser_exception("Parser Error: Unexpected EOF", source, tokens.empty() ? 0 : tokens.back().pos);
+        }
+        return tokens[current++];
+    }
+
     token expect(token::type type, const std::string&  error) {
         const auto & t = peek();
         if (t.t != type) {
@@ -90,9 +97,9 @@ private:
         size_t start_pos = current;
         switch (peek().t) {
             case token::comment:
-                return mk_stmt<comment_statement>(start_pos, tokens[current++].value);
+                return mk_stmt<comment_statement>(start_pos, next().value);
             case token::text:
-                return mk_stmt<string_literal>(start_pos, tokens[current++].value);
+                return mk_stmt<string_literal>(start_pos, next().value);
             case token::open_statement:
                 return parse_jinja_statement();
             case token::open_expression:
@@ -119,8 +126,7 @@ private:
         }
 
         size_t start_pos = current;
-        std::string name = peek().value;
-        current++; // consume identifier
+        std::string name = next().value;
 
         statement_ptr result;
         if (name == "set") {
@@ -202,7 +208,7 @@ private:
             // Ignore generation blocks (transformers-specific)
             // See https://github.com/huggingface/transformers/pull/30650 for more information.
             result = mk_stmt<noop_statement>(start_pos);
-            current++;
+            ++current;
 
         } else {
             throw std::runtime_error("Unknown statement: " + name);
@@ -217,7 +223,7 @@ private:
         statements body;
 
         if (is(token::equals)) {
-            current++;
+            ++current;
             value = parse_expression_sequence();
         } else {
             // parsing multiline set here
@@ -280,7 +286,7 @@ private:
         exprs.push_back(primary ? parse_primary_expression() : parse_expression());
         bool is_tuple = is(token::comma);
         while (is(token::comma)) {
-            current++; // consume comma
+            ++current; // consume comma
             exprs.push_back(primary ? parse_primary_expression() : parse_expression());
         }
         return is_tuple ? mk_stmt<tuple_literal>(start_pos, std::move(exprs)) : std::move(exprs[0]);
@@ -290,7 +296,7 @@ private:
         // e.g., `message` in `for message in messages`
         auto loop_var = parse_expression_sequence(true); // should be an identifier/tuple
         if (!is_identifier("in")) throw std::runtime_error("Expected 'in'");
-        current++;
+        ++current; // consume 'in'
 
         // `messages` in `for message in messages`
         auto iterable = parse_expression();
@@ -305,7 +311,8 @@ private:
         }
 
         if (is_statement({"else"})) {
-            current += 2;
+            ++current; // consume {%
+            ++current; // consume 'else'
             expect(token::close_statement, "Expected %}");
             while (!is_statement({"endfor"})) {
                 alternate.push_back(parse_any());
@@ -347,7 +354,7 @@ private:
         auto left = parse_logical_and_expression();
         while (is_identifier("or")) {
             size_t start_pos = current;
-            token op = tokens[current++];
+            token op = next();
             left = mk_stmt<binary_expression>(start_pos, op, std::move(left), parse_logical_and_expression());
         }
         return left;
@@ -357,7 +364,7 @@ private:
         auto left = parse_logical_negation_expression();
         while (is_identifier("and")) {
             size_t start_pos = current;
-            auto op = tokens[current++];
+            auto op = next();
             left = mk_stmt<binary_expression>(start_pos, op, std::move(left), parse_logical_negation_expression());
         }
         return left;
@@ -367,7 +374,7 @@ private:
         // Try parse unary operators
         if (is_identifier("not")) {
             size_t start_pos = current;
-            auto op = tokens[current++];
+            auto op = next();
             return mk_stmt<unary_expression>(start_pos, op, parse_logical_negation_expression());
         }
         return parse_comparison_expression();
@@ -382,11 +389,12 @@ private:
             size_t start_pos = current;
             if (is_identifier("not") && peek(1).t == token::identifier && peek(1).value == "in") {
                 op = {token::identifier, "not in", tokens[current].pos};
-                current += 2;
+                ++current; // consume 'not'
+                ++current; // consume 'in'
             } else if (is_identifier("in")) {
-                op = tokens[current++];
+                op = next();
             } else if (is(token::comparison_binary_operator)) {
-                op = tokens[current++];
+                op = next();
             } else break;
             left = mk_stmt<binary_expression>(start_pos, op, std::move(left), parse_additive_expression());
         }
@@ -397,7 +405,7 @@ private:
         auto left = parse_multiplicative_expression();
         while (is(token::additive_binary_operator)) {
             size_t start_pos = current;
-            auto op = tokens[current++];
+            auto op = next();
             left = mk_stmt<binary_expression>(start_pos, op, std::move(left), parse_multiplicative_expression());
         }
         return left;
@@ -407,7 +415,7 @@ private:
         auto left = parse_test_expression();
         while (is(token::multiplicative_binary_operator)) {
             size_t start_pos = current;
-            auto op = tokens[current++];
+            auto op = next();
             left = mk_stmt<binary_expression>(start_pos, op, std::move(left), parse_test_expression());
         }
         return left;
@@ -417,9 +425,9 @@ private:
         auto operand = parse_filter_expression();
         while (is_identifier("is")) {
             size_t start_pos = current;
-            current++;
+            ++current; // consume 'is'
             bool negate = false;
-            if (is_identifier("not")) { current++; negate = true; }
+            if (is_identifier("not")) { ++current; negate = true; }
             auto test_id = parse_primary_expression();
             // FIXME: tests can also be expressed like this: if x is eq 3
             if (is(token::open_paren)) test_id = parse_call_expression(std::move(test_id));
@@ -432,7 +440,7 @@ private:
         auto operand = parse_call_member_expression();
         while (is(token::pipe)) {
             size_t start_pos = current;
-            current++;
+            ++current; // consume pipe
             auto filter = parse_primary_expression();
             if (is(token::open_paren)) filter = parse_call_expression(std::move(filter));
             operand = mk_stmt<filter_expression>(start_pos, std::move(operand), std::move(filter));
@@ -490,7 +498,7 @@ private:
     statement_ptr parse_member_expression(statement_ptr object) {
         size_t start_pos = current;
         while (is(token::dot) || is(token::open_square_bracket)) {
-            auto op = tokens[current++];
+            auto op = next();
             bool computed = op.t == token::open_square_bracket;
             statement_ptr prop;
             if (computed) {
@@ -531,12 +539,15 @@ private:
             statement_ptr step = slices.size() > 2 ? std::move(slices[2]) : nullptr;
             return mk_stmt<slice_expression>(start_pos, std::move(start), std::move(stop), std::move(step));
         }
+        if (slices.empty()) {
+            return mk_stmt<blank_expression>(start_pos);
+        }
         return std::move(slices[0]);
     }
 
     statement_ptr parse_primary_expression() {
         size_t start_pos = current;
-        auto t = tokens[current++];
+        auto t = next();
         switch (t.t) {
             case token::numeric_literal:
                 if (t.value.find('.') != std::string::npos) {
@@ -547,7 +558,7 @@ private:
             case token::string_literal: {
                 std::string val = t.value;
                 while (is(token::string_literal)) {
-                    val += tokens[current++].value;
+                    val += next().value;
                 }
                 return mk_stmt<string_literal>(start_pos, val);
             }
@@ -562,9 +573,9 @@ private:
                 statements vals;
                 while (!is(token::close_square_bracket)) {
                     vals.push_back(parse_expression());
-                    if (is(token::comma)) current++;
+                    if (is(token::comma)) ++current;
                 }
-                current++;
+                ++current;
                 return mk_stmt<array_literal>(start_pos, std::move(vals));
             }
             case token::open_curly_bracket: {
@@ -573,9 +584,9 @@ private:
                     auto key = parse_expression();
                     expect(token::colon, "Expected :");
                     pairs.push_back({std::move(key), parse_expression()});
-                    if (is(token::comma)) current++;
+                    if (is(token::comma)) ++current;
                 }
-                current++;
+                ++current;
                 return mk_stmt<object_literal>(start_pos, std::move(pairs));
             }
             default:
diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp
index af2282c54692cb2a9ca0e9e9fc47fe6a8140a1ba..f81d98d954a1dc0608aa18421a29a83ec3f7378b 100644
--- a/common/jinja/runtime.cpp
+++ b/common/jinja/runtime.cpp
@@ -251,6 +251,23 @@ value binary_expression::execute_impl(context & ctx) {
         return res;
     }
 
+    // Python-style string repetition
+    // TODO: support array/tuple repetition (e.g., [1, 2] * 3 → [1, 2, 1, 2, 1, 2])
+    if (op.value == "*" &&
+            ((is_val<value_string>(left_val) && is_val<value_int>(right_val)) ||
+             (is_val<value_int>(left_val) && is_val<value_string>(right_val)))) {
+        const auto & str = is_val<value_string>(left_val) ? left_val->as_string() : right_val->as_string();
+        const int64_t repeat = is_val<value_int>(right_val) ? right_val->as_int() : left_val->as_int();
+        auto res = mk_val<value_string>();
+        if (repeat <= 0) {
+            return res;
+        }
+        for (int64_t i = 0; i < repeat; ++i) {
+            res->val_str = res->val_str.append(str);
+        }
+        return res;
+    }
+
     // String membership
     if (is_val<value_string>(left_val) && is_val<value_string>(right_val)) {
         // case: "a" in "abc"
@@ -306,6 +323,19 @@ value filter_expression::execute_impl(context & ctx) {
             filter_id = "strip"; // alias
         }
         JJ_DEBUG("Applying filter '%s' to %s", filter_id.c_str(), input->type().c_str());
+        // TODO: Refactor filters so this coercion can be done automatically
+        if (!input->is_undefined() && !is_val<value_string>(input) && (
+            filter_id == "capitalize" ||
+            filter_id == "lower" ||
+            filter_id == "replace" ||
+            filter_id == "strip" ||
+            filter_id == "title" ||
+            filter_id == "upper" ||
+            filter_id == "wordcount"
+        )) {
+            JJ_DEBUG("Coercing %s to String for '%s' filter", input->type().c_str(), filter_id.c_str());
+            input = mk_val<value_string>(input->as_string());
+        }
         return try_builtin_func(ctx, filter_id, input)->invoke(func_args(ctx));
 
     } else if (is_stmt<call_expression>(filter)) {
@@ -667,8 +697,9 @@ value macro_statement::execute_impl(context & ctx) {
                 if (is_stmt<identifier>(this->args[i])) {
                     // normal parameter
                     std::string param_name = cast_stmt<identifier>(this->args[i])->val;
-                    JJ_DEBUG("  Binding parameter '%s' to argument of type %s", param_name.c_str(), args.get_pos(i)->type().c_str());
-                    macro_ctx.set_val(param_name, args.get_pos(i));
+                    value param_value = args.get_kwarg_or_pos(param_name, i);
+                    JJ_DEBUG("  Binding parameter '%s' to argument of type %s", param_name.c_str(), param_value->type().c_str());
+                    macro_ctx.set_val(param_name, param_value);
                 } else if (is_stmt<keyword_argument_expression>(this->args[i])) {
                     // default argument used as normal parameter
                     auto kwarg = cast_stmt<keyword_argument_expression>(this->args[i]);
@@ -676,8 +707,9 @@ value macro_statement::execute_impl(context & ctx) {
                         throw std::runtime_error("Keyword argument key must be an identifier in macro '" + name + "'");
                     }
                     std::string param_name = cast_stmt<identifier>(kwarg->key)->val;
-                    JJ_DEBUG("  Binding parameter '%s' to argument of type %s", param_name.c_str(), args.get_pos(i)->type().c_str());
-                    macro_ctx.set_val(param_name, args.get_pos(i));
+                    value param_value = args.get_kwarg_or_pos(param_name, i);
+                    JJ_DEBUG("  Binding parameter '%s' to argument of type %s", param_name.c_str(), param_value->type().c_str());
+                    macro_ctx.set_val(param_name, param_value);
                 } else {
                     throw std::runtime_error("Invalid parameter type in macro '" + name + "'");
                 }
@@ -769,10 +801,15 @@ value member_expression::execute_impl(context & ctx) {
     }
 
     JJ_DEBUG("Member expression on object type %s, property type %s", object->type().c_str(), property->type().c_str());
-    ensure_key_type_allowed(property);
-
     value val = mk_val<value_undefined>("object_property");
 
+    if (property->is_undefined()) {
+        JJ_DEBUG("%s", "Member expression property is undefined, returning undefined");
+        return val;
+    }
+
+    ensure_key_type_allowed(property);
+
     if (is_val<value_undefined>(object)) {
         JJ_DEBUG("%s", "Accessing property on undefined object, returning undefined");
         return val;
diff --git a/common/jinja/runtime.h b/common/jinja/runtime.h
index 17a6dff5aa210167b0f6dd763cd961c7e14d7474..3ca5f1754fadd91fafe890c01d700fcc583b44a9 100644
--- a/common/jinja/runtime.h
+++ b/common/jinja/runtime.h
@@ -263,6 +263,14 @@ struct comment_statement : public statement {
 
 // Expressions
 
+// Represents an omitted expression in a computed member, e.g. `a[]`.
+struct blank_expression : public expression {
+    std::string type() const override { return "BlankExpression"; }
+    value execute_impl(context &) override {
+        return mk_val<value_undefined>();
+    }
+};
+
 struct member_expression : public expression {
     statement_ptr object;
     statement_ptr property;
diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp
index 749113124b5819cd354f764274f7bd7f0ab699a2..8e86a715f5f8ca0553aab2ecc35f0f44f117561b 100644
--- a/common/jinja/value.cpp
+++ b/common/jinja/value.cpp
@@ -1,4 +1,5 @@
 #include "runtime.h"
+#include "unicode.h"
 #include "value.h"
 
 // for converting from JSON to jinja values
@@ -154,6 +155,83 @@ static value test_compare_fn(const func_args & args) {
     return mk_val<value_bool>(value_compare(args.get_pos(0), args.get_pos(1), op));
 }
 
+static void append_codepoint_as_ascii_json_escape(std::string & out, uint32_t codepoint) {
+    auto append_u16 = [&out](uint32_t value) {
+        char buf[8];
+        snprintf(buf, sizeof(buf), "\\u%04x", static_cast<unsigned int>(value));
+        out += buf;
+    };
+
+    if (codepoint <= 0xFFFF) {
+        append_u16(codepoint);
+        return;
+    }
+
+    codepoint -= 0x10000;
+    append_u16(0xD800 + ((codepoint >> 10) & 0x3FF));
+    append_u16(0xDC00 + (codepoint & 0x3FF));
+}
+
+static std::string json_ensure_ascii_preserving_format(const std::string & json_str) {
+    std::string output;
+    output.reserve(json_str.size());
+
+    bool in_string = false;
+    bool escaped = false;
+
+    for (size_t pos = 0; pos < json_str.size();) {
+        const char ch = json_str[pos];
+        if (!in_string) {
+            output.push_back(ch);
+            if (ch == '"') {
+                in_string = true;
+            }
+            ++pos;
+            continue;
+        }
+
+        if (escaped) {
+            output.push_back(ch);
+            escaped = false;
+            ++pos;
+            continue;
+        }
+
+        if (ch == '\\') {
+            output.push_back(ch);
+            escaped = true;
+            ++pos;
+            continue;
+        }
+
+        if (ch == '"') {
+            output.push_back(ch);
+            in_string = false;
+            ++pos;
+            continue;
+        }
+
+        const unsigned char uch = static_cast<unsigned char>(ch);
+        if (uch < 0x80) {
+            output.push_back(ch);
+            ++pos;
+            continue;
+        }
+
+        auto parsed = common_parse_utf8_codepoint(json_str, pos);
+        if (parsed.status != utf8_parse_result::SUCCESS) {
+            output += "\\ufffd";
+            ++pos;
+            continue;
+        }
+
+        append_codepoint_as_ascii_json_escape(output, parsed.codepoint);
+        pos += parsed.bytes_consumed;
+    }
+
+    return output;
+}
+
 static value tojson(const func_args & args) {
     args.ensure_count(1, 5);
     value val_ascii      = args.get_kwarg_or_pos("ensure_ascii", 1);
@@ -169,16 +247,17 @@ static value tojson(const func_args & args) {
     if (is_val<value_int>(val_indent)) {
         indent = static_cast<int>(val_indent->as_int());
     }
-    if (val_ascii->as_bool()) { // undefined == false
-        throw not_implemented_exception("tojson ensure_ascii=true not implemented");
-    }
     if (val_sort->as_bool()) { // undefined == false
         throw not_implemented_exception("tojson sort_keys=true not implemented");
     }
+    const bool ensure_ascii = val_ascii->as_bool(); // undefined == false
     auto separators = (is_val<value_array>(val_separators) ? val_separators : mk_val<value_array>())->as_array();
     std::string item_sep = separators.size() > 0 ? separators[0]->as_string().str() : (indent < 0 ? ", " : ",");
     std::string key_sep = separators.size() > 1 ? separators[1]->as_string().str() : ": ";
     std::string json_str = value_to_json(args.get_pos(0), indent, item_sep, key_sep);
+    if (ensure_ascii) {
+        json_str = json_ensure_ascii_preserving_format(json_str);
+    }
     return mk_val<value_string>(json_str);
 }
 
@@ -460,13 +539,18 @@ const func_builtins & value_int_t::get_builtins() const {
             int64_t val = args.get_pos(0)->as_int();
             return mk_val<value_int>(val < 0 ? -val : val);
         }},
+        {"int", [](const func_args & args) -> value {
+            args.ensure_vals<value_int>();
+            return mk_val<value_int>(args.get_pos(0)->as_int());
+        }},
         {"float", [](const func_args & args) -> value {
             args.ensure_vals<value_int>();
             double val = static_cast<double>(args.get_pos(0)->as_int());
             return mk_val<value_float>(val);
         }},
-        {"tojson", tojson},
+        {"safe", tojson},
         {"string", tojson},
+        {"tojson", tojson},
     };
     return builtins;
 }
@@ -485,8 +569,13 @@ const func_builtins & value_float_t::get_builtins() const {
             int64_t val = static_cast<int64_t>(args.get_pos(0)->as_float());
             return mk_val<value_int>(val);
         }},
-        {"tojson", tojson},
+        {"float", [](const func_args & args) -> value {
+            args.ensure_vals<value_float>();
+            return mk_val<value_float>(args.get_pos(0)->as_float());
+        }},
+        {"safe", tojson},
         {"string", tojson},
+        {"tojson", tojson},
     };
     return builtins;
 }
@@ -771,6 +860,11 @@ const func_builtins & value_string_t::get_builtins() const {
 
 
 const func_builtins & value_bool_t::get_builtins() const {
+    static const func_handler tostring = [](const func_args & args) -> value {
+        args.ensure_vals<value_bool>();
+        bool val = args.get_pos(0)->as_bool();
+        return mk_val<value_string>(val ? "True" : "False");
+    };
     static const func_builtins builtins = {
         {"default", default_value},
         {"int", [](const func_args & args) -> value {
@@ -783,11 +877,8 @@ const func_builtins & value_bool_t::get_builtins() const {
             bool val = args.get_pos(0)->as_bool();
             return mk_val<value_float>(val ? 1.0 : 0.0);
         }},
-        {"string", [](const func_args & args) -> value {
-            args.ensure_vals<value_bool>();
-            bool val = args.get_pos(0)->as_bool();
-            return mk_val<value_string>(val ? "True" : "False");
-        }},
+        {"safe", tostring},
+        {"string", tostring},
         {"tojson", tojson},
     };
     return builtins;
@@ -1100,18 +1191,14 @@ const func_builtins & value_object_t::get_builtins() const {
 }
 
 const func_builtins & value_none_t::get_builtins() const {
+    static const func_handler tostring = [](const func_args &) -> value {
+        return mk_val<value_string>("None");
+    };
     static const func_builtins builtins = {
         {"default", default_value},
         {"tojson", tojson},
-        {"string", [](const func_args &) -> value {
-            return mk_val<value_string>("None");
-        }},
-        {"safe", [](const func_args &) -> value {
-            return mk_val<value_string>("None");
-        }},
-        {"strip", [](const func_args &) -> value {
-            return mk_val<value_string>("None");
-        }},
+        {"string", tostring},
+        {"safe", tostring},
         {"items", empty_value_fn<value_array>},
         {"map", empty_value_fn<value_array>},
         {"reject", empty_value_fn<value_array>},
diff --git a/common/jinja/value.h b/common/jinja/value.h
index 6cbedefd96ec8176f8d229de2247708b8d1e4c85..7d164588ad93bceff8348e13216b3e44e1ea488c 100644
--- a/common/jinja/value.h
+++ b/common/jinja/value.h
@@ -451,7 +451,7 @@ struct value_array_t : public value_t {
     }
 protected:
     virtual bool equivalent(const value_t & other) const override {
-        return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_arr.begin(), val_arr.end(), other.val_arr.begin(), value_equivalence());
+        return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_arr.begin(), val_arr.end(), other.val_arr.begin(), other.val_arr.end(), value_equivalence());
     }
 };
 using value_array = std::shared_ptr<value_array_t>;
@@ -587,7 +587,7 @@ struct value_object_t : public value_t {
     }
 protected:
     virtual bool equivalent(const value_t & other) const override {
-        return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_obj.begin(), val_obj.end(), other.val_obj.begin(), value_equivalence());
+        return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_obj.begin(), val_obj.end(), other.val_obj.begin(), other.val_obj.end(), value_equivalence());
     }
 };
 using value_object = std::shared_ptr<value_object_t>;
diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index c7057d651d16a5a34f2d7784c4483a4973746e1e..e2c4d6ce22e536e3c69115fae40ad14fe5516c22 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -416,15 +416,30 @@ private:
                     i++;
                 } else if (c == '(') {
                     i++;
-                    if (i < length) {
-                        if (sub_pattern[i] == '?') {
+                    if (i < length && sub_pattern[i] == '?') {
+                        if (i + 1 < length && sub_pattern[i + 1] == ':') {
+                            i += 2; // skip "?:" for non-capturing group, treat as regular group
+                        } else {
+                            // lookahead/lookbehind (?=, ?!, ?<=, ?<!) - not supported
                             _warnings.push_back("Unsupported pattern syntax");
+                            // skip to matching ')' to avoid UB on empty seq
+                            int depth = 1;
+                            while (i < length && depth > 0) {
+                                if (sub_pattern[i] == '\\' && i + 1 < length) {
+                                    i += 2; // skip escaped character
+                                } else {
+                                    if (sub_pattern[i] == '(') depth++;
+                                    else if (sub_pattern[i] == ')') depth--;
+                                    i++;
+                                }
+                            }
+                            continue;
                         }
                     }
                     seq.emplace_back("(" + to_rule(transform()) + ")", false);
                 } else if (c == ')') {
                     i++;
-                    if (start > 0 && sub_pattern[start - 1] != '(') {
+                    if (start > 0 && sub_pattern[start - 1] != '(' && (start < 2 || sub_pattern[start - 2] != '?' || sub_pattern[start - 1] != ':')) {
                         _errors.push_back("Unbalanced parentheses");
                     }
                     return join_seq();
diff --git a/common/log.cpp b/common/log.cpp
index b17d2b62c356b4ee7b19ec33d29bc38ce041c519..dec4ef5fc70c35dcc06b59a4f3dca3707e93aec2 100644
--- a/common/log.cpp
+++ b/common/log.cpp
@@ -23,6 +23,10 @@
 
 int common_log_verbosity_thold = LOG_DEFAULT_LLAMA;
 
+int common_log_get_verbosity_thold(void) {
+    return common_log_verbosity_thold;
+}
+
 void common_log_set_verbosity_thold(int verbosity) {
     common_log_verbosity_thold = verbosity;
 }
diff --git a/common/log.h b/common/log.h
index f0f8471b5f44e91669affab234759fb81ce4e37f..cf32ca185ca7db607c4490045ed72796765206d1 100644
--- a/common/log.h
+++ b/common/log.h
@@ -38,7 +38,7 @@ enum log_colors {
 
 // needed by the LOG_TMPL macro to avoid computing log arguments if the verbosity lower
 // set via common_log_set_verbosity()
-extern int common_log_verbosity_thold;
+int  common_log_get_verbosity_thold(void);
 
 void common_log_set_verbosity_thold(int verbosity); // not thread-safe
 
@@ -98,7 +98,7 @@ void common_log_flush         (struct common_log * log);                    // f
 
 #define LOG_TMPL(level, verbosity, ...) \
     do { \
-        if ((verbosity) <= common_log_verbosity_thold) { \
+        if ((verbosity) <= common_log_get_verbosity_thold()) { \
             common_log_add(common_log_main(), (level), __VA_ARGS__); \
         } \
     } while (0)
diff --git a/common/ngram-map.cpp b/common/ngram-map.cpp
index ebf771a24a755abbbfd974603c02c1185ba21e33..8e3978f7ed029fadd73e0e2433a9c6de91027fc5 100644
--- a/common/ngram-map.cpp
+++ b/common/ngram-map.cpp
@@ -208,7 +208,7 @@ void common_ngram_map_begin(
                 count_keys, count_keys_del, count_values_del, count_map_entries_upd);
     }
 
-    map.idx_last_check = (map.size_last_begin > 0) ? map.size_last_begin - 1 : 0;
+    map.idx_last_check = size_begin;
     map.size_last_begin = size_begin;
 }
 
@@ -231,7 +231,7 @@ void common_ngram_map_draft(common_ngram_map & map,
         GGML_ABORT("%s: cur_len exceeds UINT32_MAX: %zu", __func__, cur_len);
     }
 
-    if (map.idx_last_check  > cur_len) {
+    if (map.idx_last_check > cur_len) {
         // Should not happen because of common_ngram_map_begin().
         GGML_ABORT("%s: map.idx_last_check > cur_len: %zu > %zu", __func__, map.idx_last_check, cur_len);
     }
@@ -386,7 +386,7 @@ void common_ngram_map_draft(common_ngram_map & map,
         LOG_DBG("%s: key_idx = %zu, key_offset = %zu, key_num = %d, draft.size = %zu\n", __func__,
                 curr_key.key_idx, key_offset, curr_key.key_num, draft.size());
 
-        map.last_draft_created   = false;
+        map.last_draft_created   = true;
         map.last_draft_key_idx   = key_offset;
         map.last_draft_value_idx = 0; // value 0 is used for simple mode
         return;
@@ -524,7 +524,7 @@ void common_ngram_map_accept(common_ngram_map & map, uint16_t n_accepted) {
     struct common_ngram_map_value & curr_value = curr_key.values[val_idx]; // value used for draft generation.
 
     // update the value statistics
-    LOG_INF("common_ngram_map_send_accepted: n_accepted = %d, prev value_num = %d\n",
+    LOG_DBG("common_ngram_map_send_accepted: n_accepted = %d, prev value_num = %d\n",
             n_accepted, curr_value.n_accepted);
     curr_value.n_accepted = n_accepted;
 }
diff --git a/common/ngram-map.h b/common/ngram-map.h
index d84e71915154c868ac9baaee93cc063d09b1a2cc..97608ef170f25783ba78347ebb63b50c4d2e638f 100644
--- a/common/ngram-map.h
+++ b/common/ngram-map.h
@@ -51,7 +51,7 @@ struct common_ngram_map_value {
 // statistics of a n-gram
 struct common_ngram_map_key {
     size_t   key_idx;   // index of key n-gram in token-history
-    size_t   stat_idx;  // index of last token of stastistics computation (key_num, values)
+    size_t   stat_idx;  // index of last token of statistics computation (key_num, values)
 
     uint16_t key_num;   // number of occurrences of this key n-gram in token-history
     common_ngram_map_value values[COMMON_NGRAM_MAX_VALUES]; // some known values after the key
diff --git a/common/peg-parser.cpp b/common/peg-parser.cpp
index a6d9a4c27cb2308d98bef87d96df47d5ab2c65bf..e37c1ce80e1da4c79d6108ff211a0a5d7900fb13 100644
--- a/common/peg-parser.cpp
+++ b/common/peg-parser.cpp
@@ -256,6 +256,38 @@ static std::pair<std::vector<common_peg_chars_parser::char_range>, bool> parse_c
     return {ranges, negated};
 }
 
+common_peg_ast_id common_peg_ast_arena::find_by_tag(const common_peg_ast_node & parent, const std::string & tag, int max_depth) const {
+    for (auto child_id : parent.children) {
+        const auto & child = get(child_id);
+        if (child.tag == tag) {
+            return child_id;
+        }
+        if (max_depth > 1) {
+            auto result = find_by_tag(child, tag, max_depth - 1);
+            if (result != COMMON_PEG_INVALID_AST_ID) {
+                return result;
+            }
+        }
+    }
+    return COMMON_PEG_INVALID_AST_ID;
+}
+
+common_peg_ast_id common_peg_ast_arena::find_by_rule(const common_peg_ast_node & parent, const std::string & rule, int max_depth) const {
+    for (auto child_id : parent.children) {
+        const auto & child = get(child_id);
+        if (child.rule == rule) {
+            return child_id;
+        }
+        if (max_depth > 1) {
+            auto result = find_by_rule(child, rule, max_depth - 1);
+            if (result != COMMON_PEG_INVALID_AST_ID) {
+                return result;
+            }
+        }
+    }
+    return COMMON_PEG_INVALID_AST_ID;
+}
+
 void common_peg_ast_arena::visit(common_peg_ast_id id, const common_peg_ast_visitor & visitor) const {
     if (id == COMMON_PEG_INVALID_AST_ID) {
         return;
@@ -858,6 +890,10 @@ struct parser_executor {
         }
         return result;
     }
+
+    common_peg_parse_result operator()(const common_peg_gbnf_parser & p) {
+        return arena.parse(p.child, ctx, start_pos);
+    }
 };
 
 common_peg_parse_result common_peg_arena::parse(common_peg_parse_context & ctx, size_t start) const {
@@ -925,7 +961,8 @@ void common_peg_arena::resolve_refs() {
                                  std::is_same_v<T, common_peg_and_parser> ||
                                  std::is_same_v<T, common_peg_not_parser> ||
                                  std::is_same_v<T, common_peg_tag_parser> ||
-                                 std::is_same_v<T, common_peg_atomic_parser>) {
+                                 std::is_same_v<T, common_peg_atomic_parser> ||
+                                 std::is_same_v<T, common_peg_gbnf_parser>) {
                 p.child = resolve_ref(p.child);
             } else if constexpr (std::is_same_v<T, common_peg_rule_parser>) {
                 p.child = resolve_ref(p.child);
@@ -1004,6 +1041,8 @@ std::string common_peg_arena::dump_impl(common_peg_parser_id
             return "Not(" + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_atomic_parser>) {
             return "Atomic(" + dump_impl(p.child, visited) + ")";
+        } else if constexpr (std::is_same_v<T, common_peg_gbnf_parser>) {
+            return "Gbnf(" + p.grammar + ", " + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_any_parser>) {
             return "Any";
         } else if constexpr (std::is_same_v<T, common_peg_space_parser>) {
@@ -1533,6 +1572,7 @@ static std::unordered_set<std::string> collect_reachable_rules(
                                  std::is_same_v<T, common_peg_not_parser> ||
                                  std::is_same_v<T, common_peg_tag_parser> ||
                                  std::is_same_v<T, common_peg_atomic_parser> ||
+                                 std::is_same_v<T, common_peg_gbnf_parser> ||
                                  std::is_same_v<T, common_peg_schema_parser>) {
                 visit(p.child);
             } else if constexpr (std::is_same_v<T, common_peg_rule_parser>) {
@@ -1557,6 +1597,52 @@ static std::unordered_set<std::string> collect_reachable_rules(
 
 // GBNF generation implementation
 void common_peg_arena::build_grammar(const common_grammar_builder & builder, bool lazy) const {
+    auto schema_delegates = [](const common_peg_schema_parser & s) -> bool {
+        if (!s.schema) {
+            return true;
+        }
+        if (s.raw && s.schema->contains("type")) {
+            const auto & type_val = s.schema->at("type");
+            if (type_val.is_string() && type_val == "string") {
+                return true;
+            }
+            // Handle nullable types like ["string", "null"] - delegate when the
+            // non-null type is string, since the tagged format uses raw text
+            if (type_val.is_array()) {
+                for (const auto & t : type_val) {
+                    if (t.is_string() && t.get<std::string>() != "null") {
+                        return t.get<std::string>() == "string";
+                    }
+                }
+            }
+        }
+        // Delegate for enum schemas in raw mode - enum values are literal strings
+        if (s.raw && !s.schema->contains("type") && s.schema->contains("enum")) {
+            return true;
+        }
+        return false;
+    };
+
+    // Unwrap the parser so we can properly check if it's a sequence or choice
+    auto effective_parser = [&](common_peg_parser_id id) -> const common_peg_parser_variant & {
+        while (true) {
+            const auto & p = parsers_.at(id);
+            if (const auto * tag = std::get_if<common_peg_tag_parser>(&p)) {
+                id = tag->child;
+            } else if (const auto * atomic = std::get_if<common_peg_atomic_parser>(&p)) {
+                id = atomic->child;
+            } else if (const auto * schema = std::get_if<common_peg_schema_parser>(&p)) {
+                if (schema_delegates(*schema)) {
+                    id = schema->child;
+                } else {
+                    return p;
+                }
+            } else {
+                return p;
+            }
+        }
+    };
+
     // Generate GBNF for a parser
     std::function<std::string(common_peg_parser_id)> to_gbnf = [&](common_peg_parser_id id) -> std::string {
         const auto & parser = parsers_.at(id);
@@ -1573,11 +1659,14 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
             } else if constexpr (std::is_same_v<T, common_peg_sequence_parser>) {
                 std::string s;
                 for (const auto & child : p.children) {
+                    auto child_gbnf = to_gbnf(child);
+                    if (child_gbnf.empty()) {
+                        continue;
+                    }
                     if (!s.empty()) {
                         s += " ";
                     }
-                    auto child_gbnf = to_gbnf(child);
-                    const auto & child_parser = parsers_.at(child);
+                    const auto & child_parser = effective_parser(child);
                     if (std::holds_alternative<common_peg_choice_parser>(child_parser) ||
                         std::holds_alternative<common_peg_sequence_parser>(child_parser)) {
                         s += "(" + child_gbnf + ")";
@@ -1593,7 +1682,7 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
                         s += " | ";
                     }
                     auto child_gbnf = to_gbnf(child);
-                    const auto & child_parser = parsers_.at(child);
+                    const auto & child_parser = effective_parser(child);
                     if (std::holds_alternative<common_peg_choice_parser>(child_parser)) {
                         s += "(" + child_gbnf + ")";
                     } else {
@@ -1603,7 +1692,7 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
                 return s;
             } else if constexpr (std::is_same_v<T, common_peg_repetition_parser>) {
                 auto child_gbnf = to_gbnf(p.child);
-                const auto & child_parser = parsers_.at(p.child);
+                const auto & child_parser = effective_parser(p.child);
                 if (std::holds_alternative<common_peg_choice_parser>(child_parser) ||
                     std::holds_alternative<common_peg_sequence_parser>(child_parser)) {
                     child_gbnf = "(" + child_gbnf + ")";
@@ -1663,15 +1752,10 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
                 }
                 return gbnf_excluding_pattern(p.delimiters);
             } else if constexpr (std::is_same_v<T, common_peg_schema_parser>) {
-                if (p.schema) {
-                    if (p.raw && p.schema->contains("type") && p.schema->at("type").is_string() && p.schema->at("type") == "string") {
-                        // TODO: Implement more comprehensive grammar generation for raw strings.
-                        // For now, use the grammar emitted from the underlying parser.
-                        return to_gbnf(p.child);
-                    }
-                    return builder.add_schema(p.name, *p.schema);
+                if (schema_delegates(p)) {
+                    return to_gbnf(p.child);
                 }
-                return to_gbnf(p.child);
+                return builder.add_schema(p.name, *p.schema);
             } else if constexpr (std::is_same_v<T, common_peg_rule_parser>) {
                 return p.name;
             } else if constexpr (std::is_same_v<T, common_peg_ref_parser>) {
@@ -1681,6 +1765,8 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
                 return to_gbnf(p.child);
             } else if constexpr (std::is_same_v<T, common_peg_atomic_parser>) {
                 return to_gbnf(p.child);
+            } else if constexpr (std::is_same_v<T, common_peg_gbnf_parser>) {
+                return p.grammar;
             } else {
                 static_assert(is_always_false_v<T>);
             }
@@ -1815,6 +1901,8 @@ static nlohmann::json serialize_parser_variant(const common_peg_parser_variant &
                 {"child", p.child},
                 {"tag", p.tag}
             };
+        } else if constexpr (std::is_same_v<T, common_peg_gbnf_parser>) {
+            return json{{"type", "gbnf"}, {"child", p.child}, {"grammar", p.grammar}};
         }
     }, variant);
 }
@@ -1977,6 +2065,16 @@ static common_peg_parser_variant deserialize_parser_variant(const nlohmann::json
         };
     }
 
+    if (type == "gbnf") {
+        if (!j.contains("child") || !j.contains("grammar")) {
+            throw std::runtime_error("gbnf parser missing required fields");
+        }
+        return common_peg_gbnf_parser{
+            j["child"].get<common_peg_parser_id>(),
+            j["grammar"].get<std::string>(),
+        };
+    }
+
     throw std::runtime_error("Unknown parser type: " + type);
 }
 
diff --git a/common/peg-parser.h b/common/peg-parser.h
index 31cdf9ec2ded6addaf8c63d773bae3bebdd35947..b6bb05214bb28d25935e59d9852f3a947f875f76 100644
--- a/common/peg-parser.h
+++ b/common/peg-parser.h
@@ -106,6 +106,9 @@ class common_peg_ast_arena {
 
     const common_peg_ast_node & get(common_peg_ast_id id) const { return nodes_.at(id); }
 
+    common_peg_ast_id find_by_tag(const common_peg_ast_node & parent, const std::string & tag, int max_depth = 3) const;
+    common_peg_ast_id find_by_rule(const common_peg_ast_node & parent, const std::string & tag, int max_depth = 3) const;
+
     size_t size() const { return nodes_.size(); }
 
     void clear() { nodes_.clear(); }
@@ -267,6 +270,11 @@ struct common_peg_tag_parser {
     std::string tag;
 };
 
+struct common_peg_gbnf_parser {
+    common_peg_parser_id child;
+    std::string grammar;
+};
+
 // Variant holding all parser types
 using common_peg_parser_variant = std::variant<
     common_peg_epsilon_parser,
@@ -287,7 +295,8 @@ using common_peg_parser_variant = std::variant<
     common_peg_rule_parser,
     common_peg_ref_parser,
     common_peg_atomic_parser,
-    common_peg_tag_parser
+    common_peg_tag_parser,
+    common_peg_gbnf_parser
 >;
 
 class common_peg_arena {
@@ -501,6 +510,10 @@ class common_peg_parser_builder {
     // Unlike rules, you can tag multiple nodes with the same tag.
     common_peg_parser tag(const std::string & tag, const common_peg_parser & p) { return add(common_peg_tag_parser{p.id(), tag}); }
 
+    // Wraps a child parser but emits a custom GBNF grammar string instead of
+    // the child's grammar. Parsing delegates entirely to the child.
+    common_peg_parser gbnf(const common_peg_parser & p, const std::string & grammar) { return add(common_peg_gbnf_parser{p, grammar}); }
+
     void set_root(const common_peg_parser & p);
 
     common_peg_arena build();
diff --git a/common/reasoning-budget.cpp b/common/reasoning-budget.cpp
index a55e4f509d4312cab4d40ba95ba17d599299abad..cc408a6869988ea40adb6484570e38d1917b5b9e 100644
--- a/common/reasoning-budget.cpp
+++ b/common/reasoning-budget.cpp
@@ -115,9 +115,11 @@ static void common_reasoning_budget_accept(struct llama_sampler * smpl, llama_to
             break;
         }
         case REASONING_BUDGET_FORCING:
-            // force_pos is advanced in apply(), not here.
-            // This ensures the first forced token isn't skipped when the sampler
-            // is initialized directly in FORCING state (e.g. COUNTING + budget=0)
+            ctx->force_pos++;
+            if (ctx->force_pos >= ctx->forced_tokens.size()) {
+                ctx->state = REASONING_BUDGET_DONE;
+                LOG_INF("reasoning-budget: forced sequence complete, done\n");
+            }
             break;
         case REASONING_BUDGET_DONE:
             break;
@@ -144,14 +146,6 @@ static void common_reasoning_budget_apply(struct llama_sampler * smpl, llama_tok
             cur_p->data[i].logit = -INFINITY;
         }
     }
-
-    // advance to next forced token (done here rather than in accept so that
-    // the first forced token isn't skipped when starting in FORCING state)
-    ctx->force_pos++;
-    if (ctx->force_pos >= ctx->forced_tokens.size()) {
-        ctx->state = REASONING_BUDGET_DONE;
-        LOG_INF("reasoning-budget: forced sequence complete, done\n");
-    }
 }
 
 static void common_reasoning_budget_reset(struct llama_sampler * smpl) {
@@ -163,9 +157,15 @@ static void common_reasoning_budget_reset(struct llama_sampler * smpl) {
     ctx->force_pos = 0;
 }
 
+// forward declaration for use in clone
+static struct llama_sampler * common_reasoning_budget_init_state(
+        const struct llama_vocab * vocab, const std::vector<llama_token> & start_tokens,
+        const std::vector<llama_token> & end_tokens, const std::vector<llama_token> & forced_tokens,
+        int32_t budget, common_reasoning_budget_state initial_state);
+
 static struct llama_sampler * common_reasoning_budget_clone(const struct llama_sampler * smpl) {
     const auto * ctx = (const common_reasoning_budget_ctx *) smpl->ctx;
-    return common_reasoning_budget_init(
+    return common_reasoning_budget_init_state(
         ctx->vocab,
         ctx->start_matcher.tokens,
         ctx->end_matcher.tokens,
@@ -191,13 +191,13 @@ static struct llama_sampler_i common_reasoning_budget_i = {
     /* .backend_set_input = */ nullptr,
 };
 
-struct llama_sampler * common_reasoning_budget_init(
-        const struct llama_vocab       * vocab,
-        const std::vector<llama_token> & start_tokens,
-        const std::vector<llama_token> & end_tokens,
-        const std::vector<llama_token> & forced_tokens,
-        int32_t                          budget,
-        common_reasoning_budget_state    initial_state) {
+static struct llama_sampler * common_reasoning_budget_init_state(
+        const struct llama_vocab             * vocab,
+        const std::vector<llama_token>       & start_tokens,
+        const std::vector<llama_token>       & end_tokens,
+        const std::vector<llama_token>       & forced_tokens,
+        int32_t                                budget,
+        common_reasoning_budget_state          initial_state) {
     // promote COUNTING with budget <= 0 to FORCING
     if (initial_state == REASONING_BUDGET_COUNTING && budget <= 0) {
         initial_state = REASONING_BUDGET_FORCING;
@@ -217,3 +217,48 @@ struct llama_sampler * common_reasoning_budget_init(
         }
     );
 }
+
+struct llama_sampler * common_reasoning_budget_init(
+        const struct llama_vocab       * vocab,
+        const std::vector<llama_token> & start_tokens,
+        const std::vector<llama_token> & end_tokens,
+        const std::vector<llama_token> & forced_tokens,
+        int32_t                          budget,
+        const std::vector<llama_token> & prefill_tokens) {
+    // Determine initial state from prefill: COUNTING if the prefill begins with
+    // the start sequence but does not also contain the end sequence after it.
+    common_reasoning_budget_state initial_state = REASONING_BUDGET_IDLE;
+    if (!prefill_tokens.empty() && !start_tokens.empty() &&
+            prefill_tokens.size() >= start_tokens.size() &&
+            std::equal(start_tokens.begin(), start_tokens.end(), prefill_tokens.begin())) {
+        initial_state = REASONING_BUDGET_COUNTING;
+        // If the end sequence also follows the start in the prefill, reasoning
+        // was opened and immediately closed — stay IDLE.
+        if (!end_tokens.empty() &&
+                prefill_tokens.size() >= start_tokens.size() + end_tokens.size()) {
+            auto end_start = prefill_tokens.end() - (ptrdiff_t) end_tokens.size();
+            if (end_start >= prefill_tokens.begin() + (ptrdiff_t) start_tokens.size() &&
+                    std::equal(end_tokens.begin(), end_tokens.end(), end_start)) {
+                initial_state = REASONING_BUDGET_IDLE;
+            }
+        }
+    }
+    return common_reasoning_budget_init_state(vocab, start_tokens, end_tokens, forced_tokens, budget, initial_state);
+}
+
+struct llama_sampler * common_reasoning_budget_init(
+        const struct llama_vocab       * vocab,
+        const std::vector<llama_token> & start_tokens,
+        const std::vector<llama_token> & end_tokens,
+        const std::vector<llama_token> & forced_tokens,
+        int32_t                          budget,
+        common_reasoning_budget_state    initial_state) {
+    return common_reasoning_budget_init_state(vocab, start_tokens, end_tokens, forced_tokens, budget, initial_state);
+}
+
+common_reasoning_budget_state common_reasoning_budget_get_state(const struct llama_sampler * smpl) {
+    if (!smpl) {
+        return REASONING_BUDGET_IDLE;
+    }
+    return ((const common_reasoning_budget_ctx *)smpl->ctx)->state;
+}
diff --git a/common/reasoning-budget.h b/common/reasoning-budget.h
index 08ad2824811dd2741681ce0afd38eb3bd0c6be89..ee1a30ed3c1b5818e75d691dbd91623a796cf962 100644
--- a/common/reasoning-budget.h
+++ b/common/reasoning-budget.h
@@ -24,14 +24,26 @@ enum common_reasoning_budget_state {
 //   DONE:         passthrough forever
 //
 // Parameters:
-//   vocab         - vocabulary (used for UTF-8 boundary detection; can be nullptr)
-//   start_tokens  - token sequence that activates counting
-//   end_tokens    - token sequence for natural deactivation
-//   forced_tokens - token sequence forced when budget expires
-//   budget        - max tokens allowed in the reasoning block
-//   initial_state - initial state of the sampler (e.g. IDLE or COUNTING)
-//                   note: COUNTING with budget <= 0 is promoted to FORCING
+//   vocab          - vocabulary (used for UTF-8 boundary detection; can be nullptr)
+//   start_tokens   - token sequence that activates counting
+//   end_tokens     - token sequence for natural deactivation
+//   forced_tokens  - token sequence forced when budget expires
+//   budget         - max tokens allowed in the reasoning block
+//   prefill_tokens - tokens already present in the prompt (generation prompt);
+//                    used to determine the initial state: COUNTING if they begin
+//                    with start_tokens (but don't also end with end_tokens),
+//                    IDLE otherwise. COUNTING with budget <= 0 is promoted to FORCING.
 //
+struct llama_sampler * common_reasoning_budget_init(
+        const struct llama_vocab       * vocab,
+        const std::vector<llama_token> & start_tokens,
+        const std::vector<llama_token> & end_tokens,
+        const std::vector<llama_token> & forced_tokens,
+        int32_t                          budget,
+        const std::vector<llama_token> & prefill_tokens = {});
+
+// Variant that takes an explicit initial state (used by tests and clone).
+// COUNTING with budget <= 0 is promoted to FORCING.
 struct llama_sampler * common_reasoning_budget_init(
         const struct llama_vocab       * vocab,
         const std::vector<llama_token> & start_tokens,
@@ -39,3 +51,5 @@ struct llama_sampler * common_reasoning_budget_init(
         const std::vector<llama_token> & forced_tokens,
         int32_t                          budget,
         common_reasoning_budget_state    initial_state);
+
+common_reasoning_budget_state common_reasoning_budget_get_state(const struct llama_sampler * smpl);
diff --git a/common/sampling.cpp b/common/sampling.cpp
index f849d4f61af0187d8653cd31f860506b884c41f3..b2e6d8e8d89b55600e21fa458e614c1bec70dd8c 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -1,13 +1,19 @@
 #include "sampling.h"
 
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 #include "reasoning-budget.h"
 
+#include "ggml.h"
+
 #include <algorithm>
+#include <cctype>
+#include <climits>
 #include <cmath>
 #include <cstring>
 #include <unordered_map>
+#include <vector>
 
 // the ring buffer works similarly to std::deque, but with a fixed capacity
 // TODO: deduplicate with llama-impl.h
@@ -106,6 +112,7 @@ struct common_sampler {
     common_params_sampling params;
 
     struct llama_sampler * grmr;
+    struct llama_sampler * rbudget;
     struct llama_sampler * chain;
 
     ring_buffer<llama_token> prev;
@@ -185,13 +192,15 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
     lparams.no_perf = params.no_perf;
 
     llama_sampler * grmr = nullptr;
+    llama_sampler * rbudget = nullptr;
     llama_sampler * chain = llama_sampler_chain_init(lparams);
 
     std::vector<llama_sampler *> samplers;
 
-    if (params.grammar.compare(0, 11, "%llguidance") == 0) {
+    const std::string & grammar_str = common_grammar_value(params.grammar);
+    if (grammar_str.compare(0, 11, "%llguidance") == 0) {
 #ifdef LLAMA_USE_LLGUIDANCE
-        grmr = llama_sampler_init_llg(vocab, "lark", params.grammar.c_str());
+        grmr = llama_sampler_init_llg(vocab, "lark", grammar_str.c_str());
 #else
         GGML_ABORT("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled");
 #endif // LLAMA_USE_LLGUIDANCE
@@ -240,26 +249,55 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
             trigger_patterns_c.push_back(regex.c_str());
         }
 
-        if (!params.grammar.empty()) {
+        if (!grammar_str.empty()) {
              if (params.grammar_lazy) {
-                 grmr = llama_sampler_init_grammar_lazy_patterns(vocab, params.grammar.c_str(), "root",
+                 grmr = llama_sampler_init_grammar_lazy_patterns(vocab, grammar_str.c_str(), "root",
                          trigger_patterns_c.data(), trigger_patterns_c.size(),
                          trigger_tokens.data(), trigger_tokens.size());
              } else {
-                 grmr = llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root");
+                 grmr = llama_sampler_init_grammar(vocab, grammar_str.c_str(), "root");
              }
         }
     }
 
-    // reasoning budget sampler — added first so it can force tokens before other samplers
-    if (params.reasoning_budget_tokens >= 0 && !params.reasoning_budget_forced.empty()) {
-        samplers.push_back(common_reasoning_budget_init(
+    // Feed generation prompt tokens to the grammar sampler so it advances past
+    // tokens the template already placed in the prompt.
+    // Only applies to output-format and tool-call grammars; user-supplied grammars must not be prefilled.
+    std::vector<llama_token> prefill_tokens;
+    if (!params.generation_prompt.empty() && common_grammar_needs_prefill(params.grammar)) {
+        GGML_ASSERT(vocab != nullptr);
+        prefill_tokens = common_tokenize(vocab, params.generation_prompt, false, true);
+        if (!prefill_tokens.empty()) {
+            std::string first_token = common_token_to_piece(vocab, prefill_tokens[0], true);
+            if (std::isspace(first_token[0]) && !std::isspace(params.generation_prompt[0])) {
+                // Some tokenizers will add a space before the first special token, need to remove
+                prefill_tokens = std::vector<llama_token>(prefill_tokens.begin() + 1, prefill_tokens.end());
+            }
+        }
+
+        if (grmr && !params.grammar_lazy) {
+            try {
+                for (const auto & token : prefill_tokens) {
+                    llama_sampler_accept(grmr, token);
+                    LOG_DBG("%s: accepted prefill token (%d)\n", __func__, token);
+                }
+            } catch (std::exception &e) {
+                LOG_ERR("%s: error initializing grammar sampler for grammar:\n%s\n\nGeneration prompt:\n'%s'\n", __func__,
+                    common_grammar_value(params.grammar).c_str(), params.generation_prompt.c_str());
+                throw e;
+            }
+        }
+    }
+
+    // reasoning budget sampler (skip when budget is unlimited unless a lazy grammar is active, which needs rbudget for thinking-block suppression)
+    if (!params.reasoning_budget_start.empty() && !params.reasoning_budget_end.empty() && (params.grammar_lazy || params.reasoning_budget_tokens >= 0)) {
+        rbudget = common_reasoning_budget_init(
             vocab,
             params.reasoning_budget_start,
             params.reasoning_budget_end,
             params.reasoning_budget_forced,
-            params.reasoning_budget_tokens,
-            params.reasoning_budget_activate_immediately ? REASONING_BUDGET_COUNTING : REASONING_BUDGET_IDLE));
+            params.reasoning_budget_tokens < 0 ? INT_MAX : params.reasoning_budget_tokens,
+            prefill_tokens);
     }
 
     if (params.has_logit_bias()) {
@@ -347,9 +385,16 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
         params.backend_sampling = false;
     }
 
+    if (rbudget && params.backend_sampling) {
+        LOG_WRN("%s: backend sampling is not compatible with reasoning budget, disabling\n", __func__);
+
+        params.backend_sampling = false;
+    }
+
     auto * result = new common_sampler {
         /* .params  = */ params,
         /* .grmr    = */ grmr,
+        /* .rbudget = */ rbudget,
         /* .chain   = */ chain,
         /* .prev    = */ ring_buffer<llama_token>(std::max(32, params.n_prev)),
         /* .cur     = */ {},
@@ -365,11 +410,27 @@ void common_sampler_free(struct common_sampler * gsmpl) {
     }
 
     llama_sampler_free(gsmpl->grmr);
+    llama_sampler_free(gsmpl->rbudget);
     llama_sampler_free(gsmpl->chain);
 
     delete gsmpl;
 }
 
+static bool grammar_should_apply(struct common_sampler * gsmpl) {
+    if (!gsmpl->grmr) {
+        return false;
+    }
+    if (!gsmpl->rbudget) {
+        return true;
+    }
+    if (gsmpl->params.grammar_lazy) {
+        // if grammar is lazy, only apply when reasoning budget is not active
+        const auto state = common_reasoning_budget_get_state(gsmpl->rbudget);
+        return state == REASONING_BUDGET_IDLE || state == REASONING_BUDGET_DONE;
+    }
+    return true;
+}
+
 void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool accept_grammar) {
     if (!gsmpl) {
         return;
@@ -377,6 +438,11 @@ void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, boo
 
     const auto tm = gsmpl->tm();
 
+    // grammar_should_apply() checks the reasoning budget state, so calculate this before we accept
+    accept_grammar = accept_grammar && grammar_should_apply(gsmpl);
+
+    llama_sampler_accept(gsmpl->rbudget, token);
+
     if (gsmpl->grmr && accept_grammar) {
         llama_sampler_accept(gsmpl->grmr, token);
     }
@@ -398,6 +464,7 @@ struct common_sampler * common_sampler_clone(common_sampler * gsmpl) {
     return new common_sampler {
         /* .params  = */ gsmpl->params,
         /* .grmr    = */ llama_sampler_clone(gsmpl->grmr),
+        /* .rbudget = */ llama_sampler_clone(gsmpl->rbudget),
         /* .chain   = */ llama_sampler_clone(gsmpl->chain),
         /* .prev    = */ gsmpl->prev,
         /* .cur     = */ gsmpl->cur,
@@ -446,7 +513,7 @@ void common_perf_print(const struct llama_context * ctx, const struct common_sam
         LOG_INF("%s: unaccounted time = %10.2f ms / %5.1f %%      (total - sampling - prompt eval - eval) / (total)\n", __func__, t_unacc_ms, t_unacc_pc);
         LOG_INF("%s:    graphs reused = %10d\n", __func__, data.n_reused);
 
-        llama_memory_breakdown_print(ctx);
+        common_memory_breakdown_print(ctx);
     }
 }
 
@@ -467,6 +534,7 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co
     llama_token id = LLAMA_TOKEN_NULL;
 
     auto & grmr  = gsmpl->grmr;
+    auto & rbudget = gsmpl->rbudget;
     auto & chain = gsmpl->chain;
     auto & cur_p = gsmpl->cur_p; // initialized by set_logits
 
@@ -478,7 +546,8 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co
         if (id != LLAMA_TOKEN_NULL) {
             LOG_DBG("%s: Backend sampler selected token: '%d'. Will not run any CPU samplers\n", __func__, id);
 
-            GGML_ASSERT(!gsmpl->grmr && "using grammar in combination with backend sampling is not supported");
+            GGML_ASSERT(!gsmpl->grmr    && "using grammar in combination with backend sampling is not supported");
+            GGML_ASSERT(!gsmpl->rbudget && "using reasoning budget in combination with backend sampling is not supported");
 
             // TODO: simplify
             gsmpl->cur.resize(1);
@@ -491,7 +560,10 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co
 
     gsmpl->set_logits(ctx, idx);
 
-    if (grammar_first) {
+    // apply reasoning budget first
+    llama_sampler_apply(rbudget, &cur_p);
+
+    if (grammar_first && grammar_should_apply(gsmpl)) {
         llama_sampler_apply(grmr, &cur_p);
     }
 
@@ -499,7 +571,7 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co
 
     id = cur_p.data[cur_p.selected].id;
 
-    if (grammar_first) {
+    if (grammar_first || !grammar_should_apply(gsmpl)) {
         return id;
     }
 
@@ -520,7 +592,12 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co
     // if the token is not valid, sample again, but first apply the grammar sampler and then the sampling chain
     gsmpl->set_logits(ctx, idx);
 
-    llama_sampler_apply(grmr,  &cur_p);
+    llama_sampler_apply(rbudget,  &cur_p);
+
+    if (grammar_should_apply(gsmpl)) {
+        llama_sampler_apply(grmr,  &cur_p);
+    }
+
     llama_sampler_apply(chain, &cur_p);
 
     GGML_ASSERT(cur_p.selected != -1 && "no selected token during sampling - check your sampling configuration");
diff --git a/common/speculative.cpp b/common/speculative.cpp
index 3e68c38e49cc972d06f0cb1568aff054b781038c..daa2b5a8ac9a22ac4dd0f0311de80125315deed0 100644
--- a/common/speculative.cpp
+++ b/common/speculative.cpp
@@ -13,6 +13,7 @@
 #include <cstring>
 #include <iomanip>
 #include <map>
+#include <cinttypes>
 
 #define SPEC_VOCAB_MAX_SIZE_DIFFERENCE  128
 #define SPEC_VOCAB_CHECK_START_TOKEN_ID 5
@@ -144,10 +145,28 @@ struct common_speculative_state {
     virtual void accept(uint16_t n_accepted) = 0;
 };
 
+struct common_speculative_checkpoint {
+    llama_pos pos_min  = 0;
+    llama_pos pos_max  = 0;
+
+    int64_t   n_tokens = 0;
+
+    std::vector<uint8_t> data;
+
+    size_t size() const {
+        return data.size();
+    }
+
+    size_t ckpt_size   = 0;
+};
+
 struct common_speculative_state_draft : public common_speculative_state {
     llama_context * ctx_tgt; // only used for retokenizing from ctx_dft
     llama_context * ctx_dft;
 
+    bool use_ckpt = false;
+    struct common_speculative_checkpoint ckpt;
+
     common_sampler * smpl;
 
     llama_batch  batch;
@@ -160,10 +179,12 @@ struct common_speculative_state_draft : public common_speculative_state {
             enum common_speculative_type type,
             llama_context * ctx_tgt,
             llama_context * ctx_dft,
-            const std::vector<std::pair<std::string, std::string>> & replacements)
+            const std::vector<std::pair<std::string, std::string>> & replacements,
+            bool use_ckpt)
         : common_speculative_state(type)
         , ctx_tgt(ctx_tgt)
         , ctx_dft(ctx_dft)
+        , use_ckpt(use_ckpt)
     {
         batch = llama_batch_init(llama_n_batch(ctx_dft), 0, 1);
         smpl = nullptr;
@@ -218,7 +239,48 @@ struct common_speculative_state_draft : public common_speculative_state {
     }
 
     void begin(const llama_tokens & prompt) override {
-        GGML_UNUSED(prompt);
+        if (use_ckpt && ckpt.size() > 0) {
+            // delete checkpoint
+            LOG_DBG("%s: delete checkpoint, prompt.size=%zu, pos_min=%d, pos_max=%d, n_tokens=%" PRId64 ", size=%.3f MiB\n",
+                    __func__, prompt.size(), ckpt.pos_min, ckpt.pos_max, ckpt.n_tokens, (float) ckpt.data.size() / 1024 / 1024);
+            ckpt.pos_min   = 0;
+            ckpt.pos_max   = 0;
+            ckpt.n_tokens  = 0;
+            ckpt.ckpt_size = 0;
+            ckpt.data.clear();
+        }
+    }
+
+    size_t draft_create_checkpoint(int n_tokens_prompt, int n_tokens_batch) {
+        int slot_id = 0;
+        const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx_dft, slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+
+        ckpt.pos_min  = llama_memory_seq_pos_min(llama_get_memory(ctx_dft), slot_id);
+        ckpt.pos_max  = llama_memory_seq_pos_max(llama_get_memory(ctx_dft), slot_id);
+        ckpt.n_tokens = n_tokens_prompt - n_tokens_batch;
+        ckpt.data.resize(checkpoint_size);
+
+        const size_t n = llama_state_seq_get_data_ext(ctx_dft, ckpt.data.data(), checkpoint_size, slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+        if (n != checkpoint_size) {
+            GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", checkpoint_size, n);
+        }
+
+        LOG_DBG("%s: pos_min = %d, pos_max = %d, size = %.3f MiB\n", __func__,
+                ckpt.pos_min, ckpt.pos_max, (float) ckpt.data.size() / 1024 / 1024);
+        return n;
+    }
+
+    size_t draft_restore_checkpoint(size_t ckpt_size_part_expected) {
+        int slot_id = 0;
+        LOG_DBG("%s: pos_min = %d, pos_max = %d\n", __func__, ckpt.pos_min, ckpt.pos_max);
+        const size_t n = llama_state_seq_set_data_ext(ctx_dft, ckpt.data.data(), ckpt.size(), slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+        if (n != ckpt_size_part_expected) {
+            GGML_ABORT("%s: failed to restore context checkpoint (pos_min=%d, pos_max=%d, size=%zu, get_data_ext->%zu, set_data_ext->%zu",
+                        __func__, ckpt.pos_min, ckpt.pos_max, ckpt.size(), ckpt_size_part_expected, n);
+        }
+        llama_memory_seq_rm(llama_get_memory(ctx_dft), slot_id, ckpt.pos_max + 1, -1);
+
+        return n;
     }
 
     void draft(
@@ -236,8 +298,8 @@ struct common_speculative_state_draft : public common_speculative_state {
 
         auto * mem_dft = llama_get_memory(ctx_dft);
 
-        int reuse_i = 0;
-        int reuse_n = 0;
+        int reuse_i = 0; // index of part to be reused in prompt_dft
+        int reuse_n = 0; // length of part to be reused in prompt_dft
 
         const int n_ctx = llama_n_ctx(ctx_dft) - params.n_max;
 
@@ -287,18 +349,26 @@ struct common_speculative_state_draft : public common_speculative_state {
             }
         }
 
-        LOG_DBG("%s: reuse_i = %d, reuse_n = %d, prompt = %d\n", __func__, reuse_i, reuse_n, (int) prompt_dft.size());
+        LOG_DBG("%s: reuse_i = %d, reuse_n = %d, #prompt_dft = %zu, #prompt_cur = %zu\n",
+                __func__, reuse_i, reuse_n, prompt_dft.size(), prompt_cur.size());
+        if (use_ckpt && ckpt.ckpt_size == 0 && reuse_n > 0) {
+            LOG_DBG("%s: no checkpoint available, no reuse, (reuse_i=%d, reuse_n=%d) -> (0, 0)\n",
+                    __func__, reuse_i, reuse_n);
+            reuse_i = 0;
+            reuse_n = 0;
+        }
 
         result.clear();
         result.reserve(params.n_max);
 
-        if (reuse_n == 0) {
+        bool needs_ckpt = use_ckpt && prompt_dft.size() > 0;
+        if (reuse_n == 0 || (use_ckpt && reuse_i > 0)) {
             llama_memory_clear(mem_dft, false);
             prompt_dft.clear();
         } else {
             // this happens when a previous draft has been discarded (for example, due to being too small), but the
             // target model agreed with it. in this case, we simply pass back the previous results to save compute
-            if (reuse_i + reuse_n < (int) prompt_dft.size() && prompt_dft[reuse_i + reuse_n] == id_last) {
+            if (reuse_i + reuse_n < (int64_t) prompt_dft.size() && prompt_dft[reuse_i + reuse_n] == id_last) {
                 for (int i = reuse_i + reuse_n + 1; i < (int) prompt_dft.size(); ++i) {
                     result.push_back(prompt_dft[i]);
 
@@ -310,19 +380,50 @@ struct common_speculative_state_draft : public common_speculative_state {
                 return;
             }
 
+            bool do_restore = false;
+            if (prompt_dft.size() > prompt_cur.size() && reuse_i + reuse_n < (int64_t) prompt_dft.size()) {
+                // This can happen after a partial acceptance (speculative decoding with checkpoints)
+                LOG_DBG("%s: #prompt_dft=%zu, #prompt_cur=%zu, shorten draft\n",
+                        __func__, prompt_dft.size(), prompt_cur.size());
+                prompt_dft.resize(prompt_cur.size());
+                do_restore = true;
+            }
+
             if (reuse_i > 0) {
-                llama_memory_seq_rm (mem_dft, 0, 0, reuse_i);
+                bool is_removed = llama_memory_seq_rm (mem_dft, 0, 0, reuse_i);
+                if (!is_removed) {
+                    LOG_ERR("%s: llama_memory_seq_rm failed, reuse_i=%d\n", __func__, reuse_i);
+                }
                 llama_memory_seq_add(mem_dft, 0, reuse_i, -1, -reuse_i);
 
                 prompt_dft.erase(prompt_dft.begin(), prompt_dft.begin() + reuse_i);
             }
 
-            if (reuse_n < (int) prompt_dft.size()) {
-                llama_memory_seq_rm (mem_dft, 0, reuse_n, -1);
-                prompt_dft.erase(prompt_dft.begin() + reuse_n, prompt_dft.end());
+            if (reuse_n < (int) prompt_dft.size() || do_restore) {
+                if (use_ckpt) {
+                    if (ckpt.n_tokens > (int64_t) prompt_dft.size()) {
+                        LOG_INF("%s: checkpoint is too large, prompt_tgt.size=%zu, ckpt.n_tokens=%" PRId64 ", reuse_n=%d, prompt_dft.size=%zu\n",
+                                __func__, prompt_tgt.size(), ckpt.n_tokens, reuse_n, prompt_dft.size());
+                    }
+                    draft_restore_checkpoint(ckpt.ckpt_size);
+                    reuse_n = ckpt.n_tokens;
+                    prompt_dft.resize(reuse_n);
+                    needs_ckpt = false;
+                } else {
+                    bool is_removed = llama_memory_seq_rm (mem_dft, 0, reuse_n, -1);
+                    if (!is_removed) {
+                        LOG_ERR("%s: llama_memory_seq_rm failed, reuse_n=%d, prompt_dft.size=%zu\n",
+                                __func__, reuse_n, prompt_dft.size());
+                    }
+                    prompt_dft.erase(prompt_dft.begin() + reuse_n, prompt_dft.end());
+                }
             }
         }
 
+        if (needs_ckpt) {
+            ckpt.ckpt_size = draft_create_checkpoint(prompt_dft.size(), batch.n_tokens);
+        }
+
         // prepare a batch to evaluate any new tokens in the prompt
         common_batch_clear(batch);
 
@@ -337,7 +438,11 @@ struct common_speculative_state_draft : public common_speculative_state {
         if (batch.n_tokens > 0) {
             //LOG_DBG("%s: draft prompt batch: %s\n", __func__, string_from(ctx, batch).c_str());
 
-            llama_decode(ctx_dft, batch);
+            int ret = llama_decode(ctx_dft, batch);
+            if (ret != 0 && ret != 1) {
+                LOG_WRN("%s: llama_decode returned %d, prompt_cur.size=%zu\n",
+                        __func__, ret, prompt_cur.size());
+            }
         }
 
         const llama_pos n_past = prompt_dft.size();
@@ -351,7 +456,11 @@ struct common_speculative_state_draft : public common_speculative_state {
 
         LOG_DBG("%s: draft prompt: %s\n", __func__, string_from(ctx_dft, prompt_dft).c_str());
 
-        llama_decode(ctx_dft, batch);
+        int ret = llama_decode(ctx_dft, batch);
+        if (ret != 0 && ret != 1) {
+            LOG_WRN("%s: llama_decode returned %d, prompt_cur.size=%zu, prompt_dft.size=%zu\n",
+                    __func__, ret, prompt_cur.size(), prompt_dft.size());
+        }
 
         common_sampler_reset(smpl);
 
@@ -387,7 +496,11 @@ struct common_speculative_state_draft : public common_speculative_state {
             common_batch_add(batch, id, n_past + i + 1, { 0 }, true);
 
             // evaluate the drafted tokens on the draft model
-            llama_decode(ctx_dft, batch);
+            ret = llama_decode(ctx_dft, batch);
+            if (ret != 0) {
+                LOG_WRN("%s: llama_decode[%d] returned %d, prompt_cur.size=%zu, prompt_dft.size=%zu\n",
+                        __func__, i, ret, prompt_cur.size(), prompt_dft.size());
+            }
 
             prompt_dft.push_back(id);
         }
@@ -739,6 +852,7 @@ struct common_speculative_state_ngram_cache : public common_speculative_state {
 
 struct common_speculative {
     std::vector<std::unique_ptr<common_speculative_state>> impls; // list of implementations to use and their states
+
     common_speculative_state * curr_impl = nullptr; // current implementation in use (for stats)
 };
 
@@ -798,42 +912,6 @@ enum common_speculative_type common_speculative_type_from_name(const std::string
     return it->second;
 }
 
-bool common_speculative_is_compat(llama_context * ctx_tgt) {
-    auto * mem = llama_get_memory(ctx_tgt);
-    if (mem == nullptr) {
-        return false;
-    }
-
-    bool res = true;
-
-    llama_memory_clear(mem, true);
-
-    // eval 2 tokens to check if the context is compatible
-    std::vector<llama_token> tmp;
-    tmp.push_back(0);
-    tmp.push_back(0);
-
-    int ret = llama_decode(ctx_tgt, llama_batch_get_one(tmp.data(), tmp.size()));
-    if (ret != 0) {
-        LOG_ERR("%s: llama_decode() failed: %d\n", __func__, ret);
-        res = false;
-        goto done;
-    }
-
-    // try to remove the last tokens
-    if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
-        LOG_WRN("%s: the target context does not support partial sequence removal\n", __func__);
-        res = false;
-        goto done;
-    }
-
-done:
-    llama_memory_clear(mem, true);
-    llama_synchronize(ctx_tgt);
-
-    return res;
-}
-
 // initialization of the speculative decoding system
 //
 common_speculative * common_speculative_init(
@@ -908,10 +986,13 @@ common_speculative * common_speculative_init(
             case COMMON_SPECULATIVE_TYPE_NONE:
                 break;
             case COMMON_SPECULATIVE_TYPE_DRAFT: {
+                const bool use_ckpt = common_context_can_seq_rm(ctx_dft) == COMMON_CONTEXT_SEQ_RM_TYPE_FULL;
+
                 impls.push_back(std::make_unique<common_speculative_state_draft>(config.type,
                     /* .ctx_tgt      = */ ctx_tgt,
                     /* .ctx_dft      = */ ctx_dft,
-                    /* .replacements = */ params.replacements
+                    /* .replacements = */ params.replacements,
+                    /* .use_ckpt     = */ use_ckpt
                 ));
                 break;
             }
@@ -966,7 +1047,8 @@ common_speculative * common_speculative_init(
     }
 
     auto * result = new common_speculative {
-        /* .impls = */ std::move(impls)
+        /* .impls     = */ std::move(impls),
+        /* .curr_impl = */ nullptr,
     };
 
     return result;
diff --git a/common/speculative.h b/common/speculative.h
index 876cde3d18011a3baea9dca29f9933bab52d3b9e..bca78d32b5b361507b8f9fc892d93f004d84e384 100644
--- a/common/speculative.h
+++ b/common/speculative.h
@@ -14,10 +14,6 @@ enum common_speculative_type common_speculative_type_from_name(const std::string
 // convert type to string
 std::string common_speculative_type_to_str(enum common_speculative_type type);
 
-// check if the llama_context is compatible for speculative decoding
-// note: clears the memory of the context
-bool common_speculative_is_compat(llama_context * ctx_tgt);
-
 common_speculative * common_speculative_init(
         common_params_speculative & params,
         llama_context             * ctx_tgt);
@@ -39,3 +35,9 @@ void common_speculative_accept(common_speculative * spec, uint16_t n_accepted);
 
 // print statistics about the speculative decoding
 void common_speculative_print_stats(const common_speculative * spec);
+
+struct common_speculative_deleter {
+    void operator()(common_speculative * s) { common_speculative_free(s); }
+};
+
+typedef std::unique_ptr<common_speculative, common_speculative_deleter> common_speculative_ptr;
diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py
index 46469c862000065d2b5892a0388134a7e55e8b6e..5b4fb79fc1b3d2bcc434ecbd6be3e0dac6d31066 100644
--- a/convert_hf_to_gguf.py
+++ b/convert_hf_to_gguf.py
@@ -31,10 +31,10 @@ import gguf
 from gguf.vocab import MistralTokenizerType, MistralVocab
 
 try:
-    from mistral_common.tokens.tokenizers.base import TokenizerVersion # pyright: ignore[reportMissingImports]
-    from mistral_common.tokens.tokenizers.multimodal import DATASET_MEAN as _MISTRAL_COMMON_DATASET_MEAN, DATASET_STD as _MISTRAL_COMMON_DATASET_STD # pyright: ignore[reportMissingImports]
-    from mistral_common.tokens.tokenizers.tekken import Tekkenizer # pyright: ignore[reportMissingImports]
-    from mistral_common.tokens.tokenizers.sentencepiece import ( # pyright: ignore[reportMissingImports]
+    from mistral_common.tokens.tokenizers.base import TokenizerVersion # type: ignore[import-not-found, ty:unresolved-import]
+    from mistral_common.tokens.tokenizers.multimodal import DATASET_MEAN as _MISTRAL_COMMON_DATASET_MEAN, DATASET_STD as _MISTRAL_COMMON_DATASET_STD # type: ignore[import-not-found, ty:unresolved-import]
+    from mistral_common.tokens.tokenizers.tekken import Tekkenizer # type: ignore[import-not-found, ty:unresolved-import]
+    from mistral_common.tokens.tokenizers.sentencepiece import ( # type: ignore[import-not-found, ty:unresolved-import]
         SentencePieceTokenizer,
     )
 
@@ -45,9 +45,9 @@ except ImportError:
     _MISTRAL_COMMON_DATASET_STD = (0.26862954, 0.26130258, 0.27577711)
 
     _mistral_common_installed = False
-    TokenizerVersion = None
-    Tekkenizer = None
-    SentencePieceTokenizer = None
+    TokenizerVersion: Any = None
+    Tekkenizer: Any = None
+    SentencePieceTokenizer: Any = None
     _mistral_import_error_msg = (
         "Mistral format requires `mistral-common` to be installed. Please run "
         "`pip install mistral-common[image,audio]` to install it."
@@ -145,6 +145,7 @@ class ModelBase:
         self.model_name = model_name
         self.dir_model_card = dir_model  # overridden in convert_lora_to_gguf.py
         self._is_nvfp4 = False
+        self._is_mxfp4 = False
 
         # Apply heuristics to figure out typical tensor encoding based on first tensor's dtype
         # NOTE: can't use field "torch_dtype" in config.json, because some finetunes lie.
@@ -220,7 +221,7 @@ class ModelBase:
                     if weight_map is None or not isinstance(weight_map, dict):
                         raise ValueError(f"Can't load 'weight_map' from {index_name!r}")
                     tensor_names_from_index.update(weight_map.keys())
-                    part_dict: dict[str, None] = dict.fromkeys(weight_map.values(), None)
+                    part_dict: dict[str, None] = dict.fromkeys(weight_map.values(), None) # ty: ignore[invalid-assignment]
                     part_names = sorted(part_dict.keys())
             else:
                 weight_map = {}
@@ -485,7 +486,7 @@ class ModelBase:
             elif quant_method == "modelopt":
                 # Mixed-precision ModelOpt models: NVFP4 tensors are handled by
                 # _generate_nvfp4_tensors; FP8 tensors have 1D weight_scale and
-                # are dequantized here. input_scale tensors are unused.
+                # are dequantized here. k/v scale tensors are unused.
                 for name in self.model_tensors.keys():
                     if name.endswith(".weight_scale"):
                         weight_name = name.removesuffix("_scale")
@@ -493,7 +494,7 @@ class ModelBase:
                         s = self.model_tensors[name]
                         self.model_tensors[weight_name] = lambda w=w, s=s: dequant_simple(w(), s(), None)
                         tensors_to_remove.append(name)
-                    if name.endswith((".input_scale", ".k_scale", ".v_scale")):
+                    if name.endswith((".k_scale", ".v_scale")):
                         tensors_to_remove.append(name)
             elif quant_method is not None:
                 raise NotImplementedError(f"Quant method is not yet supported: {quant_method!r}")
@@ -541,7 +542,6 @@ class ModelBase:
         raise NotImplementedError("set_gguf_parameters() must be implemented in subclasses")
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-
         new_name = self.map_tensor_name(name)
 
         # Handle gate/up expert tensor fusion if enabled
@@ -606,7 +606,12 @@ class ModelBase:
     def _nvfp4_scale2_is_trivial(scale2: Tensor) -> bool:
         return scale2.numel() <= 1 and abs(float(scale2.float().sum()) - 1.0) < 1e-6
 
-    def _repack_nvfp4(self, new_name: str, weight: Tensor, scale: Tensor, scale2: Tensor):
+    def _repack_nvfp4(self, name: str, weight: Tensor, scale: Tensor, scale2: Tensor, input_scale: Tensor):
+        if "language_model." in name:
+            name = name.replace("language_model.", "")
+
+        new_name = self.map_tensor_name(name)
+
         raw, shape = self._nvfp4_pack(weight, scale)
         logger.info(f"Repacked {new_name} with shape {shape} and quantization NVFP4")
         self.gguf_writer.add_tensor(new_name, raw, raw_dtype=gguf.GGMLQuantizationType.NVFP4)
@@ -618,10 +623,18 @@ class ModelBase:
             logger.info(f"  + {scale_name} (per-tensor NVFP4 scale2, shape [{scale2_f32.size}])")
             self.gguf_writer.add_tensor(scale_name, scale2_f32)
 
+        # Emit per-tensor input_scale as a separate F32 tensor when non-trivial
+        if not self._nvfp4_scale2_is_trivial(input_scale):
+            input_scale_f32 = input_scale.float().numpy().flatten()
+            input_scale_name = new_name.replace(".weight", ".input_scale")
+            logger.info(f"  + {input_scale_name} (per-tensor NVFP4 input_scale, shape [{input_scale_f32.size}])")
+            self.gguf_writer.add_tensor(input_scale_name, input_scale_f32)
+
     def _generate_nvfp4_tensors(self):
         # Per-layer expert merging to avoid holding all experts in memory
         expert_blocks: dict[tuple[int, str], list[tuple[int, np.ndarray]]] = {}
         expert_scales: dict[tuple[int, str], list[tuple[int, float]]] = {}
+        expert_input_scales: dict[tuple[int, str], list[tuple[int, float]]] = {}
         expert_shapes: dict[tuple[int, str], list[int]] = {}
         n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=True) or 0
         consumed: list[str] = []
@@ -631,6 +644,7 @@ class ModelBase:
                 continue
             scale_name = name.replace(".weight", ".weight_scale")
             scale2_name = name.replace(".weight", ".weight_scale_2")
+            input_scale_name = name.replace(".weight", ".input_scale")
             if scale_name not in self.model_tensors:
                 continue
             # Force eager materialization of lazy tensors
@@ -642,11 +656,14 @@ class ModelBase:
                 continue
 
             scale2 = LazyTorchTensor.to_eager(self.model_tensors.get(scale2_name, lambda: torch.tensor(1.0))())
+            input_scale = LazyTorchTensor.to_eager(self.model_tensors.get(input_scale_name, lambda: torch.tensor(1.0))())
 
             # Mark tensors for removal from model_tensors (already written to gguf)
             consumed.extend([name, scale_name])
             if scale2_name in self.model_tensors:
                 consumed.append(scale2_name)
+            if input_scale_name in self.model_tensors:
+                consumed.append(input_scale_name)
 
             # Check if this is a per-expert tensor
             m = re.search(r'\.experts\.(\d+)\.(gate_proj|up_proj|down_proj)\.weight$', name)
@@ -662,34 +679,37 @@ class ModelBase:
                 if key not in expert_blocks:
                     expert_blocks[key] = []
                     expert_scales[key] = []
+                    expert_input_scales[key] = []
                     expert_shapes[key] = shape
                 expert_blocks[key].append((expert_id, raw.copy()))
                 # Collect per-expert scale2 (scalar per expert)
                 expert_scales[key].append((expert_id, float(scale2.float().sum())))
+                # Collect per-expert input_scale (scalar per expert)
+                expert_input_scales[key].append((expert_id, float(input_scale.float().sum())))
 
                 # Flush when all experts for this (layer, proj) are collected
                 if n_experts > 0 and len(expert_blocks[key]) >= n_experts:
-                    self._flush_nvfp4_experts(key, expert_blocks, expert_scales, expert_shapes, bid, proj_type)
+                    self._flush_nvfp4_experts(key, expert_blocks, expert_scales, expert_input_scales, expert_shapes, bid, proj_type)
             else:
-                new_name = self.map_tensor_name(name)
-                self._repack_nvfp4(new_name, weight, scale, scale2)
+                self._repack_nvfp4(name, weight, scale, scale2, input_scale)
 
         # Flush any remaining experts (fallback if n_experts was unknown)
         for (bid, proj_type) in list(expert_blocks.keys()):
-            self._flush_nvfp4_experts((bid, proj_type), expert_blocks, expert_scales, expert_shapes, bid, proj_type)
+            self._flush_nvfp4_experts((bid, proj_type), expert_blocks, expert_scales, expert_input_scales, expert_shapes, bid, proj_type)
 
         # Remove consumed tensors so get_tensors/modify_tensors won't see them
         for name in consumed:
             self.model_tensors.pop(name, None)
 
-        # Remove unused auxiliary tensors (input_scale, k_scale, v_scale)
+        # Remove any remaining unused auxiliary tensors
         for name in list(self.model_tensors.keys()):
-            if name.endswith((".input_scale", ".k_scale", ".v_scale")):
+            if name.endswith((".k_scale", ".v_scale")):
                 del self.model_tensors[name]
 
-    def _flush_nvfp4_experts(self, key, expert_blocks, expert_scales, expert_shapes, bid, proj_type):
+    def _flush_nvfp4_experts(self, key, expert_blocks, expert_scales, expert_input_scales, expert_shapes, bid, proj_type):
         experts = expert_blocks.pop(key)
         scales = expert_scales.pop(key)
+        input_scales = expert_input_scales.pop(key)
         shape = expert_shapes.pop(key)
 
         experts.sort(key=lambda x: x[0])
@@ -707,11 +727,20 @@ class ModelBase:
             logger.info(f"  + {scale_name} (per-expert NVFP4 scale2, shape [{len(scales)}])")
             self.gguf_writer.add_tensor(scale_name, scale_vals)
 
+        # Emit per-expert input_scale tensor if any expert has non-trivial input_scale
+        input_scales.sort(key=lambda x: x[0])
+        input_scale_vals = np.array([s[1] for s in input_scales], dtype=np.float32)
+        if not np.allclose(input_scale_vals, 1.0, atol=1e-6):
+            input_scale_name = new_name.replace(".weight", ".input_scale")
+            logger.info(f"  + {input_scale_name} (per-expert NVFP4 input_scale, shape [{len(input_scales)}])")
+            self.gguf_writer.add_tensor(input_scale_name, input_scale_vals)
+
         del experts, merged
 
     def prepare_tensors(self):
         # detect NVFP4 quantization (ModelOpt format)
         quant_algo = (self.hparams.get("quantization_config") or {}).get("quant_algo")
+        quant_method = (self.hparams.get("quantization_config") or {}).get("quant_method")
         quant_layers = (self.hparams.get("quantization_config") or {}).get("quantized_layers") or {}
         quant_config_file = self.dir_model / "hf_quant_config.json"
 
@@ -728,6 +757,7 @@ class ModelBase:
                 quant_algo = "NVFP4"
 
         self._is_nvfp4 = quant_algo == "NVFP4"
+        self._is_mxfp4 = quant_method == "mxfp4"
 
         # NVFP4 weights are repacked and written directly to gguf_writer.
         # This must run before dequant_model so NVFP4 tensors are removed
@@ -876,6 +906,12 @@ class ModelBase:
         if self.metadata.name is None:
             self.metadata.name = self.dir_model.name
 
+        if self.ftype in (gguf.LlamaFileType.ALL_F32, gguf.LlamaFileType.MOSTLY_F16, gguf.LlamaFileType.MOSTLY_BF16):
+            if self._is_nvfp4:
+                self.ftype = gguf.LlamaFileType.MOSTLY_NVFP4
+            elif self._is_mxfp4:
+                self.ftype = gguf.LlamaFileType.MOSTLY_MXFP4_MOE
+
         # Generate parameter weight class (useful for leader boards) if not yet determined
         if self.metadata.size_label is None and total_params > 0:
             self.metadata.size_label = gguf.size_label(total_params, shared_params, expert_params, expert_count)
@@ -938,6 +974,9 @@ class ModelBase:
         if "thinker_config" in config:
             # rename for Qwen2.5-Omni
             config["text_config"] = config["thinker_config"]["text_config"]
+        if "language_config" in config:
+            # rename for DeepSeekOCR
+            config["text_config"] = config["language_config"]
         if "lfm" in config:
             # rename for LFM2-Audio
             config["text_config"] = config["lfm"]
@@ -1062,6 +1101,10 @@ class TextModel(ModelBase):
             self.gguf_writer.add_head_count_kv(n_head_kv)
             logger.info(f"gguf: key-value head count = {n_head_kv}")
 
+        if self.hparams.get("is_causal") is False:
+            self.gguf_writer.add_causal_attention(False)
+            logger.info("gguf: causal attention = False")
+
         # TODO: Handle "sliding_attention" similarly when models start implementing it
         rope_params = self.rope_parameters.get("full_attention", self.rope_parameters)
         if (rope_type := rope_params.get("rope_type")) is not None:
@@ -1121,7 +1164,7 @@ class TextModel(ModelBase):
         if (n_experts := self.find_hparam(["num_local_experts", "num_experts"], optional=True)) is not None:
             self.gguf_writer.add_expert_count(n_experts)
             logger.info(f"gguf: expert count = {n_experts}")
-        if (n_experts_used := self.find_hparam(["num_experts_per_tok", "num_experts_per_token"], optional=True)) is not None:
+        if (n_experts_used := self.find_hparam(["num_experts_per_tok", "num_experts_per_token", "top_k_experts"], optional=True)) is not None:
             self.gguf_writer.add_expert_used_count(n_experts_used)
             logger.info(f"gguf: experts used count = {n_experts_used}")
         if (n_expert_groups := self.hparams.get("n_group")) is not None:
@@ -1186,15 +1229,15 @@ class TextModel(ModelBase):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model)
-        vocab_size = self.hparams.get("vocab_size", len(tokenizer.vocab))
-        assert max(tokenizer.vocab.values()) < vocab_size
+        vocab_size = self.hparams.get("vocab_size", len(tokenizer.vocab))  # ty: ignore[unresolved-attribute]
+        assert max(tokenizer.vocab.values()) < vocab_size  # ty: ignore[unresolved-attribute]
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
-        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}  # ty: ignore[unresolved-attribute]
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
-        added_tokens_decoder = tokenizer.added_tokens_decoder
+        added_tokens_decoder = tokenizer.added_tokens_decoder  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -1207,7 +1250,7 @@ class TextModel(ModelBase):
                     # To avoid unexpected issues - we make sure to normalize non-normalized tokens
                     if not added_tokens_decoder[i].normalized:
                         previous_token = token
-                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))
+                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))  # ty: ignore[unresolved-attribute, invalid-assignment]
                         if previous_token != token:
                             logger.info(f"{repr(previous_token)} is encoded and decoded back to {repr(token)} using AutoTokenizer")
 
@@ -1295,6 +1338,9 @@ class TextModel(ModelBase):
         if chkhsh == "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df":
             # ref: https://huggingface.co/aari1995/German_Semantic_V3
             res = "jina-v2-de"
+        if chkhsh == "0fe1cf6eda062318a1af7270f3331a85c539a01778ff948e24388e949c5282f4":
+            # ref: https://huggingface.co/evilfreelancer/ruGPT3XL
+            res = "gpt-2"
         if chkhsh == "0ef9807a4087ebef797fc749390439009c3b9eda9ad1a097abbe738f486c01e5":
             # ref: https://huggingface.co/meta-llama/Meta-Llama-3-8B
             res = "llama-bpe"
@@ -1490,6 +1536,9 @@ class TextModel(ModelBase):
         if chkhsh == "e4d54df1ebc1f2b91acd986c5b51aa50837d5faf7c7398e73c1f9e9ee5d19869":
             # ref: https://huggingface.co/kakaocorp/kanana-2-30b-a3b-instruct-2601
             res = "kanana2"
+        if chkhsh == "862f827721df956049dff5ca81a57f29e575280bc622e290d3bf4e35eca29015":
+            # ref: https://huggingface.co/codefuse-ai/F2LLM-v2-4B
+            res = "f2llmv2"
 
         if res is None:
             logger.warning("\n")
@@ -1534,13 +1583,13 @@ class TextModel(ModelBase):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
         vocab_size = hparams["vocab_size"]
-        assert max(tokenizer.get_vocab().values()) < vocab_size
+        assert max(tokenizer.get_vocab().values()) < vocab_size  # ty: ignore[unresolved-attribute]
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         merges = []
         vocab = {}
-        mergeable_ranks = tokenizer.mergeable_ranks
+        mergeable_ranks = tokenizer.mergeable_ranks  # ty: ignore[unresolved-attribute]
         for token, rank in mergeable_ranks.items():
             vocab[QwenModel.token_bytes_to_string(token)] = rank
             if len(token) == 1:
@@ -1550,7 +1599,7 @@ class TextModel(ModelBase):
             merges.append(' '.join(map(QwenModel.token_bytes_to_string, merged)))
 
         # for this kind of tokenizer, added_vocab is not a subset of vocab, so they need to be combined
-        added_vocab = tokenizer.special_tokens
+        added_vocab = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
         reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **added_vocab}.items()}
 
         for i in range(vocab_size):
@@ -1573,10 +1622,10 @@ class TextModel(ModelBase):
         special_vocab.merges = merges
         # only add special tokens when they were not already loaded from config.json
         if len(special_vocab.special_token_ids) == 0:
-            special_vocab._set_special_token("bos", tokenizer.special_tokens["<|endoftext|>"])
-            special_vocab._set_special_token("eos", tokenizer.special_tokens["<|endoftext|>"])
+            special_vocab._set_special_token("bos", tokenizer.special_tokens["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+            special_vocab._set_special_token("eos", tokenizer.special_tokens["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         # this one is usually not in config.json anyway
-        special_vocab._set_special_token("unk", tokenizer.special_tokens["<|endoftext|>"])
+        special_vocab._set_special_token("unk", tokenizer.special_tokens["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_sentencepiece(self, add_to_gguf=True):
@@ -1801,20 +1850,28 @@ class TextModel(ModelBase):
             with open(module_path, encoding="utf-8") as f:
                 modules = json.load(f)
             for mod in modules:
-                if mod["type"] == "sentence_transformers.models.Pooling":
+                if mod["type"].endswith("Pooling"):
                     pooling_path = mod["path"]
                     break
 
+        mode_mapping = {
+            "mean": gguf.PoolingType.MEAN,
+            "cls": gguf.PoolingType.CLS,
+            "lasttoken": gguf.PoolingType.LAST,
+        }
+
         # get pooling type
         if pooling_path is not None:
             with open(self.dir_model / pooling_path / "config.json", encoding="utf-8") as f:
                 pooling = json.load(f)
-            if pooling["pooling_mode_mean_tokens"]:
+            if pooling.get("pooling_mode_mean_tokens"):
                 pooling_type = gguf.PoolingType.MEAN
-            elif pooling["pooling_mode_cls_token"]:
+            elif pooling.get("pooling_mode_cls_token"):
                 pooling_type = gguf.PoolingType.CLS
-            elif pooling["pooling_mode_lasttoken"]:
+            elif pooling.get("pooling_mode_lasttoken"):
                 pooling_type = gguf.PoolingType.LAST
+            elif (pooling_mode := pooling.get("pooling_mode")) in mode_mapping:
+                pooling_type = mode_mapping[pooling_mode]
             else:
                 raise NotImplementedError("Only MEAN, CLS, and LAST pooling types supported")
             self.gguf_writer.add_pooling_type(pooling_type)
@@ -1828,10 +1885,10 @@ class TextModel(ModelBase):
         self.gguf_writer.add_tokenizer_pre(tokpre)
         self.gguf_writer.add_token_list(tokens)
         self.gguf_writer.add_token_types(toktypes)
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_glm(self):
@@ -1845,10 +1902,10 @@ class TextModel(ModelBase):
         self.gguf_writer.add_token_types(toktypes)
         # Special tokens
         # Note: Using <|endoftext|> (151329) for eot causes endless generation
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # 151331
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # 151336
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"]) # 151329
-        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # 151338
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # ty: ignore[unresolved-attribute]  # 151331
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]  # 151336
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]  # 151329
+        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # ty: ignore[unresolved-attribute]  # 151338
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_interns1(self):
@@ -1857,16 +1914,16 @@ class TextModel(ModelBase):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
-        vocab = getattr(tokenizer, 'vocab', tokenizer.get_vocab())
+        vocab = getattr(tokenizer, 'vocab', tokenizer.get_vocab())  # ty: ignore[unresolved-attribute]
         vocab_size = self.hparams.get("vocab_size", len(vocab))
         assert max(vocab.values()) < vocab_size
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
-        added_tokens_decoder = tokenizer.added_tokens_decoder
+        added_tokens_decoder = tokenizer.added_tokens_decoder  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -1879,7 +1936,7 @@ class TextModel(ModelBase):
                     # To avoid unexpected issues - we make sure to normalize non-normalized tokens
                     if not added_tokens_decoder[i].normalized:
                         previous_token = token
-                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))
+                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))  # ty: ignore[unresolved-attribute, invalid-assignment]
                         if previous_token != token:
                             logger.info(f"{repr(previous_token)} is encoded and decoded back to {repr(token)} using AutoTokenizer")
 
@@ -2058,7 +2115,7 @@ class MmprojModel(ModelBase):
     preprocessor_config: dict[str, Any]
     global_config: dict[str, Any]
 
-    n_block_keys = ["n_layers", "num_hidden_layers", "n_layer", "num_layers", "depth", "encoder_layers", "vt_num_hidden_layers"]
+    n_block_keys = ["n_layers", "num_hidden_layers", "n_layer", "num_layers", "depth", "layers", "encoder_layers", "vt_num_hidden_layers"]
 
     has_vision_encoder: bool = True # by default
     has_audio_encoder: bool = False
@@ -2170,10 +2227,10 @@ class MmprojModel(ModelBase):
             self.image_size = self.find_vparam(["image_size"])
             self.gguf_writer.add_vision_image_size(self.image_size)
             self.gguf_writer.add_vision_patch_size(self.find_vparam(["patch_size"]))
-            self.gguf_writer.add_vision_embedding_length(self.find_vparam(["hidden_size", "vt_hidden_size"]))
+            self.gguf_writer.add_vision_embedding_length(self.find_vparam(["hidden_size", "width", "vt_hidden_size"]))
             self.gguf_writer.add_vision_feed_forward_length(self.find_vparam(["intermediate_size", "vt_intermediate_size"]))
             self.gguf_writer.add_vision_block_count(self.find_vparam(self.n_block_keys))
-            self.gguf_writer.add_vision_head_count(self.find_vparam(["num_attention_heads", "num_heads", "vt_num_attention_heads"]))
+            self.gguf_writer.add_vision_head_count(self.find_vparam(["num_attention_heads", "num_heads", "heads", "vt_num_attention_heads"]))
 
             # preprocessor config
             image_mean = _MISTRAL_COMMON_DATASET_MEAN if self.is_mistral_format else self.preprocessor_config["image_mean"]
@@ -2467,15 +2524,15 @@ class XverseModel(TextModel):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model)
-        vocab_size = hparams.get("vocab_size", len(tokenizer.vocab))
+        vocab_size = hparams.get("vocab_size", len(tokenizer.vocab))  # ty: ignore[unresolved-attribute]
         # Since we are checking the maximum index, we need to ensure it's strictly less than vocab_size,
         # because vocab_size is the count of items, and indexes start at 0.
-        max_vocab_index = max(tokenizer.get_vocab().values())
+        max_vocab_index = max(tokenizer.get_vocab().values())  # ty: ignore[unresolved-attribute]
         if max_vocab_index >= vocab_size:
             raise ValueError("Vocabulary size exceeds expected maximum size.")
 
-        reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}  # ty: ignore[unresolved-attribute]
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
         for token_id in range(vocab_size):
             token_text = reverse_vocab[token_id].encode('utf-8')
@@ -2486,7 +2543,7 @@ class XverseModel(TextModel):
             elif re.fullmatch(br"<0x[0-9A-Fa-f]{2}>", token_text):
                 toktype = gguf.TokenType.BYTE  # special
             elif reverse_vocab[token_id] in added_vocab:
-                if tokenizer.added_tokens_decoder[token_id].special:
+                if tokenizer.added_tokens_decoder[token_id].special:  # ty: ignore[unresolved-attribute]
                     toktype = gguf.TokenType.CONTROL
                 else:
                     toktype = gguf.TokenType.USER_DEFINED
@@ -3703,7 +3760,7 @@ class QwenModel(TextModel):
 
     @staticmethod
     def token_bytes_to_string(b):
-        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
+        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode  # ty: ignore[unresolved-import]
         byte_encoder = bytes_to_unicode()
         return ''.join([byte_encoder[ord(char)] for char in b.decode('latin-1')])
 
@@ -3728,7 +3785,14 @@ class QwenModel(TextModel):
         self._set_vocab_qwen()
 
 
-@ModelBase.register("Qwen2Model", "Qwen2ForCausalLM", "Qwen2AudioForConditionalGeneration", "KORMoForCausalLM", "AudioFlamingo3ForConditionalGeneration")
+@ModelBase.register(
+    "Qwen2Model",
+    "Qwen2ForCausalLM",
+    "Qwen2AudioForConditionalGeneration",
+    "KORMoForCausalLM",
+    "AudioFlamingo3ForConditionalGeneration",
+    "DotsOCRForCausalLM",
+)
 class Qwen2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN2
 
@@ -3749,7 +3813,8 @@ class Qwen2Model(TextModel):
             name = name.replace("language_model.", "") # for InternVL
         if name.startswith("mlp") or name.startswith("multi_modal_projector") \
                 or name.startswith("vision_model") or name.startswith("audio_tower") \
-                or name.startswith("model.vision_tower") or name.startswith("model.multi_modal_projector"):
+                or name.startswith("model.vision_tower") or name.startswith("model.multi_modal_projector") \
+                or name.startswith("vision_tower."):
             # skip vision and audio tensors
             return
         yield from super().modify_tensors(data_torch, name, bid)
@@ -3766,14 +3831,14 @@ class DreamModel(TextModel):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
 
-        vocab_dict = tokenizer.get_vocab()
+        vocab_dict = tokenizer.get_vocab()  # ty: ignore[unresolved-attribute]
         vocab_size = self.hparams.get("vocab_size", len(vocab_dict))
         assert max(vocab_dict.values()) < vocab_size
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in vocab_dict.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -3831,14 +3896,14 @@ class LLaDAModel(TextModel):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
 
-        vocab_dict = tokenizer.get_vocab()
+        vocab_dict = tokenizer.get_vocab()  # ty: ignore[unresolved-attribute]
         vocab_size = self.hparams.get("vocab_size", len(vocab_dict))
         assert max(vocab_dict.values()) < vocab_size
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in vocab_dict.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -4201,9 +4266,7 @@ class Qwen2VLVisionModel(MmprojModel):
                 yield from super().modify_tensors(data_torch, name, bid)
 
 
-@ModelBase.register("Qwen2_5OmniModel")
-class Qwen25OmniModel(Qwen2VLVisionModel):
-    has_vision_encoder = True
+class Qwen25AudioModel(MmprojModel):
     has_audio_encoder = True
 
     def __init__(self, *args, **kwargs):
@@ -4219,12 +4282,6 @@ class Qwen25OmniModel(Qwen2VLVisionModel):
         self.gguf_writer.add_audio_num_mel_bins(self.hparams_audio["num_mel_bins"])
         self.gguf_writer.add_audio_attention_layernorm_eps(self.hparams_audio.get("layer_norm_eps", 1e-5))
 
-    def get_vision_config(self) -> dict[str, Any] | None:
-        return self.global_config["thinker_config"].get("vision_config")
-
-    def get_audio_config(self) -> dict[str, Any] | None:
-        return self.global_config["thinker_config"].get("audio_config")
-
     def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
         # SinusoidsPositionEmbedding
         assert self.hparams_audio is not None
@@ -4255,11 +4312,46 @@ class Qwen25OmniModel(Qwen2VLVisionModel):
                 # this tensor is left unused in transformers code
                 # https://github.com/huggingface/transformers/blob/6e3063422c4b1c014aa60c32b9254fd2902f0f28/src/transformers/models/qwen2_5_omni/modular_qwen2_5_omni.py#L1809
                 return
-        yield from super().modify_tensors(data_torch, name, bid)
+            yield from MmprojModel.modify_tensors(self, data_torch, name, bid)
+
+        return  # skip other tensors
+
+
+@ModelBase.register("Qwen2_5OmniModel")
+class Qwen25OmniModel(Qwen2VLVisionModel, Qwen25AudioModel):
+    has_audio_encoder = True
+    has_vision_encoder = True
+
+    def get_vision_config(self) -> dict[str, Any] | None:
+        return self.global_config["thinker_config"].get("vision_config")
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        return self.global_config["thinker_config"].get("audio_config")
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN25O)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "visual." in name:
+            yield from Qwen2VLVisionModel.modify_tensors(self, data_torch, name, bid)
+        elif "audio_tower." in name:
+            yield from Qwen25AudioModel.modify_tensors(self, data_torch, name, bid)
+        return  # skip other tensors
 
 
 @ModelBase.register("InternVisionModel")
 class InternVisionModel(MmprojModel):
+
+    min_dynamic_tiles: int = 0
+    max_dynamic_tiles: int = 0
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+        self.min_dynamic_tiles = self.global_config.get("min_dynamic_patch", 0)
+        self.max_dynamic_tiles = self.global_config.get("max_dynamic_patch", 0)
+
     def set_gguf_parameters(self):
         assert self.hparams_vision is not None
         if isinstance(self.hparams_vision['image_size'], list):
@@ -4282,6 +4374,11 @@ class InternVisionModel(MmprojModel):
         downsample_ratio = self.global_config.get("downsample_ratio")
         assert downsample_ratio is not None
         self.gguf_writer.add_vision_projector_scale_factor(int(1.0 / downsample_ratio))
+        # older models may not have min/max_dynamic_patch in config
+        if self.min_dynamic_tiles > 0:
+            self.gguf_writer.add_vision_preproc_min_tiles(self.min_dynamic_tiles)
+        if self.max_dynamic_tiles > 0:
+            self.gguf_writer.add_vision_preproc_max_tiles(self.max_dynamic_tiles)
 
     def tensor_force_quant(self, name, new_name, bid, n_dims):
         if ".position_embd." in new_name:
@@ -4544,7 +4641,7 @@ class Qwen2MoeModel(TextModel):
                 raise ValueError(f"Unprocessed experts: {experts}")
 
 
-@ModelBase.register("Qwen3ForCausalLM")
+@ModelBase.register("Qwen3ForCausalLM", "Qwen3Model")
 class Qwen3Model(Qwen2Model):
     model_arch = gguf.MODEL_ARCH.QWEN3
 
@@ -4601,9 +4698,9 @@ class Qwen3Model(Qwen2Model):
 
         self.is_rerank = True
         self.is_tied_embeddings = self.hparams.get("tie_word_embeddings", False)
-        self.token_false_id = tokenizer.convert_tokens_to_ids("no")
-        self.token_true_id = tokenizer.convert_tokens_to_ids("yes")
-        self.sep_token_id = tokenizer.convert_tokens_to_ids("|")
+        self.token_false_id = tokenizer.convert_tokens_to_ids("no")  # ty: ignore[unresolved-attribute, invalid-assignment]
+        self.token_true_id = tokenizer.convert_tokens_to_ids("yes")  # ty: ignore[unresolved-attribute, invalid-assignment]
+        self.sep_token_id = tokenizer.convert_tokens_to_ids("|")  # ty: ignore[unresolved-attribute]
 
         assert self.token_false_id is not None and self.token_true_id is not None
 
@@ -4744,7 +4841,10 @@ class RND1Model(Qwen2MoeModel):
 class Qwen3VLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        assert self.hparams_vision is not None
+        if self.hparams_vision is None:
+            logger.info("No vision config found, skipping vision tensor processing")
+            return
+
         # Compute image_size if not present
         if "image_size" not in self.hparams_vision:
             # For Qwen3VL/Qwen3VLMoe, compute from num_position_embeddings
@@ -4765,7 +4865,9 @@ class Qwen3VLVisionModel(MmprojModel):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN3VL)
+        # in case mixed modalities, the arch will be handled by subclass
+        if not self.has_audio_encoder:
+            self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN3VL)
         self.gguf_writer.add_vision_use_gelu(True)
 
         if self.hparams_vision is not None:
@@ -4853,11 +4955,64 @@ class Qwen3VLVisionModel(MmprojModel):
             return
 
         if name.startswith("visual."):
-            yield from super().modify_tensors(data_torch, name, bid)
-            return
+            yield from MmprojModel.modify_tensors(self, data_torch, name, bid)
+        return  # skip other tensors
 
-        # Fall back to parent class for other tensors
-        yield from super().modify_tensors(data_torch, name, bid)
+
+@ModelBase.register("Qwen3OmniMoeForConditionalGeneration")
+class Qwen3OmniMmprojModel(Qwen3VLVisionModel, Qwen25AudioModel):
+    has_audio_encoder = True
+    has_vision_encoder = True
+
+    def get_vision_config(self) -> dict[str, Any] | None:
+        if self.has_vision_encoder:
+            return self.global_config["thinker_config"].get("vision_config")
+        else:
+            return None
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        if self.has_audio_encoder:
+            return self.global_config["thinker_config"].get("audio_config")
+        else:
+            return None
+
+    def set_gguf_parameters(self):
+        if self.has_vision_encoder:
+            Qwen3VLVisionModel.set_gguf_parameters(self)
+            self.gguf_writer.add_clip_vision_projector_type(gguf.VisionProjectorType.QWEN3VL)
+        if self.has_audio_encoder:
+            Qwen25AudioModel.set_gguf_parameters(self)
+            self.gguf_writer.add_clip_audio_projector_type(gguf.VisionProjectorType.QWEN3A)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "visual." in name:
+            if not self.has_vision_encoder:
+                raise ValueError(f"Model does not have vision encoder, but found tensor {name}")
+            # need to transform vision tensor naming, so that modify_tensors() logic can be used correctly
+            name = name.replace("thinker.visual.", "model.visual.")
+            if ".merger_list." in name:
+                name = name.replace(".merger_list.", ".deepstack_merger_list.")
+                name = name.replace(".ln_q", ".norm")
+                name = name.replace(".mlp.0", ".linear_fc1")
+                name = name.replace(".mlp.2", ".linear_fc2")
+            elif ".merger." in name:
+                name = name.replace(".ln_q", ".norm")
+                name = name.replace(".mlp.0", ".linear_fc1")
+                name = name.replace(".mlp.2", ".linear_fc2")
+            yield from Qwen3VLVisionModel.modify_tensors(self, data_torch, name, bid)
+        elif "audio_tower." in name:
+            if not self.has_audio_encoder:
+                raise ValueError(f"Model does not have audio encoder, but found tensor {name}")
+            if "conv2d" in name and name.endswith(".bias"):
+                # transform conv2d bias [n_embd] --> [1, 1, n_embd]
+                data_torch = data_torch.unsqueeze(-1).unsqueeze(-1)
+            yield from Qwen25AudioModel.modify_tensors(self, data_torch, name, bid)
+
+
+@ModelBase.register("Qwen3ASRForConditionalGeneration")
+class Qwen3ASRMmprojModel(Qwen3OmniMmprojModel):
+    has_audio_encoder = True
+    has_vision_encoder = False
 
 
 @ModelBase.register("Glm4vForConditionalGeneration", "Glm4vMoeForConditionalGeneration", "GlmOcrForConditionalGeneration")
@@ -4885,15 +5040,85 @@ class Glm4VVisionModel(Qwen3VLVisionModel):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("StepVLForConditionalGeneration")
+class Step3VLVisionModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+
+        if not self.hparams_vision.get("intermediate_size"):
+            hidden_size = self.hparams_vision.get("hidden_size") or self.hparams_vision.get("width") or 0
+            assert hidden_size > 0
+            mlp_ratio = float(self.hparams_vision.get("mlp_ratio", 8960 / 1536))
+            self.hparams_vision["intermediate_size"] = int(round(hidden_size * mlp_ratio))
+
+        self.preprocessor_config.setdefault("image_mean", list(_MISTRAL_COMMON_DATASET_MEAN))
+        self.preprocessor_config.setdefault("image_std", list(_MISTRAL_COMMON_DATASET_STD))
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        assert self.hparams_vision is not None
+
+        projector_stride = int(self.global_config.get("understand_projector_stride", -1))
+        hidden_size = int(self.hparams_vision.get("hidden_size", self.hparams_vision.get("width", -1)))
+        num_layers = int(self.hparams_vision.get("num_hidden_layers", self.hparams_vision.get("layers", -1)))
+        assert (projector_stride, int(self.hparams_vision.get("image_size", -1)), hidden_size, num_layers) == (2, 728, 1536, 47), (
+            "current Step3-VL conversion path is only validated for Step3-VL-10B"
+        )
+
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.STEP3VL)
+        self.gguf_writer.add_vision_attention_layernorm_eps(float(self.hparams_vision.get("layer_norm_eps", 1e-5)))
+        self.gguf_writer.add_vision_projector_scale_factor(projector_stride ** 2)
+        # 3024 max resize comes from step3-vl-10b processing_step3.py.
+        self.gguf_writer.add_vision_preproc_image_size(3024)
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        if ".position_embd." in new_name:
+            return gguf.GGMLQuantizationType.F32
+        if ("mm.0." in new_name or "mm.1." in new_name) and new_name.endswith(".weight"):
+            return gguf.GGMLQuantizationType.F16 if self.ftype == gguf.LlamaFileType.MOSTLY_F16 else gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("model.") or name.startswith("lm_head."):
+            return
+
+        if name.startswith("vision_model.vit_downsampler"):
+            match = re.match(r"vision_model\.vit_downsampler(\d+)\.(weight|bias)", name)
+            if match is None:
+                raise ValueError(f"Unexpected Step3-VL projector tensor {name!r}")
+
+            proj_id = int(match.group(1)) - 1
+            suffix = f".{match.group(2)}"
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ, proj_id, suffix=suffix), data_torch)
+            return
+
+        if name == "vit_large_projector.weight":
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ_FC), data_torch)
+            return
+
+        if name.startswith("vision_model."):
+            if name == "vision_model.positional_embedding":
+                name += ".weight"
+            elif name.endswith(".gamma") and ".ls_" in name:
+                name = name.removesuffix(".gamma") + ".weight"
+
+            name = name.replace("attn.in_proj_weight", "attn.in_proj.weight")
+            name = name.replace("attn.in_proj_bias", "attn.in_proj.bias")
+
+            yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("Qwen3VLForConditionalGeneration")
 class Qwen3VLTextModel(Qwen3Model):
     model_arch = gguf.MODEL_ARCH.QWEN3VL
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-
-        # Handle MRoPE (Multi-axis Rotary Position Embedding) for Qwen3-VL
-        vision_config = self.hparams.get("vision_config", {})
+        if "thinker_config" in self.hparams:
+            vision_config = self.hparams["thinker_config"].get("vision_config", {})
+        else:
+            vision_config = self.hparams.get("vision_config", {})
         deepstack_layer_num = len(vision_config.get("deepstack_visual_indexes", []))
         self.gguf_writer.add_num_deepstack_layers(deepstack_layer_num)
 
@@ -4905,6 +5130,16 @@ class Qwen3VLTextModel(Qwen3Model):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("StepVLForConditionalGeneration")
+class Step3VLTextModel(Qwen3Model):
+    model_arch = gguf.MODEL_ARCH.QWEN3
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("vision_model.") or name.startswith("model.vision_model.") or name.startswith("vit_large_projector."):
+            return
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("Qwen3VLMoeForConditionalGeneration")
 class Qwen3VLMoeTextModel(Qwen3MoeModel):
     model_arch = gguf.MODEL_ARCH.QWEN3VLMOE
@@ -4952,6 +5187,70 @@ class Qwen3VLMoeTextModel(Qwen3MoeModel):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("Qwen3OmniMoeForConditionalGeneration")
+class Qwen3OmniMoeTextModel(Qwen3VLMoeTextModel):
+    model_arch = gguf.MODEL_ARCH.QWEN3VLMOE
+
+    def set_vocab(self):
+        super().set_vocab()
+        # correct BOS/EOS tokens
+        with open(self.dir_model / "tokenizer_config.json", "r", encoding="utf-8") as f:
+            tokenizer_config = json.load(f)
+            added_tokens = tokenizer_config.get("added_tokens_decoder", {})
+            for token_id, data in added_tokens.items():
+                if data.get("content") == "<|im_end|>":
+                    self.gguf_writer.add_bos_token_id(int(token_id))
+                    self.gguf_writer.add_eos_token_id(int(token_id))
+                    break
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_num_deepstack_layers(0)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # Skip vision and audio tensors - they go in the mmproj file
+        if "visual." in name or "audio_tower." in name \
+                or "talker." in name or "code2wav." in name:
+            return
+
+        name = name.replace("thinker.", "")
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
+@ModelBase.register("Qwen3ASRForConditionalGeneration")
+class Qwen3ASRTextModel(Qwen3VLTextModel):
+    model_arch = gguf.MODEL_ARCH.QWEN3VL
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_num_deepstack_layers(0)
+
+    def set_vocab(self):
+        super().set_vocab()
+        # fix chat template, use correct chatml format
+        self.gguf_writer.add_chat_template("{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}")
+        # correct BOS/EOS tokens
+        with open(self.dir_model / "tokenizer_config.json", "r", encoding="utf-8") as f:
+            tokenizer_config = json.load(f)
+            added_tokens = tokenizer_config.get("added_tokens_decoder", {})
+            for token_id, data in added_tokens.items():
+                if data.get("content") == "<|im_end|>":
+                    self.gguf_writer.add_bos_token_id(int(token_id))
+                    self.gguf_writer.add_eos_token_id(int(token_id))
+                    break
+
+    def modify_tensors(self, data_torch, name, bid):
+        # qwen3-omni
+        name = name.replace("thinker.", "")
+
+        # Skip vision and audio tensors - they go in the mmproj file
+        if "visual." in name or "audio_tower." in name \
+                or "talker." in name or "code2wav." in name:
+            return
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 class _LinearAttentionVReorderBase(Qwen3NextModel):
     model_arch = gguf.MODEL_ARCH.QWEN3NEXT  # overridden by subclasses
     """reorders V heads from grouped to tiled order for ggml broadcast
@@ -4977,6 +5276,97 @@ class _LinearAttentionVReorderBase(Qwen3NextModel):
         perm[dim], perm[dim + 1] = perm[dim + 1], perm[dim]
         return tensor.permute(*perm).contiguous().reshape(*shape)
 
+    def _transform_nvfp4_weight(self, name: str, weight: Tensor, scale: Tensor) -> tuple[Tensor, Tensor]:
+        if not name.endswith((
+            ".linear_attn.in_proj_qkv.weight",
+            ".linear_attn.in_proj_z.weight",
+            ".linear_attn.in_proj_a.weight",
+            ".linear_attn.in_proj_b.weight",
+            ".linear_attn.out_proj.weight",
+        )):
+            return weight, scale
+
+        num_k_heads = self.hparams["linear_num_key_heads"]
+        num_v_heads = self.hparams["linear_num_value_heads"]
+        head_k_dim = self.hparams["linear_key_head_dim"]
+        head_v_dim = self.hparams["linear_value_head_dim"]
+        num_v_per_k = num_v_heads // num_k_heads
+
+        def unpack_nibbles(qs: Tensor) -> Tensor:
+            lo = torch.bitwise_and(qs, 0x0F)
+            hi = torch.bitwise_right_shift(qs, 4)
+            return torch.stack((lo, hi), dim=-1).reshape(*qs.shape[:-1], qs.shape[-1] * 2)
+
+        def pack_nibbles(codes: Tensor) -> Tensor:
+            codes = codes.reshape(*codes.shape[:-1], codes.shape[-1] // 2, 2)
+            lo = torch.bitwise_and(codes[..., 0], 0x0F)
+            hi = torch.bitwise_left_shift(torch.bitwise_and(codes[..., 1], 0x0F), 4)
+            return torch.bitwise_or(lo, hi).contiguous()
+
+        def apply_col_perm(qs: Tensor, scales: Tensor, col_perm: Tensor) -> tuple[Tensor, Tensor]:
+            assert qs.ndim >= 2
+            assert scales.ndim >= 2
+
+            k = qs.shape[-1] * 2
+            assert col_perm.numel() == k
+            assert k % 16 == 0
+
+            group_cols = col_perm.reshape(-1, 16)
+            group_starts = group_cols[:, 0]
+            expected = group_starts.unsqueeze(1) + torch.arange(16, dtype=col_perm.dtype)
+            assert torch.equal(group_cols, expected)
+            assert torch.all(group_starts % 16 == 0)
+
+            group_perm = (group_starts // 16).to(dtype=torch.long)
+            expected_groups = torch.arange(scales.shape[-1], dtype=torch.long)
+            assert group_perm.numel() == scales.shape[-1]
+            assert torch.equal(torch.sort(group_perm).values, expected_groups)
+
+            codes = unpack_nibbles(qs)
+            codes = codes.index_select(-1, col_perm.to(device=qs.device, dtype=torch.long))
+            qs = pack_nibbles(codes)
+            scales = scales.index_select(-1, group_perm.to(device=scales.device))
+            return qs, scales
+
+        def reorder_rows(qs: Tensor, scales: Tensor, head_dim: int) -> tuple[Tensor, Tensor]:
+            row_perm = self._reorder_v_heads(
+                torch.arange(num_v_heads * head_dim, dtype=torch.long).unsqueeze(-1),
+                0, num_k_heads, num_v_per_k, head_dim,
+            ).squeeze(-1)
+            return (
+                qs.index_select(0, row_perm.to(device=qs.device)),
+                scales.index_select(0, row_perm.to(device=scales.device)),
+            )
+
+        if name.endswith(".linear_attn.in_proj_qkv.weight"):
+            q_dim = head_k_dim * num_k_heads
+            k_dim = head_k_dim * num_k_heads
+            q = weight[:q_dim]
+            k = weight[q_dim:q_dim + k_dim]
+            v = weight[q_dim + k_dim:]
+            q_scale = scale[:q_dim]
+            k_scale = scale[q_dim:q_dim + k_dim]
+            v_scale = scale[q_dim + k_dim:]
+            v, v_scale = reorder_rows(v, v_scale, head_v_dim)
+            return torch.cat([q, k, v], dim=0), torch.cat([q_scale, k_scale, v_scale], dim=0)
+
+        if name.endswith(".linear_attn.in_proj_z.weight"):
+            weight, scale = reorder_rows(weight, scale, head_v_dim)
+        elif name.endswith((".linear_attn.in_proj_a.weight", ".linear_attn.in_proj_b.weight")):
+            weight, scale = reorder_rows(weight, scale, 1)
+        elif name.endswith(".linear_attn.out_proj.weight"):
+            col_perm = self._reorder_v_heads(
+                torch.arange(num_v_heads * head_v_dim, dtype=torch.long).unsqueeze(0),
+                1, num_k_heads, num_v_per_k, head_v_dim,
+            ).squeeze(0)
+            weight, scale = apply_col_perm(weight, scale, col_perm)
+
+        return weight, scale
+
+    def _repack_nvfp4(self, name: str, weight: Tensor, scale: Tensor, scale2: Tensor, input_scale: Tensor):
+        weight, scale = self._transform_nvfp4_weight(name, weight, scale)
+        super()._repack_nvfp4(name, weight, scale, scale2, input_scale)
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         num_k_heads = self.hparams.get("linear_num_key_heads", 0)
         num_v_heads = self.hparams.get("linear_num_value_heads", 0)
@@ -5066,6 +5456,47 @@ class GPT2Model(TextModel):
         yield from super().modify_tensors(data_torch, new_name, bid)
 
 
+@ModelBase.register("RuGPT3XLForCausalLM")
+class RuGPT3XLModel(TextModel):
+    model_arch = gguf.MODEL_ARCH.GPT2
+
+    _qkv_parts: list[dict[str, Tensor]] | None = None
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # Fuse separate Q, K, V projections into a single QKV tensor
+        if ".self_attn.q_proj." in name or ".self_attn.k_proj." in name or ".self_attn.v_proj." in name:
+            suffix = "weight" if name.endswith(".weight") else "bias"
+            part = "q" if ".q_proj." in name else ("k" if ".k_proj." in name else "v")
+            key = f"{part}.{suffix}"
+
+            assert bid is not None
+            if self._qkv_parts is None:
+                self._qkv_parts = [{} for _ in range(self.block_count)]
+            self._qkv_parts[bid][key] = data_torch
+
+            q_key, k_key, v_key = f"q.{suffix}", f"k.{suffix}", f"v.{suffix}"
+            if all(k in self._qkv_parts[bid] for k in [q_key, k_key, v_key]):
+                q = self._qkv_parts[bid].pop(q_key)
+                k = self._qkv_parts[bid].pop(k_key)
+                v = self._qkv_parts[bid].pop(v_key)
+                data_torch = torch.cat([q, k, v], dim=0)
+                name = self.format_tensor_name(gguf.MODEL_TENSOR.ATTN_QKV, bid, f".{suffix}")
+                logger.debug(f"Fused Q/K/V {suffix} for layer {bid} -> {name}")
+            else:
+                return
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+    def prepare_tensors(self):
+        super().prepare_tensors()
+
+        if self._qkv_parts is not None:
+            # flatten `list[dict[str, Tensor]]` into `list[str]`
+            parts = [f"({i}){k}" for i, d in enumerate(self._qkv_parts) for k in d.keys()]
+            if len(parts) > 0:
+                raise ValueError(f"Unprocessed Q/K/V parts: {parts}")
+
+
 @ModelBase.register("PhiForCausalLM")
 class Phi2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.PHI2
@@ -5663,7 +6094,7 @@ class KimiLinearModel(TextModel):
             # Build merges list using the approach similar to HunYuanMoE
             merges = []
             vocab = {}
-            mergeable_ranks = tokenizer.model._mergeable_ranks
+            mergeable_ranks = tokenizer.model._mergeable_ranks  # ty: ignore[unresolved-attribute]
             for token, rank in mergeable_ranks.items():
                 vocab[QwenModel.token_bytes_to_string(token)] = rank
                 if len(token) == 1:
@@ -5673,7 +6104,7 @@ class KimiLinearModel(TextModel):
                     merges.append(' '.join(map(QwenModel.token_bytes_to_string, merged)))
             # Build token list
             vocab_size = self.hparams["vocab_size"]
-            special_tokens = tokenizer.special_tokens
+            special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
             reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
             tokens: list[str] = []
             toktypes: list[int] = []
@@ -5699,7 +6130,7 @@ class KimiLinearModel(TextModel):
             special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=False)
             special_vocab.add_to_gguf(self.gguf_writer)
             # override eos id in config.json with tiktoken eos id
-            self.gguf_writer.add_eos_token_id(tokenizer.eos_id)
+            self.gguf_writer.add_eos_token_id(tokenizer.eos_id)  # ty: ignore[unresolved-attribute]
         else:
             raise NotImplementedError(f"Deepseek pre-tokenizer {tokpre!r} is not supported yet!")
 
@@ -5878,7 +6309,7 @@ class InternLM2Model(TextModel):
             logger.error(f'Error: Missing {tokenizer_path}')
             sys.exit(1)
 
-        sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue]
+        sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
         sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read())
         add_prefix = sentencepiece_model.normalizer_spec.add_dummy_prefix
 
@@ -6193,13 +6624,13 @@ class BertModel(TextModel):
                 with open(tokenizer_config_path, "r", encoding="utf-8") as fp:
                     tokenizer_config_json = json.load(fp)
 
-            add_prefix = tokenizer.add_prefix_space
-            remove_whitespaces = tokenizer.clean_up_tokenization_spaces
+            add_prefix = tokenizer.add_prefix_space  # ty: ignore[unresolved-attribute]
+            remove_whitespaces = tokenizer.clean_up_tokenization_spaces  # ty: ignore[unresolved-attribute]
             precompiled_charsmap = b64decode(tokenizer_json["normalizer"]["precompiled_charsmap"])
 
-            vocab_size = max(self.hparams.get("vocab_size", 0), tokenizer.vocab_size)
+            vocab_size = max(self.hparams.get("vocab_size", 0), tokenizer.vocab_size)  # ty: ignore[unresolved-attribute]
         else:
-            sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue]
+            sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
             sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read())
             assert sentencepiece_model.trainer_spec.model_type == 1  # UNIGRAM
 
@@ -6214,7 +6645,7 @@ class BertModel(TextModel):
 
         tokens: list[bytes] = [f"[PAD{i}]".encode("utf-8") for i in range(vocab_size)]
         scores: list[float] = [-10000.0] * vocab_size
-        toktypes: list[int] = [SentencePieceTokenTypes.UNUSED] * vocab_size
+        toktypes: list[int] = [SentencePieceTokenTypes.UNUSED] * vocab_size  # ty: ignore[invalid-assignment]
 
         if isinstance(tokenizer, SentencePieceProcessor):
             for token_id in range(tokenizer.vocab_size()):
@@ -6236,20 +6667,20 @@ class BertModel(TextModel):
                 scores[token_id] = score
                 toktypes[token_id] = toktype
         else:
-            added_vocab = tokenizer.get_added_vocab()
+            added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
             unk_token = tokenizer_config_json.get("unk_token")
-            unk_token_id = added_vocab.get(unk_token, tokenizer_json["model"].get("unk_id", 3))
+            unk_token_id = added_vocab.get(unk_token, tokenizer_json["model"].get("unk_id", 3))  # ty: ignore[no-matching-overload]
 
-            for token_id in range(tokenizer.vocab_size):
-                piece = tokenizer._convert_id_to_token(token_id)
-                if (piece := tokenizer._convert_id_to_token(token_id)) is not None:
+            for token_id in range(tokenizer.vocab_size):  # ty: ignore[unresolved-attribute]
+                piece = tokenizer._convert_id_to_token(token_id)  # ty: ignore[unresolved-attribute]
+                if (piece := tokenizer._convert_id_to_token(token_id)) is not None:  # ty: ignore[unresolved-attribute]
                     text = piece.encode("utf-8")
                     score = tokenizer_json["model"]["vocab"][token_id][1]
 
                     toktype = SentencePieceTokenTypes.NORMAL
                     if token_id == unk_token_id:
                         toktype = SentencePieceTokenTypes.UNKNOWN
-                    elif token_id in tokenizer.all_special_ids:
+                    elif token_id in tokenizer.all_special_ids:  # ty: ignore[unresolved-attribute]
                         toktype = SentencePieceTokenTypes.CONTROL
                     elif token_id in added_vocab.values():
                         toktype = SentencePieceTokenTypes.USER_DEFINED
@@ -6682,7 +7113,9 @@ class Gemma2Model(TextModel):
 @ModelBase.register("Gemma3ForCausalLM", "Gemma3ForConditionalGeneration")
 class Gemma3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.GEMMA3
-    norm_shift = 1.0  # Gemma3RMSNorm adds 1.0 to the norm value
+
+    def norm_shift(self, name: str) -> float:
+        return 1.0 if name.endswith("norm.weight") else 0.0  # Gemma3RMSNorm adds 1.0 to the norm value
 
     def set_vocab(self):
         if (self.dir_model / "tokenizer.model").is_file():
@@ -6720,17 +7153,22 @@ class Gemma3Model(TextModel):
 
         # remove OOV (out-of-vocabulary) rows in token_embd
         if "embed_tokens.weight" in name:
+            n_vocab_real = -1
             if (self.dir_model / "tokenizer.model").is_file():
                 tokens = self._create_vocab_sentencepiece()[0]
+                n_vocab_real = len(tokens)
             else:
-                tokens = self.get_vocab_base()[0]
-            data_torch = data_torch[:len(tokens)]
+                with open(self.dir_model / "tokenizer.json", "r", encoding="utf-8") as f:
+                    tokenizer_json = json.load(f)
+                    n_vocab_real = len(tokenizer_json["model"]["vocab"]) + len(tokenizer_json["added_tokens"])
+            data_torch = data_torch[:n_vocab_real]
 
         # ref code in Gemma3RMSNorm
         # output = output * (1.0 + self.weight.float())
         # note: this is not the case on gemma3n
-        if name.endswith("norm.weight"):
-            data_torch = data_torch + self.norm_shift
+        f_shift = self.norm_shift(name)
+        if f_shift != 0.0:
+            data_torch = data_torch + f_shift
 
         yield from super().modify_tensors(data_torch, name, bid)
 
@@ -6750,7 +7188,7 @@ class EmbeddingGemma(Gemma3Model):
                 with open(modules_file, encoding="utf-8") as modules_json_file:
                     mods = json.load(modules_json_file)
                 for mod in mods:
-                    if mod["type"] == "sentence_transformers.models.Dense":
+                    if mod["type"].endswith("Dense"):
                         mod_path = mod["path"]
                         # check if model.safetensors file for Dense layer exists
                         model_tensors_file = self.dir_model / mod_path / "model.safetensors"
@@ -6904,6 +7342,71 @@ class ConformerAudioModel(MmprojModel):
             assert data_torch.shape[2] == 1
             data_torch = data_torch.reshape(data_torch.shape[0], data_torch.shape[1])
 
+        mapped_name = self.map_tensor_name(name, (".weight", ".bias", ".input_max", ".input_min", ".output_max", ".output_min"))
+        yield (mapped_name, data_torch)
+
+
+@ModelBase.register("DeepseekOCRForCausalLM")
+class DeepseekOCRVisionModel(MmprojModel):
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        hparams = self.hparams
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.DEEPSEEKOCR)
+        # default values below are taken from HF tranformers code
+        self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("layer_norm_eps", 1e-6))
+        self.gguf_writer.add_vision_use_gelu(True)
+        # calculate proj_scale_factor (used by tinygemma3 test model)
+        image_seq_length = self.preprocessor_config.get("image_seq_length", 256)
+        n_per_side = int(image_seq_length ** 0.5)
+        image_size = self.hparams["image_size"]
+        patch_size = self.hparams["patch_size"]
+        proj_scale_factor = (image_size // patch_size) // n_per_side
+        if proj_scale_factor > 0 and proj_scale_factor != 4:
+            # we only need to write this if it's not the default value
+            # in this case, we are converting a test model
+            self.gguf_writer.add_vision_projector_scale_factor(proj_scale_factor)
+        # @bluebread: there's no window_size in config but just add it here anyway
+        self.gguf_writer.add_vision_window_size(self.hparams.get("window_size", 14))
+
+        # SAM configuration
+        sam_hparams = hparams['sam']
+        self.gguf_writer.add_vision_sam_layers_count(sam_hparams['layers'])
+        self.gguf_writer.add_vision_sam_embedding_length(sam_hparams['width'])
+        self.gguf_writer.add_vision_sam_head_count(sam_hparams['heads'])
+
+    def get_vision_config(self) -> dict[str, Any]:
+        vision_config: dict[str, Any] | None = self.global_config.get("vision_config")
+
+        if not vision_config:
+            raise ValueError("DeepseekOCR model requires 'vision_config' in the model configuration, but it was not found")
+
+        vision_config['sam'] = vision_config['width']['sam_vit_b']
+        vision_config.update(vision_config['width']['clip-l-14-224'])
+        vision_config['hidden_size'] = vision_config['width']
+        vision_config['num_heads'] = vision_config['heads']
+        vision_config['intermediate_size'] = vision_config['heads'] * 4
+
+        return vision_config
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        if ".embeddings." in name or 'pos_embed' in name:
+            return gguf.GGMLQuantizationType.F32
+        if ".rel_pos_h" in name or '.rel_pos_w' in name:
+            return gguf.GGMLQuantizationType.F32
+        if ".neck." in name or ".net_" in name:
+            return gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # Only process vision-related tensors, skip language model tensors
+        # Vision components: sam_model, vision_model, projector, image_newline, view_seperator
+        # Language model components to skip: lm_head, embed_tokens, layers, norm
+        if name.startswith(("lm_head.", "model.embed_tokens.", "model.layers.", "model.norm.")):
+            return
+
+        if name.endswith("pos_embed") or name.endswith("rel_pos_h") or name.endswith("rel_pos_w"):
+            name += ".weight"
+
         yield from super().modify_tensors(data_torch, name, bid)
 
 
@@ -7029,7 +7532,6 @@ class Gemma3nVisionAudioModel(ConformerAudioModel):
 @ModelBase.register("Gemma3nForCausalLM", "Gemma3nForConditionalGeneration")
 class Gemma3NModel(Gemma3Model):
     model_arch = gguf.MODEL_ARCH.GEMMA3N
-    norm_shift = 0.0 # same value with Gemma3p5RMSNorm scale_shift on python code
 
     _altup_proj: list[Tensor] = []
     _altup_unembd: list[Tensor] = []
@@ -7048,6 +7550,10 @@ class Gemma3NModel(Gemma3Model):
             torch.Tensor(), # to be replaced
         ]
 
+    def norm_shift(self, name: str) -> float:
+        del name
+        return 0.0 # same value with Gemma3p5RMSNorm scale_shift on python code
+
     def set_vocab(self):
         # For Gemma3n multimodal models, we need the FULL vocab_size (262400)
         # which includes special tokens from 262144-262399 for vision/audio.
@@ -7165,6 +7671,209 @@ class Gemma3NModel(Gemma3Model):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("Gemma4ForConditionalGeneration")
+class Gemma4Model(Gemma3Model):
+    model_arch = gguf.MODEL_ARCH.GEMMA4
+
+    def norm_shift(self, name: str) -> float:
+        del name # unused
+        return 0.0
+
+    def set_vocab(self):
+        vocab = gguf.LlamaHfVocab(self.dir_model)
+        tokens = []
+        scores = []
+        toktypes = []
+        visible_tokens = {"<|channel>", "<channel|>", "<|tool_call>", "<tool_call|>", "<|tool_response>", "<tool_response|>", "<|\"|>"}
+
+        for text, score, toktype in vocab.all_tokens():
+            tokens.append(text)
+            scores.append(score)
+            text_str = text.decode()
+            if text_str in visible_tokens:
+                # always render these tokens, so that the chat parser can read them
+                toktypes.append(gguf.TokenType.USER_DEFINED)
+                logger.info(f"Token '{text_str}' is set to USER_DEFINED")
+            else:
+                toktypes.append(toktype)
+
+        assert len(tokens) == vocab.vocab_size
+
+        self.gguf_writer.add_tokenizer_model("gemma4")
+        self.gguf_writer.add_token_list(tokens)
+        self.gguf_writer.add_token_scores(scores)
+        self.gguf_writer.add_token_types(toktypes)
+
+        special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
+        special_vocab.add_to_gguf(self.gguf_writer)
+        self.gguf_writer.add_add_space_prefix(False)
+        self.gguf_writer.add_add_bos_token(True)
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+
+        num_kv_shared_layers = self.hparams["num_kv_shared_layers"]
+        self.gguf_writer.add_shared_kv_layers(num_kv_shared_layers)
+
+        # per-layer embedding is optional
+        n_pl_embd = self.hparams.get("hidden_size_per_layer_input") or 0
+        self.gguf_writer.add_embedding_length_per_layer_input(n_pl_embd)
+
+        swa_layers = [t == "sliding_attention" for t in self.hparams["layer_types"]]
+        self.gguf_writer.add_sliding_window_pattern(swa_layers)
+
+        head_dim_full = self.hparams["global_head_dim"]
+        head_dim_swa = self.hparams["head_dim"]
+        # correct the head dim for global/swa layers
+        self.gguf_writer.add_key_length(head_dim_full)
+        self.gguf_writer.add_value_length(head_dim_full)
+        self.gguf_writer.add_key_length_swa(head_dim_swa)
+        self.gguf_writer.add_value_length_swa(head_dim_swa)
+
+        expert_intermediate_size = self.find_hparam(["expert_intermediate_size", "moe_intermediate_size"])
+        if expert_intermediate_size is not None:
+            self.gguf_writer.add_expert_feed_forward_length(expert_intermediate_size)
+
+        # if use_double_wide_mlp is set, we need to adjust the value for kv shared layers
+        use_double_wide_mlp = self.hparams.get("use_double_wide_mlp", False)
+        first_kv_shared_layer_idx = self.block_count - num_kv_shared_layers
+        if use_double_wide_mlp:
+            n_ff = self.hparams["intermediate_size"]
+            n_ff_arr = [n_ff if il < first_kv_shared_layer_idx else n_ff * 2 for il in range(self.block_count)]
+            self.gguf_writer.add_feed_forward_length(n_ff_arr)
+
+        # handle num_global_key_value_heads
+        num_key_value_heads_full = self.hparams.get("num_global_key_value_heads")
+        num_key_value_heads_swa = self.hparams.get("num_key_value_heads")
+        if num_key_value_heads_full is not None and num_key_value_heads_swa is not None:
+            value_arr = [num_key_value_heads_swa if is_swa else num_key_value_heads_full for is_swa in swa_layers]
+            self.gguf_writer.add_head_count_kv(value_arr)
+
+        # handle n_rot differently for global vs swa layers
+        partial_rotary_factor_swa = self.hparams.get("partial_rotary_factor", 1.0)
+        n_rot_full = int(head_dim_full) # "proportional" is used, see generate_extra_tensors
+        n_rot_swa = int(head_dim_swa * partial_rotary_factor_swa)
+        self.gguf_writer.add_rope_dimension_count(n_rot_full)
+        self.gguf_writer.add_rope_dimension_count_swa(n_rot_swa)
+
+    def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
+        # full layer uses "proportional" rope with partial_rotary_factor=0.25
+        # the expected ordering is cc000000ss000000 (c = cos, s = sin, 0 = unrotated),
+        # but ggml neox only supports ccss000000000000, and we cannot rearrange the head because that will break use_alternative_attention
+        # solution is to set specific freq_factors for the unrotated dims
+
+        # IMPORTANT: this ROPE_FREQS tensor is ONLY used by the full_attention layers
+        rope_params_full = self.hparams["rope_parameters"]["full_attention"]
+        assert rope_params_full["rope_type"] == "proportional"
+        head_dim_full = (self.hparams["global_head_dim"])
+        partial_rotary_factor_full = rope_params_full["partial_rotary_factor"]
+        n_rot_full = int(head_dim_full * partial_rotary_factor_full / 2)
+        n_unrot_full = int(head_dim_full / 2) - n_rot_full
+        values = [1.0] * n_rot_full + [1e30] * n_unrot_full
+        rope_freqs_full = torch.tensor(values, dtype=torch.float32)
+        yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FREQS), rope_freqs_full)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.endswith("per_dim_scale") or name.endswith("layer_scalar"):
+            name = name + ".weight"
+
+        if "language_model." not in name and "rope_freqs" not in name:
+            return # skip non-language model tensors
+
+        name = name.replace("language_model.", "")
+        if name.endswith("router.scale"):
+            name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_GATE_INP, bid, ".scale")
+            yield (name, data_torch)
+            return
+        if ".per_expert_scale" in name:
+            # convert per-expert scale to FFN down scale
+            name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_DOWN_EXP, bid, ".scale")
+            yield (name, data_torch)
+            return
+        if ".experts." in name and not name.endswith(".weight"):
+            name += ".weight"
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
+@ModelBase.register("Gemma4ForConditionalGeneration")
+class Gemma4VisionAudioModel(MmprojModel):
+    has_audio_encoder = True
+    has_vision_encoder = True
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+        self.hparams_vision["image_size"] = 224 # unused, but set to avoid error
+
+        # remap audio hparams
+        if self.hparams_audio:
+            self.hparams_audio["feat_in"] = self.hparams_audio.get("input_feat_size", 128)
+            self.hparams_audio["intermediate_size"] = self.hparams_audio["hidden_size"] * 4
+        else:
+            self.has_audio_encoder = False
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+
+        # vision params
+        self.gguf_writer.add_clip_vision_projector_type(gguf.VisionProjectorType.GEMMA4V)
+        self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams.get("layer_norm_eps", 1e-6))
+
+        # audio params
+        if self.hparams_audio:
+            self.gguf_writer.add_clip_audio_projector_type(gguf.VisionProjectorType.GEMMA4A)
+            self.gguf_writer.add_audio_num_mel_bins(self.hparams_audio["feat_in"])
+            self.gguf_writer.add_audio_attention_layernorm_eps(1e-5)
+
+    def is_audio_tensor(self, name: str) -> bool:
+        return "audio_tower" in name or "embed_audio" in name
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        if self.is_audio_tensor(name):
+            if ".conv" in name or "_conv" in name and ".weight" in name:
+                return gguf.GGMLQuantizationType.F32
+        if "position_embedding_table" in name:
+            return gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        del bid # unused
+
+        if name.startswith("model.language_model."):
+            return # skip
+
+        if len(data_torch.shape) == 0:
+            # convert scalar tensors (input/output_mix/max) to 1D tensors
+            data_torch = data_torch.unsqueeze(0)
+
+        if self.is_audio_tensor(name):
+            assert self.hparams_audio is not None
+            name = name.replace("model.audio_tower.", "conformer.")
+            name = name.replace(".linear.", ".")
+            if name.endswith("per_dim_key_scale") or name.endswith("per_dim_scale"):
+                name = name + ".weight"
+                data_torch = torch.nn.functional.softplus(data_torch)
+            if "lconv1d.depthwise_conv1d" in name and name.endswith(".weight"):
+                assert data_torch.shape[1] == 1
+                data_torch = data_torch.reshape(data_torch.shape[0], data_torch.shape[2])
+            mapped_name = self.map_tensor_name(name, (".weight", ".bias", ".input_max", ".input_min", ".output_max", ".output_min"))
+            yield (mapped_name, data_torch)
+
+        else:
+            name = name.replace("model.vision_tower.encoder.", "vision_model.model.")
+            name = name.replace(".linear.weight", ".weight")
+            if name.endswith("layer_scalar") or name.endswith("position_embedding_table"):
+                name = name + ".weight"
+            if name.endswith("patch_embedder.input_proj.weight"):
+                n_embd, ksize_sq_c = data_torch.shape
+                patch_size = int((ksize_sq_c // 3) ** 0.5)
+                data_torch = data_torch.reshape(n_embd, patch_size, patch_size, 3)
+                data_torch = data_torch.permute(0, 3, 1, 2).contiguous()
+            mapped_name = self.map_tensor_name(name, (".weight", ".bias", ".input_max", ".input_min", ".output_max", ".output_min"))
+            yield (mapped_name, data_torch)
+
+
 @ModelBase.register("Starcoder2ForCausalLM")
 class StarCoder2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.STARCODER2
@@ -8252,6 +8961,19 @@ class DeepseekV2Model(TextModel):
 
     merge_expert = True
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        hparams: dict = ModelBase.load_hparams(self.dir_model, is_mistral_format=False)
+        self.origin_hf_arch = hparams.get('architectures', [None])[0]
+
+        # special handling for Deepseek OCR
+        if self.origin_hf_arch == "DeepseekOCRForCausalLM":
+            self.model_arch = gguf.MODEL_ARCH.DEEPSEEK2OCR
+            self.gguf_writer.arch = gguf.MODEL_ARCH_NAMES[self.model_arch]
+            self.gguf_writer.add_architecture()
+            # default jinja template
+            self.gguf_writer.add_chat_template("{% for m in messages %}{{m['content']}}{% endfor %}")
+
     def set_vocab(self):
         try:
             self._set_vocab_gpt2()
@@ -8267,7 +8989,7 @@ class DeepseekV2Model(TextModel):
             # Build merges list using the approach similar to HunYuanMoE
             merges = []
             vocab = {}
-            mergeable_ranks = tokenizer.model._mergeable_ranks
+            mergeable_ranks = tokenizer.model._mergeable_ranks  # ty: ignore[unresolved-attribute]
             for token, rank in mergeable_ranks.items():
                 vocab[QwenModel.token_bytes_to_string(token)] = rank
                 if len(token) == 1:
@@ -8278,7 +9000,7 @@ class DeepseekV2Model(TextModel):
 
             # Build token list
             vocab_size = self.hparams["vocab_size"]
-            special_tokens = tokenizer.special_tokens
+            special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
             reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
             tokens: list[str] = []
             toktypes: list[int] = []
@@ -8307,9 +9029,15 @@ class DeepseekV2Model(TextModel):
             raise NotImplementedError(f"Deepseek pre-tokenizer {tokpre!r} is not supported yet!")
 
     def set_gguf_parameters(self):
+        is_ocr = (self.model_arch == gguf.MODEL_ARCH.DEEPSEEK2OCR)
 
-        # note: deepseek2 using MLA converts into MQA (ie: GQA with 1 group)
-        self.hparams["num_key_value_heads"] = 1
+        if is_ocr:
+            self.hparams['rope_theta'] = self.hparams.get('rope_theta', 10000.0)
+        else:
+            # note: deepseek2 using MLA converts into MQA (ie: GQA with 1 group)
+            self.hparams["num_key_value_heads"] = 1
+
+        self.hparams['rms_norm_eps'] = self.hparams.get('rms_norm_eps', 1e-6)
 
         super().set_gguf_parameters()
         hparams = self.hparams
@@ -8323,16 +9051,18 @@ class DeepseekV2Model(TextModel):
             # Default: if no MoE, all layers are dense; if MoE, none are dense
             first_k_dense_replace = hparams["num_hidden_layers"] if not has_moe else 0
         self.gguf_writer.add_leading_dense_block_count(first_k_dense_replace)
+        kv_lora_rank = hparams.get("kv_lora_rank", 512)
         self.gguf_writer.add_vocab_size(hparams["vocab_size"])
         if "q_lora_rank" in hparams and hparams["q_lora_rank"] is not None:
             self.gguf_writer.add_q_lora_rank(hparams["q_lora_rank"])
-        self.gguf_writer.add_kv_lora_rank(hparams["kv_lora_rank"])
 
         # note: deepseek2 using MLA converts into MQA with larger heads, then decompresses to MHA
-        self.gguf_writer.add_key_length(hparams["kv_lora_rank"] + hparams["qk_rope_head_dim"])
-        self.gguf_writer.add_value_length(hparams["kv_lora_rank"])
-        self.gguf_writer.add_key_length_mla(hparams["qk_nope_head_dim"] + hparams["qk_rope_head_dim"])
-        self.gguf_writer.add_value_length_mla(hparams["v_head_dim"])
+        if not is_ocr:
+            self.gguf_writer.add_kv_lora_rank(kv_lora_rank)
+            self.gguf_writer.add_key_length(kv_lora_rank + hparams["qk_rope_head_dim"])
+            self.gguf_writer.add_value_length(kv_lora_rank)
+            self.gguf_writer.add_key_length_mla(hparams["qk_nope_head_dim"] + hparams["qk_rope_head_dim"])
+            self.gguf_writer.add_value_length_mla(hparams["v_head_dim"])
 
         # MoE parameters (required by C++ code for DEEPSEEK2 arch)
         # For non-MoE models like Youtu, use intermediate_size as expert_feed_forward_length
@@ -8364,8 +9094,15 @@ class DeepseekV2Model(TextModel):
     _experts: list[dict[str, Tensor]] | None = None
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # skip vision tensors and remove "language_model." for Kimi-VL and Kimi-K2.5
-        if "vision_tower" in name or "multi_modal_projector" in name or "mm_projector" in name:
+        # skip vision tensors and remove "language_model." for Kimi-VL and Kimi-K2.5, and DeepSeek-OCR
+        if ("vision_tower" in name
+                or "multi_modal_projector" in name
+                or "mm_projector" in name
+                or "vision_model" in name
+                or "image_newline" in name
+                or "model.projector" in name
+                or "sam_model" in name
+                or "view_seperator" in name):
             return
         if name.startswith("siglip2.") or name.startswith("merger."):
             return
@@ -8876,7 +9613,7 @@ class T5Model(TextModel):
         if not tokenizer_path.is_file():
             raise FileNotFoundError(f"File not found: {tokenizer_path}")
 
-        sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue]
+        sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
         sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read())
 
         # some models like Pile-T5 family use BPE tokenizer instead of Unigram
@@ -9013,7 +9750,7 @@ class T5EncoderModel(TextModel):
         if not tokenizer_path.is_file():
             raise FileNotFoundError(f"File not found: {tokenizer_path}")
 
-        sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue]
+        sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
         sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read())
 
         # some models like Pile-T5 family use BPE tokenizer instead of Unigram
@@ -9234,10 +9971,10 @@ class Glm4Model(TextModel):
         self.gguf_writer.add_token_list(tokens)
         self.gguf_writer.add_token_types(toktypes)
         special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def set_gguf_parameters(self):
@@ -9465,12 +10202,12 @@ class ChatGLMModel(TextModel):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
-        vocab_size = hparams.get("padded_vocab_size", len(tokenizer.get_vocab()))
-        assert max(tokenizer.get_vocab().values()) < vocab_size
+        vocab_size = hparams.get("padded_vocab_size", len(tokenizer.get_vocab()))  # ty: ignore[unresolved-attribute]
+        assert max(tokenizer.get_vocab().values()) < vocab_size  # ty: ignore[unresolved-attribute]
         role_special_tokens = ["<|system|>", "<|user|>", "<|assistant|>", "<|observation|>"]
         special_tokens = ["[MASK]", "[gMASK]", "[sMASK]", "sop", "eop"] + role_special_tokens
         for token_id in range(vocab_size):
-            piece = tokenizer._convert_id_to_token(token_id)
+            piece = tokenizer._convert_id_to_token(token_id)  # ty: ignore[unresolved-attribute]
             if token_id == 0:
                 piece = "<unk>"
             elif token_id == 1:
@@ -9478,17 +10215,17 @@ class ChatGLMModel(TextModel):
             elif token_id == 2:
                 piece = "<eos>"
 
-            text = piece.encode("utf-8")
+            text = piece.encode("utf-8")  # ty: ignore[unresolved-attribute]
             score = 0.0
             # Referencing the tokenizer Python implementation(https://huggingface.co/THUDM/chatglm3-6b/blob/main/tokenization_chatglm.py),
             # it is only valid if it is less than tokenizer.tokenizer.sp_model.vocab_size()
-            if len(piece) != 0 and token_id < tokenizer.tokenizer.sp_model.vocab_size():
-                score = tokenizer.tokenizer.sp_model.get_score(token_id)
+            if len(piece) != 0 and token_id < tokenizer.tokenizer.sp_model.vocab_size():  # ty: ignore[unresolved-attribute, invalid-argument-type]
+                score = tokenizer.tokenizer.sp_model.get_score(token_id)  # ty: ignore[unresolved-attribute]
 
-            if token_id >= tokenizer.tokenizer.sp_model.vocab_size():
+            if token_id >= tokenizer.tokenizer.sp_model.vocab_size():  # ty: ignore[unresolved-attribute]
                 if piece in special_tokens:
                     toktype = SentencePieceTokenTypes.CONTROL
-                elif len(piece) == 0:
+                elif len(piece) == 0:  # ty: ignore[invalid-argument-type]
                     text = f"[PAD{token_id}]".encode("utf-8")
                     toktype = SentencePieceTokenTypes.UNUSED
                 else:
@@ -9499,13 +10236,13 @@ class ChatGLMModel(TextModel):
                 continue
 
             toktype = SentencePieceTokenTypes.NORMAL
-            if tokenizer.tokenizer.sp_model.is_unknown(token_id):
+            if tokenizer.tokenizer.sp_model.is_unknown(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.UNKNOWN
-            elif tokenizer.tokenizer.sp_model.is_control(token_id):
+            elif tokenizer.tokenizer.sp_model.is_control(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.CONTROL
-            elif tokenizer.tokenizer.sp_model.is_unused(token_id):
+            elif tokenizer.tokenizer.sp_model.is_unused(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.UNUSED
-            elif tokenizer.tokenizer.sp_model.is_byte(token_id):
+            elif tokenizer.tokenizer.sp_model.is_byte(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.BYTE
 
             tokens.append(text)
@@ -9525,7 +10262,7 @@ class ChatGLMModel(TextModel):
 
     @staticmethod
     def token_bytes_to_string(b):
-        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
+        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode  # ty: ignore[unresolved-import]
         byte_encoder = bytes_to_unicode()
         return ''.join([byte_encoder[ord(char)] for char in b.decode('latin-1')])
 
@@ -9559,7 +10296,7 @@ class ChatGLMModel(TextModel):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
         vocab_size = hparams.get("padded_vocab_size",hparams["vocab_size"])
-        assert max(tokenizer.get_vocab().values()) < vocab_size
+        assert max(tokenizer.get_vocab().values()) < vocab_size  # ty: ignore[unresolved-attribute]
 
         tokens, toktypes, tokpre = self.get_vocab_base()
         self.gguf_writer.add_tokenizer_model("gpt2")
@@ -9568,10 +10305,10 @@ class ChatGLMModel(TextModel):
         self.gguf_writer.add_token_types(toktypes)
         special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
         # only add special tokens when they were not already loaded from config.json
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]
         # this one is usually not in config.json anyway
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def set_gguf_parameters(self):
@@ -10164,7 +10901,64 @@ class NemotronHModel(GraniteHybridModel):
                 self.gguf_writer.add_moe_latent_size(latent_size)
 
     def set_vocab(self):
-        super().set_vocab()
+        # The NemotronH config uses pattern characters (e.g. '-') that may not
+        # be supported by the installed transformers version. AutoTokenizer
+        # internally calls AutoConfig which triggers this parsing failure.
+        # Using trust_remote_code=True to load the model's own config class.
+        tokens: list[str] = []
+        toktypes: list[int] = []
+
+        from transformers import AutoTokenizer
+        tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
+
+        # Pad vocab size (from Mamba2Model/GraniteHybridModel)
+        self.hparams["pad_vocab_size_multiple"] = 8 # Setting this here since GraniteHybridModel.set_vocab() isn't being invoked now.
+        # From Mamba2Model.set_vocab():
+        vocab_size = self.hparams["vocab_size"]
+        pad_vocab = self.hparams.get("pad_vocab_size_multiple", 16)
+        # ref: https://stackoverflow.com/a/17511341/22827863
+        vocab_size = -(vocab_size // -pad_vocab) * pad_vocab
+        self.hparams["vocab_size"] = vocab_size
+
+        assert max(tokenizer.vocab.values()) < vocab_size  # ty: ignore[unresolved-attribute]
+
+        tokpre = self.get_vocab_base_pre(tokenizer)
+
+        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}  # ty: ignore[unresolved-attribute]
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
+
+        added_tokens_decoder = tokenizer.added_tokens_decoder  # ty: ignore[unresolved-attribute]
+
+        for i in range(vocab_size):
+            if i not in reverse_vocab:
+                tokens.append(f"[PAD{i}]")
+                toktypes.append(gguf.TokenType.UNUSED)
+            else:
+                token: str = reverse_vocab[i]
+                if token in added_vocab:
+                    if not added_tokens_decoder[i].normalized:
+                        previous_token = token
+                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))  # ty: ignore[unresolved-attribute, invalid-assignment]
+                        if previous_token != token:
+                            logger.info(f"{repr(previous_token)} is encoded and decoded back to {repr(token)} using AutoTokenizer")
+
+                    if added_tokens_decoder[i].special or self.does_token_look_special(token):
+                        toktypes.append(gguf.TokenType.CONTROL)
+                    else:
+                        token = token.replace(b"\xe2\x96\x81".decode("utf-8"), " ")  # pre-normalize user-defined spaces
+                        toktypes.append(gguf.TokenType.USER_DEFINED)
+                else:
+                    toktypes.append(gguf.TokenType.NORMAL)
+                tokens.append(token)
+
+        # From TextModel.set_vocab_gpt2():
+        self.gguf_writer.add_tokenizer_model("gpt2")
+        self.gguf_writer.add_tokenizer_pre(tokpre)
+        self.gguf_writer.add_token_list(tokens)
+        self.gguf_writer.add_token_types(toktypes)
+
+        special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
+        special_vocab.add_to_gguf(self.gguf_writer)
 
         # The tokenizer _does_ add a BOS token (via post_processor type
         # TemplateProcessing) but does not set add_bos_token to true in the
@@ -10692,6 +11486,48 @@ class UltravoxWhisperEncoderModel(WhisperEncoderModel):
         self.gguf_writer.add_audio_stack_factor(self.global_config["stack_factor"])
 
 
+@ModelBase.register("MERaLiON2ForConditionalGeneration")
+class MERaLiONWhisperEncoderModel(WhisperEncoderModel):
+    has_vision_encoder = False
+    has_audio_encoder = True
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        return self.global_config.get("speech_config")
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.MERALION)
+        self.gguf_writer.add_audio_stack_factor(self.global_config.get("speech_mlp_scale_factor", 15))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("text_decoder."):
+            return
+
+        if name.startswith("speech_encoder."):
+            name = name.replace("speech_encoder.", "audio_tower.")
+            yield from super().modify_tensors(data_torch, name, bid)
+            return
+
+        suffix = "." + name.rsplit(".", 1)[-1]
+
+        if name.startswith("ln_speech."):
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MM_NORM_PRE, suffix=suffix), data_torch)
+            return
+
+        if name.startswith("speech_audio_adapter."):
+            if ".mlp_adapter.0." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 0, suffix=suffix), data_torch)
+            elif ".gate_proj." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 1, suffix=suffix), data_torch)
+            elif ".pool_proj." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 2, suffix=suffix), data_torch)
+            elif ".out_proj." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 3, suffix=suffix), data_torch)
+            return
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("VoxtralForConditionalGeneration")
 class VoxtralWhisperEncoderModel(WhisperEncoderModel):
     has_vision_encoder = False # no vision encoder
@@ -10837,7 +11673,7 @@ class HunYuanMoEModel(TextModel):
         # 2. Reverse-engineer the merges list from mergeable_ranks
         merges = []
         vocab = {}
-        mergeable_ranks = tokenizer.mergeable_ranks
+        mergeable_ranks = tokenizer.mergeable_ranks  # ty: ignore[unresolved-attribute]
         for token, rank in mergeable_ranks.items():
             vocab[QwenModel.token_bytes_to_string(token)] = rank
             if len(token) == 1:
@@ -10848,8 +11684,8 @@ class HunYuanMoEModel(TextModel):
 
         # 3. Generate the tokens and toktypes lists
         vocab_size = self.hparams["vocab_size"]
-        assert tokenizer.vocab_size == vocab_size
-        special_tokens = tokenizer.special_tokens
+        assert tokenizer.vocab_size == vocab_size  # ty: ignore[unresolved-attribute]
+        special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
         reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
         tokens: list[str] = []
         toktypes: list[int] = []
@@ -11019,13 +11855,50 @@ class LLaDAMoEModel(TextModel):
                 raise ValueError(f"Unprocessed experts: {experts}")
 
 
-@ModelBase.register("HunYuanDenseV1ForCausalLM")
+@ModelBase.register("HunYuanDenseV1ForCausalLM", "HunYuanVLForConditionalGeneration")
 class HunYuanModel(TextModel):
     model_arch = gguf.MODEL_ARCH.HUNYUAN_DENSE
 
+    def _get_eod_token_id(self) -> int | None:
+        """Get the actual end-of-generation token from config (eod_token_id)."""
+        return self.hparams.get("eod_token_id")
+
+    def _get_eot_token_id(self) -> int | None:
+        """Get the end-of-turn token from generation_config.json.
+        This is the first entry in eos_token_id when it's a list."""
+        gen_cfg_path = self.dir_model / "generation_config.json"
+        if gen_cfg_path.is_file():
+            with open(gen_cfg_path, encoding="utf-8") as f:
+                gen_cfg = json.load(f)
+            eos = gen_cfg.get("eos_token_id")
+            if isinstance(eos, list) and len(eos) >= 2:
+                return eos[0]
+        return None
+
+    def _fix_special_tokens(self):
+        """Fix EOS/EOT tokens that are incorrect in upstream configs."""
+        eod_id = self._get_eod_token_id()
+        if eod_id is not None:
+            self.gguf_writer.add_eos_token_id(eod_id)
+        eot_id = self._get_eot_token_id()
+        if eot_id is not None:
+            self.gguf_writer.add_eot_token_id(eot_id)
+
     def set_vocab(self):
         if (self.dir_model / "tokenizer.json").is_file():
-            self._set_vocab_gpt2()
+            tokens, toktypes, tokpre = self.get_vocab_base()
+            self.gguf_writer.add_tokenizer_model("gpt2")
+            self.gguf_writer.add_tokenizer_pre(tokpre)
+            self.gguf_writer.add_token_list(tokens)
+            self.gguf_writer.add_token_types(toktypes)
+
+            # HunyuanOCR has pad_token_id=-1 in config.json; exclude pad from SpecialVocab
+            token_types = None
+            if (self.hparams.get("pad_token_id") or 0) < 0:
+                token_types = ('bos', 'eos', 'unk', 'sep', 'cls', 'mask')
+            special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True, special_token_types=token_types)
+            special_vocab.add_to_gguf(self.gguf_writer)
+            self._fix_special_tokens()
         else:
             from transformers import AutoTokenizer
             tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
@@ -11036,7 +11909,7 @@ class HunYuanModel(TextModel):
             # 2. Reverse-engineer the merges list from mergeable_ranks
             merges = []
             vocab = {}
-            mergeable_ranks = tokenizer.mergeable_ranks
+            mergeable_ranks = tokenizer.mergeable_ranks  # ty: ignore[unresolved-attribute]
             for token, rank in mergeable_ranks.items():
                 vocab[QwenModel.token_bytes_to_string(token)] = rank
                 if len(token) == 1:
@@ -11047,8 +11920,8 @@ class HunYuanModel(TextModel):
 
             # 3. Generate the tokens and toktypes lists
             vocab_size = self.hparams["vocab_size"]
-            assert tokenizer.vocab_size == vocab_size
-            special_tokens = tokenizer.special_tokens
+            assert tokenizer.vocab_size == vocab_size  # ty: ignore[unresolved-attribute]
+            special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
             reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
             tokens: list[str] = []
             toktypes: list[int] = []
@@ -11077,13 +11950,18 @@ class HunYuanModel(TextModel):
             # FIX for BOS token: Overwrite incorrect id read from config.json
             if self.hparams['hidden_size'] == 4096:
                 self.gguf_writer.add_bos_token_id(127958) # only for 7b dense, fix <|bos|> token
+            self._fix_special_tokens()
 
     def set_gguf_parameters(self):
+        # HunyuanOCR has num_experts=1 which is not MoE, prevent parent from writing it
+        saved_num_experts = self.hparams.pop("num_experts", None)
         super().set_gguf_parameters()
+        if saved_num_experts is not None and saved_num_experts > 1:
+            self.hparams["num_experts"] = saved_num_experts
         hparams = self.hparams
 
         # Rope
-        if self.rope_parameters.get("rope_type") == "dynamic":
+        if self.rope_parameters.get("rope_type") in ("dynamic", "xdrope"):
             # HunYuan uses NTK Aware Alpha based scaling. Original implementation: https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/
             # 1000 corresponds to a usable context length of 256k (https://github.com/Tencent-Hunyuan/Hunyuan-A13B/blob/main/report/Hunyuan_A13B_Technical_Report.pdf)
             alpha = self.rope_parameters.get("alpha", 50)
@@ -11093,13 +11971,14 @@ class HunYuanModel(TextModel):
             self.gguf_writer.add_rope_freq_base(scaled_base)
             self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE)
             self.gguf_writer.add_rope_scaling_factor(1)
-            # There is no consistent way to calculate ctx from alpha, and the config is incorrectly set to 32k
-            self.gguf_writer.add_rope_scaling_orig_ctx_len(256 * 1024) # 256k context length
-            self.gguf_writer.add_context_length(256 * 1024) # 256k context length
+            if self.rope_parameters.get("rope_type") == "dynamic":
+                # There is no consistent way to calculate ctx from alpha, and the config is incorrectly set to 32k
+                self.gguf_writer.add_rope_scaling_orig_ctx_len(256 * 1024) # 256k context length
+                self.gguf_writer.add_context_length(256 * 1024) # 256k context length
 
-            # if any of our assumptions about the values are wrong, something has changed and this may need to be updated
-            assert base == 10000.0 and self.hparams["max_position_embeddings"] in [32 * 1024, 256 * 1024] , \
-                "HunYuan dynamic RoPE scaling assumptions changed, please update the logic or context length manually"
+                # if any of our assumptions about the values are wrong, something has changed and this may need to be updated
+                assert base == 10000.0 and self.hparams["max_position_embeddings"] in [32 * 1024, 256 * 1024] , \
+                    "HunYuan dynamic RoPE scaling assumptions changed, please update the logic or context length manually"
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if name == "lm_head.weight":
@@ -11107,9 +11986,48 @@ class HunYuanModel(TextModel):
                 logger.info("Skipping tied output layer 'lm_head.weight'")
                 return
 
+        # skip vision tensors for HunyuanVL models
+        if name.startswith("vit."):
+            return
+
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("HunYuanVLForConditionalGeneration")
+class HunyuanOCRVisionModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+        # HunyuanOCR uses max_image_size instead of image_size
+        if "image_size" not in self.hparams_vision:
+            self.hparams_vision["image_size"] = self.hparams_vision.get("max_image_size", 2048)
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        assert self.hparams_vision is not None
+        hparams = self.hparams_vision
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.HUNYUANOCR)
+        self.gguf_writer.add_vision_use_gelu(True)
+        self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("rms_norm_eps", 1e-5))
+        self.gguf_writer.add_vision_spatial_merge_size(hparams.get("spatial_merge_size", 2))
+        self.gguf_writer.add_vision_min_pixels(self.preprocessor_config["min_pixels"])
+        self.gguf_writer.add_vision_max_pixels(self.preprocessor_config["max_pixels"])
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if not name.startswith("vit."):
+            return  # skip text tensors
+        # strip CLS token (row 0) from position embeddings so resize_position_embeddings works
+        if "position_embedding" in name:
+            data_torch = data_torch[1:]  # [n_patches+1, n_embd] -> [n_patches, n_embd]
+        yield from super().modify_tensors(data_torch, name, bid)
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        # force conv weights to F32 or F16 to avoid BF16 IM2COL issues on Metal
+        if ("mm.0." in new_name or "mm.2." in new_name) and new_name.endswith(".weight"):
+            return gguf.GGMLQuantizationType.F16 if self.ftype == gguf.LlamaFileType.MOSTLY_F16 else gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+
 @ModelBase.register("SmolLM3ForCausalLM")
 class SmolLM3Model(LlamaModel):
     model_arch = gguf.MODEL_ARCH.SMOLLM3
@@ -11121,8 +12039,7 @@ class GptOssModel(TextModel):
 
     # TODO: remove once MXFP4 is supported more generally
     def dequant_model(self):
-        quant_config = self.hparams.get("quantization_config")
-        if quant_config is not None and quant_config.get("quant_method") == "mxfp4":
+        if self._is_mxfp4:
             return
         return super().dequant_model()
 
@@ -11235,10 +12152,8 @@ class LFM2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.LFM2
 
     def _add_feed_forward_length(self):
-        ff_dim = self.hparams["block_ff_dim"]
-
+        ff_dim = self.find_hparam(["block_ff_dim", "intermediate_size"])
         auto_adjust_ff_dim = self.hparams["block_auto_adjust_ff_dim"]
-        ff_dim = self.hparams["block_ff_dim"]
         ffn_dim_multiplier = self.hparams["block_ffn_dim_multiplier"]
         multiple_of = self.hparams["block_multiple_of"]
 
@@ -12154,13 +13069,44 @@ class SolarOpenModel(Glm4MoeModel):
         self.gguf_writer.add_tokenizer_pre(tokpre)
         self.gguf_writer.add_token_list(tokens)
         self.gguf_writer.add_token_types(toktypes)
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<unk>"])
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|startoftext|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<unk>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|startoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
 
+@ModelBase.register("DotsOCRForCausalLM")
+class DotsOCRVisionModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+        self.hparams_vision["image_size"] = 0 # dynamic resolution
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.DOTSOCR)
+        self.gguf_writer.add_vision_min_pixels(self.preprocessor_config["min_pixels"])
+        self.gguf_writer.add_vision_max_pixels(self.preprocessor_config["max_pixels"])
+        self.gguf_writer.add_vision_attention_layernorm_eps(self.find_vparam(["rms_norm_eps"]))
+        self.gguf_writer.add_vision_projector_scale_factor(self.find_vparam(["spatial_merge_size"]))
+        self.gguf_writer.add_vision_use_silu(True)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("vision_tower."):
+            if "vision_tower.blocks." in name and ".mlp." in name:
+                # note: to avoid naming conflicts in tensor_mapping.py, we need to handle FFN renaming here
+                # x = F.silu(self.fc1(x)) * self.fc3(x)
+                # x = self.fc2(x)
+                # fc1 -> gate, fc2 -> down, fc3 -> up
+                # mapping original names to Qwen2.5 naming scheme
+                name = name.replace("vision_tower.blocks.", "visual.blocks.")
+                name = name.replace(".fc1", ".gate_proj")
+                name = name.replace(".fc2", ".down_proj")
+                name = name.replace(".fc3", ".up_proj")
+            yield from super().modify_tensors(data_torch, name, bid)
+
+
 ###### CONVERSION LOGIC ######
 
 
@@ -12275,6 +13221,7 @@ class LazyTorchTensor(gguf.LazyBase):
             kwargs = {}
 
         if func is torch.Tensor.numpy:
+            assert len(args)
             return args[0].numpy()
 
         return cls._wrap_fn(func)(*args, **kwargs)
@@ -12412,6 +13359,12 @@ def get_model_architecture(hparams: dict[str, Any], model_type: ModelType) -> st
         # For non-hf Mamba and Mamba2 models
         arch = hparams["ssm_cfg"].get("layer", "Mamba") + "ForCausalLM"
 
+    # Step3-VL keeps text config under text_config but uses a custom top-level architecture.
+    # For text conversion we route to a dedicated text-only class.
+    # TODO: refactor this later to avoid adding exception here
+    if model_type == ModelType.TEXT and arch == "StepVLForConditionalGeneration":
+        return arch
+
     # if "architectures" is found in the sub-config, use that instead
     if model_type == ModelType.TEXT and text_config.get("architectures") is not None:
         arch = text_config["architectures"][0]
diff --git a/convert_hf_to_gguf_update.py b/convert_hf_to_gguf_update.py
index b31ddcca774f9d5992639a14b68a8bca28f94756..d8d10a10128af2adcfd778a4be915a4c325d252e 100644
--- a/convert_hf_to_gguf_update.py
+++ b/convert_hf_to_gguf_update.py
@@ -154,6 +154,7 @@ models = [
     {"name": "qwen35",           "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen3.5-9B-Instruct", },
     {"name": "joyai-llm",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jdopensource/JoyAI-LLM-Flash", },
     {"name": "kanana2",          "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/kakaocorp/kanana-2-30b-a3b-instruct-2601", },
+    {"name": "f2llmv2",          "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/codefuse-ai/F2LLM-v2-4B", },
 ]
 
 # some models are known to be broken upstream, so we will skip them as exceptions
@@ -177,6 +178,7 @@ pre_computed_hashes = [
     {"name": "grok-2",    "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/alvarobartt/grok-2-tokenizer", "chkhsh": "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273"},
     # jina-v2-de variants
     {"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/aari1995/German_Semantic_V3", "chkhsh": "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df"},
+    {"name": "gpt-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/evilfreelancer/ruGPT3XL", "chkhsh": "0fe1cf6eda062318a1af7270f3331a85c539a01778ff948e24388e949c5282f4"},
 ]
 
 
@@ -294,7 +296,7 @@ for model in [*pre_computed_hashes, *all_models]:
         except Exception as e:
             raise OSError(f"Error loading tokenizer for model {name}.") from e
 
-        chktok = tokenizer.encode(CHK_TXT)
+        chktok = tokenizer.encode(CHK_TXT)  # ty: ignore[unresolved-attribute]
         chkhsh = sha256(str(chktok).encode()).hexdigest()
 
         logger.info(f"model: {name}")
@@ -466,7 +468,7 @@ for model in models:
 
     with open(f"models/ggml-vocab-{name}.gguf.out", "w") as f:
         for text in tests:
-            res = tokenizer.encode(text, add_special_tokens=False)
+            res = tokenizer.encode(text, add_special_tokens=False)  # ty: ignore[unresolved-attribute]
             for r in res:
                 f.write(f" {r}")
             f.write("\n")
diff --git a/convert_llama_ggml_to_gguf.py b/convert_llama_ggml_to_gguf.py
index 29b14e98dd237a4c04e139cc6e35d9494576a896..52827e6690a3b706476292c580244afe37f8f894 100644
--- a/convert_llama_ggml_to_gguf.py
+++ b/convert_llama_ggml_to_gguf.py
@@ -112,11 +112,11 @@ class Tensor:
         (n_dims, name_len, dtype) = struct.unpack('<3I', data[offset:offset + 12])
         assert n_dims >= 0 and n_dims <= 4, f'Invalid tensor dimensions {n_dims}'
         assert name_len < 4096, 'Absurd tensor name length'
-        quant = gguf.GGML_QUANT_SIZES.get(dtype)
+        self.dtype = gguf.GGMLQuantizationType(dtype)
+        quant = gguf.GGML_QUANT_SIZES.get(self.dtype)
         assert quant is not None, 'Unknown tensor type'
         (blksize, tysize) = quant
         offset += 12
-        self.dtype= gguf.GGMLQuantizationType(dtype)
         self.dims = struct.unpack(f'<{n_dims}I', data[offset:offset + (4 * n_dims)])
         offset += 4 * n_dims
         self.name = bytes(data[offset:offset + name_len])
diff --git a/convert_lora_to_gguf.py b/convert_lora_to_gguf.py
index 871ce824226e3e862d0eda67653abaa3949e365a..d5833420560ba0758406209eec2a2800bee55687 100644
--- a/convert_lora_to_gguf.py
+++ b/convert_lora_to_gguf.py
@@ -199,10 +199,13 @@ class LoraTorchTensor:
             kwargs = {}
 
         if func is torch.permute:
+            assert len(args)
             return type(args[0]).permute(*args, **kwargs)
         elif func is torch.reshape:
+            assert len(args)
             return type(args[0]).reshape(*args, **kwargs)
         elif func is torch.stack:
+            assert len(args)
             assert isinstance(args[0], Sequence)
             dim = kwargs.get("dim", 0)
             assert dim == 0
@@ -211,6 +214,7 @@ class LoraTorchTensor:
                 torch.stack([b._lora_B for b in args[0]], dim),
             )
         elif func is torch.cat:
+            assert len(args)
             assert isinstance(args[0], Sequence)
             dim = kwargs.get("dim", 0)
             assert dim == 0
@@ -362,7 +366,7 @@ if __name__ == '__main__':
             logger.error(f"Model {hparams['architectures'][0]} is not supported")
             sys.exit(1)
 
-        class LoraModel(model_class):
+        class LoraModel(model_class):  # ty: ignore[unsupported-base]
             model_arch = model_class.model_arch
 
             lora_alpha: float
@@ -398,7 +402,7 @@ if __name__ == '__main__':
                     # the invocation string includes the "<|start_of_turn|>"
                     # token, but the adapters themselves were trained to
                     # activate _after_ that first token, so we drop it here.
-                    alora_invocation_tokens = tokenizer(invocation_string)["input_ids"][1:]
+                    alora_invocation_tokens = tokenizer(invocation_string)["input_ids"][1:]  # ty: ignore[call-non-callable]
                 if alora_invocation_tokens:
                     logger.debug("GGUF KV: %s = %s", gguf.Keys.Adapter.ALORA_INVOCATION_TOKENS, alora_invocation_tokens)
                     self.gguf_writer.add_key_value(
diff --git a/docs/autoparser.md b/docs/autoparser.md
index 686b2c249b6b1152dd7c0532c0d47521f7f17df1..9ffd0226529f1404bd7d2d1ba8308eb518d6bb75 100644
--- a/docs/autoparser.md
+++ b/docs/autoparser.md
@@ -1,525 +1,3 @@
-# Auto-Parser Architecture
-
-The auto-parser automatically analyzes chat templates to determine how to parse model outputs, including content, reasoning, and tool calls.
-
-## Overview
-
-The unified auto-parser uses a pure differential, compositional approach (inspired by the `git diff` algorithm) to analyze chat templates:
-
-**Core Philosophy**:
-
-- **Minimize Hardcoded Patterns**: All markers extracted through template comparison (the only heuristic is JSON detection to distinguish `JSON_NATIVE` from tag-based formats)
-- **Compositional Architecture**: Separate analyzer structs for reasoning, content, and tools — each responsible for its own analysis and parser construction
-
-**Analysis + Parser Building in Two Steps**:
-
-1. `autoparser::autoparser tmpl_analysis(tmpl)` — runs all differential comparisons and populates the analysis structs
-2. `autoparser::peg_generator::generate_parser(tmpl, params, tmpl_analysis)` — uses the analysis to build a PEG parser and optional GBNF grammar
-
-## Data Structures
-
-All structs are defined in [common/chat-auto-parser.h](common/chat-auto-parser.h).
-
-### Top-Level: `autoparser` (main analyzer and generator)
-
-[common/chat-auto-parser.h:367-388](common/chat-auto-parser.h#L367-L388) — top-level analysis result aggregating `jinja_caps`, `reasoning`, `content`, and `tools` sub-analyses, plus `preserved_tokens` (union of all non-empty markers).
-
-### `analyze_reasoning`
-
-[common/chat-auto-parser.h:254-274](common/chat-auto-parser.h#L254-L274) — reasoning analysis result: `mode` enum, `start` marker (e.g. `<think>`), and `end` marker (e.g. `</think>`).
-
-### `analyze_content`
-
-[common/chat-auto-parser.h:280-295](common/chat-auto-parser.h#L280-L295) — content analysis result: `mode` enum, `start`/`end` markers, and `requires_nonnull_content` flag.
-
-### `analyze_tools` and its sub-structs
-
-- [common/chat-auto-parser.h:176-194](common/chat-auto-parser.h#L176-L194) — `tool_format_analysis`: `mode` enum, `section_start/end`, `per_call_start/end`, JSON field names (`function_field`, `name_field`, `args_field`, `id_field`, `gen_id_field`), and format flags (`fun_name_is_key`, `tools_array_wrapped`, `uses_python_dicts`)
-- [common/chat-auto-parser.h:196-200](common/chat-auto-parser.h#L196-L200) — `tool_function_analysis`: `name_prefix`, `name_suffix`, `close` markers around function names
-- [common/chat-auto-parser.h:202-210](common/chat-auto-parser.h#L202-L210) — `tool_arguments_analysis`: `start/end` container markers, `name_prefix/suffix`, `value_prefix/suffix`, `separator`
-- [common/chat-auto-parser.h:212-217](common/chat-auto-parser.h#L212-L217) — `tool_id_analysis`: `pos` enum, `prefix`/`suffix` markers around call ID values
-- [common/chat-auto-parser.h:301-361](common/chat-auto-parser.h#L301-L361) — `analyze_tools`: aggregates the four sub-structs above
-
-### Enums
-
-**`reasoning_mode`**: How the template handles reasoning/thinking blocks.
-
-| Value           | Description                                                                       |
-|-----------------|-----------------------------------------------------------------------------------|
-| `NONE`          | No reasoning markers detected                                                     |
-| `TAG_BASED`     | Standard tag-based: `<think>...</think>`                                          |
-| `DELIMITER`     | Delimiter-based: reasoning ends at a delimiter (e.g., `[BEGIN FINAL RESPONSE]`)   |
-| `FORCED_OPEN`   | Template ends with open reasoning tag when `enable_thinking=true`                 |
-| `FORCED_CLOSED` | `enable_thinking=false` emits both tags; `enable_thinking=true` emits only start  |
-| `TOOLS_ONLY`    | Reasoning only appears in tool call responses, not plain content                  |
-
-**`content_mode`**: How the template wraps assistant content.
-
-| Value                    | Description                                                    |
-|--------------------------|----------------------------------------------------------------|
-| `PLAIN`                  | No content markers                                             |
-| `ALWAYS_WRAPPED`         | Content always wrapped: `<response>...</response>`             |
-| `WRAPPED_WITH_REASONING` | Content wrapped only when reasoning is present                 |
-
-**`tool_format`**: Classification of tool call structure.
-
-| Value            | Description                                                      |
-|------------------|------------------------------------------------------------------|
-| `NONE`           | No tool support detected                                         |
-| `JSON_NATIVE`    | Pure JSON: `{"name": "X", "arguments": {...}}`                   |
-| `TAG_WITH_JSON`  | Tag-based with JSON args: `<function=X>{...}</function>`         |
-| `TAG_WITH_TAGGED`| Tag-based with tagged args: `<param=key>value</param>`           |
-
-**`call_id_position`**: Where call IDs appear in tag-based formats.
-
-| Value                    | Description                                  |
-|--------------------------|----------------------------------------------|
-| `NONE`                   | No call ID support detected                  |
-| `PRE_FUNC_NAME`          | Before function name                         |
-| `BETWEEN_FUNC_AND_ARGS`  | Between function name and arguments          |
-| `POST_ARGS`              | After arguments                              |
-
-## Tool Calling Formats
-
-### JSON_NATIVE
-
-**Structure**: The entire tool call (function name, arguments, values) is in JSON format. Optional enclosing tags around the section.
-
-**Detection**: Function name appears inside a JSON structure (quotes preceded by `{` or `:`).
-
-**Examples**:
-
-Standard OpenAI-style:
-
-```json
-<tool_call>
-{"name": "get_weather", "arguments": {"location": "Paris", "unit": "celsius"}}
-</tool_call>
-```
-
-Mistral Nemo with array wrapper:
-
-```json
-[TOOL_CALLS]
-[{"name": "calculate", "arguments": {"expr": "2+2"}}]
-```
-
-Function name as JSON key (Apertus style):
-
-```json
-{"get_weather": {"location": "Paris"}}
-```
-
----
-
-### TAG_WITH_JSON
-
-**Structure**: Function name is outside JSON, in tag attributes or XML-style tags. Arguments are a JSON object.
-
-**Detection**: Function name not in JSON, but argument names appear in JSON context.
-
-**Examples**:
-
-Functionary v3.1:
-
-```xml
-<function=get_weather>{"location": "Paris", "unit": "celsius"}</function>
-```
-
-MiniMax:
-
-```xml
-<minimax:tool_call>
-<tool_name>calculate</tool_name>
-<arguments>{"expr": "2+2"}</arguments>
-</minimax:tool_call>
-```
-
----
-
-### TAG_WITH_TAGGED
-
-**Structure**: Both function name and argument names are in XML-style tags. String values are unquoted; non-string values are JSON-formatted.
-
-**Detection**: Neither function name nor argument names appear in a JSON context.
-
-**Examples**:
-
-Qwen/Hermes XML format:
-
-```xml
-<function=get_weather>
-<param=location>Paris</param>
-<param=unit>celsius</param>
-</function>
-```
-
-Mixed types:
-
-```xml
-<function=calculate>
-<param=expr>2+2</param>
-<param=precision>2</param>
-<param=options>{"round": true}</param>
-</function>
-```
-
-String values (`Paris`, `celsius`, `2+2`) are unquoted; `options` (object type) is JSON-formatted.
-
----
-
-## Analysis Flow
-
-```text
-autoparser::autoparser(tmpl)
-    |
-    |-- Phase 1: analyze_reasoning(tmpl, jinja_caps.supports_tool_calls)
-    |     |-- R1: compare_reasoning_presence()   — with/without reasoning_content field
-    |     |-- R2: compare_thinking_enabled()     — enable_thinking=false vs true
-    |     '-- R3: compare_reasoning_scope()      — reasoning+content vs reasoning+tools
-    |           (only if supports_tool_calls)
-    |
-    |-- Phase 2: analyze_content(tmpl, reasoning)
-    |     '-- C1: compares content-only vs tools output and content-only vs reasoning output
-    |
-    |-- Phase 3: analyze_tools(tmpl, jinja_caps, reasoning)
-    |     (skipped entirely if !jinja_caps.supports_tool_calls)
-    |     |
-    |     |-- T1: analyze_tool_calls()           — no tools vs with tools; classifies format
-    |     |         |-- JSON path → analyze_tool_call_format_json_native()
-    |     |         '-- tag path → analyze_tool_call_format_non_json()
-    |     |
-    |     (if format != NONE and format != JSON_NATIVE:)
-    |     |
-    |     |-- T2: check_per_call_markers()       — 1 call vs 2 calls; moves section→per-call if needed
-    |     |         (only if supports_parallel_tool_calls)
-    |     |
-    |     |-- T3: extract_function_markers()     — func_alpha vs func_beta; extracts name prefix/suffix/close
-    |     |
-    |     |-- T4: analyze_arguments()            — (TAG_WITH_TAGGED only)
-    |     |         |-- A1: extract_argument_name_markers()   — arg_name_A vs arg_name_B
-    |     |         '-- A2: extract_argument_value_markers()  — value "XXXX" vs "YYYY"
-    |     |
-    |     |-- T5: extract_argument_separator()   — 1 arg vs 2 args; finds separator between args
-    |     |
-    |     |-- T6: extract_args_markers()         — 0 args vs 1 arg; finds args container markers
-    |     |
-    |     '-- T7: extract_call_id_markers()      — call_id "call00001" vs "call99999"
-    |
-    '-- collect_preserved_tokens()               — union of all non-empty markers
-    |
-    '-- apply workarounds()                      — post-hoc patches for edge-case templates
-    |
-    v
-autoparser (analysis result)
-    |
-    v
-autoparser::peg_generator::generate_parser(tmpl, inputs, analysis)
-    |-- analysis.build_parser(inputs)            — builds PEG parser arena
-    |     |-- reasoning.build_parser(ctx)        — reasoning parser (mode-dependent)
-    |     |-- content.build_parser(ctx)          — content parser (mode-dependent)
-    |     '-- tools.build_parser(ctx)            — tool parser (dispatches by tool_format)
-    |           |-- build_tool_parser_json_native()
-    |           |-- build_tool_parser_tag_json()
-    |           '-- build_tool_parser_tag_tagged()
-    |
-    |-- Build GBNF grammar (if tools present and trigger_marker non-empty)
-    '-- Set grammar_triggers from section_start or per_call_start
-    |
-    v
-common_chat_params (prompt, parser, grammar, triggers, preserved_tokens)
-```
-
-## Entry Point
-
-The auto-parser is invoked in [common/chat.cpp:1280-1310](common/chat.cpp#L1280-L1310) in `common_chat_templates_apply_jinja`. A few specialized templates are handled first (Ministral/Magistral Large 3, GPT-OSS with `<|channel|>`, Functionary v3.2 with `>>>all`), then the auto-parser handles everything else via `autoparser::autoparser` + `peg_generator::generate_parser`.
-
-## Algorithm Details
-
-### Core Mechanism: Differential Comparison
-
-All analysis phases use the same factorized comparison function declared in [common/chat-auto-parser-helpers.h:68](common/chat-auto-parser-helpers.h#L68):
-
-```cpp
-compare_variants(tmpl, params_A, params_modifier)
-```
-
-This creates variant B by applying a modifier lambda to a copy of `params_A`, renders both through the template, and computes a `diff_split` ([common/chat-auto-parser.h:28-37](common/chat-auto-parser.h#L28-L37)):
-
-- `prefix` — common prefix between A and B
-- `suffix` — common suffix between A and B
-- `left` — unique to variant A
-- `right` — unique to variant B
-
-The diff is computed via `calculate_diff_split()`, which finds the longest-common-prefix and longest-common-suffix, then iteratively moves incomplete `<...>` or `[...]` markers from the prefix/suffix into left/right until stable (tag boundary fixing).
-
-Text is segmentized into markers and non-marker fragments using `segmentize_markers()`, which splits on `<...>` and `[...]` boundaries.
-
-### Phase 1: Reasoning Analysis
-
-**R1 — `compare_reasoning_presence()`**: Compares assistant message with vs without a `reasoning_content` field.
-
-- Searches `diff.right` (output with reasoning) for the reasoning content needle
-- Uses PEG parsers to find surrounding markers:
-  - If both pre/post markers found in `diff.right` → `TAG_BASED` (both tags visible in diff = no forced close)
-  - If both found but post marker only in the full output B → `FORCED_CLOSED`
-  - If only post marker found → `DELIMITER`
-- Sets `reasoning.start` and `reasoning.end`
-
-**R2 — `compare_thinking_enabled()`**: Compares `enable_thinking=false` vs `true` with a generation prompt.
-
-- Detects `FORCED_OPEN`: `enable_thinking=true` adds a non-empty marker at the end of the prompt (where model will start generating) — sets `reasoning.start`, mode = `FORCED_OPEN`
-- Detects `FORCED_CLOSED`: `enable_thinking=false` produces both start+end markers; `enable_thinking=true` produces only start marker
-- Handles the reverse case: if both start and end are still empty, looks for a single-segment diff on each side to extract both markers
-
-**R3 — `compare_reasoning_scope()`**: Compares assistant message with reasoning+text-content vs reasoning+tool-calls.
-
-- Only runs if `jinja_caps.supports_tool_calls`
-- Detects `TOOLS_ONLY`: reasoning content present in B (with tools) but not in A (with text content)
-- Extracts reasoning markers from the tool call output using PEG parsers
-
-### Phase 2: Content Analysis
-
-**C1**: Two comparisons in the `analyze_content` constructor:
-
-- Comparison 1: content-only output vs tool-call output → `diff_tools`
-- Comparison 2: content-only output vs reasoning+empty-content output → `diff_reasoning`
-
-Classification logic:
-
-- `PLAIN`: `diff_tools.left` equals the response string (content is the entire diff, no wrapper)
-- `ALWAYS_WRAPPED`: markers found surrounding the content text in `pure_content` → extracts `start`/`end`
-
-### Phase 3: Tool Call Analysis
-
-**T1 — `analyze_tool_calls()`**: Compares no-tools vs with-tools output.
-
-- Extracts the tool call section as `diff.right`
-- Calls `analyze_tool_call_format()` which first strips reasoning markers from the haystack, then:
-  - Calls `in_json_haystack()` for both function name and argument name needles
-  - `in_json_haystack()` uses a PEG parser to check whether the needle appears in a JSON context (preceded by `{` or `:` with surrounding quotes)
-  - If function name is in JSON → `JSON_NATIVE` → `analyze_tool_call_format_json_native()`
-  - If function name not in JSON, arg name is in JSON → `TAG_WITH_JSON`
-  - If neither in JSON → `TAG_WITH_TAGGED`
-  - `analyze_tool_call_format_json_native()`: parses the JSON object, matches field values to needles to populate `name_field`, `args_field`, `id_field`, `gen_id_field`; detects `tools_array_wrapped`; extracts `section_start`/`section_end`
-  - `analyze_tool_call_format_non_json()`: uses PEG parsers on the haystack to find up to two opening markers (section + per-call) then up to two closing markers
-
-**T2 — `check_per_call_markers()`**: Compares 1 call vs 2 calls.
-
-- Computes a secondary diff of the second call portion vs the common suffix
-- If the second call content starts with `section_start` → the section marker is actually per-call → moves `section_start/end` to `per_call_start/end` and clears the section markers
-
-**T3 — `extract_function_markers()`**: Compares function name `FUN_FIRST` vs `FUN_SECOND` (two different named functions).
-
-- Finds where the function name appears in `diff.left`
-- Extracts `function.name_prefix` from the common prefix up to the function marker, and `function.name_suffix` from after the name up to the next marker
-- Extends `name_suffix` into `diff.suffix` (to the first marker for TAG_WITH_TAGGED; to the first `{` or `[` for TAG_WITH_JSON)
-- Extracts `function.close` from after the last argument value up to the per-call/section end marker
-
-**T4 — `analyze_arguments()`** (TAG_WITH_TAGGED only):
-
-- **A1 `extract_argument_name_markers()`**: Compares `arg_name_A` vs `arg_name_B` (two different argument names).
-  - Finds shared surrounding structure → `arguments.name_prefix`, `arguments.name_suffix`
-- **A2 `extract_argument_value_markers()`**: Compares argument value `"XXXX"` vs `"YYYY"` (same arg, different value).
-  - Finds markers surrounding the value → `arguments.value_prefix`, `arguments.value_suffix`
-
-**T5 — `extract_argument_separator()`**: Compares 1 argument vs 2 arguments (same function).
-
-- Uses `until_common_prefix(diff.right, ARG_FIRST, ARG_SECOND)` to find what separates the two argument blocks
-
-**T6 — `extract_args_markers()`**: Compares 0 arguments vs 1 argument.
-
-- Uses `until_common_prefix()` and `after_common_suffix()` with the empty and single-arg JSON strings as anchors to find container markers (`arguments.start`, `arguments.end`)
-
-**T7 — `extract_call_id_markers()`**: Compares call IDs `"call00001"` vs `"call99999"`.
-
-- Determines whether function name appears in `diff.prefix` or `diff.suffix` to classify position:
-  - Function name in prefix only → `BETWEEN_FUNC_AND_ARGS` or `POST_ARGS` (further distinguished by where `{` appears)
-  - Function name in suffix only → `PRE_FUNC_NAME`
-- Extracts `call_id.prefix` and `call_id.suffix` markers around the call ID value
-- Clears `per_call_end` if it incorrectly incorporated the call ID suffix
-
-### Workarounds
-
-A workaround array in `common/chat-diff-analyzer.cpp` applies post-hoc patches after analysis. Each workaround is a lambda that inspects the template source and overrides analysis results. Current workarounds:
-
-1. **Old Qwen/DeepSeek thinking templates** — source contains `content.split('</think>')`: sets `reasoning.mode = FORCED_OPEN` with `<think>`/`</think>` markers if no reasoning was detected
-2. **Granite 3.3** — source contains specific "Write your thoughts" text: forces `TAG_BASED` reasoning with `<think>`/`</think>` and `WRAPPED_WITH_REASONING` content with `<response>`/`</response>`
-3. **Cohere Command R+** — source contains `<|CHATBOT_TOKEN|>`: sets `ALWAYS_WRAPPED` content mode if no content start is already set
-4. **Functionary 3.1** — source contains `set has_code_interpreter`: forces `PLAIN` content, specific `per_call_start/end`, clears preserved tokens to only keep Functionary-specific markers
-5. **DeepSeek-R1-Distill-Qwen** — source contains `tool▁calls▁begin` markers: overrides tool section/per-call markers with the correct Unicode block characters
-
-### Parser Building
-
-Each analyzer struct (`analyze_reasoning`, `analyze_content`, `analyze_tools`) implements `build_parser(parser_build_context&)`. They share a `parser_build_context` that carries the PEG builder, inference inputs, the pre-built reasoning parser, and a pointer to the content analyzer.
-
-#### Reasoning Parser (`analyze_reasoning::build_parser`)
-
-| Mode                              | Parser                                                              |
-|-----------------------------------|---------------------------------------------------------------------|
-| Not extracting reasoning          | `eps()`                                                             |
-| `FORCED_OPEN` or `FORCED_CLOSED`  | `reasoning(until(end)) + end` — opening tag was in the prompt       |
-| `TAG_BASED` or `TOOLS_ONLY`       | `optional(start + reasoning(until(end)) + end)`                     |
-| `DELIMITER`                       | `optional(reasoning(until(end)) + end)` — no start marker           |
-
-#### Content Parser (`analyze_content::build_parser`)
-
-| Condition                              | Parser                                                                          |
-|----------------------------------------|---------------------------------------------------------------------------------|
-| `json_schema` present                  | `reasoning + space() + content(schema(json(), "response-format", ...)) + end()` |
-| Tools present                          | Dispatches to `analyze_tools::build_parser()`                                   |
-| `ALWAYS_WRAPPED` with reasoning        | `reasoning + start + content(until(end)) + end + end()`                         |
-| `ALWAYS_WRAPPED` without reasoning     | `content(until(start)) + start + content(until(end)) + end + end()`             |
-| Default (PLAIN)                        | `reasoning + content(rest()) + end()`                                           |
-
-#### Tool Parsers (`analyze_tools::build_parser`)
-
-Dispatches by `format.mode`:
-
-**`build_tool_parser_json_native()`**: Calls `p.standard_json_tools()` which internally dispatches to:
-
-- `build_json_tools_function_is_key()` — function name is the JSON key: `{"get_weather": {...}}`
-- `build_json_tools_nested_keys()` — nested: `{"function": {"name": "X", "arguments": {...}}}`
-- `build_json_tools_flat_keys()` — flat: `{"name": "X", "arguments": {...}}`
-
-Handles content wrappers, array wrapping (`tools_array_wrapped`), parallel calls, and `parameter_order`.
-
-**`build_tool_parser_tag_json()`**: For each tool function:
-
-```text
-tool_open(name_prefix + tool_name(literal(name)) + name_suffix) +
-    call_id_section +
-    tool_args(schema(json(), tool_schema))
-  [+ function.close if non-empty]
-```
-
-Wrapped in per-call markers (with optional parallel call repetition) then optionally in section markers.
-
-**`build_tool_parser_tag_tagged()`**: For each tool function, builds one parser per argument:
-
-- String types: `tool_arg_string_value(schema(until(value_suffix), ...))`
-- JSON types: `tool_arg_json_value(schema(json(), ...))`
-- Required args are plain; optional args wrapped in `optional()`
-- Arguments joined with `space()` between consecutive parsers
-
-For closing: uses `function.close` if present; otherwise uses `peek(per_call_end)` to avoid premature close during partial streaming; falls back to `tool_close(space())` to trigger mapper callbacks.
-
-All three tool parsers return:
-
-```text
-reasoning + optional(content(until(trigger_marker))) + tool_calls + end()
-```
-
-### Python Dict Format
-
-When `format.uses_python_dicts` is true (detected when single-quoted strings appear in JSON argument context), `build_parser()` pre-registers a `json-string` rule that accepts both single-quoted and double-quoted strings. This is done before any `p.json()` call so all JSON parsing inherits the flexible rule.
-
-## Mapper
-
-`common_chat_peg_mapper` maps PEG parse results (AST nodes) into `common_chat_msg` structures. Key design:
-
-- **Buffered arguments**: Before `tool_name` is known, argument text goes to `args_buffer`; once the name is set, the buffer is flushed to `current_tool->arguments`
-- **`args_target()`**: Returns a reference to whichever destination is currently active (buffer or tool args), eliminating branching
-- **`closing_quote_pending`**: Tracks whether a closing `"` needs to be appended when a string argument value is finalized (for schema-declared string types in tagged format)
-- **Quote normalization**: Python-style quotes (`'key': 'value'`) are converted to JSON (`"key": "value"`)
-- **Brace auto-closing**: At tool close, unclosed `{` braces are closed automatically
-
-## Files
-
-| File                                      | Purpose                                                              |
-|-------------------------------------------|----------------------------------------------------------------------|
-| `common/chat-auto-parser.h`               | All analysis structs, enums, `autoparser`, `peg_generator`, `templates_params` |
-| `common/chat-auto-parser-generator.cpp`   | Parser generator: `generate_parser()` and `build_parser()` methods   |
-| `common/chat-diff-analyzer.cpp`           | Differential analysis implementation and workarounds                 |
-| `common/chat-auto-parser-helpers.h/cpp`   | `calculate_diff_split()`, `segmentize_markers()`,                    |
-|                                           | `compare_variants()`, string helpers                                 |
-| `common/chat-peg-parser.h/cpp`            | `common_chat_peg_builder`, `common_chat_peg_mapper`, and helpers     |
-| `common/chat.cpp`                         | Entry point: `common_chat_templates_apply_jinja()`                   |
-| `tools/parser/debug-template-parser.cpp`  | Debug tool for template analysis                                     |
-| `tools/parser/template-analysis.cpp`      | Template analysis tool                                               |
-
-## Testing & Debugging
-
-### Debug Tools
-
-**Template Debugger**: `tools/parser/debug-template-parser.cpp`
-
-- Usage: `./bin/llama-debug-template-parser path/to/template.jinja`
-- Shows detected format, markers, generated parser, and GBNF grammar
-
-**Template Analysis**: `tools/parser/template-analysis.cpp`
-
-- Usage: `./bin/llama-template-analysis path/to/template.jinja`
-
-**Debug Logging**: Enable with `LLAMA_LOG_VERBOSITY=2`
-
-- Shows detailed analysis steps, pattern extraction results, and generated parser structure
-
-**PEG Test Builder**: Fluent API for creating test cases — see [tests/test-chat.cpp:947-1043](tests/test-chat.cpp#L947-L1043). Example usage:
-
-```cpp
-auto tst = peg_tester("models/templates/Template.jinja");
-tst.test("input text")
-   .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-   .tools({tool_json})
-   .parallel_tool_calls(true)
-   .enable_thinking(true)
-   .expect(expected_message)
-   .run();
-```
-
-### Tested Templates
-
-The following templates have active tests in `tests/test-chat.cpp`:
-
-| Template | Format | Notes |
-| -------- | ------ | ----- |
-| Ministral-3-14B-Reasoning | Reasoning | `[THINK]...[/THINK]` tags (specialized handler) |
-| NVIDIA-Nemotron-3-Nano-30B | TAG_WITH_TAGGED | Reasoning + tools |
-| CohereForAI Command-R7B | JSON_NATIVE | `<\|START_THINKING\|>`/`<\|START_RESPONSE\|>` markers |
-| Google Gemma 2 2B | Content only | No tool support |
-| Qwen-QwQ-32B | Reasoning | Forced-open thinking |
-| NousResearch Hermes 2 Pro | JSON_NATIVE | `<tool_call>` wrapper |
-| IBM Granite 3.3 | JSON_NATIVE | `<think></think>` + `<response></response>` |
-| ByteDance Seed-OSS | TAG_WITH_TAGGED | Custom `<seed:think>` and `<seed:tool_call>` tags |
-| Qwen3-Coder | TAG_WITH_TAGGED | XML-style tool format |
-| DeepSeek V3.1 | JSON_NATIVE | Forced thinking mode |
-| GLM-4.6 | TAG_WITH_TAGGED | `<tool_call>name\n<arg_key>...<arg_value>...` format |
-| GLM-4.7-Flash | TAG_WITH_TAGGED | Updated GLM format |
-| Kimi-K2-Thinking | JSON_NATIVE | Reasoning + JSON tools |
-| Apertus-8B-Instruct | JSON_NATIVE | Function name as JSON key |
-| MiniMax-M2 | TAG_WITH_JSON | XML invoke with JSON args |
-| NVIDIA-Nemotron-Nano-v2 | JSON_NATIVE | `<TOOLCALL>` wrapper (nested) |
-| CohereForAI Command-R Plus | JSON_NATIVE | Markdown code block format |
-| Mistral-Nemo-Instruct-2407 | JSON_NATIVE | `[TOOL_CALLS]` wrapper with ID field |
-| Functionary v3.1 | TAG_WITH_JSON | `<function=X>` format |
-| Functionary v3.2 | Specialized | `>>>` recipient delimiter (dedicated handler) |
-| Fireworks Firefunction v2 | TAG_WITH_JSON | Fireworks tool format |
-| DeepSeek R1 Distill (Llama/Qwen) | Reasoning | Forced-open thinking |
-| llama-cpp-deepseek-r1 | Reasoning | Forced-open thinking |
-| Kimi-K2 / Kimi-K2-Instruct | JSON_NATIVE | JSON tools with special markers |
-| Llama 3.1/3.2/3.3 | JSON_NATIVE | Standard Llama tool format |
-| OpenAI GPT-OSS | Specialized | Channel-based (dedicated handler) |
-| Apriel 1.5 | JSON_NATIVE | `<tool_calls>` wrapper with JSON array |
-| Apriel 1.6 Thinker | Reasoning | Implicit reasoning start |
-| Mistral Small 3.2 | JSON_NATIVE | `[TOOL_CALLS]func[ARGS]{...}` with call ID |
-| Devstral | JSON_NATIVE | `[TOOL_CALLS]func[ARGS]{...}` without call ID |
-| StepFun 3.5 Flash | TAG_WITH_TAGGED | `<function=X><parameter=Y>` format |
-
-## Adding Support for New Templates
-
-To support a new template format:
-
-1. **If it follows standard patterns** — The auto-parser should detect it automatically. Run `llama-debug-template-parser` to verify markers are correctly extracted.
-2. **If differential analysis extracts incorrect markers** — Add a workaround lambda to the `workarounds` vector in `common/chat-diff-analyzer.cpp`. Inspect the template source for a unique identifying substring.
-3. **If it needs fundamentally different handling** — Add a dedicated handler function in `chat.cpp` before the auto-parser block (as done for GPT-OSS, Functionary v3.2, and Ministral).
-
-## Edge Cases and Quirks
-
-1. **Forced Thinking**: When `enable_thinking=true` and the model prompt ends with an open reasoning tag (e.g., `<think>`), the parser enters forced thinking mode and immediately expects reasoning content without waiting for a start marker.
-2. **Per-Call vs Per-Section Markers**: Some templates wrap each tool call individually (`per_call_start/end`); others wrap the entire section (`section_start/end`). T2 (`check_per_call_markers()`) disambiguates by checking if the second call in a two-call output starts with the section marker.
-3. **Python Dict Format**: The Seed template family uses single-quoted JSON (`'key': 'value'`). The `uses_python_dicts` flag causes the PEG builder to register a flexible `json-string` rule accepting both quote styles before any JSON rules are built.
-4. **Tag Boundary Fixing**: `calculate_diff_split()` iteratively adjusts prefix/suffix boundaries to avoid splitting `<tag>` or `[marker]` tokens, ensuring clean extraction.
-5. **Call ID Side Effects**: When a call ID is detected, `per_call_end` may have been incorrectly set to include the call ID suffix. T7 clears `per_call_end` in this case.
-6. **Tool Analysis Gating**: `analyze_tools` is only constructed (and all tool analysis phases run) when `jinja_caps.supports_tool_calls` is true. Within tool analysis, `check_per_call_markers()` (T2) only runs if `jinja_caps.supports_parallel_tool_calls`.
-7. **`analyze_arguments()` Gating**: Within tool analysis, A1 and A2 (argument name/value marker extraction) only run for `TAG_WITH_TAGGED` format. `extract_argument_separator()` and `extract_args_markers()` run for all non-`JSON_NATIVE` formats.
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e87705592db9ef30c7c34d60bdda973863a62f2d966a40b4bccb7a52875553e
+size 32479
diff --git a/docs/backend/CANN.md b/docs/backend/CANN.md
index 51adaaf95f5df9a5736da843f1cbe4e906b8adce..535a6460afa482e6e1d390d5baa300a54d4b59aa 100644
--- a/docs/backend/CANN.md
+++ b/docs/backend/CANN.md
@@ -1,333 +1,3 @@
-# llama.cpp for CANN
-
- - [Background](#background)
- - [News](#news)
- - [OS](#os)
- - [Hardware](#hardware)
- - [Model Supports](#model-supports)
- - [DataType Supports](#datatype-supports)
- - [Docker](#docker)
- - [Linux](#linux)
- - [Environment variable setup](#environment-variable-setup)
- - [TODO](#todo)
-
-
-## Background
-
-**Ascend NPU** is a range of AI processors using Neural Processing Unit. It will efficiently handle matrix-matrix multiplication, dot-product and scalars.
-
-**CANN** (Compute Architecture for Neural Networks) is a heterogeneous computing architecture for AI scenarios, providing support for multiple AI frameworks on the top and serving AI processors and programming at the bottom. It plays a crucial role in bridging the gap between upper and lower layers, and is a key platform for improving the computing efficiency of Ascend AI processors. Meanwhile, it offers a highly efficient and easy-to-use programming interface for diverse application scenarios, allowing users to rapidly build AI applications and services based on the Ascend platform.
-
-**Llama.cpp + CANN**
-
-The llama.cpp CANN backend is designed to support Ascend NPU. It utilize the ability of AscendC and ACLNN which are integrated to CANN Toolkit and kernels to using Ascend NPU directly.
-
-## News
-
-- 2024.11
-  - Support F16 and F32 data type model for Ascend 310P NPU.
-- 2024.8
-  - Support `Q4_0` and `Q8_0` data type for Ascend NPU.
-- 2024.7
-  - Create CANN backend for Ascend NPU.
-
-## OS
-
-| OS      | Status  | Verified                                       |
-|:-------:|:-------:|:----------------------------------------------:|
-| Linux   | Support | Ubuntu 22.04, OpenEuler22.03                   |
-
-
-## Hardware
-
-### Ascend NPU
-
-**Verified devices**
-
-| Ascend NPU                    | Status  |
-|:-----------------------------:|:-------:|
-| Atlas 300T A2                 | Support |
-| Atlas 300I Duo                | Support |
-
-*Notes:*
-
-- If you have trouble with Ascend NPU device, please create a issue with **[CANN]** prefix/tag.
-- If you run successfully with your Ascend NPU device, please help update the upper table.
-
-
-## Model Supports
-
-| Model Name                  | FP16  | Q4_0 | Q8_0 |
-|:----------------------------|:-----:|:----:|:----:|
-| Llama-2                     |   √   |   √  |   √  |
-| Llama-3                     |   √   |   √  |   √  |
-| Mistral-7B                  |   √   |   √  |   √  |
-| Mistral MOE                 |   √   |   √  |   √  |
-| DBRX                        |   -   |   -  |   -  |
-| Falcon                      |   √   |   √  |   √  |
-| Chinese LLaMA/Alpaca        |   √   |   √  |   √  |
-| Vigogne(French)             |   √   |   √  |   √  |
-| BERT                        |   x   |   x  |   x  |
-| Koala                       |   √   |   √  |   √  |
-| Baichuan                    |   √   |   √  |   √  |
-| Aquila 1 & 2                |   √   |   √  |   √  |
-| Starcoder models            |   √   |   √  |   √  |
-| Refact                      |   √   |   √  |   √  |
-| MPT                         |   √   |   √  |   √  |
-| Bloom                       |   √   |   √  |   √  |
-| Yi models                   |   √   |   √  |   √  |
-| stablelm models             |   √   |   √  |   √  |
-| DeepSeek models             |   x   |   x  |   x  |
-| Qwen models                 |   √   |   √  |   √  |
-| PLaMo-13B                   |   √   |   √  |   √  |
-| Phi models                  |   √   |   √  |   √  |
-| PhiMoE                      |   √   |   √  |   √  |
-| GPT-2                       |   √   |   √  |   √  |
-| Orion                       |   √   |   √  |   √  |
-| InternlLM2                  |   √   |   √  |   √  |
-| CodeShell                   |   √   |   √  |   √  |
-| Gemma                       |   √   |   √  |   √  |
-| Mamba                       |   √   |   √  |   √  |
-| Xverse                      |   √   |   √  |   √  |
-| command-r models            |   √   |   √  |   √  |
-| Grok-1                      |   -   |   -  |   -  |
-| SEA-LION                    |   √   |   √  |   √  |
-| GritLM-7B                   |   √   |   √  |   √  |
-| OLMo                        |   √   |   √  |   √  |
-| OLMo 2                      |   √   |   √  |   √  |
-| OLMoE                       |   √   |   √  |   √  |
-| Granite models              |   √   |   √  |   √  |
-| GPT-NeoX                    |   √   |   √  |   √  |
-| Pythia                      |   √   |   √  |   √  |
-| Snowflake-Arctic MoE        |   -   |   -  |   -  |
-| Smaug                       |   √   |   √  |   √  |
-| Poro 34B                    |   √   |   √  |   √  |
-| Bitnet b1.58 models         |   √   |   x  |   x  |
-| Flan-T5                     |   √   |   √  |   √  |
-| Open Elm models             |   x   |   √  |   √  |
-| chatGLM3-6B + ChatGLM4-9b +  GLMEdge-1.5b + GLMEdge-4b    |   √   |   √  |   √  |
-| GLM-4-0414                  |   √   |   √  |   √  |
-| SmolLM                      |   √   |   √  |   √  |
-| EXAONE-3.0-7.8B-Instruct    |   √   |   √  |   √  |
-| FalconMamba Models          |   √   |   √  |   √  |
-| Jais Models                 |   -   |   x  |   x  |
-| Bielik-11B-v2.3             |   √   |   √  |   √  |
-| RWKV-6                      |   -   |   √  |   √  |
-| QRWKV-6                     |   √   |   √  |   √  |
-| GigaChat-20B-A3B            |   x   |   x  |   x  |
-| Trillion-7B-preview         |   √   |   √  |   √  |
-| Ling models                 |   √   |   √  |   √  |
-
-
-**Multimodal**
-| Model Name                  | FP16  | Q4_0 | Q8_0 |
-|:----------------------------|:-----:|:----:|:----:|
-| LLaVA 1.5 models, LLaVA 1.6 models      |   x   |   x  |   x  |
-|  BakLLaVA                   |   √   |   √  |   √  |
-|  Obsidian                   |   √   |   -  |   -  |
-|  ShareGPT4V                 |   x   |   -  |   -  |
-|  MobileVLM 1.7B/3B models   |   -   |   -  |   -  |
-|  Yi-VL                      |   -   |   -  |   -  |
-|  Mini CPM                   |   √   |   √  |   √  |
-|  Moondream                  |   √   |   √  |   √  |
-|  Bunny                      |   √   |   -  |   -  |
-|  GLM-EDGE                   |   √   |   √  |   √  |
-|  Qwen2-VL                   |   √   |   √  |   √  |
-
-
-
-## DataType Supports
-
-| DataType               | Status  |
-|:----------------------:|:-------:|
-| FP16                   | Support |
-| Q8_0                   | Support |
-| Q4_0                   | Support |
-
-## Docker
-
-### Build Images
-You can get a image with llama.cpp in one command.
-```sh
-docker build -t llama-cpp-cann -f .devops/llama-cli-cann.Dockerfile .
-```
-
-### Run container
-
-```sh
-# Find all cards.
-npu-smi info
-
-# Select the cards that you want to use, make sure these cards are not used by someone.
-# Following using cards of device0.
-docker run --name llamacpp --device /dev/davinci0  --device /dev/davinci_manager --device /dev/devmm_svm --device /dev/hisi_hdc -v /usr/local/dcmi:/usr/local/dcmi -v /usr/local/bin/npu-smi:/usr/local/bin/npu-smi -v /usr/local/Ascend/driver/lib64/:/usr/local/Ascend/driver/lib64/ -v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info -v /PATH_TO_YOUR_MODELS/:/app/models -it llama-cpp-cann -m /app/models/MODEL_PATH -ngl 32 -p "Building a website can be done in 10 simple steps:"
-```
-
-*Notes:*
-
-- You may need to install Ascend Driver and firmware on the **host** machine *(Please refer to the [Linux configuration](#linux) for details)*.
-
-## Linux
-
-### I. Setup Environment
-
-1. **Install Ascend Driver and firmware**
-
-    ```sh
-    # create driver running user.
-    sudo groupadd -g HwHiAiUser
-    sudo useradd -g HwHiAiUser -d /home/HwHiAiUser -m HwHiAiUser -s /bin/bash
-    sudo usermod -aG HwHiAiUser $USER
-
-    # download driver from https://www.hiascend.com/hardware/firmware-drivers/community according to your system
-    # and install driver.
-    sudo sh Ascend-hdk-910b-npu-driver_x.x.x_linux-{arch}.run --full --install-for-all
-    ```
-
-    Once installed, run `npu-smi info` to check whether driver is installed successfully.
-    ```sh
-    +-------------------------------------------------------------------------------------------+
-    | npu-smi 24.1.rc2               Version: 24.1.rc2                                          |
-    +----------------------+---------------+----------------------------------------------------+
-    | NPU   Name           | Health        | Power(W)    Temp(C)           Hugepages-Usage(page)|
-    | Chip                 | Bus-Id        | AICore(%)   Memory-Usage(MB)  HBM-Usage(MB)        |
-    +======================+===============+====================================================+
-    | 2     xxx            | OK            | 64.4        51                15   / 15            |
-    | 0                    | 0000:01:00.0  | 0           1873 / 15077      0    / 32768         |
-    +======================+===============+====================================================+
-    | 5     xxx            | OK            | 64.0        52                15   / 15            |
-    | 0                    | 0000:81:00.0  | 0           1874 / 15077      0    / 32768         |
-    +======================+===============+====================================================+
-    | No running processes found in NPU 2                                                       |
-    +======================+===============+====================================================+
-    | No running processes found in NPU 5                                                       |
-    +======================+===============+====================================================+
-    ```
-
-2. **Install Ascend Firmware**
-    ```sh
-    # download driver from https://www.hiascend.com/hardware/firmware-drivers/community according to your system
-    # and install driver.
-    sudo sh Ascend-hdk-910b-npu-firmware_x.x.x.x.X.run --full
-    ```
-    If the following message appears, firmware is installed successfully.
-    ```sh
-    Firmware package installed successfully!
-    ```
-
-
-3. **Install CANN toolkit and kernels**
-
-    CANN toolkit and kernels can be obtained from the official [CANN Toolkit](https://www.hiascend.com/zh/developer/download/community/result?module=cann) page.
-
-    Please download the corresponding version that satified your system. The minimum version required is 8.0.RC2.alpha002 and here is the install command.
-    ```sh
-    pip3 install attrs numpy decorator sympy cffi pyyaml pathlib2 psutil protobuf scipy requests absl-py wheel typing_extensions
-    sh Ascend-cann-toolkit_8.0.RC2.alpha002_linux-aarch64.run --install
-    sh Ascend-cann-kernels-910b_8.0.RC2.alpha002_linux.run --install
-    ```
-
-    Set Ascend Variables:
-    ```sh
-    echo "source ~/Ascend/ascend-toolkit/set_env.sh" >> ~/.bashrc
-    source ~/.bashrc
-    ```
-
-Upon a successful installation, CANN is enabled for the available ascend devices.
-
-### II. Build llama.cpp
-
-```sh
-cmake -B build -DGGML_CANN=on -DCMAKE_BUILD_TYPE=release
-cmake --build build --config release
-```
-
-### III. Run the inference
-
-1. **Retrieve and prepare model**
-
-    You can refer to the general [*Obtaining and quantizing models*](../../README.md#obtaining-and-quantizing-models) guide for model prepration.
-
-    **Notes**:
-
-      - CANN backend only supports FP16/Q4_0/Q8_0 models currently.
-
-2. **Launch inference**
-
-    There are two device selection modes:
-
-    - Single device: Use one device target specified by the user.
-    - Multiple devices: Automatically choose the devices with the same backend.
-
-    | Device selection | Parameter                              |
-    |:----------------:|:--------------------------------------:|
-    | Single device    | --split-mode none --main-gpu DEVICE_ID |
-    | Multiple devices | --split-mode layer (default)           |
-
-    Examples:
-
-    - Use device 0:
-
-    ```sh
-    ./build/bin/llama-cli -m path_to_model -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -sm none -mg 0
-    ```
-
-    - Use multiple devices:
-
-    ```sh
-    ./build/bin/llama-cli -m path_to_model -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -sm layer
-    ```
-
-### **GitHub contribution**:
-Please add the **[CANN]** prefix/tag in issues/PRs titles to help the CANN-team check/address them without delay.
-
-## Updates
-### Basic Flash Attention Support
-The basic FA kernel with aclnnops has been added in aclnn_ops.cpp.
-Currently, the FA only supports the cases with FP16 KV tensors and NO logit softcap.
-Since the aclnn interface for flash attention cannot support the logit softcap, we will only update the quantized version in the future.
-
-Authors from Peking University: Bizhao Shi (bshi@pku.edu.cn), Yuxin Yang (yxyang@pku.edu.cn), Ruiyang Ma (ruiyang@stu.pku.edu.cn), and Guojie Luo (gluo@pku.edu.cn).
-
-We would like to thank Tuo Dai, Shanni Li, and all of the project maintainers from Huawei Technologies Co., Ltd for their help during the code development and pull request.
-
-## Environment variable setup
-
-### GGML_CANN_MEM_POOL
-
-Specifies the memory pool management strategy, Default is vmm.
-
-- vmm: Utilizes a virtual memory manager pool. If hardware support for VMM is unavailable, falls back to the legacy (leg) memory pool.
-
-- prio: Employs a priority queue-based memory pool management.
-
-- leg: Uses a fixed-size buffer pool.
-
-### GGML_CANN_DISABLE_BUF_POOL_CLEAN
-
-Controls automatic cleanup of the memory pool. This option is only effective when using the prio or leg memory pool strategies.
-
-### GGML_CANN_WEIGHT_NZ
-
-Converting the matmul weight format from ND to NZ to improve performance. Enabled by default.
-
-### GGML_CANN_ACL_GRAPH
-
-Operators are executed using ACL graph execution, rather than in op-by-op (eager) mode. Enabled by default. This option is only effective if `USE_ACL_GRAPH` was enabled at compilation time. To enable it, recompile using:
-
-```sh
-cmake -B build -DGGML_CANN=on -DCMAKE_BUILD_TYPE=release -DUSE_ACL_GRAPH=ON
-cmake --build build --config release
-```
-
-### GGML_CANN_GRAPH_CACHE_CAPACITY
-
-Maximum number of compiled CANN graphs kept in the LRU cache, default is 12. When the number of cached graphs exceeds this capacity, the least recently used graph will be evicted.
-
-### GGML_CANN_PREFILL_USE_GRAPH
-
-Enable ACL graph execution during the prefill stage, default is false. This option is only effective when FA is enabled.
-
-### GGML_CANN_OPERATOR_FUSION
-
-Enable operator fusion during computation, default is false. This option fuses compatible operators (e.g., ADD + RMS_NORM) to reduce overhead and improve performance.
+version https://git-lfs.github.com/spec/v1
+oid sha256:672571523b647380e418c15aeb52fc593baf2f16b8dcf19924cf1c4de29775e7
+size 14371
diff --git a/docs/backend/OPENVINO.md b/docs/backend/OPENVINO.md
index 2c57dc1a590b48532cd751c37b083c0bec2d71d3..3c6c426d2d182c8f7c85dcc0157969733cb317ec 100644
--- a/docs/backend/OPENVINO.md
+++ b/docs/backend/OPENVINO.md
@@ -1,343 +1,3 @@
-# OpenVINO Backend for llama.cpp
-[OpenVINO](https://docs.openvino.ai/) is an open-source toolkit for optimizing and deploying high-performance AI inference, specifically designed for Intel hardware, including CPUs, GPUs, and NPUs, in the cloud, on-premises, and on the edge.
-This document describes the [OpenVINO backend for llama.cpp](../../src/ggml-openvino), which enables hardware-accelerated inference on **Intel® CPUs, GPUs, and NPUs** while remaining compatible with the existing **GGUF model ecosystem**. The backend translates GGML compute graphs into OpenVINO graphs and leverages graph compilation, kernel fusion, and device-specific optimizations to improve inference performance on supported Intel hardware.
-
-The OpenVINO backend is implemented in `ggml/src/ggml-openvino` and provides a translation layer for core GGML operations. The OpenVINO backend replaces the standard GGML graph execution path with Intel's OpenVINO inference engine. This approach allows the same GGUF model file to run on Intel CPUs, Intel GPUs (integrated and discrete), and Intel NPUs without changes to the model or the rest of the llama.cpp stack. When a `ggml_cgraph` is dispatched to OpenVINO backend, it:
-
-- Walks the GGML graph and identifies inputs, outputs, weights, and KV cache tensors.
-- Translates the GGML operations into an `ov::Model` using OpenVINO's frontend API.
-- Compiles and caches the model for the target device.
-- Binds GGML tensor memory to OpenVINO inference tensors and runs inference.
-
-## Supported Devices
-
-OpenVINO backend supports the following hardware:
-
-- Intel CPUs
-- Intel GPUs (integrated and discrete)
-- Intel NPUs
-
-Although OpenVINO supports a wide range of [Intel hardware](https://docs.openvino.ai/2026/about-openvino/release-notes-openvino/system-requirements.html), the llama.cpp OpenVINO backend has been validated specifically on AI PCs such as the Intel® Core™ Ultra Series 1 and Series 2.
-
-## Supported Model Precisions
-
-- `FP16`
-- `BF16` (on Intel Xeon)
-- `Q8_0`
-- `Q4_0`
-- `Q4_1`
-- `Q4_K`
-- `Q4_K_M`
-- `Q5_K` (converted to Q8_0_C at runtime)
-- `Q6_K` (converted to Q8_0_C at runtime)
-
-> [!NOTE]
-> Accuracy validation and performance optimizations for quantized models are a work in progress.
-
-## Quantization Support Details
-
-### CPU and GPU
-
-- **`Q4_0`, `Q4_1`, `Q4_K_M`, `Q6_K` models are supported**
-- `Q5_K` and `Q6_K` tensors are converted to `Q8_0_C`
-
-### NPU
-
-- **Primary supported quantization scheme is `Q4_0`**
-- `Q6_K` tensors are requantized to `Q4_0_128` in general. For embedding weights, `Q6_K` tensors are requantized to `Q8_0_C` except for the token embedding matrix which is dequantized to fp16
-
-### Additional Notes
-
-- Both `Q4_0` and `Q4_1` models use `Q6_K` for the token embedding tensor and the final matmul weight tensor (often the same tensor)
-- `Q4_0` models may produce some `Q4_1` tensors if an imatrix is provided during quantization using `llama-quantize`
-- `Q4_K_M` models may include both `Q6_K` and `Q5_K` tensors (observed in Phi-3)
-
-## Validated Models
-
-The following models have been validated for functionality on Intel® Core™ Ultra Series 1 and Series 2:
-
-- [Llama-3.2-1B-Instruct-GGUF](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/)
-- [Llama-3.1-8B-Instruct](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF)
-- [microsoft/Phi-3-mini-4k-instruct-gguf](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf)
-- [Qwen/Qwen2.5-1.5B-Instruct-GGUF](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF)
-- [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B-GGUF)
-- [openbmb/MiniCPM-1B-sft-bf16](https://huggingface.co/openbmb/MiniCPM-S-1B-sft-gguf)
-- [tencent/Hunyuan-7B-Instruct](https://huggingface.co/bartowski/tencent_Hunyuan-7B-Instruct-GGUF)
-- [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.3-GGUF)
-- [bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF)
-
-## Build Instructions
-
-### Prerequisites
-
-- Linux or Windows system with Intel hardware (CPU, GPU, or NPU)
-- **For Intel GPU or NPU Usage**: Install the appropriate hardware drivers for your Intel GPU or NPU. For detailed instructions, see: [Additional Configurations for Hardware Acceleration](https://docs.openvino.ai/2025/get-started/install-openvino/configurations.html).
-
-- **Linux:**
-    - Git, CMake, and Ninja software tools are needed for building.
-    ```bash
-      sudo apt-get update
-      sudo apt-get install -y build-essential libcurl4-openssl-dev libtbb12 cmake ninja-build python3-pip curl wget tar
-    ```
-    - OpenCL
-    ```bash
-      sudo apt install ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
-    ```
-
-- **Windows:**
-  - Download and install [Microsoft Visual Studio 2022 Build Tools](https://aka.ms/vs/17/release/vs_BuildTools.exe). During installation, select the **"Desktop development with C++"** workload.
-
-  - Install required tools:
-    ```powershell
-    # Windows PowerShell
-    winget install Git.Git
-    winget install GNU.Wget
-    winget install Ninja-build.Ninja
-    ```
-
-  - Install **OpenCL** using **vcpkg**:
-    ```powershell
-    # Windows PowerShell
-    cd C:\
-    git clone https://github.com/microsoft/vcpkg
-    cd vcpkg
-    .\bootstrap-vcpkg.bat
-    .\vcpkg install opencl
-    # Optional but recommended: Integrate vcpkg with Visual Studio / CMake:
-    .\vcpkg integrate install
-    ```
-
-### 1. Install OpenVINO Runtime
-
-- Follow the guide to install OpenVINO Runtime from an archive file: [Linux](https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-archive-linux.html) | [Windows](https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-archive-windows.html)
-
-- **Linux:**
-
-    <details>
-    <summary>📦 Click to expand OpenVINO installation from an archive file on Ubuntu</summary>
-    <br>
-
-    ```bash
-    wget https://raw.githubusercontent.com/ravi9/misc-scripts/main/openvino/ov-archive-install/install-openvino-from-archive.sh
-    chmod +x install-openvino-from-archive.sh
-    ./install-openvino-from-archive.sh
-    ```
-
-    Verify OpenVINO is initialized properly:
-    ```bash
-    echo $OpenVINO_DIR
-    ```
-    </details>
-
-
-### 2. Build llama.cpp with OpenVINO Backend
-
-Clone the OpenVINO-enabled llama.cpp fork and build it:
-
-```bash
-git clone https://github.com/ggml-org/llama.cpp
-cd llama.cpp
-```
-
-- **Linux:**
-    ```bash
-    source /opt/intel/openvino/setupvars.sh
-    cmake -B build/ReleaseOV -G Ninja -DCMAKE_BUILD_TYPE=Release -DGGML_OPENVINO=ON
-    cmake --build build/ReleaseOV --parallel
-    ```
-
-- **Windows:**
-    ```cmd
-    # x64 Native Tools Command Prompt for VS 2022
-    "C:\Program Files (x86)\Intel\openvino_2026.0\setupvars.bat"
-    cmake -B build\ReleaseOV -G Ninja -DCMAKE_BUILD_TYPE=Release -DGGML_OPENVINO=ON -DLLAMA_CURL=OFF -DCMAKE_TOOLCHAIN_FILE=C:\vcpkg\scripts\buildsystems\vcpkg.cmake
-    cmake --build build\ReleaseOV --parallel
-    ```
-> [!NOTE]
-> Use `x64 Native Tools Command Prompt` for Windows build. After building, you could use either `cmd` or `PowerShell` to run the OpenVINO backend.
-
-### 3. Download Sample Model
-
-Download models for testing:
-
-```bash
-# Linux
-mkdir -p ~/models/
-wget https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf \
-     -O ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf
-
-# Windows PowerShell
-mkdir C:\models
-Invoke-WebRequest -Uri https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf -OutFile C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf
-
-# Windows Command Line
-mkdir C:\models
-curl -L https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf -o C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf
-```
-
-### 4. Run Inference with OpenVINO Backend
-
-When using the OpenVINO backend, the first inference token may have slightly higher latency due to on-the-fly conversion to the OpenVINO graph. Subsequent tokens and runs will be faster.
-
-```bash
-# If device is unset or unavailable, defaults to CPU.
-# If the system has multiple GPUs, use GPU.0 or GPU.1 to explicitly target a specific GPU.
-
-# Linux
-export GGML_OPENVINO_DEVICE=GPU
-# To run llama-simple:
-./build/ReleaseOV/bin/llama-simple -m ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf -n 50 "The story of AI is "
-# To run in chat mode:
-./build/ReleaseOV/bin/llama-cli -m ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf
-
-# Windows Command Line
-set GGML_OPENVINO_DEVICE=GPU
-# Windows PowerShell
-$env:GGML_OPENVINO_DEVICE = "GPU"
-
-# To run llama-simple
-build\ReleaseOV\bin\llama-simple.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf" -n 50 "The story of AI is "
-# To run in chat mode:
-build\ReleaseOV\bin\llama-cli.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf"
-
-```
-> [!NOTE]
-> On systems with multiple GPUs, use `GPU.0` or `GPU.1` to explicitly target specific GPU. See [OpenVINO GPU Device](https://docs.openvino.ai/2026/openvino-workflow/running-inference/inference-devices-and-modes/gpu-device.html) for more details.
-
-
-### Docker Build
-
-You can build and run llama.cpp with OpenVINO backend using Docker.
-
-```bash
-# Build the base runtime image with compiled shared libraries and minimal dependencies.
-docker build -t llama-openvino:base -f .devops/openvino.Dockerfile .
-
-# Build the complete image with all binaries, Python tools, gguf-py library, and model conversion utilities.
-docker build --target=full -t llama-openvino:full -f .devops/openvino.Dockerfile .
-
-# Build a minimal CLI-only image containing just the llama-cli executable.
-docker build --target=light -t llama-openvino:light -f .devops/openvino.Dockerfile .
-
-# Builds a server-only image with llama-server executable, health check endpoint, and REST API support.
-docker build --target=server -t llama-openvino:server -f .devops/openvino.Dockerfile .
-
-# If you are behind a proxy:
-docker build --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy --target=light -t llama-openvino:light -f .devops/openvino.Dockerfile .
-```
-
-Run llama.cpp with OpenVINO backend Docker container.
-Save sample models in `~/models` as [shown above](#3-download-sample-model). It will be mounted to the container in the examples below.
-
-```bash
-#  Run Docker container
-docker run --rm -it -v ~/models:/models llama-openvino:light --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf
-
-# With Intel GPU access (iGPU or dGPU)
-docker run --rm -it -v ~/models:/models \
---device=/dev/dri --group-add=$(stat -c "%g" /dev/dri/render* | head -n 1) -u $(id -u):$(id -g) \
-llama-openvino:light --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf
-
-# With Intel NPU access
-docker run --rm -it --env GGML_OPENVINO_DEVICE=NPU -v ~/models:/models \
---device=/dev/accel --group-add=$(stat -c "%g" /dev/dri/render* | head -n 1) -u $(id -u):$(id -g) \
-llama-openvino:light --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf
-```
-
-Run Llama.cpp Server with OpenVINO Backend:
-```bash
-# Run the Server Docker container
-docker run --rm -it -p 8080:8080 -v ~/models:/models llama-openvino:server --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf
-
-# In a NEW terminal, test the server with curl
-
-# If you are behind a proxy, make sure to set NO_PROXY to avoid proxy for localhost
-export NO_PROXY=localhost,127.0.0.1
-
-# Test health endpoint
-curl -f http://localhost:8080/health
-
-# Test with a simple prompt
-curl -X POST "http://localhost:8080/v1/chat/completions" -H "Content-Type: application/json" \
- -d '{"messages":[{"role":"user","content":"Write a poem about OpenVINO"}],"max_tokens":100}' | jq .
-```
-
-## Runtime Configuration
-
-The OpenVINO backend can be configured using the following environment variables at runtime to control device selection, caching, debugging, and profiling behavior.
-
-### Configuration Options
-
-| Variable                          | Default    | Description                                                                                                 |
-|-----------------------------------|------------|-------------------------------------------------------------------------------------------------------------|
-| `GGML_OPENVINO_DEVICE`            | `CPU`      | Specify the target device (CPU, GPU, NPU). On systems with multiple GPUs, use `GPU.0` or `GPU.1` to explicitly target specific GPU. See [OpenVINO GPU Device](https://docs.openvino.ai/2026/openvino-workflow/running-inference/inference-devices-and-modes/gpu-device.html). When set to **NPU**, static compilation mode is enabled for optimal performance. |
-| `GGML_OPENVINO_CACHE_DIR`         | `not set`  | Directory for OpenVINO model caching (recommended: `/tmp/ov_cache`). Enables model caching when set. **Not supported on NPU devices.** |
-| `GGML_OPENVINO_PREFILL_CHUNK_SIZE`| `256`      | Token chunk size for **NPU** prefill.                                                                       |
-| `GGML_OPENVINO_STATEFUL_EXECUTION`| `0`        | Enable stateful KV cache on for better performance. Recommended on CPU, GPU.                                |
-| `GGML_OPENVINO_PROFILING`         | `0`        | Enable execution-time profiling.                                                                            |
-| `GGML_OPENVINO_DUMP_CGRAPH`       | `0`        | Dump the GGML compute graph to `cgraph_ov.txt`.                                                             |
-| `GGML_OPENVINO_DUMP_IR`           | `0`        | Serialize OpenVINO IR files with timestamps.                                                                |
-| `GGML_OPENVINO_DEBUG_INPUT`       | `0`        | Enable input debugging and print input tensor info.                                                         |
-| `GGML_OPENVINO_DEBUG_OUTPUT`      | `0`        | Enable output debugging and print output tensor info.                                                       |
-| `GGML_OPENVINO_PRINT_CGRAPH_TENSOR_ADDRESS` | `0` | Print tensor address map once.                                                                           |
-
-> [!NOTE]
->`GGML_OPENVINO_STATEFUL_EXECUTION` is an **Experimental** feature to allow stateful execution for managing the KV cache internally inside the OpenVINO model, improving performance on CPUs and GPUs. Stateful execution is not effective on NPUs, and not all models currently support this feature. This feature is experimental and has been validated only with the llama-simple, llama-cli, llama-bench, and llama-run applications and is recommended to enable for the best performance. Other applications, such as llama-server and llama-perplexity, are not yet supported.
-
-### Example Usage
-
-#### GPU Inference with Profiling
-
-```bash
-# If the system has multiple GPUs, use GPU.0 or GPU.1 to explicitly target a specific GPU.
-
-# Linux
-export GGML_OPENVINO_CACHE_DIR=/tmp/ov_cache
-export GGML_OPENVINO_PROFILING=1
-export GGML_OPENVINO_DEVICE=GPU
-
-./build/ReleaseOV/bin/llama-simple -m ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf -n 50 "The story of AI is "
-
-# Windows Command Line
-set GGML_OPENVINO_CACHE_DIR=C:\tmp\ov_cache
-set GGML_OPENVINO_PROFILING=1
-set GGML_OPENVINO_DEVICE=GPU
-
-# Windows PowerShell
-$env:GGML_OPENVINO_CACHE_DIR = "C:\tmp\ov_cache"
-$env:GGML_OPENVINO_PROFILING = "1"
-$env:GGML_OPENVINO_DEVICE = "GPU"
-
-build\ReleaseOV\bin\llama-simple.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf" -n 50 "The story of AI is "
-
-```
-
-#### llama-bench
-
-```bash
-# -fa 1 is required when running llama-bench with the OpenVINO backend.
-GGML_OPENVINO_DEVICE=GPU ./llama-bench -fa 1
-```
-
-### NPU Notes
-
-- Model caching is not yet supported
-- Does not support llama-server -np > 1 (multiple parallel sequences)
-- Only supports llama-perplexity -b 512 or smaller
-
-## Llama.cpp Tools
-
-The following tools work with the OpenVINO backend on CPU, GPU, NPU:
-- llama-simple
-- llama-run
-- llama-cli
-- llama-server
-- llama-bench
-- llama-perplexity
-
-## Work in Progress
-
-- Performance and memory optimizations
-- Accuracy validation
-- Broader quantization coverage
-- Support for additional model architectures
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f459acea0a93699695f970bf9a6042a01ed4f8d1d90ee29f987db7a31e61250
+size 20401
diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md
index 7fb78eae37013577d5b6e3ddd68ce950ec5230f4..39a33c71571ded4cf8b76649481818e0e7c264bc 100644
--- a/docs/backend/SYCL.md
+++ b/docs/backend/SYCL.md
@@ -1,794 +1,3 @@
-# llama.cpp for SYCL
-
-- [Background](#background)
-- [Recommended Release](#recommended-release)
-- [News](#news)
-- [OS](#os)
-- [Hardware](#hardware)
-- [Docker](#docker)
-- [Linux](#linux)
-- [Windows](#windows)
-- [Environment Variable](#environment-variable)
-- [Design Rule](#design-rule)
-- [Known Issue](#known-issues)
-- [Q&A](#qa)
-- [TODO](#todo)
-
-## Background
-
-**SYCL** is a high-level parallel programming model designed to improve developers productivity writing code across various hardware accelerators such as CPUs, GPUs, and FPGAs. It is a single-source language designed for heterogeneous computing and based on standard C++17.
-
-**oneAPI** is an open ecosystem and a standard-based specification, supporting multiple architectures including but not limited to Intel CPUs, GPUs and FPGAs. The key components of the oneAPI ecosystem include:
-
-- **DPCPP** *(Data Parallel C++)*: The primary oneAPI SYCL implementation, which includes the icpx/icx Compilers.
-- **oneAPI Libraries**: A set of highly optimized libraries targeting multiple domains *(e.g. Intel oneMKL, oneMath and oneDNN)*.
-- **oneAPI LevelZero**: A high performance low level interface for fine-grained control over Intel iGPUs and dGPUs.
-
-### Llama.cpp + SYCL
-
-The llama.cpp SYCL backend is primarily designed for **Intel GPUs**.
-SYCL cross-platform capabilities enable support for other vendor GPUs as well.
-
-## Recommended Release
-
-The following releases are verified and recommended:
-
-|Commit ID|Tag|Release|Verified  Platform| Update date|
-|-|-|-|-|-|
-|24e86cae7219b0f3ede1d5abdf5bf3ad515cccb8|b5377 |[llama-b5377-bin-win-sycl-x64.zip](https://github.com/ggml-org/llama.cpp/releases/download/b5377/llama-b5377-bin-win-sycl-x64.zip) |Arc B580/Linux/oneAPI 2025.1<br>LNL Arc GPU/Windows 11/oneAPI 2025.1.1|2025-05-15|
-|3bcd40b3c593d14261fb2abfabad3c0fb5b9e318|b4040 |[llama-b4040-bin-win-sycl-x64.zip](https://github.com/ggml-org/llama.cpp/releases/download/b4040/llama-b4040-bin-win-sycl-x64.zip) |Arc A770/Linux/oneAPI 2024.1<br>MTL Arc GPU/Windows 11/oneAPI 2024.1| 2024-11-19|
-|fb76ec31a9914b7761c1727303ab30380fd4f05c|b3038 |[llama-b3038-bin-win-sycl-x64.zip](https://github.com/ggml-org/llama.cpp/releases/download/b3038/llama-b3038-bin-win-sycl-x64.zip) |Arc A770/Linux/oneAPI 2024.1<br>MTL Arc GPU/Windows 11/oneAPI 2024.1||
-
-
-## News
-
-- 2026.03
-  - Support Flash-Attention: less memory usage, performance impact depends on LLM.
-
-- 2026.02
-  - Remove support for Nvidia & AMD GPU, because the oneAPI plugin for Nvidia & AMD GPU is unavailable: download/installation channels are out of work. User can't build up the software for Nvidia & AMD GPU.
-
-- 2025.11
-  - Support malloc memory on device more than 4GB.
-
-- 2025.2
-  - Optimize MUL_MAT Q4_0 on Intel GPU for all dGPUs and built-in GPUs since MTL. Increase the performance of LLM (llama-2-7b.Q4_0.gguf) 21%-87% on Intel GPUs (MTL, ARL-H, Arc, Flex, PVC).
-    |GPU|Base tokens/s|Increased tokens/s|Percent|
-    |-|-|-|-|
-    |PVC 1550|39|73|+87%|
-    |Flex 170|39|50|+28%|
-    |Arc A770|42|55|+30%|
-    |MTL|13|16|+23%|
-    |ARL-H|14|17|+21%|
-
-- 2024.11
-  - Use syclcompat to improve the performance on some platforms. This requires to use oneAPI 2025.0 or newer.
-
-- 2024.8
-  - Use oneDNN as the default GEMM library, improve the compatibility for new Intel GPUs.
-
-- 2024.5
-  - Performance is increased: 34 -> 37 tokens/s of llama-2-7b.Q4_0 on Arc A770.
-  - Arch Linux is verified successfully.
-
-- 2024.4
-  - Support data types: GGML_TYPE_IQ4_NL, GGML_TYPE_IQ4_XS, GGML_TYPE_IQ3_XXS, GGML_TYPE_IQ3_S, GGML_TYPE_IQ2_XXS, GGML_TYPE_IQ2_XS, GGML_TYPE_IQ2_S, GGML_TYPE_IQ1_S, GGML_TYPE_IQ1_M.
-
-- 2024.3
-  - Release binary files of Windows.
-  - A blog is published: **Run LLM on all Intel GPUs Using llama.cpp**: [intel.com](https://www.intel.com/content/www/us/en/developer/articles/technical/run-llm-on-all-gpus-using-llama-cpp-artical.html) or [medium.com](https://medium.com/@jianyu_neo/run-llm-on-all-intel-gpus-using-llama-cpp-fd2e2dcbd9bd).
-  - New base line is ready: [tag b2437](https://github.com/ggml-org/llama.cpp/tree/b2437).
-  - Support multiple cards: **--split-mode**: [none|layer]; not support [row], it's on developing.
-  - Support to assign main GPU by **--main-gpu**, replace $GGML_SYCL_DEVICE.
-  - Support detecting all GPUs with level-zero and same top **Max compute units**.
-  - Support OPs
-    - hardsigmoid
-    - hardswish
-    - pool2d
-
-- 2024.1
-  - Create SYCL backend for Intel GPU.
-  - Support Windows build
-
-## OS
-
-| OS      | Status  | Verified                                       |
-|---------|---------|------------------------------------------------|
-| Linux   | Support | Ubuntu 22.04, Fedora Silverblue 39, Arch Linux |
-| Windows | Support | Windows 11                                     |
-
-
-## Hardware
-
-### Intel GPU
-
-SYCL backend supports Intel GPU Family:
-
-- Intel Data Center Max Series
-- Intel Flex Series, Arc Series
-- Intel Built-in Arc GPU
-- Intel iGPU in Core CPU (11th Generation Core CPU and newer, refer to [oneAPI supported GPU](https://www.intel.com/content/www/us/en/developer/articles/system-requirements/intel-oneapi-base-toolkit-system-requirements.html#inpage-nav-1-1)).
-
-On older Intel GPUs, you may try [OpenCL](/docs/backend/OPENCL.md) although the performance is not optimal, and some GPUs may not support OpenCL nor have any GPGPU capabilities.
-
-#### Verified devices
-
-| Intel GPU                     | Status  | Verified Model                        |
-|-------------------------------|---------|---------------------------------------|
-| Intel Data Center Max Series  | Support | Max 1550, 1100                        |
-| Intel Data Center Flex Series | Support | Flex 170                              |
-| Intel Arc A-Series            | Support | Arc A770, Arc A730M, Arc A750         |
-| Intel Arc B-Series            | Support | Arc B580                              |
-| Intel built-in Arc GPU        | Support | built-in Arc GPU in Meteor Lake, Arrow Lake, Lunar Lake |
-| Intel iGPU                    | Support | iGPU in 13700k, 13400, i5-1250P, i7-1260P, i7-1165G7  |
-
-*Notes:*
-
-- **Memory**
-  - The device memory is a limitation when running a large model. The loaded model size, *`llm_load_tensors: buffer_size`*, is displayed in the log when running `./bin/llama-completion`.
-  - Please make sure the GPU shared memory from the host is large enough to account for the model's size. For e.g. the *llama-2-7b.Q4_0* requires at least 8.0GB for integrated GPU and 4.0GB for discrete GPU.
-
-- **Execution Unit (EU)**
-  - If the iGPU has less than 80 EUs, the inference speed will likely be too slow for practical use.
-
-### Other Vendor GPU
-
-NA
-
-## Docker
-
-The docker build option is currently limited to *Intel GPU* targets.
-
-### Build image
-
-```sh
-# Using FP32
-docker build -t llama-cpp-sycl --build-arg="GGML_SYCL_F16=OFF" --target light -f .devops/intel.Dockerfile .
-
-# Using FP16
-docker build -t llama-cpp-sycl --build-arg="GGML_SYCL_F16=ON" --target light -f .devops/intel.Dockerfile .
-```
-
-*Notes*:
-
-You can also use the `.devops/llama-server-intel.Dockerfile`, which builds the *"server"* alternative.
-Check the [documentation for Docker](../docker.md) to see the available images.
-
-### Run container
-
-```sh
-# First, find all the DRI cards
-ls -la /dev/dri
-# Then, pick the card that you want to use (here for e.g. /dev/dri/card1).
-docker run -it --rm -v "/path/to/models:/models" --device /dev/dri/renderD128:/dev/dri/renderD128 --device /dev/dri/card0:/dev/dri/card0 llama-cpp-sycl -m /models/7B/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -c 4096 -s 0
-```
-
-*Notes:*
-- Docker has been tested successfully on native Linux. WSL support has not been verified yet.
-- You may need to install Intel GPU driver on the **host** machine *(Please refer to the [Linux configuration](#linux) for details)*.
-
-## Linux
-
-### I. Setup Environment
-
-1. **Install GPU drivers**
-
-  - **Intel GPU**
-
-Intel data center GPUs drivers installation guide and download page can be found here: [Get intel dGPU Drivers](https://dgpu-docs.intel.com/driver/installation.html#ubuntu-install-steps).
-
-*Note*: for client GPUs *(iGPU & Arc A-Series)*, please refer to the [client iGPU driver installation](https://dgpu-docs.intel.com/driver/client/overview.html).
-
-Once installed, add the user(s) to the `video` and `render` groups.
-
-```sh
-sudo usermod -aG render $USER
-sudo usermod -aG video $USER
-```
-
-*Note*: logout/re-login for the changes to take effect.
-
-Verify installation through `clinfo`:
-
-```sh
-sudo apt install clinfo
-sudo clinfo -l
-```
-
-Sample output:
-
-```sh
-Platform #0: Intel(R) OpenCL Graphics
- `-- Device #0: Intel(R) Arc(TM) A770 Graphics
-
-Platform #0: Intel(R) OpenCL HD Graphics
- `-- Device #0: Intel(R) Iris(R) Xe Graphics [0x9a49]
-```
-
-2. **Install Intel® oneAPI Base toolkit**
-
-SYCL backend depends on:
-  - Intel® oneAPI DPC++/C++ compiler/running-time.
-  - Intel® oneAPI DPC++/C++ library (oneDPL).
-  - Intel® oneAPI Deep Neural Network Library (oneDNN).
-  - Intel® oneAPI Math Kernel Library (oneMKL).
-
-- **For Intel GPU**
-
-All above are included in both **Intel® oneAPI Base toolkit** and **Intel® Deep Learning Essentials** packages.
-
-It's recommended to install **Intel® Deep Learning Essentials** which only provides the necessary libraries with less size.
-
-The **Intel® oneAPI Base toolkit** and **Intel® Deep Learning Essentials** can be obtained from the official [Intel® oneAPI Base Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) page.
-
-Please follow the instructions for downloading and installing the Toolkit for Linux, and preferably keep the default installation values unchanged, notably the installation path *(`/opt/intel/oneapi` by default)*.
-
-Following guidelines/code snippets assume the default installation values. Otherwise, please make sure the necessary changes are reflected where applicable.
-
-Upon a successful installation, SYCL is enabled for the available intel devices, along with relevant libraries such as oneAPI oneDNN for Intel GPUs.
-
-|Verified release|
-|-|
-|2025.2.1|
-|2025.1|
-|2024.1|
-
-3. **Verify installation and environment**
-
-In order to check the available SYCL devices on the machine, please use the `sycl-ls` command.
-```sh
-source /opt/intel/oneapi/setvars.sh
-sycl-ls
-```
-
-- **Intel GPU**
-
-When targeting an intel GPU, the user should expect one or more devices among the available SYCL devices. Please make sure that at least one GPU is present via `sycl-ls`, for instance `[level_zero:gpu]` in the sample output below:
-
-```
-[level_zero:gpu][level_zero:0] Intel(R) oneAPI Unified Runtime over Level-Zero, Intel(R) Arc(TM) A770 Graphics 12.55.8 [1.3.29735+27]
-[level_zero:gpu][level_zero:1] Intel(R) oneAPI Unified Runtime over Level-Zero, Intel(R) UHD Graphics 730 12.2.0 [1.3.29735+27]
-[opencl:cpu][opencl:0] Intel(R) OpenCL, 13th Gen Intel(R) Core(TM) i5-13400 OpenCL 3.0 (Build 0) [2025.20.8.0.06_160000]
-[opencl:gpu][opencl:1] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics OpenCL 3.0 NEO  [24.39.31294]
-[opencl:gpu][opencl:2] Intel(R) OpenCL Graphics, Intel(R) UHD Graphics 730 OpenCL 3.0 NEO  [24.39.31294]
-```
-
-### II. Build llama.cpp
-
-#### Intel GPU
-
-```sh
-./examples/sycl/build.sh
-```
-
-or
-
-```sh
-# Export relevant ENV variables
-source /opt/intel/oneapi/setvars.sh
-
-# Option 1: Use FP32 (recommended for better performance in most cases)
-cmake -B build -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
-
-# Option 2: Use FP16
-cmake -B build -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
-
-# build all binary
-cmake --build build --config Release -j -v
-```
-
-It is possible to come across some precision issues when running tests that stem from using faster
-instructions, which can be circumvented by setting the environment variable `SYCL_PROGRAM_COMPILE_OPTIONS`
-as `-cl-fp32-correctly-rounded-divide-sqrt`
-
-### III. Run the inference
-
-#### Retrieve and prepare model
-
-You can refer to the general [*Obtaining and quantizing models*](../../README.md#obtaining-and-quantizing-models) guide for model preparation, or download an already quantized model like [llama-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-7B-GGUF/resolve/main/llama-2-7b.Q4_0.gguf?download=true) or [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/aptha/Meta-Llama-3-8B-Instruct-Q4_0-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf).
-
-##### Check device
-
-1. Enable oneAPI running environment
-
-```sh
-source /opt/intel/oneapi/setvars.sh
-```
-
-2. List devices information
-
-Similar to the native `sycl-ls`, available SYCL devices can be queried as follow:
-
-```sh
-./build/bin/llama-ls-sycl-device
-```
-
-This command will only display the selected backend that is supported by SYCL. The default backend is level_zero. For example, in a system with 2 *intel GPU* it would look like the following:
-```
-found 2 SYCL devices:
-
-|  |                  |                                             |Compute   |Max compute|Max work|Max sub|               |
-|ID|       Device Type|                                         Name|capability|units      |group   |group  |Global mem size|
-|--|------------------|---------------------------------------------|----------|-----------|--------|-------|---------------|
-| 0|[level_zero:gpu:0]|               Intel(R) Arc(TM) A770 Graphics|       1.3|        512|    1024|     32|    16225243136|
-| 1|[level_zero:gpu:1]|                    Intel(R) UHD Graphics 770|       1.3|         32|     512|     32|    53651849216|
-```
-
-#### Choose level-zero devices
-
-|Chosen Device ID|Setting|
-|-|-|
-|0|`export ONEAPI_DEVICE_SELECTOR="level_zero:0"` or no action|
-|1|`export ONEAPI_DEVICE_SELECTOR="level_zero:1"`|
-|0 & 1|`export ONEAPI_DEVICE_SELECTOR="level_zero:0;level_zero:1"`|
-
-#### Execute
-
-Choose one of following methods to run.
-
-1. Script
-
-- Use device 0:
-
-```sh
-./examples/sycl/test.sh -mg 0
-```
-- Use multiple devices:
-
-```sh
-./examples/sycl/test.sh
-```
-
-2. Command line
-Launch inference
-
-There are two device selection modes:
-
-- Single device: Use one device assigned by user. Default device id is 0.
-- Multiple devices: Automatically choose the devices with the same backend.
-
-In two device selection modes, the default SYCL backend is level_zero, you can choose other backend supported by SYCL by setting environment variable ONEAPI_DEVICE_SELECTOR.
-
-| Device selection | Parameter                              |
-|------------------|----------------------------------------|
-| Single device    | --split-mode none --main-gpu DEVICE_ID |
-| Multiple devices | --split-mode layer (default)           |
-
-Examples:
-
-- Use device 0:
-
-```sh
-ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -no-cnv -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 99 -sm none -mg 0 --mmap
-```
-
-- Use multiple devices:
-
-```sh
-ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -no-cnv -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 99 -sm layer --mmap
-```
-
-*Notes:*
-
-- Upon execution, verify the selected device(s) ID(s) in the output log, which can for instance be displayed as follow:
-
-```sh
-detect 1 SYCL GPUs: [0] with top Max compute units:512
-```
-Or
-```sh
-use 1 SYCL GPUs: [0] with Max compute units:512
-```
-
-## Windows
-
-### Install GPU driver
-
-Intel GPU drivers instructions guide and download page can be found here: [Get Intel GPU Drivers](https://www.intel.com/content/www/us/en/products/docs/discrete-gpus/arc/software/drivers.html).
-
-### Option 1: download the binary package directly
-
-Download the binary package for Windows from: https://github.com/ggml-org/llama.cpp/releases.
-
-Extract the package to local folder, run the llama tools directly. Refer to [Run the inference](#iii-run-the-inference-1).
-
-Note, the package includes the SYCL running time and all depended dll files, no need to install oneAPI package and activte them.
-
-### Option 2: build locally from the source code.
-
-#### I. Setup environment
-
-1. Install Visual Studio
-
-If you already have a recent version of Microsoft Visual Studio, you can skip this step. Otherwise, please refer to the official download page for [Microsoft Visual Studio](https://visualstudio.microsoft.com/).
-
-2. Install Intel® oneAPI Base toolkit
-
-SYCL backend depends on:
-  - Intel® oneAPI DPC++/C++ compiler/running-time.
-  - Intel® oneAPI DPC++/C++ library (oneDPL).
-  - Intel® oneAPI Deep Neural Network Library (oneDNN).
-  - Intel® oneAPI Math Kernel Library (oneMKL).
-
-All above are included in both **Intel® oneAPI Base toolkit** and **Intel® Deep Learning Essentials** packages.
-
-It's recommended to install **Intel® Deep Learning Essentials** which only provides the necessary libraries with less size.
-
-The **Intel® oneAPI Base toolkit** and **Intel® Deep Learning Essentials** can be obtained from the official [Intel® oneAPI Base Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) page.
-
-Please follow the instructions for downloading and installing the Toolkit for Windows, and preferably keep the default installation values unchanged, notably the installation path *(`C:\Program Files (x86)\Intel\oneAPI` by default)*.
-
-Following guidelines/code snippets assume the default installation values. Otherwise, please make sure the necessary changes are reflected where applicable.
-
-b. Enable oneAPI running environment:
-
-- Type "oneAPI" in the search bar, then open the `Intel oneAPI command prompt for Intel 64 for Visual Studio 2022` App.
-
-- On the command prompt, enable the runtime environment with the following:
-```
-"C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64
-```
-
-- if you are using Powershell, enable the runtime environment with the following:
-
-```
-cmd.exe "/K" '"C:\Program Files (x86)\Intel\oneAPI\setvars.bat" && powershell'
-```
-
-c. Verify installation
-
-In the oneAPI command line, run the following to print the available SYCL devices:
-
-```
-sycl-ls.exe
-```
-
-There should be one or more *level-zero* GPU devices displayed as **[ext_oneapi_level_zero:gpu]**. Below is example of such output detecting an *intel Iris Xe* GPU as a Level-zero SYCL device:
-
-Output (example):
-```
-[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device OpenCL 1.2  [2023.16.10.0.17_160000]
-[opencl:cpu:1] Intel(R) OpenCL, 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz OpenCL 3.0 (Build 0) [2023.16.10.0.17_160000]
-[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Iris(R) Xe Graphics OpenCL 3.0 NEO  [31.0.101.5186]
-[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Iris(R) Xe Graphics 1.3 [1.3.28044]
-```
-
-3. Install build tools
-
-a. Download & install cmake for Windows: https://cmake.org/download/ (CMake can also be installed from Visual Studio Installer)
-b. The new Visual Studio will install Ninja as default. (If not, please install it manually: https://ninja-build.org/)
-
-
-#### II. Build llama.cpp
-
-You could download the release package for Windows directly, which including binary files and depended oneAPI dll files.
-
-Choose one of following methods to build from source code.
-
-##### Option 1: Script
-
-```sh
-.\examples\sycl\win-build-sycl.bat
-```
-
-##### Option 2: CMake
-
-On the oneAPI command line window, step into the llama.cpp main directory and run the following:
-
-```
-@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
-
-# Option 1: Use FP32 (recommended for better performance in most cases)
-cmake -B build -G "Ninja" -DGGML_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release
-
-# Option 2: Or FP16
-cmake -B build -G "Ninja" -DGGML_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release -DGGML_SYCL_F16=ON
-
-cmake --build build --config Release -j
-```
-
-Or, use CMake presets to build:
-
-```sh
-cmake --preset x64-windows-sycl-release
-cmake --build build-x64-windows-sycl-release -j --target llama-completion
-
-cmake -DGGML_SYCL_F16=ON --preset x64-windows-sycl-release
-cmake --build build-x64-windows-sycl-release -j --target llama-completion
-
-cmake --preset x64-windows-sycl-debug
-cmake --build build-x64-windows-sycl-debug -j --target llama-completion
-```
-
-##### Option 3: Visual Studio
-
-You have two options to use Visual Studio to build llama.cpp:
-- As CMake Project using CMake presets.
-- Creating a Visual Studio solution to handle the project.
-
-**Note**:
-
-All following commands are executed in PowerShell.
-
-###### - Open as a CMake Project
-
-You can use Visual Studio to open the `llama.cpp` folder directly as a CMake project. Before compiling, select one of the SYCL CMake presets:
-
-- `x64-windows-sycl-release`
-
-- `x64-windows-sycl-debug`
-
-*Notes:*
-- For a minimal experimental setup, you can build only the inference executable using:
-
-    ```Powershell
-    cmake --build build --config Release -j --target llama-completion
-    ```
-
-###### - Generating a Visual Studio Solution
-
-You can use Visual Studio solution to build and work on llama.cpp on Windows. You need to convert the CMake Project into a `.sln` file.
-
-If you want to use the Intel C++ Compiler for the entire `llama.cpp` project, run the following command:
-
-```Powershell
-cmake -B build -G "Visual Studio 17 2022" -T "Intel C++ Compiler 2025" -A x64 -DGGML_SYCL=ON -DCMAKE_BUILD_TYPE=Release
-```
-
-If you prefer to use the Intel C++ Compiler only for `ggml-sycl`, ensure that `ggml` and its backend libraries are built as shared libraries ( i.e. `-DBUILD_SHARED_LIBRARIES=ON`, this is default behaviour):
-
-```Powershell
-cmake -B build -G "Visual Studio 17 2022" -A x64 -DGGML_SYCL=ON -DCMAKE_BUILD_TYPE=Release \
-      -DSYCL_INCLUDE_DIR="C:\Program Files (x86)\Intel\oneAPI\compiler\latest\include" \
-      -DSYCL_LIBRARY_DIR="C:\Program Files (x86)\Intel\oneAPI\compiler\latest\lib"
-```
-
-If successful the build files have been written to: *path/to/llama.cpp/build*
-Open the project file **build/llama.cpp.sln** with Visual Studio.
-
-Once the Visual Studio solution is created, follow these steps:
-
-1. Open the solution in Visual Studio.
-
-2. Right-click on `ggml-sycl` and select **Properties**.
-
-3. In the left column, expand **C/C++** and select **DPC++**.
-
-4. In the right panel, find **Enable SYCL Offload** and set it to `Yes`.
-
-5. Apply the changes and save.
-
-
-*Navigation Path:*
-
-```
-Properties -> C/C++ -> DPC++ -> Enable SYCL Offload (Yes)
-```
-
-Now, you can build `llama.cpp` with the SYCL backend as a Visual Studio project.
-To do it from menu: `Build -> Build Solution`.
-Once it is completed, final results will be in **build/Release/bin**
-
-*Additional Note*
-
-- You can avoid specifying `SYCL_INCLUDE_DIR` and `SYCL_LIBRARY_DIR` in the CMake command by setting the environment variables:
-
-    - `SYCL_INCLUDE_DIR_HINT`
-
-    - `SYCL_LIBRARY_DIR_HINT`
-
-- Above instruction has been tested with Visual Studio 17 Community edition and oneAPI 2025.0. We expect them to work also with future version if the instructions are adapted accordingly.
-
-### III. Run the inference
-
-#### Retrieve and prepare model
-
-You can refer to the general [*Obtaining and quantizing models*](../../README.md#obtaining-and-quantizing-models) guide for model preparation, or download an already quantized model like [llama-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-7B-GGUF/blob/main/llama-2-7b.Q4_0.gguf) or [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/aptha/Meta-Llama-3-8B-Instruct-Q4_0-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf).
-
-##### Check device
-
-1. Enable oneAPI running environment
-
-On the oneAPI command line window, run the following and step into the llama.cpp directory:
-```
-"C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64
-```
-
-2. List devices information
-
-Similar to the native `sycl-ls`, available SYCL devices can be queried as follow:
-
-```
-build\bin\llama-ls-sycl-device.exe
-```
-
-This command will only display the selected backend that is supported by SYCL. The default backend is level_zero. For example, in a system with 2 *Intel GPU* it would look like the following:
-```
-found 2 SYCL devices:
-|  |                  |                                             |Compute   |Max compute|Max work|Max sub|               |
-|ID|       Device Type|                                         Name|capability|units      |group   |group  |Global mem size|
-|--|------------------|---------------------------------------------|----------|-----------|--------|-------|---------------|
-| 0|[level_zero:gpu:0]|               Intel(R) Arc(TM) A770 Graphics|       1.3|        512|    1024|     32|    16225243136|
-| 1|[level_zero:gpu:1]|                    Intel(R) UHD Graphics 770|       1.3|         32|     512|     32|    53651849216|
-
-```
-
-##### Choose level-zero devices
-
-|Chosen Device ID|Setting|
-|-|-|
-|0|Default option. You may also want to `set ONEAPI_DEVICE_SELECTOR="level_zero:0"`|
-|1|`set ONEAPI_DEVICE_SELECTOR="level_zero:1"`|
-|0 & 1|`set ONEAPI_DEVICE_SELECTOR="level_zero:0;level_zero:1"` or `set ONEAPI_DEVICE_SELECTOR="level_zero:*"`|
-
-##### Execute
-
-Choose one of following methods to run.
-
-1. Script
-
-```
-examples\sycl\win-test.bat
-```
-
-2. Command line
-
-Launch inference
-
-There are two device selection modes:
-
-- Single device: Use one device assigned by user. Default device id is 0.
-- Multiple devices: Automatically choose the devices with the same backend.
-
-In two device selection modes, the default SYCL backend is level_zero, you can choose other backend supported by SYCL by setting environment variable ONEAPI_DEVICE_SELECTOR.
-
-| Device selection | Parameter                              |
-|------------------|----------------------------------------|
-| Single device    | --split-mode none --main-gpu DEVICE_ID |
-| Multiple devices | --split-mode layer (default)           |
-
-Examples:
-
-- Use device 0:
-
-```
-build\bin\llama-completion.exe -no-cnv -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 99 -sm none -mg 0 --mmap
-```
-
-- Use multiple devices:
-
-```
-build\bin\llama-completion.exe -no-cnv -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 99 -sm layer --mmap
-```
-
-
-Note:
-
-- Upon execution, verify the selected device(s) ID(s) in the output log, which can for instance be displayed as follow:
-
-```sh
-detect 1 SYCL GPUs: [0] with top Max compute units:512
-```
-
-Or
-
-```sh
-use 1 SYCL GPUs: [0] with Max compute units:512
-```
-
-
-## Environment Variable
-
-### Build
-
-| Name               | Value                                 | Function                                    |
-|--------------------|---------------------------------------|---------------------------------------------|
-| GGML_SYCL          | ON (mandatory)                        | Enable build with SYCL code path.           |
-| GGML_SYCL_TARGET   | INTEL *(default)*                     | Set the SYCL target device type.            |
-| GGML_SYCL_DEVICE_ARCH | Optional                           | Set the SYCL device architecture. Setting the device architecture can improve the performance. See the table [--offload-arch](https://github.com/intel/llvm/blob/sycl/sycl/doc/design/OffloadDesign.md#--offload-arch) for a list of valid architectures. |
-| GGML_SYCL_F16      | OFF *(default)* \|ON *(optional)*     | Enable FP16 build with SYCL code path. (1.) |
-| GGML_SYCL_GRAPH    | OFF *(default)* \|ON *(Optional)*     | Enable build with [SYCL Graph extension](https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/experimental/sycl_ext_oneapi_graph.asciidoc). |
-| GGML_SYCL_DNN      | ON *(default)* \|OFF *(Optional)*     | Enable build with oneDNN.                   |
-| CMAKE_C_COMPILER   | `icx` *(Linux)*, `icx/cl` *(Windows)* | Set `icx` compiler for SYCL code path.      |
-| CMAKE_CXX_COMPILER | `icpx` *(Linux)*, `icx` *(Windows)*   | Set `icpx/icx` compiler for SYCL code path. |
-
-1. FP32 or FP16 have different performance impact to LLM. Recommended to test them for better prompt processing performance on your models. You need to rebuild the code after change `GGML_SYCL_F16=OFF/ON`.
-
-### Runtime
-
-| Name              | Value            | Function                                                                                                                  |
-|-------------------|------------------|---------------------------------------------------------------------------------------------------------------------------|
-| GGML_SYCL_DEBUG   | 0 (default) or 1 | Enable log function by macro: GGML_SYCL_DEBUG                                                                             |
-| GGML_SYCL_ENABLE_FLASH_ATTN | 1 (default) or 0| Enable Flash-Attention. It can reduce memory usage. The performance impact depends on the LLM.|
-| GGML_SYCL_DISABLE_OPT | 0 (default) or 1 | Disable optimize features for Intel GPUs. (Recommended to 1 for intel devices older than Gen 10) |
-| GGML_SYCL_DISABLE_GRAPH | 0 or 1 (default) | Disable running computations through SYCL Graphs feature. Disabled by default because SYCL Graph is still on development, no better performance. |
-| GGML_SYCL_DISABLE_DNN | 0 (default) or 1 | Disable running computations through oneDNN and always use oneMKL. |
-| ZES_ENABLE_SYSMAN | 0 (default) or 1 | Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory.<br>Recommended to use when --split-mode = layer |
-| UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS | 0 (default) or 1 | Support malloc device memory more than 4GB.|
-
-## Design Rule
-
-- Open to all contributors.
-
-- All code change should be useful to user:
-    - Fix bug.
-    - Add new function.
-    - Improve the performance/usage.
-    - Make code be easy to maintain.
-    - ...
-
-- Don't accept the codes of following cases:
-    - Break legacy function.
-    - Reduce the performance of legacy case in default.
-    - Not completed work/the functionality cannot be demonstrated.
-
-- Encourage to use environment variable to control features to be opened/closed.
-    - User can evaluate the feature without rebuild the code.
-    - Recommend the best features to user by setting them be opened as default.
-
-- Design the code based on the published official releases of oneAPI packages: compiler, library, driver, OS kernel.
-
-- Developers need to maintain the code they submit.
-
-## Known Issues
-
-- `Split-mode:[row]` is not supported.
-
-- Missed the AOT (Ahead-of-Time) in buiding.
-  - Good: build quickly, smaller size of binary file.
-  - Bad: The startup is slow (JIT) in first time, but subsequent performance is unaffected.
-
-## Q&A
-
-- Error:  `error while loading shared libraries: libsycl.so: cannot open shared object file: No such file or directory`.
-
-  - Potential cause: Unavailable oneAPI installation or not set ENV variables.
-  - Solution: Install *oneAPI base toolkit* and enable its ENV through: `source /opt/intel/oneapi/setvars.sh`.
-
-- General compiler error:
-
-  - Remove **build** folder or try a clean-build.
-
-- I can **not** see `[ext_oneapi_level_zero:gpu]` after installing the GPU driver on Linux.
-
-  Please double-check with `sudo sycl-ls`.
-
-  If it's present in the list, please add video/render group to your user then **logout/login** or restart your system:
-
-  ```
-  sudo usermod -aG render $USER
-  sudo usermod -aG video $USER
-  ```
-  Otherwise, please double-check the GPU driver installation steps.
-
-- Can I report Ollama issue on Intel GPU to llama.cpp SYCL backend?
-
-  No. We can't support Ollama issue directly, because we aren't familiar with Ollama.
-
-  Suggest reproducing on llama.cpp and report similar issue to llama.cpp. We will support it.
-
-  It's same for other projects including llama.cpp SYCL backend.
-
-- `Native API failed. Native API returns: 39 (UR_RESULT_ERROR_OUT_OF_DEVICE_MEMORY)`, `ggml_backend_sycl_buffer_type_alloc_buffer: can't allocate 3503030272 Bytes of memory on device`, or `failed to allocate SYCL0 buffer`
-
-  You are running out of Device Memory.
-
-  |Reason|Solution|
-  |-|-|
-  | The default context is too big. It leads to excessive memory usage.|Set `-c 8192` or a smaller value.|
-  | The model is too big and requires more memory than what is available.|Choose a smaller model or change to a smaller quantization, like Q5 -> Q4;<br>Alternatively, use more than one device to load model.|
-
-- `ggml_backend_sycl_buffer_type_alloc_buffer: can't allocate 5000000000 Bytes of memory on device`
-
-  You need to enable to support 4GB memory malloc by:
-  ```
-    export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
-    set UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
-  ```
-
-### **GitHub contribution**:
-Please add the `[SYCL]` prefix/tag in issues/PRs titles to help the SYCL contributors to check/address them without delay.
-
-## TODO
-
-- Review ZES_ENABLE_SYSMAN: https://github.com/intel/compute-runtime/blob/master/programmers-guide/SYSMAN.md#support-and-limitations
+version https://git-lfs.github.com/spec/v1
+oid sha256:25064f6710ede89ee2351beeb2d0aac167e729f8a1d91cd79f337757a59c9d2c
+size 33907
diff --git a/docs/backend/ZenDNN.md b/docs/backend/ZenDNN.md
index 3b1f8242ff3e7aba8458b32bedde78c6c57a34a7..d31e5d71448c00908b1da54a383c7e9482202e0c 100644
--- a/docs/backend/ZenDNN.md
+++ b/docs/backend/ZenDNN.md
@@ -1,219 +1,3 @@
-# llama.cpp for AMD ZenDNN
-
-> [!WARNING]
-> **Note:** ZenDNN is **not** the same as zDNN.
-> - **ZenDNN** (this page): AMD's deep learning library for AMD EPYC CPUs
-> - **zDNN**: IBM's Deep Neural Network acceleration library for IBM Z & LinuxONE Mainframes ([see zDNN documentation](zDNN.md))
-
-- [Background](#background)
-- [OS](#os)
-- [Hardware](#hardware)
-- [Supported Operations](#supported-operations)
-- [DataType Supports](#datatype-supports)
-- [Linux](#linux)
-- [Environment Variable](#environment-variable)
-- [Performance Optimization](#performance-optimization)
-- [Known Issues](#known-issues)
-- [TODO](#todo)
-
-## Background
-
-**ZenDNN** (Zen Deep Neural Network Library) is AMD's high-performance deep learning inference library optimized for AMD EPYC™ CPUs. It provides optimized implementations of key deep learning primitives and operations, delivering significant performance improvements for neural network workloads on AMD Zen-based processor architectures.
-
-**Llama.cpp + ZenDNN**
-
-The llama.cpp ZenDNN backend leverages AMD's optimized matrix multiplication primitives to accelerate inference on AMD CPUs. It utilizes ZenDNN's **LowOHA (Low Overhead Hardware Accelerated)** MatMul operator for efficient GEMM operations with minimal execution overhead, built-in weight caching, and direct access to backend libraries (AOCL DLP, LibXSMM, OneDNN).
-
-For more information about ZenDNN, visit: https://www.amd.com/en/developer/zendnn.html
-
-## OS
-
-| OS      | Status  | Verified                                       |
-|:-------:|:-------:|:----------------------------------------------:|
-| Linux   | Support | Ubuntu 20.04, 22.04, 24.04                     |
-
-For the latest list of supported operating systems, see the [ZenDNN Supported OS](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/README.md#15-supported-os).
-
-## Hardware
-
-### AMD CPUs
-
-**Recommended Processors**
-
-ZenDNN is optimized for AMD EPYC™ processors and AMD Ryzen™ processors based on "Zen" microarchitecture and newer.
-
-| CPU Family                    | Status  | Notes                              |
-|:-----------------------------:|:-------:|:----------------------------------:|
-| AMD EPYC™ 9005 Series (Turin) | Support | 5th Gen - Zen 5 architecture       |
-| AMD EPYC™ 9004 Series (Genoa) | Support | 4th Gen - Zen 4 architecture       |
-| AMD EPYC™ 7003 Series (Milan) | Support | 3rd Gen - Zen 3 architecture       |
-| AMD Ryzen™ AI MAX (Strix Halo)| Support | High-performance mobile processors |
-
-*Notes:*
-
-- Best performance is achieved on AMD EPYC™ processors with high core counts (e.g., EPYC 9005 series).
-- ZenDNN leverages AMD's advanced CPU features including AVX2 and AVX-512 instruction sets.
-- For optimal performance, ensure your system has sufficient memory bandwidth.
-
-## Supported Operations
-
-The ZenDNN backend currently accelerates **matrix multiplication (MUL_MAT)** operations only. Other operations are handled by the standard CPU backend.
-
-| Operation    | Status  | Notes                                          |
-|:-------------|:-------:|:----------------------------------------------:|
-| MUL_MAT      | Support | Accelerated via ZenDNN LowOHA MatMul           |
-
-*Note:* Since only MUL_MAT is accelerated, models will benefit most from ZenDNN when matrix multiplications dominate the computational workload (which is typical for transformer-based LLMs).
-
-## DataType Supports
-
-| DataType               | Status  | Notes                                         |
-|:----------------------:|:-------:|:---------------------------------------------:|
-| FP32                   | Support | Full precision floating point                 |
-| BF16                   | Support | BFloat16 (best performance on Zen 4/Zen 5)    |
-
-*Notes:*
-
-- **BF16** provides best performance on Zen 4 and Zen 5 EPYC™ processors (Genoa, Turin).
-
-## Linux
-
-### I. Setup Environment
-
-You have two options to set up ZenDNN:
-
-#### Option 1: Automatic Download and Build (Recommended)
-
-CMake will automatically download and build ZenDNN for you:
-
-```sh
-# Build llama.cpp - ZenDNN will be automatically downloaded and built
-cmake -B build -DGGML_ZENDNN=ON -DCMAKE_BUILD_TYPE=Release
-cmake --build build --config Release -j $(nproc)
-```
-
-No manual ZenDNN installation required. CMake will handle everything automatically.
-
-#### Option 2: Use Custom ZenDNN Installation
-
-If you want to build ZenDNN yourself or use a specific version:
-
-**Step 1: Build ZenDNN from source**
-
-```sh
-# Clone ZenDNN repository
-git clone https://github.com/amd/ZenDNN.git
-cd ZenDNN
-
-# Build and install (requires CMake >= 3.25)
-mkdir build && cd build
-cmake ..
-cmake --build . --target all
-```
-
-Default installation path: `ZenDNN/build/install`
-
-**For detailed build instructions**, refer to the [ZenDNN README](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/README.md).
-
-**Step 2: Build llama.cpp with custom ZenDNN path**
-
-```sh
-# Using environment variable
-export ZENDNN_ROOT=/path/to/ZenDNN/build/install
-cmake -B build -DGGML_ZENDNN=ON -DCMAKE_BUILD_TYPE=Release
-cmake --build build --config Release -j $(nproc)
-
-# OR specify path directly in CMake
-cmake -B build -DGGML_ZENDNN=ON -DZENDNN_ROOT=/path/to/ZenDNN/build/install -DCMAKE_BUILD_TYPE=Release
-cmake --build build --config Release -j $(nproc)
-```
-
-### II. Run the Server
-
-#### 1. Download Model
-
-Download LLaMA 3.1 8B Instruct BF16 model:
-
-```sh
-# Download from Hugging Face
-huggingface-cli download meta-llama/Llama-3.1-8B-Instruct-GGUF --local-dir models/
-```
-
-#### 2. Start Server
-
-Run llama.cpp server with ZenDNN acceleration:
-
-```sh
-# Set optimal configuration
-export ZENDNNL_MATMUL_ALGO=1    # Blocked AOCL DLP algo for best performance
-
-# Start server
-./build/bin/llama-server \
-    -m models/Llama-3.1-8B-Instruct.BF16.gguf \
-    --host 0.0.0.0 \
-    --port 8080 \
-    -t 64
-```
-
-Access the server at `http://localhost:8080`.
-
-**Performance tips**:
-- Use `ZENDNNL_MATMUL_ALGO=1` for optimal performance
-- For NUMA systems: `numactl --cpunodebind=0 --membind=0 ./build/bin/llama-server ...`
-
-## Environment Variable
-
-For environment variables related to ZenDNN, refer to the [ZenDNN Environment Variables Documentation](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/docs/runtime_env.md).
-
-### Performance Optimization
-
-ZenDNN's LowOHA MatMul supports multiple backend algorithms. For **best performance**, use the **Blocked AOCL DLP** algorithm:
-
-```sh
-export ZENDNNL_MATMUL_ALGO=1    # Blocked AOCL DLP algo (recommended)
-```
-
-For more details on available algorithms, see the [ZenDNN MatMul Algorithm Documentation](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/docs/runtime_env.md#algorithm-details).
-
-### Profiling and Debugging
-
-For detailed profiling and logging options, refer to the [ZenDNN Logging Documentation](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/docs/logging.md).
-
-## Known Issues
-
-- **Limited operation support**: Currently only matrix multiplication (MUL_MAT) is accelerated via ZenDNN. Other operations fall back to the standard CPU backend.
-- **BF16 support**: BF16 operations require AMD Zen 4 or Zen 5 architecture (EPYC 9004/9005 series). On older CPUs, operations will use FP32.
-- **NUMA awareness**: For multi-socket systems, manual NUMA binding may be required for optimal performance.
-
-## Q&A
-
-**Q: How do I verify that ZenDNN backend is being used?**
-
-A: Check the log output when running llama.cpp. You should see messages indicating the ZenDNN backend is initialized. You can also check the backend name in the output.
-
-**Q: What performance improvement can I expect?**
-
-A: Performance gains vary depending on the model size, batch size, and CPU architecture. On AMD EPYC processors, you can typically expect 1.1x-2x speedup compared to standard CPU inference for matrix multiplication operations.
-
-**Q: Can I use ZenDNN on non-AMD processors?**
-
-A: ZenDNN is optimized specifically for AMD processors. While it may work on other x86-64 CPUs, performance benefits are only guaranteed on AMD Zen-based architectures.
-
-**Q: Does ZenDNN support quantized models?**
-
-A: Currently, ZenDNN primarily supports FP32 and BF16 data types. Quantized model support is not available at this time.
-
-**Q: Why is my inference not faster with ZenDNN?**
-
-A: Ensure:
-1. You're using an AMD EPYC or Ryzen processor (Zen 2 or newer)
-2. `ZENDNNL_MATMUL_ALGO=1` is set for best performance (Blocked AOCL DLP)
-3. You're using a sufficiently large model (small models may not benefit as much)
-4. Enable profiling to verify ZenDNN MatMul is being called
-
-### **GitHub Contribution**:
-Please add the **[ZenDNN]** prefix/tag in issues/PRs titles to help the ZenDNN-team check/address them without delay.
-
-## TODO
-
-- Expand operation support beyond MUL_MAT (attention operations, activations, etc.)
+version https://git-lfs.github.com/spec/v1
+oid sha256:a17dd9abd97b0f12bc10dd82ae629001fb58a31d3459e490d7a81bdd2574d09e
+size 9390
diff --git a/docs/backend/snapdragon/CMakeUserPresets.json b/docs/backend/snapdragon/CMakeUserPresets.json
index 1faae2f3db73702c47ceeba7c24f3821b0e6eb73..c07bf5ca0c632c139df96d790ca030d708042df1 100644
--- a/docs/backend/snapdragon/CMakeUserPresets.json
+++ b/docs/backend/snapdragon/CMakeUserPresets.json
@@ -52,10 +52,39 @@
         }
     },
 
+    {
+        "name": "arm64-linux-snapdragon",
+        "hidden": true,
+        "architecture": { "value": "arm64",       "strategy": "external" },
+        "toolset":      { "value": "host=x86_64", "strategy": "external" },
+        "cacheVariables": {
+            "CMAKE_TOOLCHAIN_FILE": "cmake/arm64-linux-clang.cmake",
+            "CMAKE_C_FLAGS":   "-march=armv8 -fno-finite-math-only -flto -D_GNU_SOURCE",
+            "CMAKE_CXX_FLAGS": "-march=armv8 -fno-finite-math-only -flto -D_GNU_SOURCE",
+            "CMAKE_C_FLAGS_RELEASE":          "-O3 -DNDEBUG",
+            "CMAKE_CXX_FLAGS_RELEASE":        "-O3 -DNDEBUG",
+            "CMAKE_C_FLAGS_RELWITHDEBINFO":   "-O3 -DNDEBUG -g",
+            "CMAKE_CXX_FLAGS_RELWITHDEBINFO": "-O3 -DNDEBUG -g",
+            "CMAKE_PREFIX_PATH":  "$env{OPENCL_SDK_ROOT}",
+            "HEXAGON_SDK_ROOT":   "$env{HEXAGON_SDK_ROOT}",
+            "HEXAGON_TOOLS_ROOT": "$env{HEXAGON_TOOLS_ROOT}",
+            "PREBUILT_LIB_DIR": "linux_aarch64",
+            "GGML_OPENMP":      "OFF",
+            "GGML_LLAMAFILE":   "OFF",
+            "GGML_OPENCL":      "OFF",
+            "GGML_HEXAGON":     "ON",
+            "GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE": "128",
+            "LLAMA_OPENSSL":    "OFF"
+        }
+    },
+
     { "name": "arm64-android-snapdragon-debug"  , "inherits": [ "base", "arm64-android-snapdragon", "debug" ] },
     { "name": "arm64-android-snapdragon-release", "inherits": [ "base", "arm64-android-snapdragon", "release" ] },
 
     { "name": "arm64-windows-snapdragon-debug"  , "inherits": [ "base", "arm64-windows-snapdragon", "debug" ] },
-    { "name": "arm64-windows-snapdragon-release", "inherits": [ "base", "arm64-windows-snapdragon", "release" ] }
+    { "name": "arm64-windows-snapdragon-release", "inherits": [ "base", "arm64-windows-snapdragon", "release" ] },
+
+    { "name": "arm64-linux-snapdragon-debug"  , "inherits": [ "base", "arm64-linux-snapdragon", "debug" ] },
+    { "name": "arm64-linux-snapdragon-release", "inherits": [ "base", "arm64-linux-snapdragon", "release" ] }
   ]
 }
diff --git a/docs/backend/snapdragon/README.md b/docs/backend/snapdragon/README.md
index 0783555ce8a63e12f921825614131f84e33f209a..6983e284d16055481fb58f7f082cd6a3e4d267ed 100644
--- a/docs/backend/snapdragon/README.md
+++ b/docs/backend/snapdragon/README.md
@@ -1,269 +1,3 @@
-# Snapdragon-based devices
-
-## Setup
-
-### Android
-
-The easiest way to build llama.cpp for a Snapdragon-based Android device is using the toolchain Docker image (see github.com/snapdragon-toolchain).
-This image includes Android NDK, OpenCL SDK, Hexagon SDK, CMake, etc.
-
-This method works on Linux, macOS, and Windows. macOS and Windows users should install Docker Desktop.
-
-```
-~/src/llama.cpp$ docker run -it -u $(id -u):$(id -g) --volume $(pwd):/workspace --platform linux/amd64 ghcr.io/snapdragon-toolchain/arm64-android:v0.3
-[d]/> cd /workspace
-```
-
-Note: The rest of the **Android** build process assumes that you're running inside the toolchain container.
-
-### Windows On Snapdragon
-
-Native Windows 11 arm64 builds has the following tools dependencies:
-- MS Visual Studio 2026 (Community Edition or Pro)
-  - MSVC arm64 standard and runtime libraries
-  - UCRT and Driver Kit
-- LLVM core libraries and Clang compiler (winget)
-- CMake, Git, Python (winget)
-- Hexagon SDK Community Edition 6.4 or later (see windows.md)
-- OpenCL SDK 2.3 or later (see windows.md)
-
-Note: The rest of the **Windows** build process assumes that you're running natively in Powershell.
-Adapt below build commands accordingly.
-
-## How to Build
-
-Let's build llama.cpp with CPU, OpenCL, and Hexagon backends via CMake presets:
-
-```
-[d]/workspace> cp docs/backend/snapdragon/CMakeUserPresets.json .
-
-[d]/workspace> cmake --preset arm64-android-snapdragon-release -B build-snapdragon
-Preset CMake variables:
-  ANDROID_ABI="arm64-v8a"
-  ...
-  CMAKE_TOOLCHAIN_FILE="/opt/android-ndk-r28b/build/cmake/android.toolchain.cmake"
-  GGML_HEXAGON="ON"
-  GGML_OPENCL="ON"
-  GGML_OPENMP="OFF"
-  HEXAGON_SDK_ROOT="/opt/hexagon/6.4.0.2"
-...
--- Including OpenCL backend
--- Including Hexagon backend
-...
--- Build files have been written to: /workspace/build-snapdragon
-
-[d]/workspace> cmake --build build-snapdragon
-...
-[144/356] Performing build step for 'htp-v73'
-[1/16] Generating htp_iface_skel.c, htp_iface_stub.c, htp_iface.h
-[2/16] Building C object CMakeFiles/ggml-htp-v73.dir/hvx-sigmoid.c.obj
-[3/16] Building C object CMakeFiles/ggml-htp-v73.dir/htp-dma.c.obj
-[4/16] Building C object CMakeFiles/ggml-htp-v73.dir/worker-pool.c.obj
-...
--- Installing: /workspace/build-snapdragon/ggml/src/ggml-hexagon/libggml-htp-v73.so
--- Installing: /workspace/build-snapdragon/ggml/src/ggml-hexagon/libggml-htp-v75.so
-...
-```
-
-To generate an installable "package" simply use cmake --install:
-
-```
-[d]/workspace> cmake --install build-snapdragon --prefix pkg-snapdragon/llama.cpp
--- Install configuration: "Release"
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-cpu.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-opencl.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-hexagon.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-htp-v73.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-htp-v75.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-htp-v79.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml-htp-v81.so
--- Installing: /workspace/pkg-snapdragon/llama.cpp/lib/libggml.so
-...
--- Installing: /workspace/pkg-snapdragon/llama.cpp/bin/llama-bench
--- Installing: /workspace/pkg-snapdragon/llama.cpp/bin/llama-cli
-...
-```
-
-## How to Install
-
-### Android
-
-For this step, your device needs to be configured for on-device development.
-Please see https://developer.android.com/studio/debug/dev-options for details.
-
-Once ADB is enabled, use `adb push` to install `pkg-snapdragon` on the device.
-**Note that the toolchain Docker image doesn't have ADB and doesn't set up the ADB bridge. Please use native ADB on the host.**
-
-```
-~/src/llama.cpp$ adb push pkg-snapdragon/llama.cpp /data/local/tmp/
-pkg-snapdragon/llama.cpp/bin/: 67 files pushed, 0 skipped. 190.2 MB/s (919095042 bytes in 4.607s)
-pkg-snapdragon/llama.cpp/include/: 19 files pushed, 0 skipped. 20.5 MB/s (255173 bytes in 0.012s)
-pkg-snapdragon/llama.cpp/lib/: 16 files pushed, 0 skipped. 144.4 MB/s (43801382 bytes in 0.289s)
-102 files pushed, 0 skipped. 186.9 MB/s (963151597 bytes in 4.914s)
-```
-
-At this point, you should also install some models:
-
-```
-~/src/llama.cpp$ wget https://huggingface.co/bartowski/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf
-...
-2025-10-11 12:04:52 (10.7 MB/s) - ‘Llama-3.2-1B-Instruct-Q4_0.gguf’ saved [773025920/773025920]
-
-~/src/llama.cpp$ adb push Llama-3.2-1B-Instruct-Q4_0.gguf /data/local/tmp/gguf
-Llama-3.2-1B-Instruct-Q4_0.gguf: 1 file pushed, 0 skipped. 38.3 MB/s (773025920 bytes in 19.250s)
-```
-
-### Windows
-
-All artifacts are already installed in the `pkg-snapdragon` folder.
-To run, adapt below instructions to use Powershell scripts in `scripts/snapdragon/windows`.
-
-## How to Run
-
-The easiest way to run llama.cpp cli tools is using provided wrapper scripts that properly set up all required environment variables.
-
-llama.cpp supports three backends on Snapdragon-based devices: CPU, Adreno GPU (GPUOpenCL), and Hexagon NPU (HTP0-4).
-You can select which backend to run the model on using the `D=` variable, which maps to the `--device` option.
-
-Hexagon NPU behaves as a "GPU" device when it comes to `-ngl` and other offload-related options.
-
-Here are some examples of running various llama.cpp tools via ADB.
-
-Simple question for Llama-3.2-1B
-
-```
-~/src/llama.cpp$ M=Llama-3.2-1B-Instruct-Q4_0.gguf D=HTP0 ./scripts/snapdragon/adb/run-completion.sh -p "what is the most popular cookie in the world?"
-...
-ggml-hex: Hexagon backend (experimental) : allocating new registry : ndev 1
-ggml-hex: Hexagon Arch version v79
-ggml-hex: allocating new session: HTP0
-ggml-hex: new session: HTP0 : session-id 0 domain-id 3 uri file:///libggml-htp-v79.so?htp_iface_skel_handle_invoke&_modver=1.0&_dom=cdsp&_session=0 handle 0xb4000072c7955e50
-...
-load_tensors: offloading output layer to GPU
-load_tensors: offloaded 17/17 layers to GPU
-load_tensors:          CPU model buffer size =   225.49 MiB
-load_tensors:         HTP0 model buffer size =     0.26 MiB
-load_tensors:  HTP0-REPACK model buffer size =   504.00 MiB
-...
-I hope this helps you understand the world's most popular cookies! [end of text]
-...
-llama_perf_sampler_print:    sampling time =      30.08 ms /   487 runs   (    0.06 ms per token, 16191.77 tokens per second)
-llama_perf_context_print:        load time =     617.94 ms
-llama_perf_context_print: prompt eval time =      80.76 ms /    11 tokens (    7.34 ms per token,   136.21 tokens per second)
-llama_perf_context_print:        eval time =    9210.59 ms /   475 runs   (   19.39 ms per token,    51.57 tokens per second)
-llama_perf_context_print:       total time =    9454.92 ms /   486 tokens
-llama_perf_context_print:    graphs reused =        473
-llama_memory_breakdown_print: | memory breakdown [MiB] | total   free    self   model   context   compute    unaccounted |
-llama_memory_breakdown_print: |   - HTP0 (Hexagon)     |  2048 = 2048 + (   0 =     0 +       0 +       0) +           0 |
-llama_memory_breakdown_print: |   - Host               |                  439 =   225 +     136 +      77                |
-llama_memory_breakdown_print: |   - HTP0-REPACK        |                  504 =   504 +       0 +       0                |
-```
-
-Summary request for OLMoE-1B-7B. This is a large model that requires two HTP sessions/devices
-
-```
-~/src/llama.cpp$ M=OLMoE-1B-7B-0125-Instruct-Q4_0.gguf NDEV=2 D=HTP0,HTP1 ./scripts/snapdragon/adb/run-completion.sh -f surfing.txt
-...
-ggml-hex: Hexagon backend (experimental) : allocating new registry : ndev 1
-ggml-hex: Hexagon Arch version v81
-ggml-hex: allocating new session: HTP0
-ggml-hex: allocating new session: HTP1
-...
-load_tensors: offloading output layer to GPU
-load_tensors: offloaded 17/17 layers to GPU
-load_tensors:          CPU model buffer size =   143.86 MiB
-load_tensors:         HTP1 model buffer size =     0.23 MiB
-load_tensors:  HTP1-REPACK model buffer size =  1575.00 MiB
-load_tensors:         HTP0 model buffer size =     0.28 MiB
-load_tensors:  HTP0-REPACK model buffer size =  2025.00 MiB
-...
-llama_context:        CPU  output buffer size =     0.19 MiB
-llama_kv_cache:       HTP1 KV buffer size =   238.00 MiB
-llama_kv_cache:       HTP0 KV buffer size =   306.00 MiB
-llama_kv_cache: size =  544.00 MiB (  8192 cells,  16 layers,  1/1 seqs), K (q8_0):  272.00 MiB, V (q8_0):  272.00 MiB
-llama_context:       HTP0 compute buffer size =    15.00 MiB
-llama_context:       HTP1 compute buffer size =    15.00 MiB
-llama_context:        CPU compute buffer size =    24.56 MiB
-...
-llama_perf_context_print: prompt eval time =    1730.57 ms /   212 tokens (    8.16 ms per token,   122.50 tokens per second)
-llama_perf_context_print:        eval time =    5624.75 ms /   257 runs   (   21.89 ms per token,    45.69 tokens per second)
-llama_perf_context_print:       total time =    7377.33 ms /   469 tokens
-llama_perf_context_print:    graphs reused =        255
-llama_memory_breakdown_print: | memory breakdown [MiB] | total   free    self   model   context   compute    unaccounted |
-llama_memory_breakdown_print: |   - HTP0 (Hexagon)     |  2048 = 2048 + (   0 =     0 +       0 +       0) +           0 |
-llama_memory_breakdown_print: |   - HTP1 (Hexagon)     |  2048 = 2048 + (   0 =     0 +       0 +       0) +           0 |
-llama_memory_breakdown_print: |   - Host               |                  742 =   144 +     544 +      54                |
-llama_memory_breakdown_print: |   - HTP1-REPACK        |                 1575 =  1575 +       0 +       0                |
-llama_memory_breakdown_print: |   - HTP0-REPACK        |                 2025 =  2025 +       0 +       0                |
-```
-
-Op test for MUL_MAT
-
-```
-~/src/llama.cpp$ HB=0 ./scripts/snapdragon/adb/run-tool.sh test-backend-ops -b HTP0 -o MUL_MAT
-...
-Backend 2/3: HTP0
-Device description: Hexagon
-Device memory: 2048 MB (2048 MB free)
-MUL_MAT(type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],v=0,o=1): OK
-MUL_MAT(type_a=q4_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],v=0,o=1): OK
-MUL_MAT(type_a=q4_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],v=0,o=1): OK
-
-~/src/llama.cpp-hexagon$ M=Llama-3.2-1B-Instruct-Q4_0.gguf ./scripts/snapdragon/adb/run-bench.sh -p 128 -n 64
-...
-ggml-hex: Hexagon backend (experimental) : allocating new registry : ndev 1
-ggml-hex: Hexagon Arch version v79
-ggml-hex: allocating new session: HTP0
-ggml-hex: new session: HTP0 : session-id 0 domain-id 3 uri file:///libggml-htp-v79.so?htp_iface_skel_handle_invoke&_modver=1.0&_dom=cdsp&_session=0 handle 0xb400007d4b231090
-| model          |       size | params | backend    | ngl | threads | n_batch | mmap |  test |           t/s |
-| ---------------| ---------: | -----: | ---------- | --: | ------: | ------: | ---: | ----: | ------------: |
-| llama 1B Q4_0  | 729.75 MiB | 1.24 B | HTP        |  99 |       4 |     128 |    0 | pp128 | 169.42 ± 1.75 |
-| llama 1B Q4_0  | 729.75 MiB | 1.24 B | HTP        |  99 |       4 |     128 |    0 |  tg64 |  51.54 ± 1.13 |
-
-build: 6a8cf8914 (6733)
-```
-
-## Environment variables
-
-- `GGML_HEXAGON_NDEV=1`
-  Controls the number of devices/sessions to allocate. The default is 1.
-  Most quantized models under 4B fit into a single session; an 8B model needs two, and a 20B model needs four.
-
-- `GGML_HEXAGON_NHVX=0`
-  Controls the number of HVX hardware threads to use. The default is all (actual number varies depending on the hardware version).
-
-- `GGML_HEXAGON_HOSTBUF=1`
-  Controls whether the Hexagon backend allocates host buffers. By default, all buffers except for REPACK are host buffers.
-  This option is required for testing Ops that require REPACK buffers (MUL_MAT and MUL_MAT_ID).
-
-- `GGML_HEXAGON_EXPERIMENTAL=1`
-  Controls whether the Hexagon backend enables experimental features.
-  This option is required for enabling/testing experimental Ops (FLASH_ATTN_EXT).
-
-- `GGML_HEXAGON_VERBOSE=1`
-  Enables verbose logging of Ops from the backend. Example output:
-
-  ```
-  ggml-hex: HTP0 graph-compute n_nodes 2
-  ggml-hex: HTP0 matmul : blk.27.ffn_up.weight x ffn_norm-27 -> ffn_up-27 : 3072:8192 x 3072:1 -> 8192:1 : q4_0 x f32 -> f32 : HTP0 x HTP0 -> HTP0 : flags 0x1
-  ggml-hex: HTP0 matmul : blk.27.ffn_gate.weight x ffn_norm-27 -> ffn_gate-27 : 3072:8192 x 3072:1 -> 8192:1 : q4_0 x f32 -> f32 : HTP0 x HTP0 -> HTP0 : flags 0x3
-  ggml-hex: HTP0 graph-compute n_nodes 1
-  ggml-hex: HTP0 matmul : blk.27.ffn_down.weight x ffn_gate_par-27 -> ffn_out-27 : 8192:3072 x 8192:1 -> 3072:1 : q4_0 x f32 -> f32 : HTP0 x HTP0 -> HTP0 : flags 0x0
-  ggml-hex: HTP0 get-tensor result_output : data 0x7592487000 offset 0 size 513024
-  ```
-
-- `GGML_HEXAGON_PROFILE=1`
-  Generates a host-side profile for the ggml-hexagon Ops.
-
-- `GGML_HEXAGON_OPMASK=0x0`
-  Allows enabling specific stages of the processing pipeline:
-
-  - `0x1` Enable Op Queue (i.e., queuing Ops into NPU)
-  - `0x2` Enable Dynamic Quantizer (if needed for the Op)
-  - `0x4` Enable Op Compute (MUL_MAT, etc.)
-
-  Examples:
-
-      `GGML_HEXAGON_OPMASK=0x1 llama-completion ...` - Ops are enqueued but NPU-side processing is stubbed out
-      `GGML_HEXAGON_OPMASK=0x3 llama-completion ...` - NPU performs dynamic quantization and skips the rest
-      `GGML_HEXAGON_OPMASK=0x7 llama-completion ...` - Full queuing and processing of Ops (default)
+version https://git-lfs.github.com/spec/v1
+oid sha256:96188370a380ec1e396a151e358a4b411c624d8b173b6231372ebc16cbc06013
+size 13623
diff --git a/docs/backend/snapdragon/linux.md b/docs/backend/snapdragon/linux.md
new file mode 100644
index 0000000000000000000000000000000000000000..6a9191b8ed3e02cb0c269007e2317d6450d9c9e1
--- /dev/null
+++ b/docs/backend/snapdragon/linux.md
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26422ecd7402dffaaad4188acf36ec7ef910e0cd95ce1f698af496d795070342
+size 2157
diff --git a/docs/build.md b/docs/build.md
index 508245d536a3a0ea63890104aeda23bbff07d2fd..8df51a07d2688e7b80f804494404453ffaab6892 100644
--- a/docs/build.md
+++ b/docs/build.md
@@ -1,764 +1,3 @@
-# Build llama.cpp locally
-
-The main product of this project is the `llama` library. Its C-style interface can be found in [include/llama.h](../include/llama.h).
-
-The project also includes many example programs and tools using the `llama` library. The examples range from simple, minimal code snippets to sophisticated sub-projects such as an OpenAI-compatible HTTP server.
-
-**To get the Code:**
-
-```bash
-git clone https://github.com/ggml-org/llama.cpp
-cd llama.cpp
-```
-
-The following sections describe how to build with different backends and options.
-
-* [CPU Build](#cpu-build)
-* [BLAS Build](#blas-build)
-* [Metal Build](#metal-build)
-* [SYCL](#sycl)
-* [CUDA](#cuda)
-* [MUSA](#musa)
-* [HIP](#hip)
-* [Vulkan](#vulkan)
-* [CANN](#cann)
-* [Arm® KleidiAI™](#arm-kleidiai)
-* [OpenCL](#opencl)
-* [Android](#android-1)
-* [OpenVINO](#openvino)
-* [Notes about GPU-accelerated backends](#notes-about-gpu-accelerated-backends)
-
-## CPU Build
-
-Build llama.cpp using `CMake`:
-
-```bash
-cmake -B build
-cmake --build build --config Release
-```
-
-**Notes**:
-
-- For faster compilation, add the `-j` argument to run multiple jobs in parallel, or use a generator that does this automatically such as Ninja. For example, `cmake --build build --config Release -j 8` will run 8 jobs in parallel.
-- For faster repeated compilation, install [ccache](https://ccache.dev/)
-- For debug builds, there are two cases:
-
-    1. Single-config generators (e.g. default = `Unix Makefiles`; note that they just ignore the `--config` flag):
-
-       ```bash
-       cmake -B build -DCMAKE_BUILD_TYPE=Debug
-       cmake --build build
-       ```
-
-    2. Multi-config generators (`-G` param set to Visual Studio, XCode...):
-
-       ```bash
-       cmake -B build -G "Xcode"
-       cmake --build build --config Debug
-       ```
-
-    For more details and a list of supported generators, see the [CMake documentation](https://cmake.org/cmake/help/latest/manual/cmake-generators.7.html).
-- For static builds, add `-DBUILD_SHARED_LIBS=OFF`:
-  ```
-  cmake -B build -DBUILD_SHARED_LIBS=OFF
-  cmake --build build --config Release
-  ```
-
-- Building for Windows (x86, x64 and arm64) with MSVC or clang as compilers:
-    - Install Visual Studio 2022, e.g. via the [Community Edition](https://visualstudio.microsoft.com/vs/community/). In the installer, select at least the following options (this also automatically installs the required additional tools like CMake,...):
-    - Tab Workload: Desktop-development with C++
-    - Tab Components (select quickly via search): C++-_CMake_ Tools for Windows, _Git_ for Windows, C++-_Clang_ Compiler for Windows, MS-Build Support for LLVM-Toolset (clang)
-    - Please remember to always use a Developer Command Prompt / PowerShell for VS2022 for git, build, test
-    - For Windows on ARM (arm64, WoA) build with:
-    ```bash
-    cmake --preset arm64-windows-llvm-release -D GGML_OPENMP=OFF
-    cmake --build build-arm64-windows-llvm-release
-    ```
-    For building with ninja generator and clang compiler as default:
-      -set path:set LIB=C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um\x64;C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.41.34120\lib\x64\uwp;C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\ucrt\x64
-      ```bash
-      cmake --preset x64-windows-llvm-release
-      cmake --build build-x64-windows-llvm-release
-      ```
-- If you want HTTPS/TLS features, you may install OpenSSL development libraries. If not installed, the project will build and run without SSL support.
-  - **Debian / Ubuntu:** `sudo apt-get install libssl-dev`
-  - **Fedora / RHEL / Rocky / Alma:** `sudo dnf install openssl-devel`
-  - **Arch / Manjaro:** `sudo pacman -S openssl`
-
-## BLAS Build
-
-Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). Using BLAS doesn't affect the generation performance. There are currently several different BLAS implementations available for build and use:
-
-### Accelerate Framework
-
-This is only available on Mac PCs and it's enabled by default. You can just build using the normal instructions.
-
-### OpenBLAS
-
-This provides BLAS acceleration using only the CPU. Make sure to have OpenBLAS installed on your machine.
-
-- Using `CMake` on Linux:
-
-    ```bash
-    cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
-    cmake --build build --config Release
-    ```
-
-### BLIS
-
-Check [BLIS.md](./backend/BLIS.md) for more information.
-
-### Intel oneMKL
-
-Building through oneAPI compilers will make avx_vnni instruction set available for intel processors that do not support avx512 and avx512_vnni. Please note that this build config **does not support Intel GPU**. For Intel GPU support, please refer to [llama.cpp for SYCL](./backend/SYCL.md).
-
-- Using manual oneAPI installation:
-  By default, `GGML_BLAS_VENDOR` is set to `Generic`, so if you already sourced intel environment script and assign `-DGGML_BLAS=ON` in cmake, the mkl version of Blas will automatically been selected. Otherwise please install oneAPI and follow the below steps:
-    ```bash
-    source /opt/intel/oneapi/setvars.sh # You can skip this step if  in oneapi-basekit docker image, only required for manual installation
-    cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=Intel10_64lp -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_NATIVE=ON
-    cmake --build build --config Release
-    ```
-
-- Using oneAPI docker image:
-  If you do not want to source the environment vars and install oneAPI manually, you can also build the code using intel docker container: [oneAPI-basekit](https://hub.docker.com/r/intel/oneapi-basekit). Then, you can use the commands given above.
-
-Check [Optimizing and Running LLaMA2 on Intel® CPU](https://builders.intel.com/solutionslibrary/optimizing-and-running-llama2-on-intel-cpu) for more information.
-
-### Other BLAS libraries
-
-Any other BLAS library can be used by setting the `GGML_BLAS_VENDOR` option. See the [CMake documentation](https://cmake.org/cmake/help/latest/module/FindBLAS.html#blas-lapack-vendors) for a list of supported vendors.
-
-## Metal Build
-
-On MacOS, Metal is enabled by default. Using Metal makes the computation run on the GPU.
-To disable the Metal build at compile time use the `-DGGML_METAL=OFF` cmake option.
-
-When built with Metal support, you can explicitly disable GPU inference with the `--n-gpu-layers 0` command-line argument.
-
-## SYCL
-
-SYCL is a higher-level programming model to improve programming productivity on various hardware accelerators.
-
-llama.cpp based on SYCL is used to **support Intel GPU** (Data Center Max series, Flex series, Arc series, Built-in GPU and iGPU).
-
-For detailed info, please refer to [llama.cpp for SYCL](./backend/SYCL.md).
-
-## CUDA
-
-This provides GPU acceleration using an NVIDIA GPU. Make sure to have the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) installed.
-
-#### Download directly from NVIDIA
-You may find the official downloads here: [NVIDIA developer site](https://developer.nvidia.com/cuda-downloads).
-
-
-#### Compile and run inside a Fedora Toolbox Container
-We also have a [guide](./backend/CUDA-FEDORA.md) for setting up CUDA toolkit in a Fedora [toolbox container](https://containertoolbx.org/).
-
-**Recommended for:**
-- ***Necessary*** for users of [Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/); such as: [Silverblue](https://fedoraproject.org/atomic-desktops/silverblue/) and [Kinoite](https://fedoraproject.org/atomic-desktops/kinoite/).
-  - (there are no supported CUDA packages for these systems)
-- ***Necessary*** for users that have a host that is not a: [Supported Nvidia CUDA Release Platform](https://developer.nvidia.com/cuda-downloads).
-  - (for example, you may have [Fedora 42 Beta](https://fedoramagazine.org/announcing-fedora-linux-42-beta/) as your host operating system)
-- ***Convenient*** For those running [Fedora Workstation](https://fedoraproject.org/workstation/) or [Fedora KDE Plasma Desktop](https://fedoraproject.org/spins/kde), and want to keep their host system clean.
-- *Optionally* toolbox packages are available: [Arch Linux](https://archlinux.org/), [Red Hat Enterprise Linux >= 8.5](https://www.redhat.com/en/technologies/linux-platforms/enterprise-linux), or [Ubuntu](https://ubuntu.com/download)
-
-
-### Compilation
-
-Make sure to read the notes about the CPU build for general instructions for e.g. speeding up the compilation.
-
-```bash
-cmake -B build -DGGML_CUDA=ON
-cmake --build build --config Release
-```
-
-### Non-Native Builds
-
-By default llama.cpp will be built for the hardware that is connected to the system at that time.
-For a build covering all CUDA GPUs, disable `GGML_NATIVE`:
-
-```bash
-cmake -B build -DGGML_CUDA=ON -DGGML_NATIVE=OFF
-```
-
-The resulting binary should run on all CUDA GPUs with optimal performance, though some just-in-time compilation may be required.
-
-### Override Compute Capability Specifications
-
-If `nvcc` cannot detect your gpu, you may get compile warnings such as:
- ```text
-nvcc warning : Cannot find valid GPU for '-arch=native', default arch is used
-```
-
-One option is to do a non-native build as described above.
-However, this will result in a large binary that takes a long time to compile.
-Alternatively it is also possible to explicitly specify CUDA architectures.
-This may also make sense for a non-native build, for that one should look at the logic in `ggml/src/ggml-cuda/CMakeLists.txt` as a starting point.
-
-To override the default CUDA architectures:
-
-#### 1. Take note of the `Compute Capability` of your NVIDIA devices: ["CUDA: Your GPU Compute > Capability"](https://developer.nvidia.com/cuda-gpus).
-
-```text
-GeForce RTX 4090      8.9
-GeForce RTX 3080 Ti   8.6
-GeForce RTX 3070      8.6
-```
-
-#### 2. Manually list each varying `Compute Capability` in the `CMAKE_CUDA_ARCHITECTURES` list.
-
-```bash
-cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES="86;89"
-```
-
-### Overriding the CUDA Version
-
-If you have multiple CUDA installations on your system and want to compile llama.cpp for a specific one, e.g. for CUDA 11.7 installed under `/opt/cuda-11.7`:
-
-```bash
-cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_COMPILER=/opt/cuda-11.7/bin/nvcc -DCMAKE_INSTALL_RPATH="/opt/cuda-11.7/lib64;\$ORIGIN" -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
-```
-
-#### Fixing Compatibility Issues with Old CUDA and New glibc
-
-If you try to use an old CUDA version (e.g. v11.7) with a new glibc version you can get errors like this:
-
-```
-/usr/include/bits/mathcalls.h(83): error: exception specification is
-  incompatible with that of previous function "cospi"
-
-
-  /opt/cuda-11.7/bin/../targets/x86_64-linux/include/crt/math_functions.h(5545):
-  here
-```
-
-It seems the least bad solution is to patch the CUDA installation to declare the correct signatures.
-Replace the following lines in `/path/to/your/cuda/installation/targets/x86_64-linux/include/crt/math_functions.h`:
-
-```C++
-// original lines
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 cospi(double x);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  cospif(float x);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 sinpi(double x);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  sinpif(float x);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 rsqrt(double x);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  rsqrtf(float x);
-
-// edited lines
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 cospi(double x) noexcept (true);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  cospif(float x) noexcept (true);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 sinpi(double x) noexcept (true);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  sinpif(float x) noexcept (true);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 rsqrt(double x) noexcept (true);
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  rsqrtf(float x) noexcept (true);
-```
-
-### Runtime CUDA environmental variables
-
-You may set the [cuda environmental variables](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) at runtime.
-
-```bash
-# Use `CUDA_VISIBLE_DEVICES` to hide the first compute device.
-CUDA_VISIBLE_DEVICES="-0" ./build/bin/llama-server --model /srv/models/llama.gguf
-```
-
-#### CUDA_SCALE_LAUNCH_QUEUES
-
-The environment variable [`CUDA_SCALE_LAUNCH_QUEUES`](https://docs.nvidia.com/cuda/cuda-programming-guide/05-appendices/environment-variables.html#cuda-scale-launch-queues) controls the size of CUDA's command buffer, which determines how many GPU operations can be queued before the CPU must wait for the GPU to catch up. A larger buffer reduces CPU-side stalls and allows more work to be queued on a GPU.
-
-Consider setting `CUDA_SCALE_LAUNCH_QUEUES=4x`, which increases the CUDA command buffer to 4 times its default size. This optimization is particularly beneficial for **Multi-GPU setups with pipeline parallelism**, where it significantly improves prompt processing throughput by allowing more operations to be enqueued across GPUs.
-
-#### GGML_CUDA_FORCE_CUBLAS_COMPUTE_32F
-
-Use `GGML_CUDA_FORCE_CUBLAS_COMPUTE_32F` environment variable to use FP32 compute type on all GPUs in FP16 cuBLAS for preventing possible numerical overflows in exchange for slower prompt processing (small impact on RTX PRO/Datacenter products and significant on GeForce products).
-
-#### GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F
-
-Use `GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F` environment variable to force use FP16 compute type (instead of default FP32) in FP16 cuBLAS for V100, CDNA and RDNA4.
-
-### Unified Memory
-
-The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted. In Windows this setting is available in the NVIDIA control panel as `System Memory Fallback`.
-
-### Performance Tuning
-
-The following compilation options are also available to tweak performance:
-
-| Option                        | Legal values           | Default | Description                                                                                                                                                                                                                                                                                                                                                                      |
-|-------------------------------|------------------------|---------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| GGML_CUDA_FORCE_MMQ           | Boolean                | false   | Force the use of custom matrix multiplication kernels for quantized models instead of FP16 cuBLAS even if there is no int8 tensor core implementation available (affects V100, CDNA and RDNA3+). MMQ kernels are enabled by default on GPUs with int8 tensor core support. With MMQ force enabled, speed for large batch sizes will be worse but VRAM consumption will be lower. |
-| GGML_CUDA_FORCE_CUBLAS        | Boolean                | false   | Force the use of FP16 cuBLAS instead of custom matrix multiplication kernels for quantized models. There may be issues with numerical overflows (except for V100, CDNA and RDNA4 which use FP32 compute type by default) and memory use will be higher. Prompt processing may become faster on recent datacenter GPUs (the custom kernels were tuned primarily for RTX 3000/4000).   |
-| GGML_CUDA_PEER_MAX_BATCH_SIZE | Positive integer       | 128     | Maximum batch size for which to enable peer access between multiple GPUs. Peer access requires either Linux or NVLink. When using NVLink enabling peer access for larger batch sizes is potentially beneficial.                                                                                                                                                                  |
-| GGML_CUDA_FA_ALL_QUANTS       | Boolean                | false   | Compile support for all KV cache quantization type (combinations) for the FlashAttention CUDA kernels. More fine-grained control over KV cache size but compilation takes much longer.                                                                                                                                                                                           |
-
-## MUSA
-
-This provides GPU acceleration using a Moore Threads GPU. Make sure to have the [MUSA SDK](https://developer.mthreads.com/musa/musa-sdk) installed.
-
-#### Download directly from Moore Threads
-
-You may find the official downloads here: [Moore Threads developer site](https://developer.mthreads.com/sdk/download/musa).
-
-### Compilation
-
-```bash
-cmake -B build -DGGML_MUSA=ON
-cmake --build build --config Release
-```
-
-#### Override Compute Capability Specifications
-
-By default, all supported compute capabilities are enabled. To customize this behavior, you can specify the `MUSA_ARCHITECTURES` option in the CMake command:
-
-```bash
-cmake -B build -DGGML_MUSA=ON -DMUSA_ARCHITECTURES="21"
-cmake --build build --config Release
-```
-
-This configuration enables only compute capability `2.1` (MTT S80) during compilation, which can help reduce compilation time.
-
-#### Compilation options
-
-Most of the compilation options available for CUDA should also be available for MUSA, though they haven't been thoroughly tested yet.
-
-- For static builds, add `-DBUILD_SHARED_LIBS=OFF` and `-DCMAKE_POSITION_INDEPENDENT_CODE=ON`:
-  ```
-  cmake -B build -DGGML_MUSA=ON \
-    -DBUILD_SHARED_LIBS=OFF -DCMAKE_POSITION_INDEPENDENT_CODE=ON
-  cmake --build build --config Release
-  ```
-
-### Runtime MUSA environmental variables
-
-You may set the [musa environmental variables](https://docs.mthreads.com/musa-sdk/musa-sdk-doc-online/programming_guide/Z%E9%99%84%E5%BD%95/) at runtime.
-
-```bash
-# Use `MUSA_VISIBLE_DEVICES` to hide the first compute device.
-MUSA_VISIBLE_DEVICES="-0" ./build/bin/llama-server --model /srv/models/llama.gguf
-```
-
-### Unified Memory
-
-The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted.
-
-## HIP
-
-This provides GPU acceleration on HIP-supported AMD GPUs.
-Make sure to have ROCm installed.
-You can download it from your Linux distro's package manager or from here: [ROCm Quick Start (Linux)](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html#rocm-install-quick).
-
-- Using `CMake` for Linux (assuming a gfx1030-compatible AMD GPU):
-  ```bash
-  HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -R)" \
-      cmake -S . -B build -DGGML_HIP=ON -DGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \
-      && cmake --build build --config Release -- -j 16
-  ```
-
-  Note: `GPU_TARGETS` is optional, omitting it will build the code for all GPUs in the current system.
-
-  To enhance flash attention performance on RDNA3+ or CDNA architectures, you can utilize the rocWMMA library by enabling the `-DGGML_HIP_ROCWMMA_FATTN=ON` option. This requires rocWMMA headers to be installed on the build system.
-
-  The rocWMMA library is included by default when installing the ROCm SDK using the `rocm` meta package provided by AMD. Alternatively, if you are not using the meta package, you can install the library using the `rocwmma-dev` or `rocwmma-devel` package, depending on your system's package manager.
-
-  As an alternative, you can manually install the library by cloning it from the official [GitHub repository](https://github.com/ROCm/rocWMMA), checkout the corresponding version tag (e.g. `rocm-6.2.4`) and set `-DCMAKE_CXX_FLAGS="-I<path/to/rocwmma>/library/include/"` in CMake. This also works under Windows despite not officially supported by AMD.
-
-  Note that if you get the following error:
-  ```
-  clang: error: cannot find ROCm device library; provide its path via '--rocm-path' or '--rocm-device-lib-path', or pass '-nogpulib' to build without ROCm device library
-  ```
-  Try searching for a directory under `HIP_PATH` that contains the file
-  `oclc_abi_version_400.bc`. Then, add the following to the start of the
-  command: `HIP_DEVICE_LIB_PATH=<directory-you-just-found>`, so something
-  like:
-  ```bash
-  HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -p)" \
-  HIP_DEVICE_LIB_PATH=<directory-you-just-found> \
-      cmake -S . -B build -DGGML_HIP=ON -DGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \
-      && cmake --build build -- -j 16
-  ```
-
-- Using `CMake` for Windows (using x64 Native Tools Command Prompt for VS, and assuming a gfx1100-compatible AMD GPU):
-  ```bash
-  set PATH=%HIP_PATH%\bin;%PATH%
-  cmake -S . -B build -G Ninja -DGPU_TARGETS=gfx1100 -DGGML_HIP=ON -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_BUILD_TYPE=Release
-  cmake --build build
-  ```
-  If necessary, adapt `GPU_TARGETS` to the GPU arch you want to compile for. The above example uses `gfx1100` that corresponds to Radeon RX 7900XTX/XT/GRE. You can find a list of targets [here](https://llvm.org/docs/AMDGPUUsage.html#processors)
-  Find your gpu version string by matching the most significant version information from `rocminfo | grep gfx | head -1 | awk '{print $2}'` with the list of processors, e.g. `gfx1035` maps to `gfx1030`.
-
-
-The environment variable [`HIP_VISIBLE_DEVICES`](https://rocm.docs.amd.com/en/latest/understand/gpu_isolation.html#hip-visible-devices) can be used to specify which GPU(s) will be used.
-If your GPU is not officially supported you can use the environment variable [`HSA_OVERRIDE_GFX_VERSION`] set to a similar GPU, for example 10.3.0 on RDNA2 (e.g. gfx1030, gfx1031, or gfx1035) or 11.0.0 on RDNA3.
-
-### Unified Memory
-
-On Linux it is possible to use unified memory architecture (UMA) to share main memory between the CPU and integrated GPU by setting environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1`. However, this hurts performance for non-integrated GPUs (but enables working with integrated GPUs).
-
-## Vulkan
-
-### For Windows Users:
-**w64devkit**
-
-Download and extract [`w64devkit`](https://github.com/skeeto/w64devkit/releases).
-
-Download and install the [`Vulkan SDK`](https://vulkan.lunarg.com/sdk/home#windows) with the default settings.
-
-Launch `w64devkit.exe` and run the following commands to copy Vulkan dependencies:
-```sh
-SDK_VERSION=1.3.283.0
-cp /VulkanSDK/$SDK_VERSION/Bin/glslc.exe $W64DEVKIT_HOME/bin/
-cp /VulkanSDK/$SDK_VERSION/Lib/vulkan-1.lib $W64DEVKIT_HOME/x86_64-w64-mingw32/lib/
-cp -r /VulkanSDK/$SDK_VERSION/Include/* $W64DEVKIT_HOME/x86_64-w64-mingw32/include/
-cat > $W64DEVKIT_HOME/x86_64-w64-mingw32/lib/pkgconfig/vulkan.pc <<EOF
-Name: Vulkan-Loader
-Description: Vulkan Loader
-Version: $SDK_VERSION
-Libs: -lvulkan-1
-EOF
-
-```
-
-Switch into the `llama.cpp` directory and build using CMake.
-```sh
-cmake -B build -DGGML_VULKAN=ON
-cmake --build build --config Release
-```
-
-**Git Bash MINGW64**
-
-Download and install [`Git-SCM`](https://git-scm.com/downloads/win) with the default settings
-
-Download and install [`Visual Studio Community Edition`](https://visualstudio.microsoft.com/) and make sure you select `C++`
-
-Download and install [`CMake`](https://cmake.org/download/) with the default settings
-
-Download and install the [`Vulkan SDK`](https://vulkan.lunarg.com/sdk/home#windows) with the default settings.
-
-Go into your `llama.cpp` directory and right click, select `Open Git Bash Here` and then run the following commands
-
-```
-cmake -B build -DGGML_VULKAN=ON
-cmake --build build --config Release
-```
-
-Now you can load the model in conversation mode using `Vulkan`
-
-```sh
-build/bin/Release/llama-cli -m "[PATH TO MODEL]" -ngl 100 -c 16384 -t 10 -n -2 -cnv
-```
-
-**MSYS2**
-
-Install [MSYS2](https://www.msys2.org/) and then run the following commands in a UCRT terminal to install dependencies.
-```sh
-pacman -S git \
-    mingw-w64-ucrt-x86_64-gcc \
-    mingw-w64-ucrt-x86_64-cmake \
-    mingw-w64-ucrt-x86_64-vulkan-devel \
-    mingw-w64-ucrt-x86_64-shaderc
-```
-
-Switch into the `llama.cpp` directory and build using CMake.
-```sh
-cmake -B build -DGGML_VULKAN=ON
-cmake --build build --config Release
-```
-
-### For Docker users:
-
-You don't need to install the Vulkan SDK. It will be installed inside the container.
-
-```sh
-# Build the image
-docker build -t llama-cpp-vulkan --target light -f .devops/vulkan.Dockerfile .
-
-# Then, use it:
-docker run -it --rm -v "$(pwd):/app:Z" --device /dev/dri/renderD128:/dev/dri/renderD128 --device /dev/dri/card1:/dev/dri/card1 llama-cpp-vulkan -m "/app/models/YOUR_MODEL_FILE" -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33
-```
-
-### For Linux users:
-
-#### Using the LunarG Vulkan SDK
-
-First, follow the official LunarG instructions for the installation and setup of the Vulkan SDK in the [Getting Started with the Linux Tarball Vulkan SDK](https://vulkan.lunarg.com/doc/sdk/latest/linux/getting_started.html) guide.
-
-> [!IMPORTANT]
-> After completing the first step, ensure that you have used the `source` command on the `setup_env.sh` file inside of the Vulkan SDK in your current terminal session. Otherwise, the build won't work. Additionally, if you close out of your terminal, you must perform this step again if you intend to perform a build. However, there are ways to make this persistent. Refer to the Vulkan SDK guide linked in the first step for more information about any of this.
-
-#### Using system packages
-
-On Debian / Ubuntu, you can install the required dependencies using:
-```sh
-sudo apt-get install libvulkan-dev glslc
-```
-
-#### Common steps
-
-Second, after verifying that you have followed all of the SDK installation/setup steps, use this command to make sure before proceeding:
-```bash
-vulkaninfo
-```
-
-Then, assuming you have `cd` into your llama.cpp folder and there are no errors with running `vulkaninfo`, you can proceed to build llama.cpp using the CMake commands below:
-```bash
-cmake -B build -DGGML_VULKAN=1
-cmake --build build --config Release
-```
-
-Finally, after finishing your build, you should be able to do something like this:
-```bash
-# Test the output binary
-# "-ngl 99" should offload all of the layers to GPU for most (if not all) models.
-./build/bin/llama-cli -m "PATH_TO_MODEL" -p "Hi you how are you" -ngl 99
-
-# You should see in the output, ggml_vulkan detected your GPU. For example:
-# ggml_vulkan: Using Intel(R) Graphics (ADL GT2) | uma: 1 | fp16: 1 | warp size: 32
-```
-
-### For Mac users:
-
-Generally, follow LunarG's [Getting Started with the MacOS Vulkan SDK](https://vulkan.lunarg.com/doc/sdk/latest/mac/getting_started.html) guide for installation and setup of the Vulkan SDK. There are two options of Vulkan drivers on macOS, both of which implement translation layers to map Vulkan to Metal. They can be hot-swapped by setting the `VK_ICD_FILENAMES` environment variable to point to the respective ICD JSON file.
-
-Check the box for "KosmicKrisp" during the LunarG Vulkan SDK installation.
-
-Set environment variable for the LunarG Vulkan SDK after installation (and optionally add to your shell profile for persistence):
-```bash
-source /path/to/vulkan-sdk/setup-env.sh
-```
-
-#### Using MoltenVK
-
-MoltenVK is the default Vulkan driver installed with the LunarG Vulkan SDK on macOS, so you can use the above environment variable settings as is.
-
-#### Using KosmicKrisp
-
-Override the environment variable for KosmicKrisp:
-```bash
-export VK_ICD_FILENAMES=$VULKAN_SDK/share/vulkan/icd.d/libkosmickrisp_icd.json
-export VK_DRIVER_FILES=$VULKAN_SDK/share/vulkan/icd.d/libkosmickrisp_icd.json
-```
-
-#### Build
-
-This is the only step different from [above](#common-steps) instructions.
-```bash
-cmake -B build -DGGML_VULKAN=1 -DGGML_METAL=OFF
-cmake --build build --config Release
-```
-
-## CANN
-This provides NPU acceleration using the AI cores of your Ascend NPU. And [CANN](https://www.hiascend.com/en/software/cann) is a hierarchical APIs to help you to quickly build AI applications and service based on Ascend NPU.
-
-For more information about Ascend NPU in [Ascend Community](https://www.hiascend.com/en/).
-
-Make sure to have the CANN toolkit installed. You can download it from here: [CANN Toolkit](https://www.hiascend.com/developer/download/community/result?module=cann)
-
-Go to `llama.cpp` directory and build using CMake.
-```bash
-cmake -B build -DGGML_CANN=on -DCMAKE_BUILD_TYPE=release
-cmake --build build --config release
-```
-
-You can test with:
-
-```bash
-./build/bin/llama-cli -m PATH_TO_MODEL -p "Building a website can be done in 10 steps:" -ngl 32
-```
-
-If the following info is output on screen, you are using `llama.cpp` with the CANN backend:
-```bash
-llm_load_tensors:       CANN model buffer size = 13313.00 MiB
-llama_new_context_with_model:       CANN compute buffer size =  1260.81 MiB
-```
-
-For detailed info, such as model/device supports, CANN install, please refer to [llama.cpp for CANN](./backend/CANN.md).
-
-## ZenDNN
-
-ZenDNN provides optimized deep learning primitives for AMD EPYC™ CPUs. It accelerates matrix multiplication operations for inference workloads.
-
-### Compilation
-
-- Using `CMake` on Linux (automatic build):
-
-    ```bash
-    cmake -B build -DGGML_ZENDNN=ON
-    cmake --build build --config Release
-    ```
-
-    The first build will automatically download and build ZenDNN, which may take 5-10 minutes. Subsequent builds will be much faster.
-
-- Using `CMake` with custom ZenDNN installation:
-
-    ```bash
-    cmake -B build -DGGML_ZENDNN=ON -DZENDNN_ROOT=/path/to/zendnn/install
-    cmake --build build --config Release
-    ```
-
-### Testing
-
-You can test with:
-
-```bash
-./build/bin/llama-cli -m PATH_TO_MODEL -p "Building a website can be done in 10 steps:" -n 50
-```
-
-For detailed information about hardware support, setup instructions, and performance optimization, refer to [llama.cpp for ZenDNN](./backend/ZenDNN.md).
-
-## Arm® KleidiAI™
-KleidiAI is a library of optimized microkernels for AI workloads, specifically designed for Arm CPUs. These microkernels enhance performance and can be enabled for use by the CPU backend.
-
-To enable KleidiAI, go to the llama.cpp directory and build using CMake
-```bash
-cmake -B build -DGGML_CPU_KLEIDIAI=ON
-cmake --build build --config Release
-```
-You can verify that KleidiAI is being used by running
-```bash
-./build/bin/llama-cli -m PATH_TO_MODEL -p "What is a car?"
-```
-If KleidiAI is enabled, the output will contain a line similar to:
-```
-load_tensors: CPU_KLEIDIAI model buffer size =  3474.00 MiB
-```
-KleidiAI’s microkernels implement optimized tensor operations using Arm CPU features such as dotprod, int8mm, SVE, and SME. Llama.cpp selects the most efficient kernels at runtime based on detected CPU capabilities.
-On CPUs that support SME, SME microkernels are enabled automatically using runtime detection.
-The environment variable GGML_KLEIDIAI_SME can be used to control SME behavior:
-- Not set: enable SME automatically if supported and detected.
-- 0: disable SME.
-- <n> > 0: enable SME and assume <n> available SME units (override auto detection).
-If SME is not supported by the CPU, SME microkernels are always disabled.
-
-Depending on your build target, other higher priority backends may be enabled by default. To ensure the CPU backend is used, you must disable the higher priority backends either at compile time, e.g. -DGGML_METAL=OFF, or during run-time using the command line option `--device none`.
-
-## OpenCL
-
-This provides GPU acceleration through OpenCL on recent Adreno GPU.
-More information about OpenCL backend can be found in [OPENCL.md](./backend/OPENCL.md) for more information.
-
-### Android
-
-Assume NDK is available in `$ANDROID_NDK`. First, install OpenCL headers and ICD loader library if not available,
-
-```sh
-mkdir -p ~/dev/llm
-cd ~/dev/llm
-
-git clone https://github.com/KhronosGroup/OpenCL-Headers && \
-cd OpenCL-Headers && \
-cp -r CL $ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include
-
-cd ~/dev/llm
-
-git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader && \
-cd OpenCL-ICD-Loader && \
-mkdir build_ndk && cd build_ndk && \
-cmake .. -G Ninja -DCMAKE_BUILD_TYPE=Release \
-  -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-  -DOPENCL_ICD_LOADER_HEADERS_DIR=$ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include \
-  -DANDROID_ABI=arm64-v8a \
-  -DANDROID_PLATFORM=24 \
-  -DANDROID_STL=c++_shared && \
-ninja && \
-cp libOpenCL.so $ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android
-```
-
-Then build llama.cpp with OpenCL enabled,
-
-```sh
-cd ~/dev/llm
-
-git clone https://github.com/ggml-org/llama.cpp && \
-cd llama.cpp && \
-mkdir build-android && cd build-android
-
-cmake .. -G Ninja \
-  -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-  -DANDROID_ABI=arm64-v8a \
-  -DANDROID_PLATFORM=android-28 \
-  -DBUILD_SHARED_LIBS=OFF \
-  -DGGML_OPENCL=ON
-
-ninja
-```
-
-### Windows Arm64
-
-First, install OpenCL headers and ICD loader library if not available,
-
-```powershell
-mkdir -p ~/dev/llm
-
-cd ~/dev/llm
-git clone https://github.com/KhronosGroup/OpenCL-Headers && cd OpenCL-Headers
-mkdir build && cd build
-cmake .. -G Ninja `
-  -DBUILD_TESTING=OFF `
-  -DOPENCL_HEADERS_BUILD_TESTING=OFF `
-  -DOPENCL_HEADERS_BUILD_CXX_TESTS=OFF `
-  -DCMAKE_INSTALL_PREFIX="$HOME/dev/llm/opencl"
-cmake --build . --target install
-
-cd ~/dev/llm
-git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader && cd OpenCL-ICD-Loader
-mkdir build && cd build
-cmake .. -G Ninja `
-  -DCMAKE_BUILD_TYPE=Release `
-  -DCMAKE_PREFIX_PATH="$HOME/dev/llm/opencl" `
-  -DCMAKE_INSTALL_PREFIX="$HOME/dev/llm/opencl"
-cmake --build . --target install
-```
-
-Then build llama.cpp with OpenCL enabled,
-
-```powershell
-cmake .. -G Ninja `
-  -DCMAKE_TOOLCHAIN_FILE="$HOME/dev/llm/llama.cpp/cmake/arm64-windows-llvm.cmake" `
-  -DCMAKE_BUILD_TYPE=Release `
-  -DCMAKE_PREFIX_PATH="$HOME/dev/llm/opencl" `
-  -DBUILD_SHARED_LIBS=OFF `
-  -DGGML_OPENCL=ON
-ninja
-```
-
-## Android
-
-To read documentation for how to build on Android, [click here](./android.md)
-
-## WebGPU [In Progress]
-
-The WebGPU backend relies on [Dawn](https://dawn.googlesource.com/dawn). Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/docs/quickstart-cmake.md) to install Dawn locally so that llama.cpp can find it using CMake. The current implementation is up-to-date with Dawn commit `bed1a61`.
-
-In the llama.cpp directory, build with CMake:
-
-```
-cmake -B build -DGGML_WEBGPU=ON
-cmake --build build --config Release
-```
-
-### Browser Support
-
-WebGPU allows cross-platform access to the GPU from supported browsers. We utilize [Emscripten](https://emscripten.org/) to compile ggml's WebGPU backend to WebAssembly. Emscripten does not officially support WebGPU bindings yet, but Dawn currently maintains its own WebGPU bindings called emdawnwebgpu.
-
-Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/src/emdawnwebgpu/) to download or build the emdawnwebgpu package (Note that it might be safer to build the emdawbwebgpu package locally, so that it stays in sync with the version of Dawn you have installed above). When building using CMake, the path to the emdawnwebgpu port file needs to be set with the flag `EMDAWNWEBGPU_DIR`.
-
-## IBM Z & LinuxONE
-
-To read documentation for how to build on IBM Z & LinuxONE, [click here](./build-s390x.md)
-
-## OpenVINO
-
-[OpenVINO](https://docs.openvino.ai/) is an open-source toolkit for optimizing and deploying high-performance AI inference, specifically designed for Intel hardware (CPUs, GPUs, and NPUs).
-
-For build instructions and usage examples, refer to [OPENVINO.md](backend/OPENVINO.md).
-
-
----
-## Notes about GPU-accelerated backends
-
-The GPU may still be used to accelerate some parts of the computation even when using the `-ngl 0` option. You can fully disable GPU acceleration by using `--device none`.
-
-In most cases, it is possible to build and use multiple backends at the same time. For example, you can build llama.cpp with both CUDA and Vulkan support by using the `-DGGML_CUDA=ON -DGGML_VULKAN=ON` options with CMake. At runtime, you can specify which backend devices to use with the `--device` option. To see a list of available devices, use the `--list-devices` option.
-
-Backends can be built as dynamic libraries that can be loaded dynamically at runtime. This allows you to use the same llama.cpp binary on different machines with different GPUs. To enable this feature, use the `GGML_BACKEND_DL` option when building.
+version https://git-lfs.github.com/spec/v1
+oid sha256:2907df96b9309716d3814c2f6319cf15a4608d7018369bcf8f331da54c149666
+size 38608
diff --git a/docs/development/HOWTO-add-model.md b/docs/development/HOWTO-add-model.md
index b6870f6e254142adcbde0dfd1f7682b77c2f0514..0079f58251589f79636728314edbf0a936337231 100644
--- a/docs/development/HOWTO-add-model.md
+++ b/docs/development/HOWTO-add-model.md
@@ -1,131 +1,3 @@
-# Add a new model architecture to `llama.cpp`
-
-Adding a model requires few steps:
-
-1. Convert the model to GGUF
-2. Define the model architecture in `llama.cpp`
-3. Build the GGML graph implementation
-
-After following these steps, you can open PR.
-
-Also, it is important to check that the examples and main ggml backends (CUDA, METAL, CPU) are working with the new architecture, especially:
-- [cli](/tools/cli/)
-- [completion](/tools/completion/)
-- [imatrix](/tools/imatrix/)
-- [quantize](/tools/quantize/)
-- [server](/tools/server/)
-
-### 1. Convert the model to GGUF
-
-This step is done in python with a `convert` script using the [gguf](https://pypi.org/project/gguf/) library.
-Depending on the model architecture, you can use either [convert_hf_to_gguf.py](/convert_hf_to_gguf.py) or [examples/convert_legacy_llama.py](/examples/convert_legacy_llama.py) (for `llama/llama2` models in `.pth` format).
-
-The convert script reads the model configuration, tokenizer, tensor names+data and converts them to GGUF metadata and tensors.
-
-The required steps to implement for an HF model are:
-
-1. Define the model `ModelBase.register` annotation in a new `TextModel` or `MmprojModel` subclass, example:
-
-```python
-@ModelBase.register("MyModelForCausalLM")
-class MyModel(TextModel):
-    model_arch = gguf.MODEL_ARCH.MYMODEL
-```
-
-or
-
-```python
-@ModelBase.register("MyModelForConditionalGeneration")
-class MyModel(MmprojModel):
-    model_arch = gguf.MODEL_ARCH.MYMODEL
-```
-
-2. Define the layout of the GGUF tensors in [constants.py](/gguf-py/gguf/constants.py)
-
-Add an enum entry in `MODEL_ARCH`, the model human friendly name in `MODEL_ARCH_NAMES` and the GGUF tensor names in `MODEL_TENSORS`.
-
-Example for `falcon` model:
-```python
-    MODEL_ARCH.FALCON: [
-        MODEL_TENSOR.TOKEN_EMBD,
-        MODEL_TENSOR.OUTPUT_NORM,
-        MODEL_TENSOR.OUTPUT,
-        MODEL_TENSOR.ATTN_NORM,
-        MODEL_TENSOR.ATTN_NORM_2,
-        MODEL_TENSOR.ATTN_QKV,
-        MODEL_TENSOR.ATTN_OUT,
-        MODEL_TENSOR.FFN_DOWN,
-        MODEL_TENSOR.FFN_UP,
-    ]
-```
-
-3. Map the original tensor names to the standardize equivalent in GGUF
-
-As a general rule, before adding a new tensor name to GGUF, be sure the equivalent naming does not already exist.
-
-Once you have found the GGUF tensor name equivalent, add it to the [tensor_mapping.py](/gguf-py/gguf/tensor_mapping.py) file.
-
-If the tensor name is part of a repetitive layer/block, the key word `bid` substitutes it.
-
-Example for the normalization tensor in attention layers:
-
-```python
-block_mappings_cfg: dict[MODEL_TENSOR, tuple[str, ...]] = {
-        # Attention norm
-        MODEL_TENSOR.ATTN_NORM: (
-            "gpt_neox.layers.{bid}.input_layernorm",                # gptneox
-            "transformer.h.{bid}.ln_1",                             # gpt2 gpt-j refact qwen
-            "transformer.blocks.{bid}.norm_1",                      # mpt
-            ...
-        )
-}
-```
-
-`transformer.blocks.{bid}.norm_1` will be mapped to `blk.{bid}.attn_norm` in GGUF.
-
-Depending on the model configuration, tokenizer, code and tensors layout, you will have to override:
-- `TextModel#set_gguf_parameters`
-- `MmprojModel#set_gguf_parameters`
-- `ModelBase#set_vocab`
-- `ModelBase#modify_tensors`
-
-NOTE: Tensor names must end with `.weight` or `.bias` suffixes, that is the convention and several tools like `quantize` expect this to proceed the weights.
-
-### 2. Define the model architecture in `llama.cpp`
-
-The model params and tensors layout must be defined in `llama.cpp` source files:
-1. Define a new `llm_arch` enum value in `src/llama-arch.h`.
-2. In `src/llama-arch.cpp`:
-    - Add the architecture name to the `LLM_ARCH_NAMES` map.
-    - Add the list of model tensors to `llm_get_tensor_names` (you may also need to update `LLM_TENSOR_NAMES`)
-3. Add any non-standard metadata loading in the `llama_model_loader` constructor in `src/llama-model-loader.cpp`.
-4. If the model has a RoPE operation, add a case for the architecture in `llama_model_rope_type` function in `src/llama-model.cpp`.
-
-NOTE: The dimensions in `ggml` are typically in the reverse order of the `pytorch` dimensions.
-
-### 3. Build the GGML graph implementation
-
-This is the funniest part, you have to provide the inference graph implementation of the new model architecture in `src/llama-model.cpp`.
-Create a new struct that inherits from `llm_graph_context` and implement the graph-building logic in its constructor.
-Have a look at existing implementations like `llm_build_llama`, `llm_build_dbrx` or `llm_build_bert`.
-Then, in the `llama_model::build_graph` method, add a case for your architecture to instantiate your new graph-building struct.
-
-Some `ggml` backends do not support all operations. Backend implementations can be added in a separate PR.
-
-Note: to debug the inference graph: you can use [llama-eval-callback](/examples/eval-callback/).
-
-## GGUF specification
-
-https://github.com/ggml-org/ggml/blob/master/docs/gguf.md
-
-## Resources
-
-- YaRN RoPE scaling https://github.com/ggml-org/llama.cpp/pull/2268
-- support Baichuan serial models https://github.com/ggml-org/llama.cpp/pull/3009
-- support attention bias https://github.com/ggml-org/llama.cpp/pull/4283
-- Mixtral support https://github.com/ggml-org/llama.cpp/pull/4406
-- BERT embeddings https://github.com/ggml-org/llama.cpp/pull/5423
-- Grok-1 support https://github.com/ggml-org/llama.cpp/pull/6204
-- Command R Plus support https://github.com/ggml-org/llama.cpp/pull/6491
-- support arch DBRX https://github.com/ggml-org/llama.cpp/pull/6515
-- How to convert HuggingFace model to GGUF format https://github.com/ggml-org/llama.cpp/discussions/2948
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa51f9da6e14f7b0cf0d7331169710060a05528d02d0974b62ea66fecee1f505
+size 9351
diff --git a/docs/docker.md b/docs/docker.md
index a3b263497cda3fa11971b7fd95ddf1dd6d1d8f13..18d93cc779ddd2db83106f8c455855a4c8758ddf 100644
--- a/docs/docker.md
+++ b/docs/docker.md
@@ -1,133 +1,3 @@
-# Docker
-
-## Prerequisites
-* Docker must be installed and running on your system.
-* Create a folder to store big models & intermediate files (ex. /llama/models)
-
-## Images
-We have three Docker images available for this project:
-
-1. `ghcr.io/ggml-org/llama.cpp:full`: This image includes both the `llama-cli` and `llama-completion` executables and the tools to convert LLaMA models into ggml and convert into 4-bit quantization. (platforms: `linux/amd64`, `linux/arm64`, `linux/s390x`)
-2. `ghcr.io/ggml-org/llama.cpp:light`: This image only includes the `llama-cli` and `llama-completion` executables. (platforms: `linux/amd64`, `linux/arm64`, `linux/s390x`)
-3. `ghcr.io/ggml-org/llama.cpp:server`: This image only includes the `llama-server` executable. (platforms: `linux/amd64`, `linux/arm64`, `linux/s390x`)
-
-Additionally, there the following images, similar to the above:
-
-- `ghcr.io/ggml-org/llama.cpp:full-cuda`: Same as `full` but compiled with CUDA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:light-cuda`: Same as `light` but compiled with CUDA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:server-cuda`: Same as `server` but compiled with CUDA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:full-rocm`: Same as `full` but compiled with ROCm support. (platforms: `linux/amd64`, `linux/arm64`)
-- `ghcr.io/ggml-org/llama.cpp:light-rocm`: Same as `light` but compiled with ROCm support. (platforms: `linux/amd64`, `linux/arm64`)
-- `ghcr.io/ggml-org/llama.cpp:server-rocm`: Same as `server` but compiled with ROCm support. (platforms: `linux/amd64`, `linux/arm64`)
-- `ghcr.io/ggml-org/llama.cpp:full-musa`: Same as `full` but compiled with MUSA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:light-musa`: Same as `light` but compiled with MUSA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:server-musa`: Same as `server` but compiled with MUSA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:full-intel`: Same as `full` but compiled with SYCL support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:light-intel`: Same as `light` but compiled with SYCL support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:server-intel`: Same as `server` but compiled with SYCL support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:full-vulkan`: Same as `full` but compiled with Vulkan support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:light-vulkan`: Same as `light` but compiled with Vulkan support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:server-vulkan`: Same as `server` but compiled with Vulkan support. (platforms: `linux/amd64`)
-
-The GPU enabled images are not currently tested by CI beyond being built. They are not built with any variation from the ones in the Dockerfiles defined in [.devops/](../.devops/) and the GitHub Action defined in [.github/workflows/docker.yml](../.github/workflows/docker.yml). If you need different settings (for example, a different CUDA, ROCm or MUSA library, you'll need to build the images locally for now).
-
-## Usage
-
-The easiest way to download the models, convert them to ggml and optimize them is with the --all-in-one command which includes the full docker image.
-
-Replace `/path/to/models` below with the actual path where you downloaded the models.
-
-```bash
-docker run -v /path/to/models:/models ghcr.io/ggml-org/llama.cpp:full --all-in-one "/models/" 7B
-```
-
-On completion, you are ready to play!
-
-```bash
-docker run -v /path/to/models:/models ghcr.io/ggml-org/llama.cpp:full --run -m /models/7B/ggml-model-q4_0.gguf
-docker run -v /path/to/models:/models ghcr.io/ggml-org/llama.cpp:full --run-legacy -m /models/32B/ggml-model-q8_0.gguf -no-cnv -p "Building a mobile app can be done in 15 steps:" -n 512
-```
-
-or with a light image:
-
-```bash
-docker run -v /path/to/models:/models --entrypoint /app/llama-cli ghcr.io/ggml-org/llama.cpp:light -m /models/7B/ggml-model-q4_0.gguf
-docker run -v /path/to/models:/models --entrypoint /app/llama-completion ghcr.io/ggml-org/llama.cpp:light -m /models/32B/ggml-model-q8_0.gguf -no-cnv -p "Building a mobile app can be done in 15 steps:" -n 512
-```
-
-or with a server image:
-
-```bash
-docker run -v /path/to/models:/models -p 8080:8080 ghcr.io/ggml-org/llama.cpp:server -m /models/7B/ggml-model-q4_0.gguf --port 8080 --host 0.0.0.0 -n 512
-```
-
-In the above examples, `--entrypoint /app/llama-cli` is specified for clarity, but you can safely omit it since it's the default entrypoint in the container.
-
-## Docker With CUDA
-
-Assuming one has the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-container-toolkit) properly installed on Linux, or is using a GPU enabled cloud, `cuBLAS` should be accessible inside the container.
-
-## Building Docker locally
-
-```bash
-docker build -t local/llama.cpp:full-cuda --target full -f .devops/cuda.Dockerfile .
-docker build -t local/llama.cpp:light-cuda --target light -f .devops/cuda.Dockerfile .
-docker build -t local/llama.cpp:server-cuda --target server -f .devops/cuda.Dockerfile .
-```
-
-You may want to pass in some different `ARGS`, depending on the CUDA environment supported by your container host, as well as the GPU architecture.
-
-The defaults are:
-
-- `CUDA_VERSION` set to `12.4.0`
-- `CUDA_DOCKER_ARCH` set to the cmake build default, which includes all the supported architectures
-
-The resulting images, are essentially the same as the non-CUDA images:
-
-1. `local/llama.cpp:full-cuda`: This image includes both the `llama-cli` and `llama-completion` executables and the tools to convert LLaMA models into ggml and convert into 4-bit quantization.
-2. `local/llama.cpp:light-cuda`: This image only includes the `llama-cli` and `llama-completion` executables.
-3. `local/llama.cpp:server-cuda`: This image only includes the `llama-server` executable.
-
-## Usage
-
-After building locally, Usage is similar to the non-CUDA examples, but you'll need to add the `--gpus` flag. You will also want to use the `--n-gpu-layers` flag.
-
-```bash
-docker run --gpus all -v /path/to/models:/models local/llama.cpp:full-cuda --run -m /models/7B/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 1
-docker run --gpus all -v /path/to/models:/models local/llama.cpp:light-cuda -m /models/7B/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 1
-docker run --gpus all -v /path/to/models:/models local/llama.cpp:server-cuda -m /models/7B/ggml-model-q4_0.gguf --port 8080 --host 0.0.0.0 -n 512 --n-gpu-layers 1
-```
-
-## Docker With MUSA
-
-Assuming one has the [mt-container-toolkit](https://developer.mthreads.com/musa/native) properly installed on Linux, `muBLAS` should be accessible inside the container.
-
-## Building Docker locally
-
-```bash
-docker build -t local/llama.cpp:full-musa --target full -f .devops/musa.Dockerfile .
-docker build -t local/llama.cpp:light-musa --target light -f .devops/musa.Dockerfile .
-docker build -t local/llama.cpp:server-musa --target server -f .devops/musa.Dockerfile .
-```
-
-You may want to pass in some different `ARGS`, depending on the MUSA environment supported by your container host, as well as the GPU architecture.
-
-The defaults are:
-
-- `MUSA_VERSION` set to `rc4.3.0`
-
-The resulting images, are essentially the same as the non-MUSA images:
-
-1. `local/llama.cpp:full-musa`: This image includes both the `llama-cli` and `llama-completion` executables and the tools to convert LLaMA models into ggml and convert into 4-bit quantization.
-2. `local/llama.cpp:light-musa`: This image only includes the `llama-cli` and `llama-completion` executables.
-3. `local/llama.cpp:server-musa`: This image only includes the `llama-server` executable.
-
-## Usage
-
-After building locally, Usage is similar to the non-MUSA examples, but you'll need to set `mthreads` as default Docker runtime. This can be done by executing `(cd /usr/bin/musa && sudo ./docker setup $PWD)` and verifying the changes by executing `docker info | grep mthreads` on the host machine. You will also want to use the `--n-gpu-layers` flag.
-
-```bash
-docker run -v /path/to/models:/models local/llama.cpp:full-musa --run -m /models/7B/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 1
-docker run -v /path/to/models:/models local/llama.cpp:light-musa -m /models/7B/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 1
-docker run -v /path/to/models:/models local/llama.cpp:server-musa -m /models/7B/ggml-model-q4_0.gguf --port 8080 --host 0.0.0.0 -n 512 --n-gpu-layers 1
-```
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+oid sha256:9624511c3af9b7297bfdf14f64065b722eaafb0d0d039ad6aa498e3431ba73f2
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diff --git a/docs/multimodal.md b/docs/multimodal.md
index e2e12d07df11c9dd103f662ed00721dc46e9ebca..9c65c53aa241fbaf5df77506fb3a9c18d51a3737 100644
--- a/docs/multimodal.md
+++ b/docs/multimodal.md
@@ -1,116 +1,3 @@
-# Multimodal
-
-llama.cpp supports multimodal input via `libmtmd`. Currently, there are 2 tools support this feature:
-- [llama-mtmd-cli](../tools/mtmd/README.md)
-- [llama-server](../tools/server/README.md) via OpenAI-compatible `/chat/completions` API
-
-Currently, we support **image** and **audio** input. Audio is highly experimental and may have reduced quality.
-
-To enable it, you can use one of the 2 methods below:
-
-- Use `-hf` option with a supported model (see a list of pre-quantized model below)
-    - To load a model using `-hf` while disabling multimodal, use `--no-mmproj`
-    - To load a model using `-hf` while using a custom mmproj file, use `--mmproj local_file.gguf`
-- Use `-m model.gguf` option with `--mmproj file.gguf` to specify text and multimodal projector respectively
-
-By default, multimodal projector will be offloaded to GPU. To disable this, add `--no-mmproj-offload`
-
-For example:
-
-```sh
-# simple usage with CLI
-llama-mtmd-cli -hf ggml-org/gemma-3-4b-it-GGUF
-
-# simple usage with server
-llama-server -hf ggml-org/gemma-3-4b-it-GGUF
-
-# using local file
-llama-server -m gemma-3-4b-it-Q4_K_M.gguf --mmproj mmproj-gemma-3-4b-it-Q4_K_M.gguf
-
-# no GPU offload
-llama-server -hf ggml-org/gemma-3-4b-it-GGUF --no-mmproj-offload
-```
-
-## Pre-quantized models
-
-These are ready-to-use models, most of them come with `Q4_K_M` quantization by default. They can be found at the Hugging Face page of the ggml-org: https://huggingface.co/collections/ggml-org/multimodal-ggufs-68244e01ff1f39e5bebeeedc
-
-Replaces the `(tool_name)` with the name of binary you want to use. For example, `llama-mtmd-cli` or `llama-server`
-
-NOTE: some models may require large context window, for example: `-c 8192`
-
-**Vision models**:
-
-```sh
-# Gemma 3
-(tool_name) -hf ggml-org/gemma-3-4b-it-GGUF
-(tool_name) -hf ggml-org/gemma-3-12b-it-GGUF
-(tool_name) -hf ggml-org/gemma-3-27b-it-GGUF
-
-# SmolVLM
-(tool_name) -hf ggml-org/SmolVLM-Instruct-GGUF
-(tool_name) -hf ggml-org/SmolVLM-256M-Instruct-GGUF
-(tool_name) -hf ggml-org/SmolVLM-500M-Instruct-GGUF
-(tool_name) -hf ggml-org/SmolVLM2-2.2B-Instruct-GGUF
-(tool_name) -hf ggml-org/SmolVLM2-256M-Video-Instruct-GGUF
-(tool_name) -hf ggml-org/SmolVLM2-500M-Video-Instruct-GGUF
-
-# Pixtral 12B
-(tool_name) -hf ggml-org/pixtral-12b-GGUF
-
-# Qwen 2 VL
-(tool_name) -hf ggml-org/Qwen2-VL-2B-Instruct-GGUF
-(tool_name) -hf ggml-org/Qwen2-VL-7B-Instruct-GGUF
-
-# Qwen 2.5 VL
-(tool_name) -hf ggml-org/Qwen2.5-VL-3B-Instruct-GGUF
-(tool_name) -hf ggml-org/Qwen2.5-VL-7B-Instruct-GGUF
-(tool_name) -hf ggml-org/Qwen2.5-VL-32B-Instruct-GGUF
-(tool_name) -hf ggml-org/Qwen2.5-VL-72B-Instruct-GGUF
-
-# Mistral Small 3.1 24B (IQ2_M quantization)
-(tool_name) -hf ggml-org/Mistral-Small-3.1-24B-Instruct-2503-GGUF
-
-# InternVL 2.5 and 3
-(tool_name) -hf ggml-org/InternVL2_5-1B-GGUF
-(tool_name) -hf ggml-org/InternVL2_5-4B-GGUF
-(tool_name) -hf ggml-org/InternVL3-1B-Instruct-GGUF
-(tool_name) -hf ggml-org/InternVL3-2B-Instruct-GGUF
-(tool_name) -hf ggml-org/InternVL3-8B-Instruct-GGUF
-(tool_name) -hf ggml-org/InternVL3-14B-Instruct-GGUF
-
-# Llama 4 Scout
-(tool_name) -hf ggml-org/Llama-4-Scout-17B-16E-Instruct-GGUF
-
-# Moondream2 20250414 version
-(tool_name) -hf ggml-org/moondream2-20250414-GGUF
-
-```
-
-**Audio models**:
-
-```sh
-# Ultravox 0.5
-(tool_name) -hf ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF
-(tool_name) -hf ggml-org/ultravox-v0_5-llama-3_1-8b-GGUF
-
-# Qwen2-Audio and SeaLLM-Audio
-# note: no pre-quantized GGUF this model, as they have very poor result
-# ref: https://github.com/ggml-org/llama.cpp/pull/13760
-
-# Mistral's Voxtral
-(tool_name) -hf ggml-org/Voxtral-Mini-3B-2507-GGUF
-```
-
-**Mixed modalities**:
-
-```sh
-# Qwen2.5 Omni
-# Capabilities: audio input, vision input
-(tool_name) -hf ggml-org/Qwen2.5-Omni-3B-GGUF
-(tool_name) -hf ggml-org/Qwen2.5-Omni-7B-GGUF
-```
-
-## Finding more models:
-
-GGUF models on Huggingface with vision capabilities can be found here: https://huggingface.co/models?pipeline_tag=image-text-to-text&sort=trending&search=gguf
+version https://git-lfs.github.com/spec/v1
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diff --git a/docs/ops.md b/docs/ops.md
index 1357771442011521346fb7e7e8fb728db86a8fff..2f62ef7fabfc52fbeb338d932382f80ec891752d 100644
--- a/docs/ops.md
+++ b/docs/ops.md
@@ -1,121 +1,3 @@
-# GGML Operations
-
-List of GGML operations and backend support status.
-
-## How to add a backend to this table:
-
-1. Run `test-backend-ops support --output csv` with your backend name and redirect output to a csv file in `docs/ops/` (e.g., `docs/ops/CUDA.csv`)
-2. Regenerate `/docs/ops.md` via `./scripts/create_ops_docs.py`
-
-Legend:
-- ✅ Fully supported by this backend
-- 🟡 Partially supported by this backend
-- ❌ Not supported by this backend
-
-| Operation | BLAS | CANN | CPU | CUDA | Metal | OpenCL | SYCL | Vulkan | WebGPU | ZenDNN | zDNN |
-|-----------|------|------|------|------|------|------|------|------|------|------|------|
-|                              ABS | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                              ACC | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ |
-|                              ADD | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                             ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                           ADD_ID | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                           ARANGE | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                           ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                          ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
-|                             CEIL | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                            CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                           CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                             CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
-|                          CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                       CONV_2D_DW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                          CONV_3D | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-|                CONV_TRANSPOSE_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                CONV_TRANSPOSE_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                              COS | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                      COUNT_EQUAL | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                              CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
-|               CROSS_ENTROPY_LOSS | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-|          CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-|                           CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
-|                             DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                    DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                              DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                              DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                              ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                              EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                            EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ |
-|                             FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
-|                   FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
-|                            FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                  GATED_DELTA_NET | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
-|                GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
-|                            GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                        GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                      GEGLU_QUICK | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                             GELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                         GELU_ERF | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                       GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                         GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
-|                    GET_ROWS_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-|                       GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                      HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                        HARDSWISH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                           IM2COL | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                        IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                          L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                       LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ |
-|                              LOG | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ |
-|                             MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                              MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                          MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
-|                       MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ |
-|                              NEG | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                             NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ❌ | ❌ | ❌ |
-|                   OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                     OPT_STEP_SGD | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                         OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | 🟡 |
-|                              PAD | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
-|                   PAD_REFLECT_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
-|                          POOL_1D | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-|                          POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                             RELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                           REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                      REPEAT_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                         RMS_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                    RMS_NORM_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                             ROLL | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                             ROPE | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                        ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            ROUND | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                        RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                        RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                              SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ |
-|                         SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
-|                              SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                          SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                             SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                        SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                              SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                         SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                         SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                    SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ |
-|                        SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                              SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                             SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                         SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                         SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ |
-|                             STEP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                              SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                              SUM | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
-|                         SUM_ROWS | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
-|                           SWIGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                       SWIGLU_OAI | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                             TANH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|               TIMESTEP_EMBEDDING | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                              TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                          UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce7fe762d00a2c792bd00501104b1fd58d8c10c36967fee86b0ba9b3f24ba0f8
+size 11752
diff --git a/docs/ops/Metal.csv b/docs/ops/Metal.csv
index 02fd75fdbf6ad6656566126301093be7e6d4c391..ec34bb66b8999f8641afa97d3bebb1011cc85331 100644
--- a/docs/ops/Metal.csv
+++ b/docs/ops/Metal.csv
@@ -1,18780 +1,15959 @@
 "backend_name","op_name","op_params","test_mode","supported","error_message","backend_reg_name"
-"Metal","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","SIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","GELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","GELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","SILU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","SILU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","EXP","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","EXP","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","EXPM1","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","EXPM1","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SGN","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","NEG","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","NEG","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","STEP","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","STEP","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","TANH","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","TANH","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","ELU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","ELU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","RELU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","RELU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SIGMOID","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","GELU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","GELU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SILU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SILU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","EXP","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","EXP","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","EXPM1","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","EXPM1","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","NEG","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","NEG","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","STEP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","STEP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","TANH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","TANH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","RELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","RELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","SIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","SIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","GELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","GELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","GELU_QUICK","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","GELU_QUICK","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","SILU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","SILU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","HARDSWISH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","HARDSWISH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","HARDSIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","EXP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","EXP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","EXPM1","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","EXPM1","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal"
-"Metal","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal"
-"Metal","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal"
-"Metal","ABS","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","ABS","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SGN","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SGN","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","NEG","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","NEG","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","STEP","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","STEP","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","TANH","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","TANH","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","ELU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","ELU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","RELU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","RELU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SIGMOID","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SIGMOID","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","GELU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","GELU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","GELU_QUICK","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","GELU_QUICK","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SILU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SILU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","HARDSWISH","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","HARDSWISH","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","HARDSIGMOID","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","EXP","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","EXP","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","EXPM1","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","EXPM1","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","FLOOR","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","FLOOR","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal"
-"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal"
-"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal"
-"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal"
-"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal"
-"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal"
-"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal"
-"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal"
-"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal"
-"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal"
-"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal"
-"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=0.500000,limit=2.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=0.500000,limit=7.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=1.702000,limit=2.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=1.702000,limit=7.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=0.500000,limit=2.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=0.500000,limit=7.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=1.702000,limit=2.000000","support","1","yes","Metal"
-"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=1.702000,limit=7.000000","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=76800,m=5,r=4,be1=1,be2=2,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=256,m=80000,r=70000,be1=2,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=700,be2=100,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=76800,m=5,r=4,be1=1,be2=2,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=256,m=80000,r=70000,be1=2,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=700,be2=100,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=1,m=8,r=2,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal"
-"Metal","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal"
-"Metal","GET_ROWS_BACK","type=f32,n=1,m=8,r=2,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=f16,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=f16,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=bf16,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=bf16,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q4_0,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q4_0,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q4_1,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q4_1,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q5_0,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q5_0,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q5_1,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q5_1,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q3_K,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q3_K,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q4_K,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q4_K,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q5_K,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q5_K,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q6_K,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=q6_K,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq2_xxs,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq2_xxs,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq2_xs,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq2_xs,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq2_s,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq2_s,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq3_xxs,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq3_xxs,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq1_s,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq1_s,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq1_m,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq1_m,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq4_nl,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq4_nl,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq3_s,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq3_s,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq4_xs,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=iq4_xs,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=i32,n=256,m=5,r=4,b=1,v=0","support","0","no","Metal"
-"Metal","GET_ROWS_BACK","type=i32,n=256,m=5,r=4,b=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[1,8,1,3],nr23=[1,1],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i32,ne=[1,8,1,3],nr23=[1,1],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i32,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=f16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q4_1,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q5_1,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q3_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q4_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q5_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=q6_K,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xxs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_xs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq2_s,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_xxs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_s,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq1_m,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq4_nl,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq3_s,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","Metal"
-"Metal","SET_ROWS","type=iq4_xs,type_idx=i64,ne=[768,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal"
-"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=3,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=3,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=0,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=0,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=3,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=3,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,3,1],ne_kernel=[3,3,3,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,3,1],ne_kernel=[3,3,3,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,3,1],ne_kernel=[3,3,3,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,32],ne_kernel=[3,3,1,32],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,32],ne_kernel=[3,3,2,32],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,1024],ne_kernel=[3,3,1,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,1024],ne_kernel=[3,3,2,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2048],ne_kernel=[3,3,1,2048],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2048],ne_kernel=[3,3,2,2048],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal"
-"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal"
-"Metal","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=0","support","0","no","Metal"
-"Metal","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=1","support","0","no","Metal"
-"Metal","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=0","support","0","no","Metal"
-"Metal","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=1","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[197,32,1,1],ne_kernel=[16,32,32,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=3,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=2,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","Metal"
-"Metal","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","Metal"
-"Metal","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","Metal"
-"Metal","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[32,513,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[100,10,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[1024,10,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[1024,12,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[2000,10,1,1]","support","1","yes","Metal"
-"Metal","ARGMAX","type=f32,ne=[5438,3,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,2,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","Metal"
-"Metal","REPEAT","type=i32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=i16,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,2,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,2,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","Metal"
-"Metal","REPEAT","type=i32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","Metal"
-"Metal","REPEAT","type=i16,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,1],v=0","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[2,1,1,1],v=0","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,2,1,1],v=0","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,2,1],v=0","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,2],v=0","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,1],v=1","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[2,1,1,1],v=1","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,2,1,1],v=1","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,2,1],v=1","support","0","no","Metal"
-"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,2],v=1","support","0","no","Metal"
-"Metal","DUP","type=f32,ne=[10,10,20,1]","support","1","yes","Metal"
-"Metal","DUP","type=f16,ne=[10,10,20,1]","support","1","yes","Metal"
-"Metal","DUP","type=i32,ne=[10,10,20,1]","support","1","yes","Metal"
-"Metal","DUP","type=i16,ne=[10,10,20,1]","support","0","no","Metal"
-"Metal","DUP","type=f32,ne=[10,10,5,1],permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","DUP","type=f16,ne=[10,10,5,1],permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","DUP","type=f32,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Metal"
-"Metal","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Metal"
-"Metal","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","0","no","Metal"
-"Metal","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","Metal"
-"Metal","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","Metal"
-"Metal","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","Metal"
-"Metal","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","Metal"
-"Metal","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","Metal"
-"Metal","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=q2_K,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=q3_K,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=q4_K,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=q5_K,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=q6_K,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=iq2_xxs,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=iq2_xs,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=iq2_s,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=iq3_xxs,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=iq1_s,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q4_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q5_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q5_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q5_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q4_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q5_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q6_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq2_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq2_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq2_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq3_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq1_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq1_m,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq4_nl,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq4_nl,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq3_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q4_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q5_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q5_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q5_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q4_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q5_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q6_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq2_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq2_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq2_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq3_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq1_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq1_m,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq4_nl,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq4_nl,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq3_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=bf16,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q4_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q5_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q5_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q5_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q4_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q5_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q6_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq2_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq2_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq2_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq3_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq1_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq1_m,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq4_nl,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq4_nl,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq3_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q4_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q4_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q5_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q5_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q3_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q4_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q5_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=q6_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xxs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_xs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq2_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_xxs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq1_m,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_nl,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq3_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=iq4_xs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,3],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=i32,type_dst=i32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal"
-"Metal","CPY","type_src=i32,type_dst=i32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[2,1,1,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[2,1,3,5],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[2,3,5,7],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[1,4,4,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[1,8,17,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[10,10,10,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f32,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[2,1,1,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[2,1,3,5],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[2,3,5,7],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[1,4,4,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[1,8,17,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[10,10,10,1],use_view_slice=1","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=i32,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f16,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f16,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f16,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=f16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=bf16,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=bf16,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=bf16,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal"
-"Metal","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal"
-"Metal","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal"
-"Metal","ADD1","type=f32,ne=[10,5,4,3]","support","0","no","Metal"
-"Metal","ADD1","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","Metal"
-"Metal","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=1","support","1","yes","Metal"
-"Metal","SCALE","type=f32,ne=[100,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","Metal"
-"Metal","SILU_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","0","no","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000000","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","0","no","Metal"
-"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Metal"
-"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","0","no","Metal"
-"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Metal"
-"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","0","no","Metal"
-"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Metal"
-"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Metal"
-"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","0","no","Metal"
-"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal"
-"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","Metal"
-"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Metal"
-"Metal","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal"
-"Metal","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal"
-"Metal","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal"
-"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","1","yes","Metal"
-"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","1","yes","Metal"
-"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal"
-"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","1","yes","Metal"
-"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","1","yes","Metal"
-"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","1","yes","Metal"
-"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal"
-"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","1","yes","Metal"
-"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","0","no","Metal"
-"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","0","no","Metal"
-"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","0","no","Metal"
-"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","0","no","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=128,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=64,n=45,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=45,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=32,n=1024,k=16","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=2,n_used=2,b=0,m=32,n=8192,k=64","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=50,n=200,k=64","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=32,n=1024,k=16","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=2,n_used=2,b=1,m=32,n=8192,k=64","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=50,n=200,k=64","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=1,n_used=1,b=0,m=8,n=16,k=1","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=32,n_used=2,b=0,m=2880,n=32,k=2880","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q5_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q5_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q5_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q5_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q3_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q3_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q5_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q5_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q6_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=q6_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq2_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq3_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq3_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq1_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq1_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq1_m,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq1_m,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq4_nl,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq4_nl,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal"
-"Metal","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal"
-"Metal","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
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-"Metal","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","Metal"
-"Metal","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=1,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=1,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=1,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=1,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=1,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=1,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=2,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=2,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=2,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=2,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=2,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=2,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=4,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=4,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=4,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=4,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=4,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=4,n_experts_used=4,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=1,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=1,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=1,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=1,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=1,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=1,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=2,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=2,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=2,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=2,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=2,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=2,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=4,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=4,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=4,n_token=129","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=1","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=32","support","1","yes","Metal"
-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=129","support","1","yes","Metal"
-"Metal","SQR","type=f16,ne=[10,5,4,3]","support","0","no","Metal"
-"Metal","SQRT","type=f16,ne=[10,3,3,2]","support","0","no","Metal"
-"Metal","LOG","type=f16,ne=[10,5,4,3]","support","0","no","Metal"
-"Metal","SIN","type=f16,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","COS","type=f16,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","0","no","Metal"
-"Metal","LEAKY_RELU","type=f16,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","SQR","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","LOG","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","SIN","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","COS","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","Metal"
-"Metal","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","FLOOR","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","CEIL","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","ROUND","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","TRUNC","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
-"Metal","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","Metal"
-"Metal","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
-"Metal","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","Metal"
-"Metal","COS","type=f32,ne=[10,2,2,2]","support","1","yes","Metal"
-"Metal","CLAMP","type=f32,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","Metal"
-"Metal","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","Metal"
-"Metal","FLOOR","type=f32,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne=[10,2,2,2]","support","0","no","Metal"
-"Metal","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","Metal"
-"Metal","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","Metal"
-"Metal","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","Metal"
-"Metal","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","Metal"
-"Metal","COS","type=f32,ne=[7,1,5,3]","support","1","yes","Metal"
-"Metal","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","Metal"
-"Metal","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","Metal"
-"Metal","FLOOR","type=f32,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","FLOOR","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","CEIL","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","ROUND","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne=[7,1,5,3]","support","0","no","Metal"
-"Metal","TRUNC","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal"
-"Metal","DIAG_MASK_INF","type=f32,ne=[10,10,1,1],n_past=5","support","0","no","Metal"
-"Metal","DIAG_MASK_INF","type=f32,ne=[10,10,3,1],n_past=5","support","0","no","Metal"
-"Metal","DIAG_MASK_INF","type=f32,ne=[10,10,3,2],n_past=5","support","0","no","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f32,nr23=[3,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[2,3],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f16,nr23=[3,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[2,3],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f32,nr23=[3,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[2,3],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f16,nr23=[3,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[2,3],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f32,nr23=[3,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[2,3],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f16,nr23=[3,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[2,3],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f32,nr23=[3,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[2,3],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f16,nr23=[3,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[2,3],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f32,nr23=[3,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[2,3],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f16,nr23=[3,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[2,3],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f32,nr23=[3,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[2,3],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f16,nr23=[3,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[2,3],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f32,nr23=[3,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[2,3],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f16,nr23=[3,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[2,3],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f32,nr23=[3,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[2,3],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=1,m_prec=f16,nr23=[3,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[2,3],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,1023,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,15,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,1023,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,1023,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,2,3],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,15,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,2,3],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,1023,1,1],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,2,3],scale=0.100000,max_bias=0.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,1023,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,2,3],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,15,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,2,3],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,1023,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,2,3],scale=1.000000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[15,1023,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,15,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,1023,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal"
-"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","Metal"
-"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[8,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[15,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[31,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[32,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[63,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[64,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[127,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[128,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[255,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[256,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[511,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[512,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1023,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1024,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2047,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2048,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[4095,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[4096,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[8191,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[8192,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16383,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16384,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[32767,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[32768,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[65535,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[65536,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[131071,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[131072,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[262143,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[262144,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[524287,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[524288,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1048575,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1048576,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16,10,10,10],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[60,10,10,10],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1023,2,1,3],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1024,2,1,3],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1025,2,1,3],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2047,2,1,3],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2048,2,1,3],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2049,2,1,3],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2,8,8192,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[8,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[15,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[31,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[32,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[63,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[64,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[127,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[128,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[255,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[256,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[511,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[512,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1023,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1024,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2047,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2048,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[4095,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[4096,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[8191,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[8192,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16383,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16384,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[32767,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[32768,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[65535,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[65536,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[131071,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[131072,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[262143,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[262144,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[524287,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[524288,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1048575,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1048576,1,1,1],order=0","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[16,10,10,10],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[60,10,10,10],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1023,2,1,3],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1024,2,1,3],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[1025,2,1,3],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2047,2,1,3],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","Metal"
-"Metal","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[12,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[13,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[13,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[15,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[15,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[15,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=100,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=500,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=1023,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=9999,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=1,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=2,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=3,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=7,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=15,ties=0","support","1","yes","Metal"
-"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=15,ties=0","support","1","yes","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=0","support","1","yes","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=1","support","1","yes","Metal"
-"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest,flags=none","support","1","yes","Metal"
-"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest,flags=none","support","1","yes","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=none","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic,flags=none","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=0","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=1","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=align_corners","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear,flags=align_corners","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear,flags=align_corners","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=align_corners","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic,flags=align_corners","support","0","no","Metal"
-"Metal","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic,flags=align_corners","support","0","no","Metal"
-"Metal","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Metal"
-"Metal","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","0","no","Metal"
-"Metal","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","0","no","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","Metal"
-"Metal","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
-"Metal","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","Metal"
-"Metal","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Metal"
-"Metal","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","Metal"
-"Metal","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Metal"
-"Metal","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Metal"
-"Metal","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","Metal"
-"Metal","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Metal"
-"Metal","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Metal"
-"Metal","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","Metal"
-"Metal","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","Metal"
-"Metal","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","Metal"
-"Metal","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","Metal"
-"Metal","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","0","no","Metal"
-"Metal","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","Metal"
-"Metal","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","Metal"
-"Metal","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","0","no","Metal"
-"Metal","ARANGE","type=f32,start=0.000000,stop=10.000000,step=1.000000","support","1","yes","Metal"
-"Metal","ARANGE","type=f32,start=0.000000,stop=1048576.000000,step=1.000000","support","1","yes","Metal"
-"Metal","TIMESTEP_EMBEDDING","type=f32,ne_a=[2,1,1,1],dim=320,max_period=10000","support","1","yes","Metal"
-"Metal","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[127,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[128,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[128,128,4,4]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[255,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[256,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[511,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[512,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[1023,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[1024,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[2047,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","Metal"
-"Metal","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","Metal"
-"Metal","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","Metal"
-"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","Metal"
-"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","Metal"
-"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","Metal"
-"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=0","support","1","yes","Metal"
-"Metal","FILL","type=f32,ne=[10,10,4,3],c=0.000000","support","1","yes","Metal"
-"Metal","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","1","yes","Metal"
-"Metal","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","1","yes","Metal"
-"Metal","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","1","yes","Metal"
-"Metal","DIAG","type=f32,ne=[10,1,4,3]","support","0","no","Metal"
-"Metal","DIAG","type=f32,ne=[79,1,19,13]","support","0","no","Metal"
-"Metal","DIAG","type=f32,ne=[256,1,8,16]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,2],ne_rhs=[32,128,4,2]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[80,80,2,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[79,80,2,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[81,80,2,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[80,80,8,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[79,80,8,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[81,80,8,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[84,84,4,4],ne_rhs=[32,84,4,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[95,95,8,8],ne_rhs=[40,95,8,8]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[31,128,4,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[32,128,4,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,3,4],ne_rhs=[32,128,3,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","0","no","Metal"
-"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=0","support","1","yes","Metal"
-"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=0","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=1","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=1","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=0","support","1","yes","Metal"
-"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=0","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=1","support","0","no","Metal"
-"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=1","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal"
-"Metal","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","Metal"
-"Metal","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","Metal"
-"Metal","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","Metal"
-"Metal","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","Metal"
-"Metal","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
-"Metal","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","Metal"
+"MTL0","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","SIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","GELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","GELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","SILU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","SILU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","EXP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","EXP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","EXPM1","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","EXPM1","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
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+"MTL0","TANH","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","ELU","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
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+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","MTL"
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+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","MTL"
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+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","MTL"
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+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","MTL"
+"MTL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","MTL"
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+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,32],ne_kernel=[3,3,1,32],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,32],ne_kernel=[3,3,2,32],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,1024],ne_kernel=[3,3,1,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,1024],ne_kernel=[3,3,2,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2048],ne_kernel=[3,3,1,2048],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2048],ne_kernel=[3,3,2,2048],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","MTL"
+"MTL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","MTL"
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+"MTL0","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","MTL"
+"MTL0","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","MTL"
+"MTL0","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=0","support","0","no","MTL"
+"MTL0","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=1","support","0","no","MTL"
+"MTL0","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=0","support","0","no","MTL"
+"MTL0","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=1","support","0","no","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
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+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
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+"MTL0","CPY","type_src=q4_K,type_dst=q4_K,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_K,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
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+"MTL0","CPY","type_src=q6_K,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
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+"MTL0","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[512,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[512,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[512,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[768,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[768,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=iq4_xs,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q4_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q5_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q5_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q5_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q4_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q5_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q6_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq2_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq2_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq2_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq3_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq1_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq1_m,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq4_nl,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq4_nl,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq3_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q4_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q5_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q5_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q5_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q4_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q5_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q6_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq2_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq2_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq2_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq3_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq1_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq1_m,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq4_nl,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq4_nl,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq3_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q4_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q5_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q5_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q5_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q3_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q4_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q4_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q5_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q5_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q6_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q6_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq2_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq2_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq2_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq2_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq2_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq2_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq3_xxs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq3_xxs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq1_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq1_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq1_m,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq1_m,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq4_nl,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq4_nl,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq3_s,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q4_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q4_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q5_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q5_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q3_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q4_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q5_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q6_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q6_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq2_xxs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq2_xxs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq2_xs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq2_xs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq2_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq2_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_xxs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_xxs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq1_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq1_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq1_m,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq1_m,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_nl,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq3_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=iq4_xs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,3],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=i32,type_dst=i32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
+"MTL0","CPY","type_src=i32,type_dst=i32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[2,1,1,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[2,1,3,5],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[2,3,5,7],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[1,4,4,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[1,8,17,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[10,10,10,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[2,1,1,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[2,1,3,5],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[2,3,5,7],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[1,4,4,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[1,8,17,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f32,ne=[10,10,10,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[2,1,1,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[2,1,3,5],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[2,3,5,7],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[1,4,4,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[1,8,17,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[10,10,10,1],use_view_slice=1","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[2,1,1,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[2,1,3,5],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[2,3,5,7],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[1,4,4,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[1,8,17,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=i32,ne=[10,10,10,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f16,ne=[2,1,1,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f16,ne=[2,1,3,5],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f16,ne=[2,3,5,7],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=f16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[2,1,1,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[2,1,3,5],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[2,3,5,7],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
+"MTL0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
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+"MTL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
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+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
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+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","0","no","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","MUL","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
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+"MTL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
+"MTL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","MTL"
+"MTL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","MTL"
+"MTL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=1","support","1","yes","MTL"
+"MTL0","SCALE","type=f32,ne=[100,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","MTL"
+"MTL0","SILU_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","0","no","MTL"
+"MTL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000000","support","1","yes","MTL"
+"MTL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","MTL"
+"MTL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","1","yes","MTL"
+"MTL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","MTL"
+"MTL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","0","no","MTL"
+"MTL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","MTL"
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+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=128,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=45,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=45,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q6_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq2_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq1_m,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=32,n=1024,k=16","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=2,n_used=2,b=0,m=32,n=8192,k=64","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=50,n=200,k=64","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=32,n=1024,k=16","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=2,n_used=2,b=1,m=32,n=8192,k=64","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=50,n=200,k=64","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=1,n_used=1,b=0,m=8,n=16,k=1","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=32,n_used=2,b=0,m=2880,n=32,k=2880","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","MTL"
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+"MTL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q5_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q5_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q5_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q5_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q3_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q3_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q5_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q5_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q6_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q6_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq2_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq2_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq2_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq2_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq3_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq3_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq1_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq1_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq1_m,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq1_m,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq4_nl,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq4_nl,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f32,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=f16,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q8_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
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+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_1,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q4_K,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=320,hsv=256,nh=1,nr23=[32,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=320,hsv=256,nh=1,nr23=[32,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
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+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","MTL"
+"MTL0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","MTL"
+"MTL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","MTL"
+"MTL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","MTL"
+"MTL0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","MTL"
+"MTL0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","MTL"
+"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","MTL"
+"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","MTL"
+"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=1,kda=1","support","0","no","MTL"
+"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","MTL"
+"MTL0","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","MTL"
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+"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","MTL"
+"MTL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","MTL"
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+"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","MTL"
diff --git a/docs/ops/WebGPU.csv b/docs/ops/WebGPU.csv
index b7761b9dd3f91ac2f3d01a663d71dee373980838..f11a3fa37260ec2bfa23024a52d0e0332a9d30c6 100644
--- a/docs/ops/WebGPU.csv
+++ b/docs/ops/WebGPU.csv
@@ -5057,12 +5057,18 @@
 "WebGPU: WebGPU","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","WebGPU"
@@ -5508,230 +5514,366 @@
 "WebGPU: WebGPU","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","WebGPU"
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@@ -5744,77 +5886,117 @@
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@@ -6698,6 +6880,7 @@
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@@ -7082,624 +7265,533 @@
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@@ -8760,16 +8852,31 @@
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 "WebGPU: WebGPU","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","WebGPU"
+"WebGPU: WebGPU","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
@@ -8778,16 +8885,31 @@
 "WebGPU: WebGPU","ROUND","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CLAMP","type=f32,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CEIL","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","WebGPU"
+"WebGPU: WebGPU","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
@@ -9516,25 +9638,65 @@
 "WebGPU: WebGPU","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","WebGPU"
@@ -9989,30 +10151,41 @@
 "WebGPU: WebGPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","0","no","WebGPU"
 "WebGPU: WebGPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","0","no","WebGPU"
 "WebGPU: WebGPU","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MEAN","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MEAN","type=f32,ne=[33,1,1,1]","support","0","no","WebGPU"
+"WebGPU: WebGPU","MEAN","type=f32,ne=[33,256,1,1]","support","0","no","WebGPU"
+"WebGPU: WebGPU","MEAN","type=f32,ne=[32769,1,1,1]","support","0","no","WebGPU"
+"WebGPU: WebGPU","MEAN","type=f32,ne=[32,1,1,1]","support","0","no","WebGPU"
+"WebGPU: WebGPU","MEAN","type=f32,ne=[32,256,1,1]","support","0","no","WebGPU"
+"WebGPU: WebGPU","MEAN","type=f32,ne=[32768,1,1,1]","support","0","no","WebGPU"
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@@ -10036,1169 +10209,277 @@
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11214,11 +10495,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11249,16 +10530,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11274,11 +10555,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11309,16 +10590,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11334,11 +10615,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11369,16 +10650,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11394,11 +10675,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11429,16 +10710,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11454,11 +10735,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11474,11 +10755,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11494,11 +10775,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11514,11 +10795,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11534,11 +10815,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11554,11 +10835,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11574,11 +10855,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11594,11 +10875,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11614,11 +10895,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11649,16 +10930,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11674,11 +10955,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11709,16 +10990,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11734,11 +11015,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11769,16 +11050,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11794,11 +11075,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11829,16 +11110,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11854,11 +11135,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11874,11 +11155,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11894,11 +11175,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11914,11 +11195,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11934,11 +11215,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11954,11 +11235,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11974,11 +11255,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -11994,11 +11275,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12014,11 +11295,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12034,11 +11315,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12054,11 +11335,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12074,11 +11355,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12094,11 +11375,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12114,11 +11395,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12134,11 +11415,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12154,11 +11435,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12174,11 +11455,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12194,11 +11475,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12214,11 +11495,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12234,11 +11515,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12254,11 +11535,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12274,11 +11555,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12294,11 +11575,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12314,11 +11595,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12334,11 +11615,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -12369,16 +11650,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12394,11 +11675,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -12429,16 +11710,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12454,11 +11735,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12474,11 +11755,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12494,11 +11775,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12514,11 +11795,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12534,11 +11815,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -12569,16 +11850,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12594,11 +11875,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -12629,16 +11910,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12654,11 +11935,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12674,11 +11955,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12694,11 +11975,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12714,11 +11995,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12734,11 +12015,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12754,11 +12035,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12774,11 +12055,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12794,11 +12075,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12814,11 +12095,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12834,11 +12115,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
@@ -12854,11 +12135,11 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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@@ -12874,6038 +12155,1632 @@
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU"
 "WebGPU: WebGPU","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SQR","type=f16,ne=[10,5,4,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f16,ne=[10,3,3,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","COS","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","COS","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","COS","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","COS","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","COS","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
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diff --git a/docs/ops/ZenDNN.csv b/docs/ops/ZenDNN.csv
index 1b955624a3e0da14de6f687365387cbc5a07e783..19d579fb8c50429e176c21d47d4b3ce049345e58 100644
--- a/docs/ops/ZenDNN.csv
+++ b/docs/ops/ZenDNN.csv
@@ -338,6 +338,10 @@
 "ZenDNN","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","ZenDNN"
+"ZenDNN","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","ZenDNN"
+"ZenDNN","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","ZenDNN"
+"ZenDNN","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","ZenDNN"
+"ZenDNN","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","ZenDNN"
@@ -417,6 +421,8 @@
 "ZenDNN","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=1","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","ZenDNN"
+"ZenDNN","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","ZenDNN"
+"ZenDNN","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=0","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=1","support","0","no","ZenDNN"
 "ZenDNN","GET_ROWS_BACK","type=q3_K,n=256,m=5,r=4,b=1,v=0","support","0","no","ZenDNN"
@@ -582,6 +588,18 @@
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 "ZenDNN","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","ZenDNN"
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+"ZenDNN","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","ZenDNN"
+"ZenDNN","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","ZenDNN"
+"ZenDNN","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","ZenDNN"
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+"ZenDNN","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","ZenDNN"
 "ZenDNN","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","ZenDNN"
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 "ZenDNN","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","ZenDNN"
@@ -878,6 +896,54 @@
 "ZenDNN","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","0","no","ZenDNN"
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+"ZenDNN","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","ZenDNN"
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+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","ZenDNN"
+"ZenDNN","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","ZenDNN"
 "ZenDNN","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","0","no","ZenDNN"
 "ZenDNN","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","0","no","ZenDNN"
 "ZenDNN","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","0","no","ZenDNN"
@@ -965,6 +1031,7 @@
 "ZenDNN","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","0","no","ZenDNN"
 "ZenDNN","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","0","no","ZenDNN"
 "ZenDNN","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","0","no","ZenDNN"
+"ZenDNN","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","0","no","ZenDNN"
 "ZenDNN","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","ZenDNN"
 "ZenDNN","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","ZenDNN"
 "ZenDNN","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","ZenDNN"
@@ -4962,8 +5029,12 @@
 "ZenDNN","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","0","no","ZenDNN"
 "ZenDNN","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","0","no","ZenDNN"
 "ZenDNN","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","0","no","ZenDNN"
-"ZenDNN","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","ZenDNN"
-"ZenDNN","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","ZenDNN"
+"ZenDNN","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","ZenDNN"
+"ZenDNN","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","ZenDNN"
+"ZenDNN","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","ZenDNN"
+"ZenDNN","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","ZenDNN"
+"ZenDNN","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","ZenDNN"
+"ZenDNN","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","ZenDNN"
 "ZenDNN","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","0","no","ZenDNN"
 "ZenDNN","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","0","no","ZenDNN"
 "ZenDNN","ARGMAX","type=f32,ne=[32,1,1,1]","support","0","no","ZenDNN"
@@ -5007,12 +5078,18 @@
 "ZenDNN","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","0","no","ZenDNN"
 "ZenDNN","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","0","no","ZenDNN"
-"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","ZenDNN"
-"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","ZenDNN"
-"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","ZenDNN"
-"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","ZenDNN"
-"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","ZenDNN"
-"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","ZenDNN"
@@ -5094,6 +5171,15 @@
 "ZenDNN","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","ZenDNN"
@@ -5238,6 +5324,8 @@
 "ZenDNN","CPY","type_src=f16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=f16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=f16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
@@ -5284,6 +5372,8 @@
 "ZenDNN","CPY","type_src=bf16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=bf16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=bf16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=bf16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
@@ -5330,6 +5420,8 @@
 "ZenDNN","CPY","type_src=f32,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=f32,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=f32,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=f32,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
@@ -5376,6 +5468,8 @@
 "ZenDNN","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
+"ZenDNN","CPY","type_src=nvfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
 "ZenDNN","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","ZenDNN"
@@ -5458,230 +5552,366 @@
 "ZenDNN","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","ZenDNN"
 "ZenDNN","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","ZenDNN"
 "ZenDNN","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
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-"ZenDNN","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
-"ZenDNN","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","ZenDNN"
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-"ZenDNN","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","ZenDNN"
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 "ZenDNN","ADD1","type=f32,ne=[10,5,4,3]","support","0","no","ZenDNN"
 "ZenDNN","ADD1","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","0","no","ZenDNN"
@@ -5694,45 +5924,117 @@
 "ZenDNN","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","0","no","ZenDNN"
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@@ -5829,6 +6131,15 @@
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 "ZenDNN","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
@@ -6497,6 +6808,68 @@
 "ZenDNN","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
@@ -6592,6 +6965,32 @@
 "ZenDNN","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=nvfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q5_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q6_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq2_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq2_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq1_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq1_m,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","ZenDNN"
@@ -6984,78 +7383,78 @@
 "ZenDNN","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=50,n=200,k=64","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=1,n_used=1,b=0,m=8,n=16,k=1","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=32,n_used=2,b=0,m=2880,n=32,k=2880","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","0","no","ZenDNN"
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-"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","0","no","ZenDNN"
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+"ZenDNN","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","ZenDNN"
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@@ -7488,6 +7887,78 @@
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+"ZenDNN","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","0","no","ZenDNN"
@@ -7592,8 +8063,8 @@
 "ZenDNN","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","0","no","ZenDNN"
 "ZenDNN","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","0","no","ZenDNN"
-"ZenDNN","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","0","no","ZenDNN"
+"ZenDNN","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","ZenDNN"
+"ZenDNN","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
@@ -8490,6 +8961,134 @@
 "ZenDNN","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
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+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
+"ZenDNN","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","ZenDNN"
 "ZenDNN","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","ZenDNN"
@@ -8666,12 +9265,19 @@
 "ZenDNN","ROUND","type=f16,ne=[10,2,2,2]","support","0","no","ZenDNN"
 "ZenDNN","TRUNC","type=f16,ne=[10,2,2,2]","support","0","no","ZenDNN"
 "ZenDNN","SQR","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","SQR","type=f16,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","SQRT","type=f16,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","LOG","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","LOG","type=f16,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","SIN","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","SIN","type=f16,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","COS","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","COS","type=f16,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","ZenDNN"
+"ZenDNN","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","ZenDNN"
 "ZenDNN","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","ZenDNN"
+"ZenDNN","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","ZenDNN"
 "ZenDNN","FLOOR","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
 "ZenDNN","FLOOR","type=f16,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","CEIL","type=f16,ne=[7,1,5,3]","support","0","no","ZenDNN"
@@ -8692,12 +9298,19 @@
 "ZenDNN","ROUND","type=f32,ne=[10,2,2,2]","support","0","no","ZenDNN"
 "ZenDNN","TRUNC","type=f32,ne=[10,2,2,2]","support","0","no","ZenDNN"
 "ZenDNN","SQR","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","SQR","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","SQRT","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","SQRT","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","LOG","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","LOG","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","SIN","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","SIN","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","COS","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
+"ZenDNN","COS","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","ZenDNN"
+"ZenDNN","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","ZenDNN"
 "ZenDNN","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","ZenDNN"
+"ZenDNN","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","ZenDNN"
 "ZenDNN","FLOOR","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
 "ZenDNN","FLOOR","type=f32,ne=[1024,1024,1,1]","support","0","no","ZenDNN"
 "ZenDNN","CEIL","type=f32,ne=[7,1,5,3]","support","0","no","ZenDNN"
@@ -8916,6 +9529,11 @@
 "ZenDNN","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SOFT_MAX","type=f32,ne=[200000,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SOFT_MAX","type=f32,ne=[200000,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","SOFT_MAX","type=f32,ne=[643251,3,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","0","no","ZenDNN"
 "ZenDNN","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","0","no","ZenDNN"
 "ZenDNN","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","0","no","ZenDNN"
@@ -8968,6 +9586,7 @@
 "ZenDNN","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
@@ -8977,6 +9596,7 @@
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
@@ -8987,11 +9607,13 @@
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9001,6 +9623,7 @@
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9011,11 +9634,13 @@
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9025,6 +9650,7 @@
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9035,11 +9661,13 @@
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9049,6 +9677,7 @@
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9059,6 +9688,7 @@
 "ZenDNN","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9184,6 +9814,7 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9193,6 +9824,7 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9203,11 +9835,13 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9217,6 +9851,7 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9227,11 +9862,13 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9241,6 +9878,7 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9251,11 +9889,13 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9265,6 +9905,7 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
@@ -9275,6 +9916,7 @@
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
+"ZenDNN","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
 "ZenDNN","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","ZenDNN"
@@ -9397,25 +10039,65 @@
 "ZenDNN","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11068,11 +10898,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11103,16 +10933,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11128,11 +10958,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11163,16 +10993,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11188,11 +11018,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11223,16 +11053,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11248,11 +11078,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11283,16 +11113,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11308,11 +11138,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11328,11 +11158,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11348,11 +11178,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11368,11 +11198,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11388,11 +11218,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11408,11 +11238,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11428,11 +11258,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11448,11 +11278,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11468,11 +11298,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11503,16 +11333,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11528,11 +11358,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11563,16 +11393,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11588,11 +11418,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11623,16 +11453,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11648,11 +11478,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11683,16 +11513,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11708,11 +11538,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11728,11 +11558,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11748,11 +11578,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11768,11 +11598,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11788,11 +11618,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11808,11 +11638,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11828,11 +11658,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11848,11 +11678,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11868,11 +11698,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11888,11 +11718,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11908,11 +11738,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11928,11 +11758,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11948,11 +11778,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11968,11 +11798,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -11988,11 +11818,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12008,11 +11838,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12028,11 +11858,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12048,11 +11878,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12068,11 +11898,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12088,11 +11918,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12108,11 +11938,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12128,11 +11958,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12148,11 +11978,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12168,11 +11998,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12188,11 +12018,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12223,16 +12053,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12248,11 +12078,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12283,16 +12113,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
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+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12308,11 +12138,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12328,11 +12158,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12348,11 +12178,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12368,11 +12198,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12388,11 +12218,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12423,16 +12253,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12448,11 +12278,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12483,16 +12313,16 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12508,11 +12338,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12528,11 +12358,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12548,11 +12378,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12568,11 +12398,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12588,11 +12418,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12608,11 +12438,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12628,11 +12458,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12648,11 +12478,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12668,11 +12498,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12688,11 +12518,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
+"ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
@@ -12708,11 +12538,11 @@
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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@@ -12728,6014 +12558,1744 @@
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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-"ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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 "ZenDNN","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","ZenDNN"
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+"ZenDNN","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","ZenDNN"
+"ZenDNN","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","ZenDNN"
+"ZenDNN","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","ZenDNN"
+"ZenDNN","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","0","no","ZenDNN"
+"ZenDNN","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","ZenDNN"
+"ZenDNN","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","ZenDNN"
diff --git a/examples/batched/CMakeLists.txt b/examples/batched/CMakeLists.txt
index 0d439f49842b562f54aee382c59f175f6df6f47b..f5850e85b147ff889b409972085b05540a1e4565 100644
--- a/examples/batched/CMakeLists.txt
+++ b/examples/batched/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-batched)
-add_executable(${TARGET} batched.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf31fc3ffe9c8b1cfa9196e3cacb2339f3b9bd1897c1401ca5a10674ba5d1107
+size 244
diff --git a/examples/batched/batched.cpp b/examples/batched/batched.cpp
index d2b2e336e759691271bb926055d33416f9d15fa0..830e45f5afd74dcfa50115838cc974815b01f838 100644
--- a/examples/batched/batched.cpp
+++ b/examples/batched/batched.cpp
@@ -24,12 +24,12 @@ int main(int argc, char ** argv) {
     params.prompt = "Hello my name is";
     params.n_predict = 32;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_BATCHED, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     // number of parallel batches
     int n_parallel = params.n_parallel;
 
diff --git a/examples/convert-llama2c-to-ggml/CMakeLists.txt b/examples/convert-llama2c-to-ggml/CMakeLists.txt
index 44e5f722a9739045dd2baa4c86900ee0b11ef908..c84e7ef748a7b44f6a1ac18acddf50bc5b5de770 100644
--- a/examples/convert-llama2c-to-ggml/CMakeLists.txt
+++ b/examples/convert-llama2c-to-ggml/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-convert-llama2c-to-ggml)
-add_executable(${TARGET} convert-llama2c-to-ggml.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a7e41b667be2846381cf169421d23cf1248d3d73b7d028f03c352ee06f92054
+size 276
diff --git a/examples/debug/CMakeLists.txt b/examples/debug/CMakeLists.txt
index 34593072be2c64c10bcbabfb35c3d75d49e26604..3a6d230d2b772c3c55b4a081fa1ea403f108b5d8 100644
--- a/examples/debug/CMakeLists.txt
+++ b/examples/debug/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-debug)
-add_executable(${TARGET} debug.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:b40eac769ccfee60c1d828d65cd41bad18e29de26dbe2d73636a28bdb90e7359
+size 240
diff --git a/examples/debug/debug.cpp b/examples/debug/debug.cpp
index 88947acbd3909868ff98860e7c72e37617c8cc6e..7ba63b4ff60465230e9c00e7423e1ac121aae3f5 100644
--- a/examples/debug/debug.cpp
+++ b/examples/debug/debug.cpp
@@ -9,6 +9,7 @@
 #include <vector>
 #include <filesystem>
 #include <fstream>
+#include <optional>
 #include <regex>
 
 static void print_usage(int /*argc*/, char ** argv) {
@@ -213,16 +214,19 @@ static bool run(llama_context * ctx, const common_params & params) {
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_DEBUG, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     llama_backend_init();
     llama_numa_init(params.numa);
 
-    base_callback_data cb_data(params, params.tensor_filter);
+    std::optional<base_callback_data> cb_data;
+    if (!params.save_logits) {
+        cb_data.emplace(params, params.tensor_filter);
+    }
 
     auto llama_init = common_init_from_params(params);
 
diff --git a/examples/diffusion/CMakeLists.txt b/examples/diffusion/CMakeLists.txt
index 396549c8029d9eafa52ea6d26ad9595289d17a29..13102b98550b083a0da8096fae04a02eed7c3999 100644
--- a/examples/diffusion/CMakeLists.txt
+++ b/examples/diffusion/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-diffusion-cli)
-add_executable(${TARGET} diffusion-cli.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:b22e34febbb299900a58503f7c5ee7eb601374e012ed9d15c7dfc9c138b50938
+size 256
diff --git a/examples/diffusion/diffusion-cli.cpp b/examples/diffusion/diffusion-cli.cpp
index d38bfe7f82d46e4317535c9d176461ed517ae416..403b9b474454c4dcbc657d70a37202a22f08cb0c 100644
--- a/examples/diffusion/diffusion-cli.cpp
+++ b/examples/diffusion/diffusion-cli.cpp
@@ -545,11 +545,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_DIFFUSION)) {
         return 1;
     }
 
-    common_init();
     llama_backend_init();
 
     llama_model_params model_params = llama_model_default_params();
@@ -601,8 +602,8 @@ int main(int argc, char ** argv) {
 
     int n_input = input_tokens.size();
 
-    if (n_input >= params.n_ctx) {
-        LOG_ERR("error: input too long (%d tokens), max context is %d\n", n_input, params.n_ctx);
+    if (static_cast<uint32_t>(n_input) >= llama_n_ctx(ctx)) {
+        LOG_ERR("error: input too long (%d tokens), max context is %d\n", n_input, llama_n_ctx(ctx));
         llama_free(ctx);
         llama_model_free(model);
         return 1;
diff --git a/examples/embedding/CMakeLists.txt b/examples/embedding/CMakeLists.txt
index 809040307d2c907486a6a4624baebedc9bdc73d4..560851ad981ad899053d6a0ed0c964c7d70630ca 100644
--- a/examples/embedding/CMakeLists.txt
+++ b/examples/embedding/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-embedding)
-add_executable(${TARGET} embedding.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6aa77d0840b5f4b253a6ddefc086d8ab425faafa3e57111ed1537023da5f3c9
+size 248
diff --git a/examples/embedding/embedding.cpp b/examples/embedding/embedding.cpp
index 33ef2a7521fae3afe41cd6adff89e0b1cf65bc7a..f6a20ef9d074b0e2117e70dbc395254220a8c76d 100644
--- a/examples/embedding/embedding.cpp
+++ b/examples/embedding/embedding.cpp
@@ -99,12 +99,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EMBEDDING)) {
         return 1;
     }
 
-    common_init();
-
     params.embedding = true;
 
     // get max number of sequences per batch
diff --git a/examples/eval-callback/CMakeLists.txt b/examples/eval-callback/CMakeLists.txt
index 6439690a5190c3661d07bd535e89e9d7a93307f3..4b55838e90b0ff70cae1701828a441e18d9ab91a 100644
--- a/examples/eval-callback/CMakeLists.txt
+++ b/examples/eval-callback/CMakeLists.txt
@@ -1,26 +1,3 @@
-set(TARGET llama-eval-callback)
-add_executable(${TARGET} eval-callback.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_BUILD_TESTS)
-    if(NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "s390x")
-        set(MODEL_NAME "tinyllamas/stories15M-q4_0.gguf")
-        set(MODEL_HASH "SHA256=66967fbece6dbe97886593fdbb73589584927e29119ec31f08090732d1861739")
-    else()
-        set(MODEL_NAME "tinyllamas/stories15M-be.Q4_0.gguf")
-        set(MODEL_HASH "SHA256=9aec857937849d976f30397e97eb1cabb53eb9dcb1ce4611ba8247fb5f44c65d")
-    endif()
-    set(MODEL_DEST "${CMAKE_BINARY_DIR}/${MODEL_NAME}")
-    set(TEST_TARGET test-eval-callback)
-    add_test(NAME ${TEST_TARGET}-download-model COMMAND ${CMAKE_COMMAND}
-        -DDEST=${MODEL_DEST}
-        -DNAME=${MODEL_NAME}
-        -DHASH=${MODEL_HASH}
-        -P ${CMAKE_SOURCE_DIR}/cmake/download-models.cmake
-    )
-    set_tests_properties(${TEST_TARGET}-download-model PROPERTIES FIXTURES_SETUP ${TEST_TARGET}-download-model)
-    add_test(NAME ${TEST_TARGET} COMMAND llama-eval-callback -m "${MODEL_DEST}" --prompt hello --seed 42 -ngl 0)
-    set_tests_properties(${TEST_TARGET} PROPERTIES FIXTURES_REQUIRED ${TEST_TARGET}-download-model)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e14f95e0e7640edde0740cea70b951379f3615a571263527a9da37595069e66
+size 1346
diff --git a/examples/eval-callback/eval-callback.cpp b/examples/eval-callback/eval-callback.cpp
index 17d162d95d3734a492ad40a979cd8cfdf207a64a..8832468451c7b86baeaa50ed7c43ab50f846094f 100644
--- a/examples/eval-callback/eval-callback.cpp
+++ b/examples/eval-callback/eval-callback.cpp
@@ -15,13 +15,18 @@ static bool run(llama_context * ctx, const common_params & params) {
 
     const bool add_bos = llama_vocab_get_add_bos(vocab);
 
-    std::vector<llama_token> tokens = common_tokenize(ctx, params.prompt, add_bos);
+    std::vector<llama_token> tokens = common_tokenize(ctx, params.prompt, add_bos, true);
 
     if (tokens.empty()) {
         LOG_ERR("%s : there are not input tokens to process - (try to provide a prompt with '-p')\n", __func__);
         return false;
     }
 
+    LOG_INF("number of input tokens = %zu\n", tokens.size());
+    for (size_t i = 0; i < tokens.size(); ++i) {
+        LOG_INF("  %d\n", tokens[i]);
+    }
+
     if (llama_decode(ctx, llama_batch_get_one(tokens.data(), tokens.size()))) {
         LOG_ERR("%s : failed to eval\n", __func__);
         return false;
@@ -37,12 +42,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     llama_backend_init();
     llama_numa_init(params.numa);
 
diff --git a/examples/gen-docs/CMakeLists.txt b/examples/gen-docs/CMakeLists.txt
index 25de0af35df6021841894396db71fdcc165f2b12..86b7a2161380f679581201496f660b712047b818 100644
--- a/examples/gen-docs/CMakeLists.txt
+++ b/examples/gen-docs/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-gen-docs)
-add_executable(${TARGET} gen-docs.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1aaad6c17fa73b307bdeab45c472741733e8831ba4c51eb5c6dd213aad82879
+size 246
diff --git a/examples/idle/CMakeLists.txt b/examples/idle/CMakeLists.txt
index d5018fec4b72facee2b77f54f3d23f2bc4e324c5..f50f07c6cab043df858e2471dc1ea5f5b4832274 100644
--- a/examples/idle/CMakeLists.txt
+++ b/examples/idle/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-idle)
-add_executable(${TARGET} idle.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f845b4edeb73cd29b2b4593339b7c4629242500cdfee384c298a02c43d85efd
+size 238
diff --git a/examples/idle/idle.cpp b/examples/idle/idle.cpp
index 000427143dbb6573dd9f95500ef978d427beb51d..409fd25c18f86d3e8e0caf04e4cedbba32d8b457 100644
--- a/examples/idle/idle.cpp
+++ b/examples/idle/idle.cpp
@@ -19,12 +19,12 @@ static void print_usage(int /*argc*/, char ** argv) {
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     // init LLM
 
     llama_backend_init();
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index 018ba49b24e024e2afe81268c9eeebdf884ce555..077fcfacac2efff5c3db97b90fce67f311386ee3 100644
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -28,9 +28,6 @@ def _build_repetition(item_rule, min_items, max_items, separator_rule=None):
     return f'({result})?' if min_items == 0 else result
 
 def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], out: list, decimals_left: int = 16, top_level: bool = True):
-    has_min = min_value != None
-    has_max = max_value != None
-
     def digit_range(from_char: str, to_char: str):
         out.append("[")
         if from_char == to_char:
@@ -106,7 +103,7 @@ def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], ou
                 out.append(to_str[i])
                 out.append("]")
 
-    if has_min and has_max:
+    if min_value is not None and max_value is not None:
         if min_value < 0 and max_value < 0:
             out.append("\"-\" (")
             _generate_min_max_int(-max_value, -min_value, out, decimals_left, top_level=True)
@@ -133,7 +130,7 @@ def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], ou
 
     less_decimals = max(decimals_left - 1, 1)
 
-    if has_min:
+    if min_value is not None:
         if min_value < 0:
             out.append("\"-\" (")
             _generate_min_max_int(None, -min_value, out, decimals_left, top_level=False)
@@ -177,7 +174,7 @@ def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], ou
                 more_digits(length - 1, less_decimals)
         return
 
-    if has_max:
+    if max_value is not None:
         if max_value >= 0:
             if top_level:
                 out.append("\"-\" [1-9] ")
diff --git a/examples/llama.android/lib/src/main/cpp/CMakeLists.txt b/examples/llama.android/lib/src/main/cpp/CMakeLists.txt
index 7862c61a3fc041586fdb7ce36997572a7b53a3d3..1ac9d3b455c9e33e9b0a691e6aa0fb05a00aa8e2 100644
--- a/examples/llama.android/lib/src/main/cpp/CMakeLists.txt
+++ b/examples/llama.android/lib/src/main/cpp/CMakeLists.txt
@@ -1,56 +1,3 @@
-cmake_minimum_required(VERSION 3.31.6)
-
-project("ai-chat" VERSION 1.0.0 LANGUAGES C CXX)
-
-set(CMAKE_C_STANDARD 11)
-set(CMAKE_C_STANDARD_REQUIRED true)
-
-set(CMAKE_CXX_STANDARD 17)
-set(CMAKE_CXX_STANDARD_REQUIRED true)
-
-set(CMAKE_C_FLAGS   "${CMAKE_C_FLAGS}"   CACHE STRING "" FORCE)
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}" CACHE STRING "" FORCE)
-
-# --------------------------------------------------------------------------
-# AI Chat library
-# --------------------------------------------------------------------------
-
-if(DEFINED ANDROID_ABI)
-    message(STATUS "Detected Android ABI: ${ANDROID_ABI}")
-    if(ANDROID_ABI STREQUAL "arm64-v8a")
-        set(GGML_SYSTEM_ARCH "ARM")
-        set(GGML_CPU_KLEIDIAI ON)
-        set(GGML_OPENMP ON)
-    elseif(ANDROID_ABI STREQUAL "x86_64")
-        set(GGML_SYSTEM_ARCH "x86")
-        set(GGML_CPU_KLEIDIAI OFF)
-        set(GGML_OPENMP OFF)
-    else()
-        message(FATAL_ERROR "Unsupported ABI: ${ANDROID_ABI}")
-    endif()
-endif()
-
-set(LLAMA_SRC ${CMAKE_CURRENT_LIST_DIR}/../../../../../../)
-add_subdirectory(${LLAMA_SRC} build-llama)
-
-add_library(${CMAKE_PROJECT_NAME} SHARED
-        ai_chat.cpp)
-
-target_compile_definitions(${CMAKE_PROJECT_NAME} PRIVATE
-        GGML_SYSTEM_ARCH=${GGML_SYSTEM_ARCH}
-        GGML_CPU_KLEIDIAI=$<BOOL:${GGML_CPU_KLEIDIAI}>
-        GGML_OPENMP=$<BOOL:${GGML_OPENMP}>
-)
-
-target_include_directories(${CMAKE_PROJECT_NAME} PRIVATE
-        ${LLAMA_SRC}
-        ${LLAMA_SRC}/common
-        ${LLAMA_SRC}/include
-        ${LLAMA_SRC}/ggml/include
-        ${LLAMA_SRC}/ggml/src)
-
-target_link_libraries(${CMAKE_PROJECT_NAME}
-        llama
-        common
-        android
-        log)
+version https://git-lfs.github.com/spec/v1
+oid sha256:825ddc929cda8b0b5b9ea8272275f9a5d63638fe03e0d52b68529fe817e75a6f
+size 1714
diff --git a/examples/llama.android/lib/src/main/cpp/ai_chat.cpp b/examples/llama.android/lib/src/main/cpp/ai_chat.cpp
index 9e460ac198902e6f30d40613af69e544649de55e..03ab96cfd834f798a6aea68d260cdb11824c590e 100644
--- a/examples/llama.android/lib/src/main/cpp/ai_chat.cpp
+++ b/examples/llama.android/lib/src/main/cpp/ai_chat.cpp
@@ -365,13 +365,13 @@ Java_com_arm_aichat_internal_InferenceEngineImpl_processSystemPrompt(
     const auto *system_prompt = env->GetStringUTFChars(jsystem_prompt, nullptr);
     LOGd("%s: System prompt received: \n%s", __func__, system_prompt);
     std::string formatted_system_prompt(system_prompt);
-    env->ReleaseStringUTFChars(jsystem_prompt, system_prompt);
 
     // Format system prompt if applicable
     const bool has_chat_template = common_chat_templates_was_explicit(g_chat_templates.get());
     if (has_chat_template) {
         formatted_system_prompt = chat_add_and_format(ROLE_SYSTEM, system_prompt);
     }
+    env->ReleaseStringUTFChars(jsystem_prompt, system_prompt);
 
     // Tokenize system prompt
     const auto system_tokens = common_tokenize(g_context, formatted_system_prompt,
@@ -414,13 +414,13 @@ Java_com_arm_aichat_internal_InferenceEngineImpl_processUserPrompt(
     const auto *const user_prompt = env->GetStringUTFChars(juser_prompt, nullptr);
     LOGd("%s: User prompt received: \n%s", __func__, user_prompt);
     std::string formatted_user_prompt(user_prompt);
-    env->ReleaseStringUTFChars(juser_prompt, user_prompt);
 
     // Format user prompt if applicable
     const bool has_chat_template = common_chat_templates_was_explicit(g_chat_templates.get());
     if (has_chat_template) {
         formatted_user_prompt = chat_add_and_format(ROLE_USER, user_prompt);
     }
+    env->ReleaseStringUTFChars(juser_prompt, user_prompt);
 
     // Decode formatted user prompts
     auto user_tokens = common_tokenize(g_context, formatted_user_prompt, has_chat_template, has_chat_template);
diff --git a/examples/lookahead/CMakeLists.txt b/examples/lookahead/CMakeLists.txt
index 3468613142de0a2be8e2b62b1f2a8bf5d0d2c510..54cc01afec0982bd72448b7960d80909401c3436 100644
--- a/examples/lookahead/CMakeLists.txt
+++ b/examples/lookahead/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-lookahead)
-add_executable(${TARGET} lookahead.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b01e0daef3d286f7bbd3b3970ea9b98864a28f20f99fc076f5e23301d878e23
+size 248
diff --git a/examples/lookahead/lookahead.cpp b/examples/lookahead/lookahead.cpp
index d5fde081c599f6c204bc49710b405d99eacbe9bb..b7f5c6de86b33c561ac0d3c80b6c300436bbb969 100644
--- a/examples/lookahead/lookahead.cpp
+++ b/examples/lookahead/lookahead.cpp
@@ -43,12 +43,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     const int W = 15; // lookahead window
     const int N = 5;  // n-gram size
     const int G = 15; // max verification n-grams
diff --git a/examples/lookup/CMakeLists.txt b/examples/lookup/CMakeLists.txt
index fba78ceda6fd72b2bd464e47c5834cf8514e235f..e898dc67498168748943966847bcd057e05563a4 100644
--- a/examples/lookup/CMakeLists.txt
+++ b/examples/lookup/CMakeLists.txt
@@ -1,23 +1,3 @@
-set(TARGET llama-lookup)
-add_executable(${TARGET} lookup.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-set(TARGET llama-lookup-create)
-add_executable(${TARGET} lookup-create.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-set(TARGET llama-lookup-merge)
-add_executable(${TARGET} lookup-merge.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-set(TARGET llama-lookup-stats)
-add_executable(${TARGET} lookup-stats.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:7524bae5f7bb8599d7fb2ab8907a189617e43cb92def2c340dfabb42b1b363da
+size 1012
diff --git a/examples/lookup/lookup-create.cpp b/examples/lookup/lookup-create.cpp
index 439e3f726eed4696e94ac7c3987a5fd728a11dc8..6b8f258a4a59850d37ab8f96aee53379c159b790 100644
--- a/examples/lookup/lookup-create.cpp
+++ b/examples/lookup/lookup-create.cpp
@@ -12,6 +12,8 @@ int main(int argc, char ** argv){
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
         return 1;
     }
diff --git a/examples/lookup/lookup-stats.cpp b/examples/lookup/lookup-stats.cpp
index c3158281c75e9d04649f36388b4b566808937c6a..847976ddc7d9998bc4bb3197ab41531a6c5be3ce 100644
--- a/examples/lookup/lookup-stats.cpp
+++ b/examples/lookup/lookup-stats.cpp
@@ -18,12 +18,12 @@ int main(int argc, char ** argv){
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
         return 1;
     }
 
-    common_init();
-
     const int n_draft = params.speculative.n_max;
 
     // init llama.cpp
diff --git a/examples/lookup/lookup.cpp b/examples/lookup/lookup.cpp
index bd216035c0bd26f1a8af7d08356b7520239bd6ef..74272f17e71c8760d0c6babf233680b212a41d9f 100644
--- a/examples/lookup/lookup.cpp
+++ b/examples/lookup/lookup.cpp
@@ -18,12 +18,12 @@ int main(int argc, char ** argv){
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
         return 1;
     }
 
-    common_init();
-
     // max. number of additional tokens to draft if match is found
     const int n_draft = params.speculative.n_max;
 
diff --git a/examples/model-conversion/scripts/causal/compare-logits.py b/examples/model-conversion/scripts/causal/compare-logits.py
index 83bd14c659f2d8ee0570b5205743a2713c604c74..181c0486301288baffcfda179b80a140903eed17 100644
--- a/examples/model-conversion/scripts/causal/compare-logits.py
+++ b/examples/model-conversion/scripts/causal/compare-logits.py
@@ -7,7 +7,7 @@ import os
 
 # Add utils directory to path for direct script execution
 sys.path.insert(0, str(Path(__file__).parent.parent / "utils"))
-from common import get_model_name_from_env_path, compare_tokens, exit_with_warning  # type: ignore[import-not-found]
+from common import get_model_name_from_env_path, compare_tokens, exit_with_warning  # type: ignore[import-not-found, ty:unresolved-import]
 
 def quick_logits_check(pytorch_file, llamacpp_file):
     """Lightweight sanity check before NMSE"""
diff --git a/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py b/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py
index 4ab778fbc79000af6f337e19779f10ad3baecfbb..b94bec4e765c47ef24d594dc706a8bf5020a1712 100644
--- a/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py
+++ b/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py
@@ -53,10 +53,10 @@ model_name = os.path.basename(model_path)
 print(f"Model name: {model_name}")
 
 prompt = "Hello world today"
-input_ids = tokenizer(prompt, return_tensors="pt").input_ids
+input_ids = tokenizer(prompt, return_tensors="pt").input_ids  # ty: ignore[call-non-callable]
 print(f"Input tokens: {input_ids}")
 print(f"Input text: {repr(prompt)}")
-print(f"Tokenized: {tokenizer.convert_ids_to_tokens(input_ids[0])}")
+print(f"Tokenized: {tokenizer.convert_ids_to_tokens(input_ids[0])}")  # ty: ignore[unresolved-attribute]
 
 with torch.no_grad():
     outputs = model(input_ids, output_hidden_states=True)
@@ -92,7 +92,7 @@ with torch.no_grad():
 
     # Print embeddings per token in the requested format
     print("\nToken embeddings:")
-    tokens = tokenizer.convert_ids_to_tokens(input_ids[0])
+    tokens = tokenizer.convert_ids_to_tokens(input_ids[0])  # ty: ignore[unresolved-attribute]
     for i, embedding in enumerate(token_embeddings):
         # Format: show first few values, ..., then last few values
         if len(embedding) > 10:
diff --git a/examples/model-conversion/scripts/embedding/run-original-model.py b/examples/model-conversion/scripts/embedding/run-original-model.py
index 0802cbcf4a2f5eb36524f2e346ce4cf50f2a28ac..614c1a86b9a56fe906ca3b3293bc6a1325d94402 100644
--- a/examples/model-conversion/scripts/embedding/run-original-model.py
+++ b/examples/model-conversion/scripts/embedding/run-original-model.py
@@ -64,7 +64,7 @@ def load_model_and_tokenizer(model_path, use_sentence_transformers=False, device
         print("Using SentenceTransformer to apply all numbered layers")
         model = SentenceTransformer(model_path)
         tokenizer = model.tokenizer
-        config = model[0].auto_model.config  # type: ignore
+        config = model[0].auto_model.config
     else:
         tokenizer = AutoTokenizer.from_pretrained(model_path)
         config = AutoConfig.from_pretrained(model_path, trust_remote_code=True)
@@ -108,8 +108,8 @@ def load_model_and_tokenizer(model_path, use_sentence_transformers=False, device
         print(f"Model file: {type(model).__module__}")
 
         # Verify the model is using the correct sliding window
-        if hasattr(model.config, 'sliding_window'):  # type: ignore
-            print(f"Model's sliding_window: {model.config.sliding_window}")  # type: ignore
+        if hasattr(model.config, 'sliding_window'):
+            print(f"Model's sliding_window: {model.config.sliding_window}")
         else:
             print("Model config does not have sliding_window attribute")
 
@@ -152,7 +152,7 @@ def main():
         device = next(model.parameters()).device
     else:
         # For SentenceTransformer, get device from the underlying model
-        device = next(model[0].auto_model.parameters()).device  # type: ignore
+        device = next(model[0].auto_model.parameters()).device
 
     model_name = os.path.basename(model_path)
 
@@ -177,7 +177,7 @@ def main():
                 print(f"{token_id:6d} -> '{token_str}'")
 
             print(f"Embeddings shape (after all SentenceTransformer layers): {all_embeddings.shape}")
-            print(f"Embedding dimension: {all_embeddings.shape[1] if len(all_embeddings.shape) > 1 else all_embeddings.shape[0]}")  # type: ignore
+            print(f"Embedding dimension: {all_embeddings.shape[1] if len(all_embeddings.shape) > 1 else all_embeddings.shape[0]}")
         else:
             # Standard approach: use base model output only
             encoded = tokenizer(
@@ -205,12 +205,12 @@ def main():
             print(f"Embedding dimension: {all_embeddings.shape[1]}")
 
         if len(all_embeddings.shape) == 1:
-            n_embd = all_embeddings.shape[0]  # type: ignore
+            n_embd = all_embeddings.shape[0]
             n_embd_count = 1
             all_embeddings = all_embeddings.reshape(1, -1)
         else:
-            n_embd = all_embeddings.shape[1]  # type: ignore
-            n_embd_count = all_embeddings.shape[0]  # type: ignore
+            n_embd = all_embeddings.shape[1]
+            n_embd_count = all_embeddings.shape[0]
 
         print()
 
diff --git a/examples/model-conversion/scripts/utils/check-nmse.py b/examples/model-conversion/scripts/utils/check-nmse.py
index 83f63f9ff36fe793171dd30a9fb724afe9a25125..324e3858e368245e39d2a2e5d5d9ebba6719ac57 100644
--- a/examples/model-conversion/scripts/utils/check-nmse.py
+++ b/examples/model-conversion/scripts/utils/check-nmse.py
@@ -5,7 +5,7 @@ import sys
 import os
 import argparse
 from pathlib import Path
-from common import get_model_name_from_env_path  # type: ignore[import-not-found]
+from common import get_model_name_from_env_path  # type: ignore[import-not-found, ty:unresolved-import]
 
 def calculate_nmse(reference, test):
     mse = np.mean((test - reference) ** 2)
diff --git a/examples/model-conversion/scripts/utils/compare_tokens.py b/examples/model-conversion/scripts/utils/compare_tokens.py
index a286cb56832a13f6c4d0c82992c846c468d3a6d8..55e3f26ab4d14639b1264755b7a671bb02ea4713 100644
--- a/examples/model-conversion/scripts/utils/compare_tokens.py
+++ b/examples/model-conversion/scripts/utils/compare_tokens.py
@@ -2,7 +2,7 @@
 
 import argparse
 import sys
-from common import compare_tokens  # type: ignore
+from common import compare_tokens  # type: ignore[import-not-found, ty:unresolved-import]
 
 
 def parse_arguments():
diff --git a/examples/model-conversion/scripts/utils/semantic_check.py b/examples/model-conversion/scripts/utils/semantic_check.py
index 73e20ea48909aba68a6a2d19cca6d32ff5805087..754ae733da2b263531a453db9a5cdb3cda2e14b2 100644
--- a/examples/model-conversion/scripts/utils/semantic_check.py
+++ b/examples/model-conversion/scripts/utils/semantic_check.py
@@ -7,7 +7,7 @@ import importlib
 from pathlib import Path
 
 from transformers import AutoTokenizer, AutoConfig, AutoModelForCausalLM, AutoModel
-from common import compare_tokens, exit_with_warning  # type: ignore[import-not-found]
+from common import compare_tokens, exit_with_warning  # type: ignore[import-not-found, ty:unresolved-import]
 
 unreleased_model_name = os.getenv('UNRELEASED_MODEL_NAME')
 
@@ -207,8 +207,8 @@ def main():
         else:
             model = AutoModel.from_pretrained(args.model_path, trust_remote_code=True)
 
-    encoded = tokenizer(prompt, return_tensors="pt")
-    tokens = tokenizer.convert_ids_to_tokens(encoded['input_ids'][0])
+    encoded = tokenizer(prompt, return_tensors="pt")  # ty: ignore[call-non-callable]
+    tokens = tokenizer.convert_ids_to_tokens(encoded['input_ids'][0])  # ty: ignore[unresolved-attribute]
     n_tokens = len(tokens)
     print(f"n_tokens: {n_tokens}");
     print(f"hidden_size: {model.config.hidden_size}")
diff --git a/examples/parallel/CMakeLists.txt b/examples/parallel/CMakeLists.txt
index 847e916de6ed80e4412c253728be5fb4a46713ec..37245d146c9851c5127063d13f73176334b1c973 100644
--- a/examples/parallel/CMakeLists.txt
+++ b/examples/parallel/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-parallel)
-add_executable(${TARGET} parallel.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:01c811b21b8160ae2d945be64caf50349c057f541692be1f393972cce35d05e2
+size 246
diff --git a/examples/parallel/parallel.cpp b/examples/parallel/parallel.cpp
index 1700ceefbf7905e35b8075529ed60babf2fd9be8..a46400c5b943aee03ce0a12ae9d6d4d2d7f042a2 100644
--- a/examples/parallel/parallel.cpp
+++ b/examples/parallel/parallel.cpp
@@ -163,12 +163,12 @@ int main(int argc, char ** argv) {
     params.n_predict = 128;
     params.n_junk = 1;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_PARALLEL)) {
         return 1;
     }
 
-    common_init();
-
     // number of simultaneous "clients" to simulate
     const int32_t n_clients = params.n_parallel;
 
diff --git a/examples/passkey/CMakeLists.txt b/examples/passkey/CMakeLists.txt
index 9bc5110c2930910f79d50f324d871c5376e75ba8..6d36984bf4484acff97359a3d51adfe6df47994b 100644
--- a/examples/passkey/CMakeLists.txt
+++ b/examples/passkey/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-passkey)
-add_executable(${TARGET} passkey.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:47ccb6e17ff7dcd36358a29f4a93b70c0e1dd8f3f4cf3ad3a87f49e86805e231
+size 244
diff --git a/examples/passkey/passkey.cpp b/examples/passkey/passkey.cpp
index 665191047a415b3b5e04132947778f8acf45c960..8440a2bf773d0f802b09f5d31ad64cb2c8dea625 100644
--- a/examples/passkey/passkey.cpp
+++ b/examples/passkey/passkey.cpp
@@ -25,12 +25,12 @@ int main(int argc, char ** argv) {
     params.n_keep = 32;
     params.i_pos  = -1;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_PASSKEY, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     int n_junk = params.n_junk;
     int n_keep = params.n_keep;
     int n_grp  = params.grp_attn_n;
diff --git a/examples/pydantic_models_to_grammar.py b/examples/pydantic_models_to_grammar.py
index 93e5dcb6c3855a1f0d33e9b333364828a0af8668..0cdd0b57093537898f8ad8e679a7e66ddb3795dc 100644
--- a/examples/pydantic_models_to_grammar.py
+++ b/examples/pydantic_models_to_grammar.py
@@ -6,7 +6,7 @@ import re
 from copy import copy
 from enum import Enum
 from inspect import getdoc, isclass
-from typing import TYPE_CHECKING, Any, Callable, List, Optional, Union, get_args, get_origin, get_type_hints
+from typing import TYPE_CHECKING, Any, Callable, Optional, Union, get_args, get_origin, get_type_hints
 
 from docstring_parser import parse
 from pydantic import BaseModel, create_model
@@ -1158,7 +1158,7 @@ def create_dynamic_model_from_function(func: Callable[..., Any]):
 
         # Assert that the parameter has a type annotation
         if param.annotation == inspect.Parameter.empty:
-            raise TypeError(f"Parameter '{param.name}' in function '{func.__name__}' lacks a type annotation")
+            raise TypeError(f"""Parameter '{param.name}' in function '{getattr(func, "__name__", "")}' lacks a type annotation""")
 
         # Find the parameter's description in the docstring
         param_doc = next((d for d in docstring.params if d.arg_name == param.name), None)
@@ -1166,7 +1166,7 @@ def create_dynamic_model_from_function(func: Callable[..., Any]):
         # Assert that the parameter has a description
         if not param_doc or not param_doc.description:
             raise ValueError(
-                f"Parameter '{param.name}' in function '{func.__name__}' lacks a description in the docstring")
+                f"""Parameter '{param.name}' in function '{getattr(func, "__name__", "")}' lacks a description in the docstring""")
 
         # Add parameter details to the schema
         param_docs.append((param.name, param_doc))
@@ -1177,7 +1177,7 @@ def create_dynamic_model_from_function(func: Callable[..., Any]):
         dynamic_fields[param.name] = (
             param.annotation if param.annotation != inspect.Parameter.empty else str, default_value)
     # Creating the dynamic model
-    dynamic_model = create_model(f"{func.__name__}", **dynamic_fields)
+    dynamic_model = create_model(f"{getattr(func, '__name__')}", **dynamic_fields)
 
     for name, param_doc in param_docs:
         dynamic_model.model_fields[name].description = param_doc.description
@@ -1285,7 +1285,7 @@ def convert_dictionary_to_pydantic_model(dictionary: dict[str, Any], model_name:
                     if items != {}:
                         array = {"properties": items}
                         array_type = convert_dictionary_to_pydantic_model(array, f"{model_name}_{field_name}_items")
-                        fields[field_name] = (List[array_type], ...)
+                        fields[field_name] = (list[array_type], ...)  # ty: ignore[invalid-type-form]
                     else:
                         fields[field_name] = (list, ...)
                 elif field_type == "object":
diff --git a/examples/retrieval/CMakeLists.txt b/examples/retrieval/CMakeLists.txt
index 512a602ec045cabf31b84280902344fbcced9b4b..2407c606bb5b0e5efdb291d7cdc5313e4e7d52ae 100644
--- a/examples/retrieval/CMakeLists.txt
+++ b/examples/retrieval/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-retrieval)
-add_executable(${TARGET} retrieval.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfae8331bfe068c6ef897f8bac946b217a63fcd2c95b12c37f0bd86926eb081a
+size 248
diff --git a/examples/retrieval/retrieval.cpp b/examples/retrieval/retrieval.cpp
index 9e05fc22337dde504f710e6c58480c84d2dd482d..7d93ab1172c69ed948e35473a98c9a60605abc97 100644
--- a/examples/retrieval/retrieval.cpp
+++ b/examples/retrieval/retrieval.cpp
@@ -117,12 +117,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RETRIEVAL, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     // For BERT models, batch size must be equal to ubatch size
     params.n_ubatch = params.n_batch;
     params.embedding = true;
diff --git a/examples/save-load-state/CMakeLists.txt b/examples/save-load-state/CMakeLists.txt
index 0f50e50deecd75ae5bbe686dc535f22d75bbeb31..32f9b8cdfb8c041456c24d9cb46904e041922f71 100644
--- a/examples/save-load-state/CMakeLists.txt
+++ b/examples/save-load-state/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-save-load-state)
-add_executable(${TARGET} save-load-state.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:d9dd3b32accab1498aba0b6bbae5a9b05f283a15baa6dd1dc28a661ed4145794
+size 260
diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp
index 174c8c75854644ac9e41fb10a9d3544a15440012..a26fd73cb3c4981d314aa28524172c09de68e206 100644
--- a/examples/save-load-state/save-load-state.cpp
+++ b/examples/save-load-state/save-load-state.cpp
@@ -17,6 +17,8 @@ int main(int argc, char ** argv) {
 
     const std::string_view state_file = "dump_state.bin";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
@@ -27,8 +29,6 @@ int main(int argc, char ** argv) {
         params.kv_unified = true;
     }
 
-    common_init();
-
     if (params.n_predict < 0) {
         params.n_predict = 16;
     }
diff --git a/examples/speculative-simple/CMakeLists.txt b/examples/speculative-simple/CMakeLists.txt
index aeaea74fcd1f12e81b15e2e4a46422a7fcc7d47c..c44f9f9d0fddfb6a61cfe3c38c9a1e5831dd0ffb 100644
--- a/examples/speculative-simple/CMakeLists.txt
+++ b/examples/speculative-simple/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-speculative-simple)
-add_executable(${TARGET} speculative-simple.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:162a3973b5ac7f59f16f88d8b51e5776c1a7e8ea41cc70122de8606184a3f4c1
+size 266
diff --git a/examples/speculative-simple/speculative-simple.cpp b/examples/speculative-simple/speculative-simple.cpp
index 8a1cbd96c25cac5970b16f7807f94cd3f2661ef7..a03dbce887f2160388f52ef1a531991e401af2dd 100644
--- a/examples/speculative-simple/speculative-simple.cpp
+++ b/examples/speculative-simple/speculative-simple.cpp
@@ -16,6 +16,8 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SPECULATIVE)) {
         return 1;
     }
@@ -25,8 +27,6 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    common_init();
-
     if (params.speculative.mparams_dft.path.empty()) {
         LOG_ERR("%s: --model-draft is required\n", __func__);
         return 1;
diff --git a/examples/speculative/CMakeLists.txt b/examples/speculative/CMakeLists.txt
index c84196bd95b1ef77fb8e5922b602da15167dcb1c..25c81134e396146a6321f94482a582fee55678be 100644
--- a/examples/speculative/CMakeLists.txt
+++ b/examples/speculative/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-speculative)
-add_executable(${TARGET} speculative.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbb988b92227d80b7c95398097d7b71216ceca6f507573ae77430c7ddf57b265
+size 252
diff --git a/examples/speculative/speculative.cpp b/examples/speculative/speculative.cpp
index 250c5b7c62d4416443fb16f20e59862804ed6d99..8f56a659b3e087805892c8f611aa507b2c415ebe 100644
--- a/examples/speculative/speculative.cpp
+++ b/examples/speculative/speculative.cpp
@@ -38,6 +38,8 @@ int main(int argc, char ** argv) {
     // needed to get candidate probs even for temp <= 0.0
     params.sampling.n_probs = 128;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SPECULATIVE)) {
         return 1;
     }
@@ -47,8 +49,6 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    common_init();
-
     if (params.speculative.mparams_dft.path.empty()) {
         LOG_ERR("%s: --model-draft is required\n", __func__);
         return 1;
diff --git a/examples/sycl/CMakeLists.txt b/examples/sycl/CMakeLists.txt
index e4d5083e6e5023072707695c58c0d9a87e94cf9b..0ea59aa700681e2a233360a531459b78aafab550 100644
--- a/examples/sycl/CMakeLists.txt
+++ b/examples/sycl/CMakeLists.txt
@@ -1,9 +1,3 @@
-#  MIT license
-#  Copyright (C) 2024 Intel Corporation
-#  SPDX-License-Identifier: MIT
-
-set(TARGET llama-ls-sycl-device)
-add_executable(${TARGET} ls-sycl-device.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:fba84c0f76d76a0895c3308e0efa3fa4413cddfa66740aa41aff50737ce838b0
+size 350
diff --git a/examples/sycl/build.sh b/examples/sycl/build.sh
index 635e74fe646a443df99088504157756bcff446e5..bf7d6b53bf2327aff68cd94e0379882f5ee6b9db 100644
--- a/examples/sycl/build.sh
+++ b/examples/sycl/build.sh
@@ -20,4 +20,4 @@ cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA
 #cmake --build . --config Release --target llama-bench
 
 #build all binary
-cmake --build . --config Release -j -v
+cmake --build . --config Release -j$((($(nproc)+1)/2)) -v
diff --git a/examples/sycl/run-llama2.sh b/examples/sycl/run-llama2.sh
index d33f82f339b20081116fabd8ca578977d2d0a014..6ed2535bbb83e956ef4741c00688ad1fe07169e2 100644
--- a/examples/sycl/run-llama2.sh
+++ b/examples/sycl/run-llama2.sh
@@ -23,9 +23,9 @@ if [ $# -gt 0 ]; then
     GGML_SYCL_DEVICE=$1
     echo "use $GGML_SYCL_DEVICE as main GPU"
     #use signle GPU only
-    ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONTEXT} -mg $GGML_SYCL_DEVICE -sm none ${LOAD_MODE}
+    ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 200 -e -ngl ${NGL} -s 0 -c ${CONTEXT} -mg $GGML_SYCL_DEVICE -sm none ${LOAD_MODE}
 
 else
     #use multiple GPUs with same max compute units
-    ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONTEXT} ${LOAD_MODE}
+    ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 200 -e -ngl ${NGL} -s 0 -c ${CONTEXT} ${LOAD_MODE}
 fi
diff --git a/examples/training/CMakeLists.txt b/examples/training/CMakeLists.txt
index 64afe6ddc647ae6557e3ff8401bcc34c8a1ca9e5..ee08f23cac0564e065cc6e15e58e2a82940b1f46 100644
--- a/examples/training/CMakeLists.txt
+++ b/examples/training/CMakeLists.txt
@@ -1,5 +1,3 @@
-set(TARGET llama-finetune)
-add_executable(${TARGET} finetune.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
+version https://git-lfs.github.com/spec/v1
+oid sha256:099b4202e1ab49cba7c6b3e4a0b7c6f077d967ecacf45dc26f4e1df0d095844d
+size 246
diff --git a/examples/training/finetune.cpp b/examples/training/finetune.cpp
index e20f89488f2a500a70e5942cd205f87428b02be3..0a75ac110ca4dcf4fa724c984a3b58bcee37b505 100644
--- a/examples/training/finetune.cpp
+++ b/examples/training/finetune.cpp
@@ -20,6 +20,8 @@ int main(int argc, char ** argv) {
     common_params params;
     params.escape = false;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_FINETUNE)) {
         return 1;
     }
@@ -38,7 +40,6 @@ int main(int argc, char ** argv) {
         params.cache_type_v = GGML_TYPE_F32;
     }
 
-    common_init();
     llama_backend_init();
     llama_numa_init(params.numa);
     // load the model and apply lora adapter, if any
diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt
index c780077acaa437bbe9b634d59f325ebb0139c58c..10d339fc3c4308a880b359d248073012fc57b97c 100644
--- a/ggml/CMakeLists.txt
+++ b/ggml/CMakeLists.txt
@@ -1,497 +1,3 @@
-cmake_minimum_required(VERSION 3.14...3.28) # for add_link_options and implicit target directories.
-project("ggml" C CXX ASM)
-
-### GGML Version
-set(GGML_VERSION_MAJOR 0)
-set(GGML_VERSION_MINOR 9)
-set(GGML_VERSION_PATCH 8)
-set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")
-
-find_program(GIT_EXE NAMES git git.exe NO_CMAKE_FIND_ROOT_PATH)
-if(GIT_EXE)
-    # Get current git commit hash
-    execute_process(COMMAND ${GIT_EXE} rev-parse --short HEAD
-        WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
-        OUTPUT_VARIABLE GGML_BUILD_COMMIT
-        OUTPUT_STRIP_TRAILING_WHITESPACE
-        ERROR_QUIET
-    )
-
-    # Check if the working directory is dirty (i.e., has uncommitted changes)
-    execute_process(COMMAND ${GIT_EXE} diff-index --quiet HEAD -- .
-        WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
-        RESULT_VARIABLE GGML_GIT_DIRTY
-        ERROR_QUIET
-    )
-endif()
-
-set(GGML_VERSION "${GGML_VERSION_BASE}")
-
-if(NOT GGML_BUILD_COMMIT)
-    set(GGML_BUILD_COMMIT "unknown")
-endif()
-
-# Build the commit string with optional dirty flag
-if(DEFINED GGML_GIT_DIRTY AND GGML_GIT_DIRTY EQUAL 1)
-    set(GGML_BUILD_COMMIT "${GGML_BUILD_COMMIT}-dirty")
-endif()
-
-include(CheckIncludeFileCXX)
-
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-
-if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE)
-    set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
-    set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo")
-endif()
-
-if (CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
-    set(GGML_STANDALONE ON)
-
-    set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
-
-    # configure project version
-    # TODO
-else()
-    set(GGML_STANDALONE OFF)
-
-    if (NOT CMAKE_RUNTIME_OUTPUT_DIRECTORY)
-        set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
-    endif()
-endif()
-
-if (EMSCRIPTEN)
-    set(BUILD_SHARED_LIBS_DEFAULT OFF)
-
-    option(GGML_WASM_SINGLE_FILE "ggml: embed WASM inside the generated ggml.js" ON)
-else()
-    if (MINGW)
-        set(BUILD_SHARED_LIBS_DEFAULT OFF)
-    else()
-        set(BUILD_SHARED_LIBS_DEFAULT ON)
-    endif()
-endif()
-
-# remove the lib prefix on win32 mingw
-if (WIN32)
-    set(CMAKE_STATIC_LIBRARY_PREFIX "")
-    set(CMAKE_SHARED_LIBRARY_PREFIX "")
-    set(CMAKE_SHARED_MODULE_PREFIX  "")
-endif()
-
-option(BUILD_SHARED_LIBS           "ggml: build shared libraries" ${BUILD_SHARED_LIBS_DEFAULT})
-option(GGML_BACKEND_DL             "ggml: build backends as dynamic libraries (requires BUILD_SHARED_LIBS)" OFF)
-set(GGML_BACKEND_DIR "" CACHE PATH "ggml: directory to load dynamic backends from (requires GGML_BACKEND_DL")
-
-#
-# option list
-#
-
-# TODO: mark all options as advanced when not GGML_STANDALONE
-
-if (APPLE)
-    set(GGML_METAL_DEFAULT ON)
-    set(GGML_BLAS_DEFAULT ON)
-    set(GGML_BLAS_VENDOR_DEFAULT "Apple")
-else()
-    set(GGML_METAL_DEFAULT OFF)
-    set(GGML_BLAS_DEFAULT OFF)
-    set(GGML_BLAS_VENDOR_DEFAULT "Generic")
-endif()
-
-if (CMAKE_CROSSCOMPILING OR DEFINED ENV{SOURCE_DATE_EPOCH})
-    message(STATUS "Setting GGML_NATIVE_DEFAULT to OFF")
-    set(GGML_NATIVE_DEFAULT OFF)
-else()
-    set(GGML_NATIVE_DEFAULT ON)
-endif()
-
-# defaults
-if (NOT GGML_LLAMAFILE_DEFAULT)
-    set(GGML_LLAMAFILE_DEFAULT OFF)
-endif()
-
-if (NOT GGML_CUDA_GRAPHS_DEFAULT)
-    set(GGML_CUDA_GRAPHS_DEFAULT OFF)
-endif()
-
-# general
-option(GGML_STATIC "ggml: static link libraries"                     OFF)
-option(GGML_NATIVE "ggml: optimize the build for the current system" ${GGML_NATIVE_DEFAULT})
-option(GGML_LTO    "ggml: enable link time optimization"             OFF)
-option(GGML_CCACHE "ggml: use ccache if available"                   ON)
-
-# debug
-option(GGML_ALL_WARNINGS           "ggml: enable all compiler warnings"                   ON)
-option(GGML_ALL_WARNINGS_3RD_PARTY "ggml: enable all compiler warnings in 3rd party libs" OFF)
-option(GGML_GPROF                  "ggml: enable gprof"                                   OFF)
-
-# build
-option(GGML_FATAL_WARNINGS    "ggml: enable -Werror flag"    OFF)
-
-# sanitizers
-option(GGML_SANITIZE_THREAD    "ggml: enable thread sanitizer"    OFF)
-option(GGML_SANITIZE_ADDRESS   "ggml: enable address sanitizer"   OFF)
-option(GGML_SANITIZE_UNDEFINED "ggml: enable undefined sanitizer" OFF)
-
-# instruction set specific
-if (GGML_NATIVE OR NOT GGML_NATIVE_DEFAULT)
-    set(INS_ENB OFF)
-else()
-    set(INS_ENB ON)
-endif()
-
-message(DEBUG "GGML_NATIVE         : ${GGML_NATIVE}")
-message(DEBUG "GGML_NATIVE_DEFAULT : ${GGML_NATIVE_DEFAULT}")
-message(DEBUG "INS_ENB             : ${INS_ENB}")
-
-option(GGML_CPU_HBM          "ggml: use memkind for CPU HBM" OFF)
-option(GGML_CPU_REPACK       "ggml: use runtime weight conversion of Q4_0 to Q4_X_X" ON)
-option(GGML_CPU_KLEIDIAI     "ggml: use KleidiAI optimized kernels if applicable" OFF)
-option(GGML_SSE42            "ggml: enable SSE 4.2"          ${INS_ENB})
-option(GGML_AVX              "ggml: enable AVX"              ${INS_ENB})
-option(GGML_AVX_VNNI         "ggml: enable AVX-VNNI"         OFF)
-option(GGML_AVX2             "ggml: enable AVX2"             ${INS_ENB})
-option(GGML_BMI2             "ggml: enable BMI2"             ${INS_ENB})
-option(GGML_AVX512           "ggml: enable AVX512F"          OFF)
-option(GGML_AVX512_VBMI      "ggml: enable AVX512-VBMI"      OFF)
-option(GGML_AVX512_VNNI      "ggml: enable AVX512-VNNI"      OFF)
-option(GGML_AVX512_BF16      "ggml: enable AVX512-BF16"      OFF)
-if (NOT MSVC)
-    # in MSVC F16C and FMA is implied with AVX2/AVX512
-    option(GGML_FMA          "ggml: enable FMA"              ${INS_ENB})
-    option(GGML_F16C         "ggml: enable F16C"             ${INS_ENB})
-    # MSVC does not seem to support AMX
-    option(GGML_AMX_TILE     "ggml: enable AMX-TILE"         OFF)
-    option(GGML_AMX_INT8     "ggml: enable AMX-INT8"         OFF)
-    option(GGML_AMX_BF16     "ggml: enable AMX-BF16"         OFF)
-endif()
-option(GGML_LASX             "ggml: enable lasx"             ON)
-option(GGML_LSX              "ggml: enable lsx"              ON)
-option(GGML_RVV              "ggml: enable rvv"              ON)
-option(GGML_RV_ZFH           "ggml: enable riscv zfh"        ON)
-option(GGML_RV_ZVFH          "ggml: enable riscv zvfh"       ON)
-option(GGML_RV_ZICBOP        "ggml: enable riscv zicbop"     ON)
-option(GGML_RV_ZIHINTPAUSE   "ggml: enable riscv zihintpause "  ON)
-option(GGML_XTHEADVECTOR     "ggml: enable xtheadvector"     OFF)
-option(GGML_VXE              "ggml: enable vxe"              ${GGML_NATIVE})
-
-option(GGML_CPU_ALL_VARIANTS "ggml: build all variants of the CPU backend (requires GGML_BACKEND_DL)" OFF)
-set(GGML_CPU_ARM_ARCH        "" CACHE STRING "ggml: CPU architecture for ARM")
-set(GGML_CPU_POWERPC_CPUTYPE "" CACHE STRING "ggml: CPU type for PowerPC")
-
-# ggml core
-set(GGML_SCHED_MAX_COPIES  "4" CACHE STRING "ggml: max input copies for pipeline parallelism")
-option(GGML_CPU                             "ggml: enable CPU backend"                        ON)
-option(GGML_SCHED_NO_REALLOC                "ggml: disallow reallocations in ggml-alloc (for debugging)" OFF)
-
-# 3rd party libs / backends
-option(GGML_ACCELERATE                      "ggml: enable Accelerate framework"               ON)
-option(GGML_BLAS                            "ggml: use BLAS"                                  ${GGML_BLAS_DEFAULT})
-set(GGML_BLAS_VENDOR ${GGML_BLAS_VENDOR_DEFAULT} CACHE STRING
-                                            "ggml: BLAS library vendor")
-option(GGML_LLAMAFILE                       "ggml: use LLAMAFILE"                             ${GGML_LLAMAFILE_DEFAULT})
-
-option(GGML_CUDA                            "ggml: use CUDA"                                  OFF)
-option(GGML_MUSA                            "ggml: use MUSA"                                  OFF)
-option(GGML_CUDA_FORCE_MMQ                  "ggml: use mmq kernels instead of cuBLAS"         OFF)
-option(GGML_CUDA_FORCE_CUBLAS               "ggml: always use cuBLAS instead of mmq kernels"  OFF)
-set   (GGML_CUDA_PEER_MAX_BATCH_SIZE "128" CACHE STRING
-                                            "ggml: max. batch size for using peer access")
-option(GGML_CUDA_NO_PEER_COPY               "ggml: do not use peer to peer copies"            OFF)
-option(GGML_CUDA_NO_VMM                     "ggml: do not try to use CUDA VMM"                OFF)
-option(GGML_CUDA_FA                         "ggml: compile ggml FlashAttention CUDA kernels"  ON)
-option(GGML_CUDA_FA_ALL_QUANTS              "ggml: compile all quants for FlashAttention"     OFF)
-option(GGML_CUDA_GRAPHS                     "ggml: use CUDA graphs (llama.cpp only)"          ${GGML_CUDA_GRAPHS_DEFAULT})
-set   (GGML_CUDA_COMPRESSION_MODE "size" CACHE STRING
-                                            "ggml: cuda link binary compression mode; requires cuda 12.8+")
-set_property(CACHE GGML_CUDA_COMPRESSION_MODE PROPERTY STRINGS "none;speed;balance;size")
-
-option(GGML_HIP                             "ggml: use HIP"                                   OFF)
-option(GGML_HIP_GRAPHS                      "ggml: use HIP graph, experimental, slow"         OFF)
-option(GGML_HIP_NO_VMM                      "ggml: do not try to use HIP VMM"                 ON)
-option(GGML_HIP_ROCWMMA_FATTN               "ggml: enable rocWMMA for FlashAttention"         OFF)
-option(GGML_HIP_MMQ_MFMA                    "ggml: enable MFMA MMA for CDNA in MMQ"           ON)
-option(GGML_HIP_EXPORT_METRICS              "ggml: enable kernel perf metrics output"         OFF)
-option(GGML_MUSA_GRAPHS                     "ggml: use MUSA graph, experimental, unstable"    OFF)
-option(GGML_MUSA_MUDNN_COPY                 "ggml: enable muDNN for accelerated copy"         OFF)
-option(GGML_VULKAN                          "ggml: use Vulkan"                                OFF)
-option(GGML_VULKAN_CHECK_RESULTS            "ggml: run Vulkan op checks"                      OFF)
-option(GGML_VULKAN_DEBUG                    "ggml: enable Vulkan debug output"                OFF)
-option(GGML_VULKAN_MEMORY_DEBUG             "ggml: enable Vulkan memory debug output"         OFF)
-option(GGML_VULKAN_SHADER_DEBUG_INFO        "ggml: enable Vulkan shader debug info"           OFF)
-option(GGML_VULKAN_VALIDATE                 "ggml: enable Vulkan validation"                  OFF)
-option(GGML_VULKAN_RUN_TESTS                "ggml: run Vulkan tests"                          OFF)
-option(GGML_WEBGPU                          "ggml: use WebGPU"                                OFF)
-option(GGML_WEBGPU_DEBUG                    "ggml: enable WebGPU debug output"                OFF)
-option(GGML_WEBGPU_CPU_PROFILE              "ggml: enable WebGPU profiling (CPU)"             OFF)
-option(GGML_WEBGPU_GPU_PROFILE              "ggml: enable WebGPU profiling (GPU)"             OFF)
-option(GGML_WEBGPU_JSPI                     "ggml: use JSPI for WebGPU"                       ON)
-option(GGML_ZDNN                            "ggml: use zDNN"                                  OFF)
-option(GGML_VIRTGPU                         "ggml: use the VirtGPU/Virglrenderer API Remoting frontend"     OFF)
-option(GGML_VIRTGPU_BACKEND                 "ggml: build the VirtGPU/Virglrenderer API Remoting backend"    OFF)
-option(GGML_METAL                           "ggml: use Metal"                                 ${GGML_METAL_DEFAULT})
-option(GGML_METAL_NDEBUG                    "ggml: disable Metal debugging"                   OFF)
-option(GGML_METAL_SHADER_DEBUG              "ggml: compile Metal with -fno-fast-math"         OFF)
-option(GGML_METAL_EMBED_LIBRARY             "ggml: embed Metal library"                       ${GGML_METAL})
-set   (GGML_METAL_MACOSX_VERSION_MIN "" CACHE STRING
-                                            "ggml: metal minimum macOS version")
-set   (GGML_METAL_STD "" CACHE STRING       "ggml: metal standard version (-std flag)")
-option(GGML_OPENMP                          "ggml: use OpenMP"                                ON)
-option(GGML_RPC                             "ggml: use RPC"                                   OFF)
-option(GGML_SYCL                            "ggml: use SYCL"                                  OFF)
-option(GGML_SYCL_F16                        "ggml: use 16 bit floats for sycl calculations"   OFF)
-option(GGML_SYCL_GRAPH                      "ggml: enable graphs in the SYCL backend"         ON)
-option(GGML_SYCL_DNN                        "ggml: enable oneDNN in the SYCL backend"         ON)
-set   (GGML_SYCL_TARGET "INTEL" CACHE STRING
-                                            "ggml: sycl target device")
-set   (GGML_SYCL_DEVICE_ARCH "" CACHE STRING
-                                            "ggml: sycl device architecture")
-
-option(GGML_OPENVINO                        "ggml: use OPENVINO"                              OFF)
-
-option(GGML_OPENCL                          "ggml: use OpenCL"                                OFF)
-option(GGML_OPENCL_PROFILING                "ggml: use OpenCL profiling (increases overhead)" OFF)
-option(GGML_OPENCL_EMBED_KERNELS            "ggml: embed kernels"                             ON)
-option(GGML_OPENCL_USE_ADRENO_KERNELS       "ggml: use optimized kernels for Adreno"          ON)
-set   (GGML_OPENCL_TARGET_VERSION "300" CACHE STRING
-                                            "ggml: OpenCL API version to target")
-
-option(GGML_HEXAGON                         "ggml: enable Hexagon backend"                    OFF)
-set(GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE 128 CACHE STRING "ggml: quantize group size (32, 64, or 128)")
-
-# toolchain for vulkan-shaders-gen
-set   (GGML_VULKAN_SHADERS_GEN_TOOLCHAIN "" CACHE FILEPATH "ggml: toolchain file for vulkan-shaders-gen")
-
-option(GGML_ZENDNN                          "ggml: use ZenDNN"                                OFF)
-option(ZENDNN_ROOT                          "ggml: path to ZenDNN installation"               "")
-
-# extra artifacts
-option(GGML_BUILD_TESTS    "ggml: build tests"    ${GGML_STANDALONE})
-option(GGML_BUILD_EXAMPLES "ggml: build examples" ${GGML_STANDALONE})
-
-#
-# dependencies
-#
-
-set(CMAKE_C_STANDARD 11)
-set(CMAKE_C_STANDARD_REQUIRED true)
-
-set(CMAKE_CXX_STANDARD 17)
-set(CMAKE_CXX_STANDARD_REQUIRED true)
-
-set(THREADS_PREFER_PTHREAD_FLAG ON)
-
-find_package(Threads REQUIRED)
-
-include(GNUInstallDirs)
-
-#
-# build the library
-#
-
-add_subdirectory(src)
-
-#
-# tests and examples
-#
-
-if (GGML_BUILD_TESTS)
-    enable_testing()
-    add_subdirectory(tests)
-endif ()
-
-if (GGML_BUILD_EXAMPLES)
-    add_subdirectory(examples)
-endif ()
-
-#
-# install
-#
-
-include(CMakePackageConfigHelpers)
-
-# all public headers
-set(GGML_PUBLIC_HEADERS
-    include/ggml.h
-    include/ggml-cpu.h
-    include/ggml-alloc.h
-    include/ggml-backend.h
-    include/ggml-blas.h
-    include/ggml-cann.h
-    include/ggml-cpp.h
-    include/ggml-cuda.h
-    include/ggml-opt.h
-    include/ggml-metal.h
-    include/ggml-rpc.h
-    include/ggml-virtgpu.h
-    include/ggml-sycl.h
-    include/ggml-vulkan.h
-    include/ggml-webgpu.h
-    include/ggml-zendnn.h
-    include/ggml-openvino.h
-    include/gguf.h)
-
-set_target_properties(ggml PROPERTIES PUBLIC_HEADER "${GGML_PUBLIC_HEADERS}")
-#if (GGML_METAL)
-#    set_target_properties(ggml PROPERTIES RESOURCE "${CMAKE_CURRENT_SOURCE_DIR}/src/ggml-metal.metal")
-#endif()
-install(TARGETS ggml LIBRARY PUBLIC_HEADER)
-install(TARGETS ggml-base LIBRARY)
-
-if (GGML_STANDALONE)
-    configure_file(${CMAKE_CURRENT_SOURCE_DIR}/ggml.pc.in
-        ${CMAKE_CURRENT_BINARY_DIR}/ggml.pc
-        @ONLY)
-
-    install(FILES ${CMAKE_CURRENT_BINARY_DIR}/ggml.pc
-        DESTINATION share/pkgconfig)
-endif()
-
-#
-# Create CMake package
-#
-
-
-
-# Capture variables prefixed with GGML_.
-
-set(variable_set_statements
-"
-####### Expanded from @GGML_VARIABLES_EXPANED@ by configure_package_config_file() #######
-####### Any changes to this file will be overwritten by the next CMake run        #######
-
-")
-
-set(GGML_SHARED_LIB ${BUILD_SHARED_LIBS})
-
-get_cmake_property(all_variables VARIABLES)
-foreach(variable_name IN LISTS all_variables)
-    if(variable_name MATCHES "^GGML_")
-        string(REPLACE ";" "\\;"
-               variable_value "${${variable_name}}")
-
-        set(variable_set_statements
-            "${variable_set_statements}set(${variable_name} \"${variable_value}\")\n")
-    endif()
-endforeach()
-
-set(GGML_VARIABLES_EXPANDED ${variable_set_statements})
-
-# Create the CMake package and set install location.
-
-set(GGML_INSTALL_VERSION ${GGML_VERSION})
-set(GGML_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header  files")
-set(GGML_LIB_INSTALL_DIR     ${CMAKE_INSTALL_LIBDIR}     CACHE PATH "Location of library files")
-set(GGML_BIN_INSTALL_DIR     ${CMAKE_INSTALL_BINDIR}     CACHE PATH "Location of binary  files")
-
-configure_package_config_file(
-        ${CMAKE_CURRENT_SOURCE_DIR}/cmake/ggml-config.cmake.in
-        ${CMAKE_CURRENT_BINARY_DIR}/ggml-config.cmake
-    INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/ggml
-    PATH_VARS GGML_INCLUDE_INSTALL_DIR
-              GGML_LIB_INSTALL_DIR
-              GGML_BIN_INSTALL_DIR)
-
-write_basic_package_version_file(
-        ${CMAKE_CURRENT_BINARY_DIR}/ggml-version.cmake
-    VERSION ${GGML_INSTALL_VERSION}
-    COMPATIBILITY SameMajorVersion)
-
-target_compile_definitions(ggml-base PRIVATE
-    GGML_VERSION="${GGML_INSTALL_VERSION}"
-    GGML_COMMIT="${GGML_BUILD_COMMIT}"
-)
-message(STATUS "ggml version: ${GGML_INSTALL_VERSION}")
-message(STATUS "ggml commit:  ${GGML_BUILD_COMMIT}")
-
-install(FILES ${CMAKE_CURRENT_BINARY_DIR}/ggml-config.cmake
-              ${CMAKE_CURRENT_BINARY_DIR}/ggml-version.cmake
-        DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/ggml)
-
-if (MSVC)
-    set(MSVC_WARNING_FLAGS
-        /wd4005  # Macro redefinition
-        /wd4244  # Conversion from one type to another type, possible loss of data
-        /wd4267  # Conversion from 'size_t' to a smaller type, possible loss of data
-        /wd4305  # Conversion from 'type1' to 'type2', possible loss of data
-        /wd4566  # Conversion from 'char' to 'wchar_t', possible loss of data
-        /wd4996  # Disable POSIX deprecation warnings
-        /wd4702  # Unreachable code warnings
-    )
-    set(MSVC_COMPILE_OPTIONS
-        "$<$<COMPILE_LANGUAGE:C>:/utf-8>"
-        "$<$<COMPILE_LANGUAGE:CXX>:/utf-8>"
-    )
-    function(configure_msvc_target target_name)
-        if(TARGET ${target_name})
-            target_compile_options(${target_name} PRIVATE ${MSVC_WARNING_FLAGS})
-            target_compile_options(${target_name} PRIVATE ${MSVC_COMPILE_OPTIONS})
-        endif()
-    endfunction()
-
-    configure_msvc_target(ggml-base)
-    configure_msvc_target(ggml)
-    configure_msvc_target(ggml-cpu)
-    configure_msvc_target(ggml-cpu-x64)
-    configure_msvc_target(ggml-cpu-sse42)
-    configure_msvc_target(ggml-cpu-sandybridge)
-    # __FMA__ and __F16C__ are not defined in MSVC, however they are implied with AVX2/AVX512
-    # skipping            ggml-cpu-ivybridge
-    # skipping            ggml-cpu-piledriver
-    configure_msvc_target(ggml-cpu-haswell)
-    configure_msvc_target(ggml-cpu-skylakex)
-    configure_msvc_target(ggml-cpu-cannonlake)
-    configure_msvc_target(ggml-cpu-cascadelake)
-    configure_msvc_target(ggml-cpu-icelake)
-    # MSVC 2022 doesn't support BF16 intrinsics without `/arch:AVX10.1` ?!
-    # https://learn.microsoft.com/en-us/cpp/intrinsics/x64-amd64-intrinsics-list?view=msvc-170
-    # https://learn.microsoft.com/en-us/cpp/build/reference/arch-x64?view=msvc-170
-    # skipping            ggml-cpu-cooperlake
-    # skipping            ggml-cpu-zen4
-    configure_msvc_target(ggml-cpu-alderlake)
-    # MSVC doesn't support AMX
-    # skipping            ggml-cpu-sapphirerapids
-
-    if (GGML_BUILD_EXAMPLES)
-        configure_msvc_target(common-ggml)
-        configure_msvc_target(common)
-
-        configure_msvc_target(mnist-common)
-        configure_msvc_target(mnist-eval)
-        configure_msvc_target(mnist-train)
-
-        configure_msvc_target(gpt-2-ctx)
-        configure_msvc_target(gpt-2-alloc)
-        configure_msvc_target(gpt-2-backend)
-        configure_msvc_target(gpt-2-sched)
-        configure_msvc_target(gpt-2-quantize)
-        configure_msvc_target(gpt-2-batched)
-
-        configure_msvc_target(gpt-j)
-        configure_msvc_target(gpt-j-quantize)
-
-        configure_msvc_target(magika)
-        configure_msvc_target(yolov3-tiny)
-        configure_msvc_target(sam)
-
-        configure_msvc_target(simple-ctx)
-        configure_msvc_target(simple-backend)
-    endif()
-
-    if (GGML_BUILD_TESTS)
-        configure_msvc_target(test-mul-mat)
-        configure_msvc_target(test-arange)
-        configure_msvc_target(test-backend-ops)
-        configure_msvc_target(test-cont)
-        configure_msvc_target(test-conv-transpose)
-        configure_msvc_target(test-conv-transpose-1d)
-        configure_msvc_target(test-conv1d)
-        configure_msvc_target(test-conv2d)
-        configure_msvc_target(test-conv2d-dw)
-        configure_msvc_target(test-customop)
-        configure_msvc_target(test-dup)
-        configure_msvc_target(test-opt)
-        configure_msvc_target(test-pool)
-    endif ()
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:033bf79bcbdbae77b7a3a6a23bdac3a8d004fb12c8e252838498d6eacc1d89b5
+size 21967
diff --git a/ggml/cmake/FindNCCL.cmake b/ggml/cmake/FindNCCL.cmake
new file mode 100644
index 0000000000000000000000000000000000000000..67511e2d56a6cf2e3bbcd000e6c7ad5d0535a2bd
--- /dev/null
+++ b/ggml/cmake/FindNCCL.cmake
@@ -0,0 +1,36 @@
+# cmake/FindNCCL.cmake
+
+# NVIDIA does not distribute CMake files with NCCl, therefore use this file to find it instead.
+
+find_path(NCCL_INCLUDE_DIR
+    NAMES nccl.h
+    HINTS ${NCCL_ROOT} $ENV{NCCL_ROOT} $ENV{CUDA_HOME} /usr/local/cuda
+    PATH_SUFFIXES include
+)
+
+find_library(NCCL_LIBRARY
+    NAMES nccl
+    HINTS ${NCCL_ROOT} $ENV{NCCL_ROOT} $ENV{CUDA_HOME} /usr/local/cuda
+    PATH_SUFFIXES lib lib64
+)
+
+include(FindPackageHandleStandardArgs)
+find_package_handle_standard_args(NCCL
+    DEFAULT_MSG
+    NCCL_LIBRARY NCCL_INCLUDE_DIR
+)
+
+if(NCCL_FOUND)
+    set(NCCL_LIBRARIES ${NCCL_LIBRARY})
+    set(NCCL_INCLUDE_DIRS ${NCCL_INCLUDE_DIR})
+
+    if(NOT TARGET NCCL::NCCL)
+        add_library(NCCL::NCCL UNKNOWN IMPORTED)
+        set_target_properties(NCCL::NCCL PROPERTIES
+            IMPORTED_LOCATION "${NCCL_LIBRARY}"
+            INTERFACE_INCLUDE_DIRECTORIES "${NCCL_INCLUDE_DIR}"
+        )
+    endif()
+endif()
+
+mark_as_advanced(NCCL_INCLUDE_DIR NCCL_LIBRARY)
diff --git a/ggml/include/ggml-backend.h b/ggml/include/ggml-backend.h
index 9fd3f7f32a027353cbdccbc08d5cc5db04927347..d0c7e5a1be08f88ba4c635837fc20158835637fc 100644
--- a/ggml/include/ggml-backend.h
+++ b/ggml/include/ggml-backend.h
@@ -68,7 +68,7 @@ extern "C" {
     GGML_API void                           ggml_backend_buffer_reset         (ggml_backend_buffer_t buffer);
 
     // tensor copy between different backends
-    GGML_API void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst);
+    GGML_API void ggml_backend_tensor_copy(const struct ggml_tensor * src, struct ggml_tensor * dst);
 
     //
     // Backend (stream)
@@ -83,13 +83,17 @@ extern "C" {
     GGML_API size_t                     ggml_backend_get_alignment(ggml_backend_t backend);
     GGML_API size_t                     ggml_backend_get_max_size(ggml_backend_t backend);
 
-    GGML_API void ggml_backend_tensor_set_async(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
-    GGML_API void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set_async   (ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_get_async   (ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set_2d_async(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+    GGML_API void ggml_backend_tensor_get_2d_async(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
 
     // "offset" refers to the offset in tensor->data for setting/getting data
-    GGML_API void ggml_backend_tensor_set(      struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
-    GGML_API void ggml_backend_tensor_get(const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
-    GGML_API void ggml_backend_tensor_memset(   struct ggml_tensor * tensor,     uint8_t value, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set   (      struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_get   (const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set_2d(      struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+    GGML_API void ggml_backend_tensor_get_2d(const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+    GGML_API void ggml_backend_tensor_memset(      struct ggml_tensor * tensor,     uint8_t value, size_t offset, size_t size);
 
     GGML_API void ggml_backend_synchronize(ggml_backend_t backend);
 
@@ -109,7 +113,7 @@ extern "C" {
     // the copy is performed after all the currently queued operations in backend_src
     // backend_dst will wait for the copy to complete before performing other operations
     // automatic fallback to sync copy if async is not supported
-    GGML_API void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, struct ggml_tensor * src, struct ggml_tensor * dst);
+    GGML_API void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst);
 
     GGML_API ggml_backend_dev_t ggml_backend_get_device(ggml_backend_t backend);
 
@@ -135,7 +139,9 @@ extern "C" {
         // integrated GPU device using host memory
         GGML_BACKEND_DEVICE_TYPE_IGPU,
         // accelerator devices intended to be used together with the CPU backend (e.g. BLAS or AMX)
-        GGML_BACKEND_DEVICE_TYPE_ACCEL
+        GGML_BACKEND_DEVICE_TYPE_ACCEL,
+        // "meta" device wrapping multiple other devices for tensor parallelism
+        GGML_BACKEND_DEVICE_TYPE_META,
     };
 
     // functionality supported by the device
@@ -196,7 +202,12 @@ extern "C" {
 
     // Common functions that may be obtained using ggml_backend_reg_get_proc_address
 
-    // Split buffer type for tensor parallelism
+    // Context management and operations for faster communication between backends, used for tensor parallelism (meta backend)
+    typedef void * (*ggml_backend_comm_init_t)(ggml_backend_t * backends, size_t n_backends);
+    typedef void   (*ggml_backend_comm_free_t)(void * comm_ctx);
+    typedef bool   (*ggml_backend_comm_allreduce_tensor_t)(void * comm_ctx, struct ggml_tensor ** tensors);
+
+    // Split buffer type for tensor parallelism (old)
     typedef ggml_backend_buffer_type_t   (*ggml_backend_split_buffer_type_t)(int main_device, const float * tensor_split);
     // Set the number of threads for the backend
     typedef void                         (*ggml_backend_set_n_threads_t)(ggml_backend_t backend, int n_threads);
@@ -340,6 +351,53 @@ extern "C" {
     // Set a callback to be called for each resulting node during graph compute
     GGML_API void                 ggml_backend_sched_set_eval_callback(ggml_backend_sched_t sched, ggml_backend_sched_eval_callback callback, void * user_data);
 
+    //
+    // Meta backend
+    //
+
+#define GGML_BACKEND_META_MAX_DEVICES 16
+
+    enum ggml_backend_meta_split_axis {
+        // tensor split by tensor dimensions:
+        GGML_BACKEND_SPLIT_AXIS_0 = 0,
+        GGML_BACKEND_SPLIT_AXIS_1 = 1,
+        GGML_BACKEND_SPLIT_AXIS_2 = 2,
+        GGML_BACKEND_SPLIT_AXIS_3 = 3,
+
+        GGML_BACKEND_SPLIT_AXIS_MIRRORED = 10, // all values on all backends
+        GGML_BACKEND_SPLIT_AXIS_PARTIAL  = 11, // each backend has a partial sum
+
+        // for internal bookkeeping only:
+        GGML_BACKEND_SPLIT_AXIS_NONE    = 98,
+        GGML_BACKEND_SPLIT_AXIS_UNKNOWN = 99,
+    };
+    GGML_API const char * ggml_backend_meta_split_axis_name(enum ggml_backend_meta_split_axis split_axis);
+
+    struct ggml_backend_meta_split_state {
+        enum ggml_backend_meta_split_axis axis;
+
+        // for tensors with axis >= 0 && axis < GGML_MAX_DIMS:
+        //   - each device has a slice of the tensor along the split axis
+        //   - most tensors have n_segments == 1 and a contiguous slice of the tensor data
+        //   - some tensors have an inhomogenenous data layout along the split axis,
+        //     those tensors are divided into segments which are each individually split across devices
+        //   - ne has one entry per segment and device that add up to ggml_tensor::ne for that axis,
+        //     the outer/inner loops are over segments/devices like [seg0_dev0, seg0_dev1, seg1_dev0, seg1_dev1],
+        //   - for example, a transformer may have a fused QKV matrix rather than 3 matrices, those would be 3 separate segments
+        //     that each need to be split individually across devices so that each device gets a slice of Q, K, and V
+        int64_t  ne[16*GGML_BACKEND_META_MAX_DEVICES];
+        uint32_t n_segments;
+    };
+
+    // function to assign split states for statically allocated tensors, compute tensor split states will be assigned to be compatible:
+    typedef struct ggml_backend_meta_split_state(*ggml_backend_meta_get_split_state_t)(const struct ggml_tensor * tensor, void * userdata);
+
+    // create a new meta device from "simple" devices, meta buffer type/buffer/backend is then derived from this:
+    // TODO: this looks a bit strange - a backend API creates a device. I think we should try
+    //       express this as a backend registry functionality instead
+    GGML_API ggml_backend_dev_t ggml_backend_meta_device(
+        ggml_backend_dev_t * devs, size_t n_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud);
+
     //
     // Utils
     //
diff --git a/ggml/include/ggml-cuda.h b/ggml/include/ggml-cuda.h
index 22ad2c0096321d4a1b3e0aa6cb22726c3eccde97..5436c7ef579ccfef8891b77a8905c093d71b71b7 100644
--- a/ggml/include/ggml-cuda.h
+++ b/ggml/include/ggml-cuda.h
@@ -27,6 +27,9 @@ GGML_BACKEND_API bool ggml_backend_is_cuda(ggml_backend_t backend);
 // device buffer
 GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device);
 
+// conduct allreduce operation between devices
+GGML_BACKEND_API bool ggml_backend_cuda_allreduce_tensor(ggml_backend_t * backends, struct ggml_tensor ** tensors, size_t n_backends);
+
 // split tensor buffer that splits matrices by rows across multiple devices
 GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(int main_device, const float * tensor_split);
 
diff --git a/ggml/include/ggml-rpc.h b/ggml/include/ggml-rpc.h
index 1c11495b66ed3733d9addf0e5f9fa5750b359b63..6fcf5a43393648011c382dd57b8d17be718e0439 100644
--- a/ggml/include/ggml-rpc.h
+++ b/ggml/include/ggml-rpc.h
@@ -6,9 +6,9 @@
 extern "C" {
 #endif
 
-#define RPC_PROTO_MAJOR_VERSION    3
-#define RPC_PROTO_MINOR_VERSION    6
-#define RPC_PROTO_PATCH_VERSION    1
+#define RPC_PROTO_MAJOR_VERSION    4
+#define RPC_PROTO_MINOR_VERSION    0
+#define RPC_PROTO_PATCH_VERSION    0
 
 #ifdef  __cplusplus
 static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT has changed - update RPC_PROTO_PATCH_VERSION");
diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h
index 669f66b650fb812ef9e394679de4f0bb62e8987e..703e37831361634e2e0969855dc0fefea81500be 100644
--- a/ggml/include/ggml.h
+++ b/ggml/include/ggml.h
@@ -428,7 +428,8 @@ extern "C" {
         // GGML_TYPE_IQ4_NL_8_8 = 38,
         GGML_TYPE_MXFP4   = 39, // MXFP4 (1 block)
         GGML_TYPE_NVFP4   = 40, // NVFP4 (4 blocks, E4M3 scale)
-        GGML_TYPE_COUNT   = 41,
+        GGML_TYPE_Q1_0    = 41,
+        GGML_TYPE_COUNT   = 42,
     };
 
     // precision
@@ -465,6 +466,7 @@ extern "C" {
         GGML_FTYPE_MOSTLY_BF16    = 24, // except 1d tensors
         GGML_FTYPE_MOSTLY_MXFP4   = 25, // except 1d tensors
         GGML_FTYPE_MOSTLY_NVFP4   = 26, // except 1d tensors
+        GGML_FTYPE_MOSTLY_Q1_0    = 27, // except 1d tensors
     };
 
     // available tensor operations:
@@ -900,15 +902,17 @@ extern "C" {
             struct ggml_tensor  * b,
             struct ggml_tensor  * ids);
 
-    GGML_API struct ggml_tensor * ggml_add1(
+    GGML_DEPRECATED(GGML_API struct ggml_tensor * ggml_add1(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
-            struct ggml_tensor  * b);
+            struct ggml_tensor  * b),
+        "use ggml_add instead");
 
-    GGML_API struct ggml_tensor * ggml_add1_inplace(
+    GGML_DEPRECATED(GGML_API struct ggml_tensor * ggml_add1_inplace(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
-            struct ggml_tensor  * b);
+            struct ggml_tensor  * b),
+        "use ggml_add_inplace instead");
 
     // dst = a
     // view(dst, nb1, nb2, nb3, offset) += b
@@ -1769,8 +1773,32 @@ extern "C" {
             int                   n_dims,
             int                   mode);
 
-    // custom RoPE
+    // RoPE operations with extended options
+    // a is the input tensor to apply RoPE to, shape [n_embd, n_head, n_token]
+    // b is an int32 vector with size n_token
     // c is freq factors (e.g. phi3-128k), (optional)
+    // mode can be GGML_ROPE_TYPE_NORMAL or NEOX; for MROPE and VISION mode, use ggml_rope_multi
+    //
+    // pseudo-code for computing theta:
+    //   for i in [0, n_dims/2):
+    //     theta[i] = b[i] * powf(freq_base, -2.0 * i / n_dims);
+    //     theta[i] = theta[i] / c[i];  # if c is provided, divide theta by c
+    //     theta[i] = rope_yarn(theta[i], ...);  # note: theta = theta * freq_scale is applied here
+    //
+    // other params are used by YaRN RoPE scaling, these default values will disable YaRN:
+    //   freq_scale  = 1.0f
+    //   ext_factor  = 0.0f
+    //   attn_factor = 1.0f
+    //   beta_fast   = 0.0f
+    //   beta_slow   = 0.0f
+    //
+    // example:
+    //   (marking: c = cos, s = sin, 0 = unrotated)
+    //   given a single head with size = 8 --> [00000000]
+    //   GGML_ROPE_TYPE_NORMAL  n_dims = 4 --> [cscs0000]
+    //   GGML_ROPE_TYPE_NORMAL  n_dims = 8 --> [cscscscs]
+    //   GGML_ROPE_TYPE_NEOX    n_dims = 4 --> [ccss0000]
+    //   GGML_ROPE_TYPE_NEOX    n_dims = 8 --> [ccccssss]
     GGML_API struct ggml_tensor * ggml_rope_ext(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
@@ -1786,6 +1814,36 @@ extern "C" {
             float                 beta_fast,
             float                 beta_slow);
 
+    // multi-dimensional RoPE, for Qwen-VL and similar vision models
+    // mode can be either VISION, MROPE, IMROPE, cannot be combined with NORMAL or NEOX
+    // sections specify how many dimensions to rotate in each section:
+    //   section length is equivalent to number of cos/sin pairs, NOT the number of dims
+    //   (i.e. sum of 4 sections are expected to be n_dims/2)
+    //   last sections can be 0, means ignored
+    // all other options are identical to ggml_rope_ext
+    //
+    // important note:
+    //   - NEOX ordering is automatically applied and cannot be disabled for MROPE and VISION
+    //     if you need normal ordering, there are 2 methods:
+    //     (1) split the tensor manually using ggml_view
+    //     (2) permute the weight upon conversion
+    //   - for VISION, n_dims must be head_size/2
+    //
+    // example M-RoPE:
+    //  given sections = [t=4, y=2, x=2, 0]
+    //  given a single head with size = 18 --> [000000000000000000]
+    //  GGML_ROPE_TYPE_MROPE   n_dims = 16 --> [ttttyyxxttttyyxx00] (cos/sin are applied in NEOX ordering)
+    //  GGML_ROPE_TYPE_IMROPE  n_dims = 16 --> [ttyxttyxttyxttyx00] (interleaved M-RoPE, still NEOX ordering)
+    //  note: the theta for each dim is computed the same way as ggml_rope_ext, no matter the section
+    //        in other words, idx used for theta: [0123456789... until n_dims/2], not reset for each section
+    //
+    // example vision RoPE:
+    //  given sections = [y=4, x=4, 0, 0] (last 2 sections are ignored)
+    //  given a single head with size = 8 --> [00000000]
+    //  GGML_ROPE_TYPE_VISION  n_dims = 4 --> [yyyyxxxx]
+    //  other values of n_dims are untested and is undefined behavior
+    //  note: unlike MROPE, the theta for each dim is computed differently for each section
+    //        in other words, idx used for theta: [0123] for y section, then [0123] for x section
     GGML_API struct ggml_tensor * ggml_rope_multi(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
diff --git a/ggml/include/gguf.h b/ggml/include/gguf.h
index 79ee202062b0183e6601dc2fddf73882d99f500c..02d5f221c03c8917ca8fea8a0d69df2b7abe42a6 100644
--- a/ggml/include/gguf.h
+++ b/ggml/include/gguf.h
@@ -77,6 +77,7 @@ extern "C" {
     };
 
     GGML_API struct gguf_context * gguf_init_empty(void);
+    GGML_API struct gguf_context * gguf_init_from_file_ptr(FILE * file, struct gguf_init_params params);
     GGML_API struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_params params);
     //GGML_API struct gguf_context * gguf_init_from_buffer(..);
 
@@ -189,6 +190,7 @@ extern "C" {
     //
 
     // write the entire context to a binary file
+    GGML_API bool gguf_write_to_file_ptr(const struct gguf_context * ctx, FILE * file, bool only_meta);
     GGML_API bool gguf_write_to_file(const struct gguf_context * ctx, const char * fname, bool only_meta);
 
     // get the size in bytes of the meta data (header, kv pairs, tensor info) including padding
diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt
index 78853304d9f0078ca1e0a1fc7f7710dc4192fa20..01d7cb092616b8bed23b107f57903149eada3520 100644
--- a/ggml/src/CMakeLists.txt
+++ b/ggml/src/CMakeLists.txt
@@ -1,493 +1,3 @@
-include(CheckCXXCompilerFlag)
-include("../cmake/common.cmake")
-
-add_compile_definitions(GGML_SCHED_MAX_COPIES=${GGML_SCHED_MAX_COPIES})
-
-# enable libstdc++ assertions for debug builds
-if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-    add_compile_definitions($<$<CONFIG:Debug>:_GLIBCXX_ASSERTIONS>)
-endif()
-
-if (NOT MSVC)
-    if (GGML_SANITIZE_THREAD)
-        add_compile_options(-fsanitize=thread)
-        link_libraries     (-fsanitize=thread)
-    endif()
-
-    if (GGML_SANITIZE_ADDRESS)
-        add_compile_options(-fsanitize=address -fno-omit-frame-pointer)
-        link_libraries     (-fsanitize=address)
-    endif()
-
-    if (GGML_SANITIZE_UNDEFINED)
-        add_compile_options(-fsanitize=undefined)
-        link_libraries     (-fsanitize=undefined)
-    endif()
-endif()
-
-if (GGML_FATAL_WARNINGS)
-    if (CMAKE_CXX_COMPILER_ID MATCHES "GNU" OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
-        list(APPEND C_FLAGS   -Werror)
-        list(APPEND CXX_FLAGS -Werror)
-    elseif (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
-        add_compile_options(/WX)
-    endif()
-endif()
-
-if (GGML_ALL_WARNINGS)
-    if (NOT MSVC)
-        list(APPEND WARNING_FLAGS -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function)
-        list(APPEND C_FLAGS       -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes
-                                  -Werror=implicit-int -Werror=implicit-function-declaration)
-        list(APPEND CXX_FLAGS     -Wmissing-declarations -Wmissing-noreturn)
-
-        list(APPEND C_FLAGS   ${WARNING_FLAGS})
-        list(APPEND CXX_FLAGS ${WARNING_FLAGS})
-
-        ggml_get_flags(${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION})
-
-        add_compile_options("$<$<COMPILE_LANGUAGE:C>:${C_FLAGS};${GF_C_FLAGS}>"
-                            "$<$<COMPILE_LANGUAGE:CXX>:${CXX_FLAGS};${GF_CXX_FLAGS}>")
-    else()
-        # todo : msvc
-        set(C_FLAGS   "")
-        set(CXX_FLAGS "")
-    endif()
-endif()
-
-if (GGML_LTO)
-    include(CheckIPOSupported)
-    check_ipo_supported(RESULT result OUTPUT output)
-    if (result)
-        set(CMAKE_INTERPROCEDURAL_OPTIMIZATION TRUE)
-    else()
-        message(WARNING "IPO is not supported: ${output}")
-    endif()
-endif()
-
-if (GGML_CCACHE AND NOT CMAKE_C_COMPILER_LAUNCHER AND NOT CMAKE_CXX_COMPILER_LAUNCHER)
-    find_program(GGML_CCACHE_FOUND ccache)
-    find_program(GGML_SCCACHE_FOUND sccache)
-
-    if (GGML_CCACHE_FOUND OR GGML_SCCACHE_FOUND)
-        if(GGML_CCACHE_FOUND)
-            set(GGML_CCACHE_VARIANT ccache)
-        else()
-            set(GGML_CCACHE_VARIANT sccache)
-        endif()
-        # TODO: should not be set globally
-        if (GGML_SYCL AND GGML_CCACHE_FOUND AND WIN32)
-            set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE "ccache compiler_type=icl")
-        else ()
-            set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE "${GGML_CCACHE_VARIANT}")
-        endif ()
-        set(ENV{CCACHE_SLOPPINESS} time_macros)
-        message(STATUS "${GGML_CCACHE_VARIANT} found, compilation results will be cached. Disable with GGML_CCACHE=OFF.")
-    else()
-        message(STATUS "Warning: ccache not found - consider installing it for faster compilation or disable this warning with GGML_CCACHE=OFF")
-    endif ()
-endif()
-
-# this version of Apple ld64 is buggy
-execute_process(
-    COMMAND ${CMAKE_C_COMPILER} ${CMAKE_EXE_LINKER_FLAGS} -Wl,-v
-    ERROR_VARIABLE output
-    OUTPUT_QUIET
-)
-
-if (output MATCHES "dyld-1015\.7")
-    add_compile_definitions(HAVE_BUGGY_APPLE_LINKER)
-endif()
-
-# architecture specific
-# TODO: probably these flags need to be tweaked on some architectures
-#       feel free to update the Makefile for your architecture and send a pull request or issue
-message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}")
-if (MSVC)
-    string(TOLOWER "${CMAKE_GENERATOR_PLATFORM}" CMAKE_GENERATOR_PLATFORM_LWR)
-    message(STATUS "CMAKE_GENERATOR_PLATFORM: ${CMAKE_GENERATOR_PLATFORM}")
-else ()
-    set(CMAKE_GENERATOR_PLATFORM_LWR "")
-endif ()
-ggml_get_system_arch()
-message(STATUS "GGML_SYSTEM_ARCH: ${GGML_SYSTEM_ARCH}")
-
-if (NOT MSVC)
-    if (GGML_STATIC)
-        if (UNIX AND NOT APPLE)
-            set(CMAKE_FIND_LIBRARY_SUFFIXES ".a;.so")
-        endif()
-        add_link_options(-static)
-        if (MINGW)
-            add_link_options(-static-libgcc -static-libstdc++)
-        endif()
-    endif()
-    if (GGML_GPROF)
-        add_compile_options(-pg)
-    endif()
-endif()
-
-#
-# POSIX conformance
-#
-
-# clock_gettime came in POSIX.1b (1993)
-# CLOCK_MONOTONIC came in POSIX.1-2001 / SUSv3 as optional
-# posix_memalign came in POSIX.1-2001 / SUSv3
-# M_PI is an XSI extension since POSIX.1-2001 / SUSv3, came in XPG1 (1985)
-
-# Somehow in OpenBSD whenever POSIX conformance is specified
-# some string functions rely on locale_t availability,
-# which was introduced in POSIX.1-2008, forcing us to go higher
-if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD")
-    add_compile_definitions(_XOPEN_SOURCE=700)
-elseif (CMAKE_SYSTEM_NAME MATCHES "AIX")
-    # Don't define _XOPEN_SOURCE.  We need _ALL_SOURCE, which is the default,
-    # in order to define _SC_PHYS_PAGES.
-else()
-    add_compile_definitions(_XOPEN_SOURCE=600)
-endif()
-
-# Data types, macros and functions related to controlling CPU affinity and
-# some memory allocation are available on Linux through GNU extensions in libc
-if (CMAKE_SYSTEM_NAME MATCHES "Linux" OR CMAKE_SYSTEM_NAME MATCHES "Android")
-    add_compile_definitions(_GNU_SOURCE)
-endif()
-
-# RLIMIT_MEMLOCK came in BSD, is not specified in POSIX.1,
-# and on macOS its availability depends on enabling Darwin extensions
-# similarly on DragonFly, enabling BSD extensions is necessary
-if (
-    CMAKE_SYSTEM_NAME MATCHES "Darwin" OR
-    CMAKE_SYSTEM_NAME MATCHES "iOS"    OR
-    CMAKE_SYSTEM_NAME MATCHES "tvOS"   OR
-    CMAKE_SYSTEM_NAME MATCHES "DragonFly"
-)
-    add_compile_definitions(_DARWIN_C_SOURCE)
-endif()
-
-# alloca is a non-standard interface that is not visible on BSDs when
-# POSIX conformance is specified, but not all of them provide a clean way
-# to enable it in such cases
-if (CMAKE_SYSTEM_NAME MATCHES "FreeBSD")
-    add_compile_definitions(__BSD_VISIBLE)
-endif()
-if (CMAKE_SYSTEM_NAME MATCHES "NetBSD")
-    add_compile_definitions(_NETBSD_SOURCE)
-endif()
-if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD")
-    add_compile_definitions(_BSD_SOURCE)
-endif()
-
-if (WIN32)
-    add_compile_definitions(_CRT_SECURE_NO_WARNINGS)
-endif()
-
-# ggml
-
-if (GGML_BACKEND_DL AND NOT BUILD_SHARED_LIBS)
-    message(FATAL_ERROR "GGML_BACKEND_DL requires BUILD_SHARED_LIBS")
-endif()
-
-add_library(ggml-base
-            ../include/ggml.h
-            ../include/ggml-alloc.h
-            ../include/ggml-backend.h
-            ../include/ggml-cpp.h
-            ../include/ggml-opt.h
-            ../include/gguf.h
-            ggml.c
-            ggml.cpp
-            ggml-alloc.c
-            ggml-backend.cpp
-            ggml-opt.cpp
-            ggml-threading.cpp
-            ggml-threading.h
-            ggml-quants.c
-            ggml-quants.h
-            gguf.cpp)
-
-set_target_properties(ggml-base PROPERTIES
-    VERSION ${GGML_VERSION}
-    SOVERSION ${GGML_VERSION_MAJOR}
-)
-
-target_include_directories(ggml-base PRIVATE .)
-if (GGML_BACKEND_DL)
-    target_compile_definitions(ggml-base PUBLIC GGML_BACKEND_DL)
-endif()
-
-if (GGML_SCHED_NO_REALLOC)
-    target_compile_definitions(ggml-base PUBLIC GGML_SCHED_NO_REALLOC)
-endif()
-
-add_library(ggml
-            ggml-backend-dl.cpp
-            ggml-backend-reg.cpp)
-add_library(ggml::ggml ALIAS ggml)
-
-set_target_properties(ggml PROPERTIES
-    VERSION ${GGML_VERSION}
-    SOVERSION ${GGML_VERSION_MAJOR}
-)
-
-if (GGML_BACKEND_DIR)
-    if (NOT GGML_BACKEND_DL)
-        message(FATAL_ERROR "GGML_BACKEND_DIR requires GGML_BACKEND_DL")
-    endif()
-    target_compile_definitions(ggml PUBLIC GGML_BACKEND_DIR="${GGML_BACKEND_DIR}")
-endif()
-
-target_link_libraries(ggml PUBLIC ggml-base)
-
-if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-    target_link_libraries(ggml PRIVATE dl)
-endif()
-
-function(ggml_add_backend_library backend)
-    if (GGML_BACKEND_DL)
-        add_library(${backend} MODULE ${ARGN})
-        # write the shared library to the output directory
-        set_target_properties(${backend} PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY})
-        target_compile_definitions(${backend} PRIVATE GGML_BACKEND_DL)
-        add_dependencies(ggml ${backend})
-        if (GGML_BACKEND_DIR)
-            install(TARGETS ${backend} LIBRARY DESTINATION ${GGML_BACKEND_DIR})
-        else()
-            install(TARGETS ${backend} LIBRARY DESTINATION ${CMAKE_INSTALL_BINDIR})
-        endif()
-    else()
-        add_library(${backend} ${ARGN})
-        target_link_libraries(ggml PUBLIC ${backend})
-        install(TARGETS ${backend} LIBRARY)
-    endif()
-
-    target_link_libraries(${backend} PRIVATE ggml-base)
-    target_include_directories(${backend} PRIVATE ..)
-
-    if (${BUILD_SHARED_LIBS})
-        target_compile_definitions(${backend} PRIVATE GGML_BACKEND_BUILD)
-        target_compile_definitions(${backend} PUBLIC  GGML_BACKEND_SHARED)
-    endif()
-
-    # Set versioning properties for all backend libraries
-    # Building a MODULE library with a version is not supported on macOS (https://gitlab.kitware.com/cmake/cmake/-/issues/20782)
-    if (NOT (APPLE AND GGML_BACKEND_DL))
-        set_target_properties(${backend} PROPERTIES
-            VERSION ${GGML_VERSION}
-            SOVERSION ${GGML_VERSION_MAJOR}
-        )
-    endif()
-
-    if(NOT GGML_AVAILABLE_BACKENDS)
-        set(GGML_AVAILABLE_BACKENDS "${backend}"
-            CACHE INTERNAL "List of backends for cmake package")
-    else()
-        list(FIND GGML_AVAILABLE_BACKENDS "${backend}" has_backend)
-        if(has_backend EQUAL -1)
-            set(GGML_AVAILABLE_BACKENDS "${GGML_AVAILABLE_BACKENDS};${backend}"
-                CACHE INTERNAL "List of backends for cmake package")
-        endif()
-    endif()
-endfunction()
-
-function(ggml_add_backend backend)
-    string(TOUPPER "GGML_${backend}" backend_id)
-    if (${backend_id})
-        string(TOLOWER "ggml-${backend}" backend_target)
-        add_subdirectory(${backend_target})
-        message(STATUS "Including ${backend} backend")
-        if (NOT GGML_BACKEND_DL)
-            string(TOUPPER "GGML_USE_${backend}" backend_use)
-            target_compile_definitions(ggml PUBLIC ${backend_use})
-        endif()
-    endif()
-endfunction()
-
-function(ggml_add_cpu_backend_variant tag_name)
-    set(GGML_CPU_TAG_NAME ${tag_name})
-    # other: OPENMP LLAMAFILE CPU_HBM
-    if (GGML_SYSTEM_ARCH STREQUAL "x86")
-        foreach (feat NATIVE
-                      SSE42
-                      AVX AVX2 BMI2 AVX_VNNI FMA F16C
-                      AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16
-                      AMX_TILE AMX_INT8 AMX_BF16)
-            set(GGML_${feat} OFF)
-        endforeach()
-
-        foreach (feat ${ARGN})
-            set(GGML_${feat} ON)
-        endforeach()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "ARM")
-        foreach (feat ${ARGN})
-            set(GGML_INTERNAL_${feat} ON)
-        endforeach()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "PowerPC")
-        foreach (feat ${ARGN})
-            set(GGML_INTERNAL_${feat} ON)
-        endforeach()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "s390x")
-        foreach (feat VXE2 NNPA)
-            set(GGML_INTERNAL_${feat} OFF)
-        endforeach()
-
-        foreach (feat ${ARGN})
-            set(GGML_INTERNAL_${feat} ON)
-        endforeach()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "riscv64")
-        foreach (feat RVV)
-            set(GGML_INTERNAL_${feat} OFF)
-        endforeach()
-
-        foreach (feat ${ARGN})
-            set(GGML_INTERNAL_${feat} ON)
-        endforeach()
-    endif()
-
-    ggml_add_cpu_backend_variant_impl(${tag_name})
-endfunction()
-
-ggml_add_backend(CPU)
-
-if (GGML_CPU_ALL_VARIANTS)
-    if (NOT GGML_BACKEND_DL)
-        message(FATAL_ERROR "GGML_CPU_ALL_VARIANTS requires GGML_BACKEND_DL")
-    elseif (GGML_CPU_ARM_ARCH)
-        message(FATAL_ERROR "Cannot use both GGML_CPU_ARM_ARCH and GGML_CPU_ALL_VARIANTS")
-    endif()
-    if (GGML_SYSTEM_ARCH STREQUAL "x86")
-        ggml_add_cpu_backend_variant(x64)
-        ggml_add_cpu_backend_variant(sse42              SSE42)
-        ggml_add_cpu_backend_variant(sandybridge        SSE42 AVX)
-        if (NOT MSVC)
-            # __FMA__ and __F16C__ are not defined in MSVC, however they are implied with AVX2/AVX512
-            ggml_add_cpu_backend_variant(ivybridge      SSE42 AVX F16C)
-            ggml_add_cpu_backend_variant(piledriver     SSE42 AVX F16C FMA)
-        endif()
-        ggml_add_cpu_backend_variant(haswell            SSE42 AVX F16C FMA AVX2 BMI2)
-        ggml_add_cpu_backend_variant(skylakex           SSE42 AVX F16C FMA AVX2 BMI2 AVX512)
-        ggml_add_cpu_backend_variant(cannonlake         SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI)
-        ggml_add_cpu_backend_variant(cascadelake        SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VNNI)
-        ggml_add_cpu_backend_variant(icelake            SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI AVX512_VNNI)
-        if (NOT MSVC)
-            # MSVC 2022 doesn't support BF16 intrinsics without `/arch:AVX10.1` ?!
-            # https://learn.microsoft.com/en-us/cpp/intrinsics/x64-amd64-intrinsics-list?view=msvc-170
-            # https://learn.microsoft.com/en-us/cpp/build/reference/arch-x64?view=msvc-170
-            ggml_add_cpu_backend_variant(cooperlake     SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VNNI AVX512_BF16)
-            ggml_add_cpu_backend_variant(zen4           SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16)
-        endif()
-        ggml_add_cpu_backend_variant(alderlake          SSE42 AVX F16C FMA AVX2 BMI2 AVX_VNNI)
-        if (NOT MSVC)
-            # MSVC doesn't support AMX
-            ggml_add_cpu_backend_variant(sapphirerapids SSE42 AVX F16C FMA AVX2 BMI2 AVX512 AVX512_VBMI AVX512_VNNI AVX512_BF16 AMX_TILE AMX_INT8)
-        endif()
-    elseif(GGML_SYSTEM_ARCH STREQUAL "ARM")
-        if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-            # Many of these features are optional so we build versions with popular
-            # combinations and name the backends based on the version they were
-            # first released with
-            ggml_add_cpu_backend_variant(armv8.0_1)
-            ggml_add_cpu_backend_variant(armv8.2_1    DOTPROD)
-            ggml_add_cpu_backend_variant(armv8.2_2    DOTPROD FP16_VECTOR_ARITHMETIC)
-            ggml_add_cpu_backend_variant(armv8.2_3    DOTPROD FP16_VECTOR_ARITHMETIC SVE)
-            ggml_add_cpu_backend_variant(armv8.6_1    DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8)
-            ggml_add_cpu_backend_variant(armv8.6_2    DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8 SVE2)
-            ggml_add_cpu_backend_variant(armv9.2_1    DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8 SME)
-            ggml_add_cpu_backend_variant(armv9.2_2    DOTPROD FP16_VECTOR_ARITHMETIC SVE MATMUL_INT8 SVE2 SME)
-        elseif (CMAKE_SYSTEM_NAME MATCHES "Android")
-            # Android-specific backends with SoC-compatible feature sets
-            ggml_add_cpu_backend_variant(android_armv8.0_1)
-            ggml_add_cpu_backend_variant(android_armv8.2_1    DOTPROD)
-            ggml_add_cpu_backend_variant(android_armv8.2_2    DOTPROD FP16_VECTOR_ARITHMETIC)
-            ggml_add_cpu_backend_variant(android_armv8.6_1    DOTPROD FP16_VECTOR_ARITHMETIC MATMUL_INT8)
-            ggml_add_cpu_backend_variant(android_armv9.0_1    DOTPROD MATMUL_INT8 FP16_VECTOR_ARITHMETIC SVE2)
-            ggml_add_cpu_backend_variant(android_armv9.2_1    DOTPROD MATMUL_INT8 FP16_VECTOR_ARITHMETIC SVE SME)
-            ggml_add_cpu_backend_variant(android_armv9.2_2    DOTPROD MATMUL_INT8 FP16_VECTOR_ARITHMETIC SVE SVE2 SME)
-        elseif (APPLE)
-            ggml_add_cpu_backend_variant(apple_m1             DOTPROD)
-            ggml_add_cpu_backend_variant(apple_m2_m3          DOTPROD MATMUL_INT8)
-            ggml_add_cpu_backend_variant(apple_m4             DOTPROD MATMUL_INT8 NOSVE SME)
-        else()
-            message(FATAL_ERROR "Unsupported ARM target OS: ${CMAKE_SYSTEM_NAME}")
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "PowerPC")
-        if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-            ggml_add_cpu_backend_variant(power0)
-            ggml_add_cpu_backend_variant(power7_1       POWER7)
-            ggml_add_cpu_backend_variant(power7_2       POWER7  VSX)
-            ggml_add_cpu_backend_variant(power8_1       POWER8)
-            ggml_add_cpu_backend_variant(power8_2       POWER8  VSX)
-            ggml_add_cpu_backend_variant(power9         POWER9  VSX)
-            ggml_add_cpu_backend_variant(power10        POWER10 VSX)
-            ggml_add_cpu_backend_variant(power11        POWER11 VSX)
-        else()
-            message(FATAL_ERROR "Unsupported PowerPC target OS: ${CMAKE_SYSTEM_NAME}")
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "s390x")
-        if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-            ggml_add_cpu_backend_variant(z15    Z15 VXE2)
-            ggml_add_cpu_backend_variant(z16    Z16 VXE2 NNPA)
-        else()
-            message(FATAL_ERROR "Unsupported s390x target OS: ${CMAKE_SYSTEM_NAME}")
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "riscv64")
-        if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-            ggml_add_cpu_backend_variant(riscv64_0)
-            ggml_add_cpu_backend_variant(riscv64_v   RVV)
-        else()
-            message(FATAL_ERROR "Unsupported RISC-V target OS: ${CMAKE_SYSTEM_NAME}")
-        endif()
-    else()
-        message(FATAL_ERROR "GGML_CPU_ALL_VARIANTS not yet supported with ${GGML_SYSTEM_ARCH} on ${CMAKE_SYSTEM_NAME}")
-    endif()
-elseif (GGML_CPU)
-    ggml_add_cpu_backend_variant_impl("")
-endif()
-
-ggml_add_backend(BLAS)
-ggml_add_backend(CANN)
-ggml_add_backend(CUDA)
-ggml_add_backend(HIP)
-ggml_add_backend(METAL)
-ggml_add_backend(MUSA)
-ggml_add_backend(RPC)
-ggml_add_backend(VirtGPU)
-ggml_add_backend(SYCL)
-ggml_add_backend(Vulkan)
-ggml_add_backend(WebGPU)
-ggml_add_backend(zDNN)
-ggml_add_backend(OpenCL)
-ggml_add_backend(Hexagon)
-ggml_add_backend(ZenDNN)
-ggml_add_backend(OPENVINO)
-
-foreach (target ggml-base ggml)
-    target_include_directories(${target} PUBLIC    $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/../include> $<INSTALL_INTERFACE:include>)
-    target_compile_features   (${target} PRIVATE c_std_11 cxx_std_17) # don't bump
-endforeach()
-
-target_link_libraries(ggml-base PRIVATE Threads::Threads)
-
-find_library(MATH_LIBRARY m)
-if (MATH_LIBRARY)
-    if (NOT WIN32 OR NOT DEFINED ENV{ONEAPI_ROOT})
-        target_link_libraries(ggml-base PRIVATE m)
-    endif()
-endif()
-
-if (CMAKE_SYSTEM_NAME MATCHES "Android")
-    target_link_libraries(ggml-base PRIVATE dl)
-endif()
-
-if(CMAKE_SYSTEM_NAME MATCHES "visionOS")
-    target_compile_definitions(ggml-base PUBLIC _DARWIN_C_SOURCE)
-endif()
-
-if (BUILD_SHARED_LIBS)
-    foreach (target ggml-base ggml)
-        set_target_properties(${target} PROPERTIES POSITION_INDEPENDENT_CODE ON)
-        target_compile_definitions(${target} PRIVATE GGML_BUILD)
-        target_compile_definitions(${target} PUBLIC  GGML_SHARED)
-    endforeach()
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:40793a86bd00fda6434366399e88787c885f2abe201626d50718baf4446b516b
+size 19563
diff --git a/ggml/src/ggml-alloc.c b/ggml/src/ggml-alloc.c
index 7f414b2311cef2e4189419951ecfe9b56ca2fc3e..a4b01ccf8a16a9de98335b698f92203404d454ac 100644
--- a/ggml/src/ggml-alloc.c
+++ b/ggml/src/ggml-alloc.c
@@ -2,6 +2,7 @@
 #include "ggml-backend-impl.h"
 #include "ggml.h"
 #include "ggml-impl.h"
+
 #include <assert.h>
 #include <limits.h>
 #include <stdarg.h>
@@ -1236,6 +1237,9 @@ size_t ggml_backend_alloc_ctx_tensors_from_buft_size(struct ggml_context * ctx,
 
 ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) {
     size_t nbytes_total = 0;
+    if (ggml_backend_buft_is_meta(buft)) {
+        return ggml_backend_meta_alloc_ctx_tensors_from_buft(ctx, buft);
+    }
     return ggml_backend_alloc_ctx_tensors_from_buft_impl(ctx, buft, &nbytes_total, /*no_alloc =*/ false);
 }
 
diff --git a/ggml/src/ggml-backend-impl.h b/ggml/src/ggml-backend-impl.h
index 59190b7c4656d8cd55d649791f3417a875a2d94b..9c56ec30c5f176b6105874ec514d709c7afad4f1 100644
--- a/ggml/src/ggml-backend-impl.h
+++ b/ggml/src/ggml-backend-impl.h
@@ -49,6 +49,10 @@ extern "C" {
         void         (*memset_tensor)(ggml_backend_buffer_t buffer,       struct ggml_tensor * tensor,     uint8_t value, size_t offset, size_t size);
         void         (*set_tensor)   (ggml_backend_buffer_t buffer,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
         void         (*get_tensor)   (ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+        // (optional) 2d data copies
+        void         (*set_tensor_2d)(ggml_backend_buffer_t buffer,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+        void         (*get_tensor_2d)(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+
         // (optional) tensor copy: dst is in the buffer, src may be in any buffer, including buffers from a different backend (return false if not supported)
         bool         (*cpy_tensor)   (ggml_backend_buffer_t buffer, const struct ggml_tensor * src, struct ggml_tensor * dst);
         // clear the entire buffer
@@ -80,6 +84,20 @@ extern "C" {
     GGML_API bool                  ggml_backend_buffer_is_multi_buffer(ggml_backend_buffer_t buffer);
     GGML_API void                  ggml_backend_multi_buffer_set_usage(ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage);
 
+    //
+    // Backend (meta)
+    //
+
+    GGML_API bool ggml_backend_is_meta       (ggml_backend_t backend);
+    GGML_API bool ggml_backend_buffer_is_meta(ggml_backend_buffer_t buf);
+    GGML_API bool ggml_backend_buft_is_meta  (ggml_backend_buffer_type_t buft);
+
+    GGML_API size_t         ggml_backend_meta_n_backends    (ggml_backend_t meta_backend);
+    GGML_API ggml_backend_t ggml_backend_meta_simple_backend(ggml_backend_t meta_backend, size_t index);
+
+    // temporary workaround to statically allocate tensors from a context in a deduplicated way:
+    GGML_API struct ggml_backend_buffer * ggml_backend_meta_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft);
+
     //
     // Backend (stream)
     //
@@ -90,8 +108,10 @@ extern "C" {
         void (*free)(ggml_backend_t backend);
 
         // (optional) asynchronous tensor data access
-        void (*set_tensor_async)(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
-        void (*get_tensor_async)(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+        void (*set_tensor_async)   (ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
+        void (*get_tensor_async)   (ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+        void (*set_tensor_2d_async)(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+        void (*get_tensor_2d_async)(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
         bool (*cpy_tensor_async)(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst);
 
         // (optional) complete all pending operations (required if the backend supports async operations)
diff --git a/ggml/src/ggml-backend-meta.cpp b/ggml/src/ggml-backend-meta.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..6d22f3421b1a0cc0d025c2520afbed88c3d43634
--- /dev/null
+++ b/ggml/src/ggml-backend-meta.cpp
@@ -0,0 +1,2092 @@
+#include "ggml.h"
+#include "ggml-impl.h"
+#include "ggml-backend.h"
+#include "ggml-backend-impl.h"
+#include "ggml-alloc.h"
+#include "ggml-cpp.h"
+
+#include <algorithm>
+#include <cassert>
+#include <cmath>
+#include <cstddef>
+#include <cstdint>
+#include <cstring>
+#include <map>
+#include <memory>
+#include <string>
+#include <tuple>
+#include <utility>
+#include <vector>
+
+struct ggml_backend_meta_device;
+struct ggml_backend_meta_buffer_type;
+struct ggml_backend_meta_buffer;
+struct ggml_backend_meta;
+
+const char * ggml_backend_meta_split_axis_name(enum ggml_backend_meta_split_axis split_axis) {
+    switch (split_axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+            return "0";
+        case GGML_BACKEND_SPLIT_AXIS_1:
+            return "1";
+        case GGML_BACKEND_SPLIT_AXIS_2:
+            return "2";
+        case GGML_BACKEND_SPLIT_AXIS_3:
+            return "3";
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            return "MIRRORED";
+        case GGML_BACKEND_SPLIT_AXIS_PARTIAL:
+            return "PARTIAL";
+        case GGML_BACKEND_SPLIT_AXIS_NONE:
+            return "NONE";
+        case GGML_BACKEND_SPLIT_AXIS_UNKNOWN:
+            return "UNKNOWN";
+        default:
+            GGML_ABORT("fatal error");
+    }
+}
+
+//
+// meta backend device
+//
+
+struct ggml_backend_meta_device_context {
+    std::vector<ggml_backend_dev_t>     simple_devs;
+    ggml_backend_meta_get_split_state_t get_split_state;
+    void *                              get_split_state_ud;
+
+    std::string name;
+    std::string description;
+
+    ggml_backend_meta_device_context(
+            std::vector<ggml_backend_dev_t> simple_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud) :
+            simple_devs(std::move(simple_devs)), get_split_state(get_split_state), get_split_state_ud(get_split_state_ud) {
+        name        = std::string("Meta(");
+        description = std::string("Meta(");
+        for (size_t i = 0; i < simple_devs.size(); i++) {
+            if (i > 0) {
+                name        += ",";
+                description += ",";
+            }
+            name        += ggml_backend_dev_name       (simple_devs[i]);
+            description += ggml_backend_dev_description(simple_devs[i]);
+        }
+        name        += ")";
+        description += ")";
+    }
+
+    bool operator<(const ggml_backend_meta_device_context & other) const {
+        return std::tie(simple_devs, get_split_state, get_split_state_ud)
+            < std::tie(other.simple_devs, other.get_split_state, other.get_split_state_ud);
+    }
+};
+
+static bool ggml_backend_dev_is_meta(ggml_backend_dev_t dev);
+
+static const char * ggml_backend_meta_device_get_name(ggml_backend_dev_t dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    return meta_dev_ctx->name.c_str();
+}
+
+static const char * ggml_backend_meta_device_get_description(ggml_backend_dev_t dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    return meta_dev_ctx->description.c_str();
+}
+
+static void ggml_backend_meta_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    *free  = 0;
+    *total = 0;
+    for (ggml_backend_dev_t dev : meta_dev_ctx->simple_devs) {
+        size_t tmp_free, tmp_total;
+        ggml_backend_dev_memory(dev, &tmp_free, &tmp_total);
+        *free  += tmp_free;
+        *total += tmp_total;
+    }
+}
+
+static enum ggml_backend_dev_type ggml_backend_meta_device_get_type(ggml_backend_dev_t dev) {
+    return GGML_BACKEND_DEVICE_TYPE_META;
+
+    GGML_UNUSED(dev);
+}
+
+static void ggml_backend_meta_device_get_props(ggml_backend_dev_t dev, ggml_backend_dev_props * props) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+
+    // TODO replace placeholders
+    props->name        = ggml_backend_meta_device_get_name(dev);
+    props->description = ggml_backend_meta_device_get_description(dev);
+    props->type        = ggml_backend_meta_device_get_type(dev);
+    props->device_id   = 0;
+
+    ggml_backend_meta_device_get_memory(dev, &props->memory_free, &props->memory_total);
+
+    props->caps = {
+        /* .async                 = */ true,
+        /* .host_buffer           = */ false, // Not implemented.
+        /* .buffer_from_host_ptr  = */ false, // Not implemented.
+        /* .events                = */ false, // Not implemented.
+    };
+    for (ggml_backend_dev_t simple_dev : meta_dev_ctx->simple_devs) {
+        ggml_backend_dev_props tmp_props;
+        ggml_backend_dev_get_props(simple_dev, &tmp_props);
+        props->caps.async                = props->caps.async                && tmp_props.caps.async;
+        props->caps.host_buffer          = props->caps.host_buffer          && tmp_props.caps.host_buffer;
+        props->caps.buffer_from_host_ptr = props->caps.buffer_from_host_ptr && tmp_props.caps.buffer_from_host_ptr;
+        props->caps.events               = props->caps.events               && tmp_props.caps.events;
+    }
+}
+
+static ggml_backend_t ggml_backend_meta_device_init_backend(ggml_backend_dev_t dev, const char * params);
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_buffer_type(ggml_backend_dev_t dev);
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_host_buffer_type(ggml_backend_dev_t dev);
+
+static bool ggml_backend_meta_device_supports_op(ggml_backend_dev_t dev, const ggml_tensor * op) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    return std::all_of(meta_dev_ctx->simple_devs.begin(), meta_dev_ctx->simple_devs.end(),
+        [op](ggml_backend_dev_t simple_dev) { return ggml_backend_dev_supports_op(simple_dev, op); });
+}
+
+static bool ggml_backend_meta_device_supports_buft(ggml_backend_dev_t dev, ggml_backend_buffer_type_t buft) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    ggml_backend_dev_t dev_buft = ggml_backend_buft_get_device(buft);
+    if (!ggml_backend_dev_is_meta(dev_buft)) {
+        return false;
+    }
+    const ggml_backend_meta_device_context * meta_dev_ctx      = (const ggml_backend_meta_device_context *) dev->context;
+    const ggml_backend_meta_device_context * meta_buft_dev_ctx = (const ggml_backend_meta_device_context *) dev_buft->context;
+    if (meta_dev_ctx->simple_devs.size() != meta_buft_dev_ctx->simple_devs.size()) {
+        return false;
+    }
+    for (size_t i = 0; i < meta_dev_ctx->simple_devs.size(); i++) {
+        if (meta_dev_ctx->simple_devs[i] != meta_buft_dev_ctx->simple_devs[i]) {
+            return false;
+        }
+    }
+    return true;
+}
+
+static const ggml_backend_device_i ggml_backend_meta_device_iface = {
+    /* .get_name             = */ ggml_backend_meta_device_get_name,
+    /* .get_description      = */ ggml_backend_meta_device_get_description,
+    /* .get_memory           = */ ggml_backend_meta_device_get_memory,
+    /* .get_type             = */ ggml_backend_meta_device_get_type,
+    /* .get_props            = */ ggml_backend_meta_device_get_props,
+    /* .init_backend         = */ ggml_backend_meta_device_init_backend,
+    /* .get_buffer_type      = */ ggml_backend_meta_device_get_buffer_type,
+    /* .get_host_buffer_type = */ ggml_backend_meta_device_get_host_buffer_type,
+    /* .buffer_from_host_ptr = */ nullptr,
+    /* .supports_op          = */ ggml_backend_meta_device_supports_op,
+    /* .supports_buft        = */ ggml_backend_meta_device_supports_buft,
+    /* .offload_op           = */ nullptr,
+    /* .event_new            = */ nullptr,
+    /* .event_free           = */ nullptr,
+    /* .event_synchronize    = */ nullptr,
+};
+
+static bool ggml_backend_dev_is_meta(ggml_backend_dev_t dev) {
+    return dev != nullptr && dev->iface.get_name == ggml_backend_meta_device_iface.get_name;
+}
+
+static size_t ggml_backend_meta_dev_n_devs(ggml_backend_dev_t meta_dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(meta_dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) meta_dev->context;
+    return meta_dev_ctx->simple_devs.size();
+}
+
+static ggml_backend_dev_t ggml_backend_meta_dev_simple_dev(ggml_backend_dev_t meta_dev, size_t index) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(meta_dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) meta_dev->context;
+    GGML_ASSERT(index < meta_dev_ctx->simple_devs.size());
+    return meta_dev_ctx->simple_devs[index];
+}
+
+ggml_backend_dev_t ggml_backend_meta_device(
+        ggml_backend_dev_t * devs, size_t n_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud) {
+    GGML_ASSERT(n_devs <= GGML_BACKEND_META_MAX_DEVICES);
+    // TODO: this is not thread-safe - needs to be fixed
+    static std::vector<std::unique_ptr<ggml_backend_meta_device_context>>         ctxs;
+    static std::map<ggml_backend_meta_device_context, struct ggml_backend_device> meta_devs;
+
+    std::vector<ggml_backend_dev_t> simple_devs;
+    simple_devs.reserve(n_devs);
+    for (size_t i = 0; i < n_devs; i++) {
+        simple_devs.push_back(devs[i]);
+    }
+    ggml_backend_meta_device_context ctx(simple_devs, get_split_state, get_split_state_ud);
+
+    {
+        auto it = meta_devs.find(ctx);
+        if (it != meta_devs.end()) {
+            return &it->second;
+        }
+    }
+    ctxs.push_back(std::make_unique<ggml_backend_meta_device_context>(ctx));
+
+    struct ggml_backend_device meta_dev = {
+        /*iface  =*/ ggml_backend_meta_device_iface,
+        /*reg    =*/ nullptr,
+        /*ctx    =*/ ctxs.back().get(),
+    };
+
+    auto result = meta_devs.emplace(*ctxs.back(), meta_dev);
+    return &result.first->second;
+}
+
+//
+// meta backend buffer type
+//
+
+struct ggml_backend_meta_buffer_type_context {
+    std::vector<ggml_backend_buffer_type_t> simple_bufts;
+
+    std::string name;
+
+    ggml_backend_meta_buffer_type_context(std::vector<ggml_backend_buffer_type_t> simple_bufts) : simple_bufts(std::move(simple_bufts)) {
+        name = "Meta(";
+        for (size_t i = 0; i < simple_bufts.size(); i++) {
+            if (i > 0) {
+                name += ",";
+            }
+            name += ggml_backend_buft_name(simple_bufts[i]);
+        }
+        name += ")";
+    }
+
+    bool operator<(const ggml_backend_meta_buffer_type_context & other) const {
+        return simple_bufts < other.simple_bufts;
+    }
+};
+
+static size_t ggml_backend_meta_buft_n_bufts(ggml_backend_buffer_type_t meta_buft) {
+    GGML_ASSERT(ggml_backend_buft_is_meta(meta_buft));
+    const ggml_backend_meta_buffer_type_context * meta_buft_ctx = (const ggml_backend_meta_buffer_type_context *) meta_buft->context;
+    return meta_buft_ctx->simple_bufts.size();
+}
+
+static const char * ggml_backend_meta_buffer_type_get_name(ggml_backend_buffer_type_t buft) {
+    GGML_ASSERT(ggml_backend_buft_is_meta(buft));
+    const ggml_backend_meta_buffer_type_context * meta_buft_ctx = (const ggml_backend_meta_buffer_type_context *) buft->context;
+    return meta_buft_ctx->name.c_str();
+}
+
+static ggml_backend_buffer_type_t ggml_backend_meta_buft_simple_buft(ggml_backend_buffer_type_t meta_buft, size_t index) {
+    GGML_ASSERT(ggml_backend_buft_is_meta(meta_buft));
+    const ggml_backend_meta_buffer_type_context * meta_buft_ctx = (const ggml_backend_meta_buffer_type_context *) meta_buft->context;
+    GGML_ASSERT(index < meta_buft_ctx->simple_bufts.size());
+    return meta_buft_ctx->simple_bufts[index];
+}
+
+static ggml_backend_buffer_t ggml_backend_meta_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size);
+
+static size_t ggml_backend_meta_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    size_t max_alignment = 1;
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        const size_t alignment = ggml_backend_buft_get_alignment(ggml_backend_meta_buft_simple_buft(buft, i));
+        max_alignment = std::max(max_alignment, alignment);
+        GGML_ASSERT(max_alignment % alignment == 0);
+    }
+    return max_alignment;
+}
+
+static size_t ggml_backend_meta_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    size_t max_size = SIZE_MAX;
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        max_size = std::min(max_size, ggml_backend_buft_get_max_size(ggml_backend_meta_buft_simple_buft(buft, i)));
+    }
+    return max_size;
+}
+
+static size_t ggml_backend_meta_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    size_t max_alloc_size = 0;
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        const size_t alloc_size = ggml_backend_buft_get_alloc_size(ggml_backend_meta_buft_simple_buft(buft, i), tensor);
+        max_alloc_size = std::max(max_alloc_size, alloc_size);
+    }
+    return max_alloc_size;
+}
+
+static bool ggml_backend_meta_buffer_type_is_host(ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        if (!ggml_backend_buft_is_host(ggml_backend_meta_buft_simple_buft(buft, i))) {
+            return false;
+        }
+    }
+    return true;
+}
+
+static const struct ggml_backend_buffer_type_i ggml_backend_meta_buffer_type_iface = {
+    /* .get_name         = */ ggml_backend_meta_buffer_type_get_name,
+    /* .alloc_buffer     = */ ggml_backend_meta_buffer_type_alloc_buffer,
+    /* .get_alignment    = */ ggml_backend_meta_buffer_type_get_alignment,
+    /* .get_max_size     = */ ggml_backend_meta_buffer_type_get_max_size,
+    /* .get_alloc_size   = */ ggml_backend_meta_buffer_type_get_alloc_size,
+    /* .is_host          = */ ggml_backend_meta_buffer_type_is_host,
+};
+
+bool ggml_backend_buft_is_meta(ggml_backend_buffer_type_t buft) {
+    return buft != nullptr && buft->iface.get_name == ggml_backend_meta_buffer_type_iface.get_name;
+}
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_buffer_type(ggml_backend_dev_t dev) {
+    static std::map<ggml_backend_dev_t, struct ggml_backend_buffer_type> meta_bufts;
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    {
+        auto it = meta_bufts.find(dev);
+        if (it != meta_bufts.end()) {
+            return &it->second;
+        }
+    }
+
+    const size_t n_devs = ggml_backend_meta_dev_n_devs(dev);
+    std::vector<ggml_backend_buffer_type_t> simple_bufts;
+    simple_bufts.reserve(n_devs);
+    for (size_t i = 0; i < n_devs; i++) {
+        simple_bufts.push_back(ggml_backend_dev_buffer_type(ggml_backend_meta_dev_simple_dev(dev, i)));
+    }
+    ggml_backend_meta_buffer_type_context * buft_ctx = new ggml_backend_meta_buffer_type_context(simple_bufts);
+
+    struct ggml_backend_buffer_type meta_buft = {
+        /*iface  =*/ ggml_backend_meta_buffer_type_iface,
+        /*device =*/ dev,
+        /*ctx    =*/ buft_ctx,
+    };
+    auto result = meta_bufts.emplace(dev, meta_buft);
+    return &result.first->second;
+}
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_host_buffer_type(ggml_backend_dev_t dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+
+    ggml_backend_buffer_type_t host_buft = nullptr;
+    for (ggml_backend_dev_t simple_dev : meta_dev_ctx->simple_devs) {
+        ggml_backend_buffer_type_t simple_host_buft = ggml_backend_dev_host_buffer_type(simple_dev);
+        if (simple_host_buft == nullptr) {
+            return nullptr;
+        }
+        if (host_buft == nullptr) {
+            host_buft = simple_host_buft;
+        } else if (host_buft != simple_host_buft) {
+            // if different simple devices have different host buffer types,
+            // we cannot provide a single host buffer type for the meta device
+            return nullptr;
+        }
+    }
+    return host_buft;
+}
+
+//
+// meta backend buffer
+//
+
+struct ggml_backend_meta_buffer_context {
+    static constexpr size_t nbtc = GGML_TENSOR_SIZE - sizeof(ggml_tensor::padding);
+
+    std::map<std::pair<const ggml_tensor *, bool>, std::pair<ggml_backend_meta_split_state, char[nbtc]>> split_state_cache;
+    std::map<          const ggml_tensor *,        std::vector<ggml_tensor *>>                           simple_tensors;
+
+    struct buffer_config {
+        ggml_context          * ctx;
+        ggml_backend_buffer_t   buf;
+
+        buffer_config(ggml_context * ctx, ggml_backend_buffer_t buf) : ctx(ctx), buf(buf) {}
+    };
+    std::vector<buffer_config> buf_configs;
+
+    int debug;
+
+    ggml_backend_meta_buffer_context() {
+        const char * GGML_META_DEBUG = getenv("GGML_META_DEBUG");
+        debug = GGML_META_DEBUG ? atoi(GGML_META_DEBUG) : 0;
+    }
+};
+
+static void ggml_backend_meta_buffer_free_buffer(ggml_backend_buffer_t buffer) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(buffer));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) buffer->context;
+    for (auto & [ctx, buf] : buf_ctx->buf_configs) {
+        ggml_backend_buffer_free(buf);
+        ggml_free(ctx);
+    }
+    delete buf_ctx;
+}
+
+static size_t ggml_backend_meta_buffer_n_bufs(ggml_backend_buffer_t meta_buf) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(meta_buf));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) meta_buf->context;
+    return buf_ctx->buf_configs.size();
+}
+
+static ggml_backend_buffer_t ggml_backend_meta_buffer_simple_buffer(ggml_backend_buffer_t meta_buf, size_t index) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(meta_buf));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) meta_buf->context;
+    GGML_ASSERT(index < buf_ctx->buf_configs.size());
+    return buf_ctx->buf_configs[index].buf;
+}
+
+static struct ggml_tensor * ggml_backend_meta_buffer_simple_tensor(const struct ggml_tensor * tensor, size_t index) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(tensor->buffer));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) tensor->buffer->context;
+    GGML_ASSERT(index < buf_ctx->buf_configs.size());
+
+    auto it = buf_ctx->simple_tensors.find(tensor);
+    if (it == buf_ctx->simple_tensors.end()) {
+        return nullptr;
+    }
+    return it->second[index];
+}
+
+static struct ggml_backend_meta_split_state ggml_backend_meta_get_split_state(const struct ggml_tensor * tensor, bool assume_sync) {
+    const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(tensor->buffer);
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) tensor->buffer->context;
+
+    auto split_states_equal = [&](const ggml_backend_meta_split_state & a, const ggml_backend_meta_split_state & b) -> bool {
+        if (a.axis != b.axis) {
+            return false;
+        }
+        for (size_t j = 0; j < n_bufs; j++) {
+            int64_t sum_a = 0;
+            for (size_t s = 0; s < a.n_segments; s++) {
+                sum_a += a.ne[s*n_bufs + j];
+            }
+            int64_t sum_b = 0;
+            for (size_t s = 0; s < b.n_segments; s++) {
+                sum_b += b.ne[s*n_bufs + j];
+            }
+            if (sum_a != sum_b) {
+                return false;
+            }
+        }
+        return true;
+    };
+
+    auto handle_generic = [&](const std::vector<ggml_backend_meta_split_state> & src_ss, bool scalar_only) -> ggml_backend_meta_split_state {
+        ggml_backend_meta_split_state ret = {GGML_BACKEND_SPLIT_AXIS_NONE, {0}, 1};
+        for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+            if (tensor->src[i] == nullptr || tensor->src[i] == tensor) {
+                continue;
+            }
+            if (ret.axis == GGML_BACKEND_SPLIT_AXIS_NONE) {
+                ret = src_ss[i];
+            } else if (!split_states_equal(src_ss[i], ret)) {
+                ret = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+                break;
+            }
+        }
+        if (ret.axis == GGML_BACKEND_SPLIT_AXIS_NONE) {
+            ret = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+        }
+        if (scalar_only && ret.axis >= 0 && ret.axis < GGML_MAX_DIMS) {
+            ret = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+        }
+        GGML_ASSERT(ret.axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWN);
+        return ret;
+    };
+
+    // Some ops process data on a per-row bases:
+    auto handle_per_row = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(src_ss[0].axis != GGML_BACKEND_SPLIT_AXIS_0);
+        return src_ss[0];
+    };
+
+    // Some ops broadcast the src1 data across src0:
+    auto handle_bin_bcast = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS &&
+                tensor->src[1]->ne[src_ss[0].axis] == 1 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return src_ss[0];
+        }
+        if (src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && (src_ss[0].axis == src_ss[1].axis ||
+           (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && (src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL)))) {
+            return src_ss[0]; // GGML_OP_ADD_ID
+        }
+        GGML_ASSERT(tensor->src[2] == nullptr || src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        return handle_generic(src_ss, /*scalar_only =*/ false);
+    };
+
+    auto handle_concat = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        const ggml_backend_meta_split_axis concat_axis = ggml_backend_meta_split_axis(ggml_get_op_params_i32(tensor, 0));
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[1].axis >= 0 && src_ss[1].axis < GGML_MAX_DIMS) {
+            GGML_ASSERT(concat_axis != src_ss[1].axis);
+            return src_ss[1];
+        }
+        if (src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS) {
+            GGML_ASSERT(concat_axis != src_ss[0].axis);
+            return src_ss[0];
+        }
+        if (src_ss[0].axis == src_ss[1].axis && src_ss[0].axis != concat_axis) {
+            return src_ss[0];
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ true);
+    };
+
+    auto handle_mul_mat = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return {GGML_BACKEND_SPLIT_AXIS_MIRRORED, {0}, 1};
+        }
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            ggml_backend_meta_split_state ret = src_ss[0];
+            ret.axis = GGML_BACKEND_SPLIT_AXIS_0;
+            ret.n_segments = 1;
+            return ret;
+        }
+        if (src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_1 && src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            ggml_backend_meta_split_state ret = src_ss[1];
+            ret.n_segments = 1;
+            return ret;
+        }
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_0 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_0) {
+            GGML_ASSERT(split_states_equal(src_ss[0], src_ss[1]));
+            return {assume_sync ? GGML_BACKEND_SPLIT_AXIS_MIRRORED : GGML_BACKEND_SPLIT_AXIS_PARTIAL, {0}, 1};
+        }
+        GGML_ABORT("fatal error");
+        //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+    };
+
+    auto handle_cpy = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS) {
+            int64_t ne_split_src = tensor->src[0]->ne[0];
+            for (int dim = 1; dim <= src_ss[0].axis; dim++) {
+                ne_split_src *= tensor->src[0]->ne[dim];
+            }
+            int64_t ne_split_dst = 1;
+            for (int dim = 0; dim < GGML_MAX_DIMS; dim++) {
+                ne_split_dst *= tensor->ne[dim];
+                if (ne_split_dst == ne_split_src) {
+                    return {ggml_backend_meta_split_axis(dim), {0}, 1};
+                }
+            }
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ false);
+    };
+
+    auto handle_reshape = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        switch (src_ss[0].axis) {
+            case GGML_BACKEND_SPLIT_AXIS_0:
+            case GGML_BACKEND_SPLIT_AXIS_1:
+            case GGML_BACKEND_SPLIT_AXIS_2:
+            case GGML_BACKEND_SPLIT_AXIS_3: {
+                GGML_ASSERT(!ggml_is_permuted(tensor) && !ggml_is_permuted(tensor->src[0]));
+                if (src_ss[0].axis == ggml_n_dims(tensor->src[0]) - 1) {
+                    return {ggml_backend_meta_split_axis(ggml_n_dims(tensor) - 1), {0}, 1};
+                }
+                std::vector<int64_t> base_ne_in;
+                base_ne_in.reserve(GGML_MAX_DIMS - src_ss[0].axis);
+                {
+                    base_ne_in.push_back(1);
+                    int dim = 0;
+                    for (; dim <= src_ss[0].axis; dim++) {
+                        base_ne_in[0] *= tensor->src[0]->ne[dim];
+                    }
+                    for (; dim <= GGML_MAX_DIMS; dim++) {
+                        base_ne_in.push_back(base_ne_in.back() * tensor->src[0]->ne[dim]);
+                    }
+                }
+                int64_t base_ne_out = 1;
+                for (int dim = 0; dim < GGML_MAX_DIMS; dim++) {
+                    const int64_t base_ne_out_next = base_ne_out *= tensor->ne[dim];
+                    for (const int64_t & bni : base_ne_in) {
+                        if (bni == base_ne_out_next) {
+                            return {ggml_backend_meta_split_axis(dim), {0}, 1};
+                        }
+                    }
+                    if (base_ne_out_next > base_ne_in[0]) {
+                        GGML_ASSERT(dim + 1 < GGML_MAX_DIMS);
+                        return {ggml_backend_meta_split_axis(dim + 1), {0}, 1};
+                    }
+                    base_ne_out = base_ne_out_next;
+                }
+                GGML_ABORT("shape mismatch for %s", ggml_op_name(tensor->op));
+            }
+            case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+                return src_ss[0];
+            }
+            default: {
+                GGML_ABORT("fatal error");
+                //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            }
+        }
+    };
+
+    auto handle_view = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (ggml_is_contiguous(tensor) && ggml_is_contiguous(tensor->src[0])) {
+            return handle_reshape(src_ss);
+        }
+        const int axis = src_ss[0].axis;
+        {
+            bool all_strides_the_same = true;
+            for (int dim = 0; dim < GGML_MAX_DIMS; dim++) {
+                if (tensor->ne[dim] == 1 && tensor->src[0]->ne[dim] == 1) {
+                    continue;
+                }
+                if (tensor->nb[dim] != tensor->src[0]->nb[dim]) {
+                    all_strides_the_same = false;
+                    break;
+                }
+            }
+            if (all_strides_the_same) {
+                return src_ss[0];
+            }
+        }
+        if (!ggml_is_permuted(tensor) && !ggml_is_permuted(tensor->src[0]) && axis >= 0 && axis < GGML_MAX_DIMS-1) {
+            for (int dim = 0; dim < GGML_MAX_DIMS-1; dim++) {
+                if (tensor->nb[dim+1] == tensor->src[0]->nb[axis+1]) {
+                    return {ggml_backend_meta_split_axis(dim), {0}, 1};
+                }
+            }
+            GGML_ABORT("fatal error");
+        }
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED || src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL) {
+            return src_ss[0];
+        }
+        GGML_ABORT("view of permuted tensor not implemented");
+        //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+    };
+
+    auto handle_permute = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        switch (src_ss[0].axis) {
+            case GGML_BACKEND_SPLIT_AXIS_0:
+            case GGML_BACKEND_SPLIT_AXIS_1:
+            case GGML_BACKEND_SPLIT_AXIS_2:
+            case GGML_BACKEND_SPLIT_AXIS_3: {
+                return {ggml_backend_meta_split_axis(tensor->op_params[src_ss[0].axis]), {0}, 1};
+            }
+            case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+                return src_ss[0];
+            }
+            default: {
+                GGML_ABORT("fatal error");
+                //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            }
+        }
+    };
+
+    auto handle_transpose = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        switch (src_ss[0].axis) {
+            case GGML_BACKEND_SPLIT_AXIS_0:
+            case GGML_BACKEND_SPLIT_AXIS_1: {
+                return {ggml_backend_meta_split_axis(int(src_ss[0].axis) ^ 1), {0}, 1};
+            }
+            case GGML_BACKEND_SPLIT_AXIS_2:
+            case GGML_BACKEND_SPLIT_AXIS_3:
+            case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+                return src_ss[0];
+            }
+            default: {
+                GGML_ABORT("fatal error");
+                //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            }
+        }
+    };
+
+    auto handle_get_rows = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_0 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return src_ss[0];
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ true);
+    };
+
+    auto handle_set_rows = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(src_ss[0].axis != GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        GGML_ASSERT(split_states_equal(src_ss[0], src_ss[2]));
+        return src_ss[0];
+    };
+
+    auto handle_rope = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        return src_ss[0];
+    };
+
+    auto handle_pad = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS) {
+            GGML_ASSERT(tensor->op_params[2*src_ss[0].axis + 0] == 0);
+            GGML_ASSERT(tensor->op_params[2*src_ss[0].axis + 1] == 0);
+        }
+        return src_ss[0];
+    };
+
+    auto handle_flash_attn_ext = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(                             src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        GGML_ASSERT(                             src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        GGML_ASSERT(                             src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        GGML_ASSERT(tensor->src[4] == nullptr || src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        GGML_ASSERT(tensor->src[4] == nullptr || src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_0);
+        return {GGML_BACKEND_SPLIT_AXIS_1, {0}, 1};
+    };
+
+    auto handle_ssm_conv = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == src_ss[1].axis) {
+            if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_0) {
+                return {GGML_BACKEND_SPLIT_AXIS_1, {0}, 1};
+            }
+            if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1) {
+                return {GGML_BACKEND_SPLIT_AXIS_0, {0}, 1};
+            }
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ false);
+    };
+
+    auto handle_gated_delta_net = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED &&
+            src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED &&
+            src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return src_ss[0];
+        }
+        GGML_ASSERT(src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        return {GGML_BACKEND_SPLIT_AXIS_0, {0}, 1};
+    };
+
+    auto calculate_split_state = [&]() -> ggml_backend_meta_split_state {
+        if (ggml_nelements(tensor) == 0) {
+            return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+        }
+        if (ggml_backend_buffer_get_usage(tensor->buffer) != GGML_BACKEND_BUFFER_USAGE_COMPUTE && tensor->view_src == nullptr) {
+            ggml_backend_dev_t dev = ggml_backend_buft_get_device(ggml_backend_buffer_get_type(tensor->buffer));
+            const ggml_backend_meta_device_context * dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+            ggml_backend_meta_split_state ret = dev_ctx->get_split_state(tensor, dev_ctx->get_split_state_ud);
+            if (ret.axis >= 0 && ret.axis <= GGML_MAX_DIMS) {
+                const int64_t granularity = ret.axis == GGML_BACKEND_SPLIT_AXIS_0 ? ggml_blck_size(tensor->type) : 1;
+                int64_t ne_sum = 0;
+                for (size_t sj = 0; sj < ret.n_segments*n_bufs; sj++) {
+                    GGML_ASSERT(ret.ne[sj] % granularity == 0);
+                    ne_sum += ret.ne[sj];
+                }
+                GGML_ASSERT(ne_sum == tensor->ne[ret.axis]);
+            }
+            return ret;
+        }
+
+        std::vector<ggml_backend_meta_split_state> src_ss(GGML_MAX_SRC, {GGML_BACKEND_SPLIT_AXIS_NONE, {0}, 1});
+        for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+            if (tensor->src[i] == nullptr || tensor->src[i] == tensor) {
+                src_ss[i] = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+                continue;
+            }
+            src_ss[i] = ggml_backend_meta_get_split_state(tensor->src[i], /*assume_sync =*/ true);
+            GGML_ASSERT(src_ss[i].axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWN);
+        }
+
+        ggml_backend_meta_split_state split_state;
+        switch (tensor->op) {
+            case GGML_OP_NONE: {
+                split_state = {GGML_BACKEND_SPLIT_AXIS_MIRRORED, {0}, 1};
+            } break;
+            case GGML_OP_DUP: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_ADD:
+            case GGML_OP_ADD_ID: {
+                split_state = handle_bin_bcast(src_ss);
+            } break;
+            case GGML_OP_ADD1:
+            case GGML_OP_ACC: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SUB:
+            case GGML_OP_MUL:
+            case GGML_OP_DIV: {
+                split_state = handle_bin_bcast(src_ss);
+            } break;
+            case GGML_OP_SQR:
+            case GGML_OP_SQRT:
+            case GGML_OP_LOG:
+            case GGML_OP_SIN:
+            case GGML_OP_COS: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_SUM: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SUM_ROWS:
+            case GGML_OP_CUMSUM:
+            case GGML_OP_MEAN:
+            case GGML_OP_ARGMAX:
+            case GGML_OP_COUNT_EQUAL: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_REPEAT:
+            case GGML_OP_REPEAT_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_CONCAT: {
+                split_state = handle_concat(src_ss);
+            } break;
+            case GGML_OP_SILU_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_NORM:
+            case GGML_OP_RMS_NORM:
+            case GGML_OP_RMS_NORM_BACK:
+            case GGML_OP_GROUP_NORM:
+            case GGML_OP_L2_NORM: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_MUL_MAT:
+            case GGML_OP_MUL_MAT_ID: {
+                split_state = handle_mul_mat(src_ss);
+            } break;
+            case GGML_OP_OUT_PROD: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SCALE: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_SET: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_CPY: {
+                split_state = handle_cpy(src_ss);
+            } break;
+            case GGML_OP_CONT:
+            case GGML_OP_RESHAPE: {
+                split_state = handle_reshape(src_ss);
+            } break;
+            case GGML_OP_VIEW: {
+                split_state = handle_view(src_ss);
+            } break;
+            case GGML_OP_PERMUTE: {
+                split_state = handle_permute(src_ss);
+            } break;
+            case GGML_OP_TRANSPOSE: {
+                split_state = handle_transpose(src_ss);
+            } break;
+            case GGML_OP_GET_ROWS: {
+                split_state = handle_get_rows(src_ss);
+            } break;
+            case GGML_OP_GET_ROWS_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SET_ROWS: {
+                split_state = handle_set_rows(src_ss);
+            } break;
+            case GGML_OP_DIAG:
+            case GGML_OP_DIAG_MASK_INF:
+            case GGML_OP_DIAG_MASK_ZERO: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SOFT_MAX:
+            case GGML_OP_SOFT_MAX_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_ROPE: {
+                split_state = handle_rope(src_ss);
+            } break;
+            case GGML_OP_ROPE_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_CLAMP: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_CONV_TRANSPOSE_1D:
+            case GGML_OP_IM2COL:
+            case GGML_OP_IM2COL_BACK:
+            case GGML_OP_IM2COL_3D:
+            case GGML_OP_CONV_2D:
+            case GGML_OP_CONV_3D:
+            case GGML_OP_CONV_2D_DW:
+            case GGML_OP_CONV_TRANSPOSE_2D:
+            case GGML_OP_POOL_1D:
+            case GGML_OP_POOL_2D:
+            case GGML_OP_POOL_2D_BACK:
+            case GGML_OP_UPSCALE: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_PAD: {
+                split_state = handle_pad(src_ss);
+            } break;
+            case GGML_OP_PAD_REFLECT_1D:
+            case GGML_OP_ROLL:
+            case GGML_OP_ARANGE:
+            case GGML_OP_TIMESTEP_EMBEDDING: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_ARGSORT:
+            case GGML_OP_TOP_K: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_LEAKY_RELU: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_TRI: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_FILL: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_FLASH_ATTN_EXT: {
+                split_state = handle_flash_attn_ext(src_ss);
+            } break;
+            case GGML_OP_FLASH_ATTN_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SSM_CONV: {
+                split_state = handle_ssm_conv(src_ss);
+            } break;
+            case GGML_OP_SSM_SCAN:
+            case GGML_OP_WIN_PART:
+            case GGML_OP_WIN_UNPART:
+            case GGML_OP_GET_REL_POS:
+            case GGML_OP_ADD_REL_POS:
+            case GGML_OP_RWKV_WKV6:
+            case GGML_OP_GATED_LINEAR_ATTN:
+            case GGML_OP_RWKV_WKV7:
+            case GGML_OP_SOLVE_TRI: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_GATED_DELTA_NET: {
+                split_state = handle_gated_delta_net(src_ss);
+            } break;
+            case GGML_OP_UNARY: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_MAP_CUSTOM1:
+            case GGML_OP_MAP_CUSTOM2:
+            case GGML_OP_MAP_CUSTOM3:
+            case GGML_OP_CUSTOM: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_CROSS_ENTROPY_LOSS:
+            case GGML_OP_CROSS_ENTROPY_LOSS_BACK: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_OPT_STEP_ADAMW:
+            case GGML_OP_OPT_STEP_SGD:
+            case GGML_OP_GLU: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            default: {
+                GGML_ABORT("ggml op not implemented: %s", ggml_op_name(tensor->op));
+                split_state = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            } break;
+        }
+        if (split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS) {
+            bool first_src_split_by_axis = true;
+            const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(tensor->buffer);
+
+            for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+                if (tensor->src[i] == nullptr || src_ss[i].axis < 0 || src_ss[i].axis >= GGML_MAX_DIMS) {
+                    continue;
+                }
+                if (first_src_split_by_axis) {
+                    for (size_t j = 0; j < n_bufs; j++) {
+                        // Take over ratio from src:
+                        for (size_t s = 0; s < src_ss[i].n_segments; s++) {
+                            split_state.ne[s*n_bufs + j] = 0;
+                        }
+                        for (size_t s = 0; s < src_ss[i].n_segments; s++) {
+                            split_state.ne[j] += src_ss[i].ne[s*n_bufs + j];
+                        }
+                        split_state.ne[j] *= tensor->ne[split_state.axis];
+                        if (split_state.ne[j] != 0 || tensor->src[i]->ne[src_ss[i].axis] != 0) {
+                            GGML_ASSERT(split_state.ne[j] % tensor->src[i]->ne[src_ss[i].axis] == 0);
+                            split_state.ne[j] /= tensor->src[i]->ne[src_ss[i].axis];
+                        }
+                    }
+                } else {
+                    for (size_t j = 0; j < n_bufs; j++) {
+                        int64_t sum = 0;
+                        for (size_t s = 0; s < src_ss[i].n_segments; s++) {
+                            sum += src_ss[i].ne[s*n_bufs + j];
+                        }
+                        // Assert that ratio is consistent:
+                        GGML_ASSERT(split_state.ne[j] * tensor->src[i]->ne[src_ss[i].axis]
+                                               == sum * tensor->ne[split_state.axis]);
+                    }
+                }
+                first_src_split_by_axis = false;
+            }
+            GGML_ASSERT(!first_src_split_by_axis);
+        }
+        return split_state;
+    };
+
+    const std::pair key = std::make_pair(tensor, assume_sync);
+    auto it = buf_ctx->split_state_cache.find(key);
+    if (it != buf_ctx->split_state_cache.end() && memcmp(it->second.second, (const char *) tensor, sizeof(it->second.second)) != 0) {
+        buf_ctx->split_state_cache.clear();
+        it = buf_ctx->split_state_cache.end();
+    }
+
+    if (it == buf_ctx->split_state_cache.end()) {
+        buf_ctx->split_state_cache[key].first = calculate_split_state();
+        memcpy(buf_ctx->split_state_cache[key].second, tensor, sizeof(buf_ctx->split_state_cache[key].second));
+        if (buf_ctx->debug > 0) {
+            std::string srcs_info;
+            for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+                if (tensor->src[i] == nullptr) {
+                    continue;
+                }
+                if (!srcs_info.empty()) {
+                    srcs_info += ", ";
+                }
+                const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor->src[0], true);
+                const char * axis_name = ggml_backend_meta_split_axis_name(split_state.axis);
+                std::string ne_info;
+                for (size_t j = 0; j < n_bufs; j++) {
+                    if (!ne_info.empty()) {
+                        ne_info += ", ";
+                    }
+                    ne_info += std::to_string(split_state.ne[j]);
+                }
+                srcs_info += std::string(tensor->src[i]->name) + "[" + ggml_op_name(tensor->src[i]->op) + ", " + axis_name + ", {" + ne_info + "}]";
+            }
+            std::string ne_info;
+            for (size_t j = 0; j < n_bufs; j++) {
+                if (!ne_info.empty()) {
+                    ne_info += ", ";
+                }
+                ne_info += std::to_string(buf_ctx->split_state_cache[key].first.ne[j]);
+            }
+            GGML_LOG_DEBUG("SPLIT_STATE: {%s} -> %s[%s, %s, {%s}]\n", srcs_info.c_str(), tensor->name, ggml_op_name(tensor->op),
+                ggml_backend_meta_split_axis_name(buf_ctx->split_state_cache[key].first.axis), ne_info.c_str());
+        }
+    }
+
+    ggml_backend_meta_split_state ret = buf_ctx->split_state_cache[key].first;
+    GGML_ASSERT(ret.axis != GGML_BACKEND_SPLIT_AXIS_NONE);
+#ifndef NDEBUG
+    if (ret.axis >= 0 && ret.axis < GGML_MAX_DIMS) {
+        int64_t ne_ret = 0;
+        for (size_t sj = 0; sj < ret.n_segments*n_bufs; sj++) {
+            ne_ret += ret.ne[sj];
+        }
+        assert(ne_ret == tensor->ne[int(ret.axis)]);
+    }
+#endif // NDEBUG
+    return ret;
+}
+
+static void * ggml_backend_meta_buffer_get_base(ggml_backend_buffer_t buffer) {
+    GGML_UNUSED(buffer);
+    return (void *) 0x1000000000000000; // FIXME
+}
+
+static enum ggml_status ggml_backend_meta_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(buffer));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) buffer->context;
+    const size_t n_simple_bufs = ggml_backend_meta_buffer_n_bufs(buffer);
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ true);
+    GGML_ASSERT(ggml_nelements(tensor) == 0 || split_state.axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWN);
+    GGML_ASSERT(split_state.n_segments <= 16);
+
+    int split_dim = split_state.axis;
+    int64_t ne[GGML_MAX_DIMS];
+    size_t  nb[GGML_MAX_DIMS];
+    for (size_t k = 0; k < GGML_MAX_DIMS; k++) {
+        ne[k] = tensor->ne[k];
+        nb[k] = tensor->nb[k];
+    }
+
+    std::vector<ggml_tensor *> simple_tensors;
+    simple_tensors.reserve(n_simple_bufs);
+    for (size_t j = 0; j < n_simple_bufs; j++) {
+        ggml_context          * simple_ctx = buf_ctx->buf_configs[j].ctx;
+        ggml_backend_buffer_t   simple_buf = buf_ctx->buf_configs[j].buf;
+
+        if (split_dim >= 0 && split_dim < GGML_MAX_DIMS) {
+            // TODO: the following assert fails for llama-parallel even though the results are correct:
+            // GGML_ASSERT(ggml_is_contiguously_allocated(tensor));
+            ne[split_dim] = 0;
+            for (size_t s = 0; s < split_state.n_segments; s++) {
+                ne[split_dim] += split_state.ne[s*n_simple_bufs + j];
+            }
+            for (int i = 0; i < GGML_MAX_DIMS; i++) {
+                if (tensor->nb[i] > tensor->nb[split_dim]) {
+                    nb[i] = tensor->nb[i] * ne[split_dim]/tensor->ne[split_dim];
+                }
+            }
+        }
+
+        ggml_tensor * t_ij = ggml_new_tensor(simple_ctx, tensor->type, GGML_MAX_DIMS, ne);
+        t_ij->op = tensor->op;
+        for (int i = 0; i < GGML_MAX_DIMS; i++) {
+            t_ij->nb[i] = nb[i];
+        }
+        t_ij->flags = tensor->flags;
+        memcpy(t_ij->op_params, tensor->op_params, sizeof(tensor->op_params));
+        ggml_set_name(t_ij, tensor->name);
+        t_ij->buffer = simple_buf;
+        t_ij->view_src = tensor->view_src;
+        t_ij->view_offs = tensor->view_offs;
+        if (t_ij->view_src != nullptr && ggml_backend_buffer_is_meta(t_ij->view_src->buffer)) {
+            t_ij->view_src = ggml_backend_meta_buffer_simple_tensor(tensor->view_src, j);
+            if (t_ij->view_offs > 0 && split_dim >= 0 && split_dim < GGML_MAX_DIMS) {
+                GGML_ASSERT(tensor->ne[split_dim] != 0);
+                const int split_dim_view_src = ggml_backend_meta_get_split_state(tensor->view_src, /*assume_sync =*/ true).axis;
+                GGML_ASSERT(split_dim_view_src >= 0 && split_dim_view_src < GGML_MAX_DIMS);
+
+                // The offset can be internal to the data split, in those cases the view offset should not be scaled.
+                // If however, the offset is larger than the data split then it needs to be scaled proportionally.
+                bool split_internal_offset = t_ij->view_offs <= tensor->view_src->nb[split_dim_view_src];
+                for (int i = 0; i < GGML_MAX_DIMS; i++) {
+                    const size_t dim_size = tensor->ne[i] * tensor->nb[i];
+                    if (tensor->view_offs <= dim_size && dim_size < tensor->nb[split_dim]) {
+                        split_internal_offset = true;
+                        break;
+                    }
+                }
+                if (!split_internal_offset) {
+                    t_ij->view_offs = t_ij->view_offs * ne[split_dim]/tensor->ne[split_dim];
+                }
+            }
+        }
+        if (t_ij->view_src != nullptr) {
+            t_ij->data = (char *) t_ij->view_src->data + t_ij->view_offs;
+        } else if (simple_buf != nullptr) {
+            t_ij->data = (char *) ggml_backend_buffer_get_base(simple_buf)
+                + size_t(tensor->data) - size_t(ggml_backend_buffer_get_base(buffer));
+        }
+        t_ij->extra = tensor->extra;
+        for (int i = 0; i < GGML_MAX_SRC; i++) {
+            t_ij->src[i] = tensor->src[i];
+            if (tensor->src[i] == tensor) {
+                t_ij->src[i] = t_ij;
+            } else if (t_ij->src[i] != nullptr && ggml_backend_buffer_is_meta(t_ij->src[i]->buffer)) {
+                t_ij->src[i] = ggml_backend_meta_buffer_simple_tensor(tensor->src[i], j);
+            }
+        }
+
+        simple_tensors.push_back(t_ij);
+    }
+
+    // If one of the sources has a zero-sized slice, disable the computation:
+    for (int i = 0; i < GGML_MAX_SRC; i++) {
+        if (tensor->src[i] == nullptr || !ggml_backend_buffer_is_meta(tensor->src[i]->buffer)) {
+            continue;
+        }
+
+        const ggml_backend_meta_split_state split_state_src = ggml_backend_meta_get_split_state(tensor->src[i], /*assume_sync =*/ true);
+        if (split_state_src.axis < 0 || split_state_src.axis >= GGML_MAX_DIMS) {
+            continue;
+        }
+        for (size_t j = 0; j < n_simple_bufs; j++) {
+            int64_t ne_sum = 0;
+            for (size_t s = 0; s < split_state_src.n_segments; s++) {
+                ne_sum += split_state_src.ne[s*n_simple_bufs + j];
+            }
+            if (ne_sum == 0) {
+                simple_tensors[j]->flags &= ~GGML_TENSOR_FLAG_COMPUTE;
+            }
+        }
+    }
+
+    buf_ctx->simple_tensors[tensor] = simple_tensors;
+
+    return GGML_STATUS_SUCCESS;
+}
+
+static void ggml_backend_meta_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
+    const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(buffer);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+
+    if (split_state.n_segments != 1) {
+        GGML_ASSERT(split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS);
+        GGML_ASSERT(offset == 0);
+        GGML_ASSERT(size == ggml_nbytes(tensor));
+        GGML_ASSERT(tensor->ne[3] == 1);
+        size_t offset_data = 0;
+        std::vector<size_t> simple_offsets(n_bufs, 0);
+        if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_0) {
+            GGML_ASSERT(tensor->ne[2] == 1);
+            const int64_t blck_size = ggml_blck_size(tensor->type);
+            for (size_t s = 0; s < split_state.n_segments; s++) {
+                for (size_t j = 0; j < n_bufs; j++) {
+                    ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                    GGML_ASSERT(split_state.ne[s*n_bufs + j] % blck_size == 0);
+                    const size_t nbytes = split_state.ne[s*n_bufs + j]/blck_size * tensor->nb[0];
+                    ggml_backend_tensor_set_2d(simple_tensor, (const char *) data + offset_data, simple_offsets[j], nbytes,
+                        tensor->ne[1], simple_tensor->nb[1], tensor->nb[1]);
+                    offset_data       += nbytes;
+                    simple_offsets[j] += nbytes;
+                }
+            }
+            GGML_ASSERT(offset_data*tensor->ne[1] == size);
+            return;
+        }
+        GGML_ASSERT(split_state.axis == GGML_BACKEND_SPLIT_AXIS_1);
+        for (size_t s = 0; s < split_state.n_segments; s++) {
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t nbytes = split_state.ne[s*n_bufs + j] * tensor->nb[1];
+                ggml_backend_tensor_set_2d(simple_tensor, (const char *) data + offset_data, simple_offsets[j], nbytes,
+                    tensor->ne[2], simple_tensor->nb[2], tensor->nb[2]);
+                offset_data       += nbytes;
+                simple_offsets[j] += nbytes;
+            }
+        }
+        GGML_ASSERT(offset_data*tensor->ne[2] == size);
+        return;
+    }
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                const size_t simple_offset = i_start * chunk_size_j;
+                ggml_backend_tensor_set_2d(simple_tensor, (const char *) data + offset_j, simple_offset, chunk_size_j, i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                ggml_backend_tensor_set(simple_tensor, data, offset, size);
+            }
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+            GGML_ASSERT(tensor->type == GGML_TYPE_F32);
+            const int64_t ne = ggml_nelements(tensor);
+            std::vector<float> tmp;
+            tmp.reserve(ne);
+            for (int64_t i = 0; i < ne; i++) {
+                tmp.push_back(((const float *) data)[i] / n_bufs);
+            }
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                ggml_backend_tensor_set(simple_tensor, tmp.data(), offset, size);
+            }
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(buffer);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+
+    if (split_state.n_segments != 1) {
+        GGML_ASSERT(split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS);
+        GGML_ASSERT(offset == 0);
+        GGML_ASSERT(size == ggml_nbytes(tensor));
+        GGML_ASSERT(tensor->ne[3] == 1);
+        size_t offset_data = 0;
+        std::vector<size_t> simple_offsets(n_bufs, 0);
+        if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_0) {
+            GGML_ASSERT(tensor->ne[2] == 1);
+            const int64_t blck_size = ggml_blck_size(tensor->type);
+            for (size_t s = 0; s < split_state.n_segments; s++) {
+                for (size_t j = 0; j < n_bufs; j++) {
+                    const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                    GGML_ASSERT(split_state.ne[s*n_bufs + j] % blck_size == 0);
+                    const size_t nbytes = split_state.ne[s*n_bufs + j]/blck_size * tensor->nb[0];
+                    ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_data, simple_offsets[j], nbytes,
+                        tensor->ne[1], simple_tensor->nb[1], tensor->nb[1]);
+                    offset_data       += nbytes;
+                    simple_offsets[j] += nbytes;
+                }
+            }
+            GGML_ASSERT(offset_data*tensor->ne[1] == size);
+            return;
+        }
+        GGML_ASSERT(split_state.axis == GGML_BACKEND_SPLIT_AXIS_1);
+        for (size_t s = 0; s < split_state.n_segments; s++) {
+            for (size_t j = 0; j < n_bufs; j++) {
+                const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t nbytes = split_state.ne[s*n_bufs + j] * tensor->nb[1];
+                ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_data, simple_offsets[j], nbytes,
+                    tensor->ne[2], simple_tensor->nb[2], tensor->nb[2]);
+                offset_data       += nbytes;
+                simple_offsets[j] += nbytes;
+            }
+        }
+        GGML_ASSERT(offset_data*tensor->ne[2] == size);
+        return;
+    }
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_bufs; j++){
+                const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                const size_t simple_offset = i_start * chunk_size_j;
+                ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_j, simple_offset, chunk_size_j, i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            // TODO other simple backend may be better
+            const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, 0);
+            ggml_backend_tensor_get(simple_tensor, data, offset, size);
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
+    const size_t n_buffers = ggml_backend_meta_buffer_n_bufs(buffer);
+    for (size_t i = 0; i < n_buffers; i++) {
+        ggml_backend_buffer_clear(ggml_backend_meta_buffer_simple_buffer(buffer, i), value);
+    }
+}
+
+static void ggml_backend_meta_buffer_reset(ggml_backend_buffer_t buffer) {
+    const size_t n_buffers = ggml_backend_meta_buffer_n_bufs(buffer);
+    for (size_t i = 0; i < n_buffers; i++) {
+        ggml_backend_buffer_reset(ggml_backend_meta_buffer_simple_buffer(buffer, i));
+    }
+}
+
+static const ggml_backend_buffer_i ggml_backend_meta_buffer_iface = {
+    /* .free_buffer     = */ ggml_backend_meta_buffer_free_buffer,
+    /* .get_base        = */ ggml_backend_meta_buffer_get_base,
+    /* .init_tensor     = */ ggml_backend_meta_buffer_init_tensor,
+    /* .memset_tensor   = */ nullptr, // TODO implement
+    /* .set_tensor      = */ ggml_backend_meta_buffer_set_tensor,
+    /* .get_tensor      = */ ggml_backend_meta_buffer_get_tensor,
+    /* .set_tensor_2d   = */ nullptr,
+    /* .get_tensor_2d   = */ nullptr,
+    /* .cpy_tensor      = */ nullptr,
+    /* .clear           = */ ggml_backend_meta_buffer_clear,
+    /* .reset           = */ ggml_backend_meta_buffer_reset,
+};
+
+bool ggml_backend_buffer_is_meta(ggml_backend_buffer_t buf) {
+    return buf != nullptr && buf->iface.free_buffer == ggml_backend_meta_buffer_iface.free_buffer;
+}
+
+static ggml_backend_buffer_t ggml_backend_meta_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+
+    ggml_init_params params = {
+        /*.mem_size   =*/ 1024*1024*1024, // FIXME
+        /*.mem_buffer =*/ nullptr,
+        /*.no_alloc   =*/ true,
+    };
+
+    ggml_backend_meta_buffer_context * buf_ctx = new ggml_backend_meta_buffer_context();
+    size_t max_size = 0;
+    buf_ctx->buf_configs.reserve(n_simple_bufts);
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        ggml_backend_buffer_t simple_buf = ggml_backend_buft_alloc_buffer(ggml_backend_meta_buft_simple_buft(buft, i), size);
+        max_size = std::max(max_size, ggml_backend_buffer_get_size(simple_buf));
+        buf_ctx->buf_configs.emplace_back(ggml_init(params), simple_buf);
+    }
+
+    return ggml_backend_buffer_init(buft, ggml_backend_meta_buffer_iface, buf_ctx, max_size);
+}
+
+struct ggml_backend_buffer * ggml_backend_meta_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+
+    ggml_init_params params = {
+        /*.mem_size   =*/ 1024*1024*1024, // FIXME
+        /*.mem_buffer =*/ nullptr,
+        /*.no_alloc   =*/ true,
+    };
+
+    ggml_backend_meta_buffer_context * meta_buf_ctx = new ggml_backend_meta_buffer_context();
+    meta_buf_ctx->buf_configs.reserve(n_simple_bufts);
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        meta_buf_ctx->buf_configs.emplace_back(ggml_init(params), nullptr);
+    }
+
+    ggml_backend_buffer_t meta_buf = ggml_backend_buffer_init(buft, ggml_backend_meta_buffer_iface, meta_buf_ctx, 0);
+    for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) {
+        t->buffer = meta_buf;
+        ggml_backend_meta_buffer_init_tensor(meta_buf, t);
+        t->data = (void *) 0x2000000000000000; // FIXME
+    }
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        meta_buf_ctx->buf_configs[i].buf = ggml_backend_alloc_ctx_tensors_from_buft(
+            meta_buf_ctx->buf_configs[i].ctx, ggml_backend_meta_buft_simple_buft(buft, i));
+        meta_buf->size = std::max(meta_buf->size, ggml_backend_buffer_get_size(meta_buf_ctx->buf_configs[i].buf));
+    }
+    return meta_buf;
+}
+
+//
+// meta backend
+//
+
+static ggml_guid_t ggml_backend_meta_guid() {
+    static ggml_guid guid = {0xf1, 0x0e, 0x34, 0xcf, 0x9c, 0x6f, 0x43, 0xcb, 0x96, 0x92, 0xbe, 0x8e, 0xbb, 0x71, 0x3f, 0xda};
+    return &guid;
+}
+
+struct ggml_backend_meta_context {
+    struct cgraph_config {
+        ggml_cgraph * cgraph_main = nullptr;
+        int           offset      = 0; // Node offset vs. original graph
+
+        std::vector<ggml_cgraph *> cgraphs_aux;
+    };
+    struct backend_config {
+        ggml_backend_t backend;
+
+        std::vector<cgraph_config>           cgraphs;
+        std::vector<ggml_tensor *>           nodes;
+        std::vector<ggml_backend_buffer_ptr> bufs;
+
+        backend_config(ggml_backend_t backend, const size_t n_reduce_steps) : backend(backend) {
+            bufs.resize(n_reduce_steps);
+        }
+    };
+    std::string                 name;
+    std::vector<backend_config> backend_configs;
+    ggml_context_ptr            ctx;
+    std::vector<ggml_cgraph *>  cgraphs_aux;
+    std::vector<ggml_tensor *>  nodes_aux;
+    size_t                      n_reduce_steps;
+    int                         max_nnodes    = 0;
+    size_t                      max_tmp_size  = 0;
+    size_t                      max_subgraphs = 0;
+    size_t                      n_subgraphs   = 0;
+    uint64_t                    uid           = 0;
+
+    void *                               comm_ctx       = nullptr;
+    ggml_backend_comm_allreduce_tensor_t comm_allreduce = nullptr;
+
+    ggml_backend_meta_context(ggml_backend_dev_t meta_dev, const char * params) {
+        const size_t n_devs = ggml_backend_meta_dev_n_devs(meta_dev);
+        n_reduce_steps = std::ceil(std::log2(n_devs));
+        name = "Meta(";
+        std::vector<ggml_backend_t> simple_backends;
+        backend_configs.reserve(n_devs);
+        simple_backends.reserve(n_devs);
+        for (size_t i = 0; i < n_devs; i++) {
+            ggml_backend_dev_t simple_dev = ggml_backend_meta_dev_simple_dev(meta_dev, i);
+            if (i > 0) {
+                name += ",";
+            }
+            name += ggml_backend_dev_name(simple_dev);
+            simple_backends.push_back(ggml_backend_dev_init(simple_dev, params));
+            backend_configs.emplace_back(simple_backends.back(), n_reduce_steps);
+        }
+        name += ")";
+
+        if (n_devs > 1) {
+            ggml_backend_comm_init_t comm_init = (ggml_backend_comm_init_t) ggml_backend_reg_get_proc_address(
+                ggml_backend_dev_backend_reg(ggml_backend_get_device(simple_backends[0])), "ggml_backend_comm_init");
+            if (comm_init != nullptr) {
+                comm_ctx = comm_init(simple_backends.data(), simple_backends.size());
+            }
+        }
+        if (comm_ctx != nullptr) {
+            comm_allreduce = (ggml_backend_comm_allreduce_tensor_t)
+                ggml_backend_reg_get_proc_address(ggml_backend_dev_backend_reg(
+                    ggml_backend_get_device(simple_backends[0])), "ggml_backend_comm_allreduce_tensor");
+            GGML_ASSERT(comm_allreduce != nullptr);
+        }
+    }
+
+    ~ggml_backend_meta_context() {
+        if (comm_ctx != nullptr) {
+            ggml_backend_comm_free_t comm_free = (ggml_backend_comm_free_t) ggml_backend_reg_get_proc_address(
+                ggml_backend_dev_backend_reg(ggml_backend_get_device(backend_configs[0].backend)), "ggml_backend_comm_free");
+            GGML_ASSERT(comm_free != nullptr);
+            comm_free(comm_ctx);
+        }
+        for (auto & bc : backend_configs) {
+            ggml_backend_free(bc.backend);
+        }
+    }
+};
+
+static const char * ggml_backend_meta_get_name(ggml_backend_t backend) {
+    GGML_ASSERT(ggml_backend_is_meta(backend));
+    const ggml_backend_meta_context * backend_ctx = (const ggml_backend_meta_context *) backend->context;
+    return backend_ctx->name.c_str();
+}
+
+static void ggml_backend_meta_free(ggml_backend_t backend) {
+    GGML_ASSERT(ggml_backend_is_meta(backend));
+    ggml_backend_meta_context * backend_ctx = (ggml_backend_meta_context *) backend->context;
+    delete backend_ctx;
+    delete backend;
+}
+
+static void ggml_backend_meta_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    GGML_ASSERT(offset == 0);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+    GGML_ASSERT(split_state.n_segments == 1);
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_backends; j++){
+                ggml_backend_t simple_backend = ggml_backend_meta_simple_backend(backend, j);
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                ggml_backend_tensor_set_2d_async(simple_backend, simple_tensor, (const char *) data + offset_j, offset, chunk_size_j,
+                    i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            for (size_t j = 0; j < n_backends; j++) {
+                ggml_backend_tensor_set_async(
+                    ggml_backend_meta_simple_backend(backend, j), ggml_backend_meta_buffer_simple_tensor(tensor, j), data, offset, size);
+            }
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    GGML_ASSERT(offset == 0);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+    GGML_ASSERT(split_state.n_segments == 1);
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_backends; j++){
+                ggml_backend_t simple_backend = ggml_backend_meta_simple_backend(backend, j);
+                const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                ggml_backend_tensor_get_2d_async(simple_backend, simple_tensor, (char *) data + offset_j, offset, chunk_size_j,
+                    i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            // TODO other simple backend may be better
+            ggml_backend_t simple_backend = ggml_backend_meta_simple_backend(backend, 0);
+            const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, 0);
+            ggml_backend_tensor_get_async(simple_backend, simple_tensor, data, offset, size);
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_synchronize(ggml_backend_t backend) {
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    for (size_t i = 0; i < n_backends; i++) {
+        ggml_backend_synchronize(ggml_backend_meta_simple_backend(backend, i));
+    }
+}
+
+static enum ggml_status ggml_backend_meta_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
+    GGML_ASSERT(cgraph->grads == nullptr);
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    ggml_backend_meta_context * backend_ctx = (ggml_backend_meta_context *) backend->context;
+
+    // If the previous cgraph had a defined UID it can be used to skip rebuilding the subgraphs per simple backend.
+    const bool needs_rebuild = (cgraph->uid == 0) || (cgraph->uid != backend_ctx->uid);
+
+    bool max_nnodes_raised = false;
+    if (cgraph->n_nodes > backend_ctx->max_nnodes) {
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            bcj.nodes.resize(cgraph->n_nodes);
+            bcj.cgraphs.resize(cgraph->n_nodes);
+        }
+        backend_ctx->max_nnodes = cgraph->n_nodes;
+        max_nnodes_raised = true;
+        assert(needs_rebuild);
+    }
+
+    if (needs_rebuild) {
+        size_t n_subgraphs  = 0;
+        size_t max_tmp_size = 0;
+
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+
+            for (int i = 0; i < cgraph->n_nodes; i++) {
+                ggml_tensor * node = cgraph->nodes[i];
+                if (node->view_src != nullptr && node->view_src->op == GGML_OP_NONE && ggml_backend_buffer_is_host(node->view_src->buffer)) {
+                    // FIXME s_copy_main is on the CPU and its view seems to be incorrectly added to the graph nodes.
+                    // For regular usage this doesn't matter since it's a noop but trying to call ggml_backend_meta_buffer_simple_tensor results in a crash.
+                    bcj.nodes[i] = node;
+                    continue;
+                }
+                bcj.nodes[i] = ggml_backend_meta_buffer_simple_tensor(node, j);
+                GGML_ASSERT(bcj.nodes[i]);
+            }
+        }
+
+        {
+            // For MoE models it may make sense to delay the AllReduce in order to reduce I/O:
+            auto get_i_delayed = [&](const int i) -> int {
+                int id = i; // i_delayed
+                int idr = i; // i_delayed return, last safe return value
+
+                ggml_tensor * node = cgraph->nodes[id];
+                int32_t n_used = ggml_node_get_use_count(cgraph, id);
+
+                // Skip MIRRORED nodes that don't consume node
+                auto skip_unrelated = [&]() {
+                    while (id + 1 < cgraph->n_nodes) {
+                        ggml_tensor * next = cgraph->nodes[id+1];
+                        if (ggml_backend_meta_get_split_state(next, false).axis != GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                            break;
+                        }
+                        bool safe = true;
+                        for (int s = 0; s < GGML_MAX_SRC; s++) {
+                            if (next->src[s] == nullptr) {
+                                continue;
+                            }
+                            if (next->src[s] == node) {
+                                safe = false;
+                                break;
+                            }
+                            if (ggml_backend_meta_get_split_state(next->src[s], false).axis != GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                                safe = false;
+                                break;
+                            }
+                        }
+                        if (!safe) {
+                            break;
+                        }
+                        id++;
+                    }
+                };
+
+                skip_unrelated();
+                if (id + 1 >= cgraph->n_nodes) {
+                    return idr;
+                }
+                {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op == GGML_OP_ADD_ID && next->src[0] == node &&
+                            ggml_backend_meta_get_split_state(next->src[1], false).axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL &&
+                            ggml_backend_meta_get_split_state(next->src[2], false).axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                        node = next;
+                        id++;
+                        idr = id;
+                        n_used = ggml_node_get_use_count(cgraph, id);
+                    }
+                }
+                // Chain of MULs with MIRRORED src[1]
+                while (true) {
+                    skip_unrelated();
+                    if (id + 1 >= cgraph->n_nodes) {
+                        return idr;
+                    }
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op == GGML_OP_MUL && next->src[0] == node &&
+                            ggml_backend_meta_get_split_state(next->src[1], false).axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                        node = next;
+                        id++;
+                        idr = id;
+                        n_used = ggml_node_get_use_count(cgraph, id);
+                    } else {
+                        break;
+                    }
+                }
+
+                if (n_used != node->ne[1] || id + 2*n_used-1 >= cgraph->n_nodes) {
+                    return idr;
+                }
+                for (int32_t k = 0; k < n_used; k++) {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op != GGML_OP_VIEW || next->view_src != node || next->view_offs != k*node->nb[1] ||
+                            next->ne[0] != node->ne[0] || next->ne[1] != node->ne[2] || next->nb[1] != node->nb[2] ||
+                            ggml_node_get_use_count(cgraph, id+1) != 1) {
+                        return idr;
+                    }
+                    id++;
+                }
+                {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op != GGML_OP_ADD || next->src[0] != cgraph->nodes[id - (n_used-1)] ||
+                            next->src[1] != cgraph->nodes[id - (n_used-2)] || ggml_node_get_use_count(cgraph, id+1) != 1) {
+                        return idr;
+                    }
+                    id++;
+                }
+                for (int32_t k = 0; k < n_used - 2; k++) {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op != GGML_OP_ADD || next->src[0] != cgraph->nodes[id] ||
+                            next->src[1] != cgraph->nodes[id - (n_used-2)] || ggml_node_get_use_count(cgraph, id+1) != 1) {
+                        return idr;
+                    }
+                    id++;
+                }
+                idr = id;
+                return idr;
+            };
+
+            int i_start = 0;
+            for (int i = 0; i < cgraph->n_nodes; i++) {
+                ggml_tensor * node = cgraph->nodes[i];
+                if (node->view_src != nullptr && node->view_src->op == GGML_OP_NONE && ggml_backend_buffer_is_host(node->view_src->buffer)) {
+                    continue;
+                }
+                const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(node, /*assume_sync =*/ false);
+                if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL) {
+                    max_tmp_size = std::max(max_tmp_size, ggml_nbytes(node));
+                }
+                const bool new_subgraph = i + 1 == cgraph->n_nodes || split_state.axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL;
+                if (!new_subgraph) {
+                    continue;
+                }
+
+                i = get_i_delayed(i);
+
+                for (size_t j = 0; j < n_backends; j++) {
+                    auto & bcj = backend_ctx->backend_configs[j];
+                    bcj.cgraphs[n_subgraphs].offset = i_start;
+                }
+                n_subgraphs++;
+                i_start = i + 1;
+            }
+            GGML_ASSERT(i_start == cgraph->n_nodes);
+        }
+
+        backend_ctx->uid         = cgraph->uid;
+        backend_ctx->n_subgraphs = n_subgraphs;
+
+        if (max_tmp_size > backend_ctx->max_tmp_size) {
+            for (size_t j = 0; j < n_backends; j++) {
+                auto & bcj = backend_ctx->backend_configs[j];
+                for (size_t i = 0; i < backend_ctx->n_reduce_steps; i++) {
+                    bcj.bufs[i].reset(ggml_backend_alloc_buffer(bcj.backend, max_tmp_size));
+                }
+            }
+            backend_ctx->max_tmp_size = max_tmp_size;
+        }
+
+        if (max_nnodes_raised || n_subgraphs > backend_ctx->max_subgraphs) {
+            backend_ctx->max_subgraphs = std::max(backend_ctx->max_subgraphs, n_subgraphs);
+            const size_t n_nodes_per_device = 3 * backend_ctx->n_reduce_steps; // tmp + ADD (+zeroing) graph per step and device
+            const size_t n_cgraphs_per_device = 2 * backend_ctx->n_reduce_steps; // ADD ( + zeroing) graph per step and device
+            const size_t mem_per_device_graphs_main = backend_ctx->max_subgraphs*ggml_graph_overhead_custom(backend_ctx->max_nnodes, cgraph->grads);
+            const size_t mem_per_device_graphs_aux = n_cgraphs_per_device*backend_ctx->max_subgraphs*ggml_graph_overhead_custom(1, cgraph->grads);
+            const size_t mem_per_device_nodes_aux = n_nodes_per_device*backend_ctx->max_subgraphs*ggml_tensor_overhead();
+            ggml_init_params params = {
+                /*.mem_size   =*/ n_backends * (mem_per_device_graphs_main + mem_per_device_graphs_aux + mem_per_device_nodes_aux),
+                /*.mem_buffer =*/ nullptr,
+                /*.no_alloc   =*/ true,
+            };
+            backend_ctx->ctx.reset(ggml_init(params));
+            for (size_t j = 0; j < n_backends; j++) {
+                auto & bcj = backend_ctx->backend_configs[j];
+                for (size_t i = 0; i < n_subgraphs; i++) {
+                    bcj.cgraphs[i].cgraph_main = ggml_new_graph_custom(backend_ctx->ctx.get(), cgraph->n_nodes, /*grads =*/ false);
+                }
+            }
+            backend_ctx->cgraphs_aux.resize(n_backends*n_cgraphs_per_device*backend_ctx->max_subgraphs);
+            for (size_t k = 0; k < backend_ctx->cgraphs_aux.size(); k++) {
+                backend_ctx->cgraphs_aux[k] = ggml_new_graph_custom(backend_ctx->ctx.get(), 1, cgraph->grads);
+            }
+            backend_ctx->nodes_aux.resize(n_backends*n_nodes_per_device*backend_ctx->max_subgraphs);
+            for (size_t k = 0; k < backend_ctx->nodes_aux.size(); k++) {
+                backend_ctx->nodes_aux[k] = ggml_new_tensor_1d(backend_ctx->ctx.get(), GGML_TYPE_F32, 1);
+            }
+        }
+
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            for (size_t i_graph = 0; i_graph < n_subgraphs; i_graph++) {
+                ggml_cgraph * cgraph_ij = bcj.cgraphs[i_graph].cgraph_main;
+                const size_t i_node_start = bcj.cgraphs[i_graph].offset;
+                const size_t i_node_stop = i_graph + 1 < n_subgraphs ? bcj.cgraphs[i_graph + 1].offset : cgraph->n_nodes;
+                cgraph_ij->n_nodes = i_node_stop - i_node_start;
+                ggml_hash_set_reset(&cgraph_ij->visited_hash_set);
+                for (size_t i_node = i_node_start; i_node < i_node_stop; i_node++) {
+                    ggml_tensor * node_ij = bcj.nodes[i_node];
+                    cgraph_ij->nodes[i_node - i_node_start] = node_ij;
+                    const size_t hash_pos_orig = ggml_hash_find(&cgraph->visited_hash_set, cgraph->nodes[i_node]);
+                    const size_t hash_pos_ij = ggml_hash_insert(&cgraph_ij->visited_hash_set, node_ij);
+                    cgraph_ij->use_counts[hash_pos_ij] = cgraph->use_counts[hash_pos_orig];
+                }
+                cgraph_ij->uid = ggml_graph_next_uid();
+            }
+        }
+    }
+
+    size_t iga = 0; // i graph aux
+    size_t ina = 0; // i node aux
+
+    auto get_node_aux = [&](ggml_tensor * t) -> ggml_tensor * {
+        ggml_tensor * ret = backend_ctx->nodes_aux[ina++];
+        memset(ret, 0, sizeof(ggml_tensor));
+        ret->op   = GGML_OP_NONE;
+        ret->type = t->type;
+        for (size_t k = 0; k < GGML_MAX_DIMS; k++) {
+            ret->ne[k] = t->ne[k];
+            ret->nb[k] = t->nb[k];
+        }
+        return ret;
+    };
+    auto set_tmp_data = [&](ggml_tensor * tensor, const size_t j, const size_t i_buf) {
+        auto & bcj = backend_ctx->backend_configs[j];
+        ggml_backend_buffer_ptr & buf_ptr = bcj.bufs[i_buf];
+        if (!buf_ptr || ggml_backend_buffer_get_size(buf_ptr.get()) < backend_ctx->max_tmp_size) {
+            buf_ptr.reset(ggml_backend_alloc_buffer(bcj.backend, backend_ctx->max_tmp_size));
+        }
+        tensor->buffer = buf_ptr.get();
+        tensor->data   = ggml_backend_buffer_get_base(buf_ptr.get());
+    };
+    // FIXME usage_counts
+    auto get_cgraph_aux = [&]() -> ggml_cgraph * {
+        ggml_cgraph * ret = backend_ctx->cgraphs_aux[iga++];
+        return ret;
+    };
+
+    // Preferentially use backend-specific allreduce_tensor_async (e.g. NCCL for CUDA), use a generic fallback if unavailable:
+    auto allreduce_fallback = [&](size_t i) -> ggml_status {
+        std::vector<ggml_cgraph *> step_cgraphs(n_backends, nullptr);
+
+        // Zero out nodes that were disabled due to having a zero-sized slice:
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            ggml_tensor * node = bcj.cgraphs[i].cgraph_main->nodes[bcj.cgraphs[i].cgraph_main->n_nodes - 1];
+            if (node->flags & GGML_TENSOR_FLAG_COMPUTE) {
+                continue;
+            }
+            ggml_tensor * node_zero = get_node_aux(node);
+            node_zero->op = GGML_OP_SCALE; // FIXME 0.0f * NaN == NaN
+            node_zero->src[0] = node;
+            ggml_set_op_params_f32(node_zero, 0, 0.0f);
+            node_zero->data = node->data;
+            node_zero->flags |= GGML_TENSOR_FLAG_COMPUTE;
+
+            step_cgraphs[j] = get_cgraph_aux();
+            step_cgraphs[j]->nodes[0] = node_zero;
+            step_cgraphs[j]->n_nodes = 1;
+            const ggml_status status = ggml_backend_graph_compute_async(bcj.backend, step_cgraphs[j]);
+            if (status != GGML_STATUS_SUCCESS) {
+                return status;
+            }
+        }
+        std::fill(step_cgraphs.begin(), step_cgraphs.end(), nullptr);
+
+        auto push_data = [&](const size_t j_src, const size_t j_dst, const size_t i_buf) {
+            assert(step_cgraphs[j_dst] == nullptr);
+            auto & bcj_src = backend_ctx->backend_configs[j_src];
+            auto & bcj_dst = backend_ctx->backend_configs[j_dst];
+
+            ggml_tensor * node_src = bcj_src.cgraphs[i].cgraph_main->nodes[bcj_src.cgraphs[i].cgraph_main->n_nodes - 1];
+            ggml_tensor * node_dst = bcj_dst.cgraphs[i].cgraph_main->nodes[bcj_dst.cgraphs[i].cgraph_main->n_nodes - 1];
+            GGML_ASSERT(ggml_is_contiguous(node_src));
+            GGML_ASSERT(ggml_is_contiguous(node_dst));
+
+            ggml_tensor * node_tmp = get_node_aux(node_dst);
+            set_tmp_data(node_tmp, j_dst, i_buf);
+
+            ggml_backend_tensor_copy_async(bcj_src.backend, bcj_dst.backend, node_src, node_tmp);
+
+            ggml_tensor * node_red = get_node_aux(node_dst);
+            node_red->view_src = node_dst->view_src == nullptr ? node_dst : node_dst->view_src;
+            node_red->view_offs = node_dst->view_offs;
+            node_red->op = GGML_OP_ADD;
+            node_red->src[0] = node_dst;
+            node_red->src[1] = node_tmp;
+            node_red->flags |= GGML_TENSOR_FLAG_COMPUTE;
+            ggml_backend_view_init(node_red);
+
+            ggml_cgraph * cgraph_aux = get_cgraph_aux();
+            cgraph_aux->nodes[0] = node_red;
+            cgraph_aux->n_nodes = 1;
+            step_cgraphs[j_dst] = cgraph_aux;
+        };
+
+        size_t offset_j = n_backends/2;
+        while ((offset_j & (offset_j - 1)) != 0) {
+            offset_j--;
+        }
+        const size_t offset_j_max = offset_j;
+        size_t i_buf = 0;
+
+        // If n_backends is not a power of 2, fold in the excess prior to butterfly reduction:
+        for (size_t j_src = 2*offset_j_max; j_src < n_backends; j_src++) {
+            const size_t j_dst = j_src - 2*offset_j_max;
+            push_data(j_src, j_dst, i_buf);
+            const ggml_status status = ggml_backend_graph_compute_async(backend_ctx->backend_configs[j_dst].backend, step_cgraphs[j_dst]);
+            if (status != GGML_STATUS_SUCCESS) {
+                return status;
+            }
+            i_buf = 1;
+        }
+
+        // Butterfly reduction:
+        for (; offset_j >= 1; offset_j /= 2) {
+            std::fill(step_cgraphs.begin(), step_cgraphs.end(), nullptr);
+
+            for (size_t j = 0; j < 2*offset_j_max; j++) {
+                const size_t j_other = j ^ offset_j;
+                if (j_other >= n_backends) {
+                    continue;
+                }
+                push_data(j, j_other, i_buf);
+            }
+
+            for (size_t j = 0; j < 2*offset_j_max; j++) {
+                if (step_cgraphs[j] == nullptr) {
+                    continue;
+                }
+                auto & bcj = backend_ctx->backend_configs[j];
+                const ggml_status status = ggml_backend_graph_compute_async(bcj.backend, step_cgraphs[j]);
+                if (status != GGML_STATUS_SUCCESS) {
+                    return status;
+                }
+            }
+            i_buf++;
+        }
+        assert(i_buf == backend_ctx->n_reduce_steps);
+
+        // If n_backends is not a power of 2, copy back the reduced tensors to the excess:
+        for (size_t j = 2*offset_j_max; j < n_backends; j++) {
+            auto & bcj_src = backend_ctx->backend_configs[j - 2*offset_j_max];
+            auto & bcj_dst = backend_ctx->backend_configs[j];
+
+            ggml_tensor * node_src = bcj_src.cgraphs[i].cgraph_main->nodes[bcj_src.cgraphs[i].cgraph_main->n_nodes - 1];
+            ggml_tensor * node_dst = bcj_dst.cgraphs[i].cgraph_main->nodes[bcj_dst.cgraphs[i].cgraph_main->n_nodes - 1];
+            ggml_backend_tensor_copy_async(bcj_src.backend, bcj_dst.backend, node_src, node_dst);
+        }
+
+        return GGML_STATUS_SUCCESS;
+    };
+
+
+    for (size_t i = 0; i < backend_ctx->n_subgraphs; i++) {
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            const ggml_status status = ggml_backend_graph_compute_async(bcj.backend, bcj.cgraphs[i].cgraph_main);
+            if (status != GGML_STATUS_SUCCESS) {
+                return status;
+            }
+        }
+
+        if (n_backends > 1 && i < backend_ctx->n_subgraphs - 1) {
+            bool backend_allreduce_success = false;
+            if (backend_ctx->comm_ctx) {
+                std::vector<ggml_tensor *> nodes;
+                nodes.reserve(n_backends);
+                for (size_t j = 0; j < n_backends; j++) {
+                    auto & bcj = backend_ctx->backend_configs[j];
+                    ggml_cgraph * cgraph_ij = bcj.cgraphs[i].cgraph_main;
+                    nodes.push_back(cgraph_ij->nodes[cgraph_ij->n_nodes-1]);
+                }
+                backend_allreduce_success = backend_ctx->comm_allreduce(backend_ctx->comm_ctx, nodes.data());
+            }
+
+            if (!backend_allreduce_success) {
+                const ggml_status status = allreduce_fallback(i);
+                if (status != GGML_STATUS_SUCCESS) {
+                    return status;
+                }
+            }
+        }
+    }
+    return GGML_STATUS_SUCCESS;
+}
+
+static const ggml_backend_i ggml_backend_meta_i = {
+    /* .get_name                = */ ggml_backend_meta_get_name,
+    /* .free                    = */ ggml_backend_meta_free,
+    /* .set_tensor_async        = */ ggml_backend_meta_set_tensor_async,
+    /* .get_tensor_async        = */ ggml_backend_meta_get_tensor_async,
+    /* .get_tensor_2d_async     = */ nullptr,
+    /* .set_tensor_2d_async     = */ nullptr,
+    /* .cpy_tensor_async        = */ nullptr,
+    /* .synchronize             = */ ggml_backend_meta_synchronize,
+    /* .graph_plan_create       = */ nullptr,
+    /* .graph_plan_free         = */ nullptr,
+    /* .graph_plan_update       = */ nullptr,
+    /* .graph_plan_compute      = */ nullptr,
+    /* .graph_compute           = */ ggml_backend_meta_graph_compute,
+    /* .event_record            = */ nullptr,
+    /* .event_wait              = */ nullptr,
+    /* .graph_optimize          = */ nullptr,
+};
+
+bool ggml_backend_is_meta(ggml_backend_t backend) {
+    return backend != nullptr && backend->iface.get_name == ggml_backend_meta_i.get_name;
+}
+
+static ggml_backend_t ggml_backend_meta_device_init_backend(ggml_backend_dev_t dev, const char * params) {
+    ggml_backend_meta_context * backend_ctx = new ggml_backend_meta_context(dev, params);
+
+    ggml_backend_t backend = new struct ggml_backend;
+    backend->guid    = ggml_backend_meta_guid();
+    backend->iface   = ggml_backend_meta_i;
+    backend->device  = dev;
+    backend->context = backend_ctx;
+    return backend;
+}
+
+size_t ggml_backend_meta_n_backends(ggml_backend_t meta_backend) {
+    GGML_ASSERT(ggml_backend_is_meta(meta_backend));
+    const ggml_backend_meta_context * backend_ctx = (const ggml_backend_meta_context *) meta_backend->context;
+    return backend_ctx->backend_configs.size();
+}
+
+ggml_backend_t ggml_backend_meta_simple_backend(ggml_backend_t meta_backend, size_t index) {
+    GGML_ASSERT(ggml_backend_is_meta(meta_backend));
+    const ggml_backend_meta_context * backend_ctx = (const ggml_backend_meta_context *) meta_backend->context;
+    return backend_ctx->backend_configs[index].backend;
+}
+
diff --git a/ggml/src/ggml-backend.cpp b/ggml/src/ggml-backend.cpp
index 22c656996ccdbca8e7b70e5f74e585db67719a92..d9f8aaec52fdb2ee9e801da01f3af24056d36d09 100644
--- a/ggml/src/ggml-backend.cpp
+++ b/ggml/src/ggml-backend.cpp
@@ -123,7 +123,7 @@ size_t ggml_backend_buffer_get_size(ggml_backend_buffer_t buffer) {
 void * ggml_backend_buffer_get_base(ggml_backend_buffer_t buffer) {
     GGML_ASSERT(buffer);
     // get_base is optional if the buffer is zero-sized
-    if (buffer->size == 0) {
+    if (!ggml_backend_buffer_is_meta(buffer) && buffer->size == 0) {
         return NULL;
     }
 
@@ -279,15 +279,57 @@ void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_ten
     }
 }
 
+void ggml_backend_tensor_set_2d_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(backend);
+    GGML_ASSERT(tensor);
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+
+    if (n_copies <= 1 || backend->iface.set_tensor_2d_async == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_set_async(backend, tensor, (const char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
+    backend->iface.set_tensor_2d_async(backend, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
+void ggml_backend_tensor_get_2d_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(backend);
+    GGML_ASSERT(tensor);
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+
+    if (n_copies <= 1 || backend->iface.set_tensor_2d_async == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_get_async(backend, tensor, (char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
+    backend->iface.get_tensor_2d_async(backend, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
 void ggml_backend_tensor_set(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
     GGML_ASSERT(tensor);
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
 
     if (size == 0) {
         return;
     }
 
-    GGML_ASSERT(buf != NULL && "tensor buffer not set");
     GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
     GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
 
@@ -297,18 +339,62 @@ void ggml_backend_tensor_set(struct ggml_tensor * tensor, const void * data, siz
 void ggml_backend_tensor_get(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) {
     GGML_ASSERT(tensor);
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
 
     if (size == 0) {
         return;
     }
 
-    GGML_ASSERT(buf != NULL && "tensor buffer not set");
     GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
     GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds");
 
     buf->iface.get_tensor(buf, tensor, data, offset, size);
 }
 
+void ggml_backend_tensor_set_2d(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(tensor);
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
+
+    if (n_copies <= 1 || buf->iface.set_tensor_2d == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_set(tensor, (const char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
+
+    buf->iface.set_tensor_2d(buf, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
+void ggml_backend_tensor_get_2d(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(tensor);
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
+
+    if (n_copies <= 1 || buf->iface.set_tensor_2d == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_get(tensor, (char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor read out of bounds");
+
+    buf->iface.get_tensor_2d(buf, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
 void ggml_backend_tensor_memset(struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
     GGML_ASSERT(tensor);
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
@@ -388,7 +474,7 @@ ggml_backend_dev_t ggml_backend_get_device(ggml_backend_t backend) {
 
 // backend copy
 
-void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst) {
+void ggml_backend_tensor_copy(const struct ggml_tensor * src, struct ggml_tensor * dst) {
     GGML_ASSERT(ggml_are_same_layout(src, dst) && "cannot copy tensors with different layouts");
 
     if (src == dst) {
@@ -402,7 +488,7 @@ void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst
     } else if (!ggml_backend_buffer_copy_tensor(src, dst)) {
 #ifndef NDEBUG
         GGML_LOG_DEBUG("%s: warning: slow copy from %s to %s\n", __func__, ggml_backend_buffer_name(src->buffer), ggml_backend_buffer_name(dst->buffer));
-#endif
+#endif // NDEBUG
         size_t nbytes = ggml_nbytes(src);
         void * data = malloc(nbytes);
         ggml_backend_tensor_get(src, data, 0, nbytes);
@@ -411,7 +497,7 @@ void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst
     }
 }
 
-void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, struct ggml_tensor * src, struct ggml_tensor * dst) {
+void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst) {
     GGML_ASSERT(ggml_are_same_layout(src, dst) && "cannot copy tensors with different layouts");
 
     if (src == dst) {
@@ -500,6 +586,7 @@ enum ggml_backend_dev_type ggml_backend_dev_type(ggml_backend_dev_t device) {
 }
 
 void ggml_backend_dev_get_props(ggml_backend_dev_t device, struct ggml_backend_dev_props * props) {
+    GGML_ASSERT(device);
     memset(props, 0, sizeof(*props));
     device->iface.get_props(device, props);
 }
@@ -610,6 +697,8 @@ static const struct ggml_backend_buffer_i ggml_backend_multi_buffer_i = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ NULL,
     /* .get_tensor      = */ NULL,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_multi_buffer_clear,
     /* .reset           = */ NULL,
@@ -941,6 +1030,8 @@ void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgra
         GGML_ABORT("%s: failed to initialize context\n", __func__);
     }
 
+    graph->uid = ggml_graph_next_uid();
+
     // pass 1: assign backends to ops with pre-allocated inputs
     for (int i = 0; i < graph->n_leafs; i++) {
         struct ggml_tensor * leaf = graph->leafs[i];
@@ -1388,6 +1479,11 @@ void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgra
         assert(graph_copy->size > graph_copy->n_leafs);
         graph_copy->leafs[graph_copy->n_leafs++] = leaf;
     }
+
+    // set ids for all splits
+    for (int i = 0; i < sched->n_splits; ++i) {
+        sched->splits[i].graph.uid = ggml_graph_next_uid();
+    }
 }
 
 static bool ggml_backend_sched_alloc_splits(ggml_backend_sched_t sched) {
@@ -1899,8 +1995,9 @@ enum ggml_status ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct
     GGML_ASSERT(tensor->data == NULL);
     GGML_ASSERT(tensor->view_src == NULL);
     GGML_ASSERT(addr >= ggml_backend_buffer_get_base(buffer));
-    GGML_ASSERT((char *)addr + ggml_backend_buffer_get_alloc_size(buffer, tensor) <=
-                (char *)ggml_backend_buffer_get_base(buffer) + ggml_backend_buffer_get_size(buffer));
+    GGML_ASSERT(ggml_backend_buffer_is_meta(buffer) ||
+        (char *) addr + ggml_backend_buffer_get_alloc_size(buffer, tensor) <=
+        (char *) ggml_backend_buffer_get_base(buffer) + ggml_backend_buffer_get_size(buffer));
 
     tensor->buffer = buffer;
     tensor->data = addr;
@@ -2174,6 +2271,8 @@ static const struct ggml_backend_buffer_i ggml_backend_cpu_buffer_i = {
     /* .memset_tensor   = */ ggml_backend_cpu_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cpu_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cpu_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_cpu_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cpu_buffer_clear,
     /* .reset           = */ NULL,
@@ -2186,6 +2285,8 @@ static const struct ggml_backend_buffer_i ggml_backend_cpu_buffer_from_ptr_i = {
     /* .memset_tensor   = */ ggml_backend_cpu_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cpu_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cpu_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_cpu_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cpu_buffer_clear,
     /* .reset           = */ NULL,
diff --git a/ggml/src/ggml-blas/ggml-blas.cpp b/ggml/src/ggml-blas/ggml-blas.cpp
index e7a1763b54d1a586c0f39c9025c632dae8f94e3d..05245b69807a000068082c0514e905891f87cea5 100644
--- a/ggml/src/ggml-blas/ggml-blas.cpp
+++ b/ggml/src/ggml-blas/ggml-blas.cpp
@@ -262,6 +262,8 @@ static struct ggml_backend_i blas_backend_i = {
     /* .get_name                = */ ggml_backend_blas_get_name,
     /* .free                    = */ ggml_backend_blas_free,
     /* .set_tensor_async        = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .get_tensor_async        = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
diff --git a/ggml/src/ggml-cann/aclnn_ops.cpp b/ggml/src/ggml-cann/aclnn_ops.cpp
index 4b7aab1e72d50097f50052168038beb6b7181ccc..a950475fc3b04dbdbf126201f1926806a2800a5f 100644
--- a/ggml/src/ggml-cann/aclnn_ops.cpp
+++ b/ggml/src/ggml-cann/aclnn_ops.cpp
@@ -434,6 +434,9 @@ void ggml_cann_norm(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
 void ggml_cann_l2_norm(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_tensor * src = dst->src[0];
 
+    float eps;
+    memcpy(&eps, dst->op_params, sizeof(float));
+
     acl_tensor_ptr acl_src = ggml_cann_create_tensor(src);
     acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
 
@@ -456,6 +459,13 @@ void ggml_cann_l2_norm(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     float          p_value  = 2.0f;
     acl_scalar_ptr p_scalar = ggml_cann_create_scalar(&p_value, aclDataType::ACL_FLOAT);
     GGML_CANN_CALL_ACLNN_OP(ctx, Norm, acl_src.get(), p_scalar.get(), dims_array.get(), true, acl_div.get());
+
+    // Clamp norm to at least eps: scale = 1/fmaxf(norm, eps)
+    acl_scalar_ptr acl_min = ggml_cann_create_scalar(&eps, aclDataType::ACL_FLOAT);
+    float          flt_max = FLT_MAX;
+    acl_scalar_ptr acl_max = ggml_cann_create_scalar(&flt_max, aclDataType::ACL_FLOAT);
+    GGML_CANN_CALL_ACLNN_OP(ctx, Clamp, acl_div.get(), acl_min.get(), acl_max.get(), acl_div.get());
+
     GGML_CANN_CALL_ACLNN_OP(ctx, Div, acl_src.get(), acl_div.get(), acl_dst.get());
 }
 
@@ -1788,9 +1798,11 @@ void ggml_cann_get_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_tensor * src0 = dst->src[0];  // src
     ggml_tensor * src1 = dst->src[1];  // index
 
-    GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
+    GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16
+                || dst->type == GGML_TYPE_BF16);
 
     switch (src0->type) {
+        case GGML_TYPE_BF16:
         case GGML_TYPE_F16:
         case GGML_TYPE_F32:
             if (src0->type == dst->type) {
@@ -1881,6 +1893,7 @@ void ggml_cann_set_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
                 break;
             }
         case GGML_TYPE_F16:
+        case GGML_TYPE_BF16:
             {
                 acl_tensor_ptr       acl_src0 = ggml_cann_create_tensor(src0);
                 ggml_cann_pool_alloc src_buffer_allocator(ctx.pool(), ggml_nelements(src0) * sizeof(uint16_t));
@@ -1891,7 +1904,7 @@ void ggml_cann_set_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
                     src_trans_nb[i] = src_trans_nb[i - 1] * src0->ne[i - 1];
                 }
                 acl_tensor_ptr src_trans_tensor = ggml_cann_create_tensor(
-                    src_trans_buffer, ACL_FLOAT16, ggml_type_size(dst->type), src0->ne, src_trans_nb, GGML_MAX_DIMS);
+                    src_trans_buffer, ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type), src0->ne, src_trans_nb, GGML_MAX_DIMS);
                 aclnn_cast(ctx, acl_src0.get(), src_trans_tensor.get(), ggml_cann_type_mapping(dst->type));
                 aclnn_index_copy_4d(ctx, src_trans_buffer, src0->ne, src_trans_nb, dst->data, dst->ne, dst->nb, src1,
                                     dst->type);
@@ -1965,7 +1978,7 @@ static void ggml_cann_mat_mul_fp(ggml_backend_cann_context & ctx, ggml_tensor *
 
     // Only check env once.
     static bool weight_to_nz = parse_bool(get_env_as_lowercase("GGML_CANN_WEIGHT_NZ").value_or("on"));
-    if (weight_to_nz && is_matmul_weight(weight)) {
+    if (weight_to_nz && weight->type != GGML_TYPE_BF16 && is_matmul_weight(weight)) {
         acl_weight_tensor = ggml_cann_create_tensor(weight, transpose_ne, transpose_nb, n_dims, ACL_FORMAT_FRACTAL_NZ);
     } else {
         acl_weight_tensor = ggml_cann_create_tensor(weight, transpose_ne, transpose_nb, n_dims, ACL_FORMAT_ND);
@@ -2146,6 +2159,9 @@ void ggml_cann_mul_mat(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     switch (type) {
         case GGML_TYPE_F32:
         case GGML_TYPE_F16:
+#ifndef ASCEND_310P
+        case GGML_TYPE_BF16:
+#endif
             ggml_cann_mat_mul_fp(ctx, dst);
             break;
         case GGML_TYPE_Q4_0:
@@ -2943,6 +2959,27 @@ void ggml_cann_rope(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
         // Rotate full tensor (no tail), using trans tensors
         GGML_CANN_CALL_ACLNN_OP(ctx, RotaryPositionEmbedding, acl_src_trans_tensor.get(), acl_cos_reshape_tensor.get(),
                                 acl_sin_reshape_tensor.get(), acl_mode, acl_dst_trans_tensor.get());
+    } else if (src0->data == dst->data && !ggml_is_contiguous(src0)) {
+        // In-place on non-contiguous tensor: RotaryPositionEmbedding cannot safely
+        // read and write the same non-contiguous buffer. Use contiguous temporaries.
+        size_t contiguous_nb[GGML_MAX_DIMS];
+        contiguous_nb[0] = sizeof(float);
+        for (int i = 1; i < GGML_MAX_DIMS; i++) {
+            contiguous_nb[i] = contiguous_nb[i - 1] * src0->ne[i - 1];
+        }
+        int64_t              total_elements = ggml_nelements(src0);
+        ggml_cann_pool_alloc inplace_src_alloc(ctx.pool(), total_elements * sizeof(float));
+        ggml_cann_pool_alloc inplace_dst_alloc(ctx.pool(), total_elements * sizeof(float));
+
+        acl_tensor_ptr acl_src_contig = ggml_cann_create_tensor(inplace_src_alloc.get(), ACL_FLOAT, sizeof(float),
+                                                                src0->ne, contiguous_nb, GGML_MAX_DIMS);
+        acl_tensor_ptr acl_dst_contig = ggml_cann_create_tensor(inplace_dst_alloc.get(), ACL_FLOAT, sizeof(float),
+                                                                dst->ne, contiguous_nb, GGML_MAX_DIMS);
+
+        cann_copy(ctx, acl_src.get(), acl_src_contig.get());
+        GGML_CANN_CALL_ACLNN_OP(ctx, RotaryPositionEmbedding, acl_src_contig.get(), acl_cos_reshape_tensor.get(),
+                                acl_sin_reshape_tensor.get(), acl_mode, acl_dst_contig.get());
+        cann_copy(ctx, acl_dst_contig.get(), acl_dst.get());
     } else {
         // Rotate full tensor (no tail), using original tensors
         GGML_CANN_CALL_ACLNN_OP(ctx, RotaryPositionEmbedding, acl_src.get(), acl_cos_reshape_tensor.get(),
@@ -2984,6 +3021,58 @@ void ggml_cann_rope(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     }
 }
 
+void ggml_cann_rope_cache_preload(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src0 = dst->src[0];
+
+    float     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
+    int       sections[4];
+    const int n_dims     = ((int32_t *) dst->op_params)[1];
+    const int mode       = ((int32_t *) dst->op_params)[2];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
+
+    GGML_TENSOR_UNARY_OP_LOCALS
+
+    memcpy(&freq_base, (int32_t *) dst->op_params + 5, sizeof(float));
+    memcpy(&freq_scale, (int32_t *) dst->op_params + 6, sizeof(float));
+    memcpy(&ext_factor, (int32_t *) dst->op_params + 7, sizeof(float));
+    memcpy(&attn_factor, (int32_t *) dst->op_params + 8, sizeof(float));
+    memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float));
+    memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
+    memcpy(&sections, (int32_t *) dst->op_params + 11, sizeof(int) * 4);
+
+    const float theta_scale = powf(freq_base, -2.0f / n_dims);
+
+    float corr_dims[2];
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
+
+    bool       is_neox    = mode & GGML_ROPE_TYPE_NEOX;
+    const bool is_imrope  = mode == GGML_ROPE_TYPE_IMROPE;
+    const bool mrope_used = mode & GGML_ROPE_TYPE_MROPE;
+    const bool is_vision  = mode == GGML_ROPE_TYPE_VISION;
+
+    if (is_imrope || mrope_used) {
+        is_neox = true;
+    }
+
+    int64_t rope_dims = n_dims;
+    if (is_vision) {
+        rope_dims = src0->ne[0];
+    }
+
+    // Run the full cache init on the non-captured stream.  This performs all
+    // host-to-device memcpy, aclrtMalloc/Free, and on-device computations
+    // so that the memory pool is warmed up and cache metadata is populated.
+    aclnn_rope_cache_init(ctx, dst, corr_dims, ext_factor, theta_scale, freq_scale, attn_factor, is_neox, sections,
+                          mrope_used, is_imrope, is_vision, rope_dims);
+
+    // Reset `cached` so that during graph capture the on-device computations
+    // (sin/cos, position multiply, repeat, etc.) still execute and get recorded
+    // into the captured graph.  The cache metadata (theta_scale_length,
+    // theta_scale, sections, position_length, etc.) remains set, which causes
+    // all host-to-device copy and malloc/free branches to be skipped.
+    ctx.rope_cache.cached = false;
+}
+
 void ggml_cann_argmax(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_tensor * src0 = dst->src[0];
 
diff --git a/ggml/src/ggml-cann/aclnn_ops.h b/ggml/src/ggml-cann/aclnn_ops.h
index 3effa1c289c0f07048fa5871f329f91ddf3d1bc6..7f5ba4d3302d1a4e8a8ad239330f49c8727e363b 100644
--- a/ggml/src/ggml-cann/aclnn_ops.h
+++ b/ggml/src/ggml-cann/aclnn_ops.h
@@ -543,6 +543,21 @@ void ggml_cann_mul_mat(ggml_backend_cann_context & ctx, ggml_tensor * dst);
  */
 void ggml_cann_rope(ggml_backend_cann_context & ctx, ggml_tensor * dst);
 
+/**
+ * @brief Pre-load the RoPE cache before ACL graph capture.
+ *
+ * This function must be called outside of graph capture to perform
+ * host-to-device memory copies and device memory allocations that are
+ * not allowed on a captured stream.  After pre-loading, the rope cache
+ * metadata is updated so that the subsequent call to
+ * aclnn_rope_cache_init (inside graph capture) skips these operations
+ * and only records the on-device computations into the captured graph.
+ *
+ * @param ctx  CANN backend context.
+ * @param dst  A ROPE destination tensor from the computation graph.
+ */
+void ggml_cann_rope_cache_preload(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
 /**
  * @brief   Computes the index of the maximum value along the specified dimension
  *          of a ggml tensor using the CANN backend.
diff --git a/ggml/src/ggml-cann/common.h b/ggml/src/ggml-cann/common.h
index 0120f0dfd1e6bc125701229af6f451ef0739e64c..1c6e685c38cac5de85bf70914a95ce3afc90488b 100644
--- a/ggml/src/ggml-cann/common.h
+++ b/ggml/src/ggml-cann/common.h
@@ -216,14 +216,16 @@ struct ggml_cann_pool_alloc {
 #ifdef USE_ACL_GRAPH
 struct ggml_graph_node_properties {
     // dst tensor
-    void *  node_address;
-    int64_t ne[GGML_MAX_DIMS];
-    size_t  nb[GGML_MAX_DIMS];
+    void *    node_address;
+    ggml_type node_type;
+    int64_t   ne[GGML_MAX_DIMS];
+    size_t    nb[GGML_MAX_DIMS];
 
     // src tensor
-    void *  src_address[GGML_MAX_SRC];
-    int64_t src_ne[GGML_MAX_SRC][GGML_MAX_DIMS];
-    size_t  src_nb[GGML_MAX_SRC][GGML_MAX_DIMS];
+    void *    src_address[GGML_MAX_SRC];
+    ggml_type src_type[GGML_MAX_SRC];
+    int64_t   src_ne[GGML_MAX_SRC][GGML_MAX_DIMS];
+    size_t    src_nb[GGML_MAX_SRC][GGML_MAX_DIMS];
 
     // op
     ggml_op node_op;
@@ -247,6 +249,10 @@ struct ggml_graph_node_properties {
             return false;
         }
 
+        if (node->type != this->node_type) {
+            return false;
+        }
+
         for (int i = 0; i < GGML_MAX_DIMS; i++) {
             if (node->ne[i] != this->ne[i]) {
                 return false;
@@ -262,6 +268,10 @@ struct ggml_graph_node_properties {
                     return false;
                 }
 
+                if (node->src[i]->type != this->src_type[i]) {
+                    return false;
+                }
+
                 for (int d = 0; d < GGML_MAX_DIMS; d++) {
                     if (node->src[i]->ne[d] != this->src_ne[i][d]) {
                         return false;
@@ -277,10 +287,7 @@ struct ggml_graph_node_properties {
             }
         }
 
-        if (node->op == GGML_OP_SCALE || node->op == GGML_OP_UNARY || node->op == GGML_OP_GLU) {
-            return memcmp(this->op_params, node->op_params, GGML_MAX_OP_PARAMS) == 0;
-        }
-        return true;
+        return memcmp(this->op_params, node->op_params, GGML_MAX_OP_PARAMS) == 0;
     }
 };
 
@@ -322,6 +329,7 @@ struct ggml_cann_graph {
 
             prop.node_address = node->data;
             prop.node_op      = node->op;
+            prop.node_type    = node->type;
 
             std::copy_n(node->ne, GGML_MAX_DIMS, prop.ne);
             std::copy_n(node->nb, GGML_MAX_DIMS, prop.nb);
@@ -329,10 +337,12 @@ struct ggml_cann_graph {
             for (int src = 0; src < GGML_MAX_SRC; ++src) {
                 if (node->src[src]) {
                     prop.src_address[src] = node->src[src]->data;
+                    prop.src_type[src]    = node->src[src]->type;
                     std::copy_n(node->src[src]->ne, GGML_MAX_DIMS, prop.src_ne[src]);
                     std::copy_n(node->src[src]->nb, GGML_MAX_DIMS, prop.src_nb[src]);
                 } else {
                     prop.src_address[src] = nullptr;
+                    prop.src_type[src]    = GGML_TYPE_COUNT;
                     std::fill_n(prop.src_ne[src], GGML_MAX_DIMS, 0);
                     std::fill_n(prop.src_nb[src], GGML_MAX_DIMS, 0);
                 }
diff --git a/ggml/src/ggml-cann/ggml-cann.cpp b/ggml/src/ggml-cann/ggml-cann.cpp
index a682746bb428f8c532c3a4b27526b0403040d72d..5fc484b342b8e1df67f8ef42b8dc4d2486fc26b3 100644
--- a/ggml/src/ggml-cann/ggml-cann.cpp
+++ b/ggml/src/ggml-cann/ggml-cann.cpp
@@ -36,10 +36,13 @@
 #include <cmath>
 #include <cstdio>
 #include <cstring>
+#include <memory>
 #include <mutex>
 #include <optional>
 #include <queue>
+#include <unordered_map>
 #include <unordered_set>
+#include <vector>
 
 #define GGML_COMMON_DECL_C
 
@@ -770,6 +773,21 @@ std::unique_ptr<ggml_cann_pool> ggml_backend_cann_context::new_pool_for_device(i
 }
 
 // cann buffer
+
+/**
+ * @brief Tracks multi-threaded write progress for a single tensor.
+ *
+ * When multiple threads call set_tensor on different chunks of the same tensor,
+ * this tracker accumulates progress and defers post-processing (quantized format
+ * transform or ND-to-NZ conversion) until all data has been written.
+ */
+struct TensorSetTracker {
+    std::mutex mtx;                   ///< Protects concurrent access to this tracker
+    size_t bytes_written = 0;         ///< Accumulated bytes written so far
+    size_t total_bytes = 0;           ///< Target size (full tensor)
+    std::vector<uint8_t> host_buffer; ///< Host staging buffer for quantized tensors
+};
+
 /**
  * @brief Context for managing a CANN buffer associated with a specific device.
  *
@@ -780,6 +798,9 @@ struct ggml_backend_cann_buffer_context {
     int32_t device;             ///< The device ID associated with this buffer context.
     void *  dev_ptr = nullptr;  ///< Pointer to the device memory allocated for the buffer.
 
+    std::mutex tracker_mutex;   ///< Protects the trackers map
+    std::unordered_map<void *, std::unique_ptr<TensorSetTracker>> trackers;
+
     /**
      * @brief Constructor to initialize the CANN buffer context.
      *
@@ -792,6 +813,31 @@ struct ggml_backend_cann_buffer_context {
      * @brief Destructor to free the device memory allocated for the buffer.
      */
     ~ggml_backend_cann_buffer_context() { ACL_CHECK(aclrtFree(dev_ptr)); }
+
+    /**
+     * @brief Get or create a tracker for the given tensor.
+     */
+    TensorSetTracker * get_or_create_tracker(ggml_tensor * tensor) {
+        std::lock_guard<std::mutex> lock(tracker_mutex);
+        auto key = tensor->data;
+        auto it = trackers.find(key);
+        if (it == trackers.end()) {
+            auto tracker = std::make_unique<TensorSetTracker>();
+            tracker->total_bytes = ggml_nbytes(tensor);
+            auto * ptr = tracker.get();
+            trackers[key] = std::move(tracker);
+            return ptr;
+        }
+        return it->second.get();
+    }
+
+    /**
+     * @brief Remove the tracker for the given tensor.
+     */
+    void remove_tracker(ggml_tensor * tensor) {
+        std::lock_guard<std::mutex> lock(tracker_mutex);
+        trackers.erase(tensor->data);
+    }
 };
 
 // cann buffer type
@@ -1124,6 +1170,7 @@ static enum ggml_status ggml_backend_cann_buffer_init_tensor(ggml_backend_buffer
  * designed to be used with a global array, one per device.
  */
 struct ggml_cann_nz_workspace {
+    std::mutex mtx;    // Protects ptr/allocated from concurrent access
     void * ptr;        // Pointer to allocated device buffer
     size_t allocated;  // Size of currently allocated buffer in bytes
 
@@ -1190,13 +1237,15 @@ static ggml_cann_nz_workspace g_nz_workspaces[GGML_CANN_MAX_DEVICES];
  * @note The workspace buffer used in this function is managed globally and reused
  *       across calls. This reduces overhead from repeated memory allocation and deallocation.
  */
-static void weight_format_to_nz(ggml_tensor * tensor, size_t offset, int device) {
-    acl_tensor_ptr weightTransposed = ggml_cann_create_tensor(tensor, tensor->ne, tensor->nb, 2, ACL_FORMAT_ND, offset);
+static void weight_format_to_nz(ggml_tensor * tensor, int device) {
+    acl_tensor_ptr weightTransposed = ggml_cann_create_tensor(tensor, tensor->ne, tensor->nb, 2, ACL_FORMAT_ND, 0);
     uint64_t       workspaceSize    = 0;
     aclOpExecutor * executor;
 
     // TransMatmulWeight
     ACL_CHECK(aclnnTransMatmulWeightGetWorkspaceSize(weightTransposed.get(), &workspaceSize, &executor));
+
+    std::lock_guard<std::mutex> lock(g_nz_workspaces[device].mtx);
     // Avoid frequent malloc/free of the workspace.
     g_nz_workspaces[device].realloc(workspaceSize);
 
@@ -1210,7 +1259,13 @@ static void weight_format_to_nz(ggml_tensor * tensor, size_t offset, int device)
  * @brief Set tensor data in a CANN buffer.
  *
  * This function sets tensor data in a CANN buffer, handling transformations
- * if needed based on the tensor's type.
+ * if needed based on the tensor's type. It supports multi-threaded calls
+ * where different threads write different chunks of the same tensor.
+ *
+ * For quantized tensors (Q4_0/Q8_0), data is staged in a host buffer and
+ * the format transform is deferred until all chunks are written.
+ * For NZ weight tensors, chunks are uploaded directly but the ND-to-NZ
+ * conversion is deferred until all chunks are written.
  *
  * @param buffer The CANN buffer where the tensor data will be set.
  * @param tensor Pointer to the tensor whose data will be set.
@@ -1226,25 +1281,72 @@ static void ggml_backend_cann_buffer_set_tensor(ggml_backend_buffer_t buffer,
     ggml_backend_cann_buffer_context * ctx = (ggml_backend_cann_buffer_context *) buffer->context;
 
     ggml_cann_set_device(ctx->device);
-    // TODO: refer to cann(#6017), it use thread's default stream.
-    // For acl, synchronous functions use this default stream.
-    // Why aclrtSynchronizeDevice?
 
     // Only check env once.
     static bool weight_to_nz = parse_bool(get_env_as_lowercase("GGML_CANN_WEIGHT_NZ").value_or("on"));
-    if (!need_transform(tensor->type)) {
+
+    bool is_quantized = need_transform(tensor->type);
+    bool is_nz        = !is_quantized && tensor->type != GGML_TYPE_BF16 && weight_to_nz &&
+                 is_matmul_weight((const ggml_tensor *) tensor);
+
+    // Plain tensor (not quantized, not NZ): direct copy, no tracking needed
+    if (!is_quantized && !is_nz) {
         ACL_CHECK(aclrtMemcpy((char *) tensor->data + offset, size, data, size, ACL_MEMCPY_HOST_TO_DEVICE));
-        if (weight_to_nz && is_matmul_weight((const ggml_tensor *) tensor)) {
+        return;
+    }
+
+    // Single-shot write (full tensor at once): handle directly without tracking overhead
+    if (offset == 0 && size == ggml_nbytes(tensor)) {
+        if (is_quantized) {
+            void * transform_buffer = malloc(size);
+            ggml_backend_cann_transform(tensor, data, transform_buffer);
+            ACL_CHECK(aclrtMemcpy(tensor->data, size, transform_buffer, size, ACL_MEMCPY_HOST_TO_DEVICE));
+            free(transform_buffer);
+        } else {
+            // NZ weight
             GGML_ASSERT(tensor->ne[2] == 1);
             GGML_ASSERT(tensor->ne[3] == 1);
-            weight_format_to_nz(tensor, offset, ctx->device);
+            ACL_CHECK(aclrtMemcpy(tensor->data, size, data, size, ACL_MEMCPY_HOST_TO_DEVICE));
+            weight_format_to_nz(tensor, ctx->device);
         }
+        return;
+    }
+
+    // Chunked write: use tracker to accumulate progress and defer transform/conversion
+    TensorSetTracker * tracker = ctx->get_or_create_tracker(tensor);
+    std::unique_lock<std::mutex> lock(tracker->mtx);
+
+    if (is_quantized) {
+        // Stage data in host buffer; transform requires full tensor data
+        if (tracker->host_buffer.empty()) {
+            tracker->host_buffer.resize(tracker->total_bytes);
+        }
+        memcpy(tracker->host_buffer.data() + offset, data, size);
     } else {
-        void * transform_buffer = malloc(size);
-        ggml_backend_cann_transform(tensor, data, transform_buffer);
+        // NZ weight: upload chunk to device immediately, defer conversion
+        ACL_CHECK(aclrtMemcpy((char *) tensor->data + offset, size, data, size, ACL_MEMCPY_HOST_TO_DEVICE));
+    }
 
-        ACL_CHECK(aclrtMemcpy((char *) tensor->data + offset, size, transform_buffer, size, ACL_MEMCPY_HOST_TO_DEVICE));
-        free(transform_buffer);
+    tracker->bytes_written += size;
+
+    // All chunks received: perform deferred transform/conversion
+    if (tracker->bytes_written >= tracker->total_bytes) {
+        if (is_quantized) {
+            void * transform_buffer = malloc(tracker->total_bytes);
+            ggml_backend_cann_transform(tensor, tracker->host_buffer.data(), transform_buffer);
+            ACL_CHECK(aclrtMemcpy(tensor->data, tracker->total_bytes, transform_buffer, tracker->total_bytes, ACL_MEMCPY_HOST_TO_DEVICE));
+            free(transform_buffer);
+        }
+
+        if (is_nz) {
+            GGML_ASSERT(tensor->ne[2] == 1);
+            GGML_ASSERT(tensor->ne[3] == 1);
+            weight_format_to_nz(tensor, ctx->device);
+        }
+
+        // Unlock before removing tracker, as remove_tracker destroys the mutex
+        lock.unlock();
+        ctx->remove_tracker(tensor);
     }
 }
 
@@ -1355,6 +1457,8 @@ static const ggml_backend_buffer_i ggml_backend_cann_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_cann_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cann_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_cann_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cann_buffer_clear,
     /* .reset           = */ NULL,
@@ -1443,7 +1547,8 @@ static size_t ggml_backend_cann_buffer_type_get_alloc_size(ggml_backend_buffer_t
         if (ne0 % MATRIX_ROW_PADDING != 0) {
             size += ggml_row_size(tensor->type, MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING);
         }
-    } else if (weight_to_nz && is_matmul_weight((const ggml_tensor *) tensor)) {
+    } else if (weight_to_nz && tensor->type != GGML_TYPE_BF16
+               && is_matmul_weight((const ggml_tensor *) tensor)) {
         // NZ format weight are not support quantized yet.
         // If ND tensor transform to NZ, size may changed.
         int64_t shape[] = { tensor->ne[1], tensor->ne[0] };
@@ -2223,6 +2328,19 @@ static enum ggml_status ggml_backend_cann_graph_compute(ggml_backend_t backend,
             // If no matching graph is found, add a new ACL graph.
             ggml_cann_graph * new_graph = ggml_cann_graph::create_from_cgraph(cgraph);
             cann_ctx->graph_lru_cache.push(new_graph);
+
+            // Pre-load rope cache before graph capture.  During capture the
+            // stream cannot perform host-to-device memcpy or device memory
+            // malloc/free.  Running the full cache init now populates the
+            // cache metadata so these branches are skipped during capture,
+            // while also warming up the memory pool.
+            for (int i = 0; i < cgraph->n_nodes; i++) {
+                ggml_tensor * node = cgraph->nodes[i];
+                if (node->op == GGML_OP_ROPE) {
+                    ggml_cann_rope_cache_preload(*cann_ctx, node);
+                    break;
+                }
+            }
         }
     }
 #else
@@ -2283,6 +2401,9 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
         case GGML_OP_MUL_MAT:
             {
                 switch (op->src[0]->type) {
+#ifndef ASCEND_310P
+                    case GGML_TYPE_BF16:
+#endif
                     case GGML_TYPE_F16:
                     case GGML_TYPE_F32:
                         return true;
@@ -2320,6 +2441,9 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
                 switch (op->src[0]->type) {
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
+#ifndef ASCEND_310P
+                    case GGML_TYPE_BF16:
+#endif
                     case GGML_TYPE_Q8_0:
                         return true;
                     default:
@@ -2332,6 +2456,9 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
                 switch (op->type) {
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
+#ifndef ASCEND_310P
+                    case GGML_TYPE_BF16:
+#endif
                         return true;
                     default:
                         return false;
@@ -2341,20 +2468,30 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
         case GGML_OP_CPY:
             {
                 ggml_tensor * src = op->src[0];
+#ifdef ASCEND_310P
                 if ((op->type != GGML_TYPE_F32 && op->type != GGML_TYPE_F16) ||
                     (src->type != GGML_TYPE_F32 && src->type != GGML_TYPE_F16)) {
-                    // only support F32 and F16.
+                    // only support F32 and F16 on 310P.
+                    return false;
+                }
+#else
+                if ((op->type != GGML_TYPE_F32 && op->type != GGML_TYPE_F16 && op->type != GGML_TYPE_BF16) ||
+                    (src->type != GGML_TYPE_F32 && src->type != GGML_TYPE_F16 && src->type != GGML_TYPE_BF16)) {
+                    // only support F32, F16 and BF16.
                     return false;
                 }
+#endif
                 return true;
             }
             break;
         case GGML_OP_CONT:
             {
-                // TODO: support GGML_TYPE_BF16
                 switch (op->src[0]->type) {
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
+#ifndef ASCEND_310P
+                    case GGML_TYPE_BF16:
+#endif
                         return true;
                     default:
                         return false;
@@ -2563,6 +2700,8 @@ static const ggml_backend_i ggml_backend_cann_interface = {
     /* .free                    = */ ggml_backend_cann_free,
     /* .set_tensor_async        = */ ggml_backend_cann_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_cann_get_tensor_async,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ ggml_backend_cann_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_cann_synchronize,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-common.h b/ggml/src/ggml-common.h
index 92cf739e7a7beab7c4ae1717ab270f73d41a01ff..f05683b44cd9cf45aaf2fbd6dc38763290b9ef4e 100644
--- a/ggml/src/ggml-common.h
+++ b/ggml/src/ggml-common.h
@@ -93,6 +93,10 @@ typedef sycl::half2 ggml_half2;
 // QR = QK / number of values before dequantization
 // QI = number of 32 bit integers before dequantization
 
+#define QI1_0 (QK1_0 / 32)
+#define QR1_0 1
+
+
 #define QI4_0 (QK4_0 / (4 * QR4_0))
 #define QR4_0 2
 
@@ -170,6 +174,13 @@ typedef sycl::half2 ggml_half2;
 #define GGML_EXTENSION __extension__
 #endif // _MSC_VER
 
+#define QK1_0 128
+typedef struct {
+    ggml_half d;           // delta
+    uint8_t qs[QK1_0 / 8]; // bits / quants
+} block_q1_0;
+static_assert(sizeof(block_q1_0) == sizeof(ggml_half) + QK1_0 / 8, "wrong q1_0 block size/padding");
+
 #define QK4_0 32
 typedef struct {
     ggml_half d;           // delta
diff --git a/ggml/src/ggml-cpu/CMakeLists.txt b/ggml/src/ggml-cpu/CMakeLists.txt
index 6ca3176a2f241f8f851f71b3e42de56a0e22706e..4710112b01a87def8b33375ccd0ead489d0ef2b0 100644
--- a/ggml/src/ggml-cpu/CMakeLists.txt
+++ b/ggml/src/ggml-cpu/CMakeLists.txt
@@ -1,694 +1,3 @@
-function(ggml_add_cpu_backend_features cpu_name arch)
-    # The feature detection code is compiled as a separate target so that
-    # it can be built without the architecture flags
-    # Since multiple variants of the CPU backend may be included in the same
-    # build, using set_source_files_properties() to set the arch flags is not possible
-    set(GGML_CPU_FEATS_NAME ${cpu_name}-feats)
-    add_library(${GGML_CPU_FEATS_NAME} OBJECT ggml-cpu/arch/${arch}/cpu-feats.cpp)
-    target_include_directories(${GGML_CPU_FEATS_NAME} PRIVATE . ../include)
-    target_compile_definitions(${GGML_CPU_FEATS_NAME} PRIVATE ${ARGN})
-    target_compile_definitions(${GGML_CPU_FEATS_NAME} PRIVATE GGML_BACKEND_DL GGML_BACKEND_BUILD GGML_BACKEND_SHARED)
-    set_target_properties(${GGML_CPU_FEATS_NAME} PROPERTIES POSITION_INDEPENDENT_CODE ON)
-    # Disable LTO for the feature detection code to prevent cross-module optimization
-    # from inlining architecture-specific instructions into the score function.
-    # Without this, LTO can cause SIGILL when loading backends on older CPUs
-    # (e.g., loading power10 backend on power9 crashes before feature check runs).
-    target_compile_options(${GGML_CPU_FEATS_NAME} PRIVATE -fno-lto)
-    target_link_libraries(${cpu_name} PRIVATE ${GGML_CPU_FEATS_NAME})
-endfunction()
-
-function(ggml_add_cpu_backend_variant_impl tag_name)
-    if (tag_name)
-        set(GGML_CPU_NAME ggml-cpu-${tag_name})
-    else()
-        set(GGML_CPU_NAME ggml-cpu)
-    endif()
-
-    ggml_add_backend_library(${GGML_CPU_NAME})
-
-    list (APPEND GGML_CPU_SOURCES
-        ggml-cpu/ggml-cpu.c
-        ggml-cpu/ggml-cpu.cpp
-        ggml-cpu/repack.cpp
-        ggml-cpu/repack.h
-        ggml-cpu/hbm.cpp
-        ggml-cpu/hbm.h
-        ggml-cpu/quants.c
-        ggml-cpu/quants.h
-        ggml-cpu/traits.cpp
-        ggml-cpu/traits.h
-        ggml-cpu/amx/amx.cpp
-        ggml-cpu/amx/amx.h
-        ggml-cpu/amx/mmq.cpp
-        ggml-cpu/amx/mmq.h
-        ggml-cpu/ggml-cpu-impl.h
-        ggml-cpu/common.h
-        ggml-cpu/binary-ops.h
-        ggml-cpu/binary-ops.cpp
-        ggml-cpu/unary-ops.h
-        ggml-cpu/unary-ops.cpp
-        ggml-cpu/simd-mappings.h
-        ggml-cpu/vec.h
-        ggml-cpu/vec.cpp
-        ggml-cpu/ops.h
-        ggml-cpu/ops.cpp
-        )
-
-    target_compile_features(${GGML_CPU_NAME} PRIVATE c_std_11 cxx_std_17)
-    target_include_directories(${GGML_CPU_NAME} PRIVATE . ggml-cpu)
-
-    if (APPLE AND GGML_ACCELERATE)
-        find_library(ACCELERATE_FRAMEWORK Accelerate)
-        if (ACCELERATE_FRAMEWORK)
-            message(STATUS "Accelerate framework found")
-
-            target_compile_definitions(${GGML_CPU_NAME} PRIVATE GGML_USE_ACCELERATE)
-            target_compile_definitions(${GGML_CPU_NAME} PRIVATE ACCELERATE_NEW_LAPACK)
-            target_compile_definitions(${GGML_CPU_NAME} PRIVATE ACCELERATE_LAPACK_ILP64)
-
-            target_link_libraries(${GGML_CPU_NAME} PRIVATE ${ACCELERATE_FRAMEWORK})
-        else()
-            message(WARNING "Accelerate framework not found")
-        endif()
-    endif()
-
-    if (GGML_OPENMP)
-        find_package(OpenMP)
-        if (OpenMP_FOUND)
-            set(GGML_OPENMP_ENABLED "ON" CACHE INTERNAL "")
-            target_compile_definitions(${GGML_CPU_NAME} PRIVATE GGML_USE_OPENMP)
-
-            target_link_libraries(${GGML_CPU_NAME} PRIVATE OpenMP::OpenMP_C OpenMP::OpenMP_CXX)
-        else()
-            set(GGML_OPENMP_ENABLED "OFF" CACHE INTERNAL "")
-            message(WARNING "OpenMP not found")
-        endif()
-    endif()
-
-    if (GGML_LLAMAFILE)
-        target_compile_definitions(${GGML_CPU_NAME} PRIVATE GGML_USE_LLAMAFILE)
-
-        list(APPEND GGML_CPU_SOURCES
-                    ggml-cpu/llamafile/sgemm.cpp
-                    ggml-cpu/llamafile/sgemm.h)
-    endif()
-
-    if (GGML_CPU_HBM)
-        find_library(memkind memkind REQUIRED)
-
-        message(STATUS "Using memkind for CPU HBM")
-
-        target_compile_definitions(${GGML_CPU_NAME} PRIVATE GGML_USE_CPU_HBM)
-
-        target_link_libraries(${GGML_CPU_NAME} PUBLIC memkind)
-    endif()
-
-    if (GGML_SYSTEM_ARCH STREQUAL "ARM")
-        message(STATUS "ARM detected")
-        list(APPEND GGML_CPU_SOURCES
-            ggml-cpu/arch/arm/quants.c
-            ggml-cpu/arch/arm/repack.cpp
-            )
-
-        if (MSVC AND NOT CMAKE_C_COMPILER_ID STREQUAL "Clang")
-            message(FATAL_ERROR "MSVC is not supported for ARM, use clang")
-        else()
-            check_cxx_compiler_flag(-mfp16-format=ieee GGML_COMPILER_SUPPORTS_FP16_FORMAT_I3E)
-            if (NOT "${GGML_COMPILER_SUPPORTS_FP16_FORMAT_I3E}" STREQUAL "")
-                list(APPEND ARCH_FLAGS -mfp16-format=ieee)
-            endif()
-
-            if (GGML_NATIVE)
-                # -mcpu=native does not always enable all the features in some compilers,
-                # so we check for them manually and enable them if available
-
-                execute_process(
-                    COMMAND ${CMAKE_C_COMPILER} -mcpu=native -E -v -
-                    INPUT_FILE "/dev/null"
-                    OUTPUT_QUIET
-                    ERROR_VARIABLE ARM_MCPU
-                    RESULT_VARIABLE ARM_MCPU_RESULT
-                )
-                if (NOT ARM_MCPU_RESULT)
-                    string(REGEX MATCH "-mcpu=[^ ']+" ARM_MCPU_FLAG "${ARM_MCPU}")
-                    string(REGEX MATCH "-march=[^ ']+" ARM_MARCH_FLAG "${ARM_MCPU}")
-
-                    # on some old GCC we need to read -march=
-                    if (ARM_MARCH_FLAG AND NOT "${ARM_MARCH_FLAG}" STREQUAL "-march=native")
-                        set(ARM_NATIVE_FLAG "${ARM_MARCH_FLAG}")
-                    elseif(ARM_MCPU_FLAG AND NOT "${ARM_MCPU_FLAG}" STREQUAL "-mcpu=native")
-                        set(ARM_NATIVE_FLAG "${ARM_MCPU_FLAG}")
-                    endif()
-                endif()
-
-                if ("${ARM_NATIVE_FLAG}" STREQUAL "")
-                    set(ARM_NATIVE_FLAG -mcpu=native)
-                    message(WARNING "ARM -march/-mcpu not found, -mcpu=native will be used")
-                else()
-                    message(STATUS "ARM detected flags: ${ARM_NATIVE_FLAG}")
-                endif()
-
-                include(CheckCXXSourceRuns)
-
-                macro(check_arm_feature tag feature code)
-                    set(CMAKE_REQUIRED_FLAGS_SAVE ${CMAKE_REQUIRED_FLAGS})
-                    set(CMAKE_REQUIRED_FLAGS "${ARM_NATIVE_FLAG}+${tag}")
-                    check_cxx_source_runs("${code}" GGML_MACHINE_SUPPORTS_${tag})
-                    if (GGML_MACHINE_SUPPORTS_${tag})
-                        set(ARM_NATIVE_FLAG_FIX "${ARM_NATIVE_FLAG_FIX}+${tag}")
-                    else()
-                        set(CMAKE_REQUIRED_FLAGS "${ARM_NATIVE_FLAG}+no${tag}")
-                        check_cxx_source_compiles("int main() { return 0; }" GGML_MACHINE_SUPPORTS_no${tag})
-                        if (GGML_MACHINE_SUPPORTS_no${tag})
-                            set(ARM_NATIVE_FLAG_FIX "${ARM_NATIVE_FLAG_FIX}+no${tag}")
-                            list(APPEND ARCH_FLAGS -U__ARM_FEATURE_${feature})
-                        endif()
-                    endif()
-                    set(CMAKE_REQUIRED_FLAGS ${CMAKE_REQUIRED_FLAGS_SAVE})
-                endmacro()
-
-                check_arm_feature(dotprod DOTPROD     "#include <arm_neon.h>\nint main() { int8x16_t _a, _b; volatile int32x4_t _s = vdotq_s32(_s, _a, _b); return 0; }")
-                check_arm_feature(i8mm    MATMUL_INT8 "#include <arm_neon.h>\nint main() { int8x16_t _a, _b; volatile int32x4_t _s = vmmlaq_s32(_s, _a, _b); return 0; }")
-                check_arm_feature(sve     SVE         "#include <arm_sve.h>\nint main()  { svfloat32_t _a, _b; volatile svfloat32_t _c = svadd_f32_z(svptrue_b8(), _a, _b); return 0; }")
-                check_arm_feature(sme     SME         "#include <arm_sme.h>\n__arm_locally_streaming int main() { __asm__ volatile(\"smstart; smstop;\"); return 0; }")
-
-                list(APPEND ARCH_FLAGS "${ARM_NATIVE_FLAG}${ARM_NATIVE_FLAG_FIX}")
-            else()
-                if (GGML_CPU_ARM_ARCH)
-                    list(APPEND ARCH_FLAGS -march=${GGML_CPU_ARM_ARCH})
-                elseif(GGML_CPU_ALL_VARIANTS)
-                    # Begin with the lowest baseline
-                    set(ARM_MCPU "armv8-a")
-                    set(ARCH_TAGS "")
-                    set(ARCH_DEFINITIONS "")
-
-                    # When a feature is selected, bump the MCPU to the first
-                    # version that supported it
-                    if (GGML_INTERNAL_DOTPROD)
-                        set(ARM_MCPU "armv8.2-a")
-                        set(ARCH_TAGS "${ARCH_TAGS}+dotprod")
-                        list(APPEND ARCH_DEFINITIONS GGML_USE_DOTPROD)
-                    endif()
-                    if (GGML_INTERNAL_FP16_VECTOR_ARITHMETIC)
-                        set(ARM_MCPU "armv8.2-a")
-                        set(ARCH_TAGS "${ARCH_TAGS}+fp16")
-                        list(APPEND ARCH_DEFINITIONS GGML_USE_FP16_VECTOR_ARITHMETIC)
-                    endif()
-                    if (GGML_INTERNAL_SVE)
-                        set(ARM_MCPU "armv8.2-a")
-                        set(ARCH_TAGS "${ARCH_TAGS}+sve")
-                        list(APPEND ARCH_DEFINITIONS GGML_USE_SVE)
-                    endif()
-                    if (GGML_INTERNAL_MATMUL_INT8)
-                        set(ARM_MCPU "armv8.6-a")
-                        set(ARCH_TAGS "${ARCH_TAGS}+i8mm")
-                        list(APPEND ARCH_DEFINITIONS GGML_USE_MATMUL_INT8)
-                    endif()
-                    if (GGML_INTERNAL_SVE2)
-                        set(ARM_MCPU "armv8.6-a")
-                        set(ARCH_TAGS "${ARCH_TAGS}+sve2")
-                        list(APPEND ARCH_DEFINITIONS GGML_USE_SVE2)
-                    endif()
-                    if (GGML_INTERNAL_NOSVE)
-                        set(ARCH_TAGS "${ARCH_TAGS}+nosve")
-                    endif()
-                    if (GGML_INTERNAL_SME)
-                        set(ARM_MCPU "armv9.2-a")
-                        set(ARCH_TAGS "${ARCH_TAGS}+sme")
-                        list(APPEND ARCH_DEFINITIONS GGML_USE_SME)
-                    endif()
-                    list(APPEND ARCH_FLAGS "-march=${ARM_MCPU}${ARCH_TAGS}")
-                    ggml_add_cpu_backend_features(${GGML_CPU_NAME} arm ${ARCH_DEFINITIONS})
-                endif()
-            endif()
-
-            message(STATUS "Checking for ARM features using flags:")
-            foreach(flag IN LISTS ARCH_FLAGS)
-                message(STATUS "  ${flag}")
-            endforeach()
-
-            include(CheckCXXSourceCompiles)
-            set(CMAKE_REQUIRED_FLAGS_SAVE ${CMAKE_REQUIRED_FLAGS})
-            string(REPLACE ";" " " ARCH_FLAGS_STR "${ARCH_FLAGS}")
-            set(CMAKE_REQUIRED_FLAGS "${ARCH_FLAGS_STR}")
-            foreach(feature DOTPROD SVE MATMUL_INT8 FMA FP16_VECTOR_ARITHMETIC SME)
-                set(ARM_FEATURE "HAVE_${feature}")
-                check_cxx_source_compiles(
-                    "
-                    #if !defined(__ARM_FEATURE_${feature})
-                    #  error \"Feature ${feature} is not defined\"
-                    #endif
-                    int main() { return 0; }
-                    "
-                    ${ARM_FEATURE}
-                )
-            endforeach()
-            set(CMAKE_REQUIRED_FLAGS ${CMAKE_REQUIRED_FLAGS_SAVE})
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "x86")
-        message(STATUS "x86 detected")
-        list(APPEND GGML_CPU_SOURCES
-            ggml-cpu/arch/x86/quants.c
-            ggml-cpu/arch/x86/repack.cpp
-            )
-
-        if (MSVC)
-            # instruction set detection for MSVC only
-            if (GGML_NATIVE)
-                include(ggml-cpu/cmake/FindSIMD.cmake)
-            endif ()
-            if (GGML_AVX512)
-                list(APPEND ARCH_FLAGS /arch:AVX512)
-                # /arch:AVX512 includes: __AVX512F__, __AVX512CD__, __AVX512BW__, __AVX512DQ__, and __AVX512VL__
-                # MSVC has no compile-time flags enabling specific
-                # AVX512 extensions, neither it defines the
-                # macros corresponding to the extensions.
-                # Do it manually.
-                list(APPEND ARCH_DEFINITIONS GGML_AVX512)
-                if (GGML_AVX512_VBMI)
-                    list(APPEND ARCH_DEFINITIONS __AVX512VBMI__)
-                    if (CMAKE_C_COMPILER_ID STREQUAL "Clang")
-                        list(APPEND ARCH_FLAGS -mavx512vbmi)
-                    endif()
-                endif()
-                if (GGML_AVX512_VNNI)
-                    list(APPEND ARCH_DEFINITIONS __AVX512VNNI__ GGML_AVX512_VNNI)
-                    if (CMAKE_C_COMPILER_ID STREQUAL "Clang")
-                        list(APPEND ARCH_FLAGS -mavx512vnni)
-                    endif()
-                endif()
-                if (GGML_AVX512_BF16)
-                    list(APPEND ARCH_DEFINITIONS __AVX512BF16__ GGML_AVX512_BF16)
-                    if (CMAKE_C_COMPILER_ID STREQUAL "Clang")
-                        list(APPEND ARCH_FLAGS -mavx512bf16)
-                    endif()
-                endif()
-                if (GGML_AMX_TILE)
-                    list(APPEND ARCH_DEFINITIONS __AMX_TILE__ GGML_AMX_TILE)
-                endif()
-                if (GGML_AMX_INT8)
-                    list(APPEND ARCH_DEFINITIONS __AMX_INT8__ GGML_AMX_INT8)
-                endif()
-                if (GGML_AMX_BF16)
-                    list(APPEND ARCH_DEFINITIONS __AMX_BF16__ GGML_AMX_BF16)
-                endif()
-            elseif (GGML_AVX2)
-                list(APPEND ARCH_FLAGS /arch:AVX2)
-                list(APPEND ARCH_DEFINITIONS GGML_AVX2 GGML_FMA GGML_F16C)
-            elseif (GGML_AVX)
-                list(APPEND ARCH_FLAGS /arch:AVX)
-                list(APPEND ARCH_DEFINITIONS GGML_AVX)
-            elseif (GGML_SSE42)
-                list(APPEND ARCH_FLAGS /arch:SSE4.2)
-                list(APPEND ARCH_DEFINITIONS GGML_SSE42)
-            endif()
-            if (GGML_AVX_VNNI)
-                list(APPEND ARCH_DEFINITIONS __AVXVNNI__ GGML_AVX_VNNI)
-            endif()
-            if (GGML_BMI2)
-                # MSVC does not define macro __BMI2__
-                list(APPEND ARCH_DEFINITIONS __BMI2__ GGML_BMI2)
-            endif()
-        else ()
-            if (GGML_NATIVE)
-                list(APPEND ARCH_FLAGS -march=native)
-            else ()
-                if (GGML_SSE42)
-                    list(APPEND ARCH_FLAGS -msse4.2)
-                    list(APPEND ARCH_DEFINITIONS GGML_SSE42)
-                endif()
-                if (GGML_F16C)
-                    list(APPEND ARCH_FLAGS -mf16c)
-                    list(APPEND ARCH_DEFINITIONS GGML_F16C)
-                endif()
-                if (GGML_FMA)
-                    list(APPEND ARCH_FLAGS -mfma)
-                    list(APPEND ARCH_DEFINITIONS GGML_FMA)
-                endif()
-                if (GGML_BMI2)
-                    list(APPEND ARCH_FLAGS -mbmi2)
-                    list(APPEND ARCH_DEFINITIONS GGML_BMI2)
-                endif()
-                if (GGML_AVX)
-                    list(APPEND ARCH_FLAGS -mavx)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX)
-                endif()
-                if (GGML_AVX2)
-                    list(APPEND ARCH_FLAGS -mavx2)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX2)
-                endif()
-                if (GGML_AVX_VNNI)
-                    list(APPEND ARCH_FLAGS -mavxvnni)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX_VNNI)
-                endif()
-                if (GGML_AVX512)
-                    list(APPEND ARCH_FLAGS -mavx512f)
-                    list(APPEND ARCH_FLAGS -mavx512cd)
-                    list(APPEND ARCH_FLAGS -mavx512vl)
-                    list(APPEND ARCH_FLAGS -mavx512dq)
-                    list(APPEND ARCH_FLAGS -mavx512bw)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX512)
-                endif()
-                if (GGML_AVX512_VBMI)
-                    list(APPEND ARCH_FLAGS -mavx512vbmi)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX512_VBMI)
-                endif()
-                if (GGML_AVX512_VNNI)
-                    list(APPEND ARCH_FLAGS -mavx512vnni)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX512_VNNI)
-                endif()
-                if (GGML_AVX512_BF16)
-                    list(APPEND ARCH_FLAGS -mavx512bf16)
-                    list(APPEND ARCH_DEFINITIONS GGML_AVX512_BF16)
-                endif()
-                if (GGML_AMX_TILE)
-                    list(APPEND ARCH_FLAGS -mamx-tile)
-                    list(APPEND ARCH_DEFINITIONS GGML_AMX_TILE)
-                endif()
-                if (GGML_AMX_INT8)
-                    list(APPEND ARCH_FLAGS -mamx-int8)
-                    list(APPEND ARCH_DEFINITIONS GGML_AMX_INT8)
-                endif()
-                if (GGML_AMX_BF16)
-                    list(APPEND ARCH_FLAGS -mamx-bf16)
-                    list(APPEND ARCH_DEFINITIONS GGML_AMX_BF16)
-                endif()
-            endif()
-        endif()
-
-        if (GGML_BACKEND_DL)
-            if (GGML_NATIVE)
-                # the feature check relies on ARCH_DEFINITIONS, but it is not set with GGML_NATIVE
-                message(FATAL_ERROR "GGML_NATIVE is not compatible with GGML_BACKEND_DL, consider using GGML_CPU_ALL_VARIANTS")
-            endif()
-            ggml_add_cpu_backend_features(${GGML_CPU_NAME} x86 ${ARCH_DEFINITIONS})
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "PowerPC")
-        message(STATUS "PowerPC detected")
-        list(APPEND GGML_CPU_SOURCES ggml-cpu/arch/powerpc/quants.c)
-        if (GGML_NATIVE)
-            if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64")
-                file(READ "/proc/cpuinfo" POWER10_M)
-            elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "powerpc")
-                execute_process(COMMAND bash -c "prtconf |grep 'Implementation' | head -n 1" OUTPUT_VARIABLE POWER10_M)
-            endif()
-
-            string(TOUPPER "${POWER10_M}" POWER10_M_UPPER)
-            string(REGEX MATCHALL "POWER *([0-9]+)" MATCHED_STRING "${POWER10_M_UPPER}")
-            string(REGEX REPLACE "POWER *([0-9]+)" "\\1" EXTRACTED_NUMBER "${MATCHED_STRING}")
-
-            if (EXTRACTED_NUMBER GREATER_EQUAL 10)
-                list(APPEND ARCH_FLAGS -mcpu=power10)
-            elseif (EXTRACTED_NUMBER EQUAL 9)
-                list(APPEND ARCH_FLAGS -mcpu=power9)
-            elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64le")
-                list(APPEND ARCH_FLAGS -mcpu=powerpc64le -mtune=native)
-            else()
-                list(APPEND ARCH_FLAGS -mcpu=native -mtune=native -mpowerpc64)
-            endif()
-        elseif(GGML_CPU_ALL_VARIANTS)
-            # Begin with the lowest baseline
-            set(ARCH_DEFINITIONS "")
-
-            # When a feature is selected, bump the MCPU to the first
-            # version that supported it
-            foreach(PVER RANGE 7 11)
-                if(DEFINED GGML_INTERNAL_POWER${PVER})
-                    set(POWERPC_MCPU "power${PVER}")
-                    list(APPEND ARCH_DEFINITIONS GGML_USE_POWER${PVER})
-                endif()
-            endforeach()
-            if (GGML_INTERNAL_VSX)
-                list(APPEND ARCH_DEFINITIONS GGML_USE_VSX)
-                list(APPEND ARCH_FLAGS -mvsx)
-            endif()
-
-            if (DEFINED POWERPC_MCPU)
-                list(APPEND ARCH_FLAGS -mcpu=${POWERPC_MCPU})
-            endif()
-            ggml_add_cpu_backend_features(${GGML_CPU_NAME} powerpc ${ARCH_DEFINITIONS})
-        else()
-            if (GGML_CPU_POWERPC_CPUTYPE)
-                list(APPEND ARCH_FLAGS -mcpu=${GGML_CPU_POWERPC_CPUTYPE})
-            endif()
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "loongarch64")
-        message(STATUS "loongarch64 detected")
-        list(APPEND GGML_CPU_SOURCES ggml-cpu/arch/loongarch/quants.c)
-
-        list(APPEND ARCH_FLAGS -march=loongarch64)
-        if (GGML_LASX)
-            list(APPEND ARCH_FLAGS -mlasx)
-        endif()
-        if (GGML_LSX)
-            list(APPEND ARCH_FLAGS -mlsx)
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "riscv64")
-        message(STATUS "riscv64 detected")
-        list(APPEND GGML_CPU_SOURCES
-            ggml-cpu/arch/riscv/quants.c
-            ggml-cpu/arch/riscv/repack.cpp
-            )
-        if (GGML_CPU_RISCV64_SPACEMIT)
-            target_compile_definitions(${GGML_CPU_NAME} PRIVATE GGML_USE_CPU_RISCV64_SPACEMIT ${RISCV64_SPACEMIT_IME_SPEC})
-            list(APPEND GGML_CPU_SOURCES
-                ggml-cpu/spacemit/ime.cpp
-                ggml-cpu/spacemit/ime.h
-                ggml-cpu/spacemit/ime1_kernels.cpp
-                ggml-cpu/spacemit/ime_kernels.h
-            )
-        endif()
-        if(NOT GGML_CPU_ALL_VARIANTS)
-            set(MARCH_STR "rv64gc")
-            if (GGML_RV_ZFH)
-                string(APPEND MARCH_STR "_zfh")
-            endif()
-
-            if (GGML_XTHEADVECTOR)
-                string(APPEND MARCH_STR "_xtheadvector")
-            elseif (GGML_RVV)
-                string(APPEND MARCH_STR "_v")
-                if (GGML_RV_ZVFH)
-                    string(APPEND MARCH_STR "_zvfh")
-                endif()
-                if (GGML_RV_ZVFBFWMA)
-                    string(APPEND MARCH_STR "_zvfbfwma")
-                endif()
-            endif()
-            if (GGML_RV_ZICBOP)
-                string(APPEND MARCH_STR "_zicbop")
-            endif()
-            if (GGML_RV_ZIHINTPAUSE)
-                string(APPEND MARCH_STR "_zihintpause")
-            endif()
-            list(APPEND ARCH_FLAGS "-march=${MARCH_STR}" -mabi=lp64d)
-        else()
-            # Begin with the lowest baseline
-            set(ARCH_DEFINITIONS "")
-
-            if (GGML_INTERNAL_RVV)
-                message(STATUS "RVV enabled")
-                list(APPEND ARCH_DEFINITIONS GGML_USE_RVV)
-                list(APPEND ARCH_FLAGS -march=rv64gc_v -mabi=lp64d)
-            endif()
-
-            ggml_add_cpu_backend_features(${GGML_CPU_NAME} riscv ${ARCH_DEFINITIONS})
-        endif()
-    elseif (GGML_SYSTEM_ARCH STREQUAL "s390x")
-        message(STATUS "s390x detected")
-        list(APPEND GGML_CPU_SOURCES
-            ggml-cpu/arch/s390/quants.c)
-
-        # for native compilation
-        if (GGML_NATIVE)
-            # check machine level to determine target
-            file(READ "/proc/cpuinfo" CPUINFO_CONTENTS)
-            string(REGEX REPLACE "machine[ \t\r\n]*=[ \t\r\n]*([0-9]+)" "\\1" S390X_M ${CPUINFO_CONTENTS})
-
-            # TODO: Separation to determine activation of VX/VXE/VXE2
-            if (${S390X_M} MATCHES "8561|8562")
-                message(STATUS "z15 target")
-                list(APPEND ARCH_FLAGS -march=z15)
-            elseif (${S390X_M} MATCHES "3931")
-                message(STATUS "z16 target")
-                list(APPEND ARCH_FLAGS -march=z16)
-            elseif (${S390X_M} MATCHES "9175|9176")
-                # NOTE: Only available from GCC 15.1.0 onwards. Any z17 machine with compile issues must first verify their GCC version.
-                #       binutils must also be updated to the latest for the -march=z17 flag to work. Otherwise, use -march=arch15.
-                message(STATUS "z17 target")
-                list(APPEND ARCH_FLAGS -march=arch15)
-            else()
-                message(STATUS "Unknown target")
-                message(WARNING "Unknown target. If you are compiling for z14 and earlier, you might have to add -DGGML_VXE=OFF.")
-                list(APPEND ARCH_FLAGS -march=native -mtune=native)
-            endif()
-        # for cross-compilation
-        elseif(GGML_CPU_ALL_VARIANTS)
-            # range through IBM z15 to z17
-            # NOTE: update when a new hardware level is released
-            foreach (ZHW RANGE 15 17)
-                if(DEFINED GGML_INTERNAL_Z${ZHW})
-                    message(STATUS "z${ZHW} cross-compile target")
-                    list(APPEND ARCH_FLAGS -march=z${ZHW})
-                endif()
-            endforeach()
-        endif()
-
-        if (GGML_VXE OR GGML_INTERNAL_VXE2)
-            message(STATUS "VXE2 enabled")
-            list(APPEND ARCH_FLAGS -mvx -mzvector)
-            list(APPEND ARCH_DEFINITIONS GGML_USE_VXE2)
-        endif()
-
-        if (GGML_INTERNAL_NNPA)
-            message(STATUS "NNPA enabled")
-            list(APPEND ARCH_DEFINITIONS GGML_USE_NNPA)
-        endif()
-
-        ggml_add_cpu_backend_features(${GGML_CPU_NAME} s390 ${ARCH_DEFINITIONS})
-    elseif (CMAKE_SYSTEM_PROCESSOR MATCHES "wasm")
-        message(STATUS "Wasm detected")
-        list (APPEND GGML_CPU_SOURCES ggml-cpu/arch/wasm/quants.c)
-    else()
-        message(WARNING "Unknown CPU architecture. Falling back to generic implementations.")
-        list(APPEND ARCH_FLAGS -DGGML_CPU_GENERIC)
-    endif()
-
-    if (GGML_CPU_REPACK)
-        target_compile_definitions(${GGML_CPU_NAME} PRIVATE GGML_USE_CPU_REPACK)
-    endif()
-
-    if (GGML_CPU_KLEIDIAI)
-        message(STATUS "Using KleidiAI optimized kernels if applicable")
-
-        # Disable the KleidiAI tests
-        set(KLEIDIAI_BUILD_TESTS  OFF)
-
-        # Fetch KleidiAI sources:
-        include(FetchContent)
-        set(KLEIDIAI_COMMIT_TAG "v1.22.0")
-        set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/archive/refs/tags/${KLEIDIAI_COMMIT_TAG}.tar.gz")
-        set(KLEIDIAI_ARCHIVE_MD5  "54049037570ab0ee0a0d126b2ba5ece1")
-
-        if (POLICY CMP0135)
-            cmake_policy(SET CMP0135 NEW)
-        endif()
-
-        # TODO: Use FetchContent_MakeAvailable with EXCLUDE_FROM_ALL after bumping minimum CMake version to 3.28+
-        # Using FetchContent_Populate instead to avoid EXCLUDE_FROM_ALL which requires CMake 3.28
-        FetchContent_Declare(KleidiAI_Download
-            URL ${KLEIDIAI_DOWNLOAD_URL}
-            DOWNLOAD_EXTRACT_TIMESTAMP NEW
-            URL_HASH MD5=${KLEIDIAI_ARCHIVE_MD5})
-
-        FetchContent_GetProperties(KleidiAI_Download
-            SOURCE_DIR  KLEIDIAI_SRC
-            POPULATED   KLEIDIAI_POPULATED)
-
-        if (NOT KLEIDIAI_POPULATED)
-            FetchContent_Populate(KleidiAI_Download)
-            FetchContent_GetProperties(KleidiAI_Download SOURCE_DIR KLEIDIAI_SRC)
-        endif()
-
-        add_compile_definitions(GGML_USE_CPU_KLEIDIAI)
-
-        list(APPEND GGML_CPU_SOURCES
-            ggml-cpu/kleidiai/kleidiai.cpp
-            ggml-cpu/kleidiai/kernels.cpp
-            ggml-cpu/kleidiai/kleidiai.h
-            ggml-cpu/kleidiai/kernels.h
-            )
-
-        # KleidiAI
-        include_directories(
-            ${KLEIDIAI_SRC}/
-            ${KLEIDIAI_SRC}/kai/
-            ${KLEIDIAI_SRC}/kai/ukernels/
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/)
-
-        set(ARCH_FLAGS_TEMP "${ARCH_FLAGS}")
-        if (NOT ARCH_FLAGS_TEMP)
-            string(REGEX MATCH "-march=[^ ]+" ARCH_FLAGS_TEMP "${CMAKE_C_FLAGS}")
-        endif()
-        string(FIND "${ARCH_FLAGS_TEMP}" "+dotprod" DOTPROD_ENABLED)
-        string(FIND "${ARCH_FLAGS_TEMP}" "+i8mm" I8MM_ENABLED)
-        string(FIND "${ARCH_FLAGS_TEMP}" "+sme" SME_ENABLED)
-        string(FIND "${ARCH_FLAGS_TEMP}" "+sve" SVE_ENABLED)
-
-        set(PRIVATE_ARCH_FLAGS ${ARCH_FLAGS_TEMP})
-
-        list(APPEND GGML_KLEIDIAI_SOURCES
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_quant_pack_qsi8d32p_f32.c
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_quant_pack_qsi8d32p4x8sb_f32_neon.c
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_rhs_pack_nxk_qsi4c32ps1s0scalef16_qsu4c32s16s0_neon.c
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_quant_pack_qsi8d32p_f32_neon.c
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0.c
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_quant_pack_qai8dxp_f32.c
-            ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_rhs_pack_nxk_qsi8cxp_qsi8cx_neon.c)
-
-        if (NOT DOTPROD_ENABLED MATCHES -1)
-            list(APPEND GGML_KLEIDIAI_SOURCES
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1x8_qsi4c32p4x8_1x4x32_neon_dotprod.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1x4_qsi4c32p4x4_1x4_neon_dotprod.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p4x4_qsi4c32p4x4_16x4_neon_dotprod.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp4x4_qsi8cxp4x4_16x4_neon_dotprod.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1x4_qsi8cxp4x4_1x4_neon_dotprod.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1x8_qsi8cxp4x8_1x4_neon_dotprod.c)
-        endif()
-
-        if (NOT I8MM_ENABLED MATCHES -1)
-            list(APPEND GGML_KLEIDIAI_SOURCES
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p4x8_qsi4c32p4x8_16x4_neon_i8mm.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp4x8_qsi8cxp4x8_16x4_neon_i8mm.c)
-        endif()
-
-        if (NOT SME_ENABLED MATCHES -1)
-            list(APPEND GGML_KLEIDIAI_SOURCES
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1x4_qsi4c32p4vlx4_1x4vl_sme2_sdot.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1vlx4_qsi8cxp4vlx4_1vlx4vl_sme2_mopa.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1vlx4_qsi8cxp4vlx4_1vlx4vl_sme2_mopa_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1x4_qsi8cxp4vlx4_1x4vl_sme2_dot.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1x4_qsi8cxp4vlx4_1x4vl_sme2_dot_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/kai_matmul_clamp_f32_bf16p2vlx2_bf16p2vlx2_2vlx2vl_sme2_mopa.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/kai_matmul_clamp_f32_bf16p2vlx2_bf16p2vlx2_2vlx2vl_sme2_mopa_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_pack_bf16p2vlx2_f32_sme.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_rhs_pack_kxn_bf16p2vlx2b_f32_x32_sme.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_pack_f16pmrx2_f32_neon.c
-                ${KLEIDIAI_SRC}/kai/kai_common_sme_asm.S)
-            set(PRIVATE_ARCH_FLAGS "-fno-tree-vectorize;${PRIVATE_ARCH_FLAGS}+sve+sve2+sme2+fp16")
-        endif()
-
-        if (NOT SVE_ENABLED MATCHES -1)
-            list(APPEND GGML_KLEIDIAI_SOURCES
-                ${KLEIDIAI_SRC}/kai/kai_common_sve_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1x8_qsi4c32p8x8_1x8_sve_dotprod_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1x8_qsi4c32p8x8_1x8_sve_dotprod.c
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p4x8_qsi4c32p8x8_16x8_sve_i8mm_asm.S
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p4x8_qsi4c32p8x8_16x8_sve_i8mm.c)
-        endif()
-
-        set_source_files_properties(${GGML_KLEIDIAI_SOURCES} PROPERTIES COMPILE_OPTIONS "${PRIVATE_ARCH_FLAGS}")
-        list(APPEND GGML_CPU_SOURCES ${GGML_KLEIDIAI_SOURCES})
-    endif()
-
-    message(STATUS "Adding CPU backend variant ${GGML_CPU_NAME}: ${ARCH_FLAGS} ${ARCH_DEFINITIONS}")
-    target_sources(${GGML_CPU_NAME} PRIVATE ${GGML_CPU_SOURCES})
-    target_compile_options(${GGML_CPU_NAME} PRIVATE ${ARCH_FLAGS})
-    target_compile_definitions(${GGML_CPU_NAME} PRIVATE ${ARCH_DEFINITIONS})
-
-    if (EMSCRIPTEN)
-        set_target_properties(${GGML_CPU_NAME} PROPERTIES COMPILE_FLAGS "-msimd128")
-    endif()
-
-    if (CMAKE_CXX_COMPILER_ID STREQUAL "IntelLLVM")
-        # The compiler automatically enables "-ffast-math" which can cause NaNs in tests due to "-fassociative-math"
-        target_compile_options(${GGML_CPU_NAME} PRIVATE "-fno-associative-math")
-    endif()
-endfunction()
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8438a9a9c3c6a92e4022edcecda222982db679ddd5c6d6dd7a0a13cb173ada0
+size 34229
diff --git a/ggml/src/ggml-cpu/amx/amx.cpp b/ggml/src/ggml-cpu/amx/amx.cpp
index 9baf3e025e6cc48032a93c4dbea8b17a12f80dce..1118f7169c9273cd5b1b15e3cd8d38af570f435f 100644
--- a/ggml/src/ggml-cpu/amx/amx.cpp
+++ b/ggml/src/ggml-cpu/amx/amx.cpp
@@ -111,6 +111,8 @@ static ggml_backend_buffer_i ggml_backend_amx_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_amx_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_amx_buffer_set_tensor,
     /* .get_tensor      = */ nullptr,
+    /* .set_tensor_2d   = */ nullptr,
+    /* .get_tensor_2d   = */ nullptr,
     /* .cpy_tensor      = */ nullptr,
     /* .clear           = */ ggml_backend_amx_buffer_clear,
     /* .reset           = */ nullptr,
diff --git a/ggml/src/ggml-cpu/arch-fallback.h b/ggml/src/ggml-cpu/arch-fallback.h
index 41da829315b65b7768445a2cb170a5105987c95a..595ded09f03f13bf7ca93dd85fb9ee929f3b951b 100644
--- a/ggml/src/ggml-cpu/arch-fallback.h
+++ b/ggml/src/ggml-cpu/arch-fallback.h
@@ -16,6 +16,7 @@
 #define ggml_vec_dot_q8_0_q8_0_generic ggml_vec_dot_q8_0_q8_0
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
@@ -112,6 +113,7 @@
 // quants.c
 #define quantize_row_q8_K_generic quantize_row_q8_K
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
@@ -160,6 +162,7 @@
 #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
@@ -200,6 +203,7 @@
 #elif defined(__riscv)
 // quants.c
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x1_generic ggml_quantize_mat_q8_0_4x1
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
@@ -240,6 +244,7 @@
 // quants.c
 #define quantize_row_q8_K_generic quantize_row_q8_K
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
@@ -303,6 +308,7 @@
 #define ggml_vec_dot_iq4_xs_q8_K_generic ggml_vec_dot_iq4_xs_q8_K
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
diff --git a/ggml/src/ggml-cpu/arch/arm/quants.c b/ggml/src/ggml-cpu/arch/arm/quants.c
index 82b048bb3ae4004c6cb847f6c7dabc082fda9829..fe621332970829fc446107cdc3ef3b06eff81ee7 100644
--- a/ggml/src/ggml-cpu/arch/arm/quants.c
+++ b/ggml/src/ggml-cpu/arch/arm/quants.c
@@ -137,6 +137,89 @@ void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, in
 
 //===================================== Dot products =================================
 
+void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    const int qk = QK1_0;  // 128
+    const int nb = n / qk;
+
+    assert(n % qk == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_q1_0 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+#if defined(__ARM_NEON)
+    float32x4_t sumv = vdupq_n_f32(0.0f);
+
+    for (int i = 0; i < nb; i++) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[i].d);
+
+        // Process 4 Q8_0 blocks (each has 32 elements)
+        for (int k = 0; k < 4; k++) {
+            const block_q8_0 * GGML_RESTRICT yb = &y[i * 4 + k];
+            const float d1 = GGML_CPU_FP16_TO_FP32(yb->d);
+
+            // Get the 4 bytes of bits for this Q8_0 block (32 bits = 4 bytes)
+            // Bits are at offset k*4 bytes in x[i].qs
+            const uint8_t * bits = &x[i].qs[k * 4];
+
+            // Load 32 int8 values from y
+            const int8x16_t y0 = vld1q_s8(yb->qs);
+            const int8x16_t y1 = vld1q_s8(yb->qs + 16);
+
+            // Byte 0-1: bits for y0[0..15]
+            const uint64_t expand0 = table_b2b_0[bits[0]];
+            const uint64_t expand1 = table_b2b_0[bits[1]];
+            // Byte 2-3: bits for y1[0..15]
+            const uint64_t expand2 = table_b2b_0[bits[2]];
+            const uint64_t expand3 = table_b2b_0[bits[3]];
+
+            // Build the sign vectors by reinterpreting the table values
+            uint8x8_t e0 = vcreate_u8(expand0);
+            uint8x8_t e1 = vcreate_u8(expand1);
+            uint8x8_t e2 = vcreate_u8(expand2);
+            uint8x8_t e3 = vcreate_u8(expand3);
+
+            // Shift right by 4 to get 0 or 1
+            int8x8_t s0 = vreinterpret_s8_u8(vshr_n_u8(e0, 4));
+            int8x8_t s1 = vreinterpret_s8_u8(vshr_n_u8(e1, 4));
+            int8x8_t s2 = vreinterpret_s8_u8(vshr_n_u8(e2, 4));
+            int8x8_t s3 = vreinterpret_s8_u8(vshr_n_u8(e3, 4));
+
+            // Convert 0/1 to -1/+1: sign = 2*val - 1
+            int8x8_t one = vdup_n_s8(1);
+            s0 = vsub_s8(vadd_s8(s0, s0), one);  // 2*s0 - 1
+            s1 = vsub_s8(vadd_s8(s1, s1), one);
+            s2 = vsub_s8(vadd_s8(s2, s2), one);
+            s3 = vsub_s8(vadd_s8(s3, s3), one);
+
+            // Combine into 16-element vectors
+            int8x16_t signs0 = vcombine_s8(s0, s1);
+            int8x16_t signs1 = vcombine_s8(s2, s3);
+
+            // Multiply signs with y values and accumulate
+            // dot(signs, y) where signs are +1/-1
+            int32x4_t p0 = ggml_vdotq_s32(vdupq_n_s32(0), signs0, y0);
+            int32x4_t p1 = ggml_vdotq_s32(p0, signs1, y1);
+
+            // Scale by d1 and accumulate
+            sumv = vmlaq_n_f32(sumv, vcvtq_f32_s32(p1), d0 * d1);
+        }
+    }
+
+    *s = vaddvq_f32(sumv);
+#else
+    UNUSED(nb);
+    UNUSED(x);
+    UNUSED(y);
+    ggml_vec_dot_q1_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
@@ -680,6 +763,7 @@ void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         const int8x16_t q4_lo_1 = ggml_vqtbl1q_s8(values, vandq_u8  (q4bits_1, m4b));
         const int8x16_t q4_hi_1 = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits_1, 4));
 
+#if defined(__ARM_FEATURE_DOTPROD)
         const int8x16_t q8_0a = vld1q_s8(y[2*ib].qs);
         const int8x16_t q8_0b = vld1q_s8(y[2*ib].qs + 16);
         const int8x16_t q8_lo_0 = vcombine_s8(vget_low_s8(q8_0a), vget_low_s8(q8_0b));
@@ -691,15 +775,40 @@ void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         const int8x16_t q8_hi_1 = vcombine_s8(vget_high_s8(q8_1a), vget_high_s8(q8_1b));
 
         const int32x4_t p0 = vaddq_s32(
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_0, q8_lo_0),
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_0, q8_hi_0));
+            vdotq_s32(vdupq_n_s32(0), q4_lo_0, q8_lo_0),
+            vdotq_s32(vdupq_n_s32(0), q4_hi_0, q8_hi_0));
         const int32x4_t p1 = vaddq_s32(
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_1, q8_lo_1),
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_1, q8_hi_1));
+            vdotq_s32(vdupq_n_s32(0), q4_lo_1, q8_lo_1),
+            vdotq_s32(vdupq_n_s32(0), q4_hi_1, q8_hi_1));
 
-        const int32x4_t sums = vpaddq_s32(p0, p1);
+        const int32x4_t sumi = vpaddq_s32(p0, p1);
+#else
+        const int8x8_t q4_0_lo = vget_low_s8(q4_lo_0);
+        const int8x8_t q4_0_hi = vget_low_s8(q4_hi_0);
+        const int8x8_t q4_1_lo = vget_high_s8(q4_lo_0);
+        const int8x8_t q4_1_hi = vget_high_s8(q4_hi_0);
+        const int8x8_t q4_2_lo = vget_low_s8(q4_lo_1);
+        const int8x8_t q4_2_hi = vget_low_s8(q4_hi_1);
+        const int8x8_t q4_3_lo = vget_high_s8(q4_lo_1);
+        const int8x8_t q4_3_hi = vget_high_s8(q4_hi_1);
+
+        const int8x8_t q8_0_lo = vld1_s8(y[2*ib].qs);
+        const int8x8_t q8_0_hi = vld1_s8(y[2*ib].qs + 8);
+        const int8x8_t q8_1_lo = vld1_s8(y[2*ib].qs + 16);
+        const int8x8_t q8_1_hi = vld1_s8(y[2*ib].qs + 24);
+        const int8x8_t q8_2_lo = vld1_s8(y[2*ib+1].qs);
+        const int8x8_t q8_2_hi = vld1_s8(y[2*ib+1].qs + 8);
+        const int8x8_t q8_3_lo = vld1_s8(y[2*ib+1].qs + 16);
+        const int8x8_t q8_3_hi = vld1_s8(y[2*ib+1].qs + 24);
+
+        const int32x4_t sumi = (int32x4_t){
+            vaddvq_s32(ggml_nvfp4_dot8(q4_0_lo, q8_0_lo, q4_0_hi, q8_0_hi)),
+            vaddvq_s32(ggml_nvfp4_dot8(q4_1_lo, q8_1_lo, q4_1_hi, q8_1_hi)),
+            vaddvq_s32(ggml_nvfp4_dot8(q4_2_lo, q8_2_lo, q4_2_hi, q8_2_hi)),
+            vaddvq_s32(ggml_nvfp4_dot8(q4_3_lo, q8_3_lo, q4_3_hi, q8_3_hi)),
+        };
+#endif
 
-        // Decode 4 UE4M3 scales to f32 and multiply with q8 scales
         const float dy0 = GGML_CPU_FP16_TO_FP32(y[2*ib].d);
         const float dy1 = GGML_CPU_FP16_TO_FP32(y[2*ib+1].d);
         const float32x4_t nvsc = {
@@ -710,7 +819,7 @@ void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         };
         const float32x4_t scales = vmulq_f32(nvsc, (float32x4_t){dy0, dy0, dy1, dy1});
 
-        acc = vfmaq_f32(acc, vcvtq_f32_s32(sums), scales);
+        acc = vfmaq_f32(acc, vcvtq_f32_s32(sumi), scales);
     }
     sumf = vaddvq_f32(acc);
 #else
diff --git a/ggml/src/ggml-cpu/arch/loongarch/quants.c b/ggml/src/ggml-cpu/arch/loongarch/quants.c
index f531e916b9e5822acf7a3fb988d1f9ba03b05fc8..74e0c086c6dedee59a3a344143f868b7465eb9af 100644
--- a/ggml/src/ggml-cpu/arch/loongarch/quants.c
+++ b/ggml/src/ggml-cpu/arch/loongarch/quants.c
@@ -2156,4 +2156,3 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
     ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/powerpc/quants.c b/ggml/src/ggml-cpu/arch/powerpc/quants.c
index d3dfd049eaf14cb0ccf39838bb031dad998803a9..644c380c7381e78c7488e735806d2d0beb9c23e3 100644
--- a/ggml/src/ggml-cpu/arch/powerpc/quants.c
+++ b/ggml/src/ggml-cpu/arch/powerpc/quants.c
@@ -2302,4 +2302,3 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
     ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/riscv/quants.c b/ggml/src/ggml-cpu/arch/riscv/quants.c
index d7e9ba4634846dff73c307235d6fb20177366d46..d3278d6489fd34083b5f19382ecefc817669c7a0 100644
--- a/ggml/src/ggml-cpu/arch/riscv/quants.c
+++ b/ggml/src/ggml-cpu/arch/riscv/quants.c
@@ -15,6 +15,12 @@
 #include <stdlib.h> // for qsort
 #include <stdio.h>  // for GGML_ASSERT
 
+#ifdef _MSC_VER
+#define NOINLINE __declspec(noinline)
+#else
+#define NOINLINE __attribute__((__noinline__))
+#endif
+
 #define GROUP_MAX_EPS 1e-15f
 #define GROUP_MAX_EPS_IQ3_XXS 1e-8f
 #define GROUP_MAX_EPS_IQ2_S 1e-8f
@@ -117,7 +123,7 @@ void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, in
     assert(k % QK_K == 0);
     size_t nb = k / QK_K;
 
-#if defined(__riscv_v_intrinsic)
+#if defined __riscv_v_intrinsic
     block_q8_K * y_blocks = (block_q8_K *)y;
     const size_t vlmax_f32m8 = __riscv_vsetvlmax_e32m8();
 
@@ -2053,7 +2059,119 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq1_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq1_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0;
+    for (int i = 0; i < nb; ++i) {
+        // Load qh once for the entire superblock.
+        vuint16m1_t qh = __riscv_vle16_v_u16m1(x[i].qh, 8);
+
+        // Calculate ls.
+        vuint16m1_t temp = __riscv_vsrl_vx_u16m1(qh, 12, 8);
+        temp = __riscv_vand_vx_u16m1(temp, 7, 8);
+        vint32m2_t ls = __riscv_vreinterpret_v_u32m2_i32m2(__riscv_vwmulu_vx_u32m2(temp, 2, 8));
+        ls = __riscv_vadd_vx_i32m2(ls, 1, 8);
+
+        // Calculate delta.
+        vbool16_t mask = __riscv_vmseq_vx_u16m1_b16(__riscv_vand_vx_u16m1(qh, 0x8000, 8), 0, 8);
+        vint32m2_t delta_neg = __riscv_vmv_v_x_i32m2(-1, 8);
+        vint32m2_t delta_pos = __riscv_vmv_v_x_i32m2(1, 8);
+        vint32m2_t delta = __riscv_vmerge_vvm_i32m2(delta_neg, delta_pos, mask, 8);
+
+        // Load qs.
+        vuint8m2_t qs = __riscv_vle8_v_u8m2(x[i].qs, 32);
+
+        // Prepare the indices.
+        const uint64_t shift = 0x0009000600030000;
+        vuint16m4_t qh_shift = __riscv_vreinterpret_v_u64m4_u16m4(__riscv_vmv_v_x_u64m4(shift, 8));
+        vuint16m4_t qh_gather_index = __riscv_vreinterpret_v_i16m4_u16m4(
+            __riscv_vdiv_vx_i16m4(__riscv_vreinterpret_v_u16m4_i16m4(__riscv_vid_v_u16m4(32)), 4, 32));
+        vuint16m4_t qh_ext = __riscv_vlmul_ext_v_u16m2_u16m4(__riscv_vlmul_ext_v_u16m1_u16m2(qh));
+        vuint16m4_t qh_index = __riscv_vrgather_vv_u16m4(qh_ext, qh_gather_index, 32);
+        qh_index = __riscv_vsrl_vv_u16m4(qh_index, qh_shift, 32);
+        qh_index = __riscv_vand_vx_u16m4(qh_index, 7, 32);
+        qh_index = __riscv_vsll_vx_u16m4(qh_index, 8, 32);
+        qh_index = __riscv_vor_vv_u16m4(qh_index, __riscv_vzext_vf2_u16m4(qs, 32), 32);
+        vuint16m4_t index = __riscv_vsll_vx_u16m4(qh_index, 3, 32);
+
+        // Final lsums.
+        int32_t lsums_s[8];
+        vint32m1_t one_scalar = __riscv_vmv_v_x_i32m1(0, 1);
+
+        // Sub-blocks 1-2
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 0);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[0], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[0] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[1] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 3-4
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 1);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[64], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[2] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[3] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 5-6
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 2);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[128], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[4] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[5] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 7-8
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 3);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[192], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[6] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[7] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        vint32m2_t lsums = __riscv_vle32_v_i32m2(&lsums_s[0], 8);
+
+        // Calculate the bsums.
+        vint16m2_t bsums_0 = __riscv_vle16_v_i16m2(y[i].bsums, 16);
+        const vuint32m2_t bsums_i32 = __riscv_vreinterpret_v_u16m2_u32m2(__riscv_vreinterpret_v_i16m2_u16m2(bsums_0));
+        const vint16m1_t bsums_i32_0 = __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vnsrl_wx_u16m1(bsums_i32, 0, 8));
+        const vint16m1_t bsums_i32_1 = __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vnsrl_wx_u16m1(bsums_i32, 16, 8));
+        const vint32m2_t bsums = __riscv_vwadd_vv_i32m2(bsums_i32_0, bsums_i32_1, 8);
+
+        // Accumulation.
+        vint32m2_t sumi_v = __riscv_vmul_vv_i32m2(ls, lsums, 8);
+        vint32m2_t sumi1_v = __riscv_vmul_vv_i32m2(__riscv_vmul_vv_i32m2(ls, delta, 8), bsums, 8);
+
+        // Update sumf.
+        int sumi = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m2_i32m1(sumi_v, __riscv_vmv_v_x_i32m1(0.0f, 1), 8));
+        int sumi1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m2_i32m1(sumi1_v, __riscv_vmv_v_x_i32m1(0.0f, 1), 8));
+        sumf += GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d * (sumi + IQ1S_DELTA * sumi1);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2153,6 +2271,9 @@ static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq1_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq1_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -2166,7 +2287,174 @@ void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq1_m_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq1_m * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    iq1m_scale_t scale;
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        const int8_t   * q8 = y[i].qs;
+        const uint8_t  * qs = x[i].qs;
+        const uint8_t  * qh = x[i].qh;
+        const uint16_t * sc = (const uint16_t *)x[i].scales;
+
+        scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
+
+        // Accumulators.
+        vint32m4_t acc1 = __riscv_vmv_v_x_i32m4(0, 16);
+        vint32m4_t acc2 = __riscv_vmv_v_x_i32m4(0, 16);
+
+        // We process 8 16-element sub-blocks together.
+        #pragma GCC unroll 1
+        for (int ib = 0; ib < QK_K/128; ib++) {
+            // Load qh for 8 sub-blocks.
+            const vuint8mf2_t qh_8 = __riscv_vle8_v_u8mf2(qh, 8);
+            const vuint16m1_t qh_16_lo = __riscv_vzext_vf2_u16m1(qh_8, 8);
+            const vuint16m1_t qh_16_hi = __riscv_vsll_vx_u16m1(qh_16_lo, 8, 8);
+            const vuint16m2_t qhb = __riscv_vzext_vf2_u16m2(
+                __riscv_vreinterpret_v_u16m1_u8m1(__riscv_vor_vv_u16m1(qh_16_lo, qh_16_hi, 8)), 16);
+            qh += 8;
+
+            // Prepare grid indices.
+            const vuint16m2_t qsb = __riscv_vzext_vf2_u16m2(__riscv_vle8_v_u8m1(&qs[0], 16), 16);
+            const vuint16m2_t shift = __riscv_vreinterpret_v_u32m2_u16m2(__riscv_vmv_v_x_u32m2(0x00040008, 8));
+            vuint16m2_t index = __riscv_vor_vv_u16m2(qsb, __riscv_vand_vx_u16m2(__riscv_vsll_vv_u16m2(qhb, shift, 16), 0x700, 16), 16);
+            index = __riscv_vsll_vx_u16m2(index, 3, 16);
+            qs += 16;
+
+            // Prepare the deltas.
+            const vbool8_t mask = __riscv_vmsgtu_vx_u16m2_b8(
+                __riscv_vand_vv_u16m2(qhb, __riscv_vreinterpret_v_u32m2_u16m2(__riscv_vmv_v_x_u32m2(0x00800008, 8)), 16), 0, 16);
+            const vint64m8_t delta_pos = __riscv_vmv_v_x_i64m8(0x0101010101010101, 16);
+            const vint8m8_t delta = __riscv_vreinterpret_v_i64m8_i8m8(
+                __riscv_vmerge_vxm_i64m8(delta_pos, 0xffffffffffffffff, mask, 16));
+
+            // Sub-blocks 0-3
+            {
+                // Load the grid.
+                const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
+                    __riscv_vluxei16_v_u64m4(iq1s_grid, __riscv_vget_v_u16m2_u16m1(index, 0), 8)));
+
+                // Calculate the lsums.
+                //
+                // Sub-block 0, 1
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 0), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 0), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 0) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 3) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                __asm__ __volatile__("" ::: "memory");
+                // Sub-block 2, 3
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 1), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 1), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 6) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 9) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                sc += 1;
+            }
+            __asm__ __volatile__("" ::: "memory");
+            // Sub-blocks 4-7
+            {
+                // Load the grid.
+                const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
+                    __riscv_vluxei16_v_u64m4(iq1s_grid, __riscv_vget_v_u16m2_u16m1(index, 1), 8)));
+
+                // Calculate the lsums.
+                //
+                // Sub-block 4, 5
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 0), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 2), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 0) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 3) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                __asm__ __volatile__("" ::: "memory");
+                // Sub-block 6, 7
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 1), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 3), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 6) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 9) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                sc += 1;
+            }
+        }
+
+        // Reduce and accumulate in `sumf`.
+        vint32m1_t one = __riscv_vmv_v_x_i32m1(0, 1);
+        int sumi1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m4_i32m1(acc1, one, 16));
+        int sumi2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m4_i32m1(acc2, one, 16));
+        sumf += y[i].d * GGML_CPU_FP16_TO_FP32(scale.f16) * (sumi1 + IQ1M_DELTA * sumi2);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2193,9 +2481,10 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
         vint32m2_t acc1 = __riscv_vmv_v_x_i32m2(0, 16);
         vint32m2_t acc2 = __riscv_vmv_v_x_i32m2(0, 16);
 
-        // We process 4 sub-blocks together.
+        // We process 8 16-element sub-blocks together.
+        #pragma GCC unroll 1
         for (int ib = 0; ib < QK_K/128; ib++) {
-            // Load qh for 4 sub-blocks.
+            // Load qh for 8 sub-blocks.
             const vuint8mf4_t qh_8 = __riscv_vle8_v_u8mf4(qh, 8);
             const vuint16mf2_t qh_16_lo = __riscv_vzext_vf2_u16mf2(qh_8, 8);
             const vuint16mf2_t qh_16_hi = __riscv_vsll_vx_u16mf2(qh_16_lo, 8, 8);
@@ -2203,6 +2492,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
                 __riscv_vreinterpret_v_u16mf2_u8mf2(__riscv_vor_vv_u16mf2(qh_16_lo, qh_16_hi, 8)), 16);
             qh += 8;
 
+            __asm__ __volatile__("" ::: "memory");
+
             // Prepare grid indices.
             const vuint16m1_t qsb = __riscv_vzext_vf2_u16m1(__riscv_vle8_v_u8mf2(&qs[0], 16), 16);
             const vuint16m1_t shift = __riscv_vreinterpret_v_u32m1_u16m1(__riscv_vmv_v_x_u32m1(0x00040008, 8));
@@ -2210,6 +2501,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             index = __riscv_vsll_vx_u16m1(index, 3, 16);
             qs += 16;
 
+            __asm__ __volatile__("" ::: "memory");
+
             // Load the grid.
             const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
                 __riscv_vluxei16_v_u64m4(iq1s_grid, index, 16)));
@@ -2218,9 +2511,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             const vbool16_t mask = __riscv_vmsgtu_vx_u16m1_b16(
                 __riscv_vand_vv_u16m1(qhb, __riscv_vreinterpret_v_u32m1_u16m1(__riscv_vmv_v_x_u32m1(0x00800008, 8)), 16), 0, 16);
             const vint64m4_t delta_pos = __riscv_vmv_v_x_i64m4(0x0101010101010101, 16);
-            const vint64m4_t delta_neg = __riscv_vmv_v_x_i64m4(0xffffffffffffffff, 16);
             const vint8m4_t delta = __riscv_vreinterpret_v_i64m4_i8m4(
-                __riscv_vmerge_vvm_i64m4(delta_pos, delta_neg, mask, 16));
+                __riscv_vmerge_vxm_i64m4(delta_pos, 0xffffffffffffffff, mask, 16));
 
             // Load q8 for sub-blocks.
             const vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
@@ -2261,6 +2553,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_3_1, __riscv_vget_v_i16m8_i16m1(lsum1, 7), 16);
             acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_3_0, __riscv_vget_v_i16m8_i16m1(lsum2, 6), 16);
             acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_3_1, __riscv_vget_v_i16m8_i16m1(lsum2, 7), 16);
+
+            __asm__ __volatile__("" ::: "memory");
         }
 
         // Reduce and accumulate in `sumf`.
@@ -2277,6 +2571,9 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_iq1_m_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq1_m_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq1_m_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -2300,8 +2597,7 @@ static const uint8_t sign_bit_masks_arr[64] = {
     1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128
 };
 
-
-static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
 
@@ -2392,7 +2688,7 @@ static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t
     *s = 0.125f * sumf;
 }
 
-static void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
 
@@ -2513,7 +2809,7 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 #endif
 }
 
-#if defined(__riscv_v_intrinsic)
+#if defined __riscv_v_intrinsic
 static const int8_t keven_signs_q2xs[1024] = {
      1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1, -1,  1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1,  1,  1,
      1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1,  1,  1,  1, -1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1, -1,
@@ -2549,7 +2845,84 @@ static const int8_t keven_signs_q2xs[1024] = {
      1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1,  1,  1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1, -1,
 };
 
-static void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_xs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq2_xs * GGML_RESTRICT x = vx;
+    const block_q8_K   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint64_t * grid64  = (const uint64_t *)iq2xs_grid;
+
+    float sumf = 0.0f;
+#pragma GCC unroll 1
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * GGML_RESTRICT qs = x[i].qs;
+        const int8_t   * GGML_RESTRICT q8 = y[i].qs;
+        const uint8_t  * GGML_RESTRICT scales = x[i].scales;
+
+        int32_t sum_int = 0;
+
+        // Loop over 4 subblocks of 64 elements
+        for (int ib64 = 0; ib64 < QK_K / 64; ++ib64) {
+
+            // Load indices.
+            vuint16m1_t v_qs = __riscv_vle16_v_u16m1(qs, 8);
+            qs += 8;
+
+            // Prepare offsets
+            vuint16m1_t vidx_grid = __riscv_vsll_vx_u16m1(__riscv_vand_vx_u16m1(v_qs, 511, 8), 3, 8);
+            vuint16m1_t vidx_sign = __riscv_vsll_vx_u16m1(__riscv_vsrl_vx_u16m1(v_qs, 9, 8), 3, 8);
+
+            // load values and signs from the lookup tables
+            vuint64m4_t vq2_64 = __riscv_vluxei16_v_u64m4(grid64, vidx_grid, 8);
+            vuint64m4_t vs2_64 = __riscv_vluxei16_v_u64m4(signs64, vidx_sign, 8);
+            vint8m4_t q2u = __riscv_vreinterpret_v_u8m4_i8m4(__riscv_vreinterpret_v_u64m4_u8m4(vq2_64));
+            vint8m4_t q2s = __riscv_vreinterpret_v_u8m4_i8m4(__riscv_vreinterpret_v_u64m4_u8m4(vs2_64));
+            vint8m4_t q2_final = __riscv_vmul_vv_i8m4(q2u, q2s, 64);
+            asm volatile("" ::: "memory");
+            vint8m4_t q8v = __riscv_vle8_v_i8m4(q8, 64);
+            q8 += 64;
+
+            vint16m8_t prod = __riscv_vwmul_vv_i16m8(q2_final, q8v, 64);
+            asm volatile("" ::: "memory");
+            vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1);
+
+            int32_t sum0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 0), zero_vec, 16));
+
+            int32_t sum1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 1), zero_vec, 16));
+
+            int32_t sum2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 2), zero_vec, 16));
+
+            int32_t sum3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 3), zero_vec, 16));
+
+            const uint8_t scale_byte_1 = scales[0];
+            const uint8_t scale_byte_2 = scales[1];
+            scales += 2;
+
+            sum_int += sum0 * ((scale_byte_1 & 0x0F) * 2 + 1);
+            sum_int += sum1 * ((scale_byte_1 >> 4)   * 2 + 1);
+            sum_int += sum2 * ((scale_byte_2 & 0x0F) * 2 + 1);
+            sum_int += sum3 * ((scale_byte_2 >> 4)   * 2 + 1);
+        }
+
+        sumf += d * sum_int;
+    }
+    *s = 0.125f * sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2628,6 +3001,9 @@ static void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 void ggml_vec_dot_iq2_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
       switch (__riscv_vlenb() * 8) {
+          case 128:
+              ggml_vec_dot_iq2_xs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+              break;
           case 256:
               ggml_vec_dot_iq2_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
               break;
@@ -2641,7 +3017,7 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2732,7 +3108,7 @@ static void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size
     *s = 0.125f * sumf;
 }
 
-static void ggml_vec_dot_iq2_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2833,7 +3209,7 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const
         case 128:
             ggml_vec_dot_iq2_xxs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
             break;
-        default:
+        default: // 256 and above
             ggml_vec_dot_iq2_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
     }
@@ -2843,7 +3219,102 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq3_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
+    const block_iq3_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint32_t * grid32 = (const uint32_t *)iq3s_grid;
+
+    vuint8mf2_t v_id_8  = __riscv_vid_v_u8mf2(8);
+    vuint8m2_t  v_id_32 = __riscv_vid_v_u8m2(32);
+
+    // Keeping these in a tight scope to hint they're only needed for the mask computation.
+    vuint8m2_t v_sign_gather_indices, v_sign_masks;
+    {
+        vuint8m2_t v_shifts  = __riscv_vand_vx_u8m2(v_id_32, 7, 32);
+        vuint8m2_t v_one_32  = __riscv_vmv_v_x_u8m2(1, 32);
+        v_sign_gather_indices = __riscv_vsrl_vx_u8m2(v_id_32, 3, 32);
+        v_sign_masks          = __riscv_vsll_vv_u8m2(v_one_32, v_shifts, 32);
+    }
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d              = GGML_CPU_FP16_TO_FP32(x[i].d);
+        const float combined_scale = d * y[i].d;
+
+        const uint8_t * GGML_RESTRICT qs     = x[i].qs;
+        const uint8_t * GGML_RESTRICT qh     = x[i].qh;
+        const uint8_t * GGML_RESTRICT scales = x[i].scales;
+        const uint8_t * GGML_RESTRICT signs  = x[i].signs;
+        const int8_t  * GGML_RESTRICT q8     = y[i].qs;
+
+        float sum_block = 0.0f;
+
+        for (int ib = 0; ib < 8; ++ib) {
+
+            // Grid lookup
+            vuint8m2_t v_grid_u8;
+            {
+                vuint8mf2_t v_qs_u8 = __riscv_vle8_v_u8mf2(qs, 8);
+                qs += 8;
+
+                uint8_t     qh_val   = *qh++;
+                vuint8mf2_t v_qh_val = __riscv_vmv_v_x_u8mf2(qh_val, 8);
+                v_qh_val = __riscv_vsrl_vv_u8mf2(v_qh_val, v_id_8, 8);
+                v_qh_val = __riscv_vand_vx_u8mf2(v_qh_val, 1, 8);
+
+                vuint16m1_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qs_u8, 8);
+                v_qs_u16 = __riscv_vsll_vx_u16m1(v_qs_u16, 2, 8);
+
+                vuint16m1_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qh_val, 8);
+                v_qh_u16 = __riscv_vsll_vx_u16m1(v_qh_u16, 10, 8);
+
+                vuint16m1_t v_grid_offsets = __riscv_vor_vv_u16m1(v_qs_u16, v_qh_u16, 8);
+
+                vuint32m2_t v_grid_packed = __riscv_vluxei16_v_u32m2(grid32, v_grid_offsets, 8);
+                v_grid_u8 = __riscv_vreinterpret_v_u32m2_u8m2(v_grid_packed);
+            }
+            __asm__ volatile ("" ::: "memory");
+
+            //Sign application and dot product
+            int32_t s_val;
+            {
+                vuint8mf4_t v_signs_raw  = __riscv_vle8_v_u8mf4(signs, 4);
+                signs += 4;
+
+                vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw);
+                vuint8m2_t v_signs_bcast  = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 32);
+                vuint8m2_t v_sign_bits    = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 32);
+                vbool4_t   m_negative     = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 32);
+
+                vint8m2_t v_q8        = __riscv_vle8_v_i8m2(q8, 32);
+                q8 += 32;
+
+                vint8m2_t  v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 32);
+                vint16m4_t v_dot       = __riscv_vwmulsu_vv_i16m4(v_q8_signed, v_grid_u8, 32);
+
+                vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+                s_val = __riscv_vmv_x_s_i32m1_i32(
+                    __riscv_vwredsum_vs_i16m4_i32m1(v_dot, v_zero, 32));
+            }
+            __asm__ volatile ("" ::: "memory");
+            {
+                uint8_t sc_byte = scales[ib >> 1];
+                int sc_val = (ib & 1) ? (sc_byte >> 4) : (sc_byte & 0xF);
+                sc_val = sc_val * 2 + 1;
+                sum_block += (float)(s_val * sc_val);
+            }
+        }
+        sumf += sum_block * combined_scale;
+    }
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     UNUSED(nrc);
     UNUSED(bx);
@@ -2942,6 +3413,9 @@ static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+             ggml_vec_dot_iq3_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq3_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -2955,7 +3429,100 @@ void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq3_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
+
+    const block_iq3_xxs * GGML_RESTRICT x = vx;
+    const block_q8_K    * GGML_RESTRICT y = vy;
+    const int nb = n / QK_K;
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint32_t * grid32  = (const uint32_t *)iq3xxs_grid;
+
+    // constants for unpacking logic
+    const uint32_t shifts_val[8] = {0, 7, 14, 21, 0, 7, 14, 21};
+    vuint32m2_t v_shifts = __riscv_vle32_v_u32m2(shifts_val, 8);
+
+    const uint32_t gather_idx_val[8] = {0, 0, 0, 0, 1, 1, 1, 1};
+    vuint32m2_t v_gather_idx = __riscv_vle32_v_u32m2(gather_idx_val, 8);
+
+    uint32_t aux32[2];
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t * GGML_RESTRICT q3_indices = x[i].qs;
+        const uint8_t * GGML_RESTRICT metadata   = x[i].qs + QK_K/4;
+        const int8_t  * GGML_RESTRICT q8         = y[i].qs;
+
+        float block_sum = 0.0f;
+
+        // Process 64 weights per loop
+        for (int ib = 0; ib < QK_K / 64; ++ib) {
+
+            // load of metadata via memcpy
+            memcpy(aux32, metadata, 2 * sizeof(uint32_t));
+            metadata += 2 * sizeof(uint32_t);
+
+            vuint8m1_t v_q3_idx_u8 = __riscv_vle8_v_u8m1(q3_indices, 16);
+            q3_indices += 16;
+
+            vuint16m2_t v_q3_idx_u16 = __riscv_vwmulu_vx_u16m2(v_q3_idx_u8, 4, 16);
+
+            vuint32m4_t v_q3_magnitudes_u32 = __riscv_vluxei16_v_u32m4(grid32, v_q3_idx_u16, 16);
+
+            vint8m4_t v_q3_magnitudes = __riscv_vreinterpret_v_u8m4_i8m4(
+                                        __riscv_vreinterpret_v_u32m4_u8m4(v_q3_magnitudes_u32));
+
+            vuint32m2_t v_aux = __riscv_vle32_v_u32m2(aux32, 2);
+
+            vuint32m2_t v_aux_expanded = __riscv_vrgather_vv_u32m2(v_aux, v_gather_idx, 8);
+
+            vuint32m2_t v_s_vals_raw = __riscv_vand_vx_u32m2(
+                                       __riscv_vsrl_vv_u32m2(v_aux_expanded, v_shifts, 8), 127, 8);
+
+            vuint16m1_t sign_indices_byte_offset = __riscv_vsll_vx_u16m1(
+                                                   __riscv_vncvt_x_x_w_u16m1(v_s_vals_raw, 8), 3, 8);
+
+            vuint64m4_t v_s_vals_u64 = __riscv_vluxei16_v_u64m4(signs64, sign_indices_byte_offset, 8);
+
+            vint8m4_t v_s_vals = __riscv_vreinterpret_v_u8m4_i8m4(
+                                 __riscv_vreinterpret_v_u64m4_u8m4(v_s_vals_u64));
+
+            vint8m4_t v_q3_signed = __riscv_vmul_vv_i8m4(v_q3_magnitudes, v_s_vals, 64);
+            asm volatile("" ::: "memory");
+            vint8m4_t v_q8 = __riscv_vle8_v_i8m4(q8, 64);
+            q8 += 64;
+
+            vint16m8_t v_dot = __riscv_vwmul_vv_i16m8(v_q8, v_q3_signed, 64);
+
+            asm volatile("" ::: "memory");
+
+            vint16m4_t v_dot_1 = __riscv_vget_v_i16m8_i16m4(v_dot, 0);
+            vint16m4_t v_dot_2 = __riscv_vget_v_i16m8_i16m4(v_dot, 1);
+
+            vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+
+            vint32m1_t v_sum_1 = __riscv_vwredsum_vs_i16m4_i32m1(v_dot_1, v_zero, 32);
+            vint32m1_t v_sum_2 = __riscv_vwredsum_vs_i16m4_i32m1(v_dot_2, v_zero, 32);
+
+            int32_t sum1_i = __riscv_vmv_x_s_i32m1_i32(v_sum_1);
+            int32_t sum2_i = __riscv_vmv_x_s_i32m1_i32(v_sum_2);
+
+            const float scale1_f = (float)(2 * (aux32[0] >> 28) + 1);
+            const float scale2_f = (float)(2 * (aux32[1] >> 28) + 1);
+
+            block_sum += sum1_i * scale1_f + sum2_i * scale2_f;
+        }
+
+        sumf += d * block_sum;
+    }
+    *s = 0.25f * sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -3052,6 +3619,9 @@ static void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size
 void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq3_xxs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq3_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3065,7 +3635,7 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3095,12 +3665,14 @@ static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_
         vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32);
 
         // Unpack the weight blocks.
-        vuint8m2_t iq4bits1;
-        iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 0, __riscv_vand_vx_u8m1(iq4_packed1, 0xf, 16));
-        iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 1, __riscv_vsrl_vx_u8m1(iq4_packed1, 4, 16));
-        vuint8m2_t iq4bits2;
-        iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 0, __riscv_vand_vx_u8m1(iq4_packed2, 0xf, 16));
-        iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 1, __riscv_vsrl_vx_u8m1(iq4_packed2, 4, 16));
+        vuint8m2_t iq4bits1 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(iq4_packed1, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(iq4_packed1, 4, 16)
+        );
+        vuint8m2_t iq4bits2 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(iq4_packed2, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(iq4_packed2, 4, 16)
+        );
 
         // Gather values from the lookup table.
         vint8m2_t iq4b1 = __riscv_vrgather_vv_i8m2(values, iq4bits1, 32);
@@ -3118,7 +3690,7 @@ static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_
     *s = sumf;
 }
 
-static void ggml_vec_dot_iq4_nl_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq4_nl_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3182,7 +3754,7 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const v
         case 128:
             ggml_vec_dot_iq4_nl_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc);
             break;
-        default:
+        default: // 256 and above
             ggml_vec_dot_iq4_nl_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
     }
@@ -3192,7 +3764,73 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const v
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq4_xs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_K == 0);
+
+    const block_iq4_xs * GGML_RESTRICT x = vx;
+    const block_q8_K   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    const vint8m4_t values = __riscv_vle8_v_i8m4(kvalues_iq4nl, 16);
+    float sumf = 0;
+
+    for (int ibl = 0; ibl < nb; ++ibl) {
+        const int8_t  * q8 = y[ibl].qs;
+        const uint8_t * iq4 = x[ibl].qs;
+        uint16_t h = x[ibl].scales_h;
+
+        // We process 2 sub-blocks together.
+        int sumi1 = 0, sumi2 = 0;
+        #pragma GCC unroll 1
+        for (int ib = 0; ib < QK_K / 64; ++ib) {
+            // Load the packed weights.
+            const vuint8m2_t iq4_packed = __riscv_vle8_v_u8m2(iq4, 32);
+            iq4 += 32;
+
+            // Unpack the weight blocks.
+            const vuint8m2_t iq4bits_lo = __riscv_vand_vx_u8m2(iq4_packed, 0xf, 32);
+            const vuint8m2_t iq4bits_hi = __riscv_vsrl_vx_u8m2(iq4_packed, 4, 32);
+            const vuint8m4_t iq4bits = __riscv_vcreate_v_u8m2_u8m4(iq4bits_lo, iq4bits_hi);
+            const vuint8m4_t iq4bits_reorder = __riscv_vcreate_v_u8m1_u8m4(
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 0), 16),
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 2), 16),
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 1), 16),
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 3), 16)
+            );
+            const vint8m4_t iq4b = __riscv_vrgather_vv_i8m4(values, iq4bits_reorder, 64);
+
+            // Multiply with activations.
+            const vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 64);
+            q8 += 64;
+            const vint16m8_t prod = __riscv_vwmul_vv_i16m8(iq4b, q8b, 64);
+
+            // Reduce separately.
+            const int acc0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            const int acc1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32));
+
+            const int ls1 = ((x[ibl].scales_l[ib] & 0xf)  | ((h << 4) & 0x30)) - 32;
+            const int ls2 = ((x[ibl].scales_l[ib] >>  4)  | ((h << 2) & 0x30)) - 32;
+            h >>= 4;
+
+            sumi1 += acc0 * ls1;
+            sumi2 += acc1 * ls2;
+
+            __asm__ __volatile__("" ::: "memory");
+        }
+
+        sumf += GGML_CPU_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3207,16 +3845,15 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 
     const vint8m4_t values = __riscv_vle8_v_i8m4(kvalues_iq4nl, 16);
     float sumf = 0;
-    int acc[4];
 
     // Indices for re-ordering IQ4 data.
-    uint64_t index[16] = {
+    uint16_t index[16] = {
         0, 1, 8, 9,
         2, 3, 10, 11,
         4, 5,12, 13,
         6, 7, 14, 15,
     };
-    vuint64m4_t i_vec = __riscv_vle64_v_u64m4(index, 16);
+    vuint16m1_t i_vec = __riscv_vle16_v_u16m1(index, 16);
 
     for (int ibl = 0; ibl < nb; ++ibl) {
         const int8_t  * q8 = y[ibl].qs;
@@ -3225,30 +3862,33 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 
         int sumi1 = 0, sumi2 = 0, sumi3 = 0, sumi4 = 0;
 
+        #pragma GCC unroll 1
         for (int ib = 0; ib < QK_K / 128; ++ib) {
             // Weights and activations.
             vuint8m2_t iq4_packed = __riscv_vle8_v_u8m2(iq4, 64);
-            vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
             iq4 += 64;
-            q8 += 128;
 
             // Unpack the weight blocks.
             vuint8m2_t iq4bits_lo = __riscv_vand_vx_u8m2(iq4_packed, 0xf, 64);
             vuint8m2_t iq4bits_hi = __riscv_vsrl_vx_u8m2(iq4_packed, 4, 64);
-            vuint8m4_t iq4bits;
-            iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 0, iq4bits_lo);
-            iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 1, iq4bits_hi);
-            vuint8m4_t iq4bits_reorder = __riscv_vreinterpret_v_u64m4_u8m4(__riscv_vrgather_vv_u64m4(__riscv_vreinterpret_v_u8m4_u64m4(iq4bits), i_vec, 16));
+            vuint8m4_t iq4bits = __riscv_vcreate_v_u8m2_u8m4(iq4bits_lo, iq4bits_hi);
+            vuint8m4_t iq4bits_reorder = __riscv_vreinterpret_v_u64m4_u8m4(__riscv_vrgatherei16_vv_u64m4(__riscv_vreinterpret_v_u8m4_u64m4(iq4bits), i_vec, 16));
             vint8m4_t iq4b = __riscv_vrgather_vv_i8m4(values, iq4bits_reorder, 128);
 
+            __asm__ __volatile__("" ::: "memory");
+
             // Multiply with activations.
+            vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
             vint16m8_t prod = __riscv_vwmul_vv_i16m8(iq4b, q8b, 128);
+            q8 += 128;
+
+            __asm__ __volatile__("" ::: "memory");
 
             // Reduce separately.
-            __riscv_vse32_v_i32m1(&acc[0],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
-            __riscv_vse32_v_i32m1(&acc[1],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
-            __riscv_vse32_v_i32m1(&acc[2],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 2), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
-            __riscv_vse32_v_i32m1(&acc[3],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 3), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+            int acc0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            int acc1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            int acc2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 2), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            int acc3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 3), __riscv_vmv_v_x_i32m1(0, 1), 32));
 
             int ls1 = ((x[ibl].scales_l[ib * 2 + 0] & 0xf)  | ((h << 4) & 0x30)) - 32;
             int ls2 = ((x[ibl].scales_l[ib * 2 + 0] >>  4)  | ((h << 2) & 0x30)) - 32;
@@ -3256,10 +3896,12 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
             int ls4 = ((x[ibl].scales_l[ib * 2 + 1] >>  4)  | ((h >> 2) & 0x30)) - 32;
             h >>= 8;
 
-            sumi1 += acc[0] * ls1;
-            sumi2 += acc[1] * ls2;
-            sumi3 += acc[2] * ls3;
-            sumi4 += acc[3] * ls4;
+            sumi1 += acc0 * ls1;
+            sumi2 += acc1 * ls2;
+            sumi3 += acc2 * ls3;
+            sumi4 += acc3 * ls4;
+
+            __asm__ __volatile__("" ::: "memory");
         }
 
         sumf += GGML_CPU_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2 + sumi3 + sumi4);
@@ -3272,6 +3914,9 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq4_xs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq4_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3285,7 +3930,7 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_tq1_0_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3301,8 +3946,107 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
     uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27};
 
     for (int i = 0; i < nb; i++) {
+        const uint8_t * GGML_RESTRICT tq = x[i].qs;
+        const int8_t  * GGML_RESTRICT q8 = y[i].qs;
+
         // First loop.
-        vint32m4_t suml1;
+        vint16m4_t suml1;
+        {
+            const int vl = 32;
+            const vuint8m2_t tqb = __riscv_vle8_v_u8m2(tq, vl);
+            tq += 32;
+
+            {
+                const vuint16m4_t tq0 = __riscv_vsrl_vx_u16m4(__riscv_vwmulu_vx_u16m4(tqb, 3, vl), 8, vl);
+                const vint16m4_t q80 = __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(q8, vl), vl);
+                suml1 = __riscv_vmul_vv_i16m4(__riscv_vreinterpret_v_u16m4_i16m4(__riscv_vsub_vx_u16m4(tq0, 1, vl)), q80, vl);
+                q8 += 32;
+            }
+
+            uint8_t pow3 = 3;
+            #pragma GCC unroll 1
+            for (int t = 0; t < 4; t++) {
+                const vuint16m4_t tqn = __riscv_vsrl_vx_u16m4(__riscv_vwmulu_vx_u16m4(__riscv_vmul_vx_u8m2(tqb, pow3, vl), 3, vl), 8, vl);
+                const vint16m4_t q8n = __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(q8, vl), vl);
+                suml1 = __riscv_vmacc_vv_i16m4(suml1, __riscv_vreinterpret_v_u16m4_i16m4(__riscv_vsub_vx_u16m4(tqn, 1, vl)), q8n, vl);
+                pow3 *= 3;
+                q8 += 32;
+            }
+        }
+
+        // Second loop.
+        vint16m2_t suml2;
+        {
+            const int vl = 16;
+            const vuint8m1_t tqb = __riscv_vle8_v_u8m1(tq, vl);
+
+            {
+                const vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(tqb, 3, vl), 8, vl);
+                const vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(q8, vl), vl);
+                suml2 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl);
+                q8 += 16;
+            }
+
+            uint8_t pow3 = 3;
+            #pragma GCC unroll 1
+            for (int t = 0; t < 4; t++) {
+                const vuint16m2_t tqn = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tqb, pow3, vl), 3, vl), 8, vl);
+                const vint16m2_t q8n = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(q8, vl), vl);
+                suml2 = __riscv_vmacc_vv_i16m2(suml2, __riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tqn, 1, vl)), q8n, vl);
+                pow3 *= 3;
+                q8 += 16;
+            }
+        }
+
+        // Third loop.
+        vint16m2_t suml3;
+        {
+            const int vl = 16;
+
+            uint32_t qh;
+            memcpy(&qh, &x[i].qh[0], 4);
+            // Prevent fusion with vmv.
+            __asm__ __volatile__("" : "+r"(qh));
+            const vuint8m1_t tqb = __riscv_vreinterpret_v_u32m1_u8m1(__riscv_vmv_v_x_u32m1(qh, vl / 4));
+
+            const vuint8m1_t p = __riscv_vle8_v_u8m1(pow, vl);
+
+            const vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vv_u8m1(tqb, p, vl), 3, vl), 8, vl);
+
+            const vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(q8, vl), vl);
+
+            suml3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl);
+        }
+
+        vint16m2_t sumb = __riscv_vadd_vv_i16m2(__riscv_vget_v_i16m4_i16m2(suml1, 0), __riscv_vget_v_i16m4_i16m2(suml1, 1), 16);
+        sumb = __riscv_vadd_vv_i16m2(sumb, suml2, 16);
+        sumb = __riscv_vadd_vv_i16m2(sumb, suml3, 16);
+
+        vint32m1_t sum = __riscv_vwredsum_vs_i16m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
+        sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_tq1_0 * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0.0f;
+    uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27};
+
+    for (int i = 0; i < nb; i++) {
+        // First loop.
+        vint16m2_t suml1;
         {
             const int vl = 32;
             vuint8m1_t tq = __riscv_vle8_v_u8m1(x[i].qs, vl);
@@ -3325,13 +4069,13 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             vint16m2_t sum3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq3, 1, vl)), q83, vl);
             vint16m2_t sum4 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq4, 1, vl)), q84, vl);
 
-            vint32m4_t sumi0 = __riscv_vwadd_vv_i32m4(sum0, sum1, vl);
-            vint32m4_t sumi1 = __riscv_vwadd_vv_i32m4(sum2, sum3, vl);
-            suml1 = __riscv_vadd_vv_i32m4(__riscv_vwcvt_x_x_v_i32m4(sum4, vl), __riscv_vadd_vv_i32m4(sumi0, sumi1, vl), vl);
+            vint16m2_t sumi0 = __riscv_vadd_vv_i16m2(sum0, sum1, vl);
+            vint16m2_t sumi1 = __riscv_vadd_vv_i16m2(sum2, sum3, vl);
+            suml1 = __riscv_vadd_vv_i16m2(sum4, __riscv_vadd_vv_i16m2(sumi0, sumi1, vl), vl);
         }
 
         // Second loop.
-        vint32m2_t suml2;
+        vint16m1_t suml2;
         {
             const int vl = 16;
             vuint8mf2_t tq = __riscv_vle8_v_u8mf2(x[i].qs + 32, vl);
@@ -3354,13 +4098,13 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             vint16m1_t sum3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq3, 1, vl)), q83, vl);
             vint16m1_t sum4 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq4, 1, vl)), q84, vl);
 
-            vint32m2_t sumi0 = __riscv_vwadd_vv_i32m2(sum0, sum1, vl);
-            vint32m2_t sumi1 = __riscv_vwadd_vv_i32m2(sum2, sum3, vl);
-            suml2 = __riscv_vadd_vv_i32m2(__riscv_vwcvt_x_x_v_i32m2(sum4, vl), __riscv_vadd_vv_i32m2(sumi0, sumi1, vl), vl);
+            vint16m1_t sumi0 = __riscv_vadd_vv_i16m1(sum0, sum1, vl);
+            vint16m1_t sumi1 = __riscv_vadd_vv_i16m1(sum2, sum3, vl);
+            suml2 = __riscv_vadd_vv_i16m1(sum4, __riscv_vadd_vv_i16m1(sumi0, sumi1, vl), vl);
         }
 
         // Third loop.
-        vint32m2_t suml3;
+        vint16m1_t suml3;
         {
             const int vl = 16;
 
@@ -3376,15 +4120,13 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 
             vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 240, vl), vl);
 
-            vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl);
-            suml3 = __riscv_vwcvt_x_x_v_i32m2(sum0, vl);
+            suml3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl);
         }
 
-        vint32m2_t sumb = __riscv_vadd_vv_i32m2(__riscv_vget_v_i32m4_i32m2(suml1, 0), __riscv_vget_v_i32m4_i32m2(suml1, 1), 16);
-        sumb = __riscv_vadd_vv_i32m2(sumb, suml2, 16);
-        sumb = __riscv_vadd_vv_i32m2(sumb, suml3, 16);
+        vint16m1_t sumb = __riscv_vadd_vv_i16m1(__riscv_vget_v_i16m2_i16m1(suml1, 0), __riscv_vget_v_i16m2_i16m1(suml1, 1), 16);
+        sumb = __riscv_vadd_vv_i16m1(sumb, __riscv_vadd_vv_i16m1(suml2, suml3, 16), 16);
 
-        vint32m1_t sum = __riscv_vredsum_vs_i32m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
+        vint32m1_t sum = __riscv_vwredsum_vs_i16m1_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
         sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
     }
 
@@ -3395,6 +4137,9 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_tq1_0_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_tq1_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3408,7 +4153,89 @@ void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_tq2_0_q8_K_vl128(const int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_tq2_0 * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        int32_t sumi = 0;
+
+        for (size_t j = 0; j < sizeof(x[0].qs); j += 32) {
+            const int8_t * py0 = &y[i].qs[j * 4 + 0 * 32];
+            const int8_t * py1 = &y[i].qs[j * 4 + 1 * 32];
+            const int8_t * py2 = &y[i].qs[j * 4 + 2 * 32];
+            const int8_t * py3 = &y[i].qs[j * 4 + 3 * 32];
+            const uint8_t* px  = &x[i].qs[j];
+
+            size_t vl = __riscv_vsetvl_e16m4(32);
+            vint16m4_t vacc16 = __riscv_vmv_v_x_i16m4(0, vl);
+
+            // Load Raw Packed elements
+            vl = __riscv_vsetvl_e8m2(32);
+            vuint8m2_t vx_u8 = __riscv_vle8_v_u8m2(px, vl);
+
+            // Process bits 1:0
+            {
+                // Unpack
+                vuint8m2_t t0 = __riscv_vand_vx_u8m2(vx_u8, 0x03, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t0), 1, vl);
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py0, vl);
+                // Accumulate
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            // Process bits 3:2
+            {
+                vuint8m2_t t1 = __riscv_vsrl_vx_u8m2(vx_u8, 2, vl);
+                t1 = __riscv_vand_vx_u8m2(t1, 0x03, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t1), 1, vl);
+
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py1, vl);
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            // Process bits 5:4
+            {
+                vuint8m2_t t2 = __riscv_vsrl_vx_u8m2(vx_u8, 4, vl);
+                t2 = __riscv_vand_vx_u8m2(t2, 0x03, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t2), 1, vl);
+
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py2, vl);
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            // Process bits 7:6
+            {
+                vuint8m2_t t3 = __riscv_vsrl_vx_u8m2(vx_u8, 6, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t3), 1, vl);
+
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py3, vl);
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            vl = __riscv_vsetvl_e16m4(32);
+            vint32m1_t vzero32 = __riscv_vmv_v_x_i32m1(0, 1);
+            vint32m1_t vred32 = __riscv_vwredsum_vs_i16m4_i32m1(vacc16, vzero32, vl);
+            sumi += __riscv_vmv_x_s_i32m1_i32(vred32);
+        }
+
+        const float d = y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
+        sumf += (float)sumi * d;
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -3483,6 +4310,9 @@ static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_tq2_0_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_tq2_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3496,7 +4326,7 @@ void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3526,12 +4356,14 @@ static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t
         vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32);
 
         // Unpack the weight blocks.
-        vuint8m2_t mxbits1;
-        mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 0, __riscv_vand_vx_u8m1(mx_packed1, 0xf, 16));
-        mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 1, __riscv_vsrl_vx_u8m1(mx_packed1, 4, 16));
-        vuint8m2_t mxbits2;
-        mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 0, __riscv_vand_vx_u8m1(mx_packed2, 0xf, 16));
-        mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 1, __riscv_vsrl_vx_u8m1(mx_packed2, 4, 16));
+        vuint8m2_t mxbits1 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(mx_packed1, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(mx_packed1, 4, 16)
+        );
+        vuint8m2_t mxbits2 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(mx_packed2, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(mx_packed2, 4, 16)
+        );
 
         // Gather values from the lookup table.
         vint8m2_t mxb1 = __riscv_vrgather_vv_i8m2(values, mxbits1, 32);
@@ -3549,7 +4381,7 @@ static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t
     *s = sumf;
 }
 
-static void ggml_vec_dot_mxfp4_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_mxfp4_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3613,7 +4445,7 @@ void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         case 128:
             ggml_vec_dot_mxfp4_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc);
             break;
-        default:
+        default: // 256 and above
             ggml_vec_dot_mxfp4_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
     }
diff --git a/ggml/src/ggml-cpu/arch/s390/quants.c b/ggml/src/ggml-cpu/arch/s390/quants.c
index 34184ed8510051fe927e0d301348cb7e8de818eb..500857579a70721a1de491d4c7da6c35d2343a13 100644
--- a/ggml/src/ggml-cpu/arch/s390/quants.c
+++ b/ggml/src/ggml-cpu/arch/s390/quants.c
@@ -1463,4 +1463,3 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
     ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/wasm/quants.c b/ggml/src/ggml-cpu/arch/wasm/quants.c
index 74a359e6d122d1e50b09acb20c9420f32bea9391..648c6fcaba76844f0085a33c15299cebf9aa197d 100644
--- a/ggml/src/ggml-cpu/arch/wasm/quants.c
+++ b/ggml/src/ggml-cpu/arch/wasm/quants.c
@@ -1218,4 +1218,3 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
     ggml_vec_dot_q6_K_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/x86/quants.c b/ggml/src/ggml-cpu/arch/x86/quants.c
index 74d699f633d3ace911c16428ff73c6ef5f2cd355..0a3e071e57c9092f618bba4eab9b97bbbf033cbc 100644
--- a/ggml/src/ggml-cpu/arch/x86/quants.c
+++ b/ggml/src/ggml-cpu/arch/x86/quants.c
@@ -274,6 +274,18 @@ static inline __m256 quad_mx_delta_float(const uint8_t x0, const float y0, const
 }
 #endif
 #elif defined(__SSSE3__)
+static inline __m128i bytes_from_bits_16(const uint8_t * x) {
+    uint16_t x16;
+    memcpy(&x16, x, sizeof(uint16_t));
+
+    const __m128i shuf_mask = _mm_set_epi64x(0x0101010101010101, 0x0000000000000000);
+    __m128i bytes = _mm_shuffle_epi8(_mm_set1_epi16((short) x16), shuf_mask);
+    const __m128i bit_mask = _mm_set_epi64x(0x7fbfdfeff7fbfdfe, 0x7fbfdfeff7fbfdfe);
+    bytes = _mm_or_si128(bytes, bit_mask);
+
+    return _mm_cmpeq_epi8(bytes, _mm_set1_epi64x(-1));
+}
+
 // horizontally add 4x4 floats
 static inline float hsum_float_4x4(const __m128 a, const __m128 b, const __m128 c, const __m128 d) {
     __m128 res_0 =_mm_hadd_ps(a, b);
@@ -540,6 +552,152 @@ static inline __m128i get_scale_shuffle(int i) {
 }
 #endif
 
+void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    const int qk = QK1_0;
+    const int nb = n / qk;
+
+    assert(n % qk == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_q1_0 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+#if defined(__AVX2__)
+    const __m256i ones_8 = _mm256_set1_epi8(1);
+    const __m256i ones_16 = _mm256_set1_epi16(1);
+    const __m256i byte_shuf = _mm256_setr_epi8(
+            0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1,
+            2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3);
+    const __m256i bit_masks = _mm256_setr_epi8(
+            1, 2, 4, 8, 16, 32, 64, (char) -128, 1, 2, 4, 8, 16, 32, 64, (char) -128,
+            1, 2, 4, 8, 16, 32, 64, (char) -128, 1, 2, 4, 8, 16, 32, 64, (char) -128);
+    const __m256i zero = _mm256_setzero_si256();
+    __m256 acc = _mm256_setzero_ps();
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[ib].d);
+        const uint32_t * GGML_RESTRICT qs32 = (const uint32_t *) x[ib].qs;
+        const block_q8_0 * GGML_RESTRICT y_ptr = &y[ib * 4];
+
+        __m256 acc_block;
+        {
+            const __m256i qy = _mm256_loadu_si256((const __m256i *) y_ptr[0].qs);
+            const __m256i sm = _mm256_cmpeq_epi8(
+                    _mm256_and_si256(_mm256_shuffle_epi8(_mm256_set1_epi32((int) qs32[0]), byte_shuf), bit_masks), zero);
+            const __m256i sy = _mm256_sub_epi8(_mm256_xor_si256(qy, sm), sm);
+            const __m256i s32 = _mm256_madd_epi16(_mm256_maddubs_epi16(ones_8, sy), ones_16);
+            acc_block = _mm256_mul_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[0].d)), _mm256_cvtepi32_ps(s32));
+        }
+        for (int K = 1; K < 4; ++K) {
+            const __m256i qy = _mm256_loadu_si256((const __m256i *) y_ptr[K].qs);
+            const __m256i sm = _mm256_cmpeq_epi8(
+                    _mm256_and_si256(_mm256_shuffle_epi8(_mm256_set1_epi32((int) qs32[K]), byte_shuf), bit_masks), zero);
+            const __m256i sy = _mm256_sub_epi8(_mm256_xor_si256(qy, sm), sm);
+            const __m256i s32 = _mm256_madd_epi16(_mm256_maddubs_epi16(ones_8, sy), ones_16);
+            acc_block = _mm256_fmadd_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[K].d)), _mm256_cvtepi32_ps(s32), acc_block);
+        }
+        acc = _mm256_fmadd_ps(_mm256_set1_ps(d0), acc_block, acc);
+    }
+
+    *s = hsum_float_8(acc);
+#elif defined(__AVX__)
+    const __m128i ones_8 = _mm_set1_epi8(1);
+    const __m128i ones_16 = _mm_set1_epi16(1);
+    const __m128i zero = _mm_setzero_si128();
+    __m256 acc = _mm256_setzero_ps();
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[ib].d);
+        const block_q8_0 * GGML_RESTRICT y_ptr = &y[ib * 4];
+        __m256 acc_block;
+        {
+            const __m256i bit_mask = bytes_from_bits_32(&x[ib].qs[0]);
+            const __m128i bit_mask_0 = _mm256_castsi256_si128(bit_mask);
+            const __m128i bit_mask_1 = _mm256_extractf128_si256(bit_mask, 1);
+            const __m128i qy_0 = _mm_loadu_si128((const __m128i *) &y_ptr[0].qs[0]);
+            const __m128i qy_1 = _mm_loadu_si128((const __m128i *) &y_ptr[0].qs[16]);
+            const __m128i sign_mask_0 = _mm_cmpeq_epi8(bit_mask_0, zero);
+            const __m128i sign_mask_1 = _mm_cmpeq_epi8(bit_mask_1, zero);
+            const __m128i sy_0 = _mm_sub_epi8(_mm_xor_si128(qy_0, sign_mask_0), sign_mask_0);
+            const __m128i sy_1 = _mm_sub_epi8(_mm_xor_si128(qy_1, sign_mask_1), sign_mask_1);
+            const __m128i sum16_0 = _mm_maddubs_epi16(ones_8, sy_0);
+            const __m128i sum16_1 = _mm_maddubs_epi16(ones_8, sy_1);
+            const __m128i sum32_0 = _mm_madd_epi16(sum16_0, ones_16);
+            const __m128i sum32_1 = _mm_madd_epi16(sum16_1, ones_16);
+            const __m256 q = _mm256_cvtepi32_ps(MM256_SET_M128I(sum32_1, sum32_0));
+            acc_block = _mm256_mul_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[0].d)), q);
+        }
+        for(int K = 1; K < 4; ++K) {
+            const __m256i bit_mask = bytes_from_bits_32(&x[ib].qs[(K) * 4]);
+            const __m128i bit_mask_0 = _mm256_castsi256_si128(bit_mask);
+            const __m128i bit_mask_1 = _mm256_extractf128_si256(bit_mask, 1);
+            const __m128i qy_0 = _mm_loadu_si128((const __m128i *) &y_ptr[(K)].qs[0]);
+            const __m128i qy_1 = _mm_loadu_si128((const __m128i *) &y_ptr[(K)].qs[16]);
+            const __m128i sign_mask_0 = _mm_cmpeq_epi8(bit_mask_0, zero);
+            const __m128i sign_mask_1 = _mm_cmpeq_epi8(bit_mask_1, zero);
+            const __m128i sy_0 = _mm_sub_epi8(_mm_xor_si128(qy_0, sign_mask_0), sign_mask_0);
+            const __m128i sy_1 = _mm_sub_epi8(_mm_xor_si128(qy_1, sign_mask_1), sign_mask_1);
+            const __m128i sum16_0 = _mm_maddubs_epi16(ones_8, sy_0);
+            const __m128i sum16_1 = _mm_maddubs_epi16(ones_8, sy_1);
+            const __m128i sum32_0 = _mm_madd_epi16(sum16_0, ones_16);
+            const __m128i sum32_1 = _mm_madd_epi16(sum16_1, ones_16);
+            const __m256 q = _mm256_cvtepi32_ps(MM256_SET_M128I(sum32_1, sum32_0));
+            acc_block = _mm256_add_ps(acc_block, _mm256_mul_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[(K)].d)), q));
+        }
+#undef Q1_AVX_BLOCK
+
+        acc = _mm256_add_ps(acc, _mm256_mul_ps(_mm256_set1_ps(d0), acc_block));
+    }
+
+    *s = hsum_float_8(acc);
+#elif defined(__SSSE3__)
+    const __m128i ones_8 = _mm_set1_epi8(1);
+    const __m128i ones_16 = _mm_set1_epi16(1);
+    const __m128i zero = _mm_setzero_si128();
+    __m128 acc_0 = _mm_setzero_ps();
+    __m128 acc_1 = _mm_setzero_ps();
+    __m128 acc_2 = _mm_setzero_ps();
+    __m128 acc_3 = _mm_setzero_ps();
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const __m128 d0 = _mm_set1_ps(GGML_CPU_FP16_TO_FP32(x[ib].d));
+        const block_q8_0 * GGML_RESTRICT y_ptr = &y[ib * 4];
+
+#define Q1_SSSE3_BLOCK(QS_OFF, Y_IDX, ACC) \
+        { \
+            const __m128i bit_mask_0 = bytes_from_bits_16(&x[ib].qs[(QS_OFF) + 0]); \
+            const __m128i bit_mask_1 = bytes_from_bits_16(&x[ib].qs[(QS_OFF) + 2]); \
+            const __m128i qy_0 = _mm_loadu_si128((const __m128i *) &y_ptr[(Y_IDX)].qs[0]); \
+            const __m128i qy_1 = _mm_loadu_si128((const __m128i *) &y_ptr[(Y_IDX)].qs[16]); \
+            const __m128i sign_mask_0 = _mm_cmpeq_epi8(bit_mask_0, zero); \
+            const __m128i sign_mask_1 = _mm_cmpeq_epi8(bit_mask_1, zero); \
+            const __m128i sy_0 = _mm_sub_epi8(_mm_xor_si128(qy_0, sign_mask_0), sign_mask_0); \
+            const __m128i sy_1 = _mm_sub_epi8(_mm_xor_si128(qy_1, sign_mask_1), sign_mask_1); \
+            const __m128i sum_0 = _mm_madd_epi16(_mm_maddubs_epi16(ones_8, sy_0), ones_16); \
+            const __m128i sum_1 = _mm_madd_epi16(_mm_maddubs_epi16(ones_8, sy_1), ones_16); \
+            const __m128 q = _mm_cvtepi32_ps(_mm_add_epi32(sum_0, sum_1)); \
+            (ACC) = _mm_add_ps((ACC), _mm_mul_ps(_mm_mul_ps(d0, _mm_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[(Y_IDX)].d))), q)); \
+        }
+        Q1_SSSE3_BLOCK(0,  0, acc_0)
+        Q1_SSSE3_BLOCK(4,  1, acc_1)
+        Q1_SSSE3_BLOCK(8,  2, acc_2)
+        Q1_SSSE3_BLOCK(12, 3, acc_3)
+#undef Q1_SSSE3_BLOCK
+    }
+
+    *s = hsum_float_4x4(acc_0, acc_1, acc_2, acc_3);
+#else
+    UNUSED(nb);
+    UNUSED(x);
+    UNUSED(y);
+    ggml_vec_dot_q1_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
diff --git a/ggml/src/ggml-cpu/ggml-cpu-impl.h b/ggml/src/ggml-cpu/ggml-cpu-impl.h
index 88a9c9ec0572499204b4a1d7d3d5aba51d2b90af..5d1ca5ffcc368b9f0249d6cf6ccc4549bb9a3ab4 100644
--- a/ggml/src/ggml-cpu/ggml-cpu-impl.h
+++ b/ggml/src/ggml-cpu/ggml-cpu-impl.h
@@ -306,6 +306,7 @@ inline static uint8x16_t ggml_vqtbl1q_u8(uint8x16_t a, uint8x16_t b) {
 
 #if !defined(__ARM_FEATURE_DOTPROD)
 
+// NOTE: this fallback produces the same total sum as native vdotq_s32 but with different per-lane grouping — do not use when individual lane values matter.
 inline static int32x4_t ggml_vdotq_s32(int32x4_t acc, int8x16_t a, int8x16_t b) {
     const int16x8_t p0 = vmull_s8(vget_low_s8 (a), vget_low_s8 (b));
     const int16x8_t p1 = vmull_s8(vget_high_s8(a), vget_high_s8(b));
@@ -319,6 +320,15 @@ inline static int32x4_t ggml_vdotq_s32(int32x4_t acc, int8x16_t a, int8x16_t b)
 
 #endif // !defined(__ARM_FEATURE_DOTPROD)
 
+static inline int32x4_t ggml_nvfp4_dot8(const int8x8_t q4_lo, const int8x8_t q8_lo,
+                                         const int8x8_t q4_hi, const int8x8_t q8_hi) {
+    const int16x8_t p_lo = vmull_s8(q4_lo, q8_lo);
+    const int16x8_t p_hi = vmull_s8(q4_hi, q8_hi);
+    const int32x4_t sum_lo = vpaddlq_s16(p_lo);
+    const int32x4_t sum_hi = vpaddlq_s16(p_hi);
+    return vaddq_s32(sum_lo, sum_hi);
+}
+
 #endif // defined(__ARM_NEON)
 
 #ifdef __wasm_simd128__
diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c
index 8b323bd9b06829c8a29e174b7ef1cc2e656f372a..2b3eb5b5ce65b574cff5646a3354b76ecd4d0e84 100644
--- a/ggml/src/ggml-cpu/ggml-cpu.c
+++ b/ggml/src/ggml-cpu/ggml-cpu.c
@@ -217,6 +217,12 @@ static const struct ggml_type_traits_cpu type_traits_cpu[GGML_TYPE_COUNT] = {
         .vec_dot_type             = GGML_TYPE_F16,
         .nrows                    = 1,
     },
+    [GGML_TYPE_Q1_0] = {
+        .from_float               = quantize_row_q1_0,
+        .vec_dot                  = ggml_vec_dot_q1_0_q8_0,
+        .vec_dot_type             = GGML_TYPE_Q8_0,
+        .nrows                    = 1,
+    },
     [GGML_TYPE_Q4_0] = {
         .from_float               = quantize_row_q4_0,
         .vec_dot                  = ggml_vec_dot_q4_0_q8_0,
@@ -2350,11 +2356,15 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) {
         case GGML_OP_FLASH_ATTN_BACK:
         case GGML_OP_SSM_CONV:
         case GGML_OP_SSM_SCAN:
+            {
+                n_tasks = n_threads;
+            } break;
         case GGML_OP_RWKV_WKV6:
         case GGML_OP_GATED_LINEAR_ATTN:
         case GGML_OP_RWKV_WKV7:
             {
-                n_tasks = n_threads;
+                const int64_t n_heads = node->src[1]->ne[1];
+                n_tasks = MIN(n_threads, n_heads);
             } break;
         case GGML_OP_WIN_PART:
         case GGML_OP_WIN_UNPART:
@@ -2871,8 +2881,12 @@ struct ggml_cplan ggml_graph_plan(
                         const int64_t ne11 = node->src[1]->ne[1]; // H
                         const int64_t ne12 = node->src[1]->ne[2]; // Channels In
 
-                        cur += sizeof(ggml_fp16_t)*ne00*ne01*ne02*ne03;
-                        cur += sizeof(ggml_fp16_t)*ne10*ne11*ne12;
+                        GGML_ASSERT(node->src[0]->type == GGML_TYPE_F16 || node->src[0]->type == GGML_TYPE_F32);
+                        GGML_ASSERT(node->src[1]->type == GGML_TYPE_F32);
+
+                        cur += ggml_type_size(node->src[0]->type) * ne00 * ne01 * ne02 * ne03;
+                        cur += ggml_type_size(node->src[0]->type) * ne10 * ne11 * ne12;
+
                     } break;
                 case GGML_OP_TOP_K:
                     {
diff --git a/ggml/src/ggml-cpu/ggml-cpu.cpp b/ggml/src/ggml-cpu/ggml-cpu.cpp
index ddf1737a3171db2a79566b399711171627f30950..49f840be2076305e818cb9b9cac312ed073cebfa 100644
--- a/ggml/src/ggml-cpu/ggml-cpu.cpp
+++ b/ggml/src/ggml-cpu/ggml-cpu.cpp
@@ -195,6 +195,8 @@ static const struct ggml_backend_i ggml_backend_cpu_i = {
     /* .free                    = */ ggml_backend_cpu_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ ggml_backend_cpu_graph_plan_create,
diff --git a/ggml/src/ggml-cpu/llamafile/sgemm.cpp b/ggml/src/ggml-cpu/llamafile/sgemm.cpp
index c89e5076f26eca9279f9dd226e29ebb7dea91407..34e320e2f502c479e861f2335163c52276a56184 100644
--- a/ggml/src/ggml-cpu/llamafile/sgemm.cpp
+++ b/ggml/src/ggml-cpu/llamafile/sgemm.cpp
@@ -180,44 +180,49 @@ inline float32x4_t madd(float32x4_t a, float32x4_t b, float32x4_t c) {
 }
 #endif
 
+#if defined(__riscv_v_intrinsic)
+template <> inline vfloat32m1_t madd(vfloat32m1_t a, vfloat32m1_t b, vfloat32m1_t c) {
+    return __riscv_vfmacc_vv_f32m1(c, a, b, __riscv_vsetvlmax_e32m1());
+}
+template <> inline vfloat32m2_t madd(vfloat32m2_t a, vfloat32m2_t b, vfloat32m2_t c) {
+    return __riscv_vfmacc_vv_f32m2(c, a, b, __riscv_vsetvlmax_e32m2());
+}
+template <> inline vfloat32m4_t madd(vfloat32m4_t a, vfloat32m4_t b, vfloat32m4_t c) {
+    return __riscv_vfmacc_vv_f32m4(c, a, b, __riscv_vsetvlmax_e32m4());
+}
+template <> inline vfloat32m8_t madd(vfloat32m8_t a, vfloat32m8_t b, vfloat32m8_t c) {
+    return __riscv_vfmacc_vv_f32m8(c, a, b, __riscv_vsetvlmax_e32m8());
+}
+#endif
+
 #if defined(__riscv_zvfh)
-template <>
-inline vfloat32m1_t madd(vfloat16mf2_t a, vfloat16mf2_t b, vfloat32m1_t c) {
+template <> inline vfloat32m1_t madd(vfloat16mf2_t a, vfloat16mf2_t b, vfloat32m1_t c) {
     return __riscv_vfwmacc_vv_f32m1(c, a, b, __riscv_vsetvlmax_e32m1());
 }
-inline vfloat32m2_t madd(vfloat16m1_t a, vfloat16m1_t b, vfloat32m2_t c) {
+template <> inline vfloat32m2_t madd(vfloat16m1_t a, vfloat16m1_t b, vfloat32m2_t c) {
     return __riscv_vfwmacc_vv_f32m2(c, a, b, __riscv_vsetvlmax_e32m2());
 }
-inline vfloat32m4_t madd(vfloat16m2_t a, vfloat16m2_t b, vfloat32m4_t c) {
+template <> inline vfloat32m4_t madd(vfloat16m2_t a, vfloat16m2_t b, vfloat32m4_t c) {
     return __riscv_vfwmacc_vv_f32m4(c, a, b, __riscv_vsetvlmax_e32m4());
 }
-inline vfloat32m8_t madd(vfloat16m4_t a, vfloat16m4_t b, vfloat32m8_t c) {
+template <> inline vfloat32m8_t madd(vfloat16m4_t a, vfloat16m4_t b, vfloat32m8_t c) {
     return __riscv_vfwmacc_vv_f32m8(c, a, b, __riscv_vsetvlmax_e32m8());
 }
-inline vfloat32m1_t madd(vfloat32m1_t a, vfloat32m1_t b, vfloat32m1_t c) {
-    return __riscv_vfmacc_vv_f32m1(c, a, b, __riscv_vsetvlmax_e32m1());
-}
-inline vfloat32m2_t madd(vfloat32m2_t a, vfloat32m2_t b, vfloat32m2_t c) {
-    return __riscv_vfmacc_vv_f32m2(c, a, b, __riscv_vsetvlmax_e32m2());
-}
-inline vfloat32m4_t madd(vfloat32m4_t a, vfloat32m4_t b, vfloat32m4_t c) {
-    return __riscv_vfmacc_vv_f32m4(c, a, b, __riscv_vsetvlmax_e32m4());
-}
-inline vfloat32m8_t madd(vfloat32m8_t a, vfloat32m8_t b, vfloat32m8_t c) {
-    return __riscv_vfmacc_vv_f32m8(c, a, b, __riscv_vsetvlmax_e32m8());
-}
 #endif
 
 #if defined(__riscv_zvfbfwma)
-inline vfloat32m1_t madd(vbfloat16mf2_t a, vbfloat16mf2_t b, vfloat32m1_t c) {
+template <> inline vfloat32m1_t madd(vbfloat16mf2_t a, vbfloat16mf2_t b, vfloat32m1_t c) {
     return __riscv_vfwmaccbf16_vv_f32m1(c, a, b, __riscv_vsetvlmax_e32m1());
 }
-inline vfloat32m2_t madd(vbfloat16m1_t a, vbfloat16m1_t b, vfloat32m2_t c) {
+template <> inline vfloat32m2_t madd(vbfloat16m1_t a, vbfloat16m1_t b, vfloat32m2_t c) {
     return __riscv_vfwmaccbf16_vv_f32m2(c, a, b, __riscv_vsetvlmax_e32m2());
 }
-inline vfloat32m4_t madd(vbfloat16m2_t a, vbfloat16m2_t b, vfloat32m4_t c) {
+template <> inline vfloat32m4_t madd(vbfloat16m2_t a, vbfloat16m2_t b, vfloat32m4_t c) {
     return __riscv_vfwmaccbf16_vv_f32m4(c, a, b, __riscv_vsetvlmax_e32m4());
 }
+template <> inline vfloat32m8_t madd(vbfloat16m4_t a, vbfloat16m4_t b, vfloat32m8_t c) {
+    return __riscv_vfwmaccbf16_vv_f32m8(c, a, b, __riscv_vsetvlmax_e32m8());
+}
 #endif
 
 ////////////////////////////////////////////////////////////////////////////////////////////////////
@@ -272,7 +277,7 @@ inline float hsum(__m512 x) {
 }
 #endif // __AVX512F__
 
-#if defined(__riscv_zvfh)
+#if defined(__riscv_v_intrinsic)
 inline float hsum(vfloat32m1_t x) {
     return __riscv_vfmv_f_s_f32m1_f32(
         __riscv_vfredusum_vs_f32m1_f32m1(x, __riscv_vfmv_v_f_f32m1(0, 1), __riscv_vsetvlmax_e32m1()));
@@ -379,6 +384,21 @@ template <> inline __m256bh load(const float *p) {
 }
 #endif
 
+#if defined(__riscv_v_intrinsic)
+template <> inline vfloat32m1_t load(const float *p) {
+    return __riscv_vle32_v_f32m1(p, __riscv_vsetvlmax_e32m1());
+}
+template <> inline vfloat32m2_t load(const float *p) {
+    return __riscv_vle32_v_f32m2(p, __riscv_vsetvlmax_e32m2());
+}
+template <> inline vfloat32m4_t load(const float *p) {
+    return __riscv_vle32_v_f32m4(p, __riscv_vsetvlmax_e32m4());
+}
+template <> inline vfloat32m8_t load(const float *p) {
+    return __riscv_vle32_v_f32m8(p, __riscv_vsetvlmax_e32m8());
+}
+#endif
+
 #if defined(__riscv_zvfh)
 template <> inline vfloat16mf2_t load(const ggml_fp16_t *p) {
     return __riscv_vle16_v_f16mf2(reinterpret_cast<const _Float16 *>(p), __riscv_vsetvlmax_e16mf2());
@@ -392,18 +412,6 @@ template <> inline vfloat16m2_t load(const ggml_fp16_t *p) {
 template <> inline vfloat16m4_t load(const ggml_fp16_t *p) {
     return __riscv_vle16_v_f16m4(reinterpret_cast<const _Float16 *>(p), __riscv_vsetvlmax_e16m4());
 }
-template <> inline vfloat32m1_t load(const float *p) {
-    return __riscv_vle32_v_f32m1(p, __riscv_vsetvlmax_e32m1());
-}
-template <> inline vfloat32m2_t load(const float *p) {
-    return __riscv_vle32_v_f32m2(p, __riscv_vsetvlmax_e32m2());
-}
-template <> inline vfloat32m4_t load(const float *p) {
-    return __riscv_vle32_v_f32m4(p, __riscv_vsetvlmax_e32m4());
-}
-template <> inline vfloat32m8_t load(const float *p) {
-    return __riscv_vle32_v_f32m8(p, __riscv_vsetvlmax_e32m8());
-}
 #endif
 
 #if defined(__riscv_zvfbfwma)
@@ -416,23 +424,14 @@ template <> inline vbfloat16m1_t load(const ggml_bf16_t *p) {
 template <> inline vbfloat16m2_t load(const ggml_bf16_t *p) {
     return __riscv_vle16_v_bf16m2(reinterpret_cast<const __bf16*>(p), __riscv_vsetvlmax_e16m2());
 }
+template <> inline vbfloat16m4_t load(const ggml_bf16_t *p) {
+    return __riscv_vle16_v_bf16m4(reinterpret_cast<const __bf16*>(p), __riscv_vsetvlmax_e16m4());
+}
 #endif
 
-#if defined(__riscv_zvfh)
+#if defined(__riscv_v_intrinsic)
 template <typename T> T set_zero();
 
-template <> inline vfloat16mf2_t set_zero() {
-    return __riscv_vfmv_v_f_f16mf2(0, __riscv_vsetvlmax_e16mf2());
-}
-template <> inline vfloat16m1_t set_zero() {
-    return __riscv_vfmv_v_f_f16m1(0, __riscv_vsetvlmax_e16m1());
-}
-template <> inline vfloat16m2_t set_zero() {
-    return __riscv_vfmv_v_f_f16m2(0, __riscv_vsetvlmax_e16m2());
-}
-template <> inline vfloat16m4_t set_zero() {
-    return __riscv_vfmv_v_f_f16m4(0, __riscv_vsetvlmax_e16m4());
-}
 template <> inline vfloat32m1_t set_zero() {
     return __riscv_vfmv_v_f_f32m1(0.0f, __riscv_vsetvlmax_e32m1());
 }
@@ -449,14 +448,22 @@ template <> inline vfloat32m8_t set_zero() {
 
 #if defined(__riscv_v_intrinsic)
 template <typename T> size_t vlmax() {
-    if constexpr (std::is_same_v<T, vfloat16mf2_t>) { return  __riscv_vsetvlmax_e16mf2(); }
-    else if constexpr (std::is_same_v<T, vfloat16m1_t>) { return  __riscv_vsetvlmax_e16m1(); }
-    else if constexpr (std::is_same_v<T, vfloat16m2_t>) { return  __riscv_vsetvlmax_e16m2(); }
-    else if constexpr (std::is_same_v<T, vfloat16m4_t>) { return  __riscv_vsetvlmax_e16m4(); }
-    else if constexpr (std::is_same_v<T, vfloat32m1_t>) { return  __riscv_vsetvlmax_e32m1(); }
+    if constexpr (std::is_same_v<T, vfloat32m1_t>) { return  __riscv_vsetvlmax_e32m1(); }
     else if constexpr (std::is_same_v<T, vfloat32m2_t>) { return  __riscv_vsetvlmax_e32m2(); }
     else if constexpr (std::is_same_v<T, vfloat32m4_t>) { return  __riscv_vsetvlmax_e32m4(); }
     else if constexpr (std::is_same_v<T, vfloat32m8_t>) { return  __riscv_vsetvlmax_e32m8(); }
+    #if defined (__riscv_zvfh)
+    else if constexpr (std::is_same_v<T, vfloat16mf2_t>) { return  __riscv_vsetvlmax_e16mf2(); }
+    else if constexpr (std::is_same_v<T, vfloat16m1_t>) { return  __riscv_vsetvlmax_e16m1(); }
+    else if constexpr (std::is_same_v<T, vfloat16m2_t>) { return  __riscv_vsetvlmax_e16m2(); }
+    else if constexpr (std::is_same_v<T, vfloat16m4_t>) { return  __riscv_vsetvlmax_e16m4(); }
+    #endif
+    #if defined (__riscv_zvfbfwma)
+    else if constexpr (std::is_same_v<T, vbfloat16mf2_t>) { return  __riscv_vsetvlmax_e16mf2(); }
+    else if constexpr (std::is_same_v<T, vbfloat16m1_t>) { return  __riscv_vsetvlmax_e16m1(); }
+    else if constexpr (std::is_same_v<T, vbfloat16m2_t>) { return  __riscv_vsetvlmax_e16m2(); }
+    else if constexpr (std::is_same_v<T, vbfloat16m4_t>) { return  __riscv_vsetvlmax_e16m4(); }
+    #endif
     return 0;
 }
 #endif
@@ -3194,6 +3201,7 @@ class tinyBLAS_PPC {
 
   private:
 
+    __attribute__((always_inline))
     inline void save_acc(acc_t * ACC, int64_t ii, int64_t jj) {
         vec_t vec_C[4];
         __builtin_mma_disassemble_acc(vec_C, ACC);
@@ -3204,6 +3212,7 @@ class tinyBLAS_PPC {
         }
     }
 
+    __attribute__((always_inline))
     inline void add_save_acc(acc_t * ACC, int64_t ii, int64_t jj) {
         vec_t vec_C[4];
         __builtin_mma_disassemble_acc(vec_C, ACC);
@@ -3738,7 +3747,7 @@ bool llamafile_sgemm(const struct ggml_compute_params * params, int64_t m, int64
             params->ith, params->nth};
         tb.matmul(m, n);
         return true;
-#elif defined(__riscv_zvfh)
+#elif defined(__riscv_v_intrinsic)
     #if LMUL == 1
         tinyBLAS_RVV<vfloat32m1_t, vfloat32m1_t, float, float, float> tb{ params,
             k, (const float *)A, lda,
@@ -3802,23 +3811,25 @@ bool llamafile_sgemm(const struct ggml_compute_params * params, int64_t m, int64
             return true;
         }
 #elif defined(__riscv_zvfbfwma)
-        #if LMUL == 1
-            tinyBLAS_RVV<vfloat32m1_t, vbfloat16mf2_t, ggml_bf16_t, ggml_bf16_t, float> tb{ params,
-                k, (const ggml_bf16_t *)A, lda,
-                (const ggml_bf16_t *)B, ldb,
-                (float *)C, ldc};
-        #elif LMUL == 2
-            tinyBLAS_RVV<vfloat32m2_t, vbfloat16m1_t, ggml_bf16_t, ggml_bf16_t, float> tb{ params,
-                k, (const ggml_bf16_t *)A, lda,
-                (const ggml_bf16_t *)B, ldb,
-                (float *)C, ldc};
-        #else // LMUL = 4
-            tinyBLAS_RVV<vfloat32m4_t, vbfloat16m2_t, ggml_bf16_t, ggml_bf16_t, float> tb{ params,
-                k, (const ggml_bf16_t *)A, lda,
-                (const ggml_bf16_t *)B, ldb,
-                (float *)C, ldc};
-        #endif
-            return tb.matmul(m, n);
+        if (Btype == GGML_TYPE_BF16) {
+            #if LMUL == 1
+                tinyBLAS_RVV<vfloat32m1_t, vbfloat16mf2_t, ggml_bf16_t, ggml_bf16_t, float> tb{ params,
+                    k, (const ggml_bf16_t *)A, lda,
+                    (const ggml_bf16_t *)B, ldb,
+                    (float *)C, ldc};
+            #elif LMUL == 2
+                tinyBLAS_RVV<vfloat32m2_t, vbfloat16m1_t, ggml_bf16_t, ggml_bf16_t, float> tb{ params,
+                    k, (const ggml_bf16_t *)A, lda,
+                    (const ggml_bf16_t *)B, ldb,
+                    (float *)C, ldc};
+            #else // LMUL = 4
+                tinyBLAS_RVV<vfloat32m4_t, vbfloat16m2_t, ggml_bf16_t, ggml_bf16_t, float> tb{ params,
+                    k, (const ggml_bf16_t *)A, lda,
+                    (const ggml_bf16_t *)B, ldb,
+                    (float *)C, ldc};
+            #endif
+                return tb.matmul(m, n);
+        }
 #endif
         return false;
     }
diff --git a/ggml/src/ggml-cpu/ops.cpp b/ggml/src/ggml-cpu/ops.cpp
index 3f85e531daa6c2fec4d9460c222abf53b2cd71ac..a9bc21da6f0f632f2795034f4539c567a1147547 100644
--- a/ggml/src/ggml-cpu/ops.cpp
+++ b/ggml/src/ggml-cpu/ops.cpp
@@ -664,6 +664,7 @@ void ggml_compute_forward_add(
             {
                 ggml_compute_forward_add_non_quantized(params, dst);
             } break;
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -1113,6 +1114,7 @@ void ggml_compute_forward_add1(
                     GGML_ABORT("fatal error");
                 }
             } break;
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -1242,6 +1244,7 @@ void ggml_compute_forward_acc(
             } break;
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -4331,6 +4334,7 @@ void ggml_compute_forward_out_prod(
     const ggml_tensor * src0 = dst->src[0];
 
     switch (src0->type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -4606,6 +4610,7 @@ void ggml_compute_forward_set(
             } break;
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -4829,6 +4834,7 @@ void ggml_compute_forward_get_rows(
     const ggml_tensor * src0 = dst->src[0];
 
     switch (src0->type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -5554,6 +5560,7 @@ void ggml_compute_forward_clamp(
                 ggml_compute_forward_clamp_f16(params, dst);
             } break;
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6923,16 +6930,15 @@ void ggml_compute_forward_conv_3d(
     ggml_compute_forward_conv_3d_impl(params, src0, src1, dst, src0->type);
 }
 
-// ggml_compute_forward_conv_transpose_2d
-
-void ggml_compute_forward_conv_transpose_2d(
-        const ggml_compute_params * params,
-              ggml_tensor * dst) {
+template <typename kernel_t>
+static void ggml_compute_forward_conv_transpose_2d_impl(
+    const ggml_compute_params * params,
+          ggml_tensor * dst) {
 
     const ggml_tensor * src0 = dst->src[0];
     const ggml_tensor * src1 = dst->src[1];
 
-    GGML_ASSERT(src0->type == GGML_TYPE_F16);
+    GGML_ASSERT(src0->type == GGML_TYPE_F16 || src0->type == GGML_TYPE_F32);
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -6943,7 +6949,7 @@ void ggml_compute_forward_conv_transpose_2d(
 
     const int nk = ne00*ne01*ne02*ne03;
 
-    GGML_ASSERT(nb00 == sizeof(ggml_fp16_t));
+    GGML_ASSERT(nb00 == ggml_type_size(src0->type));
     GGML_ASSERT(nb10 == sizeof(float));
 
     if (ith == 0) {
@@ -6951,12 +6957,12 @@ void ggml_compute_forward_conv_transpose_2d(
 
         // permute kernel data (src0) from (Kw x Kh x Cout x Cin) to (Cin x Kw x Kh x Cout)
         {
-            ggml_fp16_t * const wdata = (ggml_fp16_t *) params->wdata + 0;
+            kernel_t * const wdata = (kernel_t *) params->wdata + 0;
 
             for (int64_t i03 = 0; i03 < ne03; i03++) {
                 for (int64_t i02 = 0; i02 < ne02; i02++) {
-                    const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i03*nb03 + i02*nb02);
-                    ggml_fp16_t * dst_data = wdata + i02*ne01*ne00*ne03;
+                    const kernel_t * const src = (kernel_t *)((char *) src0->data + i03*nb03 + i02*nb02);
+                    kernel_t * dst_data = wdata + i02*ne01*ne00*ne03;
                     for (int64_t i01 = 0; i01 < ne01; i01++) {
                         for (int64_t i00 = 0; i00 < ne00; i00++) {
                             dst_data[i01*ne00*ne03 + i00*ne03 + i03] = src[i01 * ne00 + i00];
@@ -6968,13 +6974,17 @@ void ggml_compute_forward_conv_transpose_2d(
 
         // permute source data (src1) from (Sw x Sh x Cin) to (Cin x Sw x Sh)
         {
-            ggml_fp16_t * const wdata = (ggml_fp16_t *) params->wdata + nk;
+            kernel_t * const wdata = (kernel_t *) params->wdata + nk;
             for (int i12 = 0; i12 < ne12; i12++) {
                 for (int i11 = 0; i11 < ne11; i11++) {
                     const float * const src = (float *)((char *) src1->data + i12*nb12 + i11*nb11);
-                    ggml_fp16_t * dst_data = wdata + i11*ne10*ne12;
+                    kernel_t * dst_data = wdata + i11*ne10*ne12;
                     for (int i10 = 0; i10 < ne10; i10++) {
-                        dst_data[i10*ne12 + i12] = GGML_CPU_FP32_TO_FP16(src[i10]);
+                        if constexpr (std::is_same_v<kernel_t, ggml_fp16_t>) {
+                            dst_data[i10*ne12 + i12] = GGML_CPU_FP32_TO_FP16(src[i10]);
+                        } else {
+                            dst_data[i10*ne12 + i12] = src[i10];
+                        }
                     }
                 }
             }
@@ -6996,21 +7006,27 @@ void ggml_compute_forward_conv_transpose_2d(
     const int ip0 = dp*ith;
     const int ip1 = MIN(ip0 + dp, np);
 
-    ggml_fp16_t * const wdata = (ggml_fp16_t *) params->wdata + 0;
-    ggml_fp16_t * const wdata_src = wdata + nk;
+    kernel_t * const wdata = (kernel_t *) params->wdata + 0;
+    kernel_t * const wdata_src = wdata + nk;
 
     for (int i2 = ip0; i2 < ip1; i2++) { // Cout
         float * dst_data = (float *)((char *) dst->data + i2*nb2);
-        ggml_fp16_t * wdata_kernel = wdata + i2*ne01*ne00*ne03;
+        kernel_t * wdata_kernel = wdata + i2*ne01*ne00*ne03;
         for (int i11 = 0; i11 < ne11; i11++) {
             for (int i10 = 0; i10 < ne10; i10++) {
                 const int i1n = i11*ne10*ne12 + i10*ne12;
                 for (int i01 = 0; i01 < ne01; i01++) {
                     for (int i00 = 0; i00 < ne00; i00++) {
                         float v = 0;
-                        ggml_vec_dot_f16(ne03, &v, 0,
-                                wdata_src + i1n, 0,
-                                wdata_kernel + i01*ne00*ne03 + i00*ne03, 0, 1);
+                        if constexpr (std::is_same_v<kernel_t, ggml_fp16_t>) {
+                            ggml_vec_dot_f16(ne03, &v, 0,
+                                    wdata_src + i1n, 0,
+                                    wdata_kernel + i01*ne00*ne03 + i00*ne03, 0, 1);
+                        } else {
+                            ggml_vec_dot_f32(ne03, &v, 0,
+                                    wdata_src + i1n, 0,
+                                    wdata_kernel + i01*ne00*ne03 + i00*ne03, 0, 1);
+                        }
                         dst_data[(i11*stride + i01)*ne0 + i10*stride + i00] += v;
                     }
                 }
@@ -7019,6 +7035,28 @@ void ggml_compute_forward_conv_transpose_2d(
     }
 }
 
+void ggml_compute_forward_conv_transpose_2d(
+        const ggml_compute_params * params,
+              ggml_tensor * dst) {
+
+    const ggml_tensor * src0 = dst->src[0];
+
+    switch (src0->type) {
+        case GGML_TYPE_F16:
+            {
+                ggml_compute_forward_conv_transpose_2d_impl<ggml_fp16_t>(params, dst);
+            } break;
+        case GGML_TYPE_F32:
+            {
+                ggml_compute_forward_conv_transpose_2d_impl<float>(params, dst);
+            } break;
+        default:
+            {
+                GGML_ABORT("fatal error");
+            }
+    }
+}
+
 // ggml_compute_forward_conv_2d_dw
 
 struct ggml_conv_2d_dw_params {
@@ -9922,13 +9960,9 @@ static void ggml_compute_forward_rwkv_wkv6_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-    if (ith >= HEADS) {
-        return;
-    }
-
-    const int h_start = (HEADS * ith) / nth;
-    const int h_end = ((HEADS * (ith + 1)) / nth < HEADS) ?
-                (HEADS * (ith + 1)) / nth : HEADS;
+    const int h_start =  (HEADS * (ith    )) / nth;
+    const int h_end   = ((HEADS * (ith + 1)) / nth < HEADS) ?
+                         (HEADS * (ith + 1)) / nth : HEADS;
 
     float * k =          (float *) dst->src[0]->data;
     float * v =          (float *) dst->src[1]->data;
@@ -10139,13 +10173,9 @@ static void ggml_compute_forward_gla_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-    if (ith >= HEADS) {
-        return;
-    }
-
-    const int h_start = (HEADS * ith) / nth;
-    const int h_end = ((HEADS * (ith + 1)) / nth < HEADS) ?
-                (HEADS * (ith + 1)) / nth : HEADS;
+    const int h_start =  (HEADS * (ith    )) / nth;
+    const int h_end   = ((HEADS * (ith + 1)) / nth < HEADS) ?
+                         (HEADS * (ith + 1)) / nth : HEADS;
 
     float * k = (float *) dst->src[0]->data;
     float * v = (float *) dst->src[1]->data;
@@ -10602,13 +10632,9 @@ static void ggml_compute_forward_rwkv_wkv7_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-    if (ith >= HEADS) {
-        return;
-    }
-
-    const int h_start = (HEADS * ith) / nth;
-    const int h_end = ((HEADS * (ith + 1)) / nth < HEADS) ?
-                (HEADS * (ith + 1)) / nth : HEADS;
+    const int h_start =  (HEADS * (ith    )) / nth;
+    const int h_end   = ((HEADS * (ith + 1)) / nth < HEADS) ?
+                         (HEADS * (ith + 1)) / nth : HEADS;
 
     float * r = (float *) dst->src[0]->data;
     float * w = (float *) dst->src[1]->data;
diff --git a/ggml/src/ggml-cpu/quants.c b/ggml/src/ggml-cpu/quants.c
index 7ebbb9c6f15bd070f257a1d42188bf2b24aadd36..e5f9a4083f9ce0fa5bd30aa652c9525a6e6ddf54 100644
--- a/ggml/src/ggml-cpu/quants.c
+++ b/ggml/src/ggml-cpu/quants.c
@@ -22,6 +22,10 @@
 
 #define UNUSED GGML_UNUSED
 
+void quantize_row_q1_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) {
+    quantize_row_q1_0_ref(x, y, k);
+}
+
 void quantize_row_q4_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) {
     quantize_row_q4_0_ref(x, y, k);
 }
@@ -116,6 +120,57 @@ void quantize_row_q8_K_generic(const float * GGML_RESTRICT x, void * GGML_RESTRI
 
 //===================================== Dot products =================================
 
+void ggml_vec_dot_q1_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    const int qk = QK1_0;
+    const int nb = n / qk;
+
+    assert(n % qk == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_q1_0 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+    float sumf = 0.0;
+
+    for (int i = 0; i < nb; i++) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[i].d);
+
+        float sumi = 0.0f;
+
+        for (int k = 0; k < 4; k++) {
+            const block_q8_0 * GGML_RESTRICT yb = &y[i * 4 + k];
+            const float d1 = GGML_CPU_FP16_TO_FP32(yb->d);
+            int sumi_block = 0;
+
+            const uint8_t * GGML_RESTRICT bits = &x[i].qs[k * 4];
+            const int8_t  * GGML_RESTRICT qy   = yb->qs;
+
+            for (int b = 0; b < 4; ++b, qy += 8) {
+                const unsigned mask = bits[b];
+                sumi_block += ((mask & 0x01) ? qy[0] : -qy[0])
+                           +  ((mask & 0x02) ? qy[1] : -qy[1])
+                           +  ((mask & 0x04) ? qy[2] : -qy[2])
+                           +  ((mask & 0x08) ? qy[3] : -qy[3])
+                           +  ((mask & 0x10) ? qy[4] : -qy[4])
+                           +  ((mask & 0x20) ? qy[5] : -qy[5])
+                           +  ((mask & 0x40) ? qy[6] : -qy[6])
+                           +  ((mask & 0x80) ? qy[7] : -qy[7]);
+            }
+
+            sumi += d1 * sumi_block;
+        }
+
+        sumf += d0 * sumi;
+    }
+
+    *s = sumf;
+}
+
+
 void ggml_vec_dot_q4_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
diff --git a/ggml/src/ggml-cpu/quants.h b/ggml/src/ggml-cpu/quants.h
index 3584aaa43e8c60d814bd34c106e5142b287e6d8c..d4bc87a1c052603adc1f4c9f4dadde6d73594108 100644
--- a/ggml/src/ggml-cpu/quants.h
+++ b/ggml/src/ggml-cpu/quants.h
@@ -12,6 +12,7 @@ extern "C" {
 #endif
 
 // Quantization
+void quantize_row_q1_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q4_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q4_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q5_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
@@ -36,6 +37,7 @@ void quantize_row_iq4_nl (const float * GGML_RESTRICT x, void * GGML_RESTRICT y,
 void quantize_row_iq4_xs (const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 
 // Dot product
+void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
@@ -68,6 +70,7 @@ void ggml_vec_dot_iq3_s_q8_K  (int n, float * GGML_RESTRICT s, size_t bs, const
 void quantize_row_q8_0_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
 void quantize_row_q8_1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
 void quantize_row_q8_K_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
+void ggml_vec_dot_q1_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_1_q8_1_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q5_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
diff --git a/ggml/src/ggml-cpu/simd-gemm.h b/ggml/src/ggml-cpu/simd-gemm.h
index 78d663e593e2356104534f4cf4bcffdf05e8bf7d..4119d04f895a8d91ad0ba60b798adb9fd61568d0 100644
--- a/ggml/src/ggml-cpu/simd-gemm.h
+++ b/ggml/src/ggml-cpu/simd-gemm.h
@@ -109,6 +109,96 @@ static void simd_gemm(
         C += N;
     }
 }
+#elif defined(GGML_SIMD) && defined(__riscv_v_intrinsic)
+// RM accumulators + 1 B vector = RM + 1 <= 8  =>  RM <= 7
+// Microkernel: C[RM x vl] += A[RM x K] * B[K x N]
+template <int RM>
+static inline void rvv_simd_gemm_ukernel(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int K, int N, size_t vl)
+{
+    static_assert(RM >= 1 && RM <= 7, "RM must be 1..7 for LMUL=4");
+
+    vfloat32m4_t acc_0 = __riscv_vle32_v_f32m4(C + 0 * N, vl);
+    vfloat32m4_t acc_1, acc_2, acc_3, acc_4, acc_5, acc_6;
+    if constexpr (RM > 1) acc_1 = __riscv_vle32_v_f32m4(C + 1 * N, vl);
+    if constexpr (RM > 2) acc_2 = __riscv_vle32_v_f32m4(C + 2 * N, vl);
+    if constexpr (RM > 3) acc_3 = __riscv_vle32_v_f32m4(C + 3 * N, vl);
+    if constexpr (RM > 4) acc_4 = __riscv_vle32_v_f32m4(C + 4 * N, vl);
+    if constexpr (RM > 5) acc_5 = __riscv_vle32_v_f32m4(C + 5 * N, vl);
+    if constexpr (RM > 6) acc_6 = __riscv_vle32_v_f32m4(C + 6 * N, vl);
+
+    for (int kk = 0; kk < K; kk++) {
+        vfloat32m4_t b_0 = __riscv_vle32_v_f32m4(B + kk * N, vl);
+
+                              acc_0 = __riscv_vfmacc_vf_f32m4(acc_0, A[0 * K + kk], b_0, vl);
+        if constexpr (RM > 1) acc_1 = __riscv_vfmacc_vf_f32m4(acc_1, A[1 * K + kk], b_0, vl);
+        if constexpr (RM > 2) acc_2 = __riscv_vfmacc_vf_f32m4(acc_2, A[2 * K + kk], b_0, vl);
+        if constexpr (RM > 3) acc_3 = __riscv_vfmacc_vf_f32m4(acc_3, A[3 * K + kk], b_0, vl);
+        if constexpr (RM > 4) acc_4 = __riscv_vfmacc_vf_f32m4(acc_4, A[4 * K + kk], b_0, vl);
+        if constexpr (RM > 5) acc_5 = __riscv_vfmacc_vf_f32m4(acc_5, A[5 * K + kk], b_0, vl);
+        if constexpr (RM > 6) acc_6 = __riscv_vfmacc_vf_f32m4(acc_6, A[6 * K + kk], b_0, vl);
+    }
+
+                          __riscv_vse32_v_f32m4(C + 0 * N, acc_0, vl);
+    if constexpr (RM > 1) __riscv_vse32_v_f32m4(C + 1 * N, acc_1, vl);
+    if constexpr (RM > 2) __riscv_vse32_v_f32m4(C + 2 * N, acc_2, vl);
+    if constexpr (RM > 3) __riscv_vse32_v_f32m4(C + 3 * N, acc_3, vl);
+    if constexpr (RM > 4) __riscv_vse32_v_f32m4(C + 4 * N, acc_4, vl);
+    if constexpr (RM > 5) __riscv_vse32_v_f32m4(C + 5 * N, acc_5, vl);
+    if constexpr (RM > 6) __riscv_vse32_v_f32m4(C + 6 * N, acc_6, vl);
+}
+
+template <int RM>
+static inline void rvv_simd_gemm_dispatch_tail(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int K, int N, int KN, int remaining_rows)
+{
+    if constexpr (RM > 0) {
+        if (remaining_rows == RM) {
+            int64_t jj = 0;
+            for (; jj + KN <= N; jj += KN) {
+                rvv_simd_gemm_ukernel<RM>(C + jj, A, B + jj, K, N, KN);
+            }
+            if (jj < N) {
+                rvv_simd_gemm_ukernel<RM>(C + jj, A, B + jj, K, N, N - jj);
+            }
+        } else {
+            rvv_simd_gemm_dispatch_tail<RM - 1>(C, A, B, K, N, KN, remaining_rows);
+        }
+    }
+}
+
+static constexpr int GEMM_RM = 7;
+
+// C[M x N] += A[M x K] * B[K x N]
+static void simd_gemm(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int M, int K, int N)
+{
+    const int KN = (int)__riscv_vlenb();
+    int64_t ii = 0;
+    for (; ii + GEMM_RM <= M; ii += GEMM_RM) {
+        int64_t jj = 0;
+        for (; jj + KN <= N; jj += KN) {
+            rvv_simd_gemm_ukernel<GEMM_RM>(C + jj, A, B + jj, K, N, KN);
+        }
+        if (jj < N) {
+            rvv_simd_gemm_ukernel<GEMM_RM>(C + jj, A, B + jj, K, N, N - jj);
+        }
+        A += GEMM_RM * K;
+        C += GEMM_RM * N;
+    }
+
+    int remaining_rows = M - ii;
+    rvv_simd_gemm_dispatch_tail<GEMM_RM - 1>(C, A, B, K, N, KN, remaining_rows);
+}
 
 #if defined(__GNUC__) && !defined(__clang__)
 #pragma GCC diagnostic pop
diff --git a/ggml/src/ggml-cpu/vec.h b/ggml/src/ggml-cpu/vec.h
index 3198b33b5095eabab73e0477a135b54f6ea608f6..a0375a28de09458fd86195d79e14109de9242265 100644
--- a/ggml/src/ggml-cpu/vec.h
+++ b/ggml/src/ggml-cpu/vec.h
@@ -126,7 +126,7 @@ inline static void ggml_vec_dot_f16_unroll(const int n, const int xs, float * GG
         const int ggml_f16_epr = sve_register_length / 16; // running when 16
         const int ggml_f16_step = 8 * ggml_f16_epr; // choose 8 SVE registers
 
-        const int np = (n & ~(ggml_f16_step - 1));
+        int np = (n & ~(ggml_f16_step - 1));
 
         svfloat16_t sum_00 = svdup_n_f16(0.0f);
         svfloat16_t sum_01 = svdup_n_f16(0.0f);
@@ -224,71 +224,75 @@ inline static void ggml_vec_dot_f16_unroll(const int n, const int xs, float * GG
         }
         GGML_F16x_VEC_REDUCE(sumf[0], sum_00, sum_01, sum_02, sum_03);
         GGML_F16x_VEC_REDUCE(sumf[1], sum_10, sum_11, sum_12, sum_13);
+        np = n;
+    #elif defined(__riscv_v_intrinsic)
+        #if defined(__riscv_zvfh)
+            size_t vl = __riscv_vsetvlmax_e32m4();
+
+            // initialize accumulators to all zeroes
+            vfloat32m4_t vsum0_0 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
+            vfloat32m4_t vsum0_1 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
+            vfloat32m4_t vsum1_0 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
+            vfloat32m4_t vsum1_1 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
+
+            // calculate step size
+            const size_t epr = __riscv_vsetvlmax_e16m2();
+            const size_t step = epr * 2;
+            int np = (n & ~(step - 1));
+
+            // unroll by 2 along the row dimension
+            for (int i = 0; i < np; i += step) {
+                vfloat16m2_t ay0 = __riscv_vle16_v_f16m2((const _Float16 *)(y + i), epr);
+                vfloat16m2_t ax0_0 = __riscv_vle16_v_f16m2((const _Float16 *)(x[0] + i), epr);
+                vfloat16m2_t ax1_0 = __riscv_vle16_v_f16m2((const _Float16 *)(x[1] + i), epr);
+                vsum0_0 = __riscv_vfwmacc_vv_f32m4(vsum0_0, ax0_0, ay0, epr);
+                vsum1_0 = __riscv_vfwmacc_vv_f32m4(vsum1_0, ax1_0, ay0, epr);
+
+                vfloat16m2_t ay1 = __riscv_vle16_v_f16m2((const _Float16 *)(y + i + epr), epr);
+                vfloat16m2_t ax0_1 = __riscv_vle16_v_f16m2((const _Float16 *)(x[0] + i + epr), epr);
+                vfloat16m2_t ax1_1 = __riscv_vle16_v_f16m2((const _Float16 *)(x[1] + i + epr), epr);
+                vsum0_1 = __riscv_vfwmacc_vv_f32m4(vsum0_1, ax0_1, ay1, epr);
+                vsum1_1 = __riscv_vfwmacc_vv_f32m4(vsum1_1, ax1_1, ay1, epr);
+            }
 
-    #elif defined(__riscv_v_intrinsic) && defined(__riscv_zvfh)
-        size_t vl = __riscv_vsetvlmax_e32m4();
-
-        // initialize accumulators to all zeroes
-        vfloat32m4_t vsum0_0 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
-        vfloat32m4_t vsum0_1 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
-        vfloat32m4_t vsum1_0 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
-        vfloat32m4_t vsum1_1 = __riscv_vfmv_v_f_f32m4(0.0f, vl);
-
-        // calculate step size
-        const size_t epr = __riscv_vsetvlmax_e16m2();
-        const size_t step = epr * 2;
-        const int np = (n & ~(step - 1));
-
-        // unroll by 2 along the row dimension
-        for (int i = 0; i < np; i += step) {
-            vfloat16m2_t ay0 = __riscv_vle16_v_f16m2((const _Float16 *)(y + i), epr);
-            vfloat16m2_t ax0_0 = __riscv_vle16_v_f16m2((const _Float16 *)(x[0] + i), epr);
-            vfloat16m2_t ax1_0 = __riscv_vle16_v_f16m2((const _Float16 *)(x[1] + i), epr);
-            vsum0_0 = __riscv_vfwmacc_vv_f32m4(vsum0_0, ax0_0, ay0, epr);
-            vsum1_0 = __riscv_vfwmacc_vv_f32m4(vsum1_0, ax1_0, ay0, epr);
-
-            vfloat16m2_t ay1 = __riscv_vle16_v_f16m2((const _Float16 *)(y + i + epr), epr);
-            vfloat16m2_t ax0_1 = __riscv_vle16_v_f16m2((const _Float16 *)(x[0] + i + epr), epr);
-            vfloat16m2_t ax1_1 = __riscv_vle16_v_f16m2((const _Float16 *)(x[1] + i + epr), epr);
-            vsum0_1 = __riscv_vfwmacc_vv_f32m4(vsum0_1, ax0_1, ay1, epr);
-            vsum1_1 = __riscv_vfwmacc_vv_f32m4(vsum1_1, ax1_1, ay1, epr);
-        }
-
-        vfloat32m4_t vsum0 = __riscv_vfadd_vv_f32m4(vsum0_0, vsum0_1, vl);
-        vfloat32m4_t vsum1 = __riscv_vfadd_vv_f32m4(vsum1_0, vsum1_1, vl);
-
-        // leftovers
-        for (int i = np; i < n; i += vl) {
-            vl = __riscv_vsetvl_e16m2(n - i);
-            vfloat16m2_t ay = __riscv_vle16_v_f16m2((const _Float16 *)(y + i), vl);
-            vfloat16m2_t ax0 = __riscv_vle16_v_f16m2((const _Float16 *)(x[0] + i), vl);
-            vfloat16m2_t ax1 = __riscv_vle16_v_f16m2((const _Float16 *)(x[1] + i), vl);
+            vfloat32m4_t vsum0 = __riscv_vfadd_vv_f32m4(vsum0_0, vsum0_1, vl);
+            vfloat32m4_t vsum1 = __riscv_vfadd_vv_f32m4(vsum1_0, vsum1_1, vl);
 
-            vsum0 = __riscv_vfwmacc_vv_f32m4(vsum0, ax0, ay, vl);
-            vsum1 = __riscv_vfwmacc_vv_f32m4(vsum1, ax1, ay, vl);
-        }
+            // leftovers
+            for (int i = np; i < n; i += vl) {
+                vl = __riscv_vsetvl_e16m2(n - i);
+                vfloat16m2_t ay = __riscv_vle16_v_f16m2((const _Float16 *)(y + i), vl);
+                vfloat16m2_t ax0 = __riscv_vle16_v_f16m2((const _Float16 *)(x[0] + i), vl);
+                vfloat16m2_t ax1 = __riscv_vle16_v_f16m2((const _Float16 *)(x[1] + i), vl);
 
-        // reduce
-        vl = __riscv_vsetvlmax_e32m2();
-        vfloat32m2_t acc0_0 = __riscv_vfadd_vv_f32m2(__riscv_vget_v_f32m4_f32m2(vsum0, 0),
-                                    __riscv_vget_v_f32m4_f32m2(vsum0, 1), vl);
-        vl = __riscv_vsetvlmax_e32m1();
-        vfloat32m1_t acc0_1 = __riscv_vfadd_vv_f32m1(__riscv_vget_v_f32m2_f32m1(acc0_0, 0),
-        __riscv_vget_v_f32m2_f32m1(acc0_0, 1), vl);
-        vfloat32m1_t redsum0 = __riscv_vfredusum_vs_f32m1_f32m1(
-                                    acc0_1, __riscv_vfmv_v_f_f32m1(0.0f, 1), vl);
-
-        vl = __riscv_vsetvlmax_e32m2();
-        vfloat32m2_t acc1_0 = __riscv_vfadd_vv_f32m2(__riscv_vget_v_f32m4_f32m2(vsum1, 0),
-                                    __riscv_vget_v_f32m4_f32m2(vsum1, 1), vl);
-        vl = __riscv_vsetvlmax_e32m1();
-        vfloat32m1_t acc1_1 = __riscv_vfadd_vv_f32m1(__riscv_vget_v_f32m2_f32m1(acc1_0, 0),
-                                    __riscv_vget_v_f32m2_f32m1(acc1_0, 1), vl);
-        vfloat32m1_t redsum1 = __riscv_vfredusum_vs_f32m1_f32m1(
-                                    acc1_1, __riscv_vfmv_v_f_f32m1(0.0f, 1), vl);
-        sumf[0] = __riscv_vfmv_f_s_f32m1_f32(redsum0);
-        sumf[1] = __riscv_vfmv_f_s_f32m1_f32(redsum1);
+                vsum0 = __riscv_vfwmacc_vv_f32m4(vsum0, ax0, ay, vl);
+                vsum1 = __riscv_vfwmacc_vv_f32m4(vsum1, ax1, ay, vl);
+            }
 
+            // reduce
+            vl = __riscv_vsetvlmax_e32m2();
+            vfloat32m2_t acc0_0 = __riscv_vfadd_vv_f32m2(__riscv_vget_v_f32m4_f32m2(vsum0, 0),
+                                        __riscv_vget_v_f32m4_f32m2(vsum0, 1), vl);
+            vl = __riscv_vsetvlmax_e32m1();
+            vfloat32m1_t acc0_1 = __riscv_vfadd_vv_f32m1(__riscv_vget_v_f32m2_f32m1(acc0_0, 0),
+            __riscv_vget_v_f32m2_f32m1(acc0_0, 1), vl);
+            vfloat32m1_t redsum0 = __riscv_vfredusum_vs_f32m1_f32m1(
+                                        acc0_1, __riscv_vfmv_v_f_f32m1(0.0f, 1), vl);
+
+            vl = __riscv_vsetvlmax_e32m2();
+            vfloat32m2_t acc1_0 = __riscv_vfadd_vv_f32m2(__riscv_vget_v_f32m4_f32m2(vsum1, 0),
+                                        __riscv_vget_v_f32m4_f32m2(vsum1, 1), vl);
+            vl = __riscv_vsetvlmax_e32m1();
+            vfloat32m1_t acc1_1 = __riscv_vfadd_vv_f32m1(__riscv_vget_v_f32m2_f32m1(acc1_0, 0),
+                                        __riscv_vget_v_f32m2_f32m1(acc1_0, 1), vl);
+            vfloat32m1_t redsum1 = __riscv_vfredusum_vs_f32m1_f32m1(
+                                        acc1_1, __riscv_vfmv_v_f_f32m1(0.0f, 1), vl);
+            sumf[0] = __riscv_vfmv_f_s_f32m1_f32(redsum0);
+            sumf[1] = __riscv_vfmv_f_s_f32m1_f32(redsum1);
+            np = n;
+        #else
+            const int np = 0;
+        #endif
     #else
         const int np = (n & ~(GGML_F16_STEP - 1));
 
@@ -313,21 +317,17 @@ inline static void ggml_vec_dot_f16_unroll(const int n, const int xs, float * GG
         for (int k = 0; k < GGML_VEC_DOT_UNROLL; ++k) {
             GGML_F16_VEC_REDUCE(sumf[k], sum[k]);
         }
-
-        // leftovers
-        for (int i = np; i < n; ++i) {
-            for (int j = 0; j < GGML_VEC_DOT_UNROLL; ++j) {
-                sumf[j] += (ggml_float)(GGML_CPU_FP16_TO_FP32(x[j][i])*GGML_CPU_FP16_TO_FP32(y[i]));
-            }
-        }
     #endif
 #else
-    for (int i = 0; i < n; ++i) {
+    // scalar path
+    const int np = 0;
+#endif
+    // scalar and leftovers
+    for (int i = np; i < n; ++i) {
         for (int j = 0; j < GGML_VEC_DOT_UNROLL; ++j) {
             sumf[j] += (ggml_float)(GGML_CPU_FP16_TO_FP32(x[j][i])*GGML_CPU_FP16_TO_FP32(y[i]));
         }
     }
-#endif
 
     for (int i = 0; i < GGML_VEC_DOT_UNROLL; ++i) {
         s[i] = (float)sumf[i];
@@ -532,40 +532,45 @@ inline static void ggml_vec_mad_f16(const int n, ggml_fp16_t * GGML_RESTRICT y,
         svst1_f16(pg, (__fp16 *)(y + np2), hy);
     }
     np = n;
-#elif defined(__riscv_zvfh) // implies __riscv_v_intrinsic
-    const ggml_fp16_t s = GGML_CPU_FP32_TO_FP16(v);
-    const _Float16 scale = *(const _Float16*)(&s);
-
-    // calculate step size
-    const int epr = __riscv_vsetvlmax_e16m4();
-    const int step = epr * 2;
-    int np = (n & ~(step - 1));
-
-    // unroll by 2
-    for (int i = 0; i < np; i += step) {
-        vfloat16m4_t ax0 = __riscv_vle16_v_f16m4((const _Float16*)x + i, epr);
-        vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, epr);
-        ay0 = __riscv_vfmacc_vf_f16m4(ay0, scale, ax0, epr);
-        __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, epr);
-        __asm__ __volatile__ ("" ::: "memory");
-
-        vfloat16m4_t ax1 = __riscv_vle16_v_f16m4((const _Float16*)x + i + epr, epr);
-        vfloat16m4_t ay1 = __riscv_vle16_v_f16m4((const _Float16*)y + i + epr, epr);
-        ay1 = __riscv_vfmacc_vf_f16m4(ay1, scale, ax1, epr);
-        __riscv_vse16_v_f16m4((_Float16*)y + i + epr, ay1, epr);
-        __asm__ __volatile__ ("" ::: "memory");
-    }
+#elif defined(__riscv_v_intrinsic) // implies __riscv_v_intrinsic
+    #if defined (__riscv_zvfh)
+        const ggml_fp16_t s = GGML_CPU_FP32_TO_FP16(v);
+        const _Float16 scale = *(const _Float16*)(&s);
 
-    // leftovers
-    int vl;
-    for (int i = np; i < n; i += vl) {
-        vl = __riscv_vsetvl_e16m4(n - i);
-        vfloat16m4_t ax0 = __riscv_vle16_v_f16m4((const _Float16*)x + i, vl);
-        vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, vl);
-        ay0 = __riscv_vfmacc_vf_f16m4(ay0, scale, ax0, vl);
-        __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, vl);
-    }
-    np = n;
+        // calculate step size
+        const int epr = __riscv_vsetvlmax_e16m4();
+        const int step = epr * 2;
+        int np = (n & ~(step - 1));
+
+        // unroll by 2
+        for (int i = 0; i < np; i += step) {
+            vfloat16m4_t ax0 = __riscv_vle16_v_f16m4((const _Float16*)x + i, epr);
+            vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, epr);
+            ay0 = __riscv_vfmacc_vf_f16m4(ay0, scale, ax0, epr);
+            __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, epr);
+            __asm__ __volatile__ ("" ::: "memory");
+
+            vfloat16m4_t ax1 = __riscv_vle16_v_f16m4((const _Float16*)x + i + epr, epr);
+            vfloat16m4_t ay1 = __riscv_vle16_v_f16m4((const _Float16*)y + i + epr, epr);
+            ay1 = __riscv_vfmacc_vf_f16m4(ay1, scale, ax1, epr);
+            __riscv_vse16_v_f16m4((_Float16*)y + i + epr, ay1, epr);
+            __asm__ __volatile__ ("" ::: "memory");
+        }
+
+        // leftovers
+        int vl;
+        for (int i = np; i < n; i += vl) {
+            vl = __riscv_vsetvl_e16m4(n - i);
+            vfloat16m4_t ax0 = __riscv_vle16_v_f16m4((const _Float16*)x + i, vl);
+            vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, vl);
+            ay0 = __riscv_vfmacc_vf_f16m4(ay0, scale, ax0, vl);
+            __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, vl);
+        }
+        np = n;
+    #else
+        // fall to scalar path
+        const int np = 0;
+    #endif
 #elif defined(GGML_SIMD)
     const int np = (n & ~(GGML_F16_STEP - 1));
 
@@ -584,10 +589,11 @@ inline static void ggml_vec_mad_f16(const int n, ggml_fp16_t * GGML_RESTRICT y,
         }
     }
 #else
+    // scalar path
     const int np = 0;
 #endif
 
-    // leftovers
+    // scalar and leftovers
     for (int i = np; i < n; ++i) {
         y[i] = GGML_CPU_FP32_TO_FP16(GGML_CPU_FP16_TO_FP32(y[i]) + GGML_CPU_FP16_TO_FP32(x[i])*v);
     }
@@ -785,7 +791,7 @@ inline static void ggml_vec_scale_f16(const int n, ggml_fp16_t * y, const float
     const int ggml_f16_step = 2 * ggml_f16_epr;
 
     GGML_F16x_VEC vx =  GGML_F16x_VEC_SET1(v);
-    const int np = (n & ~(ggml_f16_step - 1));
+    int np = (n & ~(ggml_f16_step - 1));
     svfloat16_t ay1, ay2;
 
     for (int i = 0; i < np; i += ggml_f16_step) {
@@ -805,36 +811,43 @@ inline static void ggml_vec_scale_f16(const int n, ggml_fp16_t * y, const float
         svfloat16_t out = svmul_f16_m(pg, hy, vx);
         svst1_f16(pg, (__fp16 *)(y + np), out);
     }
-#elif defined(__riscv_v_intrinsic) && defined(__riscv_zvfh)
-    const ggml_fp16_t s = GGML_CPU_FP32_TO_FP16(v);
-    const _Float16 scale = *(const _Float16*)(&s);
-
-    // calculate step size
-    const int epr = __riscv_vsetvlmax_e16m4();
-    const int step = epr * 2;
-    const int np = (n & ~(step - 1));
+    np = n;
+#elif defined(__riscv_v_intrinsic)
+    #if defined(__riscv_zvfh)
+        const ggml_fp16_t s = GGML_CPU_FP32_TO_FP16(v);
+        const _Float16 scale = *(const _Float16*)(&s);
 
-    // unroll by 2
-    for (int i = 0; i < np; i += step) {
-        vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, epr);
-        ay0 = __riscv_vfmul_vf_f16m4(ay0, scale, epr);
-        __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, epr);
-        __asm__ __volatile__ ("" ::: "memory");
+        // calculate step size
+        const int epr = __riscv_vsetvlmax_e16m4();
+        const int step = epr * 2;
+        int np = (n & ~(step - 1));
 
-        vfloat16m4_t ay1 = __riscv_vle16_v_f16m4((const _Float16*)y + i + epr, epr);
-        ay1 = __riscv_vfmul_vf_f16m4(ay1, scale, epr);
-        __riscv_vse16_v_f16m4((_Float16*)y + i + epr, ay1, epr);
-        __asm__ __volatile__ ("" ::: "memory");
-    }
+        // unroll by 2
+        for (int i = 0; i < np; i += step) {
+            vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, epr);
+            ay0 = __riscv_vfmul_vf_f16m4(ay0, scale, epr);
+            __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, epr);
+            __asm__ __volatile__ ("" ::: "memory");
+
+            vfloat16m4_t ay1 = __riscv_vle16_v_f16m4((const _Float16*)y + i + epr, epr);
+            ay1 = __riscv_vfmul_vf_f16m4(ay1, scale, epr);
+            __riscv_vse16_v_f16m4((_Float16*)y + i + epr, ay1, epr);
+            __asm__ __volatile__ ("" ::: "memory");
+        }
 
-    // leftovers
-    int vl;
-    for (int i = np; i < n; i += vl) {
-        vl = __riscv_vsetvl_e16m4(n - i);
-        vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, vl);
-        ay0 = __riscv_vfmul_vf_f16m4(ay0, scale, vl);
-        __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, vl);
-    }
+        // leftovers
+        int vl;
+        for (int i = np; i < n; i += vl) {
+            vl = __riscv_vsetvl_e16m4(n - i);
+            vfloat16m4_t ay0 = __riscv_vle16_v_f16m4((const _Float16*)y + i, vl);
+            ay0 = __riscv_vfmul_vf_f16m4(ay0, scale, vl);
+            __riscv_vse16_v_f16m4((_Float16*)y + i, ay0, vl);
+        }
+        np = n;
+    #else
+        // fall to scalar path
+        const int np = 0;
+    #endif
 #elif defined(GGML_SIMD)
     const int np = (n & ~(GGML_F16_STEP - 1));
 
@@ -850,17 +863,14 @@ inline static void ggml_vec_scale_f16(const int n, ggml_fp16_t * y, const float
             GGML_F16_VEC_STORE(y + i + j*GGML_F16_EPR, ay, j);
         }
     }
-
-    // leftovers
-    for (int i = np; i < n; ++i) {
-        y[i] = GGML_CPU_FP32_TO_FP16(GGML_CPU_FP16_TO_FP32(y[i])*v);
-    }
 #else
-    // scalar
-    for (int i = 0; i < n; ++i) {
+    // scalar path
+    const int np = 0;
+#endif
+    // scalar and leftovers
+    for (int i = np; i < n; ++i) {
         y[i] = GGML_CPU_FP32_TO_FP16(GGML_CPU_FP16_TO_FP32(y[i])*v);
     }
-#endif
 }
 
 inline static void ggml_vec_norm_f32 (const int n, float * s, const float * x) { ggml_vec_dot_f32(n, s, 0, x, 0, x, 0, 1); *s = sqrtf(*s);   }
diff --git a/ggml/src/ggml-cuda/CMakeLists.txt b/ggml/src/ggml-cuda/CMakeLists.txt
index 262f88204e01cf07a8d8c6bab23efb2b46435dd3..80ca184a44b44daab9e13e43d2ecd25eae4ff964 100644
--- a/ggml/src/ggml-cuda/CMakeLists.txt
+++ b/ggml/src/ggml-cuda/CMakeLists.txt
@@ -1,259 +1,3 @@
-cmake_minimum_required(VERSION 3.18)  # for CMAKE_CUDA_ARCHITECTURES
-
-find_package(CUDAToolkit)
-
-if (CUDAToolkit_FOUND)
-    message(STATUS "CUDA Toolkit found")
-
-    if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
-        # native == GPUs available at build time
-        # 50     == Maxwell, lowest CUDA 12 standard
-        # 60     == P100, FP16 CUDA intrinsics
-        # 61     == Pascal, __dp4a instruction (per-byte integer dot product)
-        # 70     == V100, FP16 tensor cores
-        # 75     == Turing, int8 tensor cores
-        # 80     == Ampere, asynchronous data loading, faster tensor core instructions
-        # 86     == RTX 3000, needs CUDA v11.1
-        # 89     == RTX 4000, needs CUDA v11.8
-        # 120    == Blackwell, needs CUDA v12.8, FP4 tensor cores
-        #
-        # XX-virtual == compile CUDA code as PTX, do JIT compilation to binary code on first run
-        # XX-real    == compile CUDA code as device code for this specific architecture
-        # no suffix  == compile as both PTX and device code
-        #
-        # The default behavior for a non-native is to build virtual architectures as needed to cover all features needed
-        #     for best performance and to also build real architectures for the most commonly used GPUs.
-        if (GGML_NATIVE AND CUDAToolkit_VERSION VERSION_GREATER_EQUAL "11.6" AND CMAKE_VERSION VERSION_GREATER_EQUAL "3.24")
-            set(CMAKE_CUDA_ARCHITECTURES "native")
-        else()
-            if (CUDAToolkit_VERSION VERSION_LESS "13")
-                list(APPEND CMAKE_CUDA_ARCHITECTURES 50-virtual 61-virtual 70-virtual)
-            endif ()
-
-            list(APPEND CMAKE_CUDA_ARCHITECTURES 75-virtual 80-virtual 86-real)
-
-            if (CUDAToolkit_VERSION VERSION_GREATER_EQUAL "11.8")
-                list(APPEND CMAKE_CUDA_ARCHITECTURES 89-real)
-            endif()
-
-            if (CUDAToolkit_VERSION VERSION_GREATER_EQUAL "12.8")
-                # The CUDA architecture 120f-virtual would in principle work for Blackwell support
-                #     but the newly added "f" suffix conflicted with a preexising regex for validating CUDA architectures in CMake.
-                # So either a recent CMake version or one with the backported fix is needed.
-                # The following versions should work:
-                #   - CMake >= v3.31.8 && CMake < v4.0.0
-                #   - CMake >= v4.0.2
-                # This is NOT documented in the CMake release notes,
-                #     check Modules/Internal/CMakeCUDAArchitecturesValidate.cmake in the CMake git repository instead.
-                # However, the architectures 120a-real and 121a-real should work with basically any CMake version and
-                #     until the release of e.g. Rubin there is no benefit to shipping virtual architectures for Blackwell.
-                list(APPEND CMAKE_CUDA_ARCHITECTURES 120a-real)
-            endif()
-            if (CUDAToolkit_VERSION VERSION_GREATER_EQUAL "12.9")
-                list(APPEND CMAKE_CUDA_ARCHITECTURES 121a-real)
-            endif()
-        endif()
-    endif()
-
-    enable_language(CUDA)
-
-    # TODO: Remove once CCCL 3.2 has been released and bundled with CUDA Toolkit
-    if (GGML_CUDA_CUB_3DOT2)
-        include(FetchContent)
-
-        FetchContent_Declare(
-            CCCL
-            GIT_REPOSITORY https://github.com/nvidia/cccl.git
-            GIT_TAG        v3.2.0
-            GIT_SHALLOW    TRUE
-        )
-
-        FetchContent_MakeAvailable(CCCL)
-    endif()
-
-    # Replace any plain 12X CUDA architectures with their "architecture-specific" equivalents 12Xa.
-    # 12X is forwards-compatible, 12Xa is not.
-    # Notably the Blackwell FP4 tensor core instructions are not forwards compatible and therefore need 12Xa.
-    # But while 12X vs. 12Xa can be checked in device code there is (to my knowledge) no easy way to do the same check in host code.
-    # So for now just replace all instances of 12X with 12Xa, this should be fine until Rubin is released.
-    foreach(ARCHS IN ITEMS CMAKE_CUDA_ARCHITECTURES CMAKE_CUDA_ARCHITECTURES_NATIVE)
-        set(FIXED_ARCHS "")
-        foreach(ARCH IN LISTS ${ARCHS})
-            if (ARCH MATCHES "^12[0-9](-real|-virtual)?$")
-                string(REGEX REPLACE "^(12[0-9])((-real|-virtual)?)$" "\\1a\\2" FIXED_ARCH ${ARCH})
-                message(STATUS "Replacing ${ARCH} in ${ARCHS} with ${FIXED_ARCH}")
-                list(APPEND FIXED_ARCHS "${FIXED_ARCH}")
-            else()
-                list(APPEND FIXED_ARCHS "${ARCH}")
-            endif()
-        endforeach()
-        set(${ARCHS} ${FIXED_ARCHS})
-    endforeach()
-
-    # If we try to compile a "native" build it will use the 12X architectures and fail.
-    # So we should instead use the native architectures as determined by CMake after replacing 12X with 12Xa.
-    # But if at the time of the build no GPUs are connected at all CMAKE_CUDA_ARCHITECTURES will contain garbage that we should not use.
-    if (CMAKE_CUDA_ARCHITECTURES STREQUAL "native" AND CMAKE_CUDA_ARCHITECTURES_NATIVE MATCHES "^[0-9]+(a|f)?(-real|-virtual)?(;[0-9]+(a|f)?(-real|-virtual)?|;)*$")
-        set(CMAKE_CUDA_ARCHITECTURES ${CMAKE_CUDA_ARCHITECTURES_NATIVE})
-    endif()
-    message(STATUS "Using CMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES} CMAKE_CUDA_ARCHITECTURES_NATIVE=${CMAKE_CUDA_ARCHITECTURES_NATIVE}")
-
-    file(GLOB   GGML_HEADERS_CUDA "*.cuh")
-    list(APPEND GGML_HEADERS_CUDA "../../include/ggml-cuda.h")
-
-    file(GLOB   GGML_SOURCES_CUDA "*.cu")
-    file(GLOB   SRCS "template-instances/fattn-tile*.cu")
-    list(APPEND GGML_SOURCES_CUDA ${SRCS})
-    file(GLOB   SRCS "template-instances/fattn-mma*.cu")
-    list(APPEND GGML_SOURCES_CUDA ${SRCS})
-    file(GLOB   SRCS "template-instances/mmq*.cu")
-    list(APPEND GGML_SOURCES_CUDA ${SRCS})
-    file(GLOB   SRCS "template-instances/mmf*.cu")
-    list(APPEND GGML_SOURCES_CUDA ${SRCS})
-
-    if (GGML_CUDA_FA_ALL_QUANTS)
-        file(GLOB   SRCS "template-instances/fattn-vec*.cu")
-        list(APPEND GGML_SOURCES_CUDA ${SRCS})
-        add_compile_definitions(GGML_CUDA_FA_ALL_QUANTS)
-    else()
-        file(GLOB   SRCS "template-instances/fattn-vec*q4_0-q4_0.cu")
-        list(APPEND GGML_SOURCES_CUDA ${SRCS})
-        file(GLOB   SRCS "template-instances/fattn-vec*q8_0-q8_0.cu")
-        list(APPEND GGML_SOURCES_CUDA ${SRCS})
-        file(GLOB   SRCS "template-instances/fattn-vec*f16-f16.cu")
-        list(APPEND GGML_SOURCES_CUDA ${SRCS})
-    endif()
-
-    ggml_add_backend_library(ggml-cuda
-                             ${GGML_HEADERS_CUDA}
-                             ${GGML_SOURCES_CUDA}
-                            )
-
-    add_compile_definitions(GGML_CUDA_PEER_MAX_BATCH_SIZE=${GGML_CUDA_PEER_MAX_BATCH_SIZE})
-
-    if (GGML_CUDA_GRAPHS)
-        add_compile_definitions(GGML_CUDA_USE_GRAPHS)
-    endif()
-
-    if (GGML_CUDA_FORCE_MMQ)
-        add_compile_definitions(GGML_CUDA_FORCE_MMQ)
-    endif()
-
-    if (GGML_CUDA_FORCE_CUBLAS)
-        add_compile_definitions(GGML_CUDA_FORCE_CUBLAS)
-    endif()
-
-    if (GGML_CUDA_NO_VMM)
-        add_compile_definitions(GGML_CUDA_NO_VMM)
-    endif()
-
-    if (NOT GGML_CUDA_FA)
-        add_compile_definitions(GGML_CUDA_NO_FA)
-    endif()
-
-    if (GGML_CUDA_NO_PEER_COPY)
-        add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
-    endif()
-
-    if (GGML_STATIC)
-        if (WIN32)
-            # As of 12.3.1 CUDA Toolkit for Windows does not offer a static cublas library
-            target_link_libraries(ggml-cuda PRIVATE CUDA::cudart_static CUDA::cublas)
-        else ()
-            if (GGML_CUDA_CUB_3DOT2)
-                target_link_libraries(ggml-cuda PRIVATE  CCCL::CCCL)
-            endif()
-            if (CUDAToolkit_VERSION VERSION_GREATER_EQUAL "10.1")
-                target_link_libraries(ggml-cuda PRIVATE  CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
-            else()
-                target_link_libraries(ggml-cuda PRIVATE  CUDA::cudart_static CUDA::cublas_static)
-            endif()
-        endif()
-    else()
-        if (GGML_CUDA_CUB_3DOT2)
-            target_link_libraries(ggml-cuda PRIVATE  CCCL::CCCL)
-        endif()
-        target_link_libraries(ggml-cuda PRIVATE CUDA::cudart CUDA::cublas)
-    endif()
-
-    if (GGML_CUDA_NO_VMM)
-        # No VMM requested, no need to link directly with the cuda driver lib (libcuda.so)
-    else()
-        target_link_libraries(ggml-cuda PRIVATE CUDA::cuda_driver)
-    endif()
-
-    set(CUDA_CXX_FLAGS "")
-
-    set(CUDA_FLAGS -use_fast_math -extended-lambda)
-
-    if (GGML_CUDA_DEBUG)
-        list(APPEND CUDA_FLAGS -lineinfo)
-        add_compile_definitions(GGML_CUDA_DEBUG)
-    endif()
-
-    if (CUDAToolkit_VERSION VERSION_GREATER_EQUAL "12.8")
-        # Options are:
-        # - none (not recommended)
-        # - speed (nvcc's default)
-        # - balance
-        # - size
-        list(APPEND CUDA_FLAGS -compress-mode=${GGML_CUDA_COMPRESSION_MODE})
-    endif()
-
-    if (GGML_FATAL_WARNINGS)
-        list(APPEND CUDA_FLAGS -Werror all-warnings)
-    endif()
-
-    if (GGML_ALL_WARNINGS AND NOT MSVC)
-        set(NVCC_CMD ${CMAKE_CUDA_COMPILER} .c)
-        if (NOT CMAKE_CUDA_HOST_COMPILER STREQUAL "")
-            list(APPEND NVCC_CMD -ccbin ${CMAKE_CUDA_HOST_COMPILER})
-        endif()
-
-        execute_process(
-            COMMAND ${NVCC_CMD} -Xcompiler --version
-            OUTPUT_VARIABLE CUDA_CCFULLVER
-            ERROR_QUIET
-        )
-
-        if (NOT CUDA_CCFULLVER MATCHES clang)
-            set(CUDA_CCID "GNU")
-            execute_process(
-                COMMAND ${NVCC_CMD} -Xcompiler "-dumpfullversion -dumpversion"
-                OUTPUT_VARIABLE CUDA_CCVER
-                ERROR_QUIET
-                OUTPUT_STRIP_TRAILING_WHITESPACE
-            )
-        else()
-            if (CUDA_CCFULLVER MATCHES Apple)
-                set(CUDA_CCID "AppleClang")
-            else()
-                set(CUDA_CCID "Clang")
-            endif()
-            string(REGEX REPLACE "^.* version ([0-9.]*).*$" "\\1" CUDA_CCVER ${CUDA_CCFULLVER})
-        endif()
-
-        message(STATUS "CUDA host compiler is ${CUDA_CCID} ${CUDA_CCVER}")
-
-        ggml_get_flags(${CUDA_CCID} ${CUDA_CCVER})
-        list(APPEND CUDA_CXX_FLAGS ${CXX_FLAGS} ${GF_CXX_FLAGS})  # This is passed to -Xcompiler later
-    endif()
-
-    if (NOT MSVC)
-        list(APPEND CUDA_CXX_FLAGS -Wno-pedantic)
-    else()
-        # CCCL 3.2 onwards will require a cpp-standard-compliant preprocessor for MSVC
-        # https://github.com/NVIDIA/cccl/pull/6827
-        list(APPEND CUDA_CXX_FLAGS /Zc:preprocessor)
-    endif()
-
-    list(JOIN   CUDA_CXX_FLAGS " " CUDA_CXX_FLAGS_JOINED)  # pass host compiler flags as a single argument
-
-    if (NOT CUDA_CXX_FLAGS_JOINED STREQUAL "")
-        list(APPEND CUDA_FLAGS -Xcompiler ${CUDA_CXX_FLAGS_JOINED})
-    endif()
-
-    target_compile_options(ggml-cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:${CUDA_FLAGS}>")
-else()
-    message(FATAL_ERROR "CUDA Toolkit not found")
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8ed514601e78e3b449aa529895b54af507c84addd53469c2e3cbaadd2faee65
+size 11447
diff --git a/ggml/src/ggml-cuda/argsort.cu b/ggml/src/ggml-cuda/argsort.cu
index 4896669c32a848b0999864dc2708be67ed1ded12..0f3f017b534f118027dcd216bbd20126a0070e4f 100644
--- a/ggml/src/ggml-cuda/argsort.cu
+++ b/ggml/src/ggml-cuda/argsort.cu
@@ -47,35 +47,59 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool,
 #ifdef STRIDED_ITERATOR_AVAILABLE
     auto offset_iterator = cuda::make_strided_iterator(cuda::make_counting_iterator(0), ncols);
 #else
-    ggml_cuda_pool_alloc<int> offsets_alloc(pool, nrows + 1);
+    // offset_iterator needs to populate nrows + 1 elements, so we also have to ceildiv nrows + 1 by block_size
+    const int                 nrows_offset = nrows + 1;
+    ggml_cuda_pool_alloc<int> offsets_alloc(pool, nrows_offset);
     int *                     offset_iterator = offsets_alloc.get();
-    const dim3                offset_grid((nrows + block_size - 1) / block_size);
+    const dim3                offset_grid((nrows_offset + block_size - 1) / block_size);
     init_offsets<<<offset_grid, block_size, 0, stream>>>(offset_iterator, ncols, nrows);
 #endif
     CUDA_CHECK(cudaMemcpyAsync(temp_keys, x, ncols * nrows * sizeof(float), cudaMemcpyDeviceToDevice, stream));
 
     size_t temp_storage_bytes = 0;
 
+    bool is_capturing = false;
+#ifdef USE_CUDA_GRAPH
+    // Currently (confirmed for CCCL <= 3.2) DeviceSegmentedSort does not support stream capture, while DeviceSegmentedRadixSort does.
+    // See https://github.com/NVIDIA/cccl/issues/5661#issuecomment-3229037149
+    // TODO: constrain this to the CCCL versions that have this issue once it's resolved in a future CCCL release.
+    cudaStreamCaptureStatus capture_status;
+    CUDA_CHECK(cudaStreamIsCapturing(stream, &capture_status));
+    is_capturing = (capture_status != cudaStreamCaptureStatusNone);
+#endif  // USE_CUDA_GRAPH
+
     if (order == GGML_SORT_ORDER_ASC) {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                       temp_indices, dst,                                  // values (indices)
-                                       ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
+                                                  temp_indices, dst,  // values (indices)
+                                                  ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairs(
+                nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
+                temp_indices, dst,                                  // values (indices)
+                ncols * nrows, nrows,                               // num items, num segments
+                offset_iterator, offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                           temp_indices, dst,                                  // values (indices)
-                                           ncols * nrows, nrows,  // num items, num segments
-                                           offset_iterator, offset_iterator + 1, stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairs(nullptr, temp_storage_bytes, temp_keys,
+                                                      temp_keys,             // keys (in-place)
+                                                      temp_indices, dst,     // values (indices)
+                                                      ncols * nrows, nrows,  // num items, num segments
+                                                      offset_iterator, offset_iterator + 1, stream));
         }
     } else {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                                 temp_indices, dst,                                  // values (indices)
-                                                 ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys,
+                                                            temp_keys,          // keys (in-place)
+                                                            temp_indices, dst,  // values (indices)
+                                                            ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairsDescending(
+                nullptr, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst, ncols * nrows, nrows,
+                offset_iterator, offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys, temp_indices,
-                                                     dst, ncols * nrows, nrows, offset_iterator, offset_iterator + 1,
-                                                     stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys,
+                                                                temp_indices, dst, ncols * nrows, nrows,
+                                                                offset_iterator, offset_iterator + 1, stream));
         }
     }
 
@@ -84,22 +108,33 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool,
 
     if (order == GGML_SORT_ORDER_ASC) {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                       temp_indices, dst,  // values (indices)
-                                       ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys,
+                                                  temp_keys,          // keys (in-place)
+                                                  temp_indices, dst,  // values (indices)
+                                                  ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,
+                                                           temp_indices, dst, ncols * nrows, nrows, offset_iterator,
+                                                           offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst,
-                                           ncols * nrows, nrows, offset_iterator, offset_iterator + 1, stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,
+                                                      temp_indices, dst, ncols * nrows, nrows, offset_iterator,
+                                                      offset_iterator + 1, stream));
         }
     } else {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                                 temp_indices, dst,                                  // values (indices)
-                                                 ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys,
+                                                            temp_keys,          // keys (in-place)
+                                                            temp_indices, dst,  // values (indices)
+                                                            ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairsDescending(
+                d_temp_storage, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst, ncols * nrows, nrows,
+                offset_iterator, offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,
-                                                     temp_indices, dst, ncols * nrows, nrows, offset_iterator,
-                                                     offset_iterator + 1, stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys,
+                                                                temp_keys, temp_indices, dst, ncols * nrows, nrows,
+                                                                offset_iterator, offset_iterator + 1, stream));
         }
     }
 }
diff --git a/ggml/src/ggml-cuda/binbcast.cu b/ggml/src/ggml-cuda/binbcast.cu
index 7339fe0c070d3855430593f8a913bc7088b6f778..adb4d5f0cb907e4a2f7dec35b915fbf4f4e7f4e3 100644
--- a/ggml/src/ggml-cuda/binbcast.cu
+++ b/ggml/src/ggml-cuda/binbcast.cu
@@ -472,6 +472,36 @@ void ggml_cuda_op_fused_add(ggml_backend_cuda_context & ctx, ggml_tensor * dst,
     }
 }
 
+void ggml_cuda_op_fused_mul(ggml_backend_cuda_context & ctx, ggml_tensor * dst, int n_fuse) {
+    GGML_ASSERT(2 <= n_fuse && n_fuse <= 8);
+
+    switch (n_fuse) {
+        case 2:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 2>(ctx, dst);
+            break;
+        case 3:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 3>(ctx, dst);
+            break;
+        case 4:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 4>(ctx, dst);
+            break;
+        case 5:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 5>(ctx, dst);
+            break;
+        case 6:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 6>(ctx, dst);
+            break;
+        case 7:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 7>(ctx, dst);
+            break;
+        case 8:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 8>(ctx, dst);
+            break;
+        default:
+            GGML_ASSERT(false && "Unsupported n_fuse value");
+    }
+}
+
 void ggml_cuda_op_repeat_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     const ggml_tensor * src0 = dst->src[0];
 
diff --git a/ggml/src/ggml-cuda/binbcast.cuh b/ggml/src/ggml-cuda/binbcast.cuh
index 62bc950111b700a13595131eb3930873a29a44eb..12624785b44478cee9954ec09746fae27f1a307e 100644
--- a/ggml/src/ggml-cuda/binbcast.cuh
+++ b/ggml/src/ggml-cuda/binbcast.cuh
@@ -9,3 +9,4 @@ void ggml_cuda_op_div(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 void ggml_cuda_op_repeat_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 
 void ggml_cuda_op_fused_add(ggml_backend_cuda_context & ctx, ggml_tensor * dst, int n_fuse);
+void ggml_cuda_op_fused_mul(ggml_backend_cuda_context & ctx, ggml_tensor * dst, int n_fuse);
diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh
index 36d8a3aaab29e2bddd556e1a9acadedd110692bb..3aec1742ee1a24d0f7e0fd256ebe3fa2c0f13e04 100644
--- a/ggml/src/ggml-cuda/common.cuh
+++ b/ggml/src/ggml-cuda/common.cuh
@@ -65,8 +65,9 @@
 #define GGML_CUDA_CC_VEGA       (GGML_CUDA_CC_OFFSET_AMD + 0x900)  // Vega56/64, minimum for fp16 dual issue
 #define GGML_CUDA_CC_VEGA20     (GGML_CUDA_CC_OFFSET_AMD + 0x906)  // MI50/Radeon VII, minimum for dp4a
 #define GGML_CUDA_CC_CDNA1      (GGML_CUDA_CC_OFFSET_AMD + 0x908)  // MI100, minimum for MFMA, acc registers
-#define GGML_CUDA_CC_CDNA2      (GGML_CUDA_CC_OFFSET_AMD + 0x910)  // MI210, minimum acc register renameing
+#define GGML_CUDA_CC_CDNA2      (GGML_CUDA_CC_OFFSET_AMD + 0x90a)  // MI210 (gfx90a), minimum acc register renaming
 #define GGML_CUDA_CC_CDNA3      (GGML_CUDA_CC_OFFSET_AMD + 0x942)  // MI300
+#define GGML_CUDA_CC_CDNA4      (GGML_CUDA_CC_OFFSET_AMD + 0x950)  // MI350X/MI355X
 
 // RDNA removes MFMA, dp4a, xnack, acc registers, wave size is 32
 #define GGML_CUDA_CC_RDNA1      (GGML_CUDA_CC_OFFSET_AMD + 0x1010) // RX 5000
@@ -87,7 +88,8 @@
 #define GGML_CUDA_CC_IS_CDNA(cc)    (cc >= GGML_CUDA_CC_CDNA1 && cc < GGML_CUDA_CC_RDNA1)
 #define GGML_CUDA_CC_IS_CDNA1(cc)   (cc >= GGML_CUDA_CC_CDNA1 && cc < GGML_CUDA_CC_CDNA2)
 #define GGML_CUDA_CC_IS_CDNA2(cc)   (cc >= GGML_CUDA_CC_CDNA2 && cc < GGML_CUDA_CC_CDNA3)
-#define GGML_CUDA_CC_IS_CDNA3(cc)   (cc >= GGML_CUDA_CC_CDNA3 && cc < GGML_CUDA_CC_RDNA1)
+#define GGML_CUDA_CC_IS_CDNA3(cc)   (cc >= GGML_CUDA_CC_CDNA3 && cc < GGML_CUDA_CC_CDNA4)
+#define GGML_CUDA_CC_IS_CDNA4(cc)   (cc >= GGML_CUDA_CC_CDNA4 && cc < GGML_CUDA_CC_RDNA1)
 
 // Moore Threads
 #define MUSART_HMASK 40300 // MUSA rc4.3, min. ver. for half2 -> uint mask comparisons
@@ -186,6 +188,10 @@ void ggml_cuda_error(const char * stmt, const char * func, const char * file, in
 
 #define CUBLAS_CHECK(err) CUDA_CHECK_GEN(err, CUBLAS_STATUS_SUCCESS, cublas_get_error_str)
 
+#ifdef GGML_USE_NCCL
+#define NCCL_CHECK(err) CUDA_CHECK_GEN(err, ncclSuccess, ncclGetErrorString)
+#endif // GGML_USE_NCCL
+
 #if !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM)
 static const char * cu_get_error_str(CUresult err) {
     const char * err_str;
@@ -263,10 +269,6 @@ static const char * cu_get_error_str(CUresult err) {
 #define FLASH_ATTN_AVAILABLE
 #endif // !defined(GGML_CUDA_NO_FA) && !(defined(GGML_USE_MUSA) && __MUSA_ARCH__ < 220)
 
-#if defined(TURING_MMA_AVAILABLE)
-#define LDMATRIX_TRANS_AVAILABLE
-#endif // defined(TURING_MMA_AVAILABLE)
-
 static bool fp16_available(const int cc) {
     return ggml_cuda_highest_compiled_arch(cc) >= GGML_CUDA_CC_PASCAL ||
         (GGML_CUDA_CC_IS_MTHREADS(cc) && cc >= GGML_CUDA_CC_PH1);
@@ -799,6 +801,35 @@ static __device__ __forceinline__ float ggml_cuda_e8m0_to_fp32(uint8_t x) {
 #endif // CUDART_VERSION >= 12050
 }
 
+static __device__ __forceinline__ float ggml_cuda_ue4m3_to_fp32(uint8_t x) {
+#if defined(GGML_USE_HIP) && defined(CDNA3) && defined(FP8_AVAILABLE) && HIP_VERSION >= 60200000
+    // ROCm does not support fp8 in software on devices with fp8 hardware,
+    // but CDNA3 supports only e4m3_fnuz (no inf).
+    const uint32_t bits = x * (x != 0x7F && x != 0xFF); // Convert NaN to 0.0f to match CPU implementation.
+    const __hip_fp8_e4m3_fnuz xf = *reinterpret_cast<const __hip_fp8_e4m3_fnuz *>(&bits);
+    return static_cast<float>(xf) / 2;
+#else
+#if defined(FP8_AVAILABLE) && !defined(GGML_USE_HIP)
+    const uint32_t bits = x * (x != 0x7F && x != 0xFF); // Convert NaN to 0.0f to match CPU implementation.
+    const __nv_fp8_e4m3 xf = *reinterpret_cast<const __nv_fp8_e4m3 *>(&bits);
+    return static_cast<float>(xf) / 2;
+#else
+    if (x == 0 || (x == 0x7F && x != 0xFF)) { // Convert NaN to 0.0f
+        return 0.0f;
+    }
+    const int exp = (x >> 3) & 0xF;
+    const int man = x & 0x7;
+    float raw;
+    if (exp == 0) {
+        raw = ldexpf((float) man, -9);
+    } else {
+        raw = ldexpf(1.0f + (float) man / 8.0f, exp - 7);
+    }
+    return static_cast<float>(raw / 2);
+#endif // defined(FP8_AVAILABLE) && !defined(GGML_USE_HIP)
+#endif // defined(GGML_USE_HIP) && defined(CDNA3) && defined(FP8_AVAILABLE) && HIP_VERSION >= 60200000
+}
+
 __device__ __forceinline__ uint8_t ggml_cuda_float_to_fp4_e2m1(float x, float e) {
     const uint8_t sign_bit = (x < 0.0f) << 3;
     float         ax       = fabsf(x) * e;
@@ -889,6 +920,13 @@ struct ggml_cuda_type_traits<GGML_TYPE_F16> {
     static constexpr int qr = 1;
 };
 
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q1_0> {
+    static constexpr int qk = QK1_0;
+    static constexpr int qr = QR1_0;
+    static constexpr int qi = QI1_0;
+};
+
 template<>
 struct ggml_cuda_type_traits<GGML_TYPE_Q4_0> {
     static constexpr int qk = QK4_0;
@@ -931,6 +969,13 @@ struct ggml_cuda_type_traits<GGML_TYPE_MXFP4> {
     static constexpr int qi = QI_MXFP4;
 };
 
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_NVFP4> {
+    static constexpr int qk = QK_NVFP4;
+    static constexpr int qr = QR_NVFP4;
+    static constexpr int qi = QI_NVFP4;
+};
+
 template<>
 struct ggml_cuda_type_traits<GGML_TYPE_Q2_K> {
     static constexpr int qk = QK_K;
@@ -1121,19 +1166,6 @@ struct ggml_tensor_extra_gpu {
 #define USE_CUDA_GRAPH
 #endif
 
-struct ggml_cuda_graph_node_properties {
-    void * node_data;
-    ggml_op node_op;
-    enum ggml_type node_type;
-    int32_t flags;
-    int64_t ne[GGML_MAX_DIMS];
-    size_t nb[GGML_MAX_DIMS];
-    void * src_data[GGML_MAX_SRC];
-    int32_t op_params[GGML_MAX_OP_PARAMS / sizeof(int32_t)];
-};
-
-static_assert(std::is_trivial<ggml_cuda_graph_node_properties>::value, "ggml_cuda_graph_node_properties must be trivial");
-
 struct ggml_cuda_graph {
 #ifdef USE_CUDA_GRAPH
     ~ggml_cuda_graph() {
@@ -1150,13 +1182,15 @@ struct ggml_cuda_graph {
     std::vector<cudaGraphNode_t> nodes;
     bool disable_due_to_gpu_arch = false;
     bool warmup_complete = false;
-    std::vector<ggml_cuda_graph_node_properties> props;
-
-    // these are extra tensors (inputs) that participate in the ggml graph but are not nodes
-    // they properties also have to match in order to be able to safely reuse a CUDA graph
-    // ref: https://github.com/ggml-org/llama.cpp/pull/18583
-    // ref: https://github.com/ggml-org/llama.cpp/pull/19165
-    std::vector<ggml_cuda_graph_node_properties> extra;
+    uint64_t uid = 0;
+    int64_t last_used_time = 0;
+    struct node_properties {
+        ggml_tensor node;
+        void *   node_src_data_ptrs[GGML_MAX_SRC];
+        int64_t  node_src_ne[GGML_MAX_SRC][GGML_MAX_DIMS];
+        size_t   node_src_nb[GGML_MAX_SRC][GGML_MAX_DIMS];
+    };
+    std::vector<node_properties> node_props;
 
     bool is_enabled() const {
         static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
@@ -1331,12 +1365,28 @@ struct ggml_backend_cuda_context {
     // when the computation is split across CPU/GPU (e.g., with --n-cpu-moe)
     std::unordered_map<const void *, std::unique_ptr<ggml_cuda_graph>> cuda_graphs;
 
+    int64_t last_graph_eviction_sweep = 0;
+
     ggml_cuda_graph * cuda_graph(const void * first_node_ptr) {
+        const int64_t time_now = ggml_time_us();
+
+        // sweep every 5s, evicting cuda graphs unused for >=10s
+        if (time_now - last_graph_eviction_sweep >= 5'000'000) {
+            last_graph_eviction_sweep = time_now;
+            for (auto it = cuda_graphs.begin(); it != cuda_graphs.end(); ) {
+                if (time_now - it->second->last_used_time >= 10'000'000) {
+                    it = cuda_graphs.erase(it);
+                } else {
+                    ++it;
+                }
+            }
+        }
+
         auto it = cuda_graphs.find(first_node_ptr);
         if (it == cuda_graphs.end()) {
-            cuda_graphs[first_node_ptr] = std::make_unique<ggml_cuda_graph>();
-            return cuda_graphs[first_node_ptr].get();
+            it = cuda_graphs.emplace(first_node_ptr, std::make_unique<ggml_cuda_graph>()).first;
         }
+        it->second->last_used_time = time_now;
         return it->second.get();
     }
 
diff --git a/ggml/src/ggml-cuda/conv2d-transpose.cu b/ggml/src/ggml-cuda/conv2d-transpose.cu
index 03224e404d32de6b074e1ddef601bbd7314a9e90..6cbd6f879e6f5e4a37160580a1a2d94fc4b9c060 100644
--- a/ggml/src/ggml-cuda/conv2d-transpose.cu
+++ b/ggml/src/ggml-cuda/conv2d-transpose.cu
@@ -1,12 +1,20 @@
-#include <algorithm>
-
 #include "conv2d-transpose.cuh"
-#include "ggml.h"
-
-__global__ void conv2d_transpose_kernel(const float * __restrict__ input, const half * __restrict__ kernel,
-                                        float * __restrict__ output, const int in_w, const int in_h, const int out_w,
-                                        const int out_h, const int kernel_w, const int kernel_h, const int stride,
-                                        const int c_in, const int c_out, const int batches) {
+#include "convert.cuh"
+
+template <typename kernel_t>
+static __global__ void conv2d_transpose_kernel(const float * __restrict__ input,
+                                               const kernel_t * __restrict__ kernel,
+                                               float * __restrict__ output,
+                                               const int in_w,
+                                               const int in_h,
+                                               const int out_w,
+                                               const int out_h,
+                                               const int kernel_w,
+                                               const int kernel_h,
+                                               const int stride,
+                                               const int c_in,
+                                               const int c_out,
+                                               const int batches) {
     const int global_idx = blockIdx.x * blockDim.x + threadIdx.x;
 
     const int total_elements = out_w * out_h * c_out * batches;
@@ -26,24 +34,32 @@ __global__ void conv2d_transpose_kernel(const float * __restrict__ input, const
     for (int c_in_idx = 0; c_in_idx < c_in; c_in_idx++) {
         for (int kh = 0; kh < kernel_h; ++kh) {
             int in_y = out_y_idx - kh;
-            if (in_y < 0 || in_y % stride) continue;
+            if (in_y < 0 || in_y % stride) {
+                continue;
+            }
             in_y /= stride;
-            if (in_y >= in_h) continue;
+            if (in_y >= in_h) {
+                continue;
+            }
 
             for (int kw = 0; kw < kernel_w; ++kw) {
                 int in_x = out_x_idx - kw;
-                if (in_x < 0 || in_x % stride) continue;
+                if (in_x < 0 || in_x % stride) {
+                    continue;
+                }
                 in_x /= stride;
-                if (in_x >= in_w) continue;
+                if (in_x >= in_w) {
+                    continue;
+                }
 
                 const int input_idx = (in_w * in_h * c_in) * n_idx + (in_w * in_h) * c_in_idx + (in_w) *in_y + in_x;
                 const int kernel_idx =
                     (kernel_h * kernel_w * c_out) * c_in_idx + (kernel_h * kernel_w) * c_idx + (kernel_w) *kh + kw;
 
-                float input_val = input[input_idx];
-                half  kern_val  = kernel[kernel_idx];
+                float    input_val = input[input_idx];
+                kernel_t kern_val  = kernel[kernel_idx];
 
-                accumulator += input_val * (float) kern_val;
+                accumulator += input_val * ggml_cuda_cast<float>(kern_val);
             }
         }
     }
@@ -56,11 +72,12 @@ void ggml_cuda_conv_2d_transpose_p0(ggml_backend_cuda_context & ctx, ggml_tensor
     const ggml_tensor * kernel = dst->src[0];
     const ggml_tensor * input  = dst->src[1];
 
-    GGML_ASSERT(kernel->type == GGML_TYPE_F16 && input->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32);
+    GGML_ASSERT(kernel->type == GGML_TYPE_F16 || kernel->type == GGML_TYPE_F32);
+    GGML_ASSERT(input->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32);
 
     const float * input_data  = (const float *) input->data;
     float *       output_data = (float *) dst->data;
-    const half * kernel_data = (const half *) kernel->data;
+    const void *  kernel_data = kernel->data;
 
     const int input_w      = input->ne[0];
     const int input_h      = input->ne[1];
@@ -82,10 +99,17 @@ void ggml_cuda_conv_2d_transpose_p0(ggml_backend_cuda_context & ctx, ggml_tensor
     GGML_ASSERT(ggml_is_contiguous(kernel));
     GGML_ASSERT(ggml_is_contiguous(dst));
 
-    const int total  = (output_w * output_h * channels_out * batches);
+    const int total  = output_w * output_h * channels_out * batches;
     const int blocks = (total + CUDA_CONV2D_TRANSPOSE_BLOCK_SIZE - 1) / CUDA_CONV2D_TRANSPOSE_BLOCK_SIZE;
 
-    conv2d_transpose_kernel<<<blocks, CUDA_CONV2D_TRANSPOSE_BLOCK_SIZE, 0, st>>>(
-        input_data, kernel_data, output_data, input_w, input_h, output_w, output_h, kernel_w, kernel_h, stride,
-        channels_in, channels_out, batches);
+    if (kernel->type == GGML_TYPE_F16) {
+        conv2d_transpose_kernel<half><<<blocks, CUDA_CONV2D_TRANSPOSE_BLOCK_SIZE, 0, st>>>(
+            input_data, (const half *) kernel_data, output_data, input_w, input_h, output_w, output_h, kernel_w,
+            kernel_h, stride, channels_in, channels_out, batches);
+
+    } else {
+        conv2d_transpose_kernel<float><<<blocks, CUDA_CONV2D_TRANSPOSE_BLOCK_SIZE, 0, st>>>(
+            input_data, (const float *) kernel_data, output_data, input_w, input_h, output_w, output_h, kernel_w,
+            kernel_h, stride, channels_in, channels_out, batches);
+    }
 }
diff --git a/ggml/src/ggml-cuda/conv2d-transpose.cuh b/ggml/src/ggml-cuda/conv2d-transpose.cuh
index c9430b2485021e913403f820983debb17f558e29..72889c5f0fa89ddc1771393cd287c3db8df91e76 100644
--- a/ggml/src/ggml-cuda/conv2d-transpose.cuh
+++ b/ggml/src/ggml-cuda/conv2d-transpose.cuh
@@ -1,4 +1,5 @@
 #include "common.cuh"
 
 #define CUDA_CONV2D_TRANSPOSE_BLOCK_SIZE 256
+
 void ggml_cuda_conv_2d_transpose_p0(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
diff --git a/ggml/src/ggml-cuda/convert.cu b/ggml/src/ggml-cuda/convert.cu
index b70492c7d6cf7eb7c24a8b351600da2e1fafb3c7..61630a35a29b7ea79c2a4dc1c4a3dd5f05644d7e 100644
--- a/ggml/src/ggml-cuda/convert.cu
+++ b/ggml/src/ggml-cuda/convert.cu
@@ -617,6 +617,45 @@ static void dequantize_row_mxfp4_cuda(const void * vx, dst_t * y, const int64_t
     dequantize_block_mxfp4<<<nb, 32, 0, stream>>>(vx, y);
 }
 
+template <typename dst_t>
+static __global__ void dequantize_block_nvfp4(
+        const void * __restrict__ vx,
+        dst_t * __restrict__ yy,
+        const int64_t ne) {
+    const int64_t i = blockIdx.x;
+    const int     tid = threadIdx.x;
+
+    const int64_t base = i * QK_NVFP4;
+    if (base >= ne) {
+        return;
+    }
+
+    const block_nvfp4 * x = (const block_nvfp4 *) vx;
+    const block_nvfp4 & xb = x[i];
+
+    const int sub = tid / (QK_NVFP4_SUB / 2);
+    const int j = tid % (QK_NVFP4_SUB / 2);
+
+    const float d = ggml_cuda_ue4m3_to_fp32(xb.d[sub]);
+    const uint8_t q = xb.qs[sub * (QK_NVFP4_SUB / 2) + j];
+
+    const int64_t y0 = base + sub * QK_NVFP4_SUB + j;
+    const int64_t y1 = y0 + QK_NVFP4_SUB / 2;
+
+    yy[y0] = ggml_cuda_cast<dst_t>(d * kvalues_mxfp4[q & 0x0F]);
+    yy[y1] = ggml_cuda_cast<dst_t>(d * kvalues_mxfp4[q >> 4]);
+}
+
+template <typename dst_t>
+static void dequantize_row_nvfp4_cuda(
+        const void * vx,
+        dst_t * y,
+        const int64_t k,
+        cudaStream_t stream) {
+    GGML_ASSERT(k % QK_NVFP4 == 0);
+    const int nb = k / QK_NVFP4;
+    dequantize_block_nvfp4<<<nb, 32, 0, stream>>>(vx, y, k);
+}
 template <typename src_t, typename dst_t>
 static __global__ void convert_unary(
         const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t ne00, const int64_t ne01,
@@ -672,6 +711,8 @@ to_bf16_cuda_t ggml_get_to_bf16_cuda(ggml_type type) {
 
 to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cont_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_row_q4_0_cuda;
         case GGML_TYPE_Q4_1:
@@ -715,6 +756,8 @@ to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) {
             return dequantize_row_iq3_s_cuda;
         case GGML_TYPE_MXFP4:
             return dequantize_row_mxfp4_cuda;
+        case GGML_TYPE_NVFP4:
+            return dequantize_row_nvfp4_cuda;
         case GGML_TYPE_F32:
             return convert_unary_cont_cuda<float>;
         case GGML_TYPE_BF16:
@@ -726,6 +769,8 @@ to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) {
 
 to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cont_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_row_q4_0_cuda;
         case GGML_TYPE_Q4_1:
@@ -766,6 +811,8 @@ to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type) {
             return dequantize_row_iq3_s_cuda;
         case GGML_TYPE_MXFP4:
             return dequantize_row_mxfp4_cuda;
+        case GGML_TYPE_NVFP4:
+            return dequantize_row_nvfp4_cuda;
         case GGML_TYPE_F16:
             return convert_unary_cont_cuda<half>;
         case GGML_TYPE_BF16:
@@ -779,6 +826,8 @@ to_fp16_nc_cuda_t ggml_get_to_fp16_nc_cuda(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F32:
             return convert_unary_cuda<float>;
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
         case GGML_TYPE_Q4_1:
@@ -800,6 +849,8 @@ to_bf16_nc_cuda_t ggml_get_to_bf16_nc_cuda(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F32:
             return convert_unary_cuda<float, nv_bfloat16>;
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
         case GGML_TYPE_Q4_1:
@@ -821,6 +872,8 @@ to_fp32_nc_cuda_t ggml_get_to_fp32_nc_cuda(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F16:
             return convert_unary_cuda<half, float>;
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
         case GGML_TYPE_Q4_1:
diff --git a/ggml/src/ggml-cuda/convert.cuh b/ggml/src/ggml-cuda/convert.cuh
index 09f9a33f909187b5b058177e1b0c73ff5ccd2c6d..f5d37c7b99874b13a04dd2b5d3a1532fc3d5612c 100644
--- a/ggml/src/ggml-cuda/convert.cuh
+++ b/ggml/src/ggml-cuda/convert.cuh
@@ -41,6 +41,16 @@ template<typename dst_t, typename src_t>
         return __bfloat162float(x);
     } else if constexpr(std::is_same_v<src_t, float2> && std::is_same_v<dst_t, half2>) {
         return __float22half2_rn(x);
+    } else if constexpr(std::is_same_v<src_t, nv_bfloat162> && std::is_same_v<dst_t, float2>) {
+#ifdef GGML_USE_HIP
+        return make_float2(__bfloat162float(__low2bfloat16(x)), __bfloat162float(__high2bfloat16(x)));
+#else
+#if __CUDA_ARCH__ >= 800
+        return __bfloat1622float2(x);
+#else
+        return make_float2(__bfloat162float(x.x), __bfloat162float(x.y));
+#endif // __CUDA_ARCH__ >= 800
+#endif // GGML_USE_HIP
     } else if constexpr(std::is_same_v<src_t, float2> && std::is_same_v<dst_t, nv_bfloat162>) {
         // bypass compile error on cuda 12.0.1
 #ifdef GGML_USE_HIP
diff --git a/ggml/src/ggml-cuda/dequantize.cuh b/ggml/src/ggml-cuda/dequantize.cuh
index e060fb29fdc03d22aab88c1aca8af44062f41f45..9ae1342fc0efc85e2fb50af42745f820177fd983 100644
--- a/ggml/src/ggml-cuda/dequantize.cuh
+++ b/ggml/src/ggml-cuda/dequantize.cuh
@@ -1,5 +1,27 @@
 #include "common.cuh"
 
+static __device__ __forceinline__ void dequantize_q1_0(const void * vx, const int64_t ib, const int iqs, float2 & v){
+    const block_q1_0 * x = (const block_q1_0 *) vx;
+
+    const float d = x[ib].d;
+
+    const int bit_index_0 = iqs;
+    const int bit_index_1 = iqs + 1;
+
+    const int byte_index_0 = bit_index_0 / 8;
+    const int bit_offset_0 = bit_index_0 % 8;
+
+    const int byte_index_1 = bit_index_1 / 8;
+    const int bit_offset_1 = bit_index_1 % 8;
+
+    // Extract bits: 1 = +d, 0 = -d (branchless)
+    const int bit_0 = (x[ib].qs[byte_index_0] >> bit_offset_0) & 1;
+    const int bit_1 = (x[ib].qs[byte_index_1] >> bit_offset_1) & 1;
+
+    v.x = (2*bit_0 - 1) * d;
+    v.y = (2*bit_1 - 1) * d;
+}
+
 static __device__ __forceinline__ void dequantize_q4_0(const void * vx, const int64_t ib, const int iqs, float2 & v){
     const block_q4_0 * x = (const block_q4_0 *) vx;
 
diff --git a/ggml/src/ggml-cuda/fattn-common.cuh b/ggml/src/ggml-cuda/fattn-common.cuh
index e9abdf288c43f42db533b9457e1786342ecafb07..beeb5238946445fe3bd46efe0a478774e4bce9a5 100644
--- a/ggml/src/ggml-cuda/fattn-common.cuh
+++ b/ggml/src/ggml-cuda/fattn-common.cuh
@@ -74,6 +74,37 @@ static __device__ __forceinline__ float vec_dot_fattn_vec_KQ_f16(
     return sum;
 }
 
+template <int D, int nthreads>
+static __device__ __forceinline__ float vec_dot_fattn_vec_KQ_bf16(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds_v) {
+
+    const nv_bfloat162 * K_bf16 = (const nv_bfloat162 *) K_c;
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+
+    constexpr int cpy_nb = ggml_cuda_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += nthreads*cpy_ne) {
+        __align__(16) nv_bfloat162 tmp[cpy_ne];
+        ggml_cuda_memcpy_1<sizeof(tmp)>(tmp, K_bf16 + k_KQ_0 + (threadIdx.x % nthreads)*cpy_ne);
+#pragma unroll
+        for (int k_KQ_1 = 0; k_KQ_1 < cpy_ne; ++k_KQ_1) {
+#ifdef V_DOT2_F32_F16_AVAILABLE
+            // FIXME replace macros in vector FA kernel with templating and use FP32 for BF16
+            ggml_cuda_mad(sum, ggml_cuda_cast<float2>(tmp[k_KQ_1]), __half22float2(((const half2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]));
+#else
+            ggml_cuda_mad(sum, ggml_cuda_cast<float2>(tmp[k_KQ_1]), ((const float2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]);
+#endif // V_DOT2_F32_F16_AVAILABLE
+        }
+    }
+
+    return sum;
+}
+
 template<int D, int nthreads>
 static __device__ __forceinline__ float vec_dot_fattn_vec_KQ_q4_0(
     const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8, const void * __restrict__ Q_ds_v) {
@@ -321,6 +352,19 @@ static __device__ __forceinline__ void dequantize_V_f16(const void * __restrict_
     }
 }
 
+template <typename T, int ne>
+static __device__ __forceinline__ void dequantize_V_bf16(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    static_assert(std::is_same_v<T, float>, "BF16 V dequantization only supports float output");
+    static_assert(ne % 2 == 0, "bad ne");
+    __align__(16) nv_bfloat162 tmp[ne/2];
+    ggml_cuda_memcpy_1<ne*sizeof(nv_bfloat16)>(tmp, (const nv_bfloat16 *) vx + i0);
+    float2 * dst_f2 = (float2 *) dst;
+#pragma unroll
+    for (int l = 0; l < ne/2; ++l) {
+        dst_f2[l] = ggml_cuda_cast<float2>(tmp[l]);
+    }
+}
+
 template <typename T, int ne>
 static __device__ __forceinline__ void dequantize_V_q4_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
     const block_q4_0 * x = (const block_q4_0 *) vx;
@@ -547,6 +591,8 @@ constexpr __device__ vec_dot_KQ_t get_vec_dot_KQ() {
         return vec_dot_fattn_vec_KQ_q5_1<D, nthreads>;
     } else if constexpr (type_K == GGML_TYPE_Q8_0) {
         return vec_dot_fattn_vec_KQ_q8_0<D, nthreads>;
+    } else if constexpr (type_K == GGML_TYPE_BF16) {
+        return vec_dot_fattn_vec_KQ_bf16<D, nthreads>;
     } else {
         static_assert(type_K == -1, "bad type");
         return nullptr;
@@ -567,6 +613,8 @@ constexpr __device__ dequantize_V_t get_dequantize_V() {
         return dequantize_V_q5_1<T, ne>;
     } else if constexpr (type_V == GGML_TYPE_Q8_0) {
         return dequantize_V_q8_0<T, ne>;
+    } else if constexpr (type_V == GGML_TYPE_BF16) {
+        return dequantize_V_bf16<float, ne>;
     } else {
         static_assert(type_V == -1, "bad type");
         return nullptr;
@@ -628,9 +676,96 @@ static __global__ void flash_attn_mask_to_KV_max(
 
 template<int D, int ncols1, int ncols2> // D == head size
 __launch_bounds__(D, 1)
-static __global__ void flash_attn_stream_k_fixup(
-        float * __restrict__ dst, const float2 * __restrict__ dst_fixup, const int ne01, const int ne02, const int ne03,
-        const int ne11, const int ne12, const int nbatch_fa) {
+static __global__ void flash_attn_stream_k_fixup_uniform(
+        float * __restrict__ dst,
+        const float2 * __restrict__ dst_fixup,
+        const int ne01, const int ne02,
+        const int ne12, const int nblocks_stream_k,
+        const int gqa_ratio,
+        const int blocks_per_tile,
+        const uint3 fd_iter_j_z_ne12,
+        const uint3 fd_iter_j_z,
+        const uint3 fd_iter_j) {
+    constexpr int ncols = ncols1*ncols2;
+
+    const int tile_idx = blockIdx.x; // One block per output tile.
+    const int j        = blockIdx.y;
+    const int c        = blockIdx.z;
+    const int jc       = j*ncols2 + c;
+    const int tid      = threadIdx.x;
+
+    // nblocks_stream_k is a multiple of ntiles_dst (== gridDim.x), so each tile gets the same number of blocks.
+    const int b_first = tile_idx * blocks_per_tile;
+    const int b_last  = b_first + blocks_per_tile - 1;
+
+    const float * dst_fixup_data = ((const float *) dst_fixup) + nblocks_stream_k*(2*2*ncols);
+
+    // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index
+    const uint2 dm0 = fast_div_modulo(tile_idx, fd_iter_j_z_ne12);
+    const uint2 dm1 = fast_div_modulo(dm0.y,    fd_iter_j_z);
+    const uint2 dm2 = fast_div_modulo(dm1.y,    fd_iter_j);
+
+    const int sequence = dm0.x;
+    const int z_KV     = dm1.x;
+    const int zt_gqa   = dm2.x;
+    const int jt       = dm2.y;
+
+    const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index.
+
+    if (jt*ncols1 + j >= ne01 || zt_gqa*ncols2 + c >= gqa_ratio) {
+        return;
+    }
+
+    dst += sequence*ne02*ne01*D + jt*ne02*(ncols1*D) + zt_Q*D + (j*ne02 + c)*D + tid;
+
+    // Load the partial result that needs a fixup
+    float dst_val = *dst;
+    float max_val;
+    float rowsum;
+    {
+        const float2 tmp = dst_fixup[b_last*ncols + jc];
+        max_val = tmp.x;
+        rowsum  = tmp.y;
+    }
+
+    // Combine with all previous blocks in this tile.
+    for (int bidx = b_last - 1; bidx >= b_first; --bidx) {
+        const float dst_add = dst_fixup_data[bidx*ncols*D + jc*D + tid];
+
+        const float2 tmp = dst_fixup[(nblocks_stream_k + bidx)*ncols + jc];
+
+        const float max_val_new = fmaxf(max_val, tmp.x);
+
+        const float diff_val = max_val - max_val_new;
+        const float diff_add = tmp.x   - max_val_new;
+
+        const float scale_val = diff_val >= SOFTMAX_FTZ_THRESHOLD ? expf(diff_val) : 0.0f;
+        const float scale_add = diff_add >= SOFTMAX_FTZ_THRESHOLD ? expf(diff_add) : 0.0f;
+
+        dst_val = scale_val*dst_val + scale_add*dst_add;
+        rowsum  = scale_val*rowsum  + scale_add*tmp.y;
+
+        max_val = max_val_new;
+    }
+
+    // Write back final result:
+    *dst = dst_val / rowsum;
+}
+
+// General fixup kernel for the case where the number of blocks per tile is not uniform across tiles
+// (blocks_num.x not a multiple of ntiles_dst)
+template <int D, int ncols1, int ncols2> // D == head size
+__launch_bounds__(D, 1)
+static __global__ void flash_attn_stream_k_fixup_general(
+        float * __restrict__ dst,
+        const float2 * __restrict__ dst_fixup,
+        const int ne01, const int ne02,
+        const int gqa_ratio,
+        const int total_work,
+        const uint3 fd_iter_k_j_z_ne12,
+        const uint3 fd_iter_k_j_z,
+        const uint3 fd_iter_k_j,
+        const uint3 fd_iter_k) {
     constexpr int ncols = ncols1*ncols2;
 
     const int bidx0 = blockIdx.x;
@@ -641,27 +776,26 @@ static __global__ void flash_attn_stream_k_fixup(
 
     const float * dst_fixup_data = ((const float *) dst_fixup) + gridDim.x*(2*2*ncols);
 
-    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
-
-    const int iter_k     = (ne11      + (nbatch_fa - 1)) / nbatch_fa;
-    const int iter_j     = (ne01      + (ncols1    - 1)) / ncols1;
-    const int iter_z_gqa = (gqa_ratio + (ncols2    - 1)) / ncols2;
-
-    const int kbc0      = int64_t(bidx0 + 0)*(iter_k*iter_j*iter_z_gqa*ne12*ne03) / gridDim.x;
-    const int kbc0_stop = int64_t(bidx0 + 1)*(iter_k*iter_j*iter_z_gqa*ne12*ne03) / gridDim.x;
+    const int kbc0      = int64_t(bidx0 + 0)*total_work / gridDim.x;
+    const int kbc0_stop = int64_t(bidx0 + 1)*total_work / gridDim.x;
 
     const bool did_not_have_any_data   = kbc0 == kbc0_stop;
-    const bool wrote_beginning_of_tile = kbc0 % iter_k == 0;
-    const bool did_not_write_last      = kbc0/iter_k == kbc0_stop/iter_k && kbc0_stop % iter_k != 0;
+    const bool wrote_beginning_of_tile = fastmodulo(kbc0, fd_iter_k) == 0;
+    const bool did_not_write_last      = fastdiv(kbc0, fd_iter_k) == fastdiv(kbc0_stop, fd_iter_k) && fastmodulo(kbc0_stop, fd_iter_k) != 0;
     if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) {
         return;
     }
 
     // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index
-    const int sequence =  kbc0 /(iter_k*iter_j*iter_z_gqa*ne12);
-    const int z_KV     = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence)/(iter_k*iter_j*iter_z_gqa);
-    const int zt_gqa   = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV)/(iter_k*iter_j);
-    const int jt       = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV - iter_k*iter_j * zt_gqa) / iter_k;
+    const uint2 dm0 = fast_div_modulo(kbc0, fd_iter_k_j_z_ne12);
+    const uint2 dm1 = fast_div_modulo(dm0.y, fd_iter_k_j_z);
+    const uint2 dm2 = fast_div_modulo(dm1.y, fd_iter_k_j);
+    const uint2 dm3 = fast_div_modulo(dm2.y, fd_iter_k);
+
+    const int sequence = dm0.x;
+    const int z_KV     = dm1.x;
+    const int zt_gqa   = dm2.x;
+    const int jt       = dm3.x;
 
     const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index.
 
@@ -685,10 +819,11 @@ static __global__ void flash_attn_stream_k_fixup(
 
     // Iterate over previous blocks and compute the combined results.
     // All CUDA blocks that get here must have a previous block that needs a fixup.
+    const int tile_kbc0 = fastdiv(kbc0, fd_iter_k);
     int bidx = bidx0 - 1;
     int kbc_stop = kbc0;
     while(true) {
-        const int kbc = int64_t(bidx)*(iter_k*iter_j*iter_z_gqa*ne12*ne03) / gridDim.x;
+        const int kbc = int64_t(bidx)*total_work / gridDim.x;
         if (kbc == kbc_stop) { // Did not have any data.
             bidx--;
             kbc_stop = kbc;
@@ -714,7 +849,7 @@ static __global__ void flash_attn_stream_k_fixup(
         max_val = max_val_new;
 
         // If this block started in a previous tile we are done and don't need to combine additional partial results.
-        if (kbc % iter_k == 0 || kbc/iter_k < kbc0/iter_k) {
+        if (fastmodulo(kbc, fd_iter_k) == 0 || fastdiv(kbc, fd_iter_k) < tile_kbc0) {
             break;
         }
         bidx--;
@@ -928,14 +1063,28 @@ void launch_fattn(
         const int tiles_nwaves = (ntiles_dst + max_blocks - 1) / max_blocks;
         const int tiles_efficiency_percent = 100 * ntiles_dst / (max_blocks*tiles_nwaves);
 
-        const int nblocks_stream_k = std::min(max_blocks, ntiles_KV*ntiles_dst);
-
         const bool use_stream_k = cc >= GGML_CUDA_CC_ADA_LOVELACE || amd_wmma_available(cc) || tiles_efficiency_percent < 75;
 
-        blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_dst;
+        blocks_num.x = ntiles_dst;
         blocks_num.y = 1;
         blocks_num.z = 1;
 
+        if(use_stream_k) {
+            const int nblocks_stream_k_raw = std::min(max_blocks, ntiles_KV*ntiles_dst);
+            // Round down to a multiple of ntiles_dst so that each output tile gets the same number of blocks (avoids fixup).
+            // Only do this if the occupancy loss from rounding is acceptable.
+            const int nblocks_stream_k_rounded = (nblocks_stream_k_raw / ntiles_dst) * ntiles_dst;
+            const int max_efficiency_loss_percent = 5;
+            const int efficiency_loss_percent = nblocks_stream_k_rounded > 0
+                ? 100 * (nblocks_stream_k_raw - nblocks_stream_k_rounded) / nblocks_stream_k_raw
+                : 100;
+            const int nblocks_stream_k = efficiency_loss_percent <= max_efficiency_loss_percent
+                ? nblocks_stream_k_rounded
+                : nblocks_stream_k_raw;
+
+            blocks_num.x = nblocks_stream_k;
+        }
+
         if (ntiles_dst % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles.
             dst_tmp_meta.alloc((size_t(blocks_num.x) * ncols * (2 + DV/2)));
         }
@@ -1015,13 +1164,40 @@ void launch_fattn(
     CUDA_CHECK(cudaGetLastError());
 
     if (stream_k) {
-        if (ntiles_dst % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles.
+        if ((int)blocks_num.x % ntiles_dst == 0 && (int)blocks_num.x > ntiles_dst) {
+            // Optimized fixup: nblocks_stream_k is a multiple of ntiles_dst, launch one block per tile.
+            const int nblocks_sk  = (int)blocks_num.x;
+            const int bpt         = nblocks_sk / ntiles_dst;
+
+            const uint3 fd0 = init_fastdiv_values(ntiles_x * ntiles_z_gqa * K->ne[2]);
+            const uint3 fd1 = init_fastdiv_values(ntiles_x * ntiles_z_gqa);
+            const uint3 fd2 = init_fastdiv_values(ntiles_x);
+
+            const dim3 block_dim_combine(DV, 1, 1);
+            const dim3 blocks_num_combine = {(unsigned)ntiles_dst, ncols1, ncols2};
+
+            flash_attn_stream_k_fixup_uniform<DV, ncols1, ncols2>
+                <<<blocks_num_combine, block_dim_combine, 0, main_stream>>>
+                ((float *) KQV->data, dst_tmp_meta.ptr,
+                 Q->ne[1], Q->ne[2], K->ne[2], nblocks_sk,
+                 gqa_ratio, bpt, fd0, fd1, fd2);
+        } else if (ntiles_dst % blocks_num.x != 0) {
+            // General fixup for the cases where nblocks_stream_k < ntiles_dst.
+            const int total_work = ntiles_KV * ntiles_dst;
+
+            const uint3 fd_k_j_z_ne12 = init_fastdiv_values(ntiles_KV * ntiles_x * ntiles_z_gqa * K->ne[2]);
+            const uint3 fd_k_j_z      = init_fastdiv_values(ntiles_KV * ntiles_x * ntiles_z_gqa);
+            const uint3 fd_k_j        = init_fastdiv_values(ntiles_KV * ntiles_x);
+            const uint3 fd_k          = init_fastdiv_values(ntiles_KV);
+
             const dim3 block_dim_combine(DV, 1, 1);
             const dim3 blocks_num_combine = {blocks_num.x, ncols1, ncols2};
 
-            flash_attn_stream_k_fixup<DV, ncols1, ncols2>
+            flash_attn_stream_k_fixup_general<DV, ncols1, ncols2>
                 <<<blocks_num_combine, block_dim_combine, 0, main_stream>>>
-                ((float *) KQV->data, dst_tmp_meta.ptr, Q->ne[1], Q->ne[2], Q->ne[3], K->ne[1], K->ne[2], nbatch_fa);
+                ((float *) KQV->data, dst_tmp_meta.ptr,
+                 Q->ne[1], Q->ne[2], gqa_ratio, total_work,
+                 fd_k_j_z_ne12, fd_k_j_z, fd_k_j, fd_k);
         }
     } else if (parallel_blocks > 1) {
         const dim3 block_dim_combine(DV, 1, 1);
diff --git a/ggml/src/ggml-cuda/fattn-mma-f16.cuh b/ggml/src/ggml-cuda/fattn-mma-f16.cuh
index fff70c8eb89fbe42db8a8c2ea0693d667c4945bd..e185449d49170b3cb3d4d961ddd53385d567b309 100644
--- a/ggml/src/ggml-cuda/fattn-mma-f16.cuh
+++ b/ggml/src/ggml-cuda/fattn-mma-f16.cuh
@@ -66,6 +66,11 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  32, 128, 128, 128, 2, true);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 128, 2,  32, 128, 128, 128, 2, true);
 
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512,  8,  64, 4,  32, 256, 256, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32, 256, 256, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 64, 256, 1,  32, 128, 128, 128, 1, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512,  8,  64, 4,  32, 288, 256, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 16,  64, 4,  32, 288, 256, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 32, 128, 2,  32, 160, 128, 128, 1, false);
@@ -80,6 +85,11 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  64, 128, 128,  64, 2, true);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 128, 2,  64, 128, 128,  64, 2, true);
 
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512,  8,  64, 4,  32,  96,  64, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32,  96,  64, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 64, 256, 1,  32, 128, 128, 128, 1, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512,  8,  64, 4,  32,  96,  64, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 16,  64, 4,  32,  96,  64, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 32, 128, 2,  32, 160, 128, 128, 1, false);
@@ -89,6 +99,11 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
 }
 
 static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_config_volta(const int DKQ, const int DV, const int ncols) {
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512,  8,  64, 4,  32, 256, 256,  64, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32, 256, 256,  64, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128,  64, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 64, 256, 1,  32, 128, 128,  64, 1, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512,  8,  64, 4,  32, 288, 256,  64, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 16,  64, 4,  32, 288, 256,  64, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 32, 128, 2,  32, 160, 128,  64, 1, false);
@@ -103,6 +118,10 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  64, 128, 128,  64, 2, true);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 128, 2,  64, 128, 128,  64, 2, true);
 
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32, 128, 128, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 64, 256, 1,  32, 128, 128, 128, 1, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 16,  64, 4,  32,  96,  64, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 32, 128, 2,  32, 160, 128, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(576, 512, 64, 256, 1,  32, 160, 128, 128, 1, false);
@@ -286,12 +305,13 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
         const half2 * const __restrict__ KV, half2 * const __restrict__ tile_KV, const int D2, const int stride_KV, const int i_sup) {
     constexpr int warp_size = ggml_cuda_get_physical_warp_size();
     // K/V data is loaded with decreasing granularity for D for better memory bandwidth.
-    // The minimum granularity with cp.async is 16 bytes, with synchronous data loading it's 4 bytes.
+    // The minimum granularity is 16 bytes.
+    constexpr int h2_per_chunk = 16/sizeof(half2);
+    const int chunks_per_row = D2 / h2_per_chunk;
     if constexpr (use_cp_async) {
+        static_assert(warp_size == 32, "bad warp_size");
         static_assert(!oob_check, "OOB check not compatible with cp_async");
         constexpr int preload = 64;
-        constexpr int h2_per_chunk = 16/sizeof(half2);
-        const int chunks_per_row = D2 / h2_per_chunk;
 
         const unsigned int tile_KV_32 = ggml_cuda_cvta_generic_to_shared(tile_KV);
 
@@ -329,11 +349,11 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
         // 6: max  1*16= 16 bytes,   8 half
         ggml_cuda_unroll<6>{}(load);
     } else {
-        // TODO use ggml_cuda_memcpy_1
+        const half2 zero[4] = {{0.0f, 0.0f}, {0.0f, 0.0f}, {0.0f, 0.0f}, {0.0f, 0.0f}};
         auto load = [&] __device__ (const int n) {
-            const int stride_k = warp_size >> n;
-            const int k0_start = stride_k == warp_size ? 0 : D2 - D2 % (2*stride_k);
-            const int k0_stop  =                             D2 - D2 % (1*stride_k);
+            const int stride_k = 32 >> n;
+            const int k0_start = stride_k == 32 ? 0 : chunks_per_row - chunks_per_row % (2*stride_k);
+            const int k0_stop  =                      chunks_per_row - chunks_per_row % (1*stride_k);
             const int stride_i = warp_size / stride_k;
 
             if (k0_start == k0_stop) {
@@ -352,15 +372,18 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
                 for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
                     const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
-                    tile_KV[i*stride_tile + k] = !oob_check || i < i_sup ? KV[i*stride_KV + k] : make_half2(0.0f, 0.0f);
+                    ggml_cuda_memcpy_1<16>(tile_KV + i*stride_tile + k*4,
+                        !oob_check || i < i_sup ? KV + i*stride_KV + k*h2_per_chunk : zero);
                 }
             }
         };
-        // 1: max 32* 4=128 bytes,  64 half
-        // 2: max 16* 4= 64 bytes,  32 half
-        // 3: max  8* 4= 32 bytes,  16 half
-        // 4: max  4* 4= 16 bytes,   8 half
-        ggml_cuda_unroll<4>{}(load);
+        // 1: max 32*16=512 bytes, 256 half
+        // 2: max 16*16=256 bytes, 128 half
+        // 3: max  8*16=128 bytes,  64 half
+        // 4: max  4*16= 64 bytes,  32 half
+        // 5: max  2*16= 32 bytes,  16 half
+        // 6: max  1*16= 16 bytes,   8 half
+        ggml_cuda_unroll<6>{}(load);
     }
 }
 
@@ -843,11 +866,6 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
     }
 
 
-#if defined(AMD_WMMA_AVAILABLE) && !defined(LDMATRIX_TRANS_AVAILABLE)
-    T_A_VKQ A_identity;
-    make_identity_mat(A_identity);
-#endif // defined(AMD_WMMA_AVAILABLE) && !defined(LDMATRIX_TRANS_AVAILABLE)
-
     // Calculate VKQ tile, need to use logical rather than physical elements for i0 due to transposition of V:
 #pragma unroll
     for (int i0_start = 0; i0_start < DV; i0_start += 2*nbatch_V2) {
@@ -878,29 +896,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                 const int k0 = k00 + (threadIdx.y % np)*T_A_VKQ::J;
 
                 T_A_VKQ A; // Transposed in SRAM but not in registers, gets transposed on load.
-#if defined(LDMATRIX_TRANS_AVAILABLE)
                 load_ldmatrix_trans(A, tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2, stride_tile_V);
-#elif defined(AMD_MFMA_AVAILABLE)
-                // MFMA A register layout: A_mat[i=lane%16][k=4*(lane/16)+reg].
-                // Normal load gives A_mat[seq][dv] but we need A_mat[dv][seq] = V^T.
-                // Load with transposed addressing: 4 strided half loads.
-                {
-                    const half2 * xs0 = tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2;
-                    const half * xs0_h = (const half *) xs0;
-                    const int stride_h = stride_tile_V * 2; // stride in half units
-                    half * A_h = (half *) A.x;
-#pragma unroll
-                    for (int l = 0; l < 4; ++l) {
-                        A_h[l] = xs0_h[(4*(threadIdx.x / 16) + l) * stride_h + threadIdx.x % 16];
-                    }
-                }
-#else
-                // TODO: Try to transpose tile_V when loading gmem to smem.
-                // Use mma to transpose T_A_VKQ for RDNA.
-                T_A_VKQ A_trans;
-                load_ldmatrix(A_trans, tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2, stride_tile_V);
-                mma(A, A_trans, A_identity);
-#endif // defined(LDMATRIX_TRANS_AVAILABLE)
                 if constexpr (T_B_KQ::I == 8) {
                     mma(VKQ_C[i_VKQ_0/i0_stride], A, B[k00/(np*T_A_VKQ::J)]);
                 } else {
@@ -1552,7 +1548,7 @@ static __global__ void flash_attn_ext_f16(
 #if defined(FLASH_ATTN_AVAILABLE) && (defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE))
 
     // Skip unused kernel variants for faster compilation:
-    if (use_logit_softcap && !(DKQ == 128 || DKQ == 256)) {
+    if (use_logit_softcap && !(DKQ == 128 || DKQ == 256 || DKQ == 512)) {
         NO_DEVICE_CODE;
         return;
     }
@@ -1815,6 +1811,15 @@ DECL_FATTN_MMA_F16_CASE_ALL_NCOLS2(112, 112,  64)
 DECL_FATTN_MMA_F16_CASE_ALL_NCOLS2(128, 128,  64)
 DECL_FATTN_MMA_F16_CASE_ALL_NCOLS2(256, 256,  64)
 
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  2,  4);
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  4,  4);
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  8,  4);
+extern DECL_FATTN_MMA_F16_CASE(512, 512, 16,  4);
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  1,  8);
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  2,  8);
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  4,  8);
+extern DECL_FATTN_MMA_F16_CASE(512, 512,  8,  8);
+
 // The number of viable configurations for Deepseek is very limited:
 extern DECL_FATTN_MMA_F16_CASE(576, 512, 1, 16);
 extern DECL_FATTN_MMA_F16_CASE(576, 512, 2, 16);
diff --git a/ggml/src/ggml-cuda/fattn-tile.cu b/ggml/src/ggml-cuda/fattn-tile.cu
index 3fcb09b7a2ba358c7fead295789a50bf00594d5e..25b16e83cacd9753cc0100634f74901f7b946c93 100644
--- a/ggml/src/ggml-cuda/fattn-tile.cu
+++ b/ggml/src/ggml-cuda/fattn-tile.cu
@@ -38,6 +38,10 @@ void ggml_cuda_flash_attn_ext_tile(ggml_backend_cuda_context & ctx, ggml_tensor
             GGML_ASSERT(V->ne[0] == K->ne[0]);
             ggml_cuda_flash_attn_ext_tile_case<256, 256>(ctx, dst);
         } break;
+        case 512: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_cuda_flash_attn_ext_tile_case<512, 512>(ctx, dst);
+        } break;
         case 576: {
             GGML_ASSERT(V->ne[0] == 512);
             ggml_cuda_flash_attn_ext_tile_case<576, 512>(ctx, dst);
diff --git a/ggml/src/ggml-cuda/fattn-tile.cuh b/ggml/src/ggml-cuda/fattn-tile.cuh
index f3fa80ab23d09b3f8f634c1cb29326e1dfac2bbd..26721cc4c7de249bd20ec66ae73aeb47ca89980f 100644
--- a/ggml/src/ggml-cuda/fattn-tile.cuh
+++ b/ggml/src/ggml-cuda/fattn-tile.cuh
@@ -68,6 +68,10 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_nv
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  64,  64)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
@@ -124,6 +128,10 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_nv
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32,  64)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  32,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  32,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  32,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  32,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  32,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  32,  64)
@@ -187,6 +195,11 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_am
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32, 128)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 32, 512, 1, 128,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
@@ -251,6 +264,11 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_am
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5,  32, 256)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3,  64, 128)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 4,  64,  64)
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 32, 256, 2, 128,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 4,  64,  64)
@@ -767,7 +785,7 @@ static __global__ void flash_attn_tile(
 #ifdef GGML_USE_WMMA_FATTN
             (ncols2 != 1 && DV != 40 && DV != 72 && DV != 512) ||
 #endif // GGML_USE_WMMA_FATTN
-            (use_logit_softcap && !(DV == 128 || DV == 256))
+            (use_logit_softcap && !(DV == 128 || DV == 256 || DV == 512))
     ) {
         GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale,
             max_bias, m0, m1, n_head_log2, logit_softcap,
@@ -1192,7 +1210,7 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm
     const int gqa_limit = nvidia && gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX;
     const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0;
 
-    if constexpr (DV == 512) {
+    if constexpr (DKQ == 576) {
         if (use_gqa_opt && gqa_ratio % 16 == 0) {
             launch_fattn_tile_switch_ncols1<DKQ, DV, 16, use_logit_softcap>(ctx, dst);
             return;
@@ -1203,7 +1221,7 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm
         }
     }
 
-    if constexpr (DV <= 256) {
+    if constexpr (DKQ <= 512) {
         if (use_gqa_opt && gqa_ratio % 8 == 0) {
             launch_fattn_tile_switch_ncols1<DKQ, DV, 8, use_logit_softcap>(ctx, dst);
             return;
@@ -1214,13 +1232,15 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm
             return;
         }
 
-        if (use_gqa_opt && gqa_ratio % 2 == 0) {
-            launch_fattn_tile_switch_ncols1<DKQ, DV, 2, use_logit_softcap>(ctx, dst);
+        if constexpr (DV <= 256) {
+            if (use_gqa_opt && gqa_ratio % 2 == 0) {
+                launch_fattn_tile_switch_ncols1<DKQ, DV, 2, use_logit_softcap>(ctx, dst);
+                return;
+            }
+
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 1, use_logit_softcap>(ctx, dst);
             return;
         }
-
-        launch_fattn_tile_switch_ncols1<DKQ, DV, 1, use_logit_softcap>(ctx, dst);
-        return;
     }
     GGML_ABORT("fatal error");
 }
@@ -1255,4 +1275,5 @@ extern DECL_FATTN_TILE_CASE( 96,  96);
 extern DECL_FATTN_TILE_CASE(112, 112);
 extern DECL_FATTN_TILE_CASE(128, 128);
 extern DECL_FATTN_TILE_CASE(256, 256);
+extern DECL_FATTN_TILE_CASE(512, 512);
 extern DECL_FATTN_TILE_CASE(576, 512);
diff --git a/ggml/src/ggml-cuda/fattn-vec.cuh b/ggml/src/ggml-cuda/fattn-vec.cuh
index 7cbe32633e5877cd1c68a83fde5719950c23363f..f0bd42a5761232952df3e6e529ec607a718bda54 100644
--- a/ggml/src/ggml-cuda/fattn-vec.cuh
+++ b/ggml/src/ggml-cuda/fattn-vec.cuh
@@ -75,17 +75,17 @@ static __global__ void flash_attn_ext_vec(
 #endif // GGML_USE_HIP
 
     constexpr int nthreads    = ggml_cuda_fattn_vec_get_nthreads_device();
-    constexpr int nthreads_KQ = type_K == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_KQ_q;
-    constexpr int nthreads_V  = type_V == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_V_q;
+    constexpr int nthreads_KQ = (type_K == GGML_TYPE_F16 || type_K == GGML_TYPE_BF16) ? 128 / cpy_nb : nthreads_KQ_q;
+    constexpr int nthreads_V  = (type_V == GGML_TYPE_F16 || type_V == GGML_TYPE_BF16) ? 128 / cpy_nb : nthreads_V_q;
 
     static_assert(WARP_SIZE % nthreads_KQ == 0, "bad nthreads_K");
     static_assert(WARP_SIZE % nthreads_V  == 0, "bad nthreads_V");
 
-    constexpr int V_rows_per_thread = type_V == GGML_TYPE_F16 ? 2*cpy_ne : 4;
+    constexpr int V_rows_per_thread = (type_V == GGML_TYPE_F16 || type_V == GGML_TYPE_BF16) ? 2*cpy_ne : 4;
     constexpr int V_cols_per_iter   = WARP_SIZE / nthreads_V;
 
     constexpr vec_dot_KQ_t vec_dot_KQ = get_vec_dot_KQ<type_K, D, nthreads_KQ>();
-    constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16;
+    constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16 && type_K != GGML_TYPE_BF16;
 #ifdef V_DOT2_F32_F16_AVAILABLE
     constexpr dequantize_V_t dequantize_V = get_dequantize_V<type_V, half,  V_rows_per_thread>();
 #else
@@ -323,8 +323,18 @@ static __global__ void flash_attn_ext_vec(
 #pragma unroll
             for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) {
                 half2 tmp[V_rows_per_thread/2];
-                dequantize_V(V + k*nb21, tmp,
-                    2*i_VKQ_0 + (nthreads_V == WARP_SIZE ? threadIdx.x : threadIdx.x % nthreads_V)*V_rows_per_thread);
+                if constexpr (type_V == GGML_TYPE_BF16) {
+                    float2 tmp_f[V_rows_per_thread/2];
+                    dequantize_V(V + k*nb21, tmp_f,
+                        2*i_VKQ_0 + (nthreads_V == WARP_SIZE ? threadIdx.x : threadIdx.x % nthreads_V)*V_rows_per_thread);
+#pragma unroll
+                    for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) {
+                        tmp[i_VKQ_1] = __float22half2_rn(tmp_f[i_VKQ_1]);
+                    }
+                } else {
+                    dequantize_V(V + k*nb21, tmp,
+                        2*i_VKQ_0 + (nthreads_V == WARP_SIZE ? threadIdx.x : threadIdx.x % nthreads_V)*V_rows_per_thread);
+                }
 #pragma unroll
                 for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) {
 #pragma unroll
@@ -563,6 +573,7 @@ void ggml_cuda_flash_attn_ext_vec_case(ggml_backend_cuda_context & ctx, ggml_ten
     extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_0); \
     extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_1); \
     extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q8_0); \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_BF16); \
 
 EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_F16)
 EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_0)
@@ -570,6 +581,7 @@ EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_1)
 EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_0)
 EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_1)
 EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q8_0)
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_BF16)
 
 EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_F16)
 EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_0)
@@ -577,6 +589,7 @@ EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_1)
 EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_0)
 EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_1)
 EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q8_0)
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_BF16)
 
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_F16)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_0)
@@ -584,3 +597,4 @@ EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_1)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_0)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_1)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q8_0)
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_BF16)
diff --git a/ggml/src/ggml-cuda/fattn.cu b/ggml/src/ggml-cuda/fattn.cu
index 85c177f496fad2bb6ecbee64f06fbbc8ea759027..ea6607cd337e608ab58fd2271e0a03cf58f6e153 100644
--- a/ggml/src/ggml-cuda/fattn.cu
+++ b/ggml/src/ggml-cuda/fattn.cu
@@ -75,13 +75,17 @@ static void ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2(ggml_backend_cuda_con
             return;
         }
 
-        if (use_gqa_opt && gqa_ratio % 2 == 0) {
-            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
+        if constexpr (DKQ <= 256) {
+            if (use_gqa_opt && gqa_ratio % 2 == 0) {
+                ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
+                return;
+            }
+
+            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
             return;
+        } else {
+            GGML_ABORT("fatal error");
         }
-
-        ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
-        return;
     }
 
     if (use_gqa_opt && gqa_ratio > 4) {
@@ -94,12 +98,16 @@ static void ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2(ggml_backend_cuda_con
         return;
     }
 
-    if (use_gqa_opt && gqa_ratio > 1) {
-        ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
-        return;
-    }
+    if constexpr (DKQ <= 256) {
+        if (use_gqa_opt && gqa_ratio > 1) {
+            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
+            return;
+        }
 
-    ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
+        ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
+    } else {
+        GGML_ABORT("fatal error");
+    }
 }
 
 static void ggml_cuda_flash_attn_ext_mma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
@@ -135,6 +143,10 @@ static void ggml_cuda_flash_attn_ext_mma_f16(ggml_backend_cuda_context & ctx, gg
             GGML_ASSERT(V->ne[0] == 256);
             ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2<256, 256>(ctx, dst);
             break;
+        case 512:
+            GGML_ASSERT(V->ne[0] == 512);
+            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2<512, 512>(ctx, dst);
+            break;
         case 576: {
             // For Deepseek, go straight to the ncols1 switch to avoid compiling unnecessary kernels.
             GGML_ASSERT(V->ne[0] == 512);
@@ -224,6 +236,7 @@ static void ggml_cuda_flash_attn_ext_vec(ggml_backend_cuda_context & ctx, ggml_t
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_F16)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_F16)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_F16)
 
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q4_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
@@ -231,6 +244,7 @@ static void ggml_cuda_flash_attn_ext_vec(ggml_backend_cuda_context & ctx, ggml_t
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_Q4_0)
 
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q4_1)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_1)
@@ -238,6 +252,7 @@ static void ggml_cuda_flash_attn_ext_vec(ggml_backend_cuda_context & ctx, ggml_t
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_1)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_1)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_Q4_1)
 
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q5_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_0)
@@ -245,6 +260,7 @@ static void ggml_cuda_flash_attn_ext_vec(ggml_backend_cuda_context & ctx, ggml_t
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_Q5_0)
 
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q5_1)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_1)
@@ -252,6 +268,7 @@ static void ggml_cuda_flash_attn_ext_vec(ggml_backend_cuda_context & ctx, ggml_t
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_1)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_1)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_Q5_1)
 
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q8_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q8_0)
@@ -259,10 +276,20 @@ static void ggml_cuda_flash_attn_ext_vec(ggml_backend_cuda_context & ctx, ggml_t
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q8_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q8_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_Q8_0)
+
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_BF16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_BF16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_BF16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_BF16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_BF16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_BF16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_BF16)
 #else
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_F16)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
     FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_BF16, GGML_TYPE_BF16)
 #endif // GGML_CUDA_FA_ALL_QUANTS
 
     GGML_ABORT("fatal error");
@@ -325,6 +352,14 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
                 return BEST_FATTN_KERNEL_NONE;
             }
             break;
+        case 512:
+            if (V->ne[0] != K->ne[0]) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            if (!gqa_opt_applies) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            break;
         case 576:
             if (V->ne[0] != 512) {
                 return BEST_FATTN_KERNEL_NONE;
@@ -355,6 +390,7 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
 #endif // GGML_CUDA_FA_ALL_QUANTS
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q8_0:
+        case GGML_TYPE_BF16:
             break;
         default:
             return BEST_FATTN_KERNEL_NONE;
@@ -408,7 +444,7 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
     }
 
     // Use the WMMA kernel if possible:
-    if (ggml_cuda_should_use_wmma_fattn(cc) && K->ne[1] % FATTN_KQ_STRIDE == 0 && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 576) {
+    if (ggml_cuda_should_use_wmma_fattn(cc) && K->ne[1] % FATTN_KQ_STRIDE == 0 && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 512 && Q->ne[0] != 576) {
         if (can_use_vector_kernel && Q->ne[1] <= 2) {
             return BEST_FATTN_KERNEL_VEC;
         }
@@ -441,7 +477,7 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
     }
 
     // Use MFMA flash attention for CDNA (MI100+):
-    if (amd_mfma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 256 && Q->ne[0] != 576) {
+    if (amd_mfma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 256 && Q->ne[0] != 512 && Q->ne[0] != 576) {
         const int64_t eff_nq = Q->ne[1] * (gqa_opt_applies ? gqa_ratio : 1);
         // MMA vs tile crossover benchmarked on MI300X @ d32768:
         //   hsk=64  (gqa=4): MMA wins at eff >= 128 (+11%)
diff --git a/ggml/src/ggml-cuda/getrows.cu b/ggml/src/ggml-cuda/getrows.cu
index 2fab33243ddadce3e2b23a20361d43492106272e..e99cba63d34451f17239a3ae28533bdd8b5a4e55 100644
--- a/ggml/src/ggml-cuda/getrows.cu
+++ b/ggml/src/ggml-cuda/getrows.cu
@@ -179,6 +179,10 @@ static void ggml_cuda_get_rows_switch_src0_type(
             get_rows_cuda_float((const nv_bfloat16 *) src0_d, src1_d, dst_d,
                 ne00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb1, nb2, nb3, stream);
             break;
+        case GGML_TYPE_Q1_0:
+            get_rows_cuda_q<QK1_0, QR1_0, dequantize_q1_0>(src0_d, src1_d, dst_d,
+                ne00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb1, nb2, nb3, stream);
+            break;
         case GGML_TYPE_Q4_0:
             get_rows_cuda_q<QK4_0, QR4_0, dequantize_q4_0>(src0_d, src1_d, dst_d,
                 ne00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb1, nb2, nb3, stream);
diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
index a31e843e153e87eeb7e8f540004b28aaf116eb68..185956317e0866f65498a00273b650a65f4d43e9 100644
--- a/ggml/src/ggml-cuda/ggml-cuda.cu
+++ b/ggml/src/ggml-cuda/ggml-cuda.cu
@@ -82,7 +82,6 @@
 #include <cstdlib>
 #include <string>
 #include <vector>
-#include <unordered_set>
 
 static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size");
 
@@ -325,6 +324,22 @@ static ggml_cuda_device_info ggml_cuda_init() {
     // configure logging to stdout
     // CUBLAS_CHECK(cublasLoggerConfigure(1, 1, 0, nullptr));
 
+    if (getenv("GGML_CUDA_P2P") != nullptr) {
+        for (int id = 0; id < info.device_count; ++id) {
+            ggml_cuda_set_device(id);
+            for (int id_other = 0; id_other < info.device_count; ++id_other) {
+                if (id == id_other) {
+                    continue;
+                }
+                int can_access_peer;
+                CUDA_CHECK(cudaDeviceCanAccessPeer(&can_access_peer, id, id_other));
+                if (can_access_peer) {
+                    CUDA_CHECK(cudaDeviceEnablePeerAccess(id_other, 0));
+                }
+            }
+        }
+    }
+
     return info;
 }
 
@@ -353,15 +368,21 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
     }
 
     ~ggml_cuda_pool_leg() {
+        clear_pool();
+        GGML_ASSERT(pool_size == 0);
+    }
+
+    void clear_pool() {
         ggml_cuda_set_device(device);
         for (int i = 0; i < MAX_BUFFERS; ++i) {
             ggml_cuda_buffer & b = buffer_pool[i];
             if (b.ptr != nullptr) {
                 CUDA_CHECK(cudaFree(b.ptr));
                 pool_size -= b.size;
+                b.ptr  = nullptr;
+                b.size = 0;
             }
         }
-        GGML_ASSERT(pool_size == 0);
     }
 
     void * alloc(size_t size, size_t * actual_size) override {
@@ -406,7 +427,20 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
         size_t look_ahead_size = (size_t) (1.05 * size);
         look_ahead_size = 256 * ((look_ahead_size + 255)/256);
         ggml_cuda_set_device(device);
-        CUDA_CHECK(ggml_cuda_device_malloc(&ptr, look_ahead_size, device));
+        cudaError_t err = ggml_cuda_device_malloc(&ptr, look_ahead_size, device);
+        if (err == cudaErrorMemoryAllocation) {
+            (void)cudaGetLastError();
+            const size_t cached_bytes = pool_size;
+            GGML_LOG_DEBUG(GGML_CUDA_NAME " pool[%d]: alloc of %.2f MiB failed, flushing %.2f MiB of cached buffers and retrying\n",
+                           device, look_ahead_size/1024.0/1024.0, cached_bytes/1024.0/1024.0);
+            CUDA_CHECK(cudaDeviceSynchronize());
+            clear_pool();
+            err = ggml_cuda_device_malloc(&ptr, look_ahead_size, device);
+            if (err == cudaSuccess) {
+                GGML_LOG_DEBUG(GGML_CUDA_NAME " pool[%d]: retry succeeded\n", device);
+            }
+        }
+        CUDA_CHECK(err);
         *actual_size = look_ahead_size;
         pool_size += look_ahead_size;
 #ifdef DEBUG_CUDA_MALLOC
@@ -633,26 +667,46 @@ static enum ggml_status ggml_backend_cuda_buffer_init_tensor(ggml_backend_buffer
 }
 
 static void ggml_backend_cuda_buffer_memset_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
-    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *)buffer->context;
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
 
     ggml_cuda_set_device(ctx->device);
-    CUDA_CHECK(cudaMemsetAsync((char *)tensor->data + offset, value, size, cudaStreamPerThread));
+    CUDA_CHECK(cudaMemsetAsync((char *) tensor->data + offset, value, size, cudaStreamPerThread));
     CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
 }
 
 static void ggml_backend_cuda_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *)buffer->context;
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
 
     ggml_cuda_set_device(ctx->device);
-    CUDA_CHECK(cudaMemcpyAsync((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice, cudaStreamPerThread));
+    CUDA_CHECK(cudaMemcpyAsync((char *) tensor->data + offset, data, size, cudaMemcpyHostToDevice, cudaStreamPerThread));
     CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
 }
 
 static void ggml_backend_cuda_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
+
+    ggml_cuda_set_device(ctx->device);
+    CUDA_CHECK(cudaMemcpyAsync(data, (const char *) tensor->data + offset, size, cudaMemcpyDeviceToHost, cudaStreamPerThread));
+    CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
+}
+
+static void ggml_backend_cuda_buffer_set_tensor_2d(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
+
+    ggml_cuda_set_device(ctx->device);
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        (char *) tensor->data + offset, stride_tensor, data, stride_data, size, n_copies, cudaMemcpyHostToDevice, cudaStreamPerThread));
+    CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
+}
+
+static void ggml_backend_cuda_buffer_get_tensor_2d(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
     ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *)buffer->context;
 
     ggml_cuda_set_device(ctx->device);
-    CUDA_CHECK(cudaMemcpyAsync(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost, cudaStreamPerThread));
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        data, stride_data, (const char *) tensor->data + offset, stride_tensor, size, n_copies, cudaMemcpyDeviceToHost, cudaStreamPerThread));
     CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
 }
 
@@ -692,6 +746,8 @@ static const ggml_backend_buffer_i ggml_backend_cuda_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_cuda_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cuda_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cuda_buffer_get_tensor,
+    /* .set_tensor_2d   = */ ggml_backend_cuda_buffer_set_tensor_2d,
+    /* .get_tensor_2d   = */ ggml_backend_cuda_buffer_get_tensor_2d,
     /* .cpy_tensor      = */ ggml_backend_cuda_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cuda_buffer_clear,
     /* .reset           = */ NULL,
@@ -1004,6 +1060,8 @@ static const ggml_backend_buffer_i ggml_backend_cuda_split_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_cuda_split_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cuda_split_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_cuda_split_buffer_clear,
     /* .reset           = */ NULL,
@@ -1080,6 +1138,148 @@ static const ggml_backend_buffer_type_i ggml_backend_cuda_split_buffer_type_inte
     /* .is_host          = */ ggml_backend_cuda_split_buffer_type_is_host,
 };
 
+#ifdef GGML_USE_NCCL
+struct ggml_backend_cuda_comm_context {
+    std::vector<ggml_backend_t> backends;
+    std::vector<ncclComm_t> comms;
+
+    ~ggml_backend_cuda_comm_context() {
+        for (ncclComm_t comm : comms) {
+            NCCL_CHECK(ncclCommDestroy(comm));
+        }
+    }
+};
+#endif // GGML_USE_NCCL
+
+static void ggml_backend_cuda_comm_free(void * comm_ctx_v) {
+#ifdef GGML_USE_NCCL
+    if (comm_ctx_v == nullptr) {
+        return;
+    }
+    ggml_backend_cuda_comm_context * comm_ctx = (ggml_backend_cuda_comm_context *) comm_ctx_v;
+    delete comm_ctx;
+#else
+    GGML_UNUSED(comm_ctx_v);
+#endif // GGML_USE_NCCL
+}
+
+static void * ggml_backend_cuda_comm_init(ggml_backend_t * backends, size_t n_backends) {
+#ifdef GGML_USE_NCCL
+    for (size_t i = 0; i < n_backends; i++) {
+        if (!ggml_backend_is_cuda(backends[i])) {
+            return nullptr;
+        }
+    }
+    ggml_backend_cuda_comm_context * ret = new ggml_backend_cuda_comm_context;
+    std::vector<int> dev_ids;
+    ret->backends.reserve(n_backends);
+    dev_ids.reserve(n_backends);
+    for (size_t i = 0; i < n_backends; i++) {
+        ret->backends.push_back(backends[i]);
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backends[i]->context;
+        dev_ids.push_back(cuda_ctx->device);
+    }
+
+    ret->comms.resize(n_backends);
+    NCCL_CHECK(ncclCommInitAll(ret->comms.data(), n_backends, dev_ids.data()));
+    return ret;
+#else
+    // If NCCL is installed it is used by default for optimal performance.
+    // However, NVIDIA does not distribute NCCL with CUDA so users may be unwittingly missing this package.
+    // RCCL is disabled by default, users are explicitly opting in.
+    // Therefore print no warning for RCCL.
+#if !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)
+    static bool warning_printed = false;
+    if (!warning_printed) {
+        GGML_LOG_WARN("%s: NVIDIA Collective Communications Library (NCCL) is unavailable, multi GPU performance will be suboptimal\n", __func__);
+        warning_printed = true;
+    }
+#endif // !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)
+    GGML_UNUSED_VARS(backends, n_backends);
+    return nullptr;
+#endif // GGML_USE_NCCL
+}
+
+static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct ggml_tensor ** tensors) {
+#ifdef GGML_USE_NCCL
+    const int64_t ne = ggml_nelements(tensors[0]);
+    // FIXME the input of llm_graph_context::build_in_out_ids can produce a tensor with 0 elements if n_outputs == 0
+    // This then causes a crash in this function
+    if (ne == 0) {
+        return true;
+    }
+
+    GGML_ASSERT(comm_ctx_v != nullptr);
+    ggml_backend_cuda_comm_context * comm_ctx = (ggml_backend_cuda_comm_context *) comm_ctx_v;
+    const size_t n_backends = comm_ctx->backends.size();
+
+    for (size_t i = 0; i < n_backends; ++i) {
+        GGML_ASSERT(tensors[i] != nullptr);
+        GGML_ASSERT(ggml_nelements(tensors[i]) == ne);
+        GGML_ASSERT(ggml_is_contiguously_allocated(tensors[i]));
+    }
+
+    // For small tensors, simply reduce them as FP32.
+    // The following heuristic for how "small" a tensor should be is based on RTX 4090s connected via 16x PCIe 4.0.
+    if ((n_backends <= 2 && ne < 32768) || (n_backends == 3 && ne < 131072) || (n_backends >= 4 && ne < 262144)) {
+        for (size_t i = 0; i < n_backends; ++i) {
+            if ((tensors[i]->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) {
+                ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+                ggml_cuda_set_device(cuda_ctx->device);
+                CUDA_CHECK(cudaMemsetAsync(tensors[i]->data, 0, ggml_nbytes(tensors[i]), cuda_ctx->stream()));
+            }
+        }
+        NCCL_CHECK(ncclGroupStart());
+        for (size_t i = 0; i < n_backends; ++i) {
+            ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+            NCCL_CHECK(ncclAllReduce(tensors[i]->data, tensors[i]->data, ne, ncclFloat, ncclSum, comm_ctx->comms[i], cuda_ctx->stream()));
+        }
+        NCCL_CHECK(ncclGroupEnd());
+
+        return true;
+    }
+
+    // For large tensors it's faster to compress them to BF16 for the reduction:
+    to_bf16_cuda_t to_bf16 = ggml_get_to_bf16_cuda(GGML_TYPE_F32);
+    to_fp32_cuda_t to_fp32 = ggml_get_to_fp32_cuda(GGML_TYPE_BF16);
+
+    ggml_cuda_pool_alloc<nv_bfloat16> tmp[GGML_CUDA_MAX_DEVICES];
+    for (size_t i = 0; i < n_backends; ++i) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+        tmp[i].pool = &cuda_ctx->pool();
+        tmp[i].alloc(ne);
+
+        ggml_cuda_set_device(cuda_ctx->device);
+        if (tensors[i]->flags & GGML_TENSOR_FLAG_COMPUTE) {
+            to_bf16(tensors[i]->data, tmp[i].get(), ne, cuda_ctx->stream());
+        } else {
+            CUDA_CHECK(cudaMemsetAsync(tmp[i].get(), 0, ne * sizeof(nv_bfloat16), cuda_ctx->stream()));
+        }
+        CUDA_CHECK(cudaGetLastError());
+    }
+
+    NCCL_CHECK(ncclGroupStart());
+    for (size_t i = 0; i < n_backends; ++i) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+        NCCL_CHECK(ncclAllReduce(tmp[i].get(), tmp[i].get(), ne, ncclBfloat16, ncclSum, comm_ctx->comms[i], cuda_ctx->stream()));
+    }
+    NCCL_CHECK(ncclGroupEnd());
+
+    for (size_t i = 0; i < n_backends; ++i) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+
+        ggml_cuda_set_device(cuda_ctx->device);
+        to_fp32(tmp[i].get(), (float *) tensors[i]->data, ne, cuda_ctx->stream());
+        CUDA_CHECK(cudaGetLastError());
+    }
+
+    return true;
+#else
+    GGML_UNUSED_VARS(comm_ctx_v, tensors);
+    return false;
+#endif // GGML_USE_NCCL
+}
+
 ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(int main_device, const float * tensor_split) {
     static std::mutex mutex;
     std::lock_guard<std::mutex> lock(mutex);
@@ -1297,7 +1497,12 @@ static void ggml_cuda_op_mul_mat_cublas(
     const bool supports_bf16 = GGML_CUDA_CC_IS_NVIDIA(cc) || GGML_CUDA_CC_IS_AMD(cc) ||
         (GGML_CUDA_CC_IS_MTHREADS(cc) && cc >= GGML_CUDA_CC_QY2);
 
-    const bool use_fp16 = (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1] && dst->op_params[0] == GGML_PREC_DEFAULT;
+    const bool use_fp16 =
+        src0->type != GGML_TYPE_NVFP4 &&
+        (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) &&
+        ggml_is_contiguous(src0) &&
+        row_diff == src0->ne[1] &&
+        dst->op_params[0] == GGML_PREC_DEFAULT;
 
     if (supports_bf16 && src0->type == GGML_TYPE_BF16 && ggml_is_contiguous(src0) && row_diff == src0->ne[1]) {
         ggml_cuda_pool_alloc<nv_bfloat16> src1_as_bf16(ctx.pool(id));
@@ -1421,64 +1626,6 @@ static void ggml_cuda_op_mul_mat_cublas(
     GGML_UNUSED_VARS(dst, src1_ddq_i, src1_padded_row_size);
 }
 
-static void ggml_cuda_set_peer_access(const int n_tokens, int main_device) {
-    static bool peer_access_enabled = false;
-
-    const bool enable_peer_access = n_tokens <= GGML_CUDA_PEER_MAX_BATCH_SIZE;
-
-    if (peer_access_enabled == enable_peer_access) {
-        return;
-    }
-
-#ifdef NDEBUG
-    for (int id = 0; id < ggml_backend_cuda_get_device_count(); ++id) {
-        ggml_cuda_set_device(id);
-        CUDA_CHECK(cudaDeviceSynchronize());
-    }
-
-    for (int id = 0; id < ggml_backend_cuda_get_device_count(); ++id) {
-        ggml_cuda_set_device(id);
-
-        for (int id_other = 0; id_other < ggml_backend_cuda_get_device_count(); ++id_other) {
-            if (id == id_other) {
-                continue;
-            }
-            if (id != main_device && id_other != main_device) {
-                continue;
-            }
-
-            int can_access_peer;
-            CUDA_CHECK(cudaDeviceCanAccessPeer(&can_access_peer, id, id_other));
-            if (can_access_peer) {
-                if (enable_peer_access) {
-                    cudaError_t err = cudaDeviceEnablePeerAccess(id_other, 0);
-                    if (err != cudaErrorPeerAccessAlreadyEnabled) {
-                        CUDA_CHECK(err);
-                    } else {
-                        // reset the error
-                        (void)cudaGetLastError();
-                    }
-                } else {
-                    cudaError_t err = cudaDeviceDisablePeerAccess(id_other);
-                    if (err != cudaErrorPeerAccessNotEnabled) {
-                        CUDA_CHECK(err);
-                    } else {
-                        // reset the error
-                        (void)cudaGetLastError();
-                    }
-                }
-            }
-        }
-    }
-
-    ggml_cuda_set_device(main_device);
-#endif // NDEBUG
-
-    peer_access_enabled = enable_peer_access;
-
-    GGML_UNUSED(main_device);
-}
-
 static cudaError_t ggml_cuda_Memcpy2DPeerAsync(
     void * dst, int dstDevice, size_t dpitch, void * src, int srcDevice, size_t spitch, size_t width, size_t height, cudaStream_t stream) {
 
@@ -2338,7 +2485,8 @@ static void ggml_cuda_mul_mat_id(ggml_backend_cuda_context & ctx, ggml_tensor *
         static_assert(MMVQ_MAX_BATCH_SIZE == MMVF_MAX_BATCH_SIZE);
         if (ne2 <= MMVQ_MAX_BATCH_SIZE) {
             if (ggml_is_quantized(src0->type)) {
-                if (ne2 <= MMVQ_MMID_MAX_BATCH_SIZE) {
+                const int mmvq_mmid_max = get_mmvq_mmid_max_batch(src0->type, cc);
+                if (ne2 <= mmvq_mmid_max) {
                     ggml_cuda_mul_mat_vec_q(ctx, src0, src1, ids, dst);
                     return;
                 }
@@ -2478,11 +2626,6 @@ static void ggml_cuda_mul_mat_id(ggml_backend_cuda_context & ctx, ggml_tensor *
 }
 
 static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct ggml_tensor * dst) {
-    // why is this here instead of mul_mat?
-    if (dst->src[0] != nullptr && ggml_backend_buft_is_cuda_split(dst->src[0]->buffer->buft)) {
-        ggml_cuda_set_peer_access(dst->src[1]->ne[1], ctx.device);
-    }
-
     switch (dst->op) {
         case GGML_OP_ARGMAX:
             ggml_cuda_argmax(ctx, dst);
@@ -2840,21 +2983,43 @@ static void ggml_backend_cuda_free(ggml_backend_t backend) {
 }
 
 static void ggml_backend_cuda_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
 
     GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
 
-    CUDA_CHECK(cudaMemcpyAsync((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice, cuda_ctx->stream()));
+    CUDA_CHECK(cudaMemcpyAsync((char *) tensor->data + offset, data, size, cudaMemcpyHostToDevice, cuda_ctx->stream()));
 }
 
 static void ggml_backend_cuda_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
 
     GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
 
-    CUDA_CHECK(cudaMemcpyAsync(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost, cuda_ctx->stream()));
+    CUDA_CHECK(cudaMemcpyAsync(data, (const char *) tensor->data + offset, size, cudaMemcpyDeviceToHost, cuda_ctx->stream()));
+}
+
+static void ggml_backend_cuda_set_tensor_2d_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+
+    GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
+
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        (char *) tensor->data + offset, stride_tensor, data, stride_data, size, n_copies, cudaMemcpyHostToDevice, cuda_ctx->stream()));
+}
+
+static void ggml_backend_cuda_get_tensor_2d_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+
+    GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
+
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        data, stride_data, (const char *) tensor->data + offset, stride_tensor, size, n_copies, cudaMemcpyDeviceToHost, cuda_ctx->stream()));
 }
 
 static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) {
@@ -2865,21 +3030,21 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_
         return false;
     }
 
-    if (!ggml_backend_buffer_is_cuda(src->buffer) || !ggml_backend_buffer_is_cuda(dst->buffer)) {
+    if (!ggml_backend_buffer_is_cuda(buf_src) || !ggml_backend_buffer_is_cuda(buf_dst)) {
         return false;
     }
 
     // device -> device copy
-    ggml_backend_cuda_context * cuda_ctx_src = (ggml_backend_cuda_context *)backend_src->context;
-    ggml_backend_cuda_context * cuda_ctx_dst = (ggml_backend_cuda_context *)backend_dst->context;
+    ggml_backend_cuda_context * cuda_ctx_src = (ggml_backend_cuda_context *) backend_src->context;
+    ggml_backend_cuda_context * cuda_ctx_dst = (ggml_backend_cuda_context *) backend_dst->context;
 
-    ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *)buf_src->context;
-    ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *)buf_dst->context;
+    ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *) buf_src->context;
+    ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *) buf_dst->context;
 
     if (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device) {
 #ifndef NDEBUG
         GGML_LOG_DEBUG("%s: backend and buffer devices do not match\n", __func__);
-#endif
+#endif // NDEBUG
         return false;
     }
 
@@ -2892,7 +3057,7 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_
             return false;
 #else
             CUDA_CHECK(cudaMemcpyPeerAsync(dst->data, cuda_ctx_dst->device, src->data, cuda_ctx_src->device, ggml_nbytes(dst), cuda_ctx_src->stream()));
-#endif
+#endif // GGML_CUDA_NO_PEER_COPY
         }
 
         // record event on src stream after the copy
@@ -2941,14 +3106,18 @@ static bool ggml_cuda_graph_check_compability(ggml_cgraph * cgraph) {
         }
 
         // [TAG_MUL_MAT_ID_CUDA_GRAPHS]
-        if (node->op == GGML_OP_MUL_MAT_ID && (!ggml_is_quantized(node->src[0]->type) || node->ne[2] > MMVQ_MMID_MAX_BATCH_SIZE)) {
-            // under these conditions, the mul_mat_id operation will need to synchronize the stream, so we cannot use CUDA graphs
-            // TODO: figure out a way to enable for larger batch sizes, without hurting performance
-            // ref: https://github.com/ggml-org/llama.cpp/pull/18958
-            use_cuda_graph = false;
+        if (node->op == GGML_OP_MUL_MAT_ID) {
+            const int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc;
+            const int mmvq_mmid_max = get_mmvq_mmid_max_batch(node->src[0]->type, cc);
+            if (!ggml_is_quantized(node->src[0]->type) || node->ne[2] > mmvq_mmid_max) {
+                // under these conditions, the mul_mat_id operation will need to synchronize the stream, so we cannot use CUDA graphs
+                // TODO: figure out a way to enable for larger batch sizes, without hurting performance
+                // ref: https://github.com/ggml-org/llama.cpp/pull/18958
+                use_cuda_graph = false;
 #ifndef NDEBUG
-            GGML_LOG_DEBUG("%s: disabling CUDA graphs due to unsupported node type\n", __func__);
+                GGML_LOG_DEBUG("%s: disabling CUDA graphs due to unsupported node type\n", __func__);
 #endif
+            }
         }
 
         if (!use_cuda_graph) {
@@ -2959,74 +3128,6 @@ static bool ggml_cuda_graph_check_compability(ggml_cgraph * cgraph) {
     return use_cuda_graph;
 }
 
-static void ggml_cuda_graph_node_set_properties(ggml_cuda_graph_node_properties * props, ggml_tensor * node) {
-    memset(props, 0, sizeof(ggml_cuda_graph_node_properties));
-    props->node_data = node->data;
-    props->node_op = node->op;
-    props->node_type = node->type;
-    props->flags = node->flags;
-    for (int i = 0; i < GGML_MAX_DIMS; i++) {
-        props->ne[i] = node->ne[i];
-        props->nb[i] = node->nb[i];
-    }
-    for (int i = 0; i < GGML_MAX_SRC; i++) {
-        if (!node->src[i]) {
-            continue;
-        }
-
-        props->src_data[i] = node->src[i]->data;
-    }
-    memcpy(props->op_params, node->op_params, GGML_MAX_OP_PARAMS);
-}
-
-static bool ggml_cuda_graph_node_properties_match(ggml_tensor * node, ggml_cuda_graph_node_properties * props) {
-    if (node->data != props->node_data && node->op != GGML_OP_VIEW) {
-        return false;
-    }
-
-    if (node->op != props->node_op) {
-        return false;
-    }
-
-    if (node->type != props->node_type) {
-        return false;
-    }
-
-    for (int i = 0; i < GGML_MAX_DIMS; i++) {
-        if (node->ne[i] != props->ne[i]) {
-            return false;
-        }
-        if (node->nb[i] != props->nb[i]) {
-            return false;
-        }
-    }
-
-    if (node->op != GGML_OP_VIEW) {
-        for (int i = 0; i < GGML_MAX_SRC; i++) {
-            if (!node->src[i]) {
-                if (props->src_data[i] != nullptr) {
-                    return false;
-                }
-                continue;
-            }
-
-            if (node->src[i]->data != props->src_data[i]) {
-                return false;
-            }
-        }
-    }
-
-    if (memcmp(props->op_params, node->op_params, GGML_MAX_OP_PARAMS) != 0) {
-        return false;
-    }
-
-    if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) != (props->flags & GGML_TENSOR_FLAG_COMPUTE)) {
-        return false;
-    }
-
-    return true;
-}
-
 static const void * ggml_cuda_graph_get_key(ggml_cgraph * cgraph) {
     return cgraph->nodes[0];
 }
@@ -3037,53 +3138,37 @@ static bool ggml_cuda_graph_update_required(ggml_backend_cuda_context * cuda_ctx
     const void * graph_key = ggml_cuda_graph_get_key(cgraph);
     ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
 
-    // Check if the graph size has changed
-    if (graph->props.size() != (size_t)cgraph->n_nodes) {
-        res = true;
-        graph->props.resize(cgraph->n_nodes);
+    if (cgraph->uid != 0 &&
+        cgraph->uid == graph->uid) {
+        GGML_LOG_DEBUG("CUDA Graph id %zu reused\n", cgraph->uid);
+        GGML_ASSERT((int)graph->node_props.size() == cgraph->n_nodes);
+        return false;
     }
 
-    // Loop over nodes in GGML graph to determine if CUDA graph update is required
-    // and store properties to allow this comparison for the next token
-    std::unordered_set<ggml_tensor *> seen_node;
-    std::vector<ggml_tensor *> srcs_extra;
-    for (int i = 0; i < cgraph->n_nodes; i++) {
-        bool props_match = true;
-
-        seen_node.insert(cgraph->nodes[i]);
+    graph->uid = cgraph->uid;
 
-        if (!res) {
-            props_match = ggml_cuda_graph_node_properties_match(cgraph->nodes[i], &graph->props[i]);
-        }
-        if (!props_match) {
-            res = true;
-        }
-        ggml_cuda_graph_node_set_properties(&graph->props[i], cgraph->nodes[i]);
-
-        for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
-            ggml_tensor * src = cgraph->nodes[i]->src[src_idx];
-            if (src && seen_node.find(src) == seen_node.end()) {
-                srcs_extra.push_back(src);
-            }
-        }
-    }
-
-    if (graph->extra.size() != (size_t) srcs_extra.size()) {
+    // Check if the graph size has changed
+    if ((int)graph->node_props.size() != cgraph->n_nodes) {
         res = true;
-        graph->extra.resize(srcs_extra.size());
+        graph->node_props.resize(cgraph->n_nodes);
     }
 
-    for (size_t i = 0; i < srcs_extra.size(); ++i) {
-        bool props_match = true;
-
-        if (!res) {
-            props_match = ggml_cuda_graph_node_properties_match(srcs_extra[i], &graph->extra[i]);
+    for (int i = 0; i < cgraph->n_nodes; i++) {
+        ggml_cuda_graph::node_properties prop = {};
+        memcpy(&prop.node, cgraph->nodes[i], sizeof(ggml_tensor));
+
+        for (int j = 0; j < GGML_MAX_SRC; ++j) {
+            if (cgraph->nodes[i]->src[j]) {
+                prop.node_src_data_ptrs[j] = cgraph->nodes[i]->src[j]->data;
+                memcpy(prop.node_src_ne[j], cgraph->nodes[i]->src[j]->ne, sizeof(prop.node_src_ne[j]));
+                memcpy(prop.node_src_nb[j], cgraph->nodes[i]->src[j]->nb, sizeof(prop.node_src_nb[j]));
+            }
         }
 
-        if (!props_match) {
+        if (res || memcmp(&graph->node_props[i], &prop, sizeof(prop)) != 0) {
+            graph->node_props[i] = prop;
             res = true;
         }
-        ggml_cuda_graph_node_set_properties(&graph->extra[i], srcs_extra[i]);
     }
 
     return res;
@@ -3298,6 +3383,71 @@ static bool ggml_cuda_topk_moe_fusion(const struct ggml_cgraph * cgraph, int nod
     return true;
 }
 
+// returns whether the write (out) nodes overwrite the read nodes in operation
+static bool ggml_cuda_check_fusion_memory_ranges(const ggml_cgraph * cgraph,
+                                                 const int           node_idx,
+                                                 const int           node_count,
+                                                 const int *         out_nodes,
+                                                 const int           out_count,
+                                                 const bool          is_topk_moe = false) {
+    auto nodes_overlap = [&](const ggml_tensor * a, const ggml_tensor * b) {
+        const int64_t a_start = (int64_t) a->data;
+        const int64_t a_end   = a_start + ggml_backend_buft_get_alloc_size(a->buffer->buft, a);
+
+        const int64_t b_start = (int64_t) b->data;
+        const int64_t b_end   = b_start + ggml_backend_buft_get_alloc_size(b->buffer->buft, b);
+
+        if ((b_start <= a_start && a_start < b_end) || (a_start <= b_start && b_start < a_end)) {
+            return true;
+        }
+
+        return false;
+    };
+
+    bool is_ok = true;
+    // exception for topk-moe, as each row is read entirely before writing
+    if (ggml_nrows(cgraph->nodes[node_idx]) == 1 && is_topk_moe) {
+        return true;
+    }
+
+    for (int i = 0; i < out_count; ++i) {
+        const ggml_tensor * dst = cgraph->nodes[out_nodes[i]];
+
+        for (int j = node_idx; j < node_idx + node_count; ++j) {
+            // Loop over all srcs of all nodes in the fusion. If the src overlaps
+            // the destination and the src is not an intermediate node that's being
+            // elided, then disable fusion.
+
+            for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
+                const ggml_tensor * src = cgraph->nodes[j]->src[src_idx];
+
+                if (!src || src->op == GGML_OP_NONE) {
+                    continue;
+                }
+
+                if (nodes_overlap(dst, src)) {
+                    bool found = false;
+
+                    for (int k = node_idx; k < j; ++k) {
+                        if (cgraph->nodes[k] == src) {
+                            found = true;
+                            break;
+                        }
+                    }
+
+                    if (!found) {
+                        is_ok = false;
+                        break;
+                    }
+                }
+            }
+        }
+    }
+
+    return is_ok;
+}
+
+
 static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
                                int                                       node_idx,
                                std::initializer_list<enum ggml_op>       ops,
@@ -3327,7 +3477,8 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         const ggml_tensor * glu           = cgraph->nodes[node_idx + 4];
 
         if (ggml_cuda_should_fuse_mul_mat(ffn_up, ffn_gate, glu, ffn_up_bias, ffn_gate_bias)) {
-            return true;
+            int out_nodes[] = { node_idx + 4 };
+            return ggml_cuda_check_fusion_memory_ranges(cgraph, node_idx, (int)ops.size(), out_nodes, 1);
         }
     }
 
@@ -3338,7 +3489,8 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         const ggml_tensor * glu      = cgraph->nodes[node_idx + 2];
 
         if (ggml_cuda_should_fuse_mul_mat(ffn_up, ffn_gate, glu)) {
-            return true;
+            int out_nodes[] = { node_idx + 2 };
+            return ggml_cuda_check_fusion_memory_ranges(cgraph, node_idx, (int)ops.size(), out_nodes, 1);
         }
     }
 
@@ -3464,69 +3616,6 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
     return false;
 }
 
-// returns whether the write (out) nodes overwrite the read nodes in operation
-static bool ggml_cuda_check_fusion_memory_ranges(ggml_cgraph * cgraph,
-                                                 int           node_idx,
-                                                 int           node_count,
-                                                 int *         out_nodes,
-                                                 int           out_count) {
-    auto nodes_overlap = [&](const ggml_tensor * a, const ggml_tensor * b) {
-        const int64_t a_start = (int64_t) a->data;
-        const int64_t a_end   = a_start + ggml_nbytes(a);
-
-        const int64_t b_start = (int64_t) b->data;
-        const int64_t b_end   = b_start + ggml_nbytes(b);
-
-        if ((b_start <= a_start && a_start < b_end) || (a_start <= b_start && b_start < a_end)) {
-            return true;
-        }
-
-        return false;
-    };
-
-    bool is_ok = true;
-    // for nrows=1, all fusion operations correctly read the src before writing dst or do it elementwise, so we should be ok
-    if (ggml_nrows(cgraph->nodes[node_idx]) == 1) {
-        return true;
-    }
-
-    for (int i = 0; i < out_count; ++i) {
-        const ggml_tensor * dst = cgraph->nodes[out_nodes[i]];
-
-        for (int j = node_idx; j < node_idx + node_count; ++j) {
-            // Loop over all srcs of all nodes in the fusion. If the src overlaps
-            // the destination and the src is not an intermediate node that's being
-            // elided, then disable fusion.
-
-            for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
-                const ggml_tensor * src = cgraph->nodes[j]->src[src_idx];
-
-                if (!src || src->op == GGML_OP_NONE) {
-                    continue;
-                }
-
-                if (nodes_overlap(dst, src)) {
-                    bool found = false;
-
-                    for (int k = node_idx; k < j; ++k) {
-                        if (cgraph->nodes[k] == src) {
-                            found = true;
-                            break;
-                        }
-                    }
-
-                    if (!found) {
-                        is_ok = false;
-                        break;
-                    }
-                }
-            }
-        }
-    }
-
-    return is_ok;
-}
-
 static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cuda_ctx, ggml_cgraph * cgraph, const bool use_cuda_graph, const bool cuda_graph_update_required, const void * graph_key) {
     bool graph_evaluated_or_captured = false;
 
@@ -3724,7 +3813,7 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
 
                                 if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
                                     ggml_cuda_should_use_topk_moe(node, logits, weights, ids) &&
-                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2)) {
+                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2, /*is_topk_moe=*/ true)) {
                                     ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
                                     i += ops.size() - 1;
                                     continue;
@@ -3740,7 +3829,7 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                                 int out_nodes[2] = { i + 1, i + 5 };
                                 if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
                                     ggml_cuda_should_use_topk_moe(softmax, logits, weights, ids) &&
-                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2)) {
+                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2, /*is_topk_moe=*/ true)) {
                                     ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
                                     i += ops.size() - 1;
                                     continue;
@@ -3758,10 +3847,10 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                         continue;
                     }
 
-                    if (node->op == GGML_OP_ADD) {
+                    if (node->op == GGML_OP_ADD || node->op == GGML_OP_MUL) {
                         int n_fuse = 0;
                         ggml_op ops[8];
-                        std::fill(ops, ops + 8, GGML_OP_ADD);
+                        std::fill(ops, ops + 8, node->op);
 
                         for (; n_fuse <= 6; ++n_fuse){
                             if (!ggml_can_fuse(cgraph, i + n_fuse, ops + n_fuse, 2)) {
@@ -3778,13 +3867,17 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                         n_fuse++;
 
                         if (n_fuse > 1) {
-                            ggml_tensor fused_add_node;
-                            memcpy(&fused_add_node, node, sizeof(ggml_tensor));
+                            ggml_tensor fused_node;
+                            memcpy(&fused_node, node, sizeof(ggml_tensor));
                             for (int j = 0; j < n_fuse - 1; ++j) {
-                                fused_add_node.src[j + 2] = cgraph->nodes[i + j + 1]->src[1];
+                                fused_node.src[j + 2] = cgraph->nodes[i + j + 1]->src[1];
+                            }
+                            fused_node.data = cgraph->nodes[i + n_fuse - 1]->data;
+                            if (node->op == GGML_OP_ADD) {
+                                ggml_cuda_op_fused_add(*cuda_ctx, &fused_node, n_fuse);
+                            } else {
+                                ggml_cuda_op_fused_mul(*cuda_ctx, &fused_node, n_fuse);
                             }
-                            fused_add_node.data = cgraph->nodes[i + n_fuse - 1]->data;
-                            ggml_cuda_op_fused_add(*cuda_ctx, &fused_add_node, n_fuse);
                             i += n_fuse - 1;
 
                             continue;
@@ -4425,6 +4518,8 @@ static const ggml_backend_i ggml_backend_cuda_interface = {
     /* .free                    = */ ggml_backend_cuda_free,
     /* .set_tensor_async        = */ ggml_backend_cuda_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_cuda_get_tensor_async,
+    /* .get_tensor_2d_async     = */ ggml_backend_cuda_set_tensor_2d_async,
+    /* .set_tensor_2d_async     = */ ggml_backend_cuda_get_tensor_2d_async,
     /* .cpy_tensor_async        = */ ggml_backend_cuda_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_cuda_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -4775,12 +4870,14 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
                 switch (a->type) {
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
                     case GGML_TYPE_Q5_1:
                     case GGML_TYPE_Q8_0:
                     case GGML_TYPE_MXFP4:
+                    case GGML_TYPE_NVFP4:
                     case GGML_TYPE_Q2_K:
                     case GGML_TYPE_Q3_K:
                     case GGML_TYPE_Q4_K:
@@ -4811,6 +4908,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
                     case GGML_TYPE_F32:
                     case GGML_TYPE_BF16:
                     case GGML_TYPE_I32:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -5211,6 +5309,15 @@ static ggml_backend_feature * ggml_backend_cuda_get_features(ggml_backend_reg_t
 
 static void * ggml_backend_cuda_reg_get_proc_address(ggml_backend_reg_t reg, const char * name) {
     GGML_UNUSED(reg);
+    if (strcmp(name, "ggml_backend_comm_init") == 0) {
+        return (void *)ggml_backend_cuda_comm_init;
+    }
+    if (strcmp(name, "ggml_backend_comm_free") == 0) {
+        return (void *)ggml_backend_cuda_comm_free;
+    }
+    if (strcmp(name, "ggml_backend_comm_allreduce_tensor") == 0) {
+        return (void *)ggml_backend_cuda_comm_allreduce_tensor;
+    }
     if (strcmp(name, "ggml_backend_split_buffer_type") == 0) {
         return (void *)ggml_backend_cuda_split_buffer_type;
     }
diff --git a/ggml/src/ggml-cuda/mma.cuh b/ggml/src/ggml-cuda/mma.cuh
index 5d1dadd3e4f41f1d8bc8be9268848f5a92a54e40..b0f674635f1ab29b942790099ff35125380f4b41 100644
--- a/ggml/src/ggml-cuda/mma.cuh
+++ b/ggml/src/ggml-cuda/mma.cuh
@@ -86,17 +86,12 @@ namespace ggml_cuda_mma {
     //   - (I_MAJOR, I_MAJOR_MIRRORED) -> I_MAJOR
     //   - (I_MAJOR, J_MAJOR_MIRRORED) -> I_MAJOR
 
-    static constexpr bool is_i_major(const data_layout dl) {
-        return dl == DATA_LAYOUT_I_MAJOR ||
-               dl == DATA_LAYOUT_I_MAJOR_MIRRORED;
-    }
-
     static constexpr __device__ data_layout get_input_data_layout() {
-#if defined(RDNA3) || __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(RDNA3) || defined(VOLTA_MMA_AVAILABLE)
         return DATA_LAYOUT_I_MAJOR_MIRRORED;
 #else
         return DATA_LAYOUT_I_MAJOR;
-#endif // defined(RDNA3) || __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#endif // defined(RDNA3) || defined(VOLTA_MMA_AVAILABLE)
     }
 
     template <int I_, int J_, typename T, data_layout ds_=DATA_LAYOUT_I_MAJOR>
@@ -113,7 +108,6 @@ namespace ggml_cuda_mma {
         T x[ne] = {0};
 
         static constexpr __device__ bool supported() {
-            if (I == 64 && J ==  2) return true;
             if (I == 16 && J ==  8) return true;
             if (I == 32 && J ==  4) return true;
             if (I == 16 && J == 16) return true;
@@ -122,7 +116,7 @@ namespace ggml_cuda_mma {
         }
 
         static __device__ __forceinline__ int get_i(const int l) {
-            if constexpr (I == 64 && J == 2) { // Special tile size to load <16, 4> as <16, 8>
+            if constexpr (I == 16 && J == 4) {
                 return threadIdx.x % 16;
             } else if constexpr (I == 16 && J == 8) {
                 return threadIdx.x % 16;
@@ -139,8 +133,8 @@ namespace ggml_cuda_mma {
         }
 
         static __device__ __forceinline__ int get_j(const int l) {
-            if constexpr (I == 64 && J == 2) { // Special tile size to load <16, 4> as <16, 8>
-                return (2 * ((threadIdx.x / 16) % 2) + l);
+            if constexpr (I == 16 && J == 4) {
+                return threadIdx.x / 16;
             } else if constexpr (I == 16 && J == 8) {
                 return 2 * (threadIdx.x / 16) + l;
             } else if constexpr (I == 32 && J == 4) {
@@ -154,7 +148,7 @@ namespace ggml_cuda_mma {
                 return -1;
             }
         }
-#elif __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#elif defined(VOLTA_MMA_AVAILABLE)
         static constexpr int ne = I * J / 32;
         T x[ne] = {0};
 
@@ -283,7 +277,7 @@ namespace ggml_cuda_mma {
         static constexpr int         J  = J_;
         static constexpr data_layout dl = DATA_LAYOUT_I_MAJOR;
 
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         static constexpr int ne = I * J / WARP_SIZE;
         half2 x[ne] = {{0.0f, 0.0f}};
 
@@ -407,7 +401,7 @@ namespace ggml_cuda_mma {
                 return -1;
             }
         }
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     };
 
     template <int I_, int J_>
@@ -701,57 +695,12 @@ namespace ggml_cuda_mma {
     }
 #endif // defined(TURING_MMA_AVAILABLE)
 
-    static __device__ __forceinline__ void make_identity_mat(tile<16, 8, half2> & t) {
-#if defined(RDNA4)
-        const int row = t.get_i(0);
-        const int left_right = t.get_j(0) / 4;
-        const int up_down = row / 8;
-        const int idx = row % 8;
-        reinterpret_cast<half*>(t.x)[idx] = left_right == up_down ? 1.0f : 0.0f;
-#else
-        GGML_UNUSED_VARS(t);
-        NO_DEVICE_CODE;
-#endif // defined(RDNA4)
-    }
-
     template <int I, int J, typename T, data_layout dl>
     static __device__ __forceinline__ void load_generic(tile<I, J, T, dl> & t, const T * __restrict__ xs0, const int stride) {
-#if defined(AMD_MFMA_AVAILABLE)
-        if constexpr (I == 64 && J == 2) { // Special tile size to load <16, 4> as <16, 8>
-#pragma unroll
-            for (int l = 0; l < t.ne; ++l) {
-                t.x[l] = xs0[t.get_i(l)*stride + t.get_j(l)];
-            }
-        } else {
-            ggml_cuda_memcpy_1<sizeof(t.x)>(t.x, xs0 + t.get_i(0) * stride + t.get_j(0));
-        }
-#elif defined(AMD_WMMA_AVAILABLE)
-        // All wmma layout has contiguous data when i-major.
-        if constexpr (is_i_major(dl)) {
-            // the data must be aligned to 16 bytes when bigger than ggml_cuda_get_max_cpy_bytes()
-            constexpr int aligned_copy_bytes = ggml_cuda_get_max_cpy_bytes();
-            if constexpr (sizeof(t.x) > aligned_copy_bytes) {
-                static_assert(sizeof(t.x) % aligned_copy_bytes == 0, "bad type size");
-                constexpr int aligned_copy_count = sizeof(t.x)/aligned_copy_bytes;
-#pragma unroll
-                for (int i = 0; i < aligned_copy_count; ++i) {
-                    ggml_cuda_memcpy_1<aligned_copy_bytes>(t.x + t.ne/aligned_copy_count*i, xs0 + t.get_i(0) * stride + t.get_j(t.ne/aligned_copy_count*i));
-                }
-            } else {
-                ggml_cuda_memcpy_1<sizeof(t.x)>(t.x, xs0 + t.get_i(0) * stride + t.get_j(0));
-            }
-        } else {
-#pragma unroll
-            for (int l = 0; l < t.ne; ++l) {
-                t.x[l] = xs0[t.get_i(l)*stride + t.get_j(l)];
-            }
-        }
-#else
 #pragma unroll
         for (int l = 0; l < t.ne; ++l) {
             t.x[l] = xs0[t.get_i(l)*stride + t.get_j(l)];
         }
-#endif // defined(AMD_MFMA_AVAILABLE)
     }
 
     template <typename T>
@@ -764,26 +713,37 @@ namespace ggml_cuda_mma {
             : "=r"(xi[0]), "=r"(xi[1])
             : "l"(xs));
 #else
-        load_generic(t, xs0, stride);
+        GGML_UNUSED_VARS(t, xs0, stride);
+        NO_DEVICE_CODE;
 #endif // TURING_MMA_AVAILABLE
     }
 
-    template <typename T>
+    template <typename T, data_layout dl>
     static __device__ __forceinline__ void load_ldmatrix(
-            tile<16, 4, T> & t, const T * __restrict__ xs0, const int stride) {
+            tile<16, 4, T, dl> & t, const T * __restrict__ xs0, const int stride) {
 #ifdef TURING_MMA_AVAILABLE
         int * xi = (int *) t.x;
         const int * xs = (const int *) xs0 + (threadIdx.x % t.I) * stride;
         asm volatile("ldmatrix.sync.aligned.m8n8.x2.b16 {%0, %1}, [%2];"
             : "=r"(xi[0]), "=r"(xi[1])
             : "l"(xs));
+#elif defined(AMD_WMMA_AVAILABLE)
+#ifdef RDNA3
+        static_assert(dl == DATA_LAYOUT_I_MAJOR_MIRRORED, "bad data layout");
+        static_assert(sizeof(t.x) == 16, "bad ne");
+        ggml_cuda_memcpy_1<8>(t.x + 0, xs0 + t.get_i(0)*stride + 0);
+        ggml_cuda_memcpy_1<8>(t.x + 2, xs0 + t.get_i(0)*stride + 2);
+#else
+        static_assert(dl == DATA_LAYOUT_I_MAJOR, "bad data layout");
+        static_assert(sizeof(t.x) == 8, "bad ne");
+        ggml_cuda_memcpy_1<8>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
+#endif // RDNA3
+#elif defined(AMD_MFMA_AVAILABLE)
+        static_assert(sizeof(t.x) == 4, "bad ne");
+        ggml_cuda_memcpy_1<4>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
 #else
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
         GGML_UNUSED_VARS(t, xs0, stride);
         NO_DEVICE_CODE;
-#else
-        load_generic(t, xs0, stride);
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
 #endif // TURING_MMA_AVAILABLE
     }
 
@@ -796,19 +756,26 @@ namespace ggml_cuda_mma {
         asm volatile("ldmatrix.sync.aligned.m8n8.x4.b16 {%0, %1, %2, %3}, [%4];"
             : "=r"(xi[0]), "=r"(xi[1]), "=r"(xi[2]), "=r"(xi[3])
             : "l"(xs));
-#else
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
-#if 1
-        // TODO: more generic handling
-        static_assert(sizeof(T) == 4, "bad type size");
+#elif defined(VOLTA_MMA_AVAILABLE)
         ggml_cuda_memcpy_1<4*sizeof(T)>(t.x + 0, xs0 + t.get_i(0)*stride + 0);
         ggml_cuda_memcpy_1<4*sizeof(T)>(t.x + 4, xs0 + t.get_i(4)*stride + 4);
+#elif defined(AMD_WMMA_AVAILABLE)
+#ifdef RDNA3
+        static_assert(dl == DATA_LAYOUT_I_MAJOR_MIRRORED, "bad data layout");
+        static_assert(sizeof(t.x) == 32, "bad ne");
+        ggml_cuda_memcpy_1<16>(t.x + 0, xs0 + t.get_i(0)*stride + 0);
+        ggml_cuda_memcpy_1<16>(t.x + 4, xs0 + t.get_i(0)*stride + 4);
 #else
-        load_generic(t, xs0, stride);
-#endif // 1
+        static_assert(dl == DATA_LAYOUT_I_MAJOR, "bad data layout");
+        static_assert(sizeof(t.x) == 16, "bad ne");
+        ggml_cuda_memcpy_1<16>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
+#endif // RDNA3
+#elif defined(AMD_MFMA_AVAILABLE)
+        static_assert(sizeof(t.x) == 8, "bad ne");
+        ggml_cuda_memcpy_1<8>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
 #else
-        load_generic(t, xs0, stride);
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+        GGML_UNUSED_VARS(t, xs0, stride);
+        NO_DEVICE_CODE;
 #endif // TURING_MMA_AVAILABLE
     }
 
@@ -827,23 +794,30 @@ namespace ggml_cuda_mma {
 
     static __device__ __forceinline__ void load_ldmatrix(
             tile<32, 4, half2> & t, const half2 * __restrict__ xs0, const int stride) {
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         ggml_cuda_memcpy_1<4*sizeof(half2)>(t.x, xs0 + t.get_i(0)*stride);
 #else
         GGML_UNUSED_VARS(t, xs0, stride);
         NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     }
 
     template <typename T>
     static __device__ __forceinline__ void load_ldmatrix_trans(
             tile<16, 8, T> & t, const T * __restrict__ xs0, const int stride) {
 #ifdef TURING_MMA_AVAILABLE
-        int * xi = (int * ) t.x;
+        int * xi = (int *) t.x;
         const int * xs = (const int *) xs0 + (threadIdx.x % t.I) * stride + (threadIdx.x / t.I) * (t.J / 2);
         asm volatile("ldmatrix.sync.aligned.m8n8.x4.trans.b16 {%0, %1, %2, %3}, [%4];"
             : "=r"(xi[0]), "=r"(xi[2]), "=r"(xi[1]), "=r"(xi[3])
             : "l"(xs));
+#elif defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        half * xh = (half *) t.x;
+#pragma unroll
+        for (int l = 0; l < t.ne; ++l) {
+            xh[2*l + 0] = ((const half *) xs0)[(2*t.get_j(l) + 0)*(2*stride) + t.get_i(l)];
+            xh[2*l + 1] = ((const half *) xs0)[(2*t.get_j(l) + 1)*(2*stride) + t.get_i(l)];
+        }
 #else
         GGML_UNUSED_VARS(t, xs0, stride);
         NO_DEVICE_CODE;
@@ -1025,7 +999,8 @@ namespace ggml_cuda_mma {
         const floatx2_t& a_frag = reinterpret_cast<const floatx2_t&>(A.x[0]);
         const floatx2_t& b_frag = reinterpret_cast<const floatx2_t&>(B.x[0]);
         acc_frag = __builtin_amdgcn_mfma_f32_16x16x8_xf32(a_frag, b_frag, acc_frag, 0, 0, 0);
-#elif defined(CDNA2) || defined(CDNA1)
+#elif defined(CDNA4) || defined(CDNA2) || defined(CDNA1)
+        // CDNA4 (gfx950) does not support xf32 MFMA, use f32 path like CDNA2/CDNA1
 #pragma unroll
         for (int i = 0; i < 2; ++i) {
             acc_frag = __builtin_amdgcn_mfma_f32_16x16x4f32(A.x[i], B.x[i], acc_frag, 0, 0, 0);
@@ -1187,7 +1162,7 @@ namespace ggml_cuda_mma {
 #elif defined(AMD_MFMA_AVAILABLE)
         using floatx4_t = __attribute__((ext_vector_type(4))) float;
         floatx4_t& acc_frag = reinterpret_cast<floatx4_t&>(D.x[0]);
-#if defined(CDNA3) || defined(CDNA2)
+#if defined(CDNA4) || defined(CDNA3) || defined(CDNA2)
         using bf16x4_t = __attribute__((ext_vector_type(4))) __bf16;
         const bf16x4_t& a_frag = reinterpret_cast<const bf16x4_t&>(A.x[0]);
         const bf16x4_t& b_frag = reinterpret_cast<const bf16x4_t&>(B.x[0]);
@@ -1216,74 +1191,28 @@ namespace ggml_cuda_mma {
 #if defined(AMD_MFMA_AVAILABLE)
         using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
         int32x4_t * acc = (int32x4_t *) D.x;
-#if defined(CDNA3)
-        acc[0] = __builtin_amdgcn_mfma_i32_16x16x32_i8(((int64_t *) A.x)[0],
-                                                       ((int64_t *) B.x)[0],
-                                                       acc[0],
-                                                       0, 0, 0);
-#elif defined(CDNA2) || defined(CDNA)
-        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[0],
-                                                      B.x[0],
-                                                      acc[0],
-                                                      0, 0, 0);
-        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[1],
-                                                      B.x[1],
-                                                      acc[0],
-                                                      0, 0, 0);
-#endif // defined(CDNA3)
-
+#if defined(CDNA4) || defined(CDNA3)
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x32_i8(((int64_t *) A.x)[0], ((int64_t *) B.x)[0], acc[0], 0, 0, 0);
+#elif defined(CDNA2) || defined(CDNA1)
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[0], B.x[0], acc[0], 0, 0, 0);
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[1], B.x[1], acc[0], 0, 0, 0);
+#endif // defined(CDNA4) || defined(CDNA3)
 #elif defined(AMD_WMMA_AVAILABLE)
-
         using int32x8_t = __attribute__((__vector_size__(8 * sizeof(int)))) int;
         int32x8_t * acc = (int32x8_t *) D.x;
-
 #if defined(RDNA4)
         using int32x2_t = __attribute__((__vector_size__(2 * sizeof(int)))) int;
         int32x2_t * a_vec = (int32x2_t *) A.x;
         int32x2_t * b_vec = (int32x2_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            true
-        );
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(
-            true,
-            a_vec[1],
-            true,
-            b_vec[1],
-            acc[0],
-            true
-        );
-
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(true, a_vec[0], true, b_vec[0], acc[0], true);
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(true, a_vec[1], true, b_vec[1], acc[0], true);
 #elif defined(RDNA3)
         using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
         int32x4_t * a_vec = (int32x4_t *) A.x;
         int32x4_t * b_vec = (int32x4_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            true
-        );
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
-            true,
-            a_vec[1],
-            true,
-            b_vec[1],
-            acc[0],
-            true
-        );
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(true, a_vec[0], true, b_vec[0], acc[0], true);
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(true, a_vec[1], true, b_vec[1], acc[0], true);
 #endif // RDNA4
-
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
@@ -1295,21 +1224,12 @@ namespace ggml_cuda_mma {
 #if defined(AMD_MFMA_AVAILABLE)
         using int32x16_t = __attribute__((__vector_size__(16 * sizeof(int)))) int;
         int32x16_t * acc = (int32x16_t *) D.x;
-#if defined(CDNA3)
-        acc[0] = __builtin_amdgcn_mfma_i32_32x32x16_i8(((int64_t *) A.x)[0],
-                                                       ((int64_t *) B.x)[0],
-                                                       acc[0],
-                                                       0, 0, 0);
-#elif defined(CDNA2) || defined(CDNA)
-        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[0],
-                                                     B.x[0],
-                                                     acc[0],
-                                                     0, 0, 0);
-        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[1],
-                                                     B.x[1],
-                                                     acc[0],
-                                                     0, 0, 0);
-#endif // defined(CDNA3)
+#if defined(CDNA4) || defined(CDNA3)
+        acc[0] = __builtin_amdgcn_mfma_i32_32x32x16_i8(((int64_t *) A.x)[0], ((int64_t *) B.x)[0], acc[0], 0, 0, 0);
+#elif defined(CDNA2) || defined(CDNA1)
+        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[0], B.x[0], acc[0], 0, 0, 0);
+        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[1], B.x[1], acc[0], 0, 0, 0);
+#endif // defined(CDNA4) || defined(CDNA3)
 
 #else
         GGML_UNUSED_VARS(D, A, B);
@@ -1328,7 +1248,7 @@ namespace ggml_cuda_mma {
 
     static __device__ __forceinline__ void mma(
             tile<32, 8, float> & D, const tile<32, 4, half2> & A, const tile<8, 4, half2, DATA_LAYOUT_I_MAJOR_MIRRORED> & B) {
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         const int * Axi = (const int *) A.x;
         const int * Bxi = (const int *) B.x;
         int       * Dxi = (int       *) D.x;
@@ -1343,12 +1263,12 @@ namespace ggml_cuda_mma {
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     }
 
     static __device__ __forceinline__ void mma(
             tile<32, 4, half2> & D, const tile<32, 4, half2> & A, const tile<8, 4, half2, DATA_LAYOUT_J_MAJOR_MIRRORED> & B) {
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         const int * Axi = (const int *) A.x;
         const int * Bxi = (const int *) B.x;
         int       * Dxi = (int       *) D.x;
@@ -1363,41 +1283,35 @@ namespace ggml_cuda_mma {
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     }
 
     template <data_layout dl_d, data_layout dl_ab>
     static __device__ __forceinline__ void mma(
             tile<16, 16, int, dl_d> & D, const tile<16, 4, int, dl_ab> & A, const tile<16, 4, int, dl_ab> & B) {
-#if defined(AMD_WMMA_AVAILABLE)
+#if defined(AMD_MFMA_AVAILABLE)
+        using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
+        int32x4_t * acc = (int32x4_t *) D.x;
+#if defined(CDNA4) || defined(CDNA3)
+        const int64_t xA = uint32_t(A.x[0]);
+        const int64_t xB = uint32_t(B.x[0]);
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x32_i8(xA, xB, acc[0], 0, 0, 0);
+#elif defined(CDNA2) || defined(CDNA1)
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[0], B.x[0], acc[0], 0, 0, 0);
+#endif // defined(CDNA4) || defined(CDNA3)
+#elif defined(AMD_WMMA_AVAILABLE)
         using int32x8_t = __attribute__((__vector_size__(8 * sizeof(int)))) int;
         int32x8_t * acc = (int32x8_t *) D.x;
 #if defined(RDNA4)
         using int32x2_t = __attribute__((__vector_size__(2 * sizeof(int)))) int;
         int32x2_t * a_vec = (int32x2_t *) A.x;
         int32x2_t * b_vec = (int32x2_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            false
-        );
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(true, a_vec[0], true, b_vec[0], acc[0], false);
 #elif defined(RDNA3)
         using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
         int32x4_t * a_vec = (int32x4_t *) A.x;
         int32x4_t * b_vec = (int32x4_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            false
-        );
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(true, a_vec[0], true, b_vec[0], acc[0], false);
 #endif // RDNA4
 #else
         GGML_UNUSED(D);
diff --git a/ggml/src/ggml-cuda/mmq.cu b/ggml/src/ggml-cuda/mmq.cu
index 9a69f41d1598fb5c8326278348d731e4ccb0975c..3f01ff5bfb0836df1611451738b9e2dfd1be23a9 100644
--- a/ggml/src/ggml-cuda/mmq.cu
+++ b/ggml/src/ggml-cuda/mmq.cu
@@ -5,6 +5,9 @@
 
 static void ggml_cuda_mul_mat_q_switch_type(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) {
     switch (args.type_x) {
+        case GGML_TYPE_Q1_0:
+            mul_mat_q_case<GGML_TYPE_Q1_0>(ctx, args, stream);
+            break;
         case GGML_TYPE_Q4_0:
             mul_mat_q_case<GGML_TYPE_Q4_0>(ctx, args, stream);
             break;
@@ -23,6 +26,9 @@ static void ggml_cuda_mul_mat_q_switch_type(ggml_backend_cuda_context & ctx, con
         case GGML_TYPE_MXFP4:
             mul_mat_q_case<GGML_TYPE_MXFP4>(ctx, args, stream);
             break;
+        case GGML_TYPE_NVFP4:
+            mul_mat_q_case<GGML_TYPE_NVFP4>(ctx, args, stream);
+            break;
         case GGML_TYPE_Q2_K:
             mul_mat_q_case<GGML_TYPE_Q2_K>(ctx, args, stream);
             break;
@@ -267,12 +273,14 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11, int64_t
     bool mmq_supported;
 
     switch (type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
         case GGML_TYPE_Q5_1:
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -362,5 +370,4 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11, int64_t
     }
 
     return (!GGML_CUDA_CC_IS_CDNA(cc)) || ne11 < MMQ_DP4A_MAX_BATCH_SIZE;
-
 }
diff --git a/ggml/src/ggml-cuda/mmq.cuh b/ggml/src/ggml-cuda/mmq.cuh
index 255e59f6fc68729e1ef0fd51fd16a504145fca45..b1a319de9be9d68acd8846aea5781348a6f6181b 100644
--- a/ggml/src/ggml-cuda/mmq.cuh
+++ b/ggml/src/ggml-cuda/mmq.cuh
@@ -57,6 +57,8 @@ static_assert(sizeof(block_fp4_mmq)  == sizeof(block_q8_1_mmq),    "Unexpected b
 
 static mmq_q8_1_ds_layout mmq_get_q8_1_ds_layout(const ggml_type type_x) {
     switch (type_x) {
+        case GGML_TYPE_Q1_0:
+            return MMQ_Q8_1_DS_LAYOUT_D4;
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
             return MMQ_Q8_1_DS_LAYOUT_DS4;
@@ -68,6 +70,8 @@ static mmq_q8_1_ds_layout mmq_get_q8_1_ds_layout(const ggml_type type_x) {
             return MMQ_Q8_1_DS_LAYOUT_D4;
         case GGML_TYPE_MXFP4:
             return MMQ_Q8_1_DS_LAYOUT_D4;
+        case GGML_TYPE_NVFP4:
+            return MMQ_Q8_1_DS_LAYOUT_D4;
         case GGML_TYPE_Q2_K:
             return MMQ_Q8_1_DS_LAYOUT_D2S6;
         case GGML_TYPE_Q3_K:
@@ -100,7 +104,7 @@ struct tile_x_sizes {
 };
 
 static int get_mmq_x_max_host(const int cc) {
-    return (amd_mfma_available(cc) || turing_mma_available(cc) || amd_wmma_available(cc)) ? 128 :
+    return (turing_mma_available(cc) || amd_wmma_available(cc)) ? 128 :
         GGML_CUDA_CC_IS_NVIDIA(cc) && ggml_cuda_highest_compiled_arch(cc) >= GGML_CUDA_CC_VOLTA ?
 #ifdef GGML_CUDA_FORCE_MMQ
             128                     : 64;
@@ -110,9 +114,9 @@ static int get_mmq_x_max_host(const int cc) {
 }
 
 static constexpr __device__ int get_mmq_x_max_device() {
-#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+#if defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     return 128;
-#else // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE)
+#else // defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
 
 #if defined(GGML_USE_HIP)
     return 64;
@@ -183,12 +187,14 @@ static constexpr __device__ int get_mmq_y_device() {
 
 static constexpr __host__ __device__ tile_x_sizes mmq_get_dp4a_tile_x_sizes(ggml_type type, int mmq_y) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return MMQ_DP4A_TXS_Q8_0;
         case GGML_TYPE_Q4_0:    return MMQ_DP4A_TXS_Q4_0;
         case GGML_TYPE_Q4_1:    return MMQ_DP4A_TXS_Q4_1;
         case GGML_TYPE_Q5_0:    return MMQ_DP4A_TXS_Q8_0;
         case GGML_TYPE_Q5_1:    return MMQ_DP4A_TXS_Q8_1;
         case GGML_TYPE_Q8_0:    return MMQ_DP4A_TXS_Q8_0;
         case GGML_TYPE_MXFP4:   return MMQ_DP4A_TXS_Q8_1;
+        case GGML_TYPE_NVFP4:   return MMQ_DP4A_TXS_Q8_0_16;
         case GGML_TYPE_Q2_K:    return MMQ_DP4A_TXS_Q2_K;
         case GGML_TYPE_Q3_K:    return MMQ_DP4A_TXS_Q3_K;
         case GGML_TYPE_Q4_K:    return MMQ_DP4A_TXS_Q4_K;
@@ -206,12 +212,13 @@ static constexpr __host__ __device__ tile_x_sizes mmq_get_dp4a_tile_x_sizes(ggml
     }
 }
 
-#define MMQ_MMA_TILE_X_K_Q8_0 (2*MMQ_TILE_NE_K + 2*MMQ_TILE_NE_K/QI8_0                   + 4)
-#define MMQ_MMA_TILE_X_K_FP4  (2*MMQ_TILE_NE_K + 8                                       + 4)
-#define MMQ_MMA_TILE_X_K_Q8_1 (2*MMQ_TILE_NE_K + 2*MMQ_TILE_NE_K/QI8_0                   + 4)
-#define MMQ_MMA_TILE_X_K_Q2_K (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K                           + 4)
-#define MMQ_MMA_TILE_X_K_Q3_K (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/2                         + 4)
-#define MMQ_MMA_TILE_X_K_Q6_K (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/QI6_K   + MMQ_TILE_NE_K/8 + 7)
+#define MMQ_MMA_TILE_X_K_Q8_0  (2*MMQ_TILE_NE_K + 2*MMQ_TILE_NE_K/QI8_0                   + 4)
+#define MMQ_MMA_TILE_X_K_FP4   (2*MMQ_TILE_NE_K + 8                                       + 4) // MXFP4
+#define MMQ_MMA_TILE_X_K_NVFP4 (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/2                         + 4) // NVFP4
+#define MMQ_MMA_TILE_X_K_Q8_1  (2*MMQ_TILE_NE_K + 2*MMQ_TILE_NE_K/QI8_0                   + 4)
+#define MMQ_MMA_TILE_X_K_Q2_K  (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K                           + 4)
+#define MMQ_MMA_TILE_X_K_Q3_K  (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/2                         + 4)
+#define MMQ_MMA_TILE_X_K_Q6_K  (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/QI6_K   + MMQ_TILE_NE_K/8 + 7)
 
 static_assert(MMQ_MMA_TILE_X_K_Q8_0 % 8 == 4, "Wrong padding.");
 static_assert(MMQ_MMA_TILE_X_K_Q8_1 % 8 == 4, "Wrong padding.");
@@ -220,9 +227,12 @@ static_assert(MMQ_MMA_TILE_X_K_Q3_K % 8 == 4, "Wrong padding.");
 static_assert(MMQ_MMA_TILE_X_K_Q6_K % 8 == 4, "Wrong padding.");
 static_assert(MMQ_MMA_TILE_X_K_FP4  % 8 == 4, "Wrong padding.");
 static_assert(MMQ_MMA_TILE_X_K_FP4 == MMQ_MMA_TILE_X_K_Q8_1, "Wrong tile size for MXFP4");
+static_assert(MMQ_MMA_TILE_X_K_NVFP4 % 8 == 4, "Wrong padding.");
+
 
 static constexpr __host__ __device__ int mmq_get_mma_tile_x_k(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return MMQ_MMA_TILE_X_K_Q8_0;
         case GGML_TYPE_Q4_0:    return MMQ_MMA_TILE_X_K_Q8_0;
         case GGML_TYPE_Q4_1:    return MMQ_MMA_TILE_X_K_Q8_1;
         case GGML_TYPE_Q5_0:    return MMQ_MMA_TILE_X_K_Q8_0;
@@ -230,6 +240,7 @@ static constexpr __host__ __device__ int mmq_get_mma_tile_x_k(ggml_type type) {
         case GGML_TYPE_Q8_0:    return MMQ_MMA_TILE_X_K_Q8_0;
         // tile sizes are the same for Q8_1 and FP4 for blackwell
         case GGML_TYPE_MXFP4:   return MMQ_MMA_TILE_X_K_Q8_1;
+        case GGML_TYPE_NVFP4:   return MMQ_MMA_TILE_X_K_NVFP4;
         case GGML_TYPE_Q2_K:    return MMQ_MMA_TILE_X_K_Q2_K;
         case GGML_TYPE_Q3_K:    return MMQ_MMA_TILE_X_K_Q3_K;
         case GGML_TYPE_Q4_K:    return MMQ_MMA_TILE_X_K_Q8_1;
@@ -295,6 +306,87 @@ static constexpr __device__ int mmq_get_nwarps_device() {
 
 // ------------------------------------------------------------
 
+template <int mmq_y, bool need_check> static __device__ __forceinline__ void load_tiles_q1_0(
+    const char * __restrict__ x, int * __restrict__ x_tile, const int kbx0, const int i_max, const int stride) {
+    constexpr int nwarps = mmq_get_nwarps_device();
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
+
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+    int   * x_qs = (int   *)  x_tile;
+    float * x_df = (float *) (x_qs + 2*MMQ_TILE_NE_K);
+#else
+    constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q8_0, mmq_y);
+    int   * x_qs = (int   *)  x_tile;
+    float * x_df = (float *) (x_qs + txs.qs);
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+
+    constexpr int blocks_per_iter = MMQ_ITER_K / QK1_0;
+    constexpr int threads_per_row = blocks_per_iter * QI1_0;
+    constexpr int nrows = warp_size / threads_per_row;
+    constexpr int scale_entries_per_block = QK1_0 / QK8_1;
+    constexpr int scale_entries_per_row = blocks_per_iter * scale_entries_per_block;
+
+    const int txi  = threadIdx.x % threads_per_row;
+    const int kbx  = txi / QI1_0;
+    const int kqsx = txi % QI1_0;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nrows*nwarps) {
+        int i = i0 + threadIdx.y*nrows + threadIdx.x/threads_per_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q1_0 * bxi = (const block_q1_0 *) x + kbx0 + i*stride + kbx;
+        const int qs_offset = 4*kqsx;
+        const int qs0 = bxi->qs[qs_offset + 0] | (bxi->qs[qs_offset + 1] << 8) |
+                        (bxi->qs[qs_offset + 2] << 16) | (bxi->qs[qs_offset + 3] << 24);
+
+        int unpacked_bytes[8];
+#pragma unroll
+        for (int j = 0; j < 8; ++j) {
+            const int shift = j * 4;
+            const int bits4 = (qs0 >> shift) & 0x0F;
+            const int b0 = (bits4 & 0x01) ? 1 : -1;
+            const int b1 = (bits4 & 0x02) ? 1 : -1;
+            const int b2 = (bits4 & 0x04) ? 1 : -1;
+            const int b3 = (bits4 & 0x08) ? 1 : -1;
+            unpacked_bytes[j] = (b0 & 0xFF) | ((b1 & 0xFF) << 8) | ((b2 & 0xFF) << 16) | ((b3 & 0xFF) << 24);
+        }
+
+        const int dst_offset = kbx*(scale_entries_per_block*QI8_0) + kqsx*QI8_0;
+#pragma unroll
+        for (int j = 0; j < 8; ++j) {
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+            x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + dst_offset + j] = unpacked_bytes[j];
+#else
+            x_qs[i*(2*MMQ_TILE_NE_K + 1) + dst_offset + j] = unpacked_bytes[j];
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        }
+    }
+
+    const int ksx = threadIdx.x % scale_entries_per_row;
+    const int scale_block = ksx / scale_entries_per_block;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q1_0 * bxi = (const block_q1_0 *) x + kbx0 + i*stride + scale_block;
+
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + ksx] = bxi->d;
+#else
+        x_df[i*(2*MMQ_TILE_NE_K/QI8_0) + i/(QI8_0/2) + ksx] = bxi->d;
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+    }
+}
+
 template <int mmq_y, bool need_check> static __device__ __forceinline__ void load_tiles_q4_0(
     const char * __restrict__ x, int * __restrict__ x_tile, const int kbx0, const int i_max, const int stride) {
     constexpr int nwarps = mmq_get_nwarps_device();
@@ -379,17 +471,25 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a(
 #pragma unroll
             for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
                 const int i = i0 + threadIdx.x;
-
                 const int kyqs = QI8_1 * ((k01/2) / (QI8_1/2)) + (k01/2) % (QI8_1/2);
 
                 int u[2*VDR_Q4_0_Q8_1_MMQ];
 
-#pragma unroll
-                for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
-                    u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + kyqs +  l];
-                    u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + kyqs + (l + QI4_0)];
+                constexpr int max_cpy = ggml_cuda_get_max_cpy_bytes();
+                constexpr int mcpy_int = max_cpy / sizeof(int);
+                static_assert(VDR_Q4_0_Q8_1_MMQ == 4, "bad VDR_Q4_0_Q8_1_MMQ");
+
+                int tmp0[4], tmp1[4];
+
+                #pragma unroll
+                for (int l0 = 0; l0 < 4 / mcpy_int; ++l0) {
+                    ggml_cuda_memcpy_1<max_cpy>(tmp0 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + l0 * mcpy_int]  );
+                    ggml_cuda_memcpy_1<max_cpy>(tmp1 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + QI4_0 + l0 * mcpy_int]);
                 }
 
+                u[0]=tmp0[0]; u[2]=tmp0[1]; u[4]=tmp0[2]; u[6]=tmp0[3];
+                u[1]=tmp1[0]; u[3]=tmp1[1]; u[5]=tmp1[2]; u[7]=tmp1[3];
+
                 sum[j0/nwarps*mmq_y/warp_size + i0/warp_size] += vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
                     (&x_qs[i*(MMQ_TILE_NE_K + 1) + k0/QR4_0], u,
                      x_df[i*(MMQ_TILE_NE_K/QI4_0) + i/QI4_0 + k0/(QR4_0*QI4_0)], y_ds[j*MMQ_TILE_Y_K + k01/QI8_1]);
@@ -482,17 +582,25 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a(
 #pragma unroll
             for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
                 const int i = i0 + threadIdx.x;
-
                 const int kyqs = QI8_1 * ((k01/2) / (QI8_1/2)) + (k01/2) % (QI8_1/2);
 
                 int u[2*VDR_Q4_1_Q8_1_MMQ];
 
-#pragma unroll
-                for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
-                    u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + kyqs +  l];
-                    u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + kyqs + (l + QI4_1)];
+                constexpr int max_cpy = ggml_cuda_get_max_cpy_bytes();
+                constexpr int mcpy_int = max_cpy / sizeof(int);
+                static_assert(VDR_Q4_0_Q8_1_MMQ == 4, "bad VDR_Q4_0_Q8_1_MMQ");
+
+                int tmp0[4], tmp1[4];
+
+                #pragma unroll
+                for (int l0 = 0; l0 < 4 / mcpy_int; ++l0) {
+                    ggml_cuda_memcpy_1<max_cpy>(tmp0 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + l0 * mcpy_int]  );
+                    ggml_cuda_memcpy_1<max_cpy>(tmp1 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + QI4_1 + l0 * mcpy_int]);
                 }
 
+                u[0]=tmp0[0]; u[2]=tmp0[1]; u[4]=tmp0[2]; u[6]=tmp0[3];
+                u[1]=tmp1[0]; u[3]=tmp1[1]; u[5]=tmp1[2]; u[7]=tmp1[3];
+
                 sum[j0/nwarps*mmq_y/warp_size + i0/warp_size] += vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
                     (&x_qs[i*(MMQ_TILE_NE_K + 1) + k0/QR4_1], u,
                      x_dm[i*(MMQ_TILE_NE_K/QI4_1) + i/QI4_1 + k0/(QR4_1*QI4_1)], y_ds[j*MMQ_TILE_Y_K + k01/QI8_1]);
@@ -826,6 +934,65 @@ static __device__ __forceinline__ void load_tiles_mxfp4_fp4(const char * __restr
     }
 }
 
+
+template <int mmq_y, bool need_check>
+static __device__ __forceinline__ void load_tiles_nvfp4(const char * __restrict__ x,
+                                                        int * __restrict__ x_tile,
+                                                        const int kb0,
+                                                        const int i_max,
+                                                        const int stride) {
+    constexpr int nwarps = mmq_get_nwarps_device();
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
+
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+    int   * x_qs = (int   *) x_tile;
+    float * x_df = (float *) (x_qs + MMQ_TILE_NE_K*2);
+#else
+    constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_NVFP4, mmq_y);
+    int   * x_qs = (int   *) x_tile;
+    float * x_df = (float *) (x_qs + txs.qs);
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+
+    constexpr int threads_per_row = MMQ_ITER_K / QK_NVFP4;
+    constexpr int rows_per_warp = warp_size / threads_per_row;
+    const int kbx = threadIdx.x % threads_per_row;
+    const int row_in_warp = threadIdx.x / threads_per_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += rows_per_warp * nwarps) {
+        int i = i0 + threadIdx.y * rows_per_warp + row_in_warp;
+
+        if constexpr (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_nvfp4 * bxi = (const block_nvfp4 *) x + kb0 + i * stride + kbx;
+        const uint32_t * __restrict__ src_qs = reinterpret_cast<const uint32_t *>(bxi->qs);
+        const int kqs = 16 * kbx;
+        const int ksc = 4 * kbx;
+
+#pragma unroll
+        for (int sub = 0; sub < QK_NVFP4 / QK_NVFP4_SUB; ++sub) {
+            const int2 q0 = get_int_from_table_16(src_qs[2 * sub + 0], kvalues_mxfp4);
+            const int2 q1 = get_int_from_table_16(src_qs[2 * sub + 1], kvalues_mxfp4);
+
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+            x_qs[i * MMQ_MMA_TILE_X_K_NVFP4 + kqs + 4 * sub + 0] = q0.x;
+            x_qs[i * MMQ_MMA_TILE_X_K_NVFP4 + kqs + 4 * sub + 1] = q1.x;
+            x_qs[i * MMQ_MMA_TILE_X_K_NVFP4 + kqs + 4 * sub + 2] = q0.y;
+            x_qs[i * MMQ_MMA_TILE_X_K_NVFP4 + kqs + 4 * sub + 3] = q1.y;
+            x_df[i * MMQ_MMA_TILE_X_K_NVFP4 + ksc + sub] = ggml_cuda_ue4m3_to_fp32(bxi->d[sub]);
+#else
+            x_qs[i * (2 * MMQ_TILE_NE_K + 1) + kqs + 4 * sub + 0] = q0.x;
+            x_qs[i * (2 * MMQ_TILE_NE_K + 1) + kqs + 4 * sub + 1] = q1.x;
+            x_qs[i * (2 * MMQ_TILE_NE_K + 1) + kqs + 4 * sub + 2] = q0.y;
+            x_qs[i * (2 * MMQ_TILE_NE_K + 1) + kqs + 4 * sub + 3] = q1.y;
+            x_df[i * (2 * MMQ_TILE_NE_K * 2 / QI_NVFP4) + i / (QK_NVFP4_SUB / QI_NVFP4) + ksc + sub] = ggml_cuda_ue4m3_to_fp32(bxi->d[sub]);
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        }
+    }
+}
+
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q8_0_q8_1_dp4a(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
@@ -887,13 +1054,13 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_0 + k0, MMQ_MMA_TILE_X_K_Q8_0);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_0 + k0, MMQ_MMA_TILE_X_K_Q8_0);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             float dB;
             const int j = j0 + tile_C::get_j(0);
@@ -1128,13 +1295,13 @@ static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_1 + k0, MMQ_MMA_TILE_X_K_Q8_1);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_1 + k0, MMQ_MMA_TILE_X_K_Q8_1);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float2 dsB = __half22float2(y_dm[j*MMQ_TILE_Y_K + k01/QI8_1]);
@@ -1229,7 +1396,7 @@ static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma(
 #endif // defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
 }
 
-// Used for Q3_K, IQ2_S, and IQ2_XS
+// Used for NVFP4, Q3_K, IQ2_S, and IQ2_XS
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_dp4a(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
@@ -1268,57 +1435,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_dp4a(
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
-#if defined(AMD_MFMA_AVAILABLE)
-    constexpr data_layout input_layout = get_input_data_layout();
-    typedef tile<16,  8, int, input_layout>        tile_A;
-    typedef tile<16,  8, int, input_layout>        tile_B;
-    typedef tile<16, 16, int, DATA_LAYOUT_J_MAJOR> tile_C;
-    typedef tile<64,  2, int, input_layout>        tile_load;
-
-    constexpr int granularity = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = granularity;
-    constexpr int ntx = rows_per_warp/tile_C::I; // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J*MMQ_TILE_Y_K);
-
-    const int   * x_qs = (const int   *) x;
-    const float * x_df = (const float *) x_qs + MMQ_TILE_NE_K*2;
-    const int   * y_qs = (const int   *) y + 4;
-    const float * y_df = (const float *) y;
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-    for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 4) {
-        const int k0 = k00 + k01;
-
-        tile_A A[ntx];
-#pragma unroll
-        for (int n = 0; n < ntx; ++n) {
-            load_generic(((tile_load *) A)[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K);
-        }
-
-#pragma unroll
-        for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
-            tile_B B[1];
-            load_generic(((tile_load *) B)[0], y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
-
-            const int j = j0 + tile_C::get_j(0);
-            const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1] / 2;
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C C;
-                mma(C, A[n], B[0]);
-
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    const int i = i0 + n*tile_C::I + tile_C::get_i(l);
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] += C.x[l] * x_df[i*MMQ_MMA_TILE_X_K_Q3_K + k0/4] * dB;
-                }
-            }
-        }
-    }
-#elif defined(AMD_WMMA_AVAILABLE) //wmma instructions can handle 16x4 tiles, does not require loading 64x2 tiles
+#if defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     constexpr data_layout input_layout = get_input_data_layout();
     typedef tile<16,  4, int, input_layout>        tile_A;
     typedef tile<16,  4, int, input_layout>        tile_B;
@@ -1343,13 +1460,13 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1];
@@ -1575,74 +1692,7 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_dp4a(
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
-#if defined(AMD_MFMA_AVAILABLE)
-    constexpr data_layout input_layout = get_input_data_layout();
-    typedef tile<16,  8, int, input_layout>        tile_A;
-    typedef tile<16,  8, int, input_layout>        tile_B;
-    typedef tile<16, 16, int, DATA_LAYOUT_J_MAJOR> tile_C;
-    typedef tile<64,  2, int, input_layout>        tile_load;
-
-    constexpr int granularity = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = granularity;
-    constexpr int ntx = rows_per_warp/tile_C::I; // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J*MMQ_TILE_Y_K);
-
-    const int   * x_qs = (const int   *) x;
-    const half2 * x_dm = (const half2 *) x_qs + MMQ_TILE_NE_K*2;
-    const int   * y_qs = (const int   *) y + 4;
-    const half2 * y_ds = (const half2 *) y;
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-    for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 4) {
-        const int k0 = k00 + k01;
-
-        tile_A A[ntx];
-#pragma unroll
-        for (int n = 0; n < ntx; ++n) {
-            load_generic(((tile_load *) A)[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K);
-        }
-
-#pragma unroll
-        for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
-            tile_B B[1];
-            load_generic(((tile_load *) B)[0], y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
-
-            const int j = j0 + tile_C::get_j(0);
-            const float dB = (k01 < MMQ_TILE_NE_K/2) ? __half22float2(y_ds[j*MMQ_TILE_Y_K]).x/2 : __half22float2(y_ds[j*MMQ_TILE_Y_K]).y/2;
-            const float sB = (k01 >= MMQ_TILE_NE_K * 3/4) ? 0
-                                              : (((k01/4)%2) ? __half22float2(y_ds[j*MMQ_TILE_Y_K + (1 + k01/QI8_1)]).y
-                                                             : __half22float2(y_ds[j*MMQ_TILE_Y_K + (1 + k01/QI8_1)]).x);
-
-            tile_C Cm;
-            if (k01 >= MMQ_TILE_NE_K * 3/4) {
-                tile_A A1;
-                A1.x[0] = 0x01010101;
-                A1.x[1] = 0x01010101;
-                mma(Cm, A1, B[0]);
-            }
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C Cd;
-                mma(Cd, A[n], B[0]);
-
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    const int i = i0 + n*tile_C::I + tile_C::get_i(l);
-                    const float2 dm = __half22float2(x_dm[i*MMQ_MMA_TILE_X_K_Q2_K + k0/4]);
-                    float tmp = Cd.x[l]*dm.x;
-                    if (k01 >= MMQ_TILE_NE_K * 3/4) {
-                        tmp -= Cm.x[l]*dm.y;
-                    }
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] += tmp*dB;
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] -= dm.y*sB;
-                }
-            }
-        }
-    }
-#elif defined(AMD_WMMA_AVAILABLE) //wmma instructions can handle 16x4 tiles, does not require loading 64x2 tiles
+#if defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     constexpr data_layout input_layout = get_input_data_layout();
     typedef tile<16,  4, int, input_layout>        tile_A;
     typedef tile<16,  4, int, input_layout>        tile_B;
@@ -1667,13 +1717,13 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float dB = (k01 < MMQ_TILE_NE_K/2) ? __half22float2(y_ds[j*MMQ_TILE_Y_K]).x : __half22float2(y_ds[j*MMQ_TILE_Y_K]).y;
@@ -2406,59 +2456,7 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a(
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
-#if defined(AMD_MFMA_AVAILABLE)
-    constexpr data_layout input_layout = get_input_data_layout();
-    typedef tile<16,  8, int, input_layout>        tile_A;
-    typedef tile<16,  8, int, input_layout>        tile_B;
-    typedef tile<16, 16, int, DATA_LAYOUT_J_MAJOR> tile_C;
-    typedef tile<64,  2, int, input_layout>        tile_load;
-
-    constexpr int granularity = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = granularity;
-    constexpr int ntx = rows_per_warp/tile_C::I; // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J*MMQ_TILE_Y_K);
-
-    const int   * x_qs = (const int   *) x;
-    const float * x_df = (const float *) x_qs + MMQ_TILE_NE_K*2;
-    const int   * x_sc = (const int   *) x_df + MMQ_TILE_NE_K/QI6_K;
-    const int   * y_qs = (const int   *) y + 4;
-    const float * y_df = (const float *) y;
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-    for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 4) {
-        const int k0 = k00 + k01;
-
-        tile_A A[ntx];
-#pragma unroll
-        for (int n = 0; n < ntx; ++n) {
-            load_generic(((tile_load *) A)[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q6_K + k0, MMQ_MMA_TILE_X_K_Q6_K);
-        }
-
-#pragma unroll
-        for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
-            tile_B B[1];
-            load_generic(((tile_load *) B)[0], y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
-
-            const int j = j0 + tile_C::get_j(0);
-            const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1] / 2;
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C C;
-                mma(C, A[n], B[0]);
-
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    const int i = i0 + n*tile_C::I + tile_C::get_i(l);
-                    const int8_t * sc = (const int8_t *) (x_sc + i*MMQ_MMA_TILE_X_K_Q6_K + k00/16);
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] += C.x[l] * sc[k01/4] * x_df[i*MMQ_MMA_TILE_X_K_Q6_K] * dB;
-                }
-            }
-        }
-    }
-#elif defined(AMD_WMMA_AVAILABLE) //wmma instructions can handle 16x4 tiles, does not require loading 64x2 tiles
+#if defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     constexpr data_layout input_layout = get_input_data_layout();
     typedef tile<16,  4, int, input_layout>        tile_A;
     typedef tile<16,  4, int, input_layout>        tile_B;
@@ -2484,13 +2482,13 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q6_K + k0, MMQ_MMA_TILE_X_K_Q6_K);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q6_K + k0, MMQ_MMA_TILE_X_K_Q6_K);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1];
@@ -3208,6 +3206,14 @@ static __device__ __forceinline__ void mmq_write_back_mma(
 template <int mmq_x, int mmq_y, bool need_check, ggml_type type>
 struct mmq_type_traits;
 
+template <int mmq_x, int mmq_y, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_Q1_0> {
+    static constexpr int              vdr          = VDR_Q1_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q1_0<mmq_y, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q8_0_q8_1_mma<mmq_x, mmq_y, MMQ_Q8_1_DS_LAYOUT_D4>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q8_0_q8_1_dp4a<mmq_x, mmq_y>;
+};
+
 template <int mmq_x, int mmq_y, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_Q4_0> {
     static constexpr int              vdr          = VDR_Q4_0_Q8_1_MMQ;
@@ -3261,6 +3267,14 @@ struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_MXFP4> {
     static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q8_0_q8_1_dp4a<mmq_x, mmq_y>;
 };
 
+template <int mmq_x, int mmq_y, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_NVFP4> {
+    static constexpr int              vdr          = VDR_NVFP4_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_nvfp4<mmq_y, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q8_0_16_q8_1_mma<mmq_x, mmq_y>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q8_0_16_q8_1_dp4a<mmq_x, mmq_y>;
+};
+
 template <int mmq_x, int mmq_y, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_Q2_K> {
     static constexpr int              vdr          = VDR_Q2_K_Q8_1_MMQ;
@@ -3555,7 +3569,7 @@ static __global__ void mul_mat_q(
              tile_x_max_i, tile_y_max_j, 0, ncols_x/qk);
         return;
     }
-#endif // (defined(GGML_USE_HIP) && !defined(CDNA3)) || __CUDA_ARCH__ < GGML_CUDA_CC_VOLTA
+#endif // (defined(GGML_USE_HIP) && !defined(CDNA4) && !defined(CDNA3)) || __CUDA_ARCH__ < GGML_CUDA_CC_VOLTA
 
     constexpr int ITER_K = get_iter_k(type);
 
@@ -4069,6 +4083,7 @@ extern DECL_MMQ_CASE(GGML_TYPE_Q5_0);
 extern DECL_MMQ_CASE(GGML_TYPE_Q5_1);
 extern DECL_MMQ_CASE(GGML_TYPE_Q8_0);
 extern DECL_MMQ_CASE(GGML_TYPE_MXFP4);
+extern DECL_MMQ_CASE(GGML_TYPE_NVFP4);
 extern DECL_MMQ_CASE(GGML_TYPE_Q2_K);
 extern DECL_MMQ_CASE(GGML_TYPE_Q3_K);
 extern DECL_MMQ_CASE(GGML_TYPE_Q4_K);
@@ -4095,3 +4110,4 @@ void ggml_cuda_op_mul_mat_q(
     const int64_t src1_padded_row_size, cudaStream_t stream);
 
 bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11, int64_t n_experts);
+
diff --git a/ggml/src/ggml-cuda/mmvq.cu b/ggml/src/ggml-cuda/mmvq.cu
index 632246e43fd9fb62488a19a792ae708348b5cb46..8f55cace1a1eeb424c62b27e4ffebfcbb430c0bc 100644
--- a/ggml/src/ggml-cuda/mmvq.cu
+++ b/ggml/src/ggml-cuda/mmvq.cu
@@ -9,12 +9,14 @@ typedef float (*vec_dot_q_cuda_t)(const void * __restrict__ vbq, const block_q8_
 
 static constexpr __device__ vec_dot_q_cuda_t get_vec_dot_q_cuda(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return vec_dot_q1_0_q8_1;
         case GGML_TYPE_Q4_0:    return vec_dot_q4_0_q8_1;
         case GGML_TYPE_Q4_1:    return vec_dot_q4_1_q8_1;
         case GGML_TYPE_Q5_0:    return vec_dot_q5_0_q8_1;
         case GGML_TYPE_Q5_1:    return vec_dot_q5_1_q8_1;
         case GGML_TYPE_Q8_0:    return vec_dot_q8_0_q8_1;
         case GGML_TYPE_MXFP4:   return vec_dot_mxfp4_q8_1;
+        case GGML_TYPE_NVFP4:   return vec_dot_nvfp4_q8_1;
         case GGML_TYPE_Q2_K:    return vec_dot_q2_K_q8_1;
         case GGML_TYPE_Q3_K:    return vec_dot_q3_K_q8_1;
         case GGML_TYPE_Q4_K:    return vec_dot_q4_K_q8_1;
@@ -33,14 +35,16 @@ static constexpr __device__ vec_dot_q_cuda_t get_vec_dot_q_cuda(ggml_type type)
     }
 }
 
-static constexpr __device__ int get_vdr_mmvq(ggml_type type) {
+static constexpr __host__ __device__ int get_vdr_mmvq(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return VDR_Q1_0_Q8_1_MMVQ;
         case GGML_TYPE_Q4_0:    return VDR_Q4_0_Q8_1_MMVQ;
         case GGML_TYPE_Q4_1:    return VDR_Q4_1_Q8_1_MMVQ;
         case GGML_TYPE_Q5_0:    return VDR_Q5_0_Q8_1_MMVQ;
         case GGML_TYPE_Q5_1:    return VDR_Q5_1_Q8_1_MMVQ;
         case GGML_TYPE_Q8_0:    return VDR_Q8_0_Q8_1_MMVQ;
         case GGML_TYPE_MXFP4:   return VDR_MXFP4_Q8_1_MMVQ;
+        case GGML_TYPE_NVFP4:   return VDR_NVFP4_Q8_1_MMVQ;
         case GGML_TYPE_Q2_K:    return VDR_Q2_K_Q8_1_MMVQ;
         case GGML_TYPE_Q3_K:    return VDR_Q3_K_Q8_1_MMVQ;
         case GGML_TYPE_Q4_K:    return VDR_Q4_K_Q8_1_MMVQ;
@@ -95,6 +99,197 @@ static __host__ mmvq_parameter_table_id get_device_table_id(int cc) {
     return MMVQ_PARAMETERS_GENERIC;
 }
 
+// Per-architecture maximum batch size for which MMVQ should be used for MUL_MAT_ID.
+// Returns a value <= MMVQ_MAX_BATCH_SIZE. Default is MMVQ_MAX_BATCH_SIZE.
+// Check https://github.com/ggml-org/llama.cpp/pull/20905#issuecomment-4145835627 for details
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_pascal_older(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ1_S:   return 6;
+        case GGML_TYPE_IQ1_M:   return 6;
+        case GGML_TYPE_IQ2_S:   return 4;
+        case GGML_TYPE_IQ2_XS:  return 5;
+        case GGML_TYPE_IQ2_XXS: return 5;
+        case GGML_TYPE_IQ3_S:   return 4;
+        case GGML_TYPE_IQ3_XXS: return 4;
+        case GGML_TYPE_IQ4_NL:  return 6;
+        case GGML_TYPE_IQ4_XS:  return 5;
+        case GGML_TYPE_MXFP4:   return 4;
+        case GGML_TYPE_Q2_K:    return 4;
+        case GGML_TYPE_Q3_K:    return 4;
+        case GGML_TYPE_Q4_0:    return 6;
+        case GGML_TYPE_Q4_1:    return 6;
+        case GGML_TYPE_Q4_K:    return 5;
+        case GGML_TYPE_Q5_0:    return 6;
+        case GGML_TYPE_Q5_1:    return 6;
+        case GGML_TYPE_Q5_K:    return 5;
+        case GGML_TYPE_Q6_K:    return 4;
+        case GGML_TYPE_Q8_0:    return 4;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_turing_plus(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ2_S:   return 7;
+        case GGML_TYPE_IQ3_S:   return 6;
+        case GGML_TYPE_IQ3_XXS: return 7;
+        case GGML_TYPE_MXFP4:   return 7;
+        case GGML_TYPE_Q2_K:    return 7;
+        case GGML_TYPE_Q3_K:    return 5;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_gcn(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ1_S:   return 5;
+        case GGML_TYPE_IQ1_M:   return 5;
+        case GGML_TYPE_IQ2_S:   return 4;
+        case GGML_TYPE_IQ2_XS:  return 4;
+        case GGML_TYPE_IQ2_XXS: return 4;
+        case GGML_TYPE_IQ3_S:   return 4;
+        case GGML_TYPE_IQ3_XXS: return 4;
+        case GGML_TYPE_IQ4_NL:  return 6;
+        case GGML_TYPE_IQ4_XS:  return 4;
+        case GGML_TYPE_Q2_K:    return 4;
+        case GGML_TYPE_Q3_K:    return 4;
+        case GGML_TYPE_Q4_0:    return 5;
+        case GGML_TYPE_Q4_1:    return 5;
+        case GGML_TYPE_Q4_K:    return 4;
+        case GGML_TYPE_Q5_K:    return 4;
+        case GGML_TYPE_Q6_K:    return 4;
+        case GGML_TYPE_Q8_0:    return 4;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_cdna(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ2_S:   return 5;
+        case GGML_TYPE_IQ2_XS:  return 5;
+        case GGML_TYPE_IQ2_XXS: return 5;
+        case GGML_TYPE_IQ3_S:   return 4;
+        case GGML_TYPE_IQ3_XXS: return 5;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_rdna1_rdna2(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ2_S:   return 4;
+        case GGML_TYPE_IQ2_XS:  return 4;
+        case GGML_TYPE_IQ2_XXS: return 4;
+        case GGML_TYPE_IQ3_S:   return 4;
+        case GGML_TYPE_IQ3_XXS: return 4;
+        case GGML_TYPE_Q2_K:    return 7;
+        case GGML_TYPE_Q3_K:    return 4;
+        case GGML_TYPE_Q4_K:    return 5;
+        case GGML_TYPE_Q5_K:    return 6;
+        case GGML_TYPE_Q6_K:    return 5;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_rdna3(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ1_S:   return 6;
+        case GGML_TYPE_IQ1_M:   return 6;
+        case GGML_TYPE_IQ2_S:   return 4;
+        case GGML_TYPE_IQ2_XS:  return 4;
+        case GGML_TYPE_IQ2_XXS: return 4;
+        case GGML_TYPE_IQ3_S:   return 4;
+        case GGML_TYPE_IQ3_XXS: return 4;
+        case GGML_TYPE_IQ4_NL:  return 6;
+        case GGML_TYPE_IQ4_XS:  return 6;
+        case GGML_TYPE_Q4_K:    return 4;
+        case GGML_TYPE_Q5_K:    return 4;
+        case GGML_TYPE_Q6_K:    return 4;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_rdna4(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_IQ1_S:   return 7;
+        case GGML_TYPE_IQ1_M:   return 7;
+        case GGML_TYPE_IQ2_S:   return 4;
+        case GGML_TYPE_IQ2_XS:  return 4;
+        case GGML_TYPE_IQ2_XXS: return 4;
+        case GGML_TYPE_IQ3_S:   return 4;
+        case GGML_TYPE_IQ3_XXS: return 4;
+        case GGML_TYPE_IQ4_NL:  return 7;
+        case GGML_TYPE_IQ4_XS:  return 5;
+        case GGML_TYPE_MXFP4:   return 5;
+        case GGML_TYPE_Q3_K:    return 4;
+        case GGML_TYPE_Q4_0:    return 7;
+        case GGML_TYPE_Q4_1:    return 7;
+        case GGML_TYPE_Q4_K:    return 4;
+        case GGML_TYPE_Q5_0:    return 7;
+        case GGML_TYPE_Q5_1:    return 7;
+        case GGML_TYPE_Q5_K:    return 5;
+        case GGML_TYPE_Q6_K:    return 5;
+        case GGML_TYPE_Q8_0:    return 7;
+        default:                return MMVQ_MAX_BATCH_SIZE;
+    }
+}
+
+// Host function: returns the max batch size for the current arch+type at runtime.
+int get_mmvq_mmid_max_batch(ggml_type type, int cc) {
+    // NVIDIA: Volta, Ada Lovelace, and Blackwell always use MMVQ for MUL_MAT_ID.
+    if (GGML_CUDA_CC_IS_NVIDIA(cc)) {
+        if (cc == GGML_CUDA_CC_VOLTA || cc >= GGML_CUDA_CC_ADA_LOVELACE) {
+            return MMVQ_MAX_BATCH_SIZE;
+        }
+        if (cc >= GGML_CUDA_CC_TURING) {
+            return get_mmvq_mmid_max_batch_turing_plus(type);
+        }
+        return get_mmvq_mmid_max_batch_pascal_older(type);
+    }
+
+    // AMD
+    if (GGML_CUDA_CC_IS_AMD(cc)) {
+        if (GGML_CUDA_CC_IS_RDNA4(cc)) {
+            return get_mmvq_mmid_max_batch_rdna4(type);
+        }
+        if (GGML_CUDA_CC_IS_RDNA3(cc)) {
+            return get_mmvq_mmid_max_batch_rdna3(type);
+        }
+        if (GGML_CUDA_CC_IS_RDNA1(cc) || GGML_CUDA_CC_IS_RDNA2(cc)) {
+            return get_mmvq_mmid_max_batch_rdna1_rdna2(type);
+        }
+        if (GGML_CUDA_CC_IS_CDNA(cc)) {
+            return get_mmvq_mmid_max_batch_cdna(type);
+        }
+        if (GGML_CUDA_CC_IS_GCN(cc)) {
+            return get_mmvq_mmid_max_batch_gcn(type);
+        }
+    }
+    return MMVQ_MAX_BATCH_SIZE;
+}
+
+// Device constexpr: returns the max batch size for the current arch+type at compile time.
+template <ggml_type type>
+static constexpr __device__ int get_mmvq_mmid_max_batch_for_device() {
+#if defined(RDNA4)
+    return get_mmvq_mmid_max_batch_rdna4(type);
+#elif defined(RDNA3)
+    return get_mmvq_mmid_max_batch_rdna3(type);
+#elif defined(RDNA2) || defined(RDNA1)
+    return get_mmvq_mmid_max_batch_rdna1_rdna2(type);
+#elif defined(CDNA)
+    return get_mmvq_mmid_max_batch_cdna(type);
+#elif defined(GCN)
+    return get_mmvq_mmid_max_batch_gcn(type);
+#elif defined(__CUDA_ARCH__) && (__CUDA_ARCH__ == GGML_CUDA_CC_VOLTA || __CUDA_ARCH__ >= GGML_CUDA_CC_ADA_LOVELACE)
+    return MMVQ_MAX_BATCH_SIZE;
+#elif defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= GGML_CUDA_CC_TURING
+    return get_mmvq_mmid_max_batch_turing_plus(type);
+#else
+    return get_mmvq_mmid_max_batch_pascal_older(type);
+#endif
+}
+
 static constexpr __host__ __device__ int calc_nwarps(ggml_type type, int ncols_dst, mmvq_parameter_table_id table_id) {
     if (table_id == MMVQ_PARAMETERS_GENERIC) {
         switch (ncols_dst) {
@@ -173,11 +368,11 @@ static constexpr __host__ __device__ int calc_nwarps(ggml_type type, int ncols_d
     return 1;
 }
 
-static constexpr __host__ __device__ int calc_rows_per_block(int ncols_dst, int table_id) {
+static constexpr __host__ __device__ int calc_rows_per_block(int ncols_dst, int table_id, bool small_k = false, int nwarps = 1) {
     if (table_id == MMVQ_PARAMETERS_GENERIC || table_id == MMVQ_PARAMETERS_GCN) {
         switch (ncols_dst) {
             case 1:
-                return 1;
+                return small_k ? nwarps : 1;
             case 2:
             case 3:
             case 4:
@@ -193,7 +388,7 @@ static constexpr __host__ __device__ int calc_rows_per_block(int ncols_dst, int
     return 1;
 }
 
-template <ggml_type type, int ncols_dst, bool has_fusion, bool is_multi_token_id = false>
+template <ggml_type type, int ncols_dst, bool has_fusion, bool small_k = false>
 __launch_bounds__(calc_nwarps(type, ncols_dst, get_device_table_id())*ggml_cuda_get_physical_warp_size(), 1)
 static __global__ void mul_mat_vec_q(
         const void * __restrict__ vx, const void * __restrict__ vy, const int32_t * __restrict__ ids, const ggml_cuda_mm_fusion_args_device fusion, float * __restrict__ dst,
@@ -208,7 +403,7 @@ static __global__ void mul_mat_vec_q(
     constexpr int vdr = get_vdr_mmvq(type);
     constexpr mmvq_parameter_table_id table_id = get_device_table_id();
     constexpr int nwarps = calc_nwarps(type, ncols_dst, table_id);
-    constexpr int rows_per_cuda_block = calc_rows_per_block(ncols_dst, table_id);
+    constexpr int rows_per_cuda_block = calc_rows_per_block(ncols_dst, table_id, small_k, nwarps);
     constexpr int warp_size = ggml_cuda_get_physical_warp_size();
 
     constexpr vec_dot_q_cuda_t vec_dot_q_cuda = get_vec_dot_q_cuda(type);
@@ -220,22 +415,13 @@ static __global__ void mul_mat_vec_q(
 
     const uint32_t channel_dst = blockIdx.y;
 
-    uint32_t token_idx = 0;
     uint32_t channel_x;
     uint32_t channel_y;
     uint32_t sample_dst;
 
-    if constexpr (is_multi_token_id) {
-        // Multi-token MUL_MAT_ID path, adding these in the normal path causes a perf regression for n_tokens=1 case
-        token_idx  = blockIdx.z;
-        channel_x  = ids[channel_dst + token_idx * ids_stride];
-        channel_y  = fastmodulo(channel_dst, nchannels_y);
-        sample_dst = 0;
-    } else {
-        channel_x  = ncols_dst == 1 && ids ? ids[channel_dst]                     : fastdiv(channel_dst, channel_ratio);
-        channel_y  = ncols_dst == 1 && ids ? fastmodulo(channel_dst, nchannels_y) : channel_dst;
-        sample_dst = blockIdx.z;
-    }
+    channel_x  = ncols_dst == 1 && ids ? ids[channel_dst]                     : fastdiv(channel_dst, channel_ratio);
+    channel_y  = ncols_dst == 1 && ids ? fastmodulo(channel_dst, nchannels_y) : channel_dst;
+    sample_dst = blockIdx.z;
 
     const uint32_t sample_x    = fastdiv(sample_dst, sample_ratio);
     const uint32_t sample_y    = sample_dst;
@@ -292,9 +478,6 @@ static __global__ void mul_mat_vec_q(
     float tmp_gate[ncols_dst][rows_per_cuda_block] = {{0.0f}};
 
     const block_q8_1 * y = ((const block_q8_1 *) vy) + sample_y*stride_sample_y + channel_y*stride_channel_y;
-    if constexpr (is_multi_token_id) {
-        y += token_idx*stride_col_y;
-    }
     const int kbx_offset = sample_x*stride_sample_x + channel_x*stride_channel_x + row0*stride_row_x;
 
     for (int kbx = tid / (qi/vdr); kbx < blocks_per_row_x; kbx += blocks_per_iter) {
@@ -348,10 +531,6 @@ static __global__ void mul_mat_vec_q(
 
     dst += sample_dst*stride_sample_dst + channel_dst*stride_channel_dst + row0;
 
-    if constexpr (is_multi_token_id) {
-        dst += token_idx*stride_col_dst;
-    }
-
     // sum up partial sums and write back result
 #pragma unroll
     for (int j = 0; j < ncols_dst; ++j) {
@@ -411,17 +590,82 @@ static __global__ void mul_mat_vec_q(
     }
 }
 
+// Dedicated MoE multi-token kernel.
+// Grid: (ceil(nrows_x / c_rows_per_block), nchannels_dst)
+// Block: (warp_size, ncols_dst) - each warp handles one token independently.
+// No shared memory reduction needed since each warp works alone.
+template <ggml_type type, int c_rows_per_block>
+__launch_bounds__(get_mmvq_mmid_max_batch_for_device<type>()*ggml_cuda_get_physical_warp_size(), 1)
+static __global__ void mul_mat_vec_q_moe(
+        const void * __restrict__ vx, const void * __restrict__ vy, const int32_t * __restrict__ ids,
+        float * __restrict__ dst,
+        const uint32_t ncols_x, const uint3 nchannels_y, const uint32_t nrows_x,
+        const uint32_t stride_row_x, const uint32_t stride_col_y, const uint32_t stride_col_dst,
+        const uint32_t stride_channel_x, const uint32_t stride_channel_y, const uint32_t stride_channel_dst,
+        const uint32_t ncols_dst, const uint32_t ids_stride) {
+
+    constexpr int qk  = ggml_cuda_type_traits<type>::qk;
+    constexpr int qi  = ggml_cuda_type_traits<type>::qi;
+    constexpr int vdr = get_vdr_mmvq(type);
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
+
+    constexpr vec_dot_q_cuda_t vec_dot_q_cuda = get_vec_dot_q_cuda(type);
+
+    const uint32_t token_idx   = threadIdx.y;
+    const int      row0        = c_rows_per_block*blockIdx.x;
+    const int      blocks_per_row_x = ncols_x / qk;
+    constexpr int  blocks_per_iter  = vdr * warp_size / qi;
+
+    const uint32_t channel_dst = blockIdx.y;
+
+    if (token_idx >= ncols_dst) {
+        return;
+    }
+
+    const uint32_t channel_x = ids[channel_dst + token_idx * ids_stride];
+    const uint32_t channel_y = fastmodulo(channel_dst, nchannels_y);
+
+    const block_q8_1 * y = ((const block_q8_1 *) vy) + channel_y*stride_channel_y + token_idx*stride_col_y;
+    const int kbx_offset  = channel_x*stride_channel_x + row0*stride_row_x;
+
+    // partial sum for each thread
+    float tmp[c_rows_per_block] = {0.0f};
+
+    for (int kbx = threadIdx.x / (qi/vdr); kbx < blocks_per_row_x; kbx += blocks_per_iter) {
+        const int kby = kbx * (qk/QK8_1);
+        const int kqs = vdr * (threadIdx.x % (qi/vdr));
+
+#pragma unroll
+        for (int i = 0; i < c_rows_per_block; ++i) {
+            tmp[i] += vec_dot_q_cuda(vx, &y[kby], kbx_offset + i*stride_row_x + kbx, kqs);
+        }
+    }
+
+    // Warp-level reduction only - no shared memory needed
+#pragma unroll
+    for (int i = 0; i < c_rows_per_block; ++i) {
+        tmp[i] = warp_reduce_sum<warp_size>(tmp[i]);
+    }
+
+    // Write results
+    if (threadIdx.x < c_rows_per_block && (c_rows_per_block == 1 || uint32_t(row0 + threadIdx.x) < nrows_x)) {
+        dst[channel_dst*stride_channel_dst + token_idx*stride_col_dst + row0 + threadIdx.x] = tmp[threadIdx.x];
+    }
+}
+
 template<ggml_type type>
 static std::pair<dim3, dim3> calc_launch_params(
         const int ncols_dst, const int nrows_x, const int nchannels_dst, const int nsamples_or_ntokens,
-        const int warp_size, const mmvq_parameter_table_id table_id) {
-    const int64_t nblocks = (nrows_x + calc_rows_per_block(ncols_dst, table_id) - 1) / calc_rows_per_block(ncols_dst, table_id);
+        const int warp_size, const mmvq_parameter_table_id table_id, const bool small_k = false) {
+    const int nwarps = calc_nwarps(type, ncols_dst, table_id);
+    const int rpb = calc_rows_per_block(ncols_dst, table_id, small_k, nwarps);
+    const int64_t nblocks = (nrows_x + rpb - 1) / rpb;
     const dim3 block_nums(nblocks, nchannels_dst, nsamples_or_ntokens);
-    const dim3 block_dims(warp_size, calc_nwarps(type, ncols_dst, table_id), 1);
+    const dim3 block_dims(warp_size, nwarps, 1);
     return {block_nums, block_dims};
 }
 
-template<ggml_type type, int c_ncols_dst, bool is_multi_token_id = false>
+template<ggml_type type, int c_ncols_dst, bool small_k = false>
 static void mul_mat_vec_q_switch_fusion(
         const void * vx, const void * vy, const int32_t * ids, const ggml_cuda_mm_fusion_args_device fusion, float * dst,
         const uint32_t ncols_x, const uint3 nchannels_y, const uint32_t stride_row_x, const uint32_t stride_col_y,
@@ -434,7 +678,7 @@ static void mul_mat_vec_q_switch_fusion(
     const bool has_fusion = fusion.gate != nullptr || fusion.x_bias != nullptr || fusion.gate_bias != nullptr;
     if constexpr (c_ncols_dst == 1) {
         if (has_fusion) {
-            mul_mat_vec_q<type, c_ncols_dst, true, is_multi_token_id><<<block_nums, block_dims, nbytes_shared, stream>>>
+            mul_mat_vec_q<type, c_ncols_dst, true, small_k><<<block_nums, block_dims, nbytes_shared, stream>>>
                 (vx, vy, ids, fusion, dst, ncols_x, nchannels_y, stride_row_x, stride_col_y, stride_col_dst,
                  channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst,
                  sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst, ids_stride);
@@ -444,12 +688,33 @@ static void mul_mat_vec_q_switch_fusion(
 
     GGML_ASSERT(!has_fusion && "fusion only supported for ncols_dst=1");
 
-    mul_mat_vec_q<type, c_ncols_dst, false, is_multi_token_id><<<block_nums, block_dims, nbytes_shared, stream>>>
+    mul_mat_vec_q<type, c_ncols_dst, false, small_k><<<block_nums, block_dims, nbytes_shared, stream>>>
         (vx, vy, ids, fusion, dst, ncols_x, nchannels_y, stride_row_x, stride_col_y, stride_col_dst,
         channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst,
         sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst, ids_stride);
 }
 
+template <ggml_type type>
+static void mul_mat_vec_q_moe_launch(
+        const void * vx, const void * vy, const int32_t * ids, float * dst,
+        const uint32_t ncols_x, const uint3 nchannels_y, const uint32_t nrows_x,
+        const uint32_t stride_row_x, const uint32_t stride_col_y, const uint32_t stride_col_dst,
+        const uint32_t stride_channel_x, const uint32_t stride_channel_y, const uint32_t stride_channel_dst,
+        const uint32_t ncols_dst, const uint32_t ids_stride,
+        const int warp_size, const int nchannels_dst, cudaStream_t stream) {
+
+    constexpr int rows_per_block = 2; // 2 gives best perf based on tuning
+    const int64_t nblocks_rows = (nrows_x + rows_per_block - 1) / rows_per_block;
+    const dim3 block_nums(nblocks_rows, nchannels_dst);
+    const dim3 block_dims(warp_size, ncols_dst);
+
+    mul_mat_vec_q_moe<type, rows_per_block><<<block_nums, block_dims, 0, stream>>>(
+        vx, vy, ids, dst, ncols_x, nchannels_y, nrows_x,
+        stride_row_x, stride_col_y, stride_col_dst,
+        stride_channel_x, stride_channel_y, stride_channel_dst,
+        ncols_dst, ids_stride);
+}
+
 template <ggml_type type>
 static void mul_mat_vec_q_switch_ncols_dst(
         const void * vx, const void * vy, const int32_t * ids, const ggml_cuda_mm_fusion_args_device fusion, float * dst,
@@ -468,31 +733,88 @@ static void mul_mat_vec_q_switch_ncols_dst(
     const uint3 sample_ratio_fd  = init_fastdiv_values(nsamples_dst  / nsamples_x);
 
     const int device = ggml_cuda_get_device();
+    const int                     cc        = ggml_cuda_info().devices[device].cc;
     const int warp_size = ggml_cuda_info().devices[device].warp_size;
-    const mmvq_parameter_table_id table_id = get_device_table_id(ggml_cuda_info().devices[device].cc);
+    const mmvq_parameter_table_id table_id  = get_device_table_id(cc);
 
     const bool has_fusion = fusion.gate != nullptr || fusion.x_bias != nullptr || fusion.gate_bias != nullptr;
     const bool has_ids = ids != nullptr;
 
+    const auto should_use_small_k = [&](int c_ncols_dst) {
+        // When K is small, increase rows_per_block to match nwarps so each warp has more work to do
+        // Trigger when the full thread block covers all K blocks in a single loop iteration and few threads remain idle.
+        constexpr int qk                    = ggml_cuda_type_traits<type>::qk;
+        constexpr int qi                    = ggml_cuda_type_traits<type>::qi;
+        constexpr int vdr                   = get_vdr_mmvq(type);
+        const int     blocks_per_row_x      = ncols_x / qk;
+        const int     blocks_per_iter_1warp = vdr * warp_size / qi;
+        const int     nwarps                = calc_nwarps(type, c_ncols_dst, table_id);
+        bool          use                   = nwarps > 1 && blocks_per_row_x < nwarps * blocks_per_iter_1warp;
+
+        constexpr std::array<ggml_type, 2> iq_slow_turing = {
+            GGML_TYPE_IQ3_XXS,
+            GGML_TYPE_IQ3_S,
+        };
+        constexpr std::array<ggml_type, 8> iq_slow_other = {
+            GGML_TYPE_IQ1_S, GGML_TYPE_IQ1_M,   GGML_TYPE_IQ2_XXS, GGML_TYPE_IQ2_XS,
+            GGML_TYPE_IQ2_S, GGML_TYPE_IQ3_XXS, GGML_TYPE_IQ3_S,   GGML_TYPE_IQ4_XS,
+        };
+        constexpr std::array<ggml_type, 3> slow_pascal = {
+            GGML_TYPE_IQ3_S,
+            GGML_TYPE_Q2_K,
+            GGML_TYPE_Q3_K,
+        };
+
+        const bool is_nvidia_turing_plus  = GGML_CUDA_CC_IS_NVIDIA(cc) && cc >= GGML_CUDA_CC_TURING;
+        const bool is_nvidia_pascal_older = GGML_CUDA_CC_IS_NVIDIA(cc) && cc < GGML_CUDA_CC_VOLTA;
+
+        if (is_nvidia_turing_plus) {
+            if (ncols_dst == 1 &&
+                    std::find(iq_slow_turing.begin(), iq_slow_turing.end(), type) != iq_slow_turing.end()) {
+                use = false;
+            }
+        } else if ((ncols_dst == 1 && std::find(iq_slow_other.begin(), iq_slow_other.end(), type) != iq_slow_other.end()) ||
+                (is_nvidia_pascal_older && std::find(slow_pascal.begin(), slow_pascal.end(), type) != slow_pascal.end()) ||
+                GGML_CUDA_CC_IS_RDNA(cc)) {
+            use = false;
+        }
+
+        return use;
+    };
+
     if (has_ids && ncols_dst > 1) {
-        // Multi-token MUL_MAT_ID path only - single-token goes through regular path below
-        constexpr int c_ncols_dst = 1;
-        std::pair<dim3, dim3> dims = calc_launch_params<type>(c_ncols_dst, nrows_x, nchannels_dst, ncols_dst, warp_size, table_id);
-        mul_mat_vec_q_switch_fusion<type, c_ncols_dst, true>(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst,
-             channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst,
-             sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst,
-             dims.first, dims.second, 0, ids_stride, stream);
+        // Multi-token MUL_MAT_ID path - dedicated MoE kernel
+        mul_mat_vec_q_moe_launch<type>(
+            vx, vy, ids, dst, ncols_x, nchannels_y_fd, nrows_x,
+            stride_row_x, stride_col_y, stride_col_dst,
+            stride_channel_x, stride_channel_y, stride_channel_dst,
+            ncols_dst, ids_stride, warp_size, nchannels_dst, stream);
         return;
     }
 
     switch (ncols_dst) {
         case 1: {
             constexpr int c_ncols_dst = 1;
-            std::pair<dim3, dim3> dims = calc_launch_params<type>(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id);
-            mul_mat_vec_q_switch_fusion<type, c_ncols_dst>(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst,
-                 channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst,
-                 sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst,
-                 dims.first, dims.second, 0, ids_stride, stream);
+
+            bool use_small_k = should_use_small_k(c_ncols_dst);
+
+            if (use_small_k) {
+                std::pair<dim3, dim3> dims = calc_launch_params<type>(c_ncols_dst, nrows_x, nchannels_dst,
+                                                                        nsamples_dst, warp_size, table_id, true);
+                mul_mat_vec_q_switch_fusion<type, c_ncols_dst, true>(
+                    vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst,
+                    channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd,
+                    stride_sample_x, stride_sample_y, stride_sample_dst, dims.first, dims.second, 0, ids_stride,
+                    stream);
+            } else {
+                std::pair<dim3, dim3> dims = calc_launch_params<type>(c_ncols_dst, nrows_x, nchannels_dst,
+                                                                        nsamples_dst, warp_size, table_id);
+                mul_mat_vec_q_switch_fusion<type, c_ncols_dst>(
+                    vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst,
+                    channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd,
+                    stride_sample_x, stride_sample_y, stride_sample_dst, dims.first, dims.second, 0, ids_stride,
+                    stream);
+            }
         } break;
         case 2: {
             constexpr int c_ncols_dst = 2;
@@ -566,6 +888,12 @@ static void mul_mat_vec_q_switch_type(
         const int nsamples_x, const int nsamples_dst, const int stride_sample_x, const int stride_sample_y, const int stride_sample_dst,
         const int ids_stride, cudaStream_t stream) {
     switch (type_x) {
+        case GGML_TYPE_Q1_0:
+            mul_mat_vec_q_switch_ncols_dst<GGML_TYPE_Q1_0>
+                (vx, vy, ids, fusion, dst, ncols_x, nrows_x, ncols_dst, stride_row_x, stride_col_y, stride_col_dst,
+                 nchannels_x, nchannels_y, nchannels_dst, stride_channel_x, stride_channel_y, stride_channel_dst,
+                 nsamples_x, nsamples_dst, stride_sample_x, stride_sample_y, stride_sample_dst, ids_stride, stream);
+            break;
         case GGML_TYPE_Q4_0:
             mul_mat_vec_q_switch_ncols_dst<GGML_TYPE_Q4_0>
                 (vx, vy, ids, fusion, dst, ncols_x, nrows_x, ncols_dst, stride_row_x, stride_col_y, stride_col_dst,
@@ -602,6 +930,12 @@ static void mul_mat_vec_q_switch_type(
                  nchannels_x, nchannels_y, nchannels_dst, stride_channel_x, stride_channel_y, stride_channel_dst,
                  nsamples_x, nsamples_dst, stride_sample_x, stride_sample_y, stride_sample_dst, ids_stride, stream);
             break;
+        case GGML_TYPE_NVFP4:
+            mul_mat_vec_q_switch_ncols_dst<GGML_TYPE_NVFP4>
+                (vx, vy, ids, fusion, dst, ncols_x, nrows_x, ncols_dst, stride_row_x, stride_col_y, stride_col_dst,
+                 nchannels_x, nchannels_y, nchannels_dst, stride_channel_x, stride_channel_y, stride_channel_dst,
+                 nsamples_x, nsamples_dst, stride_sample_x, stride_sample_y, stride_sample_dst, ids_stride, stream);
+            break;
         case GGML_TYPE_Q2_K:
             mul_mat_vec_q_switch_ncols_dst<GGML_TYPE_Q2_K>
                 (vx, vy, ids, fusion, dst, ncols_x, nrows_x, ncols_dst, stride_row_x, stride_col_y, stride_col_dst,
diff --git a/ggml/src/ggml-cuda/mmvq.cuh b/ggml/src/ggml-cuda/mmvq.cuh
index 8a154631f69ec40fb0d45f55e4045330b520d3b7..6bf0a8e8677ded84736af9fcf2ac9adcafd81c8b 100644
--- a/ggml/src/ggml-cuda/mmvq.cuh
+++ b/ggml/src/ggml-cuda/mmvq.cuh
@@ -1,7 +1,10 @@
 #include "common.cuh"
 
 #define MMVQ_MAX_BATCH_SIZE 8 // Max. batch size for which to use MMVQ kernels.
-#define MMVQ_MMID_MAX_BATCH_SIZE 4 // Max. batch size for which to use MMVQ kernels for MUL_MAT_ID
+
+// Returns the maximum batch size for which MMVQ should be used for MUL_MAT_ID,
+// based on the quantization type and GPU architecture (compute capability).
+int get_mmvq_mmid_max_batch(ggml_type type, int cc);
 
 void ggml_cuda_mul_mat_vec_q(ggml_backend_cuda_context & ctx,
     const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst, const ggml_cuda_mm_fusion_args_host * fusion = nullptr);
diff --git a/ggml/src/ggml-cuda/ssm-conv.cu b/ggml/src/ggml-cuda/ssm-conv.cu
index 69985cd335c9f27c53dae43d370c169551e29eb7..b77cdc1c1376637c94bb5a535f68a40ce2287fd0 100644
--- a/ggml/src/ggml-cuda/ssm-conv.cu
+++ b/ggml/src/ggml-cuda/ssm-conv.cu
@@ -134,8 +134,9 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int
     switch (nc) {
         case 3: launch_kernel(std::integral_constant<int, 3>{}); break;
         case 4: launch_kernel(std::integral_constant<int, 4>{}); break;
+        case 5: launch_kernel(std::integral_constant<int, 5>{}); break;
         case 9: launch_kernel(std::integral_constant<int, 9>{}); break;
-        default: GGML_ABORT("Only support kernel sizes 3, 4, 9 right now.");
+        default: GGML_ABORT("Only support kernel sizes 3, 4, 5, 9 right now.");
     }
 }
 
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu
index dc16829021f9019b032eb65004925e516c3491a0..22d383173f36213d5456b5a28474979ae1a7578d 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu
@@ -8,3 +8,4 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 1, 8);
 DECL_FATTN_MMA_F16_CASE(112, 112, 1, 8);
 DECL_FATTN_MMA_F16_CASE(128, 128, 1, 8);
 DECL_FATTN_MMA_F16_CASE(256, 256, 1, 8);
+DECL_FATTN_MMA_F16_CASE(512, 512, 1, 8);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu
index 517993cb0681f575ee78744734158d014ca0c7b5..d2415bfa957f31075f4611250fe7d43c4a4a470d 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu
@@ -8,4 +8,5 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 16, 4);
 DECL_FATTN_MMA_F16_CASE(112, 112, 16, 4);
 DECL_FATTN_MMA_F16_CASE(128, 128, 16, 4);
 DECL_FATTN_MMA_F16_CASE(256, 256, 16, 4);
+DECL_FATTN_MMA_F16_CASE(512, 512, 16, 4);
 DECL_FATTN_MMA_F16_CASE(576, 512, 16, 4);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu
index 97b19c67ade9377784ceb48a31e0dbccfb02d1d1..8eec1d74e293e4e77ba0c18aa4995eb90e1fe238 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu
@@ -8,4 +8,5 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 2, 4);
 DECL_FATTN_MMA_F16_CASE(112, 112, 2, 4);
 DECL_FATTN_MMA_F16_CASE(128, 128, 2, 4);
 DECL_FATTN_MMA_F16_CASE(256, 256, 2, 4);
+DECL_FATTN_MMA_F16_CASE(512, 512, 2, 4);
 DECL_FATTN_MMA_F16_CASE(576, 512, 2, 4);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu
index 163b1d939e49dedfa88bde15681da5410db6a7e3..84b674cd05a6f2664678fd757d6b82dffbe56049 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu
@@ -8,3 +8,4 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 2, 8);
 DECL_FATTN_MMA_F16_CASE(112, 112, 2, 8);
 DECL_FATTN_MMA_F16_CASE(128, 128, 2, 8);
 DECL_FATTN_MMA_F16_CASE(256, 256, 2, 8);
+DECL_FATTN_MMA_F16_CASE(512, 512, 2, 8);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu
index 989626dfa5e02e8ef3781d9a9ee189926db40ee9..3475dfea08a1349a9813b2b448dc4b8fc6402062 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu
@@ -8,4 +8,5 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 4, 4);
 DECL_FATTN_MMA_F16_CASE(112, 112, 4, 4);
 DECL_FATTN_MMA_F16_CASE(128, 128, 4, 4);
 DECL_FATTN_MMA_F16_CASE(256, 256, 4, 4);
+DECL_FATTN_MMA_F16_CASE(512, 512, 4, 4);
 DECL_FATTN_MMA_F16_CASE(576, 512, 4, 4);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu
index bad296b4141e0ce124113ecc3c7dd3f7643682b5..5906398db9123753462ca05c9c9c95b4dae28cbe 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu
@@ -8,3 +8,4 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 4, 8);
 DECL_FATTN_MMA_F16_CASE(112, 112, 4, 8);
 DECL_FATTN_MMA_F16_CASE(128, 128, 4, 8);
 DECL_FATTN_MMA_F16_CASE(256, 256, 4, 8);
+DECL_FATTN_MMA_F16_CASE(512, 512, 4, 8);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu
index 173de7aac7d5744c2e003ff8a886b7043d10c901..684cd25ce0decb0bd7deb9b9fe9ebc0eb4d672e7 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu
@@ -8,4 +8,5 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 8, 4);
 DECL_FATTN_MMA_F16_CASE(112, 112, 8, 4);
 DECL_FATTN_MMA_F16_CASE(128, 128, 8, 4);
 DECL_FATTN_MMA_F16_CASE(256, 256, 8, 4);
+DECL_FATTN_MMA_F16_CASE(512, 512, 8, 4);
 DECL_FATTN_MMA_F16_CASE(576, 512, 8, 4);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu
index 680a13ca6de5826f8ff741c1fc9ee2d1c12756e4..4bc60d62f91042fdc2e57b7b8a65fc9f95dd347d 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu
@@ -8,3 +8,4 @@ DECL_FATTN_MMA_F16_CASE(96, 96, 8, 8);
 DECL_FATTN_MMA_F16_CASE(112, 112, 8, 8);
 DECL_FATTN_MMA_F16_CASE(128, 128, 8, 8);
 DECL_FATTN_MMA_F16_CASE(256, 256, 8, 8);
+DECL_FATTN_MMA_F16_CASE(512, 512, 8, 8);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq512-dv512.cu b/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq512-dv512.cu
new file mode 100644
index 0000000000000000000000000000000000000000..7c61d8d2ecdb3f64197420fadf6f5cb8bf974315
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq512-dv512.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.cuh"
+
+DECL_FATTN_TILE_CASE(512, 512);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..3a2fa99b05bad48a5dedbeaab90a9d6bdb42aa60
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-f16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-f16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..60f0f6f795273c7044f0c2abf2db4f170e1771f0
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-f16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q4_0.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q4_0.cu
new file mode 100644
index 0000000000000000000000000000000000000000..489e05f08c392d33a39b447717325c4b086faf5c
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q4_0.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q4_1.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q4_1.cu
new file mode 100644
index 0000000000000000000000000000000000000000..6fa3c26d309119b823fea65463a24b51016ea3d3
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q4_1.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q5_0.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q5_0.cu
new file mode 100644
index 0000000000000000000000000000000000000000..421027fb29d0ce4800ae82665f6029767aee4ad5
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q5_0.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q5_1.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q5_1.cu
new file mode 100644
index 0000000000000000000000000000000000000000..abbc94348023096276c9ada516062bfe1ef3dc2b
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q5_1.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q8_0.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q8_0.cu
new file mode 100644
index 0000000000000000000000000000000000000000..d641f859d81bd6602c14454a14b5ffe5f967db81
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-bf16-q8_0.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_BF16, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_BF16, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_BF16, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-f16-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-f16-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..d1071dc24381cb7295eb5f781e0e1455bac15101
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-f16-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q4_0-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q4_0-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..8afda3142389fad1c5b658e5756b287c4bc857ac
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q4_0-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q4_1-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q4_1-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..506864ac18dc0d74dde7ea831cceb71980af8341
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q4_1-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q5_0-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q5_0-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..0bbda8371e62421d7242beac39834ccd3691f483
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q5_0-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q5_1-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q5_1-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..79be24daf9e05df2e6358c92b2da488c2bacf6b1
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q5_1-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q8_0-bf16.cu b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q8_0-bf16.cu
new file mode 100644
index 0000000000000000000000000000000000000000..45636e5e70c67c8d25f256c07e62c0b998f555ca
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-vec-instance-q8_0-bf16.cu
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.cuh"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_BF16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_BF16);
diff --git a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py
index e382df1ae206472917b63f08c72c52a5ac691b27..841059c15b5209c22728013f2cf1d1a019958c65 100644
--- a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py
+++ b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py
@@ -3,9 +3,9 @@
 from glob import glob
 import os
 
-HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 256, 576]
+HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 256, 512, 576]
 
-TYPES_KV = ["GGML_TYPE_F16", "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0"]
+TYPES_KV = ["GGML_TYPE_F16", "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", "GGML_TYPE_BF16"]
 
 SOURCE_FATTN_TILE = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
@@ -32,10 +32,11 @@ SOURCE_FATTN_MMA_START = """// This file has been autogenerated by generate_cu_f
 SOURCE_FATTN_MMA_CASE = "DECL_FATTN_MMA_F16_CASE({head_size_kq}, {head_size_v}, {ncols1}, {ncols2});\n"
 
 TYPES_MMQ = [
+    "GGML_TYPE_Q1_0",
     "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0",
     "GGML_TYPE_Q2_K", "GGML_TYPE_Q3_K", "GGML_TYPE_Q4_K", "GGML_TYPE_Q5_K", "GGML_TYPE_Q6_K",
     "GGML_TYPE_IQ2_XXS", "GGML_TYPE_IQ2_XS", "GGML_TYPE_IQ2_S", "GGML_TYPE_IQ3_XXS", "GGML_TYPE_IQ3_S",
-    "GGML_TYPE_IQ1_S", "GGML_TYPE_IQ4_NL", "GGML_TYPE_IQ4_XS", "GGML_TYPE_MXFP4"
+    "GGML_TYPE_IQ1_S", "GGML_TYPE_IQ4_NL", "GGML_TYPE_IQ4_XS", "GGML_TYPE_MXFP4", "GGML_TYPE_NVFP4"
 ]
 
 SOURCE_MMQ = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
@@ -83,6 +84,8 @@ for ncols in [8, 16, 32, 64]:
                     continue
                 if head_size_kq == 72:
                     continue
+                if head_size_kq == 512 and ncols2 not in (4, 8):
+                    continue
                 if head_size_kq != 576 and ncols2 in (16, 32):
                     continue
                 if head_size_kq == 576 and ncols2 not in (4, 16, 32):
diff --git a/ggml/src/ggml-cuda/template-instances/mmq-instance-nvfp4.cu b/ggml/src/ggml-cuda/template-instances/mmq-instance-nvfp4.cu
new file mode 100644
index 0000000000000000000000000000000000000000..2cb140d35a3ccb21e71804f7ec3384d3951fc583
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/mmq-instance-nvfp4.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_NVFP4);
diff --git a/ggml/src/ggml-cuda/template-instances/mmq-instance-q1_0.cu b/ggml/src/ggml-cuda/template-instances/mmq-instance-q1_0.cu
new file mode 100644
index 0000000000000000000000000000000000000000..f0686b0d0d8507496342637dff0e4304998f2313
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/mmq-instance-q1_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q1_0);
diff --git a/ggml/src/ggml-cuda/top-k.cu b/ggml/src/ggml-cuda/top-k.cu
index 785a18389f294339ad3d527fd4bfe190a834d736..59ce36fb1c959e693200ee6864afac4b1b93b467 100644
--- a/ggml/src/ggml-cuda/top-k.cu
+++ b/ggml/src/ggml-cuda/top-k.cu
@@ -25,14 +25,14 @@ static void top_k_cub(ggml_cuda_pool & pool,
     auto indexes_in = cuda::make_counting_iterator(0);
 
     size_t temp_storage_bytes = 0;
-    DeviceTopK::MaxPairs(nullptr, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst, ncols, k,
-                         env);
+    CUDA_CHECK(DeviceTopK::MaxPairs(nullptr, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst, ncols, k,
+                         env));
 
     ggml_cuda_pool_alloc<uint8_t> temp_storage_alloc(pool, temp_storage_bytes);
     void *                        d_temp_storage = temp_storage_alloc.get();
 
-    DeviceTopK::MaxPairs(d_temp_storage, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst,
-                         ncols, k, env);
+    CUDA_CHECK(DeviceTopK::MaxPairs(d_temp_storage, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst,
+                         ncols, k, env));
 }
 
 #elif defined(GGML_CUDA_USE_CUB)  // CUB_TOP_K_AVAILABLE
diff --git a/ggml/src/ggml-cuda/vecdotq.cuh b/ggml/src/ggml-cuda/vecdotq.cuh
index ab803aca21b1d13ac31d3c156b14d766c924fe13..d1741cc8d7babdf6726f9928a3c908ae2df12dd6 100644
--- a/ggml/src/ggml-cuda/vecdotq.cuh
+++ b/ggml/src/ggml-cuda/vecdotq.cuh
@@ -106,6 +106,9 @@ static __device__ __forceinline__ uint32_t unpack_ksigns(const uint8_t v) {
 // VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
 // MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
 
+#define VDR_Q1_0_Q8_1_MMVQ 1  // Process one 32-element chunk at a time for parallelism
+#define VDR_Q1_0_Q8_1_MMQ  4  // Q1_0 has 128 bits (4 ints) per block
+
 #define VDR_Q4_0_Q8_1_MMVQ 2
 #define VDR_Q4_0_Q8_1_MMQ  4
 
@@ -322,6 +325,38 @@ static __device__ __forceinline__ float vec_dot_mxfp4_q8_1(
     return d * sumi;
 }
 
+#define VDR_NVFP4_Q8_1_MMVQ 4
+#define VDR_NVFP4_Q8_1_MMQ  8
+
+static __device__ __forceinline__ float vec_dot_nvfp4_q8_1(
+                                        const void * __restrict__ vbq,
+                                        const block_q8_1 * __restrict__ bq8_1,
+                                        const int32_t & kbx,
+                                        const int32_t & iqs) {
+
+    const block_nvfp4 * bq4 = (const block_nvfp4 *) vbq + kbx;
+    float sum = 0.0f;
+#pragma unroll
+    for (int i = 0; i < VDR_NVFP4_Q8_1_MMVQ/2; i++) {
+        const int32_t iqs0 = iqs + 2*i;
+        const int32_t iqs1 = iqs0 + 1;
+        const int32_t is = iqs0 >> 1;
+        const int2 v0 = get_int_from_table_16(get_int_b4(bq4->qs, iqs0), kvalues_mxfp4);
+        const int2 v1 = get_int_from_table_16(get_int_b4(bq4->qs, iqs1), kvalues_mxfp4);
+        const block_q8_1 * bq8 = bq8_1 + (is >> 1);
+        const int32_t i8 = ((is & 1) << 2);
+
+        int sumi = ggml_cuda_dp4a(v0.x, get_int_b4(bq8->qs, i8 + 0), 0);
+        sumi = ggml_cuda_dp4a(v0.y, get_int_b4(bq8->qs, i8 + 2), sumi);
+        sumi = ggml_cuda_dp4a(v1.x, get_int_b4(bq8->qs, i8 + 1), sumi);
+        sumi = ggml_cuda_dp4a(v1.y, get_int_b4(bq8->qs, i8 + 3), sumi);
+
+        const float d = ggml_cuda_ue4m3_to_fp32(bq4->d[is]) * __low2float(bq8->ds);
+        sum += d * float(sumi);
+    }
+
+    return sum;
+}
 #define VDR_Q2_K_Q8_1_MMVQ 1
 #define VDR_Q2_K_Q8_1_MMQ  4
 
@@ -637,6 +672,51 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmq(
     return d6 * sumf_d;
 }
 
+static __device__ __forceinline__ float vec_dot_q1_0_q8_1(
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
+
+    const block_q1_0 * bq1_0 = (const block_q1_0 *) vbq + kbx;
+
+    // Q1_0: 128 elements with ONE scale
+    // Q8_1: 32 elements per block with individual scales
+    // iqs selects which of the 4 chunks of 32 elements to process (0-3)
+
+    const float d1 = bq1_0->d;
+
+    // Process only the chunk specified by iqs
+    const block_q8_1 * bq8_1_chunk = bq8_1 + iqs;
+
+    // Load 32 bits (4 bytes) for this chunk from Q1_0
+    const int offset = iqs * 4;
+    const int v = bq1_0->qs[offset + 0] | (bq1_0->qs[offset + 1] << 8) |
+                  (bq1_0->qs[offset + 2] << 16) | (bq1_0->qs[offset + 3] << 24);
+
+    // Unpack 32 bits into 32 signed values (-1 or +1)
+    int vi_bytes[8];
+#pragma unroll
+    for (int j = 0; j < 8; ++j) {
+        const int shift = j * 4;
+        const int bits4 = (v >> shift) & 0x0F;
+        const int b0 = (bits4 & 0x01) ? 1 : -1;
+        const int b1 = (bits4 & 0x02) ? 1 : -1;
+        const int b2 = (bits4 & 0x04) ? 1 : -1;
+        const int b3 = (bits4 & 0x08) ? 1 : -1;
+        vi_bytes[j] = (b0 & 0xFF) | ((b1 & 0xFF) << 8) | ((b2 & 0xFF) << 16) | ((b3 & 0xFF) << 24);
+    }
+
+    // Compute dot product for this 32-element chunk
+    int sumi = 0;
+#pragma unroll
+    for (int j = 0; j < 8; ++j) {
+        const int u = get_int_b4(bq8_1_chunk->qs, j);
+        sumi = ggml_cuda_dp4a(vi_bytes[j], u, sumi);
+    }
+
+    // Apply Q1_0's single scale and this chunk's Q8_1 scale
+    const float d8 = __low2float(bq8_1_chunk->ds);
+    return d1 * d8 * sumi;
+}
+
 static __device__ __forceinline__ float vec_dot_q4_0_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
diff --git a/ggml/src/ggml-cuda/vendors/cuda.h b/ggml/src/ggml-cuda/vendors/cuda.h
index ba032cfab4b8d2ad7f199433686380efdad13fb9..323c98019347addaea77a80ed2ca41b9c4853a3b 100644
--- a/ggml/src/ggml-cuda/vendors/cuda.h
+++ b/ggml/src/ggml-cuda/vendors/cuda.h
@@ -6,9 +6,14 @@
 #include <cuda_bf16.h>
 #include <cuda_fp16.h>
 
-#if CUDART_VERSION >= 12050
+#ifdef GGML_USE_NCCL
+#include <nccl.h>
+#endif // GGML_USE_NCCL
+
+#if CUDART_VERSION >= 11080
 #include <cuda_fp8.h>
-#endif // CUDART_VERSION >= 12050
+#define FP8_AVAILABLE
+#endif // CUDART_VERSION >= 11080
 
 #if CUDART_VERSION >= 12080
 #include <cuda_fp4.h>
diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h
index 35d1e1a06398b42616a1791605813101ae745ece..78ca364d38ff2b622e5b6c6c3224b997d004ecd0 100644
--- a/ggml/src/ggml-cuda/vendors/hip.h
+++ b/ggml/src/ggml-cuda/vendors/hip.h
@@ -10,6 +10,11 @@
 #include <rocwmma/rocwmma-version.hpp>
 #endif // defined(GGML_HIP_ROCWMMA_FATTN)
 
+#ifdef GGML_USE_NCCL
+#include <rccl/rccl.h>
+#endif // GGML_USE_NCCL
+
+
 #define CUBLAS_GEMM_DEFAULT HIPBLAS_GEMM_DEFAULT
 #define CUBLAS_GEMM_DEFAULT_TENSOR_OP HIPBLAS_GEMM_DEFAULT
 #define CUBLAS_OP_N HIPBLAS_OP_N
@@ -53,6 +58,7 @@
 #define cudaDeviceProp hipDeviceProp_t
 #define cudaDeviceSynchronize hipDeviceSynchronize
 #define cudaError_t hipError_t
+#define cudaErrorMemoryAllocation hipErrorOutOfMemory
 #define cudaErrorPeerAccessAlreadyEnabled hipErrorPeerAccessAlreadyEnabled
 #define cudaErrorPeerAccessNotEnabled hipErrorPeerAccessNotEnabled
 #define cudaEventCreateWithFlags hipEventCreateWithFlags
@@ -183,6 +189,10 @@
 #define GCN
 #endif // defined(GCN5) || defined(GCN4)
 
+#if defined(__gfx950__)
+#define CDNA4
+#endif // defined(__gfx950__)
+
 #if defined(__gfx942__)
 #define CDNA3
 #endif // defined(__gfx942__)
@@ -195,9 +205,9 @@
 #define CDNA1
 #endif // defined(__gfx908__)
 
-#if defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
+#if defined(CDNA4) || defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
 #define CDNA // For the entire family
-#endif // defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
+#endif // defined(CDNA4) || defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
 
 #if defined(__GFX12__)
 #define RDNA4
@@ -235,6 +245,12 @@
 typedef __hip_bfloat16 nv_bfloat16;
 typedef __hip_bfloat162 nv_bfloat162;
 
+#if HIP_VERSION >= 60200000
+#include <hip/hip_fp8.h>
+typedef __hip_fp8_e4m3 __nv_fp8_e4m3;
+#define FP8_AVAILABLE
+#endif // HIP_VERSION >= 60200000
+
 typedef int8_t int8x4_t __attribute__((ext_vector_type(4)));
 typedef uint8_t uint8x4_t __attribute__((ext_vector_type(4)));
 static __device__ __forceinline__ int __vsubss4(const int a, const int b) {
diff --git a/ggml/src/ggml-cuda/vendors/musa.h b/ggml/src/ggml-cuda/vendors/musa.h
index 1abb8acfd4b9f7510e98121f700a300a7e8693a6..8aa056e9174384ac7424eb9ec953078f0a20d5c1 100644
--- a/ggml/src/ggml-cuda/vendors/musa.h
+++ b/ggml/src/ggml-cuda/vendors/musa.h
@@ -42,6 +42,7 @@
 #define cudaDeviceProp musaDeviceProp
 #define cudaDeviceSynchronize musaDeviceSynchronize
 #define cudaError_t musaError_t
+#define cudaErrorMemoryAllocation musaErrorMemoryAllocation
 #define cudaErrorPeerAccessAlreadyEnabled musaErrorPeerAccessAlreadyEnabled
 #define cudaErrorPeerAccessNotEnabled musaErrorPeerAccessNotEnabled
 #define cudaEventCreateWithFlags musaEventCreateWithFlags
diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp
index 4b8a16c363522948420ce59cdad23810c41343cf..3d68b80048f084946f1dfc440c8fbc9951d13dd1 100644
--- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp
+++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp
@@ -7,10 +7,14 @@
 
 #include <atomic>
 #include <chrono>
-#include <cstddef>
 #include <mutex>
+#include <thread>
+#include <cstddef>
 #include <stdexcept>
 #include <string>
+#include <unordered_set>
+#include <unordered_map>
+#include <regex>
 
 #ifdef _WIN32
 #    include <sal.h>
@@ -33,7 +37,7 @@
 #include "ggml-impl.h"
 #include "ggml-quants.h"
 #include "op-desc.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp_iface.h"
 #include "htp-drv.h"
 
@@ -44,11 +48,14 @@ static int    opt_etm          = 0;
 static int    opt_verbose      = 0;
 static int    opt_profile      = 0;
 static int    opt_hostbuf      = 1; // hostbuf ON by default
-static int    opt_experimental = 0;
+static int    opt_use_hmx      = 1; // when set, enable HMX; when 0, use HVX only
 
 // Enable all stages by default
-static int opt_opmask = HTP_OPMASK_QUEUE | HTP_OPMASK_QUANTIZE | HTP_OPMASK_COMPUTE;
-static int opt_opsync = 0;  // synchronous ops
+static int opt_opmask   = HTP_OPMASK_QUEUE | HTP_OPMASK_COMPUTE;
+static int opt_opsync   = 0;  // synchronous ops
+static int opt_opbatch  = 1024; // max number of ops in a batch
+static int opt_opqueue  = 16;   // max number of pending batches
+static std::regex* opt_opfilter = NULL; // regex of ops to not claim
 
 #define HEX_VERBOSE(...) \
     if (opt_verbose) GGML_LOG_DEBUG(__VA_ARGS__)
@@ -85,7 +92,7 @@ static void ggml_hexagon_dump_op_exec(const std::string &sess_name, const ggml_t
 
     op_desc desc(op);
     GGML_LOG_DEBUG("ggml-hex: %s execute-op %s: %s : %s : %s : %s : %s : flags 0x%x\n", sess_name.c_str(),
-                ggml_op_name(op->op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, req_flags);
+                ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, req_flags);
 }
 
 static void ggml_hexagon_dump_op_supp(const std::string &sess_name, const struct ggml_tensor * op, bool supp) {
@@ -93,7 +100,7 @@ static void ggml_hexagon_dump_op_supp(const std::string &sess_name, const struct
 
     op_desc desc(op);
     GGML_LOG_DEBUG("ggml-hex: %s supports-op %s : %s : %s : %s : %s : %s : %s\n", sess_name.c_str(),
-                ggml_op_name(op->op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, supp ? "yes" : "no");
+                ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, supp ? "yes" : "no");
 }
 
 static void ggml_hexagon_dump_op_prof(const std::string &sess_name, const ggml_tensor * op,
@@ -102,25 +109,16 @@ static void ggml_hexagon_dump_op_prof(const std::string &sess_name, const ggml_t
 
     op_desc desc(op);
     GGML_LOG_DEBUG("ggml-hex: %s profile-op %s: %s : %s : %s : %s : %s : op-usec %u op-cycles %u op-pkts %u (%f) call-usec %llu\n", sess_name.c_str(),
-                ggml_op_name(op->op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs,
+                ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs,
                 op_usec, op_cycles, op_pkts, (float) op_cycles / op_pkts, (unsigned long long) call_usec);
 }
 
 // ** backend sessions
 
-struct ggml_hexagon_session {
-    ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) noexcept(false);
-    ~ggml_hexagon_session() noexcept(true);
-
-    void allocate(int dev_id) noexcept(false);
-    void release() noexcept(true);
-
-    void enqueue(struct htp_general_req &req, struct dspqueue_buffer *bufs, uint32_t n_bufs, bool sync = false);
-    void flush();
-
-    ggml_backend_buffer_type buffer_type        = {};
-    ggml_backend_buffer_type repack_buffer_type = {};
+struct ggml_hexagon_opbatch;
+struct ggml_hexagon_opshm;
 
+struct ggml_hexagon_session {
     std::string      name;
     remote_handle64  handle;
     dspqueue_t       queue;
@@ -132,87 +130,28 @@ struct ggml_hexagon_session {
     bool             valid_handle;
     bool             valid_queue;
     bool             valid_iface;
-    std::atomic<int> op_pending;
-    uint32_t         prof_usecs;
-    uint32_t         prof_cycles;
-    uint32_t         prof_pkts;
-};
-
-void ggml_hexagon_session::enqueue(struct htp_general_req &req, struct dspqueue_buffer *bufs, uint32_t n_bufs, bool sync) {
-    // Bump pending flag (cleared in the session::flush once we get the response)
-    this->op_pending++;  // atomic inc
-
-    int err = dspqueue_write(this->queue,
-                             0,                       // flags - the framework will autoset this
-                             n_bufs,                  // number of buffers
-                             bufs,                    // buffer references
-                             sizeof(req),             // Message length
-                             (const uint8_t *) &req,  // Message
-                             DSPQUEUE_TIMEOUT         // Timeout
-    );
-
-    if (err != 0) {
-        GGML_ABORT("ggml-hex: %s dspqueue_write failed: 0x%08x\n", this->name.c_str(), (unsigned) err);
-    }
-
-    if (sync) {
-        flush();
-    }
-}
-
-// Flush HTP response queue i.e wait for all outstanding requests to complete
-void ggml_hexagon_session::flush() {
-    dspqueue_t q = this->queue;
-
-    // Repeatedly read packets from the queue until it's empty. We don't
-    // necessarily get a separate callback for each packet, and new packets
-    // may arrive while we're processing the previous one.
-
-    while (this->op_pending) {
-        struct htp_general_rsp rsp;
-        uint32_t               rsp_size;
-        uint32_t               flags;
 
-        struct dspqueue_buffer bufs[HTP_MAX_PACKET_BUFFERS];
-        uint32_t               n_bufs;
+    std::atomic<int>      op_pending;
+    ggml_hexagon_opbatch *op_batch;
+    ggml_hexagon_opshm   *op_shm;
 
-        // Read response packet from queue
-        int err = dspqueue_read(q, &flags,
-                                HTP_MAX_PACKET_BUFFERS,  // Maximum number of buffer references
-                                &n_bufs,                 // Number of buffer references
-                                bufs,                    // Buffer references
-                                sizeof(rsp),             // Max message length
-                                &rsp_size,               // Message length
-                                (uint8_t *) &rsp,        // Message
-                                DSPQUEUE_TIMEOUT);       // Timeout
-
-        if (err == AEE_EEXPIRED) {
-            // TODO: might need to bail out if the HTP is stuck on something
-            continue;
-        }
+    ggml_backend_buffer_type buffer_type        = {};
+    ggml_backend_buffer_type repack_buffer_type = {};
 
-        if (err != 0) {
-            GGML_ABORT("ggml-hex: dspqueue_read failed: 0x%08x\n", (unsigned) err);
-        }
+    ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) noexcept(false);
+    ~ggml_hexagon_session() noexcept(true);
 
-        // Basic sanity checks
-        if (rsp_size != sizeof(rsp)) {
-            GGML_ABORT("ggml-hex: dspcall : bad response (size)\n");
-        }
+    const char* c_name() const { return name.c_str(); }
 
-        if (rsp.status != HTP_STATUS_OK) {
-            GGML_LOG_ERROR("ggml-hex: dspcall : dsp-rsp: %s\n", status_to_str(rsp.status));
-            // TODO: handle errors
-        }
+    void allocate(int dev_id) noexcept(false);
+    void release() noexcept(true);
 
-        // TODO: update profiling implementation, currently only works for opt_opsync mode
-        this->prof_usecs  = rsp.prof_usecs;
-        this->prof_cycles = rsp.prof_cycles;
-        this->prof_pkts   = rsp.prof_pkts;
+    void enqueue_op(htp_op_code opcode, const ggml_tensor *op);
+    void flush(bool all = true);
 
-        this->op_pending--;  // atomic dec
-    }
-}
+    void flush_pending(bool all = false);
+    void flush_batch();
+};
 
 // ** backend buffers
 
@@ -226,82 +165,99 @@ struct ggml_backend_hexagon_buffer_type_context {
     std::string            name;
 };
 
-struct ggml_backend_hexagon_buffer_context {
-    bool mmap_to(ggml_hexagon_session * s) {
-        HEX_VERBOSE("ggml-hex: %s mmaping buffer: base %p domain-id %d session-id %d size %zu fd %d repack %d\n",
-                    s->name.c_str(), (void *) this->base, s->domain_id, s->session_id, this->size, this->fd,
-                    (int) this->repack);
+struct ggml_hexagon_shared_buffer {
+    ggml_hexagon_session * sess;
+    uint8_t *              base;
+    size_t                 size;
+    int                    fd;
+    bool                   mapped;
+    bool                   pinned;
 
-        int err = fastrpc_mmap(s->domain_id, this->fd, (void *) this->base, 0, this->size, FASTRPC_MAP_FD);
+    void mmap(bool pinned = false) {
+        int err = fastrpc_mmap(sess->domain_id, this->fd, (void *) this->base, 0, this->size, FASTRPC_MAP_FD_DELAYED);
         if (err != 0) {
-            GGML_LOG_ERROR("ggml-hex: buffer mapping failed : domain_id %d size %zu fd %d error 0x%08x\n",
-                    s->domain_id, this->size, this->fd, (unsigned) err);
-            return false;
+            GGML_LOG_ERROR("ggml-hex: %s buffer mapping failed : domain_id %d size %zu fd %d error 0x%08x\n", sess->c_name(),
+                    sess->domain_id, this->size, this->fd, (unsigned) err);
+            throw std::runtime_error("ggml-hex: fastrpc_mmap failed (see log for details)");
         }
 
-        return true;
-    }
-
-    bool mmap() {
-        if (this->mapped) {
-            return true;
-        }
-        if (!mmap_to(this->sess)) {
-            return false;
+        if (pinned) {
+            err = htp_iface_mmap(sess->handle, this->fd, this->size, pinned);
+            if (err != 0) {
+                GGML_LOG_ERROR("ggml-hex: %s buffer pinning failed : domain_id %d size %zu fd %d error 0x%08x\n", sess->c_name(),
+                        sess->domain_id, this->size, this->fd, (unsigned) err);
+                throw std::runtime_error("ggml-hex: htp_iface_mmap failed (see log for details)");
+            }
         }
+
         this->mapped = true;
-        return true;
+        this->pinned = pinned;
+        HEX_VERBOSE("ggml-hex: %s mapped buffer: base %p size %zu fd %d pinned %u\n",
+                sess->c_name(), (void *) this->base, this->size, this->fd, pinned);
     }
 
-    void munmap() {
-        if (!this->mapped) {
-            return;
-        }
+    void unmap() {
+        if (!this->mapped) return;
+
+        htp_iface_munmap(sess->handle, this->fd);
+        fastrpc_munmap(sess->domain_id, this->fd, (void *) this->base, this->size);
+
+        HEX_VERBOSE("ggml-hex: %s unmapped buffer: base %p size %zu fd %d\n", sess->c_name(),
+                (void *) this->base, size, this->fd);
 
-        fastrpc_munmap(this->sess->domain_id, this->fd, this->base, this->size);
         this->mapped = false;
+        this->fd     = -1;
     }
 
-    ggml_backend_hexagon_buffer_context(ggml_hexagon_session * sess, size_t size, bool repack) {
-        size += 4 * 1024;  // extra page for padding
+    void alloc(size_t size, bool pinned = false) {
+        if (this->base) return;
 
-        this->base = (uint8_t *) rpcmem_alloc2(RPCMEM_HEAP_ID_SYSTEM, RPCMEM_DEFAULT_FLAGS | RPCMEM_HEAP_NOREG, size);
+        this->base = (uint8_t *) rpcmem_alloc2(RPCMEM_HEAP_ID_SYSTEM, RPCMEM_DEFAULT_FLAGS, size);
         if (!this->base) {
-            GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer : size %zu\n", sess->name.c_str(), size);
+            GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer : size %zu\n", sess->c_name(), size);
             throw std::runtime_error("ggml-hex: rpcmem_alloc failed (see log for details)");
         }
 
         this->fd = rpcmem_to_fd(this->base);
         if (this->fd < 0) {
-            GGML_LOG_ERROR("ggml-hex: %s failed to get FD for buffer %p\n", sess->name.c_str(), (void *) this->base);
-            rpcmem_free(this->base);
-            this->base = NULL;
+            GGML_LOG_ERROR("ggml-hex: %s failed to get FD for buffer %p\n", sess->c_name(), (void *) this->base);
             throw std::runtime_error("ggml-hex: rpcmem_to_fd failed (see log for details)");
         }
+        this->size = size;
+
+        HEX_VERBOSE("ggml-hex: %s allocated buffer: base %p size %zu fd %d pinned %d\n", sess->c_name(),
+                    (void *) this->base, this->size, this->fd, (int) pinned);
+
+        mmap(pinned);
+    }
 
-        HEX_VERBOSE("ggml-hex: %s allocated buffer: base %p size %zu fd %d repack %d\n", sess->name.c_str(),
-                    (void *) this->base, size, this->fd, (int) repack);
+    void free() {
+        if (!this->base) return;
+
+        unmap();
+        rpcmem_free(this->base);
+
+        HEX_VERBOSE("ggml-hex: %s freed buffer: base %p size %zu fd %d\n", sess->c_name(),
+                (void *) this->base, size, this->fd);
+
+        this->base = NULL;
+    }
+
+    ggml_hexagon_shared_buffer(ggml_hexagon_session * sess, size_t size, bool pinned = false) {
+        size += 4 * 1024;  // extra page for padding
 
         this->sess   = sess;
-        this->size   = size;
+        this->size   = 0;
+        this->base   = nullptr;
+        this->fd     = -1;
         this->mapped = false;
-        this->repack = repack;
-    }
 
-    ~ggml_backend_hexagon_buffer_context() {
-        munmap();
-        if (this->base) {
-            rpcmem_free(this->base);
-            this->base = NULL;
-        }
+        alloc(size, pinned);
     }
 
-    ggml_hexagon_session * sess;  // primary session
-    uint8_t *              base;
-    size_t                 size;
-    int                    fd;
-    bool                   mapped;  // mmap is done
-    bool                   repack;  // repacked buffer
+    ~ggml_hexagon_shared_buffer() {
+        free();
+    }
 };
 
 static ggml_hexagon_session * ggml_backend_hexagon_buffer_get_sess(ggml_backend_buffer_t buffer) {
@@ -309,30 +265,26 @@ static ggml_hexagon_session * ggml_backend_hexagon_buffer_get_sess(ggml_backend_
 }
 
 static void ggml_backend_hexagon_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-    auto ctx = static_cast<ggml_backend_hexagon_buffer_context *>(buffer->context);
-    delete ctx;
+    auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(buffer->context);
+    delete sbuf;
 }
 
 static void * ggml_backend_hexagon_buffer_get_base(ggml_backend_buffer_t buffer) {
-    auto ctx = static_cast<ggml_backend_hexagon_buffer_context *>(buffer->context);
-    return ctx->base;
+    auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(buffer->context);
+    return sbuf->base;
 }
 
 static enum ggml_status ggml_backend_hexagon_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
-    auto ctx  = static_cast<ggml_backend_hexagon_buffer_context *>(buffer->context);
-    auto sess = ctx->sess;
+    auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(buffer->context);
+    auto sess = sbuf->sess;
 
-    HEX_VERBOSE("ggml-hex: %s init-tensor %s : base %p data %p nbytes %zu usage %d repack %d\n", sess->name.c_str(),
-                tensor->name, (void *) ctx->base, tensor->data, ggml_nbytes(tensor), (int) buffer->usage,
-                (int) ctx->repack);
+    HEX_VERBOSE("ggml-hex: %s init-tensor %s : base %p data %p nbytes %zu usage %d\n", sess->c_name(),
+                tensor->name, (void *) sbuf->base, tensor->data, ggml_nbytes(tensor), (int) buffer->usage);
 
     if (tensor->view_src != NULL && tensor->view_offs == 0) {
-        ; // nothing to do for the view
-    } else {
-        if (!ctx->mapped) {
-            ctx->mmap();
-        }
+        return GGML_STATUS_SUCCESS; // nothing to do for the view
     }
+
     return GGML_STATUS_SUCCESS;
 }
 
@@ -460,7 +412,7 @@ static void repack_row_q4x4x2(uint8_t * y, const block_q4_0 * x, int64_t k) {
         d[7]          = x[i * 8 + 7].d;
     }
 
-    if (opt_verbose > 1) {
+    if (opt_verbose > 2) {
         for (int i = 0; i < nb; i++) {
             dump_packed_block_q4x4x2(y, i, k);
         }
@@ -479,7 +431,7 @@ static void unpack_row_q4x4x2(block_q4_0 * x, const uint8_t * y, int64_t k) {
     const uint8_t * y_q = y + 0;              // quants first
     const uint8_t * y_d = y + qrow_size;      // then scales
 
-    if (opt_verbose > 1) {
+    if (opt_verbose > 2) {
         for (int i = 0; i < nb; i++) {
             dump_packed_block_q4x4x2(y, i, k);
         }
@@ -795,7 +747,7 @@ static void repack_row_q8x4x2(uint8_t * y, const block_q8_0 * x, int64_t k) {
         d[7]          = x[i * 8 + 7].d;
     }
 
-    if (opt_verbose > 1) {
+    if (opt_verbose > 2) {
         for (int i = 0; i < nb; i++) {
             dump_packed_block_q8x4x2(y, i, k);
         }
@@ -813,7 +765,7 @@ static void unpack_row_q8x4x2(block_q8_0 * x, const uint8_t * y, int64_t k) {
     const uint8_t * y_q = y + 0;              // quants first
     const uint8_t * y_d = y + qrow_size;      // then scales
 
-    if (opt_verbose > 1) {
+    if (opt_verbose > 2) {
         for (int i = 0; i < nb; i++) {
             dump_packed_block_q8x4x2(y, i, k);
         }
@@ -1148,7 +1100,7 @@ static void repack_row_mxfp4x4x2(uint8_t * y, const block_mxfp4 * x, int64_t k)
         e[7]        = x[i * 8 + 7].e;
     }
 
-    if (opt_verbose > 1) {
+    if (opt_verbose > 2) {
         for (int i = 0; i < nb; i++) {
             dump_packed_block_mxfp4x4x2(y, i, k);
         }
@@ -1167,7 +1119,7 @@ static void unpack_row_mxfp4x4x2(block_mxfp4 * x, const uint8_t * y, int64_t k)
     const uint8_t * y_q = y + 0;              // quants first
     const uint8_t * y_e = y + qrow_size;      // then scales
 
-    if (opt_verbose > 1) {
+    if (opt_verbose > 2) {
         for (int i = 0; i < nb; i++) {
             dump_packed_block_mxfp4x4x2(y, i, k);
         }
@@ -1386,11 +1338,10 @@ static void ggml_backend_hexagon_buffer_set_tensor(ggml_backend_buffer_t buffer,
                                                    const void *          data,
                                                    size_t                offset,
                                                    size_t                size) {
-    auto ctx  = (ggml_backend_hexagon_buffer_context *) buffer->context;
-    auto sess = ctx->sess;
+    auto sbuf = (ggml_hexagon_shared_buffer *) buffer->context;
+    auto sess = sbuf->sess;
 
-    HEX_VERBOSE("ggml-hex: %s set-tensor %s : data %p offset %zu size %zu\n", sess->name.c_str(), tensor->name, data,
-                offset, size);
+    HEX_VERBOSE("ggml-hex: %s set-tensor %s : data %p offset %zu size %zu\n", sess->c_name(), tensor->name, data, offset, size);
 
     switch (tensor->type) {
         case GGML_TYPE_Q4_0:
@@ -1405,6 +1356,13 @@ static void ggml_backend_hexagon_buffer_set_tensor(ggml_backend_buffer_t buffer,
             repack_q8_0_q8x4x2(tensor, data, size);
             break;
 
+        case GGML_TYPE_IQ4_NL:
+            GGML_ASSERT(offset == 0);
+            GGML_ASSERT(offset + size <= ggml_nbytes(tensor));
+            // IQ4_NL has identical block layout to Q4_0 (ggml_half d + uint8_t qs[16])
+            repack_q4_0_q4x4x2(tensor, data, size);
+            break;
+
         case GGML_TYPE_MXFP4:
             GGML_ASSERT(offset == 0);
             GGML_ASSERT(offset + size <= ggml_nbytes(tensor));
@@ -1422,11 +1380,10 @@ static void ggml_backend_hexagon_buffer_get_tensor(ggml_backend_buffer_t buffer,
                                                    void *                data,
                                                    size_t                offset,
                                                    size_t                size) {
-    auto ctx  = (ggml_backend_hexagon_buffer_context *) buffer->context;
-    auto sess = ctx->sess;
+    auto sbuf = (ggml_hexagon_shared_buffer *) buffer->context;
+    auto sess = sbuf->sess;
 
-    HEX_VERBOSE("ggml-hex: %s get-tensor %s : data %p offset %zu size %zu\n", sess->name.c_str(), tensor->name, data,
-                offset, size);
+    HEX_VERBOSE("ggml-hex: %s get-tensor %s : data %p offset %zu size %zu\n", sess->c_name(), tensor->name, data, offset, size);
 
     switch (tensor->type) {
         case GGML_TYPE_Q4_0:
@@ -1441,6 +1398,12 @@ static void ggml_backend_hexagon_buffer_get_tensor(ggml_backend_buffer_t buffer,
             repack_q8x4x2_q8_0(data, tensor, size);
             break;
 
+        case GGML_TYPE_IQ4_NL:
+            GGML_ASSERT(offset == 0);
+            GGML_ASSERT(offset + size <= ggml_nbytes(tensor));
+            repack_q4x4x2_q4_0(data, tensor, size);
+            break;
+
         case GGML_TYPE_MXFP4:
             GGML_ASSERT(offset == 0);
             GGML_ASSERT(offset + size <= ggml_nbytes(tensor));
@@ -1464,10 +1427,10 @@ static bool ggml_backend_hexagon_buffer_cpy_tensor(ggml_backend_buffer_t      bu
 }
 
 static void ggml_backend_hexagon_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
-    auto ctx  = (ggml_backend_hexagon_buffer_context *) buffer->context;
-    auto sess = ctx->sess;
-    HEX_VERBOSE("ggml-hex: %s clear-buff base %p size %zu\n", sess->name.c_str(), (void *) ctx->base, ctx->size);
-    memset(ctx->base, value, ctx->size);
+    auto sbuf = (ggml_hexagon_shared_buffer *) buffer->context;
+    auto sess = sbuf->sess;
+    HEX_VERBOSE("ggml-hex: %s clear-buff base %p size %zu\n", sess->c_name(), (void *) sbuf->base, sbuf->size);
+    memset(sbuf->base, value, sbuf->size);
 }
 
 static ggml_backend_buffer_i ggml_backend_hexagon_buffer_interface = {
@@ -1477,6 +1440,8 @@ static ggml_backend_buffer_i ggml_backend_hexagon_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_hexagon_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_hexagon_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_hexagon_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_hexagon_buffer_clear,
     /* .reset           = */ NULL,
@@ -1492,10 +1457,10 @@ static ggml_backend_buffer_t ggml_backend_hexagon_buffer_type_alloc_buffer(
             ggml_backend_buffer_type_t buffer_type, size_t size) {
     auto sess = static_cast<ggml_backend_hexagon_buffer_type_context *>(buffer_type->context)->sess;
     try {
-        ggml_backend_hexagon_buffer_context * ctx = new ggml_backend_hexagon_buffer_context(sess, size, false /*repack*/);
-        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, ctx, size);
+        ggml_hexagon_shared_buffer * sbuf = new ggml_hexagon_shared_buffer(sess, size);
+        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, sbuf, size);
     } catch (const std::exception & exc) {
-        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context: %s\n", sess->name.c_str(), exc.what());
+        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context (host): %s\n", sess->c_name(), exc.what());
         return nullptr;
     }
 }
@@ -1504,10 +1469,10 @@ static ggml_backend_buffer_t ggml_backend_hexagon_repack_buffer_type_alloc_buffe
             ggml_backend_buffer_type_t buffer_type, size_t size) {
     auto sess = static_cast<ggml_backend_hexagon_buffer_type_context *>(buffer_type->context)->sess;
     try {
-        ggml_backend_hexagon_buffer_context * ctx = new ggml_backend_hexagon_buffer_context(sess, size, true /*repack*/);
-        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, ctx, size);
+        ggml_hexagon_shared_buffer * sbuf = new ggml_hexagon_shared_buffer(sess, size);
+        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, sbuf, size);
     } catch (const std::exception & exc) {
-        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context: %s\n", sess->name.c_str(), exc.what());
+        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context (repack): %s\n", sess->c_name(), exc.what());
         return nullptr;
     }
 }
@@ -1522,7 +1487,7 @@ static size_t ggml_backend_hexagon_buffer_type_get_alloc_size(ggml_backend_buffe
 }
 
 static size_t ggml_backend_hexagon_buffer_type_get_max_size(ggml_backend_buffer_type_t buffer_type) {
-    return 1 * 1024 * 1024 * 1024;  // 1GB per buffer
+    return 1UL * 1024 * 1024 * 1024;  // 1GB per buffer
     GGML_UNUSED(buffer_type);
 }
 
@@ -1554,6 +1519,373 @@ static ggml_backend_buffer_type_i ggml_backend_hexagon_repack_buffer_type_interf
     /* .is_host          = */ ggml_backend_hexagon_repack_buffer_type_is_host,
 };
 
+// Backend session implementation
+
+struct ggml_hexagon_opshm {
+    ggml_hexagon_shared_buffer *sbuf;
+
+    std::vector<bool> block_mask;
+    size_t            block_size;
+
+    uint8_t * base()     const { return this->sbuf->base; }
+    int       fd()       const { return this->sbuf->fd;   }
+    size_t    n_blocks() const { return this->block_mask.size(); }
+
+    ggml_hexagon_opshm(ggml_hexagon_session *sess, size_t max_batch, size_t max_pending) {
+        size_t n_bufs    = HTP_OP_MAX_BUFS;
+        size_t n_ops     = max_batch;
+        size_t n_tensors = n_ops + n_ops * HTP_OP_MAX_INPUTS;
+
+        block_mask.resize(max_pending, true);
+
+        block_size = sizeof(htp_buf_desc) * n_bufs    +
+                     sizeof(htp_tensor)   * n_tensors +
+                     sizeof(htp_op_desc)  * n_ops;
+
+        sbuf = new ggml_hexagon_shared_buffer(sess, block_size * block_mask.size(), true /* pinned */);
+
+        if (opt_verbose) {
+            GGML_LOG_INFO("ggml-hex: %s allocated shared buf %zu : block-size %zu max-batch %zu max-pending %zu\n",
+                    sess->c_name(), (size_t) sbuf->size, block_size, max_batch, max_pending);
+        }
+    }
+
+    ~ggml_hexagon_opshm() {
+        delete sbuf;
+    }
+
+    uint8_t * allocate() {
+        auto it = std::find(block_mask.begin(), block_mask.end(), true);
+        if (it == block_mask.end())
+            return nullptr;
+
+        unsigned int i = std::distance(block_mask.begin(), it);
+        uint8_t*  addr = sbuf->base + (i * block_size);
+        block_mask[i]  = false;
+
+        HEX_VERBOSE("ggml-hex: %s allocated op shm #%u %p\n", sbuf->sess->c_name(), i, (void*) addr);
+        return addr;
+    }
+
+    void release(uint8_t * addr) {
+        int i = (addr - sbuf->base) / block_size;
+        block_mask[i] = true;
+        HEX_VERBOSE("ggml-hex: %s released op shm #%u %p\n", sbuf->sess->c_name(), i, (void*) addr);
+    }
+};
+
+struct ggml_hexagon_opbatch {
+    const char* name;
+
+    std::vector<htp_buf_desc> buffers;
+    std::vector<htp_tensor>   tensors;
+    std::vector<htp_op_desc>  ops;
+
+    std::unordered_map<int, int>                b_map; // buffer fd   to index
+    std::unordered_map<const ggml_tensor*, int> t_map; // tensor ptr  to index
+    std::unordered_multimap<void*, int>         d_map; // tensor data to index
+
+    unsigned int n_bufs;     // num buffers in the batch
+    unsigned int n_tens;     // num tensors ...
+    unsigned int n_ops;      // num ops ...
+    size_t       b_vmem;     // sum of all buffer sizes
+
+    unsigned int n_bufs_max;
+    unsigned int n_tens_max;
+    unsigned int n_ops_max;
+    size_t       b_vmem_max;
+
+    void reset() {
+        n_bufs = 0;
+        n_tens = 0;
+        n_ops  = 0;
+        b_vmem = 0;
+
+        b_map.clear();
+        t_map.clear();
+        d_map.clear();
+    }
+
+    ggml_hexagon_opbatch(ggml_hexagon_session *sess, size_t max_batch) {
+        name = sess->c_name();
+
+        n_bufs_max = HTP_OP_MAX_BUFS;
+        n_ops_max  = max_batch;
+        n_tens_max = n_ops_max + n_ops_max * HTP_OP_MAX_INPUTS;
+
+        b_vmem_max = HTP_OP_MAX_VMEM;
+
+        buffers.resize(n_bufs_max);
+        tensors.resize(n_tens_max);
+        ops.resize(n_ops_max);
+
+        b_map.reserve(n_bufs_max);
+        t_map.reserve(n_tens_max);
+        d_map.reserve(n_tens_max);
+
+        reset();
+    }
+
+    bool empty() const { return n_ops == 0; }
+
+    // add buffer and return its index
+    int add_buffer(ggml_hexagon_shared_buffer * sbuf) {
+        // Lookup by fd
+        auto it = b_map.find(sbuf->fd);
+        if (it != b_map.end()) { return it->second; }
+
+        // Add new buffer to the batch
+        int bi = n_bufs++;
+        GGML_ASSERT(n_bufs < HTP_OP_MAX_BUFS);
+
+        b_map.insert({sbuf->fd, bi});
+
+        htp_buf_desc &b = buffers[bi];
+        b.base = (uint64_t) sbuf->base;
+        b.fd   = sbuf->fd;
+        b.size = sbuf->size;
+
+        b_vmem += b.size;
+
+        HEX_VERBOSE("ggml-hex: add-buffer #%u : fd %d base %p size %zu : vmem %zu\n", bi, b.fd, (void*) sbuf->base, (size_t) b.size, b_vmem);
+
+        return bi;
+    }
+
+    bool same_shape(const htp_tensor * h, const ggml_tensor * t) const {
+        return (h->ne[0] == t->ne[0]) && (h->ne[1] == t->ne[1]) && (h->ne[2] == t->ne[2]) && (h->ne[3] == t->ne[3]) &&
+               (h->nb[0] == t->nb[0]) && (h->nb[1] == t->nb[1]) && (h->nb[2] == t->nb[2]) && (h->nb[3] == t->nb[3]);
+    }
+
+    // add tensor and return its index
+    int add_tensor(const ggml_tensor * t) {
+        auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(t->buffer->context);
+
+        // First lookup by tensor data
+        auto range = d_map.equal_range(t->data);
+        for (auto it = range.first; it != range.second; ++it) {
+            htp_tensor * h = &tensors[it->second];
+            if (same_shape(h, t)) { return it->second; }
+        }
+
+        // Lookup by tensor ptr
+        auto it = t_map.find(t);
+        if (it != t_map.end()) { return it->second; }
+
+        // Add new tensor to the batch
+        int ti = n_tens++;
+        GGML_ASSERT(n_tens <= n_tens_max);
+
+        t_map.insert({t,       ti});
+        d_map.insert({t->data, ti});
+
+        uint64_t t_offset = (uint8_t *) t->data - sbuf->base;
+        size_t   t_size   = ggml_nbytes(t);
+
+        htp_tensor &h = tensors[ti];
+        h.bi    = add_buffer(sbuf);
+        h.data  = t_offset;
+        h.size  = t_size;
+        h.type  = t->type;
+        h.ne[0] = t->ne[0]; h.ne[1] = t->ne[1]; h.ne[2] = t->ne[2]; h.ne[3] = t->ne[3];
+        h.nb[0] = t->nb[0]; h.nb[1] = t->nb[1]; h.nb[2] = t->nb[2]; h.nb[3] = t->nb[3];
+
+        h.flags = 0;
+        if (ggml_backend_buffer_get_usage(t->buffer) == GGML_BACKEND_BUFFER_USAGE_COMPUTE) {
+            h.flags |= HTP_TENSOR_COMPUTE;
+        }
+
+        HEX_VERBOSE("ggml-hex: add-tensor #%u %s : bi %d data %p offset %zu size %zu flags 0x%x : %zu:%zu:%zu:%zu\n",
+                ti, t->name, h.bi, (void*) t->data, (size_t) t_offset, t_size, h.flags,
+                (size_t) t->ne[0], (size_t) t->ne[1], (size_t) t->ne[2], (size_t) t->ne[3]);
+
+        return ti;
+    }
+
+    bool fit_op(const struct ggml_tensor *t) const {
+        if (n_ops >= n_ops_max ) return false;
+
+        // check how much extras we will need
+        size_t extra_bufs = 0;
+        size_t extra_vmem = 0;
+        size_t extra_tens = 0;
+
+        auto fit_tensor = [&](const ggml_tensor *t) {
+            if (!t_map.count(t)) {
+                extra_tens++;
+
+                auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(t->buffer->context);
+                if (!b_map.count(sbuf->fd)) {
+                    extra_vmem += sbuf->size;
+                    extra_bufs += 1;
+                }
+            }
+        };
+
+        for (unsigned int i=0; i < HTP_OP_MAX_INPUTS && t->src[i]; i++) {
+            fit_tensor(t->src[i]);
+        }
+        fit_tensor(t);
+
+        if ((extra_bufs + n_bufs) > n_bufs_max) return false;
+        if ((extra_tens + n_tens) > n_tens_max) return false;
+        if ((extra_vmem + b_vmem) > b_vmem_max) return false;
+
+        return true;
+    }
+
+    // assumes that fit_op() was called first and returned true
+    void add_op(htp_op_code opcode, const struct ggml_tensor * t) {
+        // Add new op
+        htp_op_desc &o = ops[n_ops++];
+        GGML_ASSERT(n_ops <= n_ops_max);
+
+        memcpy(&o.params, &t->op_params, sizeof(t->op_params));
+        o.opcode = opcode;
+        o.flags  = 0;
+
+        if (!(opt_opmask & HTP_OPMASK_COMPUTE)) {
+            o.flags |= HTP_OPFLAGS_SKIP_COMPUTE;
+        }
+
+        ggml_hexagon_dump_op_exec(name, t, o.flags);
+
+        for (unsigned int i=0; i < HTP_OP_MAX_INPUTS; i++) {
+            o.src[i] = t->src[i] ? add_tensor(t->src[i]) : 0xffff;
+        }
+        o.dst = add_tensor(t);
+    }
+
+    size_t flush(uint8_t * mem_addr, size_t mem_size) {
+        static_assert(sizeof(htp_buf_desc) % 8 == 0, "sizeof(htp_buf_desc) must be multiple of 8");
+        static_assert(sizeof(htp_tensor)   % 8 == 0, "sizeof(htp_tensor) must be multiple of 8");
+        static_assert(sizeof(htp_op_desc)  % 8 == 0, "sizeof(htp_op_desc) must be multiple of 8");
+
+        const size_t b_size = sizeof(htp_buf_desc) * n_bufs;
+        const size_t t_size = sizeof(htp_tensor)   * n_tens;
+        const size_t o_size = sizeof(htp_op_desc)  * n_ops;
+
+        const size_t m_size = b_size + t_size + o_size;
+        GGML_ASSERT(m_size <= mem_size);
+
+        uint8_t * b_ptr = (uint8_t *) mem_addr;
+        uint8_t * t_ptr = (uint8_t *) b_ptr + b_size;
+        uint8_t * o_ptr = (uint8_t *) t_ptr + t_size;
+
+        memcpy(b_ptr, (void *) buffers.data(), b_size);
+        memcpy(t_ptr, (void *) tensors.data(), t_size);
+        memcpy(o_ptr, (void *) ops.data(),     o_size);
+
+        HEX_VERBOSE("ggml-hex: %s flush-opbatch : n-bufs %u n-tensors %u n-ops %u vmem %zu : b-size %zu t-size %zu o-size %zu\n",
+                name, n_bufs, n_tens, n_ops, b_vmem, b_size, t_size, o_size);
+
+        if (opt_verbose > 1) {
+            htp_buf_desc *b = (htp_buf_desc*) b_ptr;
+            for (unsigned int i=0; i < n_bufs; i++) {
+                GGML_LOG_DEBUG("ggml-hex: %s htp-buf #%u : fd %d base %p size %zu\n", name, i,
+                            b[i].fd, (void *) b[i].base, (size_t) b[i].size);
+            }
+            htp_tensor *t = (htp_tensor*) t_ptr;
+            for (unsigned int i=0; i < n_tens; i++) {
+                GGML_LOG_DEBUG("ggml-hex: %s htp-tensor #%u : bi %u offset %u size %u : %zu:%zu:%zu:%zu\n",
+                            name, i, t[i].bi, t[i].data, t[i].size,
+                            (size_t) t[i].ne[0], (size_t) t[i].ne[1], (size_t) t[i].ne[2], (size_t) t[i].ne[3]);
+            }
+        }
+
+        reset();
+
+        return m_size;
+    }
+};
+
+// Flush HTP response queue i.e wait for all outstanding requests to complete
+void ggml_hexagon_session::flush_pending(bool all) {
+    while (this->op_pending) {
+        struct htp_opbatch_rsp rsp;
+        uint32_t               rsp_size;
+        uint32_t               flags;
+
+        struct dspqueue_buffer dbuf;
+        uint32_t               n_dbufs;
+
+        // Read response packet from queue
+        int err = dspqueue_read(this->queue, &flags, 1, &n_dbufs, &dbuf, sizeof(rsp), &rsp_size, (uint8_t *) &rsp, DSPQUEUE_TIMEOUT);
+        if (err == AEE_EEXPIRED) {
+            continue;
+        }
+
+        if (err != 0) {
+            GGML_ABORT("ggml-hex: dspqueue_read failed: 0x%08x\n", (unsigned) err);
+        }
+
+        // Basic sanity checks
+        if (rsp_size != sizeof(rsp) || n_dbufs != 1) {
+            GGML_ABORT("ggml-hex: %s dspcall : bad response : size %u dspbufs %u\n", this->c_name(), rsp_size, n_dbufs);
+        }
+
+        op_shm->release((uint8_t*) dbuf.ptr);
+
+        if (rsp.status != HTP_STATUS_OK) {
+            GGML_LOG_ERROR("ggml-hex: %s dspcall : dsp-rsp: %s\n", this->c_name(), status_to_str(rsp.status));
+            // TODO: handle errors
+        }
+
+        // FIXME: profile will be per opreq
+        // this->prof_usecs  = rsp.prof_usecs;
+        // this->prof_cycles = rsp.prof_cycles;
+        // this->prof_pkts   = rsp.prof_pkts;
+
+        this->op_pending--;  // atomic dec
+
+        if (!all) break;
+    }
+}
+
+void ggml_hexagon_session::flush_batch() {
+    if (op_batch->empty()) { return; }
+
+    htp_opbatch_req req;
+    req.n_bufs    = op_batch->n_bufs;
+    req.n_tensors = op_batch->n_tens;
+    req.n_ops     = op_batch->n_ops;
+
+    dspqueue_buffer dbuf;
+    dbuf.fd     = op_shm->fd();
+    dbuf.flags  = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT;
+    dbuf.ptr    = op_shm->allocate();
+    if (!dbuf.ptr) {
+        flush_pending(false);
+        dbuf.ptr = op_shm->allocate();
+    }
+
+    dbuf.offset = (uint8_t*) dbuf.ptr - (uint8_t*) op_shm->base();
+    dbuf.size   = op_batch->flush((uint8_t*) dbuf.ptr, op_shm->block_size);
+
+    // Bump pending flag (cleared in the session::flush once we get the response)
+    this->op_pending++;  // atomic inc
+
+    HEX_VERBOSE("ggml-hex: %s: queue-opbatch : %p size %u\n", this->c_name(), dbuf.ptr, dbuf.size);
+
+    int err = dspqueue_write(this->queue, 0, 1, &dbuf, sizeof(req), (const uint8_t*) &req, DSPQUEUE_TIMEOUT);
+    if (err != 0) {
+        GGML_ABORT("ggml-hex: %s dspqueue_write failed: 0x%08x\n", this->c_name(), (unsigned) err);
+    }
+}
+
+void ggml_hexagon_session::enqueue_op(htp_op_code opcode, const ggml_tensor *op) {
+    if (!op_batch->fit_op(op)) {
+        flush_batch();
+    }
+    op_batch->add_op(opcode, op);
+}
+
+// Flush HTP response queue i.e wait for all outstanding requests to complete
+void ggml_hexagon_session::flush(bool all) {
+    flush_batch();
+    flush_pending(all);
+}
+
 void ggml_hexagon_session::allocate(int dev_id) noexcept(false) {
     this->valid_session = false;
     this->valid_handle  = false;
@@ -1566,9 +1898,6 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) {
     this->name       = std::string("HTP") + std::to_string(dev_id);
 
     this->op_pending  = 0;
-    this->prof_usecs  = 0;
-    this->prof_cycles = 0;
-    this->prof_pkts   = 0;
 
     GGML_LOG_INFO("ggml-hex: allocating new session: %s\n", this->name.c_str());
 
@@ -1660,11 +1989,14 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) {
         }
     }
 
+    const size_t req_q_size = (sizeof(htp_opbatch_req) * opt_opqueue * 2) + 1024;
+    const size_t rsp_q_size = (sizeof(htp_opbatch_rsp) * opt_opqueue * 2) + 1024;
+
     // Now let's setup the DSP queue
     err = dspqueue_create(this->domain_id,
                           0,              // Flags
-                          128 * 1024,     // Request  queue size (in bytes)
-                          64 * 1024,      // Response queue size (in bytes)
+                          req_q_size,     // Request  queue size (in bytes)
+                          rsp_q_size,     // Response queue size (in bytes)
                           nullptr,        // Read packet callback (we handle reads explicitly)
                           nullptr,        // Error callback (we handle errors during reads)
                           (void *) this,  // Callback context
@@ -1693,12 +2025,16 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) {
     // Start the DSP-side service. We need to pass the queue ID to the
     // DSP in a FastRPC call; the DSP side will import the queue and start
     // listening for packets in a callback.
-    err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx);
+    err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx, opt_use_hmx);
     if (err != 0) {
         GGML_LOG_ERROR("ggml-hex: failed to start session: 0x%08x\n", (unsigned) err);
         throw std::runtime_error("ggml-hex: iface start failed (see log for details)");
     }
     this->valid_iface = true;
+
+    // Allocate buffers and state for op batching
+    this->op_batch = new ggml_hexagon_opbatch(this, opt_opbatch);
+    this->op_shm   = new ggml_hexagon_opshm(this, opt_opbatch, opt_opqueue);
 }
 
 void ggml_hexagon_session::release() noexcept(true) {
@@ -1706,6 +2042,9 @@ void ggml_hexagon_session::release() noexcept(true) {
 
     int err;
 
+    delete this->op_batch;
+    delete this->op_shm;
+
     // Stop the DSP-side service and close the queue
     if (this->valid_iface) {
         err = htp_iface_stop(this->handle);
@@ -1737,6 +2076,9 @@ ggml_hexagon_session::ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) n
     buffer_type.device        = dev;
     repack_buffer_type.device = dev;
 
+    op_batch = nullptr;
+    op_shm   = nullptr;
+
     try {
         allocate(dev_id);
 
@@ -1799,9 +2141,13 @@ static bool ggml_hexagon_supported_flash_attn_ext(const struct ggml_hexagon_sess
         return false;
     }
 
-    return opt_experimental;
-}
+    if (dst->ne[2] != 1 || dst->ne[3] != 1) {
+        // FA during prompt still needs work
+        return false;
+    }
 
+    return true;
+}
 
 static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * sess, const struct ggml_tensor * dst) {
     const struct ggml_tensor * src0 = dst->src[0];
@@ -1818,6 +2164,7 @@ static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * s
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q8_0:
+        case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
             if (src0->ne[0] % 32) {
                 return false;
@@ -1867,6 +2214,7 @@ static bool ggml_hexagon_supported_mul_mat_id(const struct ggml_hexagon_session
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q8_0:
+        case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
             if ((src0->ne[0] % 32)) {
                 return false;
@@ -2064,6 +2412,23 @@ static bool ggml_hexagon_supported_softmax(const struct ggml_hexagon_session * s
         }
     }
 
+    // Reject non-HVX-aligned sizes when ne[0] > HVX_F32_LANES
+    // The HVX softmax implementation has issues with tail handling for larger non-aligned sizes
+    // Small sizes (ne[0] <= 32) work correctly with tail-only processing
+    const int64_t ne0 = src0->ne[0];
+    if (ne0 > 32 && (ne0 & (32 - 1)) != 0) {
+        return false;
+    }
+
+    // HVX vector size constraints for softmax
+    #define SOFTMAX_MAX_ROW_SIZE 131072  // 128K elements max for numerical precision
+
+    // Reject very large row sizes to avoid numerical precision issues
+    // Softmax accumulation over many elements can lead to precision loss
+    if (ne0 > SOFTMAX_MAX_ROW_SIZE) {
+        return false;
+    }
+
     return true;
 }
 
@@ -2215,539 +2580,101 @@ static bool ggml_hexagon_supported_ssm_conv(const struct ggml_hexagon_session *
     return true;
 }
 
-enum dspqbuf_type {
-    DSPQBUF_TYPE_DSP_WRITE_CPU_READ = 0,
-    DSPQBUF_TYPE_CPU_WRITE_DSP_READ,
-    DSPQBUF_TYPE_CONSTANT,
-};
-
-static void dspqbuf_dump(dspqueue_buffer * d, const struct ggml_tensor * t, dspqbuf_type type) {
-    if (opt_verbose < 2) return;
-
-    auto buf  = static_cast<ggml_backend_hexagon_buffer_context *>(t->buffer->context);
-    auto sess = buf->sess;
-
-    GGML_LOG_DEBUG("ggml-hex: %s dspqbuf : %s base-addr %p base-size %zu data %p offset %u size %u\n", sess->name.c_str(),
-                t->name, (void *) buf->base, buf->size, (void *) d->ptr, (unsigned int) d->offset,
-                (unsigned int) d->size);
-}
-
-// Init hexagon tensor from GGML tensor and Hexagon buffer
-static void htp_req_tensor_init(htp_tensor * h, const ggml_tensor * t) {
-    h->data  = 0;  // updated by the receiver
-    h->type  = t->type;
-    h->ne[0] = t->ne[0];
-    h->ne[1] = t->ne[1];
-    h->ne[2] = t->ne[2];
-    h->ne[3] = t->ne[3];
-    h->nb[0] = t->nb[0];
-    h->nb[1] = t->nb[1];
-    h->nb[2] = t->nb[2];
-    h->nb[3] = t->nb[3];
-}
-
-static size_t htp_req_buff_init(htp_tensor *h, dspqueue_buffer * d, const ggml_tensor * t, dspqbuf_type type) {
-    if (!t) {
-        return 0;
-    }
-
-    auto buf = static_cast<ggml_backend_hexagon_buffer_context *>(t->buffer->context);
-
-    memset(d, 0, sizeof(*d));
-    d->fd     = buf->fd;
-    d->ptr    = t->data;
-    d->offset = (uint8_t *) t->data - buf->base;
-    d->size   = ggml_nbytes(t);
-
-    if (!d->size) {
-        // Some requests contain srcs where ggml_nbytes() returns 0 but the rest of the op is non-empty
-        d->size = 64;
-    }
-
-    switch (type) {
-        case DSPQBUF_TYPE_DSP_WRITE_CPU_READ:
-            // Flush CPU
-            d->flags = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER;
-            break;
-        case DSPQBUF_TYPE_CPU_WRITE_DSP_READ:
-            // Flush CPU, Invalidate DSP
-            d->flags = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT;
-            break;
-        default:
-            // Constant buffer, no cache maintenance
-            d->flags = 0;
-            break;
-    }
-
-    htp_req_tensor_init(h, t);
-
-    dspqbuf_dump(d, t, type);
-
-    return 1;
-}
-
-typedef size_t (*htp_req_init_func_t)(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * op);
-
-template <htp_req_init_func_t _init_req_func>
-static inline void ggml_hexagon_dispatch_op(ggml_hexagon_session *sess, const struct ggml_tensor * op, uint32_t flags) {
-    uint64_t t = ggml_time_us();
-
-    // Construct HTP request
-    htp_general_req req;
-    memset(&req, 0, sizeof(req));
-
-    req.flags = flags;
-    if (!(opt_opmask & HTP_OPMASK_QUANTIZE)) {
-        req.flags |= HTP_OPFLAGS_SKIP_QUANTIZE;
-    }
-    if (!(opt_opmask & HTP_OPMASK_COMPUTE)) {
-        req.flags |= HTP_OPFLAGS_SKIP_COMPUTE;
-    }
-
-    ggml_hexagon_dump_op_exec(sess->name, op, req.flags);
+static bool ggml_hexagon_supported_cumsum(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0];
+    const struct ggml_tensor * dst  = op;
 
-    if ((opt_opmask & HTP_OPMASK_QUEUE)) {
-        dspqueue_buffer bufs[HTP_MAX_PACKET_BUFFERS];
-        size_t n_bufs = _init_req_func(&req, bufs, op);
-        sess->enqueue(req, bufs, n_bufs, opt_opsync);
+    if (src0->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
+        return false;
     }
 
-    t = ggml_time_us() - t;
-
-    ggml_hexagon_dump_op_prof(sess->name, op, sess->prof_usecs, sess->prof_cycles, sess->prof_pkts, t);
-}
-
-template <bool _is_src0_constant>
-static inline size_t init_binary_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    switch (t->op) {
-        case GGML_OP_MUL_MAT:
-            req->op = HTP_OP_MUL_MAT;
-            break;
-        case GGML_OP_MUL:
-            req->op = HTP_OP_MUL;
-            break;
-        case GGML_OP_ADD:
-            req->op = HTP_OP_ADD;
-            break;
-        case GGML_OP_SUB:
-            req->op = HTP_OP_SUB;
-            break;
-        case GGML_OP_DIV:
-            req->op = HTP_OP_DIV;
-            break;
-        default:
-            GGML_ABORT("ggml-hex: binary : unsupported op: %d\n", t->op);
-            break;
+    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(dst)) {
+        return false;
     }
 
-    // src0: Weights (mulmat) or First Operand (binary op).
-    // If constant (e.g. weights), no cache management is needed.
-    // src1: Input Activations (mulmat) or Second Operand (binary op).
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], _is_src0_constant ? DSPQBUF_TYPE_CONSTANT : DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_cpy_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_CPY;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_cont_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    // CONT is just a contiguous copy — reuse CPY op
-    req->op = HTP_OP_CPY;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_repeat_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_REPEAT;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_get_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_GET_ROWS;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_argsort_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_ARGSORT;
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
+    GGML_UNUSED(sess);
+    return true;
 }
 
-template <bool _is_src0_constant>
-static inline size_t init_binary_id_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    switch (t->op) {
-        case GGML_OP_MUL_MAT_ID:
-            req->op = HTP_OP_MUL_MAT_ID;
-            break;
-        case GGML_OP_ADD_ID:
-            req->op = HTP_OP_ADD_ID;
-            break;
-        default:
-            GGML_ABORT("ggml-hex: unsupported op: %d\n", t->op);
-    }
-
-    // src0: Weights (mulmat) or Input Activations (other op).
-    // If constant, no cache management is needed.
-    // src1: Input Activations (mulmat) or Second Operand (binary op).
-    // src2: Expert IDs (mulmat) or Activated Experts (other op).
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], _is_src0_constant ? DSPQBUF_TYPE_CONSTANT : DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src2, &bufs[n_bufs], t->src[2], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
+static const char * ggml_backend_hexagon_name(ggml_backend_t backend) {
+    auto sess = static_cast<ggml_hexagon_session *>(backend->context);
+    return sess->c_name();
 }
 
-static inline size_t init_set_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_SET_ROWS;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
+static void ggml_backend_hexagon_free(ggml_backend_t backend) {
+    // we just need to delete the backend here
+    // the sessions are allocated & freed as part of the registry
+    delete backend;
 }
 
-static inline size_t init_unary_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-
-    bool supported = false;
-
+static htp_op_code op_remap_to_htp(const ggml_tensor * t) {
     switch (t->op) {
-        case GGML_OP_RMS_NORM:
-            req->op   = HTP_OP_RMS_NORM;
-            supported = true;
-            break;
-
-        case GGML_OP_SCALE:
-            req->op   = HTP_OP_SCALE;
-            supported = true;
-            break;
-
-        case GGML_OP_SQR:
-            req->op   = HTP_OP_SQR;
-            supported = true;
-            break;
-
-        case GGML_OP_SQRT:
-            req->op   = HTP_OP_SQRT;
-            supported = true;
-            break;
+        case GGML_OP_FLASH_ATTN_EXT: return HTP_OP_FLASH_ATTN_EXT;
+        case GGML_OP_MUL_MAT:        return HTP_OP_MUL_MAT;
+        case GGML_OP_MUL_MAT_ID:     return HTP_OP_MUL_MAT_ID;
+        case GGML_OP_MUL:            return HTP_OP_MUL;
+        case GGML_OP_ADD:            return HTP_OP_ADD;
+        case GGML_OP_ADD_ID:         return HTP_OP_ADD_ID;
+        case GGML_OP_SUB:            return HTP_OP_SUB;
+        case GGML_OP_DIV:            return HTP_OP_DIV;
+        case GGML_OP_CPY:            return HTP_OP_CPY;
+        case GGML_OP_CONT:           return HTP_OP_CPY;
+        case GGML_OP_GET_ROWS:       return HTP_OP_GET_ROWS;
+        case GGML_OP_SET_ROWS:       return HTP_OP_SET_ROWS;
+        case GGML_OP_SUM_ROWS:       return HTP_OP_SUM_ROWS;
+        case GGML_OP_ARGSORT:        return HTP_OP_ARGSORT;
+        case GGML_OP_RMS_NORM:       return HTP_OP_RMS_NORM;
+        case GGML_OP_SCALE:          return HTP_OP_SCALE;
+        case GGML_OP_SQR:            return HTP_OP_SQR;
+        case GGML_OP_SQRT:           return HTP_OP_SQRT;
+        case GGML_OP_SOFT_MAX:       return HTP_OP_SOFTMAX;
+        case GGML_OP_SSM_CONV:       return HTP_OP_SSM_CONV;
+        case GGML_OP_ROPE:           return HTP_OP_ROPE;
+        case GGML_OP_REPEAT:         return HTP_OP_REPEAT;
+        case GGML_OP_CUMSUM:         return HTP_OP_CUMSUM;
 
         case GGML_OP_UNARY:
             switch (ggml_get_unary_op(t)) {
-            case GGML_UNARY_OP_SILU:
-                req->op   = HTP_OP_UNARY_SILU;
-                supported = true;
-                break;
-            case  GGML_UNARY_OP_GELU:
-                req->op   = HTP_OP_UNARY_GELU;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_SIGMOID:
-                req->op   = HTP_OP_UNARY_SIGMOID;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_NEG:
-                req->op   = HTP_OP_UNARY_NEG;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_EXP:
-                req->op   = HTP_OP_UNARY_EXP;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_SOFTPLUS:
-                req->op   = HTP_OP_UNARY_SOFTPLUS;
-                supported = true;
-                break;
+                case GGML_UNARY_OP_SILU:     return HTP_OP_UNARY_SILU;
+                case GGML_UNARY_OP_GELU:     return HTP_OP_UNARY_GELU;
+                case GGML_UNARY_OP_SIGMOID:  return HTP_OP_UNARY_SIGMOID;
+                case GGML_UNARY_OP_NEG:      return HTP_OP_UNARY_NEG;
+                case GGML_UNARY_OP_EXP:      return HTP_OP_UNARY_EXP;
+                case GGML_UNARY_OP_SOFTPLUS: return HTP_OP_UNARY_SOFTPLUS;
             default:
                 break;
             }
             break;
 
         case GGML_OP_GLU:
-            if (ggml_get_glu_op(t) == GGML_GLU_OP_SWIGLU) {
-                req->op   = HTP_OP_GLU_SWIGLU;
-                supported = true;
-            } else if (ggml_get_glu_op(t) == GGML_GLU_OP_SWIGLU_OAI) {
-                req->op   = HTP_OP_GLU_SWIGLU_OAI;
-                supported = true;
-            } else if (ggml_get_glu_op(t) == GGML_GLU_OP_GEGLU) {
-                req->op   = HTP_OP_GLU_GEGLU;
-                supported = true;
+            switch (ggml_get_glu_op(t)) {
+                case GGML_GLU_OP_SWIGLU:     return HTP_OP_GLU_SWIGLU;
+                case GGML_GLU_OP_SWIGLU_OAI: return HTP_OP_GLU_SWIGLU_OAI;
+                case GGML_GLU_OP_GEGLU:      return HTP_OP_GLU_GEGLU;
+                default: break;
             }
             break;
 
-        case GGML_OP_SOFT_MAX:
-            req->op   = HTP_OP_SOFTMAX;
-            supported = true;
-            break;
-
         default:
-            break;
-    }
-
-    if (!supported) {
-        GGML_ABORT("ggml-hex: unary : unsupported op: %d\n", t->op);
+            GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(t));
     }
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
+    return HTP_OP_INVALID;
 }
 
-static inline size_t init_sum_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-    req->op = HTP_OP_SUM_ROWS;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_rope_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-    req->op = HTP_OP_ROPE;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src2, &bufs[n_bufs], t->src[2], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_flash_attn_ext_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-    req->op = HTP_OP_FLASH_ATTN_EXT;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src2, &bufs[n_bufs], t->src[2], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src3, &bufs[n_bufs], t->src[3], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src4, &bufs[n_bufs], t->src[4], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_ssm_conv_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_SSM_CONV;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CONSTANT);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static const char * ggml_backend_hexagon_name(ggml_backend_t backend) {
-    auto sess = static_cast<ggml_hexagon_session *>(backend->context);
-    return sess->name.c_str();
-}
-
-static void ggml_backend_hexagon_free(ggml_backend_t backend) {
-    // we just need to delete the backend here
-    // the sessions are allocated & freed as part of the registry
-    delete backend;
-}
-
-static inline bool op_reuse_src1(const ggml_tensor * op1, const ggml_tensor * op0) {
-    return (op0 && op0->src[1] == op1->src[1] && ggml_is_quantized(op0->src[0]->type));
-}
-
-static inline bool is_compute_op(ggml_tensor *node)
+static inline bool op_is_compute(ggml_tensor *node)
 {
     return !ggml_op_is_empty(node->op) && !ggml_is_empty(node) && (node->flags & GGML_TENSOR_FLAG_COMPUTE);
 }
 
-// scan the graph and figure out last compute op index
-static inline int last_compute_op(ggml_cgraph * graph) {
-    int last = 0;
-    for (int i = 0; i < graph->n_nodes; ++i) {
-        if (is_compute_op(graph->nodes[i])) {
-            last = i;
-        }
-    }
-
-    return last;
-}
-
 static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, ggml_cgraph * graph) {
     auto sess = static_cast<ggml_hexagon_session *>(backend->context);
 
-    HEX_VERBOSE("ggml-hex: %s graph-compute n_nodes %d\n", sess->name.c_str(), graph->n_nodes);
-
-    const int last = last_compute_op(graph);
-
-    const struct ggml_tensor * prev_op = nullptr;  // prev executed op
+    HEX_VERBOSE("ggml-hex: %s graph-compute n_nodes %d\n", sess->c_name(), graph->n_nodes);
 
     for (int i = 0; i < graph->n_nodes; ++i) {
-        ggml_tensor * node = graph->nodes[i];
-
-        if (!is_compute_op(node)) {
-            continue;
-        }
-
-        uint32_t flags = 0;
-
-        // skip quantizer if src1 is reused
-        if (op_reuse_src1(node, prev_op)) {
-            flags |= HTP_OPFLAGS_SKIP_QUANTIZE;
-        }
-
-        prev_op = node;
-
-        // ask for early notification for the last Op
-        if (i == last) {
-            flags |= HTP_OPFLAGS_EARLY_WAKEUP;
-        }
-
-        switch (node->op) {
-            case GGML_OP_MUL_MAT:
-                if (ggml_is_quantized(node->src[0]->type)) {
-                    ggml_hexagon_dispatch_op<init_binary_req<true>>(sess, node, flags);
-                } else {
-                    ggml_hexagon_dispatch_op<init_binary_req<false>>(sess, node, flags);
-                }
-                break;
-            case GGML_OP_MUL_MAT_ID:
-                if (ggml_is_quantized(node->src[0]->type)) {
-                    ggml_hexagon_dispatch_op<init_binary_id_req<true>>(sess, node, flags);
-                } else {
-                    ggml_hexagon_dispatch_op<init_binary_id_req<false>>(sess, node, flags);
-                }
-                break;
-            case GGML_OP_MUL:
-            case GGML_OP_ADD:
-            case GGML_OP_SUB:
-            case GGML_OP_DIV:
-                ggml_hexagon_dispatch_op<init_binary_req<false>>(sess, node, flags);
-                break;
-            case GGML_OP_ADD_ID:
-                ggml_hexagon_dispatch_op<init_binary_id_req<false>>(sess, node, flags);
-                break;
-            case GGML_OP_RMS_NORM:
-            case GGML_OP_SCALE:
-                ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                break;
-            case GGML_OP_SQR:
-            case GGML_OP_SQRT:
-                ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                break;
-            case GGML_OP_SUM_ROWS:
-                ggml_hexagon_dispatch_op<init_sum_rows_req>(sess, node, flags);
-                break;
-            case GGML_OP_UNARY:
-                switch (ggml_get_unary_op(node)) {
-                    case GGML_UNARY_OP_NEG:
-                    case GGML_UNARY_OP_EXP:
-                    case GGML_UNARY_OP_SIGMOID:
-                    case GGML_UNARY_OP_SOFTPLUS:
-                    case GGML_UNARY_OP_SILU:
-                    case GGML_UNARY_OP_GELU:
-                        ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                        break;
-                    default:
-                        break;
-                }
-                break;
-            case GGML_OP_GLU:
-                switch (ggml_get_glu_op(node)) {
-                    case GGML_GLU_OP_SWIGLU:
-                    case GGML_GLU_OP_SWIGLU_OAI:
-                    case GGML_GLU_OP_GEGLU:
-                        ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                        break;
-                    default:
-                        break;
-                }
-                break;
-            case GGML_OP_SOFT_MAX:
-                ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_ROPE:
-                ggml_hexagon_dispatch_op<init_rope_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_FLASH_ATTN_EXT:
-                ggml_hexagon_dispatch_op<init_flash_attn_ext_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_SET_ROWS:
-                ggml_hexagon_dispatch_op<init_set_rows_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_GET_ROWS:
-                ggml_hexagon_dispatch_op<init_get_rows_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_CPY:
-                ggml_hexagon_dispatch_op<init_cpy_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_CONT:
-                ggml_hexagon_dispatch_op<init_cont_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_REPEAT:
-                ggml_hexagon_dispatch_op<init_repeat_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_ARGSORT:
-                ggml_hexagon_dispatch_op<init_argsort_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_SSM_CONV:
-                ggml_hexagon_dispatch_op<init_ssm_conv_req>(sess, node, flags);
-                break;
-
-            default:
-                GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(node));
+        ggml_tensor * n = graph->nodes[i];
+        if (op_is_compute(n)) {
+            sess->enqueue_op(op_remap_to_htp(n), n);
         }
     }
 
@@ -2760,7 +2687,7 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
 static void ggml_backend_hexagon_synchronize(ggml_backend_t backend) {
     auto sess = static_cast<ggml_hexagon_session *>(backend->context);
 
-    HEX_VERBOSE("ggml-hex: %s synchronize\n", sess->name.c_str());
+    HEX_VERBOSE("ggml-hex: %s synchronize\n", sess->c_name());
 
     // Wait until all pending ops complete
     sess->flush();
@@ -2938,6 +2865,8 @@ static struct ggml_backend_i hexagon_backend_i = {
     /* .free                    = */ ggml_backend_hexagon_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ ggml_backend_hexagon_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -2977,7 +2906,7 @@ static ggml_backend_t ggml_backend_hexagon_device_init(ggml_backend_dev_t dev, c
 
 static const char * ggml_backend_hexagon_device_get_name(ggml_backend_dev_t dev) {
     auto sess = static_cast<ggml_hexagon_session *>(dev->context);
-    return sess->name.c_str();
+    return sess->c_name();
 
     GGML_UNUSED(dev);
 }
@@ -2988,8 +2917,7 @@ static const char * ggml_backend_hexagon_device_get_description(ggml_backend_dev
 }
 
 static void ggml_backend_hexagon_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
-    // ~2GB per session for now
-    *free  = 2ULL * 1024 * 1024 * 1024;
+    *free  = 0;
     *total = *free;
 
     GGML_UNUSED(dev);
@@ -3104,6 +3032,11 @@ static bool ggml_hexagon_supported_repeat(const struct ggml_hexagon_session * se
 static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) {
     auto sess = static_cast<ggml_hexagon_session *>(dev->context);
 
+    // reject ops that match the filter
+    if (opt_opfilter && std::regex_match(ggml_op_desc(op), *opt_opfilter)) {
+        return false;
+    }
+
     // all srcs & dsts must be mapped to the same session
     if (!ggml_hexagon_supported_buffers(sess, op)) {
         ggml_hexagon_dump_op_supp(sess->name, op, false);
@@ -3120,6 +3053,13 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = true;
             break;
 
+        case GGML_OP_MUL:
+        case GGML_OP_ADD:
+        case GGML_OP_SUB:
+        case GGML_OP_DIV:
+            supp = ggml_hexagon_supported_binary(sess, op);
+            break;
+
         case GGML_OP_MUL_MAT:
             supp = ggml_hexagon_supported_mul_mat(sess, op);
             break;
@@ -3128,13 +3068,6 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = ggml_hexagon_supported_mul_mat_id(sess, op);
             break;
 
-        case GGML_OP_MUL:
-        case GGML_OP_ADD:
-        case GGML_OP_SUB:
-        case GGML_OP_DIV:
-            supp = ggml_hexagon_supported_binary(sess, op);
-            break;
-
         case GGML_OP_ADD_ID:
             supp = ggml_hexagon_supported_add_id(sess, op);
             break;
@@ -3173,6 +3106,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
                     break;
             }
             break;
+
         case GGML_OP_GLU:
             switch (ggml_get_glu_op(op)) {
                 case GGML_GLU_OP_SWIGLU:
@@ -3184,6 +3118,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
                     break;
             }
             break;
+
         case GGML_OP_ROPE:
             supp = ggml_hexagon_supported_rope(sess, op);
             break;
@@ -3220,6 +3155,10 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = ggml_hexagon_supported_ssm_conv(sess, op);
             break;
 
+        case GGML_OP_CUMSUM:
+            supp = ggml_hexagon_supported_cumsum(sess, op);
+            break;
+
         default:
             break;
     }
@@ -3363,27 +3302,38 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) {
                   "please update hexagon_type to match ggml_type");
     static_assert((unsigned int) HTP_TYPE_MXFP4 == (unsigned int) GGML_TYPE_MXFP4,
                   "please update hexagon_type to match ggml_type");
+    static_assert((unsigned int) HTP_TYPE_IQ4_NL == (unsigned int) GGML_TYPE_IQ4_NL,
+                  "please update hexagon_type to match ggml_type");
 
-    const char * str_experimental = getenv("GGML_HEXAGON_EXPERIMENTAL");
     const char * str_verbose = getenv("GGML_HEXAGON_VERBOSE");
     const char * str_hostbuf = getenv("GGML_HEXAGON_HOSTBUF");
     const char * str_opmask  = getenv("GGML_HEXAGON_OPMASK");
     const char * str_opsync  = getenv("GGML_HEXAGON_OPSYNC");
+    const char * str_opbatch = getenv("GGML_HEXAGON_OPBATCH");
+    const char * str_opqueue = getenv("GGML_HEXAGON_OPQUEUE");
+    const char * str_opfilter= getenv("GGML_HEXAGON_OPFILTER");
     const char * str_profile = getenv("GGML_HEXAGON_PROFILE");
     const char * str_etm     = getenv("GGML_HEXAGON_ETM");
     const char * str_nhvx    = getenv("GGML_HEXAGON_NHVX");
+    const char * str_use_hmx = getenv("GGML_HEXAGON_USE_HMX");
     const char * str_ndev    = getenv("GGML_HEXAGON_NDEV");
     const char * str_arch    = getenv("GGML_HEXAGON_ARCH");
 
-    opt_experimental = str_experimental ? atoi(str_experimental) : 0;
+    auto RE_ICASE = std::regex_constants::icase;
+
+    opt_opfilter     = str_opfilter     ? new std::regex(str_opfilter, RE_ICASE) : NULL;
     opt_verbose      = str_verbose ? atoi(str_verbose) : 0;
     opt_hostbuf      = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf;
-    opt_opmask       = str_opmask  ? strtoul(str_opmask, NULL, 0) : opt_opmask;
-    opt_opsync       = str_opsync  ? atoi(str_opsync)  : 0;
+    opt_opmask       = str_opmask  ? strtoul(str_opmask, NULL, 0)  : opt_opmask;
+    opt_opsync       = str_opsync  ? atoi(str_opsync)              : opt_opsync;
+    opt_opbatch      = str_opbatch ? strtoul(str_opbatch, NULL, 0) : opt_opbatch;
+    opt_opqueue      = str_opqueue ? strtoul(str_opqueue, NULL, 0) : opt_opqueue;
     opt_profile      = str_profile ? atoi(str_profile) : 0;
-    opt_etm          = str_etm     ? atoi(str_etm) : 0;
+    opt_etm          = str_etm     ? atoi(str_etm)     : 0;
     opt_nhvx         = str_nhvx    ? strtoul(str_nhvx, NULL, 0) : opt_nhvx;
+    opt_use_hmx      = str_use_hmx ? atoi(str_use_hmx) : opt_use_hmx;
     opt_ndev         = str_ndev    ? strtoul(str_ndev, NULL, 0) : opt_ndev;
+    opt_hostbuf      = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf;
 
     if (opt_ndev > GGML_HEXAGON_MAX_SESSIONS) {
         opt_ndev = GGML_HEXAGON_MAX_SESSIONS;
@@ -3396,12 +3346,7 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) {
         opt_arch = strtoul(str_arch, NULL, 0);
     }
 
-    opt_hostbuf = str_hostbuf ? atoi(str_hostbuf) : 1;
-
     reg->context = new ggml_hexagon_registry(reg);
-
-    HEX_VERBOSE("ggml-hex: size-of-general-req %zu size-of-general-rsp %zu\n", sizeof(struct htp_general_req),
-                sizeof(struct htp_general_rsp));
 }
 
 static const struct ggml_backend_reg_i ggml_backend_hexagon_reg_i = {
diff --git a/ggml/src/ggml-hexagon/htp/CMakeLists.txt b/ggml/src/ggml-hexagon/htp/CMakeLists.txt
index a490a2ce9a167a975da4ba507604e8daf3228065..8a8829f82a65cd78278aac1a7e557e7dd44f15bf 100644
--- a/ggml/src/ggml-hexagon/htp/CMakeLists.txt
+++ b/ggml/src/ggml-hexagon/htp/CMakeLists.txt
@@ -1,47 +1,3 @@
-cmake_minimum_required(VERSION 3.22.2)
-project(ggml-htp C CXX ASM)
-
-include(${HEXAGON_SDK_ROOT}/build/cmake/hexagon_fun.cmake)
-
-include_directories(
-    ${HEXAGON_SDK_ROOT}/incs
-    ${HEXAGON_SDK_ROOT}/incs/stddef
-    ${CMAKE_CURRENT_SOURCE_DIR}/../../../include
-    ${CMAKE_CURRENT_SOURCE_DIR}/../..
-    ${CMAKE_CURRENT_SOURCE_DIR}/..
-    ${CMAKE_CURRENT_SOURCE_DIR}
-    ${CMAKE_CURRENT_BINARY_DIR})
-
-set(HTP_LIB ggml-htp-${DSP_VERSION})
-
-add_library(${HTP_LIB} SHARED
-    main.c
-    htp_iface_skel.c
-    worker-pool.c
-    hex-dma.c
-    matmul-ops.c
-    binary-ops.c
-    unary-ops.c
-    sum-rows-ops.c
-    softmax-ops.c
-    act-ops.c
-    rope-ops.c
-    flash-attn-ops.c
-    set-rows-ops.c
-    get-rows-ops.c
-    cpy-ops.c
-    repeat-ops.c
-    argsort-ops.c
-    ssm-conv.c
-)
-
-target_compile_definitions(${HTP_LIB} PRIVATE
-    $<IF:$<BOOL:${HEXAGON_HTP_DEBUG}>,HTP_DEBUG=1,NDEBUG=1>
-    $<IF:$<BOOL:${HEXAGON_HTP_DEBUG}>,FARF_HIGH=1,>
-    FP32_QUANTIZE_GROUP_SIZE=${GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE})
-
-build_idl(htp_iface.idl ${HTP_LIB})
-
-set_target_properties(${HTP_LIB} PROPERTIES EXPORT_COMPILE_COMMANDS ON)
-
-install(TARGETS ${HTP_LIB})
+version https://git-lfs.github.com/spec/v1
+oid sha256:defa177f9e9681ccf0b06a72f3f28d314c3d23a419fcd5ccc31c3dee5fb053fb
+size 1756
diff --git a/ggml/src/ggml-hexagon/htp/act-ops.c b/ggml/src/ggml-hexagon/htp/act-ops.c
index d8b924981e0999d650aa03638f9d45b37e11c706..6416d2dfbc389484c2925f46f571ea9d920f8c52 100644
--- a/ggml/src/ggml-hexagon/htp/act-ops.c
+++ b/ggml/src/ggml-hexagon/htp/act-ops.c
@@ -14,59 +14,42 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define htp_act_preamble3              \
-    const uint32_t ne00 = src0->ne[0]; \
-    const uint32_t ne01 = src0->ne[1]; \
-    const uint32_t ne02 = src0->ne[2]; \
-    const uint32_t ne03 = src0->ne[3]; \
-                                       \
-    const uint32_t ne10 = src1->ne[0]; \
-    const uint32_t ne11 = src1->ne[1]; \
-    const uint32_t ne12 = src1->ne[2]; \
-    const uint32_t ne13 = src1->ne[3]; \
-                                       \
-    const uint32_t ne0 = dst->ne[0];   \
-    const uint32_t ne1 = dst->ne[1];   \
-    const uint32_t ne2 = dst->ne[2];   \
-    const uint32_t ne3 = dst->ne[3];   \
-                                       \
-    const uint32_t nb00 = src0->nb[0]; \
-    const uint32_t nb01 = src0->nb[1]; \
-    const uint32_t nb02 = src0->nb[2]; \
-    const uint32_t nb03 = src0->nb[3]; \
-                                       \
-    const uint32_t nb10 = src1->nb[0]; \
-    const uint32_t nb11 = src1->nb[1]; \
-    const uint32_t nb12 = src1->nb[2]; \
-    const uint32_t nb13 = src1->nb[3]; \
-                                       \
-    const uint32_t nb0 = dst->nb[0];   \
-    const uint32_t nb1 = dst->nb[1];   \
-    const uint32_t nb2 = dst->nb[2];   \
-    const uint32_t nb3 = dst->nb[3];
-
-#define htp_act_preamble2              \
-    const uint32_t ne00 = src0->ne[0]; \
-    const uint32_t ne01 = src0->ne[1]; \
-    const uint32_t ne02 = src0->ne[2]; \
-    const uint32_t ne03 = src0->ne[3]; \
-                                       \
-    const uint32_t ne0 = dst->ne[0];   \
-    const uint32_t ne1 = dst->ne[1];   \
-    const uint32_t ne2 = dst->ne[2];   \
-    const uint32_t ne3 = dst->ne[3];   \
-                                       \
-    const uint32_t nb00 = src0->nb[0]; \
-    const uint32_t nb01 = src0->nb[1]; \
-    const uint32_t nb02 = src0->nb[2]; \
-    const uint32_t nb03 = src0->nb[3]; \
-                                       \
-    const uint32_t nb0 = dst->nb[0];   \
-    const uint32_t nb1 = dst->nb[1];   \
-    const uint32_t nb2 = dst->nb[2];   \
+#define htp_act_preamble                                 \
+    const struct htp_tensor * src0 = actx->octx->src[0]; \
+    const struct htp_tensor * src1 = actx->octx->src[1]; \
+    const struct htp_tensor * dst  = actx->octx->dst;    \
+                                                         \
+    const uint32_t ne00 = src0->ne[0];                   \
+    const uint32_t ne01 = src0->ne[1];                   \
+    const uint32_t ne02 = src0->ne[2];                   \
+    const uint32_t ne03 = src0->ne[3];                   \
+                                                         \
+    const uint32_t nb00 = src0->nb[0];                   \
+    const uint32_t nb01 = src0->nb[1];                   \
+    const uint32_t nb02 = src0->nb[2];                   \
+    const uint32_t nb03 = src0->nb[3];                   \
+                                                         \
+    const uint32_t ne10 = src1 ? src1->ne[0] : 0;        \
+    const uint32_t ne11 = src1 ? src1->ne[1] : 0;        \
+    const uint32_t ne12 = src1 ? src1->ne[2] : 0;        \
+    const uint32_t ne13 = src1 ? src1->ne[3] : 0;        \
+                                                         \
+    const uint32_t nb10 = src1 ? src1->nb[0] : 0;        \
+    const uint32_t nb11 = src1 ? src1->nb[1] : 0;        \
+    const uint32_t nb12 = src1 ? src1->nb[2] : 0;        \
+    const uint32_t nb13 = src1 ? src1->nb[3] : 0;        \
+                                                         \
+    const uint32_t ne0 = dst->ne[0];                     \
+    const uint32_t ne1 = dst->ne[1];                     \
+    const uint32_t ne2 = dst->ne[2];                     \
+    const uint32_t ne3 = dst->ne[3];                     \
+                                                         \
+    const uint32_t nb0 = dst->nb[0];                     \
+    const uint32_t nb1 = dst->nb[1];                     \
+    const uint32_t nb2 = dst->nb[2];                     \
     const uint32_t nb3 = dst->nb[3];
 
 struct htp_act_context {
@@ -97,10 +80,7 @@ struct htp_act_context {
 
 static void glu_swiglu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * src1 = &actx->octx->src1;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble3;
+    htp_act_preamble;
 
     size_t src0_row_size = actx->src0_row_size;
     size_t src1_row_size = actx->src1_row_size;
@@ -207,10 +187,7 @@ static void glu_swiglu_f32_per_thread(unsigned int nth, unsigned int ith, void *
 
 static void glu_swiglu_oai_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * src1 = &actx->octx->src1;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble3;
+    htp_act_preamble;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -332,9 +309,7 @@ static void glu_swiglu_oai_f32_per_thread(unsigned int nth, unsigned int ith, vo
 
 static void unary_gelu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble2;
+    htp_act_preamble;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -433,9 +408,7 @@ static void unary_gelu_f32_per_thread(unsigned int nth, unsigned int ith, void *
 
 static void unary_silu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble2;
+    htp_act_preamble;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -533,10 +506,7 @@ static const float SQRT_2_OVER_PI  = 0.79788456080286535587989211986876f;
 
 static void glu_geglu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * src1 = &actx->octx->src1;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble3;
+    htp_act_preamble;
 
     size_t src0_row_size = actx->src0_row_size;
     size_t src1_row_size = actx->src1_row_size;
@@ -652,9 +622,9 @@ static void glu_geglu_f32_per_thread(unsigned int nth, unsigned int ith, void *
 }
 
 static int execute_op_activations_f32(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     if (((src0->ne[0] * SIZEOF_FP32) != src0->nb[1]) || ((dst->ne[0] * SIZEOF_FP32) != dst->nb[1])) {
         FARF(ERROR, "Non-contiguous tensors are not supported at this time \n");
@@ -697,25 +667,20 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     size_t src0_row_size = src0->nb[1];
-    size_t src1_row_size = src1->nb[1]; // zero bytes if src1 is not used
+    size_t src1_row_size = src1 ? src1->nb[1] : src0->nb[1];
     size_t dst_row_size  = dst->nb[1];
 
-    const bool src1_valid = src1->ne[0];
-    if (!src1_valid) {
-        src1_row_size = src0_row_size;
-    }
-
     const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
     const size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
     const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+
     // VTCM scratchpads for all tensors
     // N rows per thread, padded to HVX vector size
-
     size_t spad_size_per_row   = (src0_row_size_aligned + src1_row_size_aligned) + dst_row_size_aligned;
     size_t vtcm_row_per_thread = (octx->ctx->vtcm_size)/ (n_threads* spad_size_per_row);
 
     // Make sure the reserved vtcm size is sufficient
-    if(vtcm_row_per_thread ==0){
+    if (vtcm_row_per_thread == 0) {
         FARF(ERROR, "act-%s : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n", op_type, octx->ctx->vtcm_size,
              spad_size_per_row * n_threads);
         return HTP_STATUS_VTCM_TOO_SMALL;
@@ -733,7 +698,11 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
     octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
     octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
 
-    if (src1->ne[0]) {
+    octx->src0_spad.src = NULL;
+    octx->src1_spad.src = NULL;
+    octx->dst_spad.src  = NULL;
+
+    if (src1) {
         FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
              op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
              src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size,
@@ -773,9 +742,9 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
 
     // Pointers and GLU logic
     const uint8_t * data_src0 = (const uint8_t *) src0->data;
-    const uint8_t * data_src1 = (const uint8_t *) src1->data;
+    const uint8_t * data_src1 = src1 ? (const uint8_t *) src1->data : NULL;
 
-    if (!src1_valid && (octx->op == HTP_OP_GLU_SWIGLU || octx->op == HTP_OP_GLU_SWIGLU_OAI || octx->op == HTP_OP_GLU_GEGLU)) {
+    if (!src1 && (octx->op == HTP_OP_GLU_SWIGLU || octx->op == HTP_OP_GLU_SWIGLU_OAI || octx->op == HTP_OP_GLU_GEGLU)) {
          const int32_t swapped = octx->op_params[1];
          data_src1 = data_src0;
          actx.src1_row_size = actx.src0_row_size;
@@ -799,7 +768,7 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
 int op_activations(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_activations_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/argsort-ops.c b/ggml/src/ggml-hexagon/htp/argsort-ops.c
index 170220e8f80c7132dde52176060fb41aada97bbc..bdd0623615d5804083ebc770092f66bec2b9fe75 100644
--- a/ggml/src/ggml-hexagon/htp/argsort-ops.c
+++ b/ggml/src/ggml-hexagon/htp/argsort-ops.c
@@ -12,7 +12,7 @@
 #include "hex-dma.h"
 
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 #ifndef MIN
@@ -164,13 +164,19 @@ static void quicksort_values_indices_desc(float * values, int32_t * indices, int
     if (i < right) quicksort_values_indices_desc(values, indices, i, right);
 }
 
+// LUT for ramp initialization of argsort output (first 32 members)
+int32_t argosrt_ramp_lut[32] __attribute__((aligned(VLEN))) = {
+    0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+    16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31
+};
+
 static void htp_argsort_f32(unsigned int n, unsigned int i, void * data) {
     struct htp_argsort_context * actx = (struct htp_argsort_context *)data;
     struct htp_ops_context * octx = actx->octx;
 
     // Unpack context
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst = octx->dst;
 
     // Scratchpad memory
     uint8_t * spad = octx->src0_spad.data + octx->src0_spad.size_per_thread * i;
@@ -205,8 +211,12 @@ static void htp_argsort_f32(unsigned int n, unsigned int i, void * data) {
     // Padded to 128 bytes.
 
     size_t values_size = hex_round_up(ne00 * sizeof(float), 128);
+    size_t num_vec_ind_values = hmx_ceil_div(ne00, VLEN/(sizeof(int32_t)));
     float * values_buf = (float *) spad;
     int32_t * indices_buf = (int32_t *) (spad + values_size);
+    HVX_Vector * indices_buf_vec = (HVX_Vector *) (spad + values_size);
+    const HVX_Vector ind_init_vec = *(HVX_Vector *)argosrt_ramp_lut;
+    const HVX_Vector ind_diff_vec = Q6_V_vsplat_R(32);
 
     for (uint32_t r = start_row; r < end_row; r++) {
         uint32_t src_offset = r * nb01;
@@ -218,9 +228,11 @@ static void htp_argsort_f32(unsigned int n, unsigned int i, void * data) {
         hex_l2fetch(src_ptr, ne00 * sizeof(float), ne00 * sizeof(float), 1);
         hvx_copy_f32_au((uint8_t*)values_buf, src_ptr, ne00);
 
-        // Initialize indices
-        for (uint32_t j = 0; j < ne00; j++) {
-            indices_buf[j] = j;
+        // Initialize indices - Start with values 0..31, add 32 for additional vec iterations
+        HVX_Vector curr_ind_vec = ind_init_vec;
+        for (uint32_t j_vec = 0; j_vec < num_vec_ind_values; j_vec++) {
+            indices_buf_vec[j_vec] = curr_ind_vec;
+            curr_ind_vec = Q6_Vw_vadd_VwVw(curr_ind_vec, ind_diff_vec);
         }
 
         // Sort values and mirror swaps to indices
@@ -237,16 +249,16 @@ static void htp_argsort_f32(unsigned int n, unsigned int i, void * data) {
 
 int op_argsort(struct htp_ops_context * octx) {
     // Check supported types
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t total_rows = octx->src0.ne[1] * octx->src0.ne[2] * octx->src0.ne[3];
+    const uint32_t total_rows = octx->src[0]->ne[1] * octx->src[0]->ne[2] * octx->src[0]->ne[3];
     const uint32_t n_threads = MIN(total_rows, octx->n_threads);
 
     // Allocate scratchpad
     // We need 1 row of float + 1 row of int32 per thread.
-    uint32_t ne00 = octx->src0.ne[0];
+    uint32_t ne00 = octx->src[0]->ne[0];
     size_t values_size  = hex_round_up(ne00 * sizeof(float), 128);
     size_t indices_size = hex_round_up(ne00 * sizeof(int32_t), 128);
     size_t spad_per_thread = values_size + indices_size;
@@ -266,9 +278,9 @@ int op_argsort(struct htp_ops_context * octx) {
     octx->src0_spad.size_per_thread = spad_per_thread;
 
     FARF(HIGH, "argsort: %ux%ux%ux%u -> %ux%ux%ux%u (0x%x, 0x%x)",
-         octx->src0.ne[0], octx->src0.ne[1], octx->src0.ne[2], octx->src0.ne[3],
-         octx->dst.ne[0], octx->dst.ne[1], octx->dst.ne[2], octx->dst.ne[3],
-         octx->src0.data, octx->dst.data);
+         octx->src[0]->ne[0], octx->src[0]->ne[1], octx->src[0]->ne[2], octx->src[0]->ne[3],
+         octx->dst->ne[0], octx->dst->ne[1], octx->dst->ne[2], octx->dst->ne[3],
+         octx->src[0]->data, octx->dst->data);
 
     struct htp_argsort_context actx;
     actx.octx = octx;
diff --git a/ggml/src/ggml-hexagon/htp/binary-ops.c b/ggml/src/ggml-hexagon/htp/binary-ops.c
index ec90f22de52ee610503bf7ef41dba18984badeb6..52013ad0fec5609ce6988b5939554b6de052ca73 100644
--- a/ggml/src/ggml-hexagon/htp/binary-ops.c
+++ b/ggml/src/ggml-hexagon/htp/binary-ops.c
@@ -14,7 +14,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 #ifndef MIN
@@ -24,31 +24,29 @@
 // Context for binary operations
 struct htp_binary_context {
     struct htp_ops_context * octx;
-    struct fastdiv_values dim1_div;
-    struct fastdiv_values dim2_div;
-    struct fastdiv_values dim12_div;
+
+    struct fastdiv_values src0_dim1_div; // ne01
+    struct fastdiv_values src0_dim2_div; // ne02
+    struct fastdiv_values src0_dim12_div;// ne03
 
     struct fastdiv_values src1_dim1_div; // ne11
     struct fastdiv_values src1_dim2_div; // ne12
     struct fastdiv_values src1_dim3_div; // ne13
 
-    uint32_t nrows_per_thread;
-    bool split_at_ne01;
-    bool split_at_ne02;
-
-    // Precomputed values
     uint32_t block_max;
+    uint32_t nrows_per_thread;
     size_t   src0_row_size_aligned;
     size_t   src1_row_size_aligned;
     size_t   dst_row_size_aligned;
-    uint32_t src1_fetch_rows; // 1 or block_max
-    uint32_t src1_dma_stride; // 0 or stride
+
+    bool split_at_ne01;
+    bool split_at_ne02;
 };
 
-#define htp_binary_preamble            \
-    const struct htp_tensor * src0 = &octx->src0; \
-    const struct htp_tensor * src1 = &octx->src1; \
-    struct htp_tensor *       dst  = &octx->dst;  \
+#define htp_binary_preamble                        \
+    const struct htp_tensor * src0 = octx->src[0]; \
+    const struct htp_tensor * src1 = octx->src[1]; \
+    const struct htp_tensor * dst  = octx->dst;    \
                                        \
     const uint32_t ne00 = src0->ne[0]; \
     const uint32_t ne01 = src0->ne[1]; \
@@ -72,12 +70,11 @@ struct htp_binary_context {
     const uint32_t nb2 = dst->nb[2];   \
     const uint32_t nb3 = dst->nb[3];
 
-static inline uint32_t calc_block_size(struct htp_binary_context * bctx, uint32_t ir, uint32_t end_row,
-                                uint32_t ne01, uint32_t ne02) {
+static inline uint32_t calc_block_size(struct htp_binary_context * bctx, uint32_t ir, uint32_t end_row, uint32_t ne01, uint32_t ne02) {
     uint32_t i03, i02, i01, rem;
-    i03 = fastdiv(ir, &bctx->dim12_div);
+    i03 = fastdiv(ir, &bctx->src0_dim12_div);
     rem = ir - i03 * (ne02 * ne01);
-    i02 = fastdiv(rem, &bctx->dim1_div);
+    i02 = fastdiv(rem, &bctx->src0_dim1_div);
     i01 = rem - i02 * ne01;
 
     uint32_t rows_left = end_row - ir;
@@ -184,13 +181,15 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
     if (start_row >= end_row) return;
 
+    FARF(HIGH, "binary-scalar: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
+
     uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
     uint8_t * dst_spad_base  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
     size_t src0_spad_half    = octx->src0_spad.size_per_thread / 2;
@@ -204,9 +203,9 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
     for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
         uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
         uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir_prefetch, &bctx->dim12_div);
+        i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
         rem = ir_prefetch - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
+        i02 = fastdiv(rem, &bctx->src0_dim1_div);
         i01 = rem - i02 * ne01;
 
         uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
@@ -215,7 +214,7 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
         uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
-        dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
         dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
@@ -229,9 +228,9 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
         uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
 
         uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir, &bctx->dim12_div);
+        i03 = fastdiv(ir, &bctx->src0_dim12_div);
         rem = ir - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
+        i02 = fastdiv(rem, &bctx->src0_dim1_div);
         i01 = rem - i02 * ne01;
 
         // src1 indices (broadcast/repeat)
@@ -255,9 +254,9 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
              uint32_t p03, p02, p01, prem;
-             p03 = fastdiv(ir_prefetch, &bctx->dim12_div);
+             p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
              prem = ir_prefetch - p03 * (ne02 * ne01);
-             p02 = fastdiv(prem, &bctx->dim1_div);
+             p02 = fastdiv(prem, &bctx->src0_dim1_div);
              p01 = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
 
@@ -275,13 +274,15 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
     if (start_row >= end_row) return;
 
+    FARF(HIGH, "binary-same-shape: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
+
     uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
     uint8_t * src1_spad_base = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
     uint8_t * dst_spad_base  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
@@ -297,9 +298,9 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
     for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
         uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
         uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir_prefetch, &bctx->dim12_div);
+        i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
         rem = ir_prefetch - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
+        i02 = fastdiv(rem, &bctx->src0_dim1_div);
         i01 = rem - i02 * ne01;
 
         uint32_t i13 = (ne13 == 1) ? 0 : i03;
@@ -307,23 +308,23 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
         uint32_t i11 = (ne11 == 1) ? 0 : i01;
 
         uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
-        uint8_t * src1_base = (uint8_t *)src1->data + i13 * nb13 + i12 * nb12 + i11 * nb11;
+        uint8_t * src1_curr = (uint8_t *)src1->data + i13 * nb13 + i12 * nb12 + i11 * nb11;
         uint8_t * dst_curr  = (uint8_t *)dst->data  + i03 * nb3  + i02 * nb2  + i01 * nb1;
 
         uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
         uint8_t * s1_spad = src1_spad_base + spad_idx * src1_spad_half;
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
-        dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
         dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
-        dma_queue_push(q, dma_make_ptr(s1_spad, src1_base), bctx->src1_row_size_aligned, bctx->src1_dma_stride, row_size_bytes, current_block_size);
+        dma_queue_push(q, dma_make_ptr(s1_spad, src1_curr), bctx->src1_row_size_aligned, nb11, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
     }
 
     for (uint32_t ir = start_row; ir < end_row; ) {
         uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
-        uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
+        uint8_t * d_spad  = (uint8_t *) dma_queue_pop(q).src;
         uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
         uint8_t * s1_spad = (uint8_t *) dma_queue_pop(q).dst;
 
@@ -335,9 +336,9 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
         }
 
         uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir, &bctx->dim12_div);
+        i03 = fastdiv(ir, &bctx->src0_dim12_div);
         rem = ir - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
+        i02 = fastdiv(rem, &bctx->src0_dim1_div);
         i01 = rem - i02 * ne01;
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
         dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
@@ -345,9 +346,9 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
              uint32_t p03, p02, p01, prem;
-             p03 = fastdiv(ir_prefetch, &bctx->dim12_div);
+             p03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
              prem = ir_prefetch - p03 * (ne02 * ne01);
-             p02 = fastdiv(prem, &bctx->dim1_div);
+             p02 = fastdiv(prem, &bctx->src0_dim1_div);
              p01 = prem - p02 * ne01;
 
              uint32_t p13 = (ne13 == 1) ? 0 : p03;
@@ -358,7 +359,7 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
              uint8_t * s1_next = (uint8_t *)src1->data + p13 * nb13 + p12 * nb12 + p11 * nb11;
 
              dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
-             dma_queue_push(q, dma_make_ptr(s1_spad, s1_next), bctx->src1_row_size_aligned, bctx->src1_dma_stride, row_size_bytes, next_block_size);
+             dma_queue_push(q, dma_make_ptr(s1_spad, s1_next), bctx->src1_row_size_aligned, nb11, row_size_bytes, next_block_size);
 
              ir_prefetch += next_block_size;
         }
@@ -373,15 +374,17 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type  = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
-    const uint32_t start_row = bctx->nrows_per_thread * ith;
-    const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
+    const uint32_t start_row  = bctx->nrows_per_thread * ith;
+    const uint32_t end_row    = MIN(start_row + bctx->nrows_per_thread, total_rows);
     if (start_row >= end_row) return;
 
+    FARF(HIGH, "binary-row-bcast: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
+
     uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
-    uint8_t * src1_spad = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
+    uint8_t * src1_spad_base = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
     uint8_t * dst_spad_base  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
 
     size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
@@ -391,15 +394,14 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
     uint32_t ir_prefetch = start_row;
     int spad_idx = 0;
 
-    void * s1_ptr = (void *) src1_spad;
+    void * s1_ptr = (void *) src1_spad_base;
 
     for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
         uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-        rem = ir_prefetch - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+        uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
         uint8_t * dst_curr  = (uint8_t *)dst->data  + i03 * nb3  + i02 * nb2  + i01 * nb1;
@@ -407,7 +409,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
         uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
-        dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
         dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
@@ -415,7 +417,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
 
     for (uint32_t ir = start_row; ir < end_row; ) {
         uint32_t current_block_size = calc_block_size(bctx, ir, end_row, ne01, ne02);
-        uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
+        uint8_t * d_spad  = (uint8_t *) dma_queue_pop(q).src;
         uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
 
         for (uint32_t r = 0; r < current_block_size; r++) {
@@ -425,21 +427,19 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
             COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, src0_type, ne00);
         }
 
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir, &bctx->dim12_div);
-        rem = ir - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
+        uint32_t rem = ir - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
         dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-             uint32_t p03, p02, p01, prem;
-             p03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-             prem = ir_prefetch - p03 * (ne02 * ne01);
-             p02 = fastdiv(prem, &bctx->dim1_div);
-             p01 = prem - p02 * ne01;
+             uint32_t p03  = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+             uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
+             uint32_t p02  = fastdiv(prem, &bctx->src0_dim1_div);
+             uint32_t p01  = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
              dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
@@ -455,17 +455,19 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
-    const uint32_t start_row = bctx->nrows_per_thread * ith;
-    const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
+    const uint32_t start_row  = bctx->nrows_per_thread * ith;
+    const uint32_t end_row    = MIN(start_row + bctx->nrows_per_thread, total_rows);
     if (start_row >= end_row) return;
 
+    FARF(HIGH, "binary-complex: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
+
     uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
     uint8_t * dst_spad_base  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
-    size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
-    size_t dst_spad_half  = octx->dst_spad.size_per_thread  / 2;
+    size_t src0_spad_half    = octx->src0_spad.size_per_thread / 2;
+    size_t dst_spad_half     = octx->dst_spad.size_per_thread  / 2;
 
     dma_queue * q = octx->ctx->dma[ith];
     uint32_t ir_prefetch = start_row;
@@ -473,11 +475,10 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
 
     for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
         uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-        rem = ir_prefetch - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+        uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
         uint8_t * dst_curr  = (uint8_t *)dst->data  + i03 * nb3  + i02 * nb2  + i01 * nb1;
@@ -485,7 +486,7 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
         uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
-        dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
         dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
@@ -496,11 +497,10 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
         uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
         uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
 
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir, &bctx->dim12_div);
-        rem = ir - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
+        uint32_t rem = ir - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         for (uint32_t r = 0; r < current_block_size; r++) {
             uint32_t r_i01 = i01 + r;
@@ -521,11 +521,10 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-             uint32_t p03, p02, p01, prem;
-             p03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-             prem = ir_prefetch - p03 * (ne02 * ne01);
-             p02 = fastdiv(prem, &bctx->dim1_div);
-             p01 = prem - p02 * ne01;
+             uint32_t p03  = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+             uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
+             uint32_t p02  = fastdiv(prem, &bctx->src0_dim1_div);
+             uint32_t p01  = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
              dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
@@ -541,18 +540,20 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t elem_size_bytes = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
     const uint32_t row_size_bytes = ne00 * elem_size_bytes;;
     const uint32_t total_rows = ne01 * ne02 * ne03;
-    const uint32_t start_row = bctx->nrows_per_thread * ith;
-    const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
+    const uint32_t start_row  = bctx->nrows_per_thread * ith;
+    const uint32_t end_row    = MIN(start_row + bctx->nrows_per_thread, total_rows);
     if (start_row >= end_row) return;
 
     uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
     uint8_t * dst_spad_base  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
-    size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
-    size_t dst_spad_half  = octx->dst_spad.size_per_thread  / 2;
+    size_t src0_spad_half    = octx->src0_spad.size_per_thread / 2;
+    size_t dst_spad_half     = octx->dst_spad.size_per_thread  / 2;
+
+    FARF(HIGH, "binary-repeat: %d/%d (%u:%u) row-size %u (%u)", ith, nth, start_row, end_row, nb01, bctx->dst_row_size_aligned);
 
     dma_queue * q = octx->ctx->dma[ith];
     uint32_t ir_prefetch = start_row;
@@ -560,11 +561,10 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
 
     for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
         uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-        rem = ir_prefetch - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+        uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
         uint8_t * dst_curr  = (uint8_t *)dst->data  + i03 * nb3  + i02 * nb2  + i01 * nb1;
@@ -572,7 +572,7 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
         uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
-        dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, 0);
         dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
@@ -583,11 +583,10 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
         uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
         uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
 
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir, &bctx->dim12_div);
-        rem = ir - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
+        uint32_t rem = ir - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         for (uint32_t r = 0; r < current_block_size; r++) {
             uint32_t r_i01 = i01 + r;
@@ -612,11 +611,10 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-             uint32_t p03, p02, p01, prem;
-             p03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-             prem = ir_prefetch - p03 * (ne02 * ne01);
-             p02 = fastdiv(prem, &bctx->dim1_div);
-             p01 = prem - p02 * ne01;
+             uint32_t p03  = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+             uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
+             uint32_t p02  = fastdiv(prem, &bctx->src0_dim1_div);
+             uint32_t p01  = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
              dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
@@ -631,10 +629,10 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
     struct htp_binary_context * bctx = (struct htp_binary_context *) data;
     struct htp_ops_context * octx = bctx->octx;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * src2 = &octx->src2;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * src2 = octx->src[2];
+    const struct htp_tensor * dst  = octx->dst;
 
     const uint32_t ne00 = src0->ne[0];
     const uint32_t ne01 = src0->ne[1];
@@ -646,6 +644,7 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
     const uint32_t nb02 = src0->nb[2];
     const uint32_t nb03 = src0->nb[3];
     const uint32_t nb11 = src1->nb[1]; // src1 row stride
+
     const uint32_t nb1 = dst->nb[1];
     const uint32_t nb2 = dst->nb[2];
     const uint32_t nb3 = dst->nb[3];
@@ -657,8 +656,8 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
 
     uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
     uint8_t * dst_spad_base  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
-    size_t src0_spad_half = octx->src0_spad.size_per_thread / 2;
-    size_t dst_spad_half  = octx->dst_spad.size_per_thread  / 2;
+    size_t src0_spad_half    = octx->src0_spad.size_per_thread / 2;
+    size_t dst_spad_half     = octx->dst_spad.size_per_thread  / 2;
 
     dma_queue * q = octx->ctx->dma[ith];
     uint32_t ir_prefetch = start_row;
@@ -666,11 +665,10 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
 
     for (int k = 0; k < 2 && ir_prefetch < end_row; k++) {
         uint32_t current_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-        rem = ir_prefetch - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+        uint32_t rem = ir_prefetch - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         uint8_t * src0_curr = (uint8_t *)src0->data + i03 * nb03 + i02 * nb02 + i01 * nb01;
         uint8_t * dst_curr  = (uint8_t *)dst->data  + i03 * nb3  + i02 * nb2  + i01 * nb1;
@@ -678,7 +676,7 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
         uint8_t * s0_spad = src0_spad_base + spad_idx * src0_spad_half;
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
-        dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), 0);
         dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
@@ -689,11 +687,10 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
         uint8_t * d_spad = (uint8_t *) dma_queue_pop(q).src;
         uint8_t * s0_spad = (uint8_t *) dma_queue_pop(q).dst;
 
-        uint32_t i03, i02, i01, rem;
-        i03 = fastdiv(ir, &bctx->dim12_div);
-        rem = ir - i03 * (ne02 * ne01);
-        i02 = fastdiv(rem, &bctx->dim1_div);
-        i01 = rem - i02 * ne01;
+        uint32_t i03 = fastdiv(ir, &bctx->src0_dim12_div);
+        uint32_t rem = ir - i03 * (ne02 * ne01);
+        uint32_t i02 = fastdiv(rem, &bctx->src0_dim1_div);
+        uint32_t i01 = rem - i02 * ne01;
 
         for (uint32_t r = 0; r < current_block_size; r++) {
             uint32_t r_i01 = i01 + r; // linear within block since we split at ne01
@@ -712,11 +709,10 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
-             uint32_t p03, p02, p01, prem;
-             p03 = fastdiv(ir_prefetch, &bctx->dim12_div);
-             prem = ir_prefetch - p03 * (ne02 * ne01);
-             p02 = fastdiv(prem, &bctx->dim1_div);
-             p01 = prem - p02 * ne01;
+             uint32_t p03  = fastdiv(ir_prefetch, &bctx->src0_dim12_div);
+             uint32_t prem = ir_prefetch - p03 * (ne02 * ne01);
+             uint32_t p02  = fastdiv(prem, &bctx->src0_dim1_div);
+             uint32_t p01  = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
              dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
              ir_prefetch += next_block_size;
@@ -727,52 +723,48 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
 }
 
 static int execute_op_binary(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     // Use packed row sizes for VTCM allocation
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const size_t elem_size = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
     const size_t src0_row_size = src0->ne[0] * elem_size;
     const size_t src1_row_size = src1->ne[0] * elem_size;
-    const size_t dst_row_size  = dst->ne[0] * elem_size;
+    const size_t dst_row_size  = dst->ne[0]  * elem_size;
 
-    // Align to VLEN
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+    size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
     size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
+    size_t dst_row_size_aligned  = hex_round_up(dst_row_size,  VLEN);
 
     bool is_add_id = (octx->op == HTP_OP_ADD_ID);
     bool is_scalar = !is_add_id && (src1->ne[0] == 1);
 
-    // Determine which kernel we will use to alloc memory and dispatch
-    bool use_vector_same = !is_add_id && !is_scalar && ((src0->nb[1] % VLEN) == 0) && (src1->ne[0] == src0->ne[0]) &&
+    bool is_transposed = (src0->nb[1] < src0_row_size || src1->nb[1] < src1_row_size || dst->nb[1] < dst_row_size);
+
+    bool is_same_shape = !is_add_id && !is_scalar && !is_transposed &&
+               (src1->ne[0] == src0->ne[0] && src0->ne[0] % VLEN == 0) &&
                (src1->ne[1] == src0->ne[1] || src1->ne[1] == 1) &&
                (src1->ne[2] == src0->ne[2] || src1->ne[2] == 1) &&
                (src1->ne[3] == src0->ne[3] || src1->ne[3] == 1);
 
-    bool is_row_bcast = use_vector_same && (src1->ne[1] == 1 && src1->ne[2] == 1 && src1->ne[3] == 1);
-    bool use_complex = !is_add_id && !is_scalar && !use_vector_same && (src1->ne[0] == src0->ne[0]);
-    bool use_repeat  = !is_add_id && !is_scalar && !use_vector_same && (src1->ne[0] != src0->ne[0]);
+    bool is_row_bcast = is_same_shape && (src1->ne[1] == 1 && src1->ne[2] == 1 && src1->ne[3] == 1);
+    bool is_complex   = !is_add_id && !is_scalar && !is_same_shape && (src1->ne[0] == src0->ne[0]);
+    bool is_repeat    = !is_add_id && !is_scalar && !is_same_shape && (src1->ne[0] != src0->ne[0]);
 
     size_t spad_row_total;
-    if (is_scalar) {
-        spad_row_total = 2 * (src0_row_size_aligned + dst_row_size_aligned);
-    } else if (is_row_bcast) {
-        spad_row_total = 2 * (src0_row_size_aligned + dst_row_size_aligned);
-    } else if (use_vector_same) {
+    if (is_same_shape) {
         spad_row_total = 2 * (src0_row_size_aligned + src1_row_size_aligned + dst_row_size_aligned);
-    } else if (is_add_id) {
-        spad_row_total = 2 * (src0_row_size_aligned + dst_row_size_aligned); // src1 read directly
     } else {
         spad_row_total = 2 * (src0_row_size_aligned + dst_row_size_aligned);
     }
 
     size_t rows_per_buffer = octx->ctx->vtcm_size / (n_threads * spad_row_total);
+
     // Adjust for static src1 in row_bcast case
     if (is_row_bcast) {
         size_t needed_static = src1_row_size_aligned;
@@ -782,36 +774,34 @@ static int execute_op_binary(struct htp_ops_context * octx) {
     }
 
     if (rows_per_buffer < 1) {
-         FARF(ERROR, "binary: VTCM too small\n");
-         return HTP_STATUS_VTCM_TOO_SMALL;
+        FARF(ERROR, "binary: VTCM too small\n");
+        return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
     octx->src0_spad.size_per_thread = rows_per_buffer * 2 * src0_row_size_aligned;
     octx->dst_spad.size_per_thread  = rows_per_buffer * 2 * dst_row_size_aligned;
 
-    if (is_scalar || use_complex || use_repeat || is_add_id) {
-        octx->src1_spad.size_per_thread = 0;
-    } else if (is_row_bcast) {
+    if (is_add_id || is_scalar || is_complex || is_repeat || is_row_bcast) {
         octx->src1_spad.size_per_thread = 0;
     } else {
         octx->src1_spad.size_per_thread = rows_per_buffer * 2 * src1_row_size_aligned;
     }
 
+    octx->dst_spad.size  = n_threads * octx->dst_spad.size_per_thread;
     octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
     if (is_row_bcast) {
         octx->src1_spad.size = src1_row_size_aligned;
     } else {
         octx->src1_spad.size = n_threads * octx->src1_spad.size_per_thread;
     }
-    octx->dst_spad.size  = n_threads * octx->dst_spad.size_per_thread;
 
     if (octx->ctx->vtcm_size < (octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size)) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src  = NULL;
 
     if ((octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
         return HTP_STATUS_OK;
@@ -823,46 +813,37 @@ static int execute_op_binary(struct htp_ops_context * octx) {
     }
 
     struct htp_binary_context bctx;
-    bctx.octx = octx;
-    bctx.nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
-    bctx.block_max = rows_per_buffer;
+    bctx.octx                  = octx;
+    bctx.nrows_per_thread      = (src0_nrows + n_threads - 1) / n_threads;
+    bctx.block_max             = rows_per_buffer;
     bctx.src0_row_size_aligned = src0_row_size_aligned;
     bctx.src1_row_size_aligned = src1_row_size_aligned;
     bctx.dst_row_size_aligned  = dst_row_size_aligned;
 
-    bctx.dim1_div = init_fastdiv_values(src0->ne[1]);
-    bctx.dim2_div = init_fastdiv_values(src0->ne[2]);
-    bctx.dim12_div = init_fastdiv_values(src0->ne[1] * src0->ne[2]);
+    bctx.src0_dim1_div  = init_fastdiv_values(src0->ne[1]);
+    bctx.src0_dim2_div  = init_fastdiv_values(src0->ne[2]);
+    bctx.src0_dim12_div = init_fastdiv_values(src0->ne[1] * src0->ne[2]);
 
-    bctx.src1_dim1_div = init_fastdiv_values(src1->ne[1]);
-    bctx.src1_dim2_div = init_fastdiv_values(src1->ne[2]);
-    bctx.src1_dim3_div = init_fastdiv_values(src1->ne[3]);
+    bctx.src1_dim1_div  = init_fastdiv_values(src1->ne[1]);
+    bctx.src1_dim2_div  = init_fastdiv_values(src1->ne[2]);
+    bctx.src1_dim3_div  = init_fastdiv_values(src1->ne[3]);
 
     bool src0_contig_dim1 = (src0->nb[2] == src0->ne[1] * src0->nb[1]);
-    bool dst_contig_dim1  = (dst->nb[2] == src0->ne[1] * dst->nb[1]);
+    bool dst_contig_dim1  = (dst->nb[2]  == src0->ne[1] * dst->nb[1]);
 
     bool src0_contig_dim2 = (src0->nb[3] == src0->ne[2] * src0->nb[2]);
-    bool dst_contig_dim2  = (dst->nb[3] == src0->ne[2] * dst->nb[2]);
-
-    bctx.split_at_ne01 = (src0->ne[2] > 1) &&
-                         ((src1->ne[1] > 1) || (src1->ne[2] > 1) || !src0_contig_dim1 || !dst_contig_dim1);
+    bool dst_contig_dim2  = (dst->nb[3]  == src0->ne[2] * dst->nb[2]);
 
-    bctx.split_at_ne02 = (src0->ne[3] > 1) &&
-                         ((src1->ne[2] > 1) || (src1->ne[3] > 1) || !src0_contig_dim2 || !dst_contig_dim2);
-
-    // Precompute specific kernel parameters
-    if (use_vector_same) {
-        bctx.src1_dma_stride = (src1->ne[1] == 1) ? 0 : src1->nb[1];
-        bctx.src1_fetch_rows = (src1->ne[1] == 1) ? 1 : rows_per_buffer;
-    }
+    bctx.split_at_ne01 = (src0->ne[2] > 1) && ((src1->ne[1] > 1) || (src1->ne[2] > 1) || !src0_contig_dim1 || !dst_contig_dim1);
+    bctx.split_at_ne02 = (src0->ne[3] > 1) && ((src1->ne[2] > 1) || (src1->ne[3] > 1) || !src0_contig_dim2 || !dst_contig_dim2);
 
     worker_callback_t worker_func;
-    if (is_add_id) worker_func = binary_job_add_id;
-    else if (is_scalar) worker_func = binary_job_scalar;
-    else if (is_row_bcast) worker_func = binary_job_vector_row_broadcast;
-    else if (use_vector_same) worker_func = binary_job_vector_same_shape;
-    else if (use_complex) worker_func = binary_job_vector_complex;
-    else worker_func = binary_job_element_repeat;
+    if (is_add_id)          worker_func = binary_job_add_id;
+    else if (is_scalar)     worker_func = binary_job_scalar;
+    else if (is_row_bcast)  worker_func = binary_job_vector_row_broadcast;
+    else if (is_same_shape) worker_func = binary_job_vector_same_shape;
+    else if (is_complex)    worker_func = binary_job_vector_complex;
+    else                    worker_func = binary_job_element_repeat;
 
     if (is_row_bcast) {
         dma_queue_pop(q);
@@ -876,12 +857,12 @@ static int execute_op_binary(struct htp_ops_context * octx) {
 int op_binary(struct htp_ops_context * octx) {
 
     // Does not support permutations of src1
-    const struct htp_tensor * src1 = &octx->src1;
+    const struct htp_tensor * src1 = octx->src[1];
     if (src1->nb[1] < src1->nb[0]) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     if ((src0_type == HTP_TYPE_F32) || (src0_type == HTP_TYPE_F16)) {
         return execute_op_binary(octx);
     }
diff --git a/ggml/src/ggml-hexagon/htp/cpy-ops.c b/ggml/src/ggml-hexagon/htp/cpy-ops.c
index a40d866b9c3b891b44bac1c9593b254632d96325..e5b9d350fd7718b131ebc913e39bc96de25cfaac 100644
--- a/ggml/src/ggml-hexagon/htp/cpy-ops.c
+++ b/ggml/src/ggml-hexagon/htp/cpy-ops.c
@@ -11,7 +11,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
@@ -32,10 +32,10 @@ struct htp_copy_context {
     void (*copy)(struct htp_copy_context * ct, struct htp_ops_context * octx, int nth, int ith);
 };
 
-#define cpy_preamble                       \
-    struct htp_tensor *src0 = &octx->src0; \
-    struct htp_tensor *dst  = &octx->dst;  \
-                                           \
+#define cpy_preamble                              \
+    const struct htp_tensor *src0 = octx->src[0]; \
+    const struct htp_tensor *dst  = octx->dst;    \
+                                                  \
     const uint32_t ne00 = src0->ne[0];     \
     const uint32_t ne01 = src0->ne[1];     \
     const uint32_t ne02 = src0->ne[2];     \
diff --git a/ggml/src/ggml-hexagon/htp/cumsum-ops.c b/ggml/src/ggml-hexagon/htp/cumsum-ops.c
new file mode 100644
index 0000000000000000000000000000000000000000..2ced1971236202f33d9331faf2c61f6d5c9dff02
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/cumsum-ops.c
@@ -0,0 +1,270 @@
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <HAP_farf.h>
+#include <HAP_perf.h>
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+#include "htp-ctx.h"
+#include "htp-ops.h"
+#include "hvx-types.h"
+#include "hvx-utils.h"
+#include "hex-dma.h"
+
+#define htp_cumsum_tensors_preamble                         \
+    const struct htp_tensor * restrict src0 = octx->src[0]; \
+    const struct htp_tensor * restrict dst  = octx->dst;    \
+                                                     \
+    const uint32_t ne00 = src0->ne[0];               \
+    const uint32_t ne01 = src0->ne[1];               \
+    const uint32_t ne02 = src0->ne[2];               \
+    const uint32_t ne03 = src0->ne[3];               \
+                                                     \
+    const uint32_t ne0 = dst->ne[0];                 \
+    const uint32_t ne1 = dst->ne[1];                 \
+    const uint32_t ne2 = dst->ne[2];                 \
+    const uint32_t ne3 = dst->ne[3];                 \
+                                                     \
+    const uint32_t nb00 = src0->nb[0];               \
+    const uint32_t nb01 = src0->nb[1];               \
+    const uint32_t nb02 = src0->nb[2];               \
+    const uint32_t nb03 = src0->nb[3];               \
+                                                     \
+    const uint32_t nb0 = dst->nb[0];                 \
+    const uint32_t nb1 = dst->nb[1];                 \
+    const uint32_t nb2 = dst->nb[2];                 \
+    const uint32_t nb3 = dst->nb[3];
+
+struct htp_cumsum_context {
+    struct htp_ops_context * octx;
+    size_t          src_row_size;
+    size_t          dst_row_size;
+    size_t          src_row_size_aligned;
+    size_t          dst_row_size_aligned;
+    uint32_t        rows_per_thread;
+    uint32_t        total_rows;
+};
+
+#define htp_cumsum_preamble                                                \
+    struct htp_cumsum_context * cctx = (struct htp_cumsum_context *) data; \
+    struct htp_ops_context *    octx = cctx->octx;                         \
+    htp_cumsum_tensors_preamble;                                           \
+    dma_queue * dma_queue = octx->ctx->dma[ith];
+
+// ---------------------------------------------------------------------------
+// HVX prefix scan helpers
+// ---------------------------------------------------------------------------
+
+#if __HVX_ARCH__ > 75
+static inline HVX_Vector hvx_cumsum_vadd(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_vadd_VsfVsf(a, b);
+}
+#else
+static inline HVX_Vector hvx_cumsum_vadd(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b));
+}
+#endif  // __HVX_ARCH__ > 75
+
+static inline HVX_Vector hvx_prefix_scan_f32(HVX_Vector v, HVX_Vector carry_in) {
+    const HVX_Vector zero = Q6_V_vsplat_R(0);
+
+    v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero,  4));
+    v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero,  8));
+    v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 16));
+    v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 32));
+    v = hvx_cumsum_vadd(v, Q6_V_vlalign_VVR(v, zero, 64));
+    v = hvx_cumsum_vadd(v, carry_in);
+
+    return v;
+}
+
+static inline HVX_Vector hvx_splat_last_f32(HVX_Vector v) {
+    return hvx_vec_repl4(Q6_V_vror_VR(v, 124));
+}
+
+static inline void hvx_cumsum_row_f32(const float * restrict src, float * restrict dst, uint32_t n) {
+    const uint32_t nvec = n / VLEN_FP32;
+    const uint32_t nloe = n % VLEN_FP32;
+
+    HVX_Vector carry = Q6_V_vsplat_R(0);
+
+    for (uint32_t i = 0; i < nvec; i++) {
+        HVX_Vector v = *((const HVX_UVector *) (src + i * VLEN_FP32));
+        v = hvx_prefix_scan_f32(v, carry);
+        hvx_vec_store_u(dst + i * VLEN_FP32, VLEN, v);
+        carry = hvx_splat_last_f32(v);
+    }
+
+    if (nloe) {
+        float acc = hvx_vec_get_f32(carry);
+        const float * src_tail = src + nvec * VLEN_FP32;
+        float       * dst_tail = dst + nvec * VLEN_FP32;
+        for (uint32_t i = 0; i < nloe; i++) {
+            acc        += src_tail[i];
+            dst_tail[i] = acc;
+        }
+    }
+}
+
+// ---------------------------------------------------------------------------
+// Per thread worker: Double-buffered DMA
+// ---------------------------------------------------------------------------
+
+static void cumsum_thread_f32_dma(unsigned int nth, unsigned int ith, void * data) {
+    htp_cumsum_preamble;
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    const uint32_t ir0 = cctx->rows_per_thread * ith;
+    const uint32_t ir1 = MIN(ir0 + cctx->rows_per_thread, cctx->total_rows);
+
+    if (ir0 >= ir1) {
+        return;
+    }
+
+    const size_t src_row_size         = cctx->src_row_size;
+    const size_t dst_row_size         = cctx->dst_row_size;
+    const size_t src_row_size_aligned = cctx->src_row_size_aligned;
+    const size_t dst_row_size_aligned = cctx->dst_row_size_aligned;
+
+    const uint8_t * src_data = (const uint8_t *) src0->data;
+    uint8_t *       dst_data = (uint8_t *) dst->data;
+
+    uint8_t * src_spad = octx->src0_spad.data + (ith * src_row_size_aligned * 2);
+    uint8_t * dst_spad = octx->dst_spad.data  + (ith * dst_row_size_aligned * 2);
+
+    for (uint32_t ir = ir0, spad_idx = 0; ir < ir1 && spad_idx < 2; ir++, spad_idx++) {
+        // Dummy dst writeback to establish queue ordering
+        dma_queue_push_vtcm_to_ddr(dma_queue,
+                                   dma_make_ptr(dst_data, dst_spad + (spad_idx * dst_row_size_aligned)),
+                                   dst_row_size, dst_row_size_aligned, 0);
+
+        dma_queue_push_ddr_to_vtcm(dma_queue,
+                                   dma_make_ptr(src_spad + (spad_idx * src_row_size_aligned),
+                                                src_data + (ir * src_row_size)),
+                                   src_row_size_aligned, src_row_size, 1);
+    }
+
+    for (uint32_t ir = ir0; ir < ir1; ir++) {
+        float * dst_spad_row = (float *) dma_queue_pop(dma_queue).src;
+        float * src_spad_row = (float *) dma_queue_pop(dma_queue).dst;
+
+        hvx_cumsum_row_f32(src_spad_row, dst_spad_row, ne00);
+
+        dma_queue_push_vtcm_to_ddr(dma_queue,
+                                   dma_make_ptr(dst_data + (ir * dst_row_size), (uint8_t *) dst_spad_row),
+                                   dst_row_size, dst_row_size_aligned, 1);
+
+        const uint32_t next_row = ir + 2;
+        if (next_row < ir1) {
+            dma_queue_push_ddr_to_vtcm(dma_queue,
+                                       dma_make_ptr((uint8_t *) src_spad_row, src_data + (next_row * src_row_size)),
+                                       src_row_size_aligned, src_row_size, 1);
+        }
+    }
+
+    dma_queue_flush(dma_queue);
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "cumsum-f32-dma %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u usec %u\n",
+         ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1,
+         dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
+         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+// ---------------------------------------------------------------------------
+// Per thread worker: Direct HVX (no DMA)
+// ---------------------------------------------------------------------------
+
+static void cumsum_thread_f32(unsigned int nth, unsigned int ith, void * data) {
+    htp_cumsum_preamble;
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    const uint8_t * src_data = (const uint8_t *) src0->data;
+    uint8_t *       dst_data = (uint8_t *) dst->data;
+
+    const uint32_t ir0 = cctx->rows_per_thread * ith;
+    const uint32_t ir1 = MIN(ir0 + cctx->rows_per_thread, cctx->total_rows);
+
+    for (uint32_t ir = ir0; ir < ir1; ir++) {
+        const float * restrict src_row = (const float *) (src_data + ir * cctx->src_row_size);
+        float       * restrict dst_row = (float *)       (dst_data + ir * cctx->dst_row_size);
+        hvx_cumsum_row_f32(src_row, dst_row, ne00);
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "cumsum-f32 %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u usec %u\n",
+         ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1,
+         dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
+         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+int op_cumsum_f32(struct htp_ops_context * octx) {
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
+
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
+        return HTP_STATUS_OK;
+    }
+
+    const uint32_t total_rows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads  = MIN(octx->n_threads, total_rows);
+
+    const size_t src_row_size         = src0->nb[1];
+    const size_t dst_row_size         = dst->nb[1];
+    const size_t src_row_size_aligned = hex_round_up(src_row_size, VLEN);
+    const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN);
+
+    // 2 ping-pong buffers per thread for src and dst
+    const size_t spad_per_thread = 2 * (src_row_size_aligned + dst_row_size_aligned);
+
+    octx->src0_spad.size_per_thread = src_row_size_aligned * 2;
+    octx->dst_spad.size_per_thread  = dst_row_size_aligned * 2;
+
+    octx->src0_spad.size  = n_threads * octx->src0_spad.size_per_thread;
+    octx->dst_spad.size   = n_threads * octx->dst_spad.size_per_thread;
+
+    octx->src0_spad.data  = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->dst_spad.data   = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src  = NULL;
+
+    struct htp_cumsum_context cctx = {
+        .octx                 = octx,
+        .src_row_size         = src_row_size,
+        .dst_row_size         = dst_row_size,
+        .src_row_size_aligned = src_row_size_aligned,
+        .dst_row_size_aligned = dst_row_size_aligned,
+        .rows_per_thread      = (total_rows + n_threads - 1) / n_threads,
+        .total_rows           = total_rows,
+    };
+
+    if (octx->ctx->vtcm_size < spad_per_thread * n_threads) {
+        worker_pool_run_func(octx->ctx->worker_pool, cumsum_thread_f32, &cctx, n_threads);
+    } else {
+        worker_pool_run_func(octx->ctx->worker_pool, cumsum_thread_f32_dma, &cctx, n_threads);
+    }
+
+    return HTP_STATUS_OK;
+}
+
+int op_cumsum(struct htp_ops_context * octx) {
+    const struct htp_tensor * dst = octx->dst;
+
+    int err = HTP_STATUS_OK;
+
+    switch (dst->type) {
+        case HTP_TYPE_F32:
+            err = op_cumsum_f32(octx);
+            break;
+        default:
+            err = HTP_STATUS_NO_SUPPORT;
+            break;
+    }
+
+    return err;
+}
diff --git a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
index 6dc978dd68a1f1286ecb2f9b56742ebfe42109ac..d296a3225899ab002e50903163f31b8af6ec253e 100644
--- a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
+++ b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
@@ -15,7 +15,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 // Must be multiple of 32
@@ -278,12 +278,12 @@ static inline void hvx_scale_vec_f32_aa(uint8_t * restrict dst, const uint8_t *
 static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_fa_context * factx = (struct htp_fa_context *) data;
     const struct htp_ops_context * octx = factx->octx;
-    const struct htp_tensor * q = &octx->src0;
-    const struct htp_tensor * k = &octx->src1;
-    const struct htp_tensor * v = &octx->src2;
-    const struct htp_tensor * mask  = (octx->src3.data) ? &octx->src3 : NULL;
-    const struct htp_tensor * sinks = (octx->src4.data) ? &octx->src4 : NULL;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * q     = octx->src[0];
+    const struct htp_tensor * k     = octx->src[1];
+    const struct htp_tensor * v     = octx->src[2];
+    const struct htp_tensor * mask  = octx->src[3];
+    const struct htp_tensor * sinks = octx->src[4];
+    const struct htp_tensor * dst   = octx->dst;
 
     const uint32_t neq0 = q->ne[0];
     const uint32_t neq1 = q->ne[1];
@@ -346,6 +346,9 @@ static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void *
 
     const HVX_Vector logit_cap = hvx_vec_splat_f32(factx->logit_softcap);
 
+    dma_cache m_cache;
+    dma_cache_init(&m_cache, spad_m, factx->size_m_block, DMA_CACHE_MAX_SIZE);
+
     for (uint32_t ir = ir0; ir < ir1; ++ir) {
         const uint32_t iq3 = fastdiv(ir, &factx->src0_div21);
         const uint32_t iq2 = fastdiv(ir - iq3*neq2*neq1, &factx->src0_div1);
@@ -389,9 +392,8 @@ static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void *
             // Mask
             if (mask) {
                 const uint8_t * m_src = (const uint8_t *) (mp_base + ic_start);
-                uint8_t * m_dst = spad_m + (ib % 2) * factx->size_m_block;
                 // Mask is 1D contiguous for this row
-                dma_queue_push(dma, dma_make_ptr(m_dst, m_src), current_block_size * 2, current_block_size * 2, current_block_size * 2, 1);
+                dma_cache_push(dma, &m_cache, m_src, current_block_size * 2, current_block_size * 2, current_block_size * 2, 1);
             }
 
             // FARF(HIGH, "fa %u: prefetch KVM: ir %u ib %u iq1 %u iq2 %u iq3 %u : size_k_row %u size_v_row %u bs %u: usec %u",
@@ -554,7 +556,7 @@ static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void *
                 // Mask
                 if (mask) {
                     const uint8_t * m_src = (const uint8_t *) (mp_base + next_ic_start);
-                    dma_queue_push(dma, dma_make_ptr(m_base, m_src), next_block_size * 2, next_block_size * 2, next_block_size * 2, 1);
+                    dma_cache_push(dma, &m_cache, m_src, next_block_size * 2, next_block_size * 2, next_block_size * 2, 1);
                 }
 
                 // FARF(HIGH, "fa %u: prefetch KVM: ir %u ib %u : iq1 %u iq2 %u iq3 %u : size_k_row %u size_v_row %u bs %u: usec %u",
@@ -608,11 +610,11 @@ static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void *
 }
 
 int op_flash_attn_ext(struct htp_ops_context * octx) {
-    const struct htp_tensor * q = &octx->src0;
-    const struct htp_tensor * k = &octx->src1;
-    const struct htp_tensor * v = &octx->src2;
-    const struct htp_tensor * mask = (octx->src3.data) ? &octx->src3 : NULL;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * q    = octx->src[0];
+    const struct htp_tensor * k    = octx->src[1];
+    const struct htp_tensor * v    = octx->src[2];
+    const struct htp_tensor * mask = octx->src[3];
+    const struct htp_tensor * dst  = octx->dst;
 
     // Check support
     if ((q->type != HTP_TYPE_F16 && q->type != HTP_TYPE_F32) || k->type != HTP_TYPE_F16 || v->type != HTP_TYPE_F16) {
@@ -684,7 +686,7 @@ int op_flash_attn_ext(struct htp_ops_context * octx) {
     octx->src0_spad.size_per_thread = size_q_block * 1;
     octx->src1_spad.size_per_thread = factx.size_k_block * 2;
     octx->src2_spad.size_per_thread = factx.size_v_block * 2;
-    octx->src3_spad.size_per_thread = mask ? factx.size_m_block * 2 : 0;
+    octx->src3_spad.size_per_thread = mask ? factx.size_m_block * DMA_CACHE_MAX_SIZE : 0;
     octx->dst_spad.size_per_thread  = size_vkq_acc;
 
     octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
@@ -699,11 +701,11 @@ int op_flash_attn_ext(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size;
-    octx->src3_spad.data = octx->src2_spad.data + octx->src2_spad.size;
-    octx->dst_spad.data  = octx->src3_spad.data + octx->src3_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+    octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size; octx->src2_spad.src = NULL;
+    octx->src3_spad.data = octx->src2_spad.data + octx->src2_spad.size; octx->src3_spad.src = NULL;
+    octx->dst_spad.data  = octx->src3_spad.data + octx->src3_spad.size; octx->dst_spad.src  = NULL;
 
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
         worker_pool_run_func(octx->ctx->worker_pool, flash_attn_ext_f16_thread, &factx, octx->n_threads);
diff --git a/ggml/src/ggml-hexagon/htp/get-rows-ops.c b/ggml/src/ggml-hexagon/htp/get-rows-ops.c
index 047d2850aaa9900afae2c8a9d870d9702ed10a28..5a1dc933860e4358148cd8863b0c4acde9fde0cb 100644
--- a/ggml/src/ggml-hexagon/htp/get-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/get-rows-ops.c
@@ -11,7 +11,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
@@ -23,27 +23,33 @@ struct get_rows_context {
 };
 
 #define get_rows_preamble \
-    const uint32_t ne00 = octx->src0.ne[0]; \
-    const uint32_t ne01 = octx->src0.ne[1]; \
-    const uint32_t ne02 = octx->src0.ne[2]; \
-    const uint32_t ne03 = octx->src0.ne[3]; \
-                                            \
-    const uint32_t ne10 = octx->src1.ne[0]; \
-    const uint32_t ne11 = octx->src1.ne[1]; \
-    const uint32_t ne12 = octx->src1.ne[2]; \
-                                            \
-    const uint32_t nb01 = octx->src0.nb[1]; \
-    const uint32_t nb02 = octx->src0.nb[2]; \
-    const uint32_t nb03 = octx->src0.nb[3]; \
-                                            \
-    const uint32_t nb10 = octx->src1.nb[0]; \
-    const uint32_t nb11 = octx->src1.nb[1]; \
-    const uint32_t nb12 = octx->src1.nb[2]; \
-                                            \
-    const uint32_t nb1 = octx->dst.nb[1];   \
-    const uint32_t nb2 = octx->dst.nb[2];   \
-    const uint32_t nb3 = octx->dst.nb[3];   \
-                                            \
+    const uint32_t ne00 = octx->src[0]->ne[0]; \
+    const uint32_t ne01 = octx->src[0]->ne[1]; \
+    const uint32_t ne02 = octx->src[0]->ne[2]; \
+    const uint32_t ne03 = octx->src[0]->ne[3]; \
+                                               \
+    const uint32_t ne10 = octx->src[1]->ne[0]; \
+    const uint32_t ne11 = octx->src[1]->ne[1]; \
+    const uint32_t ne12 = octx->src[1]->ne[2]; \
+    const uint32_t ne13 = octx->src[1]->ne[3]; \
+                                               \
+    const uint32_t ne0 = octx->dst->ne[0];     \
+    const uint32_t ne1 = octx->dst->ne[1];     \
+    const uint32_t ne2 = octx->dst->ne[2];     \
+    const uint32_t ne3 = octx->dst->ne[3];     \
+                                               \
+    const uint32_t nb01 = octx->src[0]->nb[1]; \
+    const uint32_t nb02 = octx->src[0]->nb[2]; \
+    const uint32_t nb03 = octx->src[0]->nb[3]; \
+                                               \
+    const uint32_t nb10 = octx->src[1]->nb[0]; \
+    const uint32_t nb11 = octx->src[1]->nb[1]; \
+    const uint32_t nb12 = octx->src[1]->nb[2]; \
+                                               \
+    const uint32_t nb1 = octx->dst->nb[1];     \
+    const uint32_t nb2 = octx->dst->nb[2];     \
+    const uint32_t nb3 = octx->dst->nb[3];     \
+                                               \
     const uint32_t nr = ne10 * ne11 * ne12;
 
 static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) {
@@ -51,12 +57,14 @@ static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
     struct htp_ops_context * octx = grctx->octx;
     get_rows_preamble;
 
+    uint64_t qt = HAP_perf_get_qtimer_count();
+
     // parallelize by src1 elements (which correspond to dst rows)
     const uint32_t dr  = grctx->src1_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
-    const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
+    const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
 
     for (uint32_t i = ir0; i < ir1; ++i) {
         const uint32_t i12 = fastdiv(i, &grctx->get_rows_div_ne10_ne11);
@@ -64,7 +72,7 @@ static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
         const uint32_t i11 = fastdiv(rem, &grctx->get_rows_div_ne10);
         const uint32_t i10 = rem - i11 * ne10;
 
-        const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
+        const uintptr_t src1_addr = octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12;
 
         uint32_t i01 = is_i32 ? *(int32_t *)src1_addr : *(int64_t *)src1_addr;
 
@@ -73,10 +81,14 @@ static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
             continue;
         }
 
-        const uintptr_t src0_ptr = octx->src0.data + i01*nb01 + i11*nb02 + i12*nb03;
-        const uintptr_t dst_ptr  = octx->dst.data  + i10*nb1  + i11*nb2  + i12*nb3;
+        const uintptr_t src0_ptr = octx->src[0]->data + i01*nb01 + i11*nb02 + i12*nb03;
+        const uintptr_t dst_ptr  = octx->dst->data    + i10*nb1  + i11*nb2  + i12*nb3;
         hvx_copy_f32_uu((uint8_t *)dst_ptr, (const uint8_t *)src0_ptr, ne00);
     }
+
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "get-rows-f32-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, ir0, ir1, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) qt);
 }
 
 int op_get_rows(struct htp_ops_context * octx) {
@@ -84,15 +96,15 @@ int op_get_rows(struct htp_ops_context * octx) {
 
     const uint32_t n_threads = MIN(nr, octx->n_threads);
 
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->dst.type != HTP_TYPE_F32) {
+    if (octx->dst->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->src1.type != HTP_TYPE_I32 && octx->src1.type != HTP_TYPE_I64) {
+    if (octx->src[1]->type != HTP_TYPE_I32 && octx->src[1]->type != HTP_TYPE_I64) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
@@ -102,8 +114,8 @@ int op_get_rows(struct htp_ops_context * octx) {
 
     struct get_rows_context grctx;
     grctx.octx = octx;
-    grctx.get_rows_div_ne10      = init_fastdiv_values(octx->src1.ne[0]);
-    grctx.get_rows_div_ne10_ne11 = init_fastdiv_values(octx->src1.ne[0] * octx->src1.ne[1]);
+    grctx.get_rows_div_ne10      = init_fastdiv_values(octx->src[1]->ne[0]);
+    grctx.get_rows_div_ne10_ne11 = init_fastdiv_values(octx->src[1]->ne[0] * octx->src[1]->ne[1]);
 
     grctx.src1_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
diff --git a/ggml/src/ggml-hexagon/htp/hex-dma.c b/ggml/src/ggml-hexagon/htp/hex-dma.c
index 44e1be40c5d7e8c20538326a8c6ad3f2eb0d2620..b66e2d2603ceab27f61d475c35f1805345991dd7 100644
--- a/ggml/src/ggml-hexagon/htp/hex-dma.c
+++ b/ggml/src/ggml-hexagon/htp/hex-dma.c
@@ -31,8 +31,8 @@ dma_queue * dma_queue_create(size_t capacity) {
     q->capacity = capacity;
     q->idx_mask = capacity - 1;
 
-    q->desc = (hexagon_udma_descriptor_type1_t *) memalign(64, capacity * sizeof(hexagon_udma_descriptor_type1_t));
-    memset(q->desc, 0, capacity * sizeof(hexagon_udma_descriptor_type1_t));
+    q->desc = (dma_descriptor_2d *) memalign(64, capacity * sizeof(dma_descriptor_2d));
+    memset(q->desc, 0, capacity * sizeof(dma_descriptor_2d));
 
     q->dptr = (dma_ptr *) memalign(4, capacity * sizeof(dma_ptr));
     memset(q->dptr, 0, capacity * sizeof(dma_ptr));
diff --git a/ggml/src/ggml-hexagon/htp/hex-dma.h b/ggml/src/ggml-hexagon/htp/hex-dma.h
index 350ab9d966f9a382818bf26102876d38c9729044..7685473f4631200bc52993adf80f49e1e49c27ed 100644
--- a/ggml/src/ggml-hexagon/htp/hex-dma.h
+++ b/ggml/src/ggml-hexagon/htp/hex-dma.h
@@ -10,19 +10,84 @@
 extern "C" {
 #endif
 
+// Define the HW descriptor structs here since the ones in HexSDK are a bit out of date
+typedef struct dma_descriptor_1d_s {
+    void *   next;
+    uint32_t size:24;
+    uint32_t desc_size:2;
+    uint32_t dst_comp:1;
+    uint32_t src_comp:1;
+    uint32_t dst_bypass:1;
+    uint32_t src_bypass:1;
+    uint32_t order:1;
+    uint32_t done:1;
+    void *   src;
+    void *   dst;
+} dma_descriptor_1d;
+
+#if __HVX_ARCH__ < 75
+
+typedef struct dma_descriptor_2d_s {
+    void *   next;
+    uint32_t reserved0:24;
+    uint32_t desc_size:2;
+    uint32_t dst_comp:1;
+    uint32_t src_comp:1;
+    uint32_t dst_bypass:1;
+    uint32_t src_bypass:1;
+    uint32_t order:1;
+    uint32_t done:1;
+    void *   src;
+    void *   dst;
+    uint32_t desc_type:8;
+    uint32_t reserved1:24;
+    uint32_t row_size:16;
+    uint32_t nrows:16;
+    uint32_t src_stride:16;
+    uint32_t dst_stride:16;
+    uint32_t src_offset:16;
+    uint32_t dst_offset:16;
+} dma_descriptor_2d;
+
+#else
+
+typedef struct dma_descriptor_2d_s {
+    void *   next;
+    uint32_t dst_stride:24;
+    uint32_t desc_size:2;
+    uint32_t dst_comp:1;
+    uint32_t src_comp:1;
+    uint32_t dst_bypass:1;
+    uint32_t src_bypass:1;
+    uint32_t order:1;
+    uint32_t done:1;
+    void *   src;
+    void *   dst;
+    uint32_t desc_type:8;
+    uint32_t reserved0:24;
+    uint32_t row_size:24;
+    uint32_t nrows_lo:8;
+    uint32_t nrows_hi:8;
+    uint32_t src_stride:24;
+    uint32_t offset:24;
+    uint32_t reserved1:8;
+} dma_descriptor_2d;
+
+#endif
+
 typedef struct {
-    void *dst;
+    void       *dst;
     const void *src;
 } dma_ptr;
 
 typedef struct {
-    hexagon_udma_descriptor_type1_t * desc;  // descriptor pointers
-    hexagon_udma_descriptor_type1_t * tail;  // tail pointer
-    dma_ptr                         * dptr;  // dst/src pointers
-    uint32_t                          push_idx;
-    uint32_t                          pop_idx;
-    uint32_t                          capacity;
-    uint32_t                          idx_mask;
+    dma_descriptor_2d * desc;  // descriptor pointers
+    dma_descriptor_2d * tail;  // tail pointer
+    dma_ptr           * dptr;  // dst/src pointers
+    uint32_t            push_idx;
+    uint32_t            pop_idx;
+    uint32_t            capacity;
+    uint32_t            idx_mask;
 } dma_queue;
 
 dma_queue * dma_queue_create(size_t capacity);
@@ -59,71 +124,95 @@ static inline dma_ptr dma_make_ptr(void *dst, const void *src)
     return p;
 }
 
-static inline bool dma_queue_push(dma_queue * q,
-                                  dma_ptr     dptr,
-                                  size_t      dst_row_size,
-                                  size_t      src_row_size,
-                                  size_t      width, // width in bytes. number of bytes to transfer per row
-                                  size_t      nrows) {
+#if __HVX_ARCH__ < 73
+static const uint32_t dma_src_l2_bypass_on = 1;
+static const uint32_t dma_dst_l2_bypass_on = 0;
+#else
+static const uint32_t dma_src_l2_bypass_on = 1;
+static const uint32_t dma_dst_l2_bypass_on = 1;
+#endif
+
+static inline bool dma_queue_push_single_1d(dma_queue * q, dma_ptr dptr, size_t size) {
     if (((q->push_idx + 1) & q->idx_mask) == q->pop_idx) {
-        FARF(ERROR, "dma-push: queue full\n");
+        FARF(HIGH, "dma-push: queue full\n");
         return false;
     }
 
-    hexagon_udma_descriptor_type1_t * desc = &q->desc[q->push_idx];
+    dma_descriptor_1d * desc = (dma_descriptor_1d *) &q->desc[q->push_idx];
+    desc->next       = NULL;
+    desc->desc_size  = 0; // 1D mode
+    desc->src_bypass = dma_src_l2_bypass_on;
+    desc->dst_bypass = dma_dst_l2_bypass_on;
+    desc->order      = 0;
+    desc->done       = 0;
+    desc->src        = (void *) dptr.src;
+    desc->dst        = (void *) dptr.dst;
+    desc->size       = size;
+
+    q->dptr[q->push_idx] = dptr;
+
+    if (size) {
+        dmlink(q->tail, desc);
+        q->tail = (dma_descriptor_2d *) desc;
+    } else {
+        desc->done = 1;
+    }
+
+    // FARF(ERROR, "dma-push: i %u row-size %u nrows %d dst %p src %p\n", q->push_idx, row_size, nrows, dptr.dst, dptr.src);
+    q->push_idx = (q->push_idx + 1) & q->idx_mask;
+    return true;
+}
+
+static inline bool dma_queue_push_single_2d(dma_queue * q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t row_size, size_t nrows) {
+    if (((q->push_idx + 1) & q->idx_mask) == q->pop_idx) {
+        FARF(HIGH, "dma-push: queue full\n");
+        return false;
+    }
+
+    dma_descriptor_2d * desc = &q->desc[q->push_idx];
 
     desc->next           = NULL;
-    desc->length         = 0;
-    desc->desctype       = HEXAGON_UDMA_DESC_DESCTYPE_TYPE1;
-    desc->dstbypass      = 1;
-    desc->srcbypass      = 1;
-#if __HVX_ARCH__ >= 73
-    desc->dstbypass      = 1;
-    desc->srcbypass      = 1;
-#else
-    desc->dstbypass      = 0;
-    desc->srcbypass      = 1;
-#endif
+    desc->reserved0      = 0;
+    desc->reserved1      = 0;
+    desc->desc_size      = 1; // 2d mode
+    desc->src_bypass     = dma_src_l2_bypass_on;
+    desc->dst_bypass     = dma_dst_l2_bypass_on;
+    desc->src_comp       = 0;
+    desc->dst_comp       = 0;
     desc->order          = 0;
-    desc->dstate         = HEXAGON_UDMA_DESC_DSTATE_INCOMPLETE;
+    desc->done           = 0;
+    desc->src_stride     = src_stride;
+    desc->dst_stride     = dst_stride;
     desc->src            = (void *) dptr.src;
     desc->dst            = (void *) dptr.dst;
-    desc->allocation     = 0;
-    desc->padding        = 0;
-    desc->roiwidth       = width;
-    desc->roiheight      = nrows;
-    desc->srcstride      = src_row_size;
-    desc->dststride      = dst_row_size;
-    desc->srcwidthoffset = 0;
-    desc->dstwidthoffset = 0;
+    desc->row_size       = row_size;
+
+#if __HVX_ARCH__ < 75
+    desc->desc_type      = 0; // 2d (16-bit) mode
+    desc->nrows          = nrows;
+    desc->src_offset     = 0;
+    desc->dst_offset     = 0;
+#else
+    desc->desc_type      = 9; // 2d (24-bit) mode
+    desc->nrows_lo       = (nrows & 0xff);
+    desc->nrows_hi       = (nrows >> 8);
+    desc->offset         = 0;
+#endif
 
     q->dptr[q->push_idx] = dptr;
 
-    dmlink(q->tail, desc);
-    q->tail = desc;
+    if (nrows) {
+        dmlink(q->tail, desc);
+        q->tail = desc;
+    } else {
+        desc->done = 1;
+    }
 
-    // FARF(ERROR, "dma-push: i %u width %u nrows %d dst %p src %p\n", q->push_idx, width, nrows, dptr.dst, dptr.src);
+    // FARF(ERROR, "dma-push: i %u row-size %u nrows %d dst %p src %p\n", q->push_idx, row_size, nrows, dptr.dst, dptr.src);
     q->push_idx = (q->push_idx + 1) & q->idx_mask;
     return true;
 }
 
-static inline bool dma_queue_push_ddr_to_vtcm(dma_queue * q,
-                                              dma_ptr     dptr,
-                                              size_t      dst_row_size,
-                                              size_t      src_row_size,
-                                              size_t      nrows) {
-    return dma_queue_push(q, dptr, dst_row_size, src_row_size, src_row_size, nrows);
-}
-
-
-static inline bool dma_queue_push_vtcm_to_ddr(dma_queue * q,
-                                              dma_ptr     dptr,
-                                              size_t      dst_row_size,
-                                              size_t      src_row_size,
-                                              size_t      nrows) {
-    return dma_queue_push(q, dptr, dst_row_size, src_row_size, dst_row_size, nrows);
-}
-
 static inline dma_ptr dma_queue_pop(dma_queue * q) {
     dma_ptr dptr  = { NULL };
 
@@ -131,15 +220,12 @@ static inline dma_ptr dma_queue_pop(dma_queue * q) {
         return dptr;
     }
 
-    hexagon_udma_descriptor_type1_t * desc = &q->desc[q->pop_idx];
+    dma_descriptor_2d * desc = &q->desc[q->pop_idx];
 
     // Wait for desc to complete
-    while (1) {
-        dmpoll();
-        if (desc->dstate == HEXAGON_UDMA_DESC_DSTATE_COMPLETE) {
-            break;
-        }
+    while (!desc->done) {
         // FARF(ERROR, "dma-pop: waiting for DMA : %u\n", q->pop_idx);
+        dmpoll();
     }
 
     dptr = q->dptr[q->pop_idx];
@@ -175,6 +261,110 @@ static inline uint32_t dma_queue_capacity(dma_queue * q) {
     return q->capacity;
 }
 
+#if __HVX_ARCH__ < 75
+
+// Overflow-safe DMA push: all 2d descriptor fields (row_size, nrows, src_stride, dst_stride) are 16-bit, max 65535.
+// This version transparently handles values that exceed the 16-bit limit and submits chained DMA transtions.
+
+#define DMA_MAX_FIELD_VAL 65535u
+
+static inline bool dma_queue_push(dma_queue *q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t row_size, size_t nrows) {
+    // Fast path: everything fits in 16 bits
+    if (nrows == 0 || __builtin_expect(
+            row_size   <= DMA_MAX_FIELD_VAL &&
+            nrows      <= DMA_MAX_FIELD_VAL &&
+            src_stride <= DMA_MAX_FIELD_VAL &&
+            dst_stride <= DMA_MAX_FIELD_VAL, 1)) {
+        return dma_queue_push_single_2d(q, dptr, dst_stride, src_stride, row_size, nrows);
+    }
+
+    // Contiguous block
+    // Use 1d DMA mode which supports sizes up to 24-bits (16MB)
+    if (nrows == 1 || (row_size == src_stride && row_size == dst_stride)) {
+        size_t total = row_size * nrows;
+        return dma_queue_push_single_1d(q, dptr, total);
+    }
+
+    // Stride overflow — fall back to row-by-row.
+    {
+        const uint8_t *src = (const uint8_t *) dptr.src;
+        uint8_t       *dst = (uint8_t *)       dptr.dst;
+        for (size_t r = 0; r < nrows; ++r) {
+            dma_ptr p = dma_make_ptr(dst + r * dst_stride, src + r * src_stride);
+            if (!dma_queue_push_single_1d(q, p, row_size))
+                return false;
+            if (r + 1 < nrows)
+                dma_queue_pop(q);
+        }
+        return true;
+    }
+}
+
+#else // HVX_ARCH >= 75
+
+static inline bool dma_queue_push(dma_queue *q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t row_size, size_t nrows) {
+    // On v75 and up we always use 2d 24-bit mode
+    return dma_queue_push_single_2d(q, dptr, dst_stride, src_stride, row_size, nrows);
+}
+
+#endif
+
+static inline bool dma_queue_push_ddr_to_vtcm(dma_queue * q, dma_ptr dptr, size_t dst_row_size, size_t src_row_size, size_t nrows) {
+    return dma_queue_push(q, dptr, dst_row_size, src_row_size, src_row_size, nrows);
+}
+
+static inline bool dma_queue_push_vtcm_to_ddr(dma_queue * q, dma_ptr dptr, size_t dst_row_size, size_t src_row_size, size_t nrows) {
+    return dma_queue_push(q, dptr, dst_row_size, src_row_size, dst_row_size, nrows);
+}
+
+#define DMA_CACHE_MAX_SIZE 64U
+
+typedef struct {
+    uint8_t *base;
+    uint32_t line_size;
+    uint32_t capacity;
+    uint32_t src[DMA_CACHE_MAX_SIZE];
+    uint16_t age[DMA_CACHE_MAX_SIZE];
+} dma_cache;
+
+static inline void dma_cache_init(dma_cache *c, uint8_t *base, uint32_t line_size, uint32_t capacity)
+{
+    c->capacity  = (capacity > DMA_CACHE_MAX_SIZE) ? DMA_CACHE_MAX_SIZE : capacity;
+    c->base      = base;
+    c->line_size = line_size;
+
+    for (unsigned i=0; i < c->capacity; i++) {
+        c->src[i] = 0;
+        c->age[i] = 0;
+    }
+}
+
+static inline bool dma_cache_push(dma_queue *q, dma_cache *c, const uint8_t * src, uint32_t dst_stride, uint32_t src_stride, uint32_t row_size, uint32_t nrows)
+{
+    uint32_t o_idx = 0;
+    uint16_t o_age = 0;
+    uint8_t *  dst = 0;
+
+    for (unsigned i=0; i < c->capacity; i++) {
+        if (c->src[i] == (uint32_t) src) {
+            c->age[i] = 0;
+            dst = c->base + (i * c->line_size); nrows = 0; // dummy dma
+            // FARF(ERROR, "dma-cache: found %p", src);
+        } else {
+            c->age[i]++;
+            if (c->age[i] > o_age) { o_age = c->age[i]; o_idx = i; }
+        }
+    }
+    if (!dst) {
+        // FARF(ERROR, "dma-cache: replacing #%u : age %u %p -> %p", o_idx, c->age[o_idx], (void *) c->src[o_idx], src);
+        c->age[o_idx] = 0;
+        c->src[o_idx] = (uint32_t) src;
+        dst = c->base + o_idx * c->line_size; // normal nrows dma
+    }
+
+    return dma_queue_push(q, dma_make_ptr(dst, src), dst_stride, src_stride, row_size, nrows);
+}
+
 #ifdef __cplusplus
 }  // extern "C"
 #endif
diff --git a/ggml/src/ggml-hexagon/htp/hex-dump.h b/ggml/src/ggml-hexagon/htp/hex-dump.h
index e3badb57f92e1fa0b4497a563a4c69a7469dadb3..19d173c223285fed6f019508758178caadf9e0c9 100644
--- a/ggml/src/ggml-hexagon/htp/hex-dump.h
+++ b/ggml/src/ggml-hexagon/htp/hex-dump.h
@@ -21,6 +21,15 @@ static inline void hex_dump_uint8_line(char * pref, const uint8_t * x, uint32_t
     FARF(HIGH, "%s\n", str);
 }
 
+static inline void hex_dump_uint32_line(char * pref, const uint32_t * x, uint32_t n) {
+    char str[1024], *p = str, *p_end = str + sizeof(str);
+    p += snprintf(p, p_end - p, "%s: ", pref);
+    for (int i = 0; i < n; i++) {
+        p += snprintf(p, p_end - p, "%u, ", (unsigned int) x[i]);
+    }
+    FARF(HIGH, "%s\n", str);
+}
+
 static inline void hex_dump_int32_line(char * pref, const int32_t * x, uint32_t n) {
     char str[1024], *p = str, *p_end = str + sizeof(str);
     p += snprintf(p, p_end - p, "%s: ", pref);
diff --git a/ggml/src/ggml-hexagon/htp/hex-utils.h b/ggml/src/ggml-hexagon/htp/hex-utils.h
index fb8a25a3f2041212275036f797a6672a165070e2..f6713c5cf8fd0eb0da984f7474b9907ac4167f8a 100644
--- a/ggml/src/ggml-hexagon/htp/hex-utils.h
+++ b/ggml/src/ggml-hexagon/htp/hex-utils.h
@@ -3,8 +3,10 @@
 
 #include <stdbool.h>
 #include <stdint.h>
+#include <qurt_memory.h>
 
 #include "hexagon_types.h"
+#include "hexagon_protos.h"
 
 #include "hex-fastdiv.h"
 #include "hex-dump.h"
@@ -29,10 +31,30 @@ static inline uint64_t hex_get_pktcnt() {
     return pktcnt;
 }
 
-static inline int32_t hex_is_aligned(void * addr, uint32_t align) {
+static inline uint32_t hex_ceil_pow2(uint32_t x) {
+    if (x <= 1) { return 1; }
+    int p = 2;
+    x--;
+    while (x >>= 1) { p <<= 1; }
+    return p;
+}
+
+static inline size_t hmx_ceil_div(size_t num, size_t den) {
+    return (num + den - 1) / den;
+}
+
+static inline int32_t hex_is_aligned(const void * addr, uint32_t align) {
     return ((size_t) addr & (align - 1)) == 0;
 }
 
+static inline size_t hex_align_up(size_t v, size_t align) {
+    return hmx_ceil_div(v, align) * align;
+}
+
+static inline size_t hex_align_down(size_t v, size_t align) {
+    return (v / align) * align;
+}
+
 static inline int32_t hex_is_one_chunk(void * addr, uint32_t n, uint32_t chunk_size) {
     uint32_t left_off  = (size_t) addr & (chunk_size - 1);
     uint32_t right_off = left_off + n;
@@ -43,9 +65,39 @@ static inline uint32_t hex_round_up(uint32_t n, uint32_t m) {
     return m * ((n + m - 1) / m);
 }
 
+static inline size_t hex_smin(size_t a, size_t b) {
+    return a < b ? a : b;
+}
+
+static inline size_t hex_smax(size_t a, size_t b) {
+    return a > b ? a : b;
+}
+
 static inline void hex_l2fetch(const void * p, uint32_t width, uint32_t stride, uint32_t height) {
     const uint64_t control = Q6_P_combine_RR(stride, Q6_R_combine_RlRl(width, height));
     Q6_l2fetch_AP((void *) p, control);
 }
 
+#define HEX_L2_LINE_SIZE  64
+#define HEX_L2_FLUSH_SIZE (128 * 1024)
+
+static inline void hex_l2flush(void * addr, size_t size) {
+    if (size > HEX_L2_FLUSH_SIZE) {
+        qurt_mem_cache_clean((qurt_addr_t) 0, 0, QURT_MEM_CACHE_FLUSH_INVALIDATE_ALL, QURT_MEM_DCACHE);
+    } else {
+        const uint32_t s = (uint32_t) addr;
+        const uint32_t e = s + size;
+        for (uint32_t i = s; i < e; i += HEX_L2_LINE_SIZE * 4) {
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 0);
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 1);
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 2);
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 3);
+        }
+    }
+}
+
+static inline void hex_pause() {
+    asm volatile(" pause(#255)\n");
+}
+
 #endif /* HEX_UTILS_H */
diff --git a/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
new file mode 100644
index 0000000000000000000000000000000000000000..dbca8220fab1cfd305cc66b20c6df2c2f3f29301
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
@@ -0,0 +1,1810 @@
+#pragma clang diagnostic ignored "-Wgnu-zero-variadic-macro-arguments"
+#pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <assert.h>
+#include <stdbool.h>
+#include <stddef.h>
+#include <stdint.h>
+#include <string.h>
+
+#include <HAP_farf.h>
+#include <HAP_compute_res.h>
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+
+#include "hex-dma.h"
+#include "worker-pool.h"
+
+#include "hvx-utils.h"
+#include "hvx-dump.h"
+#include "htp-ctx.h"
+#include "htp-ops.h"
+
+#include "hmx-ops.h"
+#include "hmx-utils.h"
+#include "hmx-queue.h"
+#include "hmx-profile.h"
+
+static const __fp16 q4_0_to_fp16_lut[64] __attribute__((aligned(VLEN))) = {
+    -8, 0, -7, 0, -6, 0, -5, 0, -4, 0, -3, 0, -2, 0, -1, 0, 0, 0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0, 7, 0,
+};
+
+// MXFP4 dequantization LUT: maps 4-bit index to fp16 mantissa value
+// kvalues: 0, 0.5, 1, 1.5, 2, 3, 4, 6, 0, -0.5, -1, -1.5, -2, -3, -4, -6
+static const __fp16 mxfp4_to_fp16_lut[64] __attribute__((aligned(VLEN))) = {
+    0, 0, 0.5, 0, 1, 0, 1.5, 0, 2, 0, 3, 0, 4, 0, 6, 0, 0, 0, -0.5, 0, -1, 0, -1.5, 0, -2, 0, -3, 0, -4, 0, -6, 0,
+};
+
+static const __fp16 iq4_nl_to_fp16_lut[64] __attribute__((aligned(VLEN))) = {
+    -127, 0, -104, 0, -83, 0, -65, 0, -49, 0, -35, 0, -22, 0, -10, 0,
+    1,    0, 13,   0, 25,  0, 38,  0, 53,  0, 69,  0, 89,  0, 113, 0,
+};
+
+// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile.
+// word[i] = i*128 maps K-row-pair i to byte offset i*128 in the tile.
+// Column offset (n*4) is added at runtime.  Only entries 0..15 are used (masked by predicate).
+static const int32_t weight_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = {
+    0*128,  1*128,  2*128,  3*128,  4*128,  5*128,  6*128,  7*128,
+    8*128,  9*128, 10*128, 11*128, 12*128, 13*128, 14*128, 15*128,
+    16*128, 17*128, 18*128, 19*128, 20*128, 21*128, 22*128, 23*128,
+    24*128, 25*128, 26*128, 27*128, 28*128, 29*128, 30*128, 31*128
+};
+
+// Scales per x4x2 logical block: 8 × sizeof(__fp16) = 16 bytes
+#define HMX_X4X2_SCALES_PER_BLK  8
+#define HMX_X4X2_DBLK_SIZE       16  // 8 * 2 bytes (fp16 scales for Q4_0/Q8_0/IQ4_NL)
+#define HMX_X4X2_MXFP4_EBLK_SIZE 8   // 8 * 1 byte  (E8M0 scales for MXFP4)
+
+static inline void swap_ptr(void **p1, void **p2) {
+    void *t = *p1;
+    *p1     = *p2;
+    *p2     = t;
+}
+
+typedef struct {
+    uint8_t       *dst;
+    const uint8_t *src;
+    dma_queue     *dma;
+    size_t         n_rows;
+    size_t         src_stride;   // DDR row stride (full row_stride)
+    size_t         dst_stride;   // VTCM sub-block row stride
+    size_t         quant_off;    // quant byte offset in each DDR row
+    size_t         quant_width;  // quant bytes to copy per row
+    size_t         scale_off;    // scale byte offset in each DDR row
+    size_t         scale_width;  // scale bytes to copy per row
+} qweight_fetch_task_state_t;
+
+// Compute the byte stride of one row in x4x2 format.
+// Numerically equals ggml_row_size(type, k) when k is 256-aligned, because
+// x4x2 packing has the same density as block_q4_0 / block_q8_0.
+// Layout per row: [quants: nb*128 (Q4) or nb*256 (Q8)][scales: nb*16 bytes]
+// Total per row = nb * (128+16) = 144*nb (Q4) or nb * (256+16) = 272*nb (Q8).
+// Callers must ensure k is a multiple of 256 (enforced by proc_hmx_matmul_req).
+static inline size_t get_x4x2_row_stride(int weight_type, int k) {
+    int nb = (k + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2;
+    switch (weight_type) {
+        case HTP_TYPE_Q4_0:
+        case HTP_TYPE_IQ4_NL:
+            return (size_t) nb * (QK_Q4_0x4x2 / 2 + HMX_X4X2_DBLK_SIZE);         // 144 * nb
+        case HTP_TYPE_Q8_0:
+            return (size_t) nb * (QK_Q8_0x4x2 + HMX_X4X2_DBLK_SIZE);             // 272 * nb
+        case HTP_TYPE_MXFP4:
+            return (size_t) nb * (QK_MXFP4x4x2 / 2 + HMX_X4X2_MXFP4_EBLK_SIZE);  // 136 * nb
+        default:
+            return 0;
+    }
+}
+
+// --- Overflow-safe arithmetic for VTCM budget calculation ---
+
+static inline bool hmx_mul_overflow(size_t a, size_t b, size_t *out) {
+    if (a != 0 && b > SIZE_MAX / a) return true;
+    *out = a * b;
+    return false;
+}
+
+static inline bool hmx_add_overflow(size_t a, size_t b, size_t *out) {
+    if (a > SIZE_MAX - b) return true;
+    *out = a + b;
+    return false;
+}
+
+// Search for optimal (mc, nc) chunk sizes within VTCM budget.
+//
+// VTCM model: nc * per_n_cost + mc * per_m_cost + mc * nc * per_mn_cost + overhead
+//
+// Minimize ceil(m/mc) * m_block_cost + ceil(n/nc) * n_block_cost.
+// All matmul paths repeat weight processing per M-block and activation loading
+// per N-block, so discrete block counts drive total overhead.
+// Tie-break: when cost is equal, prefer larger mc * nc.
+//
+// Caller-provided coefficients:
+//   m_block_cost: penalty per extra M-block (weight redundancy, scales with n).
+//   n_block_cost: penalty per extra N-block (activation redundancy, scales with m).
+//
+// Algorithm: nc sweeps from n_max down by 32, analytically solving for mc_max.
+// Returns 0 on success, -1 if VTCM is insufficient.
+static int hmx_compute_chunks(size_t   vtcm_total,
+                              size_t   overhead,
+                              size_t   per_n_cost,
+                              size_t   per_m_cost,
+                              size_t   per_mn_cost,
+                              int      m,
+                              int      n,
+                              size_t   m_block_cost,
+                              size_t   n_block_cost,
+                              size_t * m_chunk_out,
+                              size_t * n_chunk_out,
+                              size_t * total_out) {
+    if (m <= 0 || n <= 0) return -1;
+    if (vtcm_total <= overhead) return -1;
+    if (per_n_cost == 0 || per_m_cost == 0 || per_mn_cost == 0) return -1;
+
+    const size_t usable = vtcm_total - overhead;
+
+    size_t best_cost = SIZE_MAX;
+    size_t best_mn   = 0;
+    size_t best_m = 0, best_n = 0;
+
+    const size_t n_max = hex_align_down((size_t)n, HMX_FP16_TILE_N_COLS);
+    for (size_t nc = n_max; nc >= HMX_FP16_TILE_N_COLS; nc -= HMX_FP16_TILE_N_COLS) {
+        size_t n_fixed = 0, ncmn = 0, mc_denom = 0;
+        if (hmx_mul_overflow(nc, per_n_cost, &n_fixed)) continue;
+        if (n_fixed >= usable) goto next_nc;
+
+        if (hmx_mul_overflow(nc, per_mn_cost, &ncmn)) goto next_nc;
+        if (hmx_add_overflow(per_m_cost, ncmn, &mc_denom) || mc_denom == 0) goto next_nc;
+
+        {
+            size_t remain = usable - n_fixed;
+            size_t mc = remain / mc_denom;
+            mc = hex_align_down(mc, HMX_FP16_TILE_N_ROWS);
+            mc = hex_smin(mc, (size_t)m);
+
+            if (mc == 0) {
+                goto next_nc;
+            }
+
+            size_t mblocks = ((size_t) m + mc - 1) / mc;
+            size_t nblocks = ((size_t) n + nc - 1) / nc;
+            size_t cost    = mblocks * m_block_cost + nblocks * n_block_cost;
+            size_t mn      = mc * nc;
+            if (cost < best_cost || (cost == best_cost && mn > best_mn)) {
+                best_cost = cost;
+                best_mn   = mn;
+                best_m    = mc;
+                best_n    = nc;
+            }
+        }
+
+next_nc:
+        if (nc == HMX_FP16_TILE_N_COLS) break;  // avoid size_t underflow
+    }
+
+    if (best_m == 0 || best_n == 0) return -1;
+
+    // Compute exact total (with overflow checks)
+    size_t t0 = 0, t1 = 0, t2 = 0, mn = 0, total = 0;
+    if (hmx_mul_overflow(best_n, per_n_cost, &t0)) return -1;
+    if (hmx_mul_overflow(best_m, per_m_cost, &t1)) return -1;
+    if (hmx_mul_overflow(best_m, best_n, &mn)) return -1;
+    if (hmx_mul_overflow(mn, per_mn_cost, &t2)) return -1;
+    if (hmx_add_overflow(t0, t1, &total)) return -1;
+    if (hmx_add_overflow(total, t2, &total)) return -1;
+    if (hmx_add_overflow(total, overhead, &total)) return -1;
+
+    *m_chunk_out = best_m;
+    *n_chunk_out = best_n;
+    *total_out   = total;
+    return 0;
+}
+
+// forward declaration – defined after transfer_activation_chunk_fp32_to_fp16
+void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride);
+
+// Scatter row-major FP16 weight (already in VTCM scratch) directly into transposed [K][N] tiles.
+// vtcm_src: [n_cols][k] row-major fp16 in VTCM scratch buffer
+// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16
+static void interleave_fp16_weight_chunk_to_tiles(__fp16 *restrict vtcm_dst,
+                                                   const __fp16 *restrict vtcm_src,
+                                                   int n_cols, int k) {
+    assert(n_cols % HMX_FP16_TILE_N_COLS == 0);
+    assert(k % HMX_FP16_TILE_N_COLS == 0);
+
+    const int n_k_tiles = k / HMX_FP16_TILE_N_COLS;
+    const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets);
+    const HVX_Vector v_scat_step = Q6_V_vsplat_R(4);
+    const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64);
+
+    for (int r = 0; r < n_cols; r += 2) {
+        int ct = r / HMX_FP16_TILE_N_ROWS;       // N-dimension tile index
+        int local_r = r % HMX_FP16_TILE_N_ROWS;  // intra-tile row index
+        const bool next_row_valid = (r + 1) < n_cols;
+
+        // Offset vectors for N-columns local_r and local_r+1, reused across K-tiles.
+        HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4));
+        HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step);
+
+        for (int c = 0; c < k; c += HMX_FP16_TILE_N_COLS) {
+            int kt       = c / HMX_FP16_TILE_N_COLS;
+            int tile_idx = ct * n_k_tiles + kt;
+            __fp16 *tile_base = vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS;
+
+            HVX_Vector v0 = hvx_vmemu(vtcm_src + r * k + c);
+            HVX_Vector v1 = next_row_valid ? hvx_vmemu(vtcm_src + (r + 1) * k + c) : Q6_V_vzero();
+
+            Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off0, v0);
+            Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off1, v1);
+        }
+    }
+}
+
+// --- x4x2 format dequantizers ---
+
+// Dequantize one x4x2 Q4_0 group (32 elements from 32 packed bytes) -> 32 FP16 in first 64 bytes.
+// In x4x2, sub-blocks 0..3 use lower nibbles, sub-blocks 4..7 use upper nibbles
+// of the same 32 packed bytes.
+static inline HVX_Vector dequantize_x4x2_q4_0_group_hvx(
+         const uint8_t *packed_32, bool upper_nibbles,
+         const __fp16 *scale, const HVX_Vector vlut_cvt) {
+    HVX_Vector vq = hvx_vmemu(packed_32);
+    const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
+    HVX_Vector v_scales = hvx_vec_splat_f16(*scale);
+    // q4x4x2 stores two int4 values per byte. Keep only the selected nibble.
+    HVX_Vector v_quants =  Q6_Vub_vlsr_VubR(vq, 4 * upper_nibbles);
+    v_quants = Q6_V_vand_VV(v_quants, mask_h4);
+    // Shuffle before LUT
+    v_quants = Q6_Vb_vshuff_Vb(v_quants);
+    // Use standard vlut16 (not _nomatch) to avoid stale-register NaN.
+    // _nomatch retains the previous destination-register value for colliding
+    // indices, but the C intrinsic doesn't model the implicit read so the
+    // compiler may allocate a register containing garbage/NaN.
+    HVX_VectorPair vp = Q6_Wh_vlut16_VbVhR(v_quants, vlut_cvt, 0);
+    HVX_Vector v_hf = Q6_V_lo_W(vp);
+
+    return Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hf, v_scales));
+}
+
+// Batch-dequantize 4 contiguous x4x2 Q4_0 groups (4x32 = 128 packed bytes) using
+// full HVX vector width.  One vmemu + one vlut16 replaces 4 separate calls.
+// Output: out[0..3] each hold 32 FP16 values in the first 64 bytes.
+static inline void dequantize_x4x2_q4_0_x4groups_hvx(
+            const uint8_t *packed_128, bool upper_nibbles,
+            const __fp16 *scales_4, const HVX_Vector vlut_cvt,
+            HVX_Vector out[4]) {
+    // Load all 128 packed bytes (4 contiguous 32-byte groups)
+    HVX_Vector vq = hvx_vmemu(packed_128);
+    const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
+    HVX_Vector v_quants = Q6_Vub_vlsr_VubR(vq, 4 * upper_nibbles);
+    v_quants = Q6_V_vand_VV(v_quants, mask_h4);
+
+    // Shuffle before LUT
+    v_quants = Q6_Vb_vshuff_Vb(v_quants);
+
+    // Full-width vlut16: 128 byte lookups -> 128 fp16 results in a VectorPair
+    HVX_VectorPair vp = Q6_Wh_vlut16_VbVhR(v_quants, vlut_cvt, 0);
+    HVX_Vector v_lo = Q6_V_lo_W(vp);  // [group0: 32 fp16 | group1: 32 fp16]
+    HVX_Vector v_hi = Q6_V_hi_W(vp);  // [group2: 32 fp16 | group3: 32 fp16]
+
+    // Build per-group scale vectors: first 64 bytes use scale_a, last 64 use scale_b
+    HVX_VectorPred q64 = Q6_Q_vsetq_R(64);
+    HVX_Vector v_sc01 = Q6_V_vmux_QVV(q64, hvx_vec_splat_f16(scales_4[0]), hvx_vec_splat_f16(scales_4[1]));
+    HVX_Vector v_sc23 = Q6_V_vmux_QVV(q64, hvx_vec_splat_f16(scales_4[2]), hvx_vec_splat_f16(scales_4[3]));
+
+    v_lo = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_lo, v_sc01));
+    v_hi = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hi, v_sc23));
+
+    // Extract individual groups: scatter uses q_mask64 so only first 64 bytes matter
+    out[0] = v_lo; // group0 already in [0:63]
+    out[1] = v_hi; // group2 already in [0:63]
+}
+
+// Dequantize one x4x2 Q8_0 group (32 int8 quants) -> 32 FP16 in first 64 bytes.
+static inline HVX_Vector dequantize_x4x2_q8_0_group_hvx(
+        const int8_t *quants_32, const __fp16 *scale) {
+    HVX_Vector vq = hvx_vmemu(quants_32);
+    HVX_Vector v_scales = hvx_vec_splat_f16(*scale);
+    HVX_Vector v0 = Q6_V_lo_W(Q6_Wh_vunpack_Vb(vq));
+    HVX_Vector v_hf = Q6_Vhf_equals_Vh(v0);
+    return Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hf, v_scales));
+}
+
+// --- MXFP4 E8M0 scale conversion and dequantization ---
+//
+// HVX batch-convert 8 E8M0 bytes (one x4x2 block's scales) to __fp16[8] on stack.
+// Scalar loads from the stack array execute on the scalar pipeline, in parallel
+// with HVX vlut16/vmpy/vscatter — freeing HVX slots in the hot loop.
+// Arithmetic: fp16_bits = clamp(e - 112, 0, 30) << 10
+// e=0..112 -> 0 (underflow), e=113..142 -> valid fp16, e>=143 -> clamped to 2^15.
+
+typedef struct {
+    __fp16 v[8] __attribute__((aligned(16)));
+} mxfp4_scales_t;
+
+static inline mxfp4_scales_t mxfp4_convert_scales(const uint8_t * e8m0_8) {
+    mxfp4_scales_t s;
+    HVX_Vector     v  = hvx_vmemu(e8m0_8);
+    HVX_Vector     vh = Q6_V_lo_W(Q6_Wuh_vunpack_Vub(v));
+    vh                = Q6_Vh_vsub_VhVh(vh, Q6_Vh_vsplat_R(112));
+    vh                = Q6_Vh_vmax_VhVh(vh, Q6_V_vzero());
+    vh                = Q6_Vh_vmin_VhVh(vh, Q6_Vh_vsplat_R(30));
+    vh                = Q6_Vh_vasl_VhR(vh, 10);
+    hvx_vec_store_u(s.v, 16, vh);
+    return s;
+}
+
+static inline HVX_Vector mxfp4_extract_splat(mxfp4_scales_t scales, int idx) {
+    return hvx_vec_splat_f16(scales.v[idx]);
+}
+
+// Dequantize one x4x2 MXFP4 group (32 elements from 32 packed bytes) -> 32 FP16.
+static inline HVX_Vector dequantize_x4x2_mxfp4_group_hvx(const uint8_t *  packed_32,
+                                                         bool             upper_nibbles,
+                                                         int              sub_blk,
+                                                         const HVX_Vector vlut_cvt,
+                                                         mxfp4_scales_t   scales) {
+    HVX_Vector       vq       = hvx_vmemu(packed_32);
+    const HVX_Vector mask_h4  = Q6_Vb_vsplat_R(0x0F);
+    HVX_Vector       v_quants = upper_nibbles ? Q6_Vub_vlsr_VubR(vq, 4) : vq;
+    v_quants                  = Q6_V_vand_VV(v_quants, mask_h4);
+
+    HVX_Vector v_sc = mxfp4_extract_splat(scales, sub_blk);
+
+    v_quants            = Q6_Vb_vshuff_Vb(v_quants);
+    HVX_VectorPair vp   = Q6_Wh_vlut16_VbVhR(v_quants, vlut_cvt, 0);
+    HVX_Vector     v_hf = Q6_V_lo_W(vp);
+
+    return Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hf, v_sc));
+}
+
+// Batch-dequantize 4 contiguous x4x2 MXFP4 groups (4x32 = 128 packed bytes).
+static inline void dequantize_x4x2_mxfp4_x4groups_hvx(const uint8_t *  packed_128,
+                                                      bool             upper_nibbles,
+                                                      int              sub_blk_base,
+                                                      const HVX_Vector vlut_cvt,
+                                                      mxfp4_scales_t   scales,
+                                                      HVX_Vector       out[4]) {
+    HVX_Vector       vq       = hvx_vmemu(packed_128);
+    const HVX_Vector mask_h4  = Q6_Vb_vsplat_R(0x0F);
+    HVX_Vector       v_quants = upper_nibbles ? Q6_Vub_vlsr_VubR(vq, 4) : vq;
+    v_quants                  = Q6_V_vand_VV(v_quants, mask_h4);
+
+    v_quants = Q6_Vb_vshuff_Vb(v_quants);
+
+    HVX_VectorPair vp   = Q6_Wh_vlut16_VbVhR(v_quants, vlut_cvt, 0);
+    HVX_Vector     v_lo = Q6_V_lo_W(vp);
+    HVX_Vector     v_hi = Q6_V_hi_W(vp);
+
+    HVX_VectorPred q64    = Q6_Q_vsetq_R(64);
+    HVX_Vector     v_sc01 = Q6_V_vmux_QVV(q64, mxfp4_extract_splat(scales, sub_blk_base + 0),
+                                          mxfp4_extract_splat(scales, sub_blk_base + 1));
+    HVX_Vector     v_sc23 = Q6_V_vmux_QVV(q64, mxfp4_extract_splat(scales, sub_blk_base + 2),
+                                          mxfp4_extract_splat(scales, sub_blk_base + 3));
+
+    v_lo = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_lo, v_sc01));
+    v_hi = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hi, v_sc23));
+
+    out[0] = v_lo;
+    out[1] = Q6_V_vror_VR(v_lo, 64);
+    out[2] = v_hi;
+    out[3] = Q6_V_vror_VR(v_hi, 64);
+}
+
+// Dequantize a tile range from x4x2 weight data (already in VTCM) to tile-major FP16.
+// Input:  vtcm_src has n_cols rows of x4x2 data, each row_stride bytes.
+// Output: vtcm_dst in tile-major FP16 layout.
+static void dequantize_x4x2_weight_to_fp16_tiles_task(
+        __fp16 *restrict vtcm_dst,
+        const uint8_t *restrict vtcm_src,
+        int n_cols, int k_block,
+        size_t row_stride, int weight_type,
+        int start_tile, int end_tile) {
+
+    const int n_k_tiles = (unsigned)k_block / HMX_FP16_TILE_N_COLS;
+    const bool is_q4 = (weight_type == HTP_TYPE_Q4_0 || weight_type == HTP_TYPE_IQ4_NL);
+    const int qrow_size = is_q4 ? ((unsigned)k_block / 2) : k_block;
+
+    const HVX_Vector vlut_cvt = (weight_type == HTP_TYPE_IQ4_NL) ? hvx_vmem(iq4_nl_to_fp16_lut) :
+                                (weight_type == HTP_TYPE_MXFP4)  ? hvx_vmem(mxfp4_to_fp16_lut) :
+                                                                   hvx_vmem(q4_0_to_fp16_lut);
+
+    // vscatter setup: write dequantized K-values directly to transposed [K][N] tile positions.
+    // Each int32 element holds a K-row-pair (2 adjacent fp16 values).  word[i] at offset i*128
+    // maps to K-rows 2i and 2i+1.  Column offset (n*4) added per row.
+    const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets);
+    const HVX_Vector v_scat_step = Q6_V_vsplat_R(4);  // 4 bytes = 1 column step
+    const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64);  // first 16 words (64 bytes)
+
+    unsigned ct = (unsigned)start_tile / n_k_tiles;  // column tile index
+    unsigned kt = (unsigned)start_tile % n_k_tiles;  // K tile index
+    for (unsigned t = start_tile; t < end_tile; ) {
+        if (kt >= n_k_tiles) { kt = 0; ct++; }
+
+        // --- Batch-4 fast path for Q4: process 4 contiguous K-tiles with one vlut16 per row ---
+        if (is_q4 && (kt % 4 == 0) && (t + 4 <= end_tile) && ((t + 3) / n_k_tiles == ct)) {
+            unsigned blk_idx      = (kt * 32) / QK_Q4_0x4x2;
+            unsigned sub_blk_base = ((kt * 32) % QK_Q4_0x4x2) / 32;  // 0 or 4
+            bool upper            = (sub_blk_base >= 4);
+            unsigned packed_off   = blk_idx * (QK_Q4_0x4x2 / 2);     // 128 contiguous packed bytes
+            unsigned scale_off    = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE
+                                  + sub_blk_base * (int)sizeof(__fp16);   // 4 consecutive scales
+
+            __fp16 *tile_bases[4];
+            for (unsigned g = 0; g < 4; g++) { tile_bases[g] = vtcm_dst + (t + g) * HMX_FP16_TILE_N_ELMS; }
+
+            HVX_Vector v_off = v_scat_base;
+
+            unsigned row_offset = ct * HMX_FP16_TILE_N_COLS * row_stride;
+            unsigned row1 = ct * HMX_FP16_TILE_N_COLS + 1;
+
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2, row1 += 2) {
+                HVX_Vector v0[2];
+                const uint8_t *r0 = vtcm_src + row_offset; row_offset += row_stride;
+                dequantize_x4x2_q4_0_x4groups_hvx(r0 + packed_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt, v0);
+                Q6_vscatter_RMVwV((size_t)tile_bases[0], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[0]);
+                Q6_vscatter_RMVwV((size_t)tile_bases[2], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[1]);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+
+
+                r0 = vtcm_src + row_offset; row_offset += row_stride;
+                dequantize_x4x2_q4_0_x4groups_hvx(r0 + packed_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt, v0);
+                Q6_vscatter_RMVwV((size_t)tile_bases[0], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[0]);
+                Q6_vscatter_RMVwV((size_t)tile_bases[2], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[1]);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+            }
+
+            for (int g = 0; g < 4; g++) { (void) *(volatile HVX_Vector *)(tile_bases[g]); }
+            t += 4; kt += 4;
+            continue;
+        }
+
+        // --- Batch-4 fast path for MXFP4: same nibble layout but E8M0 scales ---
+        if (weight_type == HTP_TYPE_MXFP4 && (kt % 4 == 0) && (t + 4 <= end_tile) && ((t + 3) / n_k_tiles == ct)) {
+            int  blk_idx      = (kt * 32) / QK_MXFP4x4x2;
+            int  sub_blk_base = ((kt * 32) % QK_MXFP4x4x2) / 32;                 // 0 or 4
+            bool upper        = (sub_blk_base >= 4);
+            int  packed_off   = blk_idx * (QK_MXFP4x4x2 / 2);                    // 128 contiguous packed bytes
+            int  e8m0_blk_off = qrow_size + blk_idx * HMX_X4X2_MXFP4_EBLK_SIZE;  // all 8 E8M0 scales
+
+            __fp16 * tile_bases[4];
+            for (int g = 0; g < 4; g++) {
+                tile_bases[g] = vtcm_dst + (t + g) * HMX_FP16_TILE_N_ELMS;
+            }
+
+            HVX_Vector v_off = v_scat_base;
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) {
+                int             row0 = ct * HMX_FP16_TILE_N_COLS + r;
+                int             row1 = row0 + 1;
+                const uint8_t * r0   = vtcm_src + row0 * row_stride;
+                const uint8_t * r1   = vtcm_src + row1 * row_stride;
+
+                // Batch-convert all 8 E8M0 scales once per row (stays in HVX register)
+                mxfp4_scales_t r0_e8 = mxfp4_convert_scales(r0 + e8m0_blk_off);
+
+                HVX_Vector v0[4], v1[4];
+                dequantize_x4x2_mxfp4_x4groups_hvx(r0 + packed_off, upper, sub_blk_base, vlut_cvt, r0_e8, v0);
+                if (row1 < n_cols) {
+                    mxfp4_scales_t r1_e8 = mxfp4_convert_scales(r1 + e8m0_blk_off);
+                    dequantize_x4x2_mxfp4_x4groups_hvx(r1 + packed_off, upper, sub_blk_base, vlut_cvt, r1_e8, v1);
+                } else {
+                    v1[0] = v1[1] = v1[2] = v1[3] = Q6_V_vzero();
+                }
+
+                for (int g = 0; g < 4; g++) {
+                    Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_bases[g], HMX_FP16_TILE_SIZE - 1, v_off, v0[g]);
+                }
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+                for (int g = 0; g < 4; g++) {
+                    Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_bases[g], HMX_FP16_TILE_SIZE - 1, v_off, v1[g]);
+                }
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+            }
+
+            for (int g = 0; g < 4; g++) {
+                (void) *(volatile HVX_Vector *) (tile_bases[g]);
+            }
+
+            t += 4;
+            continue;
+        }
+
+        // --- Single-tile fallback ---
+        __fp16 *tile_base = vtcm_dst + t * HMX_FP16_TILE_N_ELMS;
+
+        if (is_q4) {
+            unsigned blk_idx   = (kt * 32) / QK_Q4_0x4x2;
+            unsigned sub_blk   = ((kt * 32) % QK_Q4_0x4x2) / 32;
+            bool upper         = (sub_blk >= 4);
+            unsigned byte_off  = blk_idx * (QK_Q4_0x4x2 / 2) + (upper ? (sub_blk - 4) : sub_blk) * 32;
+            unsigned scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + sub_blk * (int)sizeof(__fp16);
+
+            HVX_Vector v_off = v_scat_base;  // reset to column 0
+            unsigned row_offset = ct * HMX_FP16_TILE_N_COLS * row_stride;
+            unsigned row1 = ct * HMX_FP16_TILE_N_COLS + 1;
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2, row1 += 2) {
+                const uint8_t *r0 = vtcm_src + row_offset; row_offset += row_stride;
+                const uint8_t *r1 = vtcm_src + row_offset; row_offset += row_stride;
+
+                HVX_Vector v0 = dequantize_x4x2_q4_0_group_hvx(
+                    r0 + byte_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt);
+                HVX_Vector v1 = (row1 < n_cols)
+                    ? dequantize_x4x2_q4_0_group_hvx(
+                        r1 + byte_off, upper, (const __fp16 *)(r1 + scale_off), vlut_cvt)
+                    : Q6_V_vzero();
+
+                Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v0);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+                Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v1);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+            }
+            (void) *(volatile HVX_Vector *)(tile_base);
+        } else if (weight_type == HTP_TYPE_MXFP4) {
+            int  blk_idx      = (kt * 32) / QK_MXFP4x4x2;
+            int  sub_blk      = ((kt * 32) % QK_MXFP4x4x2) / 32;
+            bool upper        = (sub_blk >= 4);
+            int  byte_off     = blk_idx * (QK_MXFP4x4x2 / 2) + (upper ? (sub_blk - 4) : sub_blk) * 32;
+            int  e8m0_blk_off = qrow_size + blk_idx * HMX_X4X2_MXFP4_EBLK_SIZE;
+
+            HVX_Vector v_off = v_scat_base;
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) {
+                int row0 = ct * HMX_FP16_TILE_N_COLS + r;
+                int row1 = row0 + 1;
+
+                const uint8_t * r0 = vtcm_src + row0 * row_stride;
+                const uint8_t * r1 = vtcm_src + row1 * row_stride;
+
+                // Batch-convert all 8 E8M0 scales once per row (stays in HVX register)
+                mxfp4_scales_t r0_e8 = mxfp4_convert_scales(r0 + e8m0_blk_off);
+
+                HVX_Vector v0 = dequantize_x4x2_mxfp4_group_hvx(r0 + byte_off, upper, sub_blk, vlut_cvt, r0_e8);
+                HVX_Vector v1;
+                if (row1 < n_cols) {
+                    mxfp4_scales_t r1_e8 = mxfp4_convert_scales(r1 + e8m0_blk_off);
+                    v1 = dequantize_x4x2_mxfp4_group_hvx(r1 + byte_off, upper, sub_blk, vlut_cvt, r1_e8);
+                } else {
+                    v1 = Q6_V_vzero();
+                }
+
+                Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v0);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+                Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v1);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+            }
+            (void) *(volatile HVX_Vector *) (tile_base);
+        } else {
+            // Q8_0
+            int blk_idx  = (kt * 32) / QK_Q8_0x4x2;
+            int sub_blk  = ((kt * 32) % QK_Q8_0x4x2) / 32;
+            int byte_off  = blk_idx * QK_Q8_0x4x2 + sub_blk * 32;
+            int scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + sub_blk * (int)sizeof(__fp16);
+
+            HVX_Vector v_off = v_scat_base;  // reset to column 0
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) {
+                int row0 = ct * HMX_FP16_TILE_N_COLS + r;
+                int row1 = row0 + 1;
+
+                const uint8_t *r0 = vtcm_src + row0 * row_stride;
+                const uint8_t *r1 = vtcm_src + row1 * row_stride;
+
+                HVX_Vector v0 = dequantize_x4x2_q8_0_group_hvx(
+                    (const int8_t *)(r0 + byte_off), (const __fp16 *)(r0 + scale_off));
+                HVX_Vector v1 = (row1 < n_cols)
+                    ? dequantize_x4x2_q8_0_group_hvx(
+                        (const int8_t *)(r1 + byte_off), (const __fp16 *)(r1 + scale_off))
+                    : Q6_V_vzero();
+
+                Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v0);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+                Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v1);
+                v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
+            }
+            (void) *(volatile HVX_Vector *)(tile_base);
+        }
+        ++t; ++kt;
+    }
+
+    // Drain HVX scatter write buffer: a vmem load on the same HW thread retires
+    // all pending scatter entries to VTCM.  Without this, the main thread's HMX
+    // reads may see stale data because atomic_fetch_sub (release) only orders
+    // regular stores, not the HVX scatter buffer.
+    if (start_tile < end_tile) {
+        (void) *(volatile HVX_Vector *)(vtcm_dst + (end_tile - 1) * HMX_FP16_TILE_N_ELMS);
+    }
+}
+
+typedef struct {
+    __fp16        *dst;
+    const uint8_t *src;
+    int            n_cols;
+    int            k_block;
+    size_t         row_stride;
+    int            weight_type;
+    int            n_tot_tiles;
+    int            n_tiles_per_task;
+    int            n_tasks;
+} x4x2_dequantize_state_t;
+
+static void dequantize_x4x2_worker_loop(unsigned int n, unsigned int i, void *data) {
+    x4x2_dequantize_state_t *state = (x4x2_dequantize_state_t *)data;
+
+    for (unsigned int task_id = i; task_id < (unsigned int)state->n_tasks; task_id += n) {
+        int start = task_id * state->n_tiles_per_task;
+        int end   = hex_smin(start + state->n_tiles_per_task, state->n_tot_tiles);
+
+        dequantize_x4x2_weight_to_fp16_tiles_task(
+            state->dst, state->src, state->n_cols, state->k_block,
+            state->row_stride, state->weight_type, start, end);
+    }
+}
+
+static void dequantize_x4x2_weight_chunk_to_fp16_tiles(
+        struct htp_context *ctx, __fp16 *vtcm_dst,
+        const void *vtcm_src, int n_cols, int k_block,
+        size_t row_stride, int weight_type) {
+
+    assert(n_cols  % HMX_FP16_TILE_N_COLS == 0);
+    assert(k_block % HMX_FP16_TILE_N_COLS == 0);
+
+    size_t n_col_tiles = n_cols / HMX_FP16_TILE_N_COLS;
+    size_t n_k_tiles   = k_block / HMX_FP16_TILE_N_COLS;
+    size_t n_tot_tiles = n_col_tiles * n_k_tiles;
+
+    size_t n_tiles_per_task = hmx_ceil_div(n_tot_tiles, ctx->n_threads);
+
+    x4x2_dequantize_state_t state;
+    state.n_tasks          = (n_tot_tiles + n_tiles_per_task - 1) / n_tiles_per_task;
+    state.n_tot_tiles      = n_tot_tiles;
+    state.n_tiles_per_task = n_tiles_per_task;
+    state.dst         = vtcm_dst;
+    state.src         = (const uint8_t *)vtcm_src;
+    state.n_cols      = n_cols;
+    state.k_block     = k_block;
+    state.row_stride  = row_stride;
+    state.weight_type = weight_type;
+
+    worker_pool_run_func(ctx->worker_pool, dequantize_x4x2_worker_loop, &state, ctx->n_threads);
+}
+
+// --- End x4x2 dequantizers ---
+
+// requires external HMX lock
+static void core_dot_chunk_fp16(__fp16 *restrict output, const __fp16 *restrict activation, const __fp16 *restrict weight, const __fp16 *restrict scales,
+                                int n_row_tiles, int n_col_tiles, int n_dot_tiles) {
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(n_col_tiles > 0);
+    __builtin_assume(n_dot_tiles > 0);
+
+    Q6_bias_mxmem2_A((void *)scales);
+    for (int r = 0; r < n_row_tiles; ++r) {
+        for (size_t c = 0; c < n_col_tiles; ++c) {
+            Q6_mxclracc_hf();
+
+            const __fp16 *row_tiles = activation + r * n_dot_tiles * HMX_FP16_TILE_N_ELMS;
+            const __fp16 *col_tiles = weight + c * n_dot_tiles * HMX_FP16_TILE_N_ELMS;
+
+            for (int k = 0; k < n_dot_tiles; ++k) {
+                Q6_activation_hf_mxmem_RR((unsigned int)row_tiles, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int)col_tiles, 2047);
+                row_tiles += HMX_FP16_TILE_N_ELMS;
+                col_tiles += HMX_FP16_TILE_N_ELMS;
+            }
+
+            __fp16 *out_tile = output + (r * n_col_tiles + c) * HMX_FP16_TILE_N_ELMS;
+            Q6_mxmem_AR_after_hf(out_tile, 0);
+        }
+    }
+}
+
+// --- Async HMX matmul job (for pipeline overlap) ---
+
+typedef struct {
+    __fp16 *       output;
+    const __fp16 * activation;
+    const __fp16 * weight;
+    const __fp16 * scales;
+    uint32_t       n_row_tiles;
+    uint32_t       n_col_tiles;
+    uint32_t       n_dot_tiles;
+} hmx_matmul_job_t;
+
+static void hmx_matmul_worker_fn(void * data) {
+    hmx_matmul_job_t * job = (hmx_matmul_job_t *) data;
+    FARF(HIGH, "hmx-mm-job: n_row_tiles %u n_col_tiles %u n_dot_tiles %u", job->n_row_tiles, job->n_col_tiles, job->n_dot_tiles);
+    core_dot_chunk_fp16(job->output, job->activation, job->weight, job->scales, job->n_row_tiles, job->n_col_tiles, job->n_dot_tiles);
+}
+
+static inline void hmx_matmul_job_init(hmx_matmul_job_t * job,
+                                       __fp16 *           output,
+                                       const __fp16 *     activation,
+                                       const __fp16 *     weight,
+                                       const __fp16 *     scales,
+                                       int                n_row_tiles,
+                                       int                n_col_tiles,
+                                       int                n_dot_tiles) {
+    job->output      = output;
+    job->activation  = activation;
+    job->weight      = weight;
+    job->scales      = scales;
+    job->n_row_tiles = n_row_tiles;
+    job->n_col_tiles = n_col_tiles;
+    job->n_dot_tiles = n_dot_tiles;
+}
+
+// --- End async HMX matmul job ---
+
+static void transfer_output_chunk_fp16_to_fp32(float *restrict dst, const __fp16 *restrict vtcm_src, int n_rows, int n_cols, int n) {
+    assert(n_cols % HMX_FP16_TILE_N_COLS == 0);
+    const size_t tile_row_stride = (n_cols / HMX_FP16_TILE_N_COLS) * HMX_FP16_TILE_N_ELMS;
+
+    const HVX_Vector one = hvx_vec_splat_f16(1.0);
+
+    for (size_t r = 0; r < n_rows; r += 2) {
+        const size_t r0 = r / HMX_FP16_TILE_N_ROWS;
+        const size_t r1 = (r % HMX_FP16_TILE_N_ROWS) / 2;  // index of the row pair within the tile
+        const __fp16 *row_base = vtcm_src + r0 * tile_row_stride;
+        float *output_row_base = dst + r * n;  // global memory row base for row r (and r+1)
+
+        #pragma unroll(4)
+        for (size_t c = 0; c < n_cols; c += HMX_FP16_TILE_N_COLS) {
+            const size_t c0 = c / HMX_FP16_TILE_N_COLS;
+            const __fp16 *tile = row_base + c0 * HMX_FP16_TILE_N_ELMS;
+            HVX_Vector v = ((const HVX_Vector *) tile)[r1];
+            HVX_VectorPair vp = Q6_Wqf32_vmpy_VhfVhf(v, one);
+
+            volatile HVX_Vector *pv_out0 = (volatile HVX_Vector *) (output_row_base + c + 0);
+            volatile HVX_Vector *pv_out1 = (volatile HVX_Vector *) (output_row_base + c + n);  // next row in global memory
+
+            *pv_out0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vp));
+            if (r + 1 < n_rows) {
+                *pv_out1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(vp));
+            }
+        }
+    }
+}
+
+typedef struct {
+    const __fp16  *vtcm_src;
+    float         *dst;
+    int            n_tasks;
+    int            n_tot_chunks;
+    int            n_chunks_per_task;
+    int            n_cols;
+    int            n;  // DDR row stride (total output columns)
+} output_transfer_task_state_t;
+
+static void transfer_output_chunk_worker_fn(unsigned int n, unsigned int i, void *data) {
+    output_transfer_task_state_t *st = (output_transfer_task_state_t *) data;
+
+    for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) {
+        int    chunk_idx  = task_id * st->n_chunks_per_task;
+        size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task);
+
+        float        *dst      = st->dst      + chunk_idx * st->n;
+        const __fp16 *vtcm_src = st->vtcm_src + chunk_idx * st->n_cols;
+        transfer_output_chunk_fp16_to_fp32(dst, vtcm_src, chunk_size, st->n_cols, st->n);
+    }
+}
+
+static void transfer_output_chunk_threaded(struct htp_context *ctx, float *dst, const __fp16 *vtcm_src,
+                                              int n_rows, int n_cols, int n) {
+    assert(n_cols % HMX_FP16_TILE_N_COLS == 0);
+
+    size_t n_tot_chunks      = n_rows;
+    size_t n_chunks_per_task = HMX_FP16_TILE_N_ROWS;  // must be multiple of HMX_FP16_TILE_N_ROWS (32)
+
+    output_transfer_task_state_t state;
+    state.n_tasks           = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task;
+    state.n_tot_chunks      = n_tot_chunks;
+    state.n_chunks_per_task = n_chunks_per_task;
+    state.dst               = dst;
+    state.vtcm_src          = vtcm_src;
+    state.n_cols            = n_cols;
+    state.n                 = n;
+
+    worker_pool_run_func(ctx->worker_pool, transfer_output_chunk_worker_fn, &state, ctx->n_threads);
+}
+
+static inline int hmx_matmul_batch_r2(const hmx_matmul_w16a32_batched_params_t *params) {
+    return params->ne02 > 0 ? params->ne12 / params->ne02 : 1;
+}
+
+static inline int hmx_matmul_batch_r3(const hmx_matmul_w16a32_batched_params_t *params) {
+    return params->ne03 > 0 ? params->ne13 / params->ne03 : 1;
+}
+
+static inline const __fp16 *hmx_matmul_weight_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
+                                                        int dst_b2, int dst_b3) {
+    const int r2 = hmx_matmul_batch_r2(params);
+    const int r3 = hmx_matmul_batch_r3(params);
+    return (const __fp16 *) ((const uint8_t *) params->permuted_weight +
+                             (size_t) (dst_b2 / r2) * params->src0_nb2 +
+                             (size_t) (dst_b3 / r3) * params->src0_nb3);
+}
+
+static inline const float *hmx_matmul_activation_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
+                                                           int dst_b2, int dst_b3) {
+    return (const float *) ((const uint8_t *) params->activation +
+                            (size_t) dst_b2 * params->src1_nb2 +
+                            (size_t) dst_b3 * params->src1_nb3);
+}
+
+static inline float *hmx_matmul_dst_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
+                                              int dst_b2, int dst_b3) {
+    return (float *) ((uint8_t *) params->dst +
+                      (size_t) dst_b2 * params->dst_nb2 +
+                      (size_t) dst_b3 * params->dst_nb3);
+}
+
+static int hmx_mat_mul_permuted_w16a32_batched_legacy(struct htp_context *ctx,
+                                                      const hmx_matmul_w16a32_batched_params_t *params) {
+    int ret = 0;
+    for (int b3 = 0; b3 < params->ne13 && ret == 0; ++b3) {
+        for (int b2 = 0; b2 < params->ne12 && ret == 0; ++b2) {
+            ret = hmx_mat_mul_permuted_w16a32(ctx,
+                                              hmx_matmul_dst_batch_ptr(params, b2, b3),
+                                              hmx_matmul_activation_batch_ptr(params, b2, b3),
+                                              hmx_matmul_weight_batch_ptr(params, b2, b3),
+                                              params->m, params->k, params->n,
+                                              params->act_stride, params->weight_stride);
+        }
+    }
+    return ret;
+}
+
+int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, const hmx_matmul_w16a32_batched_params_t *params) {
+    if (!ctx || !params || !params->dst || !params->activation || !params->permuted_weight) { return -1; }
+    if (!params->m || !params->k || !params->n) { return -1; }
+    if (params->act_stride < params->k || params->weight_stride < params->k || params->dst_stride < params->n) { return -1; }
+    if (params->ne02 <= 0 || params->ne03 <= 0 || params->ne12 <= 0 || params->ne13 <= 0) { return -1; }
+    if (params->ne12 % params->ne02 != 0 || params->ne13 % params->ne03 != 0) { return -1; }
+    if (params->k % 32 != 0 || params->n % 32 != 0) { return -1; }
+
+    if (!hex_is_aligned(params->dst, VLEN) ||
+        !hex_is_aligned(params->activation, VLEN) ||
+        !hex_is_aligned(params->permuted_weight, VLEN)) {
+        return -1;
+    }
+
+    const int group_size = hmx_matmul_batch_r2(params);
+
+    if (group_size <= 1) {
+        FARF(MEDIUM, "%s: no dim2 GQA reuse (group=%d), using legacy batched loop", __func__, group_size);
+        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
+    }
+
+    // Grouped path: reuse interleaved weight across all q_heads sharing a
+    // kv_head.  Each q_head gets its own activation buffer in VTCM (so
+    // activation is loaded once per m_chunk and reused across all n_chunks),
+    // and each q_head is computed individually to avoid tile-major packing
+    // issues.  m_chunk_n_rows is always a multiple of 32 (from
+    // hmx_compute_chunks), so per-head tile arrays don't overlap.
+    const size_t vtcm_budget  = ctx->vtcm_size;
+    const size_t vec_dot_size = params->k * sizeof(__fp16);
+
+    // When the activation has a large stride (e.g. permuted Q tensor with
+    // act_stride >> k), HVX vector loads from strided DDR thrash L2 cache.
+    // Allocate an F32 scratch buffer in VTCM and use 2D DMA to gather
+    // strided rows into a contiguous block before the F32->F16 conversion.
+    const bool use_dma_activation = (params->act_stride > params->k);
+    const size_t f32_scratch_per_m = use_dma_activation ? (size_t) params->k * sizeof(float) : 0;
+
+    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
+    // FP16 weight: interleave and activation load have similar per-element cost.
+    if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256,
+                           /*per_n=*/3 * vec_dot_size,
+                           /*per_m=*/group_size * vec_dot_size + f32_scratch_per_m,
+                           /*per_mn=*/sizeof(__fp16), params->m, params->n,
+                           /*m_block_cost=*/(size_t) params->n,
+                           /*n_block_cost=*/(size_t) params->m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: grouped path does not fit VTCM, falling back to legacy batched loop", __func__);
+        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
+    }
+
+    const size_t act_head_stride      = m_chunk_n_rows * (size_t) params->k;  // fp16 elements between heads
+    const size_t weight_area_size     = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t activation_area_size = hex_align_up(group_size * m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t output_area_size     = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t scratch_area_size    = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t f32_scratch_size     = use_dma_activation
+        ? hex_align_up(m_chunk_n_rows * (size_t) params->k * sizeof(float), HMX_FP16_TILE_SIZE) : 0;
+
+    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
+    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
+    float   *vtcm_f32_act    = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL;
+
+    if ((size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base) > vtcm_budget) {
+        FARF(HIGH, "%s: grouped layout overflowed VTCM, falling back to legacy batched loop", __func__);
+        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
+    }
+
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
+
+    FARF(MEDIUM, "%s: grouped path m=%d k=%d n=%d group=%d streams=%d mc=%zu nc=%zu vtcm=%zu/%zu",
+            __func__, params->m, params->k, params->n, group_size, params->ne13,
+            m_chunk_n_rows, n_chunk_n_cols,
+            (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget);
+
+    TIMER_DEFINE(activation_load);
+    TIMER_DEFINE(weight_load);
+    TIMER_DEFINE(hmx_core);
+    TIMER_DEFINE(output_store);
+    TIMER_DEFINE(total);
+
+    TIMER_START(total);
+
+    const size_t fp16_row_bytes   = (size_t) params->k * sizeof(__fp16);
+    const size_t weight_row_bytes = (size_t) params->weight_stride * sizeof(__fp16);
+
+    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+
+    for (int b3 = 0; b3 < params->ne13; ++b3) {
+        for (int b2_base = 0; b2_base < params->ne12; b2_base += group_size) {
+            const __fp16 *weight_group = hmx_matmul_weight_batch_ptr(params, b2_base, b3);
+
+            for (size_t mr = 0; mr < (size_t) params->m; mr += m_chunk_n_rows) {
+                const size_t n_rows = hex_smin((size_t) params->m - mr, m_chunk_n_rows);
+                const size_t n_row_tiles = hmx_ceil_div((int) n_rows, HMX_FP16_TILE_N_ROWS);
+
+                // Pre-load activations for all heads in the group (once per m_chunk).
+                // When the source is strided (permuted Q), use 2D DMA to gather
+                // contiguous rows into a VTCM scratch buffer first, then HVX
+                // converts from the contiguous VTCM buffer.  This avoids L2 cache
+                // thrashing from HVX loads at large strides.
+                TIMER_START(activation_load);
+                for (int g = 0; g < group_size; ++g) {
+                    const float *activation_chunk = hmx_matmul_activation_batch_ptr(params, b2_base + g, b3) + mr * params->act_stride;
+                    __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride;
+                    if (use_dma_activation) {
+                        const size_t row_bytes    = (size_t) params->k * sizeof(float);
+                        const size_t stride_bytes = (size_t) params->act_stride * sizeof(float);
+                        dma_queue_push(ctx->dma[0],
+                                          dma_make_ptr(vtcm_f32_act, activation_chunk),
+                                          row_bytes, stride_bytes, row_bytes, n_rows);
+                        dma_queue_pop(ctx->dma[0]);
+                        transfer_activation_chunk_threaded(ctx, vtcm_act_g,
+                                                              vtcm_f32_act, (int) n_rows,
+                                                              params->k, params->k);
+                    } else {
+                        transfer_activation_chunk_threaded(ctx, vtcm_act_g,
+                                                              activation_chunk, (int) n_rows,
+                                                              params->k, params->act_stride);
+                    }
+                }
+                TIMER_STOP(activation_load);
+
+                void *buf_curr = vtcm_scratch0;
+                void *buf_next = vtcm_scratch1;
+
+                {
+                    const size_t n_cols_first = hex_smin((size_t) params->n, n_chunk_n_cols);
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, weight_group),
+                                      fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first);
+                }
+
+                for (size_t nc = 0; nc < (size_t) params->n; nc += n_chunk_n_cols) {
+                    const size_t n_cols = hex_smin((size_t) params->n - nc, n_chunk_n_cols);
+                    const size_t n_col_tiles = hmx_ceil_div((int) n_cols, HMX_FP16_TILE_N_COLS);
+
+                    TIMER_START(weight_load);
+                    {
+                        dma_queue_pop(ctx->dma[0]);
+
+                        const size_t nc_next = nc + n_chunk_n_cols;
+                        if (nc_next < (size_t) params->n) {
+                            const size_t n_cols_next = hex_smin((size_t) params->n - nc_next, n_chunk_n_cols);
+                            const __fp16 *next_weight_chunk = weight_group + nc_next * params->weight_stride;
+
+                            dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk),
+                                              fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next);
+                        }
+
+                        interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, params->k);
+                        swap_ptr(&buf_curr, &buf_next);
+                    }
+                    TIMER_STOP(weight_load);
+
+                    // Reuse the interleaved weight for every q_head in this GQA group
+                    for (int g = 0; g < group_size; ++g) {
+                        TIMER_START(hmx_core);
+                        {
+                            const __fp16 * vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride;
+                            core_dot_chunk_fp16(vtcm_output, vtcm_act_g, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles,
+                                                params->k / 32);
+                        }
+                        TIMER_STOP(hmx_core);
+
+                        TIMER_START(output_store);
+                        {
+                            float *output = hmx_matmul_dst_batch_ptr(params, b2_base + g, b3) + mr * params->dst_stride + nc;
+                            transfer_output_chunk_threaded(ctx, output, vtcm_output, (int) n_rows, (int) n_cols, params->dst_stride);
+                        }
+                        TIMER_STOP(output_store);
+                    }
+                }
+            }
+        }
+    }
+
+    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+
+    TIMER_STOP(total);
+
+#if defined(ENABLE_PROFILE_TIMERS)
+    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d group=%d", __func__, TIMER_US(total),
+         params->m, params->k, params->n, group_size);
+    FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
+         TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
+#endif
+
+  return 0;
+}
+
+int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation,
+                                const __fp16 *restrict permuted_weight, int m, int k, int n,
+                                int act_stride, int weight_stride) {
+    if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; }
+    if (act_stride < k || weight_stride < k) { return -1; }
+    if (k % 32 != 0 || n % 32 != 0) { return -1; }
+
+    if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) {
+      return -1;
+    }
+
+    // --- Dynamic VTCM layout ---
+    const size_t vtcm_budget  = ctx->vtcm_size;
+    const size_t vec_dot_size = k * sizeof(__fp16);
+
+    // DMA-based activation gather for strided tensors (see batched path comment).
+    const bool use_dma_activation = (act_stride > k);
+    const size_t f32_scratch_per_m = use_dma_activation ? (size_t) k * sizeof(float) : 0;
+
+    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
+    // FP16 weight: interleave and activation load have similar per-element cost.
+    if (hmx_compute_chunks(vtcm_budget,
+                           /*overhead=*/256,
+                           /*per_n=*/3 * vec_dot_size,                  // W + S0 + S1
+                           /*per_m=*/vec_dot_size + f32_scratch_per_m,  // A + optional F32 scratch
+                           /*per_mn=*/sizeof(__fp16),                   // O
+                           m, n,
+                           /*m_block_cost=*/(size_t) n,
+                           /*n_block_cost=*/(size_t) m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget);
+        return -1;
+    }
+
+    const size_t weight_area_size     = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t output_area_size     = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t scratch_area_size    = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t f32_scratch_size     = use_dma_activation
+        ? hex_align_up(m_chunk_n_rows * (size_t) k * sizeof(float), HMX_FP16_TILE_SIZE) : 0;
+
+    // VTCM layout: weight | activation | output | scratch0 | scratch1 | scales | [f32_scratch]
+    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
+    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
+    float   *vtcm_f32_act    = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL;
+    if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) {
+        FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__,
+             (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
+        return -1;
+    }
+
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
+
+    FARF(MEDIUM, "%s: m=%d k=%d n=%d mc=%zu nc=%zu vtcm=%zu/%zu",
+         __func__, m, k, n, m_chunk_n_rows, n_chunk_n_cols,
+         (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
+
+    TIMER_DEFINE(activation_load);
+    TIMER_DEFINE(weight_load);
+    TIMER_DEFINE(hmx_core);
+    TIMER_DEFINE(output_store);
+
+    TIMER_DEFINE(total);
+    TIMER_START(total);
+
+    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+
+    for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
+        // transfer activation matrix chunk into VTCM
+        const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
+        const size_t n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS);
+
+        TIMER_START(activation_load);
+        {
+            const float *activation_chunk = activation + mr * act_stride;
+            if (use_dma_activation) {
+                const size_t row_bytes    = (size_t) k * sizeof(float);
+                const size_t stride_bytes = (size_t) act_stride * sizeof(float);
+                dma_queue_push(ctx->dma[0],
+                                  dma_make_ptr(vtcm_f32_act, activation_chunk),
+                                  row_bytes, stride_bytes, row_bytes, n_rows);
+                dma_queue_pop(ctx->dma[0]);
+                transfer_activation_chunk_threaded(ctx, vtcm_activation,
+                                                      vtcm_f32_act, n_rows, k, k);
+            } else {
+                transfer_activation_chunk_threaded(ctx, vtcm_activation,
+                                                    activation_chunk, n_rows, k, act_stride);
+            }
+        }
+        TIMER_STOP(activation_load);
+
+        const size_t fp16_row_bytes    = (size_t) k * sizeof(__fp16);
+        const size_t weight_row_bytes  = (size_t) weight_stride * sizeof(__fp16);
+
+        void *buf_curr = vtcm_scratch0;
+        void *buf_next = vtcm_scratch1;
+
+        // issue async DMA for the first weight chunk
+        // NOTE: use 2D DMA (n_cols rows x fp16_row_bytes) to avoid 16-bit roiwidth overflow.
+        // The source rows can be strided (e.g. KV-cache K after ggml_permute).
+        {
+            const size_t n_cols_first = hex_smin(n, n_chunk_n_cols);
+
+            dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight),
+                              fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first);
+        }
+
+        for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) {
+            const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols);
+            const size_t n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS);
+
+            TIMER_START(weight_load);
+            {
+                dma_queue_pop(ctx->dma[0]);  // wait until current weight chunk is ready
+
+                // issue async DMA for the next weight chunk (double buffering)
+                const size_t nc_next = nc + n_chunk_n_cols;
+                if (nc_next < n) {
+                    const size_t n_cols_next       = hex_smin(n - nc_next, n_chunk_n_cols);
+                    const __fp16 *next_weight_chunk = permuted_weight + nc_next * weight_stride;
+
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk),
+                                      fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next);
+                }
+
+                // interleave row-major fp16 from scratch into tile-major in vtcm_weight
+                interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *)buf_curr, n_cols, k);
+
+                swap_ptr(&buf_curr, &buf_next);
+            }
+            TIMER_STOP(weight_load);
+
+            TIMER_START(hmx_core);
+            {
+                core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32);
+            }
+            TIMER_STOP(hmx_core);
+
+            TIMER_START(output_store);
+            {
+                float *output = dst + (mr * n + nc);
+                transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n);
+            }
+            TIMER_STOP(output_store);
+        }
+
+    }
+
+    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+
+    TIMER_STOP(total);
+
+#if defined(ENABLE_PROFILE_TIMERS)
+    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d", __func__, TIMER_US(total), m, k, n);
+    FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
+         TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
+    {
+        size_t weight_size = (size_t)k * n * sizeof(__fp16);
+        float  bandwidth   = 1e-3f * weight_size / (float)TIMER_US(weight_load);
+        FARF(HIGH, "  weight load bandwidth: %.2f GB/s", bandwidth);
+    }
+#endif
+
+    return 0;
+}
+
+int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, int m,
+                                       int k, int n, int w_type);
+
+#define FALLBACK_TO_STANDARD 1
+
+int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation,
+                                     const uint8_t *restrict permuted_weight, int m, int k, int n,
+                                     int weight_type) {
+    if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; }
+    if (k % 32 != 0 || n % 32 != 0) { return -1; }
+
+    if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) {
+        return -1;
+    }
+
+    // for large m, k (e.g. prefill FFN Down), use out-stationary version
+    if (m >= 128 && k > n && n > 1024) {
+        int rc = mat_mul_qk_0_d16a32_out_stationary(ctx, dst, activation, permuted_weight, m, k, n, weight_type);
+        if (rc != FALLBACK_TO_STANDARD) {
+            return rc;  // 0 success, -1 error
+        }
+        FARF(MEDIUM, "hmx_matmul_qk: out-stationary fallback to standard m=%d k=%d n=%d", m, k, n);
+        // fall through to standard path
+    }
+
+    size_t row_stride = get_x4x2_row_stride(weight_type, k);
+    if (row_stride == 0) {
+        return -1;
+    }
+
+    FARF(MEDIUM, "hmx_matmul_qk: STANDARD path m=%d k=%d n=%d type=%d", m, k, n, weight_type);
+
+    // --- Dynamic VTCM layout ---
+    const size_t vtcm_budget   = ctx->vtcm_size;
+    const size_t vec_dot_size  = k * sizeof(__fp16);
+    const bool   use_pipeline  = (m >= 128) && (k <= n);
+
+    // Select cost parameters based on execution path
+    size_t per_n_cost, per_mn_cost;
+    if (use_pipeline) {
+        per_n_cost  = row_stride + 2 * vec_dot_size;  // Q + S0 + S1 (dequant bufs)
+        per_mn_cost = 2 * sizeof(__fp16);              // O x 2 (output double buffer)
+    } else {
+        per_n_cost  = vec_dot_size + 2 * row_stride;   // W + S0 + S1 (x4x2 DMA bufs)
+        per_mn_cost = sizeof(__fp16);                   // O x 1
+    }
+
+    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
+    // Quantized weight: dequant ~1.5x more expensive per element than activation load.
+    if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, per_n_cost, /*per_m=*/vec_dot_size, per_mn_cost, m, n,
+                           /*m_block_cost=*/(size_t) n * 3,
+                           /*n_block_cost=*/(size_t) m * 2, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d pipe=%d budget=%zu)",
+             __func__, m, k, n, use_pipeline, vtcm_budget);
+        return -1;
+    }
+
+    // Compute precise buffer sizes per execution path
+    const size_t weight_area_size = hex_align_up(
+        n_chunk_n_cols * (use_pipeline ? row_stride : vec_dot_size), HMX_FP16_TILE_SIZE);
+    const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t output_area_size = hex_align_up(
+        m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+
+    size_t scratch0_size, scratch1_size, scratch2_size;
+    if (use_pipeline) {
+        scratch0_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);  // dequant buf 0
+        scratch1_size = scratch0_size;                                                    // dequant buf 1
+        scratch2_size = output_area_size;                                                 // output buf 1
+    } else {
+        scratch0_size = hex_align_up(n_chunk_n_cols * row_stride, HMX_FP16_TILE_SIZE);    // x4x2 DMA buf 0
+        scratch1_size = scratch0_size;                                                    // x4x2 DMA buf 1
+        scratch2_size = 0;                                                                // unused
+    }
+
+    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
+    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch0_size);
+    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch1_size);
+    void    *vtcm_scratch2   = scratch2_size ? vtcm_seq_alloc(&vtcm_ptr, scratch2_size) : NULL;
+    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
+    if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) {
+        FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__,
+             (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
+        return -1;
+    }
+
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
+
+    FARF(MEDIUM, "%s: m=%d k=%d n=%d wtype=%d pipe=%d mc=%zu nc=%zu vtcm=%zu/%zu",
+         __func__, m, k, n, weight_type, use_pipeline,
+         m_chunk_n_rows, n_chunk_n_cols,
+         (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
+
+    TIMER_DEFINE(activation_load);
+    TIMER_DEFINE(weight_load);
+    TIMER_DEFINE(hmx_core);
+    TIMER_DEFINE(output_store);
+
+    TIMER_DEFINE(total);
+    TIMER_START(total);
+
+    FARF(MEDIUM, "hmx_matmul_qk: %s mc=%zu nc=%zu vtcm=%zu/%zu",
+         use_pipeline ? "PIPELINE" : "SEQUENTIAL", m_chunk_n_rows, n_chunk_n_cols,
+         (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
+
+    if (!use_pipeline) {
+        HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+        for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
+            // transfer activation matrix chunk into VTCM
+            const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
+            const size_t n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS);
+
+            TIMER_START(activation_load);
+            {
+                const float *activation_chunk = activation + mr * k;
+                transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k);
+            }
+            TIMER_STOP(activation_load);
+
+            void *buf_curr = vtcm_scratch0;
+            void *buf_next = vtcm_scratch1;
+
+            {
+                const size_t n_cols_first = hex_smin(n, n_chunk_n_cols);
+                dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight), row_stride, row_stride, row_stride, n_cols_first);
+            }
+
+            for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) {
+                const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols);
+                const size_t n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS);
+
+                TIMER_START(weight_load);
+                {
+                    dma_queue_pop(ctx->dma[0]);  // wait until current weight chunk become ready
+
+                    const size_t nc_next = nc + n_chunk_n_cols;
+                    if (nc_next < n) {
+                        const size_t n_cols_next = hex_smin(n - nc_next, n_chunk_n_cols);
+
+                        const uint8_t *next_weight_chunk = permuted_weight + nc_next * row_stride;
+
+                        dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), row_stride, row_stride, row_stride, n_cols_next);
+                    }
+
+                    // Dequant + vscatter writes directly to [K, N] transposed tiles.
+                    // HMX computes C = A x B, where A=[M,K] activation, B=[K,N] weight.
+                    dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, buf_curr, n_cols, k, row_stride, weight_type);
+
+                    swap_ptr(&buf_curr, &buf_next);
+                }
+                TIMER_STOP(weight_load);
+
+                TIMER_START(hmx_core);
+                {
+                    core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32);
+                }
+                TIMER_STOP(hmx_core);
+
+                TIMER_START(output_store);
+                {
+                    float *output = dst + (mr * n + nc);
+                    transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n);
+                }
+                TIMER_STOP(output_store);
+            }
+        }
+        HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+    } else {
+        // 4-stage pipeline: DMA load (A), dequantize (B), HMX matmul (C), store (D)
+        // HMX compute (C) runs on dedicated worker thread, overlapping with HVX stages (B, D).
+
+        // A --> B: vtcm_qweight, 1 buffer
+        // B --> C: vtcm_weight0/vtcm_weight1, 2 buffers
+        // C --> D: vtcm_output0/vtcm_output1, 2 buffers
+
+        // Async timeline (C overlaps B+D):
+        //   main+HVX:   [A0][Act][B0][A1][sub C0][B1‖C0][A2][wait,sub C1][D0+B2‖C1][wait,sub C2][D1‖C2][wait][D2]
+        //   HMX queue:                   [████ C0 ████████][████ C1 ████████████][████ C2 ████████]
+
+        int n_chunk_cnt = hmx_ceil_div(n, n_chunk_n_cols);
+        hmx_matmul_job_t job_slots[2];  // persistent double-buffered job descriptors
+
+        for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
+            const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
+
+            void *vtcm_qweight        = vtcm_weight;
+            void *vtcm_weight_bufs[2] = { vtcm_scratch0, vtcm_scratch1 };
+            void *vtcm_output_bufs[2] = { vtcm_output, vtcm_scratch2 };
+
+            // prologue: A0
+            const size_t n_cols_A0 = hex_smin(n - 0 * n_chunk_n_cols, n_chunk_n_cols);
+            {
+                // Use 2D DMA (n_cols rows x row_stride) to avoid 16-bit roiwidth overflow.
+                const uint8_t *qweight_chunk_A0 = permuted_weight;
+                dma_queue_push(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_A0), row_stride, row_stride, row_stride, n_cols_A0);
+            }
+
+            {
+                const float *activation_chunk = activation + mr * k;
+                transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k);
+            }
+
+            // prologue: B0, A1, submit C0 (async), B1 (overlaps C0)
+            {
+                // B0: wait for DMA, dequant weight chunk 0
+                dma_queue_pop(ctx->dma[0]);
+                dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[0], vtcm_qweight, n_cols_A0, k, row_stride, weight_type);
+
+                // A1: issue DMA for weight chunk 1
+                const size_t n_cols_A1 = hex_smin(n - 1 * n_chunk_n_cols, n_chunk_n_cols);
+                if (1 < n_chunk_cnt) {
+                    const uint8_t *qweight_chunk_A1 = permuted_weight + n_chunk_n_cols * row_stride;
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_A1), row_stride, row_stride, row_stride, n_cols_A1);
+                }
+
+                // submit C0 (non-blocking — HMX worker executes in parallel)
+                hmx_matmul_job_init(&job_slots[0], (__fp16 *) vtcm_output_bufs[0], (__fp16 *) vtcm_activation,
+                                    (__fp16 *) vtcm_weight_bufs[0], vtcm_scales,
+                                    hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS),
+                                    hmx_ceil_div(n_cols_A0, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS);
+                hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_matmul_worker_fn, &job_slots[0]));
+
+                // B1: DMA pop + dequant (runs in parallel with C0 on HMX worker)
+                if (1 < n_chunk_cnt) {
+                    dma_queue_pop(ctx->dma[0]);
+                    dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[1], vtcm_qweight, n_cols_A1, k, row_stride, weight_type);
+                }
+            }
+
+            // main loop: wait C_i → submit C_{i+1} → D_i + B_{i+2} (parallel with C_{i+1})
+            for (int i = 0; i < n_chunk_cnt; ++i) {
+                const size_t nc    = i * n_chunk_n_cols;
+                const size_t nc_p1 = nc + 1 * n_chunk_n_cols;
+                const size_t nc_p2 = nc + 2 * n_chunk_n_cols;
+
+                const size_t n_cols    = hex_smin(n - nc, n_chunk_n_cols);
+                const size_t n_cols_p1 = hex_smin(n - nc_p1, n_chunk_n_cols);
+                const size_t n_cols_p2 = hex_smin(n - nc_p2, n_chunk_n_cols);
+
+                // issue A_{i+2}: DMA push (non-blocking)
+                if (i + 2 < n_chunk_cnt) {
+                    const uint8_t *qweight_chunk_p2 = permuted_weight + nc_p2 * row_stride;
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_p2), row_stride, row_stride, row_stride, n_cols_p2);
+                }
+
+                // wait C_i: block until prologue/previous C completes
+                hmx_queue_pop(ctx->hmx_queue);
+
+                // submit C_{i+1} (non-blocking, overlaps with D_i + B_{i+2} below)
+                // job_slots[(i+1)%2] is safe: C_i just completed, freeing slot i%2's
+                // counterpart — and (i+1)%2 was last used by C_{i-1} which completed
+                // before C_i was submitted.
+                if (i + 1 < n_chunk_cnt) {
+                    hmx_matmul_job_init(&job_slots[(i + 1) % 2], (__fp16 *) vtcm_output_bufs[(i + 1) % 2],
+                                        (__fp16 *) vtcm_activation, (__fp16 *) vtcm_weight_bufs[(i + 1) % 2],
+                                        vtcm_scales, hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS),
+                                        hmx_ceil_div(n_cols_p1, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS);
+                    hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_matmul_worker_fn, &job_slots[(i + 1) % 2]));
+                }
+
+                // D_i: store output (multi-thread HVX, parallel with C_{i+1})
+                float *output_chunk = dst + (mr * n + nc);
+                transfer_output_chunk_threaded(ctx, output_chunk, vtcm_output_bufs[i % 2], n_rows, n_cols, n);
+
+                // B_{i+2}: DMA pop + dequant (multi-thread HVX, parallel with C_{i+1})
+                if (i + 2 < n_chunk_cnt) {
+                    dma_queue_pop(ctx->dma[0]);
+                    dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[(i + 2) % 2], vtcm_qweight, n_cols_p2, k, row_stride, weight_type);
+                }
+            }
+        }
+
+        hmx_queue_suspend(ctx->hmx_queue);
+    }
+
+    TIMER_STOP(total);
+
+#if defined(ENABLE_PROFILE_TIMERS)
+    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d pipeline=%d", __func__, TIMER_US(total), m, k, n, use_pipeline);
+    if (!use_pipeline) {
+        FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
+             TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
+        size_t weight_size = (size_t)n * row_stride;
+        float  bandwidth   = 1e-3f * weight_size / (float)TIMER_US(weight_load);
+        FARF(HIGH, "  weight load bandwidth: %.2f GB/s", bandwidth);
+    }
+#endif
+
+    return 0;
+}
+
+// C += AB
+void core_mma_chunk_fp16(__fp16 *restrict c, const __fp16 *restrict a, const __fp16 *restrict b, const __fp16 *restrict col_scales, const __fp16 *restrict eye_tile,
+                         int n_row_tiles, int n_col_tiles, int n_dot_tiles, bool zero_init) {
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(n_col_tiles > 0);
+    __builtin_assume(n_dot_tiles > 0);
+
+    Q6_bias_mxmem2_A((void *)col_scales);
+
+    const size_t dot_tile_stride = n_dot_tiles * HMX_FP16_TILE_N_ELMS;
+    for (size_t i = 0; i < n_row_tiles; ++i) {
+        const __fp16 *row_base = a + i * dot_tile_stride;
+        __fp16 *res_base = c + i * n_col_tiles * HMX_FP16_TILE_N_ELMS;
+        for (size_t j = 0; j < n_col_tiles; ++j) {
+            Q6_mxclracc_hf();
+
+            const __fp16 *col_tiles = b + j * dot_tile_stride;
+            const __fp16 *row_tiles = row_base;
+            __fp16 *accum_tile = res_base + j * HMX_FP16_TILE_N_ELMS;
+            if (!zero_init) {
+                Q6_activation_hf_mxmem_RR((unsigned int)accum_tile, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int)eye_tile, 2047);
+            }
+
+            for (int k = 0; k < n_dot_tiles; ++k) {
+                Q6_activation_hf_mxmem_RR((unsigned int)row_tiles, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int)col_tiles, 2047);
+                row_tiles += HMX_FP16_TILE_N_ELMS;
+                col_tiles += HMX_FP16_TILE_N_ELMS;
+            }
+            Q6_mxmem_AR_after_hf(accum_tile, 0);
+        }
+    }
+}
+
+static void transfer_activation_chunk_fp32_to_fp16(__fp16 *restrict vtcm_dst, const float *restrict src, int n_rows,
+                                           int k_block, int k_stride) {
+    for (int r = 0; r < n_rows; r += 2) {
+        int r0 = r / HMX_FP16_TILE_N_ROWS;  // tile row index
+        int r1 = r % HMX_FP16_TILE_N_ROWS;  // intra-tile row idx
+
+        const bool next_row_valid = (r + 1) < n_rows;
+
+        const HVX_Vector *pv_in0 = (const HVX_Vector *) (src + (r + 0) * k_stride);
+        const HVX_Vector *pv_in1 = (const HVX_Vector *) (src + (r + 1) * k_stride);
+        for (int c = 0; c < k_block; c += 32) {
+            HVX_Vector v0 = *pv_in0++;
+            HVX_Vector v1 = next_row_valid ? *pv_in1++ : Q6_V_vzero();
+
+            HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1);
+
+            // compute output position
+            int c0       = c / HMX_FP16_TILE_N_COLS;  // tile column index
+            int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0;
+
+            HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS);
+            tile[r1 / 2]     = v_out;
+        }
+    }
+}
+
+typedef struct {
+    __fp16      *dst;
+    const float *src;
+    int          n_tasks;
+    int          n_tot_chunks;
+    int          n_chunks_per_task;
+    int          k_block;
+    int          k_stride;
+} activation_transfer_task_state_t;
+
+static void transfer_activation_chunk_worker_fn(unsigned int n, unsigned int i, void *data) {
+    activation_transfer_task_state_t *st = (activation_transfer_task_state_t *) data;
+
+    for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) {
+        // one chunk: one row
+        int    chunk_idx  = task_id * st->n_chunks_per_task;
+        size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task);
+
+        __fp16      *dst = st->dst + chunk_idx * st->k_block;
+        const float *src = st->src + chunk_idx * st->k_stride;
+        transfer_activation_chunk_fp32_to_fp16(dst, src, chunk_size, st->k_block, st->k_stride);
+    }
+}
+
+void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride) {
+    assert(k_block % HMX_FP16_TILE_N_COLS == 0 && k_stride % HMX_FP16_TILE_N_COLS == 0);
+    assert(VLEN == 32 * sizeof(float));
+
+    size_t n_tot_chunks      = n_rows;
+    size_t n_chunks_per_task = 32;  // must be multiple of 32 to ensure correct destination address
+
+    activation_transfer_task_state_t state;
+    state.n_tasks           = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task;
+    state.n_tot_chunks      = n_tot_chunks;
+    state.n_chunks_per_task = n_chunks_per_task;
+    state.dst               = dst;
+    state.src               = src;
+    state.k_block           = k_block;
+    state.k_stride          = k_stride;
+
+    worker_pool_run_func(ctx->worker_pool, transfer_activation_chunk_worker_fn, &state, ctx->n_threads);
+}
+
+int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w,
+                                       int m, int k, int n, int weight_type) {
+    // assume k % 32 == 0 && n % 32 == 0
+    const size_t row_stride = get_x4x2_row_stride(weight_type, k);
+    if (row_stride == 0) {
+        return -1;
+    }
+
+    const size_t vtcm_budget = ctx->vtcm_size;
+
+    const size_t K_BLOCK_SIZE = 1024;
+
+    // Fallback: if k doesn't need K-blocking, out-stationary has no advantage
+    const size_t k_iters_check = (k + K_BLOCK_SIZE - 1) / K_BLOCK_SIZE;
+    if (k_iters_check <= 1) {
+        FARF(MEDIUM, "%s: K_BLK=%zu >= k=%d, fallback to standard path", __func__, K_BLOCK_SIZE, k);
+        return FALLBACK_TO_STANDARD;
+    }
+
+    // Dynamic M,N search via hmx_compute_chunks
+    const size_t sub_row_stride_alloc = get_x4x2_row_stride(weight_type, K_BLOCK_SIZE);
+    const size_t per_m                = K_BLOCK_SIZE * sizeof(float)  // scratch1: M×K×4 (act DMA staging F32)
+                         + K_BLOCK_SIZE * sizeof(__fp16);             // activation: M×K×2 (F16 tiles)
+    const size_t per_n = sub_row_stride_alloc                         // scratch0: N×sub_row(K) (packed quant)
+                         + K_BLOCK_SIZE * sizeof(__fp16);             // weight: N×K×2 (F16 tiles)
+    const size_t per_mn       = sizeof(__fp16);                       // output: M×N×2 (out-stationary)
+    // Alignment margin: hex_align_up can add up to 2047 bytes per buffer;
+    // scratch1 (mc×6144) is naturally 2048-aligned, remaining 4 buffers need margin
+    const size_t align_margin = 4 * HMX_FP16_TILE_SIZE;
+    const size_t overhead     = HMX_FP16_TILE_SIZE + 256 + align_margin;  // eye_tile + scales + alignment
+
+    size_t       M_BLOCK_SIZE, N_BLOCK_SIZE, vtcm_used;
+    // Cost-based search: minimize ceil(m/mc)*m_block_cost + ceil(n/nc)*n_block_cost.
+    // From profiling: wt_dequant per element ≈ 1.5× activation load per element.
+    // m_block_cost = n*3: each extra M-block re-dequants all N×K weight (expensive).
+    // n_block_cost = m*2: each extra N-block re-loads all M×K activation (cheaper).
+    const size_t m_block_cost = (size_t) n * 3;
+    const size_t n_block_cost = (size_t) m * 2;
+    if (hmx_compute_chunks(vtcm_budget, overhead, per_n, per_m, per_mn, m, n, m_block_cost, n_block_cost, &M_BLOCK_SIZE,
+                           &N_BLOCK_SIZE, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget);
+        return -1;
+    }
+
+    // Compute precise buffer sizes from searched M,N and fixed K
+    const size_t weight_size  = hex_align_up(N_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t act_size     = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t out_size     = hex_align_up(M_BLOCK_SIZE * N_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t scratch0_sz  = hex_align_up(N_BLOCK_SIZE * sub_row_stride_alloc, HMX_FP16_TILE_SIZE);
+    const size_t scratch1_sz  = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(float), HMX_FP16_TILE_SIZE);
+
+    const size_t total_vtcm = weight_size + act_size + out_size + scratch0_sz + scratch1_sz + HMX_FP16_TILE_SIZE + 256;
+    if (total_vtcm > vtcm_budget) {
+        FARF(HIGH, "%s: VTCM overflow after search: need %zu have %zu (M=%zu N=%zu K=%zu)", __func__, total_vtcm,
+             vtcm_budget, M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE);
+        return -1;
+    }
+
+    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, act_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, out_size);
+    uint8_t *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch0_sz);
+    uint8_t *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch1_sz);
+    __fp16  *vtcm_eye_tile   = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, HMX_FP16_TILE_SIZE);
+    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
+    assert((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) <= vtcm_budget);
+
+    FARF(HIGH, "hmx-mm: m=%d k=%d n=%d wtype=%d block M=%zu N=%zu K=%zu vtcm=%zu/%zu", __func__, m, k, n, weight_type,
+         M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE, (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget);
+
+    // initialize eye tile (32x32 identity matrix)
+    {
+        HVX_Vector v;
+        v = Q6_V_vzero();
+        v = Q6_Vw_vinsert_VwR(v, 0x3c000000);
+        v = Q6_V_vror_VR(v, VLEN - 4);
+        v = Q6_Vw_vinsert_VwR(v, 0x00003c00);
+        for (int i = 0; i < 16; ++i) {
+            ((HVX_Vector *) vtcm_eye_tile)[i] = v;
+            v = Q6_V_vror_VR(v, VLEN - 8);
+        }
+    }
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
+
+    TIMER_DEFINE(fetch);
+    TIMER_DEFINE(act_load);
+    TIMER_DEFINE(wt_dequant);
+    TIMER_DEFINE(core);
+
+    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+
+    for (size_t mr = 0; mr < m; mr += M_BLOCK_SIZE) {
+        size_t m_blk_sz = hex_smin(m - mr, M_BLOCK_SIZE);
+        for (size_t nc = 0; nc < n; nc += N_BLOCK_SIZE) {
+            size_t n_blk_sz = hex_smin(n - nc, N_BLOCK_SIZE);
+
+            const int n_row_tiles = hmx_ceil_div(m_blk_sz, HMX_FP16_TILE_N_ROWS);
+            const int n_col_tiles = hmx_ceil_div(n_blk_sz, HMX_FP16_TILE_N_COLS);
+
+            for (size_t kk = 0; kk < k; kk += K_BLOCK_SIZE) {
+                const size_t k_blk_sz = hex_smin(k - kk, K_BLOCK_SIZE);
+
+                TIMER_START(fetch);
+                // fetch activation block into VTCM
+                {
+                    const float *activation_block = x + mr * k + kk;
+
+                    dma_queue_push(ctx->dma[0],
+                                     dma_make_ptr(vtcm_scratch1, activation_block),
+                                     k_blk_sz * sizeof(float),
+                                     k * sizeof(float),
+                                     k_blk_sz * sizeof(float),
+                                     m_blk_sz);
+                }
+
+                // fetch weight block into VTCM (x4x2 sub-block: quants + scales)
+                const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz);
+                {
+                    qweight_fetch_task_state_t s;
+
+                    const int blk_start = kk / QK_Q4_0x4x2;
+                    const int nb_sub = (k_blk_sz + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2;
+                    const int    full_qrow      = (weight_type == HTP_TYPE_Q8_0) ? k : (k / 2);
+                    const int    scale_blk_size =
+                        (weight_type == HTP_TYPE_MXFP4) ? HMX_X4X2_MXFP4_EBLK_SIZE : HMX_X4X2_DBLK_SIZE;
+
+                    s.dst         = vtcm_scratch0;
+                    s.src         = w + nc * row_stride;
+                    s.n_rows      = n_blk_sz;
+                    s.src_stride  = row_stride;
+                    s.dst_stride  = sub_row_stride;
+                    s.quant_off =
+                        (weight_type == HTP_TYPE_Q8_0) ? (blk_start * QK_Q8_0x4x2) : (blk_start * (QK_Q4_0x4x2 / 2));
+                    s.quant_width =
+                        (weight_type == HTP_TYPE_Q8_0) ? (nb_sub * QK_Q8_0x4x2) : (nb_sub * (QK_Q4_0x4x2 / 2));
+                    s.scale_off   = full_qrow + blk_start * scale_blk_size;
+                    s.scale_width = nb_sub * scale_blk_size;
+
+                    // 2D DMA: quants sub-range
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(s.dst, s.src + s.quant_off),
+                                      s.dst_stride, s.src_stride, s.quant_width, s.n_rows);
+                    // 2D DMA: scales sub-range
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(s.dst + s.quant_width, s.src + s.scale_off),
+                                      s.dst_stride, s.src_stride, s.scale_width, s.n_rows);
+                }
+                TIMER_STOP(fetch);
+
+                TIMER_START(act_load);
+                // load activation block
+                {
+                    dma_queue_pop(ctx->dma[0]); // wait for act DNA
+                    transfer_activation_chunk_threaded(ctx, vtcm_activation, (float *) vtcm_scratch1, m_blk_sz, k_blk_sz, k_blk_sz);
+                }
+                TIMER_STOP(act_load);
+
+                TIMER_START(wt_dequant);
+                // dequantize weight block
+                {
+                    dma_queue_pop(ctx->dma[0]);
+                    dma_queue_pop(ctx->dma[0]);
+                    // vtcm_scratch0 is used to store the qweight chunk
+                    // worker_pool_run_func already returned, so fetch is done
+                    dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, vtcm_scratch0,
+                                                                n_blk_sz, k_blk_sz, sub_row_stride, weight_type);
+                }
+                TIMER_STOP(wt_dequant);
+
+                // core mma
+                TIMER_START(core);
+                {
+                    core_mma_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, vtcm_eye_tile, n_row_tiles,
+                                        n_col_tiles, k_blk_sz / HMX_FP16_TILE_N_COLS, kk == 0);
+                }
+                TIMER_STOP(core);
+            }
+
+            // store output block
+            {
+                float *output_block = out + (mr * n + nc);
+                transfer_output_chunk_threaded(ctx, output_block, vtcm_output, m_blk_sz, n_blk_sz, n);
+            }
+        }
+    }
+
+    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+
+#if defined(ENABLE_PROFILE_TIMERS)
+    FARF(HIGH, "fetch: %lld us, act_load: %lld us, wt_dequant: %lld us, core: %lld us",
+         TIMER_US(fetch), TIMER_US(act_load), TIMER_US(wt_dequant), TIMER_US(core));
+#endif
+    return 0;
+}
diff --git a/ggml/src/ggml-hexagon/htp/hmx-ops.h b/ggml/src/ggml-hexagon/htp/hmx-ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..fb95d36f5a964b09d0320a6417a5bcbd4ced9da7
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-ops.h
@@ -0,0 +1,68 @@
+// HMX operation entry-point declarations.
+// Ported from htp-ops-lib/include/dsp/ops.h (renamed, benchmark kernels removed). (https://github.com/haozixu/htp-ops-lib)
+
+#ifndef HMX_OPS_H
+#define HMX_OPS_H
+
+#include <stddef.h>
+#include <stdint.h>
+
+#include "htp-ops.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+typedef struct {
+    float        *dst;
+    const float  *activation;
+    const __fp16 *permuted_weight;
+    int           m;
+    int           k;
+    int           n;
+    int           act_stride;
+    int           weight_stride;
+    int           dst_stride;
+    int           ne02;
+    int           ne03;
+    int           ne12;
+    int           ne13;
+    size_t        src0_nb2;
+    size_t        src0_nb3;
+    size_t        src1_nb2;
+    size_t        src1_nb3;
+    size_t        dst_nb2;
+    size_t        dst_nb3;
+} hmx_matmul_w16a32_batched_params_t;
+
+// HMX matrix multiplication — tile-permuted FP16 weights, FP32 activation/output
+// act_stride: activation row stride in elements (= k for contiguous, or
+//             nb[1]/sizeof(float) for permuted tensors like attention Q).
+// weight_stride: weight row stride in elements (= k for compact weights, or
+//                nb[1]/sizeof(__fp16) for permuted KV-cache views used by QK).
+int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx,
+                                float *restrict dst,
+                                const float *activation,
+                                const __fp16 *permuted_weight,
+                                int m, int k, int n,
+                                int act_stride,
+                                int weight_stride);
+
+// Batched F16 wrapper over hmx_mat_mul_permuted_w16a32.
+// Batch semantics match ggml_mul_mat(): src0 broadcasts to src1 in dims 2/3.
+int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx,
+                                        const hmx_matmul_w16a32_batched_params_t *params);
+
+// HMX matrix multiplication — tile-permuted quantised weights (Q4_0/Q8_0/IQ4_NL)
+int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx,
+                                      float *restrict dst,
+                                      const float *activation,
+                                      const uint8_t *permuted_weight,
+                                      int m, int k, int n,
+                                      int weight_type);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // HMX_OPS_H
diff --git a/ggml/src/ggml-hexagon/htp/hmx-profile.h b/ggml/src/ggml-hexagon/htp/hmx-profile.h
new file mode 100644
index 0000000000000000000000000000000000000000..01eece720c579ca2ee5ff722d339338f35a1064b
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-profile.h
@@ -0,0 +1,34 @@
+// Conditional fine-grained profiling macros for HMX operations.
+//
+// Define ENABLE_PROFILE_TIMERS (via compiler flag or before including this
+// header) to instrument sub-operation latencies with HAP qtimer.  When the
+// macro is not defined the TIMER_* helpers expand to nothing so there is zero
+// overhead.
+//
+// Usage:
+//   TIMER_DEFINE(my_phase);          // declare accumulator variable
+//   TIMER_START(my_phase);           // snapshot start time
+//   ... work ...
+//   TIMER_STOP(my_phase);            // accumulate elapsed ticks
+//   FARF(ALWAYS, "my_phase: %lld us", TIMER_US(my_phase));
+
+#ifndef HMX_PROFILE_H
+#define HMX_PROFILE_H
+
+#include <HAP_perf.h>
+
+// #define ENABLE_PROFILE_TIMERS
+
+#if defined(ENABLE_PROFILE_TIMERS)
+#  define TIMER_DEFINE(name) int64_t name##_ticks = 0
+#  define TIMER_START(name)  int64_t name##_t0 = HAP_perf_get_qtimer_count()
+#  define TIMER_STOP(name)   name##_ticks += HAP_perf_get_qtimer_count() - name##_t0
+#  define TIMER_US(name)     HAP_perf_qtimer_count_to_us(name##_ticks)
+#else
+#  define TIMER_DEFINE(name)
+#  define TIMER_START(name)
+#  define TIMER_STOP(name)
+#  define TIMER_US(name)     0LL
+#endif
+
+#endif // HMX_PROFILE_H
diff --git a/ggml/src/ggml-hexagon/htp/hmx-queue.c b/ggml/src/ggml-hexagon/htp/hmx-queue.c
new file mode 100644
index 0000000000000000000000000000000000000000..5b1d83a0cbf0bbf8392c8b3c159a832e2070cd1d
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-queue.c
@@ -0,0 +1,158 @@
+#pragma clang diagnostic ignored "-Wunused-function"
+
+#include <stdbool.h>
+#include <stdlib.h>
+#include <string.h>
+
+#include <qurt_thread.h>
+#include <qurt_futex.h>
+
+#include <HAP_compute_res.h>
+
+#include "hmx-queue.h"
+
+#define QURT_LOWEST_PRIO (254)
+
+static inline void hmx_lock(struct hmx_queue *q)
+{
+    if (!q->hmx_locked) {
+        HAP_compute_res_hmx_lock(q->hap_rctx);
+        q->hmx_locked = true;
+    }
+}
+
+static inline void hmx_unlock(struct hmx_queue *q)
+{
+    if (q->hmx_locked) {
+        HAP_compute_res_hmx_unlock(q->hap_rctx);
+        q->hmx_locked = false;
+    }
+}
+
+static inline void hmx_queue_process(struct hmx_queue *q, bool* killed) {
+    unsigned int ir = atomic_load(&q->idx_read);
+
+    while (ir != atomic_load(&q->idx_write)) {
+        struct hmx_queue_desc *d = &q->desc[ir];
+        if (!d->done) {
+            FARF(HIGH, "hmx-queue-process: ir %u func %p data %p", ir, d->func, d->data);
+
+            enum hmx_queue_signal sig = (enum hmx_queue_signal) (unsigned int) d->func;
+            switch (sig) {
+                case HMX_QUEUE_NOOP:    /* noop */;     break;
+                case HMX_QUEUE_KILL:    *killed = true; break;
+                case HMX_QUEUE_SUSPEND: hmx_unlock(q);  break;
+                default:
+                    hmx_lock(q);
+                    d->func(d->data);
+                    break;
+            }
+
+            atomic_fetch_add(&d->done, 1);
+        }
+
+        ir = (ir + 1) & q->idx_mask;
+        atomic_store(&q->idx_read, ir);
+    }
+}
+
+static void hmx_queue_thread(void * arg) {
+    struct hmx_queue * q = (struct hmx_queue *) arg;
+
+    FARF(HIGH, "hmx-queue-thread: started");
+
+    bool killed = false;
+
+    unsigned int poll_cnt  = HMX_QUEUE_POLL_COUNT;
+    unsigned int prev_seqn = 0;
+    while (!killed) {
+        unsigned int seqn = atomic_load(&q->seqn);
+        if (seqn == prev_seqn) {
+            if (--poll_cnt) { hex_pause(); continue; }
+            FARF(HIGH, "hmx-queue-thread: sleeping");
+            qurt_futex_wait(&q->seqn, prev_seqn);
+            continue;
+        }
+        prev_seqn = seqn;
+        poll_cnt  = HMX_QUEUE_POLL_COUNT;
+
+        FARF(HIGH, "hmx-queue-thread: new work");
+
+        hmx_queue_process(q, &killed);
+    }
+
+    FARF(HIGH, "hmx-queue-thread: stopped");
+}
+
+struct hmx_queue * hmx_queue_create(size_t capacity, uint32_t hap_rctx) {
+    capacity = hex_ceil_pow2(capacity);
+
+    struct hmx_queue * q = (struct hmx_queue *) memalign(32, sizeof(struct hmx_queue));
+    if (q == NULL) {
+        FARF(ERROR, "%s: failed to allocate DMA queue\n", __FUNCTION__);
+        return NULL;
+    }
+    memset(q, 0, sizeof(struct hmx_queue));
+    q->capacity = capacity;
+    q->idx_mask = capacity - 1;
+    q->hap_rctx = hap_rctx;
+
+    q->desc = (struct hmx_queue_desc *) memalign(64, capacity * sizeof(struct hmx_queue_desc));
+    if (!q->desc) {
+        FARF(ERROR, "hmx-queue: failed to allocate HMX queue descriptors\n");
+        return NULL;
+    }
+    memset(q->desc, 0, capacity * sizeof(struct hmx_queue_desc));
+
+    const size_t stack_size = HMX_QUEUE_THREAD_STACK_SIZE;
+    q->stack = (unsigned char *) memalign(64, stack_size);
+    if (!q->stack) {
+        FARF(ERROR, "hmx-queue: thread stack allocation failed (%zu bytes)", stack_size);
+        return NULL;
+    }
+    memset(q->stack, 0, stack_size);
+
+    // Match caller thread priority (same pattern as worker-pool.c).
+    int prio = qurt_thread_get_priority(qurt_thread_get_id());
+    if (prio < 1) {
+        prio = 1;
+    }
+    if (prio > QURT_LOWEST_PRIO) {
+        prio = QURT_LOWEST_PRIO;
+    }
+
+    qurt_thread_attr_t attr;
+    qurt_thread_attr_init(&attr);
+    qurt_thread_attr_set_stack_addr(&attr, q->stack);
+    qurt_thread_attr_set_stack_size(&attr, stack_size);
+    qurt_thread_attr_set_priority(&attr, prio);
+    qurt_thread_attr_set_name(&attr, "hmx-queue");
+
+    int err = qurt_thread_create(&q->thread, &attr, hmx_queue_thread, q);
+    if (err) {
+        FARF(ERROR, "hmx-worker: thread create failed (%d)", err);
+        return NULL;
+    }
+
+    FARF(HIGH, "hmx-queue: capacity %u\n", capacity);
+
+    return q;
+}
+
+void hmx_queue_delete(struct hmx_queue * q) {
+    if (!q) {
+        return;
+    }
+
+    // Tell the worker to exit.
+    hmx_queue_flush(q);
+    hmx_queue_signal(q, HMX_QUEUE_KILL);
+    hmx_queue_flush(q);
+
+    int status;
+    qurt_thread_join(q->thread, &status);
+
+    free(q->desc);
+    free(q->stack);
+    free(q);
+}
diff --git a/ggml/src/ggml-hexagon/htp/hmx-queue.h b/ggml/src/ggml-hexagon/htp/hmx-queue.h
new file mode 100644
index 0000000000000000000000000000000000000000..0d48c280f52667396dcf858e574c64f5989c64da
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-queue.h
@@ -0,0 +1,134 @@
+#ifndef HMX_QUEUE_H
+#define HMX_QUEUE_H
+
+#include <stdbool.h>
+#include <stdint.h>
+#include <stdatomic.h>
+
+#include <hexagon_types.h>
+#include <qurt_thread.h>
+#include <qurt_futex.h>
+#include <HAP_farf.h>
+
+#include "hex-utils.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#define HMX_QUEUE_THREAD_STACK_SIZE (16 * 1024)
+#define HMX_QUEUE_POLL_COUNT        2000
+
+typedef void (*hmx_queue_func)(void *);
+
+// Dummy funcs used as signals
+enum hmx_queue_signal {
+    HMX_QUEUE_NOOP = 0, // aka NULL
+    HMX_QUEUE_SUSPEND,
+    HMX_QUEUE_KILL
+};
+
+struct hmx_queue_desc {
+    hmx_queue_func   func;
+    void *           data;
+    atomic_uint      done;
+};
+
+struct hmx_queue {
+    struct hmx_queue_desc * desc;
+    atomic_uint      idx_write; // updated by producer (push)
+    atomic_uint      idx_read;  // updated by consumer (process)
+    unsigned int     idx_pop;   // updated by producer (pop)
+    uint32_t         idx_mask;
+    uint32_t         capacity;
+
+    atomic_uint      seqn;      // incremented for all pushes, used with futex
+    qurt_thread_t    thread;
+    void *           stack;
+    uint32_t         hap_rctx;
+    bool             hmx_locked;
+};
+
+struct hmx_queue * hmx_queue_create(size_t capacity, uint32_t hap_rctx);
+void hmx_queue_delete(struct hmx_queue * q);
+
+static inline struct hmx_queue_desc hmx_queue_make_desc(hmx_queue_func func, void * data) {
+    struct hmx_queue_desc d = { func, data };
+    return d;
+}
+
+static inline bool hmx_queue_push(struct hmx_queue * q, struct hmx_queue_desc d) {
+    unsigned int ir = atomic_load(&q->idx_read);
+    unsigned int iw = q->idx_write;
+
+    if (((iw + 1) & q->idx_mask) == ir) {
+        FARF(HIGH, "hmx-queue-push: queue is full\n");
+        return false;
+    }
+
+    atomic_store(&d.done, 0);
+
+    FARF(HIGH, "hmx-queue-push: iw %u func %p data %p\n", iw, d.func, d.data);
+
+    q->desc[iw] = d;
+    atomic_store(&q->idx_write, (iw + 1) & q->idx_mask);
+    // wake up our thread
+    atomic_fetch_add(&q->seqn, 1);
+    qurt_futex_wake(&q->seqn, 1);
+
+    return true;
+}
+
+static inline bool hmx_queue_signal(struct hmx_queue *q, enum hmx_queue_signal sig) {
+    return hmx_queue_push(q, hmx_queue_make_desc((hmx_queue_func) sig, NULL));
+}
+
+static inline bool hmx_queue_empty(struct hmx_queue * q) {
+    return q->idx_pop == q->idx_write;
+}
+
+static inline uint32_t hmx_queue_depth(struct hmx_queue * q) {
+    return (q->idx_read - q->idx_read) & q->idx_mask;
+}
+
+static inline uint32_t hmx_queue_capacity(struct hmx_queue * q) {
+    return q->capacity;
+}
+
+static inline struct hmx_queue_desc hmx_queue_pop(struct hmx_queue * q) {
+    unsigned int ip = q->idx_pop;
+    unsigned int iw = q->idx_write;
+
+    struct hmx_queue_desc rd = { NULL, NULL };
+    if (ip == iw) {
+        return rd;
+    }
+
+    // Wait for desc to complete
+    struct hmx_queue_desc * d = &q->desc[ip];
+    while (!atomic_load(&d->done)) {
+        FARF(HIGH, "hmx-queue-pop: waiting for HMX queue : %u\n", ip);
+        hex_pause();
+    }
+
+    rd = *d;
+    q->idx_pop = (ip + 1) & q->idx_mask;
+
+    FARF(HIGH, "hmx-queue-pop: ip %u func %p data %p\n", ip, rd.func, rd.data);
+    return rd;
+}
+
+static inline void hmx_queue_flush(struct hmx_queue * q) {
+    while (hmx_queue_pop(q).func != NULL) ;
+}
+
+static inline void hmx_queue_suspend(struct hmx_queue *q) {
+    hmx_queue_signal(q, HMX_QUEUE_SUSPEND);
+    hmx_queue_flush(q);
+}
+
+#ifdef __cplusplus
+}  // extern "C"
+#endif
+
+#endif /* HMX_QUEUE_H */
diff --git a/ggml/src/ggml-hexagon/htp/hmx-utils.h b/ggml/src/ggml-hexagon/htp/hmx-utils.h
new file mode 100644
index 0000000000000000000000000000000000000000..af04619cebb3de7f47d383252e63fabc8227ed93
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-utils.h
@@ -0,0 +1,32 @@
+// HMX tile-level inline helpers (FP16 32x32 tile operations).
+// Ported from htp-ops-lib/include/dsp/hmx_utils.h. (https://github.com/haozixu/htp-ops-lib)
+
+#ifndef HMX_UTILS_H
+#define HMX_UTILS_H
+
+#include <hexagon_types.h>
+#include <stddef.h>
+
+#define HMX_FP16_TILE_N_ROWS 32
+#define HMX_FP16_TILE_N_COLS 32
+#define HMX_FP16_TILE_N_ELMS 1024
+#define HMX_FP16_TILE_SIZE   2048
+
+#define HMX_INLINE_ALWAYS inline __attribute__((unused, always_inline))
+
+// Initialise aligned 256-byte area with scale vector + zero padding.
+static HMX_INLINE_ALWAYS void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) {
+    HVX_Vector *pv = (HVX_Vector *)out_scales;
+    *pv++ = v_scale;
+    *pv   = Q6_V_vzero();
+}
+
+// --- VTCM sequential allocator (from htp-ops-lib/include/dsp/vtcm_mgr.h) ---
+
+static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) {
+    uint8_t *p = *vtcm_ptr;
+    *vtcm_ptr += size;
+    return p;
+}
+
+#endif // HMX_UTILS_H
diff --git a/ggml/src/ggml-hexagon/htp/htp-ctx.h b/ggml/src/ggml-hexagon/htp/htp-ctx.h
index a707d98239ca93d82d839b9bcaaa9798c93b4033..8b5e47adef8743c186fe4ccbe9f60ee9df4865af 100644
--- a/ggml/src/ggml-hexagon/htp/htp-ctx.h
+++ b/ggml/src/ggml-hexagon/htp/htp-ctx.h
@@ -2,6 +2,8 @@
 #define HTP_CTX_H
 
 #include "hex-dma.h"
+#include "hmx-queue.h"
+#include "htp-ops.h"
 #include "worker-pool.h"
 
 #include <assert.h>
@@ -10,26 +12,91 @@
 #include <stdint.h>
 
 #define HTP_MAX_NTHREADS 10
+#define HTP_MAX_MMAPS    16
+
+// Memory mapping
+struct htp_mmap {
+    uint64_t size;
+    uint64_t base;
+    uint32_t fd;
+    uint32_t pinned;
+};
+
+// Scratchpad state
+struct htp_spad {
+    const struct htp_tensor * src;             // original src of the data (for reuse)
+    uint8_t *                 data;            // pointer to an area in vtcm
+    uint32_t                  stride;          // stride used inside this spad
+    uint32_t                  size;            // total size
+    uint32_t                  size_per_thread; // size per thread
+};
+
+struct htp_context;
+
+// Context while processing an Op
+// TODO: fold this into the main context
+struct htp_ops_context {
+    struct htp_context * ctx;
+
+    enum htp_op_code    op; // FIXME: rename to opcode
+    int32_t             op_params[HTP_OP_MAX_PARAMS];
+
+    const struct htp_tensor * src[HTP_OP_MAX_INPUTS];
+    const struct htp_tensor * dst;
+
+    // TODO convert these to an array
+    struct htp_spad src0_spad;
+    struct htp_spad src1_spad;
+    struct htp_spad src2_spad;
+    struct htp_spad src3_spad;
+    struct htp_spad dst_spad;
+
+    uint32_t n_threads;
+    uint32_t flags;
+};
 
 // Main context for htp DSP backend
 struct htp_context {
-    dspqueue_t            queue;
-    dma_queue *           dma[HTP_MAX_NTHREADS];
-    worker_pool_context_t worker_pool;
-    uint32_t              n_threads;
+    dspqueue_t             queue;
+    dma_queue *            dma[HTP_MAX_NTHREADS];
+    struct htp_mmap        mmap[HTP_MAX_MMAPS];
+    worker_pool_context_t  worker_pool;
+    uint32_t               n_threads;
+
+    int                    thread_id;
+    int                    thread_prio;
 
-    int thread_id;
-    int thread_prio;
+    int                    hmx_enabled;
 
-    uint8_t * vtcm_base;
-    size_t    vtcm_size;
-    uint32_t  vtcm_rctx;
+    uint8_t *              vtcm_base;
+    size_t                 vtcm_size;
+    uint32_t               vtcm_rctx;
+    atomic_bool            vtcm_valid;
+    atomic_bool            vtcm_needs_release;
 
-    atomic_bool vtcm_valid;
-    atomic_bool vtcm_inuse;
-    atomic_bool vtcm_needs_release;
+    struct htp_ops_context octx;
 
-    uint32_t opmask;
+#ifdef HTP_HAS_HMX
+    struct hmx_queue *     hmx_queue; // Async HMX queue for pipeline overlap
+#endif
 };
 
+int op_matmul(struct htp_ops_context * octx);
+int op_matmul_id(struct htp_ops_context * octx);
+int op_binary(struct htp_ops_context * octx);
+int op_unary(struct htp_ops_context * octx);
+int op_sum_rows(struct htp_ops_context * octx);
+int op_activations(struct htp_ops_context * octx);
+int op_softmax(struct htp_ops_context * octx);
+int op_add_id(struct htp_ops_context * octx);
+int op_rope(struct htp_ops_context * octx);
+int op_flash_attn_ext(struct htp_ops_context * octx);
+int op_set_rows(struct htp_ops_context * octx);
+int op_get_rows(struct htp_ops_context * octx);
+int op_cpy(struct htp_ops_context * octx);
+int op_repeat(struct htp_ops_context * octx);
+int op_argsort(struct htp_ops_context * octx);
+int op_ssm_conv(struct htp_ops_context * octx);
+int op_cumsum(struct htp_ops_context * octx);
+
 #endif /* HTP_CTX_H */
diff --git a/ggml/src/ggml-hexagon/htp/htp-msg.h b/ggml/src/ggml-hexagon/htp/htp-msg.h
deleted file mode 100644
index 56bc5b622c5892e6ff512370001777faaeb8feb2..0000000000000000000000000000000000000000
--- a/ggml/src/ggml-hexagon/htp/htp-msg.h
+++ /dev/null
@@ -1,160 +0,0 @@
-#ifndef HTP_MSG_H
-#define HTP_MSG_H
-
-#include <assert.h>
-
-// ggml-common.h must be included prio to this header
-
-// Mask to enable various stages of the Ops.
-// Used for debugging and profiling.
-enum {
-    HTP_OPMASK_QUEUE    = (1 << 0),  // Enable Queueing (ie calls into the DSP)
-    HTP_OPMASK_QUANTIZE = (1 << 1),  // Enable Quantize
-    HTP_OPMASK_COMPUTE  = (1 << 2),  // Enable Compute
-};
-
-// Op flags
-enum {
-    HTP_OPFLAGS_SKIP_QUANTIZE = (1 << 0),  // Skip dynamic quantization (reuse quantized tensors)
-    HTP_OPFLAGS_SKIP_COMPUTE  = (1 << 1),  // Skip actual computation (used for profiling)
-    HTP_OPFLAGS_EARLY_WAKEUP  = (1 << 2)   // Send early wakeup notification
-};
-
-enum htp_status {
-    HTP_STATUS_OK             = 1,
-    HTP_STATUS_INTERNAL_ERR   = 2,
-    HTP_STATUS_NO_SUPPORT     = 3,
-    HTP_STATUS_INVAL_PARAMS   = 4,
-    HTP_STATUS_VTCM_TOO_SMALL = 5,
-};
-
-// The values must match the ggml_type.
-// Duplicated here because we can't include full ggml.h in the htp build.
-// We have some static_asserts in the cpp code to ensure things are in sync.
-enum htp_data_type {
-    HTP_TYPE_F32   = 0,
-    HTP_TYPE_F16   = 1,
-    HTP_TYPE_Q4_0  = 2,
-    HTP_TYPE_Q8_0  = 8,
-    HTP_TYPE_I32   = 26,
-    HTP_TYPE_I64   = 27,
-    HTP_TYPE_MXFP4 = 39,
-    HTP_TYPE_COUNT
-};
-
-// Do not reorder first 4 (used as an index)
-enum htp_op {
-    HTP_OP_MUL = 0,
-    HTP_OP_ADD = 1,
-    HTP_OP_SUB = 2,
-    HTP_OP_DIV = 3,
-    HTP_OP_MUL_MAT,
-    HTP_OP_MUL_MAT_ID,
-    HTP_OP_RMS_NORM,
-    HTP_OP_UNARY_SILU,
-    HTP_OP_UNARY_GELU,
-    HTP_OP_UNARY_SIGMOID,
-    HTP_OP_UNARY_EXP,
-    HTP_OP_UNARY_NEG,
-    HTP_OP_UNARY_SOFTPLUS,
-    HTP_OP_GLU_SWIGLU,
-    HTP_OP_GLU_SWIGLU_OAI,
-    HTP_OP_GLU_GEGLU,
-    HTP_OP_SOFTMAX,
-    HTP_OP_ADD_ID,
-    HTP_OP_ROPE,
-    HTP_OP_FLASH_ATTN_EXT,
-    HTP_OP_SET_ROWS,
-    HTP_OP_GET_ROWS,
-    HTP_OP_SCALE,
-    HTP_OP_CPY,
-    HTP_OP_ARGSORT,
-    HTP_OP_SQR,
-    HTP_OP_SQRT,
-    HTP_OP_SUM_ROWS,
-    HTP_OP_SSM_CONV,
-    HTP_OP_REPEAT,
-    INVALID
-};
-
-static inline size_t htp_t_block_size(uint32_t t) {
-    switch (t) {
-        case HTP_TYPE_F32:
-            return 1;
-        case HTP_TYPE_F16:
-            return 1;
-        case HTP_TYPE_Q4_0:
-            return QK4_0;
-        case HTP_TYPE_Q8_0:
-            return QK8_0;
-        case HTP_TYPE_MXFP4:
-            return QK_MXFP4;
-        default:
-            assert(0 && "unsupported HTP data type");
-    }
-    return 0;
-}
-
-static inline size_t htp_type_nbytes(uint32_t t) {
-    switch (t) {
-        case HTP_TYPE_F32:
-            return 4;
-        case HTP_TYPE_F16:
-            return 2;
-        case HTP_TYPE_Q4_0:
-            return sizeof(block_q4_0);
-        case HTP_TYPE_Q8_0:
-            return sizeof(block_q8_0);
-        case HTP_TYPE_MXFP4:
-            return sizeof(block_mxfp4);
-        default:
-            assert(0 && "unsupported HTP data type");
-    }
-    return 0;
-}
-
-// Internal types
-#define QK_Q4_0x4x2  256  // 4x Q4_0 blocks packed with next 4x Q4_0 blocks (size in bytes 128)
-#define QK_Q8_0x4x2  256  // 4x Q8_0 blocks concat with next 4x Q8_0 blocks
-#define QK_MXFP4x4x2 256  // 4x MXFP4 blocks concat with next 4x MXFP4 blocks
-
-#define HTP_MAX_DIMS 4
-
-struct htp_tensor {
-    uint32_t data;                // Buffer offset in the messages, and data pointer on the NSP
-    uint32_t type;                // Data type
-    uint32_t ne[HTP_MAX_DIMS];    // Number of elements
-    uint32_t nb[HTP_MAX_DIMS];    // Stride in bytes (see ggml.h ggml_tensor)
-};
-
-#define HTP_MAX_OP_PARAMS 64
-
-struct htp_general_req {
-    uint32_t op;  // GGML/HTP Op
-    int32_t  op_params[HTP_MAX_OP_PARAMS / sizeof(int32_t)];
-    // Params for the op, e.g. epsilon of RMS norm
-    uint32_t flags;          // Request flags
-
-    struct htp_tensor src0;  // Input0 tensor
-    struct htp_tensor src1;  // Input1 tensor
-    struct htp_tensor src2;  // Input2 tensor
-    struct htp_tensor src3;  // Input3 tensor
-    struct htp_tensor src4;  // Input4 tensor
-    struct htp_tensor dst;   // Output tensor
-
-    // should be multiple of 64 bytes (cacheline)
-};
-
-struct htp_general_rsp {
-    uint32_t op;           // GGML/HTP Op
-    uint32_t status;       // HTP_STATUS_...
-    uint32_t prof_usecs;   // Number of usec per request
-    uint32_t prof_cycles;  // Number of cycles per request
-    uint32_t prof_pkts;    // Number of instruction packets per request
-    uint8_t  unused[44];   // Pad to 64 bytes
-};
-
-#define HTP_MAX_MESSAGE_SIZE   sizeof(struct htp_general_req)
-#define HTP_MAX_PACKET_BUFFERS 8
-
-#endif /* HTP_MSG_H */
diff --git a/ggml/src/ggml-hexagon/htp/htp-ops.h b/ggml/src/ggml-hexagon/htp/htp-ops.h
index f643fdc340dbb845e9505b621a4000622c83ff49..79b5ecd2270956e06aee053f63a2f6d2400230bc 100644
--- a/ggml/src/ggml-hexagon/htp/htp-ops.h
+++ b/ggml/src/ggml-hexagon/htp/htp-ops.h
@@ -1,64 +1,161 @@
 #ifndef HTP_OPS_H
 #define HTP_OPS_H
 
-#include "htp-ctx.h"
-#include "htp-msg.h"
-#include "worker-pool.h"
-
 #include <assert.h>
-#include <stdint.h>
 
-#include <hex-fastdiv.h>
+// ggml-common.h must be included prio to this header
+
+enum htp_status {
+    HTP_STATUS_OK             = 1,
+    HTP_STATUS_INTERNAL_ERR   = 2,
+    HTP_STATUS_NO_SUPPORT     = 3,
+    HTP_STATUS_INVAL_PARAMS   = 4,
+    HTP_STATUS_VTCM_TOO_SMALL = 5,
+};
+
+// First set of values must match the ggml_type.
+// Duplicated here because we can't include full ggml.h in the htp build.
+// We have some static_asserts in the cpp code to ensure things are in sync.
+enum htp_data_type {
+    HTP_TYPE_F32    = 0,
+    HTP_TYPE_F16    = 1,
+    HTP_TYPE_Q4_0   = 2,
+    HTP_TYPE_Q8_0   = 8,
+    HTP_TYPE_IQ4_NL = 20,
+    HTP_TYPE_I32    = 26,
+    HTP_TYPE_I64    = 27,
+    HTP_TYPE_MXFP4  = 39,
+
+    // types used internally for repack, dyn.quant, etc
+    HTP_TYPE_Q4_0x4x2 = 200,
+    HTP_TYPE_Q8_0x4x2,
+    HTP_TYPE_MXFP4x4x2,
+
+    HTP_TYPE_INVALID
+};
+
+// Constats for internal types
+#define QK_Q4_0x4x2  256  // 4x Q4_0  blocks packed with next 4x Q4_0 blocks (size in bytes 128)
+#define QK_Q8_0x4x2  256  // 4x Q8_0  blocks concat with next 4x Q8_0 blocks
+#define QK_MXFP4x4x2 256  // 4x MXFP4 blocks concat with next 4x MXFP4 blocks
+
+
+// Mask to enable various stages of the Ops.
+// Used for debugging and profiling.
+enum htp_op_mask {
+    HTP_OPMASK_QUEUE    = (1 << 0),  // Enable Queueing (ie calls into the DSP)
+    HTP_OPMASK_COMPUTE  = (1 << 1),  // Enable Compute
+};
+
+// Do not reorder first 4 (used as an index)
+enum htp_op_code {
+    HTP_OP_MUL = 0,
+    HTP_OP_ADD = 1,
+    HTP_OP_SUB = 2,
+    HTP_OP_DIV = 3,
+    HTP_OP_MUL_MAT,
+    HTP_OP_MUL_MAT_ID,
+    HTP_OP_RMS_NORM,
+    HTP_OP_UNARY_SILU,
+    HTP_OP_UNARY_GELU,
+    HTP_OP_UNARY_SIGMOID,
+    HTP_OP_UNARY_EXP,
+    HTP_OP_UNARY_NEG,
+    HTP_OP_UNARY_SOFTPLUS,
+    HTP_OP_GLU_SWIGLU,
+    HTP_OP_GLU_SWIGLU_OAI,
+    HTP_OP_GLU_GEGLU,
+    HTP_OP_SOFTMAX,
+    HTP_OP_ADD_ID,
+    HTP_OP_ROPE,
+    HTP_OP_FLASH_ATTN_EXT,
+    HTP_OP_SET_ROWS,
+    HTP_OP_GET_ROWS,
+    HTP_OP_SCALE,
+    HTP_OP_CPY,
+    HTP_OP_ARGSORT,
+    HTP_OP_SQR,
+    HTP_OP_SQRT,
+    HTP_OP_SUM_ROWS,
+    HTP_OP_SSM_CONV,
+    HTP_OP_REPEAT,
+    HTP_OP_CUMSUM,
+
+    HTP_OP_INVALID
+};
+
+#define HTP_OP_MAX_DIMS    4    // aka GGML_MAX_DIMS
+#define HTP_OP_MAX_INPUTS  6    // aka GGML_MAX_SRCS
+#define HTP_OP_MAX_PARAMS  16   // aka GGML_MAX_OP_PARAMS
+
+#define HTP_OP_MAX_BUFS    8
+#define HTP_OP_MAX_REQS    256
+#define HTP_OP_MAX_TENSORS (HTP_OP_MAX_REQS * HTP_OP_MAX_INPUTS + HTP_OP_MAX_REQS)
+
+#if __HVX_ARCH__ < 75
+#define HTP_OP_MAX_VMEM    (3167538380u)
+#else
+#define HTP_OP_MAX_VMEM    (3221225472u)
+#endif
 
-// ggml-common.h must be included prior to this header
+#define HTP_MMAP_MAX_VMEM  (2147483648u)
 
-struct htp_spad {
-    uint8_t * data;
-    size_t    stride;
-    size_t    size;
-    size_t    size_per_thread;
+enum htp_tensor_flags {
+    HTP_TENSOR_COMPUTE = (1U << 0), // Tensor buffer temporal compute data (not weights)
+    HTP_TENSOR_FLUSHED = (1U << 1)  // Tensor buffer has been flushed (set by the NPU)
 };
 
-struct htp_ops_context {
-    struct htp_context * ctx;
+// Tensor descriptor
+struct htp_tensor {
+    uint32_t data;                 // Buffer offset in the messages, and data pointer on the NPU
+    uint32_t size;                 // Data size in bytes
+    uint32_t flags;                // Buffer / tensor flags
+    uint16_t type;                 // Data type
+    uint16_t bi;                   // Buffer index
+    uint32_t ne[HTP_OP_MAX_DIMS];  // Number of elements
+    uint32_t nb[HTP_OP_MAX_DIMS];  // Stride in bytes (see ggml.h ggml_tensor)
+};
 
-    enum htp_op op;
-    int32_t     op_params[HTP_MAX_OP_PARAMS / sizeof(int32_t)];
+// Buffer descriptor
+struct htp_buf_desc {
+    uint64_t base;     // base address
+    uint64_t size;     // total size
+    uint32_t flags;    // buffer flags (unused)
+    uint32_t fd;       // file descriptor
+};
 
-    struct htp_tensor src0;
-    struct htp_tensor src1;
-    struct htp_tensor src2;
-    struct htp_tensor src3;
-    struct htp_tensor src4;
-    struct htp_tensor dst;
+enum htp_op_flags {
+    HTP_OPFLAGS_SKIP_COMPUTE  = (1U << 0), // Skip actual computation (used for profiling)
+};
 
-    struct htp_spad src0_spad;
-    struct htp_spad src1_spad;
-    struct htp_spad src2_spad;
-    struct htp_spad src3_spad;
-    struct htp_spad dst_spad;
+// Op descriptor
+struct htp_op_desc {
+    uint32_t opcode;                    // GGML/HTP Op
+    uint32_t flags;                     // Op flags
+    int32_t  params[HTP_OP_MAX_PARAMS]; // Params for the op, e.g. epsilon of RMS norm
+    uint16_t src[HTP_OP_MAX_INPUTS];    // Input tensors indices
+    uint16_t dst;                       // Output tensor index
 
-    worker_pool_context_t * wpool;      // worker pool
-    uint32_t                n_threads;  // num threads
+    // the rest is filled in-place by the NPU
+    uint32_t prof_usecs;                // Number of usec per request
+    uint32_t prof_cycles;               // Number of cycles per request
+    uint32_t prof_pkts;                 // Number of instruction packets per request
+    uint32_t unused;
+};
 
-    uint32_t flags;
+struct htp_opbatch_req {
+    uint32_t n_bufs;      // Number of buffers
+    uint32_t n_tensors;   // Number of tensors
+    uint32_t n_ops;       // Number of ops
+    uint32_t flags;       // unused
+    // struct htp_buf_desc  bufs[];    -- dspqueue buf 0
+    // struct htp_tensor    tensors[]; -- dspqueue buf 0
+    // struct htp_op_desc   ops[];     -- dspqueue buf 0
 };
 
-int op_matmul(struct htp_ops_context * octx);
-int op_matmul_id(struct htp_ops_context * octx);
-int op_binary(struct htp_ops_context * octx);
-int op_unary(struct htp_ops_context * octx);
-int op_sum_rows(struct htp_ops_context * octx);
-int op_activations(struct htp_ops_context * octx);
-int op_softmax(struct htp_ops_context * octx);
-int op_add_id(struct htp_ops_context * octx);
-int op_rope(struct htp_ops_context * octx);
-int op_flash_attn_ext(struct htp_ops_context * octx);
-int op_set_rows(struct htp_ops_context * octx);
-int op_get_rows(struct htp_ops_context * octx);
-int op_cpy(struct htp_ops_context * octx);
-int op_repeat(struct htp_ops_context * octx);
-int op_argsort(struct htp_ops_context * octx);
-int op_ssm_conv(struct htp_ops_context * octx);
+struct htp_opbatch_rsp {
+    uint32_t status;     // HTP_STATUS_...
+    // struct htp_op_req ops[];     -- dspqueue buf 0
+};
 
 #endif /* HTP_OPS_H */
diff --git a/ggml/src/ggml-hexagon/htp/htp_iface.idl b/ggml/src/ggml-hexagon/htp/htp_iface.idl
index 9ebd937e46df936ce325a164bc1ee0dc49e38344..3eb5d5a6912c7aef0a4073fc0a4224e752078b05 100644
--- a/ggml/src/ggml-hexagon/htp/htp_iface.idl
+++ b/ggml/src/ggml-hexagon/htp/htp_iface.idl
@@ -7,8 +7,10 @@
 #include "remote.idl"
 
 interface htp_iface : remote_handle64 {
-    AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx);
+    AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 use_hmx);
     AEEResult stop();
+    AEEResult mmap(in uint32 fd, in uint32 size, in uint32 pinned);
+    AEEResult munmap(in uint32 fd);
     AEEResult enable_etm();
     AEEResult disable_etm();
 };
diff --git a/ggml/src/ggml-hexagon/htp/hvx-base.h b/ggml/src/ggml-hexagon/htp/hvx-base.h
index 3e6a8579b1f0b26a191fd4d712ca86779e3ee4c1..ed6026e762a0b38b7ea18707f7bac5e85b9e3552 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-base.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-base.h
@@ -9,6 +9,9 @@
 #include "hex-utils.h"
 #include "hvx-types.h"
 
+#define hvx_vmem(A)   *((HVX_Vector *)(A))
+#define hvx_vmemu(A)  *((HVX_UVector *)(A))
+
 static inline void hvx_vec_store_u(void * restrict dst, uint32_t n, HVX_Vector v) {
     // Rotate as needed.
     v = Q6_V_vlalign_VVR(v, v, (size_t) dst);
@@ -112,11 +115,20 @@ static inline HVX_VectorPred hvx_vec_is_nan_f16(HVX_Vector v) {
     return Q6_Q_and_QQ(p_exp, p_frac);
 }
 
-static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) {
-    const HVX_Vector zero = Q6_V_vsplat_R(0);
+static inline HVX_Vector hvx_vec_f32_to_f16_shuff(HVX_Vector v0, HVX_Vector v1) {
+#if __HVX_ARCH__ >= 81
+    HVX_Vector q0 = Q6_Vqf32_equals_Vsf(v0);
+    HVX_Vector q1 = Q6_Vqf32_equals_Vsf(v1);
+#else
+    const HVX_Vector zero = Q6_V_vzero();
     HVX_Vector q0 = Q6_Vqf32_vadd_VsfVsf(v0, zero);
     HVX_Vector q1 = Q6_Vqf32_vadd_VsfVsf(v1, zero);
-    HVX_Vector  v = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(q1, q0)));
+#endif
+    return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(q1, q0));
+}
+
+static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) {
+    HVX_Vector v = Q6_Vh_vdeal_Vh(hvx_vec_f32_to_f16_shuff(v0, v1));
 
 #if __HVX_ARCH__ < 79
     // replace NaNs with -INF, older arches produce NaNs for (-INF + 0.0)
@@ -128,6 +140,30 @@ static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) {
     return v;
 }
 
+#if __HVX_ARCH__ >= 79
+static inline HVX_VectorPair hvx_vec_f16_to_f32_shuff(HVX_Vector v) {
+    const HVX_Vector one = hvx_vec_splat_f16(1.0);
+    HVX_VectorPair p = Q6_Wsf_vmpy_VhfVhf(v, one);
+    return Q6_W_vcombine_VV(Q6_V_hi_W(p), Q6_V_lo_W(p));
+}
+static inline HVX_VectorPair hvx_vec_f16_to_f32(HVX_Vector v) {
+    const HVX_Vector one = hvx_vec_splat_f16(1.0);
+    HVX_VectorPair p = Q6_Wsf_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(v), one);
+    return Q6_W_vcombine_VV(Q6_V_hi_W(p), Q6_V_lo_W(p));
+}
+#else
+static inline HVX_VectorPair hvx_vec_f16_to_f32_shuff(HVX_Vector v) {
+    const HVX_Vector one = hvx_vec_splat_f16(1.0);
+    HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(v, one);
+    return Q6_W_vcombine_VV(Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)), Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p)));
+}
+static inline HVX_VectorPair hvx_vec_f16_to_f32(HVX_Vector v) {
+    const HVX_Vector one = hvx_vec_splat_f16(1.0);
+    HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(v), one);
+    return Q6_W_vcombine_VV(Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)), Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p)));
+}
+#endif
+
 /* Q6_Vsf_equals_Vw is only available on v73+.*/
 #if __HVX_ARCH__ < 73
 static inline HVX_Vector hvx_vec_i32_to_qf32(HVX_Vector const in)
diff --git a/ggml/src/ggml-hexagon/htp/hvx-div.h b/ggml/src/ggml-hexagon/htp/hvx-div.h
index 05cefea039f6fd91e05265c2b77525ed4a43732b..53ee304e749bd743510f60e3e84cff3d808b9e9f 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-div.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-div.h
@@ -16,8 +16,10 @@
 
 #if __HVX_ARCH__ < 79
 #define HVX_OP_MUL_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
+#define HVX_OP_MUL_F16(a, b) Q6_Vhf_equals_Wqf32(Q6_Wqf32_vmpy_VhfVhf(a, b))
 #else
 #define HVX_OP_MUL_F32(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
+#define HVX_OP_MUL_F16(a, b) Q6_Vhf_vmpy_VhfVhf(a, b)
 #endif
 
 // Compute div by scaler in f32. Requires first by expanding fp32 to fp16 and converting the result back to fp32.
@@ -43,46 +45,67 @@ static inline HVX_Vector hvx_div_mul_f16_const_using_f32(HVX_Vector vec1_hf, HVX
     return res;
 }
 
-#define hvx_div_scaler_f16_loop_body(dst_type, src_type, vec_store)                     \
-    do {                                                                                \
-        dst_type * restrict vdst = (dst_type *) dst;                                    \
-        src_type * restrict vsrc = (src_type *) src;                                    \
-        HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00);                                     \
-                                                                                        \
-        const uint32_t nvec = n / VLEN_FP16;                                            \
-        const uint32_t nloe = n % VLEN_FP16;                                            \
-                                                                                        \
-        uint32_t i = 0;                                                                 \
-                                                                                        \
-        _Pragma("unroll(4)")                                                            \
-        for (; i < nvec; i++) {                                                         \
-            HVX_Vector res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one); \
-            vdst[i] = res;                                                              \
-        }                                                                               \
-        if (nloe) {                                                                     \
-            HVX_Vector res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one); \
-            vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res);                      \
-        }                                                                               \
+// Variant for <v79: Use pre-computed f16 reciprocal constant
+static inline HVX_Vector hvx_div_mul_f16_const_using_f16(HVX_Vector vec1_hf, HVX_Vector const_inv_hf) {
+    // Multiply by pre-computed f16 reciprocal constant
+    return HVX_OP_MUL_F16(vec1_hf, const_inv_hf);
+}
+
+#define hvx_div_scaler_f16_loop_body(dst_type, src_type, vec_store)                                    \
+    do {                                                                                               \
+        dst_type * restrict vdst = (dst_type *) dst;                                                   \
+        src_type * restrict vsrc = (src_type *) src;                                                   \
+                                                                                                       \
+        HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00);                                                    \
+                                                                                                       \
+        const uint32_t nvec = n / VLEN_FP16;                                                           \
+        const uint32_t nloe = n % VLEN_FP16;                                                           \
+                                                                                                       \
+        uint32_t i = 0;                                                                                \
+                                                                                                       \
+        _Pragma("unroll(4)")                                                                           \
+        for (; i < nvec; i++) {                                                                        \
+            HVX_Vector res;                                                                            \
+            if (__HVX_ARCH__ < 79) {                                                                   \
+                res = hvx_div_mul_f16_const_using_f16(vsrc[i], val_vec_f16);                           \
+            } else {                                                                                   \
+                res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one);                   \
+            }                                                                                          \
+            vdst[i] = res;                                                                             \
+        }                                                                                              \
+        if (nloe) {                                                                                    \
+            HVX_Vector res;                                                                            \
+            if (__HVX_ARCH__ < 79) {                                                                   \
+                res = hvx_div_mul_f16_const_using_f16(vsrc[i], val_vec_f16);                           \
+            } else {                                                                                   \
+                res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one);                   \
+            }                                                                                          \
+            vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res);                                     \
+        }                                                                                              \
     } while(0)
 
 static inline void hvx_div_scalar_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
     const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
     assert((uintptr_t) dst % 128 == 0);
     assert((uintptr_t) src % 128 == 0);
     hvx_div_scaler_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
 }
 static inline void hvx_div_scalar_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
     const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
     assert((uintptr_t) dst % 128 == 0);
     hvx_div_scaler_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
 }
 static inline void hvx_div_scalar_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
     const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
     assert((uintptr_t) src % 128 == 0);
     hvx_div_scaler_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
 }
 static inline void hvx_div_scalar_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
     const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    const HVX_Vector val_vec_f16 = hvx_vec_splat_f16(1.0f / val);
     hvx_div_scaler_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
 }
 
@@ -128,13 +151,25 @@ static inline HVX_Vector hvx_vec_div_f16_using_f32(HVX_Vector vec1, HVX_Vector v
     return recip;
 }
 
+// Hybrid approach: f16 reciprocal for <v79, f32 precision for >=v79
+static inline HVX_Vector hvx_vec_hybrid_div_f16(HVX_Vector vec1, HVX_Vector vec2, HVX_Vector f32_nan_inf_mask, HVX_Vector f16_nan_inf_mask, HVX_Vector vec_hf_one_1_0) {
+#if __HVX_ARCH__ < 79
+    // For older architectures, use f16 reciprocal to avoid NaN/-inf issues
+    HVX_Vector vec2_inv = hvx_vec_inverse_f16_guard(vec2, f16_nan_inf_mask);
+    return HVX_OP_MUL_F16(vec1, vec2_inv);
+#else
+    return hvx_vec_div_f16_using_f32(vec1, vec2, f32_nan_inf_mask, vec_hf_one_1_0);
+#endif
+}
+
 #define hvx_div_f16_loop_body(dst_type, src0_type, src1_type, vec_store)                  \
     do {                                                                                  \
         dst_type * restrict vdst = (dst_type *) dst;                                      \
         src0_type * restrict vsrc0 = (src0_type *) src0;                                  \
         src1_type * restrict vsrc1 = (src1_type *) src1;                                  \
                                                                                           \
-        const HVX_Vector nan_inf_mask = Q6_V_vsplat_R(0x7f800000);                        \
+        const HVX_Vector f32_nan_inf_mask = Q6_V_vsplat_R(0x7f800000);                    \
+        const HVX_Vector f16_nan_inf_mask = Q6_Vh_vsplat_R(0x7c00);                       \
         const HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00);                                 \
                                                                                           \
         const uint32_t nvec = n / VLEN_FP16;                                              \
@@ -144,11 +179,15 @@ static inline HVX_Vector hvx_vec_div_f16_using_f32(HVX_Vector vec1, HVX_Vector v
                                                                                           \
         _Pragma("unroll(4)")                                                              \
         for (; i < nvec; i++) {                                                           \
-            HVX_Vector res = hvx_vec_div_f16_using_f32(vsrc0[i], vsrc1[i], nan_inf_mask, hf_one); \
+            HVX_Vector res = hvx_vec_hybrid_div_f16(vsrc0[i], vsrc1[i],                   \
+                                                    f32_nan_inf_mask, f16_nan_inf_mask,   \
+                                                    hf_one);                              \
             vdst[i] = res;                                                                \
         }                                                                                 \
         if (nloe) {                                                                       \
-            HVX_Vector res = hvx_vec_div_f16_using_f32(vsrc0[i], vsrc1[i], nan_inf_mask, hf_one); \
+            HVX_Vector res = hvx_vec_hybrid_div_f16(vsrc0[i], vsrc1[i],                   \
+                                                    f32_nan_inf_mask, f16_nan_inf_mask,   \
+                                                    hf_one);                              \
             vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res);                        \
         }                                                                                 \
     } while(0)
@@ -247,5 +286,6 @@ HVX_DIV_DISPATCHER(hvx_div_f32)
 HVX_DIV_DISPATCHER(hvx_div_f16)
 
 #undef HVX_OP_MUL_F32
+#undef HVX_OP_MUL_F16
 
 #endif // HVX_DIV_H
diff --git a/ggml/src/ggml-hexagon/htp/hvx-utils.h b/ggml/src/ggml-hexagon/htp/hvx-utils.h
index 083437987946dedcded18b07540db43bda6dd7a1..a518ad37331dee7040ea60497bbd9f1b7caf40e4 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-utils.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-utils.h
@@ -15,12 +15,4 @@
 #include "hvx-div.h"
 #include "hvx-base.h"
 
-#ifndef GATHER_TYPE
-#    if defined(__hexagon__)
-#        define GATHER_TYPE(_a) (intptr_t) _a
-#    else
-#        define GATHER_TYPE(_a) (HVX_Vector *) _a
-#    endif
-#endif
-
 #endif /* HVX_UTILS_H */
diff --git a/ggml/src/ggml-hexagon/htp/main.c b/ggml/src/ggml-hexagon/htp/main.c
index 2a3f9e562b70aa7a5226a28c0f54e53aeb5c4175..5091623a65308749c3c13127eab410d20206f0d8 100644
--- a/ggml/src/ggml-hexagon/htp/main.c
+++ b/ggml/src/ggml-hexagon/htp/main.c
@@ -1,5 +1,7 @@
 #pragma clang diagnostic ignored "-Wgnu-zero-variadic-macro-arguments"
 #pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
 
 #include <HAP_farf.h>
 #include <HAP_perf.h>
@@ -12,16 +14,18 @@
 #include <HAP_ps.h>
 #include <qurt.h>
 #include <qurt_thread.h>
+#include <qurt_memory.h>
 #include <remote.h>
 #include <string.h>
 
-#include "hex-dma.h"
 #include "hex-utils.h"
+#include "hex-dma.h"
+#include "hmx-queue.h"
 
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "worker-pool.h"
 
@@ -34,7 +38,7 @@ AEEResult htp_iface_open(const char * uri, remote_handle64 * handle) {
         return AEE_ENOMEMORY;
     }
 
-    // Use the context structure as a handle
+    // Use the context structure as the handle
     *handle = (remote_handle64) ctx;
 
     // Enable FARF logs
@@ -111,6 +115,20 @@ AEEResult htp_iface_close(remote_handle64 handle) {
         return AEE_EITEMBUSY;
     }
 
+    // release the mmaps (if any)
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        if (ctx->mmap[i].size) {
+#if __HVX_ARCH__ > 73
+            HAP_munmap2((void *) ctx->mmap[i].base, ctx->mmap[i].size);
+#else
+            HAP_munmap((void *) ctx->mmap[i].base, ctx->mmap[i].size);
+#endif
+            ctx->mmap[i].size = 0;
+            ctx->mmap[i].base = NULL;
+            ctx->mmap[i].fd   = -1;
+        }
+    }
+
     free(ctx);
     return AEE_SUCCESS;
 }
@@ -139,63 +157,105 @@ AEEResult htp_iface_disable_etm(remote_handle64 handle) {
     return err;
 }
 
-static int vtcm_acquire(struct htp_context * ctx) {
-    int err;
-    if (!ctx->vtcm_valid) {
-        // Temporarily bump thread priority to make sure it's higher than other sessions.
-        // This way the resource manager will notify the other thread to release VTCM.
-        // Note that we need to reaquire VTCM at normal priority for this to work next time.
-        qurt_thread_set_priority(qurt_thread_get_id(), ctx->thread_prio - 10);
-        err = HAP_compute_res_acquire_cached(ctx->vtcm_rctx, 1000000);
-        if (err != 0) {
-            FARF(ERROR, "Failed to acquire VTCM: 0x%08x", (unsigned)err);
-            abort();
+AEEResult htp_iface_mmap(remote_handle64 handle, int fd, uint32_t size, uint32_t pinned) {
+    struct htp_context * ctx = (struct htp_context *) handle;
+    if (!ctx) {
+        return AEE_EBADPARM;
+    }
+
+    // See if we already have this mapping
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (m->fd == fd) {
+            m->pinned = pinned;
+            return AEE_SUCCESS;
         }
-        HAP_compute_res_release_cached(ctx->vtcm_rctx);
-        qurt_thread_set_priority(qurt_thread_get_id(), ctx->thread_prio);
+    }
 
-        err = HAP_compute_res_acquire_cached(ctx->vtcm_rctx, 1000000);
-        if (err != 0) {
-            FARF(ERROR, "Failed to acquire VTCM: 0x%08x", (unsigned)err);
-            abort();
+    // Add new mapping
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (!m->size) {
+            FARF(HIGH, "mmap : fd %u size %u pinned %u", fd, size, pinned);
+#if __HVX_ARCH__ > 73
+            void *va = HAP_mmap2(NULL, size, HAP_PROT_READ | HAP_PROT_WRITE, 0, fd, 0);
+#else
+            if (size > HTP_MMAP_MAX_VMEM) { // HAP_mmap has a size limit of 2GB
+                FARF(ERROR, "mmap failed : size %u exceeds 2GB limit for HAP_mmap", (uint32_t) size);
+                abort(); // can't do much else at this point
+            }
+
+            void *va = HAP_mmap(NULL, size, HAP_PROT_READ | HAP_PROT_WRITE, 0, fd, 0);
+#endif
+            if (va == (void*)-1) {
+                FARF(ERROR, "mmap failed : va %p fd %u size %u", va, fd, (uint32_t) size);
+                return AEE_EFAILED;
+            }
+
+            m->base   = (uint64_t) va;
+            m->fd     = fd;
+            m->size   = size;
+            m->pinned = pinned;
+
+            return AEE_SUCCESS;
         }
-        ctx->vtcm_valid = true;
     }
 
-    ctx->vtcm_inuse = true;
-    return 0;
+    return AEE_ENOMEMORY;
 }
 
-static int vtcm_release(struct htp_context * ctx) {
-    ctx->vtcm_inuse = false;
+AEEResult htp_iface_munmap(remote_handle64 handle, int fd) {
+    struct htp_context * ctx = (struct htp_context *) handle;
+    if (!ctx) {
+        return AEE_EBADPARM;
+    }
 
-    if (ctx->vtcm_valid && ctx->vtcm_needs_release) {
-        ctx->vtcm_valid         = false;
-        ctx->vtcm_needs_release = false;
-        HAP_compute_res_release_cached(ctx->vtcm_rctx);
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (fd < 0 || m->fd == fd) {
+            FARF(HIGH, "unmmap : base %p fd %u size %u", (void*) m->base, m->fd, (uint32_t) m->size);
+#if __HVX_ARCH__ > 73
+            HAP_munmap2((void *) m->base, m->size);
+#else
+            HAP_munmap((void *) m->base, m->size);
+#endif
+            m->size   = 0;
+            m->base   = NULL;
+            m->fd     = -1;
+            m->pinned = 0;
+        }
     }
 
-    return 0;
+    return AEE_SUCCESS;
 }
 
-static int vtcm_release_callback(unsigned int rctx, void * state) {
-    struct htp_context * ctx = (struct htp_context *) state;
-
-    if (!ctx || ctx->vtcm_rctx != rctx) {
-        return AEE_EBADPARM;
-    }
+static void vtcm_acquire(struct htp_context * ctx) {
+    if (!ctx->vtcm_valid) {
+        int err = HAP_compute_res_acquire_cached(ctx->vtcm_rctx, 1000000u);
+        if (err != 0) {
+            FARF(ERROR, "ggml-hex: failed to acquire VTCM: 0x%08x", (unsigned)err);
+            abort();
+        }
 
-    // If VTCM is not inuse (not processing Ops) release it right here
-    // otherwise we'll release it once we're done with the current Op.
+        ctx->vtcm_needs_release = false;
+        ctx->vtcm_valid = true;
 
-    if (ctx->vtcm_inuse) {
-        ctx->vtcm_needs_release = true;
-        return 0;
+        // Drop the priority to make sure we get the release callback from other GGML-HTP and QNN-HTP sessions
+        HAP_compute_res_update_priority(ctx->vtcm_rctx, ctx->thread_prio + 10);
     }
+}
 
-    ctx->vtcm_valid = false;
-    HAP_compute_res_release_cached(ctx->vtcm_rctx);
+static void vtcm_release(struct htp_context * ctx) {
+    if (ctx->vtcm_valid) {
+        ctx->vtcm_valid         = false;
+        ctx->vtcm_needs_release = false;
+        HAP_compute_res_release_cached(ctx->vtcm_rctx);
+    }
+}
 
+static int vtcm_release_callback(unsigned int rctx, void * state) {
+    struct htp_context * ctx = (struct htp_context *) state;
+    ctx->vtcm_needs_release = true;
     return 0;
 }
 
@@ -207,7 +267,7 @@ static int vtcm_alloc(struct htp_context * ctx) {
     HAP_compute_res_attr_init(&attr);
     HAP_compute_res_attr_set_serialize(&attr, 0);
     HAP_compute_res_attr_set_cache_mode(&attr, 1);
-    HAP_compute_res_attr_set_vtcm_param_v2(&attr, vtcm_size, 0, vtcm_size);
+    HAP_compute_res_attr_set_vtcm_param_v2(&attr, vtcm_size, vtcm_size, vtcm_size); // single page
     HAP_compute_res_attr_set_release_callback(&attr, vtcm_release_callback, (void *) ctx);
     HAP_compute_res_attr_set_hmx_param(&attr, 1);
 
@@ -229,7 +289,6 @@ static int vtcm_alloc(struct htp_context * ctx) {
     ctx->vtcm_size          = vtcm_size;
     ctx->vtcm_rctx          = rctx;
     ctx->vtcm_valid         = false;
-    ctx->vtcm_inuse         = false;
     ctx->vtcm_needs_release = false;
 
     return 0;
@@ -246,7 +305,7 @@ static void vtcm_free(struct htp_context * ctx) {
 static void htp_packet_callback(dspqueue_t queue, int error, void * context);
 static void htp_error_callback(dspqueue_t queue, int error, void * context);
 
-AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx) {
+AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx, uint32 use_hmx) {
     struct htp_context * ctx = (struct htp_context *) handle;
 
     if (!ctx) {
@@ -280,6 +339,19 @@ AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_que
         return AEE_ENOMEMORY;
     }
 
+#ifdef HTP_HAS_HMX
+    ctx->hmx_enabled = use_hmx;
+    ctx->hmx_queue   = NULL;
+    if (use_hmx) {
+        ctx->hmx_queue = hmx_queue_create(16, ctx->vtcm_rctx);
+        if (!ctx->hmx_queue) {
+            FARF(ERROR, "hmx-queue-create failed");
+            ctx->hmx_enabled = false;
+        }
+    }
+    FARF(HIGH, "HMX %s (use_hmx=%d)", ctx->hmx_enabled ? "enabled" : "disabled", use_hmx);
+#endif
+
     qurt_sysenv_max_hthreads_t hw_threads;
     qurt_sysenv_get_max_hw_threads(&hw_threads);
     uint32_t hw_nhvx = (qurt_hvx_get_units() >> 8) & 0xFF;
@@ -297,7 +369,7 @@ AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_que
     ctx->n_threads = n_hvx;
     for (int i = 0; i < ctx->n_threads; i++) {
         // see discussion https://github.com/ggml-org/llama.cpp/pull/18151#discussion_r2632388541
-        ctx->dma[i] = dma_queue_create(64);
+        ctx->dma[i] = dma_queue_create(128);
     }
 
     // init worker pool
@@ -341,6 +413,14 @@ AEEResult htp_iface_stop(remote_handle64 handle) {
         dma_queue_delete(ctx->dma[i]);
     }
 
+#ifdef HTP_HAS_HMX
+    if (ctx->hmx_queue) {
+        hmx_queue_delete(ctx->hmx_queue);
+        ctx->hmx_queue = NULL;
+    }
+    ctx->hmx_enabled = false;
+#endif
+
     vtcm_free(ctx);
 
     return AEE_SUCCESS;
@@ -369,876 +449,333 @@ static inline void profile_stop(struct profile_data * d) {
     d->pkts   = hex_get_pktcnt() - d->pkts;
 }
 
-static int send_htp_rsp(struct htp_context *     c,
-                        uint32_t                 op,
-                        uint32_t                 status,
-                        struct dspqueue_buffer * bufs,
-                        size_t                   n_bufs,
-                        struct profile_data *    prof) {
-    // Prep response struct
-    struct htp_general_rsp rsp;
-    rsp.op          = op;
-    rsp.status      = status;
-    rsp.prof_usecs  = prof->usecs;
-    rsp.prof_cycles = prof->cycles;
-    rsp.prof_pkts   = prof->pkts;
-
-    int err = dspqueue_write(c->queue,
-                             0,                       // Flags
-                             n_bufs,
-                             bufs,                    // Buffer references
-                             sizeof(rsp),
-                             (const uint8_t *) &rsp,  // Message
-                             DSPQUEUE_TIMEOUT_NONE);
+static int execute_op(struct htp_ops_context * octx) {
+    switch (octx->op) {
+        case HTP_OP_MUL_MAT:
+            return op_matmul(octx);
 
-    if (err != 0) {
-        FARF(ERROR, "dspqueue_write failed: 0x%08x", (unsigned) err);
-    }
+        case HTP_OP_MUL_MAT_ID:
+            return op_matmul_id(octx);
 
-    return err;
-}
+        case HTP_OP_MUL:
+        case HTP_OP_ADD:
+        case HTP_OP_SUB:
+        case HTP_OP_DIV:
+        case HTP_OP_ADD_ID:
+            return op_binary(octx);
 
-static void proc_matmul_req(struct htp_context *     ctx,
-                            struct htp_general_req * req,
-                            struct dspqueue_buffer * bufs,
-                            size_t                   n_bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_matmul(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_RMS_NORM:
+        case HTP_OP_SCALE:
+        case HTP_OP_SQR:
+        case HTP_OP_SQRT:
+        case HTP_OP_UNARY_SOFTPLUS:
+        case HTP_OP_UNARY_SIGMOID:
+        case HTP_OP_UNARY_NEG:
+        case HTP_OP_UNARY_EXP:
+            return op_unary(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_UNARY_SILU:
+        case HTP_OP_UNARY_GELU:
+        case HTP_OP_GLU_SWIGLU:
+        case HTP_OP_GLU_SWIGLU_OAI:
+        case HTP_OP_GLU_GEGLU:
+            return op_activations(octx);
 
-static void proc_argsort_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_argsort(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_SOFTMAX:
+            return op_softmax(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_ROPE:
+            return op_rope(octx);
 
-static void proc_cpy_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_cpy(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_FLASH_ATTN_EXT:
+            return op_flash_attn_ext(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_SET_ROWS:
+            return op_set_rows(octx);
 
-static void proc_repeat_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = op_repeat(&octx);
-
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_GET_ROWS:
+            return op_get_rows(octx);
 
-static void proc_get_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_get_rows(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_SUM_ROWS:
+            return op_sum_rows(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_CPY:
+            return op_cpy(octx);
 
-static void proc_matmul_id_req(struct htp_context *     ctx,
-                               struct htp_general_req * req,
-                               struct dspqueue_buffer * bufs,
-                               size_t                   n_bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[3].fd;
-    rsp_bufs[0].ptr    = bufs[3].ptr;
-    rsp_bufs[0].size   = bufs[3].size;
-    rsp_bufs[0].offset = bufs[3].offset;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.src2                   = req->src2;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.src2.data = (uint32_t) bufs[2].ptr;
-    octx.dst.data  = (uint32_t) bufs[3].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_matmul_id(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_REPEAT:
+            return op_repeat(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_ARGSORT:
+            return op_argsort(octx);
 
-static void proc_binary_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_binary(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_SSM_CONV:
+            return op_ssm_conv(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_CUMSUM:
+            return op_cumsum(octx);
+
+        case HTP_OP_INVALID:
+            break;
 
-static void proc_add_id_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[3].fd;
-    rsp_bufs[0].ptr    = bufs[3].ptr;
-    rsp_bufs[0].offset = bufs[3].offset;
-    rsp_bufs[0].size   = bufs[3].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.src2                   = req->src2;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.src2.data = (uint32_t) bufs[2].ptr;
-    octx.dst.data  = (uint32_t) bufs[3].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_binary(&octx);
-        vtcm_release(ctx);
+        // No default to catch missing cases
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    FARF(ERROR, "Unknown Op %u", octx->op);
+    return -1;
 }
 
-static void proc_unary_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_unary(&octx);
-        vtcm_release(ctx);
+static inline bool reuse_buf(struct htp_context *ctx, uint32_t *m_reuse, struct htp_buf_desc *b) {
+    b->base = NULL;
+
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = ctx->mmap + i;
+        if (m->size && m->fd == b->fd) {
+            b->base   = m->base;
+            *m_reuse |= (1 << i);
+            return true;
+        }
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    return false;
 }
 
-static void proc_sum_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_sum_rows(&octx);
-        vtcm_release(ctx);
+static inline void drop_mmap(struct htp_context *ctx, struct htp_mmap *m) {
+    if (m->size && !m->pinned) {
+        FARF(HIGH, "unmap : fd %u base %p size %u pinned %u", m->fd, (void*) m->base, (uint32_t) m->size, m->pinned);
+#if __HVX_ARCH__ > 73
+        HAP_munmap2((void *) m->base, m->size);
+#else
+        HAP_munmap((void *) m->base, m->size);
+#endif
+        m->size = 0;
+        m->base = 0;
+        m->fd   = -1;
     }
-
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
 }
 
-static void proc_ssm_conv_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    // We've written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup OP context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_ssm_conv(&octx);
-        vtcm_release(ctx);
+static inline void mmap_buf(struct htp_context *ctx, struct htp_buf_desc *b) {
+    if (b->base) return; // already mapped
+
+    // find unused mapping
+    for (uint32_t i=0; i < HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (!m->size) {
+#if __HVX_ARCH__ > 73
+            void *va = HAP_mmap2(NULL, b->size, HAP_PROT_READ | HAP_PROT_WRITE, 0, b->fd, 0);
+#else
+            if (b->size > HTP_MMAP_MAX_VMEM) { // HAP_mmap has a size limit of 2GB
+                FARF(ERROR, "mmap failed : size %u exceeds 2GB limit for HAP_mmap", (uint32_t) b->size);
+                abort(); // can't do much else at this point
+            }
+
+            void *va = HAP_mmap(NULL, b->size, HAP_PROT_READ | HAP_PROT_WRITE, 0, b->fd, 0);
+#endif
+            if (va == (void*)-1) {
+                FARF(ERROR, "mmap failed : va %p fd %u size %u", va, b->fd, (uint32_t) b->size);
+                abort(); // can't do much else at this point
+            }
+
+            m->base   = b->base = (uint64_t) va;
+            m->fd     = b->fd;
+            m->size   = b->size;
+            m->pinned = 0;
+
+            FARF(HIGH, "mmap : fd %u base %p size %u pinned %u", m->fd, (void*) m->base, (uint32_t) m->size, m->pinned);
+            return;
+        }
     }
-
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
 }
 
-static void proc_activations_req(struct htp_context *     ctx,
-                                 struct htp_general_req * req,
-                                 struct dspqueue_buffer * bufs,
-                                 uint32_t                 n_bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    int write_idx = (n_bufs == 3) ? 2 : 1;
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[write_idx].fd;
-    rsp_bufs[0].ptr    = bufs[write_idx].ptr;
-    rsp_bufs[0].offset = bufs[write_idx].offset;
-    rsp_bufs[0].size   = bufs[write_idx].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                          DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    if (3 == n_bufs) {
-        octx.src1 = req->src1;
-    }
-    octx.dst   = req->dst;
-    octx.flags = req->flags;
-    octx.op    = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    if (3 == n_bufs) {
-        octx.src1.data = (uint32_t) bufs[1].ptr;
-        octx.dst.data  = (uint32_t) bufs[2].ptr;
-    } else {
-        octx.dst.data = (uint32_t) bufs[1].ptr;
-    }
-    octx.n_threads = ctx->n_threads;
+static void prep_op_bufs(struct htp_context *ctx, struct htp_buf_desc *bufs, uint32_t n_bufs) {
+    uint32_t m_reuse = 0; // mmap reuse mask (index from ctx->mmap array)
+    uint32_t b_reuse = 0; // buf reuse count
 
-    struct profile_data prof;
-    profile_start(&prof);
+    size_t   m_vmem  = 0; // mapped vmem
+    size_t   e_vmem  = 0; // extra  vmem
 
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        if (octx.op == HTP_OP_SOFTMAX) {
-            rsp_status = op_softmax(&octx);
-        } else {
-            rsp_status = op_activations(&octx);
-        }
-        vtcm_release(ctx);
+    // See what we can reuse
+    for (uint32_t i=0; i < n_bufs; i++) {
+        struct htp_buf_desc *b = bufs + i;
+        if (reuse_buf(ctx, &m_reuse, b)) { b_reuse++; } else { e_vmem += b->size; }
+        FARF(HIGH, "prep-buf #%u : pass0 fd %u base %p size %u flags 0x%x", i, b->fd, (void*) b->base, (uint32_t) b->size, b->flags);
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+    if (b_reuse == n_bufs) return; // all bufs reuse existing mappings
 
-static void proc_rope_req(struct htp_context *     ctx,
-                          struct htp_general_req * req,
-                          struct dspqueue_buffer * bufs,
-                          uint32_t                 n_bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    int write_idx = n_bufs - 1;
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[write_idx].fd;
-    rsp_bufs[0].ptr    = bufs[write_idx].ptr;
-    rsp_bufs[0].offset = bufs[write_idx].offset;
-    rsp_bufs[0].size   = bufs[write_idx].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                          DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    if (4 == n_bufs) {
-        octx.src2 = req->src2;
-    }
-    octx.dst   = req->dst;
-    octx.flags = req->flags;
-    octx.op    = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    if (4 == n_bufs) {
-        octx.src2.data = (uint32_t) bufs[2].ptr;
-        octx.dst.data  = (uint32_t) bufs[3].ptr;
-    } else {
-        octx.dst.data = (uint32_t) bufs[2].ptr;
-    }
-    octx.n_threads = ctx->n_threads;
+    // See how much vmem we have mmaped right now
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) { m_vmem += ctx->mmap[i].size; }
 
-    struct profile_data prof;
-    profile_start(&prof);
+    FARF(HIGH, "prep-bufs : pass1 mmap-vmem %zu extra-vmem %zu n-bufs %u b-reuse %u", m_vmem, e_vmem, n_bufs, b_reuse);
 
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_rope(&octx);
-        vtcm_release(ctx);
+    if ((m_vmem + e_vmem) > HTP_OP_MAX_VMEM) {
+        // Drop unused mappings
+        for (uint32_t i=0; i < HTP_MAX_MMAPS; i++) {
+            bool used = m_reuse & (1<<i);
+            if (!used) { drop_mmap(ctx, ctx->mmap + i); }
+        }
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    // Create missing mappings
+    for (uint32_t i=0; i < n_bufs; i++) {
+        struct htp_buf_desc *b = bufs + i;
+        mmap_buf(ctx, b);
+        FARF(HIGH, "prep-buf #%u : pass1 fd %u base %p size %u flags 0x%x", i, b->fd, (void*) b->base, (uint32_t) b->size, b->flags);
+    }
 }
 
-static void proc_set_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_set_rows(&octx);
-        vtcm_release(ctx);
-    }
+static void prep_tensor(struct htp_context *ctx, struct htp_buf_desc *bufs, uint32_t idx, struct htp_tensor *t) {
+    uint32_t offset = t->data;
+    uint32_t size   = t->size;
+    uint32_t bi     = t->bi;
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    t->data = bufs[bi].base + offset; // update data to the actual pointer
+
+    FARF(HIGH, "prep-tensor #%u: bi %u offset %u size %u data %p : %u:%u:%u:%u", idx, t->bi, offset, t->size, (void*) t->data,
+        t->ne[0], t->ne[1], t->ne[3], t->ne[3]);
 }
 
-static void proc_flash_attn_ext_req(struct htp_context *     ctx,
-                                    struct htp_general_req * req,
-                                    struct dspqueue_buffer * bufs,
-                                    uint32_t                 n_bufs) {
-    // Setup Op context
-    struct htp_ops_context octx;
-    memset(&octx, 0, sizeof(octx));
-
-    octx.ctx   = ctx;
-    octx.n_threads = ctx->n_threads;
-
-    octx.src0  = req->src0;
-    octx.src1  = req->src1;
-    octx.src2  = req->src2;
-    octx.src3  = req->src3;
-    octx.src4  = req->src4;
-    octx.dst   = req->dst;
-    octx.flags = req->flags;
-    octx.op    = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.src2.data = (uint32_t) bufs[2].ptr;
-
-    int last_buf = 3;
-
-    if (octx.src3.ne[0]) {
-        octx.src3.data = (uint32_t) bufs[last_buf++].ptr; // mask is valid
+static void prep_tensors(struct htp_context *ctx, struct htp_buf_desc *bufs, struct htp_tensor *tens, uint32_t n_tens) {
+    for (uint32_t i=0; i < n_tens; i++) {
+        prep_tensor(ctx, bufs, i, tens + i);
     }
+}
 
-    if (octx.src4.ne[0]) {
-        octx.src4.data = (uint32_t) bufs[last_buf++].ptr; // sinks is valid
-    }
+static void proc_op_req(struct htp_ops_context * octx, struct htp_tensor *tens, uint32_t idx, struct htp_op_desc * op) {
+    memcpy(octx->op_params, op->params, sizeof(octx->op_params));
+    octx->flags = op->flags;
+    octx->op    = op->opcode;
+
+    FARF(HIGH, "proc-op #%u: opcode %u flags 0x%x", idx, octx->op, octx->flags);
 
-    octx.dst.data = (uint32_t) bufs[last_buf].ptr;
+    // Prep input tensors
+    for (uint32_t i=0; i<HTP_OP_MAX_INPUTS; i++) {
+        struct htp_tensor *src = op->src[i] == 0xffff ? NULL : tens + op->src[i];
 
-    struct profile_data prof;
-    profile_start(&prof);
+        octx->src[i] = src;
+        if (!src) continue;
 
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_flash_attn_ext(&octx);
-        vtcm_release(ctx);
+        if (!(src->flags & HTP_TENSOR_FLUSHED) && (src->flags & HTP_TENSOR_COMPUTE)) {
+            // flush compute buffers on input
+            hex_l2flush((void *) src->data, src->size);
+        }
+
+        FARF(HIGH, "prep-src #%u: data %p size %u : %u:%u:%u:%u", op->src[i], (void*) src->data, src->size,
+            src->ne[0], src->ne[1], src->ne[3], src->ne[3]);
     }
 
-    profile_stop(&prof);
+    // Prep output tensor
+    struct htp_tensor *dst = tens + op->dst;
+
+    octx->dst = dst;
+
+    FARF(HIGH, "prep-dst #%u: data %p size %u : %u:%u:%u:%u", op->dst, (void*) dst->data, dst->size,
+        dst->ne[0], dst->ne[1], dst->ne[3], dst->ne[3]);
 
-    struct dspqueue_buffer rsp_buf = bufs[last_buf];
-    rsp_buf.flags = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                     DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU
+    (void) execute_op(octx);
 
-    send_htp_rsp(ctx, req->op, rsp_status, &bufs[last_buf], 1, &prof);
+    // flush buffers on output
+    hex_l2flush((void *) dst->data, dst->size);
+    dst->flags |= HTP_TENSOR_FLUSHED;
+
+    FARF(HIGH, "post-dst #%u: data %p size %u : %u:%u:%u:%u", op->dst, (void*) dst->data, dst->size,
+        dst->ne[0], dst->ne[1], dst->ne[3], dst->ne[3]);
 }
 
+#define DSPQUEUE_POLL_TIMEOUT_USEC 100
+#define DSPQUEUE_POLL_COUNT        100
+
 static void htp_packet_callback(dspqueue_t queue, int error, void * context) {
     struct htp_context * ctx = (struct htp_context *) context;
 
-    // Repeatedly read packets from the queue until it's empty. We don't
-    // necessarily get a separate callback for each packet, and new packets
-    // may arrive while we're processing the previous one. This ensures we
-    // keep the DSP busy as much as possible and avoid waiting for the CPU.
+    int err;
+
+    uint32_t poll_count = DSPQUEUE_POLL_COUNT;
 
-    while (1) {
-        struct htp_general_req req;
-        uint32_t               req_size;
+    vtcm_acquire(ctx);
 
-        struct dspqueue_buffer bufs[HTP_MAX_PACKET_BUFFERS];
-        uint32_t               n_bufs;
-        uint32_t               flags;
+    while (!ctx->vtcm_needs_release) {
+        struct htp_opbatch_req req;
+        uint32_t r_size = sizeof(req);
 
-        // Read packet from queue
-        int err = dspqueue_read_noblock(queue, &flags,
-                                        HTP_MAX_PACKET_BUFFERS,  // Maximum number of buffer references
-                                        &n_bufs,                 // Number of buffer references
-                                        bufs,                    // Buffer references
-                                        sizeof(req),             // Max message length
-                                        &req_size,               // Message length
-                                        (uint8_t *) &req);       // Message
+        struct dspqueue_buffer dbuf;
+        uint32_t n_dbufs = 1;
+        uint32_t flags   = 0;
 
+        err = dspqueue_read_noblock(queue, &flags, n_dbufs, &n_dbufs, &dbuf, r_size, &r_size, (uint8_t *) &req);
         if (err == AEE_EWOULDBLOCK) {
-            // Consumed all packets available for now
-            return;
+            if (--poll_count) {
+                qurt_sleep(DSPQUEUE_POLL_TIMEOUT_USEC);
+                continue;
+            }
+            break;
         }
 
         if (err != 0) {
             FARF(ERROR, "dspqueue_read_noblock failed: 0x%08x", (unsigned) err);
-            return;
+            break;
         }
 
-        if (req_size != sizeof(req)) {
-            FARF(ERROR, "Invalid request size");
+        if (r_size < sizeof(req) || n_dbufs != 1) {
+            FARF(ERROR, "invalid request : size %u n-dbufs %u", r_size, n_dbufs);
             continue;
         }
 
-        if (req.flags & HTP_OPFLAGS_EARLY_WAKEUP) {
-            // Host wants early notification
-            dspqueue_write_early_wakeup_noblock(ctx->queue, 10, 0);
+        const uint32_t n_bufs = req.n_bufs;
+        const uint32_t n_tens = req.n_tensors;
+        const uint32_t n_ops  = req.n_ops;
+
+        const uint32_t b_size = sizeof(struct htp_buf_desc) * n_bufs;
+        const uint32_t t_size = sizeof(struct htp_tensor)   * n_tens;
+        const uint32_t o_size = sizeof(struct htp_op_desc)  * n_ops;
+
+        if (dbuf.size < b_size + t_size + o_size) {
+            FARF(ERROR, "invalid opbatch memory block size %u", dbuf.size);
+            break;
+        }
+
+        // Reset poll count for valid requests
+        poll_count = DSPQUEUE_POLL_COUNT;
+
+        uint8_t * m_ptr = dbuf.ptr;
+        struct htp_buf_desc* bufs = (struct htp_buf_desc*) m_ptr; m_ptr += b_size;
+        struct htp_tensor*   tens = (struct htp_tensor*)   m_ptr; m_ptr += t_size;
+        struct htp_op_desc*   ops = (struct htp_op_desc*)  m_ptr;
+
+        FARF(HIGH, "processing opbatch: n-bufs %u n-tensors %u n-ops %u : m-size %u b-size %u t-size %u o-size %u",
+                n_bufs, n_tens, n_ops, dbuf.size, b_size, t_size, o_size);
+
+        prep_op_bufs(ctx, bufs, n_bufs);
+        prep_tensors(ctx, bufs, tens, n_tens);
+
+        struct htp_ops_context *octx = &ctx->octx;
+        memset(octx, 0, sizeof(*octx));
+        octx->n_threads = ctx->n_threads;
+        octx->ctx       = ctx;
+
+        for (uint32_t i=0; i < n_ops; i++) {
+            struct profile_data prof;
+            profile_start(&prof);
+
+            proc_op_req(octx, tens, i, &ops[i]);
+
+            profile_stop(&prof);
+            ops[i].prof_usecs  = prof.usecs;
+            ops[i].prof_cycles = prof.cycles;
+            ops[i].prof_pkts   = prof.pkts;
         }
 
-        // Process packet based on its message type
-        switch (req.op) {
-            case HTP_OP_MUL_MAT:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad matmul-req buffer list");
-                    continue;
-                }
-                proc_matmul_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_MUL_MAT_ID:
-                if (n_bufs != 4) {
-                    FARF(ERROR, "Bad matmul-id-req buffer list");
-                    continue;
-                }
-                proc_matmul_id_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_MUL:
-            case HTP_OP_ADD:
-            case HTP_OP_SUB:
-            case HTP_OP_DIV:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad binary-req buffer list");
-                    continue;
-                }
-                proc_binary_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_RMS_NORM:
-            case HTP_OP_SCALE:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad unary-req buffer list");
-                    continue;
-                }
-
-                proc_unary_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_SQR:
-            case HTP_OP_SQRT:
-            case HTP_OP_UNARY_NEG:
-            case HTP_OP_UNARY_EXP:
-            case HTP_OP_UNARY_SIGMOID:
-            case HTP_OP_UNARY_SOFTPLUS:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad unary-req buffer list");
-                    continue;
-                }
-
-                proc_unary_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_SUM_ROWS:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad unary-req buffer list");
-                    continue;
-                }
-
-                proc_sum_rows_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_UNARY_SILU:
-            case HTP_OP_UNARY_GELU:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad act-req buffer list");
-                    continue;
-                }
-                proc_activations_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_GLU_SWIGLU:
-            case HTP_OP_GLU_SWIGLU_OAI:
-            case HTP_OP_SOFTMAX:
-            case HTP_OP_GLU_GEGLU:
-                if ((n_bufs != 2) && (n_bufs != 3)) {
-                    FARF(ERROR, "Bad act-req buffer list");
-                    continue;
-                }
-                proc_activations_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_ADD_ID:
-                if (n_bufs != 4) {
-                    FARF(ERROR, "Bad add-id-req buffer list");
-                    continue;
-                }
-                proc_add_id_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_ROPE:
-                if ((n_bufs != 3) && (n_bufs != 4)) {
-                    FARF(ERROR, "Bad rope-req buffer list");
-                    continue;
-                }
-                proc_rope_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_FLASH_ATTN_EXT:
-                if (!(n_bufs >= 4 && n_bufs <= 6)) {
-                    FARF(ERROR, "Bad flash-attn-ext-req buffer list");
-                    continue;
-                }
-                proc_flash_attn_ext_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_SET_ROWS:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad set-rows-req buffer list");
-                    continue;
-                }
-                proc_set_rows_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_GET_ROWS:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad get-rows-req buffer list");
-                    continue;
-                }
-                proc_get_rows_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_CPY:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad cpy-req buffer list");
-                    continue;
-                }
-                proc_cpy_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_REPEAT:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad repeat-req buffer list");
-                    continue;
-                }
-                proc_repeat_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_ARGSORT:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad argsort-req buffer list");
-                    continue;
-                }
-                proc_argsort_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_SSM_CONV:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad ssm-conv-req buffer list");
-                    continue;
-                }
-                proc_ssm_conv_req(ctx, &req, bufs);
-                break;
-
-            default:
-                FARF(ERROR, "Unknown Op %u", req.op);
-                break;
+        // dspqueue_write_early_wakeup_noblock(ctx->queue, 10, 0);
+
+        struct htp_opbatch_rsp rsp;
+        rsp.status = HTP_STATUS_OK; // FIXME
+
+        dbuf.flags = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT;
+        err = dspqueue_write(queue, 0, 1, &dbuf, sizeof(rsp), (const uint8_t *) &rsp, DSPQUEUE_TIMEOUT_NONE);
+        if (err != 0) {
+            FARF(ERROR, "dspqueue_write failed: 0x%08x", (unsigned) err);
+            break;
         }
     }
+
+    vtcm_release(ctx);
 }
diff --git a/ggml/src/ggml-hexagon/htp/matmul-ops.c b/ggml/src/ggml-hexagon/htp/matmul-ops.c
index 73aaba79ebf32c61cbf1289986c8c5d5f115af54..bac06693d8181b195fe72a92b28131e6246ebb75 100644
--- a/ggml/src/ggml-hexagon/htp/matmul-ops.c
+++ b/ggml/src/ggml-hexagon/htp/matmul-ops.c
@@ -16,8 +16,9 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
 #include "htp-ops.h"
+#include "htp-ops.h"
+#include "hmx-ops.h"
 
 #define MM_SPAD_SRC0_NROWS 16
 #define MM_SPAD_SRC1_NROWS 16
@@ -60,6 +61,16 @@ static const uint8_t __attribute__((aligned(128))) expand_x32_e8m0[128] = {
     0x00, 0x00, 0x09, 0x08, 0x00, 0x00, 0x22, 0x20, 0x24, 0x20, 0x21, 0x22, 0x20, 0x20,
 };
 
+// IQ4_NL dequantization LUT: maps 4-bit index (0-15) to int8 kvalue
+// kvalues: -127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113
+static const uint8_t __attribute__((aligned(VLEN))) kvalues_iq4nl_lut[] = {
+    0x81, 0, 0x98, 0, 0xAD, 0, 0xBF, 0, 0xCF, 0, 0xDD, 0, 0xEA, 0, 0xF6, 0, 0x01, 0, 0x0D, 0, 0x19, 0, 0x26, 0,
+    0x35, 0, 0x45, 0, 0x59, 0, 0x71, 0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0,
+    0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0,
+    0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0,
+    0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0, 0,    0,
+};
+
 static const uint8_t __attribute__((aligned(VLEN))) kvalues_mxfp4_lut[] = {
     0,    0, 1,    0, 2,    0, 3, 0, 4, 0, 6, 0, 8, 0, 12, 0, 0, 0, 0xff, 0, 0xfe, 0, 0xfd, 0, 0xfc, 0,
     0xfa, 0, 0xf8, 0, 0xf4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 0,    0, 0,    0, 0,    0, 0,    0,
@@ -68,6 +79,73 @@ static const uint8_t __attribute__((aligned(VLEN))) kvalues_mxfp4_lut[] = {
     0,    0, 0,    0, 0,    0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 0,    0, 0,    0, 0,    0,
 };
 
+static inline HVX_Vector_x8 hvx_vec_load_iq4nlx4x8_full(const uint8_t * restrict ptr) {
+    const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr;
+
+    HVX_Vector v0_1 = vptr[0];  // first 256 elements (128 bytes)
+    HVX_Vector v2_3 = vptr[1];  // ...
+    HVX_Vector v4_5 = vptr[2];  // ...
+    HVX_Vector v6_7 = vptr[3];  // ...
+
+    const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
+    const HVX_Vector lut     = *(const HVX_Vector *) kvalues_iq4nl_lut;
+
+    HVX_Vector v0 = Q6_V_vand_VV(v0_1, mask_h4);  // & 0x0F
+    HVX_Vector v1 = Q6_Vub_vlsr_VubR(v0_1, 4);    // >> 4
+    HVX_Vector v2 = Q6_V_vand_VV(v2_3, mask_h4);  // & 0x0F
+    HVX_Vector v3 = Q6_Vub_vlsr_VubR(v2_3, 4);    // >> 4
+    HVX_Vector v4 = Q6_V_vand_VV(v4_5, mask_h4);  // & 0x0F
+    HVX_Vector v5 = Q6_Vub_vlsr_VubR(v4_5, 4);    // >> 4
+    HVX_Vector v6 = Q6_V_vand_VV(v6_7, mask_h4);  // & 0x0F
+    HVX_Vector v7 = Q6_Vub_vlsr_VubR(v6_7, 4);    // >> 4
+
+    v0 = Q6_Vb_vlut32_VbVbI(v0, lut, 0);
+    v1 = Q6_Vb_vlut32_VbVbI(v1, lut, 0);
+    v2 = Q6_Vb_vlut32_VbVbI(v2, lut, 0);
+    v3 = Q6_Vb_vlut32_VbVbI(v3, lut, 0);
+    v4 = Q6_Vb_vlut32_VbVbI(v4, lut, 0);
+    v5 = Q6_Vb_vlut32_VbVbI(v5, lut, 0);
+    v6 = Q6_Vb_vlut32_VbVbI(v6, lut, 0);
+    v7 = Q6_Vb_vlut32_VbVbI(v7, lut, 0);
+
+    HVX_Vector_x8 r = { v0, v1, v2, v3, v4, v5, v6, v7 };
+    return r;
+}
+
+static inline HVX_Vector_x8 hvx_vec_load_iq4nlx4x8_partial(const uint8_t * restrict ptr, uint32_t n) {
+    const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr;
+
+    const uint32_t qk   = QK_Q4_0x4x2;  // 256
+    const uint32_t nb   = n / qk;
+    const uint32_t nloe = n % qk;
+
+    const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
+    const HVX_Vector lut     = *(const HVX_Vector *) kvalues_iq4nl_lut;
+
+    HVX_Vector_x8 r;
+    uint32_t      i = 0;
+
+    #pragma unroll(2)
+    for (i = 0; i < nb; i++) {
+        HVX_Vector v   = vptr[i];                   // 256 elements (128 bytes)
+        HVX_Vector v0  = Q6_V_vand_VV(v, mask_h4);  // & 0x0F : first  128 elements
+        HVX_Vector v1  = Q6_Vub_vlsr_VubR(v, 4);    // >> 4   : second 128 elements
+        r.v[i * 2 + 0] = Q6_Vb_vlut32_VbVbI(v0, lut, 0);
+        r.v[i * 2 + 1] = Q6_Vb_vlut32_VbVbI(v1, lut, 0);
+    }
+
+    if (nloe) {
+        HVX_Vector     v      = vptr[i];                      // 256 elements (128 bytes)
+        HVX_Vector     v0     = Q6_V_vand_VV(v, mask_h4);     // & 0x0F : even 128 elements
+        HVX_Vector     v1     = Q6_Vub_vlsr_VubR(v, 4);       // >> 4   : odd  128 elements
+        HVX_VectorPair v0_1_p = Q6_W_vshuff_VVR(v1, v0, -1);  // zip even:odd:...
+        r.v[i * 2 + 0]        = Q6_Vb_vlut32_VbVbI(Q6_V_lo_W(v0_1_p), lut, 0);
+        r.v[i * 2 + 1]        = Q6_Vb_vlut32_VbVbI(Q6_V_hi_W(v0_1_p), lut, 0);
+    }
+
+    return r;
+}
+
 // q4x4x2 and q8x4x2 are the flat q4/8_0 formats where all quants are stored first followed by all scales
 
 static inline size_t q8x4x2_row_size(uint32_t ne) {
@@ -921,6 +999,293 @@ static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float *
     hvx_vec_store_u(&s1[0], 8, r0_r1_c1_sum);  // row0,col1 row1,col1
 }
 
+// ======== IQ4_NL x Q8_0 vec_dot kernels ========
+// Same structure as Q4_0 vec_dot but uses IQ4_NL LUT-based load (4-bit index -> int8 kvalue).
+// Scale format is identical to Q4_0 (fp16 scales).
+
+static void vec_dot_iq4nlx4x2_q8x4x2_1x1(const int n,
+                                         float * restrict s0,
+                                         const void * restrict vx0,
+                                         const void * restrict vy0) {
+    assert(n % 32 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
+
+    const uint32_t qk = QK_Q4_0x4x2 * 4;
+
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk / 2;                                      // int4
+    const uint32_t x_qrow_size = n / 2;                                       // int4 (not padded)
+
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
+
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0 + 0);            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0 + x_qrow_size);  // then scales
+
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);               // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);     // then scales
+
+    HVX_Vector r0_sum = Q6_V_vzero();
+
+    const uint32_t nb   = n / qk;
+    const uint32_t nloe = n % qk;
+
+    uint32_t i = 0;
+    for (; i < nb; i++) {
+        HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full(y_q + i * y_qblk_size);
+        HVX_Vector_x8 r0_q = hvx_vec_load_iq4nlx4x8_full(r0_x_q + i * x_qblk_size);
+
+        HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q));
+
+        HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size));
+        HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d)));
+
+        HVX_Vector r0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_ia, r0_dd);
+
+        r0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_fa, r0_sum));
+    }
+
+    if (nloe) {
+        HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial(y_q + i * y_qblk_size, nloe);
+        HVX_Vector_x8 r0_q = hvx_vec_load_iq4nlx4x8_partial(r0_x_q + i * x_qblk_size, nloe);
+
+        HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe));
+
+        HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size));
+        HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d)));
+
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8);
+        r0_dd                = Q6_V_vand_QV(bmask, r0_dd);
+        r0_ia                = Q6_V_vand_QV(bmask, r0_ia);
+
+        HVX_Vector r0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_ia, r0_dd);
+
+        r0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_fa, r0_sum));
+    }
+
+    r0_sum = hvx_vec_reduce_sum_f32(r0_sum);
+
+    hvx_vec_store_u(s0, 4, r0_sum);
+}
+
+static void vec_dot_iq4nlx4x2_q8x4x2_2x1(const int n,
+                                         float * restrict s0,
+                                         const void * restrict vx0,
+                                         const void * restrict vx1,
+                                         const void * restrict vy0) {
+    assert(n % 32 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
+
+    const uint32_t qk = QK_Q4_0x4x2 * 4;
+
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk / 2;                                      // int4
+    const uint32_t x_qrow_size = n / 2;                                       // int4 (not padded)
+
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
+
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
+
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);               // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);     // then scales
+
+    HVX_Vector r0_sum = Q6_V_vzero();
+    HVX_Vector r1_sum = Q6_V_vzero();
+
+    const uint32_t nb   = n / qk;
+    const uint32_t nloe = n % qk;
+
+    uint32_t i = 0;
+    for (; i < nb; i++) {
+        HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full(y_q + i * y_qblk_size);
+        HVX_Vector_x8 r0_q = hvx_vec_load_iq4nlx4x8_full(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q = hvx_vec_load_iq4nlx4x8_full(r1_x_q + i * x_qblk_size);
+
+        HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q));
+        HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy_q));
+
+        HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size));
+        HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d)));
+        HVX_Vector r1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy_d)));
+
+        HVX_Vector r0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_ia, r0_dd);
+        HVX_Vector r1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_ia, r1_dd);
+
+        r0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_fa, r0_sum));
+        r1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_fa, r1_sum));
+    }
+
+    if (nloe) {
+        HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial(y_q + i * y_qblk_size, nloe);
+        HVX_Vector_x8 r0_q = hvx_vec_load_iq4nlx4x8_partial(r0_x_q + i * x_qblk_size, nloe);
+        HVX_Vector_x8 r1_q = hvx_vec_load_iq4nlx4x8_partial(r1_x_q + i * x_qblk_size, nloe);
+
+        HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe));
+        HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy_q, nloe));
+
+        HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size));
+        HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d)));
+        HVX_Vector r1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy_d)));
+
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8);
+        r0_dd                = Q6_V_vand_QV(bmask, r0_dd);
+        r1_dd                = Q6_V_vand_QV(bmask, r1_dd);
+        r0_ia                = Q6_V_vand_QV(bmask, r0_ia);
+        r1_ia                = Q6_V_vand_QV(bmask, r1_ia);
+
+        HVX_Vector r0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_ia, r0_dd);
+        HVX_Vector r1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_ia, r1_dd);
+
+        r0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_fa, r0_sum));
+        r1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_fa, r1_sum));
+    }
+
+    HVX_Vector rsum = hvx_vec_reduce_sum_f32x2(r0_sum, r1_sum);
+    hvx_vec_store_u(s0, 8, rsum);
+}
+
+static void vec_dot_iq4nlx4x2_q8x4x2_2x2(const int n,
+                                         float * restrict s0,
+                                         float * restrict s1,
+                                         const void * restrict vx0,
+                                         const void * restrict vx1,
+                                         const void * restrict vy0,
+                                         const void * restrict vy1) {
+    assert(n % 32 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
+    assert((unsigned long) vy1 % 128 == 0);
+
+    const uint32_t qk = QK_Q4_0x4x2 * 4;
+
+    const uint32_t x_dblk_size = 8 * 4 * 2;  // 32x __fp16
+    const uint32_t x_qblk_size = qk / 2;     // int4
+    const uint32_t x_qrow_size = n / 2;      // int4 (not padded)
+
+    const uint32_t y_dblk_size = 8 * 4 * 2;  // 32x __fp16
+    const uint32_t y_qblk_size = qk;         // int8
+    const uint32_t y_qrow_size = n;          // int8 (not padded)
+
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;
+
+    const uint8_t * restrict y0_q = ((const uint8_t *) vy0) + 0;
+    const uint8_t * restrict y0_d = ((const uint8_t *) vy0) + y_qrow_size;
+    const uint8_t * restrict y1_q = ((const uint8_t *) vy1) + 0;
+    const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size;
+
+    HVX_Vector r0_c0_sum = Q6_V_vzero();
+    HVX_Vector r0_c1_sum = Q6_V_vzero();
+    HVX_Vector r1_c0_sum = Q6_V_vzero();
+    HVX_Vector r1_c1_sum = Q6_V_vzero();
+
+    const uint32_t nb   = n / qk;
+    const uint32_t nloe = n % qk;
+
+    uint32_t i = 0;
+    for (; i < nb; i++) {
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_full(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_full(y1_q + i * y_qblk_size);
+        HVX_Vector_x8 r0_q  = hvx_vec_load_iq4nlx4x8_full(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q  = hvx_vec_load_iq4nlx4x8_full(r1_x_q + i * x_qblk_size);
+
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy1_q));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy0_q));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy1_q));
+
+        HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size));
+        HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size));
+        HVX_Vector r0_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy0_d)));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy1_d)));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d)));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d)));
+
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    if (nloe) {
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_partial(y0_q + i * y_qblk_size, nloe);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_partial(y1_q + i * y_qblk_size, nloe);
+        HVX_Vector_x8 r0_q  = hvx_vec_load_iq4nlx4x8_partial(r0_x_q + i * x_qblk_size, nloe);
+        HVX_Vector_x8 r1_q  = hvx_vec_load_iq4nlx4x8_partial(r1_x_q + i * x_qblk_size, nloe);
+
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy0_q, nloe));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy1_q, nloe));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy0_q, nloe));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy1_q, nloe));
+
+        HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size));
+        HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size));
+        HVX_Vector r0_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy0_d)));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy1_d)));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d)));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d)));
+
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8);
+        r0_c0_dd             = Q6_V_vand_QV(bmask, r0_c0_dd);
+        r0_c1_dd             = Q6_V_vand_QV(bmask, r0_c1_dd);
+        r1_c0_dd             = Q6_V_vand_QV(bmask, r1_c0_dd);
+        r1_c1_dd             = Q6_V_vand_QV(bmask, r1_c1_dd);
+        r0_c0_ia             = Q6_V_vand_QV(bmask, r0_c0_ia);
+        r0_c1_ia             = Q6_V_vand_QV(bmask, r0_c1_ia);
+        r1_c0_ia             = Q6_V_vand_QV(bmask, r1_c0_ia);
+        r1_c1_ia             = Q6_V_vand_QV(bmask, r1_c1_ia);
+
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    HVX_Vector r0_r1_c0_sum = hvx_vec_reduce_sum_f32x2(r0_c0_sum, r1_c0_sum);
+    HVX_Vector r0_r1_c1_sum = hvx_vec_reduce_sum_f32x2(r0_c1_sum, r1_c1_sum);
+
+    hvx_vec_store_u(&s0[0], 8, r0_r1_c0_sum);
+    hvx_vec_store_u(&s1[0], 8, r0_r1_c1_sum);
+}
+
 static void vec_dot_mxfp4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const void * restrict vx0, const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
     assert((unsigned long) vx0 % 128 == 0);
@@ -1533,11 +1898,11 @@ static void vec_dot_f16_f32_uu_1x1(const int n, float * restrict s, const void *
     hvx_vec_store_u(&s[0], 4, rsum);
 }
 
-#define htp_matmul_tensors_preamble    \
-    struct htp_tensor * restrict src0    = &octx->src0;      \
-    struct htp_tensor * restrict src1    = &octx->src1;      \
-    struct htp_tensor * restrict src2    = &octx->src2;      \
-    struct htp_tensor * restrict dst     = &octx->dst;       \
+#define htp_matmul_tensors_preamble                          \
+    const struct htp_tensor * restrict src0 = octx->src[0];  \
+    const struct htp_tensor * restrict src1 = octx->src[1];  \
+    const struct htp_tensor * restrict src2 = octx->src[2];  \
+    const struct htp_tensor * restrict  dst = octx->dst;     \
     struct htp_spad * restrict src0_spad = &octx->src0_spad; \
     struct htp_spad * restrict src1_spad = &octx->src1_spad; \
     struct htp_spad * restrict dst_spad  = &octx->dst_spad;  \
@@ -1859,8 +2224,8 @@ struct mmid_row_mapping {
 static void matmul_id(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
-    struct htp_tensor * restrict     ids = &octx->src2;
-    struct htp_spad * restrict src2_spad = &octx->src2_spad;
+    const struct htp_tensor * restrict ids = octx->src[2];
+    struct htp_spad * restrict   src2_spad = &octx->src2_spad;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -1978,8 +2343,8 @@ static void matmul_id(unsigned int nth, unsigned int ith, void * data) {
 static void matvec_id(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
-    struct htp_tensor * restrict     ids = &octx->src2;
-    struct htp_spad * restrict src2_spad = &octx->src2_spad;
+    const struct htp_tensor * restrict ids = octx->src[2];
+    struct htp_spad * restrict   src2_spad = &octx->src2_spad;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -2248,7 +2613,7 @@ static void quantize_f32_q8x4x2(unsigned int nth, unsigned int ith, void * data)
     struct htp_matmul_context * mmctx = data;
     struct htp_ops_context * octx = mmctx->octx;
 
-    const struct htp_tensor * src = &octx->src1;
+    const struct htp_tensor * src = octx->src[1];
     uint8_t * restrict dst = octx->src1_spad.data;
     struct htp_spad * spad = &octx->src0_spad;
     uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
@@ -2295,7 +2660,7 @@ static void quantize_f32_f16(unsigned int nth, unsigned int ith, void * data) {
     struct htp_matmul_context * mmctx = data;
     struct htp_ops_context * octx = mmctx->octx;
 
-    const struct htp_tensor * src = &octx->src1;
+    const struct htp_tensor * src = octx->src[1];
     uint8_t * restrict dst = octx->src1_spad.data;
     uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
     uint32_t dst_stride = octx->src1_spad.stride;
@@ -2337,7 +2702,7 @@ static void quantize_f16_f16(unsigned int nth, unsigned int ith, void * data) {
     struct htp_matmul_context * mmctx = data;
     struct htp_ops_context * octx = mmctx->octx;
 
-    const struct htp_tensor * src = &octx->src1;
+    const struct htp_tensor * src = octx->src[1];
     uint8_t * restrict dst = octx->src1_spad.data;
     uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
     uint32_t dst_stride = octx->src1_spad.stride;
@@ -2393,6 +2758,12 @@ static int htp_mminit_vec_dot(struct htp_matmul_context * mmctx, enum htp_data_t
             mmctx->vec_dot_2x1 = vec_dot_q8x4x2_q8x4x2_2x1;
             mmctx->vec_dot_2x2 = vec_dot_q8x4x2_q8x4x2_2x2;
             return 0;
+        case HTP_TYPE_IQ4_NL:
+            mmctx->type        = "iq4nlx4x2-f32";
+            mmctx->vec_dot_1x1 = vec_dot_iq4nlx4x2_q8x4x2_1x1;
+            mmctx->vec_dot_2x1 = vec_dot_iq4nlx4x2_q8x4x2_2x1;
+            mmctx->vec_dot_2x2 = vec_dot_iq4nlx4x2_q8x4x2_2x2;
+            return 0;
         case HTP_TYPE_MXFP4:
             mmctx->type        = "mxfp4x4x2-f32";
             mmctx->vec_dot_1x1 = vec_dot_mxfp4x4x2_q8x4x2_1x1;
@@ -2430,7 +2801,7 @@ static void htp_mminit_spad(struct htp_ops_context * octx,
     octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
 }
 
-int op_matmul(struct htp_ops_context * octx) {
+static int op_matmul_hvx(struct htp_ops_context * octx) {
     htp_matmul_tensors_preamble;
 
     struct htp_matmul_context mmctx_struct = {0};
@@ -2454,7 +2825,7 @@ int op_matmul(struct htp_ops_context * octx) {
     worker_callback_t quant_job_func;
     worker_callback_t matmul_job_func = src1_nrows > 1 ? matmul_2d : matvec_2d;
 
-    bool need_quant = !(octx->flags & HTP_OPFLAGS_SKIP_QUANTIZE);
+    bool need_quant = true;
 
     if (src0->type == HTP_TYPE_F16) {
         // Try optimized f16-f16 path first (src1 in VTCM)
@@ -2468,7 +2839,7 @@ int op_matmul(struct htp_ops_context * octx) {
         // Default matmul implementation does not support multi-batch src0 (N-vs-N broadcasting).
         // It only supports 1-vs-N broadcasting (src0 is 2D) or standard 2D matmul.
         const bool is_batched  = (ne02 > 1) || (ne03 > 1);
-        const bool is_permuted = htp_is_permuted(&octx->src0) || htp_is_permuted(&octx->src1);
+        const bool is_permuted = htp_is_permuted(octx->src[0]) || htp_is_permuted(octx->src[1]);
 
         if (!is_batched && !is_permuted && f16_total_size <= octx->ctx->vtcm_size) {
             // Optimized path
@@ -2545,27 +2916,172 @@ int op_matmul(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    // Place src1 spad first. We use it for dyn.quant and may reuse between ops
+    octx->src1_spad.data = octx->ctx->vtcm_base;
+    octx->src0_spad.data = octx->src1_spad.data + octx->src1_spad.size;
+    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size;
+
+    octx->src1_spad.src  = (src1 == octx->src1_spad.src) ? src1 : NULL;
+    octx->src0_spad.src  = NULL;
+    octx->dst_spad.src   = NULL;
 
     octx->src0_spad.stride = src0_row_size_padded;
     octx->src1_spad.stride = src1_row_size;
 
-    if (need_quant) {
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)
+        return HTP_STATUS_OK;
+
+    if (need_quant && !octx->src1_spad.src) {
         const uint32_t n_quant_jobs  = MIN(src1_nrows, octx->n_threads);
         mmctx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
         worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, mmctx, n_quant_jobs);
+        octx->src1_spad.src = src1;
     }
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        const uint32_t n_matmul_jobs = octx->n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, matmul_job_func, mmctx, n_matmul_jobs);
-    }
+    const uint32_t n_matmul_jobs = octx->n_threads;
+    worker_pool_run_func(octx->ctx->worker_pool, matmul_job_func, mmctx, n_matmul_jobs);
 
     return HTP_STATUS_OK;
 }
 
+int op_matmul(struct htp_ops_context * octx) {
+    htp_matmul_tensors_preamble;
+
+#ifndef HTP_HAS_HMX
+    return op_matmul_hvx(octx);
+#else
+    if (!octx->ctx->hmx_enabled) {
+        return op_matmul_hvx(octx);
+    }
+
+    // HMX weight tile requires N to be 32-aligned.
+    if (src0->ne[1] % 32 != 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    // HMX supports F16, Q4_0, Q8_0, IQ4_NL, MXFP4 weights.
+    // Other types fall back to HVX.
+    uint32_t wtype = src0->type;
+    if (wtype != HTP_TYPE_F16 && wtype != HTP_TYPE_Q4_0 && wtype != HTP_TYPE_Q8_0 && wtype != HTP_TYPE_IQ4_NL && wtype != HTP_TYPE_MXFP4) {
+        return op_matmul_hvx(octx);
+    }
+
+    // Quantised HMX path requires K aligned to 256 (x4x2 super-block).
+    // F16 HMX path requires K aligned to 32 (tile width).
+    if (wtype != HTP_TYPE_F16 && src0->ne[0] % 256 != 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    if (wtype == HTP_TYPE_F16 && src0->ne[0] % 32 != 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    const bool is_batched = (src0->ne[2] * src0->ne[3] > 1 || src1->ne[2] * src1->ne[3] > 1);
+
+    // Quantised HMX kernels only handle flat 2D matmul (host already rejects
+    // batched quantised, but guard here too).  F16 batched matmul is handled
+    // by the dedicated wrapper in hmx-matmul-ops.c.
+    if (is_batched && src0->type != HTP_TYPE_F16) {
+        return op_matmul_hvx(octx);
+    }
+
+    // HMX assumes contiguous row-major layout.  Fall back for permuted
+    // tensors where strides are non-monotonic (e.g. transposed KV cache).
+    if (src0->nb[0] > src0->nb[1] || src1->nb[0] > src1->nb[1]) {
+        return op_matmul_hvx(octx);
+    }
+
+    // M alignment: when M > 32 but not 32-aligned, we split into
+    // HMX (first m_hmx = M & ~31 rows) + HVX (remaining m_tail rows).
+    // When M <= 32 and not 32-aligned, fall back entirely to HVX.
+    const int m_total = (int) src1->ne[1];
+    const int m_tail  = m_total % 32;
+    const int m_hmx   = m_total - m_tail;
+
+    if (m_hmx == 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    // Always re-quantize src1 since HMX kernel overwrites vtcm/spad,
+    // so any previously cached quantized data is invalid.
+    octx->src1_spad.src = NULL;
+
+    int k = (int) src0->ne[0];  // inner dimension
+    int n = (int) src0->ne[1];  // weight columns
+
+    // --- Phase 1: HMX on the first m_hmx (32-aligned) rows ---
+    int ret = -1;
+
+    // Row strides in elements. For compact tensors these equal k; for
+    // permuted attention views they can be larger, so pass the real stride.
+    const int act_stride = (int)(src1->nb[1] / sizeof(float));
+    const int wgt_stride = (int)(src0->nb[1] / sizeof(__fp16));
+
+    if (src0->type == HTP_TYPE_F16) {
+        if (is_batched) {
+            hmx_matmul_w16a32_batched_params_t batch_params = {
+                .dst             = (float *) dst->data,
+                .activation      = (float *) src1->data,
+                .permuted_weight = (const __fp16 *) src0->data,
+                .m               = m_hmx,
+                .k               = k,
+                .n               = n,
+                .act_stride      = act_stride,
+                .weight_stride   = wgt_stride,
+                .dst_stride      = (int) (dst->nb[1] / sizeof(float)),
+                .ne02            = ne02,
+                .ne03            = ne03,
+                .ne12            = ne12,
+                .ne13            = ne13,
+                .src0_nb2        = src0->nb[2],
+                .src0_nb3        = src0->nb[3],
+                .src1_nb2        = src1->nb[2],
+                .src1_nb3        = src1->nb[3],
+                .dst_nb2         = dst->nb[2],
+                .dst_nb3         = dst->nb[3],
+            };
+            ret = hmx_mat_mul_permuted_w16a32_batched(octx->ctx, &batch_params);
+        } else {
+            ret = hmx_mat_mul_permuted_w16a32(octx->ctx,
+                    (float*) dst->data, (float*) src1->data, (const __fp16 *) src0->data,
+                    m_hmx, k, n, act_stride, wgt_stride);
+        }
+    } else {
+        ret = hmx_mat_mul_permuted_qk_0_d16a32(octx->ctx,
+                    (float*) dst->data, (float*) src1->data, (const uint8_t *) src0->data,
+                    m_hmx, k, n, (int) src0->type);
+    }
+
+    if (ret != 0) {
+        FARF(HIGH, "HMX matmul failed (ret=%d), falling back to HVX", ret);
+        return op_matmul(octx);
+    }
+
+    // --- Phase 2: HVX on the remaining m_tail rows ---
+    if (m_tail > 0) {
+        // copy of src1 and dst
+        struct htp_tensor src1_tail = *src1;
+        struct htp_tensor dst_tail  = *dst;
+
+        src1_tail.ne[1] = m_tail; // only tail rows
+        dst_tail.ne[1]  = m_tail; // only tail rows
+
+        // Offset activation and dst pointers past the HMX-processed rows.
+        // Use nb[1] (row stride in bytes) to compute the byte offset.
+        src1_tail.data += (uint32_t) m_hmx * src1->nb[1];
+        dst_tail.data  += (uint32_t) m_hmx * dst->nb[1];
+
+        octx->src[1] = &src1_tail;
+        octx->dst    = &dst_tail;
+
+        FARF(HIGH, "hmx-matmul: HVX tail m_tail %d src1 %p dst %p", m_tail, (void *) src1_tail.data, (void *) dst_tail.data);
+        return op_matmul_hvx(octx);
+    }
+
+    return 0;
+#endif // HTP_HAS_HMX
+}
+
 int op_matmul_id(struct htp_ops_context * octx) {
     htp_matmul_tensors_preamble;
 
@@ -2573,7 +3089,7 @@ int op_matmul_id(struct htp_ops_context * octx) {
     struct htp_matmul_context * mmctx = &mmctx_struct;
     mmctx->octx = octx;
 
-    struct htp_tensor * restrict ids = &octx->src2;
+    const struct htp_tensor * restrict ids = octx->src[2];
 
     const size_t src0_row_size = nb01;
     const size_t dst_row_size  = nb1;
@@ -2626,11 +3142,17 @@ int op_matmul_id(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size;
+    // Place src1 spad first. We use it for dyn.quant and may reuse in subseq ops.
+    octx->src1_spad.data = octx->ctx->vtcm_base;
+    octx->src0_spad.data = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src2_spad.data = octx->src0_spad.data + octx->src0_spad.size;
     octx->dst_spad.data  = octx->src2_spad.data + octx->src2_spad.size;
 
+    octx->src1_spad.src  = (src1 == octx->src1_spad.src) ? src1 : NULL;
+    octx->src0_spad.src  = NULL;
+    octx->src2_spad.src  = NULL;
+    octx->dst_spad.src   = NULL;
+
     octx->src0_spad.stride = src0_row_size_padded;
     octx->src1_spad.stride = src1_row_size;
 
@@ -2654,17 +3176,18 @@ int op_matmul_id(struct htp_ops_context * octx) {
         }
     }
 
-    // Setup worker pool callbacks
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_QUANTIZE)) {
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)
+        return HTP_STATUS_OK;
+
+    if (octx->src1_spad.src != src1) {
         const uint32_t n_quant_jobs = MIN(src1_nrows, octx->n_threads);
         mmctx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
         worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, mmctx, n_quant_jobs);
+        octx->src1_spad.src = src1;
     }
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        const uint32_t n_matmul_jobs = octx->n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, matmul_id_job_func, mmctx, n_matmul_jobs);
-    }
+    const uint32_t n_matmul_jobs = octx->n_threads;
+    worker_pool_run_func(octx->ctx->worker_pool, matmul_id_job_func, mmctx, n_matmul_jobs);
 
     return HTP_STATUS_OK;
 }
diff --git a/ggml/src/ggml-hexagon/htp/repeat-ops.c b/ggml/src/ggml-hexagon/htp/repeat-ops.c
index 5db06c920e244798804033997b58e429c7ed47f0..a6f2f0ed5f3f3e733893bfab0e9400cd6f5b7c53 100644
--- a/ggml/src/ggml-hexagon/htp/repeat-ops.c
+++ b/ggml/src/ggml-hexagon/htp/repeat-ops.c
@@ -12,7 +12,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 struct htp_repeat_context {
@@ -32,8 +32,8 @@ struct htp_repeat_context {
 static void repeat_job_per_thread(unsigned int nth, unsigned int ith, void * data) {
     const struct htp_repeat_context * rctx = (const struct htp_repeat_context *) data;
     struct htp_ops_context * octx = rctx->octx;
-    const struct htp_tensor * src = &octx->src0;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * src = octx->src[0];
+    const struct htp_tensor * dst = octx->dst;
 
     const uint32_t ne00 = src->ne[0];
     const uint32_t ne01 = src->ne[1];
@@ -98,8 +98,8 @@ static void repeat_job_per_thread(unsigned int nth, unsigned int ith, void * dat
 }
 
 int op_repeat(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
 
     // Validate that dst dims are multiples of src dims
     if (dst->ne[0] % src0->ne[0] != 0 ||
diff --git a/ggml/src/ggml-hexagon/htp/rope-ops.c b/ggml/src/ggml-hexagon/htp/rope-ops.c
index be9469538f63a1ca2ef8302b2cc7b4c15d4638c9..1d8b0796bc9e45e5c1416ecac8c9d32eef6c79e7 100644
--- a/ggml/src/ggml-hexagon/htp/rope-ops.c
+++ b/ggml/src/ggml-hexagon/htp/rope-ops.c
@@ -15,7 +15,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 // Redefined the types GGML_ROPE_TYPE_NORMAL & GGML_ROPE_TYPE_NEOX as we can't include ggml.h
@@ -253,10 +253,10 @@ static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
     struct htp_rope_context * rctx = (struct htp_rope_context *) data;
     struct htp_ops_context * octx = rctx->octx;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * src2 = &octx->src2;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * src2 = octx->src[2];
+    const struct htp_tensor * dst  = octx->dst;
 
     htp_rope_preamble;
 
@@ -284,7 +284,7 @@ static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
 
     dma_queue * dma_queue = octx->ctx->dma[ith];
     const int32_t * pos = (const int32_t *) src1->data;
-    const float * freq_factors = src2->data ? (const float *) src2->data : NULL;
+    const float * freq_factors = src2 ? (const float *) src2->data : NULL;
 
     uint32_t ir = 0;
     uint32_t prev_i2 = (uint32_t) -1;
@@ -333,8 +333,8 @@ static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
                     //         (unsigned) HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - rctx->t_start));
                 }
 
-                // Skip DMA transactions from prev block (if any)
-                // No need to wait for these since the DMA is setup for in-order processing
+                // Skip output DMA transactions from prev block (if any)
+                // No need to wait for those here since we're explicitly waiting for the latest prefecthes below.
                 for (uint32_t d=0; d < dma_depth; d++) { dma_queue_pop_nowait(dma_queue); }
 
                 // Compute loop
@@ -384,10 +384,10 @@ done:
 static int execute_op_rope_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * src2 = &octx->src2;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * src2 = octx->src[2];
+    const struct htp_tensor * dst  = octx->dst;
 
     const char * op_type = "rope-f32";
 
@@ -424,19 +424,16 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    // Assign sizes
     octx->src0_spad.size_per_thread = src0_spad_per_thread;
     octx->dst_spad.size_per_thread  = dst_spad_per_thread;
     octx->src0_spad.size = n_threads * src0_spad_per_thread;
     octx->dst_spad.size  = n_threads * dst_spad_per_thread;
     octx->src1_spad.size = 0;
 
-    // Assign pointers
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = NULL;
-    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = NULL;                                        octx->src1_spad.src = NULL;
+    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src  = NULL;
 
-    // Fill context
     struct htp_rope_context rctx;
     memset(&rctx, 0, sizeof(struct htp_rope_context));
 
@@ -483,7 +480,7 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
 int op_rope(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_rope_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/set-rows-ops.c b/ggml/src/ggml-hexagon/htp/set-rows-ops.c
index 4b6967749f86f426b1869ac884348254d33c18a8..0def7b408bfeed28e1afe1e0486a2925571b6b12 100644
--- a/ggml/src/ggml-hexagon/htp/set-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/set-rows-ops.c
@@ -14,33 +14,37 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define set_rows_preamble \
-    const uint32_t ne00 = octx->src0.ne[0]; \
-    const uint32_t ne01 = octx->src0.ne[1]; \
-    const uint32_t ne02 = octx->src0.ne[2]; \
-    const uint32_t ne03 = octx->src0.ne[3]; \
-                                            \
-    const uint32_t ne10 = octx->src1.ne[0]; \
-    const uint32_t ne11 = octx->src1.ne[1]; \
-    const uint32_t ne12 = octx->src1.ne[2]; \
-                                            \
-    const uint32_t nb01 = octx->src0.nb[1]; \
-    const uint32_t nb02 = octx->src0.nb[2]; \
-    const uint32_t nb03 = octx->src0.nb[3]; \
-                                            \
-    const uint32_t nb10 = octx->src1.nb[0]; \
-    const uint32_t nb11 = octx->src1.nb[1]; \
-    const uint32_t nb12 = octx->src1.nb[2]; \
-                                            \
-    const uint32_t nb1 = octx->dst.nb[1];   \
-    const uint32_t nb2 = octx->dst.nb[2];   \
-    const uint32_t nb3 = octx->dst.nb[3];   \
-                                            \
-    const uint32_t ne1 = octx->dst.ne[1];   \
-                                            \
+#define set_rows_preamble                      \
+    const uint32_t ne00 = octx->src[0]->ne[0]; \
+    const uint32_t ne01 = octx->src[0]->ne[1]; \
+    const uint32_t ne02 = octx->src[0]->ne[2]; \
+    const uint32_t ne03 = octx->src[0]->ne[3]; \
+                                               \
+    const uint32_t ne10 = octx->src[1]->ne[0]; \
+    const uint32_t ne11 = octx->src[1]->ne[1]; \
+    const uint32_t ne12 = octx->src[1]->ne[2]; \
+    const uint32_t ne13 = octx->src[1]->ne[3]; \
+                                               \
+    const uint32_t nb01 = octx->src[0]->nb[1]; \
+    const uint32_t nb02 = octx->src[0]->nb[2]; \
+    const uint32_t nb03 = octx->src[0]->nb[3]; \
+                                               \
+    const uint32_t nb10 = octx->src[1]->nb[0]; \
+    const uint32_t nb11 = octx->src[1]->nb[1]; \
+    const uint32_t nb12 = octx->src[1]->nb[2]; \
+                                               \
+    const uint32_t nb1 = octx->dst->nb[1];     \
+    const uint32_t nb2 = octx->dst->nb[2];     \
+    const uint32_t nb3 = octx->dst->nb[3];     \
+                                               \
+    const uint32_t ne0 = octx->dst->ne[0];     \
+    const uint32_t ne1 = octx->dst->ne[1];     \
+    const uint32_t ne2 = octx->dst->ne[2];     \
+    const uint32_t ne3 = octx->dst->ne[3];     \
+                                               \
     const uint32_t nr  = ne01;
 
 struct htp_set_rows_context {
@@ -56,12 +60,14 @@ static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
 
     set_rows_preamble;
 
+    uint64_t qt = HAP_perf_get_qtimer_count();
+
     // parallelize by rows of src0
     const uint32_t dr  = srctx->src0_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
-    const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
+    const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
 
     for (uint32_t i03 = 0; i03 < ne03; ++i03) {
         for (uint32_t i02 = 0; i02 < ne02; ++i02) {
@@ -70,7 +76,7 @@ static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
                 const uint32_t i11 = fastmodulo(i02, ne11, &srctx->div_ne11);
                 const uint32_t i10 = i;
 
-                const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
+                const uintptr_t src1_addr = octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12;
 
                 uint32_t i1 = is_i32 ? *(int32_t *)src1_addr : *(int64_t *)src1_addr;
                 if (i1 >= ne1) {
@@ -78,14 +84,18 @@ static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
                     continue;
                 }
 
-                const uintptr_t src0_ptr = octx->src0.data + i*nb01 + i02*nb02 + i03*nb03;
-                const uintptr_t dst_ptr  = octx->dst.data  + i1*nb1 + i02*nb2  + i03*nb3;
+                const uintptr_t src0_ptr = octx->src[0]->data + i*nb01 + i02*nb02 + i03*nb03;
+                const uintptr_t dst_ptr  = octx->dst->data  + i1*nb1 + i02*nb2  + i03*nb3;
 
                 // copy row
                 hvx_copy_f32_uu((uint8_t *)dst_ptr, (const uint8_t *)src0_ptr, ne00);
             }
         }
     }
+
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "set-rows-f32-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, ir0, ir1, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) qt);
 }
 
 static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *data) {
@@ -94,12 +104,14 @@ static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *da
 
     set_rows_preamble;
 
+    uint64_t qt = HAP_perf_get_qtimer_count();
+
     // parallelize by rows of src0
     const uint32_t dr  = srctx->src0_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
-    const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
+    const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
 
     for (uint32_t i03 = 0; i03 < ne03; ++i03) {
         for (uint32_t i02 = 0; i02 < ne02; ++i02) {
@@ -108,7 +120,7 @@ static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *da
                 const uint32_t i11 = fastmodulo(i02, ne11, &srctx->div_ne11);
                 const uint32_t i10 = i;
 
-                const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
+                const uintptr_t src1_addr = octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12;
 
                 uint32_t i1 = is_i32 ? *(int32_t *)src1_addr : *(int64_t *)src1_addr;
                 if (i1 >= ne1) {
@@ -116,13 +128,17 @@ static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *da
                     continue;
                 }
 
-                const uint8_t* src0_ptr = (const uint8_t *) octx->src0.data + i*nb01 + i02*nb02 + i03*nb03;
-                uint8_t*       dst_ptr  = (uint8_t *)       octx->dst.data  + i1*nb1 + i02*nb2  + i03*nb3;
+                const uint8_t* src0_ptr = (const uint8_t *) octx->src[0]->data + i*nb01 + i02*nb02 + i03*nb03;
+                uint8_t*       dst_ptr  = (uint8_t *)       octx->dst->data  + i1*nb1 + i02*nb2  + i03*nb3;
 
                 hvx_copy_f16_f32_uu(dst_ptr, src0_ptr, ne00);
             }
         }
     }
+
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "set-rows-f16-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, ir0, ir1, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) qt);
 }
 
 int op_set_rows(struct htp_ops_context * octx) {
@@ -130,15 +146,15 @@ int op_set_rows(struct htp_ops_context * octx) {
 
     const uint32_t n_threads = MIN(nr, octx->n_threads);
 
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->dst.type != HTP_TYPE_F32 && octx->dst.type != HTP_TYPE_F16) {
+    if (octx->dst->type != HTP_TYPE_F32 && octx->dst->type != HTP_TYPE_F16) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->src1.type != HTP_TYPE_I32 && octx->src1.type != HTP_TYPE_I64) {
+    if (octx->src[1]->type != HTP_TYPE_I32 && octx->src[1]->type != HTP_TYPE_I64) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
@@ -153,7 +169,7 @@ int op_set_rows(struct htp_ops_context * octx) {
 
     srctx.src0_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
-    switch(octx->dst.type) {
+    switch(octx->dst->type) {
     case HTP_TYPE_F32:
         worker_pool_run_func(octx->ctx->worker_pool, set_rows_thread_f32_f32, &srctx, n_threads);
         break;
diff --git a/ggml/src/ggml-hexagon/htp/softmax-ops.c b/ggml/src/ggml-hexagon/htp/softmax-ops.c
index d6356b9506fb963b9de3c3a8babeca63e9ddf354..d78bcc0eb24e54b9541c8d7e2abefccbf8487c0c 100644
--- a/ggml/src/ggml-hexagon/htp/softmax-ops.c
+++ b/ggml/src/ggml-hexagon/htp/softmax-ops.c
@@ -15,68 +15,89 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define htp_softmax_preamble3                              \
-    const uint32_t ne00 = src0->ne[0];                     \
-    const uint32_t ne01 = src0->ne[1];                     \
-    const uint32_t ne02 = src0->ne[2];                     \
-    const uint32_t ne03 = src0->ne[3];                     \
-                                                           \
-    const uint32_t nb00 = src0->nb[0];                     \
-    const uint32_t nb01 = src0->nb[1];                     \
-    const uint32_t nb02 = src0->nb[2];                     \
-    const uint32_t nb03 = src0->nb[3];                     \
-                                                           \
-    const uint32_t ne10 = (src1->ne[0]) ? src1->ne[0] : 1; \
-    const uint32_t ne11 = (src1->ne[0]) ? src1->ne[1] : 1; \
-    const uint32_t ne12 = (src1->ne[0]) ? src1->ne[2] : 1; \
-    const uint32_t ne13 = (src1->ne[0]) ? src1->ne[3] : 1; \
-                                                           \
-    const uint32_t nb10 = (src1->ne[0]) ? src1->nb[0] : 1; \
-    const uint32_t nb11 = (src1->ne[0]) ? src1->nb[1] : 1; \
-    const uint32_t nb12 = (src1->ne[0]) ? src1->nb[2] : 1; \
-    const uint32_t nb13 = (src1->ne[0]) ? src1->nb[3] : 1; \
-                                                           \
-    const uint32_t ne0 = dst->ne[0];                       \
-    const uint32_t ne1 = dst->ne[1];                       \
-    const uint32_t ne2 = dst->ne[2];                       \
-    const uint32_t ne3 = dst->ne[3];                       \
-                                                           \
-    const uint32_t nb0 = dst->nb[0];                       \
-    const uint32_t nb1 = dst->nb[1];                       \
-    const uint32_t nb2 = dst->nb[2];                       \
+#define htp_softmax_preamble3                     \
+    const uint32_t ne00 = src0->ne[0];            \
+    const uint32_t ne01 = src0->ne[1];            \
+    const uint32_t ne02 = src0->ne[2];            \
+    const uint32_t ne03 = src0->ne[3];            \
+                                                  \
+    const uint32_t nb00 = src0->nb[0];            \
+    const uint32_t nb01 = src0->nb[1];            \
+    const uint32_t nb02 = src0->nb[2];            \
+    const uint32_t nb03 = src0->nb[3];            \
+                                                  \
+    const uint32_t ne10 = src1 ? src1->ne[0] : 1; \
+    const uint32_t ne11 = src1 ? src1->ne[1] : 1; \
+    const uint32_t ne12 = src1 ? src1->ne[2] : 1; \
+    const uint32_t ne13 = src1 ? src1->ne[3] : 1; \
+                                                  \
+    const uint32_t nb10 = src1 ? src1->nb[0] : 1; \
+    const uint32_t nb11 = src1 ? src1->nb[1] : 1; \
+    const uint32_t nb12 = src1 ? src1->nb[2] : 1; \
+    const uint32_t nb13 = src1 ? src1->nb[3] : 1; \
+                                                  \
+    const uint32_t ne0 = dst->ne[0];              \
+    const uint32_t ne1 = dst->ne[1];              \
+    const uint32_t ne2 = dst->ne[2];              \
+    const uint32_t ne3 = dst->ne[3];              \
+                                                  \
+    const uint32_t nb0 = dst->nb[0];              \
+    const uint32_t nb1 = dst->nb[1];              \
+    const uint32_t nb2 = dst->nb[2];              \
     const uint32_t nb3 = dst->nb[3];
 
 struct htp_softmax_context {
+    struct htp_ops_context * octx;
+
     bool     use_f16;
     bool     use_src1;
+
     uint32_t n_head;
     uint32_t n_head_log2;
 
-    float scale;
-    float max_bias;
-    float m0;
-    float m1;
+    float    scale;
+    float    max_bias;
+    float    m0;
+    float    m1;
 
-    uint32_t src0_nrows_per_thread;
     struct fastdiv_values fastdiv_ne01;
     struct fastdiv_values fastdiv_ne02;
     struct fastdiv_values fastdiv_ne12; // For mask broadcasting
     struct fastdiv_values fastdiv_ne13; // For mask broadcasting
-    size_t spad_stride;
 
-    struct htp_ops_context * octx;
+    uint32_t src0_nrows_per_thread;
 };
 
+static void apply_mask(float * restrict wp0,
+                       const float * restrict mp_f32,
+                       const __fp16 * restrict mp_f16,
+                       uint32_t ne00,
+                       float slope,
+                       bool use_f16) {
+    if (!mp_f32) {
+        return;
+    }
+    if (use_f16) {
+        for (uint32_t i = 0; i < ne00; ++i) {
+            wp0[i] += slope * (float) mp_f16[i];
+        }
+    } else {
+        for (uint32_t i = 0; i < ne00; ++i) {
+            wp0[i] += slope * mp_f32[i];
+        }
+    }
+}
+
 static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
 
     memset(smctx, 0, sizeof(struct htp_softmax_context));
 
-    memcpy(&smctx->scale, (float *) octx->op_params, sizeof(float));
+    memcpy(&smctx->scale,    (float *) octx->op_params,     sizeof(float));
     memcpy(&smctx->max_bias, (float *) octx->op_params + 1, sizeof(float));
 
     smctx->n_head      = src0->ne[2];
@@ -85,8 +106,8 @@ static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_
     smctx->m0 = powf(2.0f, -(smctx->max_bias) / smctx->n_head_log2);
     smctx->m1 = powf(2.0f, -(smctx->max_bias / 2.0f) / smctx->n_head_log2);
 
-    smctx->use_src1 = (src1->ne[0] != 0);
-    smctx->use_f16  = (src1->ne[0] != 0) && (src1->type == HTP_TYPE_F16);
+    smctx->use_src1 = (src1 != 0);
+    smctx->use_f16  = (src1 != 0) && (src1->type == HTP_TYPE_F16);
 
     smctx->octx = octx;
 
@@ -97,8 +118,8 @@ static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_
     if (ne01 > 0) smctx->fastdiv_ne01 = init_fastdiv_values(ne01);
     if (ne02 > 0) smctx->fastdiv_ne02 = init_fastdiv_values(ne02);
 
-    const uint32_t ne12 = (src1->ne[0]) ? src1->ne[2] : 1;
-    const uint32_t ne13 = (src1->ne[0]) ? src1->ne[3] : 1;
+    const uint32_t ne12 = src1 ? src1->ne[2] : 1;
+    const uint32_t ne13 = src1 ? src1->ne[3] : 1;
 
     if (ne12 > 0) smctx->fastdiv_ne12 = init_fastdiv_values(ne12);
     if (ne13 > 0) smctx->fastdiv_ne13 = init_fastdiv_values(ne13);
@@ -139,10 +160,7 @@ static void hvx_fast_softmax_prep_f32(const uint8_t * restrict src,
     }
 }
 
-static void hvx_fast_softmax_f32(const uint8_t * restrict src,
-                                 uint8_t * restrict dst,
-                                 uint8_t * restrict pad,
-                                 const int num_elems) {
+static void hvx_fast_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict pad, const int num_elems) {
     const HVX_Vector * restrict v_src = (HVX_Vector *) src;
     HVX_Vector * restrict v_pad       = (HVX_Vector *) pad;
     HVX_Vector * restrict v_dst       = (HVX_Vector *) dst;
@@ -188,27 +206,20 @@ static void hvx_fast_softmax_f32(const uint8_t * restrict src,
     }
 }
 
-static float hvx_softmax_f32(const uint8_t * restrict src,
-                             uint8_t * restrict dst,
-                             uint8_t * restrict spad,
-                             const int   num_elems,
-                             const float max) {
+static float hvx_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict spad, const int  num_elems, const float max) {
     hvx_sub_scalar_f32(spad, src, max, num_elems);
 
     hvx_exp_f32(dst, spad, num_elems, false);
-
-    float sum = hvx_reduce_sum_f32(dst, num_elems);
-
-    return sum;
+    return hvx_reduce_sum_f32(dst, num_elems);
 }
 
 static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
     struct htp_softmax_context * smctx = (struct htp_softmax_context *) data;
     struct htp_ops_context * octx = smctx->octx;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     htp_softmax_preamble3;
 
@@ -223,22 +234,26 @@ static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
         return;
     }
 
-    uint64_t t1, t2;
-    t1 = HAP_perf_get_qtimer_count();
+    uint64_t qt = HAP_perf_get_qtimer_count();
 
     int is_aligned = 1;
     int opt_path   = 0;
+
     if (!hex_is_aligned((void *) src0->data, VLEN) || !hex_is_aligned((void *) dst->data, VLEN)) {
         is_aligned = 0;
         FARF(HIGH, "softmax-f32: unaligned addresses in elementwise op, possibly slower execution\n");
     }
+
+    // Only use the fast path when aligned AND row size is multiple of VLEN (128 bytes)
+    // The fast path (hvx_fast_softmax_f32) doesn't handle tail elements
+    // The non-opt path uses hvx_softmax_f32 which properly handles all sizes via its helper functions
     if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) {
         opt_path = 1;
     }
 
-    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * smctx->spad_stride);
-    uint8_t * src1_spad_data = octx->src1_spad.data + (ith * smctx->spad_stride);
-    uint8_t * dst_spad_data  = octx->dst_spad.data + (ith * smctx->spad_stride);
+    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
+    uint8_t * src1_spad_data = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
+    uint8_t * dst_spad_data  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
 
     float * wp0 = (float *) src0_spad_data;
     float * wp1 = (float *) src1_spad_data;
@@ -278,47 +293,29 @@ static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
         // ALiBi
         if (i2 != prev_i2) {
             const uint32_t h = i2;  // head
-
-            slope = (smctx->max_bias > 0.0f) ?
-                        h < smctx->n_head_log2 ?
-                        powf(smctx->m0, h + 1) :
-                        powf(smctx->m1, 2 * (h - smctx->n_head_log2) + 1) :
-                        1.0f;
+            slope = (smctx->max_bias > 0.0f) ? h < smctx->n_head_log2 ? powf(smctx->m0, h + 1) : powf(smctx->m1, 2 * (h - smctx->n_head_log2) + 1) : 1.0f;
             prev_i2 = i2;
         }
 
-        float * sp = (float *) ((char *) octx->src0.data + i1 * nb01 + i2 * nb02 + i3 * nb03);
-        float * dp = (float *) ((char *) octx->dst.data + i1 * nb1 + i2 * nb2 + i3 * nb3);
+        float * sp = (float *) ((char *) src0->data + i1 * nb01 + i2 * nb02 + i3 * nb03);
+        float * dp = (float *) ((char *) dst->data  + i1 * nb1  + i2 * nb2  + i3 * nb3);
 
         // broadcast the mask across rows
-        __fp16 * mp_f16 = (smctx->use_src1) ?
-                              (__fp16 *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
-                              NULL;
-        float *  mp_f32 = (smctx->use_src1) ?
-                              (float *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
-                              NULL;
+        __fp16 * mp_f16 = (smctx->use_src1) ? (__fp16 *) ((char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL;
+        float *  mp_f32 = (smctx->use_src1) ? (float *)  ((char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL;
 
         if ((1 == opt_path) && (mp_f32) && !(smctx->use_f16)) {
-            hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, smctx->scale,
-                                      (const uint8_t *) mp_f32, slope);
-        } else {
+            hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, smctx->scale, (const uint8_t *) mp_f32, slope);
+            hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
+        } else if (1 == opt_path) {
             hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
-            if (mp_f32) {
-                if (smctx->use_f16) {
-                    for (int i = 0; i < ne00; ++i) {
-                        wp0[i] += slope * (float) mp_f16[i];
-                    }
-                } else {
-                    for (int i = 0; i < ne00; ++i) {
-                        wp0[i] += slope * mp_f32[i];
-                    }
-                }
-            }
-        }
-
-        if (1 == opt_path) {
+            apply_mask(wp0, mp_f32, mp_f16, ne00, slope, smctx->use_f16);
             hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
         } else {
+            // Non-optimized path: uses HVX helper functions that properly handle all tensor sizes
+            // including non-multiples of 32 (the HVX vector lane count for f32)
+            hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
+            apply_mask(wp0, mp_f32, mp_f16, ne00, slope, smctx->use_f16);
             float max = hvx_reduce_max_f32((const uint8_t *) wp0, ne00);
             float sum = hvx_softmax_f32((const uint8_t *) wp0, (uint8_t *) wp2, (uint8_t *) wp1, ne00, max);
             sum       = sum > 0.0 ? (1.0 / sum) : 1;
@@ -326,54 +323,47 @@ static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
         }
     }
 
-    t2 = HAP_perf_get_qtimer_count();
-
-    FARF(HIGH, "softmax-f32 %d/%d/%d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
-         smctx->use_f16, opt_path, ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
-         ne0, ne1, ne2, ne3, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "softmax-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u : opt %u f16 %u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
+         ne0, ne1, ne2, ne3, opt_path, smctx->use_f16, (unsigned) qt);
 }
 
 static int execute_op_softmax_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     struct htp_softmax_context smctx;
     const char * op_type = "softmax-f32";
 
-    switch (octx->op) {
-        case HTP_OP_SOFTMAX:
-            init_softmax_ctx(&smctx, octx);
-            break;
-
-        default:
-            FARF(ERROR, "Unsupported Op %u\n", octx->op);
-            return HTP_STATUS_NO_SUPPORT;
-    }
+    init_softmax_ctx(&smctx, octx);
 
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
+    smctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
+
     const size_t src0_row_size = src0->nb[1];
     const size_t src1_row_size = src0_row_size;
     const size_t dst_row_size  = dst->nb[1];
 
     // VTCM scratchpads for all tensors
-    // N rows per thread, padded to HVX vector size
-    octx->dst_spad.size  = hex_round_up(dst_row_size, 128) * n_threads;
-    octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads;
-    octx->src1_spad.size = hex_round_up(src1_row_size, 128) * n_threads;
+    // 4 rows per thread, padded to HVX vector size
+    octx->src0_spad.size_per_thread = hex_round_up(4 * src0_row_size, 128);
+    octx->src1_spad.size_per_thread = hex_round_up(4 * src1_row_size, 128);
+    octx->dst_spad.size_per_thread  = hex_round_up(4 * dst_row_size, 128);
 
-    // Use stride for calculating offset
-    smctx.spad_stride = hex_round_up(src0_row_size, 128);
+    octx->src0_spad.size = octx->src0_spad.size_per_thread * n_threads;
+    octx->src1_spad.size = octx->src1_spad.size_per_thread * n_threads;
+    octx->dst_spad.size  = octx->dst_spad.size_per_thread  * n_threads;
 
     size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
 
-    if (src1->ne[0]) {
-        FARF(HIGH,
-             "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
+    if (src1) {
+        FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
              op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
              src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size,
              octx->dst_spad.size);
@@ -385,19 +375,17 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
 
     // Make sure the reserved vtcm size is sufficient
     if (octx->ctx->vtcm_size < spad_size) {
-        FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size,
-             spad_size);
+        FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size, spad_size);
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src  = NULL;
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        smctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, softmax_job_f32, &smctx, n_threads);
-    }
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) return err;
+
+    worker_pool_run_func(octx->ctx->worker_pool, softmax_job_f32, &smctx, n_threads);
 
     return err;
 }
@@ -405,7 +393,7 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
 int op_softmax(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_softmax_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/ssm-conv.c b/ggml/src/ggml-hexagon/htp/ssm-conv.c
index b3c1ef9572e4c638b51eafebbf02d88377385c81..a28fd03e9781a003823d2d125b25a5ed416f0dc8 100644
--- a/ggml/src/ggml-hexagon/htp/ssm-conv.c
+++ b/ggml/src/ggml-hexagon/htp/ssm-conv.c
@@ -16,14 +16,14 @@
 #include "ggml-common.h"
 #include "htp-ctx.h"
 #include "hex-dma.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
-#define htp_ssm_conv_tensors_preamble                        \
-    struct htp_tensor * restrict src0    = &octx->src0;      \
-    struct htp_tensor * restrict src1    = &octx->src1;      \
-    struct htp_tensor * restrict dst     = &octx->dst;       \
+#define htp_ssm_conv_tensors_preamble                          \
+    const struct htp_tensor * restrict src0    = octx->src[0]; \
+    const struct htp_tensor * restrict src1    = octx->src[1]; \
+    const struct htp_tensor * restrict dst     = octx->dst;    \
     struct htp_spad * restrict src0_spad = &octx->src0_spad; \
     struct htp_spad * restrict src1_spad = &octx->src1_spad; \
     struct htp_spad * restrict dst_spad  = &octx->dst_spad;  \
@@ -151,7 +151,7 @@ static void ssm_conv_thread_f32_f32_hvx(unsigned int nth, unsigned int ith, void
     const int dr = scctx->nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = MIN(ir0 + dr, d_inner);
-    const int      ir  = ir1 - ir0;
+    const uint32_t ir  = ir1 - ir0;
 
     if (ir0 >= ir1) {
         return;  // No work for this thread
@@ -205,10 +205,10 @@ static void ssm_conv_thread_f32_f32_hvx(unsigned int nth, unsigned int ith, void
                 HVX_Vector acc_vec = Q6_V_vsplat_R(0);
 
                 for (uint32_t i0 = 0; i0 < d_conv; ++i0) {
-                    Q6_vgather_ARMVw(src0_vec, GATHER_TYPE(spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0])),
-                                     src0_gather_len, (*(const HVX_Vector *) src0_offsets));
-                    Q6_vgather_ARMVw(src1_vec, GATHER_TYPE(spad_src1 + (i0 + i1 * nc) * sizeof(float)),
-                                     src1_gather_len, (*(const HVX_Vector *) src1_offsets));
+                    uint32_t src0_base = (uint32_t) spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0]);
+                    uint32_t src1_base = (uint32_t) spad_src1 + (i0 + i1 * nc)  * sizeof(float);
+                    Q6_vgather_ARMVw(src0_vec, src0_base, src0_gather_len, (*(const HVX_Vector *) src0_offsets));
+                    Q6_vgather_ARMVw(src1_vec, src1_base, src1_gather_len, (*(const HVX_Vector *) src1_offsets));
 
                     HVX_Vector prod = Q6_Vqf32_vmpy_VsfVsf(*(const HVX_Vector *) src0_vec, *(const HVX_Vector *) src1_vec);
                     acc_vec = Q6_Vqf32_vadd_Vqf32Vqf32(acc_vec, prod);
@@ -222,10 +222,10 @@ static void ssm_conv_thread_f32_f32_hvx(unsigned int nth, unsigned int ith, void
                 HVX_Vector acc_vec = Q6_V_vsplat_R(0);
 
                 for (uint32_t i0 = 0; i0 < d_conv; ++i0) {
-                    Q6_vgather_ARMVw(src0_vec, GATHER_TYPE(spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0])),
-                                     src0_gather_len, (*(const HVX_Vector *) src0_offsets));
-                    Q6_vgather_ARMVw(src1_vec, GATHER_TYPE(spad_src1 + (i0 + i1 * nc) * sizeof(float)),
-                                     src1_gather_len, (*(const HVX_Vector *) src1_offsets));
+                    uint32_t src0_base = (uint32_t) spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0]);
+                    uint32_t src1_base = (uint32_t) spad_src1 + (i0 + i1 * nc)  * sizeof(float);
+                    Q6_vgather_ARMVw(src0_vec, src0_base, src0_gather_len, (*(const HVX_Vector *) src0_offsets));
+                    Q6_vgather_ARMVw(src1_vec, src1_base, src1_gather_len, (*(const HVX_Vector *) src1_offsets));
 
                     HVX_Vector prod = Q6_Vqf32_vmpy_VsfVsf(*(const HVX_Vector *) src0_vec, *(const HVX_Vector *) src1_vec);
                     acc_vec = Q6_Vqf32_vadd_Vqf32Vqf32(acc_vec, prod);
@@ -289,9 +289,9 @@ int op_ssm_conv_f32(struct htp_ops_context * octx) {
             // Compute gather scratchpad size for src0 and src1
             const size_t gather_spad_size = n_threads * VLEN * 2;
 
-            octx->src0_spad.data = octx->ctx->vtcm_base + gather_spad_size;
-            octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-            octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+            octx->src0_spad.data = octx->ctx->vtcm_base + gather_spad_size;     octx->src0_spad.src = NULL;
+            octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+            octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src  = NULL;
 
             FARF(HIGH, "ssm_conv-f32: gather-spad:%zu spad-per-thread:(%u:%u:%u) spad-sizes:(%u:%u:%u) spad-data:(%p:%p:%p)\n",
                 gather_spad_size, octx->src0_spad.size_per_thread, octx->src1_spad.size_per_thread,
@@ -323,8 +323,9 @@ int op_ssm_conv_f32(struct htp_ops_context * octx) {
 }
 
 int op_ssm_conv(struct htp_ops_context * octx) {
-    int                 err = HTP_STATUS_OK;
-    struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * dst = octx->dst;
+
+    int err = HTP_STATUS_OK;
 
     switch (dst->type) {
         case HTP_TYPE_F32:
diff --git a/ggml/src/ggml-hexagon/htp/sum-rows-ops.c b/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
index 352650b689b1b3db62b284fb1e1a94ec1b1a5adb..874c41ab2ac70e8239b067e6255a312a89f176cc 100644
--- a/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
@@ -14,13 +14,13 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define sum_rows_preamble                       \
-    struct htp_tensor *src0 =  &octx->src0;\
-    struct htp_tensor *dst  = &octx->dst;  \
-                                           \
+#define sum_rows_preamble                         \
+    const struct htp_tensor *src0 = octx->src[0]; \
+    const struct htp_tensor *dst  = octx->dst;    \
+                                                  \
     const uint32_t ne00 = src0->ne[0];     \
     const uint32_t ne01 = src0->ne[1];     \
     const uint32_t ne02 = src0->ne[2];     \
@@ -94,7 +94,7 @@ static void sum_rows_thread_f32(unsigned int nth, unsigned int ith, void *data)
 int op_sum_rows(struct htp_ops_context * octx) {
     sum_rows_preamble;
 
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
diff --git a/ggml/src/ggml-hexagon/htp/unary-ops.c b/ggml/src/ggml-hexagon/htp/unary-ops.c
index 3d0928d4dce164d802593c6ca6a411abffac43c1..03eccfd55e3ab5ff412a47bceaafff7ab900b865 100644
--- a/ggml/src/ggml-hexagon/htp/unary-ops.c
+++ b/ggml/src/ggml-hexagon/htp/unary-ops.c
@@ -16,7 +16,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 struct htp_unary_context {
@@ -67,34 +67,61 @@ static void hvx_fast_rms_norm_f32(const uint8_t * restrict src,
                                   uint8_t * restrict pad,
                                   const int num_elems,
                                   float     epsilon) {
+    (void)pad;
+
     const HVX_Vector * restrict v_src = (HVX_Vector *) src;
     HVX_Vector * restrict v_dst       = (HVX_Vector *) dst;
 
-    HVX_Vector sum_v     = Q6_V_vsplat_R(0x00000000);
+    const int nvec = num_elems / VLEN_FP32;    // number of full vectors
+    const int nloe = num_elems % VLEN_FP32;    // leftover elements
+
+    // Compute sum of squares for full vectors
+    HVX_Vector sum_v = Q6_V_vsplat_R(0x00000000);
     HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon);
 
-    int step_of_1 = num_elems >> 5;
     #pragma unroll(4)
-    for (int i = 0; i < step_of_1; i++) {
+    for (int i = 0; i < nvec; i++) {
         HVX_Vector v1 = v_src[i];
         HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
-        sum_v         = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
+        sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
+    }
+
+    // Handle tail elements using vectorized ops with masking
+    if (nloe > 0) {
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
+        HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
+        HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, v1);
+        sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
     }
 
-    sum_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v)); // replicated over all lanes
+    // Reduce HVX sum
+    sum_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
 
     HVX_Vector t_v            = hvx_vec_splat_f32((float) num_elems);
     HVX_Vector denom_v        = hvx_vec_inverse_f32(t_v);
     HVX_Vector mean_v         = Q6_Vqf32_vmpy_VsfVsf(sum_v, denom_v);
     HVX_Vector mean_epsilon_v = Q6_Vqf32_vadd_Vqf32Vsf(mean_v, epsilon_v);
 
+    // Scale full vectors
     HVX_Vector scale_v = hvx_vec_rsqrt_f32(Q6_Vsf_equals_Vqf32(mean_epsilon_v));
 
     #pragma unroll(4)
-    for (int i = 0; i < step_of_1; i++) {
+    for (int i = 0; i < nvec; i++) {
         HVX_Vector v1 = v_src[i];
         HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_v);
-        v_dst[i]      = Q6_Vsf_equals_Vqf32(v2);
+        v_dst[i] = Q6_Vsf_equals_Vqf32(v2);
+    }
+
+    // Handle tail elements using vectorized ops with masking
+    if (nloe > 0) {
+
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4);
+        HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]);
+        HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_v);
+        HVX_Vector result = Q6_Vsf_equals_Vqf32(v2);
+
+        // Store with masking to avoid overwriting memory beyond the tensor
+        hvx_vec_store_a(&v_dst[nvec], nloe * 4, result);
     }
 }
 
@@ -240,8 +267,8 @@ static void softplus_f32(const float * restrict src,
 static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     const struct htp_unary_context * uctx = (const struct htp_unary_context *) data;
     struct htp_ops_context * octx = uctx->octx;
-    const struct htp_tensor * src = &octx->src0;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * src = octx->src[0];
+    const struct htp_tensor * dst = octx->dst;
 
     htp_unary_preamble;
 
@@ -360,8 +387,8 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
 static int execute_op_unary_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
 
     const char * op_type = NULL;
 
@@ -463,7 +490,7 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) {
 int op_unary(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_unary_f32(octx);
             break;
diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt
index b44ed0f7215c0359141caabe65712daaee9eb8fe..5522781a777f3ba9363292ddff5452821a9f243f 100644
--- a/ggml/src/ggml-hip/CMakeLists.txt
+++ b/ggml/src/ggml-hip/CMakeLists.txt
@@ -1,144 +1,3 @@
-if (NOT EXISTS $ENV{ROCM_PATH})
-    if (NOT EXISTS /opt/rocm)
-        set(ROCM_PATH /usr)
-    else()
-        set(ROCM_PATH /opt/rocm)
-    endif()
-else()
-    set(ROCM_PATH $ENV{ROCM_PATH})
-endif()
-
-list(APPEND CMAKE_PREFIX_PATH  ${ROCM_PATH})
-list(APPEND CMAKE_PREFIX_PATH "${ROCM_PATH}/lib64/cmake")
-
-if (NOT DEFINED CMAKE_HIP_FLAGS_DEBUG)
-    set(CMAKE_HIP_FLAGS_DEBUG "-g -O2")
-endif()
-
-# CMake on Windows doesn't support the HIP language yet
-if (WIN32)
-    set(CXX_IS_HIPCC TRUE)
-else()
-    string(REGEX MATCH "hipcc(\.bat)?$" CXX_IS_HIPCC "${CMAKE_CXX_COMPILER}")
-endif()
-
-if (CXX_IS_HIPCC)
-    if (LINUX)
-        if (NOT ${CMAKE_CXX_COMPILER_ID} MATCHES "Clang")
-            message(WARNING "Only LLVM is supported for HIP, hint: CXX=/opt/rocm/llvm/bin/clang++")
-        endif()
-
-        message(WARNING "Setting hipcc as the C++ compiler is legacy behavior."
-                " Prefer setting the HIP compiler directly. See README for details.")
-    endif()
-else()
-    # Forward (AMD)GPU_TARGETS to CMAKE_HIP_ARCHITECTURES.
-    if(AMDGPU_TARGETS AND NOT GPU_TARGETS)
-        set(GPU_TARGETS ${AMDGPU_TARGETS})
-    endif()
-    if(GPU_TARGETS AND NOT CMAKE_HIP_ARCHITECTURES)
-        set(CMAKE_HIP_ARCHITECTURES ${GPU_TARGETS})
-    endif()
-    cmake_minimum_required(VERSION 3.21)
-    enable_language(HIP)
-endif()
-
-find_package(hip     REQUIRED)
-find_package(hipblas REQUIRED)
-find_package(rocblas REQUIRED)
-
-if (${hip_VERSION} VERSION_LESS 6.1)
-    message(FATAL_ERROR "At least ROCM/HIP V6.1 is required")
-endif()
-
-message(STATUS "HIP and hipBLAS found")
-
-# Workaround old compilers
-set(CMAKE_HIP_FLAGS "${CMAKE_HIP_FLAGS} --gpu-max-threads-per-block=1024")
-
-file(GLOB   GGML_HEADERS_ROCM "../ggml-cuda/*.cuh")
-list(APPEND GGML_HEADERS_ROCM "../../include/ggml-cuda.h")
-
-file(GLOB   GGML_SOURCES_ROCM "../ggml-cuda/*.cu")
-file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-tile*.cu")
-list(APPEND GGML_SOURCES_ROCM ${SRCS})
-file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-mma*.cu")
-list(APPEND GGML_SOURCES_ROCM ${SRCS})
-file(GLOB   SRCS "../ggml-cuda/template-instances/mmq*.cu")
-list(APPEND GGML_SOURCES_ROCM ${SRCS})
-file(GLOB   SRCS "../ggml-cuda/template-instances/mmf*.cu")
-list(APPEND GGML_SOURCES_ROCM ${SRCS})
-
-if (GGML_CUDA_FA_ALL_QUANTS)
-    file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*.cu")
-    list(APPEND GGML_SOURCES_ROCM ${SRCS})
-    add_compile_definitions(GGML_CUDA_FA_ALL_QUANTS)
-else()
-    file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu")
-    list(APPEND GGML_SOURCES_ROCM ${SRCS})
-    file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu")
-    list(APPEND GGML_SOURCES_ROCM ${SRCS})
-    file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*f16-f16.cu")
-    list(APPEND GGML_SOURCES_ROCM ${SRCS})
-endif()
-
-ggml_add_backend_library(ggml-hip
-                         ${GGML_HEADERS_ROCM}
-                         ${GGML_SOURCES_ROCM}
-                        )
-
-# TODO: do not use CUDA definitions for HIP
-if (NOT GGML_BACKEND_DL)
-    target_compile_definitions(ggml PUBLIC GGML_USE_CUDA)
-endif()
-
-add_compile_definitions(GGML_USE_HIP)
-
-if (GGML_CUDA_FORCE_MMQ)
-    add_compile_definitions(GGML_CUDA_FORCE_MMQ)
-endif()
-
-if (GGML_CUDA_FORCE_CUBLAS)
-    add_compile_definitions(GGML_CUDA_FORCE_CUBLAS)
-endif()
-
-if (GGML_CUDA_NO_PEER_COPY)
-    add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
-endif()
-
-if (GGML_HIP_GRAPHS)
-    add_compile_definitions(GGML_HIP_GRAPHS)
-endif()
-
-if (GGML_HIP_NO_VMM)
-    add_compile_definitions(GGML_HIP_NO_VMM)
-endif()
-
-if (GGML_HIP_ROCWMMA_FATTN)
-    add_compile_definitions(GGML_HIP_ROCWMMA_FATTN)
-endif()
-
-if (NOT GGML_HIP_MMQ_MFMA)
-    add_compile_definitions(GGML_HIP_NO_MMQ_MFMA)
-endif()
-
-if (GGML_HIP_EXPORT_METRICS)
-    set(CMAKE_HIP_FLAGS "${CMAKE_HIP_FLAGS} -Rpass-analysis=kernel-resource-usage --save-temps")
-endif()
-
-if (NOT GGML_CUDA_FA)
-    add_compile_definitions(GGML_CUDA_NO_FA)
-endif()
-
-if (CXX_IS_HIPCC)
-    set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX)
-    target_link_libraries(ggml-hip PRIVATE hip::device)
-else()
-    set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE HIP)
-endif()
-
-if (GGML_STATIC)
-    message(FATAL_ERROR "Static linking not supported for HIP/ROCm")
-endif()
-
-target_link_libraries(ggml-hip PRIVATE ggml-base hip::host roc::rocblas roc::hipblas)
+version https://git-lfs.github.com/spec/v1
+oid sha256:406b4d66c1c0180b787adb12003e3eaf64117dc83af5df817e99155852f650b6
+size 4940
diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h
index 92568655956a7b36e9a685ea33c9ec8445a09dd5..62b76abbcec9e71c860ba1a99d79b501bad26b93 100644
--- a/ggml/src/ggml-impl.h
+++ b/ggml/src/ggml-impl.h
@@ -30,6 +30,8 @@ extern "C" {
 
 void ggml_print_backtrace(void);
 
+uint64_t ggml_graph_next_uid(void);
+
 #ifndef MIN
 #    define MIN(a, b) ((a) < (b) ? (a) : (b))
 #endif
@@ -338,6 +340,10 @@ struct ggml_cgraph {
     struct ggml_hash_set visited_hash_set;
 
     enum ggml_cgraph_eval_order order;
+
+    // an optional identifier that can be utilized to recognize same graphs if two non-zero values match
+    // a value of 0 means it is not set and should be ignored
+    uint64_t uid;
 };
 
 // returns a slice of cgraph with nodes [i0, i1)
@@ -773,6 +779,5 @@ inline bool ggml_check_edges(const struct ggml_cgraph *                cgraph,
 
 // expose GGUF internals for test code
 GGML_API size_t gguf_type_size(enum gguf_type type);
-GGML_API struct gguf_context * gguf_init_from_file_impl(FILE * file, struct gguf_init_params params);
 GGML_API void gguf_write_to_buf(const struct gguf_context * ctx, std::vector<int8_t> & buf, bool only_meta);
 #endif // __cplusplus
diff --git a/ggml/src/ggml-metal/ggml-metal-device.cpp b/ggml/src/ggml-metal/ggml-metal-device.cpp
index 72ad876d5e48db3943b522c45c1d6416bc7ff58b..07d016d22277bf7b51cc9d4d1d9f0c15bf1f496d 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-device.cpp
@@ -246,6 +246,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_unary(ggml_metal
                 case GGML_UNARY_OP_EXP:         op_num = OP_UNARY_NUM_EXP;         break;
                 case GGML_UNARY_OP_SOFTPLUS:    op_num = OP_UNARY_NUM_SOFTPLUS;    break;
                 case GGML_UNARY_OP_EXPM1:       op_num = OP_UNARY_NUM_EXPM1;       break;
+                case GGML_UNARY_OP_FLOOR:       op_num = OP_UNARY_NUM_FLOOR;       break;
+                case GGML_UNARY_OP_CEIL:        op_num = OP_UNARY_NUM_CEIL;        break;
+                case GGML_UNARY_OP_ROUND:       op_num = OP_UNARY_NUM_ROUND;       break;
+                case GGML_UNARY_OP_TRUNC:       op_num = OP_UNARY_NUM_TRUNC;       break;
+                case GGML_UNARY_OP_XIELU:       op_num = OP_UNARY_NUM_XIELU;       break;
                 default: GGML_ABORT("fatal error");
             } break;
         default: GGML_ABORT("fatal error");
@@ -732,6 +737,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv(ggml_meta
                     suffix = ne00 % 4 == 0 ? "_4" : "";
                 }
             } break;
+        case GGML_TYPE_Q1_0:
+            {
+                nsg = N_SG_Q1_0;
+                nr0 = N_R0_Q1_0;
+            } break;
         case GGML_TYPE_Q4_0:
             {
                 nsg = N_SG_Q4_0;
@@ -944,6 +954,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_id(ggml_m
                 smem = 32*sizeof(float)*nr0;
                 suffix = ne00 % 4 == 0 ? "_4" : "";
             } break;
+        case GGML_TYPE_Q1_0:
+            {
+                nsg = N_SG_Q1_0;
+                nr0 = N_R0_Q1_0;
+            } break;
         case GGML_TYPE_Q4_0:
             {
                 nsg = N_SG_Q4_0;
@@ -1748,6 +1763,28 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_2d(ggml_met
     return res;
 }
 
+ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_3d(ggml_metal_library_t lib, const ggml_tensor * op) {
+    assert(op->op == GGML_OP_CONV_3D);
+
+    GGML_ASSERT(ggml_is_contiguous(op->src[0]));
+    GGML_ASSERT(op->src[0]->type == GGML_TYPE_F16 || op->src[0]->type == GGML_TYPE_F32);
+    GGML_ASSERT(op->src[1]->type == GGML_TYPE_F32);
+    GGML_ASSERT(op->type         == GGML_TYPE_F32);
+
+    char base[256];
+    char name[256];
+
+    snprintf(base, 256, "kernel_conv_3d_%s_%s", ggml_type_name(op->src[0]->type), ggml_type_name(op->src[1]->type));
+    snprintf(name, 256, "%s", base);
+
+    ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
+    if (!res.pipeline) {
+        res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr);
+    }
+
+    return res;
+}
+
 ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale(ggml_metal_library_t lib, const ggml_tensor * op) {
     assert(op->op == GGML_OP_UPSCALE);
 
@@ -1782,6 +1819,23 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale(ggml_met
     return res;
 }
 
+ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_roll(ggml_metal_library_t lib, const ggml_tensor * op) {
+    assert(op->op == GGML_OP_ROLL);
+
+    char base[256];
+    char name[256];
+
+    snprintf(base, 256, "kernel_roll_%s", ggml_type_name(op->src[0]->type));
+    snprintf(name, 256, "%s", base);
+
+    ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
+    if (!res.pipeline) {
+        res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr);
+    }
+
+    return res;
+}
+
 ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_pad(ggml_metal_library_t lib, const ggml_tensor * op) {
     assert(op->op == GGML_OP_PAD);
 
diff --git a/ggml/src/ggml-metal/ggml-metal-device.h b/ggml/src/ggml-metal/ggml-metal-device.h
index fd2b3ddeb5589f3d33a36d3f81f979a1558fcff4..b423501358ed6b28a6ef34a61ae85bf148963598 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.h
+++ b/ggml/src/ggml-metal/ggml-metal-device.h
@@ -148,9 +148,11 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_im2col
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_transpose_1d (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_transpose_2d (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_2d           (ggml_metal_library_t lib, const struct ggml_tensor * op);
+struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_3d           (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale           (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_pad               (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_pad_reflect_1d    (ggml_metal_library_t lib, const struct ggml_tensor * op);
+struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_roll              (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_arange            (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_timestep_embedding(ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_opt_step_adamw    (ggml_metal_library_t lib, const struct ggml_tensor * op);
diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m
index 82101f4714e602d363d5b765be6007f4289bceff..27cb16835187c1225486a13a771fba05727eacef 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.m
+++ b/ggml/src/ggml-metal/ggml-metal-device.m
@@ -690,7 +690,7 @@ ggml_metal_device_t ggml_metal_device_init(int device) {
                     "    auto tB = B.slice((int)tgid.x, 0); \n"
                     " \n"
                     "    matmul2d< \n"
-                    "        matmul2d_descriptor(8, 8, dynamic_extent), \n"
+                    "        matmul2d_descriptor(16, 16, dynamic_extent), \n"
                     "        execution_simdgroups<4>> mm; \n"
                     " \n"
                     "    auto cT = mm.get_destination_cooperative_tensor<decltype(tA), decltype(tB), float>(); \n"
@@ -740,7 +740,7 @@ ggml_metal_device_t ggml_metal_device_init(int device) {
                     "    auto tB = B.slice((int)tgid.x, 0); \n"
                     " \n"
                     "    matmul2d< \n"
-                    "        matmul2d_descriptor(8, 8, dynamic_extent), \n"
+                    "        matmul2d_descriptor(16, 16, dynamic_extent), \n"
                     "        execution_simdgroups<4>> mm; \n"
                     " \n"
                     "    auto cT = mm.get_destination_cooperative_tensor<decltype(tA), decltype(tB), float>(); \n"
@@ -1039,6 +1039,11 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                 case GGML_UNARY_OP_EXP:
                 case GGML_UNARY_OP_SOFTPLUS:
                 case GGML_UNARY_OP_EXPM1:
+                case GGML_UNARY_OP_FLOOR:
+                case GGML_UNARY_OP_CEIL:
+                case GGML_UNARY_OP_ROUND:
+                case GGML_UNARY_OP_TRUNC:
+                case GGML_UNARY_OP_XIELU:
                     return ggml_is_contiguous_rows(op->src[0]) && (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16);
                 default:
                     return false;
@@ -1077,6 +1082,11 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                 (op->src[0]->type == GGML_TYPE_F16 || op->src[0]->type == GGML_TYPE_F32) &&
                 op->src[1]->type == GGML_TYPE_F32 &&
                 op->type == GGML_TYPE_F32;
+        case GGML_OP_CONV_3D:
+            return ggml_is_contiguous(op->src[0]) &&
+                   ggml_is_contiguous(op->src[1]) &&
+                   (op->src[0]->type == GGML_TYPE_F16 || op->src[0]->type == GGML_TYPE_F32) &&
+                   op->src[1]->type == GGML_TYPE_F32;
         case GGML_OP_SUM:
             return has_simdgroup_reduction && ggml_is_contiguous(op->src[0]);
         case GGML_OP_TRI:
@@ -1128,6 +1138,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
         case GGML_OP_ARGSORT:
         case GGML_OP_TOP_K:
         case GGML_OP_ARANGE:
+        case GGML_OP_ROLL:
             return true;
         case GGML_OP_FLASH_ATTN_EXT:
             // for new head sizes, add checks here
@@ -1143,12 +1154,30 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                 op->src[0]->ne[0] != 192 &&
                 op->src[0]->ne[0] != 256 &&
                 op->src[0]->ne[0] != 320 &&
+                op->src[0]->ne[0] != 512 &&
                 op->src[0]->ne[0] != 576) {
                 return false;
             }
             if (op->src[1]->type != op->src[2]->type) {
                 return false;
             }
+            switch (op->src[1]->type) {
+                case GGML_TYPE_F32:
+                case GGML_TYPE_F16:
+                case GGML_TYPE_Q8_0:
+                case GGML_TYPE_Q4_0:
+                case GGML_TYPE_Q4_1:
+                case GGML_TYPE_Q5_0:
+                case GGML_TYPE_Q5_1:
+                    break;
+                case GGML_TYPE_BF16:
+                    if (!has_bfloat) {
+                        return false;
+                    }
+                    break;
+                default:
+                    return false;
+            }
             return has_simdgroup_mm; // TODO: over-restricted for vec-kernels
         case GGML_OP_SSM_CONV:
         case GGML_OP_SSM_SCAN:
@@ -1174,6 +1203,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                            case GGML_TYPE_F16:
                            case GGML_TYPE_BF16:
                            case GGML_TYPE_Q8_0:
+                           case GGML_TYPE_Q1_0:
                            case GGML_TYPE_Q4_0:
                            case GGML_TYPE_Q4_1:
                            case GGML_TYPE_Q5_0:
@@ -1200,6 +1230,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                             default:
                                 return false;
                         }
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
diff --git a/ggml/src/ggml-metal/ggml-metal-impl.h b/ggml/src/ggml-metal/ggml-metal-impl.h
index 53437b23cda7bf818bccf70e8fa015d2fa653309..379a8b33a143e82bfb12c6614b6b1099c8b29bab 100644
--- a/ggml/src/ggml-metal/ggml-metal-impl.h
+++ b/ggml/src/ggml-metal/ggml-metal-impl.h
@@ -8,6 +8,9 @@
 //
 // TODO: for optimal performance, become function of the device and work size
 
+#define N_R0_Q1_0 8
+#define N_SG_Q1_0 2
+
 #define N_R0_Q4_0 4
 #define N_SG_Q4_0 2
 
@@ -120,6 +123,11 @@
 #define OP_UNARY_NUM_EXP         114
 #define OP_UNARY_NUM_SOFTPLUS    115
 #define OP_UNARY_NUM_EXPM1       116
+#define OP_UNARY_NUM_FLOOR       117
+#define OP_UNARY_NUM_CEIL        118
+#define OP_UNARY_NUM_ROUND       119
+#define OP_UNARY_NUM_TRUNC       120
+#define OP_UNARY_NUM_XIELU       121
 
 #define OP_SUM_ROWS_NUM_SUM_ROWS 10
 #define OP_SUM_ROWS_NUM_MEAN     11
@@ -643,6 +651,42 @@ typedef struct {
     int32_t  KHW; // KH * KW, pre-computed on CPU to save GPU resources
 } ggml_metal_kargs_im2col;
 
+typedef struct {
+    int32_t  IW;
+    int32_t  IH;
+    int32_t  ID;
+    int32_t  OW;
+    int32_t  OH;
+    int32_t  OD;
+    int32_t  KW;
+    int32_t  KH;
+    int32_t  KD;
+    int32_t  s0;
+    int32_t  s1;
+    int32_t  s2;
+    int32_t  p0;
+    int32_t  p1;
+    int32_t  p2;
+    int32_t  d0;
+    int32_t  d1;
+    int32_t  d2;
+    int32_t  IC;
+    int32_t  N;
+    int32_t  OC;
+    uint64_t nb00;
+    uint64_t nb01;
+    uint64_t nb02;
+    uint64_t nb03;
+    uint64_t nb10;
+    uint64_t nb11;
+    uint64_t nb12;
+    uint64_t nb13;
+    uint64_t nb0;
+    uint64_t nb1;
+    uint64_t nb2;
+    uint64_t nb3;
+} ggml_metal_kargs_conv_3d;
+
 typedef struct{
     int32_t  ne00;
     uint64_t nb01;
@@ -973,6 +1017,29 @@ typedef struct {
     int32_t  p1;
 } ggml_metal_kargs_pad_reflect_1d;
 
+typedef struct {
+    int64_t  ne00;
+    int64_t  ne01;
+    int64_t  ne02;
+    int64_t  ne03;
+    uint64_t nb00;
+    uint64_t nb01;
+    uint64_t nb02;
+    uint64_t nb03;
+    int64_t  ne0;
+    int64_t  ne1;
+    int64_t  ne2;
+    int64_t  ne3;
+    uint64_t nb0;
+    uint64_t nb1;
+    uint64_t nb2;
+    uint64_t nb3;
+    int32_t  s0;
+    int32_t  s1;
+    int32_t  s2;
+    int32_t  s3;
+} ggml_metal_kargs_roll;
+
 typedef struct {
     uint64_t nb1;
     int      dim;
diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp
index c0bcad392b9440ba18f2d82c57865c0ed50f7f2d..e173527909ad2fa0f597288cb4894b4f732d0abc 100644
--- a/ggml/src/ggml-metal/ggml-metal-ops.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp
@@ -394,6 +394,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) {
             {
                 n_fuse = ggml_metal_op_conv_transpose_2d(ctx, idx);
             } break;
+        case GGML_OP_CONV_3D:
+            {
+                n_fuse = ggml_metal_op_conv_3d(ctx, idx);
+            } break;
         case GGML_OP_UPSCALE:
             {
                 n_fuse = ggml_metal_op_upscale(ctx, idx);
@@ -406,6 +410,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) {
             {
                 n_fuse = ggml_metal_op_pad_reflect_1d(ctx, idx);
             } break;
+        case GGML_OP_ROLL:
+            {
+                n_fuse = ggml_metal_op_roll(ctx, idx);
+            } break;
         case GGML_OP_ARANGE:
             {
                 n_fuse = ggml_metal_op_arange(ctx, idx);
@@ -783,6 +791,13 @@ int ggml_metal_op_unary(ggml_metal_op_t ctx, int idx) {
         args.max = ggml_get_op_params_f32(op, 1);
     }
 
+    if (op->op == GGML_OP_UNARY && ggml_get_unary_op(op) == GGML_UNARY_OP_XIELU) {
+        args.slope = ggml_get_op_params_f32(op, 1); // alpha_n
+        args.scale = ggml_get_op_params_f32(op, 2); // alpha_p
+        args.bias  = ggml_get_op_params_f32(op, 3); // beta
+        args.val   = ggml_get_op_params_f32(op, 4); // eps
+    }
+
     auto pipeline = ggml_metal_library_get_pipeline_unary(lib, op);
 
     if (pipeline.c4) {
@@ -2043,6 +2058,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) {
            op->src[0]->type == GGML_TYPE_F32  || // TODO: helper function
            op->src[0]->type == GGML_TYPE_F16  ||
            op->src[0]->type == GGML_TYPE_BF16 ||
+           op->src[0]->type == GGML_TYPE_Q1_0 ||
            op->src[0]->type == GGML_TYPE_Q4_0 ||
            op->src[0]->type == GGML_TYPE_Q4_1 ||
            op->src[0]->type == GGML_TYPE_Q5_0 ||
@@ -3697,6 +3713,77 @@ int ggml_metal_op_conv_2d(ggml_metal_op_t ctx, int idx) {
     return 1;
 }
 
+int ggml_metal_op_conv_3d(ggml_metal_op_t ctx, int idx) {
+    ggml_tensor * op = ctx->node(idx);
+
+    ggml_metal_library_t lib = ctx->lib;
+    ggml_metal_encoder_t enc = ctx->enc;
+
+    // 1. Extract standard dimensions and byte strides
+    GGML_TENSOR_LOCALS(uint64_t, nb0, op->src[0], nb);
+    GGML_TENSOR_LOCALS(uint64_t, nb1, op->src[1], nb);
+    GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
+
+    // 2. Extract hyperparams from op_params
+    const int32_t s0 = ((const int32_t *)(op->op_params))[0];
+    const int32_t s1 = ((const int32_t *)(op->op_params))[1];
+    const int32_t s2 = ((const int32_t *)(op->op_params))[2];
+    const int32_t p0 = ((const int32_t *)(op->op_params))[3];
+    const int32_t p1 = ((const int32_t *)(op->op_params))[4];
+    const int32_t p2 = ((const int32_t *)(op->op_params))[5];
+    const int32_t d0 = ((const int32_t *)(op->op_params))[6];
+    const int32_t d1 = ((const int32_t *)(op->op_params))[7];
+    const int32_t d2 = ((const int32_t *)(op->op_params))[8];
+    const int32_t IC = ((const int32_t *)(op->op_params))[9];
+    const int32_t N  = ((const int32_t *)(op->op_params))[10];
+    const int32_t OC = ((const int32_t *)(op->op_params))[11];
+
+    // 3. Build the parameter struct using the macro-generated variables
+    ggml_metal_kargs_conv_3d args = {
+        /*.IW =*/ (int32_t)op->src[1]->ne[0],
+        /*.IH =*/ (int32_t)op->src[1]->ne[1],
+        /*.ID =*/ (int32_t)op->src[1]->ne[2],
+        /*.OW =*/ (int32_t)op->ne[0],
+        /*.OH =*/ (int32_t)op->ne[1],
+        /*.OD =*/ (int32_t)op->ne[2],
+        /*.KW =*/ (int32_t)op->src[0]->ne[0],
+        /*.KH =*/ (int32_t)op->src[0]->ne[1],
+        /*.KD =*/ (int32_t)op->src[0]->ne[2],
+        s0, s1, s2,
+        p0, p1, p2,
+        d0, d1, d2,
+        IC, N, OC,
+        nb00, nb01, nb02, nb03, // Weight strides
+        nb10, nb11, nb12, nb13, // Input strides
+        nb0,  nb1,  nb2,  nb3   // Output strides
+    };
+
+    // 4. Fetch the JIT pipeline
+    auto pipeline = ggml_metal_library_get_pipeline_conv_3d(lib, op);
+
+    // 5. Grid mapping
+    int nth0 = 32; // Standard SIMD width for Apple Silicon
+    int nth1 = 1;
+    int nth2 = 1;
+
+    int64_t spatial_volume = args.OW * args.OH * args.OD;
+
+    int ntg0 = (spatial_volume + nth0 - 1) / nth0;
+    int ntg1 = args.OC;
+    int ntg2 = args.N;
+
+    // 6. Bind and Dispatch via the ggml C wrapper
+    ggml_metal_encoder_set_pipeline(enc, pipeline);
+    ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args), 0);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[0]), 1);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[1]), 2);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op),         3);
+
+    ggml_metal_encoder_dispatch_threadgroups(enc, ntg0, ntg1, ntg2, nth0, nth1, nth2);
+
+    return 1;
+}
+
 int ggml_metal_op_conv_transpose_1d(ggml_metal_op_t ctx, int idx) {
     ggml_tensor * op = ctx->node(idx);
 
@@ -3862,6 +3949,59 @@ int ggml_metal_op_upscale(ggml_metal_op_t ctx, int idx) {
     return 1;
 }
 
+int ggml_metal_op_roll(ggml_metal_op_t ctx, int idx) {
+    ggml_tensor * op = ctx->node(idx);
+
+    ggml_metal_library_t lib = ctx->lib;
+    ggml_metal_encoder_t enc = ctx->enc;
+
+    GGML_TENSOR_LOCALS( int32_t, ne0, op->src[0], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb0, op->src[0], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne,  op,         ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
+
+    const int32_t s0 = ggml_get_op_params_i32(op, 0);
+    const int32_t s1 = ggml_get_op_params_i32(op, 1);
+    const int32_t s2 = ggml_get_op_params_i32(op, 2);
+    const int32_t s3 = ggml_get_op_params_i32(op, 3);
+
+    ggml_metal_kargs_roll args = {
+        /*.ne00 =*/ ne00,
+        /*.ne01 =*/ ne01,
+        /*.ne02 =*/ ne02,
+        /*.ne03 =*/ ne03,
+        /*.nb00 =*/ nb00,
+        /*.nb01 =*/ nb01,
+        /*.nb02 =*/ nb02,
+        /*.nb03 =*/ nb03,
+        /*.ne0  =*/ ne0,
+        /*.ne1  =*/ ne1,
+        /*.ne2  =*/ ne2,
+        /*.ne3  =*/ ne3,
+        /*.nb0  =*/ nb0,
+        /*.nb1  =*/ nb1,
+        /*.nb2  =*/ nb2,
+        /*.nb3  =*/ nb3,
+        /*.s0   =*/ s0,
+        /*.s1   =*/ s1,
+        /*.s2   =*/ s2,
+        /*.s3   =*/ s3
+    };
+
+    auto pipeline = ggml_metal_library_get_pipeline_roll(lib, op);
+
+    const int nth = std::min(1024, ne0);
+
+    ggml_metal_encoder_set_pipeline(enc, pipeline);
+    ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args), 0);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[0]), 1);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op),         2);
+
+    ggml_metal_encoder_dispatch_threadgroups(enc, ne1, ne2, ne3, nth, 1, 1);
+
+    return 1;
+}
+
 int ggml_metal_op_pad(ggml_metal_op_t ctx, int idx) {
     ggml_tensor * op = ctx->node(idx);
 
diff --git a/ggml/src/ggml-metal/ggml-metal-ops.h b/ggml/src/ggml-metal/ggml-metal-ops.h
index 019f2fec9edded7c9a74d35f27e9d5b94603e662..36c61071b4faf7db79401c32ca3968e21b5a703a 100644
--- a/ggml/src/ggml-metal/ggml-metal-ops.h
+++ b/ggml/src/ggml-metal/ggml-metal-ops.h
@@ -75,11 +75,13 @@ int ggml_metal_op_norm              (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_rope              (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_im2col            (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_conv_2d           (ggml_metal_op_t ctx, int idx);
+int ggml_metal_op_conv_3d           (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_conv_transpose_1d (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_conv_transpose_2d (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_upscale           (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_pad               (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_pad_reflect_1d    (ggml_metal_op_t ctx, int idx);
+int ggml_metal_op_roll              (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_arange            (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_timestep_embedding(ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_argmax            (ggml_metal_op_t ctx, int idx);
diff --git a/ggml/src/ggml-metal/ggml-metal.cpp b/ggml/src/ggml-metal/ggml-metal.cpp
index 9382ce53b36322e52920ee7952f406657c3a8613..4dbf8e6fea915ec9cc46e80f69aeb6831cb84de8 100644
--- a/ggml/src/ggml-metal/ggml-metal.cpp
+++ b/ggml/src/ggml-metal/ggml-metal.cpp
@@ -90,6 +90,8 @@ static ggml_backend_buffer_i ggml_backend_metal_buffer_shared_i = {
     /* .memset_tensor   = */ ggml_backend_metal_buffer_shared_memset_tensor,
     /* .set_tensor      = */ ggml_backend_metal_buffer_shared_set_tensor,
     /* .get_tensor      = */ ggml_backend_metal_buffer_shared_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_metal_buffer_shared_cpy_tensor,
     /* .clear           = */ ggml_backend_metal_buffer_shared_clear,
     /* .reset           = */ NULL,
@@ -158,15 +160,17 @@ static void ggml_backend_metal_buffer_private_clear(ggml_backend_buffer_t buffer
 }
 
 static ggml_backend_buffer_i ggml_backend_metal_buffer_private_i = {
-    /* .free_buffer     = */ ggml_backend_metal_buffer_private_free_buffer,
-    /* .get_base        = */ ggml_backend_metal_buffer_private_get_base,
-    /* .init_tensor     = */ NULL,
-    /* .memset_tensor   = */ ggml_backend_metal_buffer_private_memset_tensor,
-    /* .set_tensor      = */ ggml_backend_metal_buffer_private_set_tensor,
-    /* .get_tensor      = */ ggml_backend_metal_buffer_private_get_tensor,
-    /* .cpy_tensor      = */ ggml_backend_metal_buffer_private_cpy_tensor,
-    /* .clear           = */ ggml_backend_metal_buffer_private_clear,
-    /* .reset           = */ NULL,
+    /* .free_buffer             = */ ggml_backend_metal_buffer_private_free_buffer,
+    /* .get_base                = */ ggml_backend_metal_buffer_private_get_base,
+    /* .init_tensor             = */ NULL,
+    /* .memset_tensor           = */ ggml_backend_metal_buffer_private_memset_tensor,
+    /* .set_tensor              = */ ggml_backend_metal_buffer_private_set_tensor,
+    /* .get_tensor              = */ ggml_backend_metal_buffer_private_get_tensor,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .cpy_tensor              = */ ggml_backend_metal_buffer_private_cpy_tensor,
+    /* .clear                   = */ ggml_backend_metal_buffer_private_clear,
+    /* .reset                   = */ NULL,
 };
 
 static bool ggml_backend_buffer_is_metal(ggml_backend_buffer_t buffer) {
@@ -563,6 +567,8 @@ static ggml_backend_i ggml_backend_metal_i = {
     /* .free                    = */ ggml_backend_metal_free,
     /* .set_tensor_async        = */ ggml_backend_metal_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_metal_get_tensor_async,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ ggml_backend_metal_cpy_tensor_async, // only needed for multi-GPU setups
     /* .synchronize             = */ ggml_backend_metal_synchronize,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal
index b2328605dd956177d5c297d6d254696dac2e3103..9f38c9d2968f2f1fd8400c90f6457c27b293824f 100644
--- a/ggml/src/ggml-metal/ggml-metal.metal
+++ b/ggml/src/ggml-metal/ggml-metal.metal
@@ -118,6 +118,56 @@ void dequantize_bf16_t4(device const bfloat4 * src, short il, thread type4 & reg
 }
 #endif
 
+template <typename type4x4>
+void dequantize_q1_0(device const block_q1_0 * xb, short il, thread type4x4 & reg) {
+    device const uint8_t * qs = xb->qs;
+    const float d = xb->d;
+    const float neg_d = -d;
+
+    const int byte_offset = il * 2;  // il*16 bits = il*2 bytes
+    const uint8_t b0 = qs[byte_offset];
+    const uint8_t b1 = qs[byte_offset + 1];
+
+    float4x4 reg_f;
+
+    reg_f[0][0] = select(neg_d, d, bool(b0 & 0x01));
+    reg_f[0][1] = select(neg_d, d, bool(b0 & 0x02));
+    reg_f[0][2] = select(neg_d, d, bool(b0 & 0x04));
+    reg_f[0][3] = select(neg_d, d, bool(b0 & 0x08));
+    reg_f[1][0] = select(neg_d, d, bool(b0 & 0x10));
+    reg_f[1][1] = select(neg_d, d, bool(b0 & 0x20));
+    reg_f[1][2] = select(neg_d, d, bool(b0 & 0x40));
+    reg_f[1][3] = select(neg_d, d, bool(b0 & 0x80));
+
+    reg_f[2][0] = select(neg_d, d, bool(b1 & 0x01));
+    reg_f[2][1] = select(neg_d, d, bool(b1 & 0x02));
+    reg_f[2][2] = select(neg_d, d, bool(b1 & 0x04));
+    reg_f[2][3] = select(neg_d, d, bool(b1 & 0x08));
+    reg_f[3][0] = select(neg_d, d, bool(b1 & 0x10));
+    reg_f[3][1] = select(neg_d, d, bool(b1 & 0x20));
+    reg_f[3][2] = select(neg_d, d, bool(b1 & 0x40));
+    reg_f[3][3] = select(neg_d, d, bool(b1 & 0x80));
+
+    reg = (type4x4) reg_f;
+}
+
+template <typename type4>
+void dequantize_q1_0_t4(device const block_q1_0 * xb, short il, thread type4 & reg) {
+    const float d = xb->d;
+    const float neg_d = -d;
+    const int base = il * 4;
+    const uint8_t byte = xb->qs[base / 8];
+    const int s = base % 8;
+
+    float4 reg_f;
+    reg_f[0] = select(neg_d, d, bool((byte >> (s    )) & 1));
+    reg_f[1] = select(neg_d, d, bool((byte >> (s + 1)) & 1));
+    reg_f[2] = select(neg_d, d, bool((byte >> (s + 2)) & 1));
+    reg_f[3] = select(neg_d, d, bool((byte >> (s + 3)) & 1));
+
+    reg = (type4) reg_f;
+}
+
 template <typename type4x4>
 void dequantize_q4_0(device const block_q4_0 * xb, short il, thread type4x4 & reg) {
     device const uint16_t * qs = ((device const uint16_t *)xb + 1);
@@ -152,6 +202,23 @@ void dequantize_q4_0_t4(device const block_q4_0 * xb, short il, thread type4 & r
     }
 }
 
+void quantize_q1_0(device const float * src, device block_q1_0 & dst) {
+    float sum_abs = 0.0f;
+    for (int j = 0; j < QK1_0; j++) {
+        sum_abs += fabs(src[j]);
+    }
+    dst.d = sum_abs / QK1_0;
+
+    for (int j = 0; j < QK1_0 / 8; j++) {
+        dst.qs[j] = 0;
+    }
+    for (int j = 0; j < QK1_0; j++) {
+        if (src[j] >= 0.0f) {
+            dst.qs[j / 8] |= (1 << (j % 8));
+        }
+    }
+}
+
 void quantize_q4_0(device const float * src, device block_q4_0 & dst) {
 #pragma METAL fp math_mode(safe)
     float amax = 0.0f; // absolute max
@@ -1094,6 +1161,31 @@ kernel void kernel_unary_impl(
             // TODO: precise implementation
             dst_ptr[i0] = (T) (exp(x) - 1);
         }
+
+        if (FC_OP == OP_UNARY_NUM_FLOOR) {
+            dst_ptr[i0] = (T) floor(x);
+        }
+
+        if (FC_OP == OP_UNARY_NUM_CEIL) {
+            dst_ptr[i0] = (T) ceil(x);
+        }
+
+        if (FC_OP == OP_UNARY_NUM_ROUND) {
+            dst_ptr[i0] = (T) round(x);
+        }
+
+        if (FC_OP == OP_UNARY_NUM_TRUNC) {
+            dst_ptr[i0] = (T) trunc(x);
+        }
+
+        if (FC_OP == OP_UNARY_NUM_XIELU) {
+            const TC xi      = x;
+            const TC gate    = TC(xi > TC(0.0f));
+            const TC clamped = fmin(xi, TC(args.val));
+            const TC y_pos   = TC(args.scale) * xi * xi + TC(args.bias) * xi;
+            const TC y_neg   = (exp(clamped) - TC(1.0f) - xi) * TC(args.slope) + TC(args.bias) * xi;
+            dst_ptr[i0] = (T) (gate * y_pos + (TC(1.0f) - gate) * y_neg);
+        }
     }
 
 #undef FC_OP
@@ -3100,6 +3192,35 @@ kernel void kernel_group_norm_f32(
     }
 }
 
+// Q1_0 dot product: dot = d * (2 * Σ(yl[i] where bit=1) - sumy)
+inline float block_q_n_dot_y(device const block_q1_0 * qb_curr, float sumy, thread float * yl, int il) {
+    device const uint8_t * qs = qb_curr->qs + il / 8;
+    const uint8_t b0 = qs[0];
+    const uint8_t b1 = qs[1];
+
+    float acc = 0.0f;
+
+    acc += select(0.0f, yl[ 0], bool(b0 & 0x01));
+    acc += select(0.0f, yl[ 1], bool(b0 & 0x02));
+    acc += select(0.0f, yl[ 2], bool(b0 & 0x04));
+    acc += select(0.0f, yl[ 3], bool(b0 & 0x08));
+    acc += select(0.0f, yl[ 4], bool(b0 & 0x10));
+    acc += select(0.0f, yl[ 5], bool(b0 & 0x20));
+    acc += select(0.0f, yl[ 6], bool(b0 & 0x40));
+    acc += select(0.0f, yl[ 7], bool(b0 & 0x80));
+
+    acc += select(0.0f, yl[ 8], bool(b1 & 0x01));
+    acc += select(0.0f, yl[ 9], bool(b1 & 0x02));
+    acc += select(0.0f, yl[10], bool(b1 & 0x04));
+    acc += select(0.0f, yl[11], bool(b1 & 0x08));
+    acc += select(0.0f, yl[12], bool(b1 & 0x10));
+    acc += select(0.0f, yl[13], bool(b1 & 0x20));
+    acc += select(0.0f, yl[14], bool(b1 & 0x40));
+    acc += select(0.0f, yl[15], bool(b1 & 0x80));
+
+    return qb_curr->d * (2.0f * acc - sumy);
+}
+
 // function for calculate inner product between half a q4_0 block and 16 floats (yl), sumy is SUM(yl[i])
 // il indicates where the q4 quants begin (0 or QK4_0/4)
 // we assume that the yl's have been multiplied with the appropriate scale factor
@@ -3321,6 +3442,85 @@ void mul_vec_q_n_f32_impl(
     }
 }
 
+template<int nr0, typename args_t>
+void kernel_mul_mv_q1_0_f32_impl(
+        args_t args,
+        device const char * src0,
+        device const char * src1,
+        device       char * dst,
+        threadgroup  char * shmem,
+        uint3  tgpig,
+        ushort tiisg,
+        ushort sgitg) {
+    const short NSG = FC_mul_mv_nsg;
+
+    const int nb = args.ne00/QK1_0;
+
+    const int r0 = tgpig.x;
+    const int r1 = tgpig.y;
+    const int im = tgpig.z;
+
+    const int first_row = (r0 * NSG + sgitg) * nr0;
+
+    const uint i12 = im%args.ne12;
+    const uint i13 = im/args.ne12;
+
+    const uint64_t offset1 = r1*args.nb11 + (i12)*args.nb12 + (i13)*args.nb13;
+
+    device const float * y = (device const float *) (src1 + offset1);
+
+    device const block_q1_0 * ax[nr0];
+    for (int row = 0; row < nr0; ++row) {
+        const uint64_t offset0 = (first_row + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03;
+        ax[row] = (device const block_q1_0 *) ((device char *) src0 + offset0);
+    }
+
+    float yl[16];
+    float sumf[nr0] = {0.f};
+
+    const short ix = (tiisg/8);
+    const short il = (tiisg%8)*16;
+
+    device const float * yb = y + ix*QK1_0 + il;
+
+    for (int ib = ix; ib < nb; ib += N_SIMDWIDTH/8) {
+        float sumy = 0.f;
+
+        FOR_UNROLL (short i = 0; i < 16; i++) {
+            yl[i] = yb[i];
+            sumy += yb[i];
+        }
+
+        FOR_UNROLL (short row = 0; row < nr0; row++) {
+            sumf[row] += block_q_n_dot_y(ax[row] + ib, sumy, yl, il);
+        }
+
+        yb += QK1_0 * (N_SIMDWIDTH/8);
+    }
+
+    device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0;
+
+    for (int row = 0; row < nr0; ++row) {
+        const float tot = simd_sum(sumf[row]);
+
+        if (tiisg == 0 && first_row + row < args.ne01) {
+            dst_f32[first_row + row] = tot;
+        }
+    }
+}
+
+[[host_name("kernel_mul_mv_q1_0_f32")]]
+kernel void kernel_mul_mv_q1_0_f32(
+        constant ggml_metal_kargs_mul_mv & args,
+        device const char * src0,
+        device const char * src1,
+        device       char * dst,
+        uint3  tgpig[[threadgroup_position_in_grid]],
+        ushort tiisg[[thread_index_in_simdgroup]],
+        ushort sgitg[[simdgroup_index_in_threadgroup]]) {
+    kernel_mul_mv_q1_0_f32_impl<N_R0_Q1_0, constant ggml_metal_kargs_mul_mv &>(args, src0, src1, dst, nullptr, tgpig, tiisg, sgitg);
+}
+
 kernel void kernel_mul_mv_q4_0_f32(
         constant ggml_metal_kargs_mul_mv & args,
         device const char * src0,
@@ -3713,6 +3913,11 @@ template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_4")]]   kernel mul_mv_ext_q4
 template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_5")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, bfloat4,      4,  dequantize_bf16_t4>;
 #endif
 
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_2")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q1_0,   128, dequantize_q1_0_t4>;
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_3")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q1_0,   128, dequantize_q1_0_t4>;
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_4")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q1_0,   128, dequantize_q1_0_t4>;
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_5")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, block_q1_0,   128, dequantize_q1_0_t4>;
+
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_2")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q4_0,   32, dequantize_q4_0_t4>;
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_3")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q4_0,   32, dequantize_q4_0_t4>;
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_4")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q4_0,   32, dequantize_q4_0_t4>;
@@ -4883,6 +5088,98 @@ kernel void kernel_upscale_bilinear_f32(
     }
 }
 
+template <typename T>
+kernel void kernel_conv_3d(
+        constant ggml_metal_kargs_conv_3d & args,
+        device const  char * src0, // Weights [IC * OC, KD, KH, KW]
+        device const  char * src1, // Inputs  [IC * N,  ID, IH, IW]
+        device       char  * dst,  // Outputs [OC * N,  OD, OH, OW]
+        uint3 tgpig[[threadgroup_position_in_grid]],
+        uint3 tpitg[[thread_position_in_threadgroup]]) {
+
+    // 1. Un-flatten the spatial dimension from Grid X
+    int64_t spatial_idx = tgpig.x * 32 + tpitg.x;
+
+    if (spatial_idx >= args.OW * args.OH * args.OD) {
+        return; // Thread falls outside the spatial volume
+    }
+
+    int64_t od = spatial_idx / (args.OW * args.OH);
+    int64_t oh = (spatial_idx / args.OW) % args.OH;
+    int64_t ow = spatial_idx % args.OW;
+
+    // 2. Map Y to Channels, Z to Batch
+    int64_t oc = tgpig.y;
+    int64_t batch_idx = tgpig.z;
+
+    // 3. Calculate anchor coordinates in the Input volume
+    int64_t i_w_base = ow * args.s0 - args.p0;
+    int64_t i_h_base = oh * args.s1 - args.p1;
+    int64_t i_d_base = od * args.s2 - args.p2;
+
+    float sum = 0.0f;
+
+    // 4. Gather Loop (Iterate over Input Channels -> Depth -> Height -> Width)
+    for (int64_t ic = 0; ic < args.IC; ++ic) {
+
+        // ggml packs batch and channel together in the 4th dimension
+        int64_t src_cn_idx = batch_idx * args.IC + ic;
+        int64_t w_cn_idx   = oc * args.IC + ic;
+
+        for (int64_t kz = 0; kz < args.KD; ++kz) {
+            int64_t id = i_d_base + kz * args.d2;
+            if (id < 0 || id >= args.ID) continue; // Boundary check (Padding)
+
+            for (int64_t ky = 0; ky < args.KH; ++ky) {
+                int64_t ih = i_h_base + ky * args.d1;
+                if (ih < 0 || ih >= args.IH) continue;
+
+                for (int64_t kx = 0; kx < args.KW; ++kx) {
+                    int64_t iw = i_w_base + kx * args.d0;
+                    if (iw < 0 || iw >= args.IW) continue;
+
+                    // Convert multi-dimensional coordinates to flat byte offsets
+                    int64_t w_idx = kx*args.nb00 + ky*args.nb01 + kz*args.nb02 + w_cn_idx*args.nb03;
+                    int64_t i_idx = iw*args.nb10 + ih*args.nb11 + id*args.nb12 + src_cn_idx*args.nb13;
+
+                    // Dereference memory and cast weights to f32 if they were f16
+                    float w_val = (float)*(device const T*)((device const char*)src0 + w_idx);
+                    float i_val = *(device const float*)((device const char*)src1 + i_idx);
+
+                    sum += w_val * i_val;
+                }
+            }
+        }
+    }
+
+    // 5. Write the accumulated value out to RAM
+    int64_t dst_cn_idx = batch_idx * args.OC + oc;
+    int64_t d_idx = ow*args.nb0 + oh*args.nb1 + od*args.nb2 + dst_cn_idx*args.nb3;
+
+    *(device float*)(dst + d_idx) = sum;
+}
+
+// Explicit instantiations so the JIT compiler can find them by name
+template [[host_name("kernel_conv_3d_f32_f32")]]
+kernel void kernel_conv_3d<float>(
+    constant ggml_metal_kargs_conv_3d & args,
+    device const char * src0,
+    device const char * src1,
+    device       char  * dst,
+    uint3 tgpig[[threadgroup_position_in_grid]],
+    uint3 tpitg[[thread_position_in_threadgroup]]);
+
+// Explicit instantiation for f16 weights
+template [[host_name("kernel_conv_3d_f16_f32")]]
+kernel void kernel_conv_3d<half>(
+    constant ggml_metal_kargs_conv_3d & args,
+    device const char  * src0,
+    device const char * src1,
+    device       char  * dst,
+    uint3 tgpig[[threadgroup_position_in_grid]],
+    uint3 tpitg[[thread_position_in_threadgroup]]);
+
+
 static inline float bicubic_weight1(float x) {
     const float a = -0.75f;
     return ((a + 2) * x - (a + 3)) * x * x + 1;
@@ -4950,6 +5247,40 @@ kernel void kernel_upscale_bicubic_f32(
     }
 }
 
+kernel void kernel_roll_f32(
+    constant ggml_metal_kargs_roll & args,
+    device  const char * src0,
+    device        char * dst,
+    uint3 tgpig[[threadgroup_position_in_grid]],
+    uint3 tpitg[[thread_position_in_threadgroup]],
+    uint3   ntg[[threads_per_threadgroup]]) {
+
+    const int64_t i3 = tgpig.z;
+    const int64_t i2 = tgpig.y;
+    const int64_t i1 = tgpig.x;
+
+    device const float * src0_ptr = (device const float *) src0;
+    device       float * dst_ptr  = (device       float *) dst;
+
+    for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
+        // apply shifts and wrap around
+        int64_t i00 = i0 - args.s0;
+        int64_t i01 = i1 - args.s1;
+        int64_t i02 = i2 - args.s2;
+        int64_t i03 = i3 - args.s3;
+
+        if (i00 < 0) { i00 += args.ne00; } else if (i00 >= args.ne00) { i00 -= args.ne00; }
+        if (i01 < 0) { i01 += args.ne01; } else if (i01 >= args.ne01) { i01 -= args.ne01; }
+        if (i02 < 0) { i02 += args.ne02; } else if (i02 >= args.ne02) { i02 -= args.ne02; }
+        if (i03 < 0) { i03 += args.ne03; } else if (i03 >= args.ne03) { i03 -= args.ne03; }
+
+        int64_t src_idx = i03*args.ne02*args.ne01*args.ne00 + i02*args.ne01*args.ne00 + i01*args.ne00 + i00;
+        int64_t dst_idx = i3 *args.ne2 *args.ne1 *args.ne0  + i2 *args.ne1 *args.ne0  + i1 *args.ne0  + i0;
+
+        dst_ptr[dst_idx] = src0_ptr[src_idx];
+    }
+}
+
 kernel void kernel_pad_f32(
     constant ggml_metal_kargs_pad & args,
     device  const char * src0,
@@ -6177,6 +6508,7 @@ template [[host_name("kernel_flash_attn_ext_f32_dk192_dv192")]]  kernel flash_at
 template [[host_name("kernel_flash_attn_ext_f32_dk192_dv128")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_F32, float4x4,   1, dequantize_f32,  float4x4,   1, dequantize_f32,  192, 128>;
 template [[host_name("kernel_flash_attn_ext_f32_dk256_dv256")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_F32, float4x4,   1, dequantize_f32,  float4x4,   1, dequantize_f32,  256, 256>;
 template [[host_name("kernel_flash_attn_ext_f32_dk320_dv256")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_F32, float4x4,   1, dequantize_f32,  float4x4,   1, dequantize_f32,  320, 256>;
+template [[host_name("kernel_flash_attn_ext_f32_dk512_dv512")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_F32, float4x4,   1, dequantize_f32,  float4x4,   1, dequantize_f32,  512, 512>;
 template [[host_name("kernel_flash_attn_ext_f32_dk576_dv512")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_F32, float4x4,   1, dequantize_f32,  float4x4,   1, dequantize_f32,  576, 512>;
 
 template [[host_name("kernel_flash_attn_ext_f16_dk32_dv32"  )]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    half4x4,    1, dequantize_f16,  half4x4,    1, dequantize_f16,  32,  32>;
@@ -6192,6 +6524,7 @@ template [[host_name("kernel_flash_attn_ext_f16_dk192_dv192")]]  kernel flash_at
 template [[host_name("kernel_flash_attn_ext_f16_dk192_dv128")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    half4x4,    1, dequantize_f16,  half4x4,    1, dequantize_f16,  192, 128>;
 template [[host_name("kernel_flash_attn_ext_f16_dk256_dv256")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    half4x4,    1, dequantize_f16,  half4x4,    1, dequantize_f16,  256, 256>;
 template [[host_name("kernel_flash_attn_ext_f16_dk320_dv256")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    half4x4,    1, dequantize_f16,  half4x4,    1, dequantize_f16,  320, 256>;
+template [[host_name("kernel_flash_attn_ext_f16_dk512_dv512")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    half4x4,    1, dequantize_f16,  half4x4,    1, dequantize_f16,  512, 512>;
 template [[host_name("kernel_flash_attn_ext_f16_dk576_dv512")]]  kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    half4x4,    1, dequantize_f16,  half4x4,    1, dequantize_f16,  576, 512>;
 
 #if defined(GGML_METAL_HAS_BF16)
@@ -6208,6 +6541,7 @@ template [[host_name("kernel_flash_attn_ext_bf16_dk192_dv192")]] kernel flash_at
 template [[host_name("kernel_flash_attn_ext_bf16_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_BF, bfloat4x4,  1, dequantize_bf16, bfloat4x4,  1, dequantize_bf16, 192, 128>;
 template [[host_name("kernel_flash_attn_ext_bf16_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_BF, bfloat4x4,  1, dequantize_bf16, bfloat4x4,  1, dequantize_bf16, 256, 256>;
 template [[host_name("kernel_flash_attn_ext_bf16_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_BF, bfloat4x4,  1, dequantize_bf16, bfloat4x4,  1, dequantize_bf16, 320, 256>;
+template [[host_name("kernel_flash_attn_ext_bf16_dk512_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_BF, bfloat4x4,  1, dequantize_bf16, bfloat4x4,  1, dequantize_bf16, 512, 512>;
 template [[host_name("kernel_flash_attn_ext_bf16_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES_BF, bfloat4x4,  1, dequantize_bf16, bfloat4x4,  1, dequantize_bf16, 576, 512>;
 #endif
 
@@ -6224,6 +6558,7 @@ template [[host_name("kernel_flash_attn_ext_q4_0_dk192_dv192")]] kernel flash_at
 template [[host_name("kernel_flash_attn_ext_q4_0_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_0, 2, dequantize_q4_0, block_q4_0, 2, dequantize_q4_0, 192, 128>;
 template [[host_name("kernel_flash_attn_ext_q4_0_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_0, 2, dequantize_q4_0, block_q4_0, 2, dequantize_q4_0, 256, 256>;
 template [[host_name("kernel_flash_attn_ext_q4_0_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_0, 2, dequantize_q4_0, block_q4_0, 2, dequantize_q4_0, 320, 256>;
+template [[host_name("kernel_flash_attn_ext_q4_0_dk512_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_0, 2, dequantize_q4_0, block_q4_0, 2, dequantize_q4_0, 512, 512>;
 template [[host_name("kernel_flash_attn_ext_q4_0_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_0, 2, dequantize_q4_0, block_q4_0, 2, dequantize_q4_0, 576, 512>;
 
 template [[host_name("kernel_flash_attn_ext_q4_1_dk32_dv32"  )]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_1, 2, dequantize_q4_1, block_q4_1, 2, dequantize_q4_1, 32,  32>;
@@ -6239,6 +6574,7 @@ template [[host_name("kernel_flash_attn_ext_q4_1_dk192_dv192")]] kernel flash_at
 template [[host_name("kernel_flash_attn_ext_q4_1_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_1, 2, dequantize_q4_1, block_q4_1, 2, dequantize_q4_1, 192, 128>;
 template [[host_name("kernel_flash_attn_ext_q4_1_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_1, 2, dequantize_q4_1, block_q4_1, 2, dequantize_q4_1, 256, 256>;
 template [[host_name("kernel_flash_attn_ext_q4_1_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_1, 2, dequantize_q4_1, block_q4_1, 2, dequantize_q4_1, 320, 256>;
+template [[host_name("kernel_flash_attn_ext_q4_1_dk512_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_1, 2, dequantize_q4_1, block_q4_1, 2, dequantize_q4_1, 512, 512>;
 template [[host_name("kernel_flash_attn_ext_q4_1_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q4_1, 2, dequantize_q4_1, block_q4_1, 2, dequantize_q4_1, 576, 512>;
 
 template [[host_name("kernel_flash_attn_ext_q5_0_dk32_dv32"  )]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_0, 2, dequantize_q5_0, block_q5_0, 2, dequantize_q5_0, 32,  32>;
@@ -6254,6 +6590,7 @@ template [[host_name("kernel_flash_attn_ext_q5_0_dk192_dv192")]] kernel flash_at
 template [[host_name("kernel_flash_attn_ext_q5_0_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_0, 2, dequantize_q5_0, block_q5_0, 2, dequantize_q5_0, 192, 128>;
 template [[host_name("kernel_flash_attn_ext_q5_0_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_0, 2, dequantize_q5_0, block_q5_0, 2, dequantize_q5_0, 256, 256>;
 template [[host_name("kernel_flash_attn_ext_q5_0_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_0, 2, dequantize_q5_0, block_q5_0, 2, dequantize_q5_0, 320, 256>;
+template [[host_name("kernel_flash_attn_ext_q5_0_dk512_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_0, 2, dequantize_q5_0, block_q5_0, 2, dequantize_q5_0, 512, 512>;
 template [[host_name("kernel_flash_attn_ext_q5_0_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_0, 2, dequantize_q5_0, block_q5_0, 2, dequantize_q5_0, 576, 512>;
 
 template [[host_name("kernel_flash_attn_ext_q5_1_dk32_dv32"  )]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_1, 2, dequantize_q5_1, block_q5_1, 2, dequantize_q5_1, 32,  32>;
@@ -6269,6 +6606,7 @@ template [[host_name("kernel_flash_attn_ext_q5_1_dk192_dv192")]] kernel flash_at
 template [[host_name("kernel_flash_attn_ext_q5_1_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_1, 2, dequantize_q5_1, block_q5_1, 2, dequantize_q5_1, 192, 128>;
 template [[host_name("kernel_flash_attn_ext_q5_1_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_1, 2, dequantize_q5_1, block_q5_1, 2, dequantize_q5_1, 256, 256>;
 template [[host_name("kernel_flash_attn_ext_q5_1_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_1, 2, dequantize_q5_1, block_q5_1, 2, dequantize_q5_1, 320, 256>;
+template [[host_name("kernel_flash_attn_ext_q5_1_dk512_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_1, 2, dequantize_q5_1, block_q5_1, 2, dequantize_q5_1, 512, 512>;
 template [[host_name("kernel_flash_attn_ext_q5_1_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q5_1, 2, dequantize_q5_1, block_q5_1, 2, dequantize_q5_1, 576, 512>;
 
 template [[host_name("kernel_flash_attn_ext_q8_0_dk32_dv32"  )]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q8_0, 2, dequantize_q8_0, block_q8_0, 2, dequantize_q8_0, 32,  32>;
@@ -6284,6 +6622,7 @@ template [[host_name("kernel_flash_attn_ext_q8_0_dk192_dv192")]] kernel flash_at
 template [[host_name("kernel_flash_attn_ext_q8_0_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q8_0, 2, dequantize_q8_0, block_q8_0, 2, dequantize_q8_0, 192, 128>;
 template [[host_name("kernel_flash_attn_ext_q8_0_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q8_0, 2, dequantize_q8_0, block_q8_0, 2, dequantize_q8_0, 256, 256>;
 template [[host_name("kernel_flash_attn_ext_q8_0_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q8_0, 2, dequantize_q8_0, block_q8_0, 2, dequantize_q8_0, 320, 256>;
+template [[host_name("kernel_flash_attn_ext_q8_0_dk512_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q8_0, 2, dequantize_q8_0, block_q8_0, 2, dequantize_q8_0, 512, 512>;
 template [[host_name("kernel_flash_attn_ext_q8_0_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext<FA_TYPES,    block_q8_0, 2, dequantize_q8_0, block_q8_0, 2, dequantize_q8_0, 576, 512>;
 
 #undef FA_TYPES
@@ -6865,6 +7204,17 @@ template [[host_name("kernel_flash_attn_ext_vec_q5_0_dk320_dv256")]] kernel flas
 template [[host_name("kernel_flash_attn_ext_vec_q5_1_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q5_1, 8, dequantize_q5_1_t4, block_q5_1,  8, dequantize_q5_1_t4, 320, 256, 2>;
 template [[host_name("kernel_flash_attn_ext_vec_q8_0_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q8_0, 8, dequantize_q8_0_t4, block_q8_0,  8, dequantize_q8_0_t4, 320, 256, 2>;
 
+template [[host_name("kernel_flash_attn_ext_vec_f32_dk512_dv512")]]  kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES_F32, float4,     1, dequantize_f32_t4,  float4,      1, dequantize_f32_t4,  512, 512, 1>;
+template [[host_name("kernel_flash_attn_ext_vec_f16_dk512_dv512")]]  kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     half4,      1, dequantize_f16_t4,  half4,       1, dequantize_f16_t4,  512, 512, 1>;
+#if defined(GGML_METAL_HAS_BF16)
+template [[host_name("kernel_flash_attn_ext_vec_bf16_dk512_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     bfloat4,    1, dequantize_bf16_t4, bfloat4,     1, dequantize_bf16_t4, 512, 512, 1>;
+#endif
+template [[host_name("kernel_flash_attn_ext_vec_q4_0_dk512_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q4_0, 8, dequantize_q4_0_t4, block_q4_0,  8, dequantize_q4_0_t4, 512, 512, 1>;
+template [[host_name("kernel_flash_attn_ext_vec_q4_1_dk512_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q4_1, 8, dequantize_q4_1_t4, block_q4_1,  8, dequantize_q4_1_t4, 512, 512, 1>;
+template [[host_name("kernel_flash_attn_ext_vec_q5_0_dk512_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q5_0, 8, dequantize_q5_0_t4, block_q5_0,  8, dequantize_q5_0_t4, 512, 512, 1>;
+template [[host_name("kernel_flash_attn_ext_vec_q5_1_dk512_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q5_1, 8, dequantize_q5_1_t4, block_q5_1,  8, dequantize_q5_1_t4, 512, 512, 1>;
+template [[host_name("kernel_flash_attn_ext_vec_q8_0_dk512_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     block_q8_0, 8, dequantize_q8_0_t4, block_q8_0,  8, dequantize_q8_0_t4, 512, 512, 1>;
+
 template [[host_name("kernel_flash_attn_ext_vec_f32_dk576_dv512")]]  kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES_F32, float4,     1, dequantize_f32_t4,  float4,      1, dequantize_f32_t4,  576, 512, 2>;
 template [[host_name("kernel_flash_attn_ext_vec_f16_dk576_dv512")]]  kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec<FA_TYPES,     half4,      1, dequantize_f16_t4,  half4,       1, dequantize_f16_t4,  576, 512, 2>;
 #if defined(GGML_METAL_HAS_BF16)
@@ -7006,6 +7356,7 @@ kernel void kernel_cpy_f32_q(
 typedef decltype(kernel_cpy_f32_q<QK8_0,  block_q8_0,  quantize_q8_0>)  cpy_f_q_t;
 
 template [[host_name("kernel_cpy_f32_q8_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK8_0,  block_q8_0,   quantize_q8_0>;
+template [[host_name("kernel_cpy_f32_q1_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK1_0,  block_q1_0,   quantize_q1_0>;
 template [[host_name("kernel_cpy_f32_q4_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK4_0,  block_q4_0,   quantize_q4_0>;
 template [[host_name("kernel_cpy_f32_q4_1")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK4_1,  block_q4_1,   quantize_q4_1>;
 template [[host_name("kernel_cpy_f32_q5_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK5_0,  block_q5_0,   quantize_q5_0>;
@@ -7046,12 +7397,14 @@ kernel void kernel_cpy_q_f32(
 
 typedef decltype(kernel_cpy_q_f32<float4x4, block_q4_0, 2, dequantize_q4_0>) cpy_q_f_t;
 
+template [[host_name("kernel_cpy_q1_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q1_0, 8, dequantize_q1_0>;
 template [[host_name("kernel_cpy_q4_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q4_0, 2, dequantize_q4_0>;
 template [[host_name("kernel_cpy_q4_1_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q4_1, 2, dequantize_q4_1>;
 template [[host_name("kernel_cpy_q5_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q5_0, 2, dequantize_q5_0>;
 template [[host_name("kernel_cpy_q5_1_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q5_1, 2, dequantize_q5_1>;
 template [[host_name("kernel_cpy_q8_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q8_0, 2, dequantize_q8_0>;
 
+template [[host_name("kernel_cpy_q1_0_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q1_0, 8, dequantize_q1_0>;
 template [[host_name("kernel_cpy_q4_0_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q4_0, 2, dequantize_q4_0>;
 template [[host_name("kernel_cpy_q4_1_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q4_1, 2, dequantize_q4_1>;
 template [[host_name("kernel_cpy_q5_0_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q5_0, 2, dequantize_q5_0>;
@@ -9649,6 +10002,7 @@ template [[host_name("kernel_get_rows_bf16")]] kernel get_rows_f_t kernel_get_ro
 
 typedef decltype(kernel_get_rows_q<block_q4_0, 2, dequantize_q4_0>) get_rows_q_t;
 
+template [[host_name("kernel_get_rows_q1_0")]]    kernel get_rows_q_t kernel_get_rows_q<block_q1_0,    8, dequantize_q1_0>;
 template [[host_name("kernel_get_rows_q4_0")]]    kernel get_rows_q_t kernel_get_rows_q<block_q4_0,    2, dequantize_q4_0>;
 template [[host_name("kernel_get_rows_q4_1")]]    kernel get_rows_q_t kernel_get_rows_q<block_q4_1,    2, dequantize_q4_1>;
 template [[host_name("kernel_get_rows_q5_0")]]    kernel get_rows_q_t kernel_get_rows_q<block_q5_0,    2, dequantize_q5_0>;
@@ -9711,6 +10065,7 @@ template [[host_name("kernel_mul_mm_f16_f32")]]     kernel mul_mm_t kernel_mul_m
 #if defined(GGML_METAL_HAS_BF16)
 template [[host_name("kernel_mul_mm_bf16_f32")]]    kernel mul_mm_t kernel_mul_mm<bfloat, bfloat4x4, simdgroup_bfloat8x8, bfloat, bfloat2x4, simdgroup_bfloat8x8, bfloat4x4,     1,     dequantize_bf16,    bfloat, bfloat4x4, float, float2x4>;
 #endif
+template [[host_name("kernel_mul_mm_q1_0_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_q4_0_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_q4_1_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_q5_0_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  float, float2x4>;
@@ -9734,6 +10089,7 @@ template [[host_name("kernel_mul_mm_iq4_xs_f32")]]  kernel mul_mm_t kernel_mul_m
 
 template [[host_name("kernel_mul_mm_f32_f16")]]     kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   float4x4,      1,     dequantize_f32,     float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_f16_f16")]]     kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   half4x4,       1,     dequantize_f16,     half,   half4x4,   half, half2x4>;
+template [[host_name("kernel_mul_mm_q1_0_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_q4_0_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_q4_1_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_q5_0_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  half, half2x4>;
@@ -9766,6 +10122,7 @@ template [[host_name("kernel_mul_mm_id_f16_f32")]]     kernel mul_mm_id kernel_m
 #if defined(GGML_METAL_HAS_BF16)
 template [[host_name("kernel_mul_mm_id_bf16_f32")]]    kernel mul_mm_id kernel_mul_mm_id<bfloat, bfloat4x4, simdgroup_bfloat8x8, bfloat, bfloat2x4, simdgroup_bfloat8x8, bfloat4x4,     1,     dequantize_bf16,    bfloat, bfloat4x4, float, float2x4>;
 #endif
+template [[host_name("kernel_mul_mm_id_q1_0_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_id_q4_0_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_id_q4_1_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_id_q5_0_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  float, float2x4>;
@@ -9789,6 +10146,7 @@ template [[host_name("kernel_mul_mm_id_iq4_xs_f32")]]  kernel mul_mm_id kernel_m
 
 template [[host_name("kernel_mul_mm_id_f32_f16")]]     kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   float4x4,      1,     dequantize_f32,     float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_f16_f16")]]     kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   half4x4,       1,     dequantize_f16,     half,   half4x4,   half, half2x4>;
+template [[host_name("kernel_mul_mm_id_q1_0_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_q4_0_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_q4_1_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_q5_0_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  half, half2x4>;
@@ -9943,6 +10301,7 @@ template [[host_name("kernel_mul_mv_id_bf16_f32_4")]]  kernel kernel_mul_mv_id_4
 
 template [[host_name("kernel_mul_mv_id_q8_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_q8_0_f32_impl<N_R0_Q8_0>>>;
 
+template [[host_name("kernel_mul_mv_id_q1_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_q1_0_f32_impl<N_R0_Q1_0>>>;
 template [[host_name("kernel_mul_mv_id_q4_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<mul_vec_q_n_f32_impl<block_q4_0, N_R0_Q4_0>>>;
 template [[host_name("kernel_mul_mv_id_q4_1_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<mul_vec_q_n_f32_impl<block_q4_1, N_R0_Q4_1>>>;
 template [[host_name("kernel_mul_mv_id_q5_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<mul_vec_q_n_f32_impl<block_q5_0, N_R0_Q5_0>>>;
diff --git a/ggml/src/ggml-musa/CMakeLists.txt b/ggml/src/ggml-musa/CMakeLists.txt
index d76cb51977f9000cda679fef04b8d8e072a2bd09..f1a4a51f777140dd6ca53ef74a0d9c123c77f29e 100644
--- a/ggml/src/ggml-musa/CMakeLists.txt
+++ b/ggml/src/ggml-musa/CMakeLists.txt
@@ -1,125 +1,3 @@
-if (NOT EXISTS $ENV{MUSA_PATH})
-    if (NOT EXISTS /opt/musa)
-        set(MUSA_PATH /usr/local/musa)
-    else()
-        set(MUSA_PATH /opt/musa)
-    endif()
-else()
-    set(MUSA_PATH $ENV{MUSA_PATH})
-endif()
-
-set(CMAKE_C_COMPILER "${MUSA_PATH}/bin/clang")
-set(CMAKE_C_EXTENSIONS OFF)
-set(CMAKE_CXX_COMPILER "${MUSA_PATH}/bin/clang++")
-set(CMAKE_CXX_EXTENSIONS OFF)
-
-list(APPEND CMAKE_MODULE_PATH "${MUSA_PATH}/cmake")
-
-find_package(MUSAToolkit)
-
-if (MUSAToolkit_FOUND)
-    message(STATUS "MUSA Toolkit found")
-
-    if (NOT DEFINED MUSA_ARCHITECTURES)
-        set(MUSA_ARCHITECTURES "21;22;31")
-    endif()
-    message(STATUS "Using MUSA architectures: ${MUSA_ARCHITECTURES}")
-
-    file(GLOB   GGML_HEADERS_MUSA "../ggml-cuda/*.cuh")
-    list(APPEND GGML_HEADERS_MUSA "../../include/ggml-cuda.h")
-    list(APPEND GGML_HEADERS_MUSA "../ggml-musa/mudnn.cuh")
-
-    file(GLOB   GGML_SOURCES_MUSA "../ggml-cuda/*.cu")
-    file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-tile*.cu")
-    list(APPEND GGML_SOURCES_MUSA ${SRCS})
-    file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-mma*.cu")
-    list(APPEND GGML_SOURCES_MUSA ${SRCS})
-    file(GLOB   SRCS "../ggml-cuda/template-instances/mmq*.cu")
-    list(APPEND GGML_SOURCES_MUSA ${SRCS})
-
-    if (GGML_MUSA_MUDNN_COPY)
-        file(GLOB   SRCS "../ggml-musa/*.cu")
-        list(APPEND GGML_SOURCES_MUSA ${SRCS})
-        add_compile_definitions(GGML_MUSA_MUDNN_COPY)
-    endif()
-
-    if (GGML_CUDA_FA_ALL_QUANTS)
-        file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*.cu")
-        list(APPEND GGML_SOURCES_MUSA ${SRCS})
-        add_compile_definitions(GGML_CUDA_FA_ALL_QUANTS)
-    else()
-        file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu")
-        list(APPEND GGML_SOURCES_MUSA ${SRCS})
-        file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu")
-        list(APPEND GGML_SOURCES_MUSA ${SRCS})
-        file(GLOB   SRCS "../ggml-cuda/template-instances/fattn-vec*f16-f16.cu")
-        list(APPEND GGML_SOURCES_MUSA ${SRCS})
-    endif()
-
-    set_source_files_properties(${GGML_SOURCES_MUSA} PROPERTIES LANGUAGE CXX)
-    foreach(SOURCE ${GGML_SOURCES_MUSA})
-        set(COMPILE_FLAGS "-Od3 -fno-strict-aliasing -ffast-math -fsigned-char -x musa -mtgpu -fmusa-flush-denormals-to-zero")
-        foreach(ARCH ${MUSA_ARCHITECTURES})
-            set(COMPILE_FLAGS "${COMPILE_FLAGS} --cuda-gpu-arch=mp_${ARCH}")
-        endforeach()
-        set_property(SOURCE ${SOURCE} PROPERTY COMPILE_FLAGS ${COMPILE_FLAGS})
-    endforeach()
-
-    ggml_add_backend_library(ggml-musa
-                             ${GGML_HEADERS_MUSA}
-                             ${GGML_SOURCES_MUSA}
-                            )
-
-    # TODO: do not use CUDA definitions for MUSA
-    if (NOT GGML_BACKEND_DL)
-        target_compile_definitions(ggml PUBLIC GGML_USE_CUDA)
-    endif()
-
-    add_compile_definitions(GGML_USE_MUSA)
-    add_compile_definitions(GGML_CUDA_PEER_MAX_BATCH_SIZE=${GGML_CUDA_PEER_MAX_BATCH_SIZE})
-
-    if (GGML_MUSA_GRAPHS)
-        add_compile_definitions(GGML_MUSA_GRAPHS)
-    endif()
-
-    if (GGML_CUDA_FORCE_MMQ)
-        add_compile_definitions(GGML_CUDA_FORCE_MMQ)
-    endif()
-
-    if (GGML_CUDA_FORCE_CUBLAS)
-        add_compile_definitions(GGML_CUDA_FORCE_CUBLAS)
-    endif()
-
-    if (GGML_CUDA_NO_VMM)
-        add_compile_definitions(GGML_CUDA_NO_VMM)
-    endif()
-
-    if (NOT GGML_CUDA_FA)
-        add_compile_definitions(GGML_CUDA_NO_FA)
-    endif()
-
-    if (GGML_CUDA_NO_PEER_COPY)
-        add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
-    endif()
-
-    if (GGML_STATIC)
-        target_link_libraries(ggml-musa PRIVATE MUSA::musart_static MUSA::mublas_static)
-        # TODO: mudnn has not provided static libraries yet
-        # if (GGML_MUSA_MUDNN_COPY)
-        #     target_link_libraries(ggml-musa PRIVATE mudnn_static)
-        # endif()
-    else()
-        target_link_libraries(ggml-musa PRIVATE MUSA::musart MUSA::mublas)
-        if (GGML_MUSA_MUDNN_COPY)
-            target_link_libraries(ggml-musa PRIVATE mudnn)
-        endif()
-    endif()
-
-    if (GGML_CUDA_NO_VMM)
-        # No VMM requested, no need to link directly with the musa driver lib (libmusa.so)
-    else()
-        target_link_libraries(ggml-musa PRIVATE MUSA::musa_driver)
-    endif()
-else()
-    message(FATAL_ERROR "MUSA Toolkit not found")
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c4c2ebf475dc28c84064b2cb2c750068d7826eb549f5320f86e17f026fa2c4b
+size 4415
diff --git a/ggml/src/ggml-opencl/CMakeLists.txt b/ggml/src/ggml-opencl/CMakeLists.txt
index 1f8250934b031013ec0f4fa04465e514d83d0213..aa35c4baf9ee273c986586522ed3ce72ca3ddde5 100644
--- a/ggml/src/ggml-opencl/CMakeLists.txt
+++ b/ggml/src/ggml-opencl/CMakeLists.txt
@@ -1,157 +1,3 @@
-find_package(OpenCL REQUIRED)
-find_package(Python3 REQUIRED)
-
-set(TARGET_NAME ggml-opencl)
-
-ggml_add_backend_library(${TARGET_NAME}
-                         ggml-opencl.cpp
-                         ../../include/ggml-opencl.h)
-target_link_libraries(${TARGET_NAME} PRIVATE ${OpenCL_LIBRARIES})
-target_include_directories(${TARGET_NAME} PRIVATE ${OpenCL_INCLUDE_DIRS})
-
-if (GGML_OPENCL_PROFILING)
-    message(STATUS "OpenCL profiling enabled (increases CPU overhead)")
-    add_compile_definitions(GGML_OPENCL_PROFILING)
-endif ()
-
-add_compile_definitions(GGML_OPENCL_SOA_Q)
-add_compile_definitions(GGML_OPENCL_TARGET_VERSION=${GGML_OPENCL_TARGET_VERSION})
-
-if (GGML_OPENCL_USE_ADRENO_KERNELS)
-    message(STATUS "OpenCL will use matmul kernels optimized for Adreno")
-    add_compile_definitions(GGML_OPENCL_USE_ADRENO_KERNELS)
-endif ()
-
-if (GGML_OPENCL_EMBED_KERNELS)
-    add_compile_definitions(GGML_OPENCL_EMBED_KERNELS)
-
-    set(EMBED_KERNEL_SCRIPT "${CMAKE_CURRENT_SOURCE_DIR}/kernels/embed_kernel.py")
-    file(MAKE_DIRECTORY     "${CMAKE_CURRENT_BINARY_DIR}/autogenerated")
-
-    target_include_directories(${TARGET_NAME} PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/autogenerated")
-endif ()
-
-function(ggml_opencl_add_kernel KNAME)
-    set(KERN_HDR ${CMAKE_CURRENT_BINARY_DIR}/autogenerated/${KNAME}.cl.h)
-    set(KERN_SRC ${CMAKE_CURRENT_SOURCE_DIR}/kernels/${KNAME}.cl)
-
-    if (GGML_OPENCL_EMBED_KERNELS)
-        message(STATUS "opencl: embedding kernel ${KNAME}")
-
-        # Python must be accessible from command line
-        add_custom_command(
-            OUTPUT ${KERN_HDR}
-            COMMAND ${Python3_EXECUTABLE} ${EMBED_KERNEL_SCRIPT} ${KERN_SRC} ${KERN_HDR}
-            DEPENDS ${KERN_SRC} ${EMBED_KERNEL_SCRIPT}
-            COMMENT "Generate ${KERN_HDR}"
-        )
-
-        target_sources(${TARGET_NAME} PRIVATE ${KERN_HDR})
-    else ()
-        message(STATUS "opencl: adding kernel ${KNAME}")
-        configure_file(${KERN_SRC} ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${KNAME}.cl COPYONLY)
-    endif ()
-endfunction()
-
-set(GGML_OPENCL_KERNELS
-    add
-    add_id
-    argsort
-    tri
-    fill
-    clamp
-    cpy
-    cvt
-    diag_mask_inf
-    diag
-    div
-    gelu
-    gemv_noshuffle_general
-    gemv_noshuffle
-    get_rows
-    glu
-    group_norm
-    solve_tri
-    im2col_f32
-    im2col_f16
-    mean
-    mul_mat_Ab_Bi_8x4
-    mul_mv_f16_f16
-    mul_mv_f16_f32_1row
-    mul_mv_f16_f32_l4
-    mul_mv_f16_f32
-    mul_mv_f32_f32
-    mul_mv_q4_0_f32
-    mul_mv_q4_0_f32_v
-    mul_mv_q4_0_f32_8x_flat
-    mul_mv_q4_0_f32_1d_8x_flat
-    mul_mv_q4_0_f32_1d_16x_flat
-    mul_mv_q4_1_f32
-    mul_mv_q4_1_f32_flat
-    mul_mv_q4_k_f32
-    mul_mv_q6_k_f32
-    mul_mv_q6_k_f32_flat
-    mul_mv_q8_0_f32
-    mul_mv_q8_0_f32_flat
-    mul_mv_mxfp4_f32
-    mul_mv_mxfp4_f32_flat
-    mul_mv_id_q4_0_f32_8x_flat
-    mul_mv_id_q8_0_f32
-    mul_mv_id_q8_0_f32_flat
-    mul_mv_id_mxfp4_f32
-    mul_mv_id_mxfp4_f32_flat
-    gemm_moe_mxfp4_f32
-    gemv_moe_mxfp4_f32
-    mul_mm_f32_f32_l4_lm
-    mul_mm_f16_f32_l4_lm
-    mul_mm_q4_0_f32_l4_lm
-    mul_mm_q4_1_f32_l4_lm
-    mul_mm_q8_0_f32_l4_lm
-    mul_mm_q6_k_f32_l4_lm
-    mul_mm_q8_0_f32_8x4
-    gemv_noshuffle_q4_1_f32
-    gemm_noshuffle_q4_1_f32
-    gemv_noshuffle_general_q8_0_f32
-    mul
-    neg
-    norm
-    relu
-    l2_norm
-    rms_norm
-    rope
-    scale
-    set_rows
-    sigmoid
-    silu
-    softmax_4_f32
-    softmax_4_f16
-    softmax_f32
-    softmax_f16
-    sqr
-    sqrt
-    ssm_conv
-    sub
-    sum_rows
-    cumsum
-    transpose
-    concat
-    tsembd
-    upscale
-    tanh
-    exp
-    expm1
-    softplus
-    pad
-    repeat
-    mul_mat_f16_f32
-    mul_mm_f16_f32_kq_kqv
-    conv2d
-    conv2d_f16_f32
-    flash_attn_f32_f16
-    flash_attn_f16
-    flash_attn_f32
-)
-
-foreach (K ${GGML_OPENCL_KERNELS})
-    ggml_opencl_add_kernel(${K})
-endforeach()
+version https://git-lfs.github.com/spec/v1
+oid sha256:94e9beb8d5ab93fec120f4fda033650ff9f82aeedc47870c2f1cf24c3969cd41
+size 4237
diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp
index e1dca6b4b4d6a399d7b7107013ba683090c40bb6..8bc7ae65a6dffa4d5c069ffbfbb08933ecc1321d 100644
--- a/ggml/src/ggml-opencl/ggml-opencl.cpp
+++ b/ggml/src/ggml-opencl/ggml-opencl.cpp
@@ -394,6 +394,9 @@ struct ggml_backend_opencl_context {
     bool fp16_support;
     bool has_vector_subgroup_broadcast;
     bool disable_fusion;
+
+    bool adreno_has_large_buffer;
+    bool adreno_use_large_buffer;
     ggml_cl_compiler_version adreno_cl_compiler_version;
 
     int adreno_wave_size;
@@ -529,16 +532,26 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_convert_block_q4_1, kernel_restore_block_q4_1;
     cl_kernel kernel_convert_block_mxfp4, kernel_convert_block_mxfp4_trans, kernel_restore_block_mxfp4, kernel_restore_block_mxfp4_trans;
     cl_kernel kernel_convert_block_q8_0, kernel_restore_block_q8_0, kernel_restore_block_q8_0_trans;
+    cl_kernel kernel_convert_block_q6_K_noshuffle, kernel_restore_block_q6_K_noshuffle;
     cl_kernel kernel_mul_mat_q4_0_f32_8x_flat;
     cl_kernel kernel_convert_block_q4_0_noshuffle;
     cl_kernel kernel_restore_block_q4_0_noshuffle;
     cl_kernel kernel_convert_block_q4_1_noshuffle;
     cl_kernel kernel_restore_block_q4_1_noshuffle;
+    cl_kernel kernel_convert_block_q4_K_noshuffle;
+    cl_kernel kernel_restore_block_q4_K_noshuffle;
+    cl_kernel kernel_convert_block_q4_K, kernel_restore_block_q4_K;
+    cl_kernel kernel_convert_block_q5_K, kernel_restore_block_q5_K;
+    cl_kernel kernel_convert_block_q5_K_noshuffle;
+    cl_kernel kernel_restore_block_q5_K_noshuffle;
     cl_kernel kernel_convert_block_q6_K, kernel_restore_block_q6_K;
     cl_kernel kernel_mul_mat_q4_0_f32_1d_8x_flat, kernel_mul_mat_q4_0_f32_1d_16x_flat;
     cl_kernel kernel_mul_mv_q4_1_f32;
     cl_kernel kernel_mul_mv_q4_1_f32_flat;
     cl_kernel kernel_mul_mv_q4_K_f32;
+    cl_kernel kernel_mul_mv_q4_K_f32_flat;
+    cl_kernel kernel_mul_mv_q5_K_f32;
+    cl_kernel kernel_mul_mv_q5_K_f32_flat;
     cl_kernel kernel_mul_mv_q6_K_f32;
     cl_kernel kernel_mul_mv_q6_K_f32_flat;
     cl_kernel kernel_mul_mv_mxfp4_f32, kernel_mul_mv_mxfp4_f32_flat;
@@ -578,6 +591,8 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_mul_mm_q4_0_f32_l4_lm;
     cl_kernel kernel_mul_mm_q4_1_f32_l4_lm;
     cl_kernel kernel_mul_mm_q8_0_f32_l4_lm;
+    cl_kernel kernel_mul_mm_q4_k_f32_l4_lm;
+    cl_kernel kernel_mul_mm_q5_k_f32_l4_lm;
     cl_kernel kernel_mul_mm_q6_k_f32_l4_lm;
 
     std::vector<ProfilingInfo> profiling_info;
@@ -713,6 +728,12 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_gemm_noshuffle_q4_1_f32;
     cl_kernel kernel_mul_mm_q8_0_f32_8x4;
     cl_kernel CL_mul_mat_vec_q8_0_f32;
+    cl_kernel kernel_gemv_noshuffle_q4_k_f32;
+    cl_kernel kernel_gemm_noshuffle_q4_k_f32;
+    cl_kernel kernel_gemv_noshuffle_q6_K_f32;
+    cl_kernel kernel_gemm_noshuffle_q6_K_f32;
+    cl_kernel kernel_gemv_noshuffle_q5_k_f32;
+    cl_kernel kernel_gemm_noshuffle_q5_k_f32;
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
     void free() {
@@ -781,6 +802,10 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
                                " -cl-mad-enable -cl-unsafe-math-optimizations"
                                " -cl-finite-math-only -cl-fast-relaxed-math";
 
+    if (backend_ctx->adreno_use_large_buffer) {
+        compile_opts += " -qcom-enable-large-buffer ";
+    }
+
     GGML_LOG_INFO("ggml_opencl: loading OpenCL kernels");
 
     // add
@@ -917,8 +942,18 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_convert_block_q8_0  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q8_0", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q8_0  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q8_0", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q8_0_trans  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q8_0_trans", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q4_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q4_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q4_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q4_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q5_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q5_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q5_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q5_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q5_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q5_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q5_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q5_K_noshuffle", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q6_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q6_K", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q6_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q6_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q6_K_noshuffle  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q6_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q6_K_noshuffle  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q6_K_noshuffle", &err), err));
         GGML_LOG_CONT(".");
     }
 
@@ -1209,6 +1244,56 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mv_q4_k_f32_flat
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q4_k_f32_flat.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q4_k_f32_flat.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q4_K_f32_flat = clCreateKernel(prog, "kernel_mul_mv_q4_K_f32_flat", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // mul_mv_q5_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q5_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q5_k_f32.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q5_K_f32 = clCreateKernel(prog, "kernel_mul_mv_q5_K_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // mul_mv_q5_k_f32_flat
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q5_k_f32_flat.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q5_k_f32_flat.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q5_K_f32_flat = clCreateKernel(prog, "kernel_mul_mv_q5_K_f32_flat", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+    }
+
     // mul_mv_q6_k_f32
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1482,6 +1567,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mm_q4_k_f32_l4_lm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mm_q4_k_f32_l4_lm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mm_q4_k_f32_l4_lm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mm_q4_k_f32_l4_lm = clCreateKernel(prog, "kernel_mul_mm_q4_k_f32_l4_lm", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_q6_k_f32_l4_lm
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1499,6 +1601,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mm_q5_k_f32_l4_lm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mm_q5_k_f32_l4_lm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mm_q5_k_f32_l4_lm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mm_q5_k_f32_l4_lm = clCreateKernel(prog, "kernel_mul_mm_q5_k_f32_l4_lm", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_f16_f32_kq_kqv
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -2568,6 +2687,45 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // gemm_noshuffle_q4_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q4_k_f32.cl.h"
+       };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_q4_k_f32.cl");
+#endif
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q4_k_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q4_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemv_noshuffle_q4_k_f32
+    {
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
+        }
+
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_q4_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_q4_k_f32.cl");
+#endif
+
+        cl_program prog = build_program_from_source(
+            backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_k_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     std::string CL_moe_compile_opts = std::string("-cl-std=") + opencl_c_std +
             " -cl-mad-enable "
             " -cl-fast-relaxed-math";
@@ -2603,6 +2761,84 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_gemm_moe_mxfp4_f32 = clCreateKernel(backend_ctx->program_gemm_moe_mxfp4_f32, "kernel_gemm_moe_mxfp4_f32", &err), err));
         GGML_LOG_CONT(".");
     }
+
+    // gemv_noshuffle_q6_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_q6_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_q6_k_f32.cl");
+#endif
+
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+        }
+
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q6_K_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q6_K_f32", &err), err));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemm_noshuffle_q6_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q6_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_q6_k_f32.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q6_K_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q6_K_f32", &err), err));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemv_noshuffle_q5_k_f32
+    {
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
+        }
+
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_q5_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_q5_k_f32.cl");
+#endif
+
+        cl_program prog = build_program_from_source(
+            backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q5_k_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q5_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemm_noshuffle_q5_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q5_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_q5_k_f32.cl");
+#endif
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q5_k_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q5_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
     GGML_LOG_CONT("\n");
 }
@@ -2937,6 +3173,8 @@ static ggml_backend_opencl_context * ggml_cl2_init(ggml_backend_dev_t dev) {
     // Check if ext_buffer contains cl_khr_fp16
     backend_ctx->fp16_support = strstr(ext_buffer, "cl_khr_fp16") != NULL;
     GGML_LOG_INFO("ggml_opencl: device FP16 support: %s\n", backend_ctx->fp16_support ? "true" : "false");
+    // check Adreno large buffer support
+    backend_ctx->adreno_has_large_buffer = strstr(ext_buffer, "cl_qcom_large_buffer") != NULL;
 
     // fp16 is required
     if (!backend_ctx->fp16_support) {
@@ -3003,6 +3241,18 @@ static ggml_backend_opencl_context * ggml_cl2_init(ggml_backend_dev_t dev) {
     GGML_LOG_INFO("ggml_opencl: using kernels optimized for Adreno (GGML_OPENCL_USE_ADRENO_KERNELS)\n");
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
+    // determine whether to use large buffer for Adreno
+    backend_ctx->adreno_use_large_buffer = getenv("GGML_OPENCL_ADRENO_USE_LARGE_BUFFER") != nullptr &&
+                                           backend_ctx->gpu_family == GPU_FAMILY::ADRENO;
+    if (backend_ctx->adreno_use_large_buffer) {
+        if (!backend_ctx->adreno_has_large_buffer) {
+            GGML_LOG_INFO("ggml_opencl: Adreno large buffer requested but not supported by driver, will use regular buffer\n");
+            backend_ctx->adreno_use_large_buffer = false;
+        } else {
+            GGML_LOG_INFO("ggml_opencl: Adreno large buffer enabled\n");
+        }
+    }
+
     cl_int err;
 
     // A local ref of cl_context for convenience
@@ -3347,6 +3597,92 @@ struct ggml_tensor_extra_cl_q8_0 {
     }
 };
 
+struct ggml_tensor_extra_cl_q4_K {
+    // Quantized values
+    cl_mem q = nullptr;
+    // Scales for each super block.
+    cl_mem s  = nullptr;
+    // Scales
+    cl_mem d = nullptr;
+    // Min
+    cl_mem dm  = nullptr;
+
+    ~ggml_tensor_extra_cl_q4_K() {
+        reset();
+    }
+
+    void reset() {
+        if (q != nullptr) {
+            CL_CHECK(clReleaseMemObject(q));
+            q = nullptr;
+        }
+        if (s != nullptr) {
+            CL_CHECK(clReleaseMemObject(s));
+            s = nullptr;
+        }
+        if (d != nullptr) {
+            CL_CHECK(clReleaseMemObject(d));
+            d = nullptr;
+        }
+        if (dm != nullptr) {
+            CL_CHECK(clReleaseMemObject(dm));
+            dm = nullptr;
+        }
+    }
+};
+
+struct ggml_tensor_extra_cl_q5_K {
+    // Lower 4 bits of quantized weights.
+    cl_mem q  = nullptr;
+    // Upper 1 bit of quantized weights.
+    cl_mem qh = nullptr;
+    // Scales for each block.
+    cl_mem s  = nullptr;
+    // Scales for each super block.
+    cl_mem d  = nullptr;
+    // Min for each super block.
+    cl_mem dm = nullptr;
+
+    size_t size_q  = 0;
+    size_t size_qh = 0;
+    size_t size_s  = 0;
+    size_t size_d  = 0;
+    size_t size_dm = 0;
+
+    ~ggml_tensor_extra_cl_q5_K() {
+        reset();
+    }
+
+    void reset() {
+        if (q != nullptr) {
+            CL_CHECK(clReleaseMemObject(q));
+            q = nullptr;
+        }
+        if (qh != nullptr) {
+            CL_CHECK(clReleaseMemObject(qh));
+            qh = nullptr;
+        }
+        if (s != nullptr) {
+            CL_CHECK(clReleaseMemObject(s));
+            s = nullptr;
+        }
+        if (d != nullptr) {
+            CL_CHECK(clReleaseMemObject(d));
+            d = nullptr;
+        }
+        if (dm != nullptr) {
+            CL_CHECK(clReleaseMemObject(dm));
+            dm = nullptr;
+        }
+
+        size_q  = 0;
+        size_qh = 0;
+        size_s  = 0;
+        size_d  = 0;
+        size_dm = 0;
+    }
+};
+
 struct ggml_tensor_extra_cl_q6_K {
     // Lower 4 bits of quantized weights.
     cl_mem ql = nullptr;
@@ -3762,6 +4098,7 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
             } else if (op->src[0]->type == GGML_TYPE_Q4_0  || op->src[0]->type == GGML_TYPE_Q4_1 ||
                        op->src[0]->type == GGML_TYPE_MXFP4 ||
                        op->src[0]->type == GGML_TYPE_Q4_K  ||
+                       op->src[0]->type == GGML_TYPE_Q5_K  ||
                        op->src[0]->type == GGML_TYPE_Q6_K) {
                 return op->src[1]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
             } else if (op->src[0]->type == GGML_TYPE_Q8_0) {
@@ -3880,6 +4217,8 @@ static ggml_backend_i ggml_backend_opencl_i = {
     /* .set_tensor_async        = */ NULL,  /* ggml_backend_opencl_set_tensor_async */
     /* .get_tensor_async        = */ NULL,  /* ggml_backend_opencl_get_tensor_async */
     /* .cpy_tensor_async        = */ NULL,  /* ggml_backend_opencl_cpy_tensor_async */
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .synchronize             = */ ggml_backend_opencl_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
@@ -3956,12 +4295,24 @@ struct ggml_backend_opencl_buffer_context {
         for (ggml_tensor_extra_cl_q8_0 * e : temp_tensor_extras_q8_0_in_use) {
             delete e;
         }
+        for (ggml_tensor_extra_cl_q4_K * e : temp_tensor_extras_q4_K) {
+            delete e;
+        }
+        for (ggml_tensor_extra_cl_q4_K * e : temp_tensor_extras_q4_K_in_use) {
+            delete e;
+        }
         for (ggml_tensor_extra_cl_q6_K * e : temp_tensor_extras_q6_K) {
             delete e;
         }
         for (ggml_tensor_extra_cl_q6_K * e : temp_tensor_extras_q6_K_in_use) {
             delete e;
         }
+        for (ggml_tensor_extra_cl_q5_K * e : temp_tensor_extras_q5_K) {
+            delete e;
+        }
+        for (ggml_tensor_extra_cl_q5_K * e : temp_tensor_extras_q5_K_in_use) {
+            delete e;
+        }
     }
 
     ggml_tensor_extra_cl * ggml_opencl_alloc_temp_tensor_extra() {
@@ -4039,6 +4390,36 @@ struct ggml_backend_opencl_buffer_context {
         return extra;
     }
 
+    ggml_tensor_extra_cl_q4_K * ggml_opencl_alloc_temp_tensor_extra_q4_K() {
+        ggml_tensor_extra_cl_q4_K * extra;
+        if (temp_tensor_extras_q4_K.empty()) {
+            extra = new ggml_tensor_extra_cl_q4_K();
+        } else {
+            extra = temp_tensor_extras_q4_K.back();
+            temp_tensor_extras_q4_K.pop_back();
+        }
+
+        temp_tensor_extras_q4_K_in_use.push_back(extra);
+
+        extra->reset();
+        return extra;
+    }
+
+    ggml_tensor_extra_cl_q5_K * ggml_opencl_alloc_temp_tensor_extra_q5_K() {
+        ggml_tensor_extra_cl_q5_K * extra;
+        if (temp_tensor_extras_q5_K.empty()) {
+            extra = new ggml_tensor_extra_cl_q5_K();
+        } else {
+            extra = temp_tensor_extras_q5_K.back();
+            temp_tensor_extras_q5_K.pop_back();
+        }
+
+        temp_tensor_extras_q5_K_in_use.push_back(extra);
+
+        extra->reset();
+        return extra;
+    }
+
     ggml_tensor_extra_cl_q6_K * ggml_opencl_alloc_temp_tensor_extra_q6_K() {
         ggml_tensor_extra_cl_q6_K * extra;
         if (temp_tensor_extras_q6_K.empty()) {
@@ -4080,6 +4461,16 @@ struct ggml_backend_opencl_buffer_context {
         }
         temp_tensor_extras_q8_0_in_use.clear();
 
+        for (ggml_tensor_extra_cl_q4_K * e : temp_tensor_extras_q4_K_in_use) {
+            temp_tensor_extras_q4_K.push_back(e);
+        }
+        temp_tensor_extras_q4_K_in_use.clear();
+
+        for (ggml_tensor_extra_cl_q5_K * e : temp_tensor_extras_q5_K_in_use) {
+            temp_tensor_extras_q5_K.push_back(e);
+        }
+        temp_tensor_extras_q5_K_in_use.clear();
+
         for (ggml_tensor_extra_cl_q6_K * e : temp_tensor_extras_q6_K_in_use) {
             temp_tensor_extras_q6_K.push_back(e);
         }
@@ -4101,6 +4492,10 @@ struct ggml_backend_opencl_buffer_context {
     std::vector<ggml_tensor_extra_cl_mxfp4 *> temp_tensor_extras_mxfp4_in_use;
     std::vector<ggml_tensor_extra_cl_q8_0 *> temp_tensor_extras_q8_0;
     std::vector<ggml_tensor_extra_cl_q8_0 *> temp_tensor_extras_q8_0_in_use;
+    std::vector<ggml_tensor_extra_cl_q4_K *> temp_tensor_extras_q4_K;
+    std::vector<ggml_tensor_extra_cl_q4_K *> temp_tensor_extras_q4_K_in_use;
+    std::vector<ggml_tensor_extra_cl_q5_K *> temp_tensor_extras_q5_K;
+    std::vector<ggml_tensor_extra_cl_q5_K *> temp_tensor_extras_q5_K_in_use;
     std::vector<ggml_tensor_extra_cl_q6_K *> temp_tensor_extras_q6_K;
     std::vector<ggml_tensor_extra_cl_q6_K *> temp_tensor_extras_q6_K_in_use;
 
@@ -4721,118 +5116,233 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
             GGML_ASSERT(tensor->ne[2] == 1);
             GGML_ASSERT(tensor->ne[3] == 1);
 
-            // Transpose weights
-            size_t q_size_bytes = K * M / 4 * sizeof(float);
-            cl_buffer_region region;
-            region.origin = 0;
-            region.size = q_size_bytes;
-            cl_mem qT_d = clCreateSubBuffer(
-                backend_ctx->prealloc_quant_trans.buffer,
-                0,
-                CL_BUFFER_CREATE_TYPE_REGION,
-                &region,
-                &err);
-            CL_CHECK(err);
-
-            cl_mem q_d_image1D;
-            cl_mem qT_d_image1D;
+            transpose_2d_as_32b(backend_ctx, extra->q, extra->q, size_q, K/4,  M);
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/32, M);
+        } // end transpose
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
-            cl_image_format img_fmt_1d;
-            cl_image_desc img_desc_1d;
+        return;
+    }
+    if (tensor->type == GGML_TYPE_Q4_K) {
+        ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
+        GGML_ASSERT(extra_orig && "Tesnors in OpenCL backend should have been allocated and initialized");
 
-            img_fmt_1d = { CL_RGBA, CL_FLOAT };
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.image_width = M * K / 4 / 4;
-            img_desc_1d.buffer = extra->q;
-            q_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
+        // Allocate the new extra and create aliases from the original.
+        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
+        ggml_tensor_extra_cl_q4_K * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_q4_K();
 
-            img_fmt_1d = { CL_RGBA, CL_FLOAT };
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.image_width = M * K / 4 / 4;
-            img_desc_1d.buffer = qT_d;
-            qT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
+        size_t size_d = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        size_t size_dm = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        size_t size_s = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*(3 * ggml_blck_size(tensor->type) / 64);
+        size_t size_q = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+        GGML_ASSERT(size_d + size_dm + size_s + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
 
-            int height_q = M / 4;
-            int width_q = K / 4 / 4;
-            kernel = backend_ctx->kernel_transpose_32;
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+        CL_CHECK(clEnqueueWriteBuffer(
+            queue, data_device, CL_TRUE, 0,
+            ggml_nbytes(tensor), data, 0, NULL, NULL));
 
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &q_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &qT_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_q));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_q));
+        cl_buffer_region region;
 
-            size_t local_size_q[3] = {4, 16, 1};
-            size_t global_size_q[3] = {static_cast<size_t>(width_q), static_cast<size_t>(height_q), 1};
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_q, local_size_q, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+        // Create subbuffer for d.
+        region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
+        region.size = size_d;
+        extra->d = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        auto previous_origin = region.origin;
 
-            // Transpose scales
-            size_t d_size_bytes = M * (K / 32) * 2;
-            region.origin = 0;
-            region.size = d_size_bytes;
-            cl_mem dT_d = clCreateSubBuffer(
-                backend_ctx->prealloc_scales_trans.buffer,
-                0,
-                CL_BUFFER_CREATE_TYPE_REGION,
-                &region,
-                &err);
-            CL_CHECK(err);
+        // Create subbuffer for mins.
+        region.origin = align_to(previous_origin + size_d, backend_ctx->alignment);
+        region.size = size_dm;
+        extra->dm = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        previous_origin = region.origin;
 
-            cl_mem d_d_image1D;
-            cl_mem dT_d_image1D;
+        // Create subbuffer for s.
+        region.origin = align_to(previous_origin + size_dm, backend_ctx->alignment);
+        region.size = size_s;
+        extra->s = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        previous_origin = region.origin;
 
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_fmt_1d = { CL_R, CL_HALF_FLOAT };
-            img_desc_1d.image_width = M * K / 32;
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.buffer = extra->d;
-            d_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
+        // Create subbuffer for quants.
+        region.origin = align_to(previous_origin + size_s, backend_ctx->alignment);
+        region.size = size_q;
+        extra->q = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
 
-            img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT };
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.image_width = M * K / 32 / 4;
-            img_desc_1d.buffer = dT_d;
-            dT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
+        #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q4_K;
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_q4_K_noshuffle;
+        }
+        #else
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q4_K;
+        #endif
 
-            int height_s = M / 4;
-            int width_s = K / 32;
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
 
-            kernel = backend_ctx->kernel_transpose_16_4x1;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &extra->dm));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_F0));
 
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &d_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &dT_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_s));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_s));
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
 
-            size_t local_size_s[3] = {4, 16, 1};
-            size_t global_size_s[3] = {static_cast<size_t>(width_s), static_cast<size_t>(height_s), 1};
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_s, local_size_s, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clReleaseMemObject(data_device));
 
-            // copy transposed buffer contents to original buffers
-            CL_CHECK(clEnqueueCopyBuffer(queue, qT_d, extra->q, 0, 0, q_size_bytes, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+        tensor->extra  = extra;
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
 
-            CL_CHECK(clEnqueueCopyBuffer(queue, dT_d, extra->d, 0, 0, d_size_bytes, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
 
-            CL_CHECK(clReleaseMemObject(qT_d));
-            CL_CHECK(clReleaseMemObject(dT_d));
+            GGML_ASSERT(K % 32 == 0);
 
-            CL_CHECK(clReleaseMemObject(q_d_image1D));
-            CL_CHECK(clReleaseMemObject(d_d_image1D));
-            CL_CHECK(clReleaseMemObject(qT_d_image1D));
-            CL_CHECK(clReleaseMemObject(dT_d_image1D));
-        } // end transpose
+            // Transpose q, d, dm as ushort
+            transpose_2d_as_16b(backend_ctx, extra->q, extra->q, size_q, K/4, M);
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/256, M);
+            transpose_2d_as_16b(backend_ctx, extra->dm, extra->dm, size_dm, K/256, M);
+        }
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
+        return;
+    }
+    if (tensor->type == GGML_TYPE_Q5_K) {
+        ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
+        GGML_ASSERT(extra_orig && "Tesnors in OpenCL backend should have been allocated and initialized");
+
+        // Allocate the new extra and create aliases from the original.
+        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
+        ggml_tensor_extra_cl_q5_K * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_q5_K();
+
+        size_t size_q  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+        size_t size_qh = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/8;
+        size_t size_s  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*(3*ggml_blck_size(tensor->type)/64);
+        size_t size_d  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        size_t size_dm = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        GGML_ASSERT(size_q + size_qh + size_s + size_d + size_dm == ggml_nbytes(tensor) &&
+            "Incorrect tensor size");
+
+        cl_int err;
+        cl_mem data_device;
+        CL_CHECK((data_device = clCreateBuffer(context, CL_MEM_READ_WRITE, ggml_nbytes(tensor), NULL, &err), err));
+        CL_CHECK(clEnqueueWriteBuffer(queue, data_device, CL_TRUE, 0, ggml_nbytes(tensor), data, 0, NULL, NULL));
+
+        cl_buffer_region region;
+
+        // Create subbuffer for d.
+        region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
+        region.size = size_d;
+        extra->d = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        auto previous_origin = region.origin;
+
+        // Create subbuffer for dm.
+        region.origin = align_to(previous_origin + size_d, backend_ctx->alignment);
+        region.size = size_dm;
+        extra->dm = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        previous_origin = region.origin;
 
+        // Create subbuffer for s.
+        region.origin = align_to(previous_origin + size_dm, backend_ctx->alignment);
+        region.size = size_s;
+        extra->s = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        previous_origin = region.origin;
+
+        // Create subbuffer for q (lower 4 bits)
+        region.origin = align_to(previous_origin + size_s, backend_ctx->alignment);
+        region.size = size_q;
+        extra->q = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        previous_origin = region.origin;
+
+        // Create subbuffer for qh (upper 1 bit)
+        region.origin = align_to(previous_origin + size_q, backend_ctx->alignment);
+        region.size = size_qh;
+        CL_CHECK((extra->qh = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        CL_CHECK(err);
+
+        #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q5_K;
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_q5_K_noshuffle;
+        }
+        #else
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q5_K;
+        #endif
+
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->qh));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extra->dm));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_uchar), &mask_F0));
+
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clReleaseMemObject(data_device));
+
+        extra->size_q  = size_q;
+        extra->size_qh = size_qh;
+        extra->size_s  = size_s;
+        extra->size_d  = size_d;
+        extra->size_dm = size_dm;
+
+        tensor->extra = extra;
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            GGML_ASSERT(K % 32 == 0);
+
+            // Transpose q, d, dm as ushort, qh as uchar
+            transpose_2d_as_16b(backend_ctx, extra->q,  extra->q,  size_q,  K/4,   M);
+            transpose_2d_as_8b (backend_ctx, extra->qh, extra->qh, size_qh, K/8,   M);
+            transpose_2d_as_16b(backend_ctx, extra->d,  extra->d,  size_d,  K/256, M);
+            transpose_2d_as_16b(backend_ctx, extra->dm, extra->dm, size_dm, K/256, M);
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
         return;
     }
     if (tensor->type == GGML_TYPE_Q6_K) {
@@ -4851,61 +5361,58 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
             "Incorrect tensor size");
 
         cl_int err;
-        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
-            ggml_nbytes(tensor), NULL, &err);
-        CL_CHECK(err);
-        CL_CHECK(clEnqueueWriteBuffer(
-            queue, data_device, CL_TRUE, 0,
-            ggml_nbytes(tensor), data, 0, NULL, NULL));
+        cl_mem data_device;
+        CL_CHECK((data_device = clCreateBuffer(context, CL_MEM_READ_WRITE, ggml_nbytes(tensor), NULL, &err), err));
+        CL_CHECK(clEnqueueWriteBuffer(queue, data_device, CL_TRUE, 0, ggml_nbytes(tensor), data, 0, NULL, NULL));
 
         cl_buffer_region region;
 
         // Subbuffer for ql
         region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
         region.size = size_ql;
-        extra->ql = clCreateSubBuffer(
-            extra_orig->data_device, CL_MEM_READ_WRITE,
-            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
-        CL_CHECK(err);
+        CL_CHECK((extra->ql = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
         auto previous_origin = region.origin;
 
         // Subbuffer for qh
         region.origin = align_to(previous_origin + size_ql, backend_ctx->alignment);
         region.size = size_qh;
-        extra->qh = clCreateSubBuffer(
-            extra_orig->data_device, CL_MEM_READ_WRITE,
-            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
-        CL_CHECK(err);
+        CL_CHECK((extra->qh = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
         previous_origin = region.origin;
 
         // Subbuffer for scales
         region.origin = align_to(previous_origin + size_qh, backend_ctx->alignment);
         region.size = size_s;
-        extra->s = clCreateSubBuffer(
-            extra_orig->data_device, CL_MEM_READ_WRITE,
-            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
-        CL_CHECK(err);
+        CL_CHECK((extra->s = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
         previous_origin = region.origin;
 
         // Create subbuffer for d.
         region.origin = align_to(previous_origin + size_s, backend_ctx->alignment);
         region.size = size_d;
-        extra->d = clCreateSubBuffer(
-            extra_orig->data_device, CL_MEM_READ_WRITE,
-            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
-        CL_CHECK(err);
+        CL_CHECK((extra->d = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
         previous_origin = region.origin;
 
         // Flatten the weights
-        cl_kernel kernel = backend_ctx->kernel_convert_block_q6_K;
-
-        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device));
-        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->ql));
-        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->qh));
-        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->s));
-        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &extra->d));
+        cl_kernel kernel;
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        kernel = backend_ctx->kernel_convert_block_q6_K;
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_q6_K_noshuffle;
+        }
+#else
+        kernel = backend_ctx->kernel_convert_block_q6_K;
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
-        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        cl_uchar mask = 0xff;
+        cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->ql));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->qh));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &n_blk));
+
+        size_t global_work_size[] = {(size_t)CEIL_DIV(n_blk, 64)*64, 1, 1};
         size_t local_work_size[] = {64, 1, 1};
 
         cl_event evt;
@@ -4919,6 +5426,29 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
         extra->size_d  = size_d;
 
         tensor->extra  = extra;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            cl_int M = tensor->ne[1];   // ne01
+            cl_int K = tensor->ne[0];   // ne00
+
+            // Transpose ql as ushort
+            transpose_2d_as_16b(backend_ctx,
+                extra->ql, extra->ql, size_ql, K/4, M);
+
+            // Transpose qh as uchar
+            transpose_2d_as_8b(backend_ctx,
+                extra->qh, extra->qh, size_qh, K/4, M);
+
+            // Transpose s as ushort
+            transpose_2d_as_16b(backend_ctx,
+                extra->s, extra->s, size_s, K/16/2, M);
+
+            // Transpose d as ushort
+            transpose_2d_as_16b(backend_ctx,
+                extra->d, extra->d, size_d, K/256, M);
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
         return;
     }
 #endif // GGML_OPENCL_SOA_Q
@@ -5245,20 +5775,68 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
         CL_CHECK(clReleaseMemObject(data_device));
         return;
     }
-    if (tensor->type == GGML_TYPE_Q6_K) {
-        ggml_tensor_extra_cl_q6_K * extra = (ggml_tensor_extra_cl_q6_K *)tensor->extra;
+    if (tensor->type == GGML_TYPE_Q4_K) {
+        ggml_tensor_extra_cl_q4_K * extra = (ggml_tensor_extra_cl_q4_K *)tensor->extra;
 
         cl_int err;
         cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
             ggml_nbytes(tensor), NULL, &err);
         CL_CHECK(err);
 
-        cl_kernel kernel = backend_ctx->kernel_restore_block_q6_K;
-        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->ql));
-        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->qh));
-        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->s));
-        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->d));
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            size_t size_q  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+            size_t size_d  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+            size_t size_dm = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+
+            static ggml_cl_buffer buf_trans_q;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_trans_dm;
+
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_trans_dm.allocate(backend_ctx->context, size_dm);
+
+            // Transpose q, d, dm back
+            transpose_2d_as_16b(backend_ctx, extra->q,  buf_trans_q.buffer,  size_q,  M, K/4);
+            transpose_2d_as_16b(backend_ctx, extra->d,  buf_trans_d.buffer,  size_d,  M, K/256);
+            transpose_2d_as_16b(backend_ctx, extra->dm, buf_trans_dm.buffer, size_dm, M, K/256);
+
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q4_K_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->s));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &buf_trans_dm.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &data_device));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_0F));
+            CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_F0));
+
+            size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+                global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, data_device, CL_TRUE, offset,
+                size, data, 0, NULL, NULL));
+            CL_CHECK(clReleaseMemObject(data_device));
+            return;
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
+        cl_kernel kernel = backend_ctx->kernel_restore_block_q4_K;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->dm));
         CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_F0));
 
         size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
         size_t local_work_size[] = {1, 1, 1};
@@ -5273,13 +5851,182 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
         CL_CHECK(clReleaseMemObject(data_device));
         return;
     }
-#endif // GGML_OPENCL_SOA_Q
+    if (tensor->type == GGML_TYPE_Q5_K) {
+        ggml_tensor_extra_cl_q5_K * extra = (ggml_tensor_extra_cl_q5_K *)tensor->extra;
 
-    ggml_tensor_extra_cl * extra = (ggml_tensor_extra_cl *) tensor->extra;
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
 
-    CL_CHECK(clEnqueueReadBuffer(
-        queue, extra->data_device, CL_TRUE, extra->offset + tensor->view_offs + offset,
-        size, data, 0, NULL, NULL));
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            size_t size_q  = extra->size_q;
+            size_t size_qh = extra->size_qh;
+            size_t size_d  = extra->size_d;
+            size_t size_dm = extra->size_dm;
+
+            static ggml_cl_buffer buf_trans_q;
+            static ggml_cl_buffer buf_trans_qh;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_trans_dm;
+
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_qh.allocate(backend_ctx->context, size_qh);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_trans_dm.allocate(backend_ctx->context, size_dm);
+
+            // Reverse transpose q, qh, d, dm
+            transpose_2d_as_16b(backend_ctx, extra->q,  buf_trans_q.buffer,  size_q,  M, K/4);
+            transpose_2d_as_8b (backend_ctx, extra->qh, buf_trans_qh.buffer, size_qh, M, K/8);
+            transpose_2d_as_16b(backend_ctx, extra->d,  buf_trans_d.buffer,  size_d,  M, K/256);
+            transpose_2d_as_16b(backend_ctx, extra->dm, buf_trans_dm.buffer, size_dm, M, K/256);
+
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q5_K_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_qh.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->s));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &buf_trans_dm.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &data_device));
+            CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_0F));
+            CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_uchar), &mask_F0));
+
+            size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+                global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, data_device, CL_TRUE, offset,
+                size, data, 0, NULL, NULL));
+            CL_CHECK(clReleaseMemObject(data_device));
+            return;
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
+        cl_kernel kernel = backend_ctx->kernel_restore_block_q5_K;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->qh));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extra->dm));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_uchar), &mask_F0));
+
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {1, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+            global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clEnqueueReadBuffer(
+            queue, data_device, CL_TRUE, offset,
+            size, data, 0, NULL, NULL));
+        CL_CHECK(clReleaseMemObject(data_device));
+        return;
+    }
+    if (tensor->type == GGML_TYPE_Q6_K) {
+        ggml_tensor_extra_cl_q6_K * extra = (ggml_tensor_extra_cl_q6_K *)tensor->extra;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            static ggml_cl_buffer buf_trans_ql;
+            static ggml_cl_buffer buf_trans_qh;
+            static ggml_cl_buffer buf_trans_s;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_unpacked;
+
+            cl_int M = tensor->ne[1];   // ne01
+            cl_int K = tensor->ne[0];   // ne00
+
+            GGML_ASSERT(K % ggml_blck_size(tensor->type) == 0);
+
+            size_t size_ql = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+            size_t size_qh = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/4;
+            size_t size_s  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/16;
+            size_t size_d  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+            GGML_ASSERT(size_ql + size_qh + size_s + size_d == ggml_nbytes(tensor) && "Incorrect tensor size");
+
+            buf_trans_ql.allocate(backend_ctx->context, size_ql);
+            buf_trans_qh.allocate(backend_ctx->context, size_qh);
+            buf_trans_s.allocate(backend_ctx->context, size_s);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_unpacked.allocate(backend_ctx->context, ggml_nbytes(tensor));
+
+            // transpose ql, qh, s and d back
+            transpose_2d_as_16b(backend_ctx, extra->ql, buf_trans_ql.buffer, size_ql, M, K/4);
+            transpose_2d_as_8b(backend_ctx,  extra->qh, buf_trans_qh.buffer, size_qh, M, K/4);
+            transpose_2d_as_16b(backend_ctx, extra->s,  buf_trans_s.buffer,  size_s,  M, K/16/2);
+            transpose_2d_as_16b(backend_ctx, extra->d,  buf_trans_d.buffer,  size_d,  M, K/256);
+
+            // unpack
+            cl_uchar mask = 0xFF;
+            cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q6_K_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_ql.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_qh.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &buf_trans_s.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &buf_unpacked.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask));
+            CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &n_blk));
+
+            size_t global_work_size[] = {(size_t)n_blk, 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            cl_event evt;
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt));
+            CL_CHECK(clWaitForEvents(1, &evt));
+            CL_CHECK(clEnqueueReadBuffer(queue, buf_unpacked.buffer, CL_TRUE, offset, size, data, 0, NULL, NULL));
+
+            return;
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+
+        cl_uchar mask = 0xFF;
+        cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+        cl_kernel kernel = backend_ctx->kernel_restore_block_q6_K;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra->ql));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->qh));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &n_blk));
+
+        size_t global_work_size[] = {(size_t)n_blk, 1, 1};
+        size_t local_work_size[] = {1, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+            global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clEnqueueReadBuffer(
+            queue, data_device, CL_TRUE, offset,
+            size, data, 0, NULL, NULL));
+        CL_CHECK(clReleaseMemObject(data_device));
+        return;
+    }
+#endif // GGML_OPENCL_SOA_Q
+
+    ggml_tensor_extra_cl * extra = (ggml_tensor_extra_cl *) tensor->extra;
+
+    CL_CHECK(clEnqueueReadBuffer(
+        queue, extra->data_device, CL_TRUE, extra->offset + tensor->view_offs + offset,
+        size, data, 0, NULL, NULL));
 
     GGML_UNUSED(buffer);
 }
@@ -5308,6 +6055,8 @@ static ggml_backend_buffer_i ggml_backend_opencl_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_opencl_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_opencl_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_opencl_buffer_clear,
     /* .reset           = */ ggml_backend_opencl_buffer_reset,
@@ -5331,6 +6080,11 @@ static ggml_backend_buffer_t ggml_backend_opencl_buffer_type_alloc_buffer(ggml_b
 
     cl_int err;
     cl_mem mem = clCreateBuffer(backend_ctx->context, CL_MEM_READ_WRITE, size, NULL, &err);
+    if (err != CL_SUCCESS && backend_ctx->adreno_use_large_buffer) {
+        cl_mem_properties props[] = { 0x41A6 /* CL_LARGE_BUFFER_QCOM */, 1, 0 };
+        mem = clCreateBufferWithProperties(backend_ctx->context, props, CL_MEM_READ_WRITE, size, NULL, &err);
+    }
+
     if (err != CL_SUCCESS) {
         GGML_LOG_INFO("%s: failed to allocate %.2f MiB\n", __func__, size / 1024.0 / 1024.0);
         return nullptr;
@@ -5553,6 +6307,8 @@ typedef struct {
 static_assert(sizeof(block_q4_0) == sizeof(ggml_fp16_t) + QK4_0 / 2,
     "wrong q4_0 block size/padding");
 
+#define QK_MXFP4 32
+
 #include <math.h>
 #ifdef __cplusplus
 #include "half.hpp"
@@ -5596,7 +6352,7 @@ static void dump_tensor(ggml_backend_t backend, const struct ggml_tensor * tenso
         buf_d = malloc(size_e);
 
         CL_CHECK(clEnqueueReadBuffer(queue, extra->q, CL_TRUE, 0, size_q, buf_q, 0, NULL, NULL));
-        CL_CHECK(clEnqueueReadBuffer(queue, extra->d, CL_TRUE, 0, size_e, buf_d, 0, NULL, NULL));
+        CL_CHECK(clEnqueueReadBuffer(queue, extra->e, CL_TRUE, 0, size_e, buf_d, 0, NULL, NULL));
         CL_CHECK(clFinish(queue));
     } else {
         // Read out the tensor from GPU memory.
@@ -9093,19 +9849,18 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
     GGML_ASSERT(dst);
     GGML_ASSERT(dst->extra);
 
-    const enum ggml_type src0t = src0->type;
-    const enum ggml_type src1t = src1->type;
-
-    GGML_ASSERT(src0t == GGML_TYPE_Q8_0);
-    GGML_ASSERT(src1t == GGML_TYPE_F32);
+    GGML_ASSERT(src0->type == GGML_TYPE_Q8_0);
+    GGML_ASSERT(src1->type == GGML_TYPE_F32);
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
     ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
     ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
-
     ggml_tensor_extra_cl_q8_0 * extra0_q8_0 = (ggml_tensor_extra_cl_q8_0 *)src0->extra;
 
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
     GGML_ASSERT(src1->view_offs == 0);
     GGML_ASSERT(dst->view_offs == 0);
 
@@ -9126,203 +9881,725 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
     cl_context context = backend_ctx->context;
     cl_kernel kernel;
 
-    // init CL objects
-    cl_int              status;
-    cl_image_format     img_fmt_1d;
-    cl_image_desc       img_desc_1d;
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
     cl_buffer_region    region;
-    cl_mem              A_image1d;
-    cl_mem              B_image1d;
-    cl_mem              B_sub_buffer;
-    cl_mem              S_image1d;
-
-    cl_mem              D_image1d;
-    cl_mem              D_sub_buffer;
 
     int M = ne01;
     int N = ne1;
     int K = ne00;
 
-    // create an image for A
-    img_fmt_1d = { CL_R, CL_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = M * K / 4;    // Divide by 4 for char -> float
-    img_desc_1d.buffer = extra0_q8_0->q;
-    A_image1d = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
 
-    // create an image for Scale
-    img_fmt_1d = { CL_R, CL_HALF_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = M * K / 32;    // Block size is 32
-    img_desc_1d.buffer = extra0_q8_0->d;
-    S_image1d = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 4;
+        img_desc.buffer = extra0_q8_0->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
 
-    // create a sub_buffer for B
-    region.origin = (extra1->offset); // + src1->view_offs);
-    region.size = K * N * sizeof(float);
-    B_sub_buffer = clCreateSubBuffer((extra1->data_device), 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
-    CL_CHECK(status);
+        // create a sub_buffer for B
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer((extra1->data_device), 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
-    // create an image for B from sub_buffer: RGBA (OCL)
-    img_fmt_1d = {CL_RGBA, CL_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = K * N / 4;
-    img_desc_1d.buffer = B_sub_buffer;
-    B_image1d = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->CL_mul_mat_vec_q8_0_f32;
+
+        int r2 = 1;
+        int r3 = 1;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q8_0->d));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &extra1->offset));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &extrad->offset));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne10));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne0));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &r2));
+        CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
+
+        size_t wavesize = backend_ctx->adreno_wave_size;
+        size_t local_work_size[]  = { wavesize, 4, 1 };
+        size_t global_work_size[] = { CEIL_DIV(M, wavesize)*wavesize, 4, 1 };
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+    } else {
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size = K * (N + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
+        int height_B = N/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = K/4;
+        int padded_height_B = (N + padding)/4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_mul_mm_q8_0_f32_8x4;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q8_0->q));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q8_0->d));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &K));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &M));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &padded_N));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &N));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &offsetd));
+
+        size_t global_work_size[] = { (size_t)CEIL_DIV(N, 8), (size_t)CEIL_DIV(M, 4), 1 };
+        size_t local_work_size[]  = { 2, 128, 1 };
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
+static void ggml_cl_mul_mat_q4_k_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_q4_K * extra0_q4_k = (ggml_tensor_extra_cl_q4_K *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int  ne00 = src0->ne[0];
+    const int  ne01 = src0->ne[1];
+
+    const int  ne1 = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
+    cl_buffer_region    region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
+
+    cl_uchar mask_d6 = 0x3F;
+    cl_uchar mask_d4 = 0x0F;
+    cl_uchar mask_hi2 = 0xC0;
+
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer = extra0_q4_k->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_q4_k_f32;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_k->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q4_k->dm));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra0_q4_k->s));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_uchar), &mask_hi2));
+
+        size_t local_work_size[3] = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size = K * (N + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
+        int height_B = N/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = K/4;
+        int padded_height_B = (N + padding)/4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q4_k_f32;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0_q4_k->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_k->s));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q4_k->d));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra0_q4_k->dm));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_int),   &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_uchar), &mask_hi2));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3] = {1, 128, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
+static void ggml_cl_mul_mat_q6_K_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl_q6_K * extra0_q6_K = (ggml_tensor_extra_cl_q6_K *)src0->extra;
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int ne00 = src0->ne[0];
+    const int ne01 = src0->ne[1];
+
+    const int ne1 = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int           err;
+    cl_buffer_region region;
+    cl_image_format  img_fmt;
+    cl_image_desc    img_desc;
+
+    // subbuffer and image for activation
+    if (ne1 == 1) {
+        cl_mem ql_img = nullptr;
+        cl_mem qh_img = nullptr;
+        cl_mem b_sub_buffer = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for ql
+        img_fmt.image_channel_order = CL_R;
+        img_fmt.image_channel_data_type = CL_FLOAT;
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = ne01 * ne00 / 8;
+        img_desc.buffer = extra0_q6_K->ql;
+        CL_CHECK((ql_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // image for qh
+        img_fmt.image_channel_order = CL_R;
+        img_fmt.image_channel_data_type = CL_HALF_FLOAT;
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = ne01 * ne00 / 8;
+        img_desc.buffer = extra0_q6_K->qh;
+        CL_CHECK((qh_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        region.origin = offset1;
+        region.size = ne00 * ne1 * sizeof(float);
+        CL_CHECK((b_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        img_fmt.image_channel_order = CL_RGBA;
+        img_fmt.image_channel_data_type = CL_FLOAT;
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = ne00 * ne1 / 4;
+        img_desc.buffer = b_sub_buffer;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_q6_K_f32;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &ql_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &qh_img));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q6_K->s));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra0_q6_K->d));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &ne01));
+
+        size_t local_work_size[3] = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(ql_img));
+        CL_CHECK(clReleaseMemObject(qh_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buffer));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+        cl_mem b_sub_buf;
+        cl_mem b_buf_trans;
+        cl_mem b_img;
+        cl_mem b_img_trans;
+
+        // subbuffer for activation
+        region.origin = offset1;
+        region.size = ne00 * ne1 * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activation
+        img_fmt.image_channel_order = CL_RGBA;
+        img_fmt.image_channel_data_type = CL_FLOAT;
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = ne00 * ne1 / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = ne1 % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activation
+        region.origin = 0;
+        region.size = ne00 * (ne1 + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activation
+        img_fmt.image_channel_order = CL_RGBA;
+        img_fmt.image_channel_data_type = CL_HALF_FLOAT;
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = ne00 * (ne1 + padding) / 4;
+        img_desc.buffer = b_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activation
+        int height_B = ne1/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = ne00/4;
+        int padded_height_B = (ne1 + padding) / 4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_size_t[2] = { 1, 16 };
+        size_t global_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_size_t, local_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q6_K_f32;
+        int padded_N = ne1 + padding;
+
+        cl_ushort mask_f000 = 0xF000;
+        cl_uchar  mask_c0   = 0xC0;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q6_K->ql));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q6_K->qh));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q6_K->s));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q6_K->d));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &padded_N));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ushort),&mask_f000));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_c0));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3] = {2, 128, 1};
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
+static void ggml_cl_mul_mat_q5_K_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_q5_K * extra0_q5_k = (ggml_tensor_extra_cl_q5_K *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int ne00 = src0->ne[0];
+    const int ne01 = src0->ne[1];
+    const int ne1  = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int           err;
+    cl_image_format  img_fmt;
+    cl_image_desc    img_desc;
+    cl_buffer_region region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
 
-    // Create subbuffer and image1d_buffer for dst
-    region.origin = (extrad->offset); // + dst->view_offs;
-    region.size = M * N * sizeof(float);
-    D_sub_buffer = clCreateSubBuffer((extrad->data_device), 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
-    CL_CHECK(status);
+    cl_uchar mask_d6  = 0x3F;
+    cl_uchar mask_d4  = 0x0F;
+    cl_uchar mask_hi2 = 0xC0;
 
-    img_fmt_1d = {CL_R, CL_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = M * N;
-    img_desc_1d.buffer = D_sub_buffer;
-    D_image1d = clCreateImage(context, CL_MEM_WRITE_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
+    if (ne1 == 1) {
+        cl_mem q_img  = nullptr;
+        cl_mem qh_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q (CL_R, CL_UNSIGNED_INT32): width = M*K/2/4
+        img_fmt = {CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer      = extra0_q5_k->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
 
-    size_t local_work_size[3] = {1, 1, 1};
-    size_t global_work_size[3] = {1, 1, 1};
+        // image for qh (CL_R, CL_HALF_FLOAT): width = M*K/16
+        img_fmt = {CL_R, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 16;
+        img_desc.buffer      = extra0_q5_k->qh;
+        CL_CHECK((qh_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
 
-    if (N == 1) {
-        kernel = backend_ctx->CL_mul_mat_vec_q8_0_f32;
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size   = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
-        int r2 = 1;
-        int r3 = 1;
-        cl_uint k_arg = 0;
+        // image for activations (CL_RGBA, CL_FLOAT): width = K*N/4
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer      = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
 
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &A_image1d));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &extra0_q8_0->d));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &B_image1d));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_ulong), &extra1->offset));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &extrad->data_device));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_ulong), &extrad->offset));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne00));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne01));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne02));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne10));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne12));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne0));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne1));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &r2));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &r3));
+        kernel = backend_ctx->kernel_gemv_noshuffle_q5_k_f32;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &qh_img));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_k->d));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_k->dm));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_k->s));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_hi2));
+
+        size_t local_work_size[3]  = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
 
-        size_t wavesize = backend_ctx->adreno_wave_size;
-        local_work_size[0] = wavesize;
-        local_work_size[1] = 4; // reduce factor
-        local_work_size[2] = 1;
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 
-        global_work_size[0] = ((M + wavesize - 1) / wavesize) * wavesize;
-        global_work_size[1] = 4; // reduce factor
-        global_work_size[2] = 1;
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(qh_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
     } else {
-        cl_ulong offsetd = extrad->offset + dst->view_offs;
-        cl_mem              B_image1d_trans = nullptr;
-        // for B transpose
-        cl_mem B_d = nullptr;
-        int padding;
+        cl_mem b_sub_buf      = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img          = nullptr;
+        cl_mem b_img_trans    = nullptr;
 
-        //how many extra elements beyond multiple of 8
-        int extra_elements = N % 8;
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size   = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
-        //how much padding to add
-        padding = 0;
-        if (extra_elements > 0){
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer      = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0) {
             padding = 8 - extra_elements;
         }
 
-        // Specify the starting offset (in bytes)
+        // subbuffer for transposed activations
         region.origin = 0;
-        // Specify the size of the sub-buffer (divide by 2 for FP16)
-        region.size = K * (N + padding) * sizeof(float)/2;
+        region.size   = K * (N + padding) * sizeof(float) / 2;
         backend_ctx->prealloc_act_trans.allocate(context, region.size);
-        B_d = clCreateSubBuffer(
-            backend_ctx->prealloc_act_trans.buffer,
-            0,
-            CL_BUFFER_CREATE_TYPE_REGION,
-            &region,
-            &status);
-        CL_CHECK(status);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
-        cl_image_format image_format_B_d_output = { CL_RGBA, CL_HALF_FLOAT }; //(CL_HALF_FLOAT for FP16)
-        cl_image_desc image_desc_B_d_output = {
-            CL_MEM_OBJECT_IMAGE1D_BUFFER,
-            static_cast<size_t>(K * (N + padding)/4),
-            0, 0, 0, 0, 0, 0, 0, { B_d }
-        };
-        B_image1d_trans = clCreateImage(
-            context,
-            0,
-            &image_format_B_d_output,
-            &image_desc_B_d_output,
-            NULL,
-            &status);
-        CL_CHECK(status);
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer      = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
 
-        int height_B = N/4;
-        if (height_B == 0) {
-            height_B = 1;
-        }
-        int width_B = K/4;
-        int padded_height_B = (N + padding)/4;
+        // transpose activations
+        int height_B       = N / 4;
+        if (height_B == 0) height_B = 1;
+        int width_B        = K / 4;
+        int padded_height_B = (N + padding) / 4;
 
         kernel = backend_ctx->kernel_transpose_32_16;
-        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &B_image1d));
-        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &B_image1d_trans));
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
         CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
         CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
         CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
 
-        size_t local_size_t[2] = { 1, 16 };
-        size_t global_size_t[2] = {
-            static_cast<size_t>(width_B),
-            static_cast<size_t>(padded_height_B)
-        };
-
-        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_size_t, local_size_t, dst);
+        size_t local_work_size_t[2]  = {1, 16};
+        size_t global_work_size_t[2] = {(size_t)width_B, (size_t)padded_height_B};
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
 
-        kernel = backend_ctx->kernel_mul_mm_q8_0_f32_8x4;
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q5_k_f32;
+        int padded_N = N + padding;
 
-        int N_with_padding = N + padding;
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q5_k->q));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q5_k->qh));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_k->s));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_k->d));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_k->dm));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_int),   &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 14, sizeof(cl_uchar), &mask_hi2));
 
-        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q8_0->q));
-        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q8_0->d));
-        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &B_image1d_trans));
-        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extrad->data_device));
-        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &K));
-        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &M));
-        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &N_with_padding));
-        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &N));
-        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &offsetd));
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3]  = {1, 128, 1};
 
-        global_work_size[0] = (size_t)(N + 7) / 8;
-        global_work_size[1] = (size_t)(M + 3) / 4;
-        global_work_size[2] = 1;
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 
-        local_work_size[0] = 2;
-        local_work_size[1] = 128;
-        local_work_size[2] = 1;
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
     }
-
-    // enqueue kernel with profiling
-    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
-
-    // deallocate sub buffers and images
-    CL_CHECK(clReleaseMemObject(A_image1d));
-    CL_CHECK(clReleaseMemObject(B_sub_buffer));
-    CL_CHECK(clReleaseMemObject(B_image1d));
-    CL_CHECK(clReleaseMemObject(S_image1d));
-    CL_CHECK(clReleaseMemObject(D_sub_buffer));
-    CL_CHECK(clReleaseMemObject(D_image1d));
 #else
     GGML_UNUSED(backend);
     GGML_UNUSED(src0);
@@ -9357,6 +10634,8 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     ggml_tensor_extra_cl_q4_1 * extra0_q4_1 = (ggml_tensor_extra_cl_q4_1 *)src0->extra;
     ggml_tensor_extra_cl_mxfp4 * extra0_mxfp4 = (ggml_tensor_extra_cl_mxfp4 *)src0->extra;
     ggml_tensor_extra_cl_q8_0 * extra0_q8_0 = (ggml_tensor_extra_cl_q8_0 *)src0->extra;
+    ggml_tensor_extra_cl_q4_K * extra0_q4_K = (ggml_tensor_extra_cl_q4_K *)src0->extra;
+    ggml_tensor_extra_cl_q5_K * extra0_q5_K = (ggml_tensor_extra_cl_q5_K *)src0->extra;
     ggml_tensor_extra_cl_q6_K * extra0_q6_K = (ggml_tensor_extra_cl_q6_K *)src0->extra;
 #endif
 
@@ -9466,6 +10745,24 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
             return;
     }
 
+    // q4_k x fp32
+    if (src0t == GGML_TYPE_Q4_K && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q4_k_f32_adreno(backend, src0, src1, dst);
+            return;
+    }
+
+    // q6_K x fp32
+    if (src0t == GGML_TYPE_Q6_K && src1t == GGML_TYPE_F32) {
+        ggml_cl_mul_mat_q6_K_f32_adreno(backend, src0, src1, dst);
+        return;
+    }
+
+    // q5_K x fp32
+    if (src0t == GGML_TYPE_Q5_K && src1t == GGML_TYPE_F32) {
+        ggml_cl_mul_mat_q5_K_f32_adreno(backend, src0, src1, dst);
+        return;
+    }
+
     // q4_0 x fp32
     if(src0t == GGML_TYPE_Q4_0 && src1t == GGML_TYPE_F32) {
         // TODO: remove duplicate definitions of image description + format -- move to top
@@ -10005,6 +11302,95 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
                 backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
                 return;
             }
+            case GGML_TYPE_Q4_K: {
+                if (ne11 < 32) {
+                    break;
+                }
+                if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+                    break;
+                }
+
+                kernel = backend_ctx->kernel_mul_mm_q4_k_f32_l4_lm;
+                nth0 = 128; // calculated as (BM*BN)/(TM*TN)
+
+                int batch_stride_a = ne00*ne01;
+                int batch_stride_b = ne10*ne11;
+                int batch_stride_d = ne0*ne1;
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q4_K->q));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q4_K->s));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q4_K->d));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q4_K->dm));
+                CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra1->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offset1));
+                CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_mem),   &extrad->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &offsetd));
+                CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne00));
+                CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne01));
+                CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne02));
+                CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne11));
+                CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne12));
+                CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne10)); // stride_a
+                CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne10)); // stride_b
+                CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &ne01)); // stride_d
+                CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &batch_stride_a));
+                CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &batch_stride_b));
+                CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &batch_stride_d));
+                CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &r2));
+                CL_CHECK(clSetKernelArg(kernel, 20, sizeof(int),      &r3));
+
+                // 64 is block tile size BM and BN - change here when BM and BN in the kernel are changed.
+                size_t global_work_size[] = {(size_t)(CEIL_DIV(ne01, 64)*nth0), (size_t)(CEIL_DIV(ne11, 64)), (size_t)ne12*ne13};
+                size_t local_work_size[] = {(size_t)nth0, 1, 1};
+
+                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+                return;
+            }
+            case GGML_TYPE_Q5_K: {
+                if (ne11 < 32) {
+                    break;
+                }
+                if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+                    break;
+                }
+
+                kernel = backend_ctx->kernel_mul_mm_q5_k_f32_l4_lm;
+                nth0 = 128; // calculated as (BM*BN)/(TM*TN)
+
+                int batch_stride_a = ne00*ne01;
+                int batch_stride_b = ne10*ne11;
+                int batch_stride_d = ne0*ne1;
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q5_K->q));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q5_K->qh));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_K->s));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_K->d));
+                CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_K->dm));
+                CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extra1->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &offset1));
+                CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_mem),   &extrad->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &offsetd));
+                CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne00));
+                CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne01));
+                CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne02));
+                CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne11));
+                CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne12));
+                CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne10)); // stride_a
+                CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &ne10)); // stride_b
+                CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &ne01)); // stride_d
+                CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &batch_stride_a));
+                CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &batch_stride_b));
+                CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &batch_stride_d));
+                CL_CHECK(clSetKernelArg(kernel, 20, sizeof(int),      &r2));
+                CL_CHECK(clSetKernelArg(kernel, 21, sizeof(int),      &r3));
+
+                // 64 is block tile size BM and BN - change here when BM and BN in the kernel are changed.
+                size_t global_work_size[] = {(size_t)(CEIL_DIV(ne01, 64)*nth0), (size_t)(CEIL_DIV(ne11, 64)), (size_t)ne12*ne13};
+                size_t local_work_size[] = {(size_t)nth0, 1, 1};
+
+                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+                return;
+            }
             case GGML_TYPE_Q6_K: {
                 if (ne11 < 32) {
                     break;
@@ -10449,6 +11835,43 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K: {
+#ifdef GGML_OPENCL_SOA_Q
+            kernel = backend_ctx->kernel_mul_mv_q4_K_f32_flat;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 2;
+                ndst = 16;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q4_K->q));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q4_K->s));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q4_K->d));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q4_K->dm));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb01));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb02));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb03));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(cl_ulong), &nb11));
+            CL_CHECK(clSetKernelArg(kernel, 15, sizeof(cl_ulong), &nb12));
+            CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong), &nb13));
+            CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 20, sizeof(int),      &r3));
+#else
             kernel = backend_ctx->kernel_mul_mv_q4_K_f32;
 
             if (backend_ctx->gpu_family == INTEL) {
@@ -10482,9 +11905,84 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
             CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),        &ne1));
             CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),        &r2));
             CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),        &r3));
+#endif // GGML_OPENCL_SOA_Q
+            break;
+        }
+        case GGML_TYPE_Q5_K: {
+#ifdef GGML_OPENCL_SOA_Q
+                kernel = backend_ctx->kernel_mul_mv_q5_K_f32_flat;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 2;
+                ndst = 16;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q5_K->q));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q5_K->qh));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_K->s));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_K->d));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_K->dm));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int), &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int), &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb01));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb02));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_ulong), &nb03));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 15, sizeof(cl_ulong), &nb11));
+            CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong), &nb12));
+            CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_ulong), &nb13));
+            CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 20, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 21, sizeof(int),      &r3));
+#else
+            kernel = backend_ctx->kernel_mul_mv_q5_K_f32;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 1;
+                ndst = 4;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(int),      &offset0));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(int),      &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb01));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb02));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb03));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb11));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_ulong), &nb12));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(cl_ulong), &nb13));
+            CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &r3));
+#endif // GGML_OPENCL_SOA_Q
             break;
         }
-        case GGML_TYPE_Q5_K:
         case GGML_TYPE_Q6_K:
 #ifdef GGML_OPENCL_SOA_Q
             kernel = backend_ctx->kernel_mul_mv_q6_K_f32_flat;
@@ -10652,7 +12150,10 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     } else if (src0t == GGML_TYPE_Q3_K) {
         GGML_ASSERT(false && "not implemented");
     } else if (src0t == GGML_TYPE_Q5_K) {
-        GGML_ASSERT(false && "not implemented");
+        size_t global_work_size[] = {(size_t)(ne01+ndst*nth1-1)/(ndst*nth1)*nth0, (size_t)ne11*nth1, (size_t)ne12*ne13};
+        size_t local_work_size[] = {(size_t)nth0, (size_t)nth1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
     } else if (src0t == GGML_TYPE_Q6_K) {
         size_t global_work_size[] = {(size_t)(ne01+ndst*nth1-1)/(ndst*nth1)*nth0, (size_t)ne11*nth1, (size_t)ne12*ne13};
         size_t local_work_size[] = {(size_t)nth0, (size_t)nth1, 1};
diff --git a/ggml/src/ggml-opencl/kernels/cvt.cl b/ggml/src/ggml-opencl/kernels/cvt.cl
index 78ef9c177f6b76cafe7b52e4ccc6034ee5a5c586..39af32d282b87b896bf80bd940140dea41ad0c7b 100644
--- a/ggml/src/ggml-opencl/kernels/cvt.cl
+++ b/ggml/src/ggml-opencl/kernels/cvt.cl
@@ -28,6 +28,7 @@
 #define QK8_0                   32
 #define QR8_0                   1
 #define QK_K                    256
+#define K_SCALE_SIZE            (3 * QK_K / 64)
 #define K_QUANTS_PER_ITERATION  2
 
 typedef char int8_t;
@@ -55,6 +56,27 @@ struct block_q4_1 {
     uchar qs[QK4_1 / 2]; // nibbles / quants
 };
 
+//------------------------------------------------------------------------------
+// block_q4_k
+//------------------------------------------------------------------------------
+struct block_q4_K {
+    half d; // delta
+    half dm; // min
+    uchar s[K_SCALE_SIZE];
+    uchar q[QK_K / 2]; // nibbles / quants
+};
+
+//------------------------------------------------------------------------------
+// block_q5_k
+//------------------------------------------------------------------------------
+struct block_q5_K {
+    half d; // delta
+    half dm; // min
+    uchar s[K_SCALE_SIZE];
+    uchar qh[QK_K / 8];
+    uchar qs[QK_K / 2]; // nibbles / quants
+};
+
 //------------------------------------------------------------------------------
 // block_q6_K
 //------------------------------------------------------------------------------
@@ -408,6 +430,288 @@ kernel void kernel_restore_block_q8_0_trans(
     }
 }
 
+//------------------------------------------------------------------------------
+// kernel_convert_block_q4_K
+// Convert the block_q4_K format to 4 separate arrays (AOS -> SOA).
+// This kernel does not deshuffle the bits.
+// Each thread processes a super block.
+// Mask args are just to keep the signature consistent with the no-shuffle
+// version and they are not used in this kernel.
+//------------------------------------------------------------------------------
+kernel void kernel_convert_block_q4_K(
+    global struct block_q4_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_K * b = (global struct block_q4_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2*get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE*get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K/2; ++i) {
+        q[i] = b->q[i];
+    }
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+// Restore block_q4_K from flattened arrays.
+// Each thread processes a super block.
+// Mask args are just to keep the signature consistent with the no-shuffle ones.
+kernel void kernel_restore_block_q4_K(
+    global uchar * src_q,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q4_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_K * b = (global struct block_q4_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2*get_global_id(0);
+    global uchar * s  = (global uchar *) src_s + K_SCALE_SIZE*get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm  + get_global_id(0);
+
+    b->d  = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K/2; ++i) {
+        b->q[i] = q[i];
+    }
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
+kernel void kernel_convert_block_q4_K_noshuffle(
+    global struct block_q4_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_K * b = (global struct block_q4_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2 * get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar x0 = b->q[i*32 + 2*j];
+            uchar x1 = b->q[i*32 + 2*j + 1];
+            q[i*32 + j]      = convert_uchar(x0 & mask_0F) | convert_uchar((x1 & mask_0F) << 4);
+            q[i*32 + j + 16] = convert_uchar((x0 & mask_F0) >> 4)   | convert_uchar(x1 & mask_F0);
+        }
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+kernel void kernel_restore_block_q4_K_noshuffle(
+    global uchar * src_q,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q4_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_K * b = (global struct block_q4_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2 * get_global_id(0);
+    global uchar * s  = (global uchar *) src_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm + get_global_id(0);
+
+    b->d  = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar lo = q[i*32 + j];
+            uchar hi = q[i*32 + j + 16];
+            b->q[i*32 + 2*j]     = convert_uchar((lo & mask_0F) | ((hi & mask_0F) << 4));
+            b->q[i*32 + 2*j + 1] = convert_uchar(((lo & mask_F0) >> 4) | (hi & mask_F0));
+        }
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
+//------------------------------------------------------------------------------
+// kernel_convert_block_q5_K
+// Convert the block_q5_K format to 5 separate arrays (AOS -> SOA).
+// Each thread processes a super block.
+//------------------------------------------------------------------------------
+kernel void kernel_convert_block_q5_K(
+    global struct block_q5_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_qh,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2*get_global_id(0);
+    global uchar * qh = (global uchar *) dst_qh + QK_K/8*get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE*get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K/2; ++i) {
+        q[i] = b->qs[i];
+    }
+    for (int i = 0; i < QK_K/8; ++i) {
+        qh[i] = b->qh[i];
+    }
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+// Restore block_q5_K from flattened arrays.
+// Each thread processes a super block.
+kernel void kernel_restore_block_q5_K(
+    global uchar * src_q,
+    global uchar * src_qh,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q5_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2*get_global_id(0);
+    global uchar * qh = (global uchar *) src_qh + QK_K/8*get_global_id(0);
+    global uchar * s  = (global uchar *) src_s  + K_SCALE_SIZE*get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm + get_global_id(0);
+
+    b->d    = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K/2; ++i) {
+        b->qs[i] = q[i];
+    }
+    for (int i = 0; i < QK_K/8; ++i) {
+        b->qh[i] = qh[i];
+    }
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
+kernel void kernel_convert_block_q5_K_noshuffle(
+    global struct block_q5_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_qh,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2       * get_global_id(0);
+    global uchar * qh = (global uchar *) dst_qh + QK_K/8       * get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar x0 = b->qs[i*32 + 2*j];
+            uchar x1 = b->qs[i*32 + 2*j + 1];
+            q[i*32 + j]      = convert_uchar(x0 & mask_0F) | convert_uchar((x1 & mask_0F) << 4);
+            q[i*32 + j + 16] = convert_uchar((x0 & mask_F0) >> 4) | convert_uchar(x1 & mask_F0);
+        }
+    }
+
+    for (int l = 0; l < QK_K/8; ++l) {
+        uchar x0 = 0;
+        for (int i = 0; i < 8; ++i) {
+            x0 |= ((b->qh[(l%4)*8+i] >> (l/4)) & 0x01) << i;
+        }
+        qh[l] = x0;
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+kernel void kernel_restore_block_q5_K_noshuffle(
+    global uchar * src_q,
+    global uchar * src_qh,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q5_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2       * get_global_id(0);
+    global uchar * qh = (global uchar *) src_qh + QK_K/8       * get_global_id(0);
+    global uchar * s  = (global uchar *) src_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm + get_global_id(0);
+
+    b->d  = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar lo = q[i*32 + j];
+            uchar hi = q[i*32 + j + 16];
+            b->qs[i*32 + 2*j]     = convert_uchar((lo & mask_0F) | ((hi & mask_0F) << 4));
+            b->qs[i*32 + 2*j + 1] = convert_uchar(((lo & mask_F0) >> 4) | (hi & mask_F0));
+        }
+    }
+
+    for (int g = 0; g < 4; ++g) {
+        for (int i = 0; i < 8; ++i) {
+            uchar x0 = 0;
+            for (int k = 0; k < 8; ++k) {
+                x0 |= ((qh[4*k+g] >> i) & 0x01) << k;
+            }
+            b->qh[g*8+i] = x0;
+        }
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
 //------------------------------------------------------------------------------
 // kernel_convert_block_q6_K
 // Convert the block_q6_K format to 3 separate arrays (AOS -> SOA).
@@ -419,8 +723,13 @@ kernel void kernel_convert_block_q6_K(
     global uchar * dst_ql,
     global uchar * dst_qh,
     global char  * dst_s,
-    global half  * dst_d
+    global half  * dst_d,
+    uchar          mask_lsb_8,
+    ulong          n_blk
 ) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
     global struct block_q6_K * b = (global struct block_q6_K *) src0 + get_global_id(0);
     global uchar * ql = (global uchar *) dst_ql + QK_K/2*get_global_id(0);
     global uchar * qh = (global uchar *) dst_qh + QK_K/4*get_global_id(0);
@@ -447,8 +756,13 @@ kernel void kernel_restore_block_q6_K(
     global uchar * dst_qh,
     global char  * dst_s,
     global half  * dst_d,
-    global struct block_q6_K * dst
+    global struct block_q6_K * dst,
+    uchar mask_lsb_8,
+    ulong n_blk
 ) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
     global struct block_q6_K * b = (global struct block_q6_K *) dst + get_global_id(0);
     global uchar * ql = (global uchar *) dst_ql + QK_K/2*get_global_id(0);
     global uchar * qh = (global uchar *) dst_qh + QK_K/4*get_global_id(0);
@@ -467,3 +781,117 @@ kernel void kernel_restore_block_q6_K(
         b->scales[i] = s[i];
     }
 }
+
+kernel void kernel_convert_block_q6_K_noshuffle(
+    global struct block_q6_K * src0,
+    global uchar * dst_ql,
+    global uchar * dst_qh,
+    global char  * dst_s,
+    global half  * dst_d,
+    uchar          mask_lsb_8,
+    ulong          n_blk
+) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
+    global struct block_q6_K * b = (global struct block_q6_K *) src0 + get_global_id(0);
+    global uchar * ql = (global uchar *) dst_ql + QK_K/2*get_global_id(0);
+    global uchar * qh = (global uchar *) dst_qh + QK_K/4*get_global_id(0);
+    global char  * s  = (global char  *) dst_s  + QK_K/16*get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+
+    *d = b->d;
+
+    for (int i = 0; i < QK_K/2/4; ++i) {
+        uchar x0 = b->ql[i*2 + 0] & mask_lsb_8;
+        uchar x1 = b->ql[i*2 + 1] & mask_lsb_8;
+        ql[i +  0] = (x0 & 0x0F)        | ((x1 & 0x0F) << 4);
+        ql[i + 32] = ((x0 & 0xF0) >> 4) | (x1 & 0xF0);
+
+        uchar x2 = b->ql[i*2 + 0 + 64] & mask_lsb_8;
+        uchar x3 = b->ql[i*2 + 1 + 64] & mask_lsb_8;
+        ql[i + 64] = (x2 & 0x0F)        | ((x3 & 0x0F) << 4);
+        ql[i + 96] = ((x2 & 0xF0) >> 4) | (x3 & 0xF0);
+    }
+
+    for (int i = 0; i < QK_K/4/8; ++i) {
+        uchar x0 = b->qh[i*4 + 0] & mask_lsb_8;
+        uchar x1 = b->qh[i*4 + 1] & mask_lsb_8;
+        uchar x2 = b->qh[i*4 + 2] & mask_lsb_8;
+        uchar x3 = b->qh[i*4 + 3] & mask_lsb_8;
+        qh[i +  0] = (x0 & 0x03)        | ((x1 & 0x03) << 2) | ((x2 & 0x03) << 4) | ((x3 & 0x03) << 6);
+        qh[i +  8] = ((x0 & 0x0C) >> 2) | (x1 & 0x0C)        | ((x2 & 0x0C) << 2) | ((x3 & 0x0C) << 4);
+        qh[i + 16] = ((x0 & 0x30) >> 4) | ((x1 & 0x30) >> 2) | (x2 & 0x30)        | ((x3 & 0x30) << 2);
+        qh[i + 24] = ((x0 & 0xC0) >> 6) | ((x1 & 0xC0) >> 4) | ((x2 & 0xC0) >> 2) | (x3 & 0xC0);
+
+        uchar x4 = b->qh[i*4 + 0 + 32] & mask_lsb_8;
+        uchar x5 = b->qh[i*4 + 1 + 32] & mask_lsb_8;
+        uchar x6 = b->qh[i*4 + 2 + 32] & mask_lsb_8;
+        uchar x7 = b->qh[i*4 + 3 + 32] & mask_lsb_8;
+        qh[i + 32] = (x4 & 0x03)        | ((x5 & 0x03) << 2) | ((x6 & 0x03) << 4) | ((x7 & 0x03) << 6);
+        qh[i + 40] = ((x4 & 0x0C) >> 2) | (x5 & 0x0C)        | ((x6 & 0x0C) << 2) | ((x7 & 0x0C) << 4);
+        qh[i + 48] = ((x4 & 0x30) >> 4) | ((x5 & 0x30) >> 2) | (x6 & 0x30)        | ((x7 & 0x30) << 2);
+        qh[i + 56] = ((x4 & 0xC0) >> 6) | ((x5 & 0xC0) >> 4) | ((x6 & 0xC0) >> 2) | (x7 & 0xC0);
+    }
+
+    for (int i = 0; i < QK_K/16; ++i) {
+        s[i] = b->scales[i];
+    }
+}
+
+kernel void kernel_restore_block_q6_K_noshuffle(
+    global uchar * src_ql,
+    global uchar * src_qh,
+    global char  * src_s,
+    global half  * src_d,
+    global struct block_q6_K * dst,
+    uchar          mask_lsb_8,
+    ulong          n_blk
+) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
+    global struct block_q6_K * b = (global struct block_q6_K *) dst + get_global_id(0);
+    global uchar * ql = (global uchar *) src_ql + QK_K/2*get_global_id(0);
+    global uchar * qh = (global uchar *) src_qh + QK_K/4*get_global_id(0);
+    global char  * s  = (global char  *) src_s  + QK_K/16*get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+
+    b->d = *d;
+
+    for (int i = 0; i < QK_K/2/4; ++i) {
+        uchar x0   = ql[i +  0] & mask_lsb_8;
+        uchar x1   = ql[i + 32] & mask_lsb_8;
+        b->ql[i*2 + 0] = (x0 & 0x0F)        | ((x1 & 0x0F) << 4);
+        b->ql[i*2 + 1] = ((x0 & 0xF0) >> 4) | (x1 & 0xF0);
+
+        uchar x2   = ql[i + 64] & mask_lsb_8;
+        uchar x3   = ql[i + 96] & mask_lsb_8;
+        b->ql[i*2 + 0 + 64] = (x2 & 0x0F)        | ((x3 & 0x0F) << 4);
+        b->ql[i*2 + 1 + 64] = ((x2 & 0xF0) >> 4) | (x3 & 0xF0);
+    }
+
+    for (int i = 0; i < QK_K/4/8; ++i) {
+        uchar x0 = qh[i +  0] & mask_lsb_8;
+        uchar x1 = qh[i +  8] & mask_lsb_8;
+        uchar x2 = qh[i + 16] & mask_lsb_8;
+        uchar x3 = qh[i + 24] & mask_lsb_8;
+        b->qh[i*4 + 0] = (x0 & 0x03)        | ((x1 & 0x03) << 2) | ((x2 & 0x03) << 4) | ((x3 & 0x03) << 6);
+        b->qh[i*4 + 1] = ((x0 & 0x0C) >> 2) | (x1 & 0x0C)        | ((x2 & 0x0C) << 2) | ((x3 & 0x0C) << 4);
+        b->qh[i*4 + 2] = ((x0 & 0x30) >> 4) | ((x1 & 0x30) >> 2) | (x2 & 0x30)        | ((x3 & 0x30) << 2);
+        b->qh[i*4 + 3] = ((x0 & 0xC0) >> 6) | ((x1 & 0xC0) >> 4) | ((x2 & 0xC0) >> 2) | (x3 & 0xC0);
+
+        uchar x4 = qh[i +  0 + 32] & mask_lsb_8;
+        uchar x5 = qh[i +  8 + 32] & mask_lsb_8;
+        uchar x6 = qh[i + 16 + 32] & mask_lsb_8;
+        uchar x7 = qh[i + 24 + 32] & mask_lsb_8;
+        b->qh[i*4 + 0 + 32] = (x4 & 0x03)        | ((x5 & 0x03) << 2) | ((x6 & 0x03) << 4) | ((x7 & 0x03) << 6);
+        b->qh[i*4 + 1 + 32] = ((x4 & 0x0C) >> 2) | (x5 & 0x0C)        | ((x6 & 0x0C) << 2) | ((x7 & 0x0C) << 4);
+        b->qh[i*4 + 2 + 32] = ((x4 & 0x30) >> 4) | ((x5 & 0x30) >> 2) | (x6 & 0x30)        | ((x7 & 0x30) << 2);
+        b->qh[i*4 + 3 + 32] = ((x4 & 0xC0) >> 6) | ((x5 & 0xC0) >> 4) | ((x6 & 0xC0) >> 2) | (x7 & 0xC0);
+    }
+
+    for (int i = 0; i < QK_K/16; ++i) {
+        b->scales[i] = s[i];
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..99fd1fd7bf1e13c928c419a028faa1d1f0312c89
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_k_f32.cl
@@ -0,0 +1,172 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+#define QK_K         256
+#define K_SCALE_SIZE 12
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+kernel void kernel_gemm_noshuffle_q4_k_f32(
+    global const ushort * src0_q,
+    global const uchar  * src0_s,
+    global const half   * src0_d,
+    global const half   * src0_dm,
+    read_only image1d_buffer_t src1,
+    global float * dst,
+    ulong offsetd,
+    int m,
+    int n,
+    int k,
+    int n_no_padding,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    dst = (global float *)((global char *)dst + offsetd);
+    int n_4 = n >> 2;
+    int gy = get_global_id(0);
+    int gx = get_global_id(1);
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    int num_blocks_K = k / QK_K;
+
+    global const ushort * weight_ptr = src0_q + gx_2;
+    global const half   * d_ptr      = src0_d  + gx_2;
+    global const half   * dm_ptr     = src0_dm + gx_2;
+
+    for (int i = 0; i < k; i += 32) {
+        int sb_idx  = i / QK_K;
+        int sub_idx = (i / 32) % 8;
+
+        half4 d  = vload4(0, d_ptr  + sb_idx * m);
+        half4 dm = vload4(0, dm_ptr + sb_idx * m);
+
+        global const uchar * sc0 = src0_s + (gx_2+0) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc1 = src0_s + (gx_2+1) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc2 = src0_s + (gx_2+2) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc3 = src0_s + (gx_2+3) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+
+        uchar sv0, mn0, sv1, mn1, sv2, mn2, sv3, mn3;
+        get_scale_min_k4(sub_idx, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc2, &sv2, &mn2, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc3, &sv3, &mn3, mask_d6, mask_d4, mask_hi2);
+
+        half4 scale = convert_half4(convert_float4(d)  * convert_float4((uchar4)(sv0, sv1, sv2, sv3)));
+        half4 mval  = convert_half4(convert_float4(dm) * convert_float4((uchar4)(mn0, mn1, mn2, mn3)));
+
+        for (int l = 0; l < 32; l += 4) {
+            int ki = i + l;
+            ushort4 bits4 = vload4(0, weight_ptr + (ki/4) * m);
+
+            // j=0
+            B.s0123 = read_imageh(src1, gy*2   + (ki+0) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+0) * n_4);
+            dequantized_weights.s0 = (bits4.s0 & 0x000F) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (bits4.s1 & 0x000F) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (bits4.s2 & 0x000F) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (bits4.s3 & 0x000F) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=1
+            B.s0123 = read_imageh(src1, gy*2   + (ki+1) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+1) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0x00F0) >> 4) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0x00F0) >> 4) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0x00F0) >> 4) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0x00F0) >> 4) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=2
+            B.s0123 = read_imageh(src1, gy*2   + (ki+2) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+2) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0x0F00) >> 8) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0x0F00) >> 8) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0x0F00) >> 8) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0x0F00) >> 8) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=3
+            B.s0123 = read_imageh(src1, gy*2   + (ki+3) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+3) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0xF000) >> 12) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0xF000) >> 12) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0xF000) >> 12) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0xF000) >> 12) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+        }
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q5_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q5_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..058c0f7edc611ae49450da50f187daf8a8029d32
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q5_k_f32.cl
@@ -0,0 +1,176 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+#define QK_K         256
+#define K_SCALE_SIZE 12
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+kernel void kernel_gemm_noshuffle_q5_k_f32(
+    global const ushort * src0_q,
+    global const uchar  * src0_qh,
+    global const uchar  * src0_s,
+    global const half   * src0_d,
+    global const half   * src0_dm,
+    read_only image1d_buffer_t src1,
+    global float * dst,
+    ulong offsetd,
+    int m,
+    int n,
+    int k,
+    int n_no_padding,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    dst = (global float *)((global char *)dst + offsetd);
+    int n_4 = n >> 2;
+    int gy = get_global_id(0);
+    int gx = get_global_id(1);
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    int num_blocks_K = k / QK_K;
+
+    global const ushort * weight_ptr = src0_q  + gx_2;
+    global const uchar  * qh_ptr     = src0_qh + gx_2;
+    global const half   * d_ptr      = src0_d  + gx_2;
+    global const half   * dm_ptr     = src0_dm + gx_2;
+
+    for (int i = 0; i < k; i += 32) {
+        int sb_idx  = i / QK_K;
+        int sub_idx = (i / 32) % 8;
+
+        half4 d  = vload4(0, d_ptr  + sb_idx * m);
+        half4 dm = vload4(0, dm_ptr + sb_idx * m);
+
+        global const uchar * sc0 = src0_s + (gx_2+0) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc1 = src0_s + (gx_2+1) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc2 = src0_s + (gx_2+2) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc3 = src0_s + (gx_2+3) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+
+        uchar sv0, mn0, sv1, mn1, sv2, mn2, sv3, mn3;
+        get_scale_min_k4(sub_idx, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc2, &sv2, &mn2, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc3, &sv3, &mn3, mask_d6, mask_d4, mask_hi2);
+
+        half4 scale = convert_half4(convert_float4(d)  * convert_float4((uchar4)(sv0, sv1, sv2, sv3)));
+        half4 mval  = convert_half4(convert_float4(dm) * convert_float4((uchar4)(mn0, mn1, mn2, mn3)));
+
+        for (int l = 0; l < 32; l += 4) {
+            int ki = i + l;
+            ushort4 bits4   = vload4(0, weight_ptr + (ki/4) * m);
+            uchar4  qh_bits = vload4(0, qh_ptr     + (ki/8) * m);
+            int     qh_shift = ki % 8;
+
+            // j=0
+            B.s0123 = read_imageh(src1, gy*2   + (ki+0) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+0) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0x000F) | (((qh_bits.s0 >> (qh_shift+0)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0x000F) | (((qh_bits.s1 >> (qh_shift+0)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0x000F) | (((qh_bits.s2 >> (qh_shift+0)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0x000F) | (((qh_bits.s3 >> (qh_shift+0)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=1
+            B.s0123 = read_imageh(src1, gy*2   + (ki+1) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+1) * n_4);
+            dequantized_weights.s0 = (((bits4.s0 & 0x00F0) >> 4) | (((qh_bits.s0 >> (qh_shift+1)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (((bits4.s1 & 0x00F0) >> 4) | (((qh_bits.s1 >> (qh_shift+1)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (((bits4.s2 & 0x00F0) >> 4) | (((qh_bits.s2 >> (qh_shift+1)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (((bits4.s3 & 0x00F0) >> 4) | (((qh_bits.s3 >> (qh_shift+1)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=2
+            B.s0123 = read_imageh(src1, gy*2   + (ki+2) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+2) * n_4);
+            dequantized_weights.s0 = (((bits4.s0 & 0x0F00) >> 8) | (((qh_bits.s0 >> (qh_shift+2)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (((bits4.s1 & 0x0F00) >> 8) | (((qh_bits.s1 >> (qh_shift+2)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (((bits4.s2 & 0x0F00) >> 8) | (((qh_bits.s2 >> (qh_shift+2)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (((bits4.s3 & 0x0F00) >> 8) | (((qh_bits.s3 >> (qh_shift+2)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=3
+            B.s0123 = read_imageh(src1, gy*2   + (ki+3) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+3) * n_4);
+            dequantized_weights.s0 = (((bits4.s0 & 0xF000) >> 12) | (((qh_bits.s0 >> (qh_shift+3)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (((bits4.s1 & 0xF000) >> 12) | (((qh_bits.s1 >> (qh_shift+3)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (((bits4.s2 & 0xF000) >> 12) | (((qh_bits.s2 >> (qh_shift+3)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (((bits4.s3 & 0xF000) >> 12) | (((qh_bits.s3 >> (qh_shift+3)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+        }
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q6_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q6_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..3a9c624508a7add2bb64b19ccb966c32db7291da
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q6_k_f32.cl
@@ -0,0 +1,140 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+kernel void kernel_gemm_noshuffle_q6_K_f32(
+        global const ushort * src0_ql,
+        global const uchar  * src0_qh,
+        global const ushort * src0_s,
+        global const half   * src0_d,
+        read_only image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int m,
+        int n,
+        int k,
+        int n_no_padding,
+        ushort mask_f000,
+        uchar  mask_c0
+) {
+    dst = (global float *)( (global char *)dst + offsetd );
+
+    int m_4 = m >> 2;
+    int n_4 = n >> 2;
+
+    int gy = get_global_id(0); // n
+    int gx = get_global_id(1); // m
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    global const ushort * ptr_ql = src0_ql + gx_2;
+    global const uchar  * ptr_qh = src0_qh + gx_2;
+    global const ushort * ptr_s  = src0_s  + gx_2;
+    global const half   * ptr_d  = src0_d  + gx_2;
+
+    for (int i = 0; i < k; i += 4) {
+        // load 4x elements (ushort) of ql on M, each ushort contains 4 weights
+        // 4x ushort correspons to 4 rows on M
+        ushort4 bits4 = vload4(0, ptr_ql + (i/4)*m); // ql packed in 4s in ushort
+        uchar4  bits2 = vload4(0, ptr_qh + (i/4)*m); // qh packed in 4s in uchar
+
+        // load 4 consecutive scales
+        char8 scale_s_8 = as_char8(vload4(0, ptr_s + (i/16/2)*m)); // 1 char scale every 16 elements, packed in 2s
+        char4   scale_s = ((i/16) % 2) == 0 ? scale_s_8.s0246 : scale_s_8.s1357; // transposed as ushort, 2 blocks
+        half4   scale_d = vload4(0, ptr_d + (i/256)*m);  // 1 half scale every 256 elements
+
+        // j=0
+        // load 2x 4 elements of activations on N, corresponding to 8 rows on N
+        B.s0123 = read_imageh(src1, gy*2 + (i + 0)*n_4 + 0);
+        B.s4567 = read_imageh(src1, gy*2 + (i + 0)*n_4 + 1);
+        dequantized_weights.s0 = (convert_half((bits4.s0 & 0x000F) | ((bits2.s0 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0;
+        dequantized_weights.s1 = (convert_half((bits4.s1 & 0x000F) | ((bits2.s1 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s1;
+        dequantized_weights.s2 = (convert_half((bits4.s2 & 0x000F) | ((bits2.s2 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s2;
+        dequantized_weights.s3 = (convert_half((bits4.s3 & 0x000F) | ((bits2.s3 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=1
+        B.s0123 = read_imageh(src1, gy*2 + (i + 1)*n_4 + 0);
+        B.s4567 = read_imageh(src1, gy*2 + (i + 1)*n_4 + 1);
+        dequantized_weights.s0 = (convert_half((((bits4.s0 & 0x00F0) >> 4) | ((bits2.s0 & 0x0C) << 2))) - 32.f) * scale_s.s0 * scale_d.s0;
+        dequantized_weights.s1 = (convert_half((((bits4.s1 & 0x00F0) >> 4) | ((bits2.s1 & 0x0C) << 2))) - 32.f) * scale_s.s1 * scale_d.s1;
+        dequantized_weights.s2 = (convert_half((((bits4.s2 & 0x00F0) >> 4) | ((bits2.s2 & 0x0C) << 2))) - 32.f) * scale_s.s2 * scale_d.s2;
+        dequantized_weights.s3 = (convert_half((((bits4.s3 & 0x00F0) >> 4) | ((bits2.s3 & 0x0C) << 2))) - 32.f) * scale_s.s3 * scale_d.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=2
+        B.s0123 = read_imageh(src1, gy*2 + (i + 2)*n_4 + 0);
+        B.s4567 = read_imageh(src1, gy*2 + (i + 2)*n_4 + 1);
+        dequantized_weights.s0 = (convert_half((((bits4.s0 & 0x0F00) >> 8) | (bits2.s0 & 0x30))) - 32.f) * scale_s.s0 * scale_d.s0;
+        dequantized_weights.s1 = (convert_half((((bits4.s1 & 0x0F00) >> 8) | (bits2.s1 & 0x30))) - 32.f) * scale_s.s1 * scale_d.s1;
+        dequantized_weights.s2 = (convert_half((((bits4.s2 & 0x0F00) >> 8) | (bits2.s2 & 0x30))) - 32.f) * scale_s.s2 * scale_d.s2;
+        dequantized_weights.s3 = (convert_half((((bits4.s3 & 0x0F00) >> 8) | (bits2.s3 & 0x30))) - 32.f) * scale_s.s3 * scale_d.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=3
+        B.s0123 = read_imageh(src1, gy*2 + (i + 3)*n_4 + 0);
+        B.s4567 = read_imageh(src1, gy*2 + (i + 3)*n_4 + 1);
+        dequantized_weights.s0 = (convert_half((((bits4.s0 & mask_f000) >> 12) | ((bits2.s0 & mask_c0) >> 2))) - 32.f) * scale_s.s0 * scale_d.s0;
+        dequantized_weights.s1 = (convert_half((((bits4.s1 & mask_f000) >> 12) | ((bits2.s1 & mask_c0) >> 2))) - 32.f) * scale_s.s1 * scale_d.s1;
+        dequantized_weights.s2 = (convert_half((((bits4.s2 & mask_f000) >> 12) | ((bits2.s2 & mask_c0) >> 2))) - 32.f) * scale_s.s2 * scale_d.s2;
+        dequantized_weights.s3 = (convert_half((((bits4.s3 & mask_f000) >> 12) | ((bits2.s3 & mask_c0) >> 2))) - 32.f) * scale_s.s3 * scale_d.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..dd1e2b55c0b434ee7f438a92dbfe52beb3f481cb
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_k_f32.cl
@@ -0,0 +1,318 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
+#endif
+
+#define QK_K  256
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_hi(total_sums, bits4, scale, minv, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sums.s0 += ((bits4.s0 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s1 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sums.s0 += ((bits4.s2 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s3 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sums.s0 += ((bits4.s4 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s5 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sums.s0 += ((bits4.s6 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s7 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_lo(total_sums, bits4, scale, minv, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sums.s0 += ((bits4.s0 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s1 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sums.s0 += ((bits4.s2 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s3 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sums.s0 += ((bits4.s4 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s5 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sums.s0 += ((bits4.s6 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s7 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_hi(total_sums, bits4, scale, minv, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sums.s0 += ((bits4.s0 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s2 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s1 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s3 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sums.s0 += ((bits4.s4 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s6 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s5 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s7 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_lo(total_sums, bits4, scale, minv, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sums.s0 += ((bits4.s0 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s2 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s1 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s3 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sums.s0 += ((bits4.s4 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s6 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s5 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s7 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_q4_k_f32(
+        read_only  image1d_buffer_t src0_q,
+        global half2  * src0_d,
+        global half2  * src0_m,
+        global uchar  * src0_s,
+        read_only  image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        uchar mask_d6,
+        uchar mask_d4,
+        uchar mask_hi2)
+{
+    uint groupId = get_local_id(1);
+    uint gid     = get_global_id(0);
+    ushort slid  = get_sub_group_local_id();
+
+    uint K = ne00;
+    uint M = ne01;
+
+    uint LINE_STRIDE_A  = M / 2;
+    uint BLOCK_STRIDE_A = NSUBGROUPS * M;
+    uint scales_per_row = (K / QK_K) * 12;
+
+    private uint4     regA;
+    private half2     regS;
+    private half2     regM;
+    private float8    regB;
+
+    private float2 totalSum = (float2)(0.0f);
+
+    for (uint k = groupId; k < (K / 32); k += NSUBGROUPS) {
+        uint sb = k / 8;
+        uint j  = k % 8;
+
+        half2 d   = src0_d[gid + sb * LINE_STRIDE_A];
+        half2 dm  = src0_m[gid + sb * LINE_STRIDE_A];
+
+        global const uchar * sc0 = src0_s + 2 * gid * scales_per_row + sb * 12;
+        global const uchar * sc1 = src0_s + (2 * gid + 1) * scales_per_row + sb * 12;
+
+        uchar sv0, mn0, sv1, mn1;
+        get_scale_min_k4(j, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(j, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+
+        regS = convert_half2(convert_float2(d)  * convert_float2((uchar2)(sv0, sv1)));
+        regM = convert_half2(convert_float2(dm) * convert_float2((uchar2)(mn0, mn1)));
+
+        if (slid < 4) {
+            regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
+            regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
+        }
+
+        // load half weights for two blocks in consecutive rows
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+    }
+
+    // reduction in local memory, assumes #wave=4
+    local float2 reduceLM[SUBGROUP_SIZE * 3];
+    if (groupId == 1) {
+        reduceLM[SUBGROUP_SIZE * 0 + slid] = totalSum;
+    }
+    if (groupId == 2) {
+        reduceLM[SUBGROUP_SIZE * 1 + slid] = totalSum;
+    }
+    if (groupId == 3) {
+        reduceLM[SUBGROUP_SIZE * 2 + slid] = totalSum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 0 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 1 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 2 + slid];
+    }
+
+    // 2 outputs per fiber in wave 0
+    if (groupId == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(totalSum, 0, &(dst[gid * 2]));
+    }
+
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q5_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q5_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..c40db166638a0df3fb51e011776409102b1ea10b
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q5_k_f32.cl
@@ -0,0 +1,326 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
+#endif
+
+#define QK_K  256
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_hi(total_sums, bits4, bits1, scale, minv, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x000F) | ((bits1.s0 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x000F) | ((bits1.s1 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4) | (((bits1.s0 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4) | (((bits1.s1 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8) | (((bits1.s0 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8) | (((bits1.s1 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s0 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s1 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x000F) | (((bits1.s0 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x000F) | (((bits1.s1 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4) | (((bits1.s0 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4) | (((bits1.s1 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8) | (((bits1.s0 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8) | (((bits1.s1 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s0 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s1 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x000F) | ((bits1.s2 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x000F) | ((bits1.s3 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4) | (((bits1.s2 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4) | (((bits1.s3 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8) | (((bits1.s2 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8) | (((bits1.s3 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s2 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s3 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x000F) | (((bits1.s2 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x000F) | (((bits1.s3 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4) | (((bits1.s2 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4) | (((bits1.s3 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8) | (((bits1.s2 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8) | (((bits1.s3 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s2 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s3 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_lo(total_sums, bits4, bits1, scale, minv, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x000F) | ((bits1.s4 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x000F) | ((bits1.s5 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4) | (((bits1.s4 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4) | (((bits1.s5 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8) | (((bits1.s4 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8) | (((bits1.s5 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s4 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s5 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x000F) | (((bits1.s4 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x000F) | (((bits1.s5 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4) | (((bits1.s4 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4) | (((bits1.s5 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8) | (((bits1.s4 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8) | (((bits1.s5 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s4 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s5 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x000F) | ((bits1.s6 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x000F) | ((bits1.s7 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4) | (((bits1.s6 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4) | (((bits1.s7 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8) | (((bits1.s6 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8) | (((bits1.s7 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s6 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s7 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x000F) | (((bits1.s6 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x000F) | (((bits1.s7 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4) | (((bits1.s6 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4) | (((bits1.s7 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8) | (((bits1.s6 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8) | (((bits1.s7 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s6 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s7 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_hi(total_sums, bits4, bits1, scale, minv, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x000F)         | ((bits1.s0 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4)  | (((bits1.s0 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8)  | (((bits1.s0 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s0 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s2 & 0x000F)         | (((bits1.s0 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4)  | (((bits1.s0 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8)  | (((bits1.s0 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s0 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s1 & 0x000F)         | ((bits1.s1 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4)  | (((bits1.s1 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8)  | (((bits1.s1 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s1 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s3 & 0x000F)         | (((bits1.s1 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4)  | (((bits1.s1 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8)  | (((bits1.s1 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s1 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x000F)         | ((bits1.s2 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4)  | (((bits1.s2 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8)  | (((bits1.s2 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s2 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s6 & 0x000F)         | (((bits1.s2 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4)  | (((bits1.s2 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8)  | (((bits1.s2 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s2 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s5 & 0x000F)         | ((bits1.s3 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4)  | (((bits1.s3 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8)  | (((bits1.s3 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s3 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s7 & 0x000F)         | (((bits1.s3 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4)  | (((bits1.s3 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8)  | (((bits1.s3 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s3 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_lo(total_sums, bits4, bits1, scale, minv, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x000F)         | ((bits1.s4 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4)  | (((bits1.s4 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8)  | (((bits1.s4 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s4 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s2 & 0x000F)         | (((bits1.s4 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4)  | (((bits1.s4 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8)  | (((bits1.s4 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s4 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s1 & 0x000F)         | ((bits1.s5 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4)  | (((bits1.s5 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8)  | (((bits1.s5 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s5 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s3 & 0x000F)         | (((bits1.s5 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4)  | (((bits1.s5 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8)  | (((bits1.s5 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s5 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x000F)         | ((bits1.s6 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4)  | (((bits1.s6 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8)  | (((bits1.s6 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s6 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s6 & 0x000F)         | (((bits1.s6 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4)  | (((bits1.s6 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8)  | (((bits1.s6 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s6 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s5 & 0x000F)         | ((bits1.s7 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4)  | (((bits1.s7 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8)  | (((bits1.s7 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s7 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s7 & 0x000F)         | (((bits1.s7 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4)  | (((bits1.s7 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8)  | (((bits1.s7 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s7 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_q5_k_f32(
+        read_only  image1d_buffer_t src0_q,
+        read_only  image1d_buffer_t src0_qh,
+        global half2  * src0_d,
+        global half2  * src0_m,
+        global uchar  * src0_s,
+        read_only  image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        uchar mask_d6,
+        uchar mask_d4,
+        uchar mask_hi2)
+{
+    uint groupId = get_local_id(1);
+    uint gid     = get_global_id(0);
+    ushort slid  = get_sub_group_local_id();
+
+    uint K = ne00;
+    uint M = ne01;
+
+    uint LINE_STRIDE_A     = M / 2;
+    uint BLOCK_STRIDE_A    = NSUBGROUPS * M;
+
+    uint LINE_STRIDE_A_QH  = M / 2;
+    uint BLOCK_STRIDE_A_QH = NSUBGROUPS * M / 2;
+    uint scales_per_row    = (K / QK_K) * 12;
+
+    private uint4     regA;
+    private ushort4   regH;
+    private half2     regS;
+    private half2     regM;
+    private float8    regB;
+
+    private float2 totalSum = (float2)(0.0f);
+
+    for (uint k = groupId; k < (K / 32); k += NSUBGROUPS) {
+        uint sb = k / 8;
+        uint j  = k % 8;
+
+        half2 d   = src0_d[gid + sb * LINE_STRIDE_A];
+        half2 dm  = src0_m[gid + sb * LINE_STRIDE_A];
+
+        global const uchar * sc0 = src0_s + 2 * gid * scales_per_row + sb * 12;
+        global const uchar * sc1 = src0_s + (2 * gid + 1) * scales_per_row + sb * 12;
+
+        uchar sv0, mn0, sv1, mn1;
+        get_scale_min_k4(j, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(j, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+
+        regS = convert_half2(convert_float2(d)  * convert_float2((uchar2)(sv0, sv1)));
+        regM = convert_half2(convert_float2(dm) * convert_float2((uchar2)(mn0, mn1)));
+
+        if (slid < 4) {
+            regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
+            regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
+        }
+
+        regH.s0 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 0)).x);
+        regH.s1 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 1)).x);
+        regH.s2 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 2)).x);
+        regH.s3 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 3)).x);
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+    }
+
+    // reduction in local memory, assumes #wave=4
+    local float2 reduceLM[SUBGROUP_SIZE * 3];
+    if (groupId == 1) {
+        reduceLM[SUBGROUP_SIZE * 0 + slid] = totalSum;
+    }
+    if (groupId == 2) {
+        reduceLM[SUBGROUP_SIZE * 1 + slid] = totalSum;
+    }
+    if (groupId == 3) {
+        reduceLM[SUBGROUP_SIZE * 2 + slid] = totalSum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 0 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 1 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 2 + slid];
+    }
+
+    // 2 outputs per fiber in wave 0
+    if (groupId == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(totalSum, 0, &(dst[gid * 2]));
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q6_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q6_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..6f89cf968b93312baa600ef203878191f0e27d5f
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q6_k_f32.cl
@@ -0,0 +1,293 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+#define dequantize_block_acc_bcast_8_hi(total_sum, bits4, bits2, scale_d, scale_s, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x000F)      ) | ((bits2.s0 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s0; \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x00F0) >>  4) | ((bits2.s0 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s1; \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x0F00) >>  8) | ((bits2.s0 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s2; \
+    total_sum.s0 += ((float)(((bits4.s0 & 0xF000) >> 12) | ((bits2.s0 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s3; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x000F)      ) | ((bits2.s2 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s4; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x00F0) >>  4) | ((bits2.s2 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s5; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x0F00) >>  8) | ((bits2.s2 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s6; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0xF000) >> 12) | ((bits2.s2 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s7; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x000F)      ) | ((bits2.s1 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s0; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x00F0) >>  4) | ((bits2.s1 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s1; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x0F00) >>  8) | ((bits2.s1 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s2; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0xF000) >> 12) | ((bits2.s1 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s3; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x000F)      ) | ((bits2.s3 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s4; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x00F0) >>  4) | ((bits2.s3 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s5; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x0F00) >>  8) | ((bits2.s3 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s6; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0xF000) >> 12) | ((bits2.s3 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x000F)      ) | ((bits2.s4 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s0; \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x00F0) >>  4) | ((bits2.s4 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s1; \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x0F00) >>  8) | ((bits2.s4 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s2; \
+    total_sum.s0 += ((float)(((bits4.s4 & 0xF000) >> 12) | ((bits2.s4 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s3; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x000F)      ) | ((bits2.s6 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s4; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x00F0) >>  4) | ((bits2.s6 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s5; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x0F00) >>  8) | ((bits2.s6 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s6; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0xF000) >> 12) | ((bits2.s6 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y.s7; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x000F)      ) | ((bits2.s5 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s0; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x00F0) >>  4) | ((bits2.s5 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s1; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x0F00) >>  8) | ((bits2.s5 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s2; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0xF000) >> 12) | ((bits2.s5 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s3; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x000F)      ) | ((bits2.s7 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s4; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x00F0) >>  4) | ((bits2.s7 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s5; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x0F00) >>  8) | ((bits2.s7 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s6; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0xF000) >> 12) | ((bits2.s7 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y.s7; \
+
+#define dequantize_block_acc_bcast_8_lo(total_sum, bits4, bits2, scale_d, scale_s, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x000F)      ) | ((bits2.s0 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s0; \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x00F0) >>  4) | ((bits2.s0 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s1; \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x0F00) >>  8) | ((bits2.s0 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s2; \
+    total_sum.s0 += ((float)(((bits4.s0 & 0xF000) >> 12) | ((bits2.s0 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s3; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x000F)      ) | ((bits2.s2 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s4; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x00F0) >>  4) | ((bits2.s2 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s5; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x0F00) >>  8) | ((bits2.s2 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s6; \
+    total_sum.s0 += ((float)(((bits4.s2 & 0xF000) >> 12) | ((bits2.s2 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s7; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x000F)      ) | ((bits2.s1 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s0; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x00F0) >>  4) | ((bits2.s1 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s1; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x0F00) >>  8) | ((bits2.s1 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s2; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0xF000) >> 12) | ((bits2.s1 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s3; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x000F)      ) | ((bits2.s3 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s4; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x00F0) >>  4) | ((bits2.s3 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s5; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x0F00) >>  8) | ((bits2.s3 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s6; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0xF000) >> 12) | ((bits2.s3 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x000F)      ) | ((bits2.s4 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s0; \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x00F0) >>  4) | ((bits2.s4 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s1; \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x0F00) >>  8) | ((bits2.s4 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s2; \
+    total_sum.s0 += ((float)(((bits4.s4 & 0xF000) >> 12) | ((bits2.s4 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s3; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x000F)      ) | ((bits2.s6 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s4; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x00F0) >>  4) | ((bits2.s6 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s5; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x0F00) >>  8) | ((bits2.s6 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s6; \
+    total_sum.s0 += ((float)(((bits4.s6 & 0xF000) >> 12) | ((bits2.s6 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y.s7; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x000F)      ) | ((bits2.s5 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s0; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x00F0) >>  4) | ((bits2.s5 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s1; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x0F00) >>  8) | ((bits2.s5 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s2; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0xF000) >> 12) | ((bits2.s5 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s3; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x000F)      ) | ((bits2.s7 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s4; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x00F0) >>  4) | ((bits2.s7 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s5; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x0F00) >>  8) | ((bits2.s7 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s6; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0xF000) >> 12) | ((bits2.s7 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y.s7; \
+
+#define dequantize_block_acc_bcast_1_hi(total_sum, bits4, bits2, scale_d, scale_s, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x000F)      ) | ((bits2.s0 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x000F)      ) | ((bits2.s1 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x00F0) >>  4) | ((bits2.s0 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x00F0) >>  4) | ((bits2.s1 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x0F00) >>  8) | ((bits2.s0 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x0F00) >>  8) | ((bits2.s1 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0xF000) >> 12) | ((bits2.s0 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0xF000) >> 12) | ((bits2.s1 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x000F)      ) | ((bits2.s2 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x000F)      ) | ((bits2.s3 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x00F0) >>  4) | ((bits2.s2 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x00F0) >>  4) | ((bits2.s3 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x0F00) >>  8) | ((bits2.s2 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x0F00) >>  8) | ((bits2.s3 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0xF000) >> 12) | ((bits2.s2 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0xF000) >> 12) | ((bits2.s3 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x000F)      ) | ((bits2.s4 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x000F)      ) | ((bits2.s5 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x00F0) >>  4) | ((bits2.s4 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x00F0) >>  4) | ((bits2.s5 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x0F00) >>  8) | ((bits2.s4 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x0F00) >>  8) | ((bits2.s5 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0xF000) >> 12) | ((bits2.s4 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0xF000) >> 12) | ((bits2.s5 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x000F)      ) | ((bits2.s6 & 0x03) << 4)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x000F)      ) | ((bits2.s7 & 0x03) << 4)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x00F0) >>  4) | ((bits2.s6 & 0x0C) << 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x00F0) >>  4) | ((bits2.s7 & 0x0C) << 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x0F00) >>  8) | ((bits2.s6 & 0x30)     )) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x0F00) >>  8) | ((bits2.s7 & 0x30)     )) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0xF000) >> 12) | ((bits2.s6 & 0xC0) >> 2)) - 32.f) * scale_s.s0 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0xF000) >> 12) | ((bits2.s7 & 0xC0) >> 2)) - 32.f) * scale_s.s2 * scale_d.s1 * shared_y; \
+
+#define dequantize_block_acc_bcast_1_lo(total_sum, bits4, bits2, scale_d, scale_s, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x000F)      ) | ((bits2.s0 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x000F)      ) | ((bits2.s1 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x00F0) >>  4) | ((bits2.s0 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x00F0) >>  4) | ((bits2.s1 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0x0F00) >>  8) | ((bits2.s0 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0x0F00) >>  8) | ((bits2.s1 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sum.s0 += ((float)(((bits4.s0 & 0xF000) >> 12) | ((bits2.s0 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s1 & 0xF000) >> 12) | ((bits2.s1 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x000F)      ) | ((bits2.s2 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x000F)      ) | ((bits2.s3 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x00F0) >>  4) | ((bits2.s2 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x00F0) >>  4) | ((bits2.s3 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0x0F00) >>  8) | ((bits2.s2 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0x0F00) >>  8) | ((bits2.s3 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sum.s0 += ((float)(((bits4.s2 & 0xF000) >> 12) | ((bits2.s2 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s3 & 0xF000) >> 12) | ((bits2.s3 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x000F)      ) | ((bits2.s4 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x000F)      ) | ((bits2.s5 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x00F0) >>  4) | ((bits2.s4 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x00F0) >>  4) | ((bits2.s5 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0x0F00) >>  8) | ((bits2.s4 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0x0F00) >>  8) | ((bits2.s5 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sum.s0 += ((float)(((bits4.s4 & 0xF000) >> 12) | ((bits2.s4 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s5 & 0xF000) >> 12) | ((bits2.s5 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x000F)      ) | ((bits2.s6 & 0x03) << 4)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x000F)      ) | ((bits2.s7 & 0x03) << 4)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x00F0) >>  4) | ((bits2.s6 & 0x0C) << 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x00F0) >>  4) | ((bits2.s7 & 0x0C) << 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0x0F00) >>  8) | ((bits2.s6 & 0x30)     )) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0x0F00) >>  8) | ((bits2.s7 & 0x30)     )) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sum.s0 += ((float)(((bits4.s6 & 0xF000) >> 12) | ((bits2.s6 & 0xC0) >> 2)) - 32.f) * scale_s.s1 * scale_d.s0 * shared_y; \
+    total_sum.s1 += ((float)(((bits4.s7 & 0xF000) >> 12) | ((bits2.s7 & 0xC0) >> 2)) - 32.f) * scale_s.s3 * scale_d.s1 * shared_y; \
+
+#if defined(ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_q6_K_f32(
+    read_only image1d_buffer_t src0_ql,
+    read_only image1d_buffer_t src0_qh,
+    global half2 * src0_s,
+    global half2 * src0_d,
+    read_only image1d_buffer_t src1,
+    global float * dst,
+    ulong offsetd,
+    int ne00,
+    int ne01
+) {
+    int grp = get_local_id(1);
+    int gid = get_global_id(0);
+    ushort slid = get_sub_group_local_id();
+
+    int nb = ne00 / 32;
+
+    uint4    reg_a_l;
+    ushort4  reg_a_h;
+    half2    reg_d;
+    char4    reg_s;
+    float8   reg_b;
+
+    float2  total_sum = 0.0f;
+
+    int line_stride_a = ne01 / 2;
+    int block_stride_a = NSUBGROUPS * ne01;
+
+    for (int k = grp; k < nb; k += NSUBGROUPS) {
+        reg_d = src0_d[gid + k/8 * line_stride_a];
+        reg_s = as_char4(src0_s[gid + k * line_stride_a]);
+
+        if (slid < 4) {
+            reg_b.s0123 = read_imagef(src1, 0 + slid*2 + k*8);
+            reg_b.s4567 = read_imagef(src1, 1 + slid*2 + k*8);
+        }
+
+        reg_a_l.s0 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*0).x;
+        reg_a_l.s1 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*1).x;
+        reg_a_l.s2 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*2).x;
+        reg_a_l.s3 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*3).x;
+
+        reg_a_h.s0 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*0).x);
+        reg_a_h.s1 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*1).x);
+        reg_a_h.s2 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*2).x);
+        reg_a_h.s3 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*3).x);
+
+#ifdef VECTOR_SUB_GROUP_BROADCAT
+        dequantize_block_acc_bcast_8_hi(total_sum, as_ushort8(reg_a_l), as_uchar8(reg_a_h), reg_d, reg_s, reg_b);
+#else
+        dequantize_block_acc_bcast_1_hi(total_sum, as_ushort8(reg_a_l), as_uchar8(reg_a_h), reg_d, reg_s, reg_b);
+#endif // VECTOR_SUB_GROUP_BROADCAT
+
+        reg_a_l.s0 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*4).x;
+        reg_a_l.s1 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*5).x;
+        reg_a_l.s2 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*6).x;
+        reg_a_l.s3 = read_imageui(src0_ql, gid + k*block_stride_a + line_stride_a*7).x;
+
+        reg_a_h.s0 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*4).x);
+        reg_a_h.s1 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*5).x);
+        reg_a_h.s2 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*6).x);
+        reg_a_h.s3 = as_ushort(read_imageh(src0_qh, gid + k*block_stride_a + line_stride_a*7).x);
+
+#ifdef VECTOR_SUB_GROUP_BROADCAT
+        dequantize_block_acc_bcast_8_lo(total_sum, as_ushort8(reg_a_l), as_uchar8(reg_a_h), reg_d, reg_s, reg_b);
+#else
+        dequantize_block_acc_bcast_1_lo(total_sum, as_ushort8(reg_a_l), as_uchar8(reg_a_h), reg_d, reg_s, reg_b);
+#endif // VECTOR_SUB_GROUP_BROADCAT
+    }
+
+    local float2 reduce_lm[SUBGROUP_SIZE * 3];
+    if (grp == 1) {
+        reduce_lm[SUBGROUP_SIZE*0 + slid] = total_sum;
+    }
+    if (grp == 2) {
+        reduce_lm[SUBGROUP_SIZE*1 + slid] = total_sum;
+    }
+    if (grp == 3) {
+        reduce_lm[SUBGROUP_SIZE*2 + slid] = total_sum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (grp == 0) {
+        total_sum += reduce_lm[SUBGROUP_SIZE*0 + slid];
+    }
+    if (grp == 0) {
+        total_sum += reduce_lm[SUBGROUP_SIZE*1 + slid];
+    }
+    if (grp == 0) {
+        total_sum += reduce_lm[SUBGROUP_SIZE*2 + slid];
+    }
+
+    if (grp == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(total_sum, 0, &(dst[gid * 2]));
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q4_k_f32_l4_lm.cl b/ggml/src/ggml-opencl/kernels/mul_mm_q4_k_f32_l4_lm.cl
new file mode 100644
index 0000000000000000000000000000000000000000..2235b1ae838778a7af00b3654e760bb64073b652
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mm_q4_k_f32_l4_lm.cl
@@ -0,0 +1,179 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define LOAD_VEC_A 4
+#define LOAD_VEC_B 4
+
+#define BM 64
+#define BN 64
+#define BK 32
+#define TM 4
+#define TN 8
+
+kernel void kernel_mul_mm_q4_k_f32_l4_lm(
+    global uchar4 * src0_q,
+    global uchar  * src0_s,
+    global half   * src0_d,
+    global half   * src0_dm,
+    global float4 * src1,
+    ulong offset1,
+    global float  * dst,
+    ulong offsetd,
+
+    int ne00,
+    int ne01,
+    int ne02,
+    int ne11,
+    int ne12,
+
+    int stride_a,
+    int stride_b,
+    int stride_d,
+
+    int batch_stride_a,
+    int batch_stride_b,
+    int batch_stride_d,
+
+    int r2,
+    int r3
+) {
+    src1 = (global float4*)((global char*)src1 + offset1);
+    dst  = (global float *)((global char*)dst  + offsetd);
+
+    local float buf_a[BM * BK];
+    local float buf_b[BN * BK];
+
+    const int batch_idx = get_global_id(2);
+
+    const int i13 = batch_idx / ne12;
+    const int i12 = batch_idx % ne12;
+
+    const int i03 = i13 / r3;
+    const int i02 = i12 / r2;
+
+    const int batch_idx_a = i03 * ne02 + i02;
+
+    const int ir = get_group_id(0);
+    const int ic = get_group_id(1);
+
+    const int tid = get_local_id(0);
+    const int th_r  = tid % (BM / TM);
+    const int th_c  = tid / (BM / TM);
+
+    const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
+    const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
+    const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
+    const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
+
+    const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
+    const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
+
+    int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
+    int pos_b = (batch_idx   * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
+
+    float sums[TM * TN];
+    float cache_a[TM];
+    float cache_b[TN];
+
+    for (int i = 0; i < TM * TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    for (int block = 0; block < ne00; block += BK) {
+        for (int l = 0; l < BM; l += loadstride_a) {
+            if (ir*BM + loadc_a + l < ne01) {
+                int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
+                int ib  = idx / 64;
+                int iqs = (idx % 64) * 2;
+
+                int n = iqs / 32;
+                int b = (iqs % 32) / 16;
+                int is = 2 * n + b;
+                int qsi = n * 32 + (iqs % 16) * 2;
+
+                char * scales = src0_s + ib * 12;
+
+                int scidx0 = (is < 4) ? is : (is + 4);
+                int scidx1 = (is < 4) ? is : (is - 4);
+                int scidxmask1 = (is < 4) ? 0x30 : 0xC0;
+                int scidxshift1 = (is < 4) ? 0 : 2;
+                int mbidx0 = is + 4;
+                int mbidx1 = (is < 4) ? is + 4 : is;
+                int mbidxmask0 = (is < 4) ? 0xF : 0xF0;
+                int mbidxshift0 = (is < 4) ? 0 : 4;
+                int mbidxmask1 = (is < 4) ? 0x30 : 0xC0;
+                int mbidxshift1 = (is < 4) ? 0 : 2;
+
+                uchar sc    = (scales[scidx0] & 0xF) | ((scales[scidx1] & scidxmask1) >> scidxshift1);
+                uchar mbyte = ((scales[mbidx0] & mbidxmask0) >> mbidxshift0) | ((scales[mbidx1] & mbidxmask1) >> mbidxshift1);
+
+                float d =  (float)src0_d[ib]  * (float)sc;
+                float m = -(float)src0_dm[ib] * (float)mbyte;
+
+                global uchar4 * qs = src0_q + ib*32 + (qsi >> 2);
+                uchar4 q = *qs;
+                float4 v1 = (convert_float4((uchar4)((q.s0 >> (b * 4))&0x0F, (q.s1 >> (b * 4))&0x0F, (q.s2 >> (b * 4))&0x0F, (q.s3 >> (b * 4))&0x0F)))*d + m;
+
+                buf_a[(loadr_a * LOAD_VEC_A + 0) * BM + loadc_a + l] = v1.s0;
+                buf_a[(loadr_a * LOAD_VEC_A + 1) * BM + loadc_a + l] = v1.s1;
+                buf_a[(loadr_a * LOAD_VEC_A + 2) * BM + loadc_a + l] = v1.s2;
+                buf_a[(loadr_a * LOAD_VEC_A + 3) * BM + loadc_a + l] = v1.s3;
+            } else {
+                buf_a[(loadr_a * LOAD_VEC_A + 0) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 1) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 2) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 3) * BM + loadc_a + l] = 0.0f;
+            }
+        }
+
+        for (int l = 0; l < BN; l += loadstride_b) {
+            if (ic*BN + loadc_b + l < ne11) {
+                int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
+            } else {
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
+            }
+        }
+
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (int i = 0; i < BK; i++) {
+            for (int j = 0; j < TM; j++) {
+                cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
+            }
+
+            for (int j = 0; j < TN; j++) {
+                cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
+            }
+
+            for (int cc = 0; cc < TN; cc++) {
+                for (int cr = 0; cr < TM; cr++) {
+                    const int sums_idx = cc*TM + cr;
+                    sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
+                }
+            }
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+    }
+
+    const int dr = ir * BM + th_r * TM;
+    const int dc = ic * BN + th_c * TN;
+
+    const int offsets = batch_idx * batch_stride_d;
+
+    for (int cc = 0; cc < TN; cc++) {
+        for (int cr = 0; cr < TM; cr++) {
+            if (dr + cr < ne01 && dc + cc < ne11) {
+                dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q5_k_f32_l4_lm.cl b/ggml/src/ggml-opencl/kernels/mul_mm_q5_k_f32_l4_lm.cl
new file mode 100644
index 0000000000000000000000000000000000000000..8e191f57e83ff4a15f54a5b63523d1084992c9e2
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mm_q5_k_f32_l4_lm.cl
@@ -0,0 +1,192 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define LOAD_VEC_A 4
+#define LOAD_VEC_B 4
+
+#define BM 64
+#define BN 64
+#define BK 32
+#define TM 4
+#define TN 8
+
+kernel void kernel_mul_mm_q5_k_f32_l4_lm(
+    global uchar4 * src0_q,
+    global uchar  * src0_qh,
+    global uchar  * src0_s,
+    global half   * src0_d,
+    global half   * src0_dm,
+    global float4 * src1,
+    ulong offset1,
+    global float  * dst,
+    ulong offsetd,
+
+    int ne00,
+    int ne01,
+    int ne02,
+    int ne11,
+    int ne12,
+
+    int stride_a,
+    int stride_b,
+    int stride_d,
+
+    int batch_stride_a,
+    int batch_stride_b,
+    int batch_stride_d,
+
+    int r2,
+    int r3
+) {
+    src1 = (global float4*)((global char*)src1 + offset1);
+    dst  = (global float *)((global char*)dst  + offsetd);
+
+    local float buf_a[BM * BK];
+    local float buf_b[BN * BK];
+
+    const int batch_idx = get_global_id(2);
+
+    const int i13 = batch_idx / ne12;
+    const int i12 = batch_idx % ne12;
+
+    const int i03 = i13 / r3;
+    const int i02 = i12 / r2;
+
+    const int batch_idx_a = i03 * ne02 + i02;
+
+    const int ir = get_group_id(0);
+    const int ic = get_group_id(1);
+
+    const int tid = get_local_id(0);
+    const int th_r  = tid % (BM / TM);
+    const int th_c  = tid / (BM / TM);
+
+    const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
+    const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
+    const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
+    const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
+
+    const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
+    const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
+
+    int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
+    int pos_b = (batch_idx   * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
+
+    float sums[TM * TN];
+    float cache_a[TM];
+    float cache_b[TN];
+
+    for (int i = 0; i < TM * TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    for (int block = 0; block < ne00; block += BK) {
+        for (int l = 0; l < BM; l += loadstride_a) {
+            if (ir*BM + loadc_a + l < ne01) {
+                int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
+                int ib  = idx / 64;
+                int iqs = (idx % 64) * 2;
+
+                int n   = iqs / 32;
+                int b   = (iqs % 32) / 16;
+                int is  = 2 * n + b;
+                int qsi = n * 32 + (iqs % 16) * 2;
+
+                global uchar * scales = src0_s + ib * 12;
+
+                int scidx0      = (is < 4) ? is     : (is + 4);
+                int scidx1      = (is < 4) ? is     : (is - 4);
+                int scidxmask1  = (is < 4) ? 0x30   : 0xC0;
+                int scidxshift1 = (is < 4) ? 0      : 2;
+                int mbidx0      = is + 4;
+                int mbidx1      = (is < 4) ? is + 4 : is;
+                int mbidxmask0  = (is < 4) ? 0xF    : 0xF0;
+                int mbidxshift0 = (is < 4) ? 0      : 4;
+                int mbidxmask1  = (is < 4) ? 0x30   : 0xC0;
+                int mbidxshift1 = (is < 4) ? 0      : 2;
+
+                uchar sc    = (scales[scidx0] & 0xF) | ((scales[scidx1] & scidxmask1) >> scidxshift1);
+                uchar mbyte = ((scales[mbidx0] & mbidxmask0) >> mbidxshift0) | ((scales[mbidx1] & mbidxmask1) >> mbidxshift1);
+
+                float d =  (float)src0_d[ib]  * (float)sc;
+                float m = -(float)src0_dm[ib] * (float)mbyte;
+
+                int qh_base = (iqs % 16) * 2;
+                int bit_pos  = 2*n + b;
+                uchar h0 = (src0_qh[ib*32 + qh_base + 0] >> bit_pos) & 1;
+                uchar h1 = (src0_qh[ib*32 + qh_base + 1] >> bit_pos) & 1;
+                uchar h2 = (src0_qh[ib*32 + qh_base + 2] >> bit_pos) & 1;
+                uchar h3 = (src0_qh[ib*32 + qh_base + 3] >> bit_pos) & 1;
+
+                global uchar4 * qs = src0_q + ib*32 + (qsi >> 2);
+                uchar4 q = *qs;
+                float4 v1 = (convert_float4((uchar4)(
+                    ((q.s0 >> (b * 4))&0x0F) | (h0 << 4),
+                    ((q.s1 >> (b * 4))&0x0F) | (h1 << 4),
+                    ((q.s2 >> (b * 4))&0x0F) | (h2 << 4),
+                    ((q.s3 >> (b * 4))&0x0F) | (h3 << 4)
+                )))*d + m;
+
+                buf_a[(loadr_a * LOAD_VEC_A + 0) * BM + loadc_a + l] = v1.s0;
+                buf_a[(loadr_a * LOAD_VEC_A + 1) * BM + loadc_a + l] = v1.s1;
+                buf_a[(loadr_a * LOAD_VEC_A + 2) * BM + loadc_a + l] = v1.s2;
+                buf_a[(loadr_a * LOAD_VEC_A + 3) * BM + loadc_a + l] = v1.s3;
+            } else {
+                buf_a[(loadr_a * LOAD_VEC_A + 0) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 1) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 2) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 3) * BM + loadc_a + l] = 0.0f;
+            }
+        }
+
+        for (int l = 0; l < BN; l += loadstride_b) {
+            if (ic*BN + loadc_b + l < ne11) {
+                int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
+            } else {
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
+            }
+        }
+
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (int i = 0; i < BK; i++) {
+            for (int j = 0; j < TM; j++) {
+                cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
+            }
+
+            for (int j = 0; j < TN; j++) {
+                cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
+            }
+
+            for (int cc = 0; cc < TN; cc++) {
+                for (int cr = 0; cr < TM; cr++) {
+                    const int sums_idx = cc*TM + cr;
+                    sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
+                }
+            }
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+    }
+
+    const int dr = ir * BM + th_r * TM;
+    const int dc = ic * BN + th_c * TN;
+
+    const int offsets = batch_idx * batch_stride_d;
+
+    for (int cc = 0; cc < TN; cc++) {
+        for (int cr = 0; cr < TM; cr++) {
+            if (dr + cr < ne01 && dc + cc < ne11) {
+                dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q4_k_f32_flat.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q4_k_f32_flat.cl
new file mode 100644
index 0000000000000000000000000000000000000000..d92fb96890425ec80024ab16162c3becc4fc7c49
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q4_k_f32_flat.cl
@@ -0,0 +1,196 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+//------------------------------------------------------------------------------
+// block_q4_K
+//------------------------------------------------------------------------------
+#define QK_K            256
+#define BLOCK_Q4K_SIZE  144
+#define K_SCALE_SIZE    12
+
+// 8 blocks of 32 elements each
+// weight is represented as x = a * q + b
+typedef struct {
+    half d;    // super-block scale for quantized scales
+    half dmin; // super-block scale for quantized mins
+
+    uchar scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
+    uchar qs[QK_K/2];           // 4-bit quants
+} block_q4_K;
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST 4 // number of rows each SIMD group works on
+#define N_SIMDGROUP 1 // number of SIMD groups in a thread group
+#define N_SIMDWIDTH 16 // SIMD group size
+#elif defined (ADRENO_GPU)
+#define N_DST 16
+#define N_SIMDGROUP 2
+#define N_SIMDWIDTH 64
+#endif
+
+#undef  BLOCK_STRIDE
+// number of (super) blocks each subgroup processes
+// each thread in a subgroup processes a block (32 weights)
+#define BLOCK_STRIDE (N_SIMDWIDTH/8)
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q4_K_f32_flat(
+    global uchar * src0_q,
+    global uchar * src0_s,
+    global half  * src0_d,
+    global half  * src0_dm,
+    global char  * src1,
+    int offset1,
+    global char  * dst,
+    int offsetd,
+    int ne00,
+    int ne01,
+    ulong nb01,
+    ulong nb02,
+    ulong nb03,
+    int ne12,
+    ulong nb11,
+    ulong nb12,
+    ulong nb13,
+    int ne0,
+    int ne1,
+    int r2,
+    int r3
+) {
+    src1 = src1 + offset1;
+    dst  = dst  + offsetd;
+
+    ushort kmask1 = 0x3f3f;
+    ushort kmask2 = 0x0f0f;
+    ushort kmask3 = 0xc0c0;
+
+    int ix = get_sub_group_local_id()/8;
+    int it = get_sub_group_local_id()%8;
+    int iq = it/4;
+    int ir = it%4;
+
+    int nb = ne00/QK_K;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    int offset_src0 = (first_row*nb01 + (i12/r2)*nb02 + (i13/r3)*nb03)/BLOCK_Q4K_SIZE;
+    uint blk = nb01 / BLOCK_Q4K_SIZE;
+    global uchar * blk_q     = (global uchar *)src0_q  + offset_src0*(QK_K/2);
+    global uchar * blk_s     = (global uchar *)src0_s  + offset_src0*K_SCALE_SIZE;
+    global half  * blk_d     = (global half  *)src0_d  + offset_src0;
+    global half  * blk_dm    = (global half  *)src0_dm + offset_src0;
+
+    int offset_src1 = r1*nb11 + (i12)*nb12 + (i13)*nb13;
+    global float * y = (global float *)(src1 + offset_src1);
+
+    float yl[16];
+    float yh[16];
+    float sumf[N_DST] = {0.f};
+    float all_sum;
+
+    global float * y4 = y + ix * QK_K + 64 * iq + 8 * ir;
+
+    ushort  sc16[4];
+    uchar * sc8 = (uchar *)sc16;
+
+    for (int ib = ix; ib < nb; ib += BLOCK_STRIDE) {
+        float4 sumy = {0.f, 0.f, 0.f, 0.f};
+        for (int i = 0; i < 8; ++i) {
+            yl[i+0] = y4[i+0];
+            sumy.s0 += yl[i+0];
+
+            yl[i+8] = y4[i+32];
+            sumy.s1 += yl[i+8];
+
+            yh[i+0] = y4[i+128];
+            sumy.s2 += yh[i+0];
+
+            yh[i+8] = y4[i+160];
+            sumy.s3 += yh[i+8];
+        }
+
+        global ushort * q1 = (global ushort *)(blk_q + ib * (QK_K/2)) + (16 * iq + 4 * ir);
+        global ushort * sc = (global ushort *)(blk_s + ib * K_SCALE_SIZE) + iq;
+        global half   * d  = blk_d + ib;
+        global half   * dm = blk_dm + ib;
+
+        for (int row = 0; row < N_DST; row++) {
+            sc16[0] = sc[0] & kmask1;
+            sc16[1] = sc[2] & kmask1;
+            sc16[2] = ((sc[4] >> 0) & kmask2) | ((sc[0] & kmask3) >> 2);
+            sc16[3] = ((sc[4] >> 4) & kmask2) | ((sc[2] & kmask3) >> 2);
+
+            global ushort * q2 = q1 + 32;
+
+            float4 acc1 = {0.f, 0.f, 0.f, 0.f};
+            float4 acc2 = {0.f, 0.f, 0.f, 0.f};
+            for (int i = 0; i < 8; i += 2) {
+                acc1.s0 += yl[i+0] * (q1[i/2] & 0x000F);
+                acc1.s1 += yl[i+1] * (q1[i/2] & 0x0F00);
+                acc1.s2 += yl[i+8] * (q1[i/2] & 0x00F0);
+                acc1.s3 += yl[i+9] * (q1[i/2] & 0xF000);
+                acc2.s0 += yh[i+0] * (q2[i/2] & 0x000F);
+                acc2.s1 += yh[i+1] * (q2[i/2] & 0x0F00);
+                acc2.s2 += yh[i+8] * (q2[i/2] & 0x00F0);
+                acc2.s3 += yh[i+9] * (q2[i/2] & 0xF000);
+            }
+
+            float dall = *d;
+            float dmin = *dm;
+            sumf[row] += dall * ((acc1.s0 + 1.f/256.f * acc1.s1) * sc8[0] +
+                                 (acc1.s2 + 1.f/256.f * acc1.s3) * sc8[1] * 1.f/16.f +
+                                 (acc2.s0 + 1.f/256.f * acc2.s1) * sc8[4] +
+                                 (acc2.s2 + 1.f/256.f * acc2.s3) * sc8[5] * 1.f/16.f) -
+                         dmin * (sumy.s0 * sc8[2] + sumy.s1 * sc8[3] + sumy.s2 * sc8[6] + sumy.s3 * sc8[7]);
+
+            q1 += blk*64;
+            sc += blk*6;
+            d  += blk;
+            dm += blk;
+        }
+
+        y4 += BLOCK_STRIDE * QK_K;
+    }
+
+    global float * dst_f32 = (global float *) dst + im*ne0*ne1 + r1*ne0;
+
+    for (int row = 0; row < N_DST; ++row) {
+        all_sum = sub_group_reduce_add(sumf[row]);
+        if (first_row + row < ne01) {
+            if (get_sub_group_local_id() == 0) {
+                dst_f32[first_row + row] = all_sum;
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32.cl
new file mode 100644
index 0000000000000000000000000000000000000000..b2058abc1b6497135db4ac8605c5dc99ca48c51b
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32.cl
@@ -0,0 +1,187 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define QK_K            256
+#define K_SCALE_SIZE    12
+
+typedef struct {
+    half  d;                    // super-block scale for quantized scales
+    half  dmin;                 // super-block scale for quantized mins
+    uchar scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
+    uchar qh[QK_K/8];           // quants, high bit (1 bit per value, packed 8 per byte)
+    uchar qs[QK_K/2];           // quants, low 4 bits (2 values per byte)
+} block_q5_K;
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST       4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 16
+#elif defined(ADRENO_GPU)
+#define N_DST       4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 64
+#endif
+
+#define BLOCK_STRIDE (N_SIMDWIDTH/8)
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q5_K_f32(
+        global char * src0,
+        int offset0,
+        global char * src1,
+        int offset1,
+        global char * dst,
+        int offsetd,
+        int ne00,
+        int ne01,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        int ne12,
+        ulong nb11,
+        ulong nb12,
+        ulong nb13,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    src0 = src0 + offset0;
+    src1 = src1 + offset1;
+    dst  = dst  + offsetd;
+
+    ushort kmask1 = 0x3f3f;
+    ushort kmask2 = 0x0f0f;
+    ushort kmask3 = 0xc0c0;
+
+    int ix = get_sub_group_local_id()/8;  // super block index
+    int it = get_sub_group_local_id()%8;  // block index (inside super block)
+    int iq = it/4;     // 0 or 1 - first or second half of the super block
+    int ir = it%4;     // 0...3 - block index in the half super block
+
+    int nb = ne00/QK_K;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    int offset_src0 = first_row*nb01 + (i12/r2)*nb02 + (i13/r3)*nb03;
+    int offset_src1 =        r1*nb11 + (i12   )*nb12 + (i13   )*nb13;
+
+    global block_q5_K * x = (global block_q5_K *) (src0 + offset_src0);
+    global float      * y = (global float      *) (src1 + offset_src1);
+
+    float yl[16];
+    float yh[16];
+    float sumf[N_DST] = {0.f};
+    float all_sum;
+
+    global float * y4 = y + ix * QK_K + 64 * iq + 8 * ir;
+
+    uchar u1_lo = (uchar)(1 << (2*iq));
+    uchar u2_lo = (uchar)(2 << (2*iq));
+    uchar u1_hi = (uchar)(1 << (2*iq + 4));
+    uchar u2_hi = (uchar)(2 << (2*iq + 4));
+
+    ushort  sc16[4];
+    uchar * sc8 = (uchar *)sc16;
+
+    for (int ib = ix; ib < nb; ib += BLOCK_STRIDE) {
+        float4 sumy = {0.f, 0.f, 0.f, 0.f};
+        for (int i = 0; i < 8; ++i) {
+            yl[i+0] = y4[i+0];
+            sumy.s0 += yl[i+0];
+
+            yl[i+8] = y4[i+32];
+            sumy.s1 += yl[i+8];
+
+            yh[i+0] = y4[i+128];
+            sumy.s2 += yh[i+0];
+
+            yh[i+8] = y4[i+160];
+            sumy.s3 += yh[i+8];
+        }
+
+        global ushort * sc = (global ushort *)x[ib].scales + iq;
+        global ushort * q1 = (global ushort *)x[ib].qs + 16 * iq + 4 * ir;
+        global uchar  * qh = x[ib].qh + 8 * ir;
+        global half   * dh = &x[ib].d;
+
+        for (int row = 0; row < N_DST; row++) {
+            sc16[0] = sc[0] & kmask1;
+            sc16[1] = sc[2] & kmask1;
+            sc16[2] = ((sc[4] >> 0) & kmask2) | ((sc[0] & kmask3) >> 2);
+            sc16[3] = ((sc[4] >> 4) & kmask2) | ((sc[2] & kmask3) >> 2);
+
+            global ushort * q2 = q1 + 32;
+
+            float4 acc1 = {0.f, 0.f, 0.f, 0.f};
+            float4 acc2 = {0.f, 0.f, 0.f, 0.f};
+            for (int i = 0; i < 8; i += 2) {
+                acc1.s0 += yl[i+0] * ((q1[i/2] & 0x000F) + (qh[i+0] & u1_lo ? 16.f       : 0.f));
+                acc1.s1 += yl[i+1] * ((q1[i/2] & 0x0F00) + (qh[i+1] & u1_lo ? 16.f*256.f : 0.f));
+                acc1.s2 += yl[i+8] * ((q1[i/2] & 0x00F0) + (qh[i+0] & u2_lo ? 16.f*16.f  : 0.f));
+                acc1.s3 += yl[i+9] * ((q1[i/2] & 0xF000) + (qh[i+1] & u2_lo ? 16.f*4096.f: 0.f));
+                acc2.s0 += yh[i+0] * ((q2[i/2] & 0x000F) + (qh[i+0] & u1_hi ? 16.f       : 0.f));
+                acc2.s1 += yh[i+1] * ((q2[i/2] & 0x0F00) + (qh[i+1] & u1_hi ? 16.f*256.f : 0.f));
+                acc2.s2 += yh[i+8] * ((q2[i/2] & 0x00F0) + (qh[i+0] & u2_hi ? 16.f*16.f  : 0.f));
+                acc2.s3 += yh[i+9] * ((q2[i/2] & 0xF000) + (qh[i+1] & u2_hi ? 16.f*4096.f: 0.f));
+            }
+
+            float dall = dh[0];
+            float dmin = dh[1];
+            sumf[row] += dall * ((acc1.s0 + 1.f/256.f * acc1.s1) * sc8[0] +
+                                 (acc1.s2 + 1.f/256.f * acc1.s3) * sc8[1] * 1.f/16.f +
+                                 (acc2.s0 + 1.f/256.f * acc2.s1) * sc8[4] +
+                                 (acc2.s2 + 1.f/256.f * acc2.s3) * sc8[5] * 1.f/16.f) -
+                         dmin * (sumy.s0 * sc8[2] + sumy.s1 * sc8[3] + sumy.s2 * sc8[6] + sumy.s3 * sc8[7]);
+
+            q1  += nb01/2;
+            sc  += nb01/2;
+            dh  += nb01/2;
+            qh += nb01;
+        }
+
+        y4 += BLOCK_STRIDE * QK_K;
+    }
+
+    global float * dst_f32 = (global float *) dst + im*ne0*ne1 + r1*ne0;
+
+    for (int row = 0; row < N_DST; ++row) {
+        all_sum = sub_group_reduce_add(sumf[row]);
+        if (first_row + row < ne01) {
+            if (get_sub_group_local_id() == 0) {
+                dst_f32[first_row + row] = all_sum;
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32_flat.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32_flat.cl
new file mode 100644
index 0000000000000000000000000000000000000000..e353a72be7036d95939e94ea9759ee3af605b962
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32_flat.cl
@@ -0,0 +1,203 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+//------------------------------------------------------------------------------
+// block_q5_K
+//------------------------------------------------------------------------------
+#define QK_K            256
+#define BLOCK_Q5K_SIZE  176
+#define K_SCALE_SIZE    12
+
+typedef struct {
+    half  d;                    // super-block scale for quantized scales
+    half  dmin;                 // super-block scale for quantized mins
+    uchar scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
+    uchar qh[QK_K/8];           // quants, high bit (1 bit per value, packed 8 per byte)
+    uchar qs[QK_K/2];           // quants, low 4 bits (2 values per byte)
+} block_q5_K;
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST       4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 16
+#elif defined(ADRENO_GPU)
+#define N_DST       16
+#define N_SIMDGROUP 2
+#define N_SIMDWIDTH 64
+#endif
+
+#undef  BLOCK_STRIDE
+// number of (super) blocks each subgroup processes
+// each thread in a subgroup processes a block (32 weights)
+#define BLOCK_STRIDE (N_SIMDWIDTH/8)
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q5_K_f32_flat(
+    global uchar * src0_q,
+    global uchar * src0_qh,
+    global uchar * src0_s,
+    global half  * src0_d,
+    global half  * src0_dm,
+    global char  * src1,
+    int offset1,
+    global char  * dst,
+    int offsetd,
+    int ne00,
+    int ne01,
+    ulong nb01,
+    ulong nb02,
+    ulong nb03,
+    int ne12,
+    ulong nb11,
+    ulong nb12,
+    ulong nb13,
+    int ne0,
+    int ne1,
+    int r2,
+    int r3
+) {
+    src1 = src1 + offset1;
+    dst  = dst  + offsetd;
+
+    ushort kmask1 = 0x3f3f;
+    ushort kmask2 = 0x0f0f;
+    ushort kmask3 = 0xc0c0;
+
+    int ix = get_sub_group_local_id()/8;
+    int it = get_sub_group_local_id()%8;
+    int iq = it/4;
+    int ir = it%4;
+
+    int nb = ne00/QK_K;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    int offset_src0 = (first_row*nb01 + (i12/r2)*nb02 + (i13/r3)*nb03)/BLOCK_Q5K_SIZE;
+    uint blk = nb01 / BLOCK_Q5K_SIZE;
+    global uchar * blk_q  = (global uchar *)src0_q  + offset_src0*(QK_K/2);
+    global uchar * blk_qh = (global uchar *)src0_qh + offset_src0*(QK_K/8);
+    global uchar * blk_s  = (global uchar *)src0_s  + offset_src0*K_SCALE_SIZE;
+    global half  * blk_d  = (global half  *)src0_d  + offset_src0;
+    global half  * blk_dm = (global half  *)src0_dm + offset_src0;
+
+    int offset_src1 = r1*nb11 + (i12)*nb12 + (i13)*nb13;
+    global float * y = (global float *)(src1 + offset_src1);
+
+    float yl[16];
+    float yh[16];
+    float sumf[N_DST] = {0.f};
+    float all_sum;
+
+    global float * y4 = y + ix * QK_K + 64 * iq + 8 * ir;
+
+    uchar u1_lo = (uchar)(1 << (2*iq));
+    uchar u2_lo = (uchar)(2 << (2*iq));
+    uchar u1_hi = (uchar)(1 << (2*iq + 4));
+    uchar u2_hi = (uchar)(2 << (2*iq + 4));
+
+    ushort  sc16[4];
+    uchar * sc8 = (uchar *)sc16;
+
+    for (int ib = ix; ib < nb; ib += BLOCK_STRIDE) {
+        float4 sumy = {0.f, 0.f, 0.f, 0.f};
+        for (int i = 0; i < 8; ++i) {
+            yl[i+0] = y4[i+0];
+            sumy.s0 += yl[i+0];
+
+            yl[i+8] = y4[i+32];
+            sumy.s1 += yl[i+8];
+
+            yh[i+0] = y4[i+128];
+            sumy.s2 += yh[i+0];
+
+            yh[i+8] = y4[i+160];
+            sumy.s3 += yh[i+8];
+        }
+
+        global ushort * q1 = (global ushort *)(blk_q  + ib * (QK_K/2)) + (16 * iq + 4 * ir);
+        global uchar  * qh = (global uchar  *)(blk_qh + ib * (QK_K/8)) + 8 * ir;
+        global ushort * sc = (global ushort *)(blk_s  + ib * K_SCALE_SIZE) + iq;
+        global half   * d  = blk_d  + ib;
+        global half   * dm = blk_dm + ib;
+
+        for (int row = 0; row < N_DST; row++) {
+            sc16[0] = sc[0] & kmask1;
+            sc16[1] = sc[2] & kmask1;
+            sc16[2] = ((sc[4] >> 0) & kmask2) | ((sc[0] & kmask3) >> 2);
+            sc16[3] = ((sc[4] >> 4) & kmask2) | ((sc[2] & kmask3) >> 2);
+
+            global ushort * q2 = q1 + 32;
+
+            float4 acc1 = {0.f, 0.f, 0.f, 0.f};
+            float4 acc2 = {0.f, 0.f, 0.f, 0.f};
+            for (int i = 0; i < 8; i += 2) {
+                acc1.s0 += yl[i+0] * ((q1[i/2] & 0x000F) + (qh[i+0] & u1_lo ? 16.f       : 0.f));
+                acc1.s1 += yl[i+1] * ((q1[i/2] & 0x0F00) + (qh[i+1] & u1_lo ? 16.f*256.f : 0.f));
+                acc1.s2 += yl[i+8] * ((q1[i/2] & 0x00F0) + (qh[i+0] & u2_lo ? 16.f*16.f  : 0.f));
+                acc1.s3 += yl[i+9] * ((q1[i/2] & 0xF000) + (qh[i+1] & u2_lo ? 16.f*4096.f: 0.f));
+                acc2.s0 += yh[i+0] * ((q2[i/2] & 0x000F) + (qh[i+0] & u1_hi ? 16.f       : 0.f));
+                acc2.s1 += yh[i+1] * ((q2[i/2] & 0x0F00) + (qh[i+1] & u1_hi ? 16.f*256.f : 0.f));
+                acc2.s2 += yh[i+8] * ((q2[i/2] & 0x00F0) + (qh[i+0] & u2_hi ? 16.f*16.f  : 0.f));
+                acc2.s3 += yh[i+9] * ((q2[i/2] & 0xF000) + (qh[i+1] & u2_hi ? 16.f*4096.f: 0.f));
+            }
+
+            float dall = *d;
+            float dmin = *dm;
+            sumf[row] += dall * ((acc1.s0 + 1.f/256.f * acc1.s1) * sc8[0] +
+                                 (acc1.s2 + 1.f/256.f * acc1.s3) * sc8[1] * 1.f/16.f +
+                                 (acc2.s0 + 1.f/256.f * acc2.s1) * sc8[4] +
+                                 (acc2.s2 + 1.f/256.f * acc2.s3) * sc8[5] * 1.f/16.f) -
+                         dmin * (sumy.s0 * sc8[2] + sumy.s1 * sc8[3] + sumy.s2 * sc8[6] + sumy.s3 * sc8[7]);
+
+            q1 += blk*64;
+            qh += blk*32;
+            sc += blk*6;
+            d  += blk;
+            dm += blk;
+        }
+
+        y4 += BLOCK_STRIDE * QK_K;
+    }
+
+    global float * dst_f32 = (global float *) dst + im*ne0*ne1 + r1*ne0;
+
+    for (int row = 0; row < N_DST; ++row) {
+        all_sum = sub_group_reduce_add(sumf[row]);
+        if (first_row + row < ne01) {
+            if (get_sub_group_local_id() == 0) {
+                dst_f32[first_row + row] = all_sum;
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-openvino/ggml-openvino.cpp b/ggml/src/ggml-openvino/ggml-openvino.cpp
index 0031cb7369fd8898b63f6f43430e682f3719397b..0c8d3508e871072bca1069ed1b9d192a51d296b2 100644
--- a/ggml/src/ggml-openvino/ggml-openvino.cpp
+++ b/ggml/src/ggml-openvino/ggml-openvino.cpp
@@ -97,6 +97,8 @@ struct ggml_backend_openvino_buffer_context {
             ov_buffer = std::make_shared<ov::intel_gpu::ocl::USMTensor>(std::move(usm_tensor));
         } else {
             data = ggml_aligned_malloc(size);
+            GGML_ASSERT(data);
+            memset(data, 0, size);
             ov_buffer = std::make_shared<ov::Tensor>(ov::element::u8, ov::Shape{size}, data);
         }
 
@@ -410,6 +412,8 @@ static const ggml_backend_buffer_i ggml_backend_openvino_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_openvino_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_openvino_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_openvino_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_openvino_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_openvino_buffer_clear,
     /* .reset           = */ NULL,
@@ -615,6 +619,8 @@ static const ggml_backend_i ggml_backend_openvino_interface = {
     /* .free                    = */ ggml_backend_openvino_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-opt.cpp b/ggml/src/ggml-opt.cpp
index e078ad14a39c4ec350948fdbbf75e6c7e8db9ec5..53903defa8f419069f3046b960f2f057e06e6263 100644
--- a/ggml/src/ggml-opt.cpp
+++ b/ggml/src/ggml-opt.cpp
@@ -589,6 +589,7 @@ void ggml_opt_free(ggml_opt_context_t opt_ctx) {
     ggml_backend_buffer_free(opt_ctx->buf_cpu);
     ggml_free(opt_ctx->ctx_static);
     ggml_free(opt_ctx->ctx_cpu);
+    ggml_free(opt_ctx->ctx_copy);
     delete opt_ctx;
 }
 
diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c
index 48695a61ea3360bec9b0a1de74c80c3c305494b0..15443aa554a4f8131913cdc8dd1d5c49a56f0b64 100644
--- a/ggml/src/ggml-quants.c
+++ b/ggml/src/ggml-quants.c
@@ -32,6 +32,41 @@ static inline int best_index_int8(int n, const int8_t * val, float x) {
     return x - val[mu-1] < val[mu] - x ? mu-1 : mu;
 }
 
+// reference implementation for deterministic creation of model files
+void quantize_row_q1_0_ref(const float * GGML_RESTRICT x, block_q1_0 * GGML_RESTRICT y, int64_t k) {
+    static const int qk = QK1_0;
+
+    assert(k % qk == 0);
+
+    const int nb = k / qk;
+
+    for (int i = 0; i < nb; i++) {
+        float sum_abs = 0.0f;
+        for (int j = 0; j < qk; j++) {
+            sum_abs += fabsf(x[i*qk + j]);
+        }
+        const float d = sum_abs / qk;
+
+        y[i].d = GGML_FP32_TO_FP16(d);
+
+        // Clear all bits first
+        for (int j = 0; j < qk / 8; ++j) {
+            y[i].qs[j] = 0;
+        }
+
+        // Just store sign of each weight directly (no normalization)
+        for (int j = 0; j < qk; ++j) {
+            const int bit_index = j;
+            const int byte_index = bit_index / 8;
+            const int bit_offset = bit_index % 8;
+
+            if (x[i*qk + j] >= 0.0f) {
+                y[i].qs[byte_index] |= (1 << bit_offset);
+            }
+        }
+    }
+}
+
 // reference implementation for deterministic creation of model files
 void quantize_row_q4_0_ref(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k) {
     static const int qk = QK4_0;
@@ -339,6 +374,26 @@ void quantize_row_nvfp4_ref(const float * GGML_RESTRICT x, block_nvfp4 * GGML_RE
     }
 }
 
+void dequantize_row_q1_0(const block_q1_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
+    static const int qk = QK1_0;
+
+    assert(k % qk == 0);
+
+    const int nb = k / qk;
+
+    for (int i = 0; i < nb; i++) {
+        const float d = GGML_FP16_TO_FP32(x[i].d);
+        const float neg_d = -d;
+
+        for (int j = 0; j < qk; ++j) {
+            const int byte_index = j / 8;
+            const int bit_offset = j % 8;
+            const uint8_t bit = (x[i].qs[byte_index] >> bit_offset) & 1;
+            y[i*qk + j] = bit ? d : neg_d;
+        }
+    }
+}
+
 void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
     static const int qk = QK4_0;
 
@@ -1978,6 +2033,22 @@ static void quantize_row_q4_0_impl(const float * GGML_RESTRICT x, block_q4_0 * G
     }
 }
 
+size_t quantize_q1_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
+    if (!quant_weights) {
+        quantize_row_q1_0_ref(src, dst, (int64_t)nrow*n_per_row);
+        return nrow * ggml_row_size(GGML_TYPE_Q1_0, n_per_row);
+    }
+    size_t row_size = ggml_row_size(GGML_TYPE_Q1_0, n_per_row);
+    char * qrow = (char *)dst;
+    for (int64_t row = 0; row < nrow; ++row) {
+        quantize_row_q1_0_ref(src, (block_q1_0*)qrow, n_per_row);
+        src += n_per_row;
+        qrow += row_size;
+    }
+    return nrow * row_size;
+}
+
+
 size_t quantize_q4_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
     if (!quant_weights) {
         quantize_row_q4_0_ref(src, dst, (int64_t)nrow*n_per_row);
@@ -5286,6 +5357,10 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
                     }
                 }
             } break;
+        case GGML_TYPE_Q1_0:
+            {
+                VALIDATE_ROW_DATA_D_F16_IMPL(block_q1_0, data, nb);
+            } break;
         case GGML_TYPE_Q4_0:
             {
                 VALIDATE_ROW_DATA_D_F16_IMPL(block_q4_0, data, nb);
diff --git a/ggml/src/ggml-quants.h b/ggml/src/ggml-quants.h
index 00604f75c0e9bc9112db4b4f93abb05978f2ddf2..d56c86da8909543c9132d1eb39e94e2737a90cf2 100644
--- a/ggml/src/ggml-quants.h
+++ b/ggml/src/ggml-quants.h
@@ -14,6 +14,7 @@ extern "C" {
 // NOTE: these functions are defined as GGML_API because they used by the CPU backend
 
 // Quantization
+GGML_API void quantize_row_q1_0_ref(const float * GGML_RESTRICT x, block_q1_0 * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q4_0_ref(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q4_1_ref(const float * GGML_RESTRICT x, block_q4_1 * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q5_0_ref(const float * GGML_RESTRICT x, block_q5_0 * GGML_RESTRICT y, int64_t k);
@@ -41,6 +42,7 @@ GGML_API void quantize_row_iq3_s_ref  (const float * GGML_RESTRICT x, block_iq3_
 GGML_API void quantize_row_iq2_s_ref  (const float * GGML_RESTRICT x, block_iq2_s   * GGML_RESTRICT y, int64_t k);
 
 // Dequantization
+GGML_API void dequantize_row_q1_0(const block_q1_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q4_1(const block_q4_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q5_0(const block_q5_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
@@ -90,6 +92,7 @@ GGML_API size_t quantize_q3_K(const float * GGML_RESTRICT src, void * GGML_RESTR
 GGML_API size_t quantize_q4_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q5_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q6_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
+GGML_API size_t quantize_q1_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q4_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q4_1(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q5_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
diff --git a/ggml/src/ggml-rpc/CMakeLists.txt b/ggml/src/ggml-rpc/CMakeLists.txt
index f5acb8ec2cb280f307ef89ceeb54334d5c06b644..8a960d42331a74bf2c8daf955503fb440b79cdfc 100644
--- a/ggml/src/ggml-rpc/CMakeLists.txt
+++ b/ggml/src/ggml-rpc/CMakeLists.txt
@@ -1,9 +1,3 @@
-message(STATUS "Using RPC backend")
-
-ggml_add_backend_library(ggml-rpc
-                         ggml-rpc.cpp
-                        )
-
-if (WIN32)
-    target_link_libraries(ggml-rpc PRIVATE ws2_32)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:1614c0e8595b6a1f2ff610eb95f8bfbcfb904c939595a6f5b8f540c480ac947e
+size 1042
diff --git a/ggml/src/ggml-rpc/ggml-rpc.cpp b/ggml/src/ggml-rpc/ggml-rpc.cpp
index d7c8ad8c16816ad2ff289ba4bc2a76bc62fde243..2ded73978685e3eb0daf434d28ca58ff882aca06 100644
--- a/ggml/src/ggml-rpc/ggml-rpc.cpp
+++ b/ggml/src/ggml-rpc/ggml-rpc.cpp
@@ -2,30 +2,17 @@
 #include "ggml-impl.h"
 #include "ggml-backend-impl.h"
 #include "ggml-cpp.h"
+#include "transport.h"
 
+#include <array>
 #include <cinttypes>
+#include <optional>
 #include <string>
 #include <vector>
 #include <memory>
 #include <mutex>
 #include <unordered_map>
 #include <unordered_set>
-#ifdef _WIN32
-#  define WIN32_LEAN_AND_MEAN
-#  ifndef NOMINMAX
-#     define NOMINMAX
-#  endif
-#  include <windows.h>
-#  include <winsock2.h>
-#else
-#  include <arpa/inet.h>
-#  include <sys/socket.h>
-#  include <sys/types.h>
-#  include <netinet/in.h>
-#  include <netinet/tcp.h>
-#  include <netdb.h>
-#  include <unistd.h>
-#endif
 #include <cstring>
 #include <fstream>
 #include <filesystem>
@@ -39,29 +26,6 @@ static const char * RPC_DEBUG = std::getenv("GGML_RPC_DEBUG");
 
 namespace fs = std::filesystem;
 
-static constexpr size_t MAX_CHUNK_SIZE = 1024ull * 1024ull * 1024ull; // 1 GiB
-
-#ifdef _WIN32
-typedef SOCKET sockfd_t;
-using ssize_t = __int64;
-#else
-typedef int sockfd_t;
-#endif
-
-// cross-platform socket
-struct socket_t {
-    sockfd_t fd;
-    socket_t(sockfd_t fd) : fd(fd) {}
-    ~socket_t() {
-        LOG_DBG("[%s] closing socket %d\n", __func__, this->fd);
-#ifdef _WIN32
-        closesocket(this->fd);
-#else
-        close(this->fd);
-#endif
-    }
-};
-
 // macro for nicer error messages on server crash
 #define RPC_STATUS_ASSERT(x) if (!(x)) GGML_ABORT("Remote RPC server crashed or returned malformed response")
 
@@ -115,10 +79,16 @@ static_assert(RPC_CMD_HELLO == 14, "RPC_CMD_HELLO must be always 14");
 // Try RPC_CMD_SET_TENSOR_HASH first when data size is larger than this threshold
 const size_t HASH_THRESHOLD = 10 * 1024 * 1024;
 
+struct rpc_msg_hello_req {
+    uint8_t conn_caps[RPC_CONN_CAPS_SIZE];
+};
+
 struct rpc_msg_hello_rsp {
     uint8_t major;
     uint8_t minor;
     uint8_t patch;
+    uint8_t padding;
+    uint8_t conn_caps[RPC_CONN_CAPS_SIZE];
 };
 
 struct rpc_msg_device_count_rsp {
@@ -288,153 +258,27 @@ static uint64_t fnv_hash(const uint8_t * data, size_t len) {
     return hash;
 }
 
-static std::shared_ptr<socket_t> make_socket(sockfd_t fd) {
-#ifdef _WIN32
-    if (fd == INVALID_SOCKET) {
-        return nullptr;
-    }
-#else
-    if (fd < 0) {
-        return nullptr;
-    }
-#endif
-    return std::make_shared<socket_t>(fd);
-}
-
-static bool set_no_delay(sockfd_t sockfd) {
-    int flag = 1;
-    // set TCP_NODELAY to disable Nagle's algorithm
-    int ret = setsockopt(sockfd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
-    return ret == 0;
-}
-
-static bool set_reuse_addr(sockfd_t sockfd) {
-    int flag = 1;
-    int ret = setsockopt(sockfd, SOL_SOCKET, SO_REUSEADDR, (char *)&flag, sizeof(int));
-    return ret == 0;
-}
-
-static std::shared_ptr<socket_t> socket_connect(const char * host, int port) {
-    struct sockaddr_in addr;
-    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
-    auto sock_ptr = make_socket(sockfd);
-    if (sock_ptr == nullptr) {
-        return nullptr;
-    }
-    if (!set_no_delay(sockfd)) {
-        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
-        return nullptr;
-    }
-    addr.sin_family = AF_INET;
-    addr.sin_port = htons(port);
-    struct hostent * server = gethostbyname(host);
-    if (server == NULL) {
-        GGML_LOG_ERROR("Cannot resolve host '%s'\n", host);
-        return nullptr;
-    }
-    memcpy(&addr.sin_addr.s_addr, server->h_addr, server->h_length);
-    if (connect(sock_ptr->fd, (struct sockaddr *)&addr, sizeof(addr)) < 0) {
-        return nullptr;
-    }
-    return sock_ptr;
-}
-
-static std::shared_ptr<socket_t> socket_accept(sockfd_t srv_sockfd) {
-    auto client_socket_fd = accept(srv_sockfd, NULL, NULL);
-    auto client_socket = make_socket(client_socket_fd);
-    if (client_socket == nullptr) {
-        return nullptr;
-    }
-    if (!set_no_delay(client_socket_fd)) {
-        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
-        return nullptr;
-    }
-    return client_socket;
-}
-
-static std::shared_ptr<socket_t> create_server_socket(const char * host, int port) {
-    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
-    auto sock = make_socket(sockfd);
-    if (sock == nullptr) {
-        return nullptr;
-    }
-    if (!set_reuse_addr(sockfd)) {
-        GGML_LOG_ERROR("Failed to set SO_REUSEADDR\n");
-        return nullptr;
-    }
-    if (inet_addr(host) == INADDR_NONE) {
-        GGML_LOG_ERROR("Invalid host address: %s\n", host);
-        return nullptr;
-    }
-    struct sockaddr_in serv_addr;
-    serv_addr.sin_family = AF_INET;
-    serv_addr.sin_addr.s_addr = inet_addr(host);
-    serv_addr.sin_port = htons(port);
-
-    if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
-        return nullptr;
-    }
-    if (listen(sockfd, 1) < 0) {
-        return nullptr;
-    }
-    return sock;
-}
-
-static bool send_data(sockfd_t sockfd, const void * data, size_t size) {
-    size_t bytes_sent = 0;
-    while (bytes_sent < size) {
-        size_t size_to_send = std::min(size - bytes_sent, MAX_CHUNK_SIZE);
-        ssize_t n = send(sockfd, (const char *)data + bytes_sent, size_to_send, 0);
-        if (n < 0) {
-            GGML_LOG_ERROR("send failed (bytes_sent=%zu, size_to_send=%zu)\n",
-                           bytes_sent, size_to_send);
-            return false;
-        }
-        bytes_sent += (size_t)n;
-    }
-    return true;
-}
-
-static bool recv_data(sockfd_t sockfd, void * data, size_t size) {
-    size_t bytes_recv = 0;
-    while (bytes_recv < size) {
-        size_t size_to_recv = std::min(size - bytes_recv, MAX_CHUNK_SIZE);
-        ssize_t n = recv(sockfd, (char *)data + bytes_recv, size_to_recv, 0);
-        if (n < 0) {
-            GGML_LOG_ERROR("recv failed (bytes_recv=%zu, size_to_recv=%zu)\n",
-                           bytes_recv, size_to_recv);
-            return false;
-        }
-        if (n == 0) {
-            LOG_DBG("recv returned 0 (peer closed?)\n");
-            return false;
-        }
-        bytes_recv += (size_t)n;
-    }
-    return true;
-}
-
-static bool send_msg(sockfd_t sockfd, const void * msg, size_t msg_size) {
-    if (!send_data(sockfd, &msg_size, sizeof(msg_size))) {
+static bool send_msg(socket_ptr sock, const void * msg, size_t msg_size) {
+    if (!sock->send_data(&msg_size, sizeof(msg_size))) {
         return false;
     }
-    return send_data(sockfd, msg, msg_size);
+    return sock->send_data(msg, msg_size);
 }
 
-static bool recv_msg(sockfd_t sockfd, void * msg, size_t msg_size) {
+static bool recv_msg(socket_ptr sock, void * msg, size_t msg_size) {
     uint64_t size;
-    if (!recv_data(sockfd, &size, sizeof(size))) {
+    if (!sock->recv_data(&size, sizeof(size))) {
         return false;
     }
     if (size != msg_size) {
         return false;
     }
-    return recv_data(sockfd, msg, msg_size);
+    return sock->recv_data(msg, msg_size);
 }
 
-static bool recv_msg(sockfd_t sockfd, std::vector<uint8_t> & input) {
+static bool recv_msg(socket_ptr sock, std::vector<uint8_t> & input) {
     uint64_t size;
-    if (!recv_data(sockfd, &size, sizeof(size))) {
+    if (!sock->recv_data(&size, sizeof(size))) {
         return false;
     }
     try {
@@ -443,7 +287,7 @@ static bool recv_msg(sockfd_t sockfd, std::vector<uint8_t> & input) {
         GGML_LOG_ERROR("Failed to allocate input buffer of size %" PRIu64 "\n", size);
         return false;
     }
-    return recv_data(sockfd, input.data(), size);
+    return sock->recv_data(input.data(), size);
 }
 
 static bool parse_endpoint(const std::string & endpoint, std::string & host, int & port) {
@@ -452,21 +296,25 @@ static bool parse_endpoint(const std::string & endpoint, std::string & host, int
         return false;
     }
     host = endpoint.substr(0, pos);
-    port = std::stoi(endpoint.substr(pos + 1));
+    try {
+        port = std::stoi(endpoint.substr(pos + 1));
+    } catch (...) {
+        return false;
+    }
     return true;
 }
 
 // RPC request : | rpc_cmd (1 byte) | request_size (8 bytes) | request_data (request_size bytes) |
 // No response
-static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cmd, const void * input, size_t input_size) {
+static bool send_rpc_cmd(socket_ptr sock, enum rpc_cmd cmd, const void * input, size_t input_size) {
     uint8_t cmd_byte = cmd;
-    if (!send_data(sock->fd, &cmd_byte, sizeof(cmd_byte))) {
+    if (!sock->send_data(&cmd_byte, sizeof(cmd_byte))) {
         return false;
     }
-    if (!send_data(sock->fd, &input_size, sizeof(input_size))) {
+    if (!sock->send_data(&input_size, sizeof(input_size))) {
         return false;
     }
-    if (!send_data(sock->fd, input, input_size)) {
+    if (!sock->send_data(input, input_size)) {
         return false;
     }
     return true;
@@ -474,20 +322,18 @@ static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cm
 
 // RPC request : | rpc_cmd (1 byte) | request_size (8 bytes) | request_data (request_size bytes) |
 // RPC response: | response_size (8 bytes) | response_data (response_size bytes) |
-static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cmd, const void * input, size_t input_size, void * output, size_t output_size) {
+static bool send_rpc_cmd(socket_ptr sock, enum rpc_cmd cmd, const void * input, size_t input_size, void * output, size_t output_size) {
     if (!send_rpc_cmd(sock, cmd, input, input_size)) {
         return false;
     }
-    // TODO: currently the output_size is always known, do we need support for commands with variable output size?
-    // even if we do, we can skip sending output_size from the server for commands with known output size
     uint64_t out_size;
-    if (!recv_data(sock->fd, &out_size, sizeof(out_size))) {
+    if (!sock->recv_data(&out_size, sizeof(out_size))) {
         return false;
     }
     if (out_size != output_size) {
         return false;
     }
-    if (!recv_data(sock->fd, output, output_size)) {
+    if (!sock->recv_data(output, output_size)) {
         return false;
     }
     return true;
@@ -495,17 +341,25 @@ static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cm
 
 // RPC client-side implementation
 
-static bool check_server_version(const std::shared_ptr<socket_t> & sock) {
-    rpc_msg_hello_rsp response;
-    bool status = send_rpc_cmd(sock, RPC_CMD_HELLO, nullptr, 0, &response, sizeof(response));
+// Performs HELLO handshake with transport auto-negotiation.
+// Advertises local capabilities via conn_caps; if the server responds with
+// matching capabilities, the socket is upgraded transparently.
+static bool negotiate_hello(const std::shared_ptr<socket_t> & sock) {
+    rpc_msg_hello_req request = {};
+    rpc_msg_hello_rsp response = {};
+
+    sock->get_caps(request.conn_caps);
+
+    bool status = send_rpc_cmd(sock, RPC_CMD_HELLO, &request, sizeof(request), &response, sizeof(response));
     RPC_STATUS_ASSERT(status);
+
     if (response.major != RPC_PROTO_MAJOR_VERSION || response.minor > RPC_PROTO_MINOR_VERSION) {
-        GGML_LOG_ERROR("RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
+        GGML_LOG_ERROR("RPC server version mismatch: %d.%d.%d\n",
+                       response.major, response.minor, response.patch);
         return false;
     }
-    if (response.minor != RPC_PROTO_MINOR_VERSION || response.patch != RPC_PROTO_PATCH_VERSION) {
-        GGML_LOG_INFO("WARNING: RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
-    }
+
+    sock->update_caps(response.conn_caps);
     return true;
 }
 
@@ -513,7 +367,6 @@ static std::shared_ptr<socket_t> get_socket(const std::string & endpoint) {
     static std::mutex mutex;
     std::lock_guard<std::mutex> lock(mutex);
     static std::unordered_map<std::string, std::weak_ptr<socket_t>> sockets;
-    static bool initialized = false;
 
     auto it = sockets.find(endpoint);
     if (it != sockets.end()) {
@@ -527,26 +380,18 @@ static std::shared_ptr<socket_t> get_socket(const std::string & endpoint) {
         GGML_LOG_ERROR("Failed to parse endpoint: %s\n", endpoint.c_str());
         return nullptr;
     }
-#ifdef _WIN32
-    if (!initialized) {
-        WSADATA wsaData;
-        int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
-        if (res != 0) {
-            return nullptr;
-        }
-        initialized = true;
+
+    if (!rpc_transport_init()) {
+        return nullptr;
     }
-#else
-    GGML_UNUSED(initialized);
-#endif
-    auto sock = socket_connect(host.c_str(), port);
+    auto sock = socket_t::connect(host.c_str(), port);
     if (sock == nullptr) {
         return nullptr;
     }
-    if (!check_server_version(sock)) {
+    if (!negotiate_hello(sock)) {
         return nullptr;
     }
-    LOG_DBG("[%s] connected to %s, sockfd=%d\n", __func__, endpoint.c_str(), sock->fd);
+    LOG_DBG("[%s] connected to %s\n", __func__, endpoint.c_str());
     sockets[endpoint] = sock;
     return sock;
 }
@@ -589,8 +434,10 @@ static rpc_tensor serialize_tensor(const ggml_tensor * tensor) {
         ggml_backend_buffer_t buffer = tensor->buffer;
         ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
         result.buffer = ctx != nullptr ? ctx->remote_ptr : 0;
+        result.data = reinterpret_cast<uint64_t>(tensor->data);
     } else {
         result.buffer = 0;
+        result.data   = 0;
     }
     for (uint32_t i = 0; i < GGML_MAX_DIMS; i++) {
         result.ne[i] = tensor->ne[i];
@@ -606,7 +453,6 @@ static rpc_tensor serialize_tensor(const ggml_tensor * tensor) {
     }
     result.view_src = reinterpret_cast<uint64_t>(tensor->view_src);
     result.view_offs = tensor->view_offs;
-    result.data = reinterpret_cast<uint64_t>(tensor->data);
 
     // Avoid sending uninitialized data over the wire
     memset(result.name, 0, sizeof(result.name));
@@ -705,6 +551,8 @@ static ggml_backend_buffer_i ggml_backend_rpc_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_rpc_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_rpc_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_rpc_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_rpc_buffer_clear,
     /* .reset           = */ NULL,
@@ -893,6 +741,8 @@ static ggml_backend_i ggml_backend_rpc_interface = {
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .synchronize             = */ ggml_backend_rpc_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
@@ -1008,8 +858,8 @@ public:
     bool get_device_memory(const rpc_msg_get_device_memory_req & request, rpc_msg_get_device_memory_rsp & response);
 
     struct stored_graph {
-        ggml_context_ptr ctx_ptr;
-        ggml_cgraph *    graph;
+        std::vector<uint8_t>   buffer;
+        ggml_cgraph          * graph;
     };
 
 private:
@@ -1162,12 +1012,18 @@ ggml_tensor * rpc_server::deserialize_tensor(struct ggml_context * ctx, const rp
         return nullptr;
     }
 
+    // Fix: Prevent division by zero if blck_size is 0 (e.g., deprecated types)
+    if (ggml_blck_size((enum ggml_type)tensor->type) == 0) {
+        GGML_LOG_ERROR("[%s] invalid tensor type received (blck_size is 0): %u\n", __func__, tensor->type);
+        return nullptr;
+    }
+
     ggml_tensor * result = ggml_new_tensor_4d(ctx, (ggml_type) tensor->type,
         tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3]);
 
     // ggml_new_tensor_4d might fail if dimensions are invalid, although less likely to crash than invalid type
     if (result == nullptr) {
-        GGML_LOG_ERROR("[%s] ggml_new_tensor_4d failed for type %u\\n", __func__, tensor->type);
+        GGML_LOG_ERROR("[%s] ggml_new_tensor_4d failed for type %u\n", __func__, tensor->type);
         return nullptr;
     }
 
@@ -1333,7 +1189,9 @@ bool rpc_server::init_tensor(const rpc_msg_init_tensor_req & request) {
     if (buffer && buffer->iface.init_tensor) {
         buffer->iface.init_tensor(buffer, tensor);
     } else {
-        GGML_LOG_ERROR("Null buffer for tensor passed to init_tensor function\n");
+        if (!buffer) {
+            GGML_LOG_ERROR("Tensor with null buffer passed to init_tensor function\n");
+        }
     }
 
     if (tensor->extra != nullptr) {
@@ -1440,6 +1298,10 @@ ggml_tensor * rpc_server::create_node(uint64_t id,
     if (result == nullptr) {
         return nullptr;
     }
+    if (result->buffer == nullptr && result->data != nullptr) {
+        GGML_LOG_ERROR("[%s] invalid data ptr", __func__);
+        return nullptr;
+    }
     tensor_map[id] = result;
     for (int i = 0; i < GGML_MAX_SRC; i++) {
         // Check if the source ID is 0 before calling create_node recursively
@@ -1505,10 +1367,12 @@ bool rpc_server::graph_compute(const std::vector<uint8_t> & input) {
     LOG_DBG("[%s] device: %u, n_nodes: %u, n_tensors: %u\n", __func__, device, n_nodes, n_tensors);
 
     size_t buf_size = ggml_tensor_overhead()*(n_nodes + n_tensors) + ggml_graph_overhead_custom(n_nodes, false);
-
+    if (stored_graphs[device].buffer.size() < buf_size) {
+        stored_graphs[device].buffer.resize(buf_size);
+    }
     struct ggml_init_params params = {
         /*.mem_size   =*/ buf_size,
-        /*.mem_buffer =*/ NULL,
+        /*.mem_buffer =*/ stored_graphs[device].buffer.data(),
         /*.no_alloc   =*/ true,
     };
     ggml_context_ptr ctx_ptr { ggml_init(params) };
@@ -1538,7 +1402,6 @@ bool rpc_server::graph_compute(const std::vector<uint8_t> & input) {
     }
     ggml_status status = ggml_backend_graph_compute(backends[device], graph);
     GGML_ASSERT(status == GGML_STATUS_SUCCESS && "Unsuccessful graph computations are not supported with RPC");
-    stored_graphs[device].ctx_ptr.swap(ctx_ptr);
     stored_graphs[device].graph = graph;
     return true;
 }
@@ -1579,27 +1442,46 @@ rpc_server::~rpc_server() {
 }
 
 static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const char * cache_dir,
-                             sockfd_t sockfd) {
+                             socket_ptr sock) {
     rpc_server server(backends, cache_dir);
     uint8_t cmd;
-    if (!recv_data(sockfd, &cmd, 1)) {
+    if (!sock->recv_data(&cmd, 1)) {
         return;
     }
-    // the first command sent by the client must be HELLO
     if (cmd != RPC_CMD_HELLO) {
         GGML_LOG_ERROR("Expected HELLO command, update client\n");
         return;
     }
-    if (!recv_msg(sockfd, nullptr, 0)) {
+
+    // Read input_size and validate protocol version
+    uint64_t hello_input_size;
+    if (!sock->recv_data(&hello_input_size, sizeof(hello_input_size))) {
         return;
     }
-    rpc_msg_hello_rsp response;
-    server.hello(response);
-    if (!send_msg(sockfd, &response, sizeof(response))) {
+
+    if (hello_input_size != sizeof(rpc_msg_hello_req)) {
+        GGML_LOG_ERROR("HELLO request size mismatch (%zu vs %zu) — client needs upgrade to protocol v%d.x\n",
+                       (size_t)hello_input_size, sizeof(rpc_msg_hello_req), RPC_PROTO_MAJOR_VERSION);
         return;
     }
+
+    rpc_msg_hello_req req = {};
+    if (!sock->recv_data(&req, sizeof(req))) {
+        return;
+    }
+
+    rpc_msg_hello_rsp rsp = {};
+    server.hello(rsp);
+    // Advertise server transport capabilities based on client's caps
+    sock->get_caps(rsp.conn_caps);
+    if (!send_msg(sock, &rsp, sizeof(rsp))) {
+        return;
+    }
+
+    // Activate transport upgrade using client's caps
+    sock->update_caps(req.conn_caps);
     while (true) {
-        if (!recv_data(sockfd, &cmd, 1)) {
+        if (!sock->recv_data(&cmd, 1)) {
             break;
         }
         if (cmd >= RPC_CMD_COUNT) {
@@ -1613,115 +1495,115 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
                 return;
             }
             case RPC_CMD_DEVICE_COUNT: {
-                if (!recv_msg(sockfd, nullptr, 0)) {
+                if (!recv_msg(sock, nullptr, 0)) {
                     return;
                 }
                 rpc_msg_device_count_rsp response;
                 response.device_count = backends.size();
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_ALLOC_BUFFER: {
                 rpc_msg_alloc_buffer_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_alloc_buffer_rsp response;
                 if (!server.alloc_buffer(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_ALLOC_SIZE: {
                 rpc_msg_get_alloc_size_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_alloc_size_rsp response;
                 if (!server.get_alloc_size(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_ALIGNMENT: {
                 rpc_msg_get_alignment_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_alignment_rsp response;
                 if (!server.get_alignment(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_MAX_SIZE: {
                 rpc_msg_get_max_size_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_max_size_rsp response;
                 if (!server.get_max_size(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_BUFFER_GET_BASE: {
                 rpc_msg_buffer_get_base_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_buffer_get_base_rsp response;
                 if (!server.buffer_get_base(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_FREE_BUFFER: {
                 rpc_msg_free_buffer_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 if (!server.free_buffer(request)) {
                     return;
                 }
-                if (!send_msg(sockfd, nullptr, 0)) {
+                if (!send_msg(sock, nullptr, 0)) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_BUFFER_CLEAR: {
                 rpc_msg_buffer_clear_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 if (!server.buffer_clear(request)) {
                     return;
                 }
-                if (!send_msg(sockfd, nullptr, 0)) {
+                if (!send_msg(sock, nullptr, 0)) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_SET_TENSOR: {
                 std::vector<uint8_t> input;
-                if (!recv_msg(sockfd, input)) {
+                if (!recv_msg(sock, input)) {
                     return;
                 }
                 if (!server.set_tensor(input)) {
@@ -1731,62 +1613,62 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
             }
             case RPC_CMD_SET_TENSOR_HASH: {
                 rpc_msg_set_tensor_hash_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_set_tensor_hash_rsp response;
                 if (!server.set_tensor_hash(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_INIT_TENSOR: {
                 rpc_msg_init_tensor_req request;
-                if (!recv_msg(sockfd, &request,sizeof(request))) {
+                if (!recv_msg(sock, &request,sizeof(request))) {
                     return;
                 }
                 if (!server.init_tensor(request)) {
                     return;
                 }
-                if (!send_msg(sockfd, nullptr, 0)) {
+                if (!send_msg(sock, nullptr, 0)) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_TENSOR: {
                 rpc_msg_get_tensor_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 std::vector<uint8_t> response;
                 if (!server.get_tensor(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, response.data(), response.size())) {
+                if (!send_msg(sock, response.data(), response.size())) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_COPY_TENSOR: {
                 rpc_msg_copy_tensor_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_copy_tensor_rsp response;
                 if (!server.copy_tensor(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GRAPH_COMPUTE: {
                 std::vector<uint8_t> input;
-                if (!recv_msg(sockfd, input)) {
+                if (!recv_msg(sock, input)) {
                     return;
                 }
                 if (!server.graph_compute(input)) {
@@ -1796,7 +1678,7 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
             }
             case RPC_CMD_GRAPH_RECOMPUTE: {
                 rpc_msg_graph_recompute_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 if (!server.graph_recompute(request)) {
@@ -1806,14 +1688,14 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
             }
             case RPC_CMD_GET_DEVICE_MEMORY: {
                 rpc_msg_get_device_memory_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_device_memory_rsp response;
                 if (!server.get_device_memory(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
@@ -1866,36 +1748,34 @@ void ggml_backend_rpc_start_server(const char * endpoint, const char * cache_dir
     if (!parse_endpoint(endpoint, host, port)) {
         return;
     }
-#ifdef _WIN32
-    {
-        WSADATA wsaData;
-        int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
-        if (res != 0) {
-            fprintf(stderr, "WSAStartup failed: %d\n", res);
-            return;
-        }
+
+#ifdef GGML_RPC_RDMA
+    printf("  transport      : TCP (RDMA auto-negotiate enabled)\n");
+#else
+    printf("  transport      : TCP\n");
+#endif // GGML_RPC_RDMA
+    if (!rpc_transport_init()) {
+        fprintf(stderr, "Failed to initialize RPC transport\n");
+        return;
     }
-#endif
-    auto server_socket = create_server_socket(host.c_str(), port);
+    auto server_socket = socket_t::create_server(host.c_str(), port);
     if (server_socket == nullptr) {
         fprintf(stderr, "Failed to create server socket\n");
         return;
     }
     while (true) {
-        auto client_socket = socket_accept(server_socket->fd);
+        auto client_socket = server_socket->accept();
         if (client_socket == nullptr) {
             fprintf(stderr, "Failed to accept client connection\n");
             return;
         }
         printf("Accepted client connection\n");
         fflush(stdout);
-        rpc_serve_client(backends, cache_dir, client_socket->fd);
+        rpc_serve_client(backends, cache_dir, client_socket);
         printf("Client connection closed\n");
         fflush(stdout);
     }
-#ifdef _WIN32
-    WSACleanup();
-#endif
+    rpc_transport_shutdown();
     for (auto backend : backends) {
         ggml_backend_free(backend);
     }
diff --git a/ggml/src/ggml-rpc/transport.cpp b/ggml/src/ggml-rpc/transport.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..a728152421f7dac44baefc582d713540398dabe4
--- /dev/null
+++ b/ggml/src/ggml-rpc/transport.cpp
@@ -0,0 +1,683 @@
+#include "transport.h"
+#include "ggml-impl.h"
+
+#ifdef _WIN32
+#  define WIN32_LEAN_AND_MEAN
+#  ifndef NOMINMAX
+#     define NOMINMAX
+#  endif
+#  include <windows.h>
+#  include <winsock2.h>
+#else
+#  include <arpa/inet.h>
+#  include <sys/socket.h>
+#  include <sys/types.h>
+#  include <netinet/in.h>
+#  include <netinet/tcp.h>
+#  include <netdb.h>
+#  include <unistd.h>
+#endif
+#include <cstdlib>
+#include <mutex>
+#include <optional>
+
+#ifdef GGML_RPC_RDMA
+#  include <infiniband/verbs.h>
+#  include <time.h>
+#  ifndef _WIN32
+#    include <poll.h>
+#  endif
+#endif // GGML_RPC_RDMA
+
+#ifdef _WIN32
+typedef SOCKET sockfd_t;
+using ssize_t = __int64;
+#else
+typedef int sockfd_t;
+#endif
+
+static const char * RPC_DEBUG = std::getenv("GGML_RPC_DEBUG");
+
+#define LOG_DBG(...) \
+    do { if (RPC_DEBUG) GGML_LOG_DEBUG(__VA_ARGS__); } while (0)
+
+#ifdef GGML_RPC_RDMA
+static constexpr size_t RDMA_CHUNK    = 256 * 1024;   // 256 KiB per send/recv (fits default 8 MiB memlock)
+static constexpr int    RDMA_RX_DEPTH = 24;            // pre-posted recv ring: 24 × 256 KiB = 6 MiB
+static constexpr size_t RDMA_GID_SIZE = 16;            // RoCE GID / IB GID is always 16 bytes
+using rdma_gid_t = std::array<uint8_t, RDMA_GID_SIZE>;
+
+struct rdma_conn {
+    struct ibv_context * ctx = nullptr;
+    struct ibv_pd * pd  = nullptr;
+    struct ibv_cq * scq = nullptr;   // send completions
+    struct ibv_cq * rcq = nullptr;   // recv completions
+    struct ibv_qp * qp  = nullptr;
+
+    void          * tx_buf = nullptr;
+    struct ibv_mr * tx_mr  = nullptr;
+
+    void          * rx_buf = nullptr; // RDMA_RX_DEPTH × RDMA_CHUNK contiguous
+    struct ibv_mr * rx_mr  = nullptr;
+    int             rx_head = 0;
+
+    uint32_t        max_inline = 0;
+
+    uint8_t * rx_slot(int i) const {
+        return static_cast<uint8_t *>(rx_buf) + static_cast<size_t>(i) * RDMA_CHUNK;
+    }
+
+    bool post_rx(int i) {
+        struct ibv_sge sge = {};
+        sge.addr   = (uintptr_t)rx_slot(i);
+        sge.length = RDMA_CHUNK;
+        sge.lkey   = rx_mr->lkey;
+        struct ibv_recv_wr wr = {}, * bad = nullptr;
+        wr.wr_id   = (uint64_t)i;
+        wr.sg_list = &sge;
+        wr.num_sge = 1;
+        return ibv_post_recv(qp, &wr, &bad) == 0;
+    }
+
+    ~rdma_conn() {
+        if (tx_mr) ibv_dereg_mr(tx_mr);
+        if (rx_mr) ibv_dereg_mr(rx_mr);
+        free(tx_buf);
+        free(rx_buf);
+        if (qp)  ibv_destroy_qp(qp);
+        if (scq) ibv_destroy_cq(scq);
+        if (rcq) ibv_destroy_cq(rcq);
+        if (pd)  ibv_dealloc_pd(pd);
+        if (ctx) ibv_close_device(ctx);
+    }
+};
+
+// Local RDMA parameters captured during the probe phase and later consumed
+// by rdma_activate() after the remote side's caps arrive via HELLO.
+struct rdma_local_info {
+    uint32_t qpn     = 0;
+    uint32_t psn     = 0;
+    uint8_t  gid[RDMA_GID_SIZE] = {};
+    uint8_t  ib_port = 0;
+    int      gid_idx = 0;
+    enum ibv_mtu path_mtu = IBV_MTU_1024;
+};
+
+struct rdma_caps {
+    uint32_t qpn;
+    uint32_t psn;
+    uint8_t  gid[RDMA_GID_SIZE];
+};
+
+static_assert(sizeof(rdma_caps) == RPC_CONN_CAPS_SIZE, "rdma_caps must match conn_caps size");
+
+#endif // GGML_RPC_RDMA
+
+struct socket_t::impl {
+    impl(sockfd_t fd) : use_rdma(false), fd(fd) {}
+    ~impl();
+    bool send_data(const void * data, size_t size);
+    bool recv_data(void * data, size_t size);
+    void get_caps(uint8_t * local_caps);
+    void update_caps(const uint8_t * remote_caps);
+
+#ifdef GGML_RPC_RDMA
+    bool tcp_peer_closed();
+    std::optional<rdma_gid_t> rdma_build_target_gid();
+    bool rdma_probe();
+    bool rdma_activate(uint32_t remote_qpn, uint32_t remote_psn, const uint8_t * remote_gid);
+    bool rdma_poll(struct ibv_cq * cq, struct ibv_wc * wc);
+    bool rdma_send(const void * data, size_t size);
+    bool rdma_recv(void * data, size_t size);
+
+    std::unique_ptr<rdma_conn> rdma;
+    rdma_local_info            rdma_local = {};
+#endif // GGML_RPC_RDMA
+    bool     use_rdma;
+    sockfd_t fd;
+};
+
+socket_t::impl::~impl() {
+#ifdef GGML_RPC_RDMA
+    rdma.reset();
+#endif // GGML_RPC_RDMA
+    LOG_DBG("[%s] closing socket %d\n", __func__, this->fd);
+#ifdef _WIN32
+    if (fd != INVALID_SOCKET) closesocket(this->fd);
+#else
+    if (fd >= 0) close(this->fd);
+#endif
+}
+
+#ifdef GGML_RPC_RDMA
+
+bool socket_t::impl::tcp_peer_closed() {
+    if (fd < 0) return false;
+#ifndef _WIN32
+    struct pollfd pfd = { fd, POLLIN | POLLRDHUP, 0 };
+    int r = poll(&pfd, 1, 0);
+    return r > 0 && (pfd.revents & (POLLHUP | POLLERR | POLLRDHUP));
+#else
+    return false;
+#endif
+}
+
+// Build a RoCE GID-shaped 16-byte target from a TCP socket's local address.
+// Used to match the socket's local IP against the kernel's GID table so that
+// a single memcmp handles IPv4, IPv4-mapped IPv6, and native IPv6 uniformly:
+//   AF_INET                -> ::ffff:a.b.c.d  (bytes 10-11 = 0xff, last 4 = IPv4)
+//   AF_INET6 (IPv4-mapped) -> ::ffff:a.b.c.d  (already in GID shape)
+//   AF_INET6 (native v6)   -> the 16-byte IPv6 address as-is
+// Returns std::nullopt on unsupported family or getsockname failure.
+std::optional<rdma_gid_t> socket_t::impl::rdma_build_target_gid() {
+    sockaddr_storage addr = {};
+    socklen_t addr_len = sizeof(addr);
+    if (getsockname(fd, reinterpret_cast<sockaddr *>(&addr), &addr_len) != 0) {
+        return std::nullopt;
+    }
+    rdma_gid_t target = {};
+    if (addr.ss_family == AF_INET) {
+        const auto * a = reinterpret_cast<const sockaddr_in *>(&addr);
+        target[10] = 0xff;
+        target[11] = 0xff;
+        memcpy(&target[12], &a->sin_addr, 4);
+        return target;
+    }
+    if (addr.ss_family == AF_INET6) {
+        const auto * a = reinterpret_cast<const sockaddr_in6 *>(&addr);
+        memcpy(target.data(), &a->sin6_addr, RDMA_GID_SIZE);
+        return target;
+    }
+    return std::nullopt;
+}
+
+bool socket_t::impl::rdma_probe() {
+    const char * dev_env = std::getenv("GGML_RDMA_DEV");
+    const char * gid_env = std::getenv("GGML_RDMA_GID");
+
+    auto target_gid = rdma_build_target_gid();
+    if (!target_gid) {
+        return false;
+    }
+
+    const uint8_t ib_port = 1;
+    int num_devs = 0;
+    ibv_device ** devs = ibv_get_device_list(&num_devs);
+    if (!devs || num_devs == 0) return false;
+
+    ibv_context * ibctx = nullptr;
+    const char * matched_dev = nullptr;
+    int gid_idx = gid_env ? atoi(gid_env) : -1;
+    int gid_version = IBV_GID_TYPE_IB;  // 0 = unknown/IB
+
+    for (int d = 0; d < num_devs; d++) {
+        const char * dn = ibv_get_device_name(devs[d]);
+        if (dev_env && strcmp(dev_env, dn) != 0) continue;
+
+        ibv_context * ctx = ibv_open_device(devs[d]);
+        if (!ctx) continue;
+
+        ibv_port_attr pa;
+        if (ibv_query_port(ctx, ib_port, &pa) != 0) { ibv_close_device(ctx); continue; }
+
+        int found_gid = gid_idx;
+        int found_version = IBV_GID_TYPE_IB;
+        if (found_gid < 0) {
+            // Find a GID on this port whose bytes equal the local TCP address
+            // (IPv4 or IPv6). Prefer RoCE v2 (UDP/IP, L3-routable) over v1
+            // (raw Ethernet, same-L2 only) so silent hangs on L3-routed paths
+            // are avoided. ibv_query_gid_ex returns gid+type in one call.
+            int v2_idx = -1;
+            int v1_idx = -1;
+            for (int i = 0; i < pa.gid_tbl_len; i++) {
+                ibv_gid_entry entry = {};
+                if (ibv_query_gid_ex(ctx, ib_port, i, &entry, 0) != 0) continue;
+                if (memcmp(entry.gid.raw, target_gid->data(), RDMA_GID_SIZE) != 0) continue;
+                if (entry.gid_type == IBV_GID_TYPE_ROCE_V2 && v2_idx < 0) {
+                    v2_idx = i;
+                } else if (entry.gid_type == IBV_GID_TYPE_ROCE_V1 && v1_idx < 0) {
+                    v1_idx = i;
+                }
+            }
+            if (v2_idx >= 0) {
+                found_gid = v2_idx;
+                found_version = IBV_GID_TYPE_ROCE_V2;
+            } else if (v1_idx >= 0) {
+                found_gid = v1_idx;
+                found_version = IBV_GID_TYPE_ROCE_V1;
+            }
+        } else {
+            // Explicit GID index from GGML_RDMA_GID — fetch its type for logging.
+            ibv_gid_entry entry = {};
+            if (ibv_query_gid_ex(ctx, ib_port, found_gid, &entry, 0) == 0) {
+                found_version = entry.gid_type;
+            }
+        }
+        if (found_gid >= 0) {
+            ibctx = ctx;
+            gid_idx = found_gid;
+            gid_version = found_version;
+            matched_dev = dn;
+            rdma_local.path_mtu = pa.active_mtu;
+            break;
+        }
+        ibv_close_device(ctx);
+    }
+    ibv_free_device_list(devs);
+    if (!ibctx) return false;
+
+    rdma_local.ib_port = ib_port;
+    rdma_local.gid_idx = gid_idx;
+
+    rdma = std::make_unique<rdma_conn>();
+    rdma->ctx = ibctx;
+
+    rdma->pd = ibv_alloc_pd(ibctx);
+    if (!rdma->pd) return false;
+
+    rdma->scq = ibv_create_cq(ibctx, 16, nullptr, nullptr, 0);
+    rdma->rcq = ibv_create_cq(ibctx, RDMA_RX_DEPTH + 4, nullptr, nullptr, 0);
+    if (!rdma->scq || !rdma->rcq) return false;
+
+    ibv_qp_init_attr qia = {};
+    qia.send_cq = rdma->scq;
+    qia.recv_cq = rdma->rcq;
+    qia.qp_type = IBV_QPT_RC;
+    qia.cap.max_send_wr     = 4;
+    qia.cap.max_recv_wr     = RDMA_RX_DEPTH + 4;
+    qia.cap.max_send_sge    = 1;
+    qia.cap.max_recv_sge    = 1;
+    qia.cap.max_inline_data = 256;
+
+    rdma->qp = ibv_create_qp(rdma->pd, &qia);
+    if (!rdma->qp) return false;
+    rdma->max_inline = qia.cap.max_inline_data;
+
+    rdma->tx_buf = aligned_alloc(4096, RDMA_CHUNK);
+    rdma->rx_buf = aligned_alloc(4096, static_cast<size_t>(RDMA_RX_DEPTH) * RDMA_CHUNK);
+    if (!rdma->tx_buf || !rdma->rx_buf) return false;
+
+    rdma->tx_mr = ibv_reg_mr(rdma->pd, rdma->tx_buf, RDMA_CHUNK, IBV_ACCESS_LOCAL_WRITE);
+    rdma->rx_mr = ibv_reg_mr(rdma->pd, rdma->rx_buf, static_cast<size_t>(RDMA_RX_DEPTH) * RDMA_CHUNK,
+                           IBV_ACCESS_LOCAL_WRITE | IBV_ACCESS_REMOTE_WRITE);
+    if (!rdma->tx_mr || !rdma->rx_mr) return false;
+
+    ibv_gid local_gid;
+    if (ibv_query_gid(ibctx, ib_port, gid_idx, &local_gid) != 0) return false;
+
+    rdma_local.qpn = rdma->qp->qp_num;
+    rdma_local.psn = rdma->qp->qp_num & 0xffffff;
+    memcpy(&rdma_local.gid, &local_gid, RDMA_GID_SIZE);
+
+    const char * ver_str = "";
+    if (gid_version == IBV_GID_TYPE_ROCE_V2) {
+        ver_str = " RoCEv2";
+    } else if (gid_version == IBV_GID_TYPE_ROCE_V1) {
+        ver_str = " RoCEv1";
+    }
+    GGML_LOG_INFO("RDMA probed: dev=%s gid=%d%s qpn=%u inline=%u\n",
+                  matched_dev, gid_idx, ver_str, rdma_local.qpn, rdma->max_inline);
+    return true;
+}
+
+// Phase 2: Given remote QPN/PSN/GID, transition QP: RESET->INIT->pre-post->RTR->RTS.
+// On success, the connection is live and ready for rdma_send/rdma_recv.
+bool socket_t::impl::rdma_activate(uint32_t remote_qpn, uint32_t remote_psn, const uint8_t * remote_gid) {
+    // RESET -> INIT
+    {
+        struct ibv_qp_attr a = {};
+        a.qp_state        = IBV_QPS_INIT;
+        a.port_num        = rdma_local.ib_port;
+        a.pkey_index      = 0;
+        a.qp_access_flags = IBV_ACCESS_REMOTE_WRITE | IBV_ACCESS_REMOTE_READ | IBV_ACCESS_LOCAL_WRITE;
+        if (ibv_modify_qp(rdma->qp, &a,
+                IBV_QP_STATE | IBV_QP_PKEY_INDEX | IBV_QP_PORT | IBV_QP_ACCESS_FLAGS) != 0) {
+            return false;
+        }
+    }
+
+    for (int i = 0; i < RDMA_RX_DEPTH; i++) {
+        if (!rdma->post_rx(i)) return false;
+    }
+
+    // INIT -> RTR
+    {
+        struct ibv_qp_attr a = {};
+        a.qp_state           = IBV_QPS_RTR;
+        a.path_mtu           = rdma_local.path_mtu;
+        a.dest_qp_num        = remote_qpn;
+        a.rq_psn             = remote_psn;
+        a.max_dest_rd_atomic = 1;
+        a.min_rnr_timer      = 1;
+        a.ah_attr.is_global  = 1;
+        memcpy(&a.ah_attr.grh.dgid, remote_gid, RDMA_GID_SIZE);
+        a.ah_attr.grh.hop_limit  = 1;
+        a.ah_attr.grh.sgid_index = rdma_local.gid_idx;
+        a.ah_attr.dlid       = 0;
+        a.ah_attr.port_num   = rdma_local.ib_port;
+        if (ibv_modify_qp(rdma->qp, &a,
+                IBV_QP_STATE | IBV_QP_AV | IBV_QP_PATH_MTU | IBV_QP_DEST_QPN |
+                IBV_QP_RQ_PSN | IBV_QP_MAX_DEST_RD_ATOMIC | IBV_QP_MIN_RNR_TIMER) != 0) {
+            return false;
+        }
+    }
+
+    // RTR -> RTS
+    {
+        struct ibv_qp_attr a = {};
+        a.qp_state     = IBV_QPS_RTS;
+        a.timeout      = 14;
+        a.retry_cnt    = 7;
+        a.rnr_retry    = 7;
+        a.sq_psn       = rdma_local.psn;
+        a.max_rd_atomic = 1;
+        if (ibv_modify_qp(rdma->qp, &a,
+                IBV_QP_STATE | IBV_QP_TIMEOUT | IBV_QP_RETRY_CNT | IBV_QP_RNR_RETRY |
+                IBV_QP_SQ_PSN | IBV_QP_MAX_QP_RD_ATOMIC) != 0) {
+            return false;
+        }
+    }
+
+    GGML_LOG_INFO("RDMA activated: qpn=%u->%u mtu=%d rx_depth=%d\n",
+                  rdma_local.qpn, remote_qpn, 128 << rdma_local.path_mtu, RDMA_RX_DEPTH);
+    return true;
+}
+
+bool socket_t::impl::rdma_poll(struct ibv_cq * cq, struct ibv_wc * wc) {
+    for (uint64_t s = 0; ; s++) {
+        int n = ibv_poll_cq(cq, 1, wc);
+        if (n > 0) {
+            if (wc->status != IBV_WC_SUCCESS) {
+                GGML_LOG_ERROR("RDMA CQ wc error: status=%d (%s) vendor_err=0x%x\n",
+                    wc->status, ibv_wc_status_str(wc->status), wc->vendor_err);
+            }
+            return wc->status == IBV_WC_SUCCESS;
+        }
+        if (n < 0) return false;
+        if ((s & 0xFFFFF) == 0 && s > 0) {
+            if (tcp_peer_closed()) {
+                return false;
+            }
+        }
+    }
+}
+
+bool socket_t::impl::rdma_send(const void * data, size_t size) {
+    rdma_conn * c = rdma.get();
+    const uint8_t * src = (const uint8_t *)data;
+    size_t rem = size;
+    while (rem > 0) {
+        size_t chunk = std::min(rem, RDMA_CHUNK);
+
+        struct ibv_sge sge = {};
+        struct ibv_send_wr wr = {}, * bad = nullptr;
+        wr.opcode  = IBV_WR_SEND;
+        wr.sg_list = &sge;
+        wr.num_sge = 1;
+
+        if (chunk <= c->max_inline) {
+            sge.addr   = (uintptr_t)src;
+            sge.length = chunk;
+            wr.send_flags = IBV_SEND_SIGNALED | IBV_SEND_INLINE;
+        } else {
+            memcpy(c->tx_buf, src, chunk);
+            sge.addr   = (uintptr_t)c->tx_buf;
+            sge.length = chunk;
+            sge.lkey   = c->tx_mr->lkey;
+            wr.send_flags = IBV_SEND_SIGNALED;
+        }
+
+        if (ibv_post_send(c->qp, &wr, &bad) != 0) return false;
+        struct ibv_wc wc;
+        if (!rdma_poll(c->scq, &wc)) return false;
+
+        src += chunk;
+        rem -= chunk;
+    }
+    return true;
+}
+
+bool socket_t::impl::rdma_recv(void * data, size_t size) {
+    rdma_conn * c = rdma.get();
+    uint8_t * dst = (uint8_t *)data;
+    size_t rem = size;
+    while (rem > 0) {
+        struct ibv_wc wc;
+        if (!rdma_poll(c->rcq, &wc)) return false;
+
+        int slot = (int)wc.wr_id;
+        size_t got = wc.byte_len;
+        memcpy(dst, c->rx_slot(slot), got);
+
+        if (!c->post_rx(slot)) return false;
+
+        dst += got;
+        rem -= got;
+    }
+    return true;
+}
+
+#endif // GGML_RPC_RDMA
+
+bool socket_t::impl::send_data(const void * data, size_t size) {
+#ifdef GGML_RPC_RDMA
+    if (use_rdma) {
+        return rdma_send(data, size);
+    }
+#endif
+    size_t bytes_sent = 0;
+    while (bytes_sent < size) {
+        size_t size_to_send = std::min(size - bytes_sent, MAX_CHUNK_SIZE);
+        ssize_t n = send(fd, (const char *)data + bytes_sent, size_to_send, 0);
+        if (n < 0) {
+            GGML_LOG_ERROR("send failed (bytes_sent=%zu, size_to_send=%zu)\n",
+                           bytes_sent, size_to_send);
+            return false;
+        }
+        bytes_sent += (size_t)n;
+    }
+    return true;
+}
+
+bool socket_t::impl::recv_data(void * data, size_t size) {
+#ifdef GGML_RPC_RDMA
+    if (use_rdma) {
+        return rdma_recv(data, size);
+    }
+#endif
+    size_t bytes_recv = 0;
+    while (bytes_recv < size) {
+        size_t size_to_recv = std::min(size - bytes_recv, MAX_CHUNK_SIZE);
+        ssize_t n = recv(fd, (char *)data + bytes_recv, size_to_recv, 0);
+        if (n < 0) {
+            GGML_LOG_ERROR("recv failed (bytes_recv=%zu, size_to_recv=%zu)\n",
+                           bytes_recv, size_to_recv);
+            return false;
+        }
+        if (n == 0) {
+            LOG_DBG("recv returned 0 (peer closed?)\n");
+            return false;
+        }
+        bytes_recv += (size_t)n;
+    }
+    return true;
+}
+
+void socket_t::impl::get_caps(uint8_t * local_caps) {
+    memset(local_caps, 0, RPC_CONN_CAPS_SIZE);
+#ifdef GGML_RPC_RDMA
+    rdma_local = {};
+    if (rdma_probe()) {
+        rdma_caps rc = {};
+        rc.qpn = rdma_local.qpn;
+        rc.psn = rdma_local.psn;
+        memcpy(rc.gid, rdma_local.gid, RDMA_GID_SIZE);
+        memcpy(local_caps, &rc, sizeof(rc));
+    } else {
+        rdma.reset();
+    }
+#endif // GGML_RPC_RDMA
+}
+
+void socket_t::impl::update_caps(const uint8_t * remote_caps) {
+#ifdef GGML_RPC_RDMA
+    if (!rdma) {
+        return;
+    }
+    rdma_caps rc = {};
+    memcpy(&rc, remote_caps, sizeof(rc));
+    if (rc.qpn == 0) {
+        rdma.reset();
+        return;
+    }
+    if (rdma_activate(rc.qpn, rc.psn, rc.gid)) {
+        use_rdma = true;
+    } else {
+        GGML_LOG_ERROR("RDMA activate failed, staying on TCP\n");
+        rdma.reset();
+    }
+#else
+    (void)remote_caps;
+#endif // GGML_RPC_RDMA
+}
+
+
+/////////////////////////////////////////////////////////////////////////////
+
+socket_t::socket_t(std::unique_ptr<impl> p) : pimpl(std::move(p)) {}
+
+socket_t::~socket_t() = default;
+
+bool socket_t::send_data(const void * data, size_t size) {
+    return pimpl->send_data(data, size);
+}
+
+bool socket_t::recv_data(void * data, size_t size) {
+    return pimpl->recv_data(data, size);
+}
+
+void socket_t::get_caps(uint8_t * local_caps) {
+    return pimpl->get_caps(local_caps);
+}
+
+void socket_t::update_caps(const uint8_t * remote_caps) {
+    return pimpl->update_caps(remote_caps);
+}
+
+static bool is_valid_fd(sockfd_t sockfd) {
+#ifdef _WIN32
+    return sockfd != INVALID_SOCKET;
+#else
+    return sockfd >= 0;
+#endif
+}
+
+static bool set_no_delay(sockfd_t sockfd) {
+    int flag = 1;
+    // set TCP_NODELAY to disable Nagle's algorithm
+    int ret = setsockopt(sockfd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
+    return ret == 0;
+}
+
+static bool set_reuse_addr(sockfd_t sockfd) {
+    int flag = 1;
+    int ret = setsockopt(sockfd, SOL_SOCKET, SO_REUSEADDR, (char *)&flag, sizeof(int));
+    return ret == 0;
+}
+
+socket_ptr socket_t::accept() {
+    auto client_socket_fd = ::accept(pimpl->fd, NULL, NULL);
+    if (!is_valid_fd(client_socket_fd)) {
+        return nullptr;
+    }
+    if (!set_no_delay(client_socket_fd)) {
+        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
+        return nullptr;
+    }
+    return socket_ptr(new socket_t(std::make_unique<impl>(client_socket_fd)));
+}
+
+socket_ptr socket_t::create_server(const char * host, int port) {
+    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
+    if (!is_valid_fd(sockfd)) {
+        return nullptr;
+    }
+    if (!set_reuse_addr(sockfd)) {
+        GGML_LOG_ERROR("Failed to set SO_REUSEADDR\n");
+        return nullptr;
+    }
+    if (inet_addr(host) == INADDR_NONE) {
+        GGML_LOG_ERROR("Invalid host address: %s\n", host);
+        return nullptr;
+    }
+    struct sockaddr_in serv_addr;
+    serv_addr.sin_family = AF_INET;
+    serv_addr.sin_addr.s_addr = inet_addr(host);
+    serv_addr.sin_port = htons(port);
+
+    if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
+        return nullptr;
+    }
+    if (listen(sockfd, 1) < 0) {
+        return nullptr;
+    }
+    return socket_ptr(new socket_t(std::make_unique<impl>(sockfd)));
+}
+
+socket_ptr socket_t::connect(const char * host, int port) {
+    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
+    if (!is_valid_fd(sockfd)) {
+        return nullptr;
+    }
+    if (!set_no_delay(sockfd)) {
+        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
+        return nullptr;
+    }
+    struct sockaddr_in addr;
+    addr.sin_family = AF_INET;
+    addr.sin_port = htons(port);
+    struct hostent * server = gethostbyname(host);
+    if (server == NULL) {
+        GGML_LOG_ERROR("Cannot resolve host '%s'\n", host);
+        return nullptr;
+    }
+    memcpy(&addr.sin_addr.s_addr, server->h_addr, server->h_length);
+    if (::connect(sockfd, (struct sockaddr *)&addr, sizeof(addr)) < 0) {
+        return nullptr;
+    }
+    return socket_ptr(new socket_t(std::make_unique<impl>(sockfd)));
+}
+
+#ifdef _WIN32
+static std::mutex g_rpc_transport_mu;
+static bool g_rpc_transport_wsa_started = false;
+#endif
+
+bool rpc_transport_init() {
+#ifdef _WIN32
+    std::lock_guard<std::mutex> lock(g_rpc_transport_mu);
+    if (g_rpc_transport_wsa_started) {
+        return true;
+    }
+    WSADATA wsaData;
+    int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
+    if (res != 0) {
+        return false;
+    }
+    g_rpc_transport_wsa_started = true;
+    return true;
+#else
+    return true;
+#endif
+}
+
+void rpc_transport_shutdown() {
+#ifdef _WIN32
+    std::lock_guard<std::mutex> lock(g_rpc_transport_mu);
+    if (!g_rpc_transport_wsa_started) {
+        return;
+    }
+    WSACleanup();
+    g_rpc_transport_wsa_started = false;
+#endif
+}
diff --git a/ggml/src/ggml-rpc/transport.h b/ggml/src/ggml-rpc/transport.h
new file mode 100644
index 0000000000000000000000000000000000000000..73b85cc530a03229c96c2859f0470d14a4e886fe
--- /dev/null
+++ b/ggml/src/ggml-rpc/transport.h
@@ -0,0 +1,34 @@
+#pragma once
+
+#include <cstddef>
+#include <cstdint>
+#include <memory>
+
+struct socket_t;
+typedef std::shared_ptr<socket_t> socket_ptr;
+
+static constexpr size_t MAX_CHUNK_SIZE = 1024ull * 1024ull * 1024ull; // 1 GiB
+static constexpr size_t RPC_CONN_CAPS_SIZE = 24;
+
+struct socket_t {
+    ~socket_t();
+
+    bool send_data(const void * data, size_t size);
+    bool recv_data(void * data, size_t size);
+
+    socket_ptr accept();
+
+    void get_caps(uint8_t * local_caps);
+    void update_caps(const uint8_t * remote_caps);
+
+    static socket_ptr create_server(const char * host, int port);
+    static socket_ptr connect(const char * host, int port);
+
+private:
+    struct impl;
+    explicit socket_t(std::unique_ptr<impl> p);
+    std::unique_ptr<impl> pimpl;
+};
+
+bool rpc_transport_init();
+void rpc_transport_shutdown();
diff --git a/ggml/src/ggml-sycl/CMakeLists.txt b/ggml/src/ggml-sycl/CMakeLists.txt
index 7b07b227874fb01f17769e40ced9db7bc47072ac..f6d9b27dd80c8cf45ec2fdaaee63d6801a9e8756 100644
--- a/ggml/src/ggml-sycl/CMakeLists.txt
+++ b/ggml/src/ggml-sycl/CMakeLists.txt
@@ -1,161 +1,3 @@
-message(STATUS  "GGML_SYCL_TARGET=${GGML_SYCL_TARGET}")
-
-if (NOT GGML_SYCL_TARGET MATCHES "^(INTEL)$")
-    message(FATAL_ERROR "GGML_SYCL_TARGET: Invalid target, the supported options are [INTEL]")
-endif()
-
-check_cxx_compiler_flag("-fsycl" SUPPORTS_SYCL)
-
-if (DEFINED ENV{ONEAPI_ROOT})
-    message(STATUS "Using oneAPI Release SYCL compiler (icpx).")
-elseif(SUPPORTS_SYCL)
-    message(WARNING "Using open-source SYCL compiler (clang++). Didn't detect ENV {ONEAPI_ROOT}.
-        If you expected the oneAPI Release compiler, please install oneAPI & source it, like:
-        source /opt/intel/oneapi/setvars.sh")
-else()
-    message(FATAL_ERROR "C++ compiler lacks SYCL support.")
-endif()
-message(STATUS "SYCL found")
-#todo: AOT
-
-ggml_add_backend_library(ggml-sycl
-                         ggml-sycl.cpp
-                         ../../include/ggml-sycl.h
-                        )
-
-file(GLOB   GGML_HEADERS_SYCL "*.hpp")
-file(GLOB   GGML_SOURCES_SYCL "*.cpp")
-file(GLOB   SRCS "template-instances/fattn-tile*.cpp")
-list(APPEND GGML_SOURCES_SYCL ${SRCS})
-file(GLOB   SRCS "template-instances/fattn-vec*.cpp")
-list(APPEND GGML_SOURCES_SYCL ${SRCS})
-
-target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL} ${GGML_SOURCES_SYCL})
-
-if (WIN32)
-    # To generate a Visual Studio solution, using Intel C++ Compiler for ggml-sycl is mandatory
-    if( ${CMAKE_GENERATOR} MATCHES "Visual Studio" AND NOT (${CMAKE_GENERATOR_TOOLSET} MATCHES "Intel C"))
-        set_target_properties(ggml-sycl PROPERTIES VS_PLATFORM_TOOLSET "Intel C++ Compiler 2025")
-        set(CMAKE_CXX_COMPILER "icx")
-        set(CMAKE_CXX_COMPILER_ID "IntelLLVM")
-    endif()
-endif()
-
-macro(detect_and_find_package package_name)
-    set(test_source "
-    cmake_minimum_required(VERSION ${CMAKE_VERSION})
-    project(check_package LANGUAGES CXX)
-    find_package(${package_name} QUIET)
-    ")
-
-    set(test_dir "${CMAKE_CURRENT_BINARY_DIR}/check_package_${package_name}")
-    file(WRITE "${test_dir}/CMakeLists.txt" "${test_source}")
-
-    set(cmake_args "")
-    if(CMAKE_GENERATOR)
-        list(APPEND cmake_args "-G" "${CMAKE_GENERATOR}")
-    endif()
-    if(CMAKE_GENERATOR_PLATFORM)
-        list(APPEND cmake_args "-A" "${CMAKE_GENERATOR_PLATFORM}")
-    endif()
-    if(CMAKE_GENERATOR_TOOLSET)
-        list(APPEND cmake_args "-T" "${CMAKE_GENERATOR_TOOLSET}")
-    endif()
-    if(CMAKE_CXX_COMPILER)
-        list(APPEND cmake_args "-DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}")
-    endif()
-
-    execute_process(
-        COMMAND ${CMAKE_COMMAND} ${cmake_args} .
-        WORKING_DIRECTORY "${test_dir}"
-        RESULT_VARIABLE result
-        OUTPUT_QUIET
-        ERROR_QUIET
-    )
-
-    if(result EQUAL 0)
-        find_package(${package_name} ${ARGN})
-    else()
-        message(WARNING "Detection of ${package_name} failed. The package might be broken or incompatible.")
-        set(${package_name}_FOUND FALSE)
-    endif()
-endmacro()
-
-detect_and_find_package(IntelSYCL)
-if (IntelSYCL_FOUND)
-    # Use oneAPI CMake when possible
-    target_link_libraries(ggml-sycl PRIVATE IntelSYCL::SYCL_CXX)
-else()
-    # Fallback to the simplest way of enabling SYCL when using intel/llvm nightly for instance
-    target_compile_options(ggml-sycl PRIVATE "-fsycl")
-    target_link_options(ggml-sycl PRIVATE "-fsycl")
-endif()
-
-target_compile_options(ggml-sycl PRIVATE "-Wno-narrowing")
-
-# Link against oneDNN
-set(GGML_SYCL_DNNL 0)
-if(GGML_SYCL_DNN)
-    find_package(DNNL)
-    if(DNNL_FOUND)
-        if (NOT DEFINED DNNL_GPU_VENDOR)
-            # default to intel target
-            set(DNNL_GPU_VENDOR "INTEL")
-            if(NOT "${GGML_SYCL_TARGET}" STREQUAL "INTEL")
-                message(WARNING "oneDNN builds bundled with oneapi release only support INTEL target")
-            endif()
-        endif()
-
-        # Verify oneDNN was compiled for the same target as llama
-        if("${GGML_SYCL_TARGET}" STREQUAL "${DNNL_GPU_VENDOR}")
-            target_link_libraries(ggml-sycl PRIVATE DNNL::dnnl)
-            set(GGML_SYCL_DNNL 1)
-            get_target_property(CONFIGS DNNL::dnnl IMPORTED_CONFIGURATIONS)
-            foreach(CONFIG ${CONFIGS})
-                get_target_property(DNNL_LIB DNNL::dnnl IMPORTED_LOCATION_${CONFIG})
-                message(STATUS "Found oneDNN: ${DNNL_LIB}")
-            endforeach()
-        else()
-            message(WARNING
-                "oneDNN must be compiled for the same target as llama.cpp.
-                 llama.cpp: ${GGML_SYCL_TARGET}, oneDNN: ${DNNL_GPU_VENDOR}.
-                 Disabling oneDNN support.")
-        endif()
-    else()
-        message(STATUS "oneDNN not found, disabling oneDNN support")
-    endif()
-else()
-    message(STATUS "oneDNN support disabled by the user")
-endif()
-target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_DNNL=${GGML_SYCL_DNNL})
-
-if (GGML_SYCL_F16)
-    add_compile_definitions(GGML_SYCL_F16)
-endif()
-
-if (GGML_SYCL_TARGET STREQUAL "INTEL")
-    add_compile_definitions(GGML_SYCL_WARP_SIZE=16)
-    target_link_options(ggml-sycl PRIVATE  -Xs   -ze-intel-greater-than-4GB-buffer-required)
-
-    # Link against Intel oneMKL
-    if (CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
-        set(SYCL_COMPILER ON)
-    endif()
-    find_package(MKL REQUIRED)
-    target_link_libraries(ggml-sycl PRIVATE MKL::MKL_SYCL::BLAS)
-else()
-    # default for other target
-    message(FATAL_ERROR "GGML_SYCL_TARGET is not supported")
-    add_compile_definitions(GGML_SYCL_WARP_SIZE=32)
-endif()
-
-if (GGML_SYCL_GRAPH)
-    message(STATUS "find GGML_SYCL_GRAPH")
-    target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_GRAPH)
-endif()
-
-if (GGML_SYCL_DEVICE_ARCH)
-    target_compile_options(ggml-sycl PRIVATE -Xsycl-target-backend --offload-arch=${GGML_SYCL_DEVICE_ARCH})
-    target_link_options(ggml-sycl PRIVATE -Xsycl-target-backend --offload-arch=${GGML_SYCL_DEVICE_ARCH})
-endif()
-
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfe8a8284e020b5e2cd68619c1519581fa2b5cecc1c5b4e988241a37b55a7963
+size 6123
diff --git a/ggml/src/ggml-sycl/add-id.cpp b/ggml/src/ggml-sycl/add-id.cpp
index 8929017a999f206aa72e23aba73cb49812d91949..e0adc4fe42301796d40c62b74ec02f46f370243a 100644
--- a/ggml/src/ggml-sycl/add-id.cpp
+++ b/ggml/src/ggml-sycl/add-id.cpp
@@ -56,7 +56,7 @@ void ggml_sycl_add_id(ggml_backend_sycl_context& ctx, ggml_tensor* dst) {
   float* dst_d = (float*)dst->data;
 
   const unsigned int max_work_group_size = ggml_sycl_info().max_work_group_sizes[ctx.device];
-  assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
+  GGML_ASSERT(max_work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
 
   int threads = std::min((unsigned int)ne00, max_work_group_size);  // cols
 
diff --git a/ggml/src/ggml-sycl/common.hpp b/ggml/src/ggml-sycl/common.hpp
index fcb0db99c6b28990b2f02949b52e91c2e5bddadd..fd84c9178530f78b107aa17abb4e5e817a296d87 100644
--- a/ggml/src/ggml-sycl/common.hpp
+++ b/ggml/src/ggml-sycl/common.hpp
@@ -23,6 +23,7 @@
 #include "ggml-impl.h"
 #include "ggml-sycl.h"
 #include "presets.hpp"
+#include "type.hpp"
 #include "sycl_hw.hpp"
 
 namespace syclexp = sycl::ext::oneapi::experimental;
@@ -965,4 +966,10 @@ static T block_reduce(T val, T * shared_vals, int block_size_template) {
     return val;
 }
 
+static __dpct_inline__ float ggml_sycl_ue4m3_to_fp32(uint8_t x) {
+    const uint32_t bits = x * (x != 0x7F && x != 0xFF);
+    const __nv_fp8_e4m3 xf = *reinterpret_cast<const __nv_fp8_e4m3 *>(&bits);
+    return static_cast<float>(xf) / 2;
+}
+
 #endif // GGML_SYCL_COMMON_HPP
diff --git a/ggml/src/ggml-sycl/convert.cpp b/ggml/src/ggml-sycl/convert.cpp
index d17aca2cac4eac239965805f802879fbf5b857b9..f3c521b45f63ba203084f2bb3e6146b38de3519d 100644
--- a/ggml/src/ggml-sycl/convert.cpp
+++ b/ggml/src/ggml-sycl/convert.cpp
@@ -151,6 +151,25 @@ static void dequantize_row_q4_0_sycl_reorder(const void *vx, dst_t *y, const int
 
 }
 
+template <typename dst_t>
+static void dequantize_row_q8_0_sycl_reorder(const void *vx, dst_t *y, const int64_t k,
+                                     dpct::queue_ptr stream) {
+
+    dpct::has_capability_or_fail(stream->get_device(),
+                                    {sycl::aspect::fp16});
+
+    int constexpr WARP_K = WARP_SIZE * QK8_0;
+    const int n_warp = (k + WARP_K - 1) / WARP_K;
+    GGML_ASSERT(k % QK8_0 == 0);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, n_warp) *
+        sycl::range<3>(1, 1, WARP_SIZE),
+        sycl::range<3>(1, 1, WARP_SIZE)),
+        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
+            dequantize_block_q8_0_reorder(vx, y, k, item_ct1);
+        });
+
+}
+
 template <typename dst_t>
 static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int64_t k,
                                      dpct::queue_ptr stream) {
@@ -482,6 +501,18 @@ static void dequantize_row_mxfp4_sycl(const void * vx, dst_t * y, const int64_t
         });
 }
 
+template <typename dst_t>
+static void dequantize_row_nvfp4_sycl(const void * vx, dst_t * y, const int64_t k, dpct::queue_ptr stream) {
+    GGML_ASSERT(k % QK_NVFP4 == 0);
+    const int nb = k / QK_NVFP4;
+    stream->parallel_for(
+        sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * sycl::range<3>(1, 1, 32), sycl::range<3>(1, 1, 32)),
+        [=](sycl::nd_item<3> /*item_ct1*/) {
+            dequantize_block_nvfp4(vx, y, k);
+        });
+}
+
+
 template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static void dequantize_block_nc(const void * __restrict__ vx, dst_t * __restrict__ y,
         const int64_t ne00, const int64_t ne01, const int64_t ne02,
@@ -602,7 +633,12 @@ to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst) {
         case GGML_TYPE_Q5_1:
             return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
         case GGML_TYPE_Q8_0:
-            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            if (dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                return dequantize_row_q8_0_sycl_reorder;
+            } else {
+                return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            }
         case GGML_TYPE_Q2_K:
             return dequantize_row_q2_K_sycl;
         case GGML_TYPE_Q3_K:
@@ -641,6 +677,8 @@ to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst) {
             return dequantize_row_iq4_nl_sycl;
         case GGML_TYPE_MXFP4:
             return dequantize_row_mxfp4_sycl;
+        case GGML_TYPE_NVFP4:
+            return dequantize_row_nvfp4_sycl;
         case GGML_TYPE_F32:
             return convert_unary_sycl<float>;
 #ifdef GGML_SYCL_HAS_BF16
@@ -648,6 +686,7 @@ to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst) {
             return convert_unary_sycl<sycl::ext::oneapi::bfloat16>;
 #endif
         default:
+            GGML_ABORT("fatal error: unsupport data type=%s\n", ggml_type_name(type));
             return nullptr;
     }
 }
@@ -668,7 +707,12 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
         case GGML_TYPE_Q5_1:
             return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
         case GGML_TYPE_Q8_0:
-            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            if (dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu*)dst->src[0]->extra)->optimized_feature.reorder) {
+                return dequantize_row_q8_0_sycl_reorder;
+            } else {
+                return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            }
         case GGML_TYPE_Q2_K:
             return dequantize_row_q2_K_sycl;
         case GGML_TYPE_Q3_K:
@@ -708,6 +752,8 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
             return dequantize_row_iq4_nl_sycl;
         case GGML_TYPE_MXFP4:
             return dequantize_row_mxfp4_sycl;
+        case GGML_TYPE_NVFP4:
+            return dequantize_row_nvfp4_sycl;
         case GGML_TYPE_F16:
             return convert_unary_sycl<sycl::half>;
 #ifdef GGML_SYCL_HAS_BF16
@@ -715,6 +761,7 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
             return convert_unary_sycl<sycl::ext::oneapi::bfloat16>;
 #endif
         default:
+            GGML_ABORT("fatal error: unsupport data type=%s\n", ggml_type_name(type));
             return nullptr;
     }
 }
diff --git a/ggml/src/ggml-sycl/dequantize.hpp b/ggml/src/ggml-sycl/dequantize.hpp
index da2a605daa8896fed95057fff22674c221a6874c..19fa88680d696bd57e6cc40d331e24b7a72acde1 100644
--- a/ggml/src/ggml-sycl/dequantize.hpp
+++ b/ggml/src/ggml-sycl/dequantize.hpp
@@ -14,6 +14,7 @@
 #define GGML_SYCL_DEQUANTIZE_HPP
 
 #include "common.hpp"
+#include "convert.hpp"
 
 typedef void (*dequantize_kernel_t)(const void * vx, const int64_t ib, const int iqs, dfloat2 & v);
 typedef void (*dequantize_kernel_t_reorder)(const void *d, const int64_t ib, const void *qs,
@@ -143,6 +144,22 @@ static __dpct_inline__ void dequantize_q5_1(const void *vx, const int64_t ib,
 #endif // GGML_SYCL_F16
 }
 
+static __dpct_inline__ void dequantize_q8_0_reorder(const void *d_ptr, const int64_t ib, const void *qs,
+                                            const int iqs, dfloat2 &v) {
+    const dfloat d = (const dfloat)*((const sycl::half*)d_ptr + ib);
+
+    v.x() = ((const int8_t *)qs)[iqs + 0];
+    v.y() = ((const int8_t *)qs)[iqs + 1];
+
+#ifdef GGML_SYCL_F16
+    v.s0() *= d;
+    v.s1() *= d;
+#else
+    v.x() *= d;
+    v.y() *= d;
+#endif // GGML_SYCL_F16
+}
+
 static __dpct_inline__ void dequantize_q8_0(const void *vx, const int64_t ib,
                                             const int iqs, dfloat2 &v) {
     const block_q8_0 * x = (const block_q8_0 *) vx;
@@ -222,6 +239,34 @@ static void dequantize_block_q4_0_reorder(const void * __restrict__ vx, dst_t *
 
 }
 
+// Dequantize Q8_0 from reorder layout: [all qs (k bytes)][all d values]
+// Each thread handles one block of QK8_0 elements.
+template<typename dst_t>
+static void dequantize_block_q8_0_reorder(const void * __restrict__ vx, dst_t * __restrict__ yy, int64_t k,
+                                  const sycl::nd_item<3> &item_ct1) {
+
+    const int64_t i = item_ct1.get_group(2);
+    const int64_t tid = item_ct1.get_local_id(2);
+    const int lane_ib = i * WARP_SIZE + tid;
+
+    if (lane_ib >= k / QK8_0) {
+        return;
+    }
+
+    dst_t * y_ptr = yy + lane_ib * QK8_0;
+
+    auto qs = (const int8_t*)vx + lane_ib * QK8_0;
+    auto s_ptr = (const sycl::half*)((const uint8_t*)vx + k) + lane_ib;
+
+    const float d = float(*s_ptr);
+
+#pragma unroll
+    for (int l = 0; l < QK8_0; ++l) {
+        y_ptr[l] = d * qs[l];
+    }
+
+}
+
 template<typename dst_t>
 static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int64_t nb32,
                                   const sycl::nd_item<3> &item_ct1) {
@@ -838,4 +883,36 @@ static void dequantize_block_mxfp4(const void * __restrict__ vx, dst_t * __restr
     }
 }
 
+
+template <typename dst_t>
+static void dequantize_block_nvfp4(
+        const void * __restrict__ vx,
+        dst_t * __restrict__ yy,
+        const int64_t ne) {
+    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int64_t i        = item_ct1.get_group(2);
+    const int     tid      = item_ct1.get_local_id(2);
+
+    const int64_t base = i * QK_NVFP4;
+    if (base >= ne) {
+        return;
+    }
+
+    const block_nvfp4 * x = (const block_nvfp4 *) vx;
+    const block_nvfp4 & xb = x[i];
+
+    const int sub = tid / (QK_NVFP4_SUB / 2);
+    const int j = tid % (QK_NVFP4_SUB / 2);
+
+    const float d = ggml_sycl_ue4m3_to_fp32(xb.d[sub]);
+    const uint8_t q = xb.qs[sub * (QK_NVFP4_SUB / 2) + j];
+
+    const int64_t y0 = base + sub * QK_NVFP4_SUB + j;
+    const int64_t y1 = y0 + QK_NVFP4_SUB / 2;
+
+    yy[y0] = ggml_sycl_cast<dst_t>(d * kvalues_mxfp4[q & 0x0F]);
+    yy[y1] = ggml_sycl_cast<dst_t>(d * kvalues_mxfp4[q >> 4]);
+}
+
+
 #endif // GGML_SYCL_DEQUANTIZE_HPP
diff --git a/ggml/src/ggml-sycl/dmmv.cpp b/ggml/src/ggml-sycl/dmmv.cpp
index 4f2760110c212c68a0f6146acd63d484b480a9e9..5577bf73b28a7fec7ef9ef56331f0c8774a6ff58 100644
--- a/ggml/src/ggml-sycl/dmmv.cpp
+++ b/ggml/src/ggml-sycl/dmmv.cpp
@@ -615,6 +615,162 @@ static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx,
     }
 }
 
+static void dequantize_mul_mat_vec_q4_k_reorder(const void *__restrict__ vx,
+                                                const float *__restrict__ yy,
+                                                float *__restrict__ dst,
+                                                const int ncols, int nrows,
+                                                const sycl::nd_item<3> &item_ct1) {
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    // SOA base pointers for the reordered layout:
+    //   [qs: nb * QK_K/2] [scales: nb * K_SCALE_SIZE] [dm: nb * sizeof(half2)]
+    const int nb = nrows * num_blocks_per_row;
+    const uint8_t     * qs_base     = (const uint8_t *)vx;
+    const uint8_t     * scales_base = qs_base + (size_t)nb * (QK_K / 2);
+    const sycl::half2 * dm_base     = (const sycl::half2 *)(scales_base + (size_t)nb * K_SCALE_SIZE);
+
+#if QK_K == 256
+    const uint16_t kmask1 = 0x3f3f;
+    const uint16_t kmask2 = 0x0f0f;
+    const uint16_t kmask3 = 0xc0c0;
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
+
+    const int step = 8/K_QUANTS_PER_ITERATION;           // 8 or 4
+
+    const int il  = tid/step;                            // 0...3
+    const int ir  = tid - step*il;                       // 0...7 or 0...3
+    const int n   = 2 * K_QUANTS_PER_ITERATION;          // 2 or 4
+
+    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
+    const int in = il%2;
+
+    const int l0 = n*(2*ir + in);
+    const int q_offset = 32*im + l0;
+    const int y_offset = 64*im + l0;
+
+    uint16_t aux[4];
+    const uint8_t * sc = (const uint8_t *)aux;
+
+#if K_QUANTS_PER_ITERATION == 2
+    uint32_t q32[4];
+    const uint8_t * q4 = (const uint8_t *)q32;
+#else
+    uint16_t q16[4];
+    const uint8_t * q4 = (const uint8_t *)q16;
+#endif
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const float   * y1 = yy + i*QK_K + y_offset;
+        const float   * y2 = y1 + 128;
+
+        const sycl::half2 dm_val = dm_base[bi];
+        const float dall = dm_val[0];
+        const float dmin = dm_val[1];
+
+        const uint16_t * a = (const uint16_t *)(scales_base + bi * K_SCALE_SIZE);
+        aux[0] = a[im+0] & kmask1;
+        aux[1] = a[im+2] & kmask1;
+        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
+        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
+
+#if K_QUANTS_PER_ITERATION == 2
+        const uint32_t * q1 = (const uint32_t *)(qs_base + bi * (QK_K / 2) + q_offset);
+        const uint32_t * q2 = q1 + 16;
+
+        q32[0] = q1[0] & 0x0f0f0f0f;
+        q32[1] = q1[0] & 0xf0f0f0f0;
+        q32[2] = q2[0] & 0x0f0f0f0f;
+        q32[3] = q2[0] & 0xf0f0f0f0;
+
+        sycl::float4 s = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        for (int l = 0; l < 4; ++l) {
+            s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4];
+            s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12];
+            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
+        }
+        tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f +
+                       s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) -
+               dmin * smin;
+#else
+        const uint16_t * q1 = (const uint16_t *)(qs_base + bi * (QK_K / 2) + q_offset);
+        const uint16_t * q2 = q1 + 32;
+
+        q16[0] = q1[0] & 0x0f0f;
+        q16[1] = q1[0] & 0xf0f0;
+        q16[2] = q2[0] & 0x0f0f;
+        q16[3] = q2[0] & 0xf0f0;
+
+        float4 s = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        for (int l = 0; l < 2; ++l) {
+            s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2];
+            s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6];
+            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
+        }
+        tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin;
+#endif
+
+    }
+#else
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);
+
+    const int step = tid * K_QUANTS_PER_ITERATION;
+
+    uint16_t aux16[2];
+    const uint8_t * s = (const uint8_t *)aux16;
+
+    float tmp = 0;
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const uint8_t * q = qs_base + bi * (QK_K / 2) + step;
+        const float   * y = yy + i*QK_K + step;
+        const uint16_t * a = (const uint16_t *)(scales_base + bi * K_SCALE_SIZE);
+        aux16[0] = a[0] & 0x0f0f;
+        aux16[1] = (a[0] >> 4) & 0x0f0f;
+        const sycl::half2 dm_val = dm_base[bi];
+        const float d = (float)dm_val[0];
+        const float m = (float)dm_val[1];
+        float sum = 0.f;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
+                 + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2])
+                 + y[j+32] * (d * s[1] * (q[j+ 0] >>  4) - m * s[3])
+                 + y[j+48] * (d * s[1] * (q[j+16] >>  4) - m * s[3]);
+        }
+        tmp += sum;
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = QK_WARP_SIZE / 2; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+        dst[row] = tmp;
+    }
+}
+
 /*
 DPCT1110:7: The total declared local variable size in device function
 dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register
@@ -864,6 +1020,129 @@ static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const floa
     }
 }
 
+static void dequantize_mul_mat_vec_q6_k_reorder(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows,
+                                                const sycl::nd_item<3> &item_ct1) {
+
+    static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    // SOA base pointers for the reordered layout:
+    //   [ql: nb * QK_K/2] [qh: nb * QK_K/4] [scales: nb * QK_K/16] [d: nb * sizeof(half)]
+    const int nb = nrows * num_blocks_per_row;
+    const uint8_t   * ql_base     = (const uint8_t *)vx;
+    const uint8_t   * qh_base     = ql_base + (size_t)nb * (QK_K / 2);
+    const int8_t    * scales_base = (const int8_t *)(qh_base + (size_t)nb * (QK_K / 4));
+    const sycl::half * d_base     = (const sycl::half *)((const uint8_t *)scales_base + (size_t)nb * (QK_K / 16));
+
+#if QK_K == 256
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1
+
+    const int step = 16/K_QUANTS_PER_ITERATION;          // 16 or 8
+
+    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const int in = tid - step*im;                        // 0...15 or 0...7
+
+#if K_QUANTS_PER_ITERATION == 1
+    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15
+    const int is = 0;
+#else
+    const int l0 = 4 * in;                               // 0, 4, 8, ..., 28
+    const int is = in / 4;
+#endif
+    const int ql_offset = 64*im + l0;
+    const int qh_offset = 32*im + l0;
+    const int s_offset  =  8*im + is;
+    const int y_offset = 128*im + l0;
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const float   * y  = yy + i * QK_K + y_offset;
+        const uint8_t * ql = ql_base + bi * (QK_K / 2) + ql_offset;
+        const uint8_t * qh = qh_base + bi * (QK_K / 4) + qh_offset;
+        const int8_t  * s  = scales_base + bi * (QK_K / 16) + s_offset;
+
+        const float d = d_base[bi];
+
+#if K_QUANTS_PER_ITERATION == 1
+        float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
+                  + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
+                  + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
+                  + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
+                  + y[64] * s[4] * d * ((int8_t)((ql[ 0]  >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
+                  + y[80] * s[5] * d * ((int8_t)((ql[16]  >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
+                  + y[96] * s[6] * d * ((int8_t)((ql[32]  >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
+                  +y[112] * s[7] * d * ((int8_t)((ql[48]  >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
+        tmp += sum;
+#else
+        float sum = 0;
+        for (int l = 0; l < 4; ++l) {
+            sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
+                 + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
+                 + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
+                 + y[l+96] * s[6] * d * ((int8_t)((ql[l+32]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
+        }
+        tmp += sum;
+#endif
+
+    }
+
+#else
+
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...7
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);  // 0...3
+
+    const int step = tid * K_QUANTS_PER_ITERATION;
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const float   * y  = yy + i * QK_K + step;
+        const uint8_t * ql = ql_base + bi * (QK_K / 2) + step;
+        const uint8_t * qh = qh_base + bi * (QK_K / 4) + step;
+        const int8_t  * s  = scales_base + bi * (QK_K / 16);
+
+        const float d = d_base[bi];
+
+        float sum = 0;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32)
+                 + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32)
+                 + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >>  4) | ((qh[j] & 0x30) >> 0)) - 32)
+                 + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >>  4) | ((qh[j] & 0xc0) >> 2)) - 32);
+        }
+        tmp += sum;
+
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = QK_WARP_SIZE / 2; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+        dst[row] = tmp;
+    }
+}
+
 static void dequantize_mul_mat_vec_q4_0_sycl_reorder(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
@@ -972,6 +1251,103 @@ static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y,
     }
 }
 
+static void dequantize_mul_mat_vec_q8_0_sycl_reorder(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                // Q8_0 reorder layout: [all qs (ncols*nrows bytes)][all d values]
+                // Cannot reuse dequantize_mul_mat_vec_reorder template because it has
+                // Q4_0-specific constants hardcoded (d_ptr offset and qs stride).
+                const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+                if (row >= nrows) return;
+
+                const int tid = item_ct1.get_local_id(2);
+                const int iter_stride = 8*2*GGML_SYCL_DMMV_X;
+                const int vals_per_iter = iter_stride / WARP_SIZE;
+                const int ncols_left = ncols % (QK8_0*WARP_SIZE);
+                const int ncols_align = ncols - ncols_left;
+
+#ifdef GGML_SYCL_F16
+                sycl::half2 tmp = {0.0f, 0.0f};
+#else
+                float tmp = 0.0f;
+#endif
+                const char *d_ptr = (const char*)vx + ncols*nrows;  // d after all qs
+
+                int i = 0;
+                for (i = 0; i < ncols_align; i += iter_stride) {
+                    const int col = i + vals_per_iter*tid;
+                    const int ib = (row*ncols + col)/QK8_0;
+                    const int iqs = col % QK8_0;
+
+#pragma unroll
+                    for (int j = 0; j < vals_per_iter; j += 2) {
+                        dfloat2 v;
+                        dequantize_q8_0_reorder((const void *)d_ptr, ib, (const void *)vx,
+                                                ib * QK8_0 + iqs + j, v);
+
+#ifdef GGML_SYCL_F16
+                        dfloat2 t1{y[col + j + 0], y[col + j + 1]};
+                        tmp += v * t1;
+#else
+                        tmp += v.x() * y[col + j + 0];
+                        tmp += v.y() * y[col + j + 1];
+#endif
+                    }
+                }
+
+                // handle remaining columns
+                for (; i < ncols; i += iter_stride) {
+                    if (tid >= ncols_left/QK8_0) continue;
+                    const int col = i + vals_per_iter*tid;
+                    const int ib = (row*ncols + col)/QK8_0;
+                    const int iqs = col % QK8_0;
+
+#pragma unroll
+                    for (int j = 0; j < vals_per_iter; j += 2) {
+                        dfloat2 v;
+                        dequantize_q8_0_reorder((const void *)d_ptr, ib, (const void *)vx,
+                                                ib * QK8_0 + iqs + j, v);
+
+#ifdef GGML_SYCL_F16
+                        dfloat2 t1{y[col + j + 0], y[col + j + 1]};
+                        tmp += v * t1;
+#else
+                        tmp += v.x() * y[col + j + 0];
+                        tmp += v.y() * y[col + j + 1];
+#endif
+                    }
+                }
+
+                // reduce
+                const int mask_start = ncols > GGML_SYCL_DMMV_X ? WARP_SIZE >> 1 : WARP_SIZE >> 2;
+                for (int mask = mask_start; mask > 0; mask >>= 1) {
+                    tmp += dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+                }
+
+                if (tid == 0) {
+#ifdef GGML_SYCL_F16
+                    dst[row] = tmp.x() + tmp.y();
+#else
+                    dst[row] = tmp;
+#endif
+                }
+            });
+    }
+}
+
 static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
@@ -1070,6 +1446,38 @@ static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y,
         });
 }
 
+static void dequantize_mul_mat_vec_q4_K_sycl_reorder(const void *vx, const float *y,
+                                                     float *dst, const int ncols,
+                                                     const int nrows,
+                                                     dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, QK_WARP_SIZE);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(QK_WARP_SIZE)]] {
+            dequantize_mul_mat_vec_q4_k_reorder(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
+static void dequantize_mul_mat_vec_q6_K_sycl_reorder(const void *vx, const float *y,
+                                                     float *dst, const int ncols,
+                                                     const int nrows,
+                                                     dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, QK_WARP_SIZE);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(QK_WARP_SIZE)]] {
+            dequantize_mul_mat_vec_q6_k_reorder(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
 void ggml_sycl_op_dequantize_mul_mat_vec(
     ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
@@ -1122,7 +1530,12 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
             dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
             break;
         case GGML_TYPE_Q8_0:
-            dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                dequantize_mul_mat_vec_q8_0_sycl_reorder(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            } else {
+                dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            }
             break;
         case GGML_TYPE_Q2_K:
             dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
@@ -1133,8 +1546,7 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
         case GGML_TYPE_Q4_K:
             if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
                 ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
-                // reorder is currently not supported for dmmv
-                GGML_ABORT("Unimplemented dequantize case case for q4_k reorder");
+                dequantize_mul_mat_vec_q4_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
             } else {
                 dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
             }
@@ -1143,7 +1555,12 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
             dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
             break;
         case GGML_TYPE_Q6_K:
-            dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                dequantize_mul_mat_vec_q6_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            } else {
+                dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            }
             break;
         case GGML_TYPE_F16:
             convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
diff --git a/ggml/src/ggml-sycl/element_wise.cpp b/ggml/src/ggml-sycl/element_wise.cpp
index ec0247528c4472e20b4f2d74741d3abd6027f582..249e80c826ea0a397edc7f99292bc6776bff1103 100644
--- a/ggml/src/ggml-sycl/element_wise.cpp
+++ b/ggml/src/ggml-sycl/element_wise.cpp
@@ -355,7 +355,7 @@ static void acc_f32_sycl(const float *x, const float *y, float *dst,
     const int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE;
     stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE),
                                            sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)),
-                         [=](sycl::nd_item<3> item_ct1) {
+                         [=](sycl::nd_item<3> /*item_ct1*/) {
                              acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, ne13, s1, s2, s3, offset);
                          });
 }
diff --git a/ggml/src/ggml-sycl/fattn-tile.cpp b/ggml/src/ggml-sycl/fattn-tile.cpp
index 9d4f019cf517366d556fcccecc15be0ee64da37b..9449d75784d0e7731492989db147fdbe9e83bb7b 100644
--- a/ggml/src/ggml-sycl/fattn-tile.cpp
+++ b/ggml/src/ggml-sycl/fattn-tile.cpp
@@ -44,6 +44,10 @@ void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor
             GGML_ASSERT(V->ne[0] == K->ne[0]);
             ggml_sycl_flash_attn_ext_tile_case<256, 256>(ctx, dst);
         } break;
+        case 512: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case<512, 512>(ctx, dst);
+        } break;
         case 576: {
             GGML_ASSERT(V->ne[0] == 512);
             ggml_sycl_flash_attn_ext_tile_case<576, 512>(ctx, dst);
diff --git a/ggml/src/ggml-sycl/fattn-tile.hpp b/ggml/src/ggml-sycl/fattn-tile.hpp
index 29fd0f8c9ece520cb64db5039774d5f836132650..9ba5296968d5af828c8a7e3119604832d6fc685c 100644
--- a/ggml/src/ggml-sycl/fattn-tile.hpp
+++ b/ggml/src/ggml-sycl/fattn-tile.hpp
@@ -67,9 +67,16 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp16(const int DKQ, co
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  64,  64)
 
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  2,  64, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 32, 256, 2,  64,  64)
+
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2,  64,  64)
 
     return 0;
 }
@@ -123,6 +130,12 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, co
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32,  64)
 
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  2, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 32, 256, 2,  64,  64)
+
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  32,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  32,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  32,  64)
@@ -130,134 +143,6 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, co
     return 0;
 }
 
-static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd(const int DKQ, const int DV, const int ncols) {
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 3,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4, 128, 3,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 2,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 256, 2, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 64, 256, 2,  64,  64)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 64, 256, 2,  32,  72)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 64, 256, 2,  32,  48)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2,  32,  56)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2, 256, 2, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 2,  64,  32)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2, 256, 2, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32, 128)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 512, 1, 128,  64)
-
-    return 0;
-}
-
-static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd_rdna(const int DKQ, const int DV, const int ncols) {
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 5, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 128, 5, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 128, 4,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 64, 128, 5,  64,  64)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 64, 256, 2,  32,  72)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 64, 256, 2,  32,  48)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2,  32,  56)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 8,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 128, 8,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 3, 128, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 3, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 3,  64,  64)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 128, 6,  32, 256)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 128, 6,  32, 256)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5,  32, 256)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3,  64, 128)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 4,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2, 128,  64)
-
-    return 0;
-}
-
 static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols, const int cc) {
     if(fast_fp16_available(cc))
         return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols);
@@ -310,11 +195,11 @@ static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const
                                                       sycl::half2 * const __restrict__ tile_KV,
                                                       const int stride_KV,
                                                       const int i_sup) {
+    auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
     constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
     constexpr int cpy_ne = cpy_nb / 4;
 
     auto load = [&] (const int n) {
-        auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
         const int stride_j = warp_size >> n;
 
         if (stride_j == 0) {
@@ -455,7 +340,7 @@ static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp,
 
     flash_attn_tile_load_tile<warp_size, nwarps, nbatch_fa, nbatch_K, cpy_ne, oob_check>
         (K_h2 + int64_t(k_VKQ_0)*stride_K2 + k_KQ_0/2, KV_tmp, stride_K2, k_VKQ_sup);
-    item_ct1.barrier();
+    item_ct1.barrier(sycl::access::fence_space::local_space);
 
 #ifdef SYCL_FAST_FP16
     static_assert((nbatch_K/2) % cpy_ne == 0, "bad nbatch_K");
@@ -505,7 +390,7 @@ static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp,
     }
 
     if (k_KQ_0 + nbatch_K < DKQ) {
-        item_ct1.barrier();  // Sync not needed on last iteration.
+        item_ct1.barrier(sycl::access::fence_space::local_space);  // Sync not needed on last iteration.
     }
 }
 
@@ -545,7 +430,7 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
                                                  const int         k_VKQ_max,
                                                  const int         col_Q_0,
                                                  float *           KQ_max_new_shared) {
-    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
     constexpr int cpy_nb   = ggml_sycl_get_max_cpy_bytes();
     constexpr int cpy_ne = cpy_nb / 4;
 
@@ -620,14 +505,14 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
     }
 
     if constexpr (np == 1) {
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
     } else {
         static_assert(cpw == 1, "bad cpw");
 
         if (item_ct1.get_local_id(2) == 0) {
             KQ_max_new_shared[item_ct1.get_local_id(1)] = KQ_max_new[0];
         }
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
         KQ_max_new[0] = KQ_max_new_shared[(item_ct1.get_local_id(1) & ~(np - 1)) + item_ct1.get_local_id(2) % np];
         KQ_max_new[0] = warp_reduce_max<np>(KQ_max_new[0]);
     }
@@ -697,7 +582,7 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
     for (int k0 = 0; k0 < nbatch_fa; k0 += nbatch_V) {
         flash_attn_tile_load_tile<warp_size, nwarps, nbatch_V, DV, 0, oob_check>
             (V_h2 + int64_t(k_VKQ_0 + k0)*stride_V2, KV_tmp, stride_V2, k_VKQ_sup - k0);
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
 
 #ifdef SYCL_FAST_FP16
 #pragma unroll
@@ -765,7 +650,7 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
             }
         }
 #endif // SYCL_FAST_FP16
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
     }
 }
 
@@ -972,7 +857,7 @@ static void flash_attn_tile(const char *  Q,
         }
     }
 
-    item_ct1.barrier();
+    item_ct1.barrier(sycl::access::fence_space::local_space);
 
     // Main loop over KV cache:
     const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11;
@@ -1051,7 +936,7 @@ static void flash_attn_tile(const char *  Q,
             return;
         }
 
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
 
 #pragma unroll
         for (int ip = 1; ip < np; ++ip) {
@@ -1193,37 +1078,39 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_sycl_context & ctx, ggm
 
     constexpr size_t nbytes_shared = 0;
 
-    if constexpr (DV <= 256) {
-        if (Q->ne[1] > 16/ncols2) {
-            constexpr int cols_per_block = 32;
-            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-            launch_fattn<DV, cols_per_block/ncols2, ncols2,
-                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
-                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
-            return;
+    if (DV < 512 && Q->ne[1] < 32) {
+        if constexpr (ncols2 <= 32) {
+            if (Q->ne[1] > 16/ncols2) {
+                constexpr int cols_per_block = 32;
+                const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+                const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+                launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                    flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                    (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+                return;
+            }
         }
-    }
-
-    if (Q->ne[1] > 8/ncols2) {
-        constexpr int cols_per_block = 16;
-        const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-        const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-        launch_fattn<DV, cols_per_block/ncols2, ncols2,
-            flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
-            (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
-        return;
-    }
-
-    if constexpr (ncols2 <= 8) {
-        if (Q->ne[1] > 4/ncols2) {
-            constexpr int cols_per_block = 8;
-            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-            launch_fattn<DV, cols_per_block/ncols2, ncols2,
-                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
-                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
-            return;
+        if constexpr (ncols2 <= 16) {
+            if (Q->ne[1] > 8/ncols2) {
+                constexpr int cols_per_block = 16;
+                const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+                const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+                launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                    flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                    (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+                return;
+            }
+        }
+        if constexpr (ncols2 <= 8) {
+            if (Q->ne[1] > 4/ncols2) {
+                constexpr int cols_per_block = 8;
+                const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+                const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+                launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                    flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                    (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+                return;
+            }
         }
     }
 
@@ -1249,6 +1136,16 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_sycl_context & ctx, ggm
         return;
     }
 
+    {
+        constexpr int cols_per_block = ncols2*2;
+        const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+        const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+        launch_fattn<DV, cols_per_block/ncols2, ncols2,
+            flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+            (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+        return;
+    }
+
     GGML_ABORT("fatal error");
 }
 
@@ -1280,6 +1177,16 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_sycl_context & ctx, ggm
             launch_fattn_tile_switch_ncols1<DKQ, DV, 4, use_logit_softcap>(ctx, dst);
             return;
         }
+        // ncols2=2 and ncols2=1 fallbacks only for cases where ncols=2 config exists (DKQ == DV).
+        // For DKQ == 576, DV == 512 only GQA-optimized variants are implemented.
+        if constexpr (DKQ == DV) {
+            if (use_gqa_opt && gqa_ratio % 2 == 0) {
+                launch_fattn_tile_switch_ncols1<DKQ, DV, 2, use_logit_softcap>(ctx, dst);
+                return;
+            }
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 1, use_logit_softcap>(ctx, dst);
+            return;
+        }
     }
 
     if constexpr (DV <= 256) {
@@ -1334,5 +1241,6 @@ extern DECL_FATTN_TILE_CASE( 96,  96);
 extern DECL_FATTN_TILE_CASE(112, 112);
 extern DECL_FATTN_TILE_CASE(128, 128);
 extern DECL_FATTN_TILE_CASE(256, 256);
+extern DECL_FATTN_TILE_CASE(512, 512);
 extern DECL_FATTN_TILE_CASE(576, 512);
 
diff --git a/ggml/src/ggml-sycl/fattn-vec.hpp b/ggml/src/ggml-sycl/fattn-vec.hpp
index 48c389052f435b5187e9e2fe5c4d8babfc6f363c..8031acfdff8831475fdbf80e0398dc553e7b9c4f 100644
--- a/ggml/src/ggml-sycl/fattn-vec.hpp
+++ b/ggml/src/ggml-sycl/fattn-vec.hpp
@@ -664,4 +664,11 @@ EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_0)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_1)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q8_0)
 
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_F16)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q4_0)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q4_1)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q5_0)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q5_1)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q8_0)
+
 #endif // GGML_SYCL_FATTN_VEC_HPP
diff --git a/ggml/src/ggml-sycl/fattn.cpp b/ggml/src/ggml-sycl/fattn.cpp
index c276ed898270ac2e9e977732227fb9428fee4f01..7c6e6112fdcdd488aa2ff41279444f77f7dcaec2 100644
--- a/ggml/src/ggml-sycl/fattn.cpp
+++ b/ggml/src/ggml-sycl/fattn.cpp
@@ -34,6 +34,7 @@
     FATTN_VEC_CASE( 64, type_K, type_V)       \
     FATTN_VEC_CASE(128, type_K, type_V)       \
     FATTN_VEC_CASE(256, type_K, type_V)       \
+    FATTN_VEC_CASE(512, type_K, type_V)       \
 
 static void ggml_sycl_flash_attn_ext_vec(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
     ggml_tensor * Q = dst->src[0];
@@ -141,6 +142,7 @@ static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const
         case 128:
         case 112:
         case 256:
+        case 512:
             if (V->ne[0] != K->ne[0]) {
                 return BEST_FATTN_KERNEL_NONE;
             }
@@ -185,7 +187,7 @@ static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const
     }
 
     // For small batch sizes the vector kernel may be preferable over the kernels optimized for large batch sizes:
-    const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0;
+    const bool can_use_vector_kernel = Q->ne[0] <= 512 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0;
 
     // Todo: Use the XMX kernel if possible:
 
diff --git a/ggml/src/ggml-sycl/gated_delta_net.cpp b/ggml/src/ggml-sycl/gated_delta_net.cpp
index 648455c134b1d4e7cf9eae3f75ad803442a4e9e8..ebc587524bf4bcce8b4016750d88199167b2a411 100644
--- a/ggml/src/ggml-sycl/gated_delta_net.cpp
+++ b/ggml/src/ggml-sycl/gated_delta_net.cpp
@@ -176,14 +176,12 @@ static void launch_gated_delta_net(const float *   q_d,
     const sycl::uint3 neqk1_magic = init_fastdiv_values(neqk1);
     const sycl::uint3 rq3_magic   = init_fastdiv_values(rq3);
 
-    int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc;
-
     switch (S_v) {
         case 16:
             {
                 constexpr int sv = 16;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                     [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                     [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                          gated_delta_net_sycl<sv, KDA>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens,
                                                                        n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2,
                                                                        sb3, neqk1_magic, rq3_magic, scale);
@@ -194,7 +192,7 @@ static void launch_gated_delta_net(const float *   q_d,
             {
                 constexpr int sv = 32;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                     [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                     [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                          gated_delta_net_sycl<sv, KDA>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens,
                                                                        n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2,
                                                                        sb3, neqk1_magic, rq3_magic, scale);
@@ -205,7 +203,7 @@ static void launch_gated_delta_net(const float *   q_d,
             {
                 constexpr int sv = 64;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                        [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                             gated_delta_net_sycl<sv, KDA>(
                                                 q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2,
                                                 sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
@@ -217,7 +215,7 @@ static void launch_gated_delta_net(const float *   q_d,
             {
                 constexpr int sv = 128;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                        [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                             gated_delta_net_sycl<sv, KDA>(
                                                 q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2,
                                                 sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp
index 2ec1421841beec4911f596909c5137f861cfef02..c02a41ad862962b542ecbd85410784dca8053f3b 100644
--- a/ggml/src/ggml-sycl/ggml-sycl.cpp
+++ b/ggml/src/ggml-sycl/ggml-sycl.cpp
@@ -411,11 +411,22 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer,
         assert(tensor->view_src->buffer->buft == buffer->buft);
         return GGML_STATUS_SUCCESS;
     }
-    if ((tensor->type == GGML_TYPE_Q4_0 || tensor->type == GGML_TYPE_Q4_K || tensor->type == GGML_TYPE_Q6_K) &&
-        !g_ggml_sycl_disable_optimize) {
-        ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu{};
-        tensor->extra                 = extra;
-        ctx->tensor_extras.push_back(extra);  //used to release it when destroy ctx.
+
+    if (!g_ggml_sycl_disable_optimize) {
+        // set reorder extra buffer based on supported type
+        switch (tensor->type) {
+            case GGML_TYPE_Q4_0:
+            case GGML_TYPE_Q8_0:
+            case GGML_TYPE_Q4_K:
+            case GGML_TYPE_Q6_K:{
+                ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu{};
+                tensor->extra                 = extra;
+                ctx->tensor_extras.push_back(extra);
+                break;
+            }
+            default:
+                break;
+        }
     }
 
     if (ggml_is_quantized(tensor->type)) {
@@ -569,9 +580,15 @@ static void ggml_backend_sycl_buffer_clear(ggml_backend_buffer_t buffer,
     SYCL_CHECK(
         CHECK_TRY_ERROR(dpct::get_current_device().queues_wait_and_throw()));
 
-    SYCL_CHECK(CHECK_TRY_ERROR((*stream)
-                                    .memset(ctx->dev_ptr, value, buffer->size)
-                                    .wait()));
+    constexpr size_t MAX_CHUNK = 2ULL << 30;  // 2 GiB
+    for (size_t off = 0; off < buffer->size; off += MAX_CHUNK) {
+        size_t chunk = std::min(buffer->size - off, MAX_CHUNK);
+        SYCL_CHECK(CHECK_TRY_ERROR(
+            (*stream)
+                .memset(static_cast<char*>(ctx->dev_ptr) + off, value, chunk)
+                .wait()
+        ));
+    }
 }
 catch (sycl::exception const &exc) {
   std::cerr << exc.what() << "Exception caught at file:" << __FILE__
@@ -621,6 +638,8 @@ static const ggml_backend_buffer_i ggml_backend_sycl_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_sycl_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_sycl_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_sycl_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_sycl_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_sycl_buffer_clear,
     /* .reset           = */ ggml_backend_sycl_buffer_reset,
@@ -1067,6 +1086,8 @@ static struct ggml_backend_buffer_i ggml_backend_sycl_split_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_sycl_split_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_sycl_split_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_sycl_split_buffer_clear,
     /* .reset           = */ NULL,
@@ -3248,6 +3269,7 @@ inline bool ggml_sycl_supports_mmq(enum ggml_type type) {
 inline bool ggml_sycl_supports_reorder_mul_mat_sycl(enum ggml_type type) {
     switch (type) {
         case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
             return true;
         case GGML_TYPE_Q4_K:
         case GGML_TYPE_Q6_K:
@@ -3260,6 +3282,7 @@ inline bool ggml_sycl_supports_reorder_mul_mat_sycl(enum ggml_type type) {
 inline bool ggml_sycl_supports_reorder_dmmv(enum ggml_type type) {
     switch (type) {
         case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
             return true;
         default:
             return false;
@@ -3269,6 +3292,7 @@ inline bool ggml_sycl_supports_reorder_dmmv(enum ggml_type type) {
 inline bool ggml_sycl_supports_reorder_mmvq(enum ggml_type type) {
     switch (type) {
         case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q4_K:
         case GGML_TYPE_Q6_K:
             return true;
@@ -3324,9 +3348,55 @@ static inline void sycl_ext_free(dpct::queue_ptr stream, void * ptr) {
     sycl::free(ptr, *stream);
 }
 
-static void reorder_qw_q4_0(uint8_t * data_device, const int ncols, const int nrows, size_t size, size_t offset,
+// RAII wrapper for temporary reorder buffers with optional host memory fallback.
+// When device allocation fails and GGML_SYCL_HOST_MEM_FALLBACK is enabled,
+// falls back to host memory so the reorder kernel can still run (over PCIe).
+// Device access to host memory requires Linux kernel 6.8+ (Ubuntu 26.04+).
+struct sycl_reorder_temp_buffer {
+    void *          ptr  = nullptr;
+    dpct::queue_ptr stream;
+
+    sycl_reorder_temp_buffer(dpct::queue_ptr stream, size_t size) : stream(stream) {
+        ptr = sycl_ext_malloc_device(stream, size);
+#ifdef GGML_SYCL_HOST_MEM_FALLBACK
+        if (!ptr) {
+            ptr = sycl::malloc_host(size, *stream);
+            if (ptr) {
+                host_fallback = true;
+                GGML_LOG_WARN("%s: device alloc of %zu bytes failed, using host memory fallback\n", __func__, size);
+            }
+        }
+#endif
+    }
+
+    ~sycl_reorder_temp_buffer() {
+        if (!ptr) {
+            return;
+        }
+        if (host_fallback) {
+            sycl::free(ptr, *stream);
+        } else {
+            sycl_ext_free(stream, ptr);
+        }
+    }
+
+    explicit operator bool() const { return ptr != nullptr; }
+
+    sycl_reorder_temp_buffer(const sycl_reorder_temp_buffer &)            = delete;
+    sycl_reorder_temp_buffer & operator=(const sycl_reorder_temp_buffer &) = delete;
+
+private:
+    bool host_fallback = false;
+};
+
+static bool reorder_qw_q4_0(uint8_t * data_device, const int ncols, const int nrows, size_t size, size_t offset,
                             dpct::queue_ptr stream) {
-    uint8_t * tmp_buf = static_cast<uint8_t *>(sycl_ext_malloc_device(stream, size));
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
 
     sycl::event copy_event;
     SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
@@ -3355,16 +3425,60 @@ static void reorder_qw_q4_0(uint8_t * data_device, const int ncols, const int nr
     if (!g_ggml_sycl_use_async_mem_op) {
         reorder_event.wait_and_throw();
     }
-    sycl_ext_free(stream, tmp_buf);
+    return true;
+}
+
+static bool reorder_qw_q8_0(uint8_t * data_device, const int ncols, const int nrows, size_t size, size_t offset,
+                            dpct::queue_ptr stream) {
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
+
+    sycl::event copy_event;
+    SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
+    if (!g_ggml_sycl_use_async_mem_op) {
+        copy_event.wait();
+    }
+
+    GGML_ASSERT((size % sizeof(block_q8_0) == 0));
+    GGML_ASSERT((offset % sizeof(block_q8_0) == 0));
+    int offset_blks = offset / sizeof(block_q8_0);
+    auto qs_ptr = data_device + offset_blks * QK8_0;
+    auto d_ptr = (sycl::half*)(qs_ptr + ncols * nrows) + offset_blks;
+
+    auto reorder_event = stream->parallel_for(
+        size / sizeof(block_q8_0),
+            [=](auto i) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+            const block_q8_0* x = (const block_q8_0*)tmp_buf;
+            const int ib = i;
+
+            for (int j = 0; j < QK8_0; j++)
+            {
+                *((int8_t*)qs_ptr + ib * QK8_0 + j) = x[ib].qs[j];
+            }
+            *(d_ptr + ib) = x[ib].d;
+        });
+    if (!g_ggml_sycl_use_async_mem_op) {
+        reorder_event.wait_and_throw();
+    }
+    return true;
 }
 
-static void reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
+static bool reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
     GGML_ASSERT(size % sizeof(block_q4_K) == 0);
     GGML_ASSERT(offset % sizeof(block_q4_K) == 0);
 
     const int nblocks = size / sizeof(block_q4_K);
 
-    uint8_t * tmp_buf = static_cast<uint8_t *>(sycl_ext_malloc_device(stream, size));
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
 
     sycl::event copy_event;
     SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
@@ -3393,16 +3507,21 @@ static void reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, d
     if (!g_ggml_sycl_use_async_mem_op) {
         reorder_event.wait_and_throw();
     }
-    sycl_ext_free(stream, tmp_buf);
+    return true;
 }
 
-static void reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
+static bool reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
     GGML_ASSERT(size % sizeof(block_q6_K) == 0);
     GGML_ASSERT(offset % sizeof(block_q6_K) == 0);
 
     const int nblocks = size / sizeof(block_q6_K);
 
-    uint8_t * tmp_buf = static_cast<uint8_t *>(sycl_ext_malloc_device(stream, size));
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
 
     sycl::event copy_event;
     SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
@@ -3441,10 +3560,10 @@ static void reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, d
     if (!g_ggml_sycl_use_async_mem_op) {
         reorder_event.wait_and_throw();
     }
-    sycl_ext_free(stream, tmp_buf);
+    return true;
 }
 
-static void reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) {
+static bool reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) {
     uint8_t * data_device = (uint8_t *) src0->data;
     size_t ncols = src0->ne[0];
     size_t nrows = src0->ne[1];
@@ -3452,17 +3571,16 @@ static void reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) {
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
-            reorder_qw_q4_0(data_device, ncols, nrows, size, 0, stream);
-            break;
+            return reorder_qw_q4_0(data_device, ncols, nrows, size, 0, stream);
+        case GGML_TYPE_Q8_0:
+            return reorder_qw_q8_0(data_device, ncols, nrows, size, 0, stream);
         case GGML_TYPE_Q4_K:
-            reorder_qw_q4_k(data_device, size, 0, stream);
-            break;
+            return reorder_qw_q4_k(data_device, size, 0, stream);
         case GGML_TYPE_Q6_K:
-            reorder_qw_q6_k(data_device, size, 0, stream);
-            break;
+            return reorder_qw_q6_k(data_device, size, 0, stream);
         default:
             GGML_ABORT("reorder_qw() called with unsupported type");
-            break;
+            return false;
     }
 }
 
@@ -3502,8 +3620,9 @@ static void opt_for_reorder(ggml_backend_sycl_context * ctx, const ggml_tensor *
             break;
     }
 
-    reorder_qw(src0, ctx->stream());
-    extra->optimized_feature.reorder = true;  // Used to decode/dequan in next steps and avoid re-reordering
+    if (reorder_qw(src0, ctx->stream())) {
+        extra->optimized_feature.reorder = true;  // Used to decode/dequan in next steps and avoid re-reordering
+    }
 }
 
 
@@ -4496,6 +4615,8 @@ static ggml_backend_i ggml_backend_sycl_interface = {
     /* .free                    = */ ggml_backend_sycl_free,
     /* .set_tensor_async        = */ ggml_backend_sycl_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_sycl_get_tensor_async,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL, // ggml_backend_sycl_cpy_tensor_async,
                                            // // TODO: update for the new
                                            // interface
@@ -4664,26 +4785,19 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
                 struct ggml_tensor * a = op->src[0];
                 struct ggml_tensor * b = op->src[1];
 
-                if (a->ne[3] != b->ne[3]) {
+                // disable Q1_0 until implementation
+                if (a->type == GGML_TYPE_Q1_0 || b->type == GGML_TYPE_Q1_0) {
                     return false;
                 }
-                ggml_type a_type = a->type;
-                if (a_type == GGML_TYPE_IQ4_NL  || a_type == GGML_TYPE_IQ4_XS ||
-                    a_type == GGML_TYPE_IQ3_XXS || a_type == GGML_TYPE_IQ3_S  ||
-                    a_type == GGML_TYPE_IQ2_XXS || a_type == GGML_TYPE_IQ2_XS || a_type == GGML_TYPE_IQ2_S ||
-                    a_type == GGML_TYPE_IQ1_S || a_type == GGML_TYPE_IQ1_M
-                    ) {
-                    if (b->ne[1] == 1 && ggml_nrows(b) > 1) {
-                        return false;
-                    }
-                }
-                ggml_type src0_type = op->src[0]->type;
-                if (src0_type == GGML_TYPE_BF16 ) {
-                    // TODO: support GGML_TYPE_BF16
-                    // FIXME: keep a list of supported types to avoid breaking the backend when a new type is added
+
+                if (a->ne[3] != b->ne[3]) {
                     return false;
                 }
 
+                ggml_type src0_type = op->src[0]->type;
+
+
+
                 // TODO: The configuration below needs more work to be supported with oneDNN
                 if (ggml_is_permuted(a) && !ggml_is_contiguous(a) &&
                     a->ne[2] > 1 && a->ne[3] > 1 && src0_type == GGML_TYPE_F16) {
diff --git a/ggml/src/ggml-sycl/mmvq.cpp b/ggml/src/ggml-sycl/mmvq.cpp
index 316aa0d0fb58af9fc31394db1a300c39114d42fd..3a4577ecbbc560b3a70242c86221b7c94759a323 100644
--- a/ggml/src/ggml-sycl/mmvq.cpp
+++ b/ggml/src/ggml-sycl/mmvq.cpp
@@ -537,9 +537,9 @@ static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx,
 static void reorder_mul_mat_vec_q4_0_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
                                                     const int nrows, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % QK4_0 == 0);
-    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y);
-    constexpr size_t num_subgroups = 16;
-    GGML_ASSERT(block_num_y % num_subgroups == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
 
     const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, (block_num_y * WARP_SIZE));
     const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
@@ -613,6 +613,23 @@ static void mul_mat_vec_mxfp4_q8_1_sycl(const void * vx, const void * vy, float
     }
 }
 
+static void mul_mat_vec_nvfp4_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols, const int nrows,
+                                        dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_NVFP4 == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+
+    {
+        stream->submit([&](sycl::handler & cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                             [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                 mul_mat_vec_q<QK_NVFP4, QI_NVFP4, block_nvfp4, VDR_NVFP4_Q8_1_MMVQ, vec_dot_nvfp4_q8_1>(
+                                     vx, vy, dst, ncols, nrows, item_ct1);
+                             });
+        });
+    }
+}
 
 static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
@@ -662,6 +679,25 @@ static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy,
     }
 }
 
+static void reorder_mul_mat_vec_q8_0_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
+                                                    const int nrows, dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK8_0 == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
+
+    const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, (block_num_y * WARP_SIZE));
+    const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
+
+    stream->submit([&](sycl::handler & cgh) {
+        cgh.parallel_for(sycl::nd_range<3>(global_size, workgroup_size),
+                         [=](sycl::nd_item<3> nd_item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                             mul_mat_vec_q_reorder<reorder_vec_dot_q_sycl<GGML_TYPE_Q8_0>>(vx, vy, dst, ncols, nrows,
+                                                                                           nd_item);
+                         });
+    });
+}
+
 static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
@@ -762,9 +798,9 @@ static void reorder_mul_mat_vec_q4_k_q8_1_sycl(const void * vx, const void * vy,
     const int nrows, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
 
-    const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
-    constexpr size_t num_subgroups = 16;
-    GGML_ASSERT(block_num_y % num_subgroups == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
 
     const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
     const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
@@ -806,9 +842,9 @@ static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy,
 static void reorder_mul_mat_vec_q6_k_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
                                                const int nrows, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
-    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y);
-    constexpr size_t num_subgroups = 16;
-    GGML_ASSERT(block_num_y % num_subgroups == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
 
     const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
     const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
@@ -1084,7 +1120,13 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens
                 mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
                 break;
             case GGML_TYPE_Q8_0:
-                mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
+                    ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                    GGML_SYCL_DEBUG("Calling reorder_mul_mat_vec_q8_0_q8_1_sycl\n");
+                    reorder_mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                } else {
+                    mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                }
                 break;
             case GGML_TYPE_Q2_K:
                 mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
@@ -1145,8 +1187,11 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens
             case GGML_TYPE_MXFP4:
                 mul_mat_vec_mxfp4_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
                 break;
+            case GGML_TYPE_NVFP4:
+                mul_mat_vec_nvfp4_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                break;
             default:
-                GGML_ABORT("fatal error");
+                GGML_ABORT("fatal error: unsupport data type=%s\n", ggml_type_name(src0->type));
         }
     }
     GGML_UNUSED(src1);
diff --git a/ggml/src/ggml-sycl/quants.hpp b/ggml/src/ggml-sycl/quants.hpp
index 14490fea5be546ce675d499c30e8f91ec50f04dd..1f5b62740a8e2558750f666f931a297ccda4aba3 100644
--- a/ggml/src/ggml-sycl/quants.hpp
+++ b/ggml/src/ggml-sycl/quants.hpp
@@ -105,6 +105,27 @@ template <> struct block_q_t<GGML_TYPE_Q6_K> {
     static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; }
 };
 
+template <> struct block_q_t<GGML_TYPE_Q8_0> {
+    struct traits {
+        static constexpr uint32_t qk       = QK8_0;      // 32
+        static constexpr uint32_t qi       = QI8_0;      // 8
+        static constexpr uint32_t qr       = QR8_0;      // 1
+        static constexpr uint32_t vdr_mmvq = 4;
+    };
+
+    // Q8_0 reorder layout: [qs0|qs1|...|qsN][d0|d1|...|dN]
+    // Each block has 32 int8 weights (32 bytes) followed by all scales
+    static constexpr std::pair<int, int> get_block_offset(const int block_index, const int /* nblocks */) {
+        return { block_index * QK8_0, 0 };
+    }
+
+    static constexpr std::pair<int, int> get_d_offset(int nrows, int ncols, const int block_index) {
+        return { (ncols * nrows) + block_index * sizeof(ggml_half), 0 };
+    }
+
+    static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; }  // 1
+};
+
 }  // namespace ggml_sycl_reordered
 
 #endif  // GGML_SYCL_QUANTS_HPP
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq512-dv512.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq512-dv512.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..9a6a18775666a3e100f358438d02973dab4c4392
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq512-dv512.cpp
@@ -0,0 +1,6 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(512, 512);
+
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
index 32cf4f2859ba7a5aa530fb762e460d9fb129286b..43ef94c118cda1b0ab693649de4d0f9a10d61922 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
index a61a19021bbd7e89eec94e722cc9fae29cbd9c79..9404061d456d7040fafea2f2fe335766d2928890 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
index 63b74fb347a4cd6f7c5c210bcd277c13f6275f58..a8bb9f52d0c880b5dd8d9c531d7807e83df86faf 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
index 46e2d9853c53c89689a44149a044b66b7b57e9d9..7d61f6ab0afedbeb5d3c8b2250a631a21f747476 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
index 7aabb6ff6e4f35a225a2634a442118c4d76a4f44..753bae09f838255dc2bd110cd18cc6934caa2968 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
index 148ea217f6231673b3c81859f1498f132210ce85..546a93b257070039a736e061aff37a6c3e3759a4 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
index 4b169dbcdbc021bb3e35299c9c311b7fbe0024fd..53c8c2f2654bc1e08d91ee8801995960b348e452 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
index 79f530b1815945f047f34b4f0f9fc8249d771fcc..5b409c55f217d480ddd92f3aac6a0e772727dbce 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
index 2f7db51ce826e802e77524c14c094eac33e08fa0..8c4ef588d634c9e5327c5ce3142dd307cff7d837 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
index 9e3bf0b14a1063c781adb85938ea342d5a424c7e..83f0a07552e54638986a5a2588be2df0744142d5 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
index 18081879cecca3b0de4e9fb257d4744625c3d2ca..9df9b03bba43784cd242409289d6bd16345804fa 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
index 1c387b0d87c4747bf307738aa70e41451e0cc663..6980c2a65bb0d16fc6c1931844d92caace58917a 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
index f005b3762ccc1ea59360c3580490ad163f7d53b4..bd61bc1dc2b2c00a1dff5969a9bcc183c23a767f 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
index 3553b1cdd163e55bf5afa1f261862fc5eb5ef36d..492e229a58e804e08c320768266e293d27dd36c0 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
index 687ec5671152aa453662973bf990733215b9c5e0..30f88a2ebd5ff0a136a082c5a60a3607e28c25f3 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
index 2663bfe7466c1d0878f3c98b465f15fa765e1678..db76663604ed7538897208523db134cba6cea189 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
index 641b7c7ae2a94686549ec9acd4e2ecc3037fde41..1dbcc8a85a8fb2b2813d7770582a15b7ef0b47a2 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
index 3d3181d47191137961c49c06d25807085f45dcdb..d30996a62598d27982731dab78420fd263714167 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
index 85d5026ad4f9ac9f0de5b74794c297ab8899060a..bc0f635d922d4bf87d2a286bf9cf2795ac82df0b 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
index 1e81401a2c90330f72e2febd695ee6284b4edf5f..9e0378107cb13c6ca56224e71655b2b978e12e84 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
index 54251473f97adac5b1f5f0adb9c6f75708f1668c..a8535ac9156d6f127afc1c6d224ed2824ed7220e 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
index d418c1fb21eda237177060ebd887b5781a82613f..43d4fae9a619e926cb53963ee37ebd254c6daac7 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
index 0f26cfabd090a6156f2054eda9839b10707ecc46..23335a41640b2da565ed23aa4f26bd1f570cb49b 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
index 4fb98723519ada6c0358ab9de07b21d8816a72a2..52550a33757bfe00ccab91166d1de474f201b473 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
index 85b79cd19761d8eb61199dc0479b0516a0e37c88..4651f14c05050026d57bdc5e2e10c3135679c8f3 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
index 7348323b28bb62101bb20844870da0dc0be01af1..2310fd8792c353d0810bad67a7835a9455f3585a 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
index f19af2aa0bac517ba0aec787fa0738fd7a0bf650..d2494048bc1491028e38fdd3880169ca5e3c45ac 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
index d7075bac600fe360d3078ba74f1e033ef65ce3fa..be3a1fe97f54b5cb7fb0ac7e0f80872b11b5d8d9 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
index 627f9a577555c320264b99793df5a95bdf234d13..be0a89409cafc8bf0ec8ed5f1aedf0a11c742912 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
index 23304eecd355a87a4bb8b9ced023f019501f7120..6781efcb0d22c52d59b837e5ef338489ca767267 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
index 95acb5d4fbf0399a7fa98943cf0cad5c4d961aa1..43a70ae3543f87a7673e75fc54ac775399a65c9c 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
index 5e88f4bab8a9a35ce8f1467cd40845ee8a91f778..fa7eb8163cac0717e30ce18303f910618512dcd1 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
index 69f297feb0c9b48cc53df8594a9ed0a2cfe967a6..79d9cfbee96584160c219f586bb51b5699e754fc 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
index 455842a9421281a772fa4d33bb252942c977dc2a..86befd5d3273b46f5e70c47324ad86d3dabadd2a 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
index f7ef73915712671c2d356224a1a02477a0621e84..c2f619b0b166e43d6e69bbcba6ea1d27610c6318 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
index 1c633bdf2fa98244f1f0eacd69deb926fd795303..7cf31f8b8a135ffc664938b65b46123db31109f6 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/type.hpp b/ggml/src/ggml-sycl/type.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..d7ff89d7d42d54234e695ccb24d1ad61e7f39fe8
--- /dev/null
+++ b/ggml/src/ggml-sycl/type.hpp
@@ -0,0 +1,112 @@
+#pragma once
+
+#include <sycl/sycl.hpp>
+#include <cstdint>
+#include <limits>
+
+inline uint8_t float_to_e4m3(float f)
+{
+    if (sycl::isnan(f)) {
+        return 0x7F;                    // Canonical NaN (positive)
+    }
+
+    uint32_t bits = sycl::bit_cast<uint32_t>(f);
+    uint32_t sign = (bits >> 31) & 0x1u;
+    uint32_t exp  = (bits >> 23) & 0xFFu;
+    uint32_t mant = bits & 0x7FFFFFu;
+
+    // Zero
+    if (exp == 0 && mant == 0) {
+        return static_cast<uint8_t>(sign << 7);
+    }
+
+    // Extract biased exponent and mantissa for FP8
+    int e = static_cast<int>(exp) - 127;           // true exponent (IEEE bias 127)
+    uint32_t m = mant;
+
+    // Handle very large values → NaN (NVIDIA behavior for E4M3)
+    if (e > 7) {                                   // max exponent for E4M3 is 7 (biased 14)
+        return static_cast<uint8_t>((sign << 7) | 0x7F);
+    }
+
+    // Handle subnormals and normal numbers
+    if (e < -6) {                                  // smallest normal exponent is -6
+        // Subnormal in FP8: shift mantissa right
+        int shift = -6 - e;
+        m = (m | 0x800000u) >> (shift + 1);        // +1 because we lose the implicit 1 position
+        if (shift > 23) m = 0;
+    } else {
+        // Normal number: adjust exponent bias from 127 to 7
+        int new_exp = e + 7;
+        m = (m >> 20) & 0x7u;                      // take top 3 mantissa bits (after implicit 1)
+        m |= (static_cast<uint32_t>(new_exp) << 3);
+    }
+
+    // Round-to-nearest-even (simple guard + round bit)
+    // For better accuracy you can add sticky bit, but this is sufficient for most use cases
+    uint32_t round_bit = (mant >> 19) & 0x1u;      // bit after the 3 mantissa bits
+    if (round_bit) {
+        m += 1;
+        // Carry into exponent if mantissa overflows
+        if ((m & 0x8u) != 0) {
+            m = (m & 0x7u) | ((m & 0x38u) << 1);   // simple carry handling
+            // If exponent overflows after carry → NaN
+            if ((m >> 3) > 14) {
+                return static_cast<uint8_t>((sign << 7) | 0x7F);
+            }
+        }
+    }
+
+    uint8_t result = static_cast<uint8_t>((sign << 7) | (m & 0x7F));
+    return result;
+}
+
+inline float e4m3_to_float(uint8_t x)
+{
+    if (x == 0) return 0.0f;
+
+    uint8_t sign = (x >> 7) & 0x1u;
+    uint8_t exp  = (x >> 3) & 0xFu;
+    uint8_t mant = x & 0x7u;
+
+    // NaN (NVIDIA uses 0x7F / 0xFF as NaN)
+    if (exp == 0xF && mant != 0) {
+        return std::numeric_limits<float>::quiet_NaN();
+    }
+    if (exp == 0xF) {                     // 0x7F or 0xFF treated as NaN
+        return std::numeric_limits<float>::quiet_NaN();
+    }
+
+    float val;
+
+    if (exp == 0) {
+        // Subnormal
+        val = mant * (1.0f / 8.0f) * sycl::pow(2.0f, -6.0f);
+    } else {
+        // Normal: implicit leading 1 + bias 7
+        val = (1.0f + mant / 8.0f) * sycl::pow(2.0f, static_cast<float>(exp) - 7.0f);
+    }
+
+    return sign ? -val : val;
+}
+
+// The actual type definition
+struct __nv_fp8_e4m3 {
+    uint8_t raw;
+
+    __nv_fp8_e4m3() = default;
+
+    explicit __nv_fp8_e4m3(float f) : raw(float_to_e4m3(f)) {}
+    explicit __nv_fp8_e4m3(sycl::half h) : raw(float_to_e4m3(static_cast<float>(h))) {}
+
+    operator float() const { return e4m3_to_float(raw); }
+    operator sycl::half() const { return static_cast<sycl::half>(static_cast<float>(*this)); }
+
+    // Allow direct access for vector loads/stores
+    operator uint8_t&() { return raw; }
+    operator uint8_t() const { return raw; }
+};
+
+using __nv_fp8x2_e4m3 = sycl::vec<__nv_fp8_e4m3, 2>;
+using __nv_fp8x4_e4m3 = sycl::vec<__nv_fp8_e4m3, 4>;
+
diff --git a/ggml/src/ggml-sycl/upscale.cpp b/ggml/src/ggml-sycl/upscale.cpp
index 18c743de447ab4f5e97d91da18eb1a9ed9c5a795..e42cb419d838149930436acf609dd1e39f9b0837 100644
--- a/ggml/src/ggml-sycl/upscale.cpp
+++ b/ggml/src/ggml-sycl/upscale.cpp
@@ -272,7 +272,7 @@ static void upscale_f32_sycl(const float *   x,
         sycl::nd_range<3>(
             sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
              sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-        [=](sycl::nd_item<3> item_ct1) {
+        [=](sycl::nd_item<3> /*item_ct1*/) {
             upscale_f32(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3);
         });
 }
@@ -304,7 +304,7 @@ static void upscale_f32_bilinear_sycl(const float *   x,
             sycl::nd_range<3>(
                 sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
                 sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-            [=](sycl::nd_item<3> item_ct1) {
+            [=](sycl::nd_item<3> /*item_ct1*/) {
                 upscale_f32_bilinear_antialias(
                     x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst,
                     ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
@@ -314,7 +314,7 @@ static void upscale_f32_bilinear_sycl(const float *   x,
             sycl::nd_range<3>(
                 sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
                 sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-            [=](sycl::nd_item<3> item_ct1) {
+            [=](sycl::nd_item<3> /*item_ct1*/) {
                 upscale_f32_bilinear(
                     x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst,
                     ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
@@ -349,7 +349,7 @@ static void upscale_f32_bicubic_sycl(const float *   x,
                 sycl::nd_range<3>(
                     sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
                     sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-                [=](sycl::nd_item<3> item_ct1) {
+                [=](sycl::nd_item<3> /*item_ct1*/) {
                     upscale_f32_bicubic(
                         x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst,
                         ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
diff --git a/ggml/src/ggml-sycl/vecdotq.hpp b/ggml/src/ggml-sycl/vecdotq.hpp
index 9a267d85a0cc917d818e5222c401be3b0a955481..9253168e5ea26902d12c62e7f2bb5126afe0a1db 100644
--- a/ggml/src/ggml-sycl/vecdotq.hpp
+++ b/ggml/src/ggml-sycl/vecdotq.hpp
@@ -15,6 +15,7 @@
 
 #include "dpct/helper.hpp"
 #include "ggml.h"
+#include "type.hpp"
 #include "quants.hpp"
 
 typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1,
@@ -31,6 +32,18 @@ static __dpct_inline__ int get_int_b1(const void * x, const int & i32) {
     return x32;
 }
 
+static __dpct_inline__ int get_int_b2(const void * x, const int & i32) {
+    const uint16_t * x16 = (const uint16_t *) x; // assume at least 2 byte alignment
+
+    int x32  = x16[2*i32 + 0] <<  0;
+    x32     |= x16[2*i32 + 1] << 16;
+
+    return x32;
+}
+
+static __dpct_inline__ int get_int_b4(const void * x, const int & i32) {
+    return ((const int *) x)[i32]; // assume at least 4 byte alignment
+}
 
 static __dpct_inline__ int get_int_from_int8(const int8_t* x8, const int& i32) {
   const uint16_t* x16 =
@@ -338,6 +351,46 @@ template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q4_0> {
     };
 };
 
+template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q8_0> {
+    static constexpr ggml_type gtype = GGML_TYPE_Q8_0;
+
+    using q8_0_block  = ggml_sycl_reordered::block_q_t<GGML_TYPE_Q8_0>;
+    using q8_0_traits = typename q8_0_block::traits;
+
+    __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int * v, const int * u, const float & d8_0, const sycl::half2 & ds8) {
+        int sumi = 0;
+
+#pragma unroll
+        for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) {
+            // Q8_0 values are signed int8, no nibble extraction needed
+            // Direct dp4a: each int packs 4 int8 values
+            sumi = dpct::dp4a(v[i], u[i], sumi);
+        }
+
+        const sycl::float2 ds8f = ds8.convert<float, sycl::rounding_mode::automatic>();
+
+        // Q8_0 has no bias term (values are signed), so just scale
+        return d8_0 * sumi * ds8f.x();
+    }
+
+    __dpct_inline__ float operator()(const void * __restrict__ vbq, const std::pair<int, int> ibx_offset,
+                                     const std::pair<int, int> d_offset, const int8_t * q8_1_quant_ptr,
+                                     const sycl::half2 * q8_1_ds, const int & iqs) {
+        const int8_t * bq8_0 = static_cast<const int8_t *>(vbq) + ibx_offset.first;
+        const ggml_half d = *(reinterpret_cast<const ggml_half *>(static_cast<const uint8_t *>(vbq) + d_offset.first));
+        int             v[q8_0_traits::vdr_mmvq];
+        int             u[q8_0_traits::vdr_mmvq];
+
+#pragma unroll
+        for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) {
+            v[i] = get_int_from_int8(bq8_0, iqs + i);
+            u[i] = get_int_from_int8_aligned(q8_1_quant_ptr, iqs + i);
+        }
+
+        return vec_dot_q8_0_q8_1_impl(v, u, d, *q8_1_ds);
+    };
+};
+
 static inline float vec_dot_q4_K_q8_1_common(const int * __restrict__ q4, const uint16_t * __restrict__ scales,
                                              const ggml_half2 & dm, const block_q8_1 * __restrict__ bq8_1,
                                              const int &        iqs) {
@@ -755,6 +808,35 @@ static __dpct_inline__ float vec_dot_mxfp4_q8_1(const void * __restrict__ vbq,
     return d * sumi;
 }
 
+#define VDR_NVFP4_Q8_1_MMVQ 4
+#define VDR_NVFP4_Q8_1_MMQ  8
+
+static __dpct_inline__ float vec_dot_nvfp4_q8_1(const void * __restrict__ vbq,
+                                                const block_q8_1 * __restrict__ bq8_1,
+                                                const int32_t & iqs) {
+    const block_nvfp4 * bq4 = (const block_nvfp4 *) vbq;
+    float sum = 0.0f;
+#pragma unroll
+    for (int i = 0; i < VDR_NVFP4_Q8_1_MMVQ/2; i++) {
+        const int32_t iqs0 = iqs + 2*i;
+        const int32_t iqs1 = iqs0 + 1;
+        const int32_t is = iqs0 >> 1;
+        const sycl::int2   v0   = get_int_from_table_16(get_int_b4(bq4->qs, iqs0), kvalues_mxfp4);
+        const sycl::int2   v1   = get_int_from_table_16(get_int_b4(bq4->qs, iqs1), kvalues_mxfp4);
+        const block_q8_1 * bq8 = bq8_1 + (is >> 1);
+        const int32_t i8 = ((is & 1) << 2);
+
+        int sumi = ggml_sycl_dp4a(v0.x(), get_int_b4(bq8->qs, i8 + 0), 0);
+        sumi     = ggml_sycl_dp4a(v0.y(), get_int_b4(bq8->qs, i8 + 2), sumi);
+        sumi     = ggml_sycl_dp4a(v1.x(), get_int_b4(bq8->qs, i8 + 1), sumi);
+        sumi     = ggml_sycl_dp4a(v1.y(), get_int_b4(bq8->qs, i8 + 3), sumi);
+
+        const float d = ggml_sycl_ue4m3_to_fp32(bq4->d[is]) * (bq8->ds)[0];
+        sum += d * float(sumi);
+    }
+
+    return sum;
+}
 
 static __dpct_inline__ float
 vec_dot_q5_0_q8_1(const void *__restrict__ vbq,
diff --git a/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp b/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
index 6b95362dd80050fb810e2f8618e380440f1a5900..b6c561cd61ee40921661bb9e9154eac361f61019 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
@@ -101,6 +101,8 @@ const ggml_backend_buffer_i ggml_backend_remoting_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_remoting_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_remoting_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_remoting_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_remoting_buffer_clear,
     /* .reset           = */ NULL,
@@ -113,6 +115,8 @@ const ggml_backend_buffer_i ggml_backend_remoting_buffer_from_ptr_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_remoting_buffer_set_tensor_from_ptr,
     /* .get_tensor      = */ ggml_backend_remoting_buffer_get_tensor_from_ptr,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_remoting_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_remoting_buffer_clear,
     /* .reset           = */ NULL,
diff --git a/ggml/src/ggml-virtgpu/ggml-backend.cpp b/ggml/src/ggml-virtgpu/ggml-backend.cpp
index a63ee2b9d2fa445043ca059a7f99a93cbd746ae3..2b978556228c09b9d15710410311bdfa1bc07775 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend.cpp
@@ -34,6 +34,8 @@ static ggml_backend_i ggml_backend_remoting_interface = {
     /* .free                    = */ ggml_backend_remoting_free,
     /* .set_tensor_async        = */ NULL,  // ggml_backend_remoting_set_tensor_async,
     /* .get_tensor_async        = */ NULL,  // ggml_backend_remoting_get_tensor_async,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,  // ggml_backend_remoting_cpy_tensor_async,
     /* .synchronize             = */ NULL,  // ggml_backend_remoting_synchronize,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
index 3e36435d1664adaf584cf52489bfcc0db1afd6b1..d4acee8b1dfb733ca9c34b4bb9633d6dc8e65f2b 100644
--- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp
+++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
@@ -20,6 +20,13 @@ DispatchLoaderDynamic & ggml_vk_default_dispatcher();
 #define VULKAN_HPP_DEFAULT_DISPATCHER ggml_vk_default_dispatcher()
 
 #include <vulkan/vulkan.hpp>
+// SPIRV-Headers: LunarG Windows SDK uses Include/spirv-headers/spirv.hpp (not spirv/unified1/). MinGW/MSYS2 and
+// Linux packages use Khronos layout spirv/unified1/spirv.hpp. See docs/build.md#vulkan.
+#if defined(_WIN32) && !defined(__MINGW32__)
+#include <spirv-headers/spirv.hpp>
+#else
+#include <spirv/unified1/spirv.hpp>
+#endif
 
 #include <algorithm>
 #include <cmath>
@@ -785,6 +792,7 @@ struct vk_device_struct {
     vk_pipeline pipeline_arange_f32;
 
     vk_pipeline pipeline_fill_f32;
+    vk_pipeline pipeline_fill_f16;
 
     vk_pipeline pipeline_geglu[2];
     vk_pipeline pipeline_reglu[2];
@@ -1112,6 +1120,16 @@ struct vk_op_glu_push_constants {
     uint32_t mode;  // 0: default, 1: swapped, 2: split
     float alpha; // for swiglu_oai
     float limit;
+    uint32_t nb01;
+    uint32_t nb02;
+    uint32_t nb03;
+    uint32_t ne01;
+    uint32_t ne02;
+    uint32_t nb11;
+    uint32_t nb12;
+    uint32_t nb13;
+    uint32_t ne11;
+    uint32_t ne12;
 };
 
 struct vk_op_unary_push_constants {
@@ -1377,7 +1395,7 @@ struct vk_op_im2col_push_constants {
     uint32_t IW; uint32_t IH;
     uint32_t OW; uint32_t OH;
     uint32_t KW; uint32_t KH;
-    uint32_t pelements;
+    uint32_t OH_batch;
     uint32_t CHW;
     int32_t s0; int32_t s1;
     int32_t p0; int32_t p1;
@@ -2121,6 +2139,66 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin
     GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT
 
     vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, reinterpret_cast<const uint32_t *>(spv_data));
+
+    // Patch SPIR-V to enable RTE rounding for FP16, avoiding the need for
+    // separate shader variants compiled with -DRTE16.
+    std::vector<uint32_t> spv;
+    if (device->float_controls_rte_fp16) {
+        const uint32_t* spv_words = reinterpret_cast<const uint32_t *>(spv_data);
+        size_t word_count = spv_size / sizeof(uint32_t);
+        spv.assign(spv_words, spv_words + word_count);
+
+        // Find insertion points respecting SPIR-V layout order:
+        //   Header(5) -> OpCapability -> OpExtension -> ... -> OpEntryPoint -> OpExecutionMode -> ...
+        size_t pos = 5; // skip header
+        size_t cap_insert_pos = pos;
+        size_t ext_insert_pos = pos;
+        size_t exec_insert_pos = pos;
+        uint32_t entry_point_id = 0;
+
+        while (pos < spv.size()) {
+            uint32_t opcode = spv[pos] & spv::OpCodeMask;
+            uint32_t len    = spv[pos] >> spv::WordCountShift;
+            if (len == 0) break;
+
+            if (opcode == spv::OpCapability) {
+                cap_insert_pos = pos + len;
+                ext_insert_pos = pos + len;
+            } else if (opcode == spv::OpExtension) {
+                ext_insert_pos = pos + len;
+            } else if (opcode == spv::OpEntryPoint) {
+                entry_point_id = spv[pos + 2];
+                exec_insert_pos = pos + len;
+            } else if (opcode == spv::OpExecutionMode || opcode == spv::OpExecutionModeId) {
+                exec_insert_pos = pos + len;
+            } else if (entry_point_id != 0) {
+                break;
+            }
+
+            pos += len;
+        }
+
+        // Insert from latest position first so earlier indices stay valid.
+
+        // OpExecutionMode %entrypoint RoundingModeRTE 16
+        uint32_t exec_mode[] = { (4u << spv::WordCountShift) | spv::OpExecutionMode, entry_point_id, spv::ExecutionModeRoundingModeRTE, 16 };
+        spv.insert(spv.begin() + exec_insert_pos, std::begin(exec_mode), std::end(exec_mode));
+
+        // OpExtension "SPV_KHR_float_controls"
+        const char ext_str[] = "SPV_KHR_float_controls";
+        size_t ext_str_words = CEIL_DIV(sizeof(ext_str), sizeof(uint32_t));
+        std::vector<uint32_t> extension(1 + ext_str_words, 0);
+        extension[0] = (uint32_t)((1 + ext_str_words) << spv::WordCountShift) | spv::OpExtension;
+        memcpy(&extension[1], ext_str, sizeof(ext_str));
+        spv.insert(spv.begin() + ext_insert_pos, extension.begin(), extension.end());
+
+        // OpCapability RoundingModeRTE
+        uint32_t capability[] = { (2u << spv::WordCountShift) | spv::OpCapability, spv::CapabilityRoundingModeRTE };
+        spv.insert(spv.begin() + cap_insert_pos, std::begin(capability), std::end(capability));
+
+        shader_module_create_info = vk::ShaderModuleCreateInfo({}, spv.size() * sizeof(uint32_t), spv.data());
+    }
+
     pipeline->shader_module = device->device.createShaderModule(shader_module_create_info);
 
     vk::PushConstantRange pcr(
@@ -2848,11 +2926,10 @@ struct vk_fa_tuning_params {
     }
 };
 
-static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc);
+static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type);
 static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc);
 
 static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
-    GGML_UNUSED(kv_type);
 
     vk_fa_tuning_params result{};
     result.path = FA_SCALAR;
@@ -2904,7 +2981,7 @@ static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device,
 
     result.shmem_staging = (device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256 && hsv < 256) ? 1 : 0;
 
-    if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc)) {
+    if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc, kv_type)) {
         result.block_rows /= 2;
     }
 
@@ -3070,6 +3147,10 @@ static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vec
     case GGML_TYPE_MXFP4:
         lut_size = 4*16;
         break;
+    case GGML_TYPE_NVFP4:
+        // Same kvalues budget as MXFP4 plus ue4m3_fp32_lut[128] (types.glsl, DATA_A_NVFP4).
+        lut_size = 4*16 + 128u * (uint32_t)sizeof(float);
+        break;
     default:
         break;
     }
@@ -3435,13 +3516,47 @@ static void ggml_vk_load_shaders(vk_device& device) {
     if (device->fp16) {
         CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, )
         CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, )
-        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, )
-        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, )
+
+#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
+        if (device->integer_dot_product && device->subgroup_clustered) {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _int8)
+        } else
+#endif
+        {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, )
+        }
     } else {
         CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, _fp32)
         CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, _fp32)
-        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, _fp32)
-        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, _fp32)
+
+#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
+        if (device->integer_dot_product && device->subgroup_clustered) {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _fp32_int8)
+        } else
+#endif
+        {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _fp32)
+        }
     }
 #if defined(VK_KHR_cooperative_matrix) && defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT)
     if (device->coopmat1_fa_support) {
@@ -3449,6 +3564,10 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_FA(GGML_TYPE_F16, f16, FA_COOPMAT1, _cm1)
         CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_COOPMAT1, _cm1)
         CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_COOPMAT1, _cm1)
     }
 #endif
 #if defined(VK_NV_cooperative_matrix2) && defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
@@ -3490,6 +3609,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3)
         }
 #endif
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q1_0], matmul_q1_0_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q4_0], matmul_q4_0_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q4_1], matmul_q4_1_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q5_0], matmul_q5_0_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
@@ -3510,6 +3630,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_XS],  matmul_iq4_xs_f16,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_NL],  matmul_iq4_nl_f16,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_MXFP4],   matmul_mxfp4_f16,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_NVFP4],   matmul_nvfp4_f16,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
 
         GGML_ASSERT(device->subgroup_ballot);
 
@@ -3519,6 +3640,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(pipeline_matmul_id_bf16, matmul_id_subgroup_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, 5)
         }
 #endif
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_subgroup_q1_0_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_subgroup_q4_0_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_subgroup_q4_1_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_subgroup_q5_0_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
@@ -3539,6 +3661,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_subgroup_iq4_xs_f16,  mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_subgroup_iq4_nl_f16,  mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_subgroup_mxfp4_f16,   mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_subgroup_nvfp4_f16,   mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
 #undef CREATE_MM
 #undef CREATE_MM2
     } else
@@ -3580,6 +3703,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 #endif
 
         if (device->coopmat_acc_f16_support) {
+            CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0], matmul_q1_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0], matmul_q4_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1], matmul_q4_1_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0], matmul_q5_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
@@ -3601,7 +3725,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS],  matmul_iq4_xs_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL],  matmul_iq4_nl_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4],   matmul_mxfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
+            CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4],   matmul_nvfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
         } else {
+            CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0].f32acc, matmul_q1_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f32acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f32acc, matmul_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f32acc, matmul_q5_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
@@ -3623,6 +3749,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f32acc,  matmul_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc,  matmul_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4].f32acc,   matmul_mxfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
+            CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4].f32acc,   matmul_nvfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
         }
 
         GGML_ASSERT(device->subgroup_ballot);
@@ -3636,6 +3763,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         }
 #endif
 
+        CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_subgroup_q1_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_subgroup_q4_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_subgroup_q4_1_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_subgroup_q5_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
@@ -3656,6 +3784,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_subgroup_iq4_xs_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_subgroup_iq4_nl_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_subgroup_mxfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
+        CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_subgroup_nvfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
 #undef CREATE_MM2
 #undef CREATE_MM
     } else
@@ -3699,6 +3828,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
         CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3, , 0);
 
+        CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0], matmul_q1_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0], matmul_q4_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1], matmul_q4_1_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0], matmul_q5_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
@@ -3720,6 +3850,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS],  matmul_iq4_xs_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL],  matmul_iq4_nl_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4],   matmul_mxfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
+        CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4],   matmul_nvfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (device->integer_dot_product) {
@@ -3745,6 +3876,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_F16, pipeline_matmul_id_f16_f32, matmul_id_subgroup_f16_f32, wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_subgroup_bf16, , wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
 
+            CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_subgroup_q1_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_subgroup_q4_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_subgroup_q4_1_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_subgroup_q5_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
@@ -3765,6 +3897,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_subgroup_iq4_xs_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_subgroup_iq4_nl_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_subgroup_mxfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
+            CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_subgroup_nvfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
             if (device->integer_dot_product) {
@@ -3789,6 +3922,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_F16, pipeline_matmul_id_f16_f32, matmul_id_f16_f32, wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
 
+            CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_q1_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_q4_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_q4_1_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_q5_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
@@ -3809,6 +3943,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_iq4_xs_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_iq4_nl_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_mxfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
+            CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_nvfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
             if (device->integer_dot_product) {
@@ -3862,6 +3997,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
         CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3, , 0);
 
+        CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0].f32acc, matmul_q1_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f32acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f32acc, matmul_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f32acc, matmul_q5_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
@@ -3883,6 +4019,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f32acc,  matmul_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc,  matmul_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4].f32acc,   matmul_mxfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
+        CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4].f32acc,   matmul_nvfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (device->integer_dot_product) {
@@ -3906,6 +4043,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_F16, pipeline_matmul_id_f16_f32.f32acc, matmul_id_subgroup_f16_f32, , wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_subgroup_bf16, , wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
 
+            CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0].f32acc, matmul_id_subgroup_q1_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f32acc, matmul_id_subgroup_q4_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f32acc, matmul_id_subgroup_q4_1_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f32acc, matmul_id_subgroup_q5_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
@@ -3926,12 +4064,14 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f32acc,  matmul_id_subgroup_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc,  matmul_id_subgroup_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4].f32acc,   matmul_id_subgroup_mxfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
+            CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4].f32acc,   matmul_id_subgroup_nvfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
         } else {
             CREATE_MM(GGML_TYPE_F32, pipeline_matmul_id_f32, matmul_id_f32_f32, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_F16, pipeline_matmul_id_f16.f32acc, matmul_id_f16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_F16, pipeline_matmul_id_f16_f32.f32acc, matmul_id_f16_f32, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
 
+            CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0].f32acc, matmul_id_q1_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f32acc, matmul_id_q4_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f32acc, matmul_id_q4_1_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f32acc, matmul_id_q5_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
@@ -3952,6 +4092,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f32acc,  matmul_id_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc,  matmul_id_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4].f32acc,   matmul_id_mxfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
+            CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4].f32acc,   matmul_id_nvfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
         }
     }
     // reusing CREATE_MM from the fp32 path
@@ -4029,6 +4170,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f32_f32",  arr_dmmv_f32_f32_f32_len[reduc],  arr_dmmv_f32_f32_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, {wg_size_subgroup, 1, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_F16 ][i], "mul_mat_vec_f16_f32_f32",  arr_dmmv_f16_f32_f32_len[reduc],  arr_dmmv_f16_f32_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_BF16][i], "mul_mat_vec_bf16_f32_f32", arr_dmmv_bf16_f32_f32_len[reduc], arr_dmmv_bf16_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q1_0][i], "mul_mat_vec_q1_0_f32_f32", arr_dmmv_q1_0_f32_f32_len[reduc], arr_dmmv_q1_0_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q4_0][i], "mul_mat_vec_q4_0_f32_f32", arr_dmmv_q4_0_f32_f32_len[reduc], arr_dmmv_q4_0_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q4_1][i], "mul_mat_vec_q4_1_f32_f32", arr_dmmv_q4_1_f32_f32_len[reduc], arr_dmmv_q4_1_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q5_0][i], "mul_mat_vec_q5_0_f32_f32", arr_dmmv_q5_0_f32_f32_len[reduc], arr_dmmv_q5_0_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
@@ -4049,10 +4191,12 @@ static void ggml_vk_load_shaders(vk_device& device) {
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_IQ4_XS][i],  "mul_mat_vec_iq4_xs_f32_f32",  arr_dmmv_iq4_xs_f32_f32_len[reduc16],  arr_dmmv_iq4_xs_f32_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_IQ4_NL][i],  "mul_mat_vec_iq4_nl_f32_f32",  arr_dmmv_iq4_nl_f32_f32_len[reduc16],  arr_dmmv_iq4_nl_f32_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_MXFP4][i],   "mul_mat_vec_mxfp4_f32_f32",   arr_dmmv_mxfp4_f32_f32_len[reduc16],   arr_dmmv_mxfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_NVFP4][i],   "mul_mat_vec_nvfp4_f32_f32",   arr_dmmv_nvfp4_f32_f32_len[reduc16],   arr_dmmv_nvfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
 
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f16_f32",  arr_dmmv_f32_f16_f32_len[reduc],  arr_dmmv_f32_f16_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, {wg_size_subgroup, 1, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_F16 ][i], "mul_mat_vec_f16_f16_f32",  arr_dmmv_f16_f16_f32_len[reduc],  arr_dmmv_f16_f16_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_BF16][i], "mul_mat_vec_bf16_f16_f32", arr_dmmv_bf16_f16_f32_len[reduc], arr_dmmv_bf16_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q1_0][i], "mul_mat_vec_q1_0_f16_f32", arr_dmmv_q1_0_f16_f32_len[reduc], arr_dmmv_q1_0_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q4_0][i], "mul_mat_vec_q4_0_f16_f32", arr_dmmv_q4_0_f16_f32_len[reduc], arr_dmmv_q4_0_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q4_1][i], "mul_mat_vec_q4_1_f16_f32", arr_dmmv_q4_1_f16_f32_len[reduc], arr_dmmv_q4_1_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q5_0][i], "mul_mat_vec_q5_0_f16_f32", arr_dmmv_q5_0_f16_f32_len[reduc], arr_dmmv_q5_0_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
@@ -4073,6 +4217,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_IQ4_XS][i],  "mul_mat_vec_iq4_xs_f16_f32",  arr_dmmv_iq4_xs_f16_f32_len[reduc16],  arr_dmmv_iq4_xs_f16_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_IQ4_NL][i],  "mul_mat_vec_iq4_nl_f16_f32",  arr_dmmv_iq4_nl_f16_f32_len[reduc16],  arr_dmmv_iq4_nl_f16_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_MXFP4][i],   "mul_mat_vec_mxfp4_f16_f32",   arr_dmmv_mxfp4_f16_f32_len[reduc16],   arr_dmmv_mxfp4_f16_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_NVFP4][i],   "mul_mat_vec_nvfp4_f16_f32",   arr_dmmv_nvfp4_f16_f32_len[reduc16],   arr_dmmv_nvfp4_f16_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
             if (device->integer_dot_product) {
@@ -4103,6 +4248,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32",        arr_dmmv_id_f32_f32_f32_len[reduc],     arr_dmmv_id_f32_f32_f32_data[reduc],     "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, {wg_size_subgroup, 1}, 1, false, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",        arr_dmmv_id_f16_f32_f32_len[reduc],     arr_dmmv_id_f16_f32_f32_data[reduc],     "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2, 1, 1}, {wg_size_subgroup, 2}, 1, false, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_BF16], "mul_mat_vec_id_bf16_f32",       arr_dmmv_id_bf16_f32_f32_len[reduc],    arr_dmmv_id_bf16_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2, 1, 1}, {wg_size_subgroup, 2}, 1, false, use_subgroups, force_subgroup_size);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q1_0], "mul_mat_vec_id_q1_0_f32",       arr_dmmv_id_q1_0_f32_f32_len[reduc],    arr_dmmv_id_q1_0_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32",       arr_dmmv_id_q4_0_f32_f32_len[reduc],    arr_dmmv_id_q4_0_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32",       arr_dmmv_id_q4_1_f32_f32_len[reduc],    arr_dmmv_id_q4_1_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32",       arr_dmmv_id_q5_0_f32_f32_len[reduc],    arr_dmmv_id_q5_0_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
@@ -4123,6 +4269,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_IQ4_XS],  "mul_mat_vec_id_iq4_xs_f32",  arr_dmmv_id_iq4_xs_f32_f32_len[reduc16],  arr_dmmv_id_iq4_xs_f32_f32_data[reduc16],  "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_IQ4_NL],  "mul_mat_vec_id_iq4_nl_f32",  arr_dmmv_id_iq4_nl_f32_f32_len[reduc16],  arr_dmmv_id_iq4_nl_f32_f32_data[reduc16],  "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_MXFP4],   "mul_mat_vec_id_mxfp4_f32",   arr_dmmv_id_mxfp4_f32_f32_len[reduc16],   arr_dmmv_id_mxfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_NVFP4],   "mul_mat_vec_id_nvfp4_f32",   arr_dmmv_id_nvfp4_f32_f32_len[reduc16],   arr_dmmv_id_nvfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (device->integer_dot_product) {
@@ -4157,6 +4304,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
     // dequant shaders
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16",   dequant_f32_len,  dequant_f32_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q1_0], "dequant_q1_0", dequant_q1_0_len, dequant_q1_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 8, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_0], "dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_1], "dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
@@ -4177,11 +4325,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_XS],  "dequant_iq4_xs",  dequant_iq4_xs_len,  dequant_iq4_xs_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL],  "dequant_iq4_nl",  dequant_iq4_nl_len,  dequant_iq4_nl_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_MXFP4],   "dequant_mxfp4",   dequant_mxfp4_len,   dequant_mxfp4_data,   "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_NVFP4],   "dequant_nvfp4",   dequant_nvfp4_len,   dequant_nvfp4_data,   "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
 
     // get_rows
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32",  get_rows_f32_len,  get_rows_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F16 ], "get_rows_f16",  get_rows_f16_len,  get_rows_f16_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_BF16], "get_rows_bf16", get_rows_bf16_len, get_rows_bf16_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q1_0], "get_rows_q1_0", get_rows_q1_0_len, get_rows_q1_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_0], "get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_1], "get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
@@ -4202,11 +4352,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_XS],  "get_rows_iq4_xs",  get_rows_iq4_xs_len,  get_rows_iq4_xs_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL],  "get_rows_iq4_nl",  get_rows_iq4_nl_len,  get_rows_iq4_nl_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_MXFP4],   "get_rows_mxfp4",   get_rows_mxfp4_len,   get_rows_mxfp4_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_NVFP4],   "get_rows_nvfp4",   get_rows_nvfp4_len,   get_rows_nvfp4_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_I32],     "get_rows_i32",     get_rows_i32_len,     get_rows_i32_data,     "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32",  get_rows_f32_f32_len,  get_rows_f32_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32",  get_rows_f16_f32_len,  get_rows_f16_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_BF16], "get_rows_bf16_f32", get_rows_bf16_f32_len, get_rows_bf16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q1_0], "get_rows_q1_0_f32", get_rows_q1_0_f32_len, get_rows_q1_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_0], "get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_1], "get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
@@ -4227,6 +4379,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_XS],  "get_rows_iq4_xs_f32",  get_rows_iq4_xs_f32_len,  get_rows_iq4_xs_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL],  "get_rows_iq4_nl_f32",  get_rows_iq4_nl_f32_len,  get_rows_iq4_nl_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_MXFP4],   "get_rows_mxfp4_f32",   get_rows_mxfp4_f32_len,   get_rows_mxfp4_f32_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_NVFP4],   "get_rows_nvfp4_f32",   get_rows_nvfp4_f32_len,   get_rows_nvfp4_f32_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256 * 4, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_flash_attn_split_k_reduce, "fa_split_k_reduce", fa_split_k_reduce_len, fa_split_k_reduce_data, "main", 3, sizeof(vk_op_flash_attn_split_k_reduce_push_constants), {1, device->subgroup_size, 1}, {device->subgroup_size}, 1, true);
@@ -4259,10 +4412,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_partials_f32, "rms_norm_partials_f32", rms_norm_partials_f32_len, rms_norm_partials_f32_data, "main", 4, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {0, 0}, 1, true);
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_partials_f32, "rms_norm_mul_partials_f32", rms_norm_partials_f32_len, rms_norm_partials_f32_data, "main", 4, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {0, 1}, 1, true);
 
-    if (device->float_controls_rte_fp16 &&
-        sizeof(vk_op_rms_norm_mul_rope_push_constants) <= device->properties.limits.maxPushConstantsSize) {
+    if (sizeof(vk_op_rms_norm_mul_rope_push_constants) <= device->properties.limits.maxPushConstantsSize) {
         ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_rope_f32_f32, "rms_norm_mul_rope_f32_f32", rms_norm_mul_rope_f32_f32_len, rms_norm_mul_rope_f32_f32_data, "main", 7, sizeof(vk_op_rms_norm_mul_rope_push_constants), {1, 1, 1}, {0, 1}, 1, true);
-        ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_rope_f32_f16, "rms_norm_mul_rope_f32_f16", rms_norm_mul_rope_f32_f16_rte_len, rms_norm_mul_rope_f32_f16_rte_data, "main", 7, sizeof(vk_op_rms_norm_mul_rope_push_constants), {1, 1, 1}, {0, 1}, 1, true);
+        ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_rope_f32_f16, "rms_norm_mul_rope_f32_f16", rms_norm_mul_rope_f32_f16_len, rms_norm_mul_rope_f32_f16_data, "main", 7, sizeof(vk_op_rms_norm_mul_rope_push_constants), {1, 1, 1}, {0, 1}, 1, true);
     }
 
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_back_f32, "rms_norm_back_f32", rms_norm_back_f32_len, rms_norm_back_f32_data, "main", 3, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
@@ -4287,43 +4439,32 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_cpy_transpose_32, "cpy_transpose_32", cpy_transpose_32_len, cpy_transpose_32_data, "main", 2, sizeof(vk_op_unary_push_constants), {1, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_transpose_16, "cpy_transpose_16", cpy_transpose_16_len, cpy_transpose_16_data, "main", 2, sizeof(vk_op_unary_push_constants), {1, 1, 1}, {}, 1);
 
-    if (device->float_controls_rte_fp16) {
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_0], "cpy_f32_q4_0", cpy_f32_q4_0_rte_len, cpy_f32_q4_0_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_1], "cpy_f32_q4_1", cpy_f32_q4_1_rte_len, cpy_f32_q4_1_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_0], "cpy_f32_q5_0", cpy_f32_q5_0_rte_len, cpy_f32_q5_0_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_1], "cpy_f32_q5_1", cpy_f32_q5_1_rte_len, cpy_f32_q5_1_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q8_0], "cpy_f32_q8_0", cpy_f32_q8_0_rte_len, cpy_f32_q8_0_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_IQ4_NL], "cpy_f32_iq4_nl", cpy_f32_iq4_nl_rte_len, cpy_f32_iq4_nl_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-    } else {
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_0], "cpy_f32_q4_0", cpy_f32_q4_0_len, cpy_f32_q4_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_1], "cpy_f32_q4_1", cpy_f32_q4_1_len, cpy_f32_q4_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_0], "cpy_f32_q5_0", cpy_f32_q5_0_len, cpy_f32_q5_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_1], "cpy_f32_q5_1", cpy_f32_q5_1_len, cpy_f32_q5_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q8_0], "cpy_f32_q8_0", cpy_f32_q8_0_len, cpy_f32_q8_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_IQ4_NL], "cpy_f32_iq4_nl", cpy_f32_iq4_nl_len, cpy_f32_iq4_nl_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-    }
-
-#define SET_ROWS(itype, rte) \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F32],  "set_rows_f32" #itype,  set_rows_f32 ## itype ## rte ## _len,  set_rows_f32 ## itype ## rte ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F16],  "set_rows_f16" #itype,  set_rows_f16 ## itype ## rte ## _len,  set_rows_f16 ## itype ## rte ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_BF16], "set_rows_bf16" #itype, set_rows_bf16 ## itype ## rte ## _len, set_rows_bf16 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_0], "set_rows_q4_0" #itype, set_rows_q4_0 ## itype ## rte ## _len, set_rows_q4_0 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_1], "set_rows_q4_1" #itype, set_rows_q4_1 ## itype ## rte ## _len, set_rows_q4_1 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_0], "set_rows_q5_0" #itype, set_rows_q5_0 ## itype ## rte ## _len, set_rows_q5_0 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_1], "set_rows_q5_1" #itype, set_rows_q5_1 ## itype ## rte ## _len, set_rows_q5_1 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q8_0], "set_rows_q8_0" #itype, set_rows_q8_0 ## itype ## rte ## _len, set_rows_q8_0 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_IQ4_NL], "set_rows_iq4_nl" #itype, set_rows_iq4_nl ## itype ## rte ## _len, set_rows_iq4_nl ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true);
-
-    if (device->float_controls_rte_fp16) {
-        SET_ROWS(_i32, _rte)
-        SET_ROWS(_i64, _rte)
-    } else {
-        SET_ROWS(_i32, )
-        SET_ROWS(_i64, )
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q1_0], "cpy_f32_q1_0", cpy_f32_q1_0_len, cpy_f32_q1_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_0], "cpy_f32_q4_0", cpy_f32_q4_0_len, cpy_f32_q4_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_1], "cpy_f32_q4_1", cpy_f32_q4_1_len, cpy_f32_q4_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_0], "cpy_f32_q5_0", cpy_f32_q5_0_len, cpy_f32_q5_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_1], "cpy_f32_q5_1", cpy_f32_q5_1_len, cpy_f32_q5_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q8_0], "cpy_f32_q8_0", cpy_f32_q8_0_len, cpy_f32_q8_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_IQ4_NL], "cpy_f32_iq4_nl", cpy_f32_iq4_nl_len, cpy_f32_iq4_nl_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+
+#define SET_ROWS(itype) \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F32],  "set_rows_f32" #itype,  set_rows_f32 ## itype ## _len,  set_rows_f32 ## itype ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F16],  "set_rows_f16" #itype,  set_rows_f16 ## itype ## _len,  set_rows_f16 ## itype ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_BF16], "set_rows_bf16" #itype, set_rows_bf16 ## itype ## _len, set_rows_bf16 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q1_0], "set_rows_q1_0" #itype, set_rows_q1_0 ## itype ## _len, set_rows_q1_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_0], "set_rows_q4_0" #itype, set_rows_q4_0 ## itype ## _len, set_rows_q4_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_1], "set_rows_q4_1" #itype, set_rows_q4_1 ## itype ## _len, set_rows_q4_1 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_0], "set_rows_q5_0" #itype, set_rows_q5_0 ## itype ## _len, set_rows_q5_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_1], "set_rows_q5_1" #itype, set_rows_q5_1 ## itype ## _len, set_rows_q5_1 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q8_0], "set_rows_q8_0" #itype, set_rows_q8_0 ## itype ## _len, set_rows_q8_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_IQ4_NL], "set_rows_iq4_nl" #itype, set_rows_iq4_nl ## itype ## _len, set_rows_iq4_nl ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true);
+
+    SET_ROWS(_i32)
+    SET_ROWS(_i64)
 #undef SET_ROWS
 
 
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q1_0], "cpy_q1_0_f32", cpy_q1_0_f32_len, cpy_q1_0_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q1_0), 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q4_0], "cpy_q4_0_f32", cpy_q4_0_f32_len, cpy_q4_0_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q4_0), 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q4_1], "cpy_q4_1_f32", cpy_q4_1_f32_len, cpy_q4_1_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q4_1), 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q5_0], "cpy_q5_0_f32", cpy_q5_0_f32_len, cpy_q5_0_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q5_0), 1, 1}, {}, 1);
@@ -4339,11 +4480,10 @@ static void ggml_vk_load_shaders(vk_device& device) {
         return s;
     };
 
-    bool rte = device->float_controls_rte_fp16;
 #define CREATE_BINARY(name, namemod, spec, bindings) \
     for (int s0 : {0,1}) for (int s1 : {0,1}) for (int d : {0,1}) \
         ggml_vk_create_pipeline2(device, device->pipeline_ ## name ## namemod[s0][s1][d], \
-                                #name + get_suffix(s0, s1, d) + #namemod, name ## _len[s0][s1][d][rte], name ## _data[s0][s1][d][rte], \
+                                #name + get_suffix(s0, s1, d) + #namemod, name ## _len[s0][s1][d], name ## _data[s0][s1][d], \
                                 "main", (bindings), sizeof(vk_op_binary_push_constants), {512, 1, 1}, spec, 1);
 
     CREATE_BINARY(add, , {0}, 4)
@@ -4386,13 +4526,8 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_sin_f32, "sin_f32", sin_f32_len, sin_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cos_f32, "cos_f32", cos_f32_len, cos_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
-    if (device->float_controls_rte_fp16) {
-        ggml_vk_create_pipeline(device, device->pipeline_log[0], "log_f32_rte", log_f32_rte_len, log_f32_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_log[1], "log_f16_rte", log_f16_rte_len, log_f16_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-    } else {
-        ggml_vk_create_pipeline(device, device->pipeline_log[0], "log_f32", log_f32_len, log_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_log[1], "log_f16", log_f16_len, log_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_log[0], "log_f32", log_f32_len, log_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_log[1], "log_f16", log_f16_len, log_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_tri[0], "tri_f32", tri_f32_len, tri_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_tri[1], "tri_f16", tri_f16_len, tri_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
@@ -4433,19 +4568,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
     CREATE_UNARY(floor)
     CREATE_UNARY(trunc)
     CREATE_UNARY(sgn)
+    CREATE_UNARY(exp)
 #undef CREATE_UNARY
 
-#define CREATE_UNARY_RTE(name)  \
-    if (device->float_controls_rte_fp16) {  \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32_rte", name ## _f32_rte_len, name ## _f32_rte_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16_rte", name ## _f16_rte_len, name ## _f16_rte_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-    } else {    \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-    }
-    CREATE_UNARY_RTE(exp)
-#undef CREATE_UNARY_RTE
-
     ggml_vk_create_pipeline(device, device->pipeline_add1_f16_f16, "add1_f16_f16", add1_f16_f16_len, add1_f16_f16_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_add1_f16_f32, "add1_f16_f32", add1_f16_f32_len, add1_f16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_add1_f32_f32, "add1_f32_f32", add1_f32_f32_len, add1_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
@@ -4453,15 +4578,11 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_arange_f32, "arange_f32", arange_f32_len, arange_f32_data, "main", 1, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_fill_f32, "fill_f32", fill_f32_len, fill_f32_data, "main", 1, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_fill_f16, "fill_f16", fill_f16_len, fill_f16_data, "main", 1, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
 #define CREATE_GLU(name)  \
-    if (device->float_controls_rte_fp16) {  \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32_rte", name ## _f32_rte_len, name ## _f32_rte_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16_rte", name ## _f16_rte_len, name ## _f16_rte_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-    } else {    \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
+    ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);
 
     CREATE_GLU(geglu)
     CREATE_GLU(reglu)
@@ -4494,25 +4615,14 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32, "rope_multi_f32", rope_multi_f32_len, rope_multi_f32_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f32, "rope_vision_f32", rope_vision_f32_len, rope_vision_f32_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-    if (device->float_controls_rte_fp16) {
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_rte_len, rope_norm_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_rte_len, rope_neox_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f16, "rope_multi_f16", rope_multi_f16_rte_len, rope_multi_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f16, "rope_vision_f16", rope_vision_f16_rte_len, rope_vision_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32_f16, "rope_norm_f32_f16", rope_norm_f32_f16_rte_len, rope_norm_f32_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32_f16, "rope_neox_f32_f16", rope_neox_f32_f16_rte_len, rope_neox_f32_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32_f16, "rope_multi_f32_f16", rope_multi_f32_f16_rte_len, rope_multi_f32_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    } else {
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f16, "rope_multi_f16", rope_multi_f16_len, rope_multi_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f16, "rope_vision_f16", rope_vision_f16_len, rope_vision_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f16, "rope_multi_f16", rope_multi_f16_len, rope_multi_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f16, "rope_vision_f16", rope_vision_f16_len, rope_vision_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32_f16, "rope_norm_f32_f16", rope_norm_f32_f16_len, rope_norm_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32_f16, "rope_neox_f32_f16", rope_neox_f32_f16_len, rope_neox_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32_f16, "rope_multi_f32_f16", rope_multi_f32_f16_len, rope_multi_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32_f16, "rope_norm_f32_f16", rope_norm_f32_f16_len, rope_norm_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32_f16, "rope_neox_f32_f16", rope_neox_f32_f16_len, rope_neox_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32_f16, "rope_multi_f32_f16", rope_multi_f32_f16_len, rope_multi_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
     for (uint32_t i = 0; i < num_argsort_pipelines; ++i) {
         uint32_t BLOCK_SIZE = 1u << std::min(i, device->max_workgroup_size_log2);
@@ -4574,13 +4684,8 @@ static void ggml_vk_load_shaders(vk_device& device) {
 #define IM2COL(bda) \
     ggml_vk_create_pipeline(device, device->pipeline_im2col_f32, "im2col_f32", im2col_f32 ## bda ## _len, im2col_f32 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
     ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32, "im2col_3d_f32", im2col_3d_f32 ## bda ## _len, im2col_3d_f32 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);      \
-    if (device->float_controls_rte_fp16) {  \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_f32_f16, "im2col_f32_f16", im2col_f32_f16_rte ## bda ## _len, im2col_f32_f16_rte ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32_f16, "im2col_3d_f32_f16", im2col_3d_f32_f16_rte ## bda ## _len, im2col_3d_f32_f16_rte ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);      \
-    } else {    \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_f32_f16, "im2col_f32_f16", im2col_f32_f16 ## bda ## _len, im2col_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32_f16, "im2col_3d_f32_f16", im2col_3d_f32_f16 ## bda ## _len, im2col_3d_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);      \
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_im2col_f32_f16, "im2col_f32_f16", im2col_f32_f16 ## bda ## _len, im2col_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
+    ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32_f16, "im2col_3d_f32_f16", im2col_3d_f32_f16 ## bda ## _len, im2col_3d_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);
     if (device->shader_int64 && device->buffer_device_address) {
         IM2COL(_bda)
     } else {
@@ -4604,12 +4709,42 @@ static void ggml_vk_load_shaders(vk_device& device) {
             {"gated_delta_net_f32_d64",     "gated_delta_net_f32_d64_kda"},
             {"gated_delta_net_f32_d128",    "gated_delta_net_f32_d128_kda"},
         };
+        const bool use_subgroup_reduce = device->subgroup_arithmetic;
         for (uint32_t si = 0; si < 3; si++) {
+            const uint32_t S_V = gdn_sizes[si];
+            GGML_ASSERT(is_pow2(S_V));
+
+            uint32_t lanes_per_column;
+            if (S_V >= 128u && device->subgroup_clustered) {
+                lanes_per_column = 8u;
+            } else {
+                // Use largest power-of-two that divides both S_V and subgroup_size so that
+                // (1) S_V % lanes_per_column == 0 and (2) S_V % (subgroup_size / lanes_per_column) == 0.
+                // This means we don't need extra bounds checking logic in the shader.
+                lanes_per_column = std::min(S_V, device->subgroup_size);
+            }
+
+            const bool need_clustered_shader = lanes_per_column != 1 && (lanes_per_column < device->subgroup_size);
+            size_t gdn_len;
+            const void * gdn_data;
+            if (use_subgroup_reduce && need_clustered_shader) {
+                gdn_len = gated_delta_net_f32_len;
+                gdn_data = (const void *)gated_delta_net_f32_data;
+            } else if (use_subgroup_reduce) {
+                gdn_len = gated_delta_net_f32_nocluster_len;
+                gdn_data = (const void *)gated_delta_net_f32_nocluster_data;
+            } else {
+                gdn_len = gated_delta_net_f32_shmem_len;
+                gdn_data = (const void *)gated_delta_net_f32_shmem_data;
+            }
+
+            const uint32_t cols_per_wg = device->subgroup_size / lanes_per_column;
+            const std::array<uint32_t, 3> wg_denoms = {1u, 1u, cols_per_wg};
+
             for (uint32_t kda = 0; kda < 2; kda++) {
                 ggml_vk_create_pipeline(device, device->pipeline_gated_delta_net[si][kda],
-                    gdn_names[si][kda], gated_delta_net_f32_len, gated_delta_net_f32_data,
-                    "main", 7, sizeof(vk_op_gated_delta_net_push_constants),
-                    {1, 1, 1}, {gdn_sizes[si], kda}, 1);
+                    gdn_names[si][kda], gdn_len, gdn_data, "main", 7, sizeof(vk_op_gated_delta_net_push_constants),
+                    wg_denoms, {S_V, kda, device->subgroup_size, lanes_per_column}, 1, true, use_subgroup_reduce, device->subgroup_size);
             }
         }
     }
@@ -5014,7 +5149,7 @@ static vk_device ggml_vk_get_device(size_t idx) {
         } else {
             device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities});
         }
-        vk::DeviceCreateInfo device_create_info;
+        vk::DeviceCreateInfo device_create_info{};
         std::vector<const char *> device_extensions;
         vk::PhysicalDeviceFeatures device_features = device->physical_device.getFeatures();
 
@@ -5383,12 +5518,10 @@ static vk_device ggml_vk_get_device(size_t idx) {
 #endif
         device->name = GGML_VK_NAME + std::to_string(idx);
 
-        device_create_info = {
-            vk::DeviceCreateFlags(),
-            device_queue_create_infos,
-            {},
-            device_extensions
-        };
+        device_create_info
+            .setFlags(vk::DeviceCreateFlags())
+            .setQueueCreateInfos(device_queue_create_infos)
+            .setPEnabledExtensionNames(device_extensions);
         device_create_info.setPNext(&device_features2);
         device->device = device->physical_device.createDevice(device_create_info);
 
@@ -5972,6 +6105,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type
     VK_LOG_DEBUG("ggml_vk_get_to_fp16()");
     switch (type) {
         case GGML_TYPE_F32:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -5992,6 +6126,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6043,6 +6178,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
     }
 
     switch (src0_type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6063,6 +6199,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6108,6 +6245,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
         case GGML_TYPE_F32:
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6128,6 +6266,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6198,6 +6337,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
     GGML_ASSERT(src1_type == GGML_TYPE_F32 || (ctx->device->coopmat2 && src1_type == GGML_TYPE_F16));
 
     switch (src0_type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6218,6 +6358,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6266,6 +6407,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context
         case GGML_TYPE_F32:
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6286,6 +6428,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -7213,6 +7356,7 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, const
     }
     if (src->type == GGML_TYPE_F32) {
         switch (to) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -7227,6 +7371,7 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, const
 
     if (to == GGML_TYPE_F32) {
         switch (src->type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -8702,7 +8847,7 @@ static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context& subctx
     }
 }
 
-static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc) {
+static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type) {
     GGML_UNUSED(f32acc);
     // Needs to be kept up to date on shader changes
     const uint32_t wg_size = params.workgroup_size;
@@ -8711,21 +8856,51 @@ static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, con
 
     const uint32_t float_type_size = device->fp16 ? sizeof(ggml_fp16_t) : sizeof(float);
 
+    const bool mmq = device->integer_dot_product && device->subgroup_clustered &&
+                     (kv_type == GGML_TYPE_Q4_0 || kv_type == GGML_TYPE_Q4_1 ||
+                      kv_type == GGML_TYPE_Q5_0 || kv_type == GGML_TYPE_Q5_1 ||
+                      kv_type == GGML_TYPE_Q8_0 || kv_type == GGML_TYPE_IQ4_NL);
+
     // tmpsh is overestimated slightly
     const uint32_t tmpsh = wg_size * sizeof(float);
     const uint32_t tmpshv4 = wg_size * 4 * float_type_size;
 
     const uint32_t masksh = Bc * (Br + 1) * float_type_size;
 
-    const uint32_t Qf = Br * (hsk / 4 + 1) * 4 * float_type_size;
+    uint32_t Qf, kvsh, kblocksh_size;
+    if (mmq) {
+        // block_b_cache: int32_t qs[8] + FLOAT_TYPEV2 ds
+        const uint32_t block_b_size = 8 * sizeof(int32_t) + 2 * float_type_size;
+        Qf = Br * (hsk / 32) * block_b_size;
+
+        // kvsh uses D = HSV (K goes through kblocksh instead)
+        kvsh = params.shmem_staging ? Bc * (hsv / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
+
+        // block_a_cache size depends on quant type
+        uint32_t block_a_size;
+        switch (kv_type) {
+            case GGML_TYPE_Q4_0:  block_a_size = 4 * sizeof(uint32_t) + float_type_size; break;
+            case GGML_TYPE_Q4_1:  block_a_size = 4 * sizeof(uint32_t) + 2 * float_type_size; break;
+            case GGML_TYPE_Q5_0:  block_a_size = 4 * sizeof(uint32_t) + sizeof(uint32_t) + float_type_size; break;
+            case GGML_TYPE_Q5_1:  block_a_size = 4 * sizeof(uint32_t) + sizeof(uint32_t) + 2 * float_type_size; break;
+            case GGML_TYPE_Q8_0:
+            case GGML_TYPE_IQ4_NL: block_a_size = 8 * sizeof(int32_t) + float_type_size; break;
+            default: block_a_size = 0; break;
+        }
+        kblocksh_size = params.shmem_staging ? Bc * (hsk / 32) * block_a_size : block_a_size;
+    } else {
+        Qf = Br * (hsk / 4 + 1) * 4 * float_type_size;
 
-    const uint32_t D = std::max(hsk, hsv);
-    const uint32_t kvsh = params.shmem_staging ? Bc * (D / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
+        const uint32_t D = std::max(hsk, hsv);
+        kvsh = params.shmem_staging ? Bc * (D / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
 
-    const uint32_t total_size = tmpsh + tmpshv4 + masksh + Qf + kvsh;
+        kblocksh_size = 0;
+    }
+
+    const uint32_t total_size = tmpsh + tmpshv4 + masksh + Qf + kvsh + kblocksh_size;
     const bool supported = total_size <= device->properties.limits.maxComputeSharedMemorySize;
 
-    VK_LOG_DEBUG("ggml_vk_flash_attn_scalar_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", total_size=" << total_size << ", supported=" << supported);
+    VK_LOG_DEBUG("ggml_vk_flash_attn_scalar_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", mmq=" << mmq << ", total_size=" << total_size << ", supported=" << supported);
 
     return supported;
 }
@@ -9671,6 +9846,9 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
         if (dst->type == GGML_TYPE_F32) {
             return ctx->device->pipeline_fill_f32;
         }
+        if (dst->type == GGML_TYPE_F16) {
+            return ctx->device->pipeline_fill_f16;
+        }
         return nullptr;
     default:
         return nullptr;
@@ -9891,7 +10069,13 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
 
             const uint32_t batch = src1->ne[is_2D ? 3 : 2];
 
-            elements = { OW * KW * KH, OH, batch * IC };
+            const uint32_t CHW = IC * KH * KW;
+            // Cap X workgroups to limit concurrent IC channel reads.
+            // The shader loops over X to cover the full CHW dimension.
+            // AMD prefers a lower limit
+            const uint32_t min_cap = ctx->device->vendor_id == VK_VENDOR_ID_AMD ? 512u : 4096u;
+            const uint32_t x_elements = std::min(CHW, std::max(min_cap, OW * KH * KW));
+            elements = { x_elements, OW, OH * batch };
             elements[1] = std::min(elements[1], ctx->device->properties.limits.maxComputeWorkGroupCount[1]);
             elements[2] = std::min(elements[2], ctx->device->properties.limits.maxComputeWorkGroupCount[2]);
         } break;
@@ -10438,7 +10622,7 @@ static void ggml_vk_gated_delta_net(ggml_backend_vk_context * ctx, vk_context& s
 
     ggml_vk_dispatch_pipeline(ctx, subctx, pipeline,
         {src_buf[0], src_buf[1], src_buf[2], src_buf[3], src_buf[4], src_buf[5], dst_buf},
-        pc, { H, n_seqs, 1u });
+        pc, { H, n_seqs, S_v });
 }
 
 static void ggml_vk_ssm_scan(ggml_backend_vk_context * ctx, vk_context& subctx, ggml_tensor * dst) {
@@ -11018,8 +11202,6 @@ static void ggml_vk_glu(ggml_backend_vk_context * ctx, vk_context& subctx, const
     const float alpha = op_params_f[2];
     const float limit = op_params_f[3];
 
-    GGML_ASSERT(ggml_is_contiguous(src0));
-
     if (!split) {
         GGML_ASSERT(src0->ne[0] / 2 == dst->ne[0]);
     } else {
@@ -11037,7 +11219,17 @@ static void ggml_vk_glu(ggml_backend_vk_context * ctx, vk_context& subctx, const
             (uint32_t)dst->ne[0],
             mode,
             alpha,
-            limit
+            limit,
+            (uint32_t)(src0->nb[1] / src0->nb[0]),
+            (uint32_t)(src0->nb[2] / src0->nb[0]),
+            (uint32_t)(src0->nb[3] / src0->nb[0]),
+            (uint32_t)src0->ne[1],
+            (uint32_t)src0->ne[2],
+            (uint32_t)(dst->nb[1] / dst->nb[0]),
+            (uint32_t)(dst->nb[2] / dst->nb[0]),
+            (uint32_t)(dst->nb[3] / dst->nb[0]),
+            (uint32_t)dst->ne[1],
+            (uint32_t)dst->ne[2]
         });
 }
 
@@ -11546,7 +11738,6 @@ static void ggml_vk_im2col(ggml_backend_vk_context * ctx, vk_context& subctx, co
     const uint32_t offset_delta = src1->nb[is_2D ? 2 : 1] / 4; // nb is byte offset, src is type float32
     const uint32_t batch_offset = src1->nb[is_2D ? 3 : 2] / 4; // nb is byte offset, src is type float32
 
-    const uint32_t pelements = OW * KW * KH;
     const uint32_t batch = src1->ne[is_2D ? 3 : 2];
 
     const ggml_backend_vk_buffer_context * d_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
@@ -11558,7 +11749,7 @@ static void ggml_vk_im2col(ggml_backend_vk_context * ctx, vk_context& subctx, co
         dst_addr,
         batch_offset, offset_delta,
         IC, IW, IH, OW, OH, KW, KH,
-        pelements,
+        OH * batch,
         IC * KH * KW,
         s0, s1, p0, p1, d0, d1, batch * IC
     });
@@ -13463,6 +13654,8 @@ static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_vk_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_vk_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_vk_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_vk_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_vk_buffer_clear,
     /* .reset           = */ NULL,
@@ -14174,8 +14367,7 @@ static bool ggml_vk_can_fuse_rms_norm_mul_rope(ggml_backend_vk_context * ctx, co
     }
 
     // conditions for pipeline creation
-    if (!(ctx->device->float_controls_rte_fp16 &&
-        sizeof(vk_op_rms_norm_mul_rope_push_constants) <= ctx->device->properties.limits.maxPushConstantsSize)) {
+    if (sizeof(vk_op_rms_norm_mul_rope_push_constants) > ctx->device->properties.limits.maxPushConstantsSize) {
         return false;
     }
 
@@ -14921,6 +15113,8 @@ static ggml_backend_i ggml_backend_vk_interface = {
     /* .free                    = */ ggml_backend_vk_free,
     /* .set_tensor_async        = */ ggml_backend_vk_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_vk_get_tensor_async,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ ggml_backend_vk_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_vk_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -15187,8 +15381,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 case GGML_GLU_OP_SWIGLU_OAI:
                 case GGML_GLU_OP_GEGLU_ERF:
                 case GGML_GLU_OP_GEGLU_QUICK:
-                    return ggml_is_contiguous(op->src[0]) &&
-                           (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) &&
+                    return (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) &&
                            (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) &&
                            (op->src[0]->type == op->type);
                 default:
@@ -15208,6 +15401,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15228,6 +15422,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_IQ4_XS:
                     case GGML_TYPE_IQ4_NL:
                     case GGML_TYPE_MXFP4:
+                    case GGML_TYPE_NVFP4:
                         break;
                     default:
                         return false;
@@ -15286,11 +15481,12 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 case GGML_TYPE_F32:
                 case GGML_TYPE_Q4_0:
                 case GGML_TYPE_Q8_0:
-                    // supported in scalar and coopmat2 paths
-                    break;
                 case GGML_TYPE_Q4_1:
                 case GGML_TYPE_Q5_0:
                 case GGML_TYPE_Q5_1:
+                case GGML_TYPE_IQ4_NL:
+                    // supported in scalar and coopmat2 paths
+                    break;
                 // K dequants currently disabled because D dimension is rounded up to 256 and runs inefficiently
                 //case GGML_TYPE_Q2_K:
                 //case GGML_TYPE_Q3_K:
@@ -15305,12 +15501,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 //case GGML_TYPE_IQ3_XXS:
                 //case GGML_TYPE_IQ3_S:
                 //case GGML_TYPE_IQ4_XS:
-                case GGML_TYPE_IQ4_NL:
-                    // currently supported only in coopmat2 path
-                    if (!coopmat2) {
-                        return false;
-                    }
-                    break;
+
                 default:
                     return false;
                 }
@@ -15326,6 +15517,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15346,6 +15538,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_IQ4_XS:
                     case GGML_TYPE_IQ4_NL:
                     case GGML_TYPE_MXFP4:
+                    case GGML_TYPE_NVFP4:
                     case GGML_TYPE_I32:
                         return true;
                     default:
@@ -15358,6 +15551,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15381,6 +15575,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15395,6 +15590,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 if (src1_type == GGML_TYPE_F32) {
                     switch (src0_type) {
                     case GGML_TYPE_F16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15522,8 +15718,9 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 || (op->src[0]->type == GGML_TYPE_F16 && op->src[1]->type == GGML_TYPE_F32)
                 || (op->src[0]->type == GGML_TYPE_F16 && op->src[1]->type == GGML_TYPE_F16);
         case GGML_OP_ARANGE:
-        case GGML_OP_FILL:
             return op->type == GGML_TYPE_F32;
+        case GGML_OP_FILL:
+            return op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16;
         case GGML_OP_SCALE:
             return ggml_is_contiguous(op->src[0]) && op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_PAD:
@@ -16018,6 +16215,7 @@ static uint32_t ggml_vk_intel_shader_core_count(const vk::PhysicalDevice& vkdev)
     case 0xE20C:  // B570
         return 18;
     case 0xE20B:  // B580
+    case 0xE211:  // Pro B60
         return 20;
     default:
         return 0;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp
index 06df50952580356136313b2e34f1bb48275ad3f8..6a6921474781f46f77e3dc3b94bf94b04bb16a9b 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp
@@ -4,7 +4,7 @@
 #include "generic_unary_head.glsl"
 #include "dequant_funcs.glsl"
 
-#if defined(DATA_A_IQ4_NL) || defined(DATA_A_MXFP4)
+#if defined(DATA_A_IQ4_NL) || defined(DATA_A_MXFP4) || defined(DATA_A_NVFP4)
 // 16 invocations needed for init_iq_shmem
 layout(local_size_x = 16, local_size_y = 1, local_size_z = 1) in;
 #else
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp
index b8c40eec102c9bc6c66e9877049f1d36e6c428af..710c15296da2a48a3c507938883a528c291659d2 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 
 #if defined(SET_ROWS) && QUANT_K == 1
@@ -184,6 +183,31 @@ void quantize(uint dst_idx, uint src_idx)
 }
 #endif
 
+#if defined(DATA_A_Q1_0)
+void quantize(uint dst_idx, uint src_idx)
+{
+    float sum_abs = 0.0;
+
+    [[unroll]] for (int j = 0; j < QUANT_K_Q1_0; j++) {
+        sum_abs += abs(data_s[src_idx + j]);
+    }
+
+    const float d = sum_abs / QUANT_K_Q1_0;
+
+    data_q[dst_idx].d = float16_t(d);
+
+    [[unroll]] for (int j = 0; j < QUANT_K_Q1_0 / 8; ++j) {
+        data_q[dst_idx].qs[j] = uint8_t(0);
+    }
+
+    [[unroll]] for (int j = 0; j < QUANT_K_Q1_0; ++j) {
+        if (data_s[src_idx + j] >= 0.0) {
+            data_q[dst_idx].qs[j / 8] |= uint8_t(1 << (j % 8));
+        }
+    }
+}
+#endif
+
 #if defined(DATA_A_IQ4_NL)
 uint best_index(float x) {
     if (x <= kvalues_iq4nl[0]) return 0;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl
index 7865a6bda79e08d7ef1c2085e9d570f0093e0765..88d07d2dfd506b686cffbbdd1ea98332dac6843f 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl
@@ -87,6 +87,23 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
 }
 #endif
 
+#if defined(DATA_A_Q1_0)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const uint bits = uint(data_a[a_offset + ib].qs[iqs / 8u]) >> (iqs % 8u);
+    return vec2(
+        (bits & 1u) != 0u ? 1.0f : -1.0f,
+        (bits & 2u) != 0u ? 1.0f : -1.0f);
+}
+vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
+    const uint bits = uint(data_a[a_offset + ib].qs[iqs / 8u]) >> (iqs % 8u);
+    return vec4(
+        (bits & 1u) != 0u ? 1.0f : -1.0f,
+        (bits & 2u) != 0u ? 1.0f : -1.0f,
+        (bits & 4u) != 0u ? 1.0f : -1.0f,
+        (bits & 8u) != 0u ? 1.0f : -1.0f);
+}
+#endif
+
 #if defined(DATA_A_IQ1_S)
 vec2 dequantize(uint ib, uint iqs, uint a_offset) {
     const uint ib32 = iqs / 32;
@@ -433,6 +450,25 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
 }
 #endif
 
+#if defined(DATA_A_NVFP4)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const uint sub = iqs >> 4;
+    const float d = ue4m3_to_fp32(data_a[a_offset + ib].d[sub]);
+    const uint j = iqs & 7;
+    const uint shift = (iqs & 8) >> 1; // 0 or 4
+    const uint vui0 = uint(data_a[a_offset + ib].qs[sub * 8u + j]);
+    const uint vui1 = uint(data_a[a_offset + ib].qs[sub * 8u + j + 1]);
+    const uint qs0 = (vui0 >> shift) & 0xF;
+    const uint qs1 = (vui1 >> shift) & 0xF;
+    return vec2(float(kvalues_mxfp4[qs0]), float(kvalues_mxfp4[qs1])) * d * 0.5;
+}
+vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
+    const vec2 v0 = dequantize(ib, iqs, a_offset);
+    const vec2 v1 = dequantize(ib, iqs + 2u, a_offset);
+    return vec4(v0.x, v0.y, v1.x, v1.y);
+}
+#endif
+
 #if defined(DATA_A_F32) || defined(DATA_A_F16) || defined(DATA_A_BF16)
 vec2 get_dm(uint ib, uint a_offset) {
     return vec2(0, 0);
@@ -454,12 +490,25 @@ vec2 get_dm(uint ib, uint a_offset) {
 }
 #endif
 
+#if defined(DATA_A_Q1_0)
+vec2 get_dm(uint ib, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    return vec2(d, 0);
+}
+#endif
+
 #if defined(DATA_A_MXFP4)
 vec2 get_dm(uint ib, uint a_offset) {
     return vec2(e8m0_to_fp32(data_a[a_offset + ib].e), 0);
 }
 #endif
 
+#if defined(DATA_A_NVFP4)
+vec2 get_dm(uint ib, uint a_offset) {
+    return vec2(1.0, 0.0);
+}
+#endif
+
 #if defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
 vec2 get_dm(uint ib, uint a_offset) {
     const vec2 dm = vec2(data_a_packed32[a_offset + ib].dm);
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl
index 8ac6482dc944b83b1af7c4df9da1b8110698d741..c582aba87dcdb88408e0bec5d9f64050381098c5 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl
@@ -13,6 +13,18 @@ float16_t dequantFuncF32(const in decodeBufF32 bl, const in uint blockCoords[2],
     return vf16[idx];
 }
 
+layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufQ1_0 {
+   block_q1_0 block;
+};
+
+float16_t dequantFuncQ1_0(const in decodeBufQ1_0 bl, const in uint blockCoords[2], const in uint coordInBlock[2])
+{
+    const float16_t d = bl.block.d;
+    const uint idx = coordInBlock[1];
+    const uint bit = (uint(bl.block.qs[(idx & 0x78) >> 3]) >> (idx & 0x7)) & 1u;
+    return bit != 0u ? d : -d;
+}
+
 layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufQ4_0 {
    block_q4_0_packed16 block;
 };
@@ -685,7 +697,27 @@ float16_t dequantFuncMXFP4(const in decodeBufMXFP4 bl, const in uint blockCoords
 }
 #endif
 
-#if defined(DATA_A_Q4_0)
+#if defined(DATA_A_NVFP4)
+layout(buffer_reference, std430, buffer_reference_align = 4) buffer decodeBufNVFP4 {
+   block_nvfp4 block;
+};
+
+float16_t dequantFuncNVFP4(const in decodeBufNVFP4 bl, const in uint blockCoords[2], const in uint coordInBlock[2])
+{
+    const uint idx = coordInBlock[1];
+    const uint sub = (idx & 0x30) >> 4;
+    const uint iqs = ((idx & 0x30) >> 1) + (idx & 0x7);
+    const uint shift = (idx & 0x8) >> 1;
+    const float d = ue4m3_to_fp32(bl.block.d[sub]);
+    uint qs = uint(bl.block.qs[iqs]);
+    qs = (qs >> shift) & 0xF;
+    return float16_t(kvalues_mxfp4[qs] * d * 0.5);
+}
+#endif
+
+#if defined(DATA_A_Q1_0)
+#define dequantFuncA dequantFuncQ1_0
+#elif defined(DATA_A_Q4_0)
 #define dequantFuncA dequantFuncQ4_0
 #elif defined(DATA_A_Q4_1)
 #define dequantFuncA dequantFuncQ4_1
@@ -729,6 +761,8 @@ float16_t dequantFuncMXFP4(const in decodeBufMXFP4 bl, const in uint blockCoords
 #define dequantFuncA dequantFuncIQ4_NL
 #elif defined(DATA_A_MXFP4)
 #define dequantFuncA dequantFuncMXFP4
+#elif defined(DATA_A_NVFP4)
+#define dequantFuncA dequantFuncNVFP4
 #elif defined(DATA_A_F32)
 #define dequantFuncA dequantFuncF32
 #endif
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp
new file mode 100644
index 0000000000000000000000000000000000000000..689089160b70ca5a94c4f79cdfce5456da33b407
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp
@@ -0,0 +1,32 @@
+#version 450
+
+#include "dequant_head.glsl"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_nvfp4 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    init_iq_shmem(gl_WorkGroupSize);
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint sub = tid / 16;
+    const uint ir = tid % 16;
+    const uint ib = 16 * i + ir;
+    if (ib >= p.nel / 64) {
+        return;
+    }
+
+    const uint q_idx = 8 * sub;
+    const uint b_idx = 1024 * i + 64 * ir + 16 * sub;
+
+    const float d = ue4m3_to_fp32(data_a[ib].d[sub]);
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        data_b[b_idx + l +  0] = D_TYPE(d * 0.5 * float(kvalues_mxfp4[data_a[ib].qs[q_idx + l] & 0xF]));
+        data_b[b_idx + l +  8] = D_TYPE(d * 0.5 * float(kvalues_mxfp4[data_a[ib].qs[q_idx + l] >>  4]));
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp
new file mode 100644
index 0000000000000000000000000000000000000000..ca0bdbc63e0afff65eea45823505114704bfc56f
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp
@@ -0,0 +1,29 @@
+#version 450
+
+#include "dequant_head.glsl"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q1_0 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid / 4;
+    const uint ir  = tid % 4;
+    const uint ib = 4*i + ir;
+    if (ib >= p.nel / 128) {
+        return;
+    }
+
+    const uint b_idx = 512*i + 128*ir + 8*il;
+
+    const float d = float(data_a[ib].d);
+    const uint bits = uint(data_a[ib].qs[il]);
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        data_b[b_idx + l] = D_TYPE((bits & (1u << l)) != 0u ? d : -d);
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp b/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp
index cd3f42f4911930110cab3962788de7d1376d335f..79761324f555e3d7d26d45e148be754058e29efe 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "generic_unary_head.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp b/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp
index b69d4ddb09656dbbfe7eefbaf852c7983df5736e..c7cf5ec68f761f7e3c266cb183b874fd7a41f7e1 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "generic_head.glsl"
 #include "types.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
index 11b7dce8578546094104f4be499e05411ce8e58a..6e6bdabc92e19df3a46a3d8db2c372820a264683 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
@@ -10,6 +10,13 @@
 #extension GL_EXT_shader_subgroup_extended_types_float16 : require
 #endif
 
+#ifdef MMQ
+#extension GL_EXT_integer_dot_product : require
+#extension GL_KHR_shader_subgroup_clustered : require
+
+#include "mul_mmq_shmem_types.glsl"
+#endif
+
 #extension GL_KHR_shader_subgroup_shuffle : enable
 #extension GL_KHR_shader_subgroup_vote : enable
 
@@ -41,15 +48,34 @@ shared FLOAT_TYPEV4 tmpshv4[tmpsh_size];
 const uint32_t masksh_stride = Br + 1;
 shared FLOAT_TYPE masksh[Bc * masksh_stride];
 
+#ifndef MMQ
 const uint32_t qf_stride = HSK / 4 + 1;
 shared FLOAT_TYPEV4 Qf[Br * qf_stride];
+#else
 
+const uint32_t qf_stride = HSK / 32;
+shared block_b_cache Qf[Br * qf_stride];
+#endif
+
+#ifndef MMQ
 const uint32_t D = HSK > HSV ? HSK : HSV;
+#else
+const uint32_t D = HSV;
+#endif
 const uint32_t kvsh_stride = D / 4 + 1;
 shared FLOAT_TYPEV4 kvsh[SHMEM_STAGING != 0 ? Bc * kvsh_stride : 1];
 
+#ifdef MMQ
+
+shared block_a_cache kblocksh[SHMEM_STAGING != 0 ? Bc * qf_stride : 1];
+#endif
+
 shared vec4 occupancy_limiter[LIMIT_OCCUPANCY_SHMEM > 0 ? LIMIT_OCCUPANCY_SHMEM : 1];
 
+#ifdef MMQ
+#include "flash_attn_mmq_funcs.glsl"
+#endif
+
 void main() {
 #ifdef NEEDS_INIT_IQ_SHMEM
     init_iq_shmem(gl_WorkGroupSize);
@@ -82,10 +108,39 @@ void main() {
     [[unroll]] for (uint32_t idx = 0; idx < Br * HSK / 4; idx += gl_WorkGroupSize.x) {
         uint32_t d = (idx + tid) % (HSK / 4);
         uint32_t r = (idx + tid) / (HSK / 4);
-        if (r < Br && d < HSK / 4 &&
-            i * Br + r < N) {
+        const bool is_in_bounds = r < Br && d < HSK / 4 && i * Br + r < N;
+#ifndef MMQ
+        if (is_in_bounds) {
             Qf[r * qf_stride + d] = FLOAT_TYPEV4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale);
         }
+#else
+        const uint buf_ib = r * qf_stride + d / 8;
+        const uint buf_iqs = d % 8;
+
+        FLOAT_TYPEV4 vals = is_in_bounds ? FLOAT_TYPEV4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale) : FLOAT_TYPEV4(0.0f);
+        const FLOAT_TYPEV4 abs_vals = abs(vals);
+
+        const FLOAT_TYPE thread_max = max(max(abs_vals.x, abs_vals.y), max(abs_vals.z, abs_vals.w));
+        const FLOAT_TYPE amax = subgroupClusteredMax(thread_max, 8);
+        const FLOAT_TYPE qd = amax / FLOAT_TYPE(127.0);
+        const FLOAT_TYPE qd_inv = qd != FLOAT_TYPE(0.0) ? FLOAT_TYPE(1.0) / qd : FLOAT_TYPE(0.0);
+        vals = round(vals * qd_inv);
+
+        Qf[buf_ib].qs[buf_iqs] = pack32(i8vec4(vals));
+
+#if defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL)
+        if (buf_iqs == 0) {
+            Qf[buf_ib].ds = FLOAT_TYPEV2(qd, 0.0);
+        }
+#else // Q4_0, Q4_1, Q5_0, Q5_1
+        const FLOAT_TYPE thread_sum = vals.x + vals.y + vals.z + vals.w;
+        const FLOAT_TYPE sum = subgroupClusteredAdd(thread_sum, 8);
+
+        if (buf_iqs == 0) {
+            Qf[buf_ib].ds = FLOAT_TYPEV2(qd, sum * qd);
+        }
+#endif
+#endif
     }
     barrier();
 
@@ -195,6 +250,7 @@ void main() {
 
         if (SHMEM_STAGING != 0) {
             barrier();
+#ifndef MMQ
             [[unroll]] for (uint32_t idx = 0; idx < Bc * HSK / 4; idx += gl_WorkGroupSize.x) {
                 uint32_t d = (idx + tid) % (HSK / 4);
                 uint32_t c = (idx + tid) / (HSK / 4);
@@ -214,9 +270,29 @@ void main() {
                     kvsh[c * kvsh_stride + d] = K_Tf;
                 }
             }
+#else // MMQ
+            const uint ints_per_block = 8 / QUANT_R_MMQ;
+            const uint quant_iters = Bc * HSK / 32 * ints_per_block;
+            [[unroll]] for (uint32_t idx = 0; idx < quant_iters; idx += gl_WorkGroupSize.x) {
+                const uint32_t iqs = (idx + tid) % ints_per_block;
+                const uint32_t ib = (idx + tid) / ints_per_block;
+                const uint32_t c = ib / (HSK / 32);
+                const uint32_t block = ib % (HSK / 32);
+                if (idx + gl_WorkGroupSize.x <= quant_iters || c < Bc) {
+                    const uint buf_ib = c * qf_stride + block;
+                    if (!KV_bounds_check || j * Bc + c < KV) {
+                        const uint global_ib = (j * Bc + c) * k_stride + block;
+                        k_block_to_shmem(buf_ib, global_ib, iqs, k_offset);
+                    } else {
+                        k_block_to_shmem_zero(buf_ib, iqs);
+                    }
+                }
+            }
+#endif // MMQ
             barrier();
         }
 
+#ifndef MMQ
         // More d iterations means Q register caching becomes relevant
         // Few iterations means the additional registers needed are worse than the speed-up from caching
         if (HSK_per_thread / 4 > 4) {
@@ -275,6 +351,110 @@ void main() {
                 }
             }
         }
+#else // MMQ
+        const uint hsk4 = HSK_per_thread / 4;
+        const uint d_per_step = (hsk4 % 8 == 0) ? 8 :
+                                (hsk4 % 4 == 0) ? 4 :
+                                (hsk4 % 2 == 0) ? 2 : 1;
+
+        [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
+            if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
+                continue;
+            }
+
+            [[unroll]] for (uint32_t d_block = 0; d_block < HSK_per_thread / 4; d_block += d_per_step) {
+                int32_t k_quants[d_per_step];
+                ACC_TYPEV2 k_dm;
+
+                if (SHMEM_STAGING != 0) {
+                    const uint k_block_idx = (d_tid * (HSK_per_thread / 4) + d_block) / 8;
+                    const uint buf_ib = (c * cols_per_iter + col_tid) * qf_stride + k_block_idx;
+#if QUANT_AUXF == 1
+                    k_dm = ACC_TYPEV2(kblocksh[buf_ib].dm, 0.0);
+#else
+                    k_dm = ACC_TYPEV2(kblocksh[buf_ib].dm);
+#endif
+
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) || defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                    if (d_per_step == 8) {
+                        [[unroll]] for (uint32_t d = 0; d < 4; d++) {
+                            uint vui = kblocksh[buf_ib].qs[d];
+                            k_quants[d    ] = int32_t( vui       & 0x0F0F0F0F);
+                            k_quants[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F);
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                            uint qh_lo = (kblocksh[buf_ib].qh >> (d * 4)) & 0xF;
+                            uint qh_hi = (kblocksh[buf_ib].qh >> (d * 4 + 16)) & 0xF;
+                            k_quants[d    ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u);
+                            k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u);
+#endif
+                        }
+                    } else
+#endif
+                    {
+                        [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) {
+                            k_quants[d] = get_k_qs_shmem(buf_ib, (d_tid * (HSK_per_thread / 4) + d_block) % 8 + d);
+                        }
+                    }
+                } else {
+                    const uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d_tid * (HSK_per_thread / 4) + d_block);
+                    const uint ib = coord / BLOCK_SIZE;
+                    const uint iqs = (coord % BLOCK_SIZE);
+
+#if QUANT_AUXF == 1
+                    k_dm = ACC_TYPEV2(get_k_d(ib, k_offset), 0.0);
+#else
+                    k_dm = ACC_TYPEV2(get_k_dm(ib, k_offset));
+#endif
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) || defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                    if (d_per_step == 8) {
+#if defined(DATA_A_Q5_0)
+                        uint qh = pack32(u16vec2(k_packed.k_data_packed16[k_offset + ib].qh[0],
+                                                 k_packed.k_data_packed16[k_offset + ib].qh[1]));
+#elif defined(DATA_A_Q5_1)
+                        uint qh = k_packed.k_data_packed16[k_offset + ib].qh;
+#endif
+                        [[unroll]] for (uint32_t d = 0; d < 4; d++) {
+#if defined(A_TYPE_PACKED32)
+                            uint vui = k_packed32.k_data_packed32[k_offset + ib].qs[d];
+#else
+                            uint vui = pack32(u16vec2(k_packed.k_data_packed16[k_offset + ib].qs[iqs / 2 + d * 2 + 0],
+                                                      k_packed.k_data_packed16[k_offset + ib].qs[iqs / 2 + d * 2 + 1]));
+#endif
+                            k_quants[d    ] = int32_t( vui       & 0x0F0F0F0F);
+                            k_quants[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F);
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                            uint qh_lo = (qh >> (d * 4)) & 0xF;
+                            uint qh_hi = (qh >> (d * 4 + 16)) & 0xF;
+                            k_quants[d    ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u);
+                            k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u);
+#endif
+                        }
+                    } else
+#endif
+                    {
+                        [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) {
+                            k_quants[d] = get_k_qs(ib, iqs + d * 4, k_offset);
+                        }
+                    }
+                }
+
+                [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                    const uint qib = tile_row(r) * qf_stride + (d_tid * (HSK_per_thread / 4) + d_block) / 8;
+                    const uint qiqs = (d_tid * (HSK_per_thread / 4) + d_block) % 8;
+
+                    int32_t acc = 0;
+                    [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) {
+                        acc += dotPacked4x8EXT(Qf[qib].qs[qiqs + d], k_quants[d]);
+                    }
+
+                    Sf[r][c] += ACC_TYPE(acc) * ACC_TYPE(Qf[qib].ds.x) * k_dm.x;
+                    if ((d_tid * (HSK_per_thread / 4) + d_block) % 8 == 0) {
+                        Sf[r][c] += k_dot_correction(qib, k_dm);
+                    }
+                }
+            }
+        }
+#endif // MMQ
 
         [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
             // Compute sum across the D_split
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
index 172d38f034e62a025af040a36671e250dee7b1c1..6f34924691548e6463bbf94b0f0a31d452aeb149 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
@@ -89,6 +89,11 @@ layout (binding = 1) readonly buffer K_PACKED16 {A_TYPE_PACKED16 k_data_packed16
 layout (binding = 2) readonly buffer V_PACKED16 {A_TYPE_PACKED16 v_data_packed16[];} v_packed;
 #endif
 
+#if defined(A_TYPE_PACKED32)
+layout (binding = 1) readonly buffer K_PACKED32 {A_TYPE_PACKED32 k_data_packed32[];} k_packed32;
+layout (binding = 2) readonly buffer V_PACKED32 {A_TYPE_PACKED32 v_data_packed32[];} v_packed32;
+#endif
+
 #ifndef BLOCK_SIZE
 #define BLOCK_SIZE 1
 #endif
@@ -110,7 +115,11 @@ FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
 
 #if defined(DATA_A_Q4_0)
 #define BLOCK_BYTE_SIZE 18
+#elif defined(DATA_A_Q4_1)
+#define BLOCK_BYTE_SIZE 20
+#endif
 
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1)
 FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
     if (binding_idx == BINDING_IDX_K) {
         uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
@@ -119,7 +128,12 @@ FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
         vui_lo >>= shift;
         vui_hi >>= shift;
 
-        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - FLOAT_TYPE(8.0f));
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q4_1
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * nibbles + FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f));
+#endif
     } else {
         uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
         uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
@@ -127,11 +141,100 @@ FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
         vui_lo >>= shift;
         vui_hi >>= shift;
 
-        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - FLOAT_TYPE(8.0f));
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q4_1
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * nibbles + FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f));
+#endif
     }
 }
 #endif
 
+#if defined(DATA_A_Q5_0)
+#define BLOCK_BYTE_SIZE 22
+#elif defined(DATA_A_Q5_1)
+#define BLOCK_BYTE_SIZE 24
+#endif
+
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+    if (binding_idx == BINDING_IDX_K) {
+        uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+#ifdef DATA_A_Q5_1
+        uint qh = k_packed.k_data_packed16[a_offset + ib].qh;
+#else
+        uint qh = uint(k_packed.k_data_packed16[a_offset + ib].qh[0]) | (uint(k_packed.k_data_packed16[a_offset + ib].qh[1]) << 16);
+#endif
+        FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) * FLOAT_TYPE(16.0f);
+
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q5_1
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles + hb) + FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f));
+#endif
+    } else {
+        uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+#ifdef DATA_A_Q5_1
+        uint qh = v_packed.v_data_packed16[a_offset + ib].qh;
+#else
+        uint qh = uint(v_packed.v_data_packed16[a_offset + ib].qh[0]) | (uint(v_packed.v_data_packed16[a_offset + ib].qh[1]) << 16);
+#endif
+        FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) * FLOAT_TYPE(16.0f);
+
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q5_1
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles + hb) + FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f));
+#endif
+    }
+}
+#endif
+
+
+#if defined(DATA_A_IQ4_NL)
+#define BLOCK_BYTE_SIZE 18
+
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+    if (binding_idx == BINDING_IDX_K) {
+        uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(
+            kvalues_iq4nl[vui_lo & 0xF],
+            kvalues_iq4nl[(vui_lo >> 8) & 0xF],
+            kvalues_iq4nl[vui_hi & 0xF],
+            kvalues_iq4nl[(vui_hi >> 8) & 0xF]);
+    } else {
+        uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(
+            kvalues_iq4nl[vui_lo & 0xF],
+            kvalues_iq4nl[(vui_lo >> 8) & 0xF],
+            kvalues_iq4nl[vui_hi & 0xF],
+            kvalues_iq4nl[(vui_hi >> 8) & 0xF]);
+    }
+}
+#endif
 #if defined(DATA_A_Q8_0)
 #define BLOCK_BYTE_SIZE 34
 FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl
new file mode 100644
index 0000000000000000000000000000000000000000..e14e62d546a355f1eb266c21846b6d7b762c2cf2
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl
@@ -0,0 +1,149 @@
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+#ifdef DATA_A_Q4_0
+    uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0],
+                              k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]));
+#else
+    uint vui = k_packed32.k_data_packed32[a_offset + ib].qs[(iqs & 0xF) / 4];
+#endif
+
+    uint shift = (iqs & 0x10) >> 2;
+    vui >>= shift;
+
+    return int32_t(vui & 0x0F0F0F0F);
+}
+#endif
+
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+#ifdef DATA_A_Q5_0
+    uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0],
+                              k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]));
+    uint qh = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qh[0],
+                             k_packed.k_data_packed16[a_offset + ib].qh[1]));
+#else
+    uint vui = k_packed32.k_data_packed32[a_offset + ib].qs[(iqs & 0xF) / 4];
+    uint qh = k_packed.k_data_packed16[a_offset + ib].qh;
+#endif
+
+    uint shift = (iqs & 0x10) >> 2;
+    vui >>= shift;
+
+    uint qh_bits = (qh >> iqs) & 0xF;
+    return int32_t(vui & 0x0F0F0F0F) | int32_t((qh_bits * 0x02040810u) & 0x10101010u);
+}
+#endif
+
+#if defined(DATA_A_Q8_0)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+    return pack32(i16vec2(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2], k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2 + 1]));
+}
+#endif
+
+#if defined(DATA_A_IQ4_NL)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+    uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0],
+                              k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]));
+    uint shift = (iqs & 0x10) >> 2;
+    vui >>= shift;
+
+    u8vec4 idx = unpack8(vui & 0x0F0F0F0F);
+    return pack32(i8vec4(kvalues_iq4nl_const[idx.x],
+                         kvalues_iq4nl_const[idx.y],
+                         kvalues_iq4nl_const[idx.z],
+                         kvalues_iq4nl_const[idx.w]));
+}
+#endif
+
+#if QUANT_AUXF == 1
+FLOAT_TYPE get_k_d(uint ib, uint a_offset) {
+    return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d);
+}
+#else
+FLOAT_TYPEV2 get_k_dm(uint ib, uint a_offset) {
+    return FLOAT_TYPEV2(k_packed32.k_data_packed32[a_offset + ib].dm);
+}
+#endif
+
+void k_block_to_shmem(const uint buf_ib, const uint global_ib, const uint iqs, const uint a_offset) {
+#if defined(DATA_A_Q4_0)
+    kblocksh[buf_ib].qs[iqs] = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                              k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+#elif defined(DATA_A_Q4_1)
+    kblocksh[buf_ib].qs[iqs] = k_packed32.k_data_packed32[a_offset + global_ib].qs[iqs];
+#elif defined(DATA_A_Q5_0)
+    kblocksh[buf_ib].qs[iqs] = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                              k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+    if (iqs == 0) {
+        kblocksh[buf_ib].qh = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qh[0],
+                                             k_packed.k_data_packed16[a_offset + global_ib].qh[1]));
+    }
+#elif defined(DATA_A_Q5_1)
+    kblocksh[buf_ib].qs[iqs] = k_packed32.k_data_packed32[a_offset + global_ib].qs[iqs];
+    if (iqs == 0) {
+        kblocksh[buf_ib].qh = k_packed.k_data_packed16[a_offset + global_ib].qh;
+    }
+#elif defined(DATA_A_Q8_0)
+    kblocksh[buf_ib].qs[iqs] = pack32(i16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                              k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+#elif defined(DATA_A_IQ4_NL)
+    const uint qs = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                   k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+    const u8vec4 i_a0 = unpack8( qs       & 0x0F0F0F0F);
+    const u8vec4 i_a1 = unpack8((qs >> 4) & 0x0F0F0F0F);
+    kblocksh[buf_ib].qs[iqs    ] = pack32(i8vec4(kvalues_iq4nl_const[i_a0.x], kvalues_iq4nl_const[i_a0.y],
+                                                 kvalues_iq4nl_const[i_a0.z], kvalues_iq4nl_const[i_a0.w]));
+    kblocksh[buf_ib].qs[iqs + 4] = pack32(i8vec4(kvalues_iq4nl_const[i_a1.x], kvalues_iq4nl_const[i_a1.y],
+                                                 kvalues_iq4nl_const[i_a1.z], kvalues_iq4nl_const[i_a1.w]));
+#endif
+
+    if (iqs == 0) {
+#if QUANT_AUXF == 1
+        kblocksh[buf_ib].dm = FLOAT_TYPE(k_packed.k_data_packed16[a_offset + global_ib].d);
+#else
+        kblocksh[buf_ib].dm = FLOAT_TYPEV2(k_packed32.k_data_packed32[a_offset + global_ib].dm);
+#endif
+    }
+}
+
+int32_t get_k_qs_shmem(const uint buf_ib, const uint pos) {
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1)
+    uint sub = pos % 4;
+    uint shift = ((pos % 8) >= 4) ? 4 : 0;
+    return int32_t((kblocksh[buf_ib].qs[sub] >> shift) & 0x0F0F0F0F);
+#elif defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+    uint sub = pos % 4;
+    uint shift = ((pos % 8) >= 4) ? 4 : 0;
+    int32_t result = int32_t((kblocksh[buf_ib].qs[sub] >> shift) & 0x0F0F0F0F);
+    uint qh_bits = (kblocksh[buf_ib].qh >> (pos * 4)) & 0xF;
+    return result | int32_t((qh_bits * 0x02040810u) & 0x10101010u);
+#elif defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL)
+    return kblocksh[buf_ib].qs[pos];
+#endif
+}
+
+ACC_TYPE k_dot_correction(const uint qib, const ACC_TYPEV2 k_dm) {
+#if defined(DATA_A_Q4_0)
+    return -ACC_TYPE(8.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x;
+#elif defined(DATA_A_Q5_0)
+    return -ACC_TYPE(16.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x;
+#elif defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
+    return ACC_TYPE(Qf[qib].ds.y) * k_dm.y;
+#else
+    return ACC_TYPE(0.0);
+#endif
+}
+
+void k_block_to_shmem_zero(const uint buf_ib, const uint iqs) {
+    kblocksh[buf_ib].qs[iqs] = 0;
+#if defined(DATA_A_IQ4_NL)
+    kblocksh[buf_ib].qs[iqs + 4] = 0;
+#endif
+    if (iqs == 0) {
+#if QUANT_AUXF == 1
+        kblocksh[buf_ib].dm = FLOAT_TYPE(0.0f);
+#else
+        kblocksh[buf_ib].dm = FLOAT_TYPEV2(0.0f);
+#endif
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp b/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp
index f008859b99da67d41230116dcc9db6848bc2d371..5e9f8308c1ded7cfca86a0b6f9ad1fe1facb5369 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp
@@ -1,11 +1,25 @@
 #version 450
 
 #extension GL_EXT_control_flow_attributes : require
-
+#extension GL_KHR_shader_subgroup_basic : enable
+#if USE_SUBGROUP_CLUSTERED
+#extension GL_KHR_shader_subgroup_clustered : enable
+#endif
+#if USE_SUBGROUP_ADD
+#extension GL_KHR_shader_subgroup_arithmetic : enable
+#endif
+
+// Caller guarantees valid spec constants: S_V % COLS_PER_WG == 0 and S_V % LANES_PER_COLUMN == 0,
+// so no bounds checking is needed.
 layout(constant_id = 0) const uint S_V = 128;
 layout(constant_id = 1) const uint KDA = 0;
+layout(constant_id = 2) const uint SUBGROUP_SIZE = 32;
+layout(constant_id = 3) const uint LANES_PER_COLUMN = 32;
+
+const uint COLS_PER_WG = SUBGROUP_SIZE / LANES_PER_COLUMN;
+const uint ROWS_PER_LANE = S_V / LANES_PER_COLUMN;
 
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+layout(local_size_x_id = 2, local_size_y = 1, local_size_z = 1) in;
 
 layout(push_constant) uniform Parameters {
     uint H;
@@ -27,14 +41,61 @@ layout(binding = 4) readonly  buffer BetaBuf  { FLOAT_TYPE data_beta[];  };
 layout(binding = 5) readonly  buffer StateBuf { FLOAT_TYPE data_state[]; };
 layout(binding = 6)           buffer DstBuf   { FLOAT_TYPE data_dst[];   };
 
-shared FLOAT_TYPE s_k[S_V];
-shared FLOAT_TYPE s_q[S_V];
-shared FLOAT_TYPE s_g[S_V]; // KDA only: cached exp(g[i])
+#if !USE_SUBGROUP_ADD && !USE_SUBGROUP_CLUSTERED
+shared FLOAT_TYPE temp[SUBGROUP_SIZE];
+
+// This does a reduction across groups of LANES_PER_COLUMN
+FLOAT_TYPE reduce_add_shmem(FLOAT_TYPE partial) {
+    const uint lane = gl_SubgroupInvocationID;
+    temp[lane] = partial;
+    barrier();
+    [[unroll]] for (uint s = LANES_PER_COLUMN / 2u; s > 0; s >>= 1u) {
+        FLOAT_TYPE other = temp[lane ^ s];
+        barrier();
+        temp[lane] += other;
+        barrier();
+    }
+    const FLOAT_TYPE result = temp[lane];
+    barrier();
+    return result;
+}
+#endif
+
+// clusterSize for subgroupClusteredAdd must be a compile-time constant; branch on spec constant
+FLOAT_TYPE reduce_partial(FLOAT_TYPE partial) {
+    switch (LANES_PER_COLUMN) {
+        case 1u:
+            return partial;
+#if USE_SUBGROUP_CLUSTERED
+        // Workaround for GLSL requiring a literal constant for the cluster size.
+        // The branches should all fold away.
+        case 2u:
+            return subgroupClusteredAdd(partial, 2u);
+        case 4u:
+            return subgroupClusteredAdd(partial, 4u);
+        case 8u:
+            return subgroupClusteredAdd(partial, 8u);
+        case 16u:
+            return subgroupClusteredAdd(partial, 16u);
+        case 32u:
+            return subgroupClusteredAdd(partial, 32u);
+        case 64u:
+            return subgroupClusteredAdd(partial, 64u);
+#endif
+        default:
+#if USE_SUBGROUP_ADD
+            return subgroupAdd(partial);
+#else
+            return reduce_add_shmem(partial);
+#endif
+    }
+}
 
 void main() {
     const uint head_id = gl_WorkGroupID.x;
-    const uint seq_id  = gl_WorkGroupID.y;
-    const uint col     = gl_LocalInvocationID.x;
+    const uint seq_id = gl_WorkGroupID.y;
+    const uint lane = gl_SubgroupInvocationID % LANES_PER_COLUMN;
+    const uint col = gl_WorkGroupID.z * COLS_PER_WG + (gl_SubgroupInvocationID / LANES_PER_COLUMN);
 
     const uint iq1 = head_id % neq1;
     const uint iq3 = seq_id / rq3;
@@ -42,9 +103,9 @@ void main() {
     const uint state_size = S_V * S_V;
     const uint state_base = (seq_id * H + head_id) * state_size;
 
-    FLOAT_TYPE state[S_V];
-    [[unroll]] for (uint i = 0; i < S_V; i++) {
-        state[i] = FLOAT_TYPE(data_state[state_base + col * S_V + i]);
+    FLOAT_TYPE s_shard[ROWS_PER_LANE];
+    [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+        s_shard[r] = FLOAT_TYPE(data_state[state_base + col * S_V + r * LANES_PER_COLUMN + lane]);
     }
 
     uint attn_off = (seq_id * n_tokens * H + head_id) * S_V;
@@ -53,76 +114,56 @@ void main() {
         const uint q_off = iq3 * sq3 + t * sq2 + iq1 * sq1;
         const uint k_off = q_off;
         const uint v_off = seq_id * sv3 + t * sv2 + head_id * sv1;
-
-        s_q[col] = FLOAT_TYPE(data_q[q_off + col]);
-        s_k[col] = FLOAT_TYPE(data_k[k_off + col]);
-
         const uint gb_off = seq_id * sb3 + t * sb2 + head_id * sb1;
+        const FLOAT_TYPE beta_val = FLOAT_TYPE(data_beta[gb_off]);
 
-        if (KDA != 0) {
-            const uint g_base = gb_off * S_V;
-            s_g[col] = exp(FLOAT_TYPE(data_g[g_base + col]));
+        FLOAT_TYPE k_reg[ROWS_PER_LANE];
+        FLOAT_TYPE q_reg[ROWS_PER_LANE];
+        [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+            const uint i = r * LANES_PER_COLUMN + lane;
+            k_reg[r] = FLOAT_TYPE(data_k[k_off + i]);
+            q_reg[r] = FLOAT_TYPE(data_q[q_off + i]);
         }
 
-        barrier();
-
-        const FLOAT_TYPE v_val = FLOAT_TYPE(data_v[v_off + col]);
-        const FLOAT_TYPE beta_val = FLOAT_TYPE(data_beta[gb_off]);
-
+        FLOAT_TYPE g_exp[ROWS_PER_LANE];
         if (KDA == 0) {
             const FLOAT_TYPE g_val = exp(FLOAT_TYPE(data_g[gb_off]));
-
-            FLOAT_TYPE kv_col = 0.0;
-            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
-                kv_col += dot(
-                    vec4(state[i], state[i+1], state[i+2], state[i+3]),
-                    vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3])
-                );
-            }
-
-            FLOAT_TYPE delta_col = (v_val - g_val * kv_col) * beta_val;
-
-            FLOAT_TYPE attn_col = 0.0;
-            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
-                vec4 sv = vec4(state[i], state[i+1], state[i+2], state[i+3]);
-                vec4 kv = vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3]);
-                sv = g_val * sv + kv * delta_col;
-                state[i] = sv.x; state[i+1] = sv.y; state[i+2] = sv.z; state[i+3] = sv.w;
-
-                attn_col += dot(sv, vec4(s_q[i], s_q[i+1], s_q[i+2], s_q[i+3]));
+            [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+                g_exp[r] = g_val;
             }
-
-            data_dst[attn_off + col] = attn_col * scale;
         } else {
-            FLOAT_TYPE kv_col = 0.0;
-            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
-                vec4 gv = vec4(s_g[i], s_g[i+1], s_g[i+2], s_g[i+3]);
-                vec4 sv = vec4(state[i], state[i+1], state[i+2], state[i+3]);
-                vec4 kv = vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3]);
-                kv_col += dot(gv * sv, kv);
+            const uint g_base = gb_off * S_V;
+            [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+                const uint i = r * LANES_PER_COLUMN + lane;
+                g_exp[r] = exp(FLOAT_TYPE(data_g[g_base + i]));
             }
+        }
+
+        const FLOAT_TYPE v_val = FLOAT_TYPE(data_v[v_off + col]);
 
-            FLOAT_TYPE delta_col = (v_val - kv_col) * beta_val;
+        FLOAT_TYPE kv_shard = 0.0;
+        [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+            kv_shard += g_exp[r] * s_shard[r] * k_reg[r];
+        }
+        FLOAT_TYPE kv_col = reduce_partial(kv_shard);
 
-            FLOAT_TYPE attn_col = 0.0;
-            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
-                vec4 gv = vec4(s_g[i], s_g[i+1], s_g[i+2], s_g[i+3]);
-                vec4 sv = vec4(state[i], state[i+1], state[i+2], state[i+3]);
-                vec4 kv = vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3]);
-                sv = gv * sv + kv * delta_col;
-                state[i] = sv.x; state[i+1] = sv.y; state[i+2] = sv.z; state[i+3] = sv.w;
+        FLOAT_TYPE delta_col = (v_val - kv_col) * beta_val;
 
-                attn_col += dot(sv, vec4(s_q[i], s_q[i+1], s_q[i+2], s_q[i+3]));
-            }
+        FLOAT_TYPE attn_partial = 0.0;
+        [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+            s_shard[r] = g_exp[r] * s_shard[r] + k_reg[r] * delta_col;
+            attn_partial += s_shard[r] * q_reg[r];
+        }
+        FLOAT_TYPE attn_col = reduce_partial(attn_partial);
 
+        if (lane == 0) {
             data_dst[attn_off + col] = attn_col * scale;
         }
 
         attn_off += S_V * H;
-        barrier();
     }
 
-    [[unroll]] for (uint i = 0; i < S_V; i++) {
-        data_dst[s_off + state_base + col * S_V + i] = state[i];
+    [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) {
+        data_dst[s_off + state_base + col * S_V + r * LANES_PER_COLUMN + lane] = s_shard[r];
     }
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl
index ba7909c4d3805b3b75c04b1a977c04fcb5fa9ba0..dc657f3c70844789e636ed330f60043f5f9f59db 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl
@@ -1,7 +1,6 @@
 #extension GL_EXT_shader_16bit_storage : require
 #extension GL_EXT_control_flow_attributes : require
 
-#include "rte.glsl"
 #include "utils.glsl"
 #if RMS_NORM_ROPE_FUSION
 #include "rope_params.glsl"
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl
index 2168989340b8c0863a54027e2625b92c1f69f822..d8fdd8f7b5e778fa815676e013760261bf717701 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl
@@ -1,6 +1,5 @@
 #extension GL_EXT_shader_16bit_storage : require
 
-#include "rte.glsl"
 
 layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
 
@@ -16,4 +15,14 @@ layout (push_constant) uniform parameter
     uint mode;
     float alpha;
     float limit;
+    uint nb01;
+    uint nb02;
+    uint nb03;
+    uint ne01;
+    uint ne02;
+    uint nb11;
+    uint nb12;
+    uint nb13;
+    uint ne11;
+    uint ne12;
 } p;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/glu_main.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/glu_main.glsl
index 85cf65a9ecac8d8f1076ec36200a9090581e060b..359461306a5d1b39ed8d665a61eaa786322902f0 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/glu_main.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/glu_main.glsl
@@ -8,22 +8,32 @@ void main() {
     const uint row = i / p.ne20;
     const uint col = i - row * p.ne20;
 
+    const uint i3 = row / (p.ne01 * p.ne02);
+    const uint i2 = (row % (p.ne01 * p.ne02)) / p.ne01;
+    const uint i1 = row % p.ne01;
+    const uint src_idx = i3 * p.nb03 + i2 * p.nb02 + i1 * p.nb01 + col;
+
+    const uint dst_i3 = row / (p.ne11 * p.ne12);
+    const uint dst_i2 = (row % (p.ne11 * p.ne12)) / p.ne11;
+    const uint dst_i1 = row % p.ne11;
+    const uint dst_idx = dst_i3 * p.nb13 + dst_i2 * p.nb12 + dst_i1 * p.nb11 + col;
+
     if (p.mode == 0) {
         // Default
         const uint offset = p.ne00 / 2;
-        const uint idx = row * p.ne00 + col;
+        const uint idx = src_idx;
 
-        data_d[row * offset + col] = D_TYPE(op(float(data_a[idx]), float(data_a[idx + offset])));
+        data_d[dst_idx] = D_TYPE(op(float(data_a[idx]), float(data_a[idx + offset])));
     } else if (p.mode == 1) {
         // Swapped
         const uint offset = p.ne00 / 2;
-        const uint idx = row * p.ne00 + col;
+        const uint idx = src_idx;
 
-        data_d[row * offset + col] = D_TYPE(op(float(data_a[idx + offset]), float(data_a[idx])));
+        data_d[dst_idx] = D_TYPE(op(float(data_a[idx + offset]), float(data_a[idx])));
     } else {
         // Split
-        const uint idx = row * p.ne00 + col;
+        const uint idx = src_idx;
 
-        data_d[idx] = D_TYPE(op(float(data_a[idx]), float(data_b[idx])));
+        data_d[dst_idx] = D_TYPE(op(float(data_a[idx]), float(data_b[idx])));
     }
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp b/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp
index db14f5a3cf3fedf792154ec67fa6f78739448815..ba4c2103f0c6f31d50d7324581168233f8185834 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp
@@ -3,7 +3,6 @@
 #extension GL_EXT_shader_16bit_storage : require
 #extension GL_EXT_control_flow_attributes : require
 
-#include "rte.glsl"
 #include "types.glsl"
 
 layout (push_constant) uniform parameter
@@ -14,7 +13,7 @@ layout (push_constant) uniform parameter
     uint IW; uint IH;
     uint OW; uint OH;
     uint KW; uint KH;
-    uint pelements;
+    uint OH_batch;
     uint CHW;
     int s0; int s1;
     int p0; int p1;
@@ -35,82 +34,60 @@ layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
 layout (buffer_reference) buffer D_ptr {D_TYPE d;};
 #endif
 
-void im2col(const uint y, const uint z) {
-    const uint gidx = gl_GlobalInvocationID.x;
+void im2col(const uint ow, const uint z_idx) {
+    const uint oh = z_idx % p.OH;
+    const uint batch_idx = z_idx / p.OH;
 
-    const uint oh = y;
-    const uint batch = z / p.IC;
-    const uint ic = z % p.IC;
+    const uint gidx = gl_LocalInvocationID.x;
+    const uint src_batch = batch_idx * p.batch_offset;
+    const BDA_OFFSET_T dst_row = ((BDA_OFFSET_T(batch_idx) * p.OH + oh) * p.OW + ow) * p.CHW;
 
-    const uint src_base = ic * p.offset_delta + batch * p.batch_offset;
-    const BDA_OFFSET_T dst_base = ((BDA_OFFSET_T(batch) * p.OH + oh) * p.OW) * p.CHW + BDA_OFFSET_T(ic) * (p.KW * p.KH);
-    const int oh_s1 = int(oh) * p.s1;
-    const uint ksize = p.OW * p.KH;
+    const uint KHKW = p.KH * p.KW;
 
-    const uint base_linear_idx = gidx * NUM_ITER;
+    uint wg_x = gl_WorkGroupID.x;
+    do {
+        const uint wg_offset = wg_x * 512;
 
-    uint current_kx = base_linear_idx / ksize;
-    const uint rem = base_linear_idx - (current_kx * ksize);
-    uint current_ky = rem / p.OW;
-    uint current_ix = rem % p.OW;
+        [[unroll]] for (uint i = 0; i < NUM_ITER; ++i) {
+            const uint chw_idx = wg_offset + gidx + i * BLOCK_SIZE;
 
-    A_TYPE values[NUM_ITER];
-    BDA_OFFSET_T offset_dst[NUM_ITER];
-    [[unroll]] for (uint idx = 0; idx < NUM_ITER; ++idx) {
-        values[idx] = A_TYPE(0);
-    }
-
-    [[unroll]] for (uint idx = 0; idx < NUM_ITER; ++idx) {
-
-        const uint linear_idx = base_linear_idx + idx;
-
-        if (linear_idx >= p.pelements) {
-            continue;
-        }
-
-        const uint iiw = current_ix * p.s0 + current_kx * p.d0 - p.p0;
-        const uint iih = oh_s1 + current_ky * p.d1 - p.p1;
-
-        offset_dst[idx] = dst_base + BDA_OFFSET_T(current_ix) * p.CHW + current_ky * p.KW + current_kx;
-
-        if ((iih < p.IH) && (iiw < p.IW)) {
-            values[idx] = data_a[src_base + iih * p.IW + iiw];
-        }
-
-        if (++current_ix == p.OW) {
-            current_ix = 0;
-            if (++current_ky == p.KH) {
-                current_ky = 0;
-                current_kx++;
+            if (chw_idx >= p.CHW) {
+                return;
             }
-        }
-    }
 
-    [[unroll]] for (uint idx = 0; idx < NUM_ITER; ++idx) {
+            const uint ic = chw_idx / KHKW;
+            const uint rem = chw_idx - ic * KHKW;
+            const uint ky = rem / p.KW;
+            const uint kx = rem - ky * p.KW;
 
-        const uint linear_idx = base_linear_idx + idx;
+            const uint iiw = ow * p.s0 + kx * p.d0 - p.p0;
+            const uint iih = oh * p.s1 + ky * p.d1 - p.p1;
 
-        if (linear_idx >= p.pelements) {
-            continue;
-        }
+            A_TYPE val = A_TYPE(0);
+            if (iih < p.IH && iiw < p.IW) {
+                val = data_a[src_batch + ic * p.offset_delta + iih * p.IW + iiw];
+            }
 
 #if BDA
-        D_ptr dst_addr = D_ptr(p.dst_addr + D_SIZE * offset_dst[idx]);
-        dst_addr.d = D_TYPE(values[idx]);
+            D_ptr out_ptr = D_ptr(p.dst_addr + D_SIZE * (dst_row + chw_idx));
+            out_ptr.d = D_TYPE(val);
 #else
-        data_d[offset_dst[idx]] = D_TYPE(values[idx]);
+            data_d[dst_row + chw_idx] = D_TYPE(val);
 #endif
-    }
+        }
+
+        wg_x += gl_NumWorkGroups.x;
+    } while (wg_x * 512 < p.CHW);
 }
 
 void main() {
-    uint y = gl_GlobalInvocationID.y;
-    while (y < p.OH) {
+    uint ow = gl_GlobalInvocationID.y;
+    while (ow < p.OW) {
         uint z = gl_GlobalInvocationID.z;
-        while (z < p.batch_IC) {
-            im2col(y, z);
+        while (z < p.OH_batch) {
+            im2col(ow, z);
             z += gl_NumWorkGroups.z;
         }
-        y += gl_NumWorkGroups.y;
+        ow += gl_NumWorkGroups.y;
     }
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp b/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp
index 4bf8b4ca0468c9fdd6417184f270ad7a947aa380..93f61fd85435fab92490a738323255880f9d4317 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp
@@ -4,7 +4,6 @@
 #extension GL_EXT_control_flow_attributes : require
 #extension GL_EXT_shader_explicit_arithmetic_types_int32 : require
 
-#include "rte.glsl"
 #include "types.glsl"
 
 layout (push_constant) uniform parameter
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/log.comp b/ggml/src/ggml-vulkan/vulkan-shaders/log.comp
index ff2812d3d752756de06eb4b2a1f39a59155f0a20..3cda6a63c45a1ff41aa015e9d8ad67088cb554e9 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/log.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/log.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "generic_unary_head.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl
index 337dbd796ad380281e342b17bb1b2455d54389b9..e8d053cdd4325189f0b3def989b05dcdc73c7bdd 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl
@@ -6,8 +6,8 @@
 #define MAT_VEC_FUSION_FLAGS_SCALE1 0x8
 
 layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-#if defined(A_TYPE_VEC4)
-layout (binding = 0) readonly buffer AV4 {A_TYPE_VEC4 data_a_v4[];};
+#if defined(A_TYPEV4)
+layout (binding = 0) readonly buffer AV4 {A_TYPEV4 data_a_v4[];};
 #endif
 #if defined(A_TYPE_PACKED16)
 layout (binding = 0) readonly buffer A_PACKED16 {A_TYPE_PACKED16 data_a_packed16[];};
@@ -17,11 +17,11 @@ layout (binding = 0) readonly buffer A_PACKED32 {A_TYPE_PACKED32 data_a_packed32
 #endif
 
 layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-#ifdef B_TYPE_VEC2
-layout (binding = 1) readonly buffer BV2 {B_TYPE_VEC2 data_b_v2[];};
+#ifdef B_TYPEV2
+layout (binding = 1) readonly buffer BV2 {B_TYPEV2 data_b_v2[];};
 #endif
-#ifdef B_TYPE_VEC4
-layout (binding = 1) readonly buffer BV4 {B_TYPE_VEC4 data_b_v4[];};
+#ifdef B_TYPEV4
+layout (binding = 1) readonly buffer BV4 {B_TYPEV4 data_b_v4[];};
 #endif
 
 layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp
index 619de054cb8be7849f3ae83c1078be84e40d3612..975cec8013f22a44a030fa00363484f838afb9c2 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp
@@ -41,7 +41,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint itid,
         const vec4 qs_u32_4 = vec4(unpack8((qs_u32 >> 4) & 0x03030303));
         const vec4 qs_u32_6 = vec4(unpack8((qs_u32 >> 6) & 0x03030303));
 
-        const FLOAT_TYPE_VEC2 dm = vec2(data_a[ib0 + i].dm);
+        const FLOAT_TYPEV2 dm = vec2(data_a[ib0 + i].dm);
 
         [[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
             vec2 b0 =   vec2(data_b_v2[(j*p.batch_stride_b + b_offset + y_idx) / 2 +  0]);
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp
index 6af5a81587d4dc5511fb4067d6daaabc6d468aa3..93fbacc6282c49358dfdac807f0358a2d64107aa 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp
@@ -14,7 +14,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint v_im,
 
     [[unroll]] for (uint n = 0; n < num_rows; ++n) {
         const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
-        const FLOAT_TYPE_VEC2 dm = FLOAT_TYPE_VEC2(data_a[ib0 + i].dm);
+        const FLOAT_TYPEV2 dm = FLOAT_TYPEV2(data_a[ib0 + i].dm);
 
         const uint32_t scale0_u32 = data_a_packed16[ib0 + i].scales[v_im    ];
         const uint32_t scale4_u32 = data_a_packed16[ib0 + i].scales[v_im + 2];
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp
index 3695b47b98d727829cb70b84d5b99faec019522e..54d7e1bcdca6703856ab3a9d8250e20d213f023b 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp
@@ -14,7 +14,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint v_im,
 
     [[unroll]] for (uint n = 0; n < num_rows; ++n) {
         const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
-        const FLOAT_TYPE_VEC2 dm = FLOAT_TYPE_VEC2(data_a[ib0 + i].dm);
+        const FLOAT_TYPEV2 dm = FLOAT_TYPEV2(data_a[ib0 + i].dm);
 
         const uint32_t scale0_u32 = data_a_packed16[ib0 + i].scales[v_im    ];
         const uint32_t scale4_u32 = data_a_packed16[ib0 + i].scales[v_im + 2];
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl
index 6ddbed309d7818a12594b0f7334757537b916f18..e99108dc50c9bfa47fa6636d9e38130b244cb48f 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl
@@ -11,8 +11,8 @@ FLOAT_TYPE get_dm(uint ib) {
 #endif
 
 #if defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
-FLOAT_TYPE_VEC2 get_dm(uint ib) {
-    return FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
+FLOAT_TYPEV2 get_dm(uint ib) {
+    return FLOAT_TYPEV2(data_a_packed32[ib].dm);
 }
 #endif
 
@@ -23,9 +23,9 @@ FLOAT_TYPE get_dm(uint ib) {
 #endif
 
 #if defined(DATA_A_Q2_K)
-FLOAT_TYPE_VEC2 get_dm(uint ib) {
+FLOAT_TYPEV2 get_dm(uint ib) {
     const uint ib_k = ib / 8;
-    return FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm);
+    return FLOAT_TYPEV2(data_a_packed32[ib_k].dm);
 }
 #endif
 
@@ -304,7 +304,7 @@ vec2 get_dm_scale(uint ib, uint iqs) {
                           (data_a[ib_k].scales[is+4] >>  4) | ((data_a[ib_k].scales[is  ] & 0xC0) >> 2));
     }
 
-    return FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm) * FLOAT_TYPE_VEC2(scale_dm);
+    return FLOAT_TYPEV2(data_a_packed32[ib_k].dm) * FLOAT_TYPEV2(scale_dm);
 }
 
 FLOAT_TYPE mmvq_dot_product(const uint ib_a, const uint iqs) {
@@ -422,7 +422,7 @@ vec2 get_dm(uint ib, uint iqs) {
     const float dl = d * float(2 * bitfieldExtract(qh, 12, 3) + 1);
 
     // the -1 cancels out the bias in iq1s_grid_gpu
-    return FLOAT_TYPE_VEC2(dl, dl * (delta - 1));
+    return FLOAT_TYPEV2(dl, dl * (delta - 1));
 }
 
 FLOAT_TYPE mmvq_dot_product(const uint ib_a, const uint iqs) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
index 23f3bd8d6d02669460da54b93670c02836913d91..89346e48e061673eb98b0b400ab041a3def2797f 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
@@ -125,8 +125,8 @@ layout (constant_id = 3) const uint BK = 16;  // Assumed to be 32 if working wit
 #define SHMEM_STRIDE (BK / 2 + 1)
 #endif
 
-shared FLOAT_TYPE_VEC2 buf_a[BM * SHMEM_STRIDE];
-shared FLOAT_TYPE_VEC2 buf_b[BN * SHMEM_STRIDE];
+shared FLOAT_TYPEV2 buf_a[BM * SHMEM_STRIDE];
+shared FLOAT_TYPEV2 buf_b[BN * SHMEM_STRIDE];
 
 #define NUM_WARPS (BLOCK_SIZE / WARP)
 
@@ -258,17 +258,17 @@ void main() {
         sums[i] = coopmat<ACC_TYPE, gl_ScopeSubgroup, TM, TN, gl_MatrixUseAccumulator>(0.0f);
     }
 #else
-    ACC_TYPE_VEC2 sums[WMITER * TM * WNITER * TN/2];
+    ACC_TYPEV2 sums[WMITER * TM * WNITER * TN/2];
 #if defined(DATA_A_F32) || defined(DATA_A_F16)
-    FLOAT_TYPE_VEC4 cache_a[WMITER * TM];
-    FLOAT_TYPE_VEC4 cache_b;
+    FLOAT_TYPEV4 cache_a[WMITER * TM];
+    FLOAT_TYPEV4 cache_b;
 #else
-    FLOAT_TYPE_VEC2 cache_a[WMITER * TM];
-    FLOAT_TYPE_VEC2 cache_b;
+    FLOAT_TYPEV2 cache_a[WMITER * TM];
+    FLOAT_TYPEV2 cache_b;
 #endif
 
     [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN/2; i++) {
-        sums[i] = ACC_TYPE_VEC2(0.0f, 0.0f);
+        sums[i] = ACC_TYPEV2(0.0f, 0.0f);
     }
 #endif
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl
index ce7f2d699a212b22b50c434e97d4c42df1c3cdea..6e4a29d2fddb03b6201991c7f3eccbd27b1888ae 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl
@@ -3,7 +3,7 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 #if LOAD_VEC_A == 8
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
-            FLOAT_TYPE_VEC8 aa = FLOAT_TYPE_VEC8(data_a[idx]);
+            FLOAT_TYPEV8 aa = FLOAT_TYPEV8(data_a[idx]);
             buf_a[buf_idx    ] = aa[0].xy;
             buf_a[buf_idx + 1] = aa[0].zw;
             buf_a[buf_idx + 2] = aa[1].xy;
@@ -11,38 +11,38 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 #elif LOAD_VEC_A == 4
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
-            FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(data_a[idx]);
+            FLOAT_TYPEV4 aa = FLOAT_TYPEV4(data_a[idx]);
             buf_a[buf_idx    ] = aa.xy;
             buf_a[buf_idx + 1] = aa.zw;
 #else // LOAD_VEC_BATCH_A == 2
             const uint idx = pos_a + col * p.stride_a + row * 2;
             const uint buf_idx = col * SHMEM_STRIDE + row;
             if (idx_m < p.M && block + row * 2 + 1 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx],
-                                                 data_a[idx + 1]);
+                buf_a[buf_idx] = FLOAT_TYPEV2(data_a[idx],
+                                              data_a[idx + 1]);
             } else if (idx_m < p.M && block + row * 2 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx], 0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(data_a[idx], 0.0f);
             } else {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 #elif defined(DATA_A_BF16)
 #if LOAD_VEC_A == 4
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
-            FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_a[idx]));
+            FLOAT_TYPEV4 aa = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_a[idx]));
             buf_a[buf_idx    ] = aa.xy;
             buf_a[buf_idx + 1] = aa.zw;
 #else // LOAD_VEC_BATCH_A == 2
             const uint idx = pos_a + col * p.stride_a + row * 2;
             const uint buf_idx = col * SHMEM_STRIDE + row;
             if (idx_m < p.M && block + row * 2 + 1 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]),
-                                                 TO_FLOAT_TYPE(data_a[idx + 1]));
+                buf_a[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_a[idx]),
+                                              TO_FLOAT_TYPE(data_a[idx + 1]));
             } else if (idx_m < p.M && block + row * 2 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
             } else {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 #elif defined(DATA_A_Q4_0)
@@ -57,10 +57,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 v0 = (vec4(unpack8(vui & 0x0F0F0F0F)) - 8.0f) * d;
             const vec4 v1 = (vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) - 8.0f) * d;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v0.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v0.zw);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v1.xy);
-            buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v0.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v0.zw);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(v1.xy);
+            buf_a[buf_idx + 9] = FLOAT_TYPEV2(v1.zw);
 #elif defined(DATA_A_Q4_1)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -73,10 +73,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 v0 = vec4(unpack8(vui & 0x0F0F0F0F)) * dm.x + dm.y;
             const vec4 v1 = vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) * dm.x + dm.y;
 
-            buf_a[buf_idx     ] = FLOAT_TYPE_VEC2(v0.xy);
-            buf_a[buf_idx + 1 ] = FLOAT_TYPE_VEC2(v0.zw);
-            buf_a[buf_idx + 8 ] = FLOAT_TYPE_VEC2(v1.xy);
-            buf_a[buf_idx + 9 ] = FLOAT_TYPE_VEC2(v1.zw);
+            buf_a[buf_idx     ] = FLOAT_TYPEV2(v0.xy);
+            buf_a[buf_idx + 1 ] = FLOAT_TYPEV2(v0.zw);
+            buf_a[buf_idx + 8 ] = FLOAT_TYPEV2(v1.xy);
+            buf_a[buf_idx + 9 ] = FLOAT_TYPEV2(v1.zw);
 #elif defined(DATA_A_Q5_0)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -92,8 +92,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint vui = uint(data_a_packed16[ib].qs[iqs]);
             const vec4 v = (vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, (vui >> 12) | qh1.y) - 16.0f) * d;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xz);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v.yw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xz);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(v.yw);
 #elif defined(DATA_A_Q5_1)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -112,10 +112,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 v0 = vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, ((vui >> 12) & 0xF) | qh1.y) * dm.x + dm.y;
             const vec4 v1 = vec4(((vui >> 16) & 0xF) | qh2.x, ((vui >> 20) & 0xF) | qh2.y, ((vui >> 24) & 0xF) | qh3.x, ((vui >> 28) & 0xF) | qh3.y) * dm.x + dm.y;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v0.xz);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v1.xz);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v0.yw);
-            buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.yw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v0.xz);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v1.xz);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(v0.yw);
+            buf_a[buf_idx + 9] = FLOAT_TYPEV2(v1.yw);
 #elif defined(DATA_A_Q8_0)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -128,8 +128,22 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const i8vec2 v1 = unpack8(int32_t(data_a_packed16[ib].qs[2*iqs + 1])).xy;
             const vec4 v = vec4(v0.x, v0.y, v1.x, v1.y) * d;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
+#elif defined(DATA_A_Q1_0)
+            const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
+            const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
+
+            const uint ib = idx / 16;
+            const uint iqs = idx & 0xfu;
+
+            const float d = float(data_a[ib].d);
+            const uint bits = uint(data_a[ib].qs[iqs]);
+
+            buf_a[buf_idx    ] = FLOAT_TYPEV2((bits & 0x01u) != 0u ? d : -d, (bits & 0x02u) != 0u ? d : -d);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2((bits & 0x04u) != 0u ? d : -d, (bits & 0x08u) != 0u ? d : -d);
+            buf_a[buf_idx + 2] = FLOAT_TYPEV2((bits & 0x10u) != 0u ? d : -d, (bits & 0x20u) != 0u ? d : -d);
+            buf_a[buf_idx + 3] = FLOAT_TYPEV2((bits & 0x40u) != 0u ? d : -d, (bits & 0x80u) != 0u ? d : -d);
 #elif defined(DATA_A_Q2_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -147,8 +161,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 
             const vec4 v = dm.x * float(scales & 0xF) * qs - dm.y * float(scales >> 4);
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
 #elif defined(DATA_A_Q3_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -171,8 +185,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec2 qs = vec2(unpack8((uint(data_a_packed16[ib].qs[qsi / 2]) >> qsshift) & 0x0303).xy);
             const vec2 hm = vec2(unpack8(((uint(data_a_packed16[ib].hmask[hmi / 2]) >> (4 * n + halfsplit)) & 0x0101 ^ 0x0101) << 2).xy);
 
-            buf_a[buf_idx] = FLOAT_TYPE_VEC2(dl * (qs.x - hm.x),
-                                             dl * (qs.y - hm.y));
+            buf_a[buf_idx] = FLOAT_TYPEV2(dl * (qs.x - hm.x),
+                                          dl * (qs.y - hm.y));
 #elif defined(DATA_A_Q4_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -206,8 +220,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 
             const vec4 q = vec4(unpack8((data_a_packed32[ib].qs[qsi / 4] >> (b * 4)) & 0x0F0F0F0F));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(fma(d, q.x, m), fma(d, q.y, m));
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(fma(d, q.z, m), fma(d, q.w, m));
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(fma(d, q.x, m), fma(d, q.y, m));
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(fma(d, q.z, m), fma(d, q.w, m));
 #elif defined(DATA_A_Q5_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -244,8 +258,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint qh = ((data_a_packed32[ib].qh[qhi / 4] >> (iqs / 16)) & 0x01010101) << 4;
             const vec4 q = vec4(unpack8(qs | qh));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(fma(d, q.x, m), fma(d, q.y, m));
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(fma(d, q.z, m), fma(d, q.w, m));
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(fma(d, q.x, m), fma(d, q.y, m));
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(fma(d, q.z, m), fma(d, q.w, m));
 #elif defined(DATA_A_Q6_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -267,7 +281,7 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint qh = (uint(data_a_packed16[ib].qh[qhi]) >> qhshift) & 0x0303;
             const vec2 q = (vec2(unpack8(ql | (qh << 4)).xy) - 32) * dscale;
 
-            buf_a[buf_idx] = FLOAT_TYPE_VEC2(q.x, q.y);
+            buf_a[buf_idx] = FLOAT_TYPEV2(q.x, q.y);
 #elif defined(DATA_A_IQ1_S)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -284,8 +298,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const int16_t grid = int16_t(iq1s_grid[qs | (bitfieldExtract(qh, 3 * int(ib8 & 3), 3) << 8)]);
 
             [[unroll]] for (int k = 0; k < 4; ++k) {
-                buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
-                                                     dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
+                buf_a[buf_idx + k] = FLOAT_TYPEV2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
+                                                  dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
             }
 #elif defined(DATA_A_IQ1_M)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
@@ -306,8 +320,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const int16_t grid = int16_t(iq1s_grid[qs | ((qh & 7) << 8)]);
 
             [[unroll]] for (int k = 0; k < 4; ++k) {
-                buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
-                                                     dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
+                buf_a[buf_idx + k] = FLOAT_TYPEV2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
+                                                  dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
             }
 #elif defined(DATA_A_IQ2_XXS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
@@ -332,14 +346,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 grid0 = vec4(unpack8(grid.x));
             const vec4 grid1 = vec4(unpack8(grid.y));
 
-            buf_a[buf_idx    ] = db * FLOAT_TYPE_VEC2((sign &   1) != 0 ? -grid0.x : grid0.x,
-                                                      (sign &   2) != 0 ? -grid0.y : grid0.y);
-            buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign &   4) != 0 ? -grid0.z : grid0.z,
-                                                      (sign &   8) != 0 ? -grid0.w : grid0.w);
-            buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign &  16) != 0 ? -grid1.x : grid1.x,
-                                                      (sign &  32) != 0 ? -grid1.y : grid1.y);
-            buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign &  64) != 0 ? -grid1.z : grid1.z,
-                                                      (sign & 128) != 0 ? -grid1.w : grid1.w);
+            buf_a[buf_idx    ] = db * FLOAT_TYPEV2((sign &   1) != 0 ? -grid0.x : grid0.x,
+                                                   (sign &   2) != 0 ? -grid0.y : grid0.y);
+            buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign &   4) != 0 ? -grid0.z : grid0.z,
+                                                   (sign &   8) != 0 ? -grid0.w : grid0.w);
+            buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign &  16) != 0 ? -grid1.x : grid1.x,
+                                                   (sign &  32) != 0 ? -grid1.y : grid1.y);
+            buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign &  64) != 0 ? -grid1.z : grid1.z,
+                                                   (sign & 128) != 0 ? -grid1.w : grid1.w);
 #elif defined(DATA_A_IQ2_XS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -358,14 +372,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 grid0 = vec4(unpack8(grid.x));
             const vec4 grid1 = vec4(unpack8(grid.y));
 
-            buf_a[buf_idx    ] = db * FLOAT_TYPE_VEC2((sign &   1) != 0 ? -grid0.x : grid0.x,
-                                                      (sign &   2) != 0 ? -grid0.y : grid0.y);
-            buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign &   4) != 0 ? -grid0.z : grid0.z,
-                                                      (sign &   8) != 0 ? -grid0.w : grid0.w);
-            buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign &  16) != 0 ? -grid1.x : grid1.x,
-                                                      (sign &  32) != 0 ? -grid1.y : grid1.y);
-            buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign &  64) != 0 ? -grid1.z : grid1.z,
-                                                      (sign & 128) != 0 ? -grid1.w : grid1.w);
+            buf_a[buf_idx    ] = db * FLOAT_TYPEV2((sign &   1) != 0 ? -grid0.x : grid0.x,
+                                                   (sign &   2) != 0 ? -grid0.y : grid0.y);
+            buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign &   4) != 0 ? -grid0.z : grid0.z,
+                                                   (sign &   8) != 0 ? -grid0.w : grid0.w);
+            buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign &  16) != 0 ? -grid1.x : grid1.x,
+                                                   (sign &  32) != 0 ? -grid1.y : grid1.y);
+            buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign &  64) != 0 ? -grid1.z : grid1.z,
+                                                   (sign & 128) != 0 ? -grid1.w : grid1.w);
 #elif defined(DATA_A_IQ2_S)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -386,14 +400,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 grid0 = vec4(unpack8(grid.x));
             const vec4 grid1 = vec4(unpack8(grid.y));
 
-            buf_a[buf_idx    ] = db * FLOAT_TYPE_VEC2((sign &   1) != 0 ? -grid0.x : grid0.x,
-                                                      (sign &   2) != 0 ? -grid0.y : grid0.y);
-            buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign &   4) != 0 ? -grid0.z : grid0.z,
-                                                      (sign &   8) != 0 ? -grid0.w : grid0.w);
-            buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign &  16) != 0 ? -grid1.x : grid1.x,
-                                                      (sign &  32) != 0 ? -grid1.y : grid1.y);
-            buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign &  64) != 0 ? -grid1.z : grid1.z,
-                                                      (sign & 128) != 0 ? -grid1.w : grid1.w);
+            buf_a[buf_idx    ] = db * FLOAT_TYPEV2((sign &   1) != 0 ? -grid0.x : grid0.x,
+                                                   (sign &   2) != 0 ? -grid0.y : grid0.y);
+            buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign &   4) != 0 ? -grid0.z : grid0.z,
+                                                   (sign &   8) != 0 ? -grid0.w : grid0.w);
+            buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign &  16) != 0 ? -grid1.x : grid1.x,
+                                                   (sign &  32) != 0 ? -grid1.y : grid1.y);
+            buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign &  64) != 0 ? -grid1.z : grid1.z,
+                                                   (sign & 128) != 0 ? -grid1.w : grid1.w);
 #elif defined(DATA_A_IQ3_XXS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -414,10 +428,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint grid = iq3xxs_grid[qs];
             const vec4 v = db * vec4(unpack8(grid));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2((sign &   1) != 0 ? -v.x : v.x,
-                                                 (sign &   2) != 0 ? -v.y : v.y);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign &   4) != 0 ? -v.z : v.z,
-                                                 (sign &   8) != 0 ? -v.w : v.w);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2((sign &   1) != 0 ? -v.x : v.x,
+                                              (sign &   2) != 0 ? -v.y : v.y);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2((sign &   4) != 0 ? -v.z : v.z,
+                                              (sign &   8) != 0 ? -v.w : v.w);
 #elif defined(DATA_A_IQ3_S)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -436,27 +450,28 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)];
             const vec4 v = db * vec4(unpack8(grid));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2((sign &   1) != 0 ? -v.x : v.x,
-                                                 (sign &   2) != 0 ? -v.y : v.y);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign &   4) != 0 ? -v.z : v.z,
-                                                 (sign &   8) != 0 ? -v.w : v.w);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2((sign &   1) != 0 ? -v.x : v.x,
+                                              (sign &   2) != 0 ? -v.y : v.y);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2((sign &   4) != 0 ? -v.z : v.z,
+                                              (sign &   8) != 0 ? -v.w : v.w);
 #elif defined(DATA_A_IQ4_XS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
 
-            const uint ib = idx / 128;                  // 2 values per idx
-            const uint ib32 = (idx % 128) / 16;         // 0..7
-            const uint iq = 16 * ib32 + 2 * (idx % 8);
+            const uint ib = idx / 64;            // 4 values per idx
+            const uint ib32 = (idx % 64) / 8;    // 0..7
+            const uint iq = 4 * ib32 + (idx % 4);
 
             const uint sl = (data_a[ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF;
             const uint sh = ((data_a[ib].scales_h) >> (2 * ib32)) & 3;
-            const uint qshift = (idx & 8) >> 1;
-            u8vec2 qs = unpack8((uint(data_a_packed16[ib].qs[iq/2]) >> qshift) & 0x0F0F).xy;
+            const uint qshift = idx & 4;
+            u8vec4 qs = unpack8((uint(data_a_packed32[ib].qs[iq]) >> qshift) & 0x0F0F0F0F);
 
             const float d = float(data_a[ib].d);
-            const vec2 v = d * float(int(sl | (sh << 4)) - 32) * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]);
+            const vec4 v = d * float(int(sl | (sh << 4)) - 32) * vec4(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y], kvalues_iq4nl[qs.z], kvalues_iq4nl[qs.w]);
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xy);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
 #elif defined(DATA_A_IQ4_NL)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -467,10 +482,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const FLOAT_TYPE d = FLOAT_TYPE(data_a_packed16[ib].d);
             const uint vui = uint(data_a_packed16[ib].qs[iqs]);
 
-            buf_a[buf_idx    ] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[vui & 0xF],
-                                                      kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
-            buf_a[buf_idx + 8] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
-                                                     kvalues_iq4nl[vui >> 12]);
+            buf_a[buf_idx    ] = d * FLOAT_TYPEV2(kvalues_iq4nl[vui & 0xF],
+                                                  kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
+            buf_a[buf_idx + 8] = d * FLOAT_TYPEV2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
+                                                  kvalues_iq4nl[vui >> 12]);
 #elif defined(DATA_A_MXFP4)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -482,10 +497,27 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint vui = uint(data_a[ib].qs[iqs]);
             const uint vui2 = uint(data_a[ib].qs[iqs+1]);
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui  & 0xF] * d,
-                                                 kvalues_mxfp4[vui2 & 0xF] * d);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui  >>  4] * d,
-                                                 kvalues_mxfp4[vui2 >>  4] * d);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(kvalues_mxfp4[vui  & 0xF] * d,
+                                              kvalues_mxfp4[vui2 & 0xF] * d);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(kvalues_mxfp4[vui  >>  4] * d,
+                                              kvalues_mxfp4[vui2 >>  4] * d);
+#elif defined(DATA_A_NVFP4)
+            const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
+            // lo and hi nibbles are 8 elements apart, which doesn't quite line up with
+            // how the thread mapping and buf_idx calculation works for other types.
+            const uint buf_idx = col * SHMEM_STRIDE + (row & 3) + (row & ~3) * 2;
+
+            const uint ib = idx / 16u;
+            const uint sub = (idx & 0xC) >> 2;
+            const uint iqs = (idx & 0xF) * 2;
+            const float d = ue4m3_to_fp32(data_a[ib].d[sub]) * 0.5;
+            const uint vui = uint(data_a[ib].qs[iqs]);
+            const uint vui2 = uint(data_a[ib].qs[iqs+1]);
+
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(kvalues_mxfp4[vui  & 0xF] * d,
+                                              kvalues_mxfp4[vui2 & 0xF] * d);
+            buf_a[buf_idx + 4] = FLOAT_TYPEV2(kvalues_mxfp4[vui  >>  4] * d,
+                                              kvalues_mxfp4[vui2 >>  4] * d);
 #endif
 }
 
@@ -495,7 +527,7 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             // Not supported for b_type bf16 because bf16mat2x4 does not exist
             const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
-            FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
+            FLOAT_TYPEV8 bb = FLOAT_TYPEV8(data_b[idx]);
             buf_b[buf_idx + 0] = bb[0].xy;
             buf_b[buf_idx + 1] = bb[0].zw;
             buf_b[buf_idx + 2] = bb[1].xy;
@@ -504,9 +536,9 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
 #if defined(DATA_B_BF16)
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_b[idx]));
 #else
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(data_b[idx]);
 #endif
             buf_b[buf_idx + 0] = bb.xy;
             buf_b[buf_idx + 1] = bb.zw;
@@ -514,12 +546,12 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const uint idx = pos_b + col * p.stride_b + row * 2;
             const uint buf_idx = col * SHMEM_STRIDE + row;
             if (idx_n < p.N && block + row * 2 + 1 < end_k) {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
-                                                 TO_FLOAT_TYPE(data_b[idx + 1]));
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]),
+                                              TO_FLOAT_TYPE(data_b[idx + 1]));
             } else if (idx_n < p.N && block + row * 2 < end_k) {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
             } else {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 }
@@ -530,7 +562,7 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const u16vec2 row_idx = row_ids[col];
             const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
-            FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
+            FLOAT_TYPEV8 bb = FLOAT_TYPEV8(data_b[idx]);
             buf_b[buf_idx + 0] = bb[0].xy;
             buf_b[buf_idx + 1] = bb[0].zw;
             buf_b[buf_idx + 2] = bb[1].xy;
@@ -540,9 +572,9 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
 #if defined(DATA_B_BF16)
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_b[idx]));
 #else
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(data_b[idx]);
 #endif
             buf_b[buf_idx + 0] = bb.xy;
             buf_b[buf_idx + 1] = bb.zw;
@@ -552,14 +584,14 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             if (row_i < _ne1 && block + row * 2 + 1 < end_k) {
                 const u16vec2 row_idx = row_ids[col];
                 const uint idx = pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
-                                                 TO_FLOAT_TYPE(data_b[idx + 1]));
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]),
+                                              TO_FLOAT_TYPE(data_b[idx + 1]));
             } else if (row_i < _ne1 && block + row * 2 < end_k) {
                 const u16vec2 row_idx = row_ids[col];
                 const uint idx = pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
             } else {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl
index 9c297d1c60d49dc67834549abd542c71e994a47f..59931b04b9413b7d028b689adc43acf254d3d1c5 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl
@@ -21,7 +21,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
     buf_a[buf_ib].qs[iqs] = data_a_packed32[ib].qs[iqs];
 
     if (iqs == 0) {
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib].dm);
     }
 #endif
 }
@@ -72,7 +72,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
     buf_a[buf_ib].qs[iqs] = data_a_packed32[ib].qs[iqs];
 
     if (iqs == 0) {
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib].dm);
         buf_a[buf_ib].qh = data_a_packed32[ib].qh;
     }
 #endif
@@ -203,7 +203,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
     buf_a[buf_ib].qs[iqs] = vals0 | (vals1 << 2) | (vals2 << 4) | (vals3 << 6);
 
     if (iqs == 0) {
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm);
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib_k].dm);
         buf_a[buf_ib].scales = unpack8(uint32_t(data_a_packed16[ib_k].scales[iqs_k / 8])).xy; // vec4 used due to #12147
     }
 }
@@ -264,7 +264,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
         const i8vec2 scales = i8vec2(unpack8(uint32_t(((data_a_packed16[ib_k].scales[(is % 8      ) / 2] >> (4 * (is / 8))) & 0x0F0F) |
                                                      (((data_a_packed16[ib_k].scales[(8 + (is % 4)) / 2] >> (2 * (is / 4))) & 0x0303) << 4))).xy); // vec4 used due to #12147
 
-        buf_a[buf_ib].d_scales = FLOAT_TYPE_VEC2(float(data_a_packed16[ib_k].d) * vec2(scales - 32));
+        buf_a[buf_ib].d_scales = FLOAT_TYPEV2(float(data_a_packed16[ib_k].d) * vec2(scales - 32));
     }
 }
 
@@ -334,7 +334,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
                               (data_a[ib_k].scales[is+4] >>  4) | ((data_a[ib_k].scales[is  ] & 0xC0) >> 2));
         }
 
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(vec2(data_a_packed32[ib_k].dm) * vec2(scale_dm));
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(vec2(data_a_packed32[ib_k].dm) * vec2(scale_dm));
     }
 }
 
@@ -385,7 +385,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
         const uint is = iqs_k / 4;
         const i8vec2 scales = unpack8(int32_t(data_a_packed16[ib_k].scales[is / 2])).xy;
 
-        buf_a[buf_ib].d_scales = FLOAT_TYPE_VEC2(float(data_a_packed16[ib_k].d) * vec2(scales));
+        buf_a[buf_ib].d_scales = FLOAT_TYPEV2(float(data_a_packed16[ib_k].d) * vec2(scales));
     }
 }
 
@@ -426,7 +426,7 @@ void block_b_to_shmem(const uint buf_ib, const uint ib, const uint iqs, const bo
         const uint ib_inner = ib % 4;
 
         if (iqs == 0) {
-            buf_b[buf_ib].ds = FLOAT_TYPE_VEC2(data_b[ib_outer].ds[ib_inner]);
+            buf_b[buf_ib].ds = FLOAT_TYPEV2(data_b[ib_outer].ds[ib_inner]);
         }
 
         const ivec4 values = data_b[ib_outer].qs[ib_inner * 2 + iqs];
@@ -436,7 +436,7 @@ void block_b_to_shmem(const uint buf_ib, const uint ib, const uint iqs, const bo
         buf_b[buf_ib].qs[iqs * 4 + 3] = values.w;
     } else {
         if (iqs == 0) {
-            buf_b[buf_ib].ds = FLOAT_TYPE_VEC2(0.0f);
+            buf_b[buf_ib].ds = FLOAT_TYPEV2(0.0f);
         }
 
         buf_b[buf_ib].qs[iqs * 4    ] = 0;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl
index 1c0f5306f3865da311ae8c322b3f8a1aec83f98c..10552d013a2e197a9be57b264c7ecd67c0111a0d 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl
@@ -8,7 +8,7 @@ struct block_a_cache {
 #define QUANT_R_MMQ 2
 struct block_a_cache {
     uint32_t qs[16/4];
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q5_0)
 #define QUANT_R_MMQ 2
@@ -22,7 +22,7 @@ struct block_a_cache {
 struct block_a_cache {
     uint32_t qs[16/4];
     uint32_t qh;
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q8_0)
 #define QUANT_R_MMQ 1
@@ -32,6 +32,12 @@ struct block_a_cache {
     int32_t qs[32/4];
     FLOAT_TYPE dm;
 };
+#elif defined(DATA_A_IQ4_NL)
+#define QUANT_R_MMQ 2
+struct block_a_cache {
+    int32_t qs[8];
+    FLOAT_TYPE dm;
+};
 #elif defined(DATA_A_MXFP4)
 #define QUANT_R_MMQ 2
 struct block_a_cache {
@@ -43,36 +49,36 @@ struct block_a_cache {
 struct block_a_cache {
     uint32_t qs[2];
     u8vec2 scales;
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q3_K)
 #define QUANT_R_MMQ 2
 struct block_a_cache {
     uint32_t qs[4];
-    FLOAT_TYPE_VEC2 d_scales;
+    FLOAT_TYPEV2 d_scales;
 };
 #elif defined(DATA_A_Q4_K)
 #define QUANT_R_MMQ 2
 struct block_a_cache {
     uint32_t qs[4];
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q5_K)
 #define QUANT_R_MMQ 1
 struct block_a_cache {
     int32_t qs[8];
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q6_K)
 #define QUANT_R_MMQ 1
 struct block_a_cache {
     int32_t qs[8];
-    FLOAT_TYPE_VEC2 d_scales;
+    FLOAT_TYPEV2 d_scales;
 };
 #endif
 
 struct block_b_cache
 {
     int32_t qs[8];
-    FLOAT_TYPE_VEC2 ds;
+    FLOAT_TYPEV2 ds;
 };
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp b/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp
index 10cf5202a4a37da22aad66f7ee564067122920bb..26d194e9e8de97552e24f11ca15e2227e145c012 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp
@@ -8,7 +8,6 @@
 #extension GL_KHR_shader_subgroup_basic : enable
 #endif
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "utils.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl
index d9b4d4c03f34fc04d0243da8bfadf05637c59ac9..51a127bcd87c0a9664bb502c4a7a22eab03fdc82 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl
@@ -2,7 +2,6 @@
 
 #extension GL_EXT_shader_16bit_storage : require
 
-#include "rte.glsl"
 #include "rope_params.glsl"
 
 layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl
index ec6ceaca9bda4a39017fa2feaa1e0c3b3cb94ece..2e2a7e14c66233723fe6ed3ea3b0cc710cfcae0f 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl
@@ -1,8 +1,6 @@
 #if !defined(GGML_ROPE_PARAMS)
 #define GGML_ROPE_PARAMS
 
-#include "rte.glsl"
-
 struct rope_params {
     uint rope_mode;
     uint nrows;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/rte.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/rte.glsl
deleted file mode 100644
index ad51c1e80b856990eb3113e195031482db0e4f61..0000000000000000000000000000000000000000
--- a/ggml/src/ggml-vulkan/vulkan-shaders/rte.glsl
+++ /dev/null
@@ -1,5 +0,0 @@
-
-#if RTE16
-#extension GL_EXT_spirv_intrinsics : enable
-spirv_execution_mode(capabilities = [4467], 4462, 16); // RoundingModeRTE, 16 bits
-#endif // RTE16
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp b/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp
index e18d0ffa307ff8efcb134a394bae4700d7f4b181..f9b78f96072b4144c7477aab258af08864a831a3 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "generic_unary_head.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl
index bdb2c09259b20149619dbbf10899e1e2b881f276..4bcd97756fdc0c3c7c506f7078c047f4142be6f5 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl
@@ -188,6 +188,22 @@ struct block_q8_0_packed16
 #define DATA_A_QUANT_LEGACY
 #endif
 
+#define QUANT_K_Q1_0 128
+#define QUANT_R_Q1_0 1
+
+struct block_q1_0
+{
+    float16_t d;
+    uint8_t qs[QUANT_K_Q1_0 / 8];
+};
+
+#if defined(DATA_A_Q1_0)
+#define QUANT_K QUANT_K_Q1_0
+#define QUANT_R QUANT_R_Q1_0
+#define QUANT_AUXF 1
+#define A_TYPE block_q1_0
+#endif
+
 #define QUANT_K_Q8_1 32
 #define QUANT_R_Q8_1 1
 
@@ -1676,6 +1692,7 @@ struct block_iq4_nl_packed16
 #if defined(DATA_A_IQ4_NL)
 #define QUANT_K QUANT_K_IQ4_NL
 #define QUANT_R QUANT_R_IQ4_NL
+#define QUANT_AUXF 1
 #define A_TYPE block_iq4_nl
 #define A_TYPE_PACKED16 block_iq4_nl_packed16
 #endif
@@ -1696,6 +1713,22 @@ struct block_mxfp4
 #define A_TYPE block_mxfp4
 #endif
 
+#define QUANT_K_NVFP4 64
+#define QUANT_R_NVFP4 1
+
+struct block_nvfp4
+{
+    uint8_t d[QUANT_K_NVFP4 / 16];
+    uint8_t qs[QUANT_K_NVFP4 / 2];
+};
+
+#if defined(DATA_A_NVFP4)
+#define QUANT_K QUANT_K_NVFP4
+#define QUANT_R QUANT_R_NVFP4
+#define QUANT_AUXF 1
+#define A_TYPE block_nvfp4
+#endif
+
 #if defined(DATA_A_IQ4_NL) || defined(DATA_A_IQ4_XS)
 const int8_t kvalues_iq4nl_const[16] = {
     int8_t(-127), int8_t(-104), int8_t(-83), int8_t(-65), int8_t(-49), int8_t(-35), int8_t(-22), int8_t(-10),
@@ -1715,7 +1748,7 @@ void init_iq_shmem(uvec3 wgsize)
 }
 #endif
 
-#if defined(DATA_A_MXFP4)
+#if defined(DATA_A_MXFP4) || defined(DATA_A_NVFP4)
 const int8_t kvalues_mxfp4_const[16] = {
     int8_t(0), int8_t(1), int8_t(2), int8_t(3), int8_t(4), int8_t(6), int8_t(8), int8_t(12),
     int8_t(0), int8_t(-1), int8_t(-2), int8_t(-3), int8_t(-4), int8_t(-6), int8_t(-8), int8_t(-12),
@@ -1723,6 +1756,24 @@ const int8_t kvalues_mxfp4_const[16] = {
 
 shared int8_t kvalues_mxfp4[16];
 
+#if defined(DATA_A_NVFP4)
+// UE4M3 scale in NVFP4 blocks use only 7 bits; sign (bit 7) is always zero.
+shared float ue4m3_fp32_lut[128];
+
+float ue4m3_to_fp32_build(uint u) {
+    if (u == 0u || u == 127u) {
+        return 0.0;
+    }
+    const uint exp = (u >> 3) & 15u;
+    const uint man = u & 7u;
+    if (exp == 0u) {
+        return float(man) * (1.0 / 512.0);
+    }
+    const uint bits = (exp + 120u) << 23 | (man << 20);
+    return uintBitsToFloat(bits);
+}
+#endif
+
 #define NEEDS_INIT_IQ_SHMEM
 void init_iq_shmem(uvec3 wgsize)
 {
@@ -1730,6 +1781,11 @@ void init_iq_shmem(uvec3 wgsize)
     for (uint i = gl_LocalInvocationIndex.x; i < kvalues_mxfp4.length(); i += wgsize.x) {
         kvalues_mxfp4[i] = kvalues_mxfp4_const[i];
     }
+#if defined(DATA_A_NVFP4)
+    for (uint i = gl_LocalInvocationIndex.x; i < 128u; i += wgsize.x) {
+        ue4m3_fp32_lut[i] = ue4m3_to_fp32_build(i);
+    }
+#endif
     barrier();
 }
 #endif
@@ -1766,6 +1822,12 @@ float e8m0_to_fp32(uint8_t x) {
     return uintBitsToFloat(bits);
 }
 
+#if defined(DATA_A_NVFP4)
+float ue4m3_to_fp32(uint8_t x) {
+    return ue4m3_fp32_lut[uint(x)];
+}
+#endif
+
 #if BDA
 
 #extension GL_EXT_buffer_reference : enable
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
index 4b00ba3debb8091eb0c83c67c41d63d4bf031d5b..ff8366153307e7bf7e43fe1d74759c2248578abe 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
@@ -45,6 +45,7 @@ std::string target_cpp = "";
 const std::vector<std::string> type_names = {
     "f32",
     "f16",
+    "q1_0",
     "q4_0",
     "q4_1",
     "q5_0",
@@ -65,6 +66,7 @@ const std::vector<std::string> type_names = {
     "iq4_xs",
     "iq4_nl",
     "mxfp4",
+    "nvfp4",
     "bf16",
 };
 
@@ -137,6 +139,7 @@ void execute_command(std::vector<std::string>& command, std::string& stdout_str,
 
     pid_t pid = fork();
     if (pid < 0) {
+        std::cerr << strerror(errno) << "\n";
         throw std::runtime_error("Failed to fork process");
     }
 
@@ -404,8 +407,8 @@ std::map<std::string, std::string> merge_maps(const std::map<std::string, std::s
 }
 
 static std::vector<std::future<void>> compiles;
-void string_to_spv(std::string name, const std::string& source, const std::map<std::string, std::string>& defines, bool fp16 = true, bool coopmat = false, bool coopmat2 = false, bool f16acc = false) {
-    name = name + (f16acc ? "_f16acc" : "") + (coopmat ? "_cm1" : "") + (coopmat2 ? "_cm2" : (fp16 ? "" : "_fp32"));
+void string_to_spv(std::string name, const std::string& source, const std::map<std::string, std::string>& defines, bool fp16 = true, bool coopmat = false, bool coopmat2 = false, bool f16acc = false, const std::string& suffix = "") {
+    name = name + (f16acc ? "_f16acc" : "") + (coopmat ? "_cm1" : "") + (coopmat2 ? "_cm2" : (fp16 ? "" : "_fp32")) + suffix;
     std::string out_path = join_paths(output_dir, name + ".spv");
 
     if (input_filepath == "") {
@@ -445,8 +448,8 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
         base_dict["FLOAT16"] = "1";
     }
 
-    base_dict["ACC_TYPE"     ] = f16acc ? "float16_t" : "float";
-    base_dict["ACC_TYPE_VEC2"] = f16acc ? "f16vec2"   : "vec2";
+    base_dict["ACC_TYPE"  ] = f16acc ? "float16_t" : "float";
+    base_dict["ACC_TYPEV2"] = f16acc ? "f16vec2"   : "vec2";
     if (f16acc) {
         base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
     }
@@ -513,10 +516,10 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
     };
 
     const std::map<std::string, std::string> float_type_dict_f16 = {
-        {"FLOAT_TYPE",      FLOAT_TYPE(1, "f16")},
-        {"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, "f16")},
-        {"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, "f16")},
-        {"FLOAT_TYPE_VEC8", FLOAT_TYPE(8, "f16")},
+        {"FLOAT_TYPE",   FLOAT_TYPE(1, "f16")},
+        {"FLOAT_TYPEV2", FLOAT_TYPE(2, "f16")},
+        {"FLOAT_TYPEV4", FLOAT_TYPE(4, "f16")},
+        {"FLOAT_TYPEV8", FLOAT_TYPE(8, "f16")},
     };
 
     // Shaders with f16 B_TYPE
@@ -535,9 +538,9 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
         std::string to_float_type = (coopmat || coopmat2) ? "uintBitsToBFloat16EXT" : "bf16_to_fp32";
 
         const std::map<std::string, std::string> float_type_dict_bf16 = {
-            {"FLOAT_TYPE",      FLOAT_TYPE(1, "bf16")},
-            {"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, "bf16")},
-            {"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, "bf16")},
+            {"FLOAT_TYPE",   FLOAT_TYPE(1, "bf16")},
+            {"FLOAT_TYPEV2", FLOAT_TYPE(2, "bf16")},
+            {"FLOAT_TYPEV4", FLOAT_TYPE(4, "bf16")},
         };
 
         // If bfloat16 is not supported, then only compile the scalar (promote to fp32) shader
@@ -552,9 +555,9 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
 
     for (const auto& tname : type_names) {
         std::string load_vec_quant = "2";
-        if ((tname == "q4_0") || (tname == "q4_1") || (tname == "q5_1") || (tname == "iq1_s") || (tname == "iq1_m") || (tname == "iq2_xxs") || (tname == "iq2_xs") || (tname == "iq2_s"))
+        if ((tname == "q1_0") || (tname == "q4_0") || (tname == "q4_1") || (tname == "q5_1") || (tname == "iq1_s") || (tname == "iq1_m") || (tname == "iq2_xxs") || (tname == "iq2_xs") || (tname == "iq2_s"))
             load_vec_quant = "8";
-        else if ((tname == "q5_0") || (tname == "q8_0") || (tname == "q2_k") || (tname == "q4_k") || (tname == "q5_k") || (tname == "iq3_xxs") || (tname == "iq3_s") || (tname == "iq4_nl") || (tname == "mxfp4"))
+        else if ((tname == "q5_0") || (tname == "q8_0") || (tname == "q2_k") || (tname == "q4_k") || (tname == "q5_k") || (tname == "iq3_xxs") || (tname == "iq3_s") || (tname == "iq4_xs") || (tname == "iq4_nl") || (tname == "mxfp4") || (tname == "nvfp4"))
             load_vec_quant = "4";
 
         if (tname == "bf16") {
@@ -568,10 +571,10 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
         std::string load_vec_a = (coopmat2 || tname == "f32" || tname == "f16" || tname == "bf16") ? load_vec : load_vec_quant;
 
         const std::map<std::string, std::string> float_type_dict = {
-            {"FLOAT_TYPE",      FLOAT_TYPE(1, tname)},
-            {"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, tname)},
-            {"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, tname)},
-            {"FLOAT_TYPE_VEC8", FLOAT_TYPE(8, tname)},
+            {"FLOAT_TYPE",   FLOAT_TYPE(1, tname)},
+            {"FLOAT_TYPEV2", FLOAT_TYPE(2, tname)},
+            {"FLOAT_TYPEV4", FLOAT_TYPE(4, tname)},
+            {"FLOAT_TYPEV8", FLOAT_TYPE(8, tname)},
         };
 
         // don't generate f32 variants for coopmat2
@@ -623,15 +626,16 @@ void process_shaders() {
     for (const bool& fp16 : {false, true}) {
         std::map<std::string, std::string> base_dict;
         if (fp16) {
-            base_dict = {{"FLOAT_TYPE", "float16_t"}, {"FLOAT_TYPEV4", "f16vec4"}, {"FLOAT16", "1"}, {"FLOAT_TYPE_MAX", "float16_t(65504.0)"}};
+            base_dict = {{"FLOAT_TYPE", "float16_t"}, {"FLOAT_TYPEV2", "f16vec2"}, {"FLOAT_TYPEV4", "f16vec4"}, {"FLOAT16", "1"}, {"FLOAT_TYPE_MAX", "float16_t(65504.0)"}};
         } else {
-            base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV4", "vec4"}};
+            base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"FLOAT_TYPEV4", "vec4"}};
         }
 
         // flash attention
         for (const bool& f16acc : {false, true}) {
             std::map<std::string, std::string> fa_base_dict = base_dict;
             fa_base_dict["ACC_TYPE"] = fp16 && f16acc ? "float16_t" : "float";
+            fa_base_dict["ACC_TYPEV2"] = fp16 && f16acc ? "f16vec2" : "vec2";
             fa_base_dict["ACC_TYPEV4"] = fp16 && f16acc ? "f16vec4" : "vec4";
             if (fp16 && f16acc) {
                 fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
@@ -655,7 +659,7 @@ void process_shaders() {
                 if (tname == "f16") {
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
                         merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
-                } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
+                } else if (tname == "q4_0" || tname == "q4_1" || tname == "q5_0" || tname == "q5_1" || tname == "iq4_nl" || tname == "q8_0" || tname == "f32") {
                     std::string data_a_key = "DATA_A_" + to_uppercase(tname);
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
                         merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
@@ -666,45 +670,51 @@ void process_shaders() {
                 if (tname == "f16") {
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
                         merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, false, f16acc);
-                } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
+                } else if (tname == "q4_0" || tname == "q4_1" || tname == "q5_0" || tname == "q5_1" || tname == "iq4_nl" || tname == "q8_0" || tname == "f32") {
                     std::string data_a_key = "DATA_A_" + to_uppercase(tname);
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
                         merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, false, f16acc);
+#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
+                    if (tname != "f32") {
+                        string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
+                            merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }, {"MMQ", "1"}}), fp16, false, false, f16acc, "_int8");
+                    }
+#endif
                 }
             }
         }
     }
 
-    std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
+    std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}};
 
     for (const auto& tname : type_names) {
         // mul mat vec
         std::string data_a_key = "DATA_A_" + to_uppercase(tname);
         std::string shader = (string_ends_with(tname, "_k") || string_starts_with(tname, "iq1_") || string_starts_with(tname, "iq2_") || string_starts_with(tname, "iq3_")) ? "mul_mat_vec_" + tname + ".comp" : "mul_mat_vec.comp";
 
-        string_to_spv("mul_mat_vec_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}}));
-        string_to_spv("mul_mat_vec_" + tname + "_f16_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f16_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}}));
 
-        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
 
-        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
-        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
 
-        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}}));
-        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}}));
+        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
 
         // mul mat vec with integer dot product
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (is_legacy_quant(tname) || tname == "mxfp4" || is_k_quant(tname) || tname == "iq1_s" || tname == "iq1_m") {
-            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}}));
-            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}}));
+            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
 
-            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}}));
-            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}}));
+            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
         }
 #endif
 
@@ -725,9 +735,9 @@ void process_shaders() {
 
     string_to_spv("get_rows_i32", "get_rows.comp", {{"TEMP_TYPE", "uint"}, {"A_TYPE", "uint"}, {"B_TYPE", "int"}, {"D_TYPE", "uint"}});
 
-    string_to_spv("mul_mat_vec_p021_f16_f32_subgroup_add", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
-    string_to_spv("mul_mat_vec_p021_f16_f32",              "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}});
-    string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}});
+    string_to_spv("mul_mat_vec_p021_f16_f32_subgroup_add", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
+    string_to_spv("mul_mat_vec_p021_f16_f32",              "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}});
+    string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}});
 
     // Norms
     string_to_spv("norm_f32", "norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
@@ -735,7 +745,7 @@ void process_shaders() {
     string_to_spv("rms_norm_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
     string_to_spv("rms_norm_partials_f32", "rms_norm_partials.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
     string_to_spv("rms_norm_mul_rope_f32_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float"}, {"RMS_NORM_ROPE_FUSION", "1"}}));
-    string_to_spv("rms_norm_mul_rope_f32_f16_rte", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RMS_NORM_ROPE_FUSION", "1"}, {"RTE16", "1"}}));
+    string_to_spv("rms_norm_mul_rope_f32_f16", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RMS_NORM_ROPE_FUSION", "1"}}));
     string_to_spv("rms_norm_back_f32", "rms_norm_back.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
     string_to_spv("l2_norm_f32", "l2_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
 
@@ -757,17 +767,14 @@ void process_shaders() {
     string_to_spv("cpy_transpose_16", "copy_transpose.comp", {{"A_TYPE", "uint16_t"}, {"D_TYPE", "uint16_t"}});
     string_to_spv("cpy_transpose_32", "copy_transpose.comp", {{"A_TYPE", "uint"}, {"D_TYPE", "uint"}});
 
-    for (std::string t : {"q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
+    for (std::string t : {"q1_0", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
         string_to_spv("cpy_f32_" + t, "copy_to_quant.comp", {{"DATA_A_" + to_uppercase(t), "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
-        string_to_spv("cpy_f32_" + t + "_rte", "copy_to_quant.comp", {{"DATA_A_" + to_uppercase(t), "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}});
         string_to_spv("cpy_" + t + "_f32", "copy_from_quant.comp", {{"DATA_A_" + to_uppercase(t), "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     }
 
-    for (std::string t : {"f32", "f16", "bf16", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
-        string_to_spv("set_rows_" + t + "_i32",     "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uint"}, {"B_SIZE", "32"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
-        string_to_spv("set_rows_" + t + "_i32_rte", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uint"}, {"B_SIZE", "32"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}});
-        string_to_spv("set_rows_" + t + "_i64",     "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uvec2"}, {"B_SIZE", "64"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
-        string_to_spv("set_rows_" + t + "_i64_rte", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uvec2"}, {"B_SIZE", "64"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}});
+    for (std::string t : {"f32", "f16", "bf16", "q1_0", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
+        string_to_spv("set_rows_" + t + "_i32", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uint"}, {"B_SIZE", "32"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
+        string_to_spv("set_rows_" + t + "_i64", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uvec2"}, {"B_SIZE", "64"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     }
 
     auto get_type_str = [](bool f16) {
@@ -784,12 +791,10 @@ void process_shaders() {
     for (auto src0_f16 : {false, true}) {
     for (auto src1_f16 : {false, true}) {
     for (auto dst_f16  : {false, true}) {
-    for (auto rte      : {false, true}) {
         auto source = op == "add_rms" ? std::string("add") : op;
-        auto name = op + get_suffix(src0_f16, src1_f16, dst_f16) + (rte ? "_rte" : "");
+        auto name = op + get_suffix(src0_f16, src1_f16, dst_f16);
         auto add_rms = op == "add_rms" ? "1" : "0";
-        string_to_spv(name.c_str(), source + ".comp", {{"A_TYPE", get_type_str(src0_f16)}, {"B_TYPE", get_type_str(src1_f16)}, {"D_TYPE", get_type_str(dst_f16)}, {"FLOAT_TYPE", "float"}, {"RTE16", rte ? "1" : "0"}, {"ADD_RMS" , add_rms}});
-    }
+        string_to_spv(name.c_str(), source + ".comp", {{"A_TYPE", get_type_str(src0_f16)}, {"B_TYPE", get_type_str(src1_f16)}, {"D_TYPE", get_type_str(dst_f16)}, {"FLOAT_TYPE", "float"}, {"ADD_RMS" , add_rms}});
     }
     }
     }
@@ -837,14 +842,11 @@ void process_shaders() {
 
     string_to_spv("upscale_f32", "upscale.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
 
-    for (auto rte : {false, true}) {
-        std::string suffix = rte ? "_rte" : "";
-        string_to_spv("exp_f16" + suffix,        "exp.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("exp_f32" + suffix,        "exp.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}    ,   {"RTE16", rte ? "1" : "0"}});
+    string_to_spv("exp_f16",        "exp.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("exp_f32",        "exp.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
-        string_to_spv("log_f16" + suffix,        "log.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("log_f32" + suffix,        "log.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-    }
+    string_to_spv("log_f16",        "log.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("log_f32",        "log.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("gelu_f16",       "gelu.comp",        {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("gelu_f32",       "gelu.comp",        {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("gelu_erf_f16",   "gelu_erf.comp",    {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
@@ -887,6 +889,7 @@ void process_shaders() {
     string_to_spv("add1_f32_f32",   "add1.comp",        {{"A_TYPE", "float"},       {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     string_to_spv("arange_f32",     "arange.comp",      {{"A_TYPE", "float"},       {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     string_to_spv("fill_f32",       "fill.comp",        {{"D_TYPE", "float"},       {"FLOAT_TYPE", "float"}});
+    string_to_spv("fill_f16",       "fill.comp",        {{"D_TYPE", "float16_t"},   {"FLOAT_TYPE", "float"}});
     string_to_spv("step_f16",       "step.comp",        {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("step_f32",       "step.comp",        {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("round_f16",      "round.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
@@ -898,21 +901,18 @@ void process_shaders() {
     string_to_spv("trunc_f16",      "trunc.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("trunc_f32",      "trunc.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
-    for (auto rte : {false, true}) {
-        std::string suffix = rte ? "_rte" : "";
-        string_to_spv("geglu_f16" + suffix,      "geglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_f32" + suffix,      "geglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("reglu_f16" + suffix,      "reglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("reglu_f32" + suffix,      "reglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_f16" + suffix,     "swiglu.comp",      {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_f32" + suffix,     "swiglu.comp",      {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_oai_f16" + suffix, "swiglu_oai.comp",  {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_oai_f32" + suffix, "swiglu_oai.comp",  {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_erf_f16" + suffix,  "geglu_erf.comp",   {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_erf_f32" + suffix,  "geglu_erf.comp",   {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_quick_f16" + suffix,"geglu_quick.comp", {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_quick_f32" + suffix,"geglu_quick.comp", {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-    }
+    string_to_spv("geglu_f16",      "geglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("geglu_f32",      "geglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("reglu_f16",      "reglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("reglu_f32",      "reglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("swiglu_f16",     "swiglu.comp",      {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("swiglu_f32",     "swiglu.comp",      {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("swiglu_oai_f16", "swiglu_oai.comp",  {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("swiglu_oai_f32", "swiglu_oai.comp",  {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("geglu_erf_f16",  "geglu_erf.comp",   {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("geglu_erf_f32",  "geglu_erf.comp",   {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("geglu_quick_f16","geglu_quick.comp", {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("geglu_quick_f32","geglu_quick.comp", {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
     string_to_spv("leaky_relu_f32", "leaky_relu.comp",  {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
     string_to_spv("silu_back_f32",  "silu_back.comp",   {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
@@ -932,25 +932,18 @@ void process_shaders() {
 
     string_to_spv("rope_norm_f32", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_norm_f16", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_norm_f16_rte", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
     string_to_spv("rope_norm_f32_f16", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_norm_f32_f16_rte", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("rope_neox_f32", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_neox_f16", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_neox_f16_rte", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
     string_to_spv("rope_neox_f32_f16", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_neox_f32_f16_rte", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("rope_multi_f32", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_multi_f16", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_multi_f16_rte", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
     string_to_spv("rope_multi_f32_f16", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_multi_f32_f16_rte", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("rope_vision_f32", "rope_vision.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_vision_f16", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_vision_f16_rte", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("argsort_f32", "argsort.comp", {{"A_TYPE", "float"}});
     string_to_spv("argsort_large_f32", "argsort_large.comp", {{"A_TYPE", "float"}});
@@ -973,7 +966,6 @@ void process_shaders() {
             std::string bda_def = bda ? "1" : "0";
             string_to_spv("im2col" + dim_str + "_f32" + bda_str, "im2col" + dim_str + ".comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}, {"D_SIZE", "4"}, {"BDA", bda_def}}));
             string_to_spv("im2col" + dim_str + "_f32_f16" + bda_str, "im2col" + dim_str + ".comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}, {"D_SIZE", "2"}, {"BDA", bda_def}}));
-            string_to_spv("im2col" + dim_str + "_f32_f16_rte" + bda_str, "im2col" + dim_str + ".comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}, {"D_SIZE", "2"}, {"RTE16", "1"}, {"BDA", bda_def}}));
         }
     }
 
@@ -987,7 +979,9 @@ void process_shaders() {
 
     string_to_spv("rwkv_wkv7_f32", "wkv7.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
 
-    string_to_spv("gated_delta_net_f32", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}}));
+    string_to_spv("gated_delta_net_f32", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}, {"USE_SUBGROUP_CLUSTERED", "1"}}));
+    string_to_spv("gated_delta_net_f32_nocluster", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}, {"USE_SUBGROUP_CLUSTERED", "0"}}));
+    string_to_spv("gated_delta_net_f32_shmem", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}, {"USE_SUBGROUP_ADD", "0"}, {"USE_SUBGROUP_CLUSTERED", "0"}}));
 
     string_to_spv("opt_step_adamw_f32", "opt_step_adamw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
     string_to_spv("opt_step_sgd_f32", "opt_step_sgd.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
@@ -1024,8 +1018,8 @@ void process_shaders() {
 
     string_to_spv("add_id_f32", "add_id.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
 
-    string_to_spv("multi_add_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}, {"ADD_RMS" , "0"}});
-    string_to_spv("multi_add_rms_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}, {"ADD_RMS" , "1"}});
+    string_to_spv("multi_add_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"ADD_RMS" , "0"}});
+    string_to_spv("multi_add_rms_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"ADD_RMS" , "1"}});
 
     string_to_spv("ssm_scan_f32",          "ssm_scan.comp", {{"A_TYPE", "float"}});
     string_to_spv("ssm_scan_subgroup_f32", "ssm_scan.comp", {{"A_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
@@ -1078,8 +1072,8 @@ void write_output_files() {
 
     std::string suffixes[2] = {"_f32", "_f16"};
     for (std::string op : {"add", "sub", "mul", "div", "add_rms"}) {
-        hdr << "extern const void * " << op << "_data[2][2][2][2];\n";
-        hdr << "extern const uint64_t " << op << "_len[2][2][2][2];\n";
+        hdr << "extern const void * " << op << "_data[2][2][2];\n";
+        hdr << "extern const uint64_t " << op << "_len[2][2][2];\n";
 
         std::string op_file = op == "add_rms" ? "add.comp" : std::string(op) + ".comp";
         if (basename(input_filepath) != op_file) {
@@ -1087,8 +1081,8 @@ void write_output_files() {
         }
         std::stringstream data = make_generic_stringstream();
         std::stringstream len  = make_generic_stringstream();
-        data << "const void * " << op << "_data[2][2][2][2] = ";
-        len  << "const uint64_t " << op << "_len[2][2][2][2] = ";
+        data << "const void * " << op << "_data[2][2][2] = ";
+        len  << "const uint64_t " << op << "_len[2][2][2] = ";
         for (uint32_t t0 = 0; t0 < 2; ++t0) {
             if (t0 == 0) {
                 data << "{";
@@ -1104,20 +1098,10 @@ void write_output_files() {
                         data << "{";
                         len  << "{";
                     }
-                    for (uint32_t rte = 0; rte < 2; ++rte) {
-                        if (rte == 0) {
-                            data << "{";
-                            len  << "{";
-                        }
-                        data << op << suffixes[t0] << suffixes[t1] << suffixes[t2] << ((rte != 0) ? "_rte" : "");
-                        len  << op << suffixes[t0] << suffixes[t1] << suffixes[t2] << ((rte != 0) ? "_rte" : "");
-                        data << "_data,";
-                        len  << "_len,";
-                        if (rte == 1) {
-                            data << "}, ";
-                            len  << "}, ";
-                        }
-                    }
+                    data << op << suffixes[t0] << suffixes[t1] << suffixes[t2];
+                    len  << op << suffixes[t0] << suffixes[t1] << suffixes[t2];
+                    data << "_data,";
+                    len  << "_len,";
                     if (t2 == 1) {
                         data << "}, ";
                         len  << "}, ";
diff --git a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
index 3d7e59fddf322d5ccfee1367edc01f5fb8fb4382..9d88f98050e0ff6738c747d4ce6e8bcce5aed7eb 100644
--- a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
+++ b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
@@ -44,18 +44,9 @@
 // Matrix-vector multiplication parameters
 #define WEBGPU_MUL_MAT_VEC_WG_SIZE 256
 
-// Must be multiple of 4 to work with vectorized paths, and must divide
-// mul_mat_vec wg size
-#define WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG 64
-#define WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K         256
-
-#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG 64
-#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K         256
-
-// Requires 32 threads per output (wg_size/outputs_per_wg == 32)
-#define WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG 8
-// Requires at least two (and multiple of 2) k-quant blocks per tile
-#define WEBGPU_MUL_MAT_VEC_K_Q_TILE_K         512
+#define WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG    4
+#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG 4
+#define WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG      4
 
 // default size for legacy matrix multiplication
 #define WEBGPU_MUL_MAT_WG_SIZE 256
@@ -78,6 +69,7 @@ struct ggml_webgpu_shader_lib_context {
     bool     inplace                  = false;
     bool     overlap                  = false;
     bool     src_overlap              = false;
+    bool     supports_subgroups       = false;
     bool     supports_subgroup_matrix = false;
     uint32_t sg_mat_m                 = 0;
     uint32_t sg_mat_n                 = 0;
@@ -95,6 +87,17 @@ struct ggml_webgpu_generic_shader_decisions {
     uint32_t wg_size = 0;
 };
 
+struct ggml_webgpu_processed_shader {
+    std::string           wgsl;
+    std::string           variant;
+    std::shared_ptr<void> decisions;
+};
+
+struct ggml_webgpu_ssm_conv_shader_decisions {
+    uint32_t block_size;
+    uint32_t tokens_per_wg;
+};
+
 /** Argsort **/
 
 struct ggml_webgpu_argsort_shader_lib_context {
@@ -131,6 +134,26 @@ struct ggml_webgpu_set_rows_shader_decisions {
     uint32_t wg_size;
 };
 
+/** Set **/
+
+struct ggml_webgpu_set_pipeline_key {
+    ggml_type type;
+    bool      inplace;
+
+    bool operator==(const ggml_webgpu_set_pipeline_key & other) const {
+        return type == other.type && inplace == other.inplace;
+    }
+};
+
+struct ggml_webgpu_set_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_set_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        return seed;
+    }
+};
+
 /** Get Rows **/
 
 struct ggml_webgpu_get_rows_pipeline_key {
@@ -151,6 +174,26 @@ struct ggml_webgpu_get_rows_pipeline_key_hash {
     }
 };
 
+/** Row Norm **/
+
+struct ggml_webgpu_row_norm_pipeline_key {
+    ggml_op op;
+    bool    inplace;
+
+    bool operator==(const ggml_webgpu_row_norm_pipeline_key & other) const {
+        return op == other.op && inplace == other.inplace;
+    }
+};
+
+struct ggml_webgpu_row_norm_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_row_norm_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.op);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        return seed;
+    }
+};
+
 /** Pad **/
 struct ggml_webgpu_pad_pipeline_key {
     bool circular;
@@ -166,6 +209,67 @@ struct ggml_webgpu_pad_pipeline_key_hash {
     }
 };
 
+/** Solve Tri **/
+struct ggml_webgpu_solve_tri_pipeline_key {
+    int type;
+    int n;
+    int k;
+
+    bool operator==(const ggml_webgpu_solve_tri_pipeline_key & other) const {
+        return type == other.type && n == other.n && k == other.k;
+    }
+};
+
+struct ggml_webgpu_solve_tri_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_solve_tri_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.n);
+        ggml_webgpu_hash_combine(seed, key.k);
+        return seed;
+    }
+};
+
+/** SSM Conv **/
+struct ggml_webgpu_ssm_conv_pipeline_key {
+    int type;
+    int vectorized;
+
+    bool operator==(const ggml_webgpu_ssm_conv_pipeline_key & other) const {
+        return type == other.type && vectorized == other.vectorized;
+    }
+};
+
+/** Gated Delta Net **/
+struct ggml_webgpu_gated_delta_net_pipeline_key {
+    int type;
+    int s_v;
+    int kda;
+
+    bool operator==(const ggml_webgpu_gated_delta_net_pipeline_key & other) const {
+        return type == other.type && s_v == other.s_v && kda == other.kda;
+    }
+};
+
+struct ggml_webgpu_gated_delta_net_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_gated_delta_net_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.s_v);
+        ggml_webgpu_hash_combine(seed, key.kda);
+        return seed;
+    }
+};
+
+struct ggml_webgpu_ssm_conv_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_ssm_conv_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.vectorized);
+        return seed;
+    }
+};
+
 /** Scale **/
 
 struct ggml_webgpu_scale_pipeline_key {
@@ -244,13 +348,15 @@ struct ggml_webgpu_binary_pipeline_key_hash {
 /** Unary **/
 
 struct ggml_webgpu_unary_pipeline_key {
-    int  type;
-    int  op;
-    bool is_unary;  // many unary operators fall under the GGML_OP_UNARY umbrella
-    bool inplace;
+    int           type;
+    int           op;
+    bool          is_unary;  // many unary operators fall under the GGML_OP_UNARY umbrella
+    bool          inplace;
+    ggml_tri_type ttype;     // only used for GGML_OP_TRI
 
     bool operator==(const ggml_webgpu_unary_pipeline_key & other) const {
-        return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace;
+        return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace &&
+               ttype == other.ttype;
     }
 };
 
@@ -261,6 +367,7 @@ struct ggml_webgpu_unary_pipeline_key_hash {
         ggml_webgpu_hash_combine(seed, key.op);
         ggml_webgpu_hash_combine(seed, key.is_unary);
         ggml_webgpu_hash_combine(seed, key.inplace);
+        ggml_webgpu_hash_combine(seed, key.ttype);
         return seed;
     }
 };
@@ -297,21 +404,68 @@ struct ggml_webgpu_flash_attn_pipeline_key_hash {
     }
 };
 
-struct ggml_webgpu_flash_attn_shader_lib_context {
-    ggml_webgpu_flash_attn_pipeline_key key;
-    uint32_t                            sg_mat_m;
-    uint32_t                            sg_mat_n;
-    uint32_t                            sg_mat_k;
-    size_t                              wg_mem_limit_bytes;
-    uint32_t                            max_subgroup_size;
+struct ggml_webgpu_flash_attn_decisions {
+    uint32_t q_tile  = 0;
+    uint32_t kv_tile = 0;
+    uint32_t wg_size = 0;
 };
 
-struct ggml_webgpu_flash_attn_shader_decisions {
-    uint32_t q_tile  = 0;
+struct ggml_webgpu_flash_attn_vec_decisions {
     uint32_t kv_tile = 0;
     uint32_t wg_size = 0;
 };
 
+inline ggml_webgpu_flash_attn_pipeline_key ggml_webgpu_flash_attn_make_pipeline_key(
+    const ggml_webgpu_shader_lib_context & context) {
+    const bool has_mask  = context.src3 != nullptr;
+    const bool has_sinks = context.src4 != nullptr;
+    const bool kv_direct = (context.src1->type == GGML_TYPE_F16) && (context.src0->ne[0] % context.sg_mat_k == 0) &&
+                           (context.src1->ne[1] % GGML_WEBGPU_KV_SEQ_PAD == 0);
+
+    ggml_webgpu_flash_attn_pipeline_key key = {};
+    key.kv_type                             = context.src1->type;
+    key.head_dim_qk                         = (uint32_t) context.src0->ne[0];
+    key.head_dim_v                          = (uint32_t) context.src2->ne[0];
+    key.kv_direct                           = kv_direct;
+    key.has_mask                            = has_mask;
+    key.has_sinks                           = has_sinks;
+    key.uses_logit_softcap                  = ggml_get_op_params_f32(context.dst, 2) != 0.0f;
+    return key;
+}
+
+struct ggml_webgpu_flash_attn_vec_reduce_pipeline_key {
+    uint32_t head_dim_v;
+    uint32_t wg_size;
+};
+
+struct ggml_webgpu_flash_attn_vec_reduce_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_flash_attn_vec_reduce_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.head_dim_v);
+        ggml_webgpu_hash_combine(seed, key.wg_size);
+        return seed;
+    }
+};
+
+inline bool operator==(const ggml_webgpu_flash_attn_vec_reduce_pipeline_key & lhs,
+                       const ggml_webgpu_flash_attn_vec_reduce_pipeline_key & rhs) {
+    return lhs.head_dim_v == rhs.head_dim_v && lhs.wg_size == rhs.wg_size;
+}
+
+struct ggml_webgpu_flash_attn_blk_pipeline_key {
+    uint32_t kv_tile;
+
+    bool operator==(const ggml_webgpu_flash_attn_blk_pipeline_key & other) const { return kv_tile == other.kv_tile; }
+};
+
+struct ggml_webgpu_flash_attn_blk_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_flash_attn_blk_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.kv_tile);
+        return seed;
+    }
+};
+
 // This is exposed because it's necessary in supports_op
 inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile,
                                                   uint32_t kv_tile,
@@ -336,6 +490,41 @@ inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile,
     return f16_elems * GGML_WEBGPU_F16_SIZE_BYTES + f32_elems * GGML_WEBGPU_F32_SIZE_BYTES;
 }
 
+inline uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_shader_lib_context &      context,
+                                                   const ggml_webgpu_flash_attn_pipeline_key & key) {
+    const size_t limit_bytes  = context.wg_mem_limit_bytes;
+    const size_t q_tile       = context.sg_mat_m;
+    const size_t base_q_bytes = (key.head_dim_qk + key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
+                                2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
+    size_t bytes_per_kv = 0;
+    if (!key.kv_direct) {
+        bytes_per_kv += std::max(key.head_dim_qk, key.head_dim_v);
+    }
+    if (key.has_mask) {
+        bytes_per_kv += q_tile;
+    }
+    bytes_per_kv += q_tile;
+    bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
+    const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv;
+    return (max_kv_tile / context.sg_mat_n) * context.sg_mat_n;
+}
+
+inline uint32_t ggml_webgpu_flash_attn_vec_get_kv_tile(const ggml_webgpu_shader_lib_context & context) {
+    const ggml_webgpu_flash_attn_pipeline_key key         = ggml_webgpu_flash_attn_make_pipeline_key(context);
+    const uint32_t                            min_kv_tile = ggml_webgpu_flash_attn_max_kv_tile(context, key);
+    uint32_t                                  kv_tile     = std::max(context.sg_mat_n, std::min(32u, min_kv_tile));
+    kv_tile                                               = (kv_tile / context.sg_mat_n) * context.sg_mat_n;
+
+    if (key.kv_direct) {
+        kv_tile = std::min(kv_tile, GGML_WEBGPU_KV_SEQ_PAD);
+        while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) {
+            kv_tile -= context.sg_mat_n;
+        }
+    }
+
+    return kv_tile;
+}
+
 /** Matrix Multiplication **/
 
 struct ggml_webgpu_legacy_mul_mat_pipeline_key {
@@ -378,7 +567,6 @@ struct ggml_webgpu_mul_mat_vec_pipeline_key_hash {
 
 struct ggml_webgpu_mul_mat_vec_shader_decisions {
     uint32_t wg_size;
-    uint32_t tile_k;
     uint32_t outputs_per_wg;
     uint32_t vec_size;
 };
@@ -426,6 +614,115 @@ struct ggml_webgpu_mul_mat_shader_decisions {
     uint32_t mul_mat_wg_size;
 };
 
+/** MUL_MAT_ID **/
+
+struct ggml_webgpu_mul_mat_id_pipeline_key {
+    ggml_type src0_type;
+    ggml_type src1_type;
+
+    bool operator==(const ggml_webgpu_mul_mat_id_pipeline_key & other) const {
+        return src0_type == other.src0_type && src1_type == other.src1_type;
+    }
+};
+
+struct ggml_webgpu_mul_mat_id_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_mul_mat_id_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.src0_type);
+        ggml_webgpu_hash_combine(seed, key.src1_type);
+        return seed;
+    }
+};
+
+/** Cpy **/
+
+struct ggml_webgpu_cpy_pipeline_key {
+    ggml_type src_type;
+    ggml_type dst_type;
+
+    bool operator==(const ggml_webgpu_cpy_pipeline_key & other) const {
+        return src_type == other.src_type && dst_type == other.dst_type;
+    }
+};
+
+struct ggml_webgpu_cpy_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_cpy_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.src_type);
+        ggml_webgpu_hash_combine(seed, key.dst_type);
+        return seed;
+    }
+};
+
+/** Glu **/
+
+struct ggml_webgpu_glu_pipeline_key {
+    ggml_glu_op glu_op;
+    ggml_type   type;
+    bool        split;
+
+    bool operator==(const ggml_webgpu_glu_pipeline_key & other) const {
+        return glu_op == other.glu_op && type == other.type && split == other.split;
+    }
+};
+
+struct ggml_webgpu_glu_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_glu_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.glu_op);
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.split);
+        return seed;
+    }
+};
+
+/** Rope **/
+
+struct ggml_webgpu_rope_pipeline_key {
+    ggml_type type;
+    bool      inplace;
+    bool      has_ff;
+
+    bool operator==(const ggml_webgpu_rope_pipeline_key & other) const {
+        return type == other.type && inplace == other.inplace && has_ff == other.has_ff;
+    }
+};
+
+struct ggml_webgpu_rope_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_rope_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        ggml_webgpu_hash_combine(seed, key.has_ff);
+        return seed;
+    }
+};
+
+/** SoftMax **/
+
+struct ggml_webgpu_soft_max_pipeline_key {
+    ggml_type mask_type;
+    bool      has_mask;
+    bool      has_sink;
+    bool      inplace;
+
+    bool operator==(const ggml_webgpu_soft_max_pipeline_key & other) const {
+        return mask_type == other.mask_type && has_mask == other.has_mask && has_sink == other.has_sink &&
+               inplace == other.inplace;
+    }
+};
+
+struct ggml_webgpu_soft_max_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_soft_max_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.mask_type);
+        ggml_webgpu_hash_combine(seed, key.has_mask);
+        ggml_webgpu_hash_combine(seed, key.has_sink);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        return seed;
+    }
+};
+
 class ggml_webgpu_shader_lib {
     wgpu::Device           device;
     pre_wgsl::Preprocessor preprocessor;
@@ -435,22 +732,42 @@ class ggml_webgpu_shader_lib {
     std::unordered_map<int, webgpu_pipeline> argsort_pipelines;        // key is order
     std::unordered_map<int, webgpu_pipeline> argsort_merge_pipelines;  // key is order
     std::unordered_map<int, webgpu_pipeline> cumsum_pipelines;         // key is fixed, no variants yet
+    std::unordered_map<ggml_webgpu_row_norm_pipeline_key, webgpu_pipeline, ggml_webgpu_row_norm_pipeline_key_hash>
+        row_norm_pipelines;                                            // op/inplace
     std::unordered_map<ggml_webgpu_get_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_get_rows_pipeline_key_hash>
         get_rows_pipelines;                                            // src_type, vectorized
     std::unordered_map<ggml_webgpu_unary_pipeline_key, webgpu_pipeline, ggml_webgpu_unary_pipeline_key_hash>
         unary_pipelines;                                               // type/op/inplace
     std::unordered_map<ggml_webgpu_scale_pipeline_key, webgpu_pipeline, ggml_webgpu_scale_pipeline_key_hash>
         scale_pipelines;                                               // inplace
+    std::unordered_map<ggml_webgpu_solve_tri_pipeline_key, webgpu_pipeline, ggml_webgpu_solve_tri_pipeline_key_hash>
+        solve_tri_pipelines;                                           // type
+    std::unordered_map<ggml_webgpu_ssm_conv_pipeline_key, webgpu_pipeline, ggml_webgpu_ssm_conv_pipeline_key_hash>
+        ssm_conv_pipelines;                                            // type/vectorized
+    std::unordered_map<ggml_webgpu_gated_delta_net_pipeline_key,
+                       webgpu_pipeline,
+                       ggml_webgpu_gated_delta_net_pipeline_key_hash>
+        gated_delta_net_pipelines;  // type/S_v/kda
     std::unordered_map<ggml_webgpu_pad_pipeline_key, webgpu_pipeline, ggml_webgpu_pad_pipeline_key_hash>
-        pad_pipelines;                                                 // circular/non-circular
+        pad_pipelines;              // circular/non-circular
     std::unordered_map<ggml_webgpu_binary_pipeline_key, webgpu_pipeline, ggml_webgpu_binary_pipeline_key_hash>
-        binary_pipelines;                                              // type/op/inplace/overlap
+        binary_pipelines;           // type/op/inplace/overlap
     std::unordered_map<ggml_webgpu_concat_pipeline_key, webgpu_pipeline, ggml_webgpu_concat_pipeline_key_hash>
-        concat_pipelines;                                              // type
+        concat_pipelines;           // type
     std::unordered_map<ggml_webgpu_repeat_pipeline_key, webgpu_pipeline, ggml_webgpu_repeat_pipeline_key_hash>
-        repeat_pipelines;                                              // type
+        repeat_pipelines;           // type
     std::unordered_map<ggml_webgpu_flash_attn_pipeline_key, webgpu_pipeline, ggml_webgpu_flash_attn_pipeline_key_hash>
         flash_attn_pipelines;
+    std::unordered_map<ggml_webgpu_flash_attn_pipeline_key, webgpu_pipeline, ggml_webgpu_flash_attn_pipeline_key_hash>
+        flash_attn_vec_pipelines;
+    std::unordered_map<ggml_webgpu_flash_attn_vec_reduce_pipeline_key,
+                       webgpu_pipeline,
+                       ggml_webgpu_flash_attn_vec_reduce_pipeline_key_hash>
+        flash_attn_vec_reduce_pipelines;
+    std::unordered_map<ggml_webgpu_flash_attn_blk_pipeline_key,
+                       webgpu_pipeline,
+                       ggml_webgpu_flash_attn_blk_pipeline_key_hash>
+        flash_attn_blk_pipelines;
     std::unordered_map<ggml_webgpu_legacy_mul_mat_pipeline_key,
                        webgpu_pipeline,
                        ggml_webgpu_legacy_mul_mat_pipeline_key_hash>
@@ -458,10 +775,20 @@ class ggml_webgpu_shader_lib {
     std::unordered_map<ggml_webgpu_mul_mat_vec_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_vec_pipeline_key_hash>
         mul_mat_vec_pipelines;     // fast mat-vec (n==1)
     std::unordered_map<ggml_webgpu_mul_mat_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_pipeline_key_hash>
-        mul_mat_fast_pipelines;    // fast mat-mat (reg-tile or subgroup)
+                                             mul_mat_fast_pipelines;       // fast mat-mat (reg-tile or subgroup)
+    std::unordered_map<int, webgpu_pipeline> mul_mat_id_gather_pipelines;  // key is fixed
+    std::unordered_map<ggml_webgpu_mul_mat_id_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_id_pipeline_key_hash>
+        mul_mat_id_pipelines;                                              // src0_type/src1_type
 
     std::unordered_map<ggml_webgpu_set_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_set_rows_pipeline_key_hash>
         set_rows_pipelines;
+    std::unordered_map<ggml_webgpu_set_pipeline_key, webgpu_pipeline, ggml_webgpu_set_pipeline_key_hash> set_pipelines;
+    std::unordered_map<ggml_webgpu_cpy_pipeline_key, webgpu_pipeline, ggml_webgpu_cpy_pipeline_key_hash> cpy_pipelines;
+    std::unordered_map<ggml_webgpu_glu_pipeline_key, webgpu_pipeline, ggml_webgpu_glu_pipeline_key_hash> glu_pipelines;
+    std::unordered_map<ggml_webgpu_rope_pipeline_key, webgpu_pipeline, ggml_webgpu_rope_pipeline_key_hash>
+        rope_pipelines;
+    std::unordered_map<ggml_webgpu_soft_max_pipeline_key, webgpu_pipeline, ggml_webgpu_soft_max_pipeline_key_hash>
+        soft_max_pipelines;
 
   public:
     ggml_webgpu_shader_lib(wgpu::Device device) { this->device = device; }
@@ -479,6 +806,44 @@ class ggml_webgpu_shader_lib {
         return sum_rows_pipelines[1];
     }
 
+    webgpu_pipeline get_row_norm_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_row_norm_pipeline_key key = {};
+        key.op                                = context.dst->op;
+        key.inplace                           = context.inplace;
+
+        auto it = row_norm_pipelines.find(key);
+        if (it != row_norm_pipelines.end()) {
+            return it->second;
+        }
+        std::vector<std::string> defines;
+        std::string              variant;
+
+        switch (key.op) {
+            case GGML_OP_RMS_NORM:
+                defines.push_back("RMS_NORM");
+                variant = "rms_norm";
+                break;
+            case GGML_OP_L2_NORM:
+                defines.push_back("L2_NORM");
+                variant = "l2_norm";
+                break;
+            default:
+                GGML_ABORT("Unsupported op for row_norm shader");
+        }
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        }
+
+        const uint32_t row_norm_wg_size = 128u;
+        uint32_t       wg_size          = std::min(context.max_wg_size, row_norm_wg_size);
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        auto processed          = preprocessor.preprocess(wgsl_row_norm, defines);
+        row_norm_pipelines[key] = ggml_webgpu_create_pipeline(device, processed, variant);
+        return row_norm_pipelines[key];
+    }
+
     webgpu_pipeline get_argmax_pipeline(const ggml_webgpu_shader_lib_context & context) {
         bool vec4 = context.src0->ne[0] % 4 == 0;
 
@@ -500,9 +865,10 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_set_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_set_rows_pipeline_key key = { .dst_type = context.dst->type,
-                                                  .vec4     = context.src0->ne[0] % 4 == 0,
-                                                  .i64_idx  = context.src1->type == GGML_TYPE_I64 };
+        ggml_webgpu_set_rows_pipeline_key key = {};
+        key.dst_type                          = context.dst->type;
+        key.vec4                              = context.src0->ne[0] % 4 == 0;
+        key.i64_idx                           = context.src1->type == GGML_TYPE_I64;
 
         auto it = set_rows_pipelines.find(key);
         if (it != set_rows_pipelines.end()) {
@@ -546,6 +912,48 @@ class ggml_webgpu_shader_lib {
         return set_rows_pipelines[key];
     }
 
+    webgpu_pipeline get_set_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_set_pipeline_key key = {};
+        key.type                         = context.dst->type;
+        key.inplace                      = context.inplace;
+
+        auto it = set_pipelines.find(key);
+        if (it != set_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "set";
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_I32:
+                defines.push_back("TYPE_I32");
+                variant += "_i32";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for set shader");
+        }
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_set, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        set_pipelines[key]       = pipeline;
+        return set_pipelines[key];
+    }
+
     webgpu_pipeline get_cumsum_pipeline(const ggml_webgpu_shader_lib_context & context) {
         auto it = cumsum_pipelines.find(1);
         if (it != cumsum_pipelines.end()) {
@@ -614,10 +1022,9 @@ class ggml_webgpu_shader_lib {
 
     webgpu_pipeline get_get_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
         const bool vectorized                 = context.src0->type == GGML_TYPE_F32 && context.dst->ne[0] % 4 == 0;
-        ggml_webgpu_get_rows_pipeline_key key = {
-            .src_type   = context.src0->type,
-            .vectorized = (int) vectorized,
-        };
+        ggml_webgpu_get_rows_pipeline_key key = {};
+        key.src_type                          = context.src0->type;
+        key.vectorized                        = (int) vectorized;
 
         auto it = get_rows_pipelines.find(key);
         if (it != get_rows_pipelines.end()) {
@@ -632,6 +1039,7 @@ class ggml_webgpu_shader_lib {
 
         switch (key.src_type) {
             case GGML_TYPE_F32:
+                defines.push_back("FLOAT_PARALLEL");
                 if (key.vectorized) {
                     defines.push_back("F32_VEC");
                     defines.push_back("SRC_TYPE=vec4<f32>");
@@ -646,6 +1054,7 @@ class ggml_webgpu_shader_lib {
                 variant += "_f32";
                 break;
             case GGML_TYPE_F16:
+                defines.push_back("FLOAT_PARALLEL");
                 defines.push_back("F16");
                 defines.push_back("SRC_TYPE=f16");
                 defines.push_back("DST_TYPE=f32");
@@ -653,6 +1062,7 @@ class ggml_webgpu_shader_lib {
                 variant += "_f16";
                 break;
             case GGML_TYPE_I32:
+                defines.push_back("FLOAT_PARALLEL");
                 defines.push_back("I32");
                 defines.push_back("SRC_TYPE=i32");
                 defines.push_back("DST_TYPE=i32");
@@ -664,6 +1074,31 @@ class ggml_webgpu_shader_lib {
                     std::string type_upper = type_str;
                     std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
 
+                    switch (key.src_type) {
+                        case GGML_TYPE_Q4_0:
+                        case GGML_TYPE_Q5_0:
+                        case GGML_TYPE_Q8_0:
+                        case GGML_TYPE_Q3_K:
+                        case GGML_TYPE_Q6_K:
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ4_NL:
+                            {
+                                // Quantized types using u32 buffers for portability.
+                                defines.push_back("SRC_TYPE=u32");
+                                defines.push_back("U32_DEQUANT_HELPERS");
+                                break;
+                            }
+                        default:
+                            {
+                                defines.push_back(std::string("SRC_TYPE=") + type_str);
+                            }
+                    }
+
                     defines.push_back("BYTE_HELPERS");
                     defines.push_back(type_upper + "_T");
                     defines.push_back(type_upper);
@@ -674,7 +1109,6 @@ class ggml_webgpu_shader_lib {
                     variant += "_";
                     variant += type_str;
 
-                    defines.push_back(std::string("SRC_TYPE=") + type_str);
                     defines.push_back("DST_TYPE=f32");
 
                     if ((key.src_type >= GGML_TYPE_Q4_0 && key.src_type <= GGML_TYPE_Q8_1) ||
@@ -705,7 +1139,8 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_scale_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_scale_pipeline_key key = { .inplace = context.inplace };
+        ggml_webgpu_scale_pipeline_key key = {};
+        key.inplace                        = context.inplace;
 
         auto it = scale_pipelines.find(key);
         if (it != scale_pipelines.end()) {
@@ -731,66 +1166,185 @@ class ggml_webgpu_shader_lib {
         return scale_pipelines[key];
     }
 
-    webgpu_pipeline get_pad_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_pad_pipeline_key key = { .circular = ggml_get_op_params_i32(context.dst, 8) != 0 };
+    webgpu_pipeline get_solve_tri_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_solve_tri_pipeline_key key = {};
+        key.type                               = context.dst->type;
+        key.n                                  = (int) context.src0->ne[0];
+        key.k                                  = (int) context.src1->ne[0];
 
-        auto it = pad_pipelines.find(key);
-        if (it != pad_pipelines.end()) {
+        auto it = solve_tri_pipelines.find(key);
+        if (it != solve_tri_pipelines.end()) {
             return it->second;
         }
 
         std::vector<std::string> defines;
-        std::string              variant = "pad";
+        std::string              variant = "solve_tri";
 
-        if (key.circular) {
-            defines.push_back("CIRCULAR");
-            variant += "_circular";
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                variant += "_f32";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for solve_tri shader");
         }
 
-        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+        const uint32_t wg_size       = std::min((uint32_t) key.n, context.max_wg_size);
+        const uint32_t k_tile        = wg_size;
+        const uint32_t bytes_per_row = ((uint32_t) key.n + wg_size) * GGML_WEBGPU_F32_SIZE_BYTES;
+        const uint32_t batch_n       = (uint32_t) (context.wg_mem_limit_bytes / bytes_per_row);
 
-        auto processed           = preprocessor.preprocess(wgsl_pad, defines);
+        defines.push_back(std::string("N=") + std::to_string(key.n));
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        defines.push_back(std::string("K_TILE=") + std::to_string(k_tile));
+        defines.push_back(std::string("BATCH_N=") + std::to_string(batch_n));
+
+        auto processed           = preprocessor.preprocess(wgsl_solve_tri, defines);
         auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
-        decisions->wg_size       = context.max_wg_size;
+        decisions->wg_size       = wg_size;
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
         pipeline.context         = decisions;
-        pad_pipelines[key]       = pipeline;
-        return pad_pipelines[key];
+        solve_tri_pipelines[key] = pipeline;
+        return solve_tri_pipelines[key];
     }
 
-    webgpu_pipeline get_mul_mat_vec_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_mul_mat_vec_pipeline_key key = {
-            .src0_type  = context.src0->type,
-            .src1_type  = context.src1->type,
-            // Quantized mat-vec path currently runs scalar; only allow vectorization when both inputs are float
-            .vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 &&
-                           (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
-                              1 :
-                              0,
-        };
+    webgpu_pipeline get_ssm_conv_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_ssm_conv_pipeline_key key = {};
+        key.type                              = context.dst->type;
+        key.vectorized                        = context.src1->ne[0] == 4;
 
-        auto it = mul_mat_vec_pipelines.find(key);
-        if (it != mul_mat_vec_pipelines.end()) {
+        auto it = ssm_conv_pipelines.find(key);
+        if (it != ssm_conv_pipelines.end()) {
             return it->second;
         }
 
         std::vector<std::string> defines;
-        std::string              variant = "mul_mat_vec";
+        std::string              variant = "ssm_conv";
 
-        // src0 type (matrix row)
-        switch (context.src0->type) {
+        switch (key.type) {
             case GGML_TYPE_F32:
-                defines.push_back("SRC0_INNER_TYPE=f32");
-                defines.push_back("MUL_ACC_FLOAT");
                 variant += "_f32";
                 break;
-            case GGML_TYPE_F16:
-                defines.push_back("SRC0_INNER_TYPE=f16");
-                defines.push_back("MUL_ACC_FLOAT");
-                variant += "_f16";
-                break;
             default:
-                {
+                GGML_ABORT("Unsupported type for ssm_conv shader");
+        }
+
+        if (key.vectorized) {
+            defines.push_back("VECTORIZED");
+            variant += "_vec4";
+        }
+
+        constexpr uint32_t block_size    = 32u;
+        constexpr uint32_t tokens_per_wg = 8u;
+
+        defines.push_back("BLOCK_SIZE=" + std::to_string(block_size) + "u");
+        defines.push_back("TOKENS_PER_WG=" + std::to_string(tokens_per_wg) + "u");
+
+        auto processed           = preprocessor.preprocess(wgsl_ssm_conv, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_ssm_conv_shader_decisions>();
+        decisions->block_size    = block_size;
+        decisions->tokens_per_wg = tokens_per_wg;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        ssm_conv_pipelines[key]  = pipeline;
+        return ssm_conv_pipelines[key];
+    }
+
+    webgpu_pipeline get_gated_delta_net_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_gated_delta_net_pipeline_key key = {};
+        key.type                                     = context.dst->type;
+        key.s_v                                      = (int) context.src2->ne[0];
+        key.kda                                      = context.src3->ne[0] == context.src2->ne[0];
+
+        auto it = gated_delta_net_pipelines.find(key);
+        if (it != gated_delta_net_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "gated_delta_net";
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                variant += "_f32";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for gated_delta_net shader");
+        }
+
+        if (key.kda) {
+            defines.push_back("KDA");
+            variant += "_kda";
+        }
+
+        defines.push_back("S_V=" + std::to_string(key.s_v) + "u");
+        defines.push_back("WG_SIZE=" + std::to_string(key.s_v) + "u");
+
+        auto            processed      = preprocessor.preprocess(wgsl_gated_delta_net, defines);
+        webgpu_pipeline pipeline       = ggml_webgpu_create_pipeline(device, processed, variant);
+        gated_delta_net_pipelines[key] = pipeline;
+        return gated_delta_net_pipelines[key];
+    }
+
+    webgpu_pipeline get_pad_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_pad_pipeline_key key = {};
+        key.circular                     = ggml_get_op_params_i32(context.dst, 8) != 0;
+
+        auto it = pad_pipelines.find(key);
+        if (it != pad_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "pad";
+
+        if (key.circular) {
+            defines.push_back("CIRCULAR");
+            variant += "_circular";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_pad, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        pad_pipelines[key]       = pipeline;
+        return pad_pipelines[key];
+    }
+
+    webgpu_pipeline get_mul_mat_vec_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_mul_mat_vec_pipeline_key key = {};
+        key.src0_type                            = context.src0->type;
+        key.src1_type                            = context.src1->type;
+        key.vectorized                           = (context.src0->ne[0] % 4 == 0 &&
+                          (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                                                       1 :
+                                                       0;
+
+        auto it = mul_mat_vec_pipelines.find(key);
+        if (it != mul_mat_vec_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant    = "mul_mat_vec";
+        const char *             shader_src = wgsl_mul_mat_vec;
+
+        // src0 type (matrix row)
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_INNER_TYPE=f32");
+                defines.push_back("MUL_ACC_FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_INNER_TYPE=f16");
+                defines.push_back("MUL_ACC_FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
                     // Quantized types: use helpers but accumulate in f16
                     const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
                     std::string                     src0_name   = src0_traits->type_name;
@@ -800,9 +1354,8 @@ class ggml_webgpu_shader_lib {
 
                     defines.push_back("BYTE_HELPERS");
                     defines.push_back("MUL_ACC_" + type_upper);
-
-                    // For fast path we always dequantize from f16 inside the shader
-                    defines.push_back("SRC0_INNER_TYPE=f16");
+                    defines.push_back("U32_DEQUANT_HELPERS");
+                    defines.push_back("SRC0_INNER_TYPE=u32");
                     break;
                 }
         }
@@ -825,25 +1378,25 @@ class ggml_webgpu_shader_lib {
         defines.push_back(key.vectorized ? "VEC" : "SCALAR");
 
         uint32_t wg_size        = WEBGPU_MUL_MAT_VEC_WG_SIZE;
-        uint32_t tile_k         = WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K;
         uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG;
 
         if (key.src0_type >= GGML_TYPE_Q2_K) {
-            tile_k         = WEBGPU_MUL_MAT_VEC_K_Q_TILE_K;
             outputs_per_wg = WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG;
         } else if (key.src0_type >= GGML_TYPE_Q4_0) {
-            tile_k         = WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K;
             outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG;
         }
 
         defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-        defines.push_back(std::string("TILE_K=") + std::to_string(tile_k));
         defines.push_back(std::string("OUTPUTS_PER_WG=") + std::to_string(outputs_per_wg));
+        defines.push_back(context.supports_subgroups ? "USE_SUBGROUP_REDUCTION" : "USE_WORKGROUP_REDUCTION");
+        variant += context.supports_subgroups ? "_sg_reduce" : "_wg_reduce";
+        if (key.vectorized) {
+            variant += "_vectorized";
+        }
 
-        auto processed            = preprocessor.preprocess(wgsl_mul_mat_vec, defines);
+        auto processed            = preprocessor.preprocess(shader_src, defines);
         auto decisions            = std::make_shared<ggml_webgpu_mul_mat_vec_shader_decisions>();
         decisions->wg_size        = wg_size;
-        decisions->tile_k         = tile_k;
         decisions->outputs_per_wg = outputs_per_wg;
         decisions->vec_size       = key.vectorized ? 4 : 1;
 
@@ -854,15 +1407,14 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_mul_mat_fast_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_mul_mat_pipeline_key key = {
-            .src0_type  = context.src0->type,
-            .src1_type  = context.src1->type,
-            .vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 && context.dst->ne[1] % 4 == 0 &&
-                           (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
-                              1 :
-                              0,
-            .use_subgroup_matrix = context.supports_subgroup_matrix
-        };
+        ggml_webgpu_mul_mat_pipeline_key key = {};
+        key.src0_type                        = context.src0->type;
+        key.src1_type                        = context.src1->type;
+        key.vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 && context.dst->ne[1] % 4 == 0 &&
+                          (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                             1 :
+                             0;
+        key.use_subgroup_matrix = context.supports_subgroup_matrix;
 
         auto it = mul_mat_fast_pipelines.find(key);
         if (it != mul_mat_fast_pipelines.end()) {
@@ -915,9 +1467,8 @@ class ggml_webgpu_shader_lib {
                     defines.push_back("MUL_ACC_" + type_upper);
                     defines.push_back("INIT_SRC0_SHMEM_" + type_upper);
                     defines.push_back("INIT_SRC1_SHMEM_FLOAT");
-
-                    // Use f16 inside the shader for quantized types
-                    defines.push_back("SRC0_INNER_TYPE=f16");
+                    defines.push_back("U32_DEQUANT_HELPERS");
+                    defines.push_back("SRC0_INNER_TYPE=u32");
 
                     variant += std::string("_") + src0_name;
                     break;
@@ -982,8 +1533,9 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_mul_mat_legacy_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_legacy_mul_mat_pipeline_key key = { .src0_type = context.src0->type,
-                                                        .src1_type = context.src1->type };
+        ggml_webgpu_legacy_mul_mat_pipeline_key key = {};
+        key.src0_type                               = context.src0->type;
+        key.src1_type                               = context.src1->type;
 
         auto it = mul_mat_legacy_pipelines.find(key);
         if (it != mul_mat_legacy_pipelines.end()) {
@@ -1022,11 +1574,34 @@ class ggml_webgpu_shader_lib {
                 break;
             default:
                 {
-                    // quantized types
                     std::string type_upper = src0_name;
                     std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
 
-                    defines.push_back(std::string("SRC0_TYPE=") + src0_name);
+                    switch (context.src0->type) {
+                        case GGML_TYPE_Q4_0:
+                        case GGML_TYPE_Q5_0:
+                        case GGML_TYPE_Q8_0:
+                        case GGML_TYPE_Q3_K:
+                        case GGML_TYPE_Q6_K:
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ4_NL:
+                            {
+                                // Quantized types using u32 buffers for portability.
+                                defines.push_back("SRC0_TYPE=u32");
+                                defines.push_back("U32_DEQUANT_HELPERS");
+                                break;
+                            }
+                        default:
+                            {
+                                defines.push_back(std::string("SRC0_TYPE=") + src0_name);
+                            }
+                    }
+
                     defines.push_back("BYTE_HELPERS");
                     defines.push_back(type_upper + "_T");
                     defines.push_back(type_upper);
@@ -1050,15 +1625,123 @@ class ggml_webgpu_shader_lib {
         return mul_mat_legacy_pipelines[key];
     }
 
+    webgpu_pipeline get_mul_mat_id_gather_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        auto it = mul_mat_id_gather_pipelines.find(1);
+        if (it != mul_mat_id_gather_pipelines.end()) {
+            return it->second;
+        }
+        std::vector<std::string> defines;
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed     = preprocessor.preprocess(wgsl_mul_mat_id_gather, defines);
+        auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size = context.max_wg_size;
+
+        webgpu_pipeline pipeline       = ggml_webgpu_create_pipeline(device, processed, "mul_mat_id_gather");
+        pipeline.context               = decisions;
+        mul_mat_id_gather_pipelines[1] = pipeline;
+        return pipeline;
+    }
+
+    webgpu_pipeline get_mul_mat_id_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_mul_mat_id_pipeline_key key = {};
+        key.src0_type                           = context.src0->type;
+        key.src1_type                           = context.src1->type;
+
+        auto it = mul_mat_id_pipelines.find(key);
+        if (it != mul_mat_id_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "mul_mat_id";
+        defines.push_back("MUL_MAT_ID");
+
+        // src1 type
+        switch (context.src1->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC1_INNER_TYPE=f32");
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC1_INNER_TYPE=f16");
+                break;
+            default:
+                GGML_ABORT("Unsupported src1 type for mul_mat fast shader");
+        }
+
+        // src0 type
+        const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
+        const char *                    src0_name   = src0_traits->type_name;
+
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_INNER_TYPE=f32");
+                defines.push_back("FLOAT");
+                defines.push_back("INIT_SRC0_SHMEM_FLOAT");
+                defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_INNER_TYPE=f16");
+                defines.push_back("FLOAT");
+                defines.push_back("INIT_SRC0_SHMEM_FLOAT");
+                defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
+                    std::string type_upper = src0_name;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back("INIT_SRC0_SHMEM_" + type_upper);
+                    defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                    defines.push_back("U32_DEQUANT_HELPERS");
+                    defines.push_back("SRC0_INNER_TYPE=u32");
+
+                    variant += std::string("_") + src0_name;
+                    break;
+                }
+        }
+
+        defines.push_back("SCALAR");
+
+        // Tiles
+        defines.push_back("TILE_M=" + std::to_string(WEBGPU_MUL_MAT_TILE_M) + "u");
+        defines.push_back("TILE_N=" + std::to_string(WEBGPU_MUL_MAT_TILE_N) + "u");
+        defines.push_back("TILE_K=" + std::to_string(WEBGPU_MUL_MAT_TILE_K) + "u");
+
+        defines.push_back("WORKGROUP_SIZE_M=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_M) + "u");
+        defines.push_back("WORKGROUP_SIZE_N=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_N) + "u");
+
+        // variant suffix for src1 type
+        variant += std::string("_") + (context.src1->type == GGML_TYPE_F32 ? "f32" : "f16");
+
+        auto processed = preprocessor.preprocess(wgsl_mul_mat_id, defines);
+
+        auto decisions       = std::make_shared<ggml_webgpu_mul_mat_shader_decisions>();
+        decisions->tile_k    = WEBGPU_MUL_MAT_TILE_K;
+        decisions->tile_m    = WEBGPU_MUL_MAT_TILE_M;
+        decisions->tile_n    = WEBGPU_MUL_MAT_TILE_N;
+        decisions->wg_size_m = WEBGPU_MUL_MAT_WG_SIZE_M;
+        decisions->wg_size_n = WEBGPU_MUL_MAT_WG_SIZE_N;
+        decisions->wg_size   = WEBGPU_MUL_MAT_WG_SIZE_M * WEBGPU_MUL_MAT_WG_SIZE_N;
+
+        webgpu_pipeline pipeline  = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context          = decisions;
+        mul_mat_id_pipelines[key] = pipeline;
+        return mul_mat_id_pipelines[key];
+    }
+
     webgpu_pipeline get_unary_pipeline(const ggml_webgpu_shader_lib_context & context) {
         const bool                     is_unary = context.dst->op == GGML_OP_UNARY;
         const int                      op       = is_unary ? (int) ggml_get_unary_op(context.dst) : context.dst->op;
-        ggml_webgpu_unary_pipeline_key key      = {
-                 .type     = context.dst->type,
-                 .op       = op,
-                 .is_unary = is_unary,
-                 .inplace  = context.inplace,
-        };
+        ggml_webgpu_unary_pipeline_key key      = {};
+        key.type                                = context.dst->type;
+        key.op                                  = op;
+        key.is_unary                            = is_unary;
+        key.inplace                             = context.inplace;
+        key.ttype                               = (ggml_tri_type) ggml_get_op_params_i32(context.dst, 0);
 
         auto it = unary_pipelines.find(key);
         if (it != unary_pipelines.end()) {
@@ -1088,6 +1771,29 @@ class ggml_webgpu_shader_lib {
             variant += "_inplace";
         }
 
+        if (op == GGML_OP_TRI) {
+            switch (key.ttype) {
+                case GGML_TRI_TYPE_LOWER:
+                    defines.push_back("TRI_TYPE_LOWER");
+                    variant += "_tri_type_lower";
+                    break;
+                case GGML_TRI_TYPE_LOWER_DIAG:
+                    defines.push_back("TRI_TYPE_LOWER_DIAG");
+                    variant += "_tri_type_lower_diag";
+                    break;
+                case GGML_TRI_TYPE_UPPER:
+                    defines.push_back("TRI_TYPE_UPPER");
+                    variant += "_tri_type_upper";
+                    break;
+                case GGML_TRI_TYPE_UPPER_DIAG:
+                    defines.push_back("TRI_TYPE_UPPER_DIAG");
+                    variant += "_tri_upper_diag";
+                    break;
+                default:
+                    GGML_ABORT("Unsupported ggml_tri_type for unary shader");
+            }
+        }
+
         defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
 
         auto processed           = preprocessor.preprocess(wgsl_unary, defines);
@@ -1100,13 +1806,12 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_binary_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_binary_pipeline_key key = {
-            .type        = context.dst->type,
-            .op          = context.dst->op,
-            .inplace     = context.inplace,
-            .overlap     = context.overlap,
-            .src_overlap = context.src_overlap,
-        };
+        ggml_webgpu_binary_pipeline_key key = {};
+        key.type                            = context.dst->type;
+        key.op                              = context.dst->op;
+        key.inplace                         = context.inplace;
+        key.overlap                         = context.overlap;
+        key.src_overlap                     = context.src_overlap;
 
         auto it = binary_pipelines.find(key);
         if (it != binary_pipelines.end()) {
@@ -1155,9 +1860,8 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_concat_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_concat_pipeline_key key = {
-            .type = context.dst->type,
-        };
+        ggml_webgpu_concat_pipeline_key key = {};
+        key.type                            = context.dst->type;
 
         auto it = concat_pipelines.find(key);
         if (it != concat_pipelines.end()) {
@@ -1192,9 +1896,8 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_repeat_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_repeat_pipeline_key key = {
-            .type = context.dst->type,
-        };
+        ggml_webgpu_repeat_pipeline_key key = {};
+        key.type                            = context.dst->type;
 
         auto it = repeat_pipelines.find(key);
         if (it != repeat_pipelines.end()) {
@@ -1233,27 +1936,11 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_flash_attn_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        const bool has_mask  = context.src3 != nullptr;
-        const bool has_sinks = context.src4 != nullptr;
-
-        bool kv_direct = (context.src1->type == GGML_TYPE_F16) && (context.src0->ne[0] % context.sg_mat_k == 0) &&
-                         (context.src1->ne[1] % context.sg_mat_n == 0);
-
-        ggml_webgpu_flash_attn_pipeline_key key = {
-            .kv_type            = context.src1->type,
-            .head_dim_qk        = (uint32_t) context.src0->ne[0],
-            .head_dim_v         = (uint32_t) context.src2->ne[0],
-            .kv_direct          = kv_direct,
-            .has_mask           = has_mask,
-            .has_sinks          = has_sinks,
-            .uses_logit_softcap = (*(float *) &context.dst->op_params[2]) != 0.0f,
-        };
-
-        auto it = flash_attn_pipelines.find(key);
+        const ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context);
+        auto                                      it  = flash_attn_pipelines.find(key);
         if (it != flash_attn_pipelines.end()) {
             return it->second;
         }
-
         std::vector<std::string> defines;
         std::string              variant = "flash_attn";
 
@@ -1302,35 +1989,399 @@ class ggml_webgpu_shader_lib {
         defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n));
         defines.push_back(std::string("SG_MAT_K=") + std::to_string(context.sg_mat_k));
 
-        uint32_t q_tile = context.sg_mat_m;
-        uint32_t kv_tile =
-            std::min(ggml_webgpu_flash_attn_max_kv_tile({ key, context.sg_mat_m, context.sg_mat_n, context.sg_mat_k,
-                                                          context.wg_mem_limit_bytes, context.max_subgroup_size }),
-                     context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES);
+        auto decisions    = std::make_shared<ggml_webgpu_flash_attn_decisions>();
+        decisions->q_tile = context.sg_mat_m;
+
+        const uint32_t min_kv_tile = ggml_webgpu_flash_attn_max_kv_tile(context, key);
+        uint32_t       kv_tile = std::min(min_kv_tile, context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES);
+
         if (key.kv_direct) {
+            kv_tile = std::min(kv_tile, GGML_WEBGPU_KV_SEQ_PAD);
             while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) {
                 kv_tile -= context.sg_mat_n;
             }
         }
 
-        defines.push_back(std::string("Q_TILE=") + std::to_string(q_tile));
-        defines.push_back(std::string("KV_TILE=") + std::to_string(kv_tile));
-
-        uint32_t wg_size = std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE);
-        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-
-        auto processed     = preprocessor.preprocess(wgsl_flash_attn, defines);
-        auto decisions     = std::make_shared<ggml_webgpu_flash_attn_shader_decisions>();
-        decisions->q_tile  = q_tile;
         decisions->kv_tile = kv_tile;
-        decisions->wg_size = wg_size;
+        decisions->wg_size = std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE);
 
-        webgpu_pipeline pipeline  = ggml_webgpu_create_pipeline(device, processed, variant);
+        defines.push_back(std::string("Q_TILE=") + std::to_string(decisions->q_tile));
+        defines.push_back(std::string("KV_TILE=") + std::to_string(decisions->kv_tile));
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(decisions->wg_size));
+
+        webgpu_pipeline pipeline =
+            ggml_webgpu_create_pipeline(device, preprocessor.preprocess(wgsl_flash_attn, defines), variant);
         pipeline.context          = decisions;
         flash_attn_pipelines[key] = pipeline;
         return flash_attn_pipelines[key];
     }
 
+    webgpu_pipeline get_flash_attn_vec_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        const ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context);
+        auto                                      it  = flash_attn_vec_pipelines.find(key);
+        if (it != flash_attn_vec_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "flash_attn_vec";
+
+        switch (key.kv_type) {
+            case GGML_TYPE_F32:
+                defines.push_back("KV_F32");
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("KV_F16");
+                break;
+            case GGML_TYPE_Q4_0:
+                defines.push_back("KV_Q4_0");
+                break;
+            case GGML_TYPE_Q8_0:
+                defines.push_back("KV_Q8_0");
+                break;
+            default:
+                GGML_ABORT("Unsupported KV type for flash attention shader");
+        }
+        variant += std::string("_") + ggml_type_name(key.kv_type);
+
+        if (key.has_mask) {
+            defines.push_back("MASK");
+            defines.push_back("BLK");
+            variant += "_mask_blk";
+        }
+        if (key.has_sinks) {
+            defines.push_back("SINKS");
+            variant += "_sinks";
+        }
+        if (key.uses_logit_softcap) {
+            defines.push_back("LOGIT_SOFTCAP");
+            variant += "_lgsc";
+        }
+        if (key.kv_direct) {
+            defines.push_back("KV_DIRECT");
+            variant += "_kvdirect";
+        }
+
+        defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(key.head_dim_qk));
+        variant += std::string("_hsqk") + std::to_string(key.head_dim_qk);
+
+        defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(key.head_dim_v));
+        variant += std::string("_hsv") + std::to_string(key.head_dim_v);
+
+        defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m));
+        defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n));
+        defines.push_back(std::string("SG_MAT_K=") + std::to_string(context.sg_mat_k));
+        defines.push_back("Q_TILE=1");
+
+        auto decisions     = std::make_shared<ggml_webgpu_flash_attn_vec_decisions>();
+        decisions->kv_tile = ggml_webgpu_flash_attn_vec_get_kv_tile(context);
+        decisions->wg_size = std::max(1u, std::min<uint32_t>(32u, context.max_subgroup_size));
+        uint32_t vec_ne    = 1u;
+
+        // Keep conservative defaults unless this is the f16 vec-split shape family.
+        if (key.kv_type == GGML_TYPE_F16 && key.head_dim_qk == key.head_dim_v) {
+            switch (key.head_dim_qk) {
+                case 64:
+                case 192:
+                case 576:
+                    vec_ne = 2u;
+                    break;
+                case 96:
+                    vec_ne = 4u;
+                    break;
+                default:
+                    break;
+            }
+        }
+
+        defines.push_back(std::string("KV_TILE=") + std::to_string(decisions->kv_tile));
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(decisions->wg_size));
+        defines.push_back(std::string("VEC_NE=") + std::to_string(vec_ne) + "u");
+
+        webgpu_pipeline pipeline =
+            ggml_webgpu_create_pipeline(device, preprocessor.preprocess(wgsl_flash_attn_vec_split, defines), variant);
+        pipeline.context              = decisions;
+        flash_attn_vec_pipelines[key] = pipeline;
+        return flash_attn_vec_pipelines[key];
+    }
+
+    webgpu_pipeline get_flash_attn_blk_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_flash_attn_blk_pipeline_key key = {};
+        key.kv_tile                                 = ggml_webgpu_flash_attn_vec_get_kv_tile(context);
+        auto it                                     = flash_attn_blk_pipelines.find(key);
+        if (it != flash_attn_blk_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "flash_attn_vec_blk";
+
+        defines.push_back(std::string("KV_TILE=") + std::to_string(key.kv_tile));
+        variant += std::string("_kvt") + std::to_string(key.kv_tile);
+
+        uint32_t wg_size = 1;
+        while ((wg_size << 1) <= context.max_wg_size) {
+            wg_size <<= 1;
+        }
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        variant += std::string("_wg") + std::to_string(wg_size);
+
+        webgpu_pipeline pipeline =
+            ggml_webgpu_create_pipeline(device, preprocessor.preprocess(wgsl_flash_attn_vec_blk, defines), variant);
+        flash_attn_blk_pipelines[key] = pipeline;
+        return flash_attn_blk_pipelines[key];
+    }
+
+    webgpu_pipeline get_flash_attn_vec_reduce_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_flash_attn_vec_reduce_pipeline_key key = {};
+        key.head_dim_v                                     = (uint32_t) context.src2->ne[0];
+        key.wg_size                                        = context.max_wg_size;
+        auto it                                            = flash_attn_vec_reduce_pipelines.find(key);
+        if (it != flash_attn_vec_reduce_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "flash_attn_vec_reduce";
+
+        defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(key.head_dim_v));
+        variant += std::string("_hsv") + std::to_string(key.head_dim_v);
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+        variant += std::string("_wg") + std::to_string(context.max_wg_size);
+
+        webgpu_pipeline pipeline =
+            ggml_webgpu_create_pipeline(device, preprocessor.preprocess(wgsl_flash_attn_vec_reduce, defines), variant);
+        flash_attn_vec_reduce_pipelines[key] = pipeline;
+        return flash_attn_vec_reduce_pipelines[key];
+    }
+
+    webgpu_pipeline get_cpy_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_cpy_pipeline_key key = {};
+        key.src_type                     = context.src0->type;
+        key.dst_type                     = context.dst->type;
+
+        auto it = cpy_pipelines.find(key);
+        if (it != cpy_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "cpy";
+
+        switch (key.src_type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC_F16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported src type for cpy shader");
+        }
+
+        switch (key.dst_type) {
+            case GGML_TYPE_F32:
+                defines.push_back("DST_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("DST_F16");
+                variant += "_f16";
+                break;
+            case GGML_TYPE_I32:
+                defines.push_back("DST_I32");
+                variant += "_i32";
+                break;
+            default:
+                GGML_ABORT("Unsupported dst type for cpy shader");
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_cpy, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        cpy_pipelines[key]       = pipeline;
+        return cpy_pipelines[key];
+    }
+
+    webgpu_pipeline get_glu_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_glu_pipeline_key key = {};
+        key.glu_op                       = ggml_get_glu_op(context.dst);
+        key.type                         = context.dst->type;
+        key.split                        = (context.src1 != nullptr);
+
+        auto it = glu_pipelines.find(key);
+        if (it != glu_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "glu";
+
+        switch (key.glu_op) {
+            case GGML_GLU_OP_REGLU:
+                defines.push_back("OP_REGLU");
+                variant += "_reglu";
+                break;
+            case GGML_GLU_OP_GEGLU:
+                defines.push_back("OP_GEGLU");
+                variant += "_geglu";
+                break;
+            case GGML_GLU_OP_SWIGLU:
+                defines.push_back("OP_SWIGLU");
+                variant += "_swiglu";
+                break;
+            case GGML_GLU_OP_SWIGLU_OAI:
+                defines.push_back("OP_SWIGLU_OAI");
+                variant += "_swiglu_oai";
+                break;
+            case GGML_GLU_OP_GEGLU_ERF:
+                defines.push_back("OP_GEGLU_ERF");
+                variant += "_geglu_erf";
+                break;
+            case GGML_GLU_OP_GEGLU_QUICK:
+                defines.push_back("OP_GEGLU_QUICK");
+                variant += "_geglu_quick";
+                break;
+            default:
+                GGML_ABORT("Unsupported GLU op");
+        }
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("TYPE_F16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for GLU shader");
+        }
+
+        if (key.split) {
+            variant += "_split";
+        } else {
+            defines.push_back("NO_SPLIT");
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_glu, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        glu_pipelines[key]       = pipeline;
+        return glu_pipelines[key];
+    }
+
+    webgpu_pipeline get_rope_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_rope_pipeline_key key = {};
+        key.type                          = context.dst->type;
+        key.inplace                       = context.inplace;
+        key.has_ff                        = (context.src2 != nullptr);
+
+        auto it = rope_pipelines.find(key);
+        if (it != rope_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "rope";
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("TYPE_F16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for ROPE shader");
+        }
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        }
+
+        if (key.has_ff) {
+            defines.push_back("FF_FUNC");
+            variant += "_ff";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_rope, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        rope_pipelines[key]      = pipeline;
+        return rope_pipelines[key];
+    }
+
+    webgpu_pipeline get_soft_max_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_soft_max_pipeline_key key = {};
+        key.mask_type                         = context.src1 ? context.src1->type : GGML_TYPE_F32;
+        key.has_mask                          = (context.src1 != nullptr);
+        key.has_sink                          = (context.src2 != nullptr);
+        key.inplace                           = context.inplace;
+
+        auto it = soft_max_pipelines.find(key);
+        if (it != soft_max_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "soft_max";
+
+        if (key.has_mask) {
+            defines.push_back("HAS_MASK");
+            switch (key.mask_type) {
+                case GGML_TYPE_F32:
+                    defines.push_back("MASK_F32");
+                    variant += "_mask_f32";
+                    break;
+                case GGML_TYPE_F16:
+                    defines.push_back("MASK_F16");
+                    variant += "_mask_f16";
+                    break;
+                default:
+                    GGML_ABORT("Unsupported type for SOFT_MAX shader");
+            }
+        }
+
+        if (key.has_sink) {
+            defines.push_back("HAS_SINK");
+            variant += "_sink";
+        }
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_soft_max, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        soft_max_pipelines[key]  = pipeline;
+        return soft_max_pipelines[key];
+    }
+
   private:
     static webgpu_pipeline ggml_webgpu_create_pipeline(wgpu::Device & device,
                                                        std::string    shader_code,
@@ -1350,25 +2401,6 @@ class ggml_webgpu_shader_lib {
         pipeline_desc.layout             = nullptr;  // nullptr means auto layout
         return { device.CreateComputePipeline(&pipeline_desc), label };
     }
-
-    static uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_flash_attn_shader_lib_context & context) {
-        const size_t limit_bytes = context.wg_mem_limit_bytes;
-        const size_t q_tile      = context.sg_mat_m;
-        const size_t base_q_bytes =
-            (context.key.head_dim_qk + context.key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
-            2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
-        size_t bytes_per_kv = 0;
-        if (!context.key.kv_direct) {
-            bytes_per_kv += std::max(context.key.head_dim_qk, context.key.head_dim_v);
-        }
-        if (context.key.has_mask) {
-            bytes_per_kv += q_tile;
-        }
-        bytes_per_kv += q_tile;
-        bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
-        const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv;
-        return (max_kv_tile / context.sg_mat_n) * context.sg_mat_n;
-    }
 };
 
 #endif  // GGML_WEBGPU_SHADER_LIB_HPP
diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp
index 3976a171d166a7c7d863cbf7b5c91a0981d16aaa..aa20a745e0addb6d1d7d6b9705cf5bb13d08cda6 100644
--- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp
+++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp
@@ -16,7 +16,6 @@
 #include <webgpu/webgpu_cpp.h>
 
 #include <atomic>
-#include <condition_variable>
 #include <cstdint>
 #include <cstring>
 #ifdef GGML_WEBGPU_GPU_PROFILE
@@ -25,7 +24,6 @@
 #if defined(GGML_WEBGPU_DEBUG) || defined(GGML_WEBGPU_CPU_PROFILE) || defined(GGML_WEBGPU_GPU_PROFILE)
 #    include <iostream>
 #endif
-#include <map>
 #include <memory>
 #include <mutex>
 #include <optional>
@@ -43,6 +41,12 @@ static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim
     wg_x = CEIL_DIV(total_wg, wg_y);
 }
 
+static inline uint32_t ggml_webgpu_u32_from_f32(float value) {
+    uint32_t bits;
+    memcpy(&bits, &value, sizeof(bits));
+    return bits;
+}
+
 #ifdef GGML_WEBGPU_DEBUG
 #    define WEBGPU_LOG_DEBUG(msg)  std::cout << msg << std::endl
 #    define WEBGPU_DEBUG_BUF_ELEMS 512
@@ -75,21 +79,19 @@ static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim
 #endif  // GGML_WEBGPU_CPU_PROFILE
 
 #ifdef GGML_WEBGPU_GPU_PROFILE
-#    define WEBGPU_NUM_TIMESTAMP_QUERY_BUFS       32
-#    define WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES 16  // e.g. enough for two timestamps
+#    define WEBGPU_MAX_PROFILE_QUERY_COUNT        4096u
+#    define WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES (WEBGPU_MAX_PROFILE_QUERY_COUNT * sizeof(uint64_t))
 #endif
 
 /* Constants */
 
-#define WEBGPU_NUM_PARAM_BUFS                96u
-#define WEBGPU_COMMAND_SUBMIT_BATCH_SIZE     32u
-#define WEBGPU_WAIT_ANY_TIMEOUT_MS           0
-// Maximum number of in-flight submissions per-thread, to avoid exhausting the
-// parameter buffer pool
-#define WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD  (WEBGPU_NUM_PARAM_BUFS / WEBGPU_COMMAND_SUBMIT_BATCH_SIZE)
-#define WEBGPU_PARAMS_BUF_SIZE_BYTES         128  // enough for 32 parameters
-#define WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES 4
-#define WEBGPU_STORAGE_BUF_BINDING_MULT      4    // a storage buffer binding size must be a multiple of 4
+#define WEBGPU_DEFAULT_COMMAND_SUBMIT_BATCH_SIZE 64u
+#define WEBGPU_NUM_PARAM_SLOT_SAFETY_MARGIN      10u
+#define WEBGPU_RUNTIME_WAIT_TIMEOUT_MS           30000u
+#define WEBGPU_RUNTIME_WAIT_TIMEOUT_NS           (WEBGPU_RUNTIME_WAIT_TIMEOUT_MS * 1e6)
+#define WEBGPU_PARAMS_BUF_SIZE_BYTES             128  // enough for 32 parameters
+#define WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES     4
+#define WEBGPU_STORAGE_BUF_BINDING_MULT          4    // a storage buffer binding size must be a multiple of 4
 
 // For operations which process a row in parallel, this seems like a reasonable
 // default
@@ -122,164 +124,64 @@ static void ggml_webgpu_create_buffer(wgpu::Device &    device,
                                       wgpu::BufferUsage usage,
                                       const char *      label);
 
-// Holds a pool of parameter buffers for WebGPU operations
-struct webgpu_buf_pool {
-    std::vector<wgpu::Buffer> free;
-
-    // The pool must be synchronized because
-    // 1. The memset pool is shared globally by every ggml buffer,
-    // since allocating a pool per ggml buffer would consume too much memory.
-    // 2. For the per-thread buffer pools in webgpu_context,
-    // buffers are allocated and freed in Dawn callbacks,
-    // which can run on a different thread than the calling thread.
-    std::mutex              mutex;
-    std::condition_variable cv;
-    size_t                  cur_pool_size;
-    size_t                  max_pool_size;
-    wgpu::Device            device;
-    wgpu::BufferUsage       dev_buf_usage;
-    size_t                  buf_size;
-    bool                    should_grow;
-
-    void init(wgpu::Device      device,
-              int               num_bufs,
-              size_t            buf_size,
-              wgpu::BufferUsage dev_buf_usage,
-              bool              should_grow   = false,
-              size_t            max_pool_size = WEBGPU_NUM_PARAM_BUFS * 2) {
-        this->max_pool_size = max_pool_size;
-        this->cur_pool_size = num_bufs;
-        this->device        = device;
-        this->dev_buf_usage = dev_buf_usage;
-        this->buf_size      = buf_size;
-        this->should_grow   = should_grow;
-        for (int i = 0; i < num_bufs; i++) {
-            wgpu::Buffer dev_buf;
-            ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_pool_buf");
-            free.push_back(dev_buf);
-        }
-    }
-
-    wgpu::Buffer alloc_bufs() {
-        std::unique_lock<std::mutex> lock(mutex);
-        if (!free.empty()) {
-            wgpu::Buffer buf = free.back();
-            free.pop_back();
-            return buf;
+// Slot-based parameter arena for compute graph encoding. Each encoded kernel
+// gets a unique uniform-buffer slice within the current batch, and the slot
+// cursor is reset immediately after that batch is submitted.
+struct webgpu_param_arena {
+    wgpu::Buffer buffer;
+    size_t       slot_stride = 0;
+    size_t       slot_size   = 0;
+    uint32_t     slot_count  = 0;
+    uint32_t     next_slot   = 0;
+
+    void init(wgpu::Device device, size_t slot_size, uint32_t slot_count, size_t alignment) {
+        this->slot_stride = ROUNDUP_POW2(slot_size, alignment);
+        this->slot_size   = slot_size;
+        this->slot_count  = slot_count;
+        this->next_slot   = 0;
+
+        ggml_webgpu_create_buffer(device, buffer, this->slot_stride * slot_count,
+                                  wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::Uniform, "ggml_webgpu_param_arena");
+    }
+
+    size_t alloc_slot(size_t size) {
+        GGML_ASSERT(size <= slot_size);
+        if (next_slot >= slot_count) {
+            GGML_ABORT("ggml_webgpu: parameter arena exhausted while encoding a batch");
         }
 
-        // Try growing the pool if no free buffers
-        if (free.empty() && cur_pool_size < max_pool_size && should_grow) {
-            cur_pool_size++;
-            wgpu::Buffer dev_buf;
-            ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_pool_buf");
-
-            if (!dev_buf) {
-                GGML_ABORT("webgpu_buf_pool: failed to allocate buffers");
-            }
-            return dev_buf;
-        }
-        cv.wait(lock, [this] { return !free.empty(); });
-        wgpu::Buffer buf = free.back();
-        free.pop_back();
-        return buf;
+        return slot_stride * next_slot++;
     }
 
-    void free_bufs(std::vector<wgpu::Buffer> bufs) {
-        std::lock_guard<std::mutex> lock(mutex);
-        free.insert(free.end(), bufs.begin(), bufs.end());
-        cv.notify_all();
-    }
+    void reset() { next_slot = 0; }
 
     void cleanup() {
-        std::lock_guard<std::mutex> lock(mutex);
-        for (auto & buf : free) {
-            if (buf) {
-                buf.Destroy();
-            }
+        if (buffer) {
+            buffer.Destroy();
+            buffer = nullptr;
         }
-        free.clear();
     }
 
-    ~webgpu_buf_pool() { this->cleanup(); }
+    ~webgpu_param_arena() { this->cleanup(); }
 };
 
+struct webgpu_encoded_op {
+    uint32_t num_kernels = 0;
 #ifdef GGML_WEBGPU_GPU_PROFILE
-struct webgpu_gpu_profile_bufs {
-    wgpu::Buffer   host_buf;
-    wgpu::Buffer   dev_buf;
-    wgpu::QuerySet query_set;
-};
-
-// Holds a pool of parameter buffers for WebGPU operations
-struct webgpu_gpu_profile_buf_pool {
-    std::vector<webgpu_gpu_profile_bufs> free;
-
-    std::mutex mutex;
-
-    std::condition_variable cv;
-
-    void init(wgpu::Device      device,
-              int               num_bufs,
-              size_t            buf_size,
-              wgpu::BufferUsage dev_buf_usage,
-              wgpu::BufferUsage host_buf_usage) {
-        for (int i = 0; i < num_bufs; i++) {
-            wgpu::Buffer host_buf;
-            wgpu::Buffer dev_buf;
-            ggml_webgpu_create_buffer(device, host_buf, buf_size, host_buf_usage, "ggml_webgpu_host_profile_buf");
-            ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_profile_buf");
-            // Create a query set for 2 timestamps
-            wgpu::QuerySetDescriptor ts_query_set_desc = {};
-
-            ts_query_set_desc.type      = wgpu::QueryType::Timestamp;
-            ts_query_set_desc.count     = 2;
-            wgpu::QuerySet ts_query_set = device.CreateQuerySet(&ts_query_set_desc);
-
-            free.push_back({ host_buf, dev_buf, ts_query_set });
-        }
-    }
-
-    webgpu_gpu_profile_bufs alloc_bufs() {
-        std::unique_lock<std::mutex> lock(mutex);
-        cv.wait(lock, [this] { return !free.empty(); });
-        webgpu_gpu_profile_bufs bufs = free.back();
-        free.pop_back();
-        return bufs;
-    }
-
-    void free_bufs(std::vector<webgpu_gpu_profile_bufs> bufs) {
-        std::lock_guard<std::mutex> lock(mutex);
-        free.insert(free.end(), bufs.begin(), bufs.end());
-        cv.notify_all();
-    }
-
-    void cleanup() {
-        std::lock_guard<std::mutex> lock(mutex);
-        for (auto & bufs : free) {
-            bufs.host_buf.Destroy();
-            bufs.dev_buf.Destroy();
-            bufs.query_set.Destroy();
-        }
-        free.clear();
-    }
-
-    ~webgpu_gpu_profile_buf_pool() { this->cleanup(); }
-};
+    std::vector<std::string> pipeline_names;
 #endif
+};
 
-struct webgpu_command {
-    uint32_t                  num_kernels;
-    wgpu::CommandBuffer       commands;
-    std::vector<wgpu::Buffer> params_bufs;
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    webgpu_gpu_profile_bufs timestamp_query_bufs;
-    std::string             pipeline_name;
-#endif
+struct webgpu_dispatch_desc {
+    webgpu_pipeline                   pipeline;
+    std::vector<uint32_t>             params;
+    std::vector<wgpu::BindGroupEntry> bind_group_entries;
+    std::pair<uint32_t, uint32_t>     workgroups = { 1, 1 };
 };
 
 struct webgpu_capabilities {
     wgpu::Limits limits;
+    bool         supports_subgroups       = false;
     bool         supports_subgroup_matrix = false;
 
     uint32_t sg_mat_m = 0;
@@ -297,15 +199,17 @@ struct webgpu_global_context_struct {
     wgpu::Adapter  adapter;
     wgpu::Device   device;
     wgpu::Queue    queue;
+    uint32_t       command_submit_batch_size = WEBGPU_DEFAULT_COMMAND_SUBMIT_BATCH_SIZE;
+    uint32_t       max_inflight_batches      = UINT32_MAX;
 
     webgpu_capabilities  capabilities;
     // Shared buffer to move data from device to host
     wgpu::Buffer         get_tensor_staging_buf;
-    // Global mutex for pipeline and staging buffer, will be refactored to exclude pipeline caches.
+    // Global mutex for get_tensor
     std::recursive_mutex mutex;
 
-    webgpu_buf_pool                memset_buf_pool;
-    std::map<int, webgpu_pipeline> memset_pipelines;  // variant or type index
+    wgpu::Buffer    memset_params_buf;
+    webgpu_pipeline memset_pipeline;
 
 #ifdef GGML_WEBGPU_CPU_PROFILE
     // Profiling: labeled CPU time in ms (total)
@@ -317,8 +221,6 @@ struct webgpu_global_context_struct {
 #ifdef GGML_WEBGPU_GPU_PROFILE
     // Profiling: per-shader GPU time in ms
     std::unordered_map<std::string, double> shader_gpu_time_ms;
-    // Profiling: pool of timestamp query buffers (one per operation)
-    webgpu_gpu_profile_buf_pool             timestamp_query_buf_pool;
 #endif
 
 #ifdef GGML_WEBGPU_DEBUG
@@ -331,6 +233,10 @@ struct webgpu_global_context_struct {
             this->get_tensor_staging_buf.Destroy();
             this->get_tensor_staging_buf = nullptr;
         }
+        if (this->memset_params_buf) {
+            this->memset_params_buf.Destroy();
+            this->memset_params_buf = nullptr;
+        }
 #ifdef GGML_WEBGPU_DEBUG
         if (this->debug_host_buf) {
             this->debug_host_buf.Destroy();
@@ -346,13 +252,6 @@ struct webgpu_global_context_struct {
 
 typedef std::shared_ptr<webgpu_global_context_struct> webgpu_global_context;
 
-struct webgpu_submission {
-    wgpu::FutureWaitInfo submit_done;
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    std::vector<wgpu::FutureWaitInfo> profile_futures;
-#endif
-};
-
 // All the base objects needed to run operations on a WebGPU device
 struct webgpu_context_struct {
     // Points to global instances owned by ggml_backend_webgpu_reg_context
@@ -360,19 +259,45 @@ struct webgpu_context_struct {
 
     std::unique_ptr<ggml_webgpu_shader_lib> shader_lib;
 
-    webgpu_buf_pool param_buf_pool;
-    wgpu::Buffer    set_rows_dev_error_buf;
-    wgpu::Buffer    set_rows_host_error_buf;
-
-    std::map<int, std::map<int, webgpu_pipeline>> cpy_pipelines;                      // src_type, dst_type
+    webgpu_param_arena       param_arena;
+    wgpu::Buffer             set_rows_dev_error_buf;
+    wgpu::Buffer             set_rows_host_error_buf;
+    wgpu::CommandEncoder     active_command_encoder;
+    wgpu::ComputePassEncoder active_compute_pass;
 
-    std::map<int, webgpu_pipeline>                               rms_norm_pipelines;  // inplace
-    std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> rope_pipelines;      // type, ff, inplace
-    std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> glu_pipelines;       // glu_op, type, split
+    size_t memset_bytes_per_thread;
 
-    std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> soft_max_pipelines;  // mask_type, has_sink, inplace
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    wgpu::Buffer   profile_timestamp_dev_buf;
+    wgpu::Buffer   profile_timestamp_host_buf;
+    wgpu::QuerySet profile_timestamp_query_set;
+    uint32_t       profile_timestamp_query_count = 0;
+#endif
 
-    size_t memset_bytes_per_thread;
+    ~webgpu_context_struct() {
+#ifdef GGML_WEBGPU_GPU_PROFILE
+        if (this->profile_timestamp_host_buf) {
+            this->profile_timestamp_host_buf.Destroy();
+            this->profile_timestamp_host_buf = nullptr;
+        }
+        if (this->profile_timestamp_dev_buf) {
+            this->profile_timestamp_dev_buf.Destroy();
+            this->profile_timestamp_dev_buf = nullptr;
+        }
+        if (this->profile_timestamp_query_set) {
+            this->profile_timestamp_query_set.Destroy();
+            this->profile_timestamp_query_set = nullptr;
+        }
+#endif
+        if (this->set_rows_host_error_buf) {
+            this->set_rows_host_error_buf.Destroy();
+            this->set_rows_host_error_buf = nullptr;
+        }
+        if (this->set_rows_dev_error_buf) {
+            this->set_rows_dev_error_buf.Destroy();
+            this->set_rows_dev_error_buf = nullptr;
+        }
+    }
 };
 
 typedef std::shared_ptr<webgpu_context_struct> webgpu_context;
@@ -451,99 +376,143 @@ static void ggml_webgpu_create_buffer(wgpu::Device &    device,
     buffer = device.CreateBuffer(&buffer_desc);
 }
 
-/** End WebGPU object initializations */
+static size_t ggml_webgpu_tensor_offset(const ggml_tensor * tensor) {
+    return webgpu_tensor_offset(tensor) + tensor->view_offs;
+}
 
-/** WebGPU Actions */
+static wgpu::Buffer ggml_webgpu_tensor_buf(const ggml_tensor * tensor) {
+    ggml_backend_webgpu_buffer_context * ctx = (ggml_backend_webgpu_buffer_context *) tensor->buffer->context;
+    return ctx->buffer;
+}
 
-static bool ggml_backend_webgpu_handle_wait_status(wgpu::WaitStatus status, bool allow_timeout = false) {
-    switch (status) {
-        case wgpu::WaitStatus::Success:
-            return true;
-        case wgpu::WaitStatus::TimedOut:
-            if (allow_timeout) {
-                return false;
-            }
-            GGML_LOG_ERROR("ggml_webgpu: WaitAny timed out unexpectedly\n");
-            return false;
-        case wgpu::WaitStatus::Error:
-            GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n");
-            return false;
-        default:
-            GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an unknown status\n");
-            return false;
-    }
+static size_t ggml_webgpu_tensor_misalignment(webgpu_context & ctx, const ggml_tensor * t) {
+    size_t offset = ggml_webgpu_tensor_offset(t);
+    return offset & (ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
 }
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-static void ggml_backend_webgpu_erase_completed_futures(std::vector<wgpu::FutureWaitInfo> & futures) {
-    futures.erase(std::remove_if(futures.begin(), futures.end(),
-                                 [](const wgpu::FutureWaitInfo & info) { return info.completed; }),
-                  futures.end());
+static bool ggml_webgpu_flash_attn_use_vec(webgpu_global_context & global_ctx,
+                                           const ggml_tensor *     Q,
+                                           const ggml_tensor *     K,
+                                           const ggml_tensor *     V) {
+    const size_t   alignment = global_ctx->capabilities.limits.minStorageBufferOffsetAlignment;
+    const uint32_t k_offset_elems =
+        (uint32_t) ((ggml_webgpu_tensor_offset(K) & (alignment - 1)) / ggml_type_size(K->type));
+    const uint32_t v_offset_elems =
+        (uint32_t) ((ggml_webgpu_tensor_offset(V) & (alignment - 1)) / ggml_type_size(V->type));
+    const bool f16_vec4_aligned = (k_offset_elems % 4u == 0u) && (v_offset_elems % 4u == 0u);
+    const bool kv_vec_type_supported =
+        K->type == GGML_TYPE_F16 || K->type == GGML_TYPE_Q4_0 || K->type == GGML_TYPE_Q8_0;
+
+    return (Q->ne[1] < 20) && (Q->ne[0] % 32 == 0) && (V->ne[0] % 4 == 0) && kv_vec_type_supported &&
+           (K->type != GGML_TYPE_F16 || f16_vec4_aligned) && (V->type == K->type);
 }
 
-static void ggml_backend_webgpu_wait_profile_futures(webgpu_global_context &             ctx,
-                                                     std::vector<wgpu::FutureWaitInfo> & futures,
-                                                     bool                                block) {
-    if (futures.empty()) {
-        return;
-    }
+static size_t ggml_webgpu_tensor_align_offset(webgpu_context & ctx, const ggml_tensor * t) {
+    size_t offset = ggml_webgpu_tensor_offset(t);
+    return offset & ~(ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
+}
 
-    uint64_t timeout_ms = block ? UINT64_MAX : 0;
-    if (block) {
-        while (!futures.empty()) {
-            auto waitStatus = ctx->instance.WaitAny(futures.size(), futures.data(), timeout_ms);
-            if (ggml_backend_webgpu_handle_wait_status(waitStatus)) {
-                ggml_backend_webgpu_erase_completed_futures(futures);
-            }
-        }
-    } else {
-        auto waitStatus = ctx->instance.WaitAny(futures.size(), futures.data(), timeout_ms);
-        if (ggml_backend_webgpu_handle_wait_status(waitStatus, true)) {
-            ggml_backend_webgpu_erase_completed_futures(futures);
-        }
-    }
+static size_t ggml_webgpu_tensor_binding_size(webgpu_context & ctx, ggml_tensor * t) {
+    return ROUNDUP_POW2(ggml_nbytes(t) + ggml_webgpu_tensor_misalignment(ctx, t), WEBGPU_STORAGE_BUF_BINDING_MULT);
 }
-#endif
 
-// Wait for the queue to finish processing all submitted work
-static void ggml_backend_webgpu_wait(webgpu_global_context &          ctx,
-                                     std::vector<webgpu_submission> & subs,
-                                     bool                             block = true) {
-    if (subs.empty()) {
-        return;
-    }
+// Used to determine if two tensors are the same for in-place operations
+static bool ggml_webgpu_tensor_equal(ggml_tensor * a, ggml_tensor * b) {
+    return (ggml_webgpu_tensor_buf(a).Get() == ggml_webgpu_tensor_buf(b).Get()) &&
+           (ggml_webgpu_tensor_offset(a) == ggml_webgpu_tensor_offset(b));
+}
 
-    bool blocking_wait = block || subs.size() >= WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD;
-    while (blocking_wait) {
-        auto waitStatus = ctx->instance.WaitAny(1, &subs[0].submit_done, 0);
-        if (ggml_backend_webgpu_handle_wait_status(waitStatus, true)) {
-#ifdef GGML_WEBGPU_GPU_PROFILE
-            ggml_backend_webgpu_wait_profile_futures(ctx, subs[0].profile_futures, true);
-#endif
-            subs.erase(subs.begin());
-        }
-        blocking_wait = (block && !subs.empty()) || subs.size() >= WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD;
-    }
+// Used to determine if two tensors share the same buffer and their byte ranges overlap,
+static bool ggml_webgpu_tensor_overlap(ggml_tensor * a, ggml_tensor * b) {
+    return (ggml_webgpu_tensor_buf(a).Get() == ggml_webgpu_tensor_buf(b).Get()) &&
+           ggml_webgpu_tensor_offset(a) < (ggml_webgpu_tensor_offset(b) + ggml_nbytes(b)) &&
+           ggml_webgpu_tensor_offset(b) < (ggml_webgpu_tensor_offset(a) + ggml_nbytes(a));
+}
 
-    if (subs.empty()) {
-        return;
-    }
+struct binary_overlap_flags {
+    bool inplace;  // src0 == dst
+    bool overlap;  // src1 == dst
+    bool src_overlap;
+};
 
-    // Poll each submit future once and remove completed submissions.
-    for (auto sub = subs.begin(); sub != subs.end();) {
-        auto waitStatus = ctx->instance.WaitAny(1, &sub->submit_done, 0);
-        bool success    = ggml_backend_webgpu_handle_wait_status(waitStatus, true);
-#ifdef GGML_WEBGPU_GPU_PROFILE
-        ggml_backend_webgpu_wait_profile_futures(ctx, sub->profile_futures, false);
-        if (success && sub->profile_futures.empty()) {
-#else
-        if (success) {
-#endif
-            sub = subs.erase(sub);
-        } else {
-            ++sub;
-        }
+static binary_overlap_flags ggml_webgpu_detect_binary_overlap(ggml_tensor * src0,
+                                                              ggml_tensor * src1,
+                                                              ggml_tensor * dst) {
+    binary_overlap_flags flags = {};
+    flags.inplace              = ggml_webgpu_tensor_equal(src0, dst);
+    flags.overlap              = ggml_webgpu_tensor_overlap(src1, dst);
+    flags.src_overlap          = ggml_webgpu_tensor_overlap(src0, src1);
+
+    return flags;
+}
+
+static wgpu::BindGroupEntry ggml_webgpu_make_bind_group_entry(uint32_t     binding,
+                                                              wgpu::Buffer buffer,
+                                                              uint64_t     offset,
+                                                              uint64_t     size) {
+    wgpu::BindGroupEntry entry = {};
+    entry.binding              = binding;
+    entry.buffer               = std::move(buffer);
+    entry.offset               = offset;
+    entry.size                 = size;
+    return entry;
+}
+
+static wgpu::BindGroupEntry ggml_webgpu_make_tensor_bind_group_entry(webgpu_context & ctx,
+                                                                     uint32_t         binding,
+                                                                     ggml_tensor *    tensor) {
+    return ggml_webgpu_make_bind_group_entry(binding, ggml_webgpu_tensor_buf(tensor),
+                                             ggml_webgpu_tensor_align_offset(ctx, tensor),
+                                             ggml_webgpu_tensor_binding_size(ctx, tensor));
+}
+
+/** End WebGPU object initializations */
+
+/** WebGPU Actions */
+
+template <typename T>
+static void ggml_backend_webgpu_check_wait_status(wgpu::WaitStatus wait_status,
+                                                  T                callback_status,
+                                                  T                success_status,
+                                                  const char *     wait_name,
+                                                  const char *     failure_name,
+                                                  const char *     callback_message) {
+    if (wait_status == wgpu::WaitStatus::TimedOut) {
+        GGML_ABORT("ggml_webgpu: %s timed out after %u ms\n", wait_name, WEBGPU_RUNTIME_WAIT_TIMEOUT_MS);
+    }
+    if (wait_status == wgpu::WaitStatus::Error) {
+        GGML_ABORT("ggml_webgpu: %s failed\n", wait_name);
     }
+    if (callback_status != success_status) {
+        GGML_ABORT("ggml_webgpu: %s failed with status %d: %s\n", failure_name, static_cast<int>(callback_status),
+                   callback_message);
+    }
+}
+
+// TODO: these next two functions may want tuning across different platforms and workloads,
+static uint32_t ggml_backend_webgpu_get_max_inflight_batches() {
+    return UINT32_MAX;
+}
+
+static uint32_t ggml_backend_webgpu_get_command_submit_batch_size() {
+    return WEBGPU_DEFAULT_COMMAND_SUBMIT_BATCH_SIZE;
+}
+
+static void ggml_backend_webgpu_wait_queue(webgpu_global_context & ctx) {
+    wgpu::QueueWorkDoneStatus callback_status = wgpu::QueueWorkDoneStatus::Error;
+    std::string               callback_message;
+
+    const wgpu::WaitStatus wait_status = ctx->instance.WaitAny(
+        ctx->queue.OnSubmittedWorkDone(
+            wgpu::CallbackMode::AllowSpontaneous,
+            [&callback_status, &callback_message](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) {
+                callback_status  = status;
+                callback_message = std::string(message);
+            }),
+        WEBGPU_RUNTIME_WAIT_TIMEOUT_NS);
+
+    ggml_backend_webgpu_check_wait_status(wait_status, callback_status, wgpu::QueueWorkDoneStatus::Success,
+                                          "Queue wait", "Queue work", callback_message.c_str());
 }
 
 static void ggml_backend_webgpu_map_buffer(webgpu_global_context & ctx,
@@ -551,14 +520,31 @@ static void ggml_backend_webgpu_map_buffer(webgpu_global_context & ctx,
                                            wgpu::MapMode           mode,
                                            size_t                  offset,
                                            size_t                  size) {
-    ctx->instance.WaitAny(buffer.MapAsync(mode, offset, size, wgpu::CallbackMode::AllowSpontaneous,
-                                          [](wgpu::MapAsyncStatus status, wgpu::StringView message) {
-                                              if (status != wgpu::MapAsyncStatus::Success) {
-                                                  GGML_LOG_ERROR("ggml_webgpu: Failed to map buffer: %s\n",
-                                                                 message.data);
-                                              }
-                                          }),
-                          UINT64_MAX);
+    wgpu::MapAsyncStatus callback_status = wgpu::MapAsyncStatus::Error;
+    std::string          callback_message;
+
+    const wgpu::WaitStatus wait_status = ctx->instance.WaitAny(
+        buffer.MapAsync(mode, offset, size, wgpu::CallbackMode::AllowSpontaneous,
+                        [&callback_status, &callback_message](wgpu::MapAsyncStatus status, wgpu::StringView message) {
+                            callback_status  = status;
+                            callback_message = std::string(message);
+                        }),
+        WEBGPU_RUNTIME_WAIT_TIMEOUT_NS);
+
+    ggml_backend_webgpu_check_wait_status(wait_status, callback_status, wgpu::MapAsyncStatus::Success,
+                                          "Buffer map wait", "Buffer map", callback_message.c_str());
+}
+
+static void ggml_backend_webgpu_submit_commands(webgpu_context &          ctx,
+                                                const wgpu::CommandBuffer commands,
+                                                uint32_t &                num_inflight_batches) {
+    if (num_inflight_batches >= ctx->global_ctx->max_inflight_batches) {
+        ggml_backend_webgpu_wait_queue(ctx->global_ctx);
+        num_inflight_batches = 0;
+    }
+
+    ctx->global_ctx->queue.Submit(1, &commands);
+    num_inflight_batches++;
 }
 
 #ifdef GGML_WEBGPU_DEBUG
@@ -577,147 +563,79 @@ static void ggml_backend_webgpu_debug(webgpu_global_context & ctx) {
 }
 #endif
 
-static webgpu_submission ggml_backend_webgpu_submit(webgpu_global_context &       ctx,
-                                                    std::vector<webgpu_command> & commands,
-                                                    webgpu_buf_pool &             param_buf_pool) {
-    std::vector<wgpu::CommandBuffer> command_buffers;
-    std::vector<wgpu::Buffer>        params_bufs;
-    webgpu_submission                submission;
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    std::vector<std::pair<std::string, webgpu_gpu_profile_bufs>> pipeline_name_and_ts_bufs;
-#endif
-
-    for (const auto & command : commands) {
-        command_buffers.push_back(command.commands);
-        params_bufs.insert(params_bufs.end(), command.params_bufs.begin(), command.params_bufs.end());
-    }
-    ctx->queue.Submit(command_buffers.size(), command_buffers.data());
-
-    wgpu::Future p_f = ctx->queue.OnSubmittedWorkDone(
-        wgpu::CallbackMode::AllowSpontaneous,
-        [&param_buf_pool, params_bufs](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) {
-            if (status != wgpu::QueueWorkDoneStatus::Success) {
-                GGML_LOG_ERROR("ggml_webgpu: Failed to submit commands: %s\n", std::string(message).c_str());
-            }
-            // Free the staged buffers
-            param_buf_pool.free_bufs(params_bufs);
-        });
-    submission.submit_done = { p_f };
-
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    for (const auto & command : commands) {
-        auto label   = command.pipeline_name;
-        auto ts_bufs = command.timestamp_query_bufs;
-
-        wgpu::Future f = ts_bufs.host_buf.MapAsync(
-            wgpu::MapMode::Read, 0, ts_bufs.host_buf.GetSize(), wgpu::CallbackMode::AllowSpontaneous,
-            [ctx, ts_bufs, label](wgpu::MapAsyncStatus status, wgpu::StringView message) {
-                if (status != wgpu::MapAsyncStatus::Success) {
-                    GGML_LOG_ERROR("ggml_webgpu: Failed to map timestamp buffer: %s\n", std::string(message).c_str());
-                } else {
-                    const uint64_t * ts_data    = (const uint64_t *) ts_bufs.host_buf.GetConstMappedRange();
-                    // WebGPU timestamps are in ns; convert to ms
-                    double           elapsed_ms = double(ts_data[1] - ts_data[0]) * 1e-6;
-                    ctx->shader_gpu_time_ms[label] += elapsed_ms;
-                }
-                // We can't unmap in here due to WebGPU reentrancy limitations.
-                ctx->timestamp_query_buf_pool.free_bufs({ ts_bufs });
-            });
-        submission.profile_futures.push_back({ f });
-    }
-#endif
-    return submission;
-}
-
-static webgpu_command ggml_backend_webgpu_build_multi(
-    webgpu_global_context &                                ctx,
-    webgpu_buf_pool &                                      param_buf_pool,
-    const std::vector<webgpu_pipeline> &                   pipelines,
-    const std::vector<std::vector<uint32_t>> &             params_list,
-    const std::vector<std::vector<wgpu::BindGroupEntry>> & bind_group_entries_list,
-    const std::vector<std::pair<uint32_t, uint32_t>> &     workgroups_list) {
-    GGML_ASSERT(pipelines.size() == params_list.size());
-    GGML_ASSERT(pipelines.size() == bind_group_entries_list.size());
-    GGML_ASSERT(pipelines.size() == workgroups_list.size());
-
-    std::vector<wgpu::Buffer>    params_bufs_list;
+static webgpu_encoded_op ggml_backend_webgpu_build_multi(webgpu_context &                          ctx,
+                                                         const std::vector<webgpu_dispatch_desc> & dispatches) {
+    webgpu_encoded_op            result = {};
     std::vector<wgpu::BindGroup> bind_groups;
+    std::vector<size_t>          param_offsets;
+    result.num_kernels = dispatches.size();
 
-    for (size_t i = 0; i < pipelines.size(); i++) {
-        wgpu::Buffer params_bufs = param_buf_pool.alloc_bufs();
+    for (size_t i = 0; i < dispatches.size(); i++) {
+        const webgpu_dispatch_desc & dispatch     = dispatches[i];
+        const size_t                 param_size   = dispatch.params.size() * sizeof(uint32_t);
+        const size_t                 param_offset = ctx->param_arena.alloc_slot(param_size);
 
-        std::vector<wgpu::BindGroupEntry> entries            = bind_group_entries_list[i];
+        std::vector<wgpu::BindGroupEntry> entries            = dispatch.bind_group_entries;
         uint32_t                          params_binding_num = entries.size();
-        entries.push_back(
-            { .binding = params_binding_num, .buffer = params_bufs, .offset = 0, .size = params_bufs.GetSize() });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(params_binding_num, ctx->param_arena.buffer, param_offset,
+                                                            ctx->param_arena.slot_size));
 
         wgpu::BindGroupDescriptor bind_group_desc;
-        bind_group_desc.layout     = pipelines[i].pipeline.GetBindGroupLayout(0);
+        bind_group_desc.layout     = dispatch.pipeline.pipeline.GetBindGroupLayout(0);
         bind_group_desc.entryCount = entries.size();
         bind_group_desc.entries    = entries.data();
-        bind_group_desc.label      = pipelines[i].name.c_str();
-        bind_groups.push_back(ctx->device.CreateBindGroup(&bind_group_desc));
-
-        params_bufs_list.push_back(params_bufs);
+        bind_group_desc.label      = dispatch.pipeline.name.c_str();
+        bind_groups.push_back(ctx->global_ctx->device.CreateBindGroup(&bind_group_desc));
+        param_offsets.push_back(param_offset);
     }
 
-    wgpu::CommandEncoder encoder = ctx->device.CreateCommandEncoder();
-    for (size_t i = 0; i < params_bufs_list.size(); i++) {
-        ctx->queue.WriteBuffer(params_bufs_list[i], 0, params_list[i].data(), params_list[i].size() * sizeof(uint32_t));
+    for (size_t i = 0; i < param_offsets.size(); i++) {
+        ctx->global_ctx->queue.WriteBuffer(ctx->param_arena.buffer, param_offsets[i], dispatches[i].params.data(),
+                                           dispatches[i].params.size() * sizeof(uint32_t));
     }
 
 #ifdef GGML_WEBGPU_GPU_PROFILE
-    webgpu_gpu_profile_bufs ts_bufs = ctx->timestamp_query_buf_pool.alloc_bufs();
-    if (ts_bufs.host_buf.GetMapState() == wgpu::BufferMapState::Mapped) {
-        ts_bufs.host_buf.Unmap();
-    }
+    for (size_t i = 0; i < dispatches.size(); i++) {
+        GGML_ASSERT(ctx->profile_timestamp_query_count + 2 <= WEBGPU_MAX_PROFILE_QUERY_COUNT);
+        const uint32_t query_begin = ctx->profile_timestamp_query_count++;
+        const uint32_t query_end   = ctx->profile_timestamp_query_count++;
 
-    wgpu::PassTimestampWrites   ts_writes = { .querySet                  = ts_bufs.query_set,
-                                              .beginningOfPassWriteIndex = 0,
-                                              .endOfPassWriteIndex       = 1 };
-    wgpu::ComputePassDescriptor pass_desc = { .timestampWrites = &ts_writes };
-    wgpu::ComputePassEncoder    pass      = encoder.BeginComputePass(&pass_desc);
-#else
-    wgpu::ComputePassEncoder pass = encoder.BeginComputePass();
-#endif
-    for (size_t i = 0; i < pipelines.size(); i++) {
-        pass.SetPipeline(pipelines[i].pipeline);
+        wgpu::PassTimestampWrites ts_writes   = {};
+        ts_writes.querySet                    = ctx->profile_timestamp_query_set;
+        ts_writes.beginningOfPassWriteIndex   = query_begin;
+        ts_writes.endOfPassWriteIndex         = query_end;
+        wgpu::ComputePassDescriptor pass_desc = {};
+        pass_desc.timestampWrites             = &ts_writes;
+
+        wgpu::ComputePassEncoder pass = ctx->active_command_encoder.BeginComputePass(&pass_desc);
+
+        pass.SetPipeline(dispatches[i].pipeline.pipeline);
         pass.SetBindGroup(0, bind_groups[i]);
-        pass.DispatchWorkgroups(workgroups_list[i].first, workgroups_list[i].second, 1);
+        pass.DispatchWorkgroups(dispatches[i].workgroups.first, dispatches[i].workgroups.second, 1);
+        pass.End();
+        result.pipeline_names.push_back(dispatches[i].pipeline.name);
+    }
+#else
+    for (size_t i = 0; i < dispatches.size(); i++) {
+        ctx->active_compute_pass.SetPipeline(dispatches[i].pipeline.pipeline);
+        ctx->active_compute_pass.SetBindGroup(0, bind_groups[i]);
+        ctx->active_compute_pass.DispatchWorkgroups(dispatches[i].workgroups.first, dispatches[i].workgroups.second, 1);
     }
-    pass.End();
-
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    encoder.ResolveQuerySet(ts_bufs.query_set, 0, 2, ts_bufs.dev_buf, 0);
-    encoder.CopyBufferToBuffer(ts_bufs.dev_buf, 0, ts_bufs.host_buf, 0, ts_bufs.host_buf.GetSize());
 #endif
 
-    wgpu::CommandBuffer commands = encoder.Finish();
-    webgpu_command      result   = {};
-    result.commands              = commands;
-    result.params_bufs           = params_bufs_list;
-    result.num_kernels           = pipelines.size();
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    result.timestamp_query_bufs = ts_bufs;
-    // TODO: handle multiple pipeline names
-    result.pipeline_name        = pipelines.front().name;
-#endif
     return result;
 }
 
-static webgpu_command ggml_backend_webgpu_build(webgpu_global_context &           ctx,
-                                                webgpu_buf_pool &                 param_buf_pool,
-                                                webgpu_pipeline &                 pipeline,
-                                                std::vector<uint32_t>             params,
-                                                std::vector<wgpu::BindGroupEntry> bind_group_entries,
-                                                uint32_t                          wg_x,
-                                                uint32_t                          wg_y = 1) {
-    return ggml_backend_webgpu_build_multi(ctx, param_buf_pool,
-                                           {
-                                               pipeline
-    },
-                                           { std::move(params) }, { std::move(bind_group_entries) },
-                                           { { wg_x, wg_y } });
+static webgpu_encoded_op ggml_backend_webgpu_build(webgpu_context &                  ctx,
+                                                   webgpu_pipeline &                 pipeline,
+                                                   std::vector<uint32_t>             params,
+                                                   std::vector<wgpu::BindGroupEntry> bind_group_entries,
+                                                   uint32_t                          wg_x,
+                                                   uint32_t                          wg_y = 1) {
+    return ggml_backend_webgpu_build_multi(
+        ctx, {
+                 { pipeline, std::move(params), std::move(bind_group_entries), { wg_x, wg_y } },
+    });
 }
 
 static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx,
@@ -725,18 +643,37 @@ static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx,
                                               uint32_t                value,
                                               size_t                  offset,
                                               size_t                  size) {
-    std::vector<uint32_t>             params  = { (uint32_t) offset, (uint32_t) size, value };
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0, .buffer = buf, .offset = 0, .size = buf.GetSize() }
-    };
-    size_t   bytes_per_wg = WEBGPU_MAX_WG_SIZE * ctx->capabilities.memset_bytes_per_thread;
-    uint32_t wg_x         = CEIL_DIV(size + 3, bytes_per_wg);
+    std::vector<uint32_t>             params       = { (uint32_t) offset, (uint32_t) size, value };
+    std::vector<wgpu::BindGroupEntry> entries      = { ggml_webgpu_make_bind_group_entry(0, buf, 0, buf.GetSize()) };
+    size_t                            bytes_per_wg = WEBGPU_MAX_WG_SIZE * ctx->capabilities.memset_bytes_per_thread;
+    uint32_t                          wg_x         = CEIL_DIV(size + 3, bytes_per_wg);
+
+    ctx->queue.WriteBuffer(ctx->memset_params_buf, 0, params.data(), params.size() * sizeof(uint32_t));
+
+    wgpu::BindGroupEntry params_entry = {};
+    params_entry.binding              = 1;
+    params_entry.buffer               = ctx->memset_params_buf;
+    params_entry.offset               = 0;
+    params_entry.size                 = WEBGPU_PARAMS_BUF_SIZE_BYTES;
+    entries.push_back(params_entry);
+
+    wgpu::BindGroupDescriptor bind_group_desc;
+    bind_group_desc.layout     = ctx->memset_pipeline.pipeline.GetBindGroupLayout(0);
+    bind_group_desc.entryCount = entries.size();
+    bind_group_desc.entries    = entries.data();
+    bind_group_desc.label      = ctx->memset_pipeline.name.c_str();
+    wgpu::BindGroup bind_group = ctx->device.CreateBindGroup(&bind_group_desc);
+
+    wgpu::CommandEncoder     encoder = ctx->device.CreateCommandEncoder();
+    wgpu::ComputePassEncoder pass    = encoder.BeginComputePass();
+    pass.SetPipeline(ctx->memset_pipeline.pipeline);
+    pass.SetBindGroup(0, bind_group);
+    pass.DispatchWorkgroups(wg_x, 1, 1);
+    pass.End();
 
-    webgpu_command command =
-        ggml_backend_webgpu_build(ctx, ctx->memset_buf_pool, ctx->memset_pipelines[0], params, entries, wg_x);
-    std::vector<webgpu_command>    commands = { command };
-    std::vector<webgpu_submission> sub      = { ggml_backend_webgpu_submit(ctx, commands, ctx->memset_buf_pool) };
-    ggml_backend_webgpu_wait(ctx, sub);
+    wgpu::CommandBuffer              command  = encoder.Finish();
+    std::vector<wgpu::CommandBuffer> commands = { command };
+    ctx->queue.Submit(commands.size(), commands.data());
 }
 
 /** End WebGPU Actions */
@@ -796,60 +733,16 @@ static void ggml_backend_webgpu_free(ggml_backend_t backend) {
     delete backend;
 }
 
-static size_t ggml_webgpu_tensor_offset(const ggml_tensor * tensor) {
-    return webgpu_tensor_offset(tensor) + tensor->view_offs;
-}
-
-static wgpu::Buffer ggml_webgpu_tensor_buf(const ggml_tensor * tensor) {
-    ggml_backend_webgpu_buffer_context * ctx = (ggml_backend_webgpu_buffer_context *) tensor->buffer->context;
-    return ctx->buffer;
-}
-
-static size_t ggml_webgpu_tensor_misalignment(webgpu_context & ctx, const ggml_tensor * t) {
-    size_t offset = ggml_webgpu_tensor_offset(t);
-    return offset & (ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
-}
-
-static size_t ggml_webgpu_tensor_align_offset(webgpu_context & ctx, const ggml_tensor * t) {
-    size_t offset = ggml_webgpu_tensor_offset(t);
-    return offset & ~(ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
-}
-
-static size_t ggml_webgpu_tensor_binding_size(webgpu_context & ctx, ggml_tensor * t) {
-    return ROUNDUP_POW2(ggml_nbytes(t) + ggml_webgpu_tensor_misalignment(ctx, t), WEBGPU_STORAGE_BUF_BINDING_MULT);
-}
-
-// Used to determine if two tensors are the same for in-place operations
-static bool ggml_webgpu_tensor_equal(ggml_tensor * a, ggml_tensor * b) {
-    return (ggml_webgpu_tensor_buf(a).Get() == ggml_webgpu_tensor_buf(b).Get()) &&
-           (ggml_webgpu_tensor_offset(a) == ggml_webgpu_tensor_offset(b));
-}
+static webgpu_encoded_op ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
-// Used to determine if two tensors share the same buffer and their byte ranges overlap,
-static bool ggml_webgpu_tensor_overlap(ggml_tensor * a, ggml_tensor * b) {
-    return (ggml_webgpu_tensor_buf(a).Get() == ggml_webgpu_tensor_buf(b).Get()) &&
-           ggml_webgpu_tensor_offset(a) < (ggml_webgpu_tensor_offset(b) + ggml_nbytes(b)) &&
-           ggml_webgpu_tensor_offset(b) < (ggml_webgpu_tensor_offset(a) + ggml_nbytes(a));
-}
-
-struct binary_overlap_flags {
-    bool inplace;  // src0 == dst
-    bool overlap;  // src1 == dst
-    bool src_overlap;
-};
+    webgpu_pipeline pipeline = ctx->shader_lib->get_cpy_pipeline(shader_lib_ctx);
 
-static binary_overlap_flags ggml_webgpu_detect_binary_overlap(ggml_tensor * src0,
-                                                              ggml_tensor * src1,
-                                                              ggml_tensor * dst) {
-    binary_overlap_flags flags = {};
-    flags.inplace              = ggml_webgpu_tensor_equal(src0, dst);
-    flags.overlap              = ggml_webgpu_tensor_overlap(src1, dst);
-    flags.src_overlap          = ggml_webgpu_tensor_overlap(src0, src1);
-
-    return flags;
-}
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
-static webgpu_command ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     uint32_t ne = (uint32_t) ggml_nelements(dst);
 
     std::vector<uint32_t> params = {
@@ -866,26 +759,75 @@ static webgpu_command ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, g
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
     };
 
-    uint32_t wg_x = CEIL_DIV(ne, WEBGPU_MAX_WG_SIZE);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, ctx->cpy_pipelines[src->type][dst->type],
-                                     params, entries, wg_x);
+    uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
+static webgpu_encoded_op ggml_webgpu_set(webgpu_context & ctx,
+                                         ggml_tensor *    src0,
+                                         ggml_tensor *    src1,
+                                         ggml_tensor *    dst) {
+    const bool inplace = ggml_webgpu_tensor_equal(src0, dst);
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = inplace;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_set_pipeline(shader_lib_ctx);
+
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
+    const uint32_t ne            = inplace ? (uint32_t) ggml_nelements(src1) : (uint32_t) ggml_nelements(dst);
+    const uint32_t dst_type_size = (uint32_t) ggml_type_size(dst->type);
+
+    std::vector<uint32_t> params = {
+        ne,
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (((const int32_t *) dst->op_params)[3] / dst_type_size),
+
+        (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),
+
+        1u,
+        (uint32_t) (((const int32_t *) dst->op_params)[0] / dst_type_size),
+        (uint32_t) (((const int32_t *) dst->op_params)[1] / dst_type_size),
+        (uint32_t) (((const int32_t *) dst->op_params)[2] / dst_type_size),
+
+        (uint32_t) src1->ne[0],
+        (uint32_t) src1->ne[1],
+        (uint32_t) src1->ne[2],
+        (uint32_t) src1->ne[3],
     };
 
+    std::vector<wgpu::BindGroupEntry> entries;
+    uint32_t                          binding_index = 0;
+    if (!inplace) {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0));
+        binding_index++;
+    }
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index, src1));
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index + 1, dst));
+
+    uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static webgpu_encoded_op ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
     webgpu_pipeline pipeline = ctx->shader_lib->get_pad_pipeline(shader_lib_ctx);
 
     auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
@@ -922,36 +864,186 @@ static webgpu_command ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, g
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
+    };
+
+    uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static webgpu_encoded_op ggml_webgpu_solve_tri(webgpu_context & ctx,
+                                               ggml_tensor *    src0,
+                                               ggml_tensor *    src1,
+                                               ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_solve_tri_pipeline(shader_lib_ctx);
+
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+
+        (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+
+        (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),
+
+        (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
+
+        (uint32_t) src1->ne[0],
+        (uint32_t) dst->ne[2],
+        (uint32_t) dst->ne[3],
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
+    };
+
+    const uint32_t wg_x = CEIL_DIV((uint32_t) src1->ne[0], decisions->wg_size);
+    const uint32_t wg_y = (uint32_t) (dst->ne[2] * dst->ne[3]);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_ssm_conv(webgpu_context & ctx,
+                                              ggml_tensor *    src0,
+                                              ggml_tensor *    src1,
+                                              ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_ssm_conv_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_ssm_conv_shader_decisions *>(pipeline.context.get());
+
+    const uint32_t token_tiles = CEIL_DIV((uint32_t) dst->ne[1], decisions->tokens_per_wg);
+
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+
+        (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
+
+        (uint32_t) src1->ne[0],
+        (uint32_t) src0->ne[1],
+        (uint32_t) dst->ne[1],
+        (uint32_t) dst->ne[2],
+        token_tiles,
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
-    uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    const uint32_t wg_x = CEIL_DIV((uint32_t) src0->ne[1], decisions->block_size);
+    const uint32_t wg_y = token_tiles * (uint32_t) dst->ne[2];
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_gated_delta_net(webgpu_context & ctx,
+                                                     ggml_tensor *    src0,
+                                                     ggml_tensor *    src1,
+                                                     ggml_tensor *    src2,
+                                                     ggml_tensor *    src3,
+                                                     ggml_tensor *    src4,
+                                                     ggml_tensor *    src5,
+                                                     ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.src3                           = src3;
+    shader_lib_ctx.src4                           = src4;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_gated_delta_net_pipeline(shader_lib_ctx);
+
+    const uint32_t s_v      = (uint32_t) src2->ne[0];
+    const uint32_t h        = (uint32_t) src2->ne[1];
+    const uint32_t n_tokens = (uint32_t) src2->ne[2];
+    const uint32_t n_seqs   = (uint32_t) src2->ne[3];
+    const float    scale    = 1.0f / sqrtf((float) s_v);
+    uint32_t       scale_u32;
+    memcpy(&scale_u32, &scale, sizeof(scale_u32));
+
+    std::vector<uint32_t> params = {
+        h,
+        n_tokens,
+        n_seqs,
+        s_v * h * n_tokens * n_seqs,
+
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+
+        (uint32_t) (src2->nb[1] / ggml_type_size(src2->type)),
+        (uint32_t) (src2->nb[2] / ggml_type_size(src2->type)),
+        (uint32_t) (src2->nb[3] / ggml_type_size(src2->type)),
+
+        (uint32_t) (src4->nb[1] / ggml_type_size(src4->type)),
+        (uint32_t) (src4->nb[2] / ggml_type_size(src4->type)),
+        (uint32_t) (src4->nb[3] / ggml_type_size(src4->type)),
+
+        (uint32_t) src0->ne[1],
+        (uint32_t) (src2->ne[3] / src0->ne[3]),
+        scale_u32,
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0), ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2), ggml_webgpu_make_tensor_bind_group_entry(ctx, 3, src3),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 4, src4), ggml_webgpu_make_tensor_bind_group_entry(ctx, 5, src5),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 6, dst),
+    };
+
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, h, n_seqs);
 }
 
-static std::optional<webgpu_command> ggml_webgpu_set_rows(webgpu_context & ctx,
-                                                          ggml_tensor *    src,
-                                                          ggml_tensor *    idx,
-                                                          ggml_tensor *    dst) {
+static std::optional<webgpu_encoded_op> ggml_webgpu_set_rows(webgpu_context & ctx,
+                                                             ggml_tensor *    src,
+                                                             ggml_tensor *    idx,
+                                                             ggml_tensor *    dst) {
     // For set rows specifically, we need to check if src and idx are empty
     // tensors.
     if (ggml_is_empty(src) || ggml_is_empty(idx)) {
         return std::nullopt;
     }
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = idx,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = idx;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_set_rows_pipeline(shader_lib_ctx);
 
@@ -974,25 +1066,14 @@ static std::optional<webgpu_command> ggml_webgpu_set_rows(webgpu_context & ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(idx),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, idx),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, idx) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, idx),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
     if (decisions->i64_idx) {
-        entries.push_back({ .binding = 3,
-                            .buffer  = ctx->set_rows_dev_error_buf,
-                            .offset  = 0,
-                            .size    = ctx->set_rows_dev_error_buf.GetSize() });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(3, ctx->set_rows_dev_error_buf, 0,
+                                                            ctx->set_rows_dev_error_buf.GetSize()));
     }
 
     uint32_t threads;
@@ -1002,7 +1083,7 @@ static std::optional<webgpu_command> ggml_webgpu_set_rows(webgpu_context & ctx,
         threads = src->ne[0] * src->ne[1] * src->ne[2] * src->ne[3];
     }
     uint32_t wg_x = CEIL_DIV(threads, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, 1);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, 1);
 }
 
 // Workgroup size is a common constant
@@ -1013,16 +1094,17 @@ static std::vector<wgpu::ConstantEntry> ggml_webgpu_wg_size_entry(uint32_t wg_si
     return constants;
 }
 
-static webgpu_command ggml_webgpu_get_rows(webgpu_context & ctx,
-                                           ggml_tensor *    src,
-                                           ggml_tensor *    idx,
-                                           ggml_tensor *    dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = WEBGPU_MAX_WG_SIZE,
-    };
+static webgpu_encoded_op ggml_webgpu_get_rows(webgpu_context & ctx,
+                                              ggml_tensor *    src,
+                                              ggml_tensor *    idx,
+                                              ggml_tensor *    dst) {
+    const bool float_parallel = src->type == GGML_TYPE_F32 || src->type == GGML_TYPE_F16 || src->type == GGML_TYPE_I32;
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size                    = WEBGPU_MAX_WG_SIZE;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_get_rows_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
@@ -1046,30 +1128,22 @@ static webgpu_command ggml_webgpu_get_rows(webgpu_context & ctx,
                                      (uint32_t) (idx->ne[1]),
                                      (uint32_t) (idx->ne[2]) };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(idx),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, idx),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, idx) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, idx),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst) };
 
-    uint32_t wg_x = CEIL_DIV(dst->ne[1] * dst->ne[2] * dst->ne[3], decisions->wg_size);
+    uint32_t blocks_per_row = (uint32_t) (dst->ne[0] / (src->type == GGML_TYPE_F32 && dst->ne[0] % 4 == 0 ? 4 : 1));
+    uint32_t total_rows     = (uint32_t) (dst->ne[1] * dst->ne[2] * dst->ne[3]);
+    uint32_t total_threads  = float_parallel ? blocks_per_row * total_rows : total_rows;
+    uint32_t wg_x           = CEIL_DIV(total_threads, decisions->wg_size);
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
-                                          ggml_tensor *    src0,
-                                          ggml_tensor *    src1,
-                                          ggml_tensor *    dst) {
+static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context & ctx,
+                                             ggml_tensor *    src0,
+                                             ggml_tensor *    src1,
+                                             ggml_tensor *    dst) {
     // Determine if this is a mat-vec operation
     bool is_vec = (dst->ne[1] == 1);
 
@@ -1091,14 +1165,11 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
                 case GGML_TYPE_Q8_0:
                 case GGML_TYPE_Q8_1:
                 case GGML_TYPE_Q6_K:
-                    use_fast = true;
-                    break;
-                case GGML_TYPE_Q2_K:
-                case GGML_TYPE_Q3_K:
                 case GGML_TYPE_Q4_K:
                 case GGML_TYPE_Q5_K:
-                    // we don't have fast mat-vec for these types, but we do have (semi) fast mat-mat
-                    use_fast = !is_vec;
+                case GGML_TYPE_Q3_K:
+                case GGML_TYPE_Q2_K:
+                    use_fast = true;
                     break;
                 default:
                     break;
@@ -1108,17 +1179,18 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
             break;
     }
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0                     = src0,
-        .src1                     = src1,
-        .dst                      = dst,
-        .max_wg_size              = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .supports_subgroup_matrix = ctx->global_ctx->capabilities.supports_subgroup_matrix,
-        .sg_mat_m                 = ctx->global_ctx->capabilities.sg_mat_m,
-        .sg_mat_n                 = ctx->global_ctx->capabilities.sg_mat_n,
-        .sg_mat_k                 = ctx->global_ctx->capabilities.sg_mat_k,
-        .max_subgroup_size        = ctx->global_ctx->capabilities.max_subgroup_size,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+
+    shader_lib_ctx.src0                     = src0;
+    shader_lib_ctx.src1                     = src1;
+    shader_lib_ctx.dst                      = dst;
+    shader_lib_ctx.max_wg_size              = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.supports_subgroups       = ctx->global_ctx->capabilities.supports_subgroups;
+    shader_lib_ctx.supports_subgroup_matrix = ctx->global_ctx->capabilities.supports_subgroup_matrix;
+    shader_lib_ctx.sg_mat_m                 = ctx->global_ctx->capabilities.sg_mat_m;
+    shader_lib_ctx.sg_mat_n                 = ctx->global_ctx->capabilities.sg_mat_n;
+    shader_lib_ctx.sg_mat_k                 = ctx->global_ctx->capabilities.sg_mat_k;
+    shader_lib_ctx.max_subgroup_size        = ctx->global_ctx->capabilities.max_subgroup_size;
 
     // Get or create pipeline
     webgpu_pipeline pipeline;
@@ -1153,18 +1225,9 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
 
     // Build bind group entries
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  },
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
     // Calculate workgroup dimensions
@@ -1208,22 +1271,150 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
         compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
     }
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, wg_y);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_mul_mat_id(webgpu_context & ctx,
+                                                ggml_tensor *    src0,
+                                                ggml_tensor *    src1,
+                                                ggml_tensor *    src2,
+                                                ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    // Get or create pipeline
+    webgpu_pipeline gather_pipeline;
+    webgpu_pipeline main_pipeline;
+
+    std::vector<webgpu_dispatch_desc> dispatches;
+
+    gather_pipeline = ctx->shader_lib->get_mul_mat_id_gather_pipeline(shader_lib_ctx);
+    main_pipeline   = ctx->shader_lib->get_mul_mat_id_pipeline(shader_lib_ctx);
+
+    const uint32_t param_n_expert      = (uint32_t) src0->ne[2];
+    const uint32_t param_n_expert_used = (uint32_t) dst->ne[1];
+    const uint32_t param_n_tokens      = (uint32_t) dst->ne[2];
+
+    // params for mul_mat_id_gather.wgsl
+    std::vector<uint32_t> gather_params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)),
+        param_n_expert,
+        param_n_expert_used,
+        param_n_tokens,
+        (uint32_t) (src2->nb[1] / ggml_type_size(src2->type)),
+    };
+
+    const size_t dst_offset          = ggml_webgpu_tensor_offset(dst);
+    const size_t gathered_buf_nbytes = src0->ne[2] * src1->ne[2] * sizeof(uint32_t);
+
+    const size_t gathered_expert_used_align_offset = ROUNDUP_POW2(
+        dst_offset + ggml_nbytes(dst), ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+    const size_t gathered_tokens_align_offset =
+        ROUNDUP_POW2(gathered_expert_used_align_offset + gathered_buf_nbytes,
+                     ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+    const size_t gathered_count_ids_align_offset =
+        ROUNDUP_POW2(gathered_tokens_align_offset + gathered_buf_nbytes,
+                     ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+
+    const size_t gathered_binding_size = ROUNDUP_POW2(gathered_buf_nbytes, WEBGPU_STORAGE_BUF_BINDING_MULT);
+    const size_t gathered_count_ids_binding_size =
+        ROUNDUP_POW2(src0->ne[2] * sizeof(uint32_t), WEBGPU_STORAGE_BUF_BINDING_MULT);
+
+    // bind group entries for mul_mat_id_gather.wgsl
+    std::vector<wgpu::BindGroupEntry> gather_entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src2), ggml_webgpu_tensor_align_offset(ctx, src2),
+                                          ggml_webgpu_tensor_binding_size(ctx, src2)),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), gathered_expert_used_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(dst), gathered_tokens_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(3, ggml_webgpu_tensor_buf(dst), gathered_count_ids_align_offset,
+                                          gathered_count_ids_binding_size),
+    };
+
+    const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
+
+    const uint32_t gather_total_wg = param_n_expert;
+    const uint32_t gather_wg_x     = std::min(gather_total_wg, max_wg_per_dim);
+    const uint32_t gather_wg_y     = CEIL_DIV(gather_total_wg, gather_wg_x);
+
+    dispatches.push_back({
+        gather_pipeline, std::move(gather_params), std::move(gather_entries), { gather_wg_x, gather_wg_y }
+    });
+
+    // params for mul_mat_id.wgsl
+    std::vector<uint32_t> main_params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        (uint32_t) src0->ne[0],
+        (uint32_t) src0->ne[1],
+        param_n_expert,
+        param_n_expert_used,
+        param_n_tokens,
+        (uint32_t) src1->ne[1],
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+    };
+
+    // bind group entries for mul_mat_id.wgsl
+    std::vector<wgpu::BindGroupEntry> main_entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0), ggml_webgpu_tensor_align_offset(ctx, src0),
+                                          ggml_webgpu_tensor_binding_size(ctx, src0)),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1), ggml_webgpu_tensor_align_offset(ctx, src1),
+                                          ggml_webgpu_tensor_binding_size(ctx, src1)),
+        ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(dst), ggml_webgpu_tensor_align_offset(ctx, dst),
+                                          ggml_webgpu_tensor_binding_size(ctx, dst)),
+        ggml_webgpu_make_bind_group_entry(3, ggml_webgpu_tensor_buf(dst), gathered_expert_used_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(4, ggml_webgpu_tensor_buf(dst), gathered_tokens_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(5, ggml_webgpu_tensor_buf(dst), gathered_count_ids_align_offset,
+                                          gathered_count_ids_binding_size),
+    };
+
+    // Calculate workgroup dimensions
+    uint32_t wg_x = 1;
+    uint32_t wg_y = 1;
+
+    auto * main_decisions = static_cast<ggml_webgpu_mul_mat_shader_decisions *>(main_pipeline.context.get());
+
+    uint32_t wg_m;
+
+    uint32_t tile_m_s           = main_decisions->tile_m * main_decisions->wg_size_m;
+    uint32_t tile_n_s           = main_decisions->tile_n * main_decisions->wg_size_n;
+    wg_m                        = CEIL_DIV(dst->ne[0], tile_m_s);
+    uint32_t total_gathered     = dst->ne[1] * dst->ne[2];
+    uint32_t max_active_experts = std::min((uint32_t) src0->ne[2], total_gathered);
+    uint32_t max_wg_n           = CEIL_DIV(total_gathered, tile_n_s) + max_active_experts;
+    uint32_t total_wg           = wg_m * max_wg_n;
+
+    compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
+
+    dispatches.push_back({
+        main_pipeline, std::move(main_params), std::move(main_entries), { wg_x, wg_y }
+    });
+
+    return ggml_backend_webgpu_build_multi(ctx, dispatches);
 }
 
 #ifndef __EMSCRIPTEN__
-static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx,
-                                             ggml_tensor *    Q,
-                                             ggml_tensor *    K,
-                                             ggml_tensor *    V,
-                                             ggml_tensor *    mask,
-                                             ggml_tensor *    sinks,
-                                             ggml_tensor *    dst) {
-    float scale = *(float *) dst->op_params;
-    float max_bias;
-    memcpy(&max_bias, (float *) dst->op_params + 1, sizeof(float));
-    float logit_softcap;
-    memcpy(&logit_softcap, (float *) dst->op_params + 2, sizeof(float));
+static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context & ctx,
+                                                ggml_tensor *    Q,
+                                                ggml_tensor *    K,
+                                                ggml_tensor *    V,
+                                                ggml_tensor *    mask,
+                                                ggml_tensor *    sinks,
+                                                ggml_tensor *    dst) {
+    float scale         = ggml_get_op_params_f32(dst, 0);
+    float max_bias      = ggml_get_op_params_f32(dst, 1);
+    float logit_softcap = ggml_get_op_params_f32(dst, 2);
     if (logit_softcap != 0.0f) {
         scale /= logit_softcap;
     }
@@ -1255,82 +1446,229 @@ static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx,
         (uint32_t) (V->nb[3] / ggml_type_size(V->type)),  // stride (elements/blocks) of V in dimension 3
         has_mask ? (uint32_t) (mask->nb[3] / ggml_type_size(mask->type)) : 0,  // stride of mask dim 3
         (uint32_t) (Q->ne[2] / K->ne[2]),  // repeat factor for K/V in dim 2 (MHA/MQA/GQA)
-        *(uint32_t *) &scale,              // scale (possibly adjusted for logit softcap)
-        *(uint32_t *) &max_bias,
-        *(uint32_t *) &logit_softcap,
-        *(uint32_t *) &n_head_log2,
-        *(uint32_t *) &m0,
-        *(uint32_t *) &m1
+        ggml_webgpu_u32_from_f32(scale),   // scale (possibly adjusted for logit softcap)
+        ggml_webgpu_u32_from_f32(max_bias),
+        ggml_webgpu_u32_from_f32(logit_softcap),
+        ggml_webgpu_u32_from_f32(n_head_log2),
+        ggml_webgpu_u32_from_f32(m0),
+        ggml_webgpu_u32_from_f32(m1)
 
     };
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(Q),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, Q),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, Q) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(K),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, K),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, K) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(V),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, V),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, V) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, Q),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, K),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, V),
     };
     uint32_t binding_index = 3;
     if (has_mask) {
-        entries.push_back({ .binding = binding_index++,
-                            .buffer  = ggml_webgpu_tensor_buf(mask),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, mask),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, mask) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index++, mask));
     }
     if (has_sinks) {
-        entries.push_back({ .binding = binding_index++,
-                            .buffer  = ggml_webgpu_tensor_buf(sinks),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, sinks),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, sinks) });
-    }
-    entries.push_back({ .binding = binding_index++,
-                        .buffer  = ggml_webgpu_tensor_buf(dst),
-                        .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                        .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
-
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0               = Q,
-        .src1               = K,
-        .src2               = V,
-        .src3               = mask,
-        .src4               = sinks,
-        .dst                = dst,
-        .max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-        .sg_mat_m           = ctx->global_ctx->capabilities.sg_mat_m,
-        .sg_mat_n           = ctx->global_ctx->capabilities.sg_mat_n,
-        .sg_mat_k           = ctx->global_ctx->capabilities.sg_mat_k,
-        .max_subgroup_size  = ctx->global_ctx->capabilities.max_subgroup_size,
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index++, sinks));
+    }
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index++, dst));
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = Q;
+    shader_lib_ctx.src1                           = K;
+    shader_lib_ctx.src2                           = V;
+    shader_lib_ctx.src3                           = mask;
+    shader_lib_ctx.src4                           = sinks;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+    shader_lib_ctx.sg_mat_m           = ctx->global_ctx->capabilities.sg_mat_m;
+    shader_lib_ctx.sg_mat_n           = ctx->global_ctx->capabilities.sg_mat_n;
+    shader_lib_ctx.sg_mat_k           = ctx->global_ctx->capabilities.sg_mat_k;
+    shader_lib_ctx.max_subgroup_size  = ctx->global_ctx->capabilities.max_subgroup_size;
+    const bool      use_vec           = ggml_webgpu_flash_attn_use_vec(ctx->global_ctx, Q, K, V);
+    webgpu_pipeline pipeline          = use_vec ? ctx->shader_lib->get_flash_attn_vec_pipeline(shader_lib_ctx) :
+                                                  ctx->shader_lib->get_flash_attn_pipeline(shader_lib_ctx);
+
+    if (!use_vec) {
+        auto *   decisions   = static_cast<ggml_webgpu_flash_attn_decisions *>(pipeline.context.get());
+        uint32_t wg_per_head = CEIL_DIV(Q->ne[1], decisions->q_tile);
+        uint32_t wg_x        = wg_per_head * Q->ne[2] * Q->ne[3];  // wg per head * number of heads * number of batches
+        return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+    }
+
+    auto * decisions = static_cast<ggml_webgpu_flash_attn_vec_decisions *>(pipeline.context.get());
+
+    wgpu::Buffer blk_buf         = {};
+    uint64_t     blk_size_bytes  = 0;
+    uint32_t     blk_nblk0       = 0;
+    uint32_t     blk_nblk1       = 0;
+    uint32_t     blk_batch_count = 0;
+
+    const uint32_t vec_nwg_cap = std::max(1u, std::min<uint32_t>(32u, ctx->global_ctx->capabilities.max_subgroup_size));
+    uint32_t       nwg         = 1u;
+    const uint64_t kv_span     = (uint64_t) std::max(1u, decisions->kv_tile);
+    while ((2u * nwg * kv_span) < (uint64_t) K->ne[1] && nwg < vec_nwg_cap) {
+        nwg <<= 1;
+    }
+    nwg                           = std::min(nwg, vec_nwg_cap);
+    const uint64_t nrows          = (uint64_t) Q->ne[1] * Q->ne[2] * Q->ne[3];
+    const bool     use_vec_reduce = nwg > 1u;
+    GGML_ASSERT(nrows <= UINT32_MAX);
+
+    uint64_t     tmp_stats_base  = 0;
+    uint64_t     tmp_size_bytes  = 0;
+    wgpu::Buffer tmp_buf         = {};
+    uint64_t     tmp_bind_offset = 0;
+    uint64_t     tmp_bind_size   = 0;
+    const size_t align_bytes     = ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment;
+    const size_t dst_offset      = ggml_webgpu_tensor_offset(dst);
+    size_t       scratch_offset  = ROUNDUP_POW2(dst_offset + ggml_nbytes(dst), align_bytes);
+
+    if (use_vec_reduce) {
+        const uint64_t tmp_data_elems  = nrows * (uint64_t) V->ne[0] * nwg;
+        const uint64_t tmp_stats_elems = nrows * 2u * nwg;
+        tmp_stats_base                 = tmp_data_elems;
+        tmp_size_bytes =
+            ROUNDUP_POW2((tmp_data_elems + tmp_stats_elems) * sizeof(float), WEBGPU_STORAGE_BUF_BINDING_MULT);
+        GGML_ASSERT(tmp_stats_base <= UINT32_MAX);
+        tmp_buf         = ggml_webgpu_tensor_buf(dst);
+        tmp_bind_offset = scratch_offset;
+        tmp_bind_size   = tmp_size_bytes;
+        scratch_offset  = ROUNDUP_POW2(scratch_offset + tmp_size_bytes, align_bytes);
+    } else {
+        // nwg==1 writes final dst directly in vec-split; keep tmp binding valid without extra allocation.
+        tmp_buf         = ggml_webgpu_tensor_buf(dst);
+        tmp_bind_offset = ggml_webgpu_tensor_align_offset(ctx, dst);
+        tmp_bind_size   = ggml_webgpu_tensor_binding_size(ctx, dst);
+    }
+
+    webgpu_pipeline                   blk_pipeline;
+    std::vector<uint32_t>             blk_params;
+    std::vector<wgpu::BindGroupEntry> blk_entries;
+    if (has_mask) {
+        blk_nblk0                   = CEIL_DIV((uint32_t) K->ne[1], decisions->kv_tile);
+        blk_nblk1                   = (uint32_t) Q->ne[1];
+        blk_buf                     = ggml_webgpu_tensor_buf(dst);
+        const uint32_t stride_mask3 = (uint32_t) (mask->nb[3] / ggml_type_size(mask->type));
+        blk_batch_count             = stride_mask3 > 0 ? (uint32_t) Q->ne[3] : 1u;
+        const uint64_t blk_elems    = (uint64_t) blk_nblk0 * blk_nblk1 * blk_batch_count;
+        blk_size_bytes              = ROUNDUP_POW2(blk_elems * sizeof(uint32_t), WEBGPU_STORAGE_BUF_BINDING_MULT);
+        const ggml_webgpu_shader_lib_context blk_shader_ctx = shader_lib_ctx;
+        blk_pipeline = ctx->shader_lib->get_flash_attn_blk_pipeline(blk_shader_ctx);
+
+        blk_params = {
+            (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, mask) / ggml_type_size(mask->type)),  // offset_mask
+            (uint32_t) Q->ne[1],                                                                   // seq_len_q
+            (uint32_t) K->ne[1],                                                                   // seq_len_kv
+            stride_mask3,                                                                          // stride_mask3
+            blk_nblk0,                                                                             // nblk0
+            blk_nblk1,                                                                             // nblk1
+        };
+        blk_entries = {
+            ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(mask),
+                                              ggml_webgpu_tensor_align_offset(ctx, mask),
+                                              ggml_webgpu_tensor_binding_size(ctx, mask)),
+            ggml_webgpu_make_bind_group_entry(1, blk_buf, scratch_offset, blk_size_bytes),
+        };
+        scratch_offset = ROUNDUP_POW2(scratch_offset + blk_size_bytes, align_bytes);
+    }
+
+    std::vector<uint32_t> split_params = params;
+    if (has_mask) {
+        split_params.push_back(0u);                     // blk_base
+        split_params.push_back(blk_nblk0);              // blk_nblk0
+        split_params.push_back(blk_nblk1);              // blk_nblk1
+    }
+    split_params.push_back(0u);                         // tmp_data_base
+    split_params.push_back((uint32_t) tmp_stats_base);  // tmp_stats_base
+    split_params.push_back(nwg);                        // nwg
+
+    std::vector<wgpu::BindGroupEntry> split_entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(Q), ggml_webgpu_tensor_align_offset(ctx, Q),
+                                          ggml_webgpu_tensor_binding_size(ctx, Q)),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(K), ggml_webgpu_tensor_align_offset(ctx, K),
+                                          ggml_webgpu_tensor_binding_size(ctx, K)),
+        ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(V), ggml_webgpu_tensor_align_offset(ctx, V),
+                                          ggml_webgpu_tensor_binding_size(ctx, V)),
     };
+    uint32_t split_binding_index = 3;
+    if (has_mask) {
+        split_entries.push_back(ggml_webgpu_make_bind_group_entry(split_binding_index++, ggml_webgpu_tensor_buf(mask),
+                                                                  ggml_webgpu_tensor_align_offset(ctx, mask),
+                                                                  ggml_webgpu_tensor_binding_size(ctx, mask)));
+    }
+    if (has_sinks) {
+        split_entries.push_back(ggml_webgpu_make_bind_group_entry(split_binding_index++, ggml_webgpu_tensor_buf(sinks),
+                                                                  ggml_webgpu_tensor_align_offset(ctx, sinks),
+                                                                  ggml_webgpu_tensor_binding_size(ctx, sinks)));
+    }
+    if (has_mask) {
+        split_entries.push_back(
+            ggml_webgpu_make_bind_group_entry(split_binding_index++, blk_buf, blk_entries[1].offset, blk_size_bytes));
+    }
+    split_entries.push_back(
+        ggml_webgpu_make_bind_group_entry(split_binding_index++, tmp_buf, tmp_bind_offset, tmp_bind_size));
+    split_entries.push_back(ggml_webgpu_make_bind_group_entry(split_binding_index++, ggml_webgpu_tensor_buf(dst),
+                                                              ggml_webgpu_tensor_align_offset(ctx, dst),
+                                                              ggml_webgpu_tensor_binding_size(ctx, dst)));
+
+    webgpu_pipeline                   reduce_pipeline;
+    std::vector<uint32_t>             reduce_params;
+    std::vector<wgpu::BindGroupEntry> reduce_entries;
+    if (use_vec_reduce) {
+        const uint32_t reduce_wg_size = std::max(
+            32u, std::min<uint32_t>(nwg * 32u, ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup));
+        ggml_webgpu_shader_lib_context reduce_shader_ctx = shader_lib_ctx;
+        reduce_shader_ctx.max_wg_size                    = reduce_wg_size;
+        reduce_pipeline = ctx->shader_lib->get_flash_attn_vec_reduce_pipeline(reduce_shader_ctx);
+
+        reduce_params = {
+            (uint32_t) nrows,                                                                    // nrows
+            (uint32_t) Q->ne[1],                                                                 // seq_len_q
+            (uint32_t) Q->ne[2],                                                                 // n_heads
+            (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),  // offset_dst
+            nwg,                                                                                 // nwg
+            0u,                                                                                  // tmp_data_base
+            (uint32_t) tmp_stats_base,                                                           // tmp_stats_base
+        };
 
-    webgpu_pipeline pipeline = ctx->shader_lib->get_flash_attn_pipeline(shader_lib_ctx);
+        reduce_entries = {
+            ggml_webgpu_make_bind_group_entry(0, tmp_buf, tmp_bind_offset, tmp_size_bytes),
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), ggml_webgpu_tensor_align_offset(ctx, dst),
+                                              ggml_webgpu_tensor_binding_size(ctx, dst)),
+        };
+    }
+
+    uint32_t       wg_x           = Q->ne[1] * Q->ne[2] * Q->ne[3];
+    const uint64_t split_wg_total = (uint64_t) wg_x * nwg;
+    GGML_ASSERT(split_wg_total <= UINT32_MAX);
+
+    std::vector<webgpu_dispatch_desc> dispatches;
 
-    auto * decisions = static_cast<ggml_webgpu_flash_attn_shader_decisions *>(pipeline.context.get());
+    if (has_mask) {
+        dispatches.push_back({
+            blk_pipeline, std::move(blk_params), std::move(blk_entries), { blk_nblk0, blk_nblk1 * blk_batch_count }
+        });
+    }
+    dispatches.push_back({
+        pipeline, std::move(split_params), std::move(split_entries), { (uint32_t) split_wg_total, 1u }
+    });
+    if (use_vec_reduce) {
+        dispatches.push_back({
+            reduce_pipeline, std::move(reduce_params), std::move(reduce_entries), { (uint32_t) nrows, 1u }
+        });
+    }
 
-    uint32_t wg_per_head = CEIL_DIV(Q->ne[1], decisions->q_tile);
-    uint32_t wg_x        = wg_per_head * Q->ne[2] * Q->ne[3];  // wg per head * number of heads * number of batches
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build_multi(ctx, dispatches);
 }
-#endif
+#endif  // __EMSCRIPTEN__
 
-static webgpu_command ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool is_unary = dst->op == GGML_OP_UNARY;
     bool inplace  = ggml_webgpu_tensor_equal(src, dst) || (dst->op == GGML_OP_FILL);
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = inplace,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = inplace;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_unary_pipeline(shader_lib_ctx);
 
@@ -1361,10 +1699,10 @@ static webgpu_command ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * s
                     float alpha_p = ggml_get_op_params_f32(dst, 2);
                     float beta    = ggml_get_op_params_f32(dst, 3);
                     float eps     = ggml_get_op_params_f32(dst, 4);
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&alpha_n));
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&alpha_p));
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&beta));
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&eps));
+                    params.push_back(ggml_webgpu_u32_from_f32(alpha_n));
+                    params.push_back(ggml_webgpu_u32_from_f32(alpha_p));
+                    params.push_back(ggml_webgpu_u32_from_f32(beta));
+                    params.push_back(ggml_webgpu_u32_from_f32(eps));
                     break;
                 }
             default:
@@ -1373,46 +1711,39 @@ static webgpu_command ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * s
     } else if (dst->op == GGML_OP_CLAMP) {
         float clamp_min = ggml_get_op_params_f32(dst, 0);
         float clamp_max = ggml_get_op_params_f32(dst, 1);
-        params.push_back(*reinterpret_cast<const uint32_t *>(&clamp_min));
-        params.push_back(*reinterpret_cast<const uint32_t *>(&clamp_max));
+        params.push_back(ggml_webgpu_u32_from_f32(clamp_min));
+        params.push_back(ggml_webgpu_u32_from_f32(clamp_max));
     } else if (dst->op == GGML_OP_FILL) {
         float fill_val = ggml_get_op_params_f32(dst, 0);
-        params.push_back(*reinterpret_cast<const uint32_t *>(&fill_val));
+        params.push_back(ggml_webgpu_u32_from_f32(fill_val));
         effective_src = dst;  // fill simply fills dst
     }
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(effective_src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, effective_src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, effective_src) },
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, effective_src),
     };
     if (!inplace) {
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     }
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_binary_op(webgpu_context & ctx,
-                                            ggml_tensor *    src0,
-                                            ggml_tensor *    src1,
-                                            ggml_tensor *    dst) {
+static webgpu_encoded_op ggml_webgpu_binary_op(webgpu_context & ctx,
+                                               ggml_tensor *    src0,
+                                               ggml_tensor *    src1,
+                                               ggml_tensor *    dst) {
     binary_overlap_flags flags = ggml_webgpu_detect_binary_overlap(src0, src1, dst);
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = flags.inplace,
-        .overlap     = flags.overlap,
-        .src_overlap = flags.src_overlap,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = flags.inplace;
+    shader_lib_ctx.overlap     = flags.overlap;
+    shader_lib_ctx.src_overlap = flags.src_overlap;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_binary_pipeline(shader_lib_ctx);
 
@@ -1461,49 +1792,29 @@ static webgpu_command ggml_webgpu_binary_op(webgpu_context & ctx,
         size_t merged_offset = std::min(src0_webgpu_tensor_align_offset, src1_webgpu_tensor_align_offset);
         size_t merged_end    = std::max(src0_webgpu_tensor_align_offset + ggml_webgpu_tensor_binding_size(ctx, src0),
                                         src1_webgpu_tensor_align_offset + ggml_webgpu_tensor_binding_size(ctx, src1));
-        entries.push_back({
-            .binding = 0,
-            .buffer  = ggml_webgpu_tensor_buf(src0),
-            .offset  = merged_offset,
-            .size    = merged_end - merged_offset,
-        });
-        entries.push_back({
-            .binding = 1,
-            .buffer  = ggml_webgpu_tensor_buf(dst),
-            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-            .size    = ggml_webgpu_tensor_binding_size(ctx, dst),
-        });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0), merged_offset,
+                                                            merged_end - merged_offset));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     } else {
-        entries.push_back({
-            .binding = 0,
-            .buffer  = ggml_webgpu_tensor_buf(src0),
-            .offset  = src0_webgpu_tensor_align_offset,
-            .size    = ggml_webgpu_tensor_binding_size(ctx, src0),
-        });
-        entries.push_back({
-            .binding = 1,
-            .buffer  = ggml_webgpu_tensor_buf(src1),
-            .offset  = src1_webgpu_tensor_align_offset,
-            .size    = ggml_webgpu_tensor_binding_size(ctx, src1),
-        });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0),
+                                                            src0_webgpu_tensor_align_offset,
+                                                            ggml_webgpu_tensor_binding_size(ctx, src0)));
+        entries.push_back(ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1),
+                                                            src1_webgpu_tensor_align_offset,
+                                                            ggml_webgpu_tensor_binding_size(ctx, src1)));
         if (!flags.inplace && !flags.overlap) {
-            entries.push_back({
-                .binding = 2,
-                .buffer  = ggml_webgpu_tensor_buf(dst),
-                .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                .size    = ggml_webgpu_tensor_binding_size(ctx, dst),
-            });
+            entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst));
         }
     }
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_concat(webgpu_context & ctx,
-                                         ggml_tensor *    src0,
-                                         ggml_tensor *    src1,
-                                         ggml_tensor *    dst) {
+static webgpu_encoded_op ggml_webgpu_concat(webgpu_context & ctx,
+                                            ggml_tensor *    src0,
+                                            ggml_tensor *    src1,
+                                            ggml_tensor *    dst) {
     uint32_t ne  = (uint32_t) ggml_nelements(dst);
     uint32_t dim = (uint32_t) dst->op_params[0];
 
@@ -1529,34 +1840,24 @@ static webgpu_command ggml_webgpu_concat(webgpu_context & ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_concat_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
     uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * dst) {
     uint32_t ne = (uint32_t) ggml_nelements(dst);
 
     std::vector<uint32_t> params = { ne,
@@ -1576,30 +1877,23 @@ static webgpu_command ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src
                                      (uint32_t) (dst->ne[2]) };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
     };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_repeat_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
     uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_rms_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
-    int inplace = ggml_webgpu_tensor_equal(src, dst);
+static webgpu_encoded_op ggml_webgpu_row_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+    bool inplace = ggml_webgpu_tensor_equal(src, dst);
 
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
@@ -1614,31 +1908,41 @@ static webgpu_command ggml_webgpu_rms_norm(webgpu_context & ctx, ggml_tensor * s
         (uint32_t) src->ne[1],
         (uint32_t) src->ne[2],
         (uint32_t) src->ne[3],
-        *(uint32_t *) dst->op_params  // epsilon, treated as f32 in the shader
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 0))  // epsilon, treated as f32 in the shader
     };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src) };
     if (!inplace) {
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     }
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, ctx->rms_norm_pipelines[inplace], params,
-                                     entries, ggml_nrows(src));
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = inplace;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_row_norm_pipeline(shader_lib_ctx);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, ggml_nrows(src));
 }
 
-static webgpu_command ggml_webgpu_rope(webgpu_context & ctx,
-                                       ggml_tensor *    src0,
-                                       ggml_tensor *    src1,
-                                       ggml_tensor *    src2,
-                                       ggml_tensor *    dst) {
+static webgpu_encoded_op ggml_webgpu_rope(webgpu_context & ctx,
+                                          ggml_tensor *    src0,
+                                          ggml_tensor *    src1,
+                                          ggml_tensor *    src2,
+                                          ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = ggml_webgpu_tensor_equal(src0, dst);
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_rope_pipeline(shader_lib_ctx);
+
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
     const int inplace         = ggml_webgpu_tensor_equal(src0, dst);
     const int has_freq_factor = (src2 != nullptr);
 
@@ -1684,49 +1988,47 @@ static webgpu_command ggml_webgpu_rope(webgpu_context & ctx,
         (uint32_t) src0->ne[2],
         (uint32_t) n_dims,
         (uint32_t) mode,
-        *(uint32_t *) &theta_scale,
-        *(uint32_t *) &attn_factor,
-        *(uint32_t *) &freq_scale,
-        *(uint32_t *) &ext_factor,
-        *(uint32_t *) &corr_dims[0],
-        *(uint32_t *) &corr_dims[1],
+        ggml_webgpu_u32_from_f32(theta_scale),
+        ggml_webgpu_u32_from_f32(attn_factor),
+        ggml_webgpu_u32_from_f32(freq_scale),
+        ggml_webgpu_u32_from_f32(ext_factor),
+        ggml_webgpu_u32_from_f32(corr_dims[0]),
+        ggml_webgpu_u32_from_f32(corr_dims[1]),
         (uint32_t) sections[0],
         (uint32_t) sections[1],
         (uint32_t) sections[2],
         (uint32_t) sections[3]
     };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) }
-    };
-    uint32_t dst_binding = 2;
+    std::vector<wgpu::BindGroupEntry> entries     = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+                                                      ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1) };
+    uint32_t                          dst_binding = 2;
     if (has_freq_factor) {
         dst_binding = 3;
-        entries.push_back({ .binding = 2,
-                            .buffer  = ggml_webgpu_tensor_buf(src2),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src2),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src2) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2));
     }
     if (!inplace) {
-        entries.push_back({ .binding = dst_binding,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, dst_binding, dst));
     }
 
-    webgpu_pipeline pipeline = ctx->rope_pipelines[dst->type][has_freq_factor][inplace];
-    uint32_t        wg_x     = CEIL_DIV(ggml_nelements(dst), WEBGPU_MAX_WG_SIZE);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_glu(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * src1, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_glu(webgpu_context & ctx,
+                                         ggml_tensor *    src0,
+                                         ggml_tensor *    src1,
+                                         ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_glu_pipeline(shader_lib_ctx);
+
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
     const int split = (src1 != nullptr);
 
     std::vector<uint32_t> params = {
@@ -1749,45 +2051,34 @@ static webgpu_command ggml_webgpu_glu(webgpu_context & ctx, ggml_tensor * src0,
         (uint32_t) dst->ne[0],
         (uint32_t) dst->ne[1],
         (uint32_t) dst->ne[2],
-        (uint32_t) ((int32_t *) dst->op_params)[1],  // swapped
-        *(uint32_t *) &dst->op_params[2],            // alpha, for swiglu_oai
-        *(uint32_t *) &dst->op_params[3],            // limit, for swiglu_oai
+        (uint32_t) ((int32_t *) dst->op_params)[1],                // swapped
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 2)),  // alpha, for swiglu_oai
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 3)),  // limit, for swiglu_oai
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
     };
     uint32_t dst_binding = 1;
     if (split) {
         dst_binding = 2;
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(src1),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src1) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1));
     }
-    entries.push_back({ .binding = dst_binding,
-                        .buffer  = ggml_webgpu_tensor_buf(dst),
-                        .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                        .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, dst_binding, dst));
 
-    webgpu_pipeline pipeline = ctx->glu_pipelines[ggml_get_glu_op(dst)][dst->type][split];
-    uint32_t        wg_x     = CEIL_DIV(ggml_nelements(dst), WEBGPU_MAX_WG_SIZE);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool inplace = ggml_webgpu_tensor_equal(src, dst);
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = inplace,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = inplace;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_scale_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
@@ -1806,54 +2097,55 @@ static webgpu_command ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src,
         (uint32_t) src->ne[0],
         (uint32_t) src->ne[1],
         (uint32_t) src->ne[2],
-        *(uint32_t *) dst->op_params,     // scale
-        *(uint32_t *) &dst->op_params[1]  // bias
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 0)),  // scale
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 1))   // bias
     };
 
     // bindgroups unchanged
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src) };
 
     if (!inplace) {
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     }
 
     uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
-}
-
-static webgpu_command ggml_webgpu_soft_max(webgpu_context & ctx,
-                                           ggml_tensor *    src0,
-                                           ggml_tensor *    src1,
-                                           ggml_tensor *    src2,
-                                           ggml_tensor *    dst) {
-    const int inplace   = ggml_webgpu_tensor_equal(src0, dst);
-    const int mask_type = (src1 != nullptr) ? src1->type : 2;  // use 2 for no mask here
-    const int has_sink  = (src2 != nullptr);
-    float     max_bias;
-    memcpy(&max_bias, (float *) dst->op_params + 1, sizeof(float));
-    float n_head_log2 = float(1u << (uint32_t) floor(log2(src0->ne[2])));
-    float m0          = powf(2.0f, -(max_bias) / n_head_log2);
-    float m1          = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static webgpu_encoded_op ggml_webgpu_soft_max(webgpu_context & ctx,
+                                              ggml_tensor *    src0,
+                                              ggml_tensor *    src1,
+                                              ggml_tensor *    src2,
+                                              ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.inplace     = ggml_webgpu_tensor_equal(src0, dst);
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_soft_max_pipeline(shader_lib_ctx);
+
+    const int inplace     = ggml_webgpu_tensor_equal(src0, dst);
+    const int has_mask    = (src1 != nullptr);
+    const int has_sink    = (src2 != nullptr);
+    float     max_bias    = ggml_get_op_params_f32(dst, 1);
+    float     n_head_log2 = float(1u << (uint32_t) floor(log2(src0->ne[2])));
+    float     m0          = powf(2.0f, -(max_bias) / n_head_log2);
+    float     m1          = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
 
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
-        mask_type < 2 ? (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)) : 0,
+        has_mask ? (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)) : 0,
         has_sink ? (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)) : 0,
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
         (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
         (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
         (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
-        mask_type < 2 ? (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)) : 0,
-        mask_type < 2 ? (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)) : 0,
-        mask_type < 2 ? (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)) : 0,
+        has_mask ? (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)) : 0,
+        has_mask ? (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)) : 0,
+        has_mask ? (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)) : 0,
         (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
         (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
         (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
@@ -1861,83 +2153,63 @@ static webgpu_command ggml_webgpu_soft_max(webgpu_context & ctx,
         (uint32_t) src0->ne[0],
         (uint32_t) src0->ne[1],
         (uint32_t) src0->ne[2],
-        mask_type < 2 ? (uint32_t) src1->ne[2] : 0,
-        mask_type < 2 ? (uint32_t) src1->ne[3] : 0,
-        *(uint32_t *) dst->op_params,  // scale
-        *(uint32_t *) &max_bias,
-        *(uint32_t *) &n_head_log2,
-        *(uint32_t *) &m0,
-        *(uint32_t *) &m1
+        has_mask ? (uint32_t) src1->ne[2] : 0,
+        has_mask ? (uint32_t) src1->ne[3] : 0,
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 0)),  // scale
+        ggml_webgpu_u32_from_f32(max_bias),
+        ggml_webgpu_u32_from_f32(n_head_log2),
+        ggml_webgpu_u32_from_f32(m0),
+        ggml_webgpu_u32_from_f32(m1)
     };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) }
-    };
-    uint32_t binding_num = 1;
-    if (mask_type < 2) {
-        entries.push_back({ .binding = binding_num,
-                            .buffer  = ggml_webgpu_tensor_buf(src1),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src1) });
+    std::vector<wgpu::BindGroupEntry> entries     = { ggml_webgpu_make_bind_group_entry(
+        0, ggml_webgpu_tensor_buf(src0), ggml_webgpu_tensor_align_offset(ctx, src0),
+        ggml_webgpu_tensor_binding_size(ctx, src0)) };
+    uint32_t                          binding_num = 1;
+    if (has_mask) {
+        entries.push_back(ggml_webgpu_make_bind_group_entry(binding_num, ggml_webgpu_tensor_buf(src1),
+                                                            ggml_webgpu_tensor_align_offset(ctx, src1),
+                                                            ggml_webgpu_tensor_binding_size(ctx, src1)));
         binding_num++;
     }
     if (has_sink) {
-        entries.push_back({ .binding = binding_num,
-                            .buffer  = ggml_webgpu_tensor_buf(src2),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src2),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src2) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_num, src2));
         binding_num++;
     }
     if (!inplace) {
-        entries.push_back({ .binding = binding_num,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_num, dst));
     }
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool,
-                                     ctx->soft_max_pipelines[mask_type][has_sink][inplace], params, entries,
-                                     ggml_nrows(dst));
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, ggml_nrows(dst));
 }
 
-static webgpu_command ggml_webgpu_argmax(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_argmax(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
                                      (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
                                      (uint32_t) src->ne[0] };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_argmax_pipeline(shader_lib_ctx);
     uint32_t        wg_x     = ggml_nelements(dst);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool is_top_k = dst->op == GGML_OP_TOP_K;
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0               = src,
-        .src1               = nullptr,
-        .dst                = dst,
-        .max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
 
     webgpu_pipeline argsort_pipeline = ctx->shader_lib->get_argsort_pipeline(shader_lib_ctx);
     auto * argsort_decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(argsort_pipeline.context.get());
@@ -1986,10 +2258,7 @@ static webgpu_command ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * sr
     const uint32_t stride_idx2 = out_ne0 * (uint32_t) dst->ne[1];
     const uint32_t stride_idx3 = stride_idx2 * (uint32_t) dst->ne[2];
 
-    std::vector<webgpu_pipeline>                   pipelines;
-    std::vector<std::vector<uint32_t>>             params_list;
-    std::vector<std::vector<wgpu::BindGroupEntry>> entries_list;
-    std::vector<std::pair<uint32_t, uint32_t>>     workgroups_list;
+    std::vector<webgpu_dispatch_desc> dispatches;
 
     const uint32_t init_offset       = start_in_tmp ? offset_tmp : offset_dst;
     const size_t   init_align_offset = start_in_tmp ? tmp_offset : ggml_webgpu_tensor_align_offset(ctx, dst);
@@ -2006,21 +2275,16 @@ static webgpu_command ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * sr
     const uint32_t                    wg_x_init = std::min(total_wg_init, max_wg);
     const uint32_t                    wg_y_init = CEIL_DIV(total_wg_init, wg_x_init);
     std::vector<wgpu::BindGroupEntry> init_entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1, .buffer = ggml_webgpu_tensor_buf(dst), .offset = init_align_offset, .size = init_binding_size }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), init_align_offset, init_binding_size)
     };
 
-    pipelines.push_back(argsort_pipeline);
-    params_list.push_back(std::move(init_params));
-    entries_list.push_back(std::move(init_entries));
-    workgroups_list.push_back({ wg_x_init, wg_y_init });
+    dispatches.push_back({
+        argsort_pipeline, std::move(init_params), std::move(init_entries), { wg_x_init, wg_y_init }
+    });
 
     if (merge_passes == 0) {
-        return ggml_backend_webgpu_build_multi(ctx->global_ctx, ctx->param_buf_pool, pipelines, params_list,
-                                               entries_list, workgroups_list);
+        return ggml_backend_webgpu_build_multi(ctx, dispatches);
     }
 
     bool     in_is_tmp = start_in_tmp;
@@ -2061,59 +2325,45 @@ static webgpu_command ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * sr
                                                nrows };
 
         std::vector<wgpu::BindGroupEntry> merge_entries = {
-            { .binding = 0,
-             .buffer  = ggml_webgpu_tensor_buf(src),
-             .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-             .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-            { .binding = 1, .buffer = ggml_webgpu_tensor_buf(dst), .offset = align_in, .size = size_in },
-            { .binding = 2, .buffer = ggml_webgpu_tensor_buf(dst), .offset = align_out, .size = size_out }
+            ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), align_in, size_in),
+            ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(dst), align_out, size_out)
         };
 
         const uint32_t total_wg_merge = nm * nrows;
         const uint32_t wg_x_merge     = std::min(total_wg_merge, max_wg);
         const uint32_t wg_y_merge     = CEIL_DIV(total_wg_merge, wg_x_merge);
-        workgroups_list.push_back({ wg_x_merge, wg_y_merge });
-        pipelines.push_back(argsort_merge_pipeline);
-        params_list.push_back(std::move(merge_params));
-        entries_list.push_back(std::move(merge_entries));
+        dispatches.push_back({
+            argsort_merge_pipeline, std::move(merge_params), std::move(merge_entries), { wg_x_merge, wg_y_merge }
+        });
 
         len <<= 1;
         in_is_tmp = !in_is_tmp;
     }
 
-    return ggml_backend_webgpu_build_multi(ctx->global_ctx, ctx->param_buf_pool, pipelines, params_list, entries_list,
-                                           workgroups_list);
+    return ggml_backend_webgpu_build_multi(ctx, dispatches);
 }
 
-static webgpu_command ggml_webgpu_cumsum(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_cumsum(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
                                      (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
                                      (uint32_t) src->ne[0] };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_cumsum_pipeline(shader_lib_ctx);
     uint32_t        wg_x     = ggml_nrows(dst);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_command ggml_webgpu_sum_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+static webgpu_encoded_op ggml_webgpu_sum_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool                  total_sum = dst->op == GGML_OP_SUM;
     std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
                                      (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
@@ -2124,29 +2374,22 @@ static webgpu_command ggml_webgpu_sum_rows(webgpu_context & ctx, ggml_tensor * s
                                      total_sum ? 1 : (uint32_t) src->ne[1],
                                      total_sum ? 1 : (uint32_t) src->ne[2] };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_sum_rows_pipeline(shader_lib_ctx);
 
     uint32_t wg_x = total_sum ? 1 : ggml_nrows(dst);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
 // Returns the encoded command, or std::nullopt if the operation is a no-op
-static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx, ggml_tensor * node) {
+static std::optional<webgpu_encoded_op> ggml_webgpu_encode_node(webgpu_context ctx, ggml_tensor * node) {
     if (ggml_is_empty(node)) {
         return std::nullopt;
     }
@@ -2170,12 +2413,16 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
         case GGML_OP_CPY:
         case GGML_OP_CONT:
             return ggml_webgpu_cpy(ctx, src0, node);
+        case GGML_OP_SET:
+            return ggml_webgpu_set(ctx, src0, src1, node);
         case GGML_OP_SET_ROWS:
             return ggml_webgpu_set_rows(ctx, src0, src1, node);
         case GGML_OP_GET_ROWS:
             return ggml_webgpu_get_rows(ctx, src0, src1, node);
         case GGML_OP_MUL_MAT:
             return ggml_webgpu_mul_mat(ctx, src0, src1, node);
+        case GGML_OP_MUL_MAT_ID:
+            return ggml_webgpu_mul_mat_id(ctx, src0, src1, src2, node);
         case GGML_OP_FLASH_ATTN_EXT:
 #ifndef __EMSCRIPTEN__
             return ggml_webgpu_flash_attn(ctx, src0, src1, src2, node->src[3], node->src[4], node);
@@ -2192,7 +2439,8 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
         case GGML_OP_REPEAT:
             return ggml_webgpu_repeat(ctx, src0, node);
         case GGML_OP_RMS_NORM:
-            return ggml_webgpu_rms_norm(ctx, src0, node);
+        case GGML_OP_L2_NORM:
+            return ggml_webgpu_row_norm(ctx, src0, node);
         case GGML_OP_ROPE:
             return ggml_webgpu_rope(ctx, src0, src1, src2, node);
         case GGML_OP_GLU:
@@ -2209,7 +2457,15 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
         case GGML_OP_SQRT:
         case GGML_OP_SIN:
         case GGML_OP_COS:
+        case GGML_OP_DIAG:
+        case GGML_OP_TRI:
             return ggml_webgpu_unary_op(ctx, src0, node);
+        case GGML_OP_SOLVE_TRI:
+            return ggml_webgpu_solve_tri(ctx, src0, src1, node);
+        case GGML_OP_SSM_CONV:
+            return ggml_webgpu_ssm_conv(ctx, src0, src1, node);
+        case GGML_OP_GATED_DELTA_NET:
+            return ggml_webgpu_gated_delta_net(ctx, src0, src1, src2, node->src[3], node->src[4], node->src[5], node);
         case GGML_OP_PAD:
             return ggml_webgpu_pad(ctx, src0, node);
         case GGML_OP_ARGMAX:
@@ -2228,6 +2484,55 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
     }
 }
 
+#ifdef GGML_WEBGPU_GPU_PROFILE
+static void ggml_backend_webgpu_collect_profile_results(webgpu_context &                 ctx,
+                                                        const std::vector<std::string> & pipeline_names,
+                                                        uint32_t &                       num_inflight_batches) {
+    if (pipeline_names.empty()) {
+        return;
+    }
+
+    wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
+    encoder.ResolveQuerySet(ctx->profile_timestamp_query_set, 0, ctx->profile_timestamp_query_count,
+                            ctx->profile_timestamp_dev_buf, 0);
+    encoder.CopyBufferToBuffer(ctx->profile_timestamp_dev_buf, 0, ctx->profile_timestamp_host_buf, 0,
+                               ctx->profile_timestamp_query_count * sizeof(uint64_t));
+
+    wgpu::CommandBuffer profile_commands = encoder.Finish();
+    ggml_backend_webgpu_submit_commands(ctx, profile_commands, num_inflight_batches);
+
+    const size_t mapped_size = ctx->profile_timestamp_query_count * sizeof(uint64_t);
+    GGML_ASSERT(ctx->profile_timestamp_query_count == 2 * pipeline_names.size());
+
+    ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->profile_timestamp_host_buf, wgpu::MapMode::Read, 0,
+                                   mapped_size);
+    const uint64_t * ts_data = (const uint64_t *) ctx->profile_timestamp_host_buf.GetConstMappedRange(0, mapped_size);
+
+    for (size_t i = 0; i < pipeline_names.size(); ++i) {
+        // WebGPU timestamps are in ns; convert to ms.
+        const double elapsed_ms = double(ts_data[2 * i + 1] - ts_data[2 * i]) * 1e-6;
+        ctx->global_ctx->shader_gpu_time_ms[pipeline_names[i]] += elapsed_ms;
+    }
+
+    ctx->profile_timestamp_host_buf.Unmap();
+}
+#endif
+
+static void ggml_backend_webgpu_check_set_rows(webgpu_context & ctx, uint32_t & num_inflight_batches) {
+    wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
+    encoder.CopyBufferToBuffer(ctx->set_rows_dev_error_buf, 0, ctx->set_rows_host_error_buf, 0,
+                               ctx->set_rows_host_error_buf.GetSize());
+    wgpu::CommandBuffer commands = encoder.Finish();
+    ggml_backend_webgpu_submit_commands(ctx, commands, num_inflight_batches);
+    ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->set_rows_host_error_buf, wgpu::MapMode::Read, 0,
+                                   ctx->set_rows_host_error_buf.GetSize());
+    const uint32_t * error_data = (const uint32_t *) ctx->set_rows_host_error_buf.GetConstMappedRange();
+    if (*error_data) {
+        GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported.");
+    }
+    ctx->set_rows_host_error_buf.Unmap();
+}
+
 static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
     WEBGPU_LOG_DEBUG("ggml_backend_webgpu_graph_compute(" << cgraph->n_nodes << " nodes)");
 
@@ -2236,10 +2541,23 @@ static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, str
 
     WEBGPU_CPU_PROFILE_TOTAL_START(graph_compute);
 
-    std::vector<webgpu_command>    commands;
-    std::vector<webgpu_submission> subs;
-    uint32_t                       num_batched_kernels = 0;
-    bool                           contains_set_rows   = false;
+    std::vector<webgpu_encoded_op> commands;
+
+    uint32_t num_batched_kernels  = 0;
+    uint32_t num_inflight_batches = 0;
+    bool     contains_set_rows    = false;
+    bool     batch_compute_passes = true;
+
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    ctx->profile_timestamp_query_count = 0;
+    batch_compute_passes               = false;
+    std::vector<std::string> profile_pipeline_names;
+#endif
+
+    ctx->active_command_encoder = ctx->global_ctx->device.CreateCommandEncoder();
+    if (batch_compute_passes) {
+        ctx->active_compute_pass = ctx->active_command_encoder.BeginComputePass();
+    }
 
     for (int i = 0; i < cgraph->n_nodes; i++) {
         if (cgraph->nodes[i]->op == GGML_OP_SET_ROWS) {
@@ -2248,39 +2566,53 @@ static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, str
         if (auto cmd = ggml_webgpu_encode_node(ctx, cgraph->nodes[i])) {
             commands.push_back(*cmd);
             num_batched_kernels += cmd.value().num_kernels;
+#ifdef GGML_WEBGPU_GPU_PROFILE
+            profile_pipeline_names.insert(profile_pipeline_names.end(), cmd->pipeline_names.begin(),
+                                          cmd->pipeline_names.end());
+#endif
         }
 
-        if (num_batched_kernels >= WEBGPU_COMMAND_SUBMIT_BATCH_SIZE) {
-            num_batched_kernels = 0;
-            subs.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool));
-            // Process events and check for completed submissions
-            ctx->global_ctx->instance.ProcessEvents();
-            ggml_backend_webgpu_wait(ctx->global_ctx, subs, false);
+        if (num_batched_kernels >= ctx->global_ctx->command_submit_batch_size) {
+            if (ctx->active_compute_pass) {
+                ctx->active_compute_pass.End();
+            }
+            num_batched_kernels                = 0;
+            wgpu::CommandBuffer batch_commands = ctx->active_command_encoder.Finish();
+            ggml_backend_webgpu_submit_commands(ctx, batch_commands, num_inflight_batches);
+
+            // reset state for next batch
+            ctx->active_command_encoder = ctx->global_ctx->device.CreateCommandEncoder();
+            if (batch_compute_passes) {
+                ctx->active_compute_pass = ctx->active_command_encoder.BeginComputePass();
+            }
+            ctx->param_arena.reset();
             commands.clear();
         }
     }
-    if (!commands.empty()) {
-        subs.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool));
+
+    if (ctx->active_compute_pass) {
+        ctx->active_compute_pass.End();
+        ctx->active_compute_pass = nullptr;
+    }
+
+    if (num_batched_kernels > 0) {
+        wgpu::CommandBuffer batch_commands = ctx->active_command_encoder.Finish();
+        ggml_backend_webgpu_submit_commands(ctx, batch_commands, num_inflight_batches);
+        ctx->param_arena.reset();
         commands.clear();
     }
+    ctx->active_command_encoder = nullptr;
+
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    ggml_backend_webgpu_collect_profile_results(ctx, profile_pipeline_names, num_inflight_batches);
+#endif
 
-    // If there are SET_ROWS operations in this graph, copy the error buffers to the host for checking.
     if (contains_set_rows) {
-        wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
-        encoder.CopyBufferToBuffer(ctx->set_rows_dev_error_buf, 0, ctx->set_rows_host_error_buf, 0,
-                                   ctx->set_rows_host_error_buf.GetSize());
-        wgpu::CommandBuffer set_rows_commands = encoder.Finish();
-        ctx->global_ctx->queue.Submit(1, &set_rows_commands);
-        ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->set_rows_host_error_buf, wgpu::MapMode::Read, 0,
-                                       ctx->set_rows_host_error_buf.GetSize());
-        const uint32_t * error_data = (const uint32_t *) ctx->set_rows_host_error_buf.GetConstMappedRange();
-        if (*error_data) {
-            GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported.");
-        }
-        ctx->set_rows_host_error_buf.Unmap();
+        ggml_backend_webgpu_check_set_rows(ctx, num_inflight_batches);
     }
 
-    ggml_backend_webgpu_wait(ctx->global_ctx, subs);
+    ggml_backend_webgpu_wait_queue(ctx->global_ctx);
+
     WEBGPU_CPU_PROFILE_TOTAL_END(graph_compute, ctx->global_ctx);
     return GGML_STATUS_SUCCESS;
 }
@@ -2290,6 +2622,8 @@ static ggml_backend_i ggml_backend_webgpu_i = {
     /* .free                    = */ ggml_backend_webgpu_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
@@ -2375,17 +2709,6 @@ static void ggml_backend_webgpu_buffer_set_tensor(ggml_backend_buffer_t buffer,
         // memset the remaining bytes
         ggml_backend_webgpu_buffer_memset(buf_ctx->global_ctx, buf_ctx->buffer, val32,
                                           total_offset + (size - remaining_size), remaining_size);
-    } else {
-        // wait for WriteBuffer to complete
-        buf_ctx->global_ctx->instance.WaitAny(buf_ctx->global_ctx->queue.OnSubmittedWorkDone(
-                                                  wgpu::CallbackMode::AllowSpontaneous,
-                                                  [](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) {
-                                                      if (status != wgpu::QueueWorkDoneStatus::Success) {
-                                                          GGML_LOG_ERROR("ggml_webgpu: Failed to submit commands: %s\n",
-                                                                         std::string(message).c_str());
-                                                      }
-                                                  }),
-                                              UINT64_MAX);
     }
     WEBGPU_CPU_PROFILE_TOTAL_END(set_tensor, buf_ctx->global_ctx);
 }
@@ -2458,6 +2781,8 @@ static ggml_backend_buffer_i ggml_backend_webgpu_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_webgpu_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_webgpu_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_webgpu_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,  // TODO: optional, implement this
     /* .clear           = */ ggml_backend_webgpu_buffer_clear,
     /* .reset           = */ NULL,  // TODO: optional, think it coordinates with
@@ -2526,6 +2851,81 @@ static size_t ggml_backend_webgpu_buffer_type_get_alloc_size(ggml_backend_buffer
                 }
             }
             break;
+        case GGML_OP_FLASH_ATTN_EXT:
+            {
+                const ggml_tensor * Q     = tensor->src[0];
+                const ggml_tensor * K     = tensor->src[1];
+                const ggml_tensor * V     = tensor->src[2];
+                const ggml_tensor * mask  = tensor->src[3];
+                const ggml_tensor * sinks = tensor->src[4];
+                if (Q && K && V) {
+                    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+                    shader_lib_ctx.src0                           = const_cast<ggml_tensor *>(Q);
+                    shader_lib_ctx.src1                           = const_cast<ggml_tensor *>(K);
+                    shader_lib_ctx.src2                           = const_cast<ggml_tensor *>(V);
+                    shader_lib_ctx.src3                           = const_cast<ggml_tensor *>(mask);
+                    shader_lib_ctx.src4                           = const_cast<ggml_tensor *>(sinks);
+                    shader_lib_ctx.dst                            = const_cast<ggml_tensor *>(tensor);
+                    shader_lib_ctx.max_wg_size =
+                        ctx->webgpu_global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+                    shader_lib_ctx.wg_mem_limit_bytes =
+                        ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+                    shader_lib_ctx.sg_mat_m          = ctx->webgpu_global_ctx->capabilities.sg_mat_m;
+                    shader_lib_ctx.sg_mat_n          = ctx->webgpu_global_ctx->capabilities.sg_mat_n;
+                    shader_lib_ctx.sg_mat_k          = ctx->webgpu_global_ctx->capabilities.sg_mat_k;
+                    shader_lib_ctx.max_subgroup_size = ctx->webgpu_global_ctx->capabilities.max_subgroup_size;
+
+                    if (ggml_webgpu_flash_attn_use_vec(ctx->webgpu_global_ctx, Q, K, V)) {
+                        const uint32_t kv_tile = ggml_webgpu_flash_attn_vec_get_kv_tile(shader_lib_ctx);
+
+                        const uint32_t vec_nwg_cap = std::max(
+                            1u, std::min<uint32_t>(32u, ctx->webgpu_global_ctx->capabilities.max_subgroup_size));
+                        uint32_t       nwg     = 1u;
+                        const uint64_t kv_span = (uint64_t) std::max(1u, kv_tile);
+                        while ((2u * nwg * kv_span) < (uint64_t) K->ne[1] && nwg < vec_nwg_cap) {
+                            nwg <<= 1;
+                        }
+                        nwg = std::min(nwg, vec_nwg_cap);
+
+                        const size_t align =
+                            ctx->webgpu_global_ctx->capabilities.limits.minStorageBufferOffsetAlignment;
+                        const uint64_t nrows = (uint64_t) Q->ne[1] * Q->ne[2] * Q->ne[3];
+                        if (nwg > 1u) {
+                            const uint64_t tmp_data_elems  = nrows * (uint64_t) V->ne[0] * nwg;
+                            const uint64_t tmp_stats_elems = nrows * 2u * nwg;
+                            const size_t   tmp_size_bytes  = ROUNDUP_POW2(
+                                (tmp_data_elems + tmp_stats_elems) * sizeof(float), WEBGPU_STORAGE_BUF_BINDING_MULT);
+                            res += tmp_size_bytes + align;
+                        }
+                        if (mask != nullptr) {
+                            const uint32_t blk_nblk0       = CEIL_DIV((uint32_t) K->ne[1], kv_tile);
+                            const uint32_t blk_nblk1       = CEIL_DIV((uint32_t) Q->ne[1], 1u);
+                            const uint32_t stride_mask3    = (uint32_t) (mask->nb[3] / ggml_type_size(mask->type));
+                            const uint32_t blk_batch_count = stride_mask3 > 0 ? (uint32_t) Q->ne[3] : 1u;
+                            const uint64_t blk_elems       = (uint64_t) blk_nblk0 * blk_nblk1 * blk_batch_count;
+                            const size_t   blk_size_bytes =
+                                ROUNDUP_POW2(blk_elems * sizeof(uint32_t), WEBGPU_STORAGE_BUF_BINDING_MULT);
+                            res += blk_size_bytes + align;
+                        }
+                        res = ROUNDUP_POW2(res, WEBGPU_STORAGE_BUF_BINDING_MULT);
+                    }
+                }
+            }
+            break;
+        case GGML_OP_MUL_MAT_ID:
+            {
+                const ggml_tensor * src0 = tensor->src[0];
+                const ggml_tensor * src1 = tensor->src[1];
+                if (src0 && src1) {
+                    const size_t gathered_size = sizeof(uint32_t) * tensor->src[0]->ne[2] * tensor->src[1]->ne[2];
+                    const size_t gathered_count_ids_size = sizeof(uint32_t) * tensor->src[0]->ne[2];
+                    res                                  = ROUNDUP_POW2(
+                        res + gathered_size * 2 + gathered_count_ids_size +
+                            ctx->webgpu_global_ctx->capabilities.limits.minStorageBufferOffsetAlignment * 3,
+                        WEBGPU_STORAGE_BUF_BINDING_MULT);
+                }
+            }
+            break;
         default:
             break;
     }
@@ -2581,8 +2981,9 @@ static void ggml_backend_webgpu_device_get_props(ggml_backend_dev_t dev, struct
 }
 
 static ggml_guid_t ggml_backend_webgpu_guid(void) {
-    static const char * guid_str = "__ggml_webgpu :)";
-    return reinterpret_cast<ggml_guid_t>((void *) guid_str);
+    static ggml_guid guid = { 0x67, 0xc7, 0xa4, 0xb1, 0x78, 0x74, 0x4f, 0x51,
+                              0x9d, 0x65, 0x44, 0x6d, 0xe4, 0x1b, 0x82, 0x9a };
+    return &guid;
 }
 
 static void ggml_webgpu_init_memset_pipeline(webgpu_global_context & ctx) {
@@ -2592,153 +2993,11 @@ static void ggml_webgpu_init_memset_pipeline(webgpu_global_context & ctx) {
     ctx->capabilities.memset_bytes_per_thread =
         CEIL_DIV(ctx->capabilities.limits.maxStorageBufferBindingSize, max_threads);
     std::vector<wgpu::ConstantEntry> constants(2);
-    constants[0].key         = "wg_size";
-    constants[0].value       = WEBGPU_MAX_WG_SIZE;
-    constants[1].key         = "bytes_per_thread";
-    constants[1].value       = ctx->capabilities.memset_bytes_per_thread;
-    ctx->memset_pipelines[0] = ggml_webgpu_create_pipeline(ctx->device, wgsl_memset, "memset", constants);
-}
-
-static void ggml_webgpu_init_cpy_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE);
-
-    webgpu_ctx->cpy_pipelines[GGML_TYPE_F32][GGML_TYPE_F32] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_cpy_f32_f32, "cpy_f32_f32", constants);
-    webgpu_ctx->cpy_pipelines[GGML_TYPE_F32][GGML_TYPE_I32] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_cpy_f32_i32, "cpy_f32_i32", constants);
-    webgpu_ctx->cpy_pipelines[GGML_TYPE_F32][GGML_TYPE_F16] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_cpy_f32_f16, "cpy_f32_f16", constants);
-    webgpu_ctx->cpy_pipelines[GGML_TYPE_F16][GGML_TYPE_F32] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_cpy_f16_f32, "cpy_f16_f32", constants);
-    webgpu_ctx->cpy_pipelines[GGML_TYPE_F16][GGML_TYPE_F16] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_cpy_f16_f16, "cpy_f16_f16", constants);
-}
-
-static void ggml_webgpu_init_rms_norm_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_ROW_SPLIT_WG_SIZE);
-
-    webgpu_ctx->rms_norm_pipelines[0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_rms_norm, "rms_norm", constants);
-    webgpu_ctx->rms_norm_pipelines[1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_rms_norm_inplace, "rms_norm_inplace", constants);
-}
-
-static void ggml_webgpu_init_rope_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE);
-
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F32][0][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_rope_f32, "rope_f32", constants);
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F32][0][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_rope_f32_inplace, "rope_f32_inplace", constants);
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F32][1][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_rope_f32_ff, "rope_f32_ff", constants);
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F32][1][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_rope_f32_ff_inplace, "rope_f32_ff_inplace", constants);
-
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F16][0][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_rope_f16, "rope_f16", constants);
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F16][0][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_rope_f16_inplace, "rope_f16_inplace", constants);
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F16][1][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_rope_f16_ff, "rope_f16_ff", constants);
-    webgpu_ctx->rope_pipelines[GGML_TYPE_F16][1][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_rope_f16_ff_inplace, "rope_f16_ff_inplace", constants);
-}
-
-static void ggml_webgpu_init_glu_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE);
-
-    // REGLU
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_REGLU][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_reglu_f32, "reglu_f32", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_REGLU][GGML_TYPE_F16][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_reglu_f16, "reglu_f16", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_REGLU][GGML_TYPE_F32][1] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_reglu_f32_split, "reglu_f32_split", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_REGLU][GGML_TYPE_F16][1] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_reglu_f16_split, "reglu_f16_split", constants);
-
-    // GEGLU
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_f32, "geglu_f32", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU][GGML_TYPE_F16][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_f16, "geglu_f16", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU][GGML_TYPE_F32][1] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_f32_split, "geglu_f32_split", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU][GGML_TYPE_F16][1] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_f16_split, "geglu_f16_split", constants);
-
-    // SWIGLU
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_SWIGLU][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_swiglu_f32, "swiglu_f32", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_SWIGLU][GGML_TYPE_F16][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_swiglu_f16, "swiglu_f16", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_SWIGLU][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_swiglu_f32_split, "swiglu_f32_split", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_SWIGLU][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_swiglu_f16_split, "swiglu_f16_split", constants);
-
-    // SWIGLU_OAI
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_SWIGLU_OAI][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_swiglu_oai_f32, "swiglu_oai_f32", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_SWIGLU_OAI][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_swiglu_oai_f32_split, "swiglu_oai_f32_split", constants);
-
-    // GEGLU_ERF
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_ERF][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_erf_f32, "geglu_erf_f32", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_ERF][GGML_TYPE_F16][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_erf_f16, "geglu_erf_f16", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_ERF][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_geglu_erf_f32_split, "geglu_erf_f32_split", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_ERF][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_geglu_erf_f16_split, "geglu_erf_f16_split", constants);
-
-    // GEGLU_QUICK
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_QUICK][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_quick_f32, "geglu_quick_f32", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_QUICK][GGML_TYPE_F16][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_geglu_quick_f16, "geglu_quick_f16", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_QUICK][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_geglu_quick_f32_split, "geglu_quick_f32_split", constants);
-    webgpu_ctx->glu_pipelines[GGML_GLU_OP_GEGLU_QUICK][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_geglu_quick_f16_split, "geglu_quick_f16_split", constants);
-}
-
-static void ggml_webgpu_init_soft_max_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_ROW_SPLIT_WG_SIZE);
-
-    // f32 (no mask)
-    webgpu_ctx->soft_max_pipelines[2][0][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_soft_max_f32, "soft_max_f32", constants);
-    webgpu_ctx->soft_max_pipelines[2][0][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_inplace, "soft_max_f32_inplace", constants);
-    webgpu_ctx->soft_max_pipelines[2][1][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_sink, "soft_max_f32_sink", constants);
-    webgpu_ctx->soft_max_pipelines[2][1][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_sink_inplace, "soft_max_f32_sink_inplace", constants);
-
-    // f32 mask (mask_type = 0)
-    webgpu_ctx->soft_max_pipelines[0][0][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f32, "soft_max_f32_mask_f32", constants);
-    webgpu_ctx->soft_max_pipelines[0][0][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f32_inplace, "soft_max_f32_mask_f32_inplace", constants);
-    webgpu_ctx->soft_max_pipelines[0][1][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f32_sink, "soft_max_f32_mask_f32_sink", constants);
-    webgpu_ctx->soft_max_pipelines[0][1][1] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f32_sink_inplace,
-                                    "soft_max_f32_mask_f32_sink_inplace", constants);
-
-    // f16 mask (mask_type = 1)
-    webgpu_ctx->soft_max_pipelines[1][0][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f16, "soft_max_f32_mask_f16", constants);
-    webgpu_ctx->soft_max_pipelines[1][0][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f16_inplace, "soft_max_f32_mask_f16_inplace", constants);
-    webgpu_ctx->soft_max_pipelines[1][1][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f16_sink, "soft_max_f32_mask_f16_sink", constants);
-    webgpu_ctx->soft_max_pipelines[1][1][1] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_soft_max_f32_mask_f16_sink_inplace,
-                                    "soft_max_f32_mask_f16_sink_inplace", constants);
+    constants[0].key     = "wg_size";
+    constants[0].value   = WEBGPU_MAX_WG_SIZE;
+    constants[1].key     = "bytes_per_thread";
+    constants[1].value   = ctx->capabilities.memset_bytes_per_thread;
+    ctx->memset_pipeline = ggml_webgpu_create_pipeline(ctx->device, wgsl_memset, "memset", constants);
 }
 
 static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
@@ -2776,19 +3035,25 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
     }
 #endif
     ctx->webgpu_global_ctx->adapter.GetInfo(&info);
+    ctx->webgpu_global_ctx->command_submit_batch_size = ggml_backend_webgpu_get_command_submit_batch_size();
+    ctx->webgpu_global_ctx->max_inflight_batches      = ggml_backend_webgpu_get_max_inflight_batches();
     wgpu::SupportedFeatures features;
     ctx->webgpu_global_ctx->adapter.GetFeatures(&features);
     // we require f16 support
     GGML_ASSERT(ctx->webgpu_global_ctx->adapter.HasFeature(wgpu::FeatureName::ShaderF16));
+    ctx->webgpu_global_ctx->capabilities.supports_subgroups =
+        ctx->webgpu_global_ctx->adapter.HasFeature(wgpu::FeatureName::Subgroups);
 
 #ifndef __EMSCRIPTEN__
-    // Only support square f16 matrices of size 8 or 16 for now
+    // Accept f16 subgroup matrix configurations (square or non-square).
+    // NVIDIA GPUs typically report square configs (e.g. 16x16x16),
+    // while Intel Xe2 GPUs report non-square configs (e.g. 8x16x16).
+    // The shaders are already parameterized to handle any M/N/K dimensions.
     bool valid_subgroup_matrix_config = false;
     if (ctx->webgpu_global_ctx->adapter.HasFeature(wgpu::FeatureName::ChromiumExperimentalSubgroupMatrix)) {
         for (size_t i = 0; i < subgroup_matrix_configs.configCount; i++) {
             const wgpu::SubgroupMatrixConfig config = subgroup_matrix_configs.configs[i];
-            if (config.M == config.N && config.N == config.K && (config.K == 8 || config.K == 16) &&
-                config.componentType == wgpu::SubgroupMatrixComponentType::F16 &&
+            if (config.componentType == wgpu::SubgroupMatrixComponentType::F16 &&
                 config.resultComponentType == wgpu::SubgroupMatrixComponentType::F16) {
                 ctx->webgpu_global_ctx->capabilities.sg_mat_m = config.M;
                 ctx->webgpu_global_ctx->capabilities.sg_mat_n = config.N;
@@ -2810,11 +3075,14 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
 #ifndef __EMSCRIPTEN__
     required_features.push_back(wgpu::FeatureName::ImplicitDeviceSynchronization);
     if (ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix) {
-        required_features.push_back(wgpu::FeatureName::Subgroups);
         required_features.push_back(wgpu::FeatureName::ChromiumExperimentalSubgroupMatrix);
     }
 #endif
 
+    if (ctx->webgpu_global_ctx->capabilities.supports_subgroups) {
+        required_features.push_back(wgpu::FeatureName::Subgroups);
+    }
+
 #ifdef GGML_WEBGPU_GPU_PROFILE
     required_features.push_back(wgpu::FeatureName::TimestampQuery);
 #endif
@@ -2870,19 +3138,11 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
     GGML_ASSERT(ctx->webgpu_global_ctx->device != nullptr);
 
     ggml_webgpu_init_memset_pipeline(ctx->webgpu_global_ctx);
-    ctx->webgpu_global_ctx->memset_buf_pool.init(ctx->webgpu_global_ctx->device, 1, WEBGPU_PARAMS_BUF_SIZE_BYTES,
-                                                 wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::Uniform,
-                                                 wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::MapWrite);
+    ggml_webgpu_create_buffer(ctx->webgpu_global_ctx->device, ctx->webgpu_global_ctx->memset_params_buf,
+                              WEBGPU_PARAMS_BUF_SIZE_BYTES, wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::Uniform,
+                              "memset_params_buf");
     ctx->webgpu_global_ctx->queue = ctx->webgpu_global_ctx->device.GetQueue();
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    // Initialize buffer pool for timestamp queries, used for profiling
-    ctx->webgpu_global_ctx->timestamp_query_buf_pool.init(
-        ctx->webgpu_global_ctx->device, WEBGPU_NUM_TIMESTAMP_QUERY_BUFS, WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES,
-        wgpu::BufferUsage::QueryResolve | wgpu::BufferUsage::CopySrc,
-        wgpu::BufferUsage::MapRead | wgpu::BufferUsage::CopyDst);
-#endif
-
     GGML_LOG_INFO(
         "ggml_webgpu: adapter_info: vendor_id: %u | vendor: %s | architecture: %s | device_id: %u | name: %s | "
         "device_desc: %s\n",
@@ -2896,9 +3156,10 @@ static webgpu_context initialize_webgpu_context(ggml_backend_dev_t dev) {
     webgpu_context                       webgpu_ctx = std::make_shared<webgpu_context_struct>();
     webgpu_ctx->global_ctx                          = dev_ctx->webgpu_global_ctx;
     webgpu_ctx->shader_lib = std::make_unique<ggml_webgpu_shader_lib>(dev_ctx->webgpu_global_ctx->device);
-    webgpu_ctx->param_buf_pool.init(webgpu_ctx->global_ctx->device, WEBGPU_NUM_PARAM_BUFS, WEBGPU_PARAMS_BUF_SIZE_BYTES,
-                                    wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::Uniform,
-                                    wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::MapWrite, true);
+    webgpu_ctx->param_arena.init(
+        webgpu_ctx->global_ctx->device, WEBGPU_PARAMS_BUF_SIZE_BYTES,
+        webgpu_ctx->global_ctx->command_submit_batch_size + WEBGPU_NUM_PARAM_SLOT_SAFETY_MARGIN,
+        webgpu_ctx->global_ctx->capabilities.limits.minUniformBufferOffsetAlignment);
     ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->set_rows_dev_error_buf,
                               WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
                               wgpu::BufferUsage::Storage | wgpu::BufferUsage::CopySrc, "set_rows_dev_error_buf");
@@ -2906,11 +3167,19 @@ static webgpu_context initialize_webgpu_context(ggml_backend_dev_t dev) {
                               WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
                               wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead, "set_rows_host_error_buf");
 
-    ggml_webgpu_init_cpy_pipeline(webgpu_ctx);
-    ggml_webgpu_init_rms_norm_pipeline(webgpu_ctx);
-    ggml_webgpu_init_rope_pipeline(webgpu_ctx);
-    ggml_webgpu_init_glu_pipeline(webgpu_ctx);
-    ggml_webgpu_init_soft_max_pipeline(webgpu_ctx);
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    ggml_webgpu_create_buffer(
+        webgpu_ctx->global_ctx->device, webgpu_ctx->profile_timestamp_dev_buf, WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES,
+        wgpu::BufferUsage::QueryResolve | wgpu::BufferUsage::CopySrc, "profile_timestamp_dev_buf");
+    ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->profile_timestamp_host_buf,
+                              WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES,
+                              wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead, "profile_timestamp_host_buf");
+    wgpu::QuerySetDescriptor query_set_desc = {};
+    query_set_desc.type                     = wgpu::QueryType::Timestamp;
+    query_set_desc.count                    = WEBGPU_MAX_PROFILE_QUERY_COUNT;
+    webgpu_ctx->profile_timestamp_query_set = webgpu_ctx->global_ctx->device.CreateQuerySet(&query_set_desc);
+#endif
+
 #ifdef GGML_WEBGPU_DEBUG
     // Initialize debug buffers
     ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->global_ctx->debug_host_buf,
@@ -2958,7 +3227,7 @@ static ggml_backend_buffer_type_t ggml_backend_webgpu_device_get_buffer_type(ggm
                         /* .is_host        = */ NULL,  // defaults to false
         },
         /* .device  = */
-         dev,
+        dev,
         /* .context = */ NULL
     };
 
@@ -3041,6 +3310,10 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
                            (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16)) ||
                           (op->type == GGML_TYPE_I32 && src0->type == GGML_TYPE_F32);
             break;
+        case GGML_OP_SET:
+            supports_op = src0->type == src1->type && src0->type == op->type &&
+                          (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_I32);
+            break;
         case GGML_OP_SET_ROWS:
             supports_op = ((op->type == GGML_TYPE_F16 || op->type == GGML_TYPE_F32) && src0->type == GGML_TYPE_F32 &&
                            (src1->type == GGML_TYPE_I64 || src1->type == GGML_TYPE_I32));
@@ -3091,12 +3364,46 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
                 }
                 break;
             }
+        case GGML_OP_MUL_MAT_ID:
+            switch (src1->type) {
+                case GGML_TYPE_F16:
+                    supports_op |= (src0->type == GGML_TYPE_F16);
+                    break;
+                case GGML_TYPE_F32:
+                    switch (src0->type) {
+                        case GGML_TYPE_F32:
+                        case GGML_TYPE_F16:
+                        case GGML_TYPE_Q4_0:
+                        case GGML_TYPE_Q4_1:
+                        case GGML_TYPE_Q5_0:
+                        case GGML_TYPE_Q5_1:
+                        case GGML_TYPE_Q8_0:
+                        case GGML_TYPE_Q2_K:
+                        case GGML_TYPE_Q3_K:
+                        case GGML_TYPE_Q4_K:
+                        case GGML_TYPE_Q5_K:
+                        case GGML_TYPE_Q6_K:
+                            supports_op = true;
+                            break;
+                        default:
+                            break;
+                    }
+                    break;
+                default:
+                    break;
+            }
+            break;
         case GGML_OP_FLASH_ATTN_EXT:
             {
 #ifndef __EMSCRIPTEN__
                 if (!ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix) {
                     break;
                 }
+                // Head dimensions must be divisible by subgroup matrix dimensions
+                if (src0->ne[0] % ctx->webgpu_global_ctx->capabilities.sg_mat_k != 0 ||
+                    src2->ne[0] % ctx->webgpu_global_ctx->capabilities.sg_mat_n != 0) {
+                    break;
+                }
                 // Head dimensions must fit in workgroup memory with minimum tile sizes
                 size_t     limit_bytes = ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
                 const bool has_mask    = op->src[3] != nullptr;
@@ -3118,6 +3425,7 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
                 break;
             }
         case GGML_OP_RMS_NORM:
+        case GGML_OP_L2_NORM:
             supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32;
             break;
         case GGML_OP_ROPE:
@@ -3180,6 +3488,27 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
                 }
             }
             break;
+        case GGML_OP_TRI:
+            supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32;
+            break;
+        case GGML_OP_DIAG:
+            supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32;
+            break;
+        case GGML_OP_SOLVE_TRI:
+            supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32;
+            break;
+        case GGML_OP_SSM_CONV:
+            supports_op = op->type == GGML_TYPE_F32;
+            break;
+        case GGML_OP_GATED_DELTA_NET:
+            {
+                const uint32_t s_v = (uint32_t) src2->ne[0];
+                supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 &&
+                              src2->type == GGML_TYPE_F32 && op->src[3]->type == GGML_TYPE_F32 &&
+                              op->src[4]->type == GGML_TYPE_F32 && op->src[5]->type == GGML_TYPE_F32 &&
+                              s_v <= ctx->webgpu_global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+            }
+            break;
         case GGML_OP_CLAMP:
             supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type);
             break;
@@ -3318,9 +3647,25 @@ static const struct ggml_backend_reg_i ggml_backend_webgpu_reg_i = {
 ggml_backend_reg_t ggml_backend_webgpu_reg() {
     WEBGPU_LOG_DEBUG("ggml_backend_webgpu_reg()");
 
-    static ggml_backend_webgpu_reg_context ctx;
-    ctx.name         = GGML_WEBGPU_NAME;
-    ctx.device_count = 1;
+    // Intentionally leak the global registry context to avoid crashing inside
+    // Dawn/Vulkan static teardown during process exit.
+    static ggml_backend_webgpu_reg_context * ctx = new ggml_backend_webgpu_reg_context();
+
+    static ggml_backend_reg reg = {
+        /* .api_version = */ GGML_BACKEND_API_VERSION,
+        /* .iface       = */ ggml_backend_webgpu_reg_i,
+        /* .context     = */ ctx,
+    };
+
+    ctx->name         = GGML_WEBGPU_NAME;
+    ctx->device_count = 0;
+
+    // Keep one Dawn/WebGPU instance alive for the lifetime of the static backend
+    // registry. Recreating it on repeated registry lookups can invalidate
+    // adapter/device references that are still held by the backend/device layer.
+    if (ctx->webgpu_global_ctx != nullptr && ctx->webgpu_global_ctx->instance != nullptr) {
+        return &reg;
+    }
 
     wgpu::InstanceDescriptor               instance_descriptor{};
     std::vector<wgpu::InstanceFeatureName> instance_features = { wgpu::InstanceFeatureName::TimedWaitAny };
@@ -3335,23 +3680,33 @@ ggml_backend_reg_t ggml_backend_webgpu_reg() {
     instance_descriptor.nextInChain        = &instanceTogglesDesc;
 #endif
 
-    wgpu::Instance inst             = wgpu::CreateInstance(&instance_descriptor);
-    ctx.webgpu_global_ctx           = webgpu_global_context(new webgpu_global_context_struct());
-    ctx.webgpu_global_ctx->instance = std::move(inst);
+    wgpu::Instance inst              = wgpu::CreateInstance(&instance_descriptor);
+    ctx->webgpu_global_ctx           = webgpu_global_context(new webgpu_global_context_struct());
+    ctx->webgpu_global_ctx->instance = std::move(inst);
 
-#ifdef __EMSCRIPTEN__
-    if (ctx.webgpu_global_ctx->instance == nullptr) {
-        GGML_LOG_ERROR("ggml_webgpu: Failed to create WebGPU instance. Make sure either -sASYNCIFY or -sJSPI is set\n");
-        return nullptr;
+    // Probe for adapter support
+    wgpu::Adapter adapter;
+    if (ctx->webgpu_global_ctx->instance != nullptr) {
+        wgpu::RequestAdapterOptions options = {};
+
+        // probe for adapter support
+        ctx->webgpu_global_ctx->instance.WaitAny(
+            ctx->webgpu_global_ctx->instance.RequestAdapter(
+                &options, wgpu::CallbackMode::AllowSpontaneous,
+                [&adapter](wgpu::RequestAdapterStatus status, wgpu::Adapter _adapter, const char * message) {
+                    if (status != wgpu::RequestAdapterStatus::Success) {
+                        GGML_LOG_ERROR("ggml_webgpu: Failed to get an adapter: %s\n", message);
+                        return;
+                    }
+                    adapter = std::move(_adapter);
+                }),
+            UINT64_MAX);
+    }
+
+    if (adapter != nullptr) {
+        ctx->device_count = 1;
     }
-#endif
-    GGML_ASSERT(ctx.webgpu_global_ctx->instance != nullptr);
 
-    static ggml_backend_reg reg = {
-        /* .api_version = */ GGML_BACKEND_API_VERSION,
-        /* .iface       = */ ggml_backend_webgpu_reg_i,
-        /* .context     = */ &ctx,
-    };
     return &reg;
 }
 
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
index 9a5b18ebc07b3263d35ec3a5138b91ebf46929ef..14c045b0ba64f8478aff5b3c11dd5f57f5cd7980 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
@@ -8,12 +8,74 @@ fn get_byte_i32(value: u32, index: u32) -> i32 {
 }
 #endif
 
-#ifdef Q4_0_T
-struct q4_0 {
-    d: f16,
-    qs: array<f16, 8>
-};
+#ifdef U32_DEQUANT_HELPERS
+#ifdef DECLARE_BYTE_LOADERS_SRC
+fn load_u16_at_src(byte_offset: u32) -> u32 {
+    let word = src[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    return (word >> shift) & 0xFFFFu;
+}
+
+fn load_u32_at_src(byte_offset: u32) -> u32 {
+    let word_idx = byte_offset / 4u;
+    let shift = (byte_offset & 0x3u) * 8u;
+    let lo = src[word_idx];
+    let hi = src[word_idx + 1u];
+    let shifted = (lo >> shift) | (hi << (32u - shift));
+    return select(shifted, lo, shift == 0u);
+}
+
+fn load_f16_at_src(byte_offset: u32) -> f16 {
+    let packed = unpack2x16float(load_u16_at_src(byte_offset));
+    return f16(packed[0]);
+}
+
+fn load_f16_as_f32_at_src(byte_offset: u32) -> f32 {
+    let word = src[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    let d_bits = (word >> shift) & 0xFFFFu;
+    return unpack2x16float(d_bits)[0];
+}
+#endif
+
+#ifdef DECLARE_BYTE_LOADERS_SRC0
+fn load_u16_at_src0(byte_offset: u32) -> u32 {
+    let word = src0[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    return (word >> shift) & 0xFFFFu;
+}
+
+// Always reads the 4-byte-aligned word containing byte_offset.
+// Caller extracts the 16-bit half it needs via & 0xFFFFu or >> 16u.
+// this is used in k-quants for better performance
+fn load_u32_at_src0_aligned(byte_offset: u32) -> u32 {
+    return src0[(byte_offset & ~3u) / 4u];
+}
+
+fn load_u32_at_src0(byte_offset: u32) -> u32 {
+    let word_idx = byte_offset / 4u;
+    let shift = (byte_offset & 0x3u) * 8u;
+    let lo = src0[word_idx];
+    let hi = src0[word_idx + 1u];
+    let shifted = (lo >> shift) | (hi << (32u - shift));
+    return select(shifted, lo, shift == 0u);
+}
+
+fn load_f16_at_src0(byte_offset: u32) -> f16 {
+    let packed = unpack2x16float(load_u16_at_src0(byte_offset));
+    return f16(packed[0]);
+}
+
+fn load_f16_as_f32_at_src0(byte_offset: u32) -> f32 {
+    let word = src0[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    let d_bits = (word >> shift) & 0xFFFFu;
+    return unpack2x16float(d_bits)[0];
+}
 #endif
+#endif
+
+
 
 #ifdef Q4_1_T
 struct q4_1 {
@@ -23,13 +85,6 @@ struct q4_1 {
 };
 #endif
 
-#ifdef Q5_0_T
-struct q5_0 {
-    d: f16,
-    qh: array<f16, 2>,
-    qs: array<f16, 8>
-};
-#endif
 
 #ifdef Q5_1_T
 struct q5_1 {
@@ -40,12 +95,6 @@ struct q5_1 {
 };
 #endif
 
-#ifdef Q8_0_T
-struct q8_0 {
-    d: f16,
-    qs: array<f16, 16>
-};
-#endif
 
 #ifdef Q8_1_T
 struct q8_1 {
@@ -64,14 +113,6 @@ struct q2_K {
 };
 #endif
 
-#ifdef Q3_K_T
-struct q3_K {
-    hmask: array<f16, 16>,
-    qs: array<f16, 32>,
-    scales: array<f16, 6>,
-    d: f16
-};
-#endif
 
 #if defined(Q4_K_SCALE_MIN) || defined(Q5_K_SCALE_MIN)
 fn get_scale_min(is: u32, scales: array<u32, 3>) -> vec2<f32> {
@@ -108,64 +149,6 @@ struct q5_K {
 };
 #endif
 
-#ifdef Q6_K_T
-struct q6_K {
-    ql: array<f16, 64>,
-    qh: array<f16, 32>,
-    scales: array<f16, 8>,
-    d: f16
-};
-#endif
-
-#ifdef IQ2_XXS_T
-struct iq2_xxs {
-    d: f16,
-    qs: array<f16, 32>
-};
-#endif
-
-#ifdef IQ2_XS_T
-struct iq2_xs {
-    d: f16,
-    qs: array<f16, 32>,
-    scales: array<f16, 4>
-};
-#endif
-
-#ifdef IQ2_S_T
-struct iq2_s {
-    d: f16,
-    qs: array<f16, 32>,
-    qh: array<f16, 4>,
-    scales: array<f16, 4>
-};
-#endif
-
-#ifdef IQ3_XXS_T
-struct iq3_xxs {
-    d: f16,
-    qs: array<f16, 48>
-};
-#endif
-
-#ifdef IQ3_S_T
-struct iq3_s {
-    d: f16,
-    qs: array<f16, 32>,
-    qh: array<f16, 4>,
-    signs: array<f16, 16>,
-    scales: array<f16, 2>
-};
-#endif
-
-#ifdef IQ1_S_T
-struct iq1_s {
-    d: f16,
-    qs: array<f16, 16>,
-    qh: array<f16, 8>
-};
-#endif
-
 #ifdef IQ1_M_T
 struct iq1_m {
     qs: array<u32, 8>,
@@ -174,17 +157,9 @@ struct iq1_m {
 };
 #endif
 
-#ifdef IQ4_NL_T
-struct iq4_nl {
-    d: f16,
-    qs: array<f16, 8>,
-};
-#endif
-
 #ifdef IQ4_XS_T
 struct iq4_xs {
-    d: f16,
-    scales_h: f16,
+    d_scales_h: u32,
     scales_l: u32,
     qs: array<u32, 32>
 };
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/cpy.wgsl
similarity index 60%
rename from ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/cpy.wgsl
index b5e93b812fde31a3328b9a2f982eb430774c2acb..fa3bdf4e3939f3be6a741c8d92dc74eb11389c6e 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/cpy.wgsl
@@ -1,66 +1,41 @@
-#define(VARIANTS)
-
-[
-  {
-    "REPLS": {
-      "SRC_TYPE": "f32",
-      "DST_TYPE": "f32"
-    }
-  },
-  {
-    "REPLS": {
-      "SRC_TYPE": "f32",
-      "DST_TYPE": "i32"
-    }
-  },
-  {
-    "REPLS": {
-      "SRC_TYPE": "f32",
-      "DST_TYPE": "f16"
-    }
-  },
-  {
-    "REPLS": {
-      "SRC_TYPE": "f16",
-      "DST_TYPE": "f16"
-    }
-  },
-  {
-    "REPLS": {
-      "SRC_TYPE": "f16",
-      "DST_TYPE": "f32"
-    }
-  }
-]
+enable f16;
 
-#end(VARIANTS)
+#ifdef SRC_F32
+#define SRC_TYPE f32
+#elif defined(SRC_F16)
+#define SRC_TYPE f16
+#endif
 
-#define(SHADER)
-enable f16;
+#ifdef DST_F32
+#define DST_TYPE f32
+#elif defined(DST_F16)
+#define DST_TYPE f16
+#elif defined(DST_I32)
+#define DST_TYPE i32
+#endif
 
 @group(0) @binding(0)
-var<storage, read_write> src: array<{{SRC_TYPE}}>;
+var<storage, read_write> src: array<SRC_TYPE>;
 
 @group(0) @binding(1)
-var<storage, read_write> dst: array<{{DST_TYPE}}>;
+var<storage, read_write> dst: array<DST_TYPE>;
 
-struct Params {
-    ne: u32,            // total number of elements
-    offset_src: u32,    // in elements
-    offset_dst: u32,    // in elements
+struct Params{
+    ne: u32,
+    offset_src: u32,
+    offset_dst: u32,
 
-    // Strides (in elements) — may be permuted
     stride_src0: u32,
     stride_src1: u32,
     stride_src2: u32,
     stride_src3: u32,
 
+
     stride_dst0: u32,
     stride_dst1: u32,
     stride_dst2: u32,
     stride_dst3: u32,
 
-    // Logical shapes
     src_ne0: u32,
     src_ne1: u32,
     src_ne2: u32,
@@ -73,8 +48,7 @@ struct Params {
 @group(0) @binding(2)
 var<uniform> params: Params;
 
-override wg_size: u32;
-@compute @workgroup_size(wg_size)
+@compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     if (gid.x >= params.ne) {
         return;
@@ -102,6 +76,6 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let dst_idx = j0 * params.stride_dst0 + j1 * params.stride_dst1 +
                   j2 * params.stride_dst2 + j3 * params.stride_dst3;
 
-    dst[params.offset_dst + dst_idx] = {{DST_TYPE}}((src[params.offset_src + src_idx]));
+    dst[params.offset_dst + dst_idx] = DST_TYPE((src[params.offset_src + src_idx]));
 }
-#end(SHADER)
+
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py b/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
index 8b5cfe715e75488ec35e6229d3bab30e3a9f564e..79a3a9597abe1f424304c1f15c00edef63fe2af0 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
@@ -1,41 +1,8 @@
 import os
 import re
-import ast
 import argparse
 
 
-def extract_block(text, name):
-    pattern = rf'#define\({name}\)\s*(.*?)#end\({name}\)'
-    match = re.search(pattern, text, re.DOTALL)
-    if not match:
-        raise ValueError(f"Missing block: {name}")
-    return match.group(1).strip()
-
-
-def parse_decls(decls_text):
-    decls = {}
-    for name, code in re.findall(r'#decl\((.*?)\)\s*(.*?)#enddecl\(\1\)', decls_text, re.DOTALL):
-        decls[name.strip()] = code.strip()
-    return decls
-
-
-def replace_repl_placeholders(variant, template_map):
-    for repl, code in variant["REPLS"].items():
-        for key, val in template_map.items():
-            # Match "key" and avoid matching subsequences using by using \b
-            code = re.sub(rf'\b{re.escape(str(key))}\b', str(val), code)
-        variant["REPLS"][repl] = code
-    return variant
-
-
-def replace_placeholders(shader_text, replacements):
-    for key, val in replacements.items():
-        # Match {{KEY}} literally, where KEY is escaped
-        pattern = r'{{\s*' + re.escape(key) + r'\s*}}'
-        shader_text = re.sub(pattern, str(val), shader_text)
-    return shader_text
-
-
 def expand_includes(shader, input_dir):
     """
     Replace #include "file" lines in the text with the contents of that file.
@@ -98,84 +65,24 @@ def write_shader(shader_name, shader_code, output_dir, outfile, input_dir):
         outfile.write(f'const char* wgsl_{shader_name} = wgsl_{shader_name}_str().c_str();\n\n')
 
 
-def generate_variants(fname, input_dir, output_dir, outfile):
-    shader_path = os.path.join(input_dir, fname)
-    shader_base_name = fname.split(".")[0]
-
-    with open(shader_path, "r", encoding="utf-8") as f:
-        text = f.read()
-
-    try:
-        variants = ast.literal_eval(extract_block(text, "VARIANTS"))
-    except ValueError:
-        write_shader(shader_base_name, text, output_dir, outfile, input_dir)
-    else:
-        try:
-            decls_map = parse_decls(extract_block(text, "DECLS"))
-        except ValueError:
-            decls_map = {}
-        try:
-            templates_map = ast.literal_eval(extract_block(text, "REPL_TEMPLATES"))
-        except ValueError:
-            templates_map = {}
-
-        for fname in sorted(os.listdir(input_dir)):
-            if fname.endswith(".tmpl"):
-                tmpl_path = os.path.join(input_dir, fname)
-                with open(tmpl_path, "r", encoding="utf-8") as f_tmpl:
-                    decls = f_tmpl.read()
-                    decls_map.update(parse_decls(decls))
-
-        shader_template = extract_block(text, "SHADER")
-        for variant in variants:
-            if "DECLS" in variant:
-                decls = variant["DECLS"]
-            else:
-                decls = []
-            decls_code = ""
-            for key in decls:
-                if key not in decls_map:
-                    raise ValueError(f"DECLS key '{key}' not found.")
-                decls_code += decls_map[key] + "\n\n"
-            final_shader = re.sub(r'\bDECLS\b', decls_code, shader_template)
-            if "REPLS" in variant:
-                variant = replace_repl_placeholders(variant, templates_map)
-                final_shader = replace_placeholders(final_shader, variant["REPLS"])
-                # second run to expand placeholders in repl_template
-                final_shader = replace_placeholders(final_shader, variant["REPLS"])
-            final_shader = expand_includes(final_shader, input_dir)
-
-            if "SHADER_NAME" in variant:
-                output_name = variant["SHADER_NAME"]
-            elif "SHADER_SUFFIX" in variant:
-                output_name = f"{shader_base_name}_" + variant["SHADER_SUFFIX"]
-            elif "REPLS" in variant and "SRC0_TYPE" in variant["REPLS"] and "SRC1_TYPE" in variant["REPLS"]:
-                output_name = f"{shader_base_name}_" + "_".join([variant["REPLS"]["SRC0_TYPE"], variant["REPLS"]["SRC1_TYPE"]])
-            elif "REPLS" in variant and "SRC_TYPE" in variant["REPLS"] and "DST_TYPE" in variant["REPLS"]:
-                output_name = f"{shader_base_name}_" + "_".join([variant["REPLS"]["SRC_TYPE"], variant["REPLS"]["DST_TYPE"]])
-            elif "REPLS" in variant and "TYPE" in variant["REPLS"]:
-                output_name = f"{shader_base_name}_" + variant["REPLS"]["TYPE"]
-            else:
-                output_name = shader_base_name
-            write_shader(output_name, final_shader, output_dir, outfile, input_dir)
-
-
 def main():
     parser = argparse.ArgumentParser()
     parser.add_argument("--input_dir", required=True)
     parser.add_argument("--output_file", required=True)
-    parser.add_argument("--output_dir")
     args = parser.parse_args()
 
-    if args.output_dir:
-        os.makedirs(args.output_dir, exist_ok=True)
-
     with open(args.output_file, "w", encoding="utf-8") as out:
         out.write("// Auto-generated shader embedding\n")
         out.write("#include <string>\n\n")
         for fname in sorted(os.listdir(args.input_dir)):
             if fname.endswith(".wgsl"):
-                generate_variants(fname, args.input_dir, args.output_dir, out)
+                shader_path = os.path.join(args.input_dir, fname)
+                shader_name = fname.replace(".wgsl", "")
+
+                with open(shader_path, "r", encoding="utf-8") as f:
+                    shader_code = f.read()
+
+                write_shader(shader_name, shader_code, None, out, args.input_dir)
 
 
 if __name__ == "__main__":
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl
index b6822161464c6a7d8d7e494288de48bb268d3252..aa2d2e54db9d63904c66be1faaf7391ccf37f4c5 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl
@@ -6,6 +6,8 @@ enable chromium_experimental_subgroup_matrix;
 
 #ifdef KV_F32
 #define KV_TYPE f32
+#elif defined(KV_Q4_0) || defined(KV_Q8_0)
+#define KV_TYPE u32
 #else
 #define KV_TYPE f16
 #endif
@@ -37,11 +39,13 @@ enable chromium_experimental_subgroup_matrix;
 #define NQ 16
 // Q4_0 has 32 elements, 1 f16 for scale, 8 f16 for 4-bit weights
 #define F16_PER_BLOCK 9
+#define BLOCK_SIZE_BYTES 18u
 #define WEIGHTS_PER_F16 4
 #elif defined(KV_Q8_0)
 #define NQ 8
 // Q8_0 has 32 elements, 1 f16 for scale, 16 f16 for 8-bit weights
 #define F16_PER_BLOCK 17
+#define BLOCK_SIZE_BYTES 34u
 #define WEIGHTS_PER_F16 2
 #endif
 #define F16_PER_THREAD (NQ / WEIGHTS_PER_F16)
@@ -55,6 +59,47 @@ fn get_byte_i32(value: u32, index: u32) -> i32 {
     return bitcast<i32>(((value >> (index * 8)) & 0xFF) << 24) >> 24;
 }
 
+#if defined(KV_Q4_0) || defined(KV_Q8_0)
+fn load_k_u16_at(byte_offset: u32) -> u32 {
+    let word = K[byte_offset / 4u];
+    let shift = (byte_offset & 2u) * 8u;
+    return (word >> shift) & 0xFFFFu;
+}
+
+fn load_k_u32_at(byte_offset: u32) -> u32 {
+    let word_idx = byte_offset / 4u;
+    let shift = (byte_offset & 3u) * 8u;
+    let lo = K[word_idx];
+    if (shift == 0u) {
+        return lo;
+    }
+    let hi = K[word_idx + 1u];
+    return (lo >> shift) | (hi << (32u - shift));
+}
+
+fn load_v_u16_at(byte_offset: u32) -> u32 {
+    let word = V[byte_offset / 4u];
+    let shift = (byte_offset & 2u) * 8u;
+    return (word >> shift) & 0xFFFFu;
+}
+
+fn load_v_u32_at(byte_offset: u32) -> u32 {
+    let word_idx = byte_offset / 4u;
+    let shift = (byte_offset & 3u) * 8u;
+    let lo = V[word_idx];
+    if (shift == 0u) {
+        return lo;
+    }
+    let hi = V[word_idx + 1u];
+    return (lo >> shift) | (hi << (32u - shift));
+}
+
+fn f16_from_u16(bits: u32) -> f16 {
+    let packed = unpack2x16float(bits);
+    return f16(packed[0]);
+}
+#endif
+
 struct Params {
     offset_q: u32,
     offset_k: u32,
@@ -254,12 +299,11 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
           if (global_k_row < params.seq_len_kv) {
               let global_block_idx = k_head_offset + global_k_row * params.stride_k1 + block_k;
-              let base_idx = global_block_idx * F16_PER_BLOCK;
-              let d = K[base_idx]; // scale
+              let block_byte_base = global_block_idx * BLOCK_SIZE_BYTES;
+              let d = f16_from_u16(load_k_u16_at(block_byte_base));
               for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-                  let q_0 = K[base_idx + 1u + block_offset + j];
-                  let q_1 = K[base_idx + 1u + block_offset + j + 1];
-                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
+                  let q_packed = load_k_u32_at(q_byte_offset);
                   for (var k = 0u; k < 4u; k++) {
                       let q_byte = get_byte(q_packed, k);
                       let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
@@ -282,12 +326,11 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
           if (global_k_row < params.seq_len_kv) {
               let global_block_idx = k_head_offset + global_k_row * params.stride_k1 + block_k;
-              let base_idx = global_block_idx * F16_PER_BLOCK;
-              let d = K[base_idx]; // scale
+              let block_byte_base = global_block_idx * BLOCK_SIZE_BYTES;
+              let d = f16_from_u16(load_k_u16_at(block_byte_base));
               for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-                  let q_0 = K[base_idx + 1u + block_offset + j];
-                  let q_1 = K[base_idx + 1u + block_offset + j + 1];
-                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
+                  let q_packed = load_k_u32_at(q_byte_offset);
                   for (var k = 0u; k < 4u; k++) {
                       let q_byte = get_byte_i32(q_packed, k);
                       let q_val = f16(q_byte) * d;
@@ -326,35 +369,35 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 #endif
           for (var kv_block = subgroup_id; kv_block < KV_BLOCKS; kv_block += num_subgroups) {
               let inter_offset = kv_block * SG_MAT_N;
-              var acc: subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N>>(&inter_shmem, inter_offset, false, KV_TILE);
+              var acc: subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M>>(&inter_shmem, inter_offset, false, KV_TILE);
 
-              var q_cur = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, 0u, false, HEAD_DIM_QK);
+              var q_cur = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, 0u, false, HEAD_DIM_QK);
 
 #ifdef KV_DIRECT
-              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + 0u, true, params.stride_k1);
+              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + 0u, true, params.stride_k1);
 #else
-              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + 0u, true, HEAD_DIM_QK);
+              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + 0u, true, HEAD_DIM_QK);
 #endif
 
               var t: u32 = 1u;
               for (; t + 1u < HEAD_DIM_QK / SG_MAT_K; t += 2u) {
                   let h0 = t * SG_MAT_K;
-                  var q0 = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, h0, false, HEAD_DIM_QK);
+                  var q0 = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, h0, false, HEAD_DIM_QK);
 #ifdef KV_DIRECT
-                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + h0, true, params.stride_k1);
+                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + h0, true, params.stride_k1);
 #else
-                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + h0, true, HEAD_DIM_QK);
+                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + h0, true, HEAD_DIM_QK);
 #endif
                   acc = subgroupMatrixMultiplyAccumulate(q_cur, k_cur, acc);
                   q_cur = q0;
                   k_cur = k0;
 
                   let h1 = (t + 1u) * SG_MAT_K;
-                  var q1g = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, h1, false, HEAD_DIM_QK);
+                  var q1g = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, h1, false, HEAD_DIM_QK);
 #ifdef KV_DIRECT
-                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + h1, true, params.stride_k1);
+                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + h1, true, params.stride_k1);
 #else
-                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + h1, true, HEAD_DIM_QK);
+                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + h1, true, HEAD_DIM_QK);
 #endif
                   acc = subgroupMatrixMultiplyAccumulate(q_cur, k_cur, acc);
                   q_cur = q1g;
@@ -364,11 +407,11 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
               // handle odd tail
               if (t < HEAD_DIM_QK / SG_MAT_K) {
                   let h = t * SG_MAT_K;
-                  var qn = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, h, false, HEAD_DIM_QK);
+                  var qn = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, h, false, HEAD_DIM_QK);
 #ifdef KV_DIRECT
-                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + h, true, params.stride_k1);
+                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + h, true, params.stride_k1);
 #else
-                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + h, true, HEAD_DIM_QK);
+                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + h, true, HEAD_DIM_QK);
 #endif
                   acc = subgroupMatrixMultiplyAccumulate(q_cur, k_cur, acc);
                   q_cur = qn;
@@ -459,12 +502,11 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
           if (global_v_row < params.seq_len_kv) {
               let global_block_idx = v_head_offset + global_v_row * params.stride_v1 + block_k;
-              let base_idx = global_block_idx * F16_PER_BLOCK;
-              let d = V[base_idx]; // scale
+              let block_byte_base = global_block_idx * BLOCK_SIZE_BYTES;
+              let d = f16_from_u16(load_v_u16_at(block_byte_base));
               for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-                  let q_0 = V[base_idx + 1u + block_offset + j];
-                  let q_1 = V[base_idx + 1u + block_offset + j + 1];
-                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
+                  let q_packed = load_v_u32_at(q_byte_offset);
                   for (var k = 0u; k < 4u; k++) {
                       let q_byte = get_byte(q_packed, k);
                       let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
@@ -487,12 +529,11 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
           if (global_v_row < params.seq_len_kv) {
               let global_block_idx = v_head_offset + global_v_row * params.stride_v1 + block_k;
-              let base_idx = global_block_idx * F16_PER_BLOCK;
-              let d = V[base_idx]; // scale
+              let block_byte_base = global_block_idx * BLOCK_SIZE_BYTES;
+              let d = f16_from_u16(load_v_u16_at(block_byte_base));
               for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-                  let q_0 = V[base_idx + 1u + block_offset + j];
-                  let q_1 = V[base_idx + 1u + block_offset + j + 1];
-                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
+                  let q_packed = load_v_u32_at(q_byte_offset);
                   for (var k = 0u; k < 4u; k++) {
                       let q_byte = get_byte_i32(q_packed, k);
                       let q_val = f16(q_byte) * d;
@@ -525,7 +566,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
            head_dim_block < HEAD_DIM_V;
            head_dim_block += num_subgroups * SG_MAT_N) {
               // load O submatrix from shared memory
-              var o_sg_mat: subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N>>(
+              var o_sg_mat: subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M>>(
                   &o_shmem,
                   head_dim_block,
                   false,
@@ -533,7 +574,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
               );
               for (var kv_block = 0u; kv_block < KV_BLOCKS; kv_block++) {
                   let p_offset = kv_block * SG_MAT_N;
-                  var p_sg_mat: subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K> = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(
+                  var p_sg_mat: subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M> = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(
                       &inter_shmem,
                       p_offset,
                       false,
@@ -544,7 +585,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 #ifdef KV_DIRECT
                   let v_block_row = kv_tile + kv_block * SG_MAT_N;
                   let v_global_offset = v_head_offset + v_block_row * params.stride_v1 + head_dim_block;
-                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(
+                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(
                       &V,
                       v_global_offset,
                       false,
@@ -552,7 +593,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
                   );
 #else
                   let v_block_offset = kv_block * SG_MAT_N * HEAD_DIM_V;
-                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(
+                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(
                       &kv_shmem,
                       v_block_offset + head_dim_block,
                       false,
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..61107c6a9854e0c1b2f9c073afd696c71d7a8e3c
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl
@@ -0,0 +1,101 @@
+diagnostic(off, subgroup_uniformity);
+enable f16;
+
+#define KV_TILE 32
+#define WG_SIZE 32
+
+struct Params {
+    offset_mask: u32,
+    seq_len_q: u32,
+    seq_len_kv: u32,
+    stride_mask3: u32,
+    // Number of KV blocks and Q blocks per batch.
+    // nblk0 = ceil(seq_len_kv / KV_TILE), nblk1 = seq_len_q.
+    nblk0: u32,
+    nblk1: u32,
+};
+
+@group(0) @binding(0) var<storage, read> mask: array<f16>;
+@group(0) @binding(1) var<storage, read_write> blk: array<u32>;
+@group(0) @binding(2) var<uniform> params: Params;
+
+const MASK_MIN: f32 = -65504.0;
+const MASK_MAX: f32 = 65504.0;
+var<workgroup> wg_min: array<f32, WG_SIZE>;
+var<workgroup> wg_max: array<f32, WG_SIZE>;
+var<workgroup> wg_any: array<u32, WG_SIZE>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(local_invocation_id) local_id: vec3<u32>) {
+    // Dispatch mapping:
+    //  - x indexes KV blocks
+    //  - y flattens (batch_idx, q_blk) as y = batch_idx * nblk1 + q_blk
+    let kv_blk = wg_id.x;
+    let y = wg_id.y;
+    let q_blk = y % params.nblk1;
+    let batch_idx = y / params.nblk1;
+    if (kv_blk >= params.nblk0) {
+        return;
+    }
+
+    let q_start = q_blk;
+    let k_start = kv_blk * KV_TILE;
+
+    let mask_batch = select(0u, batch_idx, params.stride_mask3 > 0u);
+    let mask_batch_base = params.offset_mask + mask_batch * params.stride_mask3;
+
+    // We keep min/max to classify:
+    //  - fully masked (max <= MASK_MIN)
+    //  - all-zero mask (min == 0 && max == 0)
+    //  - mixed/general mask
+    var local_min = MASK_MAX;
+    var local_max = -MASK_MAX;
+    var local_any = 0u;
+
+    let q_row = q_start;
+    if (q_row < params.seq_len_q) {
+        let row_base = mask_batch_base + q_row * params.seq_len_kv;
+        for (var k_rel = local_id.x; k_rel < KV_TILE; k_rel += WG_SIZE) {
+            let k_col = k_start + k_rel;
+            if (k_col >= params.seq_len_kv) {
+                continue;
+            }
+            let mv = f32(mask[row_base + k_col]);
+            local_min = min(local_min, mv);
+            local_max = max(local_max, mv);
+            local_any = 1u;
+        }
+    }
+
+    wg_min[local_id.x] = local_min;
+    wg_max[local_id.x] = local_max;
+    wg_any[local_id.x] = local_any;
+    workgroupBarrier();
+
+    // Thread 0 writes one state per block.
+    if (local_id.x == 0u) {
+        var mmin = wg_min[0];
+        var mmax = wg_max[0];
+        var many = wg_any[0];
+        for (var i = 1u; i < WG_SIZE; i += 1u) {
+            mmin = min(mmin, wg_min[i]);
+            mmax = max(mmax, wg_max[i]);
+            many = max(many, wg_any[i]);
+        }
+
+        var state = 0u;
+        if (many != 0u) {
+            if (mmax <= MASK_MIN) {
+                state = 0u;
+            } else if (mmin == 0.0 && mmax == 0.0) {
+                state = 2u;
+            } else {
+                state = 1u;
+            }
+        }
+
+        let blk_idx = (batch_idx * params.nblk1 + q_blk) * params.nblk0 + kv_blk;
+        blk[blk_idx] = state;
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..9a0de82a56a41688b8407aaa29613bcef99a92fb
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl
@@ -0,0 +1,78 @@
+diagnostic(off, subgroup_uniformity);
+enable f16;
+enable subgroups;
+
+// Default values
+#define HEAD_DIM_V 64
+#define WG_SIZE 128
+
+struct Params {
+    nrows: u32,
+    seq_len_q: u32,
+    n_heads: u32,
+    offset_dst: u32,
+    nwg: u32,
+    tmp_data_base: u32,
+    tmp_stats_base: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> tmp: array<f32>;
+@group(0) @binding(1) var<storage, read_write> dst: array<vec4<f32>>;
+@group(0) @binding(2) var<uniform> params: Params;
+
+const FLOAT_MIN: f32 = -1.0e9;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(subgroup_id) subgroup_id: u32,
+        @builtin(num_subgroups) num_subgroups: u32,
+        @builtin(subgroup_size) subgroup_size: u32,
+        @builtin(subgroup_invocation_id) sg_inv_id: u32) {
+    let rid = wg_id.x;
+    if (rid >= params.nrows) {
+        return;
+    }
+
+    let rows_per_batch = params.n_heads * params.seq_len_q;
+    let batch_idx = rid / rows_per_batch;
+    let rem = rid % rows_per_batch;
+    let head_idx = rem / params.seq_len_q;
+    let q_row = rem % params.seq_len_q;
+
+    let dst2_stride = HEAD_DIM_V * params.n_heads;
+    let dst3_stride = dst2_stride * params.seq_len_q;
+    let row_base = params.offset_dst + batch_idx * dst3_stride + q_row * dst2_stride + head_idx * HEAD_DIM_V;
+
+    let thread = sg_inv_id;
+    if (params.nwg > subgroup_size) {
+        return;
+    }
+
+    let stats_base = params.tmp_stats_base + rid * (2u * params.nwg);
+    let active_thread = thread < params.nwg;
+    let si = select(0.0, tmp[stats_base + 2u * thread + 0u], active_thread);
+    let mi = select(FLOAT_MIN, tmp[stats_base + 2u * thread + 1u], active_thread);
+    let m = subgroupMax(mi);
+    let ms = select(0.0, exp(mi - m), active_thread);
+    let s = subgroupAdd(si * ms);
+    let inv_s = select(0.0, 1.0 / s, s != 0.0);
+
+    let row_tmp_base = params.tmp_data_base + rid * (HEAD_DIM_V * params.nwg);
+    for (var elem_base = subgroup_id * 4u; elem_base < HEAD_DIM_V; elem_base += num_subgroups * 4u) {
+        var weighted = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+        if (active_thread) {
+            let src = row_tmp_base + thread * HEAD_DIM_V + elem_base;
+            weighted = vec4<f32>(tmp[src + 0u], tmp[src + 1u], tmp[src + 2u], tmp[src + 3u]) * ms;
+        }
+
+        let sum_x = subgroupAdd(weighted.x);
+        let sum_y = subgroupAdd(weighted.y);
+        let sum_z = subgroupAdd(weighted.z);
+        let sum_w = subgroupAdd(weighted.w);
+
+        if (thread == 0u) {
+            let dst_vec_index = (row_base + elem_base) >> 2u;
+            dst[dst_vec_index] = vec4<f32>(sum_x, sum_y, sum_z, sum_w) * inv_s;
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..a52575871ae2fbc9ae782fd6ba5af3a7575870a9
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl
@@ -0,0 +1,729 @@
+diagnostic(off, chromium.subgroup_matrix_uniformity);
+diagnostic(off, subgroup_uniformity);
+enable f16;
+enable subgroups;
+enable chromium_experimental_subgroup_matrix;
+
+#ifdef KV_F32
+#define KV_TYPE f32
+#else
+#define KV_TYPE f16
+#endif
+
+#define HEAD_DIM_QK 64
+#define HEAD_DIM_V 64
+
+
+#define SG_MAT_M 8
+#define SG_MAT_N 8
+#define SG_MAT_K 8
+
+#define Q_TILE SG_MAT_M
+#define KV_TILE 16
+#define WG_SIZE 64
+#ifndef VEC_NE
+#define VEC_NE 4u
+#endif
+
+#define KV_BLOCKS (KV_TILE / SG_MAT_N)
+
+#define BLOCK_SIZE 32
+#define BLOCKS_K ((HEAD_DIM_QK + BLOCK_SIZE - 1) / BLOCK_SIZE)
+#define BLOCKS_V ((HEAD_DIM_V + BLOCK_SIZE - 1) / BLOCK_SIZE)
+#if defined(KV_Q4_0)
+#define NQ 16
+#define F16_PER_BLOCK 9
+#define WEIGHTS_PER_F16 4
+#elif defined(KV_Q8_0)
+#define NQ 8
+#define F16_PER_BLOCK 17
+#define WEIGHTS_PER_F16 2
+#endif
+#define F16_PER_THREAD (NQ / WEIGHTS_PER_F16)
+
+fn get_byte(value: u32, index: u32) -> u32 {
+    return (value >> (index * 8)) & 0xFF;
+}
+
+fn get_byte_i32(value: u32, index: u32) -> i32 {
+    return bitcast<i32>(((value >> (index * 8)) & 0xFF) << 24) >> 24;
+}
+
+struct Params {
+    offset_q: u32,
+    offset_k: u32,
+    offset_v: u32,
+    offset_mask: u32,
+    offset_sinks: u32,
+    offset_dst: u32,
+
+    // shapes of Q/K/V
+    n_heads: u32,
+    seq_len_q: u32,
+    seq_len_kv: u32,
+
+    // strides (in elements)
+    stride_q1: u32,
+    stride_q2: u32,
+    stride_q3: u32,
+    stride_k1: u32,
+    stride_k2: u32,
+    stride_k3: u32,
+    stride_v1: u32,
+    stride_v2: u32,
+    stride_v3: u32,
+    stride_mask3: u32,
+
+    // repeat factors for K/V, e.g., MHA vs. MQA vs. GQA
+    q_per_kv: u32,
+
+    // softmax params
+    scale: f32,
+    max_bias: f32,
+    logit_softcap: f32,
+    n_head_log2: f32,
+    m0: f32,
+    m1: f32,
+
+#ifdef BLK
+    blk_base: u32,
+    blk_nblk0: u32,
+    blk_nblk1: u32,
+#endif
+
+    tmp_data_base: u32,
+    tmp_stats_base: u32,
+    nwg: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> Q: array<f32>;
+#if defined(KV_Q4_0) || defined(KV_Q8_0)
+@group(0) @binding(1) var<storage, read_write> K: array<KV_TYPE>;
+#else
+@group(0) @binding(1) var<storage, read_write> K: array<vec4<KV_TYPE>>;
+#endif
+#if defined(KV_Q4_0) || defined(KV_Q8_0)
+@group(0) @binding(2) var<storage, read_write> V: array<KV_TYPE>;
+#else
+@group(0) @binding(2) var<storage, read_write> V: array<vec4<KV_TYPE>>;
+#endif
+#if defined(MASK) && defined(SINKS)
+@group(0) @binding(3) var<storage, read_write> mask: array<f16>;
+@group(0) @binding(4) var<storage, read_write> sinks: array<f32>;
+#ifdef BLK
+#define BLK_BINDING 5
+#define TMP_BINDING 6
+#define DST_BINDING 7
+#define PARAMS_BINDING 8
+#else
+#define TMP_BINDING 5
+#define DST_BINDING 6
+#define PARAMS_BINDING 7
+#endif
+#elif defined(MASK)
+@group(0) @binding(3) var<storage, read_write> mask: array<f16>;
+#ifdef BLK
+#define BLK_BINDING 4
+#define TMP_BINDING 5
+#define DST_BINDING 6
+#define PARAMS_BINDING 7
+#else
+#define TMP_BINDING 4
+#define DST_BINDING 5
+#define PARAMS_BINDING 6
+#endif
+#elif defined(SINKS)
+@group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
+#define TMP_BINDING 4
+#define DST_BINDING 5
+#define PARAMS_BINDING 6
+#else
+#define TMP_BINDING 3
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#endif
+
+#ifdef BLK
+@group(0) @binding(BLK_BINDING) var<storage, read_write> blk: array<u32>;
+#endif
+@group(0) @binding(TMP_BINDING) var<storage, read_write> tmp: array<f32>;
+@group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<f32>>;
+@group(0) @binding(PARAMS_BINDING) var<uniform> params: Params;
+
+// Just a very small float value.
+const FLOAT_MIN: f32 = -1.0e9;
+
+var<workgroup> q_shmem: array<f16, Q_TILE * HEAD_DIM_QK>;
+
+#ifndef KV_DIRECT
+const kv_shmem_size = KV_TILE * max(HEAD_DIM_QK, HEAD_DIM_V);
+// we can reuse the same shmem for K and V since we only need one at a time
+var<workgroup> kv_shmem: array<f16, kv_shmem_size>;
+#endif
+
+var<workgroup> o_shmem: array<f16, Q_TILE * HEAD_DIM_V>;
+
+#ifdef MASK
+// storage for mask values
+var<workgroup> mask_shmem: array<f16, Q_TILE * KV_TILE>;
+#endif
+
+// note that we reuse the same storage for both since we only need one at a time
+var<workgroup> inter_shmem: array<f16, Q_TILE * KV_TILE>;
+
+// Storage for row max and exp sum during online softmax
+var<workgroup> row_max_shmem: array<f32, Q_TILE>;
+var<workgroup> exp_sum_shmem: array<f32, Q_TILE>;
+var<workgroup> blk_state_wg: u32;
+
+fn calc_softmax_term(kv_idx: u32, q_tile_row: u32, slope: f32, has_bias: bool, apply_mask: bool) -> f32 {
+    var v = select(FLOAT_MIN,
+                   f32(inter_shmem[kv_idx + q_tile_row * KV_TILE]) * params.scale,
+                   kv_idx < KV_TILE);
+#ifdef LOGIT_SOFTCAP
+    v = params.logit_softcap * tanh(v);
+#endif
+#ifdef MASK
+    if (apply_mask) {
+        var mask_val = select(0.0,f32(mask_shmem[q_tile_row * KV_TILE + kv_idx]), kv_idx < KV_TILE);
+        v += select(mask_val, slope * mask_val, has_bias);
+    }
+#endif
+    return v;
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+    @builtin(local_invocation_id) local_id: vec3<u32>,
+    @builtin(subgroup_id) subgroup_id: u32,
+    @builtin(subgroup_size) subgroup_size: u32,
+    @builtin(num_subgroups) num_subgroups: u32,
+    @builtin(subgroup_invocation_id) sg_inv_id: u32) {
+
+    // initialize row max for online softmax
+    for (var i = local_id.x; i < Q_TILE; i += WG_SIZE) {
+        row_max_shmem[i] = FLOAT_MIN;
+        exp_sum_shmem[i] = 0.0;
+    }
+
+    for (var i = local_id.x; i < Q_TILE * HEAD_DIM_V; i += WG_SIZE) {
+        o_shmem[i] = 0.0;
+    }
+
+    // workgroups per head/batch
+    let wg_per_head = (params.seq_len_q + Q_TILE - 1u) / Q_TILE;
+    let wg_per_batch = wg_per_head * params.n_heads;
+
+    let dst2_stride = HEAD_DIM_V * params.n_heads;
+    let dst3_stride = dst2_stride * params.seq_len_q;
+
+    let iwg = wg_id.x % params.nwg;
+    let base_wg_id = wg_id.x / params.nwg;
+
+    // batch index
+    let batch_idx = base_wg_id / wg_per_batch;
+    let q_batch_offset = params.offset_q + batch_idx * params.stride_q3;
+    let k_batch_offset = params.offset_k + batch_idx * params.stride_k3;
+    let v_batch_offset = params.offset_v + batch_idx * params.stride_v3;
+    let wg_in_batch = base_wg_id % wg_per_batch;
+
+    // head index
+    let head_idx = wg_in_batch / wg_per_head;
+    let q_head_offset = q_batch_offset + head_idx * params.stride_q2;
+    let k_head_idx = head_idx / params.q_per_kv;
+    let v_head_idx = k_head_idx;
+    let k_head_offset = k_batch_offset + k_head_idx * params.stride_k2;
+    let v_head_offset = v_batch_offset + v_head_idx * params.stride_v2;
+
+    // starting Q row for this workgroup
+    let wg_in_head = wg_in_batch % wg_per_head;
+    let q_row_start = wg_in_head * Q_TILE;
+
+#ifdef MASK
+    // mask offset
+    let mask_global_offset = params.offset_mask + batch_idx * params.stride_mask3 + q_row_start * params.seq_len_kv;
+#endif
+
+    let head = f32(head_idx);
+    let has_bias = params.max_bias > 0.0;
+    let slope = select(1.0, select(pow(params.m1, 2.0 * (head - params.n_head_log2) + 1.0), pow(params.m0, head + 1.0), head < params.n_head_log2), has_bias);
+
+    // load q tile into shared memory
+    for (var elem_idx = local_id.x; elem_idx < Q_TILE * HEAD_DIM_QK; elem_idx += WG_SIZE) {
+        let q_row = elem_idx / HEAD_DIM_QK;
+        let q_col = elem_idx % HEAD_DIM_QK;
+        let head_q_row = q_row_start + q_row;
+        let global_q_row_offset = q_head_offset + head_q_row * params.stride_q1;
+        q_shmem[elem_idx] = f16(select(
+            0.0,
+            Q[global_q_row_offset + q_col],
+            head_q_row < params.seq_len_q && q_col < HEAD_DIM_QK));
+    }
+
+    for (var kv_tile = iwg * KV_TILE; kv_tile < params.seq_len_kv; kv_tile += KV_TILE * params.nwg) {
+#ifdef BLK
+        let q_blk = q_row_start / Q_TILE;
+        let kv_blk = kv_tile / KV_TILE;
+        let blk_batch = select(0u, batch_idx, params.stride_mask3 > 0u);
+        let blk_idx = params.blk_base + (blk_batch * params.blk_nblk1 + q_blk) * params.blk_nblk0 + kv_blk;
+        let blk_state_local = blk[blk_idx];
+#else
+        let blk_state_local = 1u;
+#endif
+        if (local_id.x == 0u) {
+            blk_state_wg = blk_state_local;
+        }
+        workgroupBarrier();
+        let blk_state = blk_state_wg;
+        let skip_tile = blk_state == 0u;
+        for (var elem_idx = local_id.x; elem_idx < Q_TILE * KV_TILE; elem_idx += WG_SIZE) {
+            inter_shmem[elem_idx] = f16(0.0);
+        }
+
+      // load k tile into shared memory
+#if defined(KV_Q4_0)
+      for (var elem_idx = local_id.x * NQ; elem_idx < KV_TILE * HEAD_DIM_QK; elem_idx += WG_SIZE * NQ) {
+          let blck_idx = elem_idx / BLOCK_SIZE;
+          let block_offset = (elem_idx % BLOCK_SIZE) / WEIGHTS_PER_F16;
+          let k_row = blck_idx / BLOCKS_K;
+          let global_k_row = kv_tile + k_row;
+          let block_k = blck_idx % BLOCKS_K;
+          let row_offset = k_row * HEAD_DIM_QK;
+
+          if (global_k_row < params.seq_len_kv) {
+              let global_block_idx = k_head_offset + global_k_row * params.stride_k1 + block_k;
+              let base_idx = global_block_idx * F16_PER_BLOCK;
+              let d = K[base_idx];
+              for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+                  let q_0 = K[base_idx + 1u + block_offset + j];
+                  let q_1 = K[base_idx + 1u + block_offset + j + 1];
+                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  for (var k = 0u; k < 4u; k++) {
+                      let q_byte = get_byte(q_packed, k);
+                      let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
+                      let q_lo = (f16(q_byte & 0xF) - 8.0) * d;
+                      let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
+                      kv_shmem[row_offset + idx] = q_lo;
+                      kv_shmem[row_offset + idx + 16u] = q_hi;
+                  }
+              }
+          }
+      }
+#elif defined(KV_Q8_0)
+      for (var elem_idx = local_id.x * NQ; elem_idx < KV_TILE * HEAD_DIM_QK; elem_idx += WG_SIZE * NQ) {
+          let blck_idx = elem_idx / BLOCK_SIZE;
+          let block_offset = (elem_idx % BLOCK_SIZE) / WEIGHTS_PER_F16;
+          let k_row = blck_idx / BLOCKS_K;
+          let global_k_row = kv_tile + k_row;
+          let block_k = blck_idx % BLOCKS_K;
+          let row_offset = k_row * HEAD_DIM_QK;
+
+          if (global_k_row < params.seq_len_kv) {
+              let global_block_idx = k_head_offset + global_k_row * params.stride_k1 + block_k;
+              let base_idx = global_block_idx * F16_PER_BLOCK;
+              let d = K[base_idx];
+              for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+                  let q_0 = K[base_idx + 1u + block_offset + j];
+                  let q_1 = K[base_idx + 1u + block_offset + j + 1];
+                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  for (var k = 0u; k < 4u; k++) {
+                      let q_byte = get_byte_i32(q_packed, k);
+                      let q_val = f16(q_byte) * d;
+                      let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
+                      kv_shmem[row_offset + idx] = q_val;
+                  }
+              }
+          }
+      }
+#elif defined(KV_DIRECT)
+      // Direct global loads for KV
+#else
+      for (var elem_idx = local_id.x * 4u; elem_idx < KV_TILE * HEAD_DIM_QK; elem_idx += WG_SIZE * 4u) {
+          let k_row = elem_idx / HEAD_DIM_QK;
+          let k_col = elem_idx % HEAD_DIM_QK;
+          let global_k_row = kv_tile + k_row;
+          let global_k_row_offset = k_head_offset + global_k_row * params.stride_k1;
+          let in_bounds = global_k_row < params.seq_len_kv && (k_col + 3u) < HEAD_DIM_QK;
+          let vec_idx = (global_k_row_offset + k_col) >> 2u;
+          let k4 = select(vec4<KV_TYPE>(0.0), K[vec_idx], in_bounds);
+          kv_shmem[elem_idx + 0u] = f16(k4.x);
+          kv_shmem[elem_idx + 1u] = f16(k4.y);
+          kv_shmem[elem_idx + 2u] = f16(k4.z);
+          kv_shmem[elem_idx + 3u] = f16(k4.w);
+      }
+#endif
+
+      workgroupBarrier();
+
+      // accumulate q block * k block into registers across the entire KV tile
+      if (!skip_tile) {
+        let num_of_threads = subgroup_size / VEC_NE;
+        let tx = sg_inv_id % num_of_threads;
+        let ty = sg_inv_id / num_of_threads;
+          for (var q_tile_row = subgroup_id; q_tile_row < Q_TILE; q_tile_row += num_subgroups) {
+              let global_q_row = q_row_start + q_tile_row;
+              if (global_q_row >= params.seq_len_q) {
+                  continue;
+              }
+              let local_q_row_offset = q_tile_row * HEAD_DIM_QK;
+
+              for (var kv_base : u32 = 0u; kv_base < KV_TILE; kv_base += VEC_NE) {
+                  let kv_idx = kv_base + ty;
+                  var partial_sum: f32 = 0.0;
+                  let kv_valid = kv_idx < KV_TILE && (kv_tile + kv_idx) < params.seq_len_kv;
+                  if (kv_valid) {
+                    for (var i = tx; i < (HEAD_DIM_QK / 4u); i += num_of_threads) {
+                        let q_off = local_q_row_offset + i * 4u;
+
+                        let qv = vec4<f32>(
+                            f32(q_shmem[q_off + 0u]),
+                            f32(q_shmem[q_off + 1u]),
+                            f32(q_shmem[q_off + 2u]),
+                            f32(q_shmem[q_off + 3u]));
+#ifdef KV_DIRECT
+                        let idx = k_head_offset + (kv_tile + kv_idx) * params.stride_k1 + (i * 4u);
+                        let kv = vec4<f32>(K[idx >> 2u]);
+#else
+                        let idx = kv_idx * HEAD_DIM_QK + (i * 4u);
+                        let kv = vec4<f32>(
+                            f32(kv_shmem[idx + 0u]),
+                            f32(kv_shmem[idx + 1u]),
+                            f32(kv_shmem[idx + 2u]),
+                            f32(kv_shmem[idx + 3u]));
+#endif
+                        partial_sum += dot(qv, kv);
+                    }
+                  }
+                  var sum = partial_sum;
+                  // Reduce over tx threads (NL) for this ty stripe.
+                  var tx_delta = num_of_threads >> 1u;
+                  loop {
+                      if (tx_delta == 0u) {
+                          break;
+                      }
+                      let sh = subgroupShuffleDown(sum, tx_delta);
+                      if (tx < tx_delta) {
+                          sum += sh;
+                      }
+                      tx_delta >>= 1u;
+                  }
+
+                  let sum_bcast = subgroupShuffle(sum, num_of_threads * ty);
+                  if (tx == 0u && kv_valid) {
+                      let dst_idx = q_tile_row * KV_TILE + kv_idx;
+                      inter_shmem[dst_idx] = f16(sum_bcast);
+                  }
+              }
+          }
+      }
+
+
+#ifdef MASK
+      let apply_mask = !skip_tile && (blk_state != 2u);
+      if (apply_mask) {
+          // load mask tile into shared memory for this KV block
+          for (var elem_idx = local_id.x; elem_idx < Q_TILE * KV_TILE; elem_idx += WG_SIZE) {
+              let mask_row = elem_idx / KV_TILE;
+              let mask_col = elem_idx % KV_TILE;
+              let global_q_row = q_row_start + mask_row;
+              let global_k_col = kv_tile + mask_col;
+              let mask_in_bounds = global_q_row < params.seq_len_q && global_k_col < params.seq_len_kv;
+              let mask_idx = mask_global_offset + mask_row * params.seq_len_kv + global_k_col;
+              mask_shmem[elem_idx] = select(0.0, mask[mask_idx], mask_in_bounds);
+          }
+      }
+#else
+      let apply_mask = false;
+#endif
+
+      workgroupBarrier();
+
+      // online softmax
+      if (!skip_tile) {
+          for (var q_tile_row = subgroup_id; q_tile_row < Q_TILE; q_tile_row += num_subgroups) {
+              let global_q_row = q_row_start + q_tile_row;
+              if (global_q_row >= params.seq_len_q) {
+                  break;
+              }
+
+              var prev_max = row_max_shmem[q_tile_row];
+              var final_max = prev_max;
+              // pass 1: compute final max across the full KV tile in chunks
+              for (var kv_offset = 0u; kv_offset < KV_TILE; kv_offset += subgroup_size) {
+                  let kv_idx = kv_offset + sg_inv_id;
+                  let kv_valid = kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE;
+                  let softmax_term = select(FLOAT_MIN,
+                                            calc_softmax_term(kv_idx, q_tile_row, slope, has_bias, apply_mask),
+                                            kv_valid);
+                  final_max = subgroupMax(max(final_max, softmax_term));
+              }
+
+              var total_exp_term: f32 = 0.0;
+              // pass 2: compute exp sum and write P using final_max
+              for (var kv_offset = 0u; kv_offset < KV_TILE; kv_offset += subgroup_size) {
+                  let kv_idx = kv_offset + sg_inv_id;
+                  let softmax_term = calc_softmax_term(kv_idx, q_tile_row, slope, has_bias, apply_mask);
+                  let cur_p = select(0.0,
+                                     exp(softmax_term - final_max),
+                                     kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE);
+                  total_exp_term += subgroupAdd(cur_p);
+                  if (kv_idx < KV_TILE) {
+                      inter_shmem[kv_idx + q_tile_row * KV_TILE] = f16(cur_p);
+                  }
+              }
+
+              let cur_exp = exp(prev_max - final_max);
+
+              if (sg_inv_id == 0) {
+                  row_max_shmem[q_tile_row] = final_max;
+                  exp_sum_shmem[q_tile_row] = exp_sum_shmem[q_tile_row] * cur_exp + total_exp_term;
+              }
+
+              for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
+                  let idx = q_tile_row * HEAD_DIM_V + elem_idx;
+                  o_shmem[idx] = f16(f32(o_shmem[idx]) * cur_exp);
+              }
+          }
+      }
+
+      // load v tile into shared memory
+#if defined(KV_Q4_0)
+      for (var elem_idx = local_id.x * NQ; elem_idx < KV_TILE * HEAD_DIM_V; elem_idx += WG_SIZE * NQ) {
+          let blck_idx = elem_idx / BLOCK_SIZE;
+          let block_offset = (elem_idx % BLOCK_SIZE) / WEIGHTS_PER_F16;
+          let v_row = blck_idx / BLOCKS_V;
+          let global_v_row = kv_tile + v_row;
+          let block_k = blck_idx % BLOCKS_V;
+          let row_offset = v_row * HEAD_DIM_V;
+
+          if (global_v_row < params.seq_len_kv) {
+              let global_block_idx = v_head_offset + global_v_row * params.stride_v1 + block_k;
+              let base_idx = global_block_idx * F16_PER_BLOCK;
+              let d = V[base_idx];
+              for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+                  let q_0 = V[base_idx + 1u + block_offset + j];
+                  let q_1 = V[base_idx + 1u + block_offset + j + 1];
+                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  for (var k = 0u; k < 4u; k++) {
+                      let q_byte = get_byte(q_packed, k);
+                      let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
+                      let q_lo = (f16(q_byte & 0xF) - 8.0) * d;
+                      let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
+                      kv_shmem[row_offset + idx] = q_lo;
+                      kv_shmem[row_offset + idx + 16u] = q_hi;
+                  }
+              }
+          }
+      }
+#elif defined(KV_Q8_0)
+      for (var elem_idx = local_id.x * NQ; elem_idx < KV_TILE * HEAD_DIM_V; elem_idx += WG_SIZE * NQ) {
+          let blck_idx = elem_idx / BLOCK_SIZE;
+          let block_offset = (elem_idx % BLOCK_SIZE) / WEIGHTS_PER_F16;
+          let v_row = blck_idx / BLOCKS_V;
+          let global_v_row = kv_tile + v_row;
+          let block_k = blck_idx % BLOCKS_V;
+          let row_offset = v_row * HEAD_DIM_V;
+
+          if (global_v_row < params.seq_len_kv) {
+              let global_block_idx = v_head_offset + global_v_row * params.stride_v1 + block_k;
+              let base_idx = global_block_idx * F16_PER_BLOCK;
+              let d = V[base_idx];
+              for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+                  let q_0 = V[base_idx + 1u + block_offset + j];
+                  let q_1 = V[base_idx + 1u + block_offset + j + 1];
+                  let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                  for (var k = 0u; k < 4u; k++) {
+                      let q_byte = get_byte_i32(q_packed, k);
+                      let q_val = f16(q_byte) * d;
+                      let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
+                      kv_shmem[row_offset + idx] = q_val;
+                  }
+              }
+          }
+      }
+#elif defined(KV_DIRECT)
+      // Direct global loads for KV
+#else
+      for (var elem_idx = local_id.x * 4u; elem_idx < KV_TILE * HEAD_DIM_V; elem_idx += WG_SIZE * 4u) {
+          let v_row = elem_idx / HEAD_DIM_V;
+          let v_col = elem_idx % HEAD_DIM_V;
+          let global_v_row = kv_tile + v_row;
+          let global_v_row_offset = v_head_offset + global_v_row * params.stride_v1;
+          let in_bounds = global_v_row < params.seq_len_kv && (v_col + 3u) < HEAD_DIM_V;
+          let vec_idx = (global_v_row_offset + v_col) >> 2u;
+          let v4 = select(vec4<KV_TYPE>(0.0), V[vec_idx], in_bounds);
+          kv_shmem[elem_idx + 0u] = f16(v4.x);
+          kv_shmem[elem_idx + 1u] = f16(v4.y);
+          kv_shmem[elem_idx + 2u] = f16(v4.z);
+          kv_shmem[elem_idx + 3u] = f16(v4.w);
+      }
+#endif
+
+      workgroupBarrier();
+
+      if (!skip_tile) {
+          // we have P (Q_TILE x KV_TILE) in inter_shmem and V (KV_TILE x head_dim_v) in kv_shmem
+          // we want to compute O += P * V across the full KV tile
+          let ne_threads : u32 = VEC_NE;
+          let nl_threads = max(1u, subgroup_size / ne_threads);
+          let tx_pv = sg_inv_id % nl_threads;
+          let ty_pv = sg_inv_id / nl_threads;
+          for (var q_tile_row = subgroup_id;
+               q_tile_row < Q_TILE;
+               q_tile_row += num_subgroups) {
+              for (var vec_col = tx_pv; vec_col < (HEAD_DIM_V / 4u); vec_col += nl_threads) {
+                  var lo = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                  for (var cc = 0u; cc < KV_TILE / ne_threads; cc += 1u) {
+                      let kv_idx = cc * ne_threads + ty_pv;
+                      let v_row = kv_tile + kv_idx;
+                      if (v_row >= params.seq_len_kv) {
+                          continue;
+                      }
+
+                      let p = f32(inter_shmem[kv_idx + q_tile_row * KV_TILE]);
+#ifdef KV_DIRECT
+                      let v_idx = v_head_offset + v_row * params.stride_v1 + vec_col * 4u;
+                      let v4 = vec4<f32>(V[v_idx >> 2u]);
+#else
+                      let v_idx = kv_idx * HEAD_DIM_V + vec_col * 4u;
+                      let v4 = vec4<f32>(
+                          f32(kv_shmem[v_idx + 0u]),
+                          f32(kv_shmem[v_idx + 1u]),
+                          f32(kv_shmem[v_idx + 2u]),
+                          f32(kv_shmem[v_idx + 3u]));
+#endif
+                      lo += p * v4;
+                  }
+
+                  var lo_x = lo.x;
+                  var lo_y = lo.y;
+                  var lo_z = lo.z;
+                  var lo_w = lo.w;
+                  // Reduce over ty threads (NE) for this tx thread.
+                  var ty_delta = ne_threads >> 1u;
+                  loop {
+                      if (ty_delta == 0u) {
+                          break;
+                      }
+                      let thread_delta = ty_delta * nl_threads;
+                      let shx = subgroupShuffleDown(lo_x, thread_delta);
+                      let shy = subgroupShuffleDown(lo_y, thread_delta);
+                      let shz = subgroupShuffleDown(lo_z, thread_delta);
+                      let shw = subgroupShuffleDown(lo_w, thread_delta);
+                      if (ty_pv < ty_delta) {
+                          lo_x += shx;
+                          lo_y += shy;
+                          lo_z += shz;
+                          lo_w += shw;
+                      }
+                      ty_delta >>= 1u;
+                  }
+
+                  if (ty_pv == 0u) {
+                      let elem_base = vec_col * 4u;
+                      let o_base_idx = q_tile_row * HEAD_DIM_V + elem_base;
+                      o_shmem[o_base_idx + 0u] = f16(f32(o_shmem[o_base_idx + 0u]) + lo_x);
+                      o_shmem[o_base_idx + 1u] = f16(f32(o_shmem[o_base_idx + 1u]) + lo_y);
+                      o_shmem[o_base_idx + 2u] = f16(f32(o_shmem[o_base_idx + 2u]) + lo_z);
+                      o_shmem[o_base_idx + 3u] = f16(f32(o_shmem[o_base_idx + 3u]) + lo_w);
+                  }
+              }
+          }
+      }
+
+        workgroupBarrier();
+    }
+
+
+#ifdef SINKS
+    // Sinks are global terms and must be applied exactly once across split workgroups.
+    if (iwg == 0u) {
+        for (var q_tile_row = subgroup_id;
+             q_tile_row < Q_TILE;
+             q_tile_row += num_subgroups) {
+                let global_q_row = q_row_start + q_tile_row;
+                if (global_q_row >= params.seq_len_q) {
+                    break;
+                }
+
+                var prev_max = row_max_shmem[q_tile_row];
+
+                // for non-sink threads, exp(FLOAT_MIN) effectively zeroes out their contribution to the sum
+                let sink_val = select(FLOAT_MIN, sinks[params.offset_sinks + head_idx], sg_inv_id == 0);
+                let new_max = subgroupMax(max(prev_max, sink_val));
+                let max_exp = exp(prev_max - new_max);
+                let sink_exp = exp(sink_val - new_max);
+
+                let sink_exp_sum = subgroupAdd(sink_exp);
+
+                if (sg_inv_id == 0) {
+                    row_max_shmem[q_tile_row] = new_max;
+                    exp_sum_shmem[q_tile_row] = exp_sum_shmem[q_tile_row] * max_exp + sink_exp_sum;
+                }
+
+            for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
+                let idx = q_tile_row * HEAD_DIM_V + elem_idx;
+                o_shmem[idx] = f16(f32(o_shmem[idx]) * max_exp);
+            }
+        }
+        workgroupBarrier();
+    }
+#endif
+    let rows_per_batch = params.n_heads * params.seq_len_q;
+    for (var q_tile_row = subgroup_id;
+         q_tile_row < Q_TILE;
+         q_tile_row += num_subgroups) {
+
+        let global_q_row = q_row_start + q_tile_row;
+        if (global_q_row >= params.seq_len_q) { break; }
+
+        if (params.nwg == 1u) {
+            let exp_sum = exp_sum_shmem[q_tile_row];
+            let scale = select(0.0, 1.0 / exp_sum, exp_sum != 0.0);
+            let row_base: u32 =
+                params.offset_dst + batch_idx * dst3_stride + global_q_row * dst2_stride + head_idx * HEAD_DIM_V;
+
+            for (var elem_base = sg_inv_id * 4u; elem_base < HEAD_DIM_V; elem_base += subgroup_size * 4u) {
+                let i0 = q_tile_row * HEAD_DIM_V + (elem_base + 0u);
+                let i1 = q_tile_row * HEAD_DIM_V + (elem_base + 1u);
+                let i2 = q_tile_row * HEAD_DIM_V + (elem_base + 2u);
+                let i3 = q_tile_row * HEAD_DIM_V + (elem_base + 3u);
+
+                let v = vec4<f32>(
+                    f32(o_shmem[i0]) * scale,
+                    f32(o_shmem[i1]) * scale,
+                    f32(o_shmem[i2]) * scale,
+                    f32(o_shmem[i3]) * scale
+                );
+
+                let dst_vec_index: u32 = (row_base + elem_base) >> 2u;
+                dst[dst_vec_index] = v;
+            }
+        } else {
+            let rid = batch_idx * rows_per_batch + head_idx * params.seq_len_q + global_q_row;
+            let tmp_row_data_base = params.tmp_data_base + rid * (HEAD_DIM_V * params.nwg) + iwg * HEAD_DIM_V;
+            let tmp_row_stats_base = params.tmp_stats_base + rid * (2u * params.nwg) + 2u * iwg;
+
+            for (var elem_base = sg_inv_id * 4u;
+                elem_base < HEAD_DIM_V;
+                elem_base += subgroup_size * 4u) {
+
+                let i0 = q_tile_row * HEAD_DIM_V + (elem_base + 0u);
+                let i1 = q_tile_row * HEAD_DIM_V + (elem_base + 1u);
+                let i2 = q_tile_row * HEAD_DIM_V + (elem_base + 2u);
+                let i3 = q_tile_row * HEAD_DIM_V + (elem_base + 3u);
+
+                let tbase = tmp_row_data_base + elem_base;
+                tmp[tbase + 0u] = f32(o_shmem[i0]);
+                tmp[tbase + 1u] = f32(o_shmem[i1]);
+                tmp[tbase + 2u] = f32(o_shmem[i2]);
+                tmp[tbase + 3u] = f32(o_shmem[i3]);
+            }
+
+            if (sg_inv_id == 0u) {
+                tmp[tmp_row_stats_base + 0u] = exp_sum_shmem[q_tile_row];
+                tmp[tmp_row_stats_base + 1u] = row_max_shmem[q_tile_row];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/gated_delta_net.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/gated_delta_net.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..f9d98fda40b76918e304b92ea8e2de14a238aa92
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/gated_delta_net.wgsl
@@ -0,0 +1,132 @@
+@group(0) @binding(0)
+var<storage, read_write> src_q: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> src_k: array<f32>;
+
+@group(0) @binding(2)
+var<storage, read_write> src_v: array<f32>;
+
+@group(0) @binding(3)
+var<storage, read_write> src_g: array<f32>;
+
+@group(0) @binding(4)
+var<storage, read_write> src_beta: array<f32>;
+
+@group(0) @binding(5)
+var<storage, read_write> src_state: array<f32>;
+
+@group(0) @binding(6)
+var<storage, read_write> dst: array<f32>;
+
+struct Params {
+    h: u32,
+    n_tokens: u32,
+    n_seqs: u32,
+    s_off: u32,
+
+    sq1: u32,
+    sq2: u32,
+    sq3: u32,
+
+    sv1: u32,
+    sv2: u32,
+    sv3: u32,
+
+    sb1: u32,
+    sb2: u32,
+    sb3: u32,
+
+    neq1: u32,
+    rq3: u32,
+    scale: f32,
+};
+
+@group(0) @binding(7)
+var<uniform> params: Params;
+
+var<workgroup> sh_k: array<f32, S_V>;
+var<workgroup> sh_q: array<f32, S_V>;
+var<workgroup> sh_g: array<f32, S_V>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(workgroup_id) workgroup_id: vec3<u32>,
+    @builtin(local_invocation_id) local_id: vec3<u32>
+) {
+    let head_id = workgroup_id.x;
+    let seq_id = workgroup_id.y;
+    let col = local_id.x;
+
+    let iq1 = head_id % params.neq1;
+    let iq3 = seq_id / params.rq3;
+
+    let state_size = S_V * S_V;
+    let state_base = (seq_id * params.h + head_id) * state_size;
+
+    var state: array<f32, S_V>;
+    for (var i = 0u; i < S_V; i++) {
+        state[i] = src_state[state_base + col * S_V + i];
+    }
+
+    var attn_off = (seq_id * params.n_tokens * params.h + head_id) * S_V;
+
+    for (var t = 0u; t < params.n_tokens; t++) {
+        let q_off = iq3 * params.sq3 + t * params.sq2 + iq1 * params.sq1;
+        let k_off = q_off;
+        let v_off = seq_id * params.sv3 + t * params.sv2 + head_id * params.sv1;
+        let gb_off = seq_id * params.sb3 + t * params.sb2 + head_id * params.sb1;
+
+        sh_q[col] = src_q[q_off + col];
+        sh_k[col] = src_k[k_off + col];
+
+#ifdef KDA
+        let g_base = gb_off * S_V;
+        sh_g[col] = exp(src_g[g_base + col]);
+#endif
+
+        workgroupBarrier();
+
+        let v_val = src_v[v_off + col];
+        let beta_val = src_beta[gb_off];
+
+        var kv_col = 0.0;
+        var delta_col = 0.0;
+        var attn_col = 0.0;
+
+#ifdef KDA
+        for (var i = 0u; i < S_V; i++) {
+            kv_col += (sh_g[i] * state[i]) * sh_k[i];
+        }
+
+        delta_col = (v_val - kv_col) * beta_val;
+
+        for (var i = 0u; i < S_V; i++) {
+            state[i] = sh_g[i] * state[i] + sh_k[i] * delta_col;
+            attn_col += state[i] * sh_q[i];
+        }
+#else
+        let g_val = exp(src_g[gb_off]);
+
+        for (var i = 0u; i < S_V; i++) {
+            kv_col += state[i] * sh_k[i];
+        }
+
+        delta_col = (v_val - g_val * kv_col) * beta_val;
+
+        for (var i = 0u; i < S_V; i++) {
+            state[i] = g_val * state[i] + sh_k[i] * delta_col;
+            attn_col += state[i] * sh_q[i];
+        }
+#endif
+
+        dst[attn_off + col] = attn_col * params.scale;
+        attn_off += S_V * params.h;
+
+        workgroupBarrier();
+    }
+
+    for (var i = 0u; i < S_V; i++) {
+        dst[params.s_off + state_base + col * S_V + i] = state[i];
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
index b10800e36d2a9ad7b07b7eefd13c47c7960f7f44..1415798fa6b57c299f7f07697c0309e0f7c73bf8 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
@@ -1,6 +1,8 @@
 enable f16;
+#define DECLARE_BYTE_LOADERS_SRC
 #include "common_decls.tmpl"
 
+
 #ifdef F32_VEC
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     dst[(dst_base / 4) + offset] = src[(src_base / 4) + offset];
@@ -27,17 +29,18 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q4_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block_q4_0 = src[src_base + offset];
-    let d = f32(block_q4_0.d);
-    for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q4_0.qs[2 * j], block_q4_0.qs[2 * j + 1]));
+    let block_byte_base = (src_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    for (var j: u32 = 0u; j < 4; j++) {
+        let q_byte_offset = block_byte_base + 2 + j * 4;
+        let q_packed = load_u32_at_src(q_byte_offset);
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
-            let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0f) * d;
-            let q_lo = (f32(q_byte & 0xF) - 8.0f) * d;
+            let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * d;
+            let q_lo = (f32(q_byte & 0xFu) - 8.0) * d;
             let dst_offset = dst_base + offset * 32 + j * 4 + k;
             dst[dst_offset] = q_lo;
-            dst[dst_offset + 16] = q_hi;
+            dst[dst_offset + 16u] = q_hi;
         }
     }
 }
@@ -64,17 +67,22 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q5_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block_q5_0 = src[src_base + offset];
-    let d = f32(block_q5_0.d);
-    let qh_packed = bitcast<u32>(vec2(block_q5_0.qh[0], block_q5_0.qh[1]));
+    let block_byte_base = (src_base + offset) * 22; // Block stride: 22 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    let qh_packed = load_u32_at_src(block_byte_base + 2);
     for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q5_0.qs[2 * j], block_q5_0.qs[2 * j + 1]));
+        let q_byte_offset = block_byte_base + 6 + j * 4;
+        let q_packed = load_u32_at_src(q_byte_offset);
+
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
+
             let qh_hi = (qh_packed >> (j * 4 + k + 12)) & 0x10;
             let q_hi = (f32(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d;
+
             let qh_lo = ((qh_packed >> (j * 4 + k)) << 4) & 0x10;
             let q_lo = (f32((q_byte & 0xF) | qh_lo) - 16.0) * d;
+
             let dst_offset = dst_base + offset * 32 + j * 4 + k;
             dst[dst_offset] = q_lo;
             dst[dst_offset + 16] = q_hi;
@@ -106,14 +114,15 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q8_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block_q8_0 = src[src_base + offset];
-    let d = f32(block_q8_0.d);
-    for (var j: u32 = 0; j < 8; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q8_0.qs[2 * j], block_q8_0.qs[2 * j + 1]));
-        for (var k: u32 = 0; k < 4; k++) {
+    let block_byte_base = (src_base + offset) * 34; // Block stride: 34 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    for (var j: u32 = 0u; j < 8u; j++) {
+        let q_byte_offset = block_byte_base + 2u + j * 4u;
+        let q_packed = load_u32_at_src(q_byte_offset);
+        for (var k: u32 = 0u; k < 4u; k++) {
             let q_byte = get_byte_i32(q_packed, k);
             let q_val = f32(q_byte) * d;
-            let dst_offset = dst_base + offset * 32 + j * 4 + k;
+            let dst_offset = dst_base + offset * 32u + j * 4u + k;
             dst[dst_offset] = q_val;
         }
     }
@@ -152,36 +161,42 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q3_K
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 110; // Block stride: 110 bytes
+
+    // Bytes 108-109: f16 scale 'd'
+    let d = load_f16_as_f32_at_src(block_byte_base + 108);
 
-    // extract 6-bit scales, which consist of 4-bits from first 8 bytes of scale,
-    // and 2-bits from the last 4 bytes
+    // Bytes 96-107: 12 bytes of scales (3 u32s)
     let kmask1: u32 = 0x03030303;
     let kmask2: u32 = 0x0f0f0f0f;
+
     var scale_vals: array<u32, 4>;
-    for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
-    }
+    scale_vals[0] = load_u32_at_src(block_byte_base + 96);
+    scale_vals[1] = load_u32_at_src(block_byte_base + 100);
+    scale_vals[2] = load_u32_at_src(block_byte_base + 104);
+
     var tmp: u32 = scale_vals[2];
     scale_vals[2] = ((scale_vals[0] >> 4) & kmask2) | (((tmp >> 4) & kmask1) << 4);
     scale_vals[3] = ((scale_vals[1] >> 4) & kmask2) | (((tmp >> 6) & kmask1) << 4);
     scale_vals[0] = (scale_vals[0] & kmask2) | ((tmp & kmask1) << 4);
     scale_vals[1] = (scale_vals[1] & kmask2) | (((tmp >> 2) & kmask1) << 4);
 
-    // convert arrays of f16 -> u32
+    // Bytes 0-31: 32 bytes of hmask (8 u32s)
     var hmask_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        hmask_vals[i] = bitcast<u32>(vec2(block.hmask[2 * i], block.hmask[2 * i + 1]));
+        hmask_vals[i] = load_u32_at_src(block_byte_base + i * 4);
     }
+
+    // Bytes 32-95: 64 bytes of qs (16 u32s)
     var qs_vals: array<u32, 16>;
-    for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[2 * i], block.qs[2 * i + 1]));
+    for (var i: u32 = 0u; i < 16; i++) {
+        qs_vals[i] = load_u32_at_src(block_byte_base + 32 + i * 4);
     }
 
     var dst_i = dst_base + offset * 256;
     var is: u32 = 0;
     var m: u32 = 1;
+
     // 2 halves of the block (128 elements each)
     for (var q_b_idx: u32 = 0; q_b_idx < 64; q_b_idx += 32) {
         // 4 groups (each group has 2 blocks of 16 elements)
@@ -191,11 +206,13 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
                 let sc = get_byte(scale_vals[is / 4], is % 4);
                 is++;
                 let dl = d * (f32(sc) - 32.0);
-                for (var l: u32 = 0u; l < 16u; l++) {
+
+                for (var l: u32 = 0; l < 16; l++) {
                     let q_idx = q_b_idx + k + l;
                     let hm_idx = k + l;
                     let q_byte = get_byte(qs_vals[q_idx / 4], q_idx % 4);
                     let hmask_byte = get_byte(hmask_vals[hm_idx / 4], hm_idx % 4);
+
                     let hm = select(4.0, 0.0, (hmask_byte & m) != 0);
                     let qs_val = (q_byte >> shift) & 3;
                     dst[dst_i] = (f32(qs_val) - hm) * dl;
@@ -268,21 +285,27 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 #ifdef Q6_K
 // 16 blocks of 16 elements each
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 210; // Block stride: 210 bytes
 
-    // convert arrays of f16 -> u32
+    // Bytes 208-209: f16 scale 'd'
+    let d = load_f16_as_f32_at_src(block_byte_base + 208);
+
+    // Bytes 0-127: 128 bytes of ql (32 u32s)
     var ql_vals: array<u32, 32>;
     for (var i: u32 = 0; i < 32; i++) {
-        ql_vals[i] = bitcast<u32>(vec2(block.ql[2 * i], block.ql[2 * i + 1]));
+        ql_vals[i] = load_u32_at_src(block_byte_base + i * 4);
     }
+
+    // Bytes 128-191: 64 bytes of qh (16 u32s)
     var qh_vals: array<u32, 16>;
-    for (var i: u32 = 0; i < 16; i++) {
-        qh_vals[i] = bitcast<u32>(vec2(block.qh[2 * i], block.qh[2 * i + 1]));
+    for (var i: u32 = 0; i < 16u; i++) {
+        qh_vals[i] = load_u32_at_src(block_byte_base + 128 + i * 4u);
     }
+
+    // Bytes 192-207: 16 bytes of scales (4 u32s)
     var scale_vals: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
+        scale_vals[i] = load_u32_at_src(block_byte_base + 192 + i * 4);
     }
 
     var dst_i = dst_base + offset * 256;
@@ -323,12 +346,14 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ2_XXS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 66; // Block stride: 66 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 32; ib += 4) {
-        let aux0 = bitcast<u32>(vec2(block.qs[ib], block.qs[ib + 1]));
-        let aux1 = bitcast<u32>(vec2(block.qs[ib + 2], block.qs[ib + 3]));
+        let aux0_offset = block_byte_base + 2 + ib * 2;
+        let aux1_offset = block_byte_base + 2 + (ib + 2) * 2;
+        let aux0 = load_u32_at_src(aux0_offset);
+        let aux1 = load_u32_at_src(aux1_offset);
         let db = d * (0.5 + f32(aux1 >> 28)) * 0.25;
         for (var l: u32 = 0; l < 4; l++) {
             let ig = get_byte(aux0, l) * 8;
@@ -345,15 +370,19 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 }
 #endif
 
+
+
 #ifdef IQ2_XS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 74; // Block stride: 74 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
+
     var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
+        load_u32_at_src(block_byte_base + 66),
+        load_u32_at_src(block_byte_base + 70)
     );
+
     for (var ib: u32 = 0; ib < 32; ib += 4) {
         let s = get_byte(scale_vals[ib / 16], (ib % 16) / 4);
         let db = array<f32, 2>(
@@ -361,7 +390,8 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
             d * (0.5 + f32(s >> 4)) * 0.25
         );
         for (var l: u32 = 0; l < 4; l++) {
-            let qs_val = bitcast<u32>(vec2(block.qs[ib + l], 0.0));
+            let qs_offset = block_byte_base + 2 + (ib + l) * 2;
+            let qs_val = load_u32_at_src(qs_offset) & 0xFFFF;
             let ig = (qs_val & 511) * 8;
             let is = qs_val >> 9;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
@@ -379,21 +409,23 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ2_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 82; // Block stride: 82 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
+
     var qs_vals : array<u32, 16>;
     for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs_vals[i] = load_u32_at_src(block_byte_base + 2 + i * 4);
     }
-    var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
-    );
-    var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
-    );
+
+    var qh_vals: array<u32, 2>;
+    qh_vals[0] = load_u32_at_src(block_byte_base + 66);
+    qh_vals[1] = load_u32_at_src(block_byte_base + 70);
+
+    var scale_vals: array<u32, 2>;
+    scale_vals[0] = load_u32_at_src(block_byte_base + 74);
+    scale_vals[1] = load_u32_at_src(block_byte_base + 78);
+
     for (var ib: u32 = 0; ib < 8; ib ++) {
         let s = get_byte(scale_vals[ib / 4], ib % 4);
         let db = array<f32, 2>(
@@ -419,16 +451,17 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ3_XXS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 98; // Block stride: 98 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 16; ib += 2) {
-        let sc_sign = bitcast<u32>(vec2(block.qs[ib + 32], block.qs[ib + 33]));
+        let sc_sign_offset = block_byte_base + 2 + (ib + 32) * 2;
+        let sc_sign = load_u32_at_src(sc_sign_offset);
         let db = d * (0.5 + f32(sc_sign >> 28)) * 0.5;
         for (var l: u32 = 0; l < 4; l++) {
             let is = (sc_sign >> (7 * l)) & 127;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
-            let ig_val = bitcast<u32>(vec2(block.qs[ib * 2 + l], 0.0));
+            let ig_val = load_u32_at_src(block_byte_base + 2 + (ib * 2 + l) * 2) & 0xFFFF;
             let ig1 = get_byte(ig_val, 0);
             let ig2 = get_byte(ig_val, 1);
             for (var j: u32 = 0; j < 4; j++) {
@@ -448,18 +481,22 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ3_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 110; // Block stride: 110 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
+
     var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
+        load_u32_at_src(block_byte_base + 66),
+        load_u32_at_src(block_byte_base + 70)
     );
+
     var sign_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        sign_vals[i] = bitcast<u32>(vec2(block.signs[i * 2], block.signs[i * 2 + 1]));
+        sign_vals[i] = load_u32_at_src(block_byte_base + 74 + i * 4);
     }
-    var scale_vals = bitcast<u32>(vec2(block.scales[0], block.scales[1]));
+
+    var scale_vals = load_u32_at_src(block_byte_base + 106);
+
     for (var ib: u32 = 0; ib < 4; ib++) {
         let s = get_byte(scale_vals, ib);
         let db = array<f32, 2>(
@@ -472,7 +509,7 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
             let sign_w = sign_vals[ib * 2 + k];
             for (var l: u32 = 0; l < 4; l++) {
                 let signs = get_byte(sign_w, l);
-                let ig_val = bitcast<u32>(vec2(block.qs[ib * 8 + k * 4 + l], 0.0));
+                let ig_val = load_u32_at_src(block_byte_base + 2 + (ib * 8 + k * 4 + l) * 2) & 0xFFFF;
                 let ig1 = get_byte(ig_val, 0) | ((qh_byte << ((8 - (2 * l)))) & 256);
                 let ig2 = get_byte(ig_val, 1) | ((qh_byte << ((7 - (2 * l)))) & 256);
                 for (var j: u32 = 0; j < 4; j++) {
@@ -493,14 +530,14 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ1_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 50; // Block stride: 50 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 8; ib++) {
-        let qh = bitcast<u32>(vec2(block.qh[ib], 0.0));
-        let dl = d * (2 * f32((qh >> 12) & 7) + 1);
+        let qh = load_u32_at_src(block_byte_base + 34 + ib * 2) & 0xFFFF;
+        let dl = d * (2.0 * f32((qh >> 12) & 7) + 1.0);
         let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000) != 0);
-        let qs_w = bitcast<u32>(vec2(block.qs[ib * 2], block.qs[ib * 2 + 1]));
+        let qs_w = load_u32_at_src(block_byte_base + 2 + ib * 4);
         for (var l: u32 = 0; l < 4; l++) {
             let ig = (get_byte(qs_w, l) | (((qh >> (3 * l)) & 7) << 8)) * 8;
             for (var j: u32 = 0; j < 8; j++) {
@@ -560,12 +597,12 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ4_NL
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 32;
     var qs: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        qs[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs[i] = load_u32_at_src(block_byte_base + 2 + i * 4);
     }
     for (var j: u32 = 0; j < 16; j++) {
         let qsb = get_byte(qs[j / 4], j % 4);
@@ -579,8 +616,8 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 #ifdef IQ4_XS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
-    let d = f32(block.d);
-    let scales_h = bitcast<u32>(vec2(block.scales_h, 0.0));
+    let d = unpack2x16float(block.d_scales_h)[0];
+    let scales_h = block.d_scales_h >> 16;
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 8; ib++) {
         let ls = ((get_byte(block.scales_l, ib / 2) >> (4 * (ib % 2))) & 0xF) | (((scales_h >> (2 * ib)) & 3) << 4);
@@ -640,6 +677,35 @@ var<uniform> params: Params;
 
 @compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
+#ifdef FLOAT_PARALLEL
+    let blocks_per_row = params.ne0 / BLOCK_SIZE;
+    let row_count = params.n_rows * params.ne2 * params.ne3;
+
+    if (gid.x >= blocks_per_row * row_count) {
+        return;
+    }
+
+    let block_idx = gid.x % blocks_per_row;
+    var row_idx = gid.x / blocks_per_row;
+    let i_dst3 = row_idx / (params.ne2 * params.n_rows);
+
+    row_idx = row_idx % (params.ne2 * params.n_rows);
+    let i_dst2 = row_idx / params.n_rows;
+    let i_dst1 = row_idx % params.n_rows;
+
+    let i_idx2 = i_dst3 % params.idx2;
+    let i_idx1 = i_dst2 % params.idx1;
+    let i_idx0 = i_dst1;
+
+    let i_idx = params.offset_idx + i_idx0 * params.stride_idx0 + i_idx1 * params.stride_idx1 + i_idx2 * params.stride_idx2;
+
+    let idx_val = u32(idx[i_idx]);
+
+    let i_src_row = params.offset_src + idx_val * params.stride_src1 + i_dst2 * params.stride_src2 + i_dst3 * params.stride_src3;
+    let i_dst_row = params.offset_dst + i_dst1 * params.stride_dst1 + i_dst2 * params.stride_dst2 + i_dst3 * params.stride_dst3;
+
+    copy_elements(i_src_row, i_dst_row, block_idx);
+#else
     if (gid.x >= params.n_rows * params.ne2 * params.ne3) {
         return;
     }
@@ -664,5 +730,5 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     for (var i: u32 = 0; i < params.ne0/BLOCK_SIZE; i++) {
       copy_elements(i_src_row, i_dst_row, i);
     }
+#endif
 }
-
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/glu.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/glu.tmpl.wgsl
deleted file mode 100644
index 03fcd54868933afe5fbab5ea87fd10ec41c20042..0000000000000000000000000000000000000000
--- a/ggml/src/ggml-webgpu/wgsl-shaders/glu.tmpl.wgsl
+++ /dev/null
@@ -1,323 +0,0 @@
-#define(VARIANTS)
-
-[
-  {
-    "SHADER_NAME": "reglu_f32",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_SPLIT", "REGLU"]
-  },
-  {
-    "SHADER_NAME": "reglu_f32_split",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["SPLIT", "REGLU"]
-  },
-  {
-    "SHADER_NAME": "reglu_f16",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_SPLIT", "REGLU"]
-  },
-  {
-    "SHADER_NAME": "reglu_f16_split",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["SPLIT", "REGLU"]
-  },
-  {
-    "SHADER_NAME": "geglu_f32",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_SPLIT", "GEGLU"]
-  },
-  {
-    "SHADER_NAME": "geglu_f32_split",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["SPLIT", "GEGLU"]
-  },
-  {
-    "SHADER_NAME": "geglu_f16",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_SPLIT", "GEGLU"]
-  },
-  {
-    "SHADER_NAME": "geglu_f16_split",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["SPLIT", "GEGLU"]
-  },
-  {
-    "SHADER_NAME": "swiglu_f32",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_SPLIT", "SWIGLU"]
-  },
-  {
-    "SHADER_NAME": "swiglu_f32_split",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["SPLIT", "SWIGLU"]
-  },
-  {
-    "SHADER_NAME": "swiglu_f16",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_SPLIT", "SWIGLU"]
-  },
-  {
-    "SHADER_NAME": "swiglu_f16_split",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["SPLIT", "SWIGLU"]
-  },
-  {
-    "SHADER_NAME": "swiglu_oai_f32",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_SPLIT", "SWIGLU_OAI"]
-  },
-  {
-    "SHADER_NAME": "swiglu_oai_f32_split",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["SPLIT", "SWIGLU_OAI"]
-  },
-  {
-    "SHADER_NAME": "geglu_erf_f32",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_SPLIT", "GEGLU_ERF"]
-  },
-  {
-    "SHADER_NAME": "geglu_erf_f32_split",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["SPLIT", "GEGLU_ERF"]
-  },
-  {
-    "SHADER_NAME": "geglu_erf_f16",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_SPLIT", "GEGLU_ERF"]
-  },
-  {
-    "SHADER_NAME": "geglu_erf_f16_split",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["SPLIT", "GEGLU_ERF"]
-  },
-  {
-    "SHADER_NAME": "geglu_quick_f32",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_SPLIT", "GEGLU_QUICK"]
-  },
-  {
-    "SHADER_NAME": "geglu_quick_f32_split",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["SPLIT", "GEGLU_QUICK"]
-  },
-  {
-    "SHADER_NAME": "geglu_quick_f16",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_SPLIT", "GEGLU_QUICK"]
-  },
-  {
-    "SHADER_NAME": "geglu_quick_f16_split",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["SPLIT", "GEGLU_QUICK"]
-  },
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(REGLU)
-fn op(a: {{TYPE}}, b: {{TYPE}}) -> {{TYPE}} {
-    return max(a, 0) * b;
-}
-#enddecl(REGLU)
-
-#decl(GEGLU)
-const SQRT_2_OVER_PI: {{TYPE}} = 0.79788456080286535587989211986876;
-const GELU_COEF_A: {{TYPE}} = 0.044715;
-
-fn op(a: {{TYPE}}, b: {{TYPE}}) -> {{TYPE}} {
-    let val = SQRT_2_OVER_PI * a * (1.0 + GELU_COEF_A * a * a);
-    return 0.5 * a * (2.0 - 2.0 / (exp(2 * val) + 1)) * b;
-}
-#enddecl(GEGLU)
-
-#decl(SWIGLU)
-fn op(a: {{TYPE}}, b: {{TYPE}}) -> {{TYPE}} {
-    return a / (1.0 + exp(-a)) * b;
-}
-#enddecl(SWIGLU)
-
-#decl(SWIGLU_OAI)
-fn op(a: f32, b: f32) -> f32 {
-  let xi = min(a, params.limit);
-  let gi = max(min(b, params.limit), -params.limit);
-  var out_glu = xi / (1.0 + exp(-xi * params.alpha));
-  out_glu = out_glu * (1.0 + gi);
-  return out_glu;
-}
-#enddecl(SWIGLU_OAI)
-
-#decl(GEGLU_ERF)
-const p_erf: {{TYPE}} = 0.3275911;
-const a1_erf: {{TYPE}} = 0.254829592;
-const a2_erf: {{TYPE}} = -0.284496736;
-const a3_erf: {{TYPE}} = 1.421413741;
-const a4_erf: {{TYPE}} = -1.453152027;
-const a5_erf: {{TYPE}} = 1.061405429;
-const SQRT_2_INV: {{TYPE}} = 0.7071067811865476;
-
-fn op(a: {{TYPE}}, b: {{TYPE}}) -> {{TYPE}} {
-  let a_div_sqr2 = a * SQRT_2_INV;
-  let sign_x = sign(a_div_sqr2);
-  let x = abs(a_div_sqr2);
-  let t = 1.0 / (1.0 + p_erf * x);
-  let y = 1.0 - (((((a5_erf * t + a4_erf) * t + a3_erf) * t + a2_erf) * t + a1_erf) * t * exp(-x * x));
-  let erf_approx = sign_x * y;
-  return 0.5 * a * (1.0 + erf_approx) * b;
-}
-#enddecl(GEGLU_ERF)
-
-#decl(GEGLU_QUICK)
-const GELU_QUICK_COEF: {{TYPE}} = -1.702;
-
-fn op(a: {{TYPE}}, b: {{TYPE}}) -> {{TYPE}} {
-    return a * (1.0 / (1.0 + exp(GELU_QUICK_COEF * a))) * b;
-}
-#enddecl(GEGLU_QUICK)
-
-#decl(NO_SPLIT)
-@group(0) @binding(1)
-var<storage, read_write> dst: array<{{TYPE}}>;
-
-@group(0) @binding(2)
-var<uniform> params: Params;
-
-fn a_value(base: u32) -> {{TYPE}} {
-    let offset: u32 = select(0, params.ne0, params.swapped != 0);
-    return src0[base + offset];
-}
-
-fn b_value(base: u32) -> {{TYPE}} {
-    let offset: u32 = select(params.ne0, 0, params.swapped != 0);
-    return src0[base + offset];
-}
-#enddecl(NO_SPLIT)
-
-#decl(SPLIT)
-@group(0) @binding(1)
-var<storage, read_write> src1: array<{{TYPE}}>;
-
-@group(0) @binding(2)
-var<storage, read_write> dst: array<{{TYPE}}>;
-
-@group(0) @binding(3)
-var<uniform> params: Params;
-
-fn a_value(base: u32) -> {{TYPE}} {
-    return src0[base];
-}
-
-fn b_value(base: u32) -> {{TYPE}} {
-    return src1[base];
-}
-#enddecl(SPLIT)
-
-#end(DECLS)
-
-#define(SHADER)
-
-enable f16;
-
-struct Params {
-    offset_src0: u32,
-    offset_src1: u32,
-    offset_dst: u32,
-
-    // Strides (in elements)
-    stride_src01: u32,
-    stride_src02: u32,
-    stride_src03: u32,
-
-    stride_src11: u32,
-    stride_src12: u32,
-    stride_src13: u32,
-
-    stride_dst1: u32,
-    stride_dst2: u32,
-    stride_dst3: u32,
-
-    // shape of dst
-    ne: u32,
-    ne0: u32,
-    ne1: u32,
-    ne2: u32,
-
-    swapped: u32,
-    alpha: f32,
-    limit: f32,
-}
-
-@group(0) @binding(0)
-var<storage, read_write> src0: array<{{TYPE}}>;
-
-DECLS
-
-override wg_size: u32;
-@compute @workgroup_size(wg_size)
-fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
-    if (gid.x >= params.ne) {
-        return;
-    }
-
-    var i = gid.x;
-    let i3 = i / (params.ne2 * params.ne1 * params.ne0);
-    i = i % (params.ne2 * params.ne1 * params.ne0);
-    let i2 = i / (params.ne1 * params.ne0);
-    i = i % (params.ne1 * params.ne0);
-    let i1 = i / params.ne0;
-    let i0 = i % params.ne0;
-
-    let i_a = params.offset_src0 + i3 * params.stride_src03 + i2 * params.stride_src02 + i1 * params.stride_src01 + i0;
-    let i_b = params.offset_src1 + i3 * params.stride_src13 + i2 * params.stride_src12 + i1 * params.stride_src11 + i0;
-    let i_dst = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1 + i0;
-
-    dst[i_dst] = op(a_value(i_a), b_value(i_b));
-}
-
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/glu.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/glu.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..e6d7608cec5de0b1d746095e45baaa8bfa1c6247
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/glu.wgsl
@@ -0,0 +1,155 @@
+enable f16;
+
+#ifdef TYPE_F32
+#define DataType f32
+#endif
+#ifdef TYPE_F16
+#define DataType f16
+#endif
+
+#ifdef OP_REGLU
+fn op(a: DataType, b: DataType) -> DataType {
+    return max(a, 0) * b;
+}
+#endif
+
+#ifdef OP_GEGLU
+const SQRT_2_OVER_PI: DataType =  0.79788456080286535587989211986876;
+const GELU_COEF_A: DataType = 0.044715;
+
+fn op(a: DataType, b: DataType) -> DataType {
+    let val = SQRT_2_OVER_PI * a * (1.0 + GELU_COEF_A * a * a);
+    return 0.5 * a * (2.0 - 2.0/ (exp(2* val) + 1)) * b;
+}
+#endif
+
+#ifdef OP_SWIGLU
+fn op(a: DataType, b: DataType) -> DataType {
+    return a / (1.0 + exp(-a)) * b;
+}
+#endif
+#ifdef OP_SWIGLU_OAI
+fn op(a: f32, b: f32) -> f32 {
+    let xi = min(a, params.limit);
+    let gi = max(min(b, params.limit), -params.limit);
+    var out_glu = xi / (1.0 + exp(-xi * params.alpha));
+    out_glu = out_glu * (1.0 + gi);
+    return out_glu;
+}
+#endif
+#ifdef OP_GEGLU_ERF
+const p_erf: DataType = 0.3275911;
+const a1_erf: DataType = 0.254829592;
+const a2_erf: DataType = -0.284496736;
+const a3_erf: DataType = 1.421413741;
+const a4_erf: DataType = -1.453152027;
+const a5_erf: DataType = 1.061405429;
+const SQRT_2_INV: DataType = 0.7071067811865476;
+
+fn op(a: DataType, b: DataType) -> DataType {
+    let a_div_sqr2 = a * SQRT_2_INV;
+    let sign_x = sign(a_div_sqr2);
+    let x = abs(a_div_sqr2);
+    let t = 1.0 / (1.0 + p_erf * x);
+    let y = 1.0 - (((((a5_erf * t + a4_erf) * t + a3_erf) * t + a2_erf) * t + a1_erf) * t * exp(-x * x));
+    let erf_approx = sign_x * y;
+    return 0.5 * a * (1.0 + erf_approx) * b;
+}
+#endif
+#ifdef OP_GEGLU_QUICK
+const GELU_QUICK_COEF: DataType = -1.702;
+
+fn op(a: DataType, b: DataType) -> DataType {
+    return a * (1.0 / (1.0 + exp(GELU_QUICK_COEF * a))) * b;
+}
+#endif
+
+struct Params {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+
+    // Strides (in elements)
+    stride_src01: u32,
+    stride_src02: u32,
+    stride_src03: u32,
+
+    stride_src11: u32,
+    stride_src12: u32,
+    stride_src13: u32,
+
+    stride_dst1: u32,
+    stride_dst2: u32,
+    stride_dst3: u32,
+
+    // shape of dst
+    ne: u32,
+    ne0: u32,
+    ne1: u32,
+    ne2: u32,
+
+    swapped: u32,
+    alpha: f32,
+    limit: f32,
+}
+
+@group(0) @binding(0)
+var<storage, read_write> src0: array<DataType>;
+
+#ifdef NO_SPLIT
+@group(0) @binding(1)
+var<storage, read_write> dst: array<DataType>;
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+fn a_value(base: u32) -> DataType {
+    let offset: u32 = select(0, params.ne0, params.swapped != 0);
+    return src0[base + offset];
+}
+
+fn b_value(base: u32) -> DataType {
+    let offset: u32 = select(params.ne0, 0, params.swapped != 0);
+    return src0[base + offset];
+}
+
+#else
+@group(0) @binding(1)
+var<storage, read_write> src1: array<DataType>;
+
+@group(0) @binding(2)
+var<storage, read_write> dst: array<DataType>;
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+fn a_value(base: u32) -> DataType {
+    return src0[base];
+}
+
+fn b_value(base: u32) -> DataType {
+    return src1[base];
+}
+
+#endif
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
+    if (gid.x >= params.ne) {
+        return;
+    }
+
+    var i = gid.x;
+    let i3 = i / (params.ne2 * params.ne1 * params.ne0);
+    i = i % (params.ne2 * params.ne1 * params.ne0);
+    let i2 = i / (params.ne1 * params.ne0);
+    i = i % (params.ne1 * params.ne0);
+    let i1 = i / params.ne0;
+    let i0 = i % params.ne0;
+
+    let i_a = params.offset_src0 + i3 * params.stride_src03 + i2 * params.stride_src02 + i1 * params.stride_src01 + i0;
+    let i_b = params.offset_src1 + i3 * params.stride_src13 + i2 * params.stride_src12 + i1 * params.stride_src11 + i0;
+    let i_dst = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1 + i0;
+
+    dst[i_dst] = op(a_value(i_a), b_value(i_b));
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
index 5b9f5b362249706ba54bf640d221d9ba61207f06..fcbefdeb8021bbe3c9f5f3422660f6c170e17340 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
@@ -1,7 +1,9 @@
 enable f16;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
 
+
 #ifdef FLOAT
 const BLOCK_SIZE = 1u;
 
@@ -20,11 +22,12 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef Q4_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block_q4_0 = src0[src0_idx_base + offset];
-    let d = f32(block_q4_0.d);
+    let block_byte_base = (src0_idx_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var sum: f32 = 0.0;
     for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q4_0.qs[2 * j], block_q4_0.qs[2 * j + 1]));
+        let q_byte_offset = block_byte_base + 2 + j * 4;
+        let q_packed = load_u32_at_src0(q_byte_offset);
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
             let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0f) * d;
@@ -61,12 +64,13 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef Q5_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block_q5_0 = src0[src0_idx_base + offset];
-    let d = f32(block_q5_0.d);
+    let block_byte_base = (src0_idx_base + offset) * 22; // Block stride: 22 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var sum: f32 = 0.0;
-    let qh_packed = bitcast<u32>(vec2(block_q5_0.qh[0], block_q5_0.qh[1]));
+    let qh_packed = load_u32_at_src0(block_byte_base + 2);
     for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q5_0.qs[2 * j], block_q5_0.qs[2 * j + 1]));
+        let q_byte_offset = block_byte_base + 6 + j * 4;
+        let q_packed = load_u32_at_src0(q_byte_offset);
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
             let qh_hi = (qh_packed >> (j * 4 + k + 12)) & 0x10;
@@ -107,12 +111,13 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef Q8_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block_q8_0 = src0[src0_idx_base + offset];
-    let d = f32(block_q8_0.d);
+    let block_byte_base = (src0_idx_base + offset) * 34; // Block stride: 34 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var sum: f32 = 0.0;
     for (var j: u32 = 0; j < 8; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q8_0.qs[2 * j], block_q8_0.qs[2 * j + 1]));
-        for (var k: u32 = 0; k < 4; k++) {
+        let q_byte_offset = block_byte_base + 2 + j * 4;
+        let q_packed = load_u32_at_src0(q_byte_offset);
+        for (var k: u32 = 0u; k < 4u; k++) {
             let q_byte = get_byte_i32(q_packed, k);
             let q_val = f32(q_byte) * d;
             let src1_offset = src1_idx_base + offset * 32 + j * 4 + k;
@@ -178,31 +183,37 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 #ifdef Q3_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 110; // Block stride: 110 bytes
+
+    // Bytes 108-109: f16 scale 'd'
+    let d = load_f16_as_f32_at_src0(block_byte_base + 108);
 
     // extract 6-bit scales, which consist of 4-bits from first 8 bytes of scale,
     // and 2-bits from the last 4 bytes
+    // Bytes 96-107: 12 bytes of scales (3 u32s)
     let kmask1: u32 = 0x03030303;
     let kmask2: u32 = 0x0f0f0f0f;
     var scale_vals: array<u32, 4>;
-    for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
-    }
+    scale_vals[0] = load_u32_at_src0(block_byte_base + 96);
+    scale_vals[1] = load_u32_at_src0(block_byte_base + 100);
+    scale_vals[2] = load_u32_at_src0(block_byte_base + 104);
+
     var tmp: u32 = scale_vals[2];
     scale_vals[2] = ((scale_vals[0] >> 4) & kmask2) | (((tmp >> 4) & kmask1) << 4);
     scale_vals[3] = ((scale_vals[1] >> 4) & kmask2) | (((tmp >> 6) & kmask1) << 4);
     scale_vals[0] = (scale_vals[0] & kmask2) | ((tmp & kmask1) << 4);
     scale_vals[1] = (scale_vals[1] & kmask2) | (((tmp >> 2) & kmask1) << 4);
 
-    // convert arrays of f16 -> u32
+    // Bytes 0-31: 32 bytes of hmask (8 u32s)
     var hmask_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        hmask_vals[i] = bitcast<u32>(vec2(block.hmask[2 * i], block.hmask[2 * i + 1]));
+        hmask_vals[i] = load_u32_at_src0(block_byte_base + i * 4);
     }
+
+    // Bytes 32-95: 64 bytes of qs (16 u32s)
     var qs_vals: array<u32, 16>;
-    for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[2 * i], block.qs[2 * i + 1]));
+    for (var i: u32 = 0u; i < 16; i++) {
+        qs_vals[i] = load_u32_at_src0(block_byte_base + 32 + i * 4);
     }
 
     var sum = 0.0;
@@ -301,21 +312,27 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 #ifdef Q6_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 210; // Block stride: 210 bytes
+
+    // Bytes 208-209: f16 scale 'd'
+    let d = load_f16_as_f32_at_src0(block_byte_base + 208);
 
-    // convert arrays of f16 -> u32
+    // Bytes 0-127: 128 bytes of ql (32 u32s)
     var ql_vals: array<u32, 32>;
     for (var i: u32 = 0; i < 32; i++) {
-        ql_vals[i] = bitcast<u32>(vec2(block.ql[2 * i], block.ql[2 * i + 1]));
+        ql_vals[i] = load_u32_at_src0(block_byte_base + i * 4);
     }
+
+    // Bytes 128-191: 64 bytes of qh (16 u32s)
     var qh_vals: array<u32, 16>;
     for (var i: u32 = 0; i < 16; i++) {
-        qh_vals[i] = bitcast<u32>(vec2(block.qh[2 * i], block.qh[2 * i + 1]));
+        qh_vals[i] = load_u32_at_src0(block_byte_base + 128 + i * 4);
     }
+
+    // Bytes 192-207: 16 bytes of scales (4 u32s)
     var scale_vals: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
+        scale_vals[i] = load_u32_at_src0(block_byte_base + 192 + i * 4);
     }
 
     var sum = 0.0;
@@ -358,13 +375,15 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ2_XXS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 66; // Block stride: 66 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 32; ib += 4) {
-        let aux0 = bitcast<u32>(vec2(block.qs[ib], block.qs[ib + 1]));
-        let aux1 = bitcast<u32>(vec2(block.qs[ib + 2], block.qs[ib + 3]));
+        let aux0_offset = block_byte_base + 2 + ib * 2;
+        let aux1_offset = block_byte_base + 2 + (ib + 2) * 2;
+        let aux0 = load_u32_at_src0(aux0_offset);
+        let aux1 = load_u32_at_src0(aux1_offset);
         let db = d * (0.5 + f32(aux1 >> 28)) * 0.25;
         for (var l: u32 = 0; l < 4; l++) {
             let ig = get_byte(aux0, l) * 8;
@@ -384,13 +403,15 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ2_XS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 74; // Block stride: 74 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
+
     var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
+        load_u32_at_src0(block_byte_base + 66),
+        load_u32_at_src0(block_byte_base + 70)
     );
+
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 32; ib += 4) {
         let s = get_byte(scale_vals[ib / 16], (ib % 16) / 4);
@@ -399,7 +420,8 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
             d * (0.5 + f32(s >> 4)) * 0.25
         );
         for (var l: u32 = 0; l < 4; l++) {
-            let qs_val = bitcast<u32>(vec2(block.qs[ib + l], 0.0));
+            let qs_offset = block_byte_base + 2 + (ib + l) * 2;
+            let qs_val = load_u32_at_src0(qs_offset) & 0xFFFF;
             let ig = (qs_val & 511) * 8;
             let is = qs_val >> 9;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
@@ -418,21 +440,23 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ2_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 82; // Block stride: 82 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
+
     var qs_vals : array<u32, 16>;
     for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs_vals[i] = load_u32_at_src0(block_byte_base + 2 + i * 4);
     }
-    var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
-    );
-    var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
-    );
+
+    var qh_vals: array<u32, 2>;
+    qh_vals[0] = load_u32_at_src0(block_byte_base + 66);
+    qh_vals[1] = load_u32_at_src0(block_byte_base + 70);
+
+    var scale_vals: array<u32, 2>;
+    scale_vals[0] = load_u32_at_src0(block_byte_base + 74);
+    scale_vals[1] = load_u32_at_src0(block_byte_base + 78);
+
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 8; ib ++) {
         let s = get_byte(scale_vals[ib / 4], ib % 4);
@@ -460,17 +484,18 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ3_XXS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 98; // Block stride: 98 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 16; ib += 2) {
-        let sc_sign = bitcast<u32>(vec2(block.qs[ib + 32], block.qs[ib + 33]));
+        let sc_sign_offset = block_byte_base + 2 + (ib + 32) * 2;
+        let sc_sign = load_u32_at_src0(sc_sign_offset);
         let db = d * (0.5 + f32(sc_sign >> 28)) * 0.5;
         for (var l: u32 = 0; l < 4; l++) {
             let is = (sc_sign >> (7 * l)) & 127;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
-            let ig_val = bitcast<u32>(vec2(block.qs[ib * 2 + l], 0.0));
+            let ig_val = load_u32_at_src0(block_byte_base + 2 + (ib * 2 + l) * 2) & 0xFFFF;
             let ig1 = get_byte(ig_val, 0);
             let ig2 = get_byte(ig_val, 1);
             for (var j: u32 = 0; j < 4; j++) {
@@ -491,18 +516,22 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ3_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 110; // Block stride: 110 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
+
     var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
+        load_u32_at_src0(block_byte_base + 66),
+        load_u32_at_src0(block_byte_base + 70)
     );
+
     var sign_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        sign_vals[i] = bitcast<u32>(vec2(block.signs[i * 2], block.signs[i * 2 + 1]));
+        sign_vals[i] = load_u32_at_src0(block_byte_base + 74 + i * 4);
     }
-    var scale_vals = bitcast<u32>(vec2(block.scales[0], block.scales[1]));
+
+    var scale_vals = load_u32_at_src0(block_byte_base + 106);
+
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 4; ib++) {
         let s = get_byte(scale_vals, ib);
@@ -516,7 +545,7 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
             let sign_w = sign_vals[ib * 2 + k];
             for (var l: u32 = 0; l < 4; l++) {
                 let signs = get_byte(sign_w, l);
-                let ig_val = bitcast<u32>(vec2(block.qs[ib * 8 + k * 4 + l], 0.0));
+                let ig_val = load_u32_at_src0(block_byte_base + 2 + (ib * 8 + k * 4 + l) * 2) & 0xFFFF;
                 let ig1 = get_byte(ig_val, 0) | ((qh_byte << ((8 - (2 * l)))) & 256);
                 let ig2 = get_byte(ig_val, 1) | ((qh_byte << ((7 - (2 * l)))) & 256);
                 for (var j: u32 = 0; j < 4; j++) {
@@ -538,15 +567,15 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ1_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 50; // Block stride: 50 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 8; ib++) {
-        let qh = bitcast<u32>(vec2(block.qh[ib], 0.0));
-        let dl = d * (2 * f32((qh >> 12) & 7) + 1);
+        let qh = load_u32_at_src0(block_byte_base + 34 + ib * 2) & 0xFFFF;
+        let dl = d * (2.0 * f32((qh >> 12) & 7) + 1.0);
         let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000) != 0);
-        let qs_w = bitcast<u32>(vec2(block.qs[ib * 2], block.qs[ib * 2 + 1]));
+        let qs_w = load_u32_at_src0(block_byte_base + 2 + ib * 4);
         for (var l: u32 = 0; l < 4; l++) {
             let ig = (get_byte(qs_w, l) | (((qh >> (3 * l)) & 7) << 8)) * 8;
             for (var j: u32 = 0; j < 8; j++) {
@@ -610,13 +639,13 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ4_NL
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 32;
     var sum = 0.0;
     var qs: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        qs[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs[i] = load_u32_at_src0(block_byte_base + 2 + i * 4);
     }
     for (var j: u32 = 0; j < 16; j++) {
         let qsb = get_byte(qs[j / 4], j % 4);
@@ -631,8 +660,8 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 #ifdef IQ4_XS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
-    let scales_h = bitcast<u32>(vec2(block.scales_h, 0.0));
+    let d = unpack2x16float(block.d_scales_h)[0];
+    let scales_h = block.d_scales_h >> 16;
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 8; ib++) {
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
index de60ebbcf2b5712330df77532b1af2767844b6a0..5a3238182604c78a78942e289707af7461220ff7 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
@@ -42,6 +42,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 }
 #endif // INIT_SRC0_SHMEM_FLOAT
 
+#ifndef MUL_MAT_ID
 #ifdef INIT_SRC1_SHMEM_FLOAT
 fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u32) {
     for (var elem_idx = thread_id * VEC_SIZE; elem_idx < TILE_SRC1_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
@@ -58,13 +59,14 @@ fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u3
     }
 }
 #endif // INIT_SRC1_SHMEM_FLOAT
+#endif
 
 #ifdef INIT_SRC0_SHMEM_Q4_0
 const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 18u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 override BLOCKS_K = TILE_K/BLOCK_SIZE;
 const NQ = 16u;
-const F16_PER_BLOCK = 9u; // 1 scale + 8x4 packed weights
 const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
 const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
 
@@ -81,14 +83,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
-            let scale_idx = src0_idx * F16_PER_BLOCK;
-            let d = src0[scale_idx];
+            let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+            let d = load_f16_at_src0(block_byte_base);
 
             for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-                let q_0 = src0[scale_idx + 1u + block_offset + j];
-                let q_1 = src0[scale_idx + 1u + block_offset + j + 1];
-
-                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte(q_packed, k);
                     let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
@@ -104,10 +104,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q4_1
 const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 20u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 override BLOCKS_K = TILE_K/BLOCK_SIZE;
 const NQ = 16u;
-const F16_PER_BLOCK = 10u; // 1 scale + 8 packed weights + 1 mean
 const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
 const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
 
@@ -124,15 +124,13 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
-            let scale_idx = src0_idx * F16_PER_BLOCK;
-            let d = src0[scale_idx];
-            let m = src0[scale_idx + 1u];
+            let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+            let d = load_f16_at_src0(block_byte_base);
+            let m = load_f16_at_src0(block_byte_base + 2u);
 
             for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-                let q_0 = src0[scale_idx + 2u + block_offset + j];
-                let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
-
-                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte(q_packed, k);
                     let q_lo = f16(q_byte & 0xF) * d + m;
@@ -149,11 +147,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 #ifdef INIT_SRC0_SHMEM_Q5_0
 // 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block
 const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 22u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 // tile_k is defined as 32u, so blocks_k ends up being 1 always
 override BLOCKS_K = TILE_K / BLOCK_SIZE;
 const NQ = 16u;
-const F16_PER_BLOCK = 11u; // 1 scale + 2 qh + 8 packed weights
 const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
 const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights
 
@@ -171,18 +169,14 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx  = batch_offset + global_m * params.stride_01 + global_k;
-            let scale_idx = src0_idx * F16_PER_BLOCK;
+            let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-            let d  = src0[scale_idx];
-            let qh0 = src0[scale_idx + 1u];
-            let qh1 = src0[scale_idx + 2u];
-            let qh_packed = bitcast<u32>(vec2(qh0, qh1));
+            let d  = load_f16_at_src0(block_byte_base);
+            let qh_packed = load_u32_at_src0(block_byte_base + 2u);
 
             for (var j = 0u; j < 2; j++) {
-                let q_0 = src0[scale_idx + 3u + block_offset + (j*2)];
-                let q_1 = src0[scale_idx + 3u + block_offset + (j*2) + 1u];
-
-                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                let q_byte_offset = block_byte_base + 6u + 2u * (block_offset + j * 2u);
+                let q_packed = load_u32_at_src0(q_byte_offset);
 
                 let j_adjusted = j + (block_offset / 2u);
 
@@ -207,11 +201,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 #ifdef INIT_SRC0_SHMEM_Q5_1
 // 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block
 const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 24u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 // tile_k is defined as 32u, so blocks_k ends up being 1 always
 override BLOCKS_K = TILE_K / BLOCK_SIZE;
 const NQ = 16u;
-const F16_PER_BLOCK = 12u; // 1 scale + 2 qh + 8 packed weights + 1 mean
 const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
 const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights
 
@@ -229,20 +223,16 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx  = batch_offset + global_m * params.stride_01 + global_k;
-            let scale_idx = src0_idx * F16_PER_BLOCK;
+            let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-            let d  = src0[scale_idx];
-            let m = src0[scale_idx + 1u];
-            let qh0 = src0[scale_idx + 2u];
-            let qh1 = src0[scale_idx + 3u];
-            let qh_packed = bitcast<u32>(vec2(qh0, qh1));
+            let d  = load_f16_at_src0(block_byte_base);
+            let m = load_f16_at_src0(block_byte_base + 2u);
+            let qh_packed = load_u32_at_src0(block_byte_base + 4u);
 
             for (var j = 0u; j < 2; j++) {
 
-                let q_0 = src0[scale_idx + 4u + block_offset + (j*2)];
-                let q_1 = src0[scale_idx + 4u + block_offset + (j*2) + 1u];
-
-                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                let q_byte_offset = block_byte_base + 8u + 2u * (block_offset + j * 2u);
+                let q_packed = load_u32_at_src0(q_byte_offset);
 
                 let j_adjusted = j + (block_offset / 2u);
 
@@ -266,10 +256,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q8_0
 const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 34u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 override BLOCKS_K = TILE_K/BLOCK_SIZE;
 const NQ = 16u;
-const F16_PER_BLOCK = 17u; // 1 scale + 16 in array of weights
 const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16
 const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread
 
@@ -286,14 +276,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
-            let scale_idx = src0_idx * F16_PER_BLOCK;
-            let d = src0[scale_idx];
+            let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+            let d = load_f16_at_src0(block_byte_base);
 
             for (var j = 0u; j < F16_PER_THREAD; j+=2) {
-                let q_0 = src0[scale_idx + 1u + block_offset + j];
-                let q_1 = src0[scale_idx + 1u + block_offset + j + 1];
-
-                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte_i32(q_packed, k);
 
@@ -308,10 +296,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q8_1
 const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 36u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 override BLOCKS_K = TILE_K/BLOCK_SIZE;
 const NQ = 16u;
-const F16_PER_BLOCK = 18u; // 1 scale + 1 mean + 8 32-bit values in array of weights
 const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16
 const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread, 2 threads per block
 
@@ -328,15 +316,13 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
-            let scale_idx = src0_idx * F16_PER_BLOCK;
-            let d = src0[scale_idx];
-            let m = src0[scale_idx + 1u];
+            let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+            let d = load_f16_at_src0(block_byte_base);
+            let m = load_f16_at_src0(block_byte_base + 2u);
 
             for (var j = 0u; j < F16_PER_THREAD; j+=2) {
-                let q_0 = src0[scale_idx + 2u + block_offset + j];
-                let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
-
-                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte_i32(q_packed, k);
 
@@ -351,7 +337,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q2_K
 const BLOCK_SIZE = 256u;
-const F16_PER_BLOCK = 42u;
+const BLOCK_SIZE_BYTES = 84u;
 
 fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
     // Use standard thread layout instead of lane/row_group
@@ -371,10 +357,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let k_in_block = global_k % BLOCK_SIZE;
 
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
-        let scale_idx = src0_idx * F16_PER_BLOCK;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = src0[scale_idx + 40u];
-        let dmin = src0[scale_idx + 41u];
+        let d = load_f16_at_src0(block_byte_base + 80u);
+        let dmin = load_f16_at_src0(block_byte_base + 82u);
 
         // Decode the element at position k_in_block
         let block_of_32 = k_in_block / 32u;
@@ -387,18 +373,14 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         let is = k_in_block / 16u;
 
-        let sc_0 = src0[scale_idx + 2u * (is / 4u)];
-        let sc_1 = src0[scale_idx + 2u * (is / 4u) + 1u];
-        let sc_packed = bitcast<u32>(vec2(sc_0, sc_1));
+        let sc_packed = load_u32_at_src0(block_byte_base + 4u * (is / 4u));
         let sc = get_byte(sc_packed, is % 4u);
 
         let dl = d * f16(sc & 0xFu);
         let ml = dmin * f16(sc >> 4u);
 
         let q_idx = q_b_idx + k + l;
-        let q_0 = src0[scale_idx + 8u + 2u * (q_idx / 4u)];
-        let q_1 = src0[scale_idx + 8u + 2u * (q_idx / 4u) + 1u];
-        let q_packed = bitcast<u32>(vec2(q_0, q_1));
+        let q_packed = load_u32_at_src0(block_byte_base + 16u + 4u * (q_idx / 4u));
         let q_byte = get_byte(q_packed, q_idx % 4u);
         let qs_val = (q_byte >> shift) & 3u;
 
@@ -410,7 +392,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q3_K
 const BLOCK_SIZE = 256u;
-const F16_PER_BLOCK = 55u;
+const BLOCK_SIZE_BYTES = 110u;
 
 fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
     for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
@@ -429,9 +411,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let k_in_block = global_k % BLOCK_SIZE;
 
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
-        let scale_idx = src0_idx * F16_PER_BLOCK;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = src0[scale_idx + 54u];
+        let d = load_f16_at_src0(block_byte_base + 108u);
 
         // Load and unpack scales
         let kmask1: u32 = 0x03030303u;
@@ -439,9 +421,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         var scale_vals: array<u32, 4>;
         for (var i: u32 = 0u; i < 4u; i++) {
-            let scale_0 = src0[scale_idx + 48u + (2u*i)];
-            let scale_1 = src0[scale_idx + 48u + (2u*i) + 1u];
-            scale_vals[i] = bitcast<u32>(vec2(scale_0, scale_1));
+            scale_vals[i] = load_u32_at_src0(block_byte_base + 96u + 4u * i);
         }
 
         var tmp: u32 = scale_vals[2];
@@ -453,16 +433,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         // Load hmask and qs arrays
         var hmask_vals: array<u32, 8>;
         for (var i: u32 = 0u; i < 8u; i++) {
-            let hmask_0 = src0[scale_idx + (2u*i)];
-            let hmask_1 = src0[scale_idx + (2u*i) + 1u];
-            hmask_vals[i] = bitcast<u32>(vec2(hmask_0, hmask_1));
+            hmask_vals[i] = load_u32_at_src0(block_byte_base + 4u * i);
         }
 
         var qs_vals: array<u32, 16>;
         for (var i: u32 = 0u; i < 16u; i++) {
-            let qs_0 = src0[scale_idx + 16u + (2u*i)];
-            let qs_1 = src0[scale_idx + 16u + (2u*i) + 1u];
-            qs_vals[i] = bitcast<u32>(vec2(qs_0, qs_1));
+            qs_vals[i] = load_u32_at_src0(block_byte_base + 32u + 4u * i);
         }
 
         let half = k_in_block / 128u;           // 0 or 1
@@ -502,7 +478,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q4_K
 const BLOCK_SIZE = 256u;
-const F16_PER_BLOCK = 72u;
+const BLOCK_SIZE_BYTES = 144u;
 
 fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
     for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
@@ -521,18 +497,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let k_in_block = global_k % BLOCK_SIZE;
 
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
-        let scale_idx = src0_idx * F16_PER_BLOCK;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = src0[scale_idx];
-        let dmin = src0[scale_idx + 1u];
-
-        // Load packed scales
-        var scale_vals: array<u32, 3>;
-        for (var i: u32 = 0u; i < 3u; i++) {
-            let scale_0 = src0[scale_idx + 2u + (2u*i)];
-            let scale_1 = src0[scale_idx + 2u + (2u*i) + 1u];
-            scale_vals[i] = bitcast<u32>(vec2(scale_0, scale_1));
-        }
+        let d = load_f16_at_src0(block_byte_base);
+        let dmin = load_f16_at_src0(block_byte_base + 2u);
 
         // Map k_in_block to loop structure:
         // Outer loop over 64-element groups (alternating q_b_idx)
@@ -549,15 +517,17 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         var sc: u32;
         var mn: u32;
 
+        let scale_base = block_byte_base + 4u;
+
         if (is < 4u) {
-            let sc_byte = get_byte(scale_vals[is / 4u], is % 4u);
-            let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u);
+            let sc_byte = get_byte(load_u32_at_src0(scale_base), is % 4u);
+            let min_byte = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
             sc = sc_byte & 63u;
             mn = min_byte & 63u;
         } else {
-            let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u);
-            let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u);
-            let min_hi = get_byte(scale_vals[is / 4u], is % 4u);
+            let sc_min_lo = get_byte(load_u32_at_src0(scale_base + 8), (is + 4u) % 4u);
+            let sc_hi = get_byte(load_u32_at_src0(scale_base), (is - 4u) % 4u);
+            let min_hi = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
 
             sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u);
             mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u);
@@ -567,9 +537,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let ml = dmin * f16(mn);
 
         let q_idx = q_b_idx + l;
-        let q_0 = src0[scale_idx + 8u + 2u * (q_idx / 4u)];
-        let q_1 = src0[scale_idx + 8u + 2u * (q_idx / 4u) + 1u];
-        let q_packed = bitcast<u32>(vec2(q_0, q_1));
+        let q_packed = load_u32_at_src0(block_byte_base + 16u + 4u * (q_idx / 4u));
 
         let q_byte = get_byte(q_packed, q_idx % 4u);
         let qs_val = (q_byte >> shift) & 0xFu;
@@ -582,7 +550,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q5_K
 const BLOCK_SIZE = 256u;
-const F16_PER_BLOCK = 88u;
+const BLOCK_SIZE_BYTES = 176u;
 
 fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
     for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
@@ -601,18 +569,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let k_in_block = global_k % BLOCK_SIZE;
 
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
-        let scale_idx = src0_idx * F16_PER_BLOCK;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = src0[scale_idx];
-        let dmin = src0[scale_idx + 1u];
+        let d = load_f16_at_src0(block_byte_base);
+        let dmin = load_f16_at_src0(block_byte_base + 2u);
 
-        // Load packed scales
-        var scale_vals: array<u32, 3>;
-        for (var i: u32 = 0u; i < 3u; i++) {
-            let scale_0 = src0[scale_idx + 2u + (2u*i)];
-            let scale_1 = src0[scale_idx + 2u + (2u*i) + 1u];
-            scale_vals[i] = bitcast<u32>(vec2(scale_0, scale_1));
-        }
 
         // The original loop processes elements in groups of 64
         // Each group of 64: q_b_idx cycles through [0,32,64,96], shift cycles [0,4]
@@ -633,15 +594,17 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         var sc: u32;
         var mn: u32;
 
+        let scale_base = block_byte_base + 4u;
+
         if (is < 4u) {
-            let sc_byte = get_byte(scale_vals[is / 4u], is % 4u);
-            let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u);
+            let sc_byte = get_byte(load_u32_at_src0(scale_base), is % 4u);
+            let min_byte = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
             sc = sc_byte & 63u;
             mn = min_byte & 63u;
         } else {
-            let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u);
-            let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u);
-            let min_hi = get_byte(scale_vals[is / 4u], is % 4u);
+            let sc_min_lo = get_byte(load_u32_at_src0(scale_base + 8), (is + 4u) % 4u);
+            let sc_hi = get_byte(load_u32_at_src0(scale_base), (is - 4u) % 4u);
+            let min_hi = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
 
             sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u);
             mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u);
@@ -651,15 +614,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let ml = dmin * f16(mn);
 
         let q_idx = q_b_idx + l;
-        let q_0 = src0[scale_idx + 24u + 2u * (q_idx / 4u)];
-        let q_1 = src0[scale_idx + 24u + 2u * (q_idx / 4u) + 1u];
-        let q_packed = bitcast<u32>(vec2(q_0, q_1));
+        let q_packed = load_u32_at_src0(block_byte_base + 48u + 4u * (q_idx / 4u));
 
         let q_byte = get_byte(q_packed, q_idx % 4u);
 
-        let qh_0 = src0[scale_idx + 8u + 2u * (l / 4u)];
-        let qh_1 = src0[scale_idx + 8u + 2u * (l / 4u) + 1u];
-        let qh_packed = bitcast<u32>(vec2(qh_0, qh_1));
+        let qh_packed = load_u32_at_src0(block_byte_base + 16u + 4u * (l / 4u));
 
         let qh_byte = get_byte(qh_packed, l % 4u);
 
@@ -675,7 +634,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
 #ifdef INIT_SRC0_SHMEM_Q6_K
 const BLOCK_SIZE = 256u;
-const F16_PER_BLOCK = 105u;
+const BLOCK_SIZE_BYTES = 210u;
 
 fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
     for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
@@ -694,7 +653,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let k_in_block = global_k % BLOCK_SIZE;
 
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
-        let scale_idx = src0_idx * F16_PER_BLOCK;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
         let half = k_in_block / 128u;
         let pos_in_half = k_in_block % 128u;
@@ -707,30 +666,18 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         // Load only ql13 word needed
         let ql13_flat = ql_b_idx + l;
-        let ql13_word = ql13_flat / 4u;
-        let ql13 = bitcast<u32>(vec2(
-            src0[scale_idx + 2u * ql13_word],
-            src0[scale_idx + 2u * ql13_word + 1u]
-        ));
-        let ql13_b = get_byte(ql13, ql13_flat % 4u);
+        let ql13 = load_u32_at_src0(block_byte_base + ql13_flat);
+        let ql13_b = get_byte(ql13, 0u);
 
         // Load only ql24 word needed
         let ql24_flat = ql_b_idx + l + 32u;
-        let ql24_word = ql24_flat / 4u;
-        let ql24 = bitcast<u32>(vec2(
-            src0[scale_idx + 2u * ql24_word],
-            src0[scale_idx + 2u * ql24_word + 1u]
-        ));
-        let ql24_b = get_byte(ql24, ql24_flat % 4u);
+        let ql24 = load_u32_at_src0(block_byte_base + ql24_flat);
+        let ql24_b = get_byte(ql24, 0u);
 
         // Load only qh word needed
         let qh_flat = qh_b_idx + l;
-        let qh_word = qh_flat / 4u;
-        let qh = bitcast<u32>(vec2(
-            src0[scale_idx + 64u + 2u * qh_word],
-            src0[scale_idx + 64u + 2u * qh_word + 1u]
-        ));
-        let qh_b = get_byte(qh, qh_flat % 4u);
+        let qh = load_u32_at_src0(block_byte_base + 128u + qh_flat);
+        let qh_b = get_byte(qh, 0u);
 
         let q1 = f16((ql13_b & 0xFu) | ((qh_b & 3u) << 4u)) - f16(32.0);
         let q2 = f16((ql24_b & 0xFu) | (((qh_b >> 2u) & 3u) << 4u)) - f16(32.0);
@@ -740,14 +687,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         // Load only the scale word needed
         let is = l / 16u;
         let sc_idx = sc_b_idx + is + quarter * 2u;
-        let sc_word = sc_idx / 4u;
-        let sc = bitcast<u32>(vec2(
-            src0[scale_idx + 96u + 2u * sc_word],
-            src0[scale_idx + 96u + 2u * sc_word + 1u]
-        ));
-        let sc_val = get_byte_i32(sc, sc_idx % 4u);
-
-        let d = src0[scale_idx + 104u];
+        let sc = load_u32_at_src0(block_byte_base + 192u + sc_idx);
+        let sc_val = get_byte_i32(sc, 0u);
+
+        let d = load_f16_at_src0(block_byte_base + 208u);
 
         var q_val: f16;
         if (quarter == 0u) {
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..91039ff2546fd772875b4aea0576cdfc9b430fda
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id.wgsl
@@ -0,0 +1,195 @@
+enable f16;
+
+#define DECLARE_BYTE_LOADERS_SRC0
+#include "common_decls.tmpl"
+
+#include "mul_mat_decls.tmpl"
+
+#ifdef VEC
+fn store_val(acc: array<array<f16, TILE_M>, TILE_N>, tn: u32, tm: u32) -> vec4<f32> {
+    return vec4<f32>(f32(acc[tn][tm]), f32(acc[tn][tm + 1]), f32(acc[tn][tm + 2]), f32(acc[tn][tm + 3]));
+}
+#endif
+
+#ifdef SCALAR
+fn store_val(acc: array<array<f16, TILE_M>, TILE_N>, tn: u32, tm: u32) -> f32 {
+    return f32(acc[tn][tm]);
+}
+#endif
+
+struct MulMatIdParams {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+
+    k: u32,
+    m: u32,
+    n_expert: u32,
+    n_expert_used: u32,
+    n_tokens: u32,
+    b_ne1: u32,
+
+    stride_01: u32,
+    stride_11: u32,
+    stride_02: u32,
+    stride_12: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // [cols, rows, n_expert]
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // [cols, b_ne1, n_tokens]
+@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>;   // [rows, n_expert_used, n_tokens]
+@group(0) @binding(3) var<storage, read_write> global_gathered_expert_used: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(4) var<storage, read_write> global_gathered_tokens: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(5) var<storage, read_write> gathered_count_ids: array<u32>; // [n_expert]
+
+@group(0) @binding(6) var<uniform> params: MulMatIdParams;
+
+fn get_local_n(thread_id: u32) -> u32 {
+    return thread_id / WORKGROUP_SIZE_M;
+}
+fn get_local_m(thread_id: u32) -> u32 {
+    return thread_id % WORKGROUP_SIZE_M;
+}
+
+const TOTAL_WORKGROUP_SIZE = WORKGROUP_SIZE_M * WORKGROUP_SIZE_N;
+const TILE_SRC0_SHMEM = TILE_K * WORKGROUP_SIZE_M * TILE_M;
+const TILE_SRC1_SHMEM = TILE_K * WORKGROUP_SIZE_N * TILE_N;
+
+var<workgroup> shmem: array<f16, TILE_SRC0_SHMEM + TILE_SRC1_SHMEM>;
+var<workgroup> gathered_expert_used: array<u32, TILE_N * WORKGROUP_SIZE_N>;
+var<workgroup> gathered_tokens: array<u32, TILE_N * WORKGROUP_SIZE_N>;
+
+#ifdef INIT_SRC1_SHMEM_FLOAT
+fn init_shmem_id_src1(thread_id: u32, offset_src1: u32, rest_token_n: u32, k_outer: u32) {
+    for (var elem_idx = thread_id * VEC_SIZE; elem_idx < TILE_SRC1_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
+        let tile_n = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        if (tile_n < rest_token_n) {
+            let global_src10 = k_outer + tile_k;
+            let expert_used_idx = gathered_expert_used[tile_n] % params.b_ne1;
+            let token_idx = gathered_tokens[tile_n];
+            let src1_idx = offset_src1 + token_idx * params.stride_12 + expert_used_idx * params.stride_11 + global_src10;
+            let src1_val = select(
+                SRC1_TYPE(0.0),
+                src1[src1_idx/VEC_SIZE],
+                global_src10 < params.k);
+            store_shmem(SHMEM_TYPE(src1_val), TILE_SRC0_SHMEM + elem_idx);
+        } else {
+            store_shmem(SHMEM_TYPE(0.0), TILE_SRC0_SHMEM + elem_idx);
+        }
+    }
+}
+#endif // INIT_SRC1_SHMEM_FLOAT
+
+@compute @workgroup_size(TOTAL_WORKGROUP_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
+
+    let thread_id = local_id.x;
+    let local_m = get_local_m(thread_id);
+    let local_n = get_local_n(thread_id);
+
+    var expert_idx:u32 = 0xFFFFFFFFu;
+    var wg_in_batch:u32 = 0;
+    var wg_sum:u32 = 0;
+    let wg_m_count = (params.m + WORKGROUP_SIZE_M * TILE_M - 1u) / (WORKGROUP_SIZE_M * TILE_M);
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+
+    for (var i = 0u;i < params.n_expert;i += 1) {
+        let wg_n_count = (gathered_count_ids[i] + WORKGROUP_SIZE_N * TILE_N - 1u) / (WORKGROUP_SIZE_N * TILE_N);
+        let wg_per_matrix = wg_m_count * wg_n_count;
+        if (wg_sum <= wg_linear && wg_linear < wg_sum + wg_per_matrix) {
+            expert_idx = i;
+            wg_in_batch = wg_linear - wg_sum;
+            break;
+        }
+        wg_sum += wg_per_matrix;
+    }
+
+    let is_valid = expert_idx != 0xFFFFFFFFu;
+
+    var wg_m: u32 = 0;
+    var wg_n: u32 = 0;
+    var offset_wg_m: u32 = 0;
+    var offset_wg_n: u32 = 0;
+    var rest_token_n: u32 = 0;
+    var src0_batch_offset: u32 = 0;
+
+    wg_m = wg_in_batch % wg_m_count;
+    wg_n = wg_in_batch / wg_m_count;
+
+    offset_wg_m = wg_m * WORKGROUP_SIZE_M * TILE_M;
+    offset_wg_n = wg_n * WORKGROUP_SIZE_N * TILE_N;
+
+    if (is_valid) {
+        rest_token_n = gathered_count_ids[expert_idx] - offset_wg_n;
+        let global_gathered_base = expert_idx * params.n_tokens + offset_wg_n;
+        for (var i = thread_id; i < TILE_N * WORKGROUP_SIZE_N && offset_wg_n + i < gathered_count_ids[expert_idx]; i += TOTAL_WORKGROUP_SIZE) {
+            gathered_expert_used[i] = global_gathered_expert_used[global_gathered_base + i];
+            gathered_tokens[i] = global_gathered_tokens[global_gathered_base + i];
+        }
+        src0_batch_offset = params.offset_src0 + expert_idx * params.stride_02;
+    }
+
+    workgroupBarrier();
+
+    let output_row_base = offset_wg_m + local_m * TILE_M;
+    let output_col_base = offset_wg_n + local_n * TILE_N;
+
+    let dst2_stride = params.m * params.n_expert_used;
+    let dst1_stride = params.m;
+
+    var acc: array<array<f16, TILE_M>, TILE_N>;
+
+    for (var k_outer = 0u; k_outer < params.k; k_outer += TILE_K) {
+
+        if (is_valid) {
+            init_shmem_src0(thread_id, src0_batch_offset, offset_wg_m, k_outer);
+            init_shmem_id_src1(thread_id, params.offset_src1, rest_token_n, k_outer);
+        }
+
+        workgroupBarrier();
+
+        if (is_valid) {
+            let k_end = min(TILE_K, params.k - k_outer);
+
+            for (var k_inner = 0u; k_inner < k_end; k_inner++) {
+                var src0_tile: array<f16, TILE_M>;
+                for (var tm = 0u; tm < TILE_M; tm++) {
+                    let src0_m = local_m * TILE_M + tm;
+                    let src0_idx = k_inner + src0_m * TILE_K;
+                    src0_tile[tm] = shmem[src0_idx];
+                }
+                for (var tn = 0u; tn < TILE_N; tn++) {
+                    let src1_n = local_n * TILE_N + tn;
+                    let src1_idx = src1_n * TILE_K + k_inner;
+                    let src1_val = shmem[TILE_SRC0_SHMEM + src1_idx];
+                    for (var tm = 0u; tm < TILE_M; tm++) {
+                        acc[tn][tm] += src0_tile[tm] * src1_val;
+                    }
+                }
+            }
+        }
+
+        workgroupBarrier();
+    }
+
+    if (is_valid) {
+        for (var tn = 0u; tn < TILE_N; tn++) {
+            let n_idx = output_col_base + tn;
+            if (n_idx < gathered_count_ids[expert_idx]) {
+                let dst1_idx = gathered_expert_used[n_idx - offset_wg_n];
+                let dst2_idx = gathered_tokens[n_idx - offset_wg_n];
+                let dst12_offset = params.offset_dst + dst2_idx * dst2_stride + dst1_idx * dst1_stride;
+                for (var tm = 0u; tm < TILE_M; tm += VEC_SIZE) {
+                    let global_row = output_row_base + tm;
+                    if (global_row < params.m) {
+                        let dst_idx = dst12_offset + global_row;
+                        dst[dst_idx/VEC_SIZE] = store_val(acc, tn, tm);
+                    }
+                }
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_gather.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_gather.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..d79d5f3f2822f0b2d480260277cdc0b8ff264581
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_gather.wgsl
@@ -0,0 +1,55 @@
+enable f16;
+
+struct MulMatIdGatherParams {
+    offset_ids: u32,
+
+    n_expert: u32,
+    n_expert_used: u32,
+    n_tokens: u32,
+
+    stride_ids_1: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> ids: array<i32>;        // [n_expert_used, n_tokens]
+@group(0) @binding(1) var<storage, read_write> global_gathered_expert_used: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(2) var<storage, read_write> global_gathered_tokens: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(3) var<storage, read_write> gathered_count_ids: array<u32>; // [n_expert]
+
+@group(0) @binding(4) var<uniform> params: MulMatIdGatherParams;
+
+var<workgroup> count:atomic<u32>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
+
+    let thread_id = local_id.x;
+    let own_expert = wg_id.y * num_wg.x + wg_id.x; // the expert assigned to this workgroup
+
+    if (own_expert < params.n_expert) {
+        if (thread_id == 0u) {
+            atomicStore(&count, 0);
+        }
+
+        workgroupBarrier();
+
+        for (var i = thread_id;i < params.n_expert_used * params.n_tokens;i += WG_SIZE) {
+            let row = i / params.n_expert_used;
+            let col = i % params.n_expert_used;
+            let expert = u32(ids[params.offset_ids + row * params.stride_ids_1 + col]);
+            if (own_expert == expert) {
+                let pos = atomicAdd(&count, 1u);
+                let gathered_id = own_expert * params.n_tokens + pos;
+                global_gathered_expert_used[gathered_id] = col;
+                global_gathered_tokens[gathered_id] = row;
+            }
+        }
+
+        workgroupBarrier();
+
+        if (thread_id == 0u) {
+            gathered_count_ids[own_expert] = atomicLoad(&count);
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
index b1da421a69158890690169f0833a1aedb267f447..98bbdeb83ba7fb217aa95205de7adfccf9907be8 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
@@ -1,17 +1,19 @@
 enable f16;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
+
 #include "mul_mat_decls.tmpl"
 
 #ifdef VEC
-fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> vec4<f32> {
-    return vec4<f32>(f32(acc[tm][tn]), f32(acc[tm + 1][tn]), f32(acc[tm + 2][tn]), f32(acc[tm + 3][tn]));
+fn store_val(acc: array<array<f32, TILE_N>, TILE_M>, tn: u32, tm: u32) -> vec4<f32> {
+    return vec4<f32>(acc[tm][tn], acc[tm + 1][tn], acc[tm + 2][tn], acc[tm + 3][tn]);
 }
 #endif
 
 #ifdef SCALAR
-fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> f32 {
-    return f32(acc[tm][tn]);
+fn store_val(acc: array<array<f32, TILE_N>, TILE_M>, tn: u32, tm: u32) -> f32 {
+    return acc[tm][tn];
 }
 #endif
 
@@ -98,7 +100,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let offset_m = wg_m * WORKGROUP_SIZE_M * TILE_M;
     let offset_n = wg_n * WORKGROUP_SIZE_N * TILE_N;
 
-    var acc: array<array<f16, TILE_N>, TILE_M>;
+    var acc: array<array<f32, TILE_N>, TILE_M>;
 
     for (var k_outer = 0u; k_outer < params.k; k_outer += TILE_K) {
 
@@ -122,7 +124,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
                 let src1_idx = src1_n * TILE_K + k_inner;
                 let src1_val = shmem[TILE_SRC0_SHMEM + src1_idx];
                 for (var tm = 0u; tm < TILE_M; tm++) {
-                      acc[tm][tn] += src0_tile[tm] * src1_val;
+                      acc[tm][tn] += f32(src0_tile[tm]) * f32(src1_val);
                 }
             }
         }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
index 9f9ef279f29686f9def009a0c9b56ace18996a08..d86a72ce6e0b43d63003e2b28d19dedb91315058 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
@@ -3,9 +3,14 @@ enable f16;
 enable subgroups;
 enable chromium_experimental_subgroup_matrix;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
+
 #include "mul_mat_decls.tmpl"
 
+// TODO: this shader path does not work with some models like qwen2.5 on Metal devices, f16 accumulation causes NaNs.
+// See https://github.com/ggml-org/llama.cpp/issues/21602
+
 #ifdef VEC
 fn store_dst(shmem_idx: u32, dst_idx: u32) {
     dst[dst_idx] = vec4<f32>(
@@ -193,4 +198,3 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
         }
     }
 }
-
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
index 94f4bae11f4a3aa8e9b3538668fa85115e5a2749..97c9f6d7a09f91406dd7d7c1b76c2ddb18694092 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
@@ -1,480 +1,865 @@
+#ifdef USE_SUBGROUP_REDUCTION
+enable subgroups;
+#endif
 enable f16;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
 
-#ifdef VEC
+#ifdef U32_DEQUANT_HELPERS
+#define SRC0_TYPE u32
+
+fn byte_of(v: u32, b: u32) -> u32 {
+    return (v >> (b * 8u)) & 0xFFu;
+}
+
+fn sbyte_of(v: u32, b: u32) -> i32 {
+    let raw = i32((v >> (b * 8u)) & 0xFFu);
+    return select(raw, raw - 256, raw >= 128);
+}
+#endif
 
-#define VEC_SIZE 4
-#define DST_TYPE vec4<f32>
+#ifdef VEC
+#define VEC_SIZE 4u
 #define SRC0_TYPE vec4<SRC0_INNER_TYPE>
 #define SRC1_TYPE vec4<SRC1_INNER_TYPE>
 
 fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
     return f32(dot(SRC1_TYPE(src0_val), src1_val));
 }
-
-fn store_val(group_base: u32) -> vec4<f32> {
-    return vec4<f32>(partial_sums[group_base],
-                     partial_sums[group_base + THREADS_PER_OUTPUT],
-                     partial_sums[group_base + THREADS_PER_OUTPUT * 2],
-                     partial_sums[group_base + THREADS_PER_OUTPUT * 3]);
-}
 #endif
 
 #ifdef SCALAR
-
-#define VEC_SIZE 1
-#define DST_TYPE f32
+#define VEC_SIZE 1u
 #define SRC0_TYPE SRC0_INNER_TYPE
 #define SRC1_TYPE SRC1_INNER_TYPE
 
 fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
     return f32(src0_val) * f32(src1_val);
 }
+#endif
 
-fn store_val(group_base: u32) -> f32 {
-    return partial_sums[group_base];
+struct MulMatParams {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+    m: u32,
+    n: u32,
+    k: u32,
+    stride_01: u32,
+    stride_11: u32,
+    stride_02: u32,
+    stride_12: u32,
+    stride_03: u32,
+    stride_13: u32,
+    bs02: u32,
+    bs03: u32,
+    broadcast2: u32,
+    broadcast3: u32
+};
+
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>;
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>;
+@group(0) @binding(2) var<storage, read_write> dst: array<f32>;
+
+@group(0) @binding(3) var<uniform> params: MulMatParams;
+
+// Flattened as [row][thread] to keep each row's reduction contiguous in memory.
+var<workgroup> partial_sums: array<f32, OUTPUTS_PER_WG * WG_SIZE>;
+
+fn partial_index(row: u32, thread: u32) -> u32 {
+    return row * WG_SIZE + thread;
 }
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(local_invocation_id) local_id: vec3<u32>,
+    @builtin(workgroup_id) wg_id: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>
+#ifdef USE_SUBGROUP_REDUCTION
+  , @builtin(subgroup_id) subgroup_id: u32,
+    @builtin(subgroup_invocation_id) subgroup_invocation_id: u32,
+    @builtin(num_subgroups) num_subgroups: u32,
+    @builtin(subgroup_size) subgroup_size: u32
 #endif
+) {
+    let thread_id = local_id.x;
+
+    let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+    let output_groups = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG;
+    let batch_idx = wg_linear / output_groups;
+    if (batch_idx >= total_batches) {
+        return;
+    }
+
+    let row_base = (wg_linear % output_groups) * OUTPUTS_PER_WG;
+
+    let dst2_stride = params.m * params.n;
+    let dst2_idx = batch_idx % (params.bs02 * params.broadcast2);
+    let dst3_stride = dst2_stride * params.bs02 * params.broadcast2;
+    let dst3_idx = batch_idx / (params.bs02 * params.broadcast2);
+    let src03_idx = dst3_idx / params.broadcast3;
+    let src13_idx = dst3_idx;
+    let src02_idx = dst2_idx / params.broadcast2;
+    let src12_idx = dst2_idx;
+
+    let src0_batch_offset = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02;
+    let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12;
+    let dst_idx_base = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + row_base;
+
+    var acc: array<f32, OUTPUTS_PER_WG>;
 
 #ifdef MUL_ACC_FLOAT
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * VEC_SIZE; i < tile_size; i += THREADS_PER_OUTPUT * VEC_SIZE) {
-        let a = src0[(idx_base + k_outer + i) / VEC_SIZE];
-        let b = shared_vector[i / VEC_SIZE];
-        local_sum += inner_dot(a, b);
+    let k_vec = params.k / VEC_SIZE;
+    let src1_idx_base_vec = src1_idx_base / VEC_SIZE;
+
+    // Each thread walks K, loads from the vector, and updates
+    // a small block of output rows held in registers.
+    for (var k = thread_id; k < k_vec; k += WG_SIZE) {
+        let x = src1[src1_idx_base_vec + k];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let src0_idx = (src0_batch_offset + output_row * params.stride_01) / VEC_SIZE + k;
+                acc[row] += inner_dot(src0[src0_idx], x);
+            }
+        }
     }
-    return local_sum;
-}
 #endif
 
 #ifdef MUL_ACC_Q4_0
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 18
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % 4;
+    for (var block = thread_id/THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE/THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
 
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 9u; // 1 scale + 8x4 packed weights
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_0 = src0[scale_idx + 1 + block_offset + j];
-            let q_1 = src0[scale_idx + 1 + block_offset + j + 1];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-                let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * d;
-                let q_lo = (f32(q_byte & 0xF) - 8.0) * d;
-                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                var row_sum = 0.0;
+
+                let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block);
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let q_lo = (f32(q_byte & 0xFu) - 8.0) * d;
+                    let q_hi = (f32((q_byte >> 4u) & 0xFu) - 8.0) * d;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
             }
         }
     }
-    return local_sum;
-}
 #endif
 
 #ifdef MUL_ACC_Q4_1
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 20
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
 
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 10u;
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-        let m = f32(src0[scale_idx + 1u]);
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_0 = src0[scale_idx + 2u + block_offset + j];
-            let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-                let q_hi = f32((q_byte >> 4) & 0xF) * d + m;
-                let q_lo = f32(q_byte & 0xF) * d + m;
-                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let m = f32(load_f16_at_src0(block_byte_base + 2u));
+                var row_sum = 0.0;
+
+                let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * thread_within_block);
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let q_lo = f32(q_byte & 0xFu) * d + m;
+                    let q_hi = f32((q_byte >> 4u) & 0xFu) * d + m;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
             }
         }
     }
-    return local_sum;
-}
 #endif
 
 #ifdef MUL_ACC_Q5_0
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 22
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
 
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 11u;
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-        let qh0 = src0[scale_idx + 1u];
-        let qh1 = src0[scale_idx + 2u];
-        let qh_packed = bitcast<u32>(vec2(qh0, qh1));
-
-        for (var j = 0u; j < 2; j++) {
-            let q_0 = src0[scale_idx + 3u + block_offset + (j*2)];
-            let q_1 = src0[scale_idx + 3u + block_offset + (j*2) + 1u];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-
-            let j_adjusted = j + (block_offset / 2u);
-
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-
-                let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
-                let q_hi = (f32(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d;
-                let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
-                let q_lo = (f32((q_byte & 0xF) | qh_lo) - 16.0) * d;
-
-                local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let qh_packed = load_u32_at_src0(block_byte_base + 2u);
+                let q_packed = load_u32_at_src0(block_byte_base + 6u + 4u * thread_within_block);
+                let qh_shift = thread_within_block * 4u;
+                var row_sum = 0.0;
+
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u;
+                    let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u;
+                    let q_lo = (f32((q_byte & 0xFu) | qh_lo) - 16.0) * d;
+                    let q_hi = (f32(((q_byte >> 4u) & 0xFu) | qh_hi) - 16.0) * d;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
             }
-
         }
     }
-    return local_sum;
-}
 #endif
 
-
 #ifdef MUL_ACC_Q5_1
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 24
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
 
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 12u;
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-        let m = src0[scale_idx + 1u];
-        let qh0 = src0[scale_idx + 2u];
-        let qh1 = src0[scale_idx + 3u];
-        let qh_packed = bitcast<u32>(vec2(qh0, qh1));
-
-        for (var j = 0u; j < 2; j++) {
-            let q_0 = src0[scale_idx + 4u + block_offset + (j*2)];
-            let q_1 = src0[scale_idx + 4u + block_offset + (j*2) + 1u];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-
-            let j_adjusted = j + (block_offset / 2u);
-
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-
-                let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
-                let q_hi = f32(((q_byte >> 4) & 0xF) | qh_hi) * d + f32(m);
-                let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
-                let q_lo = f32((q_byte & 0xF) | qh_lo) * d + f32(m);
-
-                local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let m = f32(load_f16_at_src0(block_byte_base + 2u));
+                let qh_packed = load_u32_at_src0(block_byte_base + 4u);
+                let q_packed = load_u32_at_src0(block_byte_base + 8u + 4u * thread_within_block);
+                let qh_shift = thread_within_block * 4u;
+                var row_sum = 0.0;
+
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u;
+                    let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u;
+                    let q_lo = f32((q_byte & 0xFu) | qh_lo) * d + m;
+                    let q_hi = f32(((q_byte >> 4u) & 0xFu) | qh_hi) * d + m;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
             }
-
         }
     }
-    return local_sum;
-}
 #endif
 
-
 #ifdef MUL_ACC_Q8_0
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 34
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
 
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 17u;
-const WEIGHTS_PER_F16 = 2u;
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_0 = src0[scale_idx + 1 + block_offset + j];
-            let q_1 = src0[scale_idx + 1 + block_offset + j + 1];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte_i32(q_packed, k);
-                let q_val = f32(q_byte) * d;
-                local_sum += q_val * shared_vector[shmem_idx + j * 2 + k];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                var row_sum = 0.0;
+
+                for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) {
+                    let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * (thread_within_block * 2u + packed_idx));
+                    for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                        let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d;
+                        row_sum += q_val * x_block[packed_idx * 4u + byte_idx];
+                    }
+                }
+                acc[row] += row_sum;
             }
         }
     }
-    return local_sum;
-}
 #endif
 
-
 #ifdef MUL_ACC_Q8_1
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 36
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
 
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 18u;
-const WEIGHTS_PER_F16 = 2u;
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-        let m = src0[scale_idx + 1u];
-
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_0 = src0[scale_idx + 2u + block_offset + j];
-            let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte_i32(q_packed, k);
-                let q_val = f32(q_byte) * d + f32(m);
-                local_sum += q_val * shared_vector[shmem_idx + j * 2 + k];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let m = f32(load_f16_at_src0(block_byte_base + 2u));
+                var row_sum = 0.0;
+
+                for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) {
+                    let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * (thread_within_block * 2u + packed_idx));
+                    for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                        let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d + m;
+                        row_sum += q_val * x_block[packed_idx * 4u + byte_idx];
+                    }
+                }
+                acc[row] += row_sum;
             }
         }
     }
-    return local_sum;
-}
 #endif
 
-#ifdef MUL_ACC_Q6_K
-
-const BLOCK_SIZE = 256u;
-const F16_PER_BLOCK = 105u;
-
-fn load_u32_at(bbase: u32, byte_offset: u32) -> u32 {
-    let aligned = byte_offset & ~3u;
-    let idx = bbase + aligned / 2u;
-    return bitcast<u32>(vec2(src0[idx], src0[idx + 1u]));
-}
-
-fn byte_of(v: u32, b: u32) -> u32 {
-    return (v >> (b * 8u)) & 0xFFu;
-}
+#ifdef MUL_ACC_Q2_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 84
+#define THREADS_PER_BLOCK 16
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let lane = tid / 2u;
+    let phase = tid % 2u;
+    let iq = lane / 4u;
+    let ir = lane % 4u;
+    let is = ir / 2u;
+
+    let y_offset = 128u * iq + 8u * ir + 4u * phase;
+    let sc0_byte = 8u * iq + is;
+    let sc2_byte = 8u * iq + is + 2u;
+    let sc4_byte = 8u * iq + is + 4u;
+    let sc6_byte = 8u * iq + is + 6u;
+    let qs_byte = 16u + (16u * iq + 4u * ir) * 2u + 4u * phase;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 4u; i++) {
+            x_block[i]       = f32(src1[x_base + i]);
+            x_block[i + 4u]  = f32(src1[x_base + 32u + i]);
+            x_block[i + 8u]  = f32(src1[x_base + 64u + i]);
+            x_block[i + 12u] = f32(src1[x_base + 96u + i]);
+        }
 
-fn sbyte_of(v: u32, b: u32) -> i32 {
-    let raw = i32((v >> (b * 8u)) & 0xFFu);
-    return select(raw, raw - 256, raw >= 128);
-}
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let dall = f32(load_f16_at_src0(block_byte_base + 80u));
+                let dmin = f32(load_f16_at_src0(block_byte_base + 82u)) * (1.0 / 16.0);
+
+                let sc0 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc0_byte), sc0_byte & 3u);
+                let sc2 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc2_byte), sc2_byte & 3u);
+                let sc4 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc4_byte), sc4_byte & 3u);
+                let sc6 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc6_byte), sc6_byte & 3u);
+
+                let q_u32 = load_u32_at_src0_aligned(block_byte_base + qs_byte);
+                let qs0 = q_u32 & 0xFFFFu;
+                let qs1 = q_u32 >> 16u;
+
+                var sumy = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var acc1 = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var acc2 = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+
+                sumy[0] = x_block[0] + x_block[1] + x_block[2] + x_block[3];
+                sumy[1] = x_block[4] + x_block[5] + x_block[6] + x_block[7];
+                sumy[2] = x_block[8] + x_block[9] + x_block[10] + x_block[11];
+                sumy[3] = x_block[12] + x_block[13] + x_block[14] + x_block[15];
+
+                acc1[0] = x_block[0] * f32(qs0 & 0x0003u) + x_block[2] * f32(qs1 & 0x0003u);
+                acc2[0] = x_block[1] * f32(qs0 & 0x0300u) + x_block[3] * f32(qs1 & 0x0300u);
+                acc1[1] = x_block[4] * f32(qs0 & 0x000Cu) + x_block[6] * f32(qs1 & 0x000Cu);
+                acc2[1] = x_block[5] * f32(qs0 & 0x0C00u) + x_block[7] * f32(qs1 & 0x0C00u);
+                acc1[2] = x_block[8] * f32(qs0 & 0x0030u) + x_block[10] * f32(qs1 & 0x0030u);
+                acc2[2] = x_block[9] * f32(qs0 & 0x3000u) + x_block[11] * f32(qs1 & 0x3000u);
+                acc1[3] = x_block[12] * f32(qs0 & 0x00C0u) + x_block[14] * f32(qs1 & 0x00C0u);
+                acc2[3] = x_block[13] * f32(qs0 & 0xC000u) + x_block[15] * f32(qs1 & 0xC000u);
+
+                acc[row] += dall * ((acc1[0] + (1.0/256.0) * acc2[0]) * f32(sc0 & 0xFu) +
+                                    (acc1[1] + (1.0/256.0) * acc2[1]) * f32(sc2 & 0xFu) / 4.0 +
+                                    (acc1[2] + (1.0/256.0) * acc2[2]) * f32(sc4 & 0xFu) / 16.0 +
+                                    (acc1[3] + (1.0/256.0) * acc2[3]) * f32(sc6 & 0xFu) / 64.0)
+                          - dmin * (sumy[0] * f32(sc0 & 0xF0u) + sumy[1] * f32(sc2 & 0xF0u) +
+                                    sumy[2] * f32(sc4 & 0xF0u) + sumy[3] * f32(sc6 & 0xF0u));
+            }
+        }
+    }
+#endif
 
-fn mul_acc(tig: u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    let tid = tig / 2u;
-    let ix  = tig % 2u;
-    let ip  = tid / 8u;
-    let il  = tid % 8u;
-    let l0  = 4u * il;
-    let is  = 8u * ip + l0 / 16u;
 
-    let y_offset   = 128u * ip + l0;
-    let q_offset_l =  64u * ip + l0;
-    let q_offset_h =  32u * ip + l0;
+#ifdef MUL_ACC_Q3_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 110
+#define THREADS_PER_BLOCK 16
 
-    let nb = tile_size / BLOCK_SIZE;
-    let k_block_start = k_outer / BLOCK_SIZE;
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
 
-    // Aligned scale byte position (is can be odd)
-    let sc_base_byte = 192u + (is & ~3u);
-    let sc_byte_pos  = is & 3u;
+    let lane = tid / 2u;
+    let phase = tid % 2u;
+    let ip = lane / 4u;
+    let il = 2u * ((lane % 4u) / 2u);
+    let ir = lane % 2u;
+    let l0 = 8u * ir;
 
-    var local_sum = 0.0;
+    let q_byte = 32u + 32u * ip + l0 + 16u * phase;
+    let h_byte = l0 + 16u * phase;
+    let y_offset = 128u * ip + 32u * il + l0 + 16u * phase;
 
-    for (var i = ix; i < nb; i += 2u) {
-        let bbase = (idx_base + k_block_start + i) * F16_PER_BLOCK;
+    let s_shift1 = 4u * ip;
+    let s_shift2 = s_shift1 + il;
 
-        let d_raw = load_u32_at(bbase, 208u);
-        let d = f32(bitcast<vec2<f16>>(d_raw)[0]);
+    let v1 = select(64.0, 4.0, il == 0u);
+    let v2 = 4.0 * v1;
+    let shift = 2u * il;
 
-        let ql1_u32  = load_u32_at(bbase, q_offset_l);
-        let ql2_u32  = load_u32_at(bbase, q_offset_l + 32u);
-        let qh_u32   = load_u32_at(bbase, 128u + q_offset_h);
-        let sc_u32_0 = load_u32_at(bbase, sc_base_byte);
-        let sc_u32_1 = load_u32_at(bbase, sc_base_byte + 4u);
+    var qm0: u32; var qm1: u32; var qm2: u32; var qm3: u32;
+    if (il == 0u) {
+        qm0 = 0x0003u; qm1 = 0x0300u; qm2 = 0x000Cu; qm3 = 0x0C00u;
+    } else {
+        qm0 = 0x0030u; qm1 = 0x3000u; qm2 = 0x00C0u; qm3 = 0xC000u;
+    }
 
-        let sc0 = sbyte_of(sc_u32_0, sc_byte_pos);
-        let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u);
-        let sc4 = sbyte_of(sc_u32_1, sc_byte_pos);
-        let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u);
+    let mm_idx = 2u * ip + il / 2u;
+    var hm0: u32; var hm1: u32; var hm2: u32; var hm3: u32;
+    switch (mm_idx) {
+        case 0u: { hm0=0x0001u; hm1=0x0100u; hm2=0x0002u; hm3=0x0200u; }
+        case 1u: { hm0=0x0004u; hm1=0x0400u; hm2=0x0008u; hm3=0x0800u; }
+        case 2u: { hm0=0x0010u; hm1=0x1000u; hm2=0x0020u; hm3=0x2000u; }
+        default: { hm0=0x0040u; hm1=0x4000u; hm2=0x0080u; hm3=0x8000u; }
+    }
 
-        var sums = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+    let num_blocks = params.k / BLOCK_SIZE;
 
-        for (var l = 0u; l < 4u; l++) {
-            let y_base = i * BLOCK_SIZE + y_offset + l;
-            let yl0 = f32(shared_vector[y_base]);
-            let yl1 = f32(shared_vector[y_base + 32u]);
-            let yl2 = f32(shared_vector[y_base + 64u]);
-            let yl3 = f32(shared_vector[y_base + 96u]);
-
-            let q1b = byte_of(ql1_u32, l);
-            let q2b = byte_of(ql2_u32, l);
-            let qhb = byte_of(qh_u32,  l);
-
-            let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32);
-            let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32);
-            let dq2 = f32(i32((q1b >>   4u) | ((qhb & 0x30u)       )) - 32);
-            let dq3 = f32(i32((q2b >>   4u) | ((qhb & 0xC0u) >> 2u)) - 32);
-
-            sums[0] += yl0 * dq0;
-            sums[1] += yl1 * dq1;
-            sums[2] += yl2 * dq2;
-            sums[3] += yl3 * dq3;
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 8u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 8u] = f32(src1[x_base + 32u + i]);
         }
 
-        local_sum += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) +
-                          sums[2] * f32(sc4) + sums[3] * f32(sc6));
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 108u));
+                let a_base = 96u;
+                let a_il0 = load_u16_at_src0(block_byte_base + a_base + il * 2u);
+                let a_il1 = load_u16_at_src0(block_byte_base + a_base + (il + 1u) * 2u);
+                let a_4 = load_u16_at_src0(block_byte_base + a_base + 8u);
+                let a_5 = load_u16_at_src0(block_byte_base + a_base + 10u);
+
+                var scales32 = a_4 | (a_5 << 16u);
+                let aux32 = ((scales32 >> s_shift2) << 4u) & 0x30303030u;
+                scales32 = a_il0 | (a_il1 << 16u);
+                scales32 = ((scales32 >> s_shift1) & 0x0F0F0F0Fu) | aux32;
+
+                let scale0 = f32(i32(byte_of(scales32, phase + 0u)) - 32);
+                let scale1 = f32(i32(byte_of(scales32, phase + 2u)) - 32);
+
+                let q_u32_0 = load_u32_at_src0(block_byte_base + q_byte + 0u);
+                let q_u32_1 = load_u32_at_src0(block_byte_base + q_byte + 4u);
+                let h_u32_0 = load_u32_at_src0(block_byte_base + h_byte + 0u);
+                let h_u32_1 = load_u32_at_src0(block_byte_base + h_byte + 4u);
+
+                var s1 = 0.0; var s2 = 0.0; var s3 = 0.0;
+                var s4 = 0.0; var s5 = 0.0; var s6 = 0.0;
+
+                for (var l = 0u; l < 8u; l += 2u) {
+                    let q_u32 = select(q_u32_0, q_u32_1, l >= 4u);
+                    let qs = select(q_u32 & 0xFFFFu, q_u32 >> 16u, (l & 2u) != 0u);
+                    let h_u32 = select(h_u32_0, h_u32_1, l >= 4u);
+                    let hv = select(h_u32 & 0xFFFFu, h_u32 >> 16u, (l & 2u) != 0u);
+
+                    s1 += x_block[l + 0u] * f32(qs & qm0);
+                    s2 += x_block[l + 1u] * f32(qs & qm1);
+                    s3 += select(0.0, x_block[l + 0u], (hv & hm0) == 0u) +
+                          select(0.0, x_block[l + 1u], (hv & hm1) == 0u);
+                    s4 += x_block[l + 8u] * f32(qs & qm2);
+                    s5 += x_block[l + 9u] * f32(qs & qm3);
+                    s6 += select(0.0, x_block[l + 8u], (hv & hm2) == 0u) +
+                          select(0.0, x_block[l + 9u], (hv & hm3) == 0u);
+                }
+
+                let d1 = d * (s1 + (1.0/256.0) * s2 - s3 * v1);
+                let d2 = d * (s4 + (1.0/256.0) * s5 - s6 * v2);
+                acc[row] += (d1 * scale0 + 0.25 * d2 * scale1) / f32(1u << shift);
+            }
+        }
     }
-
-    return local_sum;
-}
 #endif
 
-struct MulMatParams {
-    offset_src0: u32,
-    offset_src1: u32,
-    offset_dst: u32,
-    m: u32,
-    n: u32,
-    k: u32,
-    stride_01: u32,
-    stride_11: u32,
-    stride_02: u32,
-    stride_12: u32,
-    stride_03: u32,
-    stride_13: u32,
-    bs02: u32,
-    bs03: u32,
-    broadcast2: u32,
-    broadcast3: u32
-};
-
-// SRC0_TYPE and SRC1_TYPE are defined in mul_mat_decls, which is included
-@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // M rows, K columns
-@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // K rows, N columns (transposed)
-@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>; // M rows, N columns (transposed)
-
-@group(0) @binding(3) var<uniform> params: MulMatParams;
-
-const THREADS_PER_OUTPUT = WG_SIZE / OUTPUTS_PER_WG;
+#ifdef MUL_ACC_Q4_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 144
+#define THREADS_PER_BLOCK 16
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let il = tid / 4u;
+    let ir = tid % 4u;
+    let im = il / 2u;
+    let in = il % 2u;
+    let l0 = 4u * (2u * ir + in);
+
+    let y_offset = 64u * im + l0;
+    let q_offset = 32u * im + l0;
+    let sc0_byte = 4u + im * 2u;
+    let sc2_byte = 4u + (im + 2u) * 2u;
+    let sc4_byte = 4u + (im + 4u) * 2u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 4u; i++) {
+            x_block[i]       = f32(src1[x_base + i]);
+            x_block[i + 4u]  = f32(src1[x_base + 32u + i]);
+            x_block[i + 8u]  = f32(src1[x_base + 128u + i]);
+            x_block[i + 12u] = f32(src1[x_base + 160u + i]);
+        }
 
-// Shared memory for collaborative loading and reduction
-var<workgroup> shared_vector: array<SRC1_TYPE, TILE_K/VEC_SIZE>;  // Cache vector tile
-var<workgroup> partial_sums: array<f32, WG_SIZE>;   // For reduction
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 0u));
+                let dmin = f32(load_f16_at_src0(block_byte_base + 2u));
+
+                let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte);
+                let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u);
+                let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte);
+                let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u);
+                let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte);
+                let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u);
+
+                let sc16_0 = sc0 & 0x3F3Fu;
+                let sc16_1 = sc2 & 0x3F3Fu;
+                let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u);
+                let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u);
+
+                let scale0 = f32(sc16_0 & 0xFFu);
+                let scale1 = f32((sc16_0 >> 8u) & 0xFFu);
+                let min0 = f32(sc16_1 & 0xFFu);
+                let min1 = f32((sc16_1 >> 8u) & 0xFFu);
+                let scale2 = f32(sc16_2 & 0xFFu);
+                let scale3 = f32((sc16_2 >> 8u) & 0xFFu);
+                let min2 = f32(sc16_3 & 0xFFu);
+                let min3 = f32((sc16_3 >> 8u) & 0xFFu);
+
+                let q1_u32 = load_u32_at_src0_aligned(block_byte_base + 16u + q_offset);
+                let q2_u32 = load_u32_at_src0_aligned(block_byte_base + 80u + q_offset);
+
+                var dot = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var sumx = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                for (var i = 0u; i < 4u; i++) {
+                    let q1b = byte_of(q1_u32, i);
+                    let q2b = byte_of(q2_u32, i);
+                    dot[0] += x_block[i] * f32(q1b & 0x0Fu);
+                    dot[1] += x_block[i + 4u] * f32(q1b >> 4u);
+                    dot[2] += x_block[i + 8u] * f32(q2b & 0x0Fu);
+                    dot[3] += x_block[i + 12u] * f32(q2b >> 4u);
+                    sumx[0] += x_block[i];
+                    sumx[1] += x_block[i + 4u];
+                    sumx[2] += x_block[i + 8u];
+                    sumx[3] += x_block[i + 12u];
+                }
+
+                acc[row] += d * (dot[0] * scale0 + dot[1] * scale1 + dot[2] * scale2 + dot[3] * scale3)
+                          - dmin * (sumx[0] * min0 + sumx[1] * min1 + sumx[2] * min2 + sumx[3] * min3);
+            }
+        }
+    }
+#endif
 
-@compute @workgroup_size(WG_SIZE)
-fn main(
-    @builtin(local_invocation_id) local_id: vec3<u32>,
-    @builtin(workgroup_id) wg_id: vec3<u32>,
-    @builtin(num_workgroups) num_wg: vec3<u32>) {
-    let thread_id = local_id.x;
+#ifdef MUL_ACC_Q5_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 176
+#define THREADS_PER_BLOCK 16
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let il = tid / 4u;
+    let ir = tid % 4u;
+    let im = il / 2u;
+    let in = il % 2u;
+    let l0 = 4u * (2u * ir + in);
+
+    let y_offset = 64u * im + l0;
+    let q_offset = 48u + 32u * im + l0;
+    let qh_offset = 16u + 8u * ir + 4u * in;
+    let sc0_byte = 4u + im * 2u;
+    let sc2_byte = 4u + (im + 2u) * 2u;
+    let sc4_byte = 4u + (im + 4u) * 2u;
+
+    let hm1 = 1u << (2u * im);
+    let hm2 = hm1 << 1u;
+    let hm3 = hm1 << 4u;
+    let hm4 = hm2 << 4u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 4u; i++) {
+            x_block[i]       = f32(src1[x_base + i]);
+            x_block[i + 4u]  = f32(src1[x_base + 32u + i]);
+            x_block[i + 8u]  = f32(src1[x_base + 128u + i]);
+            x_block[i + 12u] = f32(src1[x_base + 160u + i]);
+        }
 
-    // Handle batch dimensions
-    let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
-    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
-    let output_groups = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG;
-    let batch_idx = wg_linear / output_groups;
-    if (batch_idx >= total_batches) {
-        return;
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 0u));
+                let dmin = f32(load_f16_at_src0(block_byte_base + 2u));
+
+                let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte);
+                let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u);
+                let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte);
+                let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u);
+                let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte);
+                let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u);
+
+                let sc16_0 = sc0 & 0x3F3Fu;
+                let sc16_1 = sc2 & 0x3F3Fu;
+                let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u);
+                let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u);
+
+                let f0 = f32(sc16_0 & 0xFFu);
+                let f1 = f32((sc16_0 >> 8u) & 0xFFu);
+                let m0 = f32(sc16_1 & 0xFFu);
+                let m1 = f32((sc16_1 >> 8u) & 0xFFu);
+                let f4 = f32(sc16_2 & 0xFFu);
+                let f5 = f32((sc16_2 >> 8u) & 0xFFu);
+                let m4 = f32(sc16_3 & 0xFFu);
+                let m5 = f32((sc16_3 >> 8u) & 0xFFu);
+
+                let q1_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset);
+                let q2_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset + 64u);
+                let qh_u32 = load_u32_at_src0_aligned(block_byte_base + qh_offset);
+
+                var vals = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var sumy = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                for (var i = 0u; i < 4u; i++) {
+                    let q1b = byte_of(q1_u32, i);
+                    let q2b = byte_of(q2_u32, i);
+                    let qhb = byte_of(qh_u32, i);
+
+                    let yl0 = x_block[i];
+                    let yl8 = x_block[i + 4u];
+                    let yh0 = x_block[i + 8u];
+                    let yh8 = x_block[i + 12u];
+
+                    sumy[0] += yl0;
+                    sumy[1] += yl8;
+                    sumy[2] += yh0;
+                    sumy[3] += yh8;
+
+                    let q0 = f32((q1b & 0x0Fu) | select(0u, 0x10u, (qhb & hm1) != 0u));
+                    let q1 = f32((q1b >> 4u) | select(0u, 0x10u, (qhb & hm2) != 0u));
+                    let q2 = f32((q2b & 0x0Fu) | select(0u, 0x10u, (qhb & hm3) != 0u));
+                    let q3 = f32((q2b >> 4u) | select(0u, 0x10u, (qhb & hm4) != 0u));
+
+                    vals[0] += yl0 * q0;
+                    vals[1] += yl8 * q1;
+                    vals[2] += yh0 * q2;
+                    vals[3] += yh8 * q3;
+                }
+
+                acc[row] += d * (f0 * vals[0] + f1 * vals[1] + f4 * vals[2] + f5 * vals[3])
+                          - dmin * (sumy[0] * m0 + sumy[1] * m1 +
+                                    sumy[2] * m4 + sumy[3] * m5);
+            }
+        }
     }
+#endif
 
-    // Which of the outputs does this thread belong to?
-    let thread_group = thread_id / THREADS_PER_OUTPUT;
-    let thread_in_group = thread_id % THREADS_PER_OUTPUT;
+#ifdef MUL_ACC_Q6_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 210
+#define THREADS_PER_BLOCK 16
 
-    // Each workgroup computes OUTPUTS_PER_WG consecutive outputs
-    let output_row = (wg_linear % output_groups) * OUTPUTS_PER_WG + thread_group;
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
 
-    let dst2_stride = params.m * params.n;
-    let dst2_idx = batch_idx % (params.bs02 * params.broadcast2);
-    let dst3_stride = dst2_stride * params.bs02 * params.broadcast2;
-    let dst3_idx = batch_idx / (params.bs02 * params.broadcast2);
-    let src03_idx = dst3_idx / params.broadcast3;
-    let src13_idx = dst3_idx;
-    let src02_idx = dst2_idx / params.broadcast2;
-    let src12_idx = dst2_idx;
+    let ip = tid / 8u;
+    let il = tid % 8u;
+    let l0 = 4u * il;
+    let is = 8u * ip + l0 / 16u;
 
-    let src0_idx_base = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02 + output_row * params.stride_01;
-    let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12;
-    let dst_idx = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + output_row;
+    let y_offset = 128u * ip + l0;
+    let q_offset_l = 64u * ip + l0;
+    let q_offset_h = 32u * ip + l0;
 
-    var local_sum = 0.0;
+    let num_blocks = params.k / BLOCK_SIZE;
+    let sc_base_byte = 192u + (is & ~3u);
+    let sc_byte_pos = is & 3u;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var l = 0u; l < 4u; l++) {
+            x_block[l]       = f32(src1[x_base + l]);
+            x_block[l + 4u]  = f32(src1[x_base + 32u + l]);
+            x_block[l + 8u]  = f32(src1[x_base + 64u + l]);
+            x_block[l + 12u] = f32(src1[x_base + 96u + l]);
+        }
 
-    // Each thread processes multiple K elements and accumulates
-    for (var k_tile = 0u; k_tile < params.k; k_tile += TILE_K) {
-        let tile_size = min(TILE_K, params.k - k_tile);
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 208u));
+                let ql1_u32 = load_u32_at_src0(block_byte_base + q_offset_l);
+                let ql2_u32 = load_u32_at_src0(block_byte_base + q_offset_l + 32u);
+                let qh_u32 = load_u32_at_src0(block_byte_base + 128u + q_offset_h);
+                let sc_u32_0 = load_u32_at_src0(block_byte_base + sc_base_byte);
+                let sc_u32_1 = load_u32_at_src0(block_byte_base + sc_base_byte + 4u);
+
+                let sc0 = sbyte_of(sc_u32_0, sc_byte_pos);
+                let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u);
+                let sc4 = sbyte_of(sc_u32_1, sc_byte_pos);
+                let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u);
+
+                var sums = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+
+                for (var l = 0u; l < 4u; l++) {
+                    let q1b = byte_of(ql1_u32, l);
+                    let q2b = byte_of(ql2_u32, l);
+                    let qhb = byte_of(qh_u32, l);
+
+                    let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32);
+                    let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32);
+                    let dq2 = f32(i32((q1b >> 4u) | (qhb & 0x30u)) - 32);
+                    let dq3 = f32(i32((q2b >> 4u) | ((qhb & 0xC0u) >> 2u)) - 32);
+
+                    sums[0] += x_block[l] * dq0;
+                    sums[1] += x_block[l + 4u] * dq1;
+                    sums[2] += x_block[l + 8u] * dq2;
+                    sums[3] += x_block[l + 12u] * dq3;
+                }
+
+                acc[row] += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) +
+                                 sums[2] * f32(sc4) + sums[3] * f32(sc6));
+            }
+        }
+    }
+#endif
 
-        // Cooperatively load vector tile into shared memory (all threads)
-        for (var i = thread_id * VEC_SIZE; i < tile_size; i += WG_SIZE * VEC_SIZE) {
-            shared_vector[i / VEC_SIZE] = src1[(src1_idx_base + k_tile + i) / VEC_SIZE];
+#ifdef USE_SUBGROUP_REDUCTION
+    for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+        let subgroup_total = subgroupAdd(acc[row]);
+        if (subgroup_invocation_id == 0u) {
+            partial_sums[partial_index(row, subgroup_id)] = subgroup_total;
         }
+    }
 
-        workgroupBarrier();
+    workgroupBarrier();
 
-        if (output_row < params.m) {
-            local_sum += mul_acc(thread_in_group, tile_size, src0_idx_base, k_tile);
+    for (var row = subgroup_id; (row < OUTPUTS_PER_WG) && (row_base + row < params.m); row += num_subgroups) {
+        let output_row = row_base + row;
+        var row_acc = 0.0f;
+        for (var k = subgroup_invocation_id; k < num_subgroups; k += subgroup_size) {
+            row_acc += partial_sums[partial_index(row, k)];
         }
+        let row_total = subgroupAdd(row_acc);
+        if (subgroup_invocation_id == 0) {
+            dst[dst_idx_base + row] = row_total;
+        }
+    }
+#endif
 
-        workgroupBarrier();
+#ifdef USE_WORKGROUP_REDUCTION
+    for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+        partial_sums[partial_index(row, thread_id)] = acc[row];
     }
 
-    // Store partial sums and reduce within each partition
-    partial_sums[thread_id] = local_sum;
     workgroupBarrier();
-    let group_base = thread_group * THREADS_PER_OUTPUT;
-    let thread_base = group_base + thread_in_group;
-    var offset: u32 = THREADS_PER_OUTPUT / 2;
-    while (offset > 0) {
-        if (thread_in_group < offset) {
-            partial_sums[thread_base] += partial_sums[thread_base + offset];
+
+    var stride = WG_SIZE / 2u;
+
+    while (stride > 0) {
+        if (thread_id < stride) {
+            for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+                partial_sums[partial_index(row, thread_id)] += partial_sums[partial_index(row, thread_id + stride)];
+            }
         }
-        offset = offset / 2;
+
         workgroupBarrier();
+        stride = stride / 2;
     }
 
-    // Store back to global memory
-    if (output_row < params.m && thread_group % VEC_SIZE == 0 && thread_in_group == 0) {
-        dst[dst_idx / VEC_SIZE] = store_val(group_base);
+    if (thread_id < OUTPUTS_PER_WG) {
+        let output_row = row_base + thread_id;
+        if (output_row < params.m) {
+            dst[dst_idx_base + thread_id] = partial_sums[partial_index(thread_id, 0)];
+        }
     }
+#endif
 }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/rope.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/rope.wgsl
similarity index 73%
rename from ggml/src/ggml-webgpu/wgsl-shaders/rope.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/rope.wgsl
index 84dc8dbff61debb250af27dd59b617412f9c1026..1c874e14240e501e9a02da943c366446de6346ed 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/rope.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/rope.wgsl
@@ -1,138 +1,12 @@
-#define(VARIANTS)
-
-[
-  {
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_FF_BINDINGS", "NO_FF_FUNC", "ROTATE"]
-  },
-  {
-    "SHADER_SUFFIX": "f32_inplace",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["NO_FF_BINDINGS_INPLACE", "NO_FF_FUNC", "ROTATE_INPLACE"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_FF_BINDINGS", "NO_FF_FUNC", "ROTATE"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_inplace",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["NO_FF_BINDINGS_INPLACE", "NO_FF_FUNC", "ROTATE_INPLACE"]
-  },
-  {
-   "SHADER_SUFFIX": "f32_ff",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["FF_BINDINGS", "FF_FUNC", "ROTATE"]
-  },
-  {
-   "SHADER_SUFFIX": "f32_ff_inplace",
-    "REPLS": {
-      "TYPE" : "f32",
-    },
-    "DECLS": ["FF_BINDINGS_INPLACE", "FF_FUNC", "ROTATE_INPLACE"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_ff",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["FF_BINDINGS", "FF_FUNC", "ROTATE"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_ff_inplace",
-    "REPLS": {
-      "TYPE" : "f16",
-    },
-    "DECLS": ["FF_BINDINGS_INPLACE", "FF_FUNC", "ROTATE_INPLACE"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(ROTATE)
-fn rotate(i_dst0: u32, i_dst1: u32, out0: f32, out1: f32) {
-    dst[i_dst0] = {{TYPE}}(out0);
-    dst[i_dst1] = {{TYPE}}(out1);
-}
-#enddecl(ROTATE)
-
-#decl(ROTATE_INPLACE)
-fn rotate(i_dst0: u32, i_dst1: u32, out0: f32, out1: f32) {
-    src0[i_dst0] = {{TYPE}}(out0);
-    src0[i_dst1] = {{TYPE}}(out1);
-}
-#enddecl(ROTATE_INPLACE)
-
-#decl(NO_FF_FUNC)
-fn freq_factor(i: u32) -> f32 {
-    return 1.0f;
-}
-#enddecl(NO_FF_FUNC)
-
-#decl(FF_FUNC)
-fn freq_factor(i: u32) -> f32 {
-    return src2[params.offset_src2 + i/2];
-}
-#enddecl(FF_FUNC)
-
-#decl(NO_FF_BINDINGS)
-
-@group(0) @binding(2)
-var<storage, read_write> dst: array<{{TYPE}}>;
-
-@group(0) @binding(3)
-var<uniform> params: Params;
-
-#enddecl(NO_FF_BINDINGS)
-
-#decl(NO_FF_BINDINGS_INPLACE)
-
-@group(0) @binding(2)
-var<uniform> params: Params;
-
-#enddecl(NO_FF_BINDINGS_INPLACE)
-
-#decl(FF_BINDINGS)
-
-@group(0) @binding(2)
-var<storage, read_write> src2: array<f32>;
-
-@group(0) @binding(3)
-var<storage, read_write> dst: array<{{TYPE}}>;
-
-@group(0) @binding(4)
-var<uniform> params: Params;
-
-#enddecl(FF_BINDINGS)
-
-#decl(FF_BINDINGS_INPLACE)
-
-@group(0) @binding(2)
-var<storage, read_write> src2: array<f32>;
-
-@group(0) @binding(3)
-var<uniform> params: Params;
-
-#enddecl(FF_BINDINGS_INPLACE)
-
-#end(DECLS)
-
-#define(SHADER)
-
 enable f16;
 
+#ifdef TYPE_F32
+#define DataType f32
+#endif
+#ifdef TYPE_F16
+#define DataType f16
+#endif
+
 struct Params {
     offset_src0: u32,
     offset_src1: u32,
@@ -168,12 +42,69 @@ struct Params {
 };
 
 @group(0) @binding(0)
-var<storage, read_write> src0: array<{{TYPE}}>;
-
+var<storage, read_write> src0: array<DataType>;
 @group(0) @binding(1)
 var<storage, read_write> src1: array<i32>;
 
-DECLS
+#ifdef INPLACE
+
+#ifdef FF_FUNC
+
+@group(0) @binding(2)
+var<storage, read_write> src2: array<f32>;
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+#else
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+#endif
+
+#else
+
+#ifdef FF_FUNC
+@group(0) @binding(2)
+var<storage, read_write> src2: array<f32>;
+
+@group(0) @binding(3)
+var<storage, read_write> dst: array<DataType>;
+
+@group(0) @binding(4)
+var<uniform> params: Params;
+
+#else
+@group(0) @binding(2)
+var<storage, read_write> dst: array<DataType>;
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+#endif
+#endif
+
+#ifdef FF_FUNC
+fn freq_factor(i: u32) -> f32 {
+    return src2[params.offset_src2 + i/2];
+}
+
+#else
+fn freq_factor(i: u32) -> f32 {
+    return 1.0f;
+}
+#endif
+#ifdef INPLACE
+fn rotate(i_dst0: u32, i_dst1: u32, out0: f32, out1: f32) {
+    src0[i_dst0] = DataType(out0);
+    src0[i_dst1] = DataType(out1);
+}
+#else
+fn rotate(i_dst0: u32, i_dst1: u32, out0: f32, out1: f32) {
+    dst[i_dst0] = DataType(out0);
+    dst[i_dst1] = DataType(out1);
+}
+#endif
 
 fn rope_yarn_ramp(low: f32, high: f32, i: u32) -> f32 {
     let y = (f32(i / 2) - low) / max(0.001f, high - low);
@@ -184,7 +115,7 @@ fn rope_yarn_ramp(low: f32, high: f32, i: u32) -> f32 {
 // TODO: check performance of instantiating once on the CPU and passed as buffer, since it's repeated per-row
 fn rope_yarn(theta_extrap: f32, i: u32) -> vec2<f32> {
     var mscale = params.attn_factor;
-    var theta = params.freq_scale * theta_extrap;
+    var theta  = params.freq_scale * theta_extrap;
     if (params.ext_factor != 0.0f) {
         let ramp_mix = rope_yarn_ramp(params.corr_dim0, params.corr_dim1, i) * params.ext_factor;
         theta = theta * (1 - ramp_mix) + theta_extrap * ramp_mix;
@@ -211,10 +142,9 @@ fn pair_offset(is_neox: bool, is_mrope: bool, is_vision: bool) -> u32 {
     }
 }
 
-override wg_size: u32;
-@compute @workgroup_size(wg_size)
+@compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
-    // two elements per thread
+    // two elements per n_threads
     if (gid.x >= params.n_threads) {
         return;
     }
@@ -290,6 +220,5 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let x0 = f32(src0[i_src]);
     let x1 = f32(src0[i_src + pair_offset(is_neox, is_mrope, is_vision)]);
     rotate(i_dst, i_dst + pair_offset(is_neox, is_mrope, is_vision), x0 * thetas.x - x1 * thetas.y, x0 * thetas.y + x1 * thetas.x);
-}
 
-#end(SHADER)
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
similarity index 79%
rename from ggml/src/ggml-webgpu/wgsl-shaders/rms_norm.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
index 712b921f1abb99b8f44ade6e69a626af80951420..bd8d32bded755fb71bd5575d4649e8c77701e980 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
@@ -1,47 +1,21 @@
-#define(VARIANTS)
-
-[
-  {
-    "DECLS": ["NOT_INPLACE"]
-  },
-  {
-    "SHADER_SUFFIX": "inplace",
-    "DECLS": ["INPLACE"]
-  },
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(NOT_INPLACE)
-
+#ifdef INPLACE
 fn update(src_offset: u32, dst_offset: u32, scale: f32) {
-    dst[dst_offset] = scale * src[src_offset];
+    src[dst_offset] = scale * src[src_offset];
 }
 
 @group(0) @binding(1)
-var<storage, read_write> dst: array<f32>;
-
-@group(0) @binding(2)
 var<uniform> params: Params;
-
-#enddecl(NOT_INPLACE)
-
-#decl(INPLACE)
-
+#else
 fn update(src_offset: u32, dst_offset: u32, scale: f32) {
-    src[dst_offset] = scale * src[src_offset];
+    dst[dst_offset] = scale * src[src_offset];
 }
 
 @group(0) @binding(1)
-var<uniform> params: Params;
-
-#enddecl(INPLACE)
-
-#end(DECLS)
+var<storage, read_write> dst: array<f32>;
 
-#define(SHADER)
+@group(0) @binding(2)
+var<uniform> params: Params;
+#endif
 
 struct Params {
     offset_src: u32, // in elements
@@ -68,12 +42,9 @@ struct Params {
 @group(0) @binding(0)
 var<storage, read_write> src: array<f32>;
 
-DECLS
+var<workgroup> scratch: array<f32, WG_SIZE>;
 
-override wg_size: u32;
-var<workgroup> scratch: array<f32, wg_size>;
-
-@compute @workgroup_size(wg_size)
+@compute @workgroup_size(WG_SIZE)
 fn main(@builtin(workgroup_id) wid: vec3<u32>,
         @builtin(local_invocation_id) lid: vec3<u32>) {
 
@@ -86,7 +57,7 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
     let i_src_row = params.offset_src + i3 * params.stride_src3 + i2 * params.stride_src2 + i1 * params.stride_src1;
     let i_dst_row = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1;
 
-    let elems = (params.ne0 + wg_size - 1) / wg_size;
+    let elems = (params.ne0 + WG_SIZE - 1) / WG_SIZE;
 
     var sum = 0.0f;
     var col = lid.x;
@@ -95,12 +66,12 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
             break;
         }
         sum += pow(src[i_src_row + col], 2.0);
-        col += wg_size;
+        col += WG_SIZE;
     }
 
     scratch[lid.x] = sum;
     workgroupBarrier();
-    var offset = wg_size / 2;
+    var offset: u32 = WG_SIZE / 2;
     while (offset > 0) {
         if (lid.x < offset) {
             scratch[lid.x] += scratch[lid.x + offset];
@@ -110,14 +81,18 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
     }
     sum = scratch[0];
 
+#ifdef RMS_NORM
     let scale = 1.0/sqrt(sum/f32(params.ne0) + params.eps);
+#elif defined(L2_NORM)
+    let scale = 1.0/max(sqrt(sum), params.eps);
+#endif
+
     col = lid.x;
     for (var j: u32 = 0; j < elems; j++) {
         if (col >= params.ne0) {
             break;
         }
         update(i_src_row + col, i_dst_row + col, scale);
-        col += wg_size;
+        col += WG_SIZE;
     }
 }
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/set.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/set.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..0a7ae9bdb2cd5016f5d9d2ec6b30666ea5e43cf6
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/set.wgsl
@@ -0,0 +1,109 @@
+#ifdef TYPE_I32
+#define TYPE i32
+#else
+#define TYPE f32
+#endif
+
+#ifndef INPLACE
+@group(0) @binding(0)
+var<storage, read_write> src0: array<TYPE>;
+#define SRC1_BINDING 1
+#else
+#define SRC1_BINDING 0
+#endif
+
+#define DST_BINDING SRC1_BINDING + 1
+#define PARAMS_BINDING SRC1_BINDING + 2
+
+@group(0) @binding(SRC1_BINDING)
+var<storage, read_write> src1: array<TYPE>;
+
+@group(0) @binding(DST_BINDING)
+var<storage, read_write> dst: array<TYPE>;
+
+struct Params {
+    ne: u32,
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_view: u32,
+
+    stride_src10: u32,
+    stride_src11: u32,
+    stride_src12: u32,
+    stride_src13: u32,
+
+    stride_dst10: u32,
+    stride_dst11: u32,
+    stride_dst12: u32,
+    stride_dst13: u32,
+
+    src1_ne0: u32,
+    src1_ne1: u32,
+    src1_ne2: u32,
+    src1_ne3: u32,
+};
+
+@group(0) @binding(PARAMS_BINDING)
+var<uniform> params: Params;
+
+fn decode_src1_coords(idx: u32) -> vec4<u32> {
+    var i = idx;
+    let plane = params.src1_ne2 * params.src1_ne1 * params.src1_ne0;
+    let i3 = i / plane;
+    i = i % plane;
+    let row = params.src1_ne1 * params.src1_ne0;
+    let i2 = i / row;
+    i = i % row;
+    let i1 = i / params.src1_ne0;
+    let i0 = i % params.src1_ne0;
+    return vec4<u32>(i0, i1, i2, i3);
+}
+
+fn decode_view_coords(rel: u32) -> vec4<u32> {
+    let i3 = rel / params.stride_dst13;
+    let rem3 = rel % params.stride_dst13;
+    let i2 = rem3 / params.stride_dst12;
+    let rem2 = rem3 % params.stride_dst12;
+    let i1 = rem2 / params.stride_dst11;
+    let i0 = rem2 % params.stride_dst11;
+    return vec4<u32>(i0, i1, i2, i3);
+}
+
+fn view_rel_from_coords(coords: vec4<u32>) -> u32 {
+    return coords.x * params.stride_dst10 + coords.y * params.stride_dst11 +
+           coords.z * params.stride_dst12 + coords.w * params.stride_dst13;
+}
+
+fn src1_idx_from_coords(coords: vec4<u32>) -> u32 {
+    return coords.x * params.stride_src10 + coords.y * params.stride_src11 +
+           coords.z * params.stride_src12 + coords.w * params.stride_src13;
+}
+
+fn in_set_view(rel: u32, coords: vec4<u32>) -> bool {
+    return view_rel_from_coords(coords) == rel;
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
+    if (gid.x >= params.ne) {
+        return;
+    }
+
+#ifdef INPLACE
+    let coords = decode_src1_coords(gid.x);
+
+    let src1_idx = params.offset_src1 + src1_idx_from_coords(coords);
+    let dst_idx = params.offset_view + view_rel_from_coords(coords);
+
+    dst[dst_idx] = src1[src1_idx];
+#else
+    let rel = select(params.ne, gid.x - params.offset_view, gid.x >= params.offset_view);
+    let coords = decode_view_coords(rel);
+
+    if (rel < params.stride_dst13 * params.src1_ne3 && in_set_view(rel, coords)) {
+        dst[gid.x] = src1[params.offset_src1 + src1_idx_from_coords(coords)];
+    } else {
+        dst[gid.x] = src0[params.offset_src0 + gid.x];
+    }
+#endif
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/soft_max.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/soft_max.wgsl
similarity index 59%
rename from ggml/src/ggml-webgpu/wgsl-shaders/soft_max.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/soft_max.wgsl
index c74dc4cc9238ab8abf1135bc8bdc28fe333645d7..10edf1360489f4a50516be2a52507bf89012b8ea 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/soft_max.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/soft_max.wgsl
@@ -1,262 +1,162 @@
-#define(VARIANTS)
-[
-  {
-    "SHADER_NAME": "soft_max_f32",
-    "DECLS": ["BASE_BINDINGS", "NOT_INPLACE", "NO_MASK", "NO_SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_inplace",
-    "DECLS": ["BASE_BINDINGS_INPLACE", "INPLACE", "NO_MASK", "NO_SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_sink",
-    "DECLS": ["SINK_BINDINGS", "NOT_INPLACE", "NO_MASK", "SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_sink_inplace",
-    "DECLS": ["SINK_BINDINGS_INPLACE", "INPLACE", "NO_MASK", "SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f32",
-    "REPLS": {
-      "MASK_TYPE" : "f32",
-    },
-    "DECLS": ["MASK_BINDINGS", "NOT_INPLACE", "MASK", "NO_SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f32_inplace",
-    "REPLS": {
-      "MASK_TYPE" : "f32",
-    },
-    "DECLS": ["MASK_BINDINGS_INPLACE", "INPLACE", "MASK", "NO_SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f16",
-    "REPLS": {
-      "MASK_TYPE" : "f16",
-    },
-    "DECLS": ["MASK_BINDINGS", "NOT_INPLACE", "MASK", "NO_SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f16_inplace",
-    "REPLS": {
-      "MASK_TYPE" : "f16",
-    },
-    "DECLS": ["MASK_BINDINGS_INPLACE", "INPLACE", "MASK", "NO_SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f32_sink",
-    "REPLS": {
-      "MASK_TYPE" : "f32",
-    },
-    "DECLS": ["MASK_SINK_BINDINGS", "NOT_INPLACE", "MASK", "SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f32_sink_inplace",
-    "REPLS": {
-      "MASK_TYPE" : "f32",
-    },
-    "DECLS": ["MASK_SINK_BINDINGS_INPLACE", "INPLACE", "MASK", "SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f16_sink",
-    "REPLS": {
-      "MASK_TYPE" : "f16",
-    },
-    "DECLS": ["MASK_SINK_BINDINGS", "NOT_INPLACE", "MASK", "SINK"]
-  },
-  {
-    "SHADER_NAME": "soft_max_f32_mask_f16_sink_inplace",
-    "REPLS": {
-      "MASK_TYPE" : "f16",
-    },
-    "DECLS": ["MASK_SINK_BINDINGS_INPLACE", "INPLACE", "MASK", "SINK"]
-  }
-]
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(BASE_BINDINGS)
-@group(0) @binding(1)
-var<storage, read_write> dst: array<f32>;
+enable f16;
 
-@group(0) @binding(2)
-var<uniform> params: Params;
-#enddecl(BASE_BINDINGS)
+#ifdef MASK_F32
+#define MaskType f32
+#endif
+#ifdef MASK_F16
+#define MaskType f16
+#endif
 
-#decl(BASE_BINDINGS_INPLACE)
-@group(0) @binding(1)
-var<uniform> params: Params;
-#enddecl(BASE_BINDINGS_INPLACE)
+struct Params {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_sinks: u32,
+    offset_dst: u32,
+
+    // Strides (in elements)
+    stride_src01: u32,
+    stride_src02: u32,
+    stride_src03: u32,
+
+    stride_src11: u32,
+    stride_src12: u32,
+    stride_src13: u32,
+
+    stride_dst1: u32,
+    stride_dst2: u32,
+    stride_dst3: u32,
+
+    // shape of src0/dst
+    ne: u32,
+    ne0: u32,
+    ne1: u32,
+    ne2: u32,
 
-#decl(SINK_BINDINGS)
+    // shape of src1
+    ne12: u32,
+    ne13: u32,
+
+    scale: f32,
+    max_bias: f32,
+    n_head_log2: f32,
+    m0: f32,
+    m1: f32,
+};
+
+@group(0) @binding(0)
+var<storage, read_write> src: array<f32>;
+
+#ifdef HAS_MASK
+#ifdef HAS_SINK
 @group(0) @binding(1)
+var<storage, read_write> mask: array<MaskType>;
+@group(0) @binding(2)
 var<storage, read_write> sinks: array<f32>;
 
-@group(0) @binding(2)
-var<storage, read_write> dst: array<f32>;
+#ifdef INPLACE
+@group(0) @binding(3)
+var<uniform> params: Params;
 
+#else
 @group(0) @binding(3)
+var<storage, read_write> dst: array<f32>;
+@group(0) @binding(4)
 var<uniform> params: Params;
-#enddecl(SINK_BINDINGS)
+#endif
 
-#decl(SINK_BINDINGS_INPLACE)
+#else
 @group(0) @binding(1)
-var<storage, read_write> sinks: array<f32>;
+var<storage, read_write> mask: array<MaskType>;
 
+#ifdef INPLACE
 @group(0) @binding(2)
 var<uniform> params: Params;
-#enddecl(SINK_BINDINGS_INPLACE)
-
-#decl(MASK_BINDINGS)
-@group(0) @binding(1)
-var<storage, read_write> mask: array<{{MASK_TYPE}}>;
 
+#else
 @group(0) @binding(2)
 var<storage, read_write> dst: array<f32>;
-
 @group(0) @binding(3)
 var<uniform> params: Params;
-#enddecl(MASK_BINDINGS)
+#endif
+#endif
 
-#decl(MASK_BINDINGS_INPLACE)
+#else
+#ifdef HAS_SINK
 @group(0) @binding(1)
-var<storage, read_write> mask: array<{{MASK_TYPE}}>;
+var<storage, read_write> sinks: array<f32>;
 
+#ifdef INPLACE
 @group(0) @binding(2)
 var<uniform> params: Params;
-#enddecl(MASK_BINDINGS_INPLACE)
-
-#decl(MASK_SINK_BINDINGS)
-@group(0) @binding(1)
-var<storage, read_write> mask: array<{{MASK_TYPE}}>;
 
+#else
 @group(0) @binding(2)
-var<storage, read_write> sinks: array<f32>;
-
-@group(0) @binding(3)
 var<storage, read_write> dst: array<f32>;
-
-@group(0) @binding(4)
+@group(0) @binding(3)
 var<uniform> params: Params;
-#enddecl(MASK_SINK_BINDINGS)
+#endif
 
-#decl(MASK_SINK_BINDINGS_INPLACE)
+#else
+#ifdef INPLACE
 @group(0) @binding(1)
-var<storage, read_write> mask: array<{{MASK_TYPE}}>;
-
+var<uniform> params: Params;
+#else
+@group(0) @binding(1)
+var<storage, read_write> dst: array<f32>;
 @group(0) @binding(2)
-var<storage, read_write> sinks: array<f32>;
-
-@group(0) @binding(3)
 var<uniform> params: Params;
-#enddecl(MASK_SINK_BINDINGS_INPLACE)
+#endif
+#endif
+#endif
 
-#decl(NOT_INPLACE)
+#ifdef INPLACE
 fn inter_value(i: u32) -> f32 {
-    return dst[i];
+    return src[i];
 }
-
 fn update(i: u32, val: f32) {
-    dst[i] = val;
+    src[i] = val;
 }
-#enddecl(NOT_INPLACE)
 
-#decl(INPLACE)
+#else
 fn inter_value(i: u32) -> f32 {
-    return src[i];
+    return dst[i];
 }
-
 fn update(i: u32, val: f32) {
-    src[i] = val;
+    dst[i] = val;
 }
-#enddecl(INPLACE)
+#endif
 
-#decl(NO_MASK)
+#ifdef HAS_MASK
 fn mask_val(i: u32) -> f32 {
-    return 0.0;
+    return f32(mask[i]);
 }
-#enddecl(NO_MASK)
 
-#decl(MASK)
+#else
 fn mask_val(i: u32) -> f32 {
-    return f32(mask[i]);
+    return 0.0;
 }
-#enddecl(MASK)
+#endif
 
-#decl(NO_SINK)
+#ifdef HAS_SINK
 fn lower_max_bound(i2: u32) -> f32 {
-    return -1e30;
+    return sinks[params.offset_sinks + i2];
 }
-
 fn add_sinks(val: f32, i2: u32, max_val: f32) -> f32 {
-    return val;
+    return val + exp(sinks[params.offset_sinks + i2] - max_val);
 }
-#enddecl(NO_SINK)
-
-#decl(SINK)
+#else
 fn lower_max_bound(i2: u32) -> f32 {
-    return sinks[params.offset_sinks + i2];
+    return -1e30;
 }
-
 fn add_sinks(val: f32, i2: u32, max_val: f32) -> f32 {
-    return val + exp(sinks[params.offset_sinks + i2] - max_val);
+    return val;
 }
-#enddecl(SINK)
-
-#end(DECLS)
-
-#define(SHADER)
-enable f16;
-
-struct Params {
-    offset_src0: u32,
-    offset_src1: u32,
-    offset_sinks: u32,
-    offset_dst: u32,
-
-    // Strides (in elements)
-    stride_src01: u32,
-    stride_src02: u32,
-    stride_src03: u32,
-
-    stride_src11: u32,
-    stride_src12: u32,
-    stride_src13: u32,
-
-    stride_dst1: u32,
-    stride_dst2: u32,
-    stride_dst3: u32,
-
-    // shape of src0/dst
-    ne: u32,
-    ne0: u32,
-    ne1: u32,
-    ne2: u32,
-
-    // shape of src1
-    ne12: u32,
-    ne13: u32,
-
-    scale: f32,
-    max_bias: f32,
-    n_head_log2: f32,
-    m0: f32,
-    m1: f32,
-};
-
-@group(0) @binding(0)
-var<storage, read_write> src: array<f32>;
-
-DECLS
+#endif
 
 const CACHE_SIZE: u32 = 16;
+var<workgroup> scratch: array<f32, WG_SIZE>;
 
-override wg_size: u32;
-var<workgroup> scratch: array<f32, wg_size>;
-
-@compute @workgroup_size(wg_size)
+@compute @workgroup_size(WG_SIZE)
 fn main(@builtin(workgroup_id) wid: vec3<u32>,
         @builtin(local_invocation_id) lid: vec3<u32>) {
 
@@ -268,7 +168,7 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
     let i_src0_row = params.offset_src0 + i3 * params.stride_src03 + i2 * params.stride_src02 + i1 * params.stride_src01;
     let i_src1_row = params.offset_src1 + (i3 % params.ne13) * params.stride_src13 + (i2 % params.ne12) * params.stride_src12 + i1 * params.stride_src11;
     let i_dst_row = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1;
-    let elems = (params.ne0 + wg_size - 1) / wg_size;
+    let elems = (params.ne0 + WG_SIZE - 1) / WG_SIZE;
 
     let head = f32(i2);
     let slope = select(1, select(pow(params.m1, 2 * (head - params.n_head_log2) + 1), pow(params.m0, head + 1), head < params.n_head_log2), params.max_bias > 0);
@@ -286,12 +186,12 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
         if (col < CACHE_SIZE) {
             cache[col] = val;
         }
-        col += wg_size;
+        col += WG_SIZE;
     }
 
     scratch[lid.x] = max_val;
     workgroupBarrier();
-    var offset = wg_size / 2;
+    var offset: u32 = WG_SIZE / 2;
     while (offset > 0) {
         if (lid.x < offset) {
             scratch[lid.x] = max(scratch[lid.x], scratch[lid.x + offset]);
@@ -317,12 +217,12 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
         } else {
             update(i_dst_row + col, ex);
         }
-        col += wg_size;
+        col += WG_SIZE;
     }
 
     scratch[lid.x] = sum;
     workgroupBarrier();
-    offset = wg_size / 2;
+    offset = WG_SIZE / 2;
     while (offset > 0) {
         if (lid.x < offset) {
             scratch[lid.x] += scratch[lid.x + offset];
@@ -339,7 +239,7 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
             break;
         }
         update(i_dst_row + col, select(inter_value(i_dst_row + col), cache[col], col < CACHE_SIZE) * sum_recip);
-        col += wg_size;
+        col += WG_SIZE;
     }
 }
-#end(SHADER)
+
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/solve_tri.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/solve_tri.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..9d5d902cb1e240ed077ebfc9282478b722890f5f
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/solve_tri.wgsl
@@ -0,0 +1,121 @@
+@group(0) @binding(0)
+var<storage, read_write> src0: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> src1: array<f32>;
+
+@group(0) @binding(2)
+var<storage, read_write> dst: array<f32>;
+
+struct Params {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+
+    stride_src00: u32,
+    stride_src01: u32,
+    stride_src02: u32,
+    stride_src03: u32,
+
+    stride_src10: u32,
+    stride_src11: u32,
+    stride_src12: u32,
+    stride_src13: u32,
+
+    stride_dst0: u32,
+    stride_dst1: u32,
+    stride_dst2: u32,
+    stride_dst3: u32,
+
+    k: u32,
+    ne2: u32,
+    ne3: u32,
+};
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+var<workgroup> shA: array<f32, BATCH_N * N>;
+var<workgroup> shB: array<f32, BATCH_N * K_TILE>;
+
+fn src0_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 {
+    return params.offset_src0 +
+           col * params.stride_src00 +
+           row * params.stride_src01 +
+           i2 * params.stride_src02 +
+           i3 * params.stride_src03;
+}
+
+fn src1_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 {
+    return params.offset_src1 +
+           col * params.stride_src10 +
+           row * params.stride_src11 +
+           i2 * params.stride_src12 +
+           i3 * params.stride_src13;
+}
+
+fn dst_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 {
+    return params.offset_dst +
+           col * params.stride_dst0 +
+           row * params.stride_dst1 +
+           i2 * params.stride_dst2 +
+           i3 * params.stride_dst3;
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(workgroup_id) workgroup_id: vec3<u32>,
+    @builtin(local_invocation_id) local_id: vec3<u32>
+) {
+    let batch = workgroup_id.y;
+    let col = workgroup_id.x * WG_SIZE + local_id.x;
+    let i3 = batch / params.ne2;
+    let i2 = batch % params.ne2;
+    let active_lane = local_id.x < K_TILE;
+    let active_col = active_lane && col < params.k;
+
+    var X: array<f32, N>;
+
+    for (var row_base = 0u; row_base < N; row_base += BATCH_N) {
+        let cur_n = min(BATCH_N, N - row_base);
+
+        for (var i = local_id.x; i < cur_n * N; i += WG_SIZE) {
+            let tile_row = i / N;
+            let tile_col = i % N;
+            shA[i] = src0[src0_idx(row_base + tile_row, tile_col, i2, i3)];
+        }
+
+        for (var i = local_id.x; i < cur_n * K_TILE; i += WG_SIZE) {
+            let tile_row = i / K_TILE;
+            let tile_col = i % K_TILE;
+            let global_col = workgroup_id.x * WG_SIZE + tile_col;
+            let sh_idx = tile_row * K_TILE + tile_col;
+
+            if (global_col < params.k) {
+                shB[sh_idx] = src1[src1_idx(row_base + tile_row, global_col, i2, i3)];
+            } else {
+                shB[sh_idx] = 0.0;
+            }
+        }
+
+        workgroupBarrier();
+
+        if (active_col) {
+            for (var row_offset = 0u; row_offset < cur_n; row_offset++) {
+                let r = row_base + row_offset;
+                var b = shB[row_offset * K_TILE + local_id.x];
+                let a_row = row_offset * N;
+
+                for (var t = 0u; t < r; t++) {
+                    b -= shA[a_row + t] * X[t];
+                }
+
+                let x = b / shA[a_row + r];
+                X[r] = x;
+                dst[dst_idx(r, col, i2, i3)] = x;
+            }
+        }
+
+        workgroupBarrier();
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/ssm_conv.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/ssm_conv.wgsl
new file mode 100644
index 0000000000000000000000000000000000000000..11511305ed83cabdf51073500cb08b85a088f759
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/ssm_conv.wgsl
@@ -0,0 +1,65 @@
+@group(0) @binding(0)
+var<storage, read_write> src0: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> src1: array<f32>;
+
+@group(0) @binding(2)
+var<storage, read_write> dst: array<f32>;
+
+struct Params {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+
+    stride_src01: u32,
+    stride_src02: u32,
+    stride_src11: u32,
+
+    stride_dst0: u32,
+    stride_dst1: u32,
+    stride_dst2: u32,
+
+    nc: u32,
+    nr: u32,
+    n_t: u32,
+    n_s: u32,
+    token_tiles: u32,
+};
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+@compute @workgroup_size(BLOCK_SIZE, TOKENS_PER_WG)
+fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
+    let i1 = gid.x;
+    let tile_y = gid.y / TOKENS_PER_WG;
+    let local_token = gid.y % TOKENS_PER_WG;
+    let i3 = tile_y / params.token_tiles;
+    let token_tile = tile_y % params.token_tiles;
+    let i2 = token_tile * TOKENS_PER_WG + local_token;
+
+    if (i1 >= params.nr || i2 >= params.n_t || i3 >= params.n_s) {
+        return;
+    }
+
+    let src0_base = params.offset_src0 + i3 * params.stride_src02 + i2 + i1 * params.stride_src01;
+    let src1_base = params.offset_src1 + i1 * params.stride_src11;
+
+    var sum = 0.0;
+
+#ifdef VECTORIZED
+    sum =
+        src0[src0_base + 0u] * src1[src1_base + 0u] +
+        src0[src0_base + 1u] * src1[src1_base + 1u] +
+        src0[src0_base + 2u] * src1[src1_base + 2u] +
+        src0[src0_base + 3u] * src1[src1_base + 3u];
+#else
+    for (var i0 = 0u; i0 < params.nc; i0++) {
+        sum += src0[src0_base + i0] * src1[src1_base + i0];
+    }
+#endif
+
+    let dst_idx = params.offset_dst + i3 * params.stride_dst2 + i2 * params.stride_dst1 + i1 * params.stride_dst0;
+    dst[dst_idx] = sum;
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
index feaf6d0ac292d3b32f68679b70befef4500c04fe..b8f1bca1284edf06fa9347d9a6284c5e902595a7 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
@@ -5,7 +5,6 @@ enable f16;
 #define TYPE f32
 #endif
 
-
 @group(0) @binding(0)
 var<storage, read_write> src: array<TYPE>;
 
@@ -57,12 +56,20 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
       return;
     }
     var i = gid.x;
-    let i3 = i / (params.ne2 * params.ne1 * params.ne0);
-    i = i % (params.ne2 * params.ne1 * params.ne0);
-    let i2 = i / (params.ne1 * params.ne0);
-    i = i % (params.ne1 * params.ne0);
-    let i1 = i / params.ne0;
-    let i0 = i % params.ne0;
+    let ne2 = params.ne2;
+#ifdef DIAG
+    let ne1 = params.ne0;
+#else
+    let ne1 = params.ne1;
+#endif
+    let ne0 = params.ne0;
+
+    let i3 = i / (ne2 * ne1 * ne0);
+    i = i % (ne2 * ne1 * ne0);
+    let i2 = i / (ne1 * ne0);
+    i = i % (ne1 * ne0);
+    let i1 = i / ne0;
+    let i0 = i % ne0;
 
     let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 +
                   i2 * params.stride_src2 + i3 * params.stride_src3;
@@ -100,7 +107,8 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let res = src[params.offset_src + src_idx] / (1.0 + exp(-src[params.offset_src + src_idx]));
 #endif
 #ifdef EXP
-    let res = exp(src[params.offset_src + src_idx]);
+    let src_f32 = f32(src[params.offset_src + src_idx]);
+    let res = TYPE(exp(src_f32));
 #endif
 #ifdef LOG
     let res = TYPE(log(f32(src[params.offset_src + src_idx])));
@@ -139,22 +147,20 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
                                -9.010913, 9.010913)));
 #endif
 #ifdef XIELU
+    let val = f32(src[params.offset_src + src_idx]);
     let res =
-        select(((exp(min(src[params.offset_src + src_idx], TYPE(params.eps))) - 1.0) -
-                src[params.offset_src + src_idx]) *
-                   TYPE(params.alpha_n) +
-               TYPE(params.beta) * src[params.offset_src + src_idx],
-               TYPE(params.alpha_p) * src[params.offset_src + src_idx] *
-                   src[params.offset_src + src_idx] +
-                   TYPE(params.beta) * src[params.offset_src + src_idx],
-               src[params.offset_src + src_idx] > 0.0);
+        TYPE(select(
+            ((exp(min(val, params.eps)) - 1.0) - val) * params.alpha_n + params.beta * val,
+            params.alpha_p * val * val + params.beta * val,
+            val > 0.0));
 #endif
 #ifdef SOFTPLUS
     let src_f32 = f32(src[params.offset_src + src_idx]);
     let res = TYPE(select(log(1.0 + exp(src_f32)), src_f32, src_f32 > 20.0));
 #endif
 #ifdef EXPM1
-    let res = exp(src[params.offset_src + src_idx]) - 1.0;
+    let src_f32 = f32(src[params.offset_src + src_idx]);
+    let res = TYPE(exp(src_f32) - 1.0);
 #endif
 #ifdef FLOOR
     let res = floor(src[params.offset_src + src_idx]);
@@ -174,7 +180,7 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let res = src[params.offset_src + src_idx] * src[params.offset_src + src_idx];
 #endif
 #ifdef SQRT
-    let res = sqrt(src[params.offset_src + src_idx]);
+    let res = TYPE(sqrt(f32(src[params.offset_src + src_idx])));
 #endif
 #ifdef SIN
     let res_f32 = sin(f32(src[params.offset_src + src_idx]));
@@ -184,6 +190,20 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let res_f32 = cos(f32(src[params.offset_src + src_idx]));
     let res = TYPE(res_f32);
 #endif
+#ifdef DIAG
+    let res = select(0.0, src[params.offset_src + i0 + i2 * params.stride_src2 + i3 * params.stride_src3], i0 == i1);
+#endif
+#ifdef TRI
+#ifdef TRI_TYPE_LOWER
+    let res = select(0.0, src[params.offset_src + src_idx], i0 < i1);
+#elif TRI_TYPE_LOWER_DIAG
+    let res = select(0.0, src[params.offset_src + src_idx], i0 <= i1);
+#elif TRI_TYPE_UPPER
+    let res = select(0.0, src[params.offset_src + src_idx], i0 > i1);
+#elif TRI_TYPE_UPPER_DIAG
+    let res = select(0.0, src[params.offset_src + src_idx], i0 >= i1);
+#endif
+#endif
 
 #ifdef INPLACE
     src[params.offset_src + src_idx] = res;
diff --git a/ggml/src/ggml-zdnn/ggml-zdnn.cpp b/ggml/src/ggml-zdnn/ggml-zdnn.cpp
index 9b6938abf7e1c054c0914d663c9c6d6473926a1a..e6b6fc24fd742ab541e78519b8af92c23fc37375 100644
--- a/ggml/src/ggml-zdnn/ggml-zdnn.cpp
+++ b/ggml/src/ggml-zdnn/ggml-zdnn.cpp
@@ -313,6 +313,8 @@ static ggml_backend_buffer_i ggml_backend_zdnn_buffer_i = {
     /* .memset_tensor = */ ggml_backend_zdnn_buffer_memset_tensor,
     /* .set_tensor    = */ ggml_backend_zdnn_buffer_set_tensor,
     /* .get_tensor    = */ ggml_backend_zdnn_buffer_get_tensor,
+    /* .set_tensor_2d = */ NULL,
+    /* .get_tensor_2d = */ NULL,
     /* .cpy_tensor    = */ NULL,
     /* .clear         = */ ggml_backend_zdnn_buffer_clear,
     /* .reset         = */ NULL,
@@ -417,20 +419,22 @@ static enum ggml_status ggml_backend_zdnn_graph_compute(ggml_backend_t backend,
 }
 
 static ggml_backend_i ggml_backend_zdnn_i = {
-    /* .get_name           = */ ggml_backend_zdnn_name,
-    /* .free               = */ ggml_backend_zdnn_free,
-    /* .set_tensor_async   = */ NULL,
-    /* .get_tensor_async   = */ NULL,
-    /* .cpy_tensor_async   = */ NULL,
-    /* .synchronize        = */ NULL,
-    /* .graph_plan_create  = */ NULL,
-    /* .graph_plan_free    = */ NULL,
-    /* .graph_plan_update  = */ NULL,
-    /* .graph_plan_compute = */ NULL,
-    /* .graph_compute      = */ ggml_backend_zdnn_graph_compute,
-    /* .event_record       = */ NULL,
-    /* .event_wait         = */ NULL,
-    /* .graph_optimize     = */ NULL,
+    /* .get_name               = */ ggml_backend_zdnn_name,
+    /* .free                   = */ ggml_backend_zdnn_free,
+    /* .set_tensor_async       = */ NULL,
+    /* .get_tensor_async       = */ NULL,
+    /* .get_tensor_2d_async    = */ NULL,
+    /* .set_tensor_2d_async    = */ NULL,
+    /* .cpy_tensor_async       = */ NULL,
+    /* .synchronize            = */ NULL,
+    /* .graph_plan_create      = */ NULL,
+    /* .graph_plan_free        = */ NULL,
+    /* .graph_plan_update      = */ NULL,
+    /* .graph_plan_compute     = */ NULL,
+    /* .graph_compute          = */ ggml_backend_zdnn_graph_compute,
+    /* .event_record           = */ NULL,
+    /* .event_wait             = */ NULL,
+    /* .graph_optimize         = */ NULL,
 };
 
 static ggml_guid_t ggml_backend_zdnn_guid(void) {
diff --git a/ggml/src/ggml-zendnn/CMakeLists.txt b/ggml/src/ggml-zendnn/CMakeLists.txt
index 9bdb4e836d326f28ac147869d8019edc4e2c990a..55233264180b91c3d20c93b5450b1ba7f532fea6 100644
--- a/ggml/src/ggml-zendnn/CMakeLists.txt
+++ b/ggml/src/ggml-zendnn/CMakeLists.txt
@@ -1,91 +1,3 @@
-ggml_add_backend_library(ggml-zendnn
-                         ggml-zendnn.cpp)
-
-if (NOT DEFINED ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "")
-    set(ZENDNN_ROOT "$ENV{ZENDNN_ROOT}")
-endif()
-
-if (BUILD_SHARED_LIBS)
-    set(ZENDNN_SHARED_LIB ON)
-    set(ZENDNN_ARCHIVE_LIB OFF)
-else()
-    set(ZENDNN_SHARED_LIB OFF)
-    set(ZENDNN_ARCHIVE_LIB ON)
-endif()
-
-# Download and build ZenDNN if not provided
-if (NOT ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "" OR ZENDNN_ROOT STREQUAL "OFF")
-    message(STATUS "ZENDNN_ROOT not set. Automatically downloading and building ZenDNN...")
-    message(STATUS "This will take several minutes on first build...")
-
-    include(ExternalProject)
-
-    set(ZENDNN_PREFIX      ${CMAKE_BINARY_DIR}/_deps/zendnn-prefix)
-    set(ZENDNN_SOURCE_DIR  ${ZENDNN_PREFIX}/src/zendnn)
-    set(ZENDNN_BUILD_DIR   ${ZENDNN_PREFIX}/build)
-    set(ZENDNN_INSTALL_DIR ${ZENDNN_BUILD_DIR}/install)
-
-    ExternalProject_Add(
-        zendnn
-        GIT_REPOSITORY https://github.com/amd/ZenDNN.git
-        GIT_TAG a18adf8c605fb5f5e52cefd7eda08a7b18febbaf    # ZenDNN-2026-WW08
-        PREFIX      ${ZENDNN_PREFIX}
-        SOURCE_DIR  ${ZENDNN_SOURCE_DIR}
-        BINARY_DIR  ${ZENDNN_BUILD_DIR}
-        CMAKE_ARGS
-            -DCMAKE_BUILD_TYPE=Release
-            -DCMAKE_INSTALL_PREFIX=${ZENDNN_INSTALL_DIR}
-            -DZENDNNL_BUILD_EXAMPLES=OFF
-            -DZENDNNL_BUILD_DOXYGEN=OFF
-            -DZENDNNL_BUILD_GTEST=OFF
-            -DZENDNNL_BUILD_BENCHDNN=OFF
-            -DZENDNNL_DEPENDS_FBGEMM=OFF
-            -DZENDNNL_LIB_BUILD_ARCHIVE=${ZENDNN_ARCHIVE_LIB}
-            -DZENDNNL_LIB_BUILD_SHARED=${ZENDNN_SHARED_LIB}
-            -DZENDNNL_DEPENDS_AOCLDLP=ON
-            -DZENDNNL_DEPENDS_ONEDNN=ON
-            -DZENDNNL_DEPENDS_LIBXSMM=ON
-        BUILD_COMMAND   ${CMAKE_COMMAND} --build ${ZENDNN_BUILD_DIR} --target zendnnl
-        INSTALL_COMMAND ${CMAKE_COMMAND} --build ${ZENDNN_BUILD_DIR} --target install
-        BUILD_ALWAYS OFF
-        LOG_DOWNLOAD ON
-        LOG_CONFIGURE ON
-        LOG_BUILD ON
-        LOG_INSTALL ON
-    )
-
-    add_dependencies(ggml-zendnn zendnn)
-    set(ZENDNN_ROOT ${ZENDNN_INSTALL_DIR})
-    message(STATUS "ZenDNN will be built to: ${ZENDNN_ROOT}")
-else()
-    message(STATUS "Using custom ZenDNN installation at: ${ZENDNN_ROOT}")
-endif()
-
-target_include_directories(ggml-zendnn PRIVATE
-    ${ZENDNN_ROOT}/zendnnl/include
-    ${ZENDNN_ROOT}/deps/json/include
-    ${ZENDNN_ROOT}/deps/aoclutils/include
-    ${ZENDNN_ROOT}/deps/aocldlp/include
-    ${ZENDNN_ROOT}/deps/onednn/include
-    ${ZENDNN_ROOT}/deps/libxsmm/include)
-
-if (ZENDNN_SHARED_LIB)
-    target_link_directories(ggml-zendnn PRIVATE ${ZENDNN_ROOT}/zendnnl/lib)
-    target_link_libraries(ggml-zendnn PRIVATE zendnnl)
-elseif (ZENDNN_ARCHIVE_LIB)
-    target_link_libraries(ggml-zendnn PRIVATE
-        ${ZENDNN_ROOT}/zendnnl/lib/libzendnnl_archive.a
-        ${ZENDNN_ROOT}/deps/aoclutils/${CMAKE_INSTALL_LIBDIR}/libaoclutils.a
-        ${ZENDNN_ROOT}/deps/aoclutils/${CMAKE_INSTALL_LIBDIR}/libau_cpuid.a
-        ${ZENDNN_ROOT}/deps/aocldlp/lib/libaocl-dlp.a
-        ${ZENDNN_ROOT}/deps/onednn/${CMAKE_INSTALL_LIBDIR}/libdnnl.a
-        ${ZENDNN_ROOT}/deps/libxsmm/lib/libxsmm.a
-        ${ZENDNN_ROOT}/deps/libxsmm/lib/libxsmmext.a
-        ${ZENDNN_ROOT}/deps/libxsmm/lib/libxsmmnoblas.a)
-endif()
-
-target_link_libraries(ggml-zendnn PRIVATE m pthread)
-
-if (GGML_OPENMP)
-    target_link_libraries(ggml-zendnn PRIVATE OpenMP::OpenMP_CXX)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c5b01b2904e5aa3872a956d5a012f5ea5005266fda34baf89a33ebe359b4b6a
+size 3531
diff --git a/ggml/src/ggml-zendnn/ggml-zendnn.cpp b/ggml/src/ggml-zendnn/ggml-zendnn.cpp
index c8760304008de2385fb37c01e02bfca451c94715..fc1df4dbef4fd11e77a79aa59da145a1b569a996 100644
--- a/ggml/src/ggml-zendnn/ggml-zendnn.cpp
+++ b/ggml/src/ggml-zendnn/ggml-zendnn.cpp
@@ -190,6 +190,170 @@ static void ggml_zendnn_compute_forward_mul_mat(
     }
 }
 
+struct mmid_row_mapping {
+    int32_t i1;
+    int32_t i2;
+};
+
+static void ggml_zendnn_compute_forward_mul_mat_id(
+    ggml_backend_zendnn_context * ctx,
+    ggml_tensor * dst) {
+
+    const ggml_tensor * src0 = dst->src[0];  // expert weights
+    const ggml_tensor * src1 = dst->src[1];  // inputs
+    const ggml_tensor * ids  = dst->src[2];  // expert ids
+
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    // exit for no tokens to process
+    if (ne2 == 0 || ne11 == 0) {
+        return;
+    }
+
+    ggml_type         const vec_dot_type = src0->type;
+    ggml_from_float_t const from_float = ggml_get_type_traits(vec_dot_type)->from_float_ref;
+
+    // we don't support permuted src0 or src1
+    GGML_ASSERT(nb00 == ggml_type_size(src0->type));
+    GGML_ASSERT(nb10 == ggml_type_size(src1->type));
+
+    // dst cannot be transposed or permuted
+    GGML_ASSERT(nb0 == sizeof(float));
+    GGML_ASSERT(nb0 <= nb1);
+    GGML_ASSERT(nb1 <= nb2);
+    GGML_ASSERT(nb2 <= nb3);
+
+    GGML_ASSERT(ne03 == 1);
+    GGML_ASSERT(ne13 == 1);
+    GGML_ASSERT(ne3  == 1);
+
+    // row groups
+    const int n_ids = ids->ne[0]; // n_expert_used
+    const int n_as  = ne02;       // n_experts
+
+    std::vector<int64_t> matrix_row_counts(n_as, 0);
+    std::vector<std::vector<mmid_row_mapping>> matrix_rows(n_as);
+
+    int64_t max_rows = 0;
+    // group rows by expert (preprocessing step)
+    for (int64_t iid1 = 0; iid1 < ids->ne[1]; ++iid1) {
+        for (int id = 0; id < n_ids; ++id) {
+            const int32_t i02 = *(const int32_t *)((const char *)ids->data + iid1*ids->nb[1] + id*ids->nb[0]);
+
+            GGML_ASSERT(i02 >= 0 && i02 < n_as);
+
+            matrix_rows[i02].push_back({id, iid1});
+            matrix_row_counts[i02]++;
+            if (matrix_row_counts[i02] > max_rows) {
+                max_rows = matrix_row_counts[i02];
+            }
+        }
+    }
+
+    if (max_rows == 0) {
+        return; // no rows to process
+    }
+
+    const size_t row_size = ggml_row_size(vec_dot_type, ne10);
+
+    // size for converting src1 rows to vec_dot_type if needed
+    const size_t nbw1 = row_size;
+    const size_t nbw2 = nbw1 * ne11;
+    const size_t nbw3 = nbw2 * ne12;
+    const size_t src1_conv_size = (src1->type != vec_dot_type) ? ne13 * nbw3 : 0;
+
+    // size for MoE gather/scatter buffers
+    const size_t wdata_cur_size = max_rows * row_size;
+    const size_t dst_cur_size = max_rows * ggml_row_size(dst->type, ne01);
+
+    // allocate single buffer for all needs
+    const size_t total_size = src1_conv_size + wdata_cur_size + dst_cur_size;
+    if (ctx->work_size < total_size) {
+        ctx->work_data.reset(new char[total_size]);
+        ctx->work_size = total_size;
+    }
+
+    // partition the buffer
+    char * work_data = ctx->work_data.get();
+    char * wdata_cur = work_data + src1_conv_size;
+    char * dst_cur = wdata_cur + wdata_cur_size;
+
+    if (src1->type != vec_dot_type) {
+        GGML_ASSERT(src1->type == GGML_TYPE_F32);
+
+        #pragma omp parallel for collapse(3) num_threads(ctx->n_threads) schedule(static)
+        for (int64_t i13 = 0; i13 < ne13; ++i13) {
+            for (int64_t i12 = 0; i12 < ne12; ++i12) {
+                for (int64_t i11 = 0; i11 < ne11; ++i11) {
+                    const float * src1_f32 = (float *)((char *)src1->data + i11*nb11 + i12*nb12 + i13*nb13);
+                    void * src1_conv = (char *)work_data + i11*nbw1 + i12*nbw2 + i13*nbw3;
+                    from_float(src1_f32, src1_conv, ne10);
+                }
+            }
+        }
+    }
+
+    const void * wdata = src1->type == vec_dot_type ? src1->data : work_data;
+
+    // process each expert with gather -> gemm -> scatter pattern
+    for (int64_t cur_a = 0; cur_a < n_as; ++cur_a) {
+        const int64_t cne1 = matrix_row_counts[cur_a];
+
+        if (cne1 == 0) {
+            continue;
+        }
+
+        const char * src0_cur = (const char *) src0->data + cur_a*nb02;
+
+        // gather input rows for this expert
+        #pragma omp parallel for num_threads(ctx->n_threads) schedule(static)
+        for (int64_t ir1 = 0; ir1 < cne1; ++ir1) {
+            const mmid_row_mapping & row_mapping = matrix_rows[cur_a][ir1];
+            const int64_t id = row_mapping.i1;
+            const int64_t i11 = id % ne11;
+            const int64_t i12 = row_mapping.i2;
+
+            std::memcpy(
+                wdata_cur + ir1 * row_size,
+                (const char *) wdata + (i11 + i12*ne11) * row_size,
+                row_size
+            );
+        }
+
+        // batched gemm for all tokens in this expert
+        if (!ggml_zendnn_sgemm(ctx,
+                              ne01,       // m
+                              cne1,       // n
+                              ne10,       // k
+                              src0_cur,
+                              ne00,       // lda
+                              wdata_cur,
+                              ne10,       // ldb
+                              dst_cur,
+                              ne01,       // ldc
+                              src0->type,
+                              vec_dot_type,
+                              dst->type)) {
+            GGML_ABORT("%s: ZenDNN sgemm failed\n", __func__);
+        }
+
+        // scatter output rows to destination
+        #pragma omp parallel for num_threads(ctx->n_threads) schedule(static)
+        for (int64_t ir1 = 0; ir1 < cne1; ++ir1) {
+            const mmid_row_mapping & row_mapping = matrix_rows[cur_a][ir1];
+            const int64_t id = row_mapping.i1;
+            const int64_t i1 = id;
+            const int64_t i2 = row_mapping.i2;
+
+            std::memcpy(
+                (char *) dst->data + i1*nb1 + i2*nb2,
+                dst_cur + ir1 * ggml_row_size(dst->type, ne01),
+                ggml_row_size(dst->type, ne01)
+            );
+        }
+    }
+}
+
 // backend interface
 
 static const char * ggml_backend_zendnn_get_name(ggml_backend_t backend) {
@@ -218,6 +382,9 @@ static ggml_status ggml_backend_zendnn_graph_compute(ggml_backend_t backend, ggm
             case GGML_OP_MUL_MAT:
                 ggml_zendnn_compute_forward_mul_mat(ctx, node);
                 break;
+            case GGML_OP_MUL_MAT_ID:
+                ggml_zendnn_compute_forward_mul_mat_id(ctx, node);
+                break;
             case GGML_OP_NONE:
             case GGML_OP_RESHAPE:
             case GGML_OP_VIEW:
@@ -240,6 +407,8 @@ static struct ggml_backend_i ggml_backend_zendnn_i = {
     /* .free                    = */ ggml_backend_zendnn_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
@@ -361,6 +530,7 @@ static bool ggml_backend_zendnn_device_supports_op(ggml_backend_dev_t dev, const
             return true;
 
         case GGML_OP_MUL_MAT:
+        case GGML_OP_MUL_MAT_ID:
         {
             const ggml_tensor * weights = op->src[0];
             const ggml_tensor * inputs = op->src[1];
@@ -374,6 +544,17 @@ static bool ggml_backend_zendnn_device_supports_op(ggml_backend_dev_t dev, const
                 ne0 < min_batch || ne1 < min_batch || ne10 < min_batch) {
                     return false;
             }
+            // MUL_MAT_ID performs best with a moderate number of experts due to its
+            // gather + batched matmul + scatter approach. Future versions will leverage
+            // ZenDNN's grouped_gemm for better scalability with larger expert counts:
+            // https://github.com/amd/ZenDNN/blob/main/docs/operator/lowoha_group_gemm_operator.md
+            if (op->op == GGML_OP_MUL_MAT_ID) {
+                const int64_t n_experts = weights->ne[2];
+                const int64_t max_experts = 32;
+                if (n_experts > max_experts) {
+                    return false;
+                }
+            }
             switch (weights->type) {
                 case GGML_TYPE_F32:
                 case GGML_TYPE_BF16:
diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c
index 4c0764a0ac52d9da2dd81db10444f1e44feebbae..eda041f4518ad5ea4c7ea104358f6b10afd3073a 100644
--- a/ggml/src/ggml.c
+++ b/ggml/src/ggml.c
@@ -53,6 +53,16 @@
 
 #define UNUSED GGML_UNUSED
 
+uint64_t ggml_graph_next_uid(void) {
+#ifdef _MSC_VER
+    static volatile long long counter = 1;
+    return (uint64_t) _InterlockedIncrement64(&counter) - 1;
+#else
+    static uint64_t counter = 1;
+    return __atomic_fetch_add(&counter, 1, __ATOMIC_RELAXED);
+#endif
+}
+
 // Needed for ggml_fp32_to_bf16_row()
 #if defined(__AVX512BF16__)
 #if defined(_MSC_VER)
@@ -651,6 +661,14 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = {
         .to_float                 = (ggml_to_float_t) ggml_fp16_to_fp32_row,
         .from_float_ref           = (ggml_from_float_t) ggml_fp32_to_fp16_row,
     },
+    [GGML_TYPE_Q1_0] = {
+        .type_name                = "q1_0",
+        .blck_size                = QK1_0,
+        .type_size                = sizeof(block_q1_0),
+        .is_quantized             = true,
+        .to_float                 = (ggml_to_float_t) dequantize_row_q1_0,
+        .from_float_ref           = (ggml_from_float_t) quantize_row_q1_0_ref,
+    },
     [GGML_TYPE_Q4_0] = {
         .type_name                = "q4_0",
         .blck_size                = QK4_0,
@@ -1384,6 +1402,7 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) {
         case GGML_FTYPE_MOSTLY_BF16:          wtype = GGML_TYPE_BF16;  break;
         case GGML_FTYPE_MOSTLY_Q4_0:          wtype = GGML_TYPE_Q4_0;  break;
         case GGML_FTYPE_MOSTLY_Q4_1:          wtype = GGML_TYPE_Q4_1;  break;
+        case GGML_FTYPE_MOSTLY_Q1_0:          wtype = GGML_TYPE_Q1_0;  break;
         case GGML_FTYPE_MOSTLY_Q5_0:          wtype = GGML_TYPE_Q5_0;  break;
         case GGML_FTYPE_MOSTLY_Q5_1:          wtype = GGML_TYPE_Q5_1;  break;
         case GGML_FTYPE_MOSTLY_Q8_0:          wtype = GGML_TYPE_Q8_0;  break;
@@ -4962,6 +4981,7 @@ static struct ggml_tensor * ggml_interpolate_impl(
     GGML_ASSERT((mode & 0xFF) < GGML_SCALE_MODE_COUNT);
     // TODO: implement antialias for modes other than bilinear
     GGML_ASSERT(!(mode & GGML_SCALE_FLAG_ANTIALIAS) || (mode & 0xFF) == GGML_SCALE_MODE_BILINEAR);
+    GGML_ASSERT(a->type == GGML_TYPE_F32);
 
     struct ggml_tensor * result = ggml_new_tensor_4d(ctx, a->type, ne0, ne1, ne2, ne3);
 
@@ -5307,6 +5327,7 @@ struct ggml_tensor * ggml_flash_attn_ext(
     GGML_ASSERT(q->ne[3] == v->ne[3]);
 
     if (mask) {
+        GGML_ASSERT(mask->type == GGML_TYPE_F16);
         GGML_ASSERT(ggml_is_contiguous(mask));
         //GGML_ASSERT(ggml_can_repeat_rows(mask, qk));
 
@@ -7087,6 +7108,7 @@ struct ggml_cgraph * ggml_new_graph_custom(struct ggml_context * ctx, size_t siz
         /*.use_counts   =*/ use_counts_ptr,
         /*.hash_table   =*/ { hash_size, hash_used, hash_keys_ptr },
         /*.order        =*/ GGML_CGRAPH_EVAL_ORDER_LEFT_TO_RIGHT,
+        /*.uid          =*/ 0,
     };
 
     ggml_hash_set_reset(&cgraph->visited_hash_set);
@@ -7114,6 +7136,7 @@ struct ggml_cgraph ggml_graph_view(struct ggml_cgraph * cgraph0, int i0, int i1)
         /*.use_counts       =*/ cgraph0->use_counts,
         /*.visited_hash_set =*/ cgraph0->visited_hash_set,
         /*.order            =*/ cgraph0->order,
+        /*.uid              =*/ 0
     };
 
     return cgraph;
@@ -7650,6 +7673,7 @@ size_t ggml_quantize_chunk(
     size_t result = 0;
 
     switch (type) {
+        case GGML_TYPE_Q1_0:    result = quantize_q1_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q4_0:    result = quantize_q4_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q4_1:    result = quantize_q4_1(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q5_0:    result = quantize_q5_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
diff --git a/ggml/src/gguf.cpp b/ggml/src/gguf.cpp
index cbeedf6c4b61962b9749be0f535be2c8ab6df073..ab3cc9748678ce79ee171a22e426061a4235fa8f 100644
--- a/ggml/src/gguf.cpp
+++ b/ggml/src/gguf.cpp
@@ -394,7 +394,11 @@ bool gguf_read_emplace_helper(const struct gguf_reader & gr, std::vector<struct
     return true;
 }
 
-struct gguf_context * gguf_init_from_file_impl(FILE * file, struct gguf_init_params params) {
+struct gguf_context * gguf_init_from_file_ptr(FILE * file, struct gguf_init_params params) {
+    if (!file) {
+        return nullptr;
+    }
+
     const struct gguf_reader gr(file);
     struct gguf_context * ctx = new gguf_context;
 
@@ -848,7 +852,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p
         return nullptr;
     }
 
-    struct gguf_context * result = gguf_init_from_file_impl(file, params);
+    struct gguf_context * result = gguf_init_from_file_ptr(file, params);
     fclose(file);
     return result;
 }
@@ -1508,6 +1512,19 @@ void gguf_write_to_buf(const struct gguf_context * ctx, std::vector<int8_t> & bu
     gguf_write_out(ctx, gw, only_meta);
 }
 
+bool gguf_write_to_file_ptr(const struct gguf_context * ctx, FILE * file, bool only_meta) {
+    GGML_ASSERT(file);
+
+    try {
+        gguf_writer_file gw(file);
+        gguf_write_out(ctx, gw, only_meta);
+    } catch (const std::runtime_error& ex) {
+        GGML_LOG_ERROR("%s: failed to write GGUF data: %s\n", __func__, ex.what());
+        return false;
+    }
+    return true;
+}
+
 bool gguf_write_to_file(const struct gguf_context * ctx, const char * fname, bool only_meta) {
     FILE * file = ggml_fopen(fname, "wb");
 
@@ -1516,17 +1533,13 @@ bool gguf_write_to_file(const struct gguf_context * ctx, const char * fname, boo
         return false;
     }
 
-    try {
-        gguf_writer_file gw(file);
-        gguf_write_out(ctx, gw, only_meta);
-    } catch (const std::runtime_error& ex) {
-        GGML_LOG_ERROR("%s: failed to write GGUF data into '%s': %s\n", __func__, fname, ex.what());
-        fclose(file);
-        return false;
+    const bool success = gguf_write_to_file_ptr(ctx, file, only_meta);
+    if (!success) {
+        GGML_LOG_ERROR("%s: failed to write GGUF data into '%s'\n", __func__, fname);
     }
 
     fclose(file);
-    return true;
+    return success;
 }
 
 size_t gguf_get_meta_size(const struct gguf_context * ctx) {
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index 0a032e9039cd8b21d5ee0f814a61e6877f036574..c5297a2f440fd1c6fda236ec1f145a49742a5f72 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -301,6 +301,8 @@ class Keys:
         IMAGE_SIZE          = "clip.vision.image_size"
         IMAGE_MIN_PIXELS    = "clip.vision.image_min_pixels"
         IMAGE_MAX_PIXELS    = "clip.vision.image_max_pixels"
+        PREPROC_MIN_TILES   = "clip.vision.preproc_min_tiles"
+        PREPROC_MAX_TILES   = "clip.vision.preproc_max_tiles"
         PREPROC_IMAGE_SIZE  = "clip.vision.preproc_image_size"
         PATCH_SIZE          = "clip.vision.patch_size"
         EMBEDDING_LENGTH    = "clip.vision.embedding_length"
@@ -324,6 +326,11 @@ class Keys:
         class Projector:
             SCALE_FACTOR    = "clip.vision.projector.scale_factor"
 
+        class SAM:
+            BLOCK_COUNT         = "clip.vision.sam.block_count"
+            EMBEDDING_LENGTH    = "clip.vision.sam.embedding_length"
+            HEAD_COUNT          = "clip.vision.sam.head_count"
+
     class ClipAudio:
         PROJECTOR_TYPE      = "clip.audio.projector_type" # for mixed modality models
         NUM_MEL_BINS        = "clip.audio.num_mel_bins"
@@ -412,6 +419,7 @@ class MODEL_ARCH(IntEnum):
     GEMMA2           = auto()
     GEMMA3           = auto()
     GEMMA3N          = auto()
+    GEMMA4           = auto()
     GEMMA_EMBEDDING  = auto()
     STARCODER2       = auto()
     RWKV6            = auto()
@@ -432,6 +440,7 @@ class MODEL_ARCH(IntEnum):
     ARCTIC           = auto()
     DEEPSEEK         = auto()
     DEEPSEEK2        = auto()
+    DEEPSEEK2OCR     = auto()
     CHATGLM          = auto()
     GLM4             = auto()
     GLM4_MOE         = auto()
@@ -497,6 +506,7 @@ class VISION_PROJECTOR_TYPE(IntEnum):
     GEMMA3N   = auto()
     GEMMA3    = auto()
     QWEN3VL   = auto()
+    STEP3VL   = auto()
     COGVLM    = auto()
 
 
@@ -527,8 +537,11 @@ class MODEL_TENSOR(IntEnum):
     FFN_GATE_INP         = auto()
     FFN_GATE_INP_SHEXP   = auto()
     FFN_NORM             = auto()
-    FFN_PRE_NORM         = auto()
+    FFN_PRE_NORM         = auto() # alias of FFN_NORM
+    FFN_PRE_NORM_2       = auto() # gemma4
     FFN_POST_NORM        = auto()
+    FFN_POST_NORM_1      = auto() # gemma4
+    FFN_POST_NORM_2      = auto() # gemma4
     FFN_GATE             = auto()
     FFN_DOWN             = auto()
     FFN_UP               = auto()
@@ -550,6 +563,7 @@ class MODEL_TENSOR(IntEnum):
     ATTN_Q_NORM          = auto()
     ATTN_K_NORM          = auto()
     LAYER_OUT_NORM       = auto()
+    LAYER_OUT_SCALE      = auto()
     PER_LAYER_TOKEN_EMBD = auto() # gemma3n
     PER_LAYER_MODEL_PROJ = auto() # gemma3n
     PER_LAYER_INP_GATE   = auto() # gemma3n
@@ -714,10 +728,14 @@ class MODEL_TENSOR(IntEnum):
     V_ENC_FFN_UP         = auto()
     V_ENC_FFN_GATE       = auto()
     V_ENC_FFN_DOWN       = auto()
+    V_ENC_ATTN_POST_NORM = auto() # gemma4
+    V_ENC_FFN_POST_NORM  = auto()
     V_LAYER_SCALE_1      = auto()
     V_LAYER_SCALE_2      = auto()
+    V_LAYER_OUT_SCALE    = auto()
     V_PRE_NORM           = auto()
     V_POST_NORM          = auto()
+    V_MM_PRE_NORM        = auto() # hunyuanocr
     V_MM_POST_NORM       = auto()
     V_MM_INP_NORM        = auto()
     V_MM_INP_PROJ        = auto() # gemma3
@@ -753,22 +771,48 @@ class MODEL_TENSOR(IntEnum):
     V_MM_GATE            = auto() # cogvlm
     V_TOK_BOI            = auto() # cogvlm
     V_TOK_EOI            = auto() # cogvlm
+    V_TOK_IMG_BEGIN      = auto() # hunyuanocr
+    V_TOK_IMG_END        = auto() # hunyuanocr
+    V_STD_BIAS           = auto() # gemma4
+    V_STD_SCALE          = auto() # gemma4
+    V_SAM_POS_EMBD       = auto() # Deepseek-OCR
+    V_SAM_PATCH_EMBD     = auto() # Deepseek-OCR
+    V_SAM_PRE_NORM       = auto() # Deepseek-OCR
+    V_SAM_POST_NORM      = auto() # Deepseek-OCR
+    V_SAM_ATTN_POS_H     = auto() # Deepseek-OCR
+    V_SAM_ATTN_POS_W     = auto() # Deepseek-OCR
+    V_SAM_ATTN_QKV       = auto() # Deepseek-OCR
+    V_SAM_ATTN_OUT       = auto() # Deepseek-OCR
+    V_SAM_MLP_LIN_1      = auto() # Deepseek-OCR
+    V_SAM_MLP_LIN_2      = auto() # Deepseek-OCR
+    V_SAM_NECK           = auto() # Deepseek-OCR
+    V_SAM_NET_2          = auto() # Deepseek-OCR
+    V_SAM_NET_3          = auto() # Deepseek-OCR
+    V_ENC_EMBD_IMGNL     = auto() # Deepseek-OCR
+    V_ENC_EMBD_VSEP      = auto() # Deepseek-OCR
+
     # audio (mtmd)
     A_ENC_EMBD_POS        = auto()
     A_ENC_EMBD_NORM       = auto()
     A_ENC_EMBD_TO_LOGITS  = auto() # lfm2
+    A_ENC_INP_PROJ        = auto() # gemma4
     A_ENC_CONV1D          = auto()
     A_ENC_CONV1D_NORM     = auto() # gemma3n
+    A_ENC_CONV2D          = auto()
+    A_ENC_CONV_OUT        = auto()
     A_PRE_NORM            = auto()
     A_POST_NORM           = auto()
     A_ENC_LAYER_PRE_NORM  = auto() # gemma3n
     A_ENC_ATTN_Q          = auto()
     A_ENC_ATTN_K          = auto()
     A_ENC_ATTN_V          = auto()
+    A_ENC_ATTN_POST_NORM  = auto()
+    A_ENC_ATTN_PRE_NORM   = auto()
+    A_ENC_ATTN_K_REL      = auto() # gemma4
     A_ENC_PER_DIM_SCALE   = auto() # gemma3n
     A_ENC_INPUT_NORM      = auto()
-    A_ENC_OUTPUT          = auto()
-    A_ENC_OUTPUT_NORM     = auto()
+    A_ENC_OUTPUT          = auto() # TODO @ngxson: rename to ATTN_OUT
+    A_ENC_OUTPUT_NORM     = auto() # TODO @ngxson: rename to ATTN_OUT
     A_ENC_FFN_UP          = auto()
     A_ENC_FFN_NORM        = auto()
     A_ENC_FFN_POST_NORM   = auto() # gemma3n
@@ -789,6 +833,8 @@ class MODEL_TENSOR(IntEnum):
     A_MM_HARD_EMB_NORM    = auto() # gemma3n
     A_MM_SOFT_EMB_NORM    = auto() # gemma3n
     A_MM_INP_PROJ         = auto() # gemma3n
+    A_PER_DIM_K_SCALE     = auto() # gemma4
+    A_PER_DIM_SCALE       = auto() # gemma4
     # nextn/mtp
     NEXTN_EH_PROJ        = auto()
     NEXTN_EMBED_TOKENS   = auto()
@@ -858,6 +904,7 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
     MODEL_ARCH.GEMMA2:           "gemma2",
     MODEL_ARCH.GEMMA3:           "gemma3",
     MODEL_ARCH.GEMMA3N:          "gemma3n",
+    MODEL_ARCH.GEMMA4:           "gemma4",
     MODEL_ARCH.GEMMA_EMBEDDING:  "gemma-embedding",
     MODEL_ARCH.STARCODER2:       "starcoder2",
     MODEL_ARCH.RWKV6:            "rwkv6",
@@ -878,6 +925,7 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
     MODEL_ARCH.ARCTIC:           "arctic",
     MODEL_ARCH.DEEPSEEK:         "deepseek",
     MODEL_ARCH.DEEPSEEK2:        "deepseek2",
+    MODEL_ARCH.DEEPSEEK2OCR:     "deepseek2-ocr",
     MODEL_ARCH.CHATGLM:          "chatglm",
     MODEL_ARCH.GLM4:             "glm4",
     MODEL_ARCH.GLM4_MOE:         "glm4moe",
@@ -942,6 +990,8 @@ VISION_PROJECTOR_TYPE_NAMES: dict[VISION_PROJECTOR_TYPE, str] = {
     VISION_PROJECTOR_TYPE.GLM_EDGE:  "adapter",
     VISION_PROJECTOR_TYPE.MERGER:    "qwen2vl_merger",
     VISION_PROJECTOR_TYPE.GEMMA3:    "gemma3",
+    VISION_PROJECTOR_TYPE.QWEN3VL:   "qwen3vl_merger",
+    VISION_PROJECTOR_TYPE.STEP3VL:   "step3vl",
 }
 
 TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
@@ -975,6 +1025,9 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.FFN_NORM:                  "blk.{bid}.ffn_norm",
     MODEL_TENSOR.FFN_PRE_NORM:              "blk.{bid}.ffn_norm",
     MODEL_TENSOR.FFN_POST_NORM:             "blk.{bid}.post_ffw_norm",
+    MODEL_TENSOR.FFN_PRE_NORM_2:            "blk.{bid}.pre_ffw_norm_2",  # gemma4
+    MODEL_TENSOR.FFN_POST_NORM_1:           "blk.{bid}.post_ffw_norm_1", # gemma4
+    MODEL_TENSOR.FFN_POST_NORM_2:           "blk.{bid}.post_ffw_norm_2", # gemma4
     MODEL_TENSOR.FFN_GATE:                  "blk.{bid}.ffn_gate",
     MODEL_TENSOR.FFN_DOWN:                  "blk.{bid}.ffn_down",
     MODEL_TENSOR.FFN_UP:                    "blk.{bid}.ffn_up",
@@ -994,6 +1047,7 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.MOE_LATENT_DOWN:           "blk.{bid}.ffn_latent_down",      # nemotron 3 super
     MODEL_TENSOR.MOE_LATENT_UP:             "blk.{bid}.ffn_latent_up",        # nemotron 3 super
     MODEL_TENSOR.LAYER_OUT_NORM:            "blk.{bid}.layer_output_norm",
+    MODEL_TENSOR.LAYER_OUT_SCALE:           "blk.{bid}.layer_output_scale",
     MODEL_TENSOR.PER_LAYER_TOKEN_EMBD:      "per_layer_token_embd",           # gemma3n
     MODEL_TENSOR.PER_LAYER_MODEL_PROJ:      "per_layer_model_proj",           # gemma3n
     MODEL_TENSOR.PER_LAYER_PROJ_NORM:       "per_layer_proj_norm",            # gemma3n
@@ -1158,8 +1212,11 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.V_ENC_FFN_UP:              "v.blk.{bid}.ffn_up",
     MODEL_TENSOR.V_ENC_FFN_GATE:            "v.blk.{bid}.ffn_gate",
     MODEL_TENSOR.V_ENC_FFN_DOWN:            "v.blk.{bid}.ffn_down",
+    MODEL_TENSOR.V_ENC_ATTN_POST_NORM:      "v.blk.{bid}.attn_post_norm",
+    MODEL_TENSOR.V_ENC_FFN_POST_NORM:       "v.blk.{bid}.ffn_post_norm",
     MODEL_TENSOR.V_LAYER_SCALE_1:           "v.blk.{bid}.ls1",
     MODEL_TENSOR.V_LAYER_SCALE_2:           "v.blk.{bid}.ls2",
+    MODEL_TENSOR.V_LAYER_OUT_SCALE:         "v.blk.{bid}.out_scale",
     MODEL_TENSOR.V_PRE_NORM:                "v.pre_ln",
     MODEL_TENSOR.V_POST_NORM:               "v.post_ln",
     MODEL_TENSOR.V_MM_POST_NORM:            "mm.post_norm",
@@ -1197,12 +1254,36 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.V_MM_GATE:                 "mm.gate",
     MODEL_TENSOR.V_TOK_BOI:                 "v.boi",
     MODEL_TENSOR.V_TOK_EOI:                 "v.eoi",
+    MODEL_TENSOR.V_MM_PRE_NORM:             "mm.pre_norm",
+    MODEL_TENSOR.V_TOK_IMG_BEGIN:           "mm.image_begin",
+    MODEL_TENSOR.V_TOK_IMG_END:             "mm.image_end",
+    MODEL_TENSOR.V_STD_BIAS:                "v.std_bias", # gemma4
+    MODEL_TENSOR.V_STD_SCALE:               "v.std_scale", # gemma4
+    # DeepSeek-OCR SAM
+    MODEL_TENSOR.V_SAM_POS_EMBD:            "v.sam.pos_embd",
+    MODEL_TENSOR.V_SAM_PATCH_EMBD:          "v.sam.patch_embd",
+    MODEL_TENSOR.V_SAM_PRE_NORM:            "v.sam.blk.{bid}.pre_ln",
+    MODEL_TENSOR.V_SAM_POST_NORM:           "v.sam.blk.{bid}.post_ln",
+    MODEL_TENSOR.V_SAM_ATTN_POS_H:          "v.sam.blk.{bid}.attn.pos_h",
+    MODEL_TENSOR.V_SAM_ATTN_POS_W:          "v.sam.blk.{bid}.attn.pos_w",
+    MODEL_TENSOR.V_SAM_ATTN_QKV:            "v.sam.blk.{bid}.attn.qkv",
+    MODEL_TENSOR.V_SAM_ATTN_OUT:            "v.sam.blk.{bid}.attn.out",
+    MODEL_TENSOR.V_SAM_MLP_LIN_1:           "v.sam.blk.{bid}.mlp.lin1",
+    MODEL_TENSOR.V_SAM_MLP_LIN_2:           "v.sam.blk.{bid}.mlp.lin2",
+    MODEL_TENSOR.V_SAM_NECK:                "v.sam.neck.{bid}",
+    MODEL_TENSOR.V_SAM_NET_2:               "v.sam.net_2",
+    MODEL_TENSOR.V_SAM_NET_3:               "v.sam.net_3",
+    MODEL_TENSOR.V_ENC_EMBD_IMGNL:          "v.image_newline", # Deepseek-OCR
+    MODEL_TENSOR.V_ENC_EMBD_VSEP:           "v.view_seperator", # Deepseek-OCR
     # audio (mtmd)
     # note: all audio tensor names must use prefix "a." or "mm.a."
     MODEL_TENSOR.A_ENC_EMBD_POS:            "a.position_embd",
     MODEL_TENSOR.A_ENC_EMBD_NORM:           "a.position_embd_norm",
     MODEL_TENSOR.A_ENC_EMBD_TO_LOGITS:      "a.embd_to_logits",
+    MODEL_TENSOR.A_ENC_INP_PROJ:            "a.input_projection",
     MODEL_TENSOR.A_ENC_CONV1D:              "a.conv1d.{bid}",
+    MODEL_TENSOR.A_ENC_CONV2D:              "a.conv2d.{bid}",
+    MODEL_TENSOR.A_ENC_CONV_OUT:            "a.conv_out",
     MODEL_TENSOR.A_ENC_CONV1D_NORM:         "a.conv1d.{bid}.norm",
     MODEL_TENSOR.A_PRE_NORM:                "a.pre_ln",
     MODEL_TENSOR.A_POST_NORM:               "a.post_ln",
@@ -1210,6 +1291,9 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.A_ENC_ATTN_Q:              "a.blk.{bid}.attn_q",
     MODEL_TENSOR.A_ENC_ATTN_K:              "a.blk.{bid}.attn_k",
     MODEL_TENSOR.A_ENC_ATTN_V:              "a.blk.{bid}.attn_v",
+    MODEL_TENSOR.A_ENC_ATTN_POST_NORM:      "a.blk.{bid}.attn_post_norm",
+    MODEL_TENSOR.A_ENC_ATTN_PRE_NORM:       "a.blk.{bid}.attn_pre_norm",
+    MODEL_TENSOR.A_ENC_ATTN_K_REL:          "a.blk.{bid}.attn_k_rel",
     MODEL_TENSOR.A_ENC_PER_DIM_SCALE:       "a.blk.{bid}.per_dim_scale",
     MODEL_TENSOR.A_ENC_INPUT_NORM:          "a.blk.{bid}.ln1",
     MODEL_TENSOR.A_ENC_OUTPUT:              "a.blk.{bid}.attn_out",
@@ -1234,6 +1318,8 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.A_MM_SOFT_EMB_NORM:        "mm.a.soft_emb_norm",         # gemma3n
     MODEL_TENSOR.A_MM_EMBEDDING:            "mm.a.embedding",             # gemma3n
     MODEL_TENSOR.A_MM_HARD_EMB_NORM:        "mm.a.hard_emb_norm",         # gemma3n
+    MODEL_TENSOR.A_PER_DIM_K_SCALE:         "a.blk.{bid}.per_dim_k_scale", # gemma4
+    MODEL_TENSOR.A_PER_DIM_SCALE:           "a.blk.{bid}.per_dim_scale",   # gemma4
     # lfm2 audio
     MODEL_TENSOR.A_ENC_NORM_CONV:           "a.blk.{bid}.norm_conv",
     MODEL_TENSOR.A_ENC_LINEAR_POS:          "a.blk.{bid}.linear_pos",
@@ -1263,6 +1349,8 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.V_ENC_EMBD_PATCH,
         MODEL_TENSOR.V_ENC_EMBD_NORM,
         MODEL_TENSOR.V_ENC_EMBD_POS,
+        MODEL_TENSOR.V_ENC_EMBD_IMGNL,
+        MODEL_TENSOR.V_ENC_EMBD_VSEP,
         MODEL_TENSOR.V_ENC_INPUT_NORM,
         MODEL_TENSOR.V_ENC_ATTN_QKV,
         MODEL_TENSOR.V_ENC_ATTN_Q,
@@ -1276,8 +1364,11 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.V_ENC_FFN_UP,
         MODEL_TENSOR.V_ENC_FFN_GATE,
         MODEL_TENSOR.V_ENC_FFN_DOWN,
+        MODEL_TENSOR.V_ENC_ATTN_POST_NORM,
+        MODEL_TENSOR.V_ENC_FFN_POST_NORM,
         MODEL_TENSOR.V_LAYER_SCALE_1,
         MODEL_TENSOR.V_LAYER_SCALE_2,
+        MODEL_TENSOR.V_LAYER_OUT_SCALE,
         MODEL_TENSOR.V_PRE_NORM,
         MODEL_TENSOR.V_POST_NORM,
         MODEL_TENSOR.V_MM_POST_NORM,
@@ -1315,11 +1406,32 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.V_MM_GATE,
         MODEL_TENSOR.V_TOK_BOI,
         MODEL_TENSOR.V_TOK_EOI,
+        MODEL_TENSOR.V_MM_PRE_NORM,
+        MODEL_TENSOR.V_TOK_IMG_BEGIN,
+        MODEL_TENSOR.V_TOK_IMG_END,
+        MODEL_TENSOR.V_STD_BIAS,
+        MODEL_TENSOR.V_STD_SCALE,
+        MODEL_TENSOR.V_SAM_POS_EMBD,
+        MODEL_TENSOR.V_SAM_PATCH_EMBD,
+        MODEL_TENSOR.V_SAM_PRE_NORM,
+        MODEL_TENSOR.V_SAM_POST_NORM,
+        MODEL_TENSOR.V_SAM_ATTN_POS_H,
+        MODEL_TENSOR.V_SAM_ATTN_POS_W,
+        MODEL_TENSOR.V_SAM_ATTN_QKV,
+        MODEL_TENSOR.V_SAM_ATTN_OUT,
+        MODEL_TENSOR.V_SAM_MLP_LIN_1,
+        MODEL_TENSOR.V_SAM_MLP_LIN_2,
+        MODEL_TENSOR.V_SAM_NECK,
+        MODEL_TENSOR.V_SAM_NET_2,
+        MODEL_TENSOR.V_SAM_NET_3,
         # audio
         MODEL_TENSOR.A_ENC_EMBD_POS,
         MODEL_TENSOR.A_ENC_EMBD_NORM,
         MODEL_TENSOR.A_ENC_EMBD_TO_LOGITS,
+        MODEL_TENSOR.A_ENC_INP_PROJ,
         MODEL_TENSOR.A_ENC_CONV1D,
+        MODEL_TENSOR.A_ENC_CONV2D,
+        MODEL_TENSOR.A_ENC_CONV_OUT,
         MODEL_TENSOR.A_ENC_CONV1D_NORM,
         MODEL_TENSOR.A_PRE_NORM,
         MODEL_TENSOR.A_POST_NORM,
@@ -1327,6 +1439,9 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.A_ENC_ATTN_Q,
         MODEL_TENSOR.A_ENC_ATTN_K,
         MODEL_TENSOR.A_ENC_ATTN_V,
+        MODEL_TENSOR.A_ENC_ATTN_POST_NORM,
+        MODEL_TENSOR.A_ENC_ATTN_PRE_NORM,
+        MODEL_TENSOR.A_ENC_ATTN_K_REL,
         MODEL_TENSOR.A_ENC_PER_DIM_SCALE,
         MODEL_TENSOR.A_ENC_INPUT_NORM,
         MODEL_TENSOR.A_ENC_OUTPUT,
@@ -1360,6 +1475,8 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.A_MM_SOFT_EMB_NORM,
         MODEL_TENSOR.A_MM_EMBEDDING,
         MODEL_TENSOR.A_MM_HARD_EMB_NORM,
+        MODEL_TENSOR.A_PER_DIM_K_SCALE,
+        MODEL_TENSOR.A_PER_DIM_SCALE,
     ],
     MODEL_ARCH.LLAMA: [
         MODEL_TENSOR.TOKEN_EMBD,
@@ -2217,6 +2334,38 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.LAUREL_R,
         MODEL_TENSOR.LAUREL_POST_NORM,
     ],
+    MODEL_ARCH.GEMMA4: [
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_Q_NORM,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_K_NORM,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_GATE_UP_EXP,
+        MODEL_TENSOR.FFN_DOWN_EXP,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_POST_NORM,
+        MODEL_TENSOR.FFN_GATE_INP,
+        MODEL_TENSOR.FFN_PRE_NORM,
+        MODEL_TENSOR.FFN_PRE_NORM_2,
+        MODEL_TENSOR.FFN_POST_NORM,
+        MODEL_TENSOR.FFN_POST_NORM_1,
+        MODEL_TENSOR.FFN_POST_NORM_2,
+        MODEL_TENSOR.LAYER_OUT_SCALE,
+        MODEL_TENSOR.PER_LAYER_TOKEN_EMBD,
+        MODEL_TENSOR.PER_LAYER_MODEL_PROJ,
+        MODEL_TENSOR.PER_LAYER_INP_GATE,
+        MODEL_TENSOR.PER_LAYER_PROJ,
+        MODEL_TENSOR.PER_LAYER_PROJ_NORM,
+        MODEL_TENSOR.PER_LAYER_POST_NORM,
+    ],
     MODEL_ARCH.GEMMA_EMBEDDING: [
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.OUTPUT,
@@ -2610,7 +2759,41 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.ATTN_Q_B,
         MODEL_TENSOR.ATTN_KV_A_MQA,
         MODEL_TENSOR.ATTN_KV_B,
+        MODEL_TENSOR.ATTN_K,
         MODEL_TENSOR.ATTN_K_B,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_V_B,
+        MODEL_TENSOR.ATTN_Q_A_NORM,
+        MODEL_TENSOR.ATTN_KV_A_NORM,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.ATTN_ROT_EMBD,
+        MODEL_TENSOR.FFN_GATE_INP,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_GATE_EXP,
+        MODEL_TENSOR.FFN_DOWN_EXP,
+        MODEL_TENSOR.FFN_UP_EXP,
+        MODEL_TENSOR.FFN_GATE_SHEXP,
+        MODEL_TENSOR.FFN_DOWN_SHEXP,
+        MODEL_TENSOR.FFN_UP_SHEXP,
+        MODEL_TENSOR.FFN_EXP_PROBS_B,
+    ],
+    MODEL_ARCH.DEEPSEEK2OCR: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_Q_A,
+        MODEL_TENSOR.ATTN_Q_B,
+        MODEL_TENSOR.ATTN_KV_A_MQA,
+        MODEL_TENSOR.ATTN_KV_B,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_K_B,
+        MODEL_TENSOR.ATTN_V,
         MODEL_TENSOR.ATTN_V_B,
         MODEL_TENSOR.ATTN_Q_A_NORM,
         MODEL_TENSOR.ATTN_KV_A_NORM,
@@ -3739,6 +3922,10 @@ MODEL_TENSOR_SKIP: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.ROPE_FREQS,
         MODEL_TENSOR.ATTN_ROT_EMBD,
     ],
+    MODEL_ARCH.DEEPSEEK2OCR: [
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.ATTN_ROT_EMBD,
+    ],
     MODEL_ARCH.CHATGLM: [
         MODEL_TENSOR.ROPE_FREQS,
     ],
@@ -3818,6 +4005,7 @@ class GGMLQuantizationType(IntEnum):
     TQ2_0   = 35
     MXFP4   = 39
     NVFP4   = 40
+    Q1_0    = 41
 
 
 class ExpertGatingFuncType(IntEnum):
@@ -3869,6 +4057,9 @@ class LlamaFileType(IntEnum):
     # MOSTLY_Q4_0_8_8      = 35  # removed from gguf files, use Q4_0 and runtime repack
     MOSTLY_TQ1_0         = 36  # except 1d tensors
     MOSTLY_TQ2_0         = 37  # except 1d tensors
+    MOSTLY_MXFP4_MOE     = 38  # except 1d tensors
+    MOSTLY_NVFP4         = 39  # except 1d tensors
+    MOSTLY_Q1_0          = 40  # except 1d tensors
 
     GUESSED              = 1024  # not specified in the model file
 
@@ -3914,6 +4105,8 @@ class VisionProjectorType:
     GEMMA3 = "gemma3"
     GEMMA3NV = "gemma3nv"
     GEMMA3NA = "gemma3na"
+    GEMMA4V = "gemma4v"
+    GEMMA4A = "gemma4a"
     PHI4 = "phi4"
     IDEFICS3 = "idefics3"
     PIXTRAL = "pixtral"
@@ -3921,12 +4114,15 @@ class VisionProjectorType:
     QWEN2VL = "qwen2vl_merger"
     QWEN25VL = "qwen2.5vl_merger"
     QWEN3VL = "qwen3vl_merger"
+    STEP3VL = "step3vl"
     ULTRAVOX = "ultravox"
     INTERNVL = "internvl"
     QWEN2A = "qwen2a" # audio
+    QWEN3A = "qwen3a" # audio
     GLMA = "glma" # audio
     QWEN25O = "qwen2.5o" # omni
     VOXTRAL = "voxtral"
+    MERALION = "meralion"  # audio: Whisper + gated MLP adaptor
     LFM2 = "lfm2"
     KIMIVL = "kimivl"
     PADDLEOCR = "paddleocr"
@@ -3934,11 +4130,14 @@ class VisionProjectorType:
     LIGHTONOCR = "lightonocr"
     COGVLM = "cogvlm"
     JANUS_PRO = "janus_pro"
+    DOTSOCR = "dots_ocr"
+    DEEPSEEKOCR = "deepseekocr"
     LFM2A = "lfm2a" # audio
     MUSIC_FLAMINGO = "musicflamingo" # audio
     GLM4V = "glm4v"
     YOUTUVL = "youtuvl"
     NEMOTRON_V2_VL = "nemotron_v2_vl"
+    HUNYUANOCR     = "hunyuanocr"
 
 
 # Items here are (block size, type size)
@@ -3977,6 +4176,7 @@ GGML_QUANT_SIZES: dict[GGMLQuantizationType, tuple[int, int]] = {
     GGMLQuantizationType.TQ2_0:   (256, 2 + 64),
     GGMLQuantizationType.MXFP4:   (32, 1 + 16),
     GGMLQuantizationType.NVFP4:   (64, 4 + 32),
+    GGMLQuantizationType.Q1_0:    (128, 2 + 16),
 }
 
 
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index 57f9fd1a524811fa855df1495e0a2db404efe6cd..90d500dc77190d99b0c45c826c9bc2cf2325667c 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -799,6 +799,7 @@ class GGUFWriter:
     def add_shared_kv_layers(self, value: int) -> None:
         self.add_uint32(Keys.Attention.SHARED_KV_LAYERS.format(arch=self.arch), value)
 
+    # if input is array, true means SWA and false means full_attention for each layer
     def add_sliding_window_pattern(self, value: int | Sequence[bool]) -> None:
         key = Keys.Attention.SLIDING_WINDOW_PATTERN.format(arch=self.arch)
         if isinstance(value, int):
@@ -1156,6 +1157,12 @@ class GGUFWriter:
     def add_vision_min_pixels(self, value: int) -> None:
         self.add_uint32(Keys.ClipVision.IMAGE_MIN_PIXELS, value)
 
+    def add_vision_preproc_max_tiles(self, value: int) -> None:
+        self.add_uint32(Keys.ClipVision.PREPROC_MAX_TILES, value)
+
+    def add_vision_preproc_min_tiles(self, value: int) -> None:
+        self.add_uint32(Keys.ClipVision.PREPROC_MIN_TILES, value)
+
     def add_vision_preproc_image_size(self, value: int) -> None:
         self.add_uint32(Keys.ClipVision.PREPROC_IMAGE_SIZE, value)
 
@@ -1212,6 +1219,15 @@ class GGUFWriter:
     def add_vision_window_size(self, value: int) -> None:
         self.add_uint32(Keys.ClipVision.WINDOW_SIZE, value)
 
+    def add_vision_sam_layers_count(self, value: int) -> None:
+        self.add_uint32(Keys.ClipVision.SAM.BLOCK_COUNT, value)
+
+    def add_vision_sam_embedding_length(self, value: int) -> None:
+        self.add_uint32(Keys.ClipVision.SAM.EMBEDDING_LENGTH, value)
+
+    def add_vision_sam_head_count(self, value: int) -> None:
+        self.add_uint32(Keys.ClipVision.SAM.HEAD_COUNT, value)
+
     # audio models
 
     def add_clip_audio_projector_type(self, value: str) -> None:
@@ -1300,7 +1316,7 @@ class GGUFWriter:
         else:
             raise ValueError("Invalid GGUF metadata value type or value")
 
-        return kv_data
+        return bytes(kv_data)
 
     @staticmethod
     def format_n_bytes_to_str(num: int) -> str:
diff --git a/gguf-py/gguf/lazy.py b/gguf-py/gguf/lazy.py
index c126f09c5091bf779d6be0c9cc92f2b333c131b3..acbc79258a31d5bfe7fa3dd9b0bb5309e0b829f2 100644
--- a/gguf-py/gguf/lazy.py
+++ b/gguf-py/gguf/lazy.py
@@ -138,7 +138,7 @@ class LazyBase(ABC, metaclass=LazyMeta):
                     if isinstance(meta_noop, tuple):
                         dtype, shape = meta_noop
                         assert callable(shape)
-                        res = cls.meta_with_dtype_and_shape(dtype, shape(res.shape))
+                        res = cls.meta_with_dtype_and_shape(dtype, shape(res.shape))  # ty: ignore[call-top-callable]
                     else:
                         res = cls.meta_with_dtype_and_shape(meta_noop, res.shape)
 
diff --git a/gguf-py/gguf/quants.py b/gguf-py/gguf/quants.py
index 1cd519981a2fe38d32c8a60e3107649ace605abc..1d9d9ab7d70e95028bf72ed7ef7d4cab392d470f 100644
--- a/gguf-py/gguf/quants.py
+++ b/gguf-py/gguf/quants.py
@@ -91,11 +91,11 @@ class __Quant(ABC):
     def __init_subclass__(cls, qtype: GGMLQuantizationType) -> None:
         cls.qtype = qtype
         cls.block_size, cls.type_size = GGML_QUANT_SIZES[qtype]
-        cls.__quantize_lazy = LazyNumpyTensor._wrap_fn(
+        cls.__quantize_lazy: Any = LazyNumpyTensor._wrap_fn(
             cls.__quantize_array,
             meta_noop=(np.uint8, cls.__shape_to_bytes)
         )
-        cls.__dequantize_lazy = LazyNumpyTensor._wrap_fn(
+        cls.__dequantize_lazy: Any = LazyNumpyTensor._wrap_fn(
             cls.__dequantize_array,
             meta_noop=(np.float32, cls.__shape_from_bytes)
         )
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 18131e54054029bff9a5c5f694d4fa12a4542d1e..01a9b236000bcb50fe161f53bf18daca2e2bfbad 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -63,6 +63,7 @@ class TensorNameMap:
             "transformer.wpe",                 # gpt2
             "embeddings.position_embeddings",  # bert
             "wpe",                             # gpt2
+            "model.embed_positions",           # rugpt3xl
         ),
 
         # Output
@@ -400,6 +401,10 @@ class TensorNameMap:
             "model.layers.{bid}.pre_mlp_layernorm",        # afmoe
         ),
 
+        MODEL_TENSOR.FFN_PRE_NORM_2: (
+            "model.layers.{bid}.pre_feedforward_layernorm_2", # gemma4
+        ),
+
         # Post feed-forward norm
         MODEL_TENSOR.FFN_POST_NORM: (
             "model.layers.{bid}.post_feedforward_layernorm",  # gemma2 olmo2
@@ -410,6 +415,14 @@ class TensorNameMap:
             "model.layers.{bid}.post_moe_norm",               # grok-2
         ),
 
+        MODEL_TENSOR.FFN_POST_NORM_1: (
+            "model.layers.{bid}.post_feedforward_layernorm_1", # gemma4
+        ),
+
+        MODEL_TENSOR.FFN_POST_NORM_2: (
+            "model.layers.{bid}.post_feedforward_layernorm_2", # gemma4
+        ),
+
         MODEL_TENSOR.FFN_GATE_INP: (
             "layers.{bid}.feed_forward.gate",                   # mixtral
             "model.layers.{bid}.block_sparse_moe.gate",         # mixtral phimoe
@@ -427,6 +440,7 @@ class TensorNameMap:
             "layers.{bid}.gate",                                # mistral-large
             "backbone.layers.{bid}.mixer.gate",                 # nemotron-h-moe
             "model.layers.{bid}.moe.gate",                      # step3.5
+            "model.layers.{bid}.router.proj",                   # gemma4
         ),
 
         MODEL_TENSOR.FFN_GATE_INP_SHEXP: (
@@ -569,6 +583,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.FFN_GATE_UP_EXP: (
             "model.layers.{bid}.mlp.experts.gate_up_proj",
+            "model.layers.{bid}.experts.gate_up_proj", # gemma4
         ),
 
         MODEL_TENSOR.MOE_LATENT_DOWN: (
@@ -628,6 +643,7 @@ class TensorNameMap:
             "encoder.layers.{bid}.mlp.experts.mlp.w2",              # nomic-bert-moe
             "model.layers.{bid}.block_sparse_moe.experts.down",     # smallthinker
             "model.layers.{bid}.moe.down_proj",                     # step3.5
+            "model.layers.{bid}.experts.down_proj",                 # gemma4
         ),
 
         MODEL_TENSOR.FFN_DOWN_SHEXP: (
@@ -692,6 +708,10 @@ class TensorNameMap:
             "model.layers.{bid}.final_layernorm",           # bailingmoe2
         ),
 
+        MODEL_TENSOR.LAYER_OUT_SCALE: (
+            "model.layers.{bid}.layer_scalar", # gemma4
+        ),
+
         MODEL_TENSOR.PER_LAYER_TOKEN_EMBD: (
             "model.embed_tokens_per_layer",  # gemma3n
         ),
@@ -1339,12 +1359,16 @@ class TensorNameMap:
             "visual.merger.mlp.{bid}", # qwen2vl
             "mlp_AR.linear_{bid}", # PaddleOCR-VL
             "merger.mlp.{bid}",
+            "vision_tower.merger.mlp.{bid}", # dots.ocr
+            "vit.perceive.proj.{bid}", # HunyuanOCR (proj.0 = conv1, proj.2 = conv2)
         ),
 
         MODEL_TENSOR.V_MMPROJ_FC: (
             "model.connector.modality_projection.proj", # SmolVLM
             "model.vision.linear_proj.linear_proj", # cogvlm
+            "model.projector.layers", # Deepseek-OCR
             "visual.merger.proj", # glm4v
+            "vit.perceive.mlp", # HunyuanOCR
         ),
 
         MODEL_TENSOR.V_MMPROJ_MLP: (
@@ -1364,6 +1388,7 @@ class TensorNameMap:
             "vision_model.class_embedding", # llama 4
             "model.vision.patch_embedding.cls_embedding", # cogvlm
             "vision_model.radio_model.model.patch_generator.cls_token.token", # Nemotron Nano v2 VL
+            "model.vision_model.embeddings.class_embedding", # Deepseek-OCR
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_PATCH: (
@@ -1371,18 +1396,24 @@ class TensorNameMap:
             "model.vision_tower.embeddings.patch_embeddings.projection", # Intern-S1
             "vpm.embeddings.patch_embedding",
             "model.vision_model.embeddings.patch_embedding", # SmolVLM
+            "vit.embeddings.patch_embedding", # HunyuanOCR
             "vision_tower.patch_conv", # pixtral-hf
             "vision_encoder.patch_conv", # pixtral
             "vision_model.patch_embedding.linear", # llama 4
             "visual.patch_embed.proj", # qwen2vl
             "vision_tower.patch_embed.proj", # kimi-vl
             "model.vision.patch_embedding.proj", # cogvlm
+            "model.vision_model.embeddings.patch_embedding", # Deepseek-OCR CLIP
             "siglip2.vision_model.embeddings.patch_embedding",
             "vision_model.radio_model.model.patch_generator.embedder", # Nemotron Nano v2 VL
+            "model.vision_tower.patch_embedder.input_proj", # gemma4
+            "vision_tower.patch_embed.patchifier.proj", # dots.ocr
+            "vision_model.conv1", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_NORM: (
             "visual.post_conv_layernorm", # glm4v
+            "vision_tower.patch_embed.patchifier.norm", # dots.ocr
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_POS: (
@@ -1390,19 +1421,35 @@ class TensorNameMap:
             "model.vision_tower.embeddings.position_embeddings", # Intern-S1
             "vpm.embeddings.position_embedding",
             "model.vision_model.embeddings.position_embedding", # SmolVLM
+            "vit.embeddings.position_embedding", # HunyuanOCR
             "vision_model.positional_embedding_vlm", # llama 4
             "vision_tower.patch_embed.pos_emb", # kimi-vl
             "visual.pos_embed", # qwen3vl
             "model.vision.patch_embedding.position_embedding", # cogvlm
             "visual.embeddings.position_embedding", # glm4v
             "vision_model.radio_model.model.patch_generator.pos_embed", # Nemotron Nano v2 VL
+            "model.vision_tower.patch_embedder.position_embedding_table", # gemma4
+            "vision_model.positional_embedding", # Step3-VL
+        ),
+
+        MODEL_TENSOR.V_ENC_EMBD_IMGNL: (
+            "model.image_newline",  # Deepseek-OCR
+            "vit.perceive.image_newline", # HunyuanOCR
+        ),
+
+        MODEL_TENSOR.V_ENC_EMBD_VSEP: (
+            "model.view_seperator",  # Deepseek-OCR
+            "vit.perceive.image_sep", # HunyuanOCR
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_QKV: (
             "visual.blocks.{bid}.attn.qkv", # qwen3vl
+            "vision_tower.blocks.{bid}.attn.qkv", # dots.ocr
             "model.vision.transformer.layers.{bid}.attention.query_key_value", # cogvlm
+            "model.vision_model.transformer.layers.{bid}.self_attn.qkv_proj", # Deepseek-OCR CLIP
             "vision_tower.encoder.blocks.{bid}.wqkv", # Kimi-K2.5
             "vision_model.radio_model.model.blocks.{bid}.attn.qkv", # Nemotron Nano v2 VL
+            "vision_model.transformer.resblocks.{bid}.attn.in_proj", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_Q: (
@@ -1410,18 +1457,22 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.q_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.q_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.q_proj", # SmolVLM
+            "vit.layers.{bid}.self_attn.q_proj", # HunyuanOCR
             "vision_model.model.layers.{bid}.self_attn.q_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.q_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention.wq", # pixtral
             "visual.blocks.{bid}.attn.q", # qwen2vl, generated
             "vision_tower.encoder.blocks.{bid}.wq", # kimi-vl, generated
             "siglip2.vision_model.encoder.layers.{bid}.self_attn.q_proj", # youtuvl
+            "model.vision_model.transformer.layers.{bid}.self_attn.q_proj", # Deepseek-OCR CLIP, generated
+            "vision_model.model.layers.{bid}.self_attn.q_proj.linear", # gemma4
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_Q_NORM: (
             "vision_tower.vision_model.encoder.layers.{bid}.attn.q_norm", # InternVL
             "model.vision_tower.encoder.layer.{bid}.attention.q_norm", # Intern-S1
             "visual.blocks.{bid}.attn.q_norm", # GLM-OCR
+            "vision_model.model.layers.{bid}.self_attn.q_norm", # gemma4
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_K: (
@@ -1429,18 +1480,22 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.k_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.k_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.k_proj", # SmolVLM
+            "vit.layers.{bid}.self_attn.k_proj", # HunyuanOCR
             "vision_model.model.layers.{bid}.self_attn.k_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.k_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention.wk", # pixtral
             "visual.blocks.{bid}.attn.k", # qwen2vl, generated
             "vision_tower.encoder.blocks.{bid}.wk", # kimi-vl, generated
+            "model.vision_model.transformer.layers.{bid}.self_attn.k_proj", # Deepseek-OCR CLIP, generated
             "siglip2.vision_model.encoder.layers.{bid}.self_attn.k_proj",
+            "vision_model.model.layers.{bid}.self_attn.k_proj.linear", # gemma4
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_K_NORM: (
             "vision_tower.vision_model.encoder.layers.{bid}.attn.k_norm", # InternVL
             "model.vision_tower.encoder.layer.{bid}.attention.k_norm", # Intern-S1
             "visual.blocks.{bid}.attn.k_norm", # GLM-OCR
+            "vision_model.model.layers.{bid}.self_attn.k_norm", # gemma4
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_V: (
@@ -1448,12 +1503,15 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.v_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.v_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.v_proj", # SmolVLM
+            "vit.layers.{bid}.self_attn.v_proj", # HunyuanOCR
             "vision_model.model.layers.{bid}.self_attn.v_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.v_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention.wv", # pixtral
             "visual.blocks.{bid}.attn.v", # qwen2vl, generated
             "vision_tower.encoder.blocks.{bid}.wv", # kimi-vl, generated
             "siglip2.vision_model.encoder.layers.{bid}.self_attn.v_proj",
+            "model.vision_model.transformer.layers.{bid}.self_attn.v_proj", # Deepseek-OCR CLIP, generated
+            "vision_model.model.layers.{bid}.self_attn.v_proj.linear", # gemma4
         ),
 
         MODEL_TENSOR.V_ENC_INPUT_NORM: (
@@ -1462,14 +1520,18 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.layernorm_before", # Intern-S1
             "vpm.encoder.layers.{bid}.layer_norm1",
             "model.vision_model.encoder.layers.{bid}.layer_norm1", # SmolVLM
+            "vit.layers.{bid}.input_layernorm", # HunyuanOCR
             "vision_tower.transformer.layers.{bid}.attention_norm", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention_norm", # pixtral
-            "vision_model.model.layers.{bid}.input_layernorm", # llama4
+            "vision_model.model.layers.{bid}.input_layernorm", # llama4, gemma4
             "visual.blocks.{bid}.norm1", # qwen2vl
             "vision_tower.encoder.blocks.{bid}.norm0", # kimi-vl (norm0/norm1)
             "model.vision.transformer.layers.{bid}.input_layernorm", # cogvlm
+            "model.vision_model.transformer.layers.{bid}.layer_norm1", # Deepseek-OCR CLIP
             "siglip2.vision_model.encoder.layers.{bid}.layer_norm1",
             "vision_model.radio_model.model.blocks.{bid}.norm1", # Nemotron Nano v2 VL
+            "vision_tower.blocks.{bid}.norm1", # dots.ocr
+            "vision_model.transformer.resblocks.{bid}.ln_1", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_O: (
@@ -1478,6 +1540,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.projection_layer", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.out_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.out_proj", # SmolVLM
+            "vit.layers.{bid}.self_attn.o_proj", # HunyuanOCR
             "model.vision_model.encoder.layers.{bid}.self_attn.projection_layer", # Janus Pro
             "vision_model.model.layers.{bid}.self_attn.o_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.o_proj", # pixtral-hf
@@ -1485,8 +1548,12 @@ class TensorNameMap:
             "visual.blocks.{bid}.attn.proj", # qwen2vl
             "vision_tower.encoder.blocks.{bid}.wo", # kimi-vl
             "model.vision.transformer.layers.{bid}.attention.dense", # cogvlm
+            "model.vision_model.transformer.layers.{bid}.self_attn.out_proj", # Deepseek-OCR CLIP
             "siglip2.vision_model.encoder.layers.{bid}.self_attn.out_proj", # youtuvl
             "vision_model.radio_model.model.blocks.{bid}.attn.proj", # Nemotron Nano v2 VL
+            "vision_model.model.layers.{bid}.self_attn.o_proj.linear", # gemma4
+            "vision_tower.blocks.{bid}.attn.proj", # dots.ocr
+            "vision_model.transformer.resblocks.{bid}.attn.out_proj", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_POST_ATTN_NORM: (
@@ -1495,14 +1562,19 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.layernorm_after", # Intern-S1
             "vpm.encoder.layers.{bid}.layer_norm2",
             "model.vision_model.encoder.layers.{bid}.layer_norm2", # SmolVLM
+            "vit.layers.{bid}.post_attention_layernorm", # HunyuanOCR
             "vision_model.model.layers.{bid}.post_attention_layernorm", # llama4
             "vision_tower.transformer.layers.{bid}.ffn_norm", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.ffn_norm", # pixtral
             "visual.blocks.{bid}.norm2", # qwen2vl
             "vision_tower.encoder.blocks.{bid}.norm1", # kimi-vl (norm0/norm1)
             "model.vision.transformer.layers.{bid}.post_attention_layernorm", # cogvlm
+            "model.vision_model.transformer.layers.{bid}.layer_norm2", # Deepseek-OCR CLIP
             "siglip2.vision_model.encoder.layers.{bid}.layer_norm2",
             "vision_model.radio_model.model.blocks.{bid}.norm2", # Nemotron Nano v2 VL
+            "vision_model.model.layers.{bid}.pre_feedforward_layernorm", # gemma4
+            "vision_tower.blocks.{bid}.norm2", # dots.ocr
+            "vision_model.transformer.resblocks.{bid}.ln_2", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_FFN_UP: (
@@ -1510,6 +1582,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.mlp.fc1", # Intern-S1
             "vpm.encoder.layers.{bid}.mlp.fc1",
             "model.vision_model.encoder.layers.{bid}.mlp.fc1", # SmolVLM, gemma3
+            "vit.layers.{bid}.mlp.dense_h_to_4h", # HunyuanOCR
             "vision_tower.transformer.layers.{bid}.feed_forward.up_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.feed_forward.w3", # pixtral
             "vision_model.model.layers.{bid}.mlp.fc1", # llama4
@@ -1517,15 +1590,19 @@ class TensorNameMap:
             "visual.blocks.{bid}.mlp.up_proj", # qwen2.5vl
             "visual.blocks.{bid}.mlp.linear_fc1", # qwen3vl
             "vision_tower.encoder.blocks.{bid}.mlp.fc0", # kimi-vl (fc0/fc1)
+            "model.vision_model.transformer.layers.{bid}.mlp.fc1", # Deepseek-OCR CLIP
             "model.vision.transformer.layers.{bid}.mlp.fc1", # cogvlm
             "siglip2.vision_model.encoder.layers.{bid}.mlp.fc1",
             "vision_model.radio_model.model.blocks.{bid}.mlp.fc1", # Nemotron Nano v2 VL
+            "vision_model.model.layers.{bid}.mlp.up_proj", # gemma4
+            "vision_model.transformer.resblocks.{bid}.mlp.c_fc", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_FFN_GATE: (
             "vision_tower.transformer.layers.{bid}.feed_forward.gate_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.feed_forward.w1", # pixtral
             "visual.blocks.{bid}.mlp.gate_proj", # qwen2.5vl
+            "vision_model.model.layers.{bid}.mlp.gate_proj", # gemma4
         ),
 
         MODEL_TENSOR.V_ENC_FFN_DOWN: (
@@ -1533,6 +1610,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.mlp.fc2", # Intern-S1
             "vpm.encoder.layers.{bid}.mlp.fc2",
             "model.vision_model.encoder.layers.{bid}.mlp.fc2", # SmolVLM, gemma3
+            "vit.layers.{bid}.mlp.dense_4h_to_h", # HunyuanOCR
             "vision_tower.transformer.layers.{bid}.feed_forward.down_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.feed_forward.w2", # pixtral
             "vision_model.model.layers.{bid}.mlp.fc2", # llama4
@@ -1541,18 +1619,35 @@ class TensorNameMap:
             "visual.blocks.{bid}.mlp.linear_fc2", # qwen3vl
             "vision_tower.encoder.blocks.{bid}.mlp.fc1", # kimi-vl (fc0/fc1)
             "model.vision.transformer.layers.{bid}.mlp.fc2", # cogvlm
+            "model.vision_model.transformer.layers.{bid}.mlp.fc2", # Deepseek-OCR CLIP
             "siglip2.vision_model.encoder.layers.{bid}.mlp.fc2",
             "vision_model.radio_model.model.blocks.{bid}.mlp.fc2", # Nemotron Nano v2 VL
+            "vision_model.model.layers.{bid}.mlp.down_proj", # gemma4
+            "vision_model.transformer.resblocks.{bid}.mlp.c_proj", # Step3-VL
+        ),
+
+        MODEL_TENSOR.V_ENC_ATTN_POST_NORM: (
+            "vision_model.model.layers.{bid}.post_attention_layernorm", # gemma4
+        ),
+
+        MODEL_TENSOR.V_ENC_FFN_POST_NORM: (
+            "vision_model.model.layers.{bid}.post_feedforward_layernorm", # gemma4
         ),
 
         MODEL_TENSOR.V_LAYER_SCALE_1: (
             "vision_tower.vision_model.encoder.layers.{bid}.ls1", # InternVL
             "model.vision_tower.encoder.layer.{bid}.lambda_1", # Intern-S1
+            "vision_model.transformer.resblocks.{bid}.ls_1", # Step3-VL
         ),
 
         MODEL_TENSOR.V_LAYER_SCALE_2: (
             "vision_tower.vision_model.encoder.layers.{bid}.ls2", # InternVL
             "model.vision_tower.encoder.layer.{bid}.lambda_2", # Intern-S1
+            "vision_model.transformer.resblocks.{bid}.ls_2", # Step3-VL
+        ),
+
+        MODEL_TENSOR.V_LAYER_OUT_SCALE: (
+            "vision_model.model.layers.{bid}.layer_scalar", # gemma4
         ),
 
         MODEL_TENSOR.V_PRE_NORM: (
@@ -1560,6 +1655,9 @@ class TensorNameMap:
             "vision_tower.ln_pre", # pixtral-hf
             "vision_encoder.ln_pre", # pixtral
             "vision_model.layernorm_pre", # llama4
+            "model.vision_model.pre_layrnorm", # Deepseek-OCR CLIP
+            "vision_tower.patch_embed.patchifier.norm", # dots.ocr
+            "vision_model.ln_pre", # Step3-VL
         ),
 
         MODEL_TENSOR.V_POST_NORM: (
@@ -1574,6 +1672,8 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_MM_POST_NORM: (
             "visual.merger.post_projection_norm", # glm4v
+            "vision_tower.post_trunk_norm", # dots.ocr
+            "vit.perceive.after_rms", # HunyuanOCR
         ),
 
         MODEL_TENSOR.V_MM_INP_PROJ: (
@@ -1589,6 +1689,7 @@ class TensorNameMap:
             "model.vision.linear_proj.norm1", # cogvlm
             "mlp_AR.pre_norm", # PaddleOCR-VL
             "merger.ln_q",
+            "vision_tower.merger.ln_q", # dots.ocr
         ),
 
         MODEL_TENSOR.V_MM_SOFT_EMB_NORM: (
@@ -1662,6 +1763,58 @@ class TensorNameMap:
             "model.visual.deepstack_merger_list.{bid}.linear_fc2", # deepstack in qwen3vl
         ),
 
+        MODEL_TENSOR.V_SAM_POS_EMBD: (
+            "model.sam_model.pos_embed",
+        ),
+
+        MODEL_TENSOR.V_SAM_PATCH_EMBD: (
+            "model.sam_model.patch_embed.proj",
+        ),
+
+        MODEL_TENSOR.V_SAM_PRE_NORM: (
+            "model.sam_model.blocks.{bid}.norm1", # deepstack in qwen3vl
+        ),
+
+        MODEL_TENSOR.V_SAM_POST_NORM: (
+            "model.sam_model.blocks.{bid}.norm2", # deepstack in qwen3vl
+        ),
+
+        MODEL_TENSOR.V_SAM_ATTN_POS_H: (
+            "model.sam_model.blocks.{bid}.attn.rel_pos_h",
+        ),
+
+        MODEL_TENSOR.V_SAM_ATTN_POS_W: (
+            "model.sam_model.blocks.{bid}.attn.rel_pos_w",
+        ),
+
+        MODEL_TENSOR.V_SAM_ATTN_QKV: (
+            "model.sam_model.blocks.{bid}.attn.qkv",
+        ),
+
+        MODEL_TENSOR.V_SAM_ATTN_OUT: (
+            "model.sam_model.blocks.{bid}.attn.proj",
+        ),
+
+        MODEL_TENSOR.V_SAM_MLP_LIN_1: (
+            "model.sam_model.blocks.{bid}.mlp.lin1",
+        ),
+
+        MODEL_TENSOR.V_SAM_MLP_LIN_2: (
+            "model.sam_model.blocks.{bid}.mlp.lin2",
+        ),
+
+        MODEL_TENSOR.V_SAM_NECK: (
+            "model.sam_model.neck.{bid}",
+        ),
+
+        MODEL_TENSOR.V_SAM_NET_2: (
+            "model.sam_model.net_2",
+        ),
+
+        MODEL_TENSOR.V_SAM_NET_3: (
+            "model.sam_model.net_3",
+        ),
+
         MODEL_TENSOR.V_MM_POST_FC_NORM: (
             "model.vision.linear_proj.norm1", # cogvlm
         ),
@@ -1689,6 +1842,26 @@ class TensorNameMap:
             "model.vision.eoi", # cogvlm
         ),
 
+        MODEL_TENSOR.V_MM_PRE_NORM: (
+            "vit.perceive.before_rms", # HunyuanOCR
+        ),
+
+        MODEL_TENSOR.V_TOK_IMG_BEGIN: (
+            "vit.perceive.image_begin", # HunyuanOCR
+        ),
+
+        MODEL_TENSOR.V_TOK_IMG_END: (
+            "vit.perceive.image_end", # HunyuanOCR
+        ),
+
+        MODEL_TENSOR.V_STD_BIAS: (
+            "model.vision_tower.std_bias", # gemma4
+        ),
+
+        MODEL_TENSOR.V_STD_SCALE: (
+            "model.vision_tower.std_scale", # gemma4
+        ),
+
         # audio (mtmd)
 
         MODEL_TENSOR.A_ENC_EMBD_POS: (
@@ -1708,10 +1881,23 @@ class TensorNameMap:
             "audio_tower.conv{bid}", # ultravox
             "conformer.pre_encode.conv.{bid}", # lfm2
             "model.audio_tower.subsample_conv_projection.conv_{bid}.conv", # gemma3n
+            "conformer.subsample_conv_projection.layer{bid}.conv", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_CONV1D_NORM: (
-            "model.audio_tower.subsample_conv_projection.conv_{bid}.norm", # gemma3n
+            "conformer.subsample_conv_projection.layer{bid}.norm", # gemma4
+        ),
+
+        MODEL_TENSOR.A_ENC_INP_PROJ: (
+            "conformer.subsample_conv_projection.input_proj_linear", # gemma4
+        ),
+
+        MODEL_TENSOR.A_ENC_CONV2D: (
+            "audio_tower.conv2d{bid}", # qwen3omni
+        ),
+
+        MODEL_TENSOR.A_ENC_CONV_OUT: (
+            "audio_tower.conv_out", # qwen3omni
         ),
 
         MODEL_TENSOR.A_PRE_NORM: (),
@@ -1725,22 +1911,38 @@ class TensorNameMap:
             "audio_tower.layers.{bid}.self_attn.q_proj", # ultravox
             "conformer.layers.{bid}.self_attn.linear_q", # lfm2
             "conformer.layers.{bid}.attention.attn.q_proj", # gemma3n
+            "conformer.layers.{bid}.self_attn.q_proj", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_ATTN_K: (
             "audio_tower.layers.{bid}.self_attn.k_proj", # ultravox
             "conformer.layers.{bid}.self_attn.linear_k", # lfm2
             "conformer.layers.{bid}.attention.attn.k_proj", # gemma3n
+            "conformer.layers.{bid}.self_attn.k_proj", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_ATTN_V: (
             "audio_tower.layers.{bid}.self_attn.v_proj", # ultravox
             "conformer.layers.{bid}.self_attn.linear_v", # lfm2
             "conformer.layers.{bid}.attention.attn.v_proj", # gemma3n
+            "conformer.layers.{bid}.self_attn.v_proj", # gemma4
+        ),
+
+        MODEL_TENSOR.A_ENC_ATTN_K_REL: (
+            "conformer.layers.{bid}.self_attn.relative_k_proj", # gemma4
+        ),
+
+        MODEL_TENSOR.A_ENC_ATTN_POST_NORM: (
+            "conformer.layers.{bid}.norm_post_attn", # gemma4
+        ),
+
+        MODEL_TENSOR.A_ENC_ATTN_PRE_NORM: (
+            "conformer.layers.{bid}.norm_pre_attn", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_PER_DIM_SCALE: (
             "conformer.layers.{bid}.attention.attn.per_dim_scale", # gemma3n
+            "conformer.layers.{bid}.self_attn.per_dim_scale", # gemma3n
         ),
 
         MODEL_TENSOR.A_ENC_LAYER_PRE_NORM: (
@@ -1757,6 +1959,7 @@ class TensorNameMap:
             "audio_tower.layers.{bid}.self_attn.out_proj", # ultravox
             "conformer.layers.{bid}.self_attn.linear_out", # lfm2
             "conformer.layers.{bid}.attention.post", # gemma3n
+            "conformer.layers.{bid}.self_attn.post", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_OUTPUT_NORM: (
@@ -1768,10 +1971,12 @@ class TensorNameMap:
         MODEL_TENSOR.A_ENC_FFN_NORM: (
             "conformer.layers.{bid}.norm_feed_forward1", # lfm2
             "conformer.layers.{bid}.ffw_layer_start.pre_layer_norm", # gemma3n
+            "conformer.layers.{bid}.feed_forward1.pre_layer_norm", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_POST_NORM: (
             "conformer.layers.{bid}.ffw_layer_start.post_layer_norm", # gemma3n
+            "conformer.layers.{bid}.feed_forward1.post_layer_norm", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_SCALE: (
@@ -1782,6 +1987,7 @@ class TensorNameMap:
             "audio_tower.layers.{bid}.fc1", # ultravox
             "conformer.layers.{bid}.feed_forward1.linear1", # lfm2
             "conformer.layers.{bid}.ffw_layer_start.ffw_layer_1", # gemma3n
+            "conformer.layers.{bid}.feed_forward1.ffw_layer_1", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_GATE: (),
@@ -1790,25 +1996,30 @@ class TensorNameMap:
             "audio_tower.layers.{bid}.fc2", # ultravox
             "conformer.layers.{bid}.feed_forward1.linear2", # lfm2
             "conformer.layers.{bid}.ffw_layer_start.ffw_layer_2", # gemma3n
+            "conformer.layers.{bid}.feed_forward1.ffw_layer_2", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_UP_1: (
             "conformer.layers.{bid}.feed_forward2.linear1", # lfm2
             "conformer.layers.{bid}.ffw_layer_end.ffw_layer_1", # gemma3n
+            "conformer.layers.{bid}.feed_forward2.ffw_layer_1", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_DOWN_1: (
             "conformer.layers.{bid}.feed_forward2.linear2", # lfm2
             "conformer.layers.{bid}.ffw_layer_end.ffw_layer_2", # gemma3n
+            "conformer.layers.{bid}.feed_forward2.ffw_layer_2", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_NORM_1: (
             "conformer.layers.{bid}.norm_feed_forward2", # lfm2
             "conformer.layers.{bid}.ffw_layer_end.pre_layer_norm", # gemma3n
+            "conformer.layers.{bid}.feed_forward2.pre_layer_norm", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_POST_NORM_1: (
             "conformer.layers.{bid}.ffw_layer_end.post_layer_norm", # gemma3n
+            "conformer.layers.{bid}.feed_forward2.post_layer_norm", # gemma4
         ),
 
         MODEL_TENSOR.A_ENC_FFN_SCALE_1: (
@@ -1830,20 +2041,23 @@ class TensorNameMap:
 
         MODEL_TENSOR.A_ENC_OUT: (
             "conformer.pre_encode.out", # lfm2
-            "model.audio_tower.subsample_conv_projection.input_proj_linear", # gemma3n
+            "model.audio_tower.subsample_conv_projection.input_proj_linear", # gemma3n (note: it should be A_ENC_INP_PROJ, this is a mistake; it should be corrected in C++ code when it's supported)
+            "conformer.output_proj", # gemma4
         ),
 
         # note: some tensors below has "audio." pseudo-prefix, to prevent conflicts with vision tensors
         # this prefix is added in the conversion code in modify_tensors()
 
         MODEL_TENSOR.A_MMPROJ: (
-            "audio.multi_modal_projector.linear_{bid}", # ultravox
-            "audio_adapter.model.{bid}" # lfm2
+            "audio.multi_modal_projector.linear_{bid}", # ultravox, meralion
+            "audio_adapter.model.{bid}", # lfm2
+            "audio_tower.proj{bid}", # qwen3omni
         ),
 
         MODEL_TENSOR.A_MMPROJ_FC: (
             "audio.multi_modal_projector.linear", # qwen2audio
             "audio_tower.proj", # qwen2omni
+            "model.audio_tower.output_proj" # gemma4
         ),
 
         MODEL_TENSOR.A_MM_NORM_PRE: (
@@ -1879,6 +2093,14 @@ class TensorNameMap:
             "conformer.layers.{bid}.lconv1d.conv_norm", # gemma3n
         ),
 
+        MODEL_TENSOR.A_PER_DIM_K_SCALE: (
+            "conformer.layers.{bid}.attention.attn.per_dim_key_scale", # gemma4
+        ),
+
+        MODEL_TENSOR.A_PER_DIM_SCALE: (
+            "conformer.layers.{bid}.attention.attn.per_dim_scale", # gemma4
+        ),
+
         MODEL_TENSOR.A_MM_EMBEDDING: (
             "model.embed_audio.embedding", # gemma3n
         ),
diff --git a/gguf-py/gguf/vocab.py b/gguf-py/gguf/vocab.py
index 028e5748e4d94fa07fd1da49ec1562ef36c19a14..09a9b7d1835f46a1895216e45ab4a4f8d97a1373 100644
--- a/gguf-py/gguf/vocab.py
+++ b/gguf-py/gguf/vocab.py
@@ -11,33 +11,33 @@ from typing import Any, Callable, Sequence, Mapping, Iterable, Protocol, ClassVa
 try:
     from sentencepiece import SentencePieceProcessor
 except ImportError:
-    SentencePieceProcessor = None
+    SentencePieceProcessor: Any = None
 
 try:
-    from mistral_common.tokens.tokenizers.mistral import MistralTokenizer # pyright: ignore[reportMissingImports]
-    from mistral_common.tokens.tokenizers.tekken import Tekkenizer # pyright: ignore[reportMissingImports]
-    from mistral_common.tokens.tokenizers.utils import ( # pyright: ignore[reportMissingImports]
+    from mistral_common.tokens.tokenizers.mistral import MistralTokenizer # type: ignore[import-not-found, ty:unresolved-import]
+    from mistral_common.tokens.tokenizers.tekken import Tekkenizer # type: ignore[import-not-found, ty:unresolved-import]
+    from mistral_common.tokens.tokenizers.utils import ( # type: ignore[import-not-found, ty:unresolved-import]
         _filter_valid_tokenizer_files,
     )
-    from mistral_common.tokens.tokenizers.sentencepiece import ( # pyright: ignore[reportMissingImports]
+    from mistral_common.tokens.tokenizers.sentencepiece import ( # type: ignore[import-not-found, ty:unresolved-import]
         SentencePieceTokenizer,
     )
 except ImportError:
     _mistral_common_installed = False
-    MistralTokenizer = None
-    Tekkenizer = None
-    SentencePieceTokenizer = None
-    _filter_valid_tokenizer_files = None
+    MistralTokenizer: Any = None
+    Tekkenizer: Any = None
+    SentencePieceTokenizer: Any = None
+    _filter_valid_tokenizer_files: Any = None
 else:
     _mistral_common_installed = True
 
 try:
-    from mistral_common.tokens.tokenizers.utils import ( # pyright: ignore[reportMissingImports]
+    from mistral_common.tokens.tokenizers.utils import ( # type: ignore[import-not-found, ty:unresolved-import]
         get_one_valid_tokenizer_file,
     )
 except ImportError:
     # We still want the conversion to work with older mistral-common versions.
-    get_one_valid_tokenizer_file = None
+    get_one_valid_tokenizer_file: Any = None
 
 
 import gguf
@@ -543,7 +543,7 @@ class LlamaHfVocab(Vocab):
             cache_dir=base_path,
             local_files_only=True,
         )
-        assert self.tokenizer.is_fast  # assume tokenizer.json is used
+        assert self.tokenizer.is_fast  # assume tokenizer.json is used  # ty: ignore[unresolved-attribute]
 
         # Initialize lists and dictionaries for added tokens
         self.added_tokens_list = []
@@ -552,30 +552,30 @@ class LlamaHfVocab(Vocab):
 
         # Process added tokens
         for tok, tokidx in sorted(
-            self.tokenizer.get_added_vocab().items(), key=lambda x: x[1]
+            self.tokenizer.get_added_vocab().items(), key=lambda x: x[1]  # ty: ignore[unresolved-attribute]
         ):
             # Only consider added tokens that are not in the base vocabulary
-            if tokidx >= self.tokenizer.vocab_size:
+            if tokidx >= self.tokenizer.vocab_size:  # ty: ignore[unresolved-attribute]
                 self.added_tokens_list.append(tok)
                 self.added_tokens_dict[tok] = tokidx
                 self.added_tokens_ids.add(tokidx)
 
         # Store special tokens and their IDs
         self.specials = {
-            tok: self.tokenizer.get_vocab()[tok]
-            for tok in self.tokenizer.all_special_tokens
+            tok: self.tokenizer.get_vocab()[tok]  # ty: ignore[unresolved-attribute]
+            for tok in self.tokenizer.all_special_tokens  # ty: ignore[unresolved-attribute]
         }
-        self.special_ids = set(self.tokenizer.all_special_ids)
+        self.special_ids = set(self.tokenizer.all_special_ids)  # ty: ignore[unresolved-attribute]
 
         # Set vocabulary sizes
-        self.vocab_size_base = self.tokenizer.vocab_size
+        self.vocab_size_base = self.tokenizer.vocab_size  # ty: ignore[unresolved-attribute]
         self.vocab_size      = self.vocab_size_base + len(self.added_tokens_list)
 
         self.fname_tokenizer = fname_tokenizer
 
     def hf_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
         reverse_vocab = {
-            id: encoded_tok for encoded_tok, id in self.tokenizer.get_vocab().items()
+            id: encoded_tok for encoded_tok, id in self.tokenizer.get_vocab().items()  # ty: ignore[unresolved-attribute]
         }
 
         for token_id in range(self.vocab_size_base):
@@ -616,7 +616,7 @@ class LlamaHfVocab(Vocab):
             yield text.encode("utf-8"), score, toktype
 
     def has_newline_token(self):
-        return "<0x0A>" in self.tokenizer.vocab or "\n" in self.tokenizer.vocab
+        return "<0x0A>" in self.tokenizer.vocab or "\n" in self.tokenizer.vocab  # ty: ignore[unresolved-attribute]
 
     def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
         yield from self.hf_tokens()
@@ -703,7 +703,7 @@ class MistralVocab(Vocab):
 
             tokenizer_file_path = base_path / tokenizer_file
 
-        self.tokenizer = MistralTokenizer.from_file(
+        self.tokenizer: Any = MistralTokenizer.from_file(
             tokenizer_file_path
         ).instruct_tokenizer.tokenizer
         self.tokenizer_type = (
diff --git a/include/llama.h b/include/llama.h
index 6e72db7e3cd177c7f3acd3e8ef51e83ffdb9377a..eb8698140978eeeb350b861049e2d64f476bcab2 100644
--- a/include/llama.h
+++ b/include/llama.h
@@ -154,6 +154,7 @@ extern "C" {
         LLAMA_FTYPE_MOSTLY_TQ2_0         = 37, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_MXFP4_MOE     = 38, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_NVFP4         = 39, // except 1d tensors
+        LLAMA_FTYPE_MOSTLY_Q1_0          = 40, // except 1d tensors
 
         LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file
     };
@@ -191,9 +192,10 @@ extern "C" {
     LLAMA_API const char * llama_flash_attn_type_name(enum llama_flash_attn_type flash_attn_type);
 
     enum llama_split_mode {
-        LLAMA_SPLIT_MODE_NONE  = 0, // single GPU
-        LLAMA_SPLIT_MODE_LAYER = 1, // split layers and KV across GPUs
-        LLAMA_SPLIT_MODE_ROW   = 2, // split layers and KV across GPUs, use tensor parallelism if supported
+        LLAMA_SPLIT_MODE_NONE   = 0, // single GPU
+        LLAMA_SPLIT_MODE_LAYER  = 1, // split layers and KV across GPUs
+        LLAMA_SPLIT_MODE_ROW    = 2, // split layers and KV across GPUs, use tensor parallelism if supported
+        LLAMA_SPLIT_MODE_TENSOR = 3,
     };
 
     // TODO: simplify (https://github.com/ggml-org/llama.cpp/pull/9294#pullrequestreview-2286561979)
@@ -380,22 +382,33 @@ extern "C" {
         size_t                            n_samplers;
     };
 
+    struct llama_model_tensor_override {
+        const char * pattern;
+        enum ggml_type type;
+    };
+
+    struct llama_model_imatrix_data {
+        const char * name;
+        const float * data;
+        size_t size;
+    };
+
     // model quantization parameters
     typedef struct llama_model_quantize_params {
-        int32_t nthread;                      // number of threads to use for quantizing, if <=0 will use std::thread::hardware_concurrency()
-        enum llama_ftype ftype;               // quantize to this llama_ftype
-        enum ggml_type output_tensor_type;    // output tensor type
-        enum ggml_type token_embedding_type;  // token embeddings tensor type
-        bool allow_requantize;                // allow quantizing non-f32/f16 tensors
-        bool quantize_output_tensor;          // quantize output.weight
-        bool only_copy;                       // only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
-        bool pure;                            // quantize all tensors to the default type
-        bool keep_split;                      // quantize to the same number of shards
-        bool dry_run;                         // calculate and show the final quantization size without performing quantization
-        void * imatrix;                       // pointer to importance matrix data
-        void * kv_overrides;                  // pointer to vector containing overrides
-        void * tensor_types;                  // pointer to vector containing tensor types
-        void * prune_layers;                  // pointer to vector containing layer indices to prune
+        int32_t nthread;                                            // number of threads to use for quantizing, if <=0 will use std::thread::hardware_concurrency()
+        enum llama_ftype ftype;                                     // quantize to this llama_ftype
+        enum ggml_type output_tensor_type;                          // output tensor type
+        enum ggml_type token_embedding_type;                        // token embeddings tensor type
+        bool allow_requantize;                                      // allow quantizing non-f32/f16 tensors
+        bool quantize_output_tensor;                                // quantize output.weight
+        bool only_copy;                                             // only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
+        bool pure;                                                  // quantize all tensors to the default type
+        bool keep_split;                                            // quantize to the same number of shards
+        bool dry_run;                                               // calculate and show the final quantization size without performing quantization
+        const struct llama_model_imatrix_data * imatrix;            // pointer to importance matrix data
+        const struct llama_model_kv_override * kv_overrides;        // pointer to kv overrides
+        const struct llama_model_tensor_override * tt_overrides;    // pointer to tensor overrides
+        const int32_t * prune_layers;                               // pointer to layer indices to prune
     } llama_model_quantize_params;
 
     typedef struct llama_logit_bias {
@@ -465,6 +478,11 @@ extern "C" {
                              const char * path_model,
               struct llama_model_params   params);
 
+    // Load a model from an open FILE pointer
+    LLAMA_API struct llama_model * llama_model_load_from_file_ptr(
+                                   FILE * file,
+              struct llama_model_params   params);
+
     // Load a model from multiple splits (support custom naming scheme)
     // The paths must be in the correct order
     LLAMA_API struct llama_model * llama_model_load_from_splits(
@@ -493,27 +511,6 @@ extern "C" {
     // Frees all allocated memory
     LLAMA_API void llama_free(struct llama_context * ctx);
 
-    enum llama_params_fit_status {
-        LLAMA_PARAMS_FIT_STATUS_SUCCESS = 0, // found allocations that are projected to fit
-        LLAMA_PARAMS_FIT_STATUS_FAILURE = 1, // could not find allocations that are projected to fit
-        LLAMA_PARAMS_FIT_STATUS_ERROR   = 2, // a hard error occurred, e.g. because no model could be found at the specified path
-    };
-
-    // fits mparams and cparams to free device memory (assumes system memory is unlimited)
-    //   - returns true if the parameters could be successfully modified to fit device memory
-    //   - this function is NOT thread safe because it modifies the global llama logger state
-    //   - only parameters that have the same value as in llama_default_model_params are modified
-    //     with the exception of the context size which is modified if and only if equal to 0
-    LLAMA_API enum llama_params_fit_status llama_params_fit(
-                                   const char   * path_model,
-                    struct llama_model_params   * mparams,
-                    struct llama_context_params * cparams,
-                                          float * tensor_split,          // writable buffer for tensor split, needs at least llama_max_devices elements
-        struct llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
-                                         size_t * margins,               // margins of memory to leave per device in bytes
-                                       uint32_t   n_ctx_min,             // minimum context size to set when trying to reduce memory use
-                            enum ggml_log_level   log_level);            // minimum log level to print during fitting, lower levels go to debug log
-
     LLAMA_API int64_t llama_time_us(void);
 
     LLAMA_API size_t llama_max_devices(void);
@@ -1528,9 +1525,6 @@ extern "C" {
     LLAMA_API void                           llama_perf_sampler_print(const struct llama_sampler * chain);
     LLAMA_API void                           llama_perf_sampler_reset(      struct llama_sampler * chain);
 
-    // print a breakdown of per-device memory use via LLAMA_LOG:
-    LLAMA_API void llama_memory_breakdown_print(const struct llama_context * ctx);
-
     //
     // training
     //
diff --git a/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja
index a60a95f44d24a9a2cdc6d0ca3017c0b31615e078..8a282b8231bdd14589d208df3ea881b1311f0aa1 100644
--- a/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja
+++ b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja
@@ -7,7 +7,6 @@
 {%- set available_tool_string = '' -%}
 {%- set add_tool_id = true -%}
 {%- set add_thoughts = true -%}            {# whether to include <thinking> reasoning blocks #}
-{%- set add_generation_prompt = true -%}      {# whether to emit reasoning starter before assistant response #}
 {# Optional token placeholders (safe defaults) #}
 {%- set bos_token = bos_token or '' -%}
 {%- set eos_token = eos_token or '' -%}
diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
index 9e6ec845d3901690b3a714cdd9ab1e56be01ef79..7349ce9eca9dd2c96a59293655d1ff38b7d0a579 100644
--- a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
+++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
@@ -15,10 +15,10 @@
     {%- set ns.is_tool = false -%}
     {%- for tool in message['tool_calls']-%}
       {%- if not ns.is_first -%}
-        {{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+        {{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] | tojson + '\n' + '```' + '<｜tool▁call▁end｜>'}}
         {%- set ns.is_first = true -%}
       {%- else -%}
-        {{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+        {{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] | tojson + '\n' + '```' + '<｜tool▁call▁end｜>'}}
       {%- endif -%}
     {%- endfor -%}
     {{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
diff --git a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja
index 2fd1c415b88496b633b649bbfe3fdc645a18d3bd..e987c2a16e8c50da8376871c49202037834f1317 100644
--- a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja
+++ b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja
@@ -28,25 +28,25 @@
     {%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}
   {%- endif -%}
   {%- if message['role'] == 'assistant' and message['tool_calls'] -%}
-    {%- if ns.is_last_user -%}{{'<｜Assistant｜></think>'}}
+    {%- if ns.is_last_user -%}{{'<｜Assistant｜><think></think>'}}
     {%- endif -%}
     {%- set ns.is_last_user = false -%}
     {%- set ns.is_first = false -%}
     {%- set ns.is_tool = false -%}
     {%- for tool in message['tool_calls'] -%}
       {%- if not ns.is_first -%}
-        {%- if not message['content'] -%}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}
-          {%- else -%}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}
+        {%- if not message['content'] -%}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] | tojson + '<｜tool▁call▁end｜>'}}
+          {%- else -%}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] | tojson + '<｜tool▁call▁end｜>'}}
         {%- endif -%}
         {%- set ns.is_first = true -%}
-        {%- else -%}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}
+        {%- else -%}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] | tojson + '<｜tool▁call▁end｜>'}}
       {%- endif -%}
     {%- endfor -%}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
   {%- endif -%}
   {%- if message['role'] == 'assistant' and not message['tool_calls'] -%}
     {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}}
       {%- if message['prefix'] is defined and message['prefix'] and thinking -%}{{'<think>'}}
-        {%- else -%}{{'</think>'}}
+        {%- else -%}{{'<think></think>'}}
       {%- endif -%}
     {%- endif -%}
     {%- set ns.is_last_user = false -%}
@@ -65,7 +65,7 @@
   {%- endif -%}
 {%- endfor -%}
 {%- if add_generation_prompt and ns.is_last_user and not ns.is_tool -%}{{'<｜Assistant｜>'}}
-  {%- if not thinking -%}{{'</think>'}}
-    {%- else -%}{{'<think>'}}
+  {%- if not thinking -%}{{'<think></think>'}}
+  {%- else -%}{{'<think>'}}
   {%- endif -%}
 {%- endif %}
\ No newline at end of file
diff --git a/models/templates/llama-cpp-deepseek-r1.jinja b/models/templates/llama-cpp-deepseek-r1.jinja
index 0d18870870e5f1f212a163d5db900cfb037ae071..151b2edd0296ea56f487c3a3230916a301f9282c 100644
--- a/models/templates/llama-cpp-deepseek-r1.jinja
+++ b/models/templates/llama-cpp-deepseek-r1.jinja
@@ -49,7 +49,7 @@ Example function tool call syntax:
             {%- endif -%}
             {%- set tool_name = tc['function']['name'] -%}
             {%- set tool_args = tc['function']['arguments'] -%}
-            {{- '<｜tool▁call▁begin｜>' + tc['type'] + '<｜tool▁sep｜>' + tool_name + '\n' + '```json' + '\n' + tool_args + '\n' + '```' + '<｜tool▁call▁end｜>' -}}
+            {{- '<｜tool▁call▁begin｜>' + tc['type'] + '<｜tool▁sep｜>' + tool_name + '\n' + '```json' + '\n' + tool_args | tojson + '\n' + '```' + '<｜tool▁call▁end｜>' -}}
         {%- endfor -%}
         {{- '<｜tool▁calls▁end｜><｜end▁of▁sentence｜>' -}}
     {%- endif -%}
diff --git a/models/templates/meetkai-functionary-medium-v3.1.jinja b/models/templates/meetkai-functionary-medium-v3.1.jinja
index 29d64a215ae8290a6037d89a746ede147f00b0de..5f74b72f33308854ba6639d71aab54f63dc82c65 100644
--- a/models/templates/meetkai-functionary-medium-v3.1.jinja
+++ b/models/templates/meetkai-functionary-medium-v3.1.jinja
@@ -42,9 +42,9 @@
         {%- if 'tool_calls' in message and message['tool_calls'] -%}
             {%- for tool_call in message['tool_calls'] -%}
                 {%- if tool_call["function"]["name"] == "python" -%}
-                    {{ '<|python_tag|>' + tool_call['function']['arguments'] }}
+                    {{ '<|python_tag|>' + tool_call['function']['arguments'] | tojson }}
                 {%- else -%}
-                    {{ '<function=' + tool_call['function']['name'] + '>' + tool_call['function']['arguments'] + '</function>' }}
+                    {{ '<function=' + tool_call['function']['name'] + '>' + tool_call['function']['arguments'] | tojson + '</function>' }}
                 {%- endif -%}
             {%- endfor -%}
             {{ '<|eom_id|>' }}
diff --git a/pocs/vdot/CMakeLists.txt b/pocs/vdot/CMakeLists.txt
index 6235aec1fdade03f7c0e4c8abdfdf1c94f71b8b0..63ea06f66afec2877f7b13324ef43f1b584613b6 100644
--- a/pocs/vdot/CMakeLists.txt
+++ b/pocs/vdot/CMakeLists.txt
@@ -1,9 +1,3 @@
-set(TARGET llama-vdot)
-add_executable(${TARGET} vdot.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-set(TARGET llama-q8dot)
-add_executable(${TARGET} q8dot.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:77085c0b46fbf4c67f629692ff86b9fc7418856b737959d47b794a811109f0f4
+size 408
diff --git a/pyproject.toml b/pyproject.toml
index 422f53c7c721dad633cd250b7c3e572fcca0401a..35cd067083bb3273eeb13795a3a062f1a140964e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ classifiers = [
 python = ">=3.9"
 numpy = "^1.25.0"
 sentencepiece = ">=0.1.98,<0.3.0"
-transformers = ">=4.35.2,<5.0.0"
+transformers = "==5.5.1"
 protobuf = ">=4.21.0,<5.0.0"
 gguf = { path = "./gguf-py" }
 torch = { version = "^2.2.0", source = "pytorch" }
diff --git a/pyrightconfig.json b/pyrightconfig.json
index a7bc007bdc03d9e6d73ba1939981eacb86ee5136..14d84fdbe77558a3da956ba431806a3e2c3c9f5a 100644
--- a/pyrightconfig.json
+++ b/pyrightconfig.json
@@ -1,5 +1,5 @@
 {
-  "extraPaths": ["gguf-py", "examples/model-conversion/scripts"],
+  "extraPaths": ["gguf-py", "examples/model-conversion/scripts", "examples/model-conversion/scripts/utils"],
   "pythonVersion": "3.9",
   "pythonPlatform": "All",
   "reportUnusedImport": "warning",
diff --git a/readme.txt b/readme.txt
index 01f8f8933148746ab908b6b6b68183d936301af9..037d3fdff7cecca427520ec026196af4075e8dae 100644
--- a/readme.txt
+++ b/readme.txt
@@ -1,8 +1,3 @@
-
-see huggingface_echodict\SakuraLLM
-    用于运行这个模开型
-    todo: 基于 CUDA 13.0 编译
-
-see huggingface_echodict\whisper.cpp
-    已基于 CUDA 13.0 编译
-    用于运行这个模型 huggingface_echodict\KotobaASRLLM 
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a6cb547d0ab88f0f06e605aba554bc828c0bcc1b2482769697a0ee5ca483a21
+size 309
diff --git a/requirements/requirements-convert_legacy_llama.txt b/requirements/requirements-convert_legacy_llama.txt
index 4898bf7ee29dd3fab087f04d85762201455dbdc4..496055fd49e03cf0cb359aed2fecb75140cdbb60 100644
--- a/requirements/requirements-convert_legacy_llama.txt
+++ b/requirements/requirements-convert_legacy_llama.txt
@@ -1,7 +1,3 @@
-numpy~=1.26.4
-sentencepiece>=0.1.98,<0.3.0
-
-transformers>=4.57.1,<5.0.0
-
-gguf>=0.1.0
-protobuf>=4.21.0,<5.0.0
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ac44206dc06fb84eb361c4d8381a75b0af3f11edffe6e7a7312dc430d0c8db7
+size 108
diff --git a/requirements/requirements-pydantic.txt b/requirements/requirements-pydantic.txt
index 67d4c1e557d77694e9b7d8c6e8a3245dfaaa6dbe..f27563bf77f465a6c823443431a7d2182246d115 100644
--- a/requirements/requirements-pydantic.txt
+++ b/requirements/requirements-pydantic.txt
@@ -1,3 +1,3 @@
-docstring_parser~=0.15
-pydantic~=2.11.7
-requests
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f2f776fbc61eaed9bc25f6520b2adc6e8057e9c8511dbae69e6552d27a1afd1
+size 60
diff --git a/requirements/requirements-tool_bench.txt b/requirements/requirements-tool_bench.txt
index 3bb74fb9d0130273b4d0ee2bc373a5b4477eb07f..6c6c1602e33c53ff2723b4df2dede3764cf883d2 100644
--- a/requirements/requirements-tool_bench.txt
+++ b/requirements/requirements-tool_bench.txt
@@ -1,12 +1,3 @@
-aiohttp~=3.9.3
-pytest~=8.3.3
-huggingface_hub>=0.34.0,<1.0
-matplotlib~=3.10.0
-numpy~=1.26.4
-openai~=2.14.0
-pandas~=2.2.3
-prometheus-client~=0.20.0
-requests~=2.32.3
-wget~=3.2
-typer~=0.15.1
-seaborn~=0.13.2
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb9978fd6e23b8de9e9bcb74f95868acbaeb71f358ec47c1dc63728c5a748f70
+size 214
diff --git a/scripts/compare-llama-bench.py b/scripts/compare-llama-bench.py
index 14e75117c46893cf7779ed6d3423b53c6f932de8..5a6cc7dbb134160b1165d9405a1fa290100a7ca8 100644
--- a/scripts/compare-llama-bench.py
+++ b/scripts/compare-llama-bench.py
@@ -29,7 +29,8 @@ LLAMA_BENCH_DB_FIELDS = [
     "cpu_mask",     "cpu_strict",   "poll",           "type_k",     "type_v",       "n_gpu_layers",
     "split_mode",   "main_gpu",     "no_kv_offload",  "flash_attn", "tensor_split", "tensor_buft_overrides",
     "use_mmap",     "embeddings",   "no_op_offload",  "n_prompt",   "n_gen",        "n_depth",
-    "test_time",    "avg_ns",       "stddev_ns",      "avg_ts",     "stddev_ts",    "n_cpu_moe"
+    "test_time",    "avg_ns",       "stddev_ns",      "avg_ts",     "stddev_ts",    "n_cpu_moe",
+    "fit_target",   "fit_min_ctx"
 ]
 
 LLAMA_BENCH_DB_TYPES = [
@@ -39,6 +40,7 @@ LLAMA_BENCH_DB_TYPES = [
     "TEXT",    "INTEGER", "INTEGER", "INTEGER", "TEXT",    "TEXT",
     "INTEGER", "INTEGER", "INTEGER", "INTEGER", "INTEGER", "INTEGER",
     "TEXT",    "INTEGER", "INTEGER", "REAL",    "REAL",    "INTEGER",
+    "INTEGER", "INTEGER"
 ]
 
 # All test-backend-ops SQL fields
@@ -61,7 +63,8 @@ assert len(TEST_BACKEND_OPS_DB_FIELDS) == len(TEST_BACKEND_OPS_DB_TYPES)
 LLAMA_BENCH_KEY_PROPERTIES = [
     "cpu_info", "gpu_info", "backends", "n_gpu_layers", "n_cpu_moe", "tensor_buft_overrides", "model_filename", "model_type",
     "n_batch", "n_ubatch", "embeddings", "cpu_mask", "cpu_strict", "poll", "n_threads", "type_k", "type_v",
-    "use_mmap", "no_kv_offload", "split_mode", "main_gpu", "tensor_split", "flash_attn", "n_prompt", "n_gen", "n_depth"
+    "use_mmap", "no_kv_offload", "split_mode", "main_gpu", "tensor_split", "flash_attn", "n_prompt", "n_gen", "n_depth",
+    "fit_target", "fit_min_ctx"
 ]
 
 # Properties by which to differentiate results per commit for test-backend-ops:
@@ -684,6 +687,7 @@ else:
     sys.exit(1)
 
 
+assert isinstance(hexsha8_baseline, str)
 name_baseline = bench_data.get_commit_name(hexsha8_baseline)
 
 hexsha8_compare = name_compare = None
@@ -717,6 +721,7 @@ else:
     parser.print_help()
     sys.exit(1)
 
+assert isinstance(hexsha8_compare, str)
 name_compare = bench_data.get_commit_name(hexsha8_compare)
 
 # Get tool-specific configuration
diff --git a/scripts/fetch_server_test_models.py b/scripts/fetch_server_test_models.py
index ac483ef5d7dceb9a8816ac7df032935e70ef2ff0..f43d1f63cdc7ecca90bc20ac2dd1a11bf0c54e2c 100644
--- a/scripts/fetch_server_test_models.py
+++ b/scripts/fetch_server_test_models.py
@@ -95,9 +95,9 @@ if __name__ == '__main__':
             '-p', 'Hey',
             '--no-warmup',
             '--log-disable',
-            '-no-cnv']
+            '-st']
         if m.hf_file != 'tinyllamas/stories260K.gguf' and 'Mistral-Nemo' not in m.hf_repo:
-            cmd.append('-fa')
+            cmd += ('-fa', 'on')
         try:
             subprocess.check_call(cmd)
         except subprocess.CalledProcessError:
diff --git a/scripts/gen-unicode-data.py b/scripts/gen-unicode-data.py
index 2d9bde01c3ca728d49e9c3910975dcc44746eb95..0fa78b22ec90348e503a901563b53213ca6a2381 100644
--- a/scripts/gen-unicode-data.py
+++ b/scripts/gen-unicode-data.py
@@ -147,7 +147,7 @@ ranges_nfd: list[tuple[int, int, int]] = [(0, 0, 0)]  # start, last, nfd
 for codepoint, norm in table_nfd:
     start = ranges_nfd[-1][0]
     if ranges_nfd[-1] != (start, codepoint - 1, norm):
-        ranges_nfd.append(None)  # type: ignore[arg-type]  # dummy, will be replaced below
+        ranges_nfd.append((0, 0, 0))  # dummy, will be replaced below
         start = codepoint
     ranges_nfd[-1] = (start, codepoint, norm)
 
diff --git a/scripts/hip/gcn-cdna-vgpr-check.py b/scripts/hip/gcn-cdna-vgpr-check.py
new file mode 100644
index 0000000000000000000000000000000000000000..bbbce52ef39f9ebf2d8f3111f2c1155bda8e233a
--- /dev/null
+++ b/scripts/hip/gcn-cdna-vgpr-check.py
@@ -0,0 +1,178 @@
+#!/usr/bin/env python3
+
+import sys
+from collections import defaultdict
+import re
+
+
+def parse_log_file(filepath):
+    functions = defaultdict(lambda: {'vgprs': 0, 'spill': 0, 'location': ''})
+    func_stack = []
+
+    try:
+        with open(filepath, 'r') as f:
+            for line in f:
+                # Match function name lines
+                func_match = re.search(r'remark: ([^:]+):(\d+):\d+: Function Name: (\S+)', line)
+                if func_match:
+                    location = func_match.group(1) + ':' + func_match.group(2)
+                    func_name = func_match.group(3)
+                    # Extract just the filename and line number
+                    parts = location.split('/')
+                    short_location = parts[-1] if len(parts) > 0 else location
+                    functions[func_name]['location'] = short_location
+                    # Push function onto stack with its location
+                    func_stack.append({'name': func_name, 'location': location})
+                    continue
+
+                # Match VGPR usage lines (only if we have functions in stack)
+                vgpr_match = re.search(r'remark: ([^:]+):(\d+):\d+:\s+VGPRs: (\d+)', line)
+                if vgpr_match:
+                    location = vgpr_match.group(1) + ':' + vgpr_match.group(2)
+                    # Find the most recent function with matching location
+                    for i in range(len(func_stack) - 1, -1, -1):
+                        if func_stack[i]['location'] == location:
+                            functions[func_stack[i]['name']]['vgprs'] = int(vgpr_match.group(3))
+                            break
+                    continue
+
+                spill_match = re.search(r'remark: ([^:]+):(\d+):\d+:\s+VGPRs Spill: (\d+)', line)
+                if spill_match:
+                    location = spill_match.group(1) + ':' + spill_match.group(2)
+                    # Find the most recent function with matching location
+                    for i in range(len(func_stack) - 1, -1, -1):
+                        if func_stack[i]['location'] == location:
+                            functions[func_stack[i]['name']]['spill'] = int(spill_match.group(3))
+                            break
+                    continue
+    except FileNotFoundError:
+        print(f"Error: File {filepath} not found", file=sys.stderr)  # noqa: NP100
+        sys.exit(1)
+
+    return functions
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: ./vgpr_check.py <log_file>", file=sys.stderr)  # noqa: NP100
+        sys.exit(1)
+
+    log_file = sys.argv[1]
+    ignored = {
+        '_ZL21gated_linear_attn_f32ILi128EEviiiifPKfS1_S1_S1_S1_Pf',
+        '_ZL18flash_attn_ext_f16ILi64ELi64ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi64ELi64ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL13rwkv_wkv7_f32ILi128EEviiiiPKfS1_S1_S1_S1_S1_S1_Pf',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi2ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi1ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi2ELi8ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi16ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi4ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi4ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi64ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi64ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi64ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi64ELi1ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi64ELi64ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi4ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi2ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi8ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi8ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL24mul_mat_q_stream_k_fixupIL9ggml_type22ELi8ELb1EEvPKiS2_PfPKfiiimimimi',
+        '_ZL9mul_mat_qIL9ggml_type3ELi32ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type3ELi48ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type20ELi32ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type17ELi64ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL18flash_attn_ext_f16ILi80ELi80ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL15flash_attn_tileILi256ELi256ELi32ELi1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL9mul_mat_qIL9ggml_type19ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type17ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type22ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type19ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type19ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type7ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type3ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type3ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type7ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type7ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type11ELi112ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type11ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL24mul_mat_q_stream_k_fixupIL9ggml_type11ELi128ELb0EEvPKiS2_PfPKfiiimimimi',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL9mul_mat_qIL9ggml_type2ELi112ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi32ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi112ELi112ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi1ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi2ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi8ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_f16ILi96ELi96ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL18flash_attn_ext_vecILi128ELi2EL9ggml_type2ELS0_2ELb0EEvPKcS2_S2_S2_S2_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS6_IjLj3EEiiiiiiiiiiiliiliiiiil',
+        '_ZL9mul_mat_qIL9ggml_type10ELi16ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type12ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type40ELi112ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type40ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type40ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii',
+        '_ZL9mul_mat_qIL9ggml_type40ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii'
+    }
+
+    functions = parse_log_file(log_file)
+    found_issues = False
+
+    # First print all ignored functions (deduplicated)
+    printed_ignored = set()
+    for func_name, data in sorted(functions.items()):
+        total_vgprs = int(data['vgprs']) + int(data['spill'])
+        if total_vgprs > 256 and func_name in ignored and func_name not in printed_ignored:
+            location = data.get('location', log_file)
+            print(f"{location}: {func_name} - Total VGPRs: {total_vgprs} ({data['vgprs']} + {data['spill']}) [IGNORED]")  # noqa: NP100
+            printed_ignored.add(func_name)
+
+    # Then print new functions with issues in red
+    for func_name, data in sorted(functions.items()):
+        total_vgprs = int(data['vgprs']) + int(data['spill'])
+        if total_vgprs > 256 and func_name not in ignored:
+            status = "[IGNORED]" if func_name in ignored else ""
+            location = data.get('location', log_file)
+            # Print in red if not ignored
+            color_code = "\033[91m" if func_name not in ignored else ""
+            reset_code = "\033[0m" if func_name not in ignored else ""
+            print(f"{color_code}{location}: {func_name} - Total VGPRs: {total_vgprs} ({data['vgprs']} + {data['spill']}) {status}{reset_code}")  # noqa: NP100
+            if func_name not in ignored:
+                found_issues = True
+
+    sys.exit(1 if found_issues else 0)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/jinja/jinja-tester.py b/scripts/jinja/jinja-tester.py
index a489305ee7f88c35c6d916c56d619e6ad0616e88..4f79b8da3db3168abe72127ac5a7572d7baa54b0 100644
--- a/scripts/jinja/jinja-tester.py
+++ b/scripts/jinja/jinja-tester.py
@@ -241,10 +241,10 @@ class CodeEditor(QPlainTextEdit):
         if not self.isReadOnly():
             selection = QTextEdit.ExtraSelection()
             line_color = QColorConstants.Yellow.lighter(160)
-            selection.format.setBackground(line_color)  # pyright: ignore[reportAttributeAccessIssue]
-            selection.format.setProperty(QTextFormat.Property.FullWidthSelection, True)  # pyright: ignore[reportAttributeAccessIssue]
-            selection.cursor = self.textCursor()  # pyright: ignore[reportAttributeAccessIssue]
-            selection.cursor.clearSelection()  # pyright: ignore[reportAttributeAccessIssue]
+            selection.format.setBackground(line_color)  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
+            selection.format.setProperty(QTextFormat.Property.FullWidthSelection, True)  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
+            selection.cursor = self.textCursor()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
+            selection.cursor.clearSelection()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
             extra_selections.append(selection)
         self.setExtraSelections(extra_selections)
 
@@ -262,8 +262,8 @@ class CodeEditor(QPlainTextEdit):
                 )
 
             extra = QTextEdit.ExtraSelection()
-            extra.format.setBackground(color.lighter(160))  # pyright: ignore[reportAttributeAccessIssue]
-            extra.cursor = cursor  # pyright: ignore[reportAttributeAccessIssue]
+            extra.format.setBackground(color.lighter(160))  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
+            extra.cursor = cursor  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
 
             self.setExtraSelections(self.extraSelections() + [extra])
 
@@ -274,8 +274,8 @@ class CodeEditor(QPlainTextEdit):
             cursor.select(QTextCursor.SelectionType.LineUnderCursor)
 
             extra = QTextEdit.ExtraSelection()
-            extra.format.setBackground(color.lighter(160))  # pyright: ignore[reportAttributeAccessIssue]
-            extra.cursor = cursor  # pyright: ignore[reportAttributeAccessIssue]
+            extra.format.setBackground(color.lighter(160))  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
+            extra.cursor = cursor  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
 
             self.setExtraSelections(self.extraSelections() + [extra])
 
@@ -395,8 +395,8 @@ class JinjaTester(QMainWindow):
                 ensure_ascii=ensure_ascii,
             )
         )
-        env.globals["strftime_now"] = lambda format: datetime.now().strftime(format)
-        env.globals["raise_exception"] = raise_exception
+        env.globals["strftime_now"] = lambda format: datetime.now().strftime(format)  # ty: ignore[invalid-assignment]
+        env.globals["raise_exception"] = raise_exception  # ty: ignore[invalid-assignment]
         try:
             template = env.from_string(template_str)
             output = template.render(context)
diff --git a/scripts/server-bench.py b/scripts/server-bench.py
index 202c35a486bbbbdd8def283f3e0d7543180a5430..1b557a495a51df9782a42983538b9913382d4a78 100644
--- a/scripts/server-bench.py
+++ b/scripts/server-bench.py
@@ -189,6 +189,7 @@ def benchmark(
 
         data: list[dict] = []
 
+        assert isinstance(prompts, list)
         for i, p in enumerate(prompts):
             if seed_offset >= 0:
                 random.seed(3 * (seed_offset + 1000 * i) + 1)
diff --git a/scripts/server-test-function-call.py b/scripts/server-test-function-call.py
new file mode 100644
index 0000000000000000000000000000000000000000..b3aae1a961e585d1282b1f929105e77020746f25
--- /dev/null
+++ b/scripts/server-test-function-call.py
@@ -0,0 +1,1135 @@
+#!/usr/bin/env python3
+"""
+Test tool calling capability via chat completions endpoint.
+
+Each test case contains:
+  - tools: list of tool definitions (OpenAI-compatible)
+  - messages: initial conversation messages
+  - mock_tool_responses: dict mapping tool_name -> callable(arguments) -> str (JSON)
+  - validate: callable(tool_calls_history, final_content) -> (passed: bool, reason: str)
+"""
+
+import argparse
+import json
+import requests
+import sys
+
+# ---------------------------------------------------------------------------
+# Color / formatting helpers
+# ---------------------------------------------------------------------------
+
+RESET = "\x1b[0m"
+BOLD = "\x1b[1m"
+DIM = "\x1b[2m"
+# Foreground colors
+CYAN = "\x1b[36m"
+YELLOW = "\x1b[33m"
+GREEN = "\x1b[32m"
+RED = "\x1b[31m"
+BLUE = "\x1b[34m"
+WHITE = "\x1b[97m"
+
+
+def _print(text="", end="\n"):
+    sys.stdout.write(text + end)
+    sys.stdout.flush()
+
+
+def print_header(title):
+    bar = "─" * 60
+    _print(f"\n{BOLD}{CYAN}┌{bar}┐{RESET}")
+    _print(
+        f"{BOLD}{CYAN}│  {WHITE}{title}{CYAN}{' ' * max(0, 58 - len(title))}│{RESET}"
+    )
+    _print(f"{BOLD}{CYAN}└{bar}┘{RESET}")
+
+
+def print_tool_call(name, args):
+    args_str = json.dumps(args)
+    _print(
+        f"\n  {BOLD}{YELLOW}⚙ tool call{RESET}  {CYAN}{name}{RESET}{DIM}({args_str}){RESET}"
+    )
+
+
+def print_tool_result(result):
+    preview = result[:160] + ("…" if len(result) > 160 else "")
+    _print(f"  {DIM}{BLUE}↳ result{RESET}    {DIM}{preview}{RESET}")
+
+
+def print_model_output(text):
+    # printed inline during streaming; prefix with a visual marker on first chunk
+    sys.stdout.write(text)
+    sys.stdout.flush()
+
+
+def print_pass(reason):
+    _print(f"\n{BOLD}{GREEN}✔ PASS{RESET}  {reason}")
+
+
+def print_fail(reason):
+    _print(f"\n{BOLD}{RED}✘ FAIL{RESET}  {reason}")
+
+
+def print_info(msg):
+    _print(f"{DIM}{msg}{RESET}")
+
+
+# ---------------------------------------------------------------------------
+# HTTP helpers
+# ---------------------------------------------------------------------------
+
+
+def chat_completion(url, messages, tools=None, stream=False):
+    payload = {
+        "messages": messages,
+        "stream": stream,
+        "max_tokens": 4096,
+    }
+    if tools:
+        payload["tools"] = tools
+        payload["tool_choice"] = "auto"
+
+    try:
+        response = requests.post(url, json=payload, stream=stream)
+        response.raise_for_status()
+    except requests.exceptions.RequestException as e:
+        body = e.response.content if (e.response is not None) else b""
+        print_fail(f"Request error: {e} | body: {body}")
+        return None
+
+    full_content = ""
+    reasoning_content = ""
+    tool_calls: list[dict] = []
+
+    if stream:
+        for line in response.iter_lines():
+            if not line:
+                continue
+            decoded = line.decode("utf-8")
+            if not decoded.startswith("data: "):
+                continue
+            data_str = decoded[6:]
+            if data_str == "[DONE]":
+                break
+            try:
+                data = json.loads(data_str)
+            except json.JSONDecodeError:
+                continue
+            choices = data.get("choices", [])
+            if not choices:
+                continue
+            delta = choices[0].get("delta", {})
+            if delta.get("reasoning_content"):
+                reasoning_content += delta["reasoning_content"]
+            if delta.get("content"):
+                full_content += delta["content"]
+                print_model_output(delta["content"])
+            for tc in delta.get("tool_calls", []):
+                idx = tc.get("index", 0)
+                while len(tool_calls) <= idx:
+                    tool_calls.append(
+                        {
+                            "id": "",
+                            "type": "function",
+                            "function": {"name": "", "arguments": ""},
+                        }
+                    )
+                if "id" in tc:
+                    tool_calls[idx]["id"] += tc["id"]
+                if "function" in tc:
+                    if "name" in tc["function"]:
+                        tool_calls[idx]["function"]["name"] += tc["function"]["name"]
+                    if "arguments" in tc["function"]:
+                        tool_calls[idx]["function"]["arguments"] += tc["function"][
+                            "arguments"
+                        ]
+    else:
+        data = response.json()
+        choices = data.get("choices", [])
+        if choices:
+            msg = choices[0].get("message", {})
+            full_content = msg.get("content") or ""
+            reasoning_content = msg.get("reasoning_content") or ""
+            tool_calls = msg.get("tool_calls") or []
+            if full_content:
+                print_model_output(full_content)
+
+    result = {"content": full_content, "tool_calls": tool_calls}
+    if reasoning_content:
+        result["reasoning_content"] = reasoning_content
+    return result
+
+
+def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turns=6):
+    """
+    Drive the multi-turn tool-call loop:
+      1. Send messages to model.
+      2. If the model returns tool calls, execute mocks and append results.
+      3. Repeat until no more tool calls or max_turns reached.
+
+    Returns (all_tool_calls, final_content).
+    """
+    msgs = list(messages)
+    all_tool_calls: list[dict] = []
+
+    for _ in range(max_turns):
+        result = chat_completion(url, msgs, tools=tools, stream=stream)
+        if result is None:
+            return all_tool_calls, None
+
+        tcs = result.get("tool_calls") or []
+        content = result.get("content") or ""
+
+        if not tcs:
+            # Print a visual separator before the final model response
+            if content:
+                _print(f"\n{DIM}{'·'*60}{RESET}")
+                _print(f"{DIM}  model response:{RESET}\n")
+            return all_tool_calls, content
+
+        # Record tool calls for validation
+        all_tool_calls.extend(tcs)
+
+        # Append assistant message with tool calls
+        assistant_msg: dict = {
+            "role": "assistant",
+            "content": content,
+            "tool_calls": tcs,
+        }
+        reasoning = result.get("reasoning_content")
+        if reasoning:
+            assistant_msg["reasoning_content"] = reasoning
+        msgs.append(assistant_msg)
+
+        # Execute each tool call via mock and append tool result messages
+        for tc in tcs:
+            tool_name = tc["function"]["name"]
+            try:
+                args = json.loads(tc["function"]["arguments"])
+            except json.JSONDecodeError:
+                args = {}
+
+            print_tool_call(tool_name, args)
+
+            mock_fn = mock_tool_responses.get(tool_name)
+            if mock_fn:
+                tool_result = mock_fn(args)
+            else:
+                tool_result = json.dumps({"error": f"Unknown tool: {tool_name}"})
+
+            print_tool_result(tool_result)
+
+            msgs.append(
+                {
+                    "role": "tool",
+                    "tool_call_id": tc.get("id", ""),
+                    "content": tool_result,
+                }
+            )
+
+    return all_tool_calls, None
+
+
+# ---------------------------------------------------------------------------
+# Test case runner
+# ---------------------------------------------------------------------------
+
+
+def run_test(url, test_case, stream):
+    name = test_case["name"]
+    mode = f"{'stream' if stream else 'non-stream'}"
+    print_header(f"{name}  [{mode}]")
+
+    all_tool_calls, final_content = run_agentic_loop(
+        url,
+        messages=test_case["messages"],
+        tools=test_case["tools"],
+        mock_tool_responses=test_case["mock_tool_responses"],
+        stream=stream,
+    )
+
+    if final_content is None and not all_tool_calls:
+        print_fail("No response from server.")
+        return False
+
+    passed, reason = test_case["validate"](all_tool_calls, final_content)
+    if passed:
+        print_pass(reason)
+    else:
+        print_fail(reason)
+    return passed
+
+
+# ---------------------------------------------------------------------------
+# Test case definitions
+# ---------------------------------------------------------------------------
+
+# ---- Test 1: E-commerce multi-step search (Azzoo = anonymized marketplace) ----
+
+_AZZOO_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "azzoo_search_products",
+            "description": (
+                "Search for products on Azzoo marketplace by keyword. "
+                "Returns a list of matching products with IDs, titles, ratings and prices."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "query": {
+                        "type": "string",
+                        "description": "Search keyword or phrase",
+                    },
+                    "page": {
+                        "type": "string",
+                        "description": "Page number (1-based)",
+                        "default": "1",
+                    },
+                },
+                "required": ["query"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "azzoo_get_product",
+            "description": "Retrieve detailed information about a specific Azzoo product including specs and price.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "product_id": {
+                        "type": "string",
+                        "description": "Azzoo product identifier (e.g. AZB12345)",
+                    },
+                },
+                "required": ["product_id"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "azzoo_get_reviews",
+            "description": "Fetch customer reviews for an Azzoo product.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "product_id": {
+                        "type": "string",
+                        "description": "Azzoo product identifier",
+                    },
+                    "page": {
+                        "type": "string",
+                        "description": "Review page number",
+                        "default": "1",
+                    },
+                },
+                "required": ["product_id"],
+            },
+        },
+    },
+]
+
+_AZZOO_SEARCH_RESULT = {
+    "results": [
+        {
+            "product_id": "AZB00001",
+            "title": "SteelBrew Pro Kettle 1.7L",
+            "rating": 4.6,
+            "price": 34.99,
+        },
+        {
+            "product_id": "AZB00002",
+            "title": "HeatKeep Gooseneck Kettle",
+            "rating": 4.3,
+            "price": 27.50,
+        },
+        {
+            "product_id": "AZB00003",
+            "title": "QuickBoil Stainless Kettle",
+            "rating": 4.1,
+            "price": 21.00,
+        },
+    ]
+}
+_AZZOO_PRODUCT_RESULT = {
+    "product_id": "AZB00001",
+    "title": "SteelBrew Pro Kettle 1.7L",
+    "price": 34.99,
+    "rating": 4.6,
+    "review_count": 2847,
+    "specs": {
+        "material": "18/8 stainless steel",
+        "capacity": "1.7 L",
+        "auto_shutoff": True,
+        "keep_warm": "30 min",
+        "warranty": "2 years",
+    },
+}
+_AZZOO_REVIEWS_RESULT = {
+    "product_id": "AZB00001",
+    "average_rating": 4.6,
+    "reviews": [
+        {
+            "rating": 5,
+            "title": "Excellent build quality",
+            "body": "Very sturdy, boils fast and stays warm longer than expected.",
+        },
+        {
+            "rating": 5,
+            "title": "Great for loose-leaf tea",
+            "body": "The wide spout makes filling a teapot easy. No leaks after months of use.",
+        },
+        {
+            "rating": 3,
+            "title": "Minor lid issue",
+            "body": "The lid doesn't always click shut properly, but overall happy with it.",
+        },
+        {
+            "rating": 4,
+            "title": "Good value",
+            "body": "Heats quickly and the auto shutoff works reliably.",
+        },
+    ],
+}
+
+AZZOO_TEST_CASE = {
+    "name": "Azzoo E-commerce: search -> product detail -> reviews",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I need a durable stainless steel tea kettle for my weekly tea gatherings. "
+                "Please search Azzoo for 'stainless steel tea kettle', then get full details "
+                "on the top-rated result, and finally fetch its customer reviews so I can "
+                "check for recurring complaints. Give me a summary with pros and cons."
+            ),
+        }
+    ],
+    "tools": _AZZOO_TOOLS,
+    "mock_tool_responses": {
+        "azzoo_search_products": lambda _: json.dumps(_AZZOO_SEARCH_RESULT),
+        "azzoo_get_product": lambda _: json.dumps(_AZZOO_PRODUCT_RESULT),
+        "azzoo_get_reviews": lambda _: json.dumps(_AZZOO_REVIEWS_RESULT),
+    },
+    "validate": lambda tcs, content: _validate_azzoo(tcs, content),
+}
+
+
+def _validate_azzoo(tcs, content):
+    names = [tc["function"]["name"] for tc in tcs]
+    if not names:
+        return False, "No tool calls made"
+    if "azzoo_search_products" not in names:
+        return False, f"Expected azzoo_search_products to be called, got: {names}"
+    # After search the model should look up product details
+    if "azzoo_get_product" not in names and "azzoo_get_reviews" not in names:
+        return False, f"Expected follow-up product/review lookup, got: {names}"
+    # Verify product lookup used an ID from search results
+    for tc in tcs:
+        if tc["function"]["name"] == "azzoo_get_product":
+            try:
+                args = json.loads(tc["function"]["arguments"])
+                pid = args.get("product_id", "")
+                if not pid:
+                    return False, "azzoo_get_product called with empty product_id"
+            except json.JSONDecodeError:
+                return False, "azzoo_get_product arguments are not valid JSON"
+    if not content:
+        return False, "No final summary produced"
+    return True, f"All expected tools called in order: {names}"
+
+
+# ---- Test 2: Fitness BMI + exercise recommendations ----
+
+_FITNESS_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "calculate_bmi",
+            "description": "Calculate Body Mass Index (BMI) from weight and height.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "weight_kg": {
+                        "type": "number",
+                        "description": "Body weight in kilograms",
+                    },
+                    "height_m": {"type": "number", "description": "Height in meters"},
+                },
+                "required": ["weight_kg", "height_m"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_exercises",
+            "description": (
+                "Fetch a list of exercises filtered by muscle group, difficulty, category, "
+                "and/or force type."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "muscle": {
+                        "type": "string",
+                        "description": "Target muscle group (e.g. chest, back, legs)",
+                    },
+                    "difficulty": {
+                        "type": "string",
+                        "description": "Difficulty level: beginner, intermediate, expert",
+                    },
+                    "category": {
+                        "type": "string",
+                        "description": "Exercise category (e.g. strength, cardio, stretching)",
+                    },
+                    "force": {
+                        "type": "string",
+                        "description": "Force type: push, pull, static",
+                    },
+                },
+                "required": [],
+            },
+        },
+    },
+]
+
+_BMI_RESULT = {"bmi": 24.5, "category": "Normal weight", "healthy_range": "18.5 – 24.9"}
+_EXERCISES_RESULT = {
+    "exercises": [
+        {
+            "name": "Push-Up",
+            "muscle": "chest",
+            "difficulty": "beginner",
+            "equipment": "none",
+            "instructions": "Keep body straight, lower chest to floor.",
+        },
+        {
+            "name": "Incline Dumbbell Press",
+            "muscle": "chest",
+            "difficulty": "beginner",
+            "equipment": "dumbbells, bench",
+            "instructions": "Press dumbbells up from chest on incline bench.",
+        },
+        {
+            "name": "Chest Fly (cables)",
+            "muscle": "chest",
+            "difficulty": "beginner",
+            "equipment": "cable machine",
+            "instructions": "Bring cables together in an arc motion.",
+        },
+    ]
+}
+
+FITNESS_TEST_CASE = {
+    "name": "Fitness: BMI calculation + exercise suggestions",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I'm a 32-year-old male, 78 kg and 1.80 m tall. "
+                "Please calculate my BMI and then suggest some beginner chest exercises I can do "
+                "to build strength. Give me a short personalised plan."
+            ),
+        }
+    ],
+    "tools": _FITNESS_TOOLS,
+    "mock_tool_responses": {
+        "calculate_bmi": lambda _: json.dumps(_BMI_RESULT),
+        "get_exercises": lambda _: json.dumps(_EXERCISES_RESULT),
+    },
+    "validate": lambda tcs, content: _validate_fitness(tcs, content),
+}
+
+
+def _validate_fitness(tcs, content):
+    names = [tc["function"]["name"] for tc in tcs]
+    if not names:
+        return False, "No tool calls made"
+    if "calculate_bmi" not in names:
+        return False, f"Expected calculate_bmi to be called, got: {names}"
+    # Validate BMI args contain plausible values
+    for tc in tcs:
+        if tc["function"]["name"] == "calculate_bmi":
+            try:
+                args = json.loads(tc["function"]["arguments"])
+                w = args.get("weight_kg")
+                h = args.get("height_m")
+                if w is None or h is None:
+                    return False, f"calculate_bmi missing weight_kg or height_m: {args}"
+                if not (50 <= float(w) <= 200):
+                    return False, f"calculate_bmi weight out of plausible range: {w}"
+                if not (1.0 <= float(h) <= 2.5):
+                    return False, f"calculate_bmi height out of plausible range: {h}"
+            except (json.JSONDecodeError, ValueError) as e:
+                return False, f"calculate_bmi argument error: {e}"
+    if not content:
+        return False, "No final plan produced"
+    return True, f"Tools called: {names}"
+
+
+# ---- Test 3: Community class planning (anonymised cooking/topic discovery) ----
+
+_COMMUNITY_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_trending_questions",
+            "description": (
+                "Fetch commonly asked questions on a topic from search engine 'People Also Ask' boxes."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "query": {"type": "string", "description": "Topic to search for"},
+                    "max_results": {
+                        "type": "integer",
+                        "description": "Maximum questions to return",
+                        "default": 10,
+                    },
+                },
+                "required": ["query"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "search_mobile_apps",
+            "description": "Search the mobile app store for apps matching a category or keyword.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "keyword": {
+                        "type": "string",
+                        "description": "Search keyword (e.g. 'Italian cooking')",
+                    },
+                    "platform": {
+                        "type": "string",
+                        "enum": ["ios", "android", "both"],
+                        "default": "both",
+                    },
+                    "max_results": {
+                        "type": "integer",
+                        "description": "Number of results",
+                        "default": 10,
+                    },
+                },
+                "required": ["keyword"],
+            },
+        },
+    },
+]
+
+_TRENDING_QUESTIONS_RESULT = {
+    "query": "Italian cuisine",
+    "questions": [
+        "What are the most popular Italian dishes?",
+        "What makes Italian food different from other cuisines?",
+        "How do you make authentic Italian pasta from scratch?",
+        "What are traditional Italian desserts?",
+        "What herbs are commonly used in Italian cooking?",
+        "Is Italian food healthy?",
+        "What wine pairs best with Italian pasta?",
+    ],
+}
+_APPS_RESULT = {
+    "keyword": "Italian cooking",
+    "results": [
+        {
+            "name": "PastaPro",
+            "rating": 4.5,
+            "installs": "500K+",
+            "focus": "pasta recipes only",
+        },
+        {
+            "name": "CookEasy",
+            "rating": 4.2,
+            "installs": "1M+",
+            "focus": "general cooking, limited Italian content",
+        },
+        {
+            "name": "ItalianKitchen",
+            "rating": 3.8,
+            "installs": "100K+",
+            "focus": "regional Italian recipes, no video",
+        },
+    ],
+}
+
+COMMUNITY_CLASS_TEST_CASE = {
+    "name": "Community class planning: trending topics + app gap analysis",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I want to start teaching Italian cooking classes at my community centre. "
+                "First, find out what people commonly ask about Italian cuisine online. "
+                "Then search for existing Italian cooking apps to see what they cover. "
+                "Use both results to suggest three unique angles for my classes that fill gaps "
+                "in what apps already offer."
+            ),
+        }
+    ],
+    "tools": _COMMUNITY_TOOLS,
+    "mock_tool_responses": {
+        "get_trending_questions": lambda _: json.dumps(_TRENDING_QUESTIONS_RESULT),
+        "search_mobile_apps": lambda _: json.dumps(_APPS_RESULT),
+    },
+    "validate": lambda tcs, content: _validate_community(tcs, content),
+}
+
+
+def _validate_community(tcs, content):
+    names = [tc["function"]["name"] for tc in tcs]
+    if not names:
+        return False, "No tool calls made"
+    missing = [
+        t for t in ("get_trending_questions", "search_mobile_apps") if t not in names
+    ]
+    if missing:
+        return False, f"Missing expected tool calls: {missing}; got: {names}"
+    if not content:
+        return False, "No class suggestion produced"
+    return True, f"Both discovery tools called: {names}"
+
+
+# ---- Test 4: Multi-hostname geolocation filter (anonymized gallery discovery) ----
+# Inspired by: checking gallery website server locations to find truly remote venues.
+# Anonymized: galleryone.de → halle-eins.de, gallerytwo.fr → galerie-deux.fr,
+#             gallerythree.it → galleria-tre.it
+
+_GEO_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "lookup_ip_geolocation",
+            "description": (
+                "Retrieve geolocation data for an IP address or hostname, including country, "
+                "city, coordinates, and network info. Useful for verifying physical server "
+                "locations or personalising regional content."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "host": {
+                        "type": "string",
+                        "description": "IP address or hostname to look up (e.g. '8.8.8.8' or 'example.com').",
+                    },
+                },
+                "required": ["host"],
+            },
+        },
+    },
+]
+
+# Mock: one urban (Berlin → discard), two rural (keep)
+_GEO_RESPONSES = {
+    "halle-eins.de": {
+        "host": "halle-eins.de",
+        "city": "Berlin",
+        "country": "DE",
+        "lat": 52.5200,
+        "lon": 13.4050,
+        "is_major_city": True,
+    },
+    "galerie-deux.fr": {
+        "host": "galerie-deux.fr",
+        "city": "Rocamadour",
+        "country": "FR",
+        "lat": 44.7994,
+        "lon": 1.6178,
+        "is_major_city": False,
+    },
+    "galleria-tre.it": {
+        "host": "galleria-tre.it",
+        "city": "Matera",
+        "country": "IT",
+        "lat": 40.6664,
+        "lon": 16.6044,
+        "is_major_city": False,
+    },
+}
+
+
+def _geo_mock(args):
+    host = args.get("host", "")
+    return json.dumps(_GEO_RESPONSES.get(host, {"error": f"unknown host: {host}"}))
+
+
+GEO_TEST_CASE = {
+    "name": "Gallery geolocation: filter urban venues, keep remote ones",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I have abstract paintings to exhibit in remote European galleries. "
+                "I received enquiries from three venues: halle-eins.de, galerie-deux.fr, "
+                "and galleria-tre.it. Please look up the geolocation of each website's server. "
+                "Discard any venue whose server is in a major city (e.g. Berlin, Paris, Rome). "
+                "For the remaining venues, report their exact coordinates so I can check "
+                "whether hiking trails are nearby — my work thrives where nature and art meet."
+            ),
+        }
+    ],
+    "tools": _GEO_TOOLS,
+    "mock_tool_responses": {
+        "lookup_ip_geolocation": _geo_mock,
+    },
+    "validate": lambda tcs, content: _validate_geo(tcs, content),
+}
+
+
+def _validate_geo(tcs, content):
+    names = [tc["function"]["name"] for tc in tcs]
+    if not names:
+        return False, "No tool calls made"
+    # Expect exactly one geolocation call per domain (3 total)
+    geo_calls = [tc for tc in tcs if tc["function"]["name"] == "lookup_ip_geolocation"]
+    if len(geo_calls) < 3:
+        return (
+            False,
+            f"Expected geolocation called 3 times (once per domain), got {len(geo_calls)}",
+        )
+    queried_hosts = set()
+    for tc in geo_calls:
+        try:
+            args = json.loads(tc["function"]["arguments"])
+            host = args.get("host", "")
+            if not host:
+                return False, f"lookup_ip_geolocation called with empty host: {args}"
+            queried_hosts.add(host)
+        except json.JSONDecodeError:
+            return False, "lookup_ip_geolocation arguments are not valid JSON"
+    expected = {"halle-eins.de", "galerie-deux.fr", "galleria-tre.it"}
+    if not expected.issubset(queried_hosts):
+        return (
+            False,
+            f"Not all domains queried. Expected {expected}, got {queried_hosts}",
+        )
+    if not content:
+        return False, "No final summary produced"
+    return True, f"All 3 domains geolocated: {sorted(queried_hosts)}"
+
+
+# ---- Test 5: EV fleet expansion — stock → security → property → video ----
+# Inspired by: multi-step business analysis combining finance, cybersecurity,
+#              real estate and educational content.
+# Anonymized: Tesla → Voltara (VLTR), Rivian → Rivex (RVXN),
+#             Trenton → Halverton
+
+_EV_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_stock_quote",
+            "description": "Retrieve the latest market quote for a financial instrument by ticker symbol.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "symbol": {
+                        "type": "string",
+                        "description": "Ticker symbol (e.g. 'VLTR', 'RVXN')",
+                    },
+                    "interval": {
+                        "type": "string",
+                        "description": "Time interval: 1min, 5min, 1h, 1day, 1week",
+                        "default": "1day",
+                    },
+                },
+                "required": ["symbol"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_security_advisories",
+            "description": (
+                "Fetch current cybersecurity advisories from the national security agency, "
+                "covering known vulnerabilities and exploits for industrial and consumer systems."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "keyword": {
+                        "type": "string",
+                        "description": "Filter advisories by keyword or product name",
+                    },
+                    "limit": {
+                        "type": "integer",
+                        "description": "Maximum number of advisories to return",
+                        "default": 5,
+                    },
+                },
+                "required": [],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "search_commercial_properties",
+            "description": "Search for commercial properties (offices, garages, warehouses) available for rent or sale in a given city.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "city": {"type": "string", "description": "City name to search in"},
+                    "property_type": {
+                        "type": "string",
+                        "description": "Type of property: office, garage, warehouse, premises",
+                    },
+                    "operation": {
+                        "type": "string",
+                        "enum": ["rent", "sale"],
+                        "default": "rent",
+                    },
+                    "max_price": {
+                        "type": "integer",
+                        "description": "Maximum monthly rent or sale price",
+                    },
+                },
+                "required": ["city", "property_type"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_video_recommendations",
+            "description": "Fetch a list of recommended videos related to a given topic or reference video.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "topic": {
+                        "type": "string",
+                        "description": "Topic or keyword to search for related videos",
+                    },
+                },
+                "required": ["topic"],
+            },
+        },
+    },
+]
+
+_STOCK_RESULT_VLTR = {
+    "symbol": "VLTR",
+    "company": "Voltara Inc.",
+    "price": 218.45,
+    "change_pct": "+2.3%",
+    "market_cap": "694B",
+    "currency": "USD",
+}
+_STOCK_RESULT_RVXN = {
+    "symbol": "RVXN",
+    "company": "Rivex Motors",
+    "price": 12.80,
+    "change_pct": "-1.1%",
+    "market_cap": "11B",
+    "currency": "USD",
+}
+_ADVISORIES_RESULT = {
+    "count": 2,
+    "advisories": [
+        {
+            "id": "ICSA-24-102-01",
+            "title": "Voltara In-Vehicle Infotainment System Authentication Bypass",
+            "severity": "Medium",
+            "summary": "Improper authentication in the OTA update module may allow an adjacent attacker to install unsigned firmware.",
+            "published": "2024-04-11",
+        },
+        {
+            "id": "ICSA-24-085-03",
+            "title": "Voltara Charging Management API Input Validation Flaw",
+            "severity": "Low",
+            "summary": "Insufficient input validation in the charging session API could expose internal error messages.",
+            "published": "2024-03-26",
+        },
+    ],
+}
+_PROPERTIES_RESULT = {
+    "city": "Halverton",
+    "listings": [
+        {
+            "id": "HV-0041",
+            "type": "garage",
+            "area_sqm": 420,
+            "monthly_rent": 2800,
+            "ev_power_outlets": 12,
+            "address": "14 Ironworks Lane, Halverton",
+        },
+        {
+            "id": "HV-0089",
+            "type": "warehouse",
+            "area_sqm": 900,
+            "monthly_rent": 4200,
+            "ev_power_outlets": 30,
+            "address": "7 Depot Road, Halverton",
+        },
+    ],
+}
+_VIDEOS_RESULT = {
+    "topic": "fleet electrification",
+    "recommendations": [
+        {
+            "title": "How to Build an EV Fleet from Scratch",
+            "channel": "Fleet Future",
+            "views": "182K",
+        },
+        {
+            "title": "EV Charging Infrastructure for Commercial Fleets",
+            "channel": "GreenDrive Pro",
+            "views": "94K",
+        },
+        {
+            "title": "Total Cost of Ownership: Electric vs Diesel Vans",
+            "channel": "LogisticsTech",
+            "views": "61K",
+        },
+    ],
+}
+
+
+def _ev_stock_mock(args):
+    symbol = args.get("symbol", "").upper()
+    if symbol == "VLTR":
+        return json.dumps(_STOCK_RESULT_VLTR)
+    if symbol == "RVXN":
+        return json.dumps(_STOCK_RESULT_RVXN)
+    return json.dumps({"error": f"Unknown symbol: {symbol}"})
+
+
+EV_FLEET_TEST_CASE = {
+    "name": "EV fleet expansion: stock → cybersecurity → property → videos",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I'm expanding my courier business into electric vehicles and need a multi-step analysis:\n"
+                "1. Get the latest stock quote for Voltara (VLTR) and Rivex (RVXN). "
+                "If either is above $50, continue with that company.\n"
+                "2. Search for cybersecurity advisories related to that company's vehicle models "
+                "to understand any tech risks.\n"
+                "3. Find commercial garage or warehouse properties in Halverton suitable for "
+                "EV charging infrastructure.\n"
+                "4. Recommend videos on fleet electrification strategies.\n"
+                "Please work through all four steps and give me a concise summary."
+            ),
+        }
+    ],
+    "tools": _EV_TOOLS,
+    "mock_tool_responses": {
+        "get_stock_quote": _ev_stock_mock,
+        "get_security_advisories": lambda _: json.dumps(_ADVISORIES_RESULT),
+        "search_commercial_properties": lambda _: json.dumps(_PROPERTIES_RESULT),
+        "get_video_recommendations": lambda _: json.dumps(_VIDEOS_RESULT),
+    },
+    "validate": lambda tcs, content: _validate_ev(tcs, content),
+}
+
+
+def _validate_ev(tcs, content):
+    names = [tc["function"]["name"] for tc in tcs]
+    if not names:
+        return False, "No tool calls made"
+    # Stock quote must come first
+    if names[0] != "get_stock_quote":
+        return False, f"Expected get_stock_quote to be called first, got: {names[0]}"
+    stock_calls = [tc for tc in tcs if tc["function"]["name"] == "get_stock_quote"]
+    for tc in stock_calls:
+        try:
+            args = json.loads(tc["function"]["arguments"])
+            sym = args.get("symbol", "")
+            if not sym:
+                return False, f"get_stock_quote called with empty symbol: {args}"
+        except json.JSONDecodeError:
+            return False, "get_stock_quote arguments are not valid JSON"
+    # All four pipeline tools expected
+    required = [
+        "get_stock_quote",
+        "get_security_advisories",
+        "search_commercial_properties",
+        "get_video_recommendations",
+    ]
+    missing = [t for t in required if t not in names]
+    if missing:
+        return False, f"Missing pipeline steps: {missing}"
+    if not content:
+        return False, "No final summary produced"
+    return True, f"Full 4-step pipeline executed: {names}"
+
+
+# ---------------------------------------------------------------------------
+# All test cases
+# ---------------------------------------------------------------------------
+
+ALL_TEST_CASES = [
+    AZZOO_TEST_CASE,
+    FITNESS_TEST_CASE,
+    COMMUNITY_CLASS_TEST_CASE,
+    GEO_TEST_CASE,
+    EV_FLEET_TEST_CASE,
+]
+
+
+# ---------------------------------------------------------------------------
+# Entry point
+# ---------------------------------------------------------------------------
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Test llama-server tool-calling capability."
+    )
+    parser.add_argument("--host", default="localhost")
+    parser.add_argument("--port", default=8080, type=int)
+    parser.add_argument(
+        "--no-stream", action="store_true", help="Disable streaming mode tests"
+    )
+    parser.add_argument(
+        "--stream-only", action="store_true", help="Only run streaming mode tests"
+    )
+    parser.add_argument(
+        "--test",
+        help="Run only the test whose name contains this substring (case-insensitive)",
+    )
+    args = parser.parse_args()
+
+    url = f"http://{args.host}:{args.port}/v1/chat/completions"
+    print_info(f"Testing server at {url}")
+
+    modes = []
+    if not args.stream_only:
+        modes.append(False)
+    if not args.no_stream:
+        modes.append(True)
+
+    cases: list[dict] = ALL_TEST_CASES
+    if args.test:
+        name_filter = args.test.lower()
+        cases = [c for c in cases if name_filter in str(c["name"]).lower()]
+        if not cases:
+            print_fail(f"No test cases matched '{args.test}'")
+            sys.exit(1)
+
+    total = 0
+    passed = 0
+    for stream in modes:
+        for case in cases:
+            total += 1
+            if run_test(url, case, stream=stream):
+                passed += 1
+
+    color = GREEN if passed == total else RED
+    _print(f"\n{BOLD}{color}{'─'*60}{RESET}")
+    _print(f"{BOLD}{color}  Results: {passed}/{total} passed{RESET}")
+    _print(f"{BOLD}{color}{'─'*60}{RESET}\n")
+    sys.exit(0 if passed == total else 1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/snapdragon/adb/run-bench.sh b/scripts/snapdragon/adb/run-bench.sh
index 2750860c6e0ab73b6dae27ec94943c92dc9983aa..36c908da74e5ce47461b38d14d09f70ff4181c48 100644
--- a/scripts/snapdragon/adb/run-bench.sh
+++ b/scripts/snapdragon/adb/run-bench.sh
@@ -22,9 +22,6 @@ device="HTP0"
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 profile=
 [ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF GGML_HEXAGON_OPSYNC=1" cli_opts="$cli_opts -v"
 
@@ -46,7 +43,7 @@ adb $adbserial $adbhost shell " \
   cd $basedir;         \
   LD_LIBRARY_PATH=$basedir/$branch/lib   \
   ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $ndev $nhvx $opmask $verbose $experimental $profile $hb ./$branch/bin/llama-bench --device $device --mmap 0 -m $basedir/../gguf/$model \
+    $ndev $nhvx $opmask $verbose $profile $hb ./$branch/bin/llama-bench --device $device --mmap 0 -m $basedir/../gguf/$model \
         --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \
-        --batch-size 128 -ngl 99 $cli_opts $@ \
+        --ubatch-size 256 -fa 1 -ngl 99 $cli_opts $@    \
 "
diff --git a/scripts/snapdragon/adb/run-cli.sh b/scripts/snapdragon/adb/run-cli.sh
index dfc051b28b5631975e5db33b69ba96c333ef5a1d..901d7eff13f07ba066a1bc594422505ea516220b 100644
--- a/scripts/snapdragon/adb/run-cli.sh
+++ b/scripts/snapdragon/adb/run-cli.sh
@@ -21,9 +21,6 @@ model="Llama-3.2-3B-Instruct-Q4_0.gguf"
 device="HTP0"
 [ "$D" != "" ] && device="$D"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v"
 
@@ -39,19 +36,31 @@ opmask=
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
 
+hmx=
+[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX"
+
 ndev=
 [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV"
 
 hb=
 [ "$HB" != "" ] && hb="GGML_HEXAGON_HOSTBUF=$HB"
 
+opbatch=
+[ "$OB" != "" ] && opbatch="GGML_HEXAGON_OPBATCH=$OB"
+
+opqueue=
+[ "$OQ" != "" ] && opqueue="GGML_HEXAGON_OPQUEUE=$OQ"
+
+opflt=
+[ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF"
+
 set -x
 
 adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb \
+    $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt \
       ./$branch/bin/llama-cli --no-mmap -m $basedir/../gguf/$model \
          --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1           \
          --ctx-size 8192 --ubatch-size 256 -fa on                  \
diff --git a/scripts/snapdragon/adb/run-completion.sh b/scripts/snapdragon/adb/run-completion.sh
index d53b5887399d5e88b4f0b6b99b36a3b014a9fd69..f7290825ad51f75b81037e156fe71353c0821397 100644
--- a/scripts/snapdragon/adb/run-completion.sh
+++ b/scripts/snapdragon/adb/run-completion.sh
@@ -21,9 +21,6 @@ model="Llama-3.2-3B-Instruct-Q4_0.gguf"
 device="HTP0"
 [ "$D" != "" ] && device="$D"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v"
 
@@ -39,19 +36,31 @@ opmask=
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
 
+hmx=
+[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX"
+
 ndev=
 [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV"
 
 hb=
 [ "$HB" != "" ] && hb="GGML_HEXAGON_HOSTBUF=$HB"
 
+opbatch=
+[ "$OB" != "" ] && opbatch="GGML_HEXAGON_OPBATCH=$OB"
+
+opqueue=
+[ "$OQ" != "" ] && opqueue="GGML_HEXAGON_OPQUEUE=$OQ"
+
+opflt=
+[ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF"
+
 set -x
 
 adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb        \
+    $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt \
       ./$branch/bin/llama-completion --no-mmap -m $basedir/../gguf/$model \
          --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1                  \
          --ctx-size 8192 --ubatch-size 256 -fa on                         \
diff --git a/scripts/snapdragon/adb/run-mtmd.sh b/scripts/snapdragon/adb/run-mtmd.sh
index 41d7cd44f8d2359997bf03f85f0b271f55102657..0c1cf8928008ad86b1812b7cb12c0a25f17cc081 100644
--- a/scripts/snapdragon/adb/run-mtmd.sh
+++ b/scripts/snapdragon/adb/run-mtmd.sh
@@ -45,6 +45,9 @@ opmask=
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
 
+hmx=
+[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX"
+
 ndev=
 [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV"
 
@@ -58,7 +61,7 @@ adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $ndev $mtmd_backend \
+    $verbose $experimental $sched $opmask $profile $hmx $nhvx $ndev $mtmd_backend \
       ./$branch/bin/llama-mtmd-cli --no-mmap -m $basedir/../gguf/$model      \
          --mmproj $basedir/../gguf/$mmproj                                   \
          --image $basedir/../gguf/$image                                     \
diff --git a/scripts/snapdragon/adb/run-tool.sh b/scripts/snapdragon/adb/run-tool.sh
index 4647ede1f874f973297100e679fd127732515680..70ed407e87ba4ba123925b3ccb9694128e399ad5 100644
--- a/scripts/snapdragon/adb/run-tool.sh
+++ b/scripts/snapdragon/adb/run-tool.sh
@@ -21,9 +21,6 @@ device="HTP0"
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 sched=
 [ "$SCHED" != "" ] && sched="GGML_SCHED_DEBUG=2" cli_opts="$cli_opts -v"
 
@@ -36,6 +33,9 @@ opmask=
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
 
+hmx=
+[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX"
+
 ndev=
 [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV"
 
@@ -50,5 +50,5 @@ adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb ./$branch/bin/$tool $@ \
+    $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb ./$branch/bin/$tool $@ \
 "
diff --git a/scripts/snapdragon/windows/run-bench.ps1 b/scripts/snapdragon/windows/run-bench.ps1
index 21fd063ebe3711d290b3b894da117e69cef69cf3..5a3a9074dfdae2e531822fefdfce7e80e52725da 100644
--- a/scripts/snapdragon/windows/run-bench.ps1
+++ b/scripts/snapdragon/windows/run-bench.ps1
@@ -20,6 +20,10 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
+if ($null -ne $env:PROF) {
+    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+}
+
 if ($null -ne $env:OPMASK) {
     $env:GGML_HEXAGON_OPMASK=$env:OPMASK
 }
@@ -32,6 +36,10 @@ if ($null -ne $env:NDEV) {
     $env:GGML_HEXAGON_NDEV=$env:NDEV
 }
 
+if ($null -ne $env:HB) {
+    $env:GGML_HEXAGON_HOSTBUF=$env:HB
+}
+
 $env:ADSP_LIBRARY_PATH="$basedir\lib"
 
 & "$basedir\bin\llama-bench.exe" `
diff --git a/scripts/snapdragon/windows/run-cli.ps1 b/scripts/snapdragon/windows/run-cli.ps1
index 5891c894a9f61b77dca0b88edfce62e61c38a0e4..c64aaf725cf27abb262204089bfe8415bd4f7acb 100644
--- a/scripts/snapdragon/windows/run-cli.ps1
+++ b/scripts/snapdragon/windows/run-cli.ps1
@@ -20,10 +20,6 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
@@ -44,10 +40,14 @@ if ($null -ne $env:NDEV) {
     $env:GGML_HEXAGON_NDEV=$env:NDEV
 }
 
+if ($null -ne $env:HB) {
+    $env:GGML_HEXAGON_HOSTBUF=$env:HB
+}
+
 $env:ADSP_LIBRARY_PATH="$basedir\lib"
 
 & "$basedir\bin\llama-cli.exe" `
     --no-mmap -m $basedir\..\..\gguf\$model `
     --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 `
-    --ctx-size 8192 --ubatch-size 128 -fa on `
+    --ctx-size 8192 --ubatch-size 256 -fa on `
     -ngl 99 --device $device $cli_opts
diff --git a/scripts/snapdragon/windows/run-completion.ps1 b/scripts/snapdragon/windows/run-completion.ps1
index 8a48d2d748660b2a884f8ddde1a5a5f2e1d916c4..a896cd3524d601afbd5babbcd05857c842be9d63 100644
--- a/scripts/snapdragon/windows/run-completion.ps1
+++ b/scripts/snapdragon/windows/run-completion.ps1
@@ -20,10 +20,6 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
@@ -44,10 +40,14 @@ if ($null -ne $env:NDEV) {
     $env:GGML_HEXAGON_NDEV=$env:NDEV
 }
 
+if ($null -ne $env:HB) {
+    $env:GGML_HEXAGON_HOSTBUF=$env:HB
+}
+
 $env:ADSP_LIBRARY_PATH="$basedir\lib"
 
 & "$basedir\bin\llama-completion.exe" `
     --no-mmap -m $basedir\..\..\gguf\$model `
     --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 `
-    --ctx-size 8192 --batch-size 128 -fa on `
+    --ctx-size 8192 --batch-size 256 -fa on `
     -ngl 99 -no-cnv --device $device $cli_opts
diff --git a/scripts/snapdragon/windows/run-mtmd.ps1 b/scripts/snapdragon/windows/run-mtmd.ps1
new file mode 100644
index 0000000000000000000000000000000000000000..f230ac5a6b7c473587a3c761b39099d5b379310b
--- /dev/null
+++ b/scripts/snapdragon/windows/run-mtmd.ps1
@@ -0,0 +1,68 @@
+#!/usr/bin/env pwsh
+
+# Basedir on device
+$basedir=".\pkg-snapdragon"
+
+$cli_opts=$args
+
+$model="gemma-3-4b-it-Q4_0.gguf"
+if ($null -ne $env:M) {
+    $model=$env:M
+}
+
+$mmproj="mmproj-F16.gguf"
+if ($null -ne $env:MMPROJ) {
+    $mmproj=$env:MMPROJ
+}
+
+$image=""
+if ($null -ne $env:IMG) {
+    $image=$env:IMG
+}
+
+$device="HTP0"
+if ($null -ne $env:D) {
+    $device=$env:D
+}
+
+if ($null -ne $env:V) {
+    $env:GGML_HEXAGON_VERBOSE=$env:V
+}
+
+if ($null -ne $env:SCHED) {
+    $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
+}
+
+if ($null -ne $env:PROF) {
+    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+}
+
+if ($null -ne $env:OPMASK) {
+    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+}
+
+if ($null -ne $env:NHVX) {
+    $env:GGML_HEXAGON_NHVX=$env:NHVX
+}
+
+if ($null -ne $env:NDEV) {
+    $env:GGML_HEXAGON_NDEV=$env:NDEV
+}
+
+if ($null -ne $env:HB) {
+    $env:GGML_HEXAGON_HOSTBUF=$env:HB
+}
+
+if ($null -ne $env:MTMD_DEVICE) {
+    $env:MTMD_BACKEND_DEVICE=$env:MTMD_DEVICE
+}
+
+$env:ADSP_LIBRARY_PATH="$basedir\lib"
+
+& "$basedir\bin\llama-mtmd-cli.exe" `
+    --no-mmap -m $basedir\..\..\gguf\$model `
+    --mmproj $basedir\..\..\gguf\$mmproj `
+    --image $basedir\..\..\gguf\$image `
+    --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 `
+    --ctx-size 8192 --ubatch-size 256 -fa on `
+    -ngl 99 --device $device -v $cli_opts
diff --git a/scripts/snapdragon/windows/run-tool.ps1 b/scripts/snapdragon/windows/run-tool.ps1
index 70094af9bc949ffeeac8a0a468ee2a744c95169d..39edbfcf76cf306781ad1e0cb17f7b3aebfad21f 100644
--- a/scripts/snapdragon/windows/run-tool.ps1
+++ b/scripts/snapdragon/windows/run-tool.ps1
@@ -26,10 +26,6 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
@@ -50,6 +46,10 @@ if ($null -ne $env:NDEV) {
     $env:GGML_HEXAGON_NDEV=$env:NDEV
 }
 
+if ($null -ne $env:HB) {
+    $env:GGML_HEXAGON_HOSTBUF=$env:HB
+}
+
 $env:ADSP_LIBRARY_PATH="$basedir\lib"
 
 & "$basedir\bin\$tool" `
diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last
index 6557fb46cbe5e4256eec1377b282a79af3654581..de0140cfe24fc1249b727e59e5624447162f195b 100644
--- a/scripts/sync-ggml.last
+++ b/scripts/sync-ggml.last
@@ -1 +1 @@
-c044a8eeae2591faa0950c8b5e514cbc4bbfc4ca
+1c40d85a4dcfcd62176f649b8682433bb1a6caef
diff --git a/scripts/sync_vendor.py b/scripts/sync_vendor.py
index 4d254afcd6d138dde4c3128a264420635c645671..7ce0933236010743eaf7345f3a7a616bec4ae289 100644
--- a/scripts/sync_vendor.py
+++ b/scripts/sync_vendor.py
@@ -5,7 +5,7 @@ import os
 import sys
 import subprocess
 
-HTTPLIB_VERSION = "refs/tags/v0.38.0"
+HTTPLIB_VERSION = "refs/tags/v0.42.0"
 
 vendor = {
     "https://github.com/nlohmann/json/releases/latest/download/json.hpp":     "vendor/nlohmann/json.hpp",
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index 283823fa9c835e28950fce207885c029891620a8..aa752881600428688aafcf823343aba6ba288074 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -1,169 +1,3 @@
-llama_add_compile_flags()
-
-#
-# libraries
-#
-
-# llama
-
-add_library(llama
-            ../include/llama.h
-            llama.cpp
-            llama-adapter.cpp
-            llama-arch.cpp
-            llama-batch.cpp
-            llama-chat.cpp
-            llama-context.cpp
-            llama-cparams.cpp
-            llama-grammar.cpp
-            llama-graph.cpp
-            llama-hparams.cpp
-            llama-impl.cpp
-            llama-io.cpp
-            llama-kv-cache.cpp
-            llama-kv-cache-iswa.cpp
-            llama-memory.cpp
-            llama-memory-hybrid.cpp
-            llama-memory-hybrid-iswa.cpp
-            llama-memory-recurrent.cpp
-            llama-mmap.cpp
-            llama-model-loader.cpp
-            llama-model-saver.cpp
-            llama-model.cpp
-            llama-quant.cpp
-            llama-sampler.cpp
-            llama-vocab.cpp
-            unicode-data.cpp
-            unicode.cpp
-            unicode.h
-            models/afmoe.cpp
-            models/apertus.cpp
-            models/arcee.cpp
-            models/arctic.cpp
-            models/arwkv7.cpp
-            models/baichuan.cpp
-            models/bailingmoe.cpp
-            models/bailingmoe2.cpp
-            models/bert.cpp
-            models/bitnet.cpp
-            models/bloom.cpp
-            models/chameleon.cpp
-            models/chatglm.cpp
-            models/codeshell.cpp
-            models/cogvlm.cpp
-            models/cohere2-iswa.cpp
-            models/command-r.cpp
-            models/dbrx.cpp
-            models/deci.cpp
-            models/deepseek.cpp
-            models/deepseek2.cpp
-            models/delta-net-base.cpp
-            models/dots1.cpp
-            models/dream.cpp
-            models/ernie4-5-moe.cpp
-            models/ernie4-5.cpp
-            models/eurobert.cpp
-            models/exaone-moe.cpp
-            models/exaone.cpp
-            models/exaone4.cpp
-            models/falcon-h1.cpp
-            models/falcon.cpp
-            models/gemma-embedding.cpp
-            models/gemma.cpp
-            models/gemma2-iswa.cpp
-            models/gemma3.cpp
-            models/gemma3n-iswa.cpp
-            models/glm4-moe.cpp
-            models/glm4.cpp
-            models/gpt2.cpp
-            models/gptneox.cpp
-            models/granite-hybrid.cpp
-            models/granite.cpp
-            models/grok.cpp
-            models/grovemoe.cpp
-            models/hunyuan-dense.cpp
-            models/hunyuan-moe.cpp
-            models/internlm2.cpp
-            models/jais.cpp
-            models/jais2.cpp
-            models/jamba.cpp
-            models/kimi-linear.cpp
-            models/lfm2.cpp
-            models/llada-moe.cpp
-            models/llada.cpp
-            models/llama-iswa.cpp
-            models/llama.cpp
-            models/maincoder.cpp
-            models/mamba-base.cpp
-            models/mamba.cpp
-            models/mimo2-iswa.cpp
-            models/minicpm3.cpp
-            models/minimax-m2.cpp
-            models/mistral3.cpp
-            models/modern-bert.cpp
-            models/mpt.cpp
-            models/nemotron-h.cpp
-            models/nemotron.cpp
-            models/neo-bert.cpp
-            models/olmo.cpp
-            models/olmo2.cpp
-            models/olmoe.cpp
-            models/openai-moe-iswa.cpp
-            models/openelm.cpp
-            models/orion.cpp
-            models/paddleocr.cpp
-            models/pangu-embedded.cpp
-            models/phi2.cpp
-            models/phi3.cpp
-            models/plamo.cpp
-            models/plamo2.cpp
-            models/plamo3.cpp
-            models/plm.cpp
-            models/qwen.cpp
-            models/qwen2.cpp
-            models/qwen2moe.cpp
-            models/qwen2vl.cpp
-            models/qwen3.cpp
-            models/qwen35.cpp
-            models/qwen35moe.cpp
-            models/qwen3moe.cpp
-            models/qwen3next.cpp
-            models/qwen3vl-moe.cpp
-            models/qwen3vl.cpp
-            models/refact.cpp
-            models/rnd1.cpp
-            models/rwkv6-base.cpp
-            models/rwkv6.cpp
-            models/rwkv6qwen2.cpp
-            models/rwkv7-base.cpp
-            models/rwkv7.cpp
-            models/seed-oss.cpp
-            models/smallthinker.cpp
-            models/smollm3.cpp
-            models/stablelm.cpp
-            models/starcoder.cpp
-            models/starcoder2.cpp
-            models/step35-iswa.cpp
-            models/t5-dec.cpp
-            models/t5-enc.cpp
-            models/wavtokenizer-dec.cpp
-            models/xverse.cpp
-            )
-
-set_target_properties(llama PROPERTIES
-    VERSION ${LLAMA_INSTALL_VERSION}
-    SOVERSION 0
-    MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number
-)
-
-target_include_directories(llama PRIVATE .)
-target_include_directories(llama PUBLIC ../include)
-target_compile_features   (llama PRIVATE cxx_std_17) # don't bump
-
-target_link_libraries(llama PUBLIC ggml)
-
-if (BUILD_SHARED_LIBS)
-    set_target_properties(llama PROPERTIES POSITION_INDEPENDENT_CODE ON)
-    target_compile_definitions(llama PRIVATE LLAMA_BUILD)
-    target_compile_definitions(llama PUBLIC  LLAMA_SHARED)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c624583a60279de8da024c21b5b4aeb25c0e87c38b3ed8b6b2b1307bdfc0157
+size 1698
diff --git a/src/llama-adapter.cpp b/src/llama-adapter.cpp
index 2f2cc12af04ea7eca827bf9dd1a6c5f007354755..4a1aaa955a87d6d8e9c6a1c49abf6879784668b6 100644
--- a/src/llama-adapter.cpp
+++ b/src/llama-adapter.cpp
@@ -294,7 +294,7 @@ static void llama_adapter_lora_init_impl(llama_model & model, const char * path_
     }
 
     // get extra buffer types of the CPU
-    // TODO: a more general solution for non-CPU extra buft should be imlpemented in the future
+    // TODO: a more general solution for non-CPU extra buft should be implemented in the future
     //       ref: https://github.com/ggml-org/llama.cpp/pull/12593#pullrequestreview-2718659948
     std::vector<ggml_backend_buffer_type_t> buft_extra;
     {
diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp
index 84dc6d8f1b6543088ec096fa82084bd5a9c84846..6904b9c1a645c7c3726a8b66aecfc18b2cc4fe46 100644
--- a/src/llama-arch.cpp
+++ b/src/llama-arch.cpp
@@ -56,6 +56,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_GEMMA2,           "gemma2"           },
     { LLM_ARCH_GEMMA3,           "gemma3"           },
     { LLM_ARCH_GEMMA3N,          "gemma3n"          },
+    { LLM_ARCH_GEMMA4,           "gemma4"           },
     { LLM_ARCH_GEMMA_EMBEDDING,  "gemma-embedding"  },
     { LLM_ARCH_STARCODER2,       "starcoder2"       },
     { LLM_ARCH_MAMBA,            "mamba"            },
@@ -73,6 +74,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_ARCTIC,           "arctic"           },
     { LLM_ARCH_DEEPSEEK,         "deepseek"         },
     { LLM_ARCH_DEEPSEEK2,        "deepseek2"        },
+    { LLM_ARCH_DEEPSEEK2OCR,     "deepseek2-ocr"    },
     { LLM_ARCH_CHATGLM,          "chatglm"          },
     { LLM_ARCH_GLM4,             "glm4"             },
     { LLM_ARCH_GLM4_MOE,         "glm4moe"          },
@@ -164,6 +166,7 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_CONTEXT_LENGTH,                    "%s.context_length"                    },
     { LLM_KV_EMBEDDING_LENGTH,                  "%s.embedding_length"                  },
     { LLM_KV_EMBEDDING_LENGTH_OUT,              "%s.embedding_length_out"              },
+    { LLM_KV_EMBEDDING_LENGTH_PER_LAYER,        "%s.embedding_length_per_layer_input"  },
     { LLM_KV_FEATURES_LENGTH,                   "%s.features_length"                   },
     { LLM_KV_BLOCK_COUNT,                       "%s.block_count"                       },
     { LLM_KV_LEADING_DENSE_BLOCK_COUNT,         "%s.leading_dense_block_count"         },
@@ -237,6 +240,7 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_ATTENTION_INDEXER_HEAD_COUNT,           "%s.attention.indexer.head_count"           },
     { LLM_KV_ATTENTION_INDEXER_KEY_LENGTH,           "%s.attention.indexer.key_length"           },
     { LLM_KV_ATTENTION_INDEXER_TOP_K,                "%s.attention.indexer.top_k"                },
+    { LLM_KV_ATTENTION_SHARED_KV_LAYERS,             "%s.attention.shared_kv_layers"             },
 
     { LLM_KV_ROPE_DIMENSION_COUNT,           "%s.rope.dimension_count"                 },
     { LLM_KV_ROPE_DIMENSION_COUNT_SWA,       "%s.rope.dimension_count_swa"             },
@@ -363,6 +367,9 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_ATTN_K_NORM,                            "blk.%d.attn_k_norm" },
     { LLM_TENSOR_ATTN_GATE,                              "blk.%d.attn_gate" },
     { LLM_TENSOR_FFN_POST_NORM,                          "blk.%d.post_ffw_norm" },
+    { LLM_TENSOR_FFN_POST_NORM_1,                        "blk.%d.post_ffw_norm_1" },
+    { LLM_TENSOR_FFN_POST_NORM_2,                        "blk.%d.post_ffw_norm_2" },
+    { LLM_TENSOR_FFN_PRE_NORM_2,                         "blk.%d.pre_ffw_norm_2" },
     { LLM_TENSOR_FFN_GATE_SHEXP,                         "blk.%d.ffn_gate_shexp" },
     { LLM_TENSOR_FFN_UP_SHEXP,                           "blk.%d.ffn_up_shexp" },
     { LLM_TENSOR_FFN_DOWN_SHEXP,                         "blk.%d.ffn_down_shexp" },
@@ -372,6 +379,7 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_ATTN_NORM_2,                            "blk.%d.attn_norm_2" },
     { LLM_TENSOR_ATTN_QKV,                               "blk.%d.attn_qkv" },
     { LLM_TENSOR_LAYER_OUT_NORM,                         "blk.%d.layer_output_norm" },
+    { LLM_TENSOR_LAYER_OUT_SCALE,                        "blk.%d.layer_output_scale" },
     { LLM_TENSOR_ATTN_OUT_NORM,                          "blk.%d.attn_output_norm" },
     { LLM_TENSOR_POS_EMBD,                               "position_embd" },
     { LLM_TENSOR_FFN_ACT,                                "blk.%d.ffn.act" },
@@ -539,2017 +547,6 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_INDEXER_ATTN_Q_B,                       "blk.%d.indexer.attn_q_b" },
 };
 
-static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
-    switch (arch) {
-        case LLM_ARCH_CLIP:
-            return {};
-        case LLM_ARCH_LLAMA:
-        case LLM_ARCH_DECI:
-        case LLM_ARCH_MISTRAL3:
-        case LLM_ARCH_LLAMA_EMBED:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_ARCEE:
-        case LLM_ARCH_STARCODER2:
-        case LLM_ARCH_NEMOTRON:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_AFMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_LLAMA4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_BAICHUAN:
-        case LLM_ARCH_ORION:
-        case LLM_ARCH_XVERSE:
-        case LLM_ARCH_EXAONE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_FALCON:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GROK:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_ATTN_OUT_NORM,
-            };
-        case LLM_ARCH_GPT2:
-        case LLM_ARCH_STARCODER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_POS_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_GPTNEOX:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_MPT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_ACT,
-                LLM_TENSOR_POS_EMBD,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-            };
-        case LLM_ARCH_REFACT:
-        case LLM_ARCH_QWEN2:
-        case LLM_ARCH_QWEN2VL:
-        case LLM_ARCH_INTERNLM2:
-        case LLM_ARCH_GRANITE:
-        case LLM_ARCH_ERNIE4_5:
-        case LLM_ARCH_PADDLEOCR:
-        case LLM_ARCH_SMOLLM3:
-        case LLM_ARCH_DREAM:
-        case LLM_ARCH_LLADA:
-        case LLM_ARCH_PANGU_EMBED:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_POS_EMBD,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_CLS,
-                LLM_TENSOR_CLS_OUT,
-            };
-        case LLM_ARCH_NOMIC_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_NOMIC_BERT_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_NEO_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_ENC_OUTPUT_NORM,
-                LLM_TENSOR_CLS,
-                LLM_TENSOR_CLS_OUT,
-            };
-        case LLM_ARCH_EUROBERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_MODERN_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_CLS,
-                LLM_TENSOR_CLS_OUT,
-                LLM_TENSOR_CLS_NORM,
-            };
-        case LLM_ARCH_JINA_BERT_V2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_CLS,
-            };
-        case LLM_ARCH_JINA_BERT_V3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_LAYER_OUT_NORM,
-            };
-        case LLM_ARCH_BLOOM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_STABLELM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-            };
-        case LLM_ARCH_QWEN:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_QWEN2MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_QWEN3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_CLS_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_QWEN3MOE:
-        case LLM_ARCH_QWEN3VLMOE:
-        case LLM_ARCH_OLMOE:
-        case LLM_ARCH_LLADA_MOE:
-        case LLM_ARCH_RND1:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_QWEN3NEXT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_SSM_A_NOSCAN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_BETA_ALPHA,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_QWEN35:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SSM_A_NOSCAN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_BETA,
-                LLM_TENSOR_SSM_ALPHA,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_QWEN35MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_SSM_A_NOSCAN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_BETA,
-                LLM_TENSOR_SSM_ALPHA,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_QWEN3VL:
-        case LLM_ARCH_CHAMELEON:
-        case LLM_ARCH_HUNYUAN_DENSE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_CLS_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PHI2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PHI3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PHIMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_PLAMO:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PLAMO2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_X,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_SSM_DT_NORM,
-                LLM_TENSOR_SSM_B_NORM,
-                LLM_TENSOR_SSM_C_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_PLAMO3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_CODESHELL:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_MINICPM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-            };
-        case LLM_ARCH_MINICPM3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_GEMMA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GEMMA2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA3N:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_PER_LAYER_TOKEN_EMBD,
-                LLM_TENSOR_PER_LAYER_MODEL_PROJ,
-                LLM_TENSOR_PER_LAYER_PROJ_NORM,
-                LLM_TENSOR_ALTUP_UNEMBD_PROJ,
-                LLM_TENSOR_ALTUP_PROJ,
-                LLM_TENSOR_PER_LAYER_INP_GATE,
-                LLM_TENSOR_PER_LAYER_PROJ,
-                LLM_TENSOR_PER_LAYER_POST_NORM,
-                LLM_TENSOR_ALTUP_CORRECT_COEF,
-                LLM_TENSOR_ALTUP_CORRECT_SCALE,
-                LLM_TENSOR_ALTUP_PREDICT_COEF,
-                LLM_TENSOR_ALTUP_ROUTER,
-                LLM_TENSOR_ALTUP_ROUTER_NORM,
-                LLM_TENSOR_LAUREL_L,
-                LLM_TENSOR_LAUREL_R,
-                LLM_TENSOR_LAUREL_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA_EMBEDDING:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_DENSE_2_OUT,
-                LLM_TENSOR_DENSE_3_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_MAMBA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_X,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_MAMBA2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_JAMBA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_X,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_DT_NORM,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_B_NORM,
-                LLM_TENSOR_SSM_C_NORM,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_FALCON_H1:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_COMMAND_R:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-            };
-        case LLM_ARCH_COHERE2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_DBRX:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_OLMO:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_OLMO2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_OPENELM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_ARCTIC:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM_EXPS,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_DEEPSEEK:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_DEEPSEEK2:
-        case LLM_ARCH_MISTRAL4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_K_B,
-                LLM_TENSOR_ATTN_V_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_PLM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_CHATGLM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_GLM4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_GLM4_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_GLM_DSA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_K_B,
-                LLM_TENSOR_ATTN_V_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_INDEXER_K_NORM,
-                LLM_TENSOR_INDEXER_PROJ,
-                LLM_TENSOR_INDEXER_ATTN_K,
-                LLM_TENSOR_INDEXER_ATTN_Q_B,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_BITNET:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_SUB_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_SUB_NORM,
-            };
-        case LLM_ARCH_T5:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_DEC_OUTPUT_NORM,
-                LLM_TENSOR_DEC_ATTN_NORM,
-                LLM_TENSOR_DEC_ATTN_Q,
-                LLM_TENSOR_DEC_ATTN_K,
-                LLM_TENSOR_DEC_ATTN_V,
-                LLM_TENSOR_DEC_ATTN_OUT,
-                LLM_TENSOR_DEC_ATTN_REL_B,
-                LLM_TENSOR_DEC_CROSS_ATTN_NORM,
-                LLM_TENSOR_DEC_CROSS_ATTN_Q,
-                LLM_TENSOR_DEC_CROSS_ATTN_K,
-                LLM_TENSOR_DEC_CROSS_ATTN_V,
-                LLM_TENSOR_DEC_CROSS_ATTN_OUT,
-                LLM_TENSOR_DEC_CROSS_ATTN_REL_B,
-                LLM_TENSOR_DEC_FFN_NORM,
-                LLM_TENSOR_DEC_FFN_GATE,
-                LLM_TENSOR_DEC_FFN_DOWN,
-                LLM_TENSOR_DEC_FFN_UP,
-                LLM_TENSOR_ENC_OUTPUT_NORM,
-                LLM_TENSOR_ENC_ATTN_NORM,
-                LLM_TENSOR_ENC_ATTN_Q,
-                LLM_TENSOR_ENC_ATTN_K,
-                LLM_TENSOR_ENC_ATTN_V,
-                LLM_TENSOR_ENC_ATTN_OUT,
-                LLM_TENSOR_ENC_ATTN_REL_B,
-                LLM_TENSOR_ENC_FFN_NORM,
-                LLM_TENSOR_ENC_FFN_GATE,
-                LLM_TENSOR_ENC_FFN_DOWN,
-                LLM_TENSOR_ENC_FFN_UP,
-            };
-        case LLM_ARCH_T5ENCODER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ENC_OUTPUT_NORM,
-                LLM_TENSOR_ENC_ATTN_NORM,
-                LLM_TENSOR_ENC_ATTN_Q,
-                LLM_TENSOR_ENC_ATTN_K,
-                LLM_TENSOR_ENC_ATTN_V,
-                LLM_TENSOR_ENC_ATTN_OUT,
-                LLM_TENSOR_ENC_ATTN_REL_B,
-                LLM_TENSOR_ENC_FFN_NORM,
-                LLM_TENSOR_ENC_FFN_GATE,
-                LLM_TENSOR_ENC_FFN_DOWN,
-                LLM_TENSOR_ENC_FFN_UP,
-            };
-        case LLM_ARCH_JAIS:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_JAIS2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_NEMOTRON_H:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_NEMOTRON_H_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                // mamba(2) ssm layers
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                // attention layers
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                // dense FFN
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                // MoE FFN (for MoE layers)
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_FFN_LATENT_DOWN,
-                LLM_TENSOR_FFN_LATENT_UP,
-                // MoE shared expert layer
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_EXAONE4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_EXAONE_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_RWKV6:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_LERP_X,
-                LLM_TENSOR_TIME_MIX_LERP_W,
-                LLM_TENSOR_TIME_MIX_LERP_K,
-                LLM_TENSOR_TIME_MIX_LERP_V,
-                LLM_TENSOR_TIME_MIX_LERP_R,
-                LLM_TENSOR_TIME_MIX_LERP_G,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_FIRST,
-                LLM_TENSOR_TIME_MIX_DECAY,
-                LLM_TENSOR_TIME_MIX_DECAY_W1,
-                LLM_TENSOR_TIME_MIX_DECAY_W2,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_GATE,
-                LLM_TENSOR_TIME_MIX_LN,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_CHANNEL_MIX_LERP_K,
-                LLM_TENSOR_CHANNEL_MIX_LERP_R,
-                LLM_TENSOR_CHANNEL_MIX_KEY,
-                LLM_TENSOR_CHANNEL_MIX_VALUE,
-                LLM_TENSOR_CHANNEL_MIX_RECEPTANCE,
-            };
-        case LLM_ARCH_RWKV6QWEN2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_LERP_X,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_FIRST,
-                LLM_TENSOR_TIME_MIX_DECAY,
-                LLM_TENSOR_TIME_MIX_DECAY_W1,
-                LLM_TENSOR_TIME_MIX_DECAY_W2,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_GATE,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_RWKV7:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_TIME_MIX_W0,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_A0,
-                LLM_TENSOR_TIME_MIX_A1,
-                LLM_TENSOR_TIME_MIX_A2,
-                LLM_TENSOR_TIME_MIX_V0,
-                LLM_TENSOR_TIME_MIX_V1,
-                LLM_TENSOR_TIME_MIX_V2,
-                LLM_TENSOR_TIME_MIX_G1,
-                LLM_TENSOR_TIME_MIX_G2,
-                LLM_TENSOR_TIME_MIX_K_K,
-                LLM_TENSOR_TIME_MIX_K_A,
-                LLM_TENSOR_TIME_MIX_R_K,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_LN,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_CHANNEL_MIX_LERP_K,
-                LLM_TENSOR_CHANNEL_MIX_KEY,
-                LLM_TENSOR_CHANNEL_MIX_VALUE,
-            };
-        case LLM_ARCH_ARWKV7:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_TIME_MIX_W0,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_A0,
-                LLM_TENSOR_TIME_MIX_A1,
-                LLM_TENSOR_TIME_MIX_A2,
-                LLM_TENSOR_TIME_MIX_V0,
-                LLM_TENSOR_TIME_MIX_V1,
-                LLM_TENSOR_TIME_MIX_V2,
-                LLM_TENSOR_TIME_MIX_G1,
-                LLM_TENSOR_TIME_MIX_G2,
-                LLM_TENSOR_TIME_MIX_K_K,
-                LLM_TENSOR_TIME_MIX_K_A,
-                LLM_TENSOR_TIME_MIX_R_K,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_LN,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GRANITE_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_GRANITE_HYBRID:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_WAVTOKENIZER_DEC:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_CONV1D,
-                LLM_TENSOR_CONVNEXT_DW,
-                LLM_TENSOR_CONVNEXT_NORM,
-                LLM_TENSOR_CONVNEXT_PW1,
-                LLM_TENSOR_CONVNEXT_PW2,
-                LLM_TENSOR_CONVNEXT_GAMMA,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_POS_NET_CONV1,
-                LLM_TENSOR_POS_NET_CONV2,
-                LLM_TENSOR_POS_NET_NORM,
-                LLM_TENSOR_POS_NET_NORM1,
-                LLM_TENSOR_POS_NET_NORM2,
-                LLM_TENSOR_POS_NET_ATTN_NORM,
-                LLM_TENSOR_POS_NET_ATTN_Q,
-                LLM_TENSOR_POS_NET_ATTN_K,
-                LLM_TENSOR_POS_NET_ATTN_V,
-                LLM_TENSOR_POS_NET_ATTN_OUT,
-            };
-        case LLM_ARCH_BAILINGMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_BAILINGMOE2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-                LLM_TENSOR_LAYER_OUT_NORM,
-            };
-        case LLM_ARCH_DOTS1:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_ERNIE4_5_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_HUNYUAN_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_OPENAI_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_SINKS,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_LFM2:
-            return {
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SHORTCONV_CONV,
-                LLM_TENSOR_SHORTCONV_INPROJ,
-                LLM_TENSOR_SHORTCONV_OUTPROJ,
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM_LFM2,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_DENSE_2_OUT,
-            };
-        case LLM_ARCH_LFM2MOE:
-            return {
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SHORTCONV_CONV,
-                LLM_TENSOR_SHORTCONV_INPROJ,
-                LLM_TENSOR_SHORTCONV_OUTPROJ,
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM_LFM2,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_SMALLTHINKER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_APERTUS:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_SEED_OSS:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GROVEMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_CHEXPS,
-                LLM_TENSOR_FFN_DOWN_CHEXPS,
-                LLM_TENSOR_FFN_UP_CHEXPS,
-            };
-        case LLM_ARCH_MINIMAX_M2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_COGVLM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_VISEXP_ATTN_QKV,
-                LLM_TENSOR_VISEXP_ATTN_OUT,
-                LLM_TENSOR_VISEXP_FFN_GATE,
-                LLM_TENSOR_VISEXP_FFN_DOWN,
-                LLM_TENSOR_VISEXP_FFN_UP,
-            };
-        case LLM_ARCH_MIMO2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_SINKS,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_STEP35:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_GPTJ:
-        case LLM_ARCH_UNKNOWN:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-            };
-        case LLM_ARCH_MAINCODER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_KIMI_LINEAR:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                // Dense FFN (layer 0 only)
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                // MoE FFN (layers 1+)
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                // Shared experts
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                // KDA (using SSM_ enum prefix, keeping GGUF names for backward compat)
-                LLM_TENSOR_SSM_CONV1D_Q,
-                LLM_TENSOR_SSM_CONV1D_K,
-                LLM_TENSOR_SSM_CONV1D_V,
-                LLM_TENSOR_SSM_F_A,
-                LLM_TENSOR_SSM_F_B,
-                LLM_TENSOR_SSM_BETA,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_G_A,
-                LLM_TENSOR_SSM_G_B,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_NORM,
-                // MLA
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_K_B,
-                LLM_TENSOR_ATTN_V_B,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-            };
-        default:
-            GGML_ABORT("unknown architecture for tensor mapping");
-    }
-}
-
 // declare information about the model weight tensors:
 // - the layer in which the tensor is going to be used. this is needed in order to assign the correct buffer type for the weight
 // - the operator which is going to use the weight. this is needed to determine if the respective backend supports the operator
@@ -2561,20 +558,20 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
 // example: https://github.com/ggml-org/llama.cpp/pull/17548
 //
 static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
-    {LLM_TENSOR_TOKEN_EMBD,                 {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_POS_EMBD,                   {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_TOKEN_TYPES,                {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_TOKEN_EMBD_NORM,            {LLM_TENSOR_LAYER_INPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_OUTPUT,                     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_CLS,                        {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_CLS_OUT,                    {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_CLS_NORM,                   {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_DENSE_2_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
-    {LLM_TENSOR_DENSE_3_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
-    {LLM_TENSOR_OUTPUT_NORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_OUTPUT_NORM_LFM2,           {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_DEC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_ENC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
+    {LLM_TENSOR_TOKEN_EMBD,                 {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_POS_EMBD,                   {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_TOKEN_TYPES,                {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_TOKEN_EMBD_NORM,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},  // do the norms on the first layer (not the input layer)
+    {LLM_TENSOR_OUTPUT,                     {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS,                        {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS_OUT,                    {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS_NORM,                   {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_DENSE_2_OUT,                {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}}, // Dense layer output
+    {LLM_TENSOR_DENSE_3_OUT,                {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}}, // Dense layer output
+    {LLM_TENSOR_OUTPUT_NORM,                {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_OUTPUT_NORM_LFM2,           {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_DEC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_ENC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
     {LLM_TENSOR_ROPE_FREQS,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
     {LLM_TENSOR_ROPE_FACTORS_LONG,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
     {LLM_TENSOR_ROPE_FACTORS_SHORT,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
@@ -2682,11 +679,15 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_ATTN_OUT_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ATTN_POST_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_FFN_NORM,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
+    {LLM_TENSOR_FFN_PRE_NORM_2,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
+    {LLM_TENSOR_FFN_POST_NORM_1,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
+    {LLM_TENSOR_FFN_POST_NORM_2,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_FFN_POST_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_FFN_NORM_EXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ATTN_Q_NORM,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ATTN_K_NORM,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_LAYER_OUT_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
+    {LLM_TENSOR_LAYER_OUT_SCALE,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ATTN_Q_A_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ATTN_KV_A_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ATTN_SUB_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
@@ -2707,9 +708,9 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_FFN_UP_CHEXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_EXP_PROBS_B,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
     // altup / laurel (gemma 3n)
-    {LLM_TENSOR_PER_LAYER_TOKEN_EMBD,       {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_PER_LAYER_MODEL_PROJ,       {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_PER_LAYER_PROJ_NORM,        {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_PER_LAYER_TOKEN_EMBD,       {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_PER_LAYER_MODEL_PROJ,       {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_PER_LAYER_PROJ_NORM,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ALTUP_PROJ,                 {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
     {LLM_TENSOR_ALTUP_UNEMBD_PROJ,          {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
     {LLM_TENSOR_PER_LAYER_INP_GATE,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
@@ -2725,7 +726,7 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_LAUREL_POST_NORM,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     // this tensor is loaded for T5, but never used
     {LLM_TENSOR_DEC_CROSS_ATTN_REL_B,       {LLM_TENSOR_LAYER_REPEATING, GGML_OP_NONE}},
-    {LLM_TENSOR_CONV1D,                     {LLM_TENSOR_LAYER_INPUT,     GGML_OP_IM2COL}},
+    {LLM_TENSOR_CONV1D,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},
     {LLM_TENSOR_POS_NET_NORM,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_POS_NET_NORM1,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_POS_NET_NORM2,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
@@ -2780,18 +781,13 @@ std::string LLM_KV::operator()(llm_kv kv) const {
 }
 
 LLM_TN_IMPL::LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid)
-    : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid),
-      model_tensors(llm_get_tensor_names(arch)) {}
+    : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid) {}
 
 std::string LLM_TN_IMPL::str() const {
     if (LLM_TENSOR_NAMES.find(tensor) == LLM_TENSOR_NAMES.end()) {
         GGML_ABORT("unknown tensor name for tensor id %d", static_cast<int>(tensor));
     }
 
-    if (model_tensors.find(tensor) == model_tensors.end()) {
-        return LLM_TENSOR_NAMES.at(tensor);
-    }
-
     std::string name = ::format(LLM_TENSOR_NAMES.at(tensor), bid, xid);
     if (suffix != nullptr) {
         name += ".";
@@ -2877,3 +873,34 @@ bool llm_arch_is_diffusion(const llm_arch & arch) {
             return false;
     }
 }
+
+bool llm_arch_supports_sm_tensor(const llm_arch & arch) {
+    switch (arch) {
+        case LLM_ARCH_GROK:
+        case LLM_ARCH_MPT:
+        case LLM_ARCH_PLAMO2:
+        case LLM_ARCH_MINICPM3:
+        case LLM_ARCH_GEMMA3N:
+        case LLM_ARCH_MAMBA:
+        case LLM_ARCH_MAMBA2:
+        case LLM_ARCH_JAMBA:
+        case LLM_ARCH_FALCON_H1:
+        case LLM_ARCH_OLMO2:
+        case LLM_ARCH_OLMOE:
+        case LLM_ARCH_DEEPSEEK2:
+        case LLM_ARCH_GLM_DSA:
+        case LLM_ARCH_BITNET:
+        case LLM_ARCH_T5:
+        case LLM_ARCH_NEMOTRON_H:
+        case LLM_ARCH_NEMOTRON_H_MOE:
+        case LLM_ARCH_GRANITE_HYBRID:
+        case LLM_ARCH_LFM2:
+        case LLM_ARCH_LFM2MOE:
+        case LLM_ARCH_MINIMAX_M2:
+        case LLM_ARCH_MISTRAL4:
+        case LLM_ARCH_KIMI_LINEAR:
+            return false;
+        default:
+            return true;
+    }
+}
diff --git a/src/llama-arch.h b/src/llama-arch.h
index 9b9eec2f5c8e3151be6e0ad143718106070f89a7..c4aabab7e0cf37e129c01c47ed5dfecb4fe41914 100644
--- a/src/llama-arch.h
+++ b/src/llama-arch.h
@@ -60,6 +60,7 @@ enum llm_arch {
     LLM_ARCH_GEMMA2,
     LLM_ARCH_GEMMA3,
     LLM_ARCH_GEMMA3N,
+    LLM_ARCH_GEMMA4,
     LLM_ARCH_GEMMA_EMBEDDING,
     LLM_ARCH_STARCODER2,
     LLM_ARCH_MAMBA,
@@ -77,6 +78,7 @@ enum llm_arch {
     LLM_ARCH_ARCTIC,
     LLM_ARCH_DEEPSEEK,
     LLM_ARCH_DEEPSEEK2,
+    LLM_ARCH_DEEPSEEK2OCR,
     LLM_ARCH_CHATGLM,
     LLM_ARCH_GLM4,
     LLM_ARCH_GLM4_MOE,
@@ -168,6 +170,7 @@ enum llm_kv {
     LLM_KV_CONTEXT_LENGTH,
     LLM_KV_EMBEDDING_LENGTH,
     LLM_KV_EMBEDDING_LENGTH_OUT,
+    LLM_KV_EMBEDDING_LENGTH_PER_LAYER,
     LLM_KV_FEATURES_LENGTH,
     LLM_KV_BLOCK_COUNT,
     LLM_KV_LEADING_DENSE_BLOCK_COUNT,
@@ -241,6 +244,7 @@ enum llm_kv {
     LLM_KV_ATTENTION_INDEXER_HEAD_COUNT,
     LLM_KV_ATTENTION_INDEXER_KEY_LENGTH,
     LLM_KV_ATTENTION_INDEXER_TOP_K,
+    LLM_KV_ATTENTION_SHARED_KV_LAYERS,
 
     LLM_KV_ROPE_DIMENSION_COUNT,
     LLM_KV_ROPE_DIMENSION_COUNT_SWA,
@@ -368,6 +372,9 @@ enum llm_tensor {
     LLM_TENSOR_FFN_GATE_INP_SHEXP,
     LLM_TENSOR_FFN_NORM,
     LLM_TENSOR_FFN_POST_NORM,
+    LLM_TENSOR_FFN_POST_NORM_1,
+    LLM_TENSOR_FFN_POST_NORM_2,
+    LLM_TENSOR_FFN_PRE_NORM_2,
     LLM_TENSOR_FFN_GATE,
     LLM_TENSOR_FFN_DOWN,
     LLM_TENSOR_FFN_UP,
@@ -392,6 +399,7 @@ enum llm_tensor {
     LLM_TENSOR_ATTN_Q_NORM,
     LLM_TENSOR_ATTN_K_NORM,
     LLM_TENSOR_LAYER_OUT_NORM,
+    LLM_TENSOR_LAYER_OUT_SCALE,
     LLM_TENSOR_POST_ATTN_NORM,
     LLM_TENSOR_POST_MLP_NORM,
     LLM_TENSOR_PER_LAYER_TOKEN_EMBD, // gemma3n
@@ -577,8 +585,6 @@ struct LLM_TN_IMPL {
     const int bid;
     const int xid;
 
-    const std::set<llm_tensor> model_tensors;
-
     LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid);
 
     std::string str() const;
@@ -624,6 +630,7 @@ llm_arch llm_arch_from_string(const std::string & name);
 
 const llm_tensor_info & llm_tensor_info_for(llm_tensor tensor);
 
-bool llm_arch_is_recurrent(const llm_arch & arch);
-bool llm_arch_is_hybrid   (const llm_arch & arch);
-bool llm_arch_is_diffusion(const llm_arch & arch);
+bool llm_arch_is_recurrent      (const llm_arch & arch);
+bool llm_arch_is_hybrid         (const llm_arch & arch);
+bool llm_arch_is_diffusion      (const llm_arch & arch);
+bool llm_arch_supports_sm_tensor(const llm_arch & arch);
diff --git a/src/llama-batch.h b/src/llama-batch.h
index 8e6fac0efabba3d5f1b3dd528ebb9e3d2c9ec99a..f77520e86c3ca45ffb5541597790005b76d5d4cd 100644
--- a/src/llama-batch.h
+++ b/src/llama-batch.h
@@ -18,7 +18,7 @@ struct llama_ubatch {
     }
 
     // typical for M-RoPE cases:
-    //   0 - sequantial position of the tokens/embeddings in the sequence
+    //   0 - sequential position of the tokens/embeddings in the sequence
     //   1 - y position in the image
     //   2 - x position in the image
     //   3 - other
diff --git a/src/llama-chat.cpp b/src/llama-chat.cpp
index c415a998f336667794f7ac6518703e88aecf01c3..6554a89b28a6cb3b06d58865e7c112d2c51b50b3 100644
--- a/src/llama-chat.cpp
+++ b/src/llama-chat.cpp
@@ -49,6 +49,7 @@ static const std::map<std::string, llm_chat_template> LLM_CHAT_TEMPLATES = {
     { "deepseek",          LLM_CHAT_TEMPLATE_DEEPSEEK          },
     { "deepseek2",         LLM_CHAT_TEMPLATE_DEEPSEEK_2        },
     { "deepseek3",         LLM_CHAT_TEMPLATE_DEEPSEEK_3        },
+    { "deepseek-ocr",      LLM_CHAT_TEMPLATE_DEEPSEEK_OCR      },
     { "command-r",         LLM_CHAT_TEMPLATE_COMMAND_R         },
     { "llama3",            LLM_CHAT_TEMPLATE_LLAMA_3           },
     { "chatglm3",          LLM_CHAT_TEMPLATE_CHATGLM_3         },
@@ -59,7 +60,8 @@ static const std::map<std::string, llm_chat_template> LLM_CHAT_TEMPLATES = {
     { "exaone4",           LLM_CHAT_TEMPLATE_EXAONE_4          },
     { "exaone-moe",        LLM_CHAT_TEMPLATE_EXAONE_MOE        },
     { "rwkv-world",        LLM_CHAT_TEMPLATE_RWKV_WORLD        },
-    { "granite",           LLM_CHAT_TEMPLATE_GRANITE           },
+    { "granite",           LLM_CHAT_TEMPLATE_GRANITE_3_X       },
+    { "granite-4.0",       LLM_CHAT_TEMPLATE_GRANITE_4_0       },
     { "gigachat",          LLM_CHAT_TEMPLATE_GIGACHAT          },
     { "megrez",            LLM_CHAT_TEMPLATE_MEGREZ            },
     { "yandex",            LLM_CHAT_TEMPLATE_YANDEX            },
@@ -71,6 +73,7 @@ static const std::map<std::string, llm_chat_template> LLM_CHAT_TEMPLATES = {
     { "hunyuan-moe",       LLM_CHAT_TEMPLATE_HUNYUAN_MOE       },
     { "gpt-oss",           LLM_CHAT_TEMPLATE_OPENAI_MOE        },
     { "hunyuan-dense",     LLM_CHAT_TEMPLATE_HUNYUAN_DENSE     },
+    { "hunyuan-ocr",       LLM_CHAT_TEMPLATE_HUNYUAN_OCR       },
     { "kimi-k2",           LLM_CHAT_TEMPLATE_KIMI_K2           },
     { "seed_oss",          LLM_CHAT_TEMPLATE_SEED_OSS          },
     { "grok-2",            LLM_CHAT_TEMPLATE_GROK_2            },
@@ -190,7 +193,10 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) {
     } else if (tmpl_contains("rwkv-world") || tmpl_contains("{{- 'User: ' + message['content']|trim + '\\n\\n' -}}")) {
         return LLM_CHAT_TEMPLATE_RWKV_WORLD;
     } else if (tmpl_contains("<|start_of_role|>")) {
-        return LLM_CHAT_TEMPLATE_GRANITE;
+        if (tmpl_contains("<tool_call>") || tmpl_contains("<tools>")) {
+            return LLM_CHAT_TEMPLATE_GRANITE_4_0;
+        }
+        return LLM_CHAT_TEMPLATE_GRANITE_3_X;
     } else if (tmpl_contains("message['role'] + additional_special_tokens[0] + message['content'] + additional_special_tokens[1]")) {
         return LLM_CHAT_TEMPLATE_GIGACHAT;
     } else if (tmpl_contains("<|role_start|>")) {
@@ -211,6 +217,8 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) {
         return LLM_CHAT_TEMPLATE_HUNYUAN_MOE;
     } else if (tmpl_contains("<|start|>") && tmpl_contains("<|channel|>")) {
         return LLM_CHAT_TEMPLATE_OPENAI_MOE;
+    } else if (tmpl_contains("<｜hy_Assistant｜>") && tmpl_contains("<｜hy_begin▁of▁sentence｜>")) {
+        return LLM_CHAT_TEMPLATE_HUNYUAN_OCR;
     } else if (tmpl_contains("<｜hy_Assistant｜>") && tmpl_contains("<｜hy_place▁holder▁no▁3｜>")) {
         return LLM_CHAT_TEMPLATE_HUNYUAN_DENSE;
     } else if (tmpl_contains("<|im_assistant|>assistant<|im_middle|>")) {
@@ -548,6 +556,11 @@ int32_t llm_chat_apply_template(
         if (add_ass) {
             ss << LU8("<｜Assistant｜>");
         }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_DEEPSEEK_OCR) {
+        for (auto message : chat) {
+            // no template
+            ss << message->content;
+        }
     } else if (tmpl == LLM_CHAT_TEMPLATE_EXAONE_3) {
         // ref: https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/discussions/8#66bae61b1893d14ee8ed85bb
         // EXAONE-3.0-7.8B-Instruct
@@ -611,8 +624,8 @@ int32_t llm_chat_apply_template(
                 ss << "Assistant: " << trim(chat[i]->content) << "\n\n";
             }
         }
-    } else if (tmpl == LLM_CHAT_TEMPLATE_GRANITE) {
-        // IBM Granite template
+    } else if (tmpl == LLM_CHAT_TEMPLATE_GRANITE_3_X) {
+        // IBM Granite 3.x template
         for (const auto & message : chat) {
             std::string role(message->role);
             ss << "<|start_of_role|>" << role << "<|end_of_role|>";
@@ -624,6 +637,20 @@ int32_t llm_chat_apply_template(
         if (add_ass) {
             ss << "<|start_of_role|>assistant<|end_of_role|>";
         }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_GRANITE_4_0) {
+        // IBM Granite 4.0 template
+        for (const auto & message : chat) {
+            std::string role(message->role);
+            if (role == "assistant_tool_call") {
+                ss << "<|start_of_role|>assistant<|end_of_role|><|tool_call|>";
+            } else {
+                ss << "<|start_of_role|>" << role << "<|end_of_role|>";
+            }
+            ss << message->content << "<|end_of_text|>\n";
+        }
+        if (add_ass) {
+            ss << "<|start_of_role|>assistant<|end_of_role|>";
+        }
     } else if (tmpl == LLM_CHAT_TEMPLATE_GIGACHAT) {
         // GigaChat template
         bool has_system = !chat.empty() && std::string(chat[0]->role) == "system";
@@ -798,6 +825,22 @@ int32_t llm_chat_apply_template(
                 ss << "<｜hy_User｜>" << chat[i]->content << "<｜hy_Assistant｜>";
             }
         }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_HUNYUAN_OCR) {
+        // tencent/HunyuanOCR
+        ss << "<｜hy_begin▁of▁sentence｜>";
+        for (size_t i = 0; i < chat.size(); i++) {
+            std::string role(chat[i]->role);
+            if (i == 0 && role == "system") {
+                ss << chat[i]->content << "<｜hy_place▁holder▁no▁3｜>";
+                continue;
+            }
+
+            if (role == "user") {
+                ss << chat[i]->content << "<｜hy_User｜>";
+            } else if (role == "assistant") {
+                ss << chat[i]->content << "<｜hy_Assistant｜>";
+            }
+        }
     } else if (tmpl == LLM_CHAT_TEMPLATE_KIMI_K2) {
         // moonshotai/Kimi-K2-Instruct
         for (auto message : chat) {
diff --git a/src/llama-chat.h b/src/llama-chat.h
index 9ed1db128ec537806fc6df9376dfa9aa09e817fd..13f936a946c495668559adb0d6ad4f1228f0a2c1 100644
--- a/src/llama-chat.h
+++ b/src/llama-chat.h
@@ -28,6 +28,7 @@ enum llm_chat_template {
     LLM_CHAT_TEMPLATE_DEEPSEEK,
     LLM_CHAT_TEMPLATE_DEEPSEEK_2,
     LLM_CHAT_TEMPLATE_DEEPSEEK_3,
+    LLM_CHAT_TEMPLATE_DEEPSEEK_OCR,
     LLM_CHAT_TEMPLATE_COMMAND_R,
     LLM_CHAT_TEMPLATE_LLAMA_3,
     LLM_CHAT_TEMPLATE_CHATGLM_3,
@@ -38,7 +39,8 @@ enum llm_chat_template {
     LLM_CHAT_TEMPLATE_EXAONE_4,
     LLM_CHAT_TEMPLATE_EXAONE_MOE,
     LLM_CHAT_TEMPLATE_RWKV_WORLD,
-    LLM_CHAT_TEMPLATE_GRANITE,
+    LLM_CHAT_TEMPLATE_GRANITE_3_X,
+    LLM_CHAT_TEMPLATE_GRANITE_4_0,
     LLM_CHAT_TEMPLATE_GIGACHAT,
     LLM_CHAT_TEMPLATE_MEGREZ,
     LLM_CHAT_TEMPLATE_YANDEX,
@@ -51,6 +53,7 @@ enum llm_chat_template {
     LLM_CHAT_TEMPLATE_HUNYUAN_MOE,
     LLM_CHAT_TEMPLATE_OPENAI_MOE,
     LLM_CHAT_TEMPLATE_HUNYUAN_DENSE,
+    LLM_CHAT_TEMPLATE_HUNYUAN_OCR,
     LLM_CHAT_TEMPLATE_KIMI_K2,
     LLM_CHAT_TEMPLATE_SEED_OSS,
     LLM_CHAT_TEMPLATE_GROK_2,
diff --git a/src/llama-context.cpp b/src/llama-context.cpp
index dc61afb0bdb301b3b8b3e4ab18c6f8b40b6373b8..8126249e1436043be72085d74ec18efc1d04ccfd 100644
--- a/src/llama-context.cpp
+++ b/src/llama-context.cpp
@@ -1,5 +1,6 @@
 #include "llama-context.h"
 
+#include "ggml.h"
 #include "llama-arch.h"
 #include "llama-impl.h"
 #include "llama-batch.h"
@@ -8,6 +9,7 @@
 #include "llama-mmap.h"
 #include "llama-model.h"
 #include "llama-ext.h"
+#include "llama.h"
 
 #include <cinttypes>
 #include <cmath>
@@ -217,10 +219,10 @@ llama_context::llama_context(
 
     if (!hparams.vocab_only) {
         // GPU backends
-        for (auto * dev : model.devices) {
-            ggml_backend_t backend = ggml_backend_dev_init(dev, nullptr);
+        for (const auto & dev : model.devices) {
+            ggml_backend_t backend = ggml_backend_dev_init(dev.dev, nullptr);
             if (backend == nullptr) {
-                throw std::runtime_error(format("failed to initialize %s backend", ggml_backend_dev_name(dev)));
+                throw std::runtime_error(format("failed to initialize %s backend", ggml_backend_dev_name(dev.dev)));
             }
             backends.emplace_back(backend);
         }
@@ -295,8 +297,8 @@ llama_context::llama_context(
 
             if (backend_type == GGML_BACKEND_DEVICE_TYPE_CPU && !model.devices.empty()) {
                 // use the host buffer of the first device CPU for faster transfer of the intermediate state
-                auto * dev = model.devices[0];
-                auto * host_buft = ggml_backend_dev_host_buffer_type(dev);
+                const auto & dev = model.devices[0];
+                auto * host_buft = ggml_backend_dev_host_buffer_type(dev.dev);
                 if (host_buft) {
                     buft = host_buft;
                 }
@@ -342,14 +344,6 @@ llama_context::llama_context(
 
         if (cparams.pipeline_parallel) {
             LLAMA_LOG_INFO("%s: pipeline parallelism enabled\n", __func__);
-
-            if (!graph_reuse_disable) {
-                // TODO: figure out a way to make graph reuse work with pipeline parallelism
-                // ref: https://github.com/ggml-org/llama.cpp/pull/20463
-                LLAMA_LOG_WARN("%s: graph reuse is currently not compatible with pipeline parallelism - disabling\n", __func__);
-
-                graph_reuse_disable = true;
-            }
         }
 
         sched_reserve();
@@ -594,7 +588,7 @@ void llama_context::sched_reserve() {
 
     // reserve again with pp graph to avoid ggml-alloc reallocations during inference
     {
-        // TODO: not sure if the following graph would be worster case for multi-stream KV caches:
+        // TODO: not sure if the following graph would be worst case for multi-stream KV caches:
         //
         // auto * gf = graph_reserve(n_tokens, 1, n_tokens, mctx.get());
         //
@@ -1028,9 +1022,11 @@ void llama_context::set_abort_callback(bool (*abort_callback)(void * data), void
 
     for (auto & backend : backends) {
         auto * reg = ggml_backend_dev_backend_reg(ggml_backend_get_device(backend.get()));
-        auto * set_abort_callback_fn = (ggml_backend_set_abort_callback_t) ggml_backend_reg_get_proc_address(reg, "ggml_backend_set_abort_callback");
-        if (set_abort_callback_fn) {
-            set_abort_callback_fn(backend.get(), this->abort_callback, this->abort_callback_data);
+        if (reg) {
+            auto * set_abort_callback_fn = (ggml_backend_set_abort_callback_t) ggml_backend_reg_get_proc_address(reg, "ggml_backend_set_abort_callback");
+            if (set_abort_callback_fn) {
+                set_abort_callback_fn(backend.get(), this->abort_callback, this->abort_callback_data);
+            }
         }
     }
 }
@@ -1189,6 +1185,13 @@ llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, ll
     if (!graph_reuse_disable && res->can_reuse(gparams)) {
         //LLAMA_LOG_DEBUG("%s: reusing previous graph\n", __func__);
 
+        // with pipeline parallelism, the previous graph_compute_async may still be running
+        // on the GPU. we must synchronize before set_inputs to avoid overwriting input tensors
+        // that the previous compute is still reading.
+        if (cparams.pipeline_parallel) {
+            ggml_backend_sched_synchronize(sched.get());
+        }
+
         n_reused++;
     } else {
         res->reset();
@@ -1347,8 +1350,11 @@ int llama_context::encode(const llama_batch & batch_inp) {
                         const llama_seq_id seq_id  = ubatch.seq_id_unq[s];
                         const int32_t      seq_idx = ubatch.seq_idx[seq_id];
 
-                        embd_seq_out[seq_id].resize(n_embd);
-                        ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd*seq_idx)*sizeof(float), n_embd*sizeof(float));
+                        // use n_embd_out (not n_embd_inp) - the pooled embedding has the model's
+                        // output dimension, which differs from input dimension for deepstack models (e.g. qwen3vl)
+                        const uint32_t n_embd_out = hparams.n_embd_out();
+                        embd_seq_out[seq_id].resize(n_embd_out);
+                        ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd_out*seq_idx)*sizeof(float), n_embd_out*sizeof(float));
                     }
                 } break;
             case LLAMA_POOLING_TYPE_RANK:
@@ -1769,12 +1775,16 @@ int llama_context::decode(const llama_batch & batch_inp) {
                         // extract sequence embeddings (cleared before processing each batch)
                         auto & embd_seq_out = embd_seq;
 
+                        // use n_embd_out (not n_embd_inp) - the pooled embedding has the model's
+                        // output dimension, which differs from input dimension for deepstack models (e.g. qwen3vl)
+                        const uint32_t n_embd_out = hparams.n_embd_out();
+
                         for (uint32_t s = 0; s < ubatch.n_seqs_unq; ++s) {
                             const llama_seq_id seq_id  = ubatch.seq_id_unq[s];
                             const int32_t      seq_idx = ubatch.seq_idx[seq_id];
 
-                            embd_seq_out[seq_id].resize(n_embd);
-                            ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd*seq_idx)*sizeof(float), n_embd*sizeof(float));
+                            embd_seq_out[seq_id].resize(n_embd_out);
+                            ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd_out*seq_idx)*sizeof(float), n_embd_out*sizeof(float));
                         }
                     } break;
                 case LLAMA_POOLING_TYPE_RANK:
@@ -1946,6 +1956,7 @@ uint32_t llama_context::output_reserve(int32_t n_outputs) {
             LLAMA_LOG_ERROR("%s: failed to allocate output buffer of size %.2f MiB\n", __func__, new_size / (1024.0 * 1024.0));
             return 0;
         }
+        ggml_backend_buffer_clear(buf_output.get(), 0);
     }
 
     float * output_base = (float *) ggml_backend_buffer_get_base(buf_output.get());
@@ -2625,7 +2636,7 @@ void llama_context::perf_reset() {
     n_reused    = 0;
 }
 
-std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> llama_context::memory_breakdown() const {
+llama_memory_breakdown llama_context::memory_breakdown() const {
     std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> ret;
     for (const auto & [buft, size] : model.memory_breakdown()) {
         ret[buft].model += size;
@@ -2935,7 +2946,22 @@ llama_context * llama_init_from_model(
         params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_DISABLED;
     }
 
-    if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_k)) {
+    if (model->split_mode() == LLAMA_SPLIT_MODE_TENSOR) {
+        if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO) {
+            LLAMA_LOG_INFO("%s: enabling flash_attn since it is required for SPLIT_MODE_TENSOR\n", __func__);
+            params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_ENABLED;
+        }
+        if (params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_ENABLED) {
+            LLAMA_LOG_ERROR("%s: SPLIT_MODE_TENSOR requires flash_attn to be enabled\n", __func__);
+            return nullptr;
+        }
+        if (ggml_is_quantized(params.type_k) || ggml_is_quantized(params.type_v)) {
+            LLAMA_LOG_ERROR("%s: simultaneous use of SPLIT_MODE_TENSOR and KV cache quantization not implemented\n", __func__);
+            return nullptr;
+        }
+    }
+
+    if (params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED && ggml_is_quantized(params.type_k)) {
         const uint32_t blck_size = ggml_blck_size(params.type_k);
         for (uint32_t il = 0; il < model->hparams.n_layer; ++il) {
             if (model->hparams.n_embd_head_k(il) % blck_size != 0) {
@@ -2946,7 +2972,7 @@ llama_context * llama_init_from_model(
         }
     }
 
-    if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_v)) {
+    if (params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED && ggml_is_quantized(params.type_v)) {
         const uint32_t blck_size = ggml_blck_size(params.type_v);
         for (uint32_t il = 0; il < model->hparams.n_layer; ++il) {
             if (model->hparams.n_embd_head_v(il) % blck_size != 0) {
@@ -3467,142 +3493,6 @@ void llama_perf_context_reset(llama_context * ctx) {
     ctx->perf_reset();
 }
 
-void llama_memory_breakdown_print(const struct llama_context * ctx) {
-    const std::vector<ggml_backend_dev_t> & devices = ctx->get_model().devices;
-
-    std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> memory_breakdown = ctx->memory_breakdown();
-
-    std::vector<std::array<std::string, 9>> table_data;
-    table_data.reserve(devices.size());
-    const std::string template_header = "%s: | %s | %s   %s    %s   %s   %s   %s    %s |\n";
-    const std::string template_gpu    = "%s: | %s | %s = %s + (%s = %s + %s + %s) + %s |\n";
-    const std::string template_other  = "%s: | %s | %s   %s    %s = %s + %s + %s    %s |\n";
-
-    table_data.push_back({template_header, "memory breakdown [MiB]", "total", "free", "self", "model", "context", "compute", "unaccounted"});
-
-    constexpr size_t MiB = 1024 * 1024;
-    const std::vector<std::string> desc_prefixes_strip = {"NVIDIA ", "GeForce ", "Tesla ", "AMD ", "Radeon ", "Instinct "};
-
-    // track seen buffer types to avoid double counting:
-    std::set<ggml_backend_buffer_type_t> seen_buffer_types;
-
-    // accumulative memory breakdown for each device and for host:
-    std::vector<llama_memory_breakdown_data> mb_dev(devices.size());
-    llama_memory_breakdown_data              mb_host;
-
-    for (const auto & buft_mb : memory_breakdown) {
-        ggml_backend_buffer_type_t          buft = buft_mb.first;
-        const llama_memory_breakdown_data & mb   = buft_mb.second;
-        if (ggml_backend_buft_is_host(buft)) {
-            mb_host.model   += mb.model;
-            mb_host.context += mb.context;
-            mb_host.compute += mb.compute;
-            seen_buffer_types.insert(buft);
-            continue;
-        }
-        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
-        if (dev) {
-            int i_dev = -1;
-            for (size_t i = 0; i < devices.size(); i++) {
-                if (devices[i] == dev) {
-                    i_dev = i;
-                    break;
-                }
-            }
-            if (i_dev != -1) {
-                mb_dev[i_dev].model   += mb.model;
-                mb_dev[i_dev].context += mb.context;
-                mb_dev[i_dev].compute += mb.compute;
-                seen_buffer_types.insert(buft);
-                continue;
-            }
-        }
-    }
-
-    // print memory breakdown for each device:
-    for (size_t i = 0; i < devices.size(); i++) {
-        ggml_backend_dev_t          dev = devices[i];
-        llama_memory_breakdown_data mb  = mb_dev[i];
-
-        const std::string name = ggml_backend_dev_name(dev);
-        std::string desc = ggml_backend_dev_description(dev);
-        for (const std::string & prefix : desc_prefixes_strip) {
-            if (desc.length() >= prefix.length() && desc.substr(0, prefix.length()) == prefix) {
-                desc = desc.substr(prefix.length());
-            }
-        }
-
-        size_t free, total;
-        ggml_backend_dev_memory(dev, &free, &total);
-
-        const size_t self = mb.model + mb.context + mb.compute;
-        const size_t unaccounted = total - self - free;
-
-        table_data.push_back({
-            template_gpu,
-            "  - " + name + " (" + desc + ")",
-            std::to_string(total / MiB),
-            std::to_string(free / MiB),
-            std::to_string(self / MiB),
-            std::to_string(mb.model / MiB),
-            std::to_string(mb.context / MiB),
-            std::to_string(mb.compute / MiB),
-            std::to_string(unaccounted / MiB)});
-    }
-
-    // print memory breakdown for host:
-    {
-        const size_t self = mb_host.model + mb_host.context + mb_host.compute;
-        table_data.push_back({
-            template_other,
-            "  - Host",
-            "", // total
-            "", // free
-            std::to_string(self / MiB),
-            std::to_string(mb_host.model / MiB),
-            std::to_string(mb_host.context / MiB),
-            std::to_string(mb_host.compute / MiB),
-            ""}); // unaccounted
-    }
-
-    // print memory breakdown for all remaining buffer types:
-    for (const auto & buft_mb : memory_breakdown) {
-        ggml_backend_buffer_type_t          buft = buft_mb.first;
-        const llama_memory_breakdown_data & mb   = buft_mb.second;
-        if (seen_buffer_types.count(buft) == 1) {
-            continue;
-        }
-        const std::string name = ggml_backend_buft_name(buft);
-        const size_t self = mb.model + mb.context + mb.compute;
-        table_data.push_back({
-            template_other,
-            "  - " + name,
-            "", // total
-            "", // free
-            std::to_string(self / MiB),
-            std::to_string(mb.model / MiB),
-            std::to_string(mb.context / MiB),
-            std::to_string(mb.compute / MiB),
-            ""}); // unaccounted
-        seen_buffer_types.insert(buft);
-    }
-
-    for (size_t j = 1; j < table_data[0].size(); j++) {
-        size_t max_len = 0;
-        for (const auto & td : table_data) {
-            max_len = std::max(max_len, td[j].length());
-        }
-        for (auto & td : table_data) {
-            td[j].insert(j == 1 ? td[j].length() : 0, max_len - td[j].length(), ' ');
-        }
-    }
-    for (const auto & td : table_data) {
-        LLAMA_LOG_INFO(td[0].c_str(),
-            __func__, td[1].c_str(), td[2].c_str(), td[3].c_str(), td[4].c_str(), td[5].c_str(),
-            td[6].c_str(), td[7].c_str(), td[8].c_str());
-    }
-}
-
 //
 // training
 //
@@ -3633,3 +3523,11 @@ void llama_opt_epoch(
         callback_train,
         callback_eval);
 }
+
+//
+// ext
+//
+
+llama_memory_breakdown llama_get_memory_breakdown(const struct llama_context * ctx) {
+    return ctx->memory_breakdown();
+}
diff --git a/src/llama-context.h b/src/llama-context.h
index e0d0085c1c3fb6fd673b7ea2b6c4452446d7b122..53c705eaffce285928b81842ad19bfa091bc9250 100644
--- a/src/llama-context.h
+++ b/src/llama-context.h
@@ -1,6 +1,7 @@
 #pragma once
 
 #include "llama.h"
+#include "llama-ext.h"
 #include "llama-cparams.h"
 #include "llama-graph.h"
 #include "llama-adapter.h"
@@ -22,17 +23,6 @@ class llama_io_write_i;
 struct llama_memory_i;
 struct llama_memory_context_i;
 
-// "memory" as in physical memory for a buffer type, in bytes
-struct llama_memory_breakdown_data {
-    size_t model   = 0; // memory allocated for the model
-    size_t context = 0; // memory allocated for the context
-    size_t compute = 0; // memory allocated for temporary compute buffers
-
-    size_t total() const {
-        return model + context + compute;
-    }
-};
-
 struct llama_context {
     // init scheduler and compute buffers, reserve worst-case graphs
     llama_context(
@@ -172,7 +162,7 @@ struct llama_context {
     llama_perf_context_data perf_get_data() const;
     void perf_reset();
 
-    std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> memory_breakdown() const;
+    llama_memory_breakdown memory_breakdown() const;
 
     //
     // training
diff --git a/src/llama-ext.h b/src/llama-ext.h
index 13ced783b42fbe53347f6f7325015f1da2fd79b4..8ce29d217cb6ba71447ffbe7795b5f5e7bbae3b0 100644
--- a/src/llama-ext.h
+++ b/src/llama-ext.h
@@ -1,8 +1,12 @@
 #pragma once
 
-#include "llama-context.h"
-#include "ggml.h"
-#include "stdint.h"
+// this is a staging header for new llama.cpp API
+// breaking changes and C++ are allowed. everything here should be considered WIP
+
+#include "llama.h"
+
+#include <cstdint>
+#include <map>
 
 // Reserve a new compute graph. It is valid until the next call to llama_graph_reserve.
 LLAMA_API struct ggml_cgraph * llama_graph_reserve(
@@ -10,3 +14,77 @@ LLAMA_API struct ggml_cgraph * llama_graph_reserve(
         uint32_t n_tokens,
         uint32_t n_seqs,
         uint32_t n_outputs);
+
+// Get the default ggml_type for a given ftype.
+LLAMA_API ggml_type llama_ftype_get_default_type(llama_ftype ftype);
+
+struct quantize_state_impl;
+
+LLAMA_API quantize_state_impl * llama_quant_init(
+        const llama_model * model,
+        const llama_model_quantize_params * params);
+
+LLAMA_API void llama_quant_free(quantize_state_impl * qs);
+
+// Descriptor for constructing a mock model for quantization testing.
+struct llama_quant_model_desc {
+    const char * architecture;
+    uint32_t n_embd;
+    uint32_t n_ff;
+    uint32_t n_layer;
+    uint32_t n_head;
+    uint32_t n_head_kv;
+    uint32_t n_expert;
+    uint32_t n_embd_head_k;
+    uint32_t n_embd_head_v;
+};
+
+// Create a mock model from a metadata descriptor (for testing).
+// The returned model must be freed with llama_model_free().
+LLAMA_API llama_model * llama_quant_model_from_metadata(const llama_quant_model_desc * desc);
+
+// Returns true if this tensor should be quantized (based on name, dims, params).
+LLAMA_API bool llama_quant_tensor_allows_quantization(
+        const quantize_state_impl * qs,
+        const ggml_tensor * tensor);
+
+// Compute quantization type assignments for a list of tensors.
+// All tensors should be quantizable (use llama_quant_tensor_allows_quantization to filter).
+// result_types: caller-allocated array of n_tensors elements, filled with assigned types.
+LLAMA_API void llama_quant_compute_types(
+        quantize_state_impl * qs,
+        llama_ftype ftype,
+        ggml_tensor ** tensors,
+        ggml_type * result_types,
+        size_t n_tensors);
+
+//
+// device memory querying
+//
+
+// "memory" as in physical memory for a buffer type, in bytes
+struct llama_memory_breakdown_data {
+    size_t model   = 0; // memory allocated for the model
+    size_t context = 0; // memory allocated for the context
+    size_t compute = 0; // memory allocated for temporary compute buffers
+
+    size_t total() const {
+        return model + context + compute;
+    }
+};
+
+struct llama_device_memory_data {
+    int64_t total;
+    int64_t free;
+    llama_memory_breakdown_data mb;
+};
+
+// TODO: convert to C-style data structure
+using llama_memory_breakdown = std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data>;
+
+LLAMA_API int32_t llama_model_n_expert (const struct llama_model * model);
+LLAMA_API int32_t llama_model_n_devices(const struct llama_model * model);
+
+LLAMA_API ggml_backend_dev_t llama_model_get_device(const struct llama_model * model, int i);
+
+LLAMA_API llama_memory_breakdown llama_get_memory_breakdown(const struct llama_context * ctx);
diff --git a/src/llama-grammar.cpp b/src/llama-grammar.cpp
index aac0d41f2b41a5c5e25530d485f2ebe7c80d3165..badcbfd0fbb68364db43e1b1823ffa3c126ade84 100644
--- a/src/llama-grammar.cpp
+++ b/src/llama-grammar.cpp
@@ -7,6 +7,7 @@
 #include <cmath>
 #include <algorithm>
 #include <cstdint>
+#include <set>
 #include <stdexcept>
 
 #define MAX_REPETITION_THRESHOLD 2000
@@ -454,6 +455,7 @@ const char * llama_grammar_parser::parse_sequence(
         bool               is_nested) {
     size_t last_sym_start = rule.size();
     const char * pos = src;
+    uint64_t n_prev_rules = 1;
 
     // use UINT64_MAX as the empty value because we aligned to the proper uint64_t type so -1 can't be used
     // (though it's technically the same as -1 now)
@@ -481,6 +483,18 @@ const char * llama_grammar_parser::parse_sequence(
         //            S'     ::= S |
 
         llama_grammar_rule prev_rule(rule.begin() + last_sym_start, rule.end());
+        // Calculate the total number of rules that will be generated by this repetition
+        uint64_t total_rules = 1; // Start with 1 for the original rule
+        if (!no_max && max_times > 0) {
+            total_rules = max_times;
+        } else if (min_times > 0) {
+            total_rules = min_times;
+        }
+
+        if (n_prev_rules * total_rules >= MAX_REPETITION_THRESHOLD) {
+            throw std::runtime_error("number of rules that are going to be repeated multiplied by the new repetition exceeds sane defaults, please reduce the number of repetitions or rule complexity");
+        }
+
         if (min_times == 0) {
             rule.resize(last_sym_start);
         } else {
@@ -508,12 +522,15 @@ const char * llama_grammar_parser::parse_sequence(
         if (n_opt > 0) {
             rule.push_back({LLAMA_GRETYPE_RULE_REF, last_rec_rule_id});
         }
+        n_prev_rules *= total_rules;
+        GGML_ASSERT(n_prev_rules >= 1);
     };
 
     while (*pos) {
         if (*pos == '"') { // literal string
             pos++;
             last_sym_start = rule.size();
+            n_prev_rules = 1;
             while (*pos != '"') {
                 if (!*pos) {
                     throw std::runtime_error("unexpected end of input");
@@ -531,6 +548,7 @@ const char * llama_grammar_parser::parse_sequence(
                 start_type = LLAMA_GRETYPE_CHAR_NOT;
             }
             last_sym_start = rule.size();
+            n_prev_rules = 1;
             while (*pos != ']') {
                 if (!*pos) {
                     throw std::runtime_error("unexpected end of input");
@@ -561,6 +579,7 @@ const char * llama_grammar_parser::parse_sequence(
             auto token_pair = parse_token(vocab, pos);
             const char * token_end  = token_pair.second;
             last_sym_start = rule.size();
+            n_prev_rules = 1;
             rule.push_back({type, token_pair.first});
             pos = parse_space(token_end, is_nested);
         } else if (is_word_char(*pos)) { // rule reference
@@ -568,12 +587,15 @@ const char * llama_grammar_parser::parse_sequence(
             uint32_t ref_rule_id = get_symbol_id(pos, name_end - pos);
             pos = parse_space(name_end, is_nested);
             last_sym_start = rule.size();
+            n_prev_rules = 1;
             rule.push_back({LLAMA_GRETYPE_RULE_REF, ref_rule_id});
         } else if (*pos == '(') { // grouping
             // parse nested alternates into synthesized rule
             pos = parse_space(pos + 1, true);
+            uint32_t n_rules_before = symbol_ids.size();
             uint32_t sub_rule_id = generate_symbol_id(rule_name);
             pos = parse_alternates(pos, rule_name, sub_rule_id, true);
+            n_prev_rules = std::max(1u, (uint32_t)symbol_ids.size() - n_rules_before);
             last_sym_start = rule.size();
             // output reference to synthesized rule
             rule.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id});
@@ -583,6 +605,7 @@ const char * llama_grammar_parser::parse_sequence(
             pos = parse_space(pos + 1, is_nested);
         } else if (*pos == '.') { // any char
             last_sym_start = rule.size();
+            n_prev_rules = 1;
             rule.push_back({LLAMA_GRETYPE_CHAR_ANY, 0});
             pos = parse_space(pos + 1, is_nested);
         } else if (*pos == '*') {
@@ -830,32 +853,54 @@ static bool llama_grammar_match_token(
 static void llama_grammar_advance_stack(
         const llama_grammar_rules  & rules,
         const llama_grammar_stack  & stack,
-              llama_grammar_stacks & new_stacks) {
-    if (stack.empty()) {
-        if (std::find(new_stacks.begin(), new_stacks.end(), stack) == new_stacks.end()) {
-            new_stacks.emplace_back(stack);
+        llama_grammar_stacks & new_stacks) {
+    std::vector<llama_grammar_stack> todo;
+    todo.push_back(stack);
+
+    auto stack_cmp = [](const llama_grammar_stack & a, const llama_grammar_stack & b) {
+        return std::lexicographical_compare(a.begin(), a.end(), b.begin(), b.end(),
+            [](const llama_grammar_element * pa, const llama_grammar_element * pb) {
+                return pa < pb;  // Compare pointer addresses
+            }
+        );
+    };
+
+    std::set<llama_grammar_stack, decltype(stack_cmp)> seen(stack_cmp);
+
+    while (!todo.empty()) {
+        llama_grammar_stack curr_stack = std::move(todo.back());
+        todo.pop_back();
+
+        if (seen.find( curr_stack) != seen.end()) {
+            continue;
         }
-        return;
-    }
+        seen.insert(curr_stack);
 
-    const llama_grammar_element * pos = stack.back();
+        if (curr_stack.empty()) {
+            if (std::find(new_stacks.begin(), new_stacks.end(), curr_stack) == new_stacks.end()) {
+                new_stacks.emplace_back(std::move(curr_stack));
+            }
+            continue;
+        }
 
-    switch (pos->type) {
+        const llama_grammar_element * pos = curr_stack.back();
+
+        switch (pos->type) {
         case LLAMA_GRETYPE_RULE_REF: {
             const size_t                  rule_id = static_cast<size_t>(pos->value);
             const llama_grammar_element * subpos  = rules[rule_id].data();
             do {
                 // init new stack without the top (pos)
-                llama_grammar_stack new_stack(stack.begin(), stack.end() - 1);
+                llama_grammar_stack next_stack(curr_stack.begin(), curr_stack.end() - 1);
                 if (!llama_grammar_is_end_of_sequence(pos + 1)) {
                     // if this rule ref is followed by another element, add that to stack
-                    new_stack.push_back(pos + 1);
+                    next_stack.push_back(pos + 1);
                 }
                 if (!llama_grammar_is_end_of_sequence(subpos)) {
                     // if alternate is nonempty, add to stack
-                    new_stack.push_back(subpos);
+                    next_stack.push_back(subpos);
                 }
-                llama_grammar_advance_stack(rules, new_stack, new_stacks);
+                todo.push_back(std::move(next_stack));
                 while (!llama_grammar_is_end_of_sequence(subpos)) {
                     // scan to end of alternate def
                     subpos++;
@@ -874,9 +919,9 @@ static void llama_grammar_advance_stack(
         case LLAMA_GRETYPE_CHAR_ANY:
         case LLAMA_GRETYPE_TOKEN:
         case LLAMA_GRETYPE_TOKEN_NOT:
-            if (std::find(new_stacks.begin(), new_stacks.end(), stack) == new_stacks.end()) {
+            if (std::find(new_stacks.begin(), new_stacks.end(), curr_stack) == new_stacks.end()) {
                 // only add the stack if it's not a duplicate of one we already have
-                new_stacks.emplace_back(stack);
+                new_stacks.emplace_back(std::move(curr_stack));
             }
             break;
         default:
@@ -884,6 +929,7 @@ static void llama_grammar_advance_stack(
             // (LLAMA_GRETYPE_CHAR_ALT, LLAMA_GRETYPE_CHAR_RNG_UPPER); stack should never be left on
             // those
             GGML_ABORT("fatal error");
+        }
     }
 }
 
diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp
index 9a215bb77a00c441d537beb2177dc57e7867e9c8..2ff23f87cf44c1b1fdf49ef47e580195c283d4e9 100644
--- a/src/llama-graph.cpp
+++ b/src/llama-graph.cpp
@@ -1,6 +1,7 @@
 #include "llama-graph.h"
 
 #include "llama-impl.h"
+#include "llama-model.h"
 #include "llama-batch.h"
 #include "llama-cparams.h"
 
@@ -19,7 +20,7 @@
 
 // dedup helpers
 
-static ggml_tensor * build_kq_mask(
+static ggml_tensor * build_attn_inp_kq_mask(
         ggml_context * ctx,
         const llama_kv_cache_context * mctx,
         const llama_ubatch & ubatch,
@@ -28,7 +29,11 @@ static ggml_tensor * build_kq_mask(
     const auto n_tokens = ubatch.n_tokens;
     const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
 
-    return ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+    ggml_tensor * res = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+    ggml_set_input(res);
+    ggml_set_name(res, "attn_inp_kq_mask");
+
+    return res;
 }
 
 static bool can_reuse_kq_mask(
@@ -52,6 +57,21 @@ static bool can_reuse_kq_mask(
 
 // impl
 
+static ggml_tensor * ggml_mul_mat_aux(
+        ggml_context * ctx,
+        ggml_tensor * cur,
+        ggml_tensor * rot) {
+    const auto n = rot->ne[0];
+
+    ggml_tensor * res;
+
+    res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n);
+    res = ggml_mul_mat   (ctx, rot, res);
+    res = ggml_reshape_4d(ctx, res, cur->ne[0], cur->ne[1], cur->ne[2], cur->ne[3]);
+
+    return res;
+}
+
 void llm_graph_input_embd::set_input(const llama_ubatch * ubatch) {
     if (ubatch->token) {
         const int64_t n_tokens = ubatch->n_tokens;
@@ -429,6 +449,14 @@ void llm_graph_input_attn_kv::set_input(const llama_ubatch * ubatch) {
     mctx->set_input_v_idxs(self_v_idxs, ubatch);
 
     mctx->set_input_kq_mask(self_kq_mask, ubatch, cparams.causal_attn);
+
+    if (self_k_rot) {
+        mctx->set_input_k_rot(self_k_rot);
+    }
+
+    if (self_v_rot) {
+        mctx->set_input_v_rot(self_v_rot);
+    }
 }
 
 bool llm_graph_input_attn_kv::can_reuse(const llm_graph_params & params) {
@@ -476,6 +504,22 @@ void llm_graph_input_attn_kv_iswa::set_input(const llama_ubatch * ubatch) {
     mctx->get_swa()->set_input_v_idxs(self_v_idxs_swa, ubatch);
 
     mctx->get_swa()->set_input_kq_mask(self_kq_mask_swa, ubatch, cparams.causal_attn);
+
+    if (self_k_rot) {
+        mctx->get_base()->set_input_k_rot(self_k_rot);
+    }
+
+    if (self_v_rot) {
+        mctx->get_base()->set_input_v_rot(self_v_rot);
+    }
+
+    if (self_k_rot_swa) {
+        mctx->get_swa()->set_input_k_rot(self_k_rot_swa);
+    }
+
+    if (self_v_rot_swa) {
+        mctx->get_swa()->set_input_v_rot(self_v_rot_swa);
+    }
 }
 
 bool llm_graph_input_attn_kv_iswa::can_reuse(const llm_graph_params & params) {
@@ -532,6 +576,14 @@ void llm_graph_input_mem_hybrid::set_input(const llama_ubatch * ubatch) {
 
     mctx->get_attn()->set_input_kq_mask(inp_attn->self_kq_mask, ubatch, cparams.causal_attn);
 
+    if (inp_attn->self_k_rot) {
+        mctx->get_attn()->set_input_k_rot(inp_attn->self_k_rot);
+    }
+
+    if (inp_attn->self_v_rot) {
+        mctx->get_attn()->set_input_v_rot(inp_attn->self_v_rot);
+    }
+
     const int64_t n_rs = mctx->get_recr()->get_n_rs();
 
     if (inp_rs->s_copy) {
@@ -630,6 +682,22 @@ void llm_graph_input_mem_hybrid_iswa::set_input(const llama_ubatch * ubatch) {
         attn_ctx->get_swa()->set_input_kq_mask(inp_attn->self_kq_mask_swa, ubatch, cparams.causal_attn);
     }
 
+    if (inp_attn->self_k_rot) {
+        attn_ctx->get_base()->set_input_k_rot(inp_attn->self_k_rot);
+    }
+
+    if (inp_attn->self_v_rot) {
+        attn_ctx->get_base()->set_input_v_rot(inp_attn->self_v_rot);
+    }
+
+    if (inp_attn->self_k_rot_swa) {
+        attn_ctx->get_swa()->set_input_k_rot(inp_attn->self_k_rot_swa);
+    }
+
+    if (inp_attn->self_v_rot_swa) {
+        attn_ctx->get_swa()->set_input_v_rot(inp_attn->self_v_rot_swa);
+    }
+
     const int64_t n_rs = mctx->get_recr()->get_n_rs();
 
     if (inp_rs->s_copy) {
@@ -992,6 +1060,84 @@ ggml_tensor * llm_graph_context::build_norm(
     return cur;
 }
 
+
+llm_graph_qkv llm_graph_context::build_qkv(
+        const llama_layer & layer,
+              ggml_tensor * cur,
+                  int64_t   n_embd_head,
+                  int64_t   n_head,
+                  int64_t   n_head_kv,
+                      int   il) const {
+    const int64_t n_embd_q  = n_embd_head * n_head;
+    const int64_t n_embd_kv = n_embd_head * n_head_kv;
+
+    ggml_tensor * Qcur, * Kcur, * Vcur;
+
+    if (layer.wqkv) {
+        // fused QKV path
+        ggml_tensor * qkv = build_lora_mm(layer.wqkv, cur, layer.wqkv_s);
+        cb(qkv, "wqkv", il);
+        if (layer.wqkv_b) {
+            qkv = ggml_add(ctx0, qkv, layer.wqkv_b);
+            cb(qkv, "wqkv_b", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            qkv = ggml_clamp(ctx0, qkv, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(qkv, "wqkv_clamped", il);
+        }
+        Qcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head,    n_tokens,
+            ggml_row_size(qkv->type, n_embd_head), qkv->nb[1], 0);
+        Kcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head_kv, n_tokens,
+            ggml_row_size(qkv->type, n_embd_head), qkv->nb[1],
+            ggml_row_size(qkv->type, n_embd_q));
+        Vcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head_kv, n_tokens,
+            ggml_row_size(qkv->type, n_embd_head), qkv->nb[1],
+            ggml_row_size(qkv->type, n_embd_q + n_embd_kv));
+    } else {
+        // separate Q/K/V path
+        Qcur = build_lora_mm(layer.wq, cur, layer.wq_s);
+        cb(Qcur, "Qcur", il);
+        if (layer.wq_b) {
+            Qcur = ggml_add(ctx0, Qcur, layer.wq_b);
+            cb(Qcur, "Qcur", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            Qcur = ggml_clamp(ctx0, Qcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(Qcur, "Qcur_clamped", il);
+        }
+        Kcur = build_lora_mm(layer.wk, cur, layer.wk_s);
+        cb(Kcur, "Kcur", il);
+        if (layer.wk_b) {
+            Kcur = ggml_add(ctx0, Kcur, layer.wk_b);
+            cb(Kcur, "Kcur", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            Kcur = ggml_clamp(ctx0, Kcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(Kcur, "Kcur_clamped", il);
+        }
+        Vcur = build_lora_mm(layer.wv, cur, layer.wv_s);
+        cb(Vcur, "Vcur", il);
+        if (layer.wv_b) {
+            Vcur = ggml_add(ctx0, Vcur, layer.wv_b);
+            cb(Vcur, "Vcur", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            Vcur = ggml_clamp(ctx0, Vcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(Vcur, "Vcur_clamped", il);
+        }
+        Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
+        Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
+        Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+    }
+
+    cb(Qcur, "Qcur", il);
+    cb(Kcur, "Kcur", il);
+    cb(Vcur, "Vcur", il);
+
+    return { Qcur, Kcur, Vcur };
+}
+
+
 ggml_tensor * llm_graph_context::build_ffn(
          ggml_tensor * cur,
          ggml_tensor * up,
@@ -1516,9 +1662,11 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
 
     if (!weight_before_ffn) {
         experts = ggml_mul(ctx0, experts, weights);
-        cb(cur, "ffn_moe_weighted", il);
+        cb(experts, "ffn_moe_weighted", il);
     }
 
+    ggml_build_forward_expand(gf, experts);
+
     ggml_tensor * cur_experts[LLAMA_MAX_EXPERTS] = { nullptr };
 
     assert(n_expert_used > 0);
@@ -1538,6 +1686,8 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
 
     for (uint32_t i = 1; i < hparams.n_expert_used; ++i) {
         moe_out = ggml_add(ctx0, moe_out, cur_experts[i]);
+
+        ggml_build_forward_expand(gf, moe_out);
     }
 
     if (hparams.n_expert_used == 1) {
@@ -1665,7 +1815,7 @@ ggml_tensor * llm_graph_context::build_inp_attn_scale() const {
 
 ggml_tensor * llm_graph_context::build_inp_out_ids() const {
     // note: when all tokens are output, we could skip this optimization to spare the ggml_get_rows() calls,
-    //       but this would make the graph topology depend on the number of output tokens, which can interere with
+    //       but this would make the graph topology depend on the number of output tokens, which can interfere with
     //       features that require constant topology such as pipeline parallelism
     //       ref: https://github.com/ggml-org/llama.cpp/pull/14275#issuecomment-2987424471
     //if (n_outputs < n_tokens) {
@@ -1940,6 +2090,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_no_cache * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -1973,7 +2124,7 @@ ggml_tensor * llm_graph_context::build_attn(
     cb(cur, "kqv_out", il);
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
+        cur = build_lora_mm(wo, cur, wo_s);
     }
 
     if (wo_b) {
@@ -2002,13 +2153,13 @@ static std::unique_ptr<llm_graph_input_attn_kv> build_attn_inp_kv_impl(
         inp->self_k_idxs = mctx_cur->build_input_k_idxs(ctx0, ubatch);
         inp->self_v_idxs = mctx_cur->build_input_v_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask = build_kq_mask(ctx0, mctx_cur, ubatch, cparams);
-
-        ggml_set_input(inp->self_kq_mask);
-
+        inp->self_kq_mask = build_attn_inp_kq_mask(ctx0, mctx_cur, ubatch, cparams);
         inp->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp->self_kq_mask, GGML_TYPE_F16) : inp->self_kq_mask;
     }
 
+    inp->self_k_rot = mctx_cur->build_input_k_rot(ctx0);
+    inp->self_v_rot = mctx_cur->build_input_v_rot(ctx0);
+
     return inp;
 }
 
@@ -2024,6 +2175,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_kv * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2034,6 +2186,15 @@ ggml_tensor * llm_graph_context::build_attn(
             int       il) const {
     GGML_ASSERT(v_mla == nullptr);
 
+    if (inp->self_k_rot) {
+        q_cur = ggml_mul_mat_aux(ctx0, q_cur, inp->self_k_rot);
+        k_cur = ggml_mul_mat_aux(ctx0, k_cur, inp->self_k_rot);
+    }
+
+    if (inp->self_v_rot) {
+        v_cur = ggml_mul_mat_aux(ctx0, v_cur, inp->self_v_rot);
+    }
+
     // these nodes are added to the graph together so that they are not reordered
     // by doing so, the number of splits in the graph is reduced
     // expand k later to enable rope fusion which directly writes into k-v cache
@@ -2061,11 +2222,20 @@ ggml_tensor * llm_graph_context::build_attn(
     ggml_tensor * cur = build_attn_mha(q, k, v, kq_b, kq_mask, sinks, v_mla, kq_scale, il);
     cb(cur, "kqv_out", il);
 
+    if (inp->self_v_rot) {
+        cur = ggml_mul_mat_aux(ctx0, cur, inp->self_v_rot);
+    }
+
     if (wo) {
-        cur = build_lora_mm(wo, cur);
         if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE || arch == LLM_ARCH_JAIS2) {
             // GLM4, GLM4_MOE, and JAIS2 seem to have numerical issues with half-precision accumulators
+            cur = build_lora_mm(wo, cur);
             ggml_mul_mat_set_prec(cur, GGML_PREC_F32);
+            if (wo_s) {
+                cur = ggml_mul(ctx0, cur, wo_s);
+            }
+        } else {
+            cur = build_lora_mm(wo, cur, wo_s);
         }
     }
 
@@ -2090,9 +2260,7 @@ static std::unique_ptr<llm_graph_input_attn_k> build_attn_inp_k_impl(
 
         inp->self_k_idxs = mctx_cur->build_input_k_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask = build_kq_mask(ctx0, mctx_cur, ubatch, cparams);
-        ggml_set_input(inp->self_kq_mask);
-
+        inp->self_kq_mask = build_attn_inp_kq_mask(ctx0, mctx_cur, ubatch, cparams);
         inp->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp->self_kq_mask, GGML_TYPE_F16) : inp->self_kq_mask;
     }
 
@@ -2111,6 +2279,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_k * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2145,10 +2314,15 @@ ggml_tensor * llm_graph_context::build_attn(
     cb(cur, "kqv_out", il);
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
         if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE) {
             // GLM4 and GLM4_MOE seem to have numerical issues with half-precision accumulators
+            cur = build_lora_mm(wo, cur);
             ggml_mul_mat_set_prec(cur, GGML_PREC_F32);
+            if (wo_s) {
+                cur = ggml_mul(ctx0, cur, wo_s);
+            }
+        } else {
+            cur = build_lora_mm(wo, cur, wo_s);
         }
     }
 
@@ -2163,6 +2337,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_kv_iswa * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2171,6 +2346,23 @@ ggml_tensor * llm_graph_context::build_attn(
         ggml_tensor * v_mla,
             float     kq_scale,
             int       il) const {
+    const bool is_swa = hparams.is_swa(il);
+
+    auto * k_rot = is_swa ? inp->self_k_rot_swa : inp->self_k_rot;
+    auto * v_rot = is_swa ? inp->self_v_rot_swa : inp->self_v_rot;
+
+    if (k_rot) {
+        q_cur = ggml_mul_mat_aux(ctx0, q_cur, k_rot);
+        if (k_cur) {
+            k_cur = ggml_mul_mat_aux(ctx0, k_cur, k_rot);
+        }
+    }
+    if (v_rot) {
+        if (v_cur) {
+            v_cur = ggml_mul_mat_aux(ctx0, v_cur, v_rot);
+        }
+    }
+
     // these nodes are added to the graph together so that they are not reordered
     // by doing so, the number of splits in the graph is reduced
     ggml_build_forward_expand(gf, q_cur);
@@ -2185,8 +2377,6 @@ ggml_tensor * llm_graph_context::build_attn(
 
     const auto * mctx_iswa = inp->mctx;
 
-    const bool is_swa = hparams.is_swa(il);
-
     const auto * mctx_cur = is_swa ? mctx_iswa->get_swa() : mctx_iswa->get_base();
 
     // optionally store to KV cache
@@ -2211,8 +2401,12 @@ ggml_tensor * llm_graph_context::build_attn(
     ggml_tensor * cur = build_attn_mha(q, k, v, kq_b, kq_mask, sinks, v_mla, kq_scale, il);
     cb(cur, "kqv_out", il);
 
+    if (v_rot) {
+        cur = ggml_mul_mat_aux(ctx0, cur, v_rot);
+    }
+
     if (wo) {
-        cur = build_lora_mm(wo, cur);
+        cur = build_lora_mm(wo, cur, wo_s);
     }
 
     if (wo_b) {
@@ -2243,6 +2437,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_cross * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2267,7 +2462,7 @@ ggml_tensor * llm_graph_context::build_attn(
     cb(cur, "kqv_out", il);
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
+        cur = build_lora_mm(wo, cur, wo_s);
     }
 
     if (wo_b) {
@@ -2293,12 +2488,8 @@ llm_graph_input_attn_kv_iswa * llm_graph_context::build_attn_inp_kv_iswa() const
         inp->self_k_idxs = mctx_cur->get_base()->build_input_k_idxs(ctx0, ubatch);
         inp->self_v_idxs = mctx_cur->get_base()->build_input_v_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask = build_kq_mask(ctx0, mctx_cur->get_base(), ubatch, cparams);
-        ggml_set_input(inp->self_kq_mask);
-        ggml_set_name(inp->self_kq_mask, "self_kq_mask");
-
+        inp->self_kq_mask = build_attn_inp_kq_mask(ctx0, mctx_cur->get_base(), ubatch, cparams);
         inp->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp->self_kq_mask, GGML_TYPE_F16) : inp->self_kq_mask;
-        ggml_set_name(inp->self_kq_mask_cnv, "self_kq_mask_cnv");
     }
 
     {
@@ -2307,14 +2498,16 @@ llm_graph_input_attn_kv_iswa * llm_graph_context::build_attn_inp_kv_iswa() const
         inp->self_k_idxs_swa = mctx_cur->get_swa()->build_input_k_idxs(ctx0, ubatch);
         inp->self_v_idxs_swa = mctx_cur->get_swa()->build_input_v_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask_swa = build_kq_mask(ctx0, mctx_cur->get_swa(), ubatch, cparams);
-        ggml_set_input(inp->self_kq_mask_swa);
-        ggml_set_name(inp->self_kq_mask_swa, "self_kq_mask_swa");
-
+        inp->self_kq_mask_swa = build_attn_inp_kq_mask(ctx0, mctx_cur->get_swa(), ubatch, cparams);
         inp->self_kq_mask_swa_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp->self_kq_mask_swa, GGML_TYPE_F16) : inp->self_kq_mask_swa;
-        ggml_set_name(inp->self_kq_mask_swa_cnv, "self_kq_mask_swa_cnv");
     }
 
+    inp->self_k_rot = mctx_cur->get_base()->build_input_k_rot(ctx0);
+    inp->self_v_rot = mctx_cur->get_base()->build_input_v_rot(ctx0);
+
+    inp->self_k_rot_swa = mctx_cur->get_swa()->build_input_k_rot(ctx0);
+    inp->self_v_rot_swa = mctx_cur->get_swa()->build_input_v_rot(ctx0);
+
     return (llm_graph_input_attn_kv_iswa *) res->add_input(std::move(inp));
 }
 
@@ -2348,7 +2541,7 @@ ggml_tensor * llm_graph_context::build_rs(
     ggml_build_forward_expand(gf,
         ggml_cpy(ctx0,
             states_extra,
-            ggml_view_1d(ctx0, s, state_size*(n_rs - n_seqs), (rs_head + n_seqs)*state_size*ggml_element_size(s))));
+            ggml_view_2d(ctx0, s, state_size, (n_rs - n_seqs), s->nb[1], (rs_head + n_seqs)*s->nb[1])));
 
     return output_states;
 }
@@ -2473,9 +2666,7 @@ llm_graph_input_mem_hybrid_iswa * llm_graph_context::build_inp_mem_hybrid_iswa()
         inp_attn->self_k_idxs = attn_ctx->get_base()->build_input_k_idxs(ctx0, ubatch);
         inp_attn->self_v_idxs = attn_ctx->get_base()->build_input_v_idxs(ctx0, ubatch);
 
-        inp_attn->self_kq_mask = build_kq_mask(ctx0, attn_ctx->get_base(), ubatch, cparams);
-        ggml_set_input(inp_attn->self_kq_mask);
-
+        inp_attn->self_kq_mask = build_attn_inp_kq_mask(ctx0, attn_ctx->get_base(), ubatch, cparams);
         inp_attn->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp_attn->self_kq_mask, GGML_TYPE_F16) : inp_attn->self_kq_mask;
     }
 
@@ -2483,9 +2674,7 @@ llm_graph_input_mem_hybrid_iswa * llm_graph_context::build_inp_mem_hybrid_iswa()
         inp_attn->self_k_idxs_swa = attn_ctx->get_swa()->build_input_k_idxs(ctx0, ubatch);
         inp_attn->self_v_idxs_swa = attn_ctx->get_swa()->build_input_v_idxs(ctx0, ubatch);
 
-        inp_attn->self_kq_mask_swa = build_kq_mask(ctx0, attn_ctx->get_swa(), ubatch, cparams);
-        ggml_set_input(inp_attn->self_kq_mask_swa);
-
+        inp_attn->self_kq_mask_swa = build_attn_inp_kq_mask(ctx0, attn_ctx->get_swa(), ubatch, cparams);
         inp_attn->self_kq_mask_swa_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp_attn->self_kq_mask_swa, GGML_TYPE_F16) : inp_attn->self_kq_mask_swa;
     }
 
diff --git a/src/llama-graph.h b/src/llama-graph.h
index 4855685ef7144a3c1f82cc84ca34932fe3d8ed71..5cb1756c6a977e5c05150ff98b6dcc82ac553411 100644
--- a/src/llama-graph.h
+++ b/src/llama-graph.h
@@ -17,6 +17,7 @@ struct ggml_context;
 struct ggml_tensor;
 
 struct llama_cparams;
+struct llama_layer;
 
 struct llama_memory_context_i;
 
@@ -308,6 +309,10 @@ public:
     ggml_tensor * self_kq_mask     = nullptr; // F32 [n_kv, n_batch/n_stream, 1, n_stream]
     ggml_tensor * self_kq_mask_cnv = nullptr; //     [n_kv, n_batch/n_stream, 1, n_stream]
 
+    // note: assumes v_rot^2 == I
+    ggml_tensor * self_k_rot = nullptr;
+    ggml_tensor * self_v_rot = nullptr;
+
     // note: these have to be copies because in order to be able to reuse a graph, its inputs
     //       need to carry these parameters with them. otherwise, they can point to freed
     //       llm_graph_params from a previous batch, causing stack-use-after-return
@@ -384,6 +389,12 @@ public:
     ggml_tensor * self_kq_mask_swa     = nullptr; // F32 [n_kv, n_batch/n_stream, 1, n_stream]
     ggml_tensor * self_kq_mask_swa_cnv = nullptr; //     [n_kv, n_batch/n_stream, 1, n_stream]
 
+    ggml_tensor * self_k_rot = nullptr;
+    ggml_tensor * self_v_rot = nullptr;
+
+    ggml_tensor * self_k_rot_swa = nullptr;
+    ggml_tensor * self_v_rot_swa = nullptr;
+
     const llama_hparams hparams;
     const llama_cparams cparams;
 
@@ -697,6 +708,12 @@ using llm_graph_result_ptr = std::unique_ptr<llm_graph_result>;
 // used in build_rs to properly order writes and avoid unnecessary copies
 using llm_graph_get_rows_fn = std::function<ggml_tensor * (ggml_context *, ggml_tensor * states, ggml_tensor * ids)>;
 
+struct llm_graph_qkv {
+    ggml_tensor * q; // [n_embd_head, n_head,    n_tokens]
+    ggml_tensor * k; // [n_embd_head, n_head_kv, n_tokens]
+    ggml_tensor * v; // [n_embd_head, n_head_kv, n_tokens]
+};
+
 struct llm_graph_context {
     const llm_arch arch;
 
@@ -783,6 +800,17 @@ struct llm_graph_context {
            llm_norm_type   type,
                      int   il) const;
 
+
+    // compute Q, K, V projections with optional bias and reshape
+    // supports both fused wqkv and separate wq/wk/wv paths
+    llm_graph_qkv build_qkv(
+        const llama_layer & layer,
+              ggml_tensor * cur,
+                  int64_t   n_embd_head,
+                  int64_t   n_head,
+                  int64_t   n_head_kv,
+                      int   il) const;
+
     ggml_tensor * build_ffn(
              ggml_tensor * cur,
              ggml_tensor * up,
@@ -882,6 +910,7 @@ struct llm_graph_context {
             llm_graph_input_attn_no_cache * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
@@ -897,6 +926,7 @@ struct llm_graph_context {
             llm_graph_input_attn_kv * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
@@ -912,6 +942,7 @@ struct llm_graph_context {
             llm_graph_input_attn_k * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
@@ -928,6 +959,7 @@ struct llm_graph_context {
             llm_graph_input_attn_kv_iswa * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens] optional
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens] optional
@@ -943,6 +975,7 @@ struct llm_graph_context {
             llm_graph_input_attn_cross * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
diff --git a/src/llama-hparams.h b/src/llama-hparams.h
index 78c0bc27d4d98a29b8917c17cf9701dccdc0ed21..c2000c77c37a2bde9d4bc1f67cb41ea559e8aeb7 100644
--- a/src/llama-hparams.h
+++ b/src/llama-hparams.h
@@ -209,6 +209,9 @@ struct llama_hparams {
     // qwen3vl deepstack
     uint32_t n_deepstack_layers = 0;
 
+    // gemma4 per-layer embedding
+    uint32_t n_embd_per_layer = 0;
+
     // needed by encoder-decoder models (e.g. T5, FLAN-T5)
     // ref: https://github.com/ggml-org/llama.cpp/pull/8141
     llama_token dec_start_token_id = LLAMA_TOKEN_NULL;
diff --git a/src/llama-impl.cpp b/src/llama-impl.cpp
index 4c0188ee7226014883d176a354a912589c5b6ce5..b3a94b946d2866940763901a8b2cc014827799e7 100644
--- a/src/llama-impl.cpp
+++ b/src/llama-impl.cpp
@@ -128,7 +128,7 @@ static std::string gguf_data_to_str(enum gguf_type type, const void * data, int
         case GGUF_TYPE_INT64:   return std::to_string(((const int64_t  *)data)[i]);
         case GGUF_TYPE_FLOAT32: return std::to_string(((const float    *)data)[i]);
         case GGUF_TYPE_FLOAT64: return std::to_string(((const double   *)data)[i]);
-        case GGUF_TYPE_BOOL:    return ((const bool *)data)[i] ? "true" : "false";
+        case GGUF_TYPE_BOOL:    return ((const int8_t *)data)[i] != 0 ? "true" : "false";
         default:                return format("unknown type %d", type);
     }
 }
diff --git a/src/llama-kv-cache.cpp b/src/llama-kv-cache.cpp
index 01166fac9ce19484b9631dfeddc76a77d83dd0c4..09102f549c8e290650a618037929a26264a9505f 100644
--- a/src/llama-kv-cache.cpp
+++ b/src/llama-kv-cache.cpp
@@ -13,6 +13,65 @@
 #include <map>
 #include <stdexcept>
 
+static bool ggml_is_power_of_2(int n) {
+    return (n & (n - 1)) == 0;
+}
+
+// orthonormal Walsh-Hadamard rotation matrix
+// note: res^2 == I
+static void ggml_gen_hadamard(ggml_tensor * tensor) {
+    assert(tensor->type == GGML_TYPE_F32);
+
+    const int n = tensor->ne[0];
+
+    assert(ggml_is_power_of_2(n));
+    assert(tensor->ne[1] == n);
+    assert(tensor->ne[2] == 1);
+    assert(tensor->ne[3] == 1);
+
+    std::vector<float> data_f32;
+
+    float * data = (float *) tensor->data;
+
+    if (tensor->type != GGML_TYPE_F32) {
+        data_f32.resize(n*n);
+        data = data_f32.data();
+    }
+
+    data[0*n + 0] = 1.0 / sqrtf(n);
+
+    for (int s = 1; s < n; s *= 2) {
+        for (int i = 0; i < s; i++) {
+            for (int j = 0; j < s; j++) {
+                const float val = data[i*n + j];
+
+                data[(i + s)*n + (j    )] =  val;
+                data[(i    )*n + (j + s)] =  val;
+                data[(i + s)*n + (j + s)] = -val;
+            }
+        }
+    }
+
+    if (tensor->type != GGML_TYPE_F32) {
+        ggml_quantize_chunk(tensor->type, data, tensor->data, 0, 1, n*n, nullptr);
+    }
+}
+
+static ggml_tensor * ggml_mul_mat_aux(
+        ggml_context * ctx,
+        ggml_tensor * cur,
+        ggml_tensor * rot) {
+    const auto n = rot->ne[0];
+
+    ggml_tensor * res;
+
+    res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n);
+    res = ggml_mul_mat   (ctx, rot, res);
+    res = ggml_reshape_4d(ctx, res, cur->ne[0], cur->ne[1], cur->ne[2], cur->ne[3]);
+
+    return res;
+}
+
 //
 // llama_kv_cache
 //
@@ -110,6 +169,18 @@ llama_kv_cache::llama_kv_cache(
             continue;
         }
 
+        if (n_embd_head_k_all == 0) {
+            n_embd_head_k_all = (int32_t) hparams.n_embd_head_k(il);
+        } else if (n_embd_head_k_all > 0 && n_embd_head_k_all != (int32_t) hparams.n_embd_head_k(il)) {
+            n_embd_head_k_all = -1;
+        }
+
+        if (n_embd_head_v_all == 0) {
+            n_embd_head_v_all = (int32_t) hparams.n_embd_head_v(il);
+        } else if (n_embd_head_v_all > 0 && n_embd_head_v_all != (int32_t) hparams.n_embd_head_v(il)) {
+            n_embd_head_v_all = -1;
+        }
+
         // [TAG_V_CACHE_VARIABLE]
         const uint32_t n_embd_k_gqa =            hparams.n_embd_k_gqa(il);
         const uint32_t n_embd_v_gqa = !v_trans ? hparams.n_embd_v_gqa(il) : hparams.n_embd_v_gqa_max();
@@ -209,6 +280,48 @@ llama_kv_cache::llama_kv_cache(
                 ggml_type_name(type_v), (float)memory_size_v / (1024.0f * 1024.0f));
     }
 
+    const char * LLAMA_ATTN_ROT_DISABLE = getenv("LLAMA_ATTN_ROT_DISABLE");
+    const bool attn_rot_disable = LLAMA_ATTN_ROT_DISABLE ? atoi(LLAMA_ATTN_ROT_DISABLE) : false;
+    if (attn_rot_disable) {
+        LLAMA_LOG_WARN("%s: attention rotation force disabled (LLAMA_ATTN_ROT_DISABLE)\n", __func__);
+    }
+
+    attn_rot_k =
+        !attn_rot_disable &&
+        n_embd_head_k_all > 0 &&
+        ggml_is_quantized(type_k) &&
+        hparams.n_embd_head_k() % 64 == 0;
+
+    attn_rot_v =
+        !attn_rot_disable &&
+        n_embd_head_v_all > 0 &&
+        ggml_is_quantized(type_v) &&
+        hparams.n_embd_head_v() % 64 == 0;
+
+    LLAMA_LOG_INFO("%s: attn_rot_k = %d, n_embd_head_k_all = %d\n", __func__, attn_rot_k, n_embd_head_k_all);
+    LLAMA_LOG_INFO("%s: attn_rot_v = %d, n_embd_head_k_all = %d\n", __func__, attn_rot_v, n_embd_head_v_all);
+
+    // pre-compute the haramard matrices and keep them in host memory
+    // TODO: in the future, we can make copies in the backend buffers to avoid host -> device transfers
+    if (attn_rot_k || attn_rot_v) {
+        for (int64_t n = 64; n <= std::max(n_embd_head_k_all, n_embd_head_v_all); n *= 2) {
+            attn_rot_hadamard[n] = std::vector<float>(n*n);
+
+            ggml_init_params params = {
+                /* .mem_size   = */ 1*ggml_tensor_overhead(),
+                /* .mem_buffer = */ nullptr,
+                /* .no_alloc   = */ true,
+            };
+
+            ggml_context_ptr ctx { ggml_init(params) };
+
+            ggml_tensor * tmp = ggml_new_tensor_2d(ctx.get(), GGML_TYPE_F32, n, n);
+            tmp->data = attn_rot_hadamard[n].data();
+
+            ggml_gen_hadamard(tmp);
+        }
+    }
+
     const char * LLAMA_KV_CACHE_DEBUG = getenv("LLAMA_KV_CACHE_DEBUG");
     debug = LLAMA_KV_CACHE_DEBUG ? atoi(LLAMA_KV_CACHE_DEBUG) : 0;
 }
@@ -1004,6 +1117,14 @@ bool llama_kv_cache::get_has_shift() const {
     return result;
 }
 
+ggml_type llama_kv_cache::type_k() const {
+    return layers[0].k->type;
+}
+
+ggml_type llama_kv_cache::type_v() const {
+    return layers[0].v->type;
+}
+
 uint32_t llama_kv_cache::get_n_kv(const slot_info & sinfo) const {
     uint32_t result = 0;
 
@@ -1189,6 +1310,47 @@ ggml_tensor * llama_kv_cache::build_input_v_idxs(ggml_context * ctx, const llama
     return v_idxs;
 }
 
+ggml_tensor * llama_kv_cache::build_input_k_rot(ggml_context * ctx) const {
+    ggml_tensor * res = nullptr;
+
+    if (attn_rot_k) {
+        int nrot = 64;
+
+        // TODO: investigate if using the smallest rotation matrix is beneficial also for K (similar as for V)
+        // ref: https://github.com/ggml-org/llama.cpp/pull/21038#issuecomment-4141323088
+        do {
+            nrot *= 2;
+        } while (n_embd_head_k_all % nrot == 0);
+        nrot /= 2;
+
+        res = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, nrot, nrot);
+        ggml_set_input(res);
+        ggml_set_name(res, "attn_inp_k_rot");
+    }
+
+    return res;
+}
+
+ggml_tensor * llama_kv_cache::build_input_v_rot(ggml_context * ctx) const {
+    ggml_tensor * res = nullptr;
+
+    if (attn_rot_v) {
+        int nrot = 64;
+        // using smaller rotation matrices for V seems beneficial
+        // ref: https://github.com/ggml-org/llama.cpp/pull/21038#issuecomment-4146397570
+        //do {
+        //    nrot *= 2;
+        //} while (hparams.n_embd_head_v() % nrot == 0);
+        //nrot /= 2;
+
+        res = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, nrot, nrot);
+        ggml_set_input(res);
+        ggml_set_name(res, "attn_inp_v_rot");
+    }
+
+    return res;
+}
+
 void llama_kv_cache::set_input_k_idxs(ggml_tensor * dst, const llama_ubatch * ubatch, const slot_info & sinfo) const {
     const uint32_t n_tokens = ubatch->n_tokens;
     GGML_ASSERT(n_tokens == (int64_t) sinfo.size()*sinfo.n_stream());
@@ -1507,6 +1669,24 @@ void llama_kv_cache::set_input_pos_bucket(ggml_tensor * dst, const llama_ubatch
     }
 }
 
+void llama_kv_cache::set_input_k_rot(ggml_tensor * dst) const {
+    GGML_ASSERT(ggml_backend_buffer_is_host(dst->buffer));
+
+    const auto n_rot = dst->ne[0];
+    GGML_ASSERT(attn_rot_hadamard.count(dst->ne[0]));
+
+    memcpy(dst->data, attn_rot_hadamard.at(n_rot).data(), ggml_nbytes(dst));
+}
+
+void llama_kv_cache::set_input_v_rot(ggml_tensor * dst) const {
+    GGML_ASSERT(ggml_backend_buffer_is_host(dst->buffer));
+
+    const auto n_rot = dst->ne[0];
+    GGML_ASSERT(attn_rot_hadamard.count(dst->ne[0]));
+
+    memcpy(dst->data, attn_rot_hadamard.at(n_rot).data(), ggml_nbytes(dst));
+}
+
 size_t llama_kv_cache::total_size() const {
     size_t size = 0;
 
@@ -1542,6 +1722,7 @@ ggml_tensor * llama_kv_cache::build_rope_shift(
                ggml_context * ctx,
                 ggml_tensor * cur,
                 ggml_tensor * shift,
+                ggml_tensor * rot,
                 ggml_tensor * factors,
                       float   freq_base,
                       float   freq_scale,
@@ -1561,17 +1742,22 @@ ggml_tensor * llama_kv_cache::build_rope_shift(
                                 // ref: https://github.com/ggml-org/llama.cpp/pull/13870
                                 ? LLAMA_ROPE_TYPE_NEOX
                                 : hparams.rope_type;
-
     ggml_tensor * tmp;
 
     if (ggml_is_quantized(cur->type)) {
         // dequantize to f32 -> RoPE -> quantize back
         tmp = ggml_cast(ctx, cur, GGML_TYPE_F32);
 
+        // rotate back
+        tmp = ggml_mul_mat_aux(ctx, tmp, rot);
+
         tmp = ggml_rope_ext(ctx, tmp,
                 shift, factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                 yarn_ext_factor, yarn_attn_factor, yarn_beta_fast, yarn_beta_slow);
 
+        // rotate fwd
+        tmp = ggml_mul_mat_aux(ctx, tmp, rot);
+
         tmp = ggml_cpy(ctx, tmp, cur);
     } else {
         // we rotate only the first n_rot dimensions
@@ -1592,6 +1778,9 @@ public:
 
     ggml_tensor * k_shift; // I32 [kv_size*n_stream]
 
+    // note: assumes k_rot^2 == I
+    ggml_tensor * k_rot = nullptr;
+
     const llama_kv_cache * kv_self;
 };
 
@@ -1601,6 +1790,10 @@ void llm_graph_input_k_shift::set_input(const llama_ubatch * ubatch) {
     if (k_shift) {
         kv_self->set_input_k_shift(k_shift);
     }
+
+    if (k_rot) {
+        kv_self->set_input_k_rot(k_rot);
+    }
 }
 
 ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_context * lctx) const {
@@ -1612,6 +1805,8 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co
     inp->k_shift = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, (int64_t) get_size()*n_stream);
     ggml_set_input(inp->k_shift);
 
+    inp->k_rot = build_input_k_rot(ctx);
+
     const auto & cparams = lctx->get_cparams();
 
     for (const auto & layer : layers) {
@@ -1636,7 +1831,7 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co
                 ggml_row_size(layer.k->type, n_embd_k_gqa),
                 ggml_row_size(layer.k->type, n_embd_nope));
 
-        ggml_tensor * cur = build_rope_shift(cparams, ctx, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l, il);
+        ggml_tensor * cur = build_rope_shift(cparams, ctx, k, inp->k_shift, inp->k_rot, rope_factors, freq_base_l, freq_scale_l, il);
 
         ggml_build_forward_expand(gf, cur);
     }
@@ -2240,6 +2435,14 @@ uint32_t llama_kv_cache_context::get_n_kv() const {
     return n_kv;
 }
 
+ggml_type llama_kv_cache_context::type_k() const {
+    return kv->type_k();
+}
+
+ggml_type llama_kv_cache_context::type_v() const {
+    return kv->type_v();
+}
+
 ggml_tensor * llama_kv_cache_context::get_k(ggml_context * ctx, int32_t il) const {
     return kv->get_k(ctx, il, n_kv, sinfos[i_cur]);
 }
@@ -2264,6 +2467,14 @@ ggml_tensor * llama_kv_cache_context::build_input_v_idxs(ggml_context * ctx, con
     return kv->build_input_v_idxs(ctx, ubatch);
 }
 
+ggml_tensor * llama_kv_cache_context::build_input_k_rot(ggml_context * ctx) const {
+    return kv->build_input_k_rot(ctx);
+}
+
+ggml_tensor * llama_kv_cache_context::build_input_v_rot(ggml_context * ctx) const {
+    return kv->build_input_v_rot(ctx);
+}
+
 void llama_kv_cache_context::set_input_k_shift(ggml_tensor * dst) const {
     kv->set_input_k_shift(dst);
 }
@@ -2283,3 +2494,11 @@ void llama_kv_cache_context::set_input_kq_mask(ggml_tensor * dst, const llama_ub
 void llama_kv_cache_context::set_input_pos_bucket(ggml_tensor * dst, const llama_ubatch * ubatch) const {
     kv->set_input_pos_bucket(dst, ubatch);
 }
+
+void llama_kv_cache_context::set_input_k_rot(ggml_tensor * dst) const {
+    kv->set_input_k_rot(dst);
+}
+
+void llama_kv_cache_context::set_input_v_rot(ggml_tensor * dst) const {
+    kv->set_input_v_rot(dst);
+}
diff --git a/src/llama-kv-cache.h b/src/llama-kv-cache.h
index 33c78c5f2107ec7f48b213240a706e589dab8f8d..0b62dc7b232019ba47f2ea33e681d77207f2ca7a 100644
--- a/src/llama-kv-cache.h
+++ b/src/llama-kv-cache.h
@@ -152,6 +152,9 @@ public:
 
     bool get_has_shift() const;
 
+    ggml_type type_k() const;
+    ggml_type type_v() const;
+
     //
     // graph_build API
     //
@@ -191,6 +194,9 @@ public:
     ggml_tensor * build_input_k_idxs(ggml_context * ctx, const llama_ubatch & ubatch) const;
     ggml_tensor * build_input_v_idxs(ggml_context * ctx, const llama_ubatch & ubatch) const;
 
+    ggml_tensor * build_input_k_rot(ggml_context * ctx) const;
+    ggml_tensor * build_input_v_rot(ggml_context * ctx) const;
+
     void set_input_k_idxs(ggml_tensor * dst, const llama_ubatch * ubatch, const slot_info & sinfo) const;
     void set_input_v_idxs(ggml_tensor * dst, const llama_ubatch * ubatch, const slot_info & sinfo) const;
 
@@ -199,6 +205,9 @@ public:
     void set_input_kq_mask   (ggml_tensor * dst, const llama_ubatch * ubatch, bool causal_attn) const;
     void set_input_pos_bucket(ggml_tensor * dst, const llama_ubatch * ubatch) const;
 
+    void set_input_k_rot(ggml_tensor * dst) const;
+    void set_input_v_rot(ggml_tensor * dst) const;
+
 private:
     const llama_model & model;
     const llama_hparams & hparams;
@@ -226,6 +235,18 @@ private:
     // SWA
     const uint32_t n_swa = 0;
 
+    // env: LLAMA_ATTN_ROT_DISABLE
+    bool attn_rot_k = false;
+    bool attn_rot_v = false;
+
+    // if all layers participating in the cache have constant head size, the value is stored here
+    // otherwise the value is -1
+    int32_t n_embd_head_k_all = 0;
+    int32_t n_embd_head_v_all = 0;
+
+    // pre-computed hadamard martrices
+    std::unordered_map<int64_t, std::vector<float>> attn_rot_hadamard;
+
     // env: LLAMA_KV_CACHE_DEBUG
     int debug = 0;
 
@@ -262,6 +283,7 @@ private:
                    ggml_context * ctx,
                     ggml_tensor * cur,
                     ggml_tensor * shift,
+                    ggml_tensor * rot,
                     ggml_tensor * factors,
                           float   freq_base,
                           float   freq_scale,
@@ -328,12 +350,15 @@ public:
 
     uint32_t get_n_kv() const;
 
+    ggml_type type_k() const;
+    ggml_type type_v() const;
+
     // get views of the current state of the cache
     ggml_tensor * get_k(ggml_context * ctx, int32_t il) const;
     ggml_tensor * get_v(ggml_context * ctx, int32_t il) const;
 
     // store k_cur and v_cur in the cache based on the provided head location
-    // note: the heads in k_cur and v_cur should be layed out contiguously in memory
+    // note: the heads in k_cur and v_cur should be laid out contiguously in memory
     //   - k_cur  [n_embd_head_k, n_head_k, n_tokens]
     //   - k_idxs [n_tokens]
     //   - v_cur  [n_embd_head_v, n_head_v, n_tokens]
@@ -347,6 +372,9 @@ public:
     ggml_tensor * build_input_k_idxs(ggml_context * ctx, const llama_ubatch & ubatch) const;
     ggml_tensor * build_input_v_idxs(ggml_context * ctx, const llama_ubatch & ubatch) const;
 
+    ggml_tensor * build_input_k_rot(ggml_context * ctx) const;
+    ggml_tensor * build_input_v_rot(ggml_context * ctx) const;
+
     void set_input_k_idxs(ggml_tensor * dst, const llama_ubatch * ubatch) const;
     void set_input_v_idxs(ggml_tensor * dst, const llama_ubatch * ubatch) const;
 
@@ -354,6 +382,9 @@ public:
     void set_input_kq_mask   (ggml_tensor * dst, const llama_ubatch * ubatch, bool causal_attn) const;
     void set_input_pos_bucket(ggml_tensor * dst, const llama_ubatch * ubatch) const;
 
+    void set_input_k_rot(ggml_tensor * dst) const;
+    void set_input_v_rot(ggml_tensor * dst) const;
+
 private:
     llama_memory_status status;
 
diff --git a/src/llama-memory-hybrid-iswa.cpp b/src/llama-memory-hybrid-iswa.cpp
index 411769672afb0d6417db7c182e6cc8e29d659dbd..10e6b45979729951e3ad7f578dc51ca9b1100553 100644
--- a/src/llama-memory-hybrid-iswa.cpp
+++ b/src/llama-memory-hybrid-iswa.cpp
@@ -73,9 +73,9 @@ llama_memory_context_ptr llama_memory_hybrid_iswa::init_batch(llama_batch_allocr
                 // if all tokens are output, split by sequence
                 ubatch = balloc.split_seq(n_ubatch);
             } else {
-                // TODO: non-sequential equal split can be done if using unified KV cache
-                //       for simplicity, we always use sequential equal split for now
-                ubatch = balloc.split_equal(n_ubatch, true);
+                // Use non-sequential split when KV cache is unified (needed for hellaswag/winogrande/multiple-choice)
+                const bool unified = (mem_attn->get_base()->get_n_stream() == 1);
+                ubatch = balloc.split_equal(n_ubatch, !unified);
             }
 
             if (ubatch.n_tokens == 0) {
diff --git a/src/llama-memory-hybrid.cpp b/src/llama-memory-hybrid.cpp
index a1b45e4a3cce39ff808068926a087417d7604d7d..4ce1af592c15dfdce1c4a2ddadd707781474ef9c 100644
--- a/src/llama-memory-hybrid.cpp
+++ b/src/llama-memory-hybrid.cpp
@@ -73,9 +73,9 @@ llama_memory_context_ptr llama_memory_hybrid::init_batch(llama_batch_allocr & ba
                 // if all tokens are output, split by sequence
                 ubatch = balloc.split_seq(n_ubatch);
             } else {
-                // TODO: non-sequential equal split can be done if using unified KV cache
-                //       for simplicity, we always use sequential equal split for now
-                ubatch = balloc.split_equal(n_ubatch, true);
+                // Use non-sequential split when KV cache is unified (needed for hellaswag/winogrande/multiple-choice)
+                const bool unified = (mem_attn->get_n_stream() == 1);
+                ubatch = balloc.split_equal(n_ubatch, !unified);
             }
 
             if (ubatch.n_tokens == 0) {
diff --git a/src/llama-memory-recurrent.cpp b/src/llama-memory-recurrent.cpp
index 6e8413f493d072a0447a90904fe617b1b1d6e397..9287fe45e963b018e46924ee2d8c6c2d114d4b72 100644
--- a/src/llama-memory-recurrent.cpp
+++ b/src/llama-memory-recurrent.cpp
@@ -1,5 +1,6 @@
 #include "llama-memory-recurrent.h"
 
+#include "ggml-backend.h"
 #include "llama-impl.h"
 #include "llama-io.h"
 #include "llama-batch.h"
@@ -91,8 +92,8 @@ llama_memory_recurrent::llama_memory_recurrent(
             throw std::runtime_error("failed to create ggml context for rs cache");
         }
 
-        ggml_tensor * r = ggml_new_tensor_1d(ctx, type_r, hparams.n_embd_r()*mem_size);
-        ggml_tensor * s = ggml_new_tensor_1d(ctx, type_s, hparams.n_embd_s()*mem_size);
+        ggml_tensor * r = ggml_new_tensor_2d(ctx, type_r, hparams.n_embd_r(), mem_size);
+        ggml_tensor * s = ggml_new_tensor_2d(ctx, type_s, hparams.n_embd_s(), mem_size);
         ggml_format_name(r, "cache_r_l%d", i);
         ggml_format_name(s, "cache_s_l%d", i);
         r_l[i] = r;
@@ -928,11 +929,8 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell
                 llama_seq_id seq_id;
                 io.read_to(&seq_id, sizeof(seq_id));
 
-                // TODO: llama_memory_recurrent should have a notion of max sequences
-                //if (seq_id < 0 || (uint32_t) seq_id >= llama_n_seq_max(ctx)) {
-                if (seq_id < 0) {
-                    //LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, llama_n_seq_max(ctx));
-                    LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, inf)\n", __func__, seq_id);
+                if (seq_id < 0 || (uint32_t) seq_id >= this->n_seq_max) {
+                    LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, this->n_seq_max);
                     return false;
                 }
 
diff --git a/src/llama-mmap.cpp b/src/llama-mmap.cpp
index c03228e9ce22dd380c86fb996a2dc9d706c0c545..ccc29c1302ee7e9063cd4f4b1019943b12c451b9 100644
--- a/src/llama-mmap.cpp
+++ b/src/llama-mmap.cpp
@@ -86,6 +86,14 @@ struct llama_file::impl {
         seek(0, SEEK_SET);
     }
 
+    impl(FILE * file) : owns_fp(false) {
+        fp = file;
+        fp_win32 = (HANDLE) _get_osfhandle(_fileno(fp));
+        seek(0, SEEK_END);
+        size = tell();
+        seek(0, SEEK_SET);
+    }
+
     size_t tell() const {
         LARGE_INTEGER li;
         li.QuadPart = 0;
@@ -159,7 +167,7 @@ struct llama_file::impl {
     }
 
     ~impl() {
-        if (fp) {
+        if (fp && owns_fp) {
             std::fclose(fp);
         }
     }
@@ -209,6 +217,13 @@ struct llama_file::impl {
         seek(0, SEEK_SET);
     }
 
+    impl(FILE * file) : fname("(file*)"), owns_fp(false) {
+        fp = file;
+        seek(0, SEEK_END);
+        size = tell();
+        seek(0, SEEK_SET);
+    }
+
     size_t tell() const {
         if (fd == -1) {
             long ret = std::ftell(fp);
@@ -353,7 +368,7 @@ struct llama_file::impl {
     ~impl() {
         if (fd != -1) {
             close(fd);
-        } else {
+        } else if (owns_fp) {
             std::fclose(fp);
         }
     }
@@ -369,10 +384,14 @@ struct llama_file::impl {
 
     FILE * fp{};
     size_t size{};
+    bool owns_fp = true;
 };
 
 llama_file::llama_file(const char * fname, const char * mode, const bool use_direct_io) :
     pimpl(std::make_unique<impl>(fname, mode, use_direct_io)) {}
+
+llama_file::llama_file(FILE * file) : pimpl(std::make_unique<impl>(file)) {}
+
 llama_file::~llama_file() = default;
 
 size_t llama_file::tell() const { return pimpl->tell(); }
diff --git a/src/llama-mmap.h b/src/llama-mmap.h
index 29ce4d246857874b6d05d98ffa5ae0f6614a8ee1..b7d5c61e95ffbaf19c347dadcb062de9664f93a3 100644
--- a/src/llama-mmap.h
+++ b/src/llama-mmap.h
@@ -15,6 +15,7 @@ using llama_mlocks = std::vector<std::unique_ptr<llama_mlock>>;
 
 struct llama_file {
     llama_file(const char * fname, const char * mode, bool use_direct_io = false);
+    llama_file(FILE * file);
     ~llama_file();
 
     size_t tell() const;
diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp
index 413f34c226854801b72154df796778b0f78d9fac..4e65a45a50d89a6277dcedc4d64ff3a138fe7d5d 100644
--- a/src/llama-model-loader.cpp
+++ b/src/llama-model-loader.cpp
@@ -36,6 +36,7 @@ static std::string llama_model_ftype_name(llama_ftype ftype) {
         case LLAMA_FTYPE_ALL_F32:         return "all F32";
         case LLAMA_FTYPE_MOSTLY_F16:      return "F16";
         case LLAMA_FTYPE_MOSTLY_BF16:     return "BF16";
+        case LLAMA_FTYPE_MOSTLY_Q1_0:     return "Q1_0";
         case LLAMA_FTYPE_MOSTLY_Q4_0:     return "Q4_0";
         case LLAMA_FTYPE_MOSTLY_Q4_1:     return "Q4_1";
         case LLAMA_FTYPE_MOSTLY_Q5_0:     return "Q5_0";
@@ -374,8 +375,9 @@ namespace GGUFMeta {
             }
         } else {
             if (arr_info.gt == GGUF_TYPE_BOOL) {
-                std::transform((const bool *)arr_info.data, (const bool *)arr_info.data + arr_info.length, result.begin(), [](bool x) {
-                    return static_cast<T>(x);
+                const int8_t * values = (const int8_t *) arr_info.data;
+                std::transform(values, values + arr_info.length, result.begin(), [](int8_t x) {
+                    return static_cast<T>(x != 0);
                 });
             } else {
                 std::copy((const T*)arr_info.data, (const T *)arr_info.data + arr_info.length, result.begin());
@@ -511,6 +513,7 @@ llama_model_loader::llama_model_loader(
         void * set_tensor_data_ud,
         const std::string & fname,
         std::vector<std::string> & splits,
+        FILE * file,
         bool use_mmap,
         bool use_direct_io,
         bool check_tensors,
@@ -658,6 +661,36 @@ llama_model_loader::llama_model_loader(
 
             LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n",  __func__, n_split - 1);
         }
+    } else if (file != nullptr) {
+        struct ggml_context * ctx = NULL;
+        struct gguf_init_params params = {
+            /*.no_alloc = */ true,
+            /*.ctx      = */ &ctx,
+        };
+
+        metadata_ptr.reset(gguf_init_from_file_ptr(file, params));
+        metadata = metadata_ptr.get();
+        if (metadata == nullptr) {
+            throw std::runtime_error(format("%s: failed to load model from file pointer", __func__));
+        }
+
+        get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false);
+        llm_kv = LLM_KV(llm_arch_from_string(arch_name));
+
+        files.emplace_back(new llama_file(file));
+        contexts.emplace_back(ctx);
+
+        // Save tensors data offset info of the main file.
+        for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
+            std::string tensor_name = std::string(cur->name);
+            // make sure there is no duplicated tensor names
+            if (weights_map.find(tensor_name) != weights_map.end()) {
+                throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
+            }
+            n_elements += ggml_nelements(cur);
+            n_bytes    += ggml_nbytes(cur);
+            weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, metadata, cur));
+        }
     } else {
         get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false);
         llm_kv = LLM_KV(llm_arch_from_string(arch_name));
@@ -669,7 +702,7 @@ llama_model_loader::llama_model_loader(
     fver = (enum llama_fver) gguf_get_version(metadata);
 
     LLAMA_LOG_INFO("%s: loaded meta data with %d key-value pairs and %d tensors from %s (version %s)\n",
-            __func__, n_kv, n_tensors, fname.c_str(), llama_file_version_name(fver));
+            __func__, n_kv, n_tensors, fname.empty() ? "(file*)" : fname.c_str(), llama_file_version_name(fver));
 
     // determine file type based on the number of tensors for each quantization and print meta data
     // TODO: make optional
@@ -726,6 +759,7 @@ llama_model_loader::llama_model_loader(
             case GGML_TYPE_IQ4_XS:  ftype = LLAMA_FTYPE_MOSTLY_IQ4_XS;  break;
             case GGML_TYPE_IQ3_S:   ftype = LLAMA_FTYPE_MOSTLY_IQ3_S;   break;
             case GGML_TYPE_NVFP4:   ftype = LLAMA_FTYPE_MOSTLY_NVFP4;   break;
+            case GGML_TYPE_Q1_0:    ftype = LLAMA_FTYPE_MOSTLY_Q1_0;    break;
             default:
                 {
                     LLAMA_LOG_WARN("%s: unknown type %s\n", __func__, ggml_type_name(type_max));
@@ -1127,6 +1161,12 @@ struct ggml_tensor * llama_model_loader::create_tensor(
                     if (overrides->buft == ggml_backend_cpu_buffer_type()) {
                         // when overriding to a CPU buffer, consider the extra buffer types
                         buft = select_weight_buft(hparams, t_meta, op, buft_list_cpu);
+                        if (use_mmap) {
+                            static std::once_flag once;
+                            std::call_once(once, [] {
+                                LLAMA_LOG_WARN("llama_model_loader: tensor overrides to CPU are used with mmap enabled - consider using --no-mmap for better performance\n");
+                            });
+                        }
                     } else {
                         buft = overrides->buft;
                     }
diff --git a/src/llama-model-loader.h b/src/llama-model-loader.h
index ed5de729caf776a0ad548591c22a28c80ba33105..7b3d6703c03db3e3526c186c5841c127e4e9fe60 100644
--- a/src/llama-model-loader.h
+++ b/src/llama-model-loader.h
@@ -125,6 +125,7 @@ struct llama_model_loader {
         void * set_tensor_data_ud,
         const std::string & fname,
         std::vector<std::string> & splits, // optional, only need if the split does not follow naming scheme
+        FILE * file,
         bool use_mmap,
         bool use_direct_io,
         bool check_tensors,
diff --git a/src/llama-model-saver.cpp b/src/llama-model-saver.cpp
index 6f6538aeccd2c0e649f5584fa5190223548499d5..26864c18e973518c758bb37aa9f006ad9e053108 100644
--- a/src/llama-model-saver.cpp
+++ b/src/llama-model-saver.cpp
@@ -1,7 +1,9 @@
 #include "llama-model-saver.h"
 
+#include "ggml.h"
 #include "gguf.h"
 
+#include "llama-arch.h"
 #include "llama.h"
 #include "llama-hparams.h"
 #include "llama-model.h"
@@ -10,8 +12,33 @@
 #include <cstdint>
 #include <string>
 
+bool llama_model_saver_supports_arch(llm_arch arch) {
+    switch (arch) {
+        case LLM_ARCH_QWEN3NEXT:
+        case LLM_ARCH_QWEN35:
+        case LLM_ARCH_QWEN35MOE:
+        case LLM_ARCH_PLAMO3:
+        case LLM_ARCH_GEMMA3:
+        case LLM_ARCH_GEMMA3N:
+        case LLM_ARCH_COHERE2:
+        case LLM_ARCH_OLMO2:
+        case LLM_ARCH_BITNET:
+        case LLM_ARCH_T5:
+        case LLM_ARCH_EXAONE_MOE:
+        case LLM_ARCH_AFMOE:
+        case LLM_ARCH_APERTUS:
+        case LLM_ARCH_MIMO2:
+        case LLM_ARCH_STEP35:
+            return false;
+        default:
+            return true;
+    }
+}
+
 llama_model_saver::llama_model_saver(const struct llama_model * model) :
-    gguf_ctx(gguf_init_empty()), gguf_ctx_owned(true), model(model), llm_kv(model->arch) {}
+        gguf_ctx(gguf_init_empty()), gguf_ctx_owned(true), model(model), llm_kv(model->arch) {
+    GGML_ASSERT(llama_model_saver_supports_arch(model->arch));
+}
 
 llama_model_saver::llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx) :
         gguf_ctx(gguf_ctx == nullptr ? gguf_init_empty() : gguf_ctx), gguf_ctx_owned(gguf_ctx == nullptr), model(nullptr), llm_kv(arch) {}
@@ -105,7 +132,10 @@ void llama_model_saver::add_tensor(const struct ggml_tensor * tensor) {
         return;
     }
     if (gguf_find_tensor(gguf_ctx, tensor->name) >= 0) {
-        GGML_ASSERT(std::string(tensor->name) == "rope_freqs.weight"); // FIXME
+        const std::string tensor_name = tensor->name;
+        GGML_ASSERT(
+            tensor_name == "rope_freqs.weight" || tensor_name == "rope_factors_long.weight" ||
+            tensor_name == "rope_factors_short.weight"); // FIXME
         return;
     }
     gguf_add_tensor(gguf_ctx, tensor);
@@ -127,6 +157,7 @@ void llama_model_saver::add_kv_from_model() {
             tokens[id] = token_data.text;
             scores[id] = token_data.score;
 
+            // FIXME should this be treated as flags?
             switch(token_data.attr) {
                 case LLAMA_TOKEN_ATTR_UNKNOWN:      token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN;      break;
                 case LLAMA_TOKEN_ATTR_UNUSED:       token_types[id] = LLAMA_TOKEN_TYPE_UNUSED;       break;
@@ -134,6 +165,9 @@ void llama_model_saver::add_kv_from_model() {
                 case LLAMA_TOKEN_ATTR_CONTROL:      token_types[id] = LLAMA_TOKEN_TYPE_CONTROL;      break;
                 case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break;
                 case LLAMA_TOKEN_ATTR_BYTE:         token_types[id] = LLAMA_TOKEN_TYPE_BYTE;         break;
+                // case LLAMA_TOKEN_ATTR_NORMALIZED:   ???
+                // case LLAMA_TOKEN_ATTR_LSTRIP:       ???
+                // case LLAMA_TOKEN_ATTR_RSTRIP:       ???
                 case LLAMA_TOKEN_ATTR_UNDEFINED:
                 default:                            token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED;    break;
             }
@@ -144,6 +178,19 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_GENERAL_ARCHITECTURE,              model->arch_name());
     // add_kv(LLM_KV_GENERAL_QUANTIZATION_VERSION,      ???);
     // add_kv(LLM_KV_GENERAL_ALIGNMENT,                 ???);
+    // add_kv(LLM_KV_GENERAL_FILE_TYPE,                 ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_SEQUENCE,         ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_TOP_K,            ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_TOP_P,            ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_MIN_P,            ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_XTC_PROBABILITY,  ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_XTC_THRESHOLD,    ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_TEMP,             ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_PENALTY_LAST_N,   ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_PENALTY_REPEAT,   ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_MIROSTAT,         ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_MIROSTAT_TAU,     ???);
+    // add_kv(LLM_KV_GENERAL_SAMPLING_MIROSTAT_ETA,     ???);
     add_kv(LLM_KV_GENERAL_NAME,                      model->name);
     // add_kv(LLM_KV_GENERAL_AUTHOR,                    ???);
     // add_kv(LLM_KV_GENERAL_VERSION,                   ???);
@@ -163,17 +210,31 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead);
     add_kv(LLM_KV_FEED_FORWARD_LENGTH,               hparams.n_ff_arr, true);
     add_kv(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-    add_kv(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
+    add_kv(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp);
+    add_kv(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_chexp);
+    add_kv(LLM_KV_SWIGLU_CLAMP_EXP,                  hparams.swiglu_clamp_exp);
+    add_kv(LLM_KV_SWIGLU_CLAMP_SHEXP,                hparams.swiglu_clamp_shexp);
     add_kv(LLM_KV_USE_PARALLEL_RESIDUAL,             hparams.use_par_res);
     // add_kv(LLM_KV_TENSOR_DATA_LAYOUT,                ???);
     add_kv(LLM_KV_EXPERT_COUNT,                      hparams.n_expert);
     add_kv(LLM_KV_EXPERT_USED_COUNT,                 hparams.n_expert_used);
     add_kv(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
+    add_kv(LLM_KV_EXPERT_GROUP_COUNT,                hparams.n_expert_groups);
+    add_kv(LLM_KV_EXPERT_GROUP_USED_COUNT,           hparams.n_group_used);
     add_kv(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale);
+    add_kv(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm);
+    add_kv(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
+    add_kv(LLM_KV_EXPERT_GROUP_SCALE,                hparams.expert_group_scale);
+    add_kv(LLM_KV_EXPERTS_PER_GROUP,                 hparams.n_group_experts);
+    add_kv(LLM_KV_MOE_EVERY_N_LAYERS,                hparams.moe_every_n_layers);
+    add_kv(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers);
+    add_kv(LLM_KV_NUM_DEEPSTACK_LAYERS,              hparams.n_deepstack_layers);
     add_kv(LLM_KV_POOLING_TYPE,                      uint32_t(hparams.pooling_type));
     add_kv(LLM_KV_LOGIT_SCALE,                       hparams.f_logit_scale);
     add_kv(LLM_KV_DECODER_START_TOKEN_ID,            hparams.dec_start_token_id);
+    add_kv(LLM_KV_DECODER_BLOCK_COUNT,               hparams.dec_n_layer);
     add_kv(LLM_KV_ATTN_LOGIT_SOFTCAPPING,            hparams.f_attn_logit_softcapping);
+    add_kv(LLM_KV_ROUTER_LOGIT_SOFTCAPPING,          hparams.f_router_logit_softcapping);
     add_kv(LLM_KV_FINAL_LOGIT_SOFTCAPPING,           hparams.f_final_logit_softcapping);
     add_kv(LLM_KV_SWIN_NORM,                         hparams.swin_norm);
     add_kv(LLM_KV_RESCALE_EVERY_N_LAYERS,            hparams.rescale_every_n_layers);
@@ -181,6 +242,9 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_TIME_DECAY_EXTRA_DIM,              hparams.time_decay_extra_dim);
     add_kv(LLM_KV_RESIDUAL_SCALE,                    hparams.f_residual_scale);
     add_kv(LLM_KV_EMBEDDING_SCALE,                   hparams.f_embedding_scale);
+    add_kv(LLM_KV_TOKEN_SHIFT_COUNT,                 hparams.token_shift_count);
+    add_kv(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,         hparams.n_moe_layer_step);
+    // add_kv(LLM_KV_FULL_ATTENTION_INTERVAL,           ???);
 
     add_kv(LLM_KV_ATTENTION_HEAD_COUNT,              hparams.n_head_arr, true);
     add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV,           hparams.n_head_kv_arr, true);
@@ -188,22 +252,39 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_ATTENTION_CLAMP_KQV,               hparams.f_clamp_kqv);
     add_kv(LLM_KV_ATTENTION_KEY_LENGTH,              hparams.n_embd_head_k_full);
     add_kv(LLM_KV_ATTENTION_VALUE_LENGTH,            hparams.n_embd_head_v_full);
-    add_kv(LLM_KV_ATTENTION_KEY_LENGTH_SWA,          hparams.n_embd_head_k_swa);
-    add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,        hparams.n_embd_head_v_swa);
     add_kv(LLM_KV_ATTENTION_LAYERNORM_EPS,           hparams.f_norm_eps);
     add_kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+    add_kv(LLM_KV_ATTENTION_GROUPNORM_EPS,           hparams.f_norm_group_eps);
+    add_kv(LLM_KV_ATTENTION_GROUPNORM_GROUPS,        hparams.n_norm_groups);
     add_kv(LLM_KV_ATTENTION_CAUSAL,                  hparams.causal_attn);
     add_kv(LLM_KV_ATTENTION_Q_LORA_RANK,             hparams.n_lora_q);
     add_kv(LLM_KV_ATTENTION_KV_LORA_RANK,            hparams.n_lora_kv);
+    add_kv(LLM_KV_ATTENTION_DECAY_LORA_RANK,         hparams.n_lora_decay);
+    add_kv(LLM_KV_ATTENTION_ICLR_LORA_RANK,          hparams.n_lora_iclr);
+    add_kv(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix);
+    add_kv(LLM_KV_ATTENTION_GATE_LORA_RANK,          hparams.n_lora_gate);
     add_kv(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT,  hparams.n_rel_attn_bkts);
     add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW,          hparams.n_swa);
+    // add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN,  ???);
     add_kv(LLM_KV_ATTENTION_SCALE,                   hparams.f_attention_scale);
+    add_kv(LLM_KV_ATTENTION_OUTPUT_SCALE,            hparams.f_attn_out_scale);
+    add_kv(LLM_KV_ATTENTION_TEMPERATURE_LENGTH,      hparams.attn_temp_length);
+    add_kv(LLM_KV_ATTENTION_TEMPERATURE_SCALE,       hparams.f_attn_temp_scale);
+    add_kv(LLM_KV_ATTENTION_KEY_LENGTH_MLA,          hparams.n_embd_head_k_mla_impl);
+    add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_MLA,        hparams.n_embd_head_v_mla_impl);
+    add_kv(LLM_KV_ATTENTION_KEY_LENGTH_SWA,          hparams.n_embd_head_k_swa);
+    add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,        hparams.n_embd_head_v_swa);
+    add_kv(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT,      hparams.indexer_n_head);
+    add_kv(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH,      hparams.indexer_head_size);
+    add_kv(LLM_KV_ATTENTION_INDEXER_TOP_K,           hparams.indexer_top_k);
 
     const float rope_scaling_factor = hparams.rope_freq_scale_train == 1.0f ? 0.0f : 1.0f/hparams.rope_freq_scale_train;
 
     add_kv(LLM_KV_ROPE_DIMENSION_COUNT,              hparams.n_rot_full);
     add_kv(LLM_KV_ROPE_DIMENSION_COUNT_SWA,          hparams.n_rot_swa);
+    add_kv(LLM_KV_ROPE_DIMENSION_SECTIONS,           hparams.rope_sections);
     add_kv(LLM_KV_ROPE_FREQ_BASE,                    hparams.rope_freq_base_train);
+    add_kv(LLM_KV_ROPE_FREQ_BASE_SWA,                hparams.rope_freq_base_train_swa);
     // add_kv(LLM_KV_ROPE_SCALE_LINEAR,                 rope_scaling_factor); // old name
     add_kv(LLM_KV_ROPE_SCALING_TYPE,                 llama_rope_scaling_type_name(hparams.rope_scaling_type_train));
     add_kv(LLM_KV_ROPE_SCALING_FACTOR,               rope_scaling_factor);
@@ -211,6 +292,10 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN,         hparams.n_ctx_orig_yarn);
     add_kv(LLM_KV_ROPE_SCALING_FINETUNED,            hparams.rope_finetuned);
     add_kv(LLM_KV_ROPE_SCALING_YARN_LOG_MUL,         hparams.rope_yarn_log_mul);
+    add_kv(LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR,      hparams.yarn_ext_factor);
+    add_kv(LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR,     hparams.yarn_attn_factor);
+    add_kv(LLM_KV_ROPE_SCALING_YARN_BETA_FAST,       hparams.yarn_beta_fast);
+    add_kv(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW,       hparams.yarn_beta_slow);
 
     // TODO: implement split file support
     // add_kv(LLM_KV_SPLIT_NO,                          ???);
@@ -221,8 +306,11 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_SSM_CONV_KERNEL,                   hparams.ssm_d_conv);
     add_kv(LLM_KV_SSM_STATE_SIZE,                    hparams.ssm_d_state);
     add_kv(LLM_KV_SSM_TIME_STEP_RANK,                hparams.ssm_dt_rank);
+    add_kv(LLM_KV_SSM_GROUP_COUNT,                   hparams.ssm_n_group);
     add_kv(LLM_KV_SSM_DT_B_C_RMS,                    hparams.ssm_dt_b_c_rms);
 
+    add_kv(LLM_KV_KDA_HEAD_DIM,                      hparams.n_embd_head_kda);
+
     add_kv(LLM_KV_WKV_HEAD_SIZE,                     hparams.wkv_head_size);
 
     add_kv(LLM_KV_TOKENIZER_MODEL,                   vocab.get_tokenizer_model());
@@ -260,15 +348,39 @@ void llama_model_saver::add_kv_from_model() {
     // TODO: implement LoRA support
     // add_kv(LLM_KV_ADAPTER_TYPE,                      ???);
     // add_kv(LLM_KV_ADAPTER_LORA_ALPHA,                ???);
+    // add_kv(LLM_KV_ADAPTER_LORA_TASK_NAME,            ???);
+    // add_kv(LLM_KV_ADAPTER_LORA_PROMPT_PREFIX,        ???);
+    // add_kv(LLM_KV_ADAPTER_ALORA_INVOCATION_TOKENS,   ???);
+
+    add_kv(LLM_KV_POSNET_EMBEDDING_LENGTH,           hparams.posnet.n_embd);
+    add_kv(LLM_KV_POSNET_BLOCK_COUNT,                hparams.posnet.n_layer);
+
+    add_kv(LLM_KV_CONVNEXT_EMBEDDING_LENGTH,         hparams.convnext.n_embd);
+    add_kv(LLM_KV_CONVNEXT_BLOCK_COUNT,              hparams.convnext.n_layer);
+
+    add_kv(LLM_KV_CLASSIFIER_OUTPUT_LABELS,          model->classifier_labels);
+
+    add_kv(LLM_KV_SHORTCONV_L_CACHE,                 hparams.n_shortconv_l_cache);
+
+    add_kv(LLM_KV_XIELU_ALPHA_N,                     hparams.xielu_alpha_n);
+    add_kv(LLM_KV_XIELU_ALPHA_P,                     hparams.xielu_alpha_p);
+    add_kv(LLM_KV_XIELU_BETA,                        hparams.xielu_beta);
+    add_kv(LLM_KV_XIELU_EPS,                         hparams.xielu_eps);
 
     // deprecated
     // add_kv(LLM_KV_TOKENIZER_PREFIX_ID,               ???);
     // add_kv(LLM_KV_TOKENIZER_SUFFIX_ID,               ???);
     // add_kv(LLM_KV_TOKENIZER_MIDDLE_ID,               ???);
+
+    add_kv(LLM_KV_DENSE_2_FEAT_IN,                   hparams.dense_2_feat_in);
+    add_kv(LLM_KV_DENSE_2_FEAT_OUT,                  hparams.dense_2_feat_out);
+    add_kv(LLM_KV_DENSE_3_FEAT_IN,                   hparams.dense_3_feat_in);
+    add_kv(LLM_KV_DENSE_3_FEAT_OUT,                  hparams.dense_3_feat_out);
 }
 
 void llama_model_saver::add_tensors_from_model() {
-    if (std::string(model->output->name) != std::string(model->tok_embd->name)) {
+    if (model->output != nullptr &&
+            std::string(model->output->name) != std::string(model->tok_embd->name)) {
         add_tensor(model->tok_embd); // some models use the same tensor for tok_embd and output
     }
     add_tensor(model->type_embd);
@@ -297,3 +409,6 @@ void llama_model_saver::save(const std::string & path_model) {
     gguf_write_to_file(gguf_ctx, path_model.c_str(), false);
 }
 
+void llama_model_saver::save(FILE * file) {
+    gguf_write_to_file_ptr(gguf_ctx, file, false);
+}
diff --git a/src/llama-model-saver.h b/src/llama-model-saver.h
index 2b3541ce6c575b4c4447a75d1afcd0e8183afd62..36a715e2b6bf98ac39b24a2f6e6e93d01b0b9c8a 100644
--- a/src/llama-model-saver.h
+++ b/src/llama-model-saver.h
@@ -6,6 +6,9 @@
 
 #include <vector>
 
+// FIXME temporary function for better error messages
+bool llama_model_saver_supports_arch(llm_arch arch);
+
 struct llama_model_saver {
     struct gguf_context * gguf_ctx = nullptr;
     const bool gguf_ctx_owned;
@@ -37,4 +40,5 @@ struct llama_model_saver {
     void add_tensors_from_model();
 
     void save(const std::string & path_model);
+    void save(FILE * file);
 };
diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index 85db938a7ad417eae39cfdb40c899ff34ef70918..f77b2e9217ff5bafec7360fdb8ec70048c6b7b1a 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -1,6 +1,8 @@
 #include "llama-model.h"
 
-#include "ggml.h"
+#include "llama-arch.h"
+#include "llama-ext.h"
+#include "llama-hparams.h"
 #include "llama-impl.h"
 #include "llama-mmap.h"
 #include "llama-cparams.h"
@@ -12,10 +14,11 @@
 #include "llama-memory-hybrid-iswa.h"
 #include "llama-memory-recurrent.h"
 
-#include "ggml-cpp.h"
-
 #include "models/models.h"
 
+#include "ggml.h"
+#include "ggml-cpp.h"
+
 #include <algorithm>
 #include <cassert>
 #include <cfloat>
@@ -24,9 +27,358 @@
 #include <cmath>
 #include <functional>
 #include <map>
+#include <numeric>
 #include <regex>
 #include <sstream>
 #include <stdexcept>
+#include <string>
+#include <vector>
+
+struct ggml_backend_meta_split_state llama_meta_device_get_split_state(const struct ggml_tensor * tensor, void * userdata) {
+    const llama_meta_device_get_split_state_userdata * ud = (const llama_meta_device_get_split_state_userdata *) userdata;
+    const llama_hparams & hparams = ud->model->hparams;
+    const std::string tensor_name = tensor->name;
+
+    const std::regex pattern_q_weight        ("blk\\.\\d*\\.attn_q.weight");
+    const std::regex pattern_kv_weight       ("blk\\.\\d*\\.attn_(k|v).weight");
+    const std::regex pattern_qkv_weight      ("blk\\.\\d*\\.attn_qkv.weight");
+    const std::regex pattern_q_bias          ("blk\\.\\d*\\.attn_q\\.bias");
+    const std::regex pattern_kv_bias         ("blk\\.\\d*\\.attn_(k|v)\\.bias");
+    const std::regex pattern_qkv_bias        ("blk\\.\\d*\\.attn_qkv.bias");
+    const std::regex pattern_qk_norm         ("blk\\.\\d*\\.attn_(q|k)_norm\\.weight");
+    const std::regex pattern_kv_cache        ("cache_(k|v)_l\\d*");
+    const std::regex pattern_attn_sinks      ("blk\\.\\d*\\.attn_sinks.weight");
+    const std::regex pattern_attn_out_weight ("blk\\.\\d*\\.attn_output.weight");
+    const std::regex pattern_attn_out_bias   ("blk\\.\\d*\\.attn_output.bias");
+    const std::regex pattern_attn_gate_weight("blk\\.\\d*\\.attn_gate.weight");
+
+    const std::regex pattern_ssm_dt          ("blk\\.\\d*\\.ssm_dt.bias");
+    const std::regex pattern_ssm_a           ("blk\\.\\d*\\.ssm_a");
+    const std::regex pattern_ssm_alpha       ("blk\\.\\d*\\.ssm_alpha.weight");
+    const std::regex pattern_ssm_beta        ("blk\\.\\d*\\.ssm_beta.weight");
+    const std::regex pattern_ssm_beta_alpha  ("blk\\.\\d*\\.ssm_ba.weight");
+    const std::regex pattern_r_cache         ("cache_r_l\\d*");
+    const std::regex pattern_s_cache         ("cache_s_l\\d*");
+    const std::regex pattern_ssm_conv1d      ("blk\\.\\d*\\.ssm_conv1d.weight");
+    const std::regex pattern_ssm_out_weight  ("blk\\.\\d*\\.ssm_out.weight");
+
+    const std::regex pattern_ffn_up_gate_weight("blk\\.\\d*\\.ffn_(up|gate)(_exps)?.weight");
+    const std::regex pattern_ffn_up_gate_bias  ("blk\\.\\d*\\.ffn_(up|gate)(_exps)?.bias");
+    const std::regex pattern_ffn_gate_up_weight("blk\\.\\d*\\.ffn_gate_up(_exps)?.weight");
+    const std::regex pattern_ffn_down_weight   ("blk\\.\\d*\\.ffn_down(_exps)?.weight");
+    const std::regex pattern_ffn_down_bias     ("blk\\.\\d*\\.ffn_down.bias");
+    const std::regex pattern_ffn_down_exps_bias("blk\\.\\d*\\.ffn_down_exps.bias");
+
+    const std::regex pattern_output_weight("output\\.weight");
+    const std::regex pattern_output_bias  ("output\\.bias");
+
+    struct tensor_config {
+        ggml_backend_meta_split_axis axis;
+
+        const ggml_tensor * tensor_axis_0;
+
+        uint32_t il;
+        size_t   rotation; // when assigning tensor slices, rotate how the rounding is done for more even allocation
+    };
+
+    auto get_tensor_config_impl = [&](
+                const ggml_backend_meta_split_axis axis, const std::string & suffix = "", const std::string & suffix_fallback = "") -> tensor_config {
+        // the layers in a tensor can be inhomogeneous, if the pattern is cleanly divided by the number of GPUs there can be aliasing effects,
+        //     count only the same type of previous layers to avoid this
+        auto get_il_eff = [&](const size_t il){
+            size_t ret = 0;
+            const bool il_is_recurrent = hparams.is_recurrent(il);
+            const bool il_is_swa       = hparams.is_swa(il);
+            for (size_t il_prev = 0; il_prev < il; il_prev++) {
+                ret += hparams.is_recurrent(il_prev) == il_is_recurrent && hparams.is_swa(il_prev) == il_is_swa;
+            }
+            return ret;
+        };
+
+        uint32_t il;
+        std::string prefix;
+        size_t rotation;
+        if (tensor_name.substr(0, 4) == "blk.") {
+            const size_t length_prefix = tensor_name.find('.', 4);
+            GGML_ASSERT(length_prefix != std::string::npos);
+            prefix = tensor_name.substr(0, length_prefix + 1);
+            il = std::stoull(tensor_name.substr(4, length_prefix));
+            rotation = get_il_eff(il) % ud->n_devices;
+        } else if (tensor_name.substr(0, 6) == "cache_") {
+            const size_t layer_index_start = tensor_name.find("_l", 6);
+            GGML_ASSERT(layer_index_start != std::string::npos);
+            il = std::stoull(tensor_name.substr(layer_index_start + 2));
+            prefix = "blk." + std::to_string(il) + ".";
+            rotation = get_il_eff(il) % ud->n_devices;
+        } else {
+            il = 0;
+            rotation = hparams.n_layer % ud->n_devices;
+        }
+        const ggml_tensor * tensor_axis_0 = suffix.empty() ? tensor : ud->model->get_tensor((prefix + suffix).c_str());
+        if (tensor_axis_0 == nullptr) {
+            GGML_ASSERT(!suffix_fallback.empty());
+            tensor_axis_0 = ud->model->get_tensor((prefix + suffix_fallback).c_str());
+        }
+        GGML_ASSERT(tensor_axis_0 != nullptr);
+        return {axis, tensor_axis_0, il, rotation};
+    };
+
+    auto get_tensor_config = [&]() -> tensor_config {
+        // standard attention
+        if (std::regex_match(tensor_name, pattern_q_weight) || std::regex_match(tensor_name, pattern_kv_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_q_bias) || std::regex_match(tensor_name, pattern_kv_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_qkv_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1);
+        }
+        if ( std::regex_match(tensor_name, pattern_qkv_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+        if (std::regex_match(tensor_name, pattern_qk_norm)) {
+            return get_tensor_config_impl(tensor->ne[1] == 1 ? GGML_BACKEND_SPLIT_AXIS_MIRRORED : GGML_BACKEND_SPLIT_AXIS_1, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_kv_cache) || std::regex_match(tensor_name, pattern_attn_sinks)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_attn_out_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+        if (std::regex_match(tensor_name, pattern_attn_out_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        }
+
+        if (std::regex_match(tensor_name, pattern_attn_gate_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1);
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_dt) || std::regex_match(tensor_name, pattern_ssm_a)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_alpha) || std::regex_match(tensor_name, pattern_ssm_beta) ||
+                std::regex_match(tensor_name, pattern_ssm_beta_alpha)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_r_cache) || std::regex_match(tensor_name, pattern_s_cache)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_conv1d)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_out_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+
+        // FFN
+        if (std::regex_match(tensor_name, pattern_ffn_up_gate_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_up_gate_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_gate_up_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_down_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_down_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_down_exps_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_PARTIAL);
+        }
+
+        // output
+        if (std::regex_match(tensor_name, pattern_output_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1);
+        }
+        if (std::regex_match(tensor_name, pattern_output_bias)) {
+            const ggml_tensor * output_weight = ud->model->get_tensor("output.weight");
+            GGML_ASSERT(output_weight != nullptr);
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+
+        // everything else
+        return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+    };
+
+    auto get_split_segments = [&](int axis, uint32_t il) -> std::vector<int64_t> {
+        if (ud->model->arch == LLM_ARCH_QWEN3NEXT || ud->model->arch == LLM_ARCH_QWEN35 || ud->model->arch == LLM_ARCH_QWEN35MOE) {
+            const int64_t head_k_dim = hparams.ssm_d_state;
+            const int64_t head_v_dim = hparams.ssm_d_state;
+            const int64_t n_k_heads  = hparams.ssm_n_group;
+            const int64_t n_v_heads  = hparams.ssm_dt_rank;
+            const int64_t key_dim    = head_k_dim * n_k_heads;
+            const int64_t value_dim  = head_v_dim * n_v_heads;
+
+            // both Qwen 3 Next and Qwen 3.5 support n_v_heads > n_k_heads but the broadcasting pattern is different:
+            //   - Qwen 3 Next: [k0_v0, k0_v1, k1_v2, k1_v3] (this is the default split pattern)
+            //   - Qwen 3.5:    [k0_v0, k1_v1, k0_v2, k1_v3] (needs segmenting of V on the scale of K to get the correct pattern)
+            if (ud->model->arch == LLM_ARCH_QWEN3NEXT) {
+                if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_ssm_conv1d)) {
+                    GGML_ASSERT(tensor->ne[axis] == 2*key_dim + value_dim);
+                    return {key_dim, key_dim, value_dim};
+                }
+            } else {
+                const int64_t head_ratio = n_v_heads / n_k_heads;
+                if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_ssm_conv1d)) {
+                    GGML_ASSERT(tensor->ne[axis] == 2*key_dim + value_dim);
+                    return std::vector<int64_t>(2 + head_ratio, key_dim);
+                }
+                if (std::regex_match(tensor_name, pattern_attn_gate_weight) || std::regex_match(tensor_name, pattern_ssm_out_weight)) {
+                    return std::vector<int64_t>(head_ratio, key_dim);
+                }
+                if (std::regex_match(tensor_name, pattern_ssm_dt) || std::regex_match(tensor_name, pattern_ssm_a) ||
+                        std::regex_match(tensor_name, pattern_ssm_alpha) || std::regex_match(tensor_name, pattern_ssm_beta)) {
+                    return std::vector<int64_t>(head_ratio, n_k_heads);
+                }
+                if (std::regex_match(tensor_name, pattern_r_cache)) {
+                    return std::vector<int64_t>(2 + head_ratio, key_dim * (hparams.ssm_d_conv - 1));
+                }
+                if (std::regex_match(tensor_name, pattern_s_cache)) {
+                    return std::vector<int64_t>(head_ratio, n_k_heads * head_v_dim * head_v_dim);
+                }
+            }
+
+            // the FFN is the same for Qwen 3 Next and Qwen 3.5:
+            if (std::regex_match(tensor_name, pattern_ffn_gate_up_weight)) {
+                const int64_t n_ff_exp = hparams.n_ff_exp;
+                GGML_ASSERT(tensor->ne[axis] == 2*n_ff_exp);
+                return {n_ff_exp, n_ff_exp};
+            }
+            return {tensor->ne[axis]};
+        }
+
+        if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_qkv_bias)) {
+            const int64_t n_embd      = hparams.n_embd;
+            const int64_t n_embd_gqa  = hparams.n_embd_v_gqa(il);
+            GGML_ASSERT(hparams.n_embd_k_gqa() == n_embd_gqa);
+            GGML_ASSERT(tensor->ne[axis] == n_embd + 2*n_embd_gqa);
+            return {n_embd, n_embd_gqa, n_embd_gqa};
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_gate_up_weight)) {
+            const int64_t n_ff_exp = hparams.n_ff_exp;
+            GGML_ASSERT(tensor->ne[axis] == 2*n_ff_exp);
+            return {n_ff_exp, n_ff_exp};
+        }
+        return {tensor->ne[axis]};
+    };
+
+    auto get_split_granularity = [&](int64_t blck_size, uint32_t il, const std::vector<int64_t> & segments) -> std::vector<int64_t> {
+        if (hparams.is_recurrent(il)) {
+            // linear attention
+            const int64_t head_dim  = hparams.ssm_d_state;
+            const int64_t granularity_qkv = std::lcm(blck_size, head_dim);
+            if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_attn_gate_weight) ||
+                    std::regex_match(tensor_name, pattern_ssm_conv1d) || std::regex_match(tensor_name, pattern_ssm_out_weight)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv);
+            }
+            if (std::regex_match(tensor_name, pattern_ssm_dt) || std::regex_match(tensor_name, pattern_ssm_a) ||
+                    std::regex_match(tensor_name, pattern_ssm_alpha) || std::regex_match(tensor_name, pattern_ssm_beta)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv / head_dim);
+            }
+            if (std::regex_match(tensor_name, pattern_ssm_beta_alpha)) {
+                return std::vector<int64_t>(segments.size(), 2 * (granularity_qkv / head_dim));
+            }
+            if (std::regex_match(tensor_name, pattern_r_cache)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv * (hparams.ssm_d_conv - 1));
+            }
+            if (std::regex_match(tensor_name, pattern_s_cache)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv * head_dim);
+            }
+        } else {
+            // regular attention
+            const uint32_t n_gqa    = hparams.n_gqa(il);
+            const uint32_t n_embd_q = n_gqa * hparams.n_embd_head_k(il);
+            if (std::regex_match(tensor_name, pattern_attn_sinks)) {
+                GGML_ASSERT(segments.size() == 1);
+                return {std::lcm(n_embd_q, blck_size)/n_embd_q * n_gqa};
+            }
+
+            const int64_t granularity_q = std::lcm(n_embd_q, blck_size);
+            if (std::regex_match(tensor_name, pattern_q_weight) || std::regex_match(tensor_name, pattern_q_bias)) {
+                GGML_ASSERT(segments.size() == 1);
+                // some models have Q gate tensors, for those cases the granularity needs to be doubled:
+                if (ud->model->arch == LLM_ARCH_QWEN3NEXT || ud->model->arch == LLM_ARCH_QWEN35 || ud->model->arch == LLM_ARCH_QWEN35MOE) {
+                    return {std::lcm(2*n_embd_q, blck_size)};
+                }
+                return {granularity_q};
+            }
+            if (std::regex_match(tensor_name, pattern_attn_out_weight)) {
+                GGML_ASSERT(segments.size() == 1);
+                return {granularity_q};
+            }
+
+            const int64_t granularity_kv = granularity_q / n_gqa;
+            if (std::regex_match(tensor_name, pattern_kv_weight) ||
+                std::regex_match(tensor_name, pattern_kv_bias) ||
+                std::regex_match(tensor_name, pattern_kv_cache)) {
+                GGML_ASSERT(segments.size() == 1);
+                return {granularity_kv};
+            }
+            if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_qkv_bias)) {
+                GGML_ASSERT(segments.size() == 3);
+                return {granularity_q, granularity_kv, granularity_kv};
+            }
+        }
+
+        // FFN
+        if (std::regex_match(tensor_name, pattern_ffn_up_gate_weight) || std::regex_match(tensor_name, pattern_ffn_up_gate_bias) ||
+                std::regex_match(tensor_name, pattern_ffn_gate_up_weight) || std::regex_match(tensor_name, pattern_ffn_down_weight)) {
+            GGML_ASSERT(segments.size() <= 2);
+            return std::vector<int64_t>(segments.size(), blck_size);
+        }
+
+        // everything else
+        GGML_ASSERT(segments.size() == 1);
+        return {1};
+    };
+
+    ggml_backend_meta_split_state split_state;
+    memset(&split_state, 0, sizeof(split_state));
+    tensor_config tc = get_tensor_config();
+    split_state.axis = tc.axis;
+    if (split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS) {
+        const int64_t ne_full = tensor->ne[split_state.axis];
+        const int64_t blck_size = ggml_blck_size(tc.tensor_axis_0->type);
+        const float * tensor_split = ud->model->tensor_split();
+        std::vector<float> tensor_split_scan;
+        tensor_split_scan.reserve(ud->n_devices);
+        for (size_t j = 0; j < ud->n_devices; j++) {
+            tensor_split_scan.push_back(tensor_split == nullptr ? 0.0f : tensor_split[(j + tc.rotation) % ud->n_devices]);
+            if (j > 0) {
+                tensor_split_scan[j] += tensor_split_scan[j - 1];
+            }
+        }
+        const std::vector<int64_t> segments = get_split_segments(split_state.axis, tc.il);
+        const std::vector<int64_t> granularity = get_split_granularity(blck_size, tc.il, segments);
+        for (size_t is = 0; is < segments.size(); is++) {
+            const int64_t ne_s = segments[is];
+            const int64_t g_s = granularity[is];
+            GGML_ASSERT(ne_full % g_s == 0);
+            int64_t low = 0;
+            size_t j = 0;
+            for (; j < ud->n_devices - 1; j++) {
+                int64_t high = tensor_split_scan.back() == 0.0f ?
+                    ne_s * (j+1)/ud->n_devices : ne_s * tensor_split_scan[j]/tensor_split_scan.back();
+                if (high % g_s != 0) {
+                    high -= high % g_s;
+                }
+                split_state.ne[is*ud->n_devices + (j + tc.rotation) % ud->n_devices] = high - low;
+                low = high;
+            }
+            split_state.ne[is*ud->n_devices + (j + tc.rotation) % ud->n_devices] = ne_s - low;
+        }
+        split_state.n_segments = segments.size();
+    } else {
+        memset(split_state.ne, 0, sizeof(split_state.ne));
+        split_state.n_segments = 1;
+    }
+    return split_state;
+    GGML_UNUSED(userdata);
+}
 
 const char * llm_type_name(llm_type type) {
     switch (type) {
@@ -93,6 +445,7 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_26B:           return "26B";
         case LLM_TYPE_27B:           return "27B";
         case LLM_TYPE_30B:           return "30B";
+        case LLM_TYPE_31B:           return "31B";
         case LLM_TYPE_32B:           return "32B";
         case LLM_TYPE_34B:           return "34B";
         case LLM_TYPE_35B:           return "35B";
@@ -127,6 +480,7 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_16B_A1B:       return "16B.A1B";
         case LLM_TYPE_21B_A3B:       return "21B.A3B";
         case LLM_TYPE_24B_A2B:       return "24B.A2B";
+        case LLM_TYPE_26B_A4B:       return "26B.A4B";
         case LLM_TYPE_30B_A3B:       return "30B.A3B";
         case LLM_TYPE_31B_A3_5B:     return "31B.A3.5B";
         case LLM_TYPE_35B_A3B:       return "35B.A3B";
@@ -181,7 +535,7 @@ static llama_rope_scaling_type llama_rope_scaling_type_from_string(const std::st
 }
 
 // CPU: ACCEL -> GPU host -> CPU extra -> CPU
-static buft_list_t make_cpu_buft_list(const std::vector<ggml_backend_dev_t> & devices, bool use_extra_bufts, bool no_host) {
+static buft_list_t make_cpu_buft_list(const std::vector<llama_device> & devices, bool use_extra_bufts, bool no_host) {
     buft_list_t buft_list;
 
     // add ACCEL buffer types
@@ -203,10 +557,10 @@ static buft_list_t make_cpu_buft_list(const std::vector<ggml_backend_dev_t> & de
     // a better approach would be to handle this on a weight-by-weight basis using the offload_op
     // function of the device to determine if it would benefit from being stored in a host buffer
     if (!no_host) {
-        for (auto * dev : devices) {
-            ggml_backend_buffer_type_t buft = ggml_backend_dev_host_buffer_type(dev);
+        for (const auto & dev : devices) {
+            ggml_backend_buffer_type_t buft = ggml_backend_dev_host_buffer_type(dev.dev);
             if (buft) {
-                buft_list.emplace_back(dev, buft);
+                buft_list.emplace_back(dev.dev, buft);
                 break;
             }
         }
@@ -273,14 +627,16 @@ static buft_list_t make_gpu_buft_list(ggml_backend_dev_t dev, llama_split_mode s
 
     // add the device extra buffer type (if any)
     ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
-    auto ggml_backend_dev_get_extra_bufts_fn = (ggml_backend_dev_get_extra_bufts_t)
-        ggml_backend_reg_get_proc_address(reg, "ggml_backend_dev_get_extra_bufts");
-
-    if (ggml_backend_dev_get_extra_bufts_fn) {
-        ggml_backend_buffer_type_t * extra_bufts = ggml_backend_dev_get_extra_bufts_fn(dev);
-        while (extra_bufts && *extra_bufts) {
-            buft_list.emplace_back(dev, *extra_bufts);
-            ++extra_bufts;
+    if (reg) {
+        auto ggml_backend_dev_get_extra_bufts_fn = (ggml_backend_dev_get_extra_bufts_t)
+            ggml_backend_reg_get_proc_address(reg, "ggml_backend_dev_get_extra_bufts");
+
+        if (ggml_backend_dev_get_extra_bufts_fn) {
+            ggml_backend_buffer_type_t * extra_bufts = ggml_backend_dev_get_extra_bufts_fn(dev);
+            while (extra_bufts && *extra_bufts) {
+                buft_list.emplace_back(dev, *extra_bufts);
+                ++extra_bufts;
+            }
         }
     }
 
@@ -342,6 +698,9 @@ void llama_model::load_arch(llama_model_loader & ml) {
     if (arch == LLM_ARCH_UNKNOWN) {
         throw std::runtime_error("unknown model architecture: '" + ml.get_arch_name() + "'");
     }
+    if (!devices.empty() && devices[0].is_meta && !llm_arch_supports_sm_tensor(arch)) {
+        throw std::runtime_error(std::string("LLAMA_SPLIT_MODE_TENSOR not implemented for architecture '") + llm_arch_name(arch) + "'");
+    }
 }
 
 void llama_model::load_hparams(llama_model_loader & ml) {
@@ -370,6 +729,8 @@ void llama_model::load_hparams(llama_model_loader & ml) {
     ml.get_key(LLM_KV_CONTEXT_LENGTH,          hparams.n_ctx_train);
     ml.get_key(LLM_KV_EMBEDDING_LENGTH,        hparams.n_embd);
     ml.get_key(LLM_KV_EMBEDDING_LENGTH_OUT,    hparams.n_embd_out_impl, false);
+    ml.get_key(LLM_KV_ATTENTION_CAUSAL,        hparams.causal_attn,     false);
+    ml.get_key(LLM_KV_POOLING_TYPE,            hparams.pooling_type,    false);
     ml.get_key(LLM_KV_BLOCK_COUNT,             hparams.n_layer);
     ml.get_key(LLM_KV_EXPERT_COUNT,            hparams.n_expert,        false);
     ml.get_key(LLM_KV_EXPERT_USED_COUNT,       hparams.n_expert_used,   false);
@@ -748,8 +1109,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_BERT:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
 
                 switch (hparams.n_layer) {
                     case 3:
@@ -781,8 +1140,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
 
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,        hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,            hparams.pooling_type, false);
 
                 switch (hparams.n_layer) {
                     case 12:
@@ -797,8 +1154,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_JINA_BERT_V2:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
                 hparams.f_max_alibi_bias = 8.0f;
 
                 switch (hparams.n_layer) {
@@ -810,8 +1165,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_JINA_BERT_V3:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
 
                 switch (hparams.n_layer) {
                     case 24:
@@ -823,8 +1176,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_NOMIC_BERT_MOE:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
                 ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS,         hparams.moe_every_n_layers, 0);
 
                 if (hparams.n_layer == 12 && hparams.n_embd == 768) {
@@ -838,8 +1189,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_NEO_BERT:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,            hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,                hparams.pooling_type, false);
 
                 if (hparams.n_layer == 28) {
                     type = LLM_TYPE_250M;
@@ -848,8 +1197,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_EUROBERT:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,            hparams.causal_attn, false);
-                ml.get_key(LLM_KV_POOLING_TYPE,                hparams.pooling_type, false);
 
                 if (hparams.n_layer == 12) {
                     type = LLM_TYPE_SMALL;  // 0.2B
@@ -913,7 +1260,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             // fall through
         case LLM_ARCH_QWEN2:
             {
-                ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 switch (hparams.n_layer) {
                     case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_5B : LLM_TYPE_1B; break;
@@ -940,8 +1286,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
                 // Set non-causal attention for diffusion models
                 hparams.causal_attn = false;
-            }
-            break;
+            } break;
         case LLM_ARCH_LLADA:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
@@ -955,8 +1300,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
                 // Set non-causal attention for diffusion models
                 hparams.causal_attn = false;
-            }
-            break;
+            } break;
         case LLM_ARCH_LLADA_MOE:
             {
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
@@ -995,7 +1339,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             } break;
         case LLM_ARCH_QWEN3:
             {
-                ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 switch (hparams.n_layer) {
                     case 28: type = hparams.n_embd == 1024 ? LLM_TYPE_0_6B : LLM_TYPE_1_7B; break;
@@ -1275,6 +1618,34 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
+        case LLM_ARCH_GEMMA4:
+            {
+                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
+
+                uint32_t n_kv_shared_layers = 0;
+                ml.get_key(LLM_KV_ATTENTION_SHARED_KV_LAYERS, n_kv_shared_layers, false);
+
+                hparams.n_layer_kv_from_start = hparams.n_layer - (int32_t)n_kv_shared_layers;
+                hparams.f_attention_scale     = 1.0f; // Gemma4 uses self.scaling = 1.0 (no pre-attn scaling)
+
+                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
+                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp, false);
+                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+                ml.get_key(LLM_KV_EMBEDDING_LENGTH_PER_LAYER,  hparams.n_embd_per_layer);
+                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA,    hparams.n_embd_head_k_swa);
+                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,  hparams.n_embd_head_v_swa);
+                ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,     hparams.f_final_logit_softcapping, false);
+
+                switch (hparams.n_layer) {
+                    case 30: type = LLM_TYPE_26B_A4B; break;
+                    case 35: type = LLM_TYPE_E2B; break;
+                    case 42: type = LLM_TYPE_E4B; break;
+                    case 60: type = LLM_TYPE_31B; break;
+                    default: type = LLM_TYPE_UNKNOWN;
+                }
+            } break;
         case LLM_ARCH_GEMMA_EMBEDDING:
             {
                 hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
@@ -1287,7 +1658,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
                 ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false);
 
                 //applied only if model converted with --sentence-transformers-dense-modules
                 ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false);
@@ -1624,7 +1994,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 // (optional) temperature tuning - used by mistral-large
                 ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE,  hparams.f_attn_temp_scale,       false);
-                ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.n_attn_temp_floor_scale, false);
+                ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.n_attn_temp_floor_scale, false); // FIXME why not use temperature_length?
 
                 hparams.f_attn_temp_offset = 0.0f;
 
@@ -1636,6 +2006,26 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
+        case LLM_ARCH_DEEPSEEK2OCR:
+            {
+                // similar to deepseek2, but without MLA
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+
+                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+                    hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX;
+                }
+
+                switch (hparams.n_layer) {
+                    case 12: type = LLM_TYPE_3B; break;
+                    default: type = LLM_TYPE_UNKNOWN;
+                }
+            } break;
         case LLM_ARCH_PLM:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
@@ -1673,6 +2063,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 // NextN/MTP parameters (GLM-OCR)
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false);
+                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
 
                 // TODO: when MTP is implemented, this should probably be updated if needed
                 hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
@@ -1706,6 +2097,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 // NextN/MTP parameters
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
+                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
 
                 // TODO: when MTP is implemented, this should probably be updated if needed
                 hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
@@ -1752,6 +2144,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 // NextN/MTP parameters
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
+                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
 
                 // TODO: when MTP is implemented, this should probably be updated if needed
                 hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
@@ -1926,6 +2319,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
 
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
+                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
 
                 switch (hparams.n_layer) {
                     case 32: type = LLM_TYPE_30B_A3B; break;
@@ -2054,7 +2448,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 switch (hparams.n_embd) {
                     case 768: type = LLM_TYPE_350M; break;
-                    case 1536: type = (hparams.n_embd == 2048 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break;
+                    case 1536: type = (hparams.n_ff() == 512 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break;
                     case 2048: case 2560: type = LLM_TYPE_3B; break;
                     case 4096: type = LLM_TYPE_32B; break;
                     default: type = LLM_TYPE_UNKNOWN;
@@ -2080,7 +2474,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
                 ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS,    hparams.f_norm_group_eps);
                 ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
             } break;
         case LLM_ARCH_BAILINGMOE:
             {
@@ -2108,6 +2501,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
+                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
 
                 // TODO: when MTP is implemented, this should probably be updated if needed
                 hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
@@ -2589,11 +2983,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
     // build a list of buffer types for the CPU and GPU devices
     pimpl->cpu_buft_list = make_cpu_buft_list(devices, params.use_extra_bufts, params.no_host);
-    for (auto * dev : devices) {
-        buft_list_t buft_list = make_gpu_buft_list(dev, split_mode, tensor_split);
+    for (const auto & dev : devices) {
+        buft_list_t buft_list = make_gpu_buft_list(dev.dev, split_mode, tensor_split);
         // add CPU buffer types as a fallback
         buft_list.insert(buft_list.end(), pimpl->cpu_buft_list.begin(), pimpl->cpu_buft_list.end());
-        pimpl->gpu_buft_list.emplace(dev, std::move(buft_list));
+        pimpl->gpu_buft_list.emplace(dev.dev, std::move(buft_list));
     }
 
     ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
@@ -2607,7 +3001,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
     if (all_zero) {
         // default split, by free memory
         for (size_t i = 0; i < n_devices(); ++i) {
-            ggml_backend_dev_t dev = devices[i];
+            ggml_backend_dev_t dev = devices[i].dev;
             size_t total;
             size_t free;
             ggml_backend_dev_memory(dev, &free, &total);
@@ -2643,7 +3037,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             return {cpu_dev, &pimpl->cpu_buft_list};
         }
         const int layer_gpu = std::upper_bound(splits.begin(), splits.begin() + n_devices(), float(il - i_gpu_start)/act_gpu_layers) - splits.begin();
-        auto * dev = devices.at(layer_gpu);
+        auto * dev = devices.at(layer_gpu).dev;
         LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s, is_swa = %d\n", il, ggml_backend_dev_name(dev), is_swa);
         return {dev, &pimpl->gpu_buft_list.at(dev)};
     };
@@ -2709,6 +3103,25 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
             }
         };
+
+        // helper: try to load merged qkv first, fall back to separate q, k, v
+        auto create_tensor_qkv = [&](llama_layer & layer, int bid,
+                int64_t n_embd_, int64_t n_embd_q_, int64_t n_embd_k_, int64_t n_embd_v_,
+                int flags) {
+            const int64_t n_embd_qkv = n_embd_q_ + n_embd_k_ + n_embd_v_;
+            layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", bid), {n_embd_, n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+            if (layer.wqkv) {
+                layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", bid), {n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+            } else {
+                layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", bid), {n_embd_, n_embd_q_}, flags);
+                layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", bid), {n_embd_, n_embd_k_}, flags);
+                layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", bid), {n_embd_, n_embd_v_}, flags);
+                layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", bid), {n_embd_q_}, TENSOR_NOT_REQUIRED);
+                layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", bid), {n_embd_k_}, TENSOR_NOT_REQUIRED);
+                layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", bid), {n_embd_v_}, TENSOR_NOT_REQUIRED);
+            }
+        };
+
         switch (arch) {
             case LLM_ARCH_LLAMA:
             case LLM_ARCH_REFACT:
@@ -2734,16 +3147,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
@@ -2806,7 +3214,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         // No bias for QKV projections as per config: include_bias=false, include_qkv_bias=false
                         layer.wo =
                             create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
 
@@ -2842,9 +3250,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -2883,9 +3289,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -2929,7 +3333,6 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         auto & layer = layers[i];
                         const int64_t n_embd_k_gqa  = hparams.n_embd_k_gqa(i);
                         const int64_t n_embd_v_gqa  = hparams.n_embd_v_gqa(i);
-                        const int64_t n_embd_gqa    = hparams.n_embd_v_gqa(i);
                         const int64_t n_ff          = hparams.n_ff(i);
                         const int64_t n_head        = hparams.n_head(i);
                         const int64_t n_head_kv     = hparams.n_head_kv(i);
@@ -2942,17 +3345,12 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         else if (n_head_kv > 0) {
                             layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
                         }
 
                         // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
 
                         if (n_ff > 0) {
                             layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -3044,9 +3442,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
@@ -3109,9 +3505,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -3176,10 +3570,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
 
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -3212,28 +3606,16 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
                     }
 
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"),   {n_embd}, 0);
+                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
 
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
 
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        if (!layer.wqkv) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i),   {n_embd}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
 
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i),   {n_embd_gqa}, 0);
-
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i),   {n_embd_gqa}, 0);
-                        }
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
 
                         layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd}, 0);
@@ -3260,7 +3642,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             case LLM_ARCH_MODERN_BERT:
                 {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-                    tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, 0);
+                    tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
 
                     output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
 
@@ -3326,9 +3708,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -3343,31 +3723,24 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     tok_embd  = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0); // word_embeddings
                     type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, 0); // token_type_embeddings
 
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, 0); // LayerNorm
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"),   {n_embd}, 0); //LayerNorm bias
+                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); // LayerNorm
+                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0); // LayerNorm bias
 
                     cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, 1}, TENSOR_NOT_REQUIRED);
                     cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {1},         TENSOR_NOT_REQUIRED);
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i]; // JinaBertLayer
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i),   {n_embd}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
 
                         layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
                         layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
 
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias",   i), {n_embd_gqa}, 0);
-
                         layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
                         layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
 
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias",   i), {n_embd_gqa}, 0);
-
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); //output_dens
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd}, 0); //output_dens
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); //output_dens
 
                         layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); //output_norm
                         layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias",   i), {n_embd}, 0);
@@ -3395,8 +3768,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             case LLM_ARCH_BLOOM:
                 {
                     tok_embd   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab}, 0);
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"),   {n_embd}, 0);
+                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
 
                     // output
                     output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
@@ -3415,10 +3788,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias",   i), {n_embd}, 0);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias",   i), {n_embd + 2*n_embd_gqa}, 0);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias",   i), {n_embd}, 0);
@@ -3451,10 +3824,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
@@ -3491,16 +3864,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm =   create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
-                        // optional bias tensors, present in Stable LM 2 1.6B
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
                         // optional q and k layernorms, present in StableLM 2 12B
                         layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head},    TENSOR_NOT_REQUIRED);
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED);
@@ -3528,7 +3894,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd*3}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd*3}, 0);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd*3}, 0);
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -3558,16 +3924,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
                         layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
@@ -3588,16 +3947,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
                         layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
@@ -3646,9 +3998,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -3679,9 +4029,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -3722,22 +4070,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
 
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i),   {n_embd}, 0);
-
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i),   {n_embd_gqa}, 0);
-
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i),   {n_embd_gqa}, 0);
-                        }
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
 
                         layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
                         layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
@@ -3764,7 +4100,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
 
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, n_embd + 2 * n_embd_gqa }, TENSOR_NOT_REQUIRED);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, TENSOR_NOT_REQUIRED);
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
@@ -3794,19 +4130,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias",   i), { n_embd }, 0);
 
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, n_embd + 2 * n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias",   i), {n_embd}, 0);
-
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias",   i), {n_embd_gqa}, 0);
-
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias",   i), {n_embd_gqa}, 0);
-                        }
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), { n_embd }, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), { n_embd }, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias",   i), { n_embd }, 0);
@@ -3833,9 +4159,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
@@ -3972,10 +4296,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "bias", i),   {n_embd}, 0);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -4007,11 +4331,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
 
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -4037,9 +4360,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -4063,9 +4384,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         // layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
 
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -4087,9 +4406,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -4111,9 +4428,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
                         layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
 
@@ -4148,9 +4463,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
@@ -4176,13 +4489,14 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
                     }
 
-                    tok_embd           = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,           "weight"), {n_embd, n_vocab}, 0);
-                    tok_embd_per_layer = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_altup * n_layer, n_vocab}, 0);
+                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+                    altup_proj        = create_tensor(tn(LLM_TENSOR_ALTUP_PROJ,        "weight"), {n_embd, n_embd, n_altup - 1}, 0);
+                    altup_unembd_proj = create_tensor(tn(LLM_TENSOR_ALTUP_UNEMBD_PROJ, "weight"), {n_embd, n_embd, n_altup - 1}, 0);
 
-                    altup_proj           = create_tensor(tn(LLM_TENSOR_ALTUP_PROJ,           "weight"), {n_embd, n_embd, n_altup - 1}, 0);
-                    altup_unembd_proj    = create_tensor(tn(LLM_TENSOR_ALTUP_UNEMBD_PROJ,    "weight"), {n_embd, n_embd, n_altup - 1}, 0);
-                    per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight"), {n_embd, n_embd_altup * n_layer}, 0);
-                    per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight"), {n_embd_altup}, 0);
+                    per_layer_tok_embd   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_altup * n_layer, n_vocab}, 0);
+                    per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_altup * n_layer}, 0);
+                    per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight", 0), {n_embd_altup}, 0);
 
                     output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
 
@@ -4191,9 +4505,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head_k}, 0);
@@ -4220,6 +4532,101 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.laurel_post_norm     = create_tensor(tn(LLM_TENSOR_LAUREL_POST_NORM,    "weight", i), {n_embd}, 0);
                     }
                 } break;
+            case LLM_ARCH_GEMMA4:
+                {
+                    const uint32_t n_embd_per_layer = hparams.n_embd_per_layer;
+                    const int64_t  n_ff_exp         = hparams.n_ff_exp;
+
+                    if (n_embd_head_k != n_embd_head_v) {
+                        throw std::runtime_error("Gemma 4 requires n_embd_head_k == n_embd_head_v");
+                    }
+                    if (hparams.n_embd_head_k_swa != hparams.n_embd_head_v_swa) {
+                        throw std::runtime_error("Gemma 4 requires n_embd_head_k_swa == n_embd_head_v_swa");
+                    }
+
+                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+                    // if output is NULL, init from the input tok embed
+                    if (output == NULL) {
+                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+                    }
+
+                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+                    if (n_embd_per_layer > 0) {
+                        per_layer_tok_embd   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"),    {n_embd_per_layer * n_layer, n_vocab}, 0);
+                        per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_per_layer * n_layer}, 0);
+                        per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight", 0), {n_embd_per_layer}, 0);
+                    }
+
+                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+                    int rope_freqs_flag = 0;
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        auto & layer = layers[i];
+                        const int64_t n_head      = hparams.n_head(i);
+                        const int64_t n_embd_head = hparams.n_embd_head_k(i);
+                        const int64_t n_embd_k    = hparams.n_embd_k_gqa(i);
+                        const int64_t n_embd_v    = hparams.n_embd_v_gqa(i);
+                        const int     kv_flags    = hparams.has_kv(i) ? 0 : TENSOR_NOT_REQUIRED;
+
+                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+                        // note: use_alternative_attention (v_proj is optional, if it's not present, use k_proj)
+                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head * n_head}, 0);
+                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k}, kv_flags);
+                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v}, TENSOR_NOT_REQUIRED);
+                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head * n_head, n_embd}, 0);
+
+                        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head}, 0);
+                        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head}, kv_flags);
+                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+                        layer.out_scale = create_tensor(tn(LLM_TENSOR_LAYER_OUT_SCALE, "weight", i), {1u}, TENSOR_NOT_REQUIRED);
+
+                        if (!hparams.is_swa(i)) {
+                            // full_attention layers use rope_freqs for proportional rope
+                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_embd_head/2}, rope_freqs_flag);
+                            rope_freqs_flag = TENSOR_DUPLICATED;
+                        }
+
+                        // handle use_double_wide_mlp
+                        int64_t n_ff_cur = hparams.n_ff(i);
+
+                        // for expert layers, we use normal FFN as shared expert (same as python code)
+                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff_cur}, 0);
+                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff_cur}, 0);
+                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0);
+                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+
+                        // MoE router
+                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
+                        bool has_expert = layer.ffn_gate_inp != nullptr;
+
+                        // norm
+                        if (has_expert) {
+                            layer.ffn_gate_inp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "scale", i), {n_embd}, 0);
+
+                            layer.ffn_pre_norm_2  = create_tensor(tn(LLM_TENSOR_FFN_PRE_NORM_2,  "weight", i), {n_embd}, 0);
+                            layer.ffn_post_norm_1 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_1, "weight", i), {n_embd}, 0);
+                            layer.ffn_post_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_2, "weight", i), {n_embd}, 0);
+
+                            // MoE FFN
+                            layer.ffn_gate_up_exps  = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS,  "weight", i), {n_embd, n_ff_exp * 2, n_expert}, 0);
+                            layer.ffn_down_exps     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS,     "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
+
+                            // per-expert scale will be loaded as down_exps_s at the end of the current switch case
+                        }
+
+                        // per-layer embeddings
+                        if (n_embd_per_layer > 0) {
+                            layer.per_layer_inp_gate   = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE,  "weight", i), {n_embd, n_embd_per_layer}, 0);
+                            layer.per_layer_proj       = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ,      "weight", i), {n_embd_per_layer, n_embd}, 0);
+                            layer.per_layer_post_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0);
+                        }
+                    }
+                } break;
             case LLM_ARCH_STARCODER2:
                 {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
@@ -4240,16 +4647,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -4415,9 +4817,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         } else {
                             // Attention layers
 
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         }
 
@@ -4493,14 +4893,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             const int64_t n_head_i = hparams.n_head(i);
                             const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i);
                             const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i);
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head_i}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa_i}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa_i}, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},         TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_k_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_v_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},         TENSOR_NOT_REQUIRED);
+                            layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
                         }
 
                         // feed forward (w/ optional biases)
@@ -4543,9 +4938,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -4573,9 +4966,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0);
                         }
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
@@ -4598,9 +4989,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_gqa }, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
 
                         layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0);
@@ -4623,9 +5012,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
@@ -4646,9 +5033,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_head_kv * n_embd_head}, 0);
@@ -4679,14 +5064,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_qo_dim}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_kv_dim}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_kv_dim}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, 0);
 
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_qo_dim},   TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_kv_dim},   TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_kv_dim},   TENSOR_NOT_REQUIRED);
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
@@ -4710,9 +5090,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, 0);
@@ -4779,10 +5157,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -4812,9 +5190,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -4851,9 +5227,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
@@ -4962,6 +5336,60 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
                             create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
 
+                            // Shared expert branch
+                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
+                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+                        }
+                    }
+                } break;
+            case LLM_ARCH_DEEPSEEK2OCR:
+                {
+                    // similar to deepseek2, but without MLA
+                    const int64_t n_ff_exp        = hparams.n_ff_exp;
+                    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+                    // output
+                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+                    // try to load output.weight, if not found, use token_embd (tied embeddings)
+                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+                    if (!output) {
+                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        auto & layer = layers[i];
+
+                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
+                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd}, 0);
+                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd}, 0);
+                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+                        // norm
+                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+                        if (i < (int) hparams.n_layer_dense_lead) {
+                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+                        } else {
+                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+                            if (n_expert == 0) {
+                                throw std::runtime_error("n_expert must be > 0");
+                            }
+                            if (n_expert_used == 0) {
+                                throw std::runtime_error("n_expert_used must be > 0");
+                            }
+
+                            // MoE branch
+                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+                            create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
+
                             // Shared expert branch
                             layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
                             layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
@@ -5147,10 +5575,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "bias", i),   {n_embd}, 0);
 
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
+                        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
 
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -5189,10 +5617,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         // attention biases - all have shape n_embd (output dimension of projections)
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+                        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0);
+                        layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0);
+                        layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
@@ -5220,17 +5648,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         auto & layer = layers[i];
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        }
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
@@ -5263,17 +5681,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         auto & layer = layers[i];
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, flags);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, flags);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, flags);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, flags | TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-                        }
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags);
 
                         layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags);
 
@@ -5331,12 +5739,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, flags);
 
                         // GLM-style attention with bias terms
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, flags);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, flags);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, flags);
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), { n_embd_head_k * n_head }, TENSOR_NOT_REQUIRED | flags);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), { n_embd_k_gqa }, TENSOR_NOT_REQUIRED | flags);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), { n_embd_v_gqa }, TENSOR_NOT_REQUIRED | flags);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags);
 
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, flags);
 
@@ -5516,16 +5919,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
                         layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                         layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0);
@@ -5592,14 +5990,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             const int64_t n_head_i = hparams.n_head(i);
                             const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i);
                             const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i);
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head_i}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa_i}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa_i}, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias",   i), {n_embd},         TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias",   i), {n_embd_k_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias",   i), {n_embd_v_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd},         TENSOR_NOT_REQUIRED);
+                            layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
                         }  else {
                             if (n_expert != 0) {
                                 const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
@@ -5647,9 +6040,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM,   "weight", i), {n_embd}, 0);
@@ -5675,9 +6066,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
@@ -5720,9 +6109,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         }
 
                         auto & layer = layers[i];
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_qo_dim}, flags);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_kv_dim}, flags);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_kv_dim}, flags);
+                        create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, flags);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, flags);
 
                         layer.rope_freqs   = create_tensor(tn(LLM_TENSOR_ROPE_FREQS,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0) | flags);
@@ -5775,8 +6162,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
                     // Block 0, LN0
-                    tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"), {n_embd}, 0);
+                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
 
                     // output
                     output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
@@ -5890,8 +6277,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
                     // Block 0, LN0
-                    tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"), {n_embd}, 0);
+                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
 
                     // output
                     output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
@@ -6046,9 +6433,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i),  {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED);
                         layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i),  {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -6062,8 +6447,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hparams.n_embd, n_vocab}, 0);
 
-                    conv1d   = create_tensor(tn(LLM_TENSOR_CONV1D, "weight"), {7, hparams.n_embd, hparams.posnet.n_embd}, 0);
-                    conv1d_b = create_tensor(tn(LLM_TENSOR_CONV1D, "bias"),   {1, hparams.posnet.n_embd}, 0);
+                    conv1d   = create_tensor(tn(LLM_TENSOR_CONV1D, "weight", 0), {7, hparams.n_embd, hparams.posnet.n_embd}, 0);
+                    conv1d_b = create_tensor(tn(LLM_TENSOR_CONV1D, "bias",   0), {1, hparams.posnet.n_embd}, 0);
 
                     // posnet
                     {
@@ -6128,8 +6513,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                     GGML_ASSERT(hparams.posnet.n_embd == hparams.convnext.n_embd);
 
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {hparams.posnet.n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"),   {hparams.posnet.n_embd}, 0);
+                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {hparams.posnet.n_embd}, 0);
+                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {hparams.posnet.n_embd}, 0);
 
                     // convnext
                     {
@@ -6177,9 +6562,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_head * n_rot}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0);
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
@@ -6280,9 +6663,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_head_k * n_head, n_embd_head_k * n_head, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -6335,9 +6716,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -6372,9 +6751,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
 
                         // attention projections
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         // Q/K normalization
@@ -6432,16 +6809,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
@@ -6521,14 +6893,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         /*ATTENTION LAYERS*/
                         // attention layers (with optional bias)
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {hidden_size, n_embd_head_k * attn_num_attention_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {hidden_size, attn_num_key_value_head * n_embd_head_k}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {hidden_size, attn_num_key_value_head * n_embd_head_v}, 0);
+                        create_tensor_qkv(layer, i, hidden_size, n_embd_head_k * attn_num_attention_head, attn_num_key_value_head * n_embd_head_k, attn_num_key_value_head * n_embd_head_v, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * attn_num_attention_head, hidden_size}, 0);
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {attn_num_key_value_head * n_embd_head_k}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {attn_num_key_value_head * n_embd_head_v}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {hidden_size}, 0);
 
 
@@ -6562,9 +6929,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -6599,9 +6964,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -6633,9 +6996,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
@@ -6660,9 +7021,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), {n_embd}, 0);
                         layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_head * n_rot}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0);
 
                         layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, 0);
@@ -6672,11 +7031,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
                         layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
 
-                        // bias
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_head * n_rot}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_head_kv * n_rot}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_head_kv * n_rot}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
 
                         layer.ffn_gate_inp_b  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "bias", i), {n_expert}, 0);
                         layer.ffn_gate_exps_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "bias", i), {n_ff_exp, n_expert}, 0);
@@ -6724,9 +7079,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
                             GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa);
 
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, hparams.n_embd_k_gqa(i)}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, hparams.n_embd_v_gqa(i)}, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd, hparams.n_embd_k_gqa(i), hparams.n_embd_v_gqa(i), 0);
 
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
                         } else {
@@ -6758,9 +7111,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_gqa }, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
@@ -6797,9 +7148,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -6843,16 +7192,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
                         }
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_gqa }, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
                         // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), { n_embd },     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), { n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), { n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd },     TENSOR_NOT_REQUIRED);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
                         layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
@@ -6876,9 +7220,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_gqa }, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
@@ -6935,9 +7277,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                              // q, k, v projections
                              // Python: q_proj, k_proj, v_proj
-                             layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k_kda * n_head}, 0);
-                             layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_head_k_kda * n_head}, 0);
-                             layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_head_v_kda * n_head}, 0);
+                             create_tensor_qkv(layer, i, n_embd, n_embd_head_k_kda * n_head, n_embd_head_k_kda * n_head, n_embd_head_v_kda * n_head, 0);
 
                              // KDA specific projections
                              // f_a_proj, f_b_proj
@@ -7083,16 +7423,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
                         // weight tensors
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         // bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd_head_k * n_head}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+                        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
 
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
@@ -7149,9 +7484,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         if (!hparams.is_recurrent(i)) {
                             // Attention layers
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head * 2 }, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_v_gqa }, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
                             // Q/K normalization for attention layers
@@ -7215,9 +7548,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         if (!hparams.is_recurrent(i)) {
                             // Attention layers
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head * 2 }, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_v_gqa }, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
                             // Q/K normalization for attention layers
@@ -7280,9 +7611,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         if (!hparams.is_recurrent(i)) {
                             // Attention layers
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head * 2 }, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_v_gqa }, 0);
+                            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0);
                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
                             // Q/K normalization for attention layers
@@ -7321,9 +7650,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i);
                         uint32_t n_head = hparams.n_head(i);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_v * n_head, n_embd }, 0);
 
                         layer.attn_norm  = create_tensor(tn(LLM_TENSOR_ATTN_NORM,  "weight", i), {n_embd}, 0);
@@ -7382,9 +7709,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
                         }
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head_l}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_l, n_embd_k_gqa, n_embd_v_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v * n_head_l, n_embd}, 0);
 
                         // head-wise attention gate (Step35 self_attn.g_proj)
@@ -7428,9 +7753,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+                        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
                         layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
 
                         layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
@@ -7515,11 +7838,77 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             if (!layer.ssm_beta_s && layer.ssm_beta) {
                 layer.ssm_beta_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "scale", i), {1}, TENSOR_NOT_REQUIRED);
             }
+
+            // input scales
+            if (!layer.wq_in_s && layer.wq) {
+                layer.wq_in_s = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wk_in_s && layer.wk) {
+                layer.wk_in_s = create_tensor(tn(LLM_TENSOR_ATTN_K,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wv_in_s && layer.wv) {
+                layer.wv_in_s = create_tensor(tn(LLM_TENSOR_ATTN_V,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wo_in_s && layer.wo) {
+                layer.wo_in_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wqkv_in_s && layer.wqkv) {
+                layer.wqkv_in_s = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wqkv_gate_in_s && layer.wqkv_gate) {
+                layer.wqkv_gate_in_s = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_in_s && layer.ffn_gate) {
+                layer.ffn_gate_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_in_s && layer.ffn_down) {
+                layer.ffn_down_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_in_s && layer.ffn_up) {
+                layer.ffn_up_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_exps_in_s && layer.ffn_gate_exps) {
+                layer.ffn_gate_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_exps_in_s && layer.ffn_down_exps) {
+                layer.ffn_down_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_exps_in_s && layer.ffn_up_exps) {
+                layer.ffn_up_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_shexp_in_s && layer.ffn_gate_shexp) {
+                layer.ffn_gate_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_shexp_in_s && layer.ffn_down_shexp) {
+                layer.ffn_down_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_shexp_in_s && layer.ffn_up_shexp) {
+                layer.ffn_up_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_in_in_s && layer.ssm_in) {
+                layer.ssm_in_in_s = create_tensor(tn(LLM_TENSOR_SSM_IN, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_out_in_s && layer.ssm_out) {
+                layer.ssm_out_in_s = create_tensor(tn(LLM_TENSOR_SSM_OUT, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_alpha_in_s && layer.ssm_alpha) {
+                layer.ssm_alpha_in_s = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_beta_in_s && layer.ssm_beta) {
+                layer.ssm_beta_in_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
         }
     }
 
     ml.done_getting_tensors();
 
+    // populate tensors_by_name
+    for (auto & [_, ctx_ptr] : ml.ctx_map) {
+        for (auto * cur = ggml_get_first_tensor(ctx_ptr.get()); cur != NULL; cur = ggml_get_next_tensor(ctx_ptr.get(), cur)) {
+            tensors_by_name.emplace_back(ggml_get_name(cur), cur);
+        }
+    }
+
     ml.init_mappings(true, use_mlock ? &pimpl->mlock_mmaps : nullptr);
     pimpl->mappings.reserve(ml.mappings.size());
 
@@ -7602,14 +7991,15 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 buf_map.emplace(idx, buf);
             }
         }
-        pimpl->ctxs_bufs.emplace_back(std::move(ctx_ptr), std::move(bufs));
 
-        for (auto & buf : buf_map) {
+        for (auto & buf : bufs) {
             // indicate that this buffer contains weights
             // this is used by ggml_backend_sched to improve op scheduling: ops that use a weight are preferably scheduled to the backend that contains the weight
-            ggml_backend_buffer_set_usage(buf.second, GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
+            ggml_backend_buffer_set_usage(buf.get(), GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
         }
 
+        pimpl->ctxs_bufs.emplace_back(std::move(ctx_ptr), std::move(bufs));
+
         ctx_buf_maps.emplace_back(ctx, buf_map);
     }
 
@@ -7637,13 +8027,6 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
         }
     }
 
-    // populate tensors_by_name
-    for (auto & [ctx, _] : pimpl->ctxs_bufs) {
-        for (auto * cur = ggml_get_first_tensor(ctx.get()); cur != NULL; cur = ggml_get_next_tensor(ctx.get(), cur)) {
-            tensors_by_name.emplace_back(ggml_get_name(cur), cur);
-        }
-    }
-
     if (ml.no_alloc) {
         return true;
     }
@@ -7688,6 +8071,10 @@ size_t llama_model::n_devices() const {
     return devices.size();
 }
 
+const float * llama_model::tensor_split() const {
+    return params.tensor_split;
+}
+
 uint32_t llama_model::n_gpu_layers() const {
     return params.n_gpu_layers >= 0 ? params.n_gpu_layers : hparams.n_layer + 1;
 }
@@ -7806,114 +8193,114 @@ void llama_model::print_info() const {
             LLAMA_LOG_INFO("%s: n_cls_out             = %u\n", __func__, hparams.n_cls_out);
 
             size_t i = 0;
-            for (auto label : classifier_labels) {
+            for (const auto & label : classifier_labels) {
                 LLAMA_LOG_INFO("%s: cls_label[%2zu]         = %s\n", __func__, i++, label.c_str());
             }
         }
-    }
 
-    if (arch == LLM_ARCH_MAMBA ||
-        arch == LLM_ARCH_MAMBA2 ||
-        arch == LLM_ARCH_JAMBA ||
-        arch == LLM_ARCH_FALCON_H1 ||
-        arch == LLM_ARCH_PLAMO2 ||
-        arch == LLM_ARCH_GRANITE_HYBRID ||
-        arch == LLM_ARCH_QWEN3NEXT ||
-        arch == LLM_ARCH_QWEN35 ||
-        arch == LLM_ARCH_QWEN35MOE ||
-        arch == LLM_ARCH_NEMOTRON_H ||
-        arch == LLM_ARCH_NEMOTRON_H_MOE) {
-        LLAMA_LOG_INFO("%s: ssm_d_conv            = %u\n",     __func__, hparams.ssm_d_conv);
-        LLAMA_LOG_INFO("%s: ssm_d_inner           = %u\n",     __func__, hparams.ssm_d_inner);
-        LLAMA_LOG_INFO("%s: ssm_d_state           = %u\n",     __func__, hparams.ssm_d_state);
-        LLAMA_LOG_INFO("%s: ssm_dt_rank           = %u\n",     __func__, hparams.ssm_dt_rank);
-        LLAMA_LOG_INFO("%s: ssm_n_group           = %u\n",     __func__, hparams.ssm_n_group);
-        LLAMA_LOG_INFO("%s: ssm_dt_b_c_rms        = %d\n",     __func__, hparams.ssm_dt_b_c_rms);
-    }
+        if (arch == LLM_ARCH_MAMBA ||
+                arch == LLM_ARCH_MAMBA2 ||
+                arch == LLM_ARCH_JAMBA ||
+                arch == LLM_ARCH_FALCON_H1 ||
+                arch == LLM_ARCH_PLAMO2 ||
+                arch == LLM_ARCH_GRANITE_HYBRID ||
+                arch == LLM_ARCH_QWEN3NEXT ||
+                arch == LLM_ARCH_QWEN35 ||
+                arch == LLM_ARCH_QWEN35MOE ||
+                arch == LLM_ARCH_NEMOTRON_H ||
+                arch == LLM_ARCH_NEMOTRON_H_MOE) {
+            LLAMA_LOG_INFO("%s: ssm_d_conv            = %u\n",     __func__, hparams.ssm_d_conv);
+            LLAMA_LOG_INFO("%s: ssm_d_inner           = %u\n",     __func__, hparams.ssm_d_inner);
+            LLAMA_LOG_INFO("%s: ssm_d_state           = %u\n",     __func__, hparams.ssm_d_state);
+            LLAMA_LOG_INFO("%s: ssm_dt_rank           = %u\n",     __func__, hparams.ssm_dt_rank);
+            LLAMA_LOG_INFO("%s: ssm_n_group           = %u\n",     __func__, hparams.ssm_n_group);
+            LLAMA_LOG_INFO("%s: ssm_dt_b_c_rms        = %d\n",     __func__, hparams.ssm_dt_b_c_rms);
+        }
 
-    LLAMA_LOG_INFO("%s: model type            = %s\n",     __func__, type_name().c_str());
-    if (pimpl->n_elements >= 1e12) {
-        LLAMA_LOG_INFO("%s: model params          = %.2f T\n", __func__, pimpl->n_elements*1e-12);
-    } else if (pimpl->n_elements >= 1e9) {
-        LLAMA_LOG_INFO("%s: model params          = %.2f B\n", __func__, pimpl->n_elements*1e-9);
-    } else if (pimpl->n_elements >= 1e6) {
-        LLAMA_LOG_INFO("%s: model params          = %.2f M\n", __func__, pimpl->n_elements*1e-6);
-    } else {
-        LLAMA_LOG_INFO("%s: model params          = %.2f K\n", __func__, pimpl->n_elements*1e-3);
-    }
+        LLAMA_LOG_INFO("%s: model type            = %s\n",     __func__, type_name().c_str());
+        if (pimpl->n_elements >= 1e12) {
+            LLAMA_LOG_INFO("%s: model params          = %.2f T\n", __func__, pimpl->n_elements*1e-12);
+        } else if (pimpl->n_elements >= 1e9) {
+            LLAMA_LOG_INFO("%s: model params          = %.2f B\n", __func__, pimpl->n_elements*1e-9);
+        } else if (pimpl->n_elements >= 1e6) {
+            LLAMA_LOG_INFO("%s: model params          = %.2f M\n", __func__, pimpl->n_elements*1e-6);
+        } else {
+            LLAMA_LOG_INFO("%s: model params          = %.2f K\n", __func__, pimpl->n_elements*1e-3);
+        }
 
-    // general kv
-    LLAMA_LOG_INFO("%s: general.name          = %s\n",    __func__, name.c_str());
+        // general kv
+        LLAMA_LOG_INFO("%s: general.name          = %s\n",    __func__, name.c_str());
 
-    if (arch == LLM_ARCH_DEEPSEEK) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-    }
+        if (arch == LLM_ARCH_DEEPSEEK) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+        }
 
-    if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_MISTRAL4) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_lora_q              = %d\n",     __func__, hparams.n_lora_q);
-        LLAMA_LOG_INFO("%s: n_lora_kv             = %d\n",     __func__, hparams.n_lora_kv);
-        LLAMA_LOG_INFO("%s: n_embd_head_k_mla     = %d\n",     __func__, hparams.n_embd_head_k_mla());
-        LLAMA_LOG_INFO("%s: n_embd_head_v_mla     = %d\n",     __func__, hparams.n_embd_head_v_mla());
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-        LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
-        LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
-    }
+        if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_DEEPSEEK2OCR || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_MISTRAL4) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_lora_q              = %d\n",     __func__, hparams.n_lora_q);
+            LLAMA_LOG_INFO("%s: n_lora_kv             = %d\n",     __func__, hparams.n_lora_kv);
+            LLAMA_LOG_INFO("%s: n_embd_head_k_mla     = %d\n",     __func__, hparams.n_embd_head_k_mla());
+            LLAMA_LOG_INFO("%s: n_embd_head_v_mla     = %d\n",     __func__, hparams.n_embd_head_v_mla());
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+            LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
+            LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
+        }
 
-    if (arch == LLM_ARCH_QWEN2MOE) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
-    }
+        if (arch == LLM_ARCH_QWEN2MOE) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
+        }
 
-    if (arch == LLM_ARCH_QWEN3MOE || arch == LLM_ARCH_OPENAI_MOE || arch == LLM_ARCH_QWEN3VLMOE || arch == LLM_ARCH_RND1) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-    }
+        if (arch == LLM_ARCH_QWEN3MOE || arch == LLM_ARCH_OPENAI_MOE || arch == LLM_ARCH_QWEN3VLMOE || arch == LLM_ARCH_RND1) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+        }
 
-    if (arch == LLM_ARCH_MINICPM ||
-        arch == LLM_ARCH_GRANITE ||
-        arch == LLM_ARCH_GRANITE_MOE ||
-        arch == LLM_ARCH_GRANITE_HYBRID ||
-        arch == LLM_ARCH_NEMOTRON_H_MOE) {
-        LLAMA_LOG_INFO("%s: f_embedding_scale     = %f\n", __func__, hparams.f_embedding_scale);
-        LLAMA_LOG_INFO("%s: f_residual_scale      = %f\n", __func__, hparams.f_residual_scale);
-        LLAMA_LOG_INFO("%s: f_attention_scale     = %f\n", __func__, hparams.f_attention_scale);
-        LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n", __func__, hparams.n_ff_shexp);
-    }
+        if (arch == LLM_ARCH_MINICPM ||
+                arch == LLM_ARCH_GRANITE ||
+                arch == LLM_ARCH_GRANITE_MOE ||
+                arch == LLM_ARCH_GRANITE_HYBRID ||
+                arch == LLM_ARCH_NEMOTRON_H_MOE) {
+            LLAMA_LOG_INFO("%s: f_embedding_scale     = %f\n", __func__, hparams.f_embedding_scale);
+            LLAMA_LOG_INFO("%s: f_residual_scale      = %f\n", __func__, hparams.f_residual_scale);
+            LLAMA_LOG_INFO("%s: f_attention_scale     = %f\n", __func__, hparams.f_attention_scale);
+            LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n", __func__, hparams.n_ff_shexp);
+        }
 
-    if (arch == LLM_ARCH_BAILINGMOE) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-        LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
-    }
+        if (arch == LLM_ARCH_BAILINGMOE) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+            LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
+        }
 
-    if (arch == LLM_ARCH_BAILINGMOE2) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-        LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
-        LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
-        LLAMA_LOG_INFO("%s: nextn_predict_layers  = %d\n",     __func__, hparams.nextn_predict_layers);
-    }
+        if (arch == LLM_ARCH_BAILINGMOE2) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+            LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
+            LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
+            LLAMA_LOG_INFO("%s: nextn_predict_layers  = %d\n",     __func__, hparams.nextn_predict_layers);
+        }
 
-    if (arch == LLM_ARCH_SMALLTHINKER || arch == LLM_ARCH_LFM2MOE) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
-    }
+        if (arch == LLM_ARCH_SMALLTHINKER || arch == LLM_ARCH_LFM2MOE) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
+        }
 
-    if (arch == LLM_ARCH_GROVEMOE) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_ff_chexp            = %d\n",     __func__, hparams.n_ff_chexp);
-        LLAMA_LOG_INFO("%s: n_group_experts       = %d\n",     __func__, hparams.n_group_experts);
-        LLAMA_LOG_INFO("%s: expert_group_scale    = %.2f\n",   __func__, hparams.expert_group_scale);
+        if (arch == LLM_ARCH_GROVEMOE) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_ff_chexp            = %d\n",     __func__, hparams.n_ff_chexp);
+            LLAMA_LOG_INFO("%s: n_group_experts       = %d\n",     __func__, hparams.n_group_experts);
+            LLAMA_LOG_INFO("%s: expert_group_scale    = %.2f\n",   __func__, hparams.expert_group_scale);
+        }
     }
 
     vocab.print_info();
@@ -8110,7 +8497,7 @@ llama_memory_i * llama_model::create_memory(const llama_memory_params & params,
                 } else {
                     llama_memory_i::layer_reuse_cb reuse = nullptr;
 
-                    if (arch == LLM_ARCH_GEMMA3N) {
+                    if (arch == LLM_ARCH_GEMMA3N || arch == LLM_ARCH_GEMMA4) {
                         reuse = [&](int32_t il) {
                             if (il >= (int32_t) hparams.n_layer_kv_from_start) {
                                 return (int32_t) hparams.n_layer_kv_from_start - (hparams.is_swa(il) ? 2 : 1);
@@ -8173,9 +8560,9 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
         case LLM_ARCH_LLAMA4:
             {
                 if (hparams.swa_type == LLAMA_SWA_TYPE_NONE) {
-                    llm = std::make_unique<llm_build_llama<false>>(*this, params);
+                    llm = std::make_unique<llm_build_llama4<false>>(*this, params);
                 } else {
-                    llm = std::make_unique<llm_build_llama_iswa>(*this, params);
+                    llm = std::make_unique<llm_build_llama4<true>>(*this, params);
                 }
             } break;
         case LLM_ARCH_LLAMA_EMBED:
@@ -8253,23 +8640,19 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
         case LLM_ARCH_DREAM:
             {
                 llm = std::make_unique<llm_build_dream>(*this, params);
-            }
-            break;
+            } break;
         case LLM_ARCH_LLADA:
             {
                 llm = std::make_unique<llm_build_llada>(*this, params);
-            }
-            break;
+            } break;
         case LLM_ARCH_LLADA_MOE:
             {
                 llm = std::make_unique<llm_build_llada_moe>(*this, params);
-            }
-            break;
+            } break;
         case LLM_ARCH_RND1:
             {
                 llm = std::make_unique<llm_build_rnd1>(*this, params);
-            }
-            break;
+            } break;
         case LLM_ARCH_QWEN2VL:
             {
                 llm = std::make_unique<llm_build_qwen2vl>(*this, params);
@@ -8363,6 +8746,10 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
             {
                 llm = std::make_unique<llm_build_gemma3n_iswa>(*this, params);
             } break;
+        case LLM_ARCH_GEMMA4:
+            {
+                llm = std::make_unique<llm_build_gemma4_iswa>(*this, params);
+            } break;
         case LLM_ARCH_GEMMA_EMBEDDING:
             {
                 llm = std::make_unique<llm_build_gemma_embedding>(*this, params);
@@ -8429,6 +8816,7 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
                 llm = std::make_unique<llm_build_deepseek>(*this, params);
             } break;
         case LLM_ARCH_DEEPSEEK2:
+        case LLM_ARCH_DEEPSEEK2OCR:
         case LLM_ARCH_GLM_DSA:
         case LLM_ARCH_MISTRAL4:
             {
@@ -8454,11 +8842,11 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
             {
                 switch (params.gtype) {
                     case LLM_GRAPH_TYPE_ENCODER:
-                        llm = std::make_unique<llm_build_t5_enc>(*this, params);
+                        llm = std::make_unique<llm_build_t5<true>>(*this, params);
                         break;
                     case LLM_GRAPH_TYPE_DEFAULT:
                     case LLM_GRAPH_TYPE_DECODER:
-                        llm = std::make_unique<llm_build_t5_dec>(*this, params);
+                        llm = std::make_unique<llm_build_t5<false>>(*this, params);
                         break;
                     default:
                         GGML_ABORT("invalid graph type");
@@ -8466,9 +8854,8 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
             } break;
         case LLM_ARCH_T5ENCODER:
             {
-                llm = std::make_unique<llm_build_t5_enc>(*this, params);
-            }
-            break;
+                llm = std::make_unique<llm_build_t5encoder>(*this, params);
+            } break;
         case LLM_ARCH_JAIS:
             {
                 llm = std::make_unique<llm_build_jais>(*this, params);
@@ -8829,6 +9216,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
         case LLM_ARCH_ARCTIC:
         case LLM_ARCH_DEEPSEEK:
         case LLM_ARCH_DEEPSEEK2:
+        case LLM_ARCH_DEEPSEEK2OCR:
         case LLM_ARCH_PLM:
         case LLM_ARCH_CHATGLM:
         case LLM_ARCH_GRANITE:
@@ -8881,6 +9269,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
         case LLM_ARCH_GEMMA2:
         case LLM_ARCH_GEMMA3:
         case LLM_ARCH_GEMMA3N:
+        case LLM_ARCH_GEMMA4:
         case LLM_ARCH_GEMMA_EMBEDDING:
         case LLM_ARCH_STARCODER2:
         case LLM_ARCH_OPENELM:
@@ -9061,3 +9450,18 @@ bool llama_model_is_diffusion(const llama_model * model) {
 const std::vector<std::pair<std::string, ggml_tensor *>> & llama_internal_get_tensor_map(const llama_model * model) {
     return model->tensors_by_name;
 }
+
+int32_t llama_model_n_expert(const struct llama_model * model) {
+    return model->hparams.n_expert;
+}
+
+int32_t llama_model_n_devices(const struct llama_model * model) {
+    return (int32_t)model->devices.size();
+}
+
+ggml_backend_dev_t llama_model_get_device(const struct llama_model * model, int i) {
+    if (i < 0 || i >= (int)model->devices.size()) {
+        return nullptr;
+    }
+    return model->devices[i].dev;
+}
diff --git a/src/llama-model.h b/src/llama-model.h
index aefcfe700f7450aad2ed2142a2258069222fa20b..5f101bd637452f15112381fbe15934e34a0bba59 100644
--- a/src/llama-model.h
+++ b/src/llama-model.h
@@ -84,6 +84,7 @@ enum llm_type {
     LLM_TYPE_26B,
     LLM_TYPE_27B,
     LLM_TYPE_30B,
+    LLM_TYPE_31B,
     LLM_TYPE_32B,
     LLM_TYPE_34B,
     LLM_TYPE_35B,
@@ -118,6 +119,7 @@ enum llm_type {
     LLM_TYPE_16B_A1B,
     LLM_TYPE_21B_A3B, // Ernie MoE small
     LLM_TYPE_24B_A2B, // lfm2moe
+    LLM_TYPE_26B_A4B, // Gemma4
     LLM_TYPE_30B_A3B,
     LLM_TYPE_31B_A3_5B,
     LLM_TYPE_35B_A3B, // Qwen3.5
@@ -244,6 +246,8 @@ struct llama_layer {
     struct ggml_tensor * wkv_b     = nullptr;
     struct ggml_tensor * wk_b      = nullptr;
     struct ggml_tensor * wv_b      = nullptr;
+    struct ggml_tensor * wqkv_b    = nullptr;
+    struct ggml_tensor * wo_b      = nullptr;
     struct ggml_tensor * wq_cross  = nullptr;
     struct ggml_tensor * wk_cross  = nullptr;
     struct ggml_tensor * wv_cross  = nullptr;
@@ -254,13 +258,6 @@ struct llama_layer {
     struct ggml_tensor * wo_enc    = nullptr;
     struct ggml_tensor * wqkv_gate = nullptr;
 
-    // attention bias
-    struct ggml_tensor * bq   = nullptr;
-    struct ggml_tensor * bk   = nullptr;
-    struct ggml_tensor * bv   = nullptr;
-    struct ggml_tensor * bo   = nullptr;
-    struct ggml_tensor * bqkv = nullptr;
-
     // relative position bias
     struct ggml_tensor * attn_rel_b       = nullptr;
     struct ggml_tensor * attn_rel_b_enc   = nullptr;
@@ -270,6 +267,9 @@ struct llama_layer {
     struct ggml_tensor * ffn_norm         = nullptr;
     struct ggml_tensor * ffn_norm_b       = nullptr;
     struct ggml_tensor * ffn_post_norm    = nullptr;
+    struct ggml_tensor * ffn_post_norm_1  = nullptr; // gemma4
+    struct ggml_tensor * ffn_post_norm_2  = nullptr; // gemma4
+    struct ggml_tensor * ffn_pre_norm_2   = nullptr; // gemma4
     struct ggml_tensor * layer_out_norm   = nullptr;
     struct ggml_tensor * layer_out_norm_b = nullptr;
     struct ggml_tensor * ffn_norm_exps    = nullptr;
@@ -285,6 +285,7 @@ struct llama_layer {
 
     // ff MoE
     struct ggml_tensor * ffn_gate_inp      = nullptr;
+    struct ggml_tensor * ffn_gate_inp_s    = nullptr; // gemma4
     struct ggml_tensor * ffn_gate_exps     = nullptr;
     struct ggml_tensor * ffn_down_exps     = nullptr;
     struct ggml_tensor * ffn_up_exps       = nullptr;
@@ -414,6 +415,27 @@ struct llama_layer {
     struct ggml_tensor * ssm_alpha_s = nullptr;
     struct ggml_tensor * ssm_beta_s  = nullptr;
 
+    // input scales
+    struct ggml_tensor * wq_in_s            = nullptr;
+    struct ggml_tensor * wk_in_s            = nullptr;
+    struct ggml_tensor * wv_in_s            = nullptr;
+    struct ggml_tensor * wo_in_s            = nullptr;
+    struct ggml_tensor * wqkv_in_s          = nullptr;
+    struct ggml_tensor * wqkv_gate_in_s     = nullptr;
+    struct ggml_tensor * ffn_gate_in_s      = nullptr;
+    struct ggml_tensor * ffn_up_in_s        = nullptr;
+    struct ggml_tensor * ffn_down_in_s      = nullptr;
+    struct ggml_tensor * ffn_gate_exps_in_s = nullptr;
+    struct ggml_tensor * ffn_down_exps_in_s = nullptr;
+    struct ggml_tensor * ffn_up_exps_in_s   = nullptr;
+    struct ggml_tensor * ffn_gate_shexp_in_s= nullptr;
+    struct ggml_tensor * ffn_up_shexp_in_s  = nullptr;
+    struct ggml_tensor * ffn_down_shexp_in_s= nullptr;
+    struct ggml_tensor * ssm_in_in_s        = nullptr;
+    struct ggml_tensor * ssm_out_in_s       = nullptr;
+    struct ggml_tensor * ssm_alpha_in_s     = nullptr;
+    struct ggml_tensor * ssm_beta_in_s      = nullptr;
+
     // altup & laurel
     struct ggml_tensor * per_layer_inp_gate   = nullptr;
     struct ggml_tensor * per_layer_proj       = nullptr;
@@ -462,6 +484,9 @@ struct llama_layer {
     struct ggml_tensor * indexer_attn_k   = nullptr;
     struct ggml_tensor * indexer_attn_q_b = nullptr; // note: for lora a/b, not bias
 
+    // gemma4 layer output scale
+    struct ggml_tensor * out_scale = nullptr;
+
     struct llama_layer_posnet posnet;
 
     struct llama_layer_convnext convnext;
@@ -471,6 +496,19 @@ struct llama_layer {
     struct llama_layer_nextn nextn;
 };
 
+struct llama_device {
+    bool is_meta;
+
+    ggml_backend_dev_t dev;
+};
+
+struct llama_meta_device_get_split_state_userdata {
+    size_t                     n_devices;
+    const struct llama_model * model;
+};
+
+struct ggml_backend_meta_split_state llama_meta_device_get_split_state(const struct ggml_tensor * tensor, void * userdata);
+
 struct llama_model {
     llm_type type = LLM_TYPE_UNKNOWN;
     llm_arch arch = LLM_ARCH_UNKNOWN;
@@ -506,9 +544,9 @@ struct llama_model {
     struct ggml_tensor * conv1d_b = nullptr;
 
     // gemma3n altup
-    struct ggml_tensor * tok_embd_per_layer   = nullptr;
     struct ggml_tensor * altup_proj           = nullptr;
     struct ggml_tensor * altup_unembd_proj    = nullptr;
+    struct ggml_tensor * per_layer_tok_embd   = nullptr;
     struct ggml_tensor * per_layer_model_proj = nullptr;
     struct ggml_tensor * per_layer_proj_norm  = nullptr;
 
@@ -525,7 +563,7 @@ struct llama_model {
     std::unordered_map<std::string, std::string> gguf_kv;
 
     // list of devices used in this model
-    std::vector<ggml_backend_dev_t> devices;
+    std::vector<llama_device> devices;
 
     // for quantize-stats only
     std::vector<std::pair<std::string, struct ggml_tensor *>> tensors_by_name;
@@ -533,6 +571,9 @@ struct llama_model {
     // for keeping track of associated LoRA adapters
     std::unordered_set<llama_adapter_lora *> loras;
 
+    // statically allocated context for assigning
+    struct llama_meta_device_get_split_state_userdata get_split_state_ud;
+
     int64_t t_load_us  = 0;
     int64_t t_start_us = 0;
 
@@ -553,6 +594,7 @@ struct llama_model {
     size_t size() const; // file size
     size_t n_tensors() const;
     size_t n_devices() const;
+    const float * tensor_split() const;
 
     uint32_t n_gpu_layers() const;
     llama_split_mode split_mode() const;
diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index 8e8ce231249d6d309fd33aa04a0abbef6e954818..f91d795b3e9692a8defc919878418dce1c6f7b41 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -1,11 +1,11 @@
-#include "llama.h"
 #include "llama-impl.h"
 #include "llama-model.h"
 #include "llama-model-loader.h"
+#include "llama-ext.h"
 
+#include <algorithm>
 #include <cmath>
 #include <cstring>
-#include <string>
 #include <cinttypes>
 #include <fstream>
 #include <mutex>
@@ -84,7 +84,6 @@ static std::string remap_imatrix(const std::string & orig_name, const std::map<i
 
         for (const auto & p : mapped) {
             if (p.second == blk) {
-                LLAMA_LOG_DEBUG("(blk.%d imatrix) ", p.first);
                 return new_name.replace(match.position(1), match.length(1), std::to_string(p.first));
             }
         }
@@ -188,10 +187,9 @@ struct quantize_state_impl {
         model(model), params(params)
     {
         // compile regex patterns once - they are expensive
-        if (params->tensor_types) {
-            const auto & tensor_types = *static_cast<const std::vector<tensor_type_option> *>(params->tensor_types);
-            for (const auto & [tname, qtype] : tensor_types) {
-                tensor_type_patterns.emplace_back(std::regex(tname), qtype);
+        if (params->tt_overrides) {
+            for (const auto * p = params->tt_overrides; p->pattern != nullptr; p++) {
+                tensor_type_patterns.emplace_back(std::regex(p->pattern), p->type);
             }
         }
     }
@@ -199,6 +197,7 @@ struct quantize_state_impl {
 
 // per-tensor metadata, computed in the preliminary loop and used in the main loop
 struct tensor_metadata {
+    std::string     name;
     ggml_type       target_type;
     tensor_category category;
     std::string     remapped_imatrix_name;
@@ -344,7 +343,13 @@ static bool tensor_allows_quantization(const llama_model_quantize_params * param
     quantize &= name.find("attn_rel_b.weight") == std::string::npos;
 
     // do not quantize specific multimodal tensors
-    quantize &= name.find(".position_embd.") == std::string::npos;
+    quantize &= name.find(".position_embd") == std::string::npos;
+    quantize &= name.find("sam.pos_embd")   == std::string::npos;
+    quantize &= name.find("sam.neck.")      == std::string::npos;
+    quantize &= name.find("sam.net_")       == std::string::npos;
+    quantize &= name.find(".rel_pos")       == std::string::npos;
+    quantize &= name.find(".patch_embd")    == std::string::npos;
+    quantize &= name.find(".patch_merger")  == std::string::npos;
 
     return quantize;
 }
@@ -784,7 +789,7 @@ static bool tensor_requires_imatrix(const char * tensor_name, const ggml_type ds
 // given a file type, get the default tensor type
 //
 
-static ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
+ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
     switch (ftype) {
         case LLAMA_FTYPE_MOSTLY_Q4_0: return GGML_TYPE_Q4_0;
         case LLAMA_FTYPE_MOSTLY_Q4_1: return GGML_TYPE_Q4_1;
@@ -794,6 +799,7 @@ static ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
         case LLAMA_FTYPE_MOSTLY_F16:  return GGML_TYPE_F16;
         case LLAMA_FTYPE_MOSTLY_BF16: return GGML_TYPE_BF16;
         case LLAMA_FTYPE_ALL_F32:     return GGML_TYPE_F32;
+        case LLAMA_FTYPE_MOSTLY_Q1_0: return GGML_TYPE_Q1_0;
 
         case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return GGML_TYPE_MXFP4;
 
@@ -823,16 +829,32 @@ static ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
         case LLAMA_FTYPE_MOSTLY_IQ3_S:
         case LLAMA_FTYPE_MOSTLY_IQ3_M:   return GGML_TYPE_IQ3_S;
 
-        default: throw std::runtime_error(format("invalid output file type %d\n", ftype));
+        default: return GGML_TYPE_COUNT;
     }
 }
 
+
+static void init_quantize_state_counters(quantize_state_impl & qs, std::vector<tensor_metadata> & metadata) {
+    for (auto & tm : metadata) {
+        tensor_category cat = tensor_get_category(tm.name);
+        tm.category = cat;
+
+        if (category_is_attn_v(cat)) {
+            ++qs.n_attention_wv;
+        }
+
+        if (cat == tensor_category::OUTPUT) {
+            qs.has_tied_embeddings = false;
+        }
+    }
+    qs.n_ffn_down = qs.n_ffn_gate = qs.n_ffn_up = (int)qs.model.hparams.n_layer;
+}
+
 //
 // main quantization driver
 //
 
 static void llama_model_quantize_impl(const std::string & fname_inp, const std::string & fname_out, const llama_model_quantize_params * params) {
-    ggml_type default_type;
     llama_ftype ftype = params->ftype;
 
     int nthread = params->nthread;
@@ -841,7 +863,10 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         nthread = std::thread::hardware_concurrency();
     }
 
-    default_type = llama_ftype_get_default_type(ftype);
+    ggml_type default_type = llama_ftype_get_default_type(ftype);
+    if (default_type == GGML_TYPE_COUNT) {
+        throw std::runtime_error(format("invalid output file type %d\n", ftype));
+    }
 
     // mmap consistently increases speed on Linux, and also increases speed on Windows with
     // hot cache. It may cause a slowdown on macOS, possibly related to free memory.
@@ -851,15 +876,10 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     constexpr bool use_mmap = false;
 #endif
 
-    llama_model_kv_override * kv_overrides = nullptr;
-    if (params->kv_overrides) {
-        auto * v = (std::vector<llama_model_kv_override>*)params->kv_overrides;
-        kv_overrides = v->data();
-    }
-
+    const llama_model_kv_override * kv_overrides = params->kv_overrides;
     std::vector<std::string> splits = {};
     llama_model_loader ml(/*metadata*/ nullptr, /*set_tensor_data*/ nullptr, /*set_tensor_data_ud*/ nullptr,
-        fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr);
+        fname_inp, splits, /*file*/ nullptr, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr);
     ml.init_mappings(false); // no prefetching
 
     llama_model model(llama_model_default_params());
@@ -873,9 +893,13 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     if (params->only_copy) {
         ftype = ml.ftype;
     }
+    std::unordered_map<std::string, std::vector<float>> i_data;
     const std::unordered_map<std::string, std::vector<float>> * imatrix_data = nullptr;
     if (params->imatrix) {
-        imatrix_data = static_cast<const std::unordered_map<std::string, std::vector<float>>*>(params->imatrix);
+        for (const llama_model_imatrix_data * p = params->imatrix; p->name != nullptr; p++) {
+            i_data.emplace(p->name, std::vector<float>(p->data, p->data + p->size));
+        }
+        imatrix_data = & i_data;
         if (imatrix_data) {
             LLAMA_LOG_INFO("\n%s: have importance matrix data with %d entries\n",
                            __func__, (int)imatrix_data->size());
@@ -896,7 +920,9 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
 
     std::vector<int> prune_list = {};
     if (params->prune_layers) {
-        prune_list = *static_cast<const std::vector<int> *>(params->prune_layers);
+        for (const int32_t * p = params->prune_layers; * p != -1; p++) {
+            prune_list.push_back(* p);
+        }
     }
 
     // copy the KV pairs from the input file
@@ -910,20 +936,18 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     gguf_remove_key(ctx_out.get(), ml.llm_kv(LLM_KV_SPLIT_TENSORS_COUNT).c_str());
 
     if (params->kv_overrides) {
-        const std::vector<llama_model_kv_override> & overrides = *(const std::vector<llama_model_kv_override> *)params->kv_overrides;
-        for (const auto & o : overrides) {
-            if (o.key[0] == 0) break;
-            if (o.tag == LLAMA_KV_OVERRIDE_TYPE_FLOAT) {
-                gguf_set_val_f32(ctx_out.get(), o.key, o.val_f64);
-            } else if (o.tag == LLAMA_KV_OVERRIDE_TYPE_INT) {
+        for (const llama_model_kv_override * o = params->kv_overrides; o->key[0] != 0; ++o) {
+            if (o->tag == LLAMA_KV_OVERRIDE_TYPE_FLOAT) {
+                gguf_set_val_f32(ctx_out.get(), o->key, o->val_f64);
+            } else if (o->tag == LLAMA_KV_OVERRIDE_TYPE_INT) {
                 // Setting type to UINT32. See https://github.com/ggml-org/llama.cpp/pull/14182 for context
-                gguf_set_val_u32(ctx_out.get(), o.key, (uint32_t)std::abs(o.val_i64));
-            } else if (o.tag == LLAMA_KV_OVERRIDE_TYPE_BOOL) {
-                gguf_set_val_bool(ctx_out.get(), o.key, o.val_bool);
-            } else if (o.tag == LLAMA_KV_OVERRIDE_TYPE_STR) {
-                gguf_set_val_str(ctx_out.get(), o.key, o.val_str);
+                gguf_set_val_u32(ctx_out.get(), o->key, (uint32_t)std::abs(o->val_i64));
+            } else if (o->tag == LLAMA_KV_OVERRIDE_TYPE_BOOL) {
+                gguf_set_val_bool(ctx_out.get(), o->key, o->val_bool);
+            } else if (o->tag == LLAMA_KV_OVERRIDE_TYPE_STR) {
+                gguf_set_val_str(ctx_out.get(), o->key, o->val_str);
             } else {
-                LLAMA_LOG_WARN("%s: unknown KV override type for key %s\n", __func__, o.key);
+                LLAMA_LOG_WARN("%s: unknown KV override type for key %s\n", __func__, o->key);
             }
         }
     }
@@ -961,6 +985,15 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         });
     }
 
+    // compute tensor metadata once and cache it
+    std::vector<tensor_metadata> metadata(tensors.size());
+    for (size_t i = 0; i < tensors.size(); ++i) {
+        metadata[i].name = ggml_get_name(tensors[i]->tensor);
+    }
+
+    // initialize quantization state counters and metadata categories
+    init_quantize_state_counters(qs, metadata);
+
     int idx = 0;
     uint16_t n_split = 1;
 
@@ -973,25 +1006,6 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     std::vector<gguf_context_ptr> ctx_outs(n_split);
     ctx_outs[0] = std::move(ctx_out);
 
-    // compute tensor metadata once and cache it
-    std::vector<tensor_metadata> metadata(tensors.size());
-
-    // initialize quantization state before preliminary loop (counters for use_more_bits)
-    {
-        for (size_t i = 0; i < tensors.size(); ++i) {
-            const auto cat = tensor_get_category(tensors[i]->tensor->name);
-            if (category_is_attn_v(cat)) {
-                ++qs.n_attention_wv;
-            }
-            if (cat == tensor_category::OUTPUT) {
-                qs.has_tied_embeddings = false;
-            }
-            metadata[i].category = cat; // save and re-use the category while we're at it
-        }
-        // these also need to be set to n_layer by default
-        qs.n_ffn_down = qs.n_ffn_gate = qs.n_ffn_up = (int)qs.model.hparams.n_layer;
-    }
-
     // flag for --dry-run
     bool will_require_imatrix = false;
 
@@ -1002,7 +1016,6 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     for (size_t i = 0; i < tensors.size(); ++i) {
         const auto * it = tensors[i];
         const struct ggml_tensor * tensor = it->tensor;
-        const std::string name = ggml_get_name(tensor);
 
         uint16_t i_split = params->keep_split ? it->idx : 0;
         if (!ctx_outs[i_split]) {
@@ -1031,7 +1044,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
                                 "        - offending tensor: %s\n"
                                 "        - target type: %s\n"
                                 "============================================================================\n\n",
-                                name.c_str(), ggml_type_name(metadata[i].target_type));
+                                metadata[i].name.c_str(), ggml_type_name(metadata[i].target_type));
                 throw std::runtime_error("this quantization requires an imatrix!");
             }
         }
@@ -1104,7 +1117,6 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
             new_ofstream(weight.idx);
         }
 
-        const std::string name = ggml_get_name(tensor);
         const size_t tensor_size = ggml_nbytes(tensor);
 
         if (!params->dry_run) {
@@ -1235,9 +1247,9 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
             total_size_new += new_size;
 
             // update the gguf meta data as we go
-            gguf_set_tensor_type(ctx_outs[cur_split].get(), name.c_str(), new_type);
-            GGML_ASSERT(gguf_get_tensor_size(ctx_outs[cur_split].get(), gguf_find_tensor(ctx_outs[cur_split].get(), name.c_str())) == new_size);
-            gguf_set_tensor_data(ctx_outs[cur_split].get(), name.c_str(), new_data);
+            gguf_set_tensor_type(ctx_outs[cur_split].get(), metadata[i].name.c_str(), new_type);
+            GGML_ASSERT(gguf_get_tensor_size(ctx_outs[cur_split].get(), gguf_find_tensor(ctx_outs[cur_split].get(), metadata[i].name.c_str())) == new_size);
+            gguf_set_tensor_data(ctx_outs[cur_split].get(), metadata[i].name.c_str(), new_data);
 
             // write tensor data + padding
             fout.write((const char *) new_data, new_size);
@@ -1302,3 +1314,89 @@ uint32_t llama_model_quantize(
 
     return 0;
 }
+
+//
+// Helper functions for external tools exposed in llama-ext.h
+//
+
+quantize_state_impl * llama_quant_init(
+        const llama_model * model,
+        const llama_model_quantize_params * params) {
+    return new quantize_state_impl(*model, params);
+}
+
+void llama_quant_free(quantize_state_impl * qs) {
+    delete qs;
+}
+
+llama_model * llama_quant_model_from_metadata(const llama_quant_model_desc * desc) {
+    struct llama_model_params mparams = llama_model_default_params();
+    auto * model = new llama_model(mparams);
+
+    model->arch = llm_arch_from_string(desc->architecture);
+
+    // infer llm_type: only LLM_TYPE_70B matters for quantization logic
+    if (model->arch == LLM_ARCH_LLAMA && desc->n_layer == 80 && desc->n_head != desc->n_head_kv) {
+        model->type = LLM_TYPE_70B;
+    }
+
+    model->hparams.n_embd             = desc->n_embd;
+    model->hparams.n_embd_head_k_full = desc->n_embd_head_k;
+    model->hparams.n_embd_head_v_full = desc->n_embd_head_v;
+    model->hparams.n_layer            = desc->n_layer;
+    model->hparams.n_expert           = desc->n_expert;
+
+    for (uint32_t i = 0; i < desc->n_layer; i++) {
+        model->hparams.n_head_arr[i]    = desc->n_head;
+        model->hparams.n_head_kv_arr[i] = desc->n_head_kv;
+        model->hparams.n_ff_arr[i]      = desc->n_ff;
+    }
+
+    return model;
+}
+
+bool llama_quant_tensor_allows_quantization(
+        const quantize_state_impl * qs,
+        const ggml_tensor * tensor) {
+    return tensor_allows_quantization(qs->params, qs->model.arch, tensor);
+}
+
+void llama_quant_compute_types(
+        quantize_state_impl * qs,
+        llama_ftype ftype,
+        ggml_tensor ** tensors,
+        ggml_type * result_types,
+        size_t n_tensors) {
+    // reset per-computation state
+    qs->n_attention_wv      = 0;
+    qs->n_ffn_down          = 0;
+    qs->n_ffn_gate          = 0;
+    qs->n_ffn_up            = 0;
+    qs->i_attention_wv      = 0;
+    qs->i_ffn_down          = 0;
+    qs->i_ffn_gate          = 0;
+    qs->i_ffn_up            = 0;
+    qs->n_fallback          = 0;
+    qs->has_imatrix         = false;
+    qs->has_tied_embeddings = true;
+
+    // build metadata from tensor names
+    std::vector<tensor_metadata> metadata(n_tensors);
+    for (size_t i = 0; i < n_tensors; i++) {
+        metadata[i].name = ggml_get_name(tensors[i]);
+    }
+
+    // initialize counters and categories
+    init_quantize_state_counters(*qs, metadata);
+
+    // use a local copy of params with the requested ftype
+    llama_model_quantize_params local_params = *qs->params;
+    local_params.ftype = ftype;
+
+    ggml_type default_type = llama_ftype_get_default_type(ftype);
+
+    // compute types
+    for (size_t i = 0; i < n_tensors; i++) {
+        result_types[i] = llama_tensor_get_type(*qs, &local_params, tensors[i], default_type, metadata[i]);
+    }
+}
diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp
index 68ba292d426f302a5d11cfa16a1d5dbacd42ca42..163f222ef612e07cc685c47fb7f07bf082a241c4 100644
--- a/src/llama-vocab.cpp
+++ b/src/llama-vocab.cpp
@@ -493,6 +493,16 @@ struct llm_tokenizer_bpe : llm_tokenizer {
                     "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?(?:\\p{L}\\p{M}*(?: \\p{L}\\p{M}*)*)+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n/]?|\\s*[\\r\\n]|\\s+(?!\\S)|\\s+",
                 };
                 break;
+            case LLAMA_VOCAB_PRE_TYPE_GEMMA4:
+                // Gemma4 uses SPM-style BPE: spaces are replaced with ▁ by the
+                // normalizer, then BPE merges run on the whole text without
+                // word-level pre-splitting. We only need to split on newlines
+                // since BPE merge lookup asserts no newlines in tokens.
+                regex_exprs = {
+                    "[^\\n]+|[\\n]+",
+                };
+                byte_encode = false; // uses raw UTF-8, not GPT-2 byte encoding
+                break;
             default:
                 // default regex for BPE tokenization pre-processing
                 regex_exprs = {
@@ -506,6 +516,7 @@ struct llm_tokenizer_bpe : llm_tokenizer {
     }
 
     std::vector<std::string> regex_exprs;
+    bool byte_encode = true; // GPT-2 byte encoding; false for SPM-style BPE (raw UTF-8)
 };
 
 struct llm_tokenizer_bpe_session {
@@ -550,9 +561,10 @@ struct llm_tokenizer_bpe_session {
 
     void tokenize(const std::string & text, std::vector<llama_token> & output) {
         int final_prev_index = -1;
-        const auto word_collection = unicode_regex_split(text, tokenizer.regex_exprs);
+        const auto word_collection = unicode_regex_split(text, tokenizer.regex_exprs, tokenizer.byte_encode);
 
         symbols_final.clear();
+        auto tok_pre = vocab.get_pre_type();
 
         for (const auto & word : word_collection) {
             work_queue = llm_bigram_bpe::queue();
@@ -565,6 +577,13 @@ struct llm_tokenizer_bpe_session {
             if (vocab.get_ignore_merges() && vocab.text_to_token(word) != LLAMA_TOKEN_NULL) {
                 symbols.emplace_back(llm_symbol{-1, -1, word.c_str(), word.size()});
                 offset = word.size();
+            } else if (tok_pre == LLAMA_VOCAB_PRE_TYPE_GEMMA4 && word.find_first_not_of('\n') == std::string::npos) {
+                // fix for gemma 4, ref: https://github.com/ggml-org/llama.cpp/pull/21343
+                auto tok = vocab.text_to_token(word);
+                if (tok != LLAMA_TOKEN_NULL) {
+                    symbols.emplace_back(llm_symbol{-1, -1, word.c_str(), word.size()});
+                    offset = word.size();
+                }
             }
 
             while (offset < word.size()) {
@@ -640,8 +659,17 @@ struct llm_tokenizer_bpe_session {
 
                 if (token == LLAMA_TOKEN_NULL) {
                     for (auto j = str.begin(); j != str.end(); ++j) {
-                        std::string byte_str(1, *j);
-                        auto token_multibyte = vocab.text_to_token(byte_str);
+                        llama_token token_multibyte = LLAMA_TOKEN_NULL;
+                        if (tokenizer.byte_encode) {
+                            std::string byte_str(1, *j);
+                            token_multibyte = vocab.text_to_token(byte_str);
+                        } else {
+                            // For non-byte-encoded BPE (e.g. gemma-4), byte tokens use <0xXX> format
+                            static const char * hex = "0123456789ABCDEF";
+                            const uint8_t ch = (uint8_t)*j;
+                            const char buf[7] = { '<', '0', 'x', hex[ch >> 4], hex[ch & 15], '>', 0 };
+                            token_multibyte = vocab.text_to_token(buf);
+                        }
                         if (token_multibyte != LLAMA_TOKEN_NULL) {
                             output.push_back(token_multibyte);
                         }
@@ -1863,6 +1891,42 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
             special_sep_id = LLAMA_TOKEN_NULL;
             special_pad_id = 3;  // <|plamo:pad|>
             special_mask_id = LLAMA_TOKEN_NULL;
+        } else if (tokenizer_model == "gemma4") {
+            type = LLAMA_VOCAB_TYPE_BPE;
+
+            // read bpe merges and populate bpe ranks
+            const int merges_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_MERGES).c_str());
+            if (merges_keyidx == -1) {
+                throw std::runtime_error("cannot find tokenizer merges in model file\n");
+            }
+            {
+                const int n_merges = gguf_get_arr_n(ctx, merges_keyidx);
+                for (int i = 0; i < n_merges; i++) {
+                    const std::string word = gguf_get_arr_str(ctx, merges_keyidx, i);
+
+                    std::string first;
+                    std::string second;
+
+                    const size_t pos = word.find(' ', 1);
+
+                    if (pos != std::string::npos) {
+                        first  = word.substr(0, pos);
+                        second = word.substr(pos + 1);
+                    }
+
+                    bpe_ranks.emplace(std::make_pair(first, second), i);
+                }
+            }
+
+            // default special tokens (to be read from GGUF)
+            special_bos_id  = LLAMA_TOKEN_NULL;
+            special_eos_id  = LLAMA_TOKEN_NULL;
+            special_unk_id  = LLAMA_TOKEN_NULL;
+            special_sep_id  = LLAMA_TOKEN_NULL;
+            special_pad_id  = LLAMA_TOKEN_NULL;
+            special_mask_id = LLAMA_TOKEN_NULL;
+
+            tokenizer_pre = "gemma4";
         } else {
             throw std::runtime_error(format("unknown tokenizer: '%s'", tokenizer_model.c_str()));
         }
@@ -1870,6 +1934,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
         // for now, only BPE models have pre-tokenizers
         if (type == LLAMA_VOCAB_TYPE_BPE) {
             add_space_prefix = false;
+            escape_whitespaces = false;
             clean_spaces = true;
             if (tokenizer_pre.empty()) {
                 LLAMA_LOG_WARN("%s: missing pre-tokenizer type, using: 'default'\n", __func__);
@@ -1936,6 +2001,10 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
             } else if (
                     tokenizer_pre == "jais-2") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_JAIS2;
+            } else if (
+                    tokenizer_pre == "gemma4") {
+                pre_type = LLAMA_VOCAB_PRE_TYPE_GEMMA4;
+                escape_whitespaces = true;
             } else if (
                     tokenizer_pre == "jina-v1-en" ||
                     tokenizer_pre == "jina-v2-code" ||
@@ -1952,7 +2021,8 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
             } else if (
                     tokenizer_pre == "qwen2" ||
                     tokenizer_pre == "deepseek-r1-qwen" ||
-                    tokenizer_pre == "kormo") {
+                    tokenizer_pre == "kormo" ||
+                    tokenizer_pre == "f2llmv2") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_QWEN2;
                 clean_spaces = false;
             } else if (
@@ -2129,19 +2199,28 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
         throw std::runtime_error("cannot find tokenizer vocab in model file\n");
     }
 
+    const uint32_t n_tokens = gguf_get_arr_n(ctx, token_idx);
+
     const float * scores = nullptr;
     const int score_idx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_SCORES).c_str());
     if (score_idx != -1) {
+        const uint32_t n_scores = gguf_get_arr_n(ctx, score_idx);
+        if (n_scores < n_tokens) {
+            throw std::runtime_error("Index out of array bounds for scores (" + std::to_string(n_scores) + " < " + std::to_string(n_tokens) + ")\n");
+        }
         scores = (const float * ) gguf_get_arr_data(ctx, score_idx);
     }
 
     const int * toktypes = nullptr;
     const int toktype_idx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_TOKEN_TYPE).c_str());
     if (toktype_idx != -1) {
+        const uint32_t n_toktypes = gguf_get_arr_n(ctx, toktype_idx);
+        if (n_toktypes < n_tokens) {
+            throw std::runtime_error("Index out of array bounds for toktypes (" + std::to_string(n_toktypes) + " < " + std::to_string(n_tokens) + ")\n");
+        }
         toktypes = (const int * ) gguf_get_arr_data(ctx, toktype_idx);
     }
 
-    uint32_t n_tokens = gguf_get_arr_n(ctx, token_idx);
     id_to_token.resize(n_tokens);
 
     for (uint32_t i = 0; i < n_tokens; i++) {
@@ -2255,6 +2334,14 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
             if (ml.get_key(LLM_KV_TOKENIZER_ADD_SEP, temp, false)) {
                 add_sep = temp;
             }
+
+            // workaround for Gemma 4
+            // ref: https://github.com/ggml-org/llama.cpp/pull/21500
+            if (pre_type == LLAMA_VOCAB_PRE_TYPE_GEMMA4 && !add_bos) {
+                add_bos = true;
+
+                LLAMA_LOG_WARN("%s: override '%s' to 'true' for Gemma4\n", __func__, kv(LLM_KV_TOKENIZER_ADD_BOS).c_str());
+            }
         }
 
         // auto-detect special tokens by text
@@ -2480,6 +2567,10 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                     || t.first == "[EOS]" // Kimi-K2
                     || t.first == "<|end_of_text|>"
                     || t.first == "<end_of_utterance>" // smoldocling
+                    || t.first == "<eos>"            // gemma4
+                    || t.first == "<turn|>"          // gemma4
+                    || t.first == "<|tool_response>" // gemma4
+                    || t.first == "<｜end▁of▁sentence｜>" // deepseek-ocr
                ) {
                 special_eog_ids.insert(t.second);
                 if ((attr & LLAMA_TOKEN_ATTR_CONTROL) == 0) {
@@ -2564,6 +2655,33 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                 LLAMA_LOG_WARN("%s: special_eog_ids contains both '<|return|>' and '<|call|>', or '<|calls|>' and '<|flush|>' tokens, removing '<|end|>' token from EOG list\n", __func__);
             }
         }
+
+        // workaround for gemma4 and paddleocr: do not include </s> as an eog token
+        {
+            bool has_tool_response = false;
+            bool has_s = false;
+
+            llama_token s_id = LLAMA_TOKEN_NULL;
+
+            for (auto tid : special_eog_ids) {
+                const auto & text = id_to_token[tid].text;
+                if (text == "<|tool_response>") {
+                    has_tool_response = true;
+                } else if (text == "</s>") {
+                    has_s = true;
+                    s_id = tid;
+                }
+            }
+
+            if (has_tool_response && has_s) {
+                special_eog_ids.erase(s_id);
+
+                auto & attr = id_to_token[s_id].attr;
+                attr = LLAMA_TOKEN_ATTR_NORMAL;
+
+                LLAMA_LOG_WARN("%s: special_eog_ids contains '<|tool_response>', removing '</s>' token from EOG list\n", __func__);
+            }
+        }
     }
 
     // build special tokens cache
@@ -2732,7 +2850,9 @@ uint8_t llama_vocab::impl::token_to_byte(llama_token id) const {
             return strtol(buf.c_str(), NULL, 16);
         }
         case LLAMA_VOCAB_TYPE_BPE: {
-            GGML_ABORT("fatal error");
+            // Gemma4 uses BPE with SPM-style byte fallback tokens (<0xXX>)
+            auto buf = token_data.text.substr(3, 2);
+            return strtol(buf.c_str(), NULL, 16);
         }
         case LLAMA_VOCAB_TYPE_WPM: {
             GGML_ABORT("fatal error");
@@ -3021,6 +3141,10 @@ std::vector<llama_token> llama_vocab::impl::tokenize(
                     if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) {
                         std::string text = fragment.raw_text.substr(fragment.offset, fragment.length);
 
+                        if (escape_whitespaces) {
+                            llama_escape_whitespace(text);
+                        }
+
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("TT: (%ld %ld %ld) '%s'\n", text.length(), fragment.offset, fragment.length, text.c_str());
 #endif
@@ -3200,9 +3324,19 @@ int32_t llama_vocab::impl::token_to_piece(llama_token token, char * buf, int32_t
                     return _try_copy(token_text.data(), token_text.size());
                 }
                 if (attr & LLAMA_TOKEN_ATTR_NORMAL) {
+                    if (escape_whitespaces) {
+                        // SPM-style BPE: tokens contain ▁ for spaces
+                        std::string result = token_text;
+                        llama_unescape_whitespace(result);
+                        return _try_copy(result.data(), result.size());
+                    }
                     std::string result = llama_decode_text(token_text);
                     return _try_copy(result.data(), result.size());
                 }
+                if (attr & LLAMA_TOKEN_ATTR_BYTE) {
+                    char byte = (char) token_to_byte(token);
+                    return _try_copy((char*) &byte, 1);
+                }
                 break;
             }
             case LLAMA_VOCAB_TYPE_RWKV: {
@@ -3630,9 +3764,7 @@ int llama_vocab::max_token_len() const {
 
 int llama_vocab::find_bpe_rank(const std::string & token_left, const std::string & token_right) const {
     GGML_ASSERT(token_left.find(' ')   == std::string::npos);
-    GGML_ASSERT(token_left.find('\n')  == std::string::npos);
     GGML_ASSERT(token_right.find(' ')  == std::string::npos);
-    GGML_ASSERT(token_right.find('\n') == std::string::npos);
 
     auto it = pimpl->bpe_ranks.find(std::make_pair(token_left, token_right));
     if (it == pimpl->bpe_ranks.end()) {
diff --git a/src/llama-vocab.h b/src/llama-vocab.h
index be5b08012df1e38985d79090c0fa005c9b8a7a58..dd38f45d3a2232a9d9777baf5c8e69aaeca2fe1c 100644
--- a/src/llama-vocab.h
+++ b/src/llama-vocab.h
@@ -58,6 +58,7 @@ enum llama_vocab_pre_type {
     LLAMA_VOCAB_PRE_TYPE_TINY_AYA        = 47,
     LLAMA_VOCAB_PRE_TYPE_JOYAI_LLM       = 48,
     LLAMA_VOCAB_PRE_TYPE_JAIS2           = 49,
+    LLAMA_VOCAB_PRE_TYPE_GEMMA4          = 50,
 };
 
 struct LLM_KV;
diff --git a/src/llama.cpp b/src/llama.cpp
index 872e659edcaf734b51cb9bc2dca5a2b5413d330f..e9c3028585d4397698dfbb0649560556026512c7 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -1,6 +1,5 @@
 #include "llama.h"
 
-#include "ggml-cpp.h"
 #include "llama-impl.h"
 
 #include "llama-chat.h"
@@ -12,6 +11,7 @@
 #include "llama-model.h"
 
 #include "ggml.h"
+#include "ggml-cpp.h"
 #include "ggml-backend.h"
 #include "gguf.h"
 
@@ -24,6 +24,7 @@
 #include <cstring>
 #include <ctime>
 #include <stdexcept>
+#include <vector>
 
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
@@ -45,722 +46,6 @@ const char * llama_flash_attn_type_name(enum llama_flash_attn_type flash_attn_ty
     GGML_ABORT("fatal error");
 }
 
-struct llama_device_memory_data {
-    int64_t total;
-    int64_t free;
-    llama_memory_breakdown_data mb;
-};
-
-static std::vector<llama_device_memory_data> llama_get_device_memory_data(
-        const char * path_model, const llama_model_params * mparams, const llama_context_params * cparams,
-        std::vector<ggml_backend_dev_t> & devs, uint32_t & hp_ngl, uint32_t & hp_n_ctx_train, uint32_t & hp_n_expert,
-        const ggml_log_level log_level) {
-    struct user_data_t {
-        struct {
-            ggml_log_callback callback;
-            void * user_data;
-        } original_logger;
-        ggml_log_level min_level; // prints below this log level go to debug log
-    };
-    user_data_t ud;
-    llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data);
-    ud.min_level = log_level;
-
-    llama_log_set([](ggml_log_level level, const char * text, void * user_data) {
-        const user_data_t * ud = (const user_data_t *) user_data;
-        const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG;
-        ud->original_logger.callback(level_eff, text, ud->original_logger.user_data);
-    }, &ud);
-
-    llama_model_params mparams_copy = *mparams;
-    mparams_copy.no_alloc  = true;
-    mparams_copy.use_mmap  = false;
-    mparams_copy.use_mlock = false;
-
-    llama_model * model = llama_model_load_from_file(path_model, mparams_copy);
-    if (model == nullptr) {
-        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
-        throw std::runtime_error("failed to load model");
-    }
-
-    llama_context * ctx = llama_init_from_model(model, *cparams);
-    if (ctx == nullptr) {
-        llama_model_free(model);
-        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
-        throw std::runtime_error("failed to create llama_context from model");
-    }
-
-    std::vector<llama_device_memory_data> ret(model->devices.size());
-
-    std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> memory_breakdown = ctx->memory_breakdown();
-
-    for (const auto & [buft, mb] : memory_breakdown) {
-        if (ggml_backend_buft_is_host(buft)) {
-            continue;
-        }
-
-        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
-        if (!dev) {
-            continue;
-        }
-        for (size_t i = 0; i < ret.size(); i++) {
-            if (model->devices[i] == dev) {
-                ret[i].mb.model   += mb.model;
-                ret[i].mb.context += mb.context;
-                ret[i].mb.compute += mb.compute;
-                break;
-            }
-        }
-    }
-    for (size_t i = 0; i < ret.size(); i++) {
-        size_t free;
-        size_t total;
-        ggml_backend_dev_memory(model->devices[i], &free, &total);
-
-        // devices can return 0 bytes for free and total memory if they do not
-        // have any to report. in this case, we will use the host memory as a fallback
-        // fixes: https://github.com/ggml-org/llama.cpp/issues/18577
-        if (free == 0 && total == 0) {
-            ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
-            if (cpu_dev == nullptr) {
-                throw std::runtime_error(format("%s: no CPU backend found", __func__));
-            }
-            ggml_backend_dev_memory(cpu_dev, &free, &total);
-        }
-        ret[i].free  = free;
-        ret[i].total = total;
-    }
-
-    devs           = model->devices;
-    hp_ngl         = model->hparams.n_layer;
-    hp_n_ctx_train = model->hparams.n_ctx_train;
-    hp_n_expert    = model->hparams.n_expert;
-
-    llama_memory_breakdown_print(ctx); // goes to debug log
-
-    llama_free(ctx);
-    llama_model_free(model);
-    llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
-    return ret;
-}
-
-// enum to identify part of a layer for distributing its tensors:
-enum layer_fraction_t {
-    LAYER_FRACTION_NONE = 0, // nothing
-    LAYER_FRACTION_ATTN = 1, // attention
-    LAYER_FRACTION_UP   = 2, // attention + up
-    LAYER_FRACTION_GATE = 3, // attention + up + gate
-    LAYER_FRACTION_MOE  = 4, // everything but sparse MoE weights
-};
-// this enum is only used in llama_params_fit_impl but needs to be defined outside of it to fix a Windows compilation issue
-
-class llama_params_fit_exception : public std::runtime_error {
-    using std::runtime_error::runtime_error;
-};
-
-static void llama_params_fit_impl(
-        const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
-        float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
-        size_t * margins_s, uint32_t n_ctx_min, enum ggml_log_level log_level) {
-    constexpr int64_t MiB = 1024*1024;
-    typedef std::vector<llama_device_memory_data> dmds_t;
-    const llama_model_params default_mparams = llama_model_default_params();
-
-    std::vector<ggml_backend_dev_t> devs;
-    uint32_t hp_ngl = 0; // hparams.n_gpu_layers
-    uint32_t hp_nct = 0; // hparams.n_ctx_train
-    uint32_t hp_nex = 0; // hparams.n_expert
-
-    // step 1: get data for default parameters and check whether any changes are necessary in the first place
-
-    LLAMA_LOG_DEBUG("%s: getting device memory data for initial parameters:\n", __func__);
-    const dmds_t dmds_full = llama_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-    const size_t nd = devs.size(); // number of devices
-    if (nd == 0) {
-        LLAMA_LOG_INFO("%s: no devices with dedicated memory found\n", __func__);
-        return;
-    }
-
-    std::vector<int64_t> margins; // this function uses int64_t rather than size_t for memory sizes to more conveniently handle deficits
-    margins.reserve(nd);
-    for (size_t id = 0; id < nd; id++) {
-        margins.push_back(margins_s[id]);
-    }
-
-    std::vector<std::string> dev_names;
-    {
-        dev_names.reserve(nd);
-        size_t max_length = 0;
-        for (ggml_backend_dev_t dev : devs) {
-            std::string name = ggml_backend_dev_name(dev);
-            name += " (";
-            name += ggml_backend_dev_description(dev);
-            name += ")";
-            dev_names.push_back(name);
-            max_length = std::max(max_length, name.length());
-        }
-        for (std::string & dn : dev_names) {
-            dn.insert(dn.end(), max_length - dn.length(), ' ');
-        }
-    }
-
-    int64_t sum_free            = 0;
-    int64_t sum_projected_free  = 0;
-    int64_t sum_projected_used  = 0;
-    int64_t sum_projected_model = 0;
-    std::vector<int64_t> projected_free_per_device;
-    projected_free_per_device.reserve(nd);
-
-    if (nd > 1) {
-        LLAMA_LOG_INFO("%s: projected memory use with initial parameters [MiB]:\n", __func__);
-    }
-    for (size_t id = 0; id < nd; id++) {
-        const llama_device_memory_data & dmd = dmds_full[id];
-
-        const int64_t projected_used = dmd.mb.total();
-        const int64_t projected_free = dmd.free - projected_used;
-        projected_free_per_device.push_back(projected_free);
-
-        sum_free            += dmd.free;
-        sum_projected_used  += projected_used;
-        sum_projected_free  += projected_free;
-        sum_projected_model += dmd.mb.model;
-
-        if (nd > 1) {
-            LLAMA_LOG_INFO("%s:   - %s: %6" PRId64 " total, %6" PRId64 " used, %6" PRId64 " free vs. target of %6" PRId64 "\n",
-                __func__, dev_names[id].c_str(), dmd.total/MiB, projected_used/MiB, projected_free/MiB, margins[id]/MiB);
-        }
-    }
-    assert(sum_free >= 0 && sum_projected_used >= 0);
-    LLAMA_LOG_INFO("%s: projected to use %" PRId64 " MiB of device memory vs. %" PRId64 " MiB of free device memory\n",
-        __func__, sum_projected_used/MiB, sum_free/MiB);
-    if (nd == 1) {
-        if (projected_free_per_device[0] >= margins[0]) {
-            LLAMA_LOG_INFO("%s: will leave %" PRId64 " >= %" PRId64 " MiB of free device memory, no changes needed\n",
-                __func__, projected_free_per_device[0]/MiB, margins[0]/MiB);
-            return;
-        }
-    } else {
-        bool changes_needed = false;
-        for (size_t id = 0; id < nd; id++) {
-            if (projected_free_per_device[id] < margins[id]) {
-                changes_needed = true;
-                break;
-            }
-        }
-        if (!changes_needed) {
-            LLAMA_LOG_INFO("%s: targets for free memory can be met on all devices, no changes needed\n", __func__);
-            return;
-        }
-    }
-
-    // step 2: try reducing memory use by reducing the context size
-
-    {
-        int64_t global_surplus = sum_projected_free;
-        for (size_t id = 0; id < nd; id++) {
-            global_surplus -= margins[id];
-        }
-        if (global_surplus < 0) {
-            if (nd == 1) {
-                LLAMA_LOG_INFO("%s: cannot meet free memory target of %" PRId64 " MiB, need to reduce device memory by %" PRId64 " MiB\n",
-                    __func__, margins[0]/MiB, -global_surplus/MiB);
-            } else {
-                LLAMA_LOG_INFO(
-                    "%s: cannot meet free memory targets on all devices, need to use %" PRId64 " MiB less in total\n",
-                    __func__, -global_surplus/MiB);
-            }
-            if (cparams->n_ctx == 0) {
-                if (hp_nct > n_ctx_min) {
-                    int64_t sum_used_target = sum_free;
-                    for (size_t id = 0; id < nd; id++) {
-                        sum_used_target -= margins[id];
-                    }
-                    if (nd > 1) {
-                        // for multiple devices we need to be more conservative in terms of how much context we think can fit:
-                        //   - for dense models only whole layers can be assigned to devices
-                        //   - for MoE models only whole tensors can be assigned to devices, which we estimate to be <= 1/3 of a layer
-                        //   - on average we expect a waste of 0.5 layers/tensors per device
-                        //   - use slightly more than the expected average for nd devices to be safe
-                        const int64_t model_per_layer = sum_projected_model / std::min(uint32_t(mparams->n_gpu_layers), hp_ngl);
-                        sum_used_target -= (nd + 1) * model_per_layer / (hp_nex == 0 ? 2 : 6);
-                    }
-
-                    int64_t sum_projected_used_min_ctx = 0;
-                    cparams->n_ctx = n_ctx_min;
-                    const dmds_t dmds_min_ctx = llama_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-                    for (const auto & dmd : dmds_min_ctx) {
-                        sum_projected_used_min_ctx += dmd.mb.total();
-                    }
-                    if (sum_used_target > sum_projected_used_min_ctx) {
-                        // linear interpolation between minimum and maximum context size:
-                        cparams->n_ctx += (hp_nct - n_ctx_min) * (sum_used_target - sum_projected_used_min_ctx)
-                            / (sum_projected_used - sum_projected_used_min_ctx);
-                        cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % 256, n_ctx_min); // round down context for CUDA backend
-
-                        const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (hp_nct - n_ctx_min);
-                        const int64_t memory_reduction = (hp_nct - cparams->n_ctx) * bytes_per_ctx;
-                        LLAMA_LOG_INFO("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
-                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
-                        if (nd == 1) {
-                            LLAMA_LOG_INFO("%s: entire model can be fit by reducing context\n", __func__);
-                            return;
-                        }
-                        LLAMA_LOG_INFO("%s: entire model should be fit across devices by reducing context\n", __func__);
-                    } else {
-                        const int64_t memory_reduction = sum_projected_used - sum_projected_used_min_ctx;
-                        LLAMA_LOG_INFO("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
-                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
-                    }
-                } else {
-                    if (n_ctx_min == UINT32_MAX) {
-                        LLAMA_LOG_INFO("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, hp_nct);
-                    } else {
-                        LLAMA_LOG_INFO("%s: default model context size is %" PRIu32 " which is <= the min. context size of %" PRIu32 " -> no change\n",
-                            __func__, hp_nct, n_ctx_min);
-                    }
-                }
-            } else {
-                LLAMA_LOG_INFO("%s: context size set by user to %" PRIu32 " -> no change\n", __func__, cparams->n_ctx);
-            }
-        }
-    }
-
-    if (mparams->n_gpu_layers != default_mparams.n_gpu_layers) {
-        throw llama_params_fit_exception("n_gpu_layers already set by user to " + std::to_string(mparams->n_gpu_layers) + ", abort");
-    }
-    if (nd > 1) {
-        if (!tensor_split) {
-            throw llama_params_fit_exception("did not provide a buffer to write the tensor_split to, abort");
-        }
-        if (mparams->tensor_split) {
-            for (size_t id = 0; id < nd; id++) {
-                if (mparams->tensor_split[id] != 0.0f) {
-                    throw llama_params_fit_exception("model_params::tensor_split already set by user, abort");
-                }
-            }
-        }
-        if (mparams->split_mode == LLAMA_SPLIT_MODE_ROW) {
-            throw llama_params_fit_exception("changing weight allocation for LLAMA_SPLIT_MODE_ROW not implemented, abort");
-        }
-    }
-    if (!tensor_buft_overrides) {
-        throw llama_params_fit_exception("did not provide buffer to set tensor_buft_overrides, abort");
-    }
-    if (mparams->tensor_buft_overrides && (mparams->tensor_buft_overrides->pattern || mparams->tensor_buft_overrides->buft)) {
-        throw llama_params_fit_exception("model_params::tensor_buft_overrides already set by user, abort");
-    }
-
-    // step 3: iteratively fill the back to front with "dense" layers
-    //   - for a dense model simply fill full layers, giving each device a contiguous slice of the model
-    //   - for a MoE model, same as dense model but with all MoE tensors in system memory
-
-    // utility function that returns a static C string matching the tensors for a specific layer index and layer fraction:
-    auto get_overflow_pattern = [&](const size_t il, const layer_fraction_t lf) -> const char * {
-        constexpr size_t n_strings = 1000;
-        if (il >= n_strings) {
-            throw std::runtime_error("at most " + std::to_string(n_strings) + " model layers are supported");
-        }
-        switch (lf) {
-            case LAYER_FRACTION_ATTN: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(up|gate|down).*";
-                }
-                return patterns[il].c_str();
-            }
-            case LAYER_FRACTION_UP: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|down).*";
-                }
-                return patterns[il].c_str();
-            }
-            case LAYER_FRACTION_GATE: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_down.*";
-                }
-                return patterns[il].c_str();
-            }
-            case LAYER_FRACTION_MOE: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(up|down|gate)_(ch|)exps";
-                }
-                return patterns[il].c_str();
-            }
-            default:
-                GGML_ABORT("fatal error");
-        }
-    };
-
-    struct ngl_t {
-        uint32_t n_layer = 0; // number of total layers
-        uint32_t n_part  = 0; // number of partial layers, <= n_layer
-
-        // for the first partial layer varying parts can overflow, all further layers use LAYER_FRACTION_MOE:
-        layer_fraction_t overflow_type = LAYER_FRACTION_MOE;
-
-        uint32_t n_full() const {
-            assert(n_layer >= n_part);
-            return n_layer - n_part;
-        }
-    };
-
-    const size_t ntbo = llama_max_tensor_buft_overrides();
-
-    // utility function to set n_gpu_layers and tensor_split
-    auto set_ngl_tensor_split_tbo = [&](
-            const std::vector<ngl_t> & ngl_per_device,
-            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts,
-            llama_model_params & mparams) {
-        mparams.n_gpu_layers = 0;
-        for (size_t id = 0; id < nd; id++) {
-            mparams.n_gpu_layers += ngl_per_device[id].n_layer;
-            if (nd > 1) {
-                tensor_split[id] = ngl_per_device[id].n_layer;
-            }
-        }
-        assert(uint32_t(mparams.n_gpu_layers) <= hp_ngl + 1);
-        uint32_t il0 = hp_ngl + 1 - mparams.n_gpu_layers; // start index for tensor buft overrides
-
-        mparams.tensor_split = tensor_split;
-
-        size_t itbo = 0;
-        for (size_t id = 0; id < nd; id++) {
-            il0 += ngl_per_device[id].n_full();
-            for (uint32_t il = il0; il < il0 + ngl_per_device[id].n_part; il++) {
-                if (itbo + 1 >= ntbo) {
-                    tensor_buft_overrides[itbo].pattern = nullptr;
-                    tensor_buft_overrides[itbo].buft    = nullptr;
-                    itbo++;
-                    mparams.tensor_buft_overrides = tensor_buft_overrides;
-                    throw llama_params_fit_exception("llama_max_tensor_buft_overrides() == "
-                        + std::to_string(ntbo) + " is insufficient for model");
-                }
-                tensor_buft_overrides[itbo].pattern = get_overflow_pattern(il, il == il0 ? ngl_per_device[id].overflow_type : LAYER_FRACTION_MOE);
-                tensor_buft_overrides[itbo].buft = il == il0 ? overflow_bufts[id] : ggml_backend_cpu_buffer_type();
-                itbo++;
-            }
-            il0 += ngl_per_device[id].n_part;
-        }
-        tensor_buft_overrides[itbo].pattern = nullptr;
-        tensor_buft_overrides[itbo].buft    = nullptr;
-        itbo++;
-        mparams.tensor_buft_overrides = tensor_buft_overrides;
-    };
-
-    // utility function that returns the memory use per device for given numbers of layers per device
-    auto get_memory_for_layers = [&](
-            const char * func_name,
-            const std::vector<ngl_t> & ngl_per_device,
-            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts) -> std::vector<int64_t> {
-        llama_model_params mparams_copy = *mparams;
-        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, mparams_copy);
-
-        const dmds_t dmd_nl = llama_get_device_memory_data(
-            path_model, &mparams_copy, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-
-        LLAMA_LOG_DEBUG("%s: memory for test allocation by device:\n", func_name);
-        for (size_t id = 0; id < nd; id++) {
-            const ngl_t & n = ngl_per_device[id];
-            LLAMA_LOG_DEBUG(
-                "%s: id=%zu, n_layer=%2" PRIu32 ", n_part=%2" PRIu32 ", overflow_type=%d, mem=%6" PRId64 " MiB\n",
-                func_name, id, n.n_layer, n.n_part, int(n.overflow_type), dmd_nl[id].mb.total()/MiB);
-        }
-
-        std::vector<int64_t> ret;
-        ret.reserve(nd);
-        for (const llama_device_memory_data & dmd : dmd_nl) {
-            ret.push_back(dmd.mb.total());
-        }
-        return ret;
-    };
-
-    int64_t global_surplus_cpu_moe = 0;
-    if (hp_nex > 0) {
-        const static std::string pattern_moe_all = "blk\\.\\d+\\.ffn_(up|down|gate)_(ch|)exps"; // matches all MoE tensors
-        ggml_backend_buffer_type_t cpu_buft = ggml_backend_cpu_buffer_type();
-        tensor_buft_overrides[0] = {pattern_moe_all.c_str(), cpu_buft};
-        tensor_buft_overrides[1] = {nullptr, nullptr};
-        mparams->tensor_buft_overrides = tensor_buft_overrides;
-
-        LLAMA_LOG_DEBUG("%s: getting device memory data with all MoE tensors moved to system memory:\n", __func__);
-        const dmds_t dmds_cpu_moe = llama_get_device_memory_data(
-            path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-
-        for (size_t id = 0; id < nd; id++) {
-            global_surplus_cpu_moe += dmds_cpu_moe[id].free;
-            global_surplus_cpu_moe -= int64_t(dmds_cpu_moe[id].mb.total()) + margins[id];
-        }
-
-        if (global_surplus_cpu_moe > 0) {
-            LLAMA_LOG_INFO("%s: with only dense weights in device memory there is a total surplus of %" PRId64 " MiB\n",
-                __func__, global_surplus_cpu_moe/MiB);
-        } else {
-            LLAMA_LOG_INFO("%s: with only dense weights in device memory there is still a total deficit of %" PRId64 " MiB\n",
-                __func__, -global_surplus_cpu_moe/MiB);
-        }
-
-        // reset
-        tensor_buft_overrides[0] = {nullptr, nullptr};
-        mparams->tensor_buft_overrides = tensor_buft_overrides;
-    }
-
-    std::vector<int64_t> targets; // maximum acceptable memory use per device
-    targets.reserve(nd);
-    for (size_t id = 0; id < nd; id++) {
-        targets.push_back(dmds_full[id].free - margins[id]);
-        LLAMA_LOG_DEBUG("%s: id=%zu, target=%" PRId64 " MiB\n", __func__, id, targets[id]/MiB);
-    }
-
-    std::vector<ggml_backend_buffer_type_t> overflow_bufts; // which bufts the first partial layer of a device overflows to:
-    overflow_bufts.reserve(nd);
-    for (size_t id = 0; id < nd; id++) {
-        overflow_bufts.push_back(ggml_backend_cpu_buffer_type());
-    }
-
-    std::vector<ngl_t> ngl_per_device(nd);
-    std::vector<int64_t> mem = get_memory_for_layers(__func__, ngl_per_device, overflow_bufts);
-
-    // optimize the number of layers per device using the method of false position:
-    //   - ngl_per_device has 0 layers for each device, lower bound
-    //   - try a "high" configuration where a device is given all unassigned layers
-    //   - interpolate the memory use / layer between low and high linearly to get a guess where it meets our target
-    //   - check memory use of our guess, replace either the low or high bound
-    //   - once we only have a difference of a single layer, stop and return the lower bound that just barely still fits
-    //   - the last device has the output layer, which cannot be a partial layer
-    if (hp_nex == 0) {
-        LLAMA_LOG_INFO("%s: filling dense layers back-to-front:\n", __func__);
-    } else {
-        LLAMA_LOG_INFO("%s: filling dense-only layers back-to-front:\n", __func__);
-    }
-    for (int id = nd - 1; id >= 0; id--) {
-        uint32_t n_unassigned = hp_ngl + 1;
-        for (size_t jd = id + 1; jd < nd; ++jd) {
-            assert(n_unassigned >= ngl_per_device[jd].n_layer);
-            n_unassigned -= ngl_per_device[jd].n_layer;
-        }
-
-        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
-        ngl_per_device_high[id].n_layer = n_unassigned;
-        if (hp_nex > 0) {
-            ngl_per_device_high[id].n_part = size_t(id) < nd - 1 ? ngl_per_device_high[id].n_layer : ngl_per_device_high[id].n_layer - 1;
-        }
-        if (ngl_per_device_high[id].n_layer > 0) {
-            std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
-            if (mem_high[id] > targets[id]) {
-                assert(ngl_per_device_high[id].n_layer > ngl_per_device[id].n_layer);
-                uint32_t delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
-                LLAMA_LOG_DEBUG("%s: start filling device %" PRIu32 ", delta=%" PRIu32 "\n", __func__, id, delta);
-                while (delta > 1) {
-                    uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
-                    step_size = std::max(step_size, uint32_t(1));
-                    step_size = std::min(step_size, delta - 1);
-
-                    std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
-                    ngl_per_device_test[id].n_layer += step_size;
-                    if (hp_nex) {
-                        ngl_per_device_test[id].n_part += size_t(id) == nd - 1 && ngl_per_device_test[id].n_part == 0 ?
-                            step_size - 1 : step_size; // the first layer is the output layer which must always be full
-                    }
-                    const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
-
-                    if (mem_test[id] <= targets[id]) {
-                        ngl_per_device = ngl_per_device_test;
-                        mem            = mem_test;
-                        LLAMA_LOG_DEBUG("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
-                    } else {
-                        ngl_per_device_high = ngl_per_device_test;
-                        mem_high            = mem_test;
-                        LLAMA_LOG_DEBUG("%s: set ngl_per_device_high[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device_high[id].n_layer);
-                    }
-                    delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
-                }
-            } else {
-                assert(ngl_per_device_high[id].n_layer == n_unassigned);
-                ngl_per_device = ngl_per_device_high;
-                mem            = mem_high;
-                LLAMA_LOG_DEBUG("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
-            }
-        }
-
-        const int64_t projected_margin = dmds_full[id].free - mem[id];
-        LLAMA_LOG_INFO(
-            "%s:   - %s: %2" PRIu32 " layers, %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
-            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, mem[id]/MiB, projected_margin/MiB);
-    }
-    if (hp_nex == 0 || global_surplus_cpu_moe <= 0) {
-        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
-        return;
-    }
-
-    // step 4: for a MoE model where all dense tensors fit,
-    //     convert the dense-only layers in the back to full layers in the front until all devices are full
-    // essentially the same procedure as for the dense-only layers except front-to-back
-    // also, try fitting at least part of one more layer to reduce waste for "small" GPUs with e.g. 24 GiB VRAM
-
-    size_t id_dense_start = nd;
-    for (int id = nd - 1; id >= 0; id--) {
-        if (ngl_per_device[id].n_layer > 0) {
-            id_dense_start = id;
-            continue;
-        }
-        break;
-    }
-    assert(id_dense_start < nd);
-
-    LLAMA_LOG_INFO("%s: converting dense-only layers to full layers and filling them front-to-back with overflow to next device/system memory:\n", __func__);
-    for (size_t id = 0; id <= id_dense_start && id_dense_start < nd; id++) {
-        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
-        for (size_t jd = id_dense_start; jd < nd; jd++) {
-            const uint32_t n_layer_move = jd < nd - 1 ? ngl_per_device_high[jd].n_layer : ngl_per_device_high[jd].n_layer - 1;
-            ngl_per_device_high[id].n_layer += n_layer_move;
-            ngl_per_device_high[jd].n_layer -= n_layer_move;
-            ngl_per_device_high[jd].n_part = 0;
-        }
-        size_t id_dense_start_high = nd - 1;
-        std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
-
-        if (mem_high[id] > targets[id]) {
-            assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
-            uint32_t delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
-            while (delta > 1) {
-                uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
-                step_size = std::max(step_size, uint32_t(1));
-                step_size = std::min(step_size, delta - 1);
-
-                std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
-                size_t id_dense_start_test = id_dense_start;
-                uint32_t n_converted_test = 0;
-                for (;id_dense_start_test < nd; id_dense_start_test++) {
-                    const uint32_t n_convert_jd = std::min(step_size - n_converted_test, ngl_per_device_test[id_dense_start_test].n_part);
-                    ngl_per_device_test[id_dense_start_test].n_layer -= n_convert_jd;
-                    ngl_per_device_test[id_dense_start_test].n_part -= n_convert_jd;
-                    ngl_per_device_test[id].n_layer += n_convert_jd;
-                    n_converted_test += n_convert_jd;
-
-                    if (ngl_per_device_test[id_dense_start_test].n_part > 0) {
-                        break;
-                    }
-                }
-                const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
-
-                if (mem_test[id] <= targets[id]) {
-                    ngl_per_device = ngl_per_device_test;
-                    mem            = mem_test;
-                    id_dense_start = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
-                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-                } else {
-                    ngl_per_device_high = ngl_per_device_test;
-                    mem_high            = mem_test;
-                    id_dense_start_high = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device_high[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start_high=%zu\n",
-                        __func__, id, ngl_per_device_high[id].n_layer, ngl_per_device_high[id].n_part, id_dense_start_high);
-                }
-                assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
-                delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
-            }
-        } else {
-            ngl_per_device = ngl_per_device_high;
-            mem            = mem_high;
-            id_dense_start = id_dense_start_high;
-            LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
-                __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-        }
-
-        // try to fit at least part of one more layer
-        if (ngl_per_device[id_dense_start].n_layer > (id < nd - 1 ? 0 : 1)) {
-            std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
-            size_t id_dense_start_test = id_dense_start;
-            ngl_per_device_test[id_dense_start_test].n_layer--;
-            ngl_per_device_test[id_dense_start_test].n_part--;
-            ngl_per_device_test[id].n_layer++;
-            ngl_per_device_test[id].n_part++;
-            if (ngl_per_device_test[id_dense_start_test].n_part == 0) {
-                id_dense_start_test++;
-            }
-            ngl_per_device_test[id].overflow_type = LAYER_FRACTION_UP;
-            std::vector<ggml_backend_buffer_type_t> overflow_bufts_test = overflow_bufts;
-            if (id < nd - 1) {
-                overflow_bufts_test[id] = ggml_backend_dev_buffer_type(devs[id + 1]);
-            }
-            LLAMA_LOG_DEBUG("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_UP\n", __func__);
-            std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
-            if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
-                ngl_per_device = ngl_per_device_test;
-                overflow_bufts = overflow_bufts_test;
-                mem            = mem_test;
-                id_dense_start = id_dense_start_test;
-                LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", UP), id_dense_start=%zu\n",
-                    __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-
-                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_GATE;
-                LLAMA_LOG_DEBUG("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_GATE\n", __func__);
-                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
-                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
-                    ngl_per_device = ngl_per_device_test;
-                    overflow_bufts = overflow_bufts_test;
-                    mem            = mem_test;
-                    id_dense_start = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", GATE), id_dense_start=%zu\n",
-                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-                }
-            } else {
-                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_ATTN;
-                LLAMA_LOG_DEBUG("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_ATTN\n", __func__);
-                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
-                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
-                    ngl_per_device = ngl_per_device_test;
-                    overflow_bufts = overflow_bufts_test;
-                    mem            = mem_test;
-                    id_dense_start = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", ATTN), id_dense_start=%zu\n",
-                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-                }
-            }
-        }
-
-        const int64_t projected_margin = dmds_full[id].free - mem[id];
-        LLAMA_LOG_INFO(
-            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
-            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
-    }
-
-    // print info for devices that were not changed during the conversion from dense only to full layers:
-    for (size_t id = id_dense_start + 1; id < nd; id++) {
-        const int64_t projected_margin = dmds_full[id].free - mem[id];
-        LLAMA_LOG_INFO(
-            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
-            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
-    }
-
-    set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
-}
-
-enum llama_params_fit_status llama_params_fit(
-        const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
-        float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
-        size_t * margins, uint32_t n_ctx_min, enum ggml_log_level log_level) {
-    const int64_t t0_us = llama_time_us();
-    llama_params_fit_status status = LLAMA_PARAMS_FIT_STATUS_SUCCESS;
-    try {
-        llama_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, log_level);
-        LLAMA_LOG_INFO("%s: successfully fit params to free device memory\n", __func__);
-    } catch (const llama_params_fit_exception & e) {
-        LLAMA_LOG_WARN("%s: failed to fit params to free device memory: %s\n", __func__, e.what());
-        status = LLAMA_PARAMS_FIT_STATUS_FAILURE;
-    } catch (const std::runtime_error & e) {
-        LLAMA_LOG_ERROR("%s: encountered an error while trying to fit params to free device memory: %s\n", __func__, e.what());
-        status = LLAMA_PARAMS_FIT_STATUS_ERROR;
-    }
-    const int64_t t1_us = llama_time_us();
-    LLAMA_LOG_INFO("%s: fitting params to free memory took %.2f seconds\n", __func__, (t1_us - t0_us) * 1e-6);
-    return status;
-}
-
 struct llama_sampler_chain_params llama_sampler_chain_default_params() {
     struct llama_sampler_chain_params result = {
         /*.no_perf =*/ true,
@@ -828,7 +113,7 @@ int64_t llama_time_us(void) {
 
 // Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback
 static int llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud,
-        const std::string & fname, std::vector<std::string> & splits, llama_model & model, llama_model_params & params) {
+        const std::string & fname, std::vector<std::string> & splits, FILE * file, llama_model & model, llama_model_params & params) {
     // loading time will be recalculated after the first eval, so
     // we take page faults deferred by mmap() into consideration
     model.t_load_us = 0;
@@ -837,7 +122,7 @@ static int llama_model_load(struct gguf_context * metadata, llama_model_set_tens
     model.t_start_us = tm.t_start_us;
 
     try {
-        llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, params.use_mmap, params.use_direct_io,
+        llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, file, params.use_mmap, params.use_direct_io,
             params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides);
 
         ml.print_info();
@@ -889,8 +174,24 @@ static struct llama_model * llama_model_load_from_file_impl(
         void * set_tensor_data_ud,
         const std::string & path_model,
         std::vector<std::string> & splits,
+        FILE * file,
         struct llama_model_params params) {
-    GGML_ASSERT((metadata == nullptr) != path_model.empty() && "exactly one out of metadata and path_model needs to be defined");
+    {
+        int n_sources_defined = 0;
+        if (metadata != nullptr) {
+            n_sources_defined++;
+        }
+        if (!path_model.empty()) {
+            n_sources_defined++;
+        }
+        if (file != nullptr) {
+            n_sources_defined++;
+        }
+        if (n_sources_defined != 1) {
+            LLAMA_LOG_ERROR("%s: exactly one out metadata, path_model, and file must be defined\n", __func__);
+            return nullptr;
+        }
+    }
     ggml_time_init();
 
     if (!params.vocab_only && ggml_backend_reg_count() == 0) {
@@ -919,58 +220,111 @@ static struct llama_model * llama_model_load_from_file_impl(
 
     // create list of devices to use with this model
     if (params.devices) {
-        for (ggml_backend_dev_t * dev = params.devices; *dev; ++dev) {
-            model->devices.push_back(*dev);
+        if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR) {
+            size_t n_devs = 0;
+            while (params.devices[n_devs]) {
+                n_devs++;
+            }
+            if (n_devs == 0) {
+                LLAMA_LOG_ERROR("%s: LLAMA_SPLIT_MODE_TENSOR needs >= 1 devices\n", __func__);
+                return nullptr;
+            }
+            LLAMA_LOG_INFO("%s: creating a Meta device with %zu devices\n", __func__, n_devs);
+            for (size_t i = 0; i < n_devs; ++i) {
+                LLAMA_LOG_INFO("%s: - device %zu: %s\n", __func__, i, ggml_backend_dev_name(params.devices[i]));
+            }
+            model->get_split_state_ud.n_devices = n_devs;
+            model->get_split_state_ud.model = model;
+            model->devices.push_back({
+                true, ggml_backend_meta_device(
+                params.devices, n_devs, llama_meta_device_get_split_state, &model->get_split_state_ud)
+            });
+        } else {
+            for (ggml_backend_dev_t * dev = params.devices; *dev; ++dev) {
+                model->devices.push_back({false, *dev});
+            }
         }
     } else {
         // default device selection
 
         // build list of available devices
-        std::vector<ggml_backend_dev_t> gpus;
-        std::vector<ggml_backend_dev_t> igpus;
-        std::vector<ggml_backend_dev_t> rpc_servers;
-
-        for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
-            ggml_backend_dev_t dev = ggml_backend_dev_get(i);
-            switch (ggml_backend_dev_type(dev)) {
-                case GGML_BACKEND_DEVICE_TYPE_CPU:
-                case GGML_BACKEND_DEVICE_TYPE_ACCEL:
-                    // skip CPU backends since they are handled separately
-                    break;
-
-                case GGML_BACKEND_DEVICE_TYPE_GPU: {
-                    ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
-                    if (ggml_backend_reg_name(reg) == std::string("RPC")) {
-                        rpc_servers.push_back(dev);
-                    } else {
-                        // check if there is already a GPU with the same device id
-                        ggml_backend_dev_props props;
-                        ggml_backend_dev_get_props(dev, &props);
-                        auto it = std::find_if(gpus.begin(), gpus.end(), [&props](ggml_backend_dev_t d) {
-                            ggml_backend_dev_props d_props;
-                            ggml_backend_dev_get_props(d, &d_props);
-                            if (props.device_id && d_props.device_id) {
-                                return strcmp(props.device_id, d_props.device_id) == 0;
-                            }
-                            return false;
-                        });
-
-                        if (it != gpus.end()) {
-                            LLAMA_LOG_INFO("%s: skipping device %s (%s) with id %s - already using device %s (%s) with the same id\n",
-                                    __func__,
-                                    ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
-                                    props.device_id ? props.device_id : "unknown id",
-                                    ggml_backend_dev_name(*it), ggml_backend_dev_description(*it));
+        std::vector<llama_device> gpus;
+        std::vector<llama_device> igpus;
+        std::vector<llama_device> rpc_servers;
+
+        if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR) {
+            std::vector<ggml_backend_dev_t> devs;
+            devs.reserve(ggml_backend_dev_count());
+            for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
+                auto * dev = ggml_backend_dev_get(i);
+                if (ggml_backend_dev_buffer_type(dev) == ggml_backend_cpu_buffer_type()) {
+                    LLAMA_LOG_INFO("%s: skipping %s (%s) for tensor parallelism\n", __func__, ggml_backend_dev_name(dev), ggml_backend_dev_description(dev));
+                    continue;
+                }
+                devs.push_back(dev);
+            }
+            if (devs.empty()) {
+                LLAMA_LOG_ERROR("%s: LLAMA_SPLIT_MODE_TENSOR needs >= 1 devices\n", __func__);
+                return nullptr;
+            }
+
+            LLAMA_LOG_INFO("%s: creating a Meta device for tensor parallelism from %zu devices:\n", __func__, devs.size());
+            for (size_t i = 0; i < devs.size(); ++i) {
+                LLAMA_LOG_INFO("%s: - device %zu: %s (%s)\n", __func__, i, ggml_backend_dev_name(devs[i]), ggml_backend_dev_description(devs[i]));
+            }
+
+            GGML_ASSERT(!devs.empty());
+            model->get_split_state_ud.n_devices = devs.size();
+            model->get_split_state_ud.model     = model;
+            gpus.push_back({
+                true, ggml_backend_meta_device(
+                devs.data(), devs.size(), llama_meta_device_get_split_state, &model->get_split_state_ud)
+            });
+        } else {
+            for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
+                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
+                switch (ggml_backend_dev_type(dev)) {
+                    case GGML_BACKEND_DEVICE_TYPE_CPU:
+                    case GGML_BACKEND_DEVICE_TYPE_ACCEL:
+                        // skip CPU backends since they are handled separately
+                        break;
+
+                    case GGML_BACKEND_DEVICE_TYPE_GPU: {
+                        ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
+                        if (ggml_backend_reg_name(reg) == std::string("RPC")) {
+                            rpc_servers.push_back({false, dev});
                         } else {
-                            gpus.push_back(dev);
+                            // check if there is already a GPU with the same device id
+                            ggml_backend_dev_props props;
+                            ggml_backend_dev_get_props(dev, &props);
+                            auto it = std::find_if(gpus.begin(), gpus.end(), [&props](const llama_device & d) {
+                                ggml_backend_dev_props d_props;
+                                ggml_backend_dev_get_props(d.dev, &d_props);
+                                if (props.device_id && d_props.device_id) {
+                                    return strcmp(props.device_id, d_props.device_id) == 0;
+                                }
+                                return false;
+                            });
+
+                            if (it != gpus.end()) {
+                                LLAMA_LOG_INFO("%s: skipping device %s (%s) with id %s - already using device %s (%s) with the same id\n",
+                                        __func__,
+                                        ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
+                                        props.device_id ? props.device_id : "unknown id",
+                                        ggml_backend_dev_name(it->dev), ggml_backend_dev_description(it->dev));
+                            } else {
+                                gpus.push_back({false, dev});
+                            }
                         }
+                        break;
                     }
-                    break;
-                }
 
-                case GGML_BACKEND_DEVICE_TYPE_IGPU:
-                    igpus.push_back(dev);
-                    break;
+                    case GGML_BACKEND_DEVICE_TYPE_IGPU:
+                        igpus.push_back({false, dev});
+                        break;
+                    case GGML_BACKEND_DEVICE_TYPE_META:
+                        GGML_ABORT("fatal error");
+                }
             }
         }
 
@@ -996,22 +350,22 @@ static struct llama_model * llama_model_load_from_file_impl(
                 llama_model_free(model);
                 return nullptr;
             }
-            ggml_backend_dev_t main_gpu = model->devices[params.main_gpu];
+            llama_device main_gpu = model->devices[params.main_gpu];
             model->devices.clear();
             model->devices.push_back(main_gpu);
         }
     }
 
-    for (auto * dev : model->devices) {
+    for (const auto & dev : model->devices) {
         ggml_backend_dev_props props;
-        ggml_backend_dev_get_props(dev, &props);
+        ggml_backend_dev_get_props(dev.dev, &props);
         LLAMA_LOG_INFO("%s: using device %s (%s) (%s) - %zu MiB free\n", __func__,
-                ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
+                ggml_backend_dev_name(dev.dev), ggml_backend_dev_description(dev.dev),
                 props.device_id ? props.device_id : "unknown id",
                 props.memory_free/1024/1024);
     }
 
-    const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, *model, params);
+    const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, file, *model, params);
     GGML_ASSERT(status <= 0);
     if (status < 0) {
         if (status == -1) {
@@ -1037,7 +391,7 @@ struct llama_model * llama_model_init_from_user(
     std::vector<std::string> splits = {};
     params.use_mmap = false;
     params.use_extra_bufts = false;
-    return llama_model_load_from_file_impl(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, params);
+    return llama_model_load_from_file_impl(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, /*file*/ nullptr, params);
 }
 // deprecated
 struct llama_model * llama_load_model_from_file(
@@ -1050,7 +404,7 @@ struct llama_model * llama_model_load_from_file(
         const char * path_model,
         struct llama_model_params params) {
     std::vector<std::string> splits = {};
-    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, path_model, splits, params);
+    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, path_model, splits, /*file*/ nullptr, params);
 }
 
 struct llama_model * llama_model_load_from_splits(
@@ -1066,7 +420,17 @@ struct llama_model * llama_model_load_from_splits(
     for (size_t i = 0; i < n_paths; ++i) {
         splits.push_back(paths[i]);
     }
-    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, splits.front(), splits, params);
+    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, splits.front(), splits, /*file*/ nullptr, params);
+}
+
+struct llama_model * llama_model_load_from_file_ptr(FILE * file, struct llama_model_params params) {
+    if (!file) {
+        LLAMA_LOG_ERROR("%s: file is NULL\n", __func__);
+        return nullptr;
+    }
+    std::string path_model;
+    std::vector<std::string> splits = {};
+    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, path_model, splits, file, params);
 }
 
 void llama_model_save_to_file(const struct llama_model * model, const char * path_model) {
diff --git a/src/models/afmoe.cpp b/src/models/afmoe.cpp
index 9aabe25c96553f98087d4ff8650551a1c0ae1947..2790b12111daa99b4f842f9231936dd545fdb923 100644
--- a/src/models/afmoe.cpp
+++ b/src/models/afmoe.cpp
@@ -41,22 +41,13 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
         {
             ggml_tensor * attn_inp = cur;  // save input for gate computation
 
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // compute gate from input
             ggml_tensor * gate = build_lora_mm(model.layers[il].wqkv_gate, attn_inp);
             cb(gate, "attn_gate_proj", il);
 
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-
             // Q/K normalization
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -77,10 +68,8 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
                 cb(Kcur, "Kcur_rope", il);
             }
 
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
             cur = build_attn(inp_attn,
-                    NULL, NULL,  // wo will be applied after gating
+                    NULL, NULL, NULL,  // wo will be applied after gating
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
 
@@ -91,7 +80,7 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
             cb(cur, "attn_gated", il);
 
             // now apply output projection
-            cur = build_lora_mm(model.layers[il].wo, cur);
+            cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
             cb(cur, "attn_o_proj", il);
         }
 
diff --git a/src/models/apertus.cpp b/src/models/apertus.cpp
index 4d65614e466170bc23749ddf10beb76126dc4f8e..af44cea60541735a0afea23e3b19e873b3ae0563 100644
--- a/src/models/apertus.cpp
+++ b/src/models/apertus.cpp
@@ -1,7 +1,5 @@
 #include "models.h"
 
-
-
 llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -32,25 +30,15 @@ llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
 
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
             cb(Kcur, "Kcur_normed", il);
 
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
 
@@ -62,7 +50,7 @@ llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur_pos", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/arcee.cpp b/src/models/arcee.cpp
index 20b9ffd49ebd18fac688ba1bb6158695ff5d6752..2e71f5d9e2a3c169e4c437c9def0dda6a3285eaa 100644
--- a/src/models/arcee.cpp
+++ b/src/models/arcee.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -36,30 +35,8 @@ llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_para
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -78,7 +55,7 @@ llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/arctic.cpp b/src/models/arctic.cpp
index b712e08cbd32c233fb23658d4ce8879c45cf2d59..f8ca6aff6abbcf708db1d02353b491831e570d94 100644
--- a/src/models/arctic.cpp
+++ b/src/models/arctic.cpp
@@ -30,18 +30,8 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -60,7 +50,7 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/baichuan.cpp b/src/models/baichuan.cpp
index abd03cd0b9711e00ce7b99140e149d3688ab1b48..2d0d05df4850a8e72dc2e1ad0c16edf7cec725b9 100644
--- a/src/models/baichuan.cpp
+++ b/src/models/baichuan.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -29,18 +28,8 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             switch (model.type) {
                 case LLM_TYPE_7B:
@@ -67,7 +56,7 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/bailingmoe.cpp b/src/models/bailingmoe.cpp
index 25e3369c313ecd6868316f1198edd1e4268305bf..67a7120d62282e4fec4dbb57761acdda3b9fd44a 100644
--- a/src/models/bailingmoe.cpp
+++ b/src/models/bailingmoe.cpp
@@ -28,30 +28,8 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_rot, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head_k, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -70,7 +48,7 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_rot)), il);
         }
 
diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp
index 42098624663b6e85f48cbc922d77fae4b9f0df63..497b4babd0cba7cf290ebf70232983aa1b8fccc1 100644
--- a/src/models/bailingmoe2.cpp
+++ b/src/models/bailingmoe2.cpp
@@ -3,7 +3,6 @@
 llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -29,15 +28,8 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll
 
         // self_attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 0 * sizeof(float) * (n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -56,7 +48,7 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/bert.cpp b/src/models/bert.cpp
index 8733179141885ce7f1a8f9032d45a13a93cd743e..7e046cfd2a499542ea52edc018b896e953656bbf 100644
--- a/src/models/bert.cpp
+++ b/src/models/bert.cpp
@@ -2,7 +2,6 @@
 
 llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -28,8 +27,8 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params
     cb(inpL, "inp_embd", -1);
 
     // embed layer norm
-    inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, -1);
-    cb(inpL, "inp_norm", -1);
+    inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, 0);
+    cb(inpL, "inp_norm", 0);
 
     auto * inp_attn = build_attn_inp_no_cache();
 
@@ -39,35 +38,8 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params
         ggml_tensor * cur = inpL;
 
         {
-            ggml_tensor * Qcur;
-            ggml_tensor * Kcur;
-            ggml_tensor * Vcur;
-
-            // self-attention
-            if (model.layers[il].wqkv) {
-                cur = build_lora_mm(model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-
-                if (model.layers[il].bqkv) {
-                    cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                    cb(cur, "bqkv", il);
-                }
-
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float), cur->nb[1],
-                                    0 * sizeof(float) * (n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
-            } else {
-                Qcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wq, cur), model.layers[il].bq);
-                Kcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wk, cur), model.layers[il].bk);
-                Vcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wv, cur), model.layers[il].bv);
-
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
                 Qcur = ggml_reshape_2d(ctx0, Qcur, n_embd_head * n_head, n_tokens);
@@ -100,7 +72,7 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "kqv_out", il);
         }
diff --git a/src/models/bitnet.cpp b/src/models/bitnet.cpp
index 9f41b7d82df0f0338751ea71b1762355b5695b64..71526354ca6a6e57329cf78b5196947a87b29028 100644
--- a/src/models/bitnet.cpp
+++ b/src/models/bitnet.cpp
@@ -28,33 +28,8 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
 
         // self-attention
         {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            // B1.K
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            // B1.V
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -73,7 +48,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    NULL, NULL,
+                    NULL, NULL, NULL,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
 
             cur = build_norm(cur,
@@ -82,8 +57,8 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
             cb(cur, "attn_sub_norm", il);
 
             cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
-            if (model.layers[il].bo) {
-                cur = ggml_add(ctx0, cur, model.layers[il].bo);
+            if (model.layers[il].wo_b) {
+                cur = ggml_add(ctx0, cur, model.layers[il].wo_b);
             }
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/bloom.cpp b/src/models/bloom.cpp
index b1c19bb58a2e07dbe5db557b6d54110bbf6b3378..f3b0999bf54123c51722f72f7f2bfdbcd8cea9d1 100644
--- a/src/models/bloom.cpp
+++ b/src/models/bloom.cpp
@@ -2,7 +2,6 @@
 
 llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -16,8 +15,8 @@ llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_para
     inpL = build_norm(inpL,
             model.tok_norm,
             model.tok_norm_b,
-            LLM_NORM, -1);
-    cb(inpL, "inp_norm", -1);
+            LLM_NORM, 0);
+    cb(inpL, "inp_norm", 0);
 
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
@@ -30,22 +29,11 @@ llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_para
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/chameleon.cpp b/src/models/chameleon.cpp
index 2f24105fa14ea6dd73c33d11c88ce0d8fae2a4e8..21deaba1a6df0597cbaa73dc81a3dd97906c0c19 100644
--- a/src/models/chameleon.cpp
+++ b/src/models/chameleon.cpp
@@ -36,22 +36,10 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
-                Qcur = ggml_view_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens,
-                        ggml_element_size(Qcur) * n_embd_head,
-                        ggml_element_size(Qcur) * n_embd_head * n_head,
-                        0);
-                cb(Qcur, "Qcur", il);
-
                 Qcur = build_norm(Qcur,
                         model.layers[il].attn_q_norm,
                         model.layers[il].attn_q_norm_b,
@@ -60,12 +48,6 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
             }
 
             if (model.layers[il].attn_k_norm) {
-                Kcur = ggml_view_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens,
-                        ggml_element_size(Kcur) * n_embd_head,
-                        ggml_element_size(Kcur) * n_embd_head * n_head_kv,
-                        0);
-                cb(Kcur, "Kcur", il);
-
                 Kcur = build_norm(Kcur,
                         model.layers[il].attn_k_norm,
                         model.layers[il].attn_k_norm_b,
@@ -73,10 +55,6 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
                 cb(Kcur, "Kcur", il);
             }
 
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
                     n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -94,7 +72,7 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/chatglm.cpp b/src/models/chatglm.cpp
index cd11581a557972c0b1a29def166755774bf2e8c9..7d4a43fdca54318551bf5dbbd7d127868a8632d0 100644
--- a/src/models/chatglm.cpp
+++ b/src/models/chatglm.cpp
@@ -3,7 +3,6 @@
 
 llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -30,37 +29,8 @@ llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv == nullptr) {
-                Qcur = build_lora_mm(model.layers[il].wq, cur);
-                if (model.layers[il].bq) {
-                    Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                }
-                Kcur = build_lora_mm(model.layers[il].wk, cur);
-                if (model.layers[il].bk) {
-                    Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                }
-                Vcur = build_lora_mm(model.layers[il].wv, cur);
-                if (model.layers[il].bv) {
-                    Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                }
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            } else {
-                cur = build_lora_mm(model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-                if (model.layers[il].bqkv) {
-                    cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                    cb(cur, "bqkv", il);
-                }
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             //printf("freq_base: %f freq_scale: %f ext_factor: %f attn_factor: %f\n", freq_base, freq_scale, ext_factor, attn_factor);
             Qcur = ggml_rope_ext(
@@ -80,7 +50,7 @@ llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/codeshell.cpp b/src/models/codeshell.cpp
index e8e13e143f262d6dada8baaa757b630f274d71ea..3ceb5835b854872f1051e4c12d8c14e71515f49d 100644
--- a/src/models/codeshell.cpp
+++ b/src/models/codeshell.cpp
@@ -2,7 +2,6 @@
 
 llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
     GGML_ASSERT(n_embd_head == n_rot);
@@ -28,15 +27,8 @@ llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_gr
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -55,7 +47,7 @@ llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/cogvlm.cpp b/src/models/cogvlm.cpp
index fa7a54ba1c3839c7d28e42eaf9d19cd5b84821fa..be3eeeddac7fde17b5b07d0a1f4451982ebaaad4 100644
--- a/src/models/cogvlm.cpp
+++ b/src/models/cogvlm.cpp
@@ -28,18 +28,20 @@ llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_pa
 
     for (int il = 0; il < n_layer; ++il) {
         // get either the text or image weight tensors
-        ggml_tensor *wqkv, *wo;
+        ggml_tensor *wqkv, *wo, *wo_s;
         ggml_tensor *ffn_gate, *ffn_down, *ffn_up;
 
         if (is_text) {
             wqkv     = model.layers[il].wqkv;
             wo       = model.layers[il].wo;
+            wo_s     = model.layers[il].wo_s;
             ffn_gate = model.layers[il].ffn_gate;
             ffn_down = model.layers[il].ffn_down;
             ffn_up   = model.layers[il].ffn_up;
         } else {
             wqkv     = model.layers[il].visexp_attn_wqkv;
             wo       = model.layers[il].visexp_attn_wo;
+            wo_s     = nullptr;
             ffn_gate = model.layers[il].visexp_ffn_gate;
             ffn_down = model.layers[il].visexp_ffn_down;
             ffn_up   = model.layers[il].visexp_ffn_up;
@@ -64,7 +66,7 @@ llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_pa
             Kcur = ggml_rope(ctx0, Kcur, inp_pos, n_embd_head, rope_type);
 
             cur = build_attn(inp_attn,
-                wo, nullptr,
+                wo, nullptr, wo_s,
                 Qcur, Kcur, Vcur,
                 nullptr, nullptr, nullptr,
                 kq_scale, il);
diff --git a/src/models/cohere2-iswa.cpp b/src/models/cohere2-iswa.cpp
index 7c71a59ae7f0f292c4901b869a6e4e2b40226690..670b08e7d97cb3e94d46728585694dd7181db8bb 100644
--- a/src/models/cohere2-iswa.cpp
+++ b/src/models/cohere2-iswa.cpp
@@ -36,30 +36,8 @@ llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (is_swa) {
                 Qcur = ggml_rope_ext(
@@ -80,7 +58,7 @@ llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/command-r.cpp b/src/models/command-r.cpp
index ba1230f0419358cd684231d560bcf98a5cf0256a..067961caa08677bea728f13bb64435aa66038f21 100644
--- a/src/models/command-r.cpp
+++ b/src/models/command-r.cpp
@@ -32,27 +32,8 @@ llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
                 Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM, il);
@@ -73,7 +54,7 @@ llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/dbrx.cpp b/src/models/dbrx.cpp
index 73eb5cd24e7de114e6b05ef8e5912b354558b140..0e8827218076ffd00e023b6e27875efe602441a0 100644
--- a/src/models/dbrx.cpp
+++ b/src/models/dbrx.cpp
@@ -2,7 +2,6 @@
 
 llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
     GGML_ASSERT(n_embd_head == n_rot);
@@ -30,19 +29,8 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_clamp(ctx0, cur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-            cb(cur, "wqkv_clamped", il);
-
-            Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -61,7 +49,7 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/deci.cpp b/src/models/deci.cpp
index ac448bfcaa8f26149943faab9fb0d1b757385f93..30272eabd69e68284ef7ecc7d36f13c07ac84450 100644
--- a/src/models/deci.cpp
+++ b/src/models/deci.cpp
@@ -1,7 +1,5 @@
 #include "models.h"
 
-
-
 llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -47,27 +45,8 @@ llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -80,7 +59,7 @@ llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/deepseek.cpp b/src/models/deepseek.cpp
index 3432359e03a0a9e73dcac3a6bad55d693e58b04a..671b72dfead7b7292bbb00de42c2301793635250 100644
--- a/src/models/deepseek.cpp
+++ b/src/models/deepseek.cpp
@@ -35,27 +35,8 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -68,7 +49,7 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/deepseek2.cpp b/src/models/deepseek2.cpp
index d437fe29e71b3a7d4da716885d6ab04805acddd2..303fc72c6105bd541b52847d11b81c59f7bc8ddc 100644
--- a/src/models/deepseek2.cpp
+++ b/src/models/deepseek2.cpp
@@ -2,6 +2,9 @@
 
 llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
+    // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B
+    bool is_ocr = model.arch == LLM_ARCH_DEEPSEEK2OCR;
+
     const bool is_mla = hparams.is_mla();
 
     // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA
@@ -54,7 +57,38 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
         cb(cur, "attn_norm", il);
 
         // self_attention
-        {
+        if (is_ocr) {
+            const int n_embed_head = hparams.n_embd / hparams.n_head();
+            const int ocr_rope_type = GGML_ROPE_TYPE_NEOX;
+            GGML_ASSERT(n_embed_head == n_embd_head_k && n_embed_head == n_embd_head_v);
+
+            ggml_tensor * Qcur = NULL;
+            ggml_tensor * Kcur = NULL;
+            ggml_tensor * Vcur = NULL;
+
+            Qcur = ggml_mul_mat(ctx0, model.layers[il].wq, cur);
+            Kcur = ggml_mul_mat(ctx0, model.layers[il].wk, cur);
+            Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur);
+            cb(Qcur, "q", il);
+            cb(Kcur, "k", il);
+            cb(Vcur, "v", il);
+
+            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embed_head, n_head, n_tokens);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embed_head, n_head, n_tokens);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embed_head, n_head, n_tokens);
+
+            GGML_ASSERT(fabs(freq_base - 10000.0) < 1e-4);
+            Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_embed_head, ocr_rope_type, 0, freq_base, 1, 0, 1, 0, 0);
+            Kcur = ggml_rope_ext(ctx0, Kcur, inp_pos, nullptr, n_embed_head, ocr_rope_type, 0, freq_base, 1, 0, 1, 0, 0);
+            cb(Qcur, "q_pe", il);
+            cb(Kcur, "k_pe", il);
+
+            cur = build_attn(inp_attn_kv,
+                        model.layers[il].wo, NULL, model.layers[il].wo_s,
+                        Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
+            cb(cur, "attn_out", il);
+        }
+        else {
             ggml_tensor * q = NULL;
 
             const bool is_lite = model.layers[il].wq;
@@ -148,7 +182,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
 
                 // note: MLA with the absorption optimization converts into MQA (ie: GQA with 1 group)
                 cur = build_attn(inp_attn_k,
-                        model.layers[il].wo, NULL,
+                        model.layers[il].wo, NULL, model.layers[il].wo_s,
                         Qcur, Kcur, Vcur, nullptr, nullptr, model.layers[il].wv_b, kq_scale, il);
             } else {
                 ggml_tensor * kv = ggml_mul_mat(ctx0, model.layers[il].wkv_b, kv_cmpr);
@@ -185,7 +219,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
 
                 // note: MLA without the absorption optimization converts into MHA (ie: GQA with full n_head groups)
                 cur = build_attn(inp_attn_kv,
-                            model.layers[il].wo, NULL,
+                            model.layers[il].wo, NULL, model.layers[il].wo_s,
                             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             }
         }
diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp
index 07236dd27c9d3cdad9ee427fff432d8ef18f4a4f..5d1750fedda9ae69663001f33bff64ccff9d05f5 100644
--- a/src/models/dots1.cpp
+++ b/src/models/dots1.cpp
@@ -29,18 +29,8 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -59,7 +49,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/dream.cpp b/src/models/dream.cpp
index 4edc8530cb3cfede88dd4b07ec0a7ea4521c376e..8e7d9ae64c740233a0b5e42695c4d4ae8148088d 100644
--- a/src/models/dream.cpp
+++ b/src/models/dream.cpp
@@ -1,7 +1,5 @@
 #include "models.h"
 
-
-
 llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     //copied from qwen2
@@ -31,22 +29,8 @@ llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_para
 
         // self-attention
         {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Qcur               = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Kcur               = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            Vcur               = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -59,7 +43,7 @@ llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/ernie4-5-moe.cpp b/src/models/ernie4-5-moe.cpp
index 63baf152c40771a75ea74533d3da386719fbfa92..fc6a3e17a09d590785f2fe5cb3ad2e0cec15807d 100644
--- a/src/models/ernie4-5-moe.cpp
+++ b/src/models/ernie4-5-moe.cpp
@@ -30,27 +30,8 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -63,7 +44,7 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/ernie4-5.cpp b/src/models/ernie4-5.cpp
index d548de0547b8d8f4127f7462d039d86f8ff6b517..033ba409eab011dbd8189fdc31d2313f475e66a2 100644
--- a/src/models/ernie4-5.cpp
+++ b/src/models/ernie4-5.cpp
@@ -29,27 +29,8 @@ llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_grap
         }
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -62,7 +43,7 @@ llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1) {
diff --git a/src/models/eurobert.cpp b/src/models/eurobert.cpp
index 4ca9af873ebd197afe4428ea914356a8fccf0c3a..43fff4daf3adb9ddb4ba674b76ebb62736bc8677 100644
--- a/src/models/eurobert.cpp
+++ b/src/models/eurobert.cpp
@@ -24,17 +24,8 @@ llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_grap
                 LLM_NORM_RMS, il);
 
         {
-            ggml_tensor * Qcur;
-            ggml_tensor * Kcur;
-            ggml_tensor * Vcur;
-
-            Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Vcur = build_lora_mm(model.layers[il].wv, cur);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -53,7 +44,7 @@ llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
             cb(cur, "kqv_out", il);
         }
diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp
index ea75701c528c3b8d165360d40b91e013f1051cc2..7b88a31d39d29bf38a7568b2f1b91dd22b9ed60d 100644
--- a/src/models/exaone-moe.cpp
+++ b/src/models/exaone-moe.cpp
@@ -35,18 +35,8 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -65,7 +55,7 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn_iswa,
-                model.layers[il].wo, NULL,
+                model.layers[il].wo, NULL, model.layers[il].wo_s,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/exaone.cpp b/src/models/exaone.cpp
index d4eea58e2f1d6513955b998f6c2154af49026b50..4f845bf41060a100760705f3bae4edebc7a6b7da 100644
--- a/src/models/exaone.cpp
+++ b/src/models/exaone.cpp
@@ -1,7 +1,5 @@
 #include "models.h"
 
-
-
 llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
@@ -34,27 +32,8 @@ llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_pa
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -67,7 +46,7 @@ llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/exaone4.cpp b/src/models/exaone4.cpp
index 755af3b747b0ef539d648987cae9f30937bf05b3..34bee3b8fe9e29a15780ccba5b09dca37c372bf9 100644
--- a/src/models/exaone4.cpp
+++ b/src/models/exaone4.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 template <bool iswa>
 llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
@@ -39,18 +38,8 @@ llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_
         {
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -69,7 +58,7 @@ llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/falcon-h1.cpp b/src/models/falcon-h1.cpp
index ff842d93a41dc8761988fcaf461941ba7523385f..05accf90fadf81fb93f860bab26bf855d6f244c3 100644
--- a/src/models/falcon-h1.cpp
+++ b/src/models/falcon-h1.cpp
@@ -27,19 +27,8 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_gr
         cb(cur, "attn_norm", il);
 
         // self-attention
-        ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-        cb(Qcur, "Qcur", il);
-
-        ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-        cb(Kcur, "Kcur", il);
-
-        ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-        cb(Vcur, "Vcur", il);
-
-        Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-        Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-
-        Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+        auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                n_embd_head, n_head, n_head_kv, il);
 
         Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, hparams.rope_type, n_ctx_orig, freq_base, freq_scale,
                              ext_factor, attn_factor, beta_fast, beta_slow);
@@ -52,7 +41,7 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_gr
         cb(Vcur, "Vcur-post-rope", il);
 
         ggml_tensor * attn_out = build_attn(inp->get_attn(),
-                                    model.layers[il].wo, NULL,
+                                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
         cb(attn_out, "attn_out", il);
 
diff --git a/src/models/falcon.cpp b/src/models/falcon.cpp
index 9fcba508878a209793a62dc7bfa4993dd89a3ca8..2f65fa56e1fd8b4c3a29f077152cd9fb009aeaa2 100644
--- a/src/models/falcon.cpp
+++ b/src/models/falcon.cpp
@@ -1,9 +1,7 @@
 #include "models.h"
 
-
 llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
     GGML_ASSERT(n_embd_head == n_rot);
@@ -42,12 +40,8 @@ llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_pa
                 cur = attn_norm;
             }
 
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // using mode = 2 for neox mode
             Qcur = ggml_rope_ext(
@@ -67,7 +61,7 @@ llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/gemma-embedding.cpp b/src/models/gemma-embedding.cpp
index 98110d45e3b8d5385d3a9cdc6e146fa7eab57a27..b6de9551c52c9e23030014888b4a2f09560842b6 100644
--- a/src/models/gemma-embedding.cpp
+++ b/src/models/gemma-embedding.cpp
@@ -9,7 +9,7 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model,
 
     inpL = build_inp_embd(model.tok_embd);
 
-    // important: do not normalize weights for raw embeddings input (i.e. encoded image emdeddings)
+    // important: do not normalize weights for raw embeddings input (i.e. encoded image embeddings)
     inpL = ggml_scale(ctx0, inpL, ubatch.token ? sqrtf(n_embd) : 1.0f);
     cb(inpL, "inp_scaled", -1);
 
@@ -31,18 +31,8 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model,
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -65,7 +55,7 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model,
 
             cur =
                 build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
 
diff --git a/src/models/gemma.cpp b/src/models/gemma.cpp
index 1869efd389a9121b31d50e124b69a49955ede988..09d2ff8bae7f5dfdb66554921815783fa2f26af1 100644
--- a/src/models/gemma.cpp
+++ b/src/models/gemma.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -29,18 +28,8 @@ llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -60,7 +49,7 @@ llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_para
             cb(Qcur, "Qcur_scaled", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/gemma2-iswa.cpp b/src/models/gemma2-iswa.cpp
index 3927ddd297b2754ea6f700ab16f4874ef3a12655..0ef07df8d012f2321842b3b0223c2477d033f17d 100644
--- a/src/models/gemma2-iswa.cpp
+++ b/src/models/gemma2-iswa.cpp
@@ -31,18 +31,8 @@ llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const ll
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -61,7 +51,7 @@ llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const ll
             Qcur = ggml_scale(ctx0, Qcur, hparams.f_attention_scale);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/gemma3.cpp b/src/models/gemma3.cpp
index bbb4d9a81e825dc8225f845dda040a31bba485a9..0da4af21c1738a60eba1f888c41ce1cddfbe573f 100644
--- a/src/models/gemma3.cpp
+++ b/src/models/gemma3.cpp
@@ -9,7 +9,7 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
 
     inpL = build_inp_embd(model.tok_embd);
 
-    // important: do not normalize weights for raw embeddings input (i.e. encoded image emdeddings)
+    // important: do not normalize weights for raw embeddings input (i.e. encoded image embeddings)
     inpL = ggml_scale(ctx0, inpL, ubatch.token ? sqrtf(n_embd) : 1.0f);
     cb(inpL, "inp_scaled", -1);
 
@@ -47,18 +47,8 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -84,7 +74,7 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
             Qcur = ggml_scale(ctx0, Qcur, hparams.f_attention_scale);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/gemma3n-iswa.cpp b/src/models/gemma3n-iswa.cpp
index 8ce2ae39c2f4c07f30f37835161b1432b1b840ef..f8095417e06f0afebbc0adcde670842c39539589 100644
--- a/src/models/gemma3n-iswa.cpp
+++ b/src/models/gemma3n-iswa.cpp
@@ -1,5 +1,12 @@
 #include "models.h"
 
+// get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim
+static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, int idx) {
+    GGML_ASSERT(idx < (int) x->ne[2]);
+    return ggml_view_2d(ctx0, x, x->ne[0], x->ne[1], ggml_row_size(x->type, x->ne[0]),
+                        idx * x->ne[0] * x->ne[1] * ggml_element_size(x));
+}
+
 llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params),
     model(model),
@@ -12,7 +19,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
     inpL = build_inp_embd(model.tok_embd);
 
-    // important: do not normalize weights for raw embeddings input (i.e. encoded image emdeddings)
+    // important: do not normalize weights for raw embeddings input (i.e. encoded image embeddings)
     inpL = ggml_scale(ctx0, inpL, ubatch.token ? sqrtf(n_embd) : 1.0f);
     cb(inpL, "inp_scaled", -1);
 
@@ -22,8 +29,11 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
     // TODO: is causal == true correct? might need some changes
     auto * inp_attn = build_attn_inp_kv_iswa();
 
-    // inp_per_layer shape: [n_embd_altup, n_tokens, n_layer]
-    ggml_tensor * inp_per_layer = project_per_layer_inputs(inpL, get_per_layer_inputs());
+    ggml_tensor * inp_per_layer = build_inp_per_layer();
+    ggml_build_forward_expand(gf, inp_per_layer);
+
+    // inp_per_layer now has shape: [n_embd_altup, n_tokens, n_layer]
+    inp_per_layer = project_per_layer_inputs(inpL, inp_per_layer);
 
     // inpL now has only 1 altup, project it to the rest of the altups
     // these "added" altups will be concat to the last dim of inpL
@@ -37,8 +47,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         inpL                        = ggml_concat(ctx0, inpL, altup_added, 2);  // shape: [n_embd, n_tokens, n_altup]
         cb(inpL, "inp_stacked", -1);
     }
-    // inpL now has shape:          [n_embd,       n_tokens, n_altup]
-    // inp_per_layer now has shape: [n_embd_altup, n_tokens, n_layer]
+    // inpL now has shape: [n_embd, n_tokens, n_altup]
 
     for (int il = 0; il < n_layer; ++il) {
         // this block is made to be closely resemble Gemma3p5DecoderLayer on python code
@@ -49,8 +58,8 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         ggml_tensor * predictions = altup_predict(cur, il);  // [n_embd, n_tokens, n_altup]
 
         // predicted value will go through self-attention and laurel
-        ggml_tensor * active_prediction = view_2d_slice(predictions, i_altup_act);  // [n_embd, n_tokens]
-        cur                             = active_prediction;
+        ggml_tensor * active_prediction = ggml_view_2d_slice(ctx0, predictions, i_altup_act);  // [n_embd, n_tokens]
+        cur = active_prediction;
         cb(cur, "active_prediction", il);
 
         // norm
@@ -62,19 +71,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
         // self-attention
         if (hparams.has_kv(il)) {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -94,7 +91,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
             cb(Kcur, "Kcur_pos", il);
 
             cur = build_attn(inp_attn, model.layers[il].wo,
-                    NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr,
+                    NULL, model.layers[il].wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr,
                     hparams.f_attention_scale, il);
         } else {
             // reuse KV cache of earlier layers
@@ -110,7 +107,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
             cb(Qcur, "Qcur_pos", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, nullptr, nullptr, nullptr, nullptr, nullptr, hparams.f_attention_scale, il);
         }
         cur = build_norm(cur, model.layers[il].attn_post_norm, NULL, LLM_NORM_RMS, il);
@@ -151,12 +148,13 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
         ggml_tensor * first_prediction;                                                   // [n_embd, n_tokens]
         {
-            first_prediction = view_2d_slice(corrected, i_altup_act);                     // [n_embd, n_tokens]
+            first_prediction = ggml_view_2d_slice(ctx0, corrected, i_altup_act);          // [n_embd, n_tokens]
             first_prediction = ggml_mul(ctx0, first_prediction, model.layers[il].altup_correct_scale);
             first_prediction = build_lora_mm(model.layers[il].per_layer_inp_gate, first_prediction);
             first_prediction = ggml_gelu(ctx0, first_prediction);                 // [n_embd_altup, n_tokens]
             cb(first_prediction, "first_prediction_gated", il);
-            ggml_tensor * inp_this_layer = view_2d_slice(inp_per_layer, il);      // [n_embd_altup, n_tokens]
+
+            ggml_tensor * inp_this_layer = ggml_view_2d_slice(ctx0, inp_per_layer, il);   // [n_embd_altup, n_tokens]
             first_prediction = ggml_mul(ctx0, first_prediction, inp_this_layer);  // [n_embd_altup, n_tokens]
             cb(first_prediction, "first_prediction_scaled", il);
 
@@ -167,7 +165,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         }
         // equivalent to python code: corrected_predictions[1:] += first_prediction
         {
-            ggml_tensor * slice_first = view_2d_slice(corrected, 0);
+            ggml_tensor * slice_first = ggml_view_2d_slice(ctx0, corrected, 0);
             ggml_tensor * slice_rest  = ggml_view_3d(
                 ctx0, corrected, n_embd, n_tokens, n_altup - 1, ggml_row_size(corrected->type, n_embd),
                 ggml_row_size(corrected->type, n_embd * n_tokens), n_embd * n_tokens * ggml_element_size(corrected));
@@ -185,7 +183,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
     // cur now has multiple altup(s), we want to merge them back to 1 altup
     {
-        ggml_tensor * target_magnitude = calc_magnitude(view_2d_slice(cur, i_altup_act));  // [n_embd, n_tokens]
+        ggml_tensor * target_magnitude = calc_magnitude(ggml_view_2d_slice(ctx0, cur, i_altup_act));  // [n_embd, n_tokens]
         // do a view to skip the first slice (active altup)
         ggml_tensor * alt_slice =
             ggml_view_3d(ctx0, cur, n_embd, n_tokens, n_altup - 1, ggml_row_size(cur->type, n_embd),
@@ -197,9 +195,9 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         cb(altup_unembd, "altup_unembd", -1);
 
         // equivalent to torch.mean(hidden_states, dim=0)
-        cur = view_2d_slice(cur, 0);  // [n_embd, n_tokens]
+        cur = ggml_view_2d_slice(ctx0, cur, 0);  // [n_embd, n_tokens]
         for (int i = 0; i < n_altup - 1; ++i) {
-            cur = ggml_add(ctx0, cur, view_2d_slice(altup_unembd, i));
+            cur = ggml_add(ctx0, cur, ggml_view_2d_slice(ctx0, altup_unembd, i));
         }
         cur = ggml_scale(ctx0, cur, 1.0f / float(n_altup));  // [n_embd, n_tokens]
         cb(cur, "unembd_merged", -1);
@@ -235,39 +233,34 @@ ggml_tensor * llm_build_gemma3n_iswa::calc_magnitude(ggml_tensor * x) {
     return ggml_sqrt(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, x)));
 }
 
-// get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim
-ggml_tensor * llm_build_gemma3n_iswa::view_2d_slice(ggml_tensor * x, int idx) {
-    GGML_ASSERT(idx < (int) x->ne[2]);
-    return ggml_view_2d(ctx0, x, x->ne[0], x->ne[1], ggml_row_size(x->type, x->ne[0]),
-                        idx * x->ne[0] * x->ne[1] * ggml_element_size(x));
-}
-
 // equivalent to get_per_layer_inputs() in python code
 // output shape: [n_embd_altup, n_layer, n_tokens]
-ggml_tensor * llm_build_gemma3n_iswa::get_per_layer_inputs() {
+ggml_tensor * llm_build_gemma3n_iswa::build_inp_per_layer() {
     auto inp = std::make_unique<llm_graph_input_embd>(n_embd);
     ggml_tensor * inp_per_layer;
+    float tok_embd_scale = sqrtf((float) n_embd_altup);
     if (ubatch.token) {
         inp->tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, ubatch.n_tokens);
         ggml_set_input(inp->tokens);
         res->t_inp_tokens = inp->tokens;
-        inp_per_layer = ggml_get_rows(ctx0, model.tok_embd_per_layer, inp->tokens);
+        inp_per_layer = ggml_get_rows  (ctx0, model.per_layer_tok_embd, inp->tokens);
         inp_per_layer = ggml_reshape_3d(ctx0, inp_per_layer, n_embd_altup, n_layer, n_tokens);
-        inp_per_layer = ggml_scale(ctx0, inp_per_layer, sqrtf((float) n_embd_altup));
+        inp_per_layer = ggml_scale     (ctx0, inp_per_layer, tok_embd_scale);
         cb(inp_per_layer, "inp_per_layer_selected", -1);
         res->add_input(std::move(inp));
     } else {
-        // Vision embedding path: use padding token (ID=0) embedding
+        // Multimodal embedding path: use padding token (ID=0) embedding
         // TODO: verify if this is the correct behavior in transformers implementation
-        const int64_t embd_size = model.tok_embd_per_layer->ne[0];  // n_embd_altup * n_layer
+        const int64_t embd_size = model.per_layer_tok_embd->ne[0];  // n_embd_altup * n_layer
 
         // Extract and dequantize padding token embedding (row 0)
-        ggml_tensor * padding = ggml_view_1d(ctx0, model.tok_embd_per_layer, embd_size, 0);
-        inp_per_layer = ggml_cast(ctx0, padding, GGML_TYPE_F32);
+        ggml_tensor * padding = ggml_view_1d(ctx0, model.per_layer_tok_embd, embd_size, 0);
+        inp_per_layer = ggml_cast (ctx0, padding, GGML_TYPE_F32);
+        inp_per_layer = ggml_scale(ctx0, inp_per_layer, tok_embd_scale);
 
         // Reshape to [n_embd_altup, n_layer, 1]
         inp_per_layer = ggml_reshape_3d(ctx0, inp_per_layer, n_embd_altup, n_layer, 1);
-        cb(inp_per_layer, "inp_per_layer_vision", -1);
+        cb(inp_per_layer, "inp_per_layer_multimodal", -1);
     }
     return inp_per_layer;
 }
@@ -275,18 +268,19 @@ ggml_tensor * llm_build_gemma3n_iswa::get_per_layer_inputs() {
 // equivalent to project_per_layer_inputs() in python code
 // this calculates the per-layer inputs, so the final tensor shape will have n_layer as the last dim
 // output shape: [n_embd_altup, n_tokens, n_layer]
-ggml_tensor * llm_build_gemma3n_iswa::project_per_layer_inputs(ggml_tensor * inputs_embeds, ggml_tensor * inp_per_layer) {
+ggml_tensor * llm_build_gemma3n_iswa::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) {
     const float per_layer_projection_scale = 1.0f / sqrtf((float) n_embd);
     const float per_layer_input_scale      = 1.0f / sqrtf(2.0f);
 
-    ggml_tensor * per_layer_proj = ggml_mul_mat(ctx0, model.per_layer_model_proj, inputs_embeds);
-    per_layer_proj               = ggml_scale(ctx0, per_layer_proj, per_layer_projection_scale);
-    per_layer_proj               = ggml_reshape_3d(ctx0, per_layer_proj, n_embd_altup, n_layer, n_tokens);
-    per_layer_proj               = build_norm(per_layer_proj, model.per_layer_proj_norm, NULL, LLM_NORM_RMS,
-                                              -1);  // [n_embd_altup, n_layer, n_tokens]
+    ggml_tensor * per_layer_proj;
+    per_layer_proj = ggml_mul_mat   (ctx0, model.per_layer_model_proj, inp_batch);
+    per_layer_proj = ggml_scale     (ctx0, per_layer_proj, per_layer_projection_scale);
+    per_layer_proj = ggml_reshape_3d(ctx0, per_layer_proj, n_embd_altup, n_layer, n_tokens);
+
+    per_layer_proj = build_norm(per_layer_proj, model.per_layer_proj_norm, NULL, LLM_NORM_RMS, -1);
     cb(per_layer_proj, "per_layer_proj", -1);
 
-    inp_per_layer = ggml_add(ctx0, per_layer_proj, inp_per_layer);
+    inp_per_layer = ggml_add  (ctx0, per_layer_proj, inp_per_layer);
     inp_per_layer = ggml_scale(ctx0, inp_per_layer, per_layer_input_scale);
     cb(inp_per_layer, "inp_per_layer", -1);
 
@@ -337,7 +331,7 @@ ggml_tensor * llm_build_gemma3n_iswa::altup_compute_router_modalities(ggml_tenso
 // input cur shape: [n_embd, n_tokens, n_altup]
 // output    shape: [n_embd, n_tokens, n_altup]
 ggml_tensor * llm_build_gemma3n_iswa::altup_predict(ggml_tensor * cur, int il) {
-    ggml_tensor * activated  = view_2d_slice(cur, i_altup_act);                 // [n_embd, n_tokens]
+    ggml_tensor * activated  = ggml_view_2d_slice(ctx0, cur, i_altup_act);      // [n_embd, n_tokens]
     ggml_tensor * modalities = altup_compute_router_modalities(activated, il);  // [n_altup, n_tokens]
     cb(modalities, "modalities", il);
 
@@ -365,7 +359,7 @@ ggml_tensor * llm_build_gemma3n_iswa::altup_correct(ggml_tensor * predictions, g
     ggml_tensor * modalities = altup_compute_router_modalities(activated, il);  // [n_altup, n_tokens]
     cb(modalities, "modalities", il);
 
-    ggml_tensor * active_prediction = view_2d_slice(predictions, i_altup_act);
+    ggml_tensor * active_prediction = ggml_view_2d_slice(ctx0, predictions, i_altup_act);
     ggml_tensor * innovation        = ggml_sub(ctx0, activated, active_prediction);  // [n_embd, n_tokens]
     cb(innovation, "innovation", il);
 
diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp
index 7938545ed8a416623c135c71fcb4c0fe1c82eb84..8d4f4a0155335d75a4dd28a7f102413c4401f56d 100644
--- a/src/models/glm4-moe.cpp
+++ b/src/models/glm4-moe.cpp
@@ -38,27 +38,8 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            }
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            }
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            }
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // Apply Q/K norm if available (GLM-4.5 355B variant)
             if (model.layers[il].attn_q_norm) {
@@ -94,7 +75,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_transformer_layers - 1 && inp_out_ids) {
diff --git a/src/models/glm4.cpp b/src/models/glm4.cpp
index b6ad8febed3070d74eeba89be47183dea96fcd10..f0bfda393fa1c83fd057069bb48a868cdcaa50b8 100644
--- a/src/models/glm4.cpp
+++ b/src/models/glm4.cpp
@@ -1,10 +1,7 @@
 #include "models.h"
 
-
-
 llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -41,40 +38,8 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv == nullptr) {
-                Qcur = build_lora_mm(model.layers[il].wq, cur);
-                if (model.layers[il].bq) {
-                    Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                }
-                Kcur = build_lora_mm(model.layers[il].wk, cur);
-                if (model.layers[il].bk) {
-                    Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                }
-                Vcur = build_lora_mm(model.layers[il].wv, cur);
-                if (model.layers[il].bv) {
-                    Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                }
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            } else {
-                cur = build_lora_mm(model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-                if (model.layers[il].bqkv) {
-                    cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                    cb(cur, "bqkv", il);
-                }
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float), cur->nb[1],
-                                    0 * sizeof(float) * (n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (use_mrope) {
                 Qcur = ggml_rope_multi(ctx0, Qcur, inp_pos, nullptr,
@@ -100,7 +65,7 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_transformer_layers - 1 && inp_out_ids) {
diff --git a/src/models/gpt2.cpp b/src/models/gpt2.cpp
index cb1238f2d3440638f2fe3f6ec21a27cc80867fc9..f8dc53eb723f1b24bb131b133702b1950305f656 100644
--- a/src/models/gpt2.cpp
+++ b/src/models/gpt2.cpp
@@ -2,7 +2,6 @@
 
 llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -34,22 +33,11 @@ llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/gptneox.cpp b/src/models/gptneox.cpp
index 1c8fe6c836d183c0c22becf5d191212e54669eba..0016ddede43da2fdf33259c31dc4523d3adeb5b5 100644
--- a/src/models/gptneox.cpp
+++ b/src/models/gptneox.cpp
@@ -1,9 +1,7 @@
 #include "models.h"
 
-
 llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -28,15 +26,8 @@ llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -55,7 +46,7 @@ llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/granite-hybrid.cpp b/src/models/granite-hybrid.cpp
index 9b54a38c386b3b5eb305b4003d4413ed7817ab1a..e983742bef583f7663962d7f798c0fe6a6ea997b 100644
--- a/src/models/granite-hybrid.cpp
+++ b/src/models/granite-hybrid.cpp
@@ -73,31 +73,7 @@ ggml_tensor * llm_build_granite_hybrid::build_attention_layer(ggml_tensor *
                                                               const llama_model &       model,
                                                               const int64_t             n_embd_head,
                                                               const int                 il) {
-    // compute Q and K and (optionally) RoPE them
-    ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-    cb(Qcur, "Qcur", il);
-    if (model.layers[il].bq) {
-        Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-        cb(Qcur, "Qcur", il);
-    }
-
-    ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-    cb(Kcur, "Kcur", il);
-    if (model.layers[il].bk) {
-        Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-        cb(Kcur, "Kcur", il);
-    }
-
-    ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-    cb(Vcur, "Vcur", il);
-    if (model.layers[il].bv) {
-        Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-        cb(Vcur, "Vcur", il);
-    }
-
-    Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, hparams.n_head(il), n_tokens);
-    Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
+    auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, hparams.n_head(il), hparams.n_head_kv(il), il);
 
     const bool use_rope = hparams.rope_finetuned;
     if (use_rope) {
@@ -116,7 +92,7 @@ ggml_tensor * llm_build_granite_hybrid::build_attention_layer(ggml_tensor *
     const float kq_scale =
         hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
     cur = build_attn(inp_attn,
-            model.layers[il].wo, model.layers[il].bo,
+            model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_out", il);
     return cur;
diff --git a/src/models/granite.cpp b/src/models/granite.cpp
index 7a7e1664c296820a0cc530bf5c7869cd64dcb302..6ea9028522512b7724a26f82860d0d4a42a11a78 100644
--- a/src/models/granite.cpp
+++ b/src/models/granite.cpp
@@ -76,31 +76,8 @@ ggml_tensor * llm_build_granite::build_attention_layer(
     const int64_t                 n_embd_head,
     const int                     il) {
 
-    // compute Q and K and (optionally) RoPE them
-    ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-    cb(Qcur, "Qcur", il);
-    if (model.layers[il].bq) {
-        Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-        cb(Qcur, "Qcur", il);
-    }
-
-    ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-    cb(Kcur, "Kcur", il);
-    if (model.layers[il].bk) {
-        Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-        cb(Kcur, "Kcur", il);
-    }
-
-    ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-    cb(Vcur, "Vcur", il);
-    if (model.layers[il].bv) {
-        Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-        cb(Vcur, "Vcur", il);
-    }
-
-    Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, hparams.n_head(il),    n_tokens);
-    Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
+    auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+            n_embd_head, hparams.n_head(il), hparams.n_head_kv(il), il);
 
     const bool use_rope = hparams.rope_finetuned;
     if (use_rope) {
@@ -124,7 +101,7 @@ ggml_tensor * llm_build_granite::build_attention_layer(
 
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f/sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
     cur = build_attn(inp_attn,
-            model.layers[il].wo, model.layers[il].bo,
+            model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
     return cur;
diff --git a/src/models/grok.cpp b/src/models/grok.cpp
index 580d63e36ae5c6a82ee3cd909c61554e6d784e10..b8f35afdc032fce98cbec84cfa3d96d4124598a2 100644
--- a/src/models/grok.cpp
+++ b/src/models/grok.cpp
@@ -30,27 +30,8 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +50,7 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/grovemoe.cpp b/src/models/grovemoe.cpp
index aa60d3e9388d24062eaf022af11b21c8e5d1a3c3..151108a2a71ffdf927f44e9860ec8928a31c45b6 100644
--- a/src/models/grovemoe.cpp
+++ b/src/models/grovemoe.cpp
@@ -30,18 +30,8 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -60,7 +50,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/hunyuan-dense.cpp b/src/models/hunyuan-dense.cpp
index 6a51707c85ba1edad34dc047059a038c021b1e9e..e4e837eb4f1db573a38808f9a5c2738cb6b06ae8 100644
--- a/src/models/hunyuan-dense.cpp
+++ b/src/models/hunyuan-dense.cpp
@@ -34,27 +34,8 @@ llm_build_hunyuan_dense::llm_build_hunyuan_dense(const llama_model & model, cons
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                         ctx0, Qcur, inp_pos, rope_factors,
@@ -83,7 +64,7 @@ llm_build_hunyuan_dense::llm_build_hunyuan_dense(const llama_model & model, cons
             cb(Qcur, "Qcur_norm", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/hunyuan-moe.cpp b/src/models/hunyuan-moe.cpp
index 806c30b36673e4085cb4ce491df88418878f50f4..ffe1664b0e132403926d0b50e14b469d89e3cddc 100644
--- a/src/models/hunyuan-moe.cpp
+++ b/src/models/hunyuan-moe.cpp
@@ -35,27 +35,8 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -84,7 +65,7 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll
             cb(Qcur, "Qcur_norm", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/internlm2.cpp b/src/models/internlm2.cpp
index 441d250268ee2b0b2da0eb9eed935de9f609ab85..83be2ca0aee64350a8a39f0361b40e1ac578ecec 100644
--- a/src/models/internlm2.cpp
+++ b/src/models/internlm2.cpp
@@ -30,27 +30,8 @@ llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +50,7 @@ llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/jais.cpp b/src/models/jais.cpp
index b28243901ab1489b3d6d2e8f940f930e074461fa..31101f3c14bd3c181941728e37838531a8f1156c 100644
--- a/src/models/jais.cpp
+++ b/src/models/jais.cpp
@@ -2,7 +2,6 @@
 
 llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -24,22 +23,11 @@ llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*cur->nb[0]*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*cur->nb[0]*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*cur->nb[0]*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/float(n_embd_head), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/jais2.cpp b/src/models/jais2.cpp
index 2cfe484eb52d510219086d722f40e36b04106f0e..507e04fa4aa9a93fb342f128fa72c0f3b7ae5de2 100644
--- a/src/models/jais2.cpp
+++ b/src/models/jais2.cpp
@@ -31,25 +31,8 @@ llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_para
 
         // Self-attention with separate Q, K, V projections
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur_bias", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur_bias", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur_bias", il);
-
-            // Reshape for attention
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // Apply RoPE
             Qcur = ggml_rope_ext(
@@ -68,7 +51,7 @@ llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_para
             cb(Kcur, "Kcur_rope", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/jamba.cpp b/src/models/jamba.cpp
index c0c89de187a6464da394aeac762012679dee344b..f82b7795c87f15e68a647d02d0421621e198b228 100644
--- a/src/models/jamba.cpp
+++ b/src/models/jamba.cpp
@@ -24,25 +24,12 @@ llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_para
         } else {
             // Attention
 
-            struct ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            struct ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            struct ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // No RoPE :)
             cur = build_attn(inp_hybrid->get_attn(),
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, NULL, NULL, NULL, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp
index f189b71076a4384c24b78d9a76b2ee2eb8ff9e7d..58c89c417fc371ebb303b44e44420be0668b792c 100644
--- a/src/models/kimi-linear.cpp
+++ b/src/models/kimi-linear.cpp
@@ -268,7 +268,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
                 ggml_tensor * Vcur = kv_cmpr;
                 cb(Vcur, "Vcur", il);
 
-                cur = build_attn(inp_attn_k, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, layer.wv_b, kq_scale_mla, il);
+                cur = build_attn(inp_attn_k, layer.wo, NULL, layer.wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, layer.wv_b, kq_scale_mla, il);
                 cb(cur, "mla_out", il);
             } else { // MLA KV cache disabled. Fall back to MHA KV cache.
                 Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head_k_mla, n_head, n_tokens);
@@ -299,7 +299,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
 
                 // Direct softmax attention (with MHA KV cache)
                 // Use build_attn with inp_attn for proper mask handling
-                cur = build_attn(inp_attn_kv, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il);
+                cur = build_attn(inp_attn_kv, layer.wo, NULL, layer.wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il);
                 cb(cur, "mla_out", il);
             }
         }
diff --git a/src/models/lfm2.cpp b/src/models/lfm2.cpp
index 925c3dc9b2a6e4078582e4e983f17a3bc6a67624..eb8ec3c803a3406637ebd9b4a0446e00ceef46cd 100644
--- a/src/models/lfm2.cpp
+++ b/src/models/lfm2.cpp
@@ -42,16 +42,8 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
         const auto n_embd_head = hparams.n_embd_head_v();
         const auto n_head_kv   = hparams.n_head_kv(il);
 
-        auto * q = build_lora_mm(model.layers[il].wq, cur);
-        cb(q, "model.layers.{}.self_attn.q_proj", il);
-        auto * k = build_lora_mm(model.layers[il].wk, cur);
-        cb(k, "model.layers.{}.self_attn.k_proj", il);
-        auto * v = build_lora_mm(model.layers[il].wv, cur);
-        cb(v, "model.layers.{}.self_attn.v_proj", il);
-
-        q = ggml_reshape_3d(ctx0, q, n_embd_head, n_head, n_tokens);
-        k = ggml_reshape_3d(ctx0, k, n_embd_head, n_head_kv, n_tokens);
-        v = ggml_reshape_3d(ctx0, v, n_embd_head, n_head_kv, n_tokens);
+        auto [q, k, v] = build_qkv(model.layers[il], cur,
+                n_embd_head, n_head, n_head_kv, il);
 
         // qk norm
         q = build_norm(q, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
@@ -66,7 +58,7 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
                           attn_factor, beta_fast, beta_slow);
 
         cur = build_attn(inp_attn,
-                model.layers[il].wo, NULL,
+                model.layers[il].wo, NULL, model.layers[il].wo_s,
                 q, k, v, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
 
         cb(cur, "model.layers.{}.self_attn.out_proj", il);
diff --git a/src/models/llada-moe.cpp b/src/models/llada-moe.cpp
index 18de88fde1f338264bbb08f7d3c262192e7cf54d..c756d6fde5f54ebba9c10fa6bd47896ddb4c9cb5 100644
--- a/src/models/llada-moe.cpp
+++ b/src/models/llada-moe.cpp
@@ -30,18 +30,8 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -66,7 +56,7 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/llada.cpp b/src/models/llada.cpp
index 0dac9d616ae84faf302e5630aab38d258958b232..501df3c7eaf28015774090756ed69f9fc75bdaf2 100644
--- a/src/models/llada.cpp
+++ b/src/models/llada.cpp
@@ -30,17 +30,8 @@ llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute separate Q, K, V projections without bias, matching LLaDALlamaBlock
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                     ext_factor, attn_factor, beta_fast, beta_slow);
@@ -53,7 +44,7 @@ llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/llama-iswa.cpp b/src/models/llama-iswa.cpp
deleted file mode 100644
index 67cb9a10ec5c99e4f412d2877c3a94d2dd6c50a1..0000000000000000000000000000000000000000
--- a/src/models/llama-iswa.cpp
+++ /dev/null
@@ -1,178 +0,0 @@
-#include "models.h"
-
-llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-    GGML_ASSERT(n_embd_head == n_rot);
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    // inp_pos - contains the positions
-    ggml_tensor * inp_pos = build_inp_pos();
-
-    // temperature tuning
-    ggml_tensor * inp_attn_scale = nullptr;
-    inp_attn_scale = build_inp_attn_scale();
-
-    auto * inp_attn = build_attn_inp_kv_iswa();
-
-    const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f/sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        const float freq_base_l  = model.get_rope_freq_base (cparams, il);
-        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
-
-        ggml_tensor * inpSA = inpL;
-
-        // This overlaps with SWA layers in current models, so get_rope_freq_base/scale may be superfluous
-        const bool use_rope = hparams.n_no_rope_layer_step > 0 &&
-                              (il + 1) % hparams.n_no_rope_layer_step != 0;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            // rope freq factors for llama3; may return nullptr for llama2 and other models
-            ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
-
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            if (use_rope) {
-                Qcur = ggml_rope_ext(
-                        ctx0, Qcur, inp_pos, rope_factors,
-                        n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                        ext_factor, attn_factor, beta_fast, beta_slow
-                        );
-
-                Kcur = ggml_rope_ext(
-                        ctx0, Kcur, inp_pos, rope_factors,
-                        n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                        ext_factor, attn_factor, beta_fast, beta_slow
-                        );
-            } else if (inp_attn_scale) {
-                Qcur = ggml_mul(ctx0, Qcur, inp_attn_scale);
-            }
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            if (use_rope && hparams.use_kq_norm) {
-                // Llama4TextL2Norm
-                Qcur = ggml_rms_norm(ctx0, Qcur, hparams.f_norm_rms_eps);
-                Kcur = ggml_rms_norm(ctx0, Kcur, hparams.f_norm_rms_eps);
-                cb(Qcur, "Qcur_normed", il);
-                cb(Kcur, "Kcur_normed", il);
-            }
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
-            cb(cur, "attn_out", il);
-        }
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network (non-MoE)
-        if (model.layers[il].ffn_gate_inp == nullptr) {
-            cur = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
-                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
-                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
-                    NULL,
-                    LLM_FFN_SILU, LLM_FFN_PAR, il);
-            cb(cur, "ffn_out", il);
-        } else {
-            ggml_tensor * ffn_inp_normed = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            ggml_tensor * moe_out = build_moe_ffn(ffn_inp_normed,
-                    model.layers[il].ffn_gate_inp,
-                    model.layers[il].ffn_up_exps,
-                    model.layers[il].ffn_gate_exps,
-                    model.layers[il].ffn_down_exps,
-                    nullptr,
-                    n_expert, n_expert_used,
-                    LLM_FFN_SILU, false,
-                    hparams.expert_weights_scale,
-                    LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
-                    il);
-
-            // Shared experts
-            ggml_tensor * shexp_out = build_ffn(ffn_inp_normed,
-                model.layers[il].ffn_up_shexp,   NULL, NULL,
-                model.layers[il].ffn_gate_shexp, NULL, NULL,
-                model.layers[il].ffn_down_shexp, NULL, NULL,
-                NULL,
-                LLM_FFN_SILU, LLM_FFN_PAR, il);
-            cb(shexp_out, "ffn_moe_shexp", il);
-
-            cur = ggml_add(ctx0, moe_out, shexp_out);
-            cb(cur, "ffn_moe_out_merged", il);
-        }
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/llama.cpp b/src/models/llama.cpp
index e08ae0c0b0e14f496556778c3ccb32f3400fcc71..ddaa6c40f59599816e83064f15f474d67c1724a5 100644
--- a/src/models/llama.cpp
+++ b/src/models/llama.cpp
@@ -43,27 +43,8 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -89,7 +70,7 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
                 cb(Kcur, "Kcur_normed", il);
             }
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             if (model.layers[il].wo_s) {
                 cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
diff --git a/src/models/maincoder.cpp b/src/models/maincoder.cpp
index a72b7790a1f706655471f04b7a10fb298c59f8d2..8a76931c00785683d8bf925bd7425d255989a0ac 100644
--- a/src/models/maincoder.cpp
+++ b/src/models/maincoder.cpp
@@ -30,18 +30,8 @@ llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -66,7 +56,7 @@ llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/mimo2-iswa.cpp b/src/models/mimo2-iswa.cpp
index 06956915ea092670c4d77a9dc4dc05c428a20017..52c6acfe2143f7e6600fd73fc7e9bd2fee15fdc4 100644
--- a/src/models/mimo2-iswa.cpp
+++ b/src/models/mimo2-iswa.cpp
@@ -58,7 +58,7 @@ llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_
             ggml_tensor * sinks = model.layers[il].attn_sinks;
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, sinks, nullptr, 1.0f/sqrtf(float(n_embd_head_k)), il);
         }
 
diff --git a/src/models/minicpm3.cpp b/src/models/minicpm3.cpp
index 89dd71051577e80eb07d9c1ddd81e7485bee580c..bf12ab73c74cea119ef5ff6b0c4e428af6189a1a 100644
--- a/src/models/minicpm3.cpp
+++ b/src/models/minicpm3.cpp
@@ -134,7 +134,7 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap
             cb(k_states, "k_states", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     q_states, k_states, v_states, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/minimax-m2.cpp b/src/models/minimax-m2.cpp
index 83d0916c08c1888ab418772c7702ad37d09e62a9..b809b79f2b9f55fe4c54a0721dffc770ae850136 100644
--- a/src/models/minimax-m2.cpp
+++ b/src/models/minimax-m2.cpp
@@ -64,7 +64,7 @@ llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/mistral3.cpp b/src/models/mistral3.cpp
index 42a5117ff020253754a6ecca26dce9b60291af2b..b5ae72a2ee1349302a31a7cc0d51221ac236a104 100644
--- a/src/models/mistral3.cpp
+++ b/src/models/mistral3.cpp
@@ -41,27 +41,8 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -86,7 +67,7 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap
             }
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/models.h b/src/models/models.h
index a86b2b1ebd79cd0dc221c1871753394d3ef14f3a..94991c55fe879b4c78b026fbf0c186f2f98df203 100644
--- a/src/models/models.h
+++ b/src/models/models.h
@@ -256,9 +256,11 @@ struct llm_build_gemma3n_iswa : public llm_graph_context {
 
     llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params);
     ggml_tensor * calc_magnitude(ggml_tensor * x);
-    ggml_tensor * view_2d_slice(ggml_tensor * x, int idx);
-    ggml_tensor * get_per_layer_inputs();
-    ggml_tensor * project_per_layer_inputs(ggml_tensor * inputs_embeds, ggml_tensor * inp_per_layer);
+
+    // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER]
+    ggml_tensor * build_inp_per_layer();
+    ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer);
+
     ggml_tensor * gaussian_topk(ggml_tensor * x);
     ggml_tensor * altup_compute_router_modalities(ggml_tensor * x, int il);
     ggml_tensor * altup_predict(ggml_tensor * cur, int il);
@@ -266,6 +268,18 @@ struct llm_build_gemma3n_iswa : public llm_graph_context {
     ggml_tensor * altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il);
 };
 
+struct llm_build_gemma4_iswa : public llm_graph_context {
+    const llama_model & model;
+
+    const int64_t n_embd_per_layer;
+
+    llm_build_gemma4_iswa(const llama_model & model, const llm_graph_params & params);
+
+    // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER]
+    ggml_tensor * build_inp_per_layer();
+    ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer);
+};
+
 struct llm_build_gemma_embedding : public llm_graph_context {
     llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params);
 };
@@ -393,8 +407,9 @@ struct llm_build_llama : public llm_graph_context {
     llm_build_llama(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_llama_iswa : public llm_graph_context {
-    llm_build_llama_iswa(const llama_model & model, const llm_graph_params & params);
+template <bool iswa>
+struct llm_build_llama4 : public llm_graph_context {
+    llm_build_llama4(const llama_model & model, const llm_graph_params & params);
 };
 
 struct llm_build_maincoder : public llm_graph_context {
@@ -481,7 +496,7 @@ struct llm_build_phi2 : public llm_graph_context {
     llm_build_phi2(const llama_model & model, const llm_graph_params & params);
 };
 
-template<bool iswa>
+template <bool iswa>
 struct llm_build_phi3 : public llm_graph_context {
     llm_build_phi3(const llama_model & model, const llm_graph_params & params);
 };
@@ -687,12 +702,13 @@ struct llm_build_step35_iswa : public llm_graph_context {
     llm_build_step35_iswa(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_t5_dec : public llm_graph_context {
-    llm_build_t5_dec(const llama_model & model, const llm_graph_params & params);
+template <bool is_enc>
+struct llm_build_t5 : public llm_graph_context {
+    llm_build_t5(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_t5_enc : public llm_graph_context {
-    llm_build_t5_enc(const llama_model & model, const llm_graph_params & params);
+struct llm_build_t5encoder : public llm_build_t5<true> {
+    llm_build_t5encoder(const llama_model & model, const llm_graph_params & params);
 };
 
 struct llm_build_wavtokenizer_dec : public llm_graph_context {
diff --git a/src/models/modern-bert.cpp b/src/models/modern-bert.cpp
index 26020584c6dbff95a7dc0da2ba58eb067fc2cae6..5c6a1b5e1bcc30731d71e534675ee102e651a6f0 100644
--- a/src/models/modern-bert.cpp
+++ b/src/models/modern-bert.cpp
@@ -2,7 +2,6 @@
 
 llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -15,8 +14,8 @@ llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const ll
     cb(inpL, "inp_embd", -1);
 
     // embed layer norm
-    inpL = build_norm(inpL, model.tok_norm, nullptr, LLM_NORM, -1);
-    cb(inpL, "inp_norm", -1);
+    inpL = build_norm(inpL, model.tok_norm, nullptr, LLM_NORM, 0);
+    cb(inpL, "inp_norm", 0);
 
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
@@ -37,14 +36,8 @@ llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const ll
         }
 
         // self attention
-        cur = build_lora_mm(model.layers[il].wqkv, cur);
-        cb(cur, "wqkv", il);
-
-        const size_t type_size = ggml_type_size(cur->type);
-
-        ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*type_size, cur->nb[1], 0*type_size*(n_embd));
-        ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*type_size, cur->nb[1], 1*type_size*(n_embd));
-        ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*type_size, cur->nb[1], 1*type_size*(n_embd + n_embd_gqa));
+        auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                n_embd_head, n_head, n_head_kv, il);
 
         // RoPE
         Qcur = ggml_rope_ext(
@@ -64,7 +57,7 @@ llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const ll
         cb(Vcur, "Vcur", il);
 
         cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         cb(cur, "kqv_out", il);
 
diff --git a/src/models/mpt.cpp b/src/models/mpt.cpp
index ce44a805f5c2d849e4d25bc913d5d43a618dea3e..8596bbb2024ce3ae1c8803d4c54161824b9caf36 100644
--- a/src/models/mpt.cpp
+++ b/src/models/mpt.cpp
@@ -1,10 +1,7 @@
 #include "models.h"
 
-
-
 llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -38,25 +35,8 @@ llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params &
         {
             cur = attn_norm;
 
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            if (model.layers[il].bqkv) {
-                cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                cb(cur, "bqkv", il);
-            }
-
-            if (hparams.f_clamp_kqv > 0.0f) {
-                cur = ggml_clamp(ctx0, cur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(cur, "wqkv_clamped", il);
-            }
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 0 * sizeof(float) * (n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // Q/K Layernorm
             if (model.layers[il].attn_q_norm) {
@@ -76,7 +56,7 @@ llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params &
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp
index d3fccfb70d48877e5f4a18521125758e168e0d6c..dc07d43df589c380afc16bd09a0b52f7b2f6bca4 100644
--- a/src/models/nemotron-h.cpp
+++ b/src/models/nemotron-h.cpp
@@ -65,40 +65,12 @@ ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor *
                                                           const llama_model &       model,
                                                                 int64_t             n_embd_head,
                                                                 int                 il) {
-    // compute Q and K
-    ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-    cb(Qcur, "Qcur", il);
-    if (model.layers[il].bq) {
-        Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-        cb(Qcur, "Qcur", il);
-    }
-
-    ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-    cb(Kcur, "Kcur", il);
-    if (model.layers[il].bk) {
-        Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-        cb(Kcur, "Kcur", il);
-    }
-
-    ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-    cb(Vcur, "Vcur", il);
-    if (model.layers[il].bv) {
-        Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-        cb(Vcur, "Vcur", il);
-    }
-
-    Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, hparams.n_head(il), n_tokens);
-    Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-
-    cb(Qcur, "Qcur", il);
-    cb(Kcur, "Kcur", il);
-    cb(Vcur, "Vcur", il);
+    auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, hparams.n_head(il), hparams.n_head_kv(il), il);
 
     const float kq_scale =
         hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
     cur = build_attn(inp_attn,
-            model.layers[il].wo, model.layers[il].bo,
+            model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_out", il);
     return cur;
diff --git a/src/models/nemotron.cpp b/src/models/nemotron.cpp
index 34aa6fa5ec4cf82d6d7e8856ca65d8486d70949d..054b16fe0efd47a99344a9b65f59bfe7c25ae370 100644
--- a/src/models/nemotron.cpp
+++ b/src/models/nemotron.cpp
@@ -31,27 +31,8 @@ llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_grap
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -70,7 +51,7 @@ llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/neo-bert.cpp b/src/models/neo-bert.cpp
index 2fdf4a3692f649b685b0fd805920707dea22b30a..da68024a34d11f3771edd8d557085ebd94f61651 100644
--- a/src/models/neo-bert.cpp
+++ b/src/models/neo-bert.cpp
@@ -2,7 +2,6 @@
 
 llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -27,17 +26,8 @@ llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_grap
                 LLM_NORM_RMS, il);
 
         {
-            ggml_tensor * Qcur;
-            ggml_tensor * Kcur;
-            ggml_tensor * Vcur;
-
-            // self-attention
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // RoPE
             Qcur = ggml_rope_ext(
@@ -57,7 +47,7 @@ llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
             cb(cur, "kqv_out", il);
         }
diff --git a/src/models/olmo.cpp b/src/models/olmo.cpp
index 26f4b6ee628523eee8c2f7bd0fb68958cd290fe9..a9974025f07d78cc54f87e24fecd11de2a7038dc 100644
--- a/src/models/olmo.cpp
+++ b/src/models/olmo.cpp
@@ -30,27 +30,8 @@ llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (hparams.f_clamp_kqv > 0.0f) {
-                Qcur = ggml_clamp(ctx0, Qcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (hparams.f_clamp_kqv > 0.0f) {
-                Kcur = ggml_clamp(ctx0, Kcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (hparams.f_clamp_kqv > 0.0f) {
-                Vcur = ggml_clamp(ctx0, Vcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +50,7 @@ llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/olmo2.cpp b/src/models/olmo2.cpp
index 5076359e3f9aa887e6ee80bcf342f6fec1dad006..308d2a600c2e77f450388508e421fb42bdd807a3 100644
--- a/src/models/olmo2.cpp
+++ b/src/models/olmo2.cpp
@@ -89,7 +89,7 @@ llm_build_olmo2<iswa>::llm_build_olmo2(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/olmoe.cpp b/src/models/olmoe.cpp
index 83a56a0b3b6a2f8e76e2d368aa1bc117aa964be5..ed46a00ef9094e91e2c1cd8a69b98a7eac15663f 100644
--- a/src/models/olmoe.cpp
+++ b/src/models/olmoe.cpp
@@ -68,7 +68,7 @@ llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/openai-moe-iswa.cpp b/src/models/openai-moe-iswa.cpp
index 403f130bc41f96ca5a279c0ecc72ea320fc09808..50992b8d5060879bd6ac92ba290aea0cd46edfc5 100644
--- a/src/models/openai-moe-iswa.cpp
+++ b/src/models/openai-moe-iswa.cpp
@@ -28,27 +28,8 @@ llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model,
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_rot, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_rot, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -67,7 +48,7 @@ llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model,
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, model.layers[il].attn_sinks, nullptr, 1.0f/sqrtf(float(n_rot)), il);
 
             cb(cur, "attn_out", il);
diff --git a/src/models/openelm.cpp b/src/models/openelm.cpp
index 5df6fe3e3ce8f71f36457a64dd2579f053be04c6..514ac33517f5858e7c1ff7f7cf2cf36e88c0e493 100644
--- a/src/models/openelm.cpp
+++ b/src/models/openelm.cpp
@@ -73,7 +73,7 @@ llm_build_openelm::llm_build_openelm(const llama_model & model, const llm_graph_
             cb(Qcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/orion.cpp b/src/models/orion.cpp
index 48c01efe368111d5dd861b97ee7f1a938e7fd9f2..a5874b6dee77670c0ff48a84cb5e826cefe5aee8 100644
--- a/src/models/orion.cpp
+++ b/src/models/orion.cpp
@@ -30,30 +30,8 @@ llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            // if (model.layers[il].bq) {
-            //     Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            //     cb(Qcur, "Qcur", il);
-            // }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            // if (model.layers[il].bk) {
-            //     Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            //     cb(Kcur, "Kcur", il);
-            // }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            // if (model.layers[il].bv) {
-            //     Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            //     cb(Vcur, "Vcur", il);
-            // }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -72,7 +50,7 @@ llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/paddleocr.cpp b/src/models/paddleocr.cpp
index 340455c2d5f07614e4e786043b36a76073225b04..56cb1d94c5f1129077888855427cdaada37b38fe 100644
--- a/src/models/paddleocr.cpp
+++ b/src/models/paddleocr.cpp
@@ -35,27 +35,8 @@ llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_gr
         }
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_multi(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -74,7 +55,7 @@ llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1) {
diff --git a/src/models/pangu-embedded.cpp b/src/models/pangu-embedded.cpp
index 1cf0938e68f9cca814c13e9cad87c6f4246c2d4c..53464f21d22a12a87813a40158aaef4ff757c7b7 100644
--- a/src/models/pangu-embedded.cpp
+++ b/src/models/pangu-embedded.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -31,21 +30,8 @@ llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, co
         // self attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -63,7 +49,7 @@ llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, co
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/phi2.cpp b/src/models/phi2.cpp
index 32d40d71fb71fb777883417a6e111685094288de..0fb3ffa2e63df5d347d07ff10482a7a3fc8196d2 100644
--- a/src/models/phi2.cpp
+++ b/src/models/phi2.cpp
@@ -1,9 +1,7 @@
 #include "models.h"
 
-
 llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -30,29 +28,8 @@ llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv) {
-                cur = build_lora_mm(model.layers[il].wqkv, attn_norm_output);
-                cb(cur, "wqkv", il);
-
-                cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                cb(cur, "bqkv", il);
-
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-            } else {
-                Qcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wq, attn_norm_output), model.layers[il].bq);
-                Kcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wk, attn_norm_output), model.layers[il].bk);
-                Vcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wv, attn_norm_output), model.layers[il].bv);
-
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], attn_norm_output,
+                    n_embd_head, n_head, n_head_kv, il);
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
                     n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -74,7 +51,7 @@ llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params
             Qcur = ggml_scale(ctx0, Qcur, 1.0f/sqrtf(float(n_embd_head)));
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/phi3.cpp b/src/models/phi3.cpp
index 3d11a9459c4caf0d93ed73434767936438b5d080..39af285d3c522a5ce9cb0ac469429c8991df4585 100644
--- a/src/models/phi3.cpp
+++ b/src/models/phi3.cpp
@@ -3,7 +3,6 @@
 template<bool iswa>
 llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -39,27 +38,8 @@ llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_
                     LLM_NORM_RMS, il);
             cb(attn_norm_output, "attn_norm", il);
 
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv) {
-                cur = build_lora_mm(model.layers[il].wqkv, attn_norm_output);
-                cb(cur, "wqkv", il);
-
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head * sizeof(float), cur->nb[1], 0 * sizeof(float) * (n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float), cur->nb[1], 1 * sizeof(float) * (n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float), cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
-                }
-                else {
-                Qcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wq, attn_norm_output), model.layers[il].bq);
-                Kcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wk, attn_norm_output), model.layers[il].bk);
-                Vcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wv, attn_norm_output), model.layers[il].bv);
-
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], attn_norm_output,
+                    n_embd_head, n_head, n_head_kv, il);
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
                     n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -80,7 +60,7 @@ llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_
             cb(Qcur, "Qcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/plamo.cpp b/src/models/plamo.cpp
index b7a7121104258e29b047736a8a052ecebffb6616..4d5c84506c2c1ea8a994ade6406097c5521ce6fa 100644
--- a/src/models/plamo.cpp
+++ b/src/models/plamo.cpp
@@ -30,18 +30,8 @@ llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -60,7 +50,7 @@ llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/plamo2.cpp b/src/models/plamo2.cpp
index 0bde0b3d8f108c135a3ebd67034fd176ce7c9340..b6142daebd9ed40eb4015d997c0ab4ecbd39f698 100644
--- a/src/models/plamo2.cpp
+++ b/src/models/plamo2.cpp
@@ -141,7 +141,7 @@ ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv
                              ext_factor, attn_factor, beta_fast, beta_slow);
 
         cur = build_attn(inp,
-            model.layers[il].wo, NULL,
+            model.layers[il].wo, NULL, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, NULL, NULL, NULL, 1.0f / sqrtf(float(n_embd_head_v)), il);
     }
 
diff --git a/src/models/plamo3.cpp b/src/models/plamo3.cpp
index 7cb9da6e7d10beda0b4b04e18affb2be4e1879db..67844c09f2448da62f25157cef059cbda3472029 100644
--- a/src/models/plamo3.cpp
+++ b/src/models/plamo3.cpp
@@ -73,7 +73,7 @@ llm_build_plamo3<iswa>::llm_build_plamo3(const llama_model & model, const llm_gr
         const float attn_scale = 1.0f / sqrtf(float(head_dim_q));
 
         cur = build_attn(inp_attn,
-                model.layers[il].wo, NULL,
+                model.layers[il].wo, NULL, model.layers[il].wo_s,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, attn_scale, il);
         cb(cur, "attn_out", il);
 
diff --git a/src/models/plm.cpp b/src/models/plm.cpp
index bcb651ce543f328d10b301dd0979d9dc180b39cd..abce6b34d04322f3161c8b44879272235ceeb6d6 100644
--- a/src/models/plm.cpp
+++ b/src/models/plm.cpp
@@ -120,7 +120,7 @@ llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params &
             cb(k_states, "k_states", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     q_states, k_states, v_states, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen.cpp b/src/models/qwen.cpp
index 7390f1320bf5d0071012150c779a80c0d72c326d..44e75d87437996eeb42f444252a8aec780253754 100644
--- a/src/models/qwen.cpp
+++ b/src/models/qwen.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -28,15 +27,8 @@ llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 2*sizeof(float)*(n_embd));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // using mode = 2 for neox mode
             Qcur = ggml_rope_ext(
@@ -56,7 +48,7 @@ llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen2.cpp b/src/models/qwen2.cpp
index 58c10622508422a786bd9c4e90edf81d680e103e..2892dd7508768775c6c6263505ce8c2742953aa5 100644
--- a/src/models/qwen2.cpp
+++ b/src/models/qwen2.cpp
@@ -30,30 +30,8 @@ llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -72,7 +50,7 @@ llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen2moe.cpp b/src/models/qwen2moe.cpp
index 60761789dc9c378e2ffa3f473b3593b91d222a1c..5f0a6861b68ddc829852977b10f48aa724fc862d 100644
--- a/src/models/qwen2moe.cpp
+++ b/src/models/qwen2moe.cpp
@@ -30,27 +30,8 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +50,7 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen2vl.cpp b/src/models/qwen2vl.cpp
index 9004bab9db12a433132248f8092b9adc56f5d1b8..da7937c7667f2585707b20bfbad7a1b5e106975f 100644
--- a/src/models/qwen2vl.cpp
+++ b/src/models/qwen2vl.cpp
@@ -33,21 +33,8 @@ llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_multi(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -66,7 +53,7 @@ llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen3.cpp b/src/models/qwen3.cpp
index 52081668477a93ccbc68516bfedb447ad2ca9685..e6f1fc81d8839c46ba1887d8c736ae3d254ea8b3 100644
--- a/src/models/qwen3.cpp
+++ b/src/models/qwen3.cpp
@@ -30,18 +30,8 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -66,7 +56,7 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
             if (model.layers[il].wo_s) {
                 cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp
index e0e48d2a4fe7d2af18f557802949d26e8b33ad28..87790f08e4ee8233cfdfca1102c1f824482579cc 100644
--- a/src/models/qwen35.cpp
+++ b/src/models/qwen35.cpp
@@ -179,7 +179,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn(
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
-                nullptr, nullptr,
+                nullptr, nullptr, nullptr,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
@@ -225,6 +225,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(beta, "beta", il);
 
     beta = ggml_sigmoid(ctx0, beta);
+    cb(beta, "beta_sigmoid", il);
 
     ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur, model.layers[il].ssm_alpha_s);
     alpha = ggml_reshape_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs);
@@ -269,7 +270,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(last_conv_states, "last_conv_states", il);
 
     ggml_tensor * state_update_target =
-        ggml_view_1d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels * n_seqs,
+        ggml_view_2d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels, n_seqs, conv_states_all->nb[1],
                      kv_head * (conv_kernel_size - 1) * conv_channels * ggml_element_size(conv_states_all));
     cb(state_update_target, "state_update_target", il);
 
@@ -345,7 +346,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     // Update the recurrent states
     ggml_build_forward_expand(gf,
             ggml_cpy(ctx0, new_state,
-                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                ggml_view_2d(ctx0, ssm_states_all, hparams.n_embd_s(), n_seqs, ssm_states_all->nb[1],
                     kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp
index 15baea80b630ecaf8a06a9a4b89e3243f8cdd5d5..7dc6a23c75183538bb1beb6f502154aa3a1991d2 100644
--- a/src/models/qwen35moe.cpp
+++ b/src/models/qwen35moe.cpp
@@ -179,7 +179,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn(
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
-                nullptr, nullptr,
+                nullptr, nullptr, nullptr,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
@@ -225,6 +225,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(beta, "beta", il);
 
     beta = ggml_sigmoid(ctx0, beta);
+    cb(beta, "beta_sigmoid", il);
 
     ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur, model.layers[il].ssm_alpha_s);
     alpha = ggml_reshape_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs);
@@ -269,7 +270,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(last_conv_states, "last_conv_states", il);
 
     ggml_tensor * state_update_target =
-        ggml_view_1d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels * n_seqs,
+        ggml_view_2d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels, n_seqs, conv_states_all->nb[1],
                      kv_head * (conv_kernel_size - 1) * conv_channels * ggml_element_size(conv_states_all));
     cb(state_update_target, "state_update_target", il);
 
@@ -345,7 +346,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     // Update the recurrent states
     ggml_build_forward_expand(gf,
             ggml_cpy(ctx0, new_state,
-                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                ggml_view_2d(ctx0, ssm_states_all, hparams.n_embd_s(), n_seqs, ssm_states_all->nb[1],
                     kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
diff --git a/src/models/qwen3moe.cpp b/src/models/qwen3moe.cpp
index dba46618ff2003460e6c75d5202054807aee493e..dc554b5b3a988142bc9582cb5f50a26cb05b7b68 100644
--- a/src/models/qwen3moe.cpp
+++ b/src/models/qwen3moe.cpp
@@ -30,18 +30,8 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -66,7 +56,7 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
             if (model.layers[il].wo_s) {
                 cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
diff --git a/src/models/qwen3next.cpp b/src/models/qwen3next.cpp
index dbfc0874db87f12655851e0b64dd97fd087db39a..1beda70b7cf099d10eeef5b4802f5b91a9840e45 100644
--- a/src/models/qwen3next.cpp
+++ b/src/models/qwen3next.cpp
@@ -157,7 +157,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
-                nullptr, nullptr,
+                nullptr, nullptr, nullptr,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
@@ -172,7 +172,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
     cur = ggml_mul(ctx0, cur, gate);
     cb(cur, "attn_gated", il);
 
-    cur = build_lora_mm(model.layers[il].wo, cur);
+    cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
     cb(cur, "attn_output", il);
 
     return cur;
@@ -354,7 +354,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     cb(last_conv_states, "last_conv_states", il);
 
     ggml_tensor * state_update_target =
-        ggml_view_1d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels * n_seqs,
+        ggml_view_2d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels, n_seqs, conv_states_all->nb[1],
                      kv_head * (conv_kernel_size - 1) * conv_channels * ggml_element_size(conv_states_all));
     cb(state_update_target, "state_update_target", il);
 
@@ -414,19 +414,19 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
         GGML_ASSERT(num_v_heads % num_k_heads == 0);
         int64_t repeat_factor = num_v_heads / num_k_heads;
 
-        // repeat interleave: reshape to (repeat part, 1, remaining part), do repeat, then reshape back
-        ggml_tensor * q_reshaped = ggml_reshape_3d(ctx0, q_conv, head_k_dim, 1, num_k_heads * n_seq_tokens * n_seqs);
-        ggml_tensor * k_reshaped = ggml_reshape_3d(ctx0, k_conv, head_k_dim, 1, num_k_heads * n_seq_tokens * n_seqs);
+        // repeat interleave: reshape to (repeat part, 1, remaining part...), do repeat, then reshape back
+        ggml_tensor * q_reshaped = ggml_reshape_4d(ctx0, q_conv, head_k_dim, 1, num_k_heads, n_seq_tokens * n_seqs);
+        ggml_tensor * k_reshaped = ggml_reshape_4d(ctx0, k_conv, head_k_dim, 1, num_k_heads, n_seq_tokens * n_seqs);
 
         // Repeat along the third dimension (the new dimension with size 1)
         ggml_tensor * q_repeated =
-            ggml_repeat_4d(ctx0, q_reshaped, head_k_dim, repeat_factor, num_k_heads * n_seq_tokens * n_seqs, 1);
+            ggml_repeat_4d(ctx0, q_reshaped, head_k_dim, repeat_factor, num_k_heads, n_seq_tokens * n_seqs);
         ggml_tensor * k_repeated =
-            ggml_repeat_4d(ctx0, k_reshaped, head_k_dim, repeat_factor, num_k_heads * n_seq_tokens * n_seqs, 1);
+            ggml_repeat_4d(ctx0, k_reshaped, head_k_dim, repeat_factor, num_k_heads, n_seq_tokens * n_seqs);
 
         // Reshape back to merge the head and repeat dimensions
-        // From [head_dim, num_k_heads, repeat_factor, n_seq_tokens * n_seqs]
-        // Back to [head_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs]
+        // From [head_dim, repeat_factor, num_k_heads, n_seq_tokens * n_seqs]
+        // Back to [head_dim, repeat_factor * num_k_heads, n_seq_tokens, n_seqs]
         q_conv = ggml_reshape_4d(ctx0, q_repeated, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
         k_conv = ggml_reshape_4d(ctx0, k_repeated, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
     }
@@ -445,7 +445,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     // Update the recurrent states
     ggml_build_forward_expand(gf,
             ggml_cpy(ctx0, new_state,
-                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                ggml_view_2d(ctx0, ssm_states_all, hparams.n_embd_s(), n_seqs, ssm_states_all->nb[1],
                     kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
diff --git a/src/models/qwen3vl-moe.cpp b/src/models/qwen3vl-moe.cpp
index 195daea66c988949c8a6a945037b3c3038552610..29ee8278a4d9e8e64c8b43baae201edfc18a050a 100644
--- a/src/models/qwen3vl-moe.cpp
+++ b/src/models/qwen3vl-moe.cpp
@@ -36,18 +36,8 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -72,7 +62,7 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/qwen3vl.cpp b/src/models/qwen3vl.cpp
index bbd5f42ba5bd8db77a16eee2982185ca469fe81b..faa5f2ef3c85bb8fb6d534860e18fc7581c1a1c0 100644
--- a/src/models/qwen3vl.cpp
+++ b/src/models/qwen3vl.cpp
@@ -36,18 +36,8 @@ llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -72,7 +62,7 @@ llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/refact.cpp b/src/models/refact.cpp
index 140700d9e2d8b46b4325ce331fadd2080fc25c26..398eb368db09da45dd07bf1250cedb4247e5a96b 100644
--- a/src/models/refact.cpp
+++ b/src/models/refact.cpp
@@ -24,25 +24,15 @@ llm_build_refact::llm_build_refact(const llama_model & model, const llm_graph_pa
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cb(Qcur, "Qcur", il);
             cb(Kcur, "Kcur", il);
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/rnd1.cpp b/src/models/rnd1.cpp
index c8e1f43400fffbed70f618c372342fa319c1148a..a917c19f25a62943e5f4f967cf82a7dbce9d8a29 100644
--- a/src/models/rnd1.cpp
+++ b/src/models/rnd1.cpp
@@ -32,18 +32,8 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -68,7 +58,7 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/rwkv6.cpp b/src/models/rwkv6.cpp
index 15453fbf50f518d589a30cacfe3ed7311a828ef8..032b219d6cbf6c5ea6fab44967f632c811d73b0c 100644
--- a/src/models/rwkv6.cpp
+++ b/src/models/rwkv6.cpp
@@ -8,7 +8,7 @@ llm_build_rwkv6::llm_build_rwkv6(const llama_model & model, const llm_graph_para
     ggml_tensor * inpL;
 
     inpL = build_inp_embd(model.tok_embd);
-    inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, -1);
+    inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, 0);
 
     auto * rs_inp = build_rs_inp();
 
diff --git a/src/models/rwkv7.cpp b/src/models/rwkv7.cpp
index 5caf6553dfe1a34f20f7f05dfd32c27d9e514ae0..16ffa6901b958b2a6ec4c84e572571f4bb412f26 100644
--- a/src/models/rwkv7.cpp
+++ b/src/models/rwkv7.cpp
@@ -9,7 +9,7 @@ llm_build_rwkv7::llm_build_rwkv7(const llama_model & model, const llm_graph_para
     ggml_tensor * v_first = nullptr;
 
     inpL = build_inp_embd(model.tok_embd);
-    inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, -1);
+    inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, 0);
 
     auto * rs_inp = build_rs_inp();
 
diff --git a/src/models/seed-oss.cpp b/src/models/seed-oss.cpp
index a4d0b75d84699020307e5c53361055068dbbbef1..6db8d9781fe03847d4f80996a10651fe08301bf3 100644
--- a/src/models/seed-oss.cpp
+++ b/src/models/seed-oss.cpp
@@ -32,27 +32,8 @@ llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_grap
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -71,7 +52,7 @@ llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/smallthinker.cpp b/src/models/smallthinker.cpp
index 0f7ef462b0fa11c9f481a56696cdc7932580fcc7..55d09ec325d2e82552e41907dc55db93001557e5 100644
--- a/src/models/smallthinker.cpp
+++ b/src/models/smallthinker.cpp
@@ -45,18 +45,8 @@ llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model,
         // self_attention
         {
             // compute Q and K and RoPE them
-            struct ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            struct ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            struct ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (use_rope) {
                 Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
@@ -69,7 +59,7 @@ llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model,
             cb(Kcur, "Kcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/smollm3.cpp b/src/models/smollm3.cpp
index e267fd8f32f5cb3bec368dc1d5e51cccbee60049..83636dbf546e1b795c4b50f7f64594057d17dd6d 100644
--- a/src/models/smollm3.cpp
+++ b/src/models/smollm3.cpp
@@ -34,27 +34,8 @@ llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (use_rope) {
                 Qcur = ggml_rope_ext(
@@ -74,7 +55,7 @@ llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/stablelm.cpp b/src/models/stablelm.cpp
index ff5aced93b3f4e7648addfda066155eaa3c121d6..9c19abd8835cc6dc2c5761975e44c6888eaeba1b 100644
--- a/src/models/stablelm.cpp
+++ b/src/models/stablelm.cpp
@@ -30,30 +30,8 @@ llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_grap
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
                 Qcur = build_norm(Qcur,
@@ -87,7 +65,7 @@ llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/starcoder.cpp b/src/models/starcoder.cpp
index 941cee982194abd4426ee2e93d79cf42b7c3508f..cf9fe95c35bfaf7a0f726215a2677a90dc4cc716 100644
--- a/src/models/starcoder.cpp
+++ b/src/models/starcoder.cpp
@@ -2,7 +2,6 @@
 
 llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -33,22 +32,11 @@ llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_gr
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/starcoder2.cpp b/src/models/starcoder2.cpp
index a5965aceb3b4ac4b12923dafbf76a915985e4b72..b6d4d5aac1abee3e9d8e67488071d54c9d6b20fa 100644
--- a/src/models/starcoder2.cpp
+++ b/src/models/starcoder2.cpp
@@ -30,27 +30,8 @@ llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +50,7 @@ llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/step35-iswa.cpp b/src/models/step35-iswa.cpp
index c80cb26c5af65a07778833c222b3bc6acb6e14da..86aa98909e74f84df6d25c301596bf5bcefa84c0 100644
--- a/src/models/step35-iswa.cpp
+++ b/src/models/step35-iswa.cpp
@@ -68,7 +68,7 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
 
             const float kq_scale = 1.0f / sqrtf(float(n_embd_head_k));
             ggml_tensor * attn_out = build_attn(inp_attn,
-                    nullptr, nullptr,
+                    nullptr, nullptr, nullptr,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(attn_out, "attn_out", il);
             // head-wise attention gate: sigmoid(g_proj(x)) in torch
@@ -92,7 +92,7 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
             }
 
             // output projection
-            cur = build_lora_mm(model.layers[il].wo, attn_out);
+            cur = build_lora_mm(model.layers[il].wo, attn_out, model.layers[il].wo_s);
             cb(cur, "attn_proj", il);
         }
 
diff --git a/src/models/t5-dec.cpp b/src/models/t5-dec.cpp
deleted file mode 100644
index 8ca8372bd4ccd31864dcf06709b06d90602db2f4..0000000000000000000000000000000000000000
--- a/src/models/t5-dec.cpp
+++ /dev/null
@@ -1,166 +0,0 @@
-#include "models.h"
-
-llm_build_t5_dec::llm_build_t5_dec(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-    //const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    ggml_tensor * embd_enc       = build_inp_cross_embd();
-    ggml_tensor * pos_bucket_dec = build_inp_pos_bucket_dec();
-
-    const int64_t n_outputs_enc = embd_enc->ne[1];
-
-    auto * inp_attn_self  = build_attn_inp_kv();
-    auto * inp_attn_cross = build_attn_inp_cross();
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    const int64_t dec_n_layer = hparams.dec_n_layer;
-
-    for (int il = 0; il < dec_n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            ggml_tensor * attn_rel_b = model.layers[il].attn_rel_b ? model.layers[il].attn_rel_b : model.layers[0].attn_rel_b;
-            ggml_tensor * kq_b = build_pos_bias(pos_bucket_dec, attn_rel_b);
-
-            cur = build_attn(inp_attn_self,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, kq_b, nullptr, nullptr, 1.0f, il);
-            cb(cur, "kqv_out", il);
-        }
-        cur = ggml_add(ctx0, cur, inpSA);
-        cb(cur, "cross_inp", il);
-
-        ggml_tensor * inpCA = cur;
-
-        // norm
-        cur = build_norm(cur,
-                model.layers[il].attn_norm_cross, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm_cross", il);
-
-        // cross-attention
-        {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq_cross, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk_cross, embd_enc);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv_cross, embd_enc);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_outputs_enc);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_outputs_enc);
-
-            cur = build_attn(inp_attn_cross,
-                    model.layers[il].wo_cross, nullptr,
-                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
-            cb(cur, "kqv_out", il);
-
-            //ggml_tensor * q =                 ggml_permute(ctx0, Qcur, 0, 2, 1, 3);
-            //ggml_tensor * k = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 0, 2, 1, 3));
-
-            //ggml_tensor * kq = ggml_mul_mat(ctx0, k, q);
-            //cb(kq, "kq", il);
-
-            //kq = ggml_soft_max_ext(ctx0, kq, KQ_mask_cross, 1.0f, hparams.f_max_alibi_bias);
-            //cb(kq, "kq_soft_max_ext", il);
-
-            //ggml_tensor * v = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_2d(ctx0, Vcur, n_embd_gqa, n_outputs_enc)));
-            //cb(v, "v", il);
-
-            //ggml_tensor * kqv = ggml_mul_mat(ctx0, ggml_reshape_3d(ctx0, v, n_outputs_enc, n_embd_head, n_head_kv), kq);
-            //cb(kqv, "kqv", il);
-
-            //ggml_tensor * kqv_merged = ggml_permute(ctx0, kqv, 0, 2, 1, 3);
-            //cb(kqv_merged, "kqv_merged", il);
-
-            //cur = ggml_cont_2d(ctx0, kqv_merged, n_embd_gqa, n_tokens);
-            //cb(cur, "kqv_merged_cont", il);
-
-            //ggml_build_forward_expand(gf, cur);
-
-            //cur = build_lora_mm(model.layers[il].wo_cross, cur);
-            //cb(cur, "kqv_out", il);
-        }
-        if (il == dec_n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpCA = ggml_get_rows(ctx0, inpCA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpCA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network
-        {
-            cur = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            // T5 uses relu, flan-T5 uses gelu-gated
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   NULL, NULL,
-                    model.layers[il].ffn_gate, NULL, NULL,
-                    model.layers[il].ffn_down, NULL, NULL,
-                    NULL,
-                    model.layers[il].ffn_gate ? LLM_FFN_GELU : LLM_FFN_RELU,
-                    model.layers[il].ffn_gate ? LLM_FFN_PAR : LLM_FFN_SEQ,
-                    il);
-            cb(cur, "ffn_out", il);
-        }
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-    cb(cur, "result_embd", -1);
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/t5-enc.cpp b/src/models/t5-enc.cpp
deleted file mode 100644
index 395dfb510420f02d497ba6b2c0838035a0264844..0000000000000000000000000000000000000000
--- a/src/models/t5-enc.cpp
+++ /dev/null
@@ -1,96 +0,0 @@
-#include "models.h"
-
-llm_build_t5_enc::llm_build_t5_enc(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    ggml_tensor * pos_bucket_enc = build_inp_pos_bucket_enc();
-
-    auto * inp_attn = build_attn_inp_no_cache();
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm_enc, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq_enc, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk_enc, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv_enc, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            ggml_tensor * attn_rel_b = model.layers[il].attn_rel_b_enc ? model.layers[il].attn_rel_b_enc : model.layers[0].attn_rel_b_enc;
-            ggml_tensor * kq_b = build_pos_bias(pos_bucket_enc, attn_rel_b);
-
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo_enc, nullptr,
-                    Qcur, Kcur, Vcur, kq_b, nullptr, nullptr, 1.0f, il);
-            cb(cur, "kqv_out", il);
-        }
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network
-        {
-            cur = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm_enc, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            // T5 uses relu, flan-T5 uses gelu-gated
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up_enc,   NULL, NULL,
-                    model.layers[il].ffn_gate_enc, NULL, NULL,
-                    model.layers[il].ffn_down_enc, NULL, NULL,
-                    NULL,
-                    model.layers[il].ffn_gate_enc ? LLM_FFN_GELU : LLM_FFN_RELU,
-                    model.layers[il].ffn_gate_enc ? LLM_FFN_PAR  : LLM_FFN_SEQ,
-                    il);
-            cb(cur, "ffn_out", il);
-        }
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-    cb(cur, "result_embd", -1);
-
-    cur = build_norm(cur,
-            model.output_norm_enc, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/wavtokenizer-dec.cpp b/src/models/wavtokenizer-dec.cpp
index 537a0d41248b6fd23666644611e6ab51b8523b88..a7776d9cdc97ea10e63f7f17cf9d2ea3509608bd 100644
--- a/src/models/wavtokenizer-dec.cpp
+++ b/src/models/wavtokenizer-dec.cpp
@@ -93,7 +93,7 @@ llm_build_wavtokenizer_dec::llm_build_wavtokenizer_dec(const llama_model & model
     cur = build_norm(cur,
             model.tok_norm,
             model.tok_norm_b,
-            LLM_NORM, -1);
+            LLM_NORM, 0);
 
     cur = ggml_cont(ctx0, ggml_transpose(ctx0, cur));
 
diff --git a/src/models/xverse.cpp b/src/models/xverse.cpp
index 3a8dfafccebe1f0315204dd8b636d80958056ff5..53085ec80f6b8b57abc47ff6d29f221a494c766d 100644
--- a/src/models/xverse.cpp
+++ b/src/models/xverse.cpp
@@ -28,18 +28,8 @@ llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_pa
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -58,7 +48,7 @@ llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/unicode.cpp b/src/unicode.cpp
index 122c8ca04a511f52eb03b5d51d2d772104ff42c5..dc13e53f09ff428c1de2df00145dac5ce3628353 100644
--- a/src/unicode.cpp
+++ b/src/unicode.cpp
@@ -470,6 +470,141 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
     return bpe_offsets;
 }
 
+// Qwen2 system regex: "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+static std::vector<size_t> unicode_regex_split_custom_qwen2(const std::string & text, const std::vector<size_t> & offsets) {
+    std::vector<size_t> bpe_offsets; // store the offset of each word
+    bpe_offsets.reserve(offsets.size()); // Reserve memory for the approximate size
+
+    const auto cpts = unicode_cpts_from_utf8(text);
+
+    size_t start = 0;
+    for (auto offset : offsets) {
+        const size_t offset_ini = start;
+        const size_t offset_end = start + offset;
+        assert(offset_end <= cpts.size());
+        start = offset_end;
+
+        static const uint32_t OUT_OF_RANGE = 0xFFFFFFFF;
+        auto _get_cpt = [&] (const size_t pos) -> uint32_t {
+            return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : OUT_OF_RANGE;
+        };
+
+        auto _get_flags = [&] (const size_t pos) -> unicode_cpt_flags {
+            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags_from_cpt(cpts[pos]) : unicode_cpt_flags{};
+        };
+
+        size_t _prev_end = offset_ini;
+        auto _add_token = [&] (const size_t end) -> size_t {
+            assert(_prev_end <= end && end <= offset_end);
+            size_t len = end - _prev_end;
+            if (len > 0) {
+                bpe_offsets.push_back(len);
+            }
+            _prev_end = end;
+            //if (len > 0) {
+            //    std::string s = "";
+            //    for(size_t p = end-len; p < end; p++)
+            //        s += unicode_cpt_to_utf8(cpts[p]);
+            //    printf(">>> '%s'\n", s.c_str());
+            //}
+            return len;
+        };
+
+        for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
+            const uint32_t cpt = _get_cpt(pos);
+            const auto flags = _get_flags(pos);
+
+            // regex: (?i:'s|'t|'re|'ve|'m|'ll|'d) // case insensitive
+            if (cpt == '\'' && pos+1 < offset_end) {
+                uint32_t cpt_next = unicode_tolower(_get_cpt(pos+1));
+                if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') {
+                    pos += _add_token(pos+2);
+                    continue;
+                }
+                if (pos+2 < offset_end) {
+                    uint32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2));
+                    if ((cpt_next == 'r' && cpt_next_next == 'e') ||
+                        (cpt_next == 'v' && cpt_next_next == 'e') ||
+                        (cpt_next == 'l' && cpt_next_next == 'l')) {
+                        pos += _add_token(pos+3);
+                        continue;
+                    }
+                }
+            }
+
+            // regex: [^\r\n\p{L}\p{N}]?\p{L}+
+            if (!(cpt == '\r' || cpt == '\n' || flags.is_number)) {
+                if (flags.is_letter || _get_flags(pos+1).is_letter) {  // one or more letters
+                    pos++;
+                    while (_get_flags(pos).is_letter) {
+                        pos++;
+                    }
+                    _add_token(pos);
+                    continue;
+                }
+            }
+
+            // regex: \p{N}
+            if (flags.is_number) {
+                pos++;
+                _add_token(pos);
+                continue;
+            }
+
+            // regex: <space>?[^\s\p{L}\p{N}]+[\r\n]*
+            auto flags2 = (cpt == ' ' ? _get_flags(pos+1) : flags);
+            if (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags.as_uint()) {
+                pos += (cpt == ' ');
+                while (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags2.as_uint()) {
+                    flags2 = _get_flags(++pos);
+                }
+                uint32_t cpt2 = _get_cpt(pos);
+                while (cpt2 == '\r' || cpt2 == '\n') {
+                    cpt2 = _get_cpt(++pos);
+                }
+                _add_token(pos);
+                continue;
+            }
+
+            size_t num_whitespaces = 0;
+            size_t last_end_r_or_n = 0;
+            while (_get_flags(pos+num_whitespaces).is_whitespace) {
+                uint32_t cpt2 = _get_cpt(pos+num_whitespaces);
+                if (cpt2 == '\r' || cpt2 == '\n') {
+                    last_end_r_or_n = pos + num_whitespaces + 1;
+                }
+                num_whitespaces++;
+            }
+
+            // regex: \s*[\r\n]+
+            if (last_end_r_or_n > 0) {
+                pos = last_end_r_or_n;
+                _add_token(pos);
+                continue;
+            }
+
+            // regex: \s+(?!\S)
+            if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != OUT_OF_RANGE) {
+                pos += num_whitespaces - 1;
+                _add_token(pos);
+                continue;
+            }
+
+            // regex: \s+
+            if (num_whitespaces > 0) {
+                pos += num_whitespaces;
+                _add_token(pos);
+                continue;
+            }
+
+            // no matches
+            _add_token(++pos);
+        }
+    }
+
+    return bpe_offsets;
+}
+
 template <typename CharT>
 static std::vector<size_t> unicode_regex_split_stl(const std::basic_string<CharT> & text, const std::basic_string<CharT> & regex, const std::vector<size_t> & offsets) {
     using BidirIt = typename std::basic_string<CharT>::const_iterator;
@@ -753,6 +888,35 @@ static std::vector<size_t> unicode_regex_split_custom_afmoe(const std::string &
     return bpe_offsets;
 }
 
+// regex: [^\n]+|[\n]+
+// splits text into runs of non-newline characters and runs of newline characters
+static std::vector<size_t> unicode_regex_split_custom_newlines(const std::string & text, const std::vector<size_t> & offsets) {
+    std::vector<size_t> bpe_offsets;
+    bpe_offsets.reserve(offsets.size());
+
+    const auto cpts = unicode_cpts_from_utf8(text);
+
+    size_t start = 0;
+    for (auto offset : offsets) {
+        const size_t offset_ini = start;
+        const size_t offset_end = start + offset;
+        assert(offset_end <= cpts.size());
+        start = offset_end;
+
+        size_t pos = offset_ini;
+        while (pos < offset_end) {
+            const bool is_newline = (cpts[pos] == '\n');
+            const size_t run_start = pos;
+            while (pos < offset_end && (cpts[pos] == '\n') == is_newline) {
+                pos++;
+            }
+            bpe_offsets.push_back(pos - run_start);
+        }
+    }
+
+    return bpe_offsets;
+}
+
 static std::vector<size_t> unicode_regex_split_custom(const std::string & text, const std::string & regex_expr, const std::vector<size_t> & offsets) {
     std::vector<size_t> bpe_offsets;
 
@@ -761,14 +925,18 @@ static std::vector<size_t> unicode_regex_split_custom(const std::string & text,
     } else if (
             regex_expr == "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" ||
             regex_expr == "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+") {
-
         bpe_offsets = unicode_regex_split_custom_llama3(text, offsets);
+    } else if (
+           regex_expr == "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+") {
+        bpe_offsets = unicode_regex_split_custom_qwen2(text, offsets);
     } else if (regex_expr == "\\p{Han}+") {
         // K2's first pattern - handle all K2 patterns together
         bpe_offsets = unicode_regex_split_custom_kimi_k2(text, offsets);
     } else if (regex_expr == "\\p{AFMoE_digits}") {
         // AFMOE digit pattern - use custom implementation for proper splitting
         bpe_offsets = unicode_regex_split_custom_afmoe(text, offsets);
+    } else if (regex_expr == "[^\\n]+|[\\n]+") {
+        bpe_offsets = unicode_regex_split_custom_newlines(text, offsets);
     } else if (regex_expr == "\\d{1,3}(?=(?:\\d{3})*\\b)") {
         // tiny_aya digit grouping pattern from tokenizer.json:
         //   {"type": "Split", "pattern": {"Regex": "\\d{1,3}(?=(?:\\d{3})*\\b)"}, "behavior": "Isolated"}
@@ -912,7 +1080,7 @@ bool unicode_cpt_is_han(uint32_t cpt) {
     return false;
 }
 
-std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs) {
+std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs, bool byte_encode) {
     // unicode categories
     static const std::map<std::string, int> k_ucat_enum = {
         { "\\p{N}", unicode_cpt_flags::NUMBER },
@@ -1099,5 +1267,9 @@ std::vector<std::string> unicode_regex_split(const std::string & text, const std
         start += offset;
     }
 
-    return unicode_byte_encoding_process(bpe_words);
+    if (byte_encode) {
+        return unicode_byte_encoding_process(bpe_words);
+    }
+
+    return bpe_words;
 }
diff --git a/src/unicode.h b/src/unicode.h
index 5bd1362ff41bf76c36dff72973533ac89d14b6d7..600ab9216b94dfac172ed771b3e9c1bdb42f5a2c 100644
--- a/src/unicode.h
+++ b/src/unicode.h
@@ -108,4 +108,4 @@ uint32_t unicode_tolower(uint32_t cpt);
 
 bool unicode_cpt_is_han(uint32_t cpt);
 
-std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs);
+std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs, bool byte_encode = true);
diff --git a/tests/.gitignore b/tests/.gitignore
index ba2b164fac5f10bbb9988272f91644784318e1ff..52b292b1f878181eb58f70a9ae870b978c1c1441 100644
--- a/tests/.gitignore
+++ b/tests/.gitignore
@@ -1,5 +1,6 @@
 *
 !*.*
+!snapshots/
 *.o
 ggml-common.h
 **/*.swp
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 9582164b580de8ac27a15eee70a1fa6235030952..eb7b776bbb84d4faf440f0e40c37d5b6c4af7d59 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -1,289 +1,3 @@
-llama_add_compile_flags()
-
-function(llama_build source)
-    set(TEST_SOURCES ${source} ${ARGN})
-
-    if (DEFINED LLAMA_TEST_NAME)
-        set(TEST_TARGET ${LLAMA_TEST_NAME})
-    else()
-        get_filename_component(TEST_TARGET ${source} NAME_WE)
-    endif()
-
-    add_executable(${TEST_TARGET} ${TEST_SOURCES})
-    target_link_libraries(${TEST_TARGET} PRIVATE common)
-    if (LLAMA_TESTS_INSTALL)
-        install(TARGETS ${TEST_TARGET} RUNTIME)
-    endif()
-endfunction()
-
-function(llama_test target)
-    include(CMakeParseArguments)
-    set(options)
-    set(oneValueArgs NAME LABEL WORKING_DIRECTORY)
-    set(multiValueArgs ARGS)
-    cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
-
-    if (NOT DEFINED LLAMA_TEST_LABEL)
-        set(LLAMA_TEST_LABEL "main")
-    endif()
-    if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY)
-        set(LLAMA_TEST_WORKING_DIRECTORY .)
-    endif()
-    if (DEFINED LLAMA_TEST_NAME)
-        set(TEST_NAME ${LLAMA_TEST_NAME})
-    else()
-        set(TEST_NAME ${target})
-    endif()
-
-    set(TEST_TARGET ${target})
-
-    add_test(
-        NAME ${TEST_NAME}
-        WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY}
-        COMMAND $<TARGET_FILE:${TEST_TARGET}>
-        ${LLAMA_TEST_ARGS})
-
-    set_property(TEST ${TEST_NAME} PROPERTY LABELS ${LLAMA_TEST_LABEL})
-endfunction()
-
-function(llama_test_cmd target)
-    include(CMakeParseArguments)
-    set(options)
-    set(oneValueArgs NAME LABEL WORKING_DIRECTORY)
-    set(multiValueArgs ARGS)
-    cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
-
-    if (NOT DEFINED LLAMA_TEST_LABEL)
-        set(LLAMA_TEST_LABEL "main")
-    endif()
-    if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY)
-        set(LLAMA_TEST_WORKING_DIRECTORY .)
-    endif()
-    if (DEFINED LLAMA_TEST_NAME)
-        set(TEST_NAME ${LLAMA_TEST_NAME})
-    else()
-        set(TEST_NAME ${target})
-    endif()
-
-    add_test(
-        NAME ${TEST_NAME}
-        WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY}
-        COMMAND ${target}
-        ${LLAMA_TEST_ARGS})
-
-    set_property(TEST ${TEST_NAME} PROPERTY LABELS ${LLAMA_TEST_LABEL})
-endfunction()
-
-# Builds and runs a test source file.
-# Optional args:
-# - NAME: name of the executable & test target (defaults to the source file name without extension)
-# - LABEL: label for the test (defaults to main)
-# - ARGS: arguments to pass to the test executable
-# - WORKING_DIRECTORY
-function(llama_build_and_test source)
-    include(CMakeParseArguments)
-    set(options)
-    set(oneValueArgs NAME LABEL WORKING_DIRECTORY)
-    set(multiValueArgs ARGS)
-    cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
-
-    set(TEST_SOURCES ${source} ${LLAMA_TEST_UNPARSED_ARGUMENTS} get-model.cpp)
-
-    if (NOT DEFINED LLAMA_TEST_LABEL)
-        set(LLAMA_TEST_LABEL "main")
-    endif()
-    if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY)
-        set(LLAMA_TEST_WORKING_DIRECTORY .)
-    endif()
-    if (DEFINED LLAMA_TEST_NAME)
-        set(TEST_TARGET ${LLAMA_TEST_NAME})
-    else()
-        get_filename_component(TEST_TARGET ${source} NAME_WE)
-    endif()
-
-    add_executable(${TEST_TARGET} ${TEST_SOURCES})
-    if (LLAMA_TESTS_INSTALL)
-        install(TARGETS ${TEST_TARGET} RUNTIME)
-    endif()
-    target_link_libraries(${TEST_TARGET} PRIVATE common)
-
-    add_test(
-        NAME ${TEST_TARGET}
-        WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY}
-        COMMAND $<TARGET_FILE:${TEST_TARGET}>
-        ${LLAMA_TEST_ARGS})
-
-    set_property(TEST ${TEST_TARGET} PROPERTY LABELS ${LLAMA_TEST_LABEL})
-endfunction()
-
-# build test-tokenizer-0 target once and add many tests
-llama_build(test-tokenizer-0.cpp)
-
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-bert-bge          ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-bert-bge.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-command-r         ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-command-r.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-coder    ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-coder.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-llm      ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-llm.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-falcon            ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-gpt-2             ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-bpe         ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-spm         ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-mpt               ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-mpt.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-phi-3             ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-phi-3.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen2             ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-qwen2.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-refact            ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-refact.gguf)
-llama_test(test-tokenizer-0 NAME test-tokenizer-0-starcoder         ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-starcoder.gguf)
-
-if (NOT WIN32)
-    llama_test_cmd(
-        ${CMAKE_CURRENT_SOURCE_DIR}/test-tokenizers-repo.sh
-        NAME test-tokenizers-ggml-vocabs
-        WORKING_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}
-        ARGS https://huggingface.co/ggml-org/vocabs ${PROJECT_SOURCE_DIR}/models/ggml-vocabs
-    )
-endif()
-
-if (LLAMA_LLGUIDANCE)
-    llama_build_and_test(test-grammar-llguidance.cpp ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf)
-endif ()
-
-if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
-    # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API (when building with shared libraries)
-    llama_build_and_test(test-sampling.cpp)
-    llama_build_and_test(test-reasoning-budget.cpp)
-    llama_build_and_test(test-grammar-parser.cpp)
-    llama_build_and_test(test-grammar-integration.cpp)
-    llama_build_and_test(test-llama-grammar.cpp)
-    llama_build_and_test(test-chat.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
-    # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
-    if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
-        llama_build_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
-        target_include_directories(test-json-schema-to-grammar PRIVATE ${PROJECT_SOURCE_DIR}/tools/server)
-    endif()
-
-    if (NOT GGML_BACKEND_DL)
-        llama_build(test-quantize-stats.cpp)
-    endif()
-
-    llama_build(test-gbnf-validator.cpp)
-
-    # build test-tokenizer-1-bpe target once and add many tests
-    llama_build(test-tokenizer-1-bpe.cpp)
-
-    # TODO: disabled due to slowness
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-aquila    ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-aquila.gguf)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-falcon    ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-2     ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-neox  ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-neox.gguf)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-llama-bpe ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf --ignore-merges)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-mpt       ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-mpt.gguf)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-refact    ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-refact.gguf)
-    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-starcoder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-starcoder.gguf)
-
-    # build test-tokenizer-1-spm target once and add many tests
-    llama_build(test-tokenizer-1-spm.cpp)
-
-    llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-llama-spm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf)
-    #llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-baichuan  ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-baichuan.gguf)
-
-    # llama_build_and_test(test-double-float.cpp) # SLOW
-
-    llama_build_and_test(test-llama-archs.cpp)
-endif()
-
-llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp)
-llama_build_and_test(test-jinja.cpp)
-llama_test(test-jinja NAME test-jinja-py ARGS -py LABEL python)
-llama_build_and_test(test-chat-auto-parser.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
-llama_build_and_test(test-chat-template.cpp)
-llama_build_and_test(test-json-partial.cpp)
-llama_build_and_test(test-log.cpp)
-llama_build_and_test(
-    test-peg-parser.cpp
-    peg-parser/simple-tokenize.cpp
-    peg-parser/test-basic.cpp
-    peg-parser/test-gbnf-generation.cpp
-    peg-parser/test-json-parser.cpp
-    peg-parser/test-json-serialization.cpp
-    peg-parser/test-python-dict-parser.cpp
-    peg-parser/test-unicode.cpp
-    peg-parser/tests.h
-)
-llama_build_and_test(test-regex-partial.cpp)
-
-if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "s390x")
-    set(MODEL_NAME "tinyllamas/stories15M-q4_0.gguf")
-    set(MODEL_HASH "SHA256=66967fbece6dbe97886593fdbb73589584927e29119ec31f08090732d1861739")
-else()
-    set(MODEL_NAME "tinyllamas/stories15M-be.Q4_0.gguf")
-    set(MODEL_HASH "SHA256=9aec857937849d976f30397e97eb1cabb53eb9dcb1ce4611ba8247fb5f44c65d")
-endif()
-set(MODEL_DEST "${CMAKE_BINARY_DIR}/${MODEL_NAME}")
-
-add_test(NAME test-download-model COMMAND ${CMAKE_COMMAND}
-    -DDEST=${MODEL_DEST}
-    -DNAME=${MODEL_NAME}
-    -DHASH=${MODEL_HASH}
-    -P ${CMAKE_SOURCE_DIR}/cmake/download-models.cmake
-)
-set_tests_properties(test-download-model PROPERTIES FIXTURES_SETUP test-download-model)
-
-llama_build_and_test(test-thread-safety.cpp ARGS -m "${MODEL_DEST}" -ngl 99 -p "The meaning of life is" -n 128 -c 256 -ub 32 -np 4 -t 2)
-set_tests_properties(test-thread-safety PROPERTIES FIXTURES_REQUIRED test-download-model)
-
-llama_build_and_test(test-arg-parser.cpp)
-
-if (NOT LLAMA_SANITIZE_ADDRESS AND NOT GGML_SCHED_NO_REALLOC)
-  # TODO: repair known memory leaks
-  llama_build_and_test(test-opt.cpp)
-endif()
-llama_build_and_test(test-gguf.cpp)
-llama_build_and_test(test-backend-ops.cpp)
-
-llama_build_and_test(test-model-load-cancel.cpp LABEL "model")
-llama_build_and_test(test-autorelease.cpp       LABEL "model")
-llama_build_and_test(test-backend-sampler.cpp   LABEL "model")
-
-# Test for state restore with fragmented KV cache
-# Requires a model, uses same args pattern as test-thread-safety
-llama_build_and_test(test-state-restore-fragmented.cpp LABEL "model" ARGS -m "${MODEL_DEST}")
-set_tests_properties(test-state-restore-fragmented PROPERTIES FIXTURES_REQUIRED test-download-model)
-
-if (NOT GGML_BACKEND_DL)
-    # these tests use the backends directly and cannot be built with dynamic loading
-    llama_build_and_test(test-barrier.cpp)
-    llama_build_and_test(test-quantize-fns.cpp)
-    llama_build_and_test(test-quantize-perf.cpp)
-    llama_build_and_test(test-rope.cpp)
-endif()
-
-# libmtmd
-set(LLAMA_TEST_NAME test-mtmd-c-api)
-llama_build_and_test(test-mtmd-c-api.c)
-target_link_libraries(${LLAMA_TEST_NAME} PRIVATE mtmd)
-unset(LLAMA_TEST_NAME)
-
-# GGUF model data fetcher library for tests that need real model metadata
-# Only compile when cpp-httplib has SSL support (CPPHTTPLIB_OPENSSL_SUPPORT)
-if (TARGET cpp-httplib)
-    get_target_property(_cpp_httplib_defs cpp-httplib INTERFACE_COMPILE_DEFINITIONS)
-    if (_cpp_httplib_defs MATCHES "CPPHTTPLIB_OPENSSL_SUPPORT")
-        add_library(gguf-model-data STATIC gguf-model-data.cpp)
-        target_link_libraries(gguf-model-data PRIVATE common cpp-httplib)
-        target_include_directories(gguf-model-data PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})
-
-        add_executable(test-gguf-model-data test-gguf-model-data.cpp)
-        target_link_libraries(test-gguf-model-data PRIVATE gguf-model-data common)
-        llama_test(test-gguf-model-data LABEL "model")
-    endif()
-endif()
-
-# dummy executable - not installed
-get_filename_component(TEST_TARGET test-c.c NAME_WE)
-add_executable(${TEST_TARGET} test-c.c)
-target_link_libraries(${TEST_TARGET} PRIVATE llama)
-
-llama_build_and_test(test-alloc.cpp)
-target_include_directories(test-alloc PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src)
-
-llama_build(export-graph-ops.cpp)
-target_include_directories(export-graph-ops PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src)
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a962d7ed74dd9d758847cc09fac0d114938dd72220065396c2bad65c877cdfa
+size 13612
diff --git a/tests/export-graph-ops.cpp b/tests/export-graph-ops.cpp
index 754089d068efacea0ec8ecc98c9400c88195b6ec..64cf6dcea3533ec02a8410e75421db22051dce5a 100644
--- a/tests/export-graph-ops.cpp
+++ b/tests/export-graph-ops.cpp
@@ -1,15 +1,26 @@
 #include "arg.h"
 #include "common.h"
 #include "log.h"
-#include "llama.h"
+#include "llama-cpp.h"
 #include "../src/llama-ext.h"
 #include "ggml.h"
+#include "gguf-model-data.h"
+#include "gguf.h"
+#include "ggml-backend.h"
+#include "download.h"
 
 #include <array>
 #include <vector>
 #include <set>
 #include <fstream>
 #include <iostream>
+#include <random>
+
+// Noop because weights are not needed
+static void set_tensor_data(struct ggml_tensor * tensor, void * userdata) {
+    GGML_UNUSED(tensor);
+    GGML_UNUSED(userdata);
+}
 
 struct input_tensor {
     ggml_type type;
@@ -118,12 +129,12 @@ int main(int argc, char ** argv) {
     common_params params;
     params.out_file = "tests.txt";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS)) {
         return 1;
     }
 
-    common_init();
-
     // Load CPU-only
     ggml_backend_dev_t cpu_device = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
     params.devices = { cpu_device, nullptr };
@@ -132,9 +143,52 @@ int main(int argc, char ** argv) {
 
     params.warmup = false;
 
-    auto init_result = common_init_from_params(params);
+    llama_context * ctx;
+    common_init_result_ptr init_result;
+    llama_context_ptr ctx2;
+    llama_model_ptr model;
+
+    if (params.model.hf_repo.empty()) {
+        init_result = common_init_from_params(params);
+
+        ctx = init_result->context();
+    } else {
+#ifdef LLAMA_HF_FETCH
+        auto [hf_repo, hf_quant] = common_download_split_repo_tag(params.model.hf_repo);
+        if (hf_quant.empty() || hf_quant == "latest") {
+            hf_quant = "Q4_K_M";
+        }
+
+        gguf_context_ptr gguf_ctx = gguf_fetch_gguf_ctx(hf_repo, hf_quant);
+        if (!gguf_ctx) {
+            LOG_ERR("failed to fetch GGUF metadata from %s\n", hf_repo.c_str());
+            return 1;
+        }
+
+        llama_model_params model_params = llama_model_default_params();
+        model_params.devices = params.devices.data();
+        model_params.no_alloc = true;
+
+        model.reset(llama_model_init_from_user(gguf_ctx.get(), set_tensor_data, nullptr, model_params));
+
+        if (!model) {
+            LOG_ERR("failed to create llama_model from %s\n", hf_repo.c_str());
+            return 1;
+        }
 
-    llama_context * ctx = init_result->context();
+        llama_context_params ctx_params = llama_context_default_params();
+        ctx2.reset(llama_init_from_model(model.get(), ctx_params));
+        ctx = ctx2.get();
+
+        if (!ctx) {
+            LOG_ERR("failed to create llama_context\n");
+            return 1;
+        }
+#else
+        LOG_ERR("export-graph-ops compiled without HF fetch support\n");
+        return 1;
+#endif
+    }
 
     const uint32_t n_seqs  = llama_n_seq_max(ctx);
     const uint32_t n_tokens = std::min(llama_n_ctx(ctx), llama_n_ubatch(ctx));
@@ -143,13 +197,15 @@ int main(int argc, char ** argv) {
 
     auto * gf_pp = llama_graph_reserve(ctx, n_tokens, n_seqs, n_tokens);
     if (!gf_pp) {
-        throw std::runtime_error("failed to reserve prompt processing graph");
+        LOG_ERR("failed to reserve prompt processing graph\n");
+        return 1;
     }
     extract_graph_ops(gf_pp, "pp", tests);
 
     auto * gf_tg = llama_graph_reserve(ctx, n_seqs, n_seqs, n_seqs);
     if (!gf_tg) {
-        throw std::runtime_error("failed to reserve token generation graph");
+        LOG_ERR("failed to reserve token generation graph\n");
+        return 1;
     }
     extract_graph_ops(gf_tg, "tg", tests);
 
@@ -158,7 +214,8 @@ int main(int argc, char ** argv) {
     std::ofstream f(params.out_file);
 
     if (!f.is_open()) {
-        throw std::runtime_error("Unable to open output file");
+        LOG_ERR("unable to open output file: %s\n", params.out_file.c_str());
+        return 1;
     }
 
     for (const auto& test : tests) {
diff --git a/tests/gguf-model-data.cpp b/tests/gguf-model-data.cpp
index 3bc82c88dac8c34ddc1ed24ea99097f3745821b0..d277173c4666fe2ad74c4d8e8dcc683c1d76b609 100644
--- a/tests/gguf-model-data.cpp
+++ b/tests/gguf-model-data.cpp
@@ -4,6 +4,7 @@
 #include "gguf-model-data.h"
 
 #include "common.h"
+#include "ggml-cpp.h"
 #include "gguf.h"
 
 #include <algorithm>
@@ -124,6 +125,35 @@ static bool gguf_skip_value(gguf_buf_reader & r, int32_t vtype) {
 }
 
 static bool gguf_read_uint32_val(gguf_buf_reader & r, int32_t vtype, uint32_t & out) {
+    // Handle array-valued fields (e.g. per-layer head counts in hybrid models)
+    // by reading the first element as a representative value.
+    if (vtype == GGUF_TYPE_ARRAY) {
+        int32_t elem_type;
+        uint64_t count;
+        if (!r.read_val(elem_type)) {
+            return false;
+        }
+        if (!r.read_val(count)) {
+            return false;
+        }
+        if (count == 0) {
+            return false;
+        }
+        // Read first element, skip the rest
+        if (!gguf_read_uint32_val(r, elem_type, out)) {
+            return false;
+        }
+        for (uint64_t i = 1; i < count; i++) {
+            size_t sz = gguf_val_type_size(elem_type);
+            if (sz == 0) {
+                return false;
+            }
+            if (!r.skip(sz)) {
+                return false;
+            }
+        }
+        return true;
+    }
     if (vtype == GGUF_TYPE_UINT8) {
         uint8_t v;
         if (!r.read_val(v)) {
@@ -486,7 +516,8 @@ static std::string detect_gguf_filename(const std::string & repo, const std::str
 static std::optional<gguf_remote_model> fetch_and_parse(
         const std::string & repo,
         const std::string & filename,
-        const std::string & cache_path) {
+        const std::string & cache_path,
+        bool verbose) {
     std::string url = "https://huggingface.co/" + repo + "/resolve/main/" + filename;
 
     // Progressive download inspired by RangeView.fetchChunk()
@@ -495,7 +526,9 @@ static std::optional<gguf_remote_model> fetch_and_parse(
     const size_t max_chunk = 64 * 1024 * 1024;
 
     while (chunk_size <= max_chunk) {
-        fprintf(stderr, "gguf_fetch: downloading %zu bytes from %s\n", chunk_size, filename.c_str());
+        if (verbose) {
+            fprintf(stderr, "gguf_fetch: downloading %zu bytes from %s\n", chunk_size, filename.c_str());
+        }
 
         char range_buf[64];
         snprintf(range_buf, sizeof(range_buf), "bytes=0-%zu", chunk_size - 1);
@@ -531,34 +564,42 @@ static std::optional<gguf_remote_model> fetch_and_parse(
     return std::nullopt;
 }
 
+static std::string get_cache_file_path(const std::string& cdir, const std::string& repo_part, const std::string& filename) {
+    std::string fname_part = sanitize_for_path(filename);
+    return cdir + "/" + repo_part + "--" + fname_part + ".partial";
+}
+
 // Try cache first, then fetch and parse a single GGUF shard.
 static std::optional<gguf_remote_model> fetch_or_cached(
         const std::string & repo,
         const std::string & filename,
         const std::string & cdir,
-        const std::string & repo_part) {
-    std::string fname_part = sanitize_for_path(filename);
-    std::string cache_path = cdir + "/" + repo_part + "--" + fname_part + ".partial";
+        const std::string & repo_part,
+        bool verbose) {
+    std::string cache_path = get_cache_file_path(cdir, repo_part, filename);
 
     {
         std::vector<char> cached;
         if (std::filesystem::exists(cache_path) && read_file(cache_path, cached)) {
             auto result = gguf_parse_meta(cached);
             if (result.has_value()) {
-                fprintf(stderr, "gguf_fetch: loaded from cache: %s\n", cache_path.c_str());
+                if (verbose) {
+                    fprintf(stderr, "gguf_fetch: loaded from cache: %s\n", cache_path.c_str());
+                }
                 return result;
             }
         }
     }
 
     fs_create_directory_with_parents(cdir);
-    return fetch_and_parse(repo, filename, cache_path);
+    return fetch_and_parse(repo, filename, cache_path, verbose);
 }
 
 std::optional<gguf_remote_model> gguf_fetch_model_meta(
         const std::string & repo,
         const std::string & quant,
-        const std::string & cache_dir) {
+        const std::string & cache_dir,
+        bool verbose) {
     std::string cdir = cache_dir.empty() ? get_default_cache_dir() : cache_dir;
     std::string repo_part = sanitize_for_path(repo);
 
@@ -568,7 +609,7 @@ std::optional<gguf_remote_model> gguf_fetch_model_meta(
         return std::nullopt;
     }
 
-    auto model_opt = fetch_or_cached(repo, filename, cdir, repo_part);
+    auto model_opt = fetch_or_cached(repo, filename, cdir, repo_part, verbose);
     if (!model_opt.has_value()) {
         fprintf(stderr, "gguf_fetch: failed to fetch %s\n", filename.c_str());
         return std::nullopt;
@@ -583,8 +624,10 @@ std::optional<gguf_remote_model> gguf_fetch_model_meta(
             return std::nullopt;
         }
 
-        fprintf(stderr, "gguf_fetch: split model with %u shards, fetching remaining %u...\n",
-                model.n_split, model.n_split - 1);
+        if (verbose) {
+            fprintf(stderr, "gguf_fetch: split model with %u shards, fetching remaining %u...\n",
+                    model.n_split, model.n_split - 1);
+        }
 
         for (int i = 2; i <= model.n_split; i++) {
             char num_buf[6], total_buf[6];
@@ -592,7 +635,7 @@ std::optional<gguf_remote_model> gguf_fetch_model_meta(
             snprintf(total_buf, sizeof(total_buf), "%05d", (int)model.n_split);
             std::string shard_name = split_prefix + "-" + num_buf + "-of-" + total_buf + ".gguf";
 
-            auto shard = fetch_or_cached(repo, shard_name, cdir, repo_part);
+            auto shard = fetch_or_cached(repo, shard_name, cdir, repo_part, verbose);
             if (!shard.has_value()) {
                 fprintf(stderr, "gguf_fetch: failed to fetch shard %d: %s\n", i, shard_name.c_str());
                 return std::nullopt;
@@ -611,3 +654,87 @@ std::optional<gguf_remote_model> gguf_fetch_model_meta(
 
     return model_opt;
 }
+
+gguf_context_ptr gguf_fetch_gguf_ctx(
+        const std::string & repo,
+        const std::string & quant,
+        const std::string & cache_dir,
+        bool verbose) {
+    std::string cdir = cache_dir.empty() ? get_default_cache_dir() : cache_dir;
+    std::string repo_part = sanitize_for_path(repo);
+
+    std::string split_prefix;
+    std::string filename = detect_gguf_filename(repo, quant, split_prefix);
+
+    if (filename.empty()) {
+        return nullptr;
+    }
+
+    auto model_opt = fetch_or_cached(repo, filename, cdir, repo_part, verbose);
+    if (!model_opt.has_value()) {
+        fprintf(stderr, "gguf_fetch: failed to fetch %s\n", filename.c_str());
+        return nullptr;
+    }
+
+    auto & model = model_opt.value();
+
+    const std::string cache_path = get_cache_file_path(cdir, repo_part, filename);
+
+    ggml_context_ptr ggml_ctx_ptr;
+    ggml_context * ggml_ctx{};
+    gguf_init_params params{true, &ggml_ctx};
+    gguf_context_ptr ctx{gguf_init_from_file(cache_path.c_str(), params)};
+    ggml_ctx_ptr.reset(ggml_ctx);
+
+    if (ctx == nullptr) {
+        fprintf(stderr, "gguf_fetch: gguf_init_from_file failed\n");
+        return nullptr;
+    }
+
+    // If the model is split across multiple files we need to fetch the remaining shards metadata
+    if (model.n_split > 1) {
+        if (split_prefix.empty()) {
+            fprintf(stderr, "gguf_fetch: model reports %u splits but filename has no split pattern\n", model.n_split);
+            return nullptr;
+        }
+
+        if (verbose) {
+            fprintf(stderr, "gguf_fetch: split model with %u shards, fetching remaining %u...\n",
+                    model.n_split, model.n_split - 1);
+        }
+
+        for (int i = 2; i <= model.n_split; i++) {
+            char num_buf[6], total_buf[6];
+            snprintf(num_buf,   sizeof(num_buf),   "%05d", i);
+            snprintf(total_buf, sizeof(total_buf), "%05d", (int)model.n_split);
+            std::string shard_name = split_prefix + "-" + num_buf + "-of-" + total_buf + ".gguf";
+
+            auto shard = fetch_or_cached(repo, shard_name, cdir, repo_part, verbose);
+            if (!shard.has_value()) {
+                fprintf(stderr, "gguf_fetch: failed to fetch shard %d: %s\n", i, shard_name.c_str());
+                return nullptr;
+            }
+
+            // Load tensors from shard and add to main gguf_context
+            const std::string shard_path = get_cache_file_path(cdir, repo_part, shard_name);
+            ggml_context_ptr shard_ggml_ctx_ptr;
+            ggml_context * shard_ggml_ctx{};
+            gguf_init_params shard_params{true, &shard_ggml_ctx};
+            gguf_context_ptr shard_ctx{gguf_init_from_file(shard_path.c_str(), shard_params)};
+            shard_ggml_ctx_ptr.reset(shard_ggml_ctx);
+
+            if (shard_ctx == nullptr) {
+                fprintf(stderr, "gguf_fetch: shard gguf_init_from_file failed\n");
+                return nullptr;
+            }
+
+            for (ggml_tensor * t = ggml_get_first_tensor(shard_ggml_ctx); t; t = ggml_get_next_tensor(shard_ggml_ctx, t)) {
+                gguf_add_tensor(ctx.get(), t);
+            }
+        }
+
+        gguf_set_val_u16(ctx.get(), "split.count", 1);
+    }
+
+    return ctx;
+}
diff --git a/tests/gguf-model-data.h b/tests/gguf-model-data.h
index ed433791ad7a8a08b3a9c913d8a742d24f37c6d5..aa9d817348fe83b508a44261ce22f66d84c8c14d 100644
--- a/tests/gguf-model-data.h
+++ b/tests/gguf-model-data.h
@@ -1,6 +1,7 @@
 #pragma once
 
-#include "ggml.h"
+#include "ggml-cpp.h"
+#include "gguf.h"
 
 #include <cstdint>
 #include <optional>
@@ -39,4 +40,11 @@ struct gguf_remote_model {
 std::optional<gguf_remote_model> gguf_fetch_model_meta(
     const std::string & repo,
     const std::string & quant = "Q8_0",
-    const std::string & cache_dir = "");  // empty = default
+    const std::string & cache_dir = "",  // empty = default
+    bool verbose = true);
+
+gguf_context_ptr gguf_fetch_gguf_ctx(
+    const std::string & repo,
+    const std::string & quant = "Q8_0",
+    const std::string & cache_dir = "",
+    bool verbose = true);
diff --git a/tests/peg-parser/test-gbnf-generation.cpp b/tests/peg-parser/test-gbnf-generation.cpp
index 68857a5e88742a063cc96080ffd0674a04babefb..fe4bbbdd161f2f71becb4bcdbd1043c15a5de13b 100644
--- a/tests/peg-parser/test-gbnf-generation.cpp
+++ b/tests/peg-parser/test-gbnf-generation.cpp
@@ -213,6 +213,126 @@ void test_gbnf_generation(testing &t) {
         )""", gbnf);
     });
 
+    t.test("tagged choice inside sequence gets parenthesized", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.tag("t", p.literal("b") | p.literal("c"));
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a" ("b" | "c")
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("tagged sequence inside choice gets parenthesized", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.tag("t", p.literal("a") + p.literal("b")) | p.literal("c");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a" "b" | "c"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("atomic choice inside repetition gets parenthesized", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.one_or_more(p.atomic(p.literal("a") | p.literal("b")));
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= ("a" | "b")+
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("silent parser emits nothing in gbnf", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("hello") + p.gbnf(p.literal("world"), "");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "hello"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("silent choice inside sequence emits nothing", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.gbnf(p.literal("b") | p.literal("c"), "") + p.literal("d");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a" "d"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("silent wrapped in tag emits nothing", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.tag("t", p.gbnf(p.literal("b"), ""));
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("gbnf parser emits custom grammar", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.gbnf(p.literal("b"), "[a-z]+");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a" [a-z]+
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("nested transparent wrappers get parenthesized", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("x") + p.tag("outer", p.atomic(p.literal("a") | p.literal("b")));
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "x" ("a" | "b")
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
     t.test("emit only trigger rules (and references)", [](testing &t) {
         auto parser = build_peg_parser([](common_peg_parser_builder & p) {
             auto rule1 = p.rule("rule-1", p.literal("a") + p.ref("rule-2"));
diff --git a/tests/run-json-schema-to-grammar.mjs b/tests/run-json-schema-to-grammar.mjs
deleted file mode 100644
index 450c3dde0abad5063d0631828eff241475c40a8c..0000000000000000000000000000000000000000
--- a/tests/run-json-schema-to-grammar.mjs
+++ /dev/null
@@ -1,10 +0,0 @@
-import { readFileSync } from "fs"
-import { SchemaConverter } from "../tools/server/public_legacy/json-schema-to-grammar.mjs"
-
-const [, , file] = process.argv
-const url = `file://${file}`
-let schema = JSON.parse(readFileSync(file, "utf8"));
-const converter = new SchemaConverter({})
-schema = await converter.resolveRefs(schema, url)
-converter.visit(schema, '')
-console.log(converter.formatGrammar())
diff --git a/tests/snapshots/deepseek-v3.1.schema b/tests/snapshots/deepseek-v3.1.schema
new file mode 100644
index 0000000000000000000000000000000000000000..0e9dfd6ed4a7e5c4b1af6f37af10d22f9bcda96a
--- /dev/null
+++ b/tests/snapshots/deepseek-v3.1.schema
@@ -0,0 +1,3356 @@
+# Model: DeepSeek-V3.1
+# n_embd=7168, n_ff=18432, n_vocab=129280, n_layer=61, n_head=128, n_head_kv=1, n_expert=256
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
+output.weight q6_K
+
+[Q4_1] q4_1
+output.weight q6_K
+
+[Q8_0] q8_0
+
+[Q5_0] q5_0
+output.weight q6_K
+
+[Q5_1] q5_1
+output.weight q6_K
+
+[Q2_K] q2_K
+output.weight q6_K
+blk.0.attn_k_b.weight q4_0
+blk.0.attn_output.weight q3_K
+blk.0.ffn_down.weight q3_K
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diff --git a/tests/snapshots/gemma-3-4b-it.schema b/tests/snapshots/gemma-3-4b-it.schema
new file mode 100644
index 0000000000000000000000000000000000000000..cb8718a88937addd5da7aa4c694737740175aec5
--- /dev/null
+++ b/tests/snapshots/gemma-3-4b-it.schema
@@ -0,0 +1,1452 @@
+# Model: gemma-3-4b-it
+# n_embd=2560, n_ff=10240, n_vocab=262144, n_layer=34, n_head=8, n_head_kv=4
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
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+
+[Q4_1] q4_1
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+
+[Q8_0] q8_0
+
+[Q5_0] q5_0
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+
+[Q5_1] q5_1
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+
+[Q2_K] q2_K
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+
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+
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+
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diff --git a/tests/snapshots/glm-4.6v.schema b/tests/snapshots/glm-4.6v.schema
new file mode 100644
index 0000000000000000000000000000000000000000..ff892b6568e83c32222a28662ce3c63fc27f3eaf
--- /dev/null
+++ b/tests/snapshots/glm-4.6v.schema
@@ -0,0 +1,4052 @@
+# Model: GLM-4.6V
+# n_embd=4096, n_ff=10944, n_vocab=151552, n_layer=46, n_head=96, n_head_kv=8, n_expert=128
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
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+
+[Q4_1] q4_1
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+
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+
+[Q5_0] q5_0
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+
+[Q5_1] q5_1
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+
+[Q2_K] q2_K
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diff --git a/tests/snapshots/gpt-oss-120b.schema b/tests/snapshots/gpt-oss-120b.schema
new file mode 100644
index 0000000000000000000000000000000000000000..25c98f23cd7374b9e079e213008bc1874d016620
--- /dev/null
+++ b/tests/snapshots/gpt-oss-120b.schema
@@ -0,0 +1,5597 @@
+# Model: gpt-oss-120b
+# n_embd=2880, n_ff=2880, n_vocab=0, n_layer=36, n_head=64, n_head_kv=8, n_expert=128
+
+[F32] f32
+
+[F16] f16
+
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+
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+
+[Q8_0] q8_0
+
+[Q5_0] q5_0
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+
+[Q5_1] q5_1
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+
+[Q2_K] q2_K
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+
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diff --git a/tests/snapshots/meta-llama-3.1-70b-instruct.schema b/tests/snapshots/meta-llama-3.1-70b-instruct.schema
new file mode 100644
index 0000000000000000000000000000000000000000..36e4d90ac6d881eadf7e4967be6e9b0aae791492
--- /dev/null
+++ b/tests/snapshots/meta-llama-3.1-70b-instruct.schema
@@ -0,0 +1,3896 @@
+# Model: Meta-Llama-3.1-70B-Instruct
+# n_embd=8192, n_ff=28672, n_vocab=128256, n_layer=80, n_head=64, n_head_kv=8
+
+[F32] f32
+
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diff --git a/tests/snapshots/nemotron-nano-3-30b-a3b.schema b/tests/snapshots/nemotron-nano-3-30b-a3b.schema
new file mode 100644
index 0000000000000000000000000000000000000000..cf46f9de4b95ded3ec70ef942d21ca19f4f4346a
--- /dev/null
+++ b/tests/snapshots/nemotron-nano-3-30b-a3b.schema
@@ -0,0 +1,3354 @@
+# Model: Nemotron-Nano-3-30B-A3B
+# n_embd=2688, n_ff=0, n_vocab=131072, n_layer=52, n_head=32, n_head_kv=0, n_expert=128
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
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+[Q4_1] q4_1
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+
+[Q8_0] q8_0
+
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+
+[Q5_1] q5_1
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+
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+
+[Q3_K_S] q3_K
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+
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diff --git a/tests/snapshots/qwen3-0.6b.schema b/tests/snapshots/qwen3-0.6b.schema
new file mode 100644
index 0000000000000000000000000000000000000000..fd994f2c1ef6cb61e18e83bc030d5e175725823e
--- /dev/null
+++ b/tests/snapshots/qwen3-0.6b.schema
@@ -0,0 +1,1221 @@
+# Model: Qwen3-0.6B
+# n_embd=1024, n_ff=3072, n_vocab=151936, n_layer=28, n_head=16, n_head_kv=8
+
+[F32] f32
+
+[F16] f16
+
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+
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diff --git a/tests/snapshots/qwen3-14b.schema b/tests/snapshots/qwen3-14b.schema
new file mode 100644
index 0000000000000000000000000000000000000000..2fdd908bd0eb100cd70e801bd9ca5246de064eb6
--- /dev/null
+++ b/tests/snapshots/qwen3-14b.schema
@@ -0,0 +1,1905 @@
+# Model: Qwen3-14B
+# n_embd=5120, n_ff=17408, n_vocab=151936, n_layer=40, n_head=40, n_head_kv=8
+
+[F32] f32
+
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+
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+blk.39.attn_q.weight q8_0
+blk.39.attn_v.weight q8_0
+blk.39.ffn_down.weight q8_0
+blk.39.ffn_gate.weight q8_0
+blk.39.ffn_up.weight q8_0
diff --git a/tests/snapshots/qwen3-coder-next.schema b/tests/snapshots/qwen3-coder-next.schema
new file mode 100644
index 0000000000000000000000000000000000000000..3862a48ce60fd0f70896eb2c56d59f77715e73ba
--- /dev/null
+++ b/tests/snapshots/qwen3-coder-next.schema
@@ -0,0 +1,2138 @@
+# Model: Qwen3-Coder-Next
+# n_embd=2048, n_ff=5120, n_vocab=151936, n_layer=48, n_head=16, n_head_kv=2, n_expert=512
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
+output.weight q6_K
+
+[Q4_1] q4_1
+output.weight q6_K
+
+[Q8_0] q8_0
+
+[Q5_0] q5_0
+output.weight q6_K
+
+[Q5_1] q5_1
+output.weight q6_K
+
+[Q2_K] q2_K
+output.weight q6_K
+blk.0.attn_qkv.weight q4_K
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+blk.0.ffn_down_shexp.weight q3_K
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+blk.1.ffn_down_exps.weight q3_K
+blk.1.ffn_down_shexp.weight q3_K
+blk.2.attn_qkv.weight q4_K
+blk.2.ffn_down_exps.weight q3_K
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+blk.3.attn_output.weight q3_K
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+blk.3.ffn_down_exps.weight q3_K
+blk.3.ffn_down_shexp.weight q3_K
+blk.4.attn_qkv.weight q4_K
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+blk.4.ffn_down_shexp.weight q3_K
+blk.5.attn_qkv.weight q4_K
+blk.5.ffn_down_exps.weight q3_K
+blk.5.ffn_down_shexp.weight q3_K
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+blk.7.ffn_down_shexp.weight q3_K
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+blk.8.ffn_down_shexp.weight q3_K
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+blk.9.ffn_down_exps.weight q3_K
+blk.9.ffn_down_shexp.weight q3_K
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+
+[Q3_K_S] q3_K
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+
+[Q3_K_M] q3_K
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+blk.22.attn_qkv.weight q4_K
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+blk.25.attn_qkv.weight q4_K
+blk.26.attn_qkv.weight q4_K
+blk.27.attn_output.weight iq2_xxs
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+blk.28.attn_qkv.weight q4_K
+blk.29.attn_qkv.weight q4_K
+blk.30.attn_qkv.weight q4_K
+blk.31.attn_output.weight iq2_xxs
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+blk.33.attn_qkv.weight q4_K
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+blk.37.attn_qkv.weight q4_K
+blk.38.attn_qkv.weight q4_K
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+blk.46.attn_qkv.weight q4_K
+blk.47.attn_output.weight iq2_xxs
+blk.47.attn_v.weight q4_K
+
+[BF16] bf16
+
+[TQ1_0] tq1_0
+output.weight q6_K
+token_embd.weight q4_K
+
+[TQ2_0] tq2_0
+output.weight q6_K
+token_embd.weight q4_K
+
+[MXFP4_MOE] mxfp4
+output.weight q8_0
+token_embd.weight q8_0
+blk.0.attn_gate.weight q8_0
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+blk.16.attn_gate.weight q8_0
+blk.16.attn_qkv.weight q8_0
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+blk.16.ffn_gate_shexp.weight q8_0
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+blk.22.attn_gate.weight q8_0
+blk.22.attn_qkv.weight q8_0
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+blk.27.ffn_up_shexp.weight q8_0
+blk.28.attn_gate.weight q8_0
+blk.28.attn_qkv.weight q8_0
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+blk.30.attn_gate.weight q8_0
+blk.30.attn_qkv.weight q8_0
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+blk.30.ffn_gate_shexp.weight q8_0
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+blk.30.ssm_ba.weight q8_0
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+blk.31.attn_output.weight q8_0
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+blk.32.attn_gate.weight q8_0
+blk.32.attn_qkv.weight q8_0
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+blk.32.ffn_gate_shexp.weight q8_0
+blk.32.ffn_up_shexp.weight q8_0
+blk.32.ssm_ba.weight q8_0
+blk.32.ssm_out.weight q8_0
+blk.33.attn_gate.weight q8_0
+blk.33.attn_qkv.weight q8_0
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+blk.33.ffn_gate_shexp.weight q8_0
+blk.33.ffn_up_shexp.weight q8_0
+blk.33.ssm_ba.weight q8_0
+blk.33.ssm_out.weight q8_0
+blk.34.attn_gate.weight q8_0
+blk.34.attn_qkv.weight q8_0
+blk.34.ffn_down_shexp.weight q8_0
+blk.34.ffn_gate_shexp.weight q8_0
+blk.34.ffn_up_shexp.weight q8_0
+blk.34.ssm_ba.weight q8_0
+blk.34.ssm_out.weight q8_0
+blk.35.attn_k.weight q8_0
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+blk.36.attn_gate.weight q8_0
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diff --git a/tests/snapshots/qwen3.5-27b.schema b/tests/snapshots/qwen3.5-27b.schema
new file mode 100644
index 0000000000000000000000000000000000000000..40802053364bc19f3fdd1f8796aab7269cf3cdd7
--- /dev/null
+++ b/tests/snapshots/qwen3.5-27b.schema
@@ -0,0 +1,2406 @@
+# Model: Qwen3.5-27B
+# n_embd=5120, n_ff=17408, n_vocab=248320, n_layer=64, n_head=24, n_head_kv=4
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
+output.weight q6_K
+
+[Q4_1] q4_1
+output.weight q6_K
+
+[Q8_0] q8_0
+
+[Q5_0] q5_0
+output.weight q6_K
+
+[Q5_1] q5_1
+output.weight q6_K
+
+[Q2_K] q2_K
+output.weight q6_K
+blk.0.attn_qkv.weight q4_K
+blk.0.ffn_down.weight q3_K
+blk.1.attn_qkv.weight q4_K
+blk.1.ffn_down.weight q3_K
+blk.2.attn_qkv.weight q4_K
+blk.2.ffn_down.weight q3_K
+blk.3.attn_output.weight q3_K
+blk.3.attn_v.weight q4_K
+blk.3.ffn_down.weight q3_K
+blk.4.attn_qkv.weight q4_K
+blk.4.ffn_down.weight q3_K
+blk.5.attn_qkv.weight q4_K
+blk.5.ffn_down.weight q3_K
+blk.6.attn_qkv.weight q4_K
+blk.6.ffn_down.weight q3_K
+blk.7.attn_output.weight q3_K
+blk.7.attn_v.weight q4_K
+blk.7.ffn_down.weight q3_K
+blk.8.attn_qkv.weight q4_K
+blk.8.ffn_down.weight q3_K
+blk.9.attn_qkv.weight q4_K
+blk.9.ffn_down.weight q3_K
+blk.10.attn_qkv.weight q4_K
+blk.10.ffn_down.weight q3_K
+blk.11.attn_output.weight q3_K
+blk.11.attn_v.weight q4_K
+blk.11.ffn_down.weight q3_K
+blk.12.attn_qkv.weight q4_K
+blk.12.ffn_down.weight q3_K
+blk.13.attn_qkv.weight q4_K
+blk.13.ffn_down.weight q3_K
+blk.14.attn_qkv.weight q4_K
+blk.14.ffn_down.weight q3_K
+blk.15.attn_output.weight q3_K
+blk.15.attn_v.weight q4_K
+blk.15.ffn_down.weight q3_K
+blk.16.attn_qkv.weight q4_K
+blk.16.ffn_down.weight q3_K
+blk.17.attn_qkv.weight q4_K
+blk.17.ffn_down.weight q3_K
+blk.18.attn_qkv.weight q4_K
+blk.18.ffn_down.weight q3_K
+blk.19.attn_output.weight q3_K
+blk.19.attn_v.weight q4_K
+blk.19.ffn_down.weight q3_K
+blk.20.attn_qkv.weight q4_K
+blk.20.ffn_down.weight q3_K
+blk.21.attn_qkv.weight q4_K
+blk.21.ffn_down.weight q3_K
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diff --git a/tests/snapshots/qwen3.5-397b-a17b.schema b/tests/snapshots/qwen3.5-397b-a17b.schema
new file mode 100644
index 0000000000000000000000000000000000000000..d5056b9835343971f001df55e1208c130fe3db58
--- /dev/null
+++ b/tests/snapshots/qwen3.5-397b-a17b.schema
@@ -0,0 +1,2682 @@
+# Model: Qwen3.5-397B-A17B
+# n_embd=4096, n_ff=0, n_vocab=248320, n_layer=60, n_head=32, n_head_kv=2, n_expert=512
+
+[F32] f32
+
+[F16] f16
+
+[Q4_0] q4_0
+output.weight q6_K
+
+[Q4_1] q4_1
+output.weight q6_K
+
+[Q8_0] q8_0
+
+[Q5_0] q5_0
+output.weight q6_K
+
+[Q5_1] q5_1
+output.weight q6_K
+
+[Q2_K] q2_K
+output.weight q6_K
+blk.0.attn_qkv.weight q4_K
+blk.0.ffn_down_exps.weight q3_K
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diff --git a/tests/snapshots/step-3.5-flash.schema b/tests/snapshots/step-3.5-flash.schema
new file mode 100644
index 0000000000000000000000000000000000000000..36a13b3de21e7823431e186925862ebe0aa1ec9a
--- /dev/null
+++ b/tests/snapshots/step-3.5-flash.schema
@@ -0,0 +1,2450 @@
+# Model: Step-3.5-Flash
+# n_embd=4096, n_ff=11264, n_vocab=128896, n_layer=45, n_head=64, n_head_kv=8, n_expert=288
+
+[F32] f32
+
+[F16] f16
+
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+
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+
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+
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+
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+
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diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index c9896cc11e4498fa6ce1debb11188017e2c7c4a5..828a9c14a45dc44c04ad461a737d7174653bc349 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -3129,39 +3129,6 @@ struct test_add_id : public test_case {
     }
 };
 
-// GGML_OP_ADD1
-struct test_add1 : public test_case {
-    const ggml_type type;
-    const std::array<int64_t, 4> ne;
-
-    std::string vars() override {
-        return VARS_TO_STR2(type, ne);
-    }
-
-    test_add1(ggml_type type = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne = {10, 5, 4, 3})
-        : type(type), ne(ne) {}
-
-    ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
-        ggml_set_param(a);
-        ggml_set_name(a, "a");
-
-        ggml_tensor * b = ggml_new_tensor_1d(ctx, type, 1);
-        // ggml_set_param(b); // TODO: implement
-        ggml_set_name(b, "b");
-
-        ggml_tensor * out = ggml_add1(ctx, a, b);
-        ggml_set_name(out, "out");
-
-        return out;
-    }
-
-    float grad_eps() override {
-        return 0.1f * ne[0]*ne[1]*ne[2]*ne[3];
-    }
-};
-
 // GGML_OP_SCALE
 struct test_scale : public test_case {
     const ggml_type type;
@@ -4823,28 +4790,33 @@ struct test_conv_transpose_1d : public test_case {
 
 // GGML_OP_CONV_TRANSPOSE_2D
 struct test_conv_transpose_2d : public test_case {
+    // Dimensions
     const std::array<int64_t, 4> ne_input;
     const std::array<int64_t, 4> ne_kernel;
     const int stride;
+    // Types
+    const ggml_type kernel_type;
 
     std::string vars() override {
-        return VARS_TO_STR3(ne_input, ne_kernel, stride);
+        return VARS_TO_STR4(kernel_type, ne_input, ne_kernel, stride);
     }
 
     double max_nmse_err() override {
         return 5e-4; // The default 1e-7 is too small for Vulkan.
     }
 
-    test_conv_transpose_2d(std::array<int64_t, 4> ne_input = {10, 10, 3, 1}, // [input_width, input_height, input_channels, 1]
-                           std::array<int64_t, 4> ne_kernel = {3, 3, 3, 1}, // [kernel_width, kernel_height, input_channels, 1]
-                           int stride = 1)
-        : ne_input(ne_input), ne_kernel(ne_kernel), stride(stride){}
+    test_conv_transpose_2d(
+        std::array<int64_t, 4> ne_input = {10, 10, 3, 1}, // [input_width, input_height, input_channels, 1]
+        std::array<int64_t, 4> ne_kernel = {3, 3, 3, 1}, // [kernel_width, kernel_height, input_channels, 1]
+        int stride = 1,
+        ggml_type kernel_type = GGML_TYPE_F16
+    ) : ne_input(ne_input), ne_kernel(ne_kernel), stride(stride), kernel_type(kernel_type) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         ggml_tensor * input = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne_input.data());
         ggml_set_name(input, "input");
 
-        ggml_tensor * kernel = ggml_new_tensor(ctx, GGML_TYPE_F16, 4, ne_kernel.data());
+        ggml_tensor * kernel = ggml_new_tensor(ctx, kernel_type, 4, ne_kernel.data());
         ggml_set_name(kernel, "kernel");
 
         ggml_tensor * out = ggml_conv_transpose_2d_p0(ctx, kernel, input, stride);
@@ -7279,7 +7251,8 @@ static const ggml_type all_types[] = {
     GGML_TYPE_Q4_0, GGML_TYPE_Q4_1,
     GGML_TYPE_Q5_0, GGML_TYPE_Q5_1,
     GGML_TYPE_Q8_0,
-    GGML_TYPE_MXFP4,
+    GGML_TYPE_Q1_0,
+    GGML_TYPE_MXFP4, GGML_TYPE_NVFP4,
     GGML_TYPE_Q2_K, GGML_TYPE_Q3_K,
     GGML_TYPE_Q4_K, GGML_TYPE_Q5_K,
     GGML_TYPE_Q6_K,
@@ -7292,10 +7265,11 @@ static const ggml_type all_types[] = {
 static const ggml_type base_types[] = {
     GGML_TYPE_F32, GGML_TYPE_F16,
     GGML_TYPE_Q8_0, // for I8MM tests
+    GGML_TYPE_Q1_0,
     GGML_TYPE_Q4_0,
     GGML_TYPE_Q4_1, // for I8MM tests
     GGML_TYPE_Q4_K,
-    GGML_TYPE_MXFP4, // TODO: or "other"
+    GGML_TYPE_MXFP4, GGML_TYPE_NVFP4, // TODO: or "other"
     GGML_TYPE_IQ2_XXS
 };
 
@@ -7303,6 +7277,7 @@ static const ggml_type other_types[] = {
     GGML_TYPE_Q4_1,
     GGML_TYPE_Q5_0, GGML_TYPE_Q5_1,
     GGML_TYPE_Q8_0,
+    GGML_TYPE_Q1_0,
     GGML_TYPE_Q2_K, GGML_TYPE_Q3_K,
     GGML_TYPE_Q5_K,
     GGML_TYPE_Q6_K,
@@ -7704,9 +7679,11 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_conv_transpose_1d({3,2,1,1}, {3,1,2,1}, 1, 0, 1));
     test_cases.emplace_back(new test_conv_transpose_1d({2,1,1,1}, {3,1,1,1}, 1, 0, 1));
 
-    test_cases.emplace_back(new test_conv_transpose_2d({3, 2, 3, 1}, {2, 2, 1, 3}, 1));
-    test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 1}, {3, 3, 1, 9}, 2));
-    test_cases.emplace_back(new test_conv_transpose_2d({129, 63, 35, 1}, {3, 3, 48, 35}, 1));
+    for (ggml_type kernel_type : {GGML_TYPE_F32, GGML_TYPE_F16}) {
+        test_cases.emplace_back(new test_conv_transpose_2d({3, 2, 3, 1}, {2, 2, 1, 3}, 1, kernel_type));
+        test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 1}, {3, 3, 1, 9}, 2, kernel_type));
+        test_cases.emplace_back(new test_conv_transpose_2d({129, 63, 35, 1}, {3, 3, 48, 35}, 1, kernel_type));
+    }
 
     test_cases.emplace_back(new test_count_equal(GGML_TYPE_F32, {4,  500, 1, 1}));
     test_cases.emplace_back(new test_count_equal(GGML_TYPE_F32, {4, 5000, 1, 1}));
@@ -7879,8 +7856,6 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_bin_bcast(ggml_add, GGML_TYPE_F32, {16, 5, 4, 3}, {2, 2, 2, 2}, 8));
     test_cases.emplace_back(new test_bin_bcast(ggml_add, GGML_TYPE_F32, {16, 5, 4, 3}, {1, 1, 1, 1}, 16));
 
-    test_cases.emplace_back(new test_add1());
-    test_cases.emplace_back(new test_add1(GGML_TYPE_F32, {1024, 1024, 1, 1}));
     test_cases.emplace_back(new test_scale());
     test_cases.emplace_back(new test_scale(GGML_TYPE_F32, {10, 10, 10, 10}, 2.0f, 1.0f));
     test_cases.emplace_back(new test_scale(GGML_TYPE_F32, {10, 10, 10, 10}, 2.0f, 1.0f, true)); // inplace test
@@ -8417,10 +8392,12 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1023, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1024, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1025, 2, 1, 3}, order));
+        test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1025, 256, 1, 1}, order)); // test ceildiv in CUDA's CUB's DeviceSegmentedSort
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2047, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2048, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2049, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2, 8, 8192, 1}, order)); // bailingmoe2 (group selection)
+        test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2048, 512, 1, 1}, order)); // test CUDA dispatching to radix sort for nrows > = 1 in graph mode
     }
 
     for (int n = 1; n < 5; ++n) {
@@ -8529,6 +8506,9 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_cumsum(GGML_TYPE_F32, { 20481, 4, 1, 1 }));
 
     test_cases.emplace_back(new test_xielu());
+    test_cases.emplace_back(new test_xielu(GGML_TYPE_F16));
+    test_cases.emplace_back(new test_xielu(GGML_TYPE_F32, { 512, 16, 1, 1 }));
+    test_cases.emplace_back(new test_xielu(GGML_TYPE_F16, { 512, 16, 1, 1 }));
 
     test_cases.emplace_back(new test_tri(GGML_TRI_TYPE_LOWER));
     test_cases.emplace_back(new test_tri(GGML_TRI_TYPE_LOWER_DIAG));
@@ -8576,12 +8556,12 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         }
     }
 
-    for (int hsk : { 40, 64, 72, 80, 96, 128, 192, 256, 320, 576 }) {
+    for (int hsk : { 40, 64, 72, 80, 96, 128, 192, 256, 320, 512, 576 }) {
         for (int hsv : { 40, 64, 72, 80, 96, 128, 192, 256, 512 }) {
             if (hsk != 192 && hsk != 320 && hsk != 576 && hsk != hsv) continue;
             if (hsk == 192 && (hsv != 128 && hsv != 192)) continue;
             if (hsk == 576 && hsv != 512) continue; // DeepSeek MLA
-            if (hsk == 320 && hsv != 256) continue; // MLA
+            if (hsk == 320 && hsv != 256) continue; // Mistral4 MLA
 
             for (bool mask : { true, false } ) {
                 for (bool sinks : { true, false } ) {
@@ -8590,7 +8570,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
                         for (float logit_softcap : {0.0f, 10.0f}) {
                             if (hsk != 128 && logit_softcap != 0.0f) continue;
                             for (int nh : { 1, 4 }) {
-                                if (nh == 1 && hsk != 320 && hsk != 576) continue; // GLM 4.7 Flash
+                                if (nh == 1 && hsk != 320 && hsk != 576) continue;
                                 for (int nr3 : { 1, 3, }) {
                                     if (hsk > 64 && nr3 > 1) continue; // skip broadcast for large head sizes
                                     for (int nr2 : { 1, 4, 12, 20, 32 }) {
@@ -8603,7 +8583,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
                                             for (int nb : { 1, 3, 32, 75, }) {
                                                 for (ggml_prec prec : {GGML_PREC_F32, GGML_PREC_DEFAULT}) {
                                                     if (hsk != 128 && prec == GGML_PREC_DEFAULT) continue;
-                                                    for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0}) {
+                                                    for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0, GGML_TYPE_IQ4_NL}) {
                                                         if (type_KV != GGML_TYPE_F16 && hsk != 64 && hsk != 72) continue;
                                                         test_cases.emplace_back(new test_flash_attn_ext(
                                                                     hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV));
@@ -8892,9 +8872,11 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_perf() {
     test_cases.emplace_back(new test_conv_2d_dw({512, 512, 256, 1}, {3, 3, 1, 256}, 1, 1, 1, false));
     test_cases.emplace_back(new test_conv_2d_dw({512, 512, 256, 1}, {3, 3, 1, 256}, 1, 1, 1, true));
 
-    test_cases.emplace_back(new test_conv_transpose_2d({256, 256, 256, 1}, {3, 3, 16, 256}, 1));
-    test_cases.emplace_back(new test_conv_transpose_2d({16, 16, 16, 1}, {3, 3, 8, 16}, 1));
-    test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 1}, {3, 3, 1, 9}, 2));
+    for (ggml_type kernel_type : {GGML_TYPE_F32, GGML_TYPE_F16}) {
+        test_cases.emplace_back(new test_conv_transpose_2d({256, 256, 256, 1}, {3, 3, 16, 256}, 1, kernel_type));
+        test_cases.emplace_back(new test_conv_transpose_2d({16, 16, 16, 1}, {3, 3, 8, 16}, 1, kernel_type));
+        test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 1}, {3, 3, 1, 9}, 2, kernel_type));
+    }
 
     test_cases.emplace_back(new test_mean(GGML_TYPE_F32, {256, 256, 3, 1}));
 
diff --git a/tests/test-chat-auto-parser.cpp b/tests/test-chat-auto-parser.cpp
index eaa57872a89dd09870be08b65b22e21b40db0ce7..bb23b7f2aae4d31a4ed22fe1aa439667ab3c2f15 100644
--- a/tests/test-chat-auto-parser.cpp
+++ b/tests/test-chat-auto-parser.cpp
@@ -22,6 +22,7 @@ static void test_calculate_diff_split_no_common(testing & t);
 static void test_calculate_diff_split_single_char(testing & t);
 static void test_calculate_diff_split_overlaps(testing & t);
 static void test_calculate_diff_split_tag_boundaries(testing & t);
+static void test_calculate_diff_split_generation_prompt(testing & t);
 static void test_calculate_diff_split(testing & t);
 
 static void test_until_common_prefix_basic(testing & t);
@@ -61,6 +62,9 @@ static void test_nemotron_tool_format(testing & t);
 static void test_cohere_reasoning_detection(testing & t);
 static void test_cohere_analysis(testing & t);
 
+// SmolLM3 template analysis tests
+static void test_smollm3_analysis(testing & t);
+
 // Marker separation
 static void test_marker_separation(testing & t);
 
@@ -95,6 +99,7 @@ int main(int argc, char * argv[]) {
     t.test("seed_oss_diffs", test_seed_oss_tool_analysis);
     t.test("cohere", test_cohere_analysis);
     t.test("nemotron", test_nemotron_analysis);
+    t.test("smollm3", test_smollm3_analysis);
     t.test("standard_json_tools", test_standard_json_tools_formats);
     t.test("normalize_quotes_to_json", test_normalize_quotes_to_json);
     t.test("tagged_args_embedded_quotes", test_tagged_args_with_embedded_quotes);
@@ -179,6 +184,7 @@ static void test_calculate_diff_split(testing & t) {
     t.test("calculate_diff_split single char", test_calculate_diff_split_single_char);
     t.test("calculate_diff_split overlaps", test_calculate_diff_split_overlaps);
     t.test("calculate_diff_split tag boundaries", test_calculate_diff_split_tag_boundaries);
+    t.test("calculate_diff_split generation prompt", test_calculate_diff_split_generation_prompt);
 }
 
 static void test_calculate_diff_split_basic(testing & t) {
@@ -502,6 +508,39 @@ static void test_calculate_diff_split_tag_boundaries(testing & t) {
     }
 }
 
+static void test_calculate_diff_split_generation_prompt(testing & t) {
+    // ChatML thinking template: left is a prefix of right, generation_prompt is the appended part.
+    // The trailing \n in left matches the trailing \n in the generation_prompt, causing
+    // the suffix matcher to steal it and rotate the diff result.
+    {
+        // Simplified reproduction: left ends with \n, right = left + "<|im_start|>assistant\n<think>\n"
+        std::string left  = "<|im_start|>user\nHello<|im_end|>\n";
+        std::string right = left + "<|im_start|>assistant\n<think>\n";
+        diff_split result = calculate_diff_split(left, right);
+        t.assert_equal("chatml prefix", left, result.prefix);
+        t.assert_equal("chatml left", "", result.left);
+        t.assert_equal("chatml right should be generation prompt",
+                       "<|im_start|>assistant\n<think>\n", result.right);
+        t.assert_equal("chatml suffix", "", result.suffix);
+    }
+
+    {
+        // More realistic: longer conversation ending with tool_response
+        std::string common =
+            "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n"
+            "<|im_start|>user\nSearch for files<|im_end|>\n"
+            "<|im_start|>assistant\n<think>\nLet me search.\n</think>\n\n"
+            "<tool_call>\n<function=search>\n</function>\n</tool_call><|im_end|>\n"
+            "<|im_start|>user\n<tool_response>\nNo files found\n</tool_response><|im_end|>\n";
+        std::string left  = common;
+        std::string right = common + "<|im_start|>assistant\n<think>\n";
+        diff_split result = calculate_diff_split(left, right);
+        t.assert_equal("tool_response left", "", result.left);
+        t.assert_equal("tool_response right should be generation prompt",
+                       "<|im_start|>assistant\n<think>\n", result.right);
+    }
+}
+
 static void test_until_common_prefix(testing & t) {
     t.test("until_common_prefix basic", test_until_common_prefix_basic);
 }
@@ -1291,12 +1330,12 @@ static void test_nemotron_reasoning_detection(testing & t) {
     analysis.analyze_template(tmpl);
 
     // Check reasoning markers
-    t.assert_equal("reasoning_start should be '<think>'", "<think>", analysis.reasoning.start);
-    t.assert_equal("reasoning_end should be '</think>\\n'", "</think>\n", analysis.reasoning.end);
+    t.assert_equal("reasoning_start should be '<think>\\n'", "<think>\n", analysis.reasoning.start);
+    t.assert_equal("reasoning_end should be '</think>'", "</think>", analysis.reasoning.end);
 
     // Check reasoning mode detection
-    // Nemotron uses forced closed reasoning with add_generation_prompt
-    t.assert_equal("reasoning should be FORCED_CLOSED", reasoning_mode::FORCED_CLOSED, analysis.reasoning.mode);
+    // Nemotron uses tag-based reasoning; prefill handles the template's forced markers
+    t.assert_equal("reasoning should be TAG_BASED", reasoning_mode::TAG_BASED, analysis.reasoning.mode);
 
     // Make sure reasoning markers don't spill over to content markers
     t.assert_equal("content start should be empty", "", analysis.content.start);
@@ -1413,6 +1452,47 @@ static void test_tool_format_cohere(testing & t) {
     t.assert_true("tools_array_wrapped should be true", analysis.tools.format.tools_array_wrapped);
 }
 
+// ============================================================================
+// SmolLM3 Template Analysis Tests
+// Tests for templates that change system message when enable_thinking flips
+// and prefill an empty <think></think> block in no-think mode.
+// ============================================================================
+static common_chat_template load_smollm3_template(testing & t) {
+    return load_template(t, "models/templates/HuggingFaceTB-SmolLM3-3B.jinja");
+}
+
+static void test_smollm3_reasoning_detection(testing & t);
+
+static void test_smollm3_analysis(testing & t) {
+    t.test("SmolLM3 reasoning detection", test_smollm3_reasoning_detection);
+}
+
+static void test_smollm3_reasoning_detection(testing & t) {
+    common_chat_template tmpl = load_smollm3_template(t);
+
+    // Run differential analysis
+    struct autoparser analysis;
+    analysis.analyze_template(tmpl);
+
+    // SmolLM3 uses <think>/<think> reasoning tags.
+    // The template changes the entire system message when enable_thinking flips,
+    // so the analyzer must compare isolated generation prompts (not full outputs).
+    t.assert_equal("reasoning_start should be '<think>'", "<think>", analysis.reasoning.start);
+    t.assert_equal("reasoning_end should be '</think>'", "</think>", analysis.reasoning.end);
+    t.assert_equal("reasoning should be TAG_BASED", reasoning_mode::TAG_BASED, analysis.reasoning.mode);
+
+    // Content should remain plain (no wrappers)
+    t.assert_equal("content start should be empty", "", analysis.content.start);
+    t.assert_equal("content end should be empty", "", analysis.content.end);
+    t.assert_equal("content should be PLAIN", content_mode::PLAIN, analysis.content.mode);
+
+    // Preserved tokens should include the reasoning markers
+    bool has_think_start = std::find(analysis.preserved_tokens.begin(), analysis.preserved_tokens.end(), "<think>") != analysis.preserved_tokens.end();
+    bool has_think_end = std::find(analysis.preserved_tokens.begin(), analysis.preserved_tokens.end(), "</think>") != analysis.preserved_tokens.end();
+    t.assert_true("preserved_tokens should contain '<think>'", has_think_start);
+    t.assert_true("preserved_tokens should contain '</think>'", has_think_end);
+}
+
 // ============================================================================
 // standard_json_tools Format Tests
 // ============================================================================
diff --git a/tests/test-chat-peg-parser.cpp b/tests/test-chat-peg-parser.cpp
index dc8724be341579b6e2a010200293ad179afdded6..908b13fd0ca7edc67941023933b5416975cbc500 100644
--- a/tests/test-chat-peg-parser.cpp
+++ b/tests/test-chat-peg-parser.cpp
@@ -145,7 +145,7 @@ static void test_example_native(testing & t) {
         common_reasoning_format reasoning_format;
         json                    json_schema;
         bool                    parallel_tool_calls;
-        bool                    thinking_forced_open;
+        std::string             generation_prompt;
         std::string             input;
 
         // Expect
@@ -157,14 +157,8 @@ static void test_example_native(testing & t) {
     auto build_parser = [](const test_case & tc) {
         return build_chat_peg_parser([&](common_chat_peg_builder & p) {
             auto reasoning_in_content = (tc.reasoning_format == COMMON_REASONING_FORMAT_NONE);
-            auto reasoning            = p.eps();
-            if (tc.thinking_forced_open) {
-                // If thinking is forced open, expect a closing tag
-                reasoning = p.reasoning(p.until("</think>")) + "</think>" + p.space();
-            } else {
-                // Otherwise, optionally accept thinking wrapped in tags
-                reasoning = p.optional("<think>" + p.reasoning(p.until("</think>")) + "</think>" + p.space());
-            }
+            // Always use optional TAG_BASED pattern; generation_prompt is prepended to input
+            auto reasoning = p.optional("<think>" + p.reasoning(p.until("</think>")) + "</think>" + p.space());
 
             // tool calling parser
             if (tc.tools.is_array() && !tc.tools.empty()) {
@@ -190,78 +184,91 @@ static void test_example_native(testing & t) {
 
     std::vector<test_case> test_cases = std::vector<test_case>{
         {
-         /* .name =                 */ "content with thinking_forced_open = false",
+         /* .name =                 */ "content with reasoning (no generation_prompt)",
          /* .tools =                */ {},
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ false,
+         /* .generation_prompt =    */ "",
          /* .input =                */ ("<think>The user said hello, I must say hello back</think>\nHello"),
          /* .expect_reasoning =     */ "The user said hello, I must say hello back",
          /* .expect_content =       */ "Hello",
          /* .expect_tool_calls =    */ {},
          },
         {
-         /* .name =                 */ "content with thinking_forced_open = false and no reasoning",
+         /* .name =                 */ "content without reasoning (no generation_prompt)",
          /* .tools =                */ {},
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ false,
+         /* .generation_prompt =    */ "",
          /* .input =                */ ("Hello"),
          /* .expect_reasoning =     */ "",
          /* .expect_content =       */ "Hello",
          /* .expect_tool_calls =    */ {},
          },
         {
-         /* .name =                 */ "content with thinking_forced_open = false and reasoning_format = none",
+         /* .name =                 */ "content with reasoning_format = none (tags appear in content)",
          /* .tools =                */ {},
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_NONE,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ true,
+         /* .generation_prompt =    */ "",
          /* .input =                */ ("<think>The user said hello, I must say hello back</think>\nHello"),
          /* .expect_reasoning =     */ "",
          /* .expect_content =       */ "<think>The user said hello, I must say hello back</think>\nHello",
          /* .expect_tool_calls =    */ {},
          },
         {
-         /* .name =                 */ "content with thinking_forced_open = true",
+         /* .name =                 */ "content with reasoning generation_prompt",
          /* .tools =                */ {},
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ true,
+         /* .generation_prompt =    */ "<think>",
          /* .input =                */ ("The user said hello, I must say hello back</think>\nHello"),
          /* .expect_reasoning =     */ "The user said hello, I must say hello back",
          /* .expect_content =       */ "Hello",
          /* .expect_tool_calls =    */ {},
          },
         {
-         /* .name =                 */ "content with thinking_forced_open = true and reasoning_format = none",
+         /* .name =                 */ "content with reasoning generation_prompt and reasoning_format = none",
          /* .tools =                */ {},
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_NONE,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ true,
+         /* .generation_prompt =    */ "",
          /* .input =                */ ("The user said hello, I must say hello back</think>\nHello"),
          /* .expect_reasoning =     */ "",
          /* .expect_content =       */ "The user said hello, I must say hello back</think>\nHello",
          /* .expect_tool_calls =    */ {},
          },
         {
-         /* .name =                 */ "tools with tool_choice = auto and no parallel_tool_calls",
+         /* .name =                 */ "content with closed reasoning generation_prompt (empty reasoning discarded)",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .generation_prompt =    */ "<think></think>",
+         /* .input =                */ ("Hello"),
+         /* .expect_reasoning =     */ "",
+         /* .expect_content =       */ "Hello",
+         /* .expect_tool_calls =    */ {},
+         },
+        {
+         /* .name =                 */ "tools with reasoning generation_prompt",
          /* .tools =                */ create_tools(),
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_AUTO,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ true,
+         /* .generation_prompt =    */ "<think>",
          /* .input =                */
             ("I must get the weather in New York</think>\n"
              "<tool_call>["
@@ -277,13 +284,13 @@ static void test_example_native(testing & t) {
             } },
          },
         {
-         /* .name =                 */ "tools with tool_choice = auto and parallel_tool_calls",
+         /* .name =                 */ "parallel tools with reasoning generation_prompt",
          /* .tools =                */ create_tools(),
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_AUTO,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
          /* .json_schema =          */ {},
          /* .parallel_tool_calls =  */ true,
-         /* .thinking_forced_open = */ true,
+         /* .generation_prompt =    */ "<think>",
          /* .input =                */
             ("I must get the weather in New York and San Francisco and a 3 day forecast of each.</think>\nLet me "
              "search that for you."
@@ -321,7 +328,7 @@ static void test_example_native(testing & t) {
               } },
          },
         {
-         /* .name =                 */ "response_format with thinking_forced_open = true",
+         /* .name =                 */ "response_format with reasoning generation_prompt",
          /* .tools =                */ {},
          /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
          /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
@@ -333,7 +340,7 @@ static void test_example_native(testing & t) {
                   { "due_date", { { "type", "string" } } } } },
               { "required", { "invoice_number", "amount", "due_date" } } },
          /* .parallel_tool_calls =  */ false,
-         /* .thinking_forced_open = */ true,
+         /* .generation_prompt =    */ "<think>",
          /* .input =                */
             ("I must produce the invoice in the requested format</think>\n"
              R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})"),
@@ -361,7 +368,8 @@ static void test_example_native(testing & t) {
                 t.log(line);
             }
 
-            common_peg_parse_context ctx(tc.input);
+            std::string              effective_input = tc.generation_prompt + tc.input;
+            common_peg_parse_context ctx(effective_input);
             auto                     result = parser.parse(ctx);
 
             t.assert_true("success", result.success());
diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp
index 6cc132131c111be31e054890bc095d1f97b4893e..bf45d737c83207f2e92978a7554d81ff97f1c342 100644
--- a/tests/test-chat-template.cpp
+++ b/tests/test-chat-template.cpp
@@ -354,6 +354,7 @@ int main_automated_tests(void) {
         std::string bos_token = "";
         std::string eos_token = "";
         bool supported_with_jinja = true;
+        std::vector<llama_chat_message> extra_conversation = {};
     };
     std::vector<TestCase> test_cases {
         {
@@ -604,6 +605,26 @@ int main_automated_tests(void) {
             /* .expected_output_jinja= */ "<seed:bos>system\nYou are a helpful assistant<seed:eos><seed:bos>user\nHello<seed:eos><seed:bos>assistant\nHi there<seed:eos><seed:bos>user\nWho are you<seed:eos><seed:bos>assistant\nI am an assistant<seed:eos><seed:bos>user\nAnother question<seed:eos><seed:bos>assistant\n",
             /* .bos_token= */ "<seed:bos>",
             /* .eos_token= */ "<seed:eos>",
+        },
+        {
+            /* .name= */ "ibm-granite/granite-3.x (tool call)",
+            /* .template_str= */ "{%- for message in messages %}\n    {%- if message['role'] == 'assistant_tool_call' %}\n    {{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'] + '<|end_of_text|>\\n' }}\n    {%- else %}\n    {{- '<|start_of_role|>' + message['role'] + '<|end_of_role|>' + message['content'] + '<|end_of_text|>\\n' }}\n    {%- endif %}\n    {%- if loop.last and add_generation_prompt %}\n    {{- '<|start_of_role|>assistant<|end_of_role|>' }}\n    {%- endif %}\n{%- endfor %}",
+            /* .expected_output= */       "<|start_of_role|>system<|end_of_role|>You are a helpful assistant<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Hello<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>Hi there<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Who are you<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>   I am an assistant   <|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Another question<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>What is the weather?<|end_of_text|>\n<|start_of_role|>assistant_tool_call<|end_of_role|><|tool_call|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"NYC\"}}]<|end_of_text|>\n<|start_of_role|>tool_response<|end_of_role|>{\"temperature\": 72}<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>",
+            /* .expected_output_jinja= */ "<|start_of_role|>system<|end_of_role|>You are a helpful assistant<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Hello<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>Hi there<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Who are you<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>   I am an assistant   <|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Another question<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>What is the weather?<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|><|tool_call|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"NYC\"}}]<|end_of_text|>\n<|start_of_role|>tool_response<|end_of_role|>{\"temperature\": 72}<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>",
+            /* .bos_token= */ "",
+            /* .eos_token= */ "",
+            /* .supported_with_jinja= */ true,
+            /* .extra_conversation= */ {{"user", "What is the weather?"}, {"assistant_tool_call", "[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"NYC\"}}]"}, {"tool_response", "{\"temperature\": 72}"}},
+        },
+        {
+            /* .name= */ "ibm-granite/granite-4.0 (tool call)",
+            /* .template_str= */ "{%- for message in messages %}\n    {%- if message['role'] == 'assistant_tool_call' %}\n    {{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'] + '<|end_of_text|>\\n' }}\n    {%- else %}\n    {{- '<|start_of_role|>' + message['role'] + '<|end_of_role|>' + message['content'] + '<|end_of_text|>\\n' }}\n    {%- endif %}\n    {%- if loop.last and add_generation_prompt %}\n    {{- '<|start_of_role|>assistant<|end_of_role|>' }}\n    {%- endif %}\n{%- endfor %}\n{# <tool_call> <tools> #}",
+            /* .expected_output= */       "<|start_of_role|>system<|end_of_role|>You are a helpful assistant<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Hello<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>Hi there<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Who are you<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>   I am an assistant   <|end_of_text|>\n<|start_of_role|>user<|end_of_role|>Another question<|end_of_text|>\n<|start_of_role|>user<|end_of_role|>What is the weather?<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|><|tool_call|><tool_call>\n{\"name\": \"get_weather\", \"arguments\": {\"location\": \"NYC\"}}\n</tool_call><|end_of_text|>\n<|start_of_role|>tool_response<|end_of_role|>{\"temperature\": 72}<|end_of_text|>\n<|start_of_role|>assistant<|end_of_role|>",
+            /* .expected_output_jinja= */ "",
+            /* .bos_token= */ "",
+            /* .eos_token= */ "",
+            /* .supported_with_jinja= */ true,
+            /* .extra_conversation= */ {{"user", "What is the weather?"}, {"assistant_tool_call", "<tool_call>\n{\"name\": \"get_weather\", \"arguments\": {\"location\": \"NYC\"}}\n</tool_call>"}, {"tool_response", "{\"temperature\": 72}"}},
         }
     };
     std::vector<char> formatted_chat(1024);
@@ -627,11 +648,13 @@ int main_automated_tests(void) {
 
     for (const auto & test_case : test_cases) {
         std::cout << "\n\n=== " << test_case.name << " ===\n\n";
-        formatted_chat.resize(1024);
+        auto conv = conversation;
+        conv.insert(conv.end(), test_case.extra_conversation.begin(), test_case.extra_conversation.end());
+        formatted_chat.resize(2048);
         res = llama_chat_apply_template(
             test_case.template_str.c_str(),
-            conversation.data(),
-            conversation.size(),
+            conv.data(),
+            conv.size(),
             add_generation_prompt,
             formatted_chat.data(),
             formatted_chat.size()
@@ -658,11 +681,15 @@ int main_automated_tests(void) {
         }
         std::cout << "\n\n=== " << test_case.name << " (jinja) ===\n\n";
         try {
+            auto msgs = messages;
+            for (const auto & msg : test_case.extra_conversation) {
+                msgs.push_back(simple_msg(msg.role, msg.content));
+            }
             auto output = format_using_common(
                                 test_case.template_str,
                                 test_case.bos_token,
                                 test_case.eos_token,
-                                messages);
+                                msgs);
             auto expected_output = normalize_newlines(test_case.expected_output_jinja.empty() ? test_case.expected_output : test_case.expected_output_jinja);
             if (output != expected_output) {
                 std::cout << "Template:```\n" << test_case.template_str << "\n```";
diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp
index 915b6f71dc5883131df8611ad5d4a738b8ff85c2..eee28271be28b4b4c206e82b252d81a6950f801e 100644
--- a/tests/test-chat.cpp
+++ b/tests/test-chat.cpp
@@ -425,6 +425,7 @@ static common_chat_tool special_function_tool_with_optional_param{
         "required": ["arg1"]
     })",
 };
+
 static common_chat_tool empty_args_tool{
     /* .name = */ "empty_args",
     /* .description = */ "A tool that takes no arguments",
@@ -433,6 +434,15 @@ static common_chat_tool empty_args_tool{
         "properties": {}
     })",
 };
+
+static common_chat_tool empty_args_tool_no_properties{
+    /* .name = */ "empty_args_no_props",
+    /* .description = */ "A tool that takes no arguments and has no properties",
+    /* .parameters = */ R"({
+        "type": "object"
+    })",
+};
+
 static common_chat_tool python_tool{
     /* .name = */ "python",
     /* .description = */ "an ipython interpreter",
@@ -579,6 +589,51 @@ static common_chat_tool amount_tool{
     })",
 };
 
+static common_chat_tool toggle_tool{
+    /* .name = */ "toggle",
+    /* .description = */ "Toggle a feature",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "enabled": {
+                "type": "boolean",
+                "description": "Whether to enable the feature"
+            }
+        },
+        "required": ["enabled"]
+    })",
+};
+
+static common_chat_tool nullable_tool{
+    /* .name = */ "set_nullable",
+    /* .description = */ "Set a nullable value",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "value": {
+                "type": "null",
+                "description": "A null value"
+            }
+        },
+        "required": ["value"]
+    })",
+};
+
+static common_chat_tool config_tool{
+    /* .name = */ "set_config",
+    /* .description = */ "Set configuration",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "config": {
+                "type": "object",
+                "description": "Configuration dict"
+            }
+        },
+        "required": ["config"]
+    })",
+};
+
 static common_chat_tool imaginary_number_tool{
     /* .name = */ "imaginary_number",
     /* .description = */ "Imaginary number converter",
@@ -602,6 +657,66 @@ static common_chat_tool imaginary_number_tool{
     })",
 };
 
+static common_chat_tool nullable_string_tool{
+    /* .name = */ "set_nullable_str",
+    /* .description = */ "Set a nullable string value",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "name": {
+                "type": ["string", "null"],
+                "description": "A nullable string"
+            }
+        },
+        "required": ["name"]
+    })",
+};
+
+static common_chat_tool nullable_string_null_first_tool{
+    /* .name = */ "set_nullable_str_nf",
+    /* .description = */ "Set a nullable string value with null first in type array",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "name": {
+                "type": ["null", "string"],
+                "description": "A nullable string with null first"
+            }
+        },
+        "required": ["name"]
+    })",
+};
+
+static common_chat_tool nullable_int_tool{
+    /* .name = */ "set_nullable_int",
+    /* .description = */ "Set a nullable integer value",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "count": {
+                "type": ["integer", "null"],
+                "description": "A nullable integer"
+            }
+        },
+        "required": ["count"]
+    })",
+};
+
+static common_chat_tool enum_no_type_tool{
+    /* .name = */ "set_unit",
+    /* .description = */ "Set a temperature unit",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "unit": {
+                "enum": ["celsius", "fahrenheit"],
+                "description": "Temperature unit"
+            }
+        },
+        "required": ["unit"]
+    })",
+};
+
 static common_chat_tool string_param_tool{
     /* .name = */ "string_param",
     /* .description = */ "Tool with string parameter for testing",
@@ -805,7 +920,8 @@ struct peg_test_case {
     common_chat_templates_inputs params;
     std::string                  input;
     common_chat_msg              expect;
-    bool                         is_partial = false;
+    bool                         is_partial            = false;
+    bool                         expect_reconstruction = false;
 };
 
 struct make_peg_parser {
@@ -822,13 +938,18 @@ struct make_peg_parser {
     }
 
     common_chat_msg parse(const std::string & msg, bool is_partial) const {
-        common_chat_parser_params parser_params;
-        parser_params.format = params_.format;
+        common_chat_parser_params parser_params(params_);
         parser_params.debug = detailed_debug_;
         return common_chat_peg_parse(arena_, msg, is_partial, parser_params);
     }
 };
 
+// Global template filter for --template flag
+static std::string g_template_filter;
+
+// When true, run reconstruction test on every non-partial test and report results
+static bool g_force_reconstruction_test = false;
+
 static void test_peg_parser(common_chat_templates *                      tmpls,
                             const std::function<void(peg_test_case &)> & init,
                             bool                                         detailed_debug) {
@@ -877,6 +998,7 @@ static void test_peg_parser(common_chat_templates *                      tmpls,
     auto parser = make_peg_parser(tmpls, tc.params, detailed_debug);
     if (detailed_debug) {
         LOG_DBG("Using parser: \n%s\n", parser.arena_.dump(parser.arena_.root()).c_str());
+        LOG_DBG("Generation prompt: '%s'\n", parser.params_.generation_prompt.c_str());
     }
 
     common_chat_msg msg_accum;
@@ -937,59 +1059,152 @@ static void test_peg_parser(common_chat_templates *                      tmpls,
             throw std::runtime_error("Failed to build grammar: " + parser.params_.grammar);
         }
 
+        // In production, grammar triggers match against the full generated text
+        // including the generation prompt. All positions are in full_input coordinates.
+        const auto & gen_prompt = parser.params_.generation_prompt;
+        std::string full_input = gen_prompt + tc.input;
+
+        // Determine whether the reasoning-budget sampler path applies: tool-call grammar
+        // with all WORD triggers and thinking tags present. In production, the reasoning
+        // budget sampler inhibits grammar application while inside thinking blocks —
+        // triggers inside <think>...</think> are suppressed.
+        bool use_reasoning_budget_path = false;
+        if (parser.params_.grammar_lazy && !parser.params_.thinking_end_tag.empty()) {
+            use_reasoning_budget_path = true;
+            for (const auto & trigger : parser.params_.grammar_triggers) {
+                if (trigger.type != COMMON_GRAMMAR_TRIGGER_TYPE_WORD) {
+                    use_reasoning_budget_path = false;
+                    break;
+                }
+            }
+        }
+
         // Find the earliest trigger position to determine the constrained portion
         auto earliest_trigger_pos = std::string::npos;
-        for (const auto & trigger : parser.params_.grammar_triggers) {
-            size_t      pos = std::string::npos;
-            std::smatch match;
-            switch (trigger.type) {
-                case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
-                    {
-                        const auto & word = trigger.value;
-                        pos               = tc.input.find(word);
-                        break;
-                    }
-                case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
-                    {
-                        const auto & pattern = std::regex(trigger.value);
-                        if (std::regex_search(tc.input, match, pattern)) {
-                            pos = match.position(pattern.mark_count());
+
+        if (use_reasoning_budget_path) {
+            // Reasoning-budget path: simulate thinking-aware trigger detection.
+            // Walk through full_input tracking thinking state; only match triggers
+            // when outside thinking blocks.
+            const auto & think_start = parser.params_.thinking_start_tag;
+            const auto & think_end   = parser.params_.thinking_end_tag;
+
+            bool in_thinking = false;
+            for (size_t i = 0; i < full_input.size(); ++i) {
+                if (!in_thinking && !think_start.empty()
+                        && full_input.compare(i, think_start.size(), think_start) == 0) {
+                    in_thinking = true;
+                    i += think_start.size() - 1;
+                    continue;
+                }
+                if (in_thinking && full_input.compare(i, think_end.size(), think_end) == 0) {
+                    in_thinking = false;
+                    i += think_end.size() - 1;
+                    continue;
+                }
+                if (in_thinking) {
+                    continue;
+                }
+                // Outside thinking — check if any trigger word starts here
+                for (const auto & trigger : parser.params_.grammar_triggers) {
+                    if (full_input.compare(i, trigger.value.size(), trigger.value) == 0) {
+                        if (earliest_trigger_pos == std::string::npos || i < earliest_trigger_pos) {
+                            earliest_trigger_pos = i;
                         }
-                        break;
                     }
-                case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
-                    {
-                        const auto & pattern = trigger.value;
-                        if (std::regex_match(tc.input, match, std::regex(pattern))) {
-                            auto mpos = std::string::npos;
-                            for (size_t i = 1; i < match.size(); ++i) {
-                                if (match[i].length() > 0) {
-                                    mpos = match.position(i);
+                }
+                if (earliest_trigger_pos != std::string::npos) {
+                    break;  // found the earliest
+                }
+            }
+
+            // If the reasoning-budget path found no trigger outside thinking but the test
+            // expects tool calls, this template nests tool calls inside thinking
+            // blocks (e.g. Kimi). Fall back to the legacy path for this case.
+            if (earliest_trigger_pos == std::string::npos && !tc.expect.tool_calls.empty()) {
+                use_reasoning_budget_path = false;
+            }
+        }
+
+        if (!use_reasoning_budget_path) {
+            // Legacy path: find triggers without thinking-awareness
+            for (const auto & trigger : parser.params_.grammar_triggers) {
+                size_t      pos = std::string::npos;
+                std::smatch match;
+                switch (trigger.type) {
+                    case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
+                        {
+                            const auto & word = trigger.value;
+                            pos               = full_input.find(word);
+                            break;
+                        }
+                    case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
+                        {
+                            const auto & compiled = std::regex(trigger.value);
+                            if (std::regex_search(full_input, match, compiled)) {
+                                pos = match.position(compiled.mark_count());
+                            }
+                            break;
+                        }
+                    case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
+                        {
+                            // In production, PATTERN_FULL triggers are checked against
+                            // the text generated so far, growing token by token. Simulate
+                            // by trying every prefix of full_input.
+                            const auto & compiled = std::regex(trigger.value);
+                            for (size_t end = gen_prompt.size(); end <= full_input.size(); ++end) {
+                                std::string prefix = full_input.substr(0, end);
+                                if (std::regex_match(prefix, match, compiled)) {
+                                    pos = std::string::npos;
+                                    for (size_t gi = 1; gi < match.size(); ++gi) {
+                                        if (match[gi].length() > 0) {
+                                            pos = match.position(gi);
+                                            break;
+                                        }
+                                    }
+                                    if (pos == std::string::npos) {
+                                        pos = match.position(0);
+                                    }
                                     break;
                                 }
                             }
-                            if (mpos == std::string::npos) {
-                                mpos = match.position(0);
-                            }
-                            pos = mpos;
+                            break;
                         }
-                        break;
+                    default:
+                        throw std::runtime_error("Unknown trigger type");
+                }
+                if (pos != std::string::npos) {
+                    if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
+                        earliest_trigger_pos = pos;
                     }
-                default:
-                    throw std::runtime_error("Unknown trigger type");
-            }
-            if (pos != std::string::npos) {
-                if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
-                    earliest_trigger_pos = pos;
                 }
             }
         }
 
-        // Determine the constrained portion of input to test against grammar
-        std::string constrained = tc.input;
+        // If the test expects tool calls and the grammar is lazy, the trigger must fire.
+        // Otherwise the grammar would never activate in production and tool calls wouldn't
+        // be constrained. A silent skip here would hide broken triggers.
+        if (parser.params_.grammar_lazy && !tc.expect.tool_calls.empty() && !tc.is_partial
+                && earliest_trigger_pos == std::string::npos) {
+            std::string trigger_desc;
+            for (const auto & trigger : parser.params_.grammar_triggers) {
+                trigger_desc += "\n  [type=" + std::to_string(trigger.type) + "] " + trigger.value;
+            }
+            throw std::runtime_error(
+                "Grammar trigger did not fire, but test expects tool calls (lazy grammar).\n"
+                ">>> Input: " + full_input + "\n"
+                ">>> Triggers (" + std::to_string(parser.params_.grammar_triggers.size()) + "):" + trigger_desc);
+        }
+
+        // Determine the constrained portion of input to test against grammar.
+        // If the trigger position falls inside the generation prompt, the grammar
+        // sampler was already active before model output began — constrain from the
+        // start of the model output (i.e. tc.input).
+        std::string constrained = full_input;
         bool grammar_triggered = false;
         if (earliest_trigger_pos != std::string::npos) {
-            constrained = tc.input.substr(earliest_trigger_pos);
+            auto constrain_from = std::max(earliest_trigger_pos, gen_prompt.size());
+            constrained = full_input.substr(constrain_from);
             grammar_triggered = true;
         } else if (!parser.params_.grammar_lazy) {
             // For non-lazy grammars, the entire input should match
@@ -1027,10 +1242,57 @@ static void test_peg_parser(common_chat_templates *                      tmpls,
             }
         }
     }
-}
 
-// Global template filter for --template flag
-static std::string g_template_filter;
+    // Reconstruction test: verify that appending the parsed message to the original
+    // messages and re-rendering the template (without generation prompt) reproduces
+    // the original prompt + input exactly, or as a proper prefix (the template may
+    // append end-of-turn tokens after the assistant message).
+    if ((tc.expect_reconstruction || g_force_reconstruction_test) && !tc.is_partial) {
+        // Start from tc.expect but copy tool call arguments from the actual parser
+        // output, which preserves original JSON formatting (e.g. {"arg1":1} vs {"arg1": 1}).
+        auto reconstruction_msg = tc.expect;
+        auto parsed_msg         = parser.parse(tc.input, false);
+        for (size_t i = 0; i < reconstruction_msg.tool_calls.size() && i < parsed_msg.tool_calls.size(); i++) {
+            reconstruction_msg.tool_calls[i].arguments = parsed_msg.tool_calls[i].arguments;
+        }
+        common_chat_templates_inputs reconstruction_inputs = tc.params;
+        reconstruction_inputs.messages.push_back(reconstruction_msg);
+        reconstruction_inputs.add_generation_prompt = false;
+
+        auto reconstruction_params = common_chat_templates_apply(tmpls, reconstruction_inputs);
+        std::string expected_text  = parser.params_.prompt + tc.input;
+        bool match = reconstruction_params.prompt == expected_text ||
+            (reconstruction_params.prompt.size() > expected_text.size() &&
+             reconstruction_params.prompt.compare(0, expected_text.size(), expected_text) == 0);
+        if (!match && g_force_reconstruction_test && !tc.expect_reconstruction) {
+            // In forced mode, report mismatch but don't fail
+            // Find the first difference position
+            size_t diff_pos = 0;
+            size_t min_len  = std::min(expected_text.size(), reconstruction_params.prompt.size());
+            while (diff_pos < min_len && expected_text[diff_pos] == reconstruction_params.prompt[diff_pos]) {
+                diff_pos++;
+            }
+            size_t ctx_start = diff_pos > 60 ? diff_pos - 60 : 0;
+            size_t ctx_end_e = std::min(expected_text.size(), diff_pos + 40);
+            size_t ctx_end_r = std::min(reconstruction_params.prompt.size(), diff_pos + 40);
+            LOG_ERR("\x1b[31m[RECONSTRUCTION FAIL]\x1b[0m "
+                    "first diff at byte %zu (expected len=%zu, reconstructed len=%zu)\n"
+                    "  expected:      ...%s...\n"
+                    "  reconstructed: ...%s...\n",
+                    diff_pos, expected_text.size(), reconstruction_params.prompt.size(),
+                    expected_text.substr(ctx_start, ctx_end_e - ctx_start).c_str(),
+                    reconstruction_params.prompt.substr(ctx_start, ctx_end_r - ctx_start).c_str());
+        } else if (!match) {
+            std::string error_msg =
+                "Reconstruction mismatch:\n\n"
+                ">>> Expected (prompt + input):\n" + expected_text +
+                "\n\n>>> Reconstructed:\n" + reconstruction_params.prompt;
+            throw std::runtime_error(error_msg);
+        } else if (g_force_reconstruction_test) {
+            LOG_INF("\x1b[32m[RECONSTRUCTION OK]\x1b[0m\n");
+        }
+    }
+}
 
 // Fluent builder for PEG parser tests
 class peg_test_builder;
@@ -1090,6 +1352,11 @@ class peg_test_builder {
         return *this;
     }
 
+    peg_test_builder & expect_reconstruction(bool val = true) {
+        tc_.expect_reconstruction = val;
+        return *this;
+    }
+
     // Expect setters
     peg_test_builder & expect(const common_chat_msg & msg) {
         tc_.expect = msg;
@@ -1260,69 +1527,19 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     })";
 
     {
-        // Ministral-3-14B-Reasoning-2512
-        auto tst = peg_tester("models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja", detailed_debug);
-
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        // Qwen3.5 (basically same as Nemotron, but keeping separate tests just in case)
+        auto tst = peg_tester("models/templates/Qwen3.5-4B.jinja", detailed_debug);
 
-        tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
-            .expect_content("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
-            .run();
-
-        tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
             .expect(message_assist_thoughts)
             .run();
 
-        tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})")
-            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-            .tools({ special_function_tool })
-            .expect(message_assist_call)
-            .run();
-
-        tst.test(
-               "[THINK]I'm\nthinking[/THINK]"
-               R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})")
-            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-            .tools({ special_function_tool })
-            .expect(message_assist_call_thoughts)
-            .run();
-
-        tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})"
-                 R"([TOOL_CALLS]special_function_with_opt[ARGS]{"arg1": 1, "arg2": 2})")
-            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-            .parallel_tool_calls(true)
-            .tools({
-                special_function_tool, special_function_tool_with_optional_param
-        })
-            .expect_tool_calls({
-                { "special_function", R"({"arg1": 1})", {} },
-                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
-            })
-            .run();
-
-        tst.test(
-               "[THINK]I need to output the invoice details in JSON[/THINK]"
-               "```json\n"
-               R"({"amount": 123.45, "date": "2025-12-03"})"
-               "\n```")
-            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-            .json_schema(invoice_schema)
-            .expect_reasoning("I need to output the invoice details in JSON")
-            .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
-            .run();
-    }
-
-    {
-        // NVIDIA Nemotron-3 Nano
-        auto tst = peg_tester("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja", detailed_debug);
-
-        tst.test("Hello, world!\nWhat's up?").enable_thinking(false).expect(message_assist).run();
-
-        tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
-            .enable_thinking(false)
+                tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_NONE)
-            .expect_content("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .expect_content("<think>\nI'm\nthinking\n</think>\nHello, world!\nWhat's up?")
             .run();
 
         tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
@@ -1410,42 +1627,329 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_reasoning("I need to output the invoice details in JSON")
             .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
             .run();
+
+        // tool call segment in reasoning
+        tst.test(
+               "Let's call a tool: <tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Not the real call!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call></think>\n"
+               "<tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Hello, world!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>"
+            )
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                python_tool
+        })
+            .expect_reasoning("Let's call a tool: <tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Not the real call!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .expect_tool_calls({
+                { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
+            })
+            .run();
+
+        // No args tool
+        tst.test(
+               "<tool_call>\n"
+               "<function=empty_args>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ empty_args_tool })
+            .expect(message_with_tool_calls("empty_args", "{}"))
+            .run();
+
+        // No args tool with no properties defined
+        tst.test(
+               "<tool_call>\n"
+               "<function=empty_args_no_props>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ empty_args_tool_no_properties })
+            .expect(message_with_tool_calls("empty_args_no_props", "{}"))
+            .run();
     }
 
     {
-        // CohereForAI Command-R 7B (2024-tool_use)
-        auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", detailed_debug);
+        // Ministral-3-14B-Reasoning-2512
+        auto tst = peg_tester("models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja", detailed_debug);
 
-        tst.test("<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
 
-        tst.test(
-               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-               "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>")
-            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
-            .expect(message_assist_thoughts)
+        tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+            .expect_content("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+            .expect_reconstruction()
             .run();
 
-        tst.test(
-               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-               "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>")
-            .expect(message_assist_thoughts_unparsed_r7b)
+        tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .expect(message_assist_thoughts)
+            .expect_reconstruction()
             .run();
 
-        tst.test(
-               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-               "<|START_ACTION|>[\n"
-               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
-               "]<|END_ACTION|>")
-            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+        tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
             .tools({ special_function_tool })
-            .expect(message_assist_thoughts_call_idx)
+            .expect(message_assist_call)
             .run();
 
         tst.test(
-               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-               "<|START_ACTION|>[\n"
-               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", ")
-            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+               "[THINK]I'm\nthinking[/THINK]"
+               R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})"
+                 R"([TOOL_CALLS]special_function_with_opt[ARGS]{"arg1": 1, "arg2": 2})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .expect_reconstruction()
+            .run();
+
+        tst.test(
+               "[THINK]I need to output the invoice details in JSON[/THINK]"
+               "```json\n"
+               R"({"amount": 123.45, "date": "2025-12-03"})"
+               "\n```")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .json_schema(invoice_schema)
+            .expect_reasoning("I need to output the invoice details in JSON")
+            .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
+            .run();
+
+        // fake tool call marker in reasoning
+        tst.test(
+               "[THINK]Let me think about [TOOL_CALLS]special_function[ARGS]{\"arg1\":1} and more[/THINK]"
+               R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({ special_function_tool })
+            .expect_reasoning("Let me think about [TOOL_CALLS]special_function[ARGS]{\"arg1\":1} and more")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+            })
+            .expect_reconstruction()
+            .run();
+    }
+
+    {
+        // NVIDIA Nemotron-3 Nano
+        auto tst = peg_tester("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja", detailed_debug);
+
+        tst.test("Hello, world!\nWhat's up?").
+            enable_thinking(false).
+            reasoning_format(COMMON_REASONING_FORMAT_AUTO).
+            expect(message_assist).run();
+
+        tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_NONE)
+            .expect_content("<think>\nI'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .run();
+
+        tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+               "I'm\nthinking\n</think>\n"
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n"
+               "<tool_call>\n"
+               "<function=special_function_with_opt>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "<parameter=arg2>\n2\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Hello, world!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                python_tool
+        })
+            .expect_tool_calls({
+                { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
+            })
+            .run();
+
+        tst.test(
+               "I need to output the invoice details in JSON\n"
+               "</think>\n"
+               R"({"amount": 123.45, "date": "2025-12-03"})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .json_schema(invoice_schema)
+            .expect_reasoning("I need to output the invoice details in JSON")
+            .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
+            .run();
+
+        // tool call segment in reasoning
+        tst.test(
+               "Let's call a tool: <tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Not the real call!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call></think>\n"
+               "<tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Hello, world!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n"
+            )
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                python_tool
+        })
+            .expect_reasoning("Let's call a tool: <tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Not the real call!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n")
+            .expect_tool_calls({
+                { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
+            })
+            .run();
+
+    }
+
+    {
+        // CohereForAI Command-R 7B (2024-tool_use)
+        auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", detailed_debug);
+
+        tst.test("<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>").expect(message_assist).run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>")
+            .expect(message_assist_thoughts_unparsed_r7b)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_ACTION|>[\n"
+               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
+               "]<|END_ACTION|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_thoughts_call_idx)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_ACTION|>[\n"
+               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", ")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .tools({ special_function_tool })
             .is_partial(true)
             .expect(message_assist_thoughts_partial_call)
@@ -1466,9 +1970,179 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         // Google Gemma 2 2B - does not support tool calling
         auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja");
 
+        tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).expect_reconstruction().run();
+
+        tst.test("Line 1\nLine 2\nLine 3").expect(simple_assist_msg("Line 1\nLine 2\nLine 3")).expect_reconstruction().run();
+    }
+
+    {
+        // Google Gemma 4 (tool calling with Gemma4 dict format)
+        auto tst = peg_tester("models/templates/google-gemma-4-31B-it.jinja");
+
         tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run();
 
-        tst.test("Line 1\nLine 2\nLine 3").expect(simple_assist_msg("Line 1\nLine 2\nLine 3")).run();
+        // Reasoning and content
+        tst.test(
+                "<|channel>thought\nI'm\nthinking<channel|>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // Empty reasoning (budget=0: sampler forces end tag before newline)
+        tst.test(
+                "<|channel>thought<channel|>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(simple_assist_msg("Hello, world!\nWhat's up?", ""))
+            .run();
+
+        // Reasoning and content with reasoning_format = none
+        tst.test(
+                "<|channel>thought\nI'm\nthinking<channel|>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_NONE)
+            .expect_content("<|channel>thought\nI'm\nthinking<channel|>Hello, world!\nWhat's up?")
+            .run();
+
+        // Simple tool call with string argument
+        tst.test(
+                "<|tool_call>call:get_time{city:<|\"|>London<|\"|>}<tool_call|>")
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", R"({"city": "London"})"))
+            .run();
+
+        // Tool call with string argument containing special chars
+        tst.test(
+                "<|tool_call>call:get_time{city:<|\"|>San Francisco<|\"|>}<tool_call|>")
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", R"({"city": "San Francisco"})"))
+            .run();
+
+        // Tool call with empty args
+        tst.test(
+                "<|tool_call>call:empty_args{}<tool_call|>")
+            .tools({ empty_args_tool })
+            .expect(message_with_tool_calls("empty_args", "{}"))
+            .run();
+
+        // Tool call with string and content
+        tst.test(
+                "Hello, world!\nWhat's up?<|tool_call>call:get_time{city:<|\"|>Paris<|\"|>}<tool_call|>")
+            .tools({ get_time_tool })
+            .expect(message_with_content_and_tool_call("Hello, world!\nWhat's up?", "get_time", R"({"city": "Paris"})"))
+            .run();
+
+        // Parallel tool calls
+        tst.test(
+                "<|tool_call>call:get_time{city:<|\"|>London<|\"|>}<tool_call|>"
+                "<|tool_call>call:get_weather{city:<|\"|>Paris<|\"|>}<tool_call|>")
+            .tools({ get_time_tool, get_weather_tool })
+            .parallel_tool_calls(true)
+            .expect_tool_calls({
+                { "get_time", R"({"city": "London"})", "" },
+                { "get_weather", R"({"city": "Paris"})", "" },
+            })
+            .run();
+
+        // Tool call with integer argument (number type)
+        tst.test(
+                "<|tool_call>call:special_function{arg1:42}<tool_call|>")
+            .tools({ special_function_tool })
+            .expect(message_with_tool_calls("special_function", R"({"arg1": 42})"))
+            .run();
+
+        // Tool call with negative number argument
+        tst.test(
+                "<|tool_call>call:special_function{arg1:-7}<tool_call|>")
+            .tools({ special_function_tool })
+            .expect(message_with_tool_calls("special_function", R"({"arg1": -7})"))
+            .run();
+
+        // Tool call with decimal number argument
+        tst.test(
+                "<|tool_call>call:amount{orig:3.14}<tool_call|>")
+            .tools({ amount_tool })
+            .expect(message_with_tool_calls("amount", R"({"orig": 3.14})"))
+            .run();
+
+        // Tool call with boolean argument (true)
+        tst.test(
+                "<|tool_call>call:toggle{enabled:true}<tool_call|>")
+            .tools({ toggle_tool })
+            .expect(message_with_tool_calls("toggle", R"({"enabled": true})"))
+            .run();
+
+        // Tool call with boolean argument (false)
+        tst.test(
+                "<|tool_call>call:toggle{enabled:false}<tool_call|>")
+            .tools({ toggle_tool })
+            .expect(message_with_tool_calls("toggle", R"({"enabled": false})"))
+            .run();
+
+        // Tool call with null argument
+        tst.test(
+                "<|tool_call>call:set_nullable{value:null}<tool_call|>")
+            .tools({ nullable_tool })
+            .expect(message_with_tool_calls("set_nullable", R"({"value": null})"))
+            .run();
+
+        // Tool call with array argument (todo list)
+        tst.test(
+                "<|tool_call>call:todo_list{todos:[<|\"|>buy milk<|\"|>,<|\"|>walk dog<|\"|>]}<tool_call|>")
+            .tools({ todo_list })
+            .expect(message_with_tool_calls("todo_list", R"({"todos":["buy milk","walk dog"]})"))
+            .run();
+
+        // Tool call with object/dict argument
+        tst.test(
+                "<|tool_call>call:set_config{config:{theme:<|\"|>dark<|\"|>,count:3}}<tool_call|>")
+            .tools({ config_tool })
+            .expect(message_with_tool_calls("set_config", R"({"config":{"theme":"dark","count":3}})"))
+            .run();
+
+        // Tool call with empty array
+        tst.test(
+                "<|tool_call>call:todo_list{todos:[]}<tool_call|>")
+            .tools({ todo_list })
+            .expect(message_with_tool_calls("todo_list", R"({"todos":[]})"))
+            .run();
+
+        // Tool call with empty dict
+        tst.test(
+                "<|tool_call>call:set_config{config:{}}<tool_call|>")
+            .tools({ config_tool })
+            .expect(message_with_tool_calls("set_config", R"({"config":{}})"))
+            .run();
+
+        // Tool call with scientific notation number
+        tst.test(
+                "<|tool_call>call:amount{orig:1.5e10}<tool_call|>")
+            .tools({ amount_tool })
+            .expect(message_with_tool_calls("amount", R"({"orig": 1.5e10})"))
+            .run();
+
+        // Edge cases
+        tst.test(
+                "<|channel>thought\n<channel|>Hello, world!\nWhat's up?<channel|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        tst.test(
+                "<|channel>thought\n<channel|>Hello, world!\nWhat's up?<|channel>thought\n<channel|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        tst.test(
+                "<|channel>thought\n<channel|>Hello, world!\nWhat's up?<|channel>thought\n<channel|><channel|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        tst.test(
+                "<|channel><|channel>thought\n<channel|>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
     }
 
     {
@@ -1482,7 +2156,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect(simple_assist_msg("The answer is 42.", "Let me think about this..."))
             .run();
 
-        tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run();
+        tst.test("</think>Hello, world!").reasoning_format(COMMON_REASONING_FORMAT_AUTO).expect(simple_assist_msg("Hello, world!")).run();
     }
     {
         // NousResearch-Hermes-2-Pro and Hermes-3 (tool calling models)
@@ -1490,7 +2164,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         tst.test(
                "<tool_call>\n"
-               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}"
                "</tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
@@ -1498,7 +2172,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         tst.test(
                "Hello, world!\nWhat's up?<tool_call>\n"
-               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}"
                "</tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call_content)
@@ -1511,7 +2185,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         // Test simple content-only template
         auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja", detailed_debug);
 
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
     }
     {
         // IBM Granite (reasoning and tool calling model)
@@ -1531,6 +2205,22 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         //     .run();
     }
 
+    {
+        // IBM Granite 4.0 (production template shared by h-tiny, h-small, micro)
+        // Uses <tool_call> XML tags for tool calls, tools in system message
+        auto tst = peg_tester("models/templates/ibm-granite-granite-4.0.jinja", detailed_debug);
+
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        tst.test(
+               "<tool_call>\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "</tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
+
     {
         // ByteDance-Seed-OSS (reasoning and tool calling model)
         auto tst = peg_tester("models/templates/ByteDance-Seed-OSS.jinja", detailed_debug);
@@ -1617,13 +2307,14 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                 }
             })
             .run();
+
     }
 
     {
         // Qwen3-Coder (tool calling with XML-style format)
         auto tst = peg_tester("models/templates/Qwen3-Coder.jinja", detailed_debug);
 
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
 
         tst.test(
                "<tool_call>\n"
@@ -1635,6 +2326,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "</tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
 
         tst.test(
@@ -1663,6 +2355,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                 { "special_function", R"({"arg1": 1})", {} },
                 { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test with code content (multiline)
@@ -1683,6 +2376,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_tool_calls({
                 { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test with code content (asian unicode chars)
@@ -1700,6 +2394,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_tool_calls({
                 { "python", "{\"code\": \"格\"}", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test with HTML tag content
@@ -1721,6 +2416,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_tool_calls({
                 { "html", "{\"markup\": \"<html>\\n <head>\\n  <title>Hello!</title>\\n </head>\\n</html>\"}", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test with TODO list (array of objects)
@@ -1738,6 +2434,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_tool_calls({
                 { "todo_list", "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test flexible optional argument ordering (2 required + 4 optional, reversed optional order)
@@ -1754,6 +2451,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_tool_calls({
                 { "tool_2req_4opt", R"({"req1": "hello", "req2": 42, "opt4": 100, "opt2": 200})", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test flexible optional argument ordering (2 required + 5 optional, reversed optional order)
@@ -1771,6 +2469,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_tool_calls({
                 { "tool_2req_5opt", R"({"req1": "world", "req2": 7, "opt5": "last", "opt3": "middle", "opt1": "first"})", {} },
             })
+            .expect_reconstruction()
             .run();
 
         // Test flexible optional argument ordering (2 required + 5 optional, all 5 in shuffled order)
@@ -1788,64 +2487,329 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "</tool_call>")
             .tools({ tool_2req_5opt })
             .expect_tool_calls({
-                { "tool_2req_5opt", R"({"req1": "test", "req2": 99, "opt3": "c", "opt1": "a", "opt5": "e", "opt4": 4, "opt2": 2})", {} },
+                { "tool_2req_5opt", R"({"req1": "test", "req2": 99, "opt3": "c", "opt1": "a", "opt5": "e", "opt4": 4, "opt2": 2})", {} },
+            })
+            .expect_reconstruction()
+            .run();
+
+        // nullable string type ["string", "null"]
+        tst.test(
+               "<tool_call>\n"
+               "<function=set_nullable_str>\n"
+               "<parameter=name>\nhello world\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ nullable_string_tool })
+            .expect_tool_calls({
+                { "set_nullable_str", R"({"name": "hello world"})", {} },
+            })
+            .run();
+
+        // nullable string with null first in type array ["null", "string"]
+        tst.test(
+               "<tool_call>\n"
+               "<function=set_nullable_str_nf>\n"
+               "<parameter=name>\nhello world\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ nullable_string_null_first_tool })
+            .expect_tool_calls({
+                { "set_nullable_str_nf", R"({"name": "hello world"})", {} },
+            })
+            .run();
+
+        // nullable integer type ["integer", "null"] - should use JSON value path, not string
+        tst.test(
+               "<tool_call>\n"
+               "<function=set_nullable_int>\n"
+               "<parameter=count>\n42\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ nullable_int_tool })
+            .expect_tool_calls({
+                { "set_nullable_int", R"({"count": 42})", {} },
+            })
+            .run();
+
+        // enum without explicit type key - should infer string from enum values
+        tst.test(
+               "<tool_call>\n"
+               "<function=set_unit>\n"
+               "<parameter=unit>\ncelsius\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ enum_no_type_tool })
+            .expect_tool_calls({
+                { "set_unit", R"({"unit": "celsius"})", {} },
+            })
+            .run();
+    }
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test(
+               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
+               "\"XYZCITY\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .tools({ get_time_tool })
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
+            .run();
+    }
+
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test(
+               "REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
+               "\"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls_and_reasoning("get_time", "{\"city\":\"Tokyo\"}", "REASONING"))
+            .run();
+    }
+
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test(
+               "REASONING</think>CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
+               "\"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": "
+               "\"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .tools({
+                get_time_tool, get_weather_tool
+        })
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .parallel_tool_calls(true)
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "REASONING", "CONTENT",
+                { { "get_time", "{\"city\":\"Paris\"}" }, { "get_weather", "{\"city\":\"Paris\"}" } }))
+            .run();
+    }
+
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test("REASONING</think>\nCONTENT")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(simple_assist_msg("CONTENT", "REASONING\n"))
+            .run();
+    }
+
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test("CONTENT").enable_thinking(false).reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK).
+            expect(simple_assist_msg("CONTENT", "")).run();
+    }
+
+    // DeepSeek V3.2 tests - format uses DSML markup:
+    //   <｜DSML｜function_calls>
+    //   <｜DSML｜invoke name="foo">
+    //   <｜DSML｜parameter name="bar" string="true|false">value</｜DSML｜parameter>
+    //   </｜DSML｜invoke>
+    //   </｜DSML｜function_calls>
+    // Reasoning uses <think>...</think>. The generation prompt ends in <think> (thinking mode)
+    // or <think></think> (non-thinking mode).
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.2.jinja", detailed_debug);
+
+        // Pure content (non-thinking mode)
+        tst.test("Hello, world!\nWhat's up?")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist)
+            .run();
+
+        // Thinking + content
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // Thinking + tool call (single, string param)
+        tst.test(
+               "Let me check the time</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"get_time\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">Tokyo</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls_and_reasoning("get_time", R"({"city": "Tokyo"})", "Let me check the time"))
+            .run();
+
+        // Tool call without reasoning (non-thinking mode), integer param (string="false")
+        tst.test(
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"special_function\">\n"
+               "<｜DSML｜parameter name=\"arg1\" string=\"false\">1</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Multiple parallel tool calls with reasoning
+        tst.test(
+               "Calling both</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"get_time\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">Paris</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "<｜DSML｜invoke name=\"get_weather\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">Paris</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .parallel_tool_calls(true)
+            .tools({ get_time_tool, get_weather_tool })
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "Calling both", "",
+                { { "get_time", R"({"city": "Paris"})" }, { "get_weather", R"({"city": "Paris"})" } }))
+            .run();
+
+        // Tool call with content before tool calls
+        tst.test(
+               "Thinking about it</think>"
+               "Let me call the function.\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"special_function\">\n"
+               "<｜DSML｜parameter name=\"arg1\" string=\"false\">1</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect_reasoning("Thinking about it")
+            .expect_content("Let me call the function.")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+            })
+            .run();
+
+        // Tool call with negative number
+        tst.test(
+               "Test negative</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"magic_int\">\n"
+               "<｜DSML｜parameter name=\"ref\" string=\"false\">-14</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ magic_int_tool })
+            .expect_reasoning("Test negative")
+            .expect_tool_calls({
+                { "magic_int", R"({"ref": -14})", {} },
+            })
+            .run();
+
+        // Tool call with decimal number
+        tst.test(
+               "Test decimal</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"amount\">\n"
+               "<｜DSML｜parameter name=\"orig\" string=\"false\">3.14</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ amount_tool })
+            .expect_reasoning("Test decimal")
+            .expect_tool_calls({
+                { "amount", R"({"orig": 3.14})", {} },
+            })
+            .run();
+
+        // Tool call with boolean
+        tst.test(
+               "Test boolean</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"toggle\">\n"
+               "<｜DSML｜parameter name=\"enabled\" string=\"false\">true</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ toggle_tool })
+            .expect_reasoning("Test boolean")
+            .expect_tool_calls({
+                { "toggle", R"({"enabled": true})", {} },
+            })
+            .run();
+
+        // Tool call with array parameter (JSON-formatted)
+        tst.test(
+               "Test array</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"todo_list\">\n"
+               "<｜DSML｜parameter name=\"todos\" string=\"false\">[\"buy milk\",\"walk dog\"]</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ todo_list })
+            .expect_reasoning("Test array")
+            .expect_tool_calls({
+                { "todo_list", R"({"todos": ["buy milk", "walk dog"]})", {} },
             })
             .run();
-    }
-    {
-        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
-        tst.test(
-               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
-               "\"XYZCITY\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
-            .tools({ get_time_tool })
-            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
-            .run();
-    }
 
-    {
-        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        // Tool call with object parameter (JSON-formatted)
         tst.test(
-               "REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
-               "\"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+               "Test object</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"set_config\">\n"
+               "<｜DSML｜parameter name=\"config\" string=\"false\">{\"theme\":\"dark\",\"level\":2}</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
-            .tools({ get_time_tool })
-            .expect(message_with_tool_calls_and_reasoning("get_time", "{\"city\":\"Tokyo\"}", "REASONING"))
+            .tools({ config_tool })
+            .expect_reasoning("Test object")
+            .expect_tool_calls({
+                { "set_config", R"({"config": {"theme": "dark", "level": 2}})", {} },
+            })
             .run();
-    }
 
-    {
-        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        // Edge case: empty reasoning
         tst.test(
-               "REASONING</think>CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
-               "\"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": "
-               "\"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
-            .tools({
-                get_time_tool, get_weather_tool
-        })
+               "</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"get_time\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">XYZCITY</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
-            .parallel_tool_calls(true)
-            .expect(message_with_reasoning_content_and_multiple_tool_calls(
-                "REASONING", "CONTENT",
-                { { "get_time", "{\"city\":\"Paris\"}" }, { "get_weather", "{\"city\":\"Paris\"}" } }))
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", R"({"city": "XYZCITY"})"))
             .run();
-    }
 
-    {
-        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
-        tst.test("REASONING</think>\nCONTENT")
+        // Edge case: tool call with multiple params (mixed types, string first)
+        tst.test(
+               "Multi-arg call</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"magic_int\">\n"
+               "<｜DSML｜parameter name=\"ref\" string=\"false\">42</｜DSML｜parameter>\n"
+               "<｜DSML｜parameter name=\"name\" string=\"true\">foo bar</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
-            .expect(simple_assist_msg("CONTENT", "REASONING\n"))
+            .tools({ magic_int_tool })
+            .expect_reasoning("Multi-arg call")
+            .expect_tool_calls({
+                { "magic_int", R"({"ref": 42, "name": "foo bar"})", {} },
+            })
             .run();
     }
 
-    {
-        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
-        tst.test("CONTENT").expect(simple_assist_msg("CONTENT", "")).run();
-    }
-
     // GLM-4.6 tests - format: <tool_call>function_name\n<arg_key>...</arg_key>\n<arg_value>...</arg_value>\n</tool_call>
     {
         auto tst = peg_tester("models/templates/GLM-4.6.jinja", detailed_debug);
@@ -1867,6 +2831,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         tst.test("Hello, world!\nWhat's up?")
             .enable_thinking(false)
             .expect(message_assist)
+            .expect_reconstruction()
             .run();
 
         // Reasoning with content (forced-open mode - input starts after <think>)
@@ -1874,6 +2839,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .expect(message_assist_thoughts)
+            .expect_reconstruction()
             .run();
 
         // Tool call without reasoning
@@ -1884,6 +2850,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .enable_thinking(false)
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
 
         // Tool call with reasoning (forced-open mode)
@@ -1896,6 +2863,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .tools({ special_function_tool })
             .expect(message_assist_call_thoughts)
+            .expect_reconstruction()
             .run();
 
         tst.test(
@@ -1906,6 +2874,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "<arg_key>arg1</arg_key><arg_value>1</arg_value>"
                "<arg_key>arg2</arg_key><arg_value>2</arg_value>"
                "</tool_call>")
+            .enable_thinking(false)
             .parallel_tool_calls(true)
             .tools({
                 special_function_tool, special_function_tool_with_optional_param
@@ -1914,7 +2883,84 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                 { "special_function", R"({"arg1": 1})", {} },
                 { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
             })
+            .expect_reconstruction()
             .run();
+
+        // #20650: tool with no required args, model emits <tool_call>name</tool_call> with no arg tags.
+        {
+            static common_chat_tool no_args_tool{
+                "read_file_diff_md", "Reads a file diff",
+                R"({"type":"object","properties":{"review_id":{"type":"string"},"file_id":{"type":"string"}}})",
+            };
+            tst.test(
+                   "Let me read the diff content."
+                   "</think>"
+                   "<tool_call>read_file_diff_md</tool_call>")
+                .enable_thinking(true)
+                .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+                .tools({ no_args_tool })
+                .expect_reasoning("Let me read the diff content.")
+                .expect_tool_calls({{ "read_file_diff_md", "{}", {} }})
+                .expect_reconstruction()
+                .run();
+        }
+    }
+
+    // Verify the throw path produces a readable error message, not std::out_of_range.
+    // #20424 introduced effective_input = generation_prompt + input, but the throw
+    // uses input.substr(result.end) where result.end is in effective_input space.
+    {
+        if (!g_template_filter.empty() && std::string("models/templates/GLM-4.7-Flash.jinja").find(g_template_filter) != std::string::npos) {
+            auto tmpls = common_chat_templates_ptr(
+                common_chat_templates_init(nullptr, read_file("models/templates/GLM-4.7-Flash.jinja")));
+
+            static common_chat_tool weather_tool{
+                "get_weather", "Get weather",
+                R"({"type":"object","properties":{"city":{"type":"string"}},"required":["city"]})",
+            };
+
+            common_chat_templates_inputs inputs;
+            inputs.tools = { weather_tool };
+            inputs.enable_thinking = true;
+            inputs.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
+            inputs.add_generation_prompt = true;
+            inputs.use_jinja = true;
+            common_chat_msg msg;
+            msg.role = "user";
+            msg.content = "get_weather";
+            inputs.messages = { msg };
+
+            auto params = common_chat_templates_apply(tmpls.get(), inputs);
+            common_peg_arena arena;
+            arena.load(params.parser);
+            common_chat_parser_params pp(params);
+
+            // generation_prompt is non-empty for thinking models, so result.end
+            // will be offset by generation_prompt.size() into effective_input space.
+            assert(!pp.generation_prompt.empty());
+
+            std::string bad_input =
+                "Thinking.\n"
+                "</think>"
+                "<tool_call>get_weather"
+                "<arg_key>city</arg_key><arg_value>Tokyo</arg_value>"
+                "</tool_call>\n";
+
+            bool got_runtime_error = false;
+            bool got_out_of_range = false;
+            std::string error_msg;
+            try {
+                common_chat_peg_parse(arena, bad_input, /*is_partial=*/false, pp);
+            } catch (const std::out_of_range & e) {
+                got_out_of_range = true;
+                error_msg = e.what();
+            } catch (const std::runtime_error & e) {
+                got_runtime_error = true;
+                error_msg = e.what();
+            }
+            GGML_ASSERT(!got_out_of_range && "throw path crashed with out_of_range (input.substr in effective_input space)");
+            GGML_ASSERT(got_runtime_error  && "throw path should produce std::runtime_error with parse position");
+        }
     }
 
     // Kimi-K2-Thinking tests - custom parser
@@ -2116,22 +3162,24 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         // Kimi-K2 old template
         auto tst = peg_tester("models/templates/moonshotai-Kimi-K2.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test(
                "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
                "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
             .tools({ special_function_tool })
             .expect(kimi_id_special_func_tool_call)
+            .expect_reconstruction()
             .run();
 
         // Kimi-K2-Instruct
         auto tst2 = peg_tester("models/templates/Kimi-K2-Instruct.jinja", detailed_debug);
-        tst2.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst2.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst2.test(
                "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
                "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
             .tools({ special_function_tool })
             .expect(kimi_id_special_func_tool_call)
+            .expect_reconstruction()
             .run();
     }
 
@@ -2205,8 +3253,168 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .tools({ empty_args_tool })
             .expect(simple_assist_msg("", "", "empty_args", "{}"))
             .run();
+
+        // fake tool call marker in reasoning
+        tst.test(
+               "<think>Let me think about <|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|> hmm</think>"
+               "<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect_reasoning("Let me think about <|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|> hmm")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+            })
+            .run();
+    }
+
+    // LFM2.5 tests - uses plain "List of tools: [...]" and bare [name(args)] without wrapper tokens
+    {
+        auto tst = peg_tester("models/templates/LFM2.5-Instruct.jinja", detailed_debug);
+
+        // Basic content only
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        // Single tool call without reasoning
+        tst.test("[special_function(arg1=1)]")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with string argument
+        tst.test("[get_time(city=\"XYZCITY\")]")
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
+            .run();
+
+        // Tool call with reasoning (enable_thinking=true)
+        tst.test("<think>I'm\nthinking</think>[special_function(arg1=1)]")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        // Multiple tool calls (parallel)
+        tst.test("[special_function(arg1=1), special_function_with_opt(arg1=1, arg2=2)]")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+            })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        // Tool call with content before tool call
+        tst.test("Let me check the time.[get_time(city=\"Paris\")]")
+            .tools({ get_time_tool })
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "", "Let me check the time.", { { "get_time", "{\"city\":\"Paris\"}" } }
+            ))
+            .run();
+
+        // Partial tool call (streaming)
+        tst.test("[special_function(arg1=")
+            .tools({ special_function_tool })
+            .is_partial(true)
+            .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": "))
+            .run();
+
+        // Tool call with empty arguments
+        tst.test("[empty_args()]")
+            .tools({ empty_args_tool })
+            .expect(simple_assist_msg("", "", "empty_args", "{}"))
+            .run();
+    }
+
+    // Reka-Edge tests - uses native JSON format with per-call wrapper
+    {
+        auto tst = peg_tester("models/templates/Reka-Edge.jinja", detailed_debug);
+
+        // Basic content only
+        tst.test("Hello, world!\nWhat's up?").enable_thinking(false).expect(message_assist).run();
+
+        // Single tool call without reasoning
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>")
+            .enable_thinking(false)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with string argument
+        tst.test("<tool_call>\n{\"name\": \"get_time\", \"arguments\": {\"city\": \"XYZCITY\"}}</tool_call>")
+            .enable_thinking(false)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
+            .run();
+
+        // Tool call with reasoning (enable_thinking=true)
+        tst.test("I'm\nthinking</think><tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        // Multiple tool calls (parallel)
+        tst.test(
+            "<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>"
+            "<tool_call>\n{\"name\": \"special_function_with_opt\", \"arguments\": {\"arg1\": 1, \"arg2\": 2}}</tool_call>"
+        )
+            .enable_thinking(false)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+            })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        // Tool call with reasoning and content
+        tst.test("I need to call a function</think>"
+                 "Let me check the time.<tool_call>\n{\"name\": \"get_time\", \"arguments\": {\"city\": \"XYZCITY\"}}</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ get_time_tool })
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "I need to call a function", "Let me check the time.", { { "get_time", "{\"city\":\"XYZCITY\"}" } }
+            ))
+            .run();
+
+        // Partial tool call (streaming)
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\":")
+            .tools({ special_function_tool })
+            .enable_thinking(false)
+            .is_partial(true)
+            .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": "))
+            .run();
+
+        // Tool call with empty arguments
+        tst.test("<tool_call>\n{\"name\": \"empty_args\", \"arguments\": {}}</tool_call>")
+            .enable_thinking(false)
+            .tools({ empty_args_tool })
+            .expect(simple_assist_msg("", "", "empty_args", "{}"))
+            .run();
+
+        // fake tool call marker in reasoning
+        tst.test(
+               "Let me think about <tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 2}}</tool_call> hmm</think>"
+               "<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect_reasoning("Let me think about <tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 2}}</tool_call> hmm")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+            })
+            .run();
     }
 
+
     // Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format
     // Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|>
     {
@@ -2214,6 +3422,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         tst.test("<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
     }
 
@@ -2221,11 +3430,23 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // Format: <minimax:tool_call><invoke name="func"><parameter name="key">value</parameter></invoke></minimax:tool_call>
     {
         auto tst = peg_tester("models/templates/MiniMax-M2.jinja", detailed_debug);
+        tst.test("</think>Hello, world!\nWhat's up?").enable_thinking(true).reasoning_format(COMMON_REASONING_FORMAT_AUTO).expect(message_assist).run();
+
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?").enable_thinking(true).reasoning_format(COMMON_REASONING_FORMAT_AUTO).expect(message_assist_thoughts).run();
+
+        tst.test("Let's call a tool:</think><minimax:tool_call>\n<invoke name=\"empty_args\">\n</invoke>\n</minimax:tool_call>").
+            enable_thinking(true).
+            reasoning_format(COMMON_REASONING_FORMAT_AUTO).
+            tools({ empty_args_tool }).
+            expect(message_with_reasoning_and_tool_call("Let's call a tool:", "empty_args", "{}")).
+            run();
+
         tst.test(
-               "<minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter "
+               "</think><minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter "
                "name=\"arg1\">1</parameter>\n</invoke>\n</minimax:tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .run();
     }
 
@@ -2271,37 +3492,41 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // mistralai-Mistral-Nemo-Instruct-2407.jinja
     {
         auto tst = peg_tester("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]")
             .tools({ special_function_tool })
             .expect(message_assist_call_id)
+            .expect_reconstruction()
             .run();
     }
     {
         auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.1.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("<function=special_function>{\"arg1\": 1}</function>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
     }
     // Functionary v3.2 - recipient-based format: >>>recipient\n{content}
     {
         auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.2.jinja", detailed_debug);
-        tst.test(">>>all\nHello, world!\nWhat's up?").expect(message_assist).run();
-        tst.test(">>>special_function\n{\"arg1\": 1}")
+        tst.test("all\nHello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
+        tst.test("special_function\n{\"arg1\": 1}")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
     }
 
     // FireFunction
     {
         auto tst = peg_tester("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test(" functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
     }
 
@@ -2309,8 +3534,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // Note: Template uses forced-open mode (prompt ends with <think>), so input shouldn't include opening tag
     {
         auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?")
-            .enable_thinking(true)  // Forced open
+        tst.test("</think>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .expect(message_assist)
             .run();
         tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
@@ -2322,14 +3547,15 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // llama-cpp DeepSeek R1 template (always forced-open thinking)
     {
         auto tst = peg_tester("models/templates/llama-cpp-deepseek-r1.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("</think>Hello, world!\nWhat's up?").expect(message_assist).reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK).run();
         tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .expect(message_assist_thoughts)
             .run();
         tst.test(
-               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+               "</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
                "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .tools({ special_function_tool })
             .parallel_tool_calls(true)
             .expect(message_assist_call)
@@ -2339,7 +3565,9 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // Note: Template uses forced-open mode (prompt ends with <think>), so input shouldn't include opening tag
     {
         auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").enable_thinking(true).expect(message_assist).run();
+        tst.test("</think>Hello, world!\nWhat's up?").enable_thinking(true).
+            reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK).
+            expect(message_assist).run();
         tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
             .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .expect(message_assist_thoughts)
@@ -2348,6 +3576,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
                "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
             .tools({ special_function_tool })
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
             .expect(message_assist_call)
             .run();
     }
@@ -2357,10 +3587,11 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
          { "models/templates/MiMo-VL.jinja", "models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja",
            "models/templates/Qwen-Qwen2.5-7B-Instruct.jinja" }) {
         auto tst = peg_tester(path, detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n</tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
     }
 
@@ -2377,12 +3608,13 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // Apriel 1.6 Thinker (reasoning-only support)
     {
         auto tst = peg_tester("models/templates/Apriel-1.6-15b-Thinker-fixed.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
 
         // Implicit reasoning start (forced open)
         tst.test("I'm\nthinking\n[BEGIN FINAL RESPONSE]\nHello, world!\nWhat's up?")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-            .expect(message_assist_thoughts)
+            .enable_thinking(true)
+            .expect(simple_assist_msg("Hello, world!\nWhat's up?", "Here are my reasoning steps:\nI'm\nthinking"))
+            .expect_reconstruction()
             .run();
 
         // Reasoning + Tool calls
@@ -2390,50 +3622,69 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "I'm\nthinking\n[BEGIN FINAL RESPONSE]\n<tool_calls>[{\"name\": \"special_function\", \"arguments\": "
                "{\"arg1\": 1}}]</tool_calls>")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
             .tools({ special_function_tool })
-            .expect(message_assist_call_thoughts)
+            .expect(simple_assist_msg("", "Here are my reasoning steps:\nI'm\nthinking", "special_function", "{\"arg1\":1}"))
             .run();
     }
 
     // Mistral Small 3.2 - FUNC_BRACKET_TAG format: [TOOL_CALLS]func_name[CALL_ID]id[ARGS]{...}
     {
         auto tst = peg_tester("models/templates/Mistral-Small-3.2-24B-Instruct-2506.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("[TOOL_CALLS]special_function[CALL_ID]123456789[ARGS]{\"arg1\": 1}")
             .tools({ special_function_tool })
             .expect(message_assist_call_id)
+            .expect_reconstruction()
+            .run();
+
+        tst.test("[TOOL_CALLS]special_function[CALL_ID]000000001[ARGS]{\"arg1\": 1}"
+            "[TOOL_CALLS]special_function_with_opt[CALL_ID]000000002[ARGS]{\"arg1\": 1, \"arg2\": 2}")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+            })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", "000000001" },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", "000000002" },
+            })
+            .expect_reconstruction()
             .run();
+
+
     }
     // Devstral
     {
         auto tst = peg_tester("models/templates/unsloth-mistral-Devstral-Small-2507.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("[TOOL_CALLS]special_function[ARGS]{\"arg1\": 1}")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
         tst.test("Hello, world!\nWhat's up?[TOOL_CALLS]special_function[ARGS]{\"arg1\": 1}")
             .tools({ special_function_tool })
             .expect(message_assist_call_content)
+            .expect_reconstruction()
             .run();
     }
 
     {
         // Llama 3.1
         auto tst = peg_tester("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).expect_reconstruction().run();
     }
 
     {
         // Llama 3.2
         auto tst = peg_tester("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).expect_reconstruction().run();
     }
 
     {
         // Llama 3.3
         auto tst = peg_tester("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").tools({ python_tool }).expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").tools({ python_tool }).expect(message_assist).expect_reconstruction().run();
     }
 
     // GPT-OSS format tests
@@ -2454,6 +3705,14 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect(message_assist_thoughts)
             .run();
 
+        // Analysis channel (reasoning) with final channel (content) with reasoning_format = none
+        tst.test(
+               "<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's "
+               "up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_NONE)
+            .expect_content("<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?")
+            .run();
+
         // Analysis channel only (partial) - still works when reasoning format is set
         tst.test("<|channel|>analysis<|message|>I'm\nthinking")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
@@ -2463,24 +3722,28 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         // Tool call with recipient in role header: " to=functions.NAME<|channel|>analysis<|message|>JSON"
         tst.test(" to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({ special_function_tool })
             .expect(message_assist_call)
             .run();
 
         // Tool call with recipient in channel header: "<|channel|>analysis to=functions.NAME<|message|>JSON"
         tst.test("<|channel|>analysis to=functions.special_function<|message|>{\"arg1\": 1}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({ special_function_tool })
             .expect(message_assist_call)
             .run();
 
         // Tool call with constraint: " to=functions.NAME<|channel|>analysis <|constrain|>json<|message|>JSON"
         tst.test(" to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({ special_function_tool })
             .expect(message_assist_call)
             .run();
 
         // Tool call in commentary channel (channel header variant)
         tst.test("<|channel|>commentary to=functions.special_function<|message|>{\"arg1\": 1}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({ special_function_tool })
             .expect(message_assist_call)
             .run();
@@ -2518,7 +3781,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                             },
                             "replaceAll": {
                                 "type": "boolean",
-                                "description": "Whether to replace all occurences."
+                                "description": "Whether to replace all occurrences."
                             }
                         },
                         "required": ["oldString", "newString"]
@@ -2543,6 +3806,45 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_reasoning("I need to output the invoice details in JSON")
             .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
             .run();
+
+
+        // Unsolicited tool calls. There is no good way to handle these, so we return empty content.
+
+        // Builtin function - recipient in role
+        tst.test(
+               "<|channel|>analysis<|message|>I will execute python to say hello<|end|>"
+               "<|start|>assistant to=container.exec<|channel|>commentary<|message|>python3 -c 'print(\"hello\")'")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect_reasoning("I will execute python to say hello")
+            .expect_content("")
+            .run();
+
+        // Builtin function - recipient in channel
+        tst.test(
+               "<|channel|>analysis<|message|>I will execute python to say hello<|end|>"
+               "<|start|>assistant<|channel|>commentary to=python <|constrain|>code<|message|>print(\"hello\")")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect_reasoning("I will execute python to say hello")
+            .expect_content("")
+            .run();
+
+        // Edge cases
+
+        // "<|channel|>commentary to=assistant" before reasoning
+        tst.test(
+               "<|channel|>commentary to=assistant<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's "
+               "up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // "<|channel|>commentary to=assistant" before final message
+        tst.test(
+               "<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>commentary to=assistant<|channel|>final<|message|>Hello, world!\nWhat's "
+               "up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
     }
 
     {
@@ -2737,10 +4039,11 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // GigaChat V3
     {
         auto tst = peg_tester("models/templates/GigaChat3-10B-A1.8B.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("<|message_sep|>\n\nfunction call<|role_sep|>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
 
         tst.test(
@@ -2749,16 +4052,18 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         )
             .tools({ special_function_tool })
             .expect(message_assist_call_content)
+            .expect_reconstruction()
             .run();
     }
 
     // GigaChat V3.1
     {
         auto tst = peg_tester("models/templates/GigaChat3.1-10B-A1.8B.jinja", detailed_debug);
-        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).expect_reconstruction().run();
         tst.test("<|function_call|>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}")
             .tools({ special_function_tool })
             .expect(message_assist_call)
+            .expect_reconstruction()
             .run();
 
         tst.test(
@@ -2767,6 +4072,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         )
             .tools({ special_function_tool })
             .expect(message_assist_call_content)
+            .expect_reconstruction()
             .run();
     }
 }
@@ -2903,6 +4209,10 @@ int main(int argc, char ** argv) {
             detailed_debug = true;
             common_log_set_verbosity_thold(999);
         }
+        if (arg == "--force-reconstruction-test") {
+            g_force_reconstruction_test = true;
+            only_run_filtered          = true;
+        }
     }
 
     if (only_run_filtered) {
diff --git a/tests/test-gguf-model-data.cpp b/tests/test-gguf-model-data.cpp
index cc0174961d31b96faa7a59bf9dcdc5f78f78b200..e05c4b8976f8e1c4c28fa9e283ef86e83e48b5e6 100644
--- a/tests/test-gguf-model-data.cpp
+++ b/tests/test-gguf-model-data.cpp
@@ -116,6 +116,39 @@ int main() {
     // Verify tensor count
     TEST_ASSERT(model3.tensors.size() == 780, "expected tensor count == 780");
 
+    // Test a hybrid-attention model with array-valued head counts
+    auto result4 = gguf_fetch_model_meta("ggml-org/Step-3.5-Flash-GGUF", "Q4_K");
+    if (!result4.has_value()) {
+        fprintf(stderr, "FAIL: could not fetch Step-3.5-Flash metadata\n");
+        return 1;
+    }
+    const auto & model4 = result4.value();
+
+    fprintf(stderr, "Architecture:  %s\n", model4.architecture.c_str());
+    fprintf(stderr, "n_embd:        %u\n", model4.n_embd);
+    fprintf(stderr, "n_ff:          %u\n", model4.n_ff);
+    fprintf(stderr, "n_vocab:       %u\n", model4.n_vocab);
+    fprintf(stderr, "n_layer:       %u\n", model4.n_layer);
+    fprintf(stderr, "n_head:        %u\n", model4.n_head);
+    fprintf(stderr, "n_head_kv:     %u\n", model4.n_head_kv);
+    fprintf(stderr, "n_expert:      %u\n", model4.n_expert);
+    fprintf(stderr, "n_embd_head_k: %u\n", model4.n_embd_head_k);
+    fprintf(stderr, "n_embd_head_v: %u\n", model4.n_embd_head_v);
+    fprintf(stderr, "tensors:       %zu\n", model4.tensors.size());
+
+    TEST_ASSERT(model4.architecture == "step35", "expected architecture 'step35'");
+
+    TEST_ASSERT(model4.n_layer == 45, "expected n_layer == 45");
+    TEST_ASSERT(model4.n_embd == 4096, "expected n_embd == 4096");
+    TEST_ASSERT(model4.n_ff == 11264, "expected n_ff == 11264");
+    TEST_ASSERT(model4.n_head == 64, "expected n_head == 64 (first element of per-layer array)");
+    TEST_ASSERT(model4.n_head_kv == 8, "expected n_head_kv == 8 (first element of per-layer array)");
+    TEST_ASSERT(model4.n_expert == 288, "expected n_expert == 288");
+    TEST_ASSERT(model4.n_embd_head_k == 128, "expected n_embd_head_k == 128");
+    TEST_ASSERT(model4.n_embd_head_v == 128, "expected n_embd_head_v == 128");
+    TEST_ASSERT(model4.n_vocab == 128896, "expected n_vocab == 128896");
+    TEST_ASSERT(model4.tensors.size() == 754, "expected tensor count == 754");
+
     fprintf(stderr, "=== ALL TESTS PASSED ===\n");
     return 0;
 }
diff --git a/tests/test-gguf.cpp b/tests/test-gguf.cpp
index 8ebd16ba8225ac807398f65a51d4c81d66a10388..ed3070dc4de12f1817bd0588713a207db5c0075b 100644
--- a/tests/test-gguf.cpp
+++ b/tests/test-gguf.cpp
@@ -742,7 +742,7 @@ static std::pair<int, int> test_handcrafted_file(const unsigned int seed) {
             /*ctx      =*/ hft >= offset_has_data ? &ctx : nullptr,
         };
 
-        struct gguf_context * gguf_ctx = gguf_init_from_file_impl(file, gguf_params);
+        struct gguf_context * gguf_ctx = gguf_init_from_file_ptr(file, gguf_params);
 
         if (expect_context_not_null(hft)) {
             printf("%s:   - context_not_null: ", __func__);
@@ -1125,19 +1125,15 @@ static std::pair<int, int> test_roundtrip(ggml_backend_dev_t dev, const unsigned
     GGML_ASSERT(file);
 #endif // _WIN32
 
-    {
-        std::vector<int8_t> buf;
-        gguf_write_to_buf(gguf_ctx_0, buf, only_meta);
-        GGML_ASSERT(fwrite(buf.data(), 1, buf.size(), file) == buf.size());
-        rewind(file);
-    }
+    gguf_write_to_file_ptr(gguf_ctx_0, file, only_meta);
+    rewind(file);
 
     struct ggml_context * ctx_1 = nullptr;
     struct gguf_init_params gguf_params = {
         /*no_alloc =*/ false,
         /*ctx      =*/ only_meta ? nullptr : &ctx_1,
     };
-    struct gguf_context * gguf_ctx_1 = gguf_init_from_file_impl(file, gguf_params);
+    struct gguf_context * gguf_ctx_1 = gguf_init_from_file_ptr(file, gguf_params);
 
     printf("%s: same_version: ", __func__);
     if (gguf_get_version(gguf_ctx_0) == gguf_get_version(gguf_ctx_1)) {
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 526470a224f023cfade47ed074c48155a7b0a8f9..4d5d13dd0d38d6cb5c561b8eca1eced871678d24 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -788,6 +788,24 @@ static void test_quantifiers() {
             "0xFF 0x12 0xAB 0x00 0x00 0x00",
         }
     );
+    test_grammar(
+        "segfault",
+        // Grammar
+        R"""(
+            root ::= ( [x]* )*
+        )""",
+        // Passing strings
+        {
+            "",
+            "x",
+            "xx"
+        },
+        // Failing strings
+        {
+            "y",
+            "yy"
+        }
+    );
 }
 
 static void test_failure_missing_root() {
diff --git a/tests/test-grammar-parser.cpp b/tests/test-grammar-parser.cpp
index 03ae78ff7396335d1e849d6496a35cc674efc316..6abc43461be3c91ca52ce5d57a73c0812da2fb12 100644
--- a/tests/test-grammar-parser.cpp
+++ b/tests/test-grammar-parser.cpp
@@ -145,6 +145,10 @@ int main()
         root ::= "a"{,}"
     )""");
 
+    verify_failure(R"""(
+        root ::= (((((([^x]*){0,99}){0,99}){0,99}){0,99}){0,99}){0,99}
+    )""");
+
     verify_failure(R"""(
         root ::= "a"{,10}"
     )""");
diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp
index ef9c8f73c8b99fa7762753b501d185c9f33fde78..b5ee53461e8df78c6a6a6fc13ac48c0354edc04a 100644
--- a/tests/test-jinja.cpp
+++ b/tests/test-jinja.cpp
@@ -387,6 +387,24 @@ static void test_expressions(testing & t) {
         "Bob"
     );
 
+    test_template(t, "empty computed member defaults to undefined",
+        "{{ a[]|default('fallback') }}",
+        {{"a", {{"name", "Bob"}}}},
+        "fallback"
+    );
+
+    test_template(t, "empty computed member is undefined",
+        "{{ a[] is undefined }}",
+        {{"a", {{"name", "Bob"}}}},
+        "True"
+    );
+
+    test_template(t, "undefined computed member is undefined",
+        "{{ a[undefined] is undefined }}",
+        {{"a", {{"name", "Bob"}}}},
+        "True"
+    );
+
     test_template(t, "array access",
         "{{ items[1] }}",
         {{"items", json::array({"a", "b", "c"})}},
@@ -429,6 +447,18 @@ static void test_expressions(testing & t) {
         "hello world"
     );
 
+    test_template(t, "string repetition",
+        "{{ 'ab' * 3 }}",
+        json::object(),
+        "ababab"
+    );
+
+    test_template(t, "reversed string repetition",
+        "{{ 3 * 'ab' }}",
+        json::object(),
+        "ababab"
+    );
+
     test_template(t, "ternary",
         "{{ 'yes' if cond else 'no' }}",
         {{"cond", true}},
@@ -505,6 +535,18 @@ static void test_filters(testing & t) {
         "hello"
     );
 
+    test_template(t, "upper array",
+        "{{ items|upper }}",
+        {{"items", json::array({"hello", "world"})}},
+        "['HELLO', 'WORLD']"
+    );
+
+    test_template(t, "upper dict",
+        "{{ items|upper }}",
+        {{"items", {{"hello", "world"}}}},
+        "{'HELLO': 'WORLD'}"
+    );
+
     test_template(t, "capitalize",
         "{{ 'heLlo World'|capitalize }}",
         json::object(),
@@ -663,6 +705,33 @@ static void test_filters(testing & t) {
         "\"\\u2713\""
     );
 
+    test_template(t, "tojson ensure_ascii=true nested object",
+        "{{ data|tojson(ensure_ascii=true) }}",
+        {{"data", {
+            {"text", "\u2713"},
+            {"items", json::array({"é", {{"snowman", "☃"}}})}
+        }}},
+        "{\"text\": \"\\u2713\", \"items\": [\"\\u00e9\", {\"snowman\": \"\\u2603\"}]}"
+    );
+
+    test_template(t, "tojson ensure_ascii=true indent=2",
+        "{{ data|tojson(ensure_ascii=true, indent=2) }}",
+        {{"data", {
+            {"text", "\u2713"},
+            {"nested", {{"accent", "é"}}}
+        }}},
+        "{\n  \"text\": \"\\u2713\",\n  \"nested\": {\n    \"accent\": \"\\u00e9\"\n  }\n}"
+    );
+
+    test_template(t, "tojson ensure_ascii=true preserves existing escapes",
+        "{{ data|tojson(ensure_ascii=true) }}",
+        {{"data", {
+            {"emoji", "😀"},
+            {"line", "a\nb"}
+        }}},
+        "{\"emoji\": \"\\ud83d\\ude00\", \"line\": \"a\\nb\"}"
+    );
+
     test_template(t, "tojson sort_keys=true",
         "{{ data|tojson(sort_keys=true) }}",
         {{"data", {{"b", 2}, {"a", 1}}}},
@@ -741,6 +810,12 @@ static void test_filters(testing & t) {
         "hello"
     );
 
+    test_template(t, "int filter on integer is identity",
+        "{{ value|int }}",
+        {{"value", 7}},
+        "7"
+    );
+
     test_template(t, "none to string",
         "{{ x|string }}",
         {{"x", nullptr}},
@@ -884,6 +959,24 @@ static void test_macros(testing & t) {
         json::object(),
         "Hi Guest"
     );
+
+    test_template(t, "macro kwargs input",
+        "{% macro my_func(a, b=False) %}{% if b %}{{ a }}{% else %}nope{% endif %}{% endmacro %}{{ my_func(1, b=True) }}",
+        json::object(),
+        "1"
+    );
+
+    test_template(t, "macro with multiple args",
+        "{% macro add(a, b, c=0) %}{{ a + b + c }}{% endmacro %}{{ add(1, 2) }},{{ add(1, 2, 3) }},{{ add(1, b=10) }},{{ add(1, 2, c=5) }}",
+        json::object(),
+        "3,6,11,8"
+    );
+
+    test_template(t, "macro with kwarg out-of-order input",
+        "{% macro greet(first, last, greeting='Hello') %}{{ greeting }}, {{ first }} {{ last }}{% endmacro %}{{ greet(last='Smith', first='John') }},{{ greet(last='Doe', greeting='Hi', first='Jane') }}",
+        json::object(),
+        "Hello, John Smith,Hi, Jane Doe"
+    );
 }
 
 static void test_namespace(testing & t) {
@@ -2264,6 +2357,7 @@ static void test_fuzzing(testing & t) {
 
     t.test("malformed templates (should error, not crash)", [&](testing & t) {
         const std::vector<std::string> malformed = {
+            "",
             "{{ x",
             "{% if %}",
             "{% for %}",
@@ -2284,6 +2378,11 @@ static void test_fuzzing(testing & t) {
         for (const auto & tmpl : malformed) {
             t.assert_true("malformed: " + tmpl, fuzz_test_template(tmpl, json::object()));
         }
+        std::string tmpl = "{% for message in messages %}{{ message.role | string }} : {{ message.content if ('content' in message and message.content is not none) }}{% endfor %";
+        while (tmpl.length() > 0) {
+            t.assert_true("malformed: " + tmpl, fuzz_test_template(tmpl, json::object()));
+            tmpl.pop_back();
+        }
     });
 
     t.test("type coercion edge cases", [&](testing & t) {
@@ -2404,4 +2503,12 @@ static void test_fuzzing(testing & t) {
             t.assert_true("builtin " + type_name + "." + fn_name + " #" + std::to_string(i), fuzz_test_template(tmpl, vars));
         }
     });
+
+    t.test("tojson ensure_ascii=true with invalid utf-8", [&](testing & t) {
+        t.assert_true("invalid utf-8 does not crash",
+            fuzz_test_template(
+                "{{ data|tojson(ensure_ascii=true) }}",
+                {{"data", std::string("hello\xfe\xffworld")}}
+            ));
+    });
 }
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index ac697c4d24682598d95747ba760e1112b78addaf..b4362852c392713e3772e98eb0404a63cab93cef 100644
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -1525,6 +1525,47 @@ int main() {
         }
     });
 
+    // C++ only tests (features not yet supported in JS/Python implementations)
+    {
+        fprintf(stderr, "#\n# Testing C++ only features\n#\n");
+        auto run = [](const TestCase & tc) {
+            fprintf(stderr, "- %s\n", tc.name.c_str());
+            try {
+                tc.verify(json_schema_to_grammar(nlohmann::ordered_json::parse(tc.schema), true));
+                tc.verify_status(SUCCESS);
+            } catch (const std::invalid_argument & ex) {
+                fprintf(stderr, "Error: %s\n", ex.what());
+                tc.verify_status(FAILURE);
+            }
+        };
+
+        run({
+            SUCCESS,
+            "regexp with non-capturing group",
+            R"""({
+                "type": "string",
+                "pattern": "^(?:foo|bar)baz$"
+            })""",
+            R"""(
+                root ::= "\"" (("foo" | "bar") "baz") "\"" space
+                space ::= | " " | "\n"{1,2} [ \t]{0,20}
+            )""",
+        });
+
+        run({
+            SUCCESS,
+            "regexp with nested non-capturing groups",
+            R"""({
+                "type": "string",
+                "pattern": "^(?:(?:ab)+c)?d$"
+            })""",
+            R"""(
+                root ::= "\"" ((("ab")+ "c")? "d") "\"" space
+                space ::= | " " | "\n"{1,2} [ \t]{0,20}
+            )""",
+        });
+    }
+
     if (getenv("LLAMA_SKIP_TESTS_SLOW_ON_EMULATOR")) {
         fprintf(stderr, "\033[33mWARNING: Skipping slow tests on emulator.\n\033[0m");
     } else {
@@ -1538,17 +1579,6 @@ int main() {
         } else {
             fprintf(stderr, "\033[33mWARNING: Python not found (min version required is 3.8), skipping Python JSON schema -> grammar tests.\n\033[0m");
         }
-
-        if (getenv("LLAMA_NODE_AVAILABLE") || (std::system("node --version") == 0)) {
-            test_all("JavaScript", [](const TestCase & tc) {
-                write("test-json-schema-input.tmp", tc.schema);
-                tc.verify_status(std::system(
-                    "node ./tests/run-json-schema-to-grammar.mjs test-json-schema-input.tmp > test-grammar-output.tmp") == 0 ? SUCCESS : FAILURE);
-                tc.verify(read("test-grammar-output.tmp"));
-            });
-        } else {
-            fprintf(stderr, "\033[33mWARNING: Node not found, skipping JavaScript JSON schema -> grammar tests.\n\033[0m");
-        }
     }
 
     test_all("Check Expectations Validity", [](const TestCase & tc) {
diff --git a/tests/test-llama-archs.cpp b/tests/test-llama-archs.cpp
index d51c09e99f52db154018664a397025d9cce7ca45..16af11a28623a2c68fc9059874879236de8a4300 100644
--- a/tests/test-llama-archs.cpp
+++ b/tests/test-llama-archs.cpp
@@ -6,6 +6,8 @@
 #include "ggml-cpp.h"
 #include "llama.h"
 #include "llama-cpp.h"
+
+// TODO: replace with #include "llama-ext.h" in the future
 #include "../src/llama-arch.h"
 #include "../src/llama-model-saver.h"
 
@@ -86,10 +88,16 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     uint32_t n_layer = 2;
     if (arch == LLM_ARCH_LLAMA4) {
         n_layer = 4; // hparams.n_no_rope_layer_step is hard-coded to 4
+    } else if (arch == LLM_ARCH_GEMMA4) {
+        n_embd = 128;
+        n_head = 2;
+        n_ff   = 192;
+        n_layer = 5; // need at least 5 for swa_pattern (every 5th is full_attention)
     } else if (arch == LLM_ARCH_GEMMA3N) {
         n_embd = 64;
         n_head = 1;
         n_ff   = 96;
+        n_layer = 22; // hparams.n_layer_kv_from_start = 20 is hardcoded
     } else if (arch == LLM_ARCH_DEEPSEEK2
             || arch == LLM_ARCH_GLM_DSA
             || arch == LLM_ARCH_KIMI_LINEAR
@@ -101,8 +109,6 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
         n_layer = 3;
     } else if (arch == LLM_ARCH_CHAMELEON) {
         n_vocab = 10240;
-    } else if (arch == LLM_ARCH_GEMMA3N) {
-        n_layer = 22; // hparams.n_layer_kv_from_start = 20 is hardcoded
     }
 
     const uint32_t n_embd_head = n_embd / n_head;
@@ -168,7 +174,15 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     ms.add_kv(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, uint32_t(8));
     ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW,         n_ctx/8);
 
-    if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) {
+    if (arch == LLM_ARCH_GEMMA4) {
+        ms.add_kv(LLM_KV_EMBEDDING_LENGTH_PER_LAYER,      n_embd/2);
+        ms.add_kv(LLM_KV_ATTENTION_SHARED_KV_LAYERS,      uint32_t(0));
+        ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH_SWA,        n_embd_head);
+        ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,      n_embd_head);
+        ms.add_kv(LLM_KV_ROPE_FREQ_BASE_SWA,              10000.0f);
+        // SWA pattern: every 5th layer is full attention (matches E2B layer_types)
+        ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, uint32_t(5));
+    } else if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) {
         std::vector<uint32_t> pattern;
         pattern.reserve(n_layer);
         for (uint32_t il = 0; il < n_layer; il++) {
@@ -206,9 +220,9 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     ms.add_kv(LLM_KV_XIELU_ALPHA_P,             1.0f);
     ms.add_kv(LLM_KV_XIELU_BETA,                1.0f);
     ms.add_kv(LLM_KV_XIELU_EPS,                 1.0e-7f);
-    ms.add_kv(LLM_KV_SSM_INNER_SIZE,            arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 64 : 2*n_embd);
+    ms.add_kv(LLM_KV_SSM_INNER_SIZE,            arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 256 : 2*n_embd);
     ms.add_kv(LLM_KV_SSM_CONV_KERNEL,           uint32_t(4));
-    ms.add_kv(LLM_KV_SSM_STATE_SIZE,            uint32_t(32));
+    ms.add_kv(LLM_KV_SSM_STATE_SIZE,            uint32_t(128));
     ms.add_kv(LLM_KV_SSM_TIME_STEP_RANK,        n_head);
     ms.add_kv(LLM_KV_SSM_GROUP_COUNT,           arch == LLM_ARCH_PLAMO2 ? 0 : uint32_t(2));
     ms.add_kv(LLM_KV_KDA_HEAD_DIM,              uint32_t(128));
@@ -231,20 +245,33 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     return ret;
 }
 
+static bool silent_model_load_progress(float /*progress*/, void * /*user_data*/) {
+    return true;
+}
+
 static std::pair<llama_model_ptr, llama_context_ptr> get_model_and_ctx(
-        struct gguf_context * gguf_ctx, const size_t seed, const std::vector<ggml_backend_dev_t> & devs) {
+        struct gguf_context * gguf_ctx, FILE * file, const size_t seed, const std::vector<ggml_backend_dev_t> & devs,
+        const llama_split_mode split_mode = LLAMA_SPLIT_MODE_LAYER, bool encode = false) {
+    GGML_ASSERT((gguf_ctx == nullptr) != (file == nullptr));
     llama_model_params model_params = llama_model_default_params();
+    model_params.progress_callback = silent_model_load_progress;
     std::vector<ggml_backend_dev_t> devs_copy = devs;
     devs_copy.push_back(nullptr);
     model_params.devices = devs_copy.data();
+    model_params.split_mode = split_mode;
 
     llama_context_params ctx_params = llama_context_default_params();
     ctx_params.n_ctx = 0;
     ctx_params.n_threads = 4;
     ctx_params.n_threads_batch = 4;
+    if (!encode) {
+        ctx_params.n_ubatch = 64;
+    }
 
     size_t tmp = seed;
-    llama_model_ptr model(llama_model_init_from_user(gguf_ctx, set_tensor_data, &tmp, model_params));
+    llama_model_ptr model(gguf_ctx != nullptr ?
+        llama_model_init_from_user(gguf_ctx, set_tensor_data, &tmp, model_params) :
+        llama_model_load_from_file_ptr(file, model_params));
     if (!model) {
         throw std::runtime_error("failed to create llama model");
     }
@@ -350,8 +377,47 @@ static bool moe_implemented(const llm_arch arch) {
     }
 }
 
+static bool arch_supported(const llm_arch arch) {
+    if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
+        return false; // These models don't have usable implementations.
+    }
+    if (arch == LLM_ARCH_CHAMELEON) {
+        return false; // Only half-implemented and to be removed in the future.
+    }
+    if (arch == LLM_ARCH_WAVTOKENIZER_DEC) {
+        return false; // FIXME CUDA backend crashes.
+    }
+    if (arch == LLM_ARCH_GEMMA4) {
+        return false; // FIXME @ngxson
+    }
+    if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) {
+        return false; // FIXME Embedding (?) models produce inconsistent results.
+    }
+    if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) {
+        return false; // FIXME RWKV models hang indefinitely.
+    }
+    if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE ||
+            arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) {
+        return false; // TODO vocab
+    }
+    if (arch == LLM_ARCH_PLM) {
+        return false; // TODO tensor shapes
+    }
+    if (arch == LLM_ARCH_DEEPSEEK2OCR) {
+        return false;
+    }
+
+    // FIXME some models are segfaulting with WebGPU:
+#ifdef GGML_USE_WEBGPU
+    if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) {
+        return false;
+    }
+#endif // GGML_USE_WEBGPU
+
+    return true;
+}
+
 static int save_models(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level, const std::string & dir) {
-    GGML_ABORT("llama_model_save_to_file is broken");
     struct user_data_t {
         struct {
             ggml_log_callback callback;
@@ -370,11 +436,14 @@ static int save_models(const llm_arch target_arch, const size_t seed, const ggml
     }, &ud);
 
     for (const llm_arch & arch : llm_arch_all()) {
+        if (arch == LLM_ARCH_UNKNOWN) {
+            continue;
+        }
         if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
             continue;
         }
-        if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
-            continue; // These models don't have usable implementations.
+        if (arch == LLM_ARCH_GEMMA4) {
+            continue; // FIXME: ISWA KV cache initialization needs more fixture params
         }
         for (bool moe : {false, true}) {
             if (moe && !moe_implemented(arch)) {
@@ -383,8 +452,12 @@ static int save_models(const llm_arch target_arch, const size_t seed, const ggml
             if (!moe && moe_mandatory(arch)) {
                 continue;
             }
+            if (!llama_model_saver_supports_arch(arch)) {
+                LOG_INF("%s: %s model (%s) is unsupported, skipping\n", __func__, llm_arch_name(arch), moe ? "MoE" : "dense");
+                continue;
+            }
             gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe);
-            auto model_and_ctx = get_model_and_ctx(gguf_ctx.get(), seed, {});
+            auto model_and_ctx = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, {});
             const std::string path = dir + "/" + llm_arch_name(arch) + (moe ? "-moe.gguf" : "-dense.gguf");
             LOG_INF("%s: Saving %s model (%s) to %s...\n", __func__, llm_arch_name(arch), moe ? "MoE" : "dense", path.c_str());
             llama_model_save_to_file(model_and_ctx.first.get(), path.c_str());
@@ -414,42 +487,50 @@ static int test_backends(const llm_arch target_arch, const size_t seed, const gg
 
     const std::vector<llama_token> tokens = get_tokens(128, 128, seed);
 
+    struct device_config {
+        std::vector<ggml_backend_dev_t> devs;
+        std::string                     label;
+        llama_split_mode                split_mode;
+
+        device_config(std::vector<ggml_backend_dev_t> devs, std::string name, llama_split_mode split_mode)
+            : devs(std::move(devs)), label(std::move(name)), split_mode(split_mode) {}
+    };
+
+    std::vector<device_config> dev_configs;
+    {
+        std::vector<ggml_backend_dev_t> devices_meta;
+        {
+            const size_t device_count = ggml_backend_dev_count();
+            for (size_t i = 0; i < device_count; i++) {
+                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
+                dev_configs.emplace_back(std::vector<ggml_backend_dev_t>{dev}, ggml_backend_dev_description(dev), LLAMA_SPLIT_MODE_LAYER);
+
+                // cpu-based devices cannot be used in tensor split mode
+                if (ggml_backend_dev_buffer_type(dev) != ggml_backend_cpu_buffer_type()) {
+                    devices_meta.push_back(dev);
+                }
+            }
+        }
+
+        dev_configs.emplace_back(devices_meta, "Meta", LLAMA_SPLIT_MODE_TENSOR);
+    }
+
     bool all_ok = true;
     common_log_flush(common_log_main());
-    printf("|%15s|%30s|%6s|%8s|%6s|\n", "Model arch.", "Device", "Config", "NMSE", "Status");
-    printf("|---------------|------------------------------|------|--------|------|\n");
+    printf("|%16s|%30s|%6s|%15s|%9s|\n", "Model arch.", "Device", "Config", "NMSE vs. CPU", "Roundtrip");
+    printf("|----------------|------------------------------|------|---------------|---------|\n");
     for (const llm_arch & arch : llm_arch_all()) {
-        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+        if (arch == LLM_ARCH_UNKNOWN) {
             continue;
         }
-        if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
-            continue; // These models don't have usable implementations.
-        }
-        if (arch == LLM_ARCH_WAVTOKENIZER_DEC) {
-            continue; // FIXME CUDA backend crashes.
-        }
-        if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) {
-            continue; // FIXME Embedding (?) models produce inconsistent results.
-        }
-        if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) {
-            continue; // FIXME RWKV models hang indefinitely.
-        }
-        if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE ||
-                arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) {
-            continue; // TODO vocab
-        }
-        if (arch == LLM_ARCH_PLM) {
-            continue; // TODO tensor shapes
-        }
-
-        // FIXME some models are segfaulting with WebGPU:
-#ifdef GGML_USE_WEBGPU
-        if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) {
+        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
             continue;
         }
-#endif // GGML_USE_WEBGPU
+        if (arch == LLM_ARCH_GEMMA4) {
+            continue; // FIXME: ISWA KV cache initialization needs more fixture params
+        }
 
-        const bool encode = arch == LLM_ARCH_T5;
+        const bool encode = arch == LLM_ARCH_T5 || arch == LLM_ARCH_DREAM || arch == LLM_ARCH_LLADA || arch == LLM_ARCH_LLADA_MOE || arch == LLM_ARCH_RND1;
         for (bool moe : {false, true}) {
             if (moe && !moe_implemented(arch)) {
                 continue;
@@ -457,23 +538,65 @@ static int test_backends(const llm_arch target_arch, const size_t seed, const gg
             if (!moe && moe_mandatory(arch)) {
                 continue;
             }
+            const std::string config_name = moe ? "MoE" : "Dense";
             gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe);
-            auto model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), seed, {});
-            const std::vector<float> logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode);
-            for (size_t i = 0; i < ggml_backend_dev_count(); i++) {
-                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
-                if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) {
-                    continue;
+            std::pair<llama_model_ptr, llama_context_ptr> model_and_ctx_cpu;
+            std::vector<float> logits_cpu;
+            for (device_config & dc : dev_configs) {
+                std::pair<llama_model_ptr, llama_context_ptr> model_and_ctx_dev;
+                std::vector<float> logits_dev;
+                std::string status_nmse      = "\033[1;33mSKIP\033[0m";
+                std::string status_roundtrip = "\033[1;33mSKIP\033[0m";
+                char nmse_str[12] = {0};
+                bool skip = !arch_supported(arch) || (dc.split_mode == LLAMA_SPLIT_MODE_TENSOR && dc.devs.empty());
+#if defined(GGML_USE_WEBGPU)
+                skip = true; // FIXME
+#endif // GGML_USE_WEBGPU
+                if (!skip) {
+                    if (logits_cpu.empty()) {
+                        model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, {}, LLAMA_SPLIT_MODE_LAYER, encode);
+                        logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode);
+                    }
+                    if (dc.split_mode != LLAMA_SPLIT_MODE_TENSOR || llm_arch_supports_sm_tensor(arch)) {
+                        model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, dc.devs, dc.split_mode, encode);
+                        logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode);
+                        const double nmse_val = nmse(logits_cpu, logits_dev);
+                        snprintf(nmse_str, sizeof(nmse_str), "(%.2e)", nmse_val);
+                        status_nmse = "\033[1;32mOK\033[0m";
+                        if (nmse_val > 1e-4) {
+                            all_ok = false;
+                            status_nmse = "\033[1;31mFAIL\033[0m";
+                        }
+                    }
+
+                    FILE * file = tmpfile(); // Can be null on Windows without administrator privileges.
+                    // FIXME: when adding a tensor to a gguf_context a copy is made, this changes the pointer which the meta backend
+                    //     in turn uses to map the tensors to their simple equivalents - this is fundamentally incompatible
+                    if (file != nullptr && llama_model_saver_supports_arch(arch) && dc.split_mode != LLAMA_SPLIT_MODE_TENSOR) {
+                        GGML_ASSERT(model_and_ctx_dev.first && model_and_ctx_dev.second);
+                        llama_model_saver ms = llama_model_saver(model_and_ctx_dev.first.get());
+                        ms.add_kv_from_model();
+                        ms.add_tensors_from_model();
+                        ms.save(file);
+                        rewind(file);
+
+                        auto model_and_ctx_roundtrip = get_model_and_ctx(nullptr, file, seed, dc.devs, dc.split_mode, encode);
+                        const std::vector<float> logits_roundtrip = get_logits(
+                            model_and_ctx_roundtrip.first.get(), model_and_ctx_roundtrip.second.get(), tokens, encode);
+                        status_roundtrip = "\033[1;32mOK\033[0m";
+                        GGML_ASSERT(logits_roundtrip.size() == logits_dev.size());
+                        for (size_t i = 0; i < logits_roundtrip.size(); i++) {
+                            if (logits_roundtrip[i] != logits_dev[i]) {
+                                all_ok = false;
+                                status_roundtrip = "\033[1;31mFAIL\033[0m";
+                                break;
+                            }
+                        }
+                    }
                 }
-                auto model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), seed, {dev});
-                const std::vector<float> logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode);
-                const double nmse_val = nmse(logits_cpu, logits_dev);
-                const bool ok = nmse_val <= 1e-4;
-                all_ok = all_ok && ok;
-                char nmse_str[10];
-                snprintf(nmse_str, sizeof(nmse_str), "%.2e", nmse_val);
-                printf("|%15s|%30s|%6s|%8s|%17s|\n", llm_arch_name(arch), ggml_backend_dev_description(dev),
-                    moe ? "MoE" : "Dense", nmse_str, ok ? "\033[1;32mOK\033[0m" : "\033[1;31mFAIL\033[0m");
+
+                printf("|%16s|%30s|%6s|%15s %10s|%20s|\n", llm_arch_name(arch), dc.label.c_str(),
+                    config_name.c_str(), status_nmse.c_str(), nmse_str, status_roundtrip.c_str());
             }
         }
     }
@@ -526,6 +649,7 @@ int main(int argc, char ** argv) {
             }
         }
     }
+    printf("%s: using seed %zu\n", __func__, seed);
 
     try {
         if (!out.empty()) {
diff --git a/tests/test-llama-grammar.cpp b/tests/test-llama-grammar.cpp
index fd45d5ada83271e41623dfa1e216382046590e7b..25f432a2f5061c1d172667a9cbafbce640967530 100644
--- a/tests/test-llama-grammar.cpp
+++ b/tests/test-llama-grammar.cpp
@@ -123,52 +123,52 @@ int main()
 
     std::vector<std::vector<llama_grammar_element>> expected_stacks = {
         {
-            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
-            {LLAMA_GRETYPE_CHAR, 97},
+            {LLAMA_GRETYPE_CHAR, 40},
         },
         {
-            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
             {LLAMA_GRETYPE_RULE_REF, 3},
             {LLAMA_GRETYPE_CHAR, 48},
         },
         {
-            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
             {LLAMA_GRETYPE_RULE_REF, 3},
             {LLAMA_GRETYPE_CHAR, 48},
         },
         {
-            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
-            {LLAMA_GRETYPE_CHAR, 40},
+            {LLAMA_GRETYPE_CHAR, 97},
         },
         {
+            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
-            {LLAMA_GRETYPE_CHAR, 97},
+            {LLAMA_GRETYPE_CHAR, 40},
         },
         {
+            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
             {LLAMA_GRETYPE_RULE_REF, 3},
             {LLAMA_GRETYPE_CHAR, 48},
         },
         {
+            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
             {LLAMA_GRETYPE_RULE_REF, 3},
             {LLAMA_GRETYPE_CHAR, 48},
         },
         {
+            {LLAMA_GRETYPE_RULE_REF, 5},
             {LLAMA_GRETYPE_CHAR, 61},
             {LLAMA_GRETYPE_RULE_REF, 7},
-            {LLAMA_GRETYPE_CHAR, 40},
+            {LLAMA_GRETYPE_CHAR, 97},
         }};
 
     auto index = 0;
@@ -195,9 +195,9 @@ int main()
     }
 
     std::vector<llama_grammar_candidate> next_candidates;
-    next_candidates.resize(24);
+    next_candidates.resize(23);
 
-    for (size_t i = 0; i < 24; ++i)
+    for (size_t i = 0; i < 23; ++i)
     {
         uint32_t *cp = new uint32_t[2]; // dynamically allocate memory for code_point
         cp[0] = 37 + i;
@@ -210,7 +210,6 @@ int main()
             {0, 37},
             {1, 38},
             {2, 39},
-            {3, 40},
             {4, 41},
             {5, 42},
             {6, 43},
@@ -268,6 +267,7 @@ int main()
             {0, 37},
             {1, 38},
             {2, 39},
+            {3, 40},
             {4, 41},
             {5, 42},
             {6, 43},
@@ -287,13 +287,11 @@ int main()
             {20, 57},
             {21, 58},
             {22, 59},
-            {23, 60},
         },
         {
             {0, 37},
             {1, 38},
             {2, 39},
-            {3, 40},
             {4, 41},
             {5, 42},
             {6, 43},
@@ -351,6 +349,7 @@ int main()
             {0, 37},
             {1, 38},
             {2, 39},
+            {3, 40},
             {4, 41},
             {5, 42},
             {6, 43},
@@ -370,7 +369,6 @@ int main()
             {20, 57},
             {21, 58},
             {22, 59},
-            {23, 60},
         },
     };
 
diff --git a/tests/test-mtmd-c-api.c b/tests/test-mtmd-c-api.c
index 02e762e6a2d3e5aecb1678a55080fa64ff2afd9f..b49498c87c1e7034ba310c5bf5830f72ab42817a 100644
--- a/tests/test-mtmd-c-api.c
+++ b/tests/test-mtmd-c-api.c
@@ -41,8 +41,10 @@ int main(void) {
         } else if (type == MTMD_INPUT_CHUNK_TYPE_IMAGE) {
             const mtmd_image_tokens * image_tokens = mtmd_input_chunk_get_tokens_image(chunk);
             size_t n_tokens = mtmd_image_tokens_get_n_tokens(image_tokens);
-            size_t nx = mtmd_image_tokens_get_nx(image_tokens);
-            size_t ny = mtmd_image_tokens_get_ny(image_tokens);
+            // get position of the last token, which should be (nx - 1, ny - 1)
+            struct mtmd_decoder_pos pos = mtmd_image_tokens_get_decoder_pos(image_tokens, 0, n_tokens - 1);
+            size_t nx = pos.x + 1;
+            size_t ny = pos.y + 1;
             const char * id = mtmd_image_tokens_get_id(image_tokens);
             assert(n_tokens > 0);
             assert(nx > 0);
diff --git a/tests/test-quant-type-selection.cpp b/tests/test-quant-type-selection.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..3c8983360e26cedb0388b8591856f771dd56952f
--- /dev/null
+++ b/tests/test-quant-type-selection.cpp
@@ -0,0 +1,520 @@
+#include "../src/llama-ext.h"
+#include "ggml-cpp.h"
+#include "gguf-model-data.h"
+#include "llama.h"
+
+#include <algorithm>
+#include <cstdio>
+#include <cstring>
+#include <fstream>
+#include <map>
+#include <sstream>
+#include <string>
+#include <utility>
+#include <vector>
+
+// ---------------------------------------------------------------------------
+// ftype name <-> enum mapping
+// ---------------------------------------------------------------------------
+
+struct ftype_name_entry {
+    const char * name;
+    llama_ftype  ftype;
+};
+
+static const ftype_name_entry ftype_name_table[] = {
+    { "F32",       LLAMA_FTYPE_ALL_F32          },
+    { "F16",       LLAMA_FTYPE_MOSTLY_F16       },
+    { "BF16",      LLAMA_FTYPE_MOSTLY_BF16      },
+    { "Q4_0",      LLAMA_FTYPE_MOSTLY_Q4_0      },
+    { "Q4_1",      LLAMA_FTYPE_MOSTLY_Q4_1      },
+    { "Q5_0",      LLAMA_FTYPE_MOSTLY_Q5_0      },
+    { "Q5_1",      LLAMA_FTYPE_MOSTLY_Q5_1      },
+    { "Q8_0",      LLAMA_FTYPE_MOSTLY_Q8_0      },
+    { "Q2_K",      LLAMA_FTYPE_MOSTLY_Q2_K      },
+    { "Q2_K_S",    LLAMA_FTYPE_MOSTLY_Q2_K_S    },
+    { "Q3_K_S",    LLAMA_FTYPE_MOSTLY_Q3_K_S    },
+    { "Q3_K_M",    LLAMA_FTYPE_MOSTLY_Q3_K_M    },
+    { "Q3_K_L",    LLAMA_FTYPE_MOSTLY_Q3_K_L    },
+    { "Q4_K_S",    LLAMA_FTYPE_MOSTLY_Q4_K_S    },
+    { "Q4_K_M",    LLAMA_FTYPE_MOSTLY_Q4_K_M    },
+    { "Q5_K_S",    LLAMA_FTYPE_MOSTLY_Q5_K_S    },
+    { "Q5_K_M",    LLAMA_FTYPE_MOSTLY_Q5_K_M    },
+    { "Q6_K",      LLAMA_FTYPE_MOSTLY_Q6_K      },
+    { "IQ1_S",     LLAMA_FTYPE_MOSTLY_IQ1_S     },
+    { "IQ1_M",     LLAMA_FTYPE_MOSTLY_IQ1_M     },
+    { "IQ2_XXS",   LLAMA_FTYPE_MOSTLY_IQ2_XXS   },
+    { "IQ2_XS",    LLAMA_FTYPE_MOSTLY_IQ2_XS    },
+    { "IQ2_S",     LLAMA_FTYPE_MOSTLY_IQ2_S     },
+    { "IQ2_M",     LLAMA_FTYPE_MOSTLY_IQ2_M     },
+    { "IQ3_XXS",   LLAMA_FTYPE_MOSTLY_IQ3_XXS   },
+    { "IQ3_XS",    LLAMA_FTYPE_MOSTLY_IQ3_XS    },
+    { "IQ3_S",     LLAMA_FTYPE_MOSTLY_IQ3_S     },
+    { "IQ3_M",     LLAMA_FTYPE_MOSTLY_IQ3_M     },
+    { "IQ4_NL",    LLAMA_FTYPE_MOSTLY_IQ4_NL    },
+    { "IQ4_XS",    LLAMA_FTYPE_MOSTLY_IQ4_XS    },
+    { "TQ1_0",     LLAMA_FTYPE_MOSTLY_TQ1_0     },
+    { "TQ2_0",     LLAMA_FTYPE_MOSTLY_TQ2_0     },
+    { "MXFP4_MOE", LLAMA_FTYPE_MOSTLY_MXFP4_MOE },
+    { "NVFP4",     LLAMA_FTYPE_MOSTLY_NVFP4     },
+};
+
+static llama_ftype llama_ftype_from_name(const char * name) {
+    for (const auto & e : ftype_name_table) {
+        if (strcmp(name, e.name) == 0) {
+            return e.ftype;
+        }
+    }
+    return (llama_ftype) -1;
+}
+
+static const char * llama_ftype_to_name(llama_ftype ftype) {
+    for (const auto & e : ftype_name_table) {
+        if (e.ftype == ftype) {
+            return e.name;
+        }
+    }
+    return nullptr;
+}
+
+// ---------------------------------------------------------------------------
+// ggml_type name lookup
+// ---------------------------------------------------------------------------
+
+static ggml_type ggml_type_from_name(const std::string & name) {
+    for (int i = 0; i < GGML_TYPE_COUNT; i++) {
+        const char * tname = ggml_type_name((ggml_type) i);
+        if (tname && name == tname) {
+            return (ggml_type) i;
+        }
+    }
+    return GGML_TYPE_COUNT;
+}
+
+// ---------------------------------------------------------------------------
+// File parser for snapshot files (quant type schemas)
+// ---------------------------------------------------------------------------
+
+struct snapshot_section {
+    llama_ftype                                    ftype;
+    ggml_type                                      default_type;
+    std::vector<std::pair<std::string, ggml_type>> overrides;
+};
+
+// This function is pretty ugly, but it's a trade-off of readable snapshot files
+// versus readable parsing code
+static bool parse_snapshot_file(const std::string & path, std::vector<snapshot_section> & sections) {
+    std::ifstream f(path);
+    if (!f.good()) {
+        return false;
+    }
+
+    snapshot_section * cur = nullptr;
+    std::string        line;
+
+    while (std::getline(f, line)) {
+        if (line.empty() || line[0] == '#') {
+            continue;
+        }
+
+        // section header: [FTYPE_NAME] default_type
+        if (line[0] == '[') {
+            auto close = line.find(']');
+            if (close == std::string::npos) {
+                fprintf(stderr, "parse error: missing ] in '%s'\n", line.c_str());
+                return false;
+            }
+            std::string ftype_str = line.substr(1, close - 1);
+            std::string default_str;
+            size_t      pos = close + 1;
+            while (pos < line.size() && line[pos] == ' ') {
+                pos++;
+            }
+            default_str = line.substr(pos);
+
+            llama_ftype ftype = llama_ftype_from_name(ftype_str.c_str());
+            if ((int) ftype < 0) {
+                fprintf(stderr, "parse error: unknown ftype '%s'\n", ftype_str.c_str());
+                return false;
+            }
+
+            ggml_type dtype = ggml_type_from_name(default_str);
+            if (dtype == GGML_TYPE_COUNT) {
+                fprintf(stderr, "parse error: unknown default type '%s'\n", default_str.c_str());
+                return false;
+            }
+
+            sections.push_back({ ftype, dtype, {} });
+            cur = &sections.back();
+            continue;
+        }
+
+        if (!cur) {
+            fprintf(stderr, "parse error: tensor line before any section: '%s'\n", line.c_str());
+            return false;
+        }
+
+        auto sp = line.rfind(' ');
+        if (sp == std::string::npos) {
+            fprintf(stderr, "parse error: no space in tensor line: '%s'\n", line.c_str());
+            return false;
+        }
+
+        std::string tname = line.substr(0, sp);
+        std::string ttype = line.substr(sp + 1);
+
+        ggml_type gt = ggml_type_from_name(ttype);
+        if (gt == GGML_TYPE_COUNT) {
+            fprintf(stderr, "parse error: unknown type '%s' for tensor '%s'\n", ttype.c_str(), tname.c_str());
+            return false;
+        }
+
+        cur->overrides.push_back({ tname, gt });
+    }
+
+    return true;
+}
+
+// ---------------------------------------------------------------------------
+// Remote model support using gguf-model-data.cpp
+// ---------------------------------------------------------------------------
+
+struct remote_model_spec {
+    const char * repo;
+    const char * quant;
+};
+
+// Get model name from repo: strip org prefix, strip -GGUF suffix,
+// and strip anything up to and including first '_' (e.g. "deepseek-ai_DeepSeek-V3.1").
+static std::string model_name_from_repo(const char * repo) {
+    std::string s(repo);
+
+    auto slash = s.find('/');
+    if (slash != std::string::npos) {
+        s = s.substr(slash + 1);
+    }
+
+    const std::string suffix = "-GGUF";
+    if (s.size() >= suffix.size() && s.compare(s.size() - suffix.size(), suffix.size(), suffix) == 0) {
+        s = s.substr(0, s.size() - suffix.size());
+    }
+
+    auto underscore = s.find('_');
+    if (underscore != std::string::npos) {
+        s = s.substr(underscore + 1);
+    }
+
+    return s;
+}
+
+static std::string snapshot_file_from_name(const std::string & name) {
+    std::string lower = name;
+    for (auto & c : lower) {
+        c = std::tolower(c);
+    }
+    return lower;
+}
+
+static const remote_model_spec model_specs[] = {
+    { "ggml-org/Qwen3-0.6B-GGUF",                   "Q8_0"   },
+    { "ggml-org/GLM-4.6V-GGUF",                     "Q8_0"   },
+    { "ggml-org/Step-3.5-Flash-GGUF",               "Q4_K"   },
+    { "ggml-org/Qwen3-Coder-Next-GGUF",             "Q8_0"   },
+    { "ggml-org/Qwen3-14B-GGUF",                    "Q8_0"   },
+    { "ggml-org/Nemotron-Nano-3-30B-A3B-GGUF",      "Q8_0"   },
+    { "ggml-org/gpt-oss-120b-GGUF",                 "mxfp4"  },
+    { "ggml-org/gemma-3-4b-it-GGUF",                "Q8_0"   },
+    { "bartowski/Meta-Llama-3.1-70B-Instruct-GGUF", "Q4_K_M" },
+    { "bartowski/deepseek-ai_DeepSeek-V3.1-GGUF",   "IQ1_M"  },
+    { "bartowski/Qwen_Qwen3.5-397B-A17B-GGUF",      "IQ1_S"  }, // TODO: swap with ggml-org if/when it's released
+    { "bartowski/Qwen_Qwen3.5-27B-GGUF",            "Q8_0"   }, // TODO: swap with ggml-org if/when it's released
+};
+
+static const int n_model_specs = (int) (sizeof(model_specs) / sizeof(model_specs[0]));
+
+static llama_model * build_mock_model_from_remote(const gguf_remote_model & remote) {
+    llama_quant_model_desc desc = {};
+    desc.architecture           = remote.architecture.c_str();
+    desc.n_embd                 = remote.n_embd;
+    desc.n_ff                   = remote.n_ff;
+    desc.n_layer                = remote.n_layer;
+    desc.n_head                 = remote.n_head;
+    desc.n_head_kv              = remote.n_head_kv;
+    desc.n_expert               = remote.n_expert;
+    desc.n_embd_head_k          = remote.n_embd_head_k;
+    desc.n_embd_head_v          = remote.n_embd_head_v;
+    return llama_quant_model_from_metadata(&desc);
+}
+
+// Single ggml context holding all quantizable tensors for a model.
+struct mock_tensors {
+    ggml_context_ptr           ctx;
+    std::vector<ggml_tensor *> tensors;
+};
+
+static mock_tensors build_mock_tensors(const quantize_state_impl * qs, const gguf_remote_model & remote) {
+    const size_t            ctx_size = remote.tensors.size() * ggml_tensor_overhead();
+    struct ggml_init_params params   = { ctx_size, nullptr, true };
+    ggml_context_ptr        ctx(ggml_init(params));
+
+    std::vector<ggml_tensor *> result;
+
+    for (const auto & t : remote.tensors) {
+        ggml_tensor * gt = ggml_new_tensor_4d(ctx.get(), GGML_TYPE_F32, t.ne[0], t.ne[1], t.ne[2], t.ne[3]);
+        ggml_set_name(gt, t.name.c_str());
+        if (llama_quant_tensor_allows_quantization(qs, gt)) {
+            result.push_back(gt);
+        }
+    }
+
+    // sort by layer index then name, matching llama_model_loader::weight_name_comparer
+    std::sort(result.begin(), result.end(), [](const ggml_tensor * a, const ggml_tensor * b) {
+        int a_layer = -1, b_layer = -1;
+        sscanf(a->name, "blk.%d.", &a_layer);
+        sscanf(b->name, "blk.%d.", &b_layer);
+        if (a_layer != b_layer) {
+            return a_layer < b_layer;
+        }
+        return strcmp(a->name, b->name) < 0;
+    });
+
+    return { std::move(ctx), std::move(result) };
+}
+
+// ---------------------------------------------------------------------------
+// Generate mode: regenerate all snapshot files
+// Use this when either adding new models or modifying quants
+// ---------------------------------------------------------------------------
+
+static std::string generate_snapshot(const std::string &       name,
+                                     const gguf_remote_model & remote,
+                                     quantize_state_impl *     qs,
+                                     mock_tensors &            mt) {
+    std::ostringstream out;
+
+    out << "# Model: " << name << "\n";
+    out << "# n_embd=" << remote.n_embd << ", n_ff=" << remote.n_ff << ", n_vocab=" << remote.n_vocab
+        << ", n_layer=" << remote.n_layer << ", n_head=" << remote.n_head << ", n_head_kv=" << remote.n_head_kv;
+    if (remote.n_expert > 0) {
+        out << ", n_expert=" << remote.n_expert;
+    }
+    out << "\n";
+
+    for (int i = 0; i < LLAMA_FTYPE_GUESSED; i++) {
+        llama_ftype ft           = (llama_ftype) i;
+        ggml_type   default_type = llama_ftype_get_default_type(ft);
+        if (default_type == GGML_TYPE_COUNT) {
+            continue;
+        }
+        const char * fname = llama_ftype_to_name(ft);
+        if (!fname) {
+            continue;
+        }
+
+        std::vector<ggml_type> result_types(mt.tensors.size());
+        llama_quant_compute_types(qs, ft, mt.tensors.data(), result_types.data(), mt.tensors.size());
+
+        out << "\n[" << fname << "] " << ggml_type_name(default_type) << "\n";
+        for (size_t j = 0; j < mt.tensors.size(); j++) {
+            if (result_types[j] != default_type) {
+                out << ggml_get_name(mt.tensors[j]) << " " << ggml_type_name(result_types[j]) << "\n";
+            }
+        }
+    }
+
+    return out.str();
+}
+
+static int run_generate(const std::string & snapshot_dir) {
+    fprintf(stderr, "This will overwrite all snapshot files in:\n  %s\n", snapshot_dir.c_str());
+    fprintf(stderr, "Continue? [y/N] ");
+    int ch = fgetc(stdin);
+    if (ch != 'y' && ch != 'Y') {
+        fprintf(stderr, "Aborted.\n");
+        return 1;
+    }
+
+    fprintf(stderr, "\n");
+
+    int n_written = 0;
+
+    for (int m = 0; m < n_model_specs; m++) {
+        const auto & spec = model_specs[m];
+        std::string  name = model_name_from_repo(spec.repo);
+
+        fprintf(stderr, "Fetching model metadata for %s from %s...\n", name.c_str(), spec.repo);
+        auto result = gguf_fetch_model_meta(spec.repo, spec.quant);
+        if (!result.has_value()) {
+            fprintf(stderr, "ERROR: could not fetch model metadata for %s\n", name.c_str());
+            return 1;
+        }
+
+        const auto &                remote  = result.value();
+        llama_model *               model   = build_mock_model_from_remote(remote);
+        llama_model_quantize_params qparams = llama_model_quantize_default_params();
+        quantize_state_impl *       qs      = llama_quant_init(model, &qparams);
+        auto                        mt      = build_mock_tensors(qs, remote);
+
+        std::string content = generate_snapshot(name, remote, qs, mt);
+        std::string path    = snapshot_dir + "/" + snapshot_file_from_name(name) + ".schema";
+
+        std::ofstream f(path);
+        if (!f.good()) {
+            fprintf(stderr, "ERROR: could not write %s\n", path.c_str());
+            llama_quant_free(qs);
+            llama_model_free(model);
+            return 1;
+        }
+        f << content;
+        n_written++;
+        fprintf(stderr, "  wrote %s\n", path.c_str());
+        llama_quant_free(qs);
+        llama_model_free(model);
+    }
+
+    fprintf(stderr, "%d files written\n", n_written);
+    return 0;
+}
+
+// ---------------------------------------------------------------------------
+// Test mode: compare against snapshot files
+// ---------------------------------------------------------------------------
+
+static bool run_test_section(quantize_state_impl * qs, mock_tensors & mt, const snapshot_section & section) {
+    // verify default_type matches what llama_ftype_get_default_type returns
+    ggml_type computed_default = llama_ftype_get_default_type(section.ftype);
+    if (computed_default != section.default_type) {
+        printf("  FAIL  [%s] default type mismatch: file says %s, code says %s\n", llama_ftype_to_name(section.ftype),
+               ggml_type_name(section.default_type), ggml_type_name(computed_default));
+        return false;
+    }
+
+    std::vector<ggml_type> result_types(mt.tensors.size());
+    llama_quant_compute_types(qs, section.ftype, mt.tensors.data(), result_types.data(), mt.tensors.size());
+
+    std::map<std::string, ggml_type> override_map(section.overrides.begin(), section.overrides.end());
+
+    bool all_pass         = true;
+    int  n_override_found = 0;
+
+    for (size_t i = 0; i < mt.tensors.size(); i++) {
+        const char * name = ggml_get_name(mt.tensors[i]);
+        ggml_type    got  = result_types[i];
+
+        ggml_type expected = section.default_type;
+        auto      it       = override_map.find(name);
+        if (it != override_map.end()) {
+            expected = it->second;
+            n_override_found++;
+        }
+
+        if (got != expected) {
+            printf("  FAIL  %-50s %-10s expected %s, got %s\n", name, llama_ftype_to_name(section.ftype),
+                   ggml_type_name(expected), ggml_type_name(got));
+            all_pass = false;
+        }
+    }
+
+    if (n_override_found != (int) section.overrides.size()) {
+        printf("  FAIL  [%s] override count mismatch: listed %d, matched %d\n", llama_ftype_to_name(section.ftype),
+               (int) section.overrides.size(), n_override_found);
+        all_pass = false;
+    }
+
+    return all_pass;
+}
+
+static int run_remote_tests(const std::string & snapshot_dir, const char * argv0) {
+    int total_pass = 0;
+    int total_fail = 0;
+    int total_skip = 0;
+
+    for (int m = 0; m < n_model_specs; m++) {
+        const auto & spec = model_specs[m];
+        std::string  name = model_name_from_repo(spec.repo);
+        printf("=== %s ===\n", name.c_str());
+
+        auto result = gguf_fetch_model_meta(spec.repo, spec.quant, "", false);
+        if (!result.has_value()) {
+            printf("  SKIP  (could not fetch model metadata)\n\n");
+            total_skip++;
+            continue;
+        }
+
+        const auto &                remote  = result.value();
+        llama_model *               model   = build_mock_model_from_remote(remote);
+        llama_model_quantize_params qparams = llama_model_quantize_default_params();
+        quantize_state_impl *       qs      = llama_quant_init(model, &qparams);
+        auto                        mt      = build_mock_tensors(qs, remote);
+
+        std::string                   snapshot_path = snapshot_dir + "/" + snapshot_file_from_name(name) + ".schema";
+        std::vector<snapshot_section> sections;
+        if (!parse_snapshot_file(snapshot_path, sections)) {
+            printf("  SKIP  (could not read snapshot file: %s)\n\n", snapshot_path.c_str());
+            llama_quant_free(qs);
+            llama_model_free(model);
+            total_skip++;
+            continue;
+        }
+
+        int model_pass = 0;
+        int model_fail = 0;
+
+        for (const auto & section : sections) {
+            bool pass = run_test_section(qs, mt, section);
+            if (pass) {
+                model_pass++;
+            } else {
+                model_fail++;
+            }
+        }
+
+        printf("  %s  %s: %d/%d ftype sections passed (%d tensors)\n", model_fail == 0 ? "PASS" : "FAIL", name.c_str(),
+               model_pass, model_pass + model_fail, (int) mt.tensors.size());
+        printf("\n");
+
+        if (model_fail == 0) {
+            total_pass++;
+        } else {
+            total_fail++;
+        }
+
+        llama_quant_free(qs);
+        llama_model_free(model);
+    }
+
+    printf("%d/%d models passed", total_pass, total_pass + total_fail);
+    if (total_skip > 0) {
+        printf(", %d skipped", total_skip);
+    }
+    printf("\n");
+
+    if (total_fail > 0) {
+        printf("\nIf these changes are intentional, regenerate snapshot files with:\n");
+        printf("  %s --generate\n", argv0);
+    }
+
+    return total_fail > 0 ? 1 : 0;
+}
+
+int main(int argc, char ** argv) {
+    std::string snapshot_dir = SNAPSHOT_DIR;
+    bool        generate     = false;
+
+    for (int i = 1; i < argc; i++) {
+        if (strcmp(argv[i], "--generate") == 0) {
+            generate = true;
+        } else if (strcmp(argv[i], "--snapshot-dir") == 0 && i + 1 < argc) {
+            snapshot_dir = argv[++i];
+        }
+    }
+
+    if (generate) {
+        return run_generate(snapshot_dir);
+    }
+
+    // suppress llama log warnings during test (e.g. tensor type fallback messages)
+    llama_log_set([](enum ggml_log_level, const char *, void *) {}, nullptr);
+
+    return run_remote_tests(snapshot_dir, argv[0]);
+}
diff --git a/tests/test-quantize-fns.cpp b/tests/test-quantize-fns.cpp
index a8fb1926231ff87c428169db22fd3645388408db..a05fab50421fec94d392732ca66e49b99f1cc546 100644
--- a/tests/test-quantize-fns.cpp
+++ b/tests/test-quantize-fns.cpp
@@ -16,6 +16,7 @@
 
 constexpr float MAX_QUANTIZATION_REFERENCE_ERROR = 0.0001f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR = 0.002f;
+constexpr float MAX_QUANTIZATION_TOTAL_ERROR_BINARY = 0.025f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_TERNARY = 0.01f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_2BITS = 0.0075f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS = 0.0040f;
@@ -24,6 +25,7 @@ constexpr float MAX_QUANTIZATION_TOTAL_ERROR_FP4 = 0.0030f;
 constexpr float MAX_DOT_PRODUCT_ERROR = 0.02f;
 constexpr float MAX_DOT_PRODUCT_ERROR_LOWBIT = 0.04f;
 constexpr float MAX_DOT_PRODUCT_ERROR_FP4 = 0.03f;
+constexpr float MAX_DOT_PRODUCT_ERROR_BINARY = 0.40f;
 constexpr float MAX_DOT_PRODUCT_ERROR_TERNARY = 0.15f;
 
 static const char* RESULT_STR[] = {"ok", "FAILED"};
@@ -145,6 +147,7 @@ int main(int argc, char * argv[]) {
         if (qfns_cpu->from_float && qfns->to_float) {
             const float total_error = total_quantization_error(qfns, qfns_cpu, test_size, test_data.data());
             const float max_quantization_error =
+                type == GGML_TYPE_Q1_0    ? MAX_QUANTIZATION_TOTAL_ERROR_BINARY :
                 type == GGML_TYPE_TQ1_0   ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY :
                 type == GGML_TYPE_TQ2_0   ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY :
                 type == GGML_TYPE_Q2_K    ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS :
@@ -170,6 +173,8 @@ int main(int argc, char * argv[]) {
             const float max_allowed_error = type == GGML_TYPE_Q2_K || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ2_XXS ||
                                             type == GGML_TYPE_IQ3_XXS || type == GGML_TYPE_IQ3_S || type == GGML_TYPE_IQ2_S
                                           ? MAX_DOT_PRODUCT_ERROR_LOWBIT
+                                          : type == GGML_TYPE_Q1_0
+                                          ? MAX_DOT_PRODUCT_ERROR_BINARY
                                           : type == GGML_TYPE_TQ1_0 || type == GGML_TYPE_TQ2_0
                                           ? MAX_DOT_PRODUCT_ERROR_TERNARY
                                           : type == GGML_TYPE_NVFP4
diff --git a/tests/test-quantize-stats.cpp b/tests/test-quantize-stats.cpp
index de587d456d09bccada38d2335e8503636ad74395..e53a7b35531858df681e11a7d9f7ab38ec51b908 100644
--- a/tests/test-quantize-stats.cpp
+++ b/tests/test-quantize-stats.cpp
@@ -1,10 +1,13 @@
-#include "ggml.h"
-#include "ggml-cpu.h"
 #include "llama.h"
+
+#include "build-info.h"
 #include "common.h"
 
 #include "../src/llama-model.h"
 
+#include "ggml.h"
+#include "ggml-cpu.h"
+
 #include <algorithm>
 #include <cassert>
 #include <cinttypes>
@@ -298,7 +301,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    print_build_info();
+    llama_print_build_info();
 
     // load the model
     fprintf(stderr, "Loading model\n");
diff --git a/tests/test-reasoning-budget.cpp b/tests/test-reasoning-budget.cpp
index ab540a846302cfb7b41ff15105f03542a823148f..3028fb4d8f06ba9c60cd53c694027796f608e75a 100644
--- a/tests/test-reasoning-budget.cpp
+++ b/tests/test-reasoning-budget.cpp
@@ -61,8 +61,6 @@ static void test_reasoning_budget(
 
     // Feed the sequence and track when forcing occurs
     for (size_t i = 0; i < sequence.size(); i++) {
-        llama_sampler_accept(sampler, sequence[i]);
-
         // Check if we're in forcing state by applying and seeing if logits are modified
         cur_p.selected = -1;
         for (size_t j = 0; j < cur.size(); j++) {
@@ -81,6 +79,8 @@ static void test_reasoning_budget(
             }
         }
 
+        llama_sampler_accept(sampler, sequence[i]);
+
         fprintf(stderr, "    i=%zu: token=%d, finite_count=%zu, finite_token=%d\n", i, (int)sequence[i], finite_count, (int)finite_token);
 
         if (finite_count == 1) {
@@ -167,9 +167,9 @@ int main(void) {
     }
 
     // Test 2: Budget exhausted, forcing should occur
-    // Flow: i=0 accept(100)->COUNTING, i=1 accept(50)->remaining=1, i=2 accept(51)->remaining=0->FORCING
-    // Forcing is active at i=2 and i=3 (when apply() is called while in FORCING state)
-    // At i=4, force_pos becomes 2 which equals forced_tokens.size(), so state becomes DONE
+    // Flow: i=0 apply()->passthrough, accept(100)->COUNTING; i=1 accept(50)->remaining=1
+    // i=2 accept(51)->remaining=0->FORCING; i=3 apply() forces token[0]; i=4 apply() forces token[1]
+    // At i=4, accept() advances force_pos to 2 which equals forced_tokens.size(), so state becomes DONE
     {
         const std::vector<llama_token> start = {100};
         const std::vector<llama_token> end = {101};
@@ -179,13 +179,12 @@ int main(void) {
         test_reasoning_budget("budget exhausted forcing", sequence, start, end, forced,
             2,      // budget of 2 tokens
             REASONING_BUDGET_IDLE,
-            2,      // forcing starts at i=2 (after accept(51) depletes budget, apply() forces)
-            3);     // forcing continues through i=3 (at i=4 state becomes DONE)
+            3,      // forcing starts at i=3 (accept at i=2 depletes budget, apply at i=3 forces)
+            4);     // forcing continues through i=4 (accept at i=4 transitions to DONE)
     }
 
     // Test 3: Activate immediately with budget=0, forcing should start right away
-    // Flow: Since no start token in sequence, state stays IDLE (no start/end configured means passthrough)
-    // This test needs start token to be in the sequence or use activate_immediately with start token present
+    // Flow: init promotes COUNTING+budget=0 to FORCING, so apply() sees FORCING at i=0
     {
         const std::vector<llama_token> start = {100};
         const std::vector<llama_token> end = {101};
@@ -195,8 +194,8 @@ int main(void) {
         test_reasoning_budget("activate immediately budget=0", sequence, start, end, forced,
             0,      // budget of 0 tokens
             REASONING_BUDGET_COUNTING, // starts counting, promoted to FORCING since budget=0
-            0,      // forcing starts at i=0 (after accept(100), budget=0 goes straight to FORCING)
-            1);     // forcing continues through i=1 (at i=2 state becomes DONE)
+            0,      // forcing starts at i=0 (initialized in FORCING, apply forces immediately)
+            1);     // forcing continues through i=1 (accept at i=1 transitions to DONE)
     }
 
     // Test 4: No start/end tokens configured - passthrough (no forcing)
@@ -214,7 +213,7 @@ int main(void) {
 
     // Test 5: Activate immediately with budget > 0, count down then force
     // Flow: i=0 accept(50)->remaining=1, i=1 accept(51)->remaining=0->FORCING
-    // So forcing starts at i=1 (apply after accept sees FORCING with force_pos=0)
+    // Forcing starts at i=2 (apply sees FORCING after accept at i=1 transitioned)
     {
         const std::vector<llama_token> start = {100};
         const std::vector<llama_token> end = {101};
@@ -224,8 +223,8 @@ int main(void) {
         test_reasoning_budget("activate immediately with budget", sequence, start, end, forced,
             2,      // budget of 2 tokens
             REASONING_BUDGET_COUNTING,
-            1,      // forcing starts at i=1 (after 2 accepts deplete budget)
-            2);     // forcing continues through i=2
+            2,      // forcing starts at i=2 (after 2 accepts deplete budget, apply at i=2 forces)
+            3);     // forcing continues through i=3
     }
 
     printf("OK (5 tests passed)\n");
diff --git a/tests/test-state-restore-fragmented.cpp b/tests/test-state-restore-fragmented.cpp
index 481b39d04c70be20a0918ca669f8f476f018bd9a..8a9bfaf5dcc729651b5a7d005b9972a4a8556862 100644
--- a/tests/test-state-restore-fragmented.cpp
+++ b/tests/test-state-restore-fragmented.cpp
@@ -22,12 +22,12 @@ int main(int argc, char ** argv) {
     params.n_parallel = 3;
     params.n_ctx = 256;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     // init
     common_init_result_ptr llama_init = common_init_from_params(params);
 
diff --git a/tests/test-thread-safety.cpp b/tests/test-thread-safety.cpp
index bcb86c35e66526aedc79de231ac688846c89be8b..acda4aa81eaba92e00ca4edd1774c3d55e48e576 100644
--- a/tests/test-thread-safety.cpp
+++ b/tests/test-thread-safety.cpp
@@ -16,12 +16,12 @@
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     llama_backend_init();
     llama_numa_init(params.numa);
 
diff --git a/tests/test-tokenizer-0.py b/tests/test-tokenizer-0.py
index cd760d1ce5be7041e22be7f4047229e965221ccc..4f3f1c8a6770ee5a67ade1c9f35a5efb269a5934 100644
--- a/tests/test-tokenizer-0.py
+++ b/tests/test-tokenizer-0.py
@@ -19,7 +19,7 @@ with open(fname_tok, 'r', encoding='utf-8') as f:
     lines = f.readlines()
     s = ''.join(lines)
     t_start = time.time()
-    res = tokenizer.encode(s, add_special_tokens=False)
+    res = tokenizer.encode(s, add_special_tokens=False)  # ty: ignore[unresolved-attribute]
     t_end = time.time()
     print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP100
     with open(fname_out, 'w', encoding='utf-8') as f:
diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py
index 93e697607e6689a32284a8a7c9f772f8b4cd85fc..8fc476b63c3f4b9f527468a9153a03e3bef80ea5 100644
--- a/tests/test-tokenizer-random.py
+++ b/tests/test-tokenizer-random.py
@@ -16,8 +16,7 @@ import random
 import unicodedata
 
 from pathlib import Path
-from typing import Any, Iterator, cast
-from typing_extensions import Buffer
+from typing import Any, Iterator
 
 import cffi
 from transformers import AutoTokenizer, PreTrainedTokenizer
@@ -114,7 +113,7 @@ class LibLlamaModel:
         while num < 0 and len(self.text_buff) < (16 << 20):
             self.text_buff = self.ffi.new("uint8_t[]", -2 * num)
             num = self.lib.llama_detokenize(self.model, self.token_ids, len(ids), self.text_buff, len(self.text_buff), remove_special, unparse_special)
-        return str(cast(Buffer, self.ffi.buffer(self.text_buff, num)), encoding="utf-8", errors="replace")  # replace errors with '\uFFFD'
+        return str(self.ffi.buffer(self.text_buff, num), encoding="utf-8", errors="replace")  # replace errors with '\uFFFD' # pyright: ignore[reportArgumentType]
 
 
 class Tokenizer:
@@ -129,7 +128,7 @@ class Tokenizer:
 class TokenizerGroundtruth (Tokenizer):
 
     def __init__(self, dir_tokenizer: str):
-        self.model: PreTrainedTokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
+        self.model: PreTrainedTokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)  # ty: ignore[invalid-assignment]
         # guess BOS and EOS
         ids = self.encode("a")
         assert 1 <= len(ids) <= 3
@@ -143,7 +142,7 @@ class TokenizerGroundtruth (Tokenizer):
         self.vocab = list(sorted(self.vocab))
         # tokens and lists
         self.special_tokens = list(self.model.all_special_tokens)
-        self.added_tokens   = self.model.batch_decode(self.model.added_tokens_encoder.values(), skip_special_tokens=False)
+        self.added_tokens   = self.model.batch_decode(list(self.model.added_tokens_encoder.values()), skip_special_tokens=False)
         self.bos_token = self.model.bos_token
         self.eos_token = self.model.eos_token
 
@@ -151,7 +150,7 @@ class TokenizerGroundtruth (Tokenizer):
         return self.model.encode(text, add_special_tokens=True)
 
     def decode(self, ids: list[int]) -> str:
-        return self.model.decode(ids, skip_special_tokens=False)
+        return self.model.decode(ids, skip_special_tokens=False)  # ty: ignore[invalid-return-type]
 
 
 class TokenizerLlamaCpp (Tokenizer):
@@ -438,7 +437,7 @@ def compare_tokenizers(tokenizer1: TokenizerGroundtruth, tokenizer2: TokenizerLl
     decode_errors = 0
     MAX_ERRORS = 10
 
-    logger.info("%s: %s" % (generator.__qualname__, "ini"))
+    logger.info("%s: %s" % (getattr(generator, "__qualname__", ""), "ini"))
     for text in generator:
         # print(repr(text), text.encode())
         # print(repr(text), hex(ord(text[0])), text.encode())
@@ -477,7 +476,7 @@ def compare_tokenizers(tokenizer1: TokenizerGroundtruth, tokenizer2: TokenizerLl
             break
 
     t_total = time.perf_counter() - t_start
-    logger.info(f"{generator.__qualname__}: end,  {t_encode1=:.3f} {t_encode2=:.3f}  {t_decode1=:.3f} {t_decode2=:.3f}  {t_total=:.3f}")
+    logger.info(f"{getattr(generator, '__qualname__', '')}: end,  {t_encode1=:.3f} {t_encode2=:.3f}  {t_decode1=:.3f} {t_decode2=:.3f}  {t_total=:.3f}")
 
 
 def main(argv: list[str] | None = None):
diff --git a/tools/batched-bench/CMakeLists.txt b/tools/batched-bench/CMakeLists.txt
index 4a46b57a528113af81cc3c28e5a629182ded54dc..6b2c4fc687fb56e014a29f5eead86fc713932882 100644
--- a/tools/batched-bench/CMakeLists.txt
+++ b/tools/batched-bench/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-batched-bench)
-add_executable(${TARGET} batched-bench.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:b506deb66cf08a5712da0cf5aa82cfb5e6a9dfa0dfe3baf028146791fe77df6c
+size 296
diff --git a/tools/batched-bench/batched-bench.cpp b/tools/batched-bench/batched-bench.cpp
index 224f0e1f1c6eff883daa1c1d74f2d2cf3f6c965b..3964ef25955fe9249e3c98b02b50bb5900b775dc 100644
--- a/tools/batched-bench/batched-bench.cpp
+++ b/tools/batched-bench/batched-bench.cpp
@@ -20,12 +20,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_BENCH, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     int is_pp_shared   = params.is_pp_shared;
     int is_tg_separate = params.is_tg_separate;
 
diff --git a/tools/cli/CMakeLists.txt b/tools/cli/CMakeLists.txt
index b08fff4c28904f12fa819f767f5acfc6b2f92fad..2c8f4ec1cd367f8c09144aa823dd5492d026819a 100644
--- a/tools/cli/CMakeLists.txt
+++ b/tools/cli/CMakeLists.txt
@@ -1,10 +1,3 @@
-set(TARGET llama-cli)
-add_executable(${TARGET} cli.cpp)
-target_link_libraries(${TARGET} PRIVATE server-context PUBLIC common ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-include_directories(../server)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:dae0299a7d2aba3feb8c18ff8f565715acaf2f40651149adc6633df6b53d4f0b
+size 326
diff --git a/tools/cli/README.md b/tools/cli/README.md
index 22d3fc87e96421a2750e36d80038aa996586e374..bbb7d217a2639f702589b6226d28ceb5f4a9fb40 100644
--- a/tools/cli/README.md
+++ b/tools/cli/README.md
@@ -1,192 +1,3 @@
-# llama.cpp/tools/cli
-
-## Usage
-
-<!-- HELP_START -->
-
-<!-- IMPORTANT: The list below is auto-generated by llama-gen-docs; do NOT modify it manually -->
-
-### Common params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `-h, --help, --usage` | print usage and exit |
-| `--version` | show version and build info |
-| `--license` | show source code license and dependencies |
-| `-cl, --cache-list` | show list of models in cache |
-| `--completion-bash` | print source-able bash completion script for llama.cpp |
-| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
-| `-t, --threads N` | number of CPU threads to use during generation (default: -1)<br/>(env: LLAMA_ARG_THREADS) |
-| `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) |
-| `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") |
-| `-Cr, --cpu-range lo-hi` | range of CPUs for affinity. Complements --cpu-mask |
-| `--cpu-strict <0\|1>` | use strict CPU placement (default: 0) |
-| `--prio N` | set process/thread priority : low(-1), normal(0), medium(1), high(2), realtime(3) (default: 0) |
-| `--poll <0...100>` | use polling level to wait for work (0 - no polling, default: 50) |
-| `-Cb, --cpu-mask-batch M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range-batch (default: same as --cpu-mask) |
-| `-Crb, --cpu-range-batch lo-hi` | ranges of CPUs for affinity. Complements --cpu-mask-batch |
-| `--cpu-strict-batch <0\|1>` | use strict CPU placement (default: same as --cpu-strict) |
-| `--prio-batch N` | set process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
-| `--poll-batch <0\|1>` | use polling to wait for work (default: same as --poll) |
-| `-c, --ctx-size N` | size of the prompt context (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE) |
-| `-n, --predict, --n-predict N` | number of tokens to predict (default: -1, -1 = infinity)<br/>(env: LLAMA_ARG_N_PREDICT) |
-| `-b, --batch-size N` | logical maximum batch size (default: 2048)<br/>(env: LLAMA_ARG_BATCH) |
-| `-ub, --ubatch-size N` | physical maximum batch size (default: 512)<br/>(env: LLAMA_ARG_UBATCH) |
-| `--keep N` | number of tokens to keep from the initial prompt (default: 0, -1 = all) |
-| `--swa-full` | use full-size SWA cache (default: false)<br/>[(more info)](https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)<br/>(env: LLAMA_ARG_SWA_FULL) |
-| `-fa, --flash-attn [on\|off\|auto]` | set Flash Attention use ('on', 'off', or 'auto', default: 'auto')<br/>(env: LLAMA_ARG_FLASH_ATTN) |
-| `-p, --prompt PROMPT` | prompt to start generation with; for system message, use -sys |
-| `--perf, --no-perf` | whether to enable internal libllama performance timings (default: false)<br/>(env: LLAMA_ARG_PERF) |
-| `-f, --file FNAME` | a file containing the prompt (default: none) |
-| `-bf, --binary-file FNAME` | binary file containing the prompt (default: none) |
-| `-e, --escape, --no-escape` | whether to process escapes sequences (\n, \r, \t, \', \", \\) (default: true) |
-| `--rope-scaling {none,linear,yarn}` | RoPE frequency scaling method, defaults to linear unless specified by the model<br/>(env: LLAMA_ARG_ROPE_SCALING_TYPE) |
-| `--rope-scale N` | RoPE context scaling factor, expands context by a factor of N<br/>(env: LLAMA_ARG_ROPE_SCALE) |
-| `--rope-freq-base N` | RoPE base frequency, used by NTK-aware scaling (default: loaded from model)<br/>(env: LLAMA_ARG_ROPE_FREQ_BASE) |
-| `--rope-freq-scale N` | RoPE frequency scaling factor, expands context by a factor of 1/N<br/>(env: LLAMA_ARG_ROPE_FREQ_SCALE) |
-| `--yarn-orig-ctx N` | YaRN: original context size of model (default: 0 = model training context size)<br/>(env: LLAMA_ARG_YARN_ORIG_CTX) |
-| `--yarn-ext-factor N` | YaRN: extrapolation mix factor (default: -1.00, 0.0 = full interpolation)<br/>(env: LLAMA_ARG_YARN_EXT_FACTOR) |
-| `--yarn-attn-factor N` | YaRN: scale sqrt(t) or attention magnitude (default: -1.00)<br/>(env: LLAMA_ARG_YARN_ATTN_FACTOR) |
-| `--yarn-beta-slow N` | YaRN: high correction dim or alpha (default: -1.00)<br/>(env: LLAMA_ARG_YARN_BETA_SLOW) |
-| `--yarn-beta-fast N` | YaRN: low correction dim or beta (default: -1.00)<br/>(env: LLAMA_ARG_YARN_BETA_FAST) |
-| `-kvo, --kv-offload, -nkvo, --no-kv-offload` | whether to enable KV cache offloading (default: enabled)<br/>(env: LLAMA_ARG_KV_OFFLOAD) |
-| `--repack, -nr, --no-repack` | whether to enable weight repacking (default: enabled)<br/>(env: LLAMA_ARG_REPACK) |
-| `--no-host` | bypass host buffer allowing extra buffers to be used<br/>(env: LLAMA_ARG_NO_HOST) |
-| `-ctk, --cache-type-k TYPE` | KV cache data type for K<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K) |
-| `-ctv, --cache-type-v TYPE` | KV cache data type for V<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V) |
-| `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
-| `-np, --parallel N` | number of parallel sequences to decode (default: 1)<br/>(env: LLAMA_ARG_N_PARALLEL) |
-| `--mlock` | force system to keep model in RAM rather than swapping or compressing<br/>(env: LLAMA_ARG_MLOCK) |
-| `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
-| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)<br/>(env: LLAMA_ARG_DIO) |
-| `--numa TYPE` | attempt optimizations that help on some NUMA systems<br/>- distribute: spread execution evenly over all nodes<br/>- isolate: only spawn threads on CPUs on the node that execution started on<br/>- numactl: use the CPU map provided by numactl<br/>if run without this previously, it is recommended to drop the system page cache before using this<br/>see https://github.com/ggml-org/llama.cpp/issues/1437<br/>(env: LLAMA_ARG_NUMA) |
-| `-dev, --device <dev1,dev2,..>` | comma-separated list of devices to use for offloading (none = don't offload)<br/>use --list-devices to see a list of available devices<br/>(env: LLAMA_ARG_DEVICE) |
-| `--list-devices` | print list of available devices and exit |
-| `-ot, --override-tensor <tensor name pattern>=<buffer type>,...` | override tensor buffer type<br/>(env: LLAMA_ARG_OVERRIDE_TENSOR) |
-| `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU<br/>(env: LLAMA_ARG_CPU_MOE) |
-| `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU<br/>(env: LLAMA_ARG_N_CPU_MOE) |
-| `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS) |
-| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs<br/>- row: split rows across GPUs<br/>(env: LLAMA_ARG_SPLIT_MODE) |
-| `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1<br/>(env: LLAMA_ARG_TENSOR_SPLIT) |
-| `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)<br/>(env: LLAMA_ARG_MAIN_GPU) |
-| `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')<br/>(env: LLAMA_ARG_FIT) |
-| `-fitt, --fit-target MiB0,MiB1,MiB2,...` | target margin per device for --fit, comma-separated list of values, single value is broadcast across all devices, default: 1024<br/>(env: LLAMA_ARG_FIT_TARGET) |
-| `-fitc, --fit-ctx N` | minimum ctx size that can be set by --fit option, default: 4096<br/>(env: LLAMA_ARG_FIT_CTX) |
-| `--check-tensors` | check model tensor data for invalid values (default: false) |
-| `--override-kv KEY=TYPE:VALUE,...` | advanced option to override model metadata by key. to specify multiple overrides, either use comma-separated values.<br/>types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false,tokenizer.ggml.add_eos_token=bool:false |
-| `--op-offload, --no-op-offload` | whether to offload host tensor operations to device (default: true) |
-| `--lora FNAME` | path to LoRA adapter (use comma-separated values to load multiple adapters) |
-| `--lora-scaled FNAME:SCALE,...` | path to LoRA adapter with user defined scaling (format: FNAME:SCALE,...)<br/>note: use comma-separated values |
-| `--control-vector FNAME` | add a control vector<br/>note: use comma-separated values to add multiple control vectors |
-| `--control-vector-scaled FNAME:SCALE,...` | add a control vector with user defined scaling SCALE<br/>note: use comma-separated values (format: FNAME:SCALE,...) |
-| `--control-vector-layer-range START END` | layer range to apply the control vector(s) to, start and end inclusive |
-| `-m, --model FNAME` | model path to load<br/>(env: LLAMA_ARG_MODEL) |
-| `-mu, --model-url MODEL_URL` | model download url (default: unused)<br/>(env: LLAMA_ARG_MODEL_URL) |
-| `-dr, --docker-repo [<repo>/]<model>[:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.<br/>example: gemma3<br/>(default: unused)<br/>(env: LLAMA_ARG_DOCKER_REPO) |
-| `-hf, -hfr, --hf-repo <user>/<model>[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.<br/>mmproj is also downloaded automatically if available. to disable, add --no-mmproj<br/>example: unsloth/phi-4-GGUF:q4_k_m<br/>(default: unused)<br/>(env: LLAMA_ARG_HF_REPO) |
-| `-hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_HFD_REPO) |
-| `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)<br/>(env: LLAMA_ARG_HF_FILE) |
-| `-hfv, -hfrv, --hf-repo-v <user>/<model>[:quant]` | Hugging Face model repository for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_REPO_V) |
-| `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_FILE_V) |
-| `-hft, --hf-token TOKEN` | Hugging Face access token (default: value from HF_TOKEN environment variable)<br/>(env: HF_TOKEN) |
-| `--log-disable` | Log disable |
-| `--log-file FNAME` | Log to file<br/>(env: LLAMA_LOG_FILE) |
-| `--log-colors [on\|off\|auto]` | Set colored logging ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal<br/>(env: LLAMA_LOG_COLORS) |
-| `-v, --verbose, --log-verbose` | Set verbosity level to infinity (i.e. log all messages, useful for debugging) |
-| `--offline` | Offline mode: forces use of cache, prevents network access<br/>(env: LLAMA_OFFLINE) |
-| `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:<br/> - 0: generic output<br/> - 1: error<br/> - 2: warning<br/> - 3: info<br/> - 4: debug<br/>(default: 3)<br/><br/>(env: LLAMA_LOG_VERBOSITY) |
-| `--log-prefix` | Enable prefix in log messages<br/>(env: LLAMA_LOG_PREFIX) |
-| `--log-timestamps` | Enable timestamps in log messages<br/>(env: LLAMA_LOG_TIMESTAMPS) |
-| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) |
-| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) |
-
-
-### Sampling params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `--samplers SAMPLERS` | samplers that will be used for generation in the order, separated by ';'<br/>(default: penalties;dry;top_n_sigma;top_k;typ_p;top_p;min_p;xtc;temperature) |
-| `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
-| `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
-| `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
-| `--temp, --temperature N` | temperature (default: 0.80) |
-| `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
-| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
-| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
-| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
-| `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
-| `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
-| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
-| `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) |
-| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
-| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
-| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled) |
-| `--dry-multiplier N` | set DRY sampling multiplier (default: 0.00, 0.0 = disabled) |
-| `--dry-base N` | set DRY sampling base value (default: 1.75) |
-| `--dry-allowed-length N` | set allowed length for DRY sampling (default: 2) |
-| `--dry-penalty-last-n N` | set DRY penalty for the last n tokens (default: -1, 0 = disable, -1 = context size) |
-| `--dry-sequence-breaker STRING` | add sequence breaker for DRY sampling, clearing out default breakers ('\n', ':', '"', '*') in the process; use "none" to not use any sequence breakers |
-| `--adaptive-target N` | adaptive-p: select tokens near this probability (valid range 0.0 to 1.0; negative = disabled) (default: -1.00)<br/>[(more info)](https://github.com/ggml-org/llama.cpp/pull/17927) |
-| `--adaptive-decay N` | adaptive-p: decay rate for target adaptation over time. lower values are more reactive, higher values are more stable.<br/>(valid range 0.0 to 0.99) (default: 0.90) |
-| `--dynatemp-range N` | dynamic temperature range (default: 0.00, 0.0 = disabled) |
-| `--dynatemp-exp N` | dynamic temperature exponent (default: 1.00) |
-| `--mirostat N` | use Mirostat sampling.<br/>Top K, Nucleus and Locally Typical samplers are ignored if used.<br/>(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) |
-| `--mirostat-lr N` | Mirostat learning rate, parameter eta (default: 0.10) |
-| `--mirostat-ent N` | Mirostat target entropy, parameter tau (default: 5.00) |
-| `-l, --logit-bias TOKEN_ID(+/-)BIAS` | modifies the likelihood of token appearing in the completion,<br/>i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',<br/>or `--logit-bias 15043-1` to decrease likelihood of token ' Hello' |
-| `--grammar GRAMMAR` | BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '') |
-| `--grammar-file FNAME` | file to read grammar from |
-| `-j, --json-schema SCHEMA` | JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object<br/>For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead |
-| `-jf, --json-schema-file FILE` | File containing a JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object<br/>For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead |
-| `-bs, --backend-sampling` | enable backend sampling (experimental) (default: disabled)<br/>(env: LLAMA_ARG_BACKEND_SAMPLING) |
-
-
-### CLI-specific params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `--display-prompt, --no-display-prompt` | whether to print prompt at generation (default: true) |
-| `-co, --color [on\|off\|auto]` | Colorize output to distinguish prompt and user input from generations ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal |
-| `--ctx-checkpoints, --swa-checkpoints N` | max number of context checkpoints to create per slot (default: 8)[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293)<br/>(env: LLAMA_ARG_CTX_CHECKPOINTS) |
-| `-cram, --cache-ram N` | set the maximum cache size in MiB (default: 8192, -1 - no limit, 0 - disable)[(more info)](https://github.com/ggml-org/llama.cpp/pull/16391)<br/>(env: LLAMA_ARG_CACHE_RAM) |
-| `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)<br/>(env: LLAMA_ARG_CONTEXT_SHIFT) |
-| `-sys, --system-prompt PROMPT` | system prompt to use with model (if applicable, depending on chat template) |
-| `--show-timings, --no-show-timings` | whether to show timing information after each response (default: true)<br/>(env: LLAMA_ARG_SHOW_TIMINGS) |
-| `-sysf, --system-prompt-file FNAME` | a file containing the system prompt (default: none) |
-| `-r, --reverse-prompt PROMPT` | halt generation at PROMPT, return control in interactive mode |
-| `-sp, --special` | special tokens output enabled (default: false) |
-| `-cnv, --conversation, -no-cnv, --no-conversation` | whether to run in conversation mode:<br/>- does not print special tokens and suffix/prefix<br/>- interactive mode is also enabled<br/>(default: auto enabled if chat template is available) |
-| `-st, --single-turn` | run conversation for a single turn only, then exit when done<br/>will not be interactive if first turn is predefined with --prompt<br/>(default: false) |
-| `-mli, --multiline-input` | allows you to write or paste multiple lines without ending each in '\' |
-| `--warmup, --no-warmup` | whether to perform warmup with an empty run (default: enabled) |
-| `-mm, --mmproj FILE` | path to a multimodal projector file. see tools/mtmd/README.md<br/>note: if -hf is used, this argument can be omitted<br/>(env: LLAMA_ARG_MMPROJ) |
-| `-mmu, --mmproj-url URL` | URL to a multimodal projector file. see tools/mtmd/README.md<br/>(env: LLAMA_ARG_MMPROJ_URL) |
-| `--mmproj-auto, --no-mmproj, --no-mmproj-auto` | whether to use multimodal projector file (if available), useful when using -hf (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_AUTO) |
-| `--mmproj-offload, --no-mmproj-offload` | whether to enable GPU offloading for multimodal projector (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_OFFLOAD) |
-| `--image, --audio FILE` | path to an image or audio file. use with multimodal models, use comma-separated values for multiple files |
-| `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MIN_TOKENS) |
-| `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MAX_TOKENS) |
-| `-otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
-| `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_CPU_MOE_DRAFT) |
-| `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_N_CPU_MOE_DRAFT) |
-| `--chat-template-kwargs STRING` | sets additional params for the json template parser, must be a valid json object string, e.g. '{"key1":"value1","key2":"value2"}'<br/>(env: LLAMA_CHAT_TEMPLATE_KWARGS) |
-| `--jinja, --no-jinja` | whether to use jinja template engine for chat (default: enabled)<br/>(env: LLAMA_ARG_JINJA) |
-| `--reasoning-format FORMAT` | controls whether thought tags are allowed and/or extracted from the response, and in which format they're returned; one of:<br/>- none: leaves thoughts unparsed in `message.content`<br/>- deepseek: puts thoughts in `message.reasoning_content`<br/>- deepseek-legacy: keeps `<think>` tags in `message.content` while also populating `message.reasoning_content`<br/>(default: auto)<br/>(env: LLAMA_ARG_THINK) |
-| `--reasoning-budget N` | controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)<br/>(env: LLAMA_ARG_THINK_BUDGET) |
-| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
-| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
-| `--simple-io` | use basic IO for better compatibility in subprocesses and limited consoles |
-| `--draft, --draft-n, --draft-max N` | number of tokens to draft for speculative decoding (default: 16)<br/>(env: LLAMA_ARG_DRAFT_MAX) |
-| `--draft-min, --draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)<br/>(env: LLAMA_ARG_DRAFT_MIN) |
-| `--draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)<br/>(env: LLAMA_ARG_DRAFT_P_MIN) |
-| `-cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE_DRAFT) |
-| `-devd, --device-draft <dev1,dev2,..>` | comma-separated list of devices to use for offloading the draft model (none = don't offload)<br/>use --list-devices to see a list of available devices |
-| `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
-| `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_MODEL_DRAFT) |
-| `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
-| `--gpt-oss-20b-default` | use gpt-oss-20b (note: can download weights from the internet) |
-| `--gpt-oss-120b-default` | use gpt-oss-120b (note: can download weights from the internet) |
-| `--vision-gemma-4b-default` | use Gemma 3 4B QAT (note: can download weights from the internet) |
-| `--vision-gemma-12b-default` | use Gemma 3 12B QAT (note: can download weights from the internet) |
-
-<!-- HELP_END -->
+version https://git-lfs.github.com/spec/v1
+oid sha256:e90eeed028d5726248bfff2594005c9689dbba3dd78cd8409e01db49e5ed63b1
+size 25137
diff --git a/tools/cli/cli.cpp b/tools/cli/cli.cpp
index 94182b2ad8a47abedd37a1521b15278a9468cc5e..6ee00012dc99a2b210d978f600378f40afb75a92 100644
--- a/tools/cli/cli.cpp
+++ b/tools/cli/cli.cpp
@@ -2,8 +2,10 @@
 #include "common.h"
 #include "arg.h"
 #include "console.h"
+#include "fit.h"
 // #include "log.h"
 
+#include "server-common.h"
 #include "server-context.h"
 #include "server-task.h"
 
@@ -100,12 +102,12 @@ struct cli_context {
             }
 
             // reasoning budget sampler
-            if (reasoning_budget >= 0 && !chat_params.thinking_end_tag.empty()) {
+            if (!chat_params.thinking_end_tag.empty()) {
                 const llama_vocab * vocab = llama_model_get_vocab(
                     llama_get_model(ctx_server.get_llama_context()));
 
                 task.params.sampling.reasoning_budget_tokens = reasoning_budget;
-                task.params.sampling.reasoning_budget_activate_immediately = chat_params.thinking_forced_open;
+                task.params.sampling.generation_prompt = chat_params.generation_prompt;
 
                 if (!chat_params.thinking_start_tag.empty()) {
                     task.params.sampling.reasoning_budget_start =
@@ -194,7 +196,7 @@ struct cli_context {
             raw_buffer buf;
             buf.assign((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
             input_files.push_back(std::move(buf));
-            return mtmd_default_marker();
+            return get_media_marker();
         } else {
             std::string content((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
             return content;
@@ -224,10 +226,11 @@ struct cli_context {
 };
 
 // TODO?: Make this reusable, enums, docs
-static const std::array<const std::string, 6> cmds = {
+static const std::array<const std::string, 7> cmds = {
     "/audio ",
     "/clear",
     "/exit",
+    "/glob ",
     "/image ",
     "/read ",
     "/regen",
@@ -258,7 +261,7 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
         }
     }
 
-    if (!cmd.empty() && line.length() >= cmd.length() && cursor_byte_pos >= cmd.length()) {
+    if (!cmd.empty() && cmd != "/glob " && line.length() >= cmd.length() && cursor_byte_pos >= cmd.length()) {
         const std::string path_prefix  = std::string(line.substr(cmd.length(), cursor_byte_pos - cmd.length()));
         const std::string path_postfix = std::string(line.substr(cursor_byte_pos));
         auto cur_dir = std::filesystem::current_path();
@@ -339,11 +342,15 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
     return matches;
 }
 
+static constexpr size_t FILE_GLOB_MAX_RESULTS = 100;
+
 int main(int argc, char ** argv) {
     common_params params;
 
     params.verbosity = LOG_LEVEL_ERROR; // by default, less verbose logs
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_CLI)) {
         return 1;
     }
@@ -354,8 +361,6 @@ int main(int argc, char ** argv) {
         console::error("please use llama-completion instead\n");
     }
 
-    common_init();
-
     // struct that contains llama context and inference
     cli_context ctx_cli(params);
 
@@ -430,7 +435,8 @@ int main(int argc, char ** argv) {
     console::log("  /exit or Ctrl+C     stop or exit\n");
     console::log("  /regen              regenerate the last response\n");
     console::log("  /clear              clear the chat history\n");
-    console::log("  /read               add a text file\n");
+    console::log("  /read <file>        add a text file\n");
+    console::log("  /glob <pattern>     add text files using globbing pattern\n");
     if (inf.has_inp_image) {
         console::log("  /image <file>       add an image file\n");
     }
@@ -441,6 +447,27 @@ int main(int argc, char ** argv) {
 
     // interactive loop
     std::string cur_msg;
+
+    auto add_text_file = [&](const std::string & fname) -> bool {
+        std::string marker = ctx_cli.load_input_file(fname, false);
+        if (marker.empty()) {
+            console::error("file does not exist or cannot be opened: '%s'\n", fname.c_str());
+            return false;
+        }
+        if (inf.fim_sep_token != LLAMA_TOKEN_NULL) {
+            cur_msg += common_token_to_piece(ctx_cli.ctx_server.get_llama_context(), inf.fim_sep_token, true);
+            cur_msg += fname;
+            cur_msg.push_back('\n');
+        } else {
+            cur_msg += "--- File: ";
+            cur_msg += fname;
+            cur_msg += " ---\n";
+        }
+        cur_msg += marker;
+        console::log("Loaded text from '%s'\n", fname.c_str());
+        return true;
+    };
+
     while (true) {
         std::string buffer;
         console::set_display(DISPLAY_TYPE_USER_INPUT);
@@ -525,22 +552,60 @@ int main(int argc, char ** argv) {
             continue;
         } else if (string_starts_with(buffer, "/read ")) {
             std::string fname = string_strip(buffer.substr(6));
-            std::string marker = ctx_cli.load_input_file(fname, false);
-            if (marker.empty()) {
-                console::error("file does not exist or cannot be opened: '%s'\n", fname.c_str());
-                continue;
+            add_text_file(fname);
+            continue;
+        } else if (string_starts_with(buffer, "/glob ")) {
+            std::error_code ec;
+            size_t count = 0;
+            auto curdir = std::filesystem::current_path();
+            std::string pattern = string_strip(buffer.substr(6));
+            std::filesystem::path rel_path;
+
+            auto startglob = pattern.find_first_of("![*?");
+            if (startglob != std::string::npos && startglob != 0) {
+                auto endpath = pattern.substr(0, startglob).find_last_of('/');
+                if (endpath != std::string::npos) {
+                    std::string rel_pattern = pattern.substr(0, endpath);
+#if !defined(_WIN32)
+                    if (string_starts_with(rel_pattern, "~")) {
+                        const char * home = std::getenv("HOME");
+                        if (home && home[0]) {
+                            rel_pattern = std::string(home) + rel_pattern.substr(1);
+                        }
+                    }
+#endif
+                    rel_path = rel_pattern;
+                    pattern.erase(0, endpath + 1);
+                    curdir /= rel_path;
+                }
             }
-            if (inf.fim_sep_token != LLAMA_TOKEN_NULL) {
-                cur_msg += common_token_to_piece(ctx_cli.ctx_server.get_llama_context(), inf.fim_sep_token, true);
-                cur_msg += fname;
-                cur_msg.push_back('\n');
-            } else {
-                cur_msg += "--- File: ";
-                cur_msg += fname;
-                cur_msg += " ---\n";
+
+            for (const auto & entry : std::filesystem::recursive_directory_iterator(curdir,
+                    std::filesystem::directory_options::skip_permission_denied, ec)) {
+                if (!entry.is_regular_file()) {
+                    continue;
+                }
+
+                std::string rel = std::filesystem::relative(entry.path(), curdir, ec).string();
+                if (ec) {
+                    ec.clear();
+                    continue;
+                }
+                std::replace(rel.begin(), rel.end(), '\\', '/');
+
+                if (!glob_match(pattern, rel)) {
+                    continue;
+                }
+
+                if (!add_text_file((rel_path / rel).string())) {
+                    continue;
+                }
+
+                if (++count >= FILE_GLOB_MAX_RESULTS) {
+                    console::error("Maximum number of globbed files allowed (%zu) reached.\n", FILE_GLOB_MAX_RESULTS);
+                    break;
+                }
             }
-            cur_msg += marker;
-            console::log("Loaded text from '%s'\n", fname.c_str());
             continue;
         } else {
             // not a command
@@ -583,7 +648,7 @@ int main(int argc, char ** argv) {
 
     // bump the log level to display timings
     common_log_set_verbosity_thold(LOG_LEVEL_INFO);
-    llama_memory_breakdown_print(ctx_cli.ctx_server.get_llama_context());
+    common_memory_breakdown_print(ctx_cli.ctx_server.get_llama_context());
 
     return 0;
 }
diff --git a/tools/completion/CMakeLists.txt b/tools/completion/CMakeLists.txt
index 126ae6ab3d04b811ea379477ef47f51629b51063..c6ec5a5a80d448187116928633f6474e90172b01 100644
--- a/tools/completion/CMakeLists.txt
+++ b/tools/completion/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-completion)
-add_executable(${TARGET} completion.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfbd210c73e0032833dc364b544f1bdb969b6c3c30d661af9a96e7f63d2e17a2
+size 290
diff --git a/tools/completion/README.md b/tools/completion/README.md
index f868c2c7d7d8e07169b7a7fe335f72232908a231..654fc0e9742a4ca5fccb49a18829aac928d87867 100644
--- a/tools/completion/README.md
+++ b/tools/completion/README.md
@@ -1,578 +1,3 @@
-# llama.cpp/tools/completion
-
-This example program allows you to use various LLaMA language models easily and efficiently. It is specifically designed to work with the [llama.cpp](https://github.com/ggml-org/llama.cpp) project, which provides a plain C/C++ implementation with optional 4-bit quantization support for faster, lower memory inference, and is optimized for desktop CPUs. This program can be used to perform various inference tasks with LLaMA models, including generating text based on user-provided prompts and chat-like interactions with reverse prompts.
-
-## Table of Contents
-
-1. [Quick Start](#quick-start)
-2. [Usage](#usage)
-3. [Common Options](#common-options)
-4. [Input Prompts](#input-prompts)
-5. [Interaction](#interaction)
-6. [Context Management](#context-management)
-7. [Generation Flags](#generation-flags)
-8. [Performance Tuning and Memory Options](#performance-tuning-and-memory-options)
-9. [Additional Options](#additional-options)
-
-## Quick Start
-
-To get started right away, run the following command, making sure to use the correct path for the model you have:
-
-First, we will need to download a model. In these examples, we will use the Gemma model from the ggml-org repo on Hugging Face.
-[https://huggingface.co/ggml-org/gemma-1.1-7b-it-Q4_K_M-GGUF/resolve/main/gemma-1.1-7b-it.Q4_K_M.gguf?download=true](https://huggingface.co/ggml-org/gemma-1.1-7b-it-Q4_K_M-GGUF/resolve/main/gemma-1.1-7b-it.Q4_K_M.gguf?download=true)
-
-Once downloaded, place your model in the models folder in llama.cpp.
-
-### Unix-based systems (Linux, macOS, etc.):
-
-##### Input prompt (One-and-done)
-
-```bash
-./llama-completion -m models/gemma-1.1-7b-it.Q4_K_M.gguf -no-cnv --prompt "Once upon a time"
-```
-##### Conversation mode (Allow for continuous interaction with the model)
-
-```bash
-./llama-completion -m models/gemma-1.1-7b-it.Q4_K_M.gguf --chat-template gemma
-```
-
-##### Conversation mode using built-in jinja chat template
-
-```bash
-./llama-completion -m models/gemma-1.1-7b-it.Q4_K_M.gguf --jinja
-```
-
-##### One-and-done query using jinja with custom system prompt and a starting prompt
-
-```bash
-./llama-completion -m models/gemma-1.1-7b-it.Q4_K_M.gguf --jinja --single-turn -sys "You are a helpful assistant" -p "Hello"
-```
-
-##### Infinite text from a starting prompt (you can use `Ctrl-C` to stop it):
-```bash
-./llama-completion -m models/gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
-```
-
-### Windows:
-
-##### Input prompt (One-and-done)
-```powershell
-./llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf -no-cnv --prompt "Once upon a time"
-```
-##### Conversation mode (Allow for continuous interaction with the model)
-
-```powershell
-./llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --chat-template gemma
-```
-
-##### Conversation mode using built-in jinja chat template
-
-```powershell
-./llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --jinja
-```
-
-##### One-and-done query using jinja with custom system prompt and a starting prompt
-
-```powershell
-./llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --jinja --single-turn -sys "You are a helpful assistant" -p "Hello"
-```
-
-#### Infinite text from a starting prompt (you can use `Ctrl-C` to stop it):
-
-```powershell
-llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
-```
-
-## Usage
-
-<!-- HELP_START -->
-
-<!-- IMPORTANT: The list below is auto-generated by llama-gen-docs; do NOT modify it manually -->
-
-### Common params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `-h, --help, --usage` | print usage and exit |
-| `--version` | show version and build info |
-| `--license` | show source code license and dependencies |
-| `-cl, --cache-list` | show list of models in cache |
-| `--completion-bash` | print source-able bash completion script for llama.cpp |
-| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
-| `-t, --threads N` | number of CPU threads to use during generation (default: -1)<br/>(env: LLAMA_ARG_THREADS) |
-| `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) |
-| `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") |
-| `-Cr, --cpu-range lo-hi` | range of CPUs for affinity. Complements --cpu-mask |
-| `--cpu-strict <0\|1>` | use strict CPU placement (default: 0) |
-| `--prio N` | set process/thread priority : low(-1), normal(0), medium(1), high(2), realtime(3) (default: 0) |
-| `--poll <0...100>` | use polling level to wait for work (0 - no polling, default: 50) |
-| `-Cb, --cpu-mask-batch M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range-batch (default: same as --cpu-mask) |
-| `-Crb, --cpu-range-batch lo-hi` | ranges of CPUs for affinity. Complements --cpu-mask-batch |
-| `--cpu-strict-batch <0\|1>` | use strict CPU placement (default: same as --cpu-strict) |
-| `--prio-batch N` | set process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
-| `--poll-batch <0\|1>` | use polling to wait for work (default: same as --poll) |
-| `-c, --ctx-size N` | size of the prompt context (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE) |
-| `-n, --predict, --n-predict N` | number of tokens to predict (default: -1, -1 = infinity, -2 = until context filled)<br/>(env: LLAMA_ARG_N_PREDICT) |
-| `-b, --batch-size N` | logical maximum batch size (default: 2048)<br/>(env: LLAMA_ARG_BATCH) |
-| `-ub, --ubatch-size N` | physical maximum batch size (default: 512)<br/>(env: LLAMA_ARG_UBATCH) |
-| `--keep N` | number of tokens to keep from the initial prompt (default: 0, -1 = all) |
-| `--swa-full` | use full-size SWA cache (default: false)<br/>[(more info)](https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)<br/>(env: LLAMA_ARG_SWA_FULL) |
-| `-fa, --flash-attn [on\|off\|auto]` | set Flash Attention use ('on', 'off', or 'auto', default: 'auto')<br/>(env: LLAMA_ARG_FLASH_ATTN) |
-| `-p, --prompt PROMPT` | prompt to start generation with; for system message, use -sys |
-| `--perf, --no-perf` | whether to enable internal libllama performance timings (default: false)<br/>(env: LLAMA_ARG_PERF) |
-| `-f, --file FNAME` | a file containing the prompt (default: none) |
-| `-bf, --binary-file FNAME` | binary file containing the prompt (default: none) |
-| `-e, --escape, --no-escape` | whether to process escapes sequences (\n, \r, \t, \', \", \\) (default: true) |
-| `--rope-scaling {none,linear,yarn}` | RoPE frequency scaling method, defaults to linear unless specified by the model<br/>(env: LLAMA_ARG_ROPE_SCALING_TYPE) |
-| `--rope-scale N` | RoPE context scaling factor, expands context by a factor of N<br/>(env: LLAMA_ARG_ROPE_SCALE) |
-| `--rope-freq-base N` | RoPE base frequency, used by NTK-aware scaling (default: loaded from model)<br/>(env: LLAMA_ARG_ROPE_FREQ_BASE) |
-| `--rope-freq-scale N` | RoPE frequency scaling factor, expands context by a factor of 1/N<br/>(env: LLAMA_ARG_ROPE_FREQ_SCALE) |
-| `--yarn-orig-ctx N` | YaRN: original context size of model (default: 0 = model training context size)<br/>(env: LLAMA_ARG_YARN_ORIG_CTX) |
-| `--yarn-ext-factor N` | YaRN: extrapolation mix factor (default: -1.00, 0.0 = full interpolation)<br/>(env: LLAMA_ARG_YARN_EXT_FACTOR) |
-| `--yarn-attn-factor N` | YaRN: scale sqrt(t) or attention magnitude (default: -1.00)<br/>(env: LLAMA_ARG_YARN_ATTN_FACTOR) |
-| `--yarn-beta-slow N` | YaRN: high correction dim or alpha (default: -1.00)<br/>(env: LLAMA_ARG_YARN_BETA_SLOW) |
-| `--yarn-beta-fast N` | YaRN: low correction dim or beta (default: -1.00)<br/>(env: LLAMA_ARG_YARN_BETA_FAST) |
-| `-kvo, --kv-offload, -nkvo, --no-kv-offload` | whether to enable KV cache offloading (default: enabled)<br/>(env: LLAMA_ARG_KV_OFFLOAD) |
-| `--repack, -nr, --no-repack` | whether to enable weight repacking (default: enabled)<br/>(env: LLAMA_ARG_REPACK) |
-| `--no-host` | bypass host buffer allowing extra buffers to be used<br/>(env: LLAMA_ARG_NO_HOST) |
-| `-ctk, --cache-type-k TYPE` | KV cache data type for K<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K) |
-| `-ctv, --cache-type-v TYPE` | KV cache data type for V<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V) |
-| `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
-| `-np, --parallel N` | number of parallel sequences to decode (default: 1)<br/>(env: LLAMA_ARG_N_PARALLEL) |
-| `--mlock` | force system to keep model in RAM rather than swapping or compressing<br/>(env: LLAMA_ARG_MLOCK) |
-| `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
-| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)<br/>(env: LLAMA_ARG_DIO) |
-| `--numa TYPE` | attempt optimizations that help on some NUMA systems<br/>- distribute: spread execution evenly over all nodes<br/>- isolate: only spawn threads on CPUs on the node that execution started on<br/>- numactl: use the CPU map provided by numactl<br/>if run without this previously, it is recommended to drop the system page cache before using this<br/>see https://github.com/ggml-org/llama.cpp/issues/1437<br/>(env: LLAMA_ARG_NUMA) |
-| `-dev, --device <dev1,dev2,..>` | comma-separated list of devices to use for offloading (none = don't offload)<br/>use --list-devices to see a list of available devices<br/>(env: LLAMA_ARG_DEVICE) |
-| `--list-devices` | print list of available devices and exit |
-| `-ot, --override-tensor <tensor name pattern>=<buffer type>,...` | override tensor buffer type<br/>(env: LLAMA_ARG_OVERRIDE_TENSOR) |
-| `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU<br/>(env: LLAMA_ARG_CPU_MOE) |
-| `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU<br/>(env: LLAMA_ARG_N_CPU_MOE) |
-| `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS) |
-| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs<br/>- row: split rows across GPUs<br/>(env: LLAMA_ARG_SPLIT_MODE) |
-| `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1<br/>(env: LLAMA_ARG_TENSOR_SPLIT) |
-| `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)<br/>(env: LLAMA_ARG_MAIN_GPU) |
-| `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')<br/>(env: LLAMA_ARG_FIT) |
-| `-fitt, --fit-target MiB0,MiB1,MiB2,...` | target margin per device for --fit, comma-separated list of values, single value is broadcast across all devices, default: 1024<br/>(env: LLAMA_ARG_FIT_TARGET) |
-| `-fitc, --fit-ctx N` | minimum ctx size that can be set by --fit option, default: 4096<br/>(env: LLAMA_ARG_FIT_CTX) |
-| `--check-tensors` | check model tensor data for invalid values (default: false) |
-| `--override-kv KEY=TYPE:VALUE,...` | advanced option to override model metadata by key. to specify multiple overrides, either use comma-separated values.<br/>types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false,tokenizer.ggml.add_eos_token=bool:false |
-| `--op-offload, --no-op-offload` | whether to offload host tensor operations to device (default: true) |
-| `--lora FNAME` | path to LoRA adapter (use comma-separated values to load multiple adapters) |
-| `--lora-scaled FNAME:SCALE,...` | path to LoRA adapter with user defined scaling (format: FNAME:SCALE,...)<br/>note: use comma-separated values |
-| `--control-vector FNAME` | add a control vector<br/>note: use comma-separated values to add multiple control vectors |
-| `--control-vector-scaled FNAME:SCALE,...` | add a control vector with user defined scaling SCALE<br/>note: use comma-separated values (format: FNAME:SCALE,...) |
-| `--control-vector-layer-range START END` | layer range to apply the control vector(s) to, start and end inclusive |
-| `-m, --model FNAME` | model path to load<br/>(env: LLAMA_ARG_MODEL) |
-| `-mu, --model-url MODEL_URL` | model download url (default: unused)<br/>(env: LLAMA_ARG_MODEL_URL) |
-| `-dr, --docker-repo [<repo>/]<model>[:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.<br/>example: gemma3<br/>(default: unused)<br/>(env: LLAMA_ARG_DOCKER_REPO) |
-| `-hf, -hfr, --hf-repo <user>/<model>[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.<br/>mmproj is also downloaded automatically if available. to disable, add --no-mmproj<br/>example: unsloth/phi-4-GGUF:q4_k_m<br/>(default: unused)<br/>(env: LLAMA_ARG_HF_REPO) |
-| `-hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_HFD_REPO) |
-| `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)<br/>(env: LLAMA_ARG_HF_FILE) |
-| `-hfv, -hfrv, --hf-repo-v <user>/<model>[:quant]` | Hugging Face model repository for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_REPO_V) |
-| `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_FILE_V) |
-| `-hft, --hf-token TOKEN` | Hugging Face access token (default: value from HF_TOKEN environment variable)<br/>(env: HF_TOKEN) |
-| `--log-disable` | Log disable |
-| `--log-file FNAME` | Log to file<br/>(env: LLAMA_LOG_FILE) |
-| `--log-colors [on\|off\|auto]` | Set colored logging ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal<br/>(env: LLAMA_LOG_COLORS) |
-| `-v, --verbose, --log-verbose` | Set verbosity level to infinity (i.e. log all messages, useful for debugging) |
-| `--offline` | Offline mode: forces use of cache, prevents network access<br/>(env: LLAMA_OFFLINE) |
-| `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:<br/> - 0: generic output<br/> - 1: error<br/> - 2: warning<br/> - 3: info<br/> - 4: debug<br/>(default: 3)<br/><br/>(env: LLAMA_LOG_VERBOSITY) |
-| `--log-prefix` | Enable prefix in log messages<br/>(env: LLAMA_LOG_PREFIX) |
-| `--log-timestamps` | Enable timestamps in log messages<br/>(env: LLAMA_LOG_TIMESTAMPS) |
-| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) |
-| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) |
-
-
-### Sampling params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `--samplers SAMPLERS` | samplers that will be used for generation in the order, separated by ';'<br/>(default: penalties;dry;top_n_sigma;top_k;typ_p;top_p;min_p;xtc;temperature) |
-| `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
-| `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
-| `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
-| `--temp, --temperature N` | temperature (default: 0.80) |
-| `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
-| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
-| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
-| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
-| `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
-| `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
-| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
-| `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) |
-| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
-| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
-| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled) |
-| `--dry-multiplier N` | set DRY sampling multiplier (default: 0.00, 0.0 = disabled) |
-| `--dry-base N` | set DRY sampling base value (default: 1.75) |
-| `--dry-allowed-length N` | set allowed length for DRY sampling (default: 2) |
-| `--dry-penalty-last-n N` | set DRY penalty for the last n tokens (default: -1, 0 = disable, -1 = context size) |
-| `--dry-sequence-breaker STRING` | add sequence breaker for DRY sampling, clearing out default breakers ('\n', ':', '"', '*') in the process; use "none" to not use any sequence breakers |
-| `--adaptive-target N` | adaptive-p: select tokens near this probability (valid range 0.0 to 1.0; negative = disabled) (default: -1.00)<br/>[(more info)](https://github.com/ggml-org/llama.cpp/pull/17927) |
-| `--adaptive-decay N` | adaptive-p: decay rate for target adaptation over time. lower values are more reactive, higher values are more stable.<br/>(valid range 0.0 to 0.99) (default: 0.90) |
-| `--dynatemp-range N` | dynamic temperature range (default: 0.00, 0.0 = disabled) |
-| `--dynatemp-exp N` | dynamic temperature exponent (default: 1.00) |
-| `--mirostat N` | use Mirostat sampling.<br/>Top K, Nucleus and Locally Typical samplers are ignored if used.<br/>(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) |
-| `--mirostat-lr N` | Mirostat learning rate, parameter eta (default: 0.10) |
-| `--mirostat-ent N` | Mirostat target entropy, parameter tau (default: 5.00) |
-| `-l, --logit-bias TOKEN_ID(+/-)BIAS` | modifies the likelihood of token appearing in the completion,<br/>i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',<br/>or `--logit-bias 15043-1` to decrease likelihood of token ' Hello' |
-| `--grammar GRAMMAR` | BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '') |
-| `--grammar-file FNAME` | file to read grammar from |
-| `-j, --json-schema SCHEMA` | JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object<br/>For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead |
-| `-jf, --json-schema-file FILE` | File containing a JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object<br/>For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead |
-| `-bs, --backend-sampling` | enable backend sampling (experimental) (default: disabled)<br/>(env: LLAMA_ARG_BACKEND_SAMPLING) |
-
-
-### Completion-specific params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `--display-prompt, --no-display-prompt` | whether to print prompt at generation (default: true) |
-| `-co, --color [on\|off\|auto]` | Colorize output to distinguish prompt and user input from generations ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal |
-| `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)<br/>(env: LLAMA_ARG_CONTEXT_SHIFT) |
-| `-sys, --system-prompt PROMPT` | system prompt to use with model (if applicable, depending on chat template) |
-| `-sysf, --system-prompt-file FNAME` | a file containing the system prompt (default: none) |
-| `-ptc, --print-token-count N` | print token count every N tokens (default: -1) |
-| `--prompt-cache FNAME` | file to cache prompt state for faster startup (default: none) |
-| `--prompt-cache-all` | if specified, saves user input and generations to cache as well |
-| `--prompt-cache-ro` | if specified, uses the prompt cache but does not update it |
-| `-r, --reverse-prompt PROMPT` | halt generation at PROMPT, return control in interactive mode |
-| `-sp, --special` | special tokens output enabled (default: false) |
-| `-cnv, --conversation, -no-cnv, --no-conversation` | whether to run in conversation mode:<br/>- does not print special tokens and suffix/prefix<br/>- interactive mode is also enabled<br/>(default: auto enabled if chat template is available) |
-| `-st, --single-turn` | run conversation for a single turn only, then exit when done<br/>will not be interactive if first turn is predefined with --prompt<br/>(default: false) |
-| `-i, --interactive` | run in interactive mode (default: false) |
-| `-if, --interactive-first` | run in interactive mode and wait for input right away (default: false) |
-| `-mli, --multiline-input` | allows you to write or paste multiple lines without ending each in '\' |
-| `--in-prefix-bos` | prefix BOS to user inputs, preceding the `--in-prefix` string |
-| `--in-prefix STRING` | string to prefix user inputs with (default: empty) |
-| `--in-suffix STRING` | string to suffix after user inputs with (default: empty) |
-| `--warmup, --no-warmup` | whether to perform warmup with an empty run (default: enabled) |
-| `-gan, --grp-attn-n N` | group-attention factor (default: 1)<br/>(env: LLAMA_ARG_GRP_ATTN_N) |
-| `-gaw, --grp-attn-w N` | group-attention width (default: 512)<br/>(env: LLAMA_ARG_GRP_ATTN_W) |
-| `--jinja, --no-jinja` | whether to use jinja template engine for chat (default: disabled)<br/>(env: LLAMA_ARG_JINJA) |
-| `--reasoning-format FORMAT` | controls whether thought tags are allowed and/or extracted from the response, and in which format they're returned; one of:<br/>- none: leaves thoughts unparsed in `message.content`<br/>- deepseek: puts thoughts in `message.reasoning_content`<br/>- deepseek-legacy: keeps `<think>` tags in `message.content` while also populating `message.reasoning_content`<br/>(default: auto)<br/>(env: LLAMA_ARG_THINK) |
-| `--reasoning-budget N` | controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)<br/>(env: LLAMA_ARG_THINK_BUDGET) |
-| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
-| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
-| `--simple-io` | use basic IO for better compatibility in subprocesses and limited consoles |
-
-<!-- HELP_END -->
-
-## Common Options
-
-In this section, we cover the most commonly used options for running the `llama-completion` program with the LLaMA models:
-
--   `-m FNAME, --model FNAME`: Specify the path to the LLaMA model file (e.g., `models/gemma-1.1-7b-it.Q4_K_M.gguf`; inferred from `--model-url` if set).
--   `-mu MODEL_URL --model-url MODEL_URL`: Specify a remote http url to download the file (e.g [https://huggingface.co/ggml-org/gemma-1.1-7b-it-Q4_K_M-GGUF/resolve/main/gemma-1.1-7b-it.Q4_K_M.gguf?download=true](https://huggingface.co/ggml-org/gemma-1.1-7b-it-Q4_K_M-GGUF/resolve/main/gemma-1.1-7b-it.Q4_K_M.gguf?download=true)).
--   `-i, --interactive`: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses.
--   `-n N, --n-predict N`: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text.
--   `-c N, --ctx-size N`: Set the size of the prompt context. The default is 4096, but if a LLaMA model was built with a longer context, increasing this value will provide better results for longer input/inference.
--   `-mli, --multiline-input`: Allows you to write or paste multiple lines without ending each in '\'
--   `-t N, --threads N`: Set the number of threads to use during generation. For optimal performance, it is recommended to set this value to the number of physical CPU cores your system has.
--   `-ngl N, --n-gpu-layers N`: When compiled with GPU support, this option allows offloading some layers to the GPU for computation. Generally results in increased performance.
-
-## Input Prompts
-
-The `llama-completion` program provides several ways to interact with the LLaMA models using input prompts:
-
--   `--prompt PROMPT`: Provide a prompt directly as a command-line option.
--   `--file FNAME`: Provide a file containing a prompt or multiple prompts.
--   `--system-prompt PROMPT`: Provide a system prompt (will otherwise use the default one in the chat template (if provided)).
--   `--system-prompt-file FNAME`: Provide a file containing a system prompt.
--   `--interactive-first`: Run the program in interactive mode and wait for input right away. (More on this below.)
-
-## Interaction
-
-The `llama-completion` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
-
-In interactive mode, users can participate in text generation by injecting their input during the process. Users can press `Ctrl+C` at any time to interject and type their input, followed by pressing `Return` to submit it to the LLaMA model. To submit additional lines without finalizing input, users can end the current line with a backslash (`\`) and continue typing.
-
-### Interaction Options
-
--   `-i, --interactive`: Run the program in interactive mode, allowing users to engage in real-time conversations or provide specific instructions to the model.
--   `--interactive-first`: Run the program in interactive mode and immediately wait for user input before starting the text generation.
--   `-cnv,  --conversation`:  Run the program in conversation mode (does not print special tokens and suffix/prefix, use default or provided chat template) (default: true if chat template found)
--   `-no-cnv`:  Disable conversation mode (default: false)
--   `-st, --single-turn`:  Only process a single conversation turn (user input) and then exit.
--   `--jinja`:  Enable jinja chat template parser, will use the model's built-in template or a user-provided one (default: false)
--   `--color`: Enable colorized output to differentiate visually distinguishing between prompts, user input, and generated text.
-
-By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs.
-
-### Reverse Prompts
-
-Reverse prompts are a powerful way to create a chat-like experience with a LLaMA model by pausing the text generation when specific text strings are encountered:
-
--   `-r PROMPT, --reverse-prompt PROMPT`: Specify one or multiple reverse prompts to pause text generation and switch to interactive mode. For example, `-r "User:"` can be used to jump back into the conversation whenever it's the user's turn to speak. This helps create a more interactive and conversational experience. However, the reverse prompt doesn't work when it ends with a space.
-
-To overcome this limitation, you can use the `--in-prefix` flag to add a space or any other characters after the reverse prompt.
-
-### In-Prefix
-
-The `--in-prefix` flag is used to add a prefix to your input, primarily, this is used to insert a space after the reverse prompt. Here's an example of how to use the `--in-prefix` flag in conjunction with the `--reverse-prompt` flag:
-
-```sh
-./llama-completion -r "User:" --in-prefix " "
-```
-
-### In-Suffix
-
-The `--in-suffix` flag is used to add a suffix after your input. This is useful for adding an "Assistant:" prompt after the user's input. It's added after the new-line character (`\n`) that's automatically added to the end of the user's input. Here's an example of how to use the `--in-suffix` flag in conjunction with the `--reverse-prompt` flag:
-
-```sh
-./llama-completion -r "User:" --in-prefix " " --in-suffix "Assistant:"
-```
-When --in-prefix or --in-suffix options are enabled the chat template ( --chat-template ) is disabled
-
-### Chat templates
-
- `--chat-template JINJA_TEMPLATE`: This option sets a custom jinja chat template. It accepts a string, not a file name.  Default: template taken from model's metadata. Llama.cpp only supports [some pre-defined templates](https://github.com/ggml-org/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template). These include llama2, llama3, gemma, monarch, chatml, orion, vicuna, vicuna-orca, deepseek, command-r, zephyr. When --in-prefix or --in-suffix options are enabled the chat template ( --chat-template ) is disabled.
-
- Example usage: `--chat-template gemma`
-
-`--chat-template-file FNAME`:  Load a custom jinja chat template from an external file, useful if the model contains outdated or incompatible template, some examples can be found in models/templates. Up-to-date chat templates can be downloaded from Hugging Face using scripts/get_chat_template.py
-
-## Context Management
-
-During text generation, LLaMA models have a limited context size, which means they can only consider a certain number of tokens from the input and generated text. When the context fills up, the model resets internally, potentially losing some information from the beginning of the conversation or instructions. Context management options help maintain continuity and coherence in these situations.
-
-### Context Size
-
-- `-c N, --ctx-size N`: Set the size of the prompt context (default: 4096, 0 = loaded from model). If a LLaMA model was built with a longer context, increasing this value will yield the best results on longer input/inference.
-
-### Extended Context Size
-
-Some fine-tuned models have extended the context length by scaling RoPE. For example, if the original pre-trained model has a context length (max sequence length) of 4096 (4k) and the fine-tuned model has 32k. That is a scaling factor of 8, and should work by setting the above `--ctx-size` to 32768 (32k) and `--rope-scale` to 8.
-
--   `--rope-scale N`: Where N is the linear scaling factor used by the fine-tuned model.
-
-### Keep Prompt
-
-The `--keep` option allows users to retain the original prompt when the model runs out of context, ensuring a connection to the initial instruction or conversation topic is maintained.
-
--   `--keep N`: Specify the number of tokens from the initial prompt to retain when the model resets its internal context. By default, this value is set to 0 (meaning no tokens are kept). Use `-1` to retain all tokens from the initial prompt.
-
-By utilizing context management options like `--ctx-size` and `--keep`, you can maintain a more coherent and consistent interaction with the LLaMA models, ensuring that the generated text remains relevant to the original prompt or conversation.
-
-## Generation Flags
-
-The following options allow you to control the text generation process and fine-tune the diversity, creativity, and quality of the generated text according to your needs. By adjusting these options and experimenting with different combinations of values, you can find the best settings for your specific use case.
-
-### Number of Tokens to Predict
-
--   `-n N, --predict N`: Set the number of tokens to predict when generating text (default: -1, -1 = infinity, -2 = until context filled)
-
-The `--predict` option controls the number of tokens the model generates in response to the input prompt. By adjusting this value, you can influence the length of the generated text. A higher value will result in longer text, while a lower value will produce shorter text.
-
-A value of -1 will enable infinite text generation, even though we have a finite context window. When the context window is full, some of the earlier tokens (half of the tokens after `--keep`) will be discarded. The context must then be re-evaluated before generation can resume. On large models and/or large context windows, this will result in a significant pause in output.
-
-If the pause is undesirable, a value of -2 will stop generation immediately when the context is filled.
-
-The `--no-context-shift` option allows you to stop the infinite text generation once the finite context window is full.
-
-It is important to note that the generated text may be shorter than the specified number of tokens if an End-of-Sequence (EOS) token or a reverse prompt is encountered. In interactive mode, text generation will pause and control will be returned to the user. In non-interactive mode, the program will end. In both cases, the text generation may stop before reaching the specified `--predict` value. If you want the model to keep going without ever producing End-of-Sequence on its own, you can use the `--ignore-eos` parameter.
-
-### Temperature
-
--   `--temp N`: Adjust the randomness of the generated text (default: 0.8).
-
-Temperature is a hyperparameter that controls the randomness of the generated text. It affects the probability distribution of the model's output tokens. A higher temperature (e.g., 1.5) makes the output more random and creative, while a lower temperature (e.g., 0.5) makes the output more focused, deterministic, and conservative. The default value is 0.8, which provides a balance between randomness and determinism. At the extreme, a temperature of 0 will always pick the most likely next token, leading to identical outputs in each run.
-
-Example usage: `--temp 0`
-
-### Repeat Penalty
-
--   `--repeat-penalty N`: Control the repetition of token sequences in the generated text default: 1.0, 1.0 = disabled).
--   `--repeat-last-n N`: Last n tokens to consider for penalizing repetition (default: 64, 0 = disabled, -1 = ctx-size).
-
-The `repeat-penalty` option helps prevent the model from generating repetitive or monotonous text. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. The default value is 1.
-
-The `repeat-last-n` option controls the number of tokens in the history to consider for penalizing repetition. A larger value will look further back in the generated text to prevent repetitions, while a smaller value will only consider recent tokens. A value of 0 disables the penalty, and a value of -1 sets the number of tokens considered equal to the context size (`ctx-size`).
-
-### DRY Repetition Penalty
-
-DRY (Don't Repeat Yourself) sampling is an effective technique for reducing repetition in generated text even across long contexts by penalizing tokens based on their recent usage patterns (original [PR link](https://github.com/oobabooga/text-generation-webui/pull/5677)).
-
-- `--dry-multiplier N`: Set the DRY sampling multiplier (default: 0.0, 0.0 = disabled).
-- `--dry-base N`: Set the DRY sampling base value (default: 1.75).
-- `--dry-allowed-length N`: Set the allowed length for DRY sampling (default: 2).
-- `--dry-penalty-last-n N`: Set DRY penalty for the last n tokens (default: -1, 0 = disable, -1 = context size).
-- `--dry-sequence-breaker STRING`: Add a sequence breaker for DRY sampling. Can be used more than once to add multiple sequence breakers. Using this clears out the default breakers, which consist of: `['\n', ':', '"', '*']`. If the string `"none"` is supplied, no sequence breakers are used.
-
-The `dry-multiplier` option controls the strength of the DRY sampling effect. A value of 0.0 disables DRY sampling, while higher values increase its influence. A typical recommended value is 0.8.
-
-The `dry-base` option sets the base value for the exponential penalty calculation in DRY sampling. Higher values lead to more aggressive penalization of repetitions.
-
-The `dry-allowed-length` option sets the maximum length of repeated sequences that will not be penalized. Repetitions shorter than or equal to this length are not penalized, allowing for natural repetitions of short phrases or common words.
-
-The `dry-penalty-last-n` option controls how many recent tokens to consider when applying the DRY penalty. A value of -1 considers the entire context. Use a positive value to limit the consideration to a specific number of recent tokens.
-
-The `dry-sequence-breaker` option adds a single sequence breaker and can be used more than once to specify multiple sequence breakers. Sequence breakers interrupt sequence matching and break the input into parts where matching can be applied.
-
-DRY sampling provides more nuanced control over text generation, particularly for reducing long-range repetitions and maintaining global coherence.
-
-Example usage: `--dry-multiplier 0.8 --dry-base 1.75 --dry-allowed-length 2 --dry-penalty-last-n -1 --dry-sequence-breaker "—" --dry-sequence-breaker "##"`
-
-### Top-K Sampling
-
--   `--top-k N`: Limit the next token selection to the K most probable tokens (default: 40).
-
-Top-k sampling is a text generation method that selects the next token only from the top k most likely tokens predicted by the model. It helps reduce the risk of generating low-probability or nonsensical tokens, but it may also limit the diversity of the output. A higher value for top-k (e.g., 100) will consider more tokens and lead to more diverse text, while a lower value (e.g., 10) will focus on the most probable tokens and generate more conservative text. The default value is 40.
-
-Example usage: `--top-k 30`
-
-### Top-P Sampling
-
--   `--top-p N`: Limit the next token selection to a subset of tokens with a cumulative probability above a threshold P (default: 0.9).
-
-Top-p sampling, also known as nucleus sampling, is another text generation method that selects the next token from a subset of tokens that together have a cumulative probability of at least p. This method provides a balance between diversity and quality by considering both the probabilities of tokens and the number of tokens to sample from. A higher value for top-p (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. The default value is 0.9.
-
-Example usage: `--top-p 0.95`
-
-### Min-P Sampling
-
--   `--min-p N`: Sets a minimum base probability threshold for token selection (default: 0.1).
-
-The Min-P sampling method was designed as an alternative to Top-P, and aims to ensure a balance of quality and variety. The parameter *p* represents the minimum probability for a token to be considered, relative to the probability of the most likely token. For example, with *p*=0.05 and the most likely token having a probability of 0.9, logits with a value less than 0.045 are filtered out.
-
-Example usage: `--min-p 0.05`
-
-### Adaptive-P Sampling
-
--   `--adaptive-target N`: select tokens near this probability (valid range 0.0 to 1.0; negative = disabled)
--   `--adaptive-decay N`: EMA decay for adaptation; history ≈ 1/(1-decay) tokens (valid range 0.0 - 0.99)
-
-Adaptive-P: Select tokens near a configurable target probability over time.
-
-The adaptive-p sampler transforms the token probability distribution to favor tokens that fall near a user-configurable probability target. Internally, the sampler maintains an exponential moving average of the *ORIGINAL* probabilities of selected tokens at each sampling step. It uses this EMA to compute an adapted target probability at each sampling step, thus maintaining the desired target probability over time. Only mild truncation before this sampler is recommended. It is suggested to apply min-p before adaptive-p as the only other active sampler.
-
-Recommended starting values: `--adaptive-target 0.55 --adaptive-decay 0.9`
-
-For more info, refer to: [llama.cpp#17927](https://github.com/ggml-org/llama.cpp/pull/17927)
-
-### Locally Typical Sampling
-
--   `--typical N`: Enable locally typical sampling with parameter p (default: 1.0, 1.0 = disabled).
-
-Locally typical sampling promotes the generation of contextually coherent and diverse text by sampling tokens that are typical or expected based on the surrounding context. By setting the parameter p between 0 and 1, you can control the balance between producing text that is locally coherent and diverse. A value closer to 1 will promote more contextually coherent tokens, while a value closer to 0 will promote more diverse tokens. A value equal to 1 disables locally typical sampling.
-
-Example usage: `--typical 0.9`
-
-### Mirostat Sampling
-
--   `--mirostat N`: Enable Mirostat sampling, controlling perplexity during text generation (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).
--   `--mirostat-lr N`: Set the Mirostat learning rate, parameter eta (default: 0.1).
--   `--mirostat-ent N`: Set the Mirostat target entropy, parameter tau (default: 5.0).
-
-Mirostat is an algorithm that actively maintains the quality of generated text within a desired range during text generation. It aims to strike a balance between coherence and diversity, avoiding low-quality output caused by excessive repetition (boredom traps) or incoherence (confusion traps).
-
-The `--mirostat-lr` option sets the Mirostat learning rate (eta). The learning rate influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. The default value is `0.1`.
-
-The `--mirostat-ent` option sets the Mirostat target entropy (tau), which represents the desired perplexity value for the generated text. Adjusting the target entropy allows you to control the balance between coherence and diversity in the generated text. A lower value will result in more focused and coherent text, while a higher value will lead to more diverse and potentially less coherent text. The default value is `5.0`.
-
-Example usage: `--mirostat 2 --mirostat-lr 0.05 --mirostat-ent 3.0`
-
-### XTC Sampling
-
--   `--xtc-probability N`: Sets the chance for token removal (checked once on sampler start) (default: 0.0).
--   `--xtc-threshold N`: Sets a minimum probability threshold for tokens to be removed (default: 0.1).
-
-Exclude Top Choices (XTC) is a unique sampler that is designed to remove top tokens from consideration and avoid more obvious and repetitive outputs. With a chance of `xtc-probability` it searches for tokens with probabilities of `xtc-threshold` and above, then removes all such tokens except the least probable one.
-
-By removing top tokens XTC can improve the variety of answers, break writing clichés and inhibit repetition, since clichés and repeated phrases are usually more likely to appear. By keeping the last token above the threshold, XTC ensures that the answer is still coherent. XTC is meant to be used for creative tasks, but feel free to experiment with different settings for different models.
-
-Being experimental and unique, XTC is disabled by default. The recommended combination of samplers is Min-P followed by XTC on its default settings: `--sampling-seq mx --min-p 0.02 --xtc-probability 0.5`.
-
-Example usage: `--xtc-probability 0.5 --xtc-threshold 0.1`
-
-### Top-nσ Sampling
-
--   `--top-nsigma N`: Limit the next token selection to a subset of tokens with pre-softmax logits that are within n * σ less than the max logit (default: -1, -1 = disabled).
-
-Top-nσ sampling is a text generation method that selects tokens based on a statistical threshold in pre-softmax logits. It works by only sampling from tokens with logits that are within n * σ of the maximum logit. This method helps maintain a stable sampling space regardless of temperature scaling, allowing it to perform well on reasoning tasks even in high temperatures. Without complex probability manipulation, it efficiently filters tokens directly on the pre-softmax logits. A higher value for top-nsigma (e.g., 5) will take more noisy tokens into consideration, while a lower value (e.g., 1) will focous on the more informative region of the sampling space.
-
-Example usage: `--top-nsigma 1`
-
-### Logit Bias
-
--   `-l TOKEN_ID(+/-)BIAS, --logit-bias TOKEN_ID(+/-)BIAS`: Modify the likelihood of a token appearing in the generated text completion.
-
-The logit bias option allows you to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.
-
-For example, use `--logit-bias 15043+1` to increase the likelihood of the token 'Hello', or `--logit-bias 15043-1` to decrease its likelihood. Using a value of negative infinity, `--logit-bias 15043-inf` ensures that the token `Hello` is never produced.
-
-A more practical use case might be to prevent the generation of `\code{begin}` and `\code{end}` by setting the `\` token (29905) to negative infinity with `-l 29905-inf`. (This is due to the prevalence of LaTeX codes that show up in LLaMA model inference.)
-
-Example usage: `--logit-bias 29905-inf`
-
-### RNG Seed
-
--   `-s SEED, --seed SEED`: Set the random number generator (RNG) seed (default: -1, -1 = random seed).
-
-The RNG seed is used to initialize the random number generator that influences the text generation process. By setting a specific seed value, you can obtain consistent and reproducible results across multiple runs with the same input and settings. This can be helpful for testing, debugging, or comparing the effects of different options on the generated text to see when they diverge. If the seed is set to a value less than 0, a random seed will be used, which will result in different outputs on each run.
-
-## Performance Tuning and Memory Options
-
-These options help improve the performance and memory usage of the LLaMA models. By adjusting these settings, you can fine-tune the model's behavior to better suit your system's capabilities and achieve optimal performance for your specific use case.
-
-### Number of Threads
-
--   `-t N, --threads N`: Set the number of threads to use during generation. For optimal performance, it is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). Using the correct number of threads can greatly improve performance.
--   `-tb N, --threads-batch N`: Set the number of threads to use during batch and prompt processing. In some systems, it is beneficial to use a higher number of threads during batch processing than during generation. If not specified, the number of threads used for batch processing will be the same as the number of threads used for generation.
-
-### Mlock
-
--   `--mlock`: Lock the model in memory, preventing it from being swapped out when memory-mapped. This can improve performance but trades away some of the advantages of memory-mapping by requiring more RAM to run and potentially slowing down load times as the model loads into RAM.
-
-### No Memory Mapping
-
--   `--no-mmap`: Do not memory-map the model. By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed. However, if the model is larger than your total amount of RAM or if your system is low on available memory, using mmap might increase the risk of pageouts, negatively impacting performance. Disabling mmap results in slower load times but may reduce pageouts if you're not using `--mlock`. Note that if the model is larger than the total amount of RAM, turning off mmap would prevent the model from loading at all.
-
-### NUMA support
-
--   `--numa distribute`: Pin an equal proportion of the threads to the cores on each NUMA node. This will spread the load amongst all cores on the system, utilizing all memory channels at the expense of potentially requiring memory to travel over the slow links between nodes.
--   `--numa isolate`: Pin all threads to the NUMA node that the program starts on. This limits the number of cores and amount of memory that can be used, but guarantees all memory access remains local to the NUMA node.
--   `--numa numactl`: Pin threads to the CPUMAP that is passed to the program by starting it with the numactl utility. This is the most flexible mode, and allow arbitrary core usage patterns, for example a map that uses all the cores on one NUMA nodes, and just enough cores on a second node to saturate the inter-node memory bus.
-
- These flags attempt optimizations that help on some systems with non-uniform memory access. This currently consists of one of the above strategies, and disabling prefetch and readahead for mmap. The latter causes mapped pages to be faulted in on first access instead of all at once, and in combination with pinning threads to NUMA nodes, more of the pages end up on the NUMA node where they are used. Note that if the model is already in the system page cache, for example because of a previous run without this option, this will have little effect unless you drop the page cache first. This can be done by rebooting the system or on Linux by writing '3' to '/proc/sys/vm/drop_caches' as root.
-
-### Batch Size
-
-- `-ub N`, `--ubatch-size N`: Physical batch size. This is the maximum number of tokens that may be processed at a time. Increasing this value may improve performance during prompt processing, at the expense of higher memory usage. Default: `512`.
-
-- `-b N`, `--batch-size N`: Logical batch size. Increasing this value above the value of the physical batch size may improve prompt processing performance when using multiple GPUs with pipeline parallelism. Default: `2048`.
-
-### Prompt Caching
-
--   `--prompt-cache FNAME`: Specify a file to cache the model state after the initial prompt. This can significantly speed up the startup time when you're using longer prompts. The file is created during the first run and is reused and updated in subsequent runs. **Note**: Restoring a cached prompt does not imply restoring the exact state of the session at the point it was saved. So even when specifying a specific seed, you are not guaranteed to get the same sequence of tokens as the original generation.
-
-### Grammars & JSON schemas
-
--   `--grammar GRAMMAR`, `--grammar-file FILE`: Specify a grammar (defined inline or in a file) to constrain model output to a specific format. For example, you could force the model to output JSON or to speak only in emojis. See the [GBNF guide](../../grammars/README.md) for details on the syntax.
-
--   `--json-schema SCHEMA`: Specify a [JSON schema](https://json-schema.org/) to constrain model output to (e.g. `{}` for any JSON object, or `{"items": {"type": "string", "minLength": 10, "maxLength": 100}, "minItems": 10}` for a JSON array of strings with size constraints). If a schema uses external `$ref`s, you should use `--grammar "$( python examples/json_schema_to_grammar.py myschema.json )"` instead.
-
-### Quantization
-
-For information about 4-bit quantization, which can significantly improve performance and reduce memory usage, please refer to llama.cpp's primary [README](../../README.md#prepare-and-quantize).
-
-## LoRA (Low-Rank Adaptation) adapters
-
--   `--lora FNAME`: Optional path to a LoRA adapter to use with scaling of 1.0. Can be mixed with `--lora-scaled` and can be repeated to use multiple adapters.
--   `--lora-scaled FNAME`: Optional path to a LoRA adapter with user-defined scaling. Can be mixed with `--lora` and can repeated to use multiple adapters.
-
-You can add LoRA adapters using `--lora` or `--lora-scaled`. For example: `--lora my_adapter_1.gguf --lora my_adapter_2.gguf ...` or `--lora-scaled lora_task_A.gguf 0.5 --lora-scaled lora_task_B.gguf 0.5`.
-
-LoRA adapters should be in GGUF format. To convert from Hugging Face format use the `convert-lora-to-gguf.py` script. LoRA adapters are loaded separately and applied during inference - they are not merged with the main model. This means that mmap model loading is fully supported when using LoRA adapters. The old `--lora-base` flag has been removed now that merging is no longer performed.
-
-## Additional Options
-
-These options provide extra functionality and customization when running the LLaMA models:
-
--   `-h, --help`: Display a help message showing all available options and their default values. This is particularly useful for checking the latest options and default values, as they can change frequently, and the information in this document may become outdated.
--   `--verbose-prompt`: Print the prompt before generating text.
--   `--no-display-prompt`: Don't print prompt at generation.
--   `-mg i, --main-gpu i`: When using multiple GPUs this option controls which GPU is used for small tensors for which the overhead of splitting the computation across all GPUs is not worthwhile. The GPU in question will use slightly more VRAM to store a scratch buffer for temporary results. By default GPU 0 is used.
--   `-ts SPLIT, --tensor-split SPLIT`: When using multiple devices this option controls how tensors should be split across devices. `SPLIT` is a comma-separated list of non-negative values that assigns the proportion of data that each device should get in order. For example, "3,2" will assign 60% of the data to device 0 and 40% to device 1. By default, the data is split in proportion to VRAM, but this may not be optimal for performance. The list of the devices which are being used is printed on startup and can be different from the device list given by `--list-devices` or e.g. `nvidia-smi`.
--   `-hfr URL --hf-repo URL`: The url to the Hugging Face model repository. Used in conjunction with `--hf-file` or `-hff`. The model is downloaded and stored in the file provided by `-m` or `--model`. If `-m` is not provided, the model is auto-stored in the path specified by the `LLAMA_CACHE` environment variable  or in an OS-specific local cache.
+version https://git-lfs.github.com/spec/v1
+oid sha256:079fd0bbde26a28000a3c49168fadcd9d6f99726aa56162602ff069e0b66f309
+size 56605
diff --git a/tools/completion/completion.cpp b/tools/completion/completion.cpp
index 58d598fcc07801684c3eb37b3a8dedfa70a193fc..1dc5df1afa210dd5bc03b2c10103d80649ceba94 100644
--- a/tools/completion/completion.cpp
+++ b/tools/completion/completion.cpp
@@ -90,12 +90,12 @@ int main(int argc, char ** argv) {
     common_params params;
     g_params = &params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMPLETION, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     auto & sparams = params.sampling;
 
     // save choice to use color for later
@@ -695,7 +695,7 @@ int main(int argc, char ** argv) {
                 if (!common_prompt_batch_decode(ctx, embd, n_past, params.n_batch, path_session, save_now)) {
                     return 1;
                 }
-                session_tokens.insert(session_tokens.end(), embd.begin(), embd.begin());
+                session_tokens.insert(session_tokens.end(), embd.begin(), embd.end());
                 n_session_consumed = session_tokens.size();
                 session_do_save = false;
 
diff --git a/tools/cvector-generator/CMakeLists.txt b/tools/cvector-generator/CMakeLists.txt
index baeb4d00c142a5ef0345d5dcda632fabf586236e..fffab1adb73c8fabaf3653a5bd165273a1a9be1b 100644
--- a/tools/cvector-generator/CMakeLists.txt
+++ b/tools/cvector-generator/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-cvector-generator)
-add_executable(${TARGET} cvector-generator.cpp pca.hpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:991cf6cd9792f0751a95a9d5ca80bbaa95c8165a289cafb393a5311eab420976
+size 312
diff --git a/tools/cvector-generator/cvector-generator.cpp b/tools/cvector-generator/cvector-generator.cpp
index dcce0e98418b320ce1032d4115b3f0ae78a27da4..8c6b3d868d298000a817276a43567b3143a1dea4 100644
--- a/tools/cvector-generator/cvector-generator.cpp
+++ b/tools/cvector-generator/cvector-generator.cpp
@@ -2,6 +2,7 @@
 #include "gguf.h"
 
 #include "arg.h"
+#include "build-info.h"
 #include "common.h"
 #include "llama.h"
 #include "pca.hpp"
@@ -400,6 +401,8 @@ int main(int argc, char ** argv) {
 
     params.out_file = "control_vector.gguf";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_CVECTOR_GENERATOR, print_usage)) {
         return 1;
     }
@@ -418,7 +421,7 @@ int main(int argc, char ** argv) {
     params.cb_eval_user_data = &cb_data;
     params.warmup = false;
 
-    print_build_info();
+    llama_print_build_info();
     llama_backend_init();
     llama_numa_init(params.numa);
 
diff --git a/tools/export-lora/CMakeLists.txt b/tools/export-lora/CMakeLists.txt
index cddfa77f02b00e75e906d1b5a382313e7ffdf427..923edca5aaae5e292ab2585e39a03a638706cb67 100644
--- a/tools/export-lora/CMakeLists.txt
+++ b/tools/export-lora/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-export-lora)
-add_executable(${TARGET} export-lora.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad766ac371536d2903aa15895a13d7830b6391e63172b4d77c405b93723a00c2
+size 292
diff --git a/tools/export-lora/export-lora.cpp b/tools/export-lora/export-lora.cpp
index 50774c59baee94ea607feb81ccf6cf113ca73bb1..e1bc4a2f3152dd1a538ead4de85d86cbe0929856 100644
--- a/tools/export-lora/export-lora.cpp
+++ b/tools/export-lora/export-lora.cpp
@@ -418,6 +418,8 @@ int main(int argc, char ** argv) {
 
     params.out_file = "ggml-lora-merged-f16.gguf";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_LORA, print_usage)) {
         return 1;
     }
diff --git a/tools/fit-params/CMakeLists.txt b/tools/fit-params/CMakeLists.txt
index 34c3373f83c04a950f416a5967fd4add5d3d5cce..7a2617428371aa76db109ebd875c0cb1e8ee30a7 100644
--- a/tools/fit-params/CMakeLists.txt
+++ b/tools/fit-params/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-fit-params)
-add_executable(${TARGET} fit-params.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:a32483a9c30cadbb99d12e432aecc8a91754468aa2d08dc1ddcb6e0647167b9e
+size 290
diff --git a/tools/fit-params/fit-params.cpp b/tools/fit-params/fit-params.cpp
index 0176be06e78f992772fec20364f0f3e93169de7d..bcdf440401674785392012139ee830c45b09d8f7 100644
--- a/tools/fit-params/fit-params.cpp
+++ b/tools/fit-params/fit-params.cpp
@@ -1,14 +1,12 @@
 #include "llama.h"
+#include "../src/llama-ext.h"
 
 #include "arg.h"
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 
-#include <chrono>
 #include <cinttypes>
-#include <thread>
-
-using namespace std::chrono_literals;
 
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
@@ -17,50 +15,60 @@ using namespace std::chrono_literals;
 int main(int argc, char ** argv) {
     common_params params;
 
-    if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
+    common_init();
+
+    if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_FIT_PARAMS)) {
         return 1;
     }
 
-    common_init();
     llama_backend_init();
     llama_numa_init(params.numa);
+
     auto mparams = common_model_params_to_llama(params);
     auto cparams = common_context_params_to_llama(params);
-    const llama_params_fit_status status = llama_params_fit(params.model.path.c_str(), &mparams, &cparams,
-        params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
-        params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
-    if (status != LLAMA_PARAMS_FIT_STATUS_SUCCESS) {
-        LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
-        exit(1);
-    }
 
-    LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__);
-    common_log_flush(common_log_main());
-    printf("-c %" PRIu32 " -ngl %" PRIi32, cparams.n_ctx, mparams.n_gpu_layers);
+    if (!params.fit_params_print) {
+        const common_params_fit_status status = common_fit_params(params.model.path.c_str(), &mparams, &cparams,
+                params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
+                params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
+        if (status != COMMON_PARAMS_FIT_STATUS_SUCCESS) {
+            LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
+            exit(1);
+        }
 
-    size_t nd = llama_max_devices();
-    while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) {
-        nd--;
-    }
-    if (nd > 1) {
-        for (size_t id = 0; id < nd; id++) {
-            if (id == 0) {
-                printf(" -ts ");
+        LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__);
+        common_log_flush(common_log_main());
+        printf("-c %" PRIu32 " -ngl %" PRIi32, cparams.n_ctx, mparams.n_gpu_layers);
+
+        size_t nd = llama_max_devices();
+        while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) {
+            nd--;
+        }
+        if (nd > 1) {
+            for (size_t id = 0; id < nd; id++) {
+                if (id == 0) {
+                    printf(" -ts ");
+                }
+                printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id]));
             }
-            printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id]));
         }
-    }
 
-    const size_t ntbo = llama_max_tensor_buft_overrides();
-    bool any_tbo = false;
-    for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) {
-        if (itbo == 0) {
-            printf(" -ot \"");
+        const size_t ntbo = llama_max_tensor_buft_overrides();
+        bool any_tbo = false;
+        for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) {
+            if (itbo == 0) {
+                printf(" -ot \"");
+            }
+            printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft));
+            any_tbo = true;
         }
-        printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft));
-        any_tbo = true;
+        printf("%s\n", any_tbo ? "\"" : "");
+    } else {
+        LOG_INF("%s: printing estimated memory in MiB to stdout (device, model, context, compute) ...\n", __func__);
+        common_log_flush(common_log_main());
+
+        common_fit_print(params.model.path.c_str(), &mparams, &cparams);
     }
-    printf("%s\n", any_tbo ? "\"" : "");
 
     return 0;
 }
diff --git a/tools/gguf-split/CMakeLists.txt b/tools/gguf-split/CMakeLists.txt
index 9b2125087c5ee8d78a2ff1aec83883167b150c14..cb5bd1a735abe8d48591bb42898dab51a4b4d951 100644
--- a/tools/gguf-split/CMakeLists.txt
+++ b/tools/gguf-split/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-gguf-split)
-add_executable(${TARGET} gguf-split.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb23b6f87862bec10d01c9cefad6daeacd35586eb27aa6d42fdf87a36580f146
+size 290
diff --git a/tools/gguf-split/README.md b/tools/gguf-split/README.md
index ad1d86651b46df48b420d0f2054b5795b0df8edb..a0929b498e258bdb5b5b49316227523ce8f1fd02 100644
--- a/tools/gguf-split/README.md
+++ b/tools/gguf-split/README.md
@@ -1,10 +1,3 @@
-## GGUF split Example
-
-CLI to split / merge GGUF files.
-
-**Command line options:**
-
-- `--split`: split GGUF to multiple GGUF, default operation.
-- `--split-max-size`: max size per split in `M` or `G`, f.ex. `500M` or `2G`.
-- `--split-max-tensors`: maximum tensors in each split: default(128)
-- `--merge`: merge multiple GGUF to a single GGUF.
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6a196a831eede2b617dbf152f803d71511b8cfc3e7f713cd9f929592699c6be
+size 515
diff --git a/tools/gguf-split/gguf-split.cpp b/tools/gguf-split/gguf-split.cpp
index f99f0299b9c1014ddd88e89204dde728bda74120..8a6b5c198b217ab858b65f1b680b945ef62e554b 100644
--- a/tools/gguf-split/gguf-split.cpp
+++ b/tools/gguf-split/gguf-split.cpp
@@ -1,8 +1,11 @@
-#include "ggml.h"
-#include "gguf.h"
 #include "llama.h"
+
+#include "build-info.h"
 #include "common.h"
 
+#include "ggml.h"
+#include "gguf.h"
+
 #include <algorithm>
 #include <cinttypes>
 #include <climits>
@@ -101,8 +104,8 @@ static void split_params_parse_ex(int argc, const char ** argv, split_params & p
             split_print_usage(argv[0]);
             exit(0);
         } else if (arg == "--version") {
-            fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
-            fprintf(stderr, "built with %s for %s\n", LLAMA_COMPILER, LLAMA_BUILD_TARGET);
+            fprintf(stderr, "version: %d (%s)\n", llama_build_number(), llama_commit());
+            fprintf(stderr, "built with %s for %s\n", llama_compiler(), llama_build_target());
             exit(0);
         } else if (arg == "--dry-run") {
             arg_found = true;
diff --git a/tools/imatrix/CMakeLists.txt b/tools/imatrix/CMakeLists.txt
index 5af6263f9851d33ba66ef5384de6fb8ecd258554..d1c138d44809fd3152f6d7b3c8635fdc95ae1493 100644
--- a/tools/imatrix/CMakeLists.txt
+++ b/tools/imatrix/CMakeLists.txt
@@ -1,13 +1,3 @@
-set(TARGET llama-imatrix)
-add_executable(${TARGET} imatrix.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
-
-if (CMAKE_SYSTEM_NAME MATCHES "AIX")
-    # AIX's flock() function comes from libbsd.a
-    target_link_libraries(${TARGET} PRIVATE -lbsd)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e347d2633bffc86619e01d837f2936981bb0a8db37fcd522765027ebfcf7de2
+size 435
diff --git a/tools/imatrix/imatrix.cpp b/tools/imatrix/imatrix.cpp
index bbedb159cd42b3f681a9b570912c8ab484dbf6e5..3f7f3a11dfa3ad4535ad0c9e521cfc04f3a9a649 100644
--- a/tools/imatrix/imatrix.cpp
+++ b/tools/imatrix/imatrix.cpp
@@ -143,11 +143,20 @@ static void compute_statistics(std::vector<tensor_statistics> & tstats, const st
     activations.reserve(e.values.size());
 
     for (int i = 0; i < n_mat; ++i) {
+        if (e.counts[i] == 0) {
+            LOG_DBG("%s: skipping tensor %s due to zero count at index %d\n", __func__, name.c_str(), i);
+            continue;
+        }
         for (int j = 0; j < row_size; ++j) {
             activations.push_back(e.values[i*row_size + j] / e.counts[i]);
         }
     }
 
+    if (activations.empty()) {
+        LOG_ERR("%s: all counts are zero for tensor %s, skipping statistics computation\n", __func__, name.c_str());
+        return;
+    }
+
     const float act_total     = std::accumulate(activations.begin(), activations.end(), 0.0f);
     const float act_max       = *std::max_element(activations.begin(), activations.end());
     const float act_min       = *std::min_element(activations.begin(), activations.end());
@@ -1142,10 +1151,12 @@ static bool show_statistics(const common_params & params) {
             blk = -1;  // not a block layer
         }
 
+        const float entropy_norm = (tstat.elements > 0) ? 100.0f * (tstat.entropy / std::log2(tstat.elements)) : 0.0f;
+
         LOG_INF("%5s\t%-20s\t%10.2f\t%8.4f\t%11.4f\t%6.2f\t%6.2f\t%8.2f%%\t%6d\t%10.4f\t%6.2f%%\t%10.2f%%\t%8.4f\n",
                 layer.c_str(), name.c_str(), tstat.total_sqract, tstat.min_sqract, tstat.max_sqract, tstat.mean_sqract,
                 tstat.stddev, tstat.active * 100.0f, tstat.elements, tstat.entropy,
-                100.0f * (tstat.entropy / std::log2(tstat.elements)), 100.0f * tstat.zd, tstat.cossim);
+                entropy_norm, 100.0f * tstat.zd, tstat.cossim);
 
         const float weighted_bias   = tstat.elements * tstat.total_sqract;
         const float weighted_zd     = tstat.elements * tstat.zd;
@@ -1201,6 +1212,8 @@ int main(int argc, char ** argv) {
     params.n_ctx = 512;
     params.escape = false;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_IMATRIX, print_usage)) {
         return 1;
     }
@@ -1212,8 +1225,6 @@ int main(int argc, char ** argv) {
         return 0;
     }
 
-    common_init();
-
     const int32_t n_ctx = params.n_ctx;
 
     if (n_ctx <= 0) {
diff --git a/tools/llama-bench/CMakeLists.txt b/tools/llama-bench/CMakeLists.txt
index b8543a9692f5d86bbd1cf6c197e56695d2d3844f..1e5ec956288ee4d2a96fad4dd25b789c40b6255b 100644
--- a/tools/llama-bench/CMakeLists.txt
+++ b/tools/llama-bench/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-bench)
-add_executable(${TARGET} llama-bench.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:c362e315a326759f8edecac771169f2d3748c4e7ff826467c2de3d5a9137247f
+size 286
diff --git a/tools/llama-bench/README.md b/tools/llama-bench/README.md
index c837bb6d2686b6e96e2343eb052cc3bc727b608f..90874148056537ae6b62d388aa6c973a2c94bc73 100644
--- a/tools/llama-bench/README.md
+++ b/tools/llama-bench/README.md
@@ -1,349 +1,3 @@
-# llama.cpp/tools/llama-bench
-
-Performance testing tool for llama.cpp.
-
-## Table of contents
-
-1. [Syntax](#syntax)
-2. [Examples](#examples)
-    1. [Text generation with different models](#text-generation-with-different-models)
-    2. [Prompt processing with different batch sizes](#prompt-processing-with-different-batch-sizes)
-    3. [Different numbers of threads](#different-numbers-of-threads)
-    4. [Different numbers of layers offloaded to the GPU](#different-numbers-of-layers-offloaded-to-the-gpu)
-3. [Output formats](#output-formats)
-    1. [Markdown](#markdown)
-    2. [CSV](#csv)
-    3. [JSON](#json)
-    4. [JSONL](#jsonl)
-    5. [SQL](#sql)
-
-## Syntax
-
-```
-usage: llama-bench [options]
-
-options:
-  -h, --help
-  --numa <distribute|isolate|numactl>       numa mode (default: disabled)
-  -r, --repetitions <n>                     number of times to repeat each test (default: 5)
-  --prio <0|1|2|3>                          process/thread priority (default: 0)
-  --delay <0...N> (seconds)                 delay between each test (default: 0)
-  -o, --output <csv|json|jsonl|md|sql>      output format printed to stdout (default: md)
-  -oe, --output-err <csv|json|jsonl|md|sql> output format printed to stderr (default: none)
-  --list-devices                            list available devices and exit
-  -v, --verbose                             verbose output
-  --progress                                print test progress indicators
-  -rpc, --rpc <rpc_servers>                 register RPC devices (comma separated)
-
-test parameters:
-  -m, --model <filename>                    (default: models/7B/ggml-model-q4_0.gguf)
-  -p, --n-prompt <n>                        (default: 512)
-  -n, --n-gen <n>                           (default: 128)
-  -pg <pp,tg>                               (default: )
-  -d, --n-depth <n>                         (default: 0)
-  -b, --batch-size <n>                      (default: 2048)
-  -ub, --ubatch-size <n>                    (default: 512)
-  -ctk, --cache-type-k <t>                  (default: f16)
-  -ctv, --cache-type-v <t>                  (default: f16)
-  -t, --threads <n>                         (default: system dependent)
-  -C, --cpu-mask <hex,hex>                  (default: 0x0)
-  --cpu-strict <0|1>                        (default: 0)
-  --poll <0...100>                          (default: 50)
-  -ngl, --n-gpu-layers <n>                  (default: 99)
-  -ncmoe, --n-cpu-moe <n>                   (default: 0)
-  -sm, --split-mode <none|layer|row>        (default: layer)
-  -mg, --main-gpu <i>                       (default: 0)
-  -nkvo, --no-kv-offload <0|1>              (default: 0)
-  -fa, --flash-attn <0|1>                   (default: 0)
-  -dev, --device <dev0/dev1/...>            (default: auto)
-  -mmp, --mmap <0|1>                        (default: 1)
-  -embd, --embeddings <0|1>                 (default: 0)
-  -ts, --tensor-split <ts0/ts1/..>          (default: 0)
-  -ot --override-tensors <tensor name pattern>=<buffer type>;...
-                                            (default: disabled)
-  -nopo, --no-op-offload <0|1>              (default: 0)
-
-Multiple values can be given for each parameter by separating them with ','
-or by specifying the parameter multiple times. Ranges can be given as
-'first-last' or 'first-last+step' or 'first-last*mult'.
-```
-
-llama-bench can perform three types of tests:
-
-- Prompt processing (pp): processing a prompt in batches (`-p`)
-- Text generation (tg): generating a sequence of tokens (`-n`)
-- Prompt processing + text generation (pg): processing a prompt followed by generating a sequence of tokens (`-pg`)
-
-With the exception of `-r`, `-o` and `-v`, all options can be specified multiple times to run multiple tests. Each pp and tg test is run with all combinations of the specified options. To specify multiple values for an option, the values can be separated by commas (e.g. `-n 16,32`), or the option can be specified multiple times (e.g. `-n 16 -n 32`).
-
-Each test is repeated the number of times given by `-r`, and the results are averaged. The results are given in average tokens per second (t/s) and standard deviation. Some output formats (e.g. json) also include the individual results of each repetition.
-
-Using the `-d <n>` option, each test can be run at a specified context depth, prefilling the KV cache with `<n>` tokens.
-
-For a description of the other options, see the [completion example](../completion/README.md).
-
-> [!NOTE]
-> The measurements with `llama-bench` do not include the times for tokenization and for sampling.
-
-## Examples
-
-### Text generation with different models
-
-```sh
-$ ./llama-bench -m models/7B/ggml-model-q4_0.gguf -m models/13B/ggml-model-q4_0.gguf -p 0 -n 128,256,512
-```
-
-| model                          |       size |     params | backend    | ngl | test       |              t/s |
-| ------------------------------ | ---------: | ---------: | ---------- | --: | ---------- | ---------------: |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 | tg 128     |    132.19 ± 0.55 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 | tg 256     |    129.37 ± 0.54 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 | tg 512     |    123.83 ± 0.25 |
-| llama 13B mostly Q4_0          |   6.86 GiB |    13.02 B | CUDA       |  99 | tg 128     |     82.17 ± 0.31 |
-| llama 13B mostly Q4_0          |   6.86 GiB |    13.02 B | CUDA       |  99 | tg 256     |     80.74 ± 0.23 |
-| llama 13B mostly Q4_0          |   6.86 GiB |    13.02 B | CUDA       |  99 | tg 512     |     78.08 ± 0.07 |
-
-### Prompt processing with different batch sizes
-
-```sh
-$ ./llama-bench -n 0 -p 1024 -b 128,256,512,1024
-```
-
-| model                          |       size |     params | backend    | ngl |    n_batch | test       |              t/s |
-| ------------------------------ | ---------: | ---------: | ---------- | --: | ---------: | ---------- | ---------------: |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 |        128 | pp 1024    |   1436.51 ± 3.66 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 |        256 | pp 1024    |  1932.43 ± 23.48 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 |        512 | pp 1024    |  2254.45 ± 15.59 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 |       1024 | pp 1024    |  2498.61 ± 13.58 |
-
-### Different numbers of threads
-
-```sh
-$ ./llama-bench -n 0 -n 16 -p 64 -t 1,2,4,8,16,32
-```
-
-| model                          |       size |     params | backend    |    threads | test       |              t/s |
-| ------------------------------ | ---------: | ---------: | ---------- | ---------: | ---------- | ---------------: |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          1 | pp 64      |      6.17 ± 0.07 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          1 | tg 16      |      4.05 ± 0.02 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          2 | pp 64      |     12.31 ± 0.13 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          2 | tg 16      |      7.80 ± 0.07 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          4 | pp 64      |     23.18 ± 0.06 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          4 | tg 16      |     12.22 ± 0.07 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          8 | pp 64      |     32.29 ± 1.21 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |          8 | tg 16      |     16.71 ± 0.66 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |         16 | pp 64      |     33.52 ± 0.03 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |         16 | tg 16      |     15.32 ± 0.05 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |         32 | pp 64      |     59.00 ± 1.11 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CPU        |         32 | tg 16      |     16.41 ± 0.79 |
-
-### Different numbers of layers offloaded to the GPU
-
-```sh
-$ ./llama-bench -ngl 10,20,30,31,32,33,34,35
-```
-
-| model                          |       size |     params | backend    | ngl | test       |              t/s |
-| ------------------------------ | ---------: | ---------: | ---------- | --: | ---------- | ---------------: |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  10 | pp 512     |    373.36 ± 2.25 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  10 | tg 128     |     13.45 ± 0.93 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  20 | pp 512     |    472.65 ± 1.25 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  20 | tg 128     |     21.36 ± 1.94 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  30 | pp 512     |   631.87 ± 11.25 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  30 | tg 128     |     40.04 ± 1.82 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  31 | pp 512     |    657.89 ± 5.08 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  31 | tg 128     |     48.19 ± 0.81 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  32 | pp 512     |    688.26 ± 3.29 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  32 | tg 128     |     54.78 ± 0.65 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  33 | pp 512     |    704.27 ± 2.24 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  33 | tg 128     |     60.62 ± 1.76 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  34 | pp 512     |    881.34 ± 5.40 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  34 | tg 128     |     71.76 ± 0.23 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  35 | pp 512     |   2400.01 ± 7.72 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  35 | tg 128     |    131.66 ± 0.49 |
-
-### Different prefilled context
-
-```
-$ ./llama-bench -d 0,512
-```
-
-| model                          |       size |     params | backend    | ngl |            test |                  t/s |
-| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
-| qwen2 7B Q4_K - Medium         |   4.36 GiB |     7.62 B | CUDA       |  99 |           pp512 |      7340.20 ± 23.45 |
-| qwen2 7B Q4_K - Medium         |   4.36 GiB |     7.62 B | CUDA       |  99 |           tg128 |        120.60 ± 0.59 |
-| qwen2 7B Q4_K - Medium         |   4.36 GiB |     7.62 B | CUDA       |  99 |    pp512 @ d512 |      6425.91 ± 18.88 |
-| qwen2 7B Q4_K - Medium         |   4.36 GiB |     7.62 B | CUDA       |  99 |    tg128 @ d512 |        116.71 ± 0.60 |
-
-## Output formats
-
-By default, llama-bench outputs the results in markdown format. The results can be output in other formats by using the `-o` option.
-
-### Markdown
-
-```sh
-$ ./llama-bench -o md
-```
-
-| model                          |       size |     params | backend    | ngl | test       |              t/s |
-| ------------------------------ | ---------: | ---------: | ---------- | --: | ---------- | ---------------: |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 | pp 512     |  2368.80 ± 93.24 |
-| llama 7B mostly Q4_0           |   3.56 GiB |     6.74 B | CUDA       |  99 | tg 128     |    131.42 ± 0.59 |
-
-### CSV
-
-```sh
-$ ./llama-bench -o csv
-```
-
-```csv
-build_commit,build_number,cpu_info,gpu_info,backends,model_filename,model_type,model_size,model_n_params,n_batch,n_ubatch,n_threads,cpu_mask,cpu_strict,poll,type_k,type_v,n_gpu_layers,split_mode,main_gpu,no_kv_offload,flash_attn,tensor_split,use_mmap,embeddings,n_prompt,n_gen,n_depth,test_time,avg_ns,stddev_ns,avg_ts,stddev_ts
-"8cf427ff","5163","AMD Ryzen 7 7800X3D 8-Core Processor","NVIDIA GeForce RTX 4080","CUDA","models/Qwen2.5-7B-Instruct-Q4_K_M.gguf","qwen2 7B Q4_K - Medium","4677120000","7615616512","2048","512","8","0x0","0","50","f16","f16","99","layer","0","0","0","0.00","1","0","512","0","0","2025-04-24T11:57:09Z","70285660","982040","7285.676949","100.064434"
-"8cf427ff","5163","AMD Ryzen 7 7800X3D 8-Core Processor","NVIDIA GeForce RTX 4080","CUDA","models/Qwen2.5-7B-Instruct-Q4_K_M.gguf","qwen2 7B Q4_K - Medium","4677120000","7615616512","2048","512","8","0x0","0","50","f16","f16","99","layer","0","0","0","0.00","1","0","0","128","0","2025-04-24T11:57:10Z","1067431600","3834831","119.915244","0.430617"
-```
-
-### JSON
-
-```sh
-$ ./llama-bench -o json
-```
-
-```json
-[
-  {
-    "build_commit": "8cf427ff",
-    "build_number": 5163,
-    "cpu_info": "AMD Ryzen 7 7800X3D 8-Core Processor",
-    "gpu_info": "NVIDIA GeForce RTX 4080",
-    "backends": "CUDA",
-    "model_filename": "models/Qwen2.5-7B-Instruct-Q4_K_M.gguf",
-    "model_type": "qwen2 7B Q4_K - Medium",
-    "model_size": 4677120000,
-    "model_n_params": 7615616512,
-    "n_batch": 2048,
-    "n_ubatch": 512,
-    "n_threads": 8,
-    "cpu_mask": "0x0",
-    "cpu_strict": false,
-    "poll": 50,
-    "type_k": "f16",
-    "type_v": "f16",
-    "n_gpu_layers": 99,
-    "split_mode": "layer",
-    "main_gpu": 0,
-    "no_kv_offload": false,
-    "flash_attn": false,
-    "tensor_split": "0.00",
-    "use_mmap": true,
-    "embeddings": false,
-    "n_prompt": 512,
-    "n_gen": 0,
-    "n_depth": 0,
-    "test_time": "2025-04-24T11:58:50Z",
-    "avg_ns": 72135640,
-    "stddev_ns": 1453752,
-    "avg_ts": 7100.002165,
-    "stddev_ts": 140.341520,
-    "samples_ns": [ 74601900, 71632900, 71745200, 71952700, 70745500 ],
-    "samples_ts": [ 6863.1, 7147.55, 7136.37, 7115.79, 7237.21 ]
-  },
-  {
-    "build_commit": "8cf427ff",
-    "build_number": 5163,
-    "cpu_info": "AMD Ryzen 7 7800X3D 8-Core Processor",
-    "gpu_info": "NVIDIA GeForce RTX 4080",
-    "backends": "CUDA",
-    "model_filename": "models/Qwen2.5-7B-Instruct-Q4_K_M.gguf",
-    "model_type": "qwen2 7B Q4_K - Medium",
-    "model_size": 4677120000,
-    "model_n_params": 7615616512,
-    "n_batch": 2048,
-    "n_ubatch": 512,
-    "n_threads": 8,
-    "cpu_mask": "0x0",
-    "cpu_strict": false,
-    "poll": 50,
-    "type_k": "f16",
-    "type_v": "f16",
-    "n_gpu_layers": 99,
-    "split_mode": "layer",
-    "main_gpu": 0,
-    "no_kv_offload": false,
-    "flash_attn": false,
-    "tensor_split": "0.00",
-    "use_mmap": true,
-    "embeddings": false,
-    "n_prompt": 0,
-    "n_gen": 128,
-    "n_depth": 0,
-    "test_time": "2025-04-24T11:58:51Z",
-    "avg_ns": 1076767880,
-    "stddev_ns": 9449585,
-    "avg_ts": 118.881588,
-    "stddev_ts": 1.041811,
-    "samples_ns": [ 1075361300, 1065089400, 1071761200, 1081934900, 1089692600 ],
-    "samples_ts": [ 119.03, 120.178, 119.43, 118.307, 117.464 ]
-  }
-]
-```
-
-
-### JSONL
-
-```sh
-$ ./llama-bench -o jsonl
-```
-
-```json lines
-{"build_commit": "8cf427ff", "build_number": 5163, "cpu_info": "AMD Ryzen 7 7800X3D 8-Core Processor", "gpu_info": "NVIDIA GeForce RTX 4080", "backends": "CUDA", "model_filename": "models/Qwen2.5-7B-Instruct-Q4_K_M.gguf", "model_type": "qwen2 7B Q4_K - Medium", "model_size": 4677120000, "model_n_params": 7615616512, "n_batch": 2048, "n_ubatch": 512, "n_threads": 8, "cpu_mask": "0x0", "cpu_strict": false, "poll": 50, "type_k": "f16", "type_v": "f16", "n_gpu_layers": 99, "split_mode": "layer", "main_gpu": 0, "no_kv_offload": false, "flash_attn": false, "tensor_split": "0.00", "use_mmap": true, "embeddings": false, "n_prompt": 512, "n_gen": 0, "n_depth": 0, "test_time": "2025-04-24T11:59:33Z", "avg_ns": 70497220, "stddev_ns": 883196, "avg_ts": 7263.609157, "stddev_ts": 90.940578, "samples_ns": [ 71551000, 71222800, 70364100, 69439100, 69909100 ],"samples_ts": [ 7155.74, 7188.71, 7276.44, 7373.37, 7323.8 ]}
-{"build_commit": "8cf427ff", "build_number": 5163, "cpu_info": "AMD Ryzen 7 7800X3D 8-Core Processor", "gpu_info": "NVIDIA GeForce RTX 4080", "backends": "CUDA", "model_filename": "models/Qwen2.5-7B-Instruct-Q4_K_M.gguf", "model_type": "qwen2 7B Q4_K - Medium", "model_size": 4677120000, "model_n_params": 7615616512, "n_batch": 2048, "n_ubatch": 512, "n_threads": 8, "cpu_mask": "0x0", "cpu_strict": false, "poll": 50, "type_k": "f16", "type_v": "f16", "n_gpu_layers": 99, "split_mode": "layer", "main_gpu": 0, "no_kv_offload": false, "flash_attn": false, "tensor_split": "0.00", "use_mmap": true, "embeddings": false, "n_prompt": 0, "n_gen": 128, "n_depth": 0, "test_time": "2025-04-24T11:59:33Z", "avg_ns": 1068078400, "stddev_ns": 6279455, "avg_ts": 119.844681, "stddev_ts": 0.699739, "samples_ns": [ 1066331700, 1064864900, 1079042600, 1063328400, 1066824400 ],"samples_ts": [ 120.038, 120.203, 118.624, 120.377, 119.982 ]}
-```
-
-
-### SQL
-
-SQL output is suitable for importing into a SQLite database. The output can be piped into the `sqlite3` command line tool to add the results to a database.
-
-```sh
-$ ./llama-bench -o sql
-```
-
-```sql
-CREATE TABLE IF NOT EXISTS test (
-  build_commit TEXT,
-  build_number INTEGER,
-  cpu_info TEXT,
-  gpu_info TEXT,
-  backends TEXT,
-  model_filename TEXT,
-  model_type TEXT,
-  model_size INTEGER,
-  model_n_params INTEGER,
-  n_batch INTEGER,
-  n_ubatch INTEGER,
-  n_threads INTEGER,
-  cpu_mask TEXT,
-  cpu_strict INTEGER,
-  poll INTEGER,
-  type_k TEXT,
-  type_v TEXT,
-  n_gpu_layers INTEGER,
-  split_mode TEXT,
-  main_gpu INTEGER,
-  no_kv_offload INTEGER,
-  flash_attn INTEGER,
-  tensor_split TEXT,
-  use_mmap INTEGER,
-  embeddings INTEGER,
-  n_prompt INTEGER,
-  n_gen INTEGER,
-  n_depth INTEGER,
-  test_time TEXT,
-  avg_ns INTEGER,
-  stddev_ns INTEGER,
-  avg_ts REAL,
-  stddev_ts REAL
-);
-
-INSERT INTO test (build_commit, build_number, cpu_info, gpu_info, backends, model_filename, model_type, model_size, model_n_params, n_batch, n_ubatch, n_threads, cpu_mask, cpu_strict, poll, type_k, type_v, n_gpu_layers, split_mode, main_gpu, no_kv_offload, flash_attn, tensor_split, use_mmap, embeddings, n_prompt, n_gen, n_depth, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('8cf427ff', '5163', 'AMD Ryzen 7 7800X3D 8-Core Processor', 'NVIDIA GeForce RTX 4080', 'CUDA', 'models/Qwen2.5-7B-Instruct-Q4_K_M.gguf', 'qwen2 7B Q4_K - Medium', '4677120000', '7615616512', '2048', '512', '8', '0x0', '0', '50', 'f16', 'f16', '99', 'layer', '0', '0', '0', '0.00', '1', '0', '512', '0', '0', '2025-04-24T12:00:08Z', '69905000', '519516', '7324.546977', '54.032613');
-INSERT INTO test (build_commit, build_number, cpu_info, gpu_info, backends, model_filename, model_type, model_size, model_n_params, n_batch, n_ubatch, n_threads, cpu_mask, cpu_strict, poll, type_k, type_v, n_gpu_layers, split_mode, main_gpu, no_kv_offload, flash_attn, tensor_split, use_mmap, embeddings, n_prompt, n_gen, n_depth, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('8cf427ff', '5163', 'AMD Ryzen 7 7800X3D 8-Core Processor', 'NVIDIA GeForce RTX 4080', 'CUDA', 'models/Qwen2.5-7B-Instruct-Q4_K_M.gguf', 'qwen2 7B Q4_K - Medium', '4677120000', '7615616512', '2048', '512', '8', '0x0', '0', '50', 'f16', 'f16', '99', 'layer', '0', '0', '0', '0.00', '1', '0', '0', '128', '0', '2025-04-24T12:00:09Z', '1063608780', '4464130', '120.346696', '0.504647');
-```
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bffd1298922b2d122e71f34081aab4df516d6a08dd6c8451368f49f291b1284
+size 20058
diff --git a/tools/llama-bench/llama-bench.cpp b/tools/llama-bench/llama-bench.cpp
index b0f1d6b936c35c1217ecd92b678b33d1f8b3e5a3..e21a80e697bc35ff8b05b734304e437fdcf790e2 100644
--- a/tools/llama-bench/llama-bench.cpp
+++ b/tools/llama-bench/llama-bench.cpp
@@ -19,8 +19,10 @@
 #include <vector>
 #include <unordered_set>
 
+#include "build-info.h"
 #include "common.h"
 #include "download.h"
+#include "fit.h"
 #include "ggml.h"
 #include "llama.h"
 
@@ -260,6 +262,8 @@ static const char * split_mode_str(llama_split_mode mode) {
             return "layer";
         case LLAMA_SPLIT_MODE_ROW:
             return "row";
+        case LLAMA_SPLIT_MODE_TENSOR:
+            return "tensor";
         default:
             GGML_ABORT("invalid split mode");
     }
@@ -342,6 +346,8 @@ struct cmd_params {
     std::vector<bool>                embeddings;
     std::vector<bool>                no_op_offload;
     std::vector<bool>                no_host;
+    std::vector<size_t>              fit_params_target;
+    std::vector<uint32_t>            fit_params_min_ctx;
     ggml_numa_strategy               numa;
     int                              reps;
     ggml_sched_priority              prio;
@@ -384,6 +390,8 @@ static const cmd_params cmd_params_defaults = {
     /* embeddings           */ { false },
     /* no_op_offload        */ { false },
     /* no_host              */ { false },
+    /* fit_params_target    */ { 0 },
+    /* fit_params_min_ctx   */ { 0 },
     /* numa                 */ GGML_NUMA_STRATEGY_DISABLED,
     /* reps                 */ 5,
     /* prio                 */ GGML_SCHED_PRIO_NORMAL,
@@ -410,6 +418,8 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  -v, --verbose                               verbose output\n");
     printf("  --progress                                  print test progress indicators\n");
     printf("  --no-warmup                                 skip warmup runs before benchmarking\n");
+    printf("  -fitt, --fit-target <MiB>                   fit model to device memory with this margin per device in MiB (default: off)\n");
+    printf("  -fitc, --fit-ctx <n>                        minimum ctx size for --fit-target (default: 4096)\n");
     if (llama_supports_rpc()) {
         printf("  -rpc, --rpc <rpc_servers>                   register RPC devices (comma separated)\n");
     }
@@ -418,7 +428,7 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  -m, --model <filename>                      (default: %s)\n", join(cmd_params_defaults.model, ",").c_str());
     printf("  -hf, -hfr, --hf-repo <user>/<model>[:quant] Hugging Face model repository; quant is optional, case-insensitive\n");
     printf("                                              default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.\n");
-    printf("                                              example: unsloth/phi-4-GGUF:Q4_K_M\n");
+    printf("                                              example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M\n");
     printf("                                              (default: unused)\n");
     printf("  -hff, --hf-file <file>                      Hugging Face model file. If specified, it will override the quant in --hf-repo\n");
     printf("                                              (default: unused)\n");
@@ -438,7 +448,7 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  --poll <0...100>                            (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str());
     printf("  -ngl, --n-gpu-layers <n>                    (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str());
     printf("  -ncmoe, --n-cpu-moe <n>                     (default: %s)\n", join(cmd_params_defaults.n_cpu_moe, ",").c_str());
-    printf("  -sm, --split-mode <none|layer|row>          (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
+    printf("  -sm, --split-mode <none|layer|row|tensor>   (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
     printf("  -mg, --main-gpu <i>                         (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str());
     printf("  -nkvo, --no-kv-offload <0|1>                (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str());
     printf("  -fa, --flash-attn <0|1>                     (default: %s)\n", join(cmd_params_defaults.flash_attn, ",").c_str());
@@ -737,6 +747,8 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                         mode = LLAMA_SPLIT_MODE_LAYER;
                     } else if (m == "row") {
                         mode = LLAMA_SPLIT_MODE_ROW;
+                    } else if (m == "tensor") {
+                        mode = LLAMA_SPLIT_MODE_TENSOR;
                     } else {
                         invalid_param = true;
                         break;
@@ -958,6 +970,24 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 params.progress = true;
             } else if (arg == "--no-warmup") {
                 params.no_warmup = true;
+            } else if (arg == "-fitt" || arg == "--fit-target") {
+                if (++i >= argc) {
+                    invalid_param = true;
+                    break;
+                }
+                auto p = string_split<std::string>(argv[i], split_delim);
+                for (const auto & v : p) {
+                    params.fit_params_target.push_back(std::stoull(v));
+                }
+            } else if (arg == "-fitc" || arg == "--fit-ctx") {
+                if (++i >= argc) {
+                    invalid_param = true;
+                    break;
+                }
+                auto p = string_split<std::string>(argv[i], split_delim);
+                for (const auto & v : p) {
+                    params.fit_params_min_ctx.push_back(std::stoul(v));
+                }
             } else {
                 invalid_param = true;
                 break;
@@ -979,37 +1009,22 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
         for (size_t i = 0; i < params.hf_repo.size(); i++) {
             common_params_model model;
 
-            // step 1: no `-hff` provided, we auto-detect based on the `-hf` flag
             if (params.hf_file.empty() || params.hf_file[i].empty()) {
-                auto auto_detected = common_get_hf_file(params.hf_repo[i], params.hf_token, false);
-                if (auto_detected.repo.empty() || auto_detected.ggufFile.empty()) {
-                    exit(1);
-                }
-
-                model.name    = params.hf_repo[i];
-                model.hf_repo = auto_detected.repo;
-                model.hf_file = auto_detected.ggufFile;
+                model.hf_repo = params.hf_repo[i];
             } else {
+                model.hf_repo = params.hf_repo[i];
                 model.hf_file = params.hf_file[i];
             }
 
-            // step 2: construct the model cache path
-            std::string clean_fname = model.hf_repo + "_" + model.hf_file;
-            string_replace_all(clean_fname, "\\", "_");
-            string_replace_all(clean_fname, "/", "_");
-            model.path = fs_get_cache_file(clean_fname);
-
-            // step 3: download the model if not exists
-            std::string model_endpoint = get_model_endpoint();
-            model.url = model_endpoint + model.hf_repo + "/resolve/main/" + model.hf_file;
-
-            bool ok = common_download_model(model, params.hf_token, false);
-            if (!ok) {
-                fprintf(stderr, "error: failed to download model from %s\n", model.url.c_str());
+            common_download_opts opts;
+            opts.bearer_token = params.hf_token;
+            auto download_result = common_download_model(model, opts);
+            if (download_result.model_path.empty()) {
+                fprintf(stderr, "error: failed to download model from HuggingFace\n");
                 exit(1);
             }
 
-            params.model.push_back(model.path);
+            params.model.push_back(download_result.model_path);
         }
     }
 
@@ -1095,6 +1110,12 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
     if (params.poll.empty()) {
         params.poll = cmd_params_defaults.poll;
     }
+    if (params.fit_params_target.empty()) {
+        params.fit_params_target = cmd_params_defaults.fit_params_target;
+    }
+    if (params.fit_params_min_ctx.empty()) {
+        params.fit_params_min_ctx = cmd_params_defaults.fit_params_min_ctx;
+    }
 
     return params;
 }
@@ -1126,6 +1147,8 @@ struct cmd_params_instance {
     bool               embeddings;
     bool               no_op_offload;
     bool               no_host;
+    size_t             fit_target;
+    uint32_t           fit_min_ctx;
 
     llama_model_params to_llama_mparams() const {
         llama_model_params mparams = llama_model_default_params();
@@ -1214,6 +1237,8 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
     // this ordering minimizes the number of times that each model needs to be reloaded
     // clang-format off
     for (const auto & m : params.model)
+    for (const auto & fpt : params.fit_params_target)
+    for (const auto & fpc : params.fit_params_min_ctx)
     for (const auto & nl : params.n_gpu_layers)
     for (const auto & ncmoe : params.n_cpu_moe)
     for (const auto & sm : params.split_mode)
@@ -1268,6 +1293,8 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
                 /* .embeddings   = */ embd,
                 /* .no_op_offload= */ nopo,
                 /* .no_host      = */ noh,
+                /* .fit_target   = */ fpt,
+                /* .fit_min_ctx  = */ fpc,
             };
             instances.push_back(instance);
         }
@@ -1303,6 +1330,8 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
                 /* .embeddings   = */ embd,
                 /* .no_op_offload= */ nopo,
                 /* .no_host      = */ noh,
+                /* .fit_target   = */ fpt,
+                /* .fit_min_ctx  = */ fpc,
             };
             instances.push_back(instance);
         }
@@ -1338,6 +1367,8 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
                 /* .embeddings   = */ embd,
                 /* .no_op_offload= */ nopo,
                 /* .no_host      = */ noh,
+                /* .fit_target   = */ fpt,
+                /* .fit_min_ctx  = */ fpc,
             };
             instances.push_back(instance);
         }
@@ -1378,6 +1409,8 @@ struct test {
     bool                     embeddings;
     bool                     no_op_offload;
     bool                     no_host;
+    size_t                   fit_target;
+    uint32_t                 fit_min_ctx;
     int                      n_prompt;
     int                      n_gen;
     int                      n_depth;
@@ -1416,6 +1449,8 @@ struct test {
         embeddings     = inst.embeddings;
         no_op_offload  = inst.no_op_offload;
         no_host        = inst.no_host;
+        fit_target     = inst.fit_target;
+        fit_min_ctx    = inst.fit_min_ctx;
         n_prompt       = inst.n_prompt;
         n_gen          = inst.n_gen;
         n_depth        = inst.n_depth;
@@ -1473,7 +1508,8 @@ struct test {
             "type_k",         "type_v",         "n_gpu_layers",  "n_cpu_moe",      "split_mode",
             "main_gpu",       "no_kv_offload",  "flash_attn",    "devices",        "tensor_split",
             "tensor_buft_overrides",            "use_mmap",      "use_direct_io",  "embeddings",
-            "no_op_offload",  "no_host",        "n_prompt",      "n_gen",          "n_depth",
+            "no_op_offload",  "no_host",        "fit_target",     "fit_min_ctx",
+            "n_prompt",       "n_gen",          "n_depth",
             "test_time",      "avg_ns",         "stddev_ns",     "avg_ts",         "stddev_ts"
         };
         return fields;
@@ -1485,7 +1521,8 @@ struct test {
         if (field == "build_number" || field == "n_batch" || field == "n_ubatch" || field == "n_threads" ||
             field == "poll" || field == "model_size" || field == "model_n_params" || field == "n_gpu_layers" ||
             field == "main_gpu" || field == "n_prompt" || field == "n_gen" || field == "n_depth" || field == "avg_ns" ||
-            field == "stddev_ns" || field == "no_op_offload" || field == "n_cpu_moe") {
+            field == "stddev_ns" || field == "no_op_offload" || field == "n_cpu_moe" ||
+            field == "fit_target" || field == "fit_min_ctx") {
             return INT;
         }
         if (field == "f16_kv" || field == "no_kv_offload" || field == "cpu_strict" || field == "flash_attn" ||
@@ -1566,6 +1603,8 @@ struct test {
                                             std::to_string(embeddings),
                                             std::to_string(no_op_offload),
                                             std::to_string(no_host),
+                                            std::to_string(fit_target),
+                                            std::to_string(fit_min_ctx),
                                             std::to_string(n_prompt),
                                             std::to_string(n_gen),
                                             std::to_string(n_depth),
@@ -1587,8 +1626,8 @@ struct test {
     }
 };
 
-const std::string test::build_commit = LLAMA_COMMIT;
-const int         test::build_number = LLAMA_BUILD_NUMBER;
+const std::string test::build_commit = llama_commit();
+const int         test::build_number = llama_build_number();
 
 struct printer {
     virtual ~printer() {}
@@ -1737,7 +1776,7 @@ struct markdown_printer : public printer {
             return 6;
         }
         if (field == "split_mode") {
-            return 5;
+            return 6;
         }
         if (field == "flash_attn") {
             return 2;
@@ -1809,6 +1848,12 @@ struct markdown_printer : public printer {
         if (field == "tensor_buft_overrides") {
             return "ot";
         }
+        if (field == "fit_target") {
+            return "fitt";
+        }
+        if (field == "fit_min_ctx") {
+            return "fitc";
+        }
         return field;
     }
 
@@ -1824,7 +1869,7 @@ struct markdown_printer : public printer {
         if (!is_cpu_backend) {
             fields.emplace_back("n_gpu_layers");
         }
-        if (params.n_cpu_moe.size() > 1) {
+        if (params.n_cpu_moe.size() > 1 || params.n_cpu_moe != cmd_params_defaults.n_cpu_moe) {
             fields.emplace_back("n_cpu_moe");
         }
         if (params.n_threads.size() > 1 || params.n_threads != cmd_params_defaults.n_threads || is_cpu_backend) {
@@ -1887,6 +1932,12 @@ struct markdown_printer : public printer {
         if (params.no_host.size() > 1 || params.no_host != cmd_params_defaults.no_host) {
             fields.emplace_back("no_host");
         }
+        if (params.fit_params_target.size() > 1 || params.fit_params_target != cmd_params_defaults.fit_params_target) {
+            fields.emplace_back("fit_target");
+        }
+        if (params.fit_params_min_ctx.size() > 1 || params.fit_params_min_ctx != cmd_params_defaults.fit_params_min_ctx) {
+            fields.emplace_back("fit_min_ctx");
+        }
         fields.emplace_back("test");
         fields.emplace_back("t/s");
 
@@ -2158,13 +2209,49 @@ int main(int argc, char ** argv) {
         if (params.progress) {
             fprintf(stderr, "llama-bench: benchmark %d/%zu: starting\n", params_idx, params_count);
         }
+        auto mparams = inst.to_llama_mparams();
+        auto cparams = inst.to_llama_cparams();
+
+        bool do_fit = inst.fit_target != cmd_params_defaults.fit_params_target[0] ||
+                      inst.fit_min_ctx != cmd_params_defaults.fit_params_min_ctx[0];
+
+        std::vector<float> fit_tensor_split(llama_max_devices(), 0.0f);
+        std::vector<llama_model_tensor_buft_override> fit_overrides(llama_max_tensor_buft_overrides(), {nullptr, nullptr});
+
+        if (do_fit) {
+            // free the previous model so fit sees full free VRAM
+            if (lmodel) {
+                llama_model_free(lmodel);
+                lmodel    = nullptr;
+                prev_inst = nullptr;
+            }
+
+            // use default n_gpu_layers and n_ctx so common_fit_params can adjust them
+            mparams.n_gpu_layers          = llama_model_default_params().n_gpu_layers;
+            mparams.tensor_split          = fit_tensor_split.data();
+            mparams.tensor_buft_overrides = fit_overrides.data();
+            cparams.n_ctx                 = 0;
+
+            std::vector<size_t> margins(llama_max_devices(), inst.fit_target * 1024 * 1024);
+
+            uint32_t n_ctx_needed = inst.n_prompt + inst.n_gen + inst.n_depth;
+            cparams.n_ctx = std::max(cparams.n_ctx, n_ctx_needed);
+
+            common_fit_params(inst.model.c_str(), &mparams, &cparams,
+                fit_tensor_split.data(),
+                fit_overrides.data(),
+                margins.data(),
+                inst.fit_min_ctx,
+                params.verbose ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
+       }
+
         // keep the same model between tests when possible
         if (!lmodel || !prev_inst || !inst.equal_mparams(*prev_inst)) {
             if (lmodel) {
                 llama_model_free(lmodel);
             }
 
-            lmodel = llama_model_load_from_file(inst.model.c_str(), inst.to_llama_mparams());
+            lmodel = llama_model_load_from_file(inst.model.c_str(), mparams);
             if (lmodel == NULL) {
                 fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, inst.model.c_str());
                 return 1;
@@ -2172,7 +2259,7 @@ int main(int argc, char ** argv) {
             prev_inst = &inst;
         }
 
-        llama_context * ctx = llama_init_from_model(lmodel, inst.to_llama_cparams());
+        llama_context * ctx = llama_init_from_model(lmodel, cparams);
         if (ctx == NULL) {
             fprintf(stderr, "%s: error: failed to create context with model '%s'\n", __func__, inst.model.c_str());
             llama_model_free(lmodel);
diff --git a/tools/mtmd/CMakeLists.txt b/tools/mtmd/CMakeLists.txt
index a39de8c928bd781183b9a7cd5bccce9c7cc8de64..7e2e31227a9697a95ae801e6777cc7da57ec59be 100644
--- a/tools/mtmd/CMakeLists.txt
+++ b/tools/mtmd/CMakeLists.txt
@@ -1,108 +1,3 @@
-# mtmd
-
-find_package(Threads REQUIRED)
-
-add_library(mtmd
-            mtmd.cpp
-            mtmd-audio.cpp
-            mtmd.h
-            mtmd-helper.cpp
-            mtmd-helper.h
-            clip.cpp
-            clip.h
-            clip-impl.h
-            clip-model.h
-            clip-graph.h
-            models/models.h
-            models/cogvlm.cpp
-            models/conformer.cpp
-            models/glm4v.cpp
-            models/internvl.cpp
-            models/kimivl.cpp
-            models/kimik25.cpp
-            models/nemotron-v2-vl.cpp
-            models/llama4.cpp
-            models/llava.cpp
-            models/minicpmv.cpp
-            models/paddleocr.cpp
-            models/pixtral.cpp
-            models/qwen2vl.cpp
-            models/qwen3vl.cpp
-            models/siglip.cpp
-            models/whisper-enc.cpp
-            models/mobilenetv5.cpp
-            models/youtuvl.cpp
-            )
-
-set_target_properties(mtmd PROPERTIES
-    VERSION ${LLAMA_INSTALL_VERSION}
-    SOVERSION 0
-    MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number
-)
-
-target_link_libraries     (mtmd PUBLIC ggml llama)
-target_link_libraries     (mtmd PRIVATE Threads::Threads)
-target_include_directories(mtmd PUBLIC  .)
-target_include_directories(mtmd PRIVATE ../..)
-target_include_directories(mtmd PRIVATE ../../vendor)
-target_compile_features   (mtmd PRIVATE cxx_std_17)
-
-if (BUILD_SHARED_LIBS)
-    set_target_properties     (mtmd PROPERTIES POSITION_INDEPENDENT_CODE ON)
-    target_compile_definitions(mtmd PRIVATE LLAMA_BUILD)
-    target_compile_definitions(mtmd PUBLIC  LLAMA_SHARED)
-endif()
-
-set(MTMD_PUBLIC_HEADERS
-    ${CMAKE_CURRENT_SOURCE_DIR}/mtmd.h
-    ${CMAKE_CURRENT_SOURCE_DIR}/mtmd-helper.h
-    )
-
-set_target_properties(mtmd
-    PROPERTIES
-    PUBLIC_HEADER "${MTMD_PUBLIC_HEADERS}")
-
-set_target_properties(mtmd
-    PROPERTIES
-    PRIVATE_HEADER debug/mtmd-debug.h)
-
-install(TARGETS mtmd LIBRARY PUBLIC_HEADER)
-
-if (NOT MSVC)
-    # for stb_image.h and miniaudio.h
-    target_compile_options(mtmd PRIVATE -Wno-cast-qual)
-endif()
-
-if (TARGET BUILD_INFO)
-    add_dependencies(mtmd        BUILD_INFO)
-    add_dependencies(mtmd-helper BUILD_INFO)
-endif()
-
-# if mtmd is linked against common, we throw an error
-if (TARGET mtmd)
-    get_target_property(libs mtmd LINK_LIBRARIES)
-    if (libs AND "common" IN_LIST libs)
-        message(FATAL_ERROR "mtmd is designed to be a public library.\n"
-                            "It must not link against common")
-    endif()
-endif()
-
-add_executable(llama-llava-cli    deprecation-warning.cpp)
-add_executable(llama-gemma3-cli   deprecation-warning.cpp)
-add_executable(llama-minicpmv-cli deprecation-warning.cpp)
-add_executable(llama-qwen2vl-cli  deprecation-warning.cpp)
-
-set(TARGET llama-mtmd-cli)
-add_executable         (${TARGET} mtmd-cli.cpp)
-set_target_properties  (${TARGET} PROPERTIES OUTPUT_NAME llama-mtmd-cli)
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
-target_link_libraries  (${TARGET} PRIVATE common mtmd Threads::Threads)
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-# mtmd-debug tool
-add_executable(llama-mtmd-debug debug/mtmd-debug.cpp)
-set_target_properties(llama-mtmd-debug PROPERTIES OUTPUT_NAME llama-mtmd-debug)
-target_link_libraries(llama-mtmd-debug PRIVATE common mtmd Threads::Threads)
-target_compile_features(llama-mtmd-debug PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e172a2f32760172c962d1618fe93e335940cd3b5522a06078803b7da17b8718
+size 3940
diff --git a/tools/mtmd/clip-graph.h b/tools/mtmd/clip-graph.h
index 4c7f7504cfcd054be3d1e69f7d7c83f6c3a99a6d..d3e7b1ed044bde2502983df541a9d0a6dc03c656 100644
--- a/tools/mtmd/clip-graph.h
+++ b/tools/mtmd/clip-graph.h
@@ -29,7 +29,7 @@ struct clip_graph {
     const int n_layer;
     const int n_mmproj_embd;
     const float eps;
-    const float kq_scale;
+    float kq_scale; // TODO: maybe move this to hparams
     const clip_flash_attn_type flash_attn_type;
 
     ggml_context_ptr ctx0_ptr;
@@ -41,6 +41,11 @@ struct clip_graph {
     virtual ~clip_graph() = default;
     virtual ggml_cgraph * build() = 0;
 
+    // wrapper around ggml_mul_mat, allow hooking (e.g. LoRA, clamping) depending on the model
+    // tensor w should be the weight matrix, and tensor x should be the input
+    virtual ggml_tensor * build_mm(ggml_tensor * w, ggml_tensor * x) const;
+    // TODO: build_mm(w, b, x) to support bias
+
     //
     // utility functions
     //
diff --git a/tools/mtmd/clip-impl.h b/tools/mtmd/clip-impl.h
index 3eb66f91454c4b6ae6fc7bc9527a49d9a3eaeb5e..17cb703f7fbb50863cdb197a0bf0fc5111b71762 100644
--- a/tools/mtmd/clip-impl.h
+++ b/tools/mtmd/clip-impl.h
@@ -38,6 +38,8 @@
 #define KEY_IMAGE_SIZE          "clip.vision.image_size"
 #define KEY_IMAGE_MIN_PIXELS    "clip.vision.image_min_pixels"
 #define KEY_IMAGE_MAX_PIXELS    "clip.vision.image_max_pixels"
+#define KEY_PREPROC_MIN_TILES   "clip.vision.preproc_min_tiles"
+#define KEY_PREPROC_MAX_TILES   "clip.vision.preproc_max_tiles"
 #define KEY_PREPROC_IMAGE_SIZE  "clip.vision.preproc_image_size"
 #define KEY_PATCH_SIZE          "clip.vision.patch_size"
 #define KEY_IMAGE_MEAN          "clip.vision.image_mean"
@@ -49,13 +51,14 @@
 
 #define KEY_MM_PATCH_MERGE_TYPE    "clip.vision.mm_patch_merge_type"
 #define KEY_IMAGE_GRID_PINPOINTS   "clip.vision.image_grid_pinpoints"
-#define KEY_IMAGE_CROP_RESOLUTION  "clip.vision.image_crop_resolution"
 #define KEY_WIN_ATTN_PATTERN       "clip.vision.n_wa_pattern"
 #define KEY_WIN_ATTN_LAYER_INDEXES "clip.vision.wa_layer_indexes"
 #define KEY_ATTN_WINDOW_SIZE       "clip.vision.window_size"
 #define KEY_MINICPMV_VERSION       "clip.minicpmv_version"
 #define KEY_MINICPMV_QUERY_NUM     "clip.minicpmv_query_num"
-
+#define KEY_SAM_N_HEAD             "clip.vision.sam.head_count"
+#define KEY_SAM_N_BLOCK            "clip.vision.sam.block_count"
+#define KEY_SAM_N_EMBD             "clip.vision.sam.embedding_length"
 // audio-specific
 #define KEY_AUDIO_PROJ_TYPE     "clip.audio.projector_type" // for models with mixed modalities
 #define KEY_A_NUM_MEL_BINS      "clip.audio.num_mel_bins"
@@ -85,8 +88,11 @@
 #define TN_FFN_GATE        "%s.blk.%d.ffn_gate.%s"
 #define TN_LN_1            "%s.blk.%d.ln1.%s" // layer norm
 #define TN_LN_2            "%s.blk.%d.ln2.%s" // layer norm
-#define TN_LS_1            "%s.blk.%d.ls1.%s" // layer scale
-#define TN_LS_2            "%s.blk.%d.ls2.%s" // layer scale
+#define TN_LS_1            "%s.blk.%d.ls1.%s"         // layer scale
+#define TN_LS_2            "%s.blk.%d.ls2.%s"         // layer scale
+#define TN_LS_OUT          "%s.blk.%d.out_scale.%s"      // layer out scale (gemma4)
+#define TN_ATTN_POST_NORM  "%s.blk.%d.attn_post_norm.%s" // post-attn norm (gemma4)
+#define TN_FFN_POST_NORM   "%s.blk.%d.ffn_post_norm.%s"  // post-FFN norm (gemma4)
 #define TN_LN_PRE          "%s.pre_ln.%s"
 #define TN_LN_POST         "%s.post_ln.%s"
 #define TN_LLAVA_PROJ      "mm.%d.%s"
@@ -97,12 +103,13 @@
 #define TN_MVLM_PROJ_MLP   "mm.model.mlp.%d.%s"
 #define TN_MVLM_PROJ_BLOCK "mm.model.mb_block.%d.block.%d.%s"
 #define TN_MVLM_PROJ_PEG   "mm.model.peg.%d.%s"
-#define TN_IMAGE_NEWLINE   "model.image_newline"
+#define TN_IMAGE_NEWLINE   "v.image_newline"
+#define TN_IMAGE_SEPERATOR "v.view_seperator"
 #define TN_MM_INP_NORM     "mm.input_norm.weight"
 #define TN_MM_INP_NORM_B   "mm.input_norm.bias"
 #define TN_MM_INP_PROJ     "mm.input_projection.weight" // gemma3
 #define TN_MM_SOFT_EMB_N   "mm.soft_emb_norm.weight"    // gemma3
-#define TN_MM_PROJECTOR    "mm.model.fc.weight"         // idefics3
+#define TN_MM_PROJECTOR    "mm.model.fc.%s"             // idefics3, deepseekocr
 #define TN_MM_PATCH_MERGER "mm.patch_merger.%s"         // mistral small 3.1, glm4v
 #define TN_TOK_IMG_BREAK   "v.token_embd.img_break"     // pixtral
 #define TN_TOK_GLM_BOI     "adapter.boi"                // glm-edge (these embeddings are not in text model)
@@ -128,6 +135,8 @@
 
 // ultravox
 #define TN_CONV1D       "a.conv1d.%d.%s"
+#define TN_CONV2D       "a.conv2d.%d.%s"
+#define TN_CONV_OUT     "a.conv_out.%s"
 #define TN_MM_AUDIO_MLP "mm.a.mlp.%d.%s"
 #define TN_MM_AUDIO_FC  "mm.a.fc.%s" // fully connected layer
 #define TN_MM_NORM_PRE  "mm.a.norm_pre.%s"
@@ -141,6 +150,24 @@
 #define TN_TOK_BOI         "v.boi"
 #define TN_TOK_EOI         "v.eoi"
 
+// hunyuanocr
+#define TN_MM_PRE_NORM     "mm.pre_norm.%s"
+#define TN_TOK_IMG_BEGIN   "mm.image_begin"
+#define TN_TOK_IMG_END     "mm.image_end"
+
+// deepseek-ocr
+#define TN_SAM_POS_EMBD   "v.sam.pos_embd.%s"
+#define TN_SAM_PATCH_EMBD "v.sam.patch_embd.%s"
+#define TN_SAM_PRE_NORM   "v.sam.blk.%d.pre_ln.%s"
+#define TN_SAM_POST_NORM  "v.sam.blk.%d.post_ln.%s"
+#define TN_SAM_ATTN_POS_H "v.sam.blk.%d.attn.pos_h.%s"
+#define TN_SAM_ATTN_POS_W "v.sam.blk.%d.attn.pos_w.%s"
+#define TN_SAM_ATTN_QKV   "v.sam.blk.%d.attn.qkv.%s"
+#define TN_SAM_ATTN_OUT   "v.sam.blk.%d.attn.out.%s"
+#define TN_SAM_FFN_UP     "v.sam.blk.%d.mlp.lin1.%s"
+#define TN_SAM_FFN_DOWN   "v.sam.blk.%d.mlp.lin2.%s"
+#define TN_SAM_NECK       "v.sam.neck.%d.%s"
+#define TN_SAM_NET        "v.sam.net_%d.%s"
 // (conformer) lfm2
 #define TN_PRE_ENCODE_OUT  "a.pre_encode.out.%s"
 #define TN_FFN_NORM        "%s.blk.%d.ffn_norm.%s"
@@ -156,6 +183,21 @@
 #define TN_CONV_PW1        "%s.blk.%d.conv_pw1.%s"
 #define TN_CONV_PW2        "%s.blk.%d.conv_pw2.%s"
 
+// gemma4 audio conformer
+#define TN_A_MM_INP_PROJ     "mm.a.input_projection.%s"
+#define TN_A_MM_SOFT_EMB_N   "mm.a.soft_emb_norm.%s"
+#define TN_A_INP_PROJ        "a.input_projection.%s"
+#define TN_A_CONV1D          "a.conv1d.%d.%s"
+#define TN_A_CONV1D_NORM     "a.conv1d.%d.norm.%s"
+#define TN_A_OUT_PROJ        "a.pre_encode.out.%s"
+#define TN_A_ATTN_PRE_NORM   "%s.blk.%d.attn_pre_norm.%s"
+#define TN_A_ATTN_POST_NORM  "%s.blk.%d.attn_post_norm.%s"
+#define TN_A_ATTN_K_REL      "%s.blk.%d.attn_k_rel.%s"
+#define TN_A_PER_DIM_SCALE   "%s.blk.%d.per_dim_scale.%s"
+#define TN_A_PER_DIM_K_SCALE "%s.blk.%d.per_dim_k_scale.%s"
+#define TN_A_FFN_POST_NORM   "%s.blk.%d.ffn_post_norm.%s"
+#define TN_A_FFN_POST_NORM_1 "%s.blk.%d.ffn_post_norm_1.%s"
+
 // mobilenetv5 (gemma3n) definitions
 #define TN_MNV5_STEM_CONV        "v.conv_stem.conv.weight"
 #define TN_MNV5_STEM_BIAS        "v.conv_stem.conv.bias"
@@ -196,6 +238,10 @@
 #define TN_MNV5_MSFA_FFN_PROJ_BN "v.msfa.ffn.pw_proj.bn.weight"
 #define TN_MNV5_MSFA_NORM        "v.msfa.norm.weight"
 
+// gemma4
+#define TN_STD_BIAS              "v.std_bias"
+#define TN_STD_SCALE             "v.std_scale"
+
 
 // align x to upper multiple of n
 #define CLIP_ALIGN(x, n) ((((x) + (n) - 1) / (n)) * (n))
@@ -213,9 +259,12 @@ enum projector_type {
     PROJECTOR_TYPE_GLM_EDGE,
     PROJECTOR_TYPE_QWEN2VL,
     PROJECTOR_TYPE_QWEN3VL,
+    PROJECTOR_TYPE_STEP3VL,
     PROJECTOR_TYPE_GEMMA3,
     PROJECTOR_TYPE_GEMMA3NV,
     PROJECTOR_TYPE_GEMMA3NA,
+    PROJECTOR_TYPE_GEMMA4V,
+    PROJECTOR_TYPE_GEMMA4A,
     PROJECTOR_TYPE_PHI4,
     PROJECTOR_TYPE_IDEFICS3,
     PROJECTOR_TYPE_PIXTRAL,
@@ -224,9 +273,11 @@ enum projector_type {
     PROJECTOR_TYPE_INTERNVL,
     PROJECTOR_TYPE_LLAMA4,
     PROJECTOR_TYPE_QWEN2A,
+    PROJECTOR_TYPE_QWEN3A,
     PROJECTOR_TYPE_GLMA,
     PROJECTOR_TYPE_QWEN25O, // will be replaced by QWEN2A or QWEN25VL depending on clip_ctx
     PROJECTOR_TYPE_VOXTRAL,
+    PROJECTOR_TYPE_MERALION,
     PROJECTOR_TYPE_MUSIC_FLAMINGO,
     PROJECTOR_TYPE_LFM2,
     PROJECTOR_TYPE_KIMIVL,
@@ -234,11 +285,14 @@ enum projector_type {
     PROJECTOR_TYPE_LIGHTONOCR,
     PROJECTOR_TYPE_COGVLM,
     PROJECTOR_TYPE_JANUS_PRO,
+    PROJECTOR_TYPE_DOTS_OCR,
+    PROJECTOR_TYPE_DEEPSEEKOCR,
     PROJECTOR_TYPE_LFM2A,
     PROJECTOR_TYPE_GLM4V,
     PROJECTOR_TYPE_YOUTUVL,
     PROJECTOR_TYPE_KIMIK25,
     PROJECTOR_TYPE_NEMOTRON_V2_VL,
+    PROJECTOR_TYPE_HUNYUANOCR,
     PROJECTOR_TYPE_UNKNOWN,
 };
 
@@ -251,9 +305,12 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_QWEN2VL,   "qwen2vl_merger"},
     { PROJECTOR_TYPE_QWEN25VL,  "qwen2.5vl_merger"},
     { PROJECTOR_TYPE_QWEN3VL,   "qwen3vl_merger"},
+    { PROJECTOR_TYPE_STEP3VL,   "step3vl"},
     { PROJECTOR_TYPE_GEMMA3,    "gemma3"},
     { PROJECTOR_TYPE_GEMMA3NV,  "gemma3nv"},
     { PROJECTOR_TYPE_GEMMA3NA,  "gemma3na"},
+    { PROJECTOR_TYPE_GEMMA4V,   "gemma4v"},
+    { PROJECTOR_TYPE_GEMMA4A,   "gemma4a"},
     { PROJECTOR_TYPE_PHI4,      "phi4"},
     { PROJECTOR_TYPE_IDEFICS3,  "idefics3"},
     { PROJECTOR_TYPE_PIXTRAL,   "pixtral"},
@@ -261,9 +318,11 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_INTERNVL,  "internvl"},
     { PROJECTOR_TYPE_LLAMA4,    "llama4"},
     { PROJECTOR_TYPE_QWEN2A,    "qwen2a"},
+    { PROJECTOR_TYPE_QWEN3A,    "qwen3a"},
     { PROJECTOR_TYPE_GLMA,      "glma"},
     { PROJECTOR_TYPE_QWEN25O,   "qwen2.5o"},
     { PROJECTOR_TYPE_VOXTRAL,   "voxtral"},
+    { PROJECTOR_TYPE_MERALION,  "meralion"},
     { PROJECTOR_TYPE_MUSIC_FLAMINGO, "musicflamingo"},
     { PROJECTOR_TYPE_LFM2,      "lfm2"},
     { PROJECTOR_TYPE_KIMIVL,    "kimivl"},
@@ -271,11 +330,14 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_LIGHTONOCR,"lightonocr"},
     { PROJECTOR_TYPE_COGVLM,    "cogvlm"},
     { PROJECTOR_TYPE_JANUS_PRO, "janus_pro"},
+    { PROJECTOR_TYPE_DOTS_OCR,  "dots_ocr"},
+    { PROJECTOR_TYPE_DEEPSEEKOCR,"deepseekocr"},
     { PROJECTOR_TYPE_LFM2A,     "lfm2a"},
     { PROJECTOR_TYPE_GLM4V,     "glm4v"},
     { PROJECTOR_TYPE_YOUTUVL,   "youtuvl"},
     { PROJECTOR_TYPE_KIMIK25,   "kimik25"},
     { PROJECTOR_TYPE_NEMOTRON_V2_VL, "nemotron_v2_vl"},
+    { PROJECTOR_TYPE_HUNYUANOCR, "hunyuanocr"},
 };
 
 static projector_type clip_projector_type_from_string(const std::string & str) {
@@ -457,6 +519,18 @@ static std::vector<std::string> string_split_str(std::string s, const std::strin
     return tokens;
 }
 
+// remove when moving to c++20
+inline bool string_starts_with(std::string_view str, std::string_view prefix) {
+    return str.size() >= prefix.size() &&
+           str.compare(0, prefix.size(), prefix) == 0;
+}
+
+// remove when moving to c++20
+inline bool string_ends_with(std::string_view str, std::string_view suffix) {
+    return str.size() >= suffix.size() &&
+           str.compare(str.size() - suffix.size(), suffix.size(), suffix) == 0;
+}
+
 //
 // gguf utils
 //
@@ -473,7 +547,7 @@ static std::string gguf_data_to_str(enum gguf_type type, const void * data, int
         case GGUF_TYPE_INT64:   return std::to_string(((const int64_t  *)data)[i]);
         case GGUF_TYPE_FLOAT32: return std::to_string(((const float    *)data)[i]);
         case GGUF_TYPE_FLOAT64: return std::to_string(((const double   *)data)[i]);
-        case GGUF_TYPE_BOOL:    return ((const bool *)data)[i] ? "true" : "false";
+        case GGUF_TYPE_BOOL:    return ((const int8_t *)data)[i] != 0 ? "true" : "false";
         default:                return string_format("unknown type %d", type);
     }
 }
diff --git a/tools/mtmd/clip-model.h b/tools/mtmd/clip-model.h
index eeb8da58e0829160c1e36ac00266a5977bdc5805..9a93584d9beb55d7f857daf6c1452e0207a83992 100644
--- a/tools/mtmd/clip-model.h
+++ b/tools/mtmd/clip-model.h
@@ -28,6 +28,13 @@ enum patch_merge_type {
     PATCH_MERGE_SPATIAL_UNPAD,
 };
 
+enum resize_algo {
+    RESIZE_ALGO_BILINEAR, // stretch to target resolution
+    RESIZE_ALGO_BICUBIC, // center-crop when aspect ratio doesn't match
+    RESIZE_ALGO_BICUBIC_PILLOW,
+    // RESIZE_ALGO_LANCZOS, // TODO
+};
+
 struct clip_hparams {
     int32_t image_size = 0;
     int32_t patch_size = 0;
@@ -37,10 +44,26 @@ struct clip_hparams {
     int32_t n_head = 0;
     int32_t n_layer = 0;
     // idefics3
+    int32_t n_merge = 0; // number of patch merges **per-side**
+
+    // for preprocessor
     int32_t image_longest_edge = 0;
     int32_t image_min_pixels = -1;
     int32_t image_max_pixels = -1;
-    int32_t n_merge = 0; // number of patch merges **per-side**
+    resize_algo image_resize_algo = RESIZE_ALGO_BICUBIC;
+    bool image_resize_pad = true; // if false, center-crop will be applied when resizing
+    std::array<uint8_t, 3> image_pad_color = {0, 0, 0};
+
+    // (preprocessor) for llava-uhd style models
+    std::vector<clip_image_size> image_res_candidates;
+    int32_t preproc_min_tiles = 0;
+    int32_t preproc_max_tiles = 0;
+    resize_algo image_resize_algo_rf = RESIZE_ALGO_BICUBIC;
+    resize_algo image_resize_algo_ov = RESIZE_ALGO_BILINEAR;
+    bool image_pad_rf = true;  // if true, refined image will be padded (e.g. llava-1.6)
+    bool image_pad_ov = false; // if true, overview image will be padded (e.g. llava-1.6)
+    std::array<uint8_t, 3> image_pad_color_rf = {0, 0, 0}; // padding color for refined image
+    std::array<uint8_t, 3> image_pad_color_ov = {0, 0, 0}; // padding color for overview image
 
     float image_mean[3];
     float image_std[3];
@@ -56,14 +79,16 @@ struct clip_hparams {
 
     float eps = 1e-6;
     float rope_theta = 0.0;
-
-    std::vector<clip_image_size> image_res_candidates; // for llava-uhd style models
-    int32_t image_crop_resolution;
     std::unordered_set<int32_t> vision_feature_layer;
     int32_t attn_window_size = 0;
     int32_t n_wa_pattern = 0;
     std::unordered_set<int32_t> wa_layer_indexes; // explicit layer indexes that use full attention (for irregular patterns like YoutuVL)
 
+    // deepseek-ocr (sam)
+    int32_t sam_n_layer = 0;
+    int32_t sam_n_head  = 0;
+    int32_t sam_n_embd  = 0;
+
     // audio
     int32_t n_mel_bins = 0; // whisper preprocessor
     int32_t proj_stack_factor = 0; // ultravox
@@ -99,9 +124,28 @@ struct clip_hparams {
         warmup_image_size = n_tok_per_side * patch_size * cur_merge;
         // TODO: support warmup size for custom token numbers
     }
+    // sam vit deepseek-ocr
+    std::vector<int32_t> global_attn_indices() const {
+        return {  2,  5,  8, 11 };
+    }
+    bool is_global_attn(int32_t layer) const {
+        const auto indices = global_attn_indices();
+
+        for (const auto & idx : indices) {
+            if (layer == idx) {
+                return true;
+            }
+        }
+
+        return false;
+    }
 };
 
 struct clip_layer {
+    // layernorm 1 (or layer input norm, or pre-attention norm)
+    ggml_tensor * ln_1_w = nullptr;
+    ggml_tensor * ln_1_b = nullptr;
+
     // attention
     ggml_tensor * k_w = nullptr;
     ggml_tensor * k_b = nullptr;
@@ -118,9 +162,7 @@ struct clip_layer {
     ggml_tensor * k_norm = nullptr;
     ggml_tensor * q_norm = nullptr;
 
-    // layernorm 1
-    ggml_tensor * ln_1_w = nullptr;
-    ggml_tensor * ln_1_b = nullptr;
+    ggml_tensor * attn_post_norm_w = nullptr;
 
     ggml_tensor * ff_up_w = nullptr;
     ggml_tensor * ff_up_b = nullptr;
@@ -129,13 +171,16 @@ struct clip_layer {
     ggml_tensor * ff_down_w = nullptr;
     ggml_tensor * ff_down_b = nullptr;
 
-    // layernorm 2
+    // layernorm 2 (or pre-FFN norm)
     ggml_tensor * ln_2_w = nullptr;
     ggml_tensor * ln_2_b = nullptr;
 
+    ggml_tensor * ff_post_norm_w = nullptr;
+
     // layer scale (no bias)
-    ggml_tensor * ls_1_w = nullptr;
-    ggml_tensor * ls_2_w = nullptr;
+    ggml_tensor * ls_1_w   = nullptr;
+    ggml_tensor * ls_2_w   = nullptr;
+    ggml_tensor * ls_out_w = nullptr; // gemma4
 
     // qwen3vl deepstack merger
     ggml_tensor * deepstack_norm_w = nullptr;
@@ -145,6 +190,9 @@ struct clip_layer {
     ggml_tensor * deepstack_fc2_w = nullptr;
     ggml_tensor * deepstack_fc2_b = nullptr;
 
+    // sam rel_pos
+    ggml_tensor * rel_pos_w = nullptr;
+    ggml_tensor * rel_pos_h = nullptr;
     // lfm2
     ggml_tensor * ff_norm_w     = nullptr;
     ggml_tensor * ff_norm_b     = nullptr;
@@ -169,6 +217,13 @@ struct clip_layer {
     ggml_tensor * conv_pw2_w    = nullptr;
     ggml_tensor * conv_pw2_b    = nullptr;
 
+    // gemma4 audio conformer per-layer
+    ggml_tensor * attn_pre_norm_w   = nullptr;
+    ggml_tensor * attn_k_rel_w      = nullptr;
+    ggml_tensor * per_dim_scale_w   = nullptr;
+    ggml_tensor * per_dim_k_scale_w = nullptr;
+    ggml_tensor * ff_post_norm_1_w  = nullptr;
+
     bool has_deepstack() const {
         return deepstack_fc1_w != nullptr;
     }
@@ -237,7 +292,6 @@ struct clip_model {
     ggml_tensor * post_ln_w;
     ggml_tensor * post_ln_b;
 
-    ggml_tensor * projection; // TODO: rename it to fc (fully connected layer)
     ggml_tensor * mm_fc_w;
     ggml_tensor * mm_fc_b;
     ggml_tensor * mm_ffn_up_w = nullptr;
@@ -258,6 +312,8 @@ struct clip_model {
     ggml_tensor * mm_2_b = nullptr;
 
     ggml_tensor * image_newline = nullptr;
+    ggml_tensor * view_seperator = nullptr;
+
 
     // Yi type models with mlp+normalization projection
     ggml_tensor * mm_1_w = nullptr; // Yi type models have 0, 1, 3, 4
@@ -308,7 +364,8 @@ struct clip_model {
     // MINICPMV projection
     ggml_tensor * mm_model_pos_embed_k = nullptr;
     ggml_tensor * mm_model_query = nullptr;
-    ggml_tensor * mm_model_proj = nullptr;
+    ggml_tensor * mm_model_proj   = nullptr;
+    ggml_tensor * mm_model_proj_b = nullptr;
     ggml_tensor * mm_model_kv_proj = nullptr;
     ggml_tensor * mm_model_attn_q_w = nullptr;
     ggml_tensor * mm_model_attn_q_b = nullptr;
@@ -356,10 +413,20 @@ struct clip_model {
     ggml_tensor * conv1d_1_b = nullptr;
     ggml_tensor * conv1d_2_w = nullptr;
     ggml_tensor * conv1d_2_b = nullptr;
+    ggml_tensor * conv_out_w = nullptr;
+    ggml_tensor * conv_out_b = nullptr;
     ggml_tensor * mm_norm_pre_w = nullptr;
     ggml_tensor * mm_norm_pre_b = nullptr;
     ggml_tensor * mm_norm_mid_w = nullptr;
 
+    // qwen3a
+    ggml_tensor * conv2d_1_w = nullptr;
+    ggml_tensor * conv2d_1_b = nullptr;
+    ggml_tensor * conv2d_2_w = nullptr;
+    ggml_tensor * conv2d_2_b = nullptr;
+    ggml_tensor * conv2d_3_w = nullptr;
+    ggml_tensor * conv2d_3_b = nullptr;
+
     // cogvlm
     ggml_tensor * mm_post_fc_norm_w = nullptr;
     ggml_tensor * mm_post_fc_norm_b = nullptr;
@@ -369,12 +436,55 @@ struct clip_model {
     ggml_tensor * mm_boi = nullptr;
     ggml_tensor * mm_eoi = nullptr;
 
+    // hunyuanocr perceiver
+    ggml_tensor * mm_pre_norm_w  = nullptr;
+    ggml_tensor * mm_img_begin   = nullptr;
+    ggml_tensor * mm_img_end     = nullptr;
+
+    // deepseek ocr sam
+    ggml_tensor * patch_embed_proj_w = nullptr;
+    ggml_tensor * patch_embed_proj_b = nullptr;
+    ggml_tensor * pos_embed          = nullptr;
+
+    ggml_tensor * neck_0_w;
+    ggml_tensor * neck_1_w;
+    ggml_tensor * neck_1_b;
+    ggml_tensor * neck_2_w;
+    ggml_tensor * neck_3_w;
+    ggml_tensor * neck_3_b;
+    ggml_tensor * net_2;
+    ggml_tensor * net_3;
+
+    int32_t n_sam_layers = 12; // used by deepseek-ocr sam encoder
+
+    std::vector<clip_layer> sam_layers;
     // lfm2 audio
     std::array<ggml_tensor *, 7> pre_encode_conv_X_w = {nullptr};
     std::array<ggml_tensor *, 7> pre_encode_conv_X_b = {nullptr};
     ggml_tensor * pre_encode_out_w = nullptr;
     ggml_tensor * pre_encode_out_b = nullptr;
 
+    // gemma4
+    ggml_tensor * std_bias = nullptr;
+    ggml_tensor * std_scale = nullptr;
+    // Gemma4ClippableLinear
+    struct clamp_info {
+        float inp_max;
+        float inp_min;
+        float out_max;
+        float out_min;
+    };
+    std::map<std::string, clamp_info> clamp_info_map;
+
+    // gemma4 audio conformer
+    std::array<ggml_tensor *, 2> sscp_conv_w = {nullptr};
+    std::array<ggml_tensor *, 2> sscp_conv_b = {nullptr};
+    std::array<ggml_tensor *, 2> sscp_norm_w = {nullptr};
+    ggml_tensor * sscp_inp_proj_w = nullptr;
+    ggml_tensor * sscp_inp_proj_b = nullptr;
+    ggml_tensor * audio_out_proj_w = nullptr;
+    ggml_tensor * audio_out_proj_b = nullptr;
+
     bool audio_has_avgpool() const {
         return proj_type == PROJECTOR_TYPE_QWEN2A
             || proj_type == PROJECTOR_TYPE_VOXTRAL
@@ -383,7 +493,8 @@ struct clip_model {
 
     bool audio_has_stack_frames() const {
         return proj_type == PROJECTOR_TYPE_ULTRAVOX
-            || proj_type == PROJECTOR_TYPE_VOXTRAL;
+            || proj_type == PROJECTOR_TYPE_VOXTRAL
+            || proj_type == PROJECTOR_TYPE_MERALION;
     }
 };
 
diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp
index 3d6cf6fd8493bc839213224073dea1e0eb2e7360..f0e8786b6601e29b939578964b2b6f268cb973c9 100644
--- a/tools/mtmd/clip.cpp
+++ b/tools/mtmd/clip.cpp
@@ -24,6 +24,7 @@
 #include <limits>
 #include <array>
 #include <functional>
+#include <float.h>
 
 struct clip_logger_state g_logger_state = {clip_log_callback_default, NULL};
 
@@ -255,6 +256,10 @@ clip_graph::clip_graph(clip_ctx * ctx, const clip_image_f32 & img) :
     gf = ggml_new_graph_custom(ctx0, ctx->max_nodes, false);
 }
 
+ggml_tensor * clip_graph::build_mm(ggml_tensor * w, ggml_tensor * x) const {
+    return ggml_mul_mat(ctx0, w, x);
+}
+
 void clip_graph::cb(ggml_tensor * cur, const char * name, int il) const {
     if (il >= 0) {
         ggml_format_name(cur, "%s-%d", name, il);
@@ -326,7 +331,7 @@ ggml_tensor * clip_graph::build_vit(
             ggml_tensor * Vcur = nullptr;
             if (layer.qkv_w != nullptr) {
                 // fused qkv
-                cur = ggml_mul_mat(ctx0, layer.qkv_w, cur);
+                cur = build_mm(layer.qkv_w, cur);
                 if (layer.qkv_b != nullptr) {
                     cur = ggml_add(ctx0, cur, layer.qkv_b);
                 }
@@ -360,34 +365,49 @@ ggml_tensor * clip_graph::build_vit(
 
             } else {
                 // separate q, k, v
-                Qcur = ggml_mul_mat(ctx0, layer.q_w, cur);
+                Qcur = build_mm(layer.q_w, cur);
                 if (layer.q_b) {
                     Qcur = ggml_add(ctx0, Qcur, layer.q_b);
                 }
 
-                Kcur = ggml_mul_mat(ctx0, layer.k_w, cur);
+                Kcur = build_mm(layer.k_w, cur);
                 if (layer.k_b) {
                     Kcur = ggml_add(ctx0, Kcur, layer.k_b);
                 }
 
-                Vcur = ggml_mul_mat(ctx0, layer.v_w, cur);
+                Vcur = build_mm(layer.v_w, cur);
                 if (layer.v_b) {
                     Vcur = ggml_add(ctx0, Vcur, layer.v_b);
                 }
 
-                if (layer.q_norm) {
-                    Qcur = build_norm(Qcur, layer.q_norm, NULL, norm_t, eps, il);
-                    cb(Qcur, "Qcur_norm", il);
-                }
+                // if true, norm must be applied after reshaping to (d_head, n_head, n_pos)
+                bool norm_per_head = layer.q_norm && layer.q_norm->ne[0] == d_head;
 
-                if (layer.k_norm) {
-                    Kcur = build_norm(Kcur, layer.k_norm, NULL, norm_t, eps, il);
-                    cb(Kcur, "Kcur_norm", il);
+                if (!norm_per_head) {
+                    if (layer.q_norm) {
+                        Qcur = build_norm(Qcur, layer.q_norm, NULL, norm_t, eps, il);
+                        cb(Qcur, "Qcur_norm", il);
+                    }
+                    if (layer.k_norm) {
+                        Kcur = build_norm(Kcur, layer.k_norm, NULL, norm_t, eps, il);
+                        cb(Kcur, "Kcur_norm", il);
+                    }
                 }
 
                 Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos);
                 Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos);
                 Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos);
+
+                if (norm_per_head) {
+                    if (layer.q_norm) {
+                        Qcur = build_norm(Qcur, layer.q_norm, NULL, norm_t, eps, il);
+                        cb(Qcur, "Qcur_norm_per_head", il);
+                    }
+                    if (layer.k_norm) {
+                        Kcur = build_norm(Kcur, layer.k_norm, NULL, norm_t, eps, il);
+                        cb(Kcur, "Kcur_norm_per_head", il);
+                    }
+                }
             }
 
             cb(Qcur, "Qcur", il);
@@ -401,6 +421,11 @@ ggml_tensor * clip_graph::build_vit(
                 cb(Kcur, "Kcur_pos", il);
             }
 
+            if (proj_type == PROJECTOR_TYPE_GEMMA4V) {
+                Vcur = ggml_rms_norm(ctx0, Vcur, eps);
+                cb(Vcur, "Vcur_normed", il);
+            }
+
             cur = build_attn(layer.o_w, layer.o_b,
                 Qcur, Kcur, Vcur, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
@@ -411,6 +436,11 @@ ggml_tensor * clip_graph::build_vit(
             cb(cur, "attn_out_scaled", il);
         }
 
+        if (layer.attn_post_norm_w) {
+            cur = build_norm(cur, layer.attn_post_norm_w, nullptr, norm_t, eps, il);
+            cb(cur, "attn_post_normed", il);
+        }
+
         // re-add the layer input, e.g., residual
         cur = ggml_add(ctx0, cur, inpL);
 
@@ -418,7 +448,7 @@ ggml_tensor * clip_graph::build_vit(
 
         cb(cur, "ffn_inp", il);
 
-        // layernorm2
+        // layernorm2 (pre-ffn norm)
         cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, norm_t, eps, il);
         cb(cur, "ffn_inp_normed", il);
 
@@ -431,6 +461,11 @@ ggml_tensor * clip_graph::build_vit(
 
         cb(cur, "ffn_out", il);
 
+        if (layer.ff_post_norm_w) {
+            cur = build_norm(cur, layer.ff_post_norm_w, nullptr, norm_t, eps, il);
+            cb(cur, "ffn_post_normed", il);
+        }
+
         if (layer.ls_2_w) {
             cur = ggml_mul(ctx0, cur, layer.ls_2_w);
             cb(cur, "ffn_out_scaled", il);
@@ -440,6 +475,11 @@ ggml_tensor * clip_graph::build_vit(
         cur = ggml_add(ctx0, inpL, cur);
         cb(cur, "layer_out", il);
 
+        if (layer.ls_out_w) {
+            cur = ggml_mul(ctx0, cur, layer.ls_out_w);
+            cb(cur, "layer_out_scaled", il);
+        }
+
         inpL = cur;
     }
 
@@ -517,7 +557,7 @@ ggml_tensor * clip_graph::build_ffn(
         ffn_op_type type_op,
         int il) const {
 
-    ggml_tensor * tmp = up ? ggml_mul_mat(ctx0, up, cur) : cur;
+    ggml_tensor * tmp = up ? build_mm(up, cur) : cur;
     cb(tmp, "ffn_up", il);
 
     if (up_b) {
@@ -526,7 +566,7 @@ ggml_tensor * clip_graph::build_ffn(
     }
 
     if (gate) {
-        cur = ggml_mul_mat(ctx0, gate, cur);
+        cur = build_mm(gate, cur);
         cb(cur, "ffn_gate", il);
 
         if (gate_b) {
@@ -580,7 +620,7 @@ ggml_tensor * clip_graph::build_ffn(
     }
 
     if (down) {
-        cur = ggml_mul_mat(ctx0, down, cur);
+        cur = build_mm(down, cur);
     }
 
     if (down_b) {
@@ -646,7 +686,7 @@ ggml_tensor * clip_graph::build_attn(
     cb(cur, "kqv_out", il);
 
     if (wo) {
-        cur = ggml_mul_mat(ctx0, wo, cur);
+        cur = build_mm(wo, cur);
     }
 
     if (wo_b) {
@@ -804,11 +844,19 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_mobilenetv5>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_GEMMA4V:
+            {
+                builder = std::make_unique<clip_graph_gemma4v>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_PIXTRAL:
         case PROJECTOR_TYPE_LIGHTONOCR:
             {
                 builder = std::make_unique<clip_graph_pixtral>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_DOTS_OCR:
+            {
+                builder = std::make_unique<clip_graph_dotsocr>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_QWEN2VL:
         case PROJECTOR_TYPE_QWEN25VL:
             {
@@ -818,6 +866,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_qwen3vl>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_STEP3VL:
+            {
+                builder = std::make_unique<clip_graph_step3vl>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_MINICPMV:
             {
                 builder = std::make_unique<clip_graph_minicpmv>(ctx, img);
@@ -838,6 +890,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_QWEN2A:
         case PROJECTOR_TYPE_GLMA:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             {
                 builder = std::make_unique<clip_graph_whisper_enc>(ctx, img);
@@ -858,6 +911,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_cogvlm>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_HUNYUANOCR:
+            {
+                builder = std::make_unique<clip_graph_hunyuanocr>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_MLP:
         case PROJECTOR_TYPE_MLP_NORM:
         case PROJECTOR_TYPE_LDP:
@@ -866,14 +923,26 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_llava>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_DEEPSEEKOCR:
+            {
+                builder = std::make_unique<clip_graph_deepseekocr>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_LFM2A:
             {
                 builder = std::make_unique<clip_graph_conformer>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_GEMMA4A:
+            {
+                builder = std::make_unique<clip_graph_gemma4a>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_GLM4V:
             {
                 builder = std::make_unique<clip_graph_glm4v>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_QWEN3A:
+            {
+                builder = std::make_unique<clip_graph_qwen3a>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_YOUTUVL:
             {
                 builder = std::make_unique<clip_graph_youtuvl>(ctx, img);
@@ -1021,7 +1090,6 @@ struct clip_model_loader {
             if (is_vision) {
                 get_u32(KEY_IMAGE_SIZE, hparams.image_size);
                 get_u32(KEY_PATCH_SIZE, hparams.patch_size);
-                get_u32(KEY_IMAGE_CROP_RESOLUTION, hparams.image_crop_resolution, false);
                 get_i32(KEY_MINICPMV_VERSION, hparams.minicpmv_version, false); // legacy
                 get_u32(KEY_MINICPMV_QUERY_NUM, hparams.minicpmv_query_num, false);
                 if (hparams.minicpmv_query_num == 0) {
@@ -1067,11 +1135,6 @@ struct clip_model_loader {
             // default warmup value
             hparams.warmup_image_size = hparams.image_size;
 
-            hparams.has_llava_projector = model.proj_type == PROJECTOR_TYPE_MLP
-                                       || model.proj_type == PROJECTOR_TYPE_MLP_NORM
-                                       || model.proj_type == PROJECTOR_TYPE_LDP
-                                       || model.proj_type == PROJECTOR_TYPE_LDPV2;
-
             {
                 bool use_gelu = false;
                 bool use_silu = false;
@@ -1127,24 +1190,65 @@ struct clip_model_loader {
 
             // model-specific params
             switch (model.proj_type) {
+                case PROJECTOR_TYPE_MLP:
+                case PROJECTOR_TYPE_MLP_NORM:
+                case PROJECTOR_TYPE_LDP:
+                case PROJECTOR_TYPE_LDPV2:
+                case PROJECTOR_TYPE_COGVLM:
+                    {
+                        hparams.has_llava_projector = model.proj_type != PROJECTOR_TYPE_COGVLM;
+                        hparams.image_pad_color     = {122, 116, 104};
+                        if (!hparams.image_res_candidates.empty()) {
+                            hparams.image_resize_pad  = true;
+                            hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
+                        } else {
+                            // llava-1.6 default params
+                            hparams.image_pad_ov         = false;
+                            hparams.image_pad_rf         = true;
+                            hparams.image_pad_color_rf   = {122, 116, 104};
+                            hparams.image_resize_algo_rf = RESIZE_ALGO_BICUBIC;
+                            hparams.image_resize_algo_ov = RESIZE_ALGO_BILINEAR;
+                        }
+                    } break;
+                case PROJECTOR_TYPE_GLM_EDGE:
+                    {
+                        hparams.image_resize_pad  = true;
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
+                    } break;
                 case PROJECTOR_TYPE_MINICPMV:
                     {
+                        // use default llava-uhd preprocessing params
                         if (hparams.minicpmv_version == 0) {
                             hparams.minicpmv_version = 2; // default to 2 if not set
                         }
                     } break;
                 case PROJECTOR_TYPE_INTERNVL:
+                    {
+                        // use default llava-uhd preprocessing params
+                        // older version of internvl doesn't have min/max tiles, we need to provide default values for them to avoid issues
+                        hparams.preproc_min_tiles = 1;
+                        hparams.preproc_max_tiles = 12;
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
+                        get_u32(KEY_PREPROC_MIN_TILES, hparams.preproc_min_tiles, false);
+                        get_u32(KEY_PREPROC_MAX_TILES, hparams.preproc_max_tiles, false);
+                        GGML_ASSERT(hparams.preproc_min_tiles <= hparams.preproc_max_tiles && hparams.preproc_max_tiles < INT32_MAX);
+                        set_internvl_dhr_res_candidates(model);
+                    } break;
                 case PROJECTOR_TYPE_NEMOTRON_V2_VL:
                     {
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
                     } break;
                 case PROJECTOR_TYPE_IDEFICS3:
                     {
+                        // use default llava-uhd preprocessing params
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
                         get_u32(KEY_PREPROC_IMAGE_SIZE, hparams.image_longest_edge, false);
                     } break;
                 case PROJECTOR_TYPE_LFM2:
                     {
+                        hparams.image_resize_algo    = RESIZE_ALGO_BILINEAR;
+                        hparams.image_resize_algo_rf = RESIZE_ALGO_BILINEAR;
+                        hparams.image_resize_algo_ov = RESIZE_ALGO_BILINEAR;
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
                         // ref: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B/blob/main/processor_config.json
                         hparams.set_limit_image_tokens(64, 256);
@@ -1152,23 +1256,43 @@ struct clip_model_loader {
                 case PROJECTOR_TYPE_PHI4:
                     {
                         hparams.n_merge = 1;
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
                         get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
                         hparams.set_warmup_n_tokens(16*16);
                     } break;
                 case PROJECTOR_TYPE_PIXTRAL:
-                case PROJECTOR_TYPE_LIGHTONOCR:
                     {
                         // ref: https://huggingface.co/mistral-community/pixtral-12b/blob/main/preprocessor_config.json
                         // TODO: verify the image_min_tokens
                         hparams.n_merge = 1; // the original pixtral does not use patch merging
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         hparams.rope_theta = 10000.0f;
                         get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
                         hparams.set_limit_image_tokens(8, 1024);
                         hparams.set_warmup_n_tokens(256); // avoid OOM on warmup
                     } break;
+                case PROJECTOR_TYPE_LIGHTONOCR:
+                    {
+                        hparams.n_merge = 1;
+                        hparams.image_resize_algo = RESIZE_ALGO_BICUBIC;
+                        hparams.rope_theta = 10000.0f;
+                        get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
+                        hparams.image_longest_edge = hparams.image_size;
+                        get_u32(KEY_PREPROC_IMAGE_SIZE, hparams.image_longest_edge, false);
+                        hparams.set_warmup_n_tokens(256); // avoid OOM on warmup
+                    } break;
+                case PROJECTOR_TYPE_DOTS_OCR:
+                    {
+                        hparams.rope_theta = 10000.0f;
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge);
+                        get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
+                        get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
+                        hparams.set_warmup_n_tokens(46*46); // avoid OOM on warmup
+                    } break;
                 case PROJECTOR_TYPE_KIMIVL:
                     {
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         hparams.rope_theta = 10000.0f;
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
                         // TODO: check kimivl preprocessor for exact values
@@ -1177,6 +1301,7 @@ struct clip_model_loader {
                     } break;
                 case PROJECTOR_TYPE_KIMIK25:
                     {
+                        hparams.image_resize_algo = RESIZE_ALGO_BICUBIC;
                         hparams.rope_theta = 10000.0f;
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
 
@@ -1196,10 +1321,22 @@ struct clip_model_loader {
                         // default value (used by all model sizes in gemma 3 family)
                         // number of patches for each **side** is reduced by a factor of 4
                         hparams.n_merge = 4;
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         // test model (tinygemma3) has a different value, we optionally read it
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
                     } break;
 
+                case PROJECTOR_TYPE_GEMMA4V:
+                    {
+                        hparams.rope_theta = 100.0f;
+                        hparams.n_merge = 3; // pooling_kernel_size
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
+                        // @ngxson : the model performs quite poor with small images, we need to bump minimum image tokens to 40 to avoid that
+                        hparams.set_limit_image_tokens(252, 280);
+                        hparams.set_warmup_n_tokens(256); // avoid OOM on warmup
+                    } break;
+
                 case PROJECTOR_TYPE_GEMMA3NV:
                     {
                         // Gemma3n uses MobileNetV5 which produces 256 tokens (16x16)
@@ -1212,6 +1349,7 @@ struct clip_model_loader {
                 case PROJECTOR_TYPE_QWEN3VL:
                     {
                         hparams.n_merge = 2; // default value for Qwen 2 and 2.5
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
                         get_u32(KEY_WIN_ATTN_PATTERN, hparams.n_wa_pattern, model.proj_type == PROJECTOR_TYPE_QWEN25VL); // only 2.5 requires it
                         // ref: https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct/blob/main/preprocessor_config.json
@@ -1224,9 +1362,22 @@ struct clip_model_loader {
                             LOG_WRN("%s: more info: https://github.com/ggml-org/llama.cpp/issues/16842\n\n", __func__);
                         }
                     } break;
+                case PROJECTOR_TYPE_STEP3VL:
+                    {
+                        hparams.n_merge = 4; // two stride-2 downsamplers after patching
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
+                        hparams.rope_theta = 10000.0f;
+                        get_u32(KEY_PREPROC_IMAGE_SIZE, hparams.image_longest_edge, false);
+                        if (hparams.image_longest_edge == 0) {
+                            hparams.image_longest_edge = 3024;
+                        }
+                        hparams.warmup_image_size = hparams.image_size;
+                    } break;
                 case PROJECTOR_TYPE_YOUTUVL:
                     {
                         hparams.n_merge = 2;
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
+                        hparams.image_resize_pad  = false;
                         get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
                         get_u32(KEY_ATTN_WINDOW_SIZE, hparams.attn_window_size, true);
                         std::vector<int> wa_layer_indexes_vec;
@@ -1242,6 +1393,7 @@ struct clip_model_loader {
                     {
                         hparams.rope_theta = 10000.0f;
                         hparams.n_merge = 2; // default value for GLM4-V
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
                         hparams.set_limit_image_tokens(8, 4096);
                         hparams.set_warmup_n_tokens(46*46); // avoid OOM on warmup
@@ -1254,12 +1406,15 @@ struct clip_model_loader {
                     } break;
                 case PROJECTOR_TYPE_ULTRAVOX:
                 case PROJECTOR_TYPE_QWEN2A:
+                case PROJECTOR_TYPE_QWEN3A:
                 case PROJECTOR_TYPE_GLMA:
                 case PROJECTOR_TYPE_VOXTRAL:
+                case PROJECTOR_TYPE_MERALION:
                 case PROJECTOR_TYPE_MUSIC_FLAMINGO:
                     {
                         bool require_stack = model.proj_type == PROJECTOR_TYPE_ULTRAVOX ||
                                              model.proj_type == PROJECTOR_TYPE_VOXTRAL ||
+                                             model.proj_type == PROJECTOR_TYPE_MERALION ||
                                              model.proj_type == PROJECTOR_TYPE_GLMA;
                         get_u32(KEY_A_PROJ_STACK_FACTOR, hparams.proj_stack_factor, require_stack);
                         hparams.ffn_op = FFN_GELU_ERF;
@@ -1275,11 +1430,35 @@ struct clip_model_loader {
                 case PROJECTOR_TYPE_PADDLEOCR:
                     {
                         hparams.n_merge = 2;
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
                         get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
                         get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
 
                         hparams.set_warmup_n_tokens(28*28); // avoid OOM on warmup
                     } break;
+                case PROJECTOR_TYPE_DEEPSEEKOCR:
+                    {
+                        hparams.patch_size = 16;
+                        hparams.image_size = 1024;
+                        hparams.warmup_image_size = 1024;
+                        hparams.image_resize_algo = RESIZE_ALGO_BICUBIC_PILLOW;
+                        hparams.image_pad_color[0] = hparams.image_mean[0];
+                        hparams.image_pad_color[1] = hparams.image_mean[1];
+                        hparams.image_pad_color[2] = hparams.image_mean[2];
+
+                        get_u32(KEY_SAM_N_BLOCK, hparams.sam_n_layer, true);
+                        get_u32(KEY_SAM_N_HEAD, hparams.sam_n_head, true);
+                        get_u32(KEY_SAM_N_EMBD, hparams.sam_n_embd, true);
+                        get_u32(KEY_ATTN_WINDOW_SIZE, hparams.attn_window_size, true);
+                     } break;
+                case PROJECTOR_TYPE_HUNYUANOCR:
+                    {
+                        hparams.n_merge = 2;
+                        get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
+                        get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
+                        get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
+                        hparams.set_warmup_n_tokens(28*28);
+                    } break;
                 case PROJECTOR_TYPE_LFM2A:
                     {
                         // audio preprocessing params
@@ -1289,12 +1468,37 @@ struct clip_model_loader {
                         hparams.audio_window_len       = 400;
                         hparams.audio_hop_len          = 160;
                     } break;
+                case PROJECTOR_TYPE_GEMMA4A:
+                    {
+                        // Gemma4 feature_extraction_gemma4.py:
+                        // frame_length_ms=20 -> 320 samples, n_fft=512, hop=10ms -> 160
+                        hparams.audio_chunk_len        = 0;  // no fixed-length padding
+                        hparams.audio_sample_rate      = 16000;
+                        hparams.audio_n_fft            = 512;
+                        hparams.audio_window_len       = 320;  // 20ms frame (NOT 25ms/400)
+                        hparams.audio_hop_len          = 160;
+                    } break;
+                case PROJECTOR_TYPE_JANUS_PRO:
+                    {
+                        hparams.image_pad_color   = {127, 127, 127};
+                        hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
+                    } break;
                 default:
-                    break;
+                    throw std::runtime_error(string_format("%s: unknown vision projector type %s\n", __func__, proj_type.c_str()));
             }
 
             // sanity check
             {
+                if (hparams.image_size < 0) {
+                    // note: some models having hparams.image_size == 0, which means the image size is dynamic
+                    throw std::runtime_error(string_format("%s: image_size (%d) cannot be negative\n", __func__, hparams.image_size));
+                }
+                if (hparams.patch_size <= 0) {
+                    throw std::runtime_error(string_format("%s: patch_size (%d) must be greater than 0\n", __func__, hparams.patch_size));
+                }
+                if (hparams.n_embd <= 0) {
+                    throw std::runtime_error(string_format("%s: n_embd (%d) must be greater than 0\n", __func__, hparams.n_embd));
+                }
                 if (hparams.image_max_pixels < hparams.image_min_pixels) {
                     throw std::runtime_error(string_format("%s: image_max_pixels (%d) is less than image_min_pixels (%d)\n", __func__, hparams.image_max_pixels, hparams.image_min_pixels));
                 }
@@ -1350,6 +1554,11 @@ struct clip_model_loader {
         std::map<std::string, size_t> tensor_offset;
         std::vector<ggml_tensor *> tensors_to_load;
 
+        auto fin = std::ifstream(fname, std::ios::binary);
+        if (!fin) {
+            throw std::runtime_error(string_format("%s: failed to open %s\n", __func__, fname.c_str()));
+        }
+
         // TODO @ngxson : support both audio and video in the future
         const char * prefix = model.modality == CLIP_MODALITY_AUDIO ? "a" : "v";
 
@@ -1371,21 +1580,38 @@ struct clip_model_loader {
         }
 
         // helper function
+        std::unordered_set<std::string> loaded_tensor_names;
         auto get_tensor = [&](const std::string & name, bool required = true) {
+            // Each tensor should only be loaded once; duplicates indicate a bug
+            if (loaded_tensor_names.count(name)) {
+                throw std::runtime_error(string_format("%s: tensor already loaded: %s\n", __func__, name.c_str()));
+            }
             ggml_tensor * cur = ggml_get_tensor(ctx_meta.get(), name.c_str());
             if (!cur && required) {
                 throw std::runtime_error(string_format("%s: unable to find tensor %s\n", __func__, name.c_str()));
             }
             if (cur) {
                 tensors_to_load.push_back(cur);
-                // add tensors to context
                 ggml_tensor * data_tensor = ggml_dup_tensor(ctx_clip.ctx_data.get(), cur);
                 ggml_set_name(data_tensor, cur->name);
+                loaded_tensor_names.insert(name);
                 cur = data_tensor;
             }
             return cur;
         };
 
+        auto get_scalar = [&](const std::string & name, float default_val) {
+            auto it = tensor_offset.find(name);
+            if (it == tensor_offset.end()) {
+                return default_val;
+            }
+            size_t offset = it->second;
+            fin.seekg(offset, std::ios::beg);
+            float value;
+            fin.read(reinterpret_cast<char*>(&value), sizeof(float));
+            return value;
+        };
+
         model.class_embedding = get_tensor(TN_CLASS_EMBD, false);
 
         model.pre_ln_w = get_tensor(string_format(TN_LN_PRE, prefix, "weight"), false);
@@ -1420,8 +1646,11 @@ struct clip_model_loader {
             layer.q_norm = get_tensor(string_format(TN_ATTN_Q_NORM, prefix, il, "weight"), false);
             layer.ln_1_w = get_tensor(string_format(TN_LN_1,        prefix, il, "weight"), false);
             layer.ln_2_w = get_tensor(string_format(TN_LN_2,        prefix, il, "weight"), false);
-            layer.ls_1_w = get_tensor(string_format(TN_LS_1,        prefix, il, "weight"), false); // no bias
-            layer.ls_2_w = get_tensor(string_format(TN_LS_2,        prefix, il, "weight"), false); // no bias
+            layer.ls_1_w        = get_tensor(string_format(TN_LS_1,         prefix, il, "weight"), false); // no bias
+            layer.ls_2_w        = get_tensor(string_format(TN_LS_2,         prefix, il, "weight"), false); // no bias
+            layer.ls_out_w      = get_tensor(string_format(TN_LS_OUT,        prefix, il, "weight"), false); // no bias
+            layer.attn_post_norm_w = get_tensor(string_format(TN_ATTN_POST_NORM, prefix, il, "weight"), false); // no bias
+            layer.ff_post_norm_w   = get_tensor(string_format(TN_FFN_POST_NORM,  prefix, il, "weight"), false); // no bias
 
             layer.k_b    = get_tensor(string_format(TN_ATTN_K,      prefix, il, "bias"), false);
             layer.q_b    = get_tensor(string_format(TN_ATTN_Q,      prefix, il, "bias"), false);
@@ -1594,6 +1823,14 @@ struct clip_model_loader {
                     model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
                     model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
                 } break;
+            case PROJECTOR_TYPE_STEP3VL:
+                {
+                    model.mm_0_w     = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b     = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"), false);
+                    model.mm_1_w     = get_tensor(string_format(TN_LLAVA_PROJ, 1, "weight"));
+                    model.mm_1_b     = get_tensor(string_format(TN_LLAVA_PROJ, 1, "bias"), false);
+                    model.mm_model_proj = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
+                } break;
             case PROJECTOR_TYPE_YOUTUVL:
                 {
                     model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM);        // merger.ln_q (RMS norm)
@@ -1604,7 +1841,7 @@ struct clip_model_loader {
                 } break;
             case PROJECTOR_TYPE_GLM4V:
                 {
-                    model.projection     = get_tensor(TN_MM_PROJECTOR);
+                    model.mm_fc_w        = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
                     model.mm_ffn_up_w    = get_tensor(string_format(TN_MM_UP,        "weight"));
                     model.mm_ffn_up_b    = get_tensor(string_format(TN_MM_UP,        "bias"), false);
                     model.mm_ffn_gate_w  = get_tensor(string_format(TN_MM_GATE,      "weight"));
@@ -1621,6 +1858,32 @@ struct clip_model_loader {
                     model.mm_input_proj_w = get_tensor(TN_MM_INP_PROJ);
                     model.mm_soft_emb_norm_w = get_tensor(TN_MM_SOFT_EMB_N);
                 } break;
+            case PROJECTOR_TYPE_GEMMA4V:
+                {
+                    model.mm_input_proj_w = get_tensor(TN_MM_INP_PROJ);
+                    model.std_bias  = get_tensor(TN_STD_BIAS,  false);
+                    model.std_scale = get_tensor(TN_STD_SCALE, false);
+                    // load scalar for Gemma4ClippableLinear
+                    for (auto * tensor : tensors_to_load) {
+                        std::string name = tensor->name;
+                        if (string_ends_with(name, ".weight")) {
+                            std::string name_inp_max = name;
+                            std::string name_inp_min = name;
+                            std::string name_out_max = name;
+                            std::string name_out_min = name;
+                            string_replace_all(name_inp_max, ".weight", ".input_max");
+                            string_replace_all(name_inp_min, ".weight", ".input_min");
+                            string_replace_all(name_out_max, ".weight", ".output_max");
+                            string_replace_all(name_out_min, ".weight", ".output_min");
+                            model.clamp_info_map[name] = {
+                                get_scalar(name_inp_max, FLT_MAX),
+                                get_scalar(name_inp_min, -FLT_MAX),
+                                get_scalar(name_out_max, FLT_MAX),
+                                get_scalar(name_out_min, -FLT_MAX)
+                            };
+                        }
+                    }
+                } break;
             case PROJECTOR_TYPE_GEMMA3NV:
                 {
                     model.mobilenet_stem_conv_w = get_tensor(TN_MNV5_STEM_CONV, false);
@@ -1716,7 +1979,7 @@ struct clip_model_loader {
                 } break;
             case PROJECTOR_TYPE_IDEFICS3:
                 {
-                    model.projection = get_tensor(TN_MM_PROJECTOR);
+                    model.mm_fc_w = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
                 } break;
             case PROJECTOR_TYPE_LFM2:
                 {
@@ -1759,6 +2022,17 @@ struct clip_model_loader {
                     model.mm_input_norm_w   = get_tensor(TN_MM_INP_NORM, false);
                     model.mm_patch_merger_w = get_tensor(string_format(TN_MM_PATCH_MERGER, "weight"), false);
                 } break;
+            case PROJECTOR_TYPE_DOTS_OCR:
+                {
+                    model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
+                    model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM);
+                    model.mm_input_norm_b = get_tensor(TN_MM_INP_NORM_B);
+                    // post_trunk_norm: applied after all ViT blocks, before the merger
+                    model.post_ln_w = get_tensor(string_format(TN_MM_POST_NORM, "weight"));
+                } break;
             case PROJECTOR_TYPE_ULTRAVOX:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -1770,6 +2044,30 @@ struct clip_model_loader {
                     model.mm_norm_pre_w = get_tensor(string_format(TN_MM_NORM_PRE, "weight"));
                     model.mm_norm_mid_w = get_tensor(string_format(TN_MM_NORM_MID, "weight"));
                 } break;
+            case PROJECTOR_TYPE_MERALION:
+                {
+                    // Whisper encoder conv layers
+                    model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
+                    model.conv1d_1_b = get_tensor(string_format(TN_CONV1D, 1, "bias"));
+                    model.conv1d_2_w = get_tensor(string_format(TN_CONV1D, 2, "weight"));
+                    model.conv1d_2_b = get_tensor(string_format(TN_CONV1D, 2, "bias"));
+                    // MERaLiON adaptor: 4 linear layers + ln_pre
+                    // linear_0 = frame compression (19200->6400) + SiLU
+                    // linear_1 = gate_proj (6400->6400) for GLU
+                    // linear_2 = pool_proj (6400->6400) for GLU
+                    // linear_3 = out_proj  (6400->3584)
+                    model.mm_0_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 0, "weight"));
+                    model.mm_0_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 0, "bias"));
+                    model.mm_1_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "weight"));
+                    model.mm_1_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "bias"));
+                    model.mm_3_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 3, "weight"));
+                    model.mm_3_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 3, "bias"));
+                    // ln_speech (LayerNorm before adaptor)
+                    model.mm_norm_pre_w = get_tensor(string_format(TN_MM_NORM_PRE, "weight"));
+                    model.mm_norm_pre_b = get_tensor(string_format(TN_MM_NORM_PRE, "bias"));
+                } break;
             case PROJECTOR_TYPE_QWEN2A:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -1779,6 +2077,20 @@ struct clip_model_loader {
                     model.mm_fc_w = get_tensor(string_format(TN_MM_AUDIO_FC, "weight"));
                     model.mm_fc_b = get_tensor(string_format(TN_MM_AUDIO_FC, "bias"));
                 } break;
+            case PROJECTOR_TYPE_QWEN3A:
+                {
+                    model.conv2d_1_w = get_tensor(string_format(TN_CONV2D, 1, "weight"));
+                    model.conv2d_1_b = get_tensor(string_format(TN_CONV2D, 1, "bias"));
+                    model.conv2d_2_w = get_tensor(string_format(TN_CONV2D, 2, "weight"));
+                    model.conv2d_2_b = get_tensor(string_format(TN_CONV2D, 2, "bias"));
+                    model.conv2d_3_w = get_tensor(string_format(TN_CONV2D, 3, "weight"));
+                    model.conv2d_3_b = get_tensor(string_format(TN_CONV2D, 3, "bias"));
+                    model.conv_out_w = get_tensor(string_format(TN_CONV_OUT, "weight")); // no bias
+                    model.mm_1_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "weight"));
+                    model.mm_1_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "bias"));
+                } break;
             case PROJECTOR_TYPE_VOXTRAL:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -1831,13 +2143,13 @@ struct clip_model_loader {
                 } break;
             case PROJECTOR_TYPE_LLAMA4:
                 {
-                    model.mm_model_proj    = get_tensor(TN_MM_PROJECTOR);
+                    model.mm_model_proj    = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
                     model.mm_model_mlp_1_w = get_tensor(string_format(TN_MVLM_PROJ_MLP, 1, "weight"));
                     model.mm_model_mlp_2_w = get_tensor(string_format(TN_MVLM_PROJ_MLP, 2, "weight"));
                 } break;
             case PROJECTOR_TYPE_COGVLM:
                 {
-                    model.mm_model_proj     = get_tensor(TN_MM_PROJECTOR);
+                    model.mm_model_proj     = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
                     model.mm_post_fc_norm_w = get_tensor(string_format(TN_MM_POST_FC_NORM, "weight"));
                     model.mm_post_fc_norm_b = get_tensor(string_format(TN_MM_POST_FC_NORM, "bias"));
                     model.mm_h_to_4h_w      = get_tensor(string_format(TN_MM_H_TO_4H,      "weight"));
@@ -1846,6 +2158,22 @@ struct clip_model_loader {
                     model.mm_boi            = get_tensor(TN_TOK_BOI);
                     model.mm_eoi            = get_tensor(TN_TOK_EOI);
                 } break;
+            case PROJECTOR_TYPE_HUNYUANOCR:
+                {
+                    // proj.0 -> mm.0 (conv1), proj.2 -> mm.2 (conv2), mlp -> mm.model.fc (linear)
+                    model.mm_0_w            = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b            = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"));
+                    model.mm_1_w            = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
+                    model.mm_1_b            = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
+                    model.mm_model_proj     = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
+                    model.mm_model_proj_b   = get_tensor(string_format(TN_MM_PROJECTOR, "bias"));
+                    model.mm_pre_norm_w     = get_tensor(string_format(TN_MM_PRE_NORM, "weight"));
+                    model.mm_post_norm_w    = get_tensor(string_format(TN_MM_POST_NORM, "weight"));
+                    model.mm_img_begin      = get_tensor(TN_TOK_IMG_BEGIN);
+                    model.mm_img_end        = get_tensor(TN_TOK_IMG_END);
+                    model.image_newline     = get_tensor(TN_IMAGE_NEWLINE);
+                    model.view_seperator    = get_tensor(TN_IMAGE_SEPERATOR, false);
+                } break;
             case PROJECTOR_TYPE_JANUS_PRO:
                 {
                     model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
@@ -1860,6 +2188,112 @@ struct clip_model_loader {
                     model.mm_2_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
                     model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
                 } break;
+            case PROJECTOR_TYPE_DEEPSEEKOCR:
+                {
+                    model.pos_embed          = get_tensor(string_format(TN_SAM_POS_EMBD,   "weight"));
+                    model.patch_embed_proj_w = get_tensor(string_format(TN_SAM_PATCH_EMBD, "weight"));
+                    model.patch_embed_proj_b = get_tensor(string_format(TN_SAM_PATCH_EMBD, "bias"));
+                    model.sam_layers.resize(model.n_sam_layers);
+                    for (int il = 0; il < model.n_sam_layers; ++il) {
+                        auto & layer    = model.sam_layers[il];
+                        layer.qkv_w     = get_tensor(string_format(TN_SAM_ATTN_QKV, il, "weight"));
+                        layer.qkv_b     = get_tensor(string_format(TN_SAM_ATTN_QKV, il, "bias"));
+                        layer.o_w       = get_tensor(string_format(TN_SAM_ATTN_OUT, il, "weight"));
+                        layer.o_b       = get_tensor(string_format(TN_SAM_ATTN_OUT, il, "bias"));
+                        layer.ln_1_w    = get_tensor(string_format(TN_SAM_PRE_NORM, il, "weight"));
+                        layer.ln_1_b    = get_tensor(string_format(TN_SAM_PRE_NORM, il, "bias"));
+                        layer.ln_2_w    = get_tensor(string_format(TN_SAM_POST_NORM, il, "weight"));
+                        layer.ln_2_b    = get_tensor(string_format(TN_SAM_POST_NORM, il, "bias"));
+                        layer.rel_pos_h = get_tensor(string_format(TN_SAM_ATTN_POS_H, il, "weight"));
+                        layer.rel_pos_w = get_tensor(string_format(TN_SAM_ATTN_POS_W, il, "weight"));
+                        layer.ff_up_w   = get_tensor(string_format(TN_SAM_FFN_UP, il, "weight"));
+                        layer.ff_up_b   = get_tensor(string_format(TN_SAM_FFN_UP, il, "bias"));
+                        layer.ff_down_w = get_tensor(string_format(TN_SAM_FFN_DOWN, il, "weight"));
+                        layer.ff_down_b = get_tensor(string_format(TN_SAM_FFN_DOWN, il, "bias"));
+                    }
+                    model.neck_0_w       = get_tensor(string_format(TN_SAM_NECK, 0, "weight"));
+                    model.neck_1_b       = get_tensor(string_format(TN_SAM_NECK, 1, "bias"));
+                    model.neck_1_w       = get_tensor(string_format(TN_SAM_NECK, 1, "weight"));
+                    model.neck_2_w       = get_tensor(string_format(TN_SAM_NECK, 2, "weight"));
+                    model.neck_3_b       = get_tensor(string_format(TN_SAM_NECK, 3, "bias"));
+                    model.neck_3_w       = get_tensor(string_format(TN_SAM_NECK, 3, "weight"));
+                    model.net_2          = get_tensor(string_format(TN_SAM_NET, 2, "weight"));
+                    model.net_3          = get_tensor(string_format(TN_SAM_NET, 3, "weight"));
+                    model.image_newline  = get_tensor(TN_IMAGE_NEWLINE);
+                    model.view_seperator = get_tensor(TN_IMAGE_SEPERATOR);
+                    model.mm_fc_w        = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
+                    model.mm_fc_b        = get_tensor(string_format(TN_MM_PROJECTOR, "bias"));
+                 } break;
+            case PROJECTOR_TYPE_GEMMA4A:
+                {
+                    for (int i = 0; i < 2; i++) {
+                        model.sscp_conv_w[i] = get_tensor(string_format(TN_A_CONV1D, i, "weight"));
+                        model.sscp_conv_b[i] = get_tensor(string_format(TN_A_CONV1D, i, "bias"), false);
+                        model.sscp_norm_w[i] = get_tensor(string_format(TN_A_CONV1D_NORM, i, "weight"), false);
+                    }
+                    model.sscp_inp_proj_w = get_tensor(string_format(TN_A_INP_PROJ, "weight"));
+                    model.sscp_inp_proj_b = get_tensor(string_format(TN_A_INP_PROJ, "bias"), false);
+                    model.audio_out_proj_w = get_tensor(string_format(TN_A_OUT_PROJ, "weight"), false);
+                    model.audio_out_proj_b = get_tensor(string_format(TN_A_OUT_PROJ, "bias"), false);
+                    // audio multimodal embedder (mm.a.* namespace, not mm.*)
+                    model.mm_soft_emb_norm_w = get_tensor(string_format(TN_A_MM_SOFT_EMB_N, "weight"), false);
+                    model.mm_input_proj_w    = get_tensor(string_format(TN_A_MM_INP_PROJ, "weight"), false);
+
+                    // Per-layer tensors NOT loaded by the generic loop above
+                    for (int il = 0; il < hparams.n_layer; ++il) {
+                        auto & layer = model.layers[il];
+
+                        // Gemma4 audio conformer-specific tensors
+                        layer.ff_norm_w        = get_tensor(string_format(TN_FFN_NORM, prefix, il, "weight"));
+                        layer.attn_pre_norm_w  = get_tensor(string_format(TN_A_ATTN_PRE_NORM, prefix, il, "weight"), false);
+                        layer.per_dim_scale_w  = get_tensor(string_format(TN_A_PER_DIM_SCALE, prefix, il, "weight"), false);
+                        layer.per_dim_k_scale_w = get_tensor(string_format(TN_A_PER_DIM_K_SCALE, prefix, il, "weight"), false);
+                        layer.attn_k_rel_w     = get_tensor(string_format(TN_A_ATTN_K_REL, prefix, il, "weight"), false);
+
+                        // Convolution module
+                        // Note: conv_norm / norm_conv are swapped in GGUF due to
+                        // upstream tensor_mapping.py, so we load them in reverse order
+                        layer.norm_conv_w  = get_tensor(string_format(TN_CONV_NORM, prefix, il, "weight"), false);
+                        layer.norm_conv_b  = get_tensor(string_format(TN_CONV_NORM, prefix, il, "bias"), false);
+                        layer.conv_pw1_w   = get_tensor(string_format(TN_CONV_PW1,  prefix, il, "weight"));
+                        layer.conv_pw1_b   = get_tensor(string_format(TN_CONV_PW1,  prefix, il, "bias"), false);
+                        layer.conv_dw_w    = get_tensor(string_format(TN_CONV_DW,   prefix, il, "weight"));
+                        layer.conv_dw_b    = get_tensor(string_format(TN_CONV_DW,   prefix, il, "bias"), false);
+                        layer.conv_norm_w  = get_tensor(string_format(TN_NORM_CONV, prefix, il, "weight"), false);
+                        layer.conv_norm_b  = get_tensor(string_format(TN_NORM_CONV, prefix, il, "bias"), false);
+                        layer.conv_pw2_w   = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "weight"));
+                        layer.conv_pw2_b   = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "bias"), false);
+
+                        // FFN2 (second half-step)
+                        layer.ff_norm_1_w      = get_tensor(string_format(TN_FFN_NORM_1, prefix, il, "weight"));
+                        layer.ff_up_1_w        = get_tensor(string_format(TN_FFN_UP_1, prefix, il, "weight"));
+                        layer.ff_up_1_b        = get_tensor(string_format(TN_FFN_UP_1, prefix, il, "bias"), false);
+                        layer.ff_down_1_w      = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "weight"));
+                        layer.ff_down_1_b      = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "bias"), false);
+                        layer.ff_post_norm_1_w = get_tensor(string_format(TN_A_FFN_POST_NORM_1, prefix, il, "weight"), false);
+                    }
+
+                    // Load clamp info for ClippableLinear AFTER all tensors are loaded
+                    for (auto * tensor : tensors_to_load) {
+                        std::string name = tensor->name;
+                        if (string_ends_with(name, ".weight")) {
+                            std::string name_inp_max = name;
+                            std::string name_inp_min = name;
+                            std::string name_out_max = name;
+                            std::string name_out_min = name;
+                            string_replace_all(name_inp_max, ".weight", ".input_max");
+                            string_replace_all(name_inp_min, ".weight", ".input_min");
+                            string_replace_all(name_out_max, ".weight", ".output_max");
+                            string_replace_all(name_out_min, ".weight", ".output_min");
+                            model.clamp_info_map[name] = {
+                                get_scalar(name_inp_max, FLT_MAX),
+                                get_scalar(name_inp_min, -FLT_MAX),
+                                get_scalar(name_out_max, FLT_MAX),
+                                get_scalar(name_out_min, -FLT_MAX)
+                            };
+                        }
+                    }
+                } break;
             case PROJECTOR_TYPE_LFM2A:
                 {
                     for (int i : {0, 2, 3, 5, 6}) {
@@ -1914,18 +2348,16 @@ struct clip_model_loader {
         {
             std::vector<uint8_t> read_buf;
 
-            auto fin = std::ifstream(fname, std::ios::binary);
-            if (!fin) {
-                throw std::runtime_error(string_format("%s: failed to open %s\n", __func__, fname.c_str()));
-            }
-
             // alloc memory and offload data
             ggml_backend_buffer_type_t buft = ggml_backend_get_default_buffer_type(ctx_clip.backend);
             ctx_clip.buf.reset(ggml_backend_alloc_ctx_tensors_from_buft(ctx_clip.ctx_data.get(), buft));
             ggml_backend_buffer_set_usage(ctx_clip.buf.get(), GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
             for (auto & t : tensors_to_load) {
                 ggml_tensor * cur = ggml_get_tensor(ctx_clip.ctx_data.get(), t->name);
-                const size_t offset = tensor_offset[t->name];
+                GGML_ASSERT(cur && "tensor not found in ctx_data");
+                auto it_off = tensor_offset.find(t->name);
+                GGML_ASSERT(it_off != tensor_offset.end() && "no offset for tensor");
+                const size_t offset = it_off->second;
                 fin.seekg(offset, std::ios::beg);
                 if (!fin) {
                     throw std::runtime_error(string_format("%s: failed to seek for tensor %s\n", __func__, t->name));
@@ -1945,6 +2377,7 @@ struct clip_model_loader {
 
             LOG_DBG("%s: loaded %zu tensors from %s\n", __func__, tensors_to_load.size(), fname.c_str());
         }
+
     }
 
     struct support_info_op {
@@ -2176,6 +2609,27 @@ struct clip_model_loader {
             }
         }
     }
+
+    static void set_internvl_dhr_res_candidates(clip_model & model) {
+        auto & hparams = model.hparams;
+        int min_num = hparams.preproc_min_tiles;
+        int max_num = hparams.preproc_max_tiles;
+        if (min_num < 1) {
+           return; // avoid  divide by 0
+        }
+        for (int a = min_num; a <= max_num; ++a) {
+            int b_lo = (min_num + a - 1) / a;
+            int b_hi = max_num / a;
+            b_lo = std::max(b_lo, min_num);
+            b_hi = std::min(b_hi, max_num);
+            for (int b = b_lo; b <= b_hi; ++b) {
+                hparams.image_res_candidates.push_back(clip_image_size {
+                    a*hparams.image_size,
+                    b*hparams.image_size,
+                });
+            }
+        }
+    }
 };
 
 struct clip_init_result clip_init(const char * fname, struct clip_context_params ctx_params) {
@@ -2291,1027 +2745,6 @@ void clip_build_img_from_pixels(const unsigned char * rgb_pixels, int nx, int ny
     memcpy(img->buf.data(), rgb_pixels, img->buf.size());
 }
 
-// Normalize image to float32 - careful with pytorch .to(model.device, dtype=torch.float16) - this sometimes reduces precision (32>16>32), sometimes not
-static void normalize_image_u8_to_f32(const clip_image_u8 & src, clip_image_f32 & dst, const float mean[3], const float std[3]) {
-    dst.nx = src.nx;
-    dst.ny = src.ny;
-    dst.buf.resize(src.buf.size());
-
-    // TODO @ngxson : seems like this could be done more efficiently on cgraph
-    for (size_t i = 0; i < src.buf.size(); ++i) {
-        int c = i % 3; // rgb
-        dst.buf[i] = (static_cast<float>(src.buf[i]) / 255.0f - mean[c]) / std[c];
-    }
-}
-
-// set of tools to manipulate images
-// in the future, we can have HW acceleration by allowing this struct to access 3rd party lib like imagick or opencv
-struct img_tool {
-    enum resize_algo {
-        RESIZE_ALGO_BILINEAR,
-        RESIZE_ALGO_BICUBIC,
-        // RESIZE_ALGO_LANCZOS, // TODO
-    };
-
-    static void resize(
-            const clip_image_u8 & src,
-            clip_image_u8 & dst,
-            const clip_image_size & target_resolution,
-            resize_algo algo,
-            bool add_padding = true, // TODO: define the behavior for add_padding = false
-            std::array<uint8_t, 3> pad_color = {0, 0, 0}) {
-        dst.nx = target_resolution.width;
-        dst.ny = target_resolution.height;
-        dst.buf.resize(3 * dst.nx * dst.ny);
-
-        if (dst.nx == src.nx && dst.ny == src.ny) {
-            // no resize needed, simple copy
-            dst.buf = src.buf;
-            return;
-        }
-
-        if (!add_padding) {
-            // direct resize
-            switch (algo) {
-                case RESIZE_ALGO_BILINEAR:
-                    resize_bilinear(src, dst, target_resolution.width, target_resolution.height);
-                    break;
-                case RESIZE_ALGO_BICUBIC:
-                    resize_bicubic(src, dst, target_resolution.width, target_resolution.height);
-                    break;
-                default:
-                    throw std::runtime_error("Unsupported resize algorithm");
-            }
-        } else {
-            // resize with padding
-            clip_image_u8 resized_image;
-            float scale_w = static_cast<float>(target_resolution.width) / src.nx;
-            float scale_h = static_cast<float>(target_resolution.height) / src.ny;
-            float scale = std::min(scale_w, scale_h);
-            int new_width  = std::min(static_cast<int>(std::ceil(src.nx * scale)), target_resolution.width);
-            int new_height = std::min(static_cast<int>(std::ceil(src.ny * scale)), target_resolution.height);
-
-            switch (algo) {
-                case RESIZE_ALGO_BILINEAR:
-                    resize_bilinear(src, resized_image, new_width, new_height);
-                    break;
-                case RESIZE_ALGO_BICUBIC:
-                    resize_bicubic(src, resized_image, new_width, new_height);
-                    break;
-                default:
-                    throw std::runtime_error("Unsupported resize algorithm");
-            }
-
-            // fill dst with pad_color
-            fill(dst, pad_color);
-
-            int offset_x = (target_resolution.width  - new_width)  / 2;
-            int offset_y = (target_resolution.height - new_height) / 2;
-
-            composite(dst, resized_image, offset_x, offset_y);
-        }
-    }
-
-    static void crop(const clip_image_u8 & image, clip_image_u8 & dst, int x, int y, int w, int h) {
-        dst.nx = w;
-        dst.ny = h;
-        dst.buf.resize(3 * w * h);
-
-        for (int i = 0; i < h; ++i) {
-            for (int j = 0; j < w; ++j) {
-                int src_idx = 3 * ((y + i)*image.nx + (x + j));
-                int dst_idx = 3 * (i*w + j);
-                dst.buf[dst_idx]     = image.buf[src_idx];
-                dst.buf[dst_idx + 1] = image.buf[src_idx + 1];
-                dst.buf[dst_idx + 2] = image.buf[src_idx + 2];
-            }
-        }
-    }
-
-    // calculate the size of the **resized** image, while preserving the aspect ratio
-    // the calculated size will be aligned to the nearest multiple of align_size
-    // if H or W size is larger than longest_edge, it will be resized to longest_edge
-    static clip_image_size calc_size_preserved_ratio(const clip_image_size & inp_size, const int align_size, const int longest_edge) {
-        GGML_ASSERT(align_size > 0);
-        if (inp_size.width <= 0 || inp_size.height <= 0 || longest_edge <= 0) {
-            return {0, 0};
-        }
-
-        float scale = std::min(static_cast<float>(longest_edge) / inp_size.width,
-                               static_cast<float>(longest_edge) / inp_size.height);
-
-        float target_width_f  = static_cast<float>(inp_size.width)  * scale;
-        float target_height_f = static_cast<float>(inp_size.height) * scale;
-
-        auto ceil_by_factor = [f = align_size](float x) { return static_cast<int>(std::ceil(x / static_cast<float>(f))) * f; };
-        int aligned_width  = ceil_by_factor(target_width_f);
-        int aligned_height = ceil_by_factor(target_height_f);
-
-        return {aligned_width, aligned_height};
-    }
-
-    // calculate the size of the **resized** image, while preserving the aspect ratio
-    // the calculated size will have min_pixels <= W*H <= max_pixels
-    // this is referred as "smart_resize" in transformers code
-    static clip_image_size calc_size_preserved_ratio(const clip_image_size & inp_size, const int align_size, const int min_pixels, const int max_pixels) {
-        GGML_ASSERT(align_size > 0);
-        const int width  = inp_size.width;
-        const int height = inp_size.height;
-
-        auto round_by_factor = [f = align_size](float x) { return static_cast<int>(std::round(x / static_cast<float>(f))) * f; };
-        auto ceil_by_factor  = [f = align_size](float x) { return static_cast<int>(std::ceil(x / static_cast<float>(f))) * f; };
-        auto floor_by_factor = [f = align_size](float x) { return static_cast<int>(std::floor(x / static_cast<float>(f))) * f; };
-
-        // always align up first
-        int h_bar = std::max(align_size, round_by_factor(height));
-        int w_bar = std::max(align_size, round_by_factor(width));
-
-        if (h_bar * w_bar > max_pixels) {
-            const auto beta = std::sqrt(static_cast<float>(height * width) / max_pixels);
-            h_bar = std::max(align_size, floor_by_factor(height / beta));
-            w_bar = std::max(align_size, floor_by_factor(width  / beta));
-        } else if (h_bar * w_bar < min_pixels) {
-            const auto beta = std::sqrt(static_cast<float>(min_pixels) / (height * width));
-            h_bar = ceil_by_factor(height * beta);
-            w_bar = ceil_by_factor(width * beta);
-        }
-
-        return {w_bar, h_bar};
-    }
-
-    // draw src image into dst image at offset (offset_x, offset_y)
-    static void composite(clip_image_u8 & dst, const clip_image_u8 & src, int offset_x, int offset_y) {
-        for (int y = 0; y < src.ny; ++y) {
-            for (int x = 0; x < src.nx; ++x) {
-                int dx = x + offset_x;
-                int dy = y + offset_y;
-                // skip pixels that would be out of bounds in the destination
-                if (dx < 0 || dy < 0 || dx >= dst.nx || dy >= dst.ny) {
-                    continue;
-                }
-                size_t dst_idx = 3 * (static_cast<size_t>(dy) * dst.nx + static_cast<size_t>(dx));
-                size_t src_idx = 3 * (static_cast<size_t>(y) * src.nx + static_cast<size_t>(x));
-                dst.buf[dst_idx + 0] = src.buf[src_idx + 0];
-                dst.buf[dst_idx + 1] = src.buf[src_idx + 1];
-                dst.buf[dst_idx + 2] = src.buf[src_idx + 2];
-            }
-        }
-    }
-
-    // fill the image with a solid color
-    static void fill(clip_image_u8 & img, const std::array<uint8_t, 3> & color) {
-        for (size_t i = 0; i < img.buf.size(); i += 3) {
-            img.buf[i]     = color[0];
-            img.buf[i + 1] = color[1];
-            img.buf[i + 2] = color[2];
-        }
-    }
-
-private:
-    // Bilinear resize function
-    static void resize_bilinear(const clip_image_u8 & src, clip_image_u8 & dst, int target_width, int target_height) {
-        dst.nx = target_width;
-        dst.ny = target_height;
-        dst.buf.resize(3 * target_width * target_height);
-
-        float x_ratio = static_cast<float>(src.nx - 1) / target_width;
-        float y_ratio = static_cast<float>(src.ny - 1) / target_height;
-
-        for (int y = 0; y < target_height; y++) {
-            for (int x = 0; x < target_width; x++) {
-                float px = x_ratio * x;
-                float py = y_ratio * y;
-                int x_floor = static_cast<int>(px);
-                int y_floor = static_cast<int>(py);
-                float x_lerp = px - x_floor;
-                float y_lerp = py - y_floor;
-
-                for (int c = 0; c < 3; c++) {
-                    float top = lerp(
-                        static_cast<float>(src.buf[3 * (y_floor * src.nx + x_floor) + c]),
-                        static_cast<float>(src.buf[3 * (y_floor * src.nx + (x_floor + 1)) + c]),
-                        x_lerp
-                    );
-                    float bottom = lerp(
-                        static_cast<float>(src.buf[3 * ((y_floor + 1) * src.nx + x_floor) + c]),
-                        static_cast<float>(src.buf[3 * ((y_floor + 1) * src.nx + (x_floor + 1)) + c]),
-                        x_lerp
-                    );
-                    dst.buf[3 * (y * target_width + x) + c] = static_cast<uint8_t>(lerp(top, bottom, y_lerp));
-                }
-            }
-        }
-    }
-
-    // Bicubic resize function
-    // part of image will be cropped if the aspect ratio is different
-    static bool resize_bicubic(const clip_image_u8 & img, clip_image_u8 & dst, int target_width, int target_height) {
-        const int nx = img.nx;
-        const int ny = img.ny;
-
-        dst.nx = target_width;
-        dst.ny = target_height;
-        dst.buf.resize(3 * target_width * target_height);
-
-        float Cc;
-        float C[5] = {};
-        float d0, d2, d3, a0, a1, a2, a3;
-        int i, j, k, jj;
-        int x, y;
-        float dx, dy;
-        float tx, ty;
-
-        tx = (float)nx / (float)target_width;
-        ty = (float)ny / (float)target_height;
-
-        // Bicubic interpolation; adapted from ViT.cpp, inspired from :
-        //    -> https://github.com/yglukhov/bicubic-interpolation-image-processing/blob/master/libimage.c#L36
-        //    -> https://en.wikipedia.org/wiki/Bicubic_interpolation
-
-        for (i = 0; i < target_height; i++) {
-            for (j = 0; j < target_width; j++) {
-                x = (int)(tx * j);
-                y = (int)(ty * i);
-
-                dx = tx * j - x;
-                dy = ty * i - y;
-
-                for (k = 0; k < 3; k++) {
-                    for (jj = 0; jj <= 3; jj++) {
-                        d0 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x - 1, 0, nx - 1)) * 3 + k] - img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
-                        d2 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x + 1, 0, nx - 1)) * 3 + k] - img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
-                        d3 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x + 2, 0, nx - 1)) * 3 + k] - img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
-                        a0 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
-
-                        a1 = -1.0 / 3 * d0 + d2 - 1.0 / 6 * d3;
-                        a2 =  1.0 / 2 * d0 +      1.0 / 2 * d2;
-                        a3 = -1.0 / 6 * d0 -      1.0 / 2 * d2 + 1.0 / 6 * d3;
-
-                        C[jj] = a0 + a1 * dx + a2 * dx * dx + a3 * dx * dx * dx;
-
-                        d0 = C[0] - C[1];
-                        d2 = C[2] - C[1];
-                        d3 = C[3] - C[1];
-                        a0 = C[1];
-                        a1 = -1.0 / 3 * d0 + d2 - 1.0 / 6 * d3;
-                        a2 =  1.0 / 2 * d0 +      1.0 / 2 * d2;
-                        a3 = -1.0 / 6 * d0 -      1.0 / 2 * d2 + 1.0 / 6 * d3;
-                        Cc = a0 + a1 * dy + a2 * dy * dy + a3 * dy * dy * dy;
-
-                        const uint8_t Cc2 = std::min(std::max(std::round(Cc), 0.0f), 255.0f);
-                        dst.buf[(i * target_width + j) * 3 + k] = float(Cc2);
-                    }
-                }
-            }
-        }
-
-        return true;
-    }
-
-    static inline int clip(int x, int lower, int upper) {
-        return std::max(lower, std::min(x, upper));
-    }
-
-    // Linear interpolation between two points
-    static inline float lerp(float s, float e, float t) {
-        return s + (e - s) * t;
-    }
-};
-
-/**
- * implementation of LLaVA-UHD:
- *  - https://arxiv.org/pdf/2403.11703
- *  - https://github.com/thunlp/LLaVA-UHD
- *  - https://github.com/thunlp/LLaVA-UHD/blob/302301bc2175f7e717fb8548516188e89f649753/llava_uhd/train/llava-uhd/slice_logic.py#L118
- *
- * overview:
- *   - an image always have a single overview (downscaled image)
- *   - an image can have 0 or multiple slices, depending on the image size
- *   - each slice can then be considered as a separate image
- *
- * for example:
- *
- * [overview] --> [slice 1] --> [slice 2]
- *           |                |
- *           +--> [slice 3] --> [slice 4]
- */
-struct llava_uhd {
-    struct slice_coordinates {
-        int x;
-        int y;
-        clip_image_size size;
-    };
-
-    struct slice_instructions {
-        clip_image_size overview_size; // size of downscaled image
-        clip_image_size refined_size;  // size of image right before slicing (must be multiple of slice size)
-        clip_image_size grid_size;     // grid_size.width * grid_size.height = number of slices
-        std::vector<slice_coordinates> slices;
-
-        img_tool::resize_algo interpolation_overview = img_tool::RESIZE_ALGO_BILINEAR;
-        bool padding_overview = false;  // if true, refine image will be padded to the grid size (e.g. llava-1.6)
-        std::array<uint8_t, 3> pad_color_overview = {0, 0, 0};
-
-        img_tool::resize_algo interpolation_refined = img_tool::RESIZE_ALGO_BICUBIC;
-        bool padding_refined = false;  // if true, refine image will be padded to the grid size (e.g. llava-1.6)
-        std::array<uint8_t, 3> pad_color_refined = {0, 0, 0};
-    };
-
-    static slice_instructions get_slice_instructions(struct clip_ctx * ctx, const clip_image_size & original_size) {
-        slice_instructions res;
-        const int patch_size      = clip_get_patch_size(ctx);
-        const int slice_size      = clip_get_image_size(ctx);
-        const int original_width  = original_size.width;
-        const int original_height = original_size.height;
-
-        const bool has_slices    = original_size.width > slice_size || original_size.height > slice_size;
-        const bool has_pinpoints = !ctx->model.hparams.image_res_candidates.empty();
-
-        if (!has_slices) {
-            // skip slicing logic
-            res.overview_size = clip_image_size{slice_size, slice_size};
-            res.refined_size  = clip_image_size{0, 0};
-            res.grid_size     = clip_image_size{0, 0};
-
-            return res;
-        }
-
-        if (has_pinpoints) {
-            // has pinpoints, use them to calculate the grid size (e.g. llava-1.6)
-            auto refine_size = llava_uhd::select_best_resolution(
-                original_size,
-                ctx->model.hparams.image_res_candidates);
-            res.overview_size         = clip_image_size{slice_size, slice_size};
-            res.refined_size          = refine_size;
-            res.grid_size             = clip_image_size{0, 0};
-            res.padding_refined       = true;
-            res.interpolation_refined = img_tool::RESIZE_ALGO_BILINEAR;  // preserve old behavior when padding
-
-            LOG_DBG("%s: using pinpoints for slicing\n", __func__);
-            LOG_DBG("%s: original size: %d x %d, overview size: %d x %d, refined size: %d x %d\n",
-                    __func__, original_width, original_height,
-                    res.overview_size.width, res.overview_size.height,
-                    res.refined_size.width,  res.refined_size.height);
-
-            for (int y = 0; y < refine_size.height; y += slice_size) {
-                for (int x = 0; x < refine_size.width; x += slice_size) {
-                    slice_coordinates slice;
-                    slice.x = x;
-                    slice.y = y;
-                    slice.size.width  = std::min(slice_size, refine_size.width  - x);
-                    slice.size.height = std::min(slice_size, refine_size.height - y);
-                    res.slices.push_back(slice);
-                    LOG_DBG("%s: slice %d: x=%d, y=%d, size=%dx%d\n",
-                            __func__, (int)res.slices.size() - 1,
-                            slice.x, slice.y, slice.size.width, slice.size.height);
-                }
-            }
-
-            res.grid_size.height = refine_size.height / slice_size;
-            res.grid_size.width  = refine_size.width  / slice_size;
-            LOG_DBG("%s: grid size: %d x %d\n", __func__, res.grid_size.width, res.grid_size.height);
-
-            return res;
-        }
-
-        // no pinpoints, dynamically calculate the grid size (e.g. minicpmv)
-
-        auto best_size    = get_best_resize(original_size, slice_size, patch_size, !has_slices);
-        res.overview_size = best_size;
-
-        {
-            const int max_slice_nums = 9; // TODO: this is only used by minicpmv, maybe remove it
-            const float log_ratio = log((float)original_width / original_height);
-            const float ratio = (float)original_width * original_height / (slice_size * slice_size);
-            const int multiple = fmin(ceil(ratio), max_slice_nums);
-
-            auto best_grid   = get_best_grid(max_slice_nums, multiple, log_ratio);
-            auto refine_size = get_refine_size(original_size, best_grid, slice_size, patch_size, true);
-            res.grid_size    = best_grid;
-            res.refined_size = refine_size;
-
-            LOG_DBG("%s: original size: %d x %d, overview size: %d x %d, refined size: %d x %d, grid size: %d x %d\n",
-                    __func__, original_width, original_height,
-                    res.overview_size.width, res.overview_size.height,
-                    res.refined_size.width, res.refined_size.height,
-                    res.grid_size.width, res.grid_size.height);
-
-            int width  = refine_size.width;
-            int height = refine_size.height;
-            int grid_x = int(width  / best_grid.width);
-            int grid_y = int(height / best_grid.height);
-            for (int patches_y = 0,                    ic = 0;
-                    patches_y < refine_size.height && ic < best_grid.height;
-                    patches_y += grid_y,              ic += 1) {
-                for (int patches_x = 0,                   jc = 0;
-                        patches_x < refine_size.width && jc < best_grid.width;
-                        patches_x += grid_x,             jc += 1) {
-                    slice_coordinates slice;
-                    slice.x = patches_x;
-                    slice.y = patches_y;
-                    slice.size.width  = grid_x;
-                    slice.size.height = grid_y;
-                    res.slices.push_back(slice);
-                    LOG_DBG("%s: slice %d: x=%d, y=%d, size=%dx%d\n",
-                            __func__, (int)res.slices.size() - 1,
-                            slice.x, slice.y, slice.size.width, slice.size.height);
-                }
-            }
-        }
-
-        return res;
-    }
-
-    static std::vector<clip_image_u8_ptr> slice_image(const clip_image_u8 * img, const slice_instructions & inst) {
-        std::vector<clip_image_u8_ptr> output;
-
-        // resize to overview size
-        clip_image_u8_ptr resized_img(clip_image_u8_init());
-        img_tool::resize(*img, *resized_img, inst.overview_size, inst.interpolation_overview,
-                         inst.padding_overview, inst.pad_color_overview);
-        output.push_back(std::move(resized_img));
-
-        if (inst.slices.empty()) {
-            // no slices, just return the resized image
-            return output;
-        }
-
-        // resize to refined size
-        clip_image_u8_ptr refined_img(clip_image_u8_init());
-        img_tool::resize(*img, *refined_img, inst.refined_size, inst.interpolation_refined,
-                         inst.padding_refined, inst.pad_color_refined);
-
-        // create slices
-        for (const auto & slice : inst.slices) {
-            int x = slice.x;
-            int y = slice.y;
-            int w = slice.size.width;
-            int h = slice.size.height;
-
-            clip_image_u8_ptr img_slice(clip_image_u8_init());
-            img_tool::crop(*refined_img, *img_slice, x, y, w, h);
-            output.push_back(std::move(img_slice));
-        }
-
-        return output;
-    }
-
-private:
-    static clip_image_size get_best_resize(const clip_image_size & original_size, int scale_resolution, int patch_size, bool allow_upscale = false) {
-        int width  = original_size.width;
-        int height = original_size.height;
-        if ((width * height > scale_resolution * scale_resolution) || allow_upscale) {
-            float r = static_cast<float>(width) / height;
-            height  = static_cast<int>(scale_resolution / std::sqrt(r));
-            width   = static_cast<int>(height * r);
-        }
-        clip_image_size res;
-        res.width  = ensure_divide(width,  patch_size);
-        res.height = ensure_divide(height, patch_size);
-        return res;
-    }
-
-    static clip_image_size resize_maintain_aspect_ratio(const clip_image_size & orig, const clip_image_size & target_max) {
-        float scale_width  = static_cast<float>(target_max.width)  / orig.width;
-        float scale_height = static_cast<float>(target_max.height) / orig.height;
-        float scale = std::min(scale_width, scale_height);
-        return clip_image_size{
-            static_cast<int>(orig.width  * scale),
-            static_cast<int>(orig.height * scale),
-        };
-    }
-
-    /**
-     * Selects the best resolution from a list of possible resolutions based on the original size.
-     *
-     * For example, when given a list of resolutions:
-     *  - 100x100
-     *  - 200x100
-     *  - 100x200
-     *  - 200x200
-     *
-     * And an input image of size 111x200, then 100x200 is the best fit (least wasted resolution).
-     *
-     * @param original_size The original size of the image
-     * @param possible_resolutions A list of possible resolutions
-     * @return The best fit resolution
-     */
-    static clip_image_size select_best_resolution(const clip_image_size & original_size, const std::vector<clip_image_size> & possible_resolutions) {
-        clip_image_size best_fit;
-        int min_wasted_area = std::numeric_limits<int>::max();
-        int max_effective_resolution = 0;
-
-        for (const clip_image_size & candidate : possible_resolutions) {
-            auto target_size = resize_maintain_aspect_ratio(original_size, candidate);
-            int effective_resolution = std::min(
-                target_size.width * target_size.height,
-                original_size.width * original_size.height);
-            int wasted_area = (candidate.width * candidate.height) - effective_resolution;
-
-            if (effective_resolution > max_effective_resolution || (effective_resolution == max_effective_resolution && wasted_area < min_wasted_area)) {
-                max_effective_resolution = effective_resolution;
-                min_wasted_area = wasted_area;
-                best_fit = candidate;
-            }
-
-            LOG_DBG("%s: candidate: %d x %d, target: %d x %d, wasted: %d, effective: %d\n", __func__, candidate.width, candidate.height, target_size.width, target_size.height, wasted_area, effective_resolution);
-        }
-
-        return best_fit;
-    }
-
-    static int ensure_divide(int length, int patch_size) {
-        return std::max(static_cast<int>(std::round(static_cast<float>(length) / patch_size) * patch_size), patch_size);
-    }
-
-    static clip_image_size get_refine_size(const clip_image_size & original_size, const clip_image_size & grid, int scale_resolution, int patch_size, bool allow_upscale = false) {
-        int width  = original_size.width;
-        int height = original_size.height;
-        int grid_x = grid.width;
-        int grid_y = grid.height;
-
-        int refine_width  = ensure_divide(width, grid_x);
-        int refine_height = ensure_divide(height, grid_y);
-
-        clip_image_size grid_size;
-        grid_size.width  = refine_width  / grid_x;
-        grid_size.height = refine_height / grid_y;
-
-        auto best_grid_size  = get_best_resize(grid_size, scale_resolution, patch_size, allow_upscale);
-        int best_grid_width  = best_grid_size.width;
-        int best_grid_height = best_grid_size.height;
-
-        clip_image_size refine_size;
-        refine_size.width  = best_grid_width  * grid_x;
-        refine_size.height = best_grid_height * grid_y;
-        return refine_size;
-    }
-
-    static clip_image_size get_best_grid(const int max_slice_nums, const int multiple, const float log_ratio) {
-        std::vector<int> candidate_split_grids_nums;
-        for (int i : {multiple - 1, multiple, multiple + 1}) {
-            if (i == 1 || i > max_slice_nums) {
-                continue;
-            }
-            candidate_split_grids_nums.push_back(i);
-        }
-
-        std::vector<clip_image_size> candidate_grids;
-        for (int split_grids_nums : candidate_split_grids_nums) {
-            int m = 1;
-            while (m <= split_grids_nums) {
-                if (split_grids_nums % m == 0) {
-                    candidate_grids.push_back(clip_image_size{m, split_grids_nums / m});
-                }
-                ++m;
-            }
-        }
-
-        clip_image_size best_grid{1, 1};
-        float min_error = std::numeric_limits<float>::infinity();
-        for (const auto& grid : candidate_grids) {
-            float error = std::abs(log_ratio - std::log(1.0 * grid.width / grid.height));
-            if (error < min_error) {
-                best_grid = grid;
-                min_error = error;
-            }
-        }
-        return best_grid;
-    }
-};
-
-// ref: https://github.com/huggingface/transformers/blob/v5.1.0/src/transformers/models/lfm2_vl/image_processing_lfm2_vl_fast.py
-// some of the logic is similar to llava_uhd, but with different hyperparameters and some logic is unique (e.g. grid layout)
-struct lfm2_vl_image_processor {
-    // ref: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B/blob/main/processor_config.json
-    static constexpr int   min_tiles            = 2;
-    static constexpr int   max_tiles            = 10;
-    static constexpr float max_pixels_tolerance = 2.0f;
-    static constexpr int   tile_size            = 512;
-
-    static llava_uhd::slice_instructions get_slice_instructions(struct clip_ctx * ctx, const clip_image_size & original_size) {
-        llava_uhd::slice_instructions inst;
-        const auto & params  = ctx->model.hparams;
-        const int align_size = params.patch_size * params.n_merge;
-
-        inst.interpolation_overview = img_tool::RESIZE_ALGO_BILINEAR;
-        inst.interpolation_refined  = img_tool::RESIZE_ALGO_BILINEAR;
-        inst.overview_size          = img_tool::calc_size_preserved_ratio(original_size, align_size, params.image_min_pixels, params.image_max_pixels);
-
-        // tile if either dimension exceeds tile_size with tolerance
-        const bool needs_tiling = original_size.width > tile_size * max_pixels_tolerance || original_size.height > tile_size * max_pixels_tolerance;
-
-        if (!needs_tiling) {
-            inst.refined_size = clip_image_size{0, 0};
-            inst.grid_size    = clip_image_size{0, 0};
-            return inst;
-        }
-
-        const clip_image_size grid = get_grid_layout(original_size.height, original_size.width);
-
-        inst.grid_size    = grid;
-        inst.refined_size = clip_image_size{tile_size * grid.width, tile_size * grid.height};
-
-        LOG_DBG("%s: original size: %d x %d, overview size: %d x %d, refined size: %d x %d, grid size: %d x %d\n",
-                __func__,
-                original_size.width, original_size.height,
-                inst.overview_size.width, inst.overview_size.height,
-                inst.refined_size.width, inst.refined_size.height,
-                grid.width, grid.height);
-
-        for (int row = 0; row < grid.height; row++) {
-            for (int col = 0; col < grid.width; col++) {
-                llava_uhd::slice_coordinates slice;
-                slice.x    = col * tile_size;
-                slice.y    = row * tile_size;
-                slice.size = clip_image_size{tile_size, tile_size};
-                inst.slices.push_back(slice);
-                LOG_DBG("%s: slice %d: x=%d, y=%d, size=%d x %d\n",
-                        __func__, (int)inst.slices.size() - 1,
-                        slice.x, slice.y, slice.size.width, slice.size.height);
-            }
-        }
-
-        return inst;
-    }
-
-private:
-    static clip_image_size find_closest_aspect_ratio(
-            float aspect_ratio,
-            const std::vector<clip_image_size> & target_ratios,
-            int width, int height) {
-        float best_ratio_diff = std::numeric_limits<float>::max();
-        clip_image_size best_ratio = {1, 1};
-        const float area = static_cast<float>(width * height);
-
-        for (const auto & ratio : target_ratios) {
-            const float target_aspect_ratio = static_cast<float>(ratio.width) / ratio.height;
-            const float ratio_diff = std::abs(aspect_ratio - target_aspect_ratio);
-            if (ratio_diff < best_ratio_diff) {
-                best_ratio_diff = ratio_diff;
-                best_ratio = ratio;
-            } else if (ratio_diff == best_ratio_diff) {
-                const float target_area = static_cast<float>(tile_size * tile_size * ratio.width * ratio.height);
-                if (area > 0.5f * target_area) {
-                    best_ratio = ratio;
-                }
-            }
-        }
-        return best_ratio;
-    }
-
-    static std::vector<clip_image_size> get_target_ratios() {
-        std::vector<clip_image_size> ratios;
-        for (int n = min_tiles; n <= max_tiles; n++) {
-            for (int w = 1; w <= n; w++) {
-                for (int h = 1; h <= n; h++) {
-                    if (w * h >= min_tiles && w * h <= max_tiles) {
-                        bool found = false;
-                        for (const auto & r : ratios) {
-                            if (r.width == w && r.height == h) {
-                                found = true;
-                                break;
-                            }
-                        }
-                        if (!found) {
-                            ratios.push_back({w, h});
-                        }
-                    }
-                }
-            }
-        }
-        std::sort(ratios.begin(), ratios.end(), [](const clip_image_size & a, const clip_image_size & b) {
-            return a.width * a.height < b.width * b.height;
-        });
-        return ratios;
-    }
-
-    static clip_image_size get_grid_layout(int height, int width) {
-        const float aspect_ratio = static_cast<float>(width) / height;
-        const auto ratios = get_target_ratios();
-        return find_closest_aspect_ratio(aspect_ratio, ratios, width, height);
-    }
-};
-
-// returns the normalized float tensor for llava-1.5, for spatial_unpad with anyres processing for llava-1.6 it returns the normalized image patch tensors as a vector
-// res_imgs memory is being allocated here, previous allocations will be freed if found
-bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, struct clip_image_f32_batch * res_imgs) {
-    clip_image_size original_size{img->nx, img->ny};
-    auto & params = ctx->model.hparams;
-
-    switch (ctx->proj_type()) {
-        case PROJECTOR_TYPE_MINICPMV:
-            {
-                auto const inst = llava_uhd::get_slice_instructions(ctx, original_size);
-                std::vector<clip_image_u8_ptr> imgs = llava_uhd::slice_image(img, inst);
-
-                for (size_t i = 0; i < imgs.size(); ++i) {
-                    // clip_image_save_to_bmp(*imgs[i], "slice_" + std::to_string(i) + ".bmp");
-                    clip_image_f32_ptr res(clip_image_f32_init());
-                    normalize_image_u8_to_f32(*imgs[i], *res, params.image_mean, params.image_std);
-                    res_imgs->entries.push_back(std::move(res));
-                }
-
-                res_imgs->grid_x = inst.grid_size.width;
-                res_imgs->grid_y = inst.grid_size.height;
-            } break;
-
-        case PROJECTOR_TYPE_QWEN2VL:
-        case PROJECTOR_TYPE_QWEN25VL:
-        case PROJECTOR_TYPE_QWEN3VL:
-        case PROJECTOR_TYPE_GLM4V:
-        case PROJECTOR_TYPE_PADDLEOCR:
-            {
-                GGML_ASSERT(params.image_min_pixels > 0 && params.image_max_pixels > 0);
-                clip_image_u8 resized;
-                const clip_image_size new_size = img_tool::calc_size_preserved_ratio(
-                    original_size,
-                    params.patch_size * 2,
-                    params.image_min_pixels,
-                    params.image_max_pixels);
-                img_tool::resize(*img, resized, new_size, img_tool::RESIZE_ALGO_BILINEAR, false);
-                // clip_image_save_to_bmp(resized, "preproc.bmp");
-                clip_image_f32_ptr img_f32(clip_image_f32_init());
-                // clip_image_f32_ptr res(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized, *img_f32, params.image_mean, params.image_std);
-                // res_imgs->data[0] = *res;
-                res_imgs->entries.push_back(std::move(img_f32));
-            } break;
-        case PROJECTOR_TYPE_YOUTUVL:
-            {
-                const int patch_size = params.patch_size;  // typically 16
-                const int merge_size = params.n_merge;      // typically 2
-                const int align_size = patch_size * merge_size;  // 32
-
-                const int max_num_patches = params.image_max_pixels > 0 ?
-                    params.image_max_pixels / (patch_size * patch_size) : 256;
-
-                // Linear search for optimal scale to fit within max_num_patches
-                float scale = 1.0f;
-                int target_height = original_size.height;
-                int target_width = original_size.width;
-
-                auto get_scaled_image_size = [align_size](float scale, int size) -> int {
-                    float scaled_size = size * scale;
-                    // Round up to nearest multiple of align_size
-                    int aligned = static_cast<int>(std::ceil(scaled_size / align_size)) * align_size;
-                    // Ensure at least one patch
-                    return std::max(align_size, aligned);
-                };
-
-                // Linear search with 0.02 step size
-                while (scale > 0.0f) {
-                    target_height = get_scaled_image_size(scale, original_size.height);
-                    target_width = get_scaled_image_size(scale, original_size.width);
-
-                    int num_patches_h = target_height / patch_size;
-                    int num_patches_w = target_width / patch_size;
-                    int num_patches = num_patches_h * num_patches_w;
-
-                    if (num_patches > max_num_patches) {
-                        scale -= 0.02f;
-                    } else {
-                        break;
-                    }
-                }
-
-                clip_image_size new_size = {target_width, target_height};
-
-                // Resize the image
-                clip_image_u8 resized;
-                img_tool::resize(*img, resized, new_size, img_tool::RESIZE_ALGO_BILINEAR, false);
-
-                // Normalize to float32
-                clip_image_f32_ptr img_f32(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized, *img_f32, params.image_mean, params.image_std);
-
-                // Add to results
-                res_imgs->entries.push_back(std::move(img_f32));
-            } break;
-
-        case PROJECTOR_TYPE_IDEFICS3:
-            {
-                // The refined size has two steps:
-                // 1. Resize w/ aspect-ratio preserving such that the longer side is
-                //      the preprocessor longest size
-                // 2. Resize w/out preserving aspect ratio such that both sides are
-                //      multiples of image_size (always rounding up)
-                //
-                // CITE: https://github.com/huggingface/transformers/blob/main/src/transformers/models/idefics3/image_processing_idefics3.py#L737
-                const clip_image_size refined_size = img_tool::calc_size_preserved_ratio(
-                    original_size, params.image_size, params.image_longest_edge);
-                // LOG_INF("%s: original size: %d x %d, refined size: %d x %d\n",
-                //         __func__, original_size.width, original_size.height,
-                //         refined_size.width, refined_size.height);
-
-                llava_uhd::slice_instructions instructions;
-                instructions.overview_size = clip_image_size{params.image_size, params.image_size};
-                instructions.refined_size = refined_size;
-                instructions.grid_size = clip_image_size{
-                    static_cast<int>(std::ceil(static_cast<float>(refined_size.width) / params.image_size)),
-                    static_cast<int>(std::ceil(static_cast<float>(refined_size.height) / params.image_size)),
-                };
-                for (int y = 0; y < refined_size.height; y += params.image_size) {
-                    for (int x = 0; x < refined_size.width; x += params.image_size) {
-                        // LOG_INF("%s: adding slice at x=%d, y=%d\n", __func__, x, y);
-                        instructions.slices.push_back(llava_uhd::slice_coordinates{
-                            /* x    */x,
-                            /* y    */y,
-                            /* size */clip_image_size{
-                                std::min(params.image_size, refined_size.width - x),
-                                std::min(params.image_size, refined_size.height - y)
-                            }
-                        });
-                    }
-                }
-                auto imgs = llava_uhd::slice_image(img, instructions);
-
-                // cast and normalize to f32
-                for (size_t i = 0; i < imgs.size(); ++i) {
-                    // clip_image_save_to_bmp(*imgs[i], "slice_" + std::to_string(i) + ".bmp");
-                    clip_image_f32_ptr res(clip_image_f32_init());
-                    normalize_image_u8_to_f32(*imgs[i], *res, params.image_mean, params.image_std);
-                    res_imgs->entries.push_back(std::move(res));
-                }
-
-                res_imgs->grid_x = instructions.grid_size.width;
-                res_imgs->grid_y = instructions.grid_size.height;
-            } break;
-
-        case PROJECTOR_TYPE_GLM_EDGE:
-        case PROJECTOR_TYPE_GEMMA3:
-        case PROJECTOR_TYPE_INTERNVL: // TODO @ngxson : support dynamic resolution
-        case PROJECTOR_TYPE_NEMOTRON_V2_VL:
-            {
-                clip_image_u8 resized_image;
-                int sz = params.image_size;
-                img_tool::resize(*img, resized_image, {sz, sz}, img_tool::RESIZE_ALGO_BILINEAR);
-                clip_image_f32_ptr img_f32(clip_image_f32_init());
-                //clip_image_save_to_bmp(resized_image, "resized.bmp");
-                normalize_image_u8_to_f32(resized_image, *img_f32, params.image_mean, params.image_std);
-                res_imgs->entries.push_back(std::move(img_f32));
-            } break;
-
-        case PROJECTOR_TYPE_GEMMA3NV:
-            {
-                clip_image_u8 resized_image;
-                int sz = params.image_size;
-                img_tool::resize(*img, resized_image, {sz, sz}, img_tool::RESIZE_ALGO_BILINEAR, false);
-                clip_image_f32_ptr img_f32(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized_image, *img_f32, params.image_mean, params.image_std);
-                res_imgs->entries.push_back(std::move(img_f32));
-            } break;
-
-        case PROJECTOR_TYPE_JANUS_PRO:
-            {
-                // Janus Pro preprocessing: pad to square with gray(127), resize to 384x384
-                const std::array<uint8_t, 3> pad_color = {127, 127, 127};
-                clip_image_u8 resized_image;
-                int sz = params.image_size;
-                img_tool::resize(*img, resized_image, {sz, sz}, img_tool::RESIZE_ALGO_BILINEAR, true, pad_color);
-                clip_image_f32_ptr img_f32(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized_image, *img_f32, params.image_mean, params.image_std);
-                res_imgs->entries.push_back(std::move(img_f32));
-            } break;
-
-        case PROJECTOR_TYPE_PHI4:
-        case PROJECTOR_TYPE_PIXTRAL:
-        case PROJECTOR_TYPE_LIGHTONOCR:
-            {
-                GGML_ASSERT(params.image_min_pixels > 0 && params.image_max_pixels > 0);
-                clip_image_u8 resized_image;
-                // the original pixtral model doesn't have n_merge
-                const int cur_merge = params.n_merge == 0 ? 1 : params.n_merge;
-                const clip_image_size target_size = img_tool::calc_size_preserved_ratio(
-                    original_size,
-                    params.patch_size * cur_merge,
-                    params.image_min_pixels,
-                    params.image_max_pixels);
-                img_tool::resize(*img, resized_image, target_size, img_tool::RESIZE_ALGO_BILINEAR);
-                clip_image_f32_ptr img_f32(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized_image, *img_f32, params.image_mean, params.image_std);
-                res_imgs->entries.push_back(std::move(img_f32));
-            } break;
-
-        case PROJECTOR_TYPE_LLAMA4:
-            {
-                GGML_ASSERT(!params.image_res_candidates.empty());
-                auto const inst = llava_uhd::get_slice_instructions(ctx, original_size);
-                std::vector<clip_image_u8_ptr> imgs = llava_uhd::slice_image(img, inst);
-
-                for (size_t i = 0; i < imgs.size(); ++i) {
-                    clip_image_f32_ptr res(clip_image_f32_init());
-                    normalize_image_u8_to_f32(*imgs[i], *res, params.image_mean, params.image_std);
-                    res_imgs->entries.push_back(std::move(res));
-                }
-
-                res_imgs->grid_x = inst.grid_size.width;
-                res_imgs->grid_y = inst.grid_size.height;
-            } break;
-
-        case PROJECTOR_TYPE_LFM2:
-            {
-                auto const inst = lfm2_vl_image_processor::get_slice_instructions(ctx, original_size);
-                std::vector<clip_image_u8_ptr> imgs = llava_uhd::slice_image(img, inst);
-
-                for (size_t i = 0; i < imgs.size(); ++i) {
-                    clip_image_f32_ptr res(clip_image_f32_init());
-                    normalize_image_u8_to_f32(*imgs[i], *res, params.image_mean, params.image_std);
-                    res_imgs->entries.push_back(std::move(res));
-                }
-
-                res_imgs->grid_x = inst.grid_size.width;
-                res_imgs->grid_y = inst.grid_size.height;
-            } break;
-
-        case PROJECTOR_TYPE_KIMIVL:
-            {
-                GGML_ASSERT(params.image_min_pixels > 0 && params.image_max_pixels > 0);
-                const clip_image_size target_size = img_tool::calc_size_preserved_ratio(
-                    original_size,
-                    params.patch_size * params.n_merge,
-                    params.image_min_pixels,
-                    params.image_max_pixels);
-                const std::array<uint8_t, 3> pad_color = {122, 116, 104};
-
-                clip_image_u8 resized_img;
-                img_tool::resize(*img, resized_img, target_size, img_tool::RESIZE_ALGO_BILINEAR, true, pad_color);
-                clip_image_f32_ptr res(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized_img, *res, params.image_mean, params.image_std);
-                res_imgs->entries.push_back(std::move(res));
-            } break;
-
-        case PROJECTOR_TYPE_KIMIK25:
-            {
-                GGML_ASSERT(params.image_min_pixels > 0 && params.image_max_pixels > 0);
-                const clip_image_size target_size = img_tool::calc_size_preserved_ratio(
-                    original_size,
-                    params.patch_size * params.n_merge,
-                    params.image_min_pixels,
-                    params.image_max_pixels);
-                const std::array<uint8_t, 3> pad_color = {0, 0, 0};
-
-                clip_image_u8 resized_img;
-                img_tool::resize(*img, resized_img, target_size, img_tool::RESIZE_ALGO_BICUBIC, true, pad_color);
-                clip_image_f32_ptr res(clip_image_f32_init());
-                normalize_image_u8_to_f32(resized_img, *res, params.image_mean, params.image_std);
-                res_imgs->entries.push_back(std::move(res));
-            } break;
-
-        case PROJECTOR_TYPE_MLP:
-        case PROJECTOR_TYPE_MLP_NORM:
-        case PROJECTOR_TYPE_LDP:
-        case PROJECTOR_TYPE_LDPV2:
-        case PROJECTOR_TYPE_COGVLM: // TODO @ngxson : is this correct for cogvlm?
-            {
-                // TODO @ngxson : refactor the code below to avoid duplicated logic
-
-                // the logic below is to pad the shorter side to the longer side with a background color: rgb(122, 116, 104)
-                // see https://github.com/haotian-liu/LLaVA/blob/e854a2bf85118c504f6f16bf5c3c7c92f8fa8c6b/llava/conversation.py#L113-L156
-
-                clip_image_u8_ptr temp(clip_image_u8_init()); // we will keep the input image data here temporarily
-
-                // The model config actually contains all we need to decide on how to preprocess, here we automatically switch to the new llava-1.6 preprocessing
-                if (params.image_res_candidates.empty()) { // pad_to_square
-                    // for llava-1.5, we resize image to a square, and pad the shorter side with a background color
-                    // see https://github.com/haotian-liu/LLaVA/blob/e854a2bf85118c504f6f16bf5c3c7c92f8fa8c6b/llava/conversation.py#L113-L156
-                    const int longer_side = std::max(img->nx, img->ny);
-                    temp->nx = longer_side;
-                    temp->ny = longer_side;
-                    temp->buf.resize(3 * longer_side * longer_side);
-
-                    // background color in RGB from LLaVA (this is the mean rgb color * 255)
-                    const std::array<uint8_t, 3> pad_color = {122, 116, 104};
-
-                    // resize the image to the target_size
-                    img_tool::resize(*img, *temp, clip_image_size{params.image_size, params.image_size}, img_tool::RESIZE_ALGO_BILINEAR, true, pad_color);
-
-                    clip_image_f32_ptr res(clip_image_f32_init());
-                    normalize_image_u8_to_f32(*temp, *res, params.image_mean, params.image_std);
-                    res_imgs->entries.push_back(std::move(res));
-
-                } else {
-                    // "spatial_unpad" with "anyres" processing for llava-1.6
-                    auto const inst = llava_uhd::get_slice_instructions(ctx, original_size);
-                    std::vector<clip_image_u8_ptr> imgs = llava_uhd::slice_image(img, inst);
-
-                    for (size_t i = 0; i < imgs.size(); ++i) {
-                        // clip_image_save_to_bmp(*imgs[i], "slice_" + std::to_string(i) + ".bmp");
-                        clip_image_f32_ptr res(clip_image_f32_init());
-                        normalize_image_u8_to_f32(*imgs[i], *res, params.image_mean, params.image_std);
-                        res_imgs->entries.push_back(std::move(res));
-                    }
-                }
-            } break;
-
-        default:
-            LOG_ERR("%s: unsupported projector type %d\n", __func__, ctx->proj_type());
-            return false;
-    }
-
-    return true;
-}
-
 ggml_tensor * clip_get_newline_tensor(const struct clip_ctx * ctx) {
     return ctx->model.image_newline;
 }
@@ -3363,8 +2796,11 @@ int clip_n_output_tokens_x(const struct clip_ctx * ctx, struct clip_image_f32 *
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
         case PROJECTOR_TYPE_PADDLEOCR:
+        case PROJECTOR_TYPE_HUNYUANOCR:
         case PROJECTOR_TYPE_YOUTUVL:
             return (img->nx / params.patch_size) / 2;
+        case PROJECTOR_TYPE_STEP3VL:
+            return img->nx / (params.patch_size * params.n_merge);
         default:
             break;
     }
@@ -3382,6 +2818,8 @@ int clip_n_output_tokens_y(const struct clip_ctx * ctx, struct clip_image_f32 *
         case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_YOUTUVL:
             return (img->ny / params.patch_size) / 2;
+        case PROJECTOR_TYPE_STEP3VL:
+            return img->ny / (params.patch_size * params.n_merge);
         default:
             break;
     }
@@ -3452,7 +2890,14 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                 int y_patch = img->ny / (params.patch_size * 2);
                 n_patches = x_patch * y_patch;
             } break;
+        case PROJECTOR_TYPE_STEP3VL:
+            {
+                int x_patch = img->nx / (params.patch_size * params.n_merge);
+                int y_patch = img->ny / (params.patch_size * params.n_merge);
+                n_patches = x_patch * y_patch;
+            } break;
         case PROJECTOR_TYPE_GEMMA3:
+        case PROJECTOR_TYPE_GEMMA4V:
         case PROJECTOR_TYPE_IDEFICS3:
         case PROJECTOR_TYPE_INTERNVL:
         case PROJECTOR_TYPE_NEMOTRON_V2_VL:
@@ -3479,6 +2924,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                 n_patches = x_patch * y_patch;
             } break;
         case PROJECTOR_TYPE_PADDLEOCR:
+        case PROJECTOR_TYPE_DOTS_OCR:
             {
                 // dynamic size
                 int n_merge = ctx->model.hparams.n_merge;
@@ -3501,6 +2947,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_QWEN2A:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             {
                 n_patches = img->nx;
@@ -3520,6 +2967,15 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                     n_patches /= 2;
                 }
             } break;
+        case PROJECTOR_TYPE_QWEN3A:
+            {
+                // 3x stride-2 conv2d: each step is floor((n-1)/2)+1
+                int n = img->nx;
+                n = (n - 1) / 2 + 1;
+                n = (n - 1) / 2 + 1;
+                n = (n - 1) / 2 + 1;
+                n_patches = n;
+            } break;
         case PROJECTOR_TYPE_GLMA:
             {
                 n_patches = img->nx;
@@ -3534,10 +2990,39 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
             {
                 n_patches += 2; // for BOI and EOI token embeddings
             } break;
+        case PROJECTOR_TYPE_DEEPSEEKOCR:
+        {
+            // SAM encoder applies two stride-2 convolutions (net_2 and net_3)
+            // which reduces spatial dimensions by 4x in each direction (16x total)
+            // E.g., 64x64 -> 16x16 patches
+            n_patches /= 16;
+
+            // build_global_local_features adds image newlines and view separator
+            // Formula: h*(w+1) + 1 where h = w = sqrt(n_patches)
+            int h = static_cast<int>(std::sqrt(static_cast<float>(n_patches)));
+            n_patches = h * (h + 1) + 1;
+        } break;
+        case PROJECTOR_TYPE_HUNYUANOCR:
+            {
+                int merge = ctx->model.hparams.n_merge;
+                int ow = (img->nx / patch_size) / merge;
+                int oh = (img->ny / patch_size) / merge;
+                n_patches = (ow + 1) * oh + 2;
+            } break;
         case PROJECTOR_TYPE_LFM2A:
             {
                 n_patches = ((((img->nx + 1) / 2) + 1) / 2 + 1) / 2;
             } break;
+        case PROJECTOR_TYPE_GEMMA4A:
+            {
+                // Two Conv2D stride-2: O = floor((I + 2p - k) / s) + 1, p=1, k=3, s=2
+                // O = floor((I - 1) / 2) + 1
+                int n = img->nx;
+                for (int i = 0; i < 2; i++) {
+                    n = (n - 1) / 2 + 1;
+                }
+                n_patches = n;
+            } break;
         default:
             GGML_ABORT("unsupported projector type");
     }
@@ -3734,6 +3219,18 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
 
                 set_input_i32("positions", positions);
             } break;
+        case PROJECTOR_TYPE_STEP3VL:
+            {
+                std::vector<int32_t> pos_data(n_pos);
+                for (int i = 0; i < n_pos; i++) {
+                    pos_data[i] = i / pos_w;
+                }
+                set_input_i32("pos_h", pos_data);
+                for (int i = 0; i < n_pos; i++) {
+                    pos_data[i] = i % pos_w;
+                }
+                set_input_i32("pos_w", pos_data);
+            } break;
         case PROJECTOR_TYPE_PADDLEOCR:
             {
                 const int merge_ratio = hparams.n_merge;
@@ -3756,6 +3253,28 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                     }
                 }
 
+                set_input_i32("positions", positions);
+            } break;
+        case PROJECTOR_TYPE_DOTS_OCR:
+            {
+                const int pw = image_size_width / patch_size;
+                const int ph = image_size_height / patch_size;
+                const int n_pos = ph * pw;
+                std::vector<int> positions(n_pos * 4);
+                int ptr = 0;
+
+                // flat layout: [h, w, h, w] for each patch
+                // patches are in raster order (matching conv2d output)
+                for (int y = 0; y < ph; y++) {
+                    for (int x = 0; x < pw; x++) {
+                        positions[          ptr] = y;
+                        positions[  n_pos + ptr] = x;
+                        positions[2*n_pos + ptr] = y;
+                        positions[3*n_pos + ptr] = x;
+                        ptr++;
+                    }
+                }
+
                 set_input_i32("positions", positions);
             } break;
         case PROJECTOR_TYPE_QWEN25VL:
@@ -3891,20 +3410,59 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                 }
                 set_input_i32("patches", patches);
             } break;
+        case PROJECTOR_TYPE_GEMMA4V:
+            {
+                // set (col, row) patch positions for learned positional embedding
+                const int n_cols = image_size_width  / patch_size;
+                std::vector<int> pos_x(num_patches), pos_y(num_patches);
+                for (int i = 0; i < num_patches; i++) {
+                    pos_x[i] = i % n_cols;
+                    pos_y[i] = i / n_cols;
+                }
+                set_input_i32("pos_x", pos_x);
+                set_input_i32("pos_y", pos_y);
+            } break;
+        case PROJECTOR_TYPE_DEEPSEEKOCR:
+            {
+                GGML_ASSERT(pos_w == pos_h);
+
+                const int window = hparams.attn_window_size;
+                const int pos = pos_w;
+                std::vector<int32_t> rel_pos_indices_local(window * window);
+                std::vector<int32_t> rel_pos_indices_global(pos * pos);
+
+                for (int q = 0; q < window; q++) {
+                    for (int k = 0; k < window; k++) {
+                        rel_pos_indices_local[q * window + k] = q - k + window - 1;
+                    }
+                }
+
+                for (int q = 0; q < pos; q++) {
+                    for (int k = 0; k < pos; k++) {
+                        rel_pos_indices_global[q * pos + k] = q - k + pos - 1;
+                    }
+                }
+
+                set_input_i32("rel_pos_indices_local", rel_pos_indices_local);
+                set_input_i32("rel_pos_indices_global", rel_pos_indices_global);
+            } break;
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_GEMMA3NV:
         case PROJECTOR_TYPE_IDEFICS3:
         case PROJECTOR_TYPE_INTERNVL:
         case PROJECTOR_TYPE_NEMOTRON_V2_VL:
         case PROJECTOR_TYPE_QWEN2A:
+        case PROJECTOR_TYPE_QWEN3A:
         case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_LFM2:
         case PROJECTOR_TYPE_VOXTRAL:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
         case PROJECTOR_TYPE_JANUS_PRO:
         case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_COGVLM:
+        case PROJECTOR_TYPE_HUNYUANOCR:
             {
                 // do nothing
             } break;
@@ -3925,6 +3483,56 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                 }
                 set_input_i32("pos_w", pos_data);
             } break;
+        case PROJECTOR_TYPE_GEMMA4A:
+            {
+                GGML_ASSERT(imgs.entries.size() == 1);
+                const auto & img0 = imgs.entries.front();
+                // Compute n_pos matching SSCP output: two stride-2 convs
+                int n_pos = img0->nx;
+                for (int i = 0; i < 2; i++) { n_pos = (n_pos - 1) / 2 + 1; }
+
+                // Chunked local attention: blocked causal mask and RPE
+                const int chunk_size   = 12;
+                const int max_past     = 12;
+                const int context_size = chunk_size + max_past;
+                const int num_blocks   = (n_pos + chunk_size - 1) / chunk_size;
+
+                // Blocked causal attention mask: [context_size, chunk_size, num_blocks]
+                {
+                    std::vector<float> mask(context_size * chunk_size * num_blocks, -1e9f);
+                    for (int b = 0; b < num_blocks; b++) {
+                        for (int q = 0; q < chunk_size; q++) {
+                            int gq = b * chunk_size + q;
+                            for (int k = 0; k < context_size; k++) {
+                                int gk = b * chunk_size - max_past + k;
+                                if (gq < n_pos && gk >= 0 && gk < n_pos && gk <= gq && (gq - gk) < max_past) {
+                                    mask[k + q * context_size + b * context_size * chunk_size] = 0.0f;
+                                }
+                            }
+                        }
+                    }
+                    set_input_f32("kq_mask", mask);
+                }
+
+                // Sinusoidal RPE: 13 positions [12, 11, ..., 0]
+                {
+                    const int n_embd = ctx->model.hparams.n_embd;
+                    const int num_timescales = n_embd / 2;
+                    const float log_timescale_increment = logf(10000.0f) / std::max(num_timescales - 1, 1);
+                    const int rpe_len = max_past + 1;
+                    std::vector<float> pos_emb(n_embd * rpe_len, 0.0f);
+                    for (int p = 0; p < rpe_len; p++) {
+                        float position = (float)(max_past - p);
+                        for (int i = 0; i < num_timescales; i++) {
+                            float inv_ts = expf(-(float)i * log_timescale_increment);
+                            float scaled = position * inv_ts;
+                            pos_emb[p * n_embd + i]                 = sinf(scaled);
+                            pos_emb[p * n_embd + i + num_timescales] = cosf(scaled);
+                        }
+                    }
+                    set_input_f32("pos_emb", pos_emb);
+                }
+            } break;
         case PROJECTOR_TYPE_LFM2A:
             {
                 GGML_ASSERT(imgs.entries.size() == 1);
@@ -4036,6 +3644,7 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_PIXTRAL:
         case PROJECTOR_TYPE_LIGHTONOCR:
+        case PROJECTOR_TYPE_DOTS_OCR:
             return ctx->model.mm_2_w->ne[1];
         case PROJECTOR_TYPE_MLP_NORM:
             return ctx->model.mm_3_b->ne[0];
@@ -4051,15 +3660,21 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_QWEN3VL:
             // main path + deepstack paths
             return ctx->model.mm_1_b->ne[0] * (1 + ctx->model.n_deepstack_layers);
+        case PROJECTOR_TYPE_STEP3VL:
+            return ctx->model.mm_model_proj->ne[1];
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_GEMMA3NV:
             return ctx->model.mm_input_proj_w->ne[0];
+        case PROJECTOR_TYPE_GEMMA4V:
+            return ctx->model.mm_input_proj_w->ne[1];
         case PROJECTOR_TYPE_IDEFICS3:
-            return ctx->model.projection->ne[1];
+            return ctx->model.mm_fc_w->ne[1];
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             return ctx->model.mm_2_w->ne[1];
+        case PROJECTOR_TYPE_MERALION:
+            return ctx->model.mm_3_w->ne[1]; // out_proj output dim
         case PROJECTOR_TYPE_INTERNVL:
         case PROJECTOR_TYPE_NEMOTRON_V2_VL:
             return ctx->model.mm_3_w->ne[1];
@@ -4067,17 +3682,24 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
             return ctx->model.mm_model_proj->ne[1];
         case PROJECTOR_TYPE_QWEN2A:
             return ctx->model.mm_fc_w->ne[1];
-        case PROJECTOR_TYPE_GLMA:
+        case PROJECTOR_TYPE_QWEN3A:
             return ctx->model.mm_2_w->ne[1];
+        case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_LFM2:
         case PROJECTOR_TYPE_KIMIVL:
         case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_KIMIK25:
             return ctx->model.mm_2_w->ne[1];
+        case PROJECTOR_TYPE_HUNYUANOCR:
+            return ctx->model.mm_model_proj->ne[1];
         case PROJECTOR_TYPE_COGVLM:
             return ctx->model.mm_4h_to_h_w->ne[1];
+        case PROJECTOR_TYPE_DEEPSEEKOCR:
+            return ctx->model.mm_fc_w->ne[1];
         case PROJECTOR_TYPE_LFM2A:
             return ctx->model.position_embeddings->ne[0];
+        case PROJECTOR_TYPE_GEMMA4A:
+            return ctx->model.hparams.projection_dim;
         case PROJECTOR_TYPE_GLM4V:
             return ctx->model.mm_ffn_down_w->ne[1];
         default:
@@ -4114,8 +3736,10 @@ bool clip_has_whisper_encoder(const struct clip_ctx * ctx) {
     switch (ctx->proj_type()) {
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_QWEN2A:
+        case PROJECTOR_TYPE_QWEN3A:
         case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_VOXTRAL:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             return true;
         default:
diff --git a/tools/mtmd/clip.h b/tools/mtmd/clip.h
index 71b58484d6ba4ed95ae23ba8360328bc37d50ec9..a859b38658d37b5598288e9caddc8795e2efccb7 100644
--- a/tools/mtmd/clip.h
+++ b/tools/mtmd/clip.h
@@ -97,9 +97,6 @@ struct clip_image_f32 * clip_image_f32_get_img(const struct clip_image_f32_batch
  */
 void clip_build_img_from_pixels(const unsigned char * rgb_pixels, int nx, int ny, struct clip_image_u8 * img);
 
-/** preprocess img and store the result in res_imgs, pad_to_square may be overridden to false depending on model configuration */
-bool clip_image_preprocess(struct clip_ctx * ctx, const struct clip_image_u8 * img, struct clip_image_f32_batch * res_imgs );
-
 struct ggml_tensor * clip_get_newline_tensor(const struct clip_ctx * ctx);
 
 bool clip_image_encode      (struct clip_ctx * ctx, int n_threads, struct clip_image_f32 * img, float * vec);
diff --git a/tools/mtmd/debug/mtmd-debug.cpp b/tools/mtmd/debug/mtmd-debug.cpp
index d42806ec3f8c366795589294cd6be7b243f049a1..6e32b283aa4d5e72354ca621a7f498494487b887 100644
--- a/tools/mtmd/debug/mtmd-debug.cpp
+++ b/tools/mtmd/debug/mtmd-debug.cpp
@@ -54,11 +54,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_MTMD, show_additional_info)) {
         return 1;
     }
 
-    common_init();
     mtmd_helper_log_set(common_log_default_callback, nullptr);
 
     if (params.mmproj.path.empty()) {
diff --git a/tools/mtmd/models/cogvlm.cpp b/tools/mtmd/models/cogvlm.cpp
index d5b739c6873b41a46c95dcad07dc839f01536e29..44bc884421df49cfdcf3884030385c94eabb5b99 100644
--- a/tools/mtmd/models/cogvlm.cpp
+++ b/tools/mtmd/models/cogvlm.cpp
@@ -19,7 +19,7 @@ ggml_cgraph * clip_graph_cogvlm::build() {
         auto & layer = model.layers[il];
         ggml_tensor * cur = inpL;
 
-        cur = ggml_mul_mat(ctx0, layer.qkv_w, cur);
+        cur = build_mm(layer.qkv_w, cur);
 
         cur = ggml_add(ctx0, cur, layer.qkv_b);
 
@@ -67,7 +67,7 @@ ggml_cgraph * clip_graph_cogvlm::build() {
         ggml_row_size(inpL->type, n_embd), 0);
 
     // Multiply with mm_model_proj
-    cur = ggml_mul_mat(ctx0, model.mm_model_proj, cur);
+    cur = build_mm(model.mm_model_proj, cur);
 
     // Apply layernorm, weight, bias
     cur = build_norm(cur, model.mm_post_fc_norm_w, model.mm_post_fc_norm_b, NORM_TYPE_NORMAL, 1e-5, -1);
@@ -76,16 +76,16 @@ ggml_cgraph * clip_graph_cogvlm::build() {
     cur = ggml_gelu_inplace(ctx0, cur);
 
     // Branch 1: multiply with mm_h_to_4h_w
-    ggml_tensor * h_to_4h = ggml_mul_mat(ctx0, model.mm_h_to_4h_w, cur);
+    ggml_tensor * h_to_4h = build_mm(model.mm_h_to_4h_w, cur);
 
     // Branch 2: multiply with mm_gate_w
-    ggml_tensor * gate = ggml_mul_mat(ctx0, model.mm_gate_w, cur);
+    ggml_tensor * gate = build_mm(model.mm_gate_w, cur);
 
     // Apply silu
     gate = ggml_swiglu_split(ctx0, gate, h_to_4h);
 
     // Apply mm_4h_to_h_w
-    cur = ggml_mul_mat(ctx0, model.mm_4h_to_h_w, gate);
+    cur = build_mm(model.mm_4h_to_h_w, gate);
 
     // Concatenate with boi and eoi
     cur = ggml_concat(ctx0, model.mm_boi, cur, 1);
diff --git a/tools/mtmd/models/conformer.cpp b/tools/mtmd/models/conformer.cpp
index 9b1fab487397c41a2d3e89019d6033b08d02912b..f58c5048f594f5135efb9a540c6efaff71838c51 100644
--- a/tools/mtmd/models/conformer.cpp
+++ b/tools/mtmd/models/conformer.cpp
@@ -56,7 +56,7 @@ ggml_cgraph * clip_graph_conformer::build() {
         cur = ggml_reshape_2d(ctx0, cur, cur->ne[0] * cur->ne[1], cur->ne[2]);
 
         // calculate out
-        cur = ggml_mul_mat(ctx0, model.pre_encode_out_w, cur);
+        cur = build_mm(model.pre_encode_out_w, cur);
         cur = ggml_add(ctx0, cur, model.pre_encode_out_b);
         cb(cur, "conformer.pre_encode.out", -1);
     }
@@ -87,7 +87,7 @@ ggml_cgraph * clip_graph_conformer::build() {
             cur = build_norm(residual, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_NORMAL, 1e-5, il);
             cb(cur, "conformer.layers.{}.norm_self_att", il);
 
-            ggml_tensor * Qcur     = ggml_mul_mat(ctx0, layer.q_w, cur);
+            ggml_tensor * Qcur     = build_mm(layer.q_w, cur);
             Qcur                   = ggml_add(ctx0, Qcur, layer.q_b);
             Qcur                   = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, Qcur->ne[1]);
             ggml_tensor * Q_bias_u = ggml_add(ctx0, Qcur, layer.pos_bias_u);
@@ -96,12 +96,12 @@ ggml_cgraph * clip_graph_conformer::build() {
             Q_bias_v               = ggml_permute(ctx0, Q_bias_v, 0, 2, 1, 3);
 
             // TODO @ngxson : some cont can/should be removed when ggml_mul_mat support these cases
-            ggml_tensor * Kcur = ggml_mul_mat(ctx0, layer.k_w, cur);
+            ggml_tensor * Kcur = build_mm(layer.k_w, cur);
             Kcur               = ggml_add(ctx0, Kcur, layer.k_b);
             Kcur               = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, Kcur->ne[1]);
             Kcur               = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 0, 2, 1, 3));
 
-            ggml_tensor * Vcur = ggml_mul_mat(ctx0, layer.v_w, cur);
+            ggml_tensor * Vcur = build_mm(layer.v_w, cur);
             Vcur               = ggml_add(ctx0, Vcur, layer.v_b);
             Vcur               = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, Vcur->ne[1]);
             Vcur               = ggml_cont(ctx0, ggml_permute(ctx0, Vcur, 1, 2, 0, 3));
@@ -111,7 +111,7 @@ ggml_cgraph * clip_graph_conformer::build() {
             matrix_ac               = ggml_cont(ctx0, ggml_permute(ctx0, matrix_ac, 1, 0, 2, 3));
             cb(matrix_ac, "conformer.layers.{}.self_attn.id3", il);
 
-            auto * p = ggml_mul_mat(ctx0, layer.linear_pos_w, pos_emb);
+            auto * p = build_mm(layer.linear_pos_w, pos_emb);
             cb(p, "conformer.layers.{}.self_attn.linear_pos", il);
             p = ggml_reshape_3d(ctx0, p, d_head, n_head, p->ne[1]);
             p = ggml_permute(ctx0, p, 0, 2, 1, 3);
@@ -143,7 +143,7 @@ ggml_cgraph * clip_graph_conformer::build() {
             x                  = ggml_permute(ctx0, x, 2, 0, 1, 3);
             x                  = ggml_cont_2d(ctx0, x, x->ne[0] * x->ne[1], x->ne[2]);
 
-            ggml_tensor * out = ggml_mul_mat(ctx0, layer.o_w, x);
+            ggml_tensor * out = build_mm(layer.o_w, x);
             out               = ggml_add(ctx0, out, layer.o_b);
             cb(out, "conformer.layers.{}.self_attn.linear_out", il);
 
@@ -157,7 +157,7 @@ ggml_cgraph * clip_graph_conformer::build() {
         // conv
         {
             auto * x = cur;
-            x = ggml_mul_mat(ctx0, layer.conv_pw1_w, x);
+            x = build_mm(layer.conv_pw1_w, x);
             x = ggml_add(ctx0, x, layer.conv_pw1_b);
             cb(x, "conformer.layers.{}.conv.pointwise_conv1", il);
 
@@ -181,7 +181,7 @@ ggml_cgraph * clip_graph_conformer::build() {
             x = ggml_silu(ctx0, x);
 
             // pointwise_conv2
-            x = ggml_mul_mat(ctx0, layer.conv_pw2_w, x);
+            x = build_mm(layer.conv_pw2_w, x);
             x = ggml_add(ctx0, x, layer.conv_pw2_b);
 
             cur = x;
diff --git a/tools/mtmd/models/glm4v.cpp b/tools/mtmd/models/glm4v.cpp
index 6f52df41ab0197d143f188f2e0eb07bed1f5273c..623d2e384b6b02409d5068755f6ef77b46b45254 100644
--- a/tools/mtmd/models/glm4v.cpp
+++ b/tools/mtmd/models/glm4v.cpp
@@ -97,7 +97,7 @@ ggml_cgraph * clip_graph_glm4v::build() {
 
     // FC projector
     {
-        cur = ggml_mul_mat(ctx0, model.projection, cur);
+        cur = build_mm(model.mm_fc_w, cur);
         // default LayerNorm (post_projection_norm)
         cur = build_norm(cur, model.mm_post_norm_w, model.mm_post_norm_b, NORM_TYPE_NORMAL, 1e-5, -1);
         cur = ggml_gelu_erf(ctx0, cur);
diff --git a/tools/mtmd/models/llama4.cpp b/tools/mtmd/models/llama4.cpp
index 30d1df5bcdd65f1211d9f942e62dbc5885780d93..01af54bbab7e0d8d4b002e0234467fa35104d0cc 100644
--- a/tools/mtmd/models/llama4.cpp
+++ b/tools/mtmd/models/llama4.cpp
@@ -22,7 +22,7 @@ ggml_cgraph * clip_graph_llama4::build() {
         ggml_tensor * kernel = ggml_reshape_4d(ctx0, model.patch_embeddings_0,
                                                 patch_size, patch_size, 3, n_embd);
         inp = ggml_im2col(ctx0, kernel, inp, patch_size, patch_size, 0, 0, 1, 1, true, inp->type);
-        inp = ggml_mul_mat(ctx0, model.patch_embeddings_0, inp);
+        inp = build_mm(model.patch_embeddings_0, inp);
         inp = ggml_reshape_2d(ctx0, inp, n_embd, n_patches);
         cb(inp, "patch_conv", -1);
     }
@@ -78,15 +78,15 @@ ggml_cgraph * clip_graph_llama4::build() {
 
     // based on Llama4VisionMLP2 (always uses GELU activation, no bias)
     {
-        cur = ggml_mul_mat(ctx0, model.mm_model_mlp_1_w, cur);
+        cur = build_mm(model.mm_model_mlp_1_w, cur);
         cur = ggml_gelu(ctx0, cur);
-        cur = ggml_mul_mat(ctx0, model.mm_model_mlp_2_w, cur);
+        cur = build_mm(model.mm_model_mlp_2_w, cur);
         cur = ggml_gelu(ctx0, cur);
         cb(cur, "adapter_mlp", -1);
     }
 
     // Llama4MultiModalProjector
-    cur = ggml_mul_mat(ctx0, model.mm_model_proj, cur);
+    cur = build_mm(model.mm_model_proj, cur);
     cb(cur, "projected", -1);
 
     // build the graph
diff --git a/tools/mtmd/models/llava.cpp b/tools/mtmd/models/llava.cpp
index 0bfb5f05f66d7e83dd2b6df2d6b225eb08ea4c70..4af17ccfe853cb858fbbcd44ec206376bcb78d20 100644
--- a/tools/mtmd/models/llava.cpp
+++ b/tools/mtmd/models/llava.cpp
@@ -70,17 +70,17 @@ ggml_cgraph * clip_graph_llava::build() {
 
         // self-attention
         {
-            ggml_tensor * Qcur = ggml_mul_mat(ctx0, layer.q_w, cur);
+            ggml_tensor * Qcur = build_mm(layer.q_w, cur);
             if (layer.q_b) {
                 Qcur = ggml_add(ctx0, Qcur, layer.q_b);
             }
 
-            ggml_tensor * Kcur = ggml_mul_mat(ctx0, layer.k_w, cur);
+            ggml_tensor * Kcur = build_mm(layer.k_w, cur);
             if (layer.k_b) {
                 Kcur = ggml_add(ctx0, Kcur, layer.k_b);
             }
 
-            ggml_tensor * Vcur = ggml_mul_mat(ctx0, layer.v_w, cur);
+            ggml_tensor * Vcur = build_mm(layer.v_w, cur);
             if (layer.v_b) {
                 Vcur = ggml_add(ctx0, Vcur, layer.v_b);
             }
@@ -164,17 +164,17 @@ ggml_cgraph * clip_graph_llava::build() {
 
         // llava projector
         if (proj_type == PROJECTOR_TYPE_MLP) {
-            embeddings = ggml_mul_mat(ctx0, model.mm_0_w, embeddings);
+            embeddings = build_mm(model.mm_0_w, embeddings);
             embeddings = ggml_add(ctx0, embeddings, model.mm_0_b);
 
             embeddings = ggml_gelu(ctx0, embeddings);
             if (model.mm_2_w) {
-                embeddings = ggml_mul_mat(ctx0, model.mm_2_w, embeddings);
+                embeddings = build_mm(model.mm_2_w, embeddings);
                 embeddings = ggml_add(ctx0, embeddings, model.mm_2_b);
             }
         }
         else if (proj_type == PROJECTOR_TYPE_MLP_NORM) {
-            embeddings = ggml_mul_mat(ctx0, model.mm_0_w, embeddings);
+            embeddings = build_mm(model.mm_0_w, embeddings);
             embeddings = ggml_add(ctx0, embeddings, model.mm_0_b);
             // ggml_tensor_printf(embeddings, "mm_0_w",0,true,false);
             // First LayerNorm
@@ -186,7 +186,7 @@ ggml_cgraph * clip_graph_llava::build() {
             embeddings = ggml_gelu(ctx0, embeddings);
 
             // Second linear layer
-            embeddings = ggml_mul_mat(ctx0, model.mm_3_w, embeddings);
+            embeddings = build_mm(model.mm_3_w, embeddings);
             embeddings = ggml_add(ctx0, embeddings, model.mm_3_b);
 
             // Second LayerNorm
@@ -197,10 +197,10 @@ ggml_cgraph * clip_graph_llava::build() {
         else if (proj_type == PROJECTOR_TYPE_LDP) {
             // MobileVLM projector
             int n_patch = 24;
-            ggml_tensor * mlp_1 = ggml_mul_mat(ctx0, model.mm_model_mlp_1_w, embeddings);
+            ggml_tensor * mlp_1 = build_mm(model.mm_model_mlp_1_w, embeddings);
             mlp_1 = ggml_add(ctx0, mlp_1, model.mm_model_mlp_1_b);
             mlp_1 = ggml_gelu(ctx0, mlp_1);
-            ggml_tensor * mlp_3 = ggml_mul_mat(ctx0, model.mm_model_mlp_3_w, mlp_1);
+            ggml_tensor * mlp_3 = build_mm(model.mm_model_mlp_3_w, mlp_1);
             mlp_3 = ggml_add(ctx0, mlp_3, model.mm_model_mlp_3_b);
             // mlp_3 shape = [1, 576, 2048], ne = [2048, 576, 1, 1]
 
@@ -229,10 +229,10 @@ ggml_cgraph * clip_graph_llava::build() {
                 // block_1 shape = [1, 2048, 1, 1], ne = [1, 1, 2048, 1]
                 // pointwise conv
                 block_1 = ggml_reshape_2d(ctx0, block_1, block_1->ne[0]*block_1->ne[1]*block_1->ne[2], block_1->ne[3]);
-                block_1 = ggml_mul_mat(ctx0, model.mm_model_block_1_block_1_fc1_w, block_1);
+                block_1 = build_mm(model.mm_model_block_1_block_1_fc1_w, block_1);
                 block_1 = ggml_add(ctx0, block_1, model.mm_model_block_1_block_1_fc1_b);
                 block_1 = ggml_relu(ctx0, block_1);
-                block_1 = ggml_mul_mat(ctx0, model.mm_model_block_1_block_1_fc2_w, block_1);
+                block_1 = build_mm(model.mm_model_block_1_block_1_fc2_w, block_1);
                 block_1 = ggml_add(ctx0, block_1, model.mm_model_block_1_block_1_fc2_b);
                 block_1 = ggml_hardsigmoid(ctx0, block_1);
                 // block_1_hw shape = [1, 2048, 24, 24], ne = [24, 24, 2048, 1], block_1 shape = [1, 2048], ne = [2048, 1, 1, 1]
@@ -244,7 +244,7 @@ ggml_cgraph * clip_graph_llava::build() {
                 block_1 = ggml_cont(ctx0, ggml_permute(ctx0, block_1, 1, 0, 2, 3));
 
                 // block_1 shape = [1, 24*24, 2048], ne = [24*24, 2048, 1]
-                block_1 = ggml_mul_mat(ctx0, model.mm_model_block_1_block_2_0_w, block_1);
+                block_1 = build_mm(model.mm_model_block_1_block_2_0_w, block_1);
                 block_1 = ggml_reshape_4d(ctx0, block_1, block_1->ne[0], w, h, block_1->ne[3]);
 
                 // block_1 shape = [1, 24, 24, 2048], ne = [2048, 24, 24, 1]
@@ -277,10 +277,10 @@ ggml_cgraph * clip_graph_llava::build() {
                 // block_1 shape = [1, 2048, 1, 1], ne = [1, 1, 2048, 1]
                 // pointwise conv
                 block_1 = ggml_reshape_2d(ctx0, block_1, block_1->ne[0]*block_1->ne[1]*block_1->ne[2], block_1->ne[3]);
-                block_1 = ggml_mul_mat(ctx0, model.mm_model_block_2_block_1_fc1_w, block_1);
+                block_1 = build_mm(model.mm_model_block_2_block_1_fc1_w, block_1);
                 block_1 = ggml_add(ctx0, block_1, model.mm_model_block_2_block_1_fc1_b);
                 block_1 = ggml_relu(ctx0, block_1);
-                block_1 = ggml_mul_mat(ctx0, model.mm_model_block_2_block_1_fc2_w, block_1);
+                block_1 = build_mm(model.mm_model_block_2_block_1_fc2_w, block_1);
                 block_1 = ggml_add(ctx0, block_1, model.mm_model_block_2_block_1_fc2_b);
                 block_1 = ggml_hardsigmoid(ctx0, block_1);
 
@@ -292,7 +292,7 @@ ggml_cgraph * clip_graph_llava::build() {
                 block_1 = ggml_reshape_3d(ctx0, block_1, w*h, block_1->ne[2], block_1->ne[3]);
                 block_1 = ggml_cont(ctx0, ggml_permute(ctx0, block_1, 1, 0, 2, 3));
                 // block_1 shape = [1, 24*24, 2048], ne = [24*24, 2048, 1]
-                block_1 = ggml_mul_mat(ctx0, model.mm_model_block_2_block_2_0_w, block_1);
+                block_1 = build_mm(model.mm_model_block_2_block_2_0_w, block_1);
                 block_1 = ggml_reshape_4d(ctx0, block_1, block_1->ne[0], w, h, block_1->ne[3]);
 
 
@@ -307,10 +307,10 @@ ggml_cgraph * clip_graph_llava::build() {
         else if (proj_type == PROJECTOR_TYPE_LDPV2)
         {
             int n_patch = 24;
-            ggml_tensor * mlp_0 = ggml_mul_mat(ctx0, model.mm_model_mlp_0_w, embeddings);
+            ggml_tensor * mlp_0 = build_mm(model.mm_model_mlp_0_w, embeddings);
             mlp_0 = ggml_add(ctx0, mlp_0, model.mm_model_mlp_0_b);
             mlp_0 = ggml_gelu(ctx0, mlp_0);
-            ggml_tensor * mlp_2 = ggml_mul_mat(ctx0, model.mm_model_mlp_2_w, mlp_0);
+            ggml_tensor * mlp_2 = build_mm(model.mm_model_mlp_2_w, mlp_0);
             mlp_2 = ggml_add(ctx0, mlp_2, model.mm_model_mlp_2_b);
             // mlp_2 ne = [2048, 576, 1, 1]
             // // AVG Pool Layer 2*2, strides = 2
@@ -344,15 +344,15 @@ ggml_cgraph * clip_graph_llava::build() {
         embeddings = ggml_add(ctx0, embeddings, model.mm_model_adapter_conv_b);
         // GLU
         {
-            embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_0_w, embeddings);
+            embeddings = build_mm(model.mm_model_mlp_0_w, embeddings);
             embeddings = ggml_norm(ctx0, embeddings, eps);
             embeddings = ggml_add(ctx0, ggml_mul(ctx0, embeddings, model.mm_model_ln_q_w), model.mm_model_ln_q_b);
             embeddings = ggml_gelu_inplace(ctx0, embeddings);
             ggml_tensor * x = embeddings;
-            embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_2_w, embeddings);
-            x = ggml_mul_mat(ctx0, model.mm_model_mlp_1_w,x);
+            embeddings = build_mm(model.mm_model_mlp_2_w, embeddings);
+            x = build_mm(model.mm_model_mlp_1_w,x);
             embeddings = ggml_swiglu_split(ctx0, embeddings, x);
-            embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_3_w, embeddings);
+            embeddings = build_mm(model.mm_model_mlp_3_w, embeddings);
         }
         // arrangement of BOI/EOI token embeddings
         // note: these embeddings are not present in text model, hence we cannot process them as text tokens
diff --git a/tools/mtmd/models/minicpmv.cpp b/tools/mtmd/models/minicpmv.cpp
index 3594ea29fa946dfb2c64e4541fb5416f85bc035a..924117ab2a1dd0a6b708db0e4a97392f38697e8e 100644
--- a/tools/mtmd/models/minicpmv.cpp
+++ b/tools/mtmd/models/minicpmv.cpp
@@ -38,7 +38,7 @@ ggml_cgraph * clip_graph_minicpmv::build() {
     // resampler projector (it is just another transformer)
 
     ggml_tensor * q = model.mm_model_query;
-    ggml_tensor * v = ggml_mul_mat(ctx0, model.mm_model_kv_proj, embeddings);
+    ggml_tensor * v = build_mm(model.mm_model_kv_proj, embeddings);
 
     // norm
     q = build_norm(q, model.mm_model_ln_q_w,  model.mm_model_ln_q_b,  NORM_TYPE_NORMAL, eps, -1);
@@ -77,13 +77,13 @@ ggml_cgraph * clip_graph_minicpmv::build() {
         // Use actual config value if available, otherwise fall back to hardcoded values
         int num_query = hparams.minicpmv_query_num;
         ggml_tensor * Q = ggml_add(ctx0,
-            ggml_mul_mat(ctx0, model.mm_model_attn_q_w, q),
+            build_mm(model.mm_model_attn_q_w, q),
             model.mm_model_attn_q_b);
         ggml_tensor * K = ggml_add(ctx0,
-            ggml_mul_mat(ctx0, model.mm_model_attn_k_w, k),
+            build_mm(model.mm_model_attn_k_w, k),
             model.mm_model_attn_k_b);
         ggml_tensor * V = ggml_add(ctx0,
-            ggml_mul_mat(ctx0, model.mm_model_attn_v_w, v),
+            build_mm(model.mm_model_attn_v_w, v),
             model.mm_model_attn_v_b);
 
         Q = ggml_reshape_3d(ctx0, Q, d_head, n_head, num_query);
@@ -105,7 +105,7 @@ ggml_cgraph * clip_graph_minicpmv::build() {
     embeddings = build_norm(embeddings, model.mm_model_ln_post_w, model.mm_model_ln_post_b, NORM_TYPE_NORMAL, eps, -1);
 
     // projection
-    embeddings = ggml_mul_mat(ctx0, model.mm_model_proj, embeddings);
+    embeddings = build_mm(model.mm_model_proj, embeddings);
 
     // build the graph
     ggml_build_forward_expand(gf, embeddings);
diff --git a/tools/mtmd/models/mobilenetv5.cpp b/tools/mtmd/models/mobilenetv5.cpp
index 593afa1ddce8a0cf5ce2c50c86d10543e16f5f1a..1c42218d2affc3329a41fc498695de52ee7e4098 100644
--- a/tools/mtmd/models/mobilenetv5.cpp
+++ b/tools/mtmd/models/mobilenetv5.cpp
@@ -429,7 +429,7 @@ ggml_cgraph * clip_graph_mobilenetv5::build() {
     // PyTorch: embedding_projection = nn.Linear(vision_hidden, text_hidden, bias=False)
     // Weight stored as [out_features, in_features] = [text_hidden_size, vision_hidden_size]
     if (model.mm_input_proj_w) {
-        cur = ggml_mul_mat(ctx0, model.mm_input_proj_w, cur);
+        cur = build_mm(model.mm_input_proj_w, cur);
     }
 
     // 5. POST PROJECTION NORM
diff --git a/tools/mtmd/models/models.h b/tools/mtmd/models/models.h
index aff222c71d3afeba23cf0e68f43669e732faf1f4..03d99e15b0547a0371df5d9842ab70bfb3b5e05d 100644
--- a/tools/mtmd/models/models.h
+++ b/tools/mtmd/models/models.h
@@ -12,6 +12,12 @@ struct clip_graph_siglip : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_gemma4v : clip_graph {
+    clip_graph_gemma4v(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+    ggml_tensor * build_mm(ggml_tensor * w, ggml_tensor * x) const override;
+};
+
 struct clip_graph_pixtral : clip_graph {
     clip_graph_pixtral(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -27,6 +33,11 @@ struct clip_graph_qwen3vl : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_step3vl : clip_graph {
+    clip_graph_step3vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_youtuvl : clip_graph {
     clip_graph_youtuvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -62,6 +73,11 @@ struct clip_graph_paddleocr : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_dotsocr : clip_graph {
+    clip_graph_dotsocr(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_cogvlm : clip_graph {
     clip_graph_cogvlm(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -77,16 +93,32 @@ struct clip_graph_whisper_enc : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_deepseekocr : clip_graph {
+    clip_graph_deepseekocr(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_conformer : clip_graph {
     clip_graph_conformer(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_gemma4a : clip_graph {
+    clip_graph_gemma4a(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+    ggml_tensor * build_mm(ggml_tensor * w, ggml_tensor * x) const override;
+};
+
 struct clip_graph_glm4v : clip_graph {
     clip_graph_glm4v(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_hunyuanocr : clip_graph {
+    clip_graph_hunyuanocr(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_mobilenetv5 : clip_graph {
     clip_graph_mobilenetv5(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -120,6 +152,11 @@ struct clip_graph_mobilenetv5 : clip_graph {
         const mobilenetv5_block & block);
 };
 
+struct clip_graph_qwen3a : clip_graph {
+    clip_graph_qwen3a(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_kimik25 : clip_graph {
     clip_graph_kimik25(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
diff --git a/tools/mtmd/models/pixtral.cpp b/tools/mtmd/models/pixtral.cpp
index a849210b53d5ad52d7bb2d69e57925122009e88c..d6d037b6941256c71227a449efedefd1049ccb8a 100644
--- a/tools/mtmd/models/pixtral.cpp
+++ b/tools/mtmd/models/pixtral.cpp
@@ -43,7 +43,7 @@ ggml_cgraph * clip_graph_pixtral::build() {
 
         // project to n_embd
         cur = ggml_reshape_2d(ctx0, cur, cur->ne[0], cur->ne[1] * cur->ne[2]);
-        cur = ggml_mul_mat(ctx0, model.mm_patch_merger_w, cur);
+        cur = build_mm(model.mm_patch_merger_w, cur);
     }
 
     // LlavaMultiModalProjector (always using GELU activation)
diff --git a/tools/mtmd/models/qwen2vl.cpp b/tools/mtmd/models/qwen2vl.cpp
index 85f158bb1c00b88c91d06df3c6b63279cdb24548..ebf10757376b0dcbaf5382091ac32d04d42d52bb 100644
--- a/tools/mtmd/models/qwen2vl.cpp
+++ b/tools/mtmd/models/qwen2vl.cpp
@@ -90,11 +90,11 @@ ggml_cgraph * clip_graph_qwen2vl::build() {
         // self-attention
         {
             ggml_tensor * Qcur = ggml_add(ctx0,
-                ggml_mul_mat(ctx0, layer.q_w, cur), layer.q_b);
+                build_mm(layer.q_w, cur), layer.q_b);
             ggml_tensor * Kcur = ggml_add(ctx0,
-                ggml_mul_mat(ctx0, layer.k_w, cur), layer.k_b);
+                build_mm(layer.k_w, cur), layer.k_b);
             ggml_tensor * Vcur = ggml_add(ctx0,
-                ggml_mul_mat(ctx0, layer.v_w, cur), layer.v_b);
+                build_mm(layer.v_w, cur), layer.v_b);
 
             Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_patches);
             Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_patches);
diff --git a/tools/mtmd/models/qwen3vl.cpp b/tools/mtmd/models/qwen3vl.cpp
index 5ecb10fe4382732c1acb1a4421d57af0947bde50..fa1100dda8d5d08df6553008136f506659c57572 100644
--- a/tools/mtmd/models/qwen3vl.cpp
+++ b/tools/mtmd/models/qwen3vl.cpp
@@ -85,7 +85,7 @@ ggml_cgraph * clip_graph_qwen3vl::build() {
 
         // self-attention
         {
-            cur = ggml_mul_mat(ctx0, layer.qkv_w, cur);
+            cur = build_mm(layer.qkv_w, cur);
             cur = ggml_add(ctx0, cur, layer.qkv_b);
 
             ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, d_head, n_head, n_pos,
diff --git a/tools/mtmd/models/siglip.cpp b/tools/mtmd/models/siglip.cpp
index 75f9b4db448855d7b341e9ea995d1102f9268231..7ef98eed0ec9db2d3a0d76f457962864fa9bfe1e 100644
--- a/tools/mtmd/models/siglip.cpp
+++ b/tools/mtmd/models/siglip.cpp
@@ -43,7 +43,7 @@ ggml_cgraph * clip_graph_siglip::build() {
         // https://github.com/huggingface/transformers/blob/0a950e0bbe1ed58d5401a6b547af19f15f0c195e/src/transformers/models/idefics3/modeling_idefics3.py#L578
         const int scale_factor = model.hparams.n_merge;
         cur = build_patch_merge_permute(cur, scale_factor);
-        cur = ggml_mul_mat(ctx0, model.projection, cur);
+        cur = build_mm(model.mm_fc_w, cur);
 
     } else if (proj_type == PROJECTOR_TYPE_LFM2) {
         // pixel unshuffle block
diff --git a/tools/mtmd/models/whisper-enc.cpp b/tools/mtmd/models/whisper-enc.cpp
index 2f2b12775510ef592d50d49593816ac76eb3b8cc..2a82ae50bf5f84027787d10190f914c74d8d74f4 100644
--- a/tools/mtmd/models/whisper-enc.cpp
+++ b/tools/mtmd/models/whisper-enc.cpp
@@ -59,7 +59,7 @@ ggml_cgraph * clip_graph_whisper_enc::build() {
         cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
 
         // ffn in
-        cur = ggml_mul_mat(ctx0, model.mm_1_w, cur);
+        cur = build_mm(model.mm_1_w, cur);
 
         // swiglu
         // see SwiGLU in ultravox_model.py, the second half passed through is silu, not the first half
@@ -70,11 +70,11 @@ ggml_cgraph * clip_graph_whisper_enc::build() {
         cur = ggml_mul(ctx0, cur, model.mm_norm_mid_w);
 
         // ffn out
-        cur = ggml_mul_mat(ctx0, model.mm_2_w, cur);
+        cur = build_mm(model.mm_2_w, cur);
 
     } else if (proj_type == PROJECTOR_TYPE_QWEN2A) {
         // projector
-        cur = ggml_mul_mat(ctx0, model.mm_fc_w, cur);
+        cur = build_mm(model.mm_fc_w, cur);
         cur = ggml_add(ctx0, cur, model.mm_fc_b);
 
     } else if (proj_type == PROJECTOR_TYPE_VOXTRAL) {
@@ -95,6 +95,28 @@ ggml_cgraph * clip_graph_whisper_enc::build() {
             FFN_GELU_ERF,
             -1);
 
+    } else if (proj_type == PROJECTOR_TYPE_MERALION) {
+        // stack (above) -> ln -> linear0+silu -> GLU -> out
+        cur = ggml_norm(ctx0, cur, hparams.eps);
+        cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
+        cur = ggml_add(ctx0, cur, model.mm_norm_pre_b);
+
+        cur = ggml_mul_mat(ctx0, model.mm_0_w, cur);
+        cur = ggml_add(ctx0, cur, model.mm_0_b);
+        cur = ggml_silu(ctx0, cur);
+
+        ggml_tensor * gate = ggml_mul_mat(ctx0, model.mm_1_w, cur);
+        gate = ggml_add(ctx0, gate, model.mm_1_b);
+        gate = ggml_silu(ctx0, gate);
+
+        ggml_tensor * pool = ggml_mul_mat(ctx0, model.mm_2_w, cur);
+        pool = ggml_add(ctx0, pool, model.mm_2_b);
+
+        cur = ggml_mul(ctx0, gate, pool);
+
+        cur = ggml_mul_mat(ctx0, model.mm_3_w, cur);
+        cur = ggml_add(ctx0, cur, model.mm_3_b);
+
     } else if (proj_type == PROJECTOR_TYPE_GLMA) {
             cur = ggml_norm(ctx0, cur, hparams.eps);
             cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
diff --git a/tools/mtmd/models/youtuvl.cpp b/tools/mtmd/models/youtuvl.cpp
index ffbf2be5547758271c2953031ebfebc74a4b47f0..cd8f6d446f0895673255e4d21498e8610155154d 100644
--- a/tools/mtmd/models/youtuvl.cpp
+++ b/tools/mtmd/models/youtuvl.cpp
@@ -43,7 +43,7 @@ ggml_cgraph * clip_graph_youtuvl::build() {
             ctx0, inp,
             3*patch_size* patch_size,  Hm * Wm * m * m, 1);
     }
-    inp = ggml_mul_mat(ctx0, model.patch_embeddings_0, inp);
+    inp = build_mm(model.patch_embeddings_0, inp);
 
     if (model.patch_bias) {
         inp = ggml_add(ctx0, inp, model.patch_bias);
@@ -97,11 +97,11 @@ ggml_cgraph * clip_graph_youtuvl::build() {
         // self-attention
         {
             ggml_tensor * Qcur = ggml_add(ctx0,
-                ggml_mul_mat(ctx0, layer.q_w, cur), layer.q_b);
+                build_mm(layer.q_w, cur), layer.q_b);
             ggml_tensor * Kcur = ggml_add(ctx0,
-                ggml_mul_mat(ctx0, layer.k_w, cur), layer.k_b);
+                build_mm(layer.k_w, cur), layer.k_b);
             ggml_tensor * Vcur = ggml_add(ctx0,
-                ggml_mul_mat(ctx0, layer.v_w, cur), layer.v_b);
+                build_mm(layer.v_w, cur), layer.v_b);
 
             Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_patches);
             Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_patches);
diff --git a/tools/mtmd/mtmd-audio.cpp b/tools/mtmd/mtmd-audio.cpp
index 447f61aaa40b3d1126aeda4aac7d6a965f1661c3..38a8ce4f4a69d37da3fedb8c3446809c652d8e75 100644
--- a/tools/mtmd/mtmd-audio.cpp
+++ b/tools/mtmd/mtmd-audio.cpp
@@ -8,28 +8,26 @@
 #include <vector>
 #include <fstream>
 #include <algorithm>
+#include <functional>
 
 // some of the code here is copied from whisper.cpp
 
 constexpr bool DEBUG = false;
 
-void mtmd_audio_cache::fill_sin_cos_table(int n) {
+void mtmd_audio_cache::fill_sin_cos_table(uint32_t n) {
     sin_vals.resize(n);
     cos_vals.resize(n);
-    for (int i = 0; i < n; i++) {
+    for (uint32_t i = 0; i < n; i++) {
         double theta = (2 * M_PI * i) / n;
         sin_vals[i]  = sinf(theta);
         cos_vals[i]  = cosf(theta);
     }
 }
 
-void mtmd_audio_cache::fill_hann_window(int length, bool periodic) {
+void mtmd_audio_cache::fill_hann_window(uint32_t length, bool periodic) {
     hann_window.resize(length);
-    int offset = -1;
-    if (periodic) {
-        offset = 0;
-    }
-    for (int i = 0; i < length; i++) {
+    int offset = periodic ? 0 : -1;
+    for (uint32_t i = 0; i < length; i++) {
         hann_window[i] = 0.5 * (1.0 - cosf((2.0 * M_PI * i) / (length + offset)));
     }
 }
@@ -40,23 +38,36 @@ void mtmd_audio_cache::fill_mel_filterbank_matrix(int   n_mel,
                                                   float fmin,
                                                   float fmax,
                                                   bool  slaney_area_norm,
-                                                  float scale) {
+                                                  float scale,
+                                                  bool  use_htk) {
     GGML_ASSERT(n_mel > 0 && n_fft > 1);
     if (fmax <= 0.0f) {
         fmax = 0.5f * sample_rate;
     }
 
-    // Slaney scale (matches librosa default)
-    const double min_log_hz  = 1000.0;
-    const double lin_slope   = 3 / 200.;
-    const double min_log_mel = min_log_hz * lin_slope;
-    const double log_step    = log(6.4) / 27.0;
-    auto         hz_to_mel   = [min_log_hz, lin_slope, log_step, min_log_mel](const double f_hz) -> double {
-        return (f_hz < min_log_hz) ? f_hz * lin_slope : min_log_mel + log(f_hz / min_log_hz) / log_step;
-    };
-    auto mel_to_hz = [min_log_hz, lin_slope, log_step, min_log_mel](const double m) -> double {
-        return (m < min_log_mel) ? m / lin_slope : min_log_hz * exp((m - min_log_mel) * log_step);
-    };
+    std::function<double(double)> hz_to_mel;
+    std::function<double(double)> mel_to_hz;
+
+    if (use_htk) {
+        hz_to_mel = [](const double f_hz) -> double {
+            return 2595.0 * log10(1.0 + f_hz / 700.0);
+        };
+        mel_to_hz = [](const double m) -> double {
+            return 700.0 * (pow(10.0, m / 2595.0) - 1.0);
+        };
+    } else {
+        // Slaney scale (matches librosa default)
+        const double min_log_hz  = 1000.0;
+        const double lin_slope   = 3 / 200.;
+        const double min_log_mel = min_log_hz * lin_slope;
+        const double log_step    = log(6.4) / 27.0;
+        hz_to_mel = [min_log_hz, lin_slope, log_step, min_log_mel](const double f_hz) -> double {
+            return (f_hz < min_log_hz) ? f_hz * lin_slope : min_log_mel + log(f_hz / min_log_hz) / log_step;
+        };
+        mel_to_hz = [min_log_hz, lin_slope, log_step, min_log_mel](const double m) -> double {
+            return (m < min_log_mel) ? m / lin_slope : min_log_hz * exp((m - min_log_mel) * log_step);
+        };
+    }
 
     // infer N_fft from n_fft_bins
     const double bin_hz_step = double(sample_rate) / double(n_fft);
@@ -165,6 +176,7 @@ static void dft_impl(const mtmd_audio_cache & cache, const float * in, int N, fl
 //              false = input is complex-valued (interleaved real/imag, stride 2)
 template <bool Inverse, bool RealInput>
 static void fft_impl(const mtmd_audio_cache & cache, float * in, int N, float * out) {
+    GGML_ASSERT(N > 0);
     const int n_sin_cos_vals = cache.sin_vals.size();
 
     if (N == 1) {
@@ -259,10 +271,13 @@ struct filter_params {
     int32_t hann_window_size;
     int32_t hop_length;
     int32_t sample_rate;
-    bool    center_padding = false;
-    float   preemph = 0.f;
+    bool    no_padding      = false;
+    bool    center_padding  = false;
+    float   preemph         = 0.f;
     bool    use_natural_log = false;
     bool    norm_per_feature = false;
+    bool    use_magnitude   = false;  // |X| instead of |X|^2
+    float   mel_floor       = 5.960464477539063e-08f;
 };
 
 static void log_mel_spectrogram_worker_thread(int                        ith,
@@ -303,10 +318,10 @@ static void log_mel_spectrogram_worker_thread(int                        ith,
         // FFT
         fft(cache, fft_in.data(), frame_size, fft_out.data());
 
-        // Calculate modulus^2 of complex numbers
-        // Use pow(fft_out[2 * j + 0], 2) + pow(fft_out[2 * j + 1], 2) causes inference quality problem? Interesting.
+        // Calculate modulus^2 (power) or modulus (magnitude)
         for (int j = 0; j < n_fft_bins; j++) {
-            fft_out[j] = (fft_out[2 * j + 0] * fft_out[2 * j + 0] + fft_out[2 * j + 1] * fft_out[2 * j + 1]);
+            float power = (fft_out[2 * j + 0] * fft_out[2 * j + 0] + fft_out[2 * j + 1] * fft_out[2 * j + 1]);
+            fft_out[j] = params.use_magnitude ? sqrtf(power) : power;
         }
 
         // mel spectrogram
@@ -326,9 +341,10 @@ static void log_mel_spectrogram_worker_thread(int                        ith,
             for (; k < n_fft_bins; k++) {
                 sum += fft_out[k] * filters.data[j * n_fft_bins + k];
             }
+            sum = std::max(sum, (double)params.mel_floor);
             sum = params.use_natural_log
-                ? log(sum + 5.960464477539063e-08)
-                : log10(std::max(sum, 1e-10));
+                ? log(sum)
+                : log10(sum);
             out.data[j * out.n_len + i] = sum;
         }
     }
@@ -362,7 +378,12 @@ static bool log_mel_spectrogram(
 
     // Padding
     std::vector<float> samples_padded;
-    if (params.center_padding) {
+    if (params.no_padding) {
+        // no padding, use samples as-is
+        samples_padded = std::vector<float>(samples, samples + n_samples);
+        samples = samples_padded.data();
+        n_samples = samples_padded.size();
+    } else if (params.center_padding) {
         const auto pad_amount = frame_size / 2;
         samples_padded = std::vector<float>(n_samples + 2 * pad_amount, 0);
         std::copy(samples, samples + n_samples, samples_padded.data() + pad_amount);
@@ -407,6 +428,8 @@ static bool log_mel_spectrogram(
     }
 
 
+    GGML_ASSERT(params.n_fft_bins > 0);
+    GGML_ASSERT(params.hop_length > 0);
     out.n_mel = params.n_mel;
     out.n_len = (n_samples - frame_size) / frame_step + 1;
     // TODO: handle these checks better
@@ -438,6 +461,7 @@ static bool log_mel_spectrogram(
 
     const int effective_n_len = n_samples_in / frame_step;
     if (params.norm_per_feature) {
+        GGML_ASSERT(effective_n_len > 1);
         for (int i = 0; i < out.n_mel; i++) {
             double mean = 0;
             for (int j = 0; j < effective_n_len; ++j) {
@@ -463,8 +487,8 @@ static bool log_mel_spectrogram(
                 out.data[i * out.n_len + j] = 0.0;
             }
         }
-    } else {
-        // clamping and normalization
+    } else if (!params.no_padding) {
+        // Whisper-style clamping and normalization (NOT used by Gemma4)
         double mmax = -1e20;
         for (int i = 0; i < out.n_mel*out.n_len; i++) {
             if (out.data[i] > mmax) {
@@ -626,6 +650,87 @@ bool mtmd_audio_preprocessor_conformer::preprocess(const float *
     return true;
 }
 
+//
+// mtmd_audio_preprocessor_gemma4a
+//
+
+void mtmd_audio_preprocessor_gemma4a::initialize() {
+    cache.fill_sin_cos_table(hparams.audio_n_fft);
+
+    // Standard periodic Hann window, zero-padded to FFT size
+    cache.hann_window.assign(hparams.audio_n_fft, 0.0f);
+    for (uint32_t i = 0; i < (uint32_t)hparams.audio_window_len; i++) {
+        cache.hann_window[i] = 0.5f - 0.5f * cosf((2.0f * (float)M_PI * i) / hparams.audio_window_len);
+    }
+
+    // HTK mel scale, no Slaney area normalization
+    cache.fill_mel_filterbank_matrix(
+        hparams.n_mel_bins, hparams.audio_n_fft, hparams.audio_sample_rate,
+        0.0f, hparams.audio_sample_rate / 2.0f,
+        /*slaney_area_norm=*/ false,
+        /*scale=*/ 1.0f,
+        /*use_htk=*/ true
+    );
+}
+
+bool mtmd_audio_preprocessor_gemma4a::preprocess(const float *                 samples,
+                                                  size_t                        n_samples,
+                                                  std::vector<mtmd_audio_mel> & output) {
+    if (n_samples == 0) {
+        return false;
+    }
+
+    GGML_ASSERT(!cache.sin_vals.empty());
+    GGML_ASSERT(!cache.cos_vals.empty());
+    GGML_ASSERT(!cache.filters.data.empty());
+
+    filter_params params;
+    params.n_mel            = hparams.n_mel_bins;
+    params.n_fft_bins       = 1 + (hparams.audio_n_fft / 2);
+    params.hann_window_size = hparams.audio_n_fft; // window is zero-padded to FFT size
+    params.hop_length       = hparams.audio_hop_len;
+    params.sample_rate      = hparams.audio_sample_rate;
+    params.no_padding       = true;
+    params.center_padding   = false;
+    params.preemph          = 0.0f;
+    params.use_natural_log  = true;
+    params.use_magnitude    = true;
+    params.mel_floor        = 0.001f;
+    params.norm_per_feature = false;
+
+    // Split into 30-second chunks (model context limit, ~750 tokens each)
+    const size_t chunk_samples = 30 * hparams.audio_sample_rate;
+    for (size_t off = 0; off < n_samples; off += chunk_samples) {
+        const float * chunk_ptr = samples + off;
+        size_t chunk_len = std::min(chunk_samples, n_samples - off);
+
+        // Semicausal left-padding + right-padding to match PyTorch frame count
+        const int pad_left = hparams.audio_window_len / 2;
+        const int fft_size = hparams.audio_n_fft;
+        const int hop = hparams.audio_hop_len;
+        const int n_with_left = (int)chunk_len + pad_left;
+        // PyTorch: unfold(size=frame_length+1, step=hop) on semicausal-padded waveform
+        const int pt_frames = (n_with_left - (hparams.audio_window_len + 1)) / hop + 1;
+        const int n_padded_needed = (pt_frames - 1) * hop + fft_size;
+        const int total_pad = std::max((int)(n_padded_needed - (int)chunk_len), pad_left);
+        std::vector<float> padded_samples(total_pad + chunk_len, 0.0f);
+        std::copy(chunk_ptr, chunk_ptr + chunk_len, padded_samples.data() + pad_left);
+
+        mtmd_audio_mel out_chunk;
+        bool ok = log_mel_spectrogram(padded_samples.data(), padded_samples.size(), 4, params, cache, out_chunk);
+        if (!ok) {
+            return false;
+        }
+
+        // Trim to PyTorch frame count
+        out_chunk.n_len = std::min(out_chunk.n_len, pt_frames);
+
+        output.push_back(std::move(out_chunk));
+    }
+
+    return true;
+}
+
 //
 // mtmd_audio_streaming_istft implementation
 //
@@ -639,6 +744,7 @@ mtmd_audio_streaming_istft::mtmd_audio_streaming_istft(int n_fft, int hop_length
     padding_to_remove((n_fft - hop_length) / 2),
     ifft_in(n_fft * 2 * 4, 0.0f),  // extra space for recursive IFFT
     ifft_out(n_fft * 2 * 4, 0.0f) {
+    GGML_ASSERT(n_fft > 0 && hop_length > 0 && hop_length <= n_fft);
     cache.fill_sin_cos_table(n_fft);
     cache.fill_hann_window(n_fft, true);
 }
diff --git a/tools/mtmd/mtmd-audio.h b/tools/mtmd/mtmd-audio.h
index 016c7392e4fcbbff774578947c47d9f8454ddab0..efaa14f924fc79b84b8e292c5af2ad2c26062b82 100644
--- a/tools/mtmd/mtmd-audio.h
+++ b/tools/mtmd/mtmd-audio.h
@@ -33,9 +33,9 @@ struct mtmd_audio_cache {
 
     mtmd_audio_mel_filters filters;
 
-    void fill_sin_cos_table(int n);
+    void fill_sin_cos_table(uint32_t n);
 
-    void fill_hann_window(int length, bool periodic);
+    void fill_hann_window(uint32_t length, bool periodic);
 
     // Build mel filterbank matrix [n_mel × n_fft_bins] at runtime.
     // n_fft_bins must be (N_fft / 2 + 1). Example: if N_fft=512 -> n_fft_bins=257.
@@ -45,7 +45,8 @@ struct mtmd_audio_cache {
                                     float fmin             = 0.0f,   // e.g. 0.0
                                     float fmax             = -1.0f,  // e.g. sr/2; pass -1 for auto
                                     bool  slaney_area_norm = true,
-                                    float scale = 1.0f  // optional extra scaling
+                                    float scale            = 1.0f,
+                                    bool  use_htk          = false
     );
 };
 
@@ -77,6 +78,15 @@ struct mtmd_audio_preprocessor_conformer : mtmd_audio_preprocessor {
     mtmd_audio_cache cache;
 };
 
+struct mtmd_audio_preprocessor_gemma4a : mtmd_audio_preprocessor {
+    mtmd_audio_preprocessor_gemma4a(const clip_ctx * ctx) : mtmd_audio_preprocessor(ctx) {}
+    void initialize() override;
+    bool preprocess(const float * samples, size_t n_samples, std::vector<mtmd_audio_mel> & output) override;
+
+  private:
+    mtmd_audio_cache cache;
+};
+
 //
 // streaming ISTFT - converts spectrogram frames back to audio one frame at a time
 //
diff --git a/tools/mtmd/mtmd-cli.cpp b/tools/mtmd/mtmd-cli.cpp
index ba00e08534ff6df706460b71952ce555adc05cd3..dd72dfb17c857b2a5e31a7d13944bee0508d1a23 100644
--- a/tools/mtmd/mtmd-cli.cpp
+++ b/tools/mtmd/mtmd-cli.cpp
@@ -281,11 +281,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_MTMD, show_additional_info)) {
         return 1;
     }
 
-    common_init();
     mtmd_helper_log_set(common_log_default_callback, nullptr);
 
     if (params.mmproj.path.empty()) {
diff --git a/tools/mtmd/mtmd-helper.cpp b/tools/mtmd/mtmd-helper.cpp
index 5bcb7ec1bc031d53710dbfb2edce53a681844ce2..409407416371d0dc21f5778815b6b3c32af8db32 100644
--- a/tools/mtmd/mtmd-helper.cpp
+++ b/tools/mtmd/mtmd-helper.cpp
@@ -114,6 +114,13 @@ llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks) {
     return n_pos;
 }
 
+void mtmd_helper_image_get_decoder_pos(const mtmd_image_tokens * chunks, llama_pos pos_0, mtmd_decoder_pos * out_pos) {
+    size_t n_tokens = mtmd_image_tokens_get_n_tokens(chunks);
+    for (size_t i = 0; i < n_tokens; i++) {
+        out_pos[i] = mtmd_image_tokens_get_decoder_pos(chunks, pos_0, i);
+    }
+}
+
 // helper struct to make working with embd batch easier
 // note: this will be removed after llama_batch_ext refactoring
 struct decode_embd_batch {
@@ -127,6 +134,7 @@ struct decode_embd_batch {
     std::vector<int8_t>         logits;
     llama_batch batch;
     decode_embd_batch(float * embd, int32_t n_tokens, int n_pos_per_embd, int n_mmproj_embd) : n_pos_per_embd(n_pos_per_embd), n_mmproj_embd(n_mmproj_embd) {
+        GGML_ASSERT(n_tokens > 0 && n_pos_per_embd > 0 && n_mmproj_embd > 0);
         pos     .resize(n_tokens * n_pos_per_embd);
         n_seq_id.resize(n_tokens);
         seq_ids .resize(n_tokens + 1);
@@ -155,17 +163,15 @@ struct decode_embd_batch {
     }
 
     // M-RoPE for image
-    void set_position_mrope_2d(llama_pos pos_0, int nx, int ny, llama_seq_id seq_id) {
+    void set_position_mrope_2d(const std::vector<mtmd_decoder_pos> & rel_pos, llama_seq_id seq_id) {
         GGML_ASSERT(n_pos_per_embd == 4);
+        GGML_ASSERT(!rel_pos.empty() && (int32_t)rel_pos.size() == batch.n_tokens);
         seq_id_0[0] = seq_id;
-        for (int y = 0; y < ny; y++) {
-            for (int x = 0; x < nx; x++) {
-                int i = y * nx + x;
-                pos[i                     ] = pos_0;
-                pos[i + batch.n_tokens    ] = pos_0 + y;
-                pos[i + batch.n_tokens * 2] = pos_0 + x;
-                pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
-            }
+        for (int32_t i = 0; i < batch.n_tokens; i++) {
+            pos[i                     ] = rel_pos[i].t;
+            pos[i + batch.n_tokens    ] = rel_pos[i].y;
+            pos[i + batch.n_tokens * 2] = rel_pos[i].x;
+            pos[i + batch.n_tokens * 3] = rel_pos[i].z;
         }
         for (int i = 0; i < batch.n_tokens; i++) {
             batch.n_seq_id[i] = 1;
@@ -182,7 +188,7 @@ struct decode_embd_batch {
             pos[i                     ] = pos_0 + i;
             pos[i + batch.n_tokens    ] = pos_0 + i;
             pos[i + batch.n_tokens * 2] = pos_0 + i;
-            pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
+            pos[i + batch.n_tokens * 3] = pos_0 + i;
         }
         for (int i = 0; i < batch.n_tokens; i++) {
             batch.n_seq_id[i] = 1;
@@ -192,6 +198,7 @@ struct decode_embd_batch {
     }
 
     llama_batch get_view(int offset, int n_tokens) {
+        GGML_ASSERT(offset >= 0 && n_tokens > 0 && offset + n_tokens <= batch.n_tokens);
         llama_pos * pos_ptr;
         pos_view.clear();
         pos_view.reserve(n_tokens * n_pos_per_embd);
@@ -235,6 +242,7 @@ int32_t mtmd_helper_decode_image_chunk(
         llama_seq_id seq_id,
         int32_t n_batch,
         llama_pos * new_n_past) {
+    GGML_ASSERT(n_batch > 0);
     auto chunk_type = mtmd_input_chunk_get_type(chunk);
     const char * name = chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE ? "image" : "audio";
     if (chunk_type == MTMD_INPUT_CHUNK_TYPE_TEXT) {
@@ -258,9 +266,10 @@ int32_t mtmd_helper_decode_image_chunk(
                 LOG_ERR("failed to decode chunk: image tokens are null\n");
                 return -1;
             }
-            const int nx = mtmd_image_tokens_get_nx(image_tokens);
-            const int ny = mtmd_image_tokens_get_ny(image_tokens);
-            batch_embd.set_position_mrope_2d(n_past, nx, ny, seq_id);
+            const auto n_tokens = mtmd_image_tokens_get_n_tokens(image_tokens);
+            std::vector<mtmd_decoder_pos> rel_pos(n_tokens);
+            mtmd_helper_image_get_decoder_pos(image_tokens, n_past, rel_pos.data());
+            batch_embd.set_position_mrope_2d(rel_pos, seq_id);
         } else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
             batch_embd.set_position_mrope_1d(n_past, seq_id);
         } else {
@@ -270,7 +279,8 @@ int32_t mtmd_helper_decode_image_chunk(
         batch_embd.set_position_normal(n_past, seq_id);
     }
 
-    if (mtmd_decode_use_non_causal(ctx)) {
+    const bool use_non_causal = mtmd_decode_use_non_causal(ctx, chunk);
+    if (use_non_causal) {
         llama_set_causal_attn(lctx, false);
         // TODO @ngxson : need to make sure only one image is processed at a time, and n_ubatch must be enough to hold the image
     }
@@ -298,7 +308,7 @@ int32_t mtmd_helper_decode_image_chunk(
     n_past += mtmd_input_chunk_get_n_pos(chunk);
     *new_n_past = n_past;
 
-    if (mtmd_decode_use_non_causal(ctx)) {
+    if (use_non_causal) {
         llama_set_causal_attn(lctx, true);
     }
     return 0;
@@ -312,6 +322,7 @@ int32_t mtmd_helper_eval_chunk_single(mtmd_context * ctx,
         int32_t n_batch,
         bool logits_last,
         llama_pos * new_n_past) {
+    GGML_ASSERT(n_batch > 0);
     int32_t ret;
     llama_batch text_batch = llama_batch_init(n_batch, 0, 1);
     auto chunk_type = mtmd_input_chunk_get_type(chunk);
@@ -508,6 +519,11 @@ mtmd_bitmap * mtmd_helper_bitmap_init_from_file(mtmd_context * ctx, const char *
     fseek(f, 0, SEEK_END);
     long file_size = ftell(f);
     fseek(f, 0, SEEK_SET);
+    if (file_size < 0) {
+        LOG_ERR("Failed to get file size of %s\n", fname);
+        fclose(f);
+        return nullptr;
+    }
     buf.resize(file_size);
 
     size_t n_read = fread(buf.data(), 1, file_size, f);
diff --git a/tools/mtmd/mtmd-helper.h b/tools/mtmd/mtmd-helper.h
index 5036b92442a28cf5ed45f2539d926a5b3aa2d0b3..57da78a754fc7c524af8fa580fb9d7aeaa44e49c 100644
--- a/tools/mtmd/mtmd-helper.h
+++ b/tools/mtmd/mtmd-helper.h
@@ -47,6 +47,10 @@ MTMD_API size_t mtmd_helper_get_n_tokens(const mtmd_input_chunks * chunks);
 // normally, n_pos is equal to n_tokens, but for M-RoPE it is different
 MTMD_API llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks);
 
+// helper to get the list of relative positions corresponding to the embedding tokens, to be used by M-RoPE
+// out_pos must have length == mtmd_helper_get_n_tokens(image)
+MTMD_API void mtmd_helper_image_get_decoder_pos(const mtmd_image_tokens * image, llama_pos pos_0, struct mtmd_decoder_pos * out_pos);
+
 // helper function that automatically:
 // 1. run llama_decode() on text chunks
 // 2. run mtmd_encode() on image chunks, then mtmd_get_output_embd() and then llama_decode()
diff --git a/tools/mtmd/mtmd-image.cpp b/tools/mtmd/mtmd-image.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..c1a36011788ee96e36c02884b588f3664e49413a
--- /dev/null
+++ b/tools/mtmd/mtmd-image.cpp
@@ -0,0 +1,1427 @@
+#include "mtmd-image.h"
+
+#include <algorithm>
+#include <cmath>
+#include <vector>
+
+//
+// base implementation
+//
+
+void mtmd_image_preprocessor::img_u8_to_f32(const clip_image_u8 & src, clip_image_f32 & dst, const float mean[3], const float std[3]) {
+    dst.nx = src.nx;
+    dst.ny = src.ny;
+    dst.buf.resize(src.buf.size());
+
+    // TODO @ngxson : seems like this could be done more efficiently on cgraph
+    for (size_t i = 0; i < src.buf.size(); ++i) {
+        int c = i % 3; // rgb
+        dst.buf[i] = (static_cast<float>(src.buf[i]) / 255.0f - mean[c]) / std[c];
+    }
+}
+
+void mtmd_image_preprocessor::img_u8_to_f32(const clip_image_u8 & src, clip_image_f32 & dst) {
+    dst.nx = src.nx;
+    dst.ny = src.ny;
+    dst.buf.resize(src.buf.size());
+
+    for (size_t i = 0; i < src.buf.size(); ++i) {
+        dst.buf[i] = static_cast<float>(src.buf[i]);
+    }
+}
+
+// set of tools to manipulate images
+// in the future, we can have HW acceleration by allowing this struct to access 3rd party lib like imagick or opencv
+struct img_tool {
+    static void resize(
+            const clip_image_u8 & src,
+            clip_image_u8 & dst,
+            const clip_image_size & target_resolution,
+            resize_algo algo,
+            bool add_padding = true, // TODO: define the behavior for add_padding = false
+            std::array<uint8_t, 3> pad_color = {0, 0, 0}) {
+        dst.nx = target_resolution.width;
+        dst.ny = target_resolution.height;
+        dst.buf.resize(3 * dst.nx * dst.ny);
+
+        if (dst.nx == src.nx && dst.ny == src.ny) {
+            // no resize needed, simple copy
+            dst.buf = src.buf;
+            return;
+        }
+
+        if (!add_padding) {
+            // direct resize
+            switch (algo) {
+                case RESIZE_ALGO_BILINEAR:
+                    resize_bilinear(src, dst, target_resolution.width, target_resolution.height);
+                    break;
+                case RESIZE_ALGO_BICUBIC:
+                    resize_bicubic(src, dst, target_resolution.width, target_resolution.height);
+                    break;
+                case RESIZE_ALGO_BICUBIC_PILLOW:
+                    resize_bicubic_pillow(src, dst, target_resolution.width, target_resolution.height);
+                    break;
+                default:
+                    throw std::runtime_error("Unsupported resize algorithm");
+            }
+        } else {
+            // resize with padding
+            clip_image_u8 resized_image;
+            float scale_w = static_cast<float>(target_resolution.width) / src.nx;
+            float scale_h = static_cast<float>(target_resolution.height) / src.ny;
+            float scale = std::min(scale_w, scale_h);
+            int new_width  = std::min(static_cast<int>(std::ceil(src.nx * scale)), target_resolution.width);
+            int new_height = std::min(static_cast<int>(std::ceil(src.ny * scale)), target_resolution.height);
+
+            switch (algo) {
+                case RESIZE_ALGO_BILINEAR:
+                    resize_bilinear(src, resized_image, new_width, new_height);
+                    break;
+                case RESIZE_ALGO_BICUBIC:
+                    resize_bicubic(src, resized_image, new_width, new_height);
+                    break;
+                case RESIZE_ALGO_BICUBIC_PILLOW:
+                    resize_bicubic_pillow(src, resized_image, new_width, new_height);
+                    break;
+                default:
+                    throw std::runtime_error("Unsupported resize algorithm");
+            }
+
+            // fill dst with pad_color
+            fill(dst, pad_color);
+
+            int offset_x = (target_resolution.width  - new_width)  / 2;
+            int offset_y = (target_resolution.height - new_height) / 2;
+
+            composite(dst, resized_image, offset_x, offset_y);
+        }
+    }
+
+    static void crop(const clip_image_u8 & image, clip_image_u8 & dst, int x, int y, int w, int h) {
+        GGML_ASSERT(x >= 0 && y >= 0 && w > 0 && h > 0);
+        GGML_ASSERT(x + w <= image.nx && y + h <= image.ny);
+        dst.nx = w;
+        dst.ny = h;
+        dst.buf.resize(3 * w * h);
+
+        for (int i = 0; i < h; ++i) {
+            for (int j = 0; j < w; ++j) {
+                int src_idx = 3 * ((y + i)*image.nx + (x + j));
+                int dst_idx = 3 * (i*w + j);
+                dst.buf[dst_idx]     = image.buf[src_idx];
+                dst.buf[dst_idx + 1] = image.buf[src_idx + 1];
+                dst.buf[dst_idx + 2] = image.buf[src_idx + 2];
+            }
+        }
+    }
+
+    // calculate the size of the **resized** image, while preserving the aspect ratio
+    // the calculated size will be aligned to the nearest multiple of align_size
+    // if H or W size is larger than longest_edge, it will be resized to longest_edge
+    static clip_image_size calc_size_preserved_ratio(const clip_image_size & inp_size, const int align_size, const int longest_edge) {
+        GGML_ASSERT(align_size > 0);
+        if (inp_size.width <= 0 || inp_size.height <= 0 || longest_edge <= 0) {
+            return {0, 0};
+        }
+
+        float scale = std::min(static_cast<float>(longest_edge) / inp_size.width,
+                               static_cast<float>(longest_edge) / inp_size.height);
+
+        float target_width_f  = static_cast<float>(inp_size.width)  * scale;
+        float target_height_f = static_cast<float>(inp_size.height) * scale;
+
+        auto ceil_by_factor = [f = align_size](float x) { return static_cast<int>(std::ceil(x / static_cast<float>(f))) * f; };
+        int aligned_width  = ceil_by_factor(target_width_f);
+        int aligned_height = ceil_by_factor(target_height_f);
+
+        return {aligned_width, aligned_height};
+    }
+
+    // calculate the size of the **resized** image, while preserving the aspect ratio
+    // the calculated size will have min_pixels <= W*H <= max_pixels
+    // this is referred as "smart_resize" in transformers code
+    static clip_image_size calc_size_preserved_ratio(const clip_image_size & inp_size, const int align_size, const int min_pixels, const int max_pixels) {
+        GGML_ASSERT(align_size > 0);
+        const int width  = inp_size.width;
+        const int height = inp_size.height;
+
+        auto round_by_factor = [f = align_size](float x) { return static_cast<int>(std::round(x / static_cast<float>(f))) * f; };
+        auto ceil_by_factor  = [f = align_size](float x) { return static_cast<int>(std::ceil(x / static_cast<float>(f))) * f; };
+        auto floor_by_factor = [f = align_size](float x) { return static_cast<int>(std::floor(x / static_cast<float>(f))) * f; };
+
+        // always align up first
+        int h_bar = std::max(align_size, round_by_factor(height));
+        int w_bar = std::max(align_size, round_by_factor(width));
+
+        if (h_bar * w_bar > max_pixels) {
+            const auto beta = std::sqrt(static_cast<float>(height * width) / max_pixels);
+            h_bar = std::max(align_size, floor_by_factor(height / beta));
+            w_bar = std::max(align_size, floor_by_factor(width  / beta));
+        } else if (h_bar * w_bar < min_pixels) {
+            const auto beta = std::sqrt(static_cast<float>(min_pixels) / (height * width));
+            h_bar = ceil_by_factor(height * beta);
+            w_bar = ceil_by_factor(width * beta);
+        }
+
+        return {w_bar, h_bar};
+    }
+
+    // draw src image into dst image at offset (offset_x, offset_y)
+    static void composite(clip_image_u8 & dst, const clip_image_u8 & src, int offset_x, int offset_y) {
+        for (int y = 0; y < src.ny; ++y) {
+            for (int x = 0; x < src.nx; ++x) {
+                int dx = x + offset_x;
+                int dy = y + offset_y;
+                // skip pixels that would be out of bounds in the destination
+                if (dx < 0 || dy < 0 || dx >= dst.nx || dy >= dst.ny) {
+                    continue;
+                }
+                size_t dst_idx = 3 * (static_cast<size_t>(dy) * dst.nx + static_cast<size_t>(dx));
+                size_t src_idx = 3 * (static_cast<size_t>(y) * src.nx + static_cast<size_t>(x));
+                dst.buf[dst_idx + 0] = src.buf[src_idx + 0];
+                dst.buf[dst_idx + 1] = src.buf[src_idx + 1];
+                dst.buf[dst_idx + 2] = src.buf[src_idx + 2];
+            }
+        }
+    }
+
+    // fill the image with a solid color
+    static void fill(clip_image_u8 & img, const std::array<uint8_t, 3> & color) {
+        for (size_t i = 0; i < img.buf.size(); i += 3) {
+            img.buf[i]     = color[0];
+            img.buf[i + 1] = color[1];
+            img.buf[i + 2] = color[2];
+        }
+    }
+
+private:
+    // Bilinear resize function
+    static void resize_bilinear(const clip_image_u8 & src, clip_image_u8 & dst, int target_width, int target_height) {
+        if (src.nx == 0 || src.ny == 0) { dst.nx = dst.ny = 0; dst.buf.clear(); return; }
+        if (target_width  <= 0) target_width  = 1;
+        if (target_height <= 0) target_height = 1;
+
+        dst.nx = target_width;
+        dst.ny = target_height;
+        dst.buf.resize(3 * target_width * target_height);
+
+        float x_ratio = target_width  > 1 ? static_cast<float>(src.nx - 1) / (target_width  - 1) : 0.0f;
+        float y_ratio = target_height > 1 ? static_cast<float>(src.ny - 1) / (target_height - 1) : 0.0f;
+
+        for (int y = 0; y < target_height; ++y) {
+            for (int x = 0; x < target_width; ++x) {
+                float px = x * x_ratio;
+                float py = y * y_ratio;
+
+                int x0 = std::min(static_cast<int>(px), src.nx - 1);
+                int y0 = std::min(static_cast<int>(py), src.ny - 1);
+                int x1 = std::min(x0 + 1, src.nx - 1);
+                int y1 = std::min(y0 + 1, src.ny - 1);
+
+                float xf = px - x0;
+                float yf = py - y0;
+
+                for (int c = 0; c < 3; ++c) {
+                    float top    = lerp(static_cast<float>(src.buf[3 * (y0 * src.nx + x0) + c]),
+                                        static_cast<float>(src.buf[3 * (y0 * src.nx + x1) + c]),
+                                        xf);
+                    float bottom = lerp(static_cast<float>(src.buf[3 * (y1 * src.nx + x0) + c]),
+                                        static_cast<float>(src.buf[3 * (y1 * src.nx + x1) + c]),
+                                        xf);
+                    dst.buf[3 * (y * target_width + x) + c] = static_cast<uint8_t>(lerp(top, bottom, yf));
+                }
+            }
+        }
+    }
+
+    // Bicubic resize function
+    // part of image will be cropped if the aspect ratio is different
+    static bool resize_bicubic(const clip_image_u8 & img, clip_image_u8 & dst, int target_width, int target_height) {
+        const int nx = img.nx;
+        const int ny = img.ny;
+
+        dst.nx = target_width;
+        dst.ny = target_height;
+        dst.buf.resize(3 * target_width * target_height);
+
+        float Cc;
+        float C[5] = {};
+        float d0, d2, d3, a0, a1, a2, a3;
+        int i, j, k, jj;
+        int x, y;
+        float dx, dy;
+        float tx, ty;
+
+        tx = (float)nx / (float)target_width;
+        ty = (float)ny / (float)target_height;
+
+        // Bicubic interpolation; adapted from ViT.cpp, inspired from :
+        //    -> https://github.com/yglukhov/bicubic-interpolation-image-processing/blob/master/libimage.c#L36
+        //    -> https://en.wikipedia.org/wiki/Bicubic_interpolation
+
+        for (i = 0; i < target_height; i++) {
+            for (j = 0; j < target_width; j++) {
+                x = (int)(tx * j);
+                y = (int)(ty * i);
+
+                dx = tx * j - x;
+                dy = ty * i - y;
+
+                for (k = 0; k < 3; k++) {
+                    for (jj = 0; jj <= 3; jj++) {
+                        d0 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x - 1, 0, nx - 1)) * 3 + k] - img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
+                        d2 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x + 1, 0, nx - 1)) * 3 + k] - img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
+                        d3 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x + 2, 0, nx - 1)) * 3 + k] - img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
+                        a0 = img.buf[(clip(y - 1 + jj, 0, ny - 1) * nx + clip(x, 0, nx - 1)) * 3 + k];
+
+                        a1 = -1.0 / 3 * d0 + d2 - 1.0 / 6 * d3;
+                        a2 =  1.0 / 2 * d0 +      1.0 / 2 * d2;
+                        a3 = -1.0 / 6 * d0 -      1.0 / 2 * d2 + 1.0 / 6 * d3;
+
+                        C[jj] = a0 + a1 * dx + a2 * dx * dx + a3 * dx * dx * dx;
+
+                        d0 = C[0] - C[1];
+                        d2 = C[2] - C[1];
+                        d3 = C[3] - C[1];
+                        a0 = C[1];
+                        a1 = -1.0 / 3 * d0 + d2 - 1.0 / 6 * d3;
+                        a2 =  1.0 / 2 * d0 +      1.0 / 2 * d2;
+                        a3 = -1.0 / 6 * d0 -      1.0 / 2 * d2 + 1.0 / 6 * d3;
+                        Cc = a0 + a1 * dy + a2 * dy * dy + a3 * dy * dy * dy;
+
+                        const uint8_t Cc2 = std::min(std::max(std::round(Cc), 0.0f), 255.0f);
+                        dst.buf[(i * target_width + j) * 3 + k] = float(Cc2);
+                    }
+                }
+            }
+        }
+
+        return true;
+    }
+
+    // Bicubic resize function using Pillow's ImagingResample algorithm
+    // Adapted from https://github.com/python-pillow/Pillow/blob/main/src/libImaging/Resample.c
+    //
+    // Key Difference with resize_bicubic:
+    // 1. Uses separable filtering: horizontal pass followed by vertical pass
+    // 2. Pre-computes normalized filter coefficients for each output pixel
+    // 3. Applies convolution using fixed-point integer arithmetic for performance
+    static bool resize_bicubic_pillow(const clip_image_u8 & img, clip_image_u8 & dst, int target_width, int target_height) {
+        // Fixed-point precision: 22 bits = 32 (int32_t) - 8 (uint8_t pixels) - 2 (headroom for accumulation)
+        // This allows encoding fractional weights as integers: weight * 2^22
+        const int PRECISION_BITS = 32 - 8 - 2;
+
+        // Bicubic filter function with a = -0.5 (Note that GGML/PyTorch takes a = -0.75)
+        // Returns filter weight for distance x from pixel center
+        // Support: [-2, 2], meaning the filter influences pixels within 2 units of distance
+        auto bicubic_filter = [](double x) -> double {
+            constexpr double a = -0.5;
+            if (x < 0.0) {
+                x = -x;
+            }
+            if (x < 1.0) {
+                return ((a + 2.0) * x - (a + 3.0)) * x * x + 1;
+            }
+            if (x < 2.0) {
+                return (((x - 5) * x + 8) * x - 4) * a;
+            }
+            return 0.0;  // Zero outside [-2, 2]
+        };
+
+        // Filter support radius: bicubic extends 2 pixels in each direction
+        constexpr double filter_support = 2.0;
+
+        // Clipping function for 8-bit values
+        auto clip8 = [](int val) -> uint8_t {
+            if (val < 0) return 0;
+            if (val > 255) return 255;
+            return static_cast<uint8_t>(val);
+        };
+
+        // Precompute filter coefficients for ONE dimension (horizontal or vertical)
+        //
+        // Parameters:
+        //   inSize  - Number of pixels in input dimension (e.g., src_width or src_height)
+        //   outSize - Number of pixels in output dimension (e.g., target_width or target_height)
+        //   bounds  - [OUTPUT] Array of size outSize*2 storing input pixel ranges:
+        //             bounds[xx*2+0] = first input pixel index for output pixel xx (xmin)
+        //             bounds[xx*2+1] = number of input pixels for output pixel xx (xcnt)
+        //   weights - [OUTPUT] Array of size outSize*ksize storing fixed-point filter weights:
+        //             kk[xx*ksize + x] = weight for input pixel x contributing to output pixel xx
+        //
+        // Returns: kernel size (ksize) - number of input pixels that contribute to each output pixel
+        auto precompute_weights = [&](int inSize, int outSize,
+                                     std::vector<int> & bounds, std::vector<int32_t> & weights) -> int {
+            GGML_ASSERT(inSize > 0 && outSize > 0);
+            double support, scale, filterscale;
+            double center, ww, ss;
+            int xx, x, ksize, xmin, xmax, xcnt;
+
+            // Calculate scaling factor: ratio of input range to output size
+            filterscale = scale = (double)inSize / outSize;
+            // For upsampling (scale < 1), keep filterscale = 1 to maintain filter sharpness
+            // For downsampling (scale > 1), widen filter to prevent aliasing
+            if (filterscale < 1.0) {
+                filterscale = 1.0;
+            }
+
+            // Determine filter support radius and kernel size
+            support = filter_support * filterscale;  // Widen filter when downsampling
+            ksize = static_cast<int>(std::ceil(support)) * 2 + 1;  // Total pixels in kernel
+
+            std::vector<double> pre_weights(outSize * ksize);  // Temporary weights
+            bounds.resize(outSize * 2);
+
+            // For each output pixel, compute its filter coefficients
+            for (xx = 0; xx < outSize; xx++) {
+                // Calculate the center position in input space (pixel-center convention: +0.5)
+                center = (xx + 0.5) * scale;
+                ww = 0.0;  // Sum of weights for normalization
+                ss = 1.0 / filterscale;  // Scale factor for filter function
+
+                // Determine the range of input pixels that contribute to this output pixel
+                xmin = static_cast<int>(center - support + 0.5);
+                if (xmin < 0) {
+                    xmin = 0;
+                }
+
+                xmax = static_cast<int>(center + support + 0.5);
+                if (xmax > inSize) {
+                    xmax = inSize;
+                }
+
+                xcnt = xmax - xmin;
+
+                // Compute filter weights for each contributing input pixel
+                for (x = 0; x < xcnt; x++) {
+                    // Distance from input pixel center to output pixel center in input space
+                    double w = bicubic_filter((x + xmin - center + 0.5) * ss);
+                    pre_weights[xx * ksize + x] = w;
+                    ww += w;  // Accumulate for normalization
+                }
+
+                // Normalize weights to sum to 1.0 (preserves brightness)
+                for (x = 0; x < xcnt; x++) {
+                    if (ww != 0.0) {
+                        pre_weights[xx * ksize + x] /= ww;
+                    }
+                }
+
+                // Zero-pad remaining kernel positions
+                for (; x < ksize; x++) {
+                    pre_weights[xx * ksize + x] = 0;
+                }
+
+                // Store input pixel range for this output pixel
+                bounds[xx * 2 + 0] = xmin;
+                bounds[xx * 2 + 1] = xcnt;
+            }
+
+            // Convert floating-point coefficients to fixed-point integers
+            // Formula: int32 = round(float * 2^PRECISION_BITS)
+            weights.resize(outSize * ksize);
+            for (int i = 0; i < outSize * ksize; i++) {
+                if (pre_weights[i] < 0) {
+                    weights[i] = static_cast<int32_t>(-0.5 + pre_weights[i] * (1 << PRECISION_BITS));
+                } else {
+                    weights[i] = static_cast<int32_t>(0.5 + pre_weights[i] * (1 << PRECISION_BITS));
+                }
+            }
+
+            return ksize;
+        };
+
+        // Horizontal resampling pass
+        // Resizes width from imIn.nx to imOut.nx, preserving height
+        auto resample_horizontal = [&](const clip_image_u8 & imIn, clip_image_u8 & imOut,
+                                       int ksize, const std::vector<int> & bounds, const std::vector<int32_t> & weights) {
+            imOut.ny = imIn.ny;
+            imOut.buf.resize(3 * imOut.nx * imOut.ny);
+
+            // Process each row independently
+            for (int yy = 0; yy < imOut.ny; yy++) {
+                // For each output pixel in this row
+                for (int xx = 0; xx < imOut.nx; xx++) {
+                    // Get the range of input pixels and filter coefficients
+                    int xmin = bounds[xx * 2 + 0];  // First input pixel index
+                    int xcnt = bounds[xx * 2 + 1];  // Number of input pixels
+
+                    // Initialize accumulators for RGB channels with rounding bias (0.5 in fixed-point)
+                    int32_t ss0 = 1 << (PRECISION_BITS - 1);
+                    int32_t ss1 = 1 << (PRECISION_BITS - 1);
+                    int32_t ss2 = 1 << (PRECISION_BITS - 1);
+
+                    // Convolve: sum weighted input pixels
+                    for (int x = 0; x < xcnt; x++) {
+                        int src_idx = ((yy * imIn.nx) + (x + xmin)) * 3;
+                        ss0 += static_cast<uint8_t>(imIn.buf[src_idx + 0]) * weights[xx * ksize + x];  // R channel
+                        ss1 += static_cast<uint8_t>(imIn.buf[src_idx + 1]) * weights[xx * ksize + x];  // G channel
+                        ss2 += static_cast<uint8_t>(imIn.buf[src_idx + 2]) * weights[xx * ksize + x];  // B channel
+                    }
+
+                    // Convert back from fixed-point (divide by 2^PRECISION_BITS) and clamp to [0,255]
+                    int dst_idx = (yy * imOut.nx + xx) * 3;
+                    imOut.buf[dst_idx + 0] = clip8(ss0 >> PRECISION_BITS);
+                    imOut.buf[dst_idx + 1] = clip8(ss1 >> PRECISION_BITS);
+                    imOut.buf[dst_idx + 2] = clip8(ss2 >> PRECISION_BITS);
+                }
+            }
+        };
+
+        // Vertical resampling pass
+        // Resizes height from imIn.ny to imOut.ny, preserving width
+        auto resample_vertical = [&](const clip_image_u8 & imIn, clip_image_u8 & imOut,
+                                     int ksize, const std::vector<int> & bounds, const std::vector<int32_t> & weight) {
+            imOut.nx = imIn.nx;
+            imOut.buf.resize(3 * imOut.nx * imOut.ny);
+
+            // For each output row
+            for (int yy = 0; yy < imOut.ny; yy++) {
+                // Get the range of input rows and filter coefficients
+                int ymin = bounds[yy * 2 + 0];  // First input row index
+                int ycnt = bounds[yy * 2 + 1];  // Number of input rows
+
+                // Process each column in this output row
+                for (int xx = 0; xx < imOut.nx; xx++) {
+                    // Initialize accumulators for RGB channels with rounding bias
+                    int32_t ss0 = 1 << (PRECISION_BITS - 1);
+                    int32_t ss1 = 1 << (PRECISION_BITS - 1);
+                    int32_t ss2 = 1 << (PRECISION_BITS - 1);
+
+                    // Convolve: sum weighted input pixels vertically
+                    for (int y = 0; y < ycnt; y++) {
+                        int src_idx = ((y + ymin) * imIn.nx + xx) * 3;
+                        ss0 += static_cast<uint8_t>(imIn.buf[src_idx + 0]) * weight[yy * ksize + y];  // R channel
+                        ss1 += static_cast<uint8_t>(imIn.buf[src_idx + 1]) * weight[yy * ksize + y];  // G channel
+                        ss2 += static_cast<uint8_t>(imIn.buf[src_idx + 2]) * weight[yy * ksize + y];  // B channel
+                    }
+
+                    // Convert back from fixed-point and clamp to [0,255]
+                    int dst_idx = (yy * imOut.nx + xx) * 3;
+                    imOut.buf[dst_idx + 0] = clip8(ss0 >> PRECISION_BITS);
+                    imOut.buf[dst_idx + 1] = clip8(ss1 >> PRECISION_BITS);
+                    imOut.buf[dst_idx + 2] = clip8(ss2 >> PRECISION_BITS);
+                }
+            }
+        };
+
+        // Main resampling logic using separable two-pass approach
+        const int src_width = img.nx;
+        const int src_height = img.ny;
+
+        dst.nx = target_width;
+        dst.ny = target_height;
+
+        bool need_horizontal = (target_width != src_width);
+        bool need_vertical = (target_height != src_height);
+
+        // Precompute filter coefficients for both dimensions
+        std::vector<int> bounds_horiz, bounds_vert;
+        std::vector<int32_t> weights_horiz, weights_vert;
+        int ksize_horiz = 0, ksize_vert = 0;
+
+        if (need_horizontal) {
+            ksize_horiz = precompute_weights(src_width, target_width, bounds_horiz, weights_horiz);
+        }
+
+        if (need_vertical) {
+            ksize_vert = precompute_weights(src_height, target_height, bounds_vert, weights_vert);
+        }
+
+        // Perform two-pass resampling
+        if (need_horizontal && need_vertical) {
+            // Both horizontal and vertical
+            clip_image_u8 temp;
+            temp.nx = target_width;
+            resample_horizontal(img, temp, ksize_horiz, bounds_horiz, weights_horiz);
+            resample_vertical(temp, dst, ksize_vert, bounds_vert, weights_vert);
+        } else if (need_horizontal) {
+            // Only horizontal
+            resample_horizontal(img, dst, ksize_horiz, bounds_horiz, weights_horiz);
+        } else if (need_vertical) {
+            // Only vertical
+            resample_vertical(img, dst, ksize_vert, bounds_vert, weights_vert);
+        } else {
+            // No resizing needed - direct copy
+            dst.buf = img.buf;
+        }
+
+        return true;
+    }
+
+    static inline int clip(int x, int lower, int upper) {
+        return std::max(lower, std::min(x, upper));
+    }
+
+    // Linear interpolation between two points
+    static inline float lerp(float s, float e, float t) {
+        return s + (e - s) * t;
+    }
+};
+
+
+//
+// mtmd_image_preprocessor_llava_uhd
+//
+
+bool mtmd_image_preprocessor_llava_uhd::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    const clip_image_size original_size{img.nx, img.ny};
+    auto const inst = get_slice_instructions(original_size);
+    std::vector<clip_image_u8_ptr> imgs = slice_image(img, inst);
+
+    for (size_t i = 0; i < imgs.size(); ++i) {
+        // clip_image_save_to_bmp(*imgs[i], "slice_" + std::to_string(i) + ".bmp");
+        clip_image_f32_ptr res(clip_image_f32_init());
+        img_u8_to_f32(*imgs[i], *res, hparams.image_mean, hparams.image_std);
+        output.entries.push_back(std::move(res));
+    }
+
+    output.grid_x = inst.grid_size.width;
+    output.grid_y = inst.grid_size.height;
+    return true;
+}
+
+mtmd_image_preprocessor_llava_uhd::slice_instructions mtmd_image_preprocessor_llava_uhd::get_slice_instructions(const clip_image_size & original_size) {
+    mtmd_image_preprocessor_llava_uhd::slice_instructions res;
+    const int patch_size      = hparams.patch_size;
+    const int slice_size      = hparams.image_size;
+    const int original_width  = original_size.width;
+    const int original_height = original_size.height;
+
+    const bool has_slices    = original_size.width > slice_size || original_size.height > slice_size;
+    const bool has_pinpoints = !hparams.image_res_candidates.empty();
+
+    if (!has_slices) {
+        // skip slicing logic
+        res.overview_size = clip_image_size{slice_size, slice_size};
+        res.refined_size  = clip_image_size{0, 0};
+        res.grid_size     = clip_image_size{0, 0};
+
+        return res;
+    }
+
+    if (has_pinpoints) {
+        // has pinpoints, use them to calculate the grid size (e.g. llava-1.6)
+        auto refine_size = select_best_resolution(
+            original_size,
+            hparams.image_res_candidates);
+        res.overview_size         = clip_image_size{slice_size, slice_size};
+        res.refined_size          = refine_size;
+        res.grid_size             = clip_image_size{0, 0};
+
+        LOG_DBG("%s: using pinpoints for slicing\n", __func__);
+        LOG_DBG("%s: original size: %d x %d, overview size: %d x %d, refined size: %d x %d\n",
+                __func__, original_width, original_height,
+                res.overview_size.width, res.overview_size.height,
+                res.refined_size.width,  res.refined_size.height);
+
+        for (int y = 0; y < refine_size.height; y += slice_size) {
+            for (int x = 0; x < refine_size.width; x += slice_size) {
+                slice_coordinates slice;
+                slice.x = x;
+                slice.y = y;
+                slice.size.width  = std::min(slice_size, refine_size.width  - x);
+                slice.size.height = std::min(slice_size, refine_size.height - y);
+                res.slices.push_back(slice);
+                LOG_DBG("%s: slice %d: x=%d, y=%d, size=%dx%d\n",
+                        __func__, (int)res.slices.size() - 1,
+                        slice.x, slice.y, slice.size.width, slice.size.height);
+            }
+        }
+
+        res.grid_size.height = refine_size.height / slice_size;
+        res.grid_size.width  = refine_size.width  / slice_size;
+        LOG_DBG("%s: grid size: %d x %d\n", __func__, res.grid_size.width, res.grid_size.height);
+
+        return res;
+    }
+
+    // no pinpoints, dynamically calculate the grid size (e.g. minicpmv)
+
+    auto best_size    = get_best_resize(original_size, slice_size, patch_size, !has_slices);
+    res.overview_size = best_size;
+
+    {
+        const int max_slice_nums = 9; // TODO: this is only used by minicpmv, maybe remove it
+        const float log_ratio = log((float)original_width / original_height);
+        const float ratio = (float)original_width * original_height / (slice_size * slice_size);
+        const int multiple = fmin(ceil(ratio), max_slice_nums);
+
+        auto best_grid   = get_best_grid(max_slice_nums, multiple, log_ratio);
+        auto refine_size = get_refine_size(original_size, best_grid, slice_size, patch_size, true);
+        res.grid_size    = best_grid;
+        res.refined_size = refine_size;
+
+        LOG_DBG("%s: original size: %d x %d, overview size: %d x %d, refined size: %d x %d, grid size: %d x %d\n",
+                __func__, original_width, original_height,
+                res.overview_size.width, res.overview_size.height,
+                res.refined_size.width, res.refined_size.height,
+                res.grid_size.width, res.grid_size.height);
+
+        int width  = refine_size.width;
+        int height = refine_size.height;
+        int grid_x = int(width  / best_grid.width);
+        int grid_y = int(height / best_grid.height);
+        for (int patches_y = 0,                    ic = 0;
+                patches_y < refine_size.height && ic < best_grid.height;
+                patches_y += grid_y,              ic += 1) {
+            for (int patches_x = 0,                   jc = 0;
+                    patches_x < refine_size.width && jc < best_grid.width;
+                    patches_x += grid_x,             jc += 1) {
+                slice_coordinates slice;
+                slice.x = patches_x;
+                slice.y = patches_y;
+                slice.size.width  = grid_x;
+                slice.size.height = grid_y;
+                res.slices.push_back(slice);
+                LOG_DBG("%s: slice %d: x=%d, y=%d, size=%dx%d\n",
+                        __func__, (int)res.slices.size() - 1,
+                        slice.x, slice.y, slice.size.width, slice.size.height);
+            }
+        }
+    }
+
+    return res;
+}
+
+std::vector<clip_image_u8_ptr> mtmd_image_preprocessor_llava_uhd::slice_image(const clip_image_u8 & img, const mtmd_image_preprocessor_llava_uhd::slice_instructions & inst, bool overview_first) {
+    std::vector<clip_image_u8_ptr> output;
+
+    // resize to overview size
+    clip_image_u8_ptr resized_img(clip_image_u8_init());
+    img_tool::resize(img, *resized_img, inst.overview_size, hparams.image_resize_algo_ov,
+                        hparams.image_pad_ov, hparams.image_pad_color_ov);
+    if (overview_first) {
+        output.push_back(std::move(resized_img));
+    }
+
+    if (inst.slices.empty()) {
+        // no slices, just return the resized image
+        if (!overview_first) {
+            output.push_back(std::move(resized_img));
+        }
+        return output;
+    }
+
+    // resize to refined size
+    clip_image_u8_ptr refined_img(clip_image_u8_init());
+    img_tool::resize(img, *refined_img, inst.refined_size, hparams.image_resize_algo_rf,
+                        hparams.image_pad_rf, hparams.image_pad_color_rf);
+
+    // create slices
+    for (const auto & slice : inst.slices) {
+        int x = slice.x;
+        int y = slice.y;
+        int w = slice.size.width;
+        int h = slice.size.height;
+
+        clip_image_u8_ptr img_slice(clip_image_u8_init());
+        img_tool::crop(*refined_img, *img_slice, x, y, w, h);
+        output.push_back(std::move(img_slice));
+    }
+
+    if (!overview_first) {
+        output.push_back(std::move(resized_img));
+    }
+
+    return output;
+}
+
+clip_image_size mtmd_image_preprocessor_llava_uhd::get_best_resize(const clip_image_size & original_size, int scale_resolution, int patch_size, bool allow_upscale) {
+    int width  = original_size.width;
+    int height = original_size.height;
+    if ((width * height > scale_resolution * scale_resolution) || allow_upscale) {
+        float r = static_cast<float>(width) / height;
+        height  = static_cast<int>(scale_resolution / std::sqrt(r));
+        width   = static_cast<int>(height * r);
+    }
+    clip_image_size res;
+    res.width  = ensure_divide(width,  patch_size);
+    res.height = ensure_divide(height, patch_size);
+    return res;
+}
+
+clip_image_size mtmd_image_preprocessor_llava_uhd::resize_maintain_aspect_ratio(const clip_image_size & orig, const clip_image_size & target_max) {
+    float scale_width  = static_cast<float>(target_max.width)  / orig.width;
+    float scale_height = static_cast<float>(target_max.height) / orig.height;
+    float scale = std::min(scale_width, scale_height);
+    return clip_image_size{
+        static_cast<int>(orig.width  * scale),
+        static_cast<int>(orig.height * scale),
+    };
+}
+
+clip_image_size mtmd_image_preprocessor_llava_uhd::select_best_resolution(const clip_image_size & original_size, const std::vector<clip_image_size> & possible_resolutions) {
+    clip_image_size best_fit;
+    int min_wasted_area = std::numeric_limits<int>::max();
+    int max_effective_resolution = 0;
+
+    for (const clip_image_size & candidate : possible_resolutions) {
+        auto target_size = resize_maintain_aspect_ratio(original_size, candidate);
+        int effective_resolution = std::min(
+            target_size.width * target_size.height,
+            original_size.width * original_size.height);
+        int wasted_area = (candidate.width * candidate.height) - effective_resolution;
+
+        if (effective_resolution > max_effective_resolution || (effective_resolution == max_effective_resolution && wasted_area < min_wasted_area)) {
+            max_effective_resolution = effective_resolution;
+            min_wasted_area = wasted_area;
+            best_fit = candidate;
+        }
+
+        LOG_DBG("%s: candidate: %d x %d, target: %d x %d, wasted: %d, effective: %d\n", __func__, candidate.width, candidate.height, target_size.width, target_size.height, wasted_area, effective_resolution);
+    }
+
+    return best_fit;
+}
+
+int mtmd_image_preprocessor_llava_uhd::ensure_divide(int length, int patch_size) {
+    return std::max(static_cast<int>(std::round(static_cast<float>(length) / patch_size) * patch_size), patch_size);
+}
+
+clip_image_size mtmd_image_preprocessor_llava_uhd::get_refine_size(const clip_image_size & original_size, const clip_image_size & grid, int scale_resolution, int patch_size, bool allow_upscale) {
+    int width  = original_size.width;
+    int height = original_size.height;
+    int grid_x = grid.width;
+    int grid_y = grid.height;
+
+    int refine_width  = ensure_divide(width, grid_x);
+    int refine_height = ensure_divide(height, grid_y);
+
+    clip_image_size grid_size;
+    grid_size.width  = refine_width  / grid_x;
+    grid_size.height = refine_height / grid_y;
+
+    auto best_grid_size  = get_best_resize(grid_size, scale_resolution, patch_size, allow_upscale);
+    int best_grid_width  = best_grid_size.width;
+    int best_grid_height = best_grid_size.height;
+
+    clip_image_size refine_size;
+    refine_size.width  = best_grid_width  * grid_x;
+    refine_size.height = best_grid_height * grid_y;
+    return refine_size;
+}
+
+clip_image_size mtmd_image_preprocessor_llava_uhd::get_best_grid(const int max_slice_nums, const int multiple, const float log_ratio) {
+    std::vector<int> candidate_split_grids_nums;
+    for (int i : {multiple - 1, multiple, multiple + 1}) {
+        if (i == 1 || i > max_slice_nums) {
+            continue;
+        }
+        candidate_split_grids_nums.push_back(i);
+    }
+
+    std::vector<clip_image_size> candidate_grids;
+    for (int split_grids_nums : candidate_split_grids_nums) {
+        int m = 1;
+        while (m <= split_grids_nums) {
+            if (split_grids_nums % m == 0) {
+                candidate_grids.push_back(clip_image_size{m, split_grids_nums / m});
+            }
+            ++m;
+        }
+    }
+
+    clip_image_size best_grid{1, 1};
+    float min_error = std::numeric_limits<float>::infinity();
+    for (const auto& grid : candidate_grids) {
+        float error = std::abs(log_ratio - std::log(1.0 * grid.width / grid.height));
+        if (error < min_error) {
+            best_grid = grid;
+            min_error = error;
+        }
+    }
+    return best_grid;
+}
+
+//
+// mtmd_image_preprocessor_fixed_size
+//
+
+bool mtmd_image_preprocessor_fixed_size::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    clip_image_u8 resized_image;
+    int sz = hparams.image_size;
+    img_tool::resize(img, resized_image, {sz, sz},
+                        hparams.image_resize_algo,
+                        hparams.image_resize_pad,
+                        hparams.image_pad_color);
+    clip_image_f32_ptr img_f32(clip_image_f32_init());
+    img_u8_to_f32(resized_image, *img_f32, hparams.image_mean, hparams.image_std);
+    output.entries.push_back(std::move(img_f32));
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_dyn_size
+//
+
+bool mtmd_image_preprocessor_dyn_size::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    GGML_ASSERT(hparams.image_min_pixels > 0 && hparams.image_max_pixels > 0);
+    clip_image_u8 resized_image;
+    const clip_image_size original_size{img.nx, img.ny};
+    // the original pixtral model doesn't have n_merge
+    const int cur_merge = hparams.n_merge == 0 ? 1 : hparams.n_merge;
+    const clip_image_size target_size = img_tool::calc_size_preserved_ratio(
+        original_size,
+        hparams.patch_size * cur_merge,
+        hparams.image_min_pixels,
+        hparams.image_max_pixels);
+    img_tool::resize(img, resized_image, target_size,
+                        hparams.image_resize_algo,
+                        hparams.image_resize_pad,
+                        hparams.image_pad_color);
+    clip_image_f32_ptr img_f32(clip_image_f32_init());
+    img_u8_to_f32(resized_image, *img_f32, hparams.image_mean, hparams.image_std);
+    output.entries.push_back(std::move(img_f32));
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_longest_edge
+//
+
+bool mtmd_image_preprocessor_longest_edge::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    GGML_ASSERT(hparams.image_longest_edge > 0);
+    clip_image_u8 resized_image;
+    const clip_image_size original_size{img.nx, img.ny};
+    // the original pixtral model doesn't have n_merge
+    const int cur_merge = hparams.n_merge == 0 ? 1 : hparams.n_merge;
+    const clip_image_size target_size = img_tool::calc_size_preserved_ratio(
+        original_size,
+        hparams.patch_size * cur_merge,
+        hparams.image_longest_edge);
+    img_tool::resize(img, resized_image, target_size,
+                        hparams.image_resize_algo,
+                        hparams.image_resize_pad,
+                        hparams.image_pad_color);
+    clip_image_f32_ptr img_f32(clip_image_f32_init());
+    img_u8_to_f32(resized_image, *img_f32, hparams.image_mean, hparams.image_std);
+    output.entries.push_back(std::move(img_f32));
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_lfm2
+//
+
+mtmd_image_preprocessor_llava_uhd::slice_instructions mtmd_image_preprocessor_lfm2::get_slice_instructions(const clip_image_size & original_size) {
+    mtmd_image_preprocessor_llava_uhd::slice_instructions inst;
+    const int align_size = hparams.patch_size * hparams.n_merge;
+    inst.overview_size = img_tool::calc_size_preserved_ratio(
+                            original_size, align_size,
+                            hparams.image_min_pixels, hparams.image_max_pixels);
+    // tile if either dimension exceeds tile_size with tolerance
+    const bool needs_tiling = original_size.width > tile_size * max_pixels_tolerance || original_size.height > tile_size * max_pixels_tolerance;
+
+    if (!needs_tiling) {
+        inst.refined_size = clip_image_size{0, 0};
+        inst.grid_size    = clip_image_size{0, 0};
+        return inst;
+    }
+
+    const clip_image_size grid = get_grid_layout(original_size.height, original_size.width);
+
+    inst.grid_size    = grid;
+    inst.refined_size = clip_image_size{tile_size * grid.width, tile_size * grid.height};
+
+    LOG_DBG("%s: original size: %d x %d, overview size: %d x %d, refined size: %d x %d, grid size: %d x %d\n",
+            __func__,
+            original_size.width, original_size.height,
+            inst.overview_size.width, inst.overview_size.height,
+            inst.refined_size.width, inst.refined_size.height,
+            grid.width, grid.height);
+
+    for (int row = 0; row < grid.height; row++) {
+        for (int col = 0; col < grid.width; col++) {
+            mtmd_image_preprocessor_llava_uhd::slice_coordinates slice;
+            slice.x    = col * tile_size;
+            slice.y    = row * tile_size;
+            slice.size = clip_image_size{tile_size, tile_size};
+            inst.slices.push_back(slice);
+            LOG_DBG("%s: slice %d: x=%d, y=%d, size=%d x %d\n",
+                    __func__, (int)inst.slices.size() - 1,
+                    slice.x, slice.y, slice.size.width, slice.size.height);
+        }
+    }
+
+    return inst;
+}
+
+clip_image_size mtmd_image_preprocessor_lfm2::find_closest_aspect_ratio(
+        float aspect_ratio,
+        const std::vector<clip_image_size> & target_ratios,
+        int width, int height) {
+    float best_ratio_diff = std::numeric_limits<float>::max();
+    clip_image_size best_ratio = {1, 1};
+    const float area = static_cast<float>(width * height);
+
+    for (const auto & ratio : target_ratios) {
+        const float target_aspect_ratio = static_cast<float>(ratio.width) / ratio.height;
+        const float ratio_diff = std::abs(aspect_ratio - target_aspect_ratio);
+        if (ratio_diff < best_ratio_diff) {
+            best_ratio_diff = ratio_diff;
+            best_ratio = ratio;
+        } else if (ratio_diff == best_ratio_diff) {
+            const float target_area = static_cast<float>(tile_size * tile_size * ratio.width * ratio.height);
+            if (area > 0.5f * target_area) {
+                best_ratio = ratio;
+            }
+        }
+    }
+    return best_ratio;
+}
+
+std::vector<clip_image_size> mtmd_image_preprocessor_lfm2::get_target_ratios() {
+    std::vector<clip_image_size> ratios;
+    for (int n = min_tiles; n <= max_tiles; n++) {
+        for (int w = 1; w <= n; w++) {
+            for (int h = 1; h <= n; h++) {
+                if (w * h >= min_tiles && w * h <= max_tiles) {
+                    bool found = false;
+                    for (const auto & r : ratios) {
+                        if (r.width == w && r.height == h) {
+                            found = true;
+                            break;
+                        }
+                    }
+                    if (!found) {
+                        ratios.push_back({w, h});
+                    }
+                }
+            }
+        }
+    }
+    std::sort(ratios.begin(), ratios.end(), [](const clip_image_size & a, const clip_image_size & b) {
+        return a.width * a.height < b.width * b.height;
+    });
+    return ratios;
+}
+
+clip_image_size mtmd_image_preprocessor_lfm2::get_grid_layout(int height, int width) {
+    const float aspect_ratio = static_cast<float>(width) / height;
+    const auto ratios = get_target_ratios();
+    return find_closest_aspect_ratio(aspect_ratio, ratios, width, height);
+}
+
+//
+// mtmd_image_preprocessor_idefics3
+//
+
+bool mtmd_image_preprocessor_idefics3::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    // The refined size has two steps:
+    // 1. Resize w/ aspect-ratio preserving such that the longer side is
+    //      the preprocessor longest size
+    // 2. Resize w/out preserving aspect ratio such that both sides are
+    //      multiples of image_size (always rounding up)
+    //
+    // CITE: https://github.com/huggingface/transformers/blob/main/src/transformers/models/idefics3/image_processing_idefics3.py#L737
+    const clip_image_size original_size{img.nx, img.ny};
+    const clip_image_size refined_size = img_tool::calc_size_preserved_ratio(
+        original_size, hparams.image_size, hparams.image_longest_edge);
+    // LOG_INF("%s: original size: %d x %d, refined size: %d x %d\n",
+    //         __func__, original_size.width, original_size.height,
+    //         refined_size.width, refined_size.height);
+
+    mtmd_image_preprocessor_llava_uhd::slice_instructions instructions;
+    instructions.overview_size = clip_image_size{hparams.image_size, hparams.image_size};
+    instructions.refined_size = refined_size;
+    instructions.grid_size = clip_image_size{
+        static_cast<int>(std::ceil(static_cast<float>(refined_size.width) / hparams.image_size)),
+        static_cast<int>(std::ceil(static_cast<float>(refined_size.height) / hparams.image_size)),
+    };
+    for (int y = 0; y < refined_size.height; y += hparams.image_size) {
+        for (int x = 0; x < refined_size.width; x += hparams.image_size) {
+            // LOG_INF("%s: adding slice at x=%d, y=%d\n", __func__, x, y);
+            instructions.slices.push_back(mtmd_image_preprocessor_llava_uhd::slice_coordinates{
+                /* x    */x,
+                /* y    */y,
+                /* size */clip_image_size{
+                    std::min(hparams.image_size, refined_size.width - x),
+                    std::min(hparams.image_size, refined_size.height - y)
+                }
+            });
+        }
+    }
+    auto imgs = slice_image(img, instructions);
+
+    // cast and normalize to f32
+    for (size_t i = 0; i < imgs.size(); ++i) {
+        // clip_image_save_to_bmp(*imgs[i], "slice_" + std::to_string(i) + ".bmp");
+        clip_image_f32_ptr res(clip_image_f32_init());
+        img_u8_to_f32(*imgs[i], *res, hparams.image_mean, hparams.image_std);
+        output.entries.push_back(std::move(res));
+    }
+
+    output.grid_x = instructions.grid_size.width;
+    output.grid_y = instructions.grid_size.height;
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_internvl
+//
+
+bool mtmd_image_preprocessor_internvl::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    GGML_ASSERT(!hparams.image_res_candidates.empty());
+    const clip_image_size original_size{img.nx, img.ny};
+    auto const inst = get_slice_instructions(original_size);
+    std::vector<clip_image_u8_ptr> imgs = slice_image(img, inst, false);
+
+    for (size_t i = 0; i < imgs.size(); ++i) {
+        clip_image_f32_ptr res(clip_image_f32_init());
+        img_u8_to_f32(*imgs[i], *res, hparams.image_mean, hparams.image_std);
+        output.entries.push_back(std::move(res));
+    }
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_deepseekocr
+//
+
+bool mtmd_image_preprocessor_deepseekocr::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    const std::vector native_resolutions = {
+        /*512 tiny , 640 small, */ 1024 /* base */, 1280 /* large */
+    };
+    // original image size
+    const clip_image_size original_size{img.nx, img.ny};
+    const int orig_w = original_size.width;
+    const int orig_h = original_size.height;
+    const int orig_area = orig_h * orig_w;
+
+    size_t mode_i = 0;
+    int min_diff = orig_area;
+
+    for (size_t i = 0; i < native_resolutions.size(); i++) {
+        int r = native_resolutions[i];
+        if (std::abs(orig_area - r * r) < min_diff) {
+            mode_i = i;
+            min_diff = std::abs(orig_area - r * r);
+        }
+    }
+
+    /* Native Resolution (Base/Large) */
+    const int image_size = native_resolutions[mode_i];
+
+    // scaled and padded image
+    clip_image_u8_ptr scaled_img(clip_image_u8_init());
+    img_tool::resize(img, *scaled_img, clip_image_size{image_size, image_size}, hparams.image_resize_algo);
+
+    clip_image_f32_ptr res(clip_image_f32_init());
+    img_u8_to_f32(*scaled_img, *res, hparams.image_mean, hparams.image_std);
+    output.entries.push_back(std::move(res));
+
+    output.grid_x = 1;
+    output.grid_y = 1;
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_step3vl
+//
+
+void mtmd_image_preprocessor_step3vl::img_u8_resize_bilinear_to_f32(
+        const clip_image_u8 & src,
+        clip_image_f32 & dst,
+        int target_width,
+        int target_height,
+        const float mean[3],
+        const float std[3]) {
+    if (src.nx == target_width && src.ny == target_height) {
+        img_u8_to_f32(src, dst, mean, std);
+        return;
+    }
+
+    dst.nx = target_width;
+    dst.ny = target_height;
+    dst.buf.resize(3 * target_width * target_height);
+
+    const float scale_x = static_cast<float>(src.nx) / target_width;
+    const float scale_y = static_cast<float>(src.ny) / target_height;
+
+    for (int y = 0; y < target_height; ++y) {
+        const float src_y = (static_cast<float>(y) + 0.5f) * scale_y - 0.5f;
+        const int y0_floor = static_cast<int>(std::floor(src_y));
+        const int y0 = std::max(0, std::min(y0_floor, src.ny - 1));
+        const int y1 = std::max(0, std::min(y0_floor + 1, src.ny - 1));
+        const float ly = src_y - y0_floor;
+
+        for (int x = 0; x < target_width; ++x) {
+            const float src_x = (static_cast<float>(x) + 0.5f) * scale_x - 0.5f;
+            const int x0_floor = static_cast<int>(std::floor(src_x));
+            const int x0 = std::max(0, std::min(x0_floor, src.nx - 1));
+            const int x1 = std::max(0, std::min(x0_floor + 1, src.nx - 1));
+            const float lx = src_x - x0_floor;
+
+            const size_t idx00 = 3 * (y0 * src.nx + x0);
+            const size_t idx01 = 3 * (y0 * src.nx + x1);
+            const size_t idx10 = 3 * (y1 * src.nx + x0);
+            const size_t idx11 = 3 * (y1 * src.nx + x1);
+            const size_t idx_dst = 3 * (y * target_width + x);
+
+            for (int c = 0; c < 3; ++c) {
+                const float v00 = (static_cast<float>(src.buf[idx00 + c]) / 255.0f - mean[c]) / std[c];
+                const float v01 = (static_cast<float>(src.buf[idx01 + c]) / 255.0f - mean[c]) / std[c];
+                const float v10 = (static_cast<float>(src.buf[idx10 + c]) / 255.0f - mean[c]) / std[c];
+                const float v11 = (static_cast<float>(src.buf[idx11 + c]) / 255.0f - mean[c]) / std[c];
+
+                const float top = v00 + (v01 - v00) * lx;
+                const float bot = v10 + (v11 - v10) * lx;
+                dst.buf[idx_dst + c] = top + (bot - top) * ly;
+            }
+        }
+    }
+}
+
+int mtmd_image_preprocessor_step3vl::get_image_longest_edge(const clip_hparams & params) {
+    return params.image_longest_edge > 0 ? params.image_longest_edge : default_image_longest_edge;
+}
+
+int mtmd_image_preprocessor_step3vl::determine_window_size(const clip_hparams & params, int longer, int shorter) {
+    const int image_size = params.image_size;
+    const int crop_size  = default_image_crop_size;
+    const float aspect_ratio = static_cast<float>(longer) / shorter;
+
+    if (longer <= image_size) {
+        return aspect_ratio > small_aspect_ratio_limit ? shorter : 0;
+    }
+
+    return aspect_ratio > wide_aspect_ratio_limit ? std::min(shorter, crop_size) : crop_size;
+}
+
+int mtmd_image_preprocessor_step3vl::calc_crop_extent(int length, int window_size) {
+    const float ratio = static_cast<float>(length) / window_size;
+    if (ratio < 1.0f) {
+        return length;
+    }
+
+    const float decimal = ratio - std::floor(ratio);
+    const int rounded = decimal > crop_rounding_threshold
+        ? static_cast<int>(std::floor(ratio)) + 1
+        : static_cast<int>(std::floor(ratio));
+    return window_size * rounded;
+}
+
+std::vector<int> mtmd_image_preprocessor_step3vl::calc_grid(int length, int window_size) {
+    const int n = length <= window_size
+        ? 1
+        : static_cast<int>(std::ceil(static_cast<float>(length - window_size) / window_size + 1.0f));
+    std::vector<int> starts(n);
+
+    for (int i = 0; i < n; ++i) {
+        starts[i] = window_size * i;
+    }
+
+    if (n > 1 && starts.back() + window_size > length) {
+        starts.back() = length - window_size;
+    }
+
+    return starts;
+}
+
+clip_image_u8 mtmd_image_preprocessor_step3vl::prepare_image(const clip_image_u8 & img, const clip_hparams & params) {
+    clip_image_u8 resized = img;
+    const float aspect_ratio = img.ny > 0 ? static_cast<float>(img.nx) / img.ny : 1.0f;
+    if (std::min(img.nx, img.ny) < 32 &&
+        (aspect_ratio > wide_aspect_ratio_limit ||
+         aspect_ratio < 1.0f / wide_aspect_ratio_limit)) {
+        const int square_size = std::max(img.nx, img.ny);
+        clip_image_u8 padded;
+        padded.nx = square_size;
+        padded.ny = square_size;
+        padded.buf.resize(3 * square_size * square_size);
+        img_tool::fill(padded, {0, 0, 0});
+        img_tool::composite(padded, img, 0, 0);
+        resized = std::move(padded);
+    }
+
+    const int max_image_size = get_image_longest_edge(params);
+    if (std::max(resized.nx, resized.ny) > max_image_size) {
+        const float scale = static_cast<float>(max_image_size) / std::max(resized.nx, resized.ny);
+        const clip_image_size new_size = {
+            std::max(1, static_cast<int>(std::floor(resized.nx * scale))),
+            std::max(1, static_cast<int>(std::floor(resized.ny * scale))),
+        };
+        clip_image_u8 scaled;
+        img_tool::resize(resized, scaled, new_size, RESIZE_ALGO_BILINEAR, false);
+        resized = std::move(scaled);
+    }
+
+    return resized;
+}
+
+clip_image_u8 mtmd_image_preprocessor_step3vl::crop_with_black_padding(const clip_image_u8 & image, int x, int y, int w, int h) {
+    clip_image_u8 dst;
+    dst.nx = w;
+    dst.ny = h;
+    dst.buf.resize(3 * w * h, 0);
+
+    const int src_x0 = std::max(0, x);
+    const int src_y0 = std::max(0, y);
+    const int src_x1 = std::min(image.nx, x + w);
+    const int src_y1 = std::min(image.ny, y + h);
+
+    if (src_x0 >= src_x1 || src_y0 >= src_y1) {
+        return dst;
+    }
+
+    const int dst_x0 = src_x0 - x;
+    const int dst_y0 = src_y0 - y;
+
+    for (int yy = 0; yy < src_y1 - src_y0; ++yy) {
+        for (int xx = 0; xx < src_x1 - src_x0; ++xx) {
+            const int src_idx = 3 * ((src_y0 + yy) * image.nx + (src_x0 + xx));
+            const int dst_idx = 3 * ((dst_y0 + yy) * w + (dst_x0 + xx));
+            dst.buf[dst_idx + 0] = image.buf[src_idx + 0];
+            dst.buf[dst_idx + 1] = image.buf[src_idx + 1];
+            dst.buf[dst_idx + 2] = image.buf[src_idx + 2];
+        }
+    }
+
+    return dst;
+}
+
+mtmd_image_preprocessor_step3vl::slice_instructions mtmd_image_preprocessor_step3vl::build_slice_instructions(
+        const clip_hparams & params,
+        const clip_image_size & prepared_size) {
+    slice_instructions instructions;
+    instructions.overview_size = prepared_size;
+
+    const int window_size = determine_window_size(
+        params,
+        std::max(prepared_size.width, prepared_size.height),
+        std::min(prepared_size.width, prepared_size.height));
+    if (window_size <= 0) {
+        instructions.refined_size = clip_image_size{0, 0};
+        instructions.grid_size    = clip_image_size{0, 0};
+        return instructions;
+    }
+
+    const int crop_width  = calc_crop_extent(prepared_size.width,  window_size);
+    const int crop_height = calc_crop_extent(prepared_size.height, window_size);
+    instructions.refined_size = clip_image_size{crop_width, crop_height};
+
+    const auto xs = calc_grid(crop_width,  window_size);
+    const auto ys = calc_grid(crop_height, window_size);
+    instructions.grid_size = clip_image_size{
+        static_cast<int>(xs.size()),
+        static_cast<int>(ys.size()),
+    };
+
+    for (int y : ys) {
+        for (int x : xs) {
+            instructions.slices.push_back(slice_coordinates{
+                /* x    */ x,
+                /* y    */ y,
+                /* size */ clip_image_size{window_size, window_size},
+            });
+        }
+    }
+
+    return instructions;
+}
+
+bool mtmd_image_preprocessor_step3vl::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    clip_image_u8 prepared = prepare_image(img, hparams);
+    const auto instructions = build_slice_instructions(hparams, {prepared.nx, prepared.ny});
+
+    clip_image_f32_ptr overview_f32(clip_image_f32_init());
+    img_u8_resize_bilinear_to_f32(
+        prepared,
+        *overview_f32,
+        hparams.image_size,
+        hparams.image_size,
+        hparams.image_mean,
+        hparams.image_std);
+    output.entries.push_back(std::move(overview_f32));
+
+    if (instructions.slices.empty()) {
+        output.grid_x = 0;
+        output.grid_y = 0;
+        return true;
+    }
+
+    clip_image_u8 img_for_crop = prepared;
+    if (instructions.refined_size.width != prepared.nx || instructions.refined_size.height != prepared.ny) {
+        clip_image_u8 refined;
+        img_tool::resize(prepared, refined, instructions.refined_size, RESIZE_ALGO_BILINEAR, false);
+        img_for_crop = std::move(refined);
+    }
+
+    const int crop_size = default_image_crop_size;
+    for (const auto & slice : instructions.slices) {
+        // If the requested patch extends past the source image, pad the out-of-bounds area with black.
+        clip_image_u8 patch = crop_with_black_padding(img_for_crop, slice.x, slice.y, slice.size.width, slice.size.height);
+
+        clip_image_f32_ptr patch_f32(clip_image_f32_init());
+        img_u8_resize_bilinear_to_f32(
+            patch,
+            *patch_f32,
+            crop_size,
+            crop_size,
+            hparams.image_mean,
+            hparams.image_std);
+        output.entries.push_back(std::move(patch_f32));
+    }
+
+    output.grid_x = instructions.grid_size.width;
+    output.grid_y = instructions.grid_size.height;
+
+    return true;
+}
+
+//
+// mtmd_image_preprocessor_youtuvl
+//
+
+bool mtmd_image_preprocessor_youtuvl::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    const int patch_size = hparams.patch_size;   // typically 16
+    const int merge_size = hparams.n_merge;      // typically 2
+    const int align_size = patch_size * merge_size;  // 32
+
+    const int max_num_patches = hparams.image_max_pixels > 0 ?
+        hparams.image_max_pixels / (patch_size * patch_size) : 256;
+
+    // Linear search for optimal scale to fit within max_num_patches
+    float scale = 1.0f;
+    int target_height = img.ny;
+    int target_width  = img.nx;
+
+    auto get_scaled_image_size = [align_size](float scale, int size) -> int {
+        float scaled_size = size * scale;
+        // Round up to nearest multiple of align_size
+        int aligned = static_cast<int>(std::ceil(scaled_size / align_size)) * align_size;
+        // Ensure at least one patch
+        return std::max(align_size, aligned);
+    };
+
+    // Linear search with 0.02 step size
+    while (scale > 0.0f) {
+        target_height = get_scaled_image_size(scale, img.ny);
+        target_width  = get_scaled_image_size(scale, img.nx);
+
+        int num_patches_h = target_height / patch_size;
+        int num_patches_w = target_width / patch_size;
+        int num_patches = num_patches_h * num_patches_w;
+
+        if (num_patches > max_num_patches) {
+            scale -= 0.02f;
+        } else {
+            break;
+        }
+    }
+
+    clip_image_size new_size = {target_width, target_height};
+
+    // Resize the image
+    clip_image_u8 resized;
+    img_tool::resize(img, resized, new_size, hparams.image_resize_algo, hparams.image_resize_pad);
+
+    // Normalize to float32
+    clip_image_f32_ptr img_f32(clip_image_f32_init());
+    img_u8_to_f32(resized, *img_f32, hparams.image_mean, hparams.image_std);
+    // Add to results
+    output.entries.push_back(std::move(img_f32));
+    return true;
+}
diff --git a/tools/mtmd/mtmd-image.h b/tools/mtmd/mtmd-image.h
new file mode 100644
index 0000000000000000000000000000000000000000..08129a08ed550e4a6a1975059c019481f71e33e2
--- /dev/null
+++ b/tools/mtmd/mtmd-image.h
@@ -0,0 +1,179 @@
+#pragma once
+
+#include "ggml.h"
+#include "clip-model.h"
+
+#include <vector>
+#include <string>
+
+#define MTMD_INTERNAL_HEADER
+
+// base class, models must inherit from this class
+struct mtmd_image_preprocessor {
+    const clip_hparams & hparams;
+
+    mtmd_image_preprocessor(const clip_ctx * ctx): hparams(*clip_get_hparams(ctx)) {}
+
+    virtual ~mtmd_image_preprocessor() = default;
+    virtual bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) = 0;
+
+    void img_u8_to_f32(const clip_image_u8 & src, clip_image_f32 & dst, const float mean[3], const float std[3]);
+    void img_u8_to_f32(const clip_image_u8 & src, clip_image_f32 & dst);
+};
+
+/**
+ * implementation of LLaVA-UHD:
+ *  - https://arxiv.org/pdf/2403.11703
+ *  - https://github.com/thunlp/LLaVA-UHD
+ *  - https://github.com/thunlp/LLaVA-UHD/blob/302301bc2175f7e717fb8548516188e89f649753/llava_uhd/train/llava-uhd/slice_logic.py#L118
+ *
+ * overview:
+ *   - an image always have a single overview (downscaled image)
+ *   - an image can have 0 or multiple slices, depending on the image size
+ *   - each slice can then be considered as a separate image
+ *
+ * note: the term "slice" and "tile" are used interchangeably
+ *
+ * for example:
+ *
+ * [overview] --> [slice 1] --> [slice 2]
+ *           |                |
+ *           +--> [slice 3] --> [slice 4]
+ */
+struct mtmd_image_preprocessor_llava_uhd : mtmd_image_preprocessor {
+    mtmd_image_preprocessor_llava_uhd(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+
+    struct slice_coordinates {
+        int x;
+        int y;
+        clip_image_size size;
+    };
+
+    struct slice_instructions {
+        clip_image_size overview_size; // size of downscaled image
+        clip_image_size refined_size;  // size of image right before slicing (must be multiple of slice size)
+        clip_image_size grid_size;     // grid_size.width * grid_size.height = number of slices
+        std::vector<slice_coordinates> slices;
+    };
+
+    // LFM2 override this function to implement its custom slicing logic
+    virtual slice_instructions get_slice_instructions(const clip_image_size & original_size);
+
+    std::vector<clip_image_u8_ptr> slice_image(const clip_image_u8 & img, const slice_instructions & inst, bool overview_first = true);
+
+private:
+    clip_image_size get_best_resize(const clip_image_size & original_size, int scale_resolution, int patch_size, bool allow_upscale = false);
+
+    clip_image_size resize_maintain_aspect_ratio(const clip_image_size & orig, const clip_image_size & target_max);
+
+    /**
+     * Selects the best resolution from a list of possible resolutions based on the original size.
+     *
+     * For example, when given a list of resolutions:
+     *  - 100x100
+     *  - 200x100
+     *  - 100x200
+     *  - 200x200
+     *
+     * And an input image of size 111x200, then 100x200 is the best fit (least wasted resolution).
+     *
+     * @param original_size The original size of the image
+     * @param possible_resolutions A list of possible resolutions
+     * @return The best fit resolution
+     */
+    clip_image_size select_best_resolution(const clip_image_size & original_size, const std::vector<clip_image_size> & possible_resolutions);
+    int ensure_divide(int length, int patch_size);
+    clip_image_size get_refine_size(const clip_image_size & original_size, const clip_image_size & grid, int scale_resolution, int patch_size, bool allow_upscale = false);
+    clip_image_size get_best_grid(const int max_slice_nums, const int multiple, const float log_ratio);
+};
+
+// downscale or upscale the input image to fixed size
+struct mtmd_image_preprocessor_fixed_size : mtmd_image_preprocessor {
+    mtmd_image_preprocessor_fixed_size(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
+
+// resize image to multiple of patch_size*n_merge, while preserving aspect ratio
+// if image_resize_pad is true, the resized image will be padded, otherwise it will be either stretched or center-cropped depending on image_resize_pad
+// this is used by models with native support for dynamic image size, for example: Qwen-VL, Pixtral, Kimi-VL, etc
+struct mtmd_image_preprocessor_dyn_size : mtmd_image_preprocessor {
+    mtmd_image_preprocessor_dyn_size(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
+
+// similar to mtmd_image_preprocessor_dyn_size, but resize the image to have longest edge equal to hparams.image_longest_edge, while preserving aspect ratio
+struct mtmd_image_preprocessor_longest_edge : mtmd_image_preprocessor {
+    mtmd_image_preprocessor_longest_edge(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
+
+// custom llava-uhd slicing logic for LFM2
+// ref: https://github.com/huggingface/transformers/blob/v5.1.0/src/transformers/models/lfm2_vl/image_processing_lfm2_vl_fast.py
+struct mtmd_image_preprocessor_lfm2 : mtmd_image_preprocessor_llava_uhd {
+    // ref: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B/blob/main/processor_config.json
+    static constexpr int   min_tiles            = 2;
+    static constexpr int   max_tiles            = 10;
+    static constexpr float max_pixels_tolerance = 2.0f;
+    static constexpr int   tile_size            = 512;
+
+    using mtmd_image_preprocessor_llava_uhd::mtmd_image_preprocessor_llava_uhd;
+    slice_instructions get_slice_instructions(const clip_image_size & original_size) override;
+
+private:
+    clip_image_size find_closest_aspect_ratio(
+            float aspect_ratio,
+            const std::vector<clip_image_size> & target_ratios,
+            int width, int height);
+    std::vector<clip_image_size> get_target_ratios();
+    clip_image_size get_grid_layout(int height, int width);
+};
+
+struct mtmd_image_preprocessor_idefics3 : mtmd_image_preprocessor_llava_uhd {
+    mtmd_image_preprocessor_idefics3(const clip_ctx * ctx) : mtmd_image_preprocessor_llava_uhd(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
+
+struct mtmd_image_preprocessor_internvl : mtmd_image_preprocessor_llava_uhd {
+    mtmd_image_preprocessor_internvl(const clip_ctx * ctx) : mtmd_image_preprocessor_llava_uhd(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
+
+struct mtmd_image_preprocessor_deepseekocr : mtmd_image_preprocessor {
+    mtmd_image_preprocessor_deepseekocr(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
+
+// custom image preprocessing for Step3VL
+// ref: https://huggingface.co/stepfun-ai/Step3-VL-10B/blob/main/processing_step3.py
+struct mtmd_image_preprocessor_step3vl : mtmd_image_preprocessor_llava_uhd {
+    mtmd_image_preprocessor_step3vl(const clip_ctx * ctx) : mtmd_image_preprocessor_llava_uhd(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+    static slice_instructions build_slice_instructions(const clip_hparams & params, const clip_image_size & prepared_size);
+
+private:
+    static constexpr int   default_image_longest_edge = 3024;
+    static constexpr int   default_image_crop_size    = 504;
+    static constexpr float small_aspect_ratio_limit   = 1.5f;
+    static constexpr float wide_aspect_ratio_limit    = 4.0f;
+    static constexpr float crop_rounding_threshold    = 0.2f;
+
+    void img_u8_resize_bilinear_to_f32(
+            const clip_image_u8 & src,
+            clip_image_f32 & dst,
+            int target_width,
+            int target_height,
+            const float mean[3],
+            const float std[3]);
+    static int get_image_longest_edge(const clip_hparams & params);
+    static int determine_window_size(const clip_hparams & params, int longer, int shorter);
+    static int calc_crop_extent(int length, int window_size);
+    static std::vector<int> calc_grid(int length, int window_size);
+    static clip_image_u8 prepare_image(const clip_image_u8 & img, const clip_hparams & params);
+    static clip_image_u8 crop_with_black_padding(const clip_image_u8 & image, int x, int y, int w, int h);
+};
+
+struct mtmd_image_preprocessor_youtuvl : mtmd_image_preprocessor {
+    mtmd_image_preprocessor_youtuvl(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+};
diff --git a/tools/mtmd/mtmd.cpp b/tools/mtmd/mtmd.cpp
index f66c07345ed3dc424069dca612aaa7abcf4092c3..854ac81e0a550b270a68f7bfaae6815a313c294b 100644
--- a/tools/mtmd/mtmd.cpp
+++ b/tools/mtmd/mtmd.cpp
@@ -2,6 +2,7 @@
 #include "clip-impl.h"
 #include "mtmd.h"
 #include "mtmd-audio.h"
+#include "mtmd-image.h"
 #include "debug/mtmd-debug.h"
 
 #include "llama.h"
@@ -32,10 +33,16 @@ struct mtmd_bitmap {
     bool is_audio = false; // true if the bitmap is audio
 };
 
+// position indexing for decoder model
+enum mtmd_pos_type {
+    MTMD_POS_TYPE_NORMAL, // number of positions equals to number of tokens
+    MTMD_POS_TYPE_MROPE, // qwen-vl mrope style, each image takes max(t,h,w) position indexes
+};
+
 struct mtmd_image_tokens {
     uint32_t nx; // number of tokens in x direction
     uint32_t ny; // number of tokens in y direction
-    bool use_mrope_pos = false; // use M-RoPE position counting (the whole image is 1 temporal position)
+    mtmd_pos_type pos = MTMD_POS_TYPE_NORMAL;
     uint32_t n_tokens() const { return nx * ny; }
     clip_image_f32_batch batch_f32; // preprocessed image patches
     std::string id; // optional user-defined ID, useful for KV cache tracking
@@ -44,7 +51,7 @@ struct mtmd_image_tokens {
         return mtmd_image_tokens{
             nx,
             ny,
-            use_mrope_pos,
+            pos,
             batch_f32.clone(),
             id
         };
@@ -87,6 +94,7 @@ enum mtmd_slice_tmpl {
     MTMD_SLICE_TMPL_LLAMA4,
     MTMD_SLICE_TMPL_IDEFICS3,
     MTMD_SLICE_TMPL_LFM2,
+    MTMD_SLICE_TMPL_STEP3VL,
 };
 
 const char * mtmd_default_marker() {
@@ -107,7 +115,7 @@ mtmd_context_params mtmd_context_params_default() {
         /* use_gpu           */ true,
         /* print_timings     */ true,
         /* n_threads         */ 4,
-        /* image_marker      */ MTMD_DEFAULT_IMAGE_MARKER,
+        /* image_marker      */ nullptr,
         /* media_marker      */ mtmd_default_marker(),
         /* flash_attn_type   */ LLAMA_FLASH_ATTN_TYPE_AUTO,
         /* warmup            */ true,
@@ -129,6 +137,7 @@ struct mtmd_context {
     int n_threads;
     std::string media_marker;
     const int n_embd_text;
+    mtmd_pos_type pos_type;
 
     // these are not token, but strings used to mark the beginning and end of image/audio embeddings
     std::string img_beg;
@@ -138,7 +147,7 @@ struct mtmd_context {
 
     // for llava-uhd style models, we need special tokens in-between slices
     // minicpmv calls them "slices", llama 4 calls them "tiles"
-    mtmd_slice_tmpl slice_tmpl    = MTMD_SLICE_TMPL_NONE;
+    mtmd_slice_tmpl slice_tmpl = MTMD_SLICE_TMPL_NONE;
     std::vector<llama_token> tok_ov_img_start;  // overview image
     std::vector<llama_token> tok_ov_img_end;    // overview image
     std::vector<llama_token> tok_slices_start;  // start of all slices
@@ -147,13 +156,14 @@ struct mtmd_context {
     std::vector<llama_token> tok_sli_img_end;   // single slice end
     std::vector<llama_token> tok_sli_img_mid;   // between 2 slices
     std::vector<llama_token> tok_row_end;       // end of row
-    bool        tok_row_end_trail = false;
-    bool        ov_img_first      = false;
+    bool tok_row_end_trail = false;
+    bool ov_img_first      = false;
 
     // string template for slice image delimiters with row/col (idefics3)
     std::string sli_img_start_tmpl;
 
     std::unique_ptr<mtmd_audio_preprocessor> audio_preproc;
+    std::unique_ptr<mtmd_image_preprocessor> image_preproc;
 
     // TODO @ngxson : add timings
 
@@ -166,7 +176,7 @@ struct mtmd_context {
         media_marker (ctx_params.media_marker),
         n_embd_text  (llama_model_n_embd_inp(text_model))
     {
-        if (std::string(ctx_params.image_marker) != MTMD_DEFAULT_IMAGE_MARKER) {
+        if (ctx_params.image_marker != nullptr) {
             throw std::runtime_error("custom image_marker is not supported anymore, use media_marker instead");
         }
 
@@ -174,6 +184,22 @@ struct mtmd_context {
             throw std::runtime_error("media_marker must not be empty");
         }
 
+        auto decoder_rope_type = llama_model_rope_type(text_model);
+        switch (decoder_rope_type) {
+            case LLAMA_ROPE_TYPE_NORM:
+            case LLAMA_ROPE_TYPE_NEOX:
+                {
+                    pos_type = MTMD_POS_TYPE_NORMAL;
+                } break;
+            case LLAMA_ROPE_TYPE_MROPE:
+            case LLAMA_ROPE_TYPE_IMROPE:
+                {
+                    pos_type = MTMD_POS_TYPE_MROPE;
+                } break;
+            default:
+                throw std::runtime_error(string_format("unsupported decoder rope type: %d\n", decoder_rope_type));
+        }
+
         clip_context_params ctx_clip_params {
             /* use_gpu           */ ctx_params.use_gpu,
             /* flash_attn_type   */ mtmd_get_clip_flash_attn_type(ctx_params.flash_attn_type),
@@ -221,123 +247,229 @@ struct mtmd_context {
 
     void init_vision() {
         GGML_ASSERT(ctx_v != nullptr);
+        image_preproc.reset();
 
         projector_type proj = clip_get_projector_type(ctx_v);
-        int minicpmv_version = clip_is_minicpmv(ctx_v);
-        if (minicpmv_version == 2) {
-            // minicpmv 2.5 format:
-            // <image> (overview) </image><slice><image> (slice) </image><image> (slice) </image>\n ... </slice>
-            slice_tmpl        = MTMD_SLICE_TMPL_MINICPMV_2_5;
-            tok_ov_img_start  = {lookup_token("<image>")};
-            tok_ov_img_end    = {lookup_token("</image>")};
-            tok_slices_start  = {lookup_token("<slice>")};
-            tok_slices_end    = {lookup_token("</slice>")};
-            tok_sli_img_start = tok_ov_img_start;
-            tok_sli_img_end   = tok_ov_img_end;
-            tok_row_end       = {lookup_token("\n")};
-            tok_row_end_trail = false; // no trailing end-of-row token
-            ov_img_first      = true;
-
-        } else if (minicpmv_version == 3 || minicpmv_version == 4 || minicpmv_version == 5 || minicpmv_version == 6 || minicpmv_version == 100045) {
-            // minicpmv 2.6 format:
-            // <image> (overview) </image><slice> (slice) </slice><slice> (slice) </slice>\n ...
-            slice_tmpl        = MTMD_SLICE_TMPL_MINICPMV_2_6;
-            tok_ov_img_start  = {lookup_token("<image>")};
-            tok_ov_img_end    = {lookup_token("</image>")};
-            tok_sli_img_start = {lookup_token("<slice>")};
-            tok_sli_img_end   = {lookup_token("</slice>")};
-            tok_row_end       = {lookup_token("\n")};
-            tok_row_end_trail = false; // no trailing end-of-row token
-            ov_img_first      = true;
-
-        } else if (minicpmv_version != 0) {
-            GGML_ASSERT(false && "unsupported minicpmv version");
-        } else if (proj == PROJECTOR_TYPE_LLAMA4) {
-            // llama 4 format:
-            // <|image_start|>
-            //     (slice) <|tile_x_separator|> (slice) <|tile_x_separator|> ... <|tile_y_separator|>
-            //     (slice) <|tile_x_separator|> (slice) <|tile_x_separator|> ... <|tile_y_separator|>
-            //     ... <|tile_y_separator|>   <-- trailing end-of-row token
-            // <|image|> (overview)           <-- overview image is last
-            // <|image_end|>
-            slice_tmpl        = MTMD_SLICE_TMPL_LLAMA4;
-            tok_ov_img_start  = {lookup_token("<|image|>")};
-            tok_sli_img_mid   = {lookup_token("<|tile_x_separator|>")};
-            tok_row_end       = {lookup_token("<|tile_y_separator|>")};
-            tok_row_end_trail = true; // add trailing end-of-row token
-            ov_img_first      = false; // overview image is last
-        }
 
-        // set boi/eoi
-        if (proj == PROJECTOR_TYPE_GEMMA3 || proj == PROJECTOR_TYPE_GEMMA3NV) {
-            // <start_of_image> ... (image embeddings) ... <end_of_image>
-            img_beg = "<start_of_image>";
-            img_end = "<end_of_image>";
-
-        } else if (proj == PROJECTOR_TYPE_IDEFICS3) {
-            // https://github.com/huggingface/transformers/blob/a42ba80fa520c784c8f11a973ca9034e5f859b79/src/transformers/models/idefics3/processing_idefics3.py#L192-L215
-            slice_tmpl         = MTMD_SLICE_TMPL_IDEFICS3;
-            tok_ov_img_start   = {lookup_token("\n\n"), lookup_token("<fake_token_around_image>"), lookup_token("<global-img>")};
-            tok_ov_img_end     = {lookup_token("<fake_token_around_image>")};
-            tok_row_end        = {lookup_token("\n")};
-            sli_img_start_tmpl = "<fake_token_around_image><row_%d_col_%d>";
-
-        } else if (proj == PROJECTOR_TYPE_PIXTRAL) {
-            // https://github.com/huggingface/transformers/blob/1cd110c6cb6a6237614130c470e9a902dbc1a4bd/docs/source/en/model_doc/pixtral.md
-            img_end = "[IMG_END]";
-
-        } else if (proj == PROJECTOR_TYPE_QWEN2VL || proj == PROJECTOR_TYPE_QWEN25VL || proj == PROJECTOR_TYPE_QWEN3VL || proj == PROJECTOR_TYPE_YOUTUVL) {
-            // <|vision_start|> ... (image embeddings) ... <|vision_end|>
-            img_beg = "<|vision_start|>";
-            img_end = "<|vision_end|>";
-
-        } else if (proj == PROJECTOR_TYPE_PHI4) {
-            // Phi-4 uses media marker insertion only. Keep image boundary text empty.
-
-        } else if (proj == PROJECTOR_TYPE_LLAMA4) {
-            // (more details in mtmd_context constructor)
-            img_beg = "<|image_start|>";
-            img_end = "<|image_end|>";
-            LOG_WRN("%s: llama 4 vision is known to have degraded quality:\n"
-                    "    https://github.com/ggml-org/llama.cpp/pull/13282\n", __func__);
-
-        } else if (proj == PROJECTOR_TYPE_INTERNVL) {
-            // <img> ... (image embeddings) ... </img>
-            img_beg = "<img>";
-            img_end = "</img>";
-
-        } else if (proj == PROJECTOR_TYPE_LIGHTONOCR) {
-            // <|im_start|> ... (image embeddings) ... <|im_end|>
-            img_beg = "<|im_start|>";
-            img_end = "<|im_end|>";
-
-        } else if (proj == PROJECTOR_TYPE_LFM2) {
-            // multi-tile:
-            //   <|image_start|>
-            //     <|img_row_1_col_1|> (tile) <|img_row_1_col_2|> (tile) ...
-            //     <|img_thumbnail|> (thumbnail)
-            //   <|image_end|>
-            // single-tile:
-            //   <|image_start|> (image) <|image_end|>
-            img_beg            = "<|image_start|>";
-            img_end            = "<|image_end|>";
-            slice_tmpl         = MTMD_SLICE_TMPL_LFM2;
-            sli_img_start_tmpl = "<|img_row_%d_col_%d|>";
-            tok_ov_img_start   = {lookup_token("<|img_thumbnail|>")};
-            ov_img_first       = false;
-        } else if (proj == PROJECTOR_TYPE_GLM4V) {
-            img_beg = "<|begin_of_image|>";
-            img_end = "<|end_of_image|>";
-
-        } else if (proj == PROJECTOR_TYPE_PADDLEOCR) {
-            // <|IMAGE_START|> ... (image embeddings) ... <|IMAGE_END|>
-            img_beg = "<|IMAGE_START|>";
-            img_end = "<|IMAGE_END|>";
+        switch (proj) {
+            case PROJECTOR_TYPE_MLP:
+            case PROJECTOR_TYPE_MLP_NORM:
+            case PROJECTOR_TYPE_LDP:
+            case PROJECTOR_TYPE_LDPV2:
+            case PROJECTOR_TYPE_COGVLM:
+            case PROJECTOR_TYPE_JANUS_PRO:
+            case PROJECTOR_TYPE_GLM_EDGE:
+                {
+                    bool has_pinpoints = !clip_get_hparams(ctx_v)->image_res_candidates.empty();
+                    if (has_pinpoints) {
+                        image_preproc = std::make_unique<mtmd_image_preprocessor_llava_uhd>(ctx_v);
+                    } else {
+                        image_preproc = std::make_unique<mtmd_image_preprocessor_fixed_size>(ctx_v);
+                    }
+                } break;
+            case PROJECTOR_TYPE_MINICPMV:
+                {
+                    int minicpmv_version = clip_is_minicpmv(ctx_v);
+                    if (minicpmv_version == 2) {
+                        // minicpmv 2.5 format:
+                        // <image> (overview) </image><slice><image> (slice) </image><image> (slice) </image>\n ... </slice>
+                        slice_tmpl        = MTMD_SLICE_TMPL_MINICPMV_2_5;
+                        tok_ov_img_start  = {lookup_token("<image>")};
+                        tok_ov_img_end    = {lookup_token("</image>")};
+                        tok_slices_start  = {lookup_token("<slice>")};
+                        tok_slices_end    = {lookup_token("</slice>")};
+                        tok_sli_img_start = tok_ov_img_start;
+                        tok_sli_img_end   = tok_ov_img_end;
+                        tok_row_end       = {lookup_token("\n")};
+                        tok_row_end_trail = false; // no trailing end-of-row token
+                        ov_img_first      = true;
+                    } else if (minicpmv_version == 3 || minicpmv_version == 4 || minicpmv_version == 5 || minicpmv_version == 6 || minicpmv_version == 100045) {
+                        // minicpmv 2.6 format:
+                        // <image> (overview) </image><slice> (slice) </slice><slice> (slice) </slice>\n ...
+                        slice_tmpl        = MTMD_SLICE_TMPL_MINICPMV_2_6;
+                        tok_ov_img_start  = {lookup_token("<image>")};
+                        tok_ov_img_end    = {lookup_token("</image>")};
+                        tok_sli_img_start = {lookup_token("<slice>")};
+                        tok_sli_img_end   = {lookup_token("</slice>")};
+                        tok_row_end       = {lookup_token("\n")};
+                        tok_row_end_trail = false; // no trailing end-of-row token
+                        ov_img_first      = true;
+
+                    } else if (minicpmv_version != 0) {
+                        throw std::runtime_error(string_format("unsupported minicpmv version: %d\n", minicpmv_version));
+                    }
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_llava_uhd>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_QWEN2VL:
+            case PROJECTOR_TYPE_QWEN25VL:
+            case PROJECTOR_TYPE_QWEN3VL:
+                {
+                    // <|vision_start|> ... (image embeddings) ... <|vision_end|>
+                    img_beg = "<|vision_start|>";
+                    img_end = "<|vision_end|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_YOUTUVL:
+                {
+                    // <|vision_start|> ... (image embeddings) ... <|vision_end|>
+                    img_beg = "<|vision_start|>";
+                    img_end = "<|vision_end|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_youtuvl>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_GEMMA3:
+            case PROJECTOR_TYPE_GEMMA3NV:
+                {
+                    // <start_of_image> ... (image embeddings) ... <end_of_image>
+                    img_beg = "<start_of_image>";
+                    img_end = "<end_of_image>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_fixed_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_IDEFICS3:
+                {
+                    // https://github.com/huggingface/transformers/blob/a42ba80fa520c784c8f11a973ca9034e5f859b79/src/transformers/models/idefics3/processing_idefics3.py#L192-L215
+                    slice_tmpl         = MTMD_SLICE_TMPL_IDEFICS3;
+                    tok_ov_img_start   = {lookup_token("\n\n"), lookup_token("<fake_token_around_image>"), lookup_token("<global-img>")};
+                    tok_ov_img_end     = {lookup_token("<fake_token_around_image>")};
+                    tok_row_end        = {lookup_token("\n")};
+                    sli_img_start_tmpl = "<fake_token_around_image><row_%d_col_%d>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_idefics3>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_PIXTRAL:
+                {
+                    // https://github.com/huggingface/transformers/blob/1cd110c6cb6a6237614130c470e9a902dbc1a4bd/docs/source/en/model_doc/pixtral.md
+                    img_end = "[IMG_END]";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_PHI4:
+                {
+                    // Phi-4 uses media marker insertion only. Keep image boundary text empty.
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_LLAMA4:
+                {
+                    // (more details in mtmd_context constructor)
+                    img_beg = "<|image_start|>";
+                    img_end = "<|image_end|>";
+                    LOG_WRN("%s: llama 4 vision is known to have degraded quality:\n"
+                            "    https://github.com/ggml-org/llama.cpp/pull/13282\n", __func__);
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_llava_uhd>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_STEP3VL:
+                {
+                    // Step3 format:
+                    //   <patch_start> (patch) <patch_end> [<patch_newline>]
+                    //   ... (all patch rows)
+                    //   <im_start> (overview) <im_end>
+                    slice_tmpl        = MTMD_SLICE_TMPL_STEP3VL;
+                    tok_ov_img_start  = {lookup_token("<im_start>")};
+                    tok_ov_img_end    = {lookup_token("<im_end>")};
+                    tok_sli_img_start = {lookup_token("<patch_start>")};
+                    tok_sli_img_end   = {lookup_token("<patch_end>")};
+                    tok_row_end       = {lookup_token("<patch_newline>")};
+                    tok_row_end_trail = false;
+                    ov_img_first      = false; // patches first, overview last
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_step3vl>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_INTERNVL:
+                {
+                    // <img> ... (image embeddings) ... </img>
+                    img_beg = "<img>";
+                    img_end = "</img>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_internvl>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_KIMIVL:
+                {
+                    // <|media_start|> ... (image embeddings) ... <|media_end|>
+                    img_beg = "<|media_start|>";
+                    img_end = "<|media_end|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_KIMIK25:
+                {
+                    // <|media_begin|> ... (image embeddings) ... <|media_end|>
+                    img_beg = "<|media_begin|>";
+                    img_end = "<|media_end|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_LIGHTONOCR:
+                {
+                    // <|im_start|> ... (image embeddings) ... <|im_end|>
+                    img_beg = "<|im_start|>";
+                    img_end = "<|im_end|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_longest_edge>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_DOTS_OCR:
+                {
+                    // <|img|> ... (image embeddings) ... <|endofimg|>
+                    img_beg = "<|img|>";
+                    img_end = "<|endofimg|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_NEMOTRON_V2_VL:
+                {
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_fixed_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_LFM2:
+                {
+                    // multi-tile:
+                    //   <|image_start|>
+                    //     <|img_row_1_col_1|> (tile) <|img_row_1_col_2|> (tile) ...
+                    //     <|img_thumbnail|> (thumbnail)
+                    //   <|image_end|>
+                    // single-tile:
+                    //   <|image_start|> (image) <|image_end|>
+                    img_beg            = "<|image_start|>";
+                    img_end            = "<|image_end|>";
+                    slice_tmpl         = MTMD_SLICE_TMPL_LFM2;
+                    sli_img_start_tmpl = "<|img_row_%d_col_%d|>";
+                    tok_ov_img_start   = {lookup_token("<|img_thumbnail|>")};
+                    ov_img_first       = false;
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_lfm2>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_GLM4V:
+                {
+                    // <|begin_of_image|> ... (image embeddings) ... <|end_of_image|>
+                    img_beg = "<|begin_of_image|>";
+                    img_end = "<|end_of_image|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_PADDLEOCR:
+                {
+                    // <|IMAGE_START|> ... (image embeddings) ... <|IMAGE_END|>
+                    img_beg = "<|IMAGE_START|>";
+                    img_end = "<|IMAGE_END|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_GEMMA4V:
+                {
+                    // <|image> ... (image embeddings) ... <image|>
+                    img_beg = "<|image>";
+                    img_end = "<image|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_DEEPSEEKOCR:
+                {
+                    img_end = "\n"; // prevent empty batch on llama-server
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_deepseekocr>(ctx_v);
+                } break;
+            case PROJECTOR_TYPE_HUNYUANOCR:
+                {
+                    // note: these use fullwidth ｜ (U+FF5C) and ▁ (U+2581) to match the tokenizer vocabulary
+                    img_beg = "<｜hy_place▁holder▁no▁100｜>";
+                    img_end = "<｜hy_place▁holder▁no▁101｜>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
+            default:
+                throw std::runtime_error(string_format("%s: unexpected vision projector type %d\n", __func__, proj));
         }
+
+        GGML_ASSERT(image_preproc != nullptr);
     }
 
     void init_audio() {
         GGML_ASSERT(ctx_a != nullptr);
+        audio_preproc.reset();
+
         projector_type proj = clip_get_projector_type(ctx_a);
 
         LOG_WRN("%s: audio input is in experimental stage and may have reduced quality:\n"
@@ -346,37 +478,49 @@ struct mtmd_context {
         // set preprocessor
         switch (proj) {
             case PROJECTOR_TYPE_QWEN2A:
+            case PROJECTOR_TYPE_QWEN3A:
             case PROJECTOR_TYPE_QWEN25O:
-            case PROJECTOR_TYPE_ULTRAVOX:
+                {
+                    // <|audio_bos|> ... (embeddings) ... <|audio_eos|>
+                    aud_beg = "<|audio_bos|>";
+                    aud_end = "<|audio_eos|>";
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_whisper>(ctx_a);
+                } break;
             case PROJECTOR_TYPE_VOXTRAL:
-            case PROJECTOR_TYPE_GLMA:
+                {
+                    // [BEGIN_AUDIO] ... (embeddings) ...
+                    aud_beg = "[BEGIN_AUDIO]";
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_whisper>(ctx_a);
+                } break;
             case PROJECTOR_TYPE_MUSIC_FLAMINGO:
-                audio_preproc = std::make_unique<mtmd_audio_preprocessor_whisper>(ctx_a);
-                break;
+                {
+                    // <sound> ... (embeddings) ...
+                    aud_beg = "<sound>";
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_whisper>(ctx_a);
+                } break;
+            case PROJECTOR_TYPE_ULTRAVOX:
+            case PROJECTOR_TYPE_GLMA:
+            case PROJECTOR_TYPE_MERALION:
+                {
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_whisper>(ctx_a);
+                } break;
             case PROJECTOR_TYPE_LFM2A:
-                audio_preproc = std::make_unique<mtmd_audio_preprocessor_conformer>(ctx_a);
-                break;
+                {
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_conformer>(ctx_a);
+                } break;
+            case PROJECTOR_TYPE_GEMMA4A:
+                {
+                    aud_beg = "<|audio>";
+                    aud_end = "<audio|>";
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_gemma4a>(ctx_a);
+                } break;
             default:
-                GGML_ABORT("unsupported audio projector type");
+                throw std::runtime_error(string_format("%s: unexpected audio projector type %d\n", __func__, proj));
         }
 
         // initialize audio preprocessor
+        GGML_ASSERT(audio_preproc != nullptr);
         audio_preproc->initialize();
-
-        // set special tokens
-        if (proj == PROJECTOR_TYPE_QWEN2A) {
-            // <|audio_bos|> ... (embeddings) ... <|audio_eos|>
-            aud_beg = "<|audio_bos|>";
-            aud_end = "<|audio_eos|>";
-
-        } else if (proj == PROJECTOR_TYPE_ULTRAVOX) {
-            // [BEGIN_AUDIO] ... (embeddings) ...
-            aud_beg = "[BEGIN_AUDIO]";
-
-        } else if (proj == PROJECTOR_TYPE_MUSIC_FLAMINGO) {
-            // <sound> ... (embeddings) ...
-            aud_beg = "<sound>";
-        }
     }
 
     // get clip ctx based on chunk type
@@ -463,9 +607,6 @@ struct mtmd_tokenizer {
         parse_special = text->parse_special;
         input_text    = text->text;
         vocab         = llama_model_get_vocab(ctx->text_model);
-
-        // for compatibility, we convert image marker to media marker
-        string_replace_all(input_text, MTMD_DEFAULT_IMAGE_MARKER, ctx->media_marker);
     }
 
     int32_t tokenize(mtmd_input_chunks * output) {
@@ -565,6 +706,11 @@ struct mtmd_tokenizer {
                 add_text(ctx->img_beg, true); // add image begin token
             }
 
+            // sanity check
+            GGML_ASSERT(bitmap->nx > 0 && bitmap->ny > 0);
+            GGML_ASSERT(bitmap->data.size() == (size_t)bitmap->nx * bitmap->ny * 3);
+            GGML_ASSERT(ctx->image_preproc != nullptr);
+
             // convert mtmd_bitmap to clip_image_u8
             clip_image_u8_ptr img_u8(clip_image_u8_init());
             img_u8->nx = bitmap->nx;
@@ -574,7 +720,7 @@ struct mtmd_tokenizer {
 
             // preprocess image
             clip_image_f32_batch batch_f32;
-            bool ok = clip_image_preprocess(ctx->ctx_v, img_u8.get(), &batch_f32);
+            bool ok = ctx->image_preproc->preprocess(*img_u8, batch_f32);
             if (!ok) {
                 LOG_ERR("Unable to preprocess image\n");
                 return 2;
@@ -587,6 +733,7 @@ struct mtmd_tokenizer {
                 || ctx->slice_tmpl == MTMD_SLICE_TMPL_MINICPMV_2_6
                 || ctx->slice_tmpl == MTMD_SLICE_TMPL_LLAMA4
                 || ctx->slice_tmpl == MTMD_SLICE_TMPL_IDEFICS3
+                || ctx->slice_tmpl == MTMD_SLICE_TMPL_STEP3VL
                 || (ctx->slice_tmpl == MTMD_SLICE_TMPL_LFM2 && has_tiling_grid)
             ) {
                 const int n_col = batch_f32.grid_x;
@@ -653,12 +800,12 @@ struct mtmd_tokenizer {
                     // for Qwen2VL, we need this information for M-RoPE decoding positions
                     image_tokens->nx = clip_n_output_tokens_x(ctx->ctx_v, batch_f32.entries[0].get());
                     image_tokens->ny = clip_n_output_tokens_y(ctx->ctx_v, batch_f32.entries[0].get());
-                    image_tokens->use_mrope_pos = true;
                 } else {
                     // other models, we only need the total number of tokens
                     image_tokens->nx = n_tokens;
                     image_tokens->ny = 1;
                 }
+                image_tokens->pos = ctx->pos_type;
                 image_tokens->batch_f32 = std::move(batch_f32);
                 image_tokens->id = bitmap->id; // optional
 
@@ -696,6 +843,11 @@ struct mtmd_tokenizer {
                 add_text(ctx->aud_beg, true); // add audio begin token
             }
 
+            // sanity check
+            GGML_ASSERT(ctx->audio_preproc != nullptr);
+            GGML_ASSERT(bitmap->data.size() > sizeof(float));
+            GGML_ASSERT(bitmap->data.size() % sizeof(float) == 0);
+
             // preprocess audio
             std::vector<mtmd_audio_mel> mel_spec_chunks;
             const float * samples = (const float *)bitmap->data.data();
@@ -851,13 +1003,15 @@ int32_t mtmd_encode(mtmd_context * ctx, const mtmd_image_tokens * image_tokens)
         LOG_ERR("%s: this API does not support non-vision input, please use mtmd_encode_chunk instead\n", __func__);
         return 1;
     }
+    auto proj_type = clip_get_projector_type(ctx_clip);
     int n_mmproj_embd = clip_n_mmproj_embd(ctx_clip);
     ctx->image_embd_v.resize(image_tokens->n_tokens() * n_mmproj_embd);
     bool ok = false;
 
     if (clip_is_llava(ctx_clip)
         || clip_is_minicpmv(ctx_clip)
-        || clip_is_glm(ctx_clip)) {
+        || clip_is_glm(ctx_clip)
+        || proj_type == PROJECTOR_TYPE_INTERNVL) {
         // TODO @ngxson : llava does not support batched encoding ; this should be fixed inside clip_image_batch_encode()
         const auto & entries = image_tokens->batch_f32.entries;
         for (size_t i = 0; i < entries.size(); i++) {
@@ -883,37 +1037,33 @@ float * mtmd_get_output_embd(mtmd_context * ctx) {
     return ctx->image_embd_v.data();
 }
 
-bool mtmd_decode_use_non_causal(mtmd_context * ctx) {
-    switch (ctx->proj_type_v()) {
+bool mtmd_decode_use_non_causal(const mtmd_context * ctx, const mtmd_input_chunk * chunk) {
+    auto proj_type = ctx->proj_type_v();
+    if (chunk && chunk->type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
+        proj_type = ctx->proj_type_a();
+    }
+    switch (proj_type) {
         case PROJECTOR_TYPE_GEMMA3:
+        case PROJECTOR_TYPE_GEMMA4V:
             return true;
         default:
             return false;
     }
 }
 
-bool mtmd_decode_use_mrope(mtmd_context * ctx) {
-    switch (ctx->proj_type_v()) {
-        case PROJECTOR_TYPE_QWEN2VL:
-        case PROJECTOR_TYPE_QWEN25VL:
-        case PROJECTOR_TYPE_QWEN3VL:
-        case PROJECTOR_TYPE_GLM4V:
-        case PROJECTOR_TYPE_PADDLEOCR:
-            return true;
-        default:
-            return false;
-    }
+bool mtmd_decode_use_mrope(const mtmd_context * ctx) {
+    return ctx->pos_type == MTMD_POS_TYPE_MROPE;
 }
 
-bool mtmd_support_vision(mtmd_context * ctx) {
+bool mtmd_support_vision(const mtmd_context * ctx) {
     return ctx->ctx_v != nullptr;
 }
 
-bool mtmd_support_audio(mtmd_context * ctx) {
+bool mtmd_support_audio(const mtmd_context * ctx) {
     return ctx->ctx_a != nullptr;
 }
 
-int mtmd_get_audio_sample_rate(mtmd_context * ctx) {
+int mtmd_get_audio_sample_rate(const mtmd_context * ctx) {
     if (!ctx->ctx_a) {
         return -1;
     }
@@ -1106,17 +1256,42 @@ size_t mtmd_image_tokens_get_ny(const mtmd_image_tokens * image_tokens) {
     return image_tokens->ny;
 }
 
+mtmd_decoder_pos mtmd_image_tokens_get_decoder_pos(const mtmd_image_tokens * image_tokens, llama_pos pos_0, size_t i) {
+    mtmd_decoder_pos pos;
+    switch (image_tokens->pos) {
+        case MTMD_POS_TYPE_MROPE:
+            {
+                pos.t = pos_0;
+                pos.x = pos_0 + (i % image_tokens->nx);
+                pos.y = pos_0 + (i / image_tokens->nx);
+                pos.z = 0; // unused for now
+            } break;
+        case MTMD_POS_TYPE_NORMAL:
+            {
+                pos.t = pos_0 + i;
+                pos.x = pos_0 + i;
+                pos.y = pos_0 + i;
+                pos.z = pos_0 + i;
+            } break;
+        default:
+            GGML_ABORT("invalid position type");
+    }
+    return pos;
+}
+
 const char * mtmd_image_tokens_get_id(const mtmd_image_tokens * image_tokens) {
     return image_tokens->id.c_str();
 }
 
 llama_pos mtmd_image_tokens_get_n_pos(const mtmd_image_tokens * image_tokens) {
-    if (image_tokens->use_mrope_pos) {
-        // for M-RoPE, temporal dimension = max(t,h,w)
-        // t is omitted as we don't support video input
-        return std::max(image_tokens->nx, image_tokens->ny);
+    switch (image_tokens->pos) {
+        case MTMD_POS_TYPE_MROPE:
+            return std::max(image_tokens->nx, image_tokens->ny);
+        case MTMD_POS_TYPE_NORMAL:
+            return image_tokens->n_tokens();
+        default:
+            GGML_ABORT("invalid position type");
     }
-    return image_tokens->n_tokens();
 }
 
 // test function
@@ -1223,7 +1398,8 @@ void mtmd_debug_preprocess_image(mtmd_context * ctx, const std::vector<uint8_t>
     img_u8.ny = ny;
     img_u8.buf = rgb_values;
     clip_image_f32_batch batch_f32;
-    bool ok = clip_image_preprocess(ctx->ctx_v, &img_u8, &batch_f32);
+    GGML_ASSERT(ctx->image_preproc != nullptr);
+    bool ok = ctx->image_preproc->preprocess(img_u8, batch_f32);
     if (!ok) {
         LOG_ERR("%s: failed to preprocess image\n", __func__);
         return;
diff --git a/tools/mtmd/mtmd.h b/tools/mtmd/mtmd.h
index ebb4a18fb33436017a195af7f7fb68494fafe565..e364174b82082b2d74bc6e3d4efffd472ecd388e 100644
--- a/tools/mtmd/mtmd.h
+++ b/tools/mtmd/mtmd.h
@@ -46,9 +46,6 @@
 #    define MTMD_API
 #endif
 
-// deprecated marker, use mtmd_default_marker() instead
-#define MTMD_DEFAULT_IMAGE_MARKER "<__image__>"
-
 #ifdef __cplusplus
 extern "C" {
 #endif
@@ -114,20 +111,21 @@ MTMD_API mtmd_context * mtmd_init_from_file(const char * mmproj_fname,
 MTMD_API void mtmd_free(mtmd_context * ctx);
 
 // whether we need to set non-causal mask before llama_decode
-MTMD_API bool mtmd_decode_use_non_causal(mtmd_context * ctx);
+// if chunk is nullptr, we assume the default case where chunk is an image chunk
+MTMD_API bool mtmd_decode_use_non_causal(const mtmd_context * ctx, const mtmd_input_chunk * chunk);
 
 // whether the current model use M-RoPE for llama_decode
-MTMD_API bool mtmd_decode_use_mrope(mtmd_context * ctx);
+MTMD_API bool mtmd_decode_use_mrope(const mtmd_context * ctx);
 
 // whether the current model supports vision input
-MTMD_API bool mtmd_support_vision(mtmd_context * ctx);
+MTMD_API bool mtmd_support_vision(const mtmd_context * ctx);
 
 // whether the current model supports audio input
-MTMD_API bool mtmd_support_audio(mtmd_context * ctx);
+MTMD_API bool mtmd_support_audio(const mtmd_context * ctx);
 
 // get audio sample rate in Hz, for example 16000 for Whisper
 // return -1 if audio is not supported
-MTMD_API int mtmd_get_audio_sample_rate(mtmd_context * ctx);
+MTMD_API int mtmd_get_audio_sample_rate(const mtmd_context * ctx);
 
 // mtmd_bitmap
 //
@@ -185,12 +183,27 @@ MTMD_API void               mtmd_input_chunk_free(mtmd_input_chunk * chunk);
 // the instance will be constructed via mtmd_tokenize()
 // it will be freed along with mtmd_input_chunk
 MTMD_API size_t       mtmd_image_tokens_get_n_tokens(const mtmd_image_tokens * image_tokens); // TODO: deprecate
-MTMD_API size_t       mtmd_image_tokens_get_nx      (const mtmd_image_tokens * image_tokens);
-MTMD_API size_t       mtmd_image_tokens_get_ny      (const mtmd_image_tokens * image_tokens);
 MTMD_API const char * mtmd_image_tokens_get_id      (const mtmd_image_tokens * image_tokens); // TODO: deprecate
 // number of temporal positions (equals to max(t,h,w) for M-RoPE; equals to n_tokens otherwise)
 MTMD_API llama_pos    mtmd_image_tokens_get_n_pos   (const mtmd_image_tokens * image_tokens); // TODO: deprecate
 
+DEPRECATED(MTMD_API size_t mtmd_image_tokens_get_nx(const mtmd_image_tokens * image_tokens),
+           "use mtmd_image_tokens_get_decoder_pos() instead");
+DEPRECATED(MTMD_API size_t mtmd_image_tokens_get_ny(const mtmd_image_tokens * image_tokens),
+           "use mtmd_image_tokens_get_decoder_pos() instead");
+
+struct mtmd_decoder_pos {
+    uint32_t t;
+    uint32_t x;
+    uint32_t y;
+    uint32_t z; // unused for now, reserved for future use
+};
+// get position for decoder attention, to be used by M-RoPE models
+// i is the index of the embedding token, ranging from 0 to mtmd_image_tokens_get_n_tokens() - 1
+// pos_0 is the absolute position of the first token
+// return relative position (for example, embedding 0 will have position (0, 0, 0); remember to adjust it to the current absolute position)
+MTMD_API struct mtmd_decoder_pos mtmd_image_tokens_get_decoder_pos(const mtmd_image_tokens * image_tokens, llama_pos pos_0, size_t i);
+
 // tokenize an input text prompt and a list of bitmaps (images/audio)
 // the prompt must have the input image marker (default: "<__media__>") in it
 // the default marker is defined by mtmd_default_marker()
diff --git a/tools/mtmd/tests.sh b/tools/mtmd/tests.sh
index d2b7e684af4580d272672a8069d3b1e2335070ab..5da48d61bfd38a483f9c01c5a6637de46533f0e5 100644
--- a/tools/mtmd/tests.sh
+++ b/tools/mtmd/tests.sh
@@ -88,11 +88,17 @@ add_test_vision "ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M"
 add_test_vision "ggml-org/LFM2-VL-450M-GGUF:Q8_0"
 add_test_vision "ggml-org/granite-docling-258M-GGUF:Q8_0"
 add_test_vision "ggml-org/LightOnOCR-1B-1025-GGUF:Q8_0"
+add_test_vision "ggml-org/DeepSeek-OCR-GGUF:Q8_0" -p "Free OCR." --chat-template deepseek-ocr
+add_test_vision "ggml-org/dots.ocr-GGUF:Q8_0" -p "OCR"
+add_test_vision "ggml-org/HunyuanOCR-GGUF:Q8_0" -p "OCR"
+add_test_vision "ggml-org/gemma-4-E2B-it-GGUF:Q8_0" --jinja
 
 add_test_audio  "ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF:Q8_0"
 add_test_audio  "ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M"
 add_test_audio  "ggml-org/Voxtral-Mini-3B-2507-GGUF:Q4_K_M"
 add_test_audio  "ggml-org/LFM2-Audio-1.5B-GGUF:Q8_0"
+add_test_audio  "ggml-org/gemma-4-E2B-it-GGUF:Q8_0" --jinja
+add_test_audio  "ggml-org/Qwen3-ASR-0.6B-GGUF:Q8_0"
 
 # to test the big models, run: ./tests.sh big
 if [ "$RUN_BIG_TESTS" = true ]; then
@@ -108,6 +114,7 @@ if [ "$RUN_BIG_TESTS" = true ]; then
     add_test_vision "ggml-org/Qwen2.5-Omni-7B-GGUF:Q4_K_M"
     # add_test_vision "ggml-org/Qwen2.5-VL-32B-Instruct-GGUF:Q4_K_M" # does not work on my mac M3 Ultra
     # add_test_vision "ggml-org/Kimi-VL-A3B-Thinking-2506-GGUF:Q4_K_M" # not always working
+    add_test_vision "ggml-org/GLM-4.6V-Flash-GGUF:Q4_K_M" -p "extract all texts from this image"
 
     add_test_audio  "ggml-org/ultravox-v0_5-llama-3_1-8b-GGUF:Q4_K_M"
     add_test_audio  "ggml-org/Qwen2.5-Omni-7B-GGUF:Q4_K_M"
diff --git a/tools/mtmd/tests/test-1-extracted.md b/tools/mtmd/tests/test-1-extracted.md
new file mode 100644
index 0000000000000000000000000000000000000000..d464f8f24ca8ee444b0988e6c400702bb62a0f30
--- /dev/null
+++ b/tools/mtmd/tests/test-1-extracted.md
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95c9e63d2bf1c2bfd3a414349167a9bd87fe0bce812e6c9afc52e0aa914212c1
+size 3776
diff --git a/tools/mtmd/tests/test-1-extracted.txt b/tools/mtmd/tests/test-1-extracted.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d716ae16686bd4880cd558be16e73c0e7ab65281
--- /dev/null
+++ b/tools/mtmd/tests/test-1-extracted.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a75ee44aa0a71578c1c9b36f7f9fbe163b8d25fa528514496394272176ee2fb
+size 1325
diff --git a/tools/mtmd/tests/test-deepseek-ocr.py b/tools/mtmd/tests/test-deepseek-ocr.py
new file mode 100644
index 0000000000000000000000000000000000000000..674a3500151ea0923c27c8a70f1f85d3d5b5ef1b
--- /dev/null
+++ b/tools/mtmd/tests/test-deepseek-ocr.py
@@ -0,0 +1,186 @@
+#!/usr/bin/env python3
+"""
+Test script to compare llama.cpp mtmd-cli output with HuggingFace reference implementation
+for DeepSeek-OCR model using embedding similarity.
+"""
+
+import argparse
+import subprocess
+import sys
+from pathlib import Path
+
+from sentence_transformers import SentenceTransformer
+from sentence_transformers import util
+
+
+def run_mtmd_deepseek_ocr(
+        model_path: str,
+        mmproj_path: str,
+        image_path: str,
+        bin_path: str,
+        prompt: str = "Free OCR."
+) -> str:
+    """
+    Run inference using llama.cpp mtmd-cli.
+    """
+    cmd = [
+        bin_path,
+        "-m", model_path,
+        "--mmproj", mmproj_path,
+        "--image", image_path,
+        # "-p", "<|grounding|>Convert the document to markdown.",
+        "-p", prompt,
+        "--chat-template", "deepseek-ocr",
+        "--temp", "0",
+        "-n", "1024",
+        # "--verbose"
+    ]
+
+    print(f"Running llama.cpp command: {' '.join(cmd)}")
+
+    result = subprocess.run(
+        cmd,
+        capture_output=True,
+        text=False,
+        timeout=300
+    )
+
+    if result.returncode != 0:
+        stderr = result.stderr.decode('utf-8', errors='replace')
+        print(f"llama.cpp stderr: {stderr}")
+        raise RuntimeError(f"llama-mtmd-cli failed with code {result.returncode}")
+
+    output = result.stdout.decode('utf-8', errors='replace').strip()
+    print(f"llama.cpp output length: {len(output)} chars")
+    return output
+
+
+def compute_embedding_similarity(text1: str, text2: str, model_name: str) -> float:
+    """
+    Compute cosine similarity between two texts using embedding model.
+    """
+    print(f"Loading embedding model: {model_name}")
+
+    # Use sentence-transformers for easier embedding extraction
+    embed_model = SentenceTransformer(model_name)
+
+    print("Computing embeddings...")
+    embeddings = embed_model.encode([text1, text2], convert_to_numpy=True)
+
+    similarity = util.similarity.cos_sim([embeddings[0]], [embeddings[1]])[0][0]
+    return float(similarity)
+
+
+def read_expected_output(file_path: str) -> str:
+    """
+    Read expected OCR output from file.
+    """
+    cur_path = Path(__file__).parent
+    expected_path = str(cur_path / file_path)
+    with open(expected_path, "r", encoding="utf-8") as f:
+        return f.read().strip()
+
+
+def main():
+    ap = argparse.ArgumentParser(description="Compare llama.cpp and HuggingFace DeepSeek-OCR outputs")
+    ap.add_argument("--llama-model", default="gguf_models/deepseek-ai/deepseek-ocr-f16.gguf",
+                    help="Path to llama.cpp GGUF model")
+    ap.add_argument("--mmproj", default="gguf_models/deepseek-ai/mmproj-deepseek-ocr-f16.gguf",
+                    help="Path to mmproj GGUF file")
+    ap.add_argument("--image", default="test-1.jpeg",
+                    help="Path to test image")
+    ap.add_argument("--llama-bin", default="build/bin/llama-mtmd-cli",
+                    help="Path to llama-mtmd-cli binary")
+    ap.add_argument("--embedding-model", default="Qwen/Qwen3-Embedding-0.6B",
+                    help="Embedding model for similarity computation")
+    ap.add_argument("--threshold", type=float, default=0.7,
+                    help="Minimum similarity threshold for pass")
+    args = ap.parse_args()
+
+    # Validate paths
+    # script directory + image
+    mtmd_dir = Path(__file__).parent.parent
+    args.image = str(mtmd_dir / args.image)
+    # project directory + llama model
+    args.llama_model = str(mtmd_dir.parent.parent / args.llama_model)
+    # project directory + mmproj
+    args.mmproj = str(mtmd_dir.parent.parent / args.mmproj)
+    args.llama_bin = str(mtmd_dir.parent.parent / args.llama_bin)
+    if not Path(args.image).exists():
+        print(f"Error: Image not found: {args.image}")
+        sys.exit(1)
+    if not Path(args.llama_model).exists():
+        print(f"Error: Model not found: {args.llama_model}")
+        sys.exit(1)
+    if not Path(args.mmproj).exists():
+        print(f"Error: mmproj not found: {args.mmproj}")
+        sys.exit(1)
+
+    print("=" * 60)
+    print("DeepSeek-OCR: llama.cpp vs HuggingFace Comparison")
+    print("=" * 60)
+
+    # Default paths based on your command
+
+    # Run llama.cpp inference
+    print("\n[2/3] Running llama.cpp implementation...")
+    llama_free_ocr = run_mtmd_deepseek_ocr(
+        args.llama_model,
+        args.mmproj,
+        args.image,
+        args.llama_bin
+    )
+
+    llama_md_ocr = run_mtmd_deepseek_ocr(
+        args.llama_model,
+        args.mmproj,
+        args.image,
+        args.llama_bin,
+        prompt="<|grounding|>Convert the document to markdown."
+    )
+
+    expected_free_ocr = read_expected_output("test-1-extracted.txt")
+    expected_md_ocr = read_expected_output("test-1-extracted.md")
+
+    # Compute similarity
+    print("\n[3/3] Computing embedding similarity...")
+    free_ocr_similarity = compute_embedding_similarity(
+        expected_free_ocr,
+        llama_free_ocr,
+        args.embedding_model
+    )
+
+    md_ocr_similarity = compute_embedding_similarity(
+        expected_md_ocr,
+        llama_md_ocr,
+        args.embedding_model
+    )
+
+    # Results
+    print("\n" + "=" * 60)
+    print("RESULTS")
+    print("=" * 60)
+    print(f"\nReference Model output:\n{'-' * 40}")
+    print(expected_free_ocr)
+    print(f"\nDeepSeek-OCR output:\n{'-' * 40}")
+    print(llama_free_ocr)
+    print(f"\n{'=' * 60}")
+    print(f"Cosine Similarity: {free_ocr_similarity:.4f}")
+    print(f"Threshold: {args.threshold}")
+    print(f"Result: {'PASS' if free_ocr_similarity >= args.threshold else 'FAIL'}")
+    print("=" * 60)
+
+    # Markdown OCR results
+    print(f"\nReference Model Markdown output:\n{'-' * 40}")
+    print(expected_md_ocr)
+    print(f"\nDeepSeek-OCR Markdown output:\n{'-' * 40}")
+    print(llama_md_ocr)
+    print(f"\n{'=' * 60}")
+    print(f"Cosine Similarity (Markdown): {md_ocr_similarity:.4f}")
+    print(f"Threshold: {args.threshold}")
+    print(f"Result: {'PASS' if md_ocr_similarity >= args.threshold else 'FAIL'}")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tools/mtmd/tests/tests-requirements.txt b/tools/mtmd/tests/tests-requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c490e1e96b5a4ae0e79fec2155e98ab150b1be80
--- /dev/null
+++ b/tools/mtmd/tests/tests-requirements.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0afaef7bd4fb40b9480262faf4239cd20b5b4a7eeaebecb3e9272cfaab13bd77
+size 69
diff --git a/tools/parser/CMakeLists.txt b/tools/parser/CMakeLists.txt
index 55e0c634375a3bb889f9be30515c8c2c0cb1e1d8..56fd21f722075b9d516f9a760218150f22556c7a 100644
--- a/tools/parser/CMakeLists.txt
+++ b/tools/parser/CMakeLists.txt
@@ -1,20 +1,3 @@
-if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
-    # this tool is disabled on Windows when building with shared libraries because it uses internal functions not exported with LLAMA_API
-    set(TARGET llama-debug-template-parser)
-    add_executable(${TARGET} debug-template-parser.cpp)
-    target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-    target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-    if(LLAMA_TOOLS_INSTALL)
-        install(TARGETS ${TARGET} RUNTIME)
-    endif()
-endif()
-
-set(TARGET llama-template-analysis)
-add_executable(${TARGET} template-analysis.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:0862a28adb2a2babf6038b4bb0d1fa722ebe13d0859cc4890aea40420d27ddab
+size 835
diff --git a/tools/parser/debug-template-parser.cpp b/tools/parser/debug-template-parser.cpp
index ffa3a5af7ab6c83934bc962bd630443409830ccc..9c591a1f11869a413effb26bd990175ec7eb2559 100644
--- a/tools/parser/debug-template-parser.cpp
+++ b/tools/parser/debug-template-parser.cpp
@@ -5,15 +5,15 @@
 #include "gguf.h"
 #include "jinja/runtime.h"
 #include "log.h"
+#include "nlohmann/json.hpp"
+#include "peg-parser.h"
 
 #include <fstream>
 #include <numeric>
+#include <optional>
 #include <sstream>
 #include <string>
 
-#include "nlohmann/json.hpp"
-#include "peg-parser.h"
-
 using json = nlohmann::ordered_json;
 
 enum class output_mode {
@@ -34,14 +34,14 @@ enum class input_message_type {
 };
 
 struct debug_options {
-    std::string      template_path;
-    bool             with_tools        = true;
-    bool             generation_prompt = true;
-    bool             enable_reasoning  = true;
-    bool             debug_jinja       = false;
-    bool             force_tool_call   = false;
-    output_mode      mode              = output_mode::BOTH;
-    input_message_type input_message   = input_message_type::NONE;
+    std::string        template_path;
+    bool               with_tools        = true;
+    bool               generation_prompt = true;
+    bool               enable_reasoning  = true;
+    bool               debug_jinja       = false;
+    bool               force_tool_call   = false;
+    output_mode        mode              = output_mode::BOTH;
+    input_message_type input_message     = input_message_type::NONE;
 };
 
 static std::string read_file(const std::string & path) {
@@ -274,7 +274,7 @@ static void render_scenario(const common_chat_template & tmpl,
     json final_messages = messages;
     if (add_generation_prompt && !messages.empty() && messages.back().value("role", "") == "assistant") {
         final_messages.push_back(json{
-            { "role",    "user" },
+            { "role",    "user"                                       },
             { "content", "Now please continue with another response." }
         });
     }
@@ -282,7 +282,7 @@ static void render_scenario(const common_chat_template & tmpl,
     LOG_ERR("Messages:\n%s\n", final_messages.dump(2).c_str());
 
     try {
-        autoparser::templates_params inputs;
+        autoparser::generation_params inputs;
         inputs.messages                         = final_messages;
         inputs.add_generation_prompt            = add_generation_prompt;
         inputs.extra_context["enable_thinking"] = enable_thinking;
@@ -305,7 +305,7 @@ static void render_all_scenarios(const common_chat_template & tmpl,
                                  const json &                 tools,
                                  bool                         add_generation_prompt,
                                  bool                         enable_thinking,
-                                 input_message_type             message_type) {
+                                 input_message_type           message_type) {
     json user_msg = build_user_message();
 
     auto render_if = [&](input_message_type type, const std::string & name, const json & assistant_msg) {
@@ -335,6 +335,24 @@ static void render_all_scenarios(const common_chat_template & tmpl,
     }
 }
 
+static autoparser::generation_params prepare_params(const debug_options & opts, const json & tools) {
+    autoparser::generation_params params;
+    params.messages         = json::array({ build_user_message() });
+    params.reasoning_format = opts.enable_reasoning ? COMMON_REASONING_FORMAT_DEEPSEEK : COMMON_REASONING_FORMAT_NONE;
+    params.enable_thinking  = opts.enable_reasoning;
+    params.add_generation_prompt = opts.generation_prompt;
+
+    if (opts.with_tools) {
+        params.tools       = tools;
+        params.tool_choice = opts.force_tool_call ? COMMON_CHAT_TOOL_CHOICE_REQUIRED : COMMON_CHAT_TOOL_CHOICE_AUTO;
+    } else {
+        params.tools       = json();
+        params.tool_choice = COMMON_CHAT_TOOL_CHOICE_NONE;
+    }
+    params.parallel_tool_calls = false;
+    return params;
+}
+
 int main(int argc, char ** argv) {
     // Set log level to most verbose to capture all debug output
     common_log_set_verbosity_thold(99);
@@ -369,49 +387,41 @@ int main(int argc, char ** argv) {
     try {
         common_chat_template chat_template(template_source, "", "");
 
-        // Build tools definition
         json tools = opts.with_tools ? build_tools_definition() : json();
 
-        // Render template scenarios if requested
-        if (opts.input_message != input_message_type::NONE &&
-            (opts.mode == output_mode::TEMPLATE || opts.mode == output_mode::BOTH)) {
+        autoparser::generation_params params = prepare_params(opts, tools);
+        common_chat_params            parser_data;
+        if (std::optional<common_chat_params> spec_tmpl =
+                common_chat_try_specialized_template(chat_template, template_source, params)) {
             LOG_ERR("\n");
-            LOG_ERR("================================================================================\n");
-            LOG_ERR("                         TEMPLATE RENDERING OUTPUT\n");
-            LOG_ERR("================================================================================\n");
+            LOG_ERR("This template uses a specialized parser, analysis results will not be available.");
+            parser_data = *spec_tmpl;
+        } else {
+            // Render template scenarios if requested
+            if (opts.input_message != input_message_type::NONE &&
+                (opts.mode == output_mode::TEMPLATE || opts.mode == output_mode::BOTH)) {
+                LOG_ERR("\n");
+                LOG_ERR("================================================================================\n");
+                LOG_ERR("                         TEMPLATE RENDERING OUTPUT\n");
+                LOG_ERR("================================================================================\n");
+
+                render_all_scenarios(chat_template, tools, opts.generation_prompt, opts.enable_reasoning,
+                                     opts.input_message);
+            }
 
-            render_all_scenarios(chat_template, tools, opts.generation_prompt, opts.enable_reasoning,
-                                 opts.input_message);
-        }
+            // Output analysis if requested
+            if (opts.mode == output_mode::ANALYSIS || opts.mode == output_mode::BOTH) {
+                LOG_ERR("\n");
+                LOG_ERR("================================================================================\n");
+                LOG_ERR("                           TEMPLATE ANALYSIS\n");
+                LOG_ERR("================================================================================\n");
 
-        // Output analysis if requested
-        if (opts.mode == output_mode::ANALYSIS || opts.mode == output_mode::BOTH) {
-            LOG_ERR("\n");
-            LOG_ERR("================================================================================\n");
-            LOG_ERR("                           TEMPLATE ANALYSIS\n");
-            LOG_ERR("================================================================================\n");
-
-            autoparser::autoparser analysis;
-            analysis.analyze_template(chat_template);
-
-            // Generate Parser
-            autoparser::templates_params params;
-            params.messages = json::array({ build_user_message() });
-            params.reasoning_format =
-                opts.enable_reasoning ? COMMON_REASONING_FORMAT_DEEPSEEK : COMMON_REASONING_FORMAT_NONE;
-            params.enable_thinking       = opts.enable_reasoning;
-            params.add_generation_prompt = opts.generation_prompt;
-
-            if (opts.with_tools) {
-                params.tools       = tools;
-                params.tool_choice = opts.force_tool_call ? COMMON_CHAT_TOOL_CHOICE_REQUIRED : COMMON_CHAT_TOOL_CHOICE_AUTO;
-            } else {
-                params.tools       = json();
-                params.tool_choice = COMMON_CHAT_TOOL_CHOICE_NONE;
-            }
-            params.parallel_tool_calls = false;
+                autoparser::autoparser analysis;
+                analysis.analyze_template(chat_template);
 
-            auto parser_data = autoparser::peg_generator::generate_parser(chat_template, params, analysis);
+                // Generate Parser
+                parser_data = autoparser::peg_generator::generate_parser(chat_template, params, analysis);
+            }
 
             LOG_ERR("\n=== Generated Parser ===\n");
             common_peg_arena arena;
diff --git a/tools/parser/template-analysis.cpp b/tools/parser/template-analysis.cpp
index a92e104ac0fc177d664ffb5daeeefc9aed4021c7..bf898a2290f1957d9765bb76c578d7e518761679 100644
--- a/tools/parser/template-analysis.cpp
+++ b/tools/parser/template-analysis.cpp
@@ -400,12 +400,12 @@ static void analyze_template(const std::string & template_path) {
         {
             json user_msg = make_user_msg();
 
-            autoparser::templates_params params_no_tools;
+            autoparser::generation_params params_no_tools;
             params_no_tools.messages = json::array({ user_msg });
             params_no_tools.add_generation_prompt = false;
             params_no_tools.tools = json::array();
 
-            autoparser::templates_params params_with_tools = params_no_tools;
+            autoparser::generation_params params_with_tools = params_no_tools;
             params_with_tools.tools = tools;
 
             std::string output_no_tools = common_chat_template_direct_apply(chat_template, params_no_tools);
@@ -419,12 +419,12 @@ static void analyze_template(const std::string & template_path) {
         {
             json user_msg = make_user_msg();
 
-            autoparser::templates_params params_no_prompt;
+            autoparser::generation_params params_no_prompt;
             params_no_prompt.messages = json::array({ user_msg });
             params_no_prompt.add_generation_prompt = false;
             params_no_prompt.tools = json::array();
 
-            autoparser::templates_params params_with_prompt = params_no_prompt;
+            autoparser::generation_params params_with_prompt = params_no_prompt;
             params_with_prompt.add_generation_prompt = true;
 
             std::string output_no_prompt = common_chat_template_direct_apply(chat_template, params_no_prompt);
@@ -438,12 +438,12 @@ static void analyze_template(const std::string & template_path) {
         {
             json user_msg = make_user_msg();
 
-            autoparser::templates_params params_no_reasoning;
+            autoparser::generation_params params_no_reasoning;
             params_no_reasoning.messages = json::array({ user_msg, make_assistant_no_reasoning() });
             params_no_reasoning.add_generation_prompt = false;
             params_no_reasoning.enable_thinking = true;
 
-            autoparser::templates_params params_with_reasoning = params_no_reasoning;
+            autoparser::generation_params params_with_reasoning = params_no_reasoning;
             params_with_reasoning.messages = json::array({ user_msg, make_assistant_with_reasoning() });
 
             std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning);
@@ -458,12 +458,12 @@ static void analyze_template(const std::string & template_path) {
             json user_msg = make_user_msg();
             json user_msg2 = make_user_msg2();
 
-            autoparser::templates_params params_no_reasoning;
+            autoparser::generation_params params_no_reasoning;
             params_no_reasoning.messages = json::array({ user_msg, make_assistant_no_reasoning(), user_msg2 });
             params_no_reasoning.add_generation_prompt = false;
             params_no_reasoning.enable_thinking = true;
 
-            autoparser::templates_params params_with_reasoning = params_no_reasoning;
+            autoparser::generation_params params_with_reasoning = params_no_reasoning;
             params_with_reasoning.messages = json::array({ user_msg, make_assistant_with_reasoning(), user_msg2 });
 
             std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning);
@@ -477,12 +477,12 @@ static void analyze_template(const std::string & template_path) {
         {
             json user_msg = make_user_msg();
 
-            autoparser::templates_params params_no_tool;
+            autoparser::generation_params params_no_tool;
             params_no_tool.messages = json::array({ user_msg, make_assistant_no_tool() });
             params_no_tool.add_generation_prompt = false;
             params_no_tool.tools = tools;
 
-            autoparser::templates_params params_with_tool = params_no_tool;
+            autoparser::generation_params params_with_tool = params_no_tool;
             params_with_tool.messages = json::array({ user_msg, make_assistant_one_tool() });
 
             std::string output_no_tool = common_chat_template_direct_apply(chat_template, params_no_tool);
@@ -497,12 +497,12 @@ static void analyze_template(const std::string & template_path) {
             json user_msg = make_user_msg();
             json user_msg2 = make_user_msg2_continue();
 
-            autoparser::templates_params params_no_tool;
+            autoparser::generation_params params_no_tool;
             params_no_tool.messages = json::array({ user_msg, make_assistant_no_tool(), user_msg2 });
             params_no_tool.add_generation_prompt = false;
             params_no_tool.tools = tools;
 
-            autoparser::templates_params params_with_tool = params_no_tool;
+            autoparser::generation_params params_with_tool = params_no_tool;
             params_with_tool.messages = json::array({ user_msg, make_assistant_one_tool(), user_msg2 });
 
             std::string output_no_tool = common_chat_template_direct_apply(chat_template, params_no_tool);
@@ -516,12 +516,12 @@ static void analyze_template(const std::string & template_path) {
         {
             json user_msg = make_user_msg();
 
-            autoparser::templates_params params_one_tool;
+            autoparser::generation_params params_one_tool;
             params_one_tool.messages = json::array({ user_msg, make_assistant_one_tool() });
             params_one_tool.add_generation_prompt = false;
             params_one_tool.tools = tools;
 
-            autoparser::templates_params params_two_tools = params_one_tool;
+            autoparser::generation_params params_two_tools = params_one_tool;
             params_two_tools.messages = json::array({ user_msg, make_assistant_two_tools() });
 
             std::string output_one_tool = common_chat_template_direct_apply(chat_template, params_one_tool);
@@ -536,12 +536,12 @@ static void analyze_template(const std::string & template_path) {
             json user_msg = make_user_msg();
             json user_msg2 = make_user_msg2_continue();
 
-            autoparser::templates_params params_one_tool;
+            autoparser::generation_params params_one_tool;
             params_one_tool.messages = json::array({ user_msg, make_assistant_one_tool(), user_msg2 });
             params_one_tool.add_generation_prompt = false;
             params_one_tool.tools = tools;
 
-            autoparser::templates_params params_two_tools = params_one_tool;
+            autoparser::generation_params params_two_tools = params_one_tool;
             params_two_tools.messages = json::array({ user_msg, make_assistant_two_tools(), user_msg2 });
 
             std::string output_one_tool = common_chat_template_direct_apply(chat_template, params_one_tool);
@@ -555,13 +555,13 @@ static void analyze_template(const std::string & template_path) {
         {
             json user_msg = make_user_msg();
 
-            autoparser::templates_params params_no_reasoning;
+            autoparser::generation_params params_no_reasoning;
             params_no_reasoning.messages = json::array({ user_msg, make_assistant_one_tool() });
             params_no_reasoning.add_generation_prompt = false;
             params_no_reasoning.tools = tools;
             params_no_reasoning.enable_thinking = true;
 
-            autoparser::templates_params params_with_reasoning = params_no_reasoning;
+            autoparser::generation_params params_with_reasoning = params_no_reasoning;
             params_with_reasoning.messages = json::array({ user_msg, make_assistant_one_tool_with_reasoning() });
 
             std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning);
diff --git a/tools/perplexity/CMakeLists.txt b/tools/perplexity/CMakeLists.txt
index 12b28b2be4320c37f0a7a74ecfe81db900366a50..1b904d3c6c46512a4fa87d3459e780509f21ff8c 100644
--- a/tools/perplexity/CMakeLists.txt
+++ b/tools/perplexity/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-perplexity)
-add_executable(${TARGET} perplexity.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:b969dd0ca9bcf7d96e69f201b83a7faba1dd94f3d7cdb019995985b1fd43a940
+size 290
diff --git a/tools/perplexity/perplexity.cpp b/tools/perplexity/perplexity.cpp
index 0eb062f05dd3f8a9a3b92ab94c3392a68378ab5a..75defd7c87ba0b0551e9cb5c6f514b10b5d6462e 100644
--- a/tools/perplexity/perplexity.cpp
+++ b/tools/perplexity/perplexity.cpp
@@ -1,5 +1,6 @@
 #include "arg.h"
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 #include "llama.h"
 
@@ -2012,12 +2013,12 @@ int main(int argc, char ** argv) {
     params.n_ctx = 512;
     params.escape = false;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_PERPLEXITY)) {
         return 1;
     }
 
-    common_init();
-
     const int32_t n_ctx = params.n_ctx;
 
     if (n_ctx <= 0) {
@@ -2049,11 +2050,16 @@ int main(int argc, char ** argv) {
     auto * model = llama_init->model();
     auto * ctx   = llama_init->context();
 
-    if (model == NULL) {
+    if (model == nullptr) {
         LOG_ERR("%s: unable to load model\n", __func__);
         return 1;
     }
 
+    if (ctx == nullptr) {
+        LOG_ERR("%s: failed to create context\n", __func__);
+        return 1;
+    }
+
     const int n_ctx_train = llama_model_n_ctx_train(model);
 
     if (params.n_ctx > n_ctx_train) {
@@ -2082,7 +2088,7 @@ int main(int argc, char ** argv) {
 
     LOG("\n");
     llama_perf_context_print(ctx);
-    llama_memory_breakdown_print(ctx);
+    common_memory_breakdown_print(ctx);
 
     llama_backend_free();
 
diff --git a/tools/quantize/CMakeLists.txt b/tools/quantize/CMakeLists.txt
index bd9ddbd67dac7676f054dbd9c3a39299e09513f7..9f4a087ae591c7947fdc141043b9e943d1426a9e 100644
--- a/tools/quantize/CMakeLists.txt
+++ b/tools/quantize/CMakeLists.txt
@@ -1,9 +1,3 @@
-set(TARGET llama-quantize)
-add_executable(${TARGET} quantize.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_include_directories(${TARGET} PRIVATE ../../common)
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef86d9d2be39fc2ebc64e9b7827ba1225f7e4ac563ed673e3fd46af009d85ddb
+size 346
diff --git a/tools/quantize/quantize.cpp b/tools/quantize/quantize.cpp
index 24e0a4662aefd6e6d5415c2485e687b985b95dba..3d33d47d98b5f960478c8248679d2667589ae4b3 100644
--- a/tools/quantize/quantize.cpp
+++ b/tools/quantize/quantize.cpp
@@ -1,5 +1,8 @@
-#include "common.h"
 #include "llama.h"
+
+#include "build-info.h"
+#include "common.h"
+
 #include "gguf.h"
 
 #include <algorithm>
@@ -13,13 +16,10 @@
 #include <unordered_map>
 #include <map>
 #include <fstream>
-#include <cmath>
-#include <cctype>
-#include <algorithm>
 #include <filesystem>
 
 // result of parsing --tensor-type option
-// (changes to this struct must be reflected in src/llama-quant.cpp)
+// changes to this struct must also be reflected in src/llama-quant.cpp
 struct tensor_type_option {
     std::string name;
     ggml_type type = GGML_TYPE_COUNT;
@@ -32,6 +32,7 @@ struct quant_option {
 };
 
 static const std::vector<quant_option> QUANT_OPTIONS = {
+    { "Q1_0",     LLAMA_FTYPE_MOSTLY_Q1_0,     " 1.125 bpw quantization",           },
     { "Q4_0",     LLAMA_FTYPE_MOSTLY_Q4_0,     " 4.34G, +0.4685 ppl @ Llama-3-8B",  },
     { "Q4_1",     LLAMA_FTYPE_MOSTLY_Q4_1,     " 4.78G, +0.4511 ppl @ Llama-3-8B",  },
     { "MXFP4_MOE",LLAMA_FTYPE_MOSTLY_MXFP4_MOE," MXFP4 MoE",  },
@@ -491,7 +492,6 @@ static bool parse_layer_prune(const char * data, std::vector<int> & prune_layers
 
 int main(int argc, char ** argv) {
     std::setlocale(LC_NUMERIC, "C");
-
     if (argc < 3) {
         usage(argv[0]);
     }
@@ -584,8 +584,16 @@ int main(int argc, char ** argv) {
     std::vector<std::string> imatrix_datasets;
     std::unordered_map<std::string, std::vector<float>> imatrix_data;
     int m_last_call = prepare_imatrix(imatrix_file, imatrix_datasets, included_weights, excluded_weights, imatrix_data);
+
+    std::vector<llama_model_imatrix_data> i_data;
+    std::vector<llama_model_tensor_override> t_override;
     if (!imatrix_data.empty()) {
-        params.imatrix = &imatrix_data;
+        i_data.reserve(imatrix_data.size() + 1);
+        for (const auto & kv : imatrix_data) {
+            i_data.push_back({kv.first.c_str(), kv.second.data(), kv.second.size()});
+        }
+        i_data.push_back({nullptr, nullptr, 0});  // array terminator
+        params.imatrix = i_data.data();
         {
             llama_model_kv_override kvo;
             std::strcpy(kvo.key, LLM_KV_QUANTIZE_IMATRIX_FILE);
@@ -603,7 +611,6 @@ int main(int argc, char ** argv) {
             kvo.val_str[127] = '\0';
             kv_overrides.emplace_back(std::move(kvo));
         }
-
         {
             llama_model_kv_override kvo;
             std::strcpy(kvo.key, LLM_KV_QUANTIZE_IMATRIX_N_ENTRIES);
@@ -611,7 +618,6 @@ int main(int argc, char ** argv) {
             kvo.val_i64 = imatrix_data.size();
             kv_overrides.emplace_back(std::move(kvo));
         }
-
         if (m_last_call > 0) {
             llama_model_kv_override kvo;
             std::strcpy(kvo.key, LLM_KV_QUANTIZE_IMATRIX_N_CHUNKS);
@@ -623,13 +629,19 @@ int main(int argc, char ** argv) {
     if (!kv_overrides.empty()) {
         kv_overrides.emplace_back();
         kv_overrides.back().key[0] = 0;
-        params.kv_overrides = &kv_overrides;
+        params.kv_overrides = kv_overrides.data();
     }
     if (!tensor_type_opts.empty()) {
-        params.tensor_types = &tensor_type_opts;
+        t_override.reserve(tensor_type_opts.size() + 1);
+        for (const auto & tt : tensor_type_opts) {
+            t_override.push_back({tt.name.c_str(), tt.type});
+        }
+        t_override.push_back({nullptr, GGML_TYPE_COUNT});  // array terminator
+        params.tt_overrides = t_override.data();
     }
     if (!prune_layers.empty()) {
-        params.prune_layers = &prune_layers;
+        prune_layers.push_back(-1);  // array terminator
+        params.prune_layers = prune_layers.data();
     }
 
     llama_backend_init();
@@ -700,7 +712,7 @@ int main(int argc, char ** argv) {
         }
     }
 
-    print_build_info();
+    llama_print_build_info();
 
     if (params.dry_run) {
         fprintf(stderr, "%s: calculating quantization size for '%s' as %s", __func__, fname_inp.c_str(), ftype_str.c_str());
diff --git a/tools/results/CMakeLists.txt b/tools/results/CMakeLists.txt
index 2843b8488a13be463a59d20f57167aef44f2c90f..22b3576aa81ab5911392df25559d509a016982a8 100644
--- a/tools/results/CMakeLists.txt
+++ b/tools/results/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-results)
-add_executable(${TARGET} results.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:58766a76682535e705dc4831dd43396bdbd2014739d1fe89fdd734d729b959ad
+size 284
diff --git a/tools/results/results.cpp b/tools/results/results.cpp
index e5c5df128e254cc5942a7a80096d66758caff3dc..f2179ed275210c9f9e5b811906ab33b6d1d24ad7 100644
--- a/tools/results/results.cpp
+++ b/tools/results/results.cpp
@@ -58,6 +58,9 @@ static std::vector<float> get_logits(
 int main(int argc, char ** argv) {
     common_params params;
     params.escape = false;
+
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RESULTS)) {
         return 1;
     }
@@ -65,7 +68,6 @@ int main(int argc, char ** argv) {
         LOG_ERR("%s: an output file must be specified", __func__);
         return 1;
     }
-    common_init();
     llama_backend_init();
     llama_numa_init(params.numa);
     common_init_result_ptr llama_init = common_init_from_params(params);
diff --git a/tools/rpc/README.md b/tools/rpc/README.md
index afbb302f4b46dcc48686923d814b6d0dd5c9d0b0..74b6a214fdc7ed687b6d1c48e971bd0d2ff05e70 100644
--- a/tools/rpc/README.md
+++ b/tools/rpc/README.md
@@ -1,104 +1,3 @@
-## Overview
-
-> [!IMPORTANT]
-> This example and the RPC backend are currently in a proof-of-concept development stage. As such, the functionality is fragile and
-> insecure. **Never run the RPC server on an open network or in a sensitive environment!**
-
-The `rpc-server` allows exposing `ggml` devices on a remote host.
-The RPC backend communicates with one or several instances of `rpc-server` and offloads computations to them.
-This can be used for distributed LLM inference with `llama.cpp` in the following way:
-
-```mermaid
-flowchart TD
-    rpcb<-->|TCP|srva
-    rpcb<-->|TCP|srvb
-    rpcb<-.->|TCP|srvn
-    subgraph hostn[Host N]
-    srvn[rpc-server]<-.->dev4["CUDA0"]
-    srvn[rpc-server]<-.->dev5["CPU"]
-    end
-    subgraph hostb[Host B]
-    srvb[rpc-server]<-->dev3["Metal"]
-    end
-    subgraph hosta[Host A]
-    srva[rpc-server]<-->dev["CUDA0"]
-    srva[rpc-server]<-->dev2["CUDA1"]
-    end
-    subgraph host[Main Host]
-    local["Local devices"]<-->ggml[llama-cli]
-    ggml[llama-cli]<-->rpcb[RPC backend]
-    end
-    style hostn stroke:#66,stroke-width:2px,stroke-dasharray: 5 5
-    classDef devcls fill:#5B9BD5
-    class local,dev,dev2,dev3,dev4,dev5 devcls
-```
-
-By default, `rpc-server` exposes all available accelerator devices on the host.
-If there are no accelerators, it exposes a single `CPU` device.
-
-## Usage
-
-### Remote hosts
-
-On each remote host, build the backends for each accelerator by adding `-DGGML_RPC=ON` to the build options.
-For example, to build the `rpc-server` with support for CUDA accelerators:
-
-```bash
-mkdir build-rpc-cuda
-cd build-rpc-cuda
-cmake .. -DGGML_CUDA=ON -DGGML_RPC=ON
-cmake --build . --config Release
-```
-
-When started, the `rpc-server` will detect and expose all available `CUDA` devices:
-
-```bash
-$ bin/rpc-server
-ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
-ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
-ggml_cuda_init: found 1 CUDA devices:
-  Device 0: NVIDIA GeForce RTX 5090, compute capability 12.0, VMM: yes
-Starting RPC server v3.0.0
-  endpoint       : 127.0.0.1:50052
-  local cache    : n/a
-Devices:
-  CUDA0: NVIDIA GeForce RTX 5090 (32109 MiB, 31588 MiB free)
-```
-
-You can control the set of exposed CUDA devices with the `CUDA_VISIBLE_DEVICES` environment variable or the `--device` command line option. The following two commands have the same effect:
-```bash
-$ CUDA_VISIBLE_DEVICES=0 bin/rpc-server -p 50052
-$ bin/rpc-server --device CUDA0 -p 50052
-```
-
-### Main host
-
-On the main host build `llama.cpp` with the backends for the local devices and add `-DGGML_RPC=ON` to the build options.
-Finally, when running `llama-cli` or `llama-server`, use the `--rpc` option to specify the host and port of each `rpc-server`:
-
-```bash
-$ llama-cli -hf ggml-org/gemma-3-1b-it-GGUF -ngl 99 --rpc 192.168.88.10:50052,192.168.88.11:50052
-```
-
-By default, llama.cpp distributes model weights and the KV cache across all available devices -- both local and remote -- in proportion to each device's available memory.
-You can override this behavior with the `--tensor-split` option and set custom proportions when splitting tensor data across devices.
-
-### Local cache
-
-The RPC server can use a local cache to store large tensors and avoid transferring them over the network.
-This can speed up model loading significantly, especially when using large models.
-To enable the cache, use the `-c` option:
-
-```bash
-$ bin/rpc-server -c
-```
-
-By default, the cache is stored in the `$HOME/.cache/llama.cpp/rpc` directory and can be controlled via the `LLAMA_CACHE` environment variable.
-
-### Troubleshooting
-
-Use the `GGML_RPC_DEBUG` environment variable to enable debug messages from `rpc-server`:
-```bash
-$ GGML_RPC_DEBUG=1 bin/rpc-server
-```
-
+version https://git-lfs.github.com/spec/v1
+oid sha256:d73c1567f4aed5116b99a6e459c15b8227dd71e0290f853479e1a517c0629fcb
+size 4125
diff --git a/tools/server/CMakeLists.txt b/tools/server/CMakeLists.txt
index 5621a51b226e0e61b86ff007d3ef7b14765e3994..90b4c97f1cd39bf839bde00b332011265ebb8d18 100644
--- a/tools/server/CMakeLists.txt
+++ b/tools/server/CMakeLists.txt
@@ -1,62 +1,3 @@
-include_directories(${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_BINARY_DIR})
-
-# server-context containing the core server logic, used by llama-server and CLI
-
-set(TARGET server-context)
-
-add_library(${TARGET} STATIC
-    server-task.cpp
-    server-task.h
-    server-queue.cpp
-    server-queue.h
-    server-common.cpp
-    server-common.h
-    server-context.cpp
-    server-context.h
-)
-
-if (BUILD_SHARED_LIBS)
-    set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
-endif()
-
-target_include_directories(${TARGET} PRIVATE ../mtmd)
-target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
-target_link_libraries(${TARGET} PUBLIC common mtmd ${CMAKE_THREAD_LIBS_INIT})
-
-
-# llama-server executable
-
-set(TARGET llama-server)
-
-set(TARGET_SRCS
-    server.cpp
-    server-http.cpp
-    server-http.h
-    server-models.cpp
-    server-models.h
-)
-set(PUBLIC_ASSETS
-    index.html.gz
-    loading.html
-)
-
-foreach(asset ${PUBLIC_ASSETS})
-    set(input "${CMAKE_CURRENT_SOURCE_DIR}/public/${asset}")
-    set(output "${CMAKE_CURRENT_BINARY_DIR}/${asset}.hpp")
-    list(APPEND TARGET_SRCS ${output})
-    add_custom_command(
-        DEPENDS "${input}"
-        OUTPUT "${output}"
-        COMMAND "${CMAKE_COMMAND}" "-DINPUT=${input}" "-DOUTPUT=${output}" -P "${PROJECT_SOURCE_DIR}/scripts/xxd.cmake"
-    )
-    set_source_files_properties(${output} PROPERTIES GENERATED TRUE)
-endforeach()
-
-add_executable(${TARGET} ${TARGET_SRCS})
-install(TARGETS ${TARGET} RUNTIME)
-
-target_include_directories(${TARGET} PRIVATE ../mtmd)
-target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
-target_link_libraries(${TARGET} PRIVATE server-context PUBLIC common cpp-httplib ${CMAKE_THREAD_LIBS_INIT})
-
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2a778e81d8d562093426f96bf8c4daea87146260a51cdb2a8a67acbce146dcc
+size 2109
diff --git a/tools/server/README-dev.md b/tools/server/README-dev.md
index 3fea3042f725c88bca6e16c88e45d4204f1d64dd..bf44e6eb0cc9afc31afa500482dc82cb3b74effb 100644
--- a/tools/server/README-dev.md
+++ b/tools/server/README-dev.md
@@ -1,179 +1,3 @@
-# llama-server Development Documentation
-
-This document provides an in-depth technical overview of `llama-server`, intended for maintainers and contributors.
-
-If you are an end user consuming `llama-server` as a product, please refer to the main [README](./README.md) instead.
-
-## Backend
-
-### Overview
-
-The server supports two primary operating modes:
-
-- **Inference mode**: The default mode for performing inference with a single loaded GGUF model.
-- **Router mode**: Enables management of multiple inference server instances behind a single API endpoint. Requests are automatically routed to the appropriate backend instance based on the requested model.
-
-The core architecture consists of the following components:
-
-- `server_context`: Holds the primary inference state, including the main `llama_context` and all active slots.
-- `server_slot`: An abstraction over a single “sequence” in llama.cpp, responsible for managing individual parallel inference requests.
-- `server_routes`: Middleware layer between `server_context` and the HTTP interface; handles JSON parsing/formatting and request routing logic.
-- `server_http_context`: Implements the HTTP server using `cpp-httplib`.
-- `server_queue`: Thread-safe queue used by HTTP workers to submit new tasks to `server_context`.
-- `server_response`: Thread-safe queue used by `server_context` to return results to HTTP workers.
-- `server_response_reader`: Higher-level wrapper around the two queues above for cleaner code.
-- `server_task`: Unit of work pushed into `server_queue`.
-- `server_task_result`: Unit of result pushed into `server_response`.
-- `server_tokens`: Unified representation of token sequences (supports both text and multimodal tokens); used by `server_task` and `server_slot`.
-- `server_prompt_checkpoint`: For recurrent (e.g., RWKV) and SWA models, stores snapshots of KV cache state. Enables reuse when subsequent requests share the same prompt prefix, saving redundant computation.
-- `server_models`: Standalone component for managing multiple backend instances (used in router mode). It is completely independent of `server_context`.
-
-```mermaid
-graph TD
-    API_User <--> server_http_context
-    server_http_context <-- router mode --> server_models
-    server_http_context <-- inference mode --> server_routes
-    server_routes -- server_task --> server_queue
-    subgraph server_context
-        server_queue --> server_slot
-        server_slot -- server_task_result --> server_response
-        server_slot[multiple server_slot]
-    end
-    server_response --> server_routes
-```
-
-### Batching
-
-The server context maintains a single batch shared across all slots. When `update_slots()` is invoked, the system iterates through all active slots to populate this batch. For each slot, either a generated token from the previous decoding step or available prompt tokens are added to the batch.
-
-Batching constraints apply: slots can only be batched together if they share compatible configurations. For instance, slots using a specific LoRA adapter can be batched with each other, but not with slots using a different LoRA adapter or no adapter at all.
-
-Once the batch reaches capacity or all slots have been processed, `llama_decode` is called to execute the inference. This operation represents the primary computational bottleneck in `update_slots()`.
-
-Following decoding, the system either retrieves embeddings or samples the next token using `common_sampler_sample`. If a slot has remaining prompt tokens to process, it yields until the next `update_slots()` iteration.
-
-### Thread Management
-
-`server_context` runs on a dedicated single thread. Because it is single-threaded, heavy post-processing (especially after token generation) should be avoided, as it directly impacts multi-sequence throughput.
-
-Each incoming HTTP request is handled by its own thread managed by the HTTP library. The following operations are performed in HTTP worker threads:
-
-- JSON request parsing
-- Chat template application
-- Tokenization
-- Conversion of `server_task_result` into final JSON response
-- Error formatting into JSON
-- Tracking of partial/incremental responses (e.g., streaming tool calls or reasoning steps)
-
-**Best practices to follow:**
-
-- All JSON formatting and chat template logic must stay in the HTTP layer.
-- Avoid passing raw JSON between the HTTP layer and `server_slot`. Instead, parse everything into native C++ types as early as possible.
-
-### Example trace of a request
-
-Here is an example trace of an API request for text completion:
-
-- A request arrives at the HTTP layer.
-- The request is routed to the corresponding handler inside `server_routes`. In this case, `handle_completions_impl` is invoked.
-- The handler parses the input request, constructs a new `server_task`, and passes it to `server_res_generator`.
-- `server_res_generator` creates a new `task_result_state` for each task:
-    - `task_result_state` stays in the HTTP layer, responsible for keeping track of the current state of the response (e.g., parsing tool calls or thinking messages).
-    - `server_task` is moved into `server_queue` inside `server_context`.
-- `server_context` launches the task by moving it into an available slot (see `launch_slot_with_task()`).
-- `update_slot()` processes the task as described in the "Batching" section above.
-- Results may be sent using `send_partial_response` or `send_final_response`, which creates a new `server_task_result` and pushes it to the response queue.
-- At the same time, `server_res_generator` listens to the response queue and retrieves this response.
-- As the response is stateless, `server_res_generator` calls `response->update()` to update the response with the current state.
-- `server_res_generator` then calls `response->to_json()` and passes the response to the HTTP layer.
-
-### Testing
-
-`llama-server` includes an automated test suite based on `pytest`.
-
-The framework automatically starts a `llama-server` instance, sends requests, and validates responses.
-
-For detailed instructions, see the [test documentation](./tests/README.md).
-
-### Notable Related PRs
-
-- Initial server implementation: https://github.com/ggml-org/llama.cpp/pull/1443
-- Parallel decoding support: https://github.com/ggml-org/llama.cpp/pull/3228
-- Refactor introducing `server_queue` and `server_response`: https://github.com/ggml-org/llama.cpp/pull/5065
-- Reranking endpoint: https://github.com/ggml-org/llama.cpp/pull/9510
-- Multimodal model support (`libmtmd`): https://github.com/ggml-org/llama.cpp/pull/12898
-- Unified KV cache handling: https://github.com/ggml-org/llama.cpp/pull/16736
-- Separation of HTTP logic into dedicated files: https://github.com/ggml-org/llama.cpp/pull/17216
-- Large-scale code base split into smaller files: https://github.com/ggml-org/llama.cpp/pull/17362
-- Introduction of router mode: https://github.com/ggml-org/llama.cpp/pull/17470
-- Speculative decoding: https://github.com/ggml-org/llama.cpp/pull/17808 and rework in https://github.com/ggml-org/llama.cpp/pull/17808
-- INI presets: https://github.com/ggml-org/llama.cpp/pull/17859 (+ refactoring: https://github.com/ggml-org/llama.cpp/pull/18169)
-- Sleeping mode: https://github.com/ggml-org/llama.cpp/pull/18228
-
-
-
-
-## Web UI
-
-The project includes a web-based user interface for interacting with `llama-server`. It supports both single-model (`MODEL` mode) and multi-model (`ROUTER` mode) operation.
-
-The SvelteKit-based Web UI is introduced in this PR: https://github.com/ggml-org/llama.cpp/pull/14839
-
-### Features
-
--   **Chat interface** with streaming responses
--   **Multi-model support** (ROUTER mode) - switch between models, auto-load on selection
--   **Modality validation** - ensures selected model supports conversation's attachments (images, audio)
--   **Conversation management** - branching, regeneration, editing with history preservation
--   **Attachment support** - images, audio, PDFs (with vision/text fallback)
--   **Configurable parameters** - temperature, top_p, etc. synced with server defaults
--   **Dark/light theme**
-
-### Tech Stack
-
--   **SvelteKit** - frontend framework with Svelte 5 runes for reactive state
--   **TailwindCSS** + **shadcn-svelte** - styling and UI components
--   **Vite** - build tooling
--   **IndexedDB** (Dexie) - local storage for conversations
--   **LocalStorage** - user settings persistence
-
-### Architecture
-
-The WebUI follows a layered architecture:
-
-```
-Routes → Components → Hooks → Stores → Services → Storage/API
-```
-
--   **Stores** - reactive state management (`chatStore`, `conversationsStore`, `modelsStore`, `serverStore`, `settingsStore`)
--   **Services** - stateless API/database communication (`ChatService`, `ModelsService`, `PropsService`, `DatabaseService`)
--   **Hooks** - reusable logic (`useModelChangeValidation`, `useProcessingState`)
-
-For detailed architecture diagrams, see [`tools/server/webui/docs/`](webui/docs/):
-
--   `high-level-architecture.mmd` - full architecture with all modules
--   `high-level-architecture-simplified.mmd` - simplified overview
--   `data-flow-simplified-model-mode.mmd` - data flow for single-model mode
--   `data-flow-simplified-router-mode.mmd` - data flow for multi-model mode
--   `flows/*.mmd` - detailed per-domain flows (chat, conversations, models, etc.)
-
-### Development
-
-```sh
-# make sure you have Node.js installed
-cd tools/server/webui
-npm i
-
-# run dev server (with hot reload)
-npm run dev
-
-# run tests
-npm run test
-
-# build production bundle
-npm run build
-```
-
-After `public/index.html.gz` has been generated, rebuild `llama-server` as described in the [build](#build) section to include the updated UI.
-
-**Note:** The Vite dev server automatically proxies API requests to `http://localhost:8080`. Make sure `llama-server` is running on that port during development.
+version https://git-lfs.github.com/spec/v1
+oid sha256:805e8c1fc30105f94affb1585737f5db3c1a330e5eb9f533d5d9335c6a2b2dbb
+size 13484
diff --git a/tools/server/README.md b/tools/server/README.md
index da16ddc756eb458a45d7a1a66de51ffa4a6823d5..9b15c48f0f8e69b51d33e6d74dcf59d5acaa0272 100644
--- a/tools/server/README.md
+++ b/tools/server/README.md
@@ -1,1789 +1,3 @@
-# LLaMA.cpp HTTP Server
-
-Fast, lightweight, pure C/C++ HTTP server based on [httplib](https://github.com/yhirose/cpp-httplib), [nlohmann::json](https://github.com/nlohmann/json) and **llama.cpp**.
-
-Set of LLM REST APIs and a web UI to interact with llama.cpp.
-
-**Features:**
- * LLM inference of F16 and quantized models on GPU and CPU
- * [OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions, responses, and embeddings routes
- * [Anthropic Messages API](https://docs.anthropic.com/en/api/messages) compatible chat completions
- * Reranking endpoint (https://github.com/ggml-org/llama.cpp/pull/9510)
- * Parallel decoding with multi-user support
- * Continuous batching
- * Multimodal ([documentation](../../docs/multimodal.md)) / with OpenAI-compatible API support
- * Monitoring endpoints
- * Schema-constrained JSON response format
- * Prefilling of assistant messages similar to the Claude API
- * [Function calling](../../docs/function-calling.md) / tool use for ~any model
- * Speculative decoding
- * Easy-to-use web UI
-
-For the full list of features, please refer to [server's changelog](https://github.com/ggml-org/llama.cpp/issues/9291)
-
-## Usage
-
-<!-- HELP_START -->
-
-<!-- IMPORTANT: The list below is auto-generated by llama-gen-docs; do NOT modify it manually -->
-
-### Common params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `-h, --help, --usage` | print usage and exit |
-| `--version` | show version and build info |
-| `--license` | show source code license and dependencies |
-| `-cl, --cache-list` | show list of models in cache |
-| `--completion-bash` | print source-able bash completion script for llama.cpp |
-| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
-| `-t, --threads N` | number of CPU threads to use during generation (default: -1)<br/>(env: LLAMA_ARG_THREADS) |
-| `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) |
-| `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") |
-| `-Cr, --cpu-range lo-hi` | range of CPUs for affinity. Complements --cpu-mask |
-| `--cpu-strict <0\|1>` | use strict CPU placement (default: 0) |
-| `--prio N` | set process/thread priority : low(-1), normal(0), medium(1), high(2), realtime(3) (default: 0) |
-| `--poll <0...100>` | use polling level to wait for work (0 - no polling, default: 50) |
-| `-Cb, --cpu-mask-batch M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range-batch (default: same as --cpu-mask) |
-| `-Crb, --cpu-range-batch lo-hi` | ranges of CPUs for affinity. Complements --cpu-mask-batch |
-| `--cpu-strict-batch <0\|1>` | use strict CPU placement (default: same as --cpu-strict) |
-| `--prio-batch N` | set process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
-| `--poll-batch <0\|1>` | use polling to wait for work (default: same as --poll) |
-| `-c, --ctx-size N` | size of the prompt context (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE) |
-| `-n, --predict, --n-predict N` | number of tokens to predict (default: -1, -1 = infinity)<br/>(env: LLAMA_ARG_N_PREDICT) |
-| `-b, --batch-size N` | logical maximum batch size (default: 2048)<br/>(env: LLAMA_ARG_BATCH) |
-| `-ub, --ubatch-size N` | physical maximum batch size (default: 512)<br/>(env: LLAMA_ARG_UBATCH) |
-| `--keep N` | number of tokens to keep from the initial prompt (default: 0, -1 = all) |
-| `--swa-full` | use full-size SWA cache (default: false)<br/>[(more info)](https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)<br/>(env: LLAMA_ARG_SWA_FULL) |
-| `-fa, --flash-attn [on\|off\|auto]` | set Flash Attention use ('on', 'off', or 'auto', default: 'auto')<br/>(env: LLAMA_ARG_FLASH_ATTN) |
-| `--perf, --no-perf` | whether to enable internal libllama performance timings (default: false)<br/>(env: LLAMA_ARG_PERF) |
-| `-e, --escape, --no-escape` | whether to process escapes sequences (\n, \r, \t, \', \", \\) (default: true) |
-| `--rope-scaling {none,linear,yarn}` | RoPE frequency scaling method, defaults to linear unless specified by the model<br/>(env: LLAMA_ARG_ROPE_SCALING_TYPE) |
-| `--rope-scale N` | RoPE context scaling factor, expands context by a factor of N<br/>(env: LLAMA_ARG_ROPE_SCALE) |
-| `--rope-freq-base N` | RoPE base frequency, used by NTK-aware scaling (default: loaded from model)<br/>(env: LLAMA_ARG_ROPE_FREQ_BASE) |
-| `--rope-freq-scale N` | RoPE frequency scaling factor, expands context by a factor of 1/N<br/>(env: LLAMA_ARG_ROPE_FREQ_SCALE) |
-| `--yarn-orig-ctx N` | YaRN: original context size of model (default: 0 = model training context size)<br/>(env: LLAMA_ARG_YARN_ORIG_CTX) |
-| `--yarn-ext-factor N` | YaRN: extrapolation mix factor (default: -1.00, 0.0 = full interpolation)<br/>(env: LLAMA_ARG_YARN_EXT_FACTOR) |
-| `--yarn-attn-factor N` | YaRN: scale sqrt(t) or attention magnitude (default: -1.00)<br/>(env: LLAMA_ARG_YARN_ATTN_FACTOR) |
-| `--yarn-beta-slow N` | YaRN: high correction dim or alpha (default: -1.00)<br/>(env: LLAMA_ARG_YARN_BETA_SLOW) |
-| `--yarn-beta-fast N` | YaRN: low correction dim or beta (default: -1.00)<br/>(env: LLAMA_ARG_YARN_BETA_FAST) |
-| `-kvo, --kv-offload, -nkvo, --no-kv-offload` | whether to enable KV cache offloading (default: enabled)<br/>(env: LLAMA_ARG_KV_OFFLOAD) |
-| `--repack, -nr, --no-repack` | whether to enable weight repacking (default: enabled)<br/>(env: LLAMA_ARG_REPACK) |
-| `--no-host` | bypass host buffer allowing extra buffers to be used<br/>(env: LLAMA_ARG_NO_HOST) |
-| `-ctk, --cache-type-k TYPE` | KV cache data type for K<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K) |
-| `-ctv, --cache-type-v TYPE` | KV cache data type for V<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V) |
-| `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
-| `--mlock` | force system to keep model in RAM rather than swapping or compressing<br/>(env: LLAMA_ARG_MLOCK) |
-| `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
-| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)<br/>(env: LLAMA_ARG_DIO) |
-| `--numa TYPE` | attempt optimizations that help on some NUMA systems<br/>- distribute: spread execution evenly over all nodes<br/>- isolate: only spawn threads on CPUs on the node that execution started on<br/>- numactl: use the CPU map provided by numactl<br/>if run without this previously, it is recommended to drop the system page cache before using this<br/>see https://github.com/ggml-org/llama.cpp/issues/1437<br/>(env: LLAMA_ARG_NUMA) |
-| `-dev, --device <dev1,dev2,..>` | comma-separated list of devices to use for offloading (none = don't offload)<br/>use --list-devices to see a list of available devices<br/>(env: LLAMA_ARG_DEVICE) |
-| `--list-devices` | print list of available devices and exit |
-| `-ot, --override-tensor <tensor name pattern>=<buffer type>,...` | override tensor buffer type<br/>(env: LLAMA_ARG_OVERRIDE_TENSOR) |
-| `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU<br/>(env: LLAMA_ARG_CPU_MOE) |
-| `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU<br/>(env: LLAMA_ARG_N_CPU_MOE) |
-| `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS) |
-| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs<br/>- row: split rows across GPUs<br/>(env: LLAMA_ARG_SPLIT_MODE) |
-| `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1<br/>(env: LLAMA_ARG_TENSOR_SPLIT) |
-| `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)<br/>(env: LLAMA_ARG_MAIN_GPU) |
-| `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')<br/>(env: LLAMA_ARG_FIT) |
-| `-fitt, --fit-target MiB0,MiB1,MiB2,...` | target margin per device for --fit, comma-separated list of values, single value is broadcast across all devices, default: 1024<br/>(env: LLAMA_ARG_FIT_TARGET) |
-| `-fitc, --fit-ctx N` | minimum ctx size that can be set by --fit option, default: 4096<br/>(env: LLAMA_ARG_FIT_CTX) |
-| `--check-tensors` | check model tensor data for invalid values (default: false) |
-| `--override-kv KEY=TYPE:VALUE,...` | advanced option to override model metadata by key. to specify multiple overrides, either use comma-separated values.<br/>types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false,tokenizer.ggml.add_eos_token=bool:false |
-| `--op-offload, --no-op-offload` | whether to offload host tensor operations to device (default: true) |
-| `--lora FNAME` | path to LoRA adapter (use comma-separated values to load multiple adapters) |
-| `--lora-scaled FNAME:SCALE,...` | path to LoRA adapter with user defined scaling (format: FNAME:SCALE,...)<br/>note: use comma-separated values |
-| `--control-vector FNAME` | add a control vector<br/>note: use comma-separated values to add multiple control vectors |
-| `--control-vector-scaled FNAME:SCALE,...` | add a control vector with user defined scaling SCALE<br/>note: use comma-separated values (format: FNAME:SCALE,...) |
-| `--control-vector-layer-range START END` | layer range to apply the control vector(s) to, start and end inclusive |
-| `-m, --model FNAME` | model path to load<br/>(env: LLAMA_ARG_MODEL) |
-| `-mu, --model-url MODEL_URL` | model download url (default: unused)<br/>(env: LLAMA_ARG_MODEL_URL) |
-| `-dr, --docker-repo [<repo>/]<model>[:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.<br/>example: gemma3<br/>(default: unused)<br/>(env: LLAMA_ARG_DOCKER_REPO) |
-| `-hf, -hfr, --hf-repo <user>/<model>[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.<br/>mmproj is also downloaded automatically if available. to disable, add --no-mmproj<br/>example: unsloth/phi-4-GGUF:q4_k_m<br/>(default: unused)<br/>(env: LLAMA_ARG_HF_REPO) |
-| `-hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_HFD_REPO) |
-| `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)<br/>(env: LLAMA_ARG_HF_FILE) |
-| `-hfv, -hfrv, --hf-repo-v <user>/<model>[:quant]` | Hugging Face model repository for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_REPO_V) |
-| `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_FILE_V) |
-| `-hft, --hf-token TOKEN` | Hugging Face access token (default: value from HF_TOKEN environment variable)<br/>(env: HF_TOKEN) |
-| `--log-disable` | Log disable |
-| `--log-file FNAME` | Log to file<br/>(env: LLAMA_LOG_FILE) |
-| `--log-colors [on\|off\|auto]` | Set colored logging ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal<br/>(env: LLAMA_LOG_COLORS) |
-| `-v, --verbose, --log-verbose` | Set verbosity level to infinity (i.e. log all messages, useful for debugging) |
-| `--offline` | Offline mode: forces use of cache, prevents network access<br/>(env: LLAMA_OFFLINE) |
-| `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:<br/> - 0: generic output<br/> - 1: error<br/> - 2: warning<br/> - 3: info<br/> - 4: debug<br/>(default: 3)<br/><br/>(env: LLAMA_LOG_VERBOSITY) |
-| `--log-prefix` | Enable prefix in log messages<br/>(env: LLAMA_LOG_PREFIX) |
-| `--log-timestamps` | Enable timestamps in log messages<br/>(env: LLAMA_LOG_TIMESTAMPS) |
-| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) |
-| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) |
-
-
-### Sampling params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `--samplers SAMPLERS` | samplers that will be used for generation in the order, separated by ';'<br/>(default: penalties;dry;top_n_sigma;top_k;typ_p;top_p;min_p;xtc;temperature) |
-| `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
-| `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
-| `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
-| `--temp, --temperature N` | temperature (default: 0.80) |
-| `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
-| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
-| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
-| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
-| `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
-| `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
-| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
-| `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) |
-| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
-| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
-| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled) |
-| `--dry-multiplier N` | set DRY sampling multiplier (default: 0.00, 0.0 = disabled) |
-| `--dry-base N` | set DRY sampling base value (default: 1.75) |
-| `--dry-allowed-length N` | set allowed length for DRY sampling (default: 2) |
-| `--dry-penalty-last-n N` | set DRY penalty for the last n tokens (default: -1, 0 = disable, -1 = context size) |
-| `--dry-sequence-breaker STRING` | add sequence breaker for DRY sampling, clearing out default breakers ('\n', ':', '"', '*') in the process; use "none" to not use any sequence breakers |
-| `--adaptive-target N` | adaptive-p: select tokens near this probability (valid range 0.0 to 1.0; negative = disabled) (default: -1.00)<br/>[(more info)](https://github.com/ggml-org/llama.cpp/pull/17927) |
-| `--adaptive-decay N` | adaptive-p: decay rate for target adaptation over time. lower values are more reactive, higher values are more stable.<br/>(valid range 0.0 to 0.99) (default: 0.90) |
-| `--dynatemp-range N` | dynamic temperature range (default: 0.00, 0.0 = disabled) |
-| `--dynatemp-exp N` | dynamic temperature exponent (default: 1.00) |
-| `--mirostat N` | use Mirostat sampling.<br/>Top K, Nucleus and Locally Typical samplers are ignored if used.<br/>(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) |
-| `--mirostat-lr N` | Mirostat learning rate, parameter eta (default: 0.10) |
-| `--mirostat-ent N` | Mirostat target entropy, parameter tau (default: 5.00) |
-| `-l, --logit-bias TOKEN_ID(+/-)BIAS` | modifies the likelihood of token appearing in the completion,<br/>i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',<br/>or `--logit-bias 15043-1` to decrease likelihood of token ' Hello' |
-| `--grammar GRAMMAR` | BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '') |
-| `--grammar-file FNAME` | file to read grammar from |
-| `-j, --json-schema SCHEMA` | JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object<br/>For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead |
-| `-jf, --json-schema-file FILE` | File containing a JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object<br/>For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead |
-| `-bs, --backend-sampling` | enable backend sampling (experimental) (default: disabled)<br/>(env: LLAMA_ARG_BACKEND_SAMPLING) |
-
-
-### Server-specific params
-
-| Argument | Explanation |
-| -------- | ----------- |
-| `-lcs, --lookup-cache-static FNAME` | path to static lookup cache to use for lookup decoding (not updated by generation) |
-| `-lcd, --lookup-cache-dynamic FNAME` | path to dynamic lookup cache to use for lookup decoding (updated by generation) |
-| `--ctx-checkpoints, --swa-checkpoints N` | max number of context checkpoints to create per slot (default: 8)[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293)<br/>(env: LLAMA_ARG_CTX_CHECKPOINTS) |
-| `-cram, --cache-ram N` | set the maximum cache size in MiB (default: 8192, -1 - no limit, 0 - disable)[(more info)](https://github.com/ggml-org/llama.cpp/pull/16391)<br/>(env: LLAMA_ARG_CACHE_RAM) |
-| `-kvu, --kv-unified, -no-kvu, --no-kv-unified` | use single unified KV buffer shared across all sequences (default: enabled if number of slots is auto)<br/>(env: LLAMA_ARG_KV_UNIFIED) |
-| `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)<br/>(env: LLAMA_ARG_CONTEXT_SHIFT) |
-| `-r, --reverse-prompt PROMPT` | halt generation at PROMPT, return control in interactive mode |
-| `-sp, --special` | special tokens output enabled (default: false) |
-| `--warmup, --no-warmup` | whether to perform warmup with an empty run (default: enabled) |
-| `--spm-infill` | use Suffix/Prefix/Middle pattern for infill (instead of Prefix/Suffix/Middle) as some models prefer this. (default: disabled) |
-| `--pooling {none,mean,cls,last,rank}` | pooling type for embeddings, use model default if unspecified<br/>(env: LLAMA_ARG_POOLING) |
-| `-np, --parallel N` | number of server slots (default: -1, -1 = auto)<br/>(env: LLAMA_ARG_N_PARALLEL) |
-| `-cb, --cont-batching, -nocb, --no-cont-batching` | whether to enable continuous batching (a.k.a dynamic batching) (default: enabled)<br/>(env: LLAMA_ARG_CONT_BATCHING) |
-| `-mm, --mmproj FILE` | path to a multimodal projector file. see tools/mtmd/README.md<br/>note: if -hf is used, this argument can be omitted<br/>(env: LLAMA_ARG_MMPROJ) |
-| `-mmu, --mmproj-url URL` | URL to a multimodal projector file. see tools/mtmd/README.md<br/>(env: LLAMA_ARG_MMPROJ_URL) |
-| `--mmproj-auto, --no-mmproj, --no-mmproj-auto` | whether to use multimodal projector file (if available), useful when using -hf (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_AUTO) |
-| `--mmproj-offload, --no-mmproj-offload` | whether to enable GPU offloading for multimodal projector (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_OFFLOAD) |
-| `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MIN_TOKENS) |
-| `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MAX_TOKENS) |
-| `-otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
-| `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_CPU_MOE_DRAFT) |
-| `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_N_CPU_MOE_DRAFT) |
-| `-a, --alias STRING` | set model name aliases, comma-separated (to be used by API)<br/>(env: LLAMA_ARG_ALIAS) |
-| `--tags STRING` | set model tags, comma-separated (informational, not used for routing)<br/>(env: LLAMA_ARG_TAGS) |
-| `--host HOST` | ip address to listen, or bind to an UNIX socket if the address ends with .sock (default: 127.0.0.1)<br/>(env: LLAMA_ARG_HOST) |
-| `--port PORT` | port to listen (default: 8080)<br/>(env: LLAMA_ARG_PORT) |
-| `--path PATH` | path to serve static files from (default: )<br/>(env: LLAMA_ARG_STATIC_PATH) |
-| `--api-prefix PREFIX` | prefix path the server serves from, without the trailing slash (default: )<br/>(env: LLAMA_ARG_API_PREFIX) |
-| `--webui-config JSON` | JSON that provides default WebUI settings (overrides WebUI defaults)<br/>(env: LLAMA_ARG_WEBUI_CONFIG) |
-| `--webui-config-file PATH` | JSON file that provides default WebUI settings (overrides WebUI defaults)<br/>(env: LLAMA_ARG_WEBUI_CONFIG_FILE) |
-| `--webui, --no-webui` | whether to enable the Web UI (default: enabled)<br/>(env: LLAMA_ARG_WEBUI) |
-| `--embedding, --embeddings` | restrict to only support embedding use case; use only with dedicated embedding models (default: disabled)<br/>(env: LLAMA_ARG_EMBEDDINGS) |
-| `--rerank, --reranking` | enable reranking endpoint on server (default: disabled)<br/>(env: LLAMA_ARG_RERANKING) |
-| `--api-key KEY` | API key to use for authentication, multiple keys can be provided as a comma-separated list (default: none)<br/>(env: LLAMA_API_KEY) |
-| `--api-key-file FNAME` | path to file containing API keys (default: none) |
-| `--ssl-key-file FNAME` | path to file a PEM-encoded SSL private key<br/>(env: LLAMA_ARG_SSL_KEY_FILE) |
-| `--ssl-cert-file FNAME` | path to file a PEM-encoded SSL certificate<br/>(env: LLAMA_ARG_SSL_CERT_FILE) |
-| `--chat-template-kwargs STRING` | sets additional params for the json template parser, must be a valid json object string, e.g. '{"key1":"value1","key2":"value2"}'<br/>(env: LLAMA_CHAT_TEMPLATE_KWARGS) |
-| `-to, --timeout N` | server read/write timeout in seconds (default: 600)<br/>(env: LLAMA_ARG_TIMEOUT) |
-| `--threads-http N` | number of threads used to process HTTP requests (default: -1)<br/>(env: LLAMA_ARG_THREADS_HTTP) |
-| `--cache-prompt, --no-cache-prompt` | whether to enable prompt caching (default: enabled)<br/>(env: LLAMA_ARG_CACHE_PROMPT) |
-| `--cache-reuse N` | min chunk size to attempt reusing from the cache via KV shifting, requires prompt caching to be enabled (default: 0)<br/>[(card)](https://ggml.ai/f0.png)<br/>(env: LLAMA_ARG_CACHE_REUSE) |
-| `--metrics` | enable prometheus compatible metrics endpoint (default: disabled)<br/>(env: LLAMA_ARG_ENDPOINT_METRICS) |
-| `--props` | enable changing global properties via POST /props (default: disabled)<br/>(env: LLAMA_ARG_ENDPOINT_PROPS) |
-| `--slots, --no-slots` | expose slots monitoring endpoint (default: enabled)<br/>(env: LLAMA_ARG_ENDPOINT_SLOTS) |
-| `--slot-save-path PATH` | path to save slot kv cache (default: disabled) |
-| `--media-path PATH` | directory for loading local media files; files can be accessed via file:// URLs using relative paths (default: disabled) |
-| `--models-dir PATH` | directory containing models for the router server (default: disabled)<br/>(env: LLAMA_ARG_MODELS_DIR) |
-| `--models-preset PATH` | path to INI file containing model presets for the router server (default: disabled)<br/>(env: LLAMA_ARG_MODELS_PRESET) |
-| `--models-max N` | for router server, maximum number of models to load simultaneously (default: 4, 0 = unlimited)<br/>(env: LLAMA_ARG_MODELS_MAX) |
-| `--models-autoload, --no-models-autoload` | for router server, whether to automatically load models (default: enabled)<br/>(env: LLAMA_ARG_MODELS_AUTOLOAD) |
-| `--jinja, --no-jinja` | whether to use jinja template engine for chat (default: enabled)<br/>(env: LLAMA_ARG_JINJA) |
-| `--reasoning-format FORMAT` | controls whether thought tags are allowed and/or extracted from the response, and in which format they're returned; one of:<br/>- none: leaves thoughts unparsed in `message.content`<br/>- deepseek: puts thoughts in `message.reasoning_content`<br/>- deepseek-legacy: keeps `<think>` tags in `message.content` while also populating `message.reasoning_content`<br/>(default: auto)<br/>(env: LLAMA_ARG_THINK) |
-| `--reasoning-budget N` | controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)<br/>(env: LLAMA_ARG_THINK_BUDGET) |
-| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
-| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
-| `--prefill-assistant, --no-prefill-assistant` | whether to prefill the assistant's response if the last message is an assistant message (default: prefill enabled)<br/>when this flag is set, if the last message is an assistant message then it will be treated as a full message and not prefilled<br/><br/>(env: LLAMA_ARG_PREFILL_ASSISTANT) |
-| `-sps, --slot-prompt-similarity SIMILARITY` | how much the prompt of a request must match the prompt of a slot in order to use that slot (default: 0.10, 0.0 = disabled) |
-| `--lora-init-without-apply` | load LoRA adapters without applying them (apply later via POST /lora-adapters) (default: disabled) |
-| `--sleep-idle-seconds SECONDS` | number of seconds of idleness after which the server will sleep (default: -1; -1 = disabled) |
-| `-td, --threads-draft N` | number of threads to use during generation (default: same as --threads) |
-| `-tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) |
-| `--draft, --draft-n, --draft-max N` | number of tokens to draft for speculative decoding (default: 16)<br/>(env: LLAMA_ARG_DRAFT_MAX) |
-| `--draft-min, --draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)<br/>(env: LLAMA_ARG_DRAFT_MIN) |
-| `--draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)<br/>(env: LLAMA_ARG_DRAFT_P_MIN) |
-| `-cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE_DRAFT) |
-| `-devd, --device-draft <dev1,dev2,..>` | comma-separated list of devices to use for offloading the draft model (none = don't offload)<br/>use --list-devices to see a list of available devices |
-| `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
-| `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_MODEL_DRAFT) |
-| `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
-| `--spec-type [none\|ngram-cache\|ngram-simple\|ngram-map-k\|ngram-map-k4v\|ngram-mod]` | type of speculative decoding to use when no draft model is provided (default: none) |
-| `--spec-ngram-size-n N` | ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: 12) |
-| `--spec-ngram-size-m N` | ngram size M for ngram-simple/ngram-map speculative decoding, length of draft m-gram (default: 48) |
-| `--spec-ngram-min-hits N` | minimum hits for ngram-map speculative decoding (default: 1) |
-| `-mv, --model-vocoder FNAME` | vocoder model for audio generation (default: unused) |
-| `--tts-use-guide-tokens` | Use guide tokens to improve TTS word recall |
-| `--embd-gemma-default` | use default EmbeddingGemma model (note: can download weights from the internet) |
-| `--fim-qwen-1.5b-default` | use default Qwen 2.5 Coder 1.5B (note: can download weights from the internet) |
-| `--fim-qwen-3b-default` | use default Qwen 2.5 Coder 3B (note: can download weights from the internet) |
-| `--fim-qwen-7b-default` | use default Qwen 2.5 Coder 7B (note: can download weights from the internet) |
-| `--fim-qwen-7b-spec` | use Qwen 2.5 Coder 7B + 0.5B draft for speculative decoding (note: can download weights from the internet) |
-| `--fim-qwen-14b-spec` | use Qwen 2.5 Coder 14B + 0.5B draft for speculative decoding (note: can download weights from the internet) |
-| `--fim-qwen-30b-default` | use default Qwen 3 Coder 30B A3B Instruct (note: can download weights from the internet) |
-| `--gpt-oss-20b-default` | use gpt-oss-20b (note: can download weights from the internet) |
-| `--gpt-oss-120b-default` | use gpt-oss-120b (note: can download weights from the internet) |
-| `--vision-gemma-4b-default` | use Gemma 3 4B QAT (note: can download weights from the internet) |
-| `--vision-gemma-12b-default` | use Gemma 3 12B QAT (note: can download weights from the internet) |
-
-<!-- HELP_END -->
-
-Note: If both command line argument and environment variable are both set for the same param, the argument will take precedence over env var.
-
-For boolean options like `--mmap` or `--kv-offload`, the environment variable is handled as shown in this example:
-- `LLAMA_ARG_MMAP=true` means enabled, other accepted values are: `1`, `on`, `enabled`
-- `LLAMA_ARG_MMAP=false` means disabled, other accepted values are: `0`, `off`, `disabled`
-- If `LLAMA_ARG_NO_MMAP` is present (no matter the value), it means disabling mmap
-
-Example usage of docker compose with environment variables:
-
-```yml
-services:
-  llamacpp-server:
-    image: ghcr.io/ggml-org/llama.cpp:server
-    ports:
-      - 8080:8080
-    volumes:
-      - ./models:/models
-    environment:
-      # alternatively, you can use "LLAMA_ARG_MODEL_URL" to download the model
-      LLAMA_ARG_MODEL: /models/my_model.gguf
-      LLAMA_ARG_CTX_SIZE: 4096
-      LLAMA_ARG_N_PARALLEL: 2
-      LLAMA_ARG_ENDPOINT_METRICS: 1
-      LLAMA_ARG_PORT: 8080
-```
-
-### Multimodal support
-
-Multimodal support was added in [#12898](https://github.com/ggml-org/llama.cpp/pull/12898) and is currently an experimental feature.
-It is currently available in the following endpoints:
-- The OAI-compatible chat endpoint.
-- The non-OAI-compatible completions endpoint.
-- The non-OAI-compatible embeddings endpoint.
-
-For more details, please refer to [multimodal documentation](../../docs/multimodal.md)
-
-## Build
-
-`llama-server` is built alongside everything else from the root of the project
-
-- Using `CMake`:
-
-  ```bash
-  cmake -B build
-  cmake --build build --config Release -t llama-server
-  ```
-
-  Binary is at `./build/bin/llama-server`
-
-## Build with SSL
-
-`llama-server` can also be built with SSL support using OpenSSL 3
-
-- Using `CMake`:
-
-  ```bash
-  cmake -B build -DLLAMA_OPENSSL=ON
-  cmake --build build --config Release -t llama-server
-  ```
-
-## Quick Start
-
-To get started right away, run the following command, making sure to use the correct path for the model you have:
-
-### Unix-based systems (Linux, macOS, etc.)
-
-```bash
-./llama-server -m models/7B/ggml-model.gguf -c 2048
-```
-
-### Windows
-
-```powershell
-llama-server.exe -m models\7B\ggml-model.gguf -c 2048
-```
-
-The above command will start a server that by default listens on `127.0.0.1:8080`.
-You can consume the endpoints with Postman or NodeJS with axios library. You can visit the web front end at the same url.
-
-### Docker
-
-```bash
-docker run -p 8080:8080 -v /path/to/models:/models ghcr.io/ggml-org/llama.cpp:server -m models/7B/ggml-model.gguf -c 512 --host 0.0.0.0 --port 8080
-
-# or, with CUDA:
-docker run -p 8080:8080 -v /path/to/models:/models --gpus all ghcr.io/ggml-org/llama.cpp:server-cuda -m models/7B/ggml-model.gguf -c 512 --host 0.0.0.0 --port 8080 --n-gpu-layers 99
-```
-
-## Using with CURL
-
-Using [curl](https://curl.se/). On Windows, `curl.exe` should be available in the base OS.
-
-```sh
-curl --request POST \
-    --url http://localhost:8080/completion \
-    --header "Content-Type: application/json" \
-    --data '{"prompt": "Building a website can be done in 10 simple steps:","n_predict": 128}'
-```
-
-## API Endpoints
-
-### GET `/health`: Returns health check result
-
-This endpoint is public (no API key check). `/v1/health` also works.
-
-**Response format**
-
-- HTTP status code 503
-  - Body: `{"error": {"code": 503, "message": "Loading model", "type": "unavailable_error"}}`
-  - Explanation: the model is still being loaded.
-- HTTP status code 200
-  - Body: `{"status": "ok" }`
-  - Explanation: the model is successfully loaded and the server is ready.
-
-### POST `/completion`: Given a `prompt`, it returns the predicted completion.
-
-> [!IMPORTANT]
->
-> This endpoint is **not** OAI-compatible. For OAI-compatible client, use `/v1/completions` instead.
-
-*Options:*
-
-`prompt`: Provide the prompt for this completion as a string or as an array of strings or numbers representing tokens. Internally, if `cache_prompt` is `true`, the prompt is compared to the previous completion and only the "unseen" suffix is evaluated. A `BOS` token is inserted at the start, if all of the following conditions are true:
-
-  - The prompt is a string or an array with the first element given as a string
-  - The model's `tokenizer.ggml.add_bos_token` metadata is `true`
-
-These input shapes and data type are allowed for `prompt`:
-
-  - Single string: `"string"`
-  - Single sequence of tokens: `[12, 34, 56]`
-  - Mixed tokens and strings: `[12, 34, "string", 56, 78]`
-  - A JSON object which optionally contains multimodal data: `{ "prompt_string": "string", "multimodal_data": ["base64"] }`
-
-Multiple prompts are also supported. In this case, the completion result will be an array.
-
-  - Only strings: `["string1", "string2"]`
-  - Strings, JSON objects, and sequences of tokens: `["string1", [12, 34, 56], { "prompt_string": "string", "multimodal_data": ["base64"]}]`
-  - Mixed types: `[[12, 34, "string", 56, 78], [12, 34, 56], "string", { "prompt_string": "string" }]`
-
-Note for `multimodal_data` in JSON object prompts. This should be an array of strings, containing base64 encoded multimodal data such as images and audio. There must be an identical number of MTMD media markers in the string prompt element which act as placeholders for the data provided to this parameter. The multimodal data files will be substituted in order. The marker string (e.g. `<__media__>`) can be found by calling `mtmd_default_marker()` defined in [the MTMD C API](https://github.com/ggml-org/llama.cpp/blob/5fd160bbd9d70b94b5b11b0001fd7f477005e4a0/tools/mtmd/mtmd.h#L87). A client *must not* specify this field unless the server has the multimodal capability. Clients should check `/models` or `/v1/models` for the `multimodal` capability before a multimodal request.
-
-`temperature`: Adjust the randomness of the generated text. Default: `0.8`
-
-`dynatemp_range`: Dynamic temperature range. The final temperature will be in the range of `[temperature - dynatemp_range; temperature + dynatemp_range]` Default: `0.0`, which is disabled.
-
-`dynatemp_exponent`: Dynamic temperature exponent. Default: `1.0`
-
-`top_k`: Limit the next token selection to the K most probable tokens.  Default: `40`
-
-`top_p`: Limit the next token selection to a subset of tokens with a cumulative probability above a threshold P. Default: `0.95`
-
-`min_p`: The minimum probability for a token to be considered, relative to the probability of the most likely token. Default: `0.05`
-
-`n_predict`: Set the maximum number of tokens to predict when generating text. **Note:** May exceed the set limit slightly if the last token is a partial multibyte character. When 0, no tokens will be generated but the prompt is evaluated into the cache. Default: `-1`, where `-1` is infinity.
-
-`n_indent`: Specify the minimum line indentation for the generated text in number of whitespace characters. Useful for code completion tasks. Default: `0`
-
-`n_keep`: Specify the number of tokens from the prompt to retain when the context size is exceeded and tokens need to be discarded. The number excludes the BOS token.
-By default, this value is set to `0`, meaning no tokens are kept. Use `-1` to retain all tokens from the prompt.
-
-`n_cmpl`: Number of completions to generate from the current prompt. If input has multiple prompts, the output will have N prompts times `n_cmpl` entries.
-
-`n_cache_reuse`: Min chunk size to attempt reusing from the cache via KV shifting. For more info, see `--cache-reuse` arg. Default: `0`, which is disabled.
-
-`stream`: Allows receiving each predicted token in real-time instead of waiting for the completion to finish (uses a different response format). To enable this, set to `true`.
-
-`stop`: Specify a JSON array of stopping strings.
-These words will not be included in the completion, so make sure to add them to the prompt for the next iteration. Default: `[]`
-
-`typical_p`: Enable locally typical sampling with parameter p. Default: `1.0`, which is disabled.
-
-`repeat_penalty`: Control the repetition of token sequences in the generated text. Default: `1.1`
-
-`repeat_last_n`: Last n tokens to consider for penalizing repetition. Default: `64`, where `0` is disabled and `-1` is ctx-size.
-
-`presence_penalty`: Repeat alpha presence penalty. Default: `0.0`, which is disabled.
-
-`frequency_penalty`: Repeat alpha frequency penalty. Default: `0.0`, which is disabled.
-
-`dry_multiplier`: Set the DRY (Don't Repeat Yourself) repetition penalty multiplier. Default: `0.0`, which is disabled.
-
-`dry_base`: Set the DRY repetition penalty base value. Default: `1.75`
-
-`dry_allowed_length`: Tokens that extend repetition beyond this receive exponentially increasing penalty: multiplier * base ^ (length of repeating sequence before token - allowed length). Default: `2`
-
-`dry_penalty_last_n`: How many tokens to scan for repetitions. Default: `-1`, where `0` is disabled and `-1` is context size.
-
-`dry_sequence_breakers`: Specify an array of sequence breakers for DRY sampling. Only a JSON array of strings is accepted. Default: `['\n', ':', '"', '*']`
-
-`xtc_probability`: Set the chance for token removal via XTC sampler. Default: `0.0`, which is disabled.
-
-`xtc_threshold`: Set a minimum probability threshold for tokens to be removed via XTC sampler. Default: `0.1` (> `0.5` disables XTC)
-
-`mirostat`: Enable Mirostat sampling, controlling perplexity during text generation. Default: `0`, where `0` is disabled, `1` is Mirostat, and `2` is Mirostat 2.0.
-
-`mirostat_tau`: Set the Mirostat target entropy, parameter tau. Default: `5.0`
-
-`mirostat_eta`: Set the Mirostat learning rate, parameter eta.  Default: `0.1`
-
-`grammar`: Set grammar for grammar-based sampling.  Default: no grammar
-
-`json_schema`: Set a JSON schema for grammar-based sampling (e.g. `{"items": {"type": "string"}, "minItems": 10, "maxItems": 100}` of a list of strings, or `{}` for any JSON). See [tests](../../tests/test-json-schema-to-grammar.cpp) for supported features.  Default: no JSON schema.
-
-`seed`: Set the random number generator (RNG) seed.  Default: `-1`, which is a random seed.
-
-`ignore_eos`: Ignore end of stream token and continue generating.  Default: `false`
-
-`logit_bias`: Modify the likelihood of a token appearing in the generated text completion. For example, use `"logit_bias": [[15043,1.0]]` to increase the likelihood of the token 'Hello', or `"logit_bias": [[15043,-1.0]]` to decrease its likelihood. Setting the value to false, `"logit_bias": [[15043,false]]` ensures that the token `Hello` is never produced. The tokens can also be represented as strings, e.g. `[["Hello, World!",-0.5]]` will reduce the likelihood of all the individual tokens that represent the string `Hello, World!`, just like the `presence_penalty` does. For compatibility with the OpenAI API, a JSON object {"<string or token id>": bias, ...} can also be passed. Default: `[]`
-
-`n_probs`: If greater than 0, the response also contains the probabilities of top N tokens for each generated token given the sampling settings. Note that for temperature < 0 the tokens are sampled greedily but token probabilities are still being calculated via a simple softmax of the logits without considering any other sampler settings. Default: `0`
-
-`min_keep`: If greater than 0, force samplers to return N possible tokens at minimum. Default: `0`
-
-`t_max_predict_ms`: Set a time limit in milliseconds for the prediction (a.k.a. text-generation) phase. The timeout will trigger if the generation takes more than the specified time (measured since the first token was generated) and if a new-line character has already been generated. Useful for FIM applications. Default: `0`, which is disabled.
-
-`id_slot`: Assign the completion task to an specific slot. If is -1 the task will be assigned to a Idle slot.  Default: `-1`
-
-`cache_prompt`: Re-use KV cache from a previous request if possible. This way the common prefix does not have to be re-processed, only the suffix that differs between the requests. Because (depending on the backend) the logits are **not** guaranteed to be bit-for-bit identical for different batch sizes (prompt processing vs. token generation) enabling this option can cause nondeterministic results. Default: `true`
-
-`return_tokens`: Return the raw generated token ids in the `tokens` field. Otherwise `tokens` remains empty. Default: `false`
-
-`samplers`: The order the samplers should be applied in. An array of strings representing sampler type names. If a sampler is not set, it will not be used. If a sampler is specified more than once, it will be applied multiple times. Default: `["dry", "top_k", "typ_p", "top_p", "min_p", "xtc", "temperature"]` - these are all the available values.
-
-`timings_per_token`: Include prompt processing and text generation speed information in each response.  Default: `false`
-
-`return_progress`: Include prompt processing progress in `stream` mode. The progress will be contained inside `prompt_progress` with 4 values: `total`, `cache`, `processed`, and `time_ms`. The overall progress is `processed/total`, while the actual timed progress is `(processed-cache)/(total-cache)`. The `time_ms` field contains the elapsed time in milliseconds since prompt processing started. Default: `false`
-
-`post_sampling_probs`: Returns the probabilities of top `n_probs` tokens after applying sampling chain.
-
-`response_fields`: A list of response fields, for example: `"response_fields": ["content", "generation_settings/n_predict"]`. If the specified field is missing, it will simply be omitted from the response without triggering an error. Note that fields with a slash will be unnested; for example, `generation_settings/n_predict` will move the field `n_predict` from the `generation_settings` object to the root of the response and give it a new name.
-
-`lora`: A list of LoRA adapters to be applied to this specific request. Each object in the list must contain `id` and `scale` fields. For example: `[{"id": 0, "scale": 0.5}, {"id": 1, "scale": 1.1}]`. If a LoRA adapter is not specified in the list, its scale will default to `0.0`. Please note that requests with different LoRA configurations will not be batched together, which may result in performance degradation.
-
-**Response format**
-
-- Note: In streaming mode (`stream`), only `content`, `tokens` and `stop` will be returned until end of completion. Responses are sent using the [Server-sent events](https://html.spec.whatwg.org/multipage/server-sent-events.html) standard. Note: the browser's `EventSource` interface cannot be used due to its lack of `POST` request support.
-
-- `completion_probabilities`: An array of token probabilities for each completion. The array's length is `n_predict`. Each item in the array has a nested array `top_logprobs`. It contains at **maximum** `n_probs` elements:
-  ```
-  {
-    "content": "<the generated completion text>",
-    "tokens": [ generated token ids if requested ],
-    ...
-    "probs": [
-      {
-        "id": <token id>,
-        "logprob": float,
-        "token": "<most likely token>",
-        "bytes": [int, int, ...],
-        "top_logprobs": [
-          {
-            "id": <token id>,
-            "logprob": float,
-            "token": "<token text>",
-            "bytes": [int, int, ...],
-          },
-          {
-            "id": <token id>,
-            "logprob": float,
-            "token": "<token text>",
-            "bytes": [int, int, ...],
-          },
-          ...
-        ]
-      },
-      {
-        "id": <token id>,
-        "logprob": float,
-        "token": "<most likely token>",
-        "bytes": [int, int, ...],
-        "top_logprobs": [
-          ...
-        ]
-      },
-      ...
-    ]
-  },
-  ```
-  Please note that if `post_sampling_probs` is set to `true`:
-    - `logprob` will be replaced with `prob`, with the value between 0.0 and 1.0
-    - `top_logprobs` will be replaced with `top_probs`. Each element contains:
-      - `id`: token ID
-      - `token`: token in string
-      - `bytes`: token in bytes
-      - `prob`: token probability, with the value between 0.0 and 1.0
-    - Number of elements in `top_probs` may be less than `n_probs`
-
-- `content`: Completion result as a string (excluding `stopping_word` if any). In case of streaming mode, will contain the next token as a string.
-- `tokens`: Same as `content` but represented as raw token ids. Only populated if `"return_tokens": true` or `"stream": true` in the request.
-- `stop`: Boolean for use with `stream` to check whether the generation has stopped (Note: This is not related to stopping words array `stop` from input options)
-- `generation_settings`: The provided options above excluding `prompt` but including `n_ctx`, `model`. These options may differ from the original ones in some way (e.g. bad values filtered out, strings converted to tokens, etc.).
-- `model`: The model alias (for model path, please use `/props` endpoint)
-- `prompt`: The processed `prompt` (special tokens may be added)
-- `stop_type`: Indicating whether the completion has stopped. Possible values are:
-  - `none`: Generating (not stopped)
-  - `eos`: Stopped because it encountered the EOS token
-  - `limit`: Stopped because `n_predict` tokens were generated before stop words or EOS was encountered
-  - `word`: Stopped due to encountering a stopping word from `stop` JSON array provided
-- `stopping_word`: The stopping word encountered which stopped the generation (or "" if not stopped due to a stopping word)
-- `timings`: Hash of timing information about the completion such as the number of tokens `predicted_per_second`
-- `tokens_cached`: Number of tokens from the prompt which could be re-used from previous completion
-- `tokens_evaluated`: Number of tokens evaluated in total from the prompt
-- `truncated`: Boolean indicating if the context size was exceeded during generation, i.e. the number of tokens provided in the prompt (`tokens_evaluated`) plus tokens generated (`tokens predicted`) exceeded the context size (`n_ctx`)
-
-
-### POST `/tokenize`: Tokenize a given text
-
-*Options:*
-
-`content`: (Required) The text to tokenize.
-
-`add_special`: (Optional) Boolean indicating if special tokens, i.e. `BOS`, should be inserted.  Default: `false`
-
-`parse_special`: (Optional) Boolean indicating if special tokens should be tokenized. When `false` special tokens are treated as plaintext.  Default: `true`
-
-`with_pieces`: (Optional) Boolean indicating whether to return token pieces along with IDs.  Default: `false`
-
-**Response:**
-
-Returns a JSON object with a `tokens` field containing the tokenization result. The `tokens` array contains either just token IDs or objects with `id` and `piece` fields, depending on the `with_pieces` parameter. The piece field is a string if the piece is valid unicode or a list of bytes otherwise.
-
-
-If `with_pieces` is `false`:
-```json
-{
-  "tokens": [123, 456, 789]
-}
-```
-
-If `with_pieces` is `true`:
-```json
-{
-  "tokens": [
-    {"id": 123, "piece": "Hello"},
-    {"id": 456, "piece": " world"},
-    {"id": 789, "piece": "!"}
-  ]
-}
-```
-
-With input 'á' (utf8 hex: C3 A1) on tinyllama/stories260k
-```
-{
-  "tokens": [
-    {"id": 198, "piece": [195]}, // hex C3
-    {"id": 164, "piece": [161]} // hex A1
-  ]
-}
-```
-
-### POST `/detokenize`: Convert tokens to text
-
-*Options:*
-
-`tokens`: Set the tokens to detokenize.
-
-### POST `/apply-template`: Apply chat template to a conversation
-
-Uses the server's prompt template formatting functionality to convert chat messages to a single string expected by a chat model as input, but does not perform inference. Instead, the prompt string is returned in the `prompt` field of the JSON response. The prompt can then be modified as desired (for example, to insert "Sure!" at the beginning of the model's response) before sending to `/completion` to generate the chat response.
-
-*Options:*
-
-`messages`: (Required) Chat turns in the same format as `/v1/chat/completions`.
-
-**Response format**
-
-Returns a JSON object with a field `prompt` containing a string of the input messages formatted according to the model's chat template format.
-
-### POST `/embedding`: Generate embedding of a given text
-
-> [!IMPORTANT]
->
-> This endpoint is **not** OAI-compatible. For OAI-compatible client, use `/v1/embeddings` instead.
-
-The same as [the embedding example](../embedding) does.
-
-This endpoint also supports multimodal embeddings. See the documentation for the `/completions` endpoint for details on how to send a multimodal prompt.
-
-*Options:*
-
-`content`: Set the text to process.
-
-`embd_normalize`: Normalization for pooled embeddings. Can be one of the following values:
-```
-  -1: No normalization
-   0: Max absolute
-   1: Taxicab
-   2: Euclidean/L2
-  >2: P-Norm
-```
-
-### POST `/reranking`: Rerank documents according to a given query
-
-Similar to https://jina.ai/reranker/ but might change in the future.
-Requires a reranker model (such as [bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3)) and the `--embedding --pooling rank` options.
-
-*Options:*
-
-`query`: The query against which the documents will be ranked.
-
-`documents`: An array strings representing the documents to be ranked.
-
-*Aliases:*
-  - `/rerank`
-  - `/v1/rerank`
-  - `/v1/reranking`
-
-*Examples:*
-
-```shell
-curl http://127.0.0.1:8012/v1/rerank \
-    -H "Content-Type: application/json" \
-    -d '{
-        "model": "some-model",
-            "query": "What is panda?",
-            "top_n": 3,
-            "documents": [
-                "hi",
-            "it is a bear",
-            "The giant panda (Ailuropoda melanoleuca), sometimes called a panda bear or simply panda, is a bear species endemic to China."
-            ]
-    }' | jq
-```
-
-### POST `/infill`: For code infilling.
-
-Takes a prefix and a suffix and returns the predicted completion as stream.
-
-*Options:*
-
-- `input_prefix`: Set the prefix of the code to infill.
-- `input_suffix`: Set the suffix of the code to infill.
-- `input_extra`:  Additional context inserted before the FIM prefix.
-- `prompt`:       Added after the `FIM_MID` token
-
-`input_extra` is array of `{"filename": string, "text": string}` objects.
-
-The endpoint also accepts all the options of `/completion`.
-
-If the model has `FIM_REPO` and `FIM_FILE_SEP` tokens, the [repo-level pattern](https://arxiv.org/pdf/2409.12186) is used:
-
-```txt
-<FIM_REP>myproject
-<FIM_SEP>{chunk 0 filename}
-{chunk 0 text}
-<FIM_SEP>{chunk 1 filename}
-{chunk 1 text}
-...
-<FIM_SEP>filename
-<FIM_PRE>[input_prefix]<FIM_SUF>[input_suffix]<FIM_MID>[prompt]
-```
-
-If the tokens are missing, then the extra context is simply prefixed at the start:
-
-```txt
-[input_extra]<FIM_PRE>[input_prefix]<FIM_SUF>[input_suffix]<FIM_MID>[prompt]
-```
-
-### **GET** `/props`: Get server global properties.
-
-By default, it is read-only. To make POST request to change global properties, you need to start server with `--props`
-
-**Response format**
-
-```json
-{
-  "default_generation_settings": {
-    "id": 0,
-    "id_task": -1,
-    "n_ctx": 1024,
-    "speculative": false,
-    "is_processing": false,
-    "params": {
-      "n_predict": -1,
-      "seed": 4294967295,
-      "temperature": 0.800000011920929,
-      "dynatemp_range": 0.0,
-      "dynatemp_exponent": 1.0,
-      "top_k": 40,
-      "top_p": 0.949999988079071,
-      "min_p": 0.05000000074505806,
-      "xtc_probability": 0.0,
-      "xtc_threshold": 0.10000000149011612,
-      "typical_p": 1.0,
-      "repeat_last_n": 64,
-      "repeat_penalty": 1.0,
-      "presence_penalty": 0.0,
-      "frequency_penalty": 0.0,
-      "dry_multiplier": 0.0,
-      "dry_base": 1.75,
-      "dry_allowed_length": 2,
-      "dry_penalty_last_n": -1,
-      "dry_sequence_breakers": [
-        "\n",
-        ":",
-        "\"",
-        "*"
-      ],
-      "mirostat": 0,
-      "mirostat_tau": 5.0,
-      "mirostat_eta": 0.10000000149011612,
-      "stop": [],
-      "max_tokens": -1,
-      "n_keep": 0,
-      "n_discard": 0,
-      "ignore_eos": false,
-      "stream": true,
-      "n_probs": 0,
-      "min_keep": 0,
-      "grammar": "",
-      "samplers": [
-        "dry",
-        "top_k",
-        "typ_p",
-        "top_p",
-        "min_p",
-        "xtc",
-        "temperature"
-      ],
-      "speculative.n_max": 16,
-      "speculative.n_min": 5,
-      "speculative.p_min": 0.8999999761581421,
-      "timings_per_token": false
-    },
-    "prompt": "",
-    "next_token": {
-      "has_next_token": true,
-      "has_new_line": false,
-      "n_remain": -1,
-      "n_decoded": 0,
-      "stopping_word": ""
-    }
-  },
-  "total_slots": 1,
-  "model_path": "../models/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf",
-  "chat_template": "...",
-  "chat_template_caps": {},
-  "modalities": {
-    "vision": false
-  },
-  "build_info": "b(build number)-(build commit hash)",
-  "is_sleeping": false
-}
-```
-
-- `default_generation_settings` - the default generation settings for the `/completion` endpoint, which has the same fields as the `generation_settings` response object from the `/completion` endpoint.
-- `total_slots` - the total number of slots for process requests (defined by `--parallel` option)
-- `model_path` - the path to model file (same with `-m` argument)
-- `chat_template` - the model's original Jinja2 prompt template
-- `chat_template_caps` - capabilities of the chat template (see `common/jinja/caps.h` for more info)
-- `modalities` - the list of supported modalities
-- `is_sleeping` - sleeping status, see [Sleeping on idle](#sleeping-on-idle)
-
-### POST `/props`: Change server global properties.
-
-To use this endpoint with POST method, you need to start server with `--props`
-
-*Options:*
-
-- None yet
-
-### POST `/embeddings`: non-OpenAI-compatible embeddings API
-
-This endpoint supports all poolings, including `--pooling none`. When the pooling is `none`, the responses will contain the *unnormalized* embeddings for *all* input tokens. For all other pooling types, only the pooled embeddings are returned, normalized using Euclidean norm.
-
-Note that the response format of this endpoint is different from `/v1/embeddings`.
-
-*Options:*
-
-Same as the `/v1/embeddings` endpoint.
-
-*Examples:*
-
-Same as the `/v1/embeddings` endpoint.
-
-**Response format**
-
-```
-[
-  {
-    "index": 0,
-    "embedding": [
-      [ ... embeddings for token 0   ... ],
-      [ ... embeddings for token 1   ... ],
-      [ ... ]
-      [ ... embeddings for token N-1 ... ],
-    ]
-  },
-  ...
-  {
-    "index": P,
-    "embedding": [
-      [ ... embeddings for token 0   ... ],
-      [ ... embeddings for token 1   ... ],
-      [ ... ]
-      [ ... embeddings for token N-1 ... ],
-    ]
-  }
-]
-```
-
-### GET `/slots`: Returns the current slots processing state
-
-This endpoint is enabled by default and can be disabled with `--no-slots`. It can be used to query various per-slot metrics, such as speed, processed tokens, sampling parameters, etc.
-
-If query param `?fail_on_no_slot=1` is set, this endpoint will respond with status code 503 if there is no available slots.
-
-**Response format**
-
-<details>
-<summary>Example with 2 slots</summary>
-
-```json
-[
-  {
-    "id": 0,
-    "id_task": 135,
-    "n_ctx": 65536,
-    "speculative": false,
-    "is_processing": true,
-    "params": {
-      "n_predict": -1,
-      "seed": 4294967295,
-      "temperature": 0.800000011920929,
-      "dynatemp_range": 0.0,
-      "dynatemp_exponent": 1.0,
-      "top_k": 40,
-      "top_p": 0.949999988079071,
-      "min_p": 0.05000000074505806,
-      "top_n_sigma": -1.0,
-      "xtc_probability": 0.0,
-      "xtc_threshold": 0.10000000149011612,
-      "typical_p": 1.0,
-      "repeat_last_n": 64,
-      "repeat_penalty": 1.0,
-      "presence_penalty": 0.0,
-      "frequency_penalty": 0.0,
-      "dry_multiplier": 0.0,
-      "dry_base": 1.75,
-      "dry_allowed_length": 2,
-      "dry_penalty_last_n": 131072,
-      "mirostat": 0,
-      "mirostat_tau": 5.0,
-      "mirostat_eta": 0.10000000149011612,
-      "max_tokens": -1,
-      "n_keep": 0,
-      "n_discard": 0,
-      "ignore_eos": false,
-      "stream": true,
-      "n_probs": 0,
-      "min_keep": 0,
-      "chat_format": "GPT-OSS",
-      "reasoning_format": "none",
-      "reasoning_in_content": false,
-      "thinking_forced_open": false,
-      "samplers": [
-        "penalties",
-        "dry",
-        "top_k",
-        "typ_p",
-        "top_p",
-        "min_p",
-        "xtc",
-        "temperature"
-      ],
-      "speculative.n_max": 16,
-      "speculative.n_min": 0,
-      "speculative.p_min": 0.75,
-      "timings_per_token": false,
-      "post_sampling_probs": false,
-      "lora": []
-    },
-    "next_token": {
-      "has_next_token": true,
-      "has_new_line": false,
-      "n_remain": -1,
-      "n_decoded": 0
-    }
-  },
-  {
-    "id": 1,
-    "id_task": 0,
-    "n_ctx": 65536,
-    "speculative": false,
-    "is_processing": true,
-    "params": {
-      "n_predict": -1,
-      "seed": 4294967295,
-      "temperature": 0.800000011920929,
-      "dynatemp_range": 0.0,
-      "dynatemp_exponent": 1.0,
-      "top_k": 40,
-      "top_p": 0.949999988079071,
-      "min_p": 0.05000000074505806,
-      "top_n_sigma": -1.0,
-      "xtc_probability": 0.0,
-      "xtc_threshold": 0.10000000149011612,
-      "typical_p": 1.0,
-      "repeat_last_n": 64,
-      "repeat_penalty": 1.0,
-      "presence_penalty": 0.0,
-      "frequency_penalty": 0.0,
-      "dry_multiplier": 0.0,
-      "dry_base": 1.75,
-      "dry_allowed_length": 2,
-      "dry_penalty_last_n": 131072,
-      "mirostat": 0,
-      "mirostat_tau": 5.0,
-      "mirostat_eta": 0.10000000149011612,
-      "max_tokens": -1,
-      "n_keep": 0,
-      "n_discard": 0,
-      "ignore_eos": false,
-      "stream": true,
-      "n_probs": 0,
-      "min_keep": 0,
-      "chat_format": "GPT-OSS",
-      "reasoning_format": "none",
-      "reasoning_in_content": false,
-      "thinking_forced_open": false,
-      "samplers": [
-        "penalties",
-        "dry",
-        "top_k",
-        "typ_p",
-        "top_p",
-        "min_p",
-        "xtc",
-        "temperature"
-      ],
-      "speculative.n_max": 16,
-      "speculative.n_min": 0,
-      "speculative.p_min": 0.75,
-      "timings_per_token": false,
-      "post_sampling_probs": false,
-      "lora": []
-    },
-    "next_token": {
-      "has_next_token": true,
-      "has_new_line": true,
-      "n_remain": -1,
-      "n_decoded": 136
-    }
-  }
-]
-```
-
-</details>
-
-### GET `/metrics`: Prometheus compatible metrics exporter
-
-This endpoint is only accessible if `--metrics` is set.
-
-Available metrics:
-- `llamacpp:prompt_tokens_total`: Number of prompt tokens processed.
-- `llamacpp:tokens_predicted_total`: Number of generation tokens processed.
-- `llamacpp:prompt_tokens_seconds`: Average prompt throughput in tokens/s.
-- `llamacpp:predicted_tokens_seconds`: Average generation throughput in tokens/s.
-- `llamacpp:kv_cache_usage_ratio`: KV-cache usage. `1` means 100 percent usage.
-- `llamacpp:kv_cache_tokens`: KV-cache tokens.
-- `llamacpp:requests_processing`: Number of requests processing.
-- `llamacpp:requests_deferred`: Number of requests deferred.
-- `llamacpp:n_tokens_max`: High watermark of the context size observed.
-
-### POST `/slots/{id_slot}?action=save`: Save the prompt cache of the specified slot to a file.
-
-*Options:*
-
-`filename`: Name of the file to save the slot's prompt cache. The file will be saved in the directory specified by the `--slot-save-path` server parameter.
-
-**Response format**
-
-```json
-{
-    "id_slot": 0,
-    "filename": "slot_save_file.bin",
-    "n_saved": 1745,
-    "n_written": 14309796,
-    "timings": {
-        "save_ms": 49.865
-    }
-}
-```
-
-### POST `/slots/{id_slot}?action=restore`: Restore the prompt cache of the specified slot from a file.
-
-*Options:*
-
-`filename`: Name of the file to restore the slot's prompt cache from. The file should be located in the directory specified by the `--slot-save-path` server parameter.
-
-**Response format**
-
-```json
-{
-    "id_slot": 0,
-    "filename": "slot_save_file.bin",
-    "n_restored": 1745,
-    "n_read": 14309796,
-    "timings": {
-        "restore_ms": 42.937
-    }
-}
-```
-
-### POST `/slots/{id_slot}?action=erase`: Erase the prompt cache of the specified slot.
-
-**Response format**
-
-```json
-{
-    "id_slot": 0,
-    "n_erased": 1745
-}
-```
-
-### GET `/lora-adapters`: Get list of all LoRA adapters
-
-This endpoint returns the loaded LoRA adapters. You can add adapters using `--lora` when starting the server, for example: `--lora my_adapter_1.gguf --lora my_adapter_2.gguf ...`
-
-By default, all adapters will be loaded with scale set to 1. To initialize all adapters scale to 0, add `--lora-init-without-apply`
-
-Please note that this value will be overwritten by the `lora` field for each request.
-
-If an adapter is disabled, the scale will be set to 0.
-
-**Response format**
-
-```json
-[
-    {
-        "id": 0,
-        "path": "my_adapter_1.gguf",
-        "scale": 0.0
-    },
-    {
-        "id": 1,
-        "path": "my_adapter_2.gguf",
-        "scale": 0.0
-    }
-]
-```
-
-### POST `/lora-adapters`: Set list of LoRA adapters
-
-This sets the global scale for LoRA adapters. Please note that this value will be overwritten by the `lora` field for each request.
-
-To disable an adapter, either remove it from the list below, or set scale to 0.
-
-**Request format**
-
-To know the `id` of the adapter, use GET `/lora-adapters`
-
-```json
-[
-  {"id": 0, "scale": 0.2},
-  {"id": 1, "scale": 0.8}
-]
-```
-
-## OpenAI-compatible API Endpoints
-
-### GET `/v1/models`: OpenAI-compatible Model Info API
-
-Returns information about the loaded model. See [OpenAI Models API documentation](https://platform.openai.com/docs/api-reference/models).
-
-The returned list always has one single element. The `meta` field can be `null` (for example, while the model is still loading).
-
-By default, model `id` field is the path to model file, specified via `-m`. You can set a custom value for model `id` field via `--alias` argument. For example, `--alias gpt-4o-mini`.
-
-Example:
-
-```json
-{
-    "object": "list",
-    "data": [
-        {
-            "id": "../models/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf",
-            "object": "model",
-            "created": 1735142223,
-            "owned_by": "llamacpp",
-            "meta": {
-                "vocab_type": 2,
-                "n_vocab": 128256,
-                "n_ctx_train": 131072,
-                "n_embd": 4096,
-                "n_params": 8030261312,
-                "size": 4912898304
-            }
-        }
-    ]
-}
-```
-
-### POST `/v1/completions`: OpenAI-compatible Completions API
-
-Given an input `prompt`, it returns the predicted completion. Streaming mode is also supported. While no strong claims of compatibility with OpenAI API spec is being made, in our experience it suffices to support many apps.
-
-*Options:*
-
-See [OpenAI Completions API documentation](https://platform.openai.com/docs/api-reference/completions).
-
-llama.cpp `/completion`-specific features such as `mirostat` are supported.
-
-*Examples:*
-
-Example usage with `openai` python library:
-
-```python
-import openai
-
-client = openai.OpenAI(
-    base_url="http://localhost:8080/v1", # "http://<Your api-server IP>:port"
-    api_key = "sk-no-key-required"
-)
-
-completion = client.completions.create(
-  model="davinci-002",
-  prompt="I believe the meaning of life is",
-  max_tokens=8
-)
-
-print(completion.choices[0].text)
-```
-
-### POST `/v1/chat/completions`: OpenAI-compatible Chat Completions API
-
-Given a ChatML-formatted json description in `messages`, it returns the predicted completion. Both synchronous and streaming mode are supported, so scripted and interactive applications work fine. While no strong claims of compatibility with OpenAI API spec is being made, in our experience it suffices to support many apps. Only models with a [supported chat template](https://github.com/ggml-org/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template) can be used optimally with this endpoint. By default, the ChatML template will be used.
-
-If model supports multimodal, you can input the media file via `image_url` content part. We support both base64 and remote URL as input. See OAI documentation for more.
-
-*Options:*
-
-See [OpenAI Chat Completions API documentation](https://platform.openai.com/docs/api-reference/chat). llama.cpp `/completion`-specific features such as `mirostat` are also supported.
-
-The `response_format` parameter supports both plain JSON output (e.g. `{"type": "json_object"}`) and schema-constrained JSON (e.g. `{"type": "json_object", "schema": {"type": "string", "minLength": 10, "maxLength": 100}}` or `{"type": "json_schema", "schema": {"properties": { "name": { "title": "Name",  "type": "string" }, "date": { "title": "Date",  "type": "string" }, "participants": { "items": {"type: "string" }, "title": "Participants",  "type": "string" } } } }`), similar to other OpenAI-inspired API providers.
-
-`chat_template_kwargs`: Allows sending additional parameters to the json templating system. For example: `{"enable_thinking": false}`
-
-`reasoning_format`: The reasoning format to be parsed. If set to `none`, it will output the raw generated text.
-
-`thinking_forced_open`: Force a reasoning model to always output the reasoning. Only works on certain models.
-
-`parse_tool_calls`: Whether to parse the generated tool call.
-
-`parallel_tool_calls` : Whether to enable parallel/multiple tool calls (only supported on some models, verification is based on jinja template).
-
-*Examples:*
-
-You can use either Python `openai` library with appropriate checkpoints:
-
-```python
-import openai
-
-client = openai.OpenAI(
-    base_url="http://localhost:8080/v1", # "http://<Your api-server IP>:port"
-    api_key = "sk-no-key-required"
-)
-
-completion = client.chat.completions.create(
-  model="gpt-3.5-turbo",
-  messages=[
-    {"role": "system", "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."},
-    {"role": "user", "content": "Write a limerick about python exceptions"}
-  ]
-)
-
-print(completion.choices[0].message)
-```
-
-... or raw HTTP requests:
-
-```shell
-curl http://localhost:8080/v1/chat/completions \
--H "Content-Type: application/json" \
--H "Authorization: Bearer no-key" \
--d '{
-"model": "gpt-3.5-turbo",
-"messages": [
-{
-    "role": "system",
-    "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."
-},
-{
-    "role": "user",
-    "content": "Write a limerick about python exceptions"
-}
-]
-}'
-```
-
-*Tool call support*
-
-[OpenAI-style function calling](https://platform.openai.com/docs/guides/function-calling) is supported with the `--jinja` flag (and may require a `--chat-template-file` override to get the right tool-use compatible Jinja template; worst case, `--chat-template chatml` may also work).
-
-**See our [Function calling](../../docs/function-calling.md) docs** for more details, supported native tool call styles (generic tool call style is used as fallback) / examples of use.
-
-*Timings and context usage*
-
-The response contains a `timings` object, for example:
-
-```js
-{
-  "choices": [],
-  "created": 1757141666,
-  "id": "chatcmpl-ecQULm0WqPrftUqjPZO1CFYeDjGZNbDu",
-  // ...
-  "timings": {
-    "cache_n": 236, // number of prompt tokens reused from cache
-    "prompt_n": 1, // number of prompt tokens being processed
-    "prompt_ms": 30.958,
-    "prompt_per_token_ms": 30.958,
-    "prompt_per_second": 32.301828283480845,
-    "predicted_n": 35, // number of predicted tokens
-    "predicted_ms": 661.064,
-    "predicted_per_token_ms": 18.887542857142858,
-    "predicted_per_second": 52.94494935437416
-  }
-}
-```
-
-This provides information on the performance of the server. It also allows calculating the current context usage.
-
-The total number of tokens in context is equal to `prompt_n + cache_n + predicted_n`
-
-*Reasoning support*
-
-The server supports parsing and returning reasoning via the `reasoning_content` field, similar to Deepseek API.
-
-Reasoning input (preserve reasoning in history) is also supported by some specific templates. For more details, please refer to [PR#18994](https://github.com/ggml-org/llama.cpp/pull/18994).
-
-### POST `/v1/responses`: OpenAI-compatible Responses API
-
-*Options:*
-
-See [OpenAI Responses API documentation](https://platform.openai.com/docs/api-reference/responses).
-
-*Examples:*
-
-You can use either Python `openai` library with appropriate checkpoints:
-
-```python
-import openai
-
-client = openai.OpenAI(
-    base_url="http://localhost:8080/v1", # "http://<Your api-server IP>:port"
-    api_key = "sk-no-key-required"
-)
-
-response = client.responses.create(
-  model="gpt-4.1",
-  instructions="You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.",
-  input="Write a limerick about python exceptions"
-)
-
-print(response.output_text)
-```
-
-... or raw HTTP requests:
-
-```shell
-curl http://localhost:8080/v1/responses \
--H "Content-Type: application/json" \
--H "Authorization: Bearer no-key" \
--d '{
-"model": "gpt-4.1",
-"instructions": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.",
-"input": "Write a limerick about python exceptions"
-}'
-```
-
-This endpoint works by converting Responses request into Chat Completions request.
-
-
-### POST `/v1/embeddings`: OpenAI-compatible embeddings API
-
-This endpoint requires that the model uses a pooling different than type `none`. The embeddings are normalized using the Eucledian norm.
-
-*Options:*
-
-See [OpenAI Embeddings API documentation](https://platform.openai.com/docs/api-reference/embeddings).
-
-*Examples:*
-
-- input as string
-
-  ```shell
-  curl http://localhost:8080/v1/embeddings \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer no-key" \
-  -d '{
-          "input": "hello",
-          "model":"GPT-4",
-          "encoding_format": "float"
-  }'
-  ```
-
-- `input` as string array
-
-  ```shell
-  curl http://localhost:8080/v1/embeddings \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer no-key" \
-  -d '{
-          "input": ["hello", "world"],
-          "model":"GPT-4",
-          "encoding_format": "float"
-  }'
-  ```
-
-### POST `/v1/messages`: Anthropic-compatible Messages API
-
-Given a list of `messages`, returns the assistant's response. Streaming is supported via Server-Sent Events. While no strong claims of compatibility with the Anthropic API spec are made, in our experience it suffices to support many apps.
-
-*Options:*
-
-See [Anthropic Messages API documentation](https://docs.anthropic.com/en/api/messages). Tool use requires `--jinja` flag.
-
-`model`: Model identifier (required)
-
-`messages`: Array of message objects with `role` and `content` (required)
-
-`max_tokens`: Maximum tokens to generate (default: 4096)
-
-`system`: System prompt as string or array of content blocks
-
-`temperature`: Sampling temperature 0-1 (default: 1.0)
-
-`top_p`: Nucleus sampling (default: 1.0)
-
-`top_k`: Top-k sampling
-
-`stop_sequences`: Array of stop sequences
-
-`stream`: Enable streaming (default: false)
-
-`tools`: Array of tool definitions (requires `--jinja`)
-
-`tool_choice`: Tool selection mode (`{"type": "auto"}`, `{"type": "any"}`, or `{"type": "tool", "name": "..."}`)
-
-*Examples:*
-
-```shell
-curl http://localhost:8080/v1/messages \
-  -H "Content-Type: application/json" \
-  -H "x-api-key: your-api-key" \
-  -d '{
-    "model": "gpt-4",
-    "max_tokens": 1024,
-    "system": "You are a helpful assistant.",
-    "messages": [
-      {"role": "user", "content": "Hello!"}
-    ]
-  }'
-```
-
-### POST `/v1/messages/count_tokens`: Token Counting
-
-Counts the number of tokens in a request without generating a response.
-
-Accepts the same parameters as `/v1/messages`. The `max_tokens` parameter is not required.
-
-*Example:*
-
-```shell
-curl http://localhost:8080/v1/messages/count_tokens \
-  -H "Content-Type: application/json" \
-  -d '{
-    "model": "gpt-4",
-    "messages": [
-      {"role": "user", "content": "Hello!"}
-    ]
-  }'
-```
-
-*Response:*
-
-```json
-{"input_tokens": 10}
-```
-
-## Using multiple models
-
-`llama-server` can be launched in a **router mode** that exposes an API for dynamically loading and unloading models. The main process (the "router") automatically forwards each request to the appropriate model instance.
-
-To start in router mode, launch `llama-server` **without specifying any model**:
-
-```sh
-llama-server
-```
-
-### Model sources
-
-There are 3 possible sources for model files:
-1. Cached models (controlled by the `LLAMA_CACHE` environment variable)
-2. Custom model directory (set via the `--models-dir` argument)
-3. Custom preset (set via the `--models-preset` argument)
-
-By default, the router looks for models in the cache. You can add Hugging Face models to the cache with:
-
-```sh
-llama-server -hf <user>/<model>:<tag>
-```
-
-*The server must be restarted after adding a new model.*
-
-Alternatively, you can point the router to a local directory containing your GGUF files using `--models-dir`. Example command:
-
-```sh
-llama-server --models-dir ./models_directory
-```
-
-If the model contains multiple GGUF (for multimodal or multi-shard), files should be put into a subdirectory. The directory structure should look like this:
-
-```sh
-models_directory
- │
- │  # single file
- ├─ llama-3.2-1b-Q4_K_M.gguf
- ├─ Qwen3-8B-Q4_K_M.gguf
- │
- │  # multimodal
- ├─ gemma-3-4b-it-Q8_0
- │    ├─ gemma-3-4b-it-Q8_0.gguf
- │    └─ mmproj-F16.gguf   # file name must start with "mmproj"
- │
- │  # multi-shard
- ├─ Kimi-K2-Thinking-UD-IQ1_S
- │    ├─ Kimi-K2-Thinking-UD-IQ1_S-00001-of-00006.gguf
- │    ├─ Kimi-K2-Thinking-UD-IQ1_S-00002-of-00006.gguf
- │    ├─ ...
- │    └─ Kimi-K2-Thinking-UD-IQ1_S-00006-of-00006.gguf
-```
-
-You may also specify default arguments that will be passed to every model instance:
-
-```sh
-llama-server -ctx 8192 -n 1024 -np 2
-```
-
-Note: model instances inherit both command line arguments and environment variables from the router server.
-
-Alternatively, you can also add GGUF based preset (see next section)
-
-### Model presets
-
-Model presets allow advanced users to define custom configurations using an `.ini` file:
-
-```sh
-llama-server --models-preset ./my-models.ini
-```
-
-Each section in the file defines a new preset. Keys within a section correspond to command-line arguments (without leading dashes). For example, the argument `--n-gpu-layers 123` is written as `n-gpu-layers = 123`.
-
-Short argument forms (e.g., `c`, `ngl`) and environment variable names (e.g., `LLAMA_ARG_N_GPU_LAYERS`) are also supported as keys.
-
-Example:
-
-```ini
-version = 1
-
-; (Optional) This section provides global settings shared across all presets.
-; If the same key is defined in a specific preset, it will override the value in this global section.
-[*]
-c = 8192
-n-gpu-layers = 8
-
-; If the key corresponds to an existing model on the server,
-; this will be used as the default config for that model
-[ggml-org/MY-MODEL-GGUF:Q8_0]
-; string value
-chat-template = chatml
-; numeric value
-n-gpu-layers = 123
-; flag value (for certain flags, you need to use the "no-" prefix for negation)
-jinja = true
-; shorthand argument (for example, context size)
-c = 4096
-; environment variable name
-LLAMA_ARG_CACHE_RAM = 0
-; file paths are relative to server's CWD
-model-draft = ./my-models/draft.gguf
-; but it's RECOMMENDED to use absolute path
-model-draft = /Users/abc/my-models/draft.gguf
-
-; If the key does NOT correspond to an existing model,
-; you need to specify at least the model path or HF repo
-[custom_model]
-model = /Users/abc/my-awesome-model-Q4_K_M.gguf
-```
-
-Note: some arguments are controlled by router (e.g., host, port, API key, HF repo, model alias). They will be removed or overwritten upon loading.
-
-The precedence rule for preset options is as follows:
-1. **Command-line arguments** passed to `llama-server` (highest priority)
-2. **Model-specific options** defined in the preset file (e.g. `[ggml-org/MY-MODEL...]`)
-3. **Global options** defined in the preset file (`[*]`)
-
-We also offer additional options that are exclusive to presets (these aren't treated as command-line arguments):
-- `load-on-startup` (boolean): Controls whether the model loads automatically when the server starts
-- `stop-timeout` (int, seconds): After requested unload, wait for this many seconds before forcing termination (default: 10)
-
-### Routing requests
-
-Requests are routed according to the requested model name.
-
-For **POST** endpoints (`/v1/chat/completions`, `/v1/completions`, `/infill`, etc.) The router uses the `"model"` field in the JSON body:
-
-```json
-{
-  "model": "ggml-org/gemma-3-4b-it-GGUF:Q4_K_M",
-  "messages": [
-    {
-      "role": "user",
-      "content": "hello"
-    }
-  ]
-}
-```
-
-For **GET** endpoints (`/props`, `/metrics`, etc.) The router uses the `model` query parameter (URL-encoded):
-
-```
-GET /props?model=ggml-org%2Fgemma-3-4b-it-GGUF%3AQ4_K_M
-```
-
-By default, the model will be loaded automatically if it's not loaded. To disable this, add `--no-models-autoload` when starting the server. Additionally, you can include `?autoload=true|false` in the query param to control this behavior per-request.
-
-### GET `/models`: List available models
-
-Listing all models in cache. The model metadata will also include a field to indicate the status of the model:
-
-```json
-{
-  "data": [{
-    "id": "ggml-org/gemma-3-4b-it-GGUF:Q4_K_M",
-    "in_cache": true,
-    "path": "/Users/REDACTED/Library/Caches/llama.cpp/ggml-org_gemma-3-4b-it-GGUF_gemma-3-4b-it-Q4_K_M.gguf",
-    "status": {
-      "value": "loaded",
-      "args": ["llama-server", "-ctx", "4096"]
-    },
-    ...
-  }]
-}
-```
-
-Note: For a local GGUF (stored offline in a custom directory), the model object will have `"in_cache": false`.
-
-The `status` object can be:
-
-```json
-"status": {
-  "value": "unloaded"
-}
-```
-
-```json
-"status": {
-  "value": "loading",
-  "args": ["llama-server", "-ctx", "4096"]
-}
-```
-
-```json
-"status": {
-  "value": "unloaded",
-  "args": ["llama-server", "-ctx", "4096"],
-  "failed": true,
-  "exit_code": 1
-}
-```
-
-```json
-"status": {
-  "value": "loaded",
-  "args": ["llama-server", "-ctx", "4096"]
-}
-```
-
-### POST `/models/load`: Load a model
-
-Load a model
-
-Payload:
-- `model`: name of the model to be loaded.
-
-```json
-{
-  "model": "ggml-org/gemma-3-4b-it-GGUF:Q4_K_M"
-}
-```
-
-Response:
-
-```json
-{
-  "success": true
-}
-```
-
-
-### POST `/models/unload`: Unload a model
-
-Unload a model
-
-Payload:
-
-```json
-{
-  "model": "ggml-org/gemma-3-4b-it-GGUF:Q4_K_M",
-}
-```
-
-Response:
-
-```json
-{
-  "success": true
-}
-```
-
-## API errors
-
-`llama-server` returns errors in the same format as OAI: https://github.com/openai/openai-openapi
-
-Example of an error:
-
-```json
-{
-    "error": {
-        "code": 401,
-        "message": "Invalid API Key",
-        "type": "authentication_error"
-    }
-}
-```
-
-## Sleeping on Idle
-
-The server supports an automatic sleep mode that activates after a specified period of inactivity (no incoming tasks). This feature, introduced in [PR #18228](https://github.com/ggml-org/llama.cpp/pull/18228), can be enabled using the `--sleep-idle-seconds` command-line argument. It works seamlessly in both single-model and multi-model configurations.
-
-When the server enters sleep mode, the model and its associated memory (including the KV cache) are unloaded from RAM to conserve resources. Any new incoming task will automatically trigger the model to reload.
-
-The sleeping status can be retrieved from the `GET /props` endpoint (or `/props?model=(model_name)` in router mode).
-
-Note that the following endpoints are exempt from being considered as incoming tasks. They do not trigger model reloading and do not reset the idle timer:
-- `GET /health`
-- `GET /props`
-- `GET /models`
-
-## More examples
-
-### Interactive mode
-
-Check the sample in [chat.mjs](chat.mjs).
-Run with NodeJS version 16 or later:
-
-```sh
-node chat.mjs
-```
-
-Another sample in [chat.sh](chat.sh).
-Requires [bash](https://www.gnu.org/software/bash/), [curl](https://curl.se) and [jq](https://jqlang.github.io/jq/).
-Run with bash:
-
-```sh
-bash chat.sh
-```
-
-Apart from error types supported by OAI, we also have custom types that are specific to functionalities of llama.cpp:
-
-**When /metrics or /slots endpoint is disabled**
-
-```json
-{
-    "error": {
-        "code": 501,
-        "message": "This server does not support metrics endpoint.",
-        "type": "not_supported_error"
-    }
-}
-```
-
-**When the server receives invalid grammar via */completions endpoint**
-
-```json
-{
-    "error": {
-        "code": 400,
-        "message": "Failed to parse grammar",
-        "type": "invalid_request_error"
-    }
-}
-```
-
-### Legacy completion web UI
-
-A new chat-based UI has replaced the old completion-based since [this PR](https://github.com/ggml-org/llama.cpp/pull/10175). If you want to use the old completion, start the server with `--path ./tools/server/public_legacy`
-
-For example:
-
-```sh
-./llama-server -m my_model.gguf -c 8192 --path ./tools/server/public_legacy
-```
-
-### Extending or building alternative Web Front End
-
-You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method.
-
-Read the documentation in `/completion.js` to see convenient ways to access llama.
-
-A simple example is below:
-
-```html
-<html>
-  <body>
-    <pre>
-      <script type="module">
-        import { llama } from '/completion.js'
-
-        const prompt = `### Instruction:
-Write dad jokes, each one paragraph.
-You can use html formatting if needed.
-
-### Response:`
-
-        for await (const chunk of llama(prompt)) {
-          document.write(chunk.data.content)
-        }
-      </script>
-    </pre>
-  </body>
-</html>
-```
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b36a3983572dca96d70de79649300b4456b419ef95951e4e725f6ed98119e64
+size 88828
diff --git a/tools/server/bench/bench.py b/tools/server/bench/bench.py
index 0c57a2df04a60d3d914b6a443dea87ed9a14b0b1..c816816eaf46f73d304b276e962bb60cb070f731 100644
--- a/tools/server/bench/bench.py
+++ b/tools/server/bench/bench.py
@@ -285,7 +285,7 @@ def start_server_background(args):
     }
     server_process = subprocess.Popen(
         args,
-        **pkwargs)  # pyright: ignore[reportArgumentType, reportCallIssue]
+        **pkwargs)  # pyright: ignore[reportArgumentType, reportCallIssue] # ty: ignore[no-matching-overload]
 
     def server_log(in_stream, out_stream):
         for line in iter(in_stream.readline, b''):
diff --git a/tools/server/public/bundle.css b/tools/server/public/bundle.css
new file mode 100644
index 0000000000000000000000000000000000000000..1d8756d82d78f663094a6b58463a6113a093cae4
--- /dev/null
+++ b/tools/server/public/bundle.css
@@ -0,0 +1 @@
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#0000;--tw-shadow-color:initial;--tw-shadow-alpha:100%;--tw-inset-shadow:0 0 #0000;--tw-inset-shadow-color:initial;--tw-inset-shadow-alpha:100%;--tw-ring-color:initial;--tw-ring-shadow:0 0 #0000;--tw-inset-ring-color:initial;--tw-inset-ring-shadow:0 0 #0000;--tw-ring-inset:initial;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-offset-shadow:0 0 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) 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) 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) 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) 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oBapu4EzBOI/IQpAzgH8M20IZv4DAZvODXPec6rqjt8OrN5CIdYIW6Dkop1CQQHzST9o0YTtk+sL+cD1l+WJOvp0p2E/JMOHMdtPSKiogQHQIQxarMC20y8mzmVa5sFYzFCHd5CwwpxkB2ZfJ4UMDdyt3ylQImbFCd1mRFnmaI36ImsS/FsPurFTipnM0lO5yCOlUrCbaUWQnA/3c0RxuKtyJEORvoMRf4Ywv8TkvisWjVHZLd1FVP34fN+QT0VrVoSWUgxX1NeI17ZWKcmAQ4Mzh0zzKCm5hEmcqSr4zS1cUZFsDTLrFJiJnEvytBu2FqRhtCUqzO/lPcF87OAaiKV28OgpJK1EuBgjiKUGMSxETn/RLJaeB0NQZswyq4H44TNO5hOTZh8pbYEjV3igzugmAyN77ClP5dXRFbcAYYkmM3EpAYd7uB3REyqqX0gmGCguabXUKzKmGAxMoyO10XPruRd2KYDOFTFpRM1bUxJkhyG7QJJ5DgnTn0hFAszbCnXiN8BOqTMEYnPykPvqDd6o1I02ReJt/TsQRTF8EzNHI6DYYJYqroUxQphsNhaGzN6gBQXjxKvjdaBKtbGmXIxMTE22GdxGZwo0FSWJOpEOVKlbQVLpWqoj2qkxBMcRaiC2y0H4O9YnA+KQSYtENllukHCMxGhCYVvNkKeMayKtNBpnydT7C8M9iG7lQ3ACNDhELeMnfsDhQpBA2VYGjlWxl4ELUEAfWjk8WqHfMa1cGEXkshKEu+e4xR9L4vHrxI/vHsdoCQ8Fg+7nm2VLE2sx61LgnjSmSS1kYO4GGD5HH5IvYeRmXpXL5w2tH8dXy2J9bZ8msZzdnph3XciohVykJmn4lthUP+OlqeN1tz7tFmcpS9whf4n/nu6XTMGTX4XMY/K1lNTGSDmafyjDA/W1XYqG3lQHMNsfhVlS0j7qb30k8iyjmDWQ5Zb1QuYYcrFWBkOQjNPzrAclBWJiwFAF/oWZmt6/FTYWuxyp9h6T4kkEu1gEDlUqYri/BCli9zw6I3+E1wda6v1JpmFrT3Wsv7+gG2aMvqGtgjgkC7uAL2gXeoijB5Muriof8uoX/8obGysD7zDLrfs1hURSxo8MugUMZkMi9MlHsVOo5fal9qTwh0lKGTZZsJecdvLoqBBIs3JUTXAk6ZiWbKMGUYeElJLFX/GHo/xWeYbO8Ifj0qWWuTCmZxgyhTR5iKrTEVBoY/YGzL2XIYn1aLbkysxYEOhMsKGnhYi0/u3bQ+KllewRt9Pw7CJru/hKCrbS1XLgt7eFob1oOKqWzsZiIRqYvZQ5c5eOgKd/PrKlcs27QsneL39B/sPr9pq5aF9jVtrNBPSBY9zxFqumPh+4l253SApUALnbplUWNXWRcvAfBqlDDRywEGt87abpiO64HfXU0e5Q3dZY/2GGBrf/PKyuWjZ+JPx73REbsNu2+TAE2xF/4/3QcTxkdsQE5Nxbi+FIGH0YkJUTpdiZ6xLwulcmUyCxrAkDBfpYNeq7vd0yhKocuvfOyUAOI4Zmi0PQcuo2ixw2MtKB7uslTYfRiyjt3fQOMSs5vtIhegNcdA2MQv0fcse483xKeCkmIC0bNLb4uP+RrZdhfP5JHExQLqY+Vv0KbkqYTpQt3lMUT/cewTHfkNJit+jdBoGWse1hLrU6LdPvtVzwZh7rait5bPv6G0cWdhFt2U6ajnin/JMDVVPIksJpLBKdSKmHa5VU9kDfb35mrUJa7vrceUcCfCJHvs5h2hm2bhydjFM+GT9HA5cr6NwuYLW2nmeI20dWwKzKiovTCXoYnPEr5Uq3lLcgqwGgllRL5uBclHHt4iHenUmq5Q2SgJzajkqkwtUIzWGqLwC0k08UgH42kabCFG21KKxPyZhVbkkbTa+NaRxVY1SDFfndCJI8KCD4wuPha2CJqNEsMSEmmcczD0jAa9TvwqgOjUb1FlOo+AuNeYOHWDrabT8tSwnNEhSYsz6QFpWVNPJENU4KBCSwMgGSgoFYwRnPxBpmQt6UDI2shtmRb3R1BVMDsj60JJes7+/C3kTgK6ILHa+ZrQqA2l2Y0wiLx++5laQ0kGlINC/m6ODUPcQ1C3MyUIH/dpIT6rbQwnSS37FpDar0OsUVCg6an3rj7F3owSDPQmFybsWqm+acXiT24iovXcx1HmvWt6VMHBoa8ZE668BPJygaRH9huUC+uxA+/P0PdTfhyBxtfCfNWGgpkzR3jdjeHqK7wc4Yz5iELNziyftuLk7pMtdzbMfsJRYEv3rcMvkYfMEYE31S1VBx0I7JI5dKDz51D4202QU0g1EylkPhoKXLABN/f1AmhpMMbx4owneY5LAPjb+CyKikfg1odqeoLb30a+aHBVqwPQvfI4UqEG4ZY/QUEi/vxf+CBGlFdMVyArHAUOekslyGhzBPOZTOwBULkVJCBjZaJJKV/CJ1zDRi2gYk/aBH9UmM+G7kKyBJLFvsoqCZbdmW7cQk0h7mTbZ5OH8DxeLEsxRhsJaMUp8LPNPAkrmPwL9jNnlUowOkeoN4pFBgOVIgieq0khH1yF8gMKDtrGODq1sgxVnxU5ZVNPBiulHYQYQe1RFi2Xtm0MaVrWQ4S3i12rtBxE9IUY1fxR+hlZNtLsff8Wpn4AdKbYUOvC+8QMVUiANIh4lmpYu27PuRL+LvHcUp06zUou0fMQTSIVIqG0T02XJiHg3IxPTBwILtdOtggRVtjaiaUwOkHK6YTwPOTj42yy2ygBQySJ2H1C77ofecIm3OOgk8eN+lvTNYB7xkPbkHLb6bAuiEldjQcCxcs3PAPMQyUYBgTqptv1jxhwSDDzchDlsOBAZqxFjqYFyji7UYAcVdYBMYM8EzuOyjdo+E9IFLBiY7v7gk8fNl9NSRMk2TwiP4uYxiikEUR1T++pxI16zq+wKjsq6m82Ke4lM2bZntB3c0Vftsg9//VXJjZNriaJ4Tz3TM1wF4mr8UDaS7GhmQ+xPZflyYz1jaadPN12lztCB9qHbrm5SUzItZvFEK2KNg6lsCXRj18w3VD0nGKT1pOseXg2mrc1nw3RLyO55nlRs4iOPA5UJCw7iUf/8Lk9xMj7a9EtfuARZairBoBW6l8Xfyi5iO4QqIdUbsfm4N/Zq2EEEgxgkdBhYftPwnG0xeX4XgWM7ewm+iWkeyYOxy6Hr/rkCc4RisS/keRbJYuPlG0jLVRGGk/CVsNA/SOCaQqbNhG9tiAnVzDpkr2AjxZWV3MrwlK7TmztT7x2pHPXaslnxIAJTEMRDJBwpSXQ3LFXsy4YypTlloItlHqJCsYRUVd9WET+H0A9ODUFe3xGSStFNfPGsZxJhV2btTwnRtHrRbe7f0gtp0Q+93NGEjI7L8rv97nPC8CiJIAmJ1kg29qMhKx72wl4VV2xPV/obOwZ+buBWd7EoKbyTW+gteR64VM8odek6CYgK00SxTT7ZSQmjePqyg99YKATFJNGC1cjgSRWDZVmeC6yAcRMgNFEVf1XVqnLe7kdWKhvKRrhlhgXPICOz+Uho82CZVqWCH0dUwAIDj2RfdzCzMKyY62d5JUVUOVKRLmEPk982lz2EFSAmV6xox3xG7RTPtugqfMOjg5g5SO9l4zbxTIgtZnlIp0xpED3ALJG3aUm1UMvhvTJr4bxLEa/QHG7ilbZpoujQLQ5zSB8zalgWruzEsV+/7Eoh1QrnMThmCd4esVVgWkXEQgY4hE5qaAvBcrPTpMQkPeuF3Oe5K8dLQ1f6uY0VrxhKEmgkGPakSzxEM8SScrUovQMI+WBkkmCOmmxvESE0zYi9GUTAwdot169Wj9NIwuARMfhDkZyiPGH2zKCxsYO40xoiatYhqG2L+lCLyfVp8QGmIzEf9zuNI/hEXeHtET/3q8lD/SwEZyi0SEHNH42uEa+jvUfIXhtyW83fDAgD5psVLI7SET+pMNGqFShUHnwNn4oPmZO8xa7y012bbxYdYU+X4je+TVeBgdkYbTBNd0tOWQ+JDqVWqpbIWAm/xiTYr9tey97yJ7/MQMSoa+wxJ/KN++HArub+IZxAX8rda+5d5e2oIG0h2EGNgGRwJADXxJo99qqiGIf0Avq4XaFcDcPqIhgFg/xwajBMUzp5nnkWi8Zgk24gJemkr6Pl7KDmoRZceorP4No3WjCIJDYIxk2iRXsp88eWXe26uPcPuuW9j3SzHnG31kUtkVEoBuLCDAeaE4Rarx7mOU4QxXL6I8Ds9Ua1ZoIzLJsMb8mRItKWCSFmUxvBoxXioxt1mmgmoErXYjAIRKdNPaXrDcMOWU0tOIZcYvupP+AEdmymE9QzqYGYFkpfIDCHNQd2P5gp5uKVHHO1vGQVEXwp3CWSpddRWTJq4G0CRei5+Nf0JS4m68yMl6vfRLupPWuIYwEhtQ/sQuR9toCnhkcz5BzexwFTNpHhrvsLijJ8HvAxF6EG4hiHvbj0aXhOScMltkpdEL+iVrElRjVdlYSinMCGJKgqL1NNPtiuUpfa1ujpe1E5ygXYoPZM3ZKD+mBazKxsKIAcF48i8Uo0oN5hyGoI3Zgqp5MrCNOn1RglSczK8OevY14vKiF2eY/4yBFgnpgM3KNh/yITa8FZ7gRiaIk3+jb55FqO9EuZ49SH3KsW0nE1ekZXtwUErisaCblyMXT05ElmoCgAFN9MjN+QET2CXAM8WeFlp8yj9pJBjpPYYSP6n7CuWmI4CQt/DFCnE5FfO1JeeJk05+4MBqySWw49Aj4TOtvmE4QW8AOpyZPSiCyGJdRlid70TGKDraQ577RZJMU3Yg3S0QEQxKK9vZkP/jR18KMngtiHaUmHvAxiwnOpS9lb8cgF/AtdNpICrOXwd0pWIylNNbmj8bRc2kIHwgPzSnbjPyIsJ3QzsasWGntu6uyx5fJsdf6fJRZVbt/ilIN4buTWukK3sGB3FErOBuJhqGGxZXtvpfQ2P3L1cuVI4ZxQ7VFk9xDyWUfh0Ewm5BxUp9lp6oxxFvAaZtWBDFCmnZAPTlHJCRU+EuY0V+76I5CFPoVvo/YVE7pGh9/U2vQffJitMG7XWVCpGzTqL74Y2Zo+CQxesjTp0dImANeydpCMzfA7wlJxcRCfVQuZPjQKmcb0iFSz/smm6BR8WtpDTzBwqqiVPotvAilzxhfafadqFWLjjKMuqtd3LasRZRMAv1Qchdihs3cVTckLniZVCASk00oZNLrQAwzz/i0AgUklfRpA72NC5rriaY0D5D2Pr1oI6GEl7gxZODlsbLGM5DsEIr44z0Jdfz66Strup32o04u5pRN+JsNuQXLKo3RFVoh3YxHRuFyCnT/vNCJLZipbIgCBqFQNbFgsvJb2WMyssEyA3ngrjQyc8lVmrks0wJBzUfYEbMziTkUHTUcNIjCLpGLmeio3CLNidEOGJEDZDGxUFSWP0rNpEGOXFl9+OpP+AdyPJWJ6vWQG8oX9veM3loA/jEL6EuEE0C+i37YBuTSLOyDo19PVKuL8KcLwQB+pKXXpe7HQbwA2hrWY9UfEXT3WLDCIFGAL9vO5B0GnZBfVjLgVeNNo0JIVndhrKoVQA4aGGSgVGWjfVC6ODkQc8wPGrlYcHH0ZoGws0zRrWlBTPwo7Pr7ofcPTdp+wtrodPXzYy8L1Y3oAxIVzeM9LUfNwjE6eXDr0Gt9DDFxw28X3kunF7pa1g6GVa/4obLpHrPtCUKgB4+RGJv43vdQIpvhAeNcH5UrmRr5XRQ5KxYZs8iFQXKiTCsVLiHd8K/GRbOi9uAdCpqgnM7dZSBUtQEED4U1Xs8Wpog2pJZtoot1sgyEdiCKaAeq57dw7hoviYRUjZJFRbdsmG5HDVlkNlWCkc78NIhXMMmRyw+gOJAqZwULetbQ3bvBNcFESt6trW7200IlnlWcUsmpV3n+zpQAwo5Fu6VWzXE5IJZI4o70+SASp+5s6Um2+cUR8A6MUAcS0imQXIF+yGkwNYhWlM4eYN0uAkkI4V/0plKbT43OaQpaZ8xpi/VuMS82rCR89w+kiM3L9al3Priyb+zMkRtMPJoszVtBNOqmX5aEv5JfTLU+AsMNEgEWF474/AhynwjK6yY+obsmu1lAmxxCcfcB3Dww1bYB/VkUcxrTjjOT/DeNUBVLxuYxneUZzHOHsAylZlpLG6dYDJHO5ZC6dE0dTBWMok0H/24egp8TMqAOZDN0a61I8V0r3NTcpTg96uyREgJcURe/Z3OA9mYcgxkpe9NSTPmKYpmGmzENKHEVlILFsKtstssm9ny3voZndFIz0bKyRarBkaBC+8+0grxvMdkuYTcjvGbrsiwwUJL8v3zMWAHGuBqAezBy77nciMxhQJ9lGy7O1v9pjXI+0WIz4QDHdJYNn8eY028WKfEqvYF5RhnnImAClp71vaMm/JCQNS6SLOaG4nnwRFeIcXSjk55V/i1Riiw5tpx8FdWAKSiFMpkgdHQHbcjNiqpRP4eWKVkfRcdeNn/N3wXLSyYWpRbYhAI9jzzq+pyfKbiUm7vpgLwD0O89FYpKz5LYYnWZKya+G/xsplkDXD5UR4LXGpFm9P2lRH+LgpWiAXI11aFMBx3rMcA4Y3kOj9Gyj6TLxzTxDu4exHiWwnPzJ+pAxY0YPt4WkOLvn1IMbvHYNL9qd4F9wZ5z52rn9eaxu9qLRbXaoUWSsfiNkewdvdDLd4hIwsv/HK3ckZdenmSsAhEY+ACtkZcuD1h+C6mU8KSo89kgGzao127otwycUydWbOqHdYcZtWwqq6iNdUHi49aHYCALZ2ULOsU/NZ+bpZl8B35puZaxjxYtuH8thXDHMadVSEi9A/ziF67PMbMsEy7DGaZgbGhMLY+1cMk+JMoSDdb7Z6ag+vReiBi03V7pJK/BrYVSHYUr0mK0+A2FIispQ+bB16tOphnm9xTzdDKbY1lYHu1XGVLNIeEt3MovHUyps5Bn02tRq1cH9gXLOz65X7E2GktnxQ3yamSt3ZDn/4hTbM6S2Xj8p0xur1uqYWBhp53bH9I6Ty9HuPCwE+7iIuhN8ugj/nf96WxNkDhB6CVbwYsCSxuslIGdIEy0BrQcNaXkluoQc0VIJTKuqGfDKic+mM3jhraQ42bOxjjoaH0K+Jl9k+VxO78YZRc8ztyyZzegBNmpAhZZUKD1Z+kKrXiM8bWjkvrHLn4eHQPI9RAtZg/51dy64pXfViA9tuAqvA/tjcwO13ZtyqyOSH7ZrL/lVsTCBrp1wUmkIBGSNEEPEeqwd8qZJAGy6+xYHDa/JM8ZI5YC1EFzHIRQyEkp0G3ATfe3X79ETWd14JDAb6rizrNnKVgyj8QnIKKPfgCbrvFb5WjcK0aowelLDCmcldY6sB0qNLnRXor8Wwf1a7LAbUSYSfE26AGW1tKMCkzjUc9c0NVKPDlVZjjpf9DNMabvN4Jgz+7rreglxu79ihSsUdoJitS1d4rFnwC3jaBsteU8gT/x9rThq7K0atxyF7OWH7LQ2YUuMiC/UU9UbfiuJyEOkDm+9NDTiOSYqF1fiRB72t5K5W3fk61uML/YIBjnWdsa+ekObiwlAWH/Hsp/cNsLLyIfuP8mEYhXnfxY+Isu5bVP9AVGTPWCDsiVhf0lq4c5CDTN9qnP69NTpOzyup7AP9/cnIuJeavdqWOXu9r9jqLgL70SfbZdcMAoGd2pHLEb16FbxS0ncB7dr2g6mHBYRlGddCkM8s3lXDTWpfEwbD8hSNJOvRWOjdSSRpDEbZMuWkwrmn1Tyo8biEl4A+EUiNs5yoOWiklk6h1UbvFNP+jkTqRloCkvfC/eJ2arAE7g7jCbTWXyxu3w3pAC0QSwvexAEwyXJRMExvBaKEXoF2nWVRoAR9XDScNRq3fGjDLxuDXwADucge0PxtMNYTJJuAOcf0z1YnMn97HD689hGMDwAadxB2Zjofd5vBNF8rYKept1qqhDPEYxC62VlnEMHAZy30lnKzrlC3MlWQmCFxegYgg+nNo/pflqE7YqLGHAEUBLRAE5IR4yZ89rC1suSlXKqcAKGtei2IC6QZLImrp5rf2TKDmpP/IlvNa1l3z11Gk+sijuGd1jtM/DgGdoXloS+O0qTuI0QlNxI8tg/2DuHiBNCAf9e9bZ0/GSK77ozbP2A+4neq/tfcLb7T55dUKt4GGFDv35wbxSMaIc+CsCJAfuoVHIWt3Ct+KRTkDDSMO+hcSzreIInjUKfgEHFvNPDZ6Rr/C7FzquBAYf+6RGETduTlkLx3qd1+VGxMibMbTdAvKbOOJOXw8m+bTLGaw/0ykU+rXTRh9AYsbn6F3iju86xT3zhMBQPhwADU9Jfo4kR4iKPshoDmTTW8jtuk0z21k+AAwjyqp0cuHIorgh12/gE+Hl8Lrdoye2xYndK/1W/704t5AjxskXDJGx247xseLf5TiiP7pw4ZMVT2Ty2SZJn1TzbZpXPpfzhKwSD7xvuEjhwVd4XiAXizj0zLxVk5xaG4TQxmuOeRFwx08kn3Lm+spkXPpX8erJJK21ULmR/E+qUjgvn0JZ7D1BJdt2crcWMHpM0uz1btOHjUEF7r2yl1UwjyyWOBHyYLQDkUBQRqp59VPBwiAg58F+JCl8zdqzwnoGMNTsuk1jSSXKvZ+0Wd0FpzhQYBz+ImKsV1PlpUjm6OldgcrE4+gg65q0WdRhOHpl8fUTBGQ4jWUiqP7m8VITY/zfvbeMd9n4lguQer62dCgcceTYJX1TR8gYmeWvv23Ic7v2epPe0Lvv7wG+TSdFgHV8f3UV6giVXJKMH08nu/6LduMWcC8I1lIccpjZ4w4nGo5TpasfbeAqqCuX9CFYsqu8EGHBvztu3ZBDHOSfg/8dM/pMgRq5HYUqXMCcIvX6TQ5x0irC5Nz0G/8XUBlD4DdtZrYrgmFpTgNd+WGbGQO2khmqD3i5rZO7ZyCWX5bJJoKrhYzlxGFANyotgS/pshl2Mtt/+Cfw772O0LQxx7+qcVT64PCTcjUkbXkI+/eFT65+kP1uwzJKHLTh/b1a1XygAe7JQCG4PRoWNQA7jQSWVdB/H+qo1FCvooEXmIDozehTZLUVZGsS4HNrEsQr+ix4dwhCjYlMHuIBEVobGR9u2Cd+uY6LjNpVKtXCkE3VZlcMTVQFdCnf71AhRIXS8rJQsGtXaO/iGtlbeqmYiqmyMlGMlYJMLC1Lc0IyDNg6l1zF7mNMiUbomgQPcsjISU9GiCyAM61Wv5tq8idc+mNnSR+xtCAN8QocPOk0mnrvON2Mx/I84pK7EVOPWW20IivyEXtUce87drTzqs0wz+FcCZgD8xPcFa8dQ/ICHLEdx1YLm8RsZfItllqXFxfF2SVpKCh+A561ve9BnylYUvMYeqQmXgc4bFPqzAL4zX4BzdEO23+Ab9hPCbQom4UpPOc6V1Ih/Kd6afdjwqcyo8hw1rCYi2X8x86G2Q7oFATdAOvkvrUv5sLpfcbOruS0VhAyBnw7apbjBWG2glWt8lLYQkzvdSMn+XRr/FjXoN2maqyiT4ltkzFn95p0nTXR70QfP2+BJOsemrHV+LDmj8lQXi2/RHHbt4cdOjH5SztMj53MOFlyl1jdRV05UH3302URPjfqaPesWoehJtmVp7nLG3L7lajVfK6+0ECKQv5eLGJtBl0Wz4jhCpvsN3NYPZLT9H4Eo5Vjgc6zkQ5byX2eemFXwa3gFbpOjmB9oKfrxavT/egbswTe/Za5emUaYL3xKqcQqYsScgcUEKYZjzmQJZv8bFnXoKhXLEPLCk7CcqTQ1etpqQ8o4EIuSqmRSWBbV9DYx83jqzZfXmoaHWSq4I7/FbtSuT0nlkATq19KgD7dXtIyFXmWwC6MR6OhTLmdlUXUNlSfwQT1dRavY3Ke/iTiuMbiFUbBMh6rj6AiX/+rMTavurldf0KHD8evfNNi2U6KHYhS5cveiXqiHbLMVpVRscVp8Vmbl7xWlsE6nOxfgXD+lJWjGy5T4pVj0QKyHwx2lLP2fT4aGFybVpHhy2+buYyFJOh06mih/kUTS7Ffi7lrzJsG06IQvtDG6DYoADqf39iPQ3LmnRuXUGp2srL7z8WWtHnOkptA8vTB3QusResxLd1aI40+vreKl5hIeQq2wIswPmQoTvcfEwA5gKAl/6Wnb1LEHas102CIURXheskkopjRnJ3FsJkJAo1Qv6+pv/1aYO771CGpqbi8t70Gc4Yi5zWutDs/uwgC7+E9BfR33QkV0Y1WxaTCF34/Fek1yeJcr52Z0bfOs271W58QkjKiX0nVMsr3oAqrj59NWgOnflXumfd4KCLzpk7joHjWmZXoLvNYi2Dfqg70F2WW+tkpbwqp2f+HmTgVDXaXLE7mzphSVrIYxhKdYdOf/2RZfgvV+D/yysP0/L4bBzR7WxECRjDK59Yuk7B2ZqO9nJsltsh27LN3U8MbEja01TXIVlxNCaPvX7+hYv2M/mvFcT6dzBHadFl6fuCmTw2nAwIb1W3veL7ANAEMb1vLdfN5ebbd5bpZqDS6q+GSXoaMIcFexDFyens1dVfNiRLHrkwoRvmbAVqYd2cujaq5DqHdqZil4/KTb/69bhFqey0biV4NVG5nc8XFxzyTP4uLGycbFxaP5KiMii04yUJHcsnfv05C3atqBB/QKDmS/zJOhrKO5rFx0oUwtEb2bfPF/pm0CmRFd/XUut+M0ShceO51bzsJOYSzhxQ/RmhyLvy63bl9sVNHwhrjAyfKV8d3JrXGBDaMlU0DW7eDDEr4N8qPAJqoVIq6/Q+/Exb4T+htxCWtFwIZCfr4N2wovWQRzdLJ0uONPOlx0t4/SUcVwl/QmKWiKB/EvjUqZDh13MPw3Wc7YZl9JRxXHS/DTVSeDOVl/78kDm1bqi9PXIlok7H2kmxKQUFHV2ClP7RU+u7MsK91EmaNguvRriRRGZ34U9jgsrdy3m5/92qbgxBIZOVUNNiveea64KiM5OTTQ5bI3WeQrU+2ycFOYeDhYV+W2vAecgpq33x4sU5JcTggO//h4YkmmTZMvM1YY1qrVCr1hm0gC0I/udU+5x9RFbl3RaYGSjYhu9dO1z3CCIkM3q3RVpliucxKI0B25V/CFbyzA2j+RAKk4UsiI+unzOM+PUZUtO5ZFF8Q4zPVsQkgdkIMAOxUlYKFV6vRYw7rpGMn1106PnDd8cPEoKmjHgxMLK2fOGZ19NP7j8Znhb9GeslCX+0eddQEyfaFbpwpllHaFRZJixynqoPc3CfWkkgi+N29s3jZHQig73Z1plt7S35Amws+OJWiawbjyI5v+UJp2fdNrwfG0Xsx8DeK389thgYDGuu9F5vTGOKq+KcogTX7mQCpw8zhMpv4ZKTkXwU/jzc8fyM4uezD60DxDQ3E6DiFa9EABP9mVFv93VdBscTa4T9BJkZhny0vCGyB8IuHNKA9M6iqfllY+xyQW8/L8KcUz/ns0ftrkWlmKab4iPtW5cxWYGapgaDJCvrRYu5LFjIhXTPbqP6PN6zn+XXov62CNMA/WQ5/p21RU3V9QyxDDo3V4/RbnRYkjOV2eGzJ5UAMh7PQTicG4koWLMmpj6rPM2b70jhTxjcbXw2T0ftdNr9Pj4kVHvDvpoKqg0zcOG0oJ9l7E21n3P4+DVDIss3WGm7j+mkE0kkIO/nczXR0JqfTh2HESXcLTLFjiWOpsZLF7RhE8xhIUawKBaMXgjnzxv03oOWPRZjzlsj/NBFmvjvFfTQeNqmga9+mMEawY8BahjOGKpY4lhQWNhHIwcgAlSLomOezl/xMnJA9Yv5cko3Mg3XNxztG2SzBOp82LKXguz24bbacqPdHhYQYFG4+CEtg/pZbfJjdHcRN36FPzVAr9UKw4c/dZ743sbpUecwsdv6ldwwAB4PTYWOWN3blj8wsciTkluJ8qMxdpJFJcj3F7lvq6SP7q8vm1qtyk6vL4M5mjzvg01atbTLdERdOnhPgmZebSSLQ+Y12wNVc2JX5mvkOZp2kaZtcylcuPXJnJ7iB8NX+z1giTt2znsxRfpLQ5ipVUEvtoJqP8ZjkDe0vWlR9l6Pge2Ay3JDcbQQzO1KeAs2lit8a0Ty/XMZ90zH7C0nHdJCz2iN3fp6ejdHVVrYiuW1MRXlKTblhlXA01NWP949ap+5S6a1fB+TJqWf2pcFMgaOMvdzEa82/QSbH4el2xk3n+EzCiU/ap1027mJTsWANJa6NqZfC5aPWMGcXFYFhRFxhncEoFaRmFPzSCxgULIYoMVhvihO8Yc1krQIhPKx+zICi8EqVZNUG4dg8xDVMpmXjvur0TRK8p+DAiGc7hBG+M7DRBfoQRkoRUIRYWyJ/cFR3Z6nIVFOzp1bh+6HJ4cse0st05FCOEztZ6uPtBR7BOMHcXdxylo7jjF28dQ5y/Cq7p6sKyYDGQA5Gew5TIYMlwZ6nNS43Ktx5tip8+8Qw2qx3i5WYUjdvN7aZpaTDBHm13BmjL0hs7+2Khqb1mK/jmRKpUoJVoBdLUE99YgXn+AISogjpTxZ3V1gTuxwtTIUSLwNE0EslVGUA7XSfxUWcFPvyunR9cWaOPD6oQaPas5GXFyE5CiPMqJHYixcuS+8Csya8Ob9WE6TjLF81SsWG+dD+Hdw2yrCz2zz/DmI7HihpDtTSHENrn1eBG0l9v05orNM7joY3efI9vQpI7djjWmPxnx68ZMh06a22x4X9h1bfP0QZ6p0a8qqs2tDmqBN/18SMGwED2kUZzfsV+ZetEMduPekixiPQc3R4j0rGLDUXiHxrQssNhRrnktkNBvFMs4fVfbcuBIo1sn0qaomOrZBijXEVmhus4RctYHSKAw5gOZ8fOgH5gbJ4Q8KCzkTJP5jQaK9Kk/Q8gkcSMQxvB+uHFw0soUix6H66FaDoW3IUdZmD+wxCq43mRY84jB+Avcso2fypdJtRh8KNHAj1zqp2tw3QyVPNu/uSSfsf9tTe+qqlWT906PFXVM4zsW0lydGGarYdfTQZiCYyogm7Pqq2WfFYOXauGBQI6KQYknZBaa85Hob3N6LyjgUKPC+5FFN51Gtvaad3s1ze/frXI8721FPxdmzlFkfJ9KwlVuHMA91gOQuiYF5pbL2A6woG80KBbhaNoy7PCdLdV+P4/g9OPup1qO8zeC0Y2NF9gosFBj4IYrdLE46tCS/M8NAB39sqB3g2uufi/IVlDG752K9mREzcQaPu6xptZg/UR48o9/nu2AK+b+Fc6O1pry3W2M715af9rDmDZIr+Dm20r3ZOWJ1iLpeDH2ulztT76pHKOXSwSij+oKXoebATVUyaT93WiVL6qfZSM00dCd6LVixd78v12utmWm3QBmyMcOv+/NUqMO8EewvBKrSe4E13Fy5Zdhq55zidGi5QcJr0R8iTX7gtQsYMnv/iRP7xhdrnGpiFa7XsrT/S6gtuXJhenBMs5tVxbFVdoK910qT3USYNhODqYLTxECTcIlfv2Iqzt2awBvLK8exKoFMNXVdVJ3CIaOzVYvBy34riqyxOD2xBqGtJgoxu4dO5+Uwy7mcvpYUXFDb2WraSL2mRgWnBo/pphG7DPAf2ejM6cVTyfW+5vKNGU8/3QuWj13LnpeR7OfrBPq8DKnoQY5V2NNTHXntrjE9zxq6LAirxGx6jM0SPd2kLoe1WB+91k9RH8fH8RItkpCnxGsbYwOtluT1FJflpZTLlJ27ycVk9ReUcOb1jWbktz4snVEgjHGKGJkyEBiapPQcRDGG1AX78/aVGEQmsX0SqcqWHi7VpIKJgKG81yHdfutnN1crMRnioQQtrt4rCkZbvn/slopxBUOyoMfuNRKmaNum4lfj2V73/XfPNMoNUwL9yZPy+uyJPAbAME4YXTOkK2/0xIE07HwD20c8x+gTVCx7w3fkoRWye8s8+IwMd+hPbfZlArv39sBdeXbP/dyPCWQY9qgKYThxFCA6GG/gNka/5RVMf9NTRZE11nqIknnAQZTWz4DtTk/5Z6jDILQAq4NlldvvV/0YSOORya9Jit4+r+vxyl5f3gfZ51wXoTFuaE1t8J12H32nvtLB3XQ67+bPERAUz91c/WobwLPfVHMR1RBv+esvk3CD4iVMnNPIGO+WTC9CK2jk6sFyCTTsFQy1ao4uajJ5iOeUBGACZVrlZbs97nzWzVlOO1kWXT6iV0SRiIpzMnR0Vselr01NYAAwbvdQDToeivfTPjYiZbp0a1tjcfbHlHdV8vFIyJXzv6+mVA/qyDg0tDS/Jm5fdDJDPif0wdc1u9y8DQ8YuQg6B6S+W61jYq5t6TJJEOdZ5ism6EfRLi8gHZHSDC08pAnxVzWK5WoDlMLQbxaQj2y89AGcXlUWcSTsZAy87l0bwulscigAXoxD++W6CtW1unRS1fUBS73Cy8+CGDeRJLZHUSFV7WLmjxVx364fS9k2dPg0tabhlq8sdf39M8kbh9a50JzdL8pkGH9LqHIl7n9fyIVHttxk/5cF09yBnN446ujI/SxjBEC18ppfWtNJXAhNmSA/H/66KSmpvlDnkbnSdS1SwTahxYdYRoxbZ0CMEHMY1nh1T1j1q7tF+ECffTVrBgZM1aSKkaV0Q+cXOrp5RRkRx/1/hQfnvzMDk2B8rRC+ISEdVYiBSLzZIuhntd6S/uh88vklbX1IlHrd73CrAuQ8J9kfilE+pbITbdfjm+6OUilzR25RtxMZcXQqgBg6fSeKXeSE2iJ6PM/NYJPib0Mzpb6NDyxGi8DsutN8LqsRCpg1cy9QzLpKW57uoRbhkjrG7a7BLvsubWxcuiN/iR01C8AHdlTVj7KEn9WpGCbX7FaJbxvSnq3LL426Z340JcAYumVRfZR1Fzh8oDscc0VWNmFjD1rMrq9oANG2sV1d9J5meXMT7CCHJc/b13OynuH6Pt2zw6jx3Ypb8HHFcgQFf+oRKf1p0Wk0La7PPdrZuKgdc+QTd263bI0rlia6QOzVl7Ok36QIabcEV+hBuCIL21O7sHJkhMH7tb56zVx+8g1cvmgUfFoKcDp6rFFCm8NyO9oOij+3eE/NjnLxm7slJ0V05b4nYX5GmSTCffnWYW6xQd3iSn4ow9Ylle0nejq1tMEY7LqU1CtnbSJDelVFCe+c0Crool209fwYIQT6a3aBq7A53bB82IY+M67MKVC5gOx1JwaBDMZ0x4rkgkVEFITZfwlUwhA21FBj07jBkeDUwZYZpiYLMoIBufF+3f+El8PjwvaEtZMDI99+PDYh22fXQlSViLpavTuk3sjmPAthQqeEFfx4JoMPiSF69gYFRqokMXK76veymWdn+Mcvo3M3LCNtJN63GBWByAL9Rn4Nvjx1PKMNJO1zEvtDNqOYplEF3HddKe5mbRoJkftN5LjGTr0KN59RcwHaOTYJijRi+ATn61OjXd8Nrtl7YPan26YawdnZ84bD99OQtGMjKFBVnVUX7XW8sO0ZZ9cGqjIZDia6iFhTmCGaok5wxbl8Pm9WS0zvfHA4bjBZHALRZr0tCFsMdq0PXQz5ewTyq7+/3MX5ilb129BoH3P2VVPzVFyJu85OgpFHpAKj8wjeUndDUxf+dO3aGwuW9iwkPe+lyUMSfdyBcNu7ije0upSKbVN/rK5wpnxqRQKdTrwAwplJCYIlF500EEtP4aGx7uMVl/0no8cYLSBldm2x491qM/nZ9anrHw/0OuMbkrouW1ds78Uuj33zVyBeASQZVwMKLMwUYOw0e09nNuu6X9QIDg+518RS4+ecmyu5L+Fx2e3qARfRV3Q0RMpSDC9f9JE+mlMWg4N4JOovQEDjCTH1unnK2u9ojR+UtNdIau21Bl41ID7322IO8F4aSTnqDHN+rYpMFQcB/GCBVaaQacx3XET5SrsuoKIohf1yBPp6bZ5O8g7O5FXINB++DZ/OvzmCM7NxQeQheV8rUfDOgGloHpoHpEncB0M6LVWrXOsccWb/7Tji5eUKhh2jc+dLi8eqGOgxN0LxEVrt3A9EN8Q4IB56tOj9Gj742V8vCvD9fytmiV1aVbgYLZYCzTs8XIFovRwCFbfFRaJ13H7hJQ/QFBjoDKWdhKS3t2pEOiQ5eX1jzBdLzaRJpxjnGOvCBjC4avwGk69GKfHsfK3wq0k2J7UeKCAdMxLhQ5i+g6FNqKPP1zot9CUmaQNJA4L/hstZukLLO72l9tFenQ7YEKwJfOAB+KnxU/AzlELFQ1+ReoB3GBDl3urbrH0KHXngS921Edz00DphdfpuWn+4lBEr0brmMYHAkpAUyXzEaySifP3oaYmfj7uEFP1zEulPj60YZZ/vw0NLPtMvkqM2gtJV5mEPufcSVVJFOHsCtQyD8ejAqozRj7JxYsFqNJtrgzQt4fOwyGBi7/ky8tKpbnfe+p8YlMvo6xPVQNYzpmEtH4FkrsjO9k4l0kokNn+yzDdB27R0UUfzb6h2/HVFrxWGuMGI1FYeZ6GAuGWBzAQO2Vf/Yf/Tmra09aHloYCQkEKMQ/DdB3DwFlFJMLCFoTmW4HtHkPJqGFTC165Ck3RPrGGi+LwAKhApSlA+g/joRYdkgWYsc6Ev6TwQQTwaBoVs/pMhSuRQUhDldF8rp8WUW+gX46M3+carwG89L7B3wbHOrZPFKFrnkjG/cUfDtdOqzrqPULbgqL6W9LuacFPMYKlykBeAoxzvh3fCzQAxa8FqW4k425uewUzOCO3UIDg2CAKGoKY2G156Qx0itI3+LWGrAUdHHSaLHw/DaJemPzl19AFlQ7Qoi3HVn+N/8u+nceeUyNCwJkQX7i5OYolig1I29UmzWalDwO+BlNuXGZjofRie/BUEJCCEaWANVoqsi6Jis4odLihXpWnfpxhODr559dlu7gSzBYLBldnCnlHzo/9r6VM5tKep6HIdI5XqORDOJ6GMJlbYKgNWR+JZISuPCJbi/mVGXkl08Wa62x/1yXUaUUMZmUnzAozez+dUprnC7J0xV9yHlHnqTzNBx3J1Q6SGtJlU3z04teTetd7fJHP2S/huUkZjhWroXi7cbAD6yOJ7E2Q1luHK7AIay6QQRLJbBIDEvn/XxeKdiqhjpgsVIsUYpFSZjFLhvh1ff+cpPBWgTax7xGV8yfbo7yra4iqarVnpjQDITHb87WLJfHPrNK6OcgaUlYxL5TfVJ26fhVq6hyDnMdbdKKuKeyp3HEtHd4xsiDn4AlMX9UNW92BQMiDqsTRQufcdi7DSqVbZxsnM29GflbN2GIEf5XITmunOfSox+5DUEhLeXKJwnhUMoAoj+noSvUJWBgLRF1jcZHAVl/wWoJsNx5lvd5gVydgQaFfQvRtAwbYb9t52TmXnRxDA5ovW+TpkeGkvTWG+ydBsX2deZl5/D4YueWtIst5aRGezEh8Fyb2rsmqm0wuiBf+b2UrlszZrHYStMvTBqAYIcTmxiOnWbSI32+lpbW1rYWpQHBbmCwUNPc3OLQGdJQN9IZI6BsqyNo6/NF0pmnMZplQYsiXigWNGkR5E78taeHCaVo3pTfAsUFAUFXtTYuh+xYu7UNd4SXFxktpdAr6MyZwcZKfBlmDyaxz/Zyz1jrqe4/1I76bJ/Nvy8kHfN809+b/0GCh1MNee1QxhsI+f3KZymmKv17rH648ijie1Ut0BXkgvx0SPBRZXp6WokxdV9EstV3d+7SnCmFvrpWN2IPVvMECyhygArzKiFGGEPRmDe+PHbmPtDFDLG5rsO/mh2pxU3f8DTX61GgViOIYisKAPu/ox/kyJMjDV7Ozum+mITCijEhSGkK4yyo0v4Yrsh8X2pSyVRB//sLMtZIKrPdLStq4jJC56dHpe+91o51yyGhmlE480qdOMxP/9XvB0AF/SsWHUSEroxo4tcxYRDc0oLKxfuwuXRWBG/r13W6T9N5kWdVyZ5RrMy7kaXyZBDDU4QUhsgY+ohsZPozybPp/7/495/ssCr3Zo+DYfj376il7HHfqBpNma6qmll9oy1zHd165dx5SiVk64QdzvHxVabctp9rUsy6fkURlIJM2O6XFqjcllCjtHzjxP7DKQQ077LVHN4maZhgqRyysCIPgcbPIJo5zCOjaTBy4ybo2ybyylpC2VOryB2YnZo4MR73vWhb32VwWXWXggaJ2Airjjf5y2yJV78sFprWO8oOQY2f4azho8av9kB2aNTAIBS7rNMd8HJ/tFOzYEz4Guk/JznMtHNwkNV1bFpP7elc6RqpoaGfkas4/p6SkYM9f401h3O2TZN2krmS4jT1wvyUjhUutGaENRWS8fYya3Fjlr3IjLcxJHIp19fcWsDgFCxqOOuGTCnZBZVFZRN2xNiTtEcubXXaydxr3Hi96fa48VEmdOzH+sfkx6/xghAPbm1hpRyCxvnFhM/5zno/ND4Lbux7AyV/q7HrnfpPKlBnpK5Nh1adwk8S+H3gzXSnvbgPQUZ7ijtFgLYtIU4R/P1QzWorBCCT8794Ri1fC8B9dPb2Gf/oVCt+vi+ma9ipGaUPzWHh5ocZpalsDR1iootw/VlHcTt3FhYvDiYfix+dpj4gmBaqYiaEQ7BuIG3Ph3/wkcXrEO8/SMxGOM0FmR2BzmEJLAZCDregyUaHi06ozRKxW63L8MEP022rK5DXry0djqGpf70G2CW4NZsUf1REOwy7WY0T+UWbXbZJHF9++/y/FKbK1Lv6onl1sjxvefDN4Bat6i+V9mbJWNkXPSQC8+o0RH1Wgy0l2dhpYPtxWpgOe9I+BTNX3BwKGf4EErmeiDtFnQhVVSeh13aC6wPb0UHttGfgbDOq+xtGF6NQAvQ6PC1MTan/+OjH9VMoWFv5/5NaU7JJmw+9D0HQtQyBAE4cEx9adnTo6LJQ/JhEWCDYHWBZjZ+eQOpNN118fZkRciCvW2F03e+k+DlJi1SpIUoT9esv2Z5zUxfO2D/1HS7lUCoik24uuTVZ/iDWMKetZUlHSt6Fu2b1K/E/1pA2uZRViTB+VXuRNKqxFVzeXBIdm5ufJkjujNC8pwMRks7ml7bIjSApX8duwKkoiAbJXerkxxR7JrRjmwurVHGqy7sL8PGelYeyieNNhJ9Uu1AeGU3Wz6wcBo89jLuhJDyXTpH0EyX+u/nxHwO4PGg/9uhRN2r7mbyaXH7Xx5zq6vtRofqhL6A0erdc1ffrCSG3I9fJpJsQVsqMZNerz5wsu8fjyHDfOI/TTSzn30yXCFafV8fXaU+uYcIzQ/u+64c+/bSXZwUY+RSiV1Qk0LYz15zU1iUkmJTSiWj9nqtw3H8TZq8Qn0/kGNjekNfxik/D0Cfw1T2oD+KF+EEC1tLomWNnJisv+ROQodkjN7ObX69UyKcKvYvHVjP8TP7ict9swjZVrlj5Ort57L+0QiTBf8kQNX56Jp2mhQlekB+Cq7y1AooVMXuyvDqydnVb2OJm04q45pTgowJV8erIWnn15D45t/kU+mYyCX1Jz+bv8gkpJY12/5tIRbDzrm4KFO9fR0P+OHAT/hTICPSfBPX0O0Z1/2N/niRDbzyLkr1U7e+q/7Ossgfn2H+0ViBRLM8WDh0e2CAi50dNoiTTJXSEYc+7ZTlN3IoNhYdiP21OW27l2RkIvYY4L1ySmEyJNuz9hcbZwvJECT5E3ztXlBS++wwBQfByZ+dNkppIsWfNX0VIvZ3O5TCAOf/ZHSEqiy4TRew+XTR6JcSHMhshb95I3JOErytKijjVktaPqktVWsupw0mjqkX7616w/y/0d0/ln3dZl5NkxWK6FD34LmGatJbGGH8+9yFaP3WiELvBczoKVn69m80M7dr1BrhwNaykwdhJJvXswH5wlcW4CcqNzD8CM5gswWFhCFHYMWgJC+KwmOIKuKrqGYf1x3mEKiTzoJs+iy0lWazrT5yBi7i97HDOvbhiroCXekrv/lkrjZFr8A26KRyHTpxhIDvtXGNgrHJ+5Oy865GcCRx2Nj1yumI6rIrCvwHmP4umdAcLvKZguvfXz9mRkADr4sAQE7VqUM7YpbUJ3SsszoyDuZJw88Y0+zRUmLNEamW62Rw3yzeljO/UN+zkNrAljxRcw79WaXSrn7WvRsi6HuWu4vdljhoOxmGL5vf+ygqxCRvGqGXx/NDFmXu4ezdea13yrp/kW3oCR/d08DCXW4HHmHJN6exGFihrwX5l8YMFmWWCeTroOo2+oRRbN5+PQiwkXVSm2eTrSsr9Hq6Fk86IpbKI8N0HTk2JIuQZFE/otAqjR+bLJWEqMaqfIrfJXfGHCBcN+im1tb1fNugCbWOFlcLnorjWElHZvwpNhFKEWnlTGhPzW+DSkrwNu3P3ytJzxjD0WF59QVSL/1JqxehDpztpHIxbSTHr1/oiGmOiGTV7B83JpojSMlVHe6j8umIwQvtclBEtAW9TLDHL5mUruHmQvYQgRfFDUjCzne7saqBf4RUw/O7/Ho4sjxd5EuRGpfjnd86MZsiQYV/4SwWzR9LNiiPZL/0MVC1uzxUtEhMeVacvB2tRPbhhykmbhiEKGpfAF7FghHAO5Zhh1jUhGknX/jbpZxWCzlQJKCjkUwKe+XX1lUg6jiK0Bno9Y1w6CM7DqxBCG//0O8jQuW8KDaPTaCYalnkBVr68fIkD5cYH/OBVqYaBjOoa+fTIi5i1oPg4i6vPmMqMNMXI3wes+cqXv4myF9p76AnTPOWDqq8cSeseCMiUhKc2houFbN0Go1hY2F6cgrC3iz+7Gp6ETkExrj5DNWHq/OUbnMi18ThS8vUTMR5xlGa1xD2iIC5bReLElxRZN0E1TS0Y/WFS8Tbo7f9/H0/jRWStBBkQKnn2t6q5IHJqCGELOY1SkZTIaex0h30bxaXcYY2dRA4chsQYO1EhGwlFTGotUv0NZJtYFI2OkLANrsN91IQpHD+r6IoOootgPH9Ml5fE62AbTCJ0moCF9ndHWmvbHoyTjXvQlujK14jA/5tG5h93crR36UwYgdgCTqNE3SO0N7U6RP14v0PU1Cq0NxqljZw+71U+fUzhP+Cz0PzjwkuO6cLzYREd0l3xczj+CVN81MwxYQJVwT28PnmB5nfA+jm2mGOCvbm9MHK6wROnehI2W+eydCD7UbcBxndz85UmFY0ptcfjGNudS2j/oupbbNTbUcqkqUwqnm9cN5GBf0lc46Y8xIQuTiqodu1Ng+mT9G9zAXawuq7SEBPCYDnjilgGPKoRXrT4n38WDtEg2rfM54xhaMjn+/rJVze9crzFUrYVuD5ATOhn3U7mE2Xm56tQTIKk73VVJxUsRk0IY6u5pE0mMbPRABr6TA0NGQIwdgajQYKhoX//XbgIatTghiKWM44Far5Ee521phFauPjff4YWUhCCvYOhytdCEMPLCgqKix0QkDPlbeaSrQztZ5eOSDB01eeZyidOZjcI7znTUtYioOQAcoygMTQ6nhhYUN/7NJCFC//5Z9FiuDFqFmIganDa1S4HC1bYFhhWQPpJdDjNhHdlIHVvHI6tQzLzvom2T0G/yctE1pHr6EMHgP3x4sZie9oRMr/vbXksUu1ZPkwKZGnArG0M2tOkAnJ4dyeG/mpKA5nfhhhYyuoBf8ZyCM7Q99Fxodqf1N9SqOI+kzwD5reMUEO05rnOH5rz8tW1frUQ5xTnZ62YW7g6BRz9jS3gBH0ZiybmZYCeKLy5YUQ2wtMEOsf50rBoQzODt2MomDHsC3JgE+MDHRre0NFbcaanLetvhDPAOu7ThnUalTOPhgnY9am5w0tcK79cHmQFlzdJN/YnVlbYuDgTyVM5Nesa/k5V3ANy1qCOCGOgxbJm2X+qXv7A10dBispoQ7CDwGA4FXj5XxRu5nJSdpXG9W+V1UNChML1MGaV1fdvLY3blcLhNsPof9/KKaA3LuLwrIsW+iNslGBt4ULgAZYK7og+s86lsYWMetJduHmn85/3aTgNDzsnsSK1iCPAaPDn3crFN9Nf/AosO85ZZAT6U/q3OmSWxfdtDGuy4tYvFKGLr/eXu5eBUwZgUDc3vIpW5wD3ImuElRKs9S9cPB7E/e0r5hIchiXMmmyDXr+C1KZPw+x5NJaoNpCS6lg11wWn7MB3pMBDeZlLU1MCtSIWLU/0Mb56XbECX1FwQV5C/IBFdXHVqkJ5MAbkhfSCAspfyRjSjmC1EYG58wKK9wkuWWdFP7emgFUJYNXXf6HWOpJLvH913NzH4WPr8Lqx4RuvLTnRLkPkjEhoLGtMWDTR1dM7saQqNMnq/kNNfQtP2T0l/2UHtmFnMJZbFd8T362P61rffhvK4REkDdmncgvcanj3RgjCoYH6qVZw7S9qLska9W1OTsJcBkfpL+LVD7VkCAOm98oDfm99iitqb029JExRKmr2OhyZNo5aLDfbRLgjjioydxeo9odH/xY/XxnmvH6tzc+3svU5SSkGYQnhUdY0cvw+js6nSJAAy0rZyLY10WsFe2+DuyPWmB85ZVtzUyLnA++JUTOzphfhNOwavm336QVoTMmuzZpQ3H2/K0p+DBpVuKvYiDbFJp/KKD/vNy+LKJK6l0ms8b9MQ5YfJY2Fndy+DiGXgczvL4pIil+7fWb2unit/IywAq5ncIX6waj4dhguDgeJO2j2L+y079jCrZu/Yg3lQ28gwZt/oT/eBoo/Jm/d1MWGfk6WNDzlsq62gPFgpZdsqyWcpVz4zDPJszMwt5RwtDfk8HeNB61X2dyndeO6K3lDM4gSNyhibHu4S+Rxu8mqdbMbGLXNdU+57Kut48HK///jneBMEQY623RENrKNs60+d6Yt4Coofi4bcT2TPHMBy71EnqHHEROsA66YRHOGME4FtWpV/DRr3+Cvwn2CH+hXL/gmgjMPp6ZAHfC5JA7BmYk6Tm3fUYRyPbJ1xKxRgU/K4wd5fAEfMyi7i5khri6L6Lg3G+zYflJgdSpv2eSfTMtmBU6/CXR3FAQXlvoDHRMCoUC7vi0lsdyWVOj3oV49InsG/kKh11OQrFZg61H0uyc/fGvmM1Xnd1l1dBylWU1OIyAQRu7BXujWvo/ejRoHLJ+WNwwWNRU3PJk4Ji5njCcDi4qhdeLkcBE3s34Nk55e+vD4ojAhgZhWkR6bKTbeDgDkGRNaNlPFY2R1RrlzHWMzhJ0hfkat8Nf0jOCNuzy2/vP0WlDonFNqzSwpGFWdda/NWR9QvBuj/GJ13kRfQWHPN3sjS3x71kja5QfW/Eabt7DNbuHvMpc9e9ObX3M9x5bXYB+VVn+rVJSsX7X6anEVnzwC1lHcp87fubCwzTJUhNOZ1zE0GbgKBzdZc7nJTMC+Cn4FWQow92E+zqqgrlMVHCwEDGDahMeXGOUcprPc8DSFMDl/FV4HmQXNTKwE9Kv6tShBoj1RlvTSC11QhCNrcf1XMeUHOy1RPShJoM8Pbr8KmB02Pmf2Mu4WuLv6TgGlAtm425EGMC8TguZ/XT7FkFM0JwPem0q/dW08l7XIBVGuzY8et0Wnz3LnCkbTblwFBSH2EokV8U7XuwvmjSJW5aM3wdVFLPai2+CWlGuf7wvNvnrHA3OH6JT2tIAshwPwAsW1Z5+seYwf4szDO8TbBNVhc3N4VmbC2JsRrZ73byT7Z/NXi//W/0KUi/YbY06Di+N5StLUmVxgexCOhZc+zLNXz1gbk2g3vR5MknN4SjbKyM2v2zvMpo6uGv3HF3sXO0GyXeWM4vQBs4Ufbs+pz5XoN8f5tL7BNG5gncm/bagu293sLu5rU1y+1rtg8axHwMXbPIXVVmU1UyzV82pn8s8RP8pp5oIcTURHIqe43oGt2y26XWn5dCbfk8LunreG/2rq71zOsxkj4KJP09s3v5Y7MuMZ58/LBHTun/Ai0zL9SXvDlPk/uBKjPr86pZYytvLU4QbBrFMWLj1oIeDDtHgxPt33waD/6YPwqxCri/F9uALPPlGSa5Xa4OTAzIDt8fF/eusH8CNS8d35eDIXJ/EDGEJTE814uWe03CPKyvZoQWmxvYK+WxanMD3HJVx/FJ4zsQP4yd76+fhdsfTIEDGp7sB+gj9mnzZ/3eWCOLCcJqGJ+/vUV+dOhueawX2H3mOv7Q0gzIP4n769/9tOaOgkgYZSykGikcM63h2PZr9gf+c4RHK9PYpa0UUMLGowYhD88fta4n+bwSei34zMjMFPYfQ5cwWrocWUmqeOUsfZ9ArkYx4WUgEJLANmegtEzzCVgERXjuCKZA0dTabw1QM583MaMIrCQpAtarb7LoAABACEv64N8tmp3t4f/PI4IIKb9Axw/yr1szGQy57D4DguEeAe/tzVGVP1j5EYw2rRakOMHfjQn8TB5vHT5Qs5pJBR8Mxb+Z/oKnGg2T85I3JsC9jGxU6x2LuZb9FKuIZ6YxLu9+ACyWol1sonpyvGdfJFJK1oJTl9fLD5Z7EXdQCW/9ybRj2KMUo2LJdoM9gDYFDrp8aN5RQywmSMzXm1Y3iXk/ULwJabw67bVNvIXDuLrCLb0kyVbdKxcR3f0g1aC4zx1m2KJKnITV5YT3ecbT7nnkLlat+hqZOyEcMzyTMDKGrRoB6CINira7VQl3ltV7QDZ166Bx4p7+yT8VzuT33DZv65PVBEeXlYKJlmC2x/I3qTS4E6Li+dCkXB6DEZx/KfSZ6lvEpOiCIFtiFAMm/xX5VUSpSPgOwK2UhBfW9cb33BJ/ETmV6lcK+xvyttLNXIG7eVsyUChLU20NZEp26lyO+A/GMZd3DOeyWLvBM5XjY+VbAXALD6m+a6/sWNdTXNc0UR7JYZK0eH/2sMeNSeqNr5rDI0HeV1a+fg9NlH8iLq5zL8WA6D1bZ0ST3nLoTguMWCE1i1Dk5nYDqGQHdTJCa620jtNMkv7r/Iwxsryf4hViOWq8dyMVb78JImTq0srLaJMww0Aj8WeVPHhjcGcXDuXE1tbY1yrWGgpobQtKZM8PhPOatrHFwk1zzA7gKal+MLHcbZs7Ktx9U1a5bbreJR11GD6yeU63MTaaOrOjs/uqVc+x572v690wy6kTuuMkh3xsGJ+gVmz7lFYC/KLmjNHjg7odzFfS9rZ7YUUXPI3DJHzleUvHIFdJiGLFCqDqiMvnGg2rUlVm/hbB2X+uFT2dMPgdsdTOKMZRdbu9dvAU83jNkivukq0QjuRUpW+43oTVxju9M0xX8ACnacEeohCNro1fvCHeCXb+c0GO7fp2JiqLWAoWGO7csvNRaL4DSuf3fG1VXV1FTR+YChD88dq+WuFI44D9FouzMiLkJnI+kQk0N/abDP6TaUJVQeQVfXAbdL/GB3g7rVKFLxTg+jPIECEIcJgWTcuAwuvQKXXMYHZnLgAL6j+mr3OXB63J3JGAwIKOB94A1ABICxO5M3VT55fKlzVw0egDkzb/7EfrepZdQbaBmEl1wGQxGITke8bvuISwF/p0yjnxecP10907vj81LgnfsZx8aONeyS7DLU1h5xhQk4P7z6D4uSyuNc9nHl+HFrosGHfxzLuOoY/5F73LpuLPjzRVbgumDvWFC2dR3G5aGH38mHt4C8KdhNlLkxzuYxz63fSddPpXVnt47KrtnIRG9izCPzznC4884cAeYmbAOTs3lU4d1y1p3yUYVntxIkHUpf1NAUWhwea7VJl4Q3hRoWpUPg5Yy2cIg9oSdHY0vM82mYbILNUQJFeSbeGQGWxnDkELNnDo3mK+7+rV6gYnK7SzPI7gjw8m/AhUG+VhIvo7MxGszvq8rq5jJVgtKEhLJZSnpTDOiEGdMlcftfjLOqsusxBIZgFg2CaTAzX5Pg1bidPcB0TsAd+foNm6aJbl1PCqlGwwehE0Ef5G2AchsgIP3O2zO4MamZYGDGNVe6Q+G0s1/6fCQyHjO/+3qEi54InQwpjTyj4R3b+8Hpluvc1VBuA5zbAD5jhlRx6PrEa93GuaK59qVP7aEzJuZEyP1vIBjznk2YGTw+LXbXHXyJMCxPnKvp2r11QtiPqfHvlfDW1hu9tlredFZ0gcitalu5rm/tntsv1pJ9sUlDPRG7Tgim2WPTDovrZq2r0LgjCkS/7CTa5/pqeP0UuHejxdrrTHZp68Q0mhHLE+XZ6MzdBrthN4tuFeXlYUaafL7NzsKF3LByeIw6l+MIjfPaAnmG2aN7Wew9htmBvFJfWYINddDB/Rtpwcw+MiqmwPKtnpOa57UsQWGY2TFuaq/HZSrLrG8oorH3ZZaZPK7ecVOZHTCMFujHXHkkbSZ3+mKdhR3jVjOGEbXg5TjG6kLfKldV5YezzHsnD1r47KHEPmve534pU08DnddoV1F6Q1vKTLjr4cGtX5Ffvbe397dUWerE5zs3nro5XzD/GjV3Ue2p/4ZvWrW8+1O1YNyt1StwvPyjNsjKMrsTk8yfaPnFkYQ7o+mBSGwgCBMOvJWrwDTSJpN8WFBy1Y/HPQrEkE0yvYyTO965ajfATQSRLJ8xR19jTa7M81lMent8DoO2Xwog7wV7onne1FST07aNLpFhwnU3l/zJ5YZA7zTIfPhAjVn6us/DnLPD69VWbAC5NUgoniB3vJ4S1hLbrEWgeV/+zaO7b8C3isLGHnEDaM9uaHQ0nAkc1XBjUEm++tbpTNlxud4ATNbiyM1DSmjHJasNT86GbIFvJzNUYfb6/ksjHSp6c8vdaKygfk6toPkmH4dt4sJ6CImmQSJQLnVPC66He8SZKVjzR/mLiucMA8ksj37/PmvKjI5qUCAQSTCKpw9+3GuVswjD6jSNP6dbP7oStdWSudoVAVp6nj+wfJGALTSMcCSyo1PPQtP/fYzpKYzTXTYK74oCg3MSuC3YyQ3i4Jnk2dl5F3nx1MrFFlSAyVyl/eYDO7k1yw5C0JmaVRMHfznfTY5LE7HBS++Wp8JjL8beC7Cs5b/yHwYXRN8VAAgaBbJe8bkjj6dUb8/jEUAcDNzpopuzj4sh5eTljibD5YG0m/C/2IJ+sFTa290uzp0VKKdHIIwfgqUyeCheKBGSPLIYLy7CiyN0VSqbG4VikfBFIoTbaqSlQMC18OQ2COUKtULe4g8EPRwUYwY5eBDYgwDnBJngeKFYwO6N/KpySz+JfagdfBOKtdRENd9fyAu3jf9K9G9L6VO9NWm8lshetkBcRHm/QHxv+QUh1TCfRY9A5hmMDIrAzNfCjlWDB2EFnShARlGzkXr7feYL+MDbR+FV8C1gecuBmuDveQn4+fHjIpwFw8b447EyPuC1FSEjY8+JutEVBdkyRD5kZbVs+puzvaVRmeL7dh/vj3cm/PhfGk6kMg0jG3UBlQAhTCyVXfdPyVEhyoxX52X4zAuEhrpyyQLepJDXxZ1isjSF9/23NZlqBCK31E76YWbhH5uKgKPHlDqqHVAlVGHqxGiQlEUmXm+O13nteJqCTf9tLEaNjAnGUlzXyFi8WUZjpjdYT5laGS3gxyXm8CxkGY8BiMFKoNtxIgpTvIoNN+eH680E4sGb4z44buYxj7NRlpRXLLnBgLOQNGKMY8xAdfVbi1XRb1gGYzNbN6hraLod5m2SyWdtNyc7XThoIEhZoZDk/l9VX5nEDUsZW6wu52h4cHk+B1o3bKVMU7/FGd93IR0O8ikATFVlnLiYwVhCyFOYds1Z+OfT2zoBnzg7aHA8cHUfMnEhMAhCahwxZgpKbvDhmqL3AmRi3ObSzCCNvbJdXf/19eoopFwSl/UsJqO25cl44Ph/EejaD7ce2f7f4db8VNevT9Js1A1CmIQMoZb3CqBLGhI4Wixinh/UNSHa4oZT9UBHng2RLVZLSY8gNbr/0cHeQG6Kuz2tpDOmRQE+Mua26ZAr2SYGpXx0E9E8dpVaB5Q/14KeC08RYqWFIj0CD5e/JZ9pO+qKaeGemZn+uOnLv/qb/vvzVgm3AMDAgITMZXFMxdZRLXn7H6o58LABuuBPjKwUejZc/nNK5xTklWpsUoPH0jAs4uqNeao9tQC1lkalVudjy4A4jQFa7GWjHNc9vCxbPPGQQ2YNi2IY4FY+YylPoS8pekl476VT/zus+0i7mHSIplRp2ggL55RVljs3WSUCy8b3CePSI1cTsPSeqCbFN1ILDVJQMbjZnbNExCTMipBFtANkQFVjcUHOZLKqMTxGZIJG5FQKKN2n8X+tOAJrbKT1YCbIKSKmzGAoz5AxD1mSpQbVe+kmOGyAVPi2LSImc6ALaK9HQllNdsVruoFKvsIUwJp6xvQZoMhxnSKaBb1HU+bhWIzf3TmLwOc1R+4COHpD0HagVbzmwr4M7iM+lb64jU6N832KbhBHl3GPGSAPpHKaIM4FkJ84iYI9z1IxbpJ/q8+xxoLcB/QxSx5eVpamTCEH/p3C4eh7T6Zuw+iSI2VaE/X5Lj4oEdZOXdvCInLyTFhkaWbt63kqIzlQ1j2Se1QHaQIAPiGOxCmYXd8Ngh5iUAtSqWayNWCJfzkHQ2PcxG907lgPy7PItvhVgkfUMZP1a6d6ilWsRG2vxRzgvGXZyjKfQT4rA9qAqap4A7YAywc2MiuyMtDfZoWZl6FDPijiPvrKshEJJTV6ZYxRWfCMApzZTGHh6a/4gI3L40He8054kyuSzYJbR1lOjadu7dy29KVwkyzFFo1C+4Cu2I+Ox6oKicVNQL7j8JBg6oKs5Usubyfl3SEC23eH8by/O8Lp0u40UcF2p7MnoTtavzu3i4xfXJ7kucfhKqmab/AsZ0GQDAUjnTzipdgtTWkndGlTlCpK3iAh05Q8abTAR9lFiyPAW6aycpFOOBwHlVsGTumE7E/S8u3OR3RGeUnX+c6sLTUafbXELU6NMqcV8DheWvY5AXqJLSdehO6BG8aPUo1U3NNKQq2FMhxqC1TjnDQxlztCtOgvzkyI7MkVXQJMvOo+NsZlXBicEKq9OC0/J/WQX7IpDIhCPfBFR8VGFGFyHhcHYrlJJ3XOWgq8uE+Y43Jur0BsQToByT1NObpJZIa73gJ5IkClwEnSAqYqagOnlHPAw2lpYzQV5kIT7QjccwogR/OIBS2OLLdaG3DHBBxNowmpOxDCcYXx1qpsW2XEO4qkmqCJI26SXqOaQpLHlWvLSxTf/UQ4KuTmk/Fh255dvb0ZRdAV12MC8PGvg2FiYePg4uHDEUgUASERMQkpmTDhIshFUlBSUYuiES2GVqw48RIk0kmabP87jUySpTCzSJUmXYZRMmXJZmVj5+Ti5pEjl1cen3wFCvkFFCkWFFKiVJlyFSpVGa1ajVp1gZlnviV2mmOFQQ9Y5meGLbDVB7b5lMOOJMtnPJZmbMKXfMV9PuehDDNzC0sraxtbOxKSUgoUKlKshKOOed8J7zmu3wUO5FZlhhluhHIjVahUpdooNUYbo9ZY44yPHqJi4hKSUtIysnLyCopKeRAVVTX1/HlNOAKJyleQkxCLwxOIpHxEFCotPxmDmUt+JZvD5fEFQpFYIpXJFUqVWqOlraOrp29gaGRsYmpmbmFpZW1ja2fv4OjkrNZodXqD0WS2WG12h9Pl9nh9o7ptEYpUnAhRCdw8KFvr6hy/gezLdqfHMalWHx3yGmlNzS4N99nvbnPfsLabl7GOYZge0Vu6AoAOBg4ZcKWH1HZ/hvqsyr3x63Ljea/bPYrDnS1d91Ocvm9h+D5K85OOKvN/7T8Ao+GWwfdQe8XFqDViY9QaoTVaGS6IW+ZhukDAxVPQE07OcJTKpygBDcoU7vlZuZyyyT1nr+qRjESPpI0eOpvRaTvLZF5vTkjP01IjoCYX7/SI1nKhum8t54nMCDBJwphUKUiyELB+b/hOiJbEg+m66kZ306EGXblE81vm8Ehnv5tJwhQWtKh8DBuZD9mR46xogIs9maaTPC0D4lInC5P1EpmY6y2QmVhm7ZF1audS9OwZVtmGQkOzTeV2YbEZe0l7m7q28yDHs9FXrnnO+n3aKUFaT6g6eZDqEpFmACOYwmTW6jsQraXrVmbmJRaJZXvdbarG04TNCKYjk7kA+O7ZTXSBI5nROKGnJ0KHWXiqcLm4O+Y2VJr0qZAGNm4XRiM3CbueGSpT7CZI407r8N7qctO7O+oaB2HYbDZonpEGvOnarFMFF3NXWlypkAYu7hbuFDCDBVIhDWzMUWEzucGm6/QNLr1RD/I+AFeLyo5A0JLywxAY2mMdR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Jh7dPWeDV73DTJ2TrttKMZ2Eug2TP6EZJt+aa9feicrXbAZhznQx6UX2G1UP2E+IP4Ylv3lr83kyRMNipMJ9RtGmeByvTTx68XKDirfdFo25rhuEniyFMsqXS1/xiJMf19FH5DTGM6ONb6yksPEjwC7Lm+dp35m04t7hgNaxkQ3D7AbpcgYJZH0QX0DuG+J/5pBjMO63fUrJOnPoChyE68Gj+By5Skp5EFFCA6huao2mYZAvhWImkUwpj8PR0QH6RKFsVo87oOer894GqwDQCynDPIHEpbp4HKEF+kQuQsaB0z6thvPc2eLlExREsBfHCvd1RKZEr611/fD7vt/1ckGz2dAb4oFWSlNv7Vmp7FYJiStFWXKYaOXhnfiuQxyhH0VubwSr1S8jvFUHBJfb8WziN1BDnvfFqL0TJ6aUea2vf35p59V+AW1Uc+zjA6URxpoIGJbmpwcHycTHYA/wEDF5jvSn4M4uJS9YM5HhGl737UEwaPZDVVmxSlheIMzshhJgV6U/8s5T2OcBzqJegbrmnXvnk28GciJvv6rMtmN7+NFL+t9hwvO2Y8Iw87P1TvHLZGCskMizsNpHG/AWvkjV6/eajD5Gj9irvisPwIKoAQAP9q8I431zBJjeGq/7d4xp3LOX02METGyaAeCxBPm0J09CA0uFo/kE4BATXWJLJbhPdXEphVhLn2z8BHexWbcNlxdx/GskMpfpEXBsYGABhR8B5JHLl5LfLCiM7SSuc6bsQeg1/tNR3UsSfNLvwqLMlLtFQ8Nf17pq6+OYAm22RH4nzHb1GnOVnn6iGuiWaKvTLFpUBjPGy0HFwN22HR3fWiEiI7pv089qKhXP8aXqbvlNdGtg+Bo6ghpiXNzt3TRvCja5TK/DhY3QxRdIDZRviwQETeQ0buk8GCg7WDNgn+sxMSgn5h5/DOHVhehVFo66slZcTTJCZMnh18r/kDGk0HUYH5Xj9xcsOHD38455apRyHrqOJYRxCrBLbbav3BIgZ+pQivG6a66fKe0sScl/KLXL69JyjBrgxvUdh2nMxs31HHaGADq2PxRQjoJ7NIQZYyoOS8GJiFsWtL9E/CXw+RulBKFAulh6tXcUjlq0R3Sb06zvyDXHNEdbL0ZBzoUQfuabfD0ZMg+twXcApJeKdQ5bDoQ1Ivh5vza4QuRNrvkACPJp6z5gD5FbE+DUjGWWtUsiJsKS3OBOIgepH4sL1PWlhMgb/oVEPNqGup4PGdddB4SpiSyNeODCowZk7IkhTBv9KmfOBRJLyapKJTMQ0HxIZIhVDxRLVyoUMLhNBY/Tx61mMv1F+0sT2UgzUXLoW6NSVBEPMgoXY5qpcKL34v9smV+DfKocS2GRJga9xzGd/mstAlOWAR9Rqu6I3fw8kZWEGsttUdyJdQMGCh4WyW7LvusnH9viF+l98dFjyVSZRdewDCWOXdWdgsJxyeYbgWHFpa2MOjrcxmnNlK+ncC0rglotHdx6qKczqL+igPRW8PaXim+o+r0/cigS5QyK7Xfip1nhEkGIapDH8+1zbjsu55GFsd/X5m327neqHU/cQWo/eXfihm1nVHbBw6lzvi2vQmV7fLE1SZionoXNHAPd9nR7DBiJjT7Qpo+GK7be/A0TD6kftYwVgaB46Df+Rdfy0LCFxSETdGq2hcFhovbM6ZP2cEHTeeanI5pnKe0plvCXZ/6syscT8e4ScLRCClVkivOMSBvudXKDi0KSYmkCqXSZR0g/VeptQx7MaBiyAY9/Zi07LXLZ5W8BCe9aq5cpbIU5r4tR08LdHyaPg0KDE9n5QJ3shWvU9FhFcjgKHPwwKQpMf2ANgOb1yeUiSURqW3Ea9LXzxuP7C/qSV0RjrC/H0uzgjIoUTuMLm/LVbV8SSdgnl1mpdhID0mk3j0SN+t0sPG7GA7pClzSWvxI1az7EIkQKqcDAGrUBrWdZ6rr921ql+5RJ3lX4gfz7680jvWeymW99oEDrN3YMEIliDFCZQR+NfxU04NRorTISZuZJhZ7jncaYTzb8sj2MJjMNOohYrlQv4a4NGeqi0k27wal1OkjUypcCHSIXeORrS6uB9q64xRrKVdmNx7GI4IlmpYIxek+J0JX0OwP9Z8u2v6QhFCujFsSWYOkM9BUlidPpI47ddZ2nXQXndDHcMQUant+qoF6v0tLQvWXyiQkUWqP6HsGjEZ1/auP+EpJyA7K/3NtKV4xnh2tJCAtiSRHOPG1+y/AXv7TQ36tXs1++zs6dtJi08++WLwoYXZNUy+bI6PygqOBmK+pUpKIHBfTLy3GisZ2kvLblpmJy3GjgZqqTXUWe/N7cQqx7tXGWyEDkFmpLWp/qH1hww+eo+t6U36OiFcYX/KaQYp1GvuphkGIO9lIEJl3CfmCb+jTimVMW0P9zGGzi3bj5eUgqP2bnL9eLZdjIXBXl2mz20VNlkcbOa57TTyOl4z2Rc4DeEA7WsC+ryPUVhjfP9x+Z35DVhY4N59K0xbfgACcZ27f1881SaHphfyx2Bo7shJL4m9kc7S19q05dzT15qjnca2YuqbKQ4GaDfY7+e6NRQfCHhHt3t6j5RNQgGYNFumyV8zVhjJHt4iQ4BbRY7ZT0jUcBaSkBHTkQnCQORkVBiZ89qs+wyjT11hW1e5etEu5HVce/zTedbKFScN64AR0dtt+1BKZ4cfIU9VReM84+7/5Uekxsd//WEEOd3bHqsfziuXgh57TnnYYnJHqhZixpQhVDoJDIczsQbdM3MkLve4uTxicuau01UhwPb0oE0FiR6b78bosdGaVBINmMocliuS212/ZPtdUt86oZaxMi1mh2bUVOtWOOQZnyCOTDJ/jNEuXtM3rkE5JxTmti6LLcJ8mTbuPld8h/T2cv6GV3LhLjuPv8VPHr3xLJAeN2mns2RNmeBwrx3d5M6A76g+BSi9dmr6yNnSfGYTWxsKieC6qj6TpkqqRvh1xZtRvOI73yIBpqcPwh0ZHNezuqHl9THMjnpu2MeOBjIvOJWZ/vFFj84rPtV++9iAqiALOq6OgEd3IJe068Kt47lIxLQ5ba/FJt9ol/Svy5DN8Q30HY04dr99fz18sPSCamYoQ7Y7ACasuCMfZlHOnWqJhqZzQKwBh3/FivCuB3B6SGFu3U2eyQI4cCWgOuHBTKViRsbPt2Fk+QgsWVrWcxPMd7swqw8Ck5xwWvQV5l4sNrYsd0UwtosXz1Ruj0GFeMkjjQlingnDh7TO0rXOB5em57vLBG607ghPWPtqjpozTfIs9D+QEPvoglZEN4ugJjAeVYTQ6tIqlflZ/p2/rCpSyZDIxJYOSIpxEQl401WEiXRr8JPpvlBx89uFmhRPPwIxDWaRy+GIg0HLoPd1+zKZ7buNRWihPNxzMkZhd1fEd3uKcWWnQm1sty0tMDTelfLJpjYg8h3aFFVoGk/9ze5ZEDNAtLoYRQ3LYzGg52FpiDzKzQyi9xJEg1tF0EQU0F1Ze1J2p9cgUCwvksHfnS3ZGXZLm5lQDrujNk99Z574mirrBnMZbnbzIZ6DnkNyUqUtT2xKRIVHhW4tmyPqHMTzuRi71POsYMQp5pFt9VMKxZ43G7ASF6eDcQfYkIA1uQWA0jGoQeiYcx6Fb2fL53icgDCSXNXCaDg2SLdEZNorld6YYpEl/rPWinPvX0jGRfl1mjdYadX+pVtlF+/17xoUqa4UU5EintoLOkN9pvQueF7v/7YOQ0pmWbTOdxdCxRdWpZfOBjDOFqQ6Fvr5xtcXIoRi0aewGQRI14MdKTyiTKGLPRLvDLBROBc4R1Eo7aT9ZN5p2OSzVW7sVBNLECnNXrxXWsy42jSiCzdCCc1FecLG0xKt7sW3UvXvC5wOYbzozSkmXWswbpROrpgzlSi01y2qZga/r2qbu5SWbTpOa0uwI0jtbdCqg5hLLN/NzGD6aUfodfup0k5zyz/npLYBbZnEIMmQ9BAuFytbWGfV2ub/dbScUDcZxIR0A7XvU5nDMuzzHhRQkP+B6Oy3YyUhGMpAqR9S/jg+X8AbtjCtQLSqPYi6ZMAn6DU1oRCcIyOasOWZiot+wrXz3Ye09pJMSjKegAnK9M8cTzg+yOon1zBTpPyWlDOTt/AJKz69f+Z9jWjncxTFbYYFV8bPDvojfzF4ajkKzVaQ5Wjf8qrXMm3ybWhDzGX4xavs+UmZz/RF5mRJjUzws9mNGKYdi5DdBhIanybo5et8mFsxoza5e+JrVEuZJ8OVMqBxBd9ElTFNR3oTa4KkF0gcy1W2mIOBVcgFahXwi+Ya6Zklos1E6qnm91X4LjboxpD8QdiZzgd+9dJreMSVK3fKR4dKMG6DKXhoEFCE25whbPy5nuKXSorUsslvls7lE+FQa+raPhu3uLMbydP8C+jpra6KHQdFcF5zv8T6356gHsr021rduaNXwzNQ3r7wa4lsdR4fnDOgeWC/aONYkqHMF5IE5m8F4/+gjWocYz+7zUsoBeNXlKG/yxHGyJIn6lJMkUSKiu0G8C9CiEoKcVPrQ1VZwzdUjdUA9iJU0VoxWxTNjVe/xKJZ1VRkHO65K2Y8Rq0eq4eFxIBi9tDYrEftt6vUkyB7bfh6BAEnISPi2sb++aSh0NZX4i98n/aN6esF+CBvCVLCS3cP4kBv3X1aoW+fvL//xujeTubasiEyiPozDLv/AUufpa6/QTN2uUlx0/auSORZC5XmwLO1502cF30X0+wmim5i0sd0KVq44uyQTEv3ITFY2Jqw6GXb8UFaHSrqFvm6XnwTmzesGjzMkTR+J9ER6dj/vNdJ09upWr9Fk9Lb6g0B5PW2lPGZuULQ30gtE2YGvXO5gZXr5Ffi1DsUpPz9mDyY8p5Y3OisvFB00J2yBYRnJ0rfpoGZRCebvCWrqGl54PWQSSxo6NhT+DrItmxQuW3tJ5K9M1S939VVUlX8fKuS16I6rlR9gu/oGtji8M6VFyVUaA6UIPkrfHf9ZSX/cSWYemF9Wf0MwP1P2P3yp+ohScVaueP/QJz5EUKElN9934RZk9EWfLJMRPu/pj7bcvytuzH0k9H5dCI//KvbbUOOzwMvz8cSDqDTYe/ASr9EYWRzrsXhSgh3mmIU+kJN3AFUil6f3vViV/BaG7KkroMDqw0UeEgt9Hx7qj4d7wm/xKMfkxgceemvWSGI5YsJ3cXm6uWlZ8kOF3Hcp5tj01fVnvPc/66z3OLjZmVD+6gMu8ZiGUlzuczkWVaUirpyPHos537JOTPB6Fv4Oy8qzTcIpl+Icq3j/jBCbvzcv6PCNzvHb8oINxMvfvK1prVr0bcs9GSt4SfgSXC9onRMubvUOx67/a2N5VVNFser9s0/UmHMfmRX5ojmivD/vKMq568JgH3k7/jdZB+ioG8+ihVWURxqG/8suaaFiGyiyDWgCmgAVr2JtSL4zIqJSQLXkhPjvv2uZ5LWiyy+oKtFSvupVWsizF7T+hzD20J1/OZvbrxiEhnDDakC53GOYsFuMKvcylNPvhtYjL4cEA5NeM9fa7Yvv8+OJutKYv6ahbgTvPnPS2OcHcHOCE2Ia+JWYeat5OGQq/H9PBmKOSCQvFVM1fyeTRzfHPN5wsTz/q6JE4xQEm3YSYTKMjoWg9m4f1j8g3HY+HVsSKn5raUHVspJuyQY+297em8a7Jbbjt3UtJ31VQQmLwwpF2+6d7YzdPLR9gupcZpmJj+WHNo40q25wWxKPbCGf2g6Q2YULmJSP+3lyJiUjQrCBxvSelZbJBhcE3MRzt0JjRU3k4vU9nqc0Y22d/UNzzMsnoJXtKKAKa/sZh7rydbvjjdkwBis5PacEx6P0zlIE7fYn9yyR+nzegq6ca/BHTgg78fyzMWwmA7l6bXDV93C3SuCf+7ljN4zDtK8b4yXckAXiNnKbjCa1KRUaoXWlikRRpuY/GO0OQkuefUHma7Z2XJ5WGNP84X9DRs1bUQixBmuC3oAw23JQPjp+wpBFC9ypvEGUp3oDyCnxAPYw0LZBjNiygYqmUFEYFfCqdLFXYqtbmiHXOAtx6w1zpUcSvAv+12EFwnB+jCfu5yE1F+khkIy8eimj38wGSg3rDGvEyWNRVR6NAVlyPeZnpw7tvzT+HMrUnhH7cqeeJhdItrzc2bEGw0raC5AcxRIeftNL1izCVWXJVf3qKCST4ogGVsIW1xgmyKmGvGdNofSmj+uAxyNdasW0+VmPrgAhW9+lzEC0hKWcvgCPd57vm3RbLBXfQvDevTBS8ZkENie7xXMynkXItlmkVBb4UoCQblp0lH98mqQs2/IRPjr+siECc1VZmb9HlYEYEgcqpLin1OLnIWDvXm6zcZ6Hcb0/vofkWawFNew+oOr4cyHycgFSkHgJq/4cQP5H8g4/3h5WwDS4vJrJyKucXqM0CuKlvvXCheZS4owBfrrFHFUZtxu34d37jnN7RUT4sSfHxItVGXlNIvSOaBohQoQW6xolE+QvZmY+tTasaW2ubqhymzeYCup1/P2rkMGr3bZY4GLl1LuYtgqE/J7wqZA4zx5s4NUmlmpKVIMVBu/7Atl6QgQPA4uUiANlifv8OF85aCHi6FkiTZDEC9dA8/PW9t/jR8Kk8W0fa2WaROOl05QwixY6vCahR8WfoINFSUG+SN4ZsNTaYGJ5SES2ACOXgghJ1tJ9tOJwIw64OHGqTuoSy67vRtBrDa8O2ULQQ30vVV6Q+cz7Nm5ECaL+q+yUq+F/faUBsaQNta8qWJdrJYz/AVLFYCJpCGhi0JgxyYeHActEEaR4g1iMIgDs26PaxyCqdLqvec6MRPNgMGH3FaXKFyWgorTdd/99UBBKdncbPRgvgxQbI+XTss2B8P2iPQ04QwKSVSkd1YYVoHXbyB3Pli3obZaIO7lZw0sEhBlFda3bhR0ATAgiZDiciyB5IIMLgrA3Nq8h/LqjKOJWIdHV2M1YX/zWihS/VvSKVP0LK6fyYQVKkySKSGOwRh0AEqlAOcgwEZjZ3yinpcaL7X+tegHfia5ITg3JR9ipp0jbnh7J5O4VW1pmypIJz3BwdGkkWF+31iwgF3rGn/p7RWfeWw2hntOvkOzP7yzr+eWd2oc7YmV93BWK6lumGkuOapfg0MkYrtXkqSegE+ebau7jMSrFw55QcBnZ3QN16aZ0q6XJZobT8AYqbPdt6Y5BpEvulxdr2mmch+BkGhoLCIrvJMMH8V3NIhMf/eQd26i5QjNCl84jm2/5cszL5wEGgzc/YbB9sHsxX6DEBu0zYdM2lbPCa7R80nyyoWjJY9JpgXEy6F5e5FK2O6Zfkq4X6oczEzy8IFKLLTgfEFB7tDztlNok1Pe8E4G4+y7o5QPi81G30CtvW1NyBOsPWGPiYLPB/J5S6l7yc2NWzIipqXcvWcUOX9jNF4kNilnVl4Tnts/dx8OG9dxGmA8SJO4uZZaaXPThiAjDQXGteA8NjkdhPwqDcCN0uU9Y+Bsb1xtwOz8UqvOX9rfXGL7ZYtxkAp+sfDRbfqz6ko2ao/K+wSuffDLNl+BI+RcsJQnB+pga8bXU1gtf/jreuE+h8JUkNpqMjxfFizxlo2sdUaGLLxq+7t6smF/2aVbCCDCEx2HXadYC83qjDNzvGNqqADQBgcA+0zYieGeYwng6QzB8e/s9hs6BVhEiycKYrp0NfZkafG0TQCAYYKY3IcRNSrBuogjim+dViie+Hzr6g3NDGNqej/JPvHrcdIKBC2AMZiCSQ7ErtpeeKUutHVHGezYLcxtTVocIYlroVT0n/0jhUzW6tmu29iSXdwrreKSCVHrOuJ7D+evhvzpA8bmS87QOK7iTjAMqTPKzaCGsgGleAkv9Q26FrN6VmVSAoIxuxBKbpjsKRGTb6BPtq50KCOEmLDaJP5sLl/8ExSaSwb3f0XU8xbNkqZqwovE7qThEBox8UzqYHxbU6q+6x737X6KFkhWZuM/5RzMjj3we31gDtTO0HHHMQMpfzitjHI14X4XwiEjic8HX6hbHLZ8xfO517Cq6aSuT25t2aeVUftDNHSGrdU2AIPloB8Qq3VebELHhWTFF7XojeE1BcO7jSoTolkuFiArmI7Q7gaEQ3QwxTUmBKR2sTv+QhaFDr34JLWND2xLa/YtPSrbK0xAjTGHKQUaWfpfIX25Ixz8+fF5ETvFWCaY9VVlxqrf1Pty6nBMNMH+BoIze7JKWLlBzrf8m70HOjIv6LRJZPWTQJ2u7GGoyR4gSPrz4a/DoOTAtpJ8De4BYyM/Nz2C2MlGI3MAfuJppyJeEPMqZuXu+zqIaVA7aJ5JfLJg5zgYXuAOE+KfqS0zCSBVFmYTXp4VM3p+uXrRmdO3IDgHxEymENc6ISBqGld690A3Y5V4R6Ch6ZmHDobkDqiH1KLZExYrQJC9gvPAd6XHCGA2TGfIGYW07NFYvyCYVdTDLIABYCDLXsHSWvxNYCeMXX4QQuFWWAqb2JdBYDM8ENbGVO2dGBNjxrZK4jcrTzt0WpOvTLgJHaRx1sOmLg8bauQYAGUnyn68SdODWd0MEb2Vo4uerfZ6xf/WS2rjD8o1ex39oeyntOYuLb+nItVcF/9Y2iTKIDG+7E+wSArEADzMAyWoOHVUfraxO+8auvm+R7upG0ypdJ3Cf9pzWYQwfZU2ZQLXR9OdAohqeAxXvkWYzMO1QLVG5pi8qjYbN+gARIaP4nb2GFh2docna3yYQ9NY8U+mZQ4aoLHBYG/t4FSn7cbGkMrQVQRces1QceHOJJEkuzW21FDgLtfENw3X8hMT8zjS23Lggx/n7mlRCzxdrcbCjur6eCjOlL4RhpOgVVJy+6TibRbgAr59tKn6oK9Tyjb64PHrJRvMe/Iywob2v2TbBNG5Y3imAZEjezbsRKSVnIq2sOANZAdBcbyg8kDcWy9jdLZLRsqXpGnNQfOk9CGCMR2++wrECn7zhFlghOFIV0ByAkMJCY5+/BmJeynEBmOzKZZbsH3O4+UZdqSY/z8ptYsW6+UvJfrEfLi0gMVE/c95ZJp+1PLnFeGC+Ofa7UV/2z/0Vq4tQk5TGMwjf6LZ1jq6d1vaT1Y8elfjjHeHaFwq6snmv53qaSeoNraRWLFv1nMU6FYmvro/J1KXJXbPf/KaA58Chrx5Q9hBBrrmmvCg8a96OXyPI0VuJq5wz4qBTUemmVgUknuQy42bD+vpTBvEK5b764HHi+fESqDMh8OAt0VJ/cZHCuaHgUkIumRVpxa/kpSWMtOxRV+QHO/ZQqyKrorZQ8mklNS08qSRhZcsP3wIGInkoJp1uUmXJmw326hyJD+TP5M+EhSpSessDyrQjqCXTPnsk7bJJbSQLOn6Cm3F7Wt2iJvsJTYmGmhC8oFOL7r89VwCXgiSPL51epIv+qraAl3hxhArwSML1vOf/OX81BL6dV+b8aNROqugB2vKTT2Da+iriPVX8joSPL+RUgxX07UHvTRofW3eJRZ9jtGgN9Dylonp7HhObXnYOvpf469effljPSu7C7RrqwgLdpKCkZNqn7rhuvdI56BRkcUnnyWqhBH7ibmVfTsM+mXiFWBhzWPYkwzqMQWAUrhNQbEFYkCoQo/8DMIt6jAnXHE+IKEvmu4xxu4SIGBft9etgMaJ70/2D+yk2m995YRD+bys1vkf2YkuF0hp1g4vvFFtUwgPjis5o5iOLSF4rn5rW1e64UQCDO19M9NBJeLYe+ZpLEa5BgRmUJqVaFLQqVbbb1hjo1xwTjx/7dA9LXeml3Dy3oe6UXrnaLjJu/B8RuhP+GwZrslPv0KJUjlJhuflQGrCkNIugPt3k+6sElVe/CHzYaAHBwfzJYFWTJlf0nIJ6aCaY/mEpN/Z1tD1a+bUlutC2I9ss8PEIdaG0ffeueInjYxvFxhTmbFaS4Kl6UrV/8pl6OoZr2SyCP597aFpX33zwhb8wq/RSvkKb0t/TuzerLn4rBOXeBWDYyPl4Y5gQVUWQQkeLkIgBKmJcSgyMIeLWiZd1qCBXJZ4KsszjDvVoSgUb6mjL4RbRJNVIRk1wJ43znuLHU1E7QBTemmZb6AQE+hyzwJtouXmhTyEWEtvdCE7wURXd8pjkIzEPieiDzdNc7R2rRTZxSb39DsnZkOhhiaHYnwnG+raFy9PR85R73SIpmyv78Lq92tXG7bFT2OR19ABFFv7+LOAIyPLFucKG81+ynGx+iy/U/UzvpvSO4rIdr6Z66CAj1b6iItyE8YPVACmaLMjpNFPfHVx4+41Pf2ARE+oa2LL0iRWMoQ7bHMzT8H1Ke+S6CTYlZnC4/F6Xb0N9nsWyU0FTpu2mHRDs9WYRZzXEnHcUU81MwvqY6XihREzFXLfnqmCPN4sWOgaXmvdY9vNR7JggsCWT1RUVBwp3YC7tqG2oQyGNC3iK0EUZWhQxHbqi0JqntzJ6+/IJvsw2zeXR3nrafJlu+uFpKS11SuurUVGetvenW79SUAOhnHST46uwax9VX8WZ6Waq4WTNXJcv7qulDLutvReThIrmbzCquvc55zYrmuQ3m3M0FtLO/7RgrUXjO+XRNL9lv2wNld97WiYvxo4fltZIJRWfEWqlZ59GEc2dXboKFXqq/6HlQQXsgq+szbfuLXSvScoSkoKg/t1FZy3BRG2tRtlqG3bsmbxmvSV+bZLM/c/C6B2TLol9kcUhjim0KNBMGtaWnMLK2Syv4g5nJCJ8mW++6dRxc50r12ky5OroScpJgFsupyXJLjLHe07rlCkfU+QFI4/mpiQ0DlSSxk+LIjVnzq0nK2b2KPTlWkeelSNSbsAhnz0gtVx9g2Zly5vL4bhYeZWiwB86owxIsbOHpTXqnq29P0RSX7QXNtx7jdpkCijyt8+SVvmvBE6u7wg2K67HgMcTL/D6C69OGyETPmAwr8ulAPapfcXq576q2BL5GVj25xyynsI+fegoT3bVqfe/kwv8/LtHEU4kyWK7a488293SHHnxsfNyez5t/3xnWVrMCIHik6ZEPCEin9gc2j8hzXdESUmW1/FvxXX9nQ3hu57iibc9SuvGm970sTjP/vxDWApiuiCLuQUiZCxcMMdYVJvoVBzui7eRZXhQXOH64rab2iMrMfPb82EseSyiIkX4ppnB3D4cZJcv88IIeCToMo3xMdLtR8AtD61rgKqgyovwGgD/gU+xVVTwcTY2EhLAx/HjcJS/cTgvU9gtmRBwqVDfN6sUyvVvj7XmBKqGZQvk+tthdS7YuLGgxmjS6FX5hI8IFpxihH8kLSOCQRLFzfwgDQJF9RGIzwJahb6LVFsvGGTJLET76TBiAROcJkaHPfrSbBpiCKYLQJZ/JP2xApvVG8DFk4zG1Z/Ih+J2RrD3r4IH75hFAYQINFsQOSUexOSDKMK/77mvs1s+gAtAFueL+3lwzmZ8x1Rlis4ySaNJImEiCHjAoSsjoRYR8XdFfx3MkhJTsDXozRit7EO8QRTRHUBKCPEgBhQipJtETEaT6fKh/nELWH70xrTk7LHkH2CBycgIjwK9ynrpFEyldRQHx//GBusxNWtUG5Kv3XzOzasR/rv4sI+fF1bgTQ+29z+zHdpQJ7mxYQCwnn8ui+blmNpLQceDyU6ssszakWwRIqwIZD+DaQ30mT2Ih8qFJHp1nEE0fo9RqzUV89VvgSKZeALLl+MJE4+5uqJrsfe2J2esNEJb59fWrkxzIjO9Fz+YGo0QrAAWodonDWVnIkHrvrhJiC0xi3W1bghSiFIY24asZ0PsqqF16+QdiiVUs244t/j24RrbF9fmbhJhfSsl7UqJ6LusEbRWR/eqUYvasEEV4rFHm/HZjE//3aaNmTThO9E3hyJMs3g/GlZp+1vBtSd/PPb3qF3SpBEINRuXtK5x/w6YttGjoN4FADXVRFvbAt6y15474tXOFj66t1N0TNjsOiv86Ini14te52Mf95rtItsMMjWxvaKNdf+5vLuKXgX3fzewTT04ulrboPblceKYIzeMKetGv1R0zlzaxuYIEZLNIpidvxvkWeQ2xZU517dQha9CwdysPc+1pVqkuvxeO5xZcw3W6jGLUFCv0vk51hVw8BjkBDh/XOiGxaUZfUJbP4vruLod5a2Lf66T31g2FM7b5ky6YqWZvoZWX91D+QjHiDlgvCl2eL6cMyqMaczSbG7ijO3tGX7NbftYZ0NOYK+nqynQ3BCsD3uWhKl9IrsTC/GTFrY4WsckYpj+YeQ8GmiJyXyLeDpXnaqzOiRh+aBWuyLWfQ8fTnxnxF4eb5CnxIwA67zlWjU/JI/aAqm63PpoCwfKwiu56t8vjfaf8npxAUzyBMuO+KXysDe2ScaE/styIgsj185Wq9N/713y3DR8Hq1tile5SxddPFOVGNq5s1u6V9NuDRXX/sNSJWO2ykxE2q1UUugrNewn1a0rVKlmPw9HibIKn6djYBc6hFWYrnE0G/i2d3Hl4SwC2MS1RQcTWn6IjCqHylIooRXydjp2poCAzeg/DFV6XYmiP5UwKWVw1Mf6etqvEGsSf1Vn2dZ3VSiIr7Qs8QxEIEKKPX05fZgVuV/zi4pcuP7TS0T5vTMOQ7S0Ny9ti197VsPPI1POeqCNUf0d8XXPInM2S2MGFeV+XrdKBg2w9ytSOYW/52tCh6zDxaZTv9GXdRpMa+kgfteCbFIiOFnhyUKIgYYWkhu+81DcwNUieR2+RHvgr/K6+XGRVfSyjF/a2eXxpc64PY6/j286MDNsMNXt6yqckIU/WIHlbJCRqYcFJMmDYyxPh0AwQXQTyTE+ndx/TqTbQowZBh6bn+zfw9YrixbXGTetzf3pBweh/n7Pf6soTWs3g5/Geal1X6tf3sGY/YGbfCy+pGCt5w35oq2P1Tk2JTB6x8DlmWn0sGgmX7Oe4qSEmD/zGWfu2jVPgZd4mXdHBzUG8abS1cZIx8ix7xT8/HPRNa79lv+vWlcVuHRusNiYpzdN1IggVzcUEsckscI3fM9g+jXVodm7KLvD5wwJn3hE5pZiG3JvtPQelhNxIVYJb78mB8nwcEkSZyZ+HO21YpWLLieJq4ytebfvY+rmsJQ34ounykhe1xFwGwEMHXidf9OLJy0FdlWJht5MoYr95xoGRk/yYPcGCRPMVQcXM/IbZcS/C1TUkZbQuIZpCt1pcRY7BS04+eR9/fwfCEi+RD1gO4Xdcr2ET7fD68DZKnDx8emDoZ1zi/+DK0NfirAq/Bhl4aRrIjsWQv6gH/SxFVUG/kHsV2HR5rueZZKXTP9LSV1i4b4oA4U4M1f9s16tTAZJ9iU2Yt5l3ll2Si+tYY7WUBIM1qGHsljd4Smx+LCCRwufQAiul+uzXfe4btmLNolPigdzNn7y8gHzZiHyE0hjcN5hx72aCJ1UNlPgNmGi6ZgulyKMsCIExW6kwjdb+CV0rUPf8k+qbLHLsL9kFhpRkT3zT4igE9V65xVPh2za+BZKqjixkXuqgdvkcsBQviGroWiGnzL3eTbVqRkl+XAU8uslDoUEnT/4/D3zJuAdILPF1e2DYeUDjhnqb8LDFvIsK7ut0xG0iLCQoicI9yKgZpnDDz3/k0Exx4hEp+PXGMenOftnXetU0ZSYsKE3hIb9gp53rneVsIa/krU+ThQtbNdHe7DyN406Yf9l1t/6wtk2CXwEld9XX5v1t8/e3iovkorMrR3qlcru2el/O3+J64zmcEXjB4peIjj+MGfzppgo/mGEbKHkOmJrI3GDKIRIVfmy+KVDCUlQ6YI6pKIPxN23/maMjbccQIRF95BXZNyPDRvthfYekv1Ogp/mY+Ot2EPCcLo9VLxwRTbtnX0F2r6tkjJ8laysqmMLxzKZ6Zis/1ou0Vq5bZjpmlDmXZ9Tcm4b23YYf0RsNArdN9ykbu3LAKfbN5SNpkTim3M2eHyuvFeTN17vL5JLcp9OPgBD+hsMtzFNN2BvPqq6irNS8a/j1evadDxKeplsFSJRONaau8gxJWXae5Mx91/7/e9c58z/3sFGr69fysQuoRzvvltaIpAXYb8+UlbZWEMbiP76xrpoG/0cp4YNt3LHmJchqaTkDojjXAG6tSvG1Gv/5/NJWByd/V25aDtP1YQFNC6KSA2os4PO0c7X193kuGh3Z5s1kZcl8R0vY2vS6QsPy/HgEkaIrnrU16A6fG5evbgdIB/8mkoiFMmnmNlNMxt3c2tsTcaAXHpFMncVy63OC7I5v8tEqQtn7Qtzxe//EFiN8K/ioxZkS7Uts241R+aEExi/t/0ohl3/sF1mZvT5s7b6MKWQgEQsFTcZJQxfeONmBGAs89OKKTowQuS5vJFSpljV1ZxiWuLrUTf5fG0tXUL5IsViwFKSLMwreADu5l/LrJNifZb+kL5vwXIf9TSLSEG9prn0ULtWrkjoGkDLG/VFxIoD+YeZXm/j6/v7+MIzAiEW7hY28mTeq+zixO+V0zR26Kq7ewUGi9BxVT2cA2DevfPuHKeGbRpkCyUXcZgnL8Lu74kFdY8Prn1AmZa33X/yrXvDweaRbS4ReeN/juWNFSc1aoAQe11FwLvGJwzdSC9acf/EJXk7J8SVhDyj7Mf5ojHk9xfIPU+pz9gzngfn9UEjXyMKD+YmN4BctXxxDYMfvNdKxgG48jtw6vEGK93oV7bvPzjCHiNRxRJFFxnWUwnNfxDg8Cu+U6nIMz61e+6m/uRrPgMPQaou6JUlH4b4zscKHodXDcqKk1Wa7Owiz84vXgZIwaOFj8Gu/fesdKt2xIVnBYtmnK8xUXewjbWPchvqG3NEdAZTLbpFSYEurX6dcUtrVHBoFVtSEqnEuZLgih5q/adubvnJSFUD1bBUlaq1hd+NLZX5bEapNAvDAMGQUznLmgKlsfIm/Mw9kWBuWYHjjR+hoVSXzN/bJU2wSVtdGVCp6rFWuWbr42+Wz5jvZMUaR1oqyfLwCaGQiqLPn4KMCK4QynwWew9nTXOfjvO2vrUnN/btSqPs6V9HDiB4TZOpvXufw1Ztqm6rbftGNFzxGmG3fS4jGcJsc3UJua7KoyeFdOmD2N1r/pPcWyHRZk2/mpqkTK/69eMt62/I6d1awCPsakat1scrjTJpFiEe/eT2XePgJd5Rb76sdwvzR8NiaVOlWTPDQjrcYwcUH4Y9R/ezGKBIbHBoLM7HKis8GruqrCarLdFSwSD4eihc4bIrYWQZ/CVO08exeJiBYLOwOB2tzaHS/eUcAIkjndUXw9eg5hw5RDdFwIwOp5UkQMFBIazNx/K0IiiQpWNOsmhJNvjdNIX3peOl1BRlXbzQUXnMORoImtdoyMHlwNoYKMlncd/V+YwEKsq1WXNIA1tRvgC61Gp44NDKypje5RwOtEITDnuVbK4KeddChnSMkwuJD73tLv7hmFVJjhNqiIiZAtqtFMEhWZTnlPKpF+AEbkKOGqUYFqGI1Tp0IkhoUVBJ5q1JV454RanmLpX5WCvA0vKlXYvKcOISz8F7N1U6uVhFgQQ6OZp8LFjuVplU7YCfS1CilfrwUHhbtLIw6CEwyOUCQOBo4L4WrLFxK8xhEkEqpEzk6HdinIVQ8FklAXn+njLCBfbYlSmgeBd1ofISJSh7qimVQ6LOKp3iYKC3d5b6Dzq6b3qsS1b1H5chX4IgaO3hNcevftoQ3dD0LAjCwSC3FV7lXEPHnJLAOJkHdbrCXzzqcHAKfzXAPzk7tmA+5qHW9xiwlDkeRC8w93dcT/NMFWM/ZuhGhqGqq9cy5GHqOpRPkt37Dro5xTxms/ffPN3AOIoMfr8THVDUGLZ3qWqUd46QbBVlw/TMr3J5Scbcw56jTMUhY16Rk6+V5n3C+rjSjs7V66sAciWPbVZg24bNZ0z5fW10zJhnsHldcUbQrULnM3TPtMeZ83UzLzML0AM/Moyfi2j+QZZ+rpjR0zxiqKJR2l5F2X7UoFCic0wtoSgGifI4S16hyYPy82PAvc3p5aqPe3jvwnZS5IICkSCXaQWqPObpW8rQSoYcQ1SL7i6ejlN1O7oryNqMbYZjqpxuLpgD7AmgM7c+oIQn3Ag5HIJrSjtNS7srhnRNYFzSBhsCCBL7kOFigHHjxTCxBy9GBDx9McoU9GKeQGwHY9aLJe1vww9WqmjOCFppzKxxI4YMm8Cx65Ob1TxcKS5XsJdu7OSEDFjtIFd4THODA7KPyvy6rms+PSch/qluRVgm64W6Bxv9tR792F5uVn0FM+e36dIoJ8SyjrZ7LDOy1iJWjuqJq9q4IU1BtJPyJ6/AobxdwXJfYbLF6HH2Mytrbk4iK3M5schBsZw0XCCHZf4KvnoK+v1ZxskrV+z3VP6S0EyV6edizV/OQo5mcqZqC/MfUiO3LMPC+kuhb9ezGAwv8zGeNkIu5qTYkahyim7qx5Xx8pwmPZaPLp2orVgoI/Xbr3aW6RwH5fSC4x4Hc0pI0vmrA8pJrfspaA6Z2nZanQZjmo05DOK/fQMO5I9TEZ6T3ujgbU6PKS1HWE6hlyz9suiesMYvaSjauIKwRBzlmJWFKV6tr3RyzHOrnRTWLRP6+79Qs4gGxwim3+TFjTzWrbg74tNJY7DkFJRU1DS0LKxsctjlyuOQr4BTYR397/XwKlKsRKky5SpUqlItJCwiKqZOXL0GjZo0S0hKScvIatGqTbsOnRZZHBggAAU8gAE+wIEACIEIiIEESIEMECFDhQ4TNvIooowq6miidVV00ccQLsaYYo4l1tiSE3tykxdH8rcnx4jL5XfxorF8eY/pQXjLi3iZHJjowRpieW9/D9xWcKJ46Rpq++XZtXpk2coVSCJHkMRm94v95bwHeQRo72jIG8LTvIesVPgDvQL0knOFdJET18/Fh4/MzqUxNtaDLQtko00JBOEVG54p/soHpvA1Hc+V2OrgkZt3sRmZiMkOZyQ4JvtIsejy+pKBoR7MR+BGzyM3Zvbc6HORK1Z8Ztjtdd+yx1sK1X+HTqb8UQB2XR0B9zee9HQU4h9flxaG8vYrnxmX4bBweWYBptoyguP/pdOAYKIVRGdCPr6b/AEhoNAHC1i4bDviW2hbQj+z1x/GoXkOCl1pjuYsd3gUnwM2xAt9mZdJ3/AxK07uwNK87+Di32/s/NAp/4nX36HQCQAA) 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) 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) 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) 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var(--border);padding:.5rem 1rem;margin:1.5rem 0;font-style:italic;color:var(--muted-foreground);background:var(--muted);border-radius:0 .375rem .375rem 0}div.svelte-15eq738 table{width:100%;margin:1.5rem 0;border-collapse:collapse;border:1px solid var(--border);border-radius:.375rem;overflow:hidden}div.svelte-15eq738 th{background:hsl(var(--muted) / .3);border:1px solid var(--border);padding:.5rem .75rem;text-align:left;font-weight:600}div.svelte-15eq738 td{border:1px solid var(--border);padding:.5rem .75rem}div.svelte-15eq738 tr:nth-child(2n){background:hsl(var(--muted) / .1)}div.markdown-user-content.svelte-15eq738 table,div.markdown-user-content.svelte-15eq738 th,div.markdown-user-content.svelte-15eq738 td,div.markdown-user-content.svelte-15eq738 .table-wrapper{border-color:currentColor}div.svelte-15eq738 hr{border:none;border-top:1px solid var(--border);margin:1.5rem 0}div.svelte-15eq738 img{border-radius:.5rem;box-shadow:0 1px 3px #0000001a,0 1px 2px -1px #0000001a;margin:1.5rem 0;max-width:100%;height:auto}div.svelte-15eq738 .code-block-wrapper{margin:1.5rem 0;border-radius:.75rem;overflow:hidden;border:1px solid color-mix(in oklch,var(--border) 30%,transparent);background:var(--code-background);box-shadow:0 1px 2px #0000000d;min-height:var(--min-message-height);max-height:var(--max-message-height)}.dark div.svelte-15eq738 .code-block-wrapper{border-color:color-mix(in oklch,var(--border) 20%,transparent)}div.svelte-15eq738 .code-block-scroll-container,.streaming-code-scroll-container.svelte-15eq738{min-height:var(--min-message-height);max-height:var(--max-message-height);overflow-y:auto;overflow-x:auto;padding:3rem 1rem 1rem;line-height:1.3}.full-height-code-blocks.svelte-15eq738 .code-block-wrapper{max-height:none}.full-height-code-blocks.svelte-15eq738 .code-block-scroll-container,.full-height-code-blocks.svelte-15eq738 .streaming-code-scroll-container:where(.svelte-15eq738){max-height:none;overflow-y:visible}div.svelte-15eq738 .code-block-header{display:flex;justify-content:space-between;align-items:center;padding:.5rem 1rem 0;font-size:.875rem;position:absolute;top:0;left:0;right:0}div.svelte-15eq738 .code-language{color:var(--color-foreground);font-weight:500;font-family:ui-monospace,SFMono-Regular,SF Mono,Monaco,Cascadia Code,Roboto Mono,Consolas,Liberation Mono,Menlo,monospace;text-transform:uppercase;font-size:.75rem;letter-spacing:.05em}div.svelte-15eq738 .code-block-actions{display:flex;align-items:center;gap:.5rem}div.svelte-15eq738 .copy-code-btn,div.svelte-15eq738 .preview-code-btn{display:flex;align-items:center;justify-content:center;padding:0;background:transparent;color:var(--code-foreground);cursor:pointer;transition:all .2s ease}div.svelte-15eq738 .copy-code-btn:hover,div.svelte-15eq738 .preview-code-btn:hover{transform:scale(1.05)}div.svelte-15eq738 .copy-code-btn:active,div.svelte-15eq738 .preview-code-btn:active{transform:scale(.95)}div.svelte-15eq738 .code-block-wrapper pre{background:transparent;margin:0;border-radius:0;border:none;font-size:.875rem}div.svelte-15eq738 .mention{color:hsl(var(--primary));font-weight:500;text-decoration:none}div.svelte-15eq738 .mention:hover{text-decoration:underline}div.svelte-15eq738 .hashtag{color:hsl(var(--primary));font-weight:500;text-decoration:none}div.svelte-15eq738 .hashtag:hover{text-decoration:underline}div.svelte-15eq738 table{transition:all .2s ease}div.svelte-15eq738 table:hover{box-shadow:0 4px 6px -1px #0000001a,0 2px 4px -2px #0000001a}div.svelte-15eq738 th:hover,div.svelte-15eq738 td:hover{background:var(--muted)}.markdown-user-content.svelte-15eq738 a,.markdown-user-content.svelte-15eq738 a:hover{color:inherit}.markdown-user-content.svelte-15eq738 table:hover{box-shadow:none}.markdown-user-content.svelte-15eq738 th:hover,.markdown-user-content.svelte-15eq738 td:hover{background:inherit}div.svelte-15eq738 blockquote{transition:all .2s ease;position:relative}div.svelte-15eq738 blockquote:hover{border-left-width:6px;background:var(--muted);transform:translate(2px)}div.svelte-15eq738 blockquote:before{content:'"';position:absolute;top:-.5rem;left:.5rem;font-size:3rem;color:var(--muted-foreground);font-family:serif;line-height:1}div.svelte-15eq738 img{transition:all .3s ease;cursor:pointer}div.svelte-15eq738 img:hover{transform:scale(1.02);box-shadow:0 10px 15px -3px #0000001a,0 4px 6px -4px #0000001a}div.svelte-15eq738 .image-zoom-overlay{position:fixed;inset:0;background:#000c;display:flex;align-items:center;justify-content:center;z-index:1000;cursor:pointer}div.svelte-15eq738 .image-zoom-overlay img{max-width:90vw;max-height:90vh;border-radius:.5rem;box-shadow:0 25px 50px -12px #00000040}div.svelte-15eq738 hr{border:none;height:2px;background:linear-gradient(to right,transparent,var(--border),transparent);margin:2rem 0;position:relative}div.svelte-15eq738 hr:after{content:"";position:absolute;top:50%;left:50%;transform:translate(-50%,-50%);width:1rem;height:1rem;background:var(--border);border-radius:50%}div.svelte-15eq738 .table-wrapper{overflow-x:auto;margin:1.5rem 0;border-radius:.5rem;border:1px solid var(--border)}div.svelte-15eq738 .table-wrapper table{margin:0;border:none}@media (max-width: 640px){div.svelte-15eq738 h1{font-size:1.5rem}div.svelte-15eq738 h2{font-size:1.25rem}div.svelte-15eq738 h3{font-size:1.125rem}div.svelte-15eq738 table{font-size:.875rem}div.svelte-15eq738 th,div.svelte-15eq738 td{padding:.375rem .5rem}div.svelte-15eq738 .table-wrapper{margin:.5rem -1rem;border-radius:0;border-left:none;border-right:none}}@media (prefers-color-scheme: dark){div.svelte-15eq738 blockquote:hover{background:var(--muted)}}div.svelte-15eq738 .image-load-error{display:flex;align-items:center;justify-content:center;margin:1.5rem 0;padding:1.5rem;border-radius:.5rem;background:var(--muted);border:1px dashed var(--border)}div.svelte-15eq738 .image-error-content{display:flex;flex-direction:column;align-items:center;gap:.75rem;color:var(--muted-foreground);text-align:center}div.svelte-15eq738 .image-error-content svg{opacity:.5}div.svelte-15eq738 .image-error-text{font-size:.875rem}div.svelte-15eq738 .image-error-link{display:inline-flex;align-items:center;gap:.375rem;padding:.5rem 1rem;font-size:.875rem;font-weight:500;color:var(--primary);background:var(--background);border:1px solid var(--border);border-radius:.375rem;text-decoration:none;transition:all .2s ease}div.svelte-15eq738 .image-error-link:hover{background:var(--muted);border-color:var(--primary)}.code-preview-wrapper.svelte-hp0zxr{font-family:ui-monospace,SFMono-Regular,SF Mono,Monaco,Cascadia Code,Roboto Mono,Consolas,Liberation Mono,Menlo,monospace}.code-preview-wrapper.svelte-hp0zxr pre:where(.svelte-hp0zxr){background:transparent}.code-preview-wrapper.svelte-hp0zxr code:where(.svelte-hp0zxr){background:transparent}
diff --git a/tools/server/public/bundle.js b/tools/server/public/bundle.js
new file mode 100644
index 0000000000000000000000000000000000000000..b3b5673ae952736cfb96b875daae7ef7a106080a
--- /dev/null
+++ b/tools/server/public/bundle.js
@@ -0,0 +1,13088 @@
+var __typeError=msg=>{throw TypeError(msg)};var __accessCheck=(obj,member,msg)=>member.has(obj)||__typeError("Cannot "+msg);var __privateGet=(obj,member,getter)=>(__accessCheck(obj,member,"read from private field"),getter?getter.call(obj):member.get(obj)),__privateAdd=(obj,member,value)=>member.has(obj)?__typeError("Cannot add the same private member more than once"):member instanceof WeakSet?member.add(obj):member.set(obj,value),__privateSet=(obj,member,value,setter)=>(__accessCheck(obj,member,"write to private field"),setter?setter.call(obj,value):member.set(obj,value),value),__privateMethod=(obj,member,method)=>(__accessCheck(
+obj,member,"access private method"),method);var __privateWrapper=(obj,member,setter,getter)=>({set _(value){__privateSet(obj,member,value,setter)},get _(){return __privateGet(obj,member,getter)}});var is_array=Array.isArray,index_of=Array.prototype.indexOf,includes=Array.prototype.includes,array_from=Array.from,define_property=Object.defineProperty,get_descriptor=Object.getOwnPropertyDescriptor,get_descriptors=Object.getOwnPropertyDescriptors,object_prototype=Object.prototype,array_prototype=Array.prototype,get_prototype_of=Object.getPrototypeOf,is_extensible=Object.isExtensible;function is_function(thing){return typeof thing=="function"}const noop$3=()=>{};function run(fn){return fn()}function run_all(arr){
+for(var i=0;i<arr.length;i++)arr[i]()}function deferred(){var resolve2,reject,promise=new Promise((res,rej)=>{resolve2=res,reject=rej});return{promise,resolve:resolve2,reject}}function fallback(value,fallback2,lazy=!1){return value===void 0?lazy?fallback2():fallback2:value}function to_array(value,n){if(Array.isArray(value))return value;if(!(Symbol.iterator in value))return Array.from(value);const array2=[];for(const element2 of value)if(array2.push(element2),array2.length===n)break;return array2}
+const DERIVED=2,EFFECT=4,RENDER_EFFECT=8,MANAGED_EFFECT=1<<24,BLOCK_EFFECT=16,BRANCH_EFFECT=32,ROOT_EFFECT=64,BOUNDARY_EFFECT=128,CONNECTED=512,CLEAN=1024,DIRTY=2048,MAYBE_DIRTY=4096,INERT=8192,DESTROYED=16384,EFFECT_RAN=32768,EFFECT_TRANSPARENT=65536,EAGER_EFFECT=1<<17,HEAD_EFFECT=1<<18,EFFECT_PRESERVED=1<<19,USER_EFFECT=1<<20,EFFECT_OFFSCREEN=1<<25,WAS_MARKED=32768,REACTION_IS_UPDATING=1<<21,ASYNC=1<<22,ERROR_VALUE=1<<23,STATE_SYMBOL=Symbol("$state"),LEGACY_PROPS=Symbol("legacy props"),LOADING_ATTR_SYMBOL=Symbol(
+""),STALE_REACTION=new class extends Error{name="StaleReactionError";message="The reaction that called `getAbortSignal()` was re-run or destroyed"},ELEMENT_NODE$1=1,TEXT_NODE=3,COMMENT_NODE=8;function experimental_async_required(name){throw new Error("https://svelte.dev/e/experimental_async_required")}function lifecycle_outside_component(name){throw new Error("https://svelte.dev/e/lifecycle_outside_component")}function missing_context(){throw new Error("https://svelte.dev/e/missing_context")}function async_derived_orphan(){
+throw new Error("https://svelte.dev/e/async_derived_orphan")}function effect_in_teardown(rune){throw new Error("https://svelte.dev/e/effect_in_teardown")}function effect_in_unowned_derived(){throw new Error("https://svelte.dev/e/effect_in_unowned_derived")}function effect_orphan(rune){throw new Error("https://svelte.dev/e/effect_orphan")}function effect_update_depth_exceeded(){throw new Error("https://svelte.dev/e/effect_update_depth_exceeded")}function fork_discarded(){throw new Error("https://\
+svelte.dev/e/fork_discarded")}function fork_timing(){throw new Error("https://svelte.dev/e/fork_timing")}function get_abort_signal_outside_reaction(){throw new Error("https://svelte.dev/e/get_abort_signal_outside_reaction")}function hydration_failed(){throw new Error("https://svelte.dev/e/hydration_failed")}function lifecycle_legacy_only(name){throw new Error("https://svelte.dev/e/lifecycle_legacy_only")}function props_invalid_value(key2){throw new Error("https://svelte.dev/e/props_invalid_value")}
+function state_descriptors_fixed(){throw new Error("https://svelte.dev/e/state_descriptors_fixed")}function state_prototype_fixed(){throw new Error("https://svelte.dev/e/state_prototype_fixed")}function state_unsafe_mutation(){throw new Error("https://svelte.dev/e/state_unsafe_mutation")}function svelte_boundary_reset_onerror(){throw new Error("https://svelte.dev/e/svelte_boundary_reset_onerror")}const EACH_ITEM_REACTIVE=1,EACH_INDEX_REACTIVE=2,EACH_IS_CONTROLLED=4,EACH_IS_ANIMATED=8,EACH_ITEM_IMMUTABLE=16,
+PROPS_IS_IMMUTABLE=1,PROPS_IS_RUNES=2,PROPS_IS_UPDATED=4,PROPS_IS_BINDABLE=8,PROPS_IS_LAZY_INITIAL=16,TRANSITION_IN=1,TRANSITION_OUT=2,TRANSITION_GLOBAL=4,TEMPLATE_FRAGMENT=1,TEMPLATE_USE_IMPORT_NODE=2,HYDRATION_START="[",HYDRATION_START_ELSE="[!",HYDRATION_END="]",HYDRATION_ERROR={},UNINITIALIZED=Symbol(),NAMESPACE_HTML="http://www.w3.org/1999/xhtml",NAMESPACE_SVG="http://www.w3.org/2000/svg",ATTACHMENT_KEY="@attach";function hydratable_missing_but_expected(key2){console.warn("https://svelte.de\
+v/e/hydratable_missing_but_expected")}function hydration_mismatch(location2){console.warn("https://svelte.dev/e/hydration_mismatch")}function select_multiple_invalid_value(){console.warn("https://svelte.dev/e/select_multiple_invalid_value")}function svelte_boundary_reset_noop(){console.warn("https://svelte.dev/e/svelte_boundary_reset_noop")}let hydrating=!1;function set_hydrating(value){hydrating=value}let hydrate_node;function set_hydrate_node(node2){if(node2===null)throw hydration_mismatch(),HYDRATION_ERROR;
+return hydrate_node=node2}function hydrate_next(){return set_hydrate_node(get_next_sibling(hydrate_node))}function reset(node2){if(hydrating){if(get_next_sibling(hydrate_node)!==null)throw hydration_mismatch(),HYDRATION_ERROR;hydrate_node=node2}}function next$1(count=1){if(hydrating){for(var i=count,node2=hydrate_node;i--;)node2=get_next_sibling(node2);hydrate_node=node2}}function skip_nodes(remove2=!0){for(var depth=0,node2=hydrate_node;;){if(node2.nodeType===COMMENT_NODE){var data=node2.data;if(data===
+HYDRATION_END){if(depth===0)return node2;depth-=1}else(data===HYDRATION_START||data===HYDRATION_START_ELSE)&&(depth+=1)}var next2=get_next_sibling(node2);remove2&&node2.remove(),node2=next2}}function read_hydration_instruction(node2){if(!node2||node2.nodeType!==COMMENT_NODE)throw hydration_mismatch(),HYDRATION_ERROR;return node2.data}function equals(value){return value===this.v}function safe_not_equal(a,b){return a!=a?b==b:a!==b||a!==null&&typeof a=="object"||typeof a=="function"}function safe_equals(value){
+return!safe_not_equal(value,this.v)}let legacy_mode_flag=!1;function enable_legacy_mode_flag(){legacy_mode_flag=!0}const empty$2=[];function snapshot(value,skip_warning=!1,no_tojson=!1){return clone$1(value,new Map,"",empty$2,null,no_tojson)}function clone$1(value,cloned,path2,paths,original=null,no_tojson=!1){if(typeof value=="object"&&value!==null){var unwrapped=cloned.get(value);if(unwrapped!==void 0)return unwrapped;if(value instanceof Map)return new Map(value);if(value instanceof Set)return new Set(value);if(is_array(value)){var copy=Array(value.length);
+cloned.set(value,copy),original!==null&&cloned.set(original,copy);for(var i=0;i<value.length;i+=1){var element2=value[i];i in value&&(copy[i]=clone$1(element2,cloned,path2,paths,null,no_tojson))}return copy}if(get_prototype_of(value)===object_prototype){copy={},cloned.set(value,copy),original!==null&&cloned.set(original,copy);for(var key2 in value)copy[key2]=clone$1(value[key2],cloned,path2,paths,null,no_tojson);return copy}if(value instanceof Date)return structuredClone(value);if(typeof value.toJSON==
+"function"&&!no_tojson)return clone$1(value.toJSON(),cloned,path2,paths,value)}if(value instanceof EventTarget)return value;try{return structuredClone(value)}catch{return value}}let component_context=null;function set_component_context(context){component_context=context}function createContext(){const key2={};return[()=>(hasContext(key2)||missing_context(),getContext(key2)),context=>setContext(key2,context)]}function getContext(key2){return get_or_init_context_map().get(key2)}function setContext(key2,context){
+return get_or_init_context_map().set(key2,context),context}function hasContext(key2){return get_or_init_context_map().has(key2)}function getAllContexts(){return get_or_init_context_map()}function push$1(props,runes=!1,fn){component_context={p:component_context,i:!1,c:null,e:null,s:props,x:null,l:legacy_mode_flag&&!runes?{s:null,u:null,$:[]}:null}}function pop(component2){var context=component_context,effects=context.e;if(effects!==null){context.e=null;for(var fn of effects)create_user_effect(fn)}
+return component2!==void 0&&(context.x=component2),context.i=!0,component_context=context.p,component2??{}}function is_runes(){return!legacy_mode_flag||component_context!==null&&component_context.l===null}function get_or_init_context_map(name){return component_context===null&&lifecycle_outside_component(),component_context.c??=new Map(get_parent_context(component_context)||void 0)}function get_parent_context(component_context2){let parent=component_context2.p;for(;parent!==null;){const context_map=parent.
+c;if(context_map!==null)return context_map;parent=parent.p}return null}let micro_tasks=[];function run_micro_tasks(){var tasks=micro_tasks;micro_tasks=[],run_all(tasks)}function queue_micro_task(fn){if(micro_tasks.length===0&&!is_flushing_sync){var tasks=micro_tasks;queueMicrotask(()=>{tasks===micro_tasks&&run_micro_tasks()})}micro_tasks.push(fn)}function flush_tasks(){for(;micro_tasks.length>0;)run_micro_tasks()}function handle_error$1(error2){var effect2=active_effect;if(effect2===null)return active_reaction.
+f|=ERROR_VALUE,error2;if((effect2.f&EFFECT_RAN)===0){if((effect2.f&BOUNDARY_EFFECT)===0)throw error2;effect2.b.error(error2)}else invoke_error_boundary(error2,effect2)}function invoke_error_boundary(error2,effect2){for(;effect2!==null;){if((effect2.f&BOUNDARY_EFFECT)!==0)try{effect2.b.error(error2);return}catch(e){error2=e}effect2=effect2.parent}throw error2}const STATUS_MASK=-7169;function set_signal_status(signal,status){signal.f=signal.f&STATUS_MASK|status}function update_derived_status(derived2){
+(derived2.f&CONNECTED)!==0||derived2.deps===null?set_signal_status(derived2,CLEAN):set_signal_status(derived2,MAYBE_DIRTY)}function clear_marked(deps){if(deps!==null)for(const dep of deps)(dep.f&DERIVED)===0||(dep.f&WAS_MARKED)===0||(dep.f^=WAS_MARKED,clear_marked(dep.deps))}function defer_effect(effect2,dirty_effects,maybe_dirty_effects){(effect2.f&DIRTY)!==0?dirty_effects.add(effect2):(effect2.f&MAYBE_DIRTY)!==0&&maybe_dirty_effects.add(effect2),clear_marked(effect2.deps),set_signal_status(effect2,
+CLEAN)}const batches=new Set;let current_batch=null,previous_batch=null,batch_values=null,queued_root_effects=[],last_scheduled_effect=null,is_flushing=!1,is_flushing_sync=!1;class Batch{committed=!1;current=new Map;previous=new Map;#commit_callbacks=new Set;#discard_callbacks=new Set;#pending=0;#blocking_pending=0;#deferred=null;#dirty_effects=new Set;#maybe_dirty_effects=new Set;skipped_effects=new Set;is_fork=!1;#decrement_queued=!1;is_deferred(){return this.is_fork||this.#blocking_pending>0}process(root_effects){
+queued_root_effects=[],this.apply();var effects=[],render_effects=[];for(const root2 of root_effects)this.#traverse_effect_tree(root2,effects,render_effects);if(this.is_deferred())this.#defer_effects(render_effects),this.#defer_effects(effects);else{for(const fn of this.#commit_callbacks)fn();this.#commit_callbacks.clear(),this.#pending===0&&this.#commit(),previous_batch=this,current_batch=null,flush_queued_effects(render_effects),flush_queued_effects(effects),previous_batch=null,this.#deferred?.
+resolve()}batch_values=null}#traverse_effect_tree(root2,effects,render_effects){root2.f^=CLEAN;for(var effect2=root2.first,pending_boundary=null;effect2!==null;){var flags2=effect2.f,is_branch=(flags2&(BRANCH_EFFECT|ROOT_EFFECT))!==0,is_skippable_branch=is_branch&&(flags2&CLEAN)!==0,skip=is_skippable_branch||(flags2&INERT)!==0||this.skipped_effects.has(effect2);if(!skip&&effect2.fn!==null){is_branch?effect2.f^=CLEAN:pending_boundary!==null&&(flags2&(EFFECT|RENDER_EFFECT|MANAGED_EFFECT))!==0?pending_boundary.
+b.defer_effect(effect2):(flags2&EFFECT)!==0?effects.push(effect2):is_dirty(effect2)&&((flags2&BLOCK_EFFECT)!==0&&this.#maybe_dirty_effects.add(effect2),update_effect(effect2));var child2=effect2.first;if(child2!==null){effect2=child2;continue}}var parent=effect2.parent;for(effect2=effect2.next;effect2===null&&parent!==null;)parent===pending_boundary&&(pending_boundary=null),effect2=parent.next,parent=parent.parent}}#defer_effects(effects){for(var i=0;i<effects.length;i+=1)defer_effect(effects[i],
+this.#dirty_effects,this.#maybe_dirty_effects)}capture(source2,value){value!==UNINITIALIZED&&!this.previous.has(source2)&&this.previous.set(source2,value),(source2.f&ERROR_VALUE)===0&&(this.current.set(source2,source2.v),batch_values?.set(source2,source2.v))}activate(){current_batch=this,this.apply()}deactivate(){current_batch===this&&(current_batch=null,batch_values=null)}flush(){if(this.activate(),queued_root_effects.length>0){if(flush_effects(),current_batch!==null&&current_batch!==this)return}else
+this.#pending===0&&this.process([]);this.deactivate()}discard(){for(const fn of this.#discard_callbacks)fn(this);this.#discard_callbacks.clear()}#commit(){if(batches.size>1){this.previous.clear();var previous_batch_values=batch_values,is_earlier=!0;for(const batch of batches){if(batch===this){is_earlier=!1;continue}const sources=[];for(const[source2,value]of this.current){if(batch.current.has(source2))if(is_earlier&&value!==batch.current.get(source2))batch.current.set(source2,value);else continue;
+sources.push(source2)}if(sources.length===0)continue;const others=[...batch.current.keys()].filter(s2=>!this.current.has(s2));if(others.length>0){var prev_queued_root_effects=queued_root_effects;queued_root_effects=[];const marked=new Set,checked=new Map;for(const source2 of sources)mark_effects(source2,others,marked,checked);if(queued_root_effects.length>0){current_batch=batch,batch.apply();for(const root2 of queued_root_effects)batch.#traverse_effect_tree(root2,[],[]);batch.deactivate()}queued_root_effects=
+prev_queued_root_effects}}current_batch=null,batch_values=previous_batch_values}this.committed=!0,batches.delete(this)}increment(blocking){this.#pending+=1,blocking&&(this.#blocking_pending+=1)}decrement(blocking){this.#pending-=1,blocking&&(this.#blocking_pending-=1),!this.#decrement_queued&&(this.#decrement_queued=!0,queue_micro_task(()=>{this.#decrement_queued=!1,this.is_deferred()?queued_root_effects.length>0&&this.flush():this.revive()}))}revive(){for(const e of this.#dirty_effects)this.#maybe_dirty_effects.
+delete(e),set_signal_status(e,DIRTY),schedule_effect(e);for(const e of this.#maybe_dirty_effects)set_signal_status(e,MAYBE_DIRTY),schedule_effect(e);this.flush()}oncommit(fn){this.#commit_callbacks.add(fn)}ondiscard(fn){this.#discard_callbacks.add(fn)}settled(){return(this.#deferred??=deferred()).promise}static ensure(){if(current_batch===null){const batch=current_batch=new Batch;batches.add(current_batch),is_flushing_sync||queue_micro_task(()=>{current_batch===batch&&batch.flush()})}return current_batch}apply(){}}
+function flushSync(fn){var was_flushing_sync=is_flushing_sync;is_flushing_sync=!0;try{var result;for(fn&&(current_batch!==null&&flush_effects(),result=fn());;){if(flush_tasks(),queued_root_effects.length===0&&(current_batch?.flush(),queued_root_effects.length===0))return last_scheduled_effect=null,result;flush_effects()}}finally{is_flushing_sync=was_flushing_sync}}function flush_effects(){is_flushing=!0;var source_stacks=null;try{for(var flush_count=0;queued_root_effects.length>0;){var batch=Batch.
+ensure();if(flush_count++>1e3){var updates,entry;infinite_loop_guard()}batch.process(queued_root_effects),old_values.clear()}}finally{is_flushing=!1,last_scheduled_effect=null}}function infinite_loop_guard(){try{effect_update_depth_exceeded()}catch(error2){invoke_error_boundary(error2,last_scheduled_effect)}}let eager_block_effects=null;function flush_queued_effects(effects){var length=effects.length;if(length!==0){for(var i=0;i<length;){var effect2=effects[i++];if((effect2.f&(DESTROYED|INERT))===
+0&&is_dirty(effect2)&&(eager_block_effects=new Set,update_effect(effect2),effect2.deps===null&&effect2.first===null&&effect2.nodes===null&&(effect2.teardown===null&&effect2.ac===null?unlink_effect(effect2):effect2.fn=null),eager_block_effects?.size>0)){old_values.clear();for(const e of eager_block_effects){if((e.f&(DESTROYED|INERT))!==0)continue;const ordered_effects=[e];let ancestor=e.parent;for(;ancestor!==null;)eager_block_effects.has(ancestor)&&(eager_block_effects.delete(ancestor),ordered_effects.
+push(ancestor)),ancestor=ancestor.parent;for(let j=ordered_effects.length-1;j>=0;j--){const e2=ordered_effects[j];(e2.f&(DESTROYED|INERT))===0&&update_effect(e2)}}eager_block_effects.clear()}}eager_block_effects=null}}function mark_effects(value,sources,marked,checked){if(!marked.has(value)&&(marked.add(value),value.reactions!==null))for(const reaction of value.reactions){const flags2=reaction.f;(flags2&DERIVED)!==0?mark_effects(reaction,sources,marked,checked):(flags2&(ASYNC|BLOCK_EFFECT))!==0&&
+(flags2&DIRTY)===0&&depends_on(reaction,sources,checked)&&(set_signal_status(reaction,DIRTY),schedule_effect(reaction))}}function mark_eager_effects(value,effects){if(value.reactions!==null)for(const reaction of value.reactions){const flags2=reaction.f;(flags2&DERIVED)!==0?mark_eager_effects(reaction,effects):(flags2&EAGER_EFFECT)!==0&&(set_signal_status(reaction,DIRTY),effects.add(reaction))}}function depends_on(reaction,sources,checked){const depends=checked.get(reaction);if(depends!==void 0)return depends;
+if(reaction.deps!==null)for(const dep of reaction.deps){if(includes.call(sources,dep))return!0;if((dep.f&DERIVED)!==0&&depends_on(dep,sources,checked))return checked.set(dep,!0),!0}return checked.set(reaction,!1),!1}function schedule_effect(signal){for(var effect2=last_scheduled_effect=signal;effect2.parent!==null;){effect2=effect2.parent;var flags2=effect2.f;if(is_flushing&&effect2===active_effect&&(flags2&BLOCK_EFFECT)!==0&&(flags2&HEAD_EFFECT)===0)return;if((flags2&(ROOT_EFFECT|BRANCH_EFFECT))!==
+0){if((flags2&CLEAN)===0)return;effect2.f^=CLEAN}}queued_root_effects.push(effect2)}function fork(fn){experimental_async_required(),current_batch!==null&&fork_timing();var batch=Batch.ensure();batch.is_fork=!0,batch_values=new Map;var committed=!1,settled2=batch.settled();flushSync(fn);for(var[source2,value]of batch.previous)source2.v=value;for(source2 of batch.current.keys())(source2.f&DERIVED)!==0&&set_signal_status(source2,DIRTY);return{commit:async()=>{if(committed){await settled2;return}batches.
+has(batch)||fork_discarded(),committed=!0,batch.is_fork=!1;for(var[source3,value2]of batch.current)source3.v=value2,source3.wv=increment_write_version();flushSync(()=>{var eager_effects2=new Set;for(var source4 of batch.current.keys())mark_eager_effects(source4,eager_effects2);set_eager_effects(eager_effects2),flush_eager_effects()}),batch.revive(),await settled2},discard:()=>{!committed&&batches.has(batch)&&(batches.delete(batch),batch.discard())}}}function createSubscriber(start2){let subscribers=0,
+version2=source$2(0),stop;return()=>{effect_tracking()&&(get$4(version2),render_effect(()=>(subscribers===0&&(stop=untrack$1(()=>start2(()=>increment$1(version2)))),subscribers+=1,()=>{queue_micro_task(()=>{subscribers-=1,subscribers===0&&(stop?.(),stop=void 0,increment$1(version2))})})))}}var flags=EFFECT_TRANSPARENT|EFFECT_PRESERVED|BOUNDARY_EFFECT;function boundary(node2,props,children){new Boundary(node2,props,children)}class Boundary{parent;is_pending=!1;#anchor;#hydrate_open=hydrating?hydrate_node:
+null;#props;#children;#effect;#main_effect=null;#pending_effect=null;#failed_effect=null;#offscreen_fragment=null;#pending_anchor=null;#local_pending_count=0;#pending_count=0;#pending_count_update_queued=!1;#is_creating_fallback=!1;#dirty_effects=new Set;#maybe_dirty_effects=new Set;#effect_pending=null;#effect_pending_subscriber=createSubscriber(()=>(this.#effect_pending=source$2(this.#local_pending_count),()=>{this.#effect_pending=null}));constructor(node2,props,children){this.#anchor=node2,this.#props=
+props,this.#children=children,this.parent=active_effect.b,this.is_pending=!!this.#props.pending,this.#effect=block(()=>{if(active_effect.b=this,hydrating){const comment2=this.#hydrate_open;hydrate_next(),comment2.nodeType===COMMENT_NODE&&comment2.data===HYDRATION_START_ELSE?this.#hydrate_pending_content():(this.#hydrate_resolved_content(),this.#pending_count===0&&(this.is_pending=!1))}else{var anchor=this.#get_anchor();try{this.#main_effect=branch(()=>children(anchor))}catch(error2){this.error(error2)}
+this.#pending_count>0?this.#show_pending_snippet():this.is_pending=!1}return()=>{this.#pending_anchor?.remove()}},flags),hydrating&&(this.#anchor=hydrate_node)}#hydrate_resolved_content(){try{this.#main_effect=branch(()=>this.#children(this.#anchor))}catch(error2){this.error(error2)}}#hydrate_pending_content(){const pending=this.#props.pending;pending&&(this.#pending_effect=branch(()=>pending(this.#anchor)),queue_micro_task(()=>{var anchor=this.#get_anchor();this.#main_effect=this.#run(()=>(Batch.
+ensure(),branch(()=>this.#children(anchor)))),this.#pending_count>0?this.#show_pending_snippet():(pause_effect(this.#pending_effect,()=>{this.#pending_effect=null}),this.is_pending=!1)}))}#get_anchor(){var anchor=this.#anchor;return this.is_pending&&(this.#pending_anchor=create_text(),this.#anchor.before(this.#pending_anchor),anchor=this.#pending_anchor),anchor}defer_effect(effect2){defer_effect(effect2,this.#dirty_effects,this.#maybe_dirty_effects)}is_rendered(){return!this.is_pending&&(!this.parent||
+this.parent.is_rendered())}has_pending_snippet(){return!!this.#props.pending}#run(fn){var previous_effect=active_effect,previous_reaction=active_reaction,previous_ctx=component_context;set_active_effect(this.#effect),set_active_reaction(this.#effect),set_component_context(this.#effect.ctx);try{return fn()}catch(e){return handle_error$1(e),null}finally{set_active_effect(previous_effect),set_active_reaction(previous_reaction),set_component_context(previous_ctx)}}#show_pending_snippet(){const pending=this.#props.
+pending;this.#main_effect!==null&&(this.#offscreen_fragment=document.createDocumentFragment(),this.#offscreen_fragment.append(this.#pending_anchor),move_effect(this.#main_effect,this.#offscreen_fragment)),this.#pending_effect===null&&(this.#pending_effect=branch(()=>pending(this.#anchor)))}#update_pending_count(d2){if(!this.has_pending_snippet()){this.parent&&this.parent.#update_pending_count(d2);return}if(this.#pending_count+=d2,this.#pending_count===0){this.is_pending=!1;for(const e of this.#dirty_effects)
+set_signal_status(e,DIRTY),schedule_effect(e);for(const e of this.#maybe_dirty_effects)set_signal_status(e,MAYBE_DIRTY),schedule_effect(e);this.#dirty_effects.clear(),this.#maybe_dirty_effects.clear(),this.#pending_effect&&pause_effect(this.#pending_effect,()=>{this.#pending_effect=null}),this.#offscreen_fragment&&(this.#anchor.before(this.#offscreen_fragment),this.#offscreen_fragment=null)}}update_pending_count(d2){this.#update_pending_count(d2),this.#local_pending_count+=d2,!(!this.#effect_pending||
+this.#pending_count_update_queued)&&(this.#pending_count_update_queued=!0,queue_micro_task(()=>{this.#pending_count_update_queued=!1,this.#effect_pending&&internal_set(this.#effect_pending,this.#local_pending_count)}))}get_effect_pending(){return this.#effect_pending_subscriber(),get$4(this.#effect_pending)}error(error2){var onerror=this.#props.onerror;let failed=this.#props.failed;if(this.#is_creating_fallback||!onerror&&!failed)throw error2;this.#main_effect&&(destroy_effect(this.#main_effect),
+this.#main_effect=null),this.#pending_effect&&(destroy_effect(this.#pending_effect),this.#pending_effect=null),this.#failed_effect&&(destroy_effect(this.#failed_effect),this.#failed_effect=null),hydrating&&(set_hydrate_node(this.#hydrate_open),next$1(),set_hydrate_node(skip_nodes()));var did_reset=!1,calling_on_error=!1;const reset2=()=>{if(did_reset){svelte_boundary_reset_noop();return}did_reset=!0,calling_on_error&&svelte_boundary_reset_onerror(),Batch.ensure(),this.#local_pending_count=0,this.#failed_effect!==
+null&&pause_effect(this.#failed_effect,()=>{this.#failed_effect=null}),this.is_pending=this.has_pending_snippet(),this.#main_effect=this.#run(()=>(this.#is_creating_fallback=!1,branch(()=>this.#children(this.#anchor)))),this.#pending_count>0?this.#show_pending_snippet():this.is_pending=!1};var previous_reaction=active_reaction;try{set_active_reaction(null),calling_on_error=!0,onerror?.(error2,reset2),calling_on_error=!1}catch(error3){invoke_error_boundary(error3,this.#effect&&this.#effect.parent)}finally{
+set_active_reaction(previous_reaction)}failed&&queue_micro_task(()=>{this.#failed_effect=this.#run(()=>{Batch.ensure(),this.#is_creating_fallback=!0;try{return branch(()=>{failed(this.#anchor,()=>error2,()=>reset2)})}catch(error3){return invoke_error_boundary(error3,this.#effect.parent),null}finally{this.#is_creating_fallback=!1}})})}}function flatten(blockers,sync,async,fn){const d2=is_runes()?derived:derived_safe_equal;var pending=blockers.filter(b=>!b.settled);if(async.length===0&&pending.length===
+0){fn(sync.map(d2));return}var batch=current_batch,parent=active_effect,restore=capture(),blocker_promise=pending.length===1?pending[0].promise:pending.length>1?Promise.all(pending.map(b=>b.promise)):null;function finish(values){restore();try{fn(values)}catch(error2){(parent.f&DESTROYED)===0&&invoke_error_boundary(error2,parent)}batch?.deactivate(),unset_context()}if(async.length===0){blocker_promise.then(()=>finish(sync.map(d2)));return}function run2(){restore(),Promise.all(async.map(expression=>async_derived(
+expression))).then(result=>finish([...sync.map(d2),...result])).catch(error2=>invoke_error_boundary(error2,parent))}blocker_promise?blocker_promise.then(run2):run2()}function capture(){var previous_effect=active_effect,previous_reaction=active_reaction,previous_component_context=component_context,previous_batch2=current_batch;return function(activate_batch=!0){set_active_effect(previous_effect),set_active_reaction(previous_reaction),set_component_context(previous_component_context),activate_batch&&
+previous_batch2?.activate()}}function unset_context(){set_active_effect(null),set_active_reaction(null),set_component_context(null)}function derived(fn){var flags2=DERIVED|DIRTY,parent_derived=active_reaction!==null&&(active_reaction.f&DERIVED)!==0?active_reaction:null;return active_effect!==null&&(active_effect.f|=EFFECT_PRESERVED),{ctx:component_context,deps:null,effects:null,equals,f:flags2,fn,reactions:null,rv:0,v:UNINITIALIZED,wv:0,parent:parent_derived??active_effect,ac:null}}function async_derived(fn,label,location2){
+let parent=active_effect;parent===null&&async_derived_orphan();var boundary2=parent.b,promise=void 0,signal=source$2(UNINITIALIZED),should_suspend=!active_reaction,deferreds=new Map;return async_effect(()=>{var d2=deferred();promise=d2.promise;try{Promise.resolve(fn()).then(d2.resolve,d2.reject).then(()=>{batch===current_batch&&batch.committed&&batch.deactivate(),unset_context()})}catch(error2){d2.reject(error2),unset_context()}var batch=current_batch;if(should_suspend){var blocking=boundary2.is_rendered();
+boundary2.update_pending_count(1),batch.increment(blocking),deferreds.get(batch)?.reject(STALE_REACTION),deferreds.delete(batch),deferreds.set(batch,d2)}const handler=(value,error2=void 0)=>{if(batch.activate(),error2)error2!==STALE_REACTION&&(signal.f|=ERROR_VALUE,internal_set(signal,error2));else{(signal.f&ERROR_VALUE)!==0&&(signal.f^=ERROR_VALUE),internal_set(signal,value);for(const[b,d3]of deferreds){if(deferreds.delete(b),b===batch)break;d3.reject(STALE_REACTION)}}should_suspend&&(boundary2.
+update_pending_count(-1),batch.decrement(blocking))};d2.promise.then(handler,e=>handler(null,e||"unknown"))}),teardown(()=>{for(const d2 of deferreds.values())d2.reject(STALE_REACTION)}),new Promise(fulfil=>{function next2(p2){function go2(){p2===promise?fulfil(signal):next2(promise)}p2.then(go2,go2)}next2(promise)})}function user_derived(fn){const d2=derived(fn);return push_reaction_value(d2),d2}function derived_safe_equal(fn){const signal=derived(fn);return signal.equals=safe_equals,signal}function destroy_derived_effects(derived2){
+var effects=derived2.effects;if(effects!==null){derived2.effects=null;for(var i=0;i<effects.length;i+=1)destroy_effect(effects[i])}}function get_derived_parent_effect(derived2){for(var parent=derived2.parent;parent!==null;){if((parent.f&DERIVED)===0)return(parent.f&DESTROYED)===0?parent:null;parent=parent.parent}return null}function execute_derived(derived2){var value,prev_active_effect=active_effect;set_active_effect(get_derived_parent_effect(derived2));try{derived2.f&=~WAS_MARKED,destroy_derived_effects(
+derived2),value=update_reaction(derived2)}finally{set_active_effect(prev_active_effect)}return value}function update_derived(derived2){var value=execute_derived(derived2);if(!derived2.equals(value)&&(derived2.wv=increment_write_version(),(!current_batch?.is_fork||derived2.deps===null)&&(derived2.v=value,derived2.deps===null))){set_signal_status(derived2,CLEAN);return}is_destroying_effect||(batch_values!==null?(effect_tracking()||current_batch?.is_fork)&&batch_values.set(derived2,value):update_derived_status(
+derived2))}let eager_effects=new Set;const old_values=new Map;function set_eager_effects(v){eager_effects=v}let eager_effects_deferred=!1;function source$2(v,stack){var signal={f:0,v,reactions:null,equals,rv:0,wv:0};return signal}function state$1(v,stack){const s2=source$2(v);return push_reaction_value(s2),s2}function mutable_source(initial_value,immutable=!1,trackable=!0){const s2=source$2(initial_value);return immutable||(s2.equals=safe_equals),legacy_mode_flag&&trackable&&component_context!==
+null&&component_context.l!==null&&(component_context.l.s??=[]).push(s2),s2}function set$1(source2,value,should_proxy=!1){active_reaction!==null&&(!untracking||(active_reaction.f&EAGER_EFFECT)!==0)&&is_runes()&&(active_reaction.f&(DERIVED|BLOCK_EFFECT|ASYNC|EAGER_EFFECT))!==0&&(current_sources===null||!includes.call(current_sources,source2))&&state_unsafe_mutation();let new_value=should_proxy?proxy(value):value;return internal_set(source2,new_value)}function internal_set(source2,value){if(!source2.
+equals(value)){var old_value=source2.v;is_destroying_effect?old_values.set(source2,value):old_values.set(source2,old_value),source2.v=value;var batch=Batch.ensure();if(batch.capture(source2,old_value),(source2.f&DERIVED)!==0){const derived2=source2;(source2.f&DIRTY)!==0&&execute_derived(derived2),update_derived_status(derived2)}source2.wv=increment_write_version(),mark_reactions(source2,DIRTY),is_runes()&&active_effect!==null&&(active_effect.f&CLEAN)!==0&&(active_effect.f&(BRANCH_EFFECT|ROOT_EFFECT))===
+0&&(untracked_writes===null?set_untracked_writes([source2]):untracked_writes.push(source2)),!batch.is_fork&&eager_effects.size>0&&!eager_effects_deferred&&flush_eager_effects()}return value}function flush_eager_effects(){eager_effects_deferred=!1;for(const effect2 of eager_effects)(effect2.f&CLEAN)!==0&&set_signal_status(effect2,MAYBE_DIRTY),is_dirty(effect2)&&update_effect(effect2);eager_effects.clear()}function update$1(source2,d2=1){var value=get$4(source2),result=d2===1?value++:value--;return set$1(
+source2,value),result}function increment$1(source2){set$1(source2,source2.v+1)}function mark_reactions(signal,status){var reactions=signal.reactions;if(reactions!==null)for(var runes=is_runes(),length=reactions.length,i=0;i<length;i++){var reaction=reactions[i],flags2=reaction.f;if(!(!runes&&reaction===active_effect)){var not_dirty=(flags2&DIRTY)===0;if(not_dirty&&set_signal_status(reaction,status),(flags2&DERIVED)!==0){var derived2=reaction;batch_values?.delete(derived2),(flags2&WAS_MARKED)===0&&
+(flags2&CONNECTED&&(reaction.f|=WAS_MARKED),mark_reactions(derived2,MAYBE_DIRTY))}else not_dirty&&((flags2&BLOCK_EFFECT)!==0&&eager_block_effects!==null&&eager_block_effects.add(reaction),schedule_effect(reaction))}}}function proxy(value){if(typeof value!="object"||value===null||STATE_SYMBOL in value)return value;const prototype=get_prototype_of(value);if(prototype!==object_prototype&&prototype!==array_prototype)return value;var sources=new Map,is_proxied_array=is_array(value),version2=state$1(0),
+parent_version=update_version,with_parent=fn=>{if(update_version===parent_version)return fn();var reaction=active_reaction,version3=update_version;set_active_reaction(null),set_update_version(parent_version);var result=fn();return set_active_reaction(reaction),set_update_version(version3),result};return is_proxied_array&&sources.set("length",state$1(value.length)),new Proxy(value,{defineProperty(_,prop2,descriptor){(!("value"in descriptor)||descriptor.configurable===!1||descriptor.enumerable===!1||
+descriptor.writable===!1)&&state_descriptors_fixed();var s2=sources.get(prop2);return s2===void 0?s2=with_parent(()=>{var s3=state$1(descriptor.value);return sources.set(prop2,s3),s3}):set$1(s2,descriptor.value,!0),!0},deleteProperty(target2,prop2){var s2=sources.get(prop2);if(s2===void 0){if(prop2 in target2){const s3=with_parent(()=>state$1(UNINITIALIZED));sources.set(prop2,s3),increment$1(version2)}}else set$1(s2,UNINITIALIZED),increment$1(version2);return!0},get(target2,prop2,receiver){if(prop2===
+STATE_SYMBOL)return value;var s2=sources.get(prop2),exists=prop2 in target2;if(s2===void 0&&(!exists||get_descriptor(target2,prop2)?.writable)&&(s2=with_parent(()=>{var p2=proxy(exists?target2[prop2]:UNINITIALIZED),s3=state$1(p2);return s3}),sources.set(prop2,s2)),s2!==void 0){var v=get$4(s2);return v===UNINITIALIZED?void 0:v}return Reflect.get(target2,prop2,receiver)},getOwnPropertyDescriptor(target2,prop2){var descriptor=Reflect.getOwnPropertyDescriptor(target2,prop2);if(descriptor&&"value"in descriptor){
+var s2=sources.get(prop2);s2&&(descriptor.value=get$4(s2))}else if(descriptor===void 0){var source2=sources.get(prop2),value2=source2?.v;if(source2!==void 0&&value2!==UNINITIALIZED)return{enumerable:!0,configurable:!0,value:value2,writable:!0}}return descriptor},has(target2,prop2){if(prop2===STATE_SYMBOL)return!0;var s2=sources.get(prop2),has=s2!==void 0&&s2.v!==UNINITIALIZED||Reflect.has(target2,prop2);if(s2!==void 0||active_effect!==null&&(!has||get_descriptor(target2,prop2)?.writable)){s2===void 0&&
+(s2=with_parent(()=>{var p2=has?proxy(target2[prop2]):UNINITIALIZED,s3=state$1(p2);return s3}),sources.set(prop2,s2));var value2=get$4(s2);if(value2===UNINITIALIZED)return!1}return has},set(target2,prop2,value2,receiver){var s2=sources.get(prop2),has=prop2 in target2;if(is_proxied_array&&prop2==="length")for(var i=value2;i<s2.v;i+=1){var other_s=sources.get(i+"");other_s!==void 0?set$1(other_s,UNINITIALIZED):i in target2&&(other_s=with_parent(()=>state$1(UNINITIALIZED)),sources.set(i+"",other_s))}
+if(s2===void 0)(!has||get_descriptor(target2,prop2)?.writable)&&(s2=with_parent(()=>state$1(void 0)),set$1(s2,proxy(value2)),sources.set(prop2,s2));else{has=s2.v!==UNINITIALIZED;var p2=with_parent(()=>proxy(value2));set$1(s2,p2)}var descriptor=Reflect.getOwnPropertyDescriptor(target2,prop2);if(descriptor?.set&&descriptor.set.call(receiver,value2),!has){if(is_proxied_array&&typeof prop2=="string"){var ls=sources.get("length"),n=Number(prop2);Number.isInteger(n)&&n>=ls.v&&set$1(ls,n+1)}increment$1(
+version2)}return!0},ownKeys(target2){get$4(version2);var own_keys=Reflect.ownKeys(target2).filter(key3=>{var source3=sources.get(key3);return source3===void 0||source3.v!==UNINITIALIZED});for(var[key2,source2]of sources)source2.v!==UNINITIALIZED&&!(key2 in target2)&&own_keys.push(key2);return own_keys},setPrototypeOf(){state_prototype_fixed()}})}function get_proxied_value(value){try{if(value!==null&&typeof value=="object"&&STATE_SYMBOL in value)return value[STATE_SYMBOL]}catch{}return value}function is(a,b){
+return Object.is(get_proxied_value(a),get_proxied_value(b))}var $window,$document,is_firefox,first_child_getter,next_sibling_getter;function init_operations(){if($window===void 0){$window=window,$document=document,is_firefox=/Firefox/.test(navigator.userAgent);var element_prototype=Element.prototype,node_prototype=Node.prototype,text_prototype=Text.prototype;first_child_getter=get_descriptor(node_prototype,"firstChild").get,next_sibling_getter=get_descriptor(node_prototype,"nextSibling").get,is_extensible(
+element_prototype)&&(element_prototype.__click=void 0,element_prototype.__className=void 0,element_prototype.__attributes=null,element_prototype.__style=void 0,element_prototype.__e=void 0),is_extensible(text_prototype)&&(text_prototype.__t=void 0)}}function create_text(value=""){return document.createTextNode(value)}function get_first_child(node2){return first_child_getter.call(node2)}function get_next_sibling(node2){return next_sibling_getter.call(node2)}function child(node2,is_text){if(!hydrating)
+return get_first_child(node2);var child2=get_first_child(hydrate_node);if(child2===null)child2=hydrate_node.appendChild(create_text());else if(is_text&&child2.nodeType!==TEXT_NODE){var text2=create_text();return child2?.before(text2),set_hydrate_node(text2),text2}return set_hydrate_node(child2),child2}function first_child(node2,is_text=!1){if(!hydrating){var first=get_first_child(node2);return first instanceof Comment&&first.data===""?get_next_sibling(first):first}if(is_text&&hydrate_node?.nodeType!==
+TEXT_NODE){var text2=create_text();return hydrate_node?.before(text2),set_hydrate_node(text2),text2}return hydrate_node}function sibling(node2,count=1,is_text=!1){let next_sibling=hydrating?hydrate_node:node2;for(var last_sibling;count--;)last_sibling=next_sibling,next_sibling=get_next_sibling(next_sibling);if(!hydrating)return next_sibling;if(is_text&&next_sibling?.nodeType!==TEXT_NODE){var text2=create_text();return next_sibling===null?last_sibling?.after(text2):next_sibling.before(text2),set_hydrate_node(
+text2),text2}return set_hydrate_node(next_sibling),next_sibling}function clear_text_content(node2){node2.textContent=""}function should_defer_append(){return!1}function autofocus(dom,value){if(value){const body2=document.body;dom.autofocus=!0,queue_micro_task(()=>{document.activeElement===body2&&dom.focus()})}}function remove_textarea_child(dom){hydrating&&get_first_child(dom)!==null&&clear_text_content(dom)}let listening_to_form_reset=!1;function add_form_reset_listener(){listening_to_form_reset||
+(listening_to_form_reset=!0,document.addEventListener("reset",evt=>{Promise.resolve().then(()=>{if(!evt.defaultPrevented)for(const e of evt.target.elements)e.__on_r?.()})},{capture:!0}))}function listen(target2,events,handler,call_handler_immediately=!0){call_handler_immediately&&handler();for(var name of events)target2.addEventListener(name,handler);teardown(()=>{for(var name2 of events)target2.removeEventListener(name2,handler)})}function without_reactive_context(fn){var previous_reaction=active_reaction,
+previous_effect=active_effect;set_active_reaction(null),set_active_effect(null);try{return fn()}finally{set_active_reaction(previous_reaction),set_active_effect(previous_effect)}}function listen_to_event_and_reset_event(element2,event2,handler,on_reset=handler){element2.addEventListener(event2,()=>without_reactive_context(handler));const prev2=element2.__on_r;prev2?element2.__on_r=()=>{prev2(),on_reset(!0)}:element2.__on_r=()=>on_reset(!0),add_form_reset_listener()}function validate_effect(rune){
+active_effect===null&&(active_reaction===null&&effect_orphan(),effect_in_unowned_derived()),is_destroying_effect&&effect_in_teardown()}function push_effect(effect2,parent_effect){var parent_last=parent_effect.last;parent_last===null?parent_effect.last=parent_effect.first=effect2:(parent_last.next=effect2,effect2.prev=parent_last,parent_effect.last=effect2)}function create_effect(type2,fn,sync){var parent=active_effect;parent!==null&&(parent.f&INERT)!==0&&(type2|=INERT);var effect2={ctx:component_context,
+deps:null,nodes:null,f:type2|DIRTY|CONNECTED,first:null,fn,last:null,next:null,parent,b:parent&&parent.b,prev:null,teardown:null,wv:0,ac:null};if(sync)try{update_effect(effect2),effect2.f|=EFFECT_RAN}catch(e2){throw destroy_effect(effect2),e2}else fn!==null&&schedule_effect(effect2);var e=effect2;if(sync&&e.deps===null&&e.teardown===null&&e.nodes===null&&e.first===e.last&&(e.f&EFFECT_PRESERVED)===0&&(e=e.first,(type2&BLOCK_EFFECT)!==0&&(type2&EFFECT_TRANSPARENT)!==0&&e!==null&&(e.f|=EFFECT_TRANSPARENT)),
+e!==null&&(e.parent=parent,parent!==null&&push_effect(e,parent),active_reaction!==null&&(active_reaction.f&DERIVED)!==0&&(type2&ROOT_EFFECT)===0)){var derived2=active_reaction;(derived2.effects??=[]).push(e)}return effect2}function effect_tracking(){return active_reaction!==null&&!untracking}function teardown(fn){const effect2=create_effect(RENDER_EFFECT,null,!1);return set_signal_status(effect2,CLEAN),effect2.teardown=fn,effect2}function user_effect(fn){validate_effect();var flags2=active_effect.
+f,defer=!active_reaction&&(flags2&BRANCH_EFFECT)!==0&&(flags2&EFFECT_RAN)===0;if(defer){var context=component_context;(context.e??=[]).push(fn)}else return create_user_effect(fn)}function create_user_effect(fn){return create_effect(EFFECT|USER_EFFECT,fn,!1)}function user_pre_effect(fn){return validate_effect(),create_effect(RENDER_EFFECT|USER_EFFECT,fn,!0)}function effect_root(fn){Batch.ensure();const effect2=create_effect(ROOT_EFFECT|EFFECT_PRESERVED,fn,!0);return()=>{destroy_effect(effect2)}}function component_root(fn){
+Batch.ensure();const effect2=create_effect(ROOT_EFFECT|EFFECT_PRESERVED,fn,!0);return(options={})=>new Promise(fulfil=>{options.outro?pause_effect(effect2,()=>{destroy_effect(effect2),fulfil(void 0)}):(destroy_effect(effect2),fulfil(void 0))})}function effect(fn){return create_effect(EFFECT,fn,!1)}function async_effect(fn){return create_effect(ASYNC|EFFECT_PRESERVED,fn,!0)}function render_effect(fn,flags2=0){return create_effect(RENDER_EFFECT|flags2,fn,!0)}function template_effect(fn,sync=[],async=[],blockers=[]){
+flatten(blockers,sync,async,values=>{create_effect(RENDER_EFFECT,()=>fn(...values.map(get$4)),!0)})}function deferred_template_effect(fn,sync=[],async=[],blockers=[]){var batch=current_batch,is_async=async.length>0||blockers.length>0;is_async&&batch.increment(!0),flatten(blockers,sync,async,values=>{create_effect(EFFECT,()=>fn(...values.map(get$4)),!1),is_async&&batch.decrement(!0)})}function block(fn,flags2=0){var effect2=create_effect(BLOCK_EFFECT|flags2,fn,!0);return effect2}function managed(fn,flags2=0){
+var effect2=create_effect(MANAGED_EFFECT|flags2,fn,!0);return effect2}function branch(fn){return create_effect(BRANCH_EFFECT|EFFECT_PRESERVED,fn,!0)}function execute_effect_teardown(effect2){var teardown2=effect2.teardown;if(teardown2!==null){const previously_destroying_effect=is_destroying_effect,previous_reaction=active_reaction;set_is_destroying_effect(!0),set_active_reaction(null);try{teardown2.call(null)}finally{set_is_destroying_effect(previously_destroying_effect),set_active_reaction(previous_reaction)}}}
+function destroy_effect_children(signal,remove_dom=!1){var effect2=signal.first;for(signal.first=signal.last=null;effect2!==null;){const controller=effect2.ac;controller!==null&&without_reactive_context(()=>{controller.abort(STALE_REACTION)});var next2=effect2.next;(effect2.f&ROOT_EFFECT)!==0?effect2.parent=null:destroy_effect(effect2,remove_dom),effect2=next2}}function destroy_block_effect_children(signal){for(var effect2=signal.first;effect2!==null;){var next2=effect2.next;(effect2.f&BRANCH_EFFECT)===
+0&&destroy_effect(effect2),effect2=next2}}function destroy_effect(effect2,remove_dom=!0){var removed=!1;(remove_dom||(effect2.f&HEAD_EFFECT)!==0)&&effect2.nodes!==null&&effect2.nodes.end!==null&&(remove_effect_dom(effect2.nodes.start,effect2.nodes.end),removed=!0),destroy_effect_children(effect2,remove_dom&&!removed),remove_reactions(effect2,0),set_signal_status(effect2,DESTROYED);var transitions=effect2.nodes&&effect2.nodes.t;if(transitions!==null)for(const transition2 of transitions)transition2.
+stop();execute_effect_teardown(effect2);var parent=effect2.parent;parent!==null&&parent.first!==null&&unlink_effect(effect2),effect2.next=effect2.prev=effect2.teardown=effect2.ctx=effect2.deps=effect2.fn=effect2.nodes=effect2.ac=null}function remove_effect_dom(node2,end){for(;node2!==null;){var next2=node2===end?null:get_next_sibling(node2);node2.remove(),node2=next2}}function unlink_effect(effect2){var parent=effect2.parent,prev2=effect2.prev,next2=effect2.next;prev2!==null&&(prev2.next=next2),
+next2!==null&&(next2.prev=prev2),parent!==null&&(parent.first===effect2&&(parent.first=next2),parent.last===effect2&&(parent.last=prev2))}function pause_effect(effect2,callback,destroy=!0){var transitions=[];pause_children(effect2,transitions,!0);var fn=()=>{destroy&&destroy_effect(effect2),callback&&callback()},remaining=transitions.length;if(remaining>0){var check=()=>--remaining||fn();for(var transition2 of transitions)transition2.out(check)}else fn()}function pause_children(effect2,transitions,local){
+if((effect2.f&INERT)===0){effect2.f^=INERT;var t=effect2.nodes&&effect2.nodes.t;if(t!==null)for(const transition2 of t)(transition2.is_global||local)&&transitions.push(transition2);for(var child2=effect2.first;child2!==null;){var sibling2=child2.next,transparent=(child2.f&EFFECT_TRANSPARENT)!==0||(child2.f&BRANCH_EFFECT)!==0&&(effect2.f&BLOCK_EFFECT)!==0;pause_children(child2,transitions,transparent?local:!1),child2=sibling2}}}function resume_effect(effect2){resume_children(effect2,!0)}function resume_children(effect2,local){
+if((effect2.f&INERT)!==0){effect2.f^=INERT,(effect2.f&CLEAN)===0&&(set_signal_status(effect2,DIRTY),schedule_effect(effect2));for(var child2=effect2.first;child2!==null;){var sibling2=child2.next,transparent=(child2.f&EFFECT_TRANSPARENT)!==0||(child2.f&BRANCH_EFFECT)!==0;resume_children(child2,transparent?local:!1),child2=sibling2}var t=effect2.nodes&&effect2.nodes.t;if(t!==null)for(const transition2 of t)(transition2.is_global||local)&&transition2.in()}}function move_effect(effect2,fragment){if(effect2.
+nodes)for(var node2=effect2.nodes.start,end=effect2.nodes.end;node2!==null;){var next2=node2===end?null:get_next_sibling(node2);fragment.append(node2),node2=next2}}let is_updating_effect=!1,is_destroying_effect=!1;function set_is_destroying_effect(value){is_destroying_effect=value}let active_reaction=null,untracking=!1;function set_active_reaction(reaction){active_reaction=reaction}let active_effect=null;function set_active_effect(effect2){active_effect=effect2}let current_sources=null;function push_reaction_value(value){
+active_reaction!==null&&(current_sources===null?current_sources=[value]:current_sources.push(value))}let new_deps=null,skipped_deps=0,untracked_writes=null;function set_untracked_writes(value){untracked_writes=value}let write_version=1,read_version=0,update_version=read_version;function set_update_version(value){update_version=value}function increment_write_version(){return++write_version}function is_dirty(reaction){var flags2=reaction.f;if((flags2&DIRTY)!==0)return!0;if(flags2&DERIVED&&(reaction.
+f&=~WAS_MARKED),(flags2&MAYBE_DIRTY)!==0){for(var dependencies2=reaction.deps,length=dependencies2.length,i=0;i<length;i++){var dependency=dependencies2[i];if(is_dirty(dependency)&&update_derived(dependency),dependency.wv>reaction.wv)return!0}(flags2&CONNECTED)!==0&&batch_values===null&&set_signal_status(reaction,CLEAN)}return!1}function schedule_possible_effect_self_invalidation(signal,effect2,root2=!0){var reactions=signal.reactions;if(reactions!==null&&!(current_sources!==null&&includes.call(
+current_sources,signal)))for(var i=0;i<reactions.length;i++){var reaction=reactions[i];(reaction.f&DERIVED)!==0?schedule_possible_effect_self_invalidation(reaction,effect2,!1):effect2===reaction&&(root2?set_signal_status(reaction,DIRTY):(reaction.f&CLEAN)!==0&&set_signal_status(reaction,MAYBE_DIRTY),schedule_effect(reaction))}}function update_reaction(reaction){var previous_deps=new_deps,previous_skipped_deps=skipped_deps,previous_untracked_writes=untracked_writes,previous_reaction=active_reaction,
+previous_sources=current_sources,previous_component_context=component_context,previous_untracking=untracking,previous_update_version=update_version,flags2=reaction.f;new_deps=null,skipped_deps=0,untracked_writes=null,active_reaction=(flags2&(BRANCH_EFFECT|ROOT_EFFECT))===0?reaction:null,current_sources=null,set_component_context(reaction.ctx),untracking=!1,update_version=++read_version,reaction.ac!==null&&(without_reactive_context(()=>{reaction.ac.abort(STALE_REACTION)}),reaction.ac=null);try{reaction.
+f|=REACTION_IS_UPDATING;var fn=reaction.fn,result=fn(),deps=reaction.deps;if(new_deps!==null){var i;if(remove_reactions(reaction,skipped_deps),deps!==null&&skipped_deps>0)for(deps.length=skipped_deps+new_deps.length,i=0;i<new_deps.length;i++)deps[skipped_deps+i]=new_deps[i];else reaction.deps=deps=new_deps;if(effect_tracking()&&(reaction.f&CONNECTED)!==0)for(i=skipped_deps;i<deps.length;i++)(deps[i].reactions??=[]).push(reaction)}else deps!==null&&skipped_deps<deps.length&&(remove_reactions(reaction,
+skipped_deps),deps.length=skipped_deps);if(is_runes()&&untracked_writes!==null&&!untracking&&deps!==null&&(reaction.f&(DERIVED|MAYBE_DIRTY|DIRTY))===0)for(i=0;i<untracked_writes.length;i++)schedule_possible_effect_self_invalidation(untracked_writes[i],reaction);if(previous_reaction!==null&&previous_reaction!==reaction){if(read_version++,previous_reaction.deps!==null)for(let i2=0;i2<previous_skipped_deps;i2+=1)previous_reaction.deps[i2].rv=read_version;if(previous_deps!==null)for(const dep of previous_deps)
+dep.rv=read_version;untracked_writes!==null&&(previous_untracked_writes===null?previous_untracked_writes=untracked_writes:previous_untracked_writes.push(...untracked_writes))}return(reaction.f&ERROR_VALUE)!==0&&(reaction.f^=ERROR_VALUE),result}catch(error2){return handle_error$1(error2)}finally{reaction.f^=REACTION_IS_UPDATING,new_deps=previous_deps,skipped_deps=previous_skipped_deps,untracked_writes=previous_untracked_writes,active_reaction=previous_reaction,current_sources=previous_sources,set_component_context(
+previous_component_context),untracking=previous_untracking,update_version=previous_update_version}}function remove_reaction(signal,dependency){let reactions=dependency.reactions;if(reactions!==null){var index2=index_of.call(reactions,signal);if(index2!==-1){var new_length=reactions.length-1;new_length===0?reactions=dependency.reactions=null:(reactions[index2]=reactions[new_length],reactions.pop())}}if(reactions===null&&(dependency.f&DERIVED)!==0&&(new_deps===null||!includes.call(new_deps,dependency))){
+var derived2=dependency;(derived2.f&CONNECTED)!==0&&(derived2.f^=CONNECTED,derived2.f&=~WAS_MARKED),update_derived_status(derived2),destroy_derived_effects(derived2),remove_reactions(derived2,0)}}function remove_reactions(signal,start_index){var dependencies2=signal.deps;if(dependencies2!==null)for(var i=start_index;i<dependencies2.length;i++)remove_reaction(signal,dependencies2[i])}function update_effect(effect2){var flags2=effect2.f;if((flags2&DESTROYED)===0){set_signal_status(effect2,CLEAN);var previous_effect=active_effect,
+was_updating_effect=is_updating_effect;active_effect=effect2,is_updating_effect=!0;try{(flags2&(BLOCK_EFFECT|MANAGED_EFFECT))!==0?destroy_block_effect_children(effect2):destroy_effect_children(effect2),execute_effect_teardown(effect2);var teardown2=update_reaction(effect2);effect2.teardown=typeof teardown2=="function"?teardown2:null,effect2.wv=write_version;var dep}finally{is_updating_effect=was_updating_effect,active_effect=previous_effect}}}async function tick(){await Promise.resolve(),flushSync()}
+function settled(){return Batch.ensure().settled()}function get$4(signal){var flags2=signal.f,is_derived=(flags2&DERIVED)!==0;if(active_reaction!==null&&!untracking){var destroyed=active_effect!==null&&(active_effect.f&DESTROYED)!==0;if(!destroyed&&(current_sources===null||!includes.call(current_sources,signal))){var deps=active_reaction.deps;if((active_reaction.f&REACTION_IS_UPDATING)!==0)signal.rv<read_version&&(signal.rv=read_version,new_deps===null&&deps!==null&&deps[skipped_deps]===signal?skipped_deps++:
+new_deps===null?new_deps=[signal]:new_deps.push(signal));else{(active_reaction.deps??=[]).push(signal);var reactions=signal.reactions;reactions===null?signal.reactions=[active_reaction]:includes.call(reactions,active_reaction)||reactions.push(active_reaction)}}}if(is_destroying_effect&&old_values.has(signal))return old_values.get(signal);if(is_derived){var derived2=signal;if(is_destroying_effect){var value=derived2.v;return((derived2.f&CLEAN)===0&&derived2.reactions!==null||depends_on_old_values(
+derived2))&&(value=execute_derived(derived2)),old_values.set(derived2,value),value}var should_connect=(derived2.f&CONNECTED)===0&&!untracking&&active_reaction!==null&&(is_updating_effect||(active_reaction.f&CONNECTED)!==0),is_new=derived2.deps===null;is_dirty(derived2)&&(should_connect&&(derived2.f|=CONNECTED),update_derived(derived2)),should_connect&&!is_new&&reconnect(derived2)}if(batch_values?.has(signal))return batch_values.get(signal);if((signal.f&ERROR_VALUE)!==0)throw signal.v;return signal.
+v}function reconnect(derived2){if(derived2.deps!==null){derived2.f|=CONNECTED;for(const dep of derived2.deps)(dep.reactions??=[]).push(derived2),(dep.f&DERIVED)!==0&&(dep.f&CONNECTED)===0&&reconnect(dep)}}function depends_on_old_values(derived2){if(derived2.v===UNINITIALIZED)return!0;if(derived2.deps===null)return!1;for(const dep of derived2.deps)if(old_values.has(dep)||(dep.f&DERIVED)!==0&&depends_on_old_values(dep))return!0;return!1}function untrack$1(fn){var previous_untracking=untracking;try{
+return untracking=!0,fn()}finally{untracking=previous_untracking}}function deep_read_state(value){if(!(typeof value!="object"||!value||value instanceof EventTarget)){if(STATE_SYMBOL in value)deep_read(value);else if(!Array.isArray(value))for(let key2 in value){const prop2=value[key2];typeof prop2=="object"&&prop2&&STATE_SYMBOL in prop2&&deep_read(prop2)}}}function deep_read(value,visited=new Set){if(typeof value=="object"&&value!==null&&!(value instanceof EventTarget)&&!visited.has(value)){visited.
+add(value),value instanceof Date&&value.getTime();for(let key2 in value)try{deep_read(value[key2],visited)}catch{}const proto=get_prototype_of(value);if(proto!==Object.prototype&&proto!==Array.prototype&&proto!==Map.prototype&&proto!==Set.prototype&&proto!==Date.prototype){const descriptors=get_descriptors(proto);for(let key2 in descriptors){const get2=descriptors[key2].get;if(get2)try{get2.call(value)}catch{}}}}}function createAttachmentKey(){return Symbol(ATTACHMENT_KEY)}function is_capture_event(name){
+return name.endsWith("capture")&&name!=="gotpointercapture"&&name!=="lostpointercapture"}const DELEGATED_EVENTS=["beforeinput","click","change","dblclick","contextmenu","focusin","focusout","input","keydown","keyup","mousedown","mousemove","mouseout","mouseover","mouseup","pointerdown","pointermove","pointerout","pointerover","pointerup","touchend","touchmove","touchstart"];function can_delegate_event(event_name){return DELEGATED_EVENTS.includes(event_name)}const ATTRIBUTE_ALIASES={formnovalidate:"\
+formNoValidate",ismap:"isMap",nomodule:"noModule",playsinline:"playsInline",readonly:"readOnly",defaultvalue:"defaultValue",defaultchecked:"defaultChecked",srcobject:"srcObject",novalidate:"noValidate",allowfullscreen:"allowFullscreen",disablepictureinpicture:"disablePictureInPicture",disableremoteplayback:"disableRemotePlayback"};function normalize_attribute(name){return name=name.toLowerCase(),ATTRIBUTE_ALIASES[name]??name}const PASSIVE_EVENTS=["touchstart","touchmove"];function is_passive_event(name){
+return PASSIVE_EVENTS.includes(name)}const RAW_TEXT_ELEMENTS=["textarea","script","style","title"];function is_raw_text_element(name){return RAW_TEXT_ELEMENTS.includes(name)}const all_registered_events=new Set,root_event_handles=new Set;function replay_events(dom){if(!hydrating)return;dom.removeAttribute("onload"),dom.removeAttribute("onerror");const event2=dom.__e;event2!==void 0&&(dom.__e=void 0,queueMicrotask(()=>{dom.isConnected&&dom.dispatchEvent(event2)}))}function create_event(event_name,dom,handler,options={}){
+function target_handler(event2){if(options.capture||handle_event_propagation.call(dom,event2),!event2.cancelBubble)return without_reactive_context(()=>handler?.call(this,event2))}return event_name.startsWith("pointer")||event_name.startsWith("touch")||event_name==="wheel"?queue_micro_task(()=>{dom.addEventListener(event_name,target_handler,options)}):dom.addEventListener(event_name,target_handler,options),target_handler}function on(element2,type2,handler,options={}){var target_handler=create_event(
+type2,element2,handler,options);return()=>{element2.removeEventListener(type2,target_handler,options)}}function event(event_name,dom,handler,capture2,passive){var options={capture:capture2,passive},target_handler=create_event(event_name,dom,handler,options);(dom===document.body||dom===window||dom===document||dom instanceof HTMLMediaElement)&&teardown(()=>{dom.removeEventListener(event_name,target_handler,options)})}function delegate(events){for(var i=0;i<events.length;i++)all_registered_events.add(
+events[i]);for(var fn of root_event_handles)fn(events)}let last_propagated_event=null;function handle_event_propagation(event2){var handler_element=this,owner_document=handler_element.ownerDocument,event_name=event2.type,path2=event2.composedPath?.()||[],current_target=path2[0]||event2.target;last_propagated_event=event2;var path_idx=0,handled_at=last_propagated_event===event2&&event2.__root;if(handled_at){var at_idx=path2.indexOf(handled_at);if(at_idx!==-1&&(handler_element===document||handler_element===
+window)){event2.__root=handler_element;return}var handler_idx=path2.indexOf(handler_element);if(handler_idx===-1)return;at_idx<=handler_idx&&(path_idx=at_idx)}if(current_target=path2[path_idx]||event2.target,current_target!==handler_element){define_property(event2,"currentTarget",{configurable:!0,get(){return current_target||owner_document}});var previous_reaction=active_reaction,previous_effect=active_effect;set_active_reaction(null),set_active_effect(null);try{for(var throw_error,other_errors=[];current_target!==
+null;){var parent_element2=current_target.assignedSlot||current_target.parentNode||current_target.host||null;try{var delegated=current_target["__"+event_name];delegated!=null&&(!current_target.disabled||event2.target===current_target)&&delegated.call(current_target,event2)}catch(error2){throw_error?other_errors.push(error2):throw_error=error2}if(event2.cancelBubble||parent_element2===handler_element||parent_element2===null)break;current_target=parent_element2}if(throw_error){for(let error2 of other_errors)
+queueMicrotask(()=>{throw error2});throw throw_error}}finally{event2.__root=handler_element,delete event2.currentTarget,set_active_reaction(previous_reaction),set_active_effect(previous_effect)}}}function create_fragment_from_html(html2){var elem=document.createElement("template");return elem.innerHTML=html2.replaceAll("<!>","<!---->"),elem.content}function assign_nodes(start2,end){var effect2=active_effect;effect2.nodes===null&&(effect2.nodes={start:start2,end,a:null,t:null})}function from_html(content2,flags2){
+var is_fragment=(flags2&TEMPLATE_FRAGMENT)!==0,use_import_node=(flags2&TEMPLATE_USE_IMPORT_NODE)!==0,node2,has_start=!content2.startsWith("<!>");return()=>{if(hydrating)return assign_nodes(hydrate_node,null),hydrate_node;node2===void 0&&(node2=create_fragment_from_html(has_start?content2:"<!>"+content2),is_fragment||(node2=get_first_child(node2)));var clone2=use_import_node||is_firefox?document.importNode(node2,!0):node2.cloneNode(!0);if(is_fragment){var start2=get_first_child(clone2),end=clone2.
+lastChild;assign_nodes(start2,end)}else assign_nodes(clone2,clone2);return clone2}}function from_namespace(content2,flags2,ns="svg"){var has_start=!content2.startsWith("<!>"),wrapped=`<${ns}>${has_start?content2:"<!>"+content2}</${ns}>`,node2;return()=>{if(hydrating)return assign_nodes(hydrate_node,null),hydrate_node;if(!node2){var fragment=create_fragment_from_html(wrapped),root2=get_first_child(fragment);node2=get_first_child(root2)}var clone2=node2.cloneNode(!0);return assign_nodes(clone2,clone2),
+clone2}}function from_svg(content2,flags2){return from_namespace(content2,flags2,"svg")}function text$8(value=""){if(!hydrating){var t=create_text(value+"");return assign_nodes(t,t),t}var node2=hydrate_node;return node2.nodeType!==TEXT_NODE&&(node2.before(node2=create_text()),set_hydrate_node(node2)),assign_nodes(node2,node2),node2}function comment$2(){if(hydrating)return assign_nodes(hydrate_node,null),hydrate_node;var frag=document.createDocumentFragment(),start2=document.createComment(""),anchor=create_text();
+return frag.append(start2,anchor),assign_nodes(start2,anchor),frag}function append(anchor,dom){if(hydrating){var effect2=active_effect;((effect2.f&EFFECT_RAN)===0||effect2.nodes.end===null)&&(effect2.nodes.end=hydrate_node),hydrate_next();return}anchor!==null&&anchor.before(dom)}function props_id(){if(hydrating&&hydrate_node&&hydrate_node.nodeType===COMMENT_NODE&&hydrate_node.textContent?.startsWith("$")){const id2=hydrate_node.textContent.substring(1);return hydrate_next(),id2}return(window.__svelte??=
+{}).uid??=1,`c${window.__svelte.uid++}`}let should_intro=!0;function set_should_intro(value){should_intro=value}function set_text(text2,value){var str=value==null?"":typeof value=="object"?value+"":value;str!==(text2.__t??=text2.nodeValue)&&(text2.__t=str,text2.nodeValue=str+"")}function mount(component2,options){return _mount(component2,options)}function hydrate(component2,options){init_operations(),options.intro=options.intro??!1;const target2=options.target,was_hydrating=hydrating,previous_hydrate_node=hydrate_node;
+try{for(var anchor=get_first_child(target2);anchor&&(anchor.nodeType!==COMMENT_NODE||anchor.data!==HYDRATION_START);)anchor=get_next_sibling(anchor);if(!anchor)throw HYDRATION_ERROR;set_hydrating(!0),set_hydrate_node(anchor);const instance=_mount(component2,{...options,anchor});return set_hydrating(!1),instance}catch(error2){if(error2 instanceof Error&&error2.message.split(`
+`).some(line=>line.startsWith("https://svelte.dev/e/")))throw error2;return error2!==HYDRATION_ERROR&&console.warn("Failed to hydrate: ",error2),options.recover===!1&&hydration_failed(),init_operations(),clear_text_content(target2),set_hydrating(!1),mount(component2,options)}finally{set_hydrating(was_hydrating),set_hydrate_node(previous_hydrate_node)}}const document_listeners=new Map;function _mount(Component,{target:target2,anchor,props={},events,context,intro=!0}){init_operations();var registered_events=new Set,
+event_handle=events2=>{for(var i=0;i<events2.length;i++){var event_name=events2[i];if(!registered_events.has(event_name)){registered_events.add(event_name);var passive=is_passive_event(event_name);target2.addEventListener(event_name,handle_event_propagation,{passive});var n=document_listeners.get(event_name);n===void 0?(document.addEventListener(event_name,handle_event_propagation,{passive}),document_listeners.set(event_name,1)):document_listeners.set(event_name,n+1)}}};event_handle(array_from(all_registered_events)),
+root_event_handles.add(event_handle);var component2=void 0,unmount2=component_root(()=>{var anchor_node=anchor??target2.appendChild(create_text());return boundary(anchor_node,{pending:()=>{}},anchor_node2=>{if(context){push$1({});var ctx=component_context;ctx.c=context}if(events&&(props.$$events=events),hydrating&&assign_nodes(anchor_node2,null),should_intro=intro,component2=Component(anchor_node2,props)||{},should_intro=!0,hydrating&&(active_effect.nodes.end=hydrate_node,hydrate_node===null||hydrate_node.
+nodeType!==COMMENT_NODE||hydrate_node.data!==HYDRATION_END))throw hydration_mismatch(),HYDRATION_ERROR;context&&pop()}),()=>{for(var event_name of registered_events){target2.removeEventListener(event_name,handle_event_propagation);var n=document_listeners.get(event_name);--n===0?(document.removeEventListener(event_name,handle_event_propagation),document_listeners.delete(event_name)):document_listeners.set(event_name,n)}root_event_handles.delete(event_handle),anchor_node!==anchor&&anchor_node.parentNode?.
+removeChild(anchor_node)}});return mounted_components.set(component2,unmount2),component2}let mounted_components=new WeakMap;function unmount(component2,options){const fn=mounted_components.get(component2);return fn?(mounted_components.delete(component2),fn(options)):Promise.resolve()}class BranchManager{anchor;#batches=new Map;#onscreen=new Map;#offscreen=new Map;#outroing=new Set;#transition=!0;constructor(anchor,transition2=!0){this.anchor=anchor,this.#transition=transition2}#commit=()=>{var batch=current_batch;
+if(this.#batches.has(batch)){var key2=this.#batches.get(batch),onscreen=this.#onscreen.get(key2);if(onscreen)resume_effect(onscreen),this.#outroing.delete(key2);else{var offscreen=this.#offscreen.get(key2);offscreen&&(this.#onscreen.set(key2,offscreen.effect),this.#offscreen.delete(key2),offscreen.fragment.lastChild.remove(),this.anchor.before(offscreen.fragment),onscreen=offscreen.effect)}for(const[b,k]of this.#batches){if(this.#batches.delete(b),b===batch)break;const offscreen2=this.#offscreen.
+get(k);offscreen2&&(destroy_effect(offscreen2.effect),this.#offscreen.delete(k))}for(const[k,effect2]of this.#onscreen){if(k===key2||this.#outroing.has(k))continue;const on_destroy=()=>{if(Array.from(this.#batches.values()).includes(k)){var fragment=document.createDocumentFragment();move_effect(effect2,fragment),fragment.append(create_text()),this.#offscreen.set(k,{effect:effect2,fragment})}else destroy_effect(effect2);this.#outroing.delete(k),this.#onscreen.delete(k)};this.#transition||!onscreen?
+(this.#outroing.add(k),pause_effect(effect2,on_destroy,!1)):on_destroy()}}};#discard=batch=>{this.#batches.delete(batch);const keys2=Array.from(this.#batches.values());for(const[k,branch2]of this.#offscreen)keys2.includes(k)||(destroy_effect(branch2.effect),this.#offscreen.delete(k))};ensure(key2,fn){var batch=current_batch,defer=should_defer_append();if(fn&&!this.#onscreen.has(key2)&&!this.#offscreen.has(key2))if(defer){var fragment=document.createDocumentFragment(),target2=create_text();fragment.
+append(target2),this.#offscreen.set(key2,{effect:branch(()=>fn(target2)),fragment})}else this.#onscreen.set(key2,branch(()=>fn(this.anchor)));if(this.#batches.set(batch,key2),defer){for(const[k,effect2]of this.#onscreen)k===key2?batch.skipped_effects.delete(effect2):batch.skipped_effects.add(effect2);for(const[k,branch2]of this.#offscreen)k===key2?batch.skipped_effects.delete(branch2.effect):batch.skipped_effects.add(branch2.effect);batch.oncommit(this.#commit),batch.ondiscard(this.#discard)}else
+hydrating&&(this.anchor=hydrate_node),this.#commit()}}function if_block(node2,fn,elseif=!1){hydrating&&hydrate_next();var branches=new BranchManager(node2),flags2=elseif?EFFECT_TRANSPARENT:0;function update_branch(condition,fn2){if(hydrating){const is_else=read_hydration_instruction(node2)===HYDRATION_START_ELSE;if(condition===is_else){var anchor=skip_nodes();set_hydrate_node(anchor),branches.anchor=anchor,set_hydrating(!1),branches.ensure(condition,fn2),set_hydrating(!0);return}}branches.ensure(
+condition,fn2)}block(()=>{var has_branch=!1;fn((fn2,flag=!0)=>{has_branch=!0,update_branch(flag,fn2)}),has_branch||update_branch(!1,null)},flags2)}function key$1(node2,get_key,render_fn){hydrating&&hydrate_next();var branches=new BranchManager(node2),legacy=!is_runes();block(()=>{var key2=get_key();legacy&&key2!==null&&typeof key2=="object"&&(key2={}),branches.ensure(key2,render_fn)})}function index$2(_,i){return i}function pause_effects(state2,to_destroy,controlled_anchor){for(var transitions=[],
+length=to_destroy.length,group,remaining=to_destroy.length,i=0;i<length;i++){let effect2=to_destroy[i];pause_effect(effect2,()=>{if(group){if(group.pending.delete(effect2),group.done.add(effect2),group.pending.size===0){var groups=state2.outrogroups;destroy_effects(array_from(group.done)),groups.delete(group),groups.size===0&&(state2.outrogroups=null)}}else remaining-=1},!1)}if(remaining===0){var fast_path=transitions.length===0&&controlled_anchor!==null;if(fast_path){var anchor=controlled_anchor,
+parent_node=anchor.parentNode;clear_text_content(parent_node),parent_node.append(anchor),state2.items.clear()}destroy_effects(to_destroy,!fast_path)}else group={pending:new Set(to_destroy),done:new Set},(state2.outrogroups??=new Set).add(group)}function destroy_effects(to_destroy,remove_dom=!0){for(var i=0;i<to_destroy.length;i++)destroy_effect(to_destroy[i],remove_dom)}var offscreen_anchor;function each(node2,flags2,get_collection,get_key,render_fn,fallback_fn=null){var anchor=node2,items2=new Map,
+is_controlled=(flags2&EACH_IS_CONTROLLED)!==0;if(is_controlled){var parent_node=node2;anchor=hydrating?set_hydrate_node(get_first_child(parent_node)):parent_node.appendChild(create_text())}hydrating&&hydrate_next();var fallback2=null,each_array=derived_safe_equal(()=>{var collection=get_collection();return is_array(collection)?collection:collection==null?[]:array_from(collection)}),array2,first_run=!0;function commit(){state2.fallback=fallback2,reconcile(state2,array2,anchor,flags2,get_key),fallback2!==
+null&&(array2.length===0?(fallback2.f&EFFECT_OFFSCREEN)===0?resume_effect(fallback2):(fallback2.f^=EFFECT_OFFSCREEN,move(fallback2,null,anchor)):pause_effect(fallback2,()=>{fallback2=null}))}var effect2=block(()=>{array2=get$4(each_array);var length=array2.length;let mismatch=!1;if(hydrating){var is_else=read_hydration_instruction(anchor)===HYDRATION_START_ELSE;is_else!==(length===0)&&(anchor=skip_nodes(),set_hydrate_node(anchor),set_hydrating(!1),mismatch=!0)}for(var keys2=new Set,batch=current_batch,
+defer=should_defer_append(),index2=0;index2<length;index2+=1){hydrating&&hydrate_node.nodeType===COMMENT_NODE&&hydrate_node.data===HYDRATION_END&&(anchor=hydrate_node,mismatch=!0,set_hydrating(!1));var value=array2[index2],key2=get_key(value,index2),item=first_run?null:items2.get(key2);item?(item.v&&internal_set(item.v,value),item.i&&internal_set(item.i,index2),defer&&batch.skipped_effects.delete(item.e)):(item=create_item(items2,first_run?anchor:offscreen_anchor??=create_text(),value,key2,index2,
+render_fn,flags2,get_collection),first_run||(item.e.f|=EFFECT_OFFSCREEN),items2.set(key2,item)),keys2.add(key2)}if(length===0&&fallback_fn&&!fallback2&&(first_run?fallback2=branch(()=>fallback_fn(anchor)):(fallback2=branch(()=>fallback_fn(offscreen_anchor??=create_text())),fallback2.f|=EFFECT_OFFSCREEN)),hydrating&&length>0&&set_hydrate_node(skip_nodes()),!first_run)if(defer){for(const[key3,item2]of items2)keys2.has(key3)||batch.skipped_effects.add(item2.e);batch.oncommit(commit),batch.ondiscard(
+()=>{})}else commit();mismatch&&set_hydrating(!0),get$4(each_array)}),state2={effect:effect2,items:items2,outrogroups:null,fallback:fallback2};first_run=!1,hydrating&&(anchor=hydrate_node)}function reconcile(state2,array2,anchor,flags2,get_key){var is_animated=(flags2&EACH_IS_ANIMATED)!==0,length=array2.length,items2=state2.items,current2=state2.effect.first,seen2,prev2=null,to_animate,matched=[],stashed=[],value,key2,effect2,i;if(is_animated)for(i=0;i<length;i+=1)value=array2[i],key2=get_key(value,
+i),effect2=items2.get(key2).e,(effect2.f&EFFECT_OFFSCREEN)===0&&(effect2.nodes?.a?.measure(),(to_animate??=new Set).add(effect2));for(i=0;i<length;i+=1){if(value=array2[i],key2=get_key(value,i),effect2=items2.get(key2).e,state2.outrogroups!==null)for(const group of state2.outrogroups)group.pending.delete(effect2),group.done.delete(effect2);if((effect2.f&EFFECT_OFFSCREEN)!==0)if(effect2.f^=EFFECT_OFFSCREEN,effect2===current2)move(effect2,null,anchor);else{var next2=prev2?prev2.next:current2;effect2===
+state2.effect.last&&(state2.effect.last=effect2.prev),effect2.prev&&(effect2.prev.next=effect2.next),effect2.next&&(effect2.next.prev=effect2.prev),link$2(state2,prev2,effect2),link$2(state2,effect2,next2),move(effect2,next2,anchor),prev2=effect2,matched=[],stashed=[],current2=prev2.next;continue}if((effect2.f&INERT)!==0&&(resume_effect(effect2),is_animated&&(effect2.nodes?.a?.unfix(),(to_animate??=new Set).delete(effect2))),effect2!==current2){if(seen2!==void 0&&seen2.has(effect2)){if(matched.length<
+stashed.length){var start2=stashed[0],j;prev2=start2.prev;var a=matched[0],b=matched[matched.length-1];for(j=0;j<matched.length;j+=1)move(matched[j],start2,anchor);for(j=0;j<stashed.length;j+=1)seen2.delete(stashed[j]);link$2(state2,a.prev,b.next),link$2(state2,prev2,a),link$2(state2,b,start2),current2=start2,prev2=b,i-=1,matched=[],stashed=[]}else seen2.delete(effect2),move(effect2,current2,anchor),link$2(state2,effect2.prev,effect2.next),link$2(state2,effect2,prev2===null?state2.effect.first:prev2.
+next),link$2(state2,prev2,effect2),prev2=effect2;continue}for(matched=[],stashed=[];current2!==null&&current2!==effect2;)(seen2??=new Set).add(current2),stashed.push(current2),current2=current2.next;if(current2===null)continue}(effect2.f&EFFECT_OFFSCREEN)===0&&matched.push(effect2),prev2=effect2,current2=effect2.next}if(state2.outrogroups!==null){for(const group of state2.outrogroups)group.pending.size===0&&(destroy_effects(array_from(group.done)),state2.outrogroups?.delete(group));state2.outrogroups.
+size===0&&(state2.outrogroups=null)}if(current2!==null||seen2!==void 0){var to_destroy=[];if(seen2!==void 0)for(effect2 of seen2)(effect2.f&INERT)===0&&to_destroy.push(effect2);for(;current2!==null;)(current2.f&INERT)===0&&current2!==state2.fallback&&to_destroy.push(current2),current2=current2.next;var destroy_length=to_destroy.length;if(destroy_length>0){var controlled_anchor=(flags2&EACH_IS_CONTROLLED)!==0&&length===0?anchor:null;if(is_animated){for(i=0;i<destroy_length;i+=1)to_destroy[i].nodes?.
+a?.measure();for(i=0;i<destroy_length;i+=1)to_destroy[i].nodes?.a?.fix()}pause_effects(state2,to_destroy,controlled_anchor)}}is_animated&&queue_micro_task(()=>{if(to_animate!==void 0)for(effect2 of to_animate)effect2.nodes?.a?.apply()})}function create_item(items2,anchor,value,key2,index2,render_fn,flags2,get_collection){var v=(flags2&EACH_ITEM_REACTIVE)!==0?(flags2&EACH_ITEM_IMMUTABLE)===0?mutable_source(value,!1,!1):source$2(value):null,i=(flags2&EACH_INDEX_REACTIVE)!==0?source$2(index2):null;
+return{v,i,e:branch(()=>(render_fn(anchor,v??value,i??index2,get_collection),()=>{items2.delete(key2)}))}}function move(effect2,next2,anchor){if(effect2.nodes)for(var node2=effect2.nodes.start,end=effect2.nodes.end,dest=next2&&(next2.f&EFFECT_OFFSCREEN)===0?next2.nodes.start:anchor;node2!==null;){var next_node=get_next_sibling(node2);if(dest.before(node2),node2===end)return;node2=next_node}}function link$2(state2,prev2,next2){prev2===null?state2.effect.first=next2:prev2.next=next2,next2===null?state2.
+effect.last=prev2:next2.prev=prev2}function html$6(node2,get_value,svg2=!1,mathml=!1,skip_warning=!1){var anchor=node2,value="";template_effect(()=>{var effect2=active_effect;if(value===(value=get_value()??"")){hydrating&&hydrate_next();return}if(effect2.nodes!==null&&(remove_effect_dom(effect2.nodes.start,effect2.nodes.end),effect2.nodes=null),value!==""){if(hydrating){hydrate_node.data;for(var next2=hydrate_next(),last=next2;next2!==null&&(next2.nodeType!==COMMENT_NODE||next2.data!=="");)last=
+next2,next2=get_next_sibling(next2);if(next2===null)throw hydration_mismatch(),HYDRATION_ERROR;assign_nodes(hydrate_node,last),anchor=set_hydrate_node(next2);return}var html2=value+"";svg2?html2=`<svg>${html2}</svg>`:mathml&&(html2=`<math>${html2}</math>`);var node3=create_fragment_from_html(html2);if((svg2||mathml)&&(node3=get_first_child(node3)),assign_nodes(get_first_child(node3),node3.lastChild),svg2||mathml)for(;get_first_child(node3);)anchor.before(get_first_child(node3));else anchor.before(
+node3)}})}function snippet(node2,get_snippet,...args){var branches=new BranchManager(node2);block(()=>{const snippet2=get_snippet()??null;branches.ensure(snippet2,snippet2&&(anchor=>snippet2(anchor,...args)))},EFFECT_TRANSPARENT)}function createRawSnippet(fn){return(anchor,...params)=>{var snippet2=fn(...params),element2;if(hydrating)element2=hydrate_node,hydrate_next();else{var html2=snippet2.render().trim(),fragment=create_fragment_from_html(html2);element2=get_first_child(fragment),anchor.before(
+element2)}const result=snippet2.setup?.(element2);assign_nodes(element2,element2),typeof result=="function"&&teardown(result)}}function component(node2,get_component,render_fn){hydrating&&hydrate_next();var branches=new BranchManager(node2);block(()=>{var component2=get_component()??null;branches.ensure(component2,component2&&(target2=>render_fn(target2,component2)))},EFFECT_TRANSPARENT)}const now=()=>performance.now(),raf={tick:_=>requestAnimationFrame(_),now:()=>now(),tasks:new Set};function run_tasks(){
+const now2=raf.now();raf.tasks.forEach(task=>{task.c(now2)||(raf.tasks.delete(task),task.f())}),raf.tasks.size!==0&&raf.tick(run_tasks)}function loop(callback){let task;return raf.tasks.size===0&&raf.tick(run_tasks),{promise:new Promise(fulfill=>{raf.tasks.add(task={c:callback,f:fulfill})}),abort(){raf.tasks.delete(task)}}}function dispatch_event(element2,type2){without_reactive_context(()=>{element2.dispatchEvent(new CustomEvent(type2))})}function css_property_to_camelcase(style2){if(style2==="\
+float")return"cssFloat";if(style2==="offset")return"cssOffset";if(style2.startsWith("--"))return style2;const parts=style2.split("-");return parts.length===1?parts[0]:parts[0]+parts.slice(1).map(word=>word[0].toUpperCase()+word.slice(1)).join("")}function css_to_keyframe(css2){const keyframe={},parts=css2.split(";");for(const part of parts){const[property,value]=part.split(":");if(!property||value===void 0)break;const formatted_property=css_property_to_camelcase(property.trim());keyframe[formatted_property]=
+value.trim()}return keyframe}const linear$1=t=>t;function transition(flags2,element2,get_fn,get_params){var is_intro=(flags2&TRANSITION_IN)!==0,is_outro=(flags2&TRANSITION_OUT)!==0,is_both=is_intro&&is_outro,is_global=(flags2&TRANSITION_GLOBAL)!==0,direction=is_both?"both":is_intro?"in":"out",current_options,inert=element2.inert,overflow=element2.style.overflow,intro,outro;function get_options(){return without_reactive_context(()=>current_options??=get_fn()(element2,get_params?.()??{},{direction}))}
+var transition2={is_global,in(){if(element2.inert=inert,!is_intro){outro?.abort(),outro?.reset?.();return}is_outro||intro?.abort(),dispatch_event(element2,"introstart"),intro=animate(element2,get_options(),outro,1,()=>{dispatch_event(element2,"introend"),intro?.abort(),intro=current_options=void 0,element2.style.overflow=overflow})},out(fn){if(!is_outro){fn?.(),current_options=void 0;return}element2.inert=!0,dispatch_event(element2,"outrostart"),outro=animate(element2,get_options(),intro,0,()=>{
+dispatch_event(element2,"outroend"),fn?.()})},stop:()=>{intro?.abort(),outro?.abort()}},e=active_effect;if((e.nodes.t??=[]).push(transition2),is_intro&&should_intro){var run2=is_global;if(!run2){for(var block2=e.parent;block2&&(block2.f&EFFECT_TRANSPARENT)!==0;)for(;(block2=block2.parent)&&(block2.f&BLOCK_EFFECT)===0;);run2=!block2||(block2.f&EFFECT_RAN)!==0}run2&&effect(()=>{untrack$1(()=>transition2.in())})}}function animate(element2,options,counterpart,t2,on_finish){var is_intro=t2===1;if(is_function(
+options)){var a,aborted2=!1;return queue_micro_task(()=>{if(!aborted2){var o=options({direction:is_intro?"in":"out"});a=animate(element2,o,counterpart,t2,on_finish)}}),{abort:()=>{aborted2=!0,a?.abort()},deactivate:()=>a.deactivate(),reset:()=>a.reset(),t:()=>a.t()}}if(counterpart?.deactivate(),!options?.duration)return on_finish(),{abort:noop$3,deactivate:noop$3,reset:noop$3,t:()=>t2};const{delay=0,css:css2,tick:tick2,easing=linear$1}=options;var keyframes=[];if(is_intro&&counterpart===void 0&&
+(tick2&&tick2(0,1),css2)){var styles2=css_to_keyframe(css2(0,1));keyframes.push(styles2,styles2)}var get_t=()=>1-t2,animation=element2.animate(keyframes,{duration:delay,fill:"forwards"});return animation.onfinish=()=>{animation.cancel();var t1=counterpart?.t()??1-t2;counterpart?.abort();var delta=t2-t1,duration2=options.duration*Math.abs(delta),keyframes2=[];if(duration2>0){var needs_overflow_hidden=!1;if(css2)for(var n=Math.ceil(duration2/16.666666666666668),i=0;i<=n;i+=1){var t=t1+delta*easing(
+i/n),styles3=css_to_keyframe(css2(t,1-t));keyframes2.push(styles3),needs_overflow_hidden||=styles3.overflow==="hidden"}needs_overflow_hidden&&(element2.style.overflow="hidden"),get_t=()=>{var time2=animation.currentTime;return t1+delta*easing(time2/duration2)},tick2&&loop(()=>{if(animation.playState!=="running")return!1;var t3=get_t();return tick2(t3,1-t3),!0})}animation=element2.animate(keyframes2,{duration:duration2,fill:"forwards"}),animation.onfinish=()=>{get_t=()=>t2,tick2?.(t2,1-t2),on_finish()}},
+{abort:()=>{animation&&(animation.cancel(),animation.effect=null,animation.onfinish=noop$3)},deactivate:()=>{on_finish=noop$3},reset:()=>{t2===0&&tick2?.(1,0)},t:()=>get_t()}}function element$4(node2,get_tag,is_svg,render_fn,get_namespace,location2){let was_hydrating=hydrating;hydrating&&hydrate_next();var element2=null;hydrating&&hydrate_node.nodeType===ELEMENT_NODE$1&&(element2=hydrate_node,hydrate_next());var anchor=hydrating?hydrate_node:node2,branches=new BranchManager(anchor,!1);block(()=>{
+const next_tag=get_tag()||null;var ns=is_svg||next_tag==="svg"?NAMESPACE_SVG:null;if(next_tag===null){branches.ensure(null,null),set_should_intro(!0);return}return branches.ensure(next_tag,anchor2=>{if(next_tag){if(element2=hydrating?element2:ns?document.createElementNS(ns,next_tag):document.createElement(next_tag),assign_nodes(element2,element2),render_fn){hydrating&&is_raw_text_element(next_tag)&&element2.append(document.createComment(""));var child_anchor=hydrating?get_first_child(element2):element2.
+appendChild(create_text());hydrating&&(child_anchor===null?set_hydrating(!1):set_hydrate_node(child_anchor)),render_fn(element2,child_anchor)}active_effect.nodes.end=element2,anchor2.before(element2)}hydrating&&set_hydrate_node(anchor2)}),set_should_intro(!0),()=>{next_tag&&set_should_intro(!1)}},EFFECT_TRANSPARENT),teardown(()=>{set_should_intro(!0)}),was_hydrating&&(set_hydrating(!0),set_hydrate_node(anchor))}function head$1(hash2,render_fn){let previous_hydrate_node=null,was_hydrating=hydrating;
+var anchor;if(hydrating){previous_hydrate_node=hydrate_node;for(var head_anchor=get_first_child(document.head);head_anchor!==null&&(head_anchor.nodeType!==COMMENT_NODE||head_anchor.data!==hash2);)head_anchor=get_next_sibling(head_anchor);if(head_anchor===null)set_hydrating(!1);else{var start2=get_next_sibling(head_anchor);head_anchor.remove(),set_hydrate_node(start2)}}hydrating||(anchor=document.head.appendChild(create_text()));try{block(()=>render_fn(anchor),HEAD_EFFECT)}finally{was_hydrating&&
+(set_hydrating(!0),set_hydrate_node(previous_hydrate_node))}}function action(dom,action2,get_value){effect(()=>{var payload=untrack$1(()=>action2(dom,get_value?.())||{});if(get_value&&payload?.update){var inited2=!1,prev2={};render_effect(()=>{var value=get_value();deep_read_state(value),inited2&&safe_not_equal(prev2,value)&&(prev2=value,payload.update(value))}),inited2=!0}if(payload?.destroy)return()=>payload.destroy()})}function attach(node2,get_fn){var fn=void 0,e;managed(()=>{fn!==(fn=get_fn())&&
+(e&&(destroy_effect(e),e=null),fn&&(e=branch(()=>{effect(()=>fn(node2))})))})}function r$1(e){var t,f,n="";if(typeof e=="string"||typeof e=="number")n+=e;else if(typeof e=="object")if(Array.isArray(e)){var o=e.length;for(t=0;t<o;t++)e[t]&&(f=r$1(e[t]))&&(n&&(n+=" "),n+=f)}else for(f in e)e[f]&&(n&&(n+=" "),n+=f);return n}function clsx$1(){for(var e,t,f=0,n="",o=arguments.length;f<o;f++)(e=arguments[f])&&(t=r$1(e))&&(n&&(n+=" "),n+=t);return n}function clsx(value){return typeof value=="object"?clsx$1(
+value):value??""}const whitespace$1=[...` 	
+\r\f \v\uFEFF`];function to_class(value,hash2,directives){var classname=value==null?"":""+value;if(hash2&&(classname=classname?classname+" "+hash2:hash2),directives){for(var key2 in directives)if(directives[key2])classname=classname?classname+" "+key2:key2;else if(classname.length)for(var len=key2.length,a=0;(a=classname.indexOf(key2,a))>=0;){var b=a+len;(a===0||whitespace$1.includes(classname[a-1]))&&(b===classname.length||whitespace$1.includes(classname[b]))?classname=(a===0?"":classname.substring(
+0,a))+classname.substring(b+1):a=b}}return classname===""?null:classname}function append_styles(styles2,important=!1){var separator=important?" !important;":";",css2="";for(var key2 in styles2){var value=styles2[key2];value!=null&&value!==""&&(css2+=" "+key2+": "+value+separator)}return css2}function to_css_name(name){return name[0]!=="-"||name[1]!=="-"?name.toLowerCase():name}function to_style(value,styles2){if(styles2){var new_style="",normal_styles,important_styles;if(Array.isArray(styles2)?(normal_styles=
+styles2[0],important_styles=styles2[1]):normal_styles=styles2,value){value=String(value).replaceAll(/\s*\/\*.*?\*\/\s*/g,"").trim();var in_str=!1,in_apo=0,in_comment=!1,reserved_names=[];normal_styles&&reserved_names.push(...Object.keys(normal_styles).map(to_css_name)),important_styles&&reserved_names.push(...Object.keys(important_styles).map(to_css_name));var start_index=0,name_index=-1;const len=value.length;for(var i=0;i<len;i++){var c2=value[i];if(in_comment?c2==="/"&&value[i-1]==="*"&&(in_comment=
+!1):in_str?in_str===c2&&(in_str=!1):c2==="/"&&value[i+1]==="*"?in_comment=!0:c2==='"'||c2==="'"?in_str=c2:c2==="("?in_apo++:c2===")"&&in_apo--,!in_comment&&in_str===!1&&in_apo===0){if(c2===":"&&name_index===-1)name_index=i;else if(c2===";"||i===len-1){if(name_index!==-1){var name=to_css_name(value.substring(start_index,name_index).trim());if(!reserved_names.includes(name)){c2!==";"&&i++;var property=value.substring(start_index,i).trim();new_style+=" "+property+";"}}start_index=i+1,name_index=-1}}}}
+return normal_styles&&(new_style+=append_styles(normal_styles)),important_styles&&(new_style+=append_styles(important_styles,!0)),new_style=new_style.trim(),new_style===""?null:new_style}return value==null?null:String(value)}function set_class(dom,is_html,value,hash2,prev_classes,next_classes){var prev2=dom.__className;if(hydrating||prev2!==value||prev2===void 0){var next_class_name=to_class(value,hash2,next_classes);(!hydrating||next_class_name!==dom.getAttribute("class"))&&(next_class_name==null?
+dom.removeAttribute("class"):is_html?dom.className=next_class_name:dom.setAttribute("class",next_class_name)),dom.__className=value}else if(next_classes&&prev_classes!==next_classes)for(var key2 in next_classes){var is_present=!!next_classes[key2];(prev_classes==null||is_present!==!!prev_classes[key2])&&dom.classList.toggle(key2,is_present)}return next_classes}function update_styles(dom,prev2={},next2,priority){for(var key2 in next2){var value=next2[key2];prev2[key2]!==value&&(next2[key2]==null?
+dom.style.removeProperty(key2):dom.style.setProperty(key2,value,priority))}}function set_style(dom,value,prev_styles,next_styles){var prev2=dom.__style;if(hydrating||prev2!==value){var next_style_attr=to_style(value,next_styles);(!hydrating||next_style_attr!==dom.getAttribute("style"))&&(next_style_attr==null?dom.removeAttribute("style"):dom.style.cssText=next_style_attr),dom.__style=value}else next_styles&&(Array.isArray(next_styles)?(update_styles(dom,prev_styles?.[0],next_styles[0]),update_styles(
+dom,prev_styles?.[1],next_styles[1],"important")):update_styles(dom,prev_styles,next_styles));return next_styles}function select_option(select,value,mounting=!1){if(select.multiple){if(value==null)return;if(!is_array(value))return select_multiple_invalid_value();for(var option2 of select.options)option2.selected=value.includes(get_option_value(option2));return}for(option2 of select.options){var option_value=get_option_value(option2);if(is(option_value,value)){option2.selected=!0;return}}(!mounting||
+value!==void 0)&&(select.selectedIndex=-1)}function init_select(select){var observer=new MutationObserver(()=>{select_option(select,select.__value)});observer.observe(select,{childList:!0,subtree:!0,attributes:!0,attributeFilter:["value"]}),teardown(()=>{observer.disconnect()})}function get_option_value(option2){return"__value"in option2?option2.__value:option2.value}const CLASS=Symbol("class"),STYLE=Symbol("style"),IS_CUSTOM_ELEMENT=Symbol("is custom element"),IS_HTML=Symbol("is html");function remove_input_defaults(input){
+if(hydrating){var already_removed=!1,remove_defaults=()=>{if(!already_removed){if(already_removed=!0,input.hasAttribute("value")){var value=input.value;set_attribute(input,"value",null),input.value=value}if(input.hasAttribute("checked")){var checked=input.checked;set_attribute(input,"checked",null),input.checked=checked}}};input.__on_r=remove_defaults,queue_micro_task(remove_defaults),add_form_reset_listener()}}function set_value(element2,value){var attributes=get_attributes(element2);attributes.
+value===(attributes.value=value??void 0)||element2.value===value&&(value!==0||element2.nodeName!=="PROGRESS")||(element2.value=value??"")}function set_selected(element2,selected){selected?element2.hasAttribute("selected")||element2.setAttribute("selected",""):element2.removeAttribute("selected")}function set_attribute(element2,attribute,value,skip_warning){var attributes=get_attributes(element2);hydrating&&(attributes[attribute]=element2.getAttribute(attribute),attribute==="src"||attribute==="sr\
+cset"||attribute==="href"&&element2.nodeName==="LINK")||attributes[attribute]!==(attributes[attribute]=value)&&(attribute==="loading"&&(element2[LOADING_ATTR_SYMBOL]=value),value==null?element2.removeAttribute(attribute):typeof value!="string"&&get_setters(element2).includes(attribute)?element2[attribute]=value:element2.setAttribute(attribute,value))}function set_attributes(element2,prev2,next2,css_hash,should_remove_defaults=!1,skip_warning=!1){if(hydrating&&should_remove_defaults&&element2.tagName===
+"INPUT"){var input=element2,attribute=input.type==="checkbox"?"defaultChecked":"defaultValue";attribute in next2||remove_input_defaults(input)}var attributes=get_attributes(element2),is_custom_element=attributes[IS_CUSTOM_ELEMENT],preserve_attribute_case=!attributes[IS_HTML];let is_hydrating_custom_element=hydrating&&is_custom_element;is_hydrating_custom_element&&set_hydrating(!1);var current2=prev2||{},is_option_element=element2.tagName==="OPTION";for(var key2 in prev2)key2 in next2||(next2[key2]=
+null);next2.class?next2.class=clsx(next2.class):(css_hash||next2[CLASS])&&(next2.class=null),next2[STYLE]&&(next2.style??=null);var setters=get_setters(element2);for(const key3 in next2){let value=next2[key3];if(is_option_element&&key3==="value"&&value==null){element2.value=element2.__value="",current2[key3]=value;continue}if(key3==="class"){var is_html=element2.namespaceURI==="http://www.w3.org/1999/xhtml";set_class(element2,is_html,value,css_hash,prev2?.[CLASS],next2[CLASS]),current2[key3]=value,
+current2[CLASS]=next2[CLASS];continue}if(key3==="style"){set_style(element2,value,prev2?.[STYLE],next2[STYLE]),current2[key3]=value,current2[STYLE]=next2[STYLE];continue}var prev_value=current2[key3];if(!(value===prev_value&&!(value===void 0&&element2.hasAttribute(key3)))){current2[key3]=value;var prefix=key3[0]+key3[1];if(prefix!=="$$")if(prefix==="on"){const opts={},event_handle_key="$$"+key3;let event_name=key3.slice(2);var delegated=can_delegate_event(event_name);if(is_capture_event(event_name)&&
+(event_name=event_name.slice(0,-7),opts.capture=!0),!delegated&&prev_value){if(value!=null)continue;element2.removeEventListener(event_name,current2[event_handle_key],opts),current2[event_handle_key]=null}if(value!=null)if(delegated)element2[`__${event_name}`]=value,delegate([event_name]);else{let handle2=function(evt){current2[key3].call(this,evt)};current2[event_handle_key]=create_event(event_name,element2,handle2,opts)}else delegated&&(element2[`__${event_name}`]=void 0)}else if(key3==="style")
+set_attribute(element2,key3,value);else if(key3==="autofocus")autofocus(element2,!!value);else if(!is_custom_element&&(key3==="__value"||key3==="value"&&value!=null))element2.value=element2.__value=value;else if(key3==="selected"&&is_option_element)set_selected(element2,value);else{var name=key3;preserve_attribute_case||(name=normalize_attribute(name));var is_default=name==="defaultValue"||name==="defaultChecked";if(value==null&&!is_custom_element&&!is_default)if(attributes[key3]=null,name==="va\
+lue"||name==="checked"){let input2=element2;const use_default=prev2===void 0;if(name==="value"){let previous2=input2.defaultValue;input2.removeAttribute(name),input2.defaultValue=previous2,input2.value=input2.__value=use_default?previous2:null}else{let previous2=input2.defaultChecked;input2.removeAttribute(name),input2.defaultChecked=previous2,input2.checked=use_default?previous2:!1}}else element2.removeAttribute(key3);else is_default||setters.includes(name)&&(is_custom_element||typeof value!="s\
+tring")?(element2[name]=value,name in attributes&&(attributes[name]=UNINITIALIZED)):typeof value!="function"&&set_attribute(element2,name,value)}}}return is_hydrating_custom_element&&set_hydrating(!0),current2}function attribute_effect(element2,fn,sync=[],async=[],blockers=[],css_hash,should_remove_defaults=!1,skip_warning=!1){flatten(blockers,sync,async,values=>{var prev2=void 0,effects={},is_select=element2.nodeName==="SELECT",inited2=!1;if(managed(()=>{var next2=fn(...values.map(get$4)),current2=set_attributes(
+element2,prev2,next2,css_hash,should_remove_defaults,skip_warning);inited2&&is_select&&"value"in next2&&select_option(element2,next2.value);for(let symbol of Object.getOwnPropertySymbols(effects))next2[symbol]||destroy_effect(effects[symbol]);for(let symbol of Object.getOwnPropertySymbols(next2)){var n=next2[symbol];symbol.description===ATTACHMENT_KEY&&(!prev2||n!==prev2[symbol])&&(effects[symbol]&&destroy_effect(effects[symbol]),effects[symbol]=branch(()=>attach(element2,()=>n))),current2[symbol]=
+n}prev2=current2}),is_select){var select=element2;effect(()=>{select_option(select,prev2.value,!0),init_select(select)})}inited2=!0})}function get_attributes(element2){return element2.__attributes??={[IS_CUSTOM_ELEMENT]:element2.nodeName.includes("-"),[IS_HTML]:element2.namespaceURI===NAMESPACE_HTML}}var setters_cache=new Map;function get_setters(element2){var cache_key=element2.getAttribute("is")||element2.nodeName,setters=setters_cache.get(cache_key);if(setters)return setters;setters_cache.set(
+cache_key,setters=[]);for(var descriptors,proto=element2,element_proto=Element.prototype;element_proto!==proto;){descriptors=get_descriptors(proto);for(var key2 in descriptors)descriptors[key2].set&&setters.push(key2);proto=get_prototype_of(proto)}return setters}function bind_value(input,get2,set2=get2){var batches2=new WeakSet;listen_to_event_and_reset_event(input,"input",async is_reset=>{var value=is_reset?input.defaultValue:input.value;if(value=is_numberlike_input(input)?to_number(value):value,
+set2(value),current_batch!==null&&batches2.add(current_batch),await tick(),value!==(value=get2())){var start2=input.selectionStart,end=input.selectionEnd,length=input.value.length;if(input.value=value??"",end!==null){var new_length=input.value.length;start2===end&&end===length&&new_length>length?(input.selectionStart=new_length,input.selectionEnd=new_length):(input.selectionStart=start2,input.selectionEnd=Math.min(end,new_length))}}}),(hydrating&&input.defaultValue!==input.value||untrack$1(get2)==
+null&&input.value)&&(set2(is_numberlike_input(input)?to_number(input.value):input.value),current_batch!==null&&batches2.add(current_batch)),render_effect(()=>{var value=get2();if(input===document.activeElement){var batch=previous_batch??current_batch;if(batches2.has(batch))return}is_numberlike_input(input)&&value===to_number(input.value)||input.type==="date"&&!value&&!input.value||value!==input.value&&(input.value=value??"")})}function is_numberlike_input(input){var type2=input.type;return type2===
+"number"||type2==="range"}function to_number(value){return value===""?null:+value}function bind_files(input,get2,set2=get2){listen_to_event_and_reset_event(input,"change",()=>{set2(input.files)}),hydrating&&input.files&&set2(input.files),render_effect(()=>{input.files=get2()})}function is_bound_this(bound_value,element_or_component){return bound_value===element_or_component||bound_value?.[STATE_SYMBOL]===element_or_component}function bind_this(element_or_component={},update2,get_value,get_parts){
+return effect(()=>{var old_parts,parts;return render_effect(()=>{old_parts=parts,parts=[],untrack$1(()=>{element_or_component!==get_value(...parts)&&(update2(element_or_component,...parts),old_parts&&is_bound_this(get_value(...old_parts),element_or_component)&&update2(null,...old_parts))})}),()=>{queue_micro_task(()=>{parts&&is_bound_this(get_value(...parts),element_or_component)&&update2(null,...parts)})}}),element_or_component}function bind_window_size(type2,set2){listen(window,["resize"],()=>without_reactive_context(
+()=>set2(window[type2])))}function init(immutable=!1){const context=component_context,callbacks=context.l.u;if(!callbacks)return;let props=()=>deep_read_state(context.s);if(immutable){let version2=0,prev2={};const d2=derived(()=>{let changed=!1;const props2=context.s;for(const key2 in props2)props2[key2]!==prev2[key2]&&(prev2[key2]=props2[key2],changed=!0);return changed&&version2++,version2});props=()=>get$4(d2)}callbacks.b.length&&user_pre_effect(()=>{observe_all(context,props),run_all(callbacks.
+b)}),user_effect(()=>{const fns=untrack$1(()=>callbacks.m.map(run));return()=>{for(const fn of fns)typeof fn=="function"&&fn()}}),callbacks.a.length&&user_effect(()=>{observe_all(context,props),run_all(callbacks.a)})}function observe_all(context,props){if(context.l.s)for(const signal of context.l.s)get$4(signal);props()}function subscribe_to_store(store,run2,invalidate){if(store==null)return run2(void 0),noop$3;const unsub=untrack$1(()=>store.subscribe(run2,invalidate));return unsub.unsubscribe?
+()=>unsub.unsubscribe():unsub}const subscriber_queue=[];function writable(value,start2=noop$3){let stop=null;const subscribers=new Set;function set2(new_value){if(safe_not_equal(value,new_value)&&(value=new_value,stop)){const run_queue=!subscriber_queue.length;for(const subscriber of subscribers)subscriber[1](),subscriber_queue.push(subscriber,value);if(run_queue){for(let i=0;i<subscriber_queue.length;i+=2)subscriber_queue[i][0](subscriber_queue[i+1]);subscriber_queue.length=0}}}function update2(fn){
+set2(fn(value))}function subscribe(run2,invalidate=noop$3){const subscriber=[run2,invalidate];return subscribers.add(subscriber),subscribers.size===1&&(stop=start2(set2,update2)||noop$3),run2(value),()=>{subscribers.delete(subscriber),subscribers.size===0&&stop&&(stop(),stop=null)}}return{set:set2,update:update2,subscribe}}function get$3(store){let value;return subscribe_to_store(store,_=>value=_)(),value}let is_store_binding=!1,IS_UNMOUNTED=Symbol();function store_get(store,store_name,stores2){
+const entry=stores2[store_name]??={store:null,source:mutable_source(void 0),unsubscribe:noop$3};if(entry.store!==store&&!(IS_UNMOUNTED in stores2))if(entry.unsubscribe(),entry.store=store??null,store==null)entry.source.v=void 0,entry.unsubscribe=noop$3;else{var is_synchronous_callback=!0;entry.unsubscribe=subscribe_to_store(store,v=>{is_synchronous_callback?entry.source.v=v:set$1(entry.source,v)}),is_synchronous_callback=!1}return store&&IS_UNMOUNTED in stores2?get$3(store):get$4(entry.source)}function setup_stores(){
+const stores2={};function cleanup(){teardown(()=>{for(var store_name in stores2)stores2[store_name].unsubscribe();define_property(stores2,IS_UNMOUNTED,{enumerable:!1,value:!0})})}return[stores2,cleanup]}function capture_store_binding(fn){var previous_is_store_binding=is_store_binding;try{return is_store_binding=!1,[fn(),is_store_binding]}finally{is_store_binding=previous_is_store_binding}}const rest_props_handler={get(target2,key2){if(!target2.exclude.includes(key2))return target2.props[key2]},set(target2,key2){
+return!1},getOwnPropertyDescriptor(target2,key2){if(!target2.exclude.includes(key2)&&key2 in target2.props)return{enumerable:!0,configurable:!0,value:target2.props[key2]}},has(target2,key2){return target2.exclude.includes(key2)?!1:key2 in target2.props},ownKeys(target2){return Reflect.ownKeys(target2.props).filter(key2=>!target2.exclude.includes(key2))}};function rest_props(props,exclude,name){return new Proxy({props,exclude},rest_props_handler)}const spread_props_handler={get(target2,key2){let i=target2.
+props.length;for(;i--;){let p2=target2.props[i];if(is_function(p2)&&(p2=p2()),typeof p2=="object"&&p2!==null&&key2 in p2)return p2[key2]}},set(target2,key2,value){let i=target2.props.length;for(;i--;){let p2=target2.props[i];is_function(p2)&&(p2=p2());const desc=get_descriptor(p2,key2);if(desc&&desc.set)return desc.set(value),!0}return!1},getOwnPropertyDescriptor(target2,key2){let i=target2.props.length;for(;i--;){let p2=target2.props[i];if(is_function(p2)&&(p2=p2()),typeof p2=="object"&&p2!==null&&
+key2 in p2){const descriptor=get_descriptor(p2,key2);return descriptor&&!descriptor.configurable&&(descriptor.configurable=!0),descriptor}}},has(target2,key2){if(key2===STATE_SYMBOL||key2===LEGACY_PROPS)return!1;for(let p2 of target2.props)if(is_function(p2)&&(p2=p2()),p2!=null&&key2 in p2)return!0;return!1},ownKeys(target2){const keys2=[];for(let p2 of target2.props)if(is_function(p2)&&(p2=p2()),!!p2){for(const key2 in p2)keys2.includes(key2)||keys2.push(key2);for(const key2 of Object.getOwnPropertySymbols(
+p2))keys2.includes(key2)||keys2.push(key2)}return keys2}};function spread_props(...props){return new Proxy({props},spread_props_handler)}function prop(props,key2,flags2,fallback2){var runes=!legacy_mode_flag||(flags2&PROPS_IS_RUNES)!==0,bindable=(flags2&PROPS_IS_BINDABLE)!==0,lazy=(flags2&PROPS_IS_LAZY_INITIAL)!==0,fallback_value=fallback2,fallback_dirty=!0,get_fallback=()=>(fallback_dirty&&(fallback_dirty=!1,fallback_value=lazy?untrack$1(fallback2):fallback2),fallback_value),setter;if(bindable){
+var is_entry_props=STATE_SYMBOL in props||LEGACY_PROPS in props;setter=get_descriptor(props,key2)?.set??(is_entry_props&&key2 in props?v=>props[key2]=v:void 0)}var initial_value,is_store_sub=!1;bindable?[initial_value,is_store_sub]=capture_store_binding(()=>props[key2]):initial_value=props[key2],initial_value===void 0&&fallback2!==void 0&&(initial_value=get_fallback(),setter&&(runes&&props_invalid_value(),setter(initial_value)));var getter;if(runes?getter=()=>{var value=props[key2];return value===
+void 0?get_fallback():(fallback_dirty=!0,value)}:getter=()=>{var value=props[key2];return value!==void 0&&(fallback_value=void 0),value===void 0?fallback_value:value},runes&&(flags2&PROPS_IS_UPDATED)===0)return getter;if(setter){var legacy_parent=props.$$legacy;return function(value,mutation){return arguments.length>0?((!runes||!mutation||legacy_parent||is_store_sub)&&setter(mutation?getter():value),value):getter()}}var overridden=!1,d2=((flags2&PROPS_IS_IMMUTABLE)!==0?derived:derived_safe_equal)(
+()=>(overridden=!1,getter()));bindable&&get$4(d2);var parent_effect=active_effect;return function(value,mutation){if(arguments.length>0){const new_value=mutation?get$4(d2):runes&&bindable?proxy(value):value;return set$1(d2,new_value),overridden=!0,fallback_value!==void 0&&(fallback_value=new_value),value}return is_destroying_effect&&overridden||(parent_effect.f&DESTROYED)!==0?d2.v:get$4(d2)}}function asClassComponent(component2){return class extends Svelte4Component{constructor(options){super({component:component2,
+...options})}}}class Svelte4Component{#events;#instance;constructor(options){var sources=new Map,add_source=(key2,value)=>{var s2=mutable_source(value,!1,!1);return sources.set(key2,s2),s2};const props=new Proxy({...options.props||{},$$events:{}},{get(target2,prop2){return get$4(sources.get(prop2)??add_source(prop2,Reflect.get(target2,prop2)))},has(target2,prop2){return prop2===LEGACY_PROPS?!0:(get$4(sources.get(prop2)??add_source(prop2,Reflect.get(target2,prop2))),Reflect.has(target2,prop2))},set(target2,prop2,value){
+return set$1(sources.get(prop2)??add_source(prop2,value),value),Reflect.set(target2,prop2,value)}});this.#instance=(options.hydrate?hydrate:mount)(options.component,{target:options.target,anchor:options.anchor,props,context:options.context,intro:options.intro??!1,recover:options.recover}),(!options?.props?.$$host||options.sync===!1)&&flushSync(),this.#events=props.$$events;for(const key2 of Object.keys(this.#instance))key2==="$set"||key2==="$destroy"||key2==="$on"||define_property(this,key2,{get(){
+return this.#instance[key2]},set(value){this.#instance[key2]=value},enumerable:!0});this.#instance.$set=next2=>{Object.assign(props,next2)},this.#instance.$destroy=()=>{unmount(this.#instance)}}$set(props){this.#instance.$set(props)}$on(event2,callback){this.#events[event2]=this.#events[event2]||[];const cb=(...args)=>callback.call(this,...args);return this.#events[event2].push(cb),()=>{this.#events[event2]=this.#events[event2].filter(fn=>fn!==cb)}}$destroy(){this.#instance.$destroy()}}function hydratable(key2,fn){
+if(experimental_async_required(),hydrating){const store=window.__svelte?.h;if(store?.has(key2))return store.get(key2);hydratable_missing_but_expected()}return fn()}function getAbortSignal(){return active_reaction===null&&get_abort_signal_outside_reaction(),(active_reaction.ac??=new AbortController).signal}function onMount$1(fn){component_context===null&&lifecycle_outside_component(),legacy_mode_flag&&component_context.l!==null?init_update_callbacks(component_context).m.push(fn):user_effect(()=>{
+const cleanup=untrack$1(fn);if(typeof cleanup=="function")return cleanup})}function onDestroy(fn){component_context===null&&lifecycle_outside_component(),onMount$1(()=>()=>untrack$1(fn))}function create_custom_event(type2,detail,{bubbles=!1,cancelable=!1}={}){return new CustomEvent(type2,{detail,bubbles,cancelable})}function createEventDispatcher(){const active_component_context=component_context;return active_component_context===null&&lifecycle_outside_component(),(type2,detail,options)=>{const events=active_component_context.
+s.$$events?.[type2];if(events){const callbacks=is_array(events)?events.slice():[events],event2=create_custom_event(type2,detail,options);for(const fn of callbacks)fn.call(active_component_context.x,event2);return!event2.defaultPrevented}return!0}}function beforeUpdate(fn){component_context===null&&lifecycle_outside_component(),component_context.l===null&&lifecycle_legacy_only(),init_update_callbacks(component_context).b.push(fn)}function afterUpdate(fn){component_context===null&&lifecycle_outside_component(),
+component_context.l===null&&lifecycle_legacy_only(),init_update_callbacks(component_context).a.push(fn)}function init_update_callbacks(context){var l=context.l;return l.u??={a:[],b:[],m:[]}}const svelte=Object.freeze(Object.defineProperty({__proto__:null,afterUpdate,beforeUpdate,createContext,createEventDispatcher,createRawSnippet,flushSync,fork,getAbortSignal,getAllContexts,getContext,hasContext,hydratable,hydrate,mount,onDestroy,onMount:onMount$1,setContext,settled,tick,unmount,untrack:untrack$1},
+Symbol.toStringTag,{value:"Module"}));class HttpError{constructor(status,body2){this.status=status,typeof body2=="string"?this.body={message:body2}:body2?this.body=body2:this.body={message:`Error: ${status}`}}toString(){return JSON.stringify(this.body)}}class Redirect{constructor(status,location2){this.status=status,this.location=location2}}class SvelteKitError extends Error{constructor(status,text2,message){super(message),this.status=status,this.text=text2}}new URL("sveltekit-internal://");function normalize_path(path2,trailing_slash){
+return path2==="/"||trailing_slash==="ignore"?path2:trailing_slash==="never"?path2.endsWith("/")?path2.slice(0,-1):path2:trailing_slash==="always"&&!path2.endsWith("/")?path2+"/":path2}function decode_pathname(pathname){return pathname.split("%25").map(decodeURI).join("%25")}function decode_params(params){for(const key2 in params)params[key2]=decodeURIComponent(params[key2]);return params}function strip_hash({href}){return href.split("#")[0]}function make_trackable(url2,callback,search_params_callback,allow_hash=!1){
+const tracked=new URL(url2);Object.defineProperty(tracked,"searchParams",{value:new Proxy(tracked.searchParams,{get(obj,key2){if(key2==="get"||key2==="getAll"||key2==="has")return(param,...rest)=>(search_params_callback(param),obj[key2](param,...rest));callback();const value=Reflect.get(obj,key2);return typeof value=="function"?value.bind(obj):value}}),enumerable:!0,configurable:!0});const tracked_url_properties=["href","pathname","search","toString","toJSON"];allow_hash&&tracked_url_properties.
+push("hash");for(const property of tracked_url_properties)Object.defineProperty(tracked,property,{get(){return callback(),url2[property]},enumerable:!0,configurable:!0});return tracked}function hash$1(...values){let hash2=5381;for(const value of values)if(typeof value=="string"){let i=value.length;for(;i;)hash2=hash2*33^value.charCodeAt(--i)}else if(ArrayBuffer.isView(value)){const buffer=new Uint8Array(value.buffer,value.byteOffset,value.byteLength);let i=buffer.length;for(;i;)hash2=hash2*33^buffer[--i]}else
+throw new TypeError("value must be a string or TypedArray");return(hash2>>>0).toString(36)}new TextEncoder;new TextDecoder;function base64_decode(encoded){const binary=atob(encoded),bytes=new Uint8Array(binary.length);for(let i=0;i<binary.length;i++)bytes[i]=binary.charCodeAt(i);return bytes}const native_fetch=window.fetch;window.fetch=(input,init2)=>((input instanceof Request?input.method:init2?.method||"GET")!=="GET"&&cache.delete(build_selector(input)),native_fetch(input,init2));const cache=new Map;
+function initial_fetch(resource,opts){const selector=build_selector(resource,opts),script=document.querySelector(selector);if(script?.textContent){script.remove();let{body:body2,...init2}=JSON.parse(script.textContent);const ttl=script.getAttribute("data-ttl");return ttl&&cache.set(selector,{body:body2,init:init2,ttl:1e3*Number(ttl)}),script.getAttribute("data-b64")!==null&&(body2=base64_decode(body2)),Promise.resolve(new Response(body2,init2))}return window.fetch(resource,opts)}function subsequent_fetch(resource,resolved,opts){
+if(cache.size>0){const selector=build_selector(resource,opts),cached2=cache.get(selector);if(cached2){if(performance.now()<cached2.ttl&&["default","force-cache","only-if-cached",void 0].includes(opts?.cache))return new Response(cached2.body,cached2.init);cache.delete(selector)}}return window.fetch(resolved,opts)}function build_selector(resource,opts){let selector=`script[data-sveltekit-fetched][data-url=${JSON.stringify(resource instanceof Request?resource.url:resource)}]`;if(opts?.headers||opts?.
+body){const values=[];opts.headers&&values.push([...new Headers(opts.headers)].join(",")),opts.body&&(typeof opts.body=="string"||ArrayBuffer.isView(opts.body))&&values.push(opts.body),selector+=`[data-hash="${hash$1(...values)}"]`}return selector}const param_pattern=/^(\[)?(\.\.\.)?(\w+)(?:=(\w+))?(\])?$/;function parse_route_id(id2){const params=[];return{pattern:id2==="/"?/^\/$/:new RegExp(`^${get_route_segments(id2).map(segment=>{const rest_match=/^\[\.\.\.(\w+)(?:=(\w+))?\]$/.exec(segment);
+if(rest_match)return params.push({name:rest_match[1],matcher:rest_match[2],optional:!1,rest:!0,chained:!0}),"(?:/([^]*))?";const optional_match=/^\[\[(\w+)(?:=(\w+))?\]\]$/.exec(segment);if(optional_match)return params.push({name:optional_match[1],matcher:optional_match[2],optional:!0,rest:!1,chained:!0}),"(?:/([^/]+))?";if(!segment)return;const parts=segment.split(/\[(.+?)\](?!\])/);return"/"+parts.map((content2,i)=>{if(i%2){if(content2.startsWith("x+"))return escape$3(String.fromCharCode(parseInt(
+content2.slice(2),16)));if(content2.startsWith("u+"))return escape$3(String.fromCharCode(...content2.slice(2).split("-").map(code2=>parseInt(code2,16))));const match=param_pattern.exec(content2),[,is_optional,is_rest,name,matcher]=match;return params.push({name,matcher,optional:!!is_optional,rest:!!is_rest,chained:is_rest?i===1&&parts[0]==="":!1}),is_rest?"([^]*?)":is_optional?"([^/]*)?":"([^/]+?)"}return escape$3(content2)}).join("")}).join("")}/?$`),params}}function affects_path(segment){return segment!==
+""&&!/^\([^)]+\)$/.test(segment)}function get_route_segments(route){return route.slice(1).split("/").filter(affects_path)}function exec(match,params,matchers2){const result={},values=match.slice(1),values_needing_match=values.filter(value=>value!==void 0);let buffered=0;for(let i=0;i<params.length;i+=1){const param=params[i];let value=values[i-buffered];if(param.chained&&param.rest&&buffered&&(value=values.slice(i-buffered,i+1).filter(s2=>s2).join("/"),buffered=0),value===void 0)if(param.rest)value=
+"";else continue;if(!param.matcher||matchers2[param.matcher](value)){result[param.name]=value;const next_param=params[i+1],next_value=values[i+1];next_param&&!next_param.rest&&next_param.optional&&next_value&&param.chained&&(buffered=0),!next_param&&!next_value&&Object.keys(result).length===values_needing_match.length&&(buffered=0);continue}if(param.optional&&param.chained){buffered++;continue}return}if(!buffered)return result}function escape$3(str){return str.normalize().replace(/[[\]]/g,"\\$&").
+replace(/%/g,"%25").replace(/\//g,"%2[Ff]").replace(/\?/g,"%3[Ff]").replace(/#/g,"%23").replace(/[.*+?^${}()|\\]/g,"\\$&")}function parse$5({nodes:nodes2,server_loads:server_loads2,dictionary:dictionary2,matchers:matchers2}){const layouts_with_server_load=new Set(server_loads2);return Object.entries(dictionary2).map(([id2,[leaf2,layouts,errors2]])=>{const{pattern:pattern2,params}=parse_route_id(id2),route={id:id2,exec:path2=>{const match=pattern2.exec(path2);if(match)return exec(match,params,matchers2)},
+errors:[1,...errors2||[]].map(n=>nodes2[n]),layouts:[0,...layouts||[]].map(create_layout_loader),leaf:create_leaf_loader(leaf2)};return route.errors.length=route.layouts.length=Math.max(route.errors.length,route.layouts.length),route});function create_leaf_loader(id2){const uses_server_data=id2<0;return uses_server_data&&(id2=~id2),[uses_server_data,nodes2[id2]]}function create_layout_loader(id2){return id2===void 0?id2:[layouts_with_server_load.has(id2),nodes2[id2]]}}function get$2(key2,parse2=JSON.
+parse){try{return parse2(sessionStorage[key2])}catch{}}function set(key2,value,stringify2=JSON.stringify){const data=stringify2(value);try{sessionStorage[key2]=data}catch{}}const base=globalThis.__sveltekit__?.base??"",assets=globalThis.__sveltekit__?.assets??base??"",version$3="llama-server-webui",SNAPSHOT_KEY="sveltekit:snapshot",SCROLL_KEY="sveltekit:scroll",STATES_KEY="sveltekit:states",PAGE_URL_KEY="sveltekit:pageurl",HISTORY_INDEX="sveltekit:history",NAVIGATION_INDEX="sveltekit:n\
+avigation",PRELOAD_PRIORITIES={tap:1,hover:2,viewport:3,eager:4,off:-1,false:-1},origin=location.origin;function resolve_url(url2){if(url2 instanceof URL)return url2;let baseURI=document.baseURI;if(!baseURI){const baseTags=document.getElementsByTagName("base");baseURI=baseTags.length?baseTags[0].href:document.URL}return new URL(url2,baseURI)}function scroll_state(){return{x:pageXOffset,y:pageYOffset}}function link_option(element2,name){return element2.getAttribute(`data-sveltekit-${name}`)}const levels={
+...PRELOAD_PRIORITIES,"":PRELOAD_PRIORITIES.hover};function parent_element(element2){let parent=element2.assignedSlot??element2.parentNode;return parent?.nodeType===11&&(parent=parent.host),parent}function find_anchor(element2,target2){for(;element2&&element2!==target2;){if(element2.nodeName.toUpperCase()==="A"&&element2.hasAttribute("href"))return element2;element2=parent_element(element2)}}function get_link_info(a,base2,uses_hash_router){let url2;try{if(url2=new URL(a instanceof SVGAElement?a.
+href.baseVal:a.href,document.baseURI),uses_hash_router&&url2.hash.match(/^#[^/]/)){const route=location.hash.split("#")[1]||"/";url2.hash=`#${route}${url2.hash}`}}catch{}const target2=a instanceof SVGAElement?a.target.baseVal:a.target,external=!url2||!!target2||is_external_url(url2,base2,uses_hash_router)||(a.getAttribute("rel")||"").split(/\s+/).includes("external"),download=url2?.origin===origin&&a.hasAttribute("download");return{url:url2,external,target:target2,download}}function get_router_options(element2){
+let keepfocus=null,noscroll=null,preload_code=null,preload_data=null,reload=null,replace_state=null,el=element2;for(;el&&el!==document.documentElement;)preload_code===null&&(preload_code=link_option(el,"preload-code")),preload_data===null&&(preload_data=link_option(el,"preload-data")),keepfocus===null&&(keepfocus=link_option(el,"keepfocus")),noscroll===null&&(noscroll=link_option(el,"noscroll")),reload===null&&(reload=link_option(el,"reload")),replace_state===null&&(replace_state=link_option(el,
+"replacestate")),el=parent_element(el);function get_option_state(value){switch(value){case"":case"true":return!0;case"off":case"false":return!1;default:return}}return{preload_code:levels[preload_code??"off"],preload_data:levels[preload_data??"off"],keepfocus:get_option_state(keepfocus),noscroll:get_option_state(noscroll),reload:get_option_state(reload),replace_state:get_option_state(replace_state)}}function notifiable_store(value){const store=writable(value);let ready=!0;function notify(){ready=
+!0,store.update(val=>val)}function set2(new_value){ready=!1,store.set(new_value)}function subscribe(run2){let old_value;return store.subscribe(new_value=>{(old_value===void 0||ready&&new_value!==old_value)&&run2(old_value=new_value)})}return{notify,set:set2,subscribe}}const updated_listener={v:()=>{}};function create_updated_store(){const{set:set2,subscribe}=writable(!1);let timeout;async function check(){clearTimeout(timeout);try{const res=await fetch(`${assets}/_app/version.json`,{headers:{pragma:"\
+no-cache","cache-control":"no-cache"}});if(!res.ok)return!1;const updated2=(await res.json()).version!==version$3;return updated2&&(set2(!0),updated_listener.v(),clearTimeout(timeout)),updated2}catch{return!1}}return{subscribe,check}}function is_external_url(url2,base2,hash_routing){return url2.origin!==origin||!url2.pathname.startsWith(base2)?!0:hash_routing?url2.pathname!==location.pathname:!1}const valid_layout_exports=new Set(["load","prerender","csr","ssr","trailingSlash","config"]);[...valid_layout_exports];
+const valid_layout_server_exports=new Set([...valid_layout_exports]);[...valid_layout_server_exports];function compact(arr){return arr.filter(val=>val!=null)}function get_status(error2){return error2 instanceof HttpError||error2 instanceof SvelteKitError?error2.status:500}function get_message(error2){return error2 instanceof SvelteKitError?error2.text:"Internal Error"}let page$3,navigating,updated;const is_legacy=onMount$1.toString().includes("$$")||/function \w+\(\) \{\}/.test(onMount$1.toString());
+is_legacy?(page$3={data:{},form:null,error:null,params:{},route:{id:null},state:{},status:-1,url:new URL("https://example.com")},navigating={current:null},updated={current:!1}):(page$3=new class{#data=state$1({});get data(){return get$4(this.#data)}set data(value){set$1(this.#data,value)}#form=state$1(null);get form(){return get$4(this.#form)}set form(value){set$1(this.#form,value)}#error=state$1(null);get error(){return get$4(this.#error)}set error(value){set$1(this.#error,value)}#params=state$1(
+{});get params(){return get$4(this.#params)}set params(value){set$1(this.#params,value)}#route=state$1({id:null});get route(){return get$4(this.#route)}set route(value){set$1(this.#route,value)}#state=state$1({});get state(){return get$4(this.#state)}set state(value){set$1(this.#state,value)}#status=state$1(-1);get status(){return get$4(this.#status)}set status(value){set$1(this.#status,value)}#url=state$1(new URL("https://example.com"));get url(){return get$4(this.#url)}set url(value){set$1(this.#url,
+value)}},navigating=new class{#current=state$1(null);get current(){return get$4(this.#current)}set current(value){set$1(this.#current,value)}},updated=new class{#current=state$1(!1);get current(){return get$4(this.#current)}set current(value){set$1(this.#current,value)}},updated_listener.v=()=>updated.current=!0);function update(new_page){Object.assign(page$3,new_page)}const noop_span={spanContext(){return noop_span_context},setAttribute(){return this},setAttributes(){return this},addEvent(){return this},
+setStatus(){return this},updateName(){return this},end(){return this},isRecording(){return!1},recordException(){return this},addLink(){return this},addLinks(){return this}},noop_span_context={traceId:"",spanId:"",traceFlags:0},{onMount}=svelte,untrack=untrack$1??(value=>value()),ICON_REL_ATTRIBUTES=new Set(["icon","shortcut icon","apple-touch-icon"]),scroll_positions=get$2(SCROLL_KEY)??{},snapshots=get$2(SNAPSHOT_KEY)??{},stores={url:notifiable_store({}),page:notifiable_store({}),navigating:writable(
+null),updated:create_updated_store()};function update_scroll_positions(index2){scroll_positions[index2]=scroll_state()}function clear_onward_history(current_history_index2,current_navigation_index2){let i=current_history_index2+1;for(;scroll_positions[i];)delete scroll_positions[i],i+=1;for(i=current_navigation_index2+1;snapshots[i];)delete snapshots[i],i+=1}function native_navigation(url2,replace2=!1){return replace2?location.replace(url2.href):location.href=url2.href,new Promise(()=>{})}async function update_service_worker(){
+if("serviceWorker"in navigator){const registration=await navigator.serviceWorker.getRegistration(base||"/");registration&&await registration.update()}}function noop$2(){}let routes,default_layout_loader,default_error_loader,container,target,app$1;const invalidated=[],components=[];let load_cache=null;function discard_load_cache(){load_cache?.fork?.then(f=>f?.discard()),load_cache=null}const reroute_cache=new Map,before_navigate_callbacks=new Set,on_navigate_callbacks=new Set,after_navigate_callbacks=new Set;
+let current={branch:[],error:null,url:null},hydrated=!1,started=!1,autoscroll=!0,is_navigating=!1,hash_navigating=!1,has_navigated=!1,force_invalidation=!1,root$1O,current_history_index,current_navigation_index,token;const preload_tokens=new Set,query_map=new Map;async function start$1(_app,_target,hydrate2){globalThis.__sveltekit__?.data&&globalThis.__sveltekit__.data,document.URL!==location.href&&(location.href=location.href),app$1=_app,await _app.hooks.init?.(),routes=parse$5(_app),
+container=document.documentElement,target=_target,default_layout_loader=_app.nodes[0],default_error_loader=_app.nodes[1],default_layout_loader(),default_error_loader(),current_history_index=history.state?.[HISTORY_INDEX],current_navigation_index=history.state?.[NAVIGATION_INDEX],current_history_index||(current_history_index=current_navigation_index=Date.now(),history.replaceState({...history.state,[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index},""));const scroll=scroll_positions[current_history_index];
+function restore_scroll(){scroll&&(history.scrollRestoration="manual",scrollTo(scroll.x,scroll.y))}hydrate2?(restore_scroll(),await _hydrate(target,hydrate2)):(await navigate({type:"enter",url:resolve_url(app$1.hash?decode_hash(new URL(location.href)):location.href),replace_state:!0}),restore_scroll()),_start_router()}function reset_invalidation(){invalidated.length=0,force_invalidation=!1}function capture_snapshot(index2){components.some(c2=>c2?.snapshot)&&(snapshots[index2]=components.map(c2=>c2?.
+snapshot?.capture()))}function restore_snapshot(index2){snapshots[index2]?.forEach((value,i)=>{components[i]?.snapshot?.restore(value)})}function persist_state(){update_scroll_positions(current_history_index),set(SCROLL_KEY,scroll_positions),capture_snapshot(current_navigation_index),set(SNAPSHOT_KEY,snapshots)}async function _goto(url2,options,redirect_count,nav_token){let query_keys;options.invalidateAll&&discard_load_cache(),await navigate({type:"goto",url:resolve_url(url2),keepfocus:options.
+keepFocus,noscroll:options.noScroll,replace_state:options.replaceState,state:options.state,redirect_count,nav_token,accept:()=>{options.invalidateAll&&(force_invalidation=!0,query_keys=[...query_map.keys()]),options.invalidate&&options.invalidate.forEach(push_invalidated)}}),options.invalidateAll&&tick().then(tick).then(()=>{query_map.forEach(({resource},key2)=>{query_keys?.includes(key2)&&resource.refresh?.()})})}async function _preload_data(intent){if(intent.id!==load_cache?.id){discard_load_cache();
+const preload2={};preload_tokens.add(preload2),load_cache={id:intent.id,token:preload2,promise:load_route({...intent,preload:preload2}).then(result=>(preload_tokens.delete(preload2),result.type==="loaded"&&result.state.error&&discard_load_cache(),result)),fork:null}}return load_cache.promise}async function _preload_code(url2){const route=(await get_navigation_intent(url2,!1))?.route;route&&await Promise.all([...route.layouts,route.leaf].map(load2=>load2?.[1]()))}async function initialize(result,target2,hydrate2){
+current=result.state;const style2=document.querySelector("style[data-sveltekit]");if(style2&&style2.remove(),Object.assign(page$3,result.props.page),root$1O=new app$1.root({target:target2,props:{...result.props,stores,components},hydrate:hydrate2,sync:!1}),await Promise.resolve(),restore_snapshot(current_navigation_index),hydrate2){const navigation={from:null,to:{params:current.params,route:{id:current.route?.id??null},url:new URL(location.href)},willUnload:!1,type:"enter",complete:Promise.resolve()};
+after_navigate_callbacks.forEach(fn=>fn(navigation))}started=!0}function get_navigation_result_from_branch({url:url2,params,branch:branch2,status,error:error2,route,form}){let slash="never";if(base&&(url2.pathname===base||url2.pathname===base+"/"))slash="always";else for(const node2 of branch2)node2?.slash!==void 0&&(slash=node2.slash);url2.pathname=normalize_path(url2.pathname,slash),url2.search=url2.search;const result={type:"loaded",state:{url:url2,params,branch:branch2,error:error2,route},props:{
+constructors:compact(branch2).map(branch_node=>branch_node.node.component),page:clone_page(page$3)}};form!==void 0&&(result.props.form=form);let data={},data_changed=!page$3,p2=0;for(let i=0;i<Math.max(branch2.length,current.branch.length);i+=1){const node2=branch2[i],prev2=current.branch[i];node2?.data!==prev2?.data&&(data_changed=!0),node2&&(data={...data,...node2.data},data_changed&&(result.props[`data_${p2}`]=data),p2+=1)}return(!current.url||url2.href!==current.url.href||current.error!==error2||
+form!==void 0&&form!==page$3.form||data_changed)&&(result.props.page={error:error2,params,route:{id:route?.id??null},state:{},status,url:new URL(url2),form:form??null,data:data_changed?data:page$3.data}),result}async function load_node({loader,parent,url:url2,params,route,server_data_node}){let data=null,is_tracking=!0;const uses={dependencies:new Set,params:new Set,parent:!1,route:!1,url:!1,search_params:new Set},node2=await loader();if(node2.universal?.load){let depends=function(...deps){for(const dep of deps){
+const{href}=new URL(dep,url2);uses.dependencies.add(href)}};const load_input={tracing:{enabled:!1,root:noop_span,current:noop_span},route:new Proxy(route,{get:(target2,key2)=>(is_tracking&&(uses.route=!0),target2[key2])}),params:new Proxy(params,{get:(target2,key2)=>(is_tracking&&uses.params.add(key2),target2[key2])}),data:server_data_node?.data??null,url:make_trackable(url2,()=>{is_tracking&&(uses.url=!0)},param=>{is_tracking&&uses.search_params.add(param)},app$1.hash),async fetch(resource,init2){
+resource instanceof Request&&(init2={body:resource.method==="GET"||resource.method==="HEAD"?void 0:await resource.blob(),cache:resource.cache,credentials:resource.credentials,headers:[...resource.headers].length>0?resource?.headers:void 0,integrity:resource.integrity,keepalive:resource.keepalive,method:resource.method,mode:resource.mode,redirect:resource.redirect,referrer:resource.referrer,referrerPolicy:resource.referrerPolicy,signal:resource.signal,...init2});const{resolved,promise}=resolve_fetch_url(
+resource,init2,url2);return is_tracking&&depends(resolved.href),promise},setHeaders:()=>{},depends,parent(){return is_tracking&&(uses.parent=!0),parent()},untrack(fn){is_tracking=!1;try{return fn()}finally{is_tracking=!0}}};data=await node2.universal.load.call(null,load_input)??null}return{node:node2,loader,server:server_data_node,universal:node2.universal?.load?{type:"data",data,uses}:null,data:data??server_data_node?.data??null,slash:node2.universal?.trailingSlash??server_data_node?.slash}}function resolve_fetch_url(input,init2,url2){
+let requested=input instanceof Request?input.url:input;const resolved=new URL(requested,url2);resolved.origin===url2.origin&&(requested=resolved.href.slice(url2.origin.length));const promise=started?subsequent_fetch(requested,resolved.href,init2):initial_fetch(requested,init2);return{resolved,promise}}function has_changed(parent_changed,route_changed,url_changed,search_params_changed,uses,params){if(force_invalidation)return!0;if(!uses)return!1;if(uses.parent&&parent_changed||uses.route&&route_changed||
+uses.url&&url_changed)return!0;for(const tracked_params of uses.search_params)if(search_params_changed.has(tracked_params))return!0;for(const param of uses.params)if(params[param]!==current.params[param])return!0;for(const href of uses.dependencies)if(invalidated.some(fn=>fn(new URL(href))))return!0;return!1}function create_data_node(node2,previous2){return node2?.type==="data"?node2:node2?.type==="skip"?previous2??null:null}function diff_search_params(old_url,new_url){if(!old_url)return new Set(
+new_url.searchParams.keys());const changed=new Set([...old_url.searchParams.keys(),...new_url.searchParams.keys()]);for(const key2 of changed){const old_values2=old_url.searchParams.getAll(key2),new_values=new_url.searchParams.getAll(key2);old_values2.every(value=>new_values.includes(value))&&new_values.every(value=>old_values2.includes(value))&&changed.delete(key2)}return changed}function preload_error({error:error2,url:url2,route,params}){return{type:"loaded",state:{error:error2,url:url2,route,
+params,branch:[]},props:{page:clone_page(page$3),constructors:[]}}}async function load_route({id:id2,invalidating,url:url2,params,route,preload:preload2}){if(load_cache?.id===id2)return preload_tokens.delete(load_cache.token),load_cache.promise;const{errors:errors2,layouts,leaf:leaf2}=route,loaders=[...layouts,leaf2];errors2.forEach(loader=>loader?.().catch(()=>{})),loaders.forEach(loader=>loader?.[1]().catch(()=>{}));const url_changed=current.url?id2!==get_page_key(current.url):!1,route_changed=current.
+route?route.id!==current.route.id:!1,search_params_changed=diff_search_params(current.url,url2);let parent_changed=!1;const branch_promises=loaders.map(async(loader,i)=>{if(!loader)return;const previous2=current.branch[i];return loader[1]===previous2?.loader&&!has_changed(parent_changed,route_changed,url_changed,search_params_changed,previous2.universal?.uses,params)?previous2:(parent_changed=!0,load_node({loader:loader[1],url:url2,params,route,parent:async()=>{const data={};for(let j=0;j<i;j+=1)
+Object.assign(data,(await branch_promises[j])?.data);return data},server_data_node:create_data_node(loader[0]?{type:"skip"}:null,loader[0]?previous2?.server:void 0)}))});for(const p2 of branch_promises)p2.catch(()=>{});const branch2=[];for(let i=0;i<loaders.length;i+=1)if(loaders[i])try{branch2.push(await branch_promises[i])}catch(err){if(err instanceof Redirect)return{type:"redirect",location:err.location};if(preload_tokens.has(preload2))return preload_error({error:await handle_error(err,{params,
+url:url2,route:{id:route.id}}),url:url2,params,route});let status=get_status(err),error2;if(err instanceof HttpError)error2=err.body;else{if(await stores.updated.check())return await update_service_worker(),await native_navigation(url2);error2=await handle_error(err,{params,url:url2,route:{id:route.id}})}const error_load=await load_nearest_error_page(i,branch2,errors2);return error_load?get_navigation_result_from_branch({url:url2,params,branch:branch2.slice(0,error_load.idx).concat(error_load.node),
+status,error:error2,route}):await server_fallback(url2,{id:route.id},error2,status)}else branch2.push(void 0);return get_navigation_result_from_branch({url:url2,params,branch:branch2,status:200,error:null,route,form:invalidating?void 0:null})}async function load_nearest_error_page(i,branch2,errors2){for(;i--;)if(errors2[i]){let j=i;for(;!branch2[j];)j-=1;try{return{idx:j+1,node:{node:await errors2[i](),loader:errors2[i],data:{},server:null,universal:null}}}catch{continue}}}async function load_root_error_page({
+status,error:error2,url:url2,route}){const params={};let server_data_node=null;try{const root_layout=await load_node({loader:default_layout_loader,url:url2,params,route,parent:()=>Promise.resolve({}),server_data_node:create_data_node(server_data_node)}),root_error={node:await default_error_loader(),loader:default_error_loader,universal:null,server:null,data:null};return get_navigation_result_from_branch({url:url2,params,branch:[root_layout,root_error],status,error:error2,route:null})}catch(error22){
+if(error22 instanceof Redirect)return _goto(new URL(error22.location,location.href),{},0);throw error22}}async function get_rerouted_url(url2){const href=url2.href;if(reroute_cache.has(href))return reroute_cache.get(href);let rerouted;try{const promise=(async()=>{let rerouted2=await app$1.hooks.reroute({url:new URL(url2),fetch:async(input,init2)=>resolve_fetch_url(input,init2,url2).promise})??url2;if(typeof rerouted2=="string"){const tmp=new URL(url2);app$1.hash?tmp.hash=rerouted2:tmp.pathname=rerouted2,
+rerouted2=tmp}return rerouted2})();reroute_cache.set(href,promise),rerouted=await promise}catch{reroute_cache.delete(href);return}return rerouted}async function get_navigation_intent(url2,invalidating){if(url2&&!is_external_url(url2,base,app$1.hash)){const rerouted=await get_rerouted_url(url2);if(!rerouted)return;const path2=get_url_path(rerouted);for(const route of routes){const params=route.exec(path2);if(params)return{id:get_page_key(url2),invalidating,route,params:decode_params(params),url:url2}}}}
+function get_url_path(url2){return decode_pathname(app$1.hash?url2.hash.replace(/^#/,"").replace(/[?#].+/,""):url2.pathname.slice(base.length))||"/"}function get_page_key(url2){return(app$1.hash?url2.hash.replace(/^#/,""):url2.pathname)+url2.search}function _before_navigate({url:url2,type:type2,intent,delta,event:event2}){let should_block=!1;const nav=create_navigation(current,intent,url2,type2);delta!==void 0&&(nav.navigation.delta=delta),event2!==void 0&&(nav.navigation.event=event2);const cancellable={
+...nav.navigation,cancel:()=>{should_block=!0,nav.reject(new Error("navigation cancelled"))}};return is_navigating||before_navigate_callbacks.forEach(fn=>fn(cancellable)),should_block?null:nav}async function navigate({type:type2,url:url2,popped,keepfocus,noscroll,replace_state,state:state2={},redirect_count=0,nav_token={},accept=noop$2,block:block2=noop$2,event:event2}){const prev_token=token;token=nav_token;const intent=await get_navigation_intent(url2,!1),nav=type2==="enter"?create_navigation(
+current,intent,url2,type2):_before_navigate({url:url2,type:type2,delta:popped?.delta,intent,event:event2});if(!nav){block2(),token===nav_token&&(token=prev_token);return}const previous_history_index=current_history_index,previous_navigation_index=current_navigation_index;accept(),is_navigating=!0,started&&nav.navigation.type!=="enter"&&stores.navigating.set(navigating.current=nav.navigation);let navigation_result=intent&&await load_route(intent);if(!navigation_result){if(is_external_url(url2,base,
+app$1.hash))return await native_navigation(url2,replace_state);navigation_result=await server_fallback(url2,{id:null},await handle_error(new SvelteKitError(404,"Not Found",`Not found: ${url2.pathname}`),{url:url2,params:{},route:{id:null}}),404,replace_state)}if(url2=intent?.url||url2,token!==nav_token)return nav.reject(new Error("navigation aborted")),!1;if(navigation_result.type==="redirect"){if(redirect_count<20){await navigate({type:type2,url:new URL(navigation_result.location,url2),popped,keepfocus,
+noscroll,replace_state,state:state2,redirect_count:redirect_count+1,nav_token}),nav.fulfil(void 0);return}navigation_result=await load_root_error_page({status:500,error:await handle_error(new Error("Redirect loop"),{url:url2,params:{},route:{id:null}}),url:url2,route:{id:null}})}else navigation_result.props.page.status>=400&&await stores.updated.check()&&(await update_service_worker(),await native_navigation(url2,replace_state));if(reset_invalidation(),update_scroll_positions(previous_history_index),
+capture_snapshot(previous_navigation_index),navigation_result.props.page.url.pathname!==url2.pathname&&(url2.pathname=navigation_result.props.page.url.pathname),state2=popped?popped.state:state2,!popped){const change=replace_state?0:1,entry={[HISTORY_INDEX]:current_history_index+=change,[NAVIGATION_INDEX]:current_navigation_index+=change,[STATES_KEY]:state2};(replace_state?history.replaceState:history.pushState).call(history,entry,"",url2),replace_state||clear_onward_history(current_history_index,
+current_navigation_index)}const load_cache_fork=intent&&load_cache?.id===intent.id?load_cache.fork:null;load_cache=null,navigation_result.props.page.state=state2;let commit_promise;if(started){const after_navigate=(await Promise.all(Array.from(on_navigate_callbacks,fn=>fn(nav.navigation)))).filter(value=>typeof value=="function");if(after_navigate.length>0){let cleanup=function(){after_navigate.forEach(fn=>{after_navigate_callbacks.delete(fn)})};after_navigate.push(cleanup),after_navigate.forEach(
+fn=>{after_navigate_callbacks.add(fn)})}current=navigation_result.state,navigation_result.props.page&&(navigation_result.props.page.url=url2);const fork2=load_cache_fork&&await load_cache_fork;fork2?commit_promise=fork2.commit():(root$1O.$set(navigation_result.props),update(navigation_result.props.page),commit_promise=settled?.()),has_navigated=!0}else await initialize(navigation_result,target,!1);const{activeElement}=document;await commit_promise,await tick(),await tick();let scroll=popped?popped.
+scroll:noscroll?scroll_state():null;if(autoscroll){const deep_linked=url2.hash&&document.getElementById(get_id(url2));if(scroll)scrollTo(scroll.x,scroll.y);else if(deep_linked){deep_linked.scrollIntoView();const{top,left}=deep_linked.getBoundingClientRect();scroll={x:pageXOffset+left,y:pageYOffset+top}}else scrollTo(0,0)}const changed_focus=document.activeElement!==activeElement&&document.activeElement!==document.body;!keepfocus&&!changed_focus&&reset_focus(url2,scroll),autoscroll=!0,navigation_result.
+props.page&&Object.assign(page$3,navigation_result.props.page),is_navigating=!1,type2==="popstate"&&restore_snapshot(current_navigation_index),nav.fulfil(void 0),after_navigate_callbacks.forEach(fn=>fn(nav.navigation)),stores.navigating.set(navigating.current=null)}async function server_fallback(url2,route,error2,status,replace_state){return url2.origin===origin&&url2.pathname===location.pathname&&!hydrated?await load_root_error_page({status,error:error2,url:url2,route}):await native_navigation(
+url2,replace_state)}function setup_preload(){let mousemove_timeout,current_a={element:void 0,href:void 0},current_priority;container.addEventListener("mousemove",event2=>{const target2=event2.target;clearTimeout(mousemove_timeout),mousemove_timeout=setTimeout(()=>{preload2(target2,PRELOAD_PRIORITIES.hover)},20)});function tap2(event2){event2.defaultPrevented||preload2(event2.composedPath()[0],PRELOAD_PRIORITIES.tap)}container.addEventListener("mousedown",tap2),container.addEventListener("touchst\
+art",tap2,{passive:!0});const observer=new IntersectionObserver(entries=>{for(const entry of entries)entry.isIntersecting&&(_preload_code(new URL(entry.target.href)),observer.unobserve(entry.target))},{threshold:0});async function preload2(element2,priority){const a=find_anchor(element2,container),interacted=a===current_a.element&&a?.href===current_a.href&&priority>=current_priority;if(!a||interacted)return;const{url:url2,external,download}=get_link_info(a,base,app$1.hash);if(external||download)
+return;const options=get_router_options(a),same_url=url2&&get_page_key(current.url)===get_page_key(url2);if(!(options.reload||same_url))if(priority<=options.preload_data){current_a={element:a,href:a.href},current_priority=PRELOAD_PRIORITIES.tap;const intent=await get_navigation_intent(url2,!1);if(!intent)return;_preload_data(intent)}else priority<=options.preload_code&&(current_a={element:a,href:a.href},current_priority=priority,_preload_code(url2))}function after_navigate(){observer.disconnect();
+for(const a of container.querySelectorAll("a")){const{url:url2,external,download}=get_link_info(a,base,app$1.hash);if(external||download)continue;const options=get_router_options(a);options.reload||(options.preload_code===PRELOAD_PRIORITIES.viewport&&observer.observe(a),options.preload_code===PRELOAD_PRIORITIES.eager&&_preload_code(url2))}}after_navigate_callbacks.add(after_navigate),after_navigate()}function handle_error(error2,event2){if(error2 instanceof HttpError)return error2.body;const status=get_status(
+error2),message=get_message(error2);return app$1.hooks.handleError({error:error2,event:event2,status,message})??{message}}function add_navigation_callback(callbacks,callback){onMount(()=>(callbacks.add(callback),()=>{callbacks.delete(callback)}))}function afterNavigate(callback){add_navigation_callback(after_navigate_callbacks,callback)}function goto(url2,opts={}){return url2=new URL(resolve_url(url2)),url2.origin!==origin?Promise.reject(new Error("goto: invalid URL")):_goto(url2,opts,0)}function push_invalidated(resource){
+if(typeof resource=="function")invalidated.push(resource);else{const{href}=new URL(resource,location.href);invalidated.push(url2=>url2.href===href)}}function replaceState(url2,state2){const opts={[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index,[PAGE_URL_KEY]:page$3.url.href,[STATES_KEY]:state2};history.replaceState(opts,"",resolve_url(url2)),page$3.state=state2,root$1O.$set({page:untrack(()=>clone_page(page$3))})}function _start_router(){history.scrollRestoration=
+"manual",addEventListener("beforeunload",e=>{let should_block=!1;if(persist_state(),!is_navigating){const nav=create_navigation(current,void 0,null,"leave"),navigation={...nav.navigation,cancel:()=>{should_block=!0,nav.reject(new Error("navigation cancelled"))}};before_navigate_callbacks.forEach(fn=>fn(navigation))}should_block?(e.preventDefault(),e.returnValue=""):history.scrollRestoration="auto"}),addEventListener("visibilitychange",()=>{document.visibilityState==="hidden"&&persist_state()}),navigator.
+connection?.saveData||setup_preload(),container.addEventListener("click",async event2=>{if(event2.button||event2.which!==1||event2.metaKey||event2.ctrlKey||event2.shiftKey||event2.altKey||event2.defaultPrevented)return;const a=find_anchor(event2.composedPath()[0],container);if(!a)return;const{url:url2,external,target:target2,download}=get_link_info(a,base,app$1.hash);if(!url2)return;if(target2==="_parent"||target2==="_top"){if(window.parent!==window)return}else if(target2&&target2!=="_self")return;
+const options=get_router_options(a);if(!(a instanceof SVGAElement)&&url2.protocol!==location.protocol&&!(url2.protocol==="https:"||url2.protocol==="http:")||download)return;const[nonhash,hash2]=(app$1.hash?url2.hash.replace(/^#/,""):url2.href).split("#"),same_pathname=nonhash===strip_hash(location);if(external||options.reload&&(!same_pathname||!hash2)){_before_navigate({url:url2,type:"link",event:event2})?is_navigating=!0:event2.preventDefault();return}if(hash2!==void 0&&same_pathname){const[,current_hash]=current.
+url.href.split("#");if(current_hash===hash2){if(event2.preventDefault(),hash2===""||hash2==="top"&&a.ownerDocument.getElementById("top")===null)scrollTo({top:0});else{const element2=a.ownerDocument.getElementById(decodeURIComponent(hash2));element2&&(element2.scrollIntoView(),element2.focus())}return}if(hash_navigating=!0,update_scroll_positions(current_history_index),update_url(url2),!options.replace_state)return;hash_navigating=!1}event2.preventDefault(),await new Promise(fulfil=>{requestAnimationFrame(
+()=>{setTimeout(fulfil,0)}),setTimeout(fulfil,100)}),await navigate({type:"link",url:url2,keepfocus:options.keepfocus,noscroll:options.noscroll,replace_state:options.replace_state??url2.href===location.href,event:event2})}),container.addEventListener("submit",event2=>{if(event2.defaultPrevented)return;const form=HTMLFormElement.prototype.cloneNode.call(event2.target),submitter=event2.submitter;if((submitter?.formTarget||form.target)==="_blank"||(submitter?.formMethod||form.method)!=="get")return;
+const url2=new URL(submitter?.hasAttribute("formaction")&&submitter?.formAction||form.action);if(is_external_url(url2,base,!1))return;const event_form=event2.target,options=get_router_options(event_form);if(options.reload)return;event2.preventDefault(),event2.stopPropagation();const data=new FormData(event_form,submitter);url2.search=new URLSearchParams(data).toString(),navigate({type:"form",url:url2,keepfocus:options.keepfocus,noscroll:options.noscroll,replace_state:options.replace_state??url2.
+href===location.href,event:event2})}),addEventListener("popstate",async event2=>{if(!resetting_focus){if(event2.state?.[HISTORY_INDEX]){const history_index=event2.state[HISTORY_INDEX];if(token={},history_index===current_history_index)return;const scroll=scroll_positions[history_index],state2=event2.state[STATES_KEY]??{},url2=new URL(event2.state[PAGE_URL_KEY]??location.href),navigation_index=event2.state[NAVIGATION_INDEX],is_hash_change=current.url?strip_hash(location)===strip_hash(current.url):
+!1;if(navigation_index===current_navigation_index&&(has_navigated||is_hash_change)){state2!==page$3.state&&(page$3.state=state2),update_url(url2),scroll_positions[current_history_index]=scroll_state(),scroll&&scrollTo(scroll.x,scroll.y),current_history_index=history_index;return}const delta=history_index-current_history_index;await navigate({type:"popstate",url:url2,popped:{state:state2,scroll,delta},accept:()=>{current_history_index=history_index,current_navigation_index=navigation_index},block:()=>{
+history.go(-delta)},nav_token:token,event:event2})}else if(!hash_navigating){const url2=new URL(location.href);update_url(url2),app$1.hash&&location.reload()}}}),addEventListener("hashchange",()=>{hash_navigating&&(hash_navigating=!1,history.replaceState({...history.state,[HISTORY_INDEX]:++current_history_index,[NAVIGATION_INDEX]:current_navigation_index},"",location.href))});for(const link2 of document.querySelectorAll("link"))ICON_REL_ATTRIBUTES.has(link2.rel)&&(link2.href=link2.href);addEventListener(
+"pageshow",event2=>{event2.persisted&&stores.navigating.set(navigating.current=null)});function update_url(url2){current.url=page$3.url=url2,stores.page.set(clone_page(page$3)),stores.page.notify()}}async function _hydrate(target2,{status=200,error:error2,node_ids,params,route,server_route,data:server_data_nodes,form}){hydrated=!0;const url2=new URL(location.href);let parsed_route;({params={},route={id:null}}=await get_navigation_intent(url2,!1)||{}),parsed_route=routes.find(({id:id2})=>id2===route.
+id);let result,hydrate2=!0;try{const branch_promises=node_ids.map(async(n,i)=>{const server_data_node=server_data_nodes[i];return server_data_node?.uses&&(server_data_node.uses=deserialize_uses(server_data_node.uses)),load_node({loader:app$1.nodes[n],url:url2,params,route,parent:async()=>{const data={};for(let j=0;j<i;j+=1)Object.assign(data,(await branch_promises[j]).data);return data},server_data_node:create_data_node(server_data_node)})}),branch2=await Promise.all(branch_promises);if(parsed_route){
+const layouts=parsed_route.layouts;for(let i=0;i<layouts.length;i++)layouts[i]||branch2.splice(i,0,void 0)}result=get_navigation_result_from_branch({url:url2,params,branch:branch2,status,error:error2,form,route:parsed_route??null})}catch(error22){if(error22 instanceof Redirect){await native_navigation(new URL(error22.location,location.href));return}result=await load_root_error_page({status:get_status(error22),error:await handle_error(error22,{url:url2,params,route}),url:url2,route}),target2.textContent=
+"",hydrate2=!1}result.props.page&&(result.props.page.state={}),await initialize(result,target2,hydrate2)}function deserialize_uses(uses){return{dependencies:new Set(uses?.dependencies??[]),params:new Set(uses?.params??[]),parent:!!uses?.parent,route:!!uses?.route,url:!!uses?.url,search_params:new Set(uses?.search_params??[])}}let resetting_focus=!1;function reset_focus(url2,scroll=null){const autofocus2=document.querySelector("[autofocus]");if(autofocus2)autofocus2.focus();else{const id2=get_id(
+url2);if(id2&&document.getElementById(id2)){const{x,y}=scroll??scroll_state();setTimeout(()=>{const history_state=history.state;resetting_focus=!0,location.replace(`#${id2}`),app$1.hash&&location.replace(url2.hash),history.replaceState(history_state,"",url2.hash),scrollTo(x,y),resetting_focus=!1})}else{const root2=document.body,tabindex=root2.getAttribute("tabindex");root2.tabIndex=-1,root2.focus({preventScroll:!0,focusVisible:!1}),tabindex!==null?root2.setAttribute("tabindex",tabindex):root2.removeAttribute(
+"tabindex")}const selection=getSelection();if(selection&&selection.type!=="None"){const ranges=[];for(let i=0;i<selection.rangeCount;i+=1)ranges.push(selection.getRangeAt(i));setTimeout(()=>{if(selection.rangeCount===ranges.length){for(let i=0;i<selection.rangeCount;i+=1){const a=ranges[i],b=selection.getRangeAt(i);if(a.commonAncestorContainer!==b.commonAncestorContainer||a.startContainer!==b.startContainer||a.endContainer!==b.endContainer||a.startOffset!==b.startOffset||a.endOffset!==b.endOffset)
+return}selection.removeAllRanges()}})}}}function create_navigation(current2,intent,url2,type2){let fulfil,reject;const complete=new Promise((f,r2)=>{fulfil=f,reject=r2});return complete.catch(()=>{}),{navigation:{from:{params:current2.params,route:{id:current2.route?.id??null},url:current2.url},to:url2&&{params:intent?.params??null,route:{id:intent?.route?.id??null},url:url2},willUnload:!intent,type:type2,complete},fulfil,reject}}function clone_page(page2){return{data:page2.data,error:page2.error,
+form:page2.form,params:page2.params,route:page2.route,state:page2.state,status:page2.status,url:page2.url}}function decode_hash(url2){const new_url=new URL(url2);return new_url.hash=decodeURIComponent(url2.hash),new_url}function get_id(url2){let id2;if(app$1.hash){const[,,second]=url2.hash.split("#",3);id2=second??""}else id2=url2.hash.slice(1);return decodeURIComponent(id2)}const scriptRel="modulepreload",assetsURL=function(dep,importerUrl){return new URL(dep,importerUrl).href},seen={},__vitePreload=function(baseModule,deps,importerUrl){
+let promise=Promise.resolve();if(deps&&deps.length>0){let allSettled=function(promises$2){return Promise.all(promises$2.map(p2=>Promise.resolve(p2).then(value$1=>({status:"fulfilled",value:value$1}),reason=>({status:"rejected",reason}))))};const links=document.getElementsByTagName("link"),cspNonceMeta=document.querySelector("meta[property=csp-nonce]"),cspNonce=cspNonceMeta?.nonce||cspNonceMeta?.getAttribute("nonce");promise=allSettled(deps.map(dep=>{if(dep=assetsURL(dep,importerUrl),dep in seen)
+return;seen[dep]=!0;const isCss=dep.endsWith(".css"),cssSelector=isCss?'[rel="stylesheet"]':"";if(importerUrl)for(let i$1=links.length-1;i$1>=0;i$1--){const link$12=links[i$1];if(link$12.href===dep&&(!isCss||link$12.rel==="stylesheet"))return}else if(document.querySelector(`link[href="${dep}"]${cssSelector}`))return;const link2=document.createElement("link");if(link2.rel=isCss?"stylesheet":scriptRel,isCss||(link2.as="script"),link2.crossOrigin="",link2.href=dep,cspNonce&&link2.setAttribute("nonc\
+e",cspNonce),document.head.appendChild(link2),isCss)return new Promise((res,rej)=>{link2.addEventListener("load",res),link2.addEventListener("error",()=>rej(new Error(`Unable to preload CSS for ${dep}`)))})}))}function handlePreloadError(err$2){const e$1=new Event("vite:preloadError",{cancelable:!0});if(e$1.payload=err$2,window.dispatchEvent(e$1),!e$1.defaultPrevented)throw err$2}return promise.then(res=>{for(const item of res||[])item.status==="rejected"&&handlePreloadError(item.reason);return baseModule().
+catch(handlePreloadError)})},matchers={},PUBLIC_VERSION="5";typeof window<"u"&&((window.__svelte??={}).v??=new Set).add(PUBLIC_VERSION);var root_4$G=from_html('<div id="svelte-announcer" aria-live="assertive" aria-atomic="true" style="position: absolute; left: 0; top: 0; clip: rect(0 0 0 0); clip-path: inset(50%); overflow: hidden; white-space: nowrap; width: 1px; height: 1px"><!></div>'),root$1N=from_html("<!> <!>",1);function Root$6($$anchor,$$props){push$1($$props,!0);let components2=prop($$props,
+"components",23,()=>[]),data_0=prop($$props,"data_0",3,null),data_1=prop($$props,"data_1",3,null);user_pre_effect(()=>$$props.stores.page.set($$props.page)),user_effect(()=>{$$props.stores,$$props.page,$$props.constructors,components2(),$$props.form,data_0(),data_1(),$$props.stores.page.notify()});let mounted=state$1(!1),navigated=state$1(!1),title2=state$1(null);onMount$1(()=>{const unsubscribe=$$props.stores.page.subscribe(()=>{get$4(mounted)&&(set$1(navigated,!0),tick().then(()=>{set$1(title2,
+document.title||"untitled page",!0)}))});return set$1(mounted,!0),unsubscribe});const Pyramid_1=user_derived(()=>$$props.constructors[1]);var fragment=root$1N(),node2=first_child(fragment);{var consequent=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>get$4(Pyramid_0),($$anchor3,Pyramid_0_1)=>{bind_this(Pyramid_0_1($$anchor3,{get data(){return data_0()},get form(){return $$props.form},get params(){
+return $$props.page.params},children:($$anchor4,$$slotProps)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);component(node_2,()=>get$4(Pyramid_1),($$anchor5,Pyramid_1_1)=>{bind_this(Pyramid_1_1($$anchor5,{get data(){return data_1()},get form(){return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[1]=$$value,()=>components2()?.[1])}),append($$anchor4,fragment_2)},$$slots:{default:!0}}),$$value=>components2()[0]=$$value,()=>components2()?.[0])}),append(
+$$anchor2,fragment_1)},alternate=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_3=comment$2(),node_3=first_child(fragment_3);component(node_3,()=>get$4(Pyramid_0),($$anchor3,Pyramid_0_2)=>{bind_this(Pyramid_0_2($$anchor3,{get data(){return data_0()},get form(){return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[0]=$$value,()=>components2()?.[0])}),append($$anchor2,fragment_3)};if_block(node2,$$render=>{$$props.constructors[1]?
+$$render(consequent):$$render(alternate,!1)})}var node_4=sibling(node2,2);{var consequent_2=$$anchor2=>{var div=root_4$G(),node_5=child(div);{var consequent_1=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,get$4(title2))),append($$anchor3,text2)};if_block(node_5,$$render=>{get$4(navigated)&&$$render(consequent_1)})}reset(div),append($$anchor2,div)};if_block(node_4,$$render=>{get$4(mounted)&&$$render(consequent_2)})}append($$anchor,fragment),pop()}const root$1M=asClassComponent(
+Root$6),nodes=[()=>__vitePreload(()=>Promise.resolve().then(()=>_0),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_1),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_2),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_3),void 0,import.meta.url)],server_loads=[],dictionary={"/":[2],"/chat/[id]":[3]},hooks={handleError:({error:error2})=>{console.error(error2)},reroute:()=>{},transport:{}},
+decoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.decode])),encoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.encode])),hash=!0,decode$2=(type2,value)=>decoders[type2](value),app=Object.freeze(Object.defineProperty({__proto__:null,decode:decode$2,decoders,dictionary,encoders,hash,hooks,matchers,nodes,root:root$1M,server_loads},Symbol.toStringTag,{value:"Module"}));function start(element2,options){start$1(app,element2,options)}const page$2={
+get params(){return page$3.params},get route(){return page$3.route},get status(){return page$3.status},get url(){return page$3.url}};stores.updated.check;const page$1=page$2,CLASS_PART_SEPARATOR="-",createClassGroupUtils=config2=>{const classMap=createClassMap(config2),{conflictingClassGroups,conflictingClassGroupModifiers}=config2;return{getClassGroupId:className=>{const classParts=className.split(CLASS_PART_SEPARATOR);return classParts[0]===""&&classParts.length!==1&&classParts.shift(),getGroupRecursive(
+classParts,classMap)||getGroupIdForArbitraryProperty(className)},getConflictingClassGroupIds:(classGroupId,hasPostfixModifier)=>{const conflicts=conflictingClassGroups[classGroupId]||[];return hasPostfixModifier&&conflictingClassGroupModifiers[classGroupId]?[...conflicts,...conflictingClassGroupModifiers[classGroupId]]:conflicts}}},getGroupRecursive=(classParts,classPartObject)=>{if(classParts.length===0)return classPartObject.classGroupId;const currentClassPart=classParts[0],nextClassPartObject=classPartObject.
+nextPart.get(currentClassPart),classGroupFromNextClassPart=nextClassPartObject?getGroupRecursive(classParts.slice(1),nextClassPartObject):void 0;if(classGroupFromNextClassPart)return classGroupFromNextClassPart;if(classPartObject.validators.length===0)return;const classRest=classParts.join(CLASS_PART_SEPARATOR);return classPartObject.validators.find(({validator})=>validator(classRest))?.classGroupId},arbitraryPropertyRegex=/^\[(.+)\]$/,getGroupIdForArbitraryProperty=className=>{if(arbitraryPropertyRegex.
+test(className)){const arbitraryPropertyClassName=arbitraryPropertyRegex.exec(className)[1],property=arbitraryPropertyClassName?.substring(0,arbitraryPropertyClassName.indexOf(":"));if(property)return"arbitrary.."+property}},createClassMap=config2=>{const{theme,classGroups}=config2,classMap={nextPart:new Map,validators:[]};for(const classGroupId in classGroups)processClassesRecursively(classGroups[classGroupId],classMap,classGroupId,theme);return classMap},processClassesRecursively=(classGroup,classPartObject,classGroupId,theme)=>{
+classGroup.forEach(classDefinition=>{if(typeof classDefinition=="string"){const classPartObjectToEdit=classDefinition===""?classPartObject:getPart(classPartObject,classDefinition);classPartObjectToEdit.classGroupId=classGroupId;return}if(typeof classDefinition=="function"){if(isThemeGetter(classDefinition)){processClassesRecursively(classDefinition(theme),classPartObject,classGroupId,theme);return}classPartObject.validators.push({validator:classDefinition,classGroupId});return}Object.entries(classDefinition).
+forEach(([key2,classGroup2])=>{processClassesRecursively(classGroup2,getPart(classPartObject,key2),classGroupId,theme)})})},getPart=(classPartObject,path2)=>{let currentClassPartObject=classPartObject;return path2.split(CLASS_PART_SEPARATOR).forEach(pathPart=>{currentClassPartObject.nextPart.has(pathPart)||currentClassPartObject.nextPart.set(pathPart,{nextPart:new Map,validators:[]}),currentClassPartObject=currentClassPartObject.nextPart.get(pathPart)}),currentClassPartObject},isThemeGetter=func=>func.
+isThemeGetter,createLruCache=maxCacheSize=>{if(maxCacheSize<1)return{get:()=>{},set:()=>{}};let cacheSize=0,cache2=new Map,previousCache=new Map;const update2=(key2,value)=>{cache2.set(key2,value),cacheSize++,cacheSize>maxCacheSize&&(cacheSize=0,previousCache=cache2,cache2=new Map)};return{get(key2){let value=cache2.get(key2);if(value!==void 0)return value;if((value=previousCache.get(key2))!==void 0)return update2(key2,value),value},set(key2,value){cache2.has(key2)?cache2.set(key2,value):update2(
+key2,value)}}},IMPORTANT_MODIFIER="!",MODIFIER_SEPARATOR=":",MODIFIER_SEPARATOR_LENGTH=MODIFIER_SEPARATOR.length,createParseClassName=config2=>{const{prefix,experimentalParseClassName}=config2;let parseClassName=className=>{const modifiers=[];let bracketDepth=0,parenDepth=0,modifierStart=0,postfixModifierPosition;for(let index2=0;index2<className.length;index2++){let currentCharacter=className[index2];if(bracketDepth===0&&parenDepth===0){if(currentCharacter===MODIFIER_SEPARATOR){modifiers.push(className.
+slice(modifierStart,index2)),modifierStart=index2+MODIFIER_SEPARATOR_LENGTH;continue}if(currentCharacter==="/"){postfixModifierPosition=index2;continue}}currentCharacter==="["?bracketDepth++:currentCharacter==="]"?bracketDepth--:currentCharacter==="("?parenDepth++:currentCharacter===")"&&parenDepth--}const baseClassNameWithImportantModifier=modifiers.length===0?className:className.substring(modifierStart),baseClassName=stripImportantModifier(baseClassNameWithImportantModifier),hasImportantModifier=baseClassName!==
+baseClassNameWithImportantModifier,maybePostfixModifierPosition=postfixModifierPosition&&postfixModifierPosition>modifierStart?postfixModifierPosition-modifierStart:void 0;return{modifiers,hasImportantModifier,baseClassName,maybePostfixModifierPosition}};if(prefix){const fullPrefix=prefix+MODIFIER_SEPARATOR,parseClassNameOriginal=parseClassName;parseClassName=className=>className.startsWith(fullPrefix)?parseClassNameOriginal(className.substring(fullPrefix.length)):{isExternal:!0,modifiers:[],hasImportantModifier:!1,
+baseClassName:className,maybePostfixModifierPosition:void 0}}if(experimentalParseClassName){const parseClassNameOriginal=parseClassName;parseClassName=className=>experimentalParseClassName({className,parseClassName:parseClassNameOriginal})}return parseClassName},stripImportantModifier=baseClassName=>baseClassName.endsWith(IMPORTANT_MODIFIER)?baseClassName.substring(0,baseClassName.length-1):baseClassName.startsWith(IMPORTANT_MODIFIER)?baseClassName.substring(1):baseClassName,createSortModifiers=config2=>{
+const orderSensitiveModifiers=Object.fromEntries(config2.orderSensitiveModifiers.map(modifier=>[modifier,!0]));return modifiers=>{if(modifiers.length<=1)return modifiers;const sortedModifiers=[];let unsortedModifiers=[];return modifiers.forEach(modifier=>{modifier[0]==="["||orderSensitiveModifiers[modifier]?(sortedModifiers.push(...unsortedModifiers.sort(),modifier),unsortedModifiers=[]):unsortedModifiers.push(modifier)}),sortedModifiers.push(...unsortedModifiers.sort()),sortedModifiers}},createConfigUtils=config2=>({
+cache:createLruCache(config2.cacheSize),parseClassName:createParseClassName(config2),sortModifiers:createSortModifiers(config2),...createClassGroupUtils(config2)}),SPLIT_CLASSES_REGEX=/\s+/,mergeClassList=(classList,configUtils)=>{const{parseClassName,getClassGroupId,getConflictingClassGroupIds,sortModifiers}=configUtils,classGroupsInConflict=[],classNames=classList.trim().split(SPLIT_CLASSES_REGEX);let result="";for(let index2=classNames.length-1;index2>=0;index2-=1){const originalClassName=classNames[index2],
+{isExternal,modifiers,hasImportantModifier,baseClassName,maybePostfixModifierPosition}=parseClassName(originalClassName);if(isExternal){result=originalClassName+(result.length>0?" "+result:result);continue}let hasPostfixModifier=!!maybePostfixModifierPosition,classGroupId=getClassGroupId(hasPostfixModifier?baseClassName.substring(0,maybePostfixModifierPosition):baseClassName);if(!classGroupId){if(!hasPostfixModifier){result=originalClassName+(result.length>0?" "+result:result);continue}if(classGroupId=
+getClassGroupId(baseClassName),!classGroupId){result=originalClassName+(result.length>0?" "+result:result);continue}hasPostfixModifier=!1}const variantModifier=sortModifiers(modifiers).join(":"),modifierId=hasImportantModifier?variantModifier+IMPORTANT_MODIFIER:variantModifier,classId=modifierId+classGroupId;if(classGroupsInConflict.includes(classId))continue;classGroupsInConflict.push(classId);const conflictGroups=getConflictingClassGroupIds(classGroupId,hasPostfixModifier);for(let i=0;i<conflictGroups.
+length;++i){const group=conflictGroups[i];classGroupsInConflict.push(modifierId+group)}result=originalClassName+(result.length>0?" "+result:result)}return result};function twJoin(){let index2=0,argument,resolvedValue,string2="";for(;index2<arguments.length;)(argument=arguments[index2++])&&(resolvedValue=toValue(argument))&&(string2&&(string2+=" "),string2+=resolvedValue);return string2}const toValue=mix=>{if(typeof mix=="string")return mix;let resolvedValue,string2="";for(let k=0;k<mix.length;k++)
+mix[k]&&(resolvedValue=toValue(mix[k]))&&(string2&&(string2+=" "),string2+=resolvedValue);return string2};function createTailwindMerge(createConfigFirst,...createConfigRest){let configUtils,cacheGet,cacheSet,functionToCall=initTailwindMerge;function initTailwindMerge(classList){const config2=createConfigRest.reduce((previousConfig,createConfigCurrent)=>createConfigCurrent(previousConfig),createConfigFirst());return configUtils=createConfigUtils(config2),cacheGet=configUtils.cache.get,cacheSet=configUtils.
+cache.set,functionToCall=tailwindMerge,tailwindMerge(classList)}function tailwindMerge(classList){const cachedResult=cacheGet(classList);if(cachedResult)return cachedResult;const result=mergeClassList(classList,configUtils);return cacheSet(classList,result),result}return function(){return functionToCall(twJoin.apply(null,arguments))}}const fromTheme=key2=>{const themeGetter=theme=>theme[key2]||[];return themeGetter.isThemeGetter=!0,themeGetter},arbitraryValueRegex=/^\[(?:(\w[\w-]*):)?(.+)\]$/i,arbitraryVariableRegex=/^\((?:(\w[\w-]*):)?(.+)\)$/i,
+fractionRegex=/^\d+\/\d+$/,tshirtUnitRegex=/^(\d+(\.\d+)?)?(xs|sm|md|lg|xl)$/,lengthUnitRegex=/\d+(%|px|r?em|[sdl]?v([hwib]|min|max)|pt|pc|in|cm|mm|cap|ch|ex|r?lh|cq(w|h|i|b|min|max))|\b(calc|min|max|clamp)\(.+\)|^0$/,colorFunctionRegex=/^(rgba?|hsla?|hwb|(ok)?(lab|lch)|color-mix)\(.+\)$/,shadowRegex=/^(inset_)?-?((\d+)?\.?(\d+)[a-z]+|0)_-?((\d+)?\.?(\d+)[a-z]+|0)/,imageRegex=/^(url|image|image-set|cross-fade|element|(repeating-)?(linear|radial|conic)-gradient)\(.+\)$/,isFraction=value=>fractionRegex.
+test(value),isNumber=value=>!!value&&!Number.isNaN(Number(value)),isInteger=value=>!!value&&Number.isInteger(Number(value)),isPercent=value=>value.endsWith("%")&&isNumber(value.slice(0,-1)),isTshirtSize=value=>tshirtUnitRegex.test(value),isAny=()=>!0,isLengthOnly=value=>lengthUnitRegex.test(value)&&!colorFunctionRegex.test(value),isNever=()=>!1,isShadow=value=>shadowRegex.test(value),isImage=value=>imageRegex.test(value),isAnyNonArbitrary=value=>!isArbitraryValue(value)&&!isArbitraryVariable(value),
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+isArbitraryValue]}],"perspective-origin":[{"perspective-origin":scalePositionWithArbitrary()}],rotate:[{rotate:scaleRotate()}],"rotate-x":[{"rotate-x":scaleRotate()}],"rotate-y":[{"rotate-y":scaleRotate()}],"rotate-z":[{"rotate-z":scaleRotate()}],scale:[{scale:scaleScale()}],"scale-x":[{"scale-x":scaleScale()}],"scale-y":[{"scale-y":scaleScale()}],"scale-z":[{"scale-z":scaleScale()}],"scale-3d":["scale-3d"],skew:[{skew:scaleSkew()}],"skew-x":[{"skew-x":scaleSkew()}],"skew-y":[{"skew-y":scaleSkew()}],
+transform:[{transform:[isArbitraryVariable,isArbitraryValue,"","none","gpu","cpu"]}],"transform-origin":[{origin:scalePositionWithArbitrary()}],"transform-style":[{transform:["3d","flat"]}],translate:[{translate:scaleTranslate()}],"translate-x":[{"translate-x":scaleTranslate()}],"translate-y":[{"translate-y":scaleTranslate()}],"translate-z":[{"translate-z":scaleTranslate()}],"translate-none":["translate-none"],accent:[{accent:scaleColor()}],appearance:[{appearance:["none","auto"]}],"caret-color":[
+{caret:scaleColor()}],"color-scheme":[{scheme:["normal","dark","light","light-dark","only-dark","only-light"]}],cursor:[{cursor:["auto","default","pointer","wait","text","move","help","not-allowed","none","context-menu","progress","cell","crosshair","vertical-text","alias","copy","no-drop","grab","grabbing","all-scroll","col-resize","row-resize","n-resize","e-resize","s-resize","w-resize","ne-resize","nw-resize","se-resize","sw-resize","ew-resize","ns-resize","nesw-resize","nwse-resize","zoom-in",
+"zoom-out",isArbitraryVariable,isArbitraryValue]}],"field-sizing":[{"field-sizing":["fixed","content"]}],"pointer-events":[{"pointer-events":["auto","none"]}],resize:[{resize:["none","","y","x"]}],"scroll-behavior":[{scroll:["auto","smooth"]}],"scroll-m":[{"scroll-m":scaleUnambiguousSpacing()}],"scroll-mx":[{"scroll-mx":scaleUnambiguousSpacing()}],"scroll-my":[{"scroll-my":scaleUnambiguousSpacing()}],"scroll-ms":[{"scroll-ms":scaleUnambiguousSpacing()}],"scroll-me":[{"scroll-me":scaleUnambiguousSpacing()}],
+"scroll-mt":[{"scroll-mt":scaleUnambiguousSpacing()}],"scroll-mr":[{"scroll-mr":scaleUnambiguousSpacing()}],"scroll-mb":[{"scroll-mb":scaleUnambiguousSpacing()}],"scroll-ml":[{"scroll-ml":scaleUnambiguousSpacing()}],"scroll-p":[{"scroll-p":scaleUnambiguousSpacing()}],"scroll-px":[{"scroll-px":scaleUnambiguousSpacing()}],"scroll-py":[{"scroll-py":scaleUnambiguousSpacing()}],"scroll-ps":[{"scroll-ps":scaleUnambiguousSpacing()}],"scroll-pe":[{"scroll-pe":scaleUnambiguousSpacing()}],"scroll-pt":[{"s\
+croll-pt":scaleUnambiguousSpacing()}],"scroll-pr":[{"scroll-pr":scaleUnambiguousSpacing()}],"scroll-pb":[{"scroll-pb":scaleUnambiguousSpacing()}],"scroll-pl":[{"scroll-pl":scaleUnambiguousSpacing()}],"snap-align":[{snap:["start","end","center","align-none"]}],"snap-stop":[{snap:["normal","always"]}],"snap-type":[{snap:["none","x","y","both"]}],"snap-strictness":[{snap:["mandatory","proximity"]}],touch:[{touch:["auto","none","manipulation"]}],"touch-x":[{"touch-pan":["x","left","right"]}],"touch-\
+y":[{"touch-pan":["y","up","down"]}],"touch-pz":["touch-pinch-zoom"],select:[{select:["none","text","all","auto"]}],"will-change":[{"will-change":["auto","scroll","contents","transform",isArbitraryVariable,isArbitraryValue]}],fill:[{fill:["none",...scaleColor()]}],"stroke-w":[{stroke:[isNumber,isArbitraryVariableLength,isArbitraryLength,isArbitraryNumber]}],stroke:[{stroke:["none",...scaleColor()]}],"forced-color-adjust":[{"forced-color-adjust":["auto","none"]}]},conflictingClassGroups:{overflow:[
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+-spacing","fvn-fraction"],"fvn-ordinal":["fvn-normal"],"fvn-slashed-zero":["fvn-normal"],"fvn-figure":["fvn-normal"],"fvn-spacing":["fvn-normal"],"fvn-fraction":["fvn-normal"],"line-clamp":["display","overflow"],rounded:["rounded-s","rounded-e","rounded-t","rounded-r","rounded-b","rounded-l","rounded-ss","rounded-se","rounded-ee","rounded-es","rounded-tl","rounded-tr","rounded-br","rounded-bl"],"rounded-s":["rounded-ss","rounded-es"],"rounded-e":["rounded-se","rounded-ee"],"rounded-t":["rounded-\
+tl","rounded-tr"],"rounded-r":["rounded-tr","rounded-br"],"rounded-b":["rounded-br","rounded-bl"],"rounded-l":["rounded-tl","rounded-bl"],"border-spacing":["border-spacing-x","border-spacing-y"],"border-w":["border-w-x","border-w-y","border-w-s","border-w-e","border-w-t","border-w-r","border-w-b","border-w-l"],"border-w-x":["border-w-r","border-w-l"],"border-w-y":["border-w-t","border-w-b"],"border-color":["border-color-x","border-color-y","border-color-s","border-color-e","border-color-t","bord\
+er-color-r","border-color-b","border-color-l"],"border-color-x":["border-color-r","border-color-l"],"border-color-y":["border-color-t","border-color-b"],translate:["translate-x","translate-y","translate-none"],"translate-none":["translate","translate-x","translate-y","translate-z"],"scroll-m":["scroll-mx","scroll-my","scroll-ms","scroll-me","scroll-mt","scroll-mr","scroll-mb","scroll-ml"],"scroll-mx":["scroll-mr","scroll-ml"],"scroll-my":["scroll-mt","scroll-mb"],"scroll-p":["scroll-px","scroll-\
+py","scroll-ps","scroll-pe","scroll-pt","scroll-pr","scroll-pb","scroll-pl"],"scroll-px":["scroll-pr","scroll-pl"],"scroll-py":["scroll-pt","scroll-pb"],touch:["touch-x","touch-y","touch-pz"],"touch-x":["touch"],"touch-y":["touch"],"touch-pz":["touch"]},conflictingClassGroupModifiers:{"font-size":["leading"]},orderSensitiveModifiers:["*","**","after","backdrop","before","details-content","file","first-letter","first-line","marker","placeholder","selection"]}},mergeConfigs=(baseConfig,{cacheSize,
+prefix,experimentalParseClassName,extend:extend2={},override={}})=>(overrideProperty(baseConfig,"cacheSize",cacheSize),overrideProperty(baseConfig,"prefix",prefix),overrideProperty(baseConfig,"experimentalParseClassName",experimentalParseClassName),overrideConfigProperties(baseConfig.theme,override.theme),overrideConfigProperties(baseConfig.classGroups,override.classGroups),overrideConfigProperties(baseConfig.conflictingClassGroups,override.conflictingClassGroups),overrideConfigProperties(baseConfig.
+conflictingClassGroupModifiers,override.conflictingClassGroupModifiers),overrideProperty(baseConfig,"orderSensitiveModifiers",override.orderSensitiveModifiers),mergeConfigProperties(baseConfig.theme,extend2.theme),mergeConfigProperties(baseConfig.classGroups,extend2.classGroups),mergeConfigProperties(baseConfig.conflictingClassGroups,extend2.conflictingClassGroups),mergeConfigProperties(baseConfig.conflictingClassGroupModifiers,extend2.conflictingClassGroupModifiers),mergeArrayProperties(baseConfig,
+extend2,"orderSensitiveModifiers"),baseConfig),overrideProperty=(baseObject,overrideKey,overrideValue)=>{overrideValue!==void 0&&(baseObject[overrideKey]=overrideValue)},overrideConfigProperties=(baseObject,overrideObject)=>{if(overrideObject)for(const key2 in overrideObject)overrideProperty(baseObject,key2,overrideObject[key2])},mergeConfigProperties=(baseObject,mergeObject)=>{if(mergeObject)for(const key2 in mergeObject)mergeArrayProperties(baseObject,mergeObject,key2)},mergeArrayProperties=(baseObject,mergeObject,key2)=>{
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+removeExtraSpaces=str=>typeof str!="string"||!str?str:str.replace(SPACE_REGEX," ").trim(),cx=(...classnames)=>{const classList=[],buildClassString=input=>{if(!input&&input!==0&&input!==0n)return;if(Array.isArray(input)){for(let i=0,len=input.length;i<len;i++)buildClassString(input[i]);return}const type2=typeof input;if(type2==="string"||type2==="number"||type2==="bigint"){if(type2==="number"&&input!==input)return;classList.push(String(input))}else if(type2==="object"){const keys2=Object.keys(input);
+for(let i=0,len=keys2.length;i<len;i++){const key2=keys2[i];input[key2]&&classList.push(key2)}}};for(let i=0,len=classnames.length;i<len;i++){const c2=classnames[i];c2!=null&&buildClassString(c2)}return classList.length>0?removeExtraSpaces(classList.join(" ")):void 0},falsyToString=value=>value===!1?"false":value===!0?"true":value===0?"0":value,isEmptyObject=obj=>{if(!obj||typeof obj!="object")return!0;for(const _ in obj)return!1;return!0},isEqual=(obj1,obj2)=>{if(obj1===obj2)return!0;if(!obj1||
+!obj2)return!1;const keys1=Object.keys(obj1),keys2=Object.keys(obj2);if(keys1.length!==keys2.length)return!1;for(let i=0;i<keys1.length;i++){const key2=keys1[i];if(!keys2.includes(key2)||obj1[key2]!==obj2[key2])return!1}return!0},joinObjects=(obj1,obj2)=>{for(const key2 in obj2)if(Object.prototype.hasOwnProperty.call(obj2,key2)){const val2=obj2[key2];key2 in obj1?obj1[key2]=cx(obj1[key2],val2):obj1[key2]=val2}return obj1},flat=(arr,target2)=>{for(let i=0;i<arr.length;i++){const el=arr[i];Array.isArray(
+el)?flat(el,target2):el&&target2.push(el)}},flatMergeArrays=(...arrays)=>{const result=[];flat(arrays,result);const filtered=[];for(let i=0;i<result.length;i++)result[i]&&filtered.push(result[i]);return filtered},mergeObjects=(obj1,obj2)=>{const result={};for(const key2 in obj1){const val1=obj1[key2];if(key2 in obj2){const val2=obj2[key2];Array.isArray(val1)||Array.isArray(val2)?result[key2]=flatMergeArrays(val2,val1):typeof val1=="object"&&typeof val2=="object"&&val1&&val2?result[key2]=mergeObjects(
+val1,val2):result[key2]=val2+" "+val1}else result[key2]=val1}for(const key2 in obj2)key2 in obj1||(result[key2]=obj2[key2]);return result},defaultConfig={twMerge:!0,twMergeConfig:{}};function createState$1(){let cachedTwMerge=null,cachedTwMergeConfig={},didTwMergeConfigChange=!1;return{get cachedTwMerge(){return cachedTwMerge},set cachedTwMerge(value){cachedTwMerge=value},get cachedTwMergeConfig(){return cachedTwMergeConfig},set cachedTwMergeConfig(value){cachedTwMergeConfig=value},get didTwMergeConfigChange(){
+return didTwMergeConfigChange},set didTwMergeConfigChange(value){didTwMergeConfigChange=value},reset(){cachedTwMerge=null,cachedTwMergeConfig={},didTwMergeConfigChange=!1}}}var state=createState$1(),getTailwindVariants=cn2=>{const tv2=(options,configProp)=>{const{extend:extend2=null,slots:slotProps={},variants:variantsProps={},compoundVariants:compoundVariantsProps=[],compoundSlots=[],defaultVariants:defaultVariantsProps={}}=options,config2={...defaultConfig,...configProp},base2=extend2?.base?cx(
+extend2.base,options?.base):options?.base,variants2=extend2?.variants&&!isEmptyObject(extend2.variants)?mergeObjects(variantsProps,extend2.variants):variantsProps,defaultVariants=extend2?.defaultVariants&&!isEmptyObject(extend2.defaultVariants)?{...extend2.defaultVariants,...defaultVariantsProps}:defaultVariantsProps;!isEmptyObject(config2.twMergeConfig)&&!isEqual(config2.twMergeConfig,state.cachedTwMergeConfig)&&(state.didTwMergeConfigChange=!0,state.cachedTwMergeConfig=config2.twMergeConfig);const isExtendedSlotsEmpty=isEmptyObject(
+extend2?.slots),componentSlots=isEmptyObject(slotProps)?{}:{base:cx(options?.base,isExtendedSlotsEmpty&&extend2?.base),...slotProps},slots=isExtendedSlotsEmpty?componentSlots:joinObjects({...extend2?.slots},isEmptyObject(componentSlots)?{base:options?.base}:componentSlots),compoundVariants=isEmptyObject(extend2?.compoundVariants)?compoundVariantsProps:flatMergeArrays(extend2?.compoundVariants,compoundVariantsProps),component2=props=>{if(isEmptyObject(variants2)&&isEmptyObject(slotProps)&&isExtendedSlotsEmpty)
+return cn2(base2,props?.class,props?.className)(config2);if(compoundVariants&&!Array.isArray(compoundVariants))throw new TypeError(`The "compoundVariants" prop must be an array. Received: ${typeof compoundVariants}`);if(compoundSlots&&!Array.isArray(compoundSlots))throw new TypeError(`The "compoundSlots" prop must be an array. Received: ${typeof compoundSlots}`);const getVariantValue=(variant,vrs=variants2,_slotKey=null,slotProps2=null)=>{const variantObj=vrs[variant];if(!variantObj||isEmptyObject(
+variantObj))return null;const variantProp=slotProps2?.[variant]??props?.[variant];if(variantProp===null)return null;const variantKey=falsyToString(variantProp);if(typeof variantKey=="object")return null;const defaultVariantProp=defaultVariants?.[variant],key2=variantKey??falsyToString(defaultVariantProp);return variantObj[key2||"false"]},getVariantClassNames=()=>{if(!variants2)return null;const keys2=Object.keys(variants2),result=[];for(let i=0;i<keys2.length;i++){const value=getVariantValue(keys2[i],
+variants2);value&&result.push(value)}return result},getVariantClassNamesBySlotKey=(slotKey,slotProps2)=>{if(!variants2||typeof variants2!="object")return null;const result=[];for(const variant in variants2){const variantValue=getVariantValue(variant,variants2,slotKey,slotProps2),value=slotKey==="base"&&typeof variantValue=="string"?variantValue:variantValue&&variantValue[slotKey];value&&result.push(value)}return result},propsWithoutUndefined={};for(const prop2 in props){const value=props[prop2];
+value!==void 0&&(propsWithoutUndefined[prop2]=value)}const getCompleteProps=(key2,slotProps2)=>{const initialProp=typeof props?.[key2]=="object"?{[key2]:props[key2]?.initial}:{};return{...defaultVariants,...propsWithoutUndefined,...initialProp,...slotProps2}},getCompoundVariantsValue=(cv=[],slotProps2)=>{const result=[],cvLength=cv.length;for(let i=0;i<cvLength;i++){const{class:tvClass,className:tvClassName,...compoundVariantOptions}=cv[i];let isValid=!0;const completeProps=getCompleteProps(null,
+slotProps2);for(const key2 in compoundVariantOptions){const value=compoundVariantOptions[key2],completePropsValue=completeProps[key2];if(Array.isArray(value)){if(!value.includes(completePropsValue)){isValid=!1;break}}else{if((value==null||value===!1)&&(completePropsValue==null||completePropsValue===!1))continue;if(completePropsValue!==value){isValid=!1;break}}}isValid&&(tvClass&&result.push(tvClass),tvClassName&&result.push(tvClassName))}return result},getCompoundVariantClassNamesBySlot=slotProps2=>{
+const compoundClassNames=getCompoundVariantsValue(compoundVariants,slotProps2);if(!Array.isArray(compoundClassNames))return compoundClassNames;const result={},cnFn=cn2;for(let i=0;i<compoundClassNames.length;i++){const className=compoundClassNames[i];if(typeof className=="string")result.base=cnFn(result.base,className)(config2);else if(typeof className=="object")for(const slot in className)result[slot]=cnFn(result[slot],className[slot])(config2)}return result},getCompoundSlotClassNameBySlot=slotProps2=>{
+if(compoundSlots.length<1)return null;const result={},completeProps=getCompleteProps(null,slotProps2);for(let i=0;i<compoundSlots.length;i++){const{slots:slots2=[],class:slotClass,className:slotClassName,...slotVariants}=compoundSlots[i];if(!isEmptyObject(slotVariants)){let isValid=!0;for(const key2 in slotVariants){const completePropsValue=completeProps[key2],slotVariantValue=slotVariants[key2];if(completePropsValue===void 0||(Array.isArray(slotVariantValue)?!slotVariantValue.includes(completePropsValue):
+slotVariantValue!==completePropsValue)){isValid=!1;break}}if(!isValid)continue}for(let j=0;j<slots2.length;j++){const slotName=slots2[j];result[slotName]||(result[slotName]=[]),result[slotName].push([slotClass,slotClassName])}}return result};if(!isEmptyObject(slotProps)||!isExtendedSlotsEmpty){const slotsFns={};if(typeof slots=="object"&&!isEmptyObject(slots)){const cnFn=cn2;for(const slotKey in slots)slotsFns[slotKey]=slotProps2=>{const compoundVariantClasses=getCompoundVariantClassNamesBySlot(
+slotProps2),compoundSlotClasses=getCompoundSlotClassNameBySlot(slotProps2);return cnFn(slots[slotKey],getVariantClassNamesBySlotKey(slotKey,slotProps2),compoundVariantClasses?compoundVariantClasses[slotKey]:void 0,compoundSlotClasses?compoundSlotClasses[slotKey]:void 0,slotProps2?.class,slotProps2?.className)(config2)}}return slotsFns}return cn2(base2,getVariantClassNames(),getCompoundVariantsValue(compoundVariants),props?.class,props?.className)(config2)},getVariantKeys=()=>{if(!(!variants2||typeof variants2!=
+"object"))return Object.keys(variants2)};return component2.variantKeys=getVariantKeys(),component2.extend=extend2,component2.base=base2,component2.slots=slots,component2.variants=variants2,component2.defaultVariants=defaultVariants,component2.compoundSlots=compoundSlots,component2.compoundVariants=compoundVariants,component2};return{tv:tv2,createTV:configProp=>(options,config2)=>tv2(options,config2?mergeObjects(configProp,config2):configProp)}},createTwMerge=cachedTwMergeConfig=>isEmptyObject(cachedTwMergeConfig)?
+twMerge:extendTailwindMerge({...cachedTwMergeConfig,extend:{theme:cachedTwMergeConfig.theme,classGroups:cachedTwMergeConfig.classGroups,conflictingClassGroupModifiers:cachedTwMergeConfig.conflictingClassGroupModifiers,conflictingClassGroups:cachedTwMergeConfig.conflictingClassGroups,...cachedTwMergeConfig.extend}}),executeMerge=(classnames,config2)=>{const base2=cx(classnames);return!base2||!(config2?.twMerge??!0)?base2:((!state.cachedTwMerge||state.didTwMergeConfigChange)&&(state.didTwMergeConfigChange=
+!1,state.cachedTwMerge=createTwMerge(state.cachedTwMergeConfig)),state.cachedTwMerge(base2)||void 0)},cnMerge=(...classnames)=>config2=>executeMerge(classnames,config2),{tv}=getTailwindVariants(cnMerge);const buttonVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex shrink-0 items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium outlin\
+e-none transition-all focus-visible:ring-[3px] disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 [&_svg:not([class*='size-'])]:size-4 [&_svg]:pointer-events-none [&_svg]:shrink-0",variants:{variant:{default:"bg-primary text-primary-foreground shadow-xs hover:bg-primary/90",destructive:"bg-destructive shadow-xs hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white",
+outline:"bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:bg-input/30 dark:border-input dark:hover:bg-input/50 border",secondary:"dark:bg-secondary dark:text-secondary-foreground bg-background shadow-sm text-foreground hover:bg-muted-foreground/20",ghost:"hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm",link:"text-primary underline-offset-4 hover:underline"},size:{default:"h-9 px-4 py-2 has-[>svg]:px-3",sm:"h-8 gap-1.5 rounded-md px-3 has-[>svg\
+]:px-2.5",lg:"h-10 rounded-md px-6 has-[>svg]:px-4","icon-lg":"size-10",icon:"size-9","icon-sm":"size-5 rounded-sm"}},defaultVariants:{variant:"default",size:"default"}});var root_1$17=from_html("<a><!></a>"),root_2$1v=from_html("<button><!></button>");function Button($$anchor,$$props){push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),size2=prop($$props,"size",3,"default"),ref2=prop($$props,"ref",15,null),href=prop($$props,"href",3,void 0),type2=prop($$props,"type",3,"button"),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","class","variant","size","ref","href","type","disabled","children"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var a=root_1$17();attribute_effect(a,$0=>({"data-slot":"button",class:$0,href:$$props.disabled?void 0:href(),"aria-disabled":$$props.disabled,role:$$props.disabled?"link":void 0,tabindex:$$props.disabled?-1:void 0,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,
+void 0,"svelte-1q39rn8");var node_1=child(a);snippet(node_1,()=>$$props.children??noop$3),reset(a),bind_this(a,$$value=>ref2($$value),()=>ref2()),append($$anchor2,a)},alternate=$$anchor2=>{var button=root_2$1v();attribute_effect(button,$0=>({"data-slot":"button",class:$0,type:type2(),disabled:$$props.disabled,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),
+reset(button),bind_this(button,$$value=>ref2($$value),()=>ref2()),append($$anchor2,button)};if_block(node2,$$render=>{href()?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function isFunction$2(value){return typeof value=="function"}function isObject$2(value){return value!==null&&typeof value=="object"}const CLASS_VALUE_PRIMITIVE_TYPES=["string","number","bigint","boolean"];function isClassValue(value){return value==null||CLASS_VALUE_PRIMITIVE_TYPES.includes(typeof value)?
+!0:Array.isArray(value)?value.every(item=>isClassValue(item)):typeof value=="object"?Object.getPrototypeOf(value)===Object.prototype:!1}const BoxSymbol$1=Symbol("box"),isWritableSymbol$1=Symbol("is-writable");function boxWith$1(getter,setter){const derived2=user_derived(getter);return setter?{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$4(derived2)},set current(v){setter(v)}}:{[BoxSymbol$1]:!0,get current(){return getter()}}}function isBox$1(value){return isObject$2(value)&&
+BoxSymbol$1 in value}function isWritableBox$1(value){return isBox$1(value)&&isWritableSymbol$1 in value}function boxFrom$1(value){return isBox$1(value)?value:isFunction$2(value)?boxWith$1(value):simpleBox(value)}function boxFlatten$1(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>isBox$1(b)?(isWritableBox$1(b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox$1(b){
+return isWritableBox$1(b)?{[BoxSymbol$1]:!0,get current(){return b.current}}:b}function simpleBox(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$4(current2)},set current(v){set$1(current2,v,!0)}}}function box$1(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$4(current2)},set current(v){set$1(current2,v,!0)}}}box$1.from=boxFrom$1;box$1.
+with=boxWith$1;box$1.flatten=boxFlatten$1;box$1.readonly=toReadonlyBox$1;box$1.isBox=isBox$1;box$1.isWritableBox=isWritableBox$1;function composeHandlers(...handlers2){return function(e){for(const handler of handlers2)if(handler){if(e.defaultPrevented)return;typeof handler=="function"?handler.call(this,e):handler.current?.call(this,e)}}}var commonjsGlobal=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function getDefaultExportFromCjs(x){
+return x&&x.__esModule&&Object.prototype.hasOwnProperty.call(x,"default")?x.default:x}var cjs={},inlineStyleParser,hasRequiredInlineStyleParser;function requireInlineStyleParser(){if(hasRequiredInlineStyleParser)return inlineStyleParser;hasRequiredInlineStyleParser=1;var COMMENT_REGEX=/\/\*[^*]*\*+([^/*][^*]*\*+)*\//g,NEWLINE_REGEX=/\n/g,WHITESPACE_REGEX=/^\s*/,PROPERTY_REGEX=/^(\*?[-#/*\\\w]+(\[[0-9a-z_-]+\])?)\s*/,COLON_REGEX=/^:\s*/,VALUE_REGEX=/^((?:'(?:\\'|.)*?'|"(?:\\"|.)*?"|\([^)]*?\)|[^};])+)/,
+SEMICOLON_REGEX=/^[;\s]*/,TRIM_REGEX=/^\s+|\s+$/g,NEWLINE2=`
+`,FORWARD_SLASH="/",ASTERISK="*",EMPTY_STRING="",TYPE_COMMENT="comment",TYPE_DECLARATION="declaration";inlineStyleParser=function(style2,options){if(typeof style2!="string")throw new TypeError("First argument must be a string");if(!style2)return[];options=options||{};var lineno=1,column=1;function updatePosition(str){var lines=str.match(NEWLINE_REGEX);lines&&(lineno+=lines.length);var i=str.lastIndexOf(NEWLINE2);column=~i?str.length-i:column+str.length}function position2(){var start2={line:lineno,
+column};return function(node2){return node2.position=new Position(start2),whitespace2(),node2}}function Position(start2){this.start=start2,this.end={line:lineno,column},this.source=options.source}Position.prototype.content=style2;function error2(msg){var err=new Error(options.source+":"+lineno+":"+column+": "+msg);if(err.reason=msg,err.filename=options.source,err.line=lineno,err.column=column,err.source=style2,!options.silent)throw err}function match(re2){var m=re2.exec(style2);if(m){var str=m[0];
+return updatePosition(str),style2=style2.slice(str.length),m}}function whitespace2(){match(WHITESPACE_REGEX)}function comments(rules2){var c2;for(rules2=rules2||[];c2=comment2();)c2!==!1&&rules2.push(c2);return rules2}function comment2(){var pos=position2();if(!(FORWARD_SLASH!=style2.charAt(0)||ASTERISK!=style2.charAt(1))){for(var i=2;EMPTY_STRING!=style2.charAt(i)&&(ASTERISK!=style2.charAt(i)||FORWARD_SLASH!=style2.charAt(i+1));)++i;if(i+=2,EMPTY_STRING===style2.charAt(i-1))return error2("End o\
+f comment missing");var str=style2.slice(2,i-2);return column+=2,updatePosition(str),style2=style2.slice(i),column+=2,pos({type:TYPE_COMMENT,comment:str})}}function declaration(){var pos=position2(),prop2=match(PROPERTY_REGEX);if(prop2){if(comment2(),!match(COLON_REGEX))return error2("property missing ':'");var val=match(VALUE_REGEX),ret=pos({type:TYPE_DECLARATION,property:trim(prop2[0].replace(COMMENT_REGEX,EMPTY_STRING)),value:val?trim(val[0].replace(COMMENT_REGEX,EMPTY_STRING)):EMPTY_STRING});
+return match(SEMICOLON_REGEX),ret}}function declarations(){var decls=[];comments(decls);for(var decl;decl=declaration();)decl!==!1&&(decls.push(decl),comments(decls));return decls}return whitespace2(),declarations()};function trim(str){return str?str.replace(TRIM_REGEX,EMPTY_STRING):EMPTY_STRING}return inlineStyleParser}var hasRequiredCjs;function requireCjs(){if(hasRequiredCjs)return cjs;hasRequiredCjs=1;var __importDefault=cjs&&cjs.__importDefault||function(mod){return mod&&mod.__esModule?mod:
+{default:mod}};Object.defineProperty(cjs,"__esModule",{value:!0}),cjs.default=StyleToObject2;var inline_style_parser_1=__importDefault(requireInlineStyleParser());function StyleToObject2(style2,iterator){var styleObject=null;if(!style2||typeof style2!="string")return styleObject;var declarations=(0,inline_style_parser_1.default)(style2),hasIterator=typeof iterator=="function";return declarations.forEach(function(declaration){if(declaration.type==="declaration"){var property=declaration.property,
+value=declaration.value;hasIterator?iterator(property,value,declaration):value&&(styleObject=styleObject||{},styleObject[property]=value)}}),styleObject}return cjs}var cjsExports=requireCjs();const StyleToObject=getDefaultExportFromCjs(cjsExports),parse$4=StyleToObject.default||StyleToObject,NUMBER_CHAR_RE=/\d/,STR_SPLITTERS=["-","_","/","."];function isUppercase(char=""){if(!NUMBER_CHAR_RE.test(char))return char!==char.toLowerCase()}function splitByCase(str){const parts=[];let buff="",previousUpper,
+previousSplitter;for(const char of str){const isSplitter=STR_SPLITTERS.includes(char);if(isSplitter===!0){parts.push(buff),buff="",previousUpper=void 0;continue}const isUpper=isUppercase(char);if(previousSplitter===!1){if(previousUpper===!1&&isUpper===!0){parts.push(buff),buff=char,previousUpper=isUpper;continue}if(previousUpper===!0&&isUpper===!1&&buff.length>1){const lastChar=buff.at(-1);parts.push(buff.slice(0,Math.max(0,buff.length-1))),buff=lastChar+char,previousUpper=isUpper;continue}}buff+=
+char,previousUpper=isUpper,previousSplitter=isSplitter}return parts.push(buff),parts}function pascalCase(str){return str?splitByCase(str).map(p2=>upperFirst(p2)).join(""):""}function camelCase(str){return lowerFirst(pascalCase(str||""))}function upperFirst(str){return str?str[0].toUpperCase()+str.slice(1):""}function lowerFirst(str){return str?str[0].toLowerCase()+str.slice(1):""}function cssToStyleObj(css2){if(!css2)return{};const styleObj={};function iterator(name,value){if(name.startsWith("-m\
+oz-")||name.startsWith("-webkit-")||name.startsWith("-ms-")||name.startsWith("-o-")){styleObj[pascalCase(name)]=value;return}if(name.startsWith("--")){styleObj[name]=value;return}styleObj[camelCase(name)]=value}return parse$4(css2,iterator),styleObj}function executeCallbacks(...callbacks){return(...args)=>{for(const callback of callbacks)typeof callback=="function"&&callback(...args)}}function createParser$2(matcher,replacer){const regex=RegExp(matcher,"g");return str=>{if(typeof str!="string")throw new TypeError(
+`expected an argument of type string, but got ${typeof str}`);return str.match(regex)?str.replace(regex,replacer):str}}const camelToKebab$1=createParser$2(/[A-Z]/,match=>`-${match.toLowerCase()}`);function styleToCSS$1(styleObj){if(!styleObj||typeof styleObj!="object"||Array.isArray(styleObj))throw new TypeError(`expected an argument of type object, but got ${typeof styleObj}`);return Object.keys(styleObj).map(property=>`${camelToKebab$1(property)}: ${styleObj[property]};`).join(`
+`)}function styleToString$1(style2={}){return styleToCSS$1(style2).replace(`
+`," ")}const EVENT_LIST=["onabort","onanimationcancel","onanimationend","onanimationiteration","onanimationstart","onauxclick","onbeforeinput","onbeforetoggle","onblur","oncancel","oncanplay","oncanplaythrough","onchange","onclick","onclose","oncompositionend","oncompositionstart","oncompositionupdate","oncontextlost","oncontextmenu","oncontextrestored","oncopy","oncuechange","oncut","ondblclick","ondrag","ondragend","ondragenter","ondragleave","ondragover","ondragstart","ondrop","ondurationchan\
+ge","onemptied","onended","onerror","onfocus","onfocusin","onfocusout","onformdata","ongotpointercapture","oninput","oninvalid","onkeydown","onkeypress","onkeyup","onload","onloadeddata","onloadedmetadata","onloadstart","onlostpointercapture","onmousedown","onmouseenter","onmouseleave","onmousemove","onmouseout","onmouseover","onmouseup","onpaste","onpause","onplay","onplaying","onpointercancel","onpointerdown","onpointerenter","onpointerleave","onpointermove","onpointerout","onpointerover","onp\
+ointerup","onprogress","onratechange","onreset","onresize","onscroll","onscrollend","onsecuritypolicyviolation","onseeked","onseeking","onselect","onselectionchange","onselectstart","onslotchange","onstalled","onsubmit","onsuspend","ontimeupdate","ontoggle","ontouchcancel","ontouchend","ontouchmove","ontouchstart","ontransitioncancel","ontransitionend","ontransitionrun","ontransitionstart","onvolumechange","onwaiting","onwebkitanimationend","onwebkitanimationiteration","onwebkitanimationstart","\
+onwebkittransitionend","onwheel"],EVENT_LIST_SET=new Set(EVENT_LIST);function isEventHandler(key2){return EVENT_LIST_SET.has(key2)}function mergeProps(...args){const result={...args[0]};for(let i=1;i<args.length;i++){const props=args[i];if(props){for(const key2 of Object.keys(props)){const a=result[key2],b=props[key2],aIsFunction=typeof a=="function",bIsFunction=typeof b=="function";if(aIsFunction&&isEventHandler(key2)){const aHandler=a,bHandler=b;result[key2]=composeHandlers(aHandler,bHandler)}else if(aIsFunction&&
+bIsFunction)result[key2]=executeCallbacks(a,b);else if(key2==="class"){const aIsClassValue=isClassValue(a),bIsClassValue=isClassValue(b);aIsClassValue&&bIsClassValue?result[key2]=clsx$1(a,b):aIsClassValue?result[key2]=clsx$1(a):bIsClassValue&&(result[key2]=clsx$1(b))}else if(key2==="style"){const aIsObject=typeof a=="object",bIsObject=typeof b=="object",aIsString=typeof a=="string",bIsString=typeof b=="string";if(aIsObject&&bIsObject)result[key2]={...a,...b};else if(aIsObject&&bIsString){const parsedStyle=cssToStyleObj(
+b);result[key2]={...a,...parsedStyle}}else if(aIsString&&bIsObject){const parsedStyle=cssToStyleObj(a);result[key2]={...parsedStyle,...b}}else if(aIsString&&bIsString){const parsedStyleA=cssToStyleObj(a),parsedStyleB=cssToStyleObj(b);result[key2]={...parsedStyleA,...parsedStyleB}}else aIsObject?result[key2]=a:bIsObject?result[key2]=b:aIsString?result[key2]=a:bIsString&&(result[key2]=b)}else result[key2]=b!==void 0?b:a}for(const key2 of Object.getOwnPropertySymbols(props)){const a=result[key2],b=props[key2];
+result[key2]=b!==void 0?b:a}}}return typeof result.style=="object"&&(result.style=styleToString$1(result.style).replaceAll(`
+`," ")),result.hidden===!1&&(result.hidden=void 0,delete result.hidden),result.disabled===!1&&(result.disabled=void 0,delete result.disabled),result}const srOnlyStyles$1={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"},srOnlyStylesString=styleToString$1(srOnlyStyles$1),defaultWindow$3=typeof window<"u"?window:void 0;function getActiveElement$4(document2){let activeElement=document2.
+activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}var read_methods=["forEach","isDisjointFrom","isSubsetOf","isSupersetOf"],set_like_methods=["difference","intersection","symmetricDifference","union"],inited=!1;class SvelteSet extends Set{#sources=new Map;#version=state$1(0);#size=state$1(0);#update_version=update_version||-1;constructor(value){if(super(),value){for(var element2 of value)
+super.add(element2);this.#size.v=super.size}inited||this.#init()}#source(value){return update_version===this.#update_version?state$1(value):source$2(value)}#init(){inited=!0;var proto=SvelteSet.prototype,set_proto=Set.prototype;for(const method of read_methods)proto[method]=function(...v){return get$4(this.#version),set_proto[method].apply(this,v)};for(const method of set_like_methods)proto[method]=function(...v){get$4(this.#version);var set2=set_proto[method].apply(this,v);return new SvelteSet(
+set2)}}has(value){var has=super.has(value),sources=this.#sources,s2=sources.get(value);if(s2===void 0){if(!has)return get$4(this.#version),!1;s2=this.#source(!0),sources.set(value,s2)}return get$4(s2),has}add(value){return super.has(value)||(super.add(value),set$1(this.#size,super.size),increment$1(this.#version)),this}delete(value){var deleted=super.delete(value),sources=this.#sources,s2=sources.get(value);return s2!==void 0&&(sources.delete(value),set$1(s2,!1)),deleted&&(set$1(this.#size,super.
+size),increment$1(this.#version)),deleted}clear(){if(super.size!==0){super.clear();var sources=this.#sources;for(var s2 of sources.values())set$1(s2,!1);sources.clear(),set$1(this.#size,0),increment$1(this.#version)}}keys(){return this.values()}values(){return get$4(this.#version),super.values()}entries(){return get$4(this.#version),super.entries()}[Symbol.iterator](){return this.keys()}get size(){return get$4(this.#size)}}class SvelteMap extends Map{#sources=new Map;#version=state$1(0);#size=state$1(
+0);#update_version=update_version||-1;constructor(value){if(super(),value){for(var[key2,v]of value)super.set(key2,v);this.#size.v=super.size}}#source(value){return update_version===this.#update_version?state$1(value):source$2(value)}has(key2){var sources=this.#sources,s2=sources.get(key2);if(s2===void 0){var ret=super.get(key2);if(ret!==void 0)s2=this.#source(0),sources.set(key2,s2);else return get$4(this.#version),!1}return get$4(s2),!0}forEach(callbackfn,this_arg){this.#read_all(),super.forEach(
+callbackfn,this_arg)}get(key2){var sources=this.#sources,s2=sources.get(key2);if(s2===void 0){var ret=super.get(key2);if(ret!==void 0)s2=this.#source(0),sources.set(key2,s2);else{get$4(this.#version);return}}return get$4(s2),super.get(key2)}set(key2,value){var sources=this.#sources,s2=sources.get(key2),prev_res=super.get(key2),res=super.set(key2,value),version2=this.#version;if(s2===void 0)s2=this.#source(0),sources.set(key2,s2),set$1(this.#size,super.size),increment$1(version2);else if(prev_res!==
+value){increment$1(s2);var v_reactions=version2.reactions===null?null:new Set(version2.reactions),needs_version_increase=v_reactions===null||!s2.reactions?.every(r2=>v_reactions.has(r2));needs_version_increase&&increment$1(version2)}return res}delete(key2){var sources=this.#sources,s2=sources.get(key2),res=super.delete(key2);return s2!==void 0&&(sources.delete(key2),set$1(this.#size,super.size),set$1(s2,-1),increment$1(this.#version)),res}clear(){if(super.size!==0){super.clear();var sources=this.#sources;
+set$1(this.#size,0);for(var s2 of sources.values())set$1(s2,-1);increment$1(this.#version),sources.clear()}}#read_all(){get$4(this.#version);var sources=this.#sources;if(this.#size.v!==sources.size){for(var key2 of super.keys())if(!sources.has(key2)){var s2=this.#source(0);sources.set(key2,s2)}}for([,s2]of this.#sources)get$4(s2)}keys(){return get$4(this.#version),super.keys()}values(){return this.#read_all(),super.values()}entries(){return this.#read_all(),super.entries()}[Symbol.iterator](){return this.
+entries()}get size(){return get$4(this.#size),super.size}}class ReactiveValue{#fn;#subscribe;constructor(fn,onsubscribe){this.#fn=fn,this.#subscribe=createSubscriber(onsubscribe)}get current(){return this.#subscribe(),this.#fn()}}const parenthesis_regex=/\(.+\)/,non_parenthesized_keywords=new Set(["all","print","screen","and","or","not","only"]);class MediaQuery extends ReactiveValue{constructor(query,fallback2){let final_query=parenthesis_regex.test(query)||query.split(/[\s,]+/).some(keyword2=>non_parenthesized_keywords.
+has(keyword2.trim()))?query:`(${query})`;const q2=window.matchMedia(final_query);super(()=>q2.matches,update2=>on(q2,"change",update2))}}let ActiveElement$3=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$3,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),
+cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$4(this.#document):null}};new ActiveElement$3;function isFunction$1(value){return typeof value=="function"}function extract(value,defaultValue){if(isFunction$1(value)){const gotten=value();return gotten===void 0?defaultValue:gotten}return value===void 0?defaultValue:value}let Context$1=class{#name;#key;constructor(name){this.#name=name,this.#key=Symbol(name)}get key(){return this.#key}exists(){return hasContext(
+this.#key)}get(){const context=getContext(this.#key);if(context===void 0)throw new Error(`Context "${this.#name}" not found`);return context}getOr(fallback2){const context=getContext(this.#key);return context===void 0?fallback2:context}set(context){return setContext(this.#key,context)}};function useDebounce(callback,wait){let context=state$1(null);const wait$=user_derived(()=>extract(wait,250));function debounced(...args){if(get$4(context))get$4(context).timeout&&clearTimeout(get$4(context).timeout);else{
+let resolve2,reject;const promise=new Promise((res,rej)=>{resolve2=res,reject=rej});set$1(context,{timeout:null,runner:null,promise,resolve:resolve2,reject},!0)}return get$4(context).runner=async()=>{if(!get$4(context))return;const ctx=get$4(context);set$1(context,null);try{ctx.resolve(await callback.apply(this,args))}catch(error2){ctx.reject(error2)}},get$4(context).timeout=setTimeout(get$4(context).runner,get$4(wait$)),get$4(context).promise}return debounced.cancel=async()=>{(!get$4(context)||
+get$4(context).timeout===null)&&(await new Promise(resolve2=>setTimeout(resolve2,0)),!get$4(context)||get$4(context).timeout===null)||(clearTimeout(get$4(context).timeout),get$4(context).reject("Cancelled"),set$1(context,null))},debounced.runScheduledNow=async()=>{(!get$4(context)||!get$4(context).timeout)&&(await new Promise(resolve2=>setTimeout(resolve2,0)),!get$4(context)||!get$4(context).timeout)||(clearTimeout(get$4(context).timeout),get$4(context).timeout=null,await get$4(context).runner?.())},
+Object.defineProperty(debounced,"pending",{enumerable:!0,get(){return!!get$4(context)?.timeout}}),debounced}function runEffect$1(flush,effect2){switch(flush){case"post":user_effect(effect2);break;case"pre":user_pre_effect(effect2);break}}function runWatcher$1(sources,flush,effect2,options={}){const{lazy=!1}=options;let active=!lazy,previousValues=Array.isArray(sources)?[]:void 0;runEffect$1(flush,()=>{const values=Array.isArray(sources)?sources.map(source2=>source2()):sources();if(!active){active=
+!0,previousValues=values;return}const cleanup=untrack$1(()=>effect2(values,previousValues));return previousValues=values,cleanup})}function watch$1(sources,effect2,options){runWatcher$1(sources,"post",effect2,options)}function watchPre$1(sources,effect2,options){runWatcher$1(sources,"pre",effect2,options)}watch$1.pre=watchPre$1;function get$1(value){return isFunction$1(value)?value():value}class ElementSize{#size={width:0,height:0};#observed=!1;#options;#node;#window;#width=user_derived(()=>(get$4(
+this.#subscribe)?.(),this.getSize().width));#height=user_derived(()=>(get$4(this.#subscribe)?.(),this.getSize().height));#subscribe=user_derived(()=>{const node$=get$1(this.#node);if(node$)return createSubscriber(update2=>{if(!this.#window)return;const observer=new this.#window.ResizeObserver(entries=>{this.#observed=!0;for(const entry of entries){const boxSize=this.#options.box==="content-box"?entry.contentBoxSize:entry.borderBoxSize,boxSizeArr=Array.isArray(boxSize)?boxSize:[boxSize];this.#size.
+width=boxSizeArr.reduce((acc,size2)=>Math.max(acc,size2.inlineSize),0),this.#size.height=boxSizeArr.reduce((acc,size2)=>Math.max(acc,size2.blockSize),0)}update2()});return observer.observe(node$),()=>{this.#observed=!1,observer.disconnect()}})});constructor(node2,options={box:"border-box"}){this.#window=options.window??defaultWindow$3,this.#options=options,this.#node=node2,this.#size={width:0,height:0}}calculateSize(){const element2=get$1(this.#node);if(!element2||!this.#window)return;const offsetWidth=element2.
+offsetWidth,offsetHeight=element2.offsetHeight;if(this.#options.box==="border-box")return{width:offsetWidth,height:offsetHeight};const style2=this.#window.getComputedStyle(element2),paddingWidth=parseFloat(style2.paddingLeft)+parseFloat(style2.paddingRight),paddingHeight=parseFloat(style2.paddingTop)+parseFloat(style2.paddingBottom),borderWidth=parseFloat(style2.borderLeftWidth)+parseFloat(style2.borderRightWidth),borderHeight=parseFloat(style2.borderTopWidth)+parseFloat(style2.borderBottomWidth),
+contentWidth=offsetWidth-paddingWidth-borderWidth,contentHeight=offsetHeight-paddingHeight-borderHeight;return{width:contentWidth,height:contentHeight}}getSize(){return this.#observed?this.#size:this.calculateSize()??this.#size}get current(){return get$4(this.#subscribe)?.(),this.getSize()}get width(){return get$4(this.#width)}get height(){return get$4(this.#height)}}class IsMounted{#isMounted=state$1(!1);constructor(){user_effect(()=>(untrack$1(()=>set$1(this.#isMounted,!0)),()=>{set$1(this.#isMounted,
+!1)}))}get current(){return get$4(this.#isMounted)}}class Previous{#previousCallback=()=>{};#previous=user_derived(()=>this.#previousCallback());constructor(getter,initialValue){let actualPrevious;initialValue!==void 0&&(actualPrevious=initialValue),this.#previousCallback=()=>{try{return actualPrevious}finally{actualPrevious=getter()}}}get current(){return get$4(this.#previous)}}function onDestroyEffect(fn){user_effect(()=>()=>{fn()})}function onMountEffect(fn){user_effect(()=>untrack$1(()=>fn()))}
+function afterSleep(ms,cb){return setTimeout(cb,ms)}function afterTick(fn){tick().then(fn)}const ELEMENT_NODE=1,DOCUMENT_NODE=9,DOCUMENT_FRAGMENT_NODE=11;function isHTMLElement$2(node2){return isObject$2(node2)&&node2.nodeType===ELEMENT_NODE&&typeof node2.nodeName=="string"}function isDocument(node2){return isObject$2(node2)&&node2.nodeType===DOCUMENT_NODE}function isWindow(node2){return isObject$2(node2)&&node2.constructor?.name==="VisualViewport"}function isNode$1(node2){return isObject$2(node2)&&
+node2.nodeType!==void 0}function isShadowRoot$1(node2){return isNode$1(node2)&&node2.nodeType===DOCUMENT_FRAGMENT_NODE&&"host"in node2}function contains$3(parent,child2){if(!parent||!child2||!isHTMLElement$2(parent)||!isHTMLElement$2(child2))return!1;const rootNode=child2.getRootNode?.();if(parent===child2||parent.contains(child2))return!0;if(rootNode&&isShadowRoot$1(rootNode)){let next2=child2;for(;next2;){if(parent===next2)return!0;next2=next2.parentNode||next2.host}}return!1}function getDocument$1(node2){
+return isDocument(node2)?node2:isWindow(node2)?node2.document:node2?.ownerDocument??document}function getWindow$1(node2){return isShadowRoot$1(node2)?getWindow$1(node2.host):isDocument(node2)?node2.defaultView??window:isHTMLElement$2(node2)?node2.ownerDocument?.defaultView??window:window}function getActiveElement$3(rootNode){let activeElement=rootNode.activeElement;for(;activeElement?.shadowRoot;){const el=activeElement.shadowRoot.activeElement;if(el===activeElement)break;activeElement=el}return activeElement}
+class DOMContext{element;#root=user_derived(()=>this.element.current?this.element.current.getRootNode()??document:document);get root(){return get$4(this.#root)}set root(value){set$1(this.#root,value)}constructor(element2){typeof element2=="function"?this.element=boxWith$1(element2):this.element=element2}getDocument=()=>getDocument$1(this.root);getWindow=()=>this.getDocument().defaultView??window;getActiveElement=()=>getActiveElement$3(this.root);isActiveElement=node2=>node2===this.getActiveElement();getElementById(id2){
+return this.root.getElementById(id2)}querySelector=selector=>this.root?this.root.querySelector(selector):null;querySelectorAll=selector=>this.root?this.root.querySelectorAll(selector):[];setTimeout=(callback,delay)=>this.getWindow().setTimeout(callback,delay);clearTimeout=timeoutId=>this.getWindow().clearTimeout(timeoutId)}function attachRef(ref2,onChange){return{[createAttachmentKey()]:node2=>isBox$1(ref2)?(ref2.current=node2,untrack$1(()=>onChange?.(node2)),()=>{"isConnected"in node2&&node2.isConnected||
+(ref2.current=null,onChange?.(null))}):(ref2(node2),untrack$1(()=>onChange?.(node2)),()=>{"isConnected"in node2&&node2.isConnected||(ref2(null),onChange?.(null))})}}function boolToStr(condition){return condition?"true":"false"}function boolToStrTrueOrUndef(condition){return condition?"true":void 0}function boolToEmptyStrOrUndef(condition){return condition?"":void 0}function boolToTrueOrUndef(condition){return condition?!0:void 0}function getDataOpenClosed(condition){return condition?"open":"clos\
+ed"}function getDataChecked(condition){return condition?"checked":"unchecked"}function getAriaChecked(checked,indeterminate){return indeterminate?"mixed":checked?"true":"false"}class BitsAttrs{#variant;#prefix;attrs;constructor(config2){this.#variant=config2.getVariant?config2.getVariant():null,this.#prefix=this.#variant?`data-${this.#variant}-`:`data-${config2.component}-`,this.getAttr=this.getAttr.bind(this),this.selector=this.selector.bind(this),this.attrs=Object.fromEntries(config2.parts.map(
+part=>[part,this.getAttr(part)]))}getAttr(part,variantOverride){return variantOverride?`data-${variantOverride}-${part}`:`${this.#prefix}${part}`}selector(part,variantOverride){return`[${this.getAttr(part,variantOverride)}]`}}function createBitsAttrs(config2){const bitsAttrs=new BitsAttrs(config2);return{...bitsAttrs.attrs,selector:bitsAttrs.selector,getAttr:bitsAttrs.getAttr}}const ARROW_DOWN="ArrowDown",ARROW_LEFT="ArrowLeft",ARROW_RIGHT="ArrowRight",ARROW_UP="ArrowUp",END="End",ENTER="Enter",
+ESCAPE="Escape",HOME="Home",PAGE_DOWN="PageDown",PAGE_UP="PageUp",SPACE=" ",TAB="Tab";function getElemDirection(elem){return window.getComputedStyle(elem).getPropertyValue("direction")}function getNextKey(dir="ltr",orientation="horizontal"){return{horizontal:dir==="rtl"?ARROW_LEFT:ARROW_RIGHT,vertical:ARROW_DOWN}[orientation]}function getPrevKey(dir="ltr",orientation="horizontal"){return{horizontal:dir==="rtl"?ARROW_RIGHT:ARROW_LEFT,vertical:ARROW_UP}[orientation]}function getDirectionalKeys(dir="\
+ltr",orientation="horizontal"){return["ltr","rtl"].includes(dir)||(dir="ltr"),["horizontal","vertical"].includes(orientation)||(orientation="horizontal"),{nextKey:getNextKey(dir,orientation),prevKey:getPrevKey(dir,orientation)}}const isBrowser$2=typeof document<"u",isIOS=getIsIOS();function getIsIOS(){return isBrowser$2&&window?.navigator?.userAgent&&(/iP(ad|hone|od)/.test(window.navigator.userAgent)||window?.navigator?.maxTouchPoints>2&&/iPad|Macintosh/.test(window?.navigator.userAgent))}function isHTMLElement$1(element2){
+return element2 instanceof HTMLElement}function isElement$1(element2){return element2 instanceof Element}function isElementOrSVGElement(element2){return element2 instanceof Element||element2 instanceof SVGElement}function isTouch(e){return e.pointerType==="touch"}function isFocusVisible(element2){return element2.matches(":focus-visible")}function isNotNull(value){return value!==null}function isSelectableInput(element2){return element2 instanceof HTMLInputElement&&"select"in element2}class RovingFocusGroup{#opts;#currentTabStopId=box$1(
+null);constructor(opts){this.#opts=opts}getCandidateNodes(){return this.#opts.rootNode.current?this.#opts.candidateSelector?Array.from(this.#opts.rootNode.current.querySelectorAll(this.#opts.candidateSelector)):this.#opts.candidateAttr?Array.from(this.#opts.rootNode.current.querySelectorAll(`[${this.#opts.candidateAttr}]:not([data-disabled])`)):[]:[]}focusFirstCandidate(){const items2=this.getCandidateNodes();items2.length&&items2[0]?.focus()}handleKeydown(node2,e,both=!1){const rootNode=this.#opts.
+rootNode.current;if(!rootNode||!node2)return;const items2=this.getCandidateNodes();if(!items2.length)return;const currentIndex=items2.indexOf(node2),dir=getElemDirection(rootNode),{nextKey,prevKey}=getDirectionalKeys(dir,this.#opts.orientation.current),loop2=this.#opts.loop.current,keyToIndex={[nextKey]:currentIndex+1,[prevKey]:currentIndex-1,[HOME]:0,[END]:items2.length-1};if(both){const altNextKey=nextKey===ARROW_DOWN?ARROW_RIGHT:ARROW_DOWN,altPrevKey=prevKey===ARROW_UP?ARROW_LEFT:ARROW_UP;keyToIndex[altNextKey]=
+currentIndex+1,keyToIndex[altPrevKey]=currentIndex-1}let itemIndex=keyToIndex[e.key];if(itemIndex===void 0)return;e.preventDefault(),itemIndex<0&&loop2?itemIndex=items2.length-1:itemIndex===items2.length&&loop2&&(itemIndex=0);const itemToFocus=items2[itemIndex];if(itemToFocus)return itemToFocus.focus(),this.#currentTabStopId.current=itemToFocus.id,this.#opts.onCandidateFocus?.(itemToFocus),itemToFocus}getTabIndex(node2){const items2=this.getCandidateNodes(),anyActive=this.#currentTabStopId.current!==
+null;return node2&&!anyActive&&items2[0]===node2?(this.#currentTabStopId.current=node2.id,0):node2?.id===this.#currentTabStopId.current?0:-1}setCurrentTabStopId(id2){this.#currentTabStopId.current=id2}focusCurrentTabStop(){const currentTabStopId=this.#currentTabStopId.current;if(!currentTabStopId)return;const currentTabStop=this.#opts.rootNode.current?.querySelector(`#${currentTabStopId}`);!currentTabStop||!isHTMLElement$1(currentTabStop)||currentTabStop.focus()}}class AnimationsComplete{#opts;#currentFrame=null;constructor(opts){
+this.#opts=opts,onDestroyEffect(()=>this.#cleanup())}#cleanup(){this.#currentFrame&&(window.cancelAnimationFrame(this.#currentFrame),this.#currentFrame=null)}run(fn){this.#cleanup();const node2=this.#opts.ref.current;if(node2){if(typeof node2.getAnimations!="function"){this.#executeCallback(fn);return}this.#currentFrame=window.requestAnimationFrame(()=>{const animations=node2.getAnimations();if(animations.length===0){this.#executeCallback(fn);return}Promise.allSettled(animations.map(animation=>animation.
+finished)).then(()=>{this.#executeCallback(fn)})})}}#executeCallback(fn){const execute=()=>{fn()};this.#opts.afterTick?afterTick(execute):execute()}}class PresenceManager{#opts;#enabled;#afterAnimations;#shouldRender=state$1(!1);constructor(opts){this.#opts=opts,set$1(this.#shouldRender,opts.open.current,!0),this.#enabled=opts.enabled??!0,this.#afterAnimations=new AnimationsComplete({ref:this.#opts.ref,afterTick:this.#opts.open}),watch$1(()=>this.#opts.open.current,isOpen=>{isOpen&&set$1(this.#shouldRender,
+!0),this.#enabled&&this.#afterAnimations.run(()=>{isOpen===this.#opts.open.current&&(this.#opts.open.current||set$1(this.#shouldRender,!1),this.#opts.onComplete?.())})})}get shouldRender(){return get$4(this.#shouldRender)}}function noop$1(){}function createId(prefixOrUid,uid){return`bits-${prefixOrUid}`}const dialogAttrs=createBitsAttrs({component:"dialog",parts:["content","trigger","overlay","title","description","close","cancel","action"]}),DialogRootContext=new Context$1("Dialog.Root | AlertD\
+ialog.Root");class DialogRootState{static create(opts){const parent=DialogRootContext.getOr(null);return DialogRootContext.set(new DialogRootState(opts,parent))}opts;#triggerNode=state$1(null);get triggerNode(){return get$4(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}#overlayNode=state$1(null);get overlayNode(){return get$4(this.#overlayNode)}set overlayNode(value){
+set$1(this.#overlayNode,value,!0)}#descriptionNode=state$1(null);get descriptionNode(){return get$4(this.#descriptionNode)}set descriptionNode(value){set$1(this.#descriptionNode,value,!0)}#contentId=state$1(void 0);get contentId(){return get$4(this.#contentId)}set contentId(value){set$1(this.#contentId,value,!0)}#titleId=state$1(void 0);get titleId(){return get$4(this.#titleId)}set titleId(value){set$1(this.#titleId,value,!0)}#triggerId=state$1(void 0);get triggerId(){return get$4(this.#triggerId)}set triggerId(value){
+set$1(this.#triggerId,value,!0)}#descriptionId=state$1(void 0);get descriptionId(){return get$4(this.#descriptionId)}set descriptionId(value){set$1(this.#descriptionId,value,!0)}#cancelNode=state$1(null);get cancelNode(){return get$4(this.#cancelNode)}set cancelNode(value){set$1(this.#cancelNode,value,!0)}#nestedOpenCount=state$1(0);get nestedOpenCount(){return get$4(this.#nestedOpenCount)}set nestedOpenCount(value){set$1(this.#nestedOpenCount,value,!0)}depth;parent;contentPresence;overlayPresence;constructor(opts,parent){
+this.opts=opts,this.parent=parent,this.depth=parent?parent.depth+1:0,this.handleOpen=this.handleOpen.bind(this),this.handleClose=this.handleClose.bind(this),this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,enabled:!0,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),this.overlayPresence=new PresenceManager({ref:boxWith$1(()=>this.overlayNode),open:this.opts.open,enabled:!0}),watch$1(()=>this.opts.open.current,isOpen=>{
+this.parent&&(isOpen?this.parent.incrementNested():this.parent.decrementNested())},{lazy:!0}),onDestroyEffect(()=>{this.opts.open.current&&this.parent?.decrementNested()})}handleOpen(){this.opts.open.current||(this.opts.open.current=!0)}handleClose(){this.opts.open.current&&(this.opts.open.current=!1)}getBitsAttr=part=>dialogAttrs.getAttr(part,this.opts.variant.current);incrementNested(){this.nestedOpenCount++,this.parent?.incrementNested()}decrementNested(){this.nestedOpenCount!==0&&(this.nestedOpenCount--,
+this.parent?.decrementNested())}#sharedProps=user_derived(()=>({"data-state":getDataOpenClosed(this.opts.open.current)}));get sharedProps(){return get$4(this.#sharedProps)}set sharedProps(value){set$1(this.#sharedProps,value)}}class DialogCloseState{static create(opts){return new DialogCloseState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),this.onclick=this.onclick.bind(this),this.onkeydown=this.
+onkeydown.bind(this)}onclick(e){this.opts.disabled.current||e.button>0||this.root.handleClose()}onkeydown(e){this.opts.disabled.current||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.handleClose())}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr(this.opts.variant.current)]:"",onclick:this.onclick,onkeydown:this.onkeydown,disabled:this.opts.disabled.current?!0:void 0,tabindex:0,...this.root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){
+set$1(this.#props,value)}}class DialogActionState{static create(opts){return new DialogActionState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("action")]:"",...this.root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class DialogTitleState{static create(opts){
+return new DialogTitleState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.root.titleId=this.opts.id.current,this.attachment=attachRef(this.opts.ref),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.titleId=id2})}#props=user_derived(()=>({id:this.opts.id.current,role:"heading","aria-level":this.opts.level.current,[this.root.getBitsAttr("title")]:"",...this.root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){
+set$1(this.#props,value)}}class DialogDescriptionState{static create(opts){return new DialogDescriptionState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.root.descriptionId=this.opts.id.current,this.attachment=attachRef(this.opts.ref,v=>{this.root.descriptionNode=v}),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.descriptionId=id2})}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("description")]:"",...this.
+root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class DialogContentState{static create(opts){return new DialogContentState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>{this.root.contentNode=v,this.root.contentId=v?.id})}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){
+set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:this.root.opts.variant.current==="alert-dialog"?"alertdialog":"dialog","aria-modal":"true","aria-describedby":this.root.descriptionId,"aria-labelledby":this.root.titleId,[this.root.getBitsAttr("content")]:"",style:{pointerEvents:"auto",outline:this.root.opts.variant.current==="alert-dialog"?"none":void 0,"--bits-dialog-depth":this.root.depth,"--bits-dialog-nested-count":this.root.nestedOpenCount,contain:"layou\
+t style paint"},tabindex:this.root.opts.variant.current==="alert-dialog"?-1:void 0,"data-nested-open":boolToEmptyStrOrUndef(this.root.nestedOpenCount>0),"data-nested":boolToEmptyStrOrUndef(this.root.parent!==null),...this.root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}get shouldRender(){return this.root.contentPresence.shouldRender}}class DialogOverlayState{static create(opts){return new DialogOverlayState(opts,DialogRootContext.
+get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.overlayNode=v)}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("overlay")]:"",style:{pointerEvents:"auto","--bits-dialog-depth":this.root.depth,"--bits-dialog-nes\
+ted-count":this.root.nestedOpenCount},"data-nested-open":boolToEmptyStrOrUndef(this.root.nestedOpenCount>0),"data-nested":boolToEmptyStrOrUndef(this.root.parent!==null),...this.root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}get shouldRender(){return this.root.overlayPresence.shouldRender}}class AlertDialogCancelState{static create(opts){return new AlertDialogCancelState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){
+this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.cancelNode=v),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){this.opts.disabled.current||e.button>0||this.root.handleClose()}onkeydown(e){this.opts.disabled.current||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.handleClose())}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("cancel")]:"",onclick:this.onclick,onkeydown:this.onkeydown,
+tabindex:0,...this.root.sharedProps,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}function Alert_dialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"alert-dialog"),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(
+()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_2$1u=from_html("<div><!></div>");function Dialog_title$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),level=prop($$props,"level",3,2),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","level"]);const titleState=DialogTitleState.
+create({id:boxWith$1(()=>id2()),level:boxWith$1(()=>level()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,titleState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1u();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(
+div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_2$1t=from_html("<button><!></button>");function Alert_dialog_action$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child",
+"id","ref"]);const actionState=DialogActionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,actionState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1t();attribute_effect(button,()=>({
+...get$4(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_2$1s=from_html("<button><!></button>");function Alert_dialog_cancel$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabl\
+ed",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","disabled"]);const cancelState=AlertDialogCancelState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,cancelState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.
+child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1s();attribute_effect(button,()=>({...get$4(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Portal_consumer($$anchor,$$props){var fragment=comment$2(),node2=first_child(fragment);key$1(
+node2,()=>$$props.children,$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}),append($$anchor,fragment)}const BitsConfigContext=new Context$1("BitsConfig");function getBitsConfig(){const fallback2=new BitsConfigState(null,{});return BitsConfigContext.getOr(fallback2).opts}class BitsConfigState{opts;constructor(parent,opts){const resolveConfigOption=createConfigResolver(parent,opts);this.opts={defaultPortalTo:resolveConfigOption(
+config2=>config2.defaultPortalTo),defaultLocale:resolveConfigOption(config2=>config2.defaultLocale)}}}function createConfigResolver(parent,currentOpts){return getter=>boxWith$1(()=>{const value=getter(currentOpts)?.current;if(value!==void 0)return value;if(parent!==null)return getter(parent.opts)?.current})}function createPropResolver(configOption,fallback2){return getProp=>{const config2=getBitsConfig();return boxWith$1(()=>{const propValue=getProp();if(propValue!==void 0)return propValue;const option2=configOption(
+config2).current;return option2!==void 0?option2:fallback2})}}const resolvePortalToProp=createPropResolver(config2=>config2.defaultPortalTo,"body");function Portal$2($$anchor,$$props){push$1($$props,!0);const to=resolvePortalToProp(()=>$$props.to),context=getAllContexts();let target2=user_derived(getTarget);function getTarget(){if(!isBrowser$2||$$props.disabled)return null;let localTarget=null;return typeof to.current=="string"?localTarget=document.querySelector(to.current):localTarget=to.current,
+localTarget}let instance;function unmountInstance(){instance&&(unmount(instance),instance=null)}watch$1([()=>get$4(target2),()=>$$props.disabled],([target3,disabled])=>{if(!target3||disabled){unmountInstance();return}return instance=mount(Portal_consumer,{target:target3,props:{children:$$props.children},context}),()=>{unmountInstance()}});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.
+children??noop$3),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.disabled&&$$render(consequent)})}append($$anchor,fragment),pop()}class CustomEventDispatcher{eventName;options;constructor(eventName,options={bubbles:!0,cancelable:!0}){this.eventName=eventName,this.options=options}createEvent(detail){return new CustomEvent(this.eventName,{...this.options,detail})}dispatch(element2,detail){const event2=this.createEvent(detail);return element2.dispatchEvent(event2),event2}listen(element2,callback,options){
+const handler=event2=>{callback(event2)};return on(element2,this.eventName,handler,options)}}function debounce$1(fn,wait=500){let timeout=null;const debounced=(...args)=>{timeout!==null&&clearTimeout(timeout),timeout=setTimeout(()=>{fn(...args)},wait)};return debounced.destroy=()=>{timeout!==null&&(clearTimeout(timeout),timeout=null)},debounced}function isOrContainsTarget(node2,target2){return node2===target2||node2.contains(target2)}function getOwnerDocument(el){return el?.ownerDocument??document}
+function isClickTrulyOutside(event2,contentNode){const{clientX,clientY}=event2,rect=contentNode.getBoundingClientRect();return clientX<rect.left||clientX>rect.right||clientY<rect.top||clientY>rect.bottom}const SELECTION_KEYS=[ENTER,SPACE],FIRST_KEYS$1=[ARROW_DOWN,PAGE_UP,HOME],LAST_KEYS$1=[ARROW_UP,PAGE_DOWN,END],FIRST_LAST_KEYS$1=[...FIRST_KEYS$1,...LAST_KEYS$1],SUB_OPEN_KEYS={ltr:[...SELECTION_KEYS,ARROW_RIGHT],rtl:[...SELECTION_KEYS,ARROW_LEFT]},SUB_CLOSE_KEYS={ltr:[ARROW_LEFT],rtl:[ARROW_RIGHT]};
+function isMouseEvent(event2){return event2.pointerType==="mouse"}function focus(element2,{select=!1}={}){if(!element2||!element2.focus)return;const doc=getDocument$1(element2);if(doc.activeElement===element2)return;const previouslyFocusedElement=doc.activeElement;element2.focus({preventScroll:!0}),element2!==previouslyFocusedElement&&isSelectableInput(element2)&&select&&element2.select()}function focusFirst(candidates,{select=!1}={},getActiveElement2){const previouslyFocusedElement=getActiveElement2();
+for(const candidate of candidates)if(focus(candidate,{select}),getActiveElement2()!==previouslyFocusedElement)return!0}let isUsingKeyboard=state$1(!1);class IsUsingKeyboard{static _refs=0;static _cleanup;constructor(){user_effect(()=>(IsUsingKeyboard._refs===0&&(IsUsingKeyboard._cleanup=effect_root(()=>{const callbacksToDispose=[],handlePointer=_=>{set$1(isUsingKeyboard,!1)},handleKeydown=_=>{set$1(isUsingKeyboard,!0)};return callbacksToDispose.push(on(document,"pointerdown",handlePointer,{capture:!0}),
+on(document,"pointermove",handlePointer,{capture:!0}),on(document,"keydown",handleKeydown,{capture:!0})),executeCallbacks(...callbacksToDispose)})),IsUsingKeyboard._refs++,()=>{IsUsingKeyboard._refs--,IsUsingKeyboard._refs===0&&(set$1(isUsingKeyboard,!1),IsUsingKeyboard._cleanup?.())}))}get current(){return get$4(isUsingKeyboard)}set current(value){set$1(isUsingKeyboard,value,!0)}}var candidateSelectors=["input:not([inert])","select:not([inert])","textarea:not([inert])","a[href]:not([inert])","b\
+utton:not([inert])","[tabindex]:not(slot):not([inert])","audio[controls]:not([inert])","video[controls]:not([inert])",'[contenteditable]:not([contenteditable="false"]):not([inert])',"details>summary:first-of-type:not([inert])","details:not([inert])"],candidateSelector=candidateSelectors.join(","),NoElement=typeof Element>"u",matches=NoElement?function(){}:Element.prototype.matches||Element.prototype.msMatchesSelector||Element.prototype.webkitMatchesSelector,getRootNode=!NoElement&&Element.prototype.
+getRootNode?function(element2){var _element$getRootNode;return element2==null||(_element$getRootNode=element2.getRootNode)===null||_element$getRootNode===void 0?void 0:_element$getRootNode.call(element2)}:function(element2){return element2?.ownerDocument},isInert=function isInert2(node2,lookUp){var _node$getAttribute;lookUp===void 0&&(lookUp=!0);var inertAtt=node2==null||(_node$getAttribute=node2.getAttribute)===null||_node$getAttribute===void 0?void 0:_node$getAttribute.call(node2,"inert"),inert=inertAtt===
+""||inertAtt==="true",result=inert||lookUp&&node2&&isInert2(node2.parentNode);return result},isContentEditable=function(node2){var _node$getAttribute2,attValue=node2==null||(_node$getAttribute2=node2.getAttribute)===null||_node$getAttribute2===void 0?void 0:_node$getAttribute2.call(node2,"contenteditable");return attValue===""||attValue==="true"},getCandidates=function(el,includeContainer,filter){if(isInert(el))return[];var candidates=Array.prototype.slice.apply(el.querySelectorAll(candidateSelector));
+return includeContainer&&matches.call(el,candidateSelector)&&candidates.unshift(el),candidates=candidates.filter(filter),candidates},getCandidatesIteratively=function getCandidatesIteratively2(elements,includeContainer,options){for(var candidates=[],elementsToCheck=Array.from(elements);elementsToCheck.length;){var element2=elementsToCheck.shift();if(!isInert(element2,!1))if(element2.tagName==="SLOT"){var assigned=element2.assignedElements(),content2=assigned.length?assigned:element2.children,nestedCandidates=getCandidatesIteratively2(
+content2,!0,options);options.flatten?candidates.push.apply(candidates,nestedCandidates):candidates.push({scopeParent:element2,candidates:nestedCandidates})}else{var validCandidate=matches.call(element2,candidateSelector);validCandidate&&options.filter(element2)&&(includeContainer||!elements.includes(element2))&&candidates.push(element2);var shadowRoot=element2.shadowRoot||typeof options.getShadowRoot=="function"&&options.getShadowRoot(element2),validShadowRoot=!isInert(shadowRoot,!1)&&(!options.
+shadowRootFilter||options.shadowRootFilter(element2));if(shadowRoot&&validShadowRoot){var _nestedCandidates=getCandidatesIteratively2(shadowRoot===!0?element2.children:shadowRoot.children,!0,options);options.flatten?candidates.push.apply(candidates,_nestedCandidates):candidates.push({scopeParent:element2,candidates:_nestedCandidates})}else elementsToCheck.unshift.apply(elementsToCheck,element2.children)}}return candidates},hasTabIndex=function(node2){return!isNaN(parseInt(node2.getAttribute("tab\
+index"),10))},getTabIndex=function(node2){if(!node2)throw new Error("No node provided");return node2.tabIndex<0&&(/^(AUDIO|VIDEO|DETAILS)$/.test(node2.tagName)||isContentEditable(node2))&&!hasTabIndex(node2)?0:node2.tabIndex},getSortOrderTabIndex=function(node2,isScope){var tabIndex=getTabIndex(node2);return tabIndex<0&&isScope&&!hasTabIndex(node2)?0:tabIndex},sortOrderedTabbables=function(a,b){return a.tabIndex===b.tabIndex?a.documentOrder-b.documentOrder:a.tabIndex-b.tabIndex},isInput=function(node2){
+return node2.tagName==="INPUT"},isHiddenInput=function(node2){return isInput(node2)&&node2.type==="hidden"},isDetailsWithSummary=function(node2){var r2=node2.tagName==="DETAILS"&&Array.prototype.slice.apply(node2.children).some(function(child2){return child2.tagName==="SUMMARY"});return r2},getCheckedRadio=function(nodes2,form){for(var i=0;i<nodes2.length;i++)if(nodes2[i].checked&&nodes2[i].form===form)return nodes2[i]},isTabbableRadio=function(node2){if(!node2.name)return!0;var radioScope=node2.
+form||getRootNode(node2),queryRadios=function(name){return radioScope.querySelectorAll('input[type="radio"][name="'+name+'"]')},radioSet;if(typeof window<"u"&&typeof window.CSS<"u"&&typeof window.CSS.escape=="function")radioSet=queryRadios(window.CSS.escape(node2.name));else try{radioSet=queryRadios(node2.name)}catch(err){return console.error("Looks like you have a radio button with a name attribute containing invalid CSS selector characters and need the CSS.escape polyfill: %s",err.message),!1}
+var checked=getCheckedRadio(radioSet,node2.form);return!checked||checked===node2},isRadio=function(node2){return isInput(node2)&&node2.type==="radio"},isNonTabbableRadio=function(node2){return isRadio(node2)&&!isTabbableRadio(node2)},isNodeAttached=function(node2){var _nodeRoot,nodeRoot=node2&&getRootNode(node2),nodeRootHost=(_nodeRoot=nodeRoot)===null||_nodeRoot===void 0?void 0:_nodeRoot.host,attached=!1;if(nodeRoot&&nodeRoot!==node2){var _nodeRootHost,_nodeRootHost$ownerDo,_node$ownerDocument;
+for(attached=!!((_nodeRootHost=nodeRootHost)!==null&&_nodeRootHost!==void 0&&(_nodeRootHost$ownerDo=_nodeRootHost.ownerDocument)!==null&&_nodeRootHost$ownerDo!==void 0&&_nodeRootHost$ownerDo.contains(nodeRootHost)||node2!=null&&(_node$ownerDocument=node2.ownerDocument)!==null&&_node$ownerDocument!==void 0&&_node$ownerDocument.contains(node2));!attached&&nodeRootHost;){var _nodeRoot2,_nodeRootHost2,_nodeRootHost2$ownerD;nodeRoot=getRootNode(nodeRootHost),nodeRootHost=(_nodeRoot2=nodeRoot)===null||
+_nodeRoot2===void 0?void 0:_nodeRoot2.host,attached=!!((_nodeRootHost2=nodeRootHost)!==null&&_nodeRootHost2!==void 0&&(_nodeRootHost2$ownerD=_nodeRootHost2.ownerDocument)!==null&&_nodeRootHost2$ownerD!==void 0&&_nodeRootHost2$ownerD.contains(nodeRootHost))}}return attached},isZeroArea=function(node2){var _node$getBoundingClie=node2.getBoundingClientRect(),width=_node$getBoundingClie.width,height=_node$getBoundingClie.height;return width===0&&height===0},isHidden=function(node2,_ref){var displayCheck=_ref.
+displayCheck,getShadowRoot=_ref.getShadowRoot;if(getComputedStyle(node2).visibility==="hidden")return!0;var isDirectSummary=matches.call(node2,"details>summary:first-of-type"),nodeUnderDetails=isDirectSummary?node2.parentElement:node2;if(matches.call(nodeUnderDetails,"details:not([open]) *"))return!0;if(!displayCheck||displayCheck==="full"||displayCheck==="legacy-full"){if(typeof getShadowRoot=="function"){for(var originalNode=node2;node2;){var parentElement=node2.parentElement,rootNode=getRootNode(
+node2);if(parentElement&&!parentElement.shadowRoot&&getShadowRoot(parentElement)===!0)return isZeroArea(node2);node2.assignedSlot?node2=node2.assignedSlot:!parentElement&&rootNode!==node2.ownerDocument?node2=rootNode.host:node2=parentElement}node2=originalNode}if(isNodeAttached(node2))return!node2.getClientRects().length;if(displayCheck!=="legacy-full")return!0}else if(displayCheck==="non-zero-area")return isZeroArea(node2);return!1},isDisabledFromFieldset=function(node2){if(/^(INPUT|BUTTON|SELECT|TEXTAREA)$/.
+test(node2.tagName))for(var parentNode=node2.parentElement;parentNode;){if(parentNode.tagName==="FIELDSET"&&parentNode.disabled){for(var i=0;i<parentNode.children.length;i++){var child2=parentNode.children.item(i);if(child2.tagName==="LEGEND")return matches.call(parentNode,"fieldset[disabled] *")?!0:!child2.contains(node2)}return!0}parentNode=parentNode.parentElement}return!1},isNodeMatchingSelectorFocusable=function(options,node2){return!(node2.disabled||isInert(node2)||isHiddenInput(node2)||isHidden(
+node2,options)||isDetailsWithSummary(node2)||isDisabledFromFieldset(node2))},isNodeMatchingSelectorTabbable=function(options,node2){return!(isNonTabbableRadio(node2)||getTabIndex(node2)<0||!isNodeMatchingSelectorFocusable(options,node2))},isValidShadowRootTabbable=function(shadowHostNode){var tabIndex=parseInt(shadowHostNode.getAttribute("tabindex"),10);return!!(isNaN(tabIndex)||tabIndex>=0)},sortByOrder=function sortByOrder2(candidates){var regularTabbables=[],orderedTabbables=[];return candidates.
+forEach(function(item,i){var isScope=!!item.scopeParent,element2=isScope?item.scopeParent:item,candidateTabindex=getSortOrderTabIndex(element2,isScope),elements=isScope?sortByOrder2(item.candidates):element2;candidateTabindex===0?isScope?regularTabbables.push.apply(regularTabbables,elements):regularTabbables.push(element2):orderedTabbables.push({documentOrder:i,tabIndex:candidateTabindex,item,isScope,content:elements})}),orderedTabbables.sort(sortOrderedTabbables).reduce(function(acc,sortable){return sortable.
+isScope?acc.push.apply(acc,sortable.content):acc.push(sortable.content),acc},[]).concat(regularTabbables)},tabbable=function(container2,options){options=options||{};var candidates;return options.getShadowRoot?candidates=getCandidatesIteratively([container2],options.includeContainer,{filter:isNodeMatchingSelectorTabbable.bind(null,options),flatten:!1,getShadowRoot:options.getShadowRoot,shadowRootFilter:isValidShadowRootTabbable}):candidates=getCandidates(container2,options.includeContainer,isNodeMatchingSelectorTabbable.
+bind(null,options)),sortByOrder(candidates)},focusable=function(container2,options){options=options||{};var candidates;return options.getShadowRoot?candidates=getCandidatesIteratively([container2],options.includeContainer,{filter:isNodeMatchingSelectorFocusable.bind(null,options),flatten:!0,getShadowRoot:options.getShadowRoot}):candidates=getCandidates(container2,options.includeContainer,isNodeMatchingSelectorFocusable.bind(null,options)),candidates},isTabbable=function(node2,options){if(options=
+options||{},!node2)throw new Error("No node provided");return matches.call(node2,candidateSelector)===!1?!1:isNodeMatchingSelectorTabbable(options,node2)},focusableCandidateSelector=candidateSelectors.concat("iframe").join(","),isFocusable=function(node2,options){if(options=options||{},!node2)throw new Error("No node provided");return matches.call(node2,focusableCandidateSelector)===!1?!1:isNodeMatchingSelectorFocusable(options,node2)};function getTabbableOptions(){return{getShadowRoot:!0,displayCheck:typeof ResizeObserver==
+"function"&&ResizeObserver.toString().includes("[native code]")?"full":"none"}}function getTabbableFrom(currentNode,direction){if(!isTabbable(currentNode,getTabbableOptions()))return getTabbableFromFocusable(currentNode,direction);const doc=getDocument$1(currentNode),allTabbable=tabbable(doc.body,getTabbableOptions());direction==="prev"&&allTabbable.reverse();const activeIndex=allTabbable.indexOf(currentNode);return activeIndex===-1?doc.body:allTabbable.slice(activeIndex+1)[0]}function getTabbableFromFocusable(currentNode,direction){
+const doc=getDocument$1(currentNode);if(!isFocusable(currentNode,getTabbableOptions()))return doc.body;const allFocusable=focusable(doc.body,getTabbableOptions());direction==="prev"&&allFocusable.reverse();const activeIndex=allFocusable.indexOf(currentNode);return activeIndex===-1?doc.body:allFocusable.slice(activeIndex+1).find(node2=>isTabbable(node2,getTabbableOptions()))??doc.body}function next(array2,index2,loop2=!0){if(!(array2.length===0||index2<0||index2>=array2.length))return array2.length===
+1&&index2===0?array2[0]:index2===array2.length-1?loop2?array2[0]:void 0:array2[index2+1]}function prev(array2,index2,loop2=!0){if(!(array2.length===0||index2<0||index2>=array2.length))return array2.length===1&&index2===0?array2[0]:index2===0?loop2?array2[array2.length-1]:void 0:array2[index2-1]}function forward(array2,index2,increment2,loop2=!0){if(array2.length===0||index2<0||index2>=array2.length)return;let targetIndex=index2+increment2;return loop2?targetIndex=(targetIndex%array2.length+array2.
+length)%array2.length:targetIndex=Math.max(0,Math.min(targetIndex,array2.length-1)),array2[targetIndex]}function backward(array2,index2,decrement,loop2=!0){if(array2.length===0||index2<0||index2>=array2.length)return;let targetIndex=index2-decrement;return loop2?targetIndex=(targetIndex%array2.length+array2.length)%array2.length:targetIndex=Math.max(0,Math.min(targetIndex,array2.length-1)),array2[targetIndex]}function getNextMatch(values,search2,currentMatch){const lowerSearch=search2.toLowerCase();
+if(lowerSearch.endsWith(" ")){const searchWithoutSpace=lowerSearch.slice(0,-1);if(values.filter(value=>value.toLowerCase().startsWith(searchWithoutSpace)).length<=1)return getNextMatch(values,searchWithoutSpace,currentMatch);const currentMatchLowercase=currentMatch?.toLowerCase();if(currentMatchLowercase&&currentMatchLowercase.startsWith(searchWithoutSpace)&&currentMatchLowercase.charAt(searchWithoutSpace.length)===" "&&search2.trim()===searchWithoutSpace)return currentMatch;const spacedMatches=values.
+filter(value=>value.toLowerCase().startsWith(lowerSearch));if(spacedMatches.length>0){const currentMatchIndex2=currentMatch?values.indexOf(currentMatch):-1;return wrapArray(spacedMatches,Math.max(currentMatchIndex2,0)).find(match=>match!==currentMatch)||currentMatch}}const normalizedSearch=search2.length>1&&Array.from(search2).every(char=>char===search2[0])?search2[0]:search2,normalizedLowerSearch=normalizedSearch.toLowerCase(),currentMatchIndex=currentMatch?values.indexOf(currentMatch):-1;let wrappedValues=wrapArray(
+values,Math.max(currentMatchIndex,0));normalizedSearch.length===1&&(wrappedValues=wrappedValues.filter(v=>v!==currentMatch));const nextMatch=wrappedValues.find(value=>value?.toLowerCase().startsWith(normalizedLowerSearch));return nextMatch!==currentMatch?nextMatch:void 0}function wrapArray(array2,startIndex){return array2.map((_,index2)=>array2[(startIndex+index2)%array2.length])}const defaultOptions={afterMs:1e4,onChange:noop$1};function boxAutoReset(defaultValue,options){const{afterMs,onChange,
+getWindow:getWindow2}={...defaultOptions,...options};let timeout=null,value=state$1(proxy(defaultValue));function resetAfter(){return getWindow2().setTimeout(()=>{set$1(value,defaultValue,!0),onChange?.(defaultValue)},afterMs)}return user_effect(()=>()=>{timeout&&getWindow2().clearTimeout(timeout)}),boxWith$1(()=>get$4(value),v=>{set$1(value,v,!0),onChange?.(v),timeout&&getWindow2().clearTimeout(timeout),timeout=resetAfter()})}class DOMTypeahead{#opts;#search;#onMatch=user_derived(()=>this.#opts.
+onMatch?this.#opts.onMatch:node2=>node2.focus());#getCurrentItem=user_derived(()=>this.#opts.getCurrentItem?this.#opts.getCurrentItem:this.#opts.getActiveElement);constructor(opts){this.#opts=opts,this.#search=boxAutoReset("",{afterMs:1e3,getWindow:opts.getWindow}),this.handleTypeaheadSearch=this.handleTypeaheadSearch.bind(this),this.resetTypeahead=this.resetTypeahead.bind(this)}handleTypeaheadSearch(key2,candidates){if(!candidates.length)return;this.#search.current=this.#search.current+key2;const currentItem=get$4(
+this.#getCurrentItem)(),currentMatch=candidates.find(item=>item===currentItem)?.textContent?.trim()??"",values=candidates.map(item=>item.textContent?.trim()??""),nextMatch=getNextMatch(values,this.#search.current,currentMatch),newItem=candidates.find(item=>item.textContent?.trim()===nextMatch);return newItem&&get$4(this.#onMatch)(newItem),newItem}resetTypeahead(){this.#search.current=""}get search(){return this.#search.current}}class GraceArea{#opts;#enabled;#isPointerInTransit;#pointerGraceArea=state$1(
+null);constructor(opts){this.#opts=opts,this.#enabled=user_derived(()=>this.#opts.enabled()),this.#isPointerInTransit=boxAutoReset(!1,{afterMs:opts.transitTimeout??300,onChange:value=>{get$4(this.#enabled)&&this.#opts.setIsPointerInTransit?.(value)},getWindow:()=>getWindow$1(this.#opts.triggerNode())}),watch$1([opts.triggerNode,opts.contentNode,opts.enabled],([triggerNode,contentNode,enabled])=>{if(!triggerNode||!contentNode||!enabled)return;const handleTriggerLeave=e=>{this.#createGraceArea(e,contentNode)},
+handleContentLeave=e=>{this.#createGraceArea(e,triggerNode)};return executeCallbacks(on(triggerNode,"pointerleave",handleTriggerLeave),on(contentNode,"pointerleave",handleContentLeave))}),watch$1(()=>get$4(this.#pointerGraceArea),()=>{const handleTrackPointerGrace=e=>{if(!get$4(this.#pointerGraceArea))return;const target2=e.target;if(!isElement$1(target2))return;const pointerPosition={x:e.clientX,y:e.clientY},hasEnteredTarget=opts.triggerNode()?.contains(target2)||opts.contentNode()?.contains(target2),
+isPointerOutsideGraceArea=!isPointInPolygon$1(pointerPosition,get$4(this.#pointerGraceArea));hasEnteredTarget?this.#removeGraceArea():isPointerOutsideGraceArea&&(this.#removeGraceArea(),opts.onPointerExit())},doc=getDocument$1(opts.triggerNode()??opts.contentNode());if(doc)return on(doc,"pointermove",handleTrackPointerGrace)})}#removeGraceArea(){set$1(this.#pointerGraceArea,null),this.#isPointerInTransit.current=!1}#createGraceArea(e,hoverTarget){const currentTarget=e.currentTarget;if(!isHTMLElement$1(
+currentTarget))return;const exitPoint={x:e.clientX,y:e.clientY},exitSide=getExitSideFromRect(exitPoint,currentTarget.getBoundingClientRect()),paddedExitPoints=getPaddedExitPoints(exitPoint,exitSide),hoverTargetPoints=getPointsFromRect(hoverTarget.getBoundingClientRect()),graceArea=getHull([...paddedExitPoints,...hoverTargetPoints]);set$1(this.#pointerGraceArea,graceArea,!0),this.#isPointerInTransit.current=!0}}function getExitSideFromRect(point2,rect){const top=Math.abs(rect.top-point2.y),bottom=Math.
+abs(rect.bottom-point2.y),right=Math.abs(rect.right-point2.x),left=Math.abs(rect.left-point2.x);switch(Math.min(top,bottom,right,left)){case left:return"left";case right:return"right";case top:return"top";case bottom:return"bottom";default:throw new Error("unreachable")}}function getPaddedExitPoints(exitPoint,exitSide,padding=5){const tipPadding=padding*1.5;switch(exitSide){case"top":return[{x:exitPoint.x-padding,y:exitPoint.y+padding},{x:exitPoint.x,y:exitPoint.y-tipPadding},{x:exitPoint.x+padding,
+y:exitPoint.y+padding}];case"bottom":return[{x:exitPoint.x-padding,y:exitPoint.y-padding},{x:exitPoint.x,y:exitPoint.y+tipPadding},{x:exitPoint.x+padding,y:exitPoint.y-padding}];case"left":return[{x:exitPoint.x+padding,y:exitPoint.y-padding},{x:exitPoint.x-tipPadding,y:exitPoint.y},{x:exitPoint.x+padding,y:exitPoint.y+padding}];case"right":return[{x:exitPoint.x-padding,y:exitPoint.y-padding},{x:exitPoint.x+tipPadding,y:exitPoint.y},{x:exitPoint.x-padding,y:exitPoint.y+padding}]}}function getPointsFromRect(rect){
+const{top,right,bottom,left}=rect;return[{x:left,y:top},{x:right,y:top},{x:right,y:bottom},{x:left,y:bottom}]}function isPointInPolygon$1(point2,polygon){const{x,y}=point2;let inside=!1;for(let i=0,j=polygon.length-1;i<polygon.length;j=i++){const xi=polygon[i].x,yi=polygon[i].y,xj=polygon[j].x,yj=polygon[j].y;yi>y!=yj>y&&x<(xj-xi)*(y-yi)/(yj-yi)+xi&&(inside=!inside)}return inside}function getHull(points){const newPoints=points.slice();return newPoints.sort((a,b)=>a.x<b.x?-1:a.x>b.x?1:a.y<b.y?-1:
+a.y>b.y?1:0),getHullPresorted(newPoints)}function getHullPresorted(points){if(points.length<=1)return points.slice();const upperHull=[];for(let i=0;i<points.length;i++){const p2=points[i];for(;upperHull.length>=2;){const q2=upperHull[upperHull.length-1],r2=upperHull[upperHull.length-2];if((q2.x-r2.x)*(p2.y-r2.y)>=(q2.y-r2.y)*(p2.x-r2.x))upperHull.pop();else break}upperHull.push(p2)}upperHull.pop();const lowerHull=[];for(let i=points.length-1;i>=0;i--){const p2=points[i];for(;lowerHull.length>=2;){
+const q2=lowerHull[lowerHull.length-1],r2=lowerHull[lowerHull.length-2];if((q2.x-r2.x)*(p2.y-r2.y)>=(q2.y-r2.y)*(p2.x-r2.x))lowerHull.pop();else break}lowerHull.push(p2)}return lowerHull.pop(),upperHull.length===1&&lowerHull.length===1&&upperHull[0].x===lowerHull[0].x&&upperHull[0].y===lowerHull[0].y?upperHull:upperHull.concat(lowerHull)}const CONTEXT_MENU_TRIGGER_ATTR="data-context-menu-trigger",CONTEXT_MENU_CONTENT_ATTR="data-context-menu-content",MenuRootContext=new Context$1("Menu.Root"),MenuMenuContext=new Context$1(
+"Menu.Root | Menu.Sub"),MenuContentContext=new Context$1("Menu.Content"),MenuOpenEvent=new CustomEventDispatcher("bitsmenuopen",{bubbles:!1,cancelable:!0}),menuAttrs=createBitsAttrs({component:"menu",parts:["trigger","content","sub-trigger","item","group","group-heading","checkbox-group","checkbox-item","radio-group","radio-item","separator","sub-content","arrow"]});class MenuRootState{static create(opts){const root2=new MenuRootState(opts);return MenuRootContext.set(root2)}opts;isUsingKeyboard=new IsUsingKeyboard;#ignoreCloseAutoFocus=state$1(
+!1);get ignoreCloseAutoFocus(){return get$4(this.#ignoreCloseAutoFocus)}set ignoreCloseAutoFocus(value){set$1(this.#ignoreCloseAutoFocus,value,!0)}#isPointerInTransit=state$1(!1);get isPointerInTransit(){return get$4(this.#isPointerInTransit)}set isPointerInTransit(value){set$1(this.#isPointerInTransit,value,!0)}constructor(opts){this.opts=opts}getBitsAttr=part=>menuAttrs.getAttr(part,this.opts.variant.current)}class MenuMenuState{static create(opts,root2){return MenuMenuContext.set(new MenuMenuState(
+opts,root2,null))}opts;root;parentMenu;contentId=boxWith$1(()=>"");#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){return get$4(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}constructor(opts,root2,parentMenu){this.opts=opts,this.root=root2,this.parentMenu=parentMenu,this.contentPresence=new PresenceManager({ref:boxWith$1(
+()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),parentMenu&&watch$1(()=>parentMenu.opts.open.current,()=>{parentMenu.opts.open.current||(this.opts.open.current=!1)})}toggleOpen(){this.opts.open.current=!this.opts.open.current}onOpen(){this.opts.open.current=!0}onClose(){this.opts.open.current=!1}}class MenuContentState{static create(opts){return MenuContentContext.set(new MenuContentState(opts,MenuMenuContext.get()))}opts;parentMenu;rovingFocusGroup;domContext;attachment;#search=state$1(
+"");get search(){return get$4(this.#search)}set search(value){set$1(this.#search,value,!0)}#timer=0;#handleTypeaheadSearch;#mounted=state$1(!1);get mounted(){return get$4(this.#mounted)}set mounted(value){set$1(this.#mounted,value,!0)}#isSub;constructor(opts,parentMenu){this.opts=opts,this.parentMenu=parentMenu,this.domContext=new DOMContext(opts.ref),this.attachment=attachRef(this.opts.ref,v=>{this.parentMenu.contentNode!==v&&(this.parentMenu.contentNode=v)}),parentMenu.contentId=opts.id,this.#isSub=
+opts.isSub??!1,this.onkeydown=this.onkeydown.bind(this),this.onblur=this.onblur.bind(this),this.onfocus=this.onfocus.bind(this),this.handleInteractOutside=this.handleInteractOutside.bind(this),new GraceArea({contentNode:()=>this.parentMenu.contentNode,triggerNode:()=>this.parentMenu.triggerNode,enabled:()=>this.parentMenu.opts.open.current&&!!this.parentMenu.triggerNode?.hasAttribute(this.parentMenu.root.getBitsAttr("sub-trigger")),onPointerExit:()=>{this.parentMenu.opts.open.current=!1},setIsPointerInTransit:value=>{
+this.parentMenu.root.isPointerInTransit=value}}),this.#handleTypeaheadSearch=new DOMTypeahead({getActiveElement:()=>this.domContext.getActiveElement(),getWindow:()=>this.domContext.getWindow()}).handleTypeaheadSearch,this.rovingFocusGroup=new RovingFocusGroup({rootNode:boxWith$1(()=>this.parentMenu.contentNode),candidateAttr:this.parentMenu.root.getBitsAttr("item"),loop:this.opts.loop,orientation:boxWith$1(()=>"vertical")}),watch$1(()=>this.parentMenu.contentNode,contentNode=>{if(!contentNode)return;
+const handler=()=>{afterTick(()=>{this.parentMenu.root.isUsingKeyboard.current&&this.rovingFocusGroup.focusFirstCandidate()})};return MenuOpenEvent.listen(contentNode,handler)}),user_effect(()=>{this.parentMenu.opts.open.current||this.domContext.getWindow().clearTimeout(this.#timer)})}#getCandidateNodes(){const node2=this.parentMenu.contentNode;return node2?Array.from(node2.querySelectorAll(`[${this.parentMenu.root.getBitsAttr("item")}]:not([data-disabled])`)):[]}#isPointerMovingToSubmenu(){return this.
+parentMenu.root.isPointerInTransit}onCloseAutoFocus=e=>{this.opts.onCloseAutoFocus.current?.(e),!(e.defaultPrevented||this.#isSub)&&this.parentMenu.triggerNode&&isTabbable(this.parentMenu.triggerNode)&&(e.preventDefault(),this.parentMenu.triggerNode.focus())};handleTabKeyDown(e){let rootMenu=this.parentMenu;for(;rootMenu.parentMenu!==null;)rootMenu=rootMenu.parentMenu;if(!rootMenu.triggerNode)return;e.preventDefault();const nodeToFocus=getTabbableFrom(rootMenu.triggerNode,e.shiftKey?"prev":"next");
+nodeToFocus?(this.parentMenu.root.ignoreCloseAutoFocus=!0,rootMenu.onClose(),afterTick(()=>{nodeToFocus.focus(),afterTick(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})})):this.domContext.getDocument().body.focus()}onkeydown(e){if(e.defaultPrevented)return;if(e.key===TAB){this.handleTabKeyDown(e);return}const target2=e.target,currentTarget=e.currentTarget;if(!isHTMLElement$1(target2)||!isHTMLElement$1(currentTarget))return;const isKeydownInside=target2.closest(`[${this.parentMenu.root.getBitsAttr(
+"content")}]`)?.id===this.parentMenu.contentId.current,isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1;if(this.rovingFocusGroup.handleKeydown(target2,e)||e.code==="Space")return;const candidateNodes=this.#getCandidateNodes();isKeydownInside&&!isModifierKey&&isCharacterKey&&this.#handleTypeaheadSearch(e.key,candidateNodes),e.target?.id===this.parentMenu.contentId.current&&FIRST_LAST_KEYS$1.includes(e.key)&&(e.preventDefault(),LAST_KEYS$1.includes(e.key)&&candidateNodes.
+reverse(),focusFirst(candidateNodes,{select:!1},()=>this.domContext.getActiveElement()))}onblur(e){isElement$1(e.currentTarget)&&isElement$1(e.target)&&(e.currentTarget.contains?.(e.target)||(this.domContext.getWindow().clearTimeout(this.#timer),this.search=""))}onfocus(_){this.parentMenu.root.isUsingKeyboard.current&&afterTick(()=>this.rovingFocusGroup.focusFirstCandidate())}onItemEnter(){return this.#isPointerMovingToSubmenu()}onItemLeave(e){if(e.currentTarget.hasAttribute(this.parentMenu.root.
+getBitsAttr("sub-trigger"))||this.#isPointerMovingToSubmenu()||this.parentMenu.root.isUsingKeyboard.current)return;this.parentMenu.contentNode?.focus(),this.rovingFocusGroup.setCurrentTabStopId("")}onTriggerLeave(){return!!this.#isPointerMovingToSubmenu()}handleInteractOutside(e){if(!isElementOrSVGElement(e.target))return;const triggerId=this.parentMenu.triggerNode?.id;if(e.target.id===triggerId){e.preventDefault();return}e.target.closest(`#${triggerId}`)&&e.preventDefault()}get shouldRender(){return this.
+parentMenu.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.parentMenu.opts.open.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"menu","aria-orientation":"vertical",[this.parentMenu.root.getBitsAttr("content")]:"","data-state":getDataOpenClosed(this.parentMenu.opts.open.current),onkeydown:this.onkeydown,onblur:this.onblur,onfocus:this.onfocus,dir:this.
+parentMenu.root.opts.dir.current,style:{pointerEvents:"auto",contain:"layout style paint"},...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onCloseAutoFocus:e=>this.onCloseAutoFocus(e)}}class MenuItemSharedState{opts;content;attachment;#isFocused=state$1(!1);constructor(opts,content2){this.opts=opts,this.content=content2,this.attachment=attachRef(this.opts.ref),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.
+onpointerleave.bind(this),this.onfocus=this.onfocus.bind(this),this.onblur=this.onblur.bind(this)}onpointermove(e){if(!e.defaultPrevented&&isMouseEvent(e))if(this.opts.disabled.current)this.content.onItemLeave(e);else{if(this.content.onItemEnter())return;const item=e.currentTarget;if(!isHTMLElement$1(item))return;item.focus()}}onpointerleave(e){e.defaultPrevented||isMouseEvent(e)&&this.content.onItemLeave(e)}onfocus(e){afterTick(()=>{e.defaultPrevented||this.opts.disabled.current||set$1(this.#isFocused,
+!0)})}onblur(e){afterTick(()=>{e.defaultPrevented||set$1(this.#isFocused,!1)})}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,role:"menuitem","aria-disabled":boolToStr(this.opts.disabled.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":get$4(this.#isFocused)?"":void 0,[this.content.parentMenu.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onfocus:this.onfocus,onblur:this.onblur,...this.attachment}));get props(){
+return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class MenuItemState{static create(opts){const item=new MenuItemSharedState(opts,MenuContentContext.get());return new MenuItemState(opts,item)}opts;item;root;#isPointerDown=!1;constructor(opts,item){this.opts=opts,this.item=item,this.root=item.content.parentMenu.root,this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(
+this)}#handleSelect(){if(this.item.opts.disabled.current)return;const selectEvent=new CustomEvent("menuitemselect",{bubbles:!0,cancelable:!0});if(this.opts.onSelect.current(selectEvent),selectEvent.defaultPrevented){this.item.content.parentMenu.root.isUsingKeyboard.current=!1;return}this.opts.closeOnSelect.current&&this.item.content.parentMenu.root.opts.onClose()}onkeydown(e){const isTypingAhead=this.item.content.search!=="";if(!(this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE)&&SELECTION_KEYS.
+includes(e.key)){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget.click(),e.preventDefault()}}onclick(_){this.item.opts.disabled.current||this.#handleSelect()}onpointerup(e){if(!e.defaultPrevented&&!this.#isPointerDown){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget?.click()}}onpointerdown(_){this.#isPointerDown=!0}#props=user_derived(()=>mergeProps(this.item.props,{onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown}));get props(){
+return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubTriggerState{static create(opts){const content2=MenuContentContext.get(),item=new MenuItemSharedState(opts,content2),submenu=MenuMenuContext.get();return new MenuSubTriggerState(opts,item,content2,submenu)}opts;item;content;submenu;attachment;#openTimer=null;constructor(opts,item,content2,submenu){this.opts=opts,this.item=item,this.content=content2,this.submenu=submenu,this.attachment=attachRef(this.opts.ref,v=>this.
+submenu.triggerNode=v),this.onpointerleave=this.onpointerleave.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),onDestroyEffect(()=>{this.#clearOpenTimer()})}#clearOpenTimer(){this.#openTimer!==null&&(this.content.domContext.getWindow().clearTimeout(this.#openTimer),this.#openTimer=null)}onpointermove(e){isMouseEvent(e)&&!this.item.opts.disabled.current&&!this.submenu.opts.open.current&&!this.#openTimer&&!this.
+content.parentMenu.root.isPointerInTransit&&(this.#openTimer=this.content.domContext.setTimeout(()=>{this.submenu.onOpen(),this.#clearOpenTimer()},this.opts.openDelay.current))}onpointerleave(e){isMouseEvent(e)&&this.#clearOpenTimer()}onkeydown(e){const isTypingAhead=this.content.search!=="";this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE||SUB_OPEN_KEYS[this.submenu.root.opts.dir.current].includes(e.key)&&(e.currentTarget.click(),e.preventDefault())}onclick(e){if(this.item.opts.disabled.
+current||!isHTMLElement$1(e.currentTarget))return;e.currentTarget.focus();const selectEvent=new CustomEvent("menusubtriggerselect",{bubbles:!0,cancelable:!0});this.opts.onSelect.current(selectEvent),this.submenu.opts.open.current||(this.submenu.onOpen(),afterTick(()=>{const contentNode=this.submenu.contentNode;contentNode&&MenuOpenEvent.dispatch(contentNode)}))}#props=user_derived(()=>mergeProps({"aria-haspopup":"menu","aria-expanded":boolToStr(this.submenu.opts.open.current),"data-state":getDataOpenClosed(
+this.submenu.opts.open.current),"aria-controls":this.submenu.opts.open.current?this.submenu.contentId.current:void 0,[this.submenu.root.getBitsAttr("sub-trigger")]:"",onclick:this.onclick,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onkeydown:this.onkeydown,...this.attachment},this.item.props));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSeparatorState{static create(opts){return new MenuSeparatorState(opts,MenuRootContext.get())}opts;root;attachment;constructor(opts,root2){
+this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,role:"group",[this.root.getBitsAttr("separator")]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class DropdownMenuTriggerState{static create(opts){return new DropdownMenuTriggerState(opts,MenuMenuContext.get())}opts;parentMenu;attachment;constructor(opts,parentMenu){this.opts=opts,this.parentMenu=parentMenu,this.attachment=
+attachRef(this.opts.ref,v=>this.parentMenu.triggerNode=v)}onclick=e=>{this.opts.disabled.current||e.detail!==0||(this.parentMenu.toggleOpen(),e.preventDefault())};onpointerdown=e=>{if(!this.opts.disabled.current){if(e.pointerType==="touch")return e.preventDefault();e.button===0&&e.ctrlKey===!1&&(this.parentMenu.toggleOpen(),this.parentMenu.opts.open.current||e.preventDefault())}};onpointerup=e=>{this.opts.disabled.current||e.pointerType==="touch"&&(e.preventDefault(),this.parentMenu.toggleOpen())};onkeydown=e=>{
+if(!this.opts.disabled.current){if(e.key===SPACE||e.key===ENTER){this.parentMenu.toggleOpen(),e.preventDefault();return}e.key===ARROW_DOWN&&(this.parentMenu.onOpen(),e.preventDefault())}};#ariaControls=user_derived(()=>{if(this.parentMenu.opts.open.current&&this.parentMenu.contentId.current)return this.parentMenu.contentId.current});#props=user_derived(()=>({id:this.opts.id.current,disabled:this.opts.disabled.current,"aria-haspopup":"menu","aria-expanded":boolToStr(this.parentMenu.opts.open.current),
+"aria-controls":get$4(this.#ariaControls),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-state":getDataOpenClosed(this.parentMenu.opts.open.current),[this.parentMenu.root.getBitsAttr("trigger")]:"",onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubmenuState{static create(opts){const menu=MenuMenuContext.
+get();return MenuMenuContext.set(new MenuMenuState(opts,menu.root,menu))}}globalThis.bitsDismissableLayers??=new Map;class DismissibleLayerState{static create(opts){return new DismissibleLayerState(opts)}opts;#interactOutsideProp;#behaviorType;#interceptedEvents={pointerdown:!1};#isResponsibleLayer=!1;#isFocusInsideDOMTree=!1;#documentObj=void 0;#onFocusOutside;#unsubClickListener=noop$1;constructor(opts){this.opts=opts,this.#behaviorType=opts.interactOutsideBehavior,this.#interactOutsideProp=opts.
+onInteractOutside,this.#onFocusOutside=opts.onFocusOutside,user_effect(()=>{this.#documentObj=getOwnerDocument(this.opts.ref.current)});let unsubEvents=noop$1;const cleanup=()=>{this.#resetState(),globalThis.bitsDismissableLayers.delete(this),this.#handleInteractOutside.destroy(),unsubEvents()};watch$1([()=>this.opts.enabled.current,()=>this.opts.ref.current],()=>{if(!(!this.opts.enabled.current||!this.opts.ref.current))return afterSleep(1,()=>{this.opts.ref.current&&(globalThis.bitsDismissableLayers.
+set(this,this.#behaviorType),unsubEvents(),unsubEvents=this.#addEventListeners())}),cleanup}),onDestroyEffect(()=>{this.#resetState.destroy(),globalThis.bitsDismissableLayers.delete(this),this.#handleInteractOutside.destroy(),this.#unsubClickListener(),unsubEvents()})}#handleFocus=event2=>{event2.defaultPrevented||this.opts.ref.current&&afterTick(()=>{!this.opts.ref.current||this.#isTargetWithinLayer(event2.target)||event2.target&&!this.#isFocusInsideDOMTree&&this.#onFocusOutside.current?.(event2)})};#addEventListeners(){
+return executeCallbacks(on(this.#documentObj,"pointerdown",executeCallbacks(this.#markInterceptedEvent,this.#markResponsibleLayer),{capture:!0}),on(this.#documentObj,"pointerdown",executeCallbacks(this.#markNonInterceptedEvent,this.#handleInteractOutside)),on(this.#documentObj,"focusin",this.#handleFocus))}#handleDismiss=e=>{let event2=e;event2.defaultPrevented&&(event2=createWrappedEvent(e)),this.#interactOutsideProp.current(e)};#handleInteractOutside=debounce$1(e=>{if(!this.opts.ref.current){this.#unsubClickListener();
+return}const isEventValid=this.opts.isValidEvent.current(e,this.opts.ref.current)||isValidEvent(e,this.opts.ref.current);if(!this.#isResponsibleLayer||this.#isAnyEventIntercepted()||!isEventValid){this.#unsubClickListener();return}let event2=e;if(event2.defaultPrevented&&(event2=createWrappedEvent(event2)),this.#behaviorType.current!=="close"&&this.#behaviorType.current!=="defer-otherwise-close"){this.#unsubClickListener();return}e.pointerType==="touch"?(this.#unsubClickListener(),this.#unsubClickListener=
+on(this.#documentObj,"click",this.#handleDismiss,{once:!0})):this.#interactOutsideProp.current(event2)},10);#markInterceptedEvent=e=>{this.#interceptedEvents[e.type]=!0};#markNonInterceptedEvent=e=>{this.#interceptedEvents[e.type]=!1};#markResponsibleLayer=()=>{this.opts.ref.current&&(this.#isResponsibleLayer=isResponsibleLayer(this.opts.ref.current))};#isTargetWithinLayer=target2=>this.opts.ref.current?isOrContainsTarget(this.opts.ref.current,target2):!1;#resetState=debounce$1(()=>{for(const eventType in this.#interceptedEvents)
+this.#interceptedEvents[eventType]=!1;this.#isResponsibleLayer=!1},20);#isAnyEventIntercepted(){return Object.values(this.#interceptedEvents).some(Boolean)}#onfocuscapture=()=>{this.#isFocusInsideDOMTree=!0};#onblurcapture=()=>{this.#isFocusInsideDOMTree=!1};props={onfocuscapture:this.#onfocuscapture,onblurcapture:this.#onblurcapture}}function getTopMostDismissableLayer(layersArr=[...globalThis.bitsDismissableLayers]){return layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||
+behaviorType==="ignore")}function isResponsibleLayer(node2){const layersArr=[...globalThis.bitsDismissableLayers],topMostLayer=getTopMostDismissableLayer(layersArr);if(topMostLayer)return topMostLayer[0].opts.ref.current===node2;const[firstLayerNode]=layersArr[0];return firstLayerNode.opts.ref.current===node2}function isValidEvent(e,node2){const target2=e.target;if(!isElementOrSVGElement(target2))return!1;const targetIsContextMenuTrigger=!!target2.closest(`[${CONTEXT_MENU_TRIGGER_ATTR}]`);if("bu\
+tton"in e&&e.button>0&&!targetIsContextMenuTrigger)return!1;if("button"in e&&e.button===0&&targetIsContextMenuTrigger)return!0;const nodeIsContextMenu=!!node2.closest(`[${CONTEXT_MENU_CONTENT_ATTR}]`);return targetIsContextMenuTrigger&&nodeIsContextMenu?!1:getOwnerDocument(target2).documentElement.contains(target2)&&!isOrContainsTarget(node2,target2)&&isClickTrulyOutside(e,node2)}function createWrappedEvent(e){const capturedCurrentTarget=e.currentTarget,capturedTarget=e.target;let newEvent;e instanceof
+PointerEvent?newEvent=new PointerEvent(e.type,e):newEvent=new PointerEvent("pointerdown",e);let isPrevented=!1;return new Proxy(newEvent,{get:(target2,prop2)=>prop2==="currentTarget"?capturedCurrentTarget:prop2==="target"?capturedTarget:prop2==="preventDefault"?()=>{isPrevented=!0,typeof target2.preventDefault=="function"&&target2.preventDefault()}:prop2==="defaultPrevented"?isPrevented:prop2 in target2?target2[prop2]:e[prop2]})}function Dismissible_layer($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop(
+$$props,"interactOutsideBehavior",3,"close"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",3,noop$1),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1);const dismissibleLayerState=DismissibleLayerState.create({id:boxWith$1(()=>$$props.id),interactOutsideBehavior:boxWith$1(()=>interactOutsideBehavior()),onInteractOutside:boxWith$1(()=>onInteractOutside()),enabled:boxWith$1(()=>$$props.enabled),onFocusOutside:boxWith$1(()=>onFocusOutside()),
+isValidEvent:boxWith$1(()=>isValidEvent2()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3,()=>({props:dismissibleLayerState.props})),append($$anchor,fragment),pop()}globalThis.bitsEscapeLayers??=new Map;class EscapeLayerState{static create(opts){return new EscapeLayerState(opts)}opts;domContext;constructor(opts){this.opts=opts,this.domContext=new DOMContext(this.opts.ref);let unsubEvents=noop$1;watch$1(()=>opts.enabled.current,enabled=>(enabled&&
+(globalThis.bitsEscapeLayers.set(this,opts.escapeKeydownBehavior),unsubEvents=this.#addEventListener()),()=>{unsubEvents(),globalThis.bitsEscapeLayers.delete(this)}))}#addEventListener=()=>on(this.domContext.getDocument(),"keydown",this.#onkeydown,{passive:!1});#onkeydown=e=>{if(e.key!==ESCAPE||!isResponsibleEscapeLayer(this))return;const clonedEvent=new KeyboardEvent(e.type,e);e.preventDefault();const behaviorType=this.opts.escapeKeydownBehavior.current;behaviorType!=="close"&&behaviorType!=="d\
+efer-otherwise-close"||this.opts.onEscapeKeydown.current(clonedEvent)}}function isResponsibleEscapeLayer(instance){const layersArr=[...globalThis.bitsEscapeLayers],topMostLayer=layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||behaviorType==="ignore");if(topMostLayer)return topMostLayer[0]===instance;const[firstLayerNode]=layersArr[0];return firstLayerNode===instance}function Escape_layer($$anchor,$$props){push$1($$props,!0);let escapeKeydownBehavior=prop($$props,"escapeKe\
+ydownBehavior",3,"close"),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1);EscapeLayerState.create({escapeKeydownBehavior:boxWith$1(()=>escapeKeydownBehavior()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),enabled:boxWith$1(()=>$$props.enabled),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class FocusScopeManager{static instance;#scopeStack=simpleBox([]);#focusHistory=new WeakMap;#preFocusHistory=new WeakMap;static getInstance(){
+return this.instance||(this.instance=new FocusScopeManager),this.instance}register(scope2){const current2=this.getActive();current2&&current2!==scope2&&current2.pause();const activeElement=document.activeElement;activeElement&&activeElement!==document.body&&this.#preFocusHistory.set(scope2,activeElement),this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==scope2),this.#scopeStack.current.unshift(scope2)}unregister(scope2){this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==
+scope2);const next2=this.getActive();next2&&next2.resume()}getActive(){return this.#scopeStack.current[0]}setFocusMemory(scope2,element2){this.#focusHistory.set(scope2,element2)}getFocusMemory(scope2){return this.#focusHistory.get(scope2)}isActiveScope(scope2){return this.getActive()===scope2}setPreFocusMemory(scope2,element2){this.#preFocusHistory.set(scope2,element2)}getPreFocusMemory(scope2){return this.#preFocusHistory.get(scope2)}clearPreFocusMemory(scope2){this.#preFocusHistory.delete(scope2)}}
+class FocusScope{#paused=!1;#container=null;#manager=FocusScopeManager.getInstance();#cleanupFns=[];#opts;constructor(opts){this.#opts=opts}get paused(){return this.#paused}pause(){this.#paused=!0}resume(){this.#paused=!1}#cleanup(){for(const fn of this.#cleanupFns)fn();this.#cleanupFns=[]}mount(container2){this.#container&&this.unmount(),this.#container=container2,this.#manager.register(this),this.#setupEventListeners(),this.#handleOpenAutoFocus()}unmount(){this.#container&&(this.#cleanup(),this.#handleCloseAutoFocus(),
+this.#manager.unregister(this),this.#manager.clearPreFocusMemory(this),this.#container=null)}#handleOpenAutoFocus(){if(!this.#container)return;const event2=new CustomEvent("focusScope.onOpenAutoFocus",{bubbles:!1,cancelable:!0});this.#opts.onOpenAutoFocus.current(event2),event2.defaultPrevented||requestAnimationFrame(()=>{if(!this.#container)return;const firstTabbable=this.#getFirstTabbable();firstTabbable?(firstTabbable.focus(),this.#manager.setFocusMemory(this,firstTabbable)):this.#container.focus()})}#handleCloseAutoFocus(){
+const event2=new CustomEvent("focusScope.onCloseAutoFocus",{bubbles:!1,cancelable:!0});if(this.#opts.onCloseAutoFocus.current?.(event2),!event2.defaultPrevented){const preFocusedElement=this.#manager.getPreFocusMemory(this);if(preFocusedElement&&document.contains(preFocusedElement))try{preFocusedElement.focus()}catch{document.body.focus()}}}#setupEventListeners(){if(!this.#container||!this.#opts.trap.current)return;const container2=this.#container,doc=container2.ownerDocument,handleFocus=e=>{if(this.#paused||
+!this.#manager.isActiveScope(this))return;const target2=e.target;if(!target2)return;if(container2.contains(target2))this.#manager.setFocusMemory(this,target2);else{const lastFocused=this.#manager.getFocusMemory(this);if(lastFocused&&container2.contains(lastFocused)&&isFocusable(lastFocused))e.preventDefault(),lastFocused.focus();else{const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0];(firstTabbable||firstFocusable||container2).focus()}}},handleKeydown=e=>{if(!this.#opts.
+loop||this.#paused||e.key!=="Tab"||!this.#manager.isActiveScope(this))return;const tabbables=this.#getTabbables();if(tabbables.length===0)return;const first=tabbables[0],last=tabbables[tabbables.length-1];!e.shiftKey&&doc.activeElement===last?(e.preventDefault(),first.focus()):e.shiftKey&&doc.activeElement===first&&(e.preventDefault(),last.focus())};this.#cleanupFns.push(on(doc,"focusin",handleFocus,{capture:!0}),on(container2,"keydown",handleKeydown));const observer=new MutationObserver(()=>{const lastFocused=this.#manager.
+getFocusMemory(this);if(lastFocused&&!container2.contains(lastFocused)){const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0],elementToFocus=firstTabbable||firstFocusable;elementToFocus?(elementToFocus.focus(),this.#manager.setFocusMemory(this,elementToFocus)):container2.focus()}});observer.observe(container2,{childList:!0,subtree:!0}),this.#cleanupFns.push(()=>observer.disconnect())}#getTabbables(){return this.#container?tabbable(this.#container,{includeContainer:!1,
+getShadowRoot:!0}):[]}#getFirstTabbable(){return this.#getTabbables()[0]||null}#getAllFocusables(){return this.#container?focusable(this.#container,{includeContainer:!1,getShadowRoot:!0}):[]}static use(opts){let scope2=null;return watch$1([()=>opts.ref.current,()=>opts.enabled.current],([ref2,enabled])=>{ref2&&enabled?(scope2||(scope2=new FocusScope(opts)),scope2.mount(ref2)):scope2&&(scope2.unmount(),scope2=null)}),onDestroyEffect(()=>{scope2?.unmount()}),{get props(){return{tabindex:-1}}}}}function Focus_scope($$anchor,$$props){
+push$1($$props,!0);let enabled=prop($$props,"enabled",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),loop2=prop($$props,"loop",3,!1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1);const focusScopeState=FocusScope.use({enabled:boxWith$1(()=>enabled()),trap:boxWith$1(()=>trapFocus()),loop:loop2(),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus()),onOpenAutoFocus:boxWith$1(()=>onOpenAutoFocus()),ref:$$props.ref});var fragment=comment$2(),
+node2=first_child(fragment);snippet(node2,()=>$$props.focusScope??noop$3,()=>({props:focusScopeState.props})),append($$anchor,fragment),pop()}globalThis.bitsTextSelectionLayers??=new Map;class TextSelectionLayerState{static create(opts){return new TextSelectionLayerState(opts)}opts;domContext;#unsubSelectionLock=noop$1;constructor(opts){this.opts=opts,this.domContext=new DOMContext(opts.ref);let unsubEvents=noop$1;watch$1(()=>this.opts.enabled.current,isEnabled=>(isEnabled&&(globalThis.bitsTextSelectionLayers.
+set(this,this.opts.enabled),unsubEvents(),unsubEvents=this.#addEventListeners()),()=>{unsubEvents(),this.#resetSelectionLock(),globalThis.bitsTextSelectionLayers.delete(this)}))}#addEventListeners(){return executeCallbacks(on(this.domContext.getDocument(),"pointerdown",this.#pointerdown),on(this.domContext.getDocument(),"pointerup",composeHandlers(this.#resetSelectionLock,this.opts.onPointerUp.current)))}#pointerdown=e=>{const node2=this.opts.ref.current,target2=e.target;!isHTMLElement$1(node2)||
+!isHTMLElement$1(target2)||!this.opts.enabled.current||!isHighestLayer(this)||!contains$3(node2,target2)||(this.opts.onPointerDown.current(e),!e.defaultPrevented&&(this.#unsubSelectionLock=preventTextSelectionOverflow(node2,this.domContext.getDocument().body)))};#resetSelectionLock=()=>{this.#unsubSelectionLock(),this.#unsubSelectionLock=noop$1}}const getUserSelect=node2=>node2.style.userSelect||node2.style.webkitUserSelect;function preventTextSelectionOverflow(node2,body2){const originalBodyUserSelect=getUserSelect(
+body2),originalNodeUserSelect=getUserSelect(node2);return setUserSelect(body2,"none"),setUserSelect(node2,"text"),()=>{setUserSelect(body2,originalBodyUserSelect),setUserSelect(node2,originalNodeUserSelect)}}function setUserSelect(node2,value){node2.style.userSelect=value,node2.style.webkitUserSelect=value}function isHighestLayer(instance){const layersArr=[...globalThis.bitsTextSelectionLayers];if(!layersArr.length)return!1;const highestLayer=layersArr.at(-1);return highestLayer?highestLayer[0]===
+instance:!1}function Text_selection_layer($$anchor,$$props){push$1($$props,!0);let preventOverflowTextSelection=prop($$props,"preventOverflowTextSelection",3,!0),onPointerDown=prop($$props,"onPointerDown",3,noop$1),onPointerUp=prop($$props,"onPointerUp",3,noop$1);TextSelectionLayerState.create({id:boxWith$1(()=>$$props.id),onPointerDown:boxWith$1(()=>onPointerDown()),onPointerUp:boxWith$1(()=>onPointerUp()),enabled:boxWith$1(()=>$$props.enabled&&preventOverflowTextSelection()),ref:$$props.ref});
+var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}globalThis.bitsIdCounter??={current:0};function useId(prefix="bits"){return globalThis.bitsIdCounter.current++,`${prefix}-${globalThis.bitsIdCounter.current}`}class SharedState{#factory;#subscribers=0;#state=state$1();#scope;constructor(factory){this.#factory=factory}#dispose(){this.#subscribers-=1,this.#scope&&this.#subscribers<=0&&(this.#scope(),set$1(this.#state,void 0),
+this.#scope=void 0)}get(...args){return this.#subscribers+=1,get$4(this.#state)===void 0&&(this.#scope=effect_root(()=>{set$1(this.#state,this.#factory(...args),!0)})),user_effect(()=>()=>{this.#dispose()}),get$4(this.#state)}}const lockMap=new SvelteMap;let initialBodyStyle=state$1(null),stopTouchMoveListener=null,cleanupTimeoutId=null,isInCleanupTransition=!1;const anyLocked=boxWith$1(()=>{for(const value of lockMap.values())if(value)return!0;return!1});let cleanupScheduledAt=null;const bodyLockStackCount=new SharedState(
+()=>{function resetBodyStyle(){document.body.setAttribute("style",get$4(initialBodyStyle)??""),document.body.style.removeProperty("--scrollbar-width"),isIOS&&stopTouchMoveListener?.(),set$1(initialBodyStyle,null)}function cancelPendingCleanup(){cleanupTimeoutId!==null&&(window.clearTimeout(cleanupTimeoutId),cleanupTimeoutId=null)}function scheduleCleanupIfNoNewLocks(delay,callback){cancelPendingCleanup(),isInCleanupTransition=!0,cleanupScheduledAt=Date.now();const currentCleanupId=cleanupScheduledAt,
+cleanupFn=()=>{cleanupTimeoutId=null,cleanupScheduledAt===currentCleanupId&&(isAnyLocked(lockMap)?isInCleanupTransition=!1:(isInCleanupTransition=!1,callback()))},actualDelay=delay===null?24:delay;cleanupTimeoutId=window.setTimeout(cleanupFn,actualDelay)}function ensureInitialStyleCaptured(){get$4(initialBodyStyle)===null&&lockMap.size===0&&!isInCleanupTransition&&set$1(initialBodyStyle,document.body.getAttribute("style"),!0)}return watch$1(()=>anyLocked.current,()=>{if(!anyLocked.current)return;
+ensureInitialStyleCaptured(),isInCleanupTransition=!1;const htmlStyle=getComputedStyle(document.documentElement),bodyStyle=getComputedStyle(document.body),hasStableGutter=htmlStyle.scrollbarGutter?.includes("stable")||bodyStyle.scrollbarGutter?.includes("stable"),verticalScrollbarWidth=window.innerWidth-document.documentElement.clientWidth,config2={padding:Number.parseInt(bodyStyle.paddingRight??"0",10)+verticalScrollbarWidth,margin:Number.parseInt(bodyStyle.marginRight??"0",10)};verticalScrollbarWidth>
+0&&!hasStableGutter&&(document.body.style.paddingRight=`${config2.padding}px`,document.body.style.marginRight=`${config2.margin}px`,document.body.style.setProperty("--scrollbar-width",`${verticalScrollbarWidth}px`)),document.body.style.overflow="hidden",isIOS&&(stopTouchMoveListener=on(document,"touchmove",e=>{e.target===document.documentElement&&(e.touches.length>1||e.preventDefault())},{passive:!1})),afterTick(()=>{document.body.style.pointerEvents="none",document.body.style.overflow="hidden"})}),
+onDestroyEffect(()=>()=>{stopTouchMoveListener?.()}),{get lockMap(){return lockMap},resetBodyStyle,scheduleCleanupIfNoNewLocks,cancelPendingCleanup,ensureInitialStyleCaptured}});class BodyScrollLock{#id=useId();#initialState;#restoreScrollDelay=()=>null;#countState;locked;constructor(initialState,restoreScrollDelay=()=>null){this.#initialState=initialState,this.#restoreScrollDelay=restoreScrollDelay,this.#countState=bodyLockStackCount.get(),this.#countState&&(this.#countState.cancelPendingCleanup(),
+this.#countState.ensureInitialStyleCaptured(),this.#countState.lockMap.set(this.#id,this.#initialState??!1),this.locked=boxWith$1(()=>this.#countState.lockMap.get(this.#id)??!1,v=>this.#countState.lockMap.set(this.#id,v)),onDestroyEffect(()=>{if(this.#countState.lockMap.delete(this.#id),isAnyLocked(this.#countState.lockMap))return;const restoreScrollDelay2=this.#restoreScrollDelay();this.#countState.scheduleCleanupIfNoNewLocks(restoreScrollDelay2,()=>{this.#countState.resetBodyStyle()})}))}}function isAnyLocked(map2){
+for(const[_,value]of map2)if(value)return!0;return!1}function Scroll_lock($$anchor,$$props){push$1($$props,!0);let preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null);preventScroll()&&new BodyScrollLock(preventScroll(),()=>restoreScrollDelay()),pop()}var root_6$C=from_html("<!> <!>",1),root_8$r=from_html("<!> <div><!></div>",1);function Alert_dialog_content$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"\
+id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"ignore"),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),preventScroll=prop($$props,"preventScroll",3,!0),trapFocus=prop($$props,"trapFocus",3,!0),
+restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","interactOutsideBehavior","onCloseAutoFocus","onEscapeKeydown","onOpenAutoFocus","onInteractOutside","preventScroll","trapFocus","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),
+node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.current},get onCloseAutoFocus(){return onCloseAutoFocus()},onOpenAutoFocus:e=>{onOpenAutoFocus()(e),!e.defaultPrevented&&(e.preventDefault(),afterSleep(0,()=>contentState.opts.ref.current?.focus()))},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer(
+$$anchor3,spread_props(()=>get$4(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(()=>get$4(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},get interactOutsideBehavior(){return interactOutsideBehavior()},
+onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$4(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$C(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{
+Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$4(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.child,()=>get$4($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$r(),node_4=first_child(fragment_8);
+Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$4(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,!1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};
+if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}var root_3$10=from_html("<div><!></div>");function Dialog_overlay$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),forceMount=prop($$props,"forceMount",3,!1),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","forceMount","child","children","ref"]);const overlayState=DialogOverlayState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,overlayState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{let $0=user_derived(()=>({props:mergeProps(get$4(mergedProps)),...overlayState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$4(
+$0))}append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$10();attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$4(mergedProps))]);var node_3=child(div);snippet(node_3,()=>$$props.children??noop$3,()=>overlayState.snippetProps),reset(div),append($$anchor3,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{(overlayState.shouldRender||forceMount())&&$$render(consequent_1)})}append($$anchor,
+fragment),pop()}var root_2$1r=from_html("<div><!></div>");function Dialog_description$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref"]);const descriptionState=DialogDescriptionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,descriptionState.
+props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1r();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):
+$$render(alternate,!1)})}append($$anchor,fragment),pop()}const checkboxAttrs=createBitsAttrs({component:"checkbox",parts:["root","group","group-label","input"]}),CheckboxGroupContext=new Context$1("Checkbox.Group"),CheckboxRootContext=new Context$1("Checkbox.Root");class CheckboxRootState{static create(opts,group=null){return CheckboxRootContext.set(new CheckboxRootState(opts,group))}opts;group;#trueName=user_derived(()=>this.group&&this.group.opts.name.current?this.group.opts.name.current:this.
+opts.name.current);get trueName(){return get$4(this.#trueName)}set trueName(value){set$1(this.#trueName,value)}#trueRequired=user_derived(()=>this.group&&this.group.opts.required.current?!0:this.opts.required.current);get trueRequired(){return get$4(this.#trueRequired)}set trueRequired(value){set$1(this.#trueRequired,value)}#trueDisabled=user_derived(()=>this.group&&this.group.opts.disabled.current?!0:this.opts.disabled.current);get trueDisabled(){return get$4(this.#trueDisabled)}set trueDisabled(value){
+set$1(this.#trueDisabled,value)}#trueReadonly=user_derived(()=>this.group&&this.group.opts.readonly.current?!0:this.opts.readonly.current);get trueReadonly(){return get$4(this.#trueReadonly)}set trueReadonly(value){set$1(this.#trueReadonly,value)}attachment;constructor(opts,group){this.opts=opts,this.group=group,this.attachment=attachRef(this.opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),watch$1.pre([()=>snapshot(this.group?.opts.value.current),()=>this.
+opts.value.current],([groupValue,value])=>{!groupValue||!value||(this.opts.checked.current=groupValue.includes(value))}),watch$1.pre(()=>this.opts.checked.current,checked=>{this.group&&(checked?this.group?.addValue(this.opts.value.current):this.group?.removeValue(this.opts.value.current))})}onkeydown(e){if(!(this.trueDisabled||this.trueReadonly)){if(e.key===ENTER){e.preventDefault(),this.opts.type.current==="submit"&&e.currentTarget.closest("form")?.requestSubmit();return}e.key===SPACE&&(e.preventDefault(),
+this.#toggle())}}#toggle(){this.opts.indeterminate.current?(this.opts.indeterminate.current=!1,this.opts.checked.current=!0):this.opts.checked.current=!this.opts.checked.current}onclick(e){if(!(this.trueDisabled||this.trueReadonly)){if(this.opts.type.current==="submit"){this.#toggle();return}e.preventDefault(),this.#toggle()}}#snippetProps=user_derived(()=>({checked:this.opts.checked.current,indeterminate:this.opts.indeterminate.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){
+set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"checkbox",type:this.opts.type.current,disabled:this.trueDisabled,"aria-checked":getAriaChecked(this.opts.checked.current,this.opts.indeterminate.current),"aria-required":boolToStr(this.trueRequired),"aria-readonly":boolToStr(this.trueReadonly),"data-disabled":boolToEmptyStrOrUndef(this.trueDisabled),"data-readonly":boolToEmptyStrOrUndef(this.trueReadonly),"data-state":getCheckboxDataState(this.opts.checked.current,
+this.opts.indeterminate.current),[checkboxAttrs.root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class CheckboxInputState{static create(){return new CheckboxInputState(CheckboxRootContext.get())}root;#trueChecked=user_derived(()=>this.root.group?!!(this.root.opts.value.current!==void 0&&this.root.group.opts.value.current.includes(this.root.opts.value.current)):this.root.opts.checked.current);get trueChecked(){
+return get$4(this.#trueChecked)}set trueChecked(value){set$1(this.#trueChecked,value)}#shouldRender=user_derived(()=>!!this.root.trueName);get shouldRender(){return get$4(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(_){isHTMLElement$1(this.root.opts.ref.current)&&this.root.opts.ref.current.focus()}#props=user_derived(()=>({type:"checkbox",checked:this.root.opts.checked.current===!0,disabled:this.
+root.trueDisabled,required:this.root.trueRequired,name:this.root.trueName,value:this.root.opts.value.current,readonly:this.root.trueReadonly,onfocus:this.onfocus}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}function getCheckboxDataState(checked,indeterminate){return indeterminate?"indeterminate":checked?"checked":"unchecked"}enable_legacy_mode_flag();var root_1$16=from_html("<input/>"),root_2$1q=from_html("<input/>");function Hidden_input($$anchor,$$props){
+push$1($$props,!0);let value=prop($$props,"value",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","value"]);const mergedProps=user_derived(()=>mergeProps(restProps,{"aria-hidden":"true",tabindex:-1,style:srOnlyStylesString}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$16();attribute_effect(input,()=>({...get$4(mergedProps),value:value()}),void 0,void 0,void 0,void 0,!0),append($$anchor2,input)},alternate=$$anchor2=>{var input_1=root_2$1q();
+attribute_effect(input_1,()=>({...get$4(mergedProps)}),void 0,void 0,void 0,void 0,!0),bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{get$4(mergedProps).type==="checkbox"?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Checkbox_input($$anchor,$$props){push$1($$props,!1);const inputState=CheckboxInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(
+()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1p=from_html("<button><!></button>"),root$1L=from_html("<!> <!>",1);function Checkbox$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let checked=prop($$props,"checked",15,!1),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required",3,!1),name=prop($$props,"name",3,void 0),value=prop($$props,"valu\
+e",3,"on"),id2=prop($$props,"id",19,()=>createId(uid)),indeterminate=prop($$props,"indeterminate",15,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","checked","ref","onCheckedChange","children","disabled","required","name","value","id","indeterminate","onIndeterminateChange","child","type","readonly"]);const group=CheckboxGroupContext.getOr(null);group&&value()&&(group.opts.value.current.includes(value())?checked(!0):checked(!1)),watch$1.pre(
+()=>value(),()=>{group&&value()&&(group.opts.value.current.includes(value())?checked(!0):checked(!1))});const rootState=CheckboxRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),$$props.onCheckedChange?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),name:boxWith$1(()=>name()),value:boxWith$1(()=>value()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),indeterminate:boxWith$1(()=>indeterminate(),v=>{indeterminate(v),$$props.onIndeterminateChange?.(
+v)}),type:boxWith$1(()=>type2()),readonly:boxWith$1(()=>!!$$props.readonly)},group),mergedProps=user_derived(()=>mergeProps({...restProps},rootState.props));var fragment=root$1L(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$4(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$4($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1p();attribute_effect(
+button,()=>({...get$4(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}var node_3=sibling(node2,2);Checkbox_input(node_3,{}),append($$anchor,fragment),pop()}const collapsibleAttrs=createBitsAttrs({component:"collapsible",parts:["root","content","trigger"]}),CollapsibleRootContext=new Context$1("Collapsible.Ro\
+ot");class CollapsibleRootState{static create(opts){return CollapsibleRootContext.set(new CollapsibleRootState(opts))}opts;attachment;#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#contentId=state$1(void 0);get contentId(){return get$4(this.#contentId)}set contentId(value){set$1(this.#contentId,value,!0)}constructor(opts){this.opts=opts,this.toggleOpen=this.toggleOpen.bind(this),this.attachment=
+attachRef(this.opts.ref),this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}})}toggleOpen(){this.opts.open.current=!this.opts.open.current}#props=user_derived(()=>({id:this.opts.id.current,"data-state":getDataOpenClosed(this.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),[collapsibleAttrs.root]:"",...this.attachment}));get props(){return get$4(
+this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleContentState{static create(opts){return new CollapsibleContentState(opts,CollapsibleRootContext.get())}opts;root;attachment;#present=user_derived(()=>this.opts.hiddenUntilFound.current?this.root.opts.open.current:this.opts.forceMount.current||this.root.opts.open.current);get present(){return get$4(this.#present)}set present(value){set$1(this.#present,value)}#originalStyles;#isMountAnimationPrevented=state$1(!1);#width=state$1(
+0);#height=state$1(0);constructor(opts,root2){this.opts=opts,this.root=root2,set$1(this.#isMountAnimationPrevented,root2.opts.open.current,!0),this.root.contentId=this.opts.id.current,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.contentId=id2}),user_pre_effect(()=>{const rAF=requestAnimationFrame(()=>{set$1(this.#isMountAnimationPrevented,!1)});return()=>{cancelAnimationFrame(rAF)}}),watch$1.pre([()=>this.opts.ref.current,
+()=>this.opts.hiddenUntilFound.current],([node2,hiddenUntilFound])=>!node2||!hiddenUntilFound?void 0:on(node2,"beforematch",()=>{this.root.opts.open.current||requestAnimationFrame(()=>{this.root.opts.open.current=!0})})),watch$1([()=>this.opts.ref.current,()=>this.present],([node2])=>{node2&&afterTick(()=>{if(!this.opts.ref.current)return;this.#originalStyles=this.#originalStyles||{transitionDuration:node2.style.transitionDuration,animationName:node2.style.animationName},node2.style.transitionDuration=
+"0s",node2.style.animationName="none";const rect=node2.getBoundingClientRect();if(set$1(this.#height,rect.height,!0),set$1(this.#width,rect.width,!0),!get$4(this.#isMountAnimationPrevented)){const{animationName,transitionDuration}=this.#originalStyles;node2.style.transitionDuration=transitionDuration,node2.style.animationName=animationName}})})}get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){
+return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,style:{"--bits-collapsible-content-height":get$4(this.#height)?`${get$4(this.#height)}px`:void 0,"--bits-collapsible-content-width":get$4(this.#width)?`${get$4(this.#width)}px`:void 0},hidden:this.opts.hiddenUntilFound.current&&!this.root.opts.open.current?"until-found":void 0,"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(
+this.root.opts.disabled.current),[collapsibleAttrs.content]:"",...this.opts.hiddenUntilFound.current&&!this.shouldRender?{}:{hidden:this.opts.hiddenUntilFound.current?!this.shouldRender:this.opts.forceMount.current?void 0:!this.shouldRender},...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleTriggerState{static create(opts){return new CollapsibleTriggerState(opts,CollapsibleRootContext.get())}opts;root;attachment;#isDisabled=user_derived(
+()=>this.opts.disabled.current||this.root.opts.disabled.current);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){if(!get$4(this.#isDisabled)){if(e.button!==0)return e.preventDefault();this.root.toggleOpen()}}onkeydown(e){get$4(this.#isDisabled)||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.toggleOpen())}#props=user_derived(()=>({id:this.opts.id.
+current,type:"button",disabled:get$4(this.#isDisabled),"aria-controls":this.root.contentId,"aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(get$4(this.#isDisabled)),[collapsibleAttrs.trigger]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}var root_2$1o=from_html("<div><!></div>");function Collapsible$1($$anchor,$$props){
+const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!1),disabled=prop($$props,"disabled",3,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","open","disabled","onOpenChange","onOpenChangeComplete"]);const rootState=CollapsibleRootState.create(
+{open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),disabled:boxWith$1(()=>disabled()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,
+fragment_1)},alternate=$$anchor2=>{var div=root_2$1o();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_2$1n=from_html("<div><!></div>");function Collapsible_content$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),forceMount=prop(
+$$props,"forceMount",3,!1),hiddenUntilFound=prop($$props,"hiddenUntilFound",3,!1),id2=prop($$props,"id",19,()=>createId(uid)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","ref","forceMount","hiddenUntilFound","children","id"]);const contentState=CollapsibleContentState.create({id:boxWith$1(()=>id2()),forceMount:boxWith$1(()=>forceMount()),hiddenUntilFound:boxWith$1(()=>hiddenUntilFound()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,
+contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({...contentState.snippetProps,props:get$4(mergedProps)}));snippet(node_1,()=>$$props.child,()=>get$4($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1n();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append(
+$$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_2$1m=from_html("<button><!></button>");function Collapsible_trigger$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","ref","id","disabled"]);const triggerState=CollapsibleTriggerState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1m();attribute_effect(button,()=>({...get$4(mergedProps)}));
+var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}const sides=["top","right","bottom","left"],min=Math.min,max=Math.max,round=Math.round,floor=Math.floor,createCoords=v=>({x:v,y:v}),oppositeSideMap={left:"right",right:"left",bottom:"top",top:"bottom"},oppositeAlignmentMap={start:"end",end:"start"};function clamp$1(start2,value,end){
+return max(start2,min(value,end))}function evaluate(value,param){return typeof value=="function"?value(param):value}function getSide$1(placement){return placement.split("-")[0]}function getAlignment(placement){return placement.split("-")[1]}function getOppositeAxis(axis){return axis==="x"?"y":"x"}function getAxisLength(axis){return axis==="y"?"height":"width"}const yAxisSides=new Set(["top","bottom"]);function getSideAxis(placement){return yAxisSides.has(getSide$1(placement))?"y":"x"}function getAlignmentAxis(placement){
+return getOppositeAxis(getSideAxis(placement))}function getAlignmentSides(placement,rects,rtl){rtl===void 0&&(rtl=!1);const alignment=getAlignment(placement),alignmentAxis=getAlignmentAxis(placement),length=getAxisLength(alignmentAxis);let mainAlignmentSide=alignmentAxis==="x"?alignment===(rtl?"end":"start")?"right":"left":alignment==="start"?"bottom":"top";return rects.reference[length]>rects.floating[length]&&(mainAlignmentSide=getOppositePlacement(mainAlignmentSide)),[mainAlignmentSide,getOppositePlacement(
+mainAlignmentSide)]}function getExpandedPlacements(placement){const oppositePlacement=getOppositePlacement(placement);return[getOppositeAlignmentPlacement(placement),oppositePlacement,getOppositeAlignmentPlacement(oppositePlacement)]}function getOppositeAlignmentPlacement(placement){return placement.replace(/start|end/g,alignment=>oppositeAlignmentMap[alignment])}const lrPlacement=["left","right"],rlPlacement=["right","left"],tbPlacement=["top","bottom"],btPlacement=["bottom","top"];function getSideList(side,isStart,rtl){
+switch(side){case"top":case"bottom":return rtl?isStart?rlPlacement:lrPlacement:isStart?lrPlacement:rlPlacement;case"left":case"right":return isStart?tbPlacement:btPlacement;default:return[]}}function getOppositeAxisPlacements(placement,flipAlignment,direction,rtl){const alignment=getAlignment(placement);let list2=getSideList(getSide$1(placement),direction==="start",rtl);return alignment&&(list2=list2.map(side=>side+"-"+alignment),flipAlignment&&(list2=list2.concat(list2.map(getOppositeAlignmentPlacement)))),
+list2}function getOppositePlacement(placement){return placement.replace(/left|right|bottom|top/g,side=>oppositeSideMap[side])}function expandPaddingObject(padding){return{top:0,right:0,bottom:0,left:0,...padding}}function getPaddingObject(padding){return typeof padding!="number"?expandPaddingObject(padding):{top:padding,right:padding,bottom:padding,left:padding}}function rectToClientRect(rect){const{x,y,width,height}=rect;return{width,height,top:y,left:x,right:x+width,bottom:y+height,x,y}}function computeCoordsFromPlacement(_ref,placement,rtl){
+let{reference,floating}=_ref;const sideAxis=getSideAxis(placement),alignmentAxis=getAlignmentAxis(placement),alignLength=getAxisLength(alignmentAxis),side=getSide$1(placement),isVertical=sideAxis==="y",commonX=reference.x+reference.width/2-floating.width/2,commonY=reference.y+reference.height/2-floating.height/2,commonAlign=reference[alignLength]/2-floating[alignLength]/2;let coords;switch(side){case"top":coords={x:commonX,y:reference.y-floating.height};break;case"bottom":coords={x:commonX,y:reference.
+y+reference.height};break;case"right":coords={x:reference.x+reference.width,y:commonY};break;case"left":coords={x:reference.x-floating.width,y:commonY};break;default:coords={x:reference.x,y:reference.y}}switch(getAlignment(placement)){case"start":coords[alignmentAxis]-=commonAlign*(rtl&&isVertical?-1:1);break;case"end":coords[alignmentAxis]+=commonAlign*(rtl&&isVertical?-1:1);break}return coords}const computePosition$1=async(reference,floating,config2)=>{const{placement="bottom",strategy="absolu\
+te",middleware=[],platform:platform2}=config2,validMiddleware=middleware.filter(Boolean),rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(floating));let rects=await platform2.getElementRects({reference,floating,strategy}),{x,y}=computeCoordsFromPlacement(rects,placement,rtl),statefulPlacement=placement,middlewareData={},resetCount=0;for(let i=0;i<validMiddleware.length;i++){const{name,fn}=validMiddleware[i],{x:nextX,y:nextY,data,reset:reset2}=await fn({x,y,initialPlacement:placement,placement:statefulPlacement,
+strategy,middlewareData,rects,platform:platform2,elements:{reference,floating}});x=nextX??x,y=nextY??y,middlewareData={...middlewareData,[name]:{...middlewareData[name],...data}},reset2&&resetCount<=50&&(resetCount++,typeof reset2=="object"&&(reset2.placement&&(statefulPlacement=reset2.placement),reset2.rects&&(rects=reset2.rects===!0?await platform2.getElementRects({reference,floating,strategy}):reset2.rects),{x,y}=computeCoordsFromPlacement(rects,statefulPlacement,rtl)),i=-1)}return{x,y,placement:statefulPlacement,
+strategy,middlewareData}};async function detectOverflow(state2,options){var _await$platform$isEle;options===void 0&&(options={});const{x,y,platform:platform2,rects,elements,strategy}=state2,{boundary:boundary2="clippingAncestors",rootBoundary="viewport",elementContext="floating",altBoundary=!1,padding=0}=evaluate(options,state2),paddingObject=getPaddingObject(padding),element2=elements[altBoundary?elementContext==="floating"?"reference":"floating":elementContext],clippingClientRect=rectToClientRect(
+await platform2.getClippingRect({element:(_await$platform$isEle=await(platform2.isElement==null?void 0:platform2.isElement(element2)))==null||_await$platform$isEle?element2:element2.contextElement||await(platform2.getDocumentElement==null?void 0:platform2.getDocumentElement(elements.floating)),boundary:boundary2,rootBoundary,strategy})),rect=elementContext==="floating"?{x,y,width:rects.floating.width,height:rects.floating.height}:rects.reference,offsetParent=await(platform2.getOffsetParent==null?
+void 0:platform2.getOffsetParent(elements.floating)),offsetScale=await(platform2.isElement==null?void 0:platform2.isElement(offsetParent))?await(platform2.getScale==null?void 0:platform2.getScale(offsetParent))||{x:1,y:1}:{x:1,y:1},elementClientRect=rectToClientRect(platform2.convertOffsetParentRelativeRectToViewportRelativeRect?await platform2.convertOffsetParentRelativeRectToViewportRelativeRect({elements,rect,offsetParent,strategy}):rect);return{top:(clippingClientRect.top-elementClientRect.top+
+paddingObject.top)/offsetScale.y,bottom:(elementClientRect.bottom-clippingClientRect.bottom+paddingObject.bottom)/offsetScale.y,left:(clippingClientRect.left-elementClientRect.left+paddingObject.left)/offsetScale.x,right:(elementClientRect.right-clippingClientRect.right+paddingObject.right)/offsetScale.x}}const arrow$1=options=>({name:"arrow",options,async fn(state2){const{x,y,placement,rects,platform:platform2,elements,middlewareData}=state2,{element:element2,padding=0}=evaluate(options,state2)||
+{};if(element2==null)return{};const paddingObject=getPaddingObject(padding),coords={x,y},axis=getAlignmentAxis(placement),length=getAxisLength(axis),arrowDimensions=await platform2.getDimensions(element2),isYAxis=axis==="y",minProp=isYAxis?"top":"left",maxProp=isYAxis?"bottom":"right",clientProp=isYAxis?"clientHeight":"clientWidth",endDiff=rects.reference[length]+rects.reference[axis]-coords[axis]-rects.floating[length],startDiff=coords[axis]-rects.reference[axis],arrowOffsetParent=await(platform2.
+getOffsetParent==null?void 0:platform2.getOffsetParent(element2));let clientSize=arrowOffsetParent?arrowOffsetParent[clientProp]:0;(!clientSize||!await(platform2.isElement==null?void 0:platform2.isElement(arrowOffsetParent)))&&(clientSize=elements.floating[clientProp]||rects.floating[length]);const centerToReference=endDiff/2-startDiff/2,largestPossiblePadding=clientSize/2-arrowDimensions[length]/2-1,minPadding=min(paddingObject[minProp],largestPossiblePadding),maxPadding=min(paddingObject[maxProp],
+largestPossiblePadding),min$1=minPadding,max2=clientSize-arrowDimensions[length]-maxPadding,center=clientSize/2-arrowDimensions[length]/2+centerToReference,offset2=clamp$1(min$1,center,max2),shouldAddOffset=!middlewareData.arrow&&getAlignment(placement)!=null&&center!==offset2&&rects.reference[length]/2-(center<min$1?minPadding:maxPadding)-arrowDimensions[length]/2<0,alignmentOffset=shouldAddOffset?center<min$1?center-min$1:center-max2:0;return{[axis]:coords[axis]+alignmentOffset,data:{[axis]:offset2,
+centerOffset:center-offset2-alignmentOffset,...shouldAddOffset&&{alignmentOffset}},reset:shouldAddOffset}}}),flip$1=function(options){return options===void 0&&(options={}),{name:"flip",options,async fn(state2){var _middlewareData$arrow,_middlewareData$flip;const{placement,middlewareData,rects,initialPlacement,platform:platform2,elements}=state2,{mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!0,fallbackPlacements:specifiedFallbackPlacements,fallbackStrategy="bestFit",fallbackAxisSideDirection="\
+none",flipAlignment=!0,...detectOverflowOptions}=evaluate(options,state2);if((_middlewareData$arrow=middlewareData.arrow)!=null&&_middlewareData$arrow.alignmentOffset)return{};const side=getSide$1(placement),initialSideAxis=getSideAxis(initialPlacement),isBasePlacement=getSide$1(initialPlacement)===initialPlacement,rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating)),fallbackPlacements=specifiedFallbackPlacements||(isBasePlacement||!flipAlignment?[getOppositePlacement(initialPlacement)]:
+getExpandedPlacements(initialPlacement)),hasFallbackAxisSideDirection=fallbackAxisSideDirection!=="none";!specifiedFallbackPlacements&&hasFallbackAxisSideDirection&&fallbackPlacements.push(...getOppositeAxisPlacements(initialPlacement,flipAlignment,fallbackAxisSideDirection,rtl));const placements=[initialPlacement,...fallbackPlacements],overflow=await detectOverflow(state2,detectOverflowOptions),overflows=[];let overflowsData=((_middlewareData$flip=middlewareData.flip)==null?void 0:_middlewareData$flip.
+overflows)||[];if(checkMainAxis&&overflows.push(overflow[side]),checkCrossAxis){const sides2=getAlignmentSides(placement,rects,rtl);overflows.push(overflow[sides2[0]],overflow[sides2[1]])}if(overflowsData=[...overflowsData,{placement,overflows}],!overflows.every(side2=>side2<=0)){var _middlewareData$flip2,_overflowsData$filter;const nextIndex=(((_middlewareData$flip2=middlewareData.flip)==null?void 0:_middlewareData$flip2.index)||0)+1,nextPlacement=placements[nextIndex];if(nextPlacement&&(!(checkCrossAxis===
+"alignment"?initialSideAxis!==getSideAxis(nextPlacement):!1)||overflowsData.every(d2=>d2.overflows[0]>0&&getSideAxis(d2.placement)===initialSideAxis)))return{data:{index:nextIndex,overflows:overflowsData},reset:{placement:nextPlacement}};let resetPlacement=(_overflowsData$filter=overflowsData.filter(d2=>d2.overflows[0]<=0).sort((a,b)=>a.overflows[1]-b.overflows[1])[0])==null?void 0:_overflowsData$filter.placement;if(!resetPlacement)switch(fallbackStrategy){case"bestFit":{var _overflowsData$filter2;
+const placement2=(_overflowsData$filter2=overflowsData.filter(d2=>{if(hasFallbackAxisSideDirection){const currentSideAxis=getSideAxis(d2.placement);return currentSideAxis===initialSideAxis||currentSideAxis==="y"}return!0}).map(d2=>[d2.placement,d2.overflows.filter(overflow2=>overflow2>0).reduce((acc,overflow2)=>acc+overflow2,0)]).sort((a,b)=>a[1]-b[1])[0])==null?void 0:_overflowsData$filter2[0];placement2&&(resetPlacement=placement2);break}case"initialPlacement":resetPlacement=initialPlacement;break}
+if(placement!==resetPlacement)return{reset:{placement:resetPlacement}}}return{}}}};function getSideOffsets(overflow,rect){return{top:overflow.top-rect.height,right:overflow.right-rect.width,bottom:overflow.bottom-rect.height,left:overflow.left-rect.width}}function isAnySideFullyClipped(overflow){return sides.some(side=>overflow[side]>=0)}const hide$1=function(options){return options===void 0&&(options={}),{name:"hide",options,async fn(state2){const{rects}=state2,{strategy="referenceHidden",...detectOverflowOptions}=evaluate(
+options,state2);switch(strategy){case"referenceHidden":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,elementContext:"reference"}),offsets=getSideOffsets(overflow,rects.reference);return{data:{referenceHiddenOffsets:offsets,referenceHidden:isAnySideFullyClipped(offsets)}}}case"escaped":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,altBoundary:!0}),offsets=getSideOffsets(overflow,rects.floating);return{data:{escapedOffsets:offsets,escaped:isAnySideFullyClipped(
+offsets)}}}default:return{}}}}},originSides=new Set(["left","top"]);async function convertValueToCoords(state2,options){const{placement,platform:platform2,elements}=state2,rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating)),side=getSide$1(placement),alignment=getAlignment(placement),isVertical=getSideAxis(placement)==="y",mainAxisMulti=originSides.has(side)?-1:1,crossAxisMulti=rtl&&isVertical?-1:1,rawValue=evaluate(options,state2);let{mainAxis,crossAxis,alignmentAxis}=typeof rawValue==
+"number"?{mainAxis:rawValue,crossAxis:0,alignmentAxis:null}:{mainAxis:rawValue.mainAxis||0,crossAxis:rawValue.crossAxis||0,alignmentAxis:rawValue.alignmentAxis};return alignment&&typeof alignmentAxis=="number"&&(crossAxis=alignment==="end"?alignmentAxis*-1:alignmentAxis),isVertical?{x:crossAxis*crossAxisMulti,y:mainAxis*mainAxisMulti}:{x:mainAxis*mainAxisMulti,y:crossAxis*crossAxisMulti}}const offset$1=function(options){return options===void 0&&(options=0),{name:"offset",options,async fn(state2){
+var _middlewareData$offse,_middlewareData$arrow;const{x,y,placement,middlewareData}=state2,diffCoords=await convertValueToCoords(state2,options);return placement===((_middlewareData$offse=middlewareData.offset)==null?void 0:_middlewareData$offse.placement)&&(_middlewareData$arrow=middlewareData.arrow)!=null&&_middlewareData$arrow.alignmentOffset?{}:{x:x+diffCoords.x,y:y+diffCoords.y,data:{...diffCoords,placement}}}}},shift$1=function(options){return options===void 0&&(options={}),{name:"shift",options,
+async fn(state2){const{x,y,placement}=state2,{mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!1,limiter={fn:_ref=>{let{x:x2,y:y2}=_ref;return{x:x2,y:y2}}},...detectOverflowOptions}=evaluate(options,state2),coords={x,y},overflow=await detectOverflow(state2,detectOverflowOptions),crossAxis=getSideAxis(getSide$1(placement)),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];if(checkMainAxis){const minSide=mainAxis==="y"?"top":"left",maxSide=mainAxis===
+"y"?"bottom":"right",min2=mainAxisCoord+overflow[minSide],max2=mainAxisCoord-overflow[maxSide];mainAxisCoord=clamp$1(min2,mainAxisCoord,max2)}if(checkCrossAxis){const minSide=crossAxis==="y"?"top":"left",maxSide=crossAxis==="y"?"bottom":"right",min2=crossAxisCoord+overflow[minSide],max2=crossAxisCoord-overflow[maxSide];crossAxisCoord=clamp$1(min2,crossAxisCoord,max2)}const limitedCoords=limiter.fn({...state2,[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord});return{...limitedCoords,data:{x:limitedCoords.
+x-x,y:limitedCoords.y-y,enabled:{[mainAxis]:checkMainAxis,[crossAxis]:checkCrossAxis}}}}}},limitShift$1=function(options){return options===void 0&&(options={}),{options,fn(state2){const{x,y,placement,rects,middlewareData}=state2,{offset:offset2=0,mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!0}=evaluate(options,state2),coords={x,y},crossAxis=getSideAxis(placement),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];const rawOffset=evaluate(
+offset2,state2),computedOffset=typeof rawOffset=="number"?{mainAxis:rawOffset,crossAxis:0}:{mainAxis:0,crossAxis:0,...rawOffset};if(checkMainAxis){const len=mainAxis==="y"?"height":"width",limitMin=rects.reference[mainAxis]-rects.floating[len]+computedOffset.mainAxis,limitMax=rects.reference[mainAxis]+rects.reference[len]-computedOffset.mainAxis;mainAxisCoord<limitMin?mainAxisCoord=limitMin:mainAxisCoord>limitMax&&(mainAxisCoord=limitMax)}if(checkCrossAxis){var _middlewareData$offse,_middlewareData$offse2;
+const len=mainAxis==="y"?"width":"height",isOriginSide=originSides.has(getSide$1(placement)),limitMin=rects.reference[crossAxis]-rects.floating[len]+(isOriginSide&&((_middlewareData$offse=middlewareData.offset)==null?void 0:_middlewareData$offse[crossAxis])||0)+(isOriginSide?0:computedOffset.crossAxis),limitMax=rects.reference[crossAxis]+rects.reference[len]+(isOriginSide?0:((_middlewareData$offse2=middlewareData.offset)==null?void 0:_middlewareData$offse2[crossAxis])||0)-(isOriginSide?computedOffset.
+crossAxis:0);crossAxisCoord<limitMin?crossAxisCoord=limitMin:crossAxisCoord>limitMax&&(crossAxisCoord=limitMax)}return{[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord}}}},size$1=function(options){return options===void 0&&(options={}),{name:"size",options,async fn(state2){var _state$middlewareData,_state$middlewareData2;const{placement,rects,platform:platform2,elements}=state2,{apply=()=>{},...detectOverflowOptions}=evaluate(options,state2),overflow=await detectOverflow(state2,detectOverflowOptions),
+side=getSide$1(placement),alignment=getAlignment(placement),isYAxis=getSideAxis(placement)==="y",{width,height}=rects.floating;let heightSide,widthSide;side==="top"||side==="bottom"?(heightSide=side,widthSide=alignment===(await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating))?"start":"end")?"left":"right"):(widthSide=side,heightSide=alignment==="end"?"top":"bottom");const maximumClippingHeight=height-overflow.top-overflow.bottom,maximumClippingWidth=width-overflow.left-overflow.right,
+overflowAvailableHeight=min(height-overflow[heightSide],maximumClippingHeight),overflowAvailableWidth=min(width-overflow[widthSide],maximumClippingWidth),noShift=!state2.middlewareData.shift;let availableHeight=overflowAvailableHeight,availableWidth=overflowAvailableWidth;if((_state$middlewareData=state2.middlewareData.shift)!=null&&_state$middlewareData.enabled.x&&(availableWidth=maximumClippingWidth),(_state$middlewareData2=state2.middlewareData.shift)!=null&&_state$middlewareData2.enabled.y&&
+(availableHeight=maximumClippingHeight),noShift&&!alignment){const xMin=max(overflow.left,0),xMax=max(overflow.right,0),yMin=max(overflow.top,0),yMax=max(overflow.bottom,0);isYAxis?availableWidth=width-2*(xMin!==0||xMax!==0?xMin+xMax:max(overflow.left,overflow.right)):availableHeight=height-2*(yMin!==0||yMax!==0?yMin+yMax:max(overflow.top,overflow.bottom))}await apply({...state2,availableWidth,availableHeight});const nextDimensions=await platform2.getDimensions(elements.floating);return width!==
+nextDimensions.width||height!==nextDimensions.height?{reset:{rects:!0}}:{}}}};function hasWindow(){return typeof window<"u"}function getNodeName(node2){return isNode(node2)?(node2.nodeName||"").toLowerCase():"#document"}function getWindow(node2){var _node$ownerDocument;return(node2==null||(_node$ownerDocument=node2.ownerDocument)==null?void 0:_node$ownerDocument.defaultView)||window}function getDocumentElement(node2){var _ref;return(_ref=(isNode(node2)?node2.ownerDocument:node2.document)||window.
+document)==null?void 0:_ref.documentElement}function isNode(value){return hasWindow()?value instanceof Node||value instanceof getWindow(value).Node:!1}function isElement(value){return hasWindow()?value instanceof Element||value instanceof getWindow(value).Element:!1}function isHTMLElement(value){return hasWindow()?value instanceof HTMLElement||value instanceof getWindow(value).HTMLElement:!1}function isShadowRoot(value){return!hasWindow()||typeof ShadowRoot>"u"?!1:value instanceof ShadowRoot||value instanceof
+getWindow(value).ShadowRoot}const invalidOverflowDisplayValues=new Set(["inline","contents"]);function isOverflowElement(element2){const{overflow,overflowX,overflowY,display}=getComputedStyle$1(element2);return/auto|scroll|overlay|hidden|clip/.test(overflow+overflowY+overflowX)&&!invalidOverflowDisplayValues.has(display)}const tableElements=new Set(["table","td","th"]);function isTableElement(element2){return tableElements.has(getNodeName(element2))}const topLayerSelectors=[":popover-open",":mod\
+al"];function isTopLayer(element2){return topLayerSelectors.some(selector=>{try{return element2.matches(selector)}catch{return!1}})}const transformProperties=["transform","translate","scale","rotate","perspective"],willChangeValues=["transform","translate","scale","rotate","perspective","filter"],containValues=["paint","layout","strict","content"];function isContainingBlock(elementOrCss){const webkit=isWebKit(),css2=isElement(elementOrCss)?getComputedStyle$1(elementOrCss):elementOrCss;return transformProperties.
+some(value=>css2[value]?css2[value]!=="none":!1)||(css2.containerType?css2.containerType!=="normal":!1)||!webkit&&(css2.backdropFilter?css2.backdropFilter!=="none":!1)||!webkit&&(css2.filter?css2.filter!=="none":!1)||willChangeValues.some(value=>(css2.willChange||"").includes(value))||containValues.some(value=>(css2.contain||"").includes(value))}function getContainingBlock(element2){let currentNode=getParentNode(element2);for(;isHTMLElement(currentNode)&&!isLastTraversableNode(currentNode);){if(isContainingBlock(
+currentNode))return currentNode;if(isTopLayer(currentNode))return null;currentNode=getParentNode(currentNode)}return null}function isWebKit(){return typeof CSS>"u"||!CSS.supports?!1:CSS.supports("-webkit-backdrop-filter","none")}const lastTraversableNodeNames=new Set(["html","body","#document"]);function isLastTraversableNode(node2){return lastTraversableNodeNames.has(getNodeName(node2))}function getComputedStyle$1(element2){return getWindow(element2).getComputedStyle(element2)}function getNodeScroll(element2){
+return isElement(element2)?{scrollLeft:element2.scrollLeft,scrollTop:element2.scrollTop}:{scrollLeft:element2.scrollX,scrollTop:element2.scrollY}}function getParentNode(node2){if(getNodeName(node2)==="html")return node2;const result=node2.assignedSlot||node2.parentNode||isShadowRoot(node2)&&node2.host||getDocumentElement(node2);return isShadowRoot(result)?result.host:result}function getNearestOverflowAncestor(node2){const parentNode=getParentNode(node2);return isLastTraversableNode(parentNode)?node2.
+ownerDocument?node2.ownerDocument.body:node2.body:isHTMLElement(parentNode)&&isOverflowElement(parentNode)?parentNode:getNearestOverflowAncestor(parentNode)}function getOverflowAncestors(node2,list2,traverseIframes){var _node$ownerDocument2;list2===void 0&&(list2=[]),traverseIframes===void 0&&(traverseIframes=!0);const scrollableAncestor=getNearestOverflowAncestor(node2),isBody=scrollableAncestor===((_node$ownerDocument2=node2.ownerDocument)==null?void 0:_node$ownerDocument2.body),win=getWindow(
+scrollableAncestor);if(isBody){const frameElement=getFrameElement(win);return list2.concat(win,win.visualViewport||[],isOverflowElement(scrollableAncestor)?scrollableAncestor:[],frameElement&&traverseIframes?getOverflowAncestors(frameElement):[])}return list2.concat(scrollableAncestor,getOverflowAncestors(scrollableAncestor,[],traverseIframes))}function getFrameElement(win){return win.parent&&Object.getPrototypeOf(win.parent)?win.frameElement:null}function getCssDimensions(element2){const css2=getComputedStyle$1(
+element2);let width=parseFloat(css2.width)||0,height=parseFloat(css2.height)||0;const hasOffset=isHTMLElement(element2),offsetWidth=hasOffset?element2.offsetWidth:width,offsetHeight=hasOffset?element2.offsetHeight:height,shouldFallback=round(width)!==offsetWidth||round(height)!==offsetHeight;return shouldFallback&&(width=offsetWidth,height=offsetHeight),{width,height,$:shouldFallback}}function unwrapElement(element2){return isElement(element2)?element2:element2.contextElement}function getScale(element2){
+const domElement=unwrapElement(element2);if(!isHTMLElement(domElement))return createCoords(1);const rect=domElement.getBoundingClientRect(),{width,height,$}=getCssDimensions(domElement);let x=($?round(rect.width):rect.width)/width,y=($?round(rect.height):rect.height)/height;return(!x||!Number.isFinite(x))&&(x=1),(!y||!Number.isFinite(y))&&(y=1),{x,y}}const noOffsets=createCoords(0);function getVisualOffsets(element2){const win=getWindow(element2);return!isWebKit()||!win.visualViewport?noOffsets:
+{x:win.visualViewport.offsetLeft,y:win.visualViewport.offsetTop}}function shouldAddVisualOffsets(element2,isFixed,floatingOffsetParent){return isFixed===void 0&&(isFixed=!1),!floatingOffsetParent||isFixed&&floatingOffsetParent!==getWindow(element2)?!1:isFixed}function getBoundingClientRect(element2,includeScale,isFixedStrategy,offsetParent){includeScale===void 0&&(includeScale=!1),isFixedStrategy===void 0&&(isFixedStrategy=!1);const clientRect=element2.getBoundingClientRect(),domElement=unwrapElement(
+element2);let scale2=createCoords(1);includeScale&&(offsetParent?isElement(offsetParent)&&(scale2=getScale(offsetParent)):scale2=getScale(element2));const visualOffsets=shouldAddVisualOffsets(domElement,isFixedStrategy,offsetParent)?getVisualOffsets(domElement):createCoords(0);let x=(clientRect.left+visualOffsets.x)/scale2.x,y=(clientRect.top+visualOffsets.y)/scale2.y,width=clientRect.width/scale2.x,height=clientRect.height/scale2.y;if(domElement){const win=getWindow(domElement),offsetWin=offsetParent&&
+isElement(offsetParent)?getWindow(offsetParent):offsetParent;let currentWin=win,currentIFrame=getFrameElement(currentWin);for(;currentIFrame&&offsetParent&&offsetWin!==currentWin;){const iframeScale=getScale(currentIFrame),iframeRect=currentIFrame.getBoundingClientRect(),css2=getComputedStyle$1(currentIFrame),left=iframeRect.left+(currentIFrame.clientLeft+parseFloat(css2.paddingLeft))*iframeScale.x,top=iframeRect.top+(currentIFrame.clientTop+parseFloat(css2.paddingTop))*iframeScale.y;x*=iframeScale.
+x,y*=iframeScale.y,width*=iframeScale.x,height*=iframeScale.y,x+=left,y+=top,currentWin=getWindow(currentIFrame),currentIFrame=getFrameElement(currentWin)}}return rectToClientRect({width,height,x,y})}function getWindowScrollBarX(element2,rect){const leftScroll=getNodeScroll(element2).scrollLeft;return rect?rect.left+leftScroll:getBoundingClientRect(getDocumentElement(element2)).left+leftScroll}function getHTMLOffset(documentElement,scroll,ignoreScrollbarX){ignoreScrollbarX===void 0&&(ignoreScrollbarX=
+!1);const htmlRect=documentElement.getBoundingClientRect(),x=htmlRect.left+scroll.scrollLeft-(ignoreScrollbarX?0:getWindowScrollBarX(documentElement,htmlRect)),y=htmlRect.top+scroll.scrollTop;return{x,y}}function convertOffsetParentRelativeRectToViewportRelativeRect(_ref){let{elements,rect,offsetParent,strategy}=_ref;const isFixed=strategy==="fixed",documentElement=getDocumentElement(offsetParent),topLayer=elements?isTopLayer(elements.floating):!1;if(offsetParent===documentElement||topLayer&&isFixed)
+return rect;let scroll={scrollLeft:0,scrollTop:0},scale2=createCoords(1);const offsets=createCoords(0),isOffsetParentAnElement=isHTMLElement(offsetParent);if((isOffsetParentAnElement||!isOffsetParentAnElement&&!isFixed)&&((getNodeName(offsetParent)!=="body"||isOverflowElement(documentElement))&&(scroll=getNodeScroll(offsetParent)),isHTMLElement(offsetParent))){const offsetRect=getBoundingClientRect(offsetParent);scale2=getScale(offsetParent),offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.
+y=offsetRect.y+offsetParent.clientTop}const htmlOffset=documentElement&&!isOffsetParentAnElement&&!isFixed?getHTMLOffset(documentElement,scroll,!0):createCoords(0);return{width:rect.width*scale2.x,height:rect.height*scale2.y,x:rect.x*scale2.x-scroll.scrollLeft*scale2.x+offsets.x+htmlOffset.x,y:rect.y*scale2.y-scroll.scrollTop*scale2.y+offsets.y+htmlOffset.y}}function getClientRects(element2){return Array.from(element2.getClientRects())}function getDocumentRect(element2){const html2=getDocumentElement(
+element2),scroll=getNodeScroll(element2),body2=element2.ownerDocument.body,width=max(html2.scrollWidth,html2.clientWidth,body2.scrollWidth,body2.clientWidth),height=max(html2.scrollHeight,html2.clientHeight,body2.scrollHeight,body2.clientHeight);let x=-scroll.scrollLeft+getWindowScrollBarX(element2);const y=-scroll.scrollTop;return getComputedStyle$1(body2).direction==="rtl"&&(x+=max(html2.clientWidth,body2.clientWidth)-width),{width,height,x,y}}function getViewportRect(element2,strategy){const win=getWindow(
+element2),html2=getDocumentElement(element2),visualViewport=win.visualViewport;let width=html2.clientWidth,height=html2.clientHeight,x=0,y=0;if(visualViewport){width=visualViewport.width,height=visualViewport.height;const visualViewportBased=isWebKit();(!visualViewportBased||visualViewportBased&&strategy==="fixed")&&(x=visualViewport.offsetLeft,y=visualViewport.offsetTop)}return{width,height,x,y}}const absoluteOrFixed=new Set(["absolute","fixed"]);function getInnerBoundingClientRect(element2,strategy){
+const clientRect=getBoundingClientRect(element2,!0,strategy==="fixed"),top=clientRect.top+element2.clientTop,left=clientRect.left+element2.clientLeft,scale2=isHTMLElement(element2)?getScale(element2):createCoords(1),width=element2.clientWidth*scale2.x,height=element2.clientHeight*scale2.y,x=left*scale2.x,y=top*scale2.y;return{width,height,x,y}}function getClientRectFromClippingAncestor(element2,clippingAncestor,strategy){let rect;if(clippingAncestor==="viewport")rect=getViewportRect(element2,strategy);else if(clippingAncestor===
+"document")rect=getDocumentRect(getDocumentElement(element2));else if(isElement(clippingAncestor))rect=getInnerBoundingClientRect(clippingAncestor,strategy);else{const visualOffsets=getVisualOffsets(element2);rect={x:clippingAncestor.x-visualOffsets.x,y:clippingAncestor.y-visualOffsets.y,width:clippingAncestor.width,height:clippingAncestor.height}}return rectToClientRect(rect)}function hasFixedPositionAncestor(element2,stopNode){const parentNode=getParentNode(element2);return parentNode===stopNode||
+!isElement(parentNode)||isLastTraversableNode(parentNode)?!1:getComputedStyle$1(parentNode).position==="fixed"||hasFixedPositionAncestor(parentNode,stopNode)}function getClippingElementAncestors(element2,cache2){const cachedResult=cache2.get(element2);if(cachedResult)return cachedResult;let result=getOverflowAncestors(element2,[],!1).filter(el=>isElement(el)&&getNodeName(el)!=="body"),currentContainingBlockComputedStyle=null;const elementIsFixed=getComputedStyle$1(element2).position==="fixed";let currentNode=elementIsFixed?
+getParentNode(element2):element2;for(;isElement(currentNode)&&!isLastTraversableNode(currentNode);){const computedStyle=getComputedStyle$1(currentNode),currentNodeIsContaining=isContainingBlock(currentNode);!currentNodeIsContaining&&computedStyle.position==="fixed"&&(currentContainingBlockComputedStyle=null),(elementIsFixed?!currentNodeIsContaining&&!currentContainingBlockComputedStyle:!currentNodeIsContaining&&computedStyle.position==="static"&&!!currentContainingBlockComputedStyle&&absoluteOrFixed.
+has(currentContainingBlockComputedStyle.position)||isOverflowElement(currentNode)&&!currentNodeIsContaining&&hasFixedPositionAncestor(element2,currentNode))?result=result.filter(ancestor=>ancestor!==currentNode):currentContainingBlockComputedStyle=computedStyle,currentNode=getParentNode(currentNode)}return cache2.set(element2,result),result}function getClippingRect(_ref){let{element:element2,boundary:boundary2,rootBoundary,strategy}=_ref;const clippingAncestors=[...boundary2==="clippingAncestors"?
+isTopLayer(element2)?[]:getClippingElementAncestors(element2,this._c):[].concat(boundary2),rootBoundary],firstClippingAncestor=clippingAncestors[0],clippingRect=clippingAncestors.reduce((accRect,clippingAncestor)=>{const rect=getClientRectFromClippingAncestor(element2,clippingAncestor,strategy);return accRect.top=max(rect.top,accRect.top),accRect.right=min(rect.right,accRect.right),accRect.bottom=min(rect.bottom,accRect.bottom),accRect.left=max(rect.left,accRect.left),accRect},getClientRectFromClippingAncestor(
+element2,firstClippingAncestor,strategy));return{width:clippingRect.right-clippingRect.left,height:clippingRect.bottom-clippingRect.top,x:clippingRect.left,y:clippingRect.top}}function getDimensions(element2){const{width,height}=getCssDimensions(element2);return{width,height}}function getRectRelativeToOffsetParent(element2,offsetParent,strategy){const isOffsetParentAnElement=isHTMLElement(offsetParent),documentElement=getDocumentElement(offsetParent),isFixed=strategy==="fixed",rect=getBoundingClientRect(
+element2,!0,isFixed,offsetParent);let scroll={scrollLeft:0,scrollTop:0};const offsets=createCoords(0);function setLeftRTLScrollbarOffset(){offsets.x=getWindowScrollBarX(documentElement)}if(isOffsetParentAnElement||!isOffsetParentAnElement&&!isFixed)if((getNodeName(offsetParent)!=="body"||isOverflowElement(documentElement))&&(scroll=getNodeScroll(offsetParent)),isOffsetParentAnElement){const offsetRect=getBoundingClientRect(offsetParent,!0,isFixed,offsetParent);offsets.x=offsetRect.x+offsetParent.
+clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}else documentElement&&setLeftRTLScrollbarOffset();isFixed&&!isOffsetParentAnElement&&documentElement&&setLeftRTLScrollbarOffset();const htmlOffset=documentElement&&!isOffsetParentAnElement&&!isFixed?getHTMLOffset(documentElement,scroll):createCoords(0),x=rect.left+scroll.scrollLeft-offsets.x-htmlOffset.x,y=rect.top+scroll.scrollTop-offsets.y-htmlOffset.y;return{x,y,width:rect.width,height:rect.height}}function isStaticPositioned(element2){
+return getComputedStyle$1(element2).position==="static"}function getTrueOffsetParent(element2,polyfill){if(!isHTMLElement(element2)||getComputedStyle$1(element2).position==="fixed")return null;if(polyfill)return polyfill(element2);let rawOffsetParent=element2.offsetParent;return getDocumentElement(element2)===rawOffsetParent&&(rawOffsetParent=rawOffsetParent.ownerDocument.body),rawOffsetParent}function getOffsetParent(element2,polyfill){const win=getWindow(element2);if(isTopLayer(element2))return win;
+if(!isHTMLElement(element2)){let svgOffsetParent=getParentNode(element2);for(;svgOffsetParent&&!isLastTraversableNode(svgOffsetParent);){if(isElement(svgOffsetParent)&&!isStaticPositioned(svgOffsetParent))return svgOffsetParent;svgOffsetParent=getParentNode(svgOffsetParent)}return win}let offsetParent=getTrueOffsetParent(element2,polyfill);for(;offsetParent&&isTableElement(offsetParent)&&isStaticPositioned(offsetParent);)offsetParent=getTrueOffsetParent(offsetParent,polyfill);return offsetParent&&
+isLastTraversableNode(offsetParent)&&isStaticPositioned(offsetParent)&&!isContainingBlock(offsetParent)?win:offsetParent||getContainingBlock(element2)||win}const getElementRects=async function(data){const getOffsetParentFn=this.getOffsetParent||getOffsetParent,getDimensionsFn=this.getDimensions,floatingDimensions=await getDimensionsFn(data.floating);return{reference:getRectRelativeToOffsetParent(data.reference,await getOffsetParentFn(data.floating),data.strategy),floating:{x:0,y:0,width:floatingDimensions.
+width,height:floatingDimensions.height}}};function isRTL(element2){return getComputedStyle$1(element2).direction==="rtl"}const platform={convertOffsetParentRelativeRectToViewportRelativeRect,getDocumentElement,getClippingRect,getOffsetParent,getElementRects,getClientRects,getDimensions,getScale,isElement,isRTL};function rectsAreEqual(a,b){return a.x===b.x&&a.y===b.y&&a.width===b.width&&a.height===b.height}function observeMove(element2,onMove){let io=null,timeoutId;const root2=getDocumentElement(
+element2);function cleanup(){var _io;clearTimeout(timeoutId),(_io=io)==null||_io.disconnect(),io=null}function refresh(skip,threshold){skip===void 0&&(skip=!1),threshold===void 0&&(threshold=1),cleanup();const elementRectForRootMargin=element2.getBoundingClientRect(),{left,top,width,height}=elementRectForRootMargin;if(skip||onMove(),!width||!height)return;const insetTop=floor(top),insetRight=floor(root2.clientWidth-(left+width)),insetBottom=floor(root2.clientHeight-(top+height)),insetLeft=floor(
+left),options={rootMargin:-insetTop+"px "+-insetRight+"px "+-insetBottom+"px "+-insetLeft+"px",threshold:max(0,min(1,threshold))||1};let isFirstUpdate=!0;function handleObserve(entries){const ratio=entries[0].intersectionRatio;if(ratio!==threshold){if(!isFirstUpdate)return refresh();ratio?refresh(!1,ratio):timeoutId=setTimeout(()=>{refresh(!1,1e-7)},1e3)}ratio===1&&!rectsAreEqual(elementRectForRootMargin,element2.getBoundingClientRect())&&refresh(),isFirstUpdate=!1}try{io=new IntersectionObserver(
+handleObserve,{...options,root:root2.ownerDocument})}catch{io=new IntersectionObserver(handleObserve,options)}io.observe(element2)}return refresh(!0),cleanup}function autoUpdate(reference,floating,update2,options){options===void 0&&(options={});const{ancestorScroll=!0,ancestorResize=!0,elementResize=typeof ResizeObserver=="function",layoutShift=typeof IntersectionObserver=="function",animationFrame=!1}=options,referenceEl=unwrapElement(reference),ancestors=ancestorScroll||ancestorResize?[...referenceEl?
+getOverflowAncestors(referenceEl):[],...getOverflowAncestors(floating)]:[];ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.addEventListener("scroll",update2,{passive:!0}),ancestorResize&&ancestor.addEventListener("resize",update2)});const cleanupIo=referenceEl&&layoutShift?observeMove(referenceEl,update2):null;let reobserveFrame=-1,resizeObserver=null;elementResize&&(resizeObserver=new ResizeObserver(_ref=>{let[firstEntry]=_ref;firstEntry&&firstEntry.target===referenceEl&&resizeObserver&&(resizeObserver.
+unobserve(floating),cancelAnimationFrame(reobserveFrame),reobserveFrame=requestAnimationFrame(()=>{var _resizeObserver;(_resizeObserver=resizeObserver)==null||_resizeObserver.observe(floating)})),update2()}),referenceEl&&!animationFrame&&resizeObserver.observe(referenceEl),resizeObserver.observe(floating));let frameId,prevRefRect=animationFrame?getBoundingClientRect(reference):null;animationFrame&&frameLoop();function frameLoop(){const nextRefRect=getBoundingClientRect(reference);prevRefRect&&!rectsAreEqual(
+prevRefRect,nextRefRect)&&update2(),prevRefRect=nextRefRect,frameId=requestAnimationFrame(frameLoop)}return update2(),()=>{var _resizeObserver2;ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.removeEventListener("scroll",update2),ancestorResize&&ancestor.removeEventListener("resize",update2)}),cleanupIo?.(),(_resizeObserver2=resizeObserver)==null||_resizeObserver2.disconnect(),resizeObserver=null,animationFrame&&cancelAnimationFrame(frameId)}}const offset=offset$1,shift=shift$1,flip=flip$1,
+size=size$1,hide=hide$1,arrow=arrow$1,limitShift=limitShift$1,computePosition=(reference,floating,options)=>{const cache2=new Map,mergedOptions={platform,...options},platformWithCache={...mergedOptions.platform,_c:cache2};return computePosition$1(reference,floating,{...mergedOptions,platform:platformWithCache})};function get(valueOrGetValue){return typeof valueOrGetValue=="function"?valueOrGetValue():valueOrGetValue}function getDPR(element2){return typeof window>"u"?1:(element2.ownerDocument.defaultView||
+window).devicePixelRatio||1}function roundByDPR(element2,value){const dpr=getDPR(element2);return Math.round(value*dpr)/dpr}function getFloatingContentCSSVars(name){return{[`--bits-${name}-content-transform-origin`]:"var(--bits-floating-transform-origin)",[`--bits-${name}-content-available-width`]:"var(--bits-floating-available-width)",[`--bits-${name}-content-available-height`]:"var(--bits-floating-available-height)",[`--bits-${name}-anchor-width`]:"var(--bits-floating-anchor-width)",[`--bits-${name}\
+-anchor-height`]:"var(--bits-floating-anchor-height)"}}function useFloating(options){const whileElementsMountedOption=options.whileElementsMounted,openOption=user_derived(()=>get(options.open)??!0),middlewareOption=user_derived(()=>get(options.middleware)),transformOption=user_derived(()=>get(options.transform)??!0),placementOption=user_derived(()=>get(options.placement)??"bottom"),strategyOption=user_derived(()=>get(options.strategy)??"absolute"),sideOffsetOption=user_derived(()=>get(options.sideOffset)??
+0),alignOffsetOption=user_derived(()=>get(options.alignOffset)??0),reference=options.reference;let x=state$1(0),y=state$1(0);const floating=simpleBox(null);let strategy=state$1(proxy(get$4(strategyOption))),placement=state$1(proxy(get$4(placementOption))),middlewareData=state$1(proxy({})),isPositioned=state$1(!1);const floatingStyles=user_derived(()=>{const xVal=floating.current?roundByDPR(floating.current,get$4(x)):get$4(x),yVal=floating.current?roundByDPR(floating.current,get$4(y)):get$4(y);return get$4(
+transformOption)?{position:get$4(strategy),left:"0",top:"0",transform:`translate(${xVal}px, ${yVal}px)`,...floating.current&&getDPR(floating.current)>=1.5&&{willChange:"transform"}}:{position:get$4(strategy),left:`${xVal}px`,top:`${yVal}px`}});let whileElementsMountedCleanup;function update2(){reference.current===null||floating.current===null||computePosition(reference.current,floating.current,{middleware:get$4(middlewareOption),placement:get$4(placementOption),strategy:get$4(strategyOption)}).then(
+position2=>{if(!get$4(openOption)&&get$4(x)!==0&&get$4(y)!==0){const maxExpectedOffset=Math.max(Math.abs(get$4(sideOffsetOption)),Math.abs(get$4(alignOffsetOption)),15);if(position2.x<=maxExpectedOffset&&position2.y<=maxExpectedOffset)return}set$1(x,position2.x,!0),set$1(y,position2.y,!0),set$1(strategy,position2.strategy,!0),set$1(placement,position2.placement,!0),set$1(middlewareData,position2.middlewareData,!0),set$1(isPositioned,!0)})}function cleanup(){typeof whileElementsMountedCleanup=="f\
+unction"&&(whileElementsMountedCleanup(),whileElementsMountedCleanup=void 0)}function attach2(){if(cleanup(),whileElementsMountedOption===void 0){update2();return}reference.current===null||floating.current===null||(whileElementsMountedCleanup=whileElementsMountedOption(reference.current,floating.current,update2))}function reset2(){get$4(openOption)||set$1(isPositioned,!1)}return user_effect(update2),user_effect(attach2),user_effect(reset2),user_effect(()=>cleanup),{floating,reference,get strategy(){
+return get$4(strategy)},get placement(){return get$4(placement)},get middlewareData(){return get$4(middlewareData)},get isPositioned(){return get$4(isPositioned)},get floatingStyles(){return get$4(floatingStyles)},get update(){return update2}}}const OPPOSITE_SIDE={top:"bottom",right:"left",bottom:"top",left:"right"},FloatingRootContext=new Context$1("Floating.Root"),FloatingContentContext=new Context$1("Floating.Content"),FloatingTooltipRootContext=new Context$1("Floating.Root");class FloatingRootState{static create(tooltip=!1){
+return tooltip?FloatingTooltipRootContext.set(new FloatingRootState):FloatingRootContext.set(new FloatingRootState)}anchorNode=simpleBox(null);customAnchorNode=simpleBox(null);triggerNode=simpleBox(null);constructor(){user_effect(()=>{this.customAnchorNode.current?typeof this.customAnchorNode.current=="string"?this.anchorNode.current=document.querySelector(this.customAnchorNode.current):this.anchorNode.current=this.customAnchorNode.current:this.anchorNode.current=this.triggerNode.current})}}class FloatingContentState{static create(opts,tooltip=!1){
+return tooltip?FloatingContentContext.set(new FloatingContentState(opts,FloatingTooltipRootContext.get())):FloatingContentContext.set(new FloatingContentState(opts,FloatingRootContext.get()))}opts;root;contentRef=simpleBox(null);wrapperRef=simpleBox(null);arrowRef=simpleBox(null);contentAttachment=attachRef(this.contentRef);wrapperAttachment=attachRef(this.wrapperRef);arrowAttachment=attachRef(this.arrowRef);arrowId=simpleBox(useId());#transformedStyle=user_derived(()=>{if(typeof this.opts.style==
+"string")return cssToStyleObj(this.opts.style);if(!this.opts.style)return{}});#updatePositionStrategy=void 0;#arrowSize=new ElementSize(()=>this.arrowRef.current??void 0);#arrowWidth=user_derived(()=>this.#arrowSize?.width??0);#arrowHeight=user_derived(()=>this.#arrowSize?.height??0);#desiredPlacement=user_derived(()=>this.opts.side?.current+(this.opts.align.current!=="center"?`-${this.opts.align.current}`:""));#boundary=user_derived(()=>Array.isArray(this.opts.collisionBoundary.current)?this.opts.
+collisionBoundary.current:[this.opts.collisionBoundary.current]);#hasExplicitBoundaries=user_derived(()=>get$4(this.#boundary).length>0);get hasExplicitBoundaries(){return get$4(this.#hasExplicitBoundaries)}set hasExplicitBoundaries(value){set$1(this.#hasExplicitBoundaries,value)}#detectOverflowOptions=user_derived(()=>({padding:this.opts.collisionPadding.current,boundary:get$4(this.#boundary).filter(isNotNull),altBoundary:this.hasExplicitBoundaries}));get detectOverflowOptions(){return get$4(this.#detectOverflowOptions)}set detectOverflowOptions(value){
+set$1(this.#detectOverflowOptions,value)}#availableWidth=state$1(void 0);#availableHeight=state$1(void 0);#anchorWidth=state$1(void 0);#anchorHeight=state$1(void 0);#middleware=user_derived(()=>[offset({mainAxis:this.opts.sideOffset.current+get$4(this.#arrowHeight),alignmentAxis:this.opts.alignOffset.current}),this.opts.avoidCollisions.current&&shift({mainAxis:!0,crossAxis:!1,limiter:this.opts.sticky.current==="partial"?limitShift():void 0,...this.detectOverflowOptions}),this.opts.avoidCollisions.
+current&&flip({...this.detectOverflowOptions}),size({...this.detectOverflowOptions,apply:({rects,availableWidth,availableHeight})=>{const{width:anchorWidth,height:anchorHeight}=rects.reference;set$1(this.#availableWidth,availableWidth,!0),set$1(this.#availableHeight,availableHeight,!0),set$1(this.#anchorWidth,anchorWidth,!0),set$1(this.#anchorHeight,anchorHeight,!0)}}),this.arrowRef.current&&arrow({element:this.arrowRef.current,padding:this.opts.arrowPadding.current}),transformOrigin({arrowWidth:get$4(
+this.#arrowWidth),arrowHeight:get$4(this.#arrowHeight)}),this.opts.hideWhenDetached.current&&hide({strategy:"referenceHidden",...this.detectOverflowOptions})].filter(Boolean));get middleware(){return get$4(this.#middleware)}set middleware(value){set$1(this.#middleware,value)}floating;#placedSide=user_derived(()=>getSideFromPlacement(this.floating.placement));get placedSide(){return get$4(this.#placedSide)}set placedSide(value){set$1(this.#placedSide,value)}#placedAlign=user_derived(()=>getAlignFromPlacement(
+this.floating.placement));get placedAlign(){return get$4(this.#placedAlign)}set placedAlign(value){set$1(this.#placedAlign,value)}#arrowX=user_derived(()=>this.floating.middlewareData.arrow?.x??0);get arrowX(){return get$4(this.#arrowX)}set arrowX(value){set$1(this.#arrowX,value)}#arrowY=user_derived(()=>this.floating.middlewareData.arrow?.y??0);get arrowY(){return get$4(this.#arrowY)}set arrowY(value){set$1(this.#arrowY,value)}#cannotCenterArrow=user_derived(()=>this.floating.middlewareData.arrow?.
+centerOffset!==0);get cannotCenterArrow(){return get$4(this.#cannotCenterArrow)}set cannotCenterArrow(value){set$1(this.#cannotCenterArrow,value)}#contentZIndex=state$1();get contentZIndex(){return get$4(this.#contentZIndex)}set contentZIndex(value){set$1(this.#contentZIndex,value,!0)}#arrowBaseSide=user_derived(()=>OPPOSITE_SIDE[this.placedSide]);get arrowBaseSide(){return get$4(this.#arrowBaseSide)}set arrowBaseSide(value){set$1(this.#arrowBaseSide,value)}#wrapperProps=user_derived(()=>({id:this.
+opts.wrapperId.current,"data-bits-floating-content-wrapper":"",style:{...this.floating.floatingStyles,transform:this.floating.isPositioned?this.floating.floatingStyles.transform:"translate(0, -200%)",minWidth:"max-content",zIndex:this.contentZIndex,"--bits-floating-transform-origin":`${this.floating.middlewareData.transformOrigin?.x} ${this.floating.middlewareData.transformOrigin?.y}`,"--bits-floating-available-width":`${get$4(this.#availableWidth)}px`,"--bits-floating-available-height":`${get$4(
+this.#availableHeight)}px`,"--bits-floating-anchor-width":`${get$4(this.#anchorWidth)}px`,"--bits-floating-anchor-height":`${get$4(this.#anchorHeight)}px`,...this.floating.middlewareData.hide?.referenceHidden&&{visibility:"hidden","pointer-events":"none"},...get$4(this.#transformedStyle)},dir:this.opts.dir.current,...this.wrapperAttachment}));get wrapperProps(){return get$4(this.#wrapperProps)}set wrapperProps(value){set$1(this.#wrapperProps,value)}#props=user_derived(()=>({"data-side":this.placedSide,
+"data-align":this.placedAlign,style:styleToString$1({...get$4(this.#transformedStyle)}),...this.contentAttachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}#arrowStyle=user_derived(()=>({position:"absolute",left:this.arrowX?`${this.arrowX}px`:void 0,top:this.arrowY?`${this.arrowY}px`:void 0,[this.arrowBaseSide]:0,"transform-origin":{top:"",right:"0 0",bottom:"center 0",left:"100% 0"}[this.placedSide],transform:{top:"translateY(100%)",right:"translateY(50%\
+) rotate(90deg) translateX(-50%)",bottom:"rotate(180deg)",left:"translateY(50%) rotate(-90deg) translateX(50%)"}[this.placedSide],visibility:this.cannotCenterArrow?"hidden":void 0}));get arrowStyle(){return get$4(this.#arrowStyle)}set arrowStyle(value){set$1(this.#arrowStyle,value)}constructor(opts,root2){this.opts=opts,this.root=root2,opts.customAnchor&&(this.root.customAnchorNode.current=opts.customAnchor.current),watch$1(()=>opts.customAnchor.current,customAnchor=>{this.root.customAnchorNode.
+current=customAnchor}),this.floating=useFloating({strategy:()=>this.opts.strategy.current,placement:()=>get$4(this.#desiredPlacement),middleware:()=>this.middleware,reference:this.root.anchorNode,whileElementsMounted:(...args)=>autoUpdate(...args,{animationFrame:this.#updatePositionStrategy?.current==="always"}),open:()=>this.opts.enabled.current,sideOffset:()=>this.opts.sideOffset.current,alignOffset:()=>this.opts.alignOffset.current}),user_effect(()=>{this.floating.isPositioned&&this.opts.onPlaced?.
+current()}),watch$1(()=>this.contentRef.current,contentNode=>{if(!contentNode)return;const win=getWindow$1(contentNode);this.contentZIndex=win.getComputedStyle(contentNode).zIndex}),user_effect(()=>{this.floating.floating.current=this.wrapperRef.current})}}class FloatingArrowState{static create(opts){return new FloatingArrowState(opts,FloatingContentContext.get())}opts;content;constructor(opts,content2){this.opts=opts,this.content=content2}#props=user_derived(()=>({id:this.opts.id.current,style:this.
+content.arrowStyle,"data-side":this.content.placedSide,...this.content.arrowAttachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class FloatingAnchorState{static create(opts,tooltip=!1){return tooltip?new FloatingAnchorState(opts,FloatingTooltipRootContext.get()):new FloatingAnchorState(opts,FloatingRootContext.get())}opts;root;constructor(opts,root2){this.opts=opts,this.root=root2,opts.virtualEl&&opts.virtualEl.current?root2.triggerNode=boxFrom$1(opts.virtualEl.
+current):root2.triggerNode=opts.ref}}function transformOrigin(options){return{name:"transformOrigin",options,fn(data){const{placement,rects,middlewareData}=data,isArrowHidden=middlewareData.arrow?.centerOffset!==0,arrowWidth=isArrowHidden?0:options.arrowWidth,arrowHeight=isArrowHidden?0:options.arrowHeight,[placedSide,placedAlign]=getSideAndAlignFromPlacement(placement),noArrowAlign={start:"0%",center:"50%",end:"100%"}[placedAlign],arrowXCenter=(middlewareData.arrow?.x??0)+arrowWidth/2,arrowYCenter=(middlewareData.
+arrow?.y??0)+arrowHeight/2;let x="",y="";return placedSide==="bottom"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${-arrowHeight}px`):placedSide==="top"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${rects.floating.height+arrowHeight}px`):placedSide==="right"?(x=`${-arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`):placedSide==="left"&&(x=`${rects.floating.width+arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`),{data:{x,y}}}}}function getSideAndAlignFromPlacement(placement){
+const[side,align="center"]=placement.split("-");return[side,align]}function getSideFromPlacement(placement){return getSideAndAlignFromPlacement(placement)[0]}function getAlignFromPlacement(placement){return getSideAndAlignFromPlacement(placement)[1]}function Floating_layer($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingRootState.create(tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,
+fragment),pop()}class DataTypeahead{#opts;#candidateValues=user_derived(()=>this.#opts.candidateValues());#search;constructor(opts){this.#opts=opts,this.#search=boxAutoReset("",{afterMs:1e3,getWindow:this.#opts.getWindow}),this.handleTypeaheadSearch=this.handleTypeaheadSearch.bind(this),this.resetTypeahead=this.resetTypeahead.bind(this)}handleTypeaheadSearch(key2){if(!this.#opts.enabled()||!get$4(this.#candidateValues).length)return;this.#search.current=this.#search.current+key2;const currentItem=this.#opts.
+getCurrentItem(),currentMatch=get$4(this.#candidateValues).find(item=>item===currentItem)??"",values=get$4(this.#candidateValues).map(item=>item??""),nextMatch=getNextMatch(values,this.#search.current,currentMatch),newItem=get$4(this.#candidateValues).find(item=>item===nextMatch);return newItem&&this.#opts.onMatch(newItem),newItem}resetTypeahead(){this.#search.current=""}}const FIRST_KEYS=[ARROW_DOWN,PAGE_UP,HOME],LAST_KEYS=[ARROW_UP,PAGE_DOWN,END],FIRST_LAST_KEYS=[...FIRST_KEYS,...LAST_KEYS],selectAttrs=createBitsAttrs(
+{component:"select",parts:["trigger","content","item","viewport","scroll-up-button","scroll-down-button","group","group-label","separator","arrow","input","content-wrapper","item-text","value"]}),SelectRootContext=new Context$1("Select.Root | Combobox.Root"),SelectContentContext=new Context$1("Select.Content | Combobox.Content");class SelectBaseRootState{opts;#touchedInput=state$1(!1);get touchedInput(){return get$4(this.#touchedInput)}set touchedInput(value){set$1(this.#touchedInput,value,!0)}#inputNode=state$1(
+null);get inputNode(){return get$4(this.#inputNode)}set inputNode(value){set$1(this.#inputNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#viewportNode=state$1(null);get viewportNode(){return get$4(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode,value,!0)}#triggerNode=state$1(null);get triggerNode(){return get$4(this.#triggerNode)}set triggerNode(value){set$1(
+this.#triggerNode,value,!0)}#valueId=state$1("");get valueId(){return get$4(this.#valueId)}set valueId(value){set$1(this.#valueId,value,!0)}#highlightedNode=state$1(null);get highlightedNode(){return get$4(this.#highlightedNode)}set highlightedNode(value){set$1(this.#highlightedNode,value,!0)}#highlightedValue=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-value"):null);get highlightedValue(){return get$4(this.#highlightedValue)}set highlightedValue(value){set$1(this.#highlightedValue,
+value)}#highlightedId=user_derived(()=>{if(this.highlightedNode)return this.highlightedNode.id});get highlightedId(){return get$4(this.#highlightedId)}set highlightedId(value){set$1(this.#highlightedId,value)}#highlightedLabel=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-label"):null);get highlightedLabel(){return get$4(this.#highlightedLabel)}set highlightedLabel(value){set$1(this.#highlightedLabel,value)}isUsingKeyboard=!1;isCombobox=!1;domContext=new DOMContext(
+()=>null);constructor(opts){this.opts=opts,this.isCombobox=opts.isCombobox,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),user_pre_effect(()=>{this.opts.open.current||this.setHighlightedNode(null)})}setHighlightedNode(node2,initial=!1){this.highlightedNode=node2,node2&&(this.isUsingKeyboard||initial)&&node2.scrollIntoView({block:this.opts.scrollAlignment.current})}getCandidateNodes(){
+const node2=this.contentNode;return node2?Array.from(node2.querySelectorAll(`[${this.getBitsAttr("item")}]:not([data-disabled])`)):[]}setHighlightedToFirstCandidate(initial=!1){this.setHighlightedNode(null);let nodes2=this.getCandidateNodes();if(nodes2.length){if(this.viewportNode){const viewportRect=this.viewportNode.getBoundingClientRect();nodes2=nodes2.filter(node2=>{if(!this.viewportNode)return!1;const nodeRect=node2.getBoundingClientRect();return nodeRect.right<viewportRect.right&&nodeRect.
+left>viewportRect.left&&nodeRect.bottom<viewportRect.bottom&&nodeRect.top>viewportRect.top})}this.setHighlightedNode(nodes2[0],initial)}}getNodeByValue(value){return this.getCandidateNodes().find(node2=>node2.dataset.value===value)??null}setOpen(open2){this.opts.open.current=open2}toggleOpen(){this.opts.open.current=!this.opts.open.current}handleOpen(){this.setOpen(!0)}handleClose(){this.setHighlightedNode(null),this.setOpen(!1)}toggleMenu(){this.toggleOpen()}getBitsAttr=part=>selectAttrs.getAttr(
+part,this.isCombobox?"combobox":void 0)}class SelectSingleRootState extends SelectBaseRootState{opts;isMulti=!1;#hasValue=user_derived(()=>this.opts.value.current!=="");get hasValue(){return get$4(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}#currentLabel=user_derived(()=>this.opts.items.current.length?this.opts.items.current.find(item=>item.value===this.opts.value.current)?.label??"":"");get currentLabel(){return get$4(this.#currentLabel)}set currentLabel(value){set$1(this.#currentLabel,
+value)}#candidateLabels=user_derived(()=>this.opts.items.current.length?this.opts.items.current.filter(item=>!item.disabled).map(item=>item.label):[]);get candidateLabels(){return get$4(this.#candidateLabels)}set candidateLabels(value){set$1(this.#candidateLabels,value)}#dataTypeaheadEnabled=user_derived(()=>!(this.isMulti||this.opts.items.current.length===0));get dataTypeaheadEnabled(){return get$4(this.#dataTypeaheadEnabled)}set dataTypeaheadEnabled(value){set$1(this.#dataTypeaheadEnabled,value)}constructor(opts){
+super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current===itemValue}toggleItem(itemValue,itemLabel=itemValue){const newValue=this.includesItem(itemValue)?"":itemValue;this.opts.value.current=newValue,newValue!==""&&(this.opts.inputValue.current=itemLabel)}setInitialHighlightedNode(){
+afterTick(()=>{if(!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current!==""){const node2=this.getNodeByValue(this.opts.value.current);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectMultipleRootState extends SelectBaseRootState{opts;isMulti=!0;#hasValue=user_derived(()=>this.opts.value.current.length>0);get hasValue(){return get$4(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,
+value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current.includes(itemValue)}toggleItem(itemValue,itemLabel=itemValue){this.includesItem(itemValue)?this.opts.value.current=this.opts.value.current.filter(v=>v!==itemValue):this.opts.value.current=[...this.opts.
+value.current,itemValue],this.opts.inputValue.current=itemLabel}setInitialHighlightedNode(){afterTick(()=>{if(this.domContext&&!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current.length&&this.opts.value.current[0]!==""){const node2=this.getNodeByValue(this.opts.value.current[0]);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectRootState{static create(props){const{type:type2,...rest}=props,
+rootState=type2==="single"?new SelectSingleRootState(rest):new SelectMultipleRootState(rest);return SelectRootContext.set(rootState)}}class SelectTriggerState{static create(opts){return new SelectTriggerState(opts,SelectRootContext.get())}opts;root;attachment;#domTypeahead;#dataTypeahead;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.triggerNode=v),this.root.domContext=new DOMContext(opts.ref),this.#domTypeahead=new DOMTypeahead({getCurrentItem:()=>this.
+root.highlightedNode,onMatch:node2=>{this.root.setHighlightedNode(node2)},getActiveElement:()=>this.root.domContext.getActiveElement(),getWindow:()=>this.root.domContext.getWindow()}),this.#dataTypeahead=new DataTypeahead({getCurrentItem:()=>this.root.isMulti?"":this.root.currentLabel,onMatch:label=>{if(this.root.isMulti||!this.root.opts.items.current)return;const matchedItem=this.root.opts.items.current.find(item=>item.label===label);matchedItem&&(this.root.opts.value.current=matchedItem.value)},
+enabled:()=>!this.root.isMulti&&this.root.dataTypeaheadEnabled,candidateValues:()=>this.root.isMulti?[]:this.root.candidateLabels,getWindow:()=>this.root.domContext.getWindow()}),this.onkeydown=this.onkeydown.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onclick=this.onclick.bind(this)}#handleOpen(){this.root.opts.open.current=!0,this.#dataTypeahead.resetTypeahead(),this.#domTypeahead.resetTypeahead()}#handlePointerOpen(_){this.#handleOpen()}#handleKeyboardSelection(){
+const isCurrentSelectedValue=this.root.highlightedValue===this.root.opts.value.current;return!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti?(this.root.handleClose(),!0):(this.root.highlightedValue!==null&&this.root.toggleItem(this.root.highlightedValue,this.root.highlightedLabel??void 0),!this.root.isMulti&&!isCurrentSelectedValue?(this.root.handleClose(),!0):!1)}onkeydown(e){if(this.root.isUsingKeyboard=!0,(e.key===ARROW_UP||e.key===ARROW_DOWN)&&e.preventDefault(),
+!this.root.opts.open.current){if(e.key===ENTER||e.key===SPACE||e.key===ARROW_DOWN||e.key===ARROW_UP)e.preventDefault(),this.root.handleOpen();else if(!this.root.isMulti&&this.root.dataTypeaheadEnabled){this.#dataTypeahead.handleTypeaheadSearch(e.key);return}if(this.root.hasValue)return;const candidateNodes2=this.root.getCandidateNodes();if(!candidateNodes2.length)return;if(e.key===ARROW_DOWN){const firstCandidate=candidateNodes2[0];this.root.setHighlightedNode(firstCandidate)}else if(e.key===ARROW_UP){
+const lastCandidate=candidateNodes2[candidateNodes2.length-1];this.root.setHighlightedNode(lastCandidate)}return}if(e.key===TAB){this.root.handleClose();return}if((e.key===ENTER||e.key===SPACE&&this.#domTypeahead.search==="")&&!e.isComposing&&(e.preventDefault(),this.#handleKeyboardSelection()))return;if(e.key===ARROW_UP&&e.altKey&&this.root.handleClose(),FIRST_LAST_KEYS.includes(e.key)){e.preventDefault();const candidateNodes2=this.root.getCandidateNodes(),currHighlightedNode=this.root.highlightedNode,
+currIndex=currHighlightedNode?candidateNodes2.indexOf(currHighlightedNode):-1,loop2=this.root.opts.loop.current;let nextItem;if(e.key===ARROW_DOWN?nextItem=next(candidateNodes2,currIndex,loop2):e.key===ARROW_UP?nextItem=prev(candidateNodes2,currIndex,loop2):e.key===PAGE_DOWN?nextItem=forward(candidateNodes2,currIndex,10,loop2):e.key===PAGE_UP?nextItem=backward(candidateNodes2,currIndex,10,loop2):e.key===HOME?nextItem=candidateNodes2[0]:e.key===END&&(nextItem=candidateNodes2[candidateNodes2.length-
+1]),!nextItem)return;this.root.setHighlightedNode(nextItem);return}const isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1,isSpaceKey=e.key===SPACE,candidateNodes=this.root.getCandidateNodes();if(e.key!==TAB){if(!isModifierKey&&(isCharacterKey||isSpaceKey)){!this.#domTypeahead.handleTypeaheadSearch(e.key,candidateNodes)&&isSpaceKey&&(e.preventDefault(),this.#handleKeyboardSelection());return}this.root.highlightedNode||this.root.setHighlightedToFirstCandidate()}}onclick(e){
+e.currentTarget.focus()}onpointerdown(e){if(this.root.opts.disabled.current)return;if(e.pointerType==="touch")return e.preventDefault();const target2=e.target;target2?.hasPointerCapture(e.pointerId)&&target2?.releasePointerCapture(e.pointerId),e.button===0&&e.ctrlKey===!1&&(this.root.opts.open.current===!1?this.#handlePointerOpen(e):this.root.handleClose())}onpointerup(e){this.root.opts.disabled.current||(e.preventDefault(),e.pointerType==="touch"&&(this.root.opts.open.current===!1?this.#handlePointerOpen(
+e):this.root.handleClose()))}#props=user_derived(()=>({id:this.opts.id.current,disabled:this.root.opts.disabled.current?!0:void 0,"aria-haspopup":"listbox","aria-expanded":boolToStr(this.root.opts.open.current),"aria-activedescendant":this.root.highlightedId,"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.root.opts.disabled.current),"data-placeholder":this.root.hasValue?void 0:"",[this.root.getBitsAttr("trigger")]:"",onpointerdown:this.onpointerdown,
+onkeydown:this.onkeydown,onclick:this.onclick,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SelectContentState{static create(opts){return SelectContentContext.set(new SelectContentState(opts,SelectRootContext.get()))}opts;root;attachment;#isPositioned=state$1(!1);get isPositioned(){return get$4(this.#isPositioned)}set isPositioned(value){set$1(this.#isPositioned,value,!0)}domContext;constructor(opts,root2){
+this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.contentNode=v),this.domContext=new DOMContext(this.opts.ref),this.root.domContext===null&&(this.root.domContext=this.domContext),onDestroyEffect(()=>{this.root.contentNode=null,this.isPositioned=!1}),watch$1(()=>this.root.opts.open.current,()=>{this.root.opts.open.current||(this.isPositioned=!1)}),this.onpointermove=this.onpointermove.bind(this)}onpointermove(_){this.root.isUsingKeyboard=!1}#styles=user_derived(()=>getFloatingContentCSSVars(
+this.root.isCombobox?"combobox":"select"));onInteractOutside=e=>{if(e.target===this.root.triggerNode||e.target===this.root.inputNode){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(
+()=>({open:this.root.opts.open.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"listbox","aria-multiselectable":this.root.isMulti?"true":void 0,"data-state":getDataOpenClosed(this.root.opts.open.current),[this.root.getBitsAttr("content")]:"",style:{display:"flex",flexDirection:"column",outline:"none",boxSizing:"border-box",pointerEvents:"auto",...get$4(this.#styles)},onpointermove:this.
+onpointermove,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus,trapFocus:!1,loop:!1,onPlaced:()=>{this.root.opts.open.current&&(this.isPositioned=!0)}}}class SelectItemState{static create(opts){return new SelectItemState(opts,SelectRootContext.get())}opts;root;attachment;#isSelected=user_derived(
+()=>this.root.includesItem(this.opts.value.current));get isSelected(){return get$4(this.#isSelected)}set isSelected(value){set$1(this.#isSelected,value)}#isHighlighted=user_derived(()=>this.root.highlightedValue===this.opts.value.current);get isHighlighted(){return get$4(this.#isHighlighted)}set isHighlighted(value){set$1(this.#isHighlighted,value)}prevHighlighted=new Previous(()=>this.isHighlighted);#mounted=state$1(!1);get mounted(){return get$4(this.#mounted)}set mounted(value){set$1(this.#mounted,
+value,!0)}constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref),watch$1([()=>this.isHighlighted,()=>this.prevHighlighted.current],()=>{this.isHighlighted?this.opts.onHighlight.current():this.prevHighlighted.current&&this.opts.onUnhighlight.current()}),watch$1(()=>this.mounted,()=>{this.mounted&&this.root.setInitialHighlightedNode()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onpointermove=this.onpointermove.
+bind(this)}handleSelect(){if(this.opts.disabled.current)return;const isCurrentSelectedValue=this.opts.value.current===this.root.opts.value.current;if(!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti){this.root.handleClose();return}this.root.toggleItem(this.opts.value.current,this.opts.label.current),!this.root.isMulti&&!isCurrentSelectedValue&&this.root.handleClose()}#snippetProps=user_derived(()=>({selected:this.isSelected,highlighted:this.isHighlighted}));get snippetProps(){
+return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}onpointerdown(e){e.preventDefault()}onpointerup(e){if(!(e.defaultPrevented||!this.opts.ref.current)){if(e.pointerType==="touch"&&!isIOS){on(this.opts.ref.current,"click",()=>{this.handleSelect(),this.root.setHighlightedNode(this.opts.ref.current)},{once:!0});return}e.preventDefault(),this.handleSelect(),e.pointerType==="touch"&&this.root.setHighlightedNode(this.opts.ref.current)}}onpointermove(e){e.pointerType!==
+"touch"&&this.root.highlightedNode!==this.opts.ref.current&&this.root.setHighlightedNode(this.opts.ref.current)}#props=user_derived(()=>({id:this.opts.id.current,role:"option","aria-selected":this.root.includesItem(this.opts.value.current)?"true":void 0,"data-value":this.opts.value.current,"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":this.root.highlightedValue===this.opts.value.current&&!this.opts.disabled.current?"":void 0,"data-selected":this.root.includesItem(
+this.opts.value.current)?"":void 0,"data-label":this.opts.label.current,[this.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SelectHiddenInputState{static create(opts){return new SelectHiddenInputState(opts,SelectRootContext.get())}opts;root;#shouldRender=user_derived(()=>this.root.opts.name.current!=="");get shouldRender(){
+return get$4(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(e){e.preventDefault(),this.root.isCombobox?this.root.inputNode?.focus():this.root.triggerNode?.focus()}#props=user_derived(()=>({disabled:boolToTrueOrUndef(this.root.opts.disabled.current),required:boolToTrueOrUndef(this.root.opts.required.current),name:this.root.opts.name.current,value:this.opts.value.current,
+onfocus:this.onfocus}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SelectViewportState{static create(opts){return new SelectViewportState(opts,SelectContentContext.get())}opts;content;root;attachment;#prevScrollTop=state$1(0);get prevScrollTop(){return get$4(this.#prevScrollTop)}set prevScrollTop(value){set$1(this.#prevScrollTop,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment=attachRef(opts.
+ref,v=>{this.root.viewportNode=v})}#props=user_derived(()=>({id:this.opts.id.current,role:"presentation",[this.root.getBitsAttr("viewport")]:"",style:{position:"relative",flex:1,overflow:"auto"},...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollButtonImplState{opts;content;root;attachment;autoScrollTimer=null;userScrollTimer=-1;isUserScrolling=!1;onAutoScroll=noop$1;#mounted=state$1(!1);get mounted(){return get$4(this.#mounted)}set mounted(value){
+set$1(this.#mounted,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment=attachRef(opts.ref),watch$1([()=>this.mounted],()=>{if(!this.mounted){this.isUserScrolling=!1;return}this.isUserScrolling}),user_effect(()=>{this.mounted||this.clearAutoScrollInterval()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this)}handleUserScroll(){this.content.
+domContext.clearTimeout(this.userScrollTimer),this.isUserScrolling=!0,this.userScrollTimer=this.content.domContext.setTimeout(()=>{this.isUserScrolling=!1},200)}clearAutoScrollInterval(){this.autoScrollTimer!==null&&(this.content.domContext.clearTimeout(this.autoScrollTimer),this.autoScrollTimer=null)}onpointerdown(_){if(this.autoScrollTimer!==null)return;const autoScroll=tick2=>{this.onAutoScroll(),this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(tick2+1),this.opts.delay.current(
+tick2))};this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(1),this.opts.delay.current(0))}onpointermove(e){this.onpointerdown(e)}onpointerleave(_){this.clearAutoScrollInterval()}#props=user_derived(()=>({id:this.opts.id.current,"aria-hidden":boolToStrTrueOrUndef(!0),style:{flexShrink:0},onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,
+value)}}class SelectScrollDownButtonState{static create(opts){return new SelectScrollDownButtonState(new SelectScrollButtonImplState(opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollDown=state$1(!1);get canScrollDown(){return get$4(this.#canScrollDown)}set canScrollDown(value){set$1(this.#canScrollDown,value,!0)}scrollIntoViewTimer=null;constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState.
+root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())}),watch$1([()=>this.root.opts.inputValue.current,()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{!this.root.viewportNode||!this.content.isPositioned||this.handleScroll(!0)}),watch$1(()=>this.scrollButtonState.
+mounted,()=>{this.scrollButtonState.mounted&&(this.scrollIntoViewTimer&&clearTimeout(this.scrollIntoViewTimer),this.scrollIntoViewTimer=afterSleep(5,()=>{this.root.highlightedNode?.scrollIntoView({block:this.root.opts.scrollAlignment.current})}))})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const maxScroll=this.root.viewportNode.scrollHeight-this.root.viewportNode.clientHeight,paddingTop=Number.parseInt(getComputedStyle(this.root.
+viewportNode).paddingTop,10);this.canScrollDown=Math.ceil(this.root.viewportNode.scrollTop)<maxScroll-paddingTop};handleAutoScroll=()=>{const viewport=this.root.viewportNode,selectedItem=this.root.highlightedNode;!viewport||!selectedItem||(viewport.scrollTop=viewport.scrollTop+selectedItem.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-down-button")]:""}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollUpButtonState{static create(opts){
+return new SelectScrollUpButtonState(new SelectScrollButtonImplState(opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollUp=state$1(!1);get canScrollUp(){return get$4(this.#canScrollUp)}set canScrollUp(value){set$1(this.#canScrollUp,value,!0)}constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState.root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,
+()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const paddingTop=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollUp=this.root.viewportNode.scrollTop-paddingTop>.1};handleAutoScroll=()=>{!this.root.viewportNode||!this.
+root.highlightedNode||(this.root.viewportNode.scrollTop=this.root.viewportNode.scrollTop-this.root.highlightedNode.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-up-button")]:""}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}function Select_hidden_input($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15);const hiddenInputState=SelectHiddenInputState.create({value:boxWith$1(()=>value())});
+var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>hiddenInputState.props,{get autocomplete(){return $$props.autocomplete},get value(){return value()},set value($$value){value($$value)}}))};if_block(node2,$$render=>{hiddenInputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}function Floating_layer_anchor($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingAnchorState.
+create({id:boxWith$1(()=>$$props.id),virtualEl:boxWith$1(()=>$$props.virtualEl),ref:$$props.ref},tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_4$F=from_svg('<svg viewBox="0 0 30 10" preserveAspectRatio="none" data-arrow=""><polygon points="0,0 30,0 15,10" fill="currentColor"></polygon></svg>'),root_2$1l=from_html("<span><!></span>");function Arrow($$anchor,$$props){push$1($$props,!0);let id2=prop(
+$$props,"id",19,useId),width=prop($$props,"width",3,10),height=prop($$props,"height",3,5),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","width","height"]);const mergedProps=user_derived(()=>mergeProps(restProps,{id:id2()}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},
+alternate_1=$$anchor2=>{var span=root_2$1l();attribute_effect(span,()=>({...get$4(mergedProps)}));var node_2=child(span);{var consequent_1=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var svg2=root_4$F();template_effect(()=>{set_attribute(svg2,"width",width()),set_attribute(svg2,"height",height())}),append($$anchor3,svg2)};if_block(node_2,$$render=>{$$props.children?$$render(
+consequent_1):$$render(alternate,!1)})}reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate_1,!1)})}append($$anchor,fragment),pop()}function Floating_layer_arrow($$anchor,$$props){push$1($$props,!0);let id2=prop($$props,"id",19,useId),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref"]);const arrowState=FloatingArrowState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(
+v))}),mergedProps=user_derived(()=>mergeProps(restProps,arrowState.props));Arrow($$anchor,spread_props(()=>get$4(mergedProps))),pop()}function Floating_layer_content($$anchor,$$props){push$1($$props,!0);let side=prop($$props,"side",3,"bottom"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),alignOffset=prop($$props,"alignOffset",3,0),arrowPadding=prop($$props,"arrowPadding",3,0),avoidCollisions=prop($$props,"avoidCollisions",3,!0),collisionBoundary=prop($$props,"\
+collisionBoundary",19,()=>[]),collisionPadding=prop($$props,"collisionPadding",3,0),hideWhenDetached=prop($$props,"hideWhenDetached",3,!1),onPlaced=prop($$props,"onPlaced",3,()=>{}),sticky=prop($$props,"sticky",3,"partial"),updatePositionStrategy=prop($$props,"updatePositionStrategy",3,"optimized"),strategy=prop($$props,"strategy",3,"fixed"),dir=prop($$props,"dir",3,"ltr"),style2=prop($$props,"style",19,()=>({})),wrapperId=prop($$props,"wrapperId",19,useId),customAnchor=prop($$props,"customAncho\
+r",3,null),tooltip=prop($$props,"tooltip",3,!1);const contentState=FloatingContentState.create({side:boxWith$1(()=>side()),sideOffset:boxWith$1(()=>sideOffset()),align:boxWith$1(()=>align()),alignOffset:boxWith$1(()=>alignOffset()),id:boxWith$1(()=>$$props.id),arrowPadding:boxWith$1(()=>arrowPadding()),avoidCollisions:boxWith$1(()=>avoidCollisions()),collisionBoundary:boxWith$1(()=>collisionBoundary()),collisionPadding:boxWith$1(()=>collisionPadding()),hideWhenDetached:boxWith$1(()=>hideWhenDetached()),
+onPlaced:boxWith$1(()=>onPlaced()),sticky:boxWith$1(()=>sticky()),updatePositionStrategy:boxWith$1(()=>updatePositionStrategy()),strategy:boxWith$1(()=>strategy()),dir:boxWith$1(()=>dir()),style:boxWith$1(()=>style2()),enabled:boxWith$1(()=>$$props.enabled),wrapperId:boxWith$1(()=>wrapperId()),customAnchor:boxWith$1(()=>customAnchor())},tooltip()),mergedProps=user_derived(()=>mergeProps(contentState.wrapperProps,{style:{pointerEvents:"auto"}}));var fragment=comment$2(),node2=first_child(fragment);
+snippet(node2,()=>$$props.content??noop$3,()=>({props:contentState.props,wrapperProps:get$4(mergedProps)})),append($$anchor,fragment),pop()}function Floating_layer_content_static($$anchor,$$props){push$1($$props,!0),onMount$1(()=>{$$props.onPlaced?.()});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:{},wrapperProps:{}})),append($$anchor,fragment),pop()}function Popper_content($$anchor,$$props){let isStatic=prop($$props,"isStatic",3,!1),
+restProps=rest_props($$props,["$$slots","$$events","$$legacy","content","isStatic","onPlaced"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Floating_layer_content_static($$anchor2,{get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}})},alternate=$$anchor2=>{Floating_layer_content($$anchor2,spread_props({get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}},()=>restProps))};if_block(node2,$$render=>{isStatic()?
+$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment)}var root_1$15=from_html("<!> <!>",1);function Popper_layer_inner($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),tooltip=prop($$props,"tooltip",3,!1),contentPointerEvents=prop($$props,
+"contentPointerEvents",3,"auto"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus",
+"onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled","ref","tooltip","contentPointerEvents"]);Popper_content($$anchor,{get isStatic(){return isStatic()},get id(){return $$props.id},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){
+return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get enabled(){return $$props.
+enabled},get tooltip(){return tooltip()},content:($$anchor2,$$arg0)=>{let floatingProps=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;var fragment_1=root_1$15(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){return $$props.preventScroll}})},alternate=$$anchor3=>{var fragment_3=comment$2(),node_1=first_child(fragment_3);{var consequent_1=$$anchor4=>{Scroll_lock($$anchor4,{get preventScroll(){return $$props.preventScroll}})};if_block(
+node_1,$$render=>{$$props.forceMount||$$render(consequent_1)},!0)}append($$anchor3,fragment_3)};if_block(node2,$$render=>{$$props.forceMount&&$$props.enabled?$$render(consequent):$$render(alternate,!1)})}var node_2=sibling(node2,2);Focus_scope(node_2,{get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get loop(){return $$props.loop},get enabled(){return $$props.enabled},get trapFocus(){return trapFocus()},get forceMount(){return $$props.
+forceMount},get ref(){return $$props.ref},focusScope:($$anchor3,$$arg02)=>{let focusScopeProps=()=>$$arg02?.().props;Escape_layer($$anchor3,{get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,{get id(){return $$props.id},get onInteractOutside(){return $$props.onInteractOutside},get onFocusOutside(){
+return $$props.onFocusOutside},get interactOutsideBehavior(){return interactOutsideBehavior()},get isValidEvent(){return isValidEvent2()},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor5,$$arg03)=>{let dismissibleProps=()=>$$arg03?.().props;Text_selection_layer($$anchor5,{get id(){return $$props.id},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.
+onPointerUp},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor6,$$slotProps2)=>{var fragment_8=comment$2(),node_3=first_child(fragment_8);{let $0=user_derived(()=>({props:mergeProps(restProps,floatingProps(),dismissibleProps(),focusScopeProps(),{style:{pointerEvents:contentPointerEvents()}}),wrapperProps:wrapperProps()}));snippet(node_3,()=>$$props.popper??noop$3,()=>get$4($0))}append($$anchor6,fragment_8)},$$slots:{default:!0}})},$$slots:{default:!0}})},$$slots:{
+default:!0}})},$$slots:{focusScope:!0}}),append($$anchor2,fragment_1)},$$slots:{content:!0}}),pop()}function Popper_layer($$anchor,$$props){let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","open","onEscapeKeydown","esca\
+peKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","ref","shouldRender"]);var fragment=comment$2(),
+node2=first_child(fragment);{var consequent=$$anchor2=>{Popper_layer_inner($$anchor2,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.onPointerUp},get side(){return $$props.side},get sideOffset(){
+return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return $$props.
+strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get isStatic(){return isStatic()},get enabled(){return $$props.open},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){
+return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside},forceMount:!1,get ref(){return $$props.ref}},()=>restProps))};if_block(node2,$$render=>{$$props.shouldRender&&$$render(consequent)})}append($$anchor,fragment)}function Popper_layer_force_mount($$anchor,$$props){let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop(
+$$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositi\
+onStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled"]);Popper_layer_inner($$anchor,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},
+get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.onPointerUp},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){
+return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get isStatic(){return isStatic()},get enabled(){return $$props.enabled},get onInteractOutside(){
+return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside}},()=>restProps,{forceMount:!0}))}var root_4$E=from_html("<div><div><!></div></div>"),root_9$s=from_html("<div><div><!></div></div\
+>");function Select_content$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),side=prop($$props,"side",3,"bottom"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),preventScroll=prop($$props,"preventScroll",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount",
+"side","onInteractOutside","onEscapeKeydown","children","child","preventScroll","style"]);const contentState=SelectContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(
+()=>get$4(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()},get enabled(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!0,get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.
+style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$4($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$E();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$4(finalProps)}));
+var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},alternate_2=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_3=$$anchor3=>{Popper_layer($$anchor3,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){
+return side()},get open(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!1,get shouldRender(){return contentState.shouldRender},popper:($$anchor4,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_2=$$anchor5=>{
+var fragment_7=comment$2(),node_6=first_child(fragment_7);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_6,()=>$$props.child,()=>get$4($0))}append($$anchor5,fragment_7)},alternate_1=$$anchor5=>{var div_2=root_9$s();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$4(finalProps)}));var node_7=child(div_3);snippet(node_7,()=>$$props.children??noop$3),reset(div_3),
+reset(div_2),append($$anchor5,div_2)};if_block(node_5,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,!1)})}append($$anchor4,fragment_6)},$$slots:{popper:!0}}))};if_block(node_4,$$render=>{forceMount()||$$render(consequent_3)},!0)}append($$anchor2,fragment_4)};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}function Mounted($$anchor,$$props){push$1($$props,!0);let mounted=prop($$props,"mounted",15,!1),onMountedChange=prop(
+$$props,"onMountedChange",3,noop$1);onMountEffect(()=>(mounted(!0),onMountedChange()(!0),()=>{mounted(!1),onMountedChange()(!1)})),pop()}var root_2$1k=from_html("<div><!></div>"),root$1K=from_html("<!> <!>",1);function Select_item$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),label=prop($$props,"label",19,()=>$$props.value),disabled=prop($$props,"disabled",3,!1),onHighlight=prop($$props,"onHighlight",3,
+noop$1),onUnhighlight=prop($$props,"onUnhighlight",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","value","label","disabled","children","child","onHighlight","onUnhighlight"]);const itemState=SelectItemState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),value:boxWith$1(()=>$$props.value),disabled:boxWith$1(()=>disabled()),label:boxWith$1(()=>label()),onHighlight:boxWith$1(()=>onHighlight()),onUnhighlight:boxWith$1(()=>onUnhighlight())}),
+mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=root$1K(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$4(mergedProps),...itemState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$4($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1k();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.
+children??noop$3,()=>itemState.snippetProps),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}var node_3=sibling(node2,2);Mounted(node_3,{get mounted(){return itemState.mounted},set mounted($$value){itemState.mounted=$$value}}),append($$anchor,fragment),pop()}var root_2$1j=from_html("<div><!></div>");function Select_viewport($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),
+ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child"]);const viewportState=SelectViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(
+mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1j();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_3$$=from_html("<div><!></div>"),root_1$14=from_html("<!> <!>",1);function Select_scroll_down_button$1($$anchor,$$props){const uid=props_id();
+push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollDownButtonState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(
+fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$14(),node_1=first_child(fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$$();
+attribute_effect(div,()=>({...get$4(mergedProps)}));var node_4=child(div);snippet(node_4,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{scrollButtonState.canScrollDown&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root_3$_=from_html("<div><!></div>"),root_1$13=from_html("<!> <!>",1);function Select_scroll_up_button$1($$anchor,$$props){
+const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollUpButtonState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),
+node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$13(),node_1=first_child(fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$_();
+attribute_effect(div,()=>({...get$4(mergedProps)}));var node_4=child(div);snippet(node_4,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{scrollButtonState.canScrollUp&&$$render(consequent_1)})}append($$anchor,fragment),pop()}function Menu_sub($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,
+"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);MenuSubmenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()?.(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_2$1i=from_html("<div><!></div>");
+function Menu_item($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),disabled=prop($$props,"disabled",3,!1),onSelect=prop($$props,"onSelect",3,noop$1),closeOnSelect=prop($$props,"closeOnSelect",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","onSelect","closeOnSelect"]);const itemState=MenuItemState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(
+()=>disabled()),onSelect:boxWith$1(()=>onSelect()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),closeOnSelect:boxWith$1(()=>closeOnSelect())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1i();attribute_effect(div,
+()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_2$1h=from_html("<div><!></div>");function Menu_separator($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),restProps=rest_props($$props,["$$slots","$$ev\
+ents","$$legacy","ref","id","child","children"]);const separatorState=MenuSeparatorState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,separatorState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1h();
+attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_4$D=from_html("<div><div><!></div></div>"),root_9$r=from_html("<div><div><!></div></div>");function Menu_sub_content($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),
+ref2=prop($$props,"ref",15,null),loop2=prop($$props,"loop",3,!0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"defer-otherwise-close"),escapeKeydownBehavior=prop($$props,"escapeKeydownBehavior",3,"defer-otherwise-close"),onOpenAutoFocusProp=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocusProp=prop($$props,"on\
+CloseAutoFocus",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",3,noop$1),side=prop($$props,"side",3,"right"),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","loop","onInteractOutside","forceMount","onEscapeKeydown","interactOutsideBehavior","escapeKeydownBehavior","onOpenAutoFocus","onCloseAutoFocus","onFocusOutside","side","trapFocus","style"]);const subContentState=MenuContentState.create({id:boxWith$1(
+()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),isSub:!0,onCloseAutoFocus:boxWith$1(()=>handleCloseAutoFocus)});function onkeydown(e){const isKeyDownInside=e.currentTarget.contains(e.target),isCloseKey=SUB_CLOSE_KEYS[subContentState.parentMenu.root.opts.dir.current].includes(e.key);isKeyDownInside&&isCloseKey&&(subContentState.parentMenu.onClose(),subContentState.parentMenu.triggerNode?.focus(),e.preventDefault())}const dataAttr=user_derived(()=>subContentState.parentMenu.
+root.getBitsAttr("sub-content")),mergedProps=user_derived(()=>mergeProps(restProps,subContentState.props,{side:side(),onkeydown,[get$4(dataAttr)]:""}));function handleOpenAutoFocus(e){onOpenAutoFocusProp()(e),!e.defaultPrevented&&(e.preventDefault(),subContentState.parentMenu.root.isUsingKeyboard&&subContentState.parentMenu.contentNode&&MenuOpenEvent.dispatch(subContentState.parentMenu.contentNode))}function handleCloseAutoFocus(e){onCloseAutoFocusProp()(e),!e.defaultPrevented&&e.preventDefault()}
+function handleInteractOutside(e){onInteractOutside()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleEscapeKeydown(e){onEscapeKeydown()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleOnFocusOutside(e){onFocusOutside()(e),!e.defaultPrevented&&isHTMLElement$1(e.target)&&e.target.id!==subContentState.parentMenu.triggerNode?.id&&subContentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{
+Popper_layer_force_mount($$anchor2,spread_props(()=>get$4(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onOpenAutoFocus:handleOpenAutoFocus,get enabled(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){
+return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$4(mergedProps),{style:getFloatingContentCSSVars("menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$4(finalProps),
+wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$4($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$D();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$4(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,
+!1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},alternate_2=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_3=$$anchor3=>{Popper_layer($$anchor3,spread_props(()=>get$4(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onCloseAutoFocus:handleCloseAutoFocus,onOpenAutoFocus:handleOpenAutoFocus,get open(){return subContentState.
+parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor4,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$4(mergedProps),{style:getFloatingContentCSSVars("menu")},{style:$$props.
+style}));var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_2=$$anchor5=>{var fragment_7=comment$2(),node_6=first_child(fragment_7);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_6,()=>$$props.child,()=>get$4($0))}append($$anchor5,fragment_7)},alternate_1=$$anchor5=>{var div_2=root_9$r();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$4(
+finalProps)}));var node_7=child(div_3);snippet(node_7,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor5,div_2)};if_block(node_5,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,!1)})}append($$anchor4,fragment_6)},$$slots:{popper:!0}}))};if_block(node_4,$$render=>{forceMount()||$$render(consequent_3)},!0)}append($$anchor2,fragment_4)};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}
+var root_3$Z=from_html("<div><!></div>");function Menu_sub_trigger($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),disabled=prop($$props,"disabled",3,!1),ref2=prop($$props,"ref",15,null),onSelect=prop($$props,"onSelect",3,noop$1),openDelay=prop($$props,"openDelay",3,100),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","disabled","ref","children","child","onSelect","openDelay"]);const subTriggerState=MenuSubTriggerState.
+create({disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),openDelay:boxWith$1(()=>openDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,subTriggerState.props));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return subTriggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(
+fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$Z();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function isPointInPolygon(point2,polygon){const[x,y]=point2;
+let isInside=!1;const length=polygon.length;for(let i=0,j=length-1;i<length;j=i++){const[xi,yi]=polygon[i]??[0,0],[xj,yj]=polygon[j]??[0,0];yi>=y!=yj>=y&&x<=(xj-xi)*(y-yi)/(yj-yi)+xi&&(isInside=!isInside)}return isInside}function isInsideRect(point2,rect){return point2[0]>=rect.left&&point2[0]<=rect.right&&point2[1]>=rect.top&&point2[1]<=rect.bottom}function getSide(triggerRect,contentRect){const triggerCenterX=triggerRect.left+triggerRect.width/2,triggerCenterY=triggerRect.top+triggerRect.height/
+2,contentCenterX=contentRect.left+contentRect.width/2,contentCenterY=contentRect.top+contentRect.height/2,deltaX=contentCenterX-triggerCenterX,deltaY=contentCenterY-triggerCenterY;return Math.abs(deltaX)>Math.abs(deltaY)?deltaX>0?"right":"left":deltaY>0?"bottom":"top"}class SafePolygon{#opts;#buffer;#exitPoint=null;#exitTarget=null;constructor(opts){this.#opts=opts,this.#buffer=opts.buffer??1,watch$1([opts.triggerNode,opts.contentNode,opts.enabled],([triggerNode,contentNode,enabled])=>{if(!triggerNode||
+!contentNode||!enabled){this.#exitPoint=null,this.#exitTarget=null;return}const doc=getDocument$1(triggerNode),handlePointerMove=e=>{this.#onPointerMove(e,triggerNode,contentNode)},handleTriggerLeave=e=>{const target2=e.relatedTarget;isElement$1(target2)&&contentNode.contains(target2)||(this.#exitPoint=[e.clientX,e.clientY],this.#exitTarget="content")},handleTriggerEnter=()=>{this.#exitPoint=null,this.#exitTarget=null},handleContentEnter=()=>{this.#exitPoint=null,this.#exitTarget=null},handleContentLeave=e=>{
+const target2=e.relatedTarget;isElement$1(target2)&&triggerNode.contains(target2)||(this.#exitPoint=[e.clientX,e.clientY],this.#exitTarget="trigger")};return[on(doc,"pointermove",handlePointerMove),on(triggerNode,"pointerleave",handleTriggerLeave),on(triggerNode,"pointerenter",handleTriggerEnter),on(contentNode,"pointerenter",handleContentEnter),on(contentNode,"pointerleave",handleContentLeave)].reduce((acc,cleanup)=>()=>{acc(),cleanup()},()=>{})})}#onPointerMove(e,triggerNode,contentNode){if(!this.#exitPoint||
+!this.#exitTarget)return;const clientPoint=[e.clientX,e.clientY],triggerRect=triggerNode.getBoundingClientRect(),contentRect=contentNode.getBoundingClientRect();if(this.#exitTarget==="content"&&isInsideRect(clientPoint,contentRect)){this.#exitPoint=null,this.#exitTarget=null;return}if(this.#exitTarget==="trigger"&&isInsideRect(clientPoint,triggerRect)){this.#exitPoint=null,this.#exitTarget=null;return}const side=getSide(triggerRect,contentRect),corridorPoly=this.#getCorridorPolygon(triggerRect,contentRect,
+side);if(corridorPoly&&isPointInPolygon(clientPoint,corridorPoly))return;const targetRect=this.#exitTarget==="content"?contentRect:triggerRect,safePoly=this.#getSafePolygon(this.#exitPoint,targetRect,side,this.#exitTarget);isPointInPolygon(clientPoint,safePoly)||(this.#exitPoint=null,this.#exitTarget=null,this.#opts.onPointerExit())}#getCorridorPolygon(triggerRect,contentRect,side){const buffer=this.#buffer;switch(side){case"top":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.
+top],[Math.min(triggerRect.left,contentRect.left)-buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,triggerRect.top]];case"bottom":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.bottom],[Math.min(triggerRect.left,contentRect.left)-buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+
+buffer,triggerRect.bottom]];case"left":return[[triggerRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer],[triggerRect.left,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]];case"right":return[[triggerRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.
+left,Math.max(triggerRect.bottom,contentRect.bottom)+buffer],[triggerRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]]}}#getSafePolygon(exitPoint,targetRect,side,exitTarget){const buffer=this.#buffer*4,[x,y]=exitPoint;switch(exitTarget==="trigger"?this.#flipSide(side):side){case"top":return[[x-buffer,y+buffer],[x+buffer,y+buffer],[targetRect.right+buffer,targetRect.bottom],[targetRect.right+buffer,targetRect.top],[targetRect.left-buffer,targetRect.top],[targetRect.left-buffer,targetRect.
+bottom]];case"bottom":return[[x-buffer,y-buffer],[x+buffer,y-buffer],[targetRect.right+buffer,targetRect.top],[targetRect.right+buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.top]];case"left":return[[x+buffer,y-buffer],[x+buffer,y+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.left,targetRect.bottom+buffer],[targetRect.left,targetRect.top-buffer],[targetRect.right,targetRect.top-buffer]];case"right":return[[x-buffer,y-buffer],
+[x-buffer,y+buffer],[targetRect.left,targetRect.bottom+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.right,targetRect.top-buffer],[targetRect.left,targetRect.top-buffer]]}}#flipSide(side){switch(side){case"top":return"bottom";case"bottom":return"top";case"left":return"right";case"right":return"left"}}}const popoverAttrs=createBitsAttrs({component:"popover",parts:["root","trigger","content","close","overlay"]}),PopoverRootContext=new Context$1("Popover.Root");class PopoverRootState{static create(opts){
+return PopoverRootContext.set(new PopoverRootState(opts))}opts;#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){return get$4(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#overlayNode=state$1(null);get overlayNode(){return get$4(this.#overlayNode)}set overlayNode(value){set$1(this.#overlayNode,value,!0)}overlayPresence;#openedViaHover=state$1(
+!1);get openedViaHover(){return get$4(this.#openedViaHover)}set openedViaHover(value){set$1(this.#openedViaHover,value,!0)}#hasInteractedWithContent=state$1(!1);get hasInteractedWithContent(){return get$4(this.#hasInteractedWithContent)}set hasInteractedWithContent(value){set$1(this.#hasInteractedWithContent,value,!0)}#hoverCooldown=state$1(!1);get hoverCooldown(){return get$4(this.#hoverCooldown)}set hoverCooldown(value){set$1(this.#hoverCooldown,value,!0)}#closeDelay=state$1(0);get closeDelay(){
+return get$4(this.#closeDelay)}set closeDelay(value){set$1(this.#closeDelay,value,!0)}#closeTimeout=null;#domContext=null;constructor(opts){this.opts=opts,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),this.overlayPresence=new PresenceManager({ref:boxWith$1(()=>this.overlayNode),open:this.opts.open}),watch$1(()=>this.opts.open.current,isOpen=>{isOpen||(this.openedViaHover=
+!1,this.hasInteractedWithContent=!1,this.#clearCloseTimeout())})}setDomContext(ctx){this.#domContext=ctx}#clearCloseTimeout(){this.#closeTimeout!==null&&this.#domContext&&(this.#domContext.clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}toggleOpen(){this.#clearCloseTimeout(),this.opts.open.current=!this.opts.open.current}handleClose(){this.#clearCloseTimeout(),this.opts.open.current&&(this.opts.open.current=!1)}handleHoverOpen(){this.#clearCloseTimeout(),!this.opts.open.current&&(this.
+openedViaHover=!0,this.opts.open.current=!0)}handleHoverClose(){this.opts.open.current&&this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1)}handleDelayedHoverClose(){this.opts.open.current&&(!this.openedViaHover||this.hasInteractedWithContent||(this.#clearCloseTimeout(),this.closeDelay<=0?this.opts.open.current=!1:this.#domContext&&(this.#closeTimeout=this.#domContext.setTimeout(()=>{this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1),this.#closeTimeout=
+null},this.closeDelay))))}cancelDelayedClose(){this.#clearCloseTimeout()}markInteraction(){this.hasInteractedWithContent=!0,this.#clearCloseTimeout()}}class PopoverTriggerState{static create(opts){return new PopoverTriggerState(opts,PopoverRootContext.get())}opts;root;attachment;domContext;#openTimeout=null;#closeTimeout=null;#isHovering=state$1(!1);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.triggerNode=v),this.domContext=new DOMContext(
+opts.ref),this.root.setDomContext(this.domContext),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),watch$1(()=>this.opts.closeDelay.current,delay=>{this.root.closeDelay=delay})}#clearOpenTimeout(){this.#openTimeout!==null&&(this.domContext.clearTimeout(this.#openTimeout),this.#openTimeout=null)}#clearCloseTimeout(){this.#closeTimeout!==null&&(this.domContext.clearTimeout(
+this.#closeTimeout),this.#closeTimeout=null)}#clearAllTimeouts(){this.#clearOpenTimeout(),this.#clearCloseTimeout()}onpointerenter(e){if(this.opts.disabled.current||!this.opts.openOnHover.current||isTouch(e)||(set$1(this.#isHovering,!0),this.#clearCloseTimeout(),this.root.cancelDelayedClose(),this.root.opts.open.current||this.root.hoverCooldown))return;const delay=this.opts.openDelay.current;delay<=0?this.root.handleHoverOpen():this.#openTimeout=this.domContext.setTimeout(()=>{this.root.handleHoverOpen(),
+this.#openTimeout=null},delay)}onpointerleave(e){this.opts.disabled.current||this.opts.openOnHover.current&&(isTouch(e)||(set$1(this.#isHovering,!1),this.#clearOpenTimeout(),this.root.hoverCooldown=!1))}onclick(e){if(!this.opts.disabled.current&&e.button===0){if(this.#clearAllTimeouts(),get$4(this.#isHovering)&&this.root.opts.open.current&&this.root.openedViaHover){this.root.openedViaHover=!1,this.root.hasInteractedWithContent=!0;return}get$4(this.#isHovering)&&this.opts.openOnHover.current&&this.
+root.opts.open.current&&(this.root.hoverCooldown=!0),this.root.hoverCooldown&&!this.root.opts.open.current&&(this.root.hoverCooldown=!1),this.root.toggleOpen()}}onkeydown(e){this.opts.disabled.current||(e.key===ENTER||e.key===SPACE)&&(e.preventDefault(),this.#clearAllTimeouts(),this.root.toggleOpen())}#getAriaControls(){if(this.root.opts.open.current&&this.root.contentNode?.id)return this.root.contentNode?.id}#props=user_derived(()=>({id:this.opts.id.current,"aria-haspopup":"dialog","aria-expand\
+ed":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.opts.open.current),"aria-controls":this.#getAriaControls(),[popoverAttrs.trigger]:"",disabled:this.opts.disabled.current,onkeydown:this.onkeydown,onclick:this.onclick,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class PopoverContentState{static create(opts){return new PopoverContentState(
+opts,PopoverRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),this.onpointerdown=this.onpointerdown.bind(this),this.onfocusin=this.onfocusin.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),new SafePolygon({triggerNode:()=>this.root.triggerNode,contentNode:()=>this.root.contentNode,enabled:()=>this.root.opts.open.current&&
+this.root.openedViaHover&&!this.root.hasInteractedWithContent,onPointerExit:()=>{this.root.handleDelayedHoverClose()}})}onpointerdown(_){this.root.markInteraction()}onfocusin(e){const target2=e.target;isElement$1(target2)&&isTabbable(target2)&&this.root.markInteraction()}onpointerenter(e){isTouch(e)||this.root.cancelDelayedClose()}onpointerleave(e){isTouch(e)}onInteractOutside=e=>{if(this.opts.onInteractOutside.current(e),e.defaultPrevented||!isElement$1(e.target))return;const closestTrigger=e.target.
+closest(popoverAttrs.selector("trigger"));if(!(closestTrigger&&closestTrigger===this.root.triggerNode)){if(this.opts.customAnchor.current){if(isElement$1(this.opts.customAnchor.current)){if(this.opts.customAnchor.current.contains(e.target))return}else if(typeof this.opts.customAnchor.current=="string"){const el=document.querySelector(this.opts.customAnchor.current);if(el&&el.contains(e.target))return}}this.root.handleClose()}};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&
+this.root.handleClose()};get shouldRender(){return this.root.contentPresence.shouldRender}get shouldTrapFocus(){return!(this.root.openedViaHover&&!this.root.hasInteractedWithContent)}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,"data-state":getDataOpenClosed(this.root.opts.open.current),[popoverAttrs.content]:"",
+style:{pointerEvents:"auto",contain:"layout style paint"},onpointerdown:this.onpointerdown,onfocusin:this.onfocusin,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown}}var root_4$C=from_html("<div><div><!></div></div>"),root_9$q=from_html("<div><div><!></div></div>");function Popover_content$1($$anchor,$$props){
+const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),forceMount=prop($$props,"forceMount",3,!1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!1),customAnchor=prop(
+$$props,"customAnchor",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","forceMount","onOpenAutoFocus","onCloseAutoFocus","onEscapeKeydown","onInteractOutside","trapFocus","preventScroll","customAnchor","style"]);const contentState=PopoverContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),customAnchor:boxWith$1(()=>customAnchor())}),
+mergedProps=user_derived(()=>mergeProps(restProps,contentState.props)),effectiveTrapFocus=user_derived(()=>trapFocus()&&contentState.shouldTrapFocus);function handleOpenAutoFocus(e){contentState.shouldTrapFocus||e.preventDefault(),onOpenAutoFocus()(e)}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.
+root.opts.open.current},get id(){return id2()},get trapFocus(){return get$4(effectiveTrapFocus)},get preventScroll(){return preventScroll()},loop:!0,forceMount:!0,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars(
+"popover")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$4($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$C();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,
+()=>({...get$4(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},alternate_2=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_3=$$anchor3=>{Popper_layer($$anchor3,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.
+opts.ref},get open(){return contentState.root.opts.open.current},get id(){return id2()},get trapFocus(){return get$4(effectiveTrapFocus)},get preventScroll(){return preventScroll()},loop:!0,forceMount:!1,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor4,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(
+()=>mergeProps(props(),{style:getFloatingContentCSSVars("popover")},{style:$$props.style}));var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_2=$$anchor5=>{var fragment_7=comment$2(),node_6=first_child(fragment_7);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_6,()=>$$props.child,()=>get$4($0))}append($$anchor5,fragment_7)},alternate_1=$$anchor5=>{var div_2=root_9$q();attribute_effect(div_2,()=>({
+...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$4(finalProps)}));var node_7=child(div_3);snippet(node_7,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor5,div_2)};if_block(node_5,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,!1)})}append($$anchor4,fragment_6)},$$slots:{popper:!0}}))};if_block(node_4,$$render=>{forceMount()||$$render(consequent_3)},!0)}append($$anchor2,fragment_4)};if_block(node2,$$render=>{forceMount()?
+$$render(consequent_1):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}var root_3$Y=from_html("<button><!></button>");function Popover_trigger$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),disabled=prop($$props,"disabled",3,!1),openOnHover=prop($$props,"openOnHover",3,!1),openDelay=prop($$props,"openDelay",3,700),closeDelay=prop($$props,"closeDelay",3,300),
+restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","type","disabled","openOnHover","openDelay","closeDelay"]);const triggerState=PopoverTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled()),openOnHover:boxWith$1(()=>openOnHover()),openDelay:boxWith$1(()=>openDelay()),closeDelay:boxWith$1(()=>closeDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));
+Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$Y();attribute_effect(button,()=>({...get$4(mergedProps)}));var node_2=child(button);snippet(
+node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function Dialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"dialog"),open:boxWith$1(
+()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_2$1g=from_html("<button><!></button>");function Dialog_close($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","children","child","id","ref","disabled"]);const closeState=DialogCloseState.create({variant:boxWith$1(()=>"close"),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,closeState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({
+props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1g();attribute_effect(button,()=>({...get$4(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_6$B=from_html("<!> <!>",1),root_8$q=from_html("<!> <div><!></div>",1);function Dialog_content$1($$anchor,$$props){
+const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop(
+$$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","onCloseAutoFocus","onOpenAutoFocus","onEscapeKeydown","onInteractOutside","trapFocus","preventScroll","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);
+{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.current},get onOpenAutoFocus(){return onOpenAutoFocus()},get onCloseAutoFocus(){return onCloseAutoFocus()},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer($$anchor3,spread_props(()=>get$4(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.
+opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(()=>get$4(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$4(mergedProps),
+{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$B(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(
+consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$4(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.child,()=>get$4($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$q(),node_4=first_child(fragment_8);Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$4(mergedProps),focusScopeProps())]);var node_5=child(
+div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,!1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}function Menu($$anchor,$$props){push$1($$props,!0);let open2=prop(
+$$props,"open",15,!1),dir=prop($$props,"dir",3,"ltr"),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),variant=prop($$props,"_internal_variant",3,"dropdown-menu");const root2=MenuRootState.create({variant:boxWith$1(()=>variant()),dir:boxWith$1(()=>dir()),onClose:()=>{open2(!1),onOpenChange()(!1)}});MenuMenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())},
+root2),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$B=from_html("<div><div><!></div></div>"),root_9$p=from_html("<div><div><!></div></div>");function Dropdown_menu_content$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),loop2=prop(
+$$props,"loop",3,!0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","child","children","ref","loop","onInteractOutside","onEscapeKeydown","onCloseAutoFocus","forceMount","trapFocus","style"]);const contentState=MenuContentState.
+create({id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));function handleInteractOutside(e){if(contentState.handleInteractOutside(e),!e.defaultPrevented&&(onInteractOutside()(e),!e.defaultPrevented)){if(e.target&&e.target instanceof Element){const subContentSelector=`[${contentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.
+closest(subContentSelector))return}contentState.parentMenu.onClose()}}function handleEscapeKeydown(e){onEscapeKeydown()(e),!e.defaultPrevented&&contentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,
+onEscapeKeydown:handleEscapeKeydown,get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!0,get id(){return id2()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{
+var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$4($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$B();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$4(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),
+append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},alternate_2=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_3=$$anchor3=>{Popper_layer($$anchor3,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,
+onEscapeKeydown:handleEscapeKeydown,get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!1,get id(){return id2()},get shouldRender(){return contentState.shouldRender},popper:($$anchor4,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_2=$$anchor5=>{
+var fragment_7=comment$2(),node_6=first_child(fragment_7);{let $0=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_6,()=>$$props.child,()=>get$4($0))}append($$anchor5,fragment_7)},alternate_1=$$anchor5=>{var div_2=root_9$p();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$4(finalProps)}));var node_7=child(div_3);snippet(node_7,()=>$$props.children??noop$3),reset(div_3),
+reset(div_2),append($$anchor5,div_2)};if_block(node_5,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,!1)})}append($$anchor4,fragment_6)},$$slots:{popper:!0}}))};if_block(node_4,$$render=>{forceMount()||$$render(consequent_3)},!0)}append($$anchor2,fragment_4)};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}var root_3$X=from_html("<button><!></button>");function Menu_trigger($$anchor,$$props){const uid=props_id();
+push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","disabled","type"]);const triggerState=DropdownMenuTriggerState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()??!1),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.
+props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$X();attribute_effect(button,()=>({...get$4(mergedProps)}));var node_2=child(
+button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}const labelAttrs=createBitsAttrs({component:"label",parts:["root"]});class LabelRootState{static create(opts){return new LabelRootState(opts)}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(this.opts.ref),this.onmousedown=this.onmousedown.
+bind(this)}onmousedown(e){e.detail>1&&e.preventDefault()}#props=user_derived(()=>({id:this.opts.id.current,[labelAttrs.root]:"",onmousedown:this.onmousedown,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}var root_2$1f=from_html("<label><!></label>");function Label$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots",
+"$$events","$$legacy","children","child","id","ref","for"]);const rootState=LabelRootState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{for:$$props.for}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{
+var label=root_2$1f();attribute_effect(label,()=>({...get$4(mergedProps),for:$$props.for}));var node_2=child(label);snippet(node_2,()=>$$props.children??noop$3),reset(label),append($$anchor2,label)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}class SvelteResizeObserver{#node;#onResize;constructor(node2,onResize){this.#node=node2,this.#onResize=onResize,this.handler=this.handler.bind(this),user_effect(this.handler)}handler(){
+let rAF=0;const _node=this.#node();if(!_node)return;const resizeObserver=new ResizeObserver(()=>{cancelAnimationFrame(rAF),rAF=window.requestAnimationFrame(this.#onResize)});return resizeObserver.observe(_node),()=>{window.cancelAnimationFrame(rAF),resizeObserver.unobserve(_node)}}}class StateMachine{state;#machine;constructor(initialState,machine){this.state=simpleBox(initialState),this.#machine=machine,this.dispatch=this.dispatch.bind(this)}#reducer(event2){return this.#machine[this.state.current][event2]??
+this.state.current}dispatch(event2){this.state.current=this.#reducer(event2)}}const animationNameCache=new WeakMap,ANIMATION_NAME_CACHE_TTL_MS=16,presenceMachine={mounted:{UNMOUNT:"unmounted",ANIMATION_OUT:"unmountSuspended"},unmountSuspended:{MOUNT:"mounted",ANIMATION_END:"unmounted"},unmounted:{MOUNT:"mounted"}};class Presence{opts;#prevAnimationNameState=state$1("none");get prevAnimationNameState(){return get$4(this.#prevAnimationNameState)}set prevAnimationNameState(value){set$1(this.#prevAnimationNameState,
+value,!0)}#styles=state$1(proxy({display:"",animationName:"none"}));get styles(){return get$4(this.#styles)}set styles(value){set$1(this.#styles,value,!0)}initialStatus;previousPresent;machine;present;constructor(opts){this.opts=opts,this.present=this.opts.open,this.initialStatus=opts.open.current?"mounted":"unmounted",this.previousPresent=new Previous(()=>this.present.current),this.machine=new StateMachine(this.initialStatus,presenceMachine),this.handleAnimationEnd=this.handleAnimationEnd.bind(
+this),this.handleAnimationStart=this.handleAnimationStart.bind(this),watchPresenceChange(this),watchStatusChange(this),watchRefChange(this)}handleAnimationEnd(event2){if(!this.opts.ref.current)return;const currAnimationName=this.styles.animationName||getAnimationName(this.opts.ref.current),isCurrentAnimation=currAnimationName.includes(event2.animationName)||currAnimationName==="none";event2.target===this.opts.ref.current&&isCurrentAnimation&&this.machine.dispatch("ANIMATION_END")}handleAnimationStart(event2){
+if(this.opts.ref.current&&event2.target===this.opts.ref.current){const animationName=getAnimationName(this.opts.ref.current,!0);this.prevAnimationNameState=animationName,this.styles.animationName=animationName}}#isPresent=user_derived(()=>["mounted","unmountSuspended"].includes(this.machine.state.current));get isPresent(){return get$4(this.#isPresent)}set isPresent(value){set$1(this.#isPresent,value)}}function watchPresenceChange(state2){watch$1(()=>state2.present.current,()=>{if(!state2.opts.ref.
+current||!(state2.present.current!==state2.previousPresent.current))return;const prevAnimationName=state2.prevAnimationNameState,currAnimationName=getAnimationName(state2.opts.ref.current,!0);if(state2.styles.animationName=currAnimationName,state2.present.current)state2.machine.dispatch("MOUNT");else if(currAnimationName==="none"||state2.styles.display==="none")state2.machine.dispatch("UNMOUNT");else{const isAnimating=prevAnimationName!==currAnimationName;state2.previousPresent.current&&isAnimating?
+state2.machine.dispatch("ANIMATION_OUT"):state2.machine.dispatch("UNMOUNT")}})}function watchStatusChange(state2){watch$1(()=>state2.machine.state.current,()=>{if(!state2.opts.ref.current)return;const currAnimationName=state2.machine.state.current==="mounted"?getAnimationName(state2.opts.ref.current,!0):"none";state2.prevAnimationNameState=currAnimationName,state2.styles.animationName=currAnimationName})}function watchRefChange(state2){watch$1(()=>state2.opts.ref.current,()=>{if(!state2.opts.ref.
+current)return;const computed=getComputedStyle(state2.opts.ref.current);return state2.styles={display:computed.display,animationName:computed.animationName||"none"},executeCallbacks(on(state2.opts.ref.current,"animationstart",state2.handleAnimationStart),on(state2.opts.ref.current,"animationcancel",state2.handleAnimationEnd),on(state2.opts.ref.current,"animationend",state2.handleAnimationEnd))})}function getAnimationName(node2,forceRefresh=!1){if(!node2)return"none";const now2=performance.now(),
+cached2=animationNameCache.get(node2);if(!forceRefresh&&cached2&&now2-cached2.timestamp<ANIMATION_NAME_CACHE_TTL_MS)return cached2.value;const value=getComputedStyle(node2).animationName||"none";return animationNameCache.set(node2,{value,timestamp:now2}),value}function Presence_layer($$anchor,$$props){push$1($$props,!0);const presenceState=new Presence({open:boxWith$1(()=>$$props.open),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),
+node_1=first_child(fragment_1);snippet(node_1,()=>$$props.presence??noop$3,()=>({present:presenceState.isPresent})),append($$anchor2,fragment_1)};if_block(node2,$$render=>{($$props.forceMount||$$props.open||presenceState.isPresent)&&$$render(consequent)})}append($$anchor,fragment),pop()}function Popover$1($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);PopoverRootState.
+create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function clamp(n,min2,max2){return Math.min(max2,Math.max(min2,n))}const scrollAreaAttrs=createBitsAttrs({component:"scroll-area",parts:["root","viewpo\
+rt","corner","thumb","scrollbar"]}),ScrollAreaRootContext=new Context$1("ScrollArea.Root"),ScrollAreaScrollbarContext=new Context$1("ScrollArea.Scrollbar"),ScrollAreaScrollbarVisibleContext=new Context$1("ScrollArea.ScrollbarVisible"),ScrollAreaScrollbarAxisContext=new Context$1("ScrollArea.ScrollbarAxis"),ScrollAreaScrollbarSharedContext=new Context$1("ScrollArea.ScrollbarShared");class ScrollAreaRootState{static create(opts){return ScrollAreaRootContext.set(new ScrollAreaRootState(opts))}opts;attachment;#scrollAreaNode=state$1(
+null);get scrollAreaNode(){return get$4(this.#scrollAreaNode)}set scrollAreaNode(value){set$1(this.#scrollAreaNode,value,!0)}#viewportNode=state$1(null);get viewportNode(){return get$4(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}#scrollbarXNode=state$1(null);get scrollbarXNode(){return get$4(this.#scrollbarXNode)}set scrollbarXNode(value){
+set$1(this.#scrollbarXNode,value,!0)}#scrollbarYNode=state$1(null);get scrollbarYNode(){return get$4(this.#scrollbarYNode)}set scrollbarYNode(value){set$1(this.#scrollbarYNode,value,!0)}#cornerWidth=state$1(0);get cornerWidth(){return get$4(this.#cornerWidth)}set cornerWidth(value){set$1(this.#cornerWidth,value,!0)}#cornerHeight=state$1(0);get cornerHeight(){return get$4(this.#cornerHeight)}set cornerHeight(value){set$1(this.#cornerHeight,value,!0)}#scrollbarXEnabled=state$1(!1);get scrollbarXEnabled(){
+return get$4(this.#scrollbarXEnabled)}set scrollbarXEnabled(value){set$1(this.#scrollbarXEnabled,value,!0)}#scrollbarYEnabled=state$1(!1);get scrollbarYEnabled(){return get$4(this.#scrollbarYEnabled)}set scrollbarYEnabled(value){set$1(this.#scrollbarYEnabled,value,!0)}domContext;constructor(opts){this.opts=opts,this.attachment=attachRef(opts.ref,v=>this.scrollAreaNode=v),this.domContext=new DOMContext(opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,dir:this.opts.dir.current,style:{position:"\
+relative","--bits-scroll-area-corner-height":`${this.cornerHeight}px`,"--bits-scroll-area-corner-width":`${this.cornerWidth}px`},[scrollAreaAttrs.root]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaViewportState{static create(opts){return new ScrollAreaViewportState(opts,ScrollAreaRootContext.get())}opts;root;attachment;#contentId=simpleBox(useId());#contentRef=simpleBox(null);contentAttachment=attachRef(this.#contentRef,
+v=>this.root.contentNode=v);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.viewportNode=v)}#props=user_derived(()=>({id:this.opts.id.current,style:{overflowX:this.root.scrollbarXEnabled?"scroll":"hidden",overflowY:this.root.scrollbarYEnabled?"scroll":"hidden"},[scrollAreaAttrs.viewport]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}#contentProps=user_derived(()=>({id:this.#contentId.
+current,"data-scroll-area-content":"",style:{minWidth:this.root.scrollbarXEnabled?"fit-content":void 0},...this.contentAttachment}));get contentProps(){return get$4(this.#contentProps)}set contentProps(value){set$1(this.#contentProps,value)}}class ScrollAreaScrollbarState{static create(opts){return ScrollAreaScrollbarContext.set(new ScrollAreaScrollbarState(opts,ScrollAreaRootContext.get()))}opts;root;#isHorizontal=user_derived(()=>this.opts.orientation.current==="horizontal");get isHorizontal(){
+return get$4(this.#isHorizontal)}set isHorizontal(value){set$1(this.#isHorizontal,value)}#hasThumb=state$1(!1);get hasThumb(){return get$4(this.#hasThumb)}set hasThumb(value){set$1(this.#hasThumb,value,!0)}constructor(opts,root2){this.opts=opts,this.root=root2,watch$1(()=>this.isHorizontal,isHorizontal=>isHorizontal?(this.root.scrollbarXEnabled=!0,()=>{this.root.scrollbarXEnabled=!1}):(this.root.scrollbarYEnabled=!0,()=>{this.root.scrollbarYEnabled=!1}))}}class ScrollAreaScrollbarHoverState{static create(){
+return new ScrollAreaScrollbarHoverState(ScrollAreaScrollbarContext.get())}scrollbar;root;#isVisible=state$1(!1);get isVisible(){return get$4(this.#isVisible)}set isVisible(value){set$1(this.#isVisible,value,!0)}constructor(scrollbar){this.scrollbar=scrollbar,this.root=scrollbar.root,user_effect(()=>{const scrollAreaNode=this.root.scrollAreaNode,hideDelay=this.root.opts.scrollHideDelay.current;let hideTimer=0;if(!scrollAreaNode)return;const handlePointerEnter=()=>{this.root.domContext.clearTimeout(
+hideTimer),untrack$1(()=>this.isVisible=!0)},handlePointerLeave=()=>{hideTimer&&this.root.domContext.clearTimeout(hideTimer),hideTimer=this.root.domContext.setTimeout(()=>{untrack$1(()=>{this.scrollbar.hasThumb=!1,this.isVisible=!1})},hideDelay)},unsubListeners=executeCallbacks(on(scrollAreaNode,"pointerenter",handlePointerEnter),on(scrollAreaNode,"pointerleave",handlePointerLeave));return()=>{this.root.domContext.getWindow().clearTimeout(hideTimer),unsubListeners()}})}#props=user_derived(()=>({
+"data-state":this.isVisible?"visible":"hidden"}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarScrollState{static create(){return new ScrollAreaScrollbarScrollState(ScrollAreaScrollbarContext.get())}scrollbar;root;machine=new StateMachine("hidden",{hidden:{SCROLL:"scrolling"},scrolling:{SCROLL_END:"idle",POINTER_ENTER:"interacting"},interacting:{SCROLL:"interacting",POINTER_LEAVE:"idle"},idle:{HIDE:"hidden",SCROLL:"scrolling",POINTER_ENTER:"\
+interacting"}});#isHidden=user_derived(()=>this.machine.state.current==="hidden");get isHidden(){return get$4(this.#isHidden)}set isHidden(value){set$1(this.#isHidden,value)}constructor(scrollbar){this.scrollbar=scrollbar,this.root=scrollbar.root;const debounceScrollend=useDebounce(()=>this.machine.dispatch("SCROLL_END"),100);user_effect(()=>{const _state=this.machine.state.current,scrollHideDelay=this.root.opts.scrollHideDelay.current;if(_state==="idle"){const hideTimer=this.root.domContext.setTimeout(
+()=>this.machine.dispatch("HIDE"),scrollHideDelay);return()=>this.root.domContext.clearTimeout(hideTimer)}}),user_effect(()=>{const viewportNode=this.root.viewportNode;if(!viewportNode)return;const scrollDirection=this.scrollbar.isHorizontal?"scrollLeft":"scrollTop";let prevScrollPos=viewportNode[scrollDirection];return on(viewportNode,"scroll",()=>{const scrollPos=viewportNode[scrollDirection];prevScrollPos!==scrollPos&&(this.machine.dispatch("SCROLL"),debounceScrollend()),prevScrollPos=scrollPos})}),
+this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this)}onpointerenter(_){this.machine.dispatch("POINTER_ENTER")}onpointerleave(_){this.machine.dispatch("POINTER_LEAVE")}#props=user_derived(()=>({"data-state":this.machine.state.current==="hidden"?"hidden":"visible",onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarAutoState{static create(){
+return new ScrollAreaScrollbarAutoState(ScrollAreaScrollbarContext.get())}scrollbar;root;#isVisible=state$1(!1);get isVisible(){return get$4(this.#isVisible)}set isVisible(value){set$1(this.#isVisible,value,!0)}constructor(scrollbar){this.scrollbar=scrollbar,this.root=scrollbar.root;const handleResize=useDebounce(()=>{const viewportNode=this.root.viewportNode;if(!viewportNode)return;const isOverflowX=viewportNode.offsetWidth<viewportNode.scrollWidth,isOverflowY=viewportNode.offsetHeight<viewportNode.
+scrollHeight;this.isVisible=this.scrollbar.isHorizontal?isOverflowX:isOverflowY},10);new SvelteResizeObserver(()=>this.root.viewportNode,handleResize),new SvelteResizeObserver(()=>this.root.contentNode,handleResize)}#props=user_derived(()=>({"data-state":this.isVisible?"visible":"hidden"}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarVisibleState{static create(){return ScrollAreaScrollbarVisibleContext.set(new ScrollAreaScrollbarVisibleState(
+ScrollAreaScrollbarContext.get()))}scrollbar;root;#thumbNode=state$1(null);get thumbNode(){return get$4(this.#thumbNode)}set thumbNode(value){set$1(this.#thumbNode,value,!0)}#pointerOffset=state$1(0);get pointerOffset(){return get$4(this.#pointerOffset)}set pointerOffset(value){set$1(this.#pointerOffset,value,!0)}#sizes=state$1({content:0,viewport:0,scrollbar:{size:0,paddingStart:0,paddingEnd:0}});get sizes(){return get$4(this.#sizes)}set sizes(value){set$1(this.#sizes,value)}#thumbRatio=user_derived(
+()=>getThumbRatio(this.sizes.viewport,this.sizes.content));get thumbRatio(){return get$4(this.#thumbRatio)}set thumbRatio(value){set$1(this.#thumbRatio,value)}#hasThumb=user_derived(()=>this.thumbRatio>0&&this.thumbRatio<1);get hasThumb(){return get$4(this.#hasThumb)}set hasThumb(value){set$1(this.#hasThumb,value)}#prevTransformStyle=state$1("");get prevTransformStyle(){return get$4(this.#prevTransformStyle)}set prevTransformStyle(value){set$1(this.#prevTransformStyle,value,!0)}constructor(scrollbar){
+this.scrollbar=scrollbar,this.root=scrollbar.root,user_effect(()=>{this.scrollbar.hasThumb=this.hasThumb}),user_effect(()=>{!this.scrollbar.hasThumb&&this.thumbNode&&(this.prevTransformStyle=this.thumbNode.style.transform)})}setSizes(sizes){this.sizes=sizes}getScrollPosition(pointerPos,dir){return getScrollPositionFromPointer({pointerPos,pointerOffset:this.pointerOffset,sizes:this.sizes,dir})}onThumbPointerUp(){this.pointerOffset=0}onThumbPointerDown(pointerPos){this.pointerOffset=pointerPos}xOnThumbPositionChange(){
+if(!(this.root.viewportNode&&this.thumbNode))return;const scrollPos=this.root.viewportNode.scrollLeft,transformStyle=`translate3d(${getThumbOffsetFromScroll({scrollPos,sizes:this.sizes,dir:this.root.opts.dir.current})}px, 0, 0)`;this.thumbNode.style.transform=transformStyle,this.prevTransformStyle=transformStyle}xOnWheelScroll(scrollPos){this.root.viewportNode&&(this.root.viewportNode.scrollLeft=scrollPos)}xOnDragScroll(pointerPos){this.root.viewportNode&&(this.root.viewportNode.scrollLeft=this.
+getScrollPosition(pointerPos,this.root.opts.dir.current))}yOnThumbPositionChange(){if(!(this.root.viewportNode&&this.thumbNode))return;const scrollPos=this.root.viewportNode.scrollTop,transformStyle=`translate3d(0, ${getThumbOffsetFromScroll({scrollPos,sizes:this.sizes})}px, 0)`;this.thumbNode.style.transform=transformStyle,this.prevTransformStyle=transformStyle}yOnWheelScroll(scrollPos){this.root.viewportNode&&(this.root.viewportNode.scrollTop=scrollPos)}yOnDragScroll(pointerPos){this.root.viewportNode&&
+(this.root.viewportNode.scrollTop=this.getScrollPosition(pointerPos,this.root.opts.dir.current))}}class ScrollAreaScrollbarXState{static create(opts){return ScrollAreaScrollbarAxisContext.set(new ScrollAreaScrollbarXState(opts,ScrollAreaScrollbarVisibleContext.get()))}opts;scrollbarVis;root;scrollbar;attachment;#computedStyle=state$1();get computedStyle(){return get$4(this.#computedStyle)}set computedStyle(value){set$1(this.#computedStyle,value,!0)}constructor(opts,scrollbarVis){this.opts=opts,this.
+scrollbarVis=scrollbarVis,this.root=scrollbarVis.root,this.scrollbar=scrollbarVis.scrollbar,this.attachment=attachRef(this.scrollbar.opts.ref,v=>this.root.scrollbarXNode=v),user_effect(()=>{this.scrollbar.opts.ref.current&&this.opts.mounted.current&&(this.computedStyle=getComputedStyle(this.scrollbar.opts.ref.current))}),user_effect(()=>{this.onResize()})}onThumbPointerDown=pointerPos=>{this.scrollbarVis.onThumbPointerDown(pointerPos.x)};onDragScroll=pointerPos=>{this.scrollbarVis.xOnDragScroll(
+pointerPos.x)};onThumbPointerUp=()=>{this.scrollbarVis.onThumbPointerUp()};onThumbPositionChange=()=>{this.scrollbarVis.xOnThumbPositionChange()};onWheelScroll=(e,maxScrollPos)=>{if(!this.root.viewportNode)return;const scrollPos=this.root.viewportNode.scrollLeft+e.deltaX;this.scrollbarVis.xOnWheelScroll(scrollPos),isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos)&&e.preventDefault()};onResize=()=>{this.scrollbar.opts.ref.current&&this.root.viewportNode&&this.computedStyle&&this.scrollbarVis.
+setSizes({content:this.root.viewportNode.scrollWidth,viewport:this.root.viewportNode.offsetWidth,scrollbar:{size:this.scrollbar.opts.ref.current.clientWidth,paddingStart:toInt(this.computedStyle.paddingLeft),paddingEnd:toInt(this.computedStyle.paddingRight)}})};#thumbSize=user_derived(()=>getThumbSize(this.scrollbarVis.sizes));get thumbSize(){return get$4(this.#thumbSize)}set thumbSize(value){set$1(this.#thumbSize,value)}#props=user_derived(()=>({id:this.scrollbar.opts.id.current,"data-orientati\
+on":"horizontal",style:{bottom:0,left:this.root.opts.dir.current==="rtl"?"var(--bits-scroll-area-corner-width)":0,right:this.root.opts.dir.current==="ltr"?"var(--bits-scroll-area-corner-width)":0,"--bits-scroll-area-thumb-width":`${this.thumbSize}px`},...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarYState{static create(opts){return ScrollAreaScrollbarAxisContext.set(new ScrollAreaScrollbarYState(opts,ScrollAreaScrollbarVisibleContext.
+get()))}opts;scrollbarVis;root;scrollbar;attachment;#computedStyle=state$1();get computedStyle(){return get$4(this.#computedStyle)}set computedStyle(value){set$1(this.#computedStyle,value,!0)}constructor(opts,scrollbarVis){this.opts=opts,this.scrollbarVis=scrollbarVis,this.root=scrollbarVis.root,this.scrollbar=scrollbarVis.scrollbar,this.attachment=attachRef(this.scrollbar.opts.ref,v=>this.root.scrollbarYNode=v),user_effect(()=>{this.scrollbar.opts.ref.current&&this.opts.mounted.current&&(this.computedStyle=
+getComputedStyle(this.scrollbar.opts.ref.current))}),user_effect(()=>{this.onResize()}),this.onThumbPointerDown=this.onThumbPointerDown.bind(this),this.onDragScroll=this.onDragScroll.bind(this),this.onThumbPointerUp=this.onThumbPointerUp.bind(this),this.onThumbPositionChange=this.onThumbPositionChange.bind(this),this.onWheelScroll=this.onWheelScroll.bind(this),this.onResize=this.onResize.bind(this)}onThumbPointerDown(pointerPos){this.scrollbarVis.onThumbPointerDown(pointerPos.y)}onDragScroll(pointerPos){
+this.scrollbarVis.yOnDragScroll(pointerPos.y)}onThumbPointerUp(){this.scrollbarVis.onThumbPointerUp()}onThumbPositionChange(){this.scrollbarVis.yOnThumbPositionChange()}onWheelScroll(e,maxScrollPos){if(!this.root.viewportNode)return;const scrollPos=this.root.viewportNode.scrollTop+e.deltaY;this.scrollbarVis.yOnWheelScroll(scrollPos),isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos)&&e.preventDefault()}onResize(){this.scrollbar.opts.ref.current&&this.root.viewportNode&&this.computedStyle&&
+this.scrollbarVis.setSizes({content:this.root.viewportNode.scrollHeight,viewport:this.root.viewportNode.offsetHeight,scrollbar:{size:this.scrollbar.opts.ref.current.clientHeight,paddingStart:toInt(this.computedStyle.paddingTop),paddingEnd:toInt(this.computedStyle.paddingBottom)}})}#thumbSize=user_derived(()=>getThumbSize(this.scrollbarVis.sizes));get thumbSize(){return get$4(this.#thumbSize)}set thumbSize(value){set$1(this.#thumbSize,value)}#props=user_derived(()=>({id:this.scrollbar.opts.id.current,
+"data-orientation":"vertical",style:{top:0,right:this.root.opts.dir.current==="ltr"?0:void 0,left:this.root.opts.dir.current==="rtl"?0:void 0,bottom:"var(--bits-scroll-area-corner-height)","--bits-scroll-area-thumb-height":`${this.thumbSize}px`},...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarSharedState{static create(){return ScrollAreaScrollbarSharedContext.set(new ScrollAreaScrollbarSharedState(ScrollAreaScrollbarAxisContext.
+get()))}scrollbarState;root;scrollbarVis;scrollbar;#rect=state$1(null);get rect(){return get$4(this.#rect)}set rect(value){set$1(this.#rect,value)}#prevWebkitUserSelect=state$1("");get prevWebkitUserSelect(){return get$4(this.#prevWebkitUserSelect)}set prevWebkitUserSelect(value){set$1(this.#prevWebkitUserSelect,value,!0)}handleResize;handleThumbPositionChange;handleWheelScroll;handleThumbPointerDown;handleThumbPointerUp;#maxScrollPos=user_derived(()=>this.scrollbarVis.sizes.content-this.scrollbarVis.
+sizes.viewport);get maxScrollPos(){return get$4(this.#maxScrollPos)}set maxScrollPos(value){set$1(this.#maxScrollPos,value)}constructor(scrollbarState){this.scrollbarState=scrollbarState,this.root=scrollbarState.root,this.scrollbarVis=scrollbarState.scrollbarVis,this.scrollbar=scrollbarState.scrollbarVis.scrollbar,this.handleResize=useDebounce(()=>this.scrollbarState.onResize(),10),this.handleThumbPositionChange=this.scrollbarState.onThumbPositionChange,this.handleWheelScroll=this.scrollbarState.
+onWheelScroll,this.handleThumbPointerDown=this.scrollbarState.onThumbPointerDown,this.handleThumbPointerUp=this.scrollbarState.onThumbPointerUp,user_effect(()=>{const maxScrollPos=this.maxScrollPos,scrollbarNode=this.scrollbar.opts.ref.current;this.root.viewportNode;const handleWheel=e=>{const node2=e.target;scrollbarNode?.contains(node2)&&this.handleWheelScroll(e,maxScrollPos)};return on(this.root.domContext.getDocument(),"wheel",handleWheel,{passive:!1})}),user_pre_effect(()=>{this.scrollbarVis.
+sizes,untrack$1(()=>this.handleThumbPositionChange())}),new SvelteResizeObserver(()=>this.scrollbar.opts.ref.current,this.handleResize),new SvelteResizeObserver(()=>this.root.contentNode,this.handleResize),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onlostpointercapture=this.onlostpointercapture.bind(this)}handleDragScroll(e){if(!this.rect)return;const x=e.clientX-this.rect.left,y=e.clientY-this.
+rect.top;this.scrollbarState.onDragScroll({x,y})}#cleanupPointerState(){this.rect!==null&&(this.root.domContext.getDocument().body.style.webkitUserSelect=this.prevWebkitUserSelect,this.root.viewportNode&&(this.root.viewportNode.style.scrollBehavior=""),this.rect=null)}onpointerdown(e){if(e.button!==0)return;e.target.setPointerCapture(e.pointerId),this.rect=this.scrollbar.opts.ref.current?.getBoundingClientRect()??null,this.prevWebkitUserSelect=this.root.domContext.getDocument().body.style.webkitUserSelect,
+this.root.domContext.getDocument().body.style.webkitUserSelect="none",this.root.viewportNode&&(this.root.viewportNode.style.scrollBehavior="auto"),this.handleDragScroll(e)}onpointermove(e){this.handleDragScroll(e)}onpointerup(e){const target2=e.target;target2.hasPointerCapture(e.pointerId)&&target2.releasePointerCapture(e.pointerId),this.#cleanupPointerState()}onlostpointercapture(_){this.#cleanupPointerState()}#props=user_derived(()=>mergeProps({...this.scrollbarState.props,style:{position:"abs\
+olute",...this.scrollbarState.props.style},[scrollAreaAttrs.scrollbar]:"",onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerup:this.onpointerup,onlostpointercapture:this.onlostpointercapture}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaThumbImplState{static create(opts){return new ScrollAreaThumbImplState(opts,ScrollAreaScrollbarSharedContext.get())}opts;scrollbarState;attachment;#root;#removeUnlinkedScrollListener=state$1();#debounceScrollEnd=useDebounce(
+()=>{get$4(this.#removeUnlinkedScrollListener)&&(get$4(this.#removeUnlinkedScrollListener)(),set$1(this.#removeUnlinkedScrollListener,void 0))},100);constructor(opts,scrollbarState){this.opts=opts,this.scrollbarState=scrollbarState,this.#root=scrollbarState.root,this.attachment=attachRef(this.opts.ref,v=>this.scrollbarState.scrollbarVis.thumbNode=v),user_effect(()=>{const viewportNode=this.#root.viewportNode;if(!viewportNode)return;const handleScroll=()=>{if(this.#debounceScrollEnd(),!get$4(this.#removeUnlinkedScrollListener)){
+const listener=addUnlinkedScrollListener(viewportNode,this.scrollbarState.handleThumbPositionChange);set$1(this.#removeUnlinkedScrollListener,listener,!0),this.scrollbarState.handleThumbPositionChange()}};return untrack$1(()=>this.scrollbarState.handleThumbPositionChange()),on(viewportNode,"scroll",handleScroll)}),this.onpointerdowncapture=this.onpointerdowncapture.bind(this),this.onpointerup=this.onpointerup.bind(this)}onpointerdowncapture(e){const thumb=e.target;if(!thumb)return;const thumbRect=thumb.
+getBoundingClientRect(),x=e.clientX-thumbRect.left,y=e.clientY-thumbRect.top;this.scrollbarState.handleThumbPointerDown({x,y})}onpointerup(_){this.scrollbarState.handleThumbPointerUp()}#props=user_derived(()=>({id:this.opts.id.current,"data-state":this.scrollbarState.scrollbarVis.hasThumb?"visible":"hidden",style:{width:"var(--bits-scroll-area-thumb-width)",height:"var(--bits-scroll-area-thumb-height)",transform:this.scrollbarState.scrollbarVis.prevTransformStyle},onpointerdowncapture:this.onpointerdowncapture,
+onpointerup:this.onpointerup,[scrollAreaAttrs.thumb]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaCornerImplState{static create(opts){return new ScrollAreaCornerImplState(opts,ScrollAreaRootContext.get())}opts;root;attachment;#width=state$1(0);#height=state$1(0);#hasSize=user_derived(()=>!!(get$4(this.#width)&&get$4(this.#height)));get hasSize(){return get$4(this.#hasSize)}set hasSize(value){set$1(this.#hasSize,value)}constructor(opts,root2){
+this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),new SvelteResizeObserver(()=>this.root.scrollbarXNode,()=>{const height=this.root.scrollbarXNode?.offsetHeight||0;this.root.cornerHeight=height,set$1(this.#height,height,!0)}),new SvelteResizeObserver(()=>this.root.scrollbarYNode,()=>{const width=this.root.scrollbarYNode?.offsetWidth||0;this.root.cornerWidth=width,set$1(this.#width,width,!0)})}#props=user_derived(()=>({id:this.opts.id.current,style:{width:get$4(this.#width),
+height:get$4(this.#height),position:"absolute",right:this.root.opts.dir.current==="ltr"?0:void 0,left:this.root.opts.dir.current==="rtl"?0:void 0,bottom:0},[scrollAreaAttrs.corner]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}function toInt(value){return value?Number.parseInt(value,10):0}function getThumbRatio(viewportSize,contentSize){const ratio=viewportSize/contentSize;return Number.isNaN(ratio)?0:ratio}function getThumbSize(sizes){
+const ratio=getThumbRatio(sizes.viewport,sizes.content),scrollbarPadding=sizes.scrollbar.paddingStart+sizes.scrollbar.paddingEnd,thumbSize=(sizes.scrollbar.size-scrollbarPadding)*ratio;return Math.max(thumbSize,18)}function getScrollPositionFromPointer({pointerPos,pointerOffset,sizes,dir="ltr"}){const thumbSizePx=getThumbSize(sizes),thumbCenter=thumbSizePx/2,offset2=pointerOffset||thumbCenter,thumbOffsetFromEnd=thumbSizePx-offset2,minPointerPos=sizes.scrollbar.paddingStart+offset2,maxPointerPos=sizes.
+scrollbar.size-sizes.scrollbar.paddingEnd-thumbOffsetFromEnd,maxScrollPos=sizes.content-sizes.viewport,scrollRange=dir==="ltr"?[0,maxScrollPos]:[maxScrollPos*-1,0];return linearScale([minPointerPos,maxPointerPos],scrollRange)(pointerPos)}function getThumbOffsetFromScroll({scrollPos,sizes,dir="ltr"}){const thumbSizePx=getThumbSize(sizes),scrollbarPadding=sizes.scrollbar.paddingStart+sizes.scrollbar.paddingEnd,scrollbar=sizes.scrollbar.size-scrollbarPadding,maxScrollPos=sizes.content-sizes.viewport,
+maxThumbPos=scrollbar-thumbSizePx,scrollClampRange=dir==="ltr"?[0,maxScrollPos]:[maxScrollPos*-1,0],scrollWithoutMomentum=clamp(scrollPos,scrollClampRange[0],scrollClampRange[1]);return linearScale([0,maxScrollPos],[0,maxThumbPos])(scrollWithoutMomentum)}function linearScale(input,output){return value=>{if(input[0]===input[1]||output[0]===output[1])return output[0];const ratio=(output[1]-output[0])/(input[1]-input[0]);return output[0]+ratio*(value-input[0])}}function isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos){
+return scrollPos>0&&scrollPos<maxScrollPos}function addUnlinkedScrollListener(node2,handler){let prevPosition={left:node2.scrollLeft,top:node2.scrollTop},rAF=0;const win=getWindow$1(node2);return function loop2(){const position2={left:node2.scrollLeft,top:node2.scrollTop},isHorizontalScroll=prevPosition.left!==position2.left,isVerticalScroll=prevPosition.top!==position2.top;(isHorizontalScroll||isVerticalScroll)&&handler(),prevPosition=position2,rAF=win.requestAnimationFrame(loop2)}(),()=>win.cancelAnimationFrame(
+rAF)}var root_2$1e=from_html("<div><!></div>");function Scroll_area$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),type2=prop($$props,"type",3,"hover"),dir=prop($$props,"dir",3,"ltr"),scrollHideDelay=prop($$props,"scrollHideDelay",3,600),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","type","dir","scrollHideDelay","children","child"]);const rootState=ScrollAreaRootState.create(
+{type:boxWith$1(()=>type2()),dir:boxWith$1(()=>dir()),scrollHideDelay:boxWith$1(()=>scrollHideDelay()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1e();
+attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root$1J=from_html("<div><div><!></div></div>");function Scroll_area_viewport($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","id","children"]);const viewportState=ScrollAreaViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState.props)),mergedContentProps=user_derived(()=>mergeProps({},viewportState.contentProps));var div=root$1J();attribute_effect(div,()=>({...get$4(mergedProps)}));var div_1=child(div);attribute_effect(div_1,()=>({...get$4(mergedContentProps)}));var node2=child(div_1);
+snippet(node2,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor,div),pop()}var root_2$1d=from_html("<div><!></div>");function Scroll_area_scrollbar_shared($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children"]);const scrollbarSharedState=ScrollAreaScrollbarSharedState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarSharedState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{
+var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1d();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Scroll_area_scrollbar_x($$anchor,$$props){
+push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const isMounted=new IsMounted,scrollbarXState=ScrollAreaScrollbarXState.create({mounted:boxWith$1(()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarXState.props));Scroll_area_scrollbar_shared($$anchor,spread_props(()=>get$4(mergedProps))),pop()}function Scroll_area_scrollbar_y($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);
+const isMounted=new IsMounted,scrollbarYState=ScrollAreaScrollbarYState.create({mounted:boxWith$1(()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarYState.props));Scroll_area_scrollbar_shared($$anchor,spread_props(()=>get$4(mergedProps))),pop()}function Scroll_area_scrollbar_visible($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const scrollbarVisibleState=ScrollAreaScrollbarVisibleState.create();var fragment=comment$2(),
+node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_scrollbar_x($$anchor2,spread_props(()=>restProps))},alternate=$$anchor2=>{Scroll_area_scrollbar_y($$anchor2,spread_props(()=>restProps))};if_block(node2,$$render=>{scrollbarVisibleState.scrollbar.opts.orientation.current==="horizontal"?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Scroll_area_scrollbar_auto($$anchor,$$props){push$1($$props,!0);let forceMount=prop($$props,"forceMount",3,!1),
+restProps=rest_props($$props,["$$slots","$$events","$$legacy","forceMount"]);const scrollbarAutoState=ScrollAreaScrollbarAutoState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarAutoState.props));{const presence=$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>get$4(mergedProps)))};let $0=user_derived(()=>forceMount()||scrollbarAutoState.isVisible);Presence_layer($$anchor,{get open(){return get$4($0)},get ref(){return scrollbarAutoState.scrollbar.opts.ref},
+presence,$$slots:{presence:!0}})}pop()}function Scroll_area_scrollbar_scroll($$anchor,$$props){push$1($$props,!0);let forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","forceMount"]);const scrollbarScrollState=ScrollAreaScrollbarScrollState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarScrollState.props));{const presence=$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>get$4(mergedProps)))};let $0=user_derived(
+()=>forceMount()||!scrollbarScrollState.isHidden);Presence_layer($$anchor,spread_props(()=>get$4(mergedProps),{get open(){return get$4($0)},get ref(){return scrollbarScrollState.scrollbar.opts.ref},presence,$$slots:{presence:!0}}))}pop()}function Scroll_area_scrollbar_hover($$anchor,$$props){push$1($$props,!0);let forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","forceMount"]);const scrollbarHoverState=ScrollAreaScrollbarHoverState.create(),
+scrollbarAutoState=ScrollAreaScrollbarAutoState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarHoverState.props,scrollbarAutoState.props,{"data-state":scrollbarHoverState.isVisible?"visible":"hidden"})),open2=user_derived(()=>forceMount()||scrollbarHoverState.isVisible&&scrollbarAutoState.isVisible);Presence_layer($$anchor,{get open(){return get$4(open2)},get ref(){return scrollbarAutoState.scrollbar.opts.ref},presence:$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(
+()=>get$4(mergedProps)))},$$slots:{presence:!0}}),pop()}function Scroll_area_scrollbar$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","orientation"]);const scrollbarState=ScrollAreaScrollbarState.create({orientation:boxWith$1(()=>$$props.orientation),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),type2=user_derived(
+()=>scrollbarState.root.opts.type.current);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_scrollbar_hover($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))},alternate_2=$$anchor2=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent_1=$$anchor3=>{Scroll_area_scrollbar_scroll($$anchor3,spread_props(()=>restProps,{get id(){return id2()}}))},alternate_1=$$anchor3=>{var fragment_4=comment$2(),node_2=first_child(fragment_4);
+{var consequent_2=$$anchor4=>{Scroll_area_scrollbar_auto($$anchor4,spread_props(()=>restProps,{get id(){return id2()}}))},alternate=$$anchor4=>{var fragment_6=comment$2(),node_3=first_child(fragment_6);{var consequent_3=$$anchor5=>{Scroll_area_scrollbar_visible($$anchor5,spread_props(()=>restProps,{get id(){return id2()}}))};if_block(node_3,$$render=>{get$4(type2)==="always"&&$$render(consequent_3)},!0)}append($$anchor4,fragment_6)};if_block(node_2,$$render=>{get$4(type2)==="auto"?$$render(consequent_2):
+$$render(alternate,!1)},!0)}append($$anchor3,fragment_4)};if_block(node_1,$$render=>{get$4(type2)==="scroll"?$$render(consequent_1):$$render(alternate_1,!1)},!0)}append($$anchor2,fragment_2)};if_block(node2,$$render=>{get$4(type2)==="hover"?$$render(consequent):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}var root_2$1c=from_html("<div><!></div>");function Scroll_area_thumb_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["\
+$$slots","$$events","$$legacy","ref","id","child","children","present"]);const isMounted=new IsMounted,thumbState=ScrollAreaThumbImplState.create({id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v)),mounted:boxWith$1(()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props,{style:{hidden:!$$props.present}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(
+node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1c();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Scroll_area_thumb($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop(
+$$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount"]);const scrollbarState=ScrollAreaScrollbarVisibleContext.get();{const presence=($$anchor2,$$arg0)=>{let present=()=>$$arg0?.().present;Scroll_area_thumb_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get present(){return present()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};
+let $0=user_derived(()=>forceMount()||scrollbarState.hasThumb);Presence_layer($$anchor,{get open(){return get$4($0)},get ref(){return scrollbarState.scrollbar.opts.ref},presence,$$slots:{presence:!0}})}pop()}var root_2$1b=from_html("<div><!></div>");function Scroll_area_corner_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","children","child"]);const cornerState=ScrollAreaCornerImplState.create(
+{id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,cornerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1b();attribute_effect(div,()=>({...get$4(mergedProps)}));var node_2=child(div);snippet(node_2,
+()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Scroll_area_corner($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id"]);const scrollAreaState=ScrollAreaRootContext.get(),hasBothScrollbarsVisible=user_derived(
+()=>!!(scrollAreaState.scrollbarXNode&&scrollAreaState.scrollbarYNode)),hasCorner=user_derived(()=>scrollAreaState.opts.type.current!=="scroll"&&get$4(hasBothScrollbarsVisible));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_corner_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};if_block(node2,$$render=>{get$4(hasCorner)&&$$render(consequent)})}append($$anchor,fragment),pop()}
+var root$1I=from_html("<!> <!>",1);function Select($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15),onValueChange=prop($$props,"onValueChange",3,noop$1),name=prop($$props,"name",3,""),disabled=prop($$props,"disabled",3,!1),open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),loop2=prop($$props,"loop",3,!1),scrollAlignment=prop($$props,"scrollAlignment",3,"nearest"),required2=prop(
+$$props,"required",3,!1),items2=prop($$props,"items",19,()=>[]),allowDeselect=prop($$props,"allowDeselect",3,!1);function handleDefaultValue(){value()===void 0&&value($$props.type==="single"?"":[])}handleDefaultValue(),watch$1.pre(()=>value(),()=>{handleDefaultValue()});let inputValue=state$1("");const rootState=SelectRootState.create({type:$$props.type,value:boxWith$1(()=>value(),v=>{value(v),onValueChange()(v)}),disabled:boxWith$1(()=>disabled()),required:boxWith$1(()=>required2()),open:boxWith$1(
+()=>open2(),v=>{open2(v),onOpenChange()(v)}),loop:boxWith$1(()=>loop2()),scrollAlignment:boxWith$1(()=>scrollAlignment()),name:boxWith$1(()=>name()),isCombobox:!1,items:boxWith$1(()=>items2()),allowDeselect:boxWith$1(()=>allowDeselect()),inputValue:boxWith$1(()=>get$4(inputValue),v=>set$1(inputValue,v,!0)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=root$1I(),node2=first_child(fragment);Floating_layer(node2,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),
+node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent=$$anchor3=>{Select_hidden_input($$anchor3,{get autocomplete(){return $$props.autocomplete}})},alternate=$$anchor3=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);each(node_4,16,()=>rootState.opts.value.current,item=>item,($$anchor4,item)=>{
+Select_hidden_input($$anchor4,{get value(){return item},get autocomplete(){return $$props.autocomplete}})}),append($$anchor3,fragment_4)};if_block(node_3,$$render=>{rootState.opts.value.current.length===0?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_2)},alternate_1=$$anchor2=>{Select_hidden_input($$anchor2,{get autocomplete(){return $$props.autocomplete},get value(){return rootState.opts.value.current},set value($$value){rootState.opts.value.current=$$value}})};if_block(
+node_2,$$render=>{Array.isArray(rootState.opts.value.current)?$$render(consequent_1):$$render(alternate_1,!1)})}append($$anchor,fragment),pop()}var root_3$W=from_html("<button><!></button>");function Select_trigger$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","type"]);const triggerState=SelectTriggerState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Floating_layer_anchor,($$anchor2,FloatingLayer_Anchor)=>{FloatingLayer_Anchor($$anchor2,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{
+var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor4,fragment_2)},alternate=$$anchor4=>{var button=root_3$W();attribute_effect(button,()=>({...get$4(mergedProps)}));var node_3=child(button);snippet(node_3,()=>$$props.children??noop$3),reset(button),append($$anchor4,button)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})}),
+append($$anchor,fragment),pop()}const switchAttrs=createBitsAttrs({component:"switch",parts:["root","thumb"]}),SwitchRootContext=new Context$1("Switch.Root");class SwitchRootState{static create(opts){return SwitchRootContext.set(new SwitchRootState(opts))}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this)}#toggle(){this.opts.checked.current=!this.opts.checked.current}onkeydown(e){!(e.key===
+ENTER||e.key===SPACE)||this.opts.disabled.current||(e.preventDefault(),this.#toggle())}onclick(_){this.opts.disabled.current||this.#toggle()}#sharedProps=user_derived(()=>({"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-state":getDataChecked(this.opts.checked.current),"data-required":boolToEmptyStrOrUndef(this.opts.required.current)}));get sharedProps(){return get$4(this.#sharedProps)}set sharedProps(value){set$1(this.#sharedProps,value)}#snippetProps=user_derived(()=>({
+checked:this.opts.checked.current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({...this.sharedProps,id:this.opts.id.current,role:"switch",disabled:boolToTrueOrUndef(this.opts.disabled.current),"aria-checked":getAriaChecked(this.opts.checked.current,!1),"aria-required":boolToStr(this.opts.required.current),[switchAttrs.root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){
+return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SwitchInputState{static create(){return new SwitchInputState(SwitchRootContext.get())}root;#shouldRender=user_derived(()=>this.root.opts.name.current!==void 0);get shouldRender(){return get$4(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2}#props=user_derived(()=>({type:"checkbox",name:this.root.opts.name.current,value:this.root.opts.value.current,checked:this.
+root.opts.checked.current,disabled:this.root.opts.disabled.current,required:this.root.opts.required.current}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class SwitchThumbState{static create(opts){return new SwitchThumbState(opts,SwitchRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref)}#snippetProps=user_derived(()=>({checked:this.root.opts.checked.current}));get snippetProps(){return get$4(
+this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({...this.root.sharedProps,id:this.opts.id.current,[switchAttrs.thumb]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}function Switch_input($$anchor,$$props){push$1($$props,!1);const inputState=SwitchInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(
+()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1a=from_html("<button><!></button>"),root$1H=from_html("<!> <!>",1);function Switch$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required",3,!1),checked=prop($$props,"checked",15,!1),value=prop($$props,
+"value",3,"on"),name=prop($$props,"name",3,void 0),type2=prop($$props,"type",3,"button"),onCheckedChange=prop($$props,"onCheckedChange",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","required","checked","value","name","type","onCheckedChange"]);const rootState=SwitchRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),onCheckedChange()?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),value:boxWith$1(
+()=>value()),name:boxWith$1(()=>name()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{type:type2()}));var fragment=root$1H(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$4(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$4($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{
+var button=root_2$1a();attribute_effect(button,()=>({...get$4(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}var node_3=sibling(node2,2);Switch_input(node_3,{}),append($$anchor,fragment),pop()}var root_2$19=from_html("<span><!></span>");function Switch_thumb($$anchor,$$props){const uid=props_id();push$1($$props,
+!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id"]);const thumbState=SwitchThumbState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(
+()=>({props:get$4(mergedProps),...thumbState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$4($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span=root_2$19();attribute_effect(span,()=>({...get$4(mergedProps)}));var node_2=child(span);snippet(node_2,()=>$$props.children??noop$3,()=>thumbState.snippetProps),reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}class TimeoutFn{#interval;#cb;#timer=null;constructor(cb,interval){
+this.#cb=cb,this.#interval=interval,this.stop=this.stop.bind(this),this.start=this.start.bind(this),onDestroyEffect(this.stop)}#clear(){this.#timer!==null&&(window.clearTimeout(this.#timer),this.#timer=null)}stop(){this.#clear()}start(...args){this.#clear(),this.#timer=window.setTimeout(()=>{this.#timer=null,this.#cb(...args)},this.#interval)}}const tooltipAttrs=createBitsAttrs({component:"tooltip",parts:["content","trigger"]}),TooltipProviderContext=new Context$1("Tooltip.Provider"),TooltipRootContext=new Context$1(
+"Tooltip.Root");class TooltipProviderState{static create(opts){return TooltipProviderContext.set(new TooltipProviderState(opts))}opts;#isOpenDelayed=state$1(!0);get isOpenDelayed(){return get$4(this.#isOpenDelayed)}set isOpenDelayed(value){set$1(this.#isOpenDelayed,value,!0)}isPointerInTransit=simpleBox(!1);#timerFn;#openTooltip=state$1(null);constructor(opts){this.opts=opts,this.#timerFn=new TimeoutFn(()=>{this.isOpenDelayed=!0},this.opts.skipDelayDuration.current)}#startTimer=()=>{this.opts.skipDelayDuration.
+current!==0&&this.#timerFn.start()};#clearTimer=()=>{this.#timerFn.stop()};onOpen=tooltip=>{get$4(this.#openTooltip)&&get$4(this.#openTooltip)!==tooltip&&get$4(this.#openTooltip).handleClose(),this.#clearTimer(),this.isOpenDelayed=!1,set$1(this.#openTooltip,tooltip,!0)};onClose=tooltip=>{get$4(this.#openTooltip)===tooltip&&set$1(this.#openTooltip,null),this.#startTimer()};isTooltipOpen=tooltip=>get$4(this.#openTooltip)===tooltip}class TooltipRootState{static create(opts){return TooltipRootContext.
+set(new TooltipRootState(opts,TooltipProviderContext.get()))}opts;provider;#delayDuration=user_derived(()=>this.opts.delayDuration.current??this.provider.opts.delayDuration.current);get delayDuration(){return get$4(this.#delayDuration)}set delayDuration(value){set$1(this.#delayDuration,value)}#disableHoverableContent=user_derived(()=>this.opts.disableHoverableContent.current??this.provider.opts.disableHoverableContent.current);get disableHoverableContent(){return get$4(this.#disableHoverableContent)}set disableHoverableContent(value){
+set$1(this.#disableHoverableContent,value)}#disableCloseOnTriggerClick=user_derived(()=>this.opts.disableCloseOnTriggerClick.current??this.provider.opts.disableCloseOnTriggerClick.current);get disableCloseOnTriggerClick(){return get$4(this.#disableCloseOnTriggerClick)}set disableCloseOnTriggerClick(value){set$1(this.#disableCloseOnTriggerClick,value)}#disabled=user_derived(()=>this.opts.disabled.current??this.provider.opts.disabled.current);get disabled(){return get$4(this.#disabled)}set disabled(value){
+set$1(this.#disabled,value)}#ignoreNonKeyboardFocus=user_derived(()=>this.opts.ignoreNonKeyboardFocus.current??this.provider.opts.ignoreNonKeyboardFocus.current);get ignoreNonKeyboardFocus(){return get$4(this.#ignoreNonKeyboardFocus)}set ignoreNonKeyboardFocus(value){set$1(this.#ignoreNonKeyboardFocus,value)}#contentNode=state$1(null);get contentNode(){return get$4(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){
+return get$4(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#wasOpenDelayed=state$1(!1);#timerFn;#stateAttr=user_derived(()=>this.opts.open.current?get$4(this.#wasOpenDelayed)?"delayed-open":"instant-open":"closed");get stateAttr(){return get$4(this.#stateAttr)}set stateAttr(value){set$1(this.#stateAttr,value)}constructor(opts,provider){this.opts=opts,this.provider=provider,this.#timerFn=new TimeoutFn(()=>{set$1(this.#wasOpenDelayed,!0),this.opts.open.current=!0},this.
+delayDuration??0),this.contentPresence=new PresenceManager({open:this.opts.open,ref:boxWith$1(()=>this.contentNode),onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),watch$1(()=>this.delayDuration,()=>{this.delayDuration!==void 0&&(this.#timerFn=new TimeoutFn(()=>{set$1(this.#wasOpenDelayed,!0),this.opts.open.current=!0},this.delayDuration))}),watch$1(()=>this.opts.open.current,isOpen=>{isOpen?this.provider.onOpen(this):this.provider.onClose(this)},{lazy:!0})}handleOpen=()=>{
+this.#timerFn.stop(),set$1(this.#wasOpenDelayed,!1),this.opts.open.current=!0};handleClose=()=>{this.#timerFn.stop(),this.opts.open.current=!1};#handleDelayedOpen=()=>{this.#timerFn.stop();const shouldSkipDelay=!this.provider.isOpenDelayed,delayDuration=this.delayDuration??0;shouldSkipDelay||delayDuration===0?(set$1(this.#wasOpenDelayed,delayDuration>0&&shouldSkipDelay,!0),this.opts.open.current=!0):this.#timerFn.start()};onTriggerEnter=()=>{this.#handleDelayedOpen()};onTriggerLeave=()=>{this.disableHoverableContent?
+this.handleClose():this.#timerFn.stop()}}class TooltipTriggerState{static create(opts){return new TooltipTriggerState(opts,TooltipRootContext.get())}opts;root;attachment;#isPointerDown=simpleBox(!1);#hasPointerMoveOpened=state$1(!1);#isDisabled=user_derived(()=>this.opts.disabled.current||this.root.disabled);domContext;#transitCheckTimeout=null;constructor(opts,root2){this.opts=opts,this.root=root2,this.domContext=new DOMContext(opts.ref),this.attachment=attachRef(this.opts.ref,v=>this.root.triggerNode=
+v)}#clearTransitCheck=()=>{this.#transitCheckTimeout!==null&&(clearTimeout(this.#transitCheckTimeout),this.#transitCheckTimeout=null)};handlePointerUp=()=>{this.#isPointerDown.current=!1};#onpointerup=()=>{get$4(this.#isDisabled)||(this.#isPointerDown.current=!1)};#onpointerdown=()=>{get$4(this.#isDisabled)||(this.#isPointerDown.current=!0,this.domContext.getDocument().addEventListener("pointerup",()=>{this.handlePointerUp()},{once:!0}))};#onpointerenter=e=>{if(!get$4(this.#isDisabled)&&e.pointerType!==
+"touch"){if(this.root.provider.isPointerInTransit.current){this.#clearTransitCheck(),this.#transitCheckTimeout=window.setTimeout(()=>{this.root.provider.isPointerInTransit.current&&(this.root.provider.isPointerInTransit.current=!1,this.root.onTriggerEnter(),set$1(this.#hasPointerMoveOpened,!0))},250);return}this.root.onTriggerEnter(),set$1(this.#hasPointerMoveOpened,!0)}};#onpointermove=e=>{get$4(this.#isDisabled)||e.pointerType!=="touch"&&(get$4(this.#hasPointerMoveOpened)||(this.#clearTransitCheck(),
+this.root.provider.isPointerInTransit.current=!1,this.root.onTriggerEnter(),set$1(this.#hasPointerMoveOpened,!0)))};#onpointerleave=()=>{get$4(this.#isDisabled)||(this.#clearTransitCheck(),this.root.onTriggerLeave(),set$1(this.#hasPointerMoveOpened,!1))};#onfocus=e=>{this.#isPointerDown.current||get$4(this.#isDisabled)||this.root.ignoreNonKeyboardFocus&&!isFocusVisible(e.currentTarget)||this.root.handleOpen()};#onblur=()=>{get$4(this.#isDisabled)||this.root.handleClose()};#onclick=()=>{this.root.
+disableCloseOnTriggerClick||get$4(this.#isDisabled)||this.root.handleClose()};#props=user_derived(()=>({id:this.opts.id.current,"aria-describedby":this.root.opts.open.current?this.root.contentNode?.id:void 0,"data-state":this.root.stateAttr,"data-disabled":boolToEmptyStrOrUndef(get$4(this.#isDisabled)),"data-delay-duration":`${this.root.delayDuration}`,[tooltipAttrs.trigger]:"",tabindex:get$4(this.#isDisabled)?void 0:this.opts.tabindex.current,disabled:this.opts.disabled.current,onpointerup:this.#onpointerup,
+onpointerdown:this.#onpointerdown,onpointerenter:this.#onpointerenter,onpointermove:this.#onpointermove,onpointerleave:this.#onpointerleave,onfocus:this.#onfocus,onblur:this.#onblur,onclick:this.#onclick,...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}}class TooltipContentState{static create(opts){return new TooltipContentState(opts,TooltipRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=
+attachRef(this.opts.ref,v=>this.root.contentNode=v),new SafePolygon({triggerNode:()=>this.root.triggerNode,contentNode:()=>this.root.contentNode,enabled:()=>this.root.opts.open.current&&!this.root.disableHoverableContent,onPointerExit:()=>{this.root.provider.isTooltipOpen(this.root)&&this.root.handleClose()}}),onMountEffect(()=>on(window,"scroll",e=>{const target2=e.target;target2&&target2.contains(this.root.triggerNode)&&this.root.handleClose()}))}onInteractOutside=e=>{if(isElement$1(e.target)&&
+this.root.triggerNode?.contains(e.target)&&this.root.disableCloseOnTriggerClick){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current?.(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.
+current}));get snippetProps(){return get$4(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,"data-state":this.root.stateAttr,"data-disabled":boolToEmptyStrOrUndef(this.root.disabled),style:{outline:"none"},[tooltipAttrs.content]:"",...this.attachment}));get props(){return get$4(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,
+onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus}}function Tooltip($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);TooltipRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),delayDuration:boxWith$1(()=>$$props.delayDuration),disableCloseOnTriggerClick:boxWith$1(()=>$$props.disableCloseOnTriggerClick),disableHoverableContent:boxWith$1(
+()=>$$props.disableHoverableContent),ignoreNonKeyboardFocus:boxWith$1(()=>$$props.ignoreNonKeyboardFocus),disabled:boxWith$1(()=>$$props.disabled),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{tooltip:!0,children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$A=from_html("<div><div><!></div></div>"),root_9$o=from_html(
+"<div><div><!></div></div>");function Tooltip_content$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"top"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),avoidCollisions=prop($$props,"avoidCollisions",3,!0),arrowPadding=prop($$props,"arrowPadding",3,0),sticky=prop($$props,"sticky",3,"partial"),hideWhenDetached=prop($$props,"hideWhenDetached",
+3,!1),collisionPadding=prop($$props,"collisionPadding",3,0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","side","sideOffset","align","avoidCollisions","arrowPadding","sticky","strategy","hideWhenDetached","collisionPadding","onInteractOutside","onEscapeKeydown","forceMount","style"]);const contentState=TooltipContentState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),floatingProps=user_derived(()=>({side:side(),sideOffset:sideOffset(),align:align(),avoidCollisions:avoidCollisions(),arrowPadding:arrowPadding(),sticky:sticky(),hideWhenDetached:hideWhenDetached(),collisionPadding:collisionPadding(),strategy:$$props.strategy})),mergedProps=user_derived(()=>mergeProps(restProps,get$4(floatingProps),
+contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{{const popper=($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("tooltip")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $02=user_derived(()=>({
+props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$4($02))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$A();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$4(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):
+$$render(alternate,!1)})}append($$anchor3,fragment_2)};let $0=user_derived(()=>contentState.root.disableHoverableContent?"none":"auto");Popper_layer_force_mount($$anchor2,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get enabled(){return contentState.root.opts.open.current},get id(){return id2()},trapFocus:!1,loop:!1,preventScroll:!1,forceMount:!0,get ref(){return contentState.opts.ref},tooltip:!0,get shouldRender(){return contentState.shouldRender},get contentPointerEvents(){
+return get$4($0)},popper,$$slots:{popper:!0}}))}},alternate_2=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_3=$$anchor3=>{{const popper=($$anchor4,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("tooltip")},{style:$$props.style}));var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_2=$$anchor5=>{var fragment_7=comment$2(),
+node_6=first_child(fragment_7);{let $02=user_derived(()=>({props:get$4(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_6,()=>$$props.child,()=>get$4($02))}append($$anchor5,fragment_7)},alternate_1=$$anchor5=>{var div_2=root_9$o();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$4(finalProps)}));var node_7=child(div_3);snippet(node_7,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor5,
+div_2)};if_block(node_5,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,!1)})}append($$anchor4,fragment_6)};let $0=user_derived(()=>contentState.root.disableHoverableContent?"none":"auto");Popper_layer($$anchor3,spread_props(()=>get$4(mergedProps),()=>contentState.popperProps,{get open(){return contentState.root.opts.open.current},get id(){return id2()},trapFocus:!1,loop:!1,preventScroll:!1,forceMount:!1,get ref(){return contentState.opts.ref},tooltip:!0,get shouldRender(){return contentState.
+shouldRender},get contentPointerEvents(){return get$4($0)},popper,$$slots:{popper:!0}}))}};if_block(node_4,$$render=>{forceMount()||$$render(consequent_3)},!0)}append($$anchor2,fragment_4)};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}var root_3$V=from_html("<button><!></button>");function Tooltip_trigger$1($$anchor,$$props){const uid=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid)),disabled=prop(
+$$props,"disabled",3,!1),type2=prop($$props,"type",3,"button"),tabindex=prop($$props,"tabindex",3,0),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","disabled","type","tabindex","ref"]);const triggerState=TooltipTriggerState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()??!1),tabindex:boxWith$1(()=>tabindex()??0),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.
+props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},tooltip:!0,children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$V();attribute_effect(button,()=>({...get$4(mergedProps)}));
+var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function Tooltip_arrow($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);Floating_layer_arrow($$anchor,spread_props(()=>restProps,{get ref(){return ref2()},
+set ref($$value){ref2($$value)}})),pop()}function Tooltip_provider($$anchor,$$props){push$1($$props,!0);let delayDuration=prop($$props,"delayDuration",3,700),disableCloseOnTriggerClick=prop($$props,"disableCloseOnTriggerClick",3,!1),disableHoverableContent=prop($$props,"disableHoverableContent",3,!1),disabled=prop($$props,"disabled",3,!1),ignoreNonKeyboardFocus=prop($$props,"ignoreNonKeyboardFocus",3,!1),skipDelayDuration=prop($$props,"skipDelayDuration",3,300);TooltipProviderState.create({delayDuration:boxWith$1(
+()=>delayDuration()),disableCloseOnTriggerClick:boxWith$1(()=>disableCloseOnTriggerClick()),disableHoverableContent:boxWith$1(()=>disableHoverableContent()),disabled:boxWith$1(()=>disabled()),ignoreNonKeyboardFocus:boxWith$1(()=>ignoreNonKeyboardFocus()),skipDelayDuration:boxWith$1(()=>skipDelayDuration())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}function Tooltip_trigger($$anchor,$$props){push$1($$props,!0);
+let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Tooltip_trigger$1,($$anchor2,TooltipPrimitive_Trigger)=>{TooltipPrimitive_Trigger($$anchor2,spread_props({"data-slot":"tooltip-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}var root_3$U=from_html("<div></div>"),root_2$18=from_html("<!> <!>",1);function Tooltip_content($$anchor,$$props){
+push$1($$props,!0);const tooltipContent=$$anchor2=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Tooltip_content$1,($$anchor3,TooltipPrimitive_Content)=>{TooltipPrimitive_Content($$anchor3,spread_props({"data-slot":"tooltip-content",get sideOffset(){return sideOffset()},get side(){return side()},get class(){return get$4(contentClass)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$18(),
+node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);{const child2=($$anchor5,$$arg0)=>{let props=()=>$$arg0?.().props;var div=root_3$U();attribute_effect(div,$0=>({class:$0,...props()}),[()=>cn$1("z-50 size-2.5 rotate-45 rounded-[2px] bg-primary","data-[side=top]:translate-x-1/2 data-[side=top]:translate-y-[calc(-50%_+_2px)]","data-[side=bottom]:-translate-x-1/2 data-[side=bottom]:-translate-y-[calc(-50%_+_1px)]","data-[side=right]:translate-x\
+-[calc(50%_+_2px)] data-[side=right]:translate-y-1/2","data-[side=left]:-translate-y-[calc(50%_-_3px)]",$$props.arrowClasses)]),append($$anchor5,div)};component(node_2,()=>Tooltip_arrow,($$anchor5,TooltipPrimitive_Arrow)=>{TooltipPrimitive_Arrow($$anchor5,{child:child2,$$slots:{child:!0}})})}append($$anchor4,fragment_1)},$$slots:{default:!0}}))}),append($$anchor2,fragment)};let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,0),side=prop($$props,"side",3,"top"),noPortal=prop(
+$$props,"noPortal",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","side","children","arrowClasses","noPortal"]);const contentClass=user_derived(()=>cn$1("z-50 w-fit origin-(--bits-tooltip-content-transform-origin) animate-in rounded-md bg-primary px-3 py-1.5 text-xs text-balance text-primary-foreground fade-in-0 zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side\
+=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95",$$props.class));var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent=$$anchor2=>{tooltipContent($$anchor2)},alternate=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);component(node_4,()=>Portal$2,($$anchor3,TooltipPrimitive_Portal)=>{TooltipPrimitive_Portal($$anchor3,{children:($$anchor4,$$slotProps)=>{tooltipContent($$anchor4)},$$slots:{
+default:!0}})}),append($$anchor2,fragment_4)};if_block(node_3,$$render=>{noPortal()?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment_2),pop()}const Root$5=Tooltip,Provider=Tooltip_provider;var root_4$z=from_html("<p> </p>"),root_1$12=from_html("<!> <!>",1);function ActionIcon($$anchor,$$props){let variant=prop($$props,"variant",3,"ghost"),size2=prop($$props,"size",3,"sm"),className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),iconSize=prop($$props,"icon\
+Size",3,"h-3 w-3");var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$12(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{{let $0=user_derived(()=>$$props["aria-label"]||$$props.tooltip);Button($$anchor5,{get variant(){return variant()},get size(){return size2()},
+get disabled(){return disabled()},get onclick(){return $$props.onclick},get class(){return`h-6 w-6 p-0 ${className()??""} flex`},get"aria-label"(){return get$4($0)},children:($$anchor6,$$slotProps3)=>{const IconComponent=user_derived(()=>$$props.icon);var fragment_3=comment$2(),node_2=first_child(fragment_3);component(node_2,()=>get$4(IconComponent),($$anchor7,IconComponent_1)=>{IconComponent_1($$anchor7,{get class(){return iconSize()}})}),append($$anchor6,fragment_3)},$$slots:{default:!0}})}},$$slots:{
+default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var p2=root_4$z(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.tooltip)),append($$anchor5,p2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment)}const defaultAttributes={xmlns:"http://www.w3.org/2000/svg",width:24,height:24,viewBox:"0 0 24 24",
+fill:"none",stroke:"currentColor","stroke-width":2,"stroke-linecap":"round","stroke-linejoin":"round"};var root$1G=from_svg("<svg><!><!></svg>");function Icon($$anchor,$$props){push$1($$props,!0);const color=prop($$props,"color",3,"currentColor"),size2=prop($$props,"size",3,24),strokeWidth=prop($$props,"strokeWidth",3,2),absoluteStrokeWidth=prop($$props,"absoluteStrokeWidth",3,!1),iconNode=prop($$props,"iconNode",19,()=>[]),props=rest_props($$props,["$$slots","$$events","$$legacy","name","color",
+"size","strokeWidth","absoluteStrokeWidth","iconNode","children"]);var svg2=root$1G();attribute_effect(svg2,$0=>({...defaultAttributes,...props,width:size2(),height:size2(),stroke:color(),"stroke-width":$0,class:["lucide-icon lucide",$$props.name&&`lucide-${$$props.name}`,$$props.class]}),[()=>absoluteStrokeWidth()?Number(strokeWidth())*24/Number(size2()):strokeWidth()]);var node2=child(svg2);each(node2,17,iconNode,index$2,($$anchor2,$$item)=>{var $$array=user_derived(()=>to_array(get$4($$item),
+2));let tag=()=>get$4($$array)[0],attrs=()=>get$4($$array)[1];var fragment=comment$2(),node_1=first_child(fragment);element$4(node_1,tag,!0,($$element,$$anchor3)=>{attribute_effect($$element,()=>({...attrs()}))}),append($$anchor2,fragment)});var node_2=sibling(node2);snippet(node_2,()=>$$props.children??noop$3),reset(svg2),append($$anchor,svg2),pop()}function Arrow_big_up($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",
+{d:"M9 18v-6H5l7-7 7 7h-4v6H9z"}]];Icon($$anchor,spread_props({name:"arrow-big-up"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Arrow_right($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M5 12h14"}],["path",{d:"m12\
+ 5 7 7-7 7"}]];Icon($$anchor,spread_props({name:"arrow-right"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Arrow_up($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m5 12 7-7 7 7"}],["path",{d:"M12 19V5"}]];Icon($$anchor,
+spread_props({name:"arrow-up"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Book_open_text($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 7v14"}],["path",{d:"M16 12h2"}],["path",{d:"M16 8h2"}],["path",{d:"M3 18a\
+1 1 0 0 1-1-1V4a1 1 0 0 1 1-1h5a4 4 0 0 1 4 4 4 4 0 0 1 4-4h5a1 1 0 0 1 1 1v13a1 1 0 0 1-1 1h-6a3 3 0 0 0-3 3 3 3 0 0 0-3-3z"}],["path",{d:"M6 12h2"}],["path",{d:"M6 8h2"}]];Icon($$anchor,spread_props({name:"book-open-text"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Braces($$anchor,$$props){push$1(
+$$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M8 3H7a2 2 0 0 0-2 2v5a2 2 0 0 1-2 2 2 2 0 0 1 2 2v5c0 1.1.9 2 2 2h1"}],["path",{d:"M16 21h1a2 2 0 0 0 2-2v-5c0-1.1.9-2 2-2a2 2 0 0 1-2-2V5a2 2 0 0 0-2-2h-1"}]];Icon($$anchor,spread_props({name:"braces"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,
+fragment_1)},$$slots:{default:!0}})),pop()}function Brain($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z"}],["path",{d:"M12 5a3 3 0 1 1 5.997.125 4 4 0 0 1 2.526 5.77 4 4 0 0 1-.556 6.588A4 4 0 1 1 12 18Z"}],["path",{d:"M15 13a4.5 4.5 0 0 1-3-4 4.5 4.5 0 0 1-3 4"}],["path",{d:"M17.599 6.5a3 3 0 0 0 .399-1.375"}],["path",{d:"M6.003 \
+5.125A3 3 0 0 0 6.401 6.5"}],["path",{d:"M3.477 10.896a4 4 0 0 1 .585-.396"}],["path",{d:"M19.938 10.5a4 4 0 0 1 .585.396"}],["path",{d:"M6 18a4 4 0 0 1-1.967-.516"}],["path",{d:"M19.967 17.484A4 4 0 0 1 18 18"}]];Icon($$anchor,spread_props({name:"brain"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Cable($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M17 21v-2a1 1 0 0 1-1-1v-1a2 2 0 0 1 2-2h2a2 2 0 0 1 2 2v1a1 1 0 0 1-1 1"}],["path",{d:"M19 15V6.5a1 1 0 0 0-7 0v11a1 1 0 0 1-7 0V9"}],["path",{d:"M21 21v-2h-4"}],["path",{d:"M3 5h4V3"}],["path",{d:"M7 5a1 1 0 0 1 1 1v1a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V6a1 1 0 0 1 1-1V3"}]];Icon($$anchor,spread_props({name:"cable"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{
+var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Check($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M20 6 9 17l-5-5"}]];Icon($$anchor,spread_props({name:"check"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);
+snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Chevron_down($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m6 9 6 6 6-6"}]];Icon($$anchor,spread_props({name:"chevron-down"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),
+append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Chevron_left($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m15 18-6-6 6-6"}]];Icon($$anchor,spread_props({name:"chevron-left"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),
+pop()}function Chevron_up($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m18 15-6-6-6 6"}]];Icon($$anchor,spread_props({name:"chevron-up"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Chevron_right($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m9 18 6-6-6-6"}]];Icon($$anchor,spread_props({name:"chevron-right"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Chevrons_up_down($$anchor,$$props){push$1($$props,!0);let props=rest_props(
+$$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m7 15 5 5 5-5"}],["path",{d:"m7 9 5-5 5 5"}]];Icon($$anchor,spread_props({name:"chevrons-up-down"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Circle_alert($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$\
+$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["line",{x1:"12",x2:"12",y1:"8",y2:"12"}],["line",{x1:"12",x2:"12.01",y1:"16",y2:"16"}]];Icon($$anchor,spread_props({name:"circle-alert"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Circle_check_big($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M21.801 10A10 10 0 1 1 17 3.335"}],["path",{d:"m9 11 3 3L22 4"}]];Icon($$anchor,spread_props({name:"circle-check-big"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Circle_x($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["path",{d:"m15 9-6 6"}],["path",{d:"m9 9 6 6"}]];Icon($$anchor,spread_props({name:"circle-x"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Clock($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["polyline",{points:"12 6 12 12 16 14"}]];Icon($$anchor,spread_props({name:"clock"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Code($$anchor,$$props){push$1($$props,
+!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m16 18 6-6-6-6"}],["path",{d:"m8 6-6 6 6 6"}]];Icon($$anchor,spread_props({name:"code"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Copy($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,
+["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"14",height:"14",x:"8",y:"8",rx:"2",ry:"2"}],["path",{d:"M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2"}]];Icon($$anchor,spread_props({name:"copy"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Database($$anchor,$$props){push$1(
+$$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["ellipse",{cx:"12",cy:"5",rx:"9",ry:"3"}],["path",{d:"M3 5V19A9 3 0 0 0 21 19V5"}],["path",{d:"M3 12A9 3 0 0 0 21 12"}]];Icon($$anchor,spread_props({name:"database"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Download($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 15V3"}],["path",{d:"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"}],["path",{d:"m7 10 5 5 5-5"}]];Icon($$anchor,spread_props({name:"download"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Ellipsis($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"1"}],["circle",{cx:"19",cy:"12",r:"1"}],["circle",{cx:"5",cy:"12",r:"1"}]];Icon($$anchor,spread_props({name:"ellipsis"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function External_link($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 3h6v6"}],["path",{d:"M10 14 21 3"}],["path",{d:"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"}]];Icon($$anchor,spread_props({name:"external-link"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),
+pop()}function Eye($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M2.062 12.348a1 1 0 0 1 0-.696 10.75 10.75 0 0 1 19.876 0 1 1 0 0 1 0 .696 10.75 10.75 0 0 1-19.876 0"}],["circle",{cx:"12",cy:"12",r:"3"}]];Icon($$anchor,spread_props({name:"eye"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??
+noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File_text($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}],["path",{d:"M10 9H8"}],["path",{d:"M16 13H8"}],["path",{d:"M16 17H8"}]];Icon($$anchor,spread_props({name:"file-text"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{
+var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File_x($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}],["path",{d:"m14.5 12.5-5 5"}],["path",{d:"m9.5 12.5 5 5"}]];Icon($$anchor,spread_props({name:"\
+file-x"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File$1($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}]];Icon(
+$$anchor,spread_props({name:"file"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Flask_conical($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M14 2v6a2 2 0 0 0 .245.96l5.51 10.08A2 2 0 0 1 18 22H6a2 2 0 0 1-1.755-2.\
+96l5.51-10.08A2 2 0 0 0 10 8V2"}],["path",{d:"M6.453 15h11.094"}],["path",{d:"M8.5 2h7"}]];Icon($$anchor,spread_props({name:"flask-conical"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Folder_open($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);
+const iconNode=[["path",{d:"m6 14 1.5-2.9A2 2 0 0 1 9.24 10H20a2 2 0 0 1 1.94 2.5l-1.54 6a2 2 0 0 1-1.95 1.5H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H18a2 2 0 0 1 2 2v2"}]];Icon($$anchor,spread_props({name:"folder-open"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Funnel($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M10 20a1 1 0 0 0 .553.895l2 1A1 1 0 0 0 14 21v-7a2 2 0 0 1 .517-1.341L21.74 4.67A1 1 0 0 0 21 3H3a1 1 0 0 0-.742 1.67l7.225 7.989A2 2 0 0 1 10 14z"}]];Icon($$anchor,spread_props({name:"funnel"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,
+fragment_1)},$$slots:{default:!0}})),pop()}function Gauge($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m12 14 4-4"}],["path",{d:"M3.34 19a10 10 0 1 1 17.32 0"}]];Icon($$anchor,spread_props({name:"gauge"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{
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+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M3 12a9 9 0 0 1 9-9 9.75 9.75 0 0 1 6.74 2.74L21 8"}],["path",{d:"M21 3v5h-5"}],["path",{d:"M21 12a9 9 0 0 1-9 9 9.75 9.75 0 0 1-6.74-2.74L3 16"}],["path",{d:"M8 16H3v5"}]];Icon($$anchor,spread_props({name:"refresh-cw"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??
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+prefixLength:1024*10,suspiciousCharThresholdRatio:.15,maxAbsoluteNullBytes:2},DEFAULT_CACHE_TTL_MS=300*1e3,DEFAULT_CACHE_MAX_ENTRIES=100,MODEL_PROPS_CACHE_TTL_MS=600*1e3,MODEL_PROPS_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_TTL_MS=300*1e3,MAX_INACTIVE_CONVERSATION_STATES=10,INACTIVE_CONVERSATION_STATE_MAX_AGE_MS=1800*1e3,INITIAL_FILE_SIZE=0,PROMPT_CONTENT_SEPARATOR=`
+
+`,CLIPBOARD_CONTENT_QUOTE_PREFIX='"',PROMPT_TRIGGER_PREFIX="/",RESOURCE_TRIGGER_PREFIX="@",CODE_BLOCK_SCROLL_CONTAINER_CLASS="code-block-scroll-container",CODE_BLOCK_WRAPPER_CLASS="code-block-wrapper",CODE_BLOCK_HEADER_CLASS="code-block-header",CODE_BLOCK_ACTIONS_CLASS="code-block-actions",CODE_LANGUAGE_CLASS="code-language",COPY_CODE_BTN_CLASS="copy-code-btn",PREVIEW_CODE_BTN_CLASS="preview-code-btn",RELATIVE_CLASS="relative",NEWLINE=`
+`,DEFAULT_LANGUAGE="text",LANG_PATTERN=/^(\w*)\n?/,AMPERSAND_REGEX=/&/g,LT_REGEX=/</g,GT_REGEX=/>/g,FENCE_PATTERN=/^```|\n```/g,CONTEXT_KEY_MESSAGE_EDIT="chat-message-edit",CONTEXT_KEY_CHAT_ACTIONS="chat-actions",CONTEXT_KEY_CHAT_SETTINGS_DIALOG="chat-settings-dialog",BOX_BORDER="border border-border/30 focus-within:border-border  dark:border-border/20 dark:focus-within:border-border",INPUT_CLASSES=`
+    bg-muted/60 dark:bg-muted/75
+    ${BOX_BORDER}
+    shadow-sm
+    outline-none
+    text-foreground
+`,PANEL_CLASSES=`
+    bg-background
+    border border-border/30 dark:border-border/20
+    shadow-sm backdrop-blur-lg!
+    rounded-t-lg!
+`,CHAT_FORM_POPOVER_MAX_HEIGHT="max-h-80",GOOGLE_FAVICON_BASE_URL="https://www.google.com/s2/favicons",DEFAULT_FAVICON_SIZE=32,DOMAIN_SEPARATOR=".",ROOT_DOMAIN_MIN_PARTS=2,MS_PER_SECOND=1e3,SECONDS_PER_MINUTE=60,SECONDS_PER_HOUR=3600,SHORT_DURATION_THRESHOLD=1,MEDIUM_DURATION_THRESHOLD=10,DEFAULT_PERFORMANCE_TIME="0s",KEY_VALUE_PAIR_KEY_MAX_LENGTH=256,KEY_VALUE_PAIR_VALUE_MAX_LENGTH=8192,KEY_VALUE_PAIR_UNSAFE_KEY_RE=/[\x00-\x1F\x7F]/g,KEY_VALUE_PAIR_UNSAFE_VALUE_RE=/[\x00-\x08\x0A-\x0D\x0E-\x1F\x7F]/g,
+FILE_TYPE_ICONS={[FileTypeCategory.IMAGE]:Image$1,[FileTypeCategory.AUDIO]:Mic,[FileTypeCategory.TEXT]:File_text,[FileTypeCategory.PDF]:File$1},MODALITY_ICONS={[ModelModality.VISION]:Eye,[ModelModality.AUDIO]:Mic},MODALITY_LABELS={[ModelModality.VISION]:"Vision",[ModelModality.AUDIO]:"Audio"},CODE_BLOCK_REGEXP=/(```[\s\S]*?```|`[^`\n]+`)/g,LATEX_MATH_AND_CODE_PATTERN=new RegExp("(```[\\S\\s]*?```|`.*?`)|(?<!\\\\)\\\\\\[([\\S\\s]*?[^\\\\])\\\\]|(?<!\\\\)\\\\\\((.*?)\\\\\\)","g"),LATEX_LINEBREAK_REGEXP=/\$\$([\s\S]*?\\\\[\s\S]*?)\$\$/,
+LINE_BREAK=/\r?\n/,PHRASE_PARENTS=new Set(["paragraph","heading","emphasis","strong","delete","link","linkReference","tableCell"]),NBSP=" ",TAB_AS_SPACES=NBSP.repeat(4),CONFIG_LOCALSTORAGE_KEY="LlamaCppWebui.config",USER_OVERRIDES_LOCALSTORAGE_KEY="LlamaCppWebui.userOverrides",FAVORITE_MODELS_LOCALSTORAGE_KEY="LlamaCppWebui.favoriteModels",MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY="LlamaCppWebui.mcpDefaultEnabled",IMAGE_NOT_ERROR_BOUND_SELECTOR="img:not([data-error-bound])",DATA_ERROR_BOUND_ATTR="er\
+rorBound",DATA_ERROR_HANDLED_ATTR="errorHandled",BOOL_TRUE_STRING="true",DEFAULT_CLIENT_VERSION="1.0.0",DEFAULT_IMAGE_MIME_TYPE=MimeTypeImage.PNG,MCP_ALLOWED_ICON_MIME_TYPES=new Set([MimeTypeImage.PNG,MimeTypeImage.JPEG,MimeTypeImage.JPG,MimeTypeImage.SVG,MimeTypeImage.WEBP]),MCP_PROTOCOL_VERSION="2025-06-18",DEFAULT_MCP_CONFIG={protocolVersion:MCP_PROTOCOL_VERSION,capabilities:{tools:{listChanged:!0}},clientInfo:{name:"llama-webui-mcp",version:DEFAULT_CLIENT_VERSION},requestTimeoutSeconds:300,connectionTimeoutMs:1e4},
+MCP_SERVER_ID_PREFIX="LlamaCpp-WebUI-MCP-Server",MCP_RECONNECT_INITIAL_DELAY=1e3,MCP_RECONNECT_BACKOFF_MULTIPLIER=2,MCP_RECONNECT_MAX_DELAY=3e4,MCP_RECONNECT_ATTEMPT_TIMEOUT_MS=15e3,MAX_DISPLAYED_MCP_AVATARS=3,EXPECTED_THEMED_ICON_PAIR_COUNT=2,CORS_PROXY_URL_PARAM="url",MCP_SESSION_ID_VISIBLE_CHARS=5,MCP_PARTIAL_REDACT_HEADERS=new Map([["mcp-session-id",MCP_SESSION_ID_VISIBLE_CHARS]]),REDACTED_HEADERS=new Set(["authorization","api-key","cookie","mcp-session-id","proxy-authorization","set-cookie",
+"x-auth-token","x-api-key"]),MCP_TRANSPORT_LABELS={[MCPTransportType.WEBSOCKET]:"WebSocket",[MCPTransportType.STREAMABLE_HTTP]:"HTTP",[MCPTransportType.SSE]:"SSE"},MCP_TRANSPORT_ICONS={[MCPTransportType.WEBSOCKET]:Zap,[MCPTransportType.STREAMABLE_HTTP]:Globe,[MCPTransportType.SSE]:Radio},MCP_SERVER_URL_PLACEHOLDER="https://mcp.example.com/sse",MIN_AUTOCOMPLETE_INPUT_LENGTH=1,IMAGE_FILE_EXTENSION_REGEX=/\.(png|jpg|jpeg|gif|svg|webp)$/i,CODE_FILE_EXTENSION_REGEX=/\.(js|ts|json|yaml|yml|xml|html|css|py|rs|go|java|cpp|c|h|rb|sh|toml)$/i,
+TEXT_FILE_EXTENSION_REGEX=/\.(txt|md|log)$/i,PROTOCOL_PREFIX_REGEX=/^[a-z]+:\/\//,FILE_EXTENSION_REGEX=/\.[^.]+$/,DISPLAY_NAME_SEPARATOR_REGEX=/[-_]/,DATA_URI_BASE64_REGEX=/^data:([^;]+);base64,([A-Za-z0-9+/]+=*)$/,MCP_ATTACHMENT_NAME_PREFIX="mcp-attachment",MCP_RESOURCE_ATTACHMENT_ID_PREFIX="res",DEFAULT_IMAGE_EXTENSION="img",DEFAULT_RESOURCE_FILENAME="resource.txt",PATH_SEPARATOR="/",RESOURCE_TEXT_CONTENT_SEPARATOR=`
+
+`,RESOURCE_UNKNOWN_TYPE="unknown type",BINARY_CONTENT_LABEL="Binary content",IMAGE_MIME_TO_EXTENSION={[MimeTypeImage.JPEG]:"jpg",[MimeTypeImage.JPG]:"jpg",[MimeTypeImage.PNG]:"png",[MimeTypeImage.GIF]:"gif",[MimeTypeImage.WEBP]:"webp"},EXPORT_CONV_ID_TRIM_LENGTH=8,EXPORT_CONV_NAME_SUFFIX_MAX_LENGTH=20,ISO_TIMESTAMP_SLICE_LENGTH=19,NON_ALPHANUMERIC_REGEX=/[^a-z0-9]/gi,EXPORT_CONV_NONALNUM_REPLACEMENT="_",MULTIPLE_UNDERSCORE_REGEX=/_+/g,ISO_DATE_TIME_SEPARATOR="T",ISO_DATE_TIME_SEPARATOR_REPLACEMENT="\
+_",ISO_TIME_SEPARATOR=":",ISO_TIME_SEPARATOR_REPLACEMENT="-",MODEL_ID_NOT_FOUND=-1,MODEL_ID_ORG_SEPARATOR="/",MODEL_ID_SEGMENT_SEPARATOR="-",MODEL_ID_QUANTIZATION_SEPARATOR=":",MODEL_QUANTIZATION_SEGMENT_RE=/^(I?Q\d+(_[A-Z0-9]+)*|F\d+|BF\d+|MXFP\d+(_[A-Z0-9]+)*)$/i,MODEL_CUSTOM_QUANTIZATION_PREFIX_RE=/^UD$/i,MODEL_PARAMS_RE=/^\d+(\.\d+)?[BbMmKkTt]$/,MODEL_ACTIVATED_PARAMS_RE=/^[Aa]\d+(\.\d+)?[BbMmKkTt]$/,MODEL_IGNORED_SEGMENTS=new Set(["GGUF","GGML"]),PRECISION_MULTIPLIER=1e6,PROCESSING_INFO_TIMEOUT=2e3,
+STATS_UNITS={TOKENS_PER_SECOND:"t/s"},SETTING_CONFIG_DEFAULT={apiKey:"",systemMessage:"",showSystemMessage:!0,theme:ColorMode.SYSTEM,showThoughtInProgress:!1,disableReasoningParsing:!1,excludeReasoningFromContext:!1,showRawOutputSwitch:!1,keepStatsVisible:!1,showMessageStats:!0,askForTitleConfirmation:!1,titleGenerationUseFirstLine:!1,pasteLongTextToFileLen:2500,copyTextAttachmentsAsPlainText:!1,pdfAsImage:!1,disableAutoScroll:!1,renderUserContentAsMarkdown:!1,alwaysShowSidebarOnDesktop:!1,autoShowSidebarOnNewChat:!0,
+sendOnEnter:!0,autoMicOnEmpty:!1,fullHeightCodeBlocks:!1,showRawModelNames:!1,mcpServers:"[]",mcpServerUsageStats:"{}",agenticMaxTurns:10,agenticMaxToolPreviewLines:25,showToolCallInProgress:!1,alwaysShowAgenticTurns:!1,samplers:"",backend_sampling:!1,temperature:void 0,dynatemp_range:void 0,dynatemp_exponent:void 0,top_k:void 0,top_p:void 0,min_p:void 0,xtc_probability:void 0,xtc_threshold:void 0,typ_p:void 0,repeat_last_n:void 0,repeat_penalty:void 0,presence_penalty:void 0,frequency_penalty:void 0,
+dry_multiplier:void 0,dry_base:void 0,dry_allowed_length:void 0,dry_penalty_last_n:void 0,max_tokens:void 0,custom:"",preEncodeConversation:!1,pyInterpreterEnabled:!1,enableContinueGeneration:!1},SETTING_CONFIG_INFO={apiKey:"Set the API Key if you are using <code>--api-key</code> option for the server.",systemMessage:"The starting message that defines how model should behave.",showSystemMessage:"Display the system message at the top of each conversation.",theme:"Choose the color theme for the in\
+terface. You can choose between System (follows your device settings), Light, or Dark.",pasteLongTextToFileLen:"On pasting long text, it will be converted to a file. You can control the file length by setting the value of this parameter. Value 0 means disable.",copyTextAttachmentsAsPlainText:"When copying a message with text attachments, combine them into a single plain text string instead of a special format that can be pasted back as attachments.",samplers:'The order at which samplers are appl\
+ied, in simplified way. Default is "top_k;typ_p;top_p;min_p;temperature": top_k->typ_p->top_p->min_p->temperature',backend_sampling:"Enable backend-based samplers. When enabled, supported samplers run on the accelerator backend for faster sampling.",temperature:"Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.",dynatemp_range:"Addon for the temperature sampler. The added value to the range of\
+ dynamic temperature, which adjusts probabilities by entropy of tokens.",dynatemp_exponent:"Addon for the temperature sampler. Smoothes out the probability redistribution based on the most probable token.",top_k:"Keeps only k top tokens.",top_p:"Limits tokens to those that together have a cumulative probability of at least p",min_p:"Limits tokens based on the minimum probability for a token to be considered, relative to the probability of the most likely token.",xtc_probability:"XTC sampler cuts\
+ out top tokens; this parameter controls the chance of cutting tokens at all. 0 disables XTC.",xtc_threshold:"XTC sampler cuts out top tokens; this parameter controls the token probability that is required to cut that token.",typ_p:"Sorts and limits tokens based on the difference between log-probability and entropy.",repeat_last_n:"Last n tokens to consider for penalizing repetition",repeat_penalty:"Controls the repetition of token sequences in the generated text",presence_penalty:"Limits tokens\
+ based on whether they appear in the output or not.",frequency_penalty:"Limits tokens based on how often they appear in the output.",dry_multiplier:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling multiplier.",dry_base:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling base value.",dry_allowed_length:"DRY sampling reduces repetition in generated text even across long \
+contexts. This parameter sets the allowed length for DRY sampling.",dry_penalty_last_n:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets DRY penalty for the last n tokens.",max_tokens:"The maximum number of token per output. Use -1 for infinite (no limit).",custom:"Custom JSON parameters to send to the API. Must be valid JSON format.",showThoughtInProgress:"Expand thought process by default when generating messages.",disableReasoningParsing:"Send r\
+easoning_format=none so the server returns thinking tokens inline instead of extracting them into a separate field.",excludeReasoningFromContext:"Strip thinking from previous messages before sending. When off, thinking is sent back via the reasoning_content field so the model sees its own chain-of-thought across turns.",showRawOutputSwitch:"Show toggle button to display messages as plain text instead of Markdown-formatted content",keepStatsVisible:"Keep processing statistics visible after genera\
+tion finishes.",showMessageStats:"Display generation statistics (tokens/second, token count, duration) below each assistant message.",askForTitleConfirmation:"Ask for confirmation before automatically changing conversation title when editing the first message.",titleGenerationUseFirstLine:"Use only the first non-empty line of the prompt to generate the conversation title.",pdfAsImage:"Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.",disableAutoScroll:"\
+Disable automatic scrolling while messages stream so you can control the viewport position manually.",renderUserContentAsMarkdown:"Render user messages using markdown formatting in the chat.",alwaysShowSidebarOnDesktop:"Always keep the sidebar visible on desktop instead of auto-hiding it.",autoShowSidebarOnNewChat:"Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.",sendOnEnter:"Use Enter to send messages and Shift + Enter for new lines\
+. When disabled, use Ctrl/Cmd + Enter.",autoMicOnEmpty:"Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.",fullHeightCodeBlocks:"Always display code blocks at their full natural height, overriding any height limits.",showRawModelNames:'Display full raw model identifiers (e.g. "ggml-org/GLM-4.7-Flash-GGUF:Q8_0") instead of parsed names with badges.',mcpServers:"Configure MCP servers as a JSON list. Use the form in the MCP Cl\
+ient settings section to edit.",mcpServerUsageStats:"Usage statistics for MCP servers. Tracks how many times tools from each server have been used.",agenticMaxTurns:"Maximum number of tool execution cycles before stopping (prevents infinite loops).",agenticMaxToolPreviewLines:"Number of lines shown in tool output previews (last N lines). Only these previews and the final LLM response persist after the agentic loop completes.",showToolCallInProgress:"Automatically expand tool call details while e\
+xecuting and keep them expanded after completion.",pyInterpreterEnabled:"Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.",preEncodeConversation:"After each response, re-submit the conversation to pre-fill the server KV cache. Makes the next turn faster since the prompt is already encoded while you read the response.",enableContinueGeneration:'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'},SETTINGS_COLOR_MODES_CONFIG=[
+{value:ColorMode.SYSTEM,label:"System",icon:Monitor},{value:ColorMode.LIGHT,label:"Light",icon:Sun},{value:ColorMode.DARK,label:"Dark",icon:Moon}],NUMERIC_FIELDS=["temperature","top_k","top_p","min_p","max_tokens","pasteLongTextToFileLen","dynatemp_range","dynatemp_exponent","typ_p","xtc_probability","xtc_threshold","repeat_last_n","repeat_penalty","presence_penalty","frequency_penalty","dry_multiplier","dry_base","dry_allowed_length","dry_penalty_last_n","agenticMaxTurns","agenticMaxToolPreview\
+Lines"],POSITIVE_INTEGER_FIELDS=["agenticMaxTurns","agenticMaxToolPreviewLines"],SETTINGS_KEYS={THEME:"theme",API_KEY:"apiKey",SYSTEM_MESSAGE:"systemMessage",PASTE_LONG_TEXT_TO_FILE_LEN:"pasteLongTextToFileLen",COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT:"copyTextAttachmentsAsPlainText",SEND_ON_ENTER:"sendOnEnter",ENABLE_CONTINUE_GENERATION:"enableContinueGeneration",PDF_AS_IMAGE:"pdfAsImage",ASK_FOR_TITLE_CONFIRMATION:"askForTitleConfirmation",TITLE_GENERATION_USE_FIRST_LINE:"titleGenerationUseFirstLin\
+e",SHOW_MESSAGE_STATS:"showMessageStats",SHOW_THOUGHT_IN_PROGRESS:"showThoughtInProgress",KEEP_STATS_VISIBLE:"keepStatsVisible",AUTO_MIC_ON_EMPTY:"autoMicOnEmpty",RENDER_USER_CONTENT_AS_MARKDOWN:"renderUserContentAsMarkdown",DISABLE_AUTO_SCROLL:"disableAutoScroll",ALWAYS_SHOW_SIDEBAR_ON_DESKTOP:"alwaysShowSidebarOnDesktop",AUTO_SHOW_SIDEBAR_ON_NEW_CHAT:"autoShowSidebarOnNewChat",FULL_HEIGHT_CODE_BLOCKS:"fullHeightCodeBlocks",SHOW_RAW_MODEL_NAMES:"showRawModelNames",TEMPERATURE:"temperature",DYNATEMP_RANGE:"\
+dynatemp_range",DYNATEMP_EXPONENT:"dynatemp_exponent",TOP_K:"top_k",TOP_P:"top_p",MIN_P:"min_p",XTC_PROBABILITY:"xtc_probability",XTC_THRESHOLD:"xtc_threshold",TYP_P:"typ_p",MAX_TOKENS:"max_tokens",SAMPLERS:"samplers",BACKEND_SAMPLING:"backend_sampling",REPEAT_LAST_N:"repeat_last_n",REPEAT_PENALTY:"repeat_penalty",PRESENCE_PENALTY:"presence_penalty",FREQUENCY_PENALTY:"frequency_penalty",DRY_MULTIPLIER:"dry_multiplier",DRY_BASE:"dry_base",DRY_ALLOWED_LENGTH:"dry_allowed_length",DRY_PENALTY_LAST_N:"\
+dry_penalty_last_n",AGENTIC_MAX_TURNS:"agenticMaxTurns",ALWAYS_SHOW_AGENTIC_TURNS:"alwaysShowAgenticTurns",AGENTIC_MAX_TOOL_PREVIEW_LINES:"agenticMaxToolPreviewLines",SHOW_TOOL_CALL_IN_PROGRESS:"showToolCallInProgress",PRE_ENCODE_CONVERSATION:"preEncodeConversation",DISABLE_REASONING_PARSING:"disableReasoningParsing",EXCLUDE_REASONING_FROM_CONTEXT:"excludeReasoningFromContext",SHOW_RAW_OUTPUT_SWITCH:"showRawOutputSwitch",CUSTOM:"custom"},SETTINGS_SECTION_TITLES={GENERAL:"General",DISPLAY:"Displa\
+y",SAMPLING:"Sampling",PENALTIES:"Penalties",IMPORT_EXPORT:"Import/Export",MCP:"MCP",DEVELOPER:"Developer"};FileTypeAudio.MP3+"",FileExtensionAudio.MP3,MimeTypeAudio.MP3_MPEG,MimeTypeAudio.MP3,FileTypeAudio.WAV+"",FileExtensionAudio.WAV,MimeTypeAudio.WAV;FileTypeImage.JPEG+"",FileExtensionImage.JPG,FileExtensionImage.JPEG,MimeTypeImage.JPEG,FileTypeImage.PNG+"",FileExtensionImage.PNG,MimeTypeImage.PNG,FileTypeImage.GIF+"",FileExtensionImage.GIF,MimeTypeImage.GIF,FileTypeImage.WEBP+"",FileExtensionImage.
+WEBP,MimeTypeImage.WEBP,FileTypeImage.SVG+"",FileExtensionImage.SVG,MimeTypeImage.SVG;FileTypePdf.PDF+"",FileExtensionPdf.PDF,MimeTypeApplication.PDF;FileTypeText.PLAIN_TEXT+"",FileExtensionText.TXT,MimeTypeText.PLAIN,FileTypeText.MARKDOWN+"",FileExtensionText.MD,MimeTypeText.MARKDOWN,FileTypeText.ASCIIDOC+"",FileExtensionText.ADOC,MimeTypeText.ASCIIDOC,FileTypeText.JAVASCRIPT+"",FileExtensionText.JS,MimeTypeText.JAVASCRIPT,MimeTypeText.JAVASCRIPT_APP,FileTypeText.TYPESCRIPT+"",FileExtensionText.
+TS,MimeTypeText.TYPESCRIPT,FileTypeText.JSX+"",FileExtensionText.JSX,MimeTypeText.JSX,FileTypeText.TSX+"",FileExtensionText.TSX,MimeTypeText.TSX,FileTypeText.CSS+"",FileExtensionText.CSS,MimeTypeText.CSS,FileTypeText.HTML+"",FileExtensionText.HTML,FileExtensionText.HTM,MimeTypeText.HTML,FileTypeText.JSON+"",FileExtensionText.JSON,MimeTypeText.JSON,FileTypeText.XML+"",FileExtensionText.XML,MimeTypeText.XML_TEXT,MimeTypeText.XML_APP,FileTypeText.YAML+"",FileExtensionText.YAML,FileExtensionText.YML,
+MimeTypeText.YAML_TEXT,MimeTypeText.YAML_APP,FileTypeText.CSV+"",FileExtensionText.CSV,MimeTypeText.CSV,FileTypeText.LOG+"",FileExtensionText.LOG,MimeTypeText.PLAIN,FileTypeText.PYTHON+"",FileExtensionText.PY,MimeTypeText.PYTHON,FileTypeText.JAVA+"",FileExtensionText.JAVA,MimeTypeText.JAVA,FileTypeText.CPP+"",FileExtensionText.CPP,FileExtensionText.C,FileExtensionText.H,FileExtensionText.HPP,MimeTypeText.CPP_SRC,MimeTypeText.CPP_HDR,MimeTypeText.C_SRC,MimeTypeText.C_HDR,FileTypeText.PHP+"",FileExtensionText.
+PHP,MimeTypeText.PHP,FileTypeText.RUBY+"",FileExtensionText.RB,MimeTypeText.RUBY,FileTypeText.GO+"",FileExtensionText.GO,MimeTypeText.GO,FileTypeText.RUST+"",FileExtensionText.RS,MimeTypeText.RUST,FileTypeText.SHELL+"",FileExtensionText.SH,FileExtensionText.BAT,MimeTypeText.SHELL,MimeTypeText.BAT,FileTypeText.SQL+"",FileExtensionText.SQL,MimeTypeText.SQL,FileTypeText.R+"",FileExtensionText.R,MimeTypeText.R,FileTypeText.SCALA+"",FileExtensionText.SCALA,MimeTypeText.SCALA,FileTypeText.KOTLIN+"",FileExtensionText.
+KT,MimeTypeText.KOTLIN,FileTypeText.SWIFT+"",FileExtensionText.SWIFT,MimeTypeText.SWIFT,FileTypeText.DART+"",FileExtensionText.DART,MimeTypeText.DART,FileTypeText.VUE+"",FileExtensionText.VUE,MimeTypeText.VUE,FileTypeText.SVELTE+"",FileExtensionText.SVELTE,MimeTypeText.SVELTE,FileTypeText.LATEX+"",FileExtensionText.TEX,MimeTypeText.LATEX,MimeTypeText.TEX,MimeTypeText.TEX_APP,FileTypeText.BIBTEX+"",FileExtensionText.BIB,MimeTypeText.BIBTEX,FileTypeText.CUDA+"",FileExtensionText.CU,FileExtensionText.
+CUH,MimeTypeText.CUDA,FileTypeText.VULKAN+"",FileExtensionText.COMP,MimeTypeText.PLAIN,FileTypeText.HASKELL+"",FileExtensionText.HS,MimeTypeText.HASKELL,FileTypeText.CSHARP+"",FileExtensionText.CS,MimeTypeText.CSHARP,FileTypeText.PROPERTIES+"",FileExtensionText.PROPERTIES,MimeTypeText.PROPERTIES;const BR_PATTERN=/<br\s*\/?\s*>/gi,LIST_PATTERN=/^<ul>([\s\S]*)<\/ul>$/i,LI_PATTERN=/<li>([\s\S]*?)<\/li>/gi,TOOLTIP_DELAY_DURATION=500,FORK_TREE_DEPTH_PADDING=8,SYSTEM_MESSAGE_PLACEHOLDER="System messag\
+e",URI_SCHEME_SEPARATOR="://",TEMPLATE_EXPRESSION_REGEX=/\{([+#./;?&]?)([^}]+)\}/g,URI_TEMPLATE_OPERATORS={RESERVED:"+",FRAGMENT:"#",PATH_SEGMENT:"/",LABEL:".",PATH_PARAM:";",FORM_QUERY:"?",FORM_CONTINUATION:"&"},URI_TEMPLATE_SEPARATORS={COMMA:",",SLASH:"/",PERIOD:".",SEMICOLON:";",QUERY_PREFIX:"?",QUERY_CONTINUATION:"&"},VARIABLE_EXPLODE_MODIFIER_REGEX=/[*]$/,VARIABLE_PREFIX_MODIFIER_REGEX=/:[\d]+$/,LEADING_SLASHES_REGEX=/^\/+/,DEFAULT_MOBILE_BREAKPOINT=768;class IsMobile extends MediaQuery{constructor(breakpoint=DEFAULT_MOBILE_BREAKPOINT){
+super(`max-width: ${breakpoint-1}px`)}}const SYNCABLE_PARAMETERS=[{key:"temperature",serverKey:"temperature",type:SyncableParameterType.NUMBER,canSync:!0},{key:"top_k",serverKey:"top_k",type:SyncableParameterType.NUMBER,canSync:!0},{key:"top_p",serverKey:"top_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"min_p",serverKey:"min_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dynatemp_range",serverKey:"dynatemp_range",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dynatemp_expo\
+nent",serverKey:"dynatemp_exponent",type:SyncableParameterType.NUMBER,canSync:!0},{key:"xtc_probability",serverKey:"xtc_probability",type:SyncableParameterType.NUMBER,canSync:!0},{key:"xtc_threshold",serverKey:"xtc_threshold",type:SyncableParameterType.NUMBER,canSync:!0},{key:"typ_p",serverKey:"typ_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"repeat_last_n",serverKey:"repeat_last_n",type:SyncableParameterType.NUMBER,canSync:!0},{key:"repeat_penalty",serverKey:"repeat_penalty",type:SyncableParameterType.
+NUMBER,canSync:!0},{key:"presence_penalty",serverKey:"presence_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"frequency_penalty",serverKey:"frequency_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_multiplier",serverKey:"dry_multiplier",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_base",serverKey:"dry_base",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_allowed_length",serverKey:"dry_allowed_length",type:SyncableParameterType.NUMBER,canSync:!0},
+{key:"dry_penalty_last_n",serverKey:"dry_penalty_last_n",type:SyncableParameterType.NUMBER,canSync:!0},{key:"max_tokens",serverKey:"max_tokens",type:SyncableParameterType.NUMBER,canSync:!0},{key:"samplers",serverKey:"samplers",type:SyncableParameterType.STRING,canSync:!0},{key:"backend_sampling",serverKey:"backend_sampling",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"pasteLongTextToFileLen",serverKey:"pasteLongTextToFileLen",type:SyncableParameterType.NUMBER,canSync:!0},{key:"pdfAsImage",
+serverKey:"pdfAsImage",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showThoughtInProgress",serverKey:"showThoughtInProgress",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"keepStatsVisible",serverKey:"keepStatsVisible",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showMessageStats",serverKey:"showMessageStats",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"askForTitleConfirmation",serverKey:"askForTitleConfirmation",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"\
+titleGenerationUseFirstLine",serverKey:"titleGenerationUseFirstLine",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"disableAutoScroll",serverKey:"disableAutoScroll",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"renderUserContentAsMarkdown",serverKey:"renderUserContentAsMarkdown",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"autoMicOnEmpty",serverKey:"autoMicOnEmpty",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"pyInterpreterEnabled",serverKey:"pyInterpreterEnabled",type:SyncableParameterType.
+BOOLEAN,canSync:!0},{key:"enableContinueGeneration",serverKey:"enableContinueGeneration",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"fullHeightCodeBlocks",serverKey:"fullHeightCodeBlocks",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"systemMessage",serverKey:"systemMessage",type:SyncableParameterType.STRING,canSync:!0},{key:"showSystemMessage",serverKey:"showSystemMessage",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"theme",serverKey:"theme",type:SyncableParameterType.STRING,
+canSync:!0},{key:"copyTextAttachmentsAsPlainText",serverKey:"copyTextAttachmentsAsPlainText",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showRawOutputSwitch",serverKey:"showRawOutputSwitch",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"alwaysShowSidebarOnDesktop",serverKey:"alwaysShowSidebarOnDesktop",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"autoShowSidebarOnNewChat",serverKey:"autoShowSidebarOnNewChat",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showRawModel\
+Names",serverKey:"showRawModelNames",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"mcpServers",serverKey:"mcpServers",type:SyncableParameterType.STRING,canSync:!0},{key:"agenticMaxTurns",serverKey:"agenticMaxTurns",type:SyncableParameterType.NUMBER,canSync:!0},{key:"agenticMaxToolPreviewLines",serverKey:"agenticMaxToolPreviewLines",type:SyncableParameterType.NUMBER,canSync:!0},{key:"showToolCallInProgress",serverKey:"showToolCallInProgress",type:SyncableParameterType.BOOLEAN,canSync:!0},{
+key:"alwaysShowAgenticTurns",serverKey:"alwaysShowAgenticTurns",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"excludeReasoningFromContext",serverKey:"excludeReasoningFromContext",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"sendOnEnter",serverKey:"sendOnEnter",type:SyncableParameterType.BOOLEAN,canSync:!0}];class ParameterSyncService{static roundFloatingPoint(value){return normalizeFloatingPoint(value)}static extractServerDefaults(serverParams,webuiSettings){const extracted={};if(serverParams){
+for(const param of SYNCABLE_PARAMETERS)if(param.canSync&&param.serverKey in serverParams){const value=serverParams[param.serverKey];value!==void 0&&(extracted[param.key]=this.roundFloatingPoint(value))}serverParams.samplers&&Array.isArray(serverParams.samplers)&&(extracted.samplers=serverParams.samplers.join(";"))}if(webuiSettings){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&&param.serverKey in webuiSettings){const value=webuiSettings[param.serverKey];value!==void 0&&(extracted[param.
+key]=this.roundFloatingPoint(value))}}return extracted}static mergeWithServerDefaults(currentSettings,serverDefaults,userOverrides=new Set){const merged={...currentSettings};for(const[key2,serverValue]of Object.entries(serverDefaults))userOverrides.has(key2)||(merged[key2]=this.roundFloatingPoint(serverValue));return merged}static getParameterInfo(key2,currentValue,propsDefaults,userOverrides){const hasPropsDefault=propsDefaults[key2]!==void 0,isUserOverride=userOverrides.has(key2),source2=isUserOverride?
+ParameterSource.CUSTOM:ParameterSource.DEFAULT;return{value:currentValue,source:source2,serverDefault:hasPropsDefault?propsDefaults[key2]:void 0,userOverride:isUserOverride?currentValue:void 0}}static canSyncParameter(key2){return SYNCABLE_PARAMETERS.some(param=>param.key===key2&&param.canSync)}static getSyncableParameterKeys(){return SYNCABLE_PARAMETERS.filter(param=>param.canSync).map(param=>param.key)}static validateServerParameter(key2,value){const param=SYNCABLE_PARAMETERS.find(p2=>p2.key===
+key2);if(!param)return!1;switch(param.type){case SyncableParameterType.NUMBER:return typeof value=="number"&&!isNaN(value);case SyncableParameterType.STRING:return typeof value=="string";case SyncableParameterType.BOOLEAN:return typeof value=="boolean";default:return!1}}static createParameterDiff(currentSettings,serverDefaults){const diff2={};for(const key2 of this.getSyncableParameterKeys()){const currentValue=currentSettings[key2],serverValue=serverDefaults[key2];serverValue!==void 0&&(diff2[key2]=
+{current:currentValue,server:serverValue,differs:currentValue!==serverValue})}return diff2}}class PropsService{static async fetch(autoload=!1){const params={};return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}static async fetchForModel(modelId,autoload=!1){const params={model:modelId};return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}}class ServerStore{#props=state$1(null);get props(){return get$4(this.#props)}set props(value){
+set$1(this.#props,value,!0)}#loading=state$1(!1);get loading(){return get$4(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#error=state$1(null);get error(){return get$4(this.#error)}set error(value){set$1(this.#error,value,!0)}#role=state$1(null);get role(){return get$4(this.#role)}set role(value){set$1(this.#role,value,!0)}fetchPromise=null;get defaultParams(){return this.props?.default_generation_settings?.params||null}get contextSize(){const nCtx=this.props?.default_generation_settings?.
+n_ctx;return typeof nCtx=="number"?nCtx:null}get webuiSettings(){return this.props?.webui_settings}get isRouterMode(){return this.role===ServerRole.ROUTER}get isModelMode(){return this.role===ServerRole.MODEL}async fetch(){if(this.fetchPromise)return this.fetchPromise;this.loading=!0,this.error=null;const fetchPromise=(async()=>{try{const props=await PropsService.fetch();this.props=props,this.error=null,this.detectRole(props)}catch(error2){this.error=this.getErrorMessage(error2),console.error("E\
+rror fetching server properties:",error2)}finally{this.loading=!1,this.fetchPromise=null}})();this.fetchPromise=fetchPromise,await fetchPromise}getErrorMessage(error2){if(error2 instanceof Error){const message=error2.message||"";if(error2.name==="TypeError"&&message.includes("fetch"))return"Server is not running or unreachable";if(message.includes("ECONNREFUSED"))return"Connection refused - server may be offline";if(message.includes("ENOTFOUND"))return"Server not found - check server address";if(message.
+includes("ETIMEDOUT"))return"Request timed out";if(message.includes("503"))return"Server temporarily unavailable";if(message.includes("500"))return"Server error - check server logs";if(message.includes("404"))return"Server endpoint not found";if(message.includes("403")||message.includes("401"))return"Access denied"}return"Failed to connect to server"}clear(){this.props=null,this.error=null,this.loading=!1,this.role=null,this.fetchPromise=null}detectRole(props){const newRole=props?.role===ServerRole.
+ROUTER?ServerRole.ROUTER:ServerRole.MODEL;this.role!==newRole&&(this.role=newRole,console.info(`Server running in ${newRole===ServerRole.ROUTER?"ROUTER":"MODEL"} mode`))}}const serverStore=new ServerStore,serverProps=()=>serverStore.props,serverLoading=()=>serverStore.loading,serverError=()=>serverStore.error,contextSize=()=>serverStore.contextSize,isRouterMode=()=>serverStore.isRouterMode;class SettingsStore{#config=state$1(proxy({...SETTING_CONFIG_DEFAULT}));get config(){return get$4(this.#config)}set config(value){
+set$1(this.#config,value,!0)}#theme=state$1("auto");get theme(){return get$4(this.#theme)}set theme(value){set$1(this.#theme,value,!0)}#isInitialized=state$1(!1);get isInitialized(){return get$4(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#userOverrides=state$1(proxy(new Set));get userOverrides(){return get$4(this.#userOverrides)}set userOverrides(value){set$1(this.#userOverrides,value,!0)}getServerDefaults(){const serverParams=serverStore.defaultParams,webuiSettings=serverStore.
+webuiSettings;return ParameterSyncService.extractServerDefaults(serverParams,webuiSettings)}constructor(){this.initialize()}initialize(){try{this.loadConfig(),this.loadTheme(),this.isInitialized=!0}catch(error2){console.error("Failed to initialize settings store:",error2)}}loadConfig(){try{const storedConfigRaw=localStorage.getItem(CONFIG_LOCALSTORAGE_KEY),savedVal=JSON.parse(storedConfigRaw||"{}");this.config={...SETTING_CONFIG_DEFAULT,...savedVal},"sendOnEnter"in savedVal||new IsMobile().current&&
+(this.config.sendOnEnter=!1);const savedOverrides=JSON.parse(localStorage.getItem(USER_OVERRIDES_LOCALSTORAGE_KEY)||"[]");this.userOverrides=new Set(savedOverrides)}catch(error2){console.warn("Failed to parse config from localStorage, using defaults:",error2),this.config={...SETTING_CONFIG_DEFAULT},this.userOverrides=new Set}}loadTheme(){this.theme=localStorage.getItem("theme")||"auto"}updateConfig(key2,value){if(this.config[key2]=value,ParameterSyncService.canSyncParameter(key2)){const propsDefault=this.
+getServerDefaults()[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(propsDefault);normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}updateMultipleConfig(updates){Object.assign(this.config,updates);const propsDefaults=this.getServerDefaults();for(const[key2,value]of Object.entries(updates))if(ParameterSyncService.canSyncParameter(key2)){const propsDefault=propsDefaults[key2];
+if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(propsDefault);normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}saveConfig(){try{localStorage.setItem(CONFIG_LOCALSTORAGE_KEY,JSON.stringify(this.config)),localStorage.setItem(USER_OVERRIDES_LOCALSTORAGE_KEY,JSON.stringify(Array.from(this.userOverrides)))}catch(error2){console.error("Failed to save config to local\
+Storage:",error2)}}updateTheme(newTheme){this.theme=newTheme,this.saveTheme()}saveTheme(){try{this.theme==="auto"?localStorage.removeItem("theme"):localStorage.setItem("theme",this.theme)}catch(error2){console.error("Failed to save theme to localStorage:",error2)}}resetConfig(){this.config={...SETTING_CONFIG_DEFAULT},this.saveConfig()}resetTheme(){this.theme="auto",this.saveTheme()}resetAll(){this.resetConfig(),this.resetTheme()}resetParameterToServerDefault(key2){const serverDefaults=this.getServerDefaults(),
+webuiSettings=serverStore.webuiSettings;webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):serverDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2),this.saveConfig()}syncWithServerDefaults(){const propsDefaults=this.getServerDefaults();if(Object.keys(propsDefaults).length===0)return;for(const[key2,propsValue]of Object.
+entries(propsDefaults)){const currentValue=getConfigValue(this.config,key2),normalizedCurrent=normalizeFloatingPoint(currentValue),normalizedDefault=normalizeFloatingPoint(propsValue);normalizedCurrent===normalizedDefault&&this.userOverrides.delete(key2)}const webuiSettings=serverStore.webuiSettings;if(webuiSettings)for(const[key2,value]of Object.entries(webuiSettings))!this.userOverrides.has(key2)&&value!==void 0&&setConfigValue(this.config,key2,value);this.saveConfig(),console.log("User overri\
+des after sync:",Array.from(this.userOverrides))}forceSyncWithServerDefaults(){const propsDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;for(const key2 of ParameterSyncService.getSyncableParameterKeys())webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):propsDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.
+delete(key2);this.saveConfig()}getConfig(key2){return this.config[key2]}getAllConfig(){return{...this.config}}canSyncParameter(key2){return ParameterSyncService.canSyncParameter(key2)}getParameterInfo(key2){const propsDefaults=this.getServerDefaults(),currentValue=getConfigValue(this.config,key2);return ParameterSyncService.getParameterInfo(key2,currentValue??"",propsDefaults,this.userOverrides)}getParameterDiff(){const serverDefaults=this.getServerDefaults();if(Object.keys(serverDefaults).length===
+0)return{};const configAsRecord=configToParameterRecord(this.config,ParameterSyncService.getSyncableParameterKeys());return ParameterSyncService.createParameterDiff(configAsRecord,serverDefaults)}clearAllUserOverrides(){this.userOverrides.clear(),this.saveConfig(),console.log("Cleared all user overrides")}}const settingsStore=new SettingsStore,config$1=()=>settingsStore.config;function redactValue(value,showLastChars){return showLastChars?`....${value.slice(-showLastChars)}`:"[redacted]"}function getAuthHeaders(){
+const apiKey=config$1().apiKey?.toString().trim();return apiKey?{Authorization:`Bearer ${apiKey}`}:{}}function getJsonHeaders(){return{"Content-Type":"application/json",...getAuthHeaders()}}function sanitizeHeaders(headers,extraRedactedHeaders,partialRedactHeaders){if(!headers)return{};const normalized=new Headers(headers),sanitized={},redactedHeaders=new Set(Array.from(extraRedactedHeaders??[],header=>header.toLowerCase()));for(const[key2,value]of normalized.entries()){const normalizedKey=key2.
+toLowerCase(),partialChars=partialRedactHeaders?.get(normalizedKey);partialChars!==void 0?sanitized[key2]=redactValue(value,partialChars):REDACTED_HEADERS.has(normalizedKey)||redactedHeaders.has(normalizedKey)?sanitized[key2]=redactValue(value):sanitized[key2]=value}return sanitized}async function apiFetch(path2,options={}){const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,headers={...authOnly?getAuthHeaders():getJsonHeaders(),...customHeaders},url2=path2.startsWith(UrlProtocol.HTTP)||
+path2.startsWith(UrlProtocol.HTTPS)?path2:`${base}${path2}`,response=await fetch(url2,{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiFetchWithParams(basePath,params,options={}){const url2=new URL(basePath,window.location.href);for(const[key2,value]of Object.entries(params))value!=null&&url2.searchParams.set(key2,value);const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,
+headers={...authOnly?getAuthHeaders():getJsonHeaders(),...customHeaders},response=await fetch(url2.toString(),{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiPost(path2,body2,options={}){return apiFetch(path2,{method:"POST",body:JSON.stringify(body2),...options})}async function parseErrorMessage(response){try{const errorData=await response.json();if(errorData?.error?.message)return errorData.
+error.message;if(errorData?.error&&typeof errorData.error=="string")return errorData.error;if(errorData?.message)return errorData.message}catch{}return`Request failed: ${response.status} ${response.statusText}`}function error(status,body2){throw new HttpError(status,body2)}async function validateApiKey(fetch2){try{const apiKey=config$1().apiKey,headers={"Content-Type":"application/json"};apiKey&&(headers.Authorization=`Bearer ${apiKey}`);const response=await fetch2(`${base}/props`,{headers});if(!response.
+ok){if(response.status===401||response.status===403)throw error(401,"Access denied");console.warn(`Server responded with status ${response.status} during API key validation`);return}}catch(err){if(err&&typeof err=="object"&&"status"in err)throw err;console.warn("Cannot connect to server for API key validation:",err)}}function isMcpPromptUpload(file){return file.type===SpecialFileType.MCP_PROMPT&&!!file.mcpPrompt}function isMcpPromptAttachment(attachment){return attachment.type===AttachmentType.MCP_PROMPT}
+function isMcpResourceAttachment(attachment){return attachment.type===AttachmentType.MCP_RESOURCE}function getUploadedFileCategory$1(file){const categoryByMime=getFileTypeCategory(file.type);return categoryByMime||getFileTypeCategoryByExtension(file.name)}function getAttachmentDisplayItems(options){const{uploadedFiles=[],attachments=[]}=options,items2=[];for(const file of uploadedFiles)items2.push({id:file.id,name:file.name,size:file.size,preview:file.preview,isImage:getUploadedFileCategory$1(file)===
+FileTypeCategory.IMAGE,isMcpPrompt:isMcpPromptUpload(file),isLoading:file.isLoading,loadError:file.loadError,uploadedFile:file,textContent:file.textContent});for(const[index2,attachment]of attachments.entries()){const isImage2=isImageFile(attachment),isMcpPrompt=isMcpPromptAttachment(attachment),isMcpResource=isMcpResourceAttachment(attachment);items2.push({id:`attachment-${index2}`,name:attachment.name,preview:isImage2&&"base64Url"in attachment?attachment.base64Url:void 0,isImage:isImage2,isMcpPrompt,
+isMcpResource,attachment,attachmentIndex:index2,textContent:"content"in attachment?attachment.content:void 0})}return items2.reverse()}function getUploadedFileCategory(uploadedFile){const categoryByMime=getFileTypeCategory(uploadedFile.type);return categoryByMime||getFileTypeCategoryByExtension(uploadedFile.name)}function isTextFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.TEXT:attachment?attachment.type===AttachmentType.TEXT||attachment.
+type===AttachmentType.LEGACY_CONTEXT:!1}function isImageFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.IMAGE:attachment?attachment.type===AttachmentType.IMAGE:!1}function isPdfFile$1(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.PDF:attachment?attachment.type===AttachmentType.PDF:!1}function isAudioFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===
+FileTypeCategory.AUDIO:attachment?attachment.type===AttachmentType.AUDIO:!1}function autoResizeTextarea(textareaElement){textareaElement&&(textareaElement.style.height="1rem",textareaElement.style.height=textareaElement.scrollHeight+"px")}function findMessageById(messages,id2){if(id2)return messages.find(m=>m.id===id2)}function filterByLeafNodeId(messages,leafNodeId,includeRoot=!1){const result=[],nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let startNode=nodeMap.get(leafNodeId);
+if(!startNode){let latestTime=-1;for(const msg of messages)msg.timestamp>latestTime&&(startNode=msg,latestTime=msg.timestamp)}let currentNode=startNode;for(;currentNode&&((currentNode.type!=="root"||includeRoot)&&result.push(currentNode),currentNode.parent!==null);)currentNode=nodeMap.get(currentNode.parent);return result.sort((a,b)=>a.role===MessageRole.SYSTEM&&b.role!==MessageRole.SYSTEM?-1:a.role!==MessageRole.SYSTEM&&b.role===MessageRole.SYSTEM?1:a.timestamp-b.timestamp),result}function findLeafNode(messages,messageId){
+const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let currentNode=nodeMap.get(messageId);for(;currentNode&&currentNode.children.length>0;){const lastChildId=currentNode.children[currentNode.children.length-1];currentNode=nodeMap.get(lastChildId)}return currentNode?.id??messageId}function findDescendantMessages(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const descendants=[],queue=[messageId];for(;queue.length>0;){const currentId=queue.
+shift(),currentNode=nodeMap.get(currentId);if(currentNode)for(const childId of currentNode.children)descendants.push(childId),queue.push(childId)}return descendants}function getMessageSiblings(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const message=nodeMap.get(messageId);if(!message)return null;if(message.parent===null)return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const parentNode=nodeMap.get(message.parent);if(!parentNode)
+return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const siblingIds=parentNode.children,siblingLeafIds=siblingIds.map(siblingId=>findLeafNode(messages,siblingId)),currentIndex=siblingIds.indexOf(messageId);return{message,siblingIds:siblingLeafIds,currentIndex,totalSiblings:siblingIds.length}}var core$5,hasRequiredCore$4;function requireCore$4(){if(hasRequiredCore$4)return core$5;hasRequiredCore$4=1;function deepFreeze(obj){return obj instanceof Map?obj.clear=obj.delete=obj.set=
+function(){throw new Error("map is read-only")}:obj instanceof Set&&(obj.add=obj.clear=obj.delete=function(){throw new Error("set is read-only")}),Object.freeze(obj),Object.getOwnPropertyNames(obj).forEach(name=>{const prop2=obj[name],type2=typeof prop2;(type2==="object"||type2==="function")&&!Object.isFrozen(prop2)&&deepFreeze(prop2)}),obj}class Response2{constructor(mode){mode.data===void 0&&(mode.data={}),this.data=mode.data,this.isMatchIgnored=!1}ignoreMatch(){this.isMatchIgnored=!0}}function escapeHTML(value){
+return value.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,"&quot;").replace(/'/g,"&#x27;")}function inherit$1(original,...objects){const result=Object.create(null);for(const key2 in original)result[key2]=original[key2];return objects.forEach(function(obj){for(const key2 in obj)result[key2]=obj[key2]}),result}const SPAN_CLOSE="</span>",emitsWrappingTags=node2=>!!node2.scope,scopeToCSSClass=(name,{prefix})=>{if(name.startsWith("language:"))return name.replace("langu\
+age:","language-");if(name.includes(".")){const pieces=name.split(".");return[`${prefix}${pieces.shift()}`,...pieces.map((x,i)=>`${x}${"_".repeat(i+1)}`)].join(" ")}return`${prefix}${name}`};class HTMLRenderer{constructor(parseTree3,options){this.buffer="",this.classPrefix=options.classPrefix,parseTree3.walk(this)}addText(text2){this.buffer+=escapeHTML(text2)}openNode(node2){if(!emitsWrappingTags(node2))return;const className=scopeToCSSClass(node2.scope,{prefix:this.classPrefix});this.span(className)}closeNode(node2){
+emitsWrappingTags(node2)&&(this.buffer+=SPAN_CLOSE)}value(){return this.buffer}span(className){this.buffer+=`<span class="${className}">`}}const newNode=(opts={})=>{const result={children:[]};return Object.assign(result,opts),result};class TokenTree{constructor(){this.rootNode=newNode(),this.stack=[this.rootNode]}get top(){return this.stack[this.stack.length-1]}get root(){return this.rootNode}add(node2){this.top.children.push(node2)}openNode(scope2){const node2=newNode({scope:scope2});this.add(node2),
+this.stack.push(node2)}closeNode(){if(this.stack.length>1)return this.stack.pop()}closeAllNodes(){for(;this.closeNode(););}toJSON(){return JSON.stringify(this.rootNode,null,4)}walk(builder){return this.constructor._walk(builder,this.rootNode)}static _walk(builder,node2){return typeof node2=="string"?builder.addText(node2):node2.children&&(builder.openNode(node2),node2.children.forEach(child2=>this._walk(builder,child2)),builder.closeNode(node2)),builder}static _collapse(node2){typeof node2!="str\
+ing"&&node2.children&&(node2.children.every(el=>typeof el=="string")?node2.children=[node2.children.join("")]:node2.children.forEach(child2=>{TokenTree._collapse(child2)}))}}class TokenTreeEmitter extends TokenTree{constructor(options){super(),this.options=options}addText(text2){text2!==""&&this.add(text2)}startScope(scope2){this.openNode(scope2)}endScope(){this.closeNode()}__addSublanguage(emitter,name){const node2=emitter.root;name&&(node2.scope=`language:${name}`),this.add(node2)}toHTML(){return new HTMLRenderer(
+this,this.options).value()}finalize(){return this.closeAllNodes(),!0}}function source2(re2){return re2?typeof re2=="string"?re2:re2.source:null}function lookahead2(re2){return concat2("(?=",re2,")")}function anyNumberOfTimes(re2){return concat2("(?:",re2,")*")}function optional2(re2){return concat2("(?:",re2,")?")}function concat2(...args){return args.map(x=>source2(x)).join("")}function stripOptionsFromArgs2(args){const opts=args[args.length-1];return typeof opts=="object"&&opts.constructor===Object?
+(args.splice(args.length-1,1),opts):{}}function either2(...args){return"("+(stripOptionsFromArgs2(args).capture?"":"?:")+args.map(x=>source2(x)).join("|")+")"}function countMatchGroups(re2){return new RegExp(re2.toString()+"|").exec("").length-1}function startsWith(re2,lexeme){const match=re2&&re2.exec(lexeme);return match&&match.index===0}const BACKREF_RE=/\[(?:[^\\\]]|\\.)*\]|\(\??|\\([1-9][0-9]*)|\\./;function _rewriteBackreferences(regexps,{joinWith}){let numCaptures=0;return regexps.map(regex=>{
+numCaptures+=1;const offset2=numCaptures;let re2=source2(regex),out="";for(;re2.length>0;){const match=BACKREF_RE.exec(re2);if(!match){out+=re2;break}out+=re2.substring(0,match.index),re2=re2.substring(match.index+match[0].length),match[0][0]==="\\"&&match[1]?out+="\\"+String(Number(match[1])+offset2):(out+=match[0],match[0]==="("&&numCaptures++)}return out}).map(re2=>`(${re2})`).join(joinWith)}const MATCH_NOTHING_RE=/\b\B/,IDENT_RE2="[a-zA-Z]\\w*",UNDERSCORE_IDENT_RE="[a-zA-Z_]\\w*",NUMBER_RE="\
+\\b\\d+(\\.\\d+)?",C_NUMBER_RE="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",BINARY_NUMBER_RE="\\b(0b[01]+)",RE_STARTERS_RE="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",SHEBANG=(opts={})=>{const beginShebang=/^#![ ]*\//;return opts.binary&&(opts.begin=concat2(beginShebang,/.*\b/,opts.binary,/\b.*/)),inherit$1({scope:"meta",begin:beginShebang,end:/$/,relevance:0,"on:begin":(m,resp)=>{
+m.index!==0&&resp.ignoreMatch()}},opts)},BACKSLASH_ESCAPE={begin:"\\\\[\\s\\S]",relevance:0},APOS_STRING_MODE={scope:"string",begin:"'",end:"'",illegal:"\\n",contains:[BACKSLASH_ESCAPE]},QUOTE_STRING_MODE={scope:"string",begin:'"',end:'"',illegal:"\\n",contains:[BACKSLASH_ESCAPE]},PHRASAL_WORDS_MODE={begin:/\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/},COMMENT=function(begin,end,modeOptions={}){const mode=inherit$1(
+{scope:"comment",begin,end,contains:[]},modeOptions);mode.contains.push({scope:"doctag",begin:"[ ]*(?=(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):)",end:/(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):/,excludeBegin:!0,relevance:0});const ENGLISH_WORD=either2("I","a","is","so","us","to","at","if","in","it","on",/[A-Za-z]+['](d|ve|re|ll|t|s|n)/,/[A-Za-z]+[-][a-z]+/,/[A-Za-z][a-z]{2,}/);return mode.contains.push({begin:concat2(/[ ]+/,"(",ENGLISH_WORD,/[.]?[:]?([.][ ]|[ ])/,"){3}")}),mode},C_LINE_COMMENT_MODE=COMMENT(
+"//","$"),C_BLOCK_COMMENT_MODE=COMMENT("/\\*","\\*/"),HASH_COMMENT_MODE=COMMENT("#","$"),NUMBER_MODE={scope:"number",begin:NUMBER_RE,relevance:0},C_NUMBER_MODE={scope:"number",begin:C_NUMBER_RE,relevance:0},BINARY_NUMBER_MODE={scope:"number",begin:BINARY_NUMBER_RE,relevance:0},REGEXP_MODE={scope:"regexp",begin:/\/(?=[^/\n]*\/)/,end:/\/[gimuy]*/,contains:[BACKSLASH_ESCAPE,{begin:/\[/,end:/\]/,relevance:0,contains:[BACKSLASH_ESCAPE]}]},TITLE_MODE={scope:"title",begin:IDENT_RE2,relevance:0},UNDERSCORE_TITLE_MODE={
+scope:"title",begin:UNDERSCORE_IDENT_RE,relevance:0},METHOD_GUARD={begin:"\\.\\s*"+UNDERSCORE_IDENT_RE,relevance:0};var MODES2=Object.freeze({__proto__:null,APOS_STRING_MODE,BACKSLASH_ESCAPE,BINARY_NUMBER_MODE,BINARY_NUMBER_RE,COMMENT,C_BLOCK_COMMENT_MODE,C_LINE_COMMENT_MODE,C_NUMBER_MODE,C_NUMBER_RE,END_SAME_AS_BEGIN:function(mode){return Object.assign(mode,{"on:begin":(m,resp)=>{resp.data._beginMatch=m[1]},"on:end":(m,resp)=>{resp.data._beginMatch!==m[1]&&resp.ignoreMatch()}})},HASH_COMMENT_MODE,
+IDENT_RE:IDENT_RE2,MATCH_NOTHING_RE,METHOD_GUARD,NUMBER_MODE,NUMBER_RE,PHRASAL_WORDS_MODE,QUOTE_STRING_MODE,REGEXP_MODE,RE_STARTERS_RE,SHEBANG,TITLE_MODE,UNDERSCORE_IDENT_RE,UNDERSCORE_TITLE_MODE});function skipIfHasPrecedingDot(match,response){match.input[match.index-1]==="."&&response.ignoreMatch()}function scopeClassName(mode,_parent){mode.className!==void 0&&(mode.scope=mode.className,delete mode.className)}function beginKeywords(mode,parent){parent&&mode.beginKeywords&&(mode.begin="\\b("+mode.
+beginKeywords.split(" ").join("|")+")(?!\\.)(?=\\b|\\s)",mode.__beforeBegin=skipIfHasPrecedingDot,mode.keywords=mode.keywords||mode.beginKeywords,delete mode.beginKeywords,mode.relevance===void 0&&(mode.relevance=0))}function compileIllegal(mode,_parent){Array.isArray(mode.illegal)&&(mode.illegal=either2(...mode.illegal))}function compileMatch(mode,_parent){if(mode.match){if(mode.begin||mode.end)throw new Error("begin & end are not supported with match");mode.begin=mode.match,delete mode.match}}
+function compileRelevance(mode,_parent){mode.relevance===void 0&&(mode.relevance=1)}const beforeMatchExt=(mode,parent)=>{if(!mode.beforeMatch)return;if(mode.starts)throw new Error("beforeMatch cannot be used with starts");const originalMode=Object.assign({},mode);Object.keys(mode).forEach(key2=>{delete mode[key2]}),mode.keywords=originalMode.keywords,mode.begin=concat2(originalMode.beforeMatch,lookahead2(originalMode.begin)),mode.starts={relevance:0,contains:[Object.assign(originalMode,{endsParent:!0})]},
+mode.relevance=0,delete originalMode.beforeMatch},COMMON_KEYWORDS=["of","and","for","in","not","or","if","then","parent","list","value"],DEFAULT_KEYWORD_SCOPE="keyword";function compileKeywords(rawKeywords,caseInsensitive,scopeName=DEFAULT_KEYWORD_SCOPE){const compiledKeywords=Object.create(null);return typeof rawKeywords=="string"?compileList(scopeName,rawKeywords.split(" ")):Array.isArray(rawKeywords)?compileList(scopeName,rawKeywords):Object.keys(rawKeywords).forEach(function(scopeName2){Object.
+assign(compiledKeywords,compileKeywords(rawKeywords[scopeName2],caseInsensitive,scopeName2))}),compiledKeywords;function compileList(scopeName2,keywordList){caseInsensitive&&(keywordList=keywordList.map(x=>x.toLowerCase())),keywordList.forEach(function(keyword2){const pair=keyword2.split("|");compiledKeywords[pair[0]]=[scopeName2,scoreForKeyword(pair[0],pair[1])]})}}function scoreForKeyword(keyword2,providedScore){return providedScore?Number(providedScore):commonKeyword(keyword2)?0:1}function commonKeyword(keyword2){
+return COMMON_KEYWORDS.includes(keyword2.toLowerCase())}const seenDeprecations={},error2=message=>{console.error(message)},warn2=(message,...args)=>{console.log(`WARN: ${message}`,...args)},deprecated2=(version3,message)=>{seenDeprecations[`${version3}/${message}`]||(console.log(`Deprecated as of ${version3}. ${message}`),seenDeprecations[`${version3}/${message}`]=!0)},MultiClassError=new Error;function remapScopeNames(mode,regexes,{key:key2}){let offset2=0;const scopeNames=mode[key2],emit={},positions={};
+for(let i=1;i<=regexes.length;i++)positions[i+offset2]=scopeNames[i],emit[i+offset2]=!0,offset2+=countMatchGroups(regexes[i-1]);mode[key2]=positions,mode[key2]._emit=emit,mode[key2]._multi=!0}function beginMultiClass(mode){if(Array.isArray(mode.begin)){if(mode.skip||mode.excludeBegin||mode.returnBegin)throw error2("skip, excludeBegin, returnBegin not compatible with beginScope: {}"),MultiClassError;if(typeof mode.beginScope!="object"||mode.beginScope===null)throw error2("beginScope must be objec\
+t"),MultiClassError;remapScopeNames(mode,mode.begin,{key:"beginScope"}),mode.begin=_rewriteBackreferences(mode.begin,{joinWith:""})}}function endMultiClass(mode){if(Array.isArray(mode.end)){if(mode.skip||mode.excludeEnd||mode.returnEnd)throw error2("skip, excludeEnd, returnEnd not compatible with endScope: {}"),MultiClassError;if(typeof mode.endScope!="object"||mode.endScope===null)throw error2("endScope must be object"),MultiClassError;remapScopeNames(mode,mode.end,{key:"endScope"}),mode.end=_rewriteBackreferences(
+mode.end,{joinWith:""})}}function scopeSugar(mode){mode.scope&&typeof mode.scope=="object"&&mode.scope!==null&&(mode.beginScope=mode.scope,delete mode.scope)}function MultiClass(mode){scopeSugar(mode),typeof mode.beginScope=="string"&&(mode.beginScope={_wrap:mode.beginScope}),typeof mode.endScope=="string"&&(mode.endScope={_wrap:mode.endScope}),beginMultiClass(mode),endMultiClass(mode)}function compileLanguage(language2){function langRe(value,global2){return new RegExp(source2(value),"m"+(language2.
+case_insensitive?"i":"")+(language2.unicodeRegex?"u":"")+(global2?"g":""))}class MultiRegex{constructor(){this.matchIndexes={},this.regexes=[],this.matchAt=1,this.position=0}addRule(re2,opts){opts.position=this.position++,this.matchIndexes[this.matchAt]=opts,this.regexes.push([opts,re2]),this.matchAt+=countMatchGroups(re2)+1}compile(){this.regexes.length===0&&(this.exec=()=>null);const terminators=this.regexes.map(el=>el[1]);this.matcherRe=langRe(_rewriteBackreferences(terminators,{joinWith:"|"}),
+!0),this.lastIndex=0}exec(s2){this.matcherRe.lastIndex=this.lastIndex;const match=this.matcherRe.exec(s2);if(!match)return null;const i=match.findIndex((el,i2)=>i2>0&&el!==void 0),matchData=this.matchIndexes[i];return match.splice(0,i),Object.assign(match,matchData)}}class ResumableMultiRegex{constructor(){this.rules=[],this.multiRegexes=[],this.count=0,this.lastIndex=0,this.regexIndex=0}getMatcher(index2){if(this.multiRegexes[index2])return this.multiRegexes[index2];const matcher=new MultiRegex;
+return this.rules.slice(index2).forEach(([re2,opts])=>matcher.addRule(re2,opts)),matcher.compile(),this.multiRegexes[index2]=matcher,matcher}resumingScanAtSamePosition(){return this.regexIndex!==0}considerAll(){this.regexIndex=0}addRule(re2,opts){this.rules.push([re2,opts]),opts.type==="begin"&&this.count++}exec(s2){const m=this.getMatcher(this.regexIndex);m.lastIndex=this.lastIndex;let result=m.exec(s2);if(this.resumingScanAtSamePosition()&&!(result&&result.index===this.lastIndex)){const m2=this.
+getMatcher(0);m2.lastIndex=this.lastIndex+1,result=m2.exec(s2)}return result&&(this.regexIndex+=result.position+1,this.regexIndex===this.count&&this.considerAll()),result}}function buildModeRegex(mode){const mm=new ResumableMultiRegex;return mode.contains.forEach(term=>mm.addRule(term.begin,{rule:term,type:"begin"})),mode.terminatorEnd&&mm.addRule(mode.terminatorEnd,{type:"end"}),mode.illegal&&mm.addRule(mode.illegal,{type:"illegal"}),mm}function compileMode(mode,parent){const cmode=mode;if(mode.
+isCompiled)return cmode;[scopeClassName,compileMatch,MultiClass,beforeMatchExt].forEach(ext=>ext(mode,parent)),language2.compilerExtensions.forEach(ext=>ext(mode,parent)),mode.__beforeBegin=null,[beginKeywords,compileIllegal,compileRelevance].forEach(ext=>ext(mode,parent)),mode.isCompiled=!0;let keywordPattern=null;return typeof mode.keywords=="object"&&mode.keywords.$pattern&&(mode.keywords=Object.assign({},mode.keywords),keywordPattern=mode.keywords.$pattern,delete mode.keywords.$pattern),keywordPattern=
+keywordPattern||/\w+/,mode.keywords&&(mode.keywords=compileKeywords(mode.keywords,language2.case_insensitive)),cmode.keywordPatternRe=langRe(keywordPattern,!0),parent&&(mode.begin||(mode.begin=/\B|\b/),cmode.beginRe=langRe(cmode.begin),!mode.end&&!mode.endsWithParent&&(mode.end=/\B|\b/),mode.end&&(cmode.endRe=langRe(cmode.end)),cmode.terminatorEnd=source2(cmode.end)||"",mode.endsWithParent&&parent.terminatorEnd&&(cmode.terminatorEnd+=(mode.end?"|":"")+parent.terminatorEnd)),mode.illegal&&(cmode.
+illegalRe=langRe(mode.illegal)),mode.contains||(mode.contains=[]),mode.contains=[].concat(...mode.contains.map(function(c2){return expandOrCloneMode(c2==="self"?mode:c2)})),mode.contains.forEach(function(c2){compileMode(c2,cmode)}),mode.starts&&compileMode(mode.starts,parent),cmode.matcher=buildModeRegex(cmode),cmode}if(language2.compilerExtensions||(language2.compilerExtensions=[]),language2.contains&&language2.contains.includes("self"))throw new Error("ERR: contains `self` is not supported at \
+the top-level of a language.  See documentation.");return language2.classNameAliases=inherit$1(language2.classNameAliases||{}),compileMode(language2)}function dependencyOnParent(mode){return mode?mode.endsWithParent||dependencyOnParent(mode.starts):!1}function expandOrCloneMode(mode){return mode.variants&&!mode.cachedVariants&&(mode.cachedVariants=mode.variants.map(function(variant){return inherit$1(mode,{variants:null},variant)})),mode.cachedVariants?mode.cachedVariants:dependencyOnParent(mode)?
+inherit$1(mode,{starts:mode.starts?inherit$1(mode.starts):null}):Object.isFrozen(mode)?inherit$1(mode):mode}var version2="11.11.1";class HTMLInjectionError extends Error{constructor(reason,html2){super(reason),this.name="HTMLInjectionError",this.html=html2}}const escape2=escapeHTML,inherit=inherit$1,NO_MATCH=Symbol("nomatch"),MAX_KEYWORD_HITS=7,HLJS=function(hljs){const languages=Object.create(null),aliases=Object.create(null),plugins=[];let SAFE_MODE=!0;const LANGUAGE_NOT_FOUND="Could not find \
+the language '{}', did you forget to load/include a language module?",PLAINTEXT_LANGUAGE={disableAutodetect:!0,name:"Plain text",contains:[]};let options={ignoreUnescapedHTML:!1,throwUnescapedHTML:!1,noHighlightRe:/^(no-?highlight)$/i,languageDetectRe:/\blang(?:uage)?-([\w-]+)\b/i,classPrefix:"hljs-",cssSelector:"pre code",languages:null,__emitter:TokenTreeEmitter};function shouldNotHighlight(languageName){return options.noHighlightRe.test(languageName)}function blockLanguage(block2){let classes=block2.
+className+" ";classes+=block2.parentNode?block2.parentNode.className:"";const match=options.languageDetectRe.exec(classes);if(match){const language2=getLanguage(match[1]);return language2||(warn2(LANGUAGE_NOT_FOUND.replace("{}",match[1])),warn2("Falling back to no-highlight mode for this block.",block2)),language2?match[1]:"no-highlight"}return classes.split(/\s+/).find(_class=>shouldNotHighlight(_class)||getLanguage(_class))}function highlight2(codeOrLanguageName,optionsOrCode,ignoreIllegals){let code2="",
+languageName="";typeof optionsOrCode=="object"?(code2=codeOrLanguageName,ignoreIllegals=optionsOrCode.ignoreIllegals,languageName=optionsOrCode.language):(deprecated2("10.7.0","highlight(lang, code, ...args) has been deprecated."),deprecated2("10.7.0",`Please use highlight(code, options) instead.
+https://github.com/highlightjs/highlight.js/issues/2277`),languageName=codeOrLanguageName,code2=optionsOrCode),ignoreIllegals===void 0&&(ignoreIllegals=!0);const context={code:code2,language:languageName};fire("before:highlight",context);const result=context.result?context.result:_highlight(context.language,context.code,ignoreIllegals);return result.code=context.code,fire("after:highlight",result),result}function _highlight(languageName,codeToHighlight,ignoreIllegals,continuation){const keywordHits=Object.
+create(null);function keywordData(mode,matchText){return mode.keywords[matchText]}function processKeywords(){if(!top.keywords){emitter.addText(modeBuffer);return}let lastIndex=0;top.keywordPatternRe.lastIndex=0;let match=top.keywordPatternRe.exec(modeBuffer),buf="";for(;match;){buf+=modeBuffer.substring(lastIndex,match.index);const word=language2.case_insensitive?match[0].toLowerCase():match[0],data=keywordData(top,word);if(data){const[kind,keywordRelevance]=data;if(emitter.addText(buf),buf="",keywordHits[word]=
+(keywordHits[word]||0)+1,keywordHits[word]<=MAX_KEYWORD_HITS&&(relevance+=keywordRelevance),kind.startsWith("_"))buf+=match[0];else{const cssClass=language2.classNameAliases[kind]||kind;emitKeyword(match[0],cssClass)}}else buf+=match[0];lastIndex=top.keywordPatternRe.lastIndex,match=top.keywordPatternRe.exec(modeBuffer)}buf+=modeBuffer.substring(lastIndex),emitter.addText(buf)}function processSubLanguage(){if(modeBuffer==="")return;let result2=null;if(typeof top.subLanguage=="string"){if(!languages[top.
+subLanguage]){emitter.addText(modeBuffer);return}result2=_highlight(top.subLanguage,modeBuffer,!0,continuations[top.subLanguage]),continuations[top.subLanguage]=result2._top}else result2=highlightAuto(modeBuffer,top.subLanguage.length?top.subLanguage:null);top.relevance>0&&(relevance+=result2.relevance),emitter.__addSublanguage(result2._emitter,result2.language)}function processBuffer(){top.subLanguage!=null?processSubLanguage():processKeywords(),modeBuffer=""}function emitKeyword(keyword2,scope2){
+keyword2!==""&&(emitter.startScope(scope2),emitter.addText(keyword2),emitter.endScope())}function emitMultiClass(scope2,match){let i=1;const max2=match.length-1;for(;i<=max2;){if(!scope2._emit[i]){i++;continue}const klass=language2.classNameAliases[scope2[i]]||scope2[i],text2=match[i];klass?emitKeyword(text2,klass):(modeBuffer=text2,processKeywords(),modeBuffer=""),i++}}function startNewMode(mode,match){return mode.scope&&typeof mode.scope=="string"&&emitter.openNode(language2.classNameAliases[mode.
+scope]||mode.scope),mode.beginScope&&(mode.beginScope._wrap?(emitKeyword(modeBuffer,language2.classNameAliases[mode.beginScope._wrap]||mode.beginScope._wrap),modeBuffer=""):mode.beginScope._multi&&(emitMultiClass(mode.beginScope,match),modeBuffer="")),top=Object.create(mode,{parent:{value:top}}),top}function endOfMode(mode,match,matchPlusRemainder){let matched=startsWith(mode.endRe,matchPlusRemainder);if(matched){if(mode["on:end"]){const resp=new Response2(mode);mode["on:end"](match,resp),resp.isMatchIgnored&&
+(matched=!1)}if(matched){for(;mode.endsParent&&mode.parent;)mode=mode.parent;return mode}}if(mode.endsWithParent)return endOfMode(mode.parent,match,matchPlusRemainder)}function doIgnore(lexeme){return top.matcher.regexIndex===0?(modeBuffer+=lexeme[0],1):(resumeScanAtSamePosition=!0,0)}function doBeginMatch(match){const lexeme=match[0],newMode=match.rule,resp=new Response2(newMode),beforeCallbacks=[newMode.__beforeBegin,newMode["on:begin"]];for(const cb of beforeCallbacks)if(cb&&(cb(match,resp),resp.
+isMatchIgnored))return doIgnore(lexeme);return newMode.skip?modeBuffer+=lexeme:(newMode.excludeBegin&&(modeBuffer+=lexeme),processBuffer(),!newMode.returnBegin&&!newMode.excludeBegin&&(modeBuffer=lexeme)),startNewMode(newMode,match),newMode.returnBegin?0:lexeme.length}function doEndMatch(match){const lexeme=match[0],matchPlusRemainder=codeToHighlight.substring(match.index),endMode=endOfMode(top,match,matchPlusRemainder);if(!endMode)return NO_MATCH;const origin2=top;top.endScope&&top.endScope._wrap?
+(processBuffer(),emitKeyword(lexeme,top.endScope._wrap)):top.endScope&&top.endScope._multi?(processBuffer(),emitMultiClass(top.endScope,match)):origin2.skip?modeBuffer+=lexeme:(origin2.returnEnd||origin2.excludeEnd||(modeBuffer+=lexeme),processBuffer(),origin2.excludeEnd&&(modeBuffer=lexeme));do top.scope&&emitter.closeNode(),!top.skip&&!top.subLanguage&&(relevance+=top.relevance),top=top.parent;while(top!==endMode.parent);return endMode.starts&&startNewMode(endMode.starts,match),origin2.returnEnd?
+0:lexeme.length}function processContinuations(){const list2=[];for(let current2=top;current2!==language2;current2=current2.parent)current2.scope&&list2.unshift(current2.scope);list2.forEach(item=>emitter.openNode(item))}let lastMatch={};function processLexeme(textBeforeMatch,match){const lexeme=match&&match[0];if(modeBuffer+=textBeforeMatch,lexeme==null)return processBuffer(),0;if(lastMatch.type==="begin"&&match.type==="end"&&lastMatch.index===match.index&&lexeme===""){if(modeBuffer+=codeToHighlight.
+slice(match.index,match.index+1),!SAFE_MODE){const err=new Error(`0 width match regex (${languageName})`);throw err.languageName=languageName,err.badRule=lastMatch.rule,err}return 1}if(lastMatch=match,match.type==="begin")return doBeginMatch(match);if(match.type==="illegal"&&!ignoreIllegals){const err=new Error('Illegal lexeme "'+lexeme+'" for mode "'+(top.scope||"<unnamed>")+'"');throw err.mode=top,err}else if(match.type==="end"){const processed=doEndMatch(match);if(processed!==NO_MATCH)return processed}
+if(match.type==="illegal"&&lexeme==="")return modeBuffer+=`
+`,1;if(iterations>1e5&&iterations>match.index*3)throw new Error("potential infinite loop, way more iterations than matches");return modeBuffer+=lexeme,lexeme.length}const language2=getLanguage(languageName);if(!language2)throw error2(LANGUAGE_NOT_FOUND.replace("{}",languageName)),new Error('Unknown language: "'+languageName+'"');const md=compileLanguage(language2);let result="",top=continuation||md;const continuations={},emitter=new options.__emitter(options);processContinuations();let modeBuffer="",
+relevance=0,index2=0,iterations=0,resumeScanAtSamePosition=!1;try{if(language2.__emitTokens)language2.__emitTokens(codeToHighlight,emitter);else{for(top.matcher.considerAll();;){iterations++,resumeScanAtSamePosition?resumeScanAtSamePosition=!1:top.matcher.considerAll(),top.matcher.lastIndex=index2;const match=top.matcher.exec(codeToHighlight);if(!match)break;const beforeMatch=codeToHighlight.substring(index2,match.index),processedCount=processLexeme(beforeMatch,match);index2=match.index+processedCount}
+processLexeme(codeToHighlight.substring(index2))}return emitter.finalize(),result=emitter.toHTML(),{language:languageName,value:result,relevance,illegal:!1,_emitter:emitter,_top:top}}catch(err){if(err.message&&err.message.includes("Illegal"))return{language:languageName,value:escape2(codeToHighlight),illegal:!0,relevance:0,_illegalBy:{message:err.message,index:index2,context:codeToHighlight.slice(index2-100,index2+100),mode:err.mode,resultSoFar:result},_emitter:emitter};if(SAFE_MODE)return{language:languageName,
+value:escape2(codeToHighlight),illegal:!1,relevance:0,errorRaised:err,_emitter:emitter,_top:top};throw err}}function justTextHighlightResult(code2){const result={value:escape2(code2),illegal:!1,relevance:0,_top:PLAINTEXT_LANGUAGE,_emitter:new options.__emitter(options)};return result._emitter.addText(code2),result}function highlightAuto(code2,languageSubset){languageSubset=languageSubset||options.languages||Object.keys(languages);const plaintext2=justTextHighlightResult(code2),results=languageSubset.
+filter(getLanguage).filter(autoDetection).map(name=>_highlight(name,code2,!1));results.unshift(plaintext2);const sorted=results.sort((a,b)=>{if(a.relevance!==b.relevance)return b.relevance-a.relevance;if(a.language&&b.language){if(getLanguage(a.language).supersetOf===b.language)return 1;if(getLanguage(b.language).supersetOf===a.language)return-1}return 0}),[best,secondBest]=sorted,result=best;return result.secondBest=secondBest,result}function updateClassName(element2,currentLang,resultLang){const language2=currentLang&&
+aliases[currentLang]||resultLang;element2.classList.add("hljs"),element2.classList.add(`language-${language2}`)}function highlightElement(element2){let node2=null;const language2=blockLanguage(element2);if(shouldNotHighlight(language2))return;if(fire("before:highlightElement",{el:element2,language:language2}),element2.dataset.highlighted){console.log("Element previously highlighted. To highlight again, first unset `dataset.highlighted`.",element2);return}if(element2.children.length>0&&(options.ignoreUnescapedHTML||
+(console.warn("One of your code blocks includes unescaped HTML. This is a potentially serious security risk."),console.warn("https://github.com/highlightjs/highlight.js/wiki/security"),console.warn("The element with unescaped HTML:"),console.warn(element2)),options.throwUnescapedHTML))throw new HTMLInjectionError("One of your code blocks includes unescaped HTML.",element2.innerHTML);node2=element2;const text2=node2.textContent,result=language2?highlight2(text2,{language:language2,ignoreIllegals:!0}):
+highlightAuto(text2);element2.innerHTML=result.value,element2.dataset.highlighted="yes",updateClassName(element2,language2,result.language),element2.result={language:result.language,re:result.relevance,relevance:result.relevance},result.secondBest&&(element2.secondBest={language:result.secondBest.language,relevance:result.secondBest.relevance}),fire("after:highlightElement",{el:element2,result,text:text2})}function configure2(userOptions){options=inherit(options,userOptions)}const initHighlighting=()=>{
+highlightAll(),deprecated2("10.6.0","initHighlighting() deprecated.  Use highlightAll() now.")};function initHighlightingOnLoad(){highlightAll(),deprecated2("10.6.0","initHighlightingOnLoad() deprecated.  Use highlightAll() now.")}let wantsHighlight=!1;function highlightAll(){function boot(){highlightAll()}if(document.readyState==="loading"){wantsHighlight||window.addEventListener("DOMContentLoaded",boot,!1),wantsHighlight=!0;return}document.querySelectorAll(options.cssSelector).forEach(highlightElement)}
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+CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW SYSRES_CONST_ACCESS_RIGHTS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_TYPE_CHANGE SYSRES_CONST_ACCESS_TYPE_CHANGE_CODE SYSRES_CONST_ACCESS_TYPE_EXISTS SYSRES_CONST_ACCESS_TYPE_EXISTS_CODE SY\
+SRES_CONST_ACCESS_TYPE_FULL SYSRES_CONST_ACCESS_TYPE_FULL_CODE SYSRES_CONST_ACCESS_TYPE_VIEW SYSRES_CONST_ACCESS_TYPE_VIEW_CODE SYSRES_CONST_ACTION_TYPE_ABORT SYSRES_CONST_ACTION_TYPE_ACCEPT SYSRES_CONST_ACTION_TYPE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ADD_ATTACHMENT SYSRES_CONST_ACTION_TYPE_CHANGE_CARD SYSRES_CONST_ACTION_TYPE_CHANGE_KIND SYSRES_CONST_ACTION_TYPE_CHANGE_STORAGE SYSRES_CONST_ACTION_TYPE_CONTINUE SYSRES_CONST_ACTION_TYPE_COPY SYSRES_CONST_ACTION_TYPE_CREATE SYSRES_CONST_ACTION_\
+TYPE_CREATE_VERSION SYSRES_CONST_ACTION_TYPE_DELETE SYSRES_CONST_ACTION_TYPE_DELETE_ATTACHMENT SYSRES_CONST_ACTION_TYPE_DELETE_VERSION SYSRES_CONST_ACTION_TYPE_DISABLE_DELEGATE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ENABLE_DELEGATE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_CERTIFICATE SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_CERTIFICATE_AND_PASSWORD SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_PASSWORD SYSRES_CONST_ACTION_TYPE_EXPORT_WITH_LOCK SYSRES_CONST_ACTION_TYPE_EXPORT_WITHOUT_LOCK SYSR\
+ES_CONST_ACTION_TYPE_IMPORT_WITH_UNLOCK SYSRES_CONST_ACTION_TYPE_IMPORT_WITHOUT_UNLOCK SYSRES_CONST_ACTION_TYPE_LIFE_CYCLE_STAGE SYSRES_CONST_ACTION_TYPE_LOCK SYSRES_CONST_ACTION_TYPE_LOCK_FOR_SERVER SYSRES_CONST_ACTION_TYPE_LOCK_MODIFY SYSRES_CONST_ACTION_TYPE_MARK_AS_READED SYSRES_CONST_ACTION_TYPE_MARK_AS_UNREADED SYSRES_CONST_ACTION_TYPE_MODIFY SYSRES_CONST_ACTION_TYPE_MODIFY_CARD SYSRES_CONST_ACTION_TYPE_MOVE_TO_ARCHIVE SYSRES_CONST_ACTION_TYPE_OFF_ENCRYPTION SYSRES_CONST_ACTION_TYPE_PASSWO\
+RD_CHANGE SYSRES_CONST_ACTION_TYPE_PERFORM SYSRES_CONST_ACTION_TYPE_RECOVER_FROM_LOCAL_COPY SYSRES_CONST_ACTION_TYPE_RESTART SYSRES_CONST_ACTION_TYPE_RESTORE_FROM_ARCHIVE SYSRES_CONST_ACTION_TYPE_REVISION SYSRES_CONST_ACTION_TYPE_SEND_BY_MAIL SYSRES_CONST_ACTION_TYPE_SIGN SYSRES_CONST_ACTION_TYPE_START SYSRES_CONST_ACTION_TYPE_UNLOCK SYSRES_CONST_ACTION_TYPE_UNLOCK_FROM_SERVER SYSRES_CONST_ACTION_TYPE_VERSION_STATE SYSRES_CONST_ACTION_TYPE_VERSION_VISIBILITY SYSRES_CONST_ACTION_TYPE_VIEW SYSRES_\
+CONST_ACTION_TYPE_VIEW_SHADOW_COPY SYSRES_CONST_ACTION_TYPE_WORKFLOW_DESCRIPTION_MODIFY SYSRES_CONST_ACTION_TYPE_WRITE_HISTORY SYSRES_CONST_ACTIVE_VERSION_STATE_PICK_VALUE SYSRES_CONST_ADD_REFERENCE_MODE_NAME SYSRES_CONST_ADDITION_REQUISITE_CODE SYSRES_CONST_ADDITIONAL_PARAMS_REQUISITE_CODE SYSRES_CONST_ADITIONAL_JOB_END_DATE_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_READ_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_START_DATE_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_STATE_REQUISITE_NAME SYSRES_CO\
+NST_ADMINISTRATION_HISTORY_ADDING_USER_TO_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_ADDING_USER_TO_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_COMP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_COMP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_USER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_USER_ACTION_CODE SYSRES_CONST_ADMI\
+NISTRATION_HISTORY_DATABASE_USER_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_COMP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_COMP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION\
+_HISTORY_DELETION_USER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_FROM_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_FROM_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_RESTRICTION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_RESTRICTION_A\
+CTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_PRIVILEGE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_RIGHTS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_IS_MAIN_SERVER_CHANGED_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_IS_MAIN_SERVER_CHANGED_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_IS_PUBLIC_CHANGED_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_IS_\
+PUBLIC_CHANGED_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_RESTRICTION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_RESTRICTION_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_PRIVILEGE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION SYSRES_\
+CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_CATEGORY_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_CATEGORY_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION SYSRES_\
+CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH\
+_TYPE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE_ACTION SYSRES_CONST_ALL_ACCEPT_CONDIT\
+ION_RUS SYSRES_CONST_ALL_USERS_GROUP SYSRES_CONST_ALL_USERS_GROUP_NAME SYSRES_CONST_ALL_USERS_SERVER_GROUP_NAME SYSRES_CONST_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_APP_VIEWER_TYPE_REQUISITE_CODE SYSRES_CONST_APPROVING_SIGNATURE_NAME SYSRES_CONST_APPROVING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE_CODE SYSRES_CONST_ATTACH_TYPE_COMPONENT_TOKEN SYSRES_CONST_ATTACH_TYPE_DOC SYSRES_CONST_ATTACH_TYPE_EDOC S\
+YSRES_CONST_ATTACH_TYPE_FOLDER SYSRES_CONST_ATTACH_TYPE_JOB SYSRES_CONST_ATTACH_TYPE_REFERENCE SYSRES_CONST_ATTACH_TYPE_TASK SYSRES_CONST_AUTH_ENCODED_PASSWORD SYSRES_CONST_AUTH_ENCODED_PASSWORD_CODE SYSRES_CONST_AUTH_NOVELL SYSRES_CONST_AUTH_PASSWORD SYSRES_CONST_AUTH_PASSWORD_CODE SYSRES_CONST_AUTH_WINDOWS SYSRES_CONST_AUTHENTICATING_SIGNATURE_NAME SYSRES_CONST_AUTHENTICATING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_AUTO_ENUM_METHOD_FLAG SYSRES_CONST_AUTO_NUMERATION_CODE SYSRES_CONST_AUTO_STRONG_\
+ENUM_METHOD_FLAG SYSRES_CONST_AUTOTEXT_NAME_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_TEXT_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_USAGE_ALL SYSRES_CONST_AUTOTEXT_USAGE_ALL_CODE SYSRES_CONST_AUTOTEXT_USAGE_SIGN SYSRES_CONST_AUTOTEXT_USAGE_SIGN_CODE SYSRES_CONST_AUTOTEXT_USAGE_WORK SYSRES_CONST_AUTOTEXT_USAGE_WORK_CODE SYSRES_CONST_AUTOTEXT_USE_ANYWHERE_CODE SYSRES_CONST_AUTOTEXT_USE_ON_SIGNING_CODE SYSRES_CONST_AUTOTEXT_USE_ON_WORK_CODE SYSRES_CONST_BEGIN_DATE_REQUISITE_CODE SYSRES_CONST_BLACK_LIFE_CYCL\
+E_STAGE_FONT_COLOR SYSRES_CONST_BLUE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BTN_PART SYSRES_CONST_CALCULATED_ROLE_TYPE_CODE SYSRES_CONST_CALL_TYPE_VARIABLE_BUTTON_VALUE SYSRES_CONST_CALL_TYPE_VARIABLE_PROGRAM_VALUE SYSRES_CONST_CANCEL_MESSAGE_FUNCTION_RESULT SYSRES_CONST_CARD_PART SYSRES_CONST_CARD_REFERENCE_MODE_NAME SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_AND_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_VALUE SYSRES_CON\
+ST_CHECK_PARAM_VALUE_DATE_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_FLOAT_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_INTEGER_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_PICK_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_REEFRENCE_PARAM_TYPE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_CODE_COMPONENT_TYPE_ADMIN SYSRES_CONST_CODE_COMPONENT_TYPE_DEVELOPER SYSRES_CONST_CODE_COMPONENT_TYPE_DOCS SYSRES_CONST_CODE_COMPONENT_TYPE_EDOC_CARDS SYSRES_\
+CONST_CODE_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_CODE_COMPONENT_TYPE_OTHER SYSRES_CONST_CODE_COMPONENT_TYPE_REFERENCE SYSRES_CONST_CODE_COMPONENT_TYPE_REPORT SYSRES_CONST_CODE_COMPONENT_TYPE_SCRIPT SYSRES_CONST_CODE_COMPONENT_TYPE_URL SYSRES_CONST_CODE_REQUISITE_ACCESS SYSRES_CONST_CODE_REQUISITE_CODE SYSRES_CONST_CODE_REQUISITE_COMPONENT SYSRES_CONST_CODE_REQUISITE_DESCRIPTION SYSRES_CONST_CODE_REQUISITE_EXCLUDE_COMPONENT SYSRES_CONST_CODE_REQUISITE_RECORD SYSRES_CONST_COMMENT_REQ_COD\
+E SYSRES_CONST_COMMON_SETTINGS_REQUISITE_CODE SYSRES_CONST_COMP_CODE_GRD SYSRES_CONST_COMPONENT_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_COMPONENT_TYPE_ADMIN_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DEVELOPER_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DOCS SYSRES_CONST_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_COMPONENT_TYPE_EDOCS SYSRES_CONST_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_COMPONENT_TYPE_OTHER SYSRES_CONST_COMPONENT_TYPE_REFERENCE_TYPES SYSRES_CONST_COMPONENT_TYPE_REFERENCES SYSRES_CONST_\
+COMPONENT_TYPE_REPORTS SYSRES_CONST_COMPONENT_TYPE_SCRIPTS SYSRES_CONST_COMPONENT_TYPE_URL SYSRES_CONST_COMPONENTS_REMOTE_SERVERS_VIEW_CODE SYSRES_CONST_CONDITION_BLOCK_DESCRIPTION SYSRES_CONST_CONST_FIRM_STATUS_COMMON SYSRES_CONST_CONST_FIRM_STATUS_INDIVIDUAL SYSRES_CONST_CONST_NEGATIVE_VALUE SYSRES_CONST_CONST_POSITIVE_VALUE SYSRES_CONST_CONST_SERVER_STATUS_DONT_REPLICATE SYSRES_CONST_CONST_SERVER_STATUS_REPLICATE SYSRES_CONST_CONTENTS_REQUISITE_CODE SYSRES_CONST_DATA_TYPE_BOOLEAN SYSRES_CONST\
+_DATA_TYPE_DATE SYSRES_CONST_DATA_TYPE_FLOAT SYSRES_CONST_DATA_TYPE_INTEGER SYSRES_CONST_DATA_TYPE_PICK SYSRES_CONST_DATA_TYPE_REFERENCE SYSRES_CONST_DATA_TYPE_STRING SYSRES_CONST_DATA_TYPE_TEXT SYSRES_CONST_DATA_TYPE_VARIANT SYSRES_CONST_DATE_CLOSE_REQ_CODE SYSRES_CONST_DATE_FORMAT_DATE_ONLY_CHAR SYSRES_CONST_DATE_OPEN_REQ_CODE SYSRES_CONST_DATE_REQUISITE SYSRES_CONST_DATE_REQUISITE_CODE SYSRES_CONST_DATE_REQUISITE_NAME SYSRES_CONST_DATE_REQUISITE_TYPE SYSRES_CONST_DATE_TYPE_CHAR SYSRES_CONST_D\
+ATETIME_FORMAT_VALUE SYSRES_CONST_DEA_ACCESS_RIGHTS_ACTION_CODE SYSRES_CONST_DESCRIPTION_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_DET1_PART SYSRES_CONST_DET2_PART SYSRES_CONST_DET3_PART SYSRES_CONST_DET4_PART SYSRES_CONST_DET5_PART SYSRES_CONST_DET6_PART SYSRES_CONST_DETAIL_DATASET_KEY_REQUISITE_CODE SYSRES_CONST_DETAIL_PICK_REQUISITE_CODE SYSRES_CONST_DETAIL_REQ_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_NAME SYSRES_C\
+ONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_NAME SYSRES_CONST_DOCUMENT_STORAGES_CODE SYSRES_CONST_DOCUMENT_TEMPLATES_TYPE_NAME SYSRES_CONST_DOUBLE_REQUISITE_CODE SYSRES_CONST_EDITOR_CLOSE_FILE_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_CLOSE_PROCESS_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_TYPE_REQUISITE_CODE SYSRES_CONST_EDITORS_APPLICATION_NAME_REQUISITE_CODE SYSRES_CONST_EDITORS_CREATE_SEVERAL_PROCESSES_REQUISITE_CODE SYSRES_CONST_EDITORS_EXTENSION_REQUISITE_COD\
+E SYSRES_CONST_EDITORS_OBSERVER_BY_PROCESS_TYPE SYSRES_CONST_EDITORS_REFERENCE_CODE SYSRES_CONST_EDITORS_REPLACE_SPEC_CHARS_REQUISITE_CODE SYSRES_CONST_EDITORS_USE_PLUGINS_REQUISITE_CODE SYSRES_CONST_EDITORS_VIEW_DOCUMENT_OPENED_TO_EDIT_CODE SYSRES_CONST_EDOC_CARD_TYPE_REQUISITE_CODE SYSRES_CONST_EDOC_CARD_TYPES_LINK_REQUISITE_CODE SYSRES_CONST_EDOC_CERTIFICATE_AND_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_CERTIFICATE_ENCODE_CODE SYSRES_CONST_EDOC_DATE_REQUISITE_CODE SYSRES_CONST_EDOC_KIND_REFERENC\
+E_CODE SYSRES_CONST_EDOC_KINDS_BY_TEMPLATE_ACTION_CODE SYSRES_CONST_EDOC_MANAGE_ACCESS_CODE SYSRES_CONST_EDOC_NONE_ENCODE_CODE SYSRES_CONST_EDOC_NUMBER_REQUISITE_CODE SYSRES_CONST_EDOC_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_READONLY_ACCESS_CODE SYSRES_CONST_EDOC_SHELL_LIFE_TYPE_VIEW_VALUE SYSRES_CONST_EDOC_SIZE_RESTRICTION_PRIORITY_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_CHECK_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_COMPUTER_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_DATABASE_\
+NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_EDIT_IN_STORAGE_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_LOCAL_PATH_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_SHARED_SOURCE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_EDOC_TYPES_REFERENCE_CODE SYSRES_CONST_EDOC_VERSION_ACTIVE_STAGE_CODE SYSRES_CONST_EDOC_VERSION_DESIGN_STAGE_CODE SYSRES_CONST_EDOC_VERSION_OBSOLETE_STAGE_CODE SYSRES_CONST_EDOC_WRITE_ACCES_CODE SYSRES_CONST_EDOCUMENT_CARD_REQUISITES_REFERENCE_CODE_SELECTE\
+D_REQUISITE SYSRES_CONST_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_END_DATE_REQUISITE_CODE SYSRES_CONST_ENUMERATION_TYPE_REQUISITE_CODE SYSRES_CONST_EXECUTE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_EXECUTIVE_FILE_STORAGE_TYPE SYSRES_CONST_EXIST_CONST SYSRES_CONST_EXIST_VALUE SYSRES_CONST_EXPORT_LOCK_TYPE_ASK SYSRES_CONST_EXPORT_LOCK_TYPE_WITH_LOCK SYSRES_CONST_EXPORT_LOCK_TYPE_WITHOUT_LOCK SYSRES_CONST_EXPORT_VERSION_TYPE_ASK SYSRES_CONST_EXPORT_VERSION_TYPE_LAST SYSRES_CONST_EXPORT_VERSION_TYPE_LAS\
+T_ACTIVE SYSRES_CONST_EXTENSION_REQUISITE_CODE SYSRES_CONST_FILTER_NAME_REQUISITE_CODE SYSRES_CONST_FILTER_REQUISITE_CODE SYSRES_CONST_FILTER_TYPE_COMMON_CODE SYSRES_CONST_FILTER_TYPE_COMMON_NAME SYSRES_CONST_FILTER_TYPE_USER_CODE SYSRES_CONST_FILTER_TYPE_USER_NAME SYSRES_CONST_FILTER_VALUE_REQUISITE_NAME SYSRES_CONST_FLOAT_NUMBER_FORMAT_CHAR SYSRES_CONST_FLOAT_REQUISITE_TYPE SYSRES_CONST_FOLDER_AUTHOR_VALUE SYSRES_CONST_FOLDER_KIND_ANY_OBJECTS SYSRES_CONST_FOLDER_KIND_COMPONENTS SYSRES_CONST_FO\
+LDER_KIND_EDOCS SYSRES_CONST_FOLDER_KIND_JOBS SYSRES_CONST_FOLDER_KIND_TASKS SYSRES_CONST_FOLDER_TYPE_COMMON SYSRES_CONST_FOLDER_TYPE_COMPONENT SYSRES_CONST_FOLDER_TYPE_FAVORITES SYSRES_CONST_FOLDER_TYPE_INBOX SYSRES_CONST_FOLDER_TYPE_OUTBOX SYSRES_CONST_FOLDER_TYPE_QUICK_LAUNCH SYSRES_CONST_FOLDER_TYPE_SEARCH SYSRES_CONST_FOLDER_TYPE_SHORTCUTS SYSRES_CONST_FOLDER_TYPE_USER SYSRES_CONST_FROM_DICTIONARY_ENUM_METHOD_FLAG SYSRES_CONST_FULL_SUBSTITUTE_TYPE SYSRES_CONST_FULL_SUBSTITUTE_TYPE_CODE SYSR\
+ES_CONST_FUNCTION_CANCEL_RESULT SYSRES_CONST_FUNCTION_CATEGORY_SYSTEM SYSRES_CONST_FUNCTION_CATEGORY_USER SYSRES_CONST_FUNCTION_FAILURE_RESULT SYSRES_CONST_FUNCTION_SAVE_RESULT SYSRES_CONST_GENERATED_REQUISITE SYSRES_CONST_GREEN_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_GROUP_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_NAME SYSRES_CONST_GROUP_CATEGORY_SERVICE_CODE SYSRES_CONST_GROUP_CATEGORY_SERVICE_NAME SYSRES_CONST_GROUP_COMMON_CATEGORY_FIE\
+LD_VALUE SYSRES_CONST_GROUP_FULL_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_CODES_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_SERVICE_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_USER_REQUISITE_CODE SYSRES_CONST_GROUPS_REFERENCE_CODE SYSRES_CONST_GROUPS_REQUISITE_CODE SYSRES_CONST_HIDDEN_MODE_NAME SYSRES_CONST_HIGH_LVL_REQUISITE_CODE SYSRES_CONST_HISTORY_ACTION_CREATE_CODE SYSRES_C\
+ONST_HISTORY_ACTION_DELETE_CODE SYSRES_CONST_HISTORY_ACTION_EDIT_CODE SYSRES_CONST_HOUR_CHAR SYSRES_CONST_ID_REQUISITE_CODE SYSRES_CONST_IDSPS_REQUISITE_CODE SYSRES_CONST_IMAGE_MODE_COLOR SYSRES_CONST_IMAGE_MODE_GREYSCALE SYSRES_CONST_IMAGE_MODE_MONOCHROME SYSRES_CONST_IMPORTANCE_HIGH SYSRES_CONST_IMPORTANCE_LOW SYSRES_CONST_IMPORTANCE_NORMAL SYSRES_CONST_IN_DESIGN_VERSION_STATE_PICK_VALUE SYSRES_CONST_INCOMING_WORK_RULE_TYPE_CODE SYSRES_CONST_INT_REQUISITE SYSRES_CONST_INT_REQUISITE_TYPE SYSRES\
+_CONST_INTEGER_NUMBER_FORMAT_CHAR SYSRES_CONST_INTEGER_TYPE_CHAR SYSRES_CONST_IS_GENERATED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_PUBLIC_ROLE_REQUISITE_CODE SYSRES_CONST_IS_REMOTE_USER_NEGATIVE_VALUE SYSRES_CONST_IS_REMOTE_USER_POSITIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_STORED_VALUE SYSRES_CONST_ITALIC_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_JOB_BLOCK_DESCRIPTION SYSRES_CONST_JOB_KIND_CONTROL_JOB SYSRES_CONST_JOB_KIND_JOB SYSRES_CONST_JOB_K\
+IND_NOTICE SYSRES_CONST_JOB_STATE_ABORTED SYSRES_CONST_JOB_STATE_COMPLETE SYSRES_CONST_JOB_STATE_WORKING SYSRES_CONST_KIND_REQUISITE_CODE SYSRES_CONST_KIND_REQUISITE_NAME SYSRES_CONST_KINDS_CREATE_SHADOW_COPIES_REQUISITE_CODE SYSRES_CONST_KINDS_DEFAULT_EDOC_LIFE_STAGE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALL_TEPLATES_ALLOWED_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_LIFE_CYCLE_STAGE_CHANGING_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_MULTIPLE_ACTIVE_VERSIONS_REQUISITE_CODE SYSRES_CONST_KI\
+NDS_EDOC_SHARE_ACCES_RIGHTS_BY_DEFAULT_CODE SYSRES_CONST_KINDS_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_TYPE_REQUISITE_CODE SYSRES_CONST_KINDS_SIGNERS_REQUISITES_CODE SYSRES_CONST_KOD_INPUT_TYPE SYSRES_CONST_LAST_UPDATE_DATE_REQUISITE_CODE SYSRES_CONST_LIFE_CYCLE_START_STAGE_REQUISITE_CODE SYSRES_CONST_LILAC_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_LINK_OBJECT_KIND_COMPONENT SYSRES_CONST_LINK_OBJECT_KIND_DOCUMENT SYSRES_CONST_LINK_OBJECT_KIND_EDOC SYSRES_CONST_LINK_OBJECT_KIND_FOLDER\
+ SYSRES_CONST_LINK_OBJECT_KIND_JOB SYSRES_CONST_LINK_OBJECT_KIND_REFERENCE SYSRES_CONST_LINK_OBJECT_KIND_TASK SYSRES_CONST_LINK_REF_TYPE_REQUISITE_CODE SYSRES_CONST_LIST_REFERENCE_MODE_NAME SYSRES_CONST_LOCALIZATION_DICTIONARY_MAIN_VIEW_CODE SYSRES_CONST_MAIN_VIEW_CODE SYSRES_CONST_MANUAL_ENUM_METHOD_FLAG SYSRES_CONST_MASTER_COMP_TYPE_REQUISITE_CODE SYSRES_CONST_MASTER_TABLE_REC_ID_REQUISITE_CODE SYSRES_CONST_MAXIMIZED_MODE_NAME SYSRES_CONST_ME_VALUE SYSRES_CONST_MESSAGE_ATTENTION_CAPTION SYSRES\
+_CONST_MESSAGE_CONFIRMATION_CAPTION SYSRES_CONST_MESSAGE_ERROR_CAPTION SYSRES_CONST_MESSAGE_INFORMATION_CAPTION SYSRES_CONST_MINIMIZED_MODE_NAME SYSRES_CONST_MINUTE_CHAR SYSRES_CONST_MODULE_REQUISITE_CODE SYSRES_CONST_MONITORING_BLOCK_DESCRIPTION SYSRES_CONST_MONTH_FORMAT_VALUE SYSRES_CONST_NAME_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_NAME_REQUISITE_CODE SYSRES_CONST_NAME_SINGULAR_REQUISITE_CODE SYSRES_CONST_NAMEAN_INPUT_TYPE SYSRES_CONST_NEGATIVE_PICK_VALUE SYSRES_CONST_NEGATIVE_VALUE SYSRES_CO\
+NST_NO SYSRES_CONST_NO_PICK_VALUE SYSRES_CONST_NO_SIGNATURE_REQUISITE_CODE SYSRES_CONST_NO_VALUE SYSRES_CONST_NONE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_NORMAL_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NORMAL_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_NORMAL_MODE_NAME SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_NOTE_REQUISITE_CODE SYSRES_CONST_NOTICE_BLOC\
+K_DESCRIPTION SYSRES_CONST_NUM_REQUISITE SYSRES_CONST_NUM_STR_REQUISITE_CODE SYSRES_CONST_NUMERATION_AUTO_NOT_STRONG SYSRES_CONST_NUMERATION_AUTO_STRONG SYSRES_CONST_NUMERATION_FROM_DICTONARY SYSRES_CONST_NUMERATION_MANUAL SYSRES_CONST_NUMERIC_TYPE_CHAR SYSRES_CONST_NUMREQ_REQUISITE_CODE SYSRES_CONST_OBSOLETE_VERSION_STATE_PICK_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_OPERATING_RECO\
+RD_FLAG_VALUE_MASCULINE SYSRES_CONST_OPTIONAL_FORM_COMP_REQCODE_PREFIX SYSRES_CONST_ORANGE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_ORIGINALREF_REQUISITE_CODE SYSRES_CONST_OURFIRM_REF_CODE SYSRES_CONST_OURFIRM_REQUISITE_CODE SYSRES_CONST_OURFIRM_VAR SYSRES_CONST_OUTGOING_WORK_RULE_TYPE_CODE SYSRES_CONST_PICK_NEGATIVE_RESULT SYSRES_CONST_PICK_POSITIVE_RESULT SYSRES_CONST_PICK_REQUISITE SYSRES_CONST_PICK_REQUISITE_TYPE SYSRES_CONST_PICK_TYPE_CHAR SYSRES_CONST_PLAN_STATUS_REQUISITE_CODE SYSRES_CONS\
+T_PLATFORM_VERSION_COMMENT SYSRES_CONST_PLUGINS_SETTINGS_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_POSITIVE_PICK_VALUE SYSRES_CONST_POWER_TO_CREATE_ACTION_CODE SYSRES_CONST_POWER_TO_SIGN_ACTION_CODE SYSRES_CONST_PRIORITY_REQUISITE_CODE SYSRES_CONST_QUALIFIED_TASK_TYPE SYSRES_CONST_QUALIFIED_TASK_TYPE_CODE SYSRES_CONST_RECSTAT_REQUISITE_CODE SYSRES_CONST_RED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_REF_ID_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_REF_REQUISITE SYSRES_CONST_REF_REQUISITE_TYPE SYSRES_CO\
+NST_REF_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_REFERENCE_RECORD_HISTORY_CREATE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_DELETE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_MODIFY_ACTION_CODE SYSRES_CONST_REFERENCE_TYPE_CHAR SYSRES_CONST_REFERENCE_TYPE_REQUISITE_NAME SYSRES_CONST_REFERENCES_ADD_PARAMS_REQUISITE_CODE SYSRES_CONST_REFERENCES_DISPLAY_REQUISITE_REQUISITE_CODE SYSRES_CONST_REMOTE_SERVER_STATUS_WORKING SYSRES_CONST_REMOTE_SERVER_TYPE_MAIN SYSRES_CONST_R\
+EMOTE_SERVER_TYPE_SECONDARY SYSRES_CONST_REMOTE_USER_FLAG_VALUE_CODE SYSRES_CONST_REPORT_APP_EDITOR_INTERNAL SYSRES_CONST_REPORT_BASE_REPORT_ID_REQUISITE_CODE SYSRES_CONST_REPORT_BASE_REPORT_REQUISITE_CODE SYSRES_CONST_REPORT_SCRIPT_REQUISITE_CODE SYSRES_CONST_REPORT_TEMPLATE_REQUISITE_CODE SYSRES_CONST_REPORT_VIEWER_CODE_REQUISITE_CODE SYSRES_CONST_REQ_ALLOW_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_RECORD_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_SERVER_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ\
+_MODE_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_EDIT_CODE SYSRES_CONST_REQ_MODE_HIDDEN_CODE SYSRES_CONST_REQ_MODE_NOT_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_VIEW_CODE SYSRES_CONST_REQ_NUMBER_REQUISITE_CODE SYSRES_CONST_REQ_SECTION_VALUE SYSRES_CONST_REQ_TYPE_VALUE SYSRES_CONST_REQUISITE_FORMAT_BY_UNIT SYSRES_CONST_REQUISITE_FORMAT_DATE_FULL SYSRES_CONST_REQUISITE_FORMAT_DATE_TIME SYSRES_CONST_REQUISITE_FORMAT_LEFT SYSRES_CONST_REQUISITE_FORMAT_RIGHT SYSRES_CONST_REQUISITE_FORMAT_WITHOUT_UNIT SYSRES_CON\
+ST_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_REQUISITE_SECTION_ACTIONS SYSRES_CONST_REQUISITE_SECTION_BUTTON SYSRES_CONST_REQUISITE_SECTION_BUTTONS SYSRES_CONST_REQUISITE_SECTION_CARD SYSRES_CONST_REQUISITE_SECTION_TABLE SYSRES_CONST_REQUISITE_SECTION_TABLE10 SYSRES_CONST_REQUISITE_SECTION_TABLE11 SYSRES_CONST_REQUISITE_SECTION_TABLE12 SYSRES_CONST_REQUISITE_SECTION_TABLE13 SYSRES_CONST_REQUISITE_SECTION_TABLE14 SYSRES_CONST_REQUISITE_SECTION_TABLE15 SYSRES_CONST_REQUISITE_SECTION_TABLE16 SYS\
+RES_CONST_REQUISITE_SECTION_TABLE17 SYSRES_CONST_REQUISITE_SECTION_TABLE18 SYSRES_CONST_REQUISITE_SECTION_TABLE19 SYSRES_CONST_REQUISITE_SECTION_TABLE2 SYSRES_CONST_REQUISITE_SECTION_TABLE20 SYSRES_CONST_REQUISITE_SECTION_TABLE21 SYSRES_CONST_REQUISITE_SECTION_TABLE22 SYSRES_CONST_REQUISITE_SECTION_TABLE23 SYSRES_CONST_REQUISITE_SECTION_TABLE24 SYSRES_CONST_REQUISITE_SECTION_TABLE3 SYSRES_CONST_REQUISITE_SECTION_TABLE4 SYSRES_CONST_REQUISITE_SECTION_TABLE5 SYSRES_CONST_REQUISITE_SECTION_TABLE6 S\
+YSRES_CONST_REQUISITE_SECTION_TABLE7 SYSRES_CONST_REQUISITE_SECTION_TABLE8 SYSRES_CONST_REQUISITE_SECTION_TABLE9 SYSRES_CONST_REQUISITES_PSEUDOREFERENCE_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_RIGHT_ALIGNMENT_CODE SYSRES_CONST_ROLES_REFERENCE_CODE SYSRES_CONST_ROUTE_STEP_AFTER_RUS SYSRES_CONST_ROUTE_STEP_AND_CONDITION_RUS SYSRES_CONST_ROUTE_STEP_OR_CONDITION_RUS SYSRES_CONST_ROUTE_TYPE_COMPLEX SYSRES_CONST_ROUTE_TYPE_PARALLEL SYSRES_CONST_ROUTE_TYPE_SERIAL SYSRES_CONST_SBDATASETDESC_NEGATIV\
+E_VALUE SYSRES_CONST_SBDATASETDESC_POSITIVE_VALUE SYSRES_CONST_SBVIEWSDESC_POSITIVE_VALUE SYSRES_CONST_SCRIPT_BLOCK_DESCRIPTION SYSRES_CONST_SEARCH_BY_TEXT_REQUISITE_CODE SYSRES_CONST_SEARCHES_COMPONENT_CONTENT SYSRES_CONST_SEARCHES_CRITERIA_ACTION_NAME SYSRES_CONST_SEARCHES_EDOC_CONTENT SYSRES_CONST_SEARCHES_FOLDER_CONTENT SYSRES_CONST_SEARCHES_JOB_CONTENT SYSRES_CONST_SEARCHES_REFERENCE_CODE SYSRES_CONST_SEARCHES_TASK_CONTENT SYSRES_CONST_SECOND_CHAR SYSRES_CONST_SECTION_REQUISITE_ACTIONS_VALU\
+E SYSRES_CONST_SECTION_REQUISITE_CARD_VALUE SYSRES_CONST_SECTION_REQUISITE_CODE SYSRES_CONST_SECTION_REQUISITE_DETAIL_1_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_2_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_3_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_4_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_5_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_6_VALUE SYSRES_CONST_SELECT_REFERENCE_MODE_NAME SYSRES_CONST_SELECT_TYPE_SELECTABLE SYSRES_CONST_SELECT_TYPE_SELECTABLE_ONLY_CHILD SYSRES_CONST_SELECT_T\
+YPE_SELECTABLE_WITH_CHILD SYSRES_CONST_SELECT_TYPE_UNSLECTABLE SYSRES_CONST_SERVER_TYPE_MAIN SYSRES_CONST_SERVICE_USER_CATEGORY_FIELD_VALUE SYSRES_CONST_SETTINGS_USER_REQUISITE_CODE SYSRES_CONST_SIGNATURE_AND_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SIGNATURE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SINGULAR_TITLE_REQUISITE_CODE SYSRES_CONST_SQL_SERVER_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_SQL_SERVER_ENCODE_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_CODE SYSRES_CON\
+ST_STANDART_ROUTE_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_STANDART_ROUTES_GROUPS_REFERENCE_CODE SYSRES_CONST_STATE_REQ_NAME SYSRES_CONST_STATE_REQUISITE_ACTIVE_VALUE SYSRES_CONST_STATE_REQUISITE_CLOSED_VALUE SYSRES_CONST_STATE_REQUISITE_CODE SYSRES_CONST_STATIC_ROLE_TYPE_CODE SYSRES_CONST_STATUS_PLAN_DEFAULT_VALUE SYSRES_CONST_STATUS_VALUE_AUTOCLEANING SYSRES_CONST_STATUS_VALUE_BLUE_SQUARE SYSRES_CONST_STATUS_VALUE_COMPLETE SYSRES_CONST_STATUS_VALUE_GREEN_SQUARE SYSRES_CONST_STATUS_VALUE_O\
+RANGE_SQUARE SYSRES_CONST_STATUS_VALUE_PURPLE_SQUARE SYSRES_CONST_STATUS_VALUE_RED_SQUARE SYSRES_CONST_STATUS_VALUE_SUSPEND SYSRES_CONST_STATUS_VALUE_YELLOW_SQUARE SYSRES_CONST_STDROUTE_SHOW_TO_USERS_REQUISITE_CODE SYSRES_CONST_STORAGE_TYPE_FILE SYSRES_CONST_STORAGE_TYPE_SQL_SERVER SYSRES_CONST_STR_REQUISITE SYSRES_CONST_STRIKEOUT_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_STRING_FORMAT_LEFT_ALIGN_CHAR SYSRES_CONST_STRING_FORMAT_RIGHT_ALIGN_CHAR SYSRES_CONST_STRING_REQUISITE_CODE SYSRES_CONST_STRI\
+NG_REQUISITE_TYPE SYSRES_CONST_STRING_TYPE_CHAR SYSRES_CONST_SUBSTITUTES_PSEUDOREFERENCE_CODE SYSRES_CONST_SUBTASK_BLOCK_DESCRIPTION SYSRES_CONST_SYSTEM_SETTING_CURRENT_USER_PARAM_VALUE SYSRES_CONST_SYSTEM_SETTING_EMPTY_VALUE_PARAM_VALUE SYSRES_CONST_SYSTEM_VERSION_COMMENT SYSRES_CONST_TASK_ACCESS_TYPE_ALL SYSRES_CONST_TASK_ACCESS_TYPE_ALL_MEMBERS SYSRES_CONST_TASK_ACCESS_TYPE_MANUAL SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION_AND_PASSWORD SYSRES_CONST\
+_TASK_ENCODE_TYPE_NONE SYSRES_CONST_TASK_ENCODE_TYPE_PASSWORD SYSRES_CONST_TASK_ROUTE_ALL_CONDITION SYSRES_CONST_TASK_ROUTE_AND_CONDITION SYSRES_CONST_TASK_ROUTE_OR_CONDITION SYSRES_CONST_TASK_STATE_ABORTED SYSRES_CONST_TASK_STATE_COMPLETE SYSRES_CONST_TASK_STATE_CONTINUED SYSRES_CONST_TASK_STATE_CONTROL SYSRES_CONST_TASK_STATE_INIT SYSRES_CONST_TASK_STATE_WORKING SYSRES_CONST_TASK_TITLE SYSRES_CONST_TASK_TYPES_GROUPS_REFERENCE_CODE SYSRES_CONST_TASK_TYPES_REFERENCE_CODE SYSRES_CONST_TEMPLATES_R\
+EFERENCE_CODE SYSRES_CONST_TEST_DATE_REQUISITE_NAME SYSRES_CONST_TEST_DEV_DATABASE_NAME SYSRES_CONST_TEST_DEV_SYSTEM_CODE SYSRES_CONST_TEST_EDMS_DATABASE_NAME SYSRES_CONST_TEST_EDMS_MAIN_CODE SYSRES_CONST_TEST_EDMS_MAIN_DB_NAME SYSRES_CONST_TEST_EDMS_SECOND_CODE SYSRES_CONST_TEST_EDMS_SECOND_DB_NAME SYSRES_CONST_TEST_EDMS_SYSTEM_CODE SYSRES_CONST_TEST_NUMERIC_REQUISITE_NAME SYSRES_CONST_TEXT_REQUISITE SYSRES_CONST_TEXT_REQUISITE_CODE SYSRES_CONST_TEXT_REQUISITE_TYPE SYSRES_CONST_TEXT_TYPE_CHAR S\
+YSRES_CONST_TYPE_CODE_REQUISITE_CODE SYSRES_CONST_TYPE_REQUISITE_CODE SYSRES_CONST_UNDEFINED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_UNITS_SECTION_ID_REQUISITE_CODE SYSRES_CONST_UNITS_SECTION_REQUISITE_CODE SYSRES_CONST_UNOPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_NAME SYSRES_CONST_USE_ACCESS_TYPE_CODE SYSRES_CONST_USE_ACCESS_TYPE_NAME SYSRES_CONST_USER_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_USER_ADDITIONAL_INFORMATION_REQUISITE\
+_CODE SYSRES_CONST_USER_AND_GROUP_ID_FROM_PSEUDOREFERENCE_REQUISITE_CODE SYSRES_CONST_USER_CATEGORY_NORMAL SYSRES_CONST_USER_CERTIFICATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_STATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_SUBJECT_NAME_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_THUMBPRINT_REQUISITE_CODE SYSRES_CONST_USER_COMMON_CATEGORY SYSRES_CONST_USER_COMMON_CATEGORY_CODE SYSRES_CONST_USER_FULL_NAME_REQUISITE_CODE SYSRES_CONST_USER_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_USER_LOGIN\
+_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_SYSTEM_REQUISITE_CODE SYSRES_CONST_USER_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_USER_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_USER_SERVICE_CATEGORY SYSRES_CONST_USER_SERVICE_CATEGORY_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_NAME SYSRES_CONST_USER_STATUS_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_DEVELOPER_NAME SYSRES_CONST_USER_STATUS_DISABLED_CODE SYSRES_CONST_USER\
+_STATUS_DISABLED_NAME SYSRES_CONST_USER_STATUS_SYSTEM_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_USER_CODE SYSRES_CONST_USER_STATUS_USER_NAME SYSRES_CONST_USER_STATUS_USER_NAME_DEPRECATED SYSRES_CONST_USER_TYPE_FIELD_VALUE_USER SYSRES_CONST_USER_TYPE_REQUISITE_CODE SYSRES_CONST_USERS_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USERS_IS_MAIN_SERVER_REQUISITE_CODE SYSRES_CONST_USERS_REFERENCE_CODE SYSRES_CONST_USERS_REGISTRATION_CERTIFICATES_ACTION_NAME SYSRES_CONST_USERS_REQUISITE_CODE SYSRES_CONST_USERS\
+_SYSTEM_REQUISITE_CODE SYSRES_CONST_USERS_USER_ACCESS_RIGHTS_TYPR_REQUISITE_CODE SYSRES_CONST_USERS_USER_AUTHENTICATION_REQUISITE_CODE SYSRES_CONST_USERS_USER_COMPONENT_REQUISITE_CODE SYSRES_CONST_USERS_USER_GROUP_REQUISITE_CODE SYSRES_CONST_USERS_VIEW_CERTIFICATES_ACTION_NAME SYSRES_CONST_VIEW_DEFAULT_CODE SYSRES_CONST_VIEW_DEFAULT_NAME SYSRES_CONST_VIEWER_REQUISITE_CODE SYSRES_CONST_WAITING_BLOCK_DESCRIPTION SYSRES_CONST_WIZARD_FORM_LABEL_TEST_STRING  SYSRES_CONST_WIZARD_QUERY_PARAM_HEIGHT_ETA\
+LON_STRING SYSRES_CONST_WIZARD_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_WORK_RULES_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_WORK_TIME_CALENDAR_REFERENCE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORK_WORKFLOW_SOFT_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORKFLOW_ROUTE_TYPR_HARD SYSRES_CONST_WORKFLOW_ROUTE_TYPR_SOFT SYSRES_CONST_XML_ENCODING SYSRES_CONST_XREC\
+_STAT_REQUISITE_CODE SYSRES_CONST_XRECID_FIELD_NAME SYSRES_CONST_YES SYSRES_CONST_YES_NO_2_REQUISITE_CODE SYSRES_CONST_YES_NO_REQUISITE_CODE SYSRES_CONST_YES_NO_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_YES_PICK_VALUE SYSRES_CONST_YES_VALUE "+"CR FALSE nil NO_VALUE NULL TAB TRUE YES_VALUE "+"ADMINISTRATORS_GROUP_NAME CUSTOMIZERS_GROUP_NAME DEVELOPERS_GROUP_NAME SERVICE_USERS_GROUP_NAME "+"DECISION_BLOCK_FIRST_OPERAND_PROPERTY DECISION_BLOCK_NAME_PROPERTY DECISION_BLOCK_OPERATION_PROPERTY DECISION_B\
+LOCK_RESULT_TYPE_PROPERTY DECISION_BLOCK_SECOND_OPERAND_PROPERTY "+"ANY_FILE_EXTENTION COMPRESSED_DOCUMENT_EXTENSION EXTENDED_DOCUMENT_EXTENSION SHORT_COMPRESSED_DOCUMENT_EXTENSION SHORT_EXTENDED_DOCUMENT_EXTENSION "+"JOB_BLOCK_ABORT_DEADLINE_PROPERTY JOB_BLOCK_AFTER_FINISH_EVENT JOB_BLOCK_AFTER_QUERY_PARAMETERS_EVENT JOB_BLOCK_ATTACHMENT_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY JOB_BLOCK_BEFORE_QUERY_PARAMETERS_EVENT JOB_BLOCK_BEFORE_START_\
+EVENT JOB_BLOCK_CREATED_JOBS_PROPERTY JOB_BLOCK_DEADLINE_PROPERTY JOB_BLOCK_EXECUTION_RESULTS_PROPERTY JOB_BLOCK_IS_PARALLEL_PROPERTY JOB_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY JOB_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY JOB_BLOCK_JOB_TEXT_PROPERTY JOB_BLOCK_NAME_PROPERTY JOB_BLOCK_NEED_SIGN_ON_PERFORM_PROPERTY JOB_BLOCK_PERFORMER_PROPERTY JOB_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY JOB_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY JOB_BLOCK_SUBJECT_PROPERTY "+"ENGLISH_LANGUAGE_CODE RUSSIAN_LANGUAGE_\
+CODE "+"smHidden smMaximized smMinimized smNormal wmNo wmYes "+"COMPONENT_TOKEN_LINK_KIND DOCUMENT_LINK_KIND EDOCUMENT_LINK_KIND FOLDER_LINK_KIND JOB_LINK_KIND REFERENCE_LINK_KIND TASK_LINK_KIND "+"COMPONENT_TOKEN_LOCK_TYPE EDOCUMENT_VERSION_LOCK_TYPE "+"MONITOR_BLOCK_AFTER_FINISH_EVENT MONITOR_BLOCK_BEFORE_START_EVENT MONITOR_BLOCK_DEADLINE_PROPERTY MONITOR_BLOCK_INTERVAL_PROPERTY MONITOR_BLOCK_INTERVAL_TYPE_PROPERTY MONITOR_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY MONITOR_BLOCK_NAME_PROPERTY MONITO\
+R_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY MONITOR_BLOCK_SEARCH_SCRIPT_PROPERTY "+"NOTICE_BLOCK_AFTER_FINISH_EVENT NOTICE_BLOCK_ATTACHMENT_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY NOTICE_BLOCK_BEFORE_START_EVENT NOTICE_BLOCK_CREATED_NOTICES_PROPERTY NOTICE_BLOCK_DEADLINE_PROPERTY NOTICE_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY NOTICE_BLOCK_NAME_PROPERTY NOTICE_BLOCK_NOTICE_TEXT_PROPERTY NOTICE_BLOCK_PERFORMER_PROPERTY NOTICE_BLOCK_RELATIVE_DEA\
+DLINE_TYPE_PROPERTY NOTICE_BLOCK_SUBJECT_PROPERTY "+"dseAfterCancel dseAfterClose dseAfterDelete dseAfterDeleteOutOfTransaction dseAfterInsert dseAfterOpen dseAfterScroll dseAfterUpdate dseAfterUpdateOutOfTransaction dseBeforeCancel dseBeforeClose dseBeforeDelete dseBeforeDetailUpdate dseBeforeInsert dseBeforeOpen dseBeforeUpdate dseOnAnyRequisiteChange dseOnCloseRecord dseOnDeleteError dseOnOpenRecord dseOnPrepareUpdate dseOnUpdateError dseOnUpdateRatifiedRecord dseOnValidDelete dseOnValidUpdat\
+e reOnChange reOnChangeValues SELECTION_BEGIN_ROUTE_EVENT SELECTION_END_ROUTE_EVENT "+"CURRENT_PERIOD_IS_REQUIRED PREVIOUS_CARD_TYPE_NAME SHOW_RECORD_PROPERTIES_FORM "+"ACCESS_RIGHTS_SETTING_DIALOG_CODE ADMINISTRATOR_USER_CODE ANALYTIC_REPORT_TYPE asrtHideLocal asrtHideRemote CALCULATED_ROLE_TYPE_CODE COMPONENTS_REFERENCE_DEVELOPER_VIEW_CODE DCTS_TEST_PROTOCOLS_FOLDER_PATH E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED_BY_USER E_EDOC_VERSION_ALREDY_SIGNED E_E\
+DOC_VERSION_ALREDY_SIGNED_BY_USER EDOC_TYPES_CODE_REQUISITE_FIELD_NAME EDOCUMENTS_ALIAS_NAME FILES_FOLDER_PATH FILTER_OPERANDS_DELIMITER FILTER_OPERATIONS_DELIMITER FORMCARD_NAME FORMLIST_NAME GET_EXTENDED_DOCUMENT_EXTENSION_CREATION_MODE GET_EXTENDED_DOCUMENT_EXTENSION_IMPORT_MODE INTEGRATED_REPORT_TYPE IS_BUILDER_APPLICATION_ROLE IS_BUILDER_APPLICATION_ROLE2 IS_BUILDER_USERS ISBSYSDEV LOG_FOLDER_PATH mbCancel mbNo mbNoToAll mbOK mbYes mbYesToAll MEMORY_DATASET_DESRIPTIONS_FILENAME mrNo mrNoToA\
+ll mrYes mrYesToAll MULTIPLE_SELECT_DIALOG_CODE NONOPERATING_RECORD_FLAG_FEMININE NONOPERATING_RECORD_FLAG_MASCULINE OPERATING_RECORD_FLAG_FEMININE OPERATING_RECORD_FLAG_MASCULINE PROFILING_SETTINGS_COMMON_SETTINGS_CODE_VALUE PROGRAM_INITIATED_LOOKUP_ACTION ratDelete ratEdit ratInsert REPORT_TYPE REQUIRED_PICK_VALUES_VARIABLE rmCard rmList SBRTE_PROGID_DEV SBRTE_PROGID_RELEASE STATIC_ROLE_TYPE_CODE SUPPRESS_EMPTY_TEMPLATE_CREATION SYSTEM_USER_CODE UPDATE_DIALOG_DATASET USED_IN_OBJECT_HINT_PARAM \
+USER_INITIATED_LOOKUP_ACTION USER_NAME_FORMAT USER_SELECTION_RESTRICTIONS WORKFLOW_TEST_PROTOCOLS_FOLDER_PATH ELS_SUBTYPE_CONTROL_NAME ELS_FOLDER_KIND_CONTROL_NAME REPEAT_PROCESS_CURRENT_OBJECT_EXCEPTION_NAME "+"PRIVILEGE_COMPONENT_FULL_ACCESS PRIVILEGE_DEVELOPMENT_EXPORT PRIVILEGE_DEVELOPMENT_IMPORT PRIVILEGE_DOCUMENT_DELETE PRIVILEGE_ESD PRIVILEGE_FOLDER_DELETE PRIVILEGE_MANAGE_ACCESS_RIGHTS PRIVILEGE_MANAGE_REPLICATION PRIVILEGE_MANAGE_SESSION_SERVER PRIVILEGE_OBJECT_FULL_ACCESS PRIVILEGE_OBJ\
+ECT_VIEW PRIVILEGE_RESERVE_LICENSE PRIVILEGE_SYSTEM_CUSTOMIZE PRIVILEGE_SYSTEM_DEVELOP PRIVILEGE_SYSTEM_INSTALL PRIVILEGE_TASK_DELETE PRIVILEGE_USER_PLUGIN_SETTINGS_CUSTOMIZE PRIVILEGES_PSEUDOREFERENCE_CODE "+"ACCESS_TYPES_PSEUDOREFERENCE_CODE ALL_AVAILABLE_COMPONENTS_PSEUDOREFERENCE_CODE ALL_AVAILABLE_PRIVILEGES_PSEUDOREFERENCE_CODE ALL_REPLICATE_COMPONENTS_PSEUDOREFERENCE_CODE AVAILABLE_DEVELOPERS_COMPONENTS_PSEUDOREFERENCE_CODE COMPONENTS_PSEUDOREFERENCE_CODE FILTRATER_SETTINGS_CONFLICTS_PSEU\
+DOREFERENCE_CODE GROUPS_PSEUDOREFERENCE_CODE RECEIVE_PROTOCOL_PSEUDOREFERENCE_CODE REFERENCE_REQUISITE_PSEUDOREFERENCE_CODE REFERENCE_REQUISITES_PSEUDOREFERENCE_CODE REFTYPES_PSEUDOREFERENCE_CODE REPLICATION_SEANCES_DIARY_PSEUDOREFERENCE_CODE SEND_PROTOCOL_PSEUDOREFERENCE_CODE SUBSTITUTES_PSEUDOREFERENCE_CODE SYSTEM_SETTINGS_PSEUDOREFERENCE_CODE UNITS_PSEUDOREFERENCE_CODE USERS_PSEUDOREFERENCE_CODE VIEWERS_PSEUDOREFERENCE_CODE "+"CERTIFICATE_TYPE_ENCRYPT CERTIFICATE_TYPE_SIGN CERTIFICATE_TYPE_SI\
+GN_AND_ENCRYPT "+"STORAGE_TYPE_FILE STORAGE_TYPE_NAS_CIFS STORAGE_TYPE_SAPERION STORAGE_TYPE_SQL_SERVER "+"COMPTYPE2_REQUISITE_DOCUMENTS_VALUE COMPTYPE2_REQUISITE_TASKS_VALUE COMPTYPE2_REQUISITE_FOLDERS_VALUE COMPTYPE2_REQUISITE_REFERENCES_VALUE "+"SYSREQ_CODE SYSREQ_COMPTYPE2 SYSREQ_CONST_AVAILABLE_FOR_WEB SYSREQ_CONST_COMMON_CODE SYSREQ_CONST_COMMON_VALUE SYSREQ_CONST_FIRM_CODE SYSREQ_CONST_FIRM_STATUS SYSREQ_CONST_FIRM_VALUE SYSREQ_CONST_SERVER_STATUS SYSREQ_CONTENTS SYSREQ_DATE_OPEN SYSREQ_D\
+ATE_CLOSE SYSREQ_DESCRIPTION SYSREQ_DESCRIPTION_LOCALIZE_ID SYSREQ_DOUBLE SYSREQ_EDOC_ACCESS_TYPE SYSREQ_EDOC_AUTHOR SYSREQ_EDOC_CREATED SYSREQ_EDOC_DELEGATE_RIGHTS_REQUISITE_CODE SYSREQ_EDOC_EDITOR SYSREQ_EDOC_ENCODE_TYPE SYSREQ_EDOC_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_EXPORT_DATE SYSREQ_EDOC_EXPORTER SYSREQ_EDOC_KIND SYSREQ_EDOC_LIFE_STAGE_NAME SYSREQ_EDOC_LOCKED_FOR_SERVER_CODE SYSREQ_EDOC_MODIFIED SYSREQ_EDOC_NAME SYSREQ_EDOC_NOTE SYSREQ_EDOC_QUALIFIED_ID\
+ SYSREQ_EDOC_SESSION_KEY SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_SIGNATURE_TYPE SYSREQ_EDOC_SIGNED SYSREQ_EDOC_STORAGE SYSREQ_EDOC_STORAGES_ARCHIVE_STORAGE SYSREQ_EDOC_STORAGES_CHECK_RIGHTS SYSREQ_EDOC_STORAGES_COMPUTER_NAME SYSREQ_EDOC_STORAGES_EDIT_IN_STORAGE SYSREQ_EDOC_STORAGES_EXECUTIVE_STORAGE SYSREQ_EDOC_STORAGES_FUNCTION SYSREQ_EDOC_STORAGES_INITIALIZED SYSREQ_EDOC_STORAGES_LOCAL_PATH SYSREQ_EDOC_STORAGES_SAPERION_DATAB\
+ASE_NAME SYSREQ_EDOC_STORAGES_SEARCH_BY_TEXT SYSREQ_EDOC_STORAGES_SERVER_NAME SYSREQ_EDOC_STORAGES_SHARED_SOURCE_NAME SYSREQ_EDOC_STORAGES_TYPE SYSREQ_EDOC_TEXT_MODIFIED SYSREQ_EDOC_TYPE_ACT_CODE SYSREQ_EDOC_TYPE_ACT_DESCRIPTION SYSREQ_EDOC_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_EDOC_TYPE_ACT_SECTION SYSREQ_EDOC_TYPE_ADD_PARAMS SYSREQ_EDOC_TYPE_COMMENT SYSREQ_EDOC_TYPE_EVENT_TEXT SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR SYSREQ_EDOC\
+_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_EDOC_TYPE_NAME_LOCALIZE_ID SYSREQ_EDOC_TYPE_NUMERATION_METHOD SYSREQ_EDOC_TYPE_PSEUDO_REQUISITE_CODE SYSREQ_EDOC_TYPE_REQ_CODE SYSREQ_EDOC_TYPE_REQ_DESCRIPTION SYSREQ_EDOC_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_REQ_IS_LEADING SYSREQ_EDOC_TYPE_REQ_IS_REQUIRED SYSREQ_EDOC_TYPE_REQ_NUMBER SYSREQ_EDOC_TYPE_REQ_ON_CHANGE SYSREQ_EDOC_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_EDOC_TYPE_REQ_ON_SELECT SYSREQ_EDOC_TYPE_REQ_ON_SELECT_KIND SYSREQ_EDOC_TYPE_REQ_SEC\
+TION SYSREQ_EDOC_TYPE_VIEW_CARD SYSREQ_EDOC_TYPE_VIEW_CODE SYSREQ_EDOC_TYPE_VIEW_COMMENT SYSREQ_EDOC_TYPE_VIEW_IS_MAIN SYSREQ_EDOC_TYPE_VIEW_NAME SYSREQ_EDOC_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_EDOC_VERSION_AUTHOR SYSREQ_EDOC_VERSION_CRC SYSREQ_EDOC_VERSION_DATA SYSREQ_EDOC_VERSION_EDITOR SYSREQ_EDOC_VERSION_EXPORT_DATE SYSREQ_EDOC_VERSION_EXPORTER SYSREQ_EDOC_VERSION_HIDDEN SYSREQ_EDOC_VERSION_LIFE_STAGE SYSREQ_EDOC_VERSION_MODIFIED SYSREQ_EDOC_VERSION_NOTE SYSREQ_EDOC_VERSION_SIGNATURE_TYPE SYSR\
+EQ_EDOC_VERSION_SIGNED SYSREQ_EDOC_VERSION_SIZE SYSREQ_EDOC_VERSION_SOURCE SYSREQ_EDOC_VERSION_TEXT_MODIFIED SYSREQ_EDOCKIND_DEFAULT_VERSION_STATE_CODE SYSREQ_FOLDER_KIND SYSREQ_FUNC_CATEGORY SYSREQ_FUNC_COMMENT SYSREQ_FUNC_GROUP SYSREQ_FUNC_GROUP_COMMENT SYSREQ_FUNC_GROUP_NUMBER SYSREQ_FUNC_HELP SYSREQ_FUNC_PARAM_DEF_VALUE SYSREQ_FUNC_PARAM_IDENT SYSREQ_FUNC_PARAM_NUMBER SYSREQ_FUNC_PARAM_TYPE SYSREQ_FUNC_TEXT SYSREQ_GROUP_CATEGORY SYSREQ_ID SYSREQ_LAST_UPDATE SYSREQ_LEADER_REFERENCE SYSREQ_LIN\
+E_NUMBER SYSREQ_MAIN_RECORD_ID SYSREQ_NAME SYSREQ_NAME_LOCALIZE_ID SYSREQ_NOTE SYSREQ_ORIGINAL_RECORD SYSREQ_OUR_FIRM SYSREQ_PROFILING_SETTINGS_BATCH_LOGING SYSREQ_PROFILING_SETTINGS_BATCH_SIZE SYSREQ_PROFILING_SETTINGS_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_SQL_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_START_LOGGED SYSREQ_RECORD_STATUS SYSREQ_REF_REQ_FIELD_NAME SYSREQ_REF_REQ_FORMAT SYSREQ_REF_REQ_GENERATED SYSREQ_REF_REQ_LENGTH SYSREQ_REF_REQ_PRECISION SYSREQ_REF_REQ_REFERENCE SYSREQ_RE\
+F_REQ_SECTION SYSREQ_REF_REQ_STORED SYSREQ_REF_REQ_TOKENS SYSREQ_REF_REQ_TYPE SYSREQ_REF_REQ_VIEW SYSREQ_REF_TYPE_ACT_CODE SYSREQ_REF_TYPE_ACT_DESCRIPTION SYSREQ_REF_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_ACT_ON_EXECUTE SYSREQ_REF_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_REF_TYPE_ACT_SECTION SYSREQ_REF_TYPE_ADD_PARAMS SYSREQ_REF_TYPE_COMMENT SYSREQ_REF_TYPE_COMMON_SETTINGS SYSREQ_REF_TYPE_DISPLAY_REQUISITE_NAME SYSREQ_REF_TYPE_EVENT_TEXT SYSREQ_REF_TYPE_MAIN_LEADING_REF SYSREQ_REF_TYPE_NAME_I\
+N_SINGULAR SYSREQ_REF_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_REF_TYPE_NAME_LOCALIZE_ID SYSREQ_REF_TYPE_NUMERATION_METHOD SYSREQ_REF_TYPE_REQ_CODE SYSREQ_REF_TYPE_REQ_DESCRIPTION SYSREQ_REF_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_REQ_IS_CONTROL SYSREQ_REF_TYPE_REQ_IS_FILTER SYSREQ_REF_TYPE_REQ_IS_LEADING SYSREQ_REF_TYPE_REQ_IS_REQUIRED SYSREQ_REF_TYPE_REQ_NUMBER SYSREQ_REF_TYPE_REQ_ON_CHANGE SYSREQ_REF_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_REF_TYPE_REQ_ON_SELECT SYSREQ_REF_TYPE_REQ_ON_SELEC\
+T_KIND SYSREQ_REF_TYPE_REQ_SECTION SYSREQ_REF_TYPE_VIEW_CARD SYSREQ_REF_TYPE_VIEW_CODE SYSREQ_REF_TYPE_VIEW_COMMENT SYSREQ_REF_TYPE_VIEW_IS_MAIN SYSREQ_REF_TYPE_VIEW_NAME SYSREQ_REF_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_REFERENCE_TYPE_ID SYSREQ_STATE SYSREQ_STATЕ SYSREQ_SYSTEM_SETTINGS_VALUE SYSREQ_TYPE SYSREQ_UNIT SYSREQ_UNIT_ID SYSREQ_USER_GROUPS_GROUP_FULL_NAME SYSREQ_USER_GROUPS_GROUP_NAME SYSREQ_USER_GROUPS_GROUP_SERVER_NAME SYSREQ_USERS_ACCESS_RIGHTS SYSREQ_USERS_AUTHENTICATION SYSREQ_USERS_CA\
+TEGORY SYSREQ_USERS_COMPONENT SYSREQ_USERS_COMPONENT_USER_IS_PUBLIC SYSREQ_USERS_DOMAIN SYSREQ_USERS_FULL_USER_NAME SYSREQ_USERS_GROUP SYSREQ_USERS_IS_MAIN_SERVER SYSREQ_USERS_LOGIN SYSREQ_USERS_REFERENCE_USER_IS_PUBLIC SYSREQ_USERS_STATUS SYSREQ_USERS_USER_CERTIFICATE SYSREQ_USERS_USER_CERTIFICATE_INFO SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_NAME SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_VERSION SYSREQ_USERS_USER_CERTIFICATE_STATE SYSREQ_USERS_USER_CERTIFICATE_SUBJECT_NAME SYSREQ_USERS_USER_CERTIFICATE\
+_THUMBPRINT SYSREQ_USERS_USER_DEFAULT_CERTIFICATE SYSREQ_USERS_USER_DESCRIPTION SYSREQ_USERS_USER_GLOBAL_NAME SYSREQ_USERS_USER_LOGIN SYSREQ_USERS_USER_MAIN_SERVER SYSREQ_USERS_USER_TYPE SYSREQ_WORK_RULES_FOLDER_ID "+"RESULT_VAR_NAME RESULT_VAR_NAME_ENG "+"AUTO_NUMERATION_RULE_ID CANT_CHANGE_ID_REQUISITE_RULE_ID CANT_CHANGE_OURFIRM_REQUISITE_RULE_ID CHECK_CHANGING_REFERENCE_RECORD_USE_RULE_ID CHECK_CODE_REQUISITE_RULE_ID CHECK_DELETING_REFERENCE_RECORD_USE_RULE_ID CHECK_FILTRATER_CHANGES_RULE_ID\
+ CHECK_RECORD_INTERVAL_RULE_ID CHECK_REFERENCE_INTERVAL_RULE_ID CHECK_REQUIRED_DATA_FULLNESS_RULE_ID CHECK_REQUIRED_REQUISITES_FULLNESS_RULE_ID MAKE_RECORD_UNRATIFIED_RULE_ID RESTORE_AUTO_NUMERATION_RULE_ID SET_FIRM_CONTEXT_FROM_RECORD_RULE_ID SET_FIRST_RECORD_IN_LIST_FORM_RULE_ID SET_IDSPS_VALUE_RULE_ID SET_NEXT_CODE_VALUE_RULE_ID SET_OURFIRM_BOUNDS_RULE_ID SET_OURFIRM_REQUISITE_RULE_ID "+"SCRIPT_BLOCK_AFTER_FINISH_EVENT SCRIPT_BLOCK_BEFORE_START_EVENT SCRIPT_BLOCK_EXECUTION_RESULTS_PROPERTY SC\
+RIPT_BLOCK_NAME_PROPERTY SCRIPT_BLOCK_SCRIPT_PROPERTY "+"SUBTASK_BLOCK_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_AFTER_FINISH_EVENT SUBTASK_BLOCK_ASSIGN_PARAMS_EVENT SUBTASK_BLOCK_ATTACHMENTS_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY SUBTASK_BLOCK_BEFORE_START_EVENT SUBTASK_BLOCK_CREATED_TASK_PROPERTY SUBTASK_BLOCK_CREATION_EVENT SUBTASK_BLOCK_DEADLINE_PROPERTY SUBTASK_BLOCK_IMPORTANCE_PROPERTY SUBTASK_BLOCK_INITIATOR_PROPERTY SUBTASK_BLO\
+CK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY SUBTASK_BLOCK_JOBS_TYPE_PROPERTY SUBTASK_BLOCK_NAME_PROPERTY SUBTASK_BLOCK_PARALLEL_ROUTE_PROPERTY SUBTASK_BLOCK_PERFORMERS_PROPERTY SUBTASK_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_REQUIRE_SIGN_PROPERTY SUBTASK_BLOCK_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_START_EVENT SUBTASK_BLOCK_STEP_CONTROL_PROPERTY SUBTASK_BLOCK_SUBJECT_PROPERTY SUBTASK_BLOCK_TASK_\
+CONTROL_PROPERTY SUBTASK_BLOCK_TEXT_PROPERTY SUBTASK_BLOCK_UNLOCK_ATTACHMENTS_ON_STOP_PROPERTY SUBTASK_BLOCK_USE_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_WAIT_FOR_TASK_COMPLETE_PROPERTY "+"SYSCOMP_CONTROL_JOBS SYSCOMP_FOLDERS SYSCOMP_JOBS SYSCOMP_NOTICES SYSCOMP_TASKS "+"SYSDLG_CREATE_EDOCUMENT SYSDLG_CREATE_EDOCUMENT_VERSION SYSDLG_CURRENT_PERIOD SYSDLG_EDIT_FUNCTION_HELP SYSDLG_EDOCUMENT_KINDS_FOR_TEMPLATE SYSDLG_EXPORT_MULTIPLE_EDOCUMENTS SYSDLG_EXPORT_SINGLE_EDOCUMENT SYSDLG_IMPORT_EDOCUMENT SY\
+SDLG_MULTIPLE_SELECT SYSDLG_SETUP_ACCESS_RIGHTS SYSDLG_SETUP_DEFAULT_RIGHTS SYSDLG_SETUP_FILTER_CONDITION SYSDLG_SETUP_SIGN_RIGHTS SYSDLG_SETUP_TASK_OBSERVERS SYSDLG_SETUP_TASK_ROUTE SYSDLG_SETUP_USERS_LIST SYSDLG_SIGN_EDOCUMENT SYSDLG_SIGN_MULTIPLE_EDOCUMENTS "+"SYSREF_ACCESS_RIGHTS_TYPES SYSREF_ADMINISTRATION_HISTORY SYSREF_ALL_AVAILABLE_COMPONENTS SYSREF_ALL_AVAILABLE_PRIVILEGES SYSREF_ALL_REPLICATING_COMPONENTS SYSREF_AVAILABLE_DEVELOPERS_COMPONENTS SYSREF_CALENDAR_EVENTS SYSREF_COMPONENT_TO\
+KEN_HISTORY SYSREF_COMPONENT_TOKENS SYSREF_COMPONENTS SYSREF_CONSTANTS SYSREF_DATA_RECEIVE_PROTOCOL SYSREF_DATA_SEND_PROTOCOL SYSREF_DIALOGS SYSREF_DIALOGS_REQUISITES SYSREF_EDITORS SYSREF_EDOC_CARDS SYSREF_EDOC_TYPES SYSREF_EDOCUMENT_CARD_REQUISITES SYSREF_EDOCUMENT_CARD_TYPES SYSREF_EDOCUMENT_CARD_TYPES_REFERENCE SYSREF_EDOCUMENT_CARDS SYSREF_EDOCUMENT_HISTORY SYSREF_EDOCUMENT_KINDS SYSREF_EDOCUMENT_REQUISITES SYSREF_EDOCUMENT_SIGNATURES SYSREF_EDOCUMENT_TEMPLATES SYSREF_EDOCUMENT_TEXT_STORAGE\
+S SYSREF_EDOCUMENT_VIEWS SYSREF_FILTERER_SETUP_CONFLICTS SYSREF_FILTRATER_SETTING_CONFLICTS SYSREF_FOLDER_HISTORY SYSREF_FOLDERS SYSREF_FUNCTION_GROUPS SYSREF_FUNCTION_PARAMS SYSREF_FUNCTIONS SYSREF_JOB_HISTORY SYSREF_LINKS SYSREF_LOCALIZATION_DICTIONARY SYSREF_LOCALIZATION_LANGUAGES SYSREF_MODULES SYSREF_PRIVILEGES SYSREF_RECORD_HISTORY SYSREF_REFERENCE_REQUISITES SYSREF_REFERENCE_TYPE_VIEWS SYSREF_REFERENCE_TYPES SYSREF_REFERENCES SYSREF_REFERENCES_REQUISITES SYSREF_REMOTE_SERVERS SYSREF_REPLI\
+CATION_SESSIONS_LOG SYSREF_REPLICATION_SESSIONS_PROTOCOL SYSREF_REPORTS SYSREF_ROLES SYSREF_ROUTE_BLOCK_GROUPS SYSREF_ROUTE_BLOCKS SYSREF_SCRIPTS SYSREF_SEARCHES SYSREF_SERVER_EVENTS SYSREF_SERVER_EVENTS_HISTORY SYSREF_STANDARD_ROUTE_GROUPS SYSREF_STANDARD_ROUTES SYSREF_STATUSES SYSREF_SYSTEM_SETTINGS SYSREF_TASK_HISTORY SYSREF_TASK_KIND_GROUPS SYSREF_TASK_KINDS SYSREF_TASK_RIGHTS SYSREF_TASK_SIGNATURES SYSREF_TASKS SYSREF_UNITS SYSREF_USER_GROUPS SYSREF_USER_GROUPS_REFERENCE SYSREF_USER_SUBSTIT\
+UTION SYSREF_USERS SYSREF_USERS_REFERENCE SYSREF_VIEWERS SYSREF_WORKING_TIME_CALENDARS "+"ACCESS_RIGHTS_TABLE_NAME EDMS_ACCESS_TABLE_NAME EDOC_TYPES_TABLE_NAME "+"TEST_DEV_DB_NAME TEST_DEV_SYSTEM_CODE TEST_EDMS_DB_NAME TEST_EDMS_MAIN_CODE TEST_EDMS_MAIN_DB_NAME TEST_EDMS_SECOND_CODE TEST_EDMS_SECOND_DB_NAME TEST_EDMS_SYSTEM_CODE TEST_ISB5_MAIN_CODE TEST_ISB5_SECOND_CODE TEST_SQL_SERVER_2005_NAME TEST_SQL_SERVER_NAME "+"ATTENTION_CAPTION cbsCommandLinks cbsDefault CONFIRMATION_CAPTION ERROR_CAPTI\
+ON INFORMATION_CAPTION mrCancel mrOk "+"EDOC_VERSION_ACTIVE_STAGE_CODE EDOC_VERSION_DESIGN_STAGE_CODE EDOC_VERSION_OBSOLETE_STAGE_CODE "+"cpDataEnciphermentEnabled cpDigitalSignatureEnabled cpID cpIssuer cpPluginVersion cpSerial cpSubjectName cpSubjSimpleName cpValidFromDate cpValidToDate "+"ISBL_SYNTAX NO_SYNTAX XML_SYNTAX "+"WAIT_BLOCK_AFTER_FINISH_EVENT WAIT_BLOCK_BEFORE_START_EVENT WAIT_BLOCK_DEADLINE_PROPERTY WAIT_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY WAIT_BLOCK_NAME_PROPERTY WAIT_BLOCK_RELAT\
+IVE_DEADLINE_TYPE_PROPERTY "+"SYSRES_COMMON SYSRES_CONST SYSRES_MBFUNC SYSRES_SBDATA SYSRES_SBGUI SYSRES_SBINTF SYSRES_SBREFDSC SYSRES_SQLERRORS SYSRES_SYSCOMP ",ENUMS="atUser atGroup atRole "+"aemEnabledAlways aemDisabledAlways aemEnabledOnBrowse aemEnabledOnEdit aemDisabledOnBrowseEmpty "+"apBegin apEnd "+"alLeft alRight "+"asmNever asmNoButCustomize asmAsLastTime asmYesButCustomize asmAlways "+"cirCommon cirRevoked "+"ctSignature ctEncode ctSignatureEncode "+"clbUnchecked clbChecked clbGrayed\
+ "+"ceISB ceAlways ceNever "+"ctDocument ctReference ctScript ctUnknown ctReport ctDialog ctFunction ctFolder ctEDocument ctTask ctJob ctNotice ctControlJob "+"cfInternal cfDisplay "+"ciUnspecified ciWrite ciRead "+"ckFolder ckEDocument ckTask ckJob ckComponentToken ckAny ckReference ckScript ckReport ckDialog "+"ctISBLEditor ctBevel ctButton ctCheckListBox ctComboBox ctComboEdit ctGrid ctDBCheckBox ctDBComboBox ctDBEdit ctDBEllipsis ctDBMemo ctDBNavigator ctDBRadioGroup ctDBStatusLabel ctEdit c\
+tGroupBox ctInplaceHint ctMemo ctPanel ctListBox ctRadioButton ctRichEdit ctTabSheet ctWebBrowser ctImage ctHyperLink ctLabel ctDBMultiEllipsis ctRibbon ctRichView ctInnerPanel ctPanelGroup ctBitButton "+"cctDate cctInteger cctNumeric cctPick cctReference cctString cctText "+"cltInternal cltPrimary cltGUI "+"dseBeforeOpen dseAfterOpen dseBeforeClose dseAfterClose dseOnValidDelete dseBeforeDelete dseAfterDelete dseAfterDeleteOutOfTransaction dseOnDeleteError dseBeforeInsert dseAfterInsert dseOnVa\
+lidUpdate dseBeforeUpdate dseOnUpdateRatifiedRecord dseAfterUpdate dseAfterUpdateOutOfTransaction dseOnUpdateError dseAfterScroll dseOnOpenRecord dseOnCloseRecord dseBeforeCancel dseAfterCancel dseOnUpdateDeadlockError dseBeforeDetailUpdate dseOnPrepareUpdate dseOnAnyRequisiteChange "+"dssEdit dssInsert dssBrowse dssInActive "+"dftDate dftShortDate dftDateTime dftTimeStamp "+"dotDays dotHours dotMinutes dotSeconds "+"dtkndLocal dtkndUTC "+"arNone arView arEdit arFull "+"ddaView ddaEdit "+"emLock\
+ emEdit emSign emExportWithLock emImportWithUnlock emChangeVersionNote emOpenForModify emChangeLifeStage emDelete emCreateVersion emImport emUnlockExportedWithLock emStart emAbort emReInit emMarkAsReaded emMarkAsUnreaded emPerform emAccept emResume emChangeRights emEditRoute emEditObserver emRecoveryFromLocalCopy emChangeWorkAccessType emChangeEncodeTypeToCertificate emChangeEncodeTypeToPassword emChangeEncodeTypeToNone emChangeEncodeTypeToCertificatePassword emChangeStandardRoute emGetText emOp\
+enForView emMoveToStorage emCreateObject emChangeVersionHidden emDeleteVersion emChangeLifeCycleStage emApprovingSign emExport emContinue emLockFromEdit emUnLockForEdit emLockForServer emUnlockFromServer emDelegateAccessRights emReEncode "+"ecotFile ecotProcess "+"eaGet eaCopy eaCreate eaCreateStandardRoute "+"edltAll edltNothing edltQuery "+"essmText essmCard "+"esvtLast esvtLastActive esvtSpecified "+"edsfExecutive edsfArchive "+"edstSQLServer edstFile "+"edvstNone edvstEDocumentVersionCopy ed\
+vstFile edvstTemplate edvstScannedFile "+"vsDefault vsDesign vsActive vsObsolete "+"etNone etCertificate etPassword etCertificatePassword "+"ecException ecWarning ecInformation "+"estAll estApprovingOnly "+"evtLast evtLastActive evtQuery "+"fdtString fdtNumeric fdtInteger fdtDate fdtText fdtUnknown fdtWideString fdtLargeInteger "+"ftInbox ftOutbox ftFavorites ftCommonFolder ftUserFolder ftComponents ftQuickLaunch ftShortcuts ftSearch "+"grhAuto grhX1 grhX2 grhX3 "+"hltText hltRTF hltHTML "+"iffB\
+MP iffJPEG iffMultiPageTIFF iffSinglePageTIFF iffTIFF iffPNG "+"im8bGrayscale im24bRGB im1bMonochrome "+"itBMP itJPEG itWMF itPNG "+"ikhInformation ikhWarning ikhError ikhNoIcon "+"icUnknown icScript icFunction icIntegratedReport icAnalyticReport icDataSetEventHandler icActionHandler icFormEventHandler icLookUpEventHandler icRequisiteChangeEventHandler icBeforeSearchEventHandler icRoleCalculation icSelectRouteEventHandler icBlockPropertyCalculation icBlockQueryParamsEventHandler icChangeSearchRe\
+sultEventHandler icBlockEventHandler icSubTaskInitEventHandler icEDocDataSetEventHandler icEDocLookUpEventHandler icEDocActionHandler icEDocFormEventHandler icEDocRequisiteChangeEventHandler icStructuredConversionRule icStructuredConversionEventBefore icStructuredConversionEventAfter icWizardEventHandler icWizardFinishEventHandler icWizardStepEventHandler icWizardStepFinishEventHandler icWizardActionEnableEventHandler icWizardActionExecuteEventHandler icCreateJobsHandler icCreateNoticesHandler i\
+cBeforeLookUpEventHandler icAfterLookUpEventHandler icTaskAbortEventHandler icWorkflowBlockActionHandler icDialogDataSetEventHandler icDialogActionHandler icDialogLookUpEventHandler icDialogRequisiteChangeEventHandler icDialogFormEventHandler icDialogValidCloseEventHandler icBlockFormEventHandler icTaskFormEventHandler icReferenceMethod icEDocMethod icDialogMethod icProcessMessageHandler "+"isShow isHide isByUserSettings "+"jkJob jkNotice jkControlJob "+"jtInner jtLeft jtRight jtFull jtCross "+"\
+lbpAbove lbpBelow lbpLeft lbpRight "+"eltPerConnection eltPerUser "+"sfcUndefined sfcBlack sfcGreen sfcRed sfcBlue sfcOrange sfcLilac "+"sfsItalic sfsStrikeout sfsNormal "+"ldctStandardRoute ldctWizard ldctScript ldctFunction ldctRouteBlock ldctIntegratedReport ldctAnalyticReport ldctReferenceType ldctEDocumentType ldctDialog ldctServerEvents "+"mrcrtNone mrcrtUser mrcrtMaximal mrcrtCustom "+"vtEqual vtGreaterOrEqual vtLessOrEqual vtRange "+"rdYesterday rdToday rdTomorrow rdThisWeek rdThisMonth \
+rdThisYear rdNextMonth rdNextWeek rdLastWeek rdLastMonth "+"rdWindow rdFile rdPrinter "+"rdtString rdtNumeric rdtInteger rdtDate rdtReference rdtAccount rdtText rdtPick rdtUnknown rdtLargeInteger rdtDocument "+"reOnChange reOnChangeValues "+"ttGlobal ttLocal ttUser ttSystem "+"ssmBrowse ssmSelect ssmMultiSelect ssmBrowseModal "+"smSelect smLike smCard "+"stNone stAuthenticating stApproving "+"sctString sctStream "+"sstAnsiSort sstNaturalSort "+"svtEqual svtContain "+"soatString soatNumeric soatI\
+nteger soatDatetime soatReferenceRecord soatText soatPick soatBoolean soatEDocument soatAccount soatIntegerCollection soatNumericCollection soatStringCollection soatPickCollection soatDatetimeCollection soatBooleanCollection soatReferenceRecordCollection soatEDocumentCollection soatAccountCollection soatContents soatUnknown "+"tarAbortByUser tarAbortByWorkflowException "+"tvtAllWords tvtExactPhrase tvtAnyWord "+"usNone usCompleted usRedSquare usBlueSquare usYellowSquare usGreenSquare usOrangeSqu\
+are usPurpleSquare usFollowUp "+"utUnknown utUser utDeveloper utAdministrator utSystemDeveloper utDisconnected "+"btAnd btDetailAnd btOr btNotOr btOnly "+"vmView vmSelect vmNavigation "+"vsmSingle vsmMultiple vsmMultipleCheck vsmNoSelection "+"wfatPrevious wfatNext wfatCancel wfatFinish "+"wfepUndefined wfepText3 wfepText6 wfepText9 wfepSpinEdit wfepDropDown wfepRadioGroup wfepFlag wfepText12 wfepText15 wfepText18 wfepText21 wfepText24 wfepText27 wfepText30 wfepRadioGroupColumn1 wfepRadioGroupCo\
+lumn2 wfepRadioGroupColumn3 "+"wfetQueryParameter wfetText wfetDelimiter wfetLabel "+"wptString wptInteger wptNumeric wptBoolean wptDateTime wptPick wptText wptUser wptUserList wptEDocumentInfo wptEDocumentInfoList wptReferenceRecordInfo wptReferenceRecordInfoList wptFolderInfo wptTaskInfo wptContents wptFileName wptDate "+"wsrComplete wsrGoNext wsrGoPrevious wsrCustom wsrCancel wsrGoFinal "+"wstForm wstEDocument wstTaskCard wstReferenceRecordCard wstFinal "+"waAll waPerformers waManual "+"wsbSt\
+art wsbFinish wsbNotice wsbStep wsbDecision wsbWait wsbMonitor wsbScript wsbConnector wsbSubTask wsbLifeCycleStage wsbPause "+"wdtInteger wdtFloat wdtString wdtPick wdtDateTime wdtBoolean wdtTask wdtJob wdtFolder wdtEDocument wdtReferenceRecord wdtUser wdtGroup wdtRole wdtIntegerCollection wdtFloatCollection wdtStringCollection wdtPickCollection wdtDateTimeCollection wdtBooleanCollection wdtTaskCollection wdtJobCollection wdtFolderCollection wdtEDocumentCollection wdtReferenceRecordCollection wd\
+tUserCollection wdtGroupCollection wdtRoleCollection wdtContents wdtUserList wdtSearchDescription wdtDeadLine wdtPickSet wdtAccountCollection "+"wiLow wiNormal wiHigh "+"wrtSoft wrtHard "+"wsInit wsRunning wsDone wsControlled wsAborted wsContinued "+"wtmFull wtmFromCurrent wtmOnlyCurrent ",system_functions="AddSubString AdjustLineBreaks AmountInWords Analysis ArrayDimCount ArrayHighBound ArrayLowBound ArrayOf ArrayReDim Assert Assigned BeginOfMonth BeginOfPeriod BuildProfilingOperationAnalysis C\
+allProcedure CanReadFile CArrayElement CDataSetRequisite ChangeDate ChangeReferenceDataset Char CharPos CheckParam CheckParamValue CompareStrings ConstantExists ControlState ConvertDateStr Copy CopyFile CreateArray CreateCachedReference CreateConnection CreateDialog CreateDualListDialog CreateEditor CreateException CreateFile CreateFolderDialog CreateInputDialog CreateLinkFile CreateList CreateLock CreateMemoryDataSet CreateObject CreateOpenDialog CreateProgress CreateQuery CreateReference Creat\
+eReport CreateSaveDialog CreateScript CreateSQLPivotFunction CreateStringList CreateTreeListSelectDialog CSelectSQL CSQL CSubString CurrentUserID CurrentUserName CurrentVersion DataSetLocateEx DateDiff DateTimeDiff DateToStr DayOfWeek DeleteFile DirectoryExists DisableCheckAccessRights DisableCheckFullShowingRestriction DisableMassTaskSendingRestrictions DropTable DupeString EditText EnableCheckAccessRights EnableCheckFullShowingRestriction EnableMassTaskSendingRestrictions EndOfMonth EndOfPerio\
+d ExceptionExists ExceptionsOff ExceptionsOn Execute ExecuteProcess Exit ExpandEnvironmentVariables ExtractFileDrive ExtractFileExt ExtractFileName ExtractFilePath ExtractParams FileExists FileSize FindFile FindSubString FirmContext ForceDirectories Format FormatDate FormatNumeric FormatSQLDate FormatString FreeException GetComponent GetComponentLaunchParam GetConstant GetLastException GetReferenceRecord GetRefTypeByRefID GetTableID GetTempFolder IfThen In IndexOf InputDialog InputDialogEx Inter\
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+etExpect100 libURLSetFTPListCommand libURLSetFTPMode libURLSetFTPStopTime libURLSetStatusCallback load extension loadedExtensions multiply socket prepare process post seek rel relative read from process rename replace require resetAll resolve revAddXMLNode revAppendXML revCloseCursor revCloseDatabase revCommitDatabase revCopyFile revCopyFolder revCopyXMLNode revDeleteFolder revDeleteXMLNode revDeleteAllXMLTrees revDeleteXMLTree revExecuteSQL revGoURL revInsertXMLNode revMoveFolder revMoveToFirst\
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+ revZipAddUncompressedItemWithFile revZipCancel revZipCloseArchive revZipDeleteItem revZipExtractItemToFile revZipExtractItemToVariable revZipSetProgressCallback revZipRenameItem revZipReplaceItemWithData revZipReplaceItemWithFile revZipOpenArchive send set sort split start stop subtract symmetric union unload vectorDotProduct wait write"},contains:[VARIABLE,{className:"keyword",begin:"\\bend\\sif\\b"},{className:"function",beginKeywords:"function",end:"$",contains:[VARIABLE,TITLE2,hljs.APOS_STRING_MODE,
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+hljs.C_NUMBER_MODE,TITLE1].concat(COMMENT_MODES),illegal:";$|^\\[|^=|&|\\{"}}return livecodeserver_1=livecodeserver2,livecodeserver_1}var livescript_1,hasRequiredLivescript;function requireLivescript(){if(hasRequiredLivescript)return livescript_1;hasRequiredLivescript=1;const KEYWORDS2=["as","in","of","if","for","while","finally","var","new","function","do","return","void","else","break","catch","instanceof","with","throw","case","default","try","switch","continue","typeof","delete","let","yield",
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+TYPES2,ERROR_TYPES2);function livescript2(hljs){const LIVESCRIPT_BUILT_INS=["npm","print"],LIVESCRIPT_LITERALS=["yes","no","on","off","it","that","void"],LIVESCRIPT_KEYWORDS=["then","unless","until","loop","of","by","when","and","or","is","isnt","not","it","that","otherwise","from","to","til","fallthrough","case","enum","native","list","map","__hasProp","__extends","__slice","__bind","__indexOf"],KEYWORDS$12={keyword:KEYWORDS2.concat(LIVESCRIPT_KEYWORDS),literal:LITERALS2.concat(LIVESCRIPT_LITERALS),
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+{begin:"@"+JS_IDENT_RE},{begin:"``",end:"``",excludeBegin:!0,excludeEnd:!0,subLanguage:"javascript"}];SUBST.contains=EXPRESSIONS;const PARAMS={className:"params",begin:"\\(",returnBegin:!0,contains:[{begin:/\(/,end:/\)/,keywords:KEYWORDS$12,contains:["self"].concat(EXPRESSIONS)}]},SYMBOLS={begin:"(#=>|=>|\\|>>|-?->|!->)"},CLASS_DEFINITION={variants:[{match:[/class\s+/,JS_IDENT_RE,/\s+extends\s+/,JS_IDENT_RE]},{match:[/class\s+/,JS_IDENT_RE]}],scope:{2:"title.class",4:"title.class.inherited"},keywords:KEYWORDS$12};
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+return{name:"LLVM IR",keywords:{keyword:"begin end true false declare define global constant private linker_private internal available_externally linkonce linkonce_odr weak weak_odr appending dllimport dllexport common default hidden protected extern_weak external thread_local zeroinitializer undef null to tail target triple datalayout volatile nuw nsw nnan ninf nsz arcp fast exact inbounds align addrspace section alias module asm sideeffect gc dbg linker_private_weak attributes blockaddress ini\
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+ANGULAR)_(DEFLECTION_(EFFICIENCY|TIMESCALE)|MOTOR_(DECAY_)?TIMESCALE)|VERTICAL_ATTRACTION_(EFFICIENCY|TIMESCALE)|BANKING_(EFFICIENCY|MIX|TIMESCALE)|FLAG_(NO_DEFLECTION_UP|LIMIT_(ROLL_ONLY|MOTOR_UP)|HOVER_((WATER|TERRAIN|UP)_ONLY|GLOBAL_HEIGHT)|MOUSELOOK_(STEER|BANK)|CAMERA_DECOUPLED))|PRIM_(ALLOW_UNSIT|ALPHA_MODE(_(BLEND|EMISSIVE|MASK|NONE))?|NORMAL|SPECULAR|TYPE(_(BOX|CYLINDER|PRISM|SPHERE|TORUS|TUBE|RING|SCULPT))?|HOLE_(DEFAULT|CIRCLE|SQUARE|TRIANGLE)|MATERIAL(_(STONE|METAL|GLASS|WOOD|FLESH|PL\
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+ cholesky christof chromatic_index chromatic_number cint circulant_graph clear_edge_weight clear_rules clear_vertex_label clebsch_gordan clebsch_graph clessp clesspignore close closefile cmetric coeff coefmatrix cograd col collapse collectterms columnop columnspace columnswap columnvector combination combine comp2pui compare compfile compile compile_file complement_graph complete_bipartite_graph complete_graph complex_number_p components compose_functions concan concat conjugate conmetderiv conn\
+ected_components connect_vertices cons constant constantp constituent constvalue cont2part content continuous_freq contortion contour_plot contract contract_edge contragrad contrib_ode convert coord copy copy_file copy_graph copylist copymatrix cor cos cosh cot coth cov cov1 covdiff covect covers crc24sum create_graph create_list csc csch csetup cspline ctaylor ct_coordsys ctransform ctranspose cube_graph cuboctahedron_graph cunlisp cv cycle_digraph cycle_graph cylindrical days360 dblint deactiv\
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+ kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtosis_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerr\
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+pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_\
+colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_par\
+t poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2ele pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc q\
+uad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal quantile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poiss\
+on quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_b\
+inomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline \
+read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions remove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remv\
+alue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors sca\
+nmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_simplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showr\
+atvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geometric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial\
+ skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode sparse6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_h\
+ankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binom\
+ial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan ta\
+nh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tlimit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trac\
+e tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlying_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace upperca\
+sep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poisson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity\
+ vertex_degree vertex_distance vertex_eccentricity vertex_in_degree vertex_out_degree vertices vertices_to_cycle vertices_to_path %w weyl wheel_graph wiener_index wigner_3j wigner_6j wigner_9j with_stdout write_binary_data writebyte write_data writefile wronskian xreduce xthru %y Zeilberger zeroequiv zerofor zeromatrix zeromatrixp zeta zgeev zheev zlange zn_add_table zn_carmichael_lambda zn_characteristic_factors zn_determinant zn_factor_generators zn_invert_by_lu zn_log zn_mult_table absboxchar\
+ activecontexts adapt_depth additive adim aform algebraic algepsilon algexact aliases allbut all_dotsimp_denoms allocation allsym alphabetic animation antisymmetric arrays askexp assume_pos assume_pos_pred assumescalar asymbol atomgrad atrig1 axes axis_3d axis_bottom axis_left axis_right axis_top azimuth background background_color backsubst berlefact bernstein_explicit besselexpand beta_args_sum_to_integer beta_expand bftorat bftrunc bindtest border boundaries_array box boxchar breakup %c cappi\
+ng cauchysum cbrange cbtics center cflength cframe_flag cnonmet_flag color color_bar color_bar_tics colorbox columns commutative complex cone context contexts contour contour_levels cosnpiflag ctaypov ctaypt ctayswitch ctayvar ct_coords ctorsion_flag ctrgsimp cube current_let_rule_package cylinder data_file_name debugmode decreasing default_let_rule_package delay dependencies derivabbrev derivsubst detout diagmetric diff dim dimensions dispflag display2d|10 display_format_internal distribute_ove\
+r doallmxops domain domxexpt domxmxops domxnctimes dontfactor doscmxops doscmxplus dot0nscsimp dot0simp dot1simp dotassoc dotconstrules dotdistrib dotexptsimp dotident dotscrules draw_graph_program draw_realpart edge_color edge_coloring edge_partition edge_type edge_width %edispflag elevation %emode endphi endtheta engineering_format_floats enhanced3d %enumer epsilon_lp erfflag erf_representation errormsg error_size error_syms error_type %e_to_numlog eval even evenfun evflag evfun ev_point expan\
+dwrt_denom expintexpand expintrep expon expop exptdispflag exptisolate exptsubst facexpand facsum_combine factlim factorflag factorial_expand factors_only fb feature features file_name file_output_append file_search_demo file_search_lisp file_search_maxima|10 file_search_tests file_search_usage file_type_lisp file_type_maxima|10 fill_color fill_density filled_func fixed_vertices flipflag float2bf font font_size fortindent fortspaces fpprec fpprintprec functions gamma_expand gammalim gdet geninde\
+x gensumnum GGFCFMAX GGFINFINITY globalsolve gnuplot_command gnuplot_curve_styles gnuplot_curve_titles gnuplot_default_term_command gnuplot_dumb_term_command gnuplot_file_args gnuplot_file_name gnuplot_out_file gnuplot_pdf_term_command gnuplot_pm3d gnuplot_png_term_command gnuplot_postamble gnuplot_preamble gnuplot_ps_term_command gnuplot_svg_term_command gnuplot_term gnuplot_view_args Gosper_in_Zeilberger gradefs grid grid2d grind halfangles head_angle head_both head_length head_type height hyp\
+ergeometric_representation %iargs ibase icc1 icc2 icounter idummyx ieqnprint ifb ifc1 ifc2 ifg ifgi ifr iframe_bracket_form ifri igeowedge_flag ikt1 ikt2 imaginary inchar increasing infeval infinity inflag infolists inm inmc1 inmc2 intanalysis integer integervalued integrate_use_rootsof integration_constant integration_constant_counter interpolate_color intfaclim ip_grid ip_grid_in irrational isolate_wrt_times iterations itr julia_parameter %k1 %k2 keepfloat key key_pos kinvariant kt label label\
+_alignment label_orientation labels lassociative lbfgs_ncorrections lbfgs_nfeval_max leftjust legend letrat let_rule_packages lfg lg lhospitallim limsubst linear linear_solver linechar linel|10 linenum line_type linewidth line_width linsolve_params linsolvewarn lispdisp listarith listconstvars listdummyvars lmxchar load_pathname loadprint logabs logarc logcb logconcoeffp logexpand lognegint logsimp logx logx_secondary logy logy_secondary logz lriem m1pbranch macroexpansion macros mainvar manual_\
+demo maperror mapprint matrix_element_add matrix_element_mult matrix_element_transpose maxapplydepth maxapplyheight maxima_tempdir|10 maxima_userdir|10 maxnegex MAX_ORD maxposex maxpsifracdenom maxpsifracnum maxpsinegint maxpsiposint maxtayorder mesh_lines_color method mod_big_prime mode_check_errorp mode_checkp mode_check_warnp mod_test mod_threshold modular_linear_solver modulus multiplicative multiplicities myoptions nary negdistrib negsumdispflag newline newtonepsilon newtonmaxiter nextlayer\
+factor niceindicespref nm nmc noeval nolabels nonegative_lp noninteger nonscalar noun noundisp nouns np npi nticks ntrig numer numer_pbranch obase odd oddfun opacity opproperties opsubst optimprefix optionset orientation origin orthopoly_returns_intervals outative outchar packagefile palette partswitch pdf_file pfeformat phiresolution %piargs piece pivot_count_sx pivot_max_sx plot_format plot_options plot_realpart png_file pochhammer_max_index points pointsize point_size points_joined point_type\
+ poislim poisson poly_coefficient_ring poly_elimination_order polyfactor poly_grobner_algorithm poly_grobner_debug poly_monomial_order poly_primary_elimination_order poly_return_term_list poly_secondary_elimination_order poly_top_reduction_only posfun position powerdisp pred prederror primep_number_of_tests product_use_gamma program programmode promote_float_to_bigfloat prompt proportional_axes props psexpand ps_file radexpand radius radsubstflag rassociative ratalgdenom ratchristof ratdenomdivi\
+de rateinstein ratepsilon ratfac rational ratmx ratprint ratriemann ratsimpexpons ratvarswitch ratweights ratweyl ratwtlvl real realonly redraw refcheck resolution restart resultant ric riem rmxchar %rnum_list rombergabs rombergit rombergmin rombergtol rootsconmode rootsepsilon run_viewer same_xy same_xyz savedef savefactors scalar scalarmatrixp scale scale_lp setcheck setcheckbreak setval show_edge_color show_edges show_edge_type show_edge_width show_id show_label showtime show_vertex_color sho\
+w_vertex_size show_vertex_type show_vertices show_weight simp simplified_output simplify_products simpproduct simpsum sinnpiflag solvedecomposes solveexplicit solvefactors solvenullwarn solveradcan solvetrigwarn space sparse sphere spring_embedding_depth sqrtdispflag stardisp startphi starttheta stats_numer stringdisp structures style sublis_apply_lambda subnumsimp sumexpand sumsplitfact surface surface_hide svg_file symmetric tab taylordepth taylor_logexpand taylor_order_coefficients taylor_tru\
+ncate_polynomials tensorkill terminal testsuite_files thetaresolution timer_devalue title tlimswitch tr track transcompile transform transform_xy translate_fast_arrays transparent transrun tr_array_as_ref tr_bound_function_applyp tr_file_tty_messagesp tr_float_can_branch_complex tr_function_call_default trigexpandplus trigexpandtimes triginverses trigsign trivial_solutions tr_numer tr_optimize_max_loop tr_semicompile tr_state_vars tr_warn_bad_function_calls tr_warn_fexpr tr_warn_meval tr_warn_mo\
+de tr_warn_undeclared tr_warn_undefined_variable tstep ttyoff tube_extremes ufg ug %unitexpand unit_vectors uric uriem use_fast_arrays user_preamble usersetunits values vect_cross verbose vertex_color vertex_coloring vertex_partition vertex_size vertex_type view warnings weyl width windowname windowtitle wired_surface wireframe xaxis xaxis_color xaxis_secondary xaxis_type xaxis_width xlabel xlabel_secondary xlength xrange xrange_secondary xtics xtics_axis xtics_rotate xtics_rotate_secondary xtic\
+s_secondary xtics_secondary_axis xu_grid x_voxel xy_file xyplane xy_scale yaxis yaxis_color yaxis_secondary yaxis_type yaxis_width ylabel ylabel_secondary ylength yrange yrange_secondary ytics ytics_axis ytics_rotate ytics_rotate_secondary ytics_secondary ytics_secondary_axis yv_grid y_voxel yx_ratio zaxis zaxis_color zaxis_type zaxis_width zeroa zerob zerobern zeta%pi zlabel zlabel_rotate zlength zmin zn_primroot_limit zn_primroot_pretest",symbol:"_ __ %|0 %%|0"},contains:[{className:"comment",
+begin:"/\\*",end:"\\*/",contains:["self"]},hljs.QUOTE_STRING_MODE,{className:"number",relevance:0,variants:[{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Ee][-+]?\\d+\\b"},{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Bb][-+]?\\d+\\b",relevance:10},{begin:"\\b(\\.\\d+|\\d+\\.\\d+)\\b"},{begin:"\\b(\\d+|0[0-9A-Za-z]+)\\.?\\b"}]}],illegal:/@/}}return maxima_1=maxima2,maxima_1}var mel_1,hasRequiredMel;function requireMel(){if(hasRequiredMel)return mel_1;hasRequiredMel=1;function mel2(hljs){return{name:"\
+MEL",keywords:"int float string vector matrix if else switch case default while do for in break continue global proc return about abs addAttr addAttributeEditorNodeHelp addDynamic addNewShelfTab addPP addPanelCategory addPrefixToName advanceToNextDrivenKey affectedNet affects aimConstraint air alias aliasAttr align alignCtx alignCurve alignSurface allViewFit ambientLight angle angleBetween animCone animCurveEditor animDisplay animView annotate appendStringArray applicationName applyAttrPreset ap\
+plyTake arcLenDimContext arcLengthDimension arclen arrayMapper art3dPaintCtx artAttrCtx artAttrPaintVertexCtx artAttrSkinPaintCtx artAttrTool artBuildPaintMenu artFluidAttrCtx artPuttyCtx artSelectCtx artSetPaintCtx artUserPaintCtx assignCommand assignInputDevice assignViewportFactories attachCurve attachDeviceAttr attachSurface attrColorSliderGrp attrCompatibility attrControlGrp attrEnumOptionMenu attrEnumOptionMenuGrp attrFieldGrp attrFieldSliderGrp attrNavigationControlGrp attrPresetEditWin a\
+ttributeExists attributeInfo attributeMenu attributeQuery autoKeyframe autoPlace bakeClip bakeFluidShading bakePartialHistory bakeResults bakeSimulation basename basenameEx batchRender bessel bevel bevelPlus binMembership bindSkin blend2 blendShape blendShapeEditor blendShapePanel blendTwoAttr blindDataType boneLattice boundary boxDollyCtx boxZoomCtx bufferCurve buildBookmarkMenu buildKeyframeMenu button buttonManip CBG cacheFile cacheFileCombine cacheFileMerge cacheFileTrack camera cameraView c\
+anCreateManip canvas capitalizeString catch catchQuiet ceil changeSubdivComponentDisplayLevel changeSubdivRegion channelBox character characterMap characterOutlineEditor characterize chdir checkBox checkBoxGrp checkDefaultRenderGlobals choice circle circularFillet clamp clear clearCache clip clipEditor clipEditorCurrentTimeCtx clipSchedule clipSchedulerOutliner clipTrimBefore closeCurve closeSurface cluster cmdFileOutput cmdScrollFieldExecuter cmdScrollFieldReporter cmdShell coarsenSubdivSelecti\
+onList collision color colorAtPoint colorEditor colorIndex colorIndexSliderGrp colorSliderButtonGrp colorSliderGrp columnLayout commandEcho commandLine commandPort compactHairSystem componentEditor compositingInterop computePolysetVolume condition cone confirmDialog connectAttr connectControl connectDynamic connectJoint connectionInfo constrain constrainValue constructionHistory container containsMultibyte contextInfo control convertFromOldLayers convertIffToPsd convertLightmap convertSolidTx co\
+nvertTessellation convertUnit copyArray copyFlexor copyKey copySkinWeights cos cpButton cpCache cpClothSet cpCollision cpConstraint cpConvClothToMesh cpForces cpGetSolverAttr cpPanel cpProperty cpRigidCollisionFilter cpSeam cpSetEdit cpSetSolverAttr cpSolver cpSolverTypes cpTool cpUpdateClothUVs createDisplayLayer createDrawCtx createEditor createLayeredPsdFile createMotionField createNewShelf createNode createRenderLayer createSubdivRegion cross crossProduct ctxAbort ctxCompletion ctxEditMode c\
+txTraverse currentCtx currentTime currentTimeCtx currentUnit curve curveAddPtCtx curveCVCtx curveEPCtx curveEditorCtx curveIntersect curveMoveEPCtx curveOnSurface curveSketchCtx cutKey cycleCheck cylinder dagPose date defaultLightListCheckBox defaultNavigation defineDataServer defineVirtualDevice deformer deg_to_rad delete deleteAttr deleteShadingGroupsAndMaterials deleteShelfTab deleteUI deleteUnusedBrushes delrandstr detachCurve detachDeviceAttr detachSurface deviceEditor devicePanel dgInfo dg\
+dirty dgeval dgtimer dimWhen directKeyCtx directionalLight dirmap dirname disable disconnectAttr disconnectJoint diskCache displacementToPoly displayAffected displayColor displayCull displayLevelOfDetail displayPref displayRGBColor displaySmoothness displayStats displayString displaySurface distanceDimContext distanceDimension doBlur dolly dollyCtx dopeSheetEditor dot dotProduct doubleProfileBirailSurface drag dragAttrContext draggerContext dropoffLocator duplicate duplicateCurve duplicateSurfac\
+e dynCache dynControl dynExport dynExpression dynGlobals dynPaintEditor dynParticleCtx dynPref dynRelEdPanel dynRelEditor dynamicLoad editAttrLimits editDisplayLayerGlobals editDisplayLayerMembers editRenderLayerAdjustment editRenderLayerGlobals editRenderLayerMembers editor editorTemplate effector emit emitter enableDevice encodeString endString endsWith env equivalent equivalentTol erf error eval evalDeferred evalEcho event exactWorldBoundingBox exclusiveLightCheckBox exec executeForEachObject\
+ exists exp expression expressionEditorListen extendCurve extendSurface extrude fcheck fclose feof fflush fgetline fgetword file fileBrowserDialog fileDialog fileExtension fileInfo filetest filletCurve filter filterCurve filterExpand filterStudioImport findAllIntersections findAnimCurves findKeyframe findMenuItem findRelatedSkinCluster finder firstParentOf fitBspline flexor floatEq floatField floatFieldGrp floatScrollBar floatSlider floatSlider2 floatSliderButtonGrp floatSliderGrp floor flow flu\
+idCacheInfo fluidEmitter fluidVoxelInfo flushUndo fmod fontDialog fopen formLayout format fprint frameLayout fread freeFormFillet frewind fromNativePath fwrite gamma gauss geometryConstraint getApplicationVersionAsFloat getAttr getClassification getDefaultBrush getFileList getFluidAttr getInputDeviceRange getMayaPanelTypes getModifiers getPanel getParticleAttr getPluginResource getenv getpid glRender glRenderEditor globalStitch gmatch goal gotoBindPose grabColor gradientControl gradientControlNo\
+Attr graphDollyCtx graphSelectContext graphTrackCtx gravity grid gridLayout group groupObjectsByName HfAddAttractorToAS HfAssignAS HfBuildEqualMap HfBuildFurFiles HfBuildFurImages HfCancelAFR HfConnectASToHF HfCreateAttractor HfDeleteAS HfEditAS HfPerformCreateAS HfRemoveAttractorFromAS HfSelectAttached HfSelectAttractors HfUnAssignAS hardenPointCurve hardware hardwareRenderPanel headsUpDisplay headsUpMessage help helpLine hermite hide hilite hitTest hotBox hotkey hotkeyCheck hsv_to_rgb hudButto\
+n hudSlider hudSliderButton hwReflectionMap hwRender hwRenderLoad hyperGraph hyperPanel hyperShade hypot iconTextButton iconTextCheckBox iconTextRadioButton iconTextRadioCollection iconTextScrollList iconTextStaticLabel ikHandle ikHandleCtx ikHandleDisplayScale ikSolver ikSplineHandleCtx ikSystem ikSystemInfo ikfkDisplayMethod illustratorCurves image imfPlugins inheritTransform insertJoint insertJointCtx insertKeyCtx insertKnotCurve insertKnotSurface instance instanceable instancer intField intF\
+ieldGrp intScrollBar intSlider intSliderGrp interToUI internalVar intersect iprEngine isAnimCurve isConnected isDirty isParentOf isSameObject isTrue isValidObjectName isValidString isValidUiName isolateSelect itemFilter itemFilterAttr itemFilterRender itemFilterType joint jointCluster jointCtx jointDisplayScale jointLattice keyTangent keyframe keyframeOutliner keyframeRegionCurrentTimeCtx keyframeRegionDirectKeyCtx keyframeRegionDollyCtx keyframeRegionInsertKeyCtx keyframeRegionMoveKeyCtx keyfra\
+meRegionScaleKeyCtx keyframeRegionSelectKeyCtx keyframeRegionSetKeyCtx keyframeRegionTrackCtx keyframeStats lassoContext lattice latticeDeformKeyCtx launch launchImageEditor layerButton layeredShaderPort layeredTexturePort layout layoutDialog lightList lightListEditor lightListPanel lightlink lineIntersection linearPrecision linstep listAnimatable listAttr listCameras listConnections listDeviceAttachments listHistory listInputDeviceAxes listInputDeviceButtons listInputDevices listMenuAnnotation \
+listNodeTypes listPanelCategories listRelatives listSets listTransforms listUnselected listerEditor loadFluid loadNewShelf loadPlugin loadPluginLanguageResources loadPrefObjects localizedPanelLabel lockNode loft log longNameOf lookThru ls lsThroughFilter lsType lsUI Mayatomr mag makeIdentity makeLive makePaintable makeRoll makeSingleSurface makeTubeOn makebot manipMoveContext manipMoveLimitsCtx manipOptions manipRotateContext manipRotateLimitsCtx manipScaleContext manipScaleLimitsCtx marker matc\
+h max memory menu menuBarLayout menuEditor menuItem menuItemToShelf menuSet menuSetPref messageLine min minimizeApp mirrorJoint modelCurrentTimeCtx modelEditor modelPanel mouse movIn movOut move moveIKtoFK moveKeyCtx moveVertexAlongDirection multiProfileBirailSurface mute nParticle nameCommand nameField namespace namespaceInfo newPanelItems newton nodeCast nodeIconButton nodeOutliner nodePreset nodeType noise nonLinear normalConstraint normalize nurbsBoolean nurbsCopyUVSet nurbsCube nurbsEditUV \
+nurbsPlane nurbsSelect nurbsSquare nurbsToPoly nurbsToPolygonsPref nurbsToSubdiv nurbsToSubdivPref nurbsUVSet nurbsViewDirectionVector objExists objectCenter objectLayer objectType objectTypeUI obsoleteProc oceanNurbsPreviewPlane offsetCurve offsetCurveOnSurface offsetSurface openGLExtension openMayaPref optionMenu optionMenuGrp optionVar orbit orbitCtx orientConstraint outlinerEditor outlinerPanel overrideModifier paintEffectsDisplay pairBlend palettePort paneLayout panel panelConfiguration pan\
+elHistory paramDimContext paramDimension paramLocator parent parentConstraint particle particleExists particleInstancer particleRenderInfo partition pasteKey pathAnimation pause pclose percent performanceOptions pfxstrokes pickWalk picture pixelMove planarSrf plane play playbackOptions playblast plugAttr plugNode pluginInfo pluginResourceUtil pointConstraint pointCurveConstraint pointLight pointMatrixMult pointOnCurve pointOnSurface pointPosition poleVectorConstraint polyAppend polyAppendFacetCt\
+x polyAppendVertex polyAutoProjection polyAverageNormal polyAverageVertex polyBevel polyBlendColor polyBlindData polyBoolOp polyBridgeEdge polyCacheMonitor polyCheck polyChipOff polyClipboard polyCloseBorder polyCollapseEdge polyCollapseFacet polyColorBlindData polyColorDel polyColorPerVertex polyColorSet polyCompare polyCone polyCopyUV polyCrease polyCreaseCtx polyCreateFacet polyCreateFacetCtx polyCube polyCut polyCutCtx polyCylinder polyCylindricalProjection polyDelEdge polyDelFacet polyDelVe\
+rtex polyDuplicateAndConnect polyDuplicateEdge polyEditUV polyEditUVShell polyEvaluate polyExtrudeEdge polyExtrudeFacet polyExtrudeVertex polyFlipEdge polyFlipUV polyForceUV polyGeoSampler polyHelix polyInfo polyInstallAction polyLayoutUV polyListComponentConversion polyMapCut polyMapDel polyMapSew polyMapSewMove polyMergeEdge polyMergeEdgeCtx polyMergeFacet polyMergeFacetCtx polyMergeUV polyMergeVertex polyMirrorFace polyMoveEdge polyMoveFacet polyMoveFacetUV polyMoveUV polyMoveVertex polyNorma\
+l polyNormalPerVertex polyNormalizeUV polyOptUvs polyOptions polyOutput polyPipe polyPlanarProjection polyPlane polyPlatonicSolid polyPoke polyPrimitive polyPrism polyProjection polyPyramid polyQuad polyQueryBlindData polyReduce polySelect polySelectConstraint polySelectConstraintMonitor polySelectCtx polySelectEditCtx polySeparate polySetToFaceNormal polySewEdge polyShortestPathCtx polySmooth polySoftEdge polySphere polySphericalProjection polySplit polySplitCtx polySplitEdge polySplitRing poly\
+SplitVertex polyStraightenUVBorder polySubdivideEdge polySubdivideFacet polyToSubdiv polyTorus polyTransfer polyTriangulate polyUVSet polyUnite polyWedgeFace popen popupMenu pose pow preloadRefEd print progressBar progressWindow projFileViewer projectCurve projectTangent projectionContext projectionManip promptDialog propModCtx propMove psdChannelOutliner psdEditTextureFile psdExport psdTextureFile putenv pwd python querySubdiv quit rad_to_deg radial radioButton radioButtonGrp radioCollection ra\
+dioMenuItemCollection rampColorPort rand randomizeFollicles randstate rangeControl readTake rebuildCurve rebuildSurface recordAttr recordDevice redo reference referenceEdit referenceQuery refineSubdivSelectionList refresh refreshAE registerPluginResource rehash reloadImage removeJoint removeMultiInstance removePanelCategory rename renameAttr renameSelectionList renameUI render renderGlobalsNode renderInfo renderLayerButton renderLayerParent renderLayerPostProcess renderLayerUnparent renderManip \
+renderPartition renderQualityNode renderSettings renderThumbnailUpdate renderWindowEditor renderWindowSelectContext renderer reorder reorderDeformers requires reroot resampleFluid resetAE resetPfxToPolyCamera resetTool resolutionNode retarget reverseCurve reverseSurface revolve rgb_to_hsv rigidBody rigidSolver roll rollCtx rootOf rot rotate rotationInterpolation roundConstantRadius rowColumnLayout rowLayout runTimeCommand runup sampleImage saveAllShelves saveAttrPreset saveFluid saveImage saveIn\
+itialState saveMenu savePrefObjects savePrefs saveShelf saveToolSettings scale scaleBrushBrightness scaleComponents scaleConstraint scaleKey scaleKeyCtx sceneEditor sceneUIReplacement scmh scriptCtx scriptEditorInfo scriptJob scriptNode scriptTable scriptToShelf scriptedPanel scriptedPanelType scrollField scrollLayout sculpt searchPathArray seed selLoadSettings select selectContext selectCurveCV selectKey selectKeyCtx selectKeyframeRegionCtx selectMode selectPref selectPriority selectType select\
+edNodes selectionConnection separator setAttr setAttrEnumResource setAttrMapping setAttrNiceNameResource setConstraintRestPosition setDefaultShadingGroup setDrivenKeyframe setDynamic setEditCtx setEditor setFluidAttr setFocus setInfinity setInputDeviceMapping setKeyCtx setKeyPath setKeyframe setKeyframeBlendshapeTargetWts setMenuMode setNodeNiceNameResource setNodeTypeFlag setParent setParticleAttr setPfxToPolyCamera setPluginResource setProject setStampDensity setStartupMessage setState setTool\
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+cvtpd2ps cvtpi2pd cvtps2dq cvtps2pd cvtsd2si cvtsd2ss cvtsi2sd cvtss2sd cvttpd2pi cvttpd2dq cvttps2dq cvttsd2si divpd divsd maxpd maxsd minpd minsd movapd movhpd movlpd movmskpd movupd mulpd mulsd orpd shufpd sqrtpd sqrtsd subpd subsd ucomisd unpckhpd unpcklpd xorpd addsubpd addsubps haddpd haddps hsubpd hsubps lddqu movddup movshdup movsldup clgi stgi vmcall vmclear vmfunc vmlaunch vmload vmmcall vmptrld vmptrst vmread vmresume vmrun vmsave vmwrite vmxoff vmxon invept invvpid pabsb pabsw pabsd \
+palignr phaddw phaddd phaddsw phsubw phsubd phsubsw pmaddubsw pmulhrsw pshufb psignb psignw psignd extrq insertq movntsd movntss lzcnt blendpd blendps blendvpd blendvps dppd dpps extractps insertps movntdqa mpsadbw packusdw pblendvb pblendw pcmpeqq pextrb pextrd pextrq phminposuw pinsrb pinsrd pinsrq pmaxsb pmaxsd pmaxud pmaxuw pminsb pminsd pminud pminuw pmovsxbw pmovsxbd pmovsxbq pmovsxwd pmovsxwq pmovsxdq pmovzxbw pmovzxbd pmovzxbq pmovzxwd pmovzxwq pmovzxdq pmuldq pmulld ptest roundpd roundp\
+s roundsd roundss crc32 pcmpestri pcmpestrm pcmpistri pcmpistrm pcmpgtq popcnt getsec pfrcpv pfrsqrtv movbe aesenc aesenclast aesdec aesdeclast aesimc aeskeygenassist vaesenc vaesenclast vaesdec vaesdeclast vaesimc vaeskeygenassist vaddpd vaddps vaddsd vaddss vaddsubpd vaddsubps vandpd vandps vandnpd vandnps vblendpd vblendps vblendvpd vblendvps vbroadcastss vbroadcastsd vbroadcastf128 vcmpeq_ospd vcmpeqpd vcmplt_ospd vcmpltpd vcmple_ospd vcmplepd vcmpunord_qpd vcmpunordpd vcmpneq_uqpd vcmpneqpd\
+ vcmpnlt_uspd vcmpnltpd vcmpnle_uspd vcmpnlepd vcmpord_qpd vcmpordpd vcmpeq_uqpd vcmpnge_uspd vcmpngepd vcmpngt_uspd vcmpngtpd vcmpfalse_oqpd vcmpfalsepd vcmpneq_oqpd vcmpge_ospd vcmpgepd vcmpgt_ospd vcmpgtpd vcmptrue_uqpd vcmptruepd vcmplt_oqpd vcmple_oqpd vcmpunord_spd vcmpneq_uspd vcmpnlt_uqpd vcmpnle_uqpd vcmpord_spd vcmpeq_uspd vcmpnge_uqpd vcmpngt_uqpd vcmpfalse_ospd vcmpneq_ospd vcmpge_oqpd vcmpgt_oqpd vcmptrue_uspd vcmppd vcmpeq_osps vcmpeqps vcmplt_osps vcmpltps vcmple_osps vcmpleps vcm\
+punord_qps vcmpunordps vcmpneq_uqps vcmpneqps vcmpnlt_usps vcmpnltps vcmpnle_usps vcmpnleps vcmpord_qps vcmpordps vcmpeq_uqps vcmpnge_usps vcmpngeps vcmpngt_usps vcmpngtps vcmpfalse_oqps vcmpfalseps vcmpneq_oqps vcmpge_osps vcmpgeps vcmpgt_osps vcmpgtps vcmptrue_uqps vcmptrueps vcmplt_oqps vcmple_oqps vcmpunord_sps vcmpneq_usps vcmpnlt_uqps vcmpnle_uqps vcmpord_sps vcmpeq_usps vcmpnge_uqps vcmpngt_uqps vcmpfalse_osps vcmpneq_osps vcmpge_oqps vcmpgt_oqps vcmptrue_usps vcmpps vcmpeq_ossd vcmpeqsd \
+vcmplt_ossd vcmpltsd vcmple_ossd vcmplesd vcmpunord_qsd vcmpunordsd vcmpneq_uqsd vcmpneqsd vcmpnlt_ussd vcmpnltsd vcmpnle_ussd vcmpnlesd vcmpord_qsd vcmpordsd vcmpeq_uqsd vcmpnge_ussd vcmpngesd vcmpngt_ussd vcmpngtsd vcmpfalse_oqsd vcmpfalsesd vcmpneq_oqsd vcmpge_ossd vcmpgesd vcmpgt_ossd vcmpgtsd vcmptrue_uqsd vcmptruesd vcmplt_oqsd vcmple_oqsd vcmpunord_ssd vcmpneq_ussd vcmpnlt_uqsd vcmpnle_uqsd vcmpord_ssd vcmpeq_ussd vcmpnge_uqsd vcmpngt_uqsd vcmpfalse_ossd vcmpneq_ossd vcmpge_oqsd vcmpgt_oq\
+sd vcmptrue_ussd vcmpsd vcmpeq_osss vcmpeqss vcmplt_osss vcmpltss vcmple_osss vcmpless vcmpunord_qss vcmpunordss vcmpneq_uqss vcmpneqss vcmpnlt_usss vcmpnltss vcmpnle_usss vcmpnless vcmpord_qss vcmpordss vcmpeq_uqss vcmpnge_usss vcmpngess vcmpngt_usss vcmpngtss vcmpfalse_oqss vcmpfalsess vcmpneq_oqss vcmpge_osss vcmpgess vcmpgt_osss vcmpgtss vcmptrue_uqss vcmptruess vcmplt_oqss vcmple_oqss vcmpunord_sss vcmpneq_usss vcmpnlt_uqss vcmpnle_uqss vcmpord_sss vcmpeq_usss vcmpnge_uqss vcmpngt_uqss vcmp\
+false_osss vcmpneq_osss vcmpge_oqss vcmpgt_oqss vcmptrue_usss vcmpss vcomisd vcomiss vcvtdq2pd vcvtdq2ps vcvtpd2dq vcvtpd2ps vcvtps2dq vcvtps2pd vcvtsd2si vcvtsd2ss vcvtsi2sd vcvtsi2ss vcvtss2sd vcvtss2si vcvttpd2dq vcvttps2dq vcvttsd2si vcvttss2si vdivpd vdivps vdivsd vdivss vdppd vdpps vextractf128 vextractps vhaddpd vhaddps vhsubpd vhsubps vinsertf128 vinsertps vlddqu vldqqu vldmxcsr vmaskmovdqu vmaskmovps vmaskmovpd vmaxpd vmaxps vmaxsd vmaxss vminpd vminps vminsd vminss vmovapd vmovaps vmov\
+d vmovq vmovddup vmovdqa vmovqqa vmovdqu vmovqqu vmovhlps vmovhpd vmovhps vmovlhps vmovlpd vmovlps vmovmskpd vmovmskps vmovntdq vmovntqq vmovntdqa vmovntpd vmovntps vmovsd vmovshdup vmovsldup vmovss vmovupd vmovups vmpsadbw vmulpd vmulps vmulsd vmulss vorpd vorps vpabsb vpabsw vpabsd vpacksswb vpackssdw vpackuswb vpackusdw vpaddb vpaddw vpaddd vpaddq vpaddsb vpaddsw vpaddusb vpaddusw vpalignr vpand vpandn vpavgb vpavgw vpblendvb vpblendw vpcmpestri vpcmpestrm vpcmpistri vpcmpistrm vpcmpeqb vpcmp\
+eqw vpcmpeqd vpcmpeqq vpcmpgtb vpcmpgtw vpcmpgtd vpcmpgtq vpermilpd vpermilps vperm2f128 vpextrb vpextrw vpextrd vpextrq vphaddw vphaddd vphaddsw vphminposuw vphsubw vphsubd vphsubsw vpinsrb vpinsrw vpinsrd vpinsrq vpmaddwd vpmaddubsw vpmaxsb vpmaxsw vpmaxsd vpmaxub vpmaxuw vpmaxud vpminsb vpminsw vpminsd vpminub vpminuw vpminud vpmovmskb vpmovsxbw vpmovsxbd vpmovsxbq vpmovsxwd vpmovsxwq vpmovsxdq vpmovzxbw vpmovzxbd vpmovzxbq vpmovzxwd vpmovzxwq vpmovzxdq vpmulhuw vpmulhrsw vpmulhw vpmullw vpmu\
+lld vpmuludq vpmuldq vpor vpsadbw vpshufb vpshufd vpshufhw vpshuflw vpsignb vpsignw vpsignd vpslldq vpsrldq vpsllw vpslld vpsllq vpsraw vpsrad vpsrlw vpsrld vpsrlq vptest vpsubb vpsubw vpsubd vpsubq vpsubsb vpsubsw vpsubusb vpsubusw vpunpckhbw vpunpckhwd vpunpckhdq vpunpckhqdq vpunpcklbw vpunpcklwd vpunpckldq vpunpcklqdq vpxor vrcpps vrcpss vrsqrtps vrsqrtss vroundpd vroundps vroundsd vroundss vshufpd vshufps vsqrtpd vsqrtps vsqrtsd vsqrtss vstmxcsr vsubpd vsubps vsubsd vsubss vtestps vtestpd vu\
+comisd vucomiss vunpckhpd vunpckhps vunpcklpd vunpcklps vxorpd vxorps vzeroall vzeroupper pclmullqlqdq pclmulhqlqdq pclmullqhqdq pclmulhqhqdq pclmulqdq vpclmullqlqdq vpclmulhqlqdq vpclmullqhqdq vpclmulhqhqdq vpclmulqdq vfmadd132ps vfmadd132pd vfmadd312ps vfmadd312pd vfmadd213ps vfmadd213pd vfmadd123ps vfmadd123pd vfmadd231ps vfmadd231pd vfmadd321ps vfmadd321pd vfmaddsub132ps vfmaddsub132pd vfmaddsub312ps vfmaddsub312pd vfmaddsub213ps vfmaddsub213pd vfmaddsub123ps vfmaddsub123pd vfmaddsub231ps vf\
+maddsub231pd vfmaddsub321ps vfmaddsub321pd vfmsub132ps vfmsub132pd vfmsub312ps vfmsub312pd vfmsub213ps vfmsub213pd vfmsub123ps vfmsub123pd vfmsub231ps vfmsub231pd vfmsub321ps vfmsub321pd vfmsubadd132ps vfmsubadd132pd vfmsubadd312ps vfmsubadd312pd vfmsubadd213ps vfmsubadd213pd vfmsubadd123ps vfmsubadd123pd vfmsubadd231ps vfmsubadd231pd vfmsubadd321ps vfmsubadd321pd vfnmadd132ps vfnmadd132pd vfnmadd312ps vfnmadd312pd vfnmadd213ps vfnmadd213pd vfnmadd123ps vfnmadd123pd vfnmadd231ps vfnmadd231pd vfn\
+madd321ps vfnmadd321pd vfnmsub132ps vfnmsub132pd vfnmsub312ps vfnmsub312pd vfnmsub213ps vfnmsub213pd vfnmsub123ps vfnmsub123pd vfnmsub231ps vfnmsub231pd vfnmsub321ps vfnmsub321pd vfmadd132ss vfmadd132sd vfmadd312ss vfmadd312sd vfmadd213ss vfmadd213sd vfmadd123ss vfmadd123sd vfmadd231ss vfmadd231sd vfmadd321ss vfmadd321sd vfmsub132ss vfmsub132sd vfmsub312ss vfmsub312sd vfmsub213ss vfmsub213sd vfmsub123ss vfmsub123sd vfmsub231ss vfmsub231sd vfmsub321ss vfmsub321sd vfnmadd132ss vfnmadd132sd vfnmadd\
+312ss vfnmadd312sd vfnmadd213ss vfnmadd213sd vfnmadd123ss vfnmadd123sd vfnmadd231ss vfnmadd231sd vfnmadd321ss vfnmadd321sd vfnmsub132ss vfnmsub132sd vfnmsub312ss vfnmsub312sd vfnmsub213ss vfnmsub213sd vfnmsub123ss vfnmsub123sd vfnmsub231ss vfnmsub231sd vfnmsub321ss vfnmsub321sd rdfsbase rdgsbase rdrand wrfsbase wrgsbase vcvtph2ps vcvtps2ph adcx adox rdseed clac stac xstore xcryptecb xcryptcbc xcryptctr xcryptcfb xcryptofb montmul xsha1 xsha256 llwpcb slwpcb lwpval lwpins vfmaddpd vfmaddps vfmadd\
+sd vfmaddss vfmaddsubpd vfmaddsubps vfmsubaddpd vfmsubaddps vfmsubpd vfmsubps vfmsubsd vfmsubss vfnmaddpd vfnmaddps vfnmaddsd vfnmaddss vfnmsubpd vfnmsubps vfnmsubsd vfnmsubss vfrczpd vfrczps vfrczsd vfrczss vpcmov vpcomb vpcomd vpcomq vpcomub vpcomud vpcomuq vpcomuw vpcomw vphaddbd vphaddbq vphaddbw vphadddq vphaddubd vphaddubq vphaddubw vphaddudq vphadduwd vphadduwq vphaddwd vphaddwq vphsubbw vphsubdq vphsubwd vpmacsdd vpmacsdqh vpmacsdql vpmacssdd vpmacssdqh vpmacssdql vpmacsswd vpmacssww vpm\
+acswd vpmacsww vpmadcsswd vpmadcswd vpperm vprotb vprotd vprotq vprotw vpshab vpshad vpshaq vpshaw vpshlb vpshld vpshlq vpshlw vbroadcasti128 vpblendd vpbroadcastb vpbroadcastw vpbroadcastd vpbroadcastq vpermd vpermpd vpermps vpermq vperm2i128 vextracti128 vinserti128 vpmaskmovd vpmaskmovq vpsllvd vpsllvq vpsravd vpsrlvd vpsrlvq vgatherdpd vgatherqpd vgatherdps vgatherqps vpgatherdd vpgatherqd vpgatherdq vpgatherqq xabort xbegin xend xtest andn bextr blci blcic blsi blsic blcfill blsfill blcmsk \
+blsmsk blsr blcs bzhi mulx pdep pext rorx sarx shlx shrx tzcnt tzmsk t1mskc valignd valignq vblendmpd vblendmps vbroadcastf32x4 vbroadcastf64x4 vbroadcasti32x4 vbroadcasti64x4 vcompresspd vcompressps vcvtpd2udq vcvtps2udq vcvtsd2usi vcvtss2usi vcvttpd2udq vcvttps2udq vcvttsd2usi vcvttss2usi vcvtudq2pd vcvtudq2ps vcvtusi2sd vcvtusi2ss vexpandpd vexpandps vextractf32x4 vextractf64x4 vextracti32x4 vextracti64x4 vfixupimmpd vfixupimmps vfixupimmsd vfixupimmss vgetexppd vgetexpps vgetexpsd vgetexpss \
+vgetmantpd vgetmantps vgetmantsd vgetmantss vinsertf32x4 vinsertf64x4 vinserti32x4 vinserti64x4 vmovdqa32 vmovdqa64 vmovdqu32 vmovdqu64 vpabsq vpandd vpandnd vpandnq vpandq vpblendmd vpblendmq vpcmpltd vpcmpled vpcmpneqd vpcmpnltd vpcmpnled vpcmpd vpcmpltq vpcmpleq vpcmpneqq vpcmpnltq vpcmpnleq vpcmpq vpcmpequd vpcmpltud vpcmpleud vpcmpnequd vpcmpnltud vpcmpnleud vpcmpud vpcmpequq vpcmpltuq vpcmpleuq vpcmpnequq vpcmpnltuq vpcmpnleuq vpcmpuq vpcompressd vpcompressq vpermi2d vpermi2pd vpermi2ps vp\
+ermi2q vpermt2d vpermt2pd vpermt2ps vpermt2q vpexpandd vpexpandq vpmaxsq vpmaxuq vpminsq vpminuq vpmovdb vpmovdw vpmovqb vpmovqd vpmovqw vpmovsdb vpmovsdw vpmovsqb vpmovsqd vpmovsqw vpmovusdb vpmovusdw vpmovusqb vpmovusqd vpmovusqw vpord vporq vprold vprolq vprolvd vprolvq vprord vprorq vprorvd vprorvq vpscatterdd vpscatterdq vpscatterqd vpscatterqq vpsraq vpsravq vpternlogd vpternlogq vptestmd vptestmq vptestnmd vptestnmq vpxord vpxorq vrcp14pd vrcp14ps vrcp14sd vrcp14ss vrndscalepd vrndscaleps\
+ vrndscalesd vrndscaless vrsqrt14pd vrsqrt14ps vrsqrt14sd vrsqrt14ss vscalefpd vscalefps vscalefsd vscalefss vscatterdpd vscatterdps vscatterqpd vscatterqps vshuff32x4 vshuff64x2 vshufi32x4 vshufi64x2 kandnw kandw kmovw knotw kortestw korw kshiftlw kshiftrw kunpckbw kxnorw kxorw vpbroadcastmb2q vpbroadcastmw2d vpconflictd vpconflictq vplzcntd vplzcntq vexp2pd vexp2ps vrcp28pd vrcp28ps vrcp28sd vrcp28ss vrsqrt28pd vrsqrt28ps vrsqrt28sd vrsqrt28ss vgatherpf0dpd vgatherpf0dps vgatherpf0qpd vgatherp\
+f0qps vgatherpf1dpd vgatherpf1dps vgatherpf1qpd vgatherpf1qps vscatterpf0dpd vscatterpf0dps vscatterpf0qpd vscatterpf0qps vscatterpf1dpd vscatterpf1dps vscatterpf1qpd vscatterpf1qps prefetchwt1 bndmk bndcl bndcu bndcn bndmov bndldx bndstx sha1rnds4 sha1nexte sha1msg1 sha1msg2 sha256rnds2 sha256msg1 sha256msg2 hint_nop0 hint_nop1 hint_nop2 hint_nop3 hint_nop4 hint_nop5 hint_nop6 hint_nop7 hint_nop8 hint_nop9 hint_nop10 hint_nop11 hint_nop12 hint_nop13 hint_nop14 hint_nop15 hint_nop16 hint_nop17 h\
+int_nop18 hint_nop19 hint_nop20 hint_nop21 hint_nop22 hint_nop23 hint_nop24 hint_nop25 hint_nop26 hint_nop27 hint_nop28 hint_nop29 hint_nop30 hint_nop31 hint_nop32 hint_nop33 hint_nop34 hint_nop35 hint_nop36 hint_nop37 hint_nop38 hint_nop39 hint_nop40 hint_nop41 hint_nop42 hint_nop43 hint_nop44 hint_nop45 hint_nop46 hint_nop47 hint_nop48 hint_nop49 hint_nop50 hint_nop51 hint_nop52 hint_nop53 hint_nop54 hint_nop55 hint_nop56 hint_nop57 hint_nop58 hint_nop59 hint_nop60 hint_nop61 hint_nop62 hint_n\
+op63",built_in:"ip eip rip al ah bl bh cl ch dl dh sil dil bpl spl r8b r9b r10b r11b r12b r13b r14b r15b ax bx cx dx si di bp sp r8w r9w r10w r11w r12w r13w r14w r15w eax ebx ecx edx esi edi ebp esp eip r8d r9d r10d r11d r12d r13d r14d r15d rax rbx rcx rdx rsi rdi rbp rsp r8 r9 r10 r11 r12 r13 r14 r15 cs ds es fs gs ss st st0 st1 st2 st3 st4 st5 st6 st7 mm0 mm1 mm2 mm3 mm4 mm5 mm6 mm7 xmm0  xmm1  xmm2  xmm3  xmm4  xmm5  xmm6  xmm7  xmm8  xmm9 xmm10  xmm11 xmm12 xmm13 xmm14 xmm15 xmm16 xmm17 xmm1\
+8 xmm19 xmm20 xmm21 xmm22 xmm23 xmm24 xmm25 xmm26 xmm27 xmm28 xmm29 xmm30 xmm31 ymm0  ymm1  ymm2  ymm3  ymm4  ymm5  ymm6  ymm7  ymm8  ymm9 ymm10  ymm11 ymm12 ymm13 ymm14 ymm15 ymm16 ymm17 ymm18 ymm19 ymm20 ymm21 ymm22 ymm23 ymm24 ymm25 ymm26 ymm27 ymm28 ymm29 ymm30 ymm31 zmm0  zmm1  zmm2  zmm3  zmm4  zmm5  zmm6  zmm7  zmm8  zmm9 zmm10  zmm11 zmm12 zmm13 zmm14 zmm15 zmm16 zmm17 zmm18 zmm19 zmm20 zmm21 zmm22 zmm23 zmm24 zmm25 zmm26 zmm27 zmm28 zmm29 zmm30 zmm31 k0 k1 k2 k3 k4 k5 k6 k7 bnd0 bnd1 bn\
+d2 bnd3 cr0 cr1 cr2 cr3 cr4 cr8 dr0 dr1 dr2 dr3 dr8 tr3 tr4 tr5 tr6 tr7 r0 r1 r2 r3 r4 r5 r6 r7 r0b r1b r2b r3b r4b r5b r6b r7b r0w r1w r2w r3w r4w r5w r6w r7w r0d r1d r2d r3d r4d r5d r6d r7d r0h r1h r2h r3h r0l r1l r2l r3l r4l r5l r6l r7l r8l r9l r10l r11l r12l r13l r14l r15l db dw dd dq dt ddq do dy dz resb resw resd resq rest resdq reso resy resz incbin equ times byte word dword qword nosplit rel abs seg wrt strict near far a32 ptr",meta:"%define %xdefine %+ %undef %defstr %deftok %assign %st\
+rcat %strlen %substr %rotate %elif %else %endif %if %ifmacro %ifctx %ifidn %ifidni %ifid %ifnum %ifstr %iftoken %ifempty %ifenv %error %warning %fatal %rep %endrep %include %push %pop %repl %pathsearch %depend %use %arg %stacksize %local %line %comment %endcomment .nolist __FILE__ __LINE__ __SECT__  __BITS__ __OUTPUT_FORMAT__ __DATE__ __TIME__ __DATE_NUM__ __TIME_NUM__ __UTC_DATE__ __UTC_TIME__ __UTC_DATE_NUM__ __UTC_TIME_NUM__  __PASS__ struc endstruc istruc at iend align alignb sectalign daz n\
+odaz up down zero default option assume public bits use16 use32 use64 default section segment absolute extern global common cpu float __utf16__ __utf16le__ __utf16be__ __utf32__ __utf32le__ __utf32be__ __float8__ __float16__ __float32__ __float64__ __float80m__ __float80e__ __float128l__ __float128h__ __Infinity__ __QNaN__ __SNaN__ Inf NaN QNaN SNaN float8 float16 float32 float64 float80m float80e float128l float128h __FLOAT_DAZ__ __FLOAT_ROUND__ __FLOAT__"},contains:[hljs.COMMENT(";","$",{relevance:0}),
+{className:"number",variants:[{begin:"\\b(?:([0-9][0-9_]*)?\\.[0-9_]*(?:[eE][+-]?[0-9_]+)?|(0[Xx])?[0-9][0-9_]*(\\.[0-9_]*)?(?:[pP](?:[+-]?[0-9_]+)?)?)\\b",relevance:0},{begin:"\\$[0-9][0-9A-Fa-f]*",relevance:0},{begin:"\\b(?:[0-9A-Fa-f][0-9A-Fa-f_]*[Hh]|[0-9][0-9_]*[DdTt]?|[0-7][0-7_]*[QqOo]|[0-1][0-1_]*[BbYy])\\b"},{begin:"\\b(?:0[Xx][0-9A-Fa-f_]+|0[DdTt][0-9_]+|0[QqOo][0-7_]+|0[BbYy][0-1_]+)\\b"}]},hljs.QUOTE_STRING_MODE,{className:"string",variants:[{begin:"'",end:"[^\\\\]'"},{begin:"`",end:"\
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+then(response=>{if(typeof response=="object"&&response&&"ok"in response&&typeof response.ok=="boolean"&&!response.ok){shouldDismiss=!1;const message=constructPromiseErrorMessage(response);this.create({id:id2,type:"error",message})}else if(data.success!==void 0){shouldDismiss=!1;const message=typeof data.success=="function"?data.success(response):data.success;this.create({id:id2,type:"success",message})}}).catch(error2=>{if(data.error!==void 0){shouldDismiss=!1;const message=typeof data.error=="f\
+unction"?data.error(error2):data.error;this.create({id:id2,type:"error",message})}}).finally(()=>{shouldDismiss&&(this.dismiss(id2),id2=void 0),data.finally?.()}),id2};custom=(component2,data)=>{const id2=data?.id||toastsCounter++;return this.create({component:component2,id:id2,...data}),id2};removeHeight=id2=>{this.heights=this.heights.filter(height=>height.toastId!==id2)};setHeight=data=>{const toastIdx=this.#findToastIdx(data.toastId);if(toastIdx===null){this.heights.push(data);return}this.heights[toastIdx]=
+data};reset=()=>{this.toasts=[],this.heights=[]}}function constructPromiseErrorMessage(response){return response&&typeof response=="object"&&"status"in response?`HTTP error! Status: ${response.status}`:`Error! ${response}`}const toastState=new ToastState;function toastFunction(message,data){return toastState.create({message,...data})}class SonnerState{#activeToasts=user_derived(()=>toastState.toasts.filter(toast2=>!toast2.dismiss));get toasts(){return get$4(this.#activeToasts)}}const basicToast=toastFunction,
+toast=Object.assign(basicToast,{success:toastState.success,info:toastState.info,warning:toastState.warning,error:toastState.error,custom:toastState.custom,message:toastState.message,promise:toastState.promise,dismiss:toastState.dismiss,loading:toastState.loading,getActiveToasts:()=>toastState.toasts.filter(toast2=>!toast2.dismiss)});function isAction(action2){return action2.label!==void 0}function useDocumentHidden(){let current2=state$1(proxy(typeof document<"u"?document.hidden:!1));return user_effect(
+()=>on(document,"visibilitychange",()=>{set$1(current2,document.hidden,!0)})),{get current(){return get$4(current2)}}}const TOAST_LIFETIME$1=4e3,GAP$1=14,SWIPE_THRESHOLD=45,TIME_BEFORE_UNMOUNT=200,SCALE_MULTIPLIER=.05,DEFAULT_TOAST_CLASSES={toast:"",title:"",description:"",loader:"",closeButton:"",cancelButton:"",actionButton:"",action:"",warning:"",error:"",success:"",default:"",info:"",loading:""};function getDefaultSwipeDirections(position2){const[y,x]=position2.split("-"),directions=[];return y&&
+directions.push(y),x&&directions.push(x),directions}function getDampening(delta){return 1/(1.5+Math.abs(delta)/20)}var root_2$17=from_html("<div><!></div>"),root_4$y=from_html('<button data-close-button=""><!></button>'),root_7$s=from_html('<div data-icon=""><!> <!></div>'),root_24$4=from_html('<div data-description=""><!></div>'),root_30$3=from_html('<button data-button="" data-cancel=""> </button>'),root_34$1=from_html('<button data-button=""> </button>'),root_6$A=from_html('<!> <div data-cont\
+ent=""><div data-title=""><!></div> <!></div> <!> <!>',1),root$1D=from_html('<li data-sonner-toast=""><!> <!></li>');function Toast($$anchor,$$props){push$1($$props,!0);const LoadingIcon=$$anchor2=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$17(),node_1=child(div);snippet(node_1,()=>$$props.loadingIcon),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",get$4(toastType)==="loading")},[()=>clsx(cn(get$4(classes)?.
+loader,$$props.toast?.classes?.loader,"sonner-loader"))]),append($$anchor3,div)},alternate=$$anchor3=>{{let $0=user_derived(()=>cn(get$4(classes)?.loader,$$props.toast.classes?.loader)),$1=user_derived(()=>get$4(toastType)==="loading");Loader($$anchor3,{get class(){return get$4($0)},get visible(){return get$4($1)}})}};if_block(node2,$$render=>{$$props.loadingIcon?$$render(consequent):$$render(alternate,!1)})}append($$anchor2,fragment)};let cancelButtonStyle=prop($$props,"cancelButtonStyle",3,""),
+actionButtonStyle=prop($$props,"actionButtonStyle",3,""),descriptionClass=prop($$props,"descriptionClass",3,""),unstyled=prop($$props,"unstyled",3,!1),defaultRichColors=prop($$props,"defaultRichColors",3,!1);const defaultClasses={...DEFAULT_TOAST_CLASSES};let mounted=state$1(!1),removed=state$1(!1),swiping=state$1(!1),swipeOut=state$1(!1),isSwiped=state$1(!1),offsetBeforeRemove=state$1(0),initialHeight=state$1(0),remainingTime=$$props.toast.duration||$$props.duration||TOAST_LIFETIME$1,toastRef=state$1(
+void 0),swipeDirection=state$1(null),swipeOutDirection=state$1(null);const isFront=user_derived(()=>$$props.index===0),isVisible=user_derived(()=>$$props.index+1<=$$props.visibleToasts),toastType=user_derived(()=>$$props.toast.type),dismissable=user_derived(()=>$$props.toast.dismissable!==!1),toastClass=user_derived(()=>$$props.toast.class||""),toastDescriptionClass=user_derived(()=>$$props.toast.descriptionClass||""),heightIndex=user_derived(()=>toastState.heights.findIndex(height=>height.toastId===
+$$props.toast.id)||0),closeButton=user_derived(()=>$$props.toast.closeButton??$$props.closeButton),duration2=user_derived(()=>$$props.toast.duration??$$props.duration??TOAST_LIFETIME$1);let pointerStart=null;const coords=user_derived(()=>$$props.position.split("-")),toastsHeightBefore=user_derived(()=>toastState.heights.reduce((prev2,curr,reducerIndex)=>reducerIndex>=get$4(heightIndex)?prev2:prev2+curr.height,0)),isDocumentHidden=useDocumentHidden(),invert=user_derived(()=>$$props.toast.invert||
+$$props.invert),disabled=user_derived(()=>get$4(toastType)==="loading"),classes=user_derived(()=>({...defaultClasses,...$$props.classes})),toastTitle=user_derived(()=>$$props.toast.title),toastDescription=user_derived(()=>$$props.toast.description);let closeTimerStartTime=state$1(0),lastCloseTimerStartTime=state$1(0);const offset2=user_derived(()=>Math.round(get$4(heightIndex)*GAP$1+get$4(toastsHeightBefore)));user_effect(()=>{get$4(toastTitle),get$4(toastDescription);let scale2;$$props.expanded||
+$$props.expandByDefault?scale2=1:scale2=1-$$props.index*SCALE_MULTIPLIER;const toastEl=untrack$1(()=>get$4(toastRef));if(toastEl===void 0)return;toastEl.style.setProperty("height","auto");const offsetHeight=toastEl.offsetHeight,rectHeight=toastEl.getBoundingClientRect().height,scaledRectHeight=Math.round(rectHeight/scale2+Number.EPSILON&100)/100;toastEl.style.removeProperty("height");let finalHeight;Math.abs(scaledRectHeight-offsetHeight)<1?finalHeight=scaledRectHeight:finalHeight=offsetHeight,set$1(
+initialHeight,finalHeight,!0),untrack$1(()=>{toastState.setHeight({toastId:$$props.toast.id,height:finalHeight})})});function deleteToast(){set$1(removed,!0),set$1(offsetBeforeRemove,get$4(offset2),!0),toastState.removeHeight($$props.toast.id),setTimeout(()=>{toastState.remove($$props.toast.id)},TIME_BEFORE_UNMOUNT)}let timeoutId;const isPromiseLoadingOrInfiniteDuration=user_derived(()=>$$props.toast.promise&&get$4(toastType)==="loading"||$$props.toast.duration===Number.POSITIVE_INFINITY);function startTimer(){
+set$1(closeTimerStartTime,new Date().getTime(),!0),timeoutId=setTimeout(()=>{$$props.toast.onAutoClose?.($$props.toast),deleteToast()},remainingTime)}function pauseTimer(){if(get$4(lastCloseTimerStartTime)<get$4(closeTimerStartTime)){const elapsedTime=new Date().getTime()-get$4(closeTimerStartTime);remainingTime=remainingTime-elapsedTime}set$1(lastCloseTimerStartTime,new Date().getTime(),!0)}user_effect(()=>{$$props.toast.updated&&(clearTimeout(timeoutId),remainingTime=get$4(duration2),startTimer())}),
+user_effect(()=>(get$4(isPromiseLoadingOrInfiniteDuration)||($$props.expanded||$$props.interacting||isDocumentHidden.current?pauseTimer():startTimer()),()=>clearTimeout(timeoutId))),onMount$1(()=>{set$1(mounted,!0);const height=get$4(toastRef)?.getBoundingClientRect().height;return set$1(initialHeight,height,!0),toastState.setHeight({toastId:$$props.toast.id,height}),()=>{toastState.removeHeight($$props.toast.id)}}),user_effect(()=>{$$props.toast.delete&&untrack$1(()=>{deleteToast(),$$props.toast.
+onDismiss?.($$props.toast)})});const handlePointerDown=event2=>{if(get$4(disabled))return;set$1(offsetBeforeRemove,get$4(offset2),!0);const target2=event2.target;target2.setPointerCapture(event2.pointerId),target2.tagName!=="BUTTON"&&(set$1(swiping,!0),pointerStart={x:event2.clientX,y:event2.clientY})},handlePointerUp=()=>{if(get$4(swipeOut)||!get$4(dismissable))return;pointerStart=null;const swipeAmountX=Number(get$4(toastRef)?.style.getPropertyValue("--swipe-amount-x").replace("px","")||0),swipeAmountY=Number(
+get$4(toastRef)?.style.getPropertyValue("--swipe-amount-y").replace("px","")||0),timeTaken=new Date().getTime()-0,swipeAmount=get$4(swipeDirection)==="x"?swipeAmountX:swipeAmountY,velocity=Math.abs(swipeAmount)/timeTaken;if(Math.abs(swipeAmount)>=SWIPE_THRESHOLD||velocity>.11){set$1(offsetBeforeRemove,get$4(offset2),!0),$$props.toast.onDismiss?.($$props.toast),get$4(swipeDirection)==="x"?set$1(swipeOutDirection,swipeAmountX>0?"right":"left",!0):set$1(swipeOutDirection,swipeAmountY>0?"down":"up",
+!0),deleteToast(),set$1(swipeOut,!0);return}else get$4(toastRef)?.style.setProperty("--swipe-amount-x","0px"),get$4(toastRef)?.style.setProperty("--swipe-amount-y","0px");set$1(isSwiped,!1),set$1(swiping,!1),set$1(swipeDirection,null)},handlePointerMove=event2=>{if(!pointerStart||!get$4(dismissable)||(window.getSelection()?.toString().length??-1)>0)return;const yDelta=event2.clientY-pointerStart.y,xDelta=event2.clientX-pointerStart.x,swipeDirections=$$props.swipeDirections??getDefaultSwipeDirections(
+$$props.position);!get$4(swipeDirection)&&(Math.abs(xDelta)>1||Math.abs(yDelta)>1)&&set$1(swipeDirection,Math.abs(xDelta)>Math.abs(yDelta)?"x":"y",!0);let swipeAmount={x:0,y:0};if(get$4(swipeDirection)==="y"){if(swipeDirections.includes("top")||swipeDirections.includes("bottom"))if(swipeDirections.includes("top")&&yDelta<0||swipeDirections.includes("bottom")&&yDelta>0)swipeAmount.y=yDelta;else{const dampenedDelta=yDelta*getDampening(yDelta);swipeAmount.y=Math.abs(dampenedDelta)<Math.abs(yDelta)?
+dampenedDelta:yDelta}}else if(get$4(swipeDirection)==="x"&&(swipeDirections.includes("left")||swipeDirections.includes("right")))if(swipeDirections.includes("left")&&xDelta<0||swipeDirections.includes("right")&&xDelta>0)swipeAmount.x=xDelta;else{const dampenedDelta=xDelta*getDampening(xDelta);swipeAmount.x=Math.abs(dampenedDelta)<Math.abs(xDelta)?dampenedDelta:xDelta}(Math.abs(swipeAmount.x)>0||Math.abs(swipeAmount.y)>0)&&set$1(isSwiped,!0),get$4(toastRef)?.style.setProperty("--swipe-amount-x",`${swipeAmount.
+x}px`),get$4(toastRef)?.style.setProperty("--swipe-amount-y",`${swipeAmount.y}px`)},handleDragEnd=()=>{set$1(swiping,!1),set$1(swipeDirection,null),pointerStart=null},icon=user_derived(()=>$$props.toast.icon?$$props.toast.icon:get$4(toastType)==="success"?$$props.successIcon:get$4(toastType)==="error"?$$props.errorIcon:get$4(toastType)==="warning"?$$props.warningIcon:get$4(toastType)==="info"?$$props.infoIcon:get$4(toastType)==="loading"?$$props.loadingIcon:null);var li2=root$1D();set_attribute(
+li2,"tabindex",0);let styles2;li2.__pointermove=handlePointerMove,li2.__pointerup=handlePointerUp,li2.__pointerdown=handlePointerDown;var node_2=child(li2);{var consequent_1=$$anchor2=>{var button=root_4$y();button.__click=()=>{get$4(disabled)||!get$4(dismissable)||(deleteToast(),$$props.toast.onDismiss?.($$props.toast))};var node_3=child(button);snippet(node_3,()=>$$props.closeIcon??noop$3),reset(button),template_effect($0=>{set_attribute(button,"aria-label",$$props.closeButtonAriaLabel),set_attribute(
+button,"data-disabled",get$4(disabled)),set_class(button,1,$0)},[()=>clsx(cn(get$4(classes)?.closeButton,$$props.toast?.classes?.closeButton))]),append($$anchor2,button)};if_block(node_2,$$render=>{get$4(closeButton)&&!$$props.toast.component&&get$4(toastType)!=="loading"&&$$props.closeIcon!==null&&$$render(consequent_1)})}var node_4=sibling(node_2,2);{var consequent_2=$$anchor2=>{const Component=user_derived(()=>$$props.toast.component);var fragment_2=comment$2(),node_5=first_child(fragment_2);
+component(node_5,()=>get$4(Component),($$anchor3,Component_1)=>{Component_1($$anchor3,spread_props(()=>$$props.toast.componentProps,{closeToast:deleteToast}))}),append($$anchor2,fragment_2)},alternate_10=$$anchor2=>{var fragment_3=root_6$A(),node_6=first_child(fragment_3);{var consequent_11=$$anchor3=>{var div_1=root_7$s(),node_7=child(div_1);{var consequent_4=$$anchor4=>{var fragment_4=comment$2(),node_8=first_child(fragment_4);{var consequent_3=$$anchor5=>{var fragment_5=comment$2(),node_9=first_child(
+fragment_5);component(node_9,()=>$$props.toast.icon,($$anchor6,toast_icon)=>{toast_icon($$anchor6,{})}),append($$anchor5,fragment_5)},alternate_1=$$anchor5=>{LoadingIcon($$anchor5)};if_block(node_8,$$render=>{$$props.toast.icon?$$render(consequent_3):$$render(alternate_1,!1)})}append($$anchor4,fragment_4)};if_block(node_7,$$render=>{($$props.toast.promise||get$4(toastType)==="loading")&&$$render(consequent_4)})}var node_10=sibling(node_7,2);{var consequent_10=$$anchor4=>{var fragment_7=comment$2(),
+node_11=first_child(fragment_7);{var consequent_5=$$anchor5=>{var fragment_8=comment$2(),node_12=first_child(fragment_8);component(node_12,()=>$$props.toast.icon,($$anchor6,toast_icon_1)=>{toast_icon_1($$anchor6,{})}),append($$anchor5,fragment_8)},alternate_5=$$anchor5=>{var fragment_9=comment$2(),node_13=first_child(fragment_9);{var consequent_6=$$anchor6=>{var fragment_10=comment$2(),node_14=first_child(fragment_10);snippet(node_14,()=>$$props.successIcon??noop$3),append($$anchor6,fragment_10)},
+alternate_4=$$anchor6=>{var fragment_11=comment$2(),node_15=first_child(fragment_11);{var consequent_7=$$anchor7=>{var fragment_12=comment$2(),node_16=first_child(fragment_12);snippet(node_16,()=>$$props.errorIcon??noop$3),append($$anchor7,fragment_12)},alternate_3=$$anchor7=>{var fragment_13=comment$2(),node_17=first_child(fragment_13);{var consequent_8=$$anchor8=>{var fragment_14=comment$2(),node_18=first_child(fragment_14);snippet(node_18,()=>$$props.warningIcon??noop$3),append($$anchor8,fragment_14)},
+alternate_2=$$anchor8=>{var fragment_15=comment$2(),node_19=first_child(fragment_15);{var consequent_9=$$anchor9=>{var fragment_16=comment$2(),node_20=first_child(fragment_16);snippet(node_20,()=>$$props.infoIcon??noop$3),append($$anchor9,fragment_16)};if_block(node_19,$$render=>{get$4(toastType)==="info"&&$$render(consequent_9)},!0)}append($$anchor8,fragment_15)};if_block(node_17,$$render=>{get$4(toastType)==="warning"?$$render(consequent_8):$$render(alternate_2,!1)},!0)}append($$anchor7,fragment_13)};
+if_block(node_15,$$render=>{get$4(toastType)==="error"?$$render(consequent_7):$$render(alternate_3,!1)},!0)}append($$anchor6,fragment_11)};if_block(node_13,$$render=>{get$4(toastType)==="success"?$$render(consequent_6):$$render(alternate_4,!1)},!0)}append($$anchor5,fragment_9)};if_block(node_11,$$render=>{$$props.toast.icon?$$render(consequent_5):$$render(alternate_5,!1)})}append($$anchor4,fragment_7)};if_block(node_10,$$render=>{$$props.toast.type!=="loading"&&$$render(consequent_10)})}reset(div_1),
+template_effect($0=>set_class(div_1,1,$0),[()=>clsx(cn(get$4(classes)?.icon,$$props.toast?.classes?.icon))]),append($$anchor3,div_1)};if_block(node_6,$$render=>{(get$4(toastType)||$$props.toast.icon||$$props.toast.promise)&&$$props.toast.icon!==null&&(get$4(icon)!==null||$$props.toast.icon)&&$$render(consequent_11)})}var div_2=sibling(node_6,2),div_3=child(div_2),node_21=child(div_3);{var consequent_13=$$anchor3=>{var fragment_17=comment$2(),node_22=first_child(fragment_17);{var consequent_12=$$anchor4=>{
+const Title=user_derived(()=>$$props.toast.title);var fragment_18=comment$2(),node_23=first_child(fragment_18);component(node_23,()=>get$4(Title),($$anchor5,Title_1)=>{Title_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_18)},alternate_6=$$anchor4=>{var text2=text$8();template_effect(()=>set_text(text2,$$props.toast.title)),append($$anchor4,text2)};if_block(node_22,$$render=>{typeof $$props.toast.title!="string"?$$render(consequent_12):$$render(alternate_6,
+!1)})}append($$anchor3,fragment_17)};if_block(node_21,$$render=>{$$props.toast.title&&$$render(consequent_13)})}reset(div_3);var node_24=sibling(div_3,2);{var consequent_15=$$anchor3=>{var div_4=root_24$4(),node_25=child(div_4);{var consequent_14=$$anchor4=>{const Description=user_derived(()=>$$props.toast.description);var fragment_20=comment$2(),node_26=first_child(fragment_20);component(node_26,()=>get$4(Description),($$anchor5,Description_1)=>{Description_1($$anchor5,spread_props(()=>$$props.
+toast.componentProps))}),append($$anchor4,fragment_20)},alternate_7=$$anchor4=>{var text_1=text$8();template_effect(()=>set_text(text_1,$$props.toast.description)),append($$anchor4,text_1)};if_block(node_25,$$render=>{typeof $$props.toast.description!="string"?$$render(consequent_14):$$render(alternate_7,!1)})}reset(div_4),template_effect($0=>set_class(div_4,1,$0),[()=>clsx(cn(descriptionClass(),get$4(toastDescriptionClass),get$4(classes)?.description,$$props.toast.classes?.description))]),append(
+$$anchor3,div_4)};if_block(node_24,$$render=>{$$props.toast.description&&$$render(consequent_15)})}reset(div_2);var node_27=sibling(div_2,2);{var consequent_18=$$anchor3=>{var fragment_22=comment$2(),node_28=first_child(fragment_22);{var consequent_16=$$anchor4=>{var fragment_23=comment$2(),node_29=first_child(fragment_23);component(node_29,()=>$$props.toast.cancel,($$anchor5,toast_cancel)=>{toast_cancel($$anchor5,{})}),append($$anchor4,fragment_23)},alternate_8=$$anchor4=>{var fragment_24=comment$2(),
+node_30=first_child(fragment_24);{var consequent_17=$$anchor5=>{var button_1=root_30$3();button_1.__click=event2=>{isAction($$props.toast.cancel)&&get$4(dismissable)&&($$props.toast.cancel?.onClick?.(event2),deleteToast())};var text_2=child(button_1,!0);reset(button_1),template_effect($0=>{set_style(button_1,$$props.toast.cancelButtonStyle??cancelButtonStyle()),set_class(button_1,1,$0),set_text(text_2,$$props.toast.cancel.label)},[()=>clsx(cn(get$4(classes)?.cancelButton,$$props.toast?.classes?.
+cancelButton))]),append($$anchor5,button_1)};if_block(node_30,$$render=>{isAction($$props.toast.cancel)&&$$render(consequent_17)},!0)}append($$anchor4,fragment_24)};if_block(node_28,$$render=>{typeof $$props.toast.cancel=="function"?$$render(consequent_16):$$render(alternate_8,!1)})}append($$anchor3,fragment_22)};if_block(node_27,$$render=>{$$props.toast.cancel&&$$render(consequent_18)})}var node_31=sibling(node_27,2);{var consequent_21=$$anchor3=>{var fragment_25=comment$2(),node_32=first_child(
+fragment_25);{var consequent_19=$$anchor4=>{var fragment_26=comment$2(),node_33=first_child(fragment_26);component(node_33,()=>$$props.toast.action,($$anchor5,toast_action)=>{toast_action($$anchor5,{})}),append($$anchor4,fragment_26)},alternate_9=$$anchor4=>{var fragment_27=comment$2(),node_34=first_child(fragment_27);{var consequent_20=$$anchor5=>{var button_2=root_34$1();button_2.__click=event2=>{isAction($$props.toast.action)&&($$props.toast.action?.onClick(event2),!event2.defaultPrevented&&deleteToast())};
+var text_3=child(button_2,!0);reset(button_2),template_effect($0=>{set_style(button_2,$$props.toast.actionButtonStyle??actionButtonStyle()),set_class(button_2,1,$0),set_text(text_3,$$props.toast.action.label)},[()=>clsx(cn(get$4(classes)?.actionButton,$$props.toast?.classes?.actionButton))]),append($$anchor5,button_2)};if_block(node_34,$$render=>{isAction($$props.toast.action)&&$$render(consequent_20)},!0)}append($$anchor4,fragment_27)};if_block(node_32,$$render=>{typeof $$props.toast.action=="f\
+unction"?$$render(consequent_19):$$render(alternate_9,!1)})}append($$anchor3,fragment_25)};if_block(node_31,$$render=>{$$props.toast.action&&$$render(consequent_21)})}template_effect($0=>set_class(div_3,1,$0),[()=>clsx(cn(get$4(classes)?.title,$$props.toast?.classes?.title))]),append($$anchor2,fragment_3)};if_block(node_4,$$render=>{$$props.toast.component?$$render(consequent_2):$$render(alternate_10,!1)})}reset(li2),bind_this(li2,$$value=>set$1(toastRef,$$value),()=>get$4(toastRef)),template_effect(
+($0,$1,$2)=>{set_class(li2,1,$0),set_attribute(li2,"data-rich-colors",$$props.toast.richColors??defaultRichColors()),set_attribute(li2,"data-styled",!($$props.toast.component||$$props.toast.unstyled||unstyled())),set_attribute(li2,"data-mounted",get$4(mounted)),set_attribute(li2,"data-promise",$1),set_attribute(li2,"data-swiped",get$4(isSwiped)),set_attribute(li2,"data-removed",get$4(removed)),set_attribute(li2,"data-visible",get$4(isVisible)),set_attribute(li2,"data-y-position",get$4(coords)[0]),
+set_attribute(li2,"data-x-position",get$4(coords)[1]),set_attribute(li2,"data-index",$$props.index),set_attribute(li2,"data-front",get$4(isFront)),set_attribute(li2,"data-swiping",get$4(swiping)),set_attribute(li2,"data-dismissable",get$4(dismissable)),set_attribute(li2,"data-type",get$4(toastType)),set_attribute(li2,"data-invert",get$4(invert)),set_attribute(li2,"data-swipe-out",get$4(swipeOut)),set_attribute(li2,"data-swipe-direction",get$4(swipeOutDirection)),set_attribute(li2,"data-expanded",
+$2),styles2=set_style(li2,`${$$props.style} ${$$props.toast.style}`,styles2,{"--index":$$props.index,"--toasts-before":$$props.index,"--z-index":toastState.toasts.length-$$props.index,"--offset":`${get$4(removed)?get$4(offsetBeforeRemove):get$4(offset2)}px`,"--initial-height":$$props.expandByDefault?"auto":`${get$4(initialHeight)}px`})},[()=>clsx(cn($$props.class,get$4(toastClass),get$4(classes)?.toast,$$props.toast?.classes?.toast,get$4(classes)?.[get$4(toastType)],$$props.toast?.classes?.[get$4(
+toastType)])),()=>!!$$props.toast.promise,()=>!!($$props.expanded||$$props.expandByDefault&&get$4(mounted))]),event("dragend",li2,handleDragEnd),append($$anchor,li2),pop()}delegate(["pointermove","pointerup","pointerdown","click"]);var root$1C=from_svg('<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor" height="20" width="20" data-sonner-success-icon=""><path fill-rule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zm3.857-9.809a.75.75 0 00-1.214-.882l-3.483 4.79-1.88-\
+1.88a.75.75 0 10-1.06 1.061l2.5 2.5a.75.75 0 001.137-.089l4-5.5z" clip-rule="evenodd"></path></svg>');function SuccessIcon($$anchor){var svg2=root$1C();append($$anchor,svg2)}var root$1B=from_svg('<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor" height="20" width="20" data-sonner-error-icon=""><path fill-rule="evenodd" d="M18 10a8 8 0 11-16 0 8 8 0 0116 0zm-8-5a.75.75 0 01.75.75v4.5a.75.75 0 01-1.5 0v-4.5A.75.75 0 0110 5zm0 10a1 1 0 100-2 1 1 0 000 2z" clip-rule="ev\
+enodd"></path></svg>');function ErrorIcon($$anchor){var svg2=root$1B();append($$anchor,svg2)}var root$1A=from_svg('<svg viewBox="0 0 64 64" fill="currentColor" height="20" width="20" data-sonner-warning-icon="" xmlns="http://www.w3.org/2000/svg"><path d="M32.427,7.987c2.183,0.124 4,1.165 5.096,3.281l17.936,36.208c1.739,3.66 -0.954,8.585 -5.373,8.656l-36.119,0c-4.022,-0.064 -7.322,-4.631 -5.352,-8.696l18.271,-36.207c0.342,-0.65 0.498,-0.838 0.793,-1.179c1.186,-1.375 2.483,-2.111 4.748,-2.063Zm-0.\
+295,3.997c-0.687,0.034 -1.316,0.419 -1.659,1.017c-6.312,11.979 -12.397,24.081 -18.301,36.267c-0.546,1.225 0.391,2.797 1.762,2.863c12.06,0.195 24.125,0.195 36.185,0c1.325,-0.064 2.321,-1.584 1.769,-2.85c-5.793,-12.184 -11.765,-24.286 -17.966,-36.267c-0.366,-0.651 -0.903,-1.042 -1.79,-1.03Z"></path><path d="M33.631,40.581l-3.348,0l-0.368,-16.449l4.1,0l-0.384,16.449Zm-3.828,5.03c0,-0.609 0.197,-1.113 0.592,-1.514c0.396,-0.4 0.935,-0.601 1.618,-0.601c0.684,0 1.223,0.201 1.618,0.601c0.395,0.401 0.593\
+,0.905 0.593,1.514c0,0.587 -0.193,1.078 -0.577,1.473c-0.385,0.395 -0.929,0.593 -1.634,0.593c-0.705,0 -1.249,-0.198 -1.634,-0.593c-0.384,-0.395 -0.576,-0.886 -0.576,-1.473Z"></path></svg>');function WarningIcon($$anchor){var svg2=root$1A();append($$anchor,svg2)}var root$1z=from_svg('<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor" height="20" width="20" data-sonner-info-icon=""><path fill-rule="evenodd" d="M18 10a8 8 0 11-16 0 8 8 0 0116 0zm-7-4a1 1 0 11-2 0 1 1 0 0\
+12 0zM9 9a.75.75 0 000 1.5h.253a.25.25 0 01.244.304l-.459 2.066A1.75 1.75 0 0010.747 15H11a.75.75 0 000-1.5h-.253a.25.25 0 01-.244-.304l.459-2.066A1.75 1.75 0 009.253 9H9z" clip-rule="evenodd"></path></svg>');function InfoIcon($$anchor){var svg2=root$1z();append($$anchor,svg2)}var root$1y=from_svg('<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" data-sonner-close\
+-icon=""><line x1="18" y1="6" x2="6" y2="18"></line><line x1="6" y1="6" x2="18" y2="18"></line></svg>');function CloseIcon($$anchor){var svg2=root$1y();append($$anchor,svg2)}const VISIBLE_TOASTS_AMOUNT=3,VIEWPORT_OFFSET="24px",MOBILE_VIEWPORT_OFFSET="16px",TOAST_LIFETIME=4e3,TOAST_WIDTH=356,GAP=14,DARK="dark",LIGHT="light";function getOffsetObject(defaultOffset,mobileOffset){const styles2={};return[defaultOffset,mobileOffset].forEach((offset2,index2)=>{const isMobile=index2===1,prefix=isMobile?"\
+--mobile-offset":"--offset",defaultValue=isMobile?MOBILE_VIEWPORT_OFFSET:VIEWPORT_OFFSET;function assignAll(offset3){["top","right","bottom","left"].forEach(key2=>{styles2[`${prefix}-${key2}`]=typeof offset3=="number"?`${offset3}px`:offset3})}typeof offset2=="number"||typeof offset2=="string"?assignAll(offset2):typeof offset2=="object"?["top","right","bottom","left"].forEach(key2=>{const value=offset2[key2];value===void 0?styles2[`${prefix}-${key2}`]=defaultValue:styles2[`${prefix}-${key2}`]=typeof value==
+"number"?`${value}px`:value}):assignAll(defaultValue)}),styles2}var root_2$16=from_html("<ol></ol>"),root$1x=from_html('<section aria-live="polite" aria-relevant="additions text" aria-atomic="false" class="svelte-nbs0zk"><!></section>');function Toaster($$anchor,$$props){push$1($$props,!0);function getInitialTheme(t){return t!=="system"?t:typeof window<"u"&&window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches?DARK:LIGHT}let invert=prop($$props,"invert",3,!1),position2=prop(
+$$props,"position",3,"bottom-right"),hotkey=prop($$props,"hotkey",19,()=>["altKey","KeyT"]),expand=prop($$props,"expand",3,!1),closeButton=prop($$props,"closeButton",3,!1),offset2=prop($$props,"offset",3,VIEWPORT_OFFSET),mobileOffset=prop($$props,"mobileOffset",3,MOBILE_VIEWPORT_OFFSET),theme=prop($$props,"theme",3,"light"),richColors=prop($$props,"richColors",3,!1),duration2=prop($$props,"duration",3,TOAST_LIFETIME),visibleToasts=prop($$props,"visibleToasts",3,VISIBLE_TOASTS_AMOUNT),toastOptions=prop(
+$$props,"toastOptions",19,()=>({})),dir=prop($$props,"dir",7,"auto"),gap=prop($$props,"gap",3,GAP),containerAriaLabel=prop($$props,"containerAriaLabel",3,"Notifications"),closeButtonAriaLabel=prop($$props,"closeButtonAriaLabel",3,"Close toast"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","invert","position","hotkey","expand","closeButton","offset","mobileOffset","theme","richColors","duration","visibleToasts","toastOptions","dir","gap","loadingIcon","successIcon","errorIcon","w\
+arningIcon","closeIcon","infoIcon","containerAriaLabel","class","closeButtonAriaLabel","onblur","onfocus","onmouseenter","onmousemove","onmouseleave","ondragend","onpointerdown","onpointerup"]);function getDocumentDirection(){if(dir()!=="auto")return dir();if(typeof window>"u"||typeof document>"u")return"ltr";const dirAttribute=document.documentElement.getAttribute("dir");return dirAttribute==="auto"||!dirAttribute?(untrack$1(()=>dir(window.getComputedStyle(document.documentElement).direction??"\
+ltr")),dir()):(untrack$1(()=>dir(dirAttribute)),dirAttribute)}const possiblePositions=user_derived(()=>Array.from(new Set([position2(),...toastState.toasts.filter(toast2=>toast2.position).map(toast2=>toast2.position)].filter(Boolean))));let expanded=state$1(!1),interacting=state$1(!1),actualTheme=state$1(proxy(getInitialTheme(theme()))),listRef=state$1(void 0),lastFocusedElementRef=state$1(null),isFocusWithin=state$1(!1);const hotkeyLabel=user_derived(()=>hotkey().join("+").replace(/Key/g,"").replace(
+/Digit/g,""));user_effect(()=>{toastState.toasts.length<=1&&set$1(expanded,!1)}),user_effect(()=>{const toastsToDismiss=toastState.toasts.filter(toast2=>toast2.dismiss&&!toast2.delete);if(toastsToDismiss.length>0){const updatedToasts=toastState.toasts.map(toast2=>toastsToDismiss.find(dismissToast=>dismissToast.id===toast2.id)?{...toast2,delete:!0}:toast2);toastState.toasts=updatedToasts}}),user_effect(()=>()=>{get$4(listRef)&&get$4(lastFocusedElementRef)&&(get$4(lastFocusedElementRef).focus({preventScroll:!0}),
+set$1(lastFocusedElementRef,null),set$1(isFocusWithin,!1))}),onMount$1(()=>(toastState.reset(),on(document,"keydown",event2=>{hotkey().every(key2=>event2[key2]||event2.code===key2)&&(set$1(expanded,!0),get$4(listRef)?.focus()),event2.code==="Escape"&&(document.activeElement===get$4(listRef)||get$4(listRef)?.contains(document.activeElement))&&set$1(expanded,!1)}))),user_effect(()=>{if(theme()!=="system"&&set$1(actualTheme,theme()),typeof window<"u"){theme()==="system"&&(window.matchMedia&&window.
+matchMedia("(prefers-color-scheme: dark)").matches?set$1(actualTheme,DARK):set$1(actualTheme,LIGHT));const mediaQueryList=window.matchMedia("(prefers-color-scheme: dark)"),changeHandler=({matches:matches2})=>{set$1(actualTheme,matches2?DARK:LIGHT,!0)};"addEventListener"in mediaQueryList?mediaQueryList.addEventListener("change",changeHandler):mediaQueryList.addListener(changeHandler)}});const handleBlur=event2=>{$$props.onblur?.(event2),get$4(isFocusWithin)&&!event2.currentTarget.contains(event2.
+relatedTarget)&&(set$1(isFocusWithin,!1),get$4(lastFocusedElementRef)&&(get$4(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null)))},handleFocus=event2=>{$$props.onfocus?.(event2),!(event2.target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&(get$4(isFocusWithin)||(set$1(isFocusWithin,!0),set$1(lastFocusedElementRef,event2.relatedTarget,!0)))},handlePointerDown=event2=>{$$props.onpointerdown?.(event2),!(event2.target instanceof HTMLElement&&
+event2.target.dataset.dismissable==="false")&&set$1(interacting,!0)},handleMouseEnter=event2=>{$$props.onmouseenter?.(event2),set$1(expanded,!0)},handleMouseLeave=event2=>{$$props.onmouseleave?.(event2),get$4(interacting)||set$1(expanded,!1)},handleMouseMove=event2=>{$$props.onmousemove?.(event2),set$1(expanded,!0)},handleDragEnd=event2=>{$$props.ondragend?.(event2),set$1(expanded,!1)},handlePointerUp=event2=>{$$props.onpointerup?.(event2),set$1(interacting,!1)};sonnerContext.set(new SonnerState);
+var section=root$1x();set_attribute(section,"tabindex",-1);var node2=child(section);{var consequent_10=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);each(node_1,18,()=>get$4(possiblePositions),position3=>position3,($$anchor3,position3,index2,$$array)=>{const computed_const=user_derived(()=>{const[y,x]=position3.split("-");return{y,x}}),offsetObject=user_derived(()=>getOffsetObject(offset2(),mobileOffset()));var ol=root_2$16();attribute_effect(ol,$0=>({tabindex:-1,dir:$0,class:$$props.
+class,"data-sonner-toaster":!0,"data-sonner-theme":get$4(actualTheme),"data-y-position":get$4(computed_const).y,"data-x-position":get$4(computed_const).x,style:$$props.style,onblur:handleBlur,onfocus:handleFocus,onmouseenter:handleMouseEnter,onmousemove:handleMouseMove,onmouseleave:handleMouseLeave,ondragend:handleDragEnd,onpointerdown:handlePointerDown,onpointerup:handlePointerUp,...restProps,[STYLE]:{"--front-toast-height":`${toastState.heights[0]?.height}px`,"--width":`${TOAST_WIDTH}px`,"--ga\
+p":`${gap()}px`,"--offset-top":get$4(offsetObject)["--offset-top"],"--offset-right":get$4(offsetObject)["--offset-right"],"--offset-bottom":get$4(offsetObject)["--offset-bottom"],"--offset-left":get$4(offsetObject)["--offset-left"],"--mobile-offset-top":get$4(offsetObject)["--mobile-offset-top"],"--mobile-offset-right":get$4(offsetObject)["--mobile-offset-right"],"--mobile-offset-bottom":get$4(offsetObject)["--mobile-offset-bottom"],"--mobile-offset-left":get$4(offsetObject)["--mobile-offset-lef\
+t"]}}),[getDocumentDirection],void 0,void 0,"svelte-nbs0zk"),each(ol,23,()=>toastState.toasts.filter(toast2=>!toast2.position&&get$4(index2)===0||toast2.position===position3),toast2=>toast2.id,($$anchor4,toast2,index3,$$array_1)=>{{const successIcon=$$anchor5=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);snippet(node_3,()=>$$props.successIcon??noop$3),append($$anchor6,fragment_3)},alternate=$$anchor6=>{
+var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_1=$$anchor7=>{SuccessIcon($$anchor7)};if_block(node_4,$$render=>{$$props.successIcon!==null&&$$render(consequent_1)},!0)}append($$anchor6,fragment_4)};if_block(node_2,$$render=>{$$props.successIcon?$$render(consequent):$$render(alternate,!1)})}append($$anchor5,fragment_2)},errorIcon=$$anchor5=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_2=$$anchor6=>{var fragment_7=comment$2(),node_6=first_child(
+fragment_7);snippet(node_6,()=>$$props.errorIcon??noop$3),append($$anchor6,fragment_7)},alternate_1=$$anchor6=>{var fragment_8=comment$2(),node_7=first_child(fragment_8);{var consequent_3=$$anchor7=>{ErrorIcon($$anchor7)};if_block(node_7,$$render=>{$$props.errorIcon!==null&&$$render(consequent_3)},!0)}append($$anchor6,fragment_8)};if_block(node_5,$$render=>{$$props.errorIcon?$$render(consequent_2):$$render(alternate_1,!1)})}append($$anchor5,fragment_6)},warningIcon=$$anchor5=>{var fragment_10=comment$2(),
+node_8=first_child(fragment_10);{var consequent_4=$$anchor6=>{var fragment_11=comment$2(),node_9=first_child(fragment_11);snippet(node_9,()=>$$props.warningIcon??noop$3),append($$anchor6,fragment_11)},alternate_2=$$anchor6=>{var fragment_12=comment$2(),node_10=first_child(fragment_12);{var consequent_5=$$anchor7=>{WarningIcon($$anchor7)};if_block(node_10,$$render=>{$$props.warningIcon!==null&&$$render(consequent_5)},!0)}append($$anchor6,fragment_12)};if_block(node_8,$$render=>{$$props.warningIcon?
+$$render(consequent_4):$$render(alternate_2,!1)})}append($$anchor5,fragment_10)},infoIcon=$$anchor5=>{var fragment_14=comment$2(),node_11=first_child(fragment_14);{var consequent_6=$$anchor6=>{var fragment_15=comment$2(),node_12=first_child(fragment_15);snippet(node_12,()=>$$props.infoIcon??noop$3),append($$anchor6,fragment_15)},alternate_3=$$anchor6=>{var fragment_16=comment$2(),node_13=first_child(fragment_16);{var consequent_7=$$anchor7=>{InfoIcon($$anchor7)};if_block(node_13,$$render=>{$$props.
+infoIcon!==null&&$$render(consequent_7)},!0)}append($$anchor6,fragment_16)};if_block(node_11,$$render=>{$$props.infoIcon?$$render(consequent_6):$$render(alternate_3,!1)})}append($$anchor5,fragment_14)},closeIcon=$$anchor5=>{var fragment_18=comment$2(),node_14=first_child(fragment_18);{var consequent_8=$$anchor6=>{var fragment_19=comment$2(),node_15=first_child(fragment_19);snippet(node_15,()=>$$props.closeIcon??noop$3),append($$anchor6,fragment_19)},alternate_4=$$anchor6=>{var fragment_20=comment$2(),
+node_16=first_child(fragment_20);{var consequent_9=$$anchor7=>{CloseIcon($$anchor7)};if_block(node_16,$$render=>{$$props.closeIcon!==null&&$$render(consequent_9)},!0)}append($$anchor6,fragment_20)};if_block(node_14,$$render=>{$$props.closeIcon?$$render(consequent_8):$$render(alternate_4,!1)})}append($$anchor5,fragment_18)};let $0=user_derived(()=>toastOptions()?.duration??duration2()),$1=user_derived(()=>toastOptions()?.class??""),$2=user_derived(()=>toastOptions()?.descriptionClass||""),$3=user_derived(
+()=>toastOptions()?.style??""),$4=user_derived(()=>toastOptions().classes||{}),$5=user_derived(()=>toastOptions().unstyled??!1),$6=user_derived(()=>toastOptions()?.cancelButtonStyle??""),$7=user_derived(()=>toastOptions()?.actionButtonStyle??""),$8=user_derived(()=>toastOptions()?.closeButtonAriaLabel??closeButtonAriaLabel());Toast($$anchor4,{get index(){return get$4(index3)},get toast(){return get$4(toast2)},get defaultRichColors(){return richColors()},get duration(){return get$4($0)},get class(){
+return get$4($1)},get descriptionClass(){return get$4($2)},get invert(){return invert()},get visibleToasts(){return visibleToasts()},get closeButton(){return closeButton()},get interacting(){return get$4(interacting)},get position(){return position3},get style(){return get$4($3)},get classes(){return get$4($4)},get unstyled(){return get$4($5)},get cancelButtonStyle(){return get$4($6)},get actionButtonStyle(){return get$4($7)},get closeButtonAriaLabel(){return get$4($8)},get expandByDefault(){return expand()},
+get expanded(){return get$4(expanded)},get loadingIcon(){return $$props.loadingIcon},successIcon,errorIcon,warningIcon,infoIcon,closeIcon,$$slots:{successIcon:!0,errorIcon:!0,warningIcon:!0,infoIcon:!0,closeIcon:!0}})}}),reset(ol),bind_this(ol,$$value=>set$1(listRef,$$value),()=>get$4(listRef)),template_effect(()=>ol.dir=ol.dir),append($$anchor3,ol)}),append($$anchor2,fragment)};if_block(node2,$$render=>{toastState.toasts.length>0&&$$render(consequent_10)})}reset(section),template_effect(()=>set_attribute(
+section,"aria-label",`${containerAriaLabel()??""} ${get$4(hotkeyLabel)??""}`)),append($$anchor,section),pop()}async function copyToClipboard(text2,successMessage="Copied to clipboard",errorMessage="Failed to copy to clipboard"){try{if(navigator.clipboard&&navigator.clipboard.writeText)return await navigator.clipboard.writeText(text2),toast.success(successMessage),!0;const textArea=document.createElement("textarea");textArea.value=text2,textArea.style.position="fixed",textArea.style.left="-999999\
+px",textArea.style.top="-999999px",document.body.appendChild(textArea),textArea.focus(),textArea.select();const successful=document.execCommand("copy");if(document.body.removeChild(textArea),successful)return toast.success(successMessage),!0;throw new Error("execCommand failed")}catch(error2){return console.error("Failed to copy to clipboard:",error2),toast.error(errorMessage),!1}}async function copyCodeToClipboard(rawCode,successMessage="Code copied to clipboard",errorMessage="Failed to copy co\
+de"){return copyToClipboard(rawCode,successMessage,errorMessage)}function formatMessageForClipboard(content2,extras,asPlainText=!1){const textAttachments=extras?.filter(extra=>extra.type===AttachmentType.TEXT||extra.type===AttachmentType.LEGACY_CONTEXT||extra.type===AttachmentType.MCP_PROMPT||extra.type===AttachmentType.MCP_RESOURCE)??[];if(textAttachments.length===0)return content2;if(asPlainText){const parts=[content2];for(const att of textAttachments)parts.push(att.content);return parts.join(
+`
+
+`)}const clipboardAttachments=textAttachments.map(att=>{if(att.type===AttachmentType.MCP_PROMPT){const mcpAtt=att;return{type:AttachmentType.MCP_PROMPT,name:mcpAtt.name,serverName:mcpAtt.serverName,promptName:mcpAtt.promptName,content:mcpAtt.content,arguments:mcpAtt.arguments}}return{type:AttachmentType.TEXT,name:att.name,content:att.content}});return`${JSON.stringify(content2)}
+${JSON.stringify(clipboardAttachments,null,2)}`}function parseClipboardContent(clipboardText){const defaultResult={message:clipboardText,textAttachments:[],mcpPromptAttachments:[]};if(!clipboardText.startsWith('"'))return defaultResult;try{let stringEndIndex=-1,escaped=!1;for(let i=1;i<clipboardText.length;i++){const char=clipboardText[i];if(escaped){escaped=!1;continue}if(char==="\\"){escaped=!0;continue}if(char==='"'){stringEndIndex=i;break}}if(stringEndIndex===-1)return defaultResult;const jsonStringPart=clipboardText.
+substring(0,stringEndIndex+1),remainingPart=clipboardText.substring(stringEndIndex+1).trim(),message=JSON.parse(jsonStringPart);if(!remainingPart||!remainingPart.startsWith("["))return{message,textAttachments:[],mcpPromptAttachments:[]};const attachments=JSON.parse(remainingPart),validTextAttachments=[],validMcpPromptAttachments=[];for(const att of attachments)isValidMcpPromptAttachment(att)?validMcpPromptAttachments.push({type:AttachmentType.MCP_PROMPT,name:att.name,serverName:att.serverName,promptName:att.
+promptName,content:att.content,arguments:att.arguments}):isValidTextAttachment(att)&&validTextAttachments.push({type:AttachmentType.TEXT,name:att.name,content:att.content});return{message,textAttachments:validTextAttachments,mcpPromptAttachments:validMcpPromptAttachments}}catch{return defaultResult}}function isValidMcpPromptAttachment(obj){if(typeof obj!="object"||obj===null)return!1;const record2=obj;return(record2.type===AttachmentType.MCP_PROMPT||record2.type==="MCP_PROMPT")&&typeof record2.name==
+"string"&&typeof record2.serverName=="string"&&typeof record2.promptName=="string"&&typeof record2.content=="string"}function isValidTextAttachment(obj){if(typeof obj!="object"||obj===null)return!1;const record2=obj;return(record2.type===AttachmentType.TEXT||record2.type==="TEXT")&&typeof record2.name=="string"&&typeof record2.content=="string"}function getFileTypeLabel(input){if(!input)return"FILE";if(input.includes("/")){const subtype=input.split("/").pop();if(subtype)return subtype.includes("\
+.")?subtype.split(".").pop()?.toUpperCase()||"FILE":subtype.toUpperCase()}if(input.includes(".")){const ext=input.split(".").pop();if(ext)return ext.toUpperCase()}return input.toUpperCase()}function getPreviewText(content2,max2=150){return content2.length>max2?content2.slice(0,max2)+"...":content2}function generateConversationTitle(content2,useFirstLine=!1){if(useFirstLine){const firstLine=content2.split(NEWLINE_SEPARATOR).find(line=>line.trim().length>0);return firstLine?firstLine.trim():content2.
+trim()}return content2.trim()}function getFileTypeCategory(mimeType){switch(mimeType){case MimeTypeImage.JPEG:case MimeTypeImage.PNG:case MimeTypeImage.GIF:case MimeTypeImage.WEBP:case MimeTypeImage.SVG:return FileTypeCategory.IMAGE;case MimeTypeAudio.MP3_MPEG:case MimeTypeAudio.MP3:case MimeTypeAudio.MP4:case MimeTypeAudio.WAV:case MimeTypeAudio.WEBM:case MimeTypeAudio.WEBM_OPUS:return FileTypeCategory.AUDIO;case MimeTypeApplication.PDF:return FileTypeCategory.PDF;case MimeTypeText.PLAIN:case MimeTypeText.
+MARKDOWN:case MimeTypeText.ASCIIDOC:case MimeTypeText.JAVASCRIPT:case MimeTypeText.JAVASCRIPT_APP:case MimeTypeText.TYPESCRIPT:case MimeTypeText.JSX:case MimeTypeText.TSX:case MimeTypeText.CSS:case MimeTypeText.HTML:case MimeTypeText.JSON:case MimeTypeText.XML_TEXT:case MimeTypeText.XML_APP:case MimeTypeText.YAML_TEXT:case MimeTypeText.YAML_APP:case MimeTypeText.CSV:case MimeTypeText.PYTHON:case MimeTypeText.JAVA:case MimeTypeText.CPP_SRC:case MimeTypeText.C_SRC:case MimeTypeText.C_HDR:case MimeTypeText.
+PHP:case MimeTypeText.RUBY:case MimeTypeText.GO:case MimeTypeText.RUST:case MimeTypeText.SHELL:case MimeTypeText.BAT:case MimeTypeText.SQL:case MimeTypeText.R:case MimeTypeText.SCALA:case MimeTypeText.KOTLIN:case MimeTypeText.SWIFT:case MimeTypeText.DART:case MimeTypeText.VUE:case MimeTypeText.SVELTE:case MimeTypeText.LATEX:case MimeTypeText.BIBTEX:case MimeTypeText.CUDA:case MimeTypeText.CPP_HDR:case MimeTypeText.CSHARP:case MimeTypeText.HASKELL:case MimeTypeText.PROPERTIES:case MimeTypeText.TEX:case MimeTypeText.
+TEX_APP:return FileTypeCategory.TEXT;default:return null}}function getFileTypeCategoryByExtension(filename){switch(filename.toLowerCase().substring(filename.lastIndexOf("."))){case FileExtensionImage.JPG:case FileExtensionImage.JPEG:case FileExtensionImage.PNG:case FileExtensionImage.GIF:case FileExtensionImage.WEBP:case FileExtensionImage.SVG:return FileTypeCategory.IMAGE;case FileExtensionAudio.MP3:case FileExtensionAudio.WAV:return FileTypeCategory.AUDIO;case FileExtensionPdf.PDF:return FileTypeCategory.
+PDF;case FileExtensionText.TXT:case FileExtensionText.MD:case FileExtensionText.ADOC:case FileExtensionText.JS:case FileExtensionText.TS:case FileExtensionText.JSX:case FileExtensionText.TSX:case FileExtensionText.CSS:case FileExtensionText.HTML:case FileExtensionText.HTM:case FileExtensionText.JSON:case FileExtensionText.XML:case FileExtensionText.YAML:case FileExtensionText.YML:case FileExtensionText.CSV:case FileExtensionText.LOG:case FileExtensionText.PY:case FileExtensionText.JAVA:case FileExtensionText.
+CPP:case FileExtensionText.C:case FileExtensionText.H:case FileExtensionText.PHP:case FileExtensionText.RB:case FileExtensionText.GO:case FileExtensionText.RS:case FileExtensionText.SH:case FileExtensionText.BAT:case FileExtensionText.SQL:case FileExtensionText.R:case FileExtensionText.SCALA:case FileExtensionText.KT:case FileExtensionText.SWIFT:case FileExtensionText.DART:case FileExtensionText.VUE:case FileExtensionText.SVELTE:case FileExtensionText.TEX:case FileExtensionText.BIB:case FileExtensionText.
+COMP:case FileExtensionText.CU:case FileExtensionText.CUH:case FileExtensionText.HPP:case FileExtensionText.HS:case FileExtensionText.PROPERTIES:return FileTypeCategory.TEXT;default:return null}}function isFileTypeSupported(filename,mimeType){if(mimeType){const category=getFileTypeCategory(mimeType);if(category===FileTypeCategory.IMAGE||category===FileTypeCategory.AUDIO||category===FileTypeCategory.PDF)return!0}const extCategory=getFileTypeCategoryByExtension(filename);return extCategory===FileTypeCategory.
+IMAGE||extCategory===FileTypeCategory.AUDIO||extCategory===FileTypeCategory.PDF,!0}function formatFileSize(bytes){if(typeof bytes!="number")return"Unknown";if(bytes===0)return"0 Bytes";const k=1024,sizes=["Bytes","KB","MB","GB"],i=Math.floor(Math.log(bytes)/Math.log(k));return parseFloat((bytes/Math.pow(k,i)).toFixed(2))+" "+sizes[i]}function formatParameters(params){return typeof params!="number"?"Unknown":params>=1e9?`${(params/1e9).toFixed(2)}B`:params>=1e6?`${(params/1e6).toFixed(2)}M`:params>=
+1e3?`${(params/1e3).toFixed(2)}K`:params.toString()}function formatNumber(num){return typeof num!="number"?"Unknown":num.toLocaleString()}function formatJsonPretty(jsonString){try{const parsed=JSON.parse(jsonString);return JSON.stringify(parsed,null,2)}catch{return jsonString}}function formatTime(date2){return date2.toLocaleTimeString("en-US",{hour12:!1,hour:"2-digit",minute:"2-digit",second:"2-digit"})}function formatPerformanceTime(ms){if(ms<0)return"0s";const totalSeconds=ms/MS_PER_SECOND;if(totalSeconds<
+SHORT_DURATION_THRESHOLD)return`${totalSeconds.toFixed(1)}s`;if(totalSeconds<MEDIUM_DURATION_THRESHOLD)return`${totalSeconds.toFixed(1)}s`;const hours=Math.floor(totalSeconds/SECONDS_PER_HOUR),minutes=Math.floor(totalSeconds%SECONDS_PER_HOUR/SECONDS_PER_MINUTE),seconds=Math.floor(totalSeconds%SECONDS_PER_MINUTE),parts=[];return hours>0&&parts.push(`${hours}h`),minutes>0&&parts.push(`${minutes}min`),(seconds>0||parts.length===0)&&parts.push(`${seconds}s`),parts.join(" ")}function formatAttachmentText(label,name,content2,extra){
+const header=extra?`${name} (${extra})`:name;return`
+
+--- ${label}: ${header} ---
+${content2}`}function isIMEComposing(event2){return event2.isComposing||event2.keyCode===229}function maskInlineLaTeX(content2,latexExpressions){return content2.includes("$")?content2.split(`
+`).map(line=>{if(line.indexOf("$")==-1)return line;let processedLine="",currentPosition=0;for(;currentPosition<line.length;){const openDollarIndex=line.indexOf("$",currentPosition);if(openDollarIndex==-1){processedLine+=line.slice(currentPosition);break}const closeDollarIndex=line.indexOf("$",openDollarIndex+1);if(closeDollarIndex==-1){processedLine+=line.slice(currentPosition);break}const charBeforeOpen=openDollarIndex>0?line[openDollarIndex-1]:"",charAfterOpen=line[openDollarIndex+1],charBeforeClose=openDollarIndex+
+1<closeDollarIndex?line[closeDollarIndex-1]:"",charAfterClose=closeDollarIndex+1<line.length?line[closeDollarIndex+1]:"";let shouldSkipAsNonLatex=!1;if(closeDollarIndex==currentPosition+1&&(shouldSkipAsNonLatex=!0),/[A-Za-z0-9_$-]/.test(charBeforeOpen)&&(shouldSkipAsNonLatex=!0),/[0-9]/.test(charAfterOpen)&&(/[A-Za-z0-9_$-]/.test(charAfterClose)||charBeforeClose==" ")&&(shouldSkipAsNonLatex=!0),shouldSkipAsNonLatex){processedLine+=line.slice(currentPosition,openDollarIndex+1),currentPosition=openDollarIndex+
+1;continue}processedLine+=line.slice(currentPosition,openDollarIndex);const latexContent=line.slice(openDollarIndex,closeDollarIndex+1);latexExpressions.push(latexContent),processedLine+=`<<LATEX_${latexExpressions.length-1}>>`,currentPosition=closeDollarIndex+1}return processedLine}).join(`
+`):content2}function escapeBrackets(text2){return text2.replace(LATEX_MATH_AND_CODE_PATTERN,(match,codeBlock,squareBracket,roundBracket)=>codeBlock??(squareBracket!=null?`$$${squareBracket}$$`:roundBracket!=null?`$${roundBracket}$`:match))}function preprocessLaTeX(content2){const blockquoteMarkers=new Map;content2=content2.split(`
+`).map((line,index2)=>{const match=line.match(/^(>\s*)/);return match?(blockquoteMarkers.set(index2,match[1]),line.slice(match[1].length)):line}).join(`
+`);const codeBlocks=[];content2=content2.replace(CODE_BLOCK_REGEXP,match=>(codeBlocks.push(match),`<<CODE_BLOCK_${codeBlocks.length-1}>>`));const latexExpressions=[];return content2=content2.replace(/([\S].*?)\\\[([\s\S]*?)\\\](.*)/g,(match,group1,group2,group3)=>{if(group1.endsWith("\\"))return match;const hasSuffix=/\S/.test(group3);let optBreak;return hasSuffix?(latexExpressions.push(`\\(${group2.trim()}\\)`),optBreak=""):(latexExpressions.push(`\\[${group2}\\]`),optBreak=`
+`),`${group1}${optBreak}<<LATEX_${latexExpressions.length-1}>>${optBreak}${group3}`}),content2=content2.replace(new RegExp("(\\$\\$[\\s\\S]*?\\$\\$|(?<!\\\\)\\\\\\[[\\s\\S]*?\\\\\\]|(?<!\\\\)\\\\\\(.*?\\\\\\))","g"),match=>(latexExpressions.push(match),`<<LATEX_${latexExpressions.length-1}>>`)),content2=maskInlineLaTeX(content2,latexExpressions),content2=content2.replace(/\$(?=\d)/g,"\\$"),content2=content2.replace(/<<LATEX_(\d+)>>/g,(_,index2)=>{let expr=latexExpressions[parseInt(index2)];const match=expr.
+match(LATEX_LINEBREAK_REGEXP);if(match){const formula=match[1],prefix=formula.startsWith(`
+`)?"":`
+`,suffix=formula.endsWith(`
+`)?"":`
+`;expr="$$"+prefix+formula+suffix+"$$"}return expr}),content2=escapeBrackets(content2),content2=content2.replace(new RegExp("(?<!\\\\)\\\\\\((.+?)\\\\\\)","g"),"$$$1$").replace(new RegExp("(?<!\\\\)\\\\\\[([\\s\\S]*?)\\\\\\]","g"),(_,content22)=>`$$${content22}$$`),content2=content2.replace(/<<CODE_BLOCK_(\d+)>>/g,(_,index2)=>codeBlocks[parseInt(index2)]),blockquoteMarkers.size>0&&(content2=content2.split(`
+`).map((line,index2)=>{const marker=blockquoteMarkers.get(index2);return marker?marker+line:line}).join(`
+`)),content2}function filterFilesByModalities(files,capabilities){const supportedFiles=[],unsupportedFiles=[],modalityReasons={},{hasVision,hasAudio}=capabilities;for(const file of files){const category=getFileTypeCategory(file.type);let isSupported=!0,reason="";switch(category){case FileTypeCategory.IMAGE:hasVision||(isSupported=!1,reason="Images require a vision-capable model");break;case FileTypeCategory.AUDIO:hasAudio||(isSupported=!1,reason="Audio files require an audio-capable model");break;case FileTypeCategory.
+TEXT:case FileTypeCategory.PDF:break}isSupported?supportedFiles.push(file):(unsupportedFiles.push(file),modalityReasons[file.name]=reason)}return{supportedFiles,unsupportedFiles,modalityReasons}}function normalizeModelName(modelName){const trimmed=modelName.trim();if(!trimmed)return"";const segments=trimmed.split(/[\\/]/);if(segments.length===2){const[org,model]=segments,trimmedOrg=org?.trim(),trimmedModel=model?.trim();if(trimmedOrg&&trimmedModel)return`${trimmedOrg}/${trimmedModel}`}const normalized=segments.
+pop()?.trim();return normalized&&normalized.length>0?normalized:trimmed}function normalizeFloatingPoint(value){return typeof value=="number"?Math.round(value*PRECISION_MULTIPLIER)/PRECISION_MULTIPLIER:value}function getLanguageFromFilename(filename){switch(filename.toLowerCase().substring(filename.lastIndexOf("."))){case".js":case".mjs":case".cjs":return"javascript";case".ts":case".mts":case".cts":return"typescript";case".jsx":return"javascript";case".tsx":return"typescript";case".html":case".ht\
+m":return"html";case".css":return"css";case".scss":return"scss";case".less":return"less";case".vue":return"html";case".svelte":return"html";case".json":return"json";case".xml":return"xml";case".yaml":case".yml":return"yaml";case".toml":return"ini";case".csv":return"plaintext";case".py":return"python";case".java":return"java";case".kt":case".kts":return"kotlin";case".scala":return"scala";case".cpp":case".cc":case".cxx":case".c++":return"cpp";case".c":return"c";case".h":case".hpp":return"cpp";case"\
+.cs":return"csharp";case".go":return"go";case".rs":return"rust";case".rb":return"ruby";case".php":return"php";case".swift":return"swift";case".dart":return"dart";case".r":return"r";case".lua":return"lua";case".pl":case".pm":return"perl";case".sh":case".bash":case".zsh":return"bash";case".bat":case".cmd":return"dos";case".ps1":return"powershell";case".sql":return"sql";case".md":case".markdown":return"markdown";case".tex":case".latex":return"latex";case".adoc":case".asciidoc":return"asciidoc";case"\
+.ini":case".cfg":case".conf":return"ini";case".dockerfile":return"dockerfile";case".nginx":return"nginx";case".graphql":case".gql":return"graphql";case".proto":return"protobuf";case".diff":case".patch":return"diff";case".log":return"plaintext";case".txt":return"plaintext";default:return"plaintext"}}async function readFileAsText(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=event2=>{event2.target?.result!==null&&event2.target?.result!==void 0?resolve2(event2.
+target.result):reject(new Error("Failed to read file"))},reader.onerror=()=>reject(new Error("File reading error")),reader.readAsText(file)})}function isLikelyTextFile(content2,options={}){if(!content2)return!0;const config2={...DEFAULT_BINARY_DETECTION_OPTIONS,...options},sample=content2.substring(0,config2.prefixLength);let nullCount=0,suspiciousControlCount=0;for(let i=0;i<sample.length;i++){const charCode=sample.charCodeAt(i);if(charCode===0){nullCount++;continue}charCode<32&&charCode!==9&&charCode!==
+10&&charCode!==13&&(charCode<8||charCode>13&&charCode<27)&&suspiciousControlCount++,charCode===65533&&suspiciousControlCount++}return!(nullCount>config2.maxAbsoluteNullBytes||suspiciousControlCount/sample.length>config2.suspiciousCharThresholdRatio)}function debounce(fn,delay){let timeoutId=null;return(...args)=>{timeoutId&&clearTimeout(timeoutId),timeoutId=setTimeout(()=>{fn(...args),timeoutId=null},delay)}}function sanitizeKeyValuePairKey(raw2){return raw2.replace(KEY_VALUE_PAIR_UNSAFE_KEY_RE,
+"").slice(0,KEY_VALUE_PAIR_KEY_MAX_LENGTH)}function sanitizeKeyValuePairValue(raw2){return raw2.replace(KEY_VALUE_PAIR_UNSAFE_VALUE_RE,"").slice(0,KEY_VALUE_PAIR_VALUE_MAX_LENGTH)}function getImageErrorFallbackHtml(src){return`<div class="image-error-content">
+		<span>Image cannot be displayed</span>
+		<a href="${src}" target="_blank" rel="noopener noreferrer">(open link)</a>
+	</div>`}function detectMcpTransportFromUrl(url2){const normalized=url2.trim().toLowerCase();return normalized.startsWith(UrlProtocol.WEBSOCKET)||normalized.startsWith(UrlProtocol.WEBSOCKET_SECURE)?MCPTransportType.WEBSOCKET:MCPTransportType.STREAMABLE_HTTP}function parseMcpServerSettings(rawServers){if(!rawServers)return[];let parsed;if(typeof rawServers=="string"){const trimmed=rawServers.trim();if(!trimmed)return[];try{parsed=JSON.parse(trimmed)}catch(error2){return console.warn("[MCP] Failed\
+ to parse mcpServers JSON, ignoring value:",error2),[]}}else parsed=rawServers;return Array.isArray(parsed)?parsed.map((entry,index2)=>{const url2=typeof entry?.url=="string"?entry.url.trim():"",headers=typeof entry?.headers=="string"?entry.headers.trim():void 0;return{id:typeof entry?.id=="string"&&entry.id?.trim()?entry.id.trim():`${MCP_SERVER_ID_PREFIX}-${index2+1}`,enabled:!!entry?.enabled,url:url2,name:entry?.name,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,headers:headers||
+void 0,useProxy:!!entry?.useProxy}}):[]}function getMcpLogLevelIcon(level){switch(level){case MCPLogLevel.ERROR:return Circle_x;case MCPLogLevel.WARN:return Triangle_alert;default:return Info$1}}function getMcpLogLevelClass(level){switch(level){case MCPLogLevel.ERROR:return"text-destructive";case MCPLogLevel.WARN:return"text-yellow-600 dark:text-yellow-500";default:return"text-muted-foreground"}}function isImageMimeType(mimeType){return mimeType?.startsWith(MimeTypePrefix.IMAGE)??!1}function parseResourcePath(uri2){
+try{return uri2.replace(PROTOCOL_PREFIX_REGEX,"").split(PATH_SEPARATOR).filter(p2=>p2.length>0)}catch{return[uri2]}}function getDisplayName(pathPart){return pathPart.replace(FILE_EXTENSION_REGEX,"").split(DISPLAY_NAME_SEPARATOR_REGEX).map(word=>word.charAt(0).toUpperCase()+word.slice(1)).join(" ")}function getResourceDisplayName(resource){try{const parts=parseResourcePath(resource.uri);return parts[parts.length-1]||resource.name||resource.uri}catch{return resource.name||resource.uri}}function isCodeResource(mimeType,uri2){
+const mime=mimeType?.toLowerCase()||"",u=uri2?.toLowerCase()||"";return mime.includes(MimeTypeIncludes.JSON)||mime.includes(MimeTypeIncludes.JAVASCRIPT)||mime.includes(MimeTypeIncludes.TYPESCRIPT)||CODE_FILE_EXTENSION_REGEX.test(u)}function isImageResource(mimeType,uri2){const mime=mimeType?.toLowerCase()||"",u=uri2?.toLowerCase()||"";return mime.startsWith(MimeTypePrefix.IMAGE)||IMAGE_FILE_EXTENSION_REGEX.test(u)}function getResourceIcon(mimeType,uri2){const mime=mimeType?.toLowerCase()||"",u=uri2?.
+toLowerCase()||"";return mime.startsWith(MimeTypePrefix.IMAGE)||IMAGE_FILE_EXTENSION_REGEX.test(u)?Image$1:mime.includes(MimeTypeIncludes.JSON)||mime.includes(MimeTypeIncludes.JAVASCRIPT)||mime.includes(MimeTypeIncludes.TYPESCRIPT)||CODE_FILE_EXTENSION_REGEX.test(u)?Code:mime.includes(MimeTypePrefix.TEXT)||TEXT_FILE_EXTENSION_REGEX.test(u)?File_text:u.includes(UriPattern.DATABASE_KEYWORD)||u.includes(UriPattern.DATABASE_SCHEME)?Database:File$1}function getResourceTextContent(content2){return content2?
+content2.filter(c2=>"text"in c2).map(c2=>c2.text).join(RESOURCE_TEXT_CONTENT_SEPARATOR):""}function getResourceBlobContent(content2){return content2?content2.filter(c2=>"blob"in c2):[]}function downloadResourceContent(text2,mimeType=MimeTypeText.PLAIN,filename=DEFAULT_RESOURCE_FILENAME){const blob=new Blob([text2],{type:mimeType}),url2=URL.createObjectURL(blob),a=document.createElement("a");a.href=url2,a.download=filename,document.body.appendChild(a),a.click(),document.body.removeChild(a),URL.revokeObjectURL(
+url2)}function normalizeResourceUri(uri2){const schemeEnd=uri2.indexOf(URI_SCHEME_SEPARATOR);if(schemeEnd===-1)return uri2;const scheme2=uri2.substring(0,schemeEnd),rest=uri2.substring(schemeEnd+URI_SCHEME_SEPARATOR.length).replace(LEADING_SLASHES_REGEX,"");return`${scheme2}${URI_SCHEME_SEPARATOR}${rest}`}function extractTemplateVariables(template){const variables=[],seen2=new Set;let match;for(TEMPLATE_EXPRESSION_REGEX.lastIndex=0;(match=TEMPLATE_EXPRESSION_REGEX.exec(template))!==null;){const operator2=match[1]||
+"",varList=match[2];for(const varSpec of varList.split(",")){const name=varSpec.replace(VARIABLE_EXPLODE_MODIFIER_REGEX,"").replace(VARIABLE_PREFIX_MODIFIER_REGEX,"").trim();name&&!seen2.has(name)&&(seen2.add(name),variables.push({name,operator:operator2}))}}return variables}function expandTemplate(template,values){return TEMPLATE_EXPRESSION_REGEX.lastIndex=0,template.replace(TEMPLATE_EXPRESSION_REGEX,(_match,operator2,varList)=>{const varNames=varList.split(",").map(v=>v.replace(VARIABLE_EXPLODE_MODIFIER_REGEX,
+"").replace(VARIABLE_PREFIX_MODIFIER_REGEX,"").trim()),expandedParts=varNames.map(name=>values[name]??"").filter(v=>v!=="");if(expandedParts.length===0)return"";switch(operator2){case URI_TEMPLATE_OPERATORS.RESERVED:return expandedParts.join(URI_TEMPLATE_SEPARATORS.COMMA);case URI_TEMPLATE_OPERATORS.FRAGMENT:return URI_TEMPLATE_OPERATORS.FRAGMENT+expandedParts.join(URI_TEMPLATE_SEPARATORS.COMMA);case URI_TEMPLATE_OPERATORS.PATH_SEGMENT:return URI_TEMPLATE_SEPARATORS.SLASH+expandedParts.join(URI_TEMPLATE_SEPARATORS.
+SLASH);case URI_TEMPLATE_OPERATORS.LABEL:return URI_TEMPLATE_SEPARATORS.PERIOD+expandedParts.join(URI_TEMPLATE_SEPARATORS.PERIOD);case URI_TEMPLATE_OPERATORS.PATH_PARAM:return varNames.filter((_,i)=>expandedParts[i]).map((name,i)=>`${URI_TEMPLATE_SEPARATORS.SEMICOLON}${name}=${expandedParts[i]}`).join("");case URI_TEMPLATE_OPERATORS.FORM_QUERY:return URI_TEMPLATE_SEPARATORS.QUERY_PREFIX+varNames.filter((_,i)=>expandedParts[i]).map((name,i)=>`${encodeURIComponent(name)}=${encodeURIComponent(expandedParts[i])}`).
+join(URI_TEMPLATE_SEPARATORS.COMMA);case URI_TEMPLATE_OPERATORS.FORM_CONTINUATION:return URI_TEMPLATE_SEPARATORS.QUERY_CONTINUATION+varNames.filter((_,i)=>expandedParts[i]).map((name,i)=>`${encodeURIComponent(name)}=${encodeURIComponent(expandedParts[i])}`).join(URI_TEMPLATE_SEPARATORS.COMMA);default:return expandedParts.map(v=>encodeURIComponent(v)).join(URI_TEMPLATE_SEPARATORS.COMMA)}})}function isTemplateComplete(template,values){return extractTemplateVariables(template).every(v=>(values[v.name]??
+"").trim()!=="")}function createBase64DataUrl(mimeType,base64Data){return`data:${mimeType};base64,${base64Data}`}function parseHeadersToArray(headersJson){if(!headersJson?.trim())return[];try{const parsed=JSON.parse(headersJson);if(typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed))return Object.entries(parsed).map(([key2,value])=>({key:key2,value:String(value)}))}catch{return[]}return[]}function serializeHeaders(pairs){const validPairs=pairs.filter(p2=>p2.key.trim());if(validPairs.length===
+0)return"";const obj={};for(const pair of validPairs)obj[pair.key.trim()]=pair.value;return JSON.stringify(obj)}function getFaviconUrl(urlString,useProxy=!0){try{const url2=new URL(urlString),hostnameParts=url2.hostname.split(DOMAIN_SEPARATOR),rootDomain=hostnameParts.length>=ROOT_DOMAIN_MIN_PARTS?hostnameParts.slice(-ROOT_DOMAIN_MIN_PARTS).join(DOMAIN_SEPARATOR):url2.hostname,googleFaviconUrl=`${GOOGLE_FAVICON_BASE_URL}?domain=${rootDomain}&sz=${DEFAULT_FAVICON_SIZE}`;return useProxy?getProxiedUrlString(
+googleFaviconUrl):googleFaviconUrl}catch{return null}}function deriveSingleTurnSections(message,toolMessages=[],streamingToolCalls=[],isStreaming=!1){const sections=[];if(message.reasoningContent){const toolCalls2=parseToolCalls(message.toolCalls),hasContentAfterReasoning=!!message.content?.trim()||toolCalls2.length>0||streamingToolCalls.length>0,isPending=isStreaming&&!hasContentAfterReasoning;sections.push({type:isPending?AgenticSectionType.REASONING_PENDING:AgenticSectionType.REASONING,content:message.
+reasoningContent})}message.content?.trim()&&sections.push({type:AgenticSectionType.TEXT,content:message.content});const toolCalls=parseToolCalls(message.toolCalls);for(const tc of toolCalls){const resultMsg=toolMessages.find(m=>m.toolCallId===tc.id);sections.push({type:resultMsg?AgenticSectionType.TOOL_CALL:AgenticSectionType.TOOL_CALL_PENDING,content:resultMsg?.content||"",toolName:tc.function?.name,toolArgs:tc.function?.arguments,toolResult:resultMsg?.content,toolResultExtras:resultMsg?.extra})}
+for(const tc of streamingToolCalls)tc.id&&toolCalls.find(t=>t.id===tc.id)||sections.push({type:AgenticSectionType.TOOL_CALL_STREAMING,content:"",toolName:tc.function?.name,toolArgs:tc.function?.arguments});return sections}function deriveAgenticSections(message,toolMessages=[],streamingToolCalls=[],isStreaming=!1){if(!toolMessages.some(m=>m.role===MessageRole.ASSISTANT))return deriveSingleTurnSections(message,toolMessages,streamingToolCalls,isStreaming);const sections=[],firstTurnToolMsgs=collectToolMessages(
+toolMessages,0);sections.push(...deriveSingleTurnSections(message,firstTurnToolMsgs));let i=firstTurnToolMsgs.length;for(;i<toolMessages.length;){const msg=toolMessages[i];if(msg.role===MessageRole.ASSISTANT){const turnToolMsgs=collectToolMessages(toolMessages,i+1),isLastTurn=i+1+turnToolMsgs.length>=toolMessages.length;sections.push(...deriveSingleTurnSections(msg,turnToolMsgs,isLastTurn?streamingToolCalls:[],isLastTurn&&isStreaming)),i+=1+turnToolMsgs.length}else i++}return sections}function collectToolMessages(messages,startIndex){
+const result=[];for(let i=startIndex;i<messages.length&&messages[i].role===MessageRole.TOOL;i++)result.push(messages[i]);return result}function parseToolResultWithImages(toolResult,extras){return toolResult.split(NEWLINE_SEPARATOR).map(line=>{const match=line.match(ATTACHMENT_SAVED_REGEX);if(!match||!extras)return{text:line};const attachmentName=match[1],image2=extras.find(e=>e.type===AttachmentType.IMAGE&&e.name===attachmentName);return{text:line,image:image2}})}function parseToolCalls(toolCallsJson){
+if(!toolCallsJson)return[];try{const parsed=JSON.parse(toolCallsJson);return Array.isArray(parsed)?parsed:[]}catch{return[]}}function hasAgenticContent(message,toolMessages=[]){return message.toolCalls&&parseToolCalls(message.toolCalls).length>0?!0:toolMessages.length>0}var dexie_min$1={exports:{}},dexie_min=dexie_min$1.exports,hasRequiredDexie_min;function requireDexie_min(){return hasRequiredDexie_min||(hasRequiredDexie_min=1,function(module,exports){(function(e,t){module.exports=t()})(dexie_min,
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+first=function(e2){return this.limit(1).toArray(function(e3){return e3[0]}).then(e2)},Pt.prototype.last=function(e2){return this.reverse().first(e2)},Pt.prototype.filter=function(t2){var e2;return vt(this._ctx,function(e3){return t2(e3.value)}),(e2=this._ctx).isMatch=it(e2.isMatch,t2),this},Pt.prototype.and=function(e2){return this.filter(e2)},Pt.prototype.or=function(e2){return new this.db.WhereClause(this._ctx.table,e2,this)},Pt.prototype.reverse=function(){return this._ctx.dir=this._ctx.dir===
+"prev"?"next":"prev",this._ondirectionchange&&this._ondirectionchange(this._ctx.dir),this},Pt.prototype.desc=function(){return this.reverse()},Pt.prototype.eachKey=function(n2){var e2=this._ctx;return e2.keysOnly=!e2.isMatch,this.each(function(e3,t2){n2(t2.key,t2)})},Pt.prototype.eachUniqueKey=function(e2){return this._ctx.unique="unique",this.eachKey(e2)},Pt.prototype.eachPrimaryKey=function(n2){var e2=this._ctx;return e2.keysOnly=!e2.isMatch,this.each(function(e3,t2){n2(t2.primaryKey,t2)})},Pt.
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+return this.each(function(e3,t2){r3.push(t2.primaryKey)}).then(function(){return r3}).then(e2)},Pt.prototype.uniqueKeys=function(e2){return this._ctx.unique="unique",this.keys(e2)},Pt.prototype.firstKey=function(e2){return this.limit(1).keys(function(e3){return e3[0]}).then(e2)},Pt.prototype.lastKey=function(e2){return this.reverse().firstKey(e2)},Pt.prototype.distinct=function(){var e2=this._ctx,e2=e2.index&&e2.table.schema.idxByName[e2.index];if(!e2||!e2.multi)return this;var n2={};return vt(this.
+_ctx,function(e3){var t2=e3.primaryKey.toString(),e3=m(n2,t2);return n2[t2]=!0,!e3}),this},Pt.prototype.modify=function(w2){var n2=this,r3=this._ctx;return this._write(function(d3){var a2,u2,p3;p3=typeof w2=="function"?w2:(a2=x(w2),u2=a2.length,function(e3){for(var t3=!1,n3=0;n3<u2;++n3){var r4=a2[n3],i2=w2[r4],o2=O(e3,r4);i2 instanceof xt?(P(e3,r4,i2.execute(o2)),t3=!0):o2!==i2&&(P(e3,r4,i2),t3=!0)}return t3});var y2=r3.table.core,e2=y2.schema.primaryKey,v2=e2.outbound,m2=e2.extractKey,b2=200,e2=n2.
+db._options.modifyChunkSize;e2&&(b2=typeof e2=="object"?e2[y2.name]||e2["*"]||200:e2);function g2(e3,t3){var n3=t3.failures,t3=t3.numFailures;c3+=e3-t3;for(var r4=0,i2=x(n3);r4<i2.length;r4++){var o2=i2[r4];s3.push(n3[o2])}}var s3=[],c3=0,t2=[];return n2.clone().primaryKeys().then(function(l2){function f2(s4){var c4=Math.min(b2,l2.length-s4);return y2.getMany({trans:d3,keys:l2.slice(s4,s4+c4),cache:"immutable"}).then(function(e3){for(var n3=[],t3=[],r4=v2?[]:null,i2=[],o2=0;o2<c4;++o2){var a3=e3[o2],
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+s4);if(u3===0)return n3({result:[]});h3?((c4=a3?l2.getAll(s4,c4):l2.getAllKeys(s4,c4)).onsuccess=function(e5){return n3({result:e5.target.result})},c4.onerror=Bt(e4)):(r4=0,i3=!a3&&"openKeyCursor"in l2?l2.openKeyCursor(s4):l2.openCursor(s4),o3=[],i3.onsuccess=function(e5){var t4=i3.result;return t4?(o3.push(a3?t4.value:t4.primaryKey),++r4===u3?n3({result:o3}):void t4.continue()):n3({result:o3})},i3.onerror=Bt(e4))})}),openCursor:function(e4){var c4=e4.trans,o3=e4.values,a3=e4.query,u3=e4.reverse,
+l2=e4.unique;return new Promise(function(t3,n3){t3=qe(t3);var e5=a3.index,r4=a3.range,i3=c4.objectStore(w2),i3=e5.isPrimaryKey?i3:i3.index(e5.name),e5=u3?l2?"prevunique":"prev":l2?"nextunique":"next",s4=!o3&&"openKeyCursor"in i3?i3.openKeyCursor(_4(r4),e5):i3.openCursor(_4(r4),e5);s4.onerror=Bt(n3),s4.onsuccess=qe(function(e6){var r5,i4,o4,a4,u4=s4.result;u4?(u4.___id=++Gt,u4.done=!1,r5=u4.continue.bind(u4),i4=(i4=u4.continuePrimaryKey)&&i4.bind(u4),o4=u4.advance.bind(u4),a4=function(){throw new Error(
+"Cursor not stopped")},u4.trans=c4,u4.stop=u4.continue=u4.continuePrimaryKey=u4.advance=function(){throw new Error("Cursor not started")},u4.fail=qe(n3),u4.next=function(){var e7=this,t4=1;return this.start(function(){return t4--?e7.continue():e7.stop()}).then(function(){return e7})},u4.start=function(e7){function t4(){if(s4.result)try{e7()}catch(e8){u4.fail(e8)}else u4.done=!0,u4.start=function(){throw new Error("Cursor behind last entry")},u4.stop()}var n4=new Promise(function(t5,e8){t5=qe(t5),
+s4.onerror=Bt(e8),u4.fail=e8,u4.stop=function(e9){u4.stop=u4.continue=u4.continuePrimaryKey=u4.advance=a4,t5(e9)}});return s4.onsuccess=qe(function(e8){s4.onsuccess=t4,t4()}),u4.continue=r5,u4.continuePrimaryKey=i4,u4.advance=o4,t4(),n4},t3(u4)):t3(null)},n3)})},count:function(e4){var t3=e4.query,i3=e4.trans,o3=t3.index,a3=t3.range;return new Promise(function(t4,e5){var n3=i3.objectStore(w2),r4=o3.isPrimaryKey?n3:n3.index(o3.name),n3=_4(a3),r4=n3?r4.count(n3):r4.count();r4.onsuccess=qe(function(e6){
+return t4(e6.target.result)}),r4.onerror=Bt(e5)})}}}var r3,o2,a2,u2=(o2=t2,a2=Qt((r3=e2).objectStoreNames),{schema:{name:r3.name,tables:a2.map(function(e3){return o2.objectStore(e3)}).map(function(t3){var e3=t3.keyPath,n3=t3.autoIncrement,r4=k(e3),i3={},n3={name:t3.name,primaryKey:{name:null,isPrimaryKey:!0,outbound:e3==null,compound:r4,keyPath:e3,autoIncrement:n3,unique:!0,extractKey:$t(e3)},indexes:Qt(t3.indexNames).map(function(e4){return t3.index(e4)}).map(function(e4){var t4=e4.name,n4=e4.unique,
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+s3=u2.hasGetAll,u2=t2.tables.map(n2),c3={};return u2.forEach(function(e3){return c3[e3.name]=e3}),{stack:"dbcore",transaction:e2.transaction.bind(e2),table:function(e3){if(!c3[e3])throw new Error("Table '".concat(e3,"' not found"));return c3[e3]},MIN_KEY:-1/0,MAX_KEY:Yt(i2),schema:t2}}function Jt(e2,t2,n2,r3){var i2=n2.IDBKeyRange;return n2.indexedDB,{dbcore:(r3=Ht(t2,i2,r3),e2.dbcore.reduce(function(e3,t3){return t3=t3.create,_(_({},e3),t3(e3))},r3))}}function Zt(n2,e2){var t2=e2.db,e2=Jt(n2._middlewares,
+t2,n2._deps,e2);n2.core=e2.dbcore,n2.tables.forEach(function(e3){var t3=e3.name;n2.core.schema.tables.some(function(e4){return e4.name===t3})&&(e3.core=n2.core.table(t3),n2[t3]instanceof n2.Table&&(n2[t3].core=e3.core))})}function en(i2,e2,t2,o2){t2.forEach(function(n2){var r3=o2[n2];e2.forEach(function(e3){var t3=function e4(t4,n3){return h2(t4,n3)||(t4=c2(t4))&&e4(t4,n3)}(e3,n2);(!t3||"value"in t3&&t3.value===void 0)&&(e3===i2.Transaction.prototype||e3 instanceof i2.Transaction?l(e3,n2,{get:function(){
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+version,"version"))})}),function e5(){return t3.length?_e.resolve(t3.shift()(l2.idbtrans)).then(e5):_e.resolve()}().then(function(){sn(h3,f2)})):_e.resolve();var s4,c3,l2,f2,t3,h3}).catch(u2)):(x(o2).forEach(function(e4){un(i2,e4,o2[e4].primKey,o2[e4].indexes)}),Zt(n2,i2),void _e.follow(function(){return n2.on.populate.fire(a2)}).catch(u2));var e3,t2})}function on2(e2,r3){sn(e2._dbSchema,r3),r3.db.version%10!=0||r3.objectStoreNames.contains("$meta")||r3.db.createObjectStore("$meta").add(Math.ceil(
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+idbdb=null,this._novip=this;var a2,r3,u2,i2,s3,c3={dbOpenError:null,isBeingOpened:!1,onReadyBeingFired:null,openComplete:!1,dbReadyResolve:G,dbReadyPromise:null,cancelOpen:G,openCanceller:null,autoSchema:!0,PR1398_maxLoop:3,autoOpen:t2.autoOpen};c3.dbReadyPromise=new _e(function(e3){c3.dbReadyResolve=e3}),c3.openCanceller=new _e(function(e3,t3){c3.cancelOpen=t3}),this._state=c3,this.name=e2,this.on=dt2(this,"populate","blocked","versionchange","close",{ready:[re2,G]}),this.on.ready.subscribe=p2(
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+this._cmp=this._ascending=st,this._descending=function(e4,t4){return st(t4,e4)},this._max=function(e4,t4){return 0<st(e4,t4)?e4:t4},this._min=function(e4,t4){return st(e4,t4)<0?e4:t4},this._IDBKeyRange=s3._deps.IDBKeyRange,!this._IDBKeyRange)throw new Y.MissingAPI})),this.on("versionchange",function(e3){0<e3.newVersion?console.warn("Another connection wants to upgrade database '".concat(o2.name,"'. Closing db now to resume the upgrade.")):console.warn("Another connection wants to delete database\
+ '".concat(o2.name,"'. Closing db now to resume the delete request.")),o2.close({disableAutoOpen:!1})}),this.on("blocked",function(e3){!e3.newVersion||e3.newVersion<e3.oldVersion?console.warn("Dexie.delete('".concat(o2.name,"') was blocked")):console.warn("Upgrade '".concat(o2.name,"' blocked by other connection holding version ").concat(e3.oldVersion/10))}),this._maxKey=Yt(t2.IDBKeyRange),this._createTransaction=function(e3,t3,n3,r4){return new o2.Transaction(e3,t3,n3,o2._options.chromeTransactionDurability,
+r4)},this._fireOnBlocked=function(t3){o2.on("blocked").fire(t3),et.filter(function(e3){return e3.name===o2.name&&e3!==o2&&!e3._state.vcFired}).map(function(e3){return e3.on("versionchange").fire(t3)})},this.use(Un),this.use(Jn),this.use(Wn),this.use(Rn),this.use(Nn);var l2=new Proxy(this,{get:function(e3,t3,n3){if(t3==="_vip")return!0;if(t3==="table")return function(e4){return Zn(o2.table(e4),l2)};var r4=Reflect.get(e3,t3,n3);return r4 instanceof ft?Zn(r4,l2):t3==="tables"?r4.map(function(e4){return Zn(
+e4,l2)}):t3==="_createTransaction"?function(){return Zn(r4.apply(this,arguments),l2)}:r4}});this.vip=l2,n2.forEach(function(e3){return e3(o2)})}var nr,F=typeof Symbol<"u"&&"observable"in Symbol?Symbol.observable:"@@observable",rr=(ir.prototype.subscribe=function(e2,t2,n2){return this._subscribe(e2&&typeof e2!="function"?e2:{next:e2,error:t2,complete:n2})},ir.prototype[F]=function(){return this},ir);function ir(e2){this._subscribe=e2}try{nr={indexedDB:f.indexedDB||f.mozIndexedDB||f.webkitIndexedDB||
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+e4=function(e5){var t4=je();try{i2&&Le();var n3=Ne(h3,e5);return n3=i2?n3.finally(Ue):n3}finally{t4&&Ae()}}(n2={subscr:t3,signal:o2.signal,requery:l2,querier:h3,trans:null}),Promise.resolve(e4).then(function(e5){p3=!0,d3=e5,a2||n2.signal.aborted||(u2={},function(e6){for(var t4 in e6)if(m(e6,t4))return;return 1}(s3=t3)||c3||(Nt(Ft,f2),c3=!0),Ge(function(){return!a2&&r3.next&&r3.next(e5)}))},function(e5){p3=!1,["DatabaseClosedError","AbortError"].includes(e5?.name)||a2||Ge(function(){a2||r3.error&&
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+n2=t2.indexedDB,t2=t2.IDBKeyRange,(vn(n2)?Promise.resolve(n2.databases()).then(function(e3){return e3.map(function(e4){return e4.name}).filter(function(e4){return e4!==tt})}):yn(n2,t2).toCollection().primaryKeys()).then(e2)}catch{return Xe(new Y.MissingAPI)}var t2,n2},defineClass:function(){return function(e2){a(this,e2)}},ignoreTransaction:function(e2){return me.trans?$e(me.transless,e2):e2()},vip:mn,async:function(t2){return function(){try{var e2=In(t2.apply(this,arguments));return e2&&typeof e2.
+then=="function"?e2:_e.resolve(e2)}catch(e3){return Xe(e3)}}},spawn:function(e2,t2,n2){try{var r3=In(e2.apply(n2,t2||[]));return r3&&typeof r3.then=="function"?r3:_e.resolve(r3)}catch(e3){return Xe(e3)}},currentTransaction:{get:function(){return me.trans||null}},waitFor:function(e2,t2){return t2=_e.resolve(typeof e2=="function"?ar.ignoreTransaction(e2):e2).timeout(t2||6e4),me.trans?me.trans.waitFor(t2):t2},Promise:_e,debug:{get:function(){return ie},set:function(e2){oe(e2)}},derive:o,extend:a,props:r2,
+override:p2,Events:dt2,on:Nt,liveQuery:or,extendObservabilitySet:Kn,getByKeyPath:O,setByKeyPath:P,delByKeyPath:function(t2,e2){typeof e2=="string"?P(t2,e2,void 0):"length"in e2&&[].map.call(e2,function(e3){P(t2,e3,void 0)})},shallowClone:g,deepClone:S2,getObjectDiff:Fn,cmp:st,asap:v,minKey:-1/0,addons:[],connections:et,errnames:z,dependencies:nr,cache:Sn,semVer:"4.0.11",version:"4.0.11".split(".").map(function(e2){return parseInt(e2)}).reduce(function(e2,t2,n2){return e2+t2/Math.pow(10,2*n2)})})),
+ar.maxKey=Yt(ar.dependencies.IDBKeyRange),typeof dispatchEvent<"u"&&typeof addEventListener<"u"&&(Nt(Ft,function(e2){cr||(e2=new CustomEvent(Mt,{detail:e2}),cr=!0,dispatchEvent(e2),cr=!1)}),addEventListener(Mt,function(e2){e2=e2.detail,cr||ur(e2)}));var sr,cr=!1,lr=function(){};return typeof BroadcastChannel<"u"&&((lr=function(){(sr=new BroadcastChannel(Mt)).onmessage=function(e2){return e2.data&&ur(e2.data)}})(),typeof sr.unref=="function"&&sr.unref(),Nt(Ft,function(e2){cr||sr.postMessage(e2)})),
+typeof addEventListener<"u"&&(addEventListener("pagehide",function(e2){if(!er.disableBfCache&&e2.persisted){ie&&console.debug("Dexie: handling persisted pagehide"),sr?.close();for(var t2=0,n2=et;t2<n2.length;t2++)n2[t2].close({disableAutoOpen:!1})}}),addEventListener("pageshow",function(e2){!er.disableBfCache&&e2.persisted&&(ie&&console.debug("Dexie: handling persisted pageshow"),lr(),ur({all:new gn(-1/0,[[]])}))})),_e.rejectionMapper=function(e2,t2){return!e2||e2 instanceof N||e2 instanceof TypeError||
+e2 instanceof SyntaxError||!e2.name||!$[e2.name]?e2:(t2=new $[e2.name](t2||e2.message,e2),"stack"in e2&&l(t2,"stack",{get:function(){return this.inner.stack}}),t2)},oe(ie),_(er,Object.freeze({__proto__:null,Dexie:er,liveQuery:or,Entity:ut,cmp:st,PropModification:xt,replacePrefix:function(e2,t2){return new xt({replacePrefix:[e2,t2]})},add:function(e2){return new xt({add:e2})},remove:function(e2){return new xt({remove:e2})},default:er,RangeSet:gn,mergeRanges:_n,rangesOverlap:xn}),{default:er}),er})}(
+dexie_min$1)),dexie_min$1.exports}var dexie_minExports=requireDexie_min();const _Dexie=getDefaultExportFromCjs(dexie_minExports),DexieSymbol=Symbol.for("Dexie"),Dexie=globalThis[DexieSymbol]||(globalThis[DexieSymbol]=_Dexie);if(_Dexie.semVer!==Dexie.semVer)throw new Error(`Two different versions of Dexie loaded in the same app: ${_Dexie.semVer} and ${Dexie.semVer}`);const{liveQuery,mergeRanges,rangesOverlap,RangeSet,cmp,Entity,PropModification,replacePrefix,add,remove}=Dexie;class LlamacppDatabase extends Dexie{conversations;messages;constructor(){
+super("LlamacppWebui"),this.version(1).stores({conversations:"id, lastModified, currNode, name",messages:"id, convId, type, role, timestamp, parent, children"})}}const db=new LlamacppDatabase;class DatabaseService{static async createConversation(name){const conversation={id:uuid$1(),name,lastModified:Date.now(),currNode:""};return await db.conversations.add(conversation),conversation}static async createMessageBranch(message,parentId){return await db.transaction("rw",[db.conversations,db.messages],
+async()=>{if(parentId!==null&&!await db.messages.get(parentId))throw new Error(`Parent message ${parentId} not found`);const newMessage={...message,id:uuid$1(),parent:parentId,toolCalls:message.toolCalls??"",children:[]};if(await db.messages.add(newMessage),parentId!==null){const parentMessage=await db.messages.get(parentId);parentMessage&&await db.messages.update(parentId,{children:[...parentMessage.children,newMessage.id]})}return await this.updateConversation(message.convId,{currNode:newMessage.
+id}),newMessage})}static async createRootMessage(convId){const rootMessage={id:uuid$1(),convId,type:"root",timestamp:Date.now(),role:MessageRole.SYSTEM,content:"",parent:null,toolCalls:"",children:[]};return await db.messages.add(rootMessage),rootMessage.id}static async createSystemMessage(convId,systemPrompt,parentId){const trimmedPrompt=systemPrompt.trim();if(!trimmedPrompt)throw new Error("Cannot create system message with empty content");const systemMessage={id:uuid$1(),convId,type:MessageRole.
+SYSTEM,timestamp:Date.now(),role:MessageRole.SYSTEM,content:trimmedPrompt,parent:parentId,children:[]};await db.messages.add(systemMessage);const parentMessage=await db.messages.get(parentId);return parentMessage&&await db.messages.update(parentId,{children:[...parentMessage.children,systemMessage.id]}),systemMessage}static async deleteConversation(id2,options){await db.transaction("rw",[db.conversations,db.messages],async()=>{if(options?.deleteWithForks){const idsToDelete=[],queue=[id2];for(;queue.
+length>0;){const parentId=queue.pop(),children=await db.conversations.filter(c2=>c2.forkedFromConversationId===parentId).toArray();for(const child2 of children)idsToDelete.push(child2.id),queue.push(child2.id)}for(const forkId of idsToDelete)await db.conversations.delete(forkId),await db.messages.where("convId").equals(forkId).delete()}else{const newParent=(await db.conversations.get(id2))?.forkedFromConversationId,directChildren=await db.conversations.filter(c2=>c2.forkedFromConversationId===id2).
+toArray();for(const child2 of directChildren)await db.conversations.update(child2.id,{forkedFromConversationId:newParent??void 0})}await db.conversations.delete(id2),await db.messages.where("convId").equals(id2).delete()})}static async deleteMessage(messageId){await db.transaction("rw",db.messages,async()=>{const message=await db.messages.get(messageId);if(message){if(message.parent){const parent=await db.messages.get(message.parent);parent&&(parent.children=parent.children.filter(childId=>childId!==
+messageId),await db.messages.put(parent))}await db.messages.delete(messageId)}})}static async deleteMessageCascading(conversationId,messageId){return await db.transaction("rw",db.messages,async()=>{const allMessages=await db.messages.where("convId").equals(conversationId).toArray(),descendants=findDescendantMessages(allMessages,messageId),allToDelete=[messageId,...descendants],message=await db.messages.get(messageId);if(message&&message.parent){const parent=await db.messages.get(message.parent);
+parent&&(parent.children=parent.children.filter(childId=>childId!==messageId),await db.messages.put(parent))}return await db.messages.bulkDelete(allToDelete),allToDelete})}static async getAllConversations(){return await db.conversations.orderBy("lastModified").reverse().toArray()}static async getConversation(id2){return await db.conversations.get(id2)}static async getConversationMessages(convId){return await db.messages.where("convId").equals(convId).sortBy("timestamp")}static async updateConversation(id2,updates){
+await db.conversations.update(id2,{...updates,lastModified:Date.now()})}static async updateCurrentNode(convId,nodeId){await this.updateConversation(convId,{currNode:nodeId})}static async updateMessage(id2,updates){await db.messages.update(id2,updates)}static async importConversations(data){let importedCount=0,skippedCount=0;return await db.transaction("rw",[db.conversations,db.messages],async()=>{for(const item of data){const{conv,messages}=item;if(await db.conversations.get(conv.id)){console.warn(
+`Conversation "${conv.name}" already exists, skipping...`),skippedCount++;continue}await db.conversations.add(conv);for(const msg of messages)await db.messages.put(msg);importedCount++}return{imported:importedCount,skipped:skippedCount}})}static async forkConversation(sourceConvId,atMessageId,options){return await db.transaction("rw",[db.conversations,db.messages],async()=>{const sourceConv=await db.conversations.get(sourceConvId);if(!sourceConv)throw new Error(`Source conversation ${sourceConvId}\
+ not found`);const allMessages=await db.messages.where("convId").equals(sourceConvId).toArray(),pathMessages=filterByLeafNodeId(allMessages,atMessageId,!0);if(pathMessages.length===0)throw new Error(`Could not resolve message path to ${atMessageId}`);const idMap=new Map;for(const msg of pathMessages)idMap.set(msg.id,uuid$1());const newConvId=uuid$1(),clonedMessages=pathMessages.map(msg=>{const newId=idMap.get(msg.id),newParent=msg.parent?idMap.get(msg.parent)??null:null,newChildren=msg.children.
+filter(childId=>idMap.has(childId)).map(childId=>idMap.get(childId));return{...msg,id:newId,convId:newConvId,parent:newParent,children:newChildren,extra:options.includeAttachments?msg.extra:void 0}}),lastClonedMessage=clonedMessages[clonedMessages.length-1],newConv={id:newConvId,name:options.name,lastModified:Date.now(),currNode:lastClonedMessage.id,forkedFromConversationId:sourceConvId,mcpServerOverrides:sourceConv.mcpServerOverrides?sourceConv.mcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.
+enabled})):void 0};await db.conversations.add(newConv);for(const msg of clonedMessages)await db.messages.add(msg);return newConv})}}const MIGRATION_DONE_KEY="llama-webui-migration-v2-done";function isMigrationNeeded(){try{return!localStorage.getItem(MIGRATION_DONE_KEY)}catch{return!1}}function markMigrationDone(){try{localStorage.setItem(MIGRATION_DONE_KEY,String(Date.now()))}catch{}}function hasLegacyMarkers(message){return message.content?LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test(message.content):
+!1}function extractLegacyReasoning(content2){let reasoning="",cleanContent=content2;const re2=new RegExp(LEGACY_AGENTIC_REGEX.REASONING_EXTRACT.source,"g");let match;for(;(match=re2.exec(content2))!==null;)reasoning+=match[1];return cleanContent=cleanContent.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source,"g"),"").replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN,""),{reasoning,cleanContent}}function parseLegacyToolCalls(content2){const turns=[],regex=new RegExp(LEGACY_AGENTIC_REGEX.COMPLETED_TOOL_CALL.
+source,"g");let lastIndex=0,currentTurn={textBefore:"",toolCalls:[]},match;for(;(match=regex.exec(content2))!==null;){const textBefore=content2.slice(lastIndex,match.index).trim();textBefore&&currentTurn.toolCalls.length>0?(turns.push(currentTurn),currentTurn={textBefore,toolCalls:[]}):textBefore&&currentTurn.toolCalls.length===0&&(currentTurn.textBefore=textBefore),currentTurn.toolCalls.push({name:match[1],args:match[2],result:match[3].replace(/^\n+|\n+$/g,"")}),lastIndex=match.index+match[0].length}
+const remainingText=content2.slice(lastIndex).trim();if(currentTurn.toolCalls.length>0&&turns.push(currentTurn),remainingText){const cleanRemaining=remainingText.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN,"").trim();cleanRemaining&&turns.push({textBefore:cleanRemaining,toolCalls:[]})}return turns.length===0&&turns.push({textBefore:content2.trim(),toolCalls:[]}),turns}async function migrateConversation(convId){const allMessages=await DatabaseService.getConversationMessages(convId);let migratedCount=0;
+for(const message of allMessages){if(message.role!==MessageRole.ASSISTANT)continue;if(!hasLegacyMarkers(message)){if(message.content?.includes(LEGACY_REASONING_TAGS.START)){const{reasoning:reasoning2,cleanContent:cleanContent2}=extractLegacyReasoning(message.content);await DatabaseService.updateMessage(message.id,{content:cleanContent2.trim(),reasoningContent:reasoning2||void 0}),migratedCount++}continue}const{reasoning,cleanContent}=extractLegacyReasoning(message.content),turns=parseLegacyToolCalls(
+cleanContent);let existingToolCalls=[];if(message.toolCalls)try{existingToolCalls=JSON.parse(message.toolCalls)}catch{}const firstTurn=turns[0];if(!firstTurn)continue;const firstTurnToolCalls=firstTurn.toolCalls.map((tc,i)=>({id:(existingToolCalls.find(e=>e.function?.name===tc.name)||existingToolCalls[i])?.id||`legacy_tool_${i}`,type:"function",function:{name:tc.name,arguments:tc.args}}));await DatabaseService.updateMessage(message.id,{content:firstTurn.textBefore,reasoningContent:reasoning||void 0,
+toolCalls:firstTurnToolCalls.length>0?JSON.stringify(firstTurnToolCalls):""});let currentParentId=message.id,toolCallIdCounter=existingToolCalls.length;for(let i=0;i<firstTurn.toolCalls.length;i++){const tc=firstTurn.toolCalls[i],toolCallId=firstTurnToolCalls[i]?.id||`legacy_tool_${i}`;currentParentId=(await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:tc.result,toolCallId,timestamp:message.timestamp+i+1,toolCalls:"",children:[]},currentParentId)).
+id}for(let turnIdx=1;turnIdx<turns.length;turnIdx++){const turn=turns[turnIdx],turnToolCalls=turn.toolCalls.map((tc,i)=>{const idx=toolCallIdCounter+i;return{id:existingToolCalls[idx]?.id||`legacy_tool_${idx}`,type:"function",function:{name:tc.name,arguments:tc.args}}});toolCallIdCounter+=turn.toolCalls.length,currentParentId=(await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:turn.textBefore,timestamp:message.timestamp+turnIdx*100,toolCalls:turnToolCalls.
+length>0?JSON.stringify(turnToolCalls):"",children:[],model:message.model},currentParentId)).id;for(let i=0;i<turn.toolCalls.length;i++){const tc=turn.toolCalls[i],toolCallId=turnToolCalls[i]?.id||`legacy_tool_${toolCallIdCounter+i}`;currentParentId=(await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:tc.result,toolCallId,timestamp:message.timestamp+turnIdx*100+i+1,toolCalls:"",children:[]},currentParentId)).id}}if(message.children.length>0&&currentParentId!==
+message.id){for(const childId of message.children){const child2=allMessages.find(m=>m.id===childId);if(child2&&child2.role!==MessageRole.TOOL){await DatabaseService.updateMessage(childId,{parent:currentParentId});const newParent=await DatabaseService.getConversationMessages(convId).then(msgs=>msgs.find(m=>m.id===currentParentId));newParent&&!newParent.children.includes(childId)&&await DatabaseService.updateMessage(currentParentId,{children:[...newParent.children,childId]})}}await DatabaseService.
+updateMessage(message.id,{children:[]})}migratedCount++}return migratedCount}async function runLegacyMigration(){if(isMigrationNeeded()){console.log("[Migration] Starting legacy message format migration...");try{const conversations2=await DatabaseService.getAllConversations();let totalMigrated=0;for(const conv of conversations2){const count=await migrateConversation(conv.id);totalMigrated+=count}totalMigrated>0?console.log(`[Migration] Migrated ${totalMigrated} messages across ${conversations2.length}\
+ conversations`):console.log("[Migration] No legacy messages found, marking as done"),markMigrationDone()}catch(error2){console.error("[Migration] Failed to migrate legacy messages:",error2),markMigrationDone()}}}class TTLCache{cache=new Map;ttlMs;maxEntries;onEvict;constructor(options={}){this.ttlMs=options.ttlMs??DEFAULT_CACHE_TTL_MS,this.maxEntries=options.maxEntries??DEFAULT_CACHE_MAX_ENTRIES,this.onEvict=options.onEvict}get(key2){const entry=this.cache.get(key2);return entry?Date.now()>entry.
+expiresAt?(this.delete(key2),null):(entry.lastAccessed=Date.now(),entry.value):null}set(key2,value,customTtlMs){this.cache.size>=this.maxEntries&&!this.cache.has(key2)&&this.evictOldest();const ttl=customTtlMs??this.ttlMs,now2=Date.now();this.cache.set(key2,{value,expiresAt:now2+ttl,lastAccessed:now2})}has(key2){const entry=this.cache.get(key2);return entry?Date.now()>entry.expiresAt?(this.delete(key2),!1):!0:!1}delete(key2){const entry=this.cache.get(key2);return entry&&this.onEvict&&this.onEvict(
+key2,entry.value),this.cache.delete(key2)}clear(){if(this.onEvict)for(const[key2,entry]of this.cache)this.onEvict(key2,entry.value);this.cache.clear()}get size(){return this.cache.size}prune(){const now2=Date.now();let pruned=0;for(const[key2,entry]of this.cache)now2>entry.expiresAt&&(this.delete(key2),pruned++);return pruned}keys(){const now2=Date.now(),validKeys=[];for(const[key2,entry]of this.cache)now2<=entry.expiresAt&&validKeys.push(key2);return validKeys}evictOldest(){let oldestKey=null,oldestTime=1/0;
+for(const[key2,entry]of this.cache)entry.lastAccessed<oldestTime&&(oldestTime=entry.lastAccessed,oldestKey=key2);oldestKey!==null&&this.delete(oldestKey)}touch(key2){const entry=this.cache.get(key2);if(!entry)return!1;const now2=Date.now();return now2>entry.expiresAt?(this.delete(key2),!1):(entry.expiresAt=now2+this.ttlMs,entry.lastAccessed=now2,!0)}}function getRequestUrl(input){return typeof input=="string"?input:input instanceof URL?input.href:input.url}function getRequestMethod(input,init2,baseInit){
+return init2?.method?init2.method:typeof Request<"u"&&input instanceof Request?input.method:baseInit?.method??"GET"}function getRequestBody(input,init2){if(init2?.body!==void 0)return init2.body;if(typeof Request<"u"&&input instanceof Request)return input.body}function summarizeRequestBody(body2){return body2==null?{kind:"empty"}:typeof body2=="string"?{kind:"string",size:body2.length}:body2 instanceof Blob?{kind:"blob",size:body2.size}:body2 instanceof URLSearchParams?{kind:"urlsearchparams",size:body2.
+toString().length}:body2 instanceof FormData?{kind:"formdata"}:body2 instanceof ArrayBuffer?{kind:"arraybuffer",size:body2.byteLength}:ArrayBuffer.isView(body2)?{kind:body2.constructor.name,size:body2.byteLength}:{kind:typeof body2}}function formatDiagnosticErrorMessage(error2){const message=error2 instanceof Error?error2.message:String(error2);return message.includes("Failed to fetch")?`${message} (check CORS?)`:message}function extractJsonRpcMethods(body2){if(typeof body2=="string")try{const parsed=JSON.
+parse(body2),methods=(Array.isArray(parsed)?parsed:[parsed]).map(message=>typeof message?.method=="string"?message.method:void 0).filter(method=>!!method);return methods.length>0?methods:void 0}catch{return}}function throwIfAborted(signal){if(signal?.aborted)throw new DOMException("Operation was aborted","AbortError")}function isAbortError(error2){return error2 instanceof DOMException&&error2.name==="AbortError"||error2 instanceof Error&&error2.name==="AbortError"}function uuid$1(){return globalThis.
+crypto?.randomUUID?.()??Math.random().toString(36).substring(2)}function ActionIconCopyToClipboard($$anchor,$$props){push$1($$props,!0);let ariaLabel=prop($$props,"ariaLabel",3,"Copy to clipboard"),canCopy=prop($$props,"canCopy",3,!0);{let $0=user_derived(()=>canCopy()?"pointer":"not-allowed");Copy($$anchor,{get class(){return`h-3 w-3 flex-shrink-0 cursor-${get$4($0)??""}`},get"aria-label"(){return ariaLabel()},onclick:()=>canCopy()&&copyToClipboard($$props.text)})}pop()}function ActionIconRemove($$anchor,$$props){
+push$1($$props,!0);let className=prop($$props,"class",3,""),iconSize=prop($$props,"iconSize",3,3);Button($$anchor,{type:"button",variant:"ghost",size:"icon-sm",get class(){return`bg-white/20 p-0 hover:bg-white/30 ${className()??""}`},onclick:e=>{e.stopPropagation(),$$props.onRemove?.($$props.id)},"aria-label":"Remove file",children:($$anchor2,$$slotProps)=>{X($$anchor2,{get class(){return`h-${iconSize()??""} w-${iconSize()??""}`}})},$$slots:{default:!0}}),pop()}var root_6$z=from_html("<p> </p>"),
+root_2$15=from_html("<!> <!>",1);function BadgeChatStatistic($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,"");function handleClick(){copyToClipboard(String($$props.value))}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$15(),node_2=first_child(
+fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{BadgeInfo($$anchor6,{get class(){return className()},onclick:handleClick,icon:$$anchor7=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(node_3,()=>$$props.icon,($$anchor8,Icon_1)=>{Icon_1($$anchor8,{class:"h-3 w-3"})}),append($$anchor7,fragment_4)},children:($$anchor7,$$slotProps3)=>{next$1();var text2=text$8();template_effect(()=>set_text(
+text2,$$props.value)),append($$anchor7,text2)},$$slots:{icon:!0,default:!0}})},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_6$z(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},
+alternate=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},onclick:handleClick,icon:$$anchor3=>{var fragment_7=comment$2(),node_5=first_child(fragment_7);component(node_5,()=>$$props.icon,($$anchor4,Icon_2)=>{Icon_2($$anchor4,{class:"h-3 w-3"})}),append($$anchor3,fragment_7)},children:($$anchor3,$$slotProps)=>{next$1();var text_2=text$8();template_effect(()=>set_text(text_2,$$props.value)),append($$anchor3,text_2)},$$slots:{icon:!0,default:!0}})};if_block(node2,$$render=>{$$props.
+tooltipLabel?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root$1w=from_html("<button><!> <!></button>");function BadgeInfo($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,"");var button=root$1w();button.__click=function(...$$args){$$props.onclick?.apply(this,$$args)};var node2=child(button);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);snippet(node_1,()=>$$props.icon),append($$anchor2,fragment)};if_block(
+node2,$$render=>{$$props.icon&&$$render(consequent)})}var node_2=sibling(node2,2);snippet(node_2,()=>$$props.children),reset(button),template_effect($0=>set_class(button,1,$0),[()=>clsx(cn$1("inline-flex cursor-pointer items-center gap-1 rounded-sm bg-muted-foreground/15 px-1.5 py-0.75",className()))]),append($$anchor,button),pop()}delegate(["click"]);var root_1$$=from_html("<span><!> </span>");function BadgeModality($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,"");const displayableModalities=user_derived(
+()=>$$props.modalities.filter(m=>m===ModelModality.VISION||m===ModelModality.AUDIO));var fragment=comment$2(),node2=first_child(fragment);each(node2,17,()=>get$4(displayableModalities),index$2,($$anchor2,modality)=>{const IconComponent=user_derived(()=>MODALITY_ICONS[get$4(modality)]),label=user_derived(()=>MODALITY_LABELS[get$4(modality)]);var span=root_1$$(),node_1=child(span);{var consequent=$$anchor3=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);component(node_2,()=>get$4(IconComponent),
+($$anchor4,IconComponent_1)=>{IconComponent_1($$anchor4,{class:"h-3 w-3"})}),append($$anchor3,fragment_1)};if_block(node_1,$$render=>{get$4(IconComponent)&&$$render(consequent)})}var text2=sibling(node_1);reset(span),template_effect($0=>{set_class(span,1,$0),set_text(text2,` ${get$4(label)??""}`)},[()=>clsx(cn$1("inline-flex items-center gap-1 rounded-md bg-muted px-2 py-1 text-xs font-medium",className()))]),append($$anchor2,span)}),append($$anchor,fragment),pop()}var root_12$a=from_html('<div \
+class="mt-2 -mr-2 flex justify-end px-4"><!></div>'),root_2$14=from_html("<!> <!>",1),root_14$9=from_html('<div class="flex flex-wrap items-start justify-end gap-3"></div>'),root_1$_=from_html("<div><!></div>"),root$1v=from_html("<!> <!> <!> <!>",1);function ChatAttachmentsList($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),style2=prop($$props,"style",3,""),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),uploadedFiles=prop(
+$$props,"uploadedFiles",27,()=>proxy([])),imageClass=prop($$props,"imageClass",3,""),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),limitToSingleRow=prop($$props,"limitToSingleRow",3,!1),displayItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()})),carouselRef=state$1(void 0),isScrollable=state$1(!1),previewDialogOpen=state$1(!1),previewItem=state$1(null),mcpResourcePreviewOpen=state$1(!1),mcpResourcePreviewExtra=state$1(
+null),showViewAll=user_derived(()=>limitToSingleRow()&&get$4(displayItems).length>0&&get$4(isScrollable)),viewAllDialogOpen=state$1(!1);function openPreview(item,event2){event2?.stopPropagation(),event2?.preventDefault(),set$1(previewItem,{uploadedFile:item.uploadedFile,attachment:item.attachment,preview:item.preview,name:item.name,size:item.size,textContent:item.textContent},!0),set$1(previewDialogOpen,!0)}function openMcpResourcePreview(extra){set$1(mcpResourcePreviewExtra,extra,!0),set$1(mcpResourcePreviewOpen,
+!0)}function toMcpResourceAttachment(extra,id2){return{id:id2,resource:{uri:extra.uri,name:extra.name,title:extra.name,serverName:extra.serverName}}}user_effect(()=>{get$4(carouselRef)&&get$4(displayItems).length&&get$4(carouselRef).resetScroll()});var fragment=root$1v(),node2=first_child(fragment);{var consequent_10=$$anchor2=>{var div=root_1$_(),node_1=child(div);{var consequent_5=$$anchor3=>{var fragment_1=root_2$14(),node_2=first_child(fragment_1);bind_this(HorizontalScrollCarousel(node_2,{onScrollableChange:scrollable=>set$1(
+isScrollable,scrollable,!0),children:($$anchor4,$$slotProps)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);each(node_3,17,()=>get$4(displayItems),item=>item.id,($$anchor5,item)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);{var consequent_1=$$anchor6=>{const mcpPrompt=user_derived(()=>get$4(item).attachment?.type===AttachmentType.MCP_PROMPT?get$4(item).attachment:get$4(item).uploadedFile?.mcpPrompt?{type:AttachmentType.MCP_PROMPT,name:get$4(item).name,serverName:get$4(
+item).uploadedFile.mcpPrompt.serverName,promptName:get$4(item).uploadedFile.mcpPrompt.promptName,content:get$4(item).textContent??"",arguments:get$4(item).uploadedFile.mcpPrompt.arguments}:null);var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent=$$anchor7=>{{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":""),$1=user_derived(()=>$$props.onFileRemove?()=>$$props.onFileRemove(get$4(item).id):void 0);ChatAttachmentMcpPrompt($$anchor7,{get class(){return`max-\
+w-[300px] min-w-[200px] flex-shrink-0 ${get$4($0)??""}`},get prompt(){return get$4(mcpPrompt)},get readonly(){return readonly2()},get isLoading(){return get$4(item).isLoading},get loadError(){return get$4(item).loadError},get onRemove(){return get$4($1)}})}};if_block(node_5,$$render=>{get$4(mcpPrompt)&&$$render(consequent)})}append($$anchor6,fragment_4)},alternate_2=$$anchor6=>{var fragment_6=comment$2(),node_6=first_child(fragment_6);{var consequent_2=$$anchor7=>{const mcpResource=user_derived(
+()=>get$4(item).attachment);{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":""),$1=user_derived(()=>toMcpResourceAttachment(get$4(mcpResource),get$4(item).id));ChatAttachmentMcpResource($$anchor7,{get class(){return`flex-shrink-0 ${get$4($0)??""}`},get attachment(){return get$4($1)},onClick:()=>openMcpResourcePreview(get$4(mcpResource))})}},alternate_1=$$anchor7=>{var fragment_8=comment$2(),node_7=first_child(fragment_8);{var consequent_3=$$anchor8=>{{let $0=user_derived(()=>limitToSingleRow()?
+"first:ml-4 last:mr-4":"");ChatAttachmentThumbnailImage($$anchor8,{get class(){return`flex-shrink-0 cursor-pointer ${get$4($0)??""}`},get id(){return get$4(item).id},get name(){return get$4(item).name},get preview(){return get$4(item).preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onClick:event2=>openPreview(get$4(item),event2)})}},alternate=$$anchor8=>{
+{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":"");ChatAttachmentThumbnailFile($$anchor8,{get class(){return`flex-shrink-0 cursor-pointer ${get$4($0)??""}`},get id(){return get$4(item).id},get name(){return get$4(item).name},get size(){return get$4(item).size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return get$4(item).textContent},get attachment(){return get$4(item).attachment},get uploadedFile(){return get$4(item).uploadedFile},
+onClick:event2=>openPreview(get$4(item),event2)})}};if_block(node_7,$$render=>{get$4(item).isImage&&get$4(item).preview?$$render(consequent_3):$$render(alternate,!1)},!0)}append($$anchor7,fragment_8)};if_block(node_6,$$render=>{get$4(item).isMcpResource&&get$4(item).attachment?.type===AttachmentType.MCP_RESOURCE?$$render(consequent_2):$$render(alternate_1,!1)},!0)}append($$anchor6,fragment_6)};if_block(node_4,$$render=>{get$4(item).isMcpPrompt?$$render(consequent_1):$$render(alternate_2,!1)})}append(
+$$anchor5,fragment_3)}),append($$anchor4,fragment_2)},$$slots:{default:!0}}),$$value=>set$1(carouselRef,$$value,!0),()=>get$4(carouselRef));var node_8=sibling(node_2,2);{var consequent_4=$$anchor4=>{var div_1=root_12$a(),node_9=child(div_1);Button(node_9,{type:"button",variant:"ghost",size:"sm",class:"h-6 text-xs text-muted-foreground hover:text-foreground",onclick:()=>set$1(viewAllDialogOpen,!0),children:($$anchor5,$$slotProps)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`V\
+iew all (${get$4(displayItems).length??""})`)),append($$anchor5,text2)},$$slots:{default:!0}}),reset(div_1),append($$anchor4,div_1)};if_block(node_8,$$render=>{get$4(showViewAll)&&$$render(consequent_4)})}append($$anchor3,fragment_1)},alternate_6=$$anchor3=>{var div_2=root_14$9();each(div_2,21,()=>get$4(displayItems),item=>item.id,($$anchor4,item)=>{var fragment_12=comment$2(),node_10=first_child(fragment_12);{var consequent_7=$$anchor5=>{const mcpPrompt=user_derived(()=>get$4(item).attachment?.
+type===AttachmentType.MCP_PROMPT?get$4(item).attachment:get$4(item).uploadedFile?.mcpPrompt?{type:AttachmentType.MCP_PROMPT,name:get$4(item).name,serverName:get$4(item).uploadedFile.mcpPrompt.serverName,promptName:get$4(item).uploadedFile.mcpPrompt.promptName,content:get$4(item).textContent??"",arguments:get$4(item).uploadedFile.mcpPrompt.arguments}:null);var fragment_13=comment$2(),node_11=first_child(fragment_13);{var consequent_6=$$anchor6=>{{let $0=user_derived(()=>$$props.onFileRemove?()=>$$props.
+onFileRemove(get$4(item).id):void 0);ChatAttachmentMcpPrompt($$anchor6,{class:"max-w-[300px] min-w-[200px]",get prompt(){return get$4(mcpPrompt)},get readonly(){return readonly2()},get isLoading(){return get$4(item).isLoading},get loadError(){return get$4(item).loadError},get onRemove(){return get$4($0)}})}};if_block(node_11,$$render=>{get$4(mcpPrompt)&&$$render(consequent_6)})}append($$anchor5,fragment_13)},alternate_5=$$anchor5=>{var fragment_15=comment$2(),node_12=first_child(fragment_15);{var consequent_8=$$anchor6=>{
+const mcpResource=user_derived(()=>get$4(item).attachment);{let $0=user_derived(()=>toMcpResourceAttachment(get$4(mcpResource),get$4(item).id));ChatAttachmentMcpResource($$anchor6,{get attachment(){return get$4($0)},onClick:()=>openMcpResourcePreview(get$4(mcpResource))})}},alternate_4=$$anchor6=>{var fragment_17=comment$2(),node_13=first_child(fragment_17);{var consequent_9=$$anchor7=>{ChatAttachmentThumbnailImage($$anchor7,{class:"cursor-pointer",get id(){return get$4(item).id},get name(){return get$4(
+item).name},get preview(){return get$4(item).preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onClick:event2=>openPreview(get$4(item),event2)})},alternate_3=$$anchor7=>{ChatAttachmentThumbnailFile($$anchor7,{class:"cursor-pointer",get id(){return get$4(item).id},get name(){return get$4(item).name},get size(){return get$4(item).size},get readonly(){return readonly2()},
+get onRemove(){return $$props.onFileRemove},get textContent(){return get$4(item).textContent},get attachment(){return get$4(item).attachment},get uploadedFile(){return get$4(item).uploadedFile},onClick:event2=>openPreview(get$4(item),event2)})};if_block(node_13,$$render=>{get$4(item).isImage&&get$4(item).preview?$$render(consequent_9):$$render(alternate_3,!1)},!0)}append($$anchor6,fragment_17)};if_block(node_12,$$render=>{get$4(item).isMcpResource&&get$4(item).attachment?.type===AttachmentType.MCP_RESOURCE?
+$$render(consequent_8):$$render(alternate_4,!1)},!0)}append($$anchor5,fragment_15)};if_block(node_10,$$render=>{get$4(item).isMcpPrompt?$$render(consequent_7):$$render(alternate_5,!1)})}append($$anchor4,fragment_12)}),reset(div_2),append($$anchor3,div_2)};if_block(node_1,$$render=>{limitToSingleRow()?$$render(consequent_5):$$render(alternate_6,!1)})}reset(div),template_effect(()=>{set_class(div,1,clsx(className())),set_style(div,style2())}),append($$anchor2,div)};if_block(node2,$$render=>{get$4(
+displayItems).length>0&&$$render(consequent_10)})}var node_14=sibling(node2,2);{var consequent_11=$$anchor2=>{DialogChatAttachmentPreview($$anchor2,{get uploadedFile(){return get$4(previewItem).uploadedFile},get attachment(){return get$4(previewItem).attachment},get preview(){return get$4(previewItem).preview},get name(){return get$4(previewItem).name},get size(){return get$4(previewItem).size},get textContent(){return get$4(previewItem).textContent},get activeModelId(){return $$props.activeModelId},
+get open(){return get$4(previewDialogOpen)},set open($$value){set$1(previewDialogOpen,$$value,!0)}})};if_block(node_14,$$render=>{get$4(previewItem)&&$$render(consequent_11)})}var node_15=sibling(node_14,2);DialogChatAttachmentsViewAll(node_15,{get uploadedFiles(){return uploadedFiles()},get attachments(){return attachments()},get readonly(){return readonly2()},get onFileRemove(){return $$props.onFileRemove},imageHeight:"h-64",get imageClass(){return imageClass()},get activeModelId(){return $$props.
+activeModelId},get open(){return get$4(viewAllDialogOpen)},set open($$value){set$1(viewAllDialogOpen,$$value,!0)}});var node_16=sibling(node_15,2);{var consequent_12=$$anchor2=>{DialogMcpResourcePreview($$anchor2,{get extra(){return get$4(mcpResourcePreviewExtra)},get open(){return get$4(mcpResourcePreviewOpen)},set open($$value){set$1(mcpResourcePreviewOpen,$$value,!0)}})};if_block(node_16,$$render=>{get$4(mcpResourcePreviewExtra)&&$$render(consequent_12)})}append($$anchor,fragment),pop()}var root_1$Z=from_html(
+'<div class="absolute top-10 right-2 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"><!></div>'),root$1u=from_html("<div><!> <!></div>");function ChatAttachmentMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),readonly2=prop($$props,"readonly",3,!1),isLoading2=prop($$props,"isLoading",3,!1);var div=root$1u(),node2=child(div);ChatMessageMcpPromptContent(node2,{get prompt(){return $$props.prompt},get variant(){return McpPromptVariant.
+ATTACHMENT},get isLoading(){return isLoading2()},get loadError(){return $$props.loadError}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div_1=root_1$Z(),node_2=child(div_1);ActionIconRemove(node_2,{get id(){return $$props.prompt.name},onRemove:()=>$$props.onRemove?.()}),reset(div_1),append($$anchor2,div_1)};if_block(node_1,$$render=>{!readonly2()&&$$props.onRemove&&$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,`group relative ${className()??""}`)),append(
+$$anchor,div),pop()}const NEVER=Object.freeze({status:"aborted"});function $constructor(name,initializer2,params){function init2(inst,def){if(inst._zod||Object.defineProperty(inst,"_zod",{value:{def,constr:_,traits:new Set},enumerable:!1}),inst._zod.traits.has(name))return;inst._zod.traits.add(name),initializer2(inst,def);const proto=_.prototype,keys2=Object.keys(proto);for(let i=0;i<keys2.length;i++){const k=keys2[i];k in inst||(inst[k]=proto[k].bind(inst))}}const Parent=params?.Parent??Object;
+class Definition extends Parent{}Object.defineProperty(Definition,"name",{value:name});function _(def){var _a2;const inst=params?.Parent?new Definition:this;init2(inst,def),(_a2=inst._zod).deferred??(_a2.deferred=[]);for(const fn of inst._zod.deferred)fn();return inst}return Object.defineProperty(_,"init",{value:init2}),Object.defineProperty(_,Symbol.hasInstance,{value:inst=>params?.Parent&&inst instanceof params.Parent?!0:inst?._zod?.traits?.has(name)}),Object.defineProperty(_,"name",{value:name}),
+_}class $ZodAsyncError extends Error{constructor(){super("Encountered Promise during synchronous parse. Use .parseAsync() instead.")}}class $ZodEncodeError extends Error{constructor(name){super(`Encountered unidirectional transform during encode: ${name}`),this.name="ZodEncodeError"}}const globalConfig={};function config(newConfig){return globalConfig}function getEnumValues(entries){const numericValues=Object.values(entries).filter(v=>typeof v=="number");return Object.entries(entries).filter(([k,
+_])=>numericValues.indexOf(+k)===-1).map(([_,v])=>v)}function jsonStringifyReplacer(_,value){return typeof value=="bigint"?value.toString():value}function cached(getter){return{get value(){{const value=getter();return Object.defineProperty(this,"value",{value}),value}}}}function nullish(input){return input==null}function cleanRegex(source2){const start2=source2.startsWith("^")?1:0,end=source2.endsWith("$")?source2.length-1:source2.length;return source2.slice(start2,end)}function floatSafeRemainder(val,step){
+const valDecCount=(val.toString().split(".")[1]||"").length,stepString=step.toString();let stepDecCount=(stepString.split(".")[1]||"").length;if(stepDecCount===0&&/\d?e-\d?/.test(stepString)){const match=stepString.match(/\d?e-(\d?)/);match?.[1]&&(stepDecCount=Number.parseInt(match[1]))}const decCount=valDecCount>stepDecCount?valDecCount:stepDecCount,valInt=Number.parseInt(val.toFixed(decCount).replace(".","")),stepInt=Number.parseInt(step.toFixed(decCount).replace(".",""));return valInt%stepInt/
+10**decCount}const EVALUATING=Symbol("evaluating");function defineLazy(object2,key2,getter){let value;Object.defineProperty(object2,key2,{get(){if(value!==EVALUATING)return value===void 0&&(value=EVALUATING,value=getter()),value},set(v){Object.defineProperty(object2,key2,{value:v})},configurable:!0})}function assignProp(target2,prop2,value){Object.defineProperty(target2,prop2,{value,writable:!0,enumerable:!0,configurable:!0})}function mergeDefs(...defs){const mergedDescriptors={};for(const def of defs){
+const descriptors=Object.getOwnPropertyDescriptors(def);Object.assign(mergedDescriptors,descriptors)}return Object.defineProperties({},mergedDescriptors)}function esc(str){return JSON.stringify(str)}function slugify(input){return input.toLowerCase().trim().replace(/[^\w\s-]/g,"").replace(/[\s_-]+/g,"-").replace(/^-+|-+$/g,"")}const captureStackTrace="captureStackTrace"in Error?Error.captureStackTrace:(..._args)=>{};function isObject$1(data){return typeof data=="object"&&data!==null&&!Array.isArray(
+data)}const allowsEval=cached(()=>{if(typeof navigator<"u"&&navigator?.userAgent?.includes("Cloudflare"))return!1;try{const F=Function;return new F(""),!0}catch{return!1}});function isPlainObject$2(o){if(isObject$1(o)===!1)return!1;const ctor=o.constructor;if(ctor===void 0||typeof ctor!="function")return!0;const prot=ctor.prototype;return!(isObject$1(prot)===!1||Object.prototype.hasOwnProperty.call(prot,"isPrototypeOf")===!1)}function shallowClone(o){return isPlainObject$2(o)?{...o}:Array.isArray(
+o)?[...o]:o}const propertyKeyTypes=new Set(["string","number","symbol"]);function escapeRegex(str){return str.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")}function clone(inst,def,params){const cl=new inst._zod.constr(def??inst._zod.def);return(!def||params?.parent)&&(cl._zod.parent=inst),cl}function normalizeParams(_params){const params=_params;if(!params)return{};if(typeof params=="string")return{error:()=>params};if(params?.message!==void 0){if(params?.error!==void 0)throw new Error("Cannot specify b\
+oth `message` and `error` params");params.error=params.message}return delete params.message,typeof params.error=="string"?{...params,error:()=>params.error}:params}function optionalKeys(shape){return Object.keys(shape).filter(k=>shape[k]._zod.optin==="optional"&&shape[k]._zod.optout==="optional")}const NUMBER_FORMAT_RANGES={safeint:[Number.MIN_SAFE_INTEGER,Number.MAX_SAFE_INTEGER],int32:[-2147483648,2147483647],uint32:[0,4294967295],float32:[-34028234663852886e22,34028234663852886e22],float64:[-Number.
+MAX_VALUE,Number.MAX_VALUE]};function pick(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(newShape[key2]=currDef.shape[key2])}return assignProp(this,"shape",newShape),newShape},checks:[]});return clone(schema,def)}function omit(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={...schema.
+_zod.def.shape};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&delete newShape[key2]}return assignProp(this,"shape",newShape),newShape},checks:[]});return clone(schema,def)}function extend$2(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to extend: expected a plain object");const checks2=schema._zod.def.checks;if(checks2&&checks2.length>0)throw new Error("Object schemas containing refinements cannot be exten\
+ded. Use `.safeExtend()` instead.");const def=mergeDefs(schema._zod.def,{get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:[]});return clone(schema,def)}function safeExtend(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to safeExtend: expected a plain object");const def={...schema._zod.def,get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:schema.
+_zod.def.checks};return clone(schema,def)}function merge$1(a,b){const def=mergeDefs(a._zod.def,{get shape(){const _shape={...a._zod.def.shape,...b._zod.def.shape};return assignProp(this,"shape",_shape),_shape},get catchall(){return b._zod.def.catchall},checks:[]});return clone(a,def)}function partial(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){if(!(key2 in oldShape))throw new Error(`U\
+nrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):oldShape[key2])}else for(const key2 in oldShape)shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):oldShape[key2];return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function required$4(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){
+if(!(key2 in shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]}))}else for(const key2 in oldShape)shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]});return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function aborted(x,startIndex=0){if(x.aborted===!0)return!0;for(let i=startIndex;i<x.issues.length;i++)if(x.issues[i]?.continue!==!0)return!0;return!1}function prefixIssues(path2,issues){
+return issues.map(iss=>{var _a2;return(_a2=iss).path??(_a2.path=[]),iss.path.unshift(path2),iss})}function unwrapMessage(message){return typeof message=="string"?message:message?.message}function finalizeIssue(iss,ctx,config2){const full={...iss,path:iss.path??[]};if(!iss.message){const message=unwrapMessage(iss.inst?._zod.def?.error?.(iss))??unwrapMessage(ctx?.error?.(iss))??unwrapMessage(config2.customError?.(iss))??unwrapMessage(config2.localeError?.(iss))??"Invalid input";full.message=message}
+return delete full.inst,delete full.continue,ctx?.reportInput||delete full.input,full}function getLengthableOrigin(input){return Array.isArray(input)?"array":typeof input=="string"?"string":"unknown"}function issue(...args){const[iss,input,inst]=args;return typeof iss=="string"?{message:iss,code:"custom",input,inst}:{...iss}}const initializer$1=(inst,def)=>{inst.name="$ZodError",Object.defineProperty(inst,"_zod",{value:inst._zod,enumerable:!1}),Object.defineProperty(inst,"issues",{value:def,enumerable:!1}),
+inst.message=JSON.stringify(def,jsonStringifyReplacer,2),Object.defineProperty(inst,"toString",{value:()=>inst.message,enumerable:!1})},$ZodError=$constructor("$ZodError",initializer$1),$ZodRealError=$constructor("$ZodError",initializer$1,{Parent:Error});function flattenError$1(error2,mapper=issue2=>issue2.message){const fieldErrors={},formErrors=[];for(const sub2 of error2.issues)sub2.path.length>0?(fieldErrors[sub2.path[0]]=fieldErrors[sub2.path[0]]||[],fieldErrors[sub2.path[0]].push(mapper(sub2))):
+formErrors.push(mapper(sub2));return{formErrors,fieldErrors}}function formatError(error2,mapper=issue2=>issue2.message){const fieldErrors={_errors:[]},processError=error3=>{for(const issue2 of error3.issues)if(issue2.code==="invalid_union"&&issue2.errors.length)issue2.errors.map(issues=>processError({issues}));else if(issue2.code==="invalid_key")processError({issues:issue2.issues});else if(issue2.code==="invalid_element")processError({issues:issue2.issues});else if(issue2.path.length===0)fieldErrors.
+_errors.push(mapper(issue2));else{let curr=fieldErrors,i=0;for(;i<issue2.path.length;){const el=issue2.path[i];i===issue2.path.length-1?(curr[el]=curr[el]||{_errors:[]},curr[el]._errors.push(mapper(issue2))):curr[el]=curr[el]||{_errors:[]},curr=curr[el],i++}}};return processError(error2),fieldErrors}const _parse=_Err=>(schema,value,_ctx,_params)=>{const ctx=_ctx?Object.assign(_ctx,{async:!1}):{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise)throw new $ZodAsyncError;
+if(result.issues.length){const e=new(_params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));throw captureStackTrace(e,_params?.callee),e}return result.value},_parseAsync=_Err=>async(schema,value,_ctx,params)=>{const ctx=_ctx?Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise&&(result=await result),result.issues.length){const e=new(params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));
+throw captureStackTrace(e,params?.callee),e}return result.value},_safeParse=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?{..._ctx,async:!1}:{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise)throw new $ZodAsyncError;return result.issues.length?{success:!1,error:new(_Err??$ZodError)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}:{success:!0,data:result.value}},safeParse$2=_safeParse($ZodRealError),_safeParseAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?
+Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);return result instanceof Promise&&(result=await result),result.issues.length?{success:!1,error:new _Err(result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}:{success:!0,data:result.value}},safeParseAsync$1=_safeParseAsync($ZodRealError),_encode=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _parse(_Err)(schema,value,ctx)},_decode=_Err=>(schema,value,_ctx)=>_parse(
+_Err)(schema,value,_ctx),_encodeAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _parseAsync(_Err)(schema,value,ctx)},_decodeAsync=_Err=>async(schema,value,_ctx)=>_parseAsync(_Err)(schema,value,_ctx),_safeEncode=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _safeParse(_Err)(schema,value,ctx)},_safeDecode=_Err=>(schema,value,_ctx)=>_safeParse(_Err)(schema,
+value,_ctx),_safeEncodeAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _safeParseAsync(_Err)(schema,value,ctx)},_safeDecodeAsync=_Err=>async(schema,value,_ctx)=>_safeParseAsync(_Err)(schema,value,_ctx),cuid=/^[cC][^\s-]{8,}$/,cuid2=/^[0-9a-z]+$/,ulid=/^[0-9A-HJKMNP-TV-Za-hjkmnp-tv-z]{26}$/,xid=/^[0-9a-vA-V]{20}$/,ksuid=/^[A-Za-z0-9]{27}$/,nanoid=/^[a-zA-Z0-9_-]{21}$/,duration$1=/^P(?:(\d+W)|(?!.*W)(?=\d|T\d)(\d+Y)?(\d+M)?(\d+D)?(T(?=\d)(\d+H)?(\d+M)?(\d+([.,]\d+)?S)?)?)$/,
+guid=/^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})$/,uuid=version2=>version2?new RegExp(`^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-${version2}[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$`):/^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$/,email=/^(?!\.)(?!.*\.\.)([A-Za-z0-9_'+\-\.]*)[A-Za-z0-9_+-]@([A-Za-z0-9][A-Za-z0-9\-]*\.)+[A-Za-z]{2,}$/,_emoji$1="\
+^(\\p{Extended_Pictographic}|\\p{Emoji_Component})+$";function emoji(){return new RegExp(_emoji$1,"u")}const ipv4=/^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/,ipv6=/^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$/,
+cidrv4=/^((25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\/([0-9]|[1-2][0-9]|3[0-2])$/,cidrv6=/^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|::|([0-9a-fA-F]{1,4})?::([0-9a-fA-F]{1,4}:?){0,6})\/(12[0-8]|1[01][0-9]|[1-9]?[0-9])$/,base64=/^$|^(?:[0-9a-zA-Z+/]{4})*(?:(?:[0-9a-zA-Z+/]{2}==)|(?:[0-9a-zA-Z+/]{3}=))?$/,base64url=/^[A-Za-z0-9_-]*$/,e164=/^\+(?:[0-9]){6,14}[0-9]$/,dateSource="(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]\
+00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))",date$1=new RegExp(`^${dateSource}$`);function timeSource(args){const hhmm="(?:[01]\\d|2[0-3]):[0-5]\\d";return typeof args.precision=="number"?args.precision===-1?`${hhmm}`:args.precision===0?`${hhmm}:[0-5]\\d`:`${hhmm}:[0-5]\\d\\.\\d{${args.precision}}`:`${hhmm}(?::[0-5]\\d(?:\\.\\d+)?)?`}function time$1(args){return new RegExp(`^${timeSource(args)}$`)}
+function datetime$1(args){const time2=timeSource({precision:args.precision}),opts=["Z"];args.local&&opts.push(""),args.offset&&opts.push("([+-](?:[01]\\d|2[0-3]):[0-5]\\d)");const timeRegex=`${time2}(?:${opts.join("|")})`;return new RegExp(`^${dateSource}T(?:${timeRegex})$`)}const string$3=params=>{const regex=params?`[\\s\\S]{${params?.minimum??0},${params?.maximum??""}}`:"[\\s\\S]*";return new RegExp(`^${regex}$`)},integer=/^-?\d+$/,number$3=/^-?\d+(?:\.\d+)?/,boolean$2=/^(?:true|false)$/i,_null$2=/^null$/i,
+lowercase=/^[^A-Z]*$/,uppercase$1=/^[^a-z]*$/,$ZodCheck=$constructor("$ZodCheck",(inst,def)=>{var _a2;inst._zod??(inst._zod={}),inst._zod.def=def,(_a2=inst._zod).onattach??(_a2.onattach=[])}),numericOriginMap={number:"number",bigint:"bigint",object:"date"},$ZodCheckLessThan=$constructor("$ZodCheckLessThan",(inst,def)=>{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.maximum:bag.exclusiveMaximum)??
+Number.POSITIVE_INFINITY;def.value<curr&&(def.inclusive?bag.maximum=def.value:bag.exclusiveMaximum=def.value)}),inst._zod.check=payload=>{(def.inclusive?payload.value<=def.value:payload.value<def.value)||payload.issues.push({origin:origin2,code:"too_big",maximum:def.value,input:payload.value,inclusive:def.inclusive,inst,continue:!def.abort})}}),$ZodCheckGreaterThan=$constructor("$ZodCheckGreaterThan",(inst,def)=>{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.
+onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.minimum:bag.exclusiveMinimum)??Number.NEGATIVE_INFINITY;def.value>curr&&(def.inclusive?bag.minimum=def.value:bag.exclusiveMinimum=def.value)}),inst._zod.check=payload=>{(def.inclusive?payload.value>=def.value:payload.value>def.value)||payload.issues.push({origin:origin2,code:"too_small",minimum:def.value,input:payload.value,inclusive:def.inclusive,inst,continue:!def.abort})}}),$ZodCheckMultipleOf=$constructor("$ZodCheckMultip\
+leOf",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{var _a2;(_a2=inst2._zod.bag).multipleOf??(_a2.multipleOf=def.value)}),inst._zod.check=payload=>{if(typeof payload.value!=typeof def.value)throw new Error("Cannot mix number and bigint in multiple_of check.");(typeof payload.value=="bigint"?payload.value%def.value===BigInt(0):floatSafeRemainder(payload.value,def.value)===0)||payload.issues.push({origin:typeof payload.value,code:"not_multiple_of",divisor:def.value,input:payload.
+value,inst,continue:!def.abort})}}),$ZodCheckNumberFormat=$constructor("$ZodCheckNumberFormat",(inst,def)=>{$ZodCheck.init(inst,def),def.format=def.format||"float64";const isInt=def.format?.includes("int"),origin2=isInt?"int":"number",[minimum,maximum]=NUMBER_FORMAT_RANGES[def.format];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,bag.minimum=minimum,bag.maximum=maximum,isInt&&(bag.pattern=integer)}),inst._zod.check=payload=>{const input=payload.value;if(isInt){if(!Number.
+isInteger(input)){payload.issues.push({expected:origin2,format:def.format,code:"invalid_type",continue:!1,input,inst});return}if(!Number.isSafeInteger(input)){input>0?payload.issues.push({input,code:"too_big",maximum:Number.MAX_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.abort}):payload.issues.push({input,code:"too_small",minimum:Number.MIN_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.
+abort});return}}input<minimum&&payload.issues.push({origin:"number",input,code:"too_small",minimum,inclusive:!0,inst,continue:!def.abort}),input>maximum&&payload.issues.push({origin:"number",input,code:"too_big",maximum,inst})}}),$ZodCheckMaxLength=$constructor("$ZodCheckMaxLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.
+maximum??Number.POSITIVE_INFINITY;def.maximum<curr&&(inst2._zod.bag.maximum=def.maximum)}),inst._zod.check=payload=>{const input=payload.value;if(input.length<=def.maximum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_big",maximum:def.maximum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckMinLength=$constructor("$ZodCheckMinLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.
+value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.minimum??Number.NEGATIVE_INFINITY;def.minimum>curr&&(inst2._zod.bag.minimum=def.minimum)}),inst._zod.check=payload=>{const input=payload.value;if(input.length>=def.minimum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_small",minimum:def.minimum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckLengthEquals=$constructor("$ZodCheckLength\
+Equals",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.minimum=def.length,bag.maximum=def.length,bag.length=def.length}),inst._zod.check=payload=>{const input=payload.value,length=input.length;if(length===def.length)return;const origin2=getLengthableOrigin(input),tooBig=length>def.length;payload.issues.push({origin:origin2,...tooBig?
+{code:"too_big",maximum:def.length}:{code:"too_small",minimum:def.length},inclusive:!0,exact:!0,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckStringFormat=$constructor("$ZodCheckStringFormat",(inst,def)=>{var _a2,_b;$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,def.pattern&&(bag.patterns??(bag.patterns=new Set),bag.patterns.add(def.pattern))}),def.pattern?(_a2=inst._zod).check??(_a2.check=payload=>{def.pattern.lastIndex=0,!def.
+pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:def.format,input:payload.value,...def.pattern?{pattern:def.pattern.toString()}:{},inst,continue:!def.abort})}):(_b=inst._zod).check??(_b.check=()=>{})}),$ZodCheckRegex=$constructor("$ZodCheckRegex",(inst,def)=>{$ZodCheckStringFormat.init(inst,def),inst._zod.check=payload=>{def.pattern.lastIndex=0,!def.pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:"regex",
+input:payload.value,pattern:def.pattern.toString(),inst,continue:!def.abort})}}),$ZodCheckLowerCase=$constructor("$ZodCheckLowerCase",(inst,def)=>{def.pattern??(def.pattern=lowercase),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckUpperCase=$constructor("$ZodCheckUpperCase",(inst,def)=>{def.pattern??(def.pattern=uppercase$1),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckIncludes=$constructor("$ZodCheckIncludes",(inst,def)=>{$ZodCheck.init(inst,def);const escapedRegex=escapeRegex(def.includes),
+pattern2=new RegExp(typeof def.position=="number"?`^.{${def.position}}${escapedRegex}`:escapedRegex);def.pattern=pattern2,inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.includes(def.includes,def.position)||payload.issues.push({origin:"string",code:"invalid_format",format:"includes",includes:def.includes,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckStartsWith=$constructor(
+"$ZodCheckStartsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`^${escapeRegex(def.prefix)}.*`);def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.startsWith(def.prefix)||payload.issues.push({origin:"string",code:"invalid_format",format:"starts_with",prefix:def.prefix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckEndsWith=$constructor(
+"$ZodCheckEndsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`.*${escapeRegex(def.suffix)}$`);def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.endsWith(def.suffix)||payload.issues.push({origin:"string",code:"invalid_format",format:"ends_with",suffix:def.suffix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckOverwrite=$constructor(
+"$ZodCheckOverwrite",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.check=payload=>{payload.value=def.tx(payload.value)}});class Doc{constructor(args=[]){this.content=[],this.indent=0,this&&(this.args=args)}indented(fn){this.indent+=1,fn(this),this.indent-=1}write(arg){if(typeof arg=="function"){arg(this,{execution:"sync"}),arg(this,{execution:"async"});return}const lines=arg.split(`
+`).filter(x=>x),minIndent=Math.min(...lines.map(x=>x.length-x.trimStart().length)),dedented=lines.map(x=>x.slice(minIndent)).map(x=>" ".repeat(this.indent*2)+x);for(const line of dedented)this.content.push(line)}compile(){const F=Function,args=this?.args,lines=[...(this?.content??[""]).map(x=>`  ${x}`)];return new F(...args,lines.join(`
+`))}}const version$2={major:4,minor:2,patch:1},$ZodType=$constructor("$ZodType",(inst,def)=>{var _a2;inst??(inst={}),inst._zod.def=def,inst._zod.bag=inst._zod.bag||{},inst._zod.version=version$2;const checks2=[...inst._zod.def.checks??[]];inst._zod.traits.has("$ZodCheck")&&checks2.unshift(inst);for(const ch of checks2)for(const fn of ch._zod.onattach)fn(inst);if(checks2.length===0)(_a2=inst._zod).deferred??(_a2.deferred=[]),inst._zod.deferred?.push(()=>{inst._zod.run=inst._zod.parse});else{const runChecks=(payload,checks3,ctx)=>{
+let isAborted=aborted(payload),asyncResult;for(const ch of checks3){if(ch._zod.def.when){if(!ch._zod.def.when(payload))continue}else if(isAborted)continue;const currLen=payload.issues.length,_=ch._zod.check(payload);if(_ instanceof Promise&&ctx?.async===!1)throw new $ZodAsyncError;if(asyncResult||_ instanceof Promise)asyncResult=(asyncResult??Promise.resolve()).then(async()=>{await _,payload.issues.length!==currLen&&(isAborted||(isAborted=aborted(payload,currLen)))});else{if(payload.issues.length===
+currLen)continue;isAborted||(isAborted=aborted(payload,currLen))}}return asyncResult?asyncResult.then(()=>payload):payload},handleCanaryResult=(canary,payload,ctx)=>{if(aborted(canary))return canary.aborted=!0,canary;const checkResult=runChecks(payload,checks2,ctx);if(checkResult instanceof Promise){if(ctx.async===!1)throw new $ZodAsyncError;return checkResult.then(checkResult2=>inst._zod.parse(checkResult2,ctx))}return inst._zod.parse(checkResult,ctx)};inst._zod.run=(payload,ctx)=>{if(ctx.skipChecks)
+return inst._zod.parse(payload,ctx);if(ctx.direction==="backward"){const canary=inst._zod.parse({value:payload.value,issues:[]},{...ctx,skipChecks:!0});return canary instanceof Promise?canary.then(canary2=>handleCanaryResult(canary2,payload,ctx)):handleCanaryResult(canary,payload,ctx)}const result=inst._zod.parse(payload,ctx);if(result instanceof Promise){if(ctx.async===!1)throw new $ZodAsyncError;return result.then(result2=>runChecks(result2,checks2,ctx))}return runChecks(result,checks2,ctx)}}inst["\
+~standard"]={validate:value=>{try{const r2=safeParse$2(inst,value);return r2.success?{value:r2.data}:{issues:r2.error?.issues}}catch{return safeParseAsync$1(inst,value).then(r2=>r2.success?{value:r2.data}:{issues:r2.error?.issues})}},vendor:"zod",version:1}}),$ZodString=$constructor("$ZodString",(inst,def)=>{$ZodType.init(inst,def),inst._zod.pattern=[...inst?._zod.bag?.patterns??[]].pop()??string$3(inst._zod.bag),inst._zod.parse=(payload,_)=>{if(def.coerce)try{payload.value=String(payload.value)}catch{}
+return typeof payload.value=="string"||payload.issues.push({expected:"string",code:"invalid_type",input:payload.value,inst}),payload}}),$ZodStringFormat=$constructor("$ZodStringFormat",(inst,def)=>{$ZodCheckStringFormat.init(inst,def),$ZodString.init(inst,def)}),$ZodGUID=$constructor("$ZodGUID",(inst,def)=>{def.pattern??(def.pattern=guid),$ZodStringFormat.init(inst,def)}),$ZodUUID=$constructor("$ZodUUID",(inst,def)=>{if(def.version){const v={v1:1,v2:2,v3:3,v4:4,v5:5,v6:6,v7:7,v8:8}[def.version];
+if(v===void 0)throw new Error(`Invalid UUID version: "${def.version}"`);def.pattern??(def.pattern=uuid(v))}else def.pattern??(def.pattern=uuid());$ZodStringFormat.init(inst,def)}),$ZodEmail=$constructor("$ZodEmail",(inst,def)=>{def.pattern??(def.pattern=email),$ZodStringFormat.init(inst,def)}),$ZodURL=$constructor("$ZodURL",(inst,def)=>{$ZodStringFormat.init(inst,def),inst._zod.check=payload=>{try{const trimmed=payload.value.trim(),url2=new URL(trimmed);def.hostname&&(def.hostname.lastIndex=0,def.
+hostname.test(url2.hostname)||payload.issues.push({code:"invalid_format",format:"url",note:"Invalid hostname",pattern:def.hostname.source,input:payload.value,inst,continue:!def.abort})),def.protocol&&(def.protocol.lastIndex=0,def.protocol.test(url2.protocol.endsWith(":")?url2.protocol.slice(0,-1):url2.protocol)||payload.issues.push({code:"invalid_format",format:"url",note:"Invalid protocol",pattern:def.protocol.source,input:payload.value,inst,continue:!def.abort})),def.normalize?payload.value=url2.
+href:payload.value=trimmed;return}catch{payload.issues.push({code:"invalid_format",format:"url",input:payload.value,inst,continue:!def.abort})}}}),$ZodEmoji=$constructor("$ZodEmoji",(inst,def)=>{def.pattern??(def.pattern=emoji()),$ZodStringFormat.init(inst,def)}),$ZodNanoID=$constructor("$ZodNanoID",(inst,def)=>{def.pattern??(def.pattern=nanoid),$ZodStringFormat.init(inst,def)}),$ZodCUID=$constructor("$ZodCUID",(inst,def)=>{def.pattern??(def.pattern=cuid),$ZodStringFormat.init(inst,def)}),$ZodCUID2=$constructor(
+"$ZodCUID2",(inst,def)=>{def.pattern??(def.pattern=cuid2),$ZodStringFormat.init(inst,def)}),$ZodULID=$constructor("$ZodULID",(inst,def)=>{def.pattern??(def.pattern=ulid),$ZodStringFormat.init(inst,def)}),$ZodXID=$constructor("$ZodXID",(inst,def)=>{def.pattern??(def.pattern=xid),$ZodStringFormat.init(inst,def)}),$ZodKSUID=$constructor("$ZodKSUID",(inst,def)=>{def.pattern??(def.pattern=ksuid),$ZodStringFormat.init(inst,def)}),$ZodISODateTime=$constructor("$ZodISODateTime",(inst,def)=>{def.pattern??
+(def.pattern=datetime$1(def)),$ZodStringFormat.init(inst,def)}),$ZodISODate=$constructor("$ZodISODate",(inst,def)=>{def.pattern??(def.pattern=date$1),$ZodStringFormat.init(inst,def)}),$ZodISOTime=$constructor("$ZodISOTime",(inst,def)=>{def.pattern??(def.pattern=time$1(def)),$ZodStringFormat.init(inst,def)}),$ZodISODuration=$constructor("$ZodISODuration",(inst,def)=>{def.pattern??(def.pattern=duration$1),$ZodStringFormat.init(inst,def)}),$ZodIPv4=$constructor("$ZodIPv4",(inst,def)=>{def.pattern??
+(def.pattern=ipv4),$ZodStringFormat.init(inst,def),inst._zod.bag.format="ipv4"}),$ZodIPv6=$constructor("$ZodIPv6",(inst,def)=>{def.pattern??(def.pattern=ipv6),$ZodStringFormat.init(inst,def),inst._zod.bag.format="ipv6",inst._zod.check=payload=>{try{new URL(`http://[${payload.value}]`)}catch{payload.issues.push({code:"invalid_format",format:"ipv6",input:payload.value,inst,continue:!def.abort})}}}),$ZodCIDRv4=$constructor("$ZodCIDRv4",(inst,def)=>{def.pattern??(def.pattern=cidrv4),$ZodStringFormat.
+init(inst,def)}),$ZodCIDRv6=$constructor("$ZodCIDRv6",(inst,def)=>{def.pattern??(def.pattern=cidrv6),$ZodStringFormat.init(inst,def),inst._zod.check=payload=>{const parts=payload.value.split("/");try{if(parts.length!==2)throw new Error;const[address,prefix]=parts;if(!prefix)throw new Error;const prefixNum=Number(prefix);if(`${prefixNum}`!==prefix)throw new Error;if(prefixNum<0||prefixNum>128)throw new Error;new URL(`http://[${address}]`)}catch{payload.issues.push({code:"invalid_format",format:"c\
+idrv6",input:payload.value,inst,continue:!def.abort})}}});function isValidBase64(data){if(data==="")return!0;if(data.length%4!==0)return!1;try{return atob(data),!0}catch{return!1}}const $ZodBase64=$constructor("$ZodBase64",(inst,def)=>{def.pattern??(def.pattern=base64),$ZodStringFormat.init(inst,def),inst._zod.bag.contentEncoding="base64",inst._zod.check=payload=>{isValidBase64(payload.value)||payload.issues.push({code:"invalid_format",format:"base64",input:payload.value,inst,continue:!def.abort})}});
+function isValidBase64URL(data){if(!base64url.test(data))return!1;const base642=data.replace(/[-_]/g,c2=>c2==="-"?"+":"/"),padded=base642.padEnd(Math.ceil(base642.length/4)*4,"=");return isValidBase64(padded)}const $ZodBase64URL=$constructor("$ZodBase64URL",(inst,def)=>{def.pattern??(def.pattern=base64url),$ZodStringFormat.init(inst,def),inst._zod.bag.contentEncoding="base64url",inst._zod.check=payload=>{isValidBase64URL(payload.value)||payload.issues.push({code:"invalid_format",format:"base64ur\
+l",input:payload.value,inst,continue:!def.abort})}}),$ZodE164=$constructor("$ZodE164",(inst,def)=>{def.pattern??(def.pattern=e164),$ZodStringFormat.init(inst,def)});function isValidJWT(token2,algorithm=null){try{const tokensParts=token2.split(".");if(tokensParts.length!==3)return!1;const[header]=tokensParts;if(!header)return!1;const parsedHeader=JSON.parse(atob(header));return!("typ"in parsedHeader&&parsedHeader?.typ!=="JWT"||!parsedHeader.alg||algorithm&&(!("alg"in parsedHeader)||parsedHeader.alg!==
+algorithm))}catch{return!1}}const $ZodJWT=$constructor("$ZodJWT",(inst,def)=>{$ZodStringFormat.init(inst,def),inst._zod.check=payload=>{isValidJWT(payload.value,def.alg)||payload.issues.push({code:"invalid_format",format:"jwt",input:payload.value,inst,continue:!def.abort})}}),$ZodNumber=$constructor("$ZodNumber",(inst,def)=>{$ZodType.init(inst,def),inst._zod.pattern=inst._zod.bag.pattern??number$3,inst._zod.parse=(payload,_ctx)=>{if(def.coerce)try{payload.value=Number(payload.value)}catch{}const input=payload.
+value;if(typeof input=="number"&&!Number.isNaN(input)&&Number.isFinite(input))return payload;const received=typeof input=="number"?Number.isNaN(input)?"NaN":Number.isFinite(input)?void 0:"Infinity":void 0;return payload.issues.push({expected:"number",code:"invalid_type",input,inst,...received?{received}:{}}),payload}}),$ZodNumberFormat=$constructor("$ZodNumberFormat",(inst,def)=>{$ZodCheckNumberFormat.init(inst,def),$ZodNumber.init(inst,def)}),$ZodBoolean=$constructor("$ZodBoolean",(inst,def)=>{
+$ZodType.init(inst,def),inst._zod.pattern=boolean$2,inst._zod.parse=(payload,_ctx)=>{if(def.coerce)try{payload.value=!!payload.value}catch{}const input=payload.value;return typeof input=="boolean"||payload.issues.push({expected:"boolean",code:"invalid_type",input,inst}),payload}}),$ZodNull=$constructor("$ZodNull",(inst,def)=>{$ZodType.init(inst,def),inst._zod.pattern=_null$2,inst._zod.values=new Set([null]),inst._zod.parse=(payload,_ctx)=>{const input=payload.value;return input===null||payload.issues.
+push({expected:"null",code:"invalid_type",input,inst}),payload}}),$ZodAny=$constructor("$ZodAny",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=payload=>payload}),$ZodUnknown=$constructor("$ZodUnknown",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=payload=>payload}),$ZodNever=$constructor("$ZodNever",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,_ctx)=>(payload.issues.push({expected:"never",code:"invalid_type",input:payload.value,inst}),payload)});function handleArrayResult(result,final,index2){
+result.issues.length&&final.issues.push(...prefixIssues(index2,result.issues)),final.value[index2]=result.value}const $ZodArray=$constructor("$ZodArray",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{const input=payload.value;if(!Array.isArray(input))return payload.issues.push({expected:"array",code:"invalid_type",input,inst}),payload;payload.value=Array(input.length);const proms=[];for(let i=0;i<input.length;i++){const item=input[i],result=def.element._zod.run({value:item,
+issues:[]},ctx);result instanceof Promise?proms.push(result.then(result2=>handleArrayResult(result2,payload,i))):handleArrayResult(result,payload,i)}return proms.length?Promise.all(proms).then(()=>payload):payload}});function handlePropertyResult(result,final,key2,input){result.issues.length&&final.issues.push(...prefixIssues(key2,result.issues)),result.value===void 0?key2 in input&&(final.value[key2]=void 0):final.value[key2]=result.value}function normalizeDef(def){const keys2=Object.keys(def.shape);
+for(const k of keys2)if(!def.shape?.[k]?._zod?.traits?.has("$ZodType"))throw new Error(`Invalid element at key "${k}": expected a Zod schema`);const okeys=optionalKeys(def.shape);return{...def,keys:keys2,keySet:new Set(keys2),numKeys:keys2.length,optionalKeys:new Set(okeys)}}function handleCatchall(proms,input,payload,ctx,def,inst){const unrecognized=[],keySet=def.keySet,_catchall=def.catchall._zod,t=_catchall.def.type;for(const key2 in input){if(keySet.has(key2))continue;if(t==="never"){unrecognized.
+push(key2);continue}const r2=_catchall.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)}return unrecognized.length&&payload.issues.push({code:"unrecognized_keys",keys:unrecognized,input,inst}),proms.length?Promise.all(proms).then(()=>payload):payload}const $ZodObject=$constructor("$ZodObject",(inst,def)=>{if($ZodType.init(inst,def),!Object.getOwnPropertyDescriptor(def,"sha\
+pe")?.get){const sh=def.shape;Object.defineProperty(def,"shape",{get:()=>{const newSh={...sh};return Object.defineProperty(def,"shape",{value:newSh}),newSh}})}const _normalized=cached(()=>normalizeDef(def));defineLazy(inst._zod,"propValues",()=>{const shape=def.shape,propValues={};for(const key2 in shape){const field=shape[key2]._zod;if(field.values){propValues[key2]??(propValues[key2]=new Set);for(const v of field.values)propValues[key2].add(v)}}return propValues});const isObject2=isObject$1,catchall=def.
+catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;if(!isObject2(input))return payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload;payload.value={};const proms=[],shape=value.shape;for(const key2 of value.keys){const r2=shape[key2]._zod.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)}return catchall?
+handleCatchall(proms,input,payload,ctx,_normalized.value,inst):proms.length?Promise.all(proms).then(()=>payload):payload}}),$ZodObjectJIT=$constructor("$ZodObjectJIT",(inst,def)=>{$ZodObject.init(inst,def);const superParse=inst._zod.parse,_normalized=cached(()=>normalizeDef(def)),generateFastpass=shape=>{const doc=new Doc(["shape","payload","ctx"]),normalized=_normalized.value,parseStr=key2=>{const k=esc(key2);return`shape[${k}]._zod.run({ value: input[${k}], issues: [] }, ctx)`};doc.write("cons\
+t input = payload.value;");const ids=Object.create(null);let counter=0;for(const key2 of normalized.keys)ids[key2]=`key_${counter++}`;doc.write("const newResult = {};");for(const key2 of normalized.keys){const id2=ids[key2],k=esc(key2);doc.write(`const ${id2} = ${parseStr(key2)};`),doc.write(`
+        if (${id2}.issues.length) {
+          payload.issues = payload.issues.concat(${id2}.issues.map(iss => ({
+            ...iss,
+            path: iss.path ? [${k}, ...iss.path] : [${k}]
+          })));
+        }
+        
+        
+        if (${id2}.value === undefined) {
+          if (${k} in input) {
+            newResult[${k}] = undefined;
+          }
+        } else {
+          newResult[${k}] = ${id2}.value;
+        }
+        
+      `)}doc.write("payload.value = newResult;"),doc.write("return payload;");const fn=doc.compile();return(payload,ctx)=>fn(shape,payload,ctx)};let fastpass;const isObject2=isObject$1,jit=!globalConfig.jitless,fastEnabled=jit&&allowsEval.value,catchall=def.catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;return isObject2(input)?jit&&fastEnabled&&ctx?.async===!1&&ctx.jitless!==!0?(fastpass||(fastpass=generateFastpass(def.shape)),payload=
+fastpass(payload,ctx),catchall?handleCatchall([],input,payload,ctx,value,inst):payload):superParse(payload,ctx):(payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload)}});function handleUnionResults(results,final,inst,ctx){for(const result of results)if(result.issues.length===0)return final.value=result.value,final;const nonaborted=results.filter(r2=>!aborted(r2));return nonaborted.length===1?(final.value=nonaborted[0].value,nonaborted[0]):(final.issues.push({code:"inva\
+lid_union",input:final.value,inst,errors:results.map(result=>result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}),final)}const $ZodUnion=$constructor("$ZodUnion",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.options.some(o=>o._zod.optin==="optional")?"optional":void 0),defineLazy(inst._zod,"optout",()=>def.options.some(o=>o._zod.optout==="optional")?"optional":void 0),defineLazy(inst._zod,"values",()=>{if(def.options.every(o=>o._zod.values))return new Set(def.options.
+flatMap(option2=>Array.from(option2._zod.values)))}),defineLazy(inst._zod,"pattern",()=>{if(def.options.every(o=>o._zod.pattern)){const patterns=def.options.map(o=>o._zod.pattern);return new RegExp(`^(${patterns.map(p2=>cleanRegex(p2.source)).join("|")})$`)}});const single=def.options.length===1,first=def.options[0]._zod.run;inst._zod.parse=(payload,ctx)=>{if(single)return first(payload,ctx);let async=!1;const results=[];for(const option2 of def.options){const result=option2._zod.run({value:payload.
+value,issues:[]},ctx);if(result instanceof Promise)results.push(result),async=!0;else{if(result.issues.length===0)return result;results.push(result)}}return async?Promise.all(results).then(results2=>handleUnionResults(results2,payload,inst,ctx)):handleUnionResults(results,payload,inst,ctx)}}),$ZodDiscriminatedUnion=$constructor("$ZodDiscriminatedUnion",(inst,def)=>{def.inclusive=!1,$ZodUnion.init(inst,def);const _super=inst._zod.parse;defineLazy(inst._zod,"propValues",()=>{const propValues={};for(const option2 of def.
+options){const pv=option2._zod.propValues;if(!pv||Object.keys(pv).length===0)throw new Error(`Invalid discriminated union option at index "${def.options.indexOf(option2)}"`);for(const[k,v]of Object.entries(pv)){propValues[k]||(propValues[k]=new Set);for(const val of v)propValues[k].add(val)}}return propValues});const disc=cached(()=>{const opts=def.options,map2=new Map;for(const o of opts){const values=o._zod.propValues?.[def.discriminator];if(!values||values.size===0)throw new Error(`Invalid di\
+scriminated union option at index "${def.options.indexOf(o)}"`);for(const v of values){if(map2.has(v))throw new Error(`Duplicate discriminator value "${String(v)}"`);map2.set(v,o)}}return map2});inst._zod.parse=(payload,ctx)=>{const input=payload.value;if(!isObject$1(input))return payload.issues.push({code:"invalid_type",expected:"object",input,inst}),payload;const opt=disc.value.get(input?.[def.discriminator]);return opt?opt._zod.run(payload,ctx):def.unionFallback?_super(payload,ctx):(payload.issues.
+push({code:"invalid_union",errors:[],note:"No matching discriminator",discriminator:def.discriminator,input,path:[def.discriminator],inst}),payload)}}),$ZodIntersection=$constructor("$ZodIntersection",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{const input=payload.value,left=def.left._zod.run({value:input,issues:[]},ctx),right=def.right._zod.run({value:input,issues:[]},ctx);return left instanceof Promise||right instanceof Promise?Promise.all([left,right]).then(([left2,right2])=>handleIntersectionResults(
+payload,left2,right2)):handleIntersectionResults(payload,left,right)}});function mergeValues(a,b){if(a===b)return{valid:!0,data:a};if(a instanceof Date&&b instanceof Date&&+a==+b)return{valid:!0,data:a};if(isPlainObject$2(a)&&isPlainObject$2(b)){const bKeys=Object.keys(b),sharedKeys=Object.keys(a).filter(key2=>bKeys.indexOf(key2)!==-1),newObj={...a,...b};for(const key2 of sharedKeys){const sharedValue=mergeValues(a[key2],b[key2]);if(!sharedValue.valid)return{valid:!1,mergeErrorPath:[key2,...sharedValue.
+mergeErrorPath]};newObj[key2]=sharedValue.data}return{valid:!0,data:newObj}}if(Array.isArray(a)&&Array.isArray(b)){if(a.length!==b.length)return{valid:!1,mergeErrorPath:[]};const newArray=[];for(let index2=0;index2<a.length;index2++){const itemA=a[index2],itemB=b[index2],sharedValue=mergeValues(itemA,itemB);if(!sharedValue.valid)return{valid:!1,mergeErrorPath:[index2,...sharedValue.mergeErrorPath]};newArray.push(sharedValue.data)}return{valid:!0,data:newArray}}return{valid:!1,mergeErrorPath:[]}}
+function handleIntersectionResults(result,left,right){if(left.issues.length&&result.issues.push(...left.issues),right.issues.length&&result.issues.push(...right.issues),aborted(result))return result;const merged=mergeValues(left.value,right.value);if(!merged.valid)throw new Error(`Unmergable intersection. Error path: ${JSON.stringify(merged.mergeErrorPath)}`);return result.value=merged.data,result}const $ZodRecord=$constructor("$ZodRecord",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{
+const input=payload.value;if(!isPlainObject$2(input))return payload.issues.push({expected:"record",code:"invalid_type",input,inst}),payload;const proms=[],values=def.keyType._zod.values;if(values){payload.value={};const recordKeys=new Set;for(const key2 of values)if(typeof key2=="string"||typeof key2=="number"||typeof key2=="symbol"){recordKeys.add(typeof key2=="number"?key2.toString():key2);const result=def.valueType._zod.run({value:input[key2],issues:[]},ctx);result instanceof Promise?proms.push(
+result.then(result2=>{result2.issues.length&&payload.issues.push(...prefixIssues(key2,result2.issues)),payload.value[key2]=result2.value})):(result.issues.length&&payload.issues.push(...prefixIssues(key2,result.issues)),payload.value[key2]=result.value)}let unrecognized;for(const key2 in input)recordKeys.has(key2)||(unrecognized=unrecognized??[],unrecognized.push(key2));unrecognized&&unrecognized.length>0&&payload.issues.push({code:"unrecognized_keys",input,inst,keys:unrecognized})}else{payload.
+value={};for(const key2 of Reflect.ownKeys(input)){if(key2==="__proto__")continue;const keyResult=def.keyType._zod.run({value:key2,issues:[]},ctx);if(keyResult instanceof Promise)throw new Error("Async schemas not supported in object keys currently");if(keyResult.issues.length){def.mode==="loose"?payload.value[key2]=input[key2]:payload.issues.push({code:"invalid_key",origin:"record",issues:keyResult.issues.map(iss=>finalizeIssue(iss,ctx,config())),input:key2,path:[key2],inst});continue}const result=def.
+valueType._zod.run({value:input[key2],issues:[]},ctx);result instanceof Promise?proms.push(result.then(result2=>{result2.issues.length&&payload.issues.push(...prefixIssues(key2,result2.issues)),payload.value[keyResult.value]=result2.value})):(result.issues.length&&payload.issues.push(...prefixIssues(key2,result.issues)),payload.value[keyResult.value]=result.value)}}return proms.length?Promise.all(proms).then(()=>payload):payload}}),$ZodEnum=$constructor("$ZodEnum",(inst,def)=>{$ZodType.init(inst,
+def);const values=getEnumValues(def.entries),valuesSet=new Set(values);inst._zod.values=valuesSet,inst._zod.pattern=new RegExp(`^(${values.filter(k=>propertyKeyTypes.has(typeof k)).map(o=>typeof o=="string"?escapeRegex(o):o.toString()).join("|")})$`),inst._zod.parse=(payload,_ctx)=>{const input=payload.value;return valuesSet.has(input)||payload.issues.push({code:"invalid_value",values,input,inst}),payload}}),$ZodLiteral=$constructor("$ZodLiteral",(inst,def)=>{if($ZodType.init(inst,def),def.values.
+length===0)throw new Error("Cannot create literal schema with no valid values");const values=new Set(def.values);inst._zod.values=values,inst._zod.pattern=new RegExp(`^(${def.values.map(o=>typeof o=="string"?escapeRegex(o):o?escapeRegex(o.toString()):String(o)).join("|")})$`),inst._zod.parse=(payload,_ctx)=>{const input=payload.value;return values.has(input)||payload.issues.push({code:"invalid_value",values:def.values,input,inst}),payload}}),$ZodTransform=$constructor("$ZodTransform",(inst,def)=>{
+$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward")throw new $ZodEncodeError(inst.constructor.name);const _out=def.transform(payload.value,payload);if(ctx.async)return(_out instanceof Promise?_out:Promise.resolve(_out)).then(output2=>(payload.value=output2,payload));if(_out instanceof Promise)throw new $ZodAsyncError;return payload.value=_out,payload}});function handleOptionalResult(result,input){return result.issues.length&&input===void 0?{issues:[],value:void 0}:
+result}const $ZodOptional=$constructor("$ZodOptional",(inst,def)=>{$ZodType.init(inst,def),inst._zod.optin="optional",inst._zod.optout="optional",defineLazy(inst._zod,"values",()=>def.innerType._zod.values?new Set([...def.innerType._zod.values,void 0]):void 0),defineLazy(inst._zod,"pattern",()=>{const pattern2=def.innerType._zod.pattern;return pattern2?new RegExp(`^(${cleanRegex(pattern2.source)})?$`):void 0}),inst._zod.parse=(payload,ctx)=>{if(def.innerType._zod.optin==="optional"){const result=def.
+innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(r2=>handleOptionalResult(r2,payload.value)):handleOptionalResult(result,payload.value)}return payload.value===void 0?payload:def.innerType._zod.run(payload,ctx)}}),$ZodNullable=$constructor("$ZodNullable",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.innerType._zod.optin),defineLazy(inst._zod,"optout",()=>def.innerType._zod.optout),defineLazy(inst._zod,"pattern",()=>{const pattern2=def.innerType.
+_zod.pattern;return pattern2?new RegExp(`^(${cleanRegex(pattern2.source)}|null)$`):void 0}),defineLazy(inst._zod,"values",()=>def.innerType._zod.values?new Set([...def.innerType._zod.values,null]):void 0),inst._zod.parse=(payload,ctx)=>payload.value===null?payload:def.innerType._zod.run(payload,ctx)}),$ZodDefault=$constructor("$ZodDefault",(inst,def)=>{$ZodType.init(inst,def),inst._zod.optin="optional",defineLazy(inst._zod,"values",()=>def.innerType._zod.values),inst._zod.parse=(payload,ctx)=>{if(ctx.
+direction==="backward")return def.innerType._zod.run(payload,ctx);if(payload.value===void 0)return payload.value=def.defaultValue,payload;const result=def.innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(result2=>handleDefaultResult(result2,def)):handleDefaultResult(result,def)}});function handleDefaultResult(payload,def){return payload.value===void 0&&(payload.value=def.defaultValue),payload}const $ZodPrefault=$constructor("$ZodPrefault",(inst,def)=>{$ZodType.init(inst,
+def),inst._zod.optin="optional",defineLazy(inst._zod,"values",()=>def.innerType._zod.values),inst._zod.parse=(payload,ctx)=>(ctx.direction==="backward"||payload.value===void 0&&(payload.value=def.defaultValue),def.innerType._zod.run(payload,ctx))}),$ZodNonOptional=$constructor("$ZodNonOptional",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"values",()=>{const v=def.innerType._zod.values;return v?new Set([...v].filter(x=>x!==void 0)):void 0}),inst._zod.parse=(payload,ctx)=>{const result=def.
+innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(result2=>handleNonOptionalResult(result2,inst)):handleNonOptionalResult(result,inst)}});function handleNonOptionalResult(payload,inst){return!payload.issues.length&&payload.value===void 0&&payload.issues.push({code:"invalid_type",expected:"nonoptional",input:payload.value,inst}),payload}const $ZodCatch=$constructor("$ZodCatch",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.innerType._zod.optin),
+defineLazy(inst._zod,"optout",()=>def.innerType._zod.optout),defineLazy(inst._zod,"values",()=>def.innerType._zod.values),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward")return def.innerType._zod.run(payload,ctx);const result=def.innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(result2=>(payload.value=result2.value,result2.issues.length&&(payload.value=def.catchValue({...payload,error:{issues:result2.issues.map(iss=>finalizeIssue(iss,ctx,config()))},input:payload.
+value}),payload.issues=[]),payload)):(payload.value=result.value,result.issues.length&&(payload.value=def.catchValue({...payload,error:{issues:result.issues.map(iss=>finalizeIssue(iss,ctx,config()))},input:payload.value}),payload.issues=[]),payload)}}),$ZodPipe=$constructor("$ZodPipe",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"values",()=>def.in._zod.values),defineLazy(inst._zod,"optin",()=>def.in._zod.optin),defineLazy(inst._zod,"optout",()=>def.out._zod.optout),defineLazy(inst.
+_zod,"propValues",()=>def.in._zod.propValues),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward"){const right=def.out._zod.run(payload,ctx);return right instanceof Promise?right.then(right2=>handlePipeResult(right2,def.in,ctx)):handlePipeResult(right,def.in,ctx)}const left=def.in._zod.run(payload,ctx);return left instanceof Promise?left.then(left2=>handlePipeResult(left2,def.out,ctx)):handlePipeResult(left,def.out,ctx)}});function handlePipeResult(left,next2,ctx){return left.issues.length?
+(left.aborted=!0,left):next2._zod.run({value:left.value,issues:left.issues},ctx)}const $ZodReadonly=$constructor("$ZodReadonly",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"propValues",()=>def.innerType._zod.propValues),defineLazy(inst._zod,"values",()=>def.innerType._zod.values),defineLazy(inst._zod,"optin",()=>def.innerType?._zod?.optin),defineLazy(inst._zod,"optout",()=>def.innerType?._zod?.optout),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward")return def.innerType.
+_zod.run(payload,ctx);const result=def.innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(handleReadonlyResult):handleReadonlyResult(result)}});function handleReadonlyResult(payload){return payload.value=Object.freeze(payload.value),payload}const $ZodCustom=$constructor("$ZodCustom",(inst,def)=>{$ZodCheck.init(inst,def),$ZodType.init(inst,def),inst._zod.parse=(payload,_)=>payload,inst._zod.check=payload=>{const input=payload.value,r2=def.fn(input);if(r2 instanceof Promise)
+return r2.then(r3=>handleRefineResult(r3,payload,input,inst));handleRefineResult(r2,payload,input,inst)}});function handleRefineResult(result,payload,input,inst){if(!result){const _iss={code:"custom",input,inst,path:[...inst._zod.def.path??[]],continue:!inst._zod.def.abort};inst._zod.def.params&&(_iss.params=inst._zod.def.params),payload.issues.push(issue(_iss))}}var _a;class $ZodRegistry{constructor(){this._map=new WeakMap,this._idmap=new Map}add(schema,..._meta){const meta=_meta[0];if(this._map.
+set(schema,meta),meta&&typeof meta=="object"&&"id"in meta){if(this._idmap.has(meta.id))throw new Error(`ID ${meta.id} already exists in the registry`);this._idmap.set(meta.id,schema)}return this}clear(){return this._map=new WeakMap,this._idmap=new Map,this}remove(schema){const meta=this._map.get(schema);return meta&&typeof meta=="object"&&"id"in meta&&this._idmap.delete(meta.id),this._map.delete(schema),this}get(schema){const p2=schema._zod.parent;if(p2){const pm={...this.get(p2)??{}};delete pm.
+id;const f={...pm,...this._map.get(schema)};return Object.keys(f).length?f:void 0}return this._map.get(schema)}has(schema){return this._map.has(schema)}}function registry(){return new $ZodRegistry}(_a=globalThis).__zod_globalRegistry??(_a.__zod_globalRegistry=registry());const globalRegistry=globalThis.__zod_globalRegistry;function _string(Class,params){return new Class({type:"string",...normalizeParams(params)})}function _email(Class,params){return new Class({type:"string",format:"email",check:"\
+string_format",abort:!1,...normalizeParams(params)})}function _guid(Class,params){return new Class({type:"string",format:"guid",check:"string_format",abort:!1,...normalizeParams(params)})}function _uuid(Class,params){return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,...normalizeParams(params)})}function _uuidv4(Class,params){return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,version:"v4",...normalizeParams(params)})}function _uuidv6(Class,params){
+return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,version:"v6",...normalizeParams(params)})}function _uuidv7(Class,params){return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,version:"v7",...normalizeParams(params)})}function _url$1(Class,params){return new Class({type:"string",format:"url",check:"string_format",abort:!1,...normalizeParams(params)})}function _emoji(Class,params){return new Class({type:"string",format:"emoji",check:"string_forma\
+t",abort:!1,...normalizeParams(params)})}function _nanoid(Class,params){return new Class({type:"string",format:"nanoid",check:"string_format",abort:!1,...normalizeParams(params)})}function _cuid(Class,params){return new Class({type:"string",format:"cuid",check:"string_format",abort:!1,...normalizeParams(params)})}function _cuid2(Class,params){return new Class({type:"string",format:"cuid2",check:"string_format",abort:!1,...normalizeParams(params)})}function _ulid(Class,params){return new Class({type:"\
+string",format:"ulid",check:"string_format",abort:!1,...normalizeParams(params)})}function _xid(Class,params){return new Class({type:"string",format:"xid",check:"string_format",abort:!1,...normalizeParams(params)})}function _ksuid(Class,params){return new Class({type:"string",format:"ksuid",check:"string_format",abort:!1,...normalizeParams(params)})}function _ipv4(Class,params){return new Class({type:"string",format:"ipv4",check:"string_format",abort:!1,...normalizeParams(params)})}function _ipv6(Class,params){
+return new Class({type:"string",format:"ipv6",check:"string_format",abort:!1,...normalizeParams(params)})}function _cidrv4(Class,params){return new Class({type:"string",format:"cidrv4",check:"string_format",abort:!1,...normalizeParams(params)})}function _cidrv6(Class,params){return new Class({type:"string",format:"cidrv6",check:"string_format",abort:!1,...normalizeParams(params)})}function _base64(Class,params){return new Class({type:"string",format:"base64",check:"string_format",abort:!1,...normalizeParams(
+params)})}function _base64url(Class,params){return new Class({type:"string",format:"base64url",check:"string_format",abort:!1,...normalizeParams(params)})}function _e164(Class,params){return new Class({type:"string",format:"e164",check:"string_format",abort:!1,...normalizeParams(params)})}function _jwt(Class,params){return new Class({type:"string",format:"jwt",check:"string_format",abort:!1,...normalizeParams(params)})}function _isoDateTime(Class,params){return new Class({type:"string",format:"d\
+atetime",check:"string_format",offset:!1,local:!1,precision:null,...normalizeParams(params)})}function _isoDate(Class,params){return new Class({type:"string",format:"date",check:"string_format",...normalizeParams(params)})}function _isoTime(Class,params){return new Class({type:"string",format:"time",check:"string_format",precision:null,...normalizeParams(params)})}function _isoDuration(Class,params){return new Class({type:"string",format:"duration",check:"string_format",...normalizeParams(params)})}
+function _number(Class,params){return new Class({type:"number",checks:[],...normalizeParams(params)})}function _coercedNumber(Class,params){return new Class({type:"number",coerce:!0,checks:[],...normalizeParams(params)})}function _int(Class,params){return new Class({type:"number",check:"number_format",abort:!1,format:"safeint",...normalizeParams(params)})}function _boolean(Class,params){return new Class({type:"boolean",...normalizeParams(params)})}function _null$1(Class,params){return new Class(
+{type:"null",...normalizeParams(params)})}function _any(Class){return new Class({type:"any"})}function _unknown(Class){return new Class({type:"unknown"})}function _never(Class,params){return new Class({type:"never",...normalizeParams(params)})}function _lt(value,params){return new $ZodCheckLessThan({check:"less_than",...normalizeParams(params),value,inclusive:!1})}function _lte(value,params){return new $ZodCheckLessThan({check:"less_than",...normalizeParams(params),value,inclusive:!0})}function _gt(value,params){
+return new $ZodCheckGreaterThan({check:"greater_than",...normalizeParams(params),value,inclusive:!1})}function _gte(value,params){return new $ZodCheckGreaterThan({check:"greater_than",...normalizeParams(params),value,inclusive:!0})}function _multipleOf(value,params){return new $ZodCheckMultipleOf({check:"multiple_of",...normalizeParams(params),value})}function _maxLength(maximum,params){return new $ZodCheckMaxLength({check:"max_length",...normalizeParams(params),maximum})}function _minLength(minimum,params){
+return new $ZodCheckMinLength({check:"min_length",...normalizeParams(params),minimum})}function _length(length,params){return new $ZodCheckLengthEquals({check:"length_equals",...normalizeParams(params),length})}function _regex(pattern2,params){return new $ZodCheckRegex({check:"string_format",format:"regex",...normalizeParams(params),pattern:pattern2})}function _lowercase(params){return new $ZodCheckLowerCase({check:"string_format",format:"lowercase",...normalizeParams(params)})}function _uppercase(params){
+return new $ZodCheckUpperCase({check:"string_format",format:"uppercase",...normalizeParams(params)})}function _includes(includes2,params){return new $ZodCheckIncludes({check:"string_format",format:"includes",...normalizeParams(params),includes:includes2})}function _startsWith(prefix,params){return new $ZodCheckStartsWith({check:"string_format",format:"starts_with",...normalizeParams(params),prefix})}function _endsWith(suffix,params){return new $ZodCheckEndsWith({check:"string_format",format:"end\
+s_with",...normalizeParams(params),suffix})}function _overwrite(tx){return new $ZodCheckOverwrite({check:"overwrite",tx})}function _normalize(form){return _overwrite(input=>input.normalize(form))}function _trim(){return _overwrite(input=>input.trim())}function _toLowerCase(){return _overwrite(input=>input.toLowerCase())}function _toUpperCase(){return _overwrite(input=>input.toUpperCase())}function _slugify(){return _overwrite(input=>slugify(input))}function _array(Class,element2,params){return new Class(
+{type:"array",element:element2,...normalizeParams(params)})}function _custom(Class,fn,_params){const norm=normalizeParams(_params);return norm.abort??(norm.abort=!0),new Class({type:"custom",check:"custom",fn,...norm})}function _refine(Class,fn,_params){return new Class({type:"custom",check:"custom",fn,...normalizeParams(_params)})}function _superRefine(fn){const ch=_check(payload=>(payload.addIssue=issue$1=>{if(typeof issue$1=="string")payload.issues.push(issue(issue$1,payload.value,ch._zod.def));else{
+const _issue=issue$1;_issue.fatal&&(_issue.continue=!1),_issue.code??(_issue.code="custom"),_issue.input??(_issue.input=payload.value),_issue.inst??(_issue.inst=ch),_issue.continue??(_issue.continue=!ch._zod.def.abort),payload.issues.push(issue(_issue))}},fn(payload.value,payload)));return ch}function _check(fn,params){const ch=new $ZodCheck({check:"custom",...normalizeParams(params)});return ch._zod.check=fn,ch}function initializeContext(params){let target2=params?.target??"draft-2020-12";return target2===
+"draft-4"&&(target2="draft-04"),target2==="draft-7"&&(target2="draft-07"),{processors:params.processors??{},metadataRegistry:params?.metadata??globalRegistry,target:target2,unrepresentable:params?.unrepresentable??"throw",override:params?.override??(()=>{}),io:params?.io??"output",counter:0,seen:new Map,cycles:params?.cycles??"ref",reused:params?.reused??"inline",external:params?.external??void 0}}function process$1(schema,ctx,_params={path:[],schemaPath:[]}){var _a2;const def=schema._zod.def,seen2=ctx.
+seen.get(schema);if(seen2)return seen2.count++,_params.schemaPath.includes(schema)&&(seen2.cycle=_params.path),seen2.schema;const result={schema:{},count:1,cycle:void 0,path:_params.path};ctx.seen.set(schema,result);const overrideSchema=schema._zod.toJSONSchema?.();if(overrideSchema)result.schema=overrideSchema;else{const params={..._params,schemaPath:[..._params.schemaPath,schema],path:_params.path},parent=schema._zod.parent;if(parent)result.ref=parent,process$1(parent,ctx,params),ctx.seen.get(
+parent).isParent=!0;else if(schema._zod.processJSONSchema)schema._zod.processJSONSchema(ctx,result.schema,params);else{const _json=result.schema,processor=ctx.processors[def.type];if(!processor)throw new Error(`[toJSONSchema]: Non-representable type encountered: ${def.type}`);processor(schema,ctx,_json,params)}}const meta=ctx.metadataRegistry.get(schema);return meta&&Object.assign(result.schema,meta),ctx.io==="input"&&isTransforming(schema)&&(delete result.schema.examples,delete result.schema.default),
+ctx.io==="input"&&result.schema._prefault&&((_a2=result.schema).default??(_a2.default=result.schema._prefault)),delete result.schema._prefault,ctx.seen.get(schema).schema}function extractDefs(ctx,schema){const root2=ctx.seen.get(schema);if(!root2)throw new Error("Unprocessed schema. This is a bug in Zod.");const makeURI=entry=>{const defsSegment=ctx.target==="draft-2020-12"?"$defs":"definitions";if(ctx.external){const externalId=ctx.external.registry.get(entry[0])?.id,uriGenerator=ctx.external.uri??
+(id3=>id3);if(externalId)return{ref:uriGenerator(externalId)};const id2=entry[1].defId??entry[1].schema.id??`schema${ctx.counter++}`;return entry[1].defId=id2,{defId:id2,ref:`${uriGenerator("__shared")}#/${defsSegment}/${id2}`}}if(entry[1]===root2)return{ref:"#"};const defUriPrefix=`#/${defsSegment}/`,defId=entry[1].schema.id??`__schema${ctx.counter++}`;return{defId,ref:defUriPrefix+defId}},extractToDef=entry=>{if(entry[1].schema.$ref)return;const seen2=entry[1],{ref:ref2,defId}=makeURI(entry);seen2.
+def={...seen2.schema},defId&&(seen2.defId=defId);const schema2=seen2.schema;for(const key2 in schema2)delete schema2[key2];schema2.$ref=ref2};if(ctx.cycles==="throw")for(const entry of ctx.seen.entries()){const seen2=entry[1];if(seen2.cycle)throw new Error(`Cycle detected: #/${seen2.cycle?.join("/")}/<root>
+
+Set the \`cycles\` parameter to \`"ref"\` to resolve cyclical schemas with defs.`)}for(const entry of ctx.seen.entries()){const seen2=entry[1];if(schema===entry[0]){extractToDef(entry);continue}if(ctx.external){const ext=ctx.external.registry.get(entry[0])?.id;if(schema!==entry[0]&&ext){extractToDef(entry);continue}}if(ctx.metadataRegistry.get(entry[0])?.id){extractToDef(entry);continue}if(seen2.cycle){extractToDef(entry);continue}if(seen2.count>1&&ctx.reused==="ref"){extractToDef(entry);continue}}}
+function finalize(ctx,schema){const root2=ctx.seen.get(schema);if(!root2)throw new Error("Unprocessed schema. This is a bug in Zod.");const flattenRef=zodSchema=>{const seen2=ctx.seen.get(zodSchema),schema2=seen2.def??seen2.schema,_cached={...schema2};if(seen2.ref===null)return;const ref2=seen2.ref;if(seen2.ref=null,ref2){flattenRef(ref2);const refSchema=ctx.seen.get(ref2).schema;refSchema.$ref&&(ctx.target==="draft-07"||ctx.target==="draft-04"||ctx.target==="openapi-3.0")?(schema2.allOf=schema2.
+allOf??[],schema2.allOf.push(refSchema)):(Object.assign(schema2,refSchema),Object.assign(schema2,_cached))}seen2.isParent||ctx.override({zodSchema,jsonSchema:schema2,path:seen2.path??[]})};for(const entry of[...ctx.seen.entries()].reverse())flattenRef(entry[0]);const result={};if(ctx.target==="draft-2020-12"?result.$schema="https://json-schema.org/draft/2020-12/schema":ctx.target==="draft-07"?result.$schema="http://json-schema.org/draft-07/schema#":ctx.target==="draft-04"?result.$schema="http://\
+json-schema.org/draft-04/schema#":ctx.target,ctx.external?.uri){const id2=ctx.external.registry.get(schema)?.id;if(!id2)throw new Error("Schema is missing an `id` property");result.$id=ctx.external.uri(id2)}Object.assign(result,root2.def??root2.schema);const defs=ctx.external?.defs??{};for(const entry of ctx.seen.entries()){const seen2=entry[1];seen2.def&&seen2.defId&&(defs[seen2.defId]=seen2.def)}ctx.external||Object.keys(defs).length>0&&(ctx.target==="draft-2020-12"?result.$defs=defs:result.definitions=
+defs);try{const finalized=JSON.parse(JSON.stringify(result));return Object.defineProperty(finalized,"~standard",{value:{...schema["~standard"],jsonSchema:{input:createStandardJSONSchemaMethod(schema,"input"),output:createStandardJSONSchemaMethod(schema,"output")}},enumerable:!1,writable:!1}),finalized}catch{throw new Error("Error converting schema to JSON.")}}function isTransforming(_schema,_ctx){const ctx=_ctx??{seen:new Set};if(ctx.seen.has(_schema))return!1;ctx.seen.add(_schema);const def=_schema.
+_zod.def;if(def.type==="transform")return!0;if(def.type==="array")return isTransforming(def.element,ctx);if(def.type==="set")return isTransforming(def.valueType,ctx);if(def.type==="lazy")return isTransforming(def.getter(),ctx);if(def.type==="promise"||def.type==="optional"||def.type==="nonoptional"||def.type==="nullable"||def.type==="readonly"||def.type==="default"||def.type==="prefault")return isTransforming(def.innerType,ctx);if(def.type==="intersection")return isTransforming(def.left,ctx)||isTransforming(
+def.right,ctx);if(def.type==="record"||def.type==="map")return isTransforming(def.keyType,ctx)||isTransforming(def.valueType,ctx);if(def.type==="pipe")return isTransforming(def.in,ctx)||isTransforming(def.out,ctx);if(def.type==="object"){for(const key2 in def.shape)if(isTransforming(def.shape[key2],ctx))return!0;return!1}if(def.type==="union"){for(const option2 of def.options)if(isTransforming(option2,ctx))return!0;return!1}if(def.type==="tuple"){for(const item of def.items)if(isTransforming(item,
+ctx))return!0;return!!(def.rest&&isTransforming(def.rest,ctx))}return!1}const createToJSONSchemaMethod=(schema,processors={})=>params=>{const ctx=initializeContext({...params,processors});return process$1(schema,ctx),extractDefs(ctx,schema),finalize(ctx,schema)},createStandardJSONSchemaMethod=(schema,io)=>params=>{const{libraryOptions,target:target2}=params??{},ctx=initializeContext({...libraryOptions??{},target:target2,io,processors:{}});return process$1(schema,ctx),extractDefs(ctx,schema),finalize(
+ctx,schema)},formatMap={guid:"uuid",url:"uri",datetime:"date-time",json_string:"json-string",regex:""},stringProcessor=(schema,ctx,_json,_params)=>{const json2=_json;json2.type="string";const{minimum,maximum,format:format2,patterns,contentEncoding}=schema._zod.bag;if(typeof minimum=="number"&&(json2.minLength=minimum),typeof maximum=="number"&&(json2.maxLength=maximum),format2&&(json2.format=formatMap[format2]??format2,json2.format===""&&delete json2.format),contentEncoding&&(json2.contentEncoding=
+contentEncoding),patterns&&patterns.size>0){const regexes=[...patterns];regexes.length===1?json2.pattern=regexes[0].source:regexes.length>1&&(json2.allOf=[...regexes.map(regex=>({...ctx.target==="draft-07"||ctx.target==="draft-04"||ctx.target==="openapi-3.0"?{type:"string"}:{},pattern:regex.source}))])}},numberProcessor=(schema,ctx,_json,_params)=>{const json2=_json,{minimum,maximum,format:format2,multipleOf:multipleOf2,exclusiveMaximum,exclusiveMinimum}=schema._zod.bag;typeof format2=="string"&&
+format2.includes("int")?json2.type="integer":json2.type="number",typeof exclusiveMinimum=="number"&&(ctx.target==="draft-04"||ctx.target==="openapi-3.0"?(json2.minimum=exclusiveMinimum,json2.exclusiveMinimum=!0):json2.exclusiveMinimum=exclusiveMinimum),typeof minimum=="number"&&(json2.minimum=minimum,typeof exclusiveMinimum=="number"&&ctx.target!=="draft-04"&&(exclusiveMinimum>=minimum?delete json2.minimum:delete json2.exclusiveMinimum)),typeof exclusiveMaximum=="number"&&(ctx.target==="draft-04"||
+ctx.target==="openapi-3.0"?(json2.maximum=exclusiveMaximum,json2.exclusiveMaximum=!0):json2.exclusiveMaximum=exclusiveMaximum),typeof maximum=="number"&&(json2.maximum=maximum,typeof exclusiveMaximum=="number"&&ctx.target!=="draft-04"&&(exclusiveMaximum<=maximum?delete json2.maximum:delete json2.exclusiveMaximum)),typeof multipleOf2=="number"&&(json2.multipleOf=multipleOf2)},booleanProcessor=(_schema,_ctx,json2,_params)=>{json2.type="boolean"},nullProcessor=(_schema,ctx,json2,_params)=>{ctx.target===
+"openapi-3.0"?(json2.type="string",json2.nullable=!0,json2.enum=[null]):json2.type="null"},neverProcessor=(_schema,_ctx,json2,_params)=>{json2.not={}},anyProcessor=(_schema,_ctx,_json,_params)=>{},unknownProcessor=(_schema,_ctx,_json,_params)=>{},enumProcessor=(schema,_ctx,json2,_params)=>{const def=schema._zod.def,values=getEnumValues(def.entries);values.every(v=>typeof v=="number")&&(json2.type="number"),values.every(v=>typeof v=="string")&&(json2.type="string"),json2.enum=values},literalProcessor=(schema,ctx,json2,_params)=>{
+const def=schema._zod.def,vals=[];for(const val of def.values)if(val===void 0){if(ctx.unrepresentable==="throw")throw new Error("Literal `undefined` cannot be represented in JSON Schema")}else if(typeof val=="bigint"){if(ctx.unrepresentable==="throw")throw new Error("BigInt literals cannot be represented in JSON Schema");vals.push(Number(val))}else vals.push(val);if(vals.length!==0)if(vals.length===1){const val=vals[0];json2.type=val===null?"null":typeof val,ctx.target==="draft-04"||ctx.target===
+"openapi-3.0"?json2.enum=[val]:json2.const=val}else vals.every(v=>typeof v=="number")&&(json2.type="number"),vals.every(v=>typeof v=="string")&&(json2.type="string"),vals.every(v=>typeof v=="boolean")&&(json2.type="boolean"),vals.every(v=>v===null)&&(json2.type="null"),json2.enum=vals},customProcessor=(_schema,ctx,_json,_params)=>{if(ctx.unrepresentable==="throw")throw new Error("Custom types cannot be represented in JSON Schema")},transformProcessor=(_schema,ctx,_json,_params)=>{if(ctx.unrepresentable===
+"throw")throw new Error("Transforms cannot be represented in JSON Schema")},arrayProcessor=(schema,ctx,_json,params)=>{const json2=_json,def=schema._zod.def,{minimum,maximum}=schema._zod.bag;typeof minimum=="number"&&(json2.minItems=minimum),typeof maximum=="number"&&(json2.maxItems=maximum),json2.type="array",json2.items=process$1(def.element,ctx,{...params,path:[...params.path,"items"]})},objectProcessor=(schema,ctx,_json,params)=>{const json2=_json,def=schema._zod.def;json2.type="object",json2.
+properties={};const shape=def.shape;for(const key2 in shape)json2.properties[key2]=process$1(shape[key2],ctx,{...params,path:[...params.path,"properties",key2]});const allKeys=new Set(Object.keys(shape)),requiredKeys=new Set([...allKeys].filter(key2=>{const v=def.shape[key2]._zod;return ctx.io==="input"?v.optin===void 0:v.optout===void 0}));requiredKeys.size>0&&(json2.required=Array.from(requiredKeys)),def.catchall?._zod.def.type==="never"?json2.additionalProperties=!1:def.catchall?def.catchall&&
+(json2.additionalProperties=process$1(def.catchall,ctx,{...params,path:[...params.path,"additionalProperties"]})):ctx.io==="output"&&(json2.additionalProperties=!1)},unionProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def,isExclusive=def.inclusive===!1,options=def.options.map((x,i)=>process$1(x,ctx,{...params,path:[...params.path,isExclusive?"oneOf":"anyOf",i]}));isExclusive?json2.oneOf=options:json2.anyOf=options},intersectionProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.
+def,a=process$1(def.left,ctx,{...params,path:[...params.path,"allOf",0]}),b=process$1(def.right,ctx,{...params,path:[...params.path,"allOf",1]}),isSimpleIntersection=val=>"allOf"in val&&Object.keys(val).length===1,allOf2=[...isSimpleIntersection(a)?a.allOf:[a],...isSimpleIntersection(b)?b.allOf:[b]];json2.allOf=allOf2},recordProcessor=(schema,ctx,_json,params)=>{const json2=_json,def=schema._zod.def;json2.type="object",(ctx.target==="draft-07"||ctx.target==="draft-2020-12")&&(json2.propertyNames=
+process$1(def.keyType,ctx,{...params,path:[...params.path,"propertyNames"]})),json2.additionalProperties=process$1(def.valueType,ctx,{...params,path:[...params.path,"additionalProperties"]})},nullableProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def,inner2=process$1(def.innerType,ctx,params),seen2=ctx.seen.get(schema);ctx.target==="openapi-3.0"?(seen2.ref=def.innerType,json2.nullable=!0):json2.anyOf=[inner2,{type:"null"}]},nonoptionalProcessor=(schema,ctx,_json,params)=>{const def=schema.
+_zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType},defaultProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType,json2.default=JSON.parse(JSON.stringify(def.defaultValue))},prefaultProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType,ctx.io===
+"input"&&(json2._prefault=JSON.parse(JSON.stringify(def.defaultValue)))},catchProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType;let catchValue;try{catchValue=def.catchValue(void 0)}catch{throw new Error("Dynamic catch values are not supported in JSON Schema")}json2.default=catchValue},pipeProcessor=(schema,ctx,_json,params)=>{const def=schema._zod.def,innerType=ctx.io==="input"?def.in._zod.
+def.type==="transform"?def.out:def.in:def.out;process$1(innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=innerType},readonlyProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType,json2.readOnly=!0},optionalProcessor=(schema,ctx,_json,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType};function isZ4Schema(s2){
+return!!s2._zod}function safeParse$1(schema,data){return isZ4Schema(schema)?safeParse$2(schema,data):schema.safeParse(data)}function getObjectShape(schema){if(!schema)return;let rawShape;if(isZ4Schema(schema)?rawShape=schema._zod?.def?.shape:rawShape=schema.shape,!!rawShape){if(typeof rawShape=="function")try{return rawShape()}catch{return}return rawShape}}function getLiteralValue(schema){if(isZ4Schema(schema)){const def2=schema._zod?.def;if(def2){if(def2.value!==void 0)return def2.value;if(Array.
+isArray(def2.values)&&def2.values.length>0)return def2.values[0]}}const def=schema._def;if(def){if(def.value!==void 0)return def.value;if(Array.isArray(def.values)&&def.values.length>0)return def.values[0]}const directValue=schema.value;if(directValue!==void 0)return directValue}const ZodISODateTime=$constructor("ZodISODateTime",(inst,def)=>{$ZodISODateTime.init(inst,def),ZodStringFormat.init(inst,def)});function datetime(params){return _isoDateTime(ZodISODateTime,params)}const ZodISODate=$constructor(
+"ZodISODate",(inst,def)=>{$ZodISODate.init(inst,def),ZodStringFormat.init(inst,def)});function date(params){return _isoDate(ZodISODate,params)}const ZodISOTime=$constructor("ZodISOTime",(inst,def)=>{$ZodISOTime.init(inst,def),ZodStringFormat.init(inst,def)});function time(params){return _isoTime(ZodISOTime,params)}const ZodISODuration=$constructor("ZodISODuration",(inst,def)=>{$ZodISODuration.init(inst,def),ZodStringFormat.init(inst,def)});function duration(params){return _isoDuration(ZodISODuration,
+params)}const initializer=(inst,issues)=>{$ZodError.init(inst,issues),inst.name="ZodError",Object.defineProperties(inst,{format:{value:mapper=>formatError(inst,mapper)},flatten:{value:mapper=>flattenError$1(inst,mapper)},addIssue:{value:issue2=>{inst.issues.push(issue2),inst.message=JSON.stringify(inst.issues,jsonStringifyReplacer,2)}},addIssues:{value:issues2=>{inst.issues.push(...issues2),inst.message=JSON.stringify(inst.issues,jsonStringifyReplacer,2)}},isEmpty:{get(){return inst.issues.length===
+0}}})},ZodRealError=$constructor("ZodError",initializer,{Parent:Error}),parse$3=_parse(ZodRealError),parseAsync=_parseAsync(ZodRealError),safeParse=_safeParse(ZodRealError),safeParseAsync=_safeParseAsync(ZodRealError),encode=_encode(ZodRealError),decode$1=_decode(ZodRealError),encodeAsync=_encodeAsync(ZodRealError),decodeAsync=_decodeAsync(ZodRealError),safeEncode=_safeEncode(ZodRealError),safeDecode=_safeDecode(ZodRealError),safeEncodeAsync=_safeEncodeAsync(ZodRealError),safeDecodeAsync=_safeDecodeAsync(
+ZodRealError),ZodType=$constructor("ZodType",(inst,def)=>($ZodType.init(inst,def),Object.assign(inst["~standard"],{jsonSchema:{input:createStandardJSONSchemaMethod(inst,"input"),output:createStandardJSONSchemaMethod(inst,"output")}}),inst.toJSONSchema=createToJSONSchemaMethod(inst,{}),inst.def=def,inst.type=def.type,Object.defineProperty(inst,"_def",{value:def}),inst.check=(...checks2)=>inst.clone(mergeDefs(def,{checks:[...def.checks??[],...checks2.map(ch=>typeof ch=="function"?{_zod:{check:ch,def:{
+check:"custom"},onattach:[]}}:ch)]})),inst.clone=(def2,params)=>clone(inst,def2,params),inst.brand=()=>inst,inst.register=(reg,meta)=>(reg.add(inst,meta),inst),inst.parse=(data,params)=>parse$3(inst,data,params,{callee:inst.parse}),inst.safeParse=(data,params)=>safeParse(inst,data,params),inst.parseAsync=async(data,params)=>parseAsync(inst,data,params,{callee:inst.parseAsync}),inst.safeParseAsync=async(data,params)=>safeParseAsync(inst,data,params),inst.spa=inst.safeParseAsync,inst.encode=(data,params)=>encode(
+inst,data,params),inst.decode=(data,params)=>decode$1(inst,data,params),inst.encodeAsync=async(data,params)=>encodeAsync(inst,data,params),inst.decodeAsync=async(data,params)=>decodeAsync(inst,data,params),inst.safeEncode=(data,params)=>safeEncode(inst,data,params),inst.safeDecode=(data,params)=>safeDecode(inst,data,params),inst.safeEncodeAsync=async(data,params)=>safeEncodeAsync(inst,data,params),inst.safeDecodeAsync=async(data,params)=>safeDecodeAsync(inst,data,params),inst.refine=(check,params)=>inst.
+check(refine(check,params)),inst.superRefine=refinement=>inst.check(superRefine(refinement)),inst.overwrite=fn=>inst.check(_overwrite(fn)),inst.optional=()=>optional(inst),inst.nullable=()=>nullable(inst),inst.nullish=()=>optional(nullable(inst)),inst.nonoptional=params=>nonoptional(inst,params),inst.array=()=>array(inst),inst.or=arg=>union([inst,arg]),inst.and=arg=>intersection(inst,arg),inst.transform=tx=>pipe(inst,transform$1(tx)),inst.default=def2=>_default(inst,def2),inst.prefault=def2=>prefault(
+inst,def2),inst.catch=params=>_catch(inst,params),inst.pipe=target2=>pipe(inst,target2),inst.readonly=()=>readonly(inst),inst.describe=description2=>{const cl=inst.clone();return globalRegistry.add(cl,{description:description2}),cl},Object.defineProperty(inst,"description",{get(){return globalRegistry.get(inst)?.description},configurable:!0}),inst.meta=(...args)=>{if(args.length===0)return globalRegistry.get(inst);const cl=inst.clone();return globalRegistry.add(cl,args[0]),cl},inst.isOptional=()=>inst.
+safeParse(void 0).success,inst.isNullable=()=>inst.safeParse(null).success,inst)),_ZodString=$constructor("_ZodString",(inst,def)=>{$ZodString.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>stringProcessor(inst,ctx,json2);const bag=inst._zod.bag;inst.format=bag.format??null,inst.minLength=bag.minimum??null,inst.maxLength=bag.maximum??null,inst.regex=(...args)=>inst.check(_regex(...args)),inst.includes=(...args)=>inst.check(_includes(...args)),inst.startsWith=
+(...args)=>inst.check(_startsWith(...args)),inst.endsWith=(...args)=>inst.check(_endsWith(...args)),inst.min=(...args)=>inst.check(_minLength(...args)),inst.max=(...args)=>inst.check(_maxLength(...args)),inst.length=(...args)=>inst.check(_length(...args)),inst.nonempty=(...args)=>inst.check(_minLength(1,...args)),inst.lowercase=params=>inst.check(_lowercase(params)),inst.uppercase=params=>inst.check(_uppercase(params)),inst.trim=()=>inst.check(_trim()),inst.normalize=(...args)=>inst.check(_normalize(
+...args)),inst.toLowerCase=()=>inst.check(_toLowerCase()),inst.toUpperCase=()=>inst.check(_toUpperCase()),inst.slugify=()=>inst.check(_slugify())}),ZodString=$constructor("ZodString",(inst,def)=>{$ZodString.init(inst,def),_ZodString.init(inst,def),inst.email=params=>inst.check(_email(ZodEmail,params)),inst.url=params=>inst.check(_url$1(ZodURL,params)),inst.jwt=params=>inst.check(_jwt(ZodJWT,params)),inst.emoji=params=>inst.check(_emoji(ZodEmoji,params)),inst.guid=params=>inst.check(_guid(ZodGUID,
+params)),inst.uuid=params=>inst.check(_uuid(ZodUUID,params)),inst.uuidv4=params=>inst.check(_uuidv4(ZodUUID,params)),inst.uuidv6=params=>inst.check(_uuidv6(ZodUUID,params)),inst.uuidv7=params=>inst.check(_uuidv7(ZodUUID,params)),inst.nanoid=params=>inst.check(_nanoid(ZodNanoID,params)),inst.guid=params=>inst.check(_guid(ZodGUID,params)),inst.cuid=params=>inst.check(_cuid(ZodCUID,params)),inst.cuid2=params=>inst.check(_cuid2(ZodCUID2,params)),inst.ulid=params=>inst.check(_ulid(ZodULID,params)),inst.
+base64=params=>inst.check(_base64(ZodBase64,params)),inst.base64url=params=>inst.check(_base64url(ZodBase64URL,params)),inst.xid=params=>inst.check(_xid(ZodXID,params)),inst.ksuid=params=>inst.check(_ksuid(ZodKSUID,params)),inst.ipv4=params=>inst.check(_ipv4(ZodIPv4,params)),inst.ipv6=params=>inst.check(_ipv6(ZodIPv6,params)),inst.cidrv4=params=>inst.check(_cidrv4(ZodCIDRv4,params)),inst.cidrv6=params=>inst.check(_cidrv6(ZodCIDRv6,params)),inst.e164=params=>inst.check(_e164(ZodE164,params)),inst.
+datetime=params=>inst.check(datetime(params)),inst.date=params=>inst.check(date(params)),inst.time=params=>inst.check(time(params)),inst.duration=params=>inst.check(duration(params))});function string$2(params){return _string(ZodString,params)}const ZodStringFormat=$constructor("ZodStringFormat",(inst,def)=>{$ZodStringFormat.init(inst,def),_ZodString.init(inst,def)}),ZodEmail=$constructor("ZodEmail",(inst,def)=>{$ZodEmail.init(inst,def),ZodStringFormat.init(inst,def)}),ZodGUID=$constructor("ZodG\
+UID",(inst,def)=>{$ZodGUID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodUUID=$constructor("ZodUUID",(inst,def)=>{$ZodUUID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodURL=$constructor("ZodURL",(inst,def)=>{$ZodURL.init(inst,def),ZodStringFormat.init(inst,def)});function url(params){return _url$1(ZodURL,params)}const ZodEmoji=$constructor("ZodEmoji",(inst,def)=>{$ZodEmoji.init(inst,def),ZodStringFormat.init(inst,def)}),ZodNanoID=$constructor("ZodNanoID",(inst,def)=>{$ZodNanoID.init(inst,
+def),ZodStringFormat.init(inst,def)}),ZodCUID=$constructor("ZodCUID",(inst,def)=>{$ZodCUID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodCUID2=$constructor("ZodCUID2",(inst,def)=>{$ZodCUID2.init(inst,def),ZodStringFormat.init(inst,def)}),ZodULID=$constructor("ZodULID",(inst,def)=>{$ZodULID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodXID=$constructor("ZodXID",(inst,def)=>{$ZodXID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodKSUID=$constructor("ZodKSUID",(inst,def)=>{$ZodKSUID.init(
+inst,def),ZodStringFormat.init(inst,def)}),ZodIPv4=$constructor("ZodIPv4",(inst,def)=>{$ZodIPv4.init(inst,def),ZodStringFormat.init(inst,def)}),ZodIPv6=$constructor("ZodIPv6",(inst,def)=>{$ZodIPv6.init(inst,def),ZodStringFormat.init(inst,def)}),ZodCIDRv4=$constructor("ZodCIDRv4",(inst,def)=>{$ZodCIDRv4.init(inst,def),ZodStringFormat.init(inst,def)}),ZodCIDRv6=$constructor("ZodCIDRv6",(inst,def)=>{$ZodCIDRv6.init(inst,def),ZodStringFormat.init(inst,def)}),ZodBase64=$constructor("ZodBase64",(inst,def)=>{
+$ZodBase64.init(inst,def),ZodStringFormat.init(inst,def)}),ZodBase64URL=$constructor("ZodBase64URL",(inst,def)=>{$ZodBase64URL.init(inst,def),ZodStringFormat.init(inst,def)}),ZodE164=$constructor("ZodE164",(inst,def)=>{$ZodE164.init(inst,def),ZodStringFormat.init(inst,def)}),ZodJWT=$constructor("ZodJWT",(inst,def)=>{$ZodJWT.init(inst,def),ZodStringFormat.init(inst,def)}),ZodNumber=$constructor("ZodNumber",(inst,def)=>{$ZodNumber.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>numberProcessor(
+inst,ctx,json2),inst.gt=(value,params)=>inst.check(_gt(value,params)),inst.gte=(value,params)=>inst.check(_gte(value,params)),inst.min=(value,params)=>inst.check(_gte(value,params)),inst.lt=(value,params)=>inst.check(_lt(value,params)),inst.lte=(value,params)=>inst.check(_lte(value,params)),inst.max=(value,params)=>inst.check(_lte(value,params)),inst.int=params=>inst.check(int(params)),inst.safe=params=>inst.check(int(params)),inst.positive=params=>inst.check(_gt(0,params)),inst.nonnegative=params=>inst.
+check(_gte(0,params)),inst.negative=params=>inst.check(_lt(0,params)),inst.nonpositive=params=>inst.check(_lte(0,params)),inst.multipleOf=(value,params)=>inst.check(_multipleOf(value,params)),inst.step=(value,params)=>inst.check(_multipleOf(value,params)),inst.finite=()=>inst;const bag=inst._zod.bag;inst.minValue=Math.max(bag.minimum??Number.NEGATIVE_INFINITY,bag.exclusiveMinimum??Number.NEGATIVE_INFINITY)??null,inst.maxValue=Math.min(bag.maximum??Number.POSITIVE_INFINITY,bag.exclusiveMaximum??Number.
+POSITIVE_INFINITY)??null,inst.isInt=(bag.format??"").includes("int")||Number.isSafeInteger(bag.multipleOf??.5),inst.isFinite=!0,inst.format=bag.format??null});function number$2(params){return _number(ZodNumber,params)}const ZodNumberFormat=$constructor("ZodNumberFormat",(inst,def)=>{$ZodNumberFormat.init(inst,def),ZodNumber.init(inst,def)});function int(params){return _int(ZodNumberFormat,params)}const ZodBoolean=$constructor("ZodBoolean",(inst,def)=>{$ZodBoolean.init(inst,def),ZodType.init(inst,
+def),inst._zod.processJSONSchema=(ctx,json2,params)=>booleanProcessor(inst,ctx,json2)});function boolean$1(params){return _boolean(ZodBoolean,params)}const ZodNull=$constructor("ZodNull",(inst,def)=>{$ZodNull.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>nullProcessor(inst,ctx,json2)});function _null(params){return _null$1(ZodNull,params)}const ZodAny=$constructor("ZodAny",(inst,def)=>{$ZodAny.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=
+(ctx,json2,params)=>anyProcessor()});function any(){return _any(ZodAny)}const ZodUnknown=$constructor("ZodUnknown",(inst,def)=>{$ZodUnknown.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>unknownProcessor()});function unknown$2(){return _unknown(ZodUnknown)}const ZodNever=$constructor("ZodNever",(inst,def)=>{$ZodNever.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>neverProcessor(inst,ctx,json2)});function never(params){
+return _never(ZodNever,params)}const ZodArray=$constructor("ZodArray",(inst,def)=>{$ZodArray.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>arrayProcessor(inst,ctx,json2,params),inst.element=def.element,inst.min=(minLength,params)=>inst.check(_minLength(minLength,params)),inst.nonempty=params=>inst.check(_minLength(1,params)),inst.max=(maxLength,params)=>inst.check(_maxLength(maxLength,params)),inst.length=(len,params)=>inst.check(_length(len,params)),inst.
+unwrap=()=>inst.element});function array(element2,params){return _array(ZodArray,element2,params)}const ZodObject=$constructor("ZodObject",(inst,def)=>{$ZodObjectJIT.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>objectProcessor(inst,ctx,json2,params),defineLazy(inst,"shape",()=>def.shape),inst.keyof=()=>_enum$2(Object.keys(inst._zod.def.shape)),inst.catchall=catchall=>inst.clone({...inst._zod.def,catchall}),inst.passthrough=()=>inst.clone({...inst._zod.def,
+catchall:unknown$2()}),inst.loose=()=>inst.clone({...inst._zod.def,catchall:unknown$2()}),inst.strict=()=>inst.clone({...inst._zod.def,catchall:never()}),inst.strip=()=>inst.clone({...inst._zod.def,catchall:void 0}),inst.extend=incoming=>extend$2(inst,incoming),inst.safeExtend=incoming=>safeExtend(inst,incoming),inst.merge=other=>merge$1(inst,other),inst.pick=mask=>pick(inst,mask),inst.omit=mask=>omit(inst,mask),inst.partial=(...args)=>partial(ZodOptional,inst,args[0]),inst.required=(...args)=>required$4(
+ZodNonOptional,inst,args[0])});function object(shape,params){const def={type:"object",shape:shape??{},...normalizeParams(params)};return new ZodObject(def)}function looseObject(shape,params){return new ZodObject({type:"object",shape,catchall:unknown$2(),...normalizeParams(params)})}const ZodUnion=$constructor("ZodUnion",(inst,def)=>{$ZodUnion.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>unionProcessor(inst,ctx,json2,params),inst.options=def.options});function union(options,params){
+return new ZodUnion({type:"union",options,...normalizeParams(params)})}const ZodDiscriminatedUnion=$constructor("ZodDiscriminatedUnion",(inst,def)=>{ZodUnion.init(inst,def),$ZodDiscriminatedUnion.init(inst,def)});function discriminatedUnion(discriminator2,options,params){return new ZodDiscriminatedUnion({type:"union",options,discriminator:discriminator2,...normalizeParams(params)})}const ZodIntersection=$constructor("ZodIntersection",(inst,def)=>{$ZodIntersection.init(inst,def),ZodType.init(inst,
+def),inst._zod.processJSONSchema=(ctx,json2,params)=>intersectionProcessor(inst,ctx,json2,params)});function intersection(left,right){return new ZodIntersection({type:"intersection",left,right})}const ZodRecord=$constructor("ZodRecord",(inst,def)=>{$ZodRecord.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>recordProcessor(inst,ctx,json2,params),inst.keyType=def.keyType,inst.valueType=def.valueType});function record(keyType,valueType,params){return new ZodRecord(
+{type:"record",keyType,valueType,...normalizeParams(params)})}const ZodEnum=$constructor("ZodEnum",(inst,def)=>{$ZodEnum.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>enumProcessor(inst,ctx,json2),inst.enum=def.entries,inst.options=Object.values(def.entries);const keys2=new Set(Object.keys(def.entries));inst.extract=(values,params)=>{const newEntries={};for(const value of values)if(keys2.has(value))newEntries[value]=def.entries[value];else throw new Error(
+`Key ${value} not found in enum`);return new ZodEnum({...def,checks:[],...normalizeParams(params),entries:newEntries})},inst.exclude=(values,params)=>{const newEntries={...def.entries};for(const value of values)if(keys2.has(value))delete newEntries[value];else throw new Error(`Key ${value} not found in enum`);return new ZodEnum({...def,checks:[],...normalizeParams(params),entries:newEntries})}});function _enum$2(values,params){const entries=Array.isArray(values)?Object.fromEntries(values.map(v=>[
+v,v])):values;return new ZodEnum({type:"enum",entries,...normalizeParams(params)})}const ZodLiteral=$constructor("ZodLiteral",(inst,def)=>{$ZodLiteral.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>literalProcessor(inst,ctx,json2),inst.values=new Set(def.values),Object.defineProperty(inst,"value",{get(){if(def.values.length>1)throw new Error("This schema contains multiple valid literal values. Use `.values` instead.");return def.values[0]}})});function literal(value,params){
+return new ZodLiteral({type:"literal",values:Array.isArray(value)?value:[value],...normalizeParams(params)})}const ZodTransform=$constructor("ZodTransform",(inst,def)=>{$ZodTransform.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>transformProcessor(inst,ctx),inst._zod.parse=(payload,_ctx)=>{if(_ctx.direction==="backward")throw new $ZodEncodeError(inst.constructor.name);payload.addIssue=issue$1=>{if(typeof issue$1=="string")payload.issues.push(issue(issue$1,
+payload.value,def));else{const _issue=issue$1;_issue.fatal&&(_issue.continue=!1),_issue.code??(_issue.code="custom"),_issue.input??(_issue.input=payload.value),_issue.inst??(_issue.inst=inst),payload.issues.push(issue(_issue))}};const output=def.transform(payload.value,payload);return output instanceof Promise?output.then(output2=>(payload.value=output2,payload)):(payload.value=output,payload)}});function transform$1(fn){return new ZodTransform({type:"transform",transform:fn})}const ZodOptional=$constructor(
+"ZodOptional",(inst,def)=>{$ZodOptional.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>optionalProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function optional(innerType){return new ZodOptional({type:"optional",innerType})}const ZodNullable=$constructor("ZodNullable",(inst,def)=>{$ZodNullable.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>nullableProcessor(inst,ctx,json2,params),inst.unwrap=
+()=>inst._zod.def.innerType});function nullable(innerType){return new ZodNullable({type:"nullable",innerType})}const ZodDefault=$constructor("ZodDefault",(inst,def)=>{$ZodDefault.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>defaultProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType,inst.removeDefault=inst.unwrap});function _default(innerType,defaultValue){return new ZodDefault({type:"default",innerType,get defaultValue(){return typeof defaultValue==
+"function"?defaultValue():shallowClone(defaultValue)}})}const ZodPrefault=$constructor("ZodPrefault",(inst,def)=>{$ZodPrefault.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>prefaultProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function prefault(innerType,defaultValue){return new ZodPrefault({type:"prefault",innerType,get defaultValue(){return typeof defaultValue=="function"?defaultValue():shallowClone(defaultValue)}})}const ZodNonOptional=$constructor(
+"ZodNonOptional",(inst,def)=>{$ZodNonOptional.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>nonoptionalProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function nonoptional(innerType,params){return new ZodNonOptional({type:"nonoptional",innerType,...normalizeParams(params)})}const ZodCatch=$constructor("ZodCatch",(inst,def)=>{$ZodCatch.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>catchProcessor(
+inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType,inst.removeCatch=inst.unwrap});function _catch(innerType,catchValue){return new ZodCatch({type:"catch",innerType,catchValue:typeof catchValue=="function"?catchValue:()=>catchValue})}const ZodPipe=$constructor("ZodPipe",(inst,def)=>{$ZodPipe.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>pipeProcessor(inst,ctx,json2,params),inst.in=def.in,inst.out=def.out});function pipe(in_,out){return new ZodPipe(
+{type:"pipe",in:in_,out})}const ZodReadonly=$constructor("ZodReadonly",(inst,def)=>{$ZodReadonly.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>readonlyProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function readonly(innerType){return new ZodReadonly({type:"readonly",innerType})}const ZodCustom=$constructor("ZodCustom",(inst,def)=>{$ZodCustom.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>customProcessor(
+inst,ctx)});function custom(fn,_params){return _custom(ZodCustom,fn??(()=>!0),_params)}function refine(fn,_params={}){return _refine(ZodCustom,fn,_params)}function superRefine(fn){return _superRefine(fn)}function preprocess$1(fn,schema){return pipe(transform$1(fn),schema)}const ZodIssueCode={custom:"custom"};function number$1(params){return _coercedNumber(ZodNumber,params)}const LATEST_PROTOCOL_VERSION="2025-11-25",SUPPORTED_PROTOCOL_VERSIONS=[LATEST_PROTOCOL_VERSION,"2025-06-18","2025-03-26","2\
+024-11-05","2024-10-07"],RELATED_TASK_META_KEY="io.modelcontextprotocol/related-task",JSONRPC_VERSION="2.0",AssertObjectSchema=custom(v=>v!==null&&(typeof v=="object"||typeof v=="function")),ProgressTokenSchema=union([string$2(),number$2().int()]),CursorSchema=string$2();looseObject({ttl:union([number$2(),_null()]).optional(),pollInterval:number$2().optional()});const TaskMetadataSchema=object({ttl:number$2().optional()}),RelatedTaskMetadataSchema=object({taskId:string$2()}),RequestMetaSchema=looseObject(
+{progressToken:ProgressTokenSchema.optional(),[RELATED_TASK_META_KEY]:RelatedTaskMetadataSchema.optional()}),BaseRequestParamsSchema=object({_meta:RequestMetaSchema.optional()}),TaskAugmentedRequestParamsSchema=BaseRequestParamsSchema.extend({task:TaskMetadataSchema.optional()}),isTaskAugmentedRequestParams=value=>TaskAugmentedRequestParamsSchema.safeParse(value).success,RequestSchema=object({method:string$2(),params:BaseRequestParamsSchema.loose().optional()}),NotificationsParamsSchema=object({
+_meta:RequestMetaSchema.optional()}),NotificationSchema=object({method:string$2(),params:NotificationsParamsSchema.loose().optional()}),ResultSchema=looseObject({_meta:RequestMetaSchema.optional()}),RequestIdSchema=union([string$2(),number$2().int()]),JSONRPCRequestSchema=object({jsonrpc:literal(JSONRPC_VERSION),id:RequestIdSchema,...RequestSchema.shape}).strict(),isJSONRPCRequest=value=>JSONRPCRequestSchema.safeParse(value).success,JSONRPCNotificationSchema=object({jsonrpc:literal(JSONRPC_VERSION),
+...NotificationSchema.shape}).strict(),isJSONRPCNotification=value=>JSONRPCNotificationSchema.safeParse(value).success,JSONRPCResultResponseSchema=object({jsonrpc:literal(JSONRPC_VERSION),id:RequestIdSchema,result:ResultSchema}).strict(),isJSONRPCResultResponse=value=>JSONRPCResultResponseSchema.safeParse(value).success;var ErrorCode;(function(ErrorCode2){ErrorCode2[ErrorCode2.ConnectionClosed=-32e3]="ConnectionClosed",ErrorCode2[ErrorCode2.RequestTimeout=-32001]="RequestTimeout",ErrorCode2[ErrorCode2.
+ParseError=-32700]="ParseError",ErrorCode2[ErrorCode2.InvalidRequest=-32600]="InvalidRequest",ErrorCode2[ErrorCode2.MethodNotFound=-32601]="MethodNotFound",ErrorCode2[ErrorCode2.InvalidParams=-32602]="InvalidParams",ErrorCode2[ErrorCode2.InternalError=-32603]="InternalError",ErrorCode2[ErrorCode2.UrlElicitationRequired=-32042]="UrlElicitationRequired"})(ErrorCode||(ErrorCode={}));const JSONRPCErrorResponseSchema=object({jsonrpc:literal(JSONRPC_VERSION),id:RequestIdSchema.optional(),error:object(
+{code:number$2().int(),message:string$2(),data:unknown$2().optional()})}).strict(),isJSONRPCErrorResponse=value=>JSONRPCErrorResponseSchema.safeParse(value).success,JSONRPCMessageSchema=union([JSONRPCRequestSchema,JSONRPCNotificationSchema,JSONRPCResultResponseSchema,JSONRPCErrorResponseSchema]);union([JSONRPCResultResponseSchema,JSONRPCErrorResponseSchema]);const EmptyResultSchema=ResultSchema.strict(),CancelledNotificationParamsSchema=NotificationsParamsSchema.extend({requestId:RequestIdSchema.
+optional(),reason:string$2().optional()}),CancelledNotificationSchema=NotificationSchema.extend({method:literal("notifications/cancelled"),params:CancelledNotificationParamsSchema}),IconSchema=object({src:string$2(),mimeType:string$2().optional(),sizes:array(string$2()).optional(),theme:_enum$2(["light","dark"]).optional()}),IconsSchema=object({icons:array(IconSchema).optional()}),BaseMetadataSchema=object({name:string$2(),title:string$2().optional()}),ImplementationSchema=BaseMetadataSchema.extend(
+{...BaseMetadataSchema.shape,...IconsSchema.shape,version:string$2(),websiteUrl:string$2().optional(),description:string$2().optional()}),FormElicitationCapabilitySchema=intersection(object({applyDefaults:boolean$1().optional()}),record(string$2(),unknown$2())),ElicitationCapabilitySchema=preprocess$1(value=>value&&typeof value=="object"&&!Array.isArray(value)&&Object.keys(value).length===0?{form:{}}:value,intersection(object({form:FormElicitationCapabilitySchema.optional(),url:AssertObjectSchema.
+optional()}),record(string$2(),unknown$2()).optional())),ClientTasksCapabilitySchema=looseObject({list:AssertObjectSchema.optional(),cancel:AssertObjectSchema.optional(),requests:looseObject({sampling:looseObject({createMessage:AssertObjectSchema.optional()}).optional(),elicitation:looseObject({create:AssertObjectSchema.optional()}).optional()}).optional()}),ServerTasksCapabilitySchema=looseObject({list:AssertObjectSchema.optional(),cancel:AssertObjectSchema.optional(),requests:looseObject({tools:looseObject(
+{call:AssertObjectSchema.optional()}).optional()}).optional()}),ClientCapabilitiesSchema=object({experimental:record(string$2(),AssertObjectSchema).optional(),sampling:object({context:AssertObjectSchema.optional(),tools:AssertObjectSchema.optional()}).optional(),elicitation:ElicitationCapabilitySchema.optional(),roots:object({listChanged:boolean$1().optional()}).optional(),tasks:ClientTasksCapabilitySchema.optional()}),InitializeRequestParamsSchema=BaseRequestParamsSchema.extend({protocolVersion:string$2(),
+capabilities:ClientCapabilitiesSchema,clientInfo:ImplementationSchema}),InitializeRequestSchema=RequestSchema.extend({method:literal("initialize"),params:InitializeRequestParamsSchema}),ServerCapabilitiesSchema=object({experimental:record(string$2(),AssertObjectSchema).optional(),logging:AssertObjectSchema.optional(),completions:AssertObjectSchema.optional(),prompts:object({listChanged:boolean$1().optional()}).optional(),resources:object({subscribe:boolean$1().optional(),listChanged:boolean$1().
+optional()}).optional(),tools:object({listChanged:boolean$1().optional()}).optional(),tasks:ServerTasksCapabilitySchema.optional()}),InitializeResultSchema=ResultSchema.extend({protocolVersion:string$2(),capabilities:ServerCapabilitiesSchema,serverInfo:ImplementationSchema,instructions:string$2().optional()}),InitializedNotificationSchema=NotificationSchema.extend({method:literal("notifications/initialized"),params:NotificationsParamsSchema.optional()}),isInitializedNotification=value=>InitializedNotificationSchema.
+safeParse(value).success,PingRequestSchema=RequestSchema.extend({method:literal("ping"),params:BaseRequestParamsSchema.optional()}),ProgressSchema=object({progress:number$2(),total:optional(number$2()),message:optional(string$2())}),ProgressNotificationParamsSchema=object({...NotificationsParamsSchema.shape,...ProgressSchema.shape,progressToken:ProgressTokenSchema}),ProgressNotificationSchema=NotificationSchema.extend({method:literal("notifications/progress"),params:ProgressNotificationParamsSchema}),
+PaginatedRequestParamsSchema=BaseRequestParamsSchema.extend({cursor:CursorSchema.optional()}),PaginatedRequestSchema=RequestSchema.extend({params:PaginatedRequestParamsSchema.optional()}),PaginatedResultSchema=ResultSchema.extend({nextCursor:CursorSchema.optional()}),TaskStatusSchema=_enum$2(["working","input_required","completed","failed","cancelled"]),TaskSchema=object({taskId:string$2(),status:TaskStatusSchema,ttl:union([number$2(),_null()]),createdAt:string$2(),lastUpdatedAt:string$2(),pollInterval:optional(
+number$2()),statusMessage:optional(string$2())}),CreateTaskResultSchema=ResultSchema.extend({task:TaskSchema}),TaskStatusNotificationParamsSchema=NotificationsParamsSchema.merge(TaskSchema),TaskStatusNotificationSchema=NotificationSchema.extend({method:literal("notifications/tasks/status"),params:TaskStatusNotificationParamsSchema}),GetTaskRequestSchema=RequestSchema.extend({method:literal("tasks/get"),params:BaseRequestParamsSchema.extend({taskId:string$2()})}),GetTaskResultSchema=ResultSchema.
+merge(TaskSchema),GetTaskPayloadRequestSchema=RequestSchema.extend({method:literal("tasks/result"),params:BaseRequestParamsSchema.extend({taskId:string$2()})});ResultSchema.loose();const ListTasksRequestSchema=PaginatedRequestSchema.extend({method:literal("tasks/list")}),ListTasksResultSchema=PaginatedResultSchema.extend({tasks:array(TaskSchema)}),CancelTaskRequestSchema=RequestSchema.extend({method:literal("tasks/cancel"),params:BaseRequestParamsSchema.extend({taskId:string$2()})}),CancelTaskResultSchema=ResultSchema.
+merge(TaskSchema),ResourceContentsSchema=object({uri:string$2(),mimeType:optional(string$2()),_meta:record(string$2(),unknown$2()).optional()}),TextResourceContentsSchema=ResourceContentsSchema.extend({text:string$2()}),Base64Schema=string$2().refine(val=>{try{return atob(val),!0}catch{return!1}},{message:"Invalid Base64 string"}),BlobResourceContentsSchema=ResourceContentsSchema.extend({blob:Base64Schema}),RoleSchema=_enum$2(["user","assistant"]),AnnotationsSchema=object({audience:array(RoleSchema).
+optional(),priority:number$2().min(0).max(1).optional(),lastModified:datetime({offset:!0}).optional()}),ResourceSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,uri:string$2(),description:optional(string$2()),mimeType:optional(string$2()),annotations:AnnotationsSchema.optional(),_meta:optional(looseObject({}))}),ResourceTemplateSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,uriTemplate:string$2(),description:optional(string$2()),mimeType:optional(string$2()),annotations:AnnotationsSchema.
+optional(),_meta:optional(looseObject({}))}),ListResourcesRequestSchema=PaginatedRequestSchema.extend({method:literal("resources/list")}),ListResourcesResultSchema=PaginatedResultSchema.extend({resources:array(ResourceSchema)}),ListResourceTemplatesRequestSchema=PaginatedRequestSchema.extend({method:literal("resources/templates/list")}),ListResourceTemplatesResultSchema=PaginatedResultSchema.extend({resourceTemplates:array(ResourceTemplateSchema)}),ResourceRequestParamsSchema=BaseRequestParamsSchema.
+extend({uri:string$2()}),ReadResourceRequestParamsSchema=ResourceRequestParamsSchema,ReadResourceRequestSchema=RequestSchema.extend({method:literal("resources/read"),params:ReadResourceRequestParamsSchema}),ReadResourceResultSchema=ResultSchema.extend({contents:array(union([TextResourceContentsSchema,BlobResourceContentsSchema]))}),ResourceListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/resources/list_changed"),params:NotificationsParamsSchema.optional()}),
+SubscribeRequestParamsSchema=ResourceRequestParamsSchema,SubscribeRequestSchema=RequestSchema.extend({method:literal("resources/subscribe"),params:SubscribeRequestParamsSchema}),UnsubscribeRequestParamsSchema=ResourceRequestParamsSchema,UnsubscribeRequestSchema=RequestSchema.extend({method:literal("resources/unsubscribe"),params:UnsubscribeRequestParamsSchema}),ResourceUpdatedNotificationParamsSchema=NotificationsParamsSchema.extend({uri:string$2()}),ResourceUpdatedNotificationSchema=NotificationSchema.
+extend({method:literal("notifications/resources/updated"),params:ResourceUpdatedNotificationParamsSchema}),PromptArgumentSchema=object({name:string$2(),description:optional(string$2()),required:optional(boolean$1())}),PromptSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,description:optional(string$2()),arguments:optional(array(PromptArgumentSchema)),_meta:optional(looseObject({}))}),ListPromptsRequestSchema=PaginatedRequestSchema.extend({method:literal("prompts/list")}),ListPromptsResultSchema=PaginatedResultSchema.
+extend({prompts:array(PromptSchema)}),GetPromptRequestParamsSchema=BaseRequestParamsSchema.extend({name:string$2(),arguments:record(string$2(),string$2()).optional()}),GetPromptRequestSchema=RequestSchema.extend({method:literal("prompts/get"),params:GetPromptRequestParamsSchema}),TextContentSchema=object({type:literal("text"),text:string$2(),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ImageContentSchema=object({type:literal("image"),data:Base64Schema,
+mimeType:string$2(),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),AudioContentSchema=object({type:literal("audio"),data:Base64Schema,mimeType:string$2(),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ToolUseContentSchema=object({type:literal("tool_use"),name:string$2(),id:string$2(),input:record(string$2(),unknown$2()),_meta:record(string$2(),unknown$2()).optional()}),EmbeddedResourceSchema=object({type:literal(
+"resource"),resource:union([TextResourceContentsSchema,BlobResourceContentsSchema]),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ResourceLinkSchema=ResourceSchema.extend({type:literal("resource_link")}),ContentBlockSchema=union([TextContentSchema,ImageContentSchema,AudioContentSchema,ResourceLinkSchema,EmbeddedResourceSchema]),PromptMessageSchema=object({role:RoleSchema,content:ContentBlockSchema}),GetPromptResultSchema=ResultSchema.extend({description:string$2().
+optional(),messages:array(PromptMessageSchema)}),PromptListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/prompts/list_changed"),params:NotificationsParamsSchema.optional()}),ToolAnnotationsSchema=object({title:string$2().optional(),readOnlyHint:boolean$1().optional(),destructiveHint:boolean$1().optional(),idempotentHint:boolean$1().optional(),openWorldHint:boolean$1().optional()}),ToolExecutionSchema=object({taskSupport:_enum$2(["required","optional","forbidd\
+en"]).optional()}),ToolSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,description:string$2().optional(),inputSchema:object({type:literal("object"),properties:record(string$2(),AssertObjectSchema).optional(),required:array(string$2()).optional()}).catchall(unknown$2()),outputSchema:object({type:literal("object"),properties:record(string$2(),AssertObjectSchema).optional(),required:array(string$2()).optional()}).catchall(unknown$2()).optional(),annotations:ToolAnnotationsSchema.optional(),
+execution:ToolExecutionSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ListToolsRequestSchema=PaginatedRequestSchema.extend({method:literal("tools/list")}),ListToolsResultSchema=PaginatedResultSchema.extend({tools:array(ToolSchema)}),CallToolResultSchema=ResultSchema.extend({content:array(ContentBlockSchema).default([]),structuredContent:record(string$2(),unknown$2()).optional(),isError:boolean$1().optional()});CallToolResultSchema.or(ResultSchema.extend({toolResult:unknown$2()}));
+const CallToolRequestParamsSchema=TaskAugmentedRequestParamsSchema.extend({name:string$2(),arguments:record(string$2(),unknown$2()).optional()}),CallToolRequestSchema=RequestSchema.extend({method:literal("tools/call"),params:CallToolRequestParamsSchema}),ToolListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/tools/list_changed"),params:NotificationsParamsSchema.optional()}),ListChangedOptionsBaseSchema=object({autoRefresh:boolean$1().default(!0),debounceMs:number$2().
+int().nonnegative().default(300)}),LoggingLevelSchema=_enum$2(["debug","info","notice","warning","error","critical","alert","emergency"]),SetLevelRequestParamsSchema=BaseRequestParamsSchema.extend({level:LoggingLevelSchema}),SetLevelRequestSchema=RequestSchema.extend({method:literal("logging/setLevel"),params:SetLevelRequestParamsSchema}),LoggingMessageNotificationParamsSchema=NotificationsParamsSchema.extend({level:LoggingLevelSchema,logger:string$2().optional(),data:unknown$2()}),LoggingMessageNotificationSchema=NotificationSchema.
+extend({method:literal("notifications/message"),params:LoggingMessageNotificationParamsSchema}),ModelHintSchema=object({name:string$2().optional()}),ModelPreferencesSchema=object({hints:array(ModelHintSchema).optional(),costPriority:number$2().min(0).max(1).optional(),speedPriority:number$2().min(0).max(1).optional(),intelligencePriority:number$2().min(0).max(1).optional()}),ToolChoiceSchema=object({mode:_enum$2(["auto","required","none"]).optional()}),ToolResultContentSchema=object({type:literal(
+"tool_result"),toolUseId:string$2().describe("The unique identifier for the corresponding tool call."),content:array(ContentBlockSchema).default([]),structuredContent:object({}).loose().optional(),isError:boolean$1().optional(),_meta:record(string$2(),unknown$2()).optional()}),SamplingContentSchema=discriminatedUnion("type",[TextContentSchema,ImageContentSchema,AudioContentSchema]),SamplingMessageContentBlockSchema=discriminatedUnion("type",[TextContentSchema,ImageContentSchema,AudioContentSchema,
+ToolUseContentSchema,ToolResultContentSchema]),SamplingMessageSchema=object({role:RoleSchema,content:union([SamplingMessageContentBlockSchema,array(SamplingMessageContentBlockSchema)]),_meta:record(string$2(),unknown$2()).optional()}),CreateMessageRequestParamsSchema=TaskAugmentedRequestParamsSchema.extend({messages:array(SamplingMessageSchema),modelPreferences:ModelPreferencesSchema.optional(),systemPrompt:string$2().optional(),includeContext:_enum$2(["none","thisServer","allServers"]).optional(),
+temperature:number$2().optional(),maxTokens:number$2().int(),stopSequences:array(string$2()).optional(),metadata:AssertObjectSchema.optional(),tools:array(ToolSchema).optional(),toolChoice:ToolChoiceSchema.optional()}),CreateMessageRequestSchema=RequestSchema.extend({method:literal("sampling/createMessage"),params:CreateMessageRequestParamsSchema}),CreateMessageResultSchema=ResultSchema.extend({model:string$2(),stopReason:optional(_enum$2(["endTurn","stopSequence","maxTokens"]).or(string$2())),role:RoleSchema,
+content:SamplingContentSchema}),CreateMessageResultWithToolsSchema=ResultSchema.extend({model:string$2(),stopReason:optional(_enum$2(["endTurn","stopSequence","maxTokens","toolUse"]).or(string$2())),role:RoleSchema,content:union([SamplingMessageContentBlockSchema,array(SamplingMessageContentBlockSchema)])}),BooleanSchemaSchema=object({type:literal("boolean"),title:string$2().optional(),description:string$2().optional(),default:boolean$1().optional()}),StringSchemaSchema=object({type:literal("str\
+ing"),title:string$2().optional(),description:string$2().optional(),minLength:number$2().optional(),maxLength:number$2().optional(),format:_enum$2(["email","uri","date","date-time"]).optional(),default:string$2().optional()}),NumberSchemaSchema=object({type:_enum$2(["number","integer"]),title:string$2().optional(),description:string$2().optional(),minimum:number$2().optional(),maximum:number$2().optional(),default:number$2().optional()}),UntitledSingleSelectEnumSchemaSchema=object({type:literal(
+"string"),title:string$2().optional(),description:string$2().optional(),enum:array(string$2()),default:string$2().optional()}),TitledSingleSelectEnumSchemaSchema=object({type:literal("string"),title:string$2().optional(),description:string$2().optional(),oneOf:array(object({const:string$2(),title:string$2()})),default:string$2().optional()}),LegacyTitledEnumSchemaSchema=object({type:literal("string"),title:string$2().optional(),description:string$2().optional(),enum:array(string$2()),enumNames:array(
+string$2()).optional(),default:string$2().optional()}),SingleSelectEnumSchemaSchema=union([UntitledSingleSelectEnumSchemaSchema,TitledSingleSelectEnumSchemaSchema]),UntitledMultiSelectEnumSchemaSchema=object({type:literal("array"),title:string$2().optional(),description:string$2().optional(),minItems:number$2().optional(),maxItems:number$2().optional(),items:object({type:literal("string"),enum:array(string$2())}),default:array(string$2()).optional()}),TitledMultiSelectEnumSchemaSchema=object({type:literal(
+"array"),title:string$2().optional(),description:string$2().optional(),minItems:number$2().optional(),maxItems:number$2().optional(),items:object({anyOf:array(object({const:string$2(),title:string$2()}))}),default:array(string$2()).optional()}),MultiSelectEnumSchemaSchema=union([UntitledMultiSelectEnumSchemaSchema,TitledMultiSelectEnumSchemaSchema]),EnumSchemaSchema=union([LegacyTitledEnumSchemaSchema,SingleSelectEnumSchemaSchema,MultiSelectEnumSchemaSchema]),PrimitiveSchemaDefinitionSchema=union(
+[EnumSchemaSchema,BooleanSchemaSchema,StringSchemaSchema,NumberSchemaSchema]),ElicitRequestFormParamsSchema=TaskAugmentedRequestParamsSchema.extend({mode:literal("form").optional(),message:string$2(),requestedSchema:object({type:literal("object"),properties:record(string$2(),PrimitiveSchemaDefinitionSchema),required:array(string$2()).optional()})}),ElicitRequestURLParamsSchema=TaskAugmentedRequestParamsSchema.extend({mode:literal("url"),message:string$2(),elicitationId:string$2(),url:string$2().
+url()}),ElicitRequestParamsSchema=union([ElicitRequestFormParamsSchema,ElicitRequestURLParamsSchema]),ElicitRequestSchema=RequestSchema.extend({method:literal("elicitation/create"),params:ElicitRequestParamsSchema}),ElicitationCompleteNotificationParamsSchema=NotificationsParamsSchema.extend({elicitationId:string$2()}),ElicitationCompleteNotificationSchema=NotificationSchema.extend({method:literal("notifications/elicitation/complete"),params:ElicitationCompleteNotificationParamsSchema}),ElicitResultSchema=ResultSchema.
+extend({action:_enum$2(["accept","decline","cancel"]),content:preprocess$1(val=>val===null?void 0:val,record(string$2(),union([string$2(),number$2(),boolean$1(),array(string$2())])).optional())}),ResourceTemplateReferenceSchema=object({type:literal("ref/resource"),uri:string$2()}),PromptReferenceSchema=object({type:literal("ref/prompt"),name:string$2()}),CompleteRequestParamsSchema=BaseRequestParamsSchema.extend({ref:union([PromptReferenceSchema,ResourceTemplateReferenceSchema]),argument:object(
+{name:string$2(),value:string$2()}),context:object({arguments:record(string$2(),string$2()).optional()}).optional()}),CompleteRequestSchema=RequestSchema.extend({method:literal("completion/complete"),params:CompleteRequestParamsSchema}),CompleteResultSchema=ResultSchema.extend({completion:looseObject({values:array(string$2()).max(100),total:optional(number$2().int()),hasMore:optional(boolean$1())})}),RootSchema=object({uri:string$2().startsWith("file://"),name:string$2().optional(),_meta:record(
+string$2(),unknown$2()).optional()}),ListRootsRequestSchema=RequestSchema.extend({method:literal("roots/list"),params:BaseRequestParamsSchema.optional()}),ListRootsResultSchema=ResultSchema.extend({roots:array(RootSchema)}),RootsListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/roots/list_changed"),params:NotificationsParamsSchema.optional()});union([PingRequestSchema,InitializeRequestSchema,CompleteRequestSchema,SetLevelRequestSchema,GetPromptRequestSchema,ListPromptsRequestSchema,
+ListResourcesRequestSchema,ListResourceTemplatesRequestSchema,ReadResourceRequestSchema,SubscribeRequestSchema,UnsubscribeRequestSchema,CallToolRequestSchema,ListToolsRequestSchema,GetTaskRequestSchema,GetTaskPayloadRequestSchema,ListTasksRequestSchema,CancelTaskRequestSchema]);union([CancelledNotificationSchema,ProgressNotificationSchema,InitializedNotificationSchema,RootsListChangedNotificationSchema,TaskStatusNotificationSchema]);union([EmptyResultSchema,CreateMessageResultSchema,CreateMessageResultWithToolsSchema,
+ElicitResultSchema,ListRootsResultSchema,GetTaskResultSchema,ListTasksResultSchema,CreateTaskResultSchema]);union([PingRequestSchema,CreateMessageRequestSchema,ElicitRequestSchema,ListRootsRequestSchema,GetTaskRequestSchema,GetTaskPayloadRequestSchema,ListTasksRequestSchema,CancelTaskRequestSchema]);union([CancelledNotificationSchema,ProgressNotificationSchema,LoggingMessageNotificationSchema,ResourceUpdatedNotificationSchema,ResourceListChangedNotificationSchema,ToolListChangedNotificationSchema,
+PromptListChangedNotificationSchema,TaskStatusNotificationSchema,ElicitationCompleteNotificationSchema]);union([EmptyResultSchema,InitializeResultSchema,CompleteResultSchema,GetPromptResultSchema,ListPromptsResultSchema,ListResourcesResultSchema,ListResourceTemplatesResultSchema,ReadResourceResultSchema,CallToolResultSchema,ListToolsResultSchema,GetTaskResultSchema,ListTasksResultSchema,CreateTaskResultSchema]);class McpError extends Error{constructor(code2,message,data){super(`MCP error ${code2}\
+: ${message}`),this.code=code2,this.data=data,this.name="McpError"}static fromError(code2,message,data){if(code2===ErrorCode.UrlElicitationRequired&&data){const errorData=data;if(errorData.elicitations)return new UrlElicitationRequiredError(errorData.elicitations,message)}return new McpError(code2,message,data)}}class UrlElicitationRequiredError extends McpError{constructor(elicitations,message=`URL elicitation${elicitations.length>1?"s":""} required`){super(ErrorCode.UrlElicitationRequired,message,
+{elicitations})}get elicitations(){return this.data?.elicitations??[]}}function isTerminal(status){return status==="completed"||status==="failed"||status==="cancelled"}new Set("ABCDEFGHIJKLMNOPQRSTUVXYZabcdefghijklmnopqrstuvxyz0123456789");function getMethodLiteral(schema){const methodSchema=getObjectShape(schema)?.method;if(!methodSchema)throw new Error("Schema is missing a method literal");const value=getLiteralValue(methodSchema);if(typeof value!="string")throw new Error("Schema method litera\
+l must be a string");return value}function parseWithCompat(schema,data){const result=safeParse$1(schema,data);if(!result.success)throw result.error;return result.data}const DEFAULT_REQUEST_TIMEOUT_MSEC=6e4;class Protocol{constructor(_options){this._options=_options,this._requestMessageId=0,this._requestHandlers=new Map,this._requestHandlerAbortControllers=new Map,this._notificationHandlers=new Map,this._responseHandlers=new Map,this._progressHandlers=new Map,this._timeoutInfo=new Map,this._pendingDebouncedNotifications=
+new Set,this._taskProgressTokens=new Map,this._requestResolvers=new Map,this.setNotificationHandler(CancelledNotificationSchema,notification=>{this._oncancel(notification)}),this.setNotificationHandler(ProgressNotificationSchema,notification=>{this._onprogress(notification)}),this.setRequestHandler(PingRequestSchema,_request=>({})),this._taskStore=_options?.taskStore,this._taskMessageQueue=_options?.taskMessageQueue,this._taskStore&&(this.setRequestHandler(GetTaskRequestSchema,async(request,extra)=>{
+const task=await this._taskStore.getTask(request.params.taskId,extra.sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,"Failed to retrieve task: Task not found");return{...task}}),this.setRequestHandler(GetTaskPayloadRequestSchema,async(request,extra)=>{const handleTaskResult=async()=>{const taskId=request.params.taskId;if(this._taskMessageQueue){let queuedMessage;for(;queuedMessage=await this._taskMessageQueue.dequeue(taskId,extra.sessionId);){if(queuedMessage.type==="response"||queuedMessage.
+type==="error"){const message=queuedMessage.message,requestId=message.id,resolver2=this._requestResolvers.get(requestId);if(resolver2)if(this._requestResolvers.delete(requestId),queuedMessage.type==="response")resolver2(message);else{const errorMessage=message,error2=new McpError(errorMessage.error.code,errorMessage.error.message,errorMessage.error.data);resolver2(error2)}else{const messageType=queuedMessage.type==="response"?"Response":"Error";this._onerror(new Error(`${messageType} handler mis\
+sing for request ${requestId}`))}continue}await this._transport?.send(queuedMessage.message,{relatedRequestId:extra.requestId})}}const task=await this._taskStore.getTask(taskId,extra.sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,`Task not found: ${taskId}`);if(!isTerminal(task.status))return await this._waitForTaskUpdate(taskId,extra.signal),await handleTaskResult();if(isTerminal(task.status)){const result=await this._taskStore.getTaskResult(taskId,extra.sessionId);return this._clearTaskQueue(
+taskId),{...result,_meta:{...result._meta,[RELATED_TASK_META_KEY]:{taskId}}}}return await handleTaskResult()};return await handleTaskResult()}),this.setRequestHandler(ListTasksRequestSchema,async(request,extra)=>{try{const{tasks,nextCursor}=await this._taskStore.listTasks(request.params?.cursor,extra.sessionId);return{tasks,nextCursor,_meta:{}}}catch(error2){throw new McpError(ErrorCode.InvalidParams,`Failed to list tasks: ${error2 instanceof Error?error2.message:String(error2)}`)}}),this.setRequestHandler(
+CancelTaskRequestSchema,async(request,extra)=>{try{const task=await this._taskStore.getTask(request.params.taskId,extra.sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,`Task not found: ${request.params.taskId}`);if(isTerminal(task.status))throw new McpError(ErrorCode.InvalidParams,`Cannot cancel task in terminal status: ${task.status}`);await this._taskStore.updateTaskStatus(request.params.taskId,"cancelled","Client cancelled task execution.",extra.sessionId),this._clearTaskQueue(
+request.params.taskId);const cancelledTask=await this._taskStore.getTask(request.params.taskId,extra.sessionId);if(!cancelledTask)throw new McpError(ErrorCode.InvalidParams,`Task not found after cancellation: ${request.params.taskId}`);return{_meta:{},...cancelledTask}}catch(error2){throw error2 instanceof McpError?error2:new McpError(ErrorCode.InvalidRequest,`Failed to cancel task: ${error2 instanceof Error?error2.message:String(error2)}`)}}))}async _oncancel(notification){if(!notification.params.
+requestId)return;this._requestHandlerAbortControllers.get(notification.params.requestId)?.abort(notification.params.reason)}_setupTimeout(messageId,timeout,maxTotalTimeout,onTimeout,resetTimeoutOnProgress=!1){this._timeoutInfo.set(messageId,{timeoutId:setTimeout(onTimeout,timeout),startTime:Date.now(),timeout,maxTotalTimeout,resetTimeoutOnProgress,onTimeout})}_resetTimeout(messageId){const info2=this._timeoutInfo.get(messageId);if(!info2)return!1;const totalElapsed=Date.now()-info2.startTime;if(info2.
+maxTotalTimeout&&totalElapsed>=info2.maxTotalTimeout)throw this._timeoutInfo.delete(messageId),McpError.fromError(ErrorCode.RequestTimeout,"Maximum total timeout exceeded",{maxTotalTimeout:info2.maxTotalTimeout,totalElapsed});return clearTimeout(info2.timeoutId),info2.timeoutId=setTimeout(info2.onTimeout,info2.timeout),!0}_cleanupTimeout(messageId){const info2=this._timeoutInfo.get(messageId);info2&&(clearTimeout(info2.timeoutId),this._timeoutInfo.delete(messageId))}async connect(transport){if(this.
+_transport)throw new Error("Already connected to a transport. Call close() before connecting to a new transport, or use a separate Protocol instance per connection.");this._transport=transport;const _onclose=this.transport?.onclose;this._transport.onclose=()=>{_onclose?.(),this._onclose()};const _onerror=this.transport?.onerror;this._transport.onerror=error2=>{_onerror?.(error2),this._onerror(error2)};const _onmessage=this._transport?.onmessage;this._transport.onmessage=(message,extra)=>{_onmessage?.(
+message,extra),isJSONRPCResultResponse(message)||isJSONRPCErrorResponse(message)?this._onresponse(message):isJSONRPCRequest(message)?this._onrequest(message,extra):isJSONRPCNotification(message)?this._onnotification(message):this._onerror(new Error(`Unknown message type: ${JSON.stringify(message)}`))},await this._transport.start()}_onclose(){const responseHandlers=this._responseHandlers;this._responseHandlers=new Map,this._progressHandlers.clear(),this._taskProgressTokens.clear(),this._pendingDebouncedNotifications.
+clear();for(const controller of this._requestHandlerAbortControllers.values())controller.abort();this._requestHandlerAbortControllers.clear();const error2=McpError.fromError(ErrorCode.ConnectionClosed,"Connection closed");this._transport=void 0,this.onclose?.();for(const handler of responseHandlers.values())handler(error2)}_onerror(error2){this.onerror?.(error2)}_onnotification(notification){const handler=this._notificationHandlers.get(notification.method)??this.fallbackNotificationHandler;handler!==
+void 0&&Promise.resolve().then(()=>handler(notification)).catch(error2=>this._onerror(new Error(`Uncaught error in notification handler: ${error2}`)))}_onrequest(request,extra){const handler=this._requestHandlers.get(request.method)??this.fallbackRequestHandler,capturedTransport=this._transport,relatedTaskId=request.params?._meta?.[RELATED_TASK_META_KEY]?.taskId;if(handler===void 0){const errorResponse={jsonrpc:"2.0",id:request.id,error:{code:ErrorCode.MethodNotFound,message:"Method not found"}};
+relatedTaskId&&this._taskMessageQueue?this._enqueueTaskMessage(relatedTaskId,{type:"error",message:errorResponse,timestamp:Date.now()},capturedTransport?.sessionId).catch(error2=>this._onerror(new Error(`Failed to enqueue error response: ${error2}`))):capturedTransport?.send(errorResponse).catch(error2=>this._onerror(new Error(`Failed to send an error response: ${error2}`)));return}const abortController=new AbortController;this._requestHandlerAbortControllers.set(request.id,abortController);const taskCreationParams=isTaskAugmentedRequestParams(
+request.params)?request.params.task:void 0,taskStore=this._taskStore?this.requestTaskStore(request,capturedTransport?.sessionId):void 0,fullExtra={signal:abortController.signal,sessionId:capturedTransport?.sessionId,_meta:request.params?._meta,sendNotification:async notification=>{if(abortController.signal.aborted)return;const notificationOptions={relatedRequestId:request.id};relatedTaskId&&(notificationOptions.relatedTask={taskId:relatedTaskId}),await this.notification(notification,notificationOptions)},
+sendRequest:async(r2,resultSchema,options)=>{if(abortController.signal.aborted)throw new McpError(ErrorCode.ConnectionClosed,"Request was cancelled");const requestOptions={...options,relatedRequestId:request.id};relatedTaskId&&!requestOptions.relatedTask&&(requestOptions.relatedTask={taskId:relatedTaskId});const effectiveTaskId=requestOptions.relatedTask?.taskId??relatedTaskId;return effectiveTaskId&&taskStore&&await taskStore.updateTaskStatus(effectiveTaskId,"input_required"),await this.request(
+r2,resultSchema,requestOptions)},authInfo:extra?.authInfo,requestId:request.id,requestInfo:extra?.requestInfo,taskId:relatedTaskId,taskStore,taskRequestedTtl:taskCreationParams?.ttl,closeSSEStream:extra?.closeSSEStream,closeStandaloneSSEStream:extra?.closeStandaloneSSEStream};Promise.resolve().then(()=>{taskCreationParams&&this.assertTaskHandlerCapability(request.method)}).then(()=>handler(request,fullExtra)).then(async result=>{if(abortController.signal.aborted)return;const response={result,jsonrpc:"\
+2.0",id:request.id};relatedTaskId&&this._taskMessageQueue?await this._enqueueTaskMessage(relatedTaskId,{type:"response",message:response,timestamp:Date.now()},capturedTransport?.sessionId):await capturedTransport?.send(response)},async error2=>{if(abortController.signal.aborted)return;const errorResponse={jsonrpc:"2.0",id:request.id,error:{code:Number.isSafeInteger(error2.code)?error2.code:ErrorCode.InternalError,message:error2.message??"Internal error",...error2.data!==void 0&&{data:error2.data}}};
+relatedTaskId&&this._taskMessageQueue?await this._enqueueTaskMessage(relatedTaskId,{type:"error",message:errorResponse,timestamp:Date.now()},capturedTransport?.sessionId):await capturedTransport?.send(errorResponse)}).catch(error2=>this._onerror(new Error(`Failed to send response: ${error2}`))).finally(()=>{this._requestHandlerAbortControllers.delete(request.id)})}_onprogress(notification){const{progressToken,...params}=notification.params,messageId=Number(progressToken),handler=this._progressHandlers.
+get(messageId);if(!handler){this._onerror(new Error(`Received a progress notification for an unknown token: ${JSON.stringify(notification)}`));return}const responseHandler=this._responseHandlers.get(messageId),timeoutInfo=this._timeoutInfo.get(messageId);if(timeoutInfo&&responseHandler&&timeoutInfo.resetTimeoutOnProgress)try{this._resetTimeout(messageId)}catch(error2){this._responseHandlers.delete(messageId),this._progressHandlers.delete(messageId),this._cleanupTimeout(messageId),responseHandler(
+error2);return}handler(params)}_onresponse(response){const messageId=Number(response.id),resolver2=this._requestResolvers.get(messageId);if(resolver2){if(this._requestResolvers.delete(messageId),isJSONRPCResultResponse(response))resolver2(response);else{const error2=new McpError(response.error.code,response.error.message,response.error.data);resolver2(error2)}return}const handler=this._responseHandlers.get(messageId);if(handler===void 0){this._onerror(new Error(`Received a response for an unknow\
+n message ID: ${JSON.stringify(response)}`));return}this._responseHandlers.delete(messageId),this._cleanupTimeout(messageId);let isTaskResponse=!1;if(isJSONRPCResultResponse(response)&&response.result&&typeof response.result=="object"){const result=response.result;if(result.task&&typeof result.task=="object"){const task=result.task;typeof task.taskId=="string"&&(isTaskResponse=!0,this._taskProgressTokens.set(task.taskId,messageId))}}if(isTaskResponse||this._progressHandlers.delete(messageId),isJSONRPCResultResponse(
+response))handler(response);else{const error2=McpError.fromError(response.error.code,response.error.message,response.error.data);handler(error2)}}get transport(){return this._transport}async close(){await this._transport?.close()}async*requestStream(request,resultSchema,options){const{task}=options??{};if(!task){try{yield{type:"result",result:await this.request(request,resultSchema,options)}}catch(error2){yield{type:"error",error:error2 instanceof McpError?error2:new McpError(ErrorCode.InternalError,
+String(error2))}}return}let taskId;try{const createResult=await this.request(request,CreateTaskResultSchema,options);if(createResult.task)taskId=createResult.task.taskId,yield{type:"taskCreated",task:createResult.task};else throw new McpError(ErrorCode.InternalError,"Task creation did not return a task");for(;;){const task2=await this.getTask({taskId},options);if(yield{type:"taskStatus",task:task2},isTerminal(task2.status)){task2.status==="completed"?yield{type:"result",result:await this.getTaskResult(
+{taskId},resultSchema,options)}:task2.status==="failed"?yield{type:"error",error:new McpError(ErrorCode.InternalError,`Task ${taskId} failed`)}:task2.status==="cancelled"&&(yield{type:"error",error:new McpError(ErrorCode.InternalError,`Task ${taskId} was cancelled`)});return}if(task2.status==="input_required"){yield{type:"result",result:await this.getTaskResult({taskId},resultSchema,options)};return}const pollInterval=task2.pollInterval??this._options?.defaultTaskPollInterval??1e3;await new Promise(
+resolve2=>setTimeout(resolve2,pollInterval)),options?.signal?.throwIfAborted()}}catch(error2){yield{type:"error",error:error2 instanceof McpError?error2:new McpError(ErrorCode.InternalError,String(error2))}}}request(request,resultSchema,options){const{relatedRequestId,resumptionToken,onresumptiontoken,task,relatedTask}=options??{};return new Promise((resolve2,reject)=>{const earlyReject=error2=>{reject(error2)};if(!this._transport){earlyReject(new Error("Not connected"));return}if(this._options?.
+enforceStrictCapabilities===!0)try{this.assertCapabilityForMethod(request.method),task&&this.assertTaskCapability(request.method)}catch(e){earlyReject(e);return}options?.signal?.throwIfAborted();const messageId=this._requestMessageId++,jsonrpcRequest={...request,jsonrpc:"2.0",id:messageId};options?.onprogress&&(this._progressHandlers.set(messageId,options.onprogress),jsonrpcRequest.params={...request.params,_meta:{...request.params?._meta||{},progressToken:messageId}}),task&&(jsonrpcRequest.params=
+{...jsonrpcRequest.params,task}),relatedTask&&(jsonrpcRequest.params={...jsonrpcRequest.params,_meta:{...jsonrpcRequest.params?._meta||{},[RELATED_TASK_META_KEY]:relatedTask}});const cancel=reason=>{this._responseHandlers.delete(messageId),this._progressHandlers.delete(messageId),this._cleanupTimeout(messageId),this._transport?.send({jsonrpc:"2.0",method:"notifications/cancelled",params:{requestId:messageId,reason:String(reason)}},{relatedRequestId,resumptionToken,onresumptiontoken}).catch(error3=>this.
+_onerror(new Error(`Failed to send cancellation: ${error3}`)));const error2=reason instanceof McpError?reason:new McpError(ErrorCode.RequestTimeout,String(reason));reject(error2)};this._responseHandlers.set(messageId,response=>{if(!options?.signal?.aborted){if(response instanceof Error)return reject(response);try{const parseResult=safeParse$1(resultSchema,response.result);parseResult.success?resolve2(parseResult.data):reject(parseResult.error)}catch(error2){reject(error2)}}}),options?.signal?.addEventListener(
+"abort",()=>{cancel(options?.signal?.reason)});const timeout=options?.timeout??DEFAULT_REQUEST_TIMEOUT_MSEC,timeoutHandler=()=>cancel(McpError.fromError(ErrorCode.RequestTimeout,"Request timed out",{timeout}));this._setupTimeout(messageId,timeout,options?.maxTotalTimeout,timeoutHandler,options?.resetTimeoutOnProgress??!1);const relatedTaskId=relatedTask?.taskId;if(relatedTaskId){const responseResolver=response=>{const handler=this._responseHandlers.get(messageId);handler?handler(response):this._onerror(
+new Error(`Response handler missing for side-channeled request ${messageId}`))};this._requestResolvers.set(messageId,responseResolver),this._enqueueTaskMessage(relatedTaskId,{type:"request",message:jsonrpcRequest,timestamp:Date.now()}).catch(error2=>{this._cleanupTimeout(messageId),reject(error2)})}else this._transport.send(jsonrpcRequest,{relatedRequestId,resumptionToken,onresumptiontoken}).catch(error2=>{this._cleanupTimeout(messageId),reject(error2)})})}async getTask(params,options){return this.
+request({method:"tasks/get",params},GetTaskResultSchema,options)}async getTaskResult(params,resultSchema,options){return this.request({method:"tasks/result",params},resultSchema,options)}async listTasks(params,options){return this.request({method:"tasks/list",params},ListTasksResultSchema,options)}async cancelTask(params,options){return this.request({method:"tasks/cancel",params},CancelTaskResultSchema,options)}async notification(notification,options){if(!this._transport)throw new Error("Not con\
+nected");this.assertNotificationCapability(notification.method);const relatedTaskId=options?.relatedTask?.taskId;if(relatedTaskId){const jsonrpcNotification2={...notification,jsonrpc:"2.0",params:{...notification.params,_meta:{...notification.params?._meta||{},[RELATED_TASK_META_KEY]:options.relatedTask}}};await this._enqueueTaskMessage(relatedTaskId,{type:"notification",message:jsonrpcNotification2,timestamp:Date.now()});return}if((this._options?.debouncedNotificationMethods??[]).includes(notification.
+method)&&!notification.params&&!options?.relatedRequestId&&!options?.relatedTask){if(this._pendingDebouncedNotifications.has(notification.method))return;this._pendingDebouncedNotifications.add(notification.method),Promise.resolve().then(()=>{if(this._pendingDebouncedNotifications.delete(notification.method),!this._transport)return;let jsonrpcNotification2={...notification,jsonrpc:"2.0"};options?.relatedTask&&(jsonrpcNotification2={...jsonrpcNotification2,params:{...jsonrpcNotification2.params,_meta:{
+...jsonrpcNotification2.params?._meta||{},[RELATED_TASK_META_KEY]:options.relatedTask}}}),this._transport?.send(jsonrpcNotification2,options).catch(error2=>this._onerror(error2))});return}let jsonrpcNotification={...notification,jsonrpc:"2.0"};options?.relatedTask&&(jsonrpcNotification={...jsonrpcNotification,params:{...jsonrpcNotification.params,_meta:{...jsonrpcNotification.params?._meta||{},[RELATED_TASK_META_KEY]:options.relatedTask}}}),await this._transport.send(jsonrpcNotification,options)}setRequestHandler(requestSchema,handler){
+const method=getMethodLiteral(requestSchema);this.assertRequestHandlerCapability(method),this._requestHandlers.set(method,(request,extra)=>{const parsed=parseWithCompat(requestSchema,request);return Promise.resolve(handler(parsed,extra))})}removeRequestHandler(method){this._requestHandlers.delete(method)}assertCanSetRequestHandler(method){if(this._requestHandlers.has(method))throw new Error(`A request handler for ${method} already exists, which would be overridden`)}setNotificationHandler(notificationSchema,handler){
+const method=getMethodLiteral(notificationSchema);this._notificationHandlers.set(method,notification=>{const parsed=parseWithCompat(notificationSchema,notification);return Promise.resolve(handler(parsed))})}removeNotificationHandler(method){this._notificationHandlers.delete(method)}_cleanupTaskProgressHandler(taskId){const progressToken=this._taskProgressTokens.get(taskId);progressToken!==void 0&&(this._progressHandlers.delete(progressToken),this._taskProgressTokens.delete(taskId))}async _enqueueTaskMessage(taskId,message,sessionId){
+if(!this._taskStore||!this._taskMessageQueue)throw new Error("Cannot enqueue task message: taskStore and taskMessageQueue are not configured");const maxQueueSize=this._options?.maxTaskQueueSize;await this._taskMessageQueue.enqueue(taskId,message,sessionId,maxQueueSize)}async _clearTaskQueue(taskId,sessionId){if(this._taskMessageQueue){const messages=await this._taskMessageQueue.dequeueAll(taskId,sessionId);for(const message of messages)if(message.type==="request"&&isJSONRPCRequest(message.message)){
+const requestId=message.message.id,resolver2=this._requestResolvers.get(requestId);resolver2?(resolver2(new McpError(ErrorCode.InternalError,"Task cancelled or completed")),this._requestResolvers.delete(requestId)):this._onerror(new Error(`Resolver missing for request ${requestId} during task ${taskId} cleanup`))}}}async _waitForTaskUpdate(taskId,signal){let interval=this._options?.defaultTaskPollInterval??1e3;try{const task=await this._taskStore?.getTask(taskId);task?.pollInterval&&(interval=task.
+pollInterval)}catch{}return new Promise((resolve2,reject)=>{if(signal.aborted){reject(new McpError(ErrorCode.InvalidRequest,"Request cancelled"));return}const timeoutId=setTimeout(resolve2,interval);signal.addEventListener("abort",()=>{clearTimeout(timeoutId),reject(new McpError(ErrorCode.InvalidRequest,"Request cancelled"))},{once:!0})})}requestTaskStore(request,sessionId){const taskStore=this._taskStore;if(!taskStore)throw new Error("No task store configured");return{createTask:async taskParams=>{
+if(!request)throw new Error("No request provided");return await taskStore.createTask(taskParams,request.id,{method:request.method,params:request.params},sessionId)},getTask:async taskId=>{const task=await taskStore.getTask(taskId,sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,"Failed to retrieve task: Task not found");return task},storeTaskResult:async(taskId,status,result)=>{await taskStore.storeTaskResult(taskId,status,result,sessionId);const task=await taskStore.getTask(taskId,
+sessionId);if(task){const notification=TaskStatusNotificationSchema.parse({method:"notifications/tasks/status",params:task});await this.notification(notification),isTerminal(task.status)&&this._cleanupTaskProgressHandler(taskId)}},getTaskResult:taskId=>taskStore.getTaskResult(taskId,sessionId),updateTaskStatus:async(taskId,status,statusMessage)=>{const task=await taskStore.getTask(taskId,sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,`Task "${taskId}" not found - it may have been\
+ cleaned up`);if(isTerminal(task.status))throw new McpError(ErrorCode.InvalidParams,`Cannot update task "${taskId}" from terminal status "${task.status}" to "${status}". Terminal states (completed, failed, cancelled) cannot transition to other states.`);await taskStore.updateTaskStatus(taskId,status,statusMessage,sessionId);const updatedTask=await taskStore.getTask(taskId,sessionId);if(updatedTask){const notification=TaskStatusNotificationSchema.parse({method:"notifications/tasks/status",params:updatedTask});
+await this.notification(notification),isTerminal(updatedTask.status)&&this._cleanupTaskProgressHandler(taskId)}},listTasks:cursor=>taskStore.listTasks(cursor,sessionId)}}}function isPlainObject$1(value){return value!==null&&typeof value=="object"&&!Array.isArray(value)}function mergeCapabilities(base2,additional){const result={...base2};for(const key2 in additional){const k=key2,addValue=additional[k];if(addValue===void 0)continue;const baseValue=result[k];isPlainObject$1(baseValue)&&isPlainObject$1(
+addValue)?result[k]={...baseValue,...addValue}:result[k]=addValue}return result}var ajv$1={exports:{}},core$4={},validate$1={},boolSchema$1={},errors$1={},codegen$1={},code$6={},hasRequiredCode$3;function requireCode$3(){return hasRequiredCode$3||(hasRequiredCode$3=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.regexpCode=exports.getEsmExportName=exports.getProperty=exports.safeStringify=exports.stringify=exports.strConcat=exports.addCodeArg=exports.str=exports.
+_=exports.nil=exports._Code=exports.Name=exports.IDENTIFIER=exports._CodeOrName=void 0;class _CodeOrName{}exports._CodeOrName=_CodeOrName,exports.IDENTIFIER=/^[a-z$_][a-z$_0-9]*$/i;class Name extends _CodeOrName{constructor(s2){if(super(),!exports.IDENTIFIER.test(s2))throw new Error("CodeGen: name must be a valid identifier");this.str=s2}toString(){return this.str}emptyStr(){return!1}get names(){return{[this.str]:1}}}exports.Name=Name;class _Code extends _CodeOrName{constructor(code2){super(),this.
+_items=typeof code2=="string"?[code2]:code2}toString(){return this.str}emptyStr(){if(this._items.length>1)return!1;const item=this._items[0];return item===""||item==='""'}get str(){var _a2;return(_a2=this._str)!==null&&_a2!==void 0?_a2:this._str=this._items.reduce((s2,c2)=>`${s2}${c2}`,"")}get names(){var _a2;return(_a2=this._names)!==null&&_a2!==void 0?_a2:this._names=this._items.reduce((names2,c2)=>(c2 instanceof Name&&(names2[c2.str]=(names2[c2.str]||0)+1),names2),{})}}exports._Code=_Code,exports.
+nil=new _Code("");function _(strs,...args){const code2=[strs[0]];let i=0;for(;i<args.length;)addCodeArg(code2,args[i]),code2.push(strs[++i]);return new _Code(code2)}exports._=_;const plus=new _Code("+");function str(strs,...args){const expr=[safeStringify(strs[0])];let i=0;for(;i<args.length;)expr.push(plus),addCodeArg(expr,args[i]),expr.push(plus,safeStringify(strs[++i]));return optimize(expr),new _Code(expr)}exports.str=str;function addCodeArg(code2,arg){arg instanceof _Code?code2.push(...arg.
+_items):arg instanceof Name?code2.push(arg):code2.push(interpolate(arg))}exports.addCodeArg=addCodeArg;function optimize(expr){let i=1;for(;i<expr.length-1;){if(expr[i]===plus){const res=mergeExprItems(expr[i-1],expr[i+1]);if(res!==void 0){expr.splice(i-1,3,res);continue}expr[i++]="+"}i++}}function mergeExprItems(a,b){if(b==='""')return a;if(a==='""')return b;if(typeof a=="string")return b instanceof Name||a[a.length-1]!=='"'?void 0:typeof b!="string"?`${a.slice(0,-1)}${b}"`:b[0]==='"'?a.slice(0,
+-1)+b.slice(1):void 0;if(typeof b=="string"&&b[0]==='"'&&!(a instanceof Name))return`"${a}${b.slice(1)}`}function strConcat(c1,c2){return c2.emptyStr()?c1:c1.emptyStr()?c2:str`${c1}${c2}`}exports.strConcat=strConcat;function interpolate(x){return typeof x=="number"||typeof x=="boolean"||x===null?x:safeStringify(Array.isArray(x)?x.join(","):x)}function stringify2(x){return new _Code(safeStringify(x))}exports.stringify=stringify2;function safeStringify(x){return JSON.stringify(x).replace(/\u2028/g,
+"\\u2028").replace(/\u2029/g,"\\u2029")}exports.safeStringify=safeStringify;function getProperty(key2){return typeof key2=="string"&&exports.IDENTIFIER.test(key2)?new _Code(`.${key2}`):_`[${key2}]`}exports.getProperty=getProperty;function getEsmExportName(key2){if(typeof key2=="string"&&exports.IDENTIFIER.test(key2))return new _Code(`${key2}`);throw new Error(`CodeGen: invalid export name: ${key2}, use explicit $id name mapping`)}exports.getEsmExportName=getEsmExportName;function regexpCode(rx){
+return new _Code(rx.toString())}exports.regexpCode=regexpCode}(code$6)),code$6}var scope$1={},hasRequiredScope$1;function requireScope$1(){return hasRequiredScope$1||(hasRequiredScope$1=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.ValueScope=exports.ValueScopeName=exports.Scope=exports.varKinds=exports.UsedValueState=void 0;const code_1=requireCode$3();class ValueError extends Error{constructor(name){super(`CodeGen: "code" for ${name} not defined`),this.value=
+name.value}}var UsedValueState;(function(UsedValueState2){UsedValueState2[UsedValueState2.Started=0]="Started",UsedValueState2[UsedValueState2.Completed=1]="Completed"})(UsedValueState||(exports.UsedValueState=UsedValueState={})),exports.varKinds={const:new code_1.Name("const"),let:new code_1.Name("let"),var:new code_1.Name("var")};class Scope{constructor({prefixes,parent}={}){this._names={},this._prefixes=prefixes,this._parent=parent}toName(nameOrPrefix){return nameOrPrefix instanceof code_1.Name?
+nameOrPrefix:this.name(nameOrPrefix)}name(prefix){return new code_1.Name(this._newName(prefix))}_newName(prefix){const ng=this._names[prefix]||this._nameGroup(prefix);return`${prefix}${ng.index++}`}_nameGroup(prefix){var _a2,_b;if(!((_b=(_a2=this._parent)===null||_a2===void 0?void 0:_a2._prefixes)===null||_b===void 0)&&_b.has(prefix)||this._prefixes&&!this._prefixes.has(prefix))throw new Error(`CodeGen: prefix "${prefix}" is not allowed in this scope`);return this._names[prefix]={prefix,index:0}}}
+exports.Scope=Scope;class ValueScopeName extends code_1.Name{constructor(prefix,nameStr){super(nameStr),this.prefix=prefix}setValue(value,{property,itemIndex}){this.value=value,this.scopePath=(0,code_1._)`.${new code_1.Name(property)}[${itemIndex}]`}}exports.ValueScopeName=ValueScopeName;const line=(0,code_1._)`\n`;class ValueScope extends Scope{constructor(opts){super(opts),this._values={},this._scope=opts.scope,this.opts={...opts,_n:opts.lines?line:code_1.nil}}get(){return this._scope}name(prefix){
+return new ValueScopeName(prefix,this._newName(prefix))}value(nameOrPrefix,value){var _a2;if(value.ref===void 0)throw new Error("CodeGen: ref must be passed in value");const name=this.toName(nameOrPrefix),{prefix}=name,valueKey=(_a2=value.key)!==null&&_a2!==void 0?_a2:value.ref;let vs=this._values[prefix];if(vs){const _name=vs.get(valueKey);if(_name)return _name}else vs=this._values[prefix]=new Map;vs.set(valueKey,name);const s2=this._scope[prefix]||(this._scope[prefix]=[]),itemIndex=s2.length;return s2[itemIndex]=
+value.ref,name.setValue(value,{property:prefix,itemIndex}),name}getValue(prefix,keyOrRef){const vs=this._values[prefix];if(vs)return vs.get(keyOrRef)}scopeRefs(scopeName,values=this._values){return this._reduceValues(values,name=>{if(name.scopePath===void 0)throw new Error(`CodeGen: name "${name}" has no value`);return(0,code_1._)`${scopeName}${name.scopePath}`})}scopeCode(values=this._values,usedValues,getCode){return this._reduceValues(values,name=>{if(name.value===void 0)throw new Error(`Code\
+Gen: name "${name}" has no value`);return name.value.code},usedValues,getCode)}_reduceValues(values,valueCode,usedValues={},getCode){let code2=code_1.nil;for(const prefix in values){const vs=values[prefix];if(!vs)continue;const nameSet=usedValues[prefix]=usedValues[prefix]||new Map;vs.forEach(name=>{if(nameSet.has(name))return;nameSet.set(name,UsedValueState.Started);let c2=valueCode(name);if(c2){const def=this.opts.es5?exports.varKinds.var:exports.varKinds.const;code2=(0,code_1._)`${code2}${def} ${name} = ${c2};${this.
+opts._n}`}else if(c2=getCode?.(name))code2=(0,code_1._)`${code2}${c2}${this.opts._n}`;else throw new ValueError(name);nameSet.set(name,UsedValueState.Completed)})}return code2}}exports.ValueScope=ValueScope}(scope$1)),scope$1}var hasRequiredCodegen$1;function requireCodegen$1(){return hasRequiredCodegen$1||(hasRequiredCodegen$1=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.or=exports.and=exports.not=exports.CodeGen=exports.operators=exports.varKinds=exports.ValueScopeName=
+exports.ValueScope=exports.Scope=exports.Name=exports.regexpCode=exports.stringify=exports.getProperty=exports.nil=exports.strConcat=exports.str=exports._=void 0;const code_1=requireCode$3(),scope_1=requireScope$1();var code_2=requireCode$3();Object.defineProperty(exports,"_",{enumerable:!0,get:function(){return code_2._}}),Object.defineProperty(exports,"str",{enumerable:!0,get:function(){return code_2.str}}),Object.defineProperty(exports,"strConcat",{enumerable:!0,get:function(){return code_2.strConcat}}),
+Object.defineProperty(exports,"nil",{enumerable:!0,get:function(){return code_2.nil}}),Object.defineProperty(exports,"getProperty",{enumerable:!0,get:function(){return code_2.getProperty}}),Object.defineProperty(exports,"stringify",{enumerable:!0,get:function(){return code_2.stringify}}),Object.defineProperty(exports,"regexpCode",{enumerable:!0,get:function(){return code_2.regexpCode}}),Object.defineProperty(exports,"Name",{enumerable:!0,get:function(){return code_2.Name}});var scope_2=requireScope$1();
+Object.defineProperty(exports,"Scope",{enumerable:!0,get:function(){return scope_2.Scope}}),Object.defineProperty(exports,"ValueScope",{enumerable:!0,get:function(){return scope_2.ValueScope}}),Object.defineProperty(exports,"ValueScopeName",{enumerable:!0,get:function(){return scope_2.ValueScopeName}}),Object.defineProperty(exports,"varKinds",{enumerable:!0,get:function(){return scope_2.varKinds}}),exports.operators={GT:new code_1._Code(">"),GTE:new code_1._Code(">="),LT:new code_1._Code("<"),LTE:new code_1.
+_Code("<="),EQ:new code_1._Code("==="),NEQ:new code_1._Code("!=="),NOT:new code_1._Code("!"),OR:new code_1._Code("||"),AND:new code_1._Code("&&"),ADD:new code_1._Code("+")};class Node2{optimizeNodes(){return this}optimizeNames(_names,_constants){return this}}class Def extends Node2{constructor(varKind,name,rhs){super(),this.varKind=varKind,this.name=name,this.rhs=rhs}render({es5,_n}){const varKind=es5?scope_1.varKinds.var:this.varKind,rhs=this.rhs===void 0?"":` = ${this.rhs}`;return`${varKind} ${this.
+name}${rhs};`+_n}optimizeNames(names2,constants2){if(names2[this.name.str])return this.rhs&&(this.rhs=optimizeExpr(this.rhs,names2,constants2)),this}get names(){return this.rhs instanceof code_1._CodeOrName?this.rhs.names:{}}}class Assign extends Node2{constructor(lhs,rhs,sideEffects){super(),this.lhs=lhs,this.rhs=rhs,this.sideEffects=sideEffects}render({_n}){return`${this.lhs} = ${this.rhs};`+_n}optimizeNames(names2,constants2){if(!(this.lhs instanceof code_1.Name&&!names2[this.lhs.str]&&!this.
+sideEffects))return this.rhs=optimizeExpr(this.rhs,names2,constants2),this}get names(){const names2=this.lhs instanceof code_1.Name?{}:{...this.lhs.names};return addExprNames(names2,this.rhs)}}class AssignOp extends Assign{constructor(lhs,op2,rhs,sideEffects){super(lhs,rhs,sideEffects),this.op=op2}render({_n}){return`${this.lhs} ${this.op}= ${this.rhs};`+_n}}class Label2 extends Node2{constructor(label){super(),this.label=label,this.names={}}render({_n}){return`${this.label}:`+_n}}class Break extends Node2{constructor(label){
+super(),this.label=label,this.names={}}render({_n}){return`break${this.label?` ${this.label}`:""};`+_n}}class Throw extends Node2{constructor(error2){super(),this.error=error2}render({_n}){return`throw ${this.error};`+_n}get names(){return this.error.names}}class AnyCode extends Node2{constructor(code2){super(),this.code=code2}render({_n}){return`${this.code};`+_n}optimizeNodes(){return`${this.code}`?this:void 0}optimizeNames(names2,constants2){return this.code=optimizeExpr(this.code,names2,constants2),
+this}get names(){return this.code instanceof code_1._CodeOrName?this.code.names:{}}}class ParentNode extends Node2{constructor(nodes2=[]){super(),this.nodes=nodes2}render(opts){return this.nodes.reduce((code2,n)=>code2+n.render(opts),"")}optimizeNodes(){const{nodes:nodes2}=this;let i=nodes2.length;for(;i--;){const n=nodes2[i].optimizeNodes();Array.isArray(n)?nodes2.splice(i,1,...n):n?nodes2[i]=n:nodes2.splice(i,1)}return nodes2.length>0?this:void 0}optimizeNames(names2,constants2){const{nodes:nodes2}=this;
+let i=nodes2.length;for(;i--;){const n=nodes2[i];n.optimizeNames(names2,constants2)||(subtractNames(names2,n.names),nodes2.splice(i,1))}return nodes2.length>0?this:void 0}get names(){return this.nodes.reduce((names2,n)=>addNames(names2,n.names),{})}}class BlockNode extends ParentNode{render(opts){return"{"+opts._n+super.render(opts)+"}"+opts._n}}class Root2 extends ParentNode{}class Else extends BlockNode{}Else.kind="else";class If extends BlockNode{constructor(condition,nodes2){super(nodes2),this.
+condition=condition}render(opts){let code2=`if(${this.condition})`+super.render(opts);return this.else&&(code2+="else "+this.else.render(opts)),code2}optimizeNodes(){super.optimizeNodes();const cond=this.condition;if(cond===!0)return this.nodes;let e=this.else;if(e){const ns=e.optimizeNodes();e=this.else=Array.isArray(ns)?new Else(ns):ns}if(e)return cond===!1?e instanceof If?e:e.nodes:this.nodes.length?this:new If(not2(cond),e instanceof If?[e]:e.nodes);if(!(cond===!1||!this.nodes.length))return this}optimizeNames(names2,constants2){
+var _a2;if(this.else=(_a2=this.else)===null||_a2===void 0?void 0:_a2.optimizeNames(names2,constants2),!!(super.optimizeNames(names2,constants2)||this.else))return this.condition=optimizeExpr(this.condition,names2,constants2),this}get names(){const names2=super.names;return addExprNames(names2,this.condition),this.else&&addNames(names2,this.else.names),names2}}If.kind="if";class For extends BlockNode{}For.kind="for";class ForLoop extends For{constructor(iteration){super(),this.iteration=iteration}render(opts){
+return`for(${this.iteration})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.iteration=optimizeExpr(this.iteration,names2,constants2),this}get names(){return addNames(super.names,this.iteration.names)}}class ForRange extends For{constructor(varKind,name,from,to){super(),this.varKind=varKind,this.name=name,this.from=from,this.to=to}render(opts){const varKind=opts.es5?scope_1.varKinds.var:this.varKind,{name,from,to}=this;return`for(${varKind}\
+ ${name}=${from}; ${name}<${to}; ${name}++)`+super.render(opts)}get names(){const names2=addExprNames(super.names,this.from);return addExprNames(names2,this.to)}}class ForIter extends For{constructor(loop2,varKind,name,iterable){super(),this.loop=loop2,this.varKind=varKind,this.name=name,this.iterable=iterable}render(opts){return`for(${this.varKind} ${this.name} ${this.loop} ${this.iterable})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.
+iterable=optimizeExpr(this.iterable,names2,constants2),this}get names(){return addNames(super.names,this.iterable.names)}}class Func extends BlockNode{constructor(name,args,async){super(),this.name=name,this.args=args,this.async=async}render(opts){return`${this.async?"async ":""}function ${this.name}(${this.args})`+super.render(opts)}}Func.kind="func";class Return extends ParentNode{render(opts){return"return "+super.render(opts)}}Return.kind="return";class Try extends BlockNode{render(opts){let code2="\
+try"+super.render(opts);return this.catch&&(code2+=this.catch.render(opts)),this.finally&&(code2+=this.finally.render(opts)),code2}optimizeNodes(){var _a2,_b;return super.optimizeNodes(),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNodes(),(_b=this.finally)===null||_b===void 0||_b.optimizeNodes(),this}optimizeNames(names2,constants2){var _a2,_b;return super.optimizeNames(names2,constants2),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNames(names2,constants2),(_b=this.finally)===null||
+_b===void 0||_b.optimizeNames(names2,constants2),this}get names(){const names2=super.names;return this.catch&&addNames(names2,this.catch.names),this.finally&&addNames(names2,this.finally.names),names2}}class Catch extends BlockNode{constructor(error2){super(),this.error=error2}render(opts){return`catch(${this.error})`+super.render(opts)}}Catch.kind="catch";class Finally extends BlockNode{render(opts){return"finally"+super.render(opts)}}Finally.kind="finally";class CodeGen{constructor(extScope,opts={}){
+this._values={},this._blockStarts=[],this._constants={},this.opts={...opts,_n:opts.lines?`
+`:""},this._extScope=extScope,this._scope=new scope_1.Scope({parent:extScope}),this._nodes=[new Root2]}toString(){return this._root.render(this.opts)}name(prefix){return this._scope.name(prefix)}scopeName(prefix){return this._extScope.name(prefix)}scopeValue(prefixOrName,value){const name=this._extScope.value(prefixOrName,value);return(this._values[name.prefix]||(this._values[name.prefix]=new Set)).add(name),name}getScopeValue(prefix,keyOrRef){return this._extScope.getValue(prefix,keyOrRef)}scopeRefs(scopeName){
+return this._extScope.scopeRefs(scopeName,this._values)}scopeCode(){return this._extScope.scopeCode(this._values)}_def(varKind,nameOrPrefix,rhs,constant){const name=this._scope.toName(nameOrPrefix);return rhs!==void 0&&constant&&(this._constants[name.str]=rhs),this._leafNode(new Def(varKind,name,rhs)),name}const(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.const,nameOrPrefix,rhs,_constant)}let(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.let,nameOrPrefix,rhs,_constant)}var(nameOrPrefix,rhs,_constant){
+return this._def(scope_1.varKinds.var,nameOrPrefix,rhs,_constant)}assign(lhs,rhs,sideEffects){return this._leafNode(new Assign(lhs,rhs,sideEffects))}add(lhs,rhs){return this._leafNode(new AssignOp(lhs,exports.operators.ADD,rhs))}code(c2){return typeof c2=="function"?c2():c2!==code_1.nil&&this._leafNode(new AnyCode(c2)),this}object(...keyValues){const code2=["{"];for(const[key2,value]of keyValues)code2.length>1&&code2.push(","),code2.push(key2),(key2!==value||this.opts.es5)&&(code2.push(":"),(0,code_1.
+addCodeArg)(code2,value));return code2.push("}"),new code_1._Code(code2)}if(condition,thenBody,elseBody){if(this._blockNode(new If(condition)),thenBody&&elseBody)this.code(thenBody).else().code(elseBody).endIf();else if(thenBody)this.code(thenBody).endIf();else if(elseBody)throw new Error('CodeGen: "else" body without "then" body');return this}elseIf(condition){return this._elseNode(new If(condition))}else(){return this._elseNode(new Else)}endIf(){return this._endBlockNode(If,Else)}_for(node2,forBody){
+return this._blockNode(node2),forBody&&this.code(forBody).endFor(),this}for(iteration,forBody){return this._for(new ForLoop(iteration),forBody)}forRange(nameOrPrefix,from,to,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.let){const name=this._scope.toName(nameOrPrefix);return this._for(new ForRange(varKind,name,from,to),()=>forBody(name))}forOf(nameOrPrefix,iterable,forBody,varKind=scope_1.varKinds.const){const name=this._scope.toName(nameOrPrefix);if(this.opts.es5){const arr=iterable instanceof
+code_1.Name?iterable:this.var("_arr",iterable);return this.forRange("_i",0,(0,code_1._)`${arr}.length`,i=>{this.var(name,(0,code_1._)`${arr}[${i}]`),forBody(name)})}return this._for(new ForIter("of",varKind,name,iterable),()=>forBody(name))}forIn(nameOrPrefix,obj,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.const){if(this.opts.ownProperties)return this.forOf(nameOrPrefix,(0,code_1._)`Object.keys(${obj})`,forBody);const name=this._scope.toName(nameOrPrefix);return this._for(
+new ForIter("in",varKind,name,obj),()=>forBody(name))}endFor(){return this._endBlockNode(For)}label(label){return this._leafNode(new Label2(label))}break(label){return this._leafNode(new Break(label))}return(value){const node2=new Return;if(this._blockNode(node2),this.code(value),node2.nodes.length!==1)throw new Error('CodeGen: "return" should have one node');return this._endBlockNode(Return)}try(tryBody,catchCode,finallyCode){if(!catchCode&&!finallyCode)throw new Error('CodeGen: "try" without "\
+catch" and "finally"');const node2=new Try;if(this._blockNode(node2),this.code(tryBody),catchCode){const error2=this.name("e");this._currNode=node2.catch=new Catch(error2),catchCode(error2)}return finallyCode&&(this._currNode=node2.finally=new Finally,this.code(finallyCode)),this._endBlockNode(Catch,Finally)}throw(error2){return this._leafNode(new Throw(error2))}block(body2,nodeCount){return this._blockStarts.push(this._nodes.length),body2&&this.code(body2).endBlock(nodeCount),this}endBlock(nodeCount){
+const len=this._blockStarts.pop();if(len===void 0)throw new Error("CodeGen: not in self-balancing block");const toClose=this._nodes.length-len;if(toClose<0||nodeCount!==void 0&&toClose!==nodeCount)throw new Error(`CodeGen: wrong number of nodes: ${toClose} vs ${nodeCount} expected`);return this._nodes.length=len,this}func(name,args=code_1.nil,async,funcBody){return this._blockNode(new Func(name,args,async)),funcBody&&this.code(funcBody).endFunc(),this}endFunc(){return this._endBlockNode(Func)}optimize(n=1){
+for(;n-- >0;)this._root.optimizeNodes(),this._root.optimizeNames(this._root.names,this._constants)}_leafNode(node2){return this._currNode.nodes.push(node2),this}_blockNode(node2){this._currNode.nodes.push(node2),this._nodes.push(node2)}_endBlockNode(N1,N2){const n=this._currNode;if(n instanceof N1||N2&&n instanceof N2)return this._nodes.pop(),this;throw new Error(`CodeGen: not in block "${N2?`${N1.kind}/${N2.kind}`:N1.kind}"`)}_elseNode(node2){const n=this._currNode;if(!(n instanceof If))throw new Error(
+'CodeGen: "else" without "if"');return this._currNode=n.else=node2,this}get _root(){return this._nodes[0]}get _currNode(){const ns=this._nodes;return ns[ns.length-1]}set _currNode(node2){const ns=this._nodes;ns[ns.length-1]=node2}}exports.CodeGen=CodeGen;function addNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)+(from[n]||0);return names2}function addExprNames(names2,from){return from instanceof code_1._CodeOrName?addNames(names2,from.names):names2}function optimizeExpr(expr,names2,constants2){
+if(expr instanceof code_1.Name)return replaceName(expr);if(!canOptimize(expr))return expr;return new code_1._Code(expr._items.reduce((items2,c2)=>(c2 instanceof code_1.Name&&(c2=replaceName(c2)),c2 instanceof code_1._Code?items2.push(...c2._items):items2.push(c2),items2),[]));function replaceName(n){const c2=constants2[n.str];return c2===void 0||names2[n.str]!==1?n:(delete names2[n.str],c2)}function canOptimize(e){return e instanceof code_1._Code&&e._items.some(c2=>c2 instanceof code_1.Name&&names2[c2.
+str]===1&&constants2[c2.str]!==void 0)}}function subtractNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)-(from[n]||0)}function not2(x){return typeof x=="boolean"||typeof x=="number"||x===null?!x:(0,code_1._)`!${par(x)}`}exports.not=not2;const andCode=mappend(exports.operators.AND);function and(...args){return args.reduce(andCode)}exports.and=and;const orCode=mappend(exports.operators.OR);function or(...args){return args.reduce(orCode)}exports.or=or;function mappend(op2){return(x,y)=>x===
+code_1.nil?y:y===code_1.nil?x:(0,code_1._)`${par(x)} ${op2} ${par(y)}`}function par(x){return x instanceof code_1.Name?x:(0,code_1._)`(${x})`}}(codegen$1)),codegen$1}var util$1={},hasRequiredUtil$1;function requireUtil$1(){if(hasRequiredUtil$1)return util$1;hasRequiredUtil$1=1,Object.defineProperty(util$1,"__esModule",{value:!0}),util$1.checkStrictMode=util$1.getErrorPath=util$1.Type=util$1.useFunc=util$1.setEvaluated=util$1.evaluatedPropsToName=util$1.mergeEvaluated=util$1.eachItem=util$1.unescapeJsonPointer=
+util$1.escapeJsonPointer=util$1.escapeFragment=util$1.unescapeFragment=util$1.schemaRefOrVal=util$1.schemaHasRulesButRef=util$1.schemaHasRules=util$1.checkUnknownRules=util$1.alwaysValidSchema=util$1.toHash=void 0;const codegen_1=requireCodegen$1(),code_1=requireCode$3();function toHash(arr){const hash2={};for(const item of arr)hash2[item]=!0;return hash2}util$1.toHash=toHash;function alwaysValidSchema(it,schema){return typeof schema=="boolean"?schema:Object.keys(schema).length===0?!0:(checkUnknownRules(
+it,schema),!schemaHasRules(schema,it.self.RULES.all))}util$1.alwaysValidSchema=alwaysValidSchema;function checkUnknownRules(it,schema=it.schema){const{opts,self:self2}=it;if(!opts.strictSchema||typeof schema=="boolean")return;const rules2=self2.RULES.keywords;for(const key2 in schema)rules2[key2]||checkStrictMode(it,`unknown keyword: "${key2}"`)}util$1.checkUnknownRules=checkUnknownRules;function schemaHasRules(schema,rules2){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(rules2[key2])
+return!0;return!1}util$1.schemaHasRules=schemaHasRules;function schemaHasRulesButRef(schema,RULES){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(key2!=="$ref"&&RULES.all[key2])return!0;return!1}util$1.schemaHasRulesButRef=schemaHasRulesButRef;function schemaRefOrVal({topSchemaRef,schemaPath},schema,keyword2,$data){if(!$data){if(typeof schema=="number"||typeof schema=="boolean")return schema;if(typeof schema=="string")return(0,codegen_1._)`${schema}`}return(0,codegen_1._)`${topSchemaRef}${schemaPath}${(0,codegen_1.
+getProperty)(keyword2)}`}util$1.schemaRefOrVal=schemaRefOrVal;function unescapeFragment(str){return unescapeJsonPointer(decodeURIComponent(str))}util$1.unescapeFragment=unescapeFragment;function escapeFragment(str){return encodeURIComponent(escapeJsonPointer(str))}util$1.escapeFragment=escapeFragment;function escapeJsonPointer(str){return typeof str=="number"?`${str}`:str.replace(/~/g,"~0").replace(/\//g,"~1")}util$1.escapeJsonPointer=escapeJsonPointer;function unescapeJsonPointer(str){return str.
+replace(/~1/g,"/").replace(/~0/g,"~")}util$1.unescapeJsonPointer=unescapeJsonPointer;function eachItem(xs,f){if(Array.isArray(xs))for(const x of xs)f(x);else f(xs)}util$1.eachItem=eachItem;function makeMergeEvaluated({mergeNames,mergeToName,mergeValues:mergeValues2,resultToName}){return(gen,from,to,toName)=>{const res=to===void 0?from:to instanceof codegen_1.Name?(from instanceof codegen_1.Name?mergeNames(gen,from,to):mergeToName(gen,from,to),to):from instanceof codegen_1.Name?(mergeToName(gen,to,
+from),from):mergeValues2(from,to);return toName===codegen_1.Name&&!(res instanceof codegen_1.Name)?resultToName(gen,res):res}}util$1.mergeEvaluated={props:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>{gen.if((0,codegen_1._)`${from} === true`,()=>gen.assign(to,!0),()=>gen.assign(to,(0,codegen_1._)`${to} || {}`).code((0,codegen_1._)`Object.assign(${to}, ${from})`))}),mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,
+()=>{from===!0?gen.assign(to,!0):(gen.assign(to,(0,codegen_1._)`${to} || {}`),setEvaluated(gen,to,from))}),mergeValues:(from,to)=>from===!0?!0:{...from,...to},resultToName:evaluatedPropsToName}),items:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>gen.assign(to,(0,codegen_1._)`${from} === true ? true : ${to} > ${from} ? ${to} : ${from}`)),mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,()=>gen.assign(to,from===!0?
+!0:(0,codegen_1._)`${to} > ${from} ? ${to} : ${from}`)),mergeValues:(from,to)=>from===!0?!0:Math.max(from,to),resultToName:(gen,items2)=>gen.var("items",items2)})};function evaluatedPropsToName(gen,ps){if(ps===!0)return gen.var("props",!0);const props=gen.var("props",(0,codegen_1._)`{}`);return ps!==void 0&&setEvaluated(gen,props,ps),props}util$1.evaluatedPropsToName=evaluatedPropsToName;function setEvaluated(gen,props,ps){Object.keys(ps).forEach(p2=>gen.assign((0,codegen_1._)`${props}${(0,codegen_1.
+getProperty)(p2)}`,!0))}util$1.setEvaluated=setEvaluated;const snippets={};function useFunc(gen,f){return gen.scopeValue("func",{ref:f,code:snippets[f.code]||(snippets[f.code]=new code_1._Code(f.code))})}util$1.useFunc=useFunc;var Type;(function(Type2){Type2[Type2.Num=0]="Num",Type2[Type2.Str=1]="Str"})(Type||(util$1.Type=Type={}));function getErrorPath(dataProp,dataPropType,jsPropertySyntax){if(dataProp instanceof codegen_1.Name){const isNumber2=dataPropType===Type.Num;return jsPropertySyntax?isNumber2?
+(0,codegen_1._)`"[" + ${dataProp} + "]"`:(0,codegen_1._)`"['" + ${dataProp} + "']"`:isNumber2?(0,codegen_1._)`"/" + ${dataProp}`:(0,codegen_1._)`"/" + ${dataProp}.replace(/~/g, "~0").replace(/\\//g, "~1")`}return jsPropertySyntax?(0,codegen_1.getProperty)(dataProp).toString():"/"+escapeJsonPointer(dataProp)}util$1.getErrorPath=getErrorPath;function checkStrictMode(it,msg,mode=it.opts.strictSchema){if(mode){if(msg=`strict mode: ${msg}`,mode===!0)throw new Error(msg);it.self.logger.warn(msg)}}return util$1.
+checkStrictMode=checkStrictMode,util$1}var names$1={},hasRequiredNames$1;function requireNames$1(){if(hasRequiredNames$1)return names$1;hasRequiredNames$1=1,Object.defineProperty(names$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),names2={data:new codegen_1.Name("data"),valCxt:new codegen_1.Name("valCxt"),instancePath:new codegen_1.Name("instancePath"),parentData:new codegen_1.Name("parentData"),parentDataProperty:new codegen_1.Name("parentDataProperty"),rootData:new codegen_1.Name(
+"rootData"),dynamicAnchors:new codegen_1.Name("dynamicAnchors"),vErrors:new codegen_1.Name("vErrors"),errors:new codegen_1.Name("errors"),this:new codegen_1.Name("this"),self:new codegen_1.Name("self"),scope:new codegen_1.Name("scope"),json:new codegen_1.Name("json"),jsonPos:new codegen_1.Name("jsonPos"),jsonLen:new codegen_1.Name("jsonLen"),jsonPart:new codegen_1.Name("jsonPart")};return names$1.default=names2,names$1}var hasRequiredErrors$1;function requireErrors$1(){return hasRequiredErrors$1||
+(hasRequiredErrors$1=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.extendErrors=exports.resetErrorsCount=exports.reportExtraError=exports.reportError=exports.keyword$DataError=exports.keywordError=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),names_1=requireNames$1();exports.keywordError={message:({keyword:keyword2})=>(0,codegen_1.str)`must pass "${keyword2}" keyword validation`},exports.keyword$DataError={message:({keyword:keyword2,schemaType})=>schemaType?
+(0,codegen_1.str)`"${keyword2}" keyword must be ${schemaType} ($data)`:(0,codegen_1.str)`"${keyword2}" keyword is invalid ($data)`};function reportError(cxt,error2=exports.keywordError,errorPaths,overrideAllErrors){const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(cxt,error2,errorPaths);overrideAllErrors??(compositeRule||allErrors)?addError(gen,errObj):returnErrors(it,(0,codegen_1._)`[${errObj}]`)}exports.reportError=reportError;function reportExtraError(cxt,error2=exports.keywordError,errorPaths){
+const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(cxt,error2,errorPaths);addError(gen,errObj),compositeRule||allErrors||returnErrors(it,names_1.default.vErrors)}exports.reportExtraError=reportExtraError;function resetErrorsCount(gen,errsCount){gen.assign(names_1.default.errors,errsCount),gen.if((0,codegen_1._)`${names_1.default.vErrors} !== null`,()=>gen.if(errsCount,()=>gen.assign((0,codegen_1._)`${names_1.default.vErrors}.length`,errsCount),()=>gen.assign(names_1.default.vErrors,
+null)))}exports.resetErrorsCount=resetErrorsCount;function extendErrors({gen,keyword:keyword2,schemaValue,data,errsCount,it}){if(errsCount===void 0)throw new Error("ajv implementation error");const err=gen.name("err");gen.forRange("i",errsCount,names_1.default.errors,i=>{gen.const(err,(0,codegen_1._)`${names_1.default.vErrors}[${i}]`),gen.if((0,codegen_1._)`${err}.instancePath === undefined`,()=>gen.assign((0,codegen_1._)`${err}.instancePath`,(0,codegen_1.strConcat)(names_1.default.instancePath,
+it.errorPath))),gen.assign((0,codegen_1._)`${err}.schemaPath`,(0,codegen_1.str)`${it.errSchemaPath}/${keyword2}`),it.opts.verbose&&(gen.assign((0,codegen_1._)`${err}.schema`,schemaValue),gen.assign((0,codegen_1._)`${err}.data`,data))})}exports.extendErrors=extendErrors;function addError(gen,errObj){const err=gen.const("err",errObj);gen.if((0,codegen_1._)`${names_1.default.vErrors} === null`,()=>gen.assign(names_1.default.vErrors,(0,codegen_1._)`[${err}]`),(0,codegen_1._)`${names_1.default.vErrors}.push(${err})`),
+gen.code((0,codegen_1._)`${names_1.default.errors}++`)}function returnErrors(it,errs){const{gen,validateName,schemaEnv}=it;schemaEnv.$async?gen.throw((0,codegen_1._)`new ${it.ValidationError}(${errs})`):(gen.assign((0,codegen_1._)`${validateName}.errors`,errs),gen.return(!1))}const E={keyword:new codegen_1.Name("keyword"),schemaPath:new codegen_1.Name("schemaPath"),params:new codegen_1.Name("params"),propertyName:new codegen_1.Name("propertyName"),message:new codegen_1.Name("message"),schema:new codegen_1.
+Name("schema"),parentSchema:new codegen_1.Name("parentSchema")};function errorObjectCode(cxt,error2,errorPaths){const{createErrors}=cxt.it;return createErrors===!1?(0,codegen_1._)`{}`:errorObject(cxt,error2,errorPaths)}function errorObject(cxt,error2,errorPaths={}){const{gen,it}=cxt,keyValues=[errorInstancePath(it,errorPaths),errorSchemaPath(cxt,errorPaths)];return extraErrorProps(cxt,error2,keyValues),gen.object(...keyValues)}function errorInstancePath({errorPath},{instancePath}){const instPath=instancePath?
+(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(instancePath,util_1.Type.Str)}`:errorPath;return[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,instPath)]}function errorSchemaPath({keyword:keyword2,it:{errSchemaPath}},{schemaPath,parentSchema}){let schPath=parentSchema?errSchemaPath:(0,codegen_1.str)`${errSchemaPath}/${keyword2}`;return schemaPath&&(schPath=(0,codegen_1.str)`${schPath}${(0,util_1.getErrorPath)(schemaPath,util_1.Type.Str)}`),[E.schemaPath,
+schPath]}function extraErrorProps(cxt,{params,message},keyValues){const{keyword:keyword2,data,schemaValue,it}=cxt,{opts,propertyName,topSchemaRef,schemaPath}=it;keyValues.push([E.keyword,keyword2],[E.params,typeof params=="function"?params(cxt):params||(0,codegen_1._)`{}`]),opts.messages&&keyValues.push([E.message,typeof message=="function"?message(cxt):message]),opts.verbose&&keyValues.push([E.schema,schemaValue],[E.parentSchema,(0,codegen_1._)`${topSchemaRef}${schemaPath}`],[names_1.default.data,
+data]),propertyName&&keyValues.push([E.propertyName,propertyName])}}(errors$1)),errors$1}var hasRequiredBoolSchema$1;function requireBoolSchema$1(){if(hasRequiredBoolSchema$1)return boolSchema$1;hasRequiredBoolSchema$1=1,Object.defineProperty(boolSchema$1,"__esModule",{value:!0}),boolSchema$1.boolOrEmptySchema=boolSchema$1.topBoolOrEmptySchema=void 0;const errors_1=requireErrors$1(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),boolError={message:"boolean schema is false"};function topBoolOrEmptySchema(it){
+const{gen,schema,validateName}=it;schema===!1?falseSchemaError(it,!1):typeof schema=="object"&&schema.$async===!0?gen.return(names_1.default.data):(gen.assign((0,codegen_1._)`${validateName}.errors`,null),gen.return(!0))}boolSchema$1.topBoolOrEmptySchema=topBoolOrEmptySchema;function boolOrEmptySchema(it,valid2){const{gen,schema}=it;schema===!1?(gen.var(valid2,!1),falseSchemaError(it)):gen.var(valid2,!0)}boolSchema$1.boolOrEmptySchema=boolOrEmptySchema;function falseSchemaError(it,overrideAllErrors){
+const{gen,data}=it,cxt={gen,keyword:"false schema",data,schema:!1,schemaCode:!1,schemaValue:!1,params:{},it};(0,errors_1.reportError)(cxt,boolError,void 0,overrideAllErrors)}return boolSchema$1}var dataType$1={},rules$1={},hasRequiredRules$1;function requireRules$1(){if(hasRequiredRules$1)return rules$1;hasRequiredRules$1=1,Object.defineProperty(rules$1,"__esModule",{value:!0}),rules$1.getRules=rules$1.isJSONType=void 0;const _jsonTypes=["string","number","integer","boolean","null","object","arr\
+ay"],jsonTypes=new Set(_jsonTypes);function isJSONType(x){return typeof x=="string"&&jsonTypes.has(x)}rules$1.isJSONType=isJSONType;function getRules(){const groups={number:{type:"number",rules:[]},string:{type:"string",rules:[]},array:{type:"array",rules:[]},object:{type:"object",rules:[]}};return{types:{...groups,integer:!0,boolean:!0,null:!0},rules:[{rules:[]},groups.number,groups.string,groups.array,groups.object],post:{rules:[]},all:{},keywords:{}}}return rules$1.getRules=getRules,rules$1}var applicability$1={},
+hasRequiredApplicability$1;function requireApplicability$1(){if(hasRequiredApplicability$1)return applicability$1;hasRequiredApplicability$1=1,Object.defineProperty(applicability$1,"__esModule",{value:!0}),applicability$1.shouldUseRule=applicability$1.shouldUseGroup=applicability$1.schemaHasRulesForType=void 0;function schemaHasRulesForType({schema,self:self2},type2){const group=self2.RULES.types[type2];return group&&group!==!0&&shouldUseGroup(schema,group)}applicability$1.schemaHasRulesForType=
+schemaHasRulesForType;function shouldUseGroup(schema,group){return group.rules.some(rule=>shouldUseRule(schema,rule))}applicability$1.shouldUseGroup=shouldUseGroup;function shouldUseRule(schema,rule){var _a2;return schema[rule.keyword]!==void 0||((_a2=rule.definition.implements)===null||_a2===void 0?void 0:_a2.some(kwd=>schema[kwd]!==void 0))}return applicability$1.shouldUseRule=shouldUseRule,applicability$1}var hasRequiredDataType$1;function requireDataType$1(){if(hasRequiredDataType$1)return dataType$1;
+hasRequiredDataType$1=1,Object.defineProperty(dataType$1,"__esModule",{value:!0}),dataType$1.reportTypeError=dataType$1.checkDataTypes=dataType$1.checkDataType=dataType$1.coerceAndCheckDataType=dataType$1.getJSONTypes=dataType$1.getSchemaTypes=dataType$1.DataType=void 0;const rules_1=requireRules$1(),applicability_1=requireApplicability$1(),errors_1=requireErrors$1(),codegen_1=requireCodegen$1(),util_1=requireUtil$1();var DataType;(function(DataType2){DataType2[DataType2.Correct=0]="Correct",DataType2[DataType2.
+Wrong=1]="Wrong"})(DataType||(dataType$1.DataType=DataType={}));function getSchemaTypes(schema){const types2=getJSONTypes(schema.type);if(types2.includes("null")){if(schema.nullable===!1)throw new Error("type: null contradicts nullable: false")}else{if(!types2.length&&schema.nullable!==void 0)throw new Error('"nullable" cannot be used without "type"');schema.nullable===!0&&types2.push("null")}return types2}dataType$1.getSchemaTypes=getSchemaTypes;function getJSONTypes(ts){const types2=Array.isArray(
+ts)?ts:ts?[ts]:[];if(types2.every(rules_1.isJSONType))return types2;throw new Error("type must be JSONType or JSONType[]: "+types2.join(","))}dataType$1.getJSONTypes=getJSONTypes;function coerceAndCheckDataType(it,types2){const{gen,data,opts}=it,coerceTo=coerceToTypes(types2,opts.coerceTypes),checkTypes=types2.length>0&&!(coerceTo.length===0&&types2.length===1&&(0,applicability_1.schemaHasRulesForType)(it,types2[0]));if(checkTypes){const wrongType=checkDataTypes(types2,data,opts.strictNumbers,DataType.
+Wrong);gen.if(wrongType,()=>{coerceTo.length?coerceData(it,types2,coerceTo):reportTypeError(it)})}return checkTypes}dataType$1.coerceAndCheckDataType=coerceAndCheckDataType;const COERCIBLE=new Set(["string","number","integer","boolean","null"]);function coerceToTypes(types2,coerceTypes){return coerceTypes?types2.filter(t=>COERCIBLE.has(t)||coerceTypes==="array"&&t==="array"):[]}function coerceData(it,types2,coerceTo){const{gen,data,opts}=it,dataType2=gen.let("dataType",(0,codegen_1._)`typeof ${data}`),
+coerced=gen.let("coerced",(0,codegen_1._)`undefined`);opts.coerceTypes==="array"&&gen.if((0,codegen_1._)`${dataType2} == 'object' && Array.isArray(${data}) && ${data}.length == 1`,()=>gen.assign(data,(0,codegen_1._)`${data}[0]`).assign(dataType2,(0,codegen_1._)`typeof ${data}`).if(checkDataTypes(types2,data,opts.strictNumbers),()=>gen.assign(coerced,data))),gen.if((0,codegen_1._)`${coerced} !== undefined`);for(const t of coerceTo)(COERCIBLE.has(t)||t==="array"&&opts.coerceTypes==="array")&&coerceSpecificType(
+t);gen.else(),reportTypeError(it),gen.endIf(),gen.if((0,codegen_1._)`${coerced} !== undefined`,()=>{gen.assign(data,coerced),assignParentData(it,coerced)});function coerceSpecificType(t){switch(t){case"string":gen.elseIf((0,codegen_1._)`${dataType2} == "number" || ${dataType2} == "boolean"`).assign(coerced,(0,codegen_1._)`"" + ${data}`).elseIf((0,codegen_1._)`${data} === null`).assign(coerced,(0,codegen_1._)`""`);return;case"number":gen.elseIf((0,codegen_1._)`${dataType2} == "boolean" || ${data} === null
+              || (${dataType2} == "string" && ${data} && ${data} == +${data})`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"integer":gen.elseIf((0,codegen_1._)`${dataType2} === "boolean" || ${data} === null
+              || (${dataType2} === "string" && ${data} && ${data} == +${data} && !(${data} % 1))`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"boolean":gen.elseIf((0,codegen_1._)`${data} === "false" || ${data} === 0 || ${data} === null`).assign(coerced,!1).elseIf((0,codegen_1._)`${data} === "true" || ${data} === 1`).assign(coerced,!0);return;case"null":gen.elseIf((0,codegen_1._)`${data} === "" || ${data} === 0 || ${data} === false`),gen.assign(coerced,null);return;case"array":gen.elseIf(
+(0,codegen_1._)`${dataType2} === "string" || ${dataType2} === "number"
+              || ${dataType2} === "boolean" || ${data} === null`).assign(coerced,(0,codegen_1._)`[${data}]`)}}}function assignParentData({gen,parentData,parentDataProperty},expr){gen.if((0,codegen_1._)`${parentData} !== undefined`,()=>gen.assign((0,codegen_1._)`${parentData}[${parentDataProperty}]`,expr))}function checkDataType(dataType2,data,strictNums,correct=DataType.Correct){const EQ=correct===DataType.Correct?codegen_1.operators.EQ:codegen_1.operators.NEQ;let cond;switch(dataType2){case"nul\
+l":return(0,codegen_1._)`${data} ${EQ} null`;case"array":cond=(0,codegen_1._)`Array.isArray(${data})`;break;case"object":cond=(0,codegen_1._)`${data} && typeof ${data} == "object" && !Array.isArray(${data})`;break;case"integer":cond=numCond((0,codegen_1._)`!(${data} % 1) && !isNaN(${data})`);break;case"number":cond=numCond();break;default:return(0,codegen_1._)`typeof ${data} ${EQ} ${dataType2}`}return correct===DataType.Correct?cond:(0,codegen_1.not)(cond);function numCond(_cond=codegen_1.nil){return(0,codegen_1.
+and)((0,codegen_1._)`typeof ${data} == "number"`,_cond,strictNums?(0,codegen_1._)`isFinite(${data})`:codegen_1.nil)}}dataType$1.checkDataType=checkDataType;function checkDataTypes(dataTypes,data,strictNums,correct){if(dataTypes.length===1)return checkDataType(dataTypes[0],data,strictNums,correct);let cond;const types2=(0,util_1.toHash)(dataTypes);if(types2.array&&types2.object){const notObj=(0,codegen_1._)`typeof ${data} != "object"`;cond=types2.null?notObj:(0,codegen_1._)`!${data} || ${notObj}`,
+delete types2.null,delete types2.array,delete types2.object}else cond=codegen_1.nil;types2.number&&delete types2.integer;for(const t in types2)cond=(0,codegen_1.and)(cond,checkDataType(t,data,strictNums,correct));return cond}dataType$1.checkDataTypes=checkDataTypes;const typeError={message:({schema})=>`must be ${schema}`,params:({schema,schemaValue})=>typeof schema=="string"?(0,codegen_1._)`{type: ${schema}}`:(0,codegen_1._)`{type: ${schemaValue}}`};function reportTypeError(it){const cxt=getTypeErrorContext(
+it);(0,errors_1.reportError)(cxt,typeError)}dataType$1.reportTypeError=reportTypeError;function getTypeErrorContext(it){const{gen,data,schema}=it,schemaCode=(0,util_1.schemaRefOrVal)(it,schema,"type");return{gen,keyword:"type",data,schema:schema.type,schemaCode,schemaValue:schemaCode,parentSchema:schema,params:{},it}}return dataType$1}var defaults$1={},hasRequiredDefaults$1;function requireDefaults$1(){if(hasRequiredDefaults$1)return defaults$1;hasRequiredDefaults$1=1,Object.defineProperty(defaults$1,
+"__esModule",{value:!0}),defaults$1.assignDefaults=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1();function assignDefaults(it,ty){const{properties:properties2,items:items2}=it.schema;if(ty==="object"&&properties2)for(const key2 in properties2)assignDefault(it,key2,properties2[key2].default);else ty==="array"&&Array.isArray(items2)&&items2.forEach((sch,i)=>assignDefault(it,i,sch.default))}defaults$1.assignDefaults=assignDefaults;function assignDefault(it,prop2,defaultValue){const{
+gen,compositeRule,data,opts}=it;if(defaultValue===void 0)return;const childData=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(prop2)}`;if(compositeRule){(0,util_1.checkStrictMode)(it,`default is ignored for: ${childData}`);return}let condition=(0,codegen_1._)`${childData} === undefined`;opts.useDefaults==="empty"&&(condition=(0,codegen_1._)`${condition} || ${childData} === null || ${childData} === ""`),gen.if(condition,(0,codegen_1._)`${childData} = ${(0,codegen_1.stringify)(defaultValue)}`)}
+return defaults$1}var keyword$1={},code$5={},hasRequiredCode$2;function requireCode$2(){if(hasRequiredCode$2)return code$5;hasRequiredCode$2=1,Object.defineProperty(code$5,"__esModule",{value:!0}),code$5.validateUnion=code$5.validateArray=code$5.usePattern=code$5.callValidateCode=code$5.schemaProperties=code$5.allSchemaProperties=code$5.noPropertyInData=code$5.propertyInData=code$5.isOwnProperty=code$5.hasPropFunc=code$5.reportMissingProp=code$5.checkMissingProp=code$5.checkReportMissingProp=void 0;
+const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),names_1=requireNames$1(),util_2=requireUtil$1();function checkReportMissingProp(cxt,prop2){const{gen,data,it}=cxt;gen.if(noPropertyInData(gen,data,prop2,it.opts.ownProperties),()=>{cxt.setParams({missingProperty:(0,codegen_1._)`${prop2}`},!0),cxt.error()})}code$5.checkReportMissingProp=checkReportMissingProp;function checkMissingProp({gen,data,it:{opts}},properties2,missing){return(0,codegen_1.or)(...properties2.map(prop2=>(0,codegen_1.and)(
+noPropertyInData(gen,data,prop2,opts.ownProperties),(0,codegen_1._)`${missing} = ${prop2}`)))}code$5.checkMissingProp=checkMissingProp;function reportMissingProp(cxt,missing){cxt.setParams({missingProperty:missing},!0),cxt.error()}code$5.reportMissingProp=reportMissingProp;function hasPropFunc(gen){return gen.scopeValue("func",{ref:Object.prototype.hasOwnProperty,code:(0,codegen_1._)`Object.prototype.hasOwnProperty`})}code$5.hasPropFunc=hasPropFunc;function isOwnProperty(gen,data,property){return(0,codegen_1.
+_)`${hasPropFunc(gen)}.call(${data}, ${property})`}code$5.isOwnProperty=isOwnProperty;function propertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} !== undefined`;return ownProperties?(0,codegen_1._)`${cond} && ${isOwnProperty(gen,data,property)}`:cond}code$5.propertyInData=propertyInData;function noPropertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} === undefined`;
+return ownProperties?(0,codegen_1.or)(cond,(0,codegen_1.not)(isOwnProperty(gen,data,property))):cond}code$5.noPropertyInData=noPropertyInData;function allSchemaProperties(schemaMap){return schemaMap?Object.keys(schemaMap).filter(p2=>p2!=="__proto__"):[]}code$5.allSchemaProperties=allSchemaProperties;function schemaProperties(it,schemaMap){return allSchemaProperties(schemaMap).filter(p2=>!(0,util_1.alwaysValidSchema)(it,schemaMap[p2]))}code$5.schemaProperties=schemaProperties;function callValidateCode({
+schemaCode,data,it:{gen,topSchemaRef,schemaPath,errorPath},it},func,context,passSchema){const dataAndSchema=passSchema?(0,codegen_1._)`${schemaCode}, ${data}, ${topSchemaRef}${schemaPath}`:data,valCxt=[[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,errorPath)],[names_1.default.parentData,it.parentData],[names_1.default.parentDataProperty,it.parentDataProperty],[names_1.default.rootData,names_1.default.rootData]];it.opts.dynamicRef&&valCxt.push([names_1.default.
+dynamicAnchors,names_1.default.dynamicAnchors]);const args=(0,codegen_1._)`${dataAndSchema}, ${gen.object(...valCxt)}`;return context!==codegen_1.nil?(0,codegen_1._)`${func}.call(${context}, ${args})`:(0,codegen_1._)`${func}(${args})`}code$5.callValidateCode=callValidateCode;const newRegExp=(0,codegen_1._)`new RegExp`;function usePattern({gen,it:{opts}},pattern2){const u=opts.unicodeRegExp?"u":"",{regExp}=opts.code,rx=regExp(pattern2,u);return gen.scopeValue("pattern",{key:rx.toString(),ref:rx,code:(0,codegen_1.
+_)`${regExp.code==="new RegExp"?newRegExp:(0,util_2.useFunc)(gen,regExp)}(${pattern2}, ${u})`})}code$5.usePattern=usePattern;function validateArray(cxt){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");if(it.allErrors){const validArr=gen.let("valid",!0);return validateItems(()=>gen.assign(validArr,!1)),validArr}return gen.var(valid2,!0),validateItems(()=>gen.break()),valid2;function validateItems(notValid){const len=gen.const("len",(0,codegen_1._)`${data}.length`);gen.forRange("i",
+0,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.Type.Num},valid2),gen.if((0,codegen_1.not)(valid2),notValid)})}}code$5.validateArray=validateArray;function validateUnion(cxt){const{gen,schema,keyword:keyword2,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(schema.some(sch=>(0,util_1.alwaysValidSchema)(it,sch))&&!it.opts.unevaluated)return;const valid2=gen.let("valid",!1),schValid=gen.name("_valid");gen.block(()=>schema.forEach((_sch,i)=>{
+const schCxt=cxt.subschema({keyword:keyword2,schemaProp:i,compositeRule:!0},schValid);gen.assign(valid2,(0,codegen_1._)`${valid2} || ${schValid}`),cxt.mergeValidEvaluated(schCxt,schValid)||gen.if((0,codegen_1.not)(valid2))})),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(!0))}return code$5.validateUnion=validateUnion,code$5}var hasRequiredKeyword$1;function requireKeyword$1(){if(hasRequiredKeyword$1)return keyword$1;hasRequiredKeyword$1=1,Object.defineProperty(keyword$1,"__esModule",{value:!0}),
+keyword$1.validateKeywordUsage=keyword$1.validSchemaType=keyword$1.funcKeywordCode=keyword$1.macroKeywordCode=void 0;const codegen_1=requireCodegen$1(),names_1=requireNames$1(),code_1=requireCode$2(),errors_1=requireErrors$1();function macroKeywordCode(cxt,def){const{gen,keyword:keyword2,schema,parentSchema,it}=cxt,macroSchema=def.macro.call(it.self,schema,parentSchema,it),schemaRef=useKeyword(gen,keyword2,macroSchema);it.opts.validateSchema!==!1&&it.self.validateSchema(macroSchema,!0);const valid2=gen.
+name("valid");cxt.subschema({schema:macroSchema,schemaPath:codegen_1.nil,errSchemaPath:`${it.errSchemaPath}/${keyword2}`,topSchemaRef:schemaRef,compositeRule:!0},valid2),cxt.pass(valid2,()=>cxt.error(!0))}keyword$1.macroKeywordCode=macroKeywordCode;function funcKeywordCode(cxt,def){var _a2;const{gen,keyword:keyword2,schema,parentSchema,$data,it}=cxt;checkAsyncKeyword(it,def);const validate2=!$data&&def.compile?def.compile.call(it.self,schema,parentSchema,it):def.validate,validateRef=useKeyword(gen,
+keyword2,validate2),valid2=gen.let("valid");cxt.block$data(valid2,validateKeyword),cxt.ok((_a2=def.valid)!==null&&_a2!==void 0?_a2:valid2);function validateKeyword(){if(def.errors===!1)assignValid(),def.modifying&&modifyData(cxt),reportErrs(()=>cxt.error());else{const ruleErrs=def.async?validateAsync():validateSync();def.modifying&&modifyData(cxt),reportErrs(()=>addErrs(cxt,ruleErrs))}}function validateAsync(){const ruleErrs=gen.let("ruleErrs",null);return gen.try(()=>assignValid((0,codegen_1._)`await `),
+e=>gen.assign(valid2,!1).if((0,codegen_1._)`${e} instanceof ${it.ValidationError}`,()=>gen.assign(ruleErrs,(0,codegen_1._)`${e}.errors`),()=>gen.throw(e))),ruleErrs}function validateSync(){const validateErrs=(0,codegen_1._)`${validateRef}.errors`;return gen.assign(validateErrs,null),assignValid(codegen_1.nil),validateErrs}function assignValid(_await=def.async?(0,codegen_1._)`await `:codegen_1.nil){const passCxt=it.opts.passContext?names_1.default.this:names_1.default.self,passSchema=!("compile"in
+def&&!$data||def.schema===!1);gen.assign(valid2,(0,codegen_1._)`${_await}${(0,code_1.callValidateCode)(cxt,validateRef,passCxt,passSchema)}`,def.modifying)}function reportErrs(errors2){var _a3;gen.if((0,codegen_1.not)((_a3=def.valid)!==null&&_a3!==void 0?_a3:valid2),errors2)}}keyword$1.funcKeywordCode=funcKeywordCode;function modifyData(cxt){const{gen,data,it}=cxt;gen.if(it.parentData,()=>gen.assign(data,(0,codegen_1._)`${it.parentData}[${it.parentDataProperty}]`))}function addErrs(cxt,errs){const{
+gen}=cxt;gen.if((0,codegen_1._)`Array.isArray(${errs})`,()=>{gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`).assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`),(0,errors_1.extendErrors)(cxt)},()=>cxt.error())}function checkAsyncKeyword({schemaEnv},def){if(def.async&&!schemaEnv.$async)throw new Error("async keyword in sync schema")}function useKeyword(gen,keyword2,result){
+if(result===void 0)throw new Error(`keyword "${keyword2}" failed to compile`);return gen.scopeValue("keyword",typeof result=="function"?{ref:result}:{ref:result,code:(0,codegen_1.stringify)(result)})}function validSchemaType(schema,schemaType,allowUndefined=!1){return!schemaType.length||schemaType.some(st=>st==="array"?Array.isArray(schema):st==="object"?schema&&typeof schema=="object"&&!Array.isArray(schema):typeof schema==st||allowUndefined&&typeof schema>"u")}keyword$1.validSchemaType=validSchemaType;
+function validateKeywordUsage({schema,opts,self:self2,errSchemaPath},def,keyword2){if(Array.isArray(def.keyword)?!def.keyword.includes(keyword2):def.keyword!==keyword2)throw new Error("ajv implementation error");const deps=def.dependencies;if(deps?.some(kwd=>!Object.prototype.hasOwnProperty.call(schema,kwd)))throw new Error(`parent schema must have dependencies of ${keyword2}: ${deps.join(",")}`);if(def.validateSchema&&!def.validateSchema(schema[keyword2])){const msg=`keyword "${keyword2}" value\
+ is invalid at path "${errSchemaPath}": `+self2.errorsText(def.validateSchema.errors);if(opts.validateSchema==="log")self2.logger.error(msg);else throw new Error(msg)}}return keyword$1.validateKeywordUsage=validateKeywordUsage,keyword$1}var subschema$1={},hasRequiredSubschema$1;function requireSubschema$1(){if(hasRequiredSubschema$1)return subschema$1;hasRequiredSubschema$1=1,Object.defineProperty(subschema$1,"__esModule",{value:!0}),subschema$1.extendSubschemaMode=subschema$1.extendSubschemaData=
+subschema$1.getSubschema=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1();function getSubschema(it,{keyword:keyword2,schemaProp,schema,schemaPath,errSchemaPath,topSchemaRef}){if(keyword2!==void 0&&schema!==void 0)throw new Error('both "keyword" and "schema" passed, only one allowed');if(keyword2!==void 0){const sch=it.schema[keyword2];return schemaProp===void 0?{schema:sch,schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}`,errSchemaPath:`${it.errSchemaPath}\
+/${keyword2}`}:{schema:sch[schemaProp],schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}${(0,codegen_1.getProperty)(schemaProp)}`,errSchemaPath:`${it.errSchemaPath}/${keyword2}/${(0,util_1.escapeFragment)(schemaProp)}`}}if(schema!==void 0){if(schemaPath===void 0||errSchemaPath===void 0||topSchemaRef===void 0)throw new Error('"schemaPath", "errSchemaPath" and "topSchemaRef" are required with "schema"');return{schema,schemaPath,topSchemaRef,errSchemaPath}}throw new Error(
+'either "keyword" or "schema" must be passed')}subschema$1.getSubschema=getSubschema;function extendSubschemaData(subschema2,it,{dataProp,dataPropType:dpType,data,dataTypes,propertyName}){if(data!==void 0&&dataProp!==void 0)throw new Error('both "data" and "dataProp" passed, only one allowed');const{gen}=it;if(dataProp!==void 0){const{errorPath,dataPathArr,opts}=it,nextData=gen.let("data",(0,codegen_1._)`${it.data}${(0,codegen_1.getProperty)(dataProp)}`,!0);dataContextProps(nextData),subschema2.
+errorPath=(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(dataProp,dpType,opts.jsPropertySyntax)}`,subschema2.parentDataProperty=(0,codegen_1._)`${dataProp}`,subschema2.dataPathArr=[...dataPathArr,subschema2.parentDataProperty]}if(data!==void 0){const nextData=data instanceof codegen_1.Name?data:gen.let("data",data,!0);dataContextProps(nextData),propertyName!==void 0&&(subschema2.propertyName=propertyName)}dataTypes&&(subschema2.dataTypes=dataTypes);function dataContextProps(_nextData){subschema2.
+data=_nextData,subschema2.dataLevel=it.dataLevel+1,subschema2.dataTypes=[],it.definedProperties=new Set,subschema2.parentData=it.data,subschema2.dataNames=[...it.dataNames,_nextData]}}subschema$1.extendSubschemaData=extendSubschemaData;function extendSubschemaMode(subschema2,{jtdDiscriminator,jtdMetadata,compositeRule,createErrors,allErrors}){compositeRule!==void 0&&(subschema2.compositeRule=compositeRule),createErrors!==void 0&&(subschema2.createErrors=createErrors),allErrors!==void 0&&(subschema2.
+allErrors=allErrors),subschema2.jtdDiscriminator=jtdDiscriminator,subschema2.jtdMetadata=jtdMetadata}return subschema$1.extendSubschemaMode=extendSubschemaMode,subschema$1}var resolve$1={},fastDeepEqual,hasRequiredFastDeepEqual;function requireFastDeepEqual(){return hasRequiredFastDeepEqual||(hasRequiredFastDeepEqual=1,fastDeepEqual=function equal2(a,b){if(a===b)return!0;if(a&&b&&typeof a=="object"&&typeof b=="object"){if(a.constructor!==b.constructor)return!1;var length,i,keys2;if(Array.isArray(
+a)){if(length=a.length,length!=b.length)return!1;for(i=length;i--!==0;)if(!equal2(a[i],b[i]))return!1;return!0}if(a.constructor===RegExp)return a.source===b.source&&a.flags===b.flags;if(a.valueOf!==Object.prototype.valueOf)return a.valueOf()===b.valueOf();if(a.toString!==Object.prototype.toString)return a.toString()===b.toString();if(keys2=Object.keys(a),length=keys2.length,length!==Object.keys(b).length)return!1;for(i=length;i--!==0;)if(!Object.prototype.hasOwnProperty.call(b,keys2[i]))return!1;
+for(i=length;i--!==0;){var key2=keys2[i];if(!equal2(a[key2],b[key2]))return!1}return!0}return a!==a&&b!==b}),fastDeepEqual}var jsonSchemaTraverse$1={exports:{}},hasRequiredJsonSchemaTraverse$1;function requireJsonSchemaTraverse$1(){if(hasRequiredJsonSchemaTraverse$1)return jsonSchemaTraverse$1.exports;hasRequiredJsonSchemaTraverse$1=1;var traverse=jsonSchemaTraverse$1.exports=function(schema,opts,cb){typeof opts=="function"&&(cb=opts,opts={}),cb=opts.cb||cb;var pre=typeof cb=="function"?cb:cb.pre||
+function(){},post=cb.post||function(){};_traverse(opts,pre,post,schema,"",schema)};traverse.keywords={additionalItems:!0,items:!0,contains:!0,additionalProperties:!0,propertyNames:!0,not:!0,if:!0,then:!0,else:!0},traverse.arrayKeywords={items:!0,allOf:!0,anyOf:!0,oneOf:!0},traverse.propsKeywords={$defs:!0,definitions:!0,properties:!0,patternProperties:!0,dependencies:!0},traverse.skipKeywords={default:!0,enum:!0,const:!0,required:!0,maximum:!0,minimum:!0,exclusiveMaximum:!0,exclusiveMinimum:!0,multipleOf:!0,
+maxLength:!0,minLength:!0,pattern:!0,format:!0,maxItems:!0,minItems:!0,uniqueItems:!0,maxProperties:!0,minProperties:!0};function _traverse(opts,pre,post,schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex){if(schema&&typeof schema=="object"&&!Array.isArray(schema)){pre(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex);for(var key2 in schema){var sch=schema[key2];if(Array.isArray(sch)){if(key2 in traverse.arrayKeywords)for(var i=0;i<sch.length;i++)
+_traverse(opts,pre,post,sch[i],jsonPtr+"/"+key2+"/"+i,rootSchema,jsonPtr,key2,schema,i)}else if(key2 in traverse.propsKeywords){if(sch&&typeof sch=="object")for(var prop2 in sch)_traverse(opts,pre,post,sch[prop2],jsonPtr+"/"+key2+"/"+escapeJsonPtr(prop2),rootSchema,jsonPtr,key2,schema,prop2)}else(key2 in traverse.keywords||opts.allKeys&&!(key2 in traverse.skipKeywords))&&_traverse(opts,pre,post,sch,jsonPtr+"/"+key2,rootSchema,jsonPtr,key2,schema)}post(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,
+parentSchema,keyIndex)}}function escapeJsonPtr(str){return str.replace(/~/g,"~0").replace(/\//g,"~1")}return jsonSchemaTraverse$1.exports}var hasRequiredResolve$1;function requireResolve$1(){if(hasRequiredResolve$1)return resolve$1;hasRequiredResolve$1=1,Object.defineProperty(resolve$1,"__esModule",{value:!0}),resolve$1.getSchemaRefs=resolve$1.resolveUrl=resolve$1.normalizeId=resolve$1._getFullPath=resolve$1.getFullPath=resolve$1.inlineRef=void 0;const util_1=requireUtil$1(),equal2=requireFastDeepEqual(),
+traverse=requireJsonSchemaTraverse$1(),SIMPLE_INLINED=new Set(["type","format","pattern","maxLength","minLength","maxProperties","minProperties","maxItems","minItems","maximum","minimum","uniqueItems","multipleOf","required","enum","const"]);function inlineRef(schema,limit2=!0){return typeof schema=="boolean"?!0:limit2===!0?!hasRef(schema):limit2?countKeys(schema)<=limit2:!1}resolve$1.inlineRef=inlineRef;const REF_KEYWORDS=new Set(["$ref","$recursiveRef","$recursiveAnchor","$dynamicRef","$dynami\
+cAnchor"]);function hasRef(schema){for(const key2 in schema){if(REF_KEYWORDS.has(key2))return!0;const sch=schema[key2];if(Array.isArray(sch)&&sch.some(hasRef)||typeof sch=="object"&&hasRef(sch))return!0}return!1}function countKeys(schema){let count=0;for(const key2 in schema){if(key2==="$ref")return 1/0;if(count++,!SIMPLE_INLINED.has(key2)&&(typeof schema[key2]=="object"&&(0,util_1.eachItem)(schema[key2],sch=>count+=countKeys(sch)),count===1/0))return 1/0}return count}function getFullPath(resolver2,id2="",normalize2){
+normalize2!==!1&&(id2=normalizeId(id2));const p2=resolver2.parse(id2);return _getFullPath(resolver2,p2)}resolve$1.getFullPath=getFullPath;function _getFullPath(resolver2,p2){return resolver2.serialize(p2).split("#")[0]+"#"}resolve$1._getFullPath=_getFullPath;const TRAILING_SLASH_HASH=/#\/?$/;function normalizeId(id2){return id2?id2.replace(TRAILING_SLASH_HASH,""):""}resolve$1.normalizeId=normalizeId;function resolveUrl(resolver2,baseId,id2){return id2=normalizeId(id2),resolver2.resolve(baseId,id2)}
+resolve$1.resolveUrl=resolveUrl;const ANCHOR=/^[a-z_][-a-z0-9._]*$/i;function getSchemaRefs(schema,baseId){if(typeof schema=="boolean")return{};const{schemaId,uriResolver}=this.opts,schId=normalizeId(schema[schemaId]||baseId),baseIds={"":schId},pathPrefix=getFullPath(uriResolver,schId,!1),localRefs={},schemaRefs=new Set;return traverse(schema,{allKeys:!0},(sch,jsonPtr,_,parentJsonPtr)=>{if(parentJsonPtr===void 0)return;const fullPath=pathPrefix+jsonPtr;let innerBaseId=baseIds[parentJsonPtr];typeof sch[schemaId]==
+"string"&&(innerBaseId=addRef.call(this,sch[schemaId])),addAnchor.call(this,sch.$anchor),addAnchor.call(this,sch.$dynamicAnchor),baseIds[jsonPtr]=innerBaseId;function addRef(ref2){const _resolve=this.opts.uriResolver.resolve;if(ref2=normalizeId(innerBaseId?_resolve(innerBaseId,ref2):ref2),schemaRefs.has(ref2))throw ambiguos(ref2);schemaRefs.add(ref2);let schOrRef=this.refs[ref2];return typeof schOrRef=="string"&&(schOrRef=this.refs[schOrRef]),typeof schOrRef=="object"?checkAmbiguosRef(sch,schOrRef.
+schema,ref2):ref2!==normalizeId(fullPath)&&(ref2[0]==="#"?(checkAmbiguosRef(sch,localRefs[ref2],ref2),localRefs[ref2]=sch):this.refs[ref2]=fullPath),ref2}function addAnchor(anchor){if(typeof anchor=="string"){if(!ANCHOR.test(anchor))throw new Error(`invalid anchor "${anchor}"`);addRef.call(this,`#${anchor}`)}}}),localRefs;function checkAmbiguosRef(sch1,sch2,ref2){if(sch2!==void 0&&!equal2(sch1,sch2))throw ambiguos(ref2)}function ambiguos(ref2){return new Error(`reference "${ref2}" resolves to mo\
+re than one schema`)}}return resolve$1.getSchemaRefs=getSchemaRefs,resolve$1}var hasRequiredValidate$1;function requireValidate$1(){if(hasRequiredValidate$1)return validate$1;hasRequiredValidate$1=1,Object.defineProperty(validate$1,"__esModule",{value:!0}),validate$1.getData=validate$1.KeywordCxt=validate$1.validateFunctionCode=void 0;const boolSchema_1=requireBoolSchema$1(),dataType_1=requireDataType$1(),applicability_1=requireApplicability$1(),dataType_2=requireDataType$1(),defaults_1=requireDefaults$1(),
+keyword_1=requireKeyword$1(),subschema_1=requireSubschema$1(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),resolve_1=requireResolve$1(),util_1=requireUtil$1(),errors_1=requireErrors$1();function validateFunctionCode(it){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(it))){topSchemaObjCode(it);return}validateFunction(it,()=>(0,boolSchema_1.topBoolOrEmptySchema)(it))}validate$1.validateFunctionCode=validateFunctionCode;function validateFunction({gen,validateName,schema,schemaEnv,
+opts},body2){opts.code.es5?gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${names_1.default.valCxt}`,schemaEnv.$async,()=>{gen.code((0,codegen_1._)`"use strict"; ${funcSourceUrl(schema,opts)}`),destructureValCxtES5(gen,opts),gen.code(body2)}):gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${destructureValCxt(opts)}`,schemaEnv.$async,()=>gen.code(funcSourceUrl(schema,opts)).code(body2))}function destructureValCxt(opts){return(0,codegen_1._)`{${names_1.default.instancePath}="", ${names_1.
+default.parentData}, ${names_1.default.parentDataProperty}, ${names_1.default.rootData}=${names_1.default.data}${opts.dynamicRef?(0,codegen_1._)`, ${names_1.default.dynamicAnchors}={}`:codegen_1.nil}}={}`}function destructureValCxtES5(gen,opts){gen.if(names_1.default.valCxt,()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.instancePath}`),gen.var(names_1.default.parentData,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentData}`),
+gen.var(names_1.default.parentDataProperty,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentDataProperty}`),gen.var(names_1.default.rootData,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.rootData}`),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.dynamicAnchors}`)},()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`""`),gen.var(names_1.default.parentData,(0,codegen_1._)`undefined`),gen.var(names_1.
+default.parentDataProperty,(0,codegen_1._)`undefined`),gen.var(names_1.default.rootData,names_1.default.data),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1._)`{}`)})}function topSchemaObjCode(it){const{schema,opts,gen}=it;validateFunction(it,()=>{opts.$comment&&schema.$comment&&commentKeyword(it),checkNoDefault(it),gen.let(names_1.default.vErrors,null),gen.let(names_1.default.errors,0),opts.unevaluated&&resetEvaluated(it),typeAndKeywords(it),returnResults(it)})}function resetEvaluated(it){
+const{gen,validateName}=it;it.evaluated=gen.const("evaluated",(0,codegen_1._)`${validateName}.evaluated`),gen.if((0,codegen_1._)`${it.evaluated}.dynamicProps`,()=>gen.assign((0,codegen_1._)`${it.evaluated}.props`,(0,codegen_1._)`undefined`)),gen.if((0,codegen_1._)`${it.evaluated}.dynamicItems`,()=>gen.assign((0,codegen_1._)`${it.evaluated}.items`,(0,codegen_1._)`undefined`))}function funcSourceUrl(schema,opts){const schId=typeof schema=="object"&&schema[opts.schemaId];return schId&&(opts.code.source||
+opts.code.process)?(0,codegen_1._)`/*# sourceURL=${schId} */`:codegen_1.nil}function subschemaCode(it,valid2){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(it))){subSchemaObjCode(it,valid2);return}(0,boolSchema_1.boolOrEmptySchema)(it,valid2)}function schemaCxtHasRules({schema,self:self2}){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(self2.RULES.all[key2])return!0;return!1}function isSchemaObj(it){return typeof it.schema!="boolean"}function subSchemaObjCode(it,valid2){
+const{schema,gen,opts}=it;opts.$comment&&schema.$comment&&commentKeyword(it),updateContext(it),checkAsyncSchema(it);const errsCount=gen.const("_errs",names_1.default.errors);typeAndKeywords(it,errsCount),gen.var(valid2,(0,codegen_1._)`${errsCount} === ${names_1.default.errors}`)}function checkKeywords(it){(0,util_1.checkUnknownRules)(it),checkRefsAndKeywords(it)}function typeAndKeywords(it,errsCount){if(it.opts.jtd)return schemaKeywords(it,[],!1,errsCount);const types2=(0,dataType_1.getSchemaTypes)(
+it.schema),checkedTypes=(0,dataType_1.coerceAndCheckDataType)(it,types2);schemaKeywords(it,types2,!checkedTypes,errsCount)}function checkRefsAndKeywords(it){const{schema,errSchemaPath,opts,self:self2}=it;schema.$ref&&opts.ignoreKeywordsWithRef&&(0,util_1.schemaHasRulesButRef)(schema,self2.RULES)&&self2.logger.warn(`$ref: keywords ignored in schema at path "${errSchemaPath}"`)}function checkNoDefault(it){const{schema,opts}=it;schema.default!==void 0&&opts.useDefaults&&opts.strictSchema&&(0,util_1.
+checkStrictMode)(it,"default is ignored in the schema root")}function updateContext(it){const schId=it.schema[it.opts.schemaId];schId&&(it.baseId=(0,resolve_1.resolveUrl)(it.opts.uriResolver,it.baseId,schId))}function checkAsyncSchema(it){if(it.schema.$async&&!it.schemaEnv.$async)throw new Error("async schema in sync schema")}function commentKeyword({gen,schemaEnv,schema,errSchemaPath,opts}){const msg=schema.$comment;if(opts.$comment===!0)gen.code((0,codegen_1._)`${names_1.default.self}.logger.log(${msg})`);else if(typeof opts.
+$comment=="function"){const schemaPath=(0,codegen_1.str)`${errSchemaPath}/$comment`,rootName=gen.scopeValue("root",{ref:schemaEnv.root});gen.code((0,codegen_1._)`${names_1.default.self}.opts.$comment(${msg}, ${schemaPath}, ${rootName}.schema)`)}}function returnResults(it){const{gen,schemaEnv,validateName,ValidationError,opts}=it;schemaEnv.$async?gen.if((0,codegen_1._)`${names_1.default.errors} === 0`,()=>gen.return(names_1.default.data),()=>gen.throw((0,codegen_1._)`new ${ValidationError}(${names_1.
+default.vErrors})`)):(gen.assign((0,codegen_1._)`${validateName}.errors`,names_1.default.vErrors),opts.unevaluated&&assignEvaluated(it),gen.return((0,codegen_1._)`${names_1.default.errors} === 0`))}function assignEvaluated({gen,evaluated,props,items:items2}){props instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.props`,props),items2 instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.items`,items2)}function schemaKeywords(it,types2,typeErrors,errsCount){const{gen,
+schema,data,allErrors,opts,self:self2}=it,{RULES}=self2;if(schema.$ref&&(opts.ignoreKeywordsWithRef||!(0,util_1.schemaHasRulesButRef)(schema,RULES))){gen.block(()=>keywordCode(it,"$ref",RULES.all.$ref.definition));return}opts.jtd||checkStrictTypes(it,types2),gen.block(()=>{for(const group of RULES.rules)groupKeywords(group);groupKeywords(RULES.post)});function groupKeywords(group){(0,applicability_1.shouldUseGroup)(schema,group)&&(group.type?(gen.if((0,dataType_2.checkDataType)(group.type,data,opts.
+strictNumbers)),iterateKeywords(it,group),types2.length===1&&types2[0]===group.type&&typeErrors&&(gen.else(),(0,dataType_2.reportTypeError)(it)),gen.endIf()):iterateKeywords(it,group),allErrors||gen.if((0,codegen_1._)`${names_1.default.errors} === ${errsCount||0}`))}}function iterateKeywords(it,group){const{gen,schema,opts:{useDefaults}}=it;useDefaults&&(0,defaults_1.assignDefaults)(it,group.type),gen.block(()=>{for(const rule of group.rules)(0,applicability_1.shouldUseRule)(schema,rule)&&keywordCode(
+it,rule.keyword,rule.definition,group.type)})}function checkStrictTypes(it,types2){it.schemaEnv.meta||!it.opts.strictTypes||(checkContextTypes(it,types2),it.opts.allowUnionTypes||checkMultipleTypes(it,types2),checkKeywordTypes(it,it.dataTypes))}function checkContextTypes(it,types2){if(types2.length){if(!it.dataTypes.length){it.dataTypes=types2;return}types2.forEach(t=>{includesType(it.dataTypes,t)||strictTypesError(it,`type "${t}" not allowed by context "${it.dataTypes.join(",")}"`)}),narrowSchemaTypes(
+it,types2)}}function checkMultipleTypes(it,ts){ts.length>1&&!(ts.length===2&&ts.includes("null"))&&strictTypesError(it,"use allowUnionTypes to allow union type keyword")}function checkKeywordTypes(it,ts){const rules2=it.self.RULES.all;for(const keyword2 in rules2){const rule=rules2[keyword2];if(typeof rule=="object"&&(0,applicability_1.shouldUseRule)(it.schema,rule)){const{type:type2}=rule.definition;type2.length&&!type2.some(t=>hasApplicableType(ts,t))&&strictTypesError(it,`missing type "${type2.
+join(",")}" for keyword "${keyword2}"`)}}}function hasApplicableType(schTs,kwdT){return schTs.includes(kwdT)||kwdT==="number"&&schTs.includes("integer")}function includesType(ts,t){return ts.includes(t)||t==="integer"&&ts.includes("number")}function narrowSchemaTypes(it,withTypes){const ts=[];for(const t of it.dataTypes)includesType(withTypes,t)?ts.push(t):withTypes.includes("integer")&&t==="number"&&ts.push("integer");it.dataTypes=ts}function strictTypesError(it,msg){const schemaPath=it.schemaEnv.
+baseId+it.errSchemaPath;msg+=` at "${schemaPath}" (strictTypes)`,(0,util_1.checkStrictMode)(it,msg,it.opts.strictTypes)}class KeywordCxt{constructor(it,def,keyword2){if((0,keyword_1.validateKeywordUsage)(it,def,keyword2),this.gen=it.gen,this.allErrors=it.allErrors,this.keyword=keyword2,this.data=it.data,this.schema=it.schema[keyword2],this.$data=def.$data&&it.opts.$data&&this.schema&&this.schema.$data,this.schemaValue=(0,util_1.schemaRefOrVal)(it,this.schema,keyword2,this.$data),this.schemaType=
+def.schemaType,this.parentSchema=it.schema,this.params={},this.it=it,this.def=def,this.$data)this.schemaCode=it.gen.const("vSchema",getData(this.$data,it));else if(this.schemaCode=this.schemaValue,!(0,keyword_1.validSchemaType)(this.schema,def.schemaType,def.allowUndefined))throw new Error(`${keyword2} value must be ${JSON.stringify(def.schemaType)}`);("code"in def?def.trackErrors:def.errors!==!1)&&(this.errsCount=it.gen.const("_errs",names_1.default.errors))}result(condition,successAction,failAction){
+this.failResult((0,codegen_1.not)(condition),successAction,failAction)}failResult(condition,successAction,failAction){this.gen.if(condition),failAction?failAction():this.error(),successAction?(this.gen.else(),successAction(),this.allErrors&&this.gen.endIf()):this.allErrors?this.gen.endIf():this.gen.else()}pass(condition,failAction){this.failResult((0,codegen_1.not)(condition),void 0,failAction)}fail(condition){if(condition===void 0){this.error(),this.allErrors||this.gen.if(!1);return}this.gen.if(
+condition),this.error(),this.allErrors?this.gen.endIf():this.gen.else()}fail$data(condition){if(!this.$data)return this.fail(condition);const{schemaCode}=this;this.fail((0,codegen_1._)`${schemaCode} !== undefined && (${(0,codegen_1.or)(this.invalid$data(),condition)})`)}error(append2,errorParams,errorPaths){if(errorParams){this.setParams(errorParams),this._error(append2,errorPaths),this.setParams({});return}this._error(append2,errorPaths)}_error(append2,errorPaths){(append2?errors_1.reportExtraError:
+errors_1.reportError)(this,this.def.error,errorPaths)}$dataError(){(0,errors_1.reportError)(this,this.def.$dataError||errors_1.keyword$DataError)}reset(){if(this.errsCount===void 0)throw new Error('add "trackErrors" to keyword definition');(0,errors_1.resetErrorsCount)(this.gen,this.errsCount)}ok(cond){this.allErrors||this.gen.if(cond)}setParams(obj,assign){assign?Object.assign(this.params,obj):this.params=obj}block$data(valid2,codeBlock,$dataValid=codegen_1.nil){this.gen.block(()=>{this.check$data(
+valid2,$dataValid),codeBlock()})}check$data(valid2=codegen_1.nil,$dataValid=codegen_1.nil){if(!this.$data)return;const{gen,schemaCode,schemaType,def}=this;gen.if((0,codegen_1.or)((0,codegen_1._)`${schemaCode} === undefined`,$dataValid)),valid2!==codegen_1.nil&&gen.assign(valid2,!0),(schemaType.length||def.validateSchema)&&(gen.elseIf(this.invalid$data()),this.$dataError(),valid2!==codegen_1.nil&&gen.assign(valid2,!1)),gen.else()}invalid$data(){const{gen,schemaCode,schemaType,def,it}=this;return(0,codegen_1.
+or)(wrong$DataType(),invalid$DataSchema());function wrong$DataType(){if(schemaType.length){if(!(schemaCode instanceof codegen_1.Name))throw new Error("ajv implementation error");const st=Array.isArray(schemaType)?schemaType:[schemaType];return(0,codegen_1._)`${(0,dataType_2.checkDataTypes)(st,schemaCode,it.opts.strictNumbers,dataType_2.DataType.Wrong)}`}return codegen_1.nil}function invalid$DataSchema(){if(def.validateSchema){const validateSchemaRef=gen.scopeValue("validate$data",{ref:def.validateSchema});
+return(0,codegen_1._)`!${validateSchemaRef}(${schemaCode})`}return codegen_1.nil}}subschema(appl,valid2){const subschema2=(0,subschema_1.getSubschema)(this.it,appl);(0,subschema_1.extendSubschemaData)(subschema2,this.it,appl),(0,subschema_1.extendSubschemaMode)(subschema2,appl);const nextContext={...this.it,...subschema2,items:void 0,props:void 0};return subschemaCode(nextContext,valid2),nextContext}mergeEvaluated(schemaCxt,toName){const{it,gen}=this;it.opts.unevaluated&&(it.props!==!0&&schemaCxt.
+props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schemaCxt.props,it.props,toName)),it.items!==!0&&schemaCxt.items!==void 0&&(it.items=util_1.mergeEvaluated.items(gen,schemaCxt.items,it.items,toName)))}mergeValidEvaluated(schemaCxt,valid2){const{it,gen}=this;if(it.opts.unevaluated&&(it.props!==!0||it.items!==!0))return gen.if(valid2,()=>this.mergeEvaluated(schemaCxt,codegen_1.Name)),!0}}validate$1.KeywordCxt=KeywordCxt;function keywordCode(it,keyword2,def,ruleType){const cxt=new KeywordCxt(
+it,def,keyword2);"code"in def?def.code(cxt,ruleType):cxt.$data&&def.validate?(0,keyword_1.funcKeywordCode)(cxt,def):"macro"in def?(0,keyword_1.macroKeywordCode)(cxt,def):(def.compile||def.validate)&&(0,keyword_1.funcKeywordCode)(cxt,def)}const JSON_POINTER=/^\/(?:[^~]|~0|~1)*$/,RELATIVE_JSON_POINTER=/^([0-9]+)(#|\/(?:[^~]|~0|~1)*)?$/;function getData($data,{dataLevel,dataNames,dataPathArr}){let jsonPointer,data;if($data==="")return names_1.default.rootData;if($data[0]==="/"){if(!JSON_POINTER.test(
+$data))throw new Error(`Invalid JSON-pointer: ${$data}`);jsonPointer=$data,data=names_1.default.rootData}else{const matches2=RELATIVE_JSON_POINTER.exec($data);if(!matches2)throw new Error(`Invalid JSON-pointer: ${$data}`);const up=+matches2[1];if(jsonPointer=matches2[2],jsonPointer==="#"){if(up>=dataLevel)throw new Error(errorMsg("property/index",up));return dataPathArr[dataLevel-up]}if(up>dataLevel)throw new Error(errorMsg("data",up));if(data=dataNames[dataLevel-up],!jsonPointer)return data}let expr=data;
+const segments=jsonPointer.split("/");for(const segment of segments)segment&&(data=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)((0,util_1.unescapeJsonPointer)(segment))}`,expr=(0,codegen_1._)`${expr} && ${data}`);return expr;function errorMsg(pointerType,up){return`Cannot access ${pointerType} ${up} levels up, current level is ${dataLevel}`}}return validate$1.getData=getData,validate$1}var validation_error$1={},hasRequiredValidation_error$1;function requireValidation_error$1(){if(hasRequiredValidation_error$1)
+return validation_error$1;hasRequiredValidation_error$1=1,Object.defineProperty(validation_error$1,"__esModule",{value:!0});class ValidationError extends Error{constructor(errors2){super("validation failed"),this.errors=errors2,this.ajv=this.validation=!0}}return validation_error$1.default=ValidationError,validation_error$1}var ref_error$1={},hasRequiredRef_error$1;function requireRef_error$1(){if(hasRequiredRef_error$1)return ref_error$1;hasRequiredRef_error$1=1,Object.defineProperty(ref_error$1,
+"__esModule",{value:!0});const resolve_1=requireResolve$1();class MissingRefError extends Error{constructor(resolver2,baseId,ref2,msg){super(msg||`can't resolve reference ${ref2} from id ${baseId}`),this.missingRef=(0,resolve_1.resolveUrl)(resolver2,baseId,ref2),this.missingSchema=(0,resolve_1.normalizeId)((0,resolve_1.getFullPath)(resolver2,this.missingRef))}}return ref_error$1.default=MissingRefError,ref_error$1}var compile$1={},hasRequiredCompile$1;function requireCompile$1(){if(hasRequiredCompile$1)
+return compile$1;hasRequiredCompile$1=1,Object.defineProperty(compile$1,"__esModule",{value:!0}),compile$1.resolveSchema=compile$1.getCompilingSchema=compile$1.resolveRef=compile$1.compileSchema=compile$1.SchemaEnv=void 0;const codegen_1=requireCodegen$1(),validation_error_1=requireValidation_error$1(),names_1=requireNames$1(),resolve_1=requireResolve$1(),util_1=requireUtil$1(),validate_1=requireValidate$1();class SchemaEnv{constructor(env2){var _a2;this.refs={},this.dynamicAnchors={};let schema;
+typeof env2.schema=="object"&&(schema=env2.schema),this.schema=env2.schema,this.schemaId=env2.schemaId,this.root=env2.root||this,this.baseId=(_a2=env2.baseId)!==null&&_a2!==void 0?_a2:(0,resolve_1.normalizeId)(schema?.[env2.schemaId||"$id"]),this.schemaPath=env2.schemaPath,this.localRefs=env2.localRefs,this.meta=env2.meta,this.$async=schema?.$async,this.refs={}}}compile$1.SchemaEnv=SchemaEnv;function compileSchema(sch){const _sch=getCompilingSchema.call(this,sch);if(_sch)return _sch;const rootId=(0,resolve_1.
+getFullPath)(this.opts.uriResolver,sch.root.baseId),{es5,lines}=this.opts.code,{ownProperties}=this.opts,gen=new codegen_1.CodeGen(this.scope,{es5,lines,ownProperties});let _ValidationError;sch.$async&&(_ValidationError=gen.scopeValue("Error",{ref:validation_error_1.default,code:(0,codegen_1._)`require("ajv/dist/runtime/validation_error").default`}));const validateName=gen.scopeName("validate");sch.validateName=validateName;const schemaCxt={gen,allErrors:this.opts.allErrors,data:names_1.default.
+data,parentData:names_1.default.parentData,parentDataProperty:names_1.default.parentDataProperty,dataNames:[names_1.default.data],dataPathArr:[codegen_1.nil],dataLevel:0,dataTypes:[],definedProperties:new Set,topSchemaRef:gen.scopeValue("schema",this.opts.code.source===!0?{ref:sch.schema,code:(0,codegen_1.stringify)(sch.schema)}:{ref:sch.schema}),validateName,ValidationError:_ValidationError,schema:sch.schema,schemaEnv:sch,rootId,baseId:sch.baseId||rootId,schemaPath:codegen_1.nil,errSchemaPath:sch.
+schemaPath||(this.opts.jtd?"":"#"),errorPath:(0,codegen_1._)`""`,opts:this.opts,self:this};let sourceCode;try{this._compilations.add(sch),(0,validate_1.validateFunctionCode)(schemaCxt),gen.optimize(this.opts.code.optimize);const validateCode=gen.toString();sourceCode=`${gen.scopeRefs(names_1.default.scope)}return ${validateCode}`,this.opts.code.process&&(sourceCode=this.opts.code.process(sourceCode,sch));const validate2=new Function(`${names_1.default.self}`,`${names_1.default.scope}`,sourceCode)(
+this,this.scope.get());if(this.scope.value(validateName,{ref:validate2}),validate2.errors=null,validate2.schema=sch.schema,validate2.schemaEnv=sch,sch.$async&&(validate2.$async=!0),this.opts.code.source===!0&&(validate2.source={validateName,validateCode,scopeValues:gen._values}),this.opts.unevaluated){const{props,items:items2}=schemaCxt;validate2.evaluated={props:props instanceof codegen_1.Name?void 0:props,items:items2 instanceof codegen_1.Name?void 0:items2,dynamicProps:props instanceof codegen_1.
+Name,dynamicItems:items2 instanceof codegen_1.Name},validate2.source&&(validate2.source.evaluated=(0,codegen_1.stringify)(validate2.evaluated))}return sch.validate=validate2,sch}catch(e){throw delete sch.validate,delete sch.validateName,sourceCode&&this.logger.error("Error compiling schema, function code:",sourceCode),e}finally{this._compilations.delete(sch)}}compile$1.compileSchema=compileSchema;function resolveRef(root2,baseId,ref2){var _a2;ref2=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,
+ref2);const schOrFunc=root2.refs[ref2];if(schOrFunc)return schOrFunc;let _sch=resolve2.call(this,root2,ref2);if(_sch===void 0){const schema=(_a2=root2.localRefs)===null||_a2===void 0?void 0:_a2[ref2],{schemaId}=this.opts;schema&&(_sch=new SchemaEnv({schema,schemaId,root:root2,baseId}))}if(_sch!==void 0)return root2.refs[ref2]=inlineOrCompile.call(this,_sch)}compile$1.resolveRef=resolveRef;function inlineOrCompile(sch){return(0,resolve_1.inlineRef)(sch.schema,this.opts.inlineRefs)?sch.schema:sch.
+validate?sch:compileSchema.call(this,sch)}function getCompilingSchema(schEnv){for(const sch of this._compilations)if(sameSchemaEnv(sch,schEnv))return sch}compile$1.getCompilingSchema=getCompilingSchema;function sameSchemaEnv(s1,s2){return s1.schema===s2.schema&&s1.root===s2.root&&s1.baseId===s2.baseId}function resolve2(root2,ref2){let sch;for(;typeof(sch=this.refs[ref2])=="string";)ref2=sch;return sch||this.schemas[ref2]||resolveSchema.call(this,root2,ref2)}function resolveSchema(root2,ref2){const p2=this.
+opts.uriResolver.parse(ref2),refPath=(0,resolve_1._getFullPath)(this.opts.uriResolver,p2);let baseId=(0,resolve_1.getFullPath)(this.opts.uriResolver,root2.baseId,void 0);if(Object.keys(root2.schema).length>0&&refPath===baseId)return getJsonPointer.call(this,p2,root2);const id2=(0,resolve_1.normalizeId)(refPath),schOrRef=this.refs[id2]||this.schemas[id2];if(typeof schOrRef=="string"){const sch=resolveSchema.call(this,root2,schOrRef);return typeof sch?.schema!="object"?void 0:getJsonPointer.call(this,
+p2,sch)}if(typeof schOrRef?.schema=="object"){if(schOrRef.validate||compileSchema.call(this,schOrRef),id2===(0,resolve_1.normalizeId)(ref2)){const{schema}=schOrRef,{schemaId}=this.opts,schId=schema[schemaId];return schId&&(baseId=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schId)),new SchemaEnv({schema,schemaId,root:root2,baseId})}return getJsonPointer.call(this,p2,schOrRef)}}compile$1.resolveSchema=resolveSchema;const PREVENT_SCOPE_CHANGE=new Set(["properties","patternProperties","enu\
+m","dependencies","definitions"]);function getJsonPointer(parsedRef,{baseId,schema,root:root2}){var _a2;if(((_a2=parsedRef.fragment)===null||_a2===void 0?void 0:_a2[0])!=="/")return;for(const part of parsedRef.fragment.slice(1).split("/")){if(typeof schema=="boolean")return;const partSchema=schema[(0,util_1.unescapeFragment)(part)];if(partSchema===void 0)return;schema=partSchema;const schId=typeof schema=="object"&&schema[this.opts.schemaId];!PREVENT_SCOPE_CHANGE.has(part)&&schId&&(baseId=(0,resolve_1.
+resolveUrl)(this.opts.uriResolver,baseId,schId))}let env2;if(typeof schema!="boolean"&&schema.$ref&&!(0,util_1.schemaHasRulesButRef)(schema,this.RULES)){const $ref=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schema.$ref);env2=resolveSchema.call(this,root2,$ref)}const{schemaId}=this.opts;if(env2=env2||new SchemaEnv({schema,schemaId,root:root2,baseId}),env2.schema!==env2.root.schema)return env2}return compile$1}const $id$3="https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/r\
+efs/data.json#",description$1="Meta-schema for $data reference (JSON AnySchema extension proposal)",type$3="object",required$3=["$data"],properties$6={$data:{type:"string",anyOf:[{format:"relative-json-pointer"},{format:"json-pointer"}]}},additionalProperties$3=!1,require$$9$1={$id:$id$3,description:description$1,type:type$3,required:required$3,properties:properties$6,additionalProperties:additionalProperties$3};var uri$1={},fastUri={exports:{}},utils$1,hasRequiredUtils;function requireUtils(){if(hasRequiredUtils)
+return utils$1;hasRequiredUtils=1;const isUUID=RegExp.prototype.test.bind(/^[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12}$/iu),isIPv4=RegExp.prototype.test.bind(/^(?:(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]\d|\d)\.){3}(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]\d|\d)$/u);function stringArrayToHexStripped(input){let acc="",code2=0,i=0;for(i=0;i<input.length;i++)if(code2=input[i].charCodeAt(0),code2!==48){if(!(code2>=48&&code2<=57||code2>=65&&code2<=70||code2>=97&&code2<=102))return"";acc+=input[i];break}for(i+=
+1;i<input.length;i++){if(code2=input[i].charCodeAt(0),!(code2>=48&&code2<=57||code2>=65&&code2<=70||code2>=97&&code2<=102))return"";acc+=input[i]}return acc}const nonSimpleDomain=RegExp.prototype.test.bind(/[^!"$&'()*+,\-.;=_`a-z{}~]/u);function consumeIsZone(buffer){return buffer.length=0,!0}function consumeHextets(buffer,address,output){if(buffer.length){const hex=stringArrayToHexStripped(buffer);if(hex!=="")address.push(hex);else return output.error=!0,!1;buffer.length=0}return!0}function getIPV6(input){
+let tokenCount=0;const output={error:!1,address:"",zone:""},address=[],buffer=[];let endipv6Encountered=!1,endIpv6=!1,consume=consumeHextets;for(let i=0;i<input.length;i++){const cursor=input[i];if(!(cursor==="["||cursor==="]"))if(cursor===":"){if(endipv6Encountered===!0&&(endIpv6=!0),!consume(buffer,address,output))break;if(++tokenCount>7){output.error=!0;break}i>0&&input[i-1]===":"&&(endipv6Encountered=!0),address.push(":");continue}else if(cursor==="%"){if(!consume(buffer,address,output))break;
+consume=consumeIsZone}else{buffer.push(cursor);continue}}return buffer.length&&(consume===consumeIsZone?output.zone=buffer.join(""):endIpv6?address.push(buffer.join("")):address.push(stringArrayToHexStripped(buffer))),output.address=address.join(""),output}function normalizeIPv6(host){if(findToken(host,":")<2)return{host,isIPV6:!1};const ipv62=getIPV6(host);if(ipv62.error)return{host,isIPV6:!1};{let newHost=ipv62.address,escapedHost=ipv62.address;return ipv62.zone&&(newHost+="%"+ipv62.zone,escapedHost+=
+"%25"+ipv62.zone),{host:newHost,isIPV6:!0,escapedHost}}}function findToken(str,token2){let ind=0;for(let i=0;i<str.length;i++)str[i]===token2&&ind++;return ind}function removeDotSegments(path2){let input=path2;const output=[];let nextSlash=-1,len=0;for(;len=input.length;){if(len===1){if(input===".")break;if(input==="/"){output.push("/");break}else{output.push(input);break}}else if(len===2){if(input[0]==="."){if(input[1]===".")break;if(input[1]==="/"){input=input.slice(2);continue}}else if(input[0]===
+"/"&&(input[1]==="."||input[1]==="/")){output.push("/");break}}else if(len===3&&input==="/.."){output.length!==0&&output.pop(),output.push("/");break}if(input[0]==="."){if(input[1]==="."){if(input[2]==="/"){input=input.slice(3);continue}}else if(input[1]==="/"){input=input.slice(2);continue}}else if(input[0]==="/"&&input[1]==="."){if(input[2]==="/"){input=input.slice(2);continue}else if(input[2]==="."&&input[3]==="/"){input=input.slice(3),output.length!==0&&output.pop();continue}}if((nextSlash=input.
+indexOf("/",1))===-1){output.push(input);break}else output.push(input.slice(0,nextSlash)),input=input.slice(nextSlash)}return output.join("")}function normalizeComponentEncoding(component2,esc2){const func=esc2!==!0?escape:unescape;return component2.scheme!==void 0&&(component2.scheme=func(component2.scheme)),component2.userinfo!==void 0&&(component2.userinfo=func(component2.userinfo)),component2.host!==void 0&&(component2.host=func(component2.host)),component2.path!==void 0&&(component2.path=func(
+component2.path)),component2.query!==void 0&&(component2.query=func(component2.query)),component2.fragment!==void 0&&(component2.fragment=func(component2.fragment)),component2}function recomposeAuthority(component2){const uriTokens=[];if(component2.userinfo!==void 0&&(uriTokens.push(component2.userinfo),uriTokens.push("@")),component2.host!==void 0){let host=unescape(component2.host);if(!isIPv4(host)){const ipV6res=normalizeIPv6(host);ipV6res.isIPV6===!0?host=`[${ipV6res.escapedHost}]`:host=component2.
+host}uriTokens.push(host)}return(typeof component2.port=="number"||typeof component2.port=="string")&&(uriTokens.push(":"),uriTokens.push(String(component2.port))),uriTokens.length?uriTokens.join(""):void 0}return utils$1={nonSimpleDomain,recomposeAuthority,normalizeComponentEncoding,removeDotSegments,isIPv4,isUUID,normalizeIPv6,stringArrayToHexStripped},utils$1}var schemes,hasRequiredSchemes;function requireSchemes(){if(hasRequiredSchemes)return schemes;hasRequiredSchemes=1;const{isUUID}=requireUtils(),
+URN_REG=/([\da-z][\d\-a-z]{0,31}):((?:[\w!$'()*+,\-.:;=@]|%[\da-f]{2})+)/iu,supportedSchemeNames=["http","https","ws","wss","urn","urn:uuid"];function isValidSchemeName(name){return supportedSchemeNames.indexOf(name)!==-1}function wsIsSecure(wsComponent){return wsComponent.secure===!0?!0:wsComponent.secure===!1?!1:wsComponent.scheme?wsComponent.scheme.length===3&&(wsComponent.scheme[0]==="w"||wsComponent.scheme[0]==="W")&&(wsComponent.scheme[1]==="s"||wsComponent.scheme[1]==="S")&&(wsComponent.scheme[2]===
+"s"||wsComponent.scheme[2]==="S"):!1}function httpParse(component2){return component2.host||(component2.error=component2.error||"HTTP URIs must have a host."),component2}function httpSerialize(component2){const secure=String(component2.scheme).toLowerCase()==="https";return(component2.port===(secure?443:80)||component2.port==="")&&(component2.port=void 0),component2.path||(component2.path="/"),component2}function wsParse(wsComponent){return wsComponent.secure=wsIsSecure(wsComponent),wsComponent.
+resourceName=(wsComponent.path||"/")+(wsComponent.query?"?"+wsComponent.query:""),wsComponent.path=void 0,wsComponent.query=void 0,wsComponent}function wsSerialize(wsComponent){if((wsComponent.port===(wsIsSecure(wsComponent)?443:80)||wsComponent.port==="")&&(wsComponent.port=void 0),typeof wsComponent.secure=="boolean"&&(wsComponent.scheme=wsComponent.secure?"wss":"ws",wsComponent.secure=void 0),wsComponent.resourceName){const[path2,query]=wsComponent.resourceName.split("?");wsComponent.path=path2&&
+path2!=="/"?path2:void 0,wsComponent.query=query,wsComponent.resourceName=void 0}return wsComponent.fragment=void 0,wsComponent}function urnParse(urnComponent,options){if(!urnComponent.path)return urnComponent.error="URN can not be parsed",urnComponent;const matches2=urnComponent.path.match(URN_REG);if(matches2){const scheme2=options.scheme||urnComponent.scheme||"urn";urnComponent.nid=matches2[1].toLowerCase(),urnComponent.nss=matches2[2];const urnScheme=`${scheme2}:${options.nid||urnComponent.nid}`,
+schemeHandler=getSchemeHandler(urnScheme);urnComponent.path=void 0,schemeHandler&&(urnComponent=schemeHandler.parse(urnComponent,options))}else urnComponent.error=urnComponent.error||"URN can not be parsed.";return urnComponent}function urnSerialize(urnComponent,options){if(urnComponent.nid===void 0)throw new Error("URN without nid cannot be serialized");const scheme2=options.scheme||urnComponent.scheme||"urn",nid=urnComponent.nid.toLowerCase(),urnScheme=`${scheme2}:${options.nid||nid}`,schemeHandler=getSchemeHandler(
+urnScheme);schemeHandler&&(urnComponent=schemeHandler.serialize(urnComponent,options));const uriComponent=urnComponent,nss=urnComponent.nss;return uriComponent.path=`${nid||options.nid}:${nss}`,options.skipEscape=!0,uriComponent}function urnuuidParse(urnComponent,options){const uuidComponent=urnComponent;return uuidComponent.uuid=uuidComponent.nss,uuidComponent.nss=void 0,!options.tolerant&&(!uuidComponent.uuid||!isUUID(uuidComponent.uuid))&&(uuidComponent.error=uuidComponent.error||"UUID is not\
+ valid."),uuidComponent}function urnuuidSerialize(uuidComponent){const urnComponent=uuidComponent;return urnComponent.nss=(uuidComponent.uuid||"").toLowerCase(),urnComponent}const http2={scheme:"http",domainHost:!0,parse:httpParse,serialize:httpSerialize},https={scheme:"https",domainHost:http2.domainHost,parse:httpParse,serialize:httpSerialize},ws={scheme:"ws",domainHost:!0,parse:wsParse,serialize:wsSerialize},wss={scheme:"wss",domainHost:ws.domainHost,parse:ws.parse,serialize:ws.serialize},SCHEMES={
+http:http2,https,ws,wss,urn:{scheme:"urn",parse:urnParse,serialize:urnSerialize,skipNormalize:!0},"urn:uuid":{scheme:"urn:uuid",parse:urnuuidParse,serialize:urnuuidSerialize,skipNormalize:!0}};Object.setPrototypeOf(SCHEMES,null);function getSchemeHandler(scheme2){return scheme2&&(SCHEMES[scheme2]||SCHEMES[scheme2.toLowerCase()])||void 0}return schemes={wsIsSecure,SCHEMES,isValidSchemeName,getSchemeHandler},schemes}var hasRequiredFastUri;function requireFastUri(){if(hasRequiredFastUri)return fastUri.
+exports;hasRequiredFastUri=1;const{normalizeIPv6,removeDotSegments,recomposeAuthority,normalizeComponentEncoding,isIPv4,nonSimpleDomain}=requireUtils(),{SCHEMES,getSchemeHandler}=requireSchemes();function normalize2(uri2,options){return typeof uri2=="string"?uri2=serialize2(parse2(uri2,options),options):typeof uri2=="object"&&(uri2=parse2(serialize2(uri2,options),options)),uri2}function resolve2(baseURI,relativeURI,options){const schemelessOptions=options?Object.assign({scheme:"null"},options):{
+scheme:"null"},resolved=resolveComponent(parse2(baseURI,schemelessOptions),parse2(relativeURI,schemelessOptions),schemelessOptions,!0);return schemelessOptions.skipEscape=!0,serialize2(resolved,schemelessOptions)}function resolveComponent(base2,relative,options,skipNormalization){const target2={};return skipNormalization||(base2=parse2(serialize2(base2,options),options),relative=parse2(serialize2(relative,options),options)),options=options||{},!options.tolerant&&relative.scheme?(target2.scheme=relative.
+scheme,target2.userinfo=relative.userinfo,target2.host=relative.host,target2.port=relative.port,target2.path=removeDotSegments(relative.path||""),target2.query=relative.query):(relative.userinfo!==void 0||relative.host!==void 0||relative.port!==void 0?(target2.userinfo=relative.userinfo,target2.host=relative.host,target2.port=relative.port,target2.path=removeDotSegments(relative.path||""),target2.query=relative.query):(relative.path?(relative.path[0]==="/"?target2.path=removeDotSegments(relative.
+path):((base2.userinfo!==void 0||base2.host!==void 0||base2.port!==void 0)&&!base2.path?target2.path="/"+relative.path:base2.path?target2.path=base2.path.slice(0,base2.path.lastIndexOf("/")+1)+relative.path:target2.path=relative.path,target2.path=removeDotSegments(target2.path)),target2.query=relative.query):(target2.path=base2.path,relative.query!==void 0?target2.query=relative.query:target2.query=base2.query),target2.userinfo=base2.userinfo,target2.host=base2.host,target2.port=base2.port),target2.
+scheme=base2.scheme),target2.fragment=relative.fragment,target2}function equal2(uriA,uriB,options){return typeof uriA=="string"?(uriA=unescape(uriA),uriA=serialize2(normalizeComponentEncoding(parse2(uriA,options),!0),{...options,skipEscape:!0})):typeof uriA=="object"&&(uriA=serialize2(normalizeComponentEncoding(uriA,!0),{...options,skipEscape:!0})),typeof uriB=="string"?(uriB=unescape(uriB),uriB=serialize2(normalizeComponentEncoding(parse2(uriB,options),!0),{...options,skipEscape:!0})):typeof uriB==
+"object"&&(uriB=serialize2(normalizeComponentEncoding(uriB,!0),{...options,skipEscape:!0})),uriA.toLowerCase()===uriB.toLowerCase()}function serialize2(cmpts,opts){const component2={host:cmpts.host,scheme:cmpts.scheme,userinfo:cmpts.userinfo,port:cmpts.port,path:cmpts.path,query:cmpts.query,nid:cmpts.nid,nss:cmpts.nss,uuid:cmpts.uuid,fragment:cmpts.fragment,reference:cmpts.reference,resourceName:cmpts.resourceName,secure:cmpts.secure,error:""},options=Object.assign({},opts),uriTokens=[],schemeHandler=getSchemeHandler(
+options.scheme||component2.scheme);schemeHandler&&schemeHandler.serialize&&schemeHandler.serialize(component2,options),component2.path!==void 0&&(options.skipEscape?component2.path=unescape(component2.path):(component2.path=escape(component2.path),component2.scheme!==void 0&&(component2.path=component2.path.split("%3A").join(":")))),options.reference!=="suffix"&&component2.scheme&&uriTokens.push(component2.scheme,":");const authority=recomposeAuthority(component2);if(authority!==void 0&&(options.
+reference!=="suffix"&&uriTokens.push("//"),uriTokens.push(authority),component2.path&&component2.path[0]!=="/"&&uriTokens.push("/")),component2.path!==void 0){let s2=component2.path;!options.absolutePath&&(!schemeHandler||!schemeHandler.absolutePath)&&(s2=removeDotSegments(s2)),authority===void 0&&s2[0]==="/"&&s2[1]==="/"&&(s2="/%2F"+s2.slice(2)),uriTokens.push(s2)}return component2.query!==void 0&&uriTokens.push("?",component2.query),component2.fragment!==void 0&&uriTokens.push("#",component2.fragment),
+uriTokens.join("")}const URI_PARSE=/^(?:([^#/:?]+):)?(?:\/\/((?:([^#/?@]*)@)?(\[[^#/?\]]+\]|[^#/:?]*)(?::(\d*))?))?([^#?]*)(?:\?([^#]*))?(?:#((?:.|[\n\r])*))?/u;function parse2(uri2,opts){const options=Object.assign({},opts),parsed={scheme:void 0,userinfo:void 0,host:"",port:void 0,path:"",query:void 0,fragment:void 0};let isIP=!1;options.reference==="suffix"&&(options.scheme?uri2=options.scheme+":"+uri2:uri2="//"+uri2);const matches2=uri2.match(URI_PARSE);if(matches2){if(parsed.scheme=matches2[1],
+parsed.userinfo=matches2[3],parsed.host=matches2[4],parsed.port=parseInt(matches2[5],10),parsed.path=matches2[6]||"",parsed.query=matches2[7],parsed.fragment=matches2[8],isNaN(parsed.port)&&(parsed.port=matches2[5]),parsed.host)if(isIPv4(parsed.host)===!1){const ipv6result=normalizeIPv6(parsed.host);parsed.host=ipv6result.host.toLowerCase(),isIP=ipv6result.isIPV6}else isIP=!0;parsed.scheme===void 0&&parsed.userinfo===void 0&&parsed.host===void 0&&parsed.port===void 0&&parsed.query===void 0&&!parsed.
+path?parsed.reference="same-document":parsed.scheme===void 0?parsed.reference="relative":parsed.fragment===void 0?parsed.reference="absolute":parsed.reference="uri",options.reference&&options.reference!=="suffix"&&options.reference!==parsed.reference&&(parsed.error=parsed.error||"URI is not a "+options.reference+" reference.");const schemeHandler=getSchemeHandler(options.scheme||parsed.scheme);if(!options.unicodeSupport&&(!schemeHandler||!schemeHandler.unicodeSupport)&&parsed.host&&(options.domainHost||
+schemeHandler&&schemeHandler.domainHost)&&isIP===!1&&nonSimpleDomain(parsed.host))try{parsed.host=URL.domainToASCII(parsed.host.toLowerCase())}catch(e){parsed.error=parsed.error||"Host's domain name can not be converted to ASCII: "+e}(!schemeHandler||schemeHandler&&!schemeHandler.skipNormalize)&&(uri2.indexOf("%")!==-1&&(parsed.scheme!==void 0&&(parsed.scheme=unescape(parsed.scheme)),parsed.host!==void 0&&(parsed.host=unescape(parsed.host))),parsed.path&&(parsed.path=escape(unescape(parsed.path))),
+parsed.fragment&&(parsed.fragment=encodeURI(decodeURIComponent(parsed.fragment)))),schemeHandler&&schemeHandler.parse&&schemeHandler.parse(parsed,options)}else parsed.error=parsed.error||"URI can not be parsed.";return parsed}const fastUri$1={SCHEMES,normalize:normalize2,resolve:resolve2,resolveComponent,equal:equal2,serialize:serialize2,parse:parse2};return fastUri.exports=fastUri$1,fastUri.exports.default=fastUri$1,fastUri.exports.fastUri=fastUri$1,fastUri.exports}var hasRequiredUri$1;function requireUri$1(){
+if(hasRequiredUri$1)return uri$1;hasRequiredUri$1=1,Object.defineProperty(uri$1,"__esModule",{value:!0});const uri2=requireFastUri();return uri2.code='require("ajv/dist/runtime/uri").default',uri$1.default=uri2,uri$1}var hasRequiredCore$3;function requireCore$3(){return hasRequiredCore$3||(hasRequiredCore$3=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.CodeGen=exports.Name=exports.nil=exports.stringify=exports.str=exports._=exports.KeywordCxt=void 0;var validate_1=requireValidate$1();
+Object.defineProperty(exports,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen$1();Object.defineProperty(exports,"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(exports,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(exports,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),
+Object.defineProperty(exports,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});const validation_error_1=requireValidation_error$1(),ref_error_1=requireRef_error$1(),rules_1=requireRules$1(),compile_1=requireCompile$1(),codegen_2=requireCodegen$1(),resolve_1=requireResolve$1(),dataType_1=requireDataType$1(),util_1=requireUtil$1(),$dataRefSchema=require$$9$1,uri_1=requireUri$1(),defaultRegExp=(str,flags2)=>new RegExp(
+str,flags2);defaultRegExp.code="new RegExp";const META_IGNORE_OPTIONS=["removeAdditional","useDefaults","coerceTypes"],EXT_SCOPE_NAMES=new Set(["validate","serialize","parse","wrapper","root","schema","keyword","pattern","formats","validate$data","func","obj","Error"]),removedOptions={errorDataPath:"",format:"`validateFormats: false` can be used instead.",nullable:'"nullable" keyword is supported by default.',jsonPointers:"Deprecated jsPropertySyntax can be used instead.",extendRefs:"Deprecated \
+ignoreKeywordsWithRef can be used instead.",missingRefs:"Pass empty schema with $id that should be ignored to ajv.addSchema.",processCode:"Use option `code: {process: (code, schemaEnv: object) => string}`",sourceCode:"Use option `code: {source: true}`",strictDefaults:"It is default now, see option `strict`.",strictKeywords:"It is default now, see option `strict`.",uniqueItems:'"uniqueItems" keyword is always validated.',unknownFormats:"Disable strict mode or pass `true` to `ajv.addFormat` (or `f\
+ormats` option).",cache:"Map is used as cache, schema object as key.",serialize:"Map is used as cache, schema object as key.",ajvErrors:"It is default now."},deprecatedOptions={ignoreKeywordsWithRef:"",jsPropertySyntax:"",unicode:'"minLength"/"maxLength" account for unicode characters by default.'},MAX_EXPRESSION=200;function requiredOptions(o){var _a2,_b,_c,_d,_e,_f,_g,_h,_j,_k,_l,_m,_o,_p,_q,_r,_s,_t,_u,_v,_w,_x,_y,_z,_02;const s2=o.strict,_optz=(_a2=o.code)===null||_a2===void 0?void 0:_a2.optimize,
+optimize=_optz===!0||_optz===void 0?1:_optz||0,regExp=(_c=(_b=o.code)===null||_b===void 0?void 0:_b.regExp)!==null&&_c!==void 0?_c:defaultRegExp,uriResolver=(_d=o.uriResolver)!==null&&_d!==void 0?_d:uri_1.default;return{strictSchema:(_f=(_e=o.strictSchema)!==null&&_e!==void 0?_e:s2)!==null&&_f!==void 0?_f:!0,strictNumbers:(_h=(_g=o.strictNumbers)!==null&&_g!==void 0?_g:s2)!==null&&_h!==void 0?_h:!0,strictTypes:(_k=(_j=o.strictTypes)!==null&&_j!==void 0?_j:s2)!==null&&_k!==void 0?_k:"log",strictTuples:(_m=
+(_l=o.strictTuples)!==null&&_l!==void 0?_l:s2)!==null&&_m!==void 0?_m:"log",strictRequired:(_p=(_o=o.strictRequired)!==null&&_o!==void 0?_o:s2)!==null&&_p!==void 0?_p:!1,code:o.code?{...o.code,optimize,regExp}:{optimize,regExp},loopRequired:(_q=o.loopRequired)!==null&&_q!==void 0?_q:MAX_EXPRESSION,loopEnum:(_r=o.loopEnum)!==null&&_r!==void 0?_r:MAX_EXPRESSION,meta:(_s=o.meta)!==null&&_s!==void 0?_s:!0,messages:(_t=o.messages)!==null&&_t!==void 0?_t:!0,inlineRefs:(_u=o.inlineRefs)!==null&&_u!==void 0?
+_u:!0,schemaId:(_v=o.schemaId)!==null&&_v!==void 0?_v:"$id",addUsedSchema:(_w=o.addUsedSchema)!==null&&_w!==void 0?_w:!0,validateSchema:(_x=o.validateSchema)!==null&&_x!==void 0?_x:!0,validateFormats:(_y=o.validateFormats)!==null&&_y!==void 0?_y:!0,unicodeRegExp:(_z=o.unicodeRegExp)!==null&&_z!==void 0?_z:!0,int32range:(_02=o.int32range)!==null&&_02!==void 0?_02:!0,uriResolver}}class Ajv2{constructor(opts={}){this.schemas={},this.refs={},this.formats={},this._compilations=new Set,this._loading={},
+this._cache=new Map,opts=this.opts={...opts,...requiredOptions(opts)};const{es5,lines}=this.opts.code;this.scope=new codegen_2.ValueScope({scope:{},prefixes:EXT_SCOPE_NAMES,es5,lines}),this.logger=getLogger(opts.logger);const formatOpt=opts.validateFormats;opts.validateFormats=!1,this.RULES=(0,rules_1.getRules)(),checkOptions.call(this,removedOptions,opts,"NOT SUPPORTED"),checkOptions.call(this,deprecatedOptions,opts,"DEPRECATED","warn"),this._metaOpts=getMetaSchemaOptions.call(this),opts.formats&&
+addInitialFormats.call(this),this._addVocabularies(),this._addDefaultMetaSchema(),opts.keywords&&addInitialKeywords.call(this,opts.keywords),typeof opts.meta=="object"&&this.addMetaSchema(opts.meta),addInitialSchemas.call(this),opts.validateFormats=formatOpt}_addVocabularies(){this.addKeyword("$async")}_addDefaultMetaSchema(){const{$data,meta,schemaId}=this.opts;let _dataRefSchema=$dataRefSchema;schemaId==="id"&&(_dataRefSchema={...$dataRefSchema},_dataRefSchema.id=_dataRefSchema.$id,delete _dataRefSchema.
+$id),meta&&$data&&this.addMetaSchema(_dataRefSchema,_dataRefSchema[schemaId],!1)}defaultMeta(){const{meta,schemaId}=this.opts;return this.opts.defaultMeta=typeof meta=="object"?meta[schemaId]||meta:void 0}validate(schemaKeyRef,data){let v;if(typeof schemaKeyRef=="string"){if(v=this.getSchema(schemaKeyRef),!v)throw new Error(`no schema with key or ref "${schemaKeyRef}"`)}else v=this.compile(schemaKeyRef);const valid2=v(data);return"$async"in v||(this.errors=v.errors),valid2}compile(schema,_meta){
+const sch=this._addSchema(schema,_meta);return sch.validate||this._compileSchemaEnv(sch)}compileAsync(schema,meta){if(typeof this.opts.loadSchema!="function")throw new Error("options.loadSchema should be a function");const{loadSchema}=this.opts;return runCompileAsync.call(this,schema,meta);async function runCompileAsync(_schema,_meta){await loadMetaSchema.call(this,_schema.$schema);const sch=this._addSchema(_schema,_meta);return sch.validate||_compileAsync.call(this,sch)}async function loadMetaSchema($ref){
+$ref&&!this.getSchema($ref)&&await runCompileAsync.call(this,{$ref},!0)}async function _compileAsync(sch){try{return this._compileSchemaEnv(sch)}catch(e){if(!(e instanceof ref_error_1.default))throw e;return checkLoaded.call(this,e),await loadMissingSchema.call(this,e.missingSchema),_compileAsync.call(this,sch)}}function checkLoaded({missingSchema:ref2,missingRef}){if(this.refs[ref2])throw new Error(`AnySchema ${ref2} is loaded but ${missingRef} cannot be resolved`)}async function loadMissingSchema(ref2){
+const _schema=await _loadSchema.call(this,ref2);this.refs[ref2]||await loadMetaSchema.call(this,_schema.$schema),this.refs[ref2]||this.addSchema(_schema,ref2,meta)}async function _loadSchema(ref2){const p2=this._loading[ref2];if(p2)return p2;try{return await(this._loading[ref2]=loadSchema(ref2))}finally{delete this._loading[ref2]}}}addSchema(schema,key2,_meta,_validateSchema=this.opts.validateSchema){if(Array.isArray(schema)){for(const sch of schema)this.addSchema(sch,void 0,_meta,_validateSchema);
+return this}let id2;if(typeof schema=="object"){const{schemaId}=this.opts;if(id2=schema[schemaId],id2!==void 0&&typeof id2!="string")throw new Error(`schema ${schemaId} must be string`)}return key2=(0,resolve_1.normalizeId)(key2||id2),this._checkUnique(key2),this.schemas[key2]=this._addSchema(schema,_meta,key2,_validateSchema,!0),this}addMetaSchema(schema,key2,_validateSchema=this.opts.validateSchema){return this.addSchema(schema,key2,!0,_validateSchema),this}validateSchema(schema,throwOrLogError){
+if(typeof schema=="boolean")return!0;let $schema2;if($schema2=schema.$schema,$schema2!==void 0&&typeof $schema2!="string")throw new Error("$schema must be a string");if($schema2=$schema2||this.opts.defaultMeta||this.defaultMeta(),!$schema2)return this.logger.warn("meta-schema not available"),this.errors=null,!0;const valid2=this.validate($schema2,schema);if(!valid2&&throwOrLogError){const message="schema is invalid: "+this.errorsText();if(this.opts.validateSchema==="log")this.logger.error(message);else
+throw new Error(message)}return valid2}getSchema(keyRef){let sch;for(;typeof(sch=getSchEnv.call(this,keyRef))=="string";)keyRef=sch;if(sch===void 0){const{schemaId}=this.opts,root2=new compile_1.SchemaEnv({schema:{},schemaId});if(sch=compile_1.resolveSchema.call(this,root2,keyRef),!sch)return;this.refs[keyRef]=sch}return sch.validate||this._compileSchemaEnv(sch)}removeSchema(schemaKeyRef){if(schemaKeyRef instanceof RegExp)return this._removeAllSchemas(this.schemas,schemaKeyRef),this._removeAllSchemas(
+this.refs,schemaKeyRef),this;switch(typeof schemaKeyRef){case"undefined":return this._removeAllSchemas(this.schemas),this._removeAllSchemas(this.refs),this._cache.clear(),this;case"string":{const sch=getSchEnv.call(this,schemaKeyRef);return typeof sch=="object"&&this._cache.delete(sch.schema),delete this.schemas[schemaKeyRef],delete this.refs[schemaKeyRef],this}case"object":{const cacheKey=schemaKeyRef;this._cache.delete(cacheKey);let id2=schemaKeyRef[this.opts.schemaId];return id2&&(id2=(0,resolve_1.
+normalizeId)(id2),delete this.schemas[id2],delete this.refs[id2]),this}default:throw new Error("ajv.removeSchema: invalid parameter")}}addVocabulary(definitions2){for(const def of definitions2)this.addKeyword(def);return this}addKeyword(kwdOrDef,def){let keyword2;if(typeof kwdOrDef=="string")keyword2=kwdOrDef,typeof def=="object"&&(this.logger.warn("these parameters are deprecated, see docs for addKeyword"),def.keyword=keyword2);else if(typeof kwdOrDef=="object"&&def===void 0){if(def=kwdOrDef,keyword2=
+def.keyword,Array.isArray(keyword2)&&!keyword2.length)throw new Error("addKeywords: keyword must be string or non-empty array")}else throw new Error("invalid addKeywords parameters");if(checkKeyword.call(this,keyword2,def),!def)return(0,util_1.eachItem)(keyword2,kwd=>addRule.call(this,kwd)),this;keywordMetaschema.call(this,def);const definition2={...def,type:(0,dataType_1.getJSONTypes)(def.type),schemaType:(0,dataType_1.getJSONTypes)(def.schemaType)};return(0,util_1.eachItem)(keyword2,definition2.
+type.length===0?k=>addRule.call(this,k,definition2):k=>definition2.type.forEach(t=>addRule.call(this,k,definition2,t))),this}getKeyword(keyword2){const rule=this.RULES.all[keyword2];return typeof rule=="object"?rule.definition:!!rule}removeKeyword(keyword2){const{RULES}=this;delete RULES.keywords[keyword2],delete RULES.all[keyword2];for(const group of RULES.rules){const i=group.rules.findIndex(rule=>rule.keyword===keyword2);i>=0&&group.rules.splice(i,1)}return this}addFormat(name,format2){return typeof format2==
+"string"&&(format2=new RegExp(format2)),this.formats[name]=format2,this}errorsText(errors2=this.errors,{separator=", ",dataVar="data"}={}){return!errors2||errors2.length===0?"No errors":errors2.map(e=>`${dataVar}${e.instancePath} ${e.message}`).reduce((text2,msg)=>text2+separator+msg)}$dataMetaSchema(metaSchema,keywordsJsonPointers){const rules2=this.RULES.all;metaSchema=JSON.parse(JSON.stringify(metaSchema));for(const jsonPointer of keywordsJsonPointers){const segments=jsonPointer.split("/").slice(
+1);let keywords2=metaSchema;for(const seg of segments)keywords2=keywords2[seg];for(const key2 in rules2){const rule=rules2[key2];if(typeof rule!="object")continue;const{$data}=rule.definition,schema=keywords2[key2];$data&&schema&&(keywords2[key2]=schemaOrData(schema))}}return metaSchema}_removeAllSchemas(schemas,regex){for(const keyRef in schemas){const sch=schemas[keyRef];(!regex||regex.test(keyRef))&&(typeof sch=="string"?delete schemas[keyRef]:sch&&!sch.meta&&(this._cache.delete(sch.schema),delete schemas[keyRef]))}}_addSchema(schema,meta,baseId,validateSchema=this.
+opts.validateSchema,addSchema=this.opts.addUsedSchema){let id2;const{schemaId}=this.opts;if(typeof schema=="object")id2=schema[schemaId];else{if(this.opts.jtd)throw new Error("schema must be object");if(typeof schema!="boolean")throw new Error("schema must be object or boolean")}let sch=this._cache.get(schema);if(sch!==void 0)return sch;baseId=(0,resolve_1.normalizeId)(id2||baseId);const localRefs=resolve_1.getSchemaRefs.call(this,schema,baseId);return sch=new compile_1.SchemaEnv({schema,schemaId,
+meta,baseId,localRefs}),this._cache.set(sch.schema,sch),addSchema&&!baseId.startsWith("#")&&(baseId&&this._checkUnique(baseId),this.refs[baseId]=sch),validateSchema&&this.validateSchema(schema,!0),sch}_checkUnique(id2){if(this.schemas[id2]||this.refs[id2])throw new Error(`schema with key or id "${id2}" already exists`)}_compileSchemaEnv(sch){if(sch.meta?this._compileMetaSchema(sch):compile_1.compileSchema.call(this,sch),!sch.validate)throw new Error("ajv implementation error");return sch.validate}_compileMetaSchema(sch){
+const currentOpts=this.opts;this.opts=this._metaOpts;try{compile_1.compileSchema.call(this,sch)}finally{this.opts=currentOpts}}}Ajv2.ValidationError=validation_error_1.default,Ajv2.MissingRefError=ref_error_1.default,exports.default=Ajv2;function checkOptions(checkOpts,options,msg,log="error"){for(const key2 in checkOpts){const opt=key2;opt in options&&this.logger[log](`${msg}: option ${key2}. ${checkOpts[opt]}`)}}function getSchEnv(keyRef){return keyRef=(0,resolve_1.normalizeId)(keyRef),this.schemas[keyRef]||
+this.refs[keyRef]}function addInitialSchemas(){const optsSchemas=this.opts.schemas;if(optsSchemas)if(Array.isArray(optsSchemas))this.addSchema(optsSchemas);else for(const key2 in optsSchemas)this.addSchema(optsSchemas[key2],key2)}function addInitialFormats(){for(const name in this.opts.formats){const format2=this.opts.formats[name];format2&&this.addFormat(name,format2)}}function addInitialKeywords(defs){if(Array.isArray(defs)){this.addVocabulary(defs);return}this.logger.warn("keywords option as \
+map is deprecated, pass array");for(const keyword2 in defs){const def=defs[keyword2];def.keyword||(def.keyword=keyword2),this.addKeyword(def)}}function getMetaSchemaOptions(){const metaOpts={...this.opts};for(const opt of META_IGNORE_OPTIONS)delete metaOpts[opt];return metaOpts}const noLogs={log(){},warn(){},error(){}};function getLogger(logger){if(logger===!1)return noLogs;if(logger===void 0)return console;if(logger.log&&logger.warn&&logger.error)return logger;throw new Error("logger must imple\
+ment log, warn and error methods")}const KEYWORD_NAME=/^[a-z_$][a-z0-9_$:-]*$/i;function checkKeyword(keyword2,def){const{RULES}=this;if((0,util_1.eachItem)(keyword2,kwd=>{if(RULES.keywords[kwd])throw new Error(`Keyword ${kwd} is already defined`);if(!KEYWORD_NAME.test(kwd))throw new Error(`Keyword ${kwd} has invalid name`)}),!!def&&def.$data&&!("code"in def||"validate"in def))throw new Error('$data keyword must have "code" or "validate" function')}function addRule(keyword2,definition2,dataType2){
+var _a2;const post=definition2?.post;if(dataType2&&post)throw new Error('keyword with "post" flag cannot have "type"');const{RULES}=this;let ruleGroup=post?RULES.post:RULES.rules.find(({type:t})=>t===dataType2);if(ruleGroup||(ruleGroup={type:dataType2,rules:[]},RULES.rules.push(ruleGroup)),RULES.keywords[keyword2]=!0,!definition2)return;const rule={keyword:keyword2,definition:{...definition2,type:(0,dataType_1.getJSONTypes)(definition2.type),schemaType:(0,dataType_1.getJSONTypes)(definition2.schemaType)}};
+definition2.before?addBeforeRule.call(this,ruleGroup,rule,definition2.before):ruleGroup.rules.push(rule),RULES.all[keyword2]=rule,(_a2=definition2.implements)===null||_a2===void 0||_a2.forEach(kwd=>this.addKeyword(kwd))}function addBeforeRule(ruleGroup,rule,before){const i=ruleGroup.rules.findIndex(_rule=>_rule.keyword===before);i>=0?ruleGroup.rules.splice(i,0,rule):(ruleGroup.rules.push(rule),this.logger.warn(`rule ${before} is not defined`))}function keywordMetaschema(def){let{metaSchema}=def;
+metaSchema!==void 0&&(def.$data&&this.opts.$data&&(metaSchema=schemaOrData(metaSchema)),def.validateSchema=this.compile(metaSchema,!0))}const $dataRef={$ref:"https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#"};function schemaOrData(schema){return{anyOf:[schema,$dataRef]}}}(core$4)),core$4}var draft7$1={},core$3={},id$1={},hasRequiredId$1;function requireId$1(){if(hasRequiredId$1)return id$1;hasRequiredId$1=1,Object.defineProperty(id$1,"__esModule",{value:!0});const def={
+keyword:"id",code(){throw new Error('NOT SUPPORTED: keyword "id", use "$id" for schema ID')}};return id$1.default=def,id$1}var ref$1={},hasRequiredRef$1;function requireRef$1(){if(hasRequiredRef$1)return ref$1;hasRequiredRef$1=1,Object.defineProperty(ref$1,"__esModule",{value:!0}),ref$1.callRef=ref$1.getValidate=void 0;const ref_error_1=requireRef_error$1(),code_1=requireCode$2(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),compile_1=requireCompile$1(),util_1=requireUtil$1(),def={keyword:"\
+$ref",schemaType:"string",code(cxt){const{gen,schema:$ref,it}=cxt,{baseId,schemaEnv:env2,validateName,opts,self:self2}=it,{root:root2}=env2;if(($ref==="#"||$ref==="#/")&&baseId===root2.baseId)return callRootRef();const schOrEnv=compile_1.resolveRef.call(self2,root2,baseId,$ref);if(schOrEnv===void 0)throw new ref_error_1.default(it.opts.uriResolver,baseId,$ref);if(schOrEnv instanceof compile_1.SchemaEnv)return callValidate(schOrEnv);return inlineRefSchema(schOrEnv);function callRootRef(){if(env2===
+root2)return callRef(cxt,validateName,env2,env2.$async);const rootName=gen.scopeValue("root",{ref:root2});return callRef(cxt,(0,codegen_1._)`${rootName}.validate`,root2,root2.$async)}function callValidate(sch){const v=getValidate(cxt,sch);callRef(cxt,v,sch,sch.$async)}function inlineRefSchema(sch){const schName=gen.scopeValue("schema",opts.code.source===!0?{ref:sch,code:(0,codegen_1.stringify)(sch)}:{ref:sch}),valid2=gen.name("valid"),schCxt=cxt.subschema({schema:sch,dataTypes:[],schemaPath:codegen_1.
+nil,topSchemaRef:schName,errSchemaPath:$ref},valid2);cxt.mergeEvaluated(schCxt),cxt.ok(valid2)}}};function getValidate(cxt,sch){const{gen}=cxt;return sch.validate?gen.scopeValue("validate",{ref:sch.validate}):(0,codegen_1._)`${gen.scopeValue("wrapper",{ref:sch})}.validate`}ref$1.getValidate=getValidate;function callRef(cxt,v,sch,$async){const{gen,it}=cxt,{allErrors,schemaEnv:env2,opts}=it,passCxt=opts.passContext?names_1.default.this:codegen_1.nil;$async?callAsyncRef():callSyncRef();function callAsyncRef(){
+if(!env2.$async)throw new Error("async schema referenced by sync schema");const valid2=gen.let("valid");gen.try(()=>{gen.code((0,codegen_1._)`await ${(0,code_1.callValidateCode)(cxt,v,passCxt)}`),addEvaluatedFrom(v),allErrors||gen.assign(valid2,!0)},e=>{gen.if((0,codegen_1._)`!(${e} instanceof ${it.ValidationError})`,()=>gen.throw(e)),addErrorsFrom(e),allErrors||gen.assign(valid2,!1)}),cxt.ok(valid2)}function callSyncRef(){cxt.result((0,code_1.callValidateCode)(cxt,v,passCxt),()=>addEvaluatedFrom(
+v),()=>addErrorsFrom(v))}function addErrorsFrom(source2){const errs=(0,codegen_1._)`${source2}.errors`;gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`),gen.assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`)}function addEvaluatedFrom(source2){var _a2;if(!it.opts.unevaluated)return;const schEvaluated=(_a2=sch?.validate)===null||_a2===void 0?void 0:_a2.evaluated;if(it.props!==
+!0)if(schEvaluated&&!schEvaluated.dynamicProps)schEvaluated.props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schEvaluated.props,it.props));else{const props=gen.var("props",(0,codegen_1._)`${source2}.evaluated.props`);it.props=util_1.mergeEvaluated.props(gen,props,it.props,codegen_1.Name)}if(it.items!==!0)if(schEvaluated&&!schEvaluated.dynamicItems)schEvaluated.items!==void 0&&(it.items=util_1.mergeEvaluated.items(gen,schEvaluated.items,it.items));else{const items2=gen.var("items",(0,codegen_1.
+_)`${source2}.evaluated.items`);it.items=util_1.mergeEvaluated.items(gen,items2,it.items,codegen_1.Name)}}}return ref$1.callRef=callRef,ref$1.default=def,ref$1}var hasRequiredCore$2;function requireCore$2(){if(hasRequiredCore$2)return core$3;hasRequiredCore$2=1,Object.defineProperty(core$3,"__esModule",{value:!0});const id_1=requireId$1(),ref_1=requireRef$1(),core2=["$schema","$id","$defs","$vocabulary",{keyword:"$comment"},"definitions",id_1.default,ref_1.default];return core$3.default=core2,core$3}
+var validation$1={},limitNumber$1={},hasRequiredLimitNumber$1;function requireLimitNumber$1(){if(hasRequiredLimitNumber$1)return limitNumber$1;hasRequiredLimitNumber$1=1,Object.defineProperty(limitNumber$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),ops=codegen_1.operators,KWDs={maximum:{okStr:"<=",ok:ops.LTE,fail:ops.GT},minimum:{okStr:">=",ok:ops.GTE,fail:ops.LT},exclusiveMaximum:{okStr:"<",ok:ops.LT,fail:ops.GTE},exclusiveMinimum:{okStr:">",ok:ops.GT,fail:ops.LTE}},error2={message:({
+keyword:keyword2,schemaCode})=>(0,codegen_1.str)`must be ${KWDs[keyword2].okStr} ${schemaCode}`,params:({keyword:keyword2,schemaCode})=>(0,codegen_1._)`{comparison: ${KWDs[keyword2].okStr}, limit: ${schemaCode}}`},def={keyword:Object.keys(KWDs),type:"number",schemaType:"number",$data:!0,error:error2,code(cxt){const{keyword:keyword2,data,schemaCode}=cxt;cxt.fail$data((0,codegen_1._)`${data} ${KWDs[keyword2].fail} ${schemaCode} || isNaN(${data})`)}};return limitNumber$1.default=def,limitNumber$1}var multipleOf$1={},
+hasRequiredMultipleOf$1;function requireMultipleOf$1(){if(hasRequiredMultipleOf$1)return multipleOf$1;hasRequiredMultipleOf$1=1,Object.defineProperty(multipleOf$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:"multipleOf",type:"number",schemaType:"number",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must be multiple of ${schemaCode}`,params:({schemaCode})=>(0,codegen_1._)`{multipleOf: ${schemaCode}}`},code(cxt){const{gen,data,schemaCode,it}=cxt,prec=it.opts.
+multipleOfPrecision,res=gen.let("res"),invalid2=prec?(0,codegen_1._)`Math.abs(Math.round(${res}) - ${res}) > 1e-${prec}`:(0,codegen_1._)`${res} !== parseInt(${res})`;cxt.fail$data((0,codegen_1._)`(${schemaCode} === 0 || (${res} = ${data}/${schemaCode}, ${invalid2}))`)}};return multipleOf$1.default=def,multipleOf$1}var limitLength$1={},ucs2length$1={},hasRequiredUcs2length$1;function requireUcs2length$1(){if(hasRequiredUcs2length$1)return ucs2length$1;hasRequiredUcs2length$1=1,Object.defineProperty(
+ucs2length$1,"__esModule",{value:!0});function ucs2length2(str){const len=str.length;let length=0,pos=0,value;for(;pos<len;)length++,value=str.charCodeAt(pos++),value>=55296&&value<=56319&&pos<len&&(value=str.charCodeAt(pos),(value&64512)===56320&&pos++);return length}return ucs2length$1.default=ucs2length2,ucs2length2.code='require("ajv/dist/runtime/ucs2length").default',ucs2length$1}var hasRequiredLimitLength$1;function requireLimitLength$1(){if(hasRequiredLimitLength$1)return limitLength$1;hasRequiredLimitLength$1=
+1,Object.defineProperty(limitLength$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),ucs2length_1=requireUcs2length$1(),def={keyword:["maxLength","minLength"],type:"string",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxLength"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} characters`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,
+data,schemaCode,it}=cxt,op2=keyword2==="maxLength"?codegen_1.operators.GT:codegen_1.operators.LT,len=it.opts.unicode===!1?(0,codegen_1._)`${data}.length`:(0,codegen_1._)`${(0,util_1.useFunc)(cxt.gen,ucs2length_1.default)}(${data})`;cxt.fail$data((0,codegen_1._)`${len} ${op2} ${schemaCode}`)}};return limitLength$1.default=def,limitLength$1}var pattern$1={},hasRequiredPattern$1;function requirePattern$1(){if(hasRequiredPattern$1)return pattern$1;hasRequiredPattern$1=1,Object.defineProperty(pattern$1,
+"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),def={keyword:"pattern",type:"string",schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match pattern "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{pattern: ${schemaCode}}`},code(cxt){const{data,$data,schema,schemaCode,it}=cxt,u=it.opts.unicodeRegExp?"u":"",regExp=$data?(0,codegen_1._)`(new RegExp(${schemaCode}, ${u}))`:(0,code_1.usePattern)(cxt,schema);cxt.fail$data((0,codegen_1.
+_)`!${regExp}.test(${data})`)}};return pattern$1.default=def,pattern$1}var limitProperties$1={},hasRequiredLimitProperties$1;function requireLimitProperties$1(){if(hasRequiredLimitProperties$1)return limitProperties$1;hasRequiredLimitProperties$1=1,Object.defineProperty(limitProperties$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:["maxProperties","minProperties"],type:"object",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2===
+"maxProperties"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} properties`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxProperties"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`Object.keys(${data}).length ${op2} ${schemaCode}`)}};return limitProperties$1.default=def,limitProperties$1}var required$2={},hasRequiredRequired$1;function requireRequired$1(){
+if(hasRequiredRequired$1)return required$2;hasRequiredRequired$1=1,Object.defineProperty(required$2,"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"required",type:"object",schemaType:"array",$data:!0,error:{message:({params:{missingProperty}})=>(0,codegen_1.str)`must have required property '${missingProperty}'`,params:({params:{missingProperty}})=>(0,codegen_1._)`{missingProperty: ${missingProperty}}`},code(cxt){const{gen,schema,
+schemaCode,data,$data,it}=cxt,{opts}=it;if(!$data&&schema.length===0)return;const useLoop=schema.length>=opts.loopRequired;if(it.allErrors?allErrorsMode():exitOnErrorMode(),opts.strictRequired){const props=cxt.parentSchema.properties,{definedProperties}=cxt.it;for(const requiredKey of schema)if(props?.[requiredKey]===void 0&&!definedProperties.has(requiredKey)){const schemaPath=it.schemaEnv.baseId+it.errSchemaPath,msg=`required property "${requiredKey}" is not defined at "${schemaPath}" (strictR\
+equired)`;(0,util_1.checkStrictMode)(it,msg,it.opts.strictRequired)}}function allErrorsMode(){if(useLoop||$data)cxt.block$data(codegen_1.nil,loopAllRequired);else for(const prop2 of schema)(0,code_1.checkReportMissingProp)(cxt,prop2)}function exitOnErrorMode(){const missing=gen.let("missing");if(useLoop||$data){const valid2=gen.let("valid",!0);cxt.block$data(valid2,()=>loopUntilMissing(missing,valid2)),cxt.ok(valid2)}else gen.if((0,code_1.checkMissingProp)(cxt,schema,missing)),(0,code_1.reportMissingProp)(
+cxt,missing),gen.else()}function loopAllRequired(){gen.forOf("prop",schemaCode,prop2=>{cxt.setParams({missingProperty:prop2}),gen.if((0,code_1.noPropertyInData)(gen,data,prop2,opts.ownProperties),()=>cxt.error())})}function loopUntilMissing(missing,valid2){cxt.setParams({missingProperty:missing}),gen.forOf(missing,schemaCode,()=>{gen.assign(valid2,(0,code_1.propertyInData)(gen,data,missing,opts.ownProperties)),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(),gen.break()})},codegen_1.nil)}}};return required$2.
+default=def,required$2}var limitItems$1={},hasRequiredLimitItems$1;function requireLimitItems$1(){if(hasRequiredLimitItems$1)return limitItems$1;hasRequiredLimitItems$1=1,Object.defineProperty(limitItems$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:["maxItems","minItems"],type:"array",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxItems"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} items`},
+params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxItems"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`${data}.length ${op2} ${schemaCode}`)}};return limitItems$1.default=def,limitItems$1}var uniqueItems$1={},equal$1={},hasRequiredEqual$1;function requireEqual$1(){if(hasRequiredEqual$1)return equal$1;hasRequiredEqual$1=1,Object.defineProperty(equal$1,"__esModule",{value:!0});const equal2=requireFastDeepEqual();
+return equal2.code='require("ajv/dist/runtime/equal").default',equal$1.default=equal2,equal$1}var hasRequiredUniqueItems$1;function requireUniqueItems$1(){if(hasRequiredUniqueItems$1)return uniqueItems$1;hasRequiredUniqueItems$1=1,Object.defineProperty(uniqueItems$1,"__esModule",{value:!0});const dataType_1=requireDataType$1(),codegen_1=requireCodegen$1(),util_1=requireUtil$1(),equal_1=requireEqual$1(),def={keyword:"uniqueItems",type:"array",schemaType:"boolean",$data:!0,error:{message:({params:{
+i,j}})=>(0,codegen_1.str)`must NOT have duplicate items (items ## ${j} and ${i} are identical)`,params:({params:{i,j}})=>(0,codegen_1._)`{i: ${i}, j: ${j}}`},code(cxt){const{gen,data,$data,schema,parentSchema,schemaCode,it}=cxt;if(!$data&&!schema)return;const valid2=gen.let("valid"),itemTypes=parentSchema.items?(0,dataType_1.getSchemaTypes)(parentSchema.items):[];cxt.block$data(valid2,validateUniqueItems,(0,codegen_1._)`${schemaCode} === false`),cxt.ok(valid2);function validateUniqueItems(){const i=gen.
+let("i",(0,codegen_1._)`${data}.length`),j=gen.let("j");cxt.setParams({i,j}),gen.assign(valid2,!0),gen.if((0,codegen_1._)`${i} > 1`,()=>(canOptimize()?loopN:loopN2)(i,j))}function canOptimize(){return itemTypes.length>0&&!itemTypes.some(t=>t==="object"||t==="array")}function loopN(i,j){const item=gen.name("item"),wrongType=(0,dataType_1.checkDataTypes)(itemTypes,item,it.opts.strictNumbers,dataType_1.DataType.Wrong),indices=gen.const("indices",(0,codegen_1._)`{}`);gen.for((0,codegen_1._)`;${i}--;`,
+()=>{gen.let(item,(0,codegen_1._)`${data}[${i}]`),gen.if(wrongType,(0,codegen_1._)`continue`),itemTypes.length>1&&gen.if((0,codegen_1._)`typeof ${item} == "string"`,(0,codegen_1._)`${item} += "_"`),gen.if((0,codegen_1._)`typeof ${indices}[${item}] == "number"`,()=>{gen.assign(j,(0,codegen_1._)`${indices}[${item}]`),cxt.error(),gen.assign(valid2,!1).break()}).code((0,codegen_1._)`${indices}[${item}] = ${i}`)})}function loopN2(i,j){const eql=(0,util_1.useFunc)(gen,equal_1.default),outer=gen.name("\
+outer");gen.label(outer).for((0,codegen_1._)`;${i}--;`,()=>gen.for((0,codegen_1._)`${j} = ${i}; ${j}--;`,()=>gen.if((0,codegen_1._)`${eql}(${data}[${i}], ${data}[${j}])`,()=>{cxt.error(),gen.assign(valid2,!1).break(outer)})))}}};return uniqueItems$1.default=def,uniqueItems$1}var _const$1={},hasRequired_const$1;function require_const$1(){if(hasRequired_const$1)return _const$1;hasRequired_const$1=1,Object.defineProperty(_const$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),
+equal_1=requireEqual$1(),def={keyword:"const",$data:!0,error:{message:"must be equal to constant",params:({schemaCode})=>(0,codegen_1._)`{allowedValue: ${schemaCode}}`},code(cxt){const{gen,data,$data,schemaCode,schema}=cxt;$data||schema&&typeof schema=="object"?cxt.fail$data((0,codegen_1._)`!${(0,util_1.useFunc)(gen,equal_1.default)}(${data}, ${schemaCode})`):cxt.fail((0,codegen_1._)`${schema} !== ${data}`)}};return _const$1.default=def,_const$1}var _enum$1={},hasRequired_enum$1;function require_enum$1(){
+if(hasRequired_enum$1)return _enum$1;hasRequired_enum$1=1,Object.defineProperty(_enum$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),equal_1=requireEqual$1(),def={keyword:"enum",schemaType:"array",$data:!0,error:{message:"must be equal to one of the allowed values",params:({schemaCode})=>(0,codegen_1._)`{allowedValues: ${schemaCode}}`},code(cxt){const{gen,data,$data,schema,schemaCode,it}=cxt;if(!$data&&schema.length===0)throw new Error("enum must have non-em\
+pty array");const useLoop=schema.length>=it.opts.loopEnum;let eql;const getEql=()=>eql??(eql=(0,util_1.useFunc)(gen,equal_1.default));let valid2;if(useLoop||$data)valid2=gen.let("valid"),cxt.block$data(valid2,loopEnum);else{if(!Array.isArray(schema))throw new Error("ajv implementation error");const vSchema=gen.const("vSchema",schemaCode);valid2=(0,codegen_1.or)(...schema.map((_x,i)=>equalCode(vSchema,i)))}cxt.pass(valid2);function loopEnum(){gen.assign(valid2,!1),gen.forOf("v",schemaCode,v=>gen.
+if((0,codegen_1._)`${getEql()}(${data}, ${v})`,()=>gen.assign(valid2,!0).break()))}function equalCode(vSchema,i){const sch=schema[i];return typeof sch=="object"&&sch!==null?(0,codegen_1._)`${getEql()}(${data}, ${vSchema}[${i}])`:(0,codegen_1._)`${data} === ${sch}`}}};return _enum$1.default=def,_enum$1}var hasRequiredValidation$1;function requireValidation$1(){if(hasRequiredValidation$1)return validation$1;hasRequiredValidation$1=1,Object.defineProperty(validation$1,"__esModule",{value:!0});const limitNumber_1=requireLimitNumber$1(),
+multipleOf_1=requireMultipleOf$1(),limitLength_1=requireLimitLength$1(),pattern_1=requirePattern$1(),limitProperties_1=requireLimitProperties$1(),required_1=requireRequired$1(),limitItems_1=requireLimitItems$1(),uniqueItems_1=requireUniqueItems$1(),const_1=require_const$1(),enum_1=require_enum$1(),validation2=[limitNumber_1.default,multipleOf_1.default,limitLength_1.default,pattern_1.default,limitProperties_1.default,required_1.default,limitItems_1.default,uniqueItems_1.default,{keyword:"type",schemaType:[
+"string","array"]},{keyword:"nullable",schemaType:"boolean"},const_1.default,enum_1.default];return validation$1.default=validation2,validation$1}var applicator$1={},additionalItems$1={},hasRequiredAdditionalItems$1;function requireAdditionalItems$1(){if(hasRequiredAdditionalItems$1)return additionalItems$1;hasRequiredAdditionalItems$1=1,Object.defineProperty(additionalItems$1,"__esModule",{value:!0}),additionalItems$1.validateAdditionalItems=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),
+def={keyword:"additionalItems",type:"array",schemaType:["boolean","object"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{parentSchema,it}=cxt,{items:items2}=parentSchema;if(!Array.isArray(items2)){(0,util_1.checkStrictMode)(it,'"additionalItems" is ignored when "items" is not an array of schemas');return}validateAdditionalItems(cxt,items2)}};function validateAdditionalItems(cxt,items2){
+const{gen,schema,data,keyword:keyword2,it}=cxt;it.items=!0;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(schema===!1)cxt.setParams({len:items2.length}),cxt.pass((0,codegen_1._)`${len} <= ${items2.length}`);else if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.var("valid",(0,codegen_1._)`${len} <= ${items2.length}`);gen.if((0,codegen_1.not)(valid2),()=>validateItems(valid2)),cxt.ok(valid2)}function validateItems(valid2){gen.forRange("i",items2.
+length,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.Type.Num},valid2),it.allErrors||gen.if((0,codegen_1.not)(valid2),()=>gen.break())})}}return additionalItems$1.validateAdditionalItems=validateAdditionalItems,additionalItems$1.default=def,additionalItems$1}var prefixItems$1={},items$1={},hasRequiredItems$1;function requireItems$1(){if(hasRequiredItems$1)return items$1;hasRequiredItems$1=1,Object.defineProperty(items$1,"__esModule",{value:!0}),items$1.validateTuple=void 0;
+const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),code_1=requireCode$2(),def={keyword:"items",type:"array",schemaType:["object","array","boolean"],before:"uniqueItems",code(cxt){const{schema,it}=cxt;if(Array.isArray(schema))return validateTuple(cxt,"additionalItems",schema);it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&cxt.ok((0,code_1.validateArray)(cxt))}};function validateTuple(cxt,extraItems,schArr=cxt.schema){const{gen,parentSchema,data,keyword:keyword2,it}=cxt;checkStrictTuple(
+parentSchema),it.opts.unevaluated&&schArr.length&&it.items!==!0&&(it.items=util_1.mergeEvaluated.items(gen,schArr.length,it.items));const valid2=gen.name("valid"),len=gen.const("len",(0,codegen_1._)`${data}.length`);schArr.forEach((sch,i)=>{(0,util_1.alwaysValidSchema)(it,sch)||(gen.if((0,codegen_1._)`${len} > ${i}`,()=>cxt.subschema({keyword:keyword2,schemaProp:i,dataProp:i},valid2)),cxt.ok(valid2))});function checkStrictTuple(sch){const{opts,errSchemaPath}=it,l=schArr.length,fullTuple=l===sch.
+minItems&&(l===sch.maxItems||sch[extraItems]===!1);if(opts.strictTuples&&!fullTuple){const msg=`"${keyword2}" is ${l}-tuple, but minItems or maxItems/${extraItems} are not specified or different at path "${errSchemaPath}"`;(0,util_1.checkStrictMode)(it,msg,opts.strictTuples)}}}return items$1.validateTuple=validateTuple,items$1.default=def,items$1}var hasRequiredPrefixItems$1;function requirePrefixItems$1(){if(hasRequiredPrefixItems$1)return prefixItems$1;hasRequiredPrefixItems$1=1,Object.defineProperty(
+prefixItems$1,"__esModule",{value:!0});const items_1=requireItems$1(),def={keyword:"prefixItems",type:"array",schemaType:["array"],before:"uniqueItems",code:cxt=>(0,items_1.validateTuple)(cxt,"items")};return prefixItems$1.default=def,prefixItems$1}var items2020$1={},hasRequiredItems2020$1;function requireItems2020$1(){if(hasRequiredItems2020$1)return items2020$1;hasRequiredItems2020$1=1,Object.defineProperty(items2020$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),
+code_1=requireCode$2(),additionalItems_1=requireAdditionalItems$1(),def={keyword:"items",type:"array",schemaType:["object","boolean"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{schema,parentSchema,it}=cxt,{prefixItems:prefixItems2}=parentSchema;it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&(prefixItems2?(0,additionalItems_1.validateAdditionalItems)(
+cxt,prefixItems2):cxt.ok((0,code_1.validateArray)(cxt)))}};return items2020$1.default=def,items2020$1}var contains$2={},hasRequiredContains$1;function requireContains$1(){if(hasRequiredContains$1)return contains$2;hasRequiredContains$1=1,Object.defineProperty(contains$2,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"contains",type:"array",schemaType:["object","boolean"],before:"uniqueItems",trackErrors:!0,error:{message:({params:{min:min2,max:max2}})=>max2===
+void 0?(0,codegen_1.str)`must contain at least ${min2} valid item(s)`:(0,codegen_1.str)`must contain at least ${min2} and no more than ${max2} valid item(s)`,params:({params:{min:min2,max:max2}})=>max2===void 0?(0,codegen_1._)`{minContains: ${min2}}`:(0,codegen_1._)`{minContains: ${min2}, maxContains: ${max2}}`},code(cxt){const{gen,schema,parentSchema,data,it}=cxt;let min2,max2;const{minContains,maxContains}=parentSchema;it.opts.next?(min2=minContains===void 0?1:minContains,max2=maxContains):min2=
+1;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(cxt.setParams({min:min2,max:max2}),max2===void 0&&min2===0){(0,util_1.checkStrictMode)(it,'"minContains" == 0 without "maxContains": "contains" keyword ignored');return}if(max2!==void 0&&min2>max2){(0,util_1.checkStrictMode)(it,'"minContains" > "maxContains" is always invalid'),cxt.fail();return}if((0,util_1.alwaysValidSchema)(it,schema)){let cond=(0,codegen_1._)`${len} >= ${min2}`;max2!==void 0&&(cond=(0,codegen_1._)`${cond} && ${len} <= ${max2}`),
+cxt.pass(cond);return}it.items=!0;const valid2=gen.name("valid");max2===void 0&&min2===1?validateItems(valid2,()=>gen.if(valid2,()=>gen.break())):min2===0?(gen.let(valid2,!0),max2!==void 0&&gen.if((0,codegen_1._)`${data}.length > 0`,validateItemsWithCount)):(gen.let(valid2,!1),validateItemsWithCount()),cxt.result(valid2,()=>cxt.reset());function validateItemsWithCount(){const schValid=gen.name("_valid"),count=gen.let("count",0);validateItems(schValid,()=>gen.if(schValid,()=>checkLimits(count)))}
+function validateItems(_valid,block2){gen.forRange("i",0,len,i=>{cxt.subschema({keyword:"contains",dataProp:i,dataPropType:util_1.Type.Num,compositeRule:!0},_valid),block2()})}function checkLimits(count){gen.code((0,codegen_1._)`${count}++`),max2===void 0?gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(valid2,!0).break()):(gen.if((0,codegen_1._)`${count} > ${max2}`,()=>gen.assign(valid2,!1).break()),min2===1?gen.assign(valid2,!0):gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(
+valid2,!0)))}}};return contains$2.default=def,contains$2}var dependencies$1={},hasRequiredDependencies$1;function requireDependencies$1(){return hasRequiredDependencies$1||(hasRequiredDependencies$1=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.validateSchemaDeps=exports.validatePropertyDeps=exports.error=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),code_1=requireCode$2();exports.error={message:({params:{property,depsCount,deps}})=>{const property_ies=depsCount===
+1?"property":"properties";return(0,codegen_1.str)`must have ${property_ies} ${deps} when property ${property} is present`},params:({params:{property,depsCount,deps,missingProperty}})=>(0,codegen_1._)`{property: ${property},
+    missingProperty: ${missingProperty},
+    depsCount: ${depsCount},
+    deps: ${deps}}`};const def={keyword:"dependencies",type:"object",schemaType:"object",error:exports.error,code(cxt){const[propDeps,schDeps]=splitDependencies(cxt);validatePropertyDeps(cxt,propDeps),validateSchemaDeps(cxt,schDeps)}};function splitDependencies({schema}){const propertyDeps={},schemaDeps={};for(const key2 in schema){if(key2==="__proto__")continue;const deps=Array.isArray(schema[key2])?propertyDeps:schemaDeps;deps[key2]=schema[key2]}return[propertyDeps,schemaDeps]}function validatePropertyDeps(cxt,propertyDeps=cxt.
+schema){const{gen,data,it}=cxt;if(Object.keys(propertyDeps).length===0)return;const missing=gen.let("missing");for(const prop2 in propertyDeps){const deps=propertyDeps[prop2];if(deps.length===0)continue;const hasProperty=(0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties);cxt.setParams({property:prop2,depsCount:deps.length,deps:deps.join(", ")}),it.allErrors?gen.if(hasProperty,()=>{for(const depProp of deps)(0,code_1.checkReportMissingProp)(cxt,depProp)}):(gen.if((0,codegen_1._)`${hasProperty} && (${(0,code_1.
+checkMissingProp)(cxt,deps,missing)})`),(0,code_1.reportMissingProp)(cxt,missing),gen.else())}}exports.validatePropertyDeps=validatePropertyDeps;function validateSchemaDeps(cxt,schemaDeps=cxt.schema){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");for(const prop2 in schemaDeps)(0,util_1.alwaysValidSchema)(it,schemaDeps[prop2])||(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties),()=>{const schCxt=cxt.subschema({keyword:keyword2,schemaProp:prop2},valid2);cxt.mergeValidEvaluated(
+schCxt,valid2)},()=>gen.var(valid2,!0)),cxt.ok(valid2))}exports.validateSchemaDeps=validateSchemaDeps,exports.default=def}(dependencies$1)),dependencies$1}var propertyNames$1={},hasRequiredPropertyNames$1;function requirePropertyNames$1(){if(hasRequiredPropertyNames$1)return propertyNames$1;hasRequiredPropertyNames$1=1,Object.defineProperty(propertyNames$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"propertyNames",type:"object",schemaType:["ob\
+ject","boolean"],error:{message:"property name must be valid",params:({params})=>(0,codegen_1._)`{propertyName: ${params.propertyName}}`},code(cxt){const{gen,schema,data,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema))return;const valid2=gen.name("valid");gen.forIn("key",data,key2=>{cxt.setParams({propertyName:key2}),cxt.subschema({keyword:"propertyNames",data:key2,dataTypes:["string"],propertyName:key2,compositeRule:!0},valid2),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(!0),it.allErrors||
+gen.break()})}),cxt.ok(valid2)}};return propertyNames$1.default=def,propertyNames$1}var additionalProperties$2={},hasRequiredAdditionalProperties$1;function requireAdditionalProperties$1(){if(hasRequiredAdditionalProperties$1)return additionalProperties$2;hasRequiredAdditionalProperties$1=1,Object.defineProperty(additionalProperties$2,"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),util_1=requireUtil$1(),def={keyword:"additionalProperti\
+es",type:["object"],schemaType:["boolean","object"],allowUndefined:!0,trackErrors:!0,error:{message:"must NOT have additional properties",params:({params})=>(0,codegen_1._)`{additionalProperty: ${params.additionalProperty}}`},code(cxt){const{gen,schema,parentSchema,data,errsCount,it}=cxt;if(!errsCount)throw new Error("ajv implementation error");const{allErrors,opts}=it;if(it.props=!0,opts.removeAdditional!=="all"&&(0,util_1.alwaysValidSchema)(it,schema))return;const props=(0,code_1.allSchemaProperties)(
+parentSchema.properties),patProps=(0,code_1.allSchemaProperties)(parentSchema.patternProperties);checkAdditionalProperties(),cxt.ok((0,codegen_1._)`${errsCount} === ${names_1.default.errors}`);function checkAdditionalProperties(){gen.forIn("key",data,key2=>{!props.length&&!patProps.length?additionalPropertyCode(key2):gen.if(isAdditional(key2),()=>additionalPropertyCode(key2))})}function isAdditional(key2){let definedProp;if(props.length>8){const propsSchema=(0,util_1.schemaRefOrVal)(it,parentSchema.
+properties,"properties");definedProp=(0,code_1.isOwnProperty)(gen,propsSchema,key2)}else props.length?definedProp=(0,codegen_1.or)(...props.map(p2=>(0,codegen_1._)`${key2} === ${p2}`)):definedProp=codegen_1.nil;return patProps.length&&(definedProp=(0,codegen_1.or)(definedProp,...patProps.map(p2=>(0,codegen_1._)`${(0,code_1.usePattern)(cxt,p2)}.test(${key2})`))),(0,codegen_1.not)(definedProp)}function deleteAdditional(key2){gen.code((0,codegen_1._)`delete ${data}[${key2}]`)}function additionalPropertyCode(key2){
+if(opts.removeAdditional==="all"||opts.removeAdditional&&schema===!1){deleteAdditional(key2);return}if(schema===!1){cxt.setParams({additionalProperty:key2}),cxt.error(),allErrors||gen.break();return}if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.name("valid");opts.removeAdditional==="failing"?(applyAdditionalSchema(key2,valid2,!1),gen.if((0,codegen_1.not)(valid2),()=>{cxt.reset(),deleteAdditional(key2)})):(applyAdditionalSchema(key2,valid2),allErrors||gen.
+if((0,codegen_1.not)(valid2),()=>gen.break()))}}function applyAdditionalSchema(key2,valid2,errors2){const subschema2={keyword:"additionalProperties",dataProp:key2,dataPropType:util_1.Type.Str};errors2===!1&&Object.assign(subschema2,{compositeRule:!0,createErrors:!1,allErrors:!1}),cxt.subschema(subschema2,valid2)}}};return additionalProperties$2.default=def,additionalProperties$2}var properties$5={},hasRequiredProperties$1;function requireProperties$1(){if(hasRequiredProperties$1)return properties$5;
+hasRequiredProperties$1=1,Object.defineProperty(properties$5,"__esModule",{value:!0});const validate_1=requireValidate$1(),code_1=requireCode$2(),util_1=requireUtil$1(),additionalProperties_1=requireAdditionalProperties$1(),def={keyword:"properties",type:"object",schemaType:"object",code(cxt){const{gen,schema,parentSchema,data,it}=cxt;it.opts.removeAdditional==="all"&&parentSchema.additionalProperties===void 0&&additionalProperties_1.default.code(new validate_1.KeywordCxt(it,additionalProperties_1.
+default,"additionalProperties"));const allProps=(0,code_1.allSchemaProperties)(schema);for(const prop2 of allProps)it.definedProperties.add(prop2);it.opts.unevaluated&&allProps.length&&it.props!==!0&&(it.props=util_1.mergeEvaluated.props(gen,(0,util_1.toHash)(allProps),it.props));const properties2=allProps.filter(p2=>!(0,util_1.alwaysValidSchema)(it,schema[p2]));if(properties2.length===0)return;const valid2=gen.name("valid");for(const prop2 of properties2)hasDefault(prop2)?applyPropertySchema(prop2):
+(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties)),applyPropertySchema(prop2),it.allErrors||gen.else().var(valid2,!0),gen.endIf()),cxt.it.definedProperties.add(prop2),cxt.ok(valid2);function hasDefault(prop2){return it.opts.useDefaults&&!it.compositeRule&&schema[prop2].default!==void 0}function applyPropertySchema(prop2){cxt.subschema({keyword:"properties",schemaProp:prop2,dataProp:prop2},valid2)}}};return properties$5.default=def,properties$5}var patternProperties$1={},hasRequiredPatternProperties$1;
+function requirePatternProperties$1(){if(hasRequiredPatternProperties$1)return patternProperties$1;hasRequiredPatternProperties$1=1,Object.defineProperty(patternProperties$1,"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),util_1=requireUtil$1(),util_2=requireUtil$1(),def={keyword:"patternProperties",type:"object",schemaType:"object",code(cxt){const{gen,schema,data,parentSchema,it}=cxt,{opts}=it,patterns=(0,code_1.allSchemaProperties)(schema),alwaysValidPatterns=patterns.
+filter(p2=>(0,util_1.alwaysValidSchema)(it,schema[p2]));if(patterns.length===0||alwaysValidPatterns.length===patterns.length&&(!it.opts.unevaluated||it.props===!0))return;const checkProperties=opts.strictSchema&&!opts.allowMatchingProperties&&parentSchema.properties,valid2=gen.name("valid");it.props!==!0&&!(it.props instanceof codegen_1.Name)&&(it.props=(0,util_2.evaluatedPropsToName)(gen,it.props));const{props}=it;validatePatternProperties();function validatePatternProperties(){for(const pat of patterns)
+checkProperties&&checkMatchingProperties(pat),it.allErrors?validateProperties(pat):(gen.var(valid2,!0),validateProperties(pat),gen.if(valid2))}function checkMatchingProperties(pat){for(const prop2 in checkProperties)new RegExp(pat).test(prop2)&&(0,util_1.checkStrictMode)(it,`property ${prop2} matches pattern ${pat} (use allowMatchingProperties)`)}function validateProperties(pat){gen.forIn("key",data,key2=>{gen.if((0,codegen_1._)`${(0,code_1.usePattern)(cxt,pat)}.test(${key2})`,()=>{const alwaysValid=alwaysValidPatterns.
+includes(pat);alwaysValid||cxt.subschema({keyword:"patternProperties",schemaProp:pat,dataProp:key2,dataPropType:util_2.Type.Str},valid2),it.opts.unevaluated&&props!==!0?gen.assign((0,codegen_1._)`${props}[${key2}]`,!0):!alwaysValid&&!it.allErrors&&gen.if((0,codegen_1.not)(valid2),()=>gen.break())})})}}};return patternProperties$1.default=def,patternProperties$1}var not$1={},hasRequiredNot$1;function requireNot$1(){if(hasRequiredNot$1)return not$1;hasRequiredNot$1=1,Object.defineProperty(not$1,"_\
+_esModule",{value:!0});const util_1=requireUtil$1(),def={keyword:"not",schemaType:["object","boolean"],trackErrors:!0,code(cxt){const{gen,schema,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema)){cxt.fail();return}const valid2=gen.name("valid");cxt.subschema({keyword:"not",compositeRule:!0,createErrors:!1,allErrors:!1},valid2),cxt.failResult(valid2,()=>cxt.reset(),()=>cxt.error())},error:{message:"must NOT be valid"}};return not$1.default=def,not$1}var anyOf$1={},hasRequiredAnyOf$1;function requireAnyOf$1(){
+if(hasRequiredAnyOf$1)return anyOf$1;hasRequiredAnyOf$1=1,Object.defineProperty(anyOf$1,"__esModule",{value:!0});const def={keyword:"anyOf",schemaType:"array",trackErrors:!0,code:requireCode$2().validateUnion,error:{message:"must match a schema in anyOf"}};return anyOf$1.default=def,anyOf$1}var oneOf$1={},hasRequiredOneOf$1;function requireOneOf$1(){if(hasRequiredOneOf$1)return oneOf$1;hasRequiredOneOf$1=1,Object.defineProperty(oneOf$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),
+util_1=requireUtil$1(),def={keyword:"oneOf",schemaType:"array",trackErrors:!0,error:{message:"must match exactly one schema in oneOf",params:({params})=>(0,codegen_1._)`{passingSchemas: ${params.passing}}`},code(cxt){const{gen,schema,parentSchema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(it.opts.discriminator&&parentSchema.discriminator)return;const schArr=schema,valid2=gen.let("valid",!1),passing=gen.let("passing",null),schValid=gen.name("_valid");cxt.setParams(
+{passing}),gen.block(validateOneOf),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(!0));function validateOneOf(){schArr.forEach((sch,i)=>{let schCxt;(0,util_1.alwaysValidSchema)(it,sch)?gen.var(schValid,!0):schCxt=cxt.subschema({keyword:"oneOf",schemaProp:i,compositeRule:!0},schValid),i>0&&gen.if((0,codegen_1._)`${schValid} && ${valid2}`).assign(valid2,!1).assign(passing,(0,codegen_1._)`[${passing}, ${i}]`).else(),gen.if(schValid,()=>{gen.assign(valid2,!0),gen.assign(passing,i),schCxt&&cxt.mergeEvaluated(
+schCxt,codegen_1.Name)})})}}};return oneOf$1.default=def,oneOf$1}var allOf$1={},hasRequiredAllOf$1;function requireAllOf$1(){if(hasRequiredAllOf$1)return allOf$1;hasRequiredAllOf$1=1,Object.defineProperty(allOf$1,"__esModule",{value:!0});const util_1=requireUtil$1(),def={keyword:"allOf",schemaType:"array",code(cxt){const{gen,schema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");const valid2=gen.name("valid");schema.forEach((sch,i)=>{if((0,util_1.alwaysValidSchema)(
+it,sch))return;const schCxt=cxt.subschema({keyword:"allOf",schemaProp:i},valid2);cxt.ok(valid2),cxt.mergeEvaluated(schCxt)})}};return allOf$1.default=def,allOf$1}var _if$1={},hasRequired_if$1;function require_if$1(){if(hasRequired_if$1)return _if$1;hasRequired_if$1=1,Object.defineProperty(_if$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"if",schemaType:["object","boolean"],trackErrors:!0,error:{message:({params})=>(0,codegen_1.str)`must match "${params.
+ifClause}" schema`,params:({params})=>(0,codegen_1._)`{failingKeyword: ${params.ifClause}}`},code(cxt){const{gen,parentSchema,it}=cxt;parentSchema.then===void 0&&parentSchema.else===void 0&&(0,util_1.checkStrictMode)(it,'"if" without "then" and "else" is ignored');const hasThen=hasSchema(it,"then"),hasElse=hasSchema(it,"else");if(!hasThen&&!hasElse)return;const valid2=gen.let("valid",!0),schValid=gen.name("_valid");if(validateIf(),cxt.reset(),hasThen&&hasElse){const ifClause=gen.let("ifClause");
+cxt.setParams({ifClause}),gen.if(schValid,validateClause("then",ifClause),validateClause("else",ifClause))}else hasThen?gen.if(schValid,validateClause("then")):gen.if((0,codegen_1.not)(schValid),validateClause("else"));cxt.pass(valid2,()=>cxt.error(!0));function validateIf(){const schCxt=cxt.subschema({keyword:"if",compositeRule:!0,createErrors:!1,allErrors:!1},schValid);cxt.mergeEvaluated(schCxt)}function validateClause(keyword2,ifClause){return()=>{const schCxt=cxt.subschema({keyword:keyword2},
+schValid);gen.assign(valid2,schValid),cxt.mergeValidEvaluated(schCxt,valid2),ifClause?gen.assign(ifClause,(0,codegen_1._)`${keyword2}`):cxt.setParams({ifClause:keyword2})}}}};function hasSchema(it,keyword2){const schema=it.schema[keyword2];return schema!==void 0&&!(0,util_1.alwaysValidSchema)(it,schema)}return _if$1.default=def,_if$1}var thenElse$1={},hasRequiredThenElse$1;function requireThenElse$1(){if(hasRequiredThenElse$1)return thenElse$1;hasRequiredThenElse$1=1,Object.defineProperty(thenElse$1,
+"__esModule",{value:!0});const util_1=requireUtil$1(),def={keyword:["then","else"],schemaType:["object","boolean"],code({keyword:keyword2,parentSchema,it}){parentSchema.if===void 0&&(0,util_1.checkStrictMode)(it,`"${keyword2}" without "if" is ignored`)}};return thenElse$1.default=def,thenElse$1}var hasRequiredApplicator$1;function requireApplicator$1(){if(hasRequiredApplicator$1)return applicator$1;hasRequiredApplicator$1=1,Object.defineProperty(applicator$1,"__esModule",{value:!0});const additionalItems_1=requireAdditionalItems$1(),
+prefixItems_1=requirePrefixItems$1(),items_1=requireItems$1(),items2020_1=requireItems2020$1(),contains_1=requireContains$1(),dependencies_1=requireDependencies$1(),propertyNames_1=requirePropertyNames$1(),additionalProperties_1=requireAdditionalProperties$1(),properties_12=requireProperties$1(),patternProperties_1=requirePatternProperties$1(),not_1=requireNot$1(),anyOf_1=requireAnyOf$1(),oneOf_1=requireOneOf$1(),allOf_1=requireAllOf$1(),if_1=require_if$1(),thenElse_1=requireThenElse$1();function getApplicator(draft2020=!1){
+const applicator2=[not_1.default,anyOf_1.default,oneOf_1.default,allOf_1.default,if_1.default,thenElse_1.default,propertyNames_1.default,additionalProperties_1.default,dependencies_1.default,properties_12.default,patternProperties_1.default];return draft2020?applicator2.push(prefixItems_1.default,items2020_1.default):applicator2.push(additionalItems_1.default,items_1.default),applicator2.push(contains_1.default),applicator2}return applicator$1.default=getApplicator,applicator$1}var format$3={},format$2={},
+hasRequiredFormat$3;function requireFormat$3(){if(hasRequiredFormat$3)return format$2;hasRequiredFormat$3=1,Object.defineProperty(format$2,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:"format",type:["number","string"],schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match format "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{format: ${schemaCode}}`},code(cxt,ruleType){const{gen,data,$data,schema,schemaCode,it}=cxt,{opts,errSchemaPath,
+schemaEnv,self:self2}=it;if(!opts.validateFormats)return;$data?validate$DataFormat():validateFormat();function validate$DataFormat(){const fmts=gen.scopeValue("formats",{ref:self2.formats,code:opts.code.formats}),fDef=gen.const("fDef",(0,codegen_1._)`${fmts}[${schemaCode}]`),fType=gen.let("fType"),format2=gen.let("format");gen.if((0,codegen_1._)`typeof ${fDef} == "object" && !(${fDef} instanceof RegExp)`,()=>gen.assign(fType,(0,codegen_1._)`${fDef}.type || "string"`).assign(format2,(0,codegen_1.
+_)`${fDef}.validate`),()=>gen.assign(fType,(0,codegen_1._)`"string"`).assign(format2,fDef)),cxt.fail$data((0,codegen_1.or)(unknownFmt(),invalidFmt()));function unknownFmt(){return opts.strictSchema===!1?codegen_1.nil:(0,codegen_1._)`${schemaCode} && !${format2}`}function invalidFmt(){const callFormat=schemaEnv.$async?(0,codegen_1._)`(${fDef}.async ? await ${format2}(${data}) : ${format2}(${data}))`:(0,codegen_1._)`${format2}(${data})`,validData=(0,codegen_1._)`(typeof ${format2} == "function" ? ${callFormat} : ${format2}.test(${data}))`;
+return(0,codegen_1._)`${format2} && ${format2} !== true && ${fType} === ${ruleType} && !${validData}`}}function validateFormat(){const formatDef=self2.formats[schema];if(!formatDef){unknownFormat();return}if(formatDef===!0)return;const[fmtType,format2,fmtRef]=getFormat(formatDef);fmtType===ruleType&&cxt.pass(validCondition());function unknownFormat(){if(opts.strictSchema===!1){self2.logger.warn(unknownMsg());return}throw new Error(unknownMsg());function unknownMsg(){return`unknown format "${schema}\
+" ignored in schema at path "${errSchemaPath}"`}}function getFormat(fmtDef){const code2=fmtDef instanceof RegExp?(0,codegen_1.regexpCode)(fmtDef):opts.code.formats?(0,codegen_1._)`${opts.code.formats}${(0,codegen_1.getProperty)(schema)}`:void 0,fmt=gen.scopeValue("formats",{key:schema,ref:fmtDef,code:code2});return typeof fmtDef=="object"&&!(fmtDef instanceof RegExp)?[fmtDef.type||"string",fmtDef.validate,(0,codegen_1._)`${fmt}.validate`]:["string",fmtDef,fmt]}function validCondition(){if(typeof formatDef==
+"object"&&!(formatDef instanceof RegExp)&&formatDef.async){if(!schemaEnv.$async)throw new Error("async format in sync schema");return(0,codegen_1._)`await ${fmtRef}(${data})`}return typeof format2=="function"?(0,codegen_1._)`${fmtRef}(${data})`:(0,codegen_1._)`${fmtRef}.test(${data})`}}}};return format$2.default=def,format$2}var hasRequiredFormat$2;function requireFormat$2(){if(hasRequiredFormat$2)return format$3;hasRequiredFormat$2=1,Object.defineProperty(format$3,"__esModule",{value:!0});const format2=[
+requireFormat$3().default];return format$3.default=format2,format$3}var metadata$1={},hasRequiredMetadata$1;function requireMetadata$1(){return hasRequiredMetadata$1||(hasRequiredMetadata$1=1,Object.defineProperty(metadata$1,"__esModule",{value:!0}),metadata$1.contentVocabulary=metadata$1.metadataVocabulary=void 0,metadata$1.metadataVocabulary=["title","description","default","deprecated","readOnly","writeOnly","examples"],metadata$1.contentVocabulary=["contentMediaType","contentEncoding","conte\
+ntSchema"]),metadata$1}var hasRequiredDraft7$1;function requireDraft7$1(){if(hasRequiredDraft7$1)return draft7$1;hasRequiredDraft7$1=1,Object.defineProperty(draft7$1,"__esModule",{value:!0});const core_1=requireCore$2(),validation_1=requireValidation$1(),applicator_1=requireApplicator$1(),format_1=requireFormat$2(),metadata_1=requireMetadata$1(),draft7Vocabularies=[core_1.default,validation_1.default,(0,applicator_1.default)(),format_1.default,metadata_1.metadataVocabulary,metadata_1.contentVocabulary];
+return draft7$1.default=draft7Vocabularies,draft7$1}var discriminator$1={},types$2={},hasRequiredTypes$1;function requireTypes$1(){if(hasRequiredTypes$1)return types$2;hasRequiredTypes$1=1,Object.defineProperty(types$2,"__esModule",{value:!0}),types$2.DiscrError=void 0;var DiscrError;return function(DiscrError2){DiscrError2.Tag="tag",DiscrError2.Mapping="mapping"}(DiscrError||(types$2.DiscrError=DiscrError={})),types$2}var hasRequiredDiscriminator$1;function requireDiscriminator$1(){if(hasRequiredDiscriminator$1)
+return discriminator$1;hasRequiredDiscriminator$1=1,Object.defineProperty(discriminator$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),types_1=requireTypes$1(),compile_1=requireCompile$1(),ref_error_1=requireRef_error$1(),util_1=requireUtil$1(),def={keyword:"discriminator",type:"object",schemaType:"object",error:{message:({params:{discrError,tagName}})=>discrError===types_1.DiscrError.Tag?`tag "${tagName}" must be string`:`value of tag "${tagName}" must be in oneOf`,params:({params:{
+discrError,tag,tagName}})=>(0,codegen_1._)`{error: ${discrError}, tag: ${tagName}, tagValue: ${tag}}`},code(cxt){const{gen,data,schema,parentSchema,it}=cxt,{oneOf:oneOf2}=parentSchema;if(!it.opts.discriminator)throw new Error("discriminator: requires discriminator option");const tagName=schema.propertyName;if(typeof tagName!="string")throw new Error("discriminator: requires propertyName");if(schema.mapping)throw new Error("discriminator: mapping is not supported");if(!oneOf2)throw new Error("dis\
+criminator: requires oneOf keyword");const valid2=gen.let("valid",!1),tag=gen.const("tag",(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(tagName)}`);gen.if((0,codegen_1._)`typeof ${tag} == "string"`,()=>validateMapping(),()=>cxt.error(!1,{discrError:types_1.DiscrError.Tag,tag,tagName})),cxt.ok(valid2);function validateMapping(){const mapping=getMapping();gen.if(!1);for(const tagValue in mapping)gen.elseIf((0,codegen_1._)`${tag} === ${tagValue}`),gen.assign(valid2,applyTagSchema(mapping[tagValue]));
+gen.else(),cxt.error(!1,{discrError:types_1.DiscrError.Mapping,tag,tagName}),gen.endIf()}function applyTagSchema(schemaProp){const _valid=gen.name("valid"),schCxt=cxt.subschema({keyword:"oneOf",schemaProp},_valid);return cxt.mergeEvaluated(schCxt,codegen_1.Name),_valid}function getMapping(){var _a2;const oneOfMapping={},topRequired=hasRequired(parentSchema);let tagRequired=!0;for(let i=0;i<oneOf2.length;i++){let sch=oneOf2[i];if(sch?.$ref&&!(0,util_1.schemaHasRulesButRef)(sch,it.self.RULES)){const ref2=sch.
+$ref;if(sch=compile_1.resolveRef.call(it.self,it.schemaEnv.root,it.baseId,ref2),sch instanceof compile_1.SchemaEnv&&(sch=sch.schema),sch===void 0)throw new ref_error_1.default(it.opts.uriResolver,it.baseId,ref2)}const propSch=(_a2=sch?.properties)===null||_a2===void 0?void 0:_a2[tagName];if(typeof propSch!="object")throw new Error(`discriminator: oneOf subschemas (or referenced schemas) must have "properties/${tagName}"`);tagRequired=tagRequired&&(topRequired||hasRequired(sch)),addMappings(propSch,
+i)}if(!tagRequired)throw new Error(`discriminator: "${tagName}" must be required`);return oneOfMapping;function hasRequired({required:required2}){return Array.isArray(required2)&&required2.includes(tagName)}function addMappings(sch,i){if(sch.const)addMapping(sch.const,i);else if(sch.enum)for(const tagValue of sch.enum)addMapping(tagValue,i);else throw new Error(`discriminator: "properties/${tagName}" must have "const" or "enum"`)}function addMapping(tagValue,i){if(typeof tagValue!="string"||tagValue in
+oneOfMapping)throw new Error(`discriminator: "${tagName}" values must be unique strings`);oneOfMapping[tagValue]=i}}}};return discriminator$1.default=def,discriminator$1}const $schema$1="http://json-schema.org/draft-07/schema#",$id$2="http://json-schema.org/draft-07/schema#",title$1="Core schema meta-schema",definitions$1={schemaArray:{type:"array",minItems:1,items:{$ref:"#"}},nonNegativeInteger:{type:"integer",minimum:0},nonNegativeIntegerDefault0:{allOf:[{$ref:"#/definitions/nonNegativeInteger"},
+{default:0}]},simpleTypes:{enum:["array","boolean","integer","null","number","object","string"]},stringArray:{type:"array",items:{type:"string"},uniqueItems:!0,default:[]}},type$2=["object","boolean"],properties$4={$id:{type:"string",format:"uri-reference"},$schema:{type:"string",format:"uri"},$ref:{type:"string",format:"uri-reference"},$comment:{type:"string"},title:{type:"string"},description:{type:"string"},default:!0,readOnly:{type:"boolean",default:!1},examples:{type:"array",items:!0},multipleOf:{
+type:"number",exclusiveMinimum:0},maximum:{type:"number"},exclusiveMaximum:{type:"number"},minimum:{type:"number"},exclusiveMinimum:{type:"number"},maxLength:{$ref:"#/definitions/nonNegativeInteger"},minLength:{$ref:"#/definitions/nonNegativeIntegerDefault0"},pattern:{type:"string",format:"regex"},additionalItems:{$ref:"#"},items:{anyOf:[{$ref:"#"},{$ref:"#/definitions/schemaArray"}],default:!0},maxItems:{$ref:"#/definitions/nonNegativeInteger"},minItems:{$ref:"#/definitions/nonNegativeIntegerDe\
+fault0"},uniqueItems:{type:"boolean",default:!1},contains:{$ref:"#"},maxProperties:{$ref:"#/definitions/nonNegativeInteger"},minProperties:{$ref:"#/definitions/nonNegativeIntegerDefault0"},required:{$ref:"#/definitions/stringArray"},additionalProperties:{$ref:"#"},definitions:{type:"object",additionalProperties:{$ref:"#"},default:{}},properties:{type:"object",additionalProperties:{$ref:"#"},default:{}},patternProperties:{type:"object",additionalProperties:{$ref:"#"},propertyNames:{format:"regex"},
+default:{}},dependencies:{type:"object",additionalProperties:{anyOf:[{$ref:"#"},{$ref:"#/definitions/stringArray"}]}},propertyNames:{$ref:"#"},const:!0,enum:{type:"array",items:!0,minItems:1,uniqueItems:!0},type:{anyOf:[{$ref:"#/definitions/simpleTypes"},{type:"array",items:{$ref:"#/definitions/simpleTypes"},minItems:1,uniqueItems:!0}]},format:{type:"string"},contentMediaType:{type:"string"},contentEncoding:{type:"string"},if:{$ref:"#"},then:{$ref:"#"},else:{$ref:"#"},allOf:{$ref:"#/definitions/\
+schemaArray"},anyOf:{$ref:"#/definitions/schemaArray"},oneOf:{$ref:"#/definitions/schemaArray"},not:{$ref:"#"}},require$$3$1={$schema:$schema$1,$id:$id$2,title:title$1,definitions:definitions$1,type:type$2,properties:properties$4,default:!0};var hasRequiredAjv$1;function requireAjv$1(){return hasRequiredAjv$1||(hasRequiredAjv$1=1,function(module,exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.MissingRefError=exports.ValidationError=exports.CodeGen=exports.Name=exports.nil=
+exports.stringify=exports.str=exports._=exports.KeywordCxt=exports.Ajv=void 0;const core_1=requireCore$3(),draft7_1=requireDraft7$1(),discriminator_1=requireDiscriminator$1(),draft7MetaSchema=require$$3$1,META_SUPPORT_DATA=["/properties"],META_SCHEMA_ID="http://json-schema.org/draft-07/schema";class Ajv2 extends core_1.default{_addVocabularies(){super._addVocabularies(),draft7_1.default.forEach(v=>this.addVocabulary(v)),this.opts.discriminator&&this.addKeyword(discriminator_1.default)}_addDefaultMetaSchema(){
+if(super._addDefaultMetaSchema(),!this.opts.meta)return;const metaSchema=this.opts.$data?this.$dataMetaSchema(draft7MetaSchema,META_SUPPORT_DATA):draft7MetaSchema;this.addMetaSchema(metaSchema,META_SCHEMA_ID,!1),this.refs["http://json-schema.org/schema"]=META_SCHEMA_ID}defaultMeta(){return this.opts.defaultMeta=super.defaultMeta()||(this.getSchema(META_SCHEMA_ID)?META_SCHEMA_ID:void 0)}}exports.Ajv=Ajv2,module.exports=exports=Ajv2,module.exports.Ajv=Ajv2,Object.defineProperty(exports,"__esModule",
+{value:!0}),exports.default=Ajv2;var validate_1=requireValidate$1();Object.defineProperty(exports,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen$1();Object.defineProperty(exports,"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(exports,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(
+exports,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});var validation_error_1=requireValidation_error$1();Object.defineProperty(exports,"ValidationError",{enumerable:!0,get:function(){return validation_error_1.default}});var ref_error_1=requireRef_error$1();Object.defineProperty(exports,"MissingR\
+efError",{enumerable:!0,get:function(){return ref_error_1.default}})}(ajv$1,ajv$1.exports)),ajv$1.exports}var ajvExports=requireAjv$1();const Ajv=getDefaultExportFromCjs(ajvExports);var dist={exports:{}},formats={},hasRequiredFormats;function requireFormats(){return hasRequiredFormats||(hasRequiredFormats=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.formatNames=exports.fastFormats=exports.fullFormats=void 0;function fmtDef(validate2,compare){return{validate:validate2,
+compare}}exports.fullFormats={date:fmtDef(date2,compareDate),time:fmtDef(getTime(!0),compareTime),"date-time":fmtDef(getDateTime(!0),compareDateTime),"iso-time":fmtDef(getTime(),compareIsoTime),"iso-date-time":fmtDef(getDateTime(),compareIsoDateTime),duration:/^P(?!$)((\d+Y)?(\d+M)?(\d+D)?(T(?=\d)(\d+H)?(\d+M)?(\d+S)?)?|(\d+W)?)$/,uri:uri2,"uri-reference":/^(?:[a-z][a-z0-9+\-.]*:)?(?:\/?\/(?:(?:[a-z0-9\-._~!$&'()*+,;=:]|%[0-9a-f]{2})*@)?(?:\[(?:(?:(?:(?:[0-9a-f]{1,4}:){6}|::(?:[0-9a-f]{1,4}:){5}|(?:[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){4}|(?:(?:[0-9a-f]{1,4}:){0,1}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){3}|(?:(?:[0-9a-f]{1,4}:){0,2}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){2}|(?:(?:[0-9a-f]{1,4}:){0,3}[0-9a-f]{1,4})?::[0-9a-f]{1,4}:|(?:(?:[0-9a-f]{1,4}:){0,4}[0-9a-f]{1,4})?::)(?:[0-9a-f]{1,4}:[0-9a-f]{1,4}|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?))|(?:(?:[0-9a-f]{1,4}:){0,5}[0-9a-f]{1,4})?::[0-9a-f]{1,4}|(?:(?:[0-9a-f]{1,4}:){0,6}[0-9a-f]{1,4})?::)|[Vv][0-9a-f]+\.[a-z0-9\-._~!$&'()*+,;=:]+)\]|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?)|(?:[a-z0-9\-._~!$&'"()*+,;=]|%[0-9a-f]{2})*)(?::\d*)?(?:\/(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})*)*|\/(?:(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})*)*)?|(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})*)*)?(?:\?(?:[a-z0-9\-._~!$&'"()*+,;=:@/?]|%[0-9a-f]{2})*)?(?:#(?:[a-z0-9\-._~!$&'"()*+,;=:@/?]|%[0-9a-f]{2})*)?$/i,
+"uri-template":/^(?:(?:[^\x00-\x20"'<>%\\^`{|}]|%[0-9a-f]{2})|\{[+#./;?&=,!@|]?(?:[a-z0-9_]|%[0-9a-f]{2})+(?::[1-9][0-9]{0,3}|\*)?(?:,(?:[a-z0-9_]|%[0-9a-f]{2})+(?::[1-9][0-9]{0,3}|\*)?)*\})*$/i,url:/^(?:https?|ftp):\/\/(?:\S+(?::\S*)?@)?(?:(?!(?:10|127)(?:\.\d{1,3}){3})(?!(?:169\.254|192\.168)(?:\.\d{1,3}){2})(?!172\.(?:1[6-9]|2\d|3[0-1])(?:\.\d{1,3}){2})(?:[1-9]\d?|1\d\d|2[01]\d|22[0-3])(?:\.(?:1?\d{1,2}|2[0-4]\d|25[0-5])){2}(?:\.(?:[1-9]\d?|1\d\d|2[0-4]\d|25[0-4]))|(?:(?:[a-z0-9\u{00a1}-\u{ffff}]+-)*[a-z0-9\u{00a1}-\u{ffff}]+)(?:\.(?:[a-z0-9\u{00a1}-\u{ffff}]+-)*[a-z0-9\u{00a1}-\u{ffff}]+)*(?:\.(?:[a-z\u{00a1}-\u{ffff}]{2,})))(?::\d{2,5})?(?:\/[^\s]*)?$/iu,
+email:/^[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$/i,hostname:/^(?=.{1,253}\.?$)[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?(?:\.[a-z0-9](?:[-0-9a-z]{0,61}[0-9a-z])?)*\.?$/i,ipv4:/^(?:(?:25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)\.){3}(?:25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)$/,ipv6:/^((([0-9a-f]{1,4}:){7}([0-9a-f]{1,4}|:))|(([0-9a-f]{1,4}:){6}(:[0-9a-f]{1,4}|((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9a-f]{1,4}:){5}(((:[0-9a-f]{1,4}){1,2})|:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9a-f]{1,4}:){4}(((:[0-9a-f]{1,4}){1,3})|((:[0-9a-f]{1,4})?:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9a-f]{1,4}:){3}(((:[0-9a-f]{1,4}){1,4})|((:[0-9a-f]{1,4}){0,2}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9a-f]{1,4}:){2}(((:[0-9a-f]{1,4}){1,5})|((:[0-9a-f]{1,4}){0,3}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9a-f]{1,4}:){1}(((:[0-9a-f]{1,4}){1,6})|((:[0-9a-f]{1,4}){0,4}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(:(((:[0-9a-f]{1,4}){1,7})|((:[0-9a-f]{1,4}){0,5}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:)))$/i,
+regex,uuid:/^(?:urn:uuid:)?[0-9a-f]{8}-(?:[0-9a-f]{4}-){3}[0-9a-f]{12}$/i,"json-pointer":/^(?:\/(?:[^~/]|~0|~1)*)*$/,"json-pointer-uri-fragment":/^#(?:\/(?:[a-z0-9_\-.!$&'()*+,;:=@]|%[0-9a-f]{2}|~0|~1)*)*$/i,"relative-json-pointer":/^(?:0|[1-9][0-9]*)(?:#|(?:\/(?:[^~/]|~0|~1)*)*)$/,byte,int32:{type:"number",validate:validateInt32},int64:{type:"number",validate:validateInt64},float:{type:"number",validate:validateNumber},double:{type:"number",validate:validateNumber},password:!0,binary:!0},exports.
+fastFormats={...exports.fullFormats,date:fmtDef(/^\d\d\d\d-[0-1]\d-[0-3]\d$/,compareDate),time:fmtDef(/^(?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)$/i,compareTime),"date-time":fmtDef(/^\d\d\d\d-[0-1]\d-[0-3]\dt(?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)$/i,compareDateTime),"iso-time":fmtDef(/^(?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)?$/i,compareIsoTime),"iso-date-time":fmtDef(/^\d\d\d\d-[0-1]\d-[0-3]\d[t\s](?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)?$/i,
+compareIsoDateTime),uri:/^(?:[a-z][a-z0-9+\-.]*:)(?:\/?\/)?[^\s]*$/i,"uri-reference":/^(?:(?:[a-z][a-z0-9+\-.]*:)?\/?\/)?(?:[^\\\s#][^\s#]*)?(?:#[^\\\s]*)?$/i,email:/^[a-z0-9.!#$%&'*+/=?^_`{|}~-]+@[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?(?:\.[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?)*$/i},exports.formatNames=Object.keys(exports.fullFormats);function isLeapYear(year){return year%4===0&&(year%100!==0||year%400===0)}const DATE2=/^(\d\d\d\d)-(\d\d)-(\d\d)$/,DAYS=[0,31,28,31,30,31,30,31,31,30,31,30,31];function date2(str){
+const matches2=DATE2.exec(str);if(!matches2)return!1;const year=+matches2[1],month=+matches2[2],day=+matches2[3];return month>=1&&month<=12&&day>=1&&day<=(month===2&&isLeapYear(year)?29:DAYS[month])}function compareDate(d1,d2){if(d1&&d2)return d1>d2?1:d1<d2?-1:0}const TIME=/^(\d\d):(\d\d):(\d\d(?:\.\d+)?)(z|([+-])(\d\d)(?::?(\d\d))?)?$/i;function getTime(strictTimeZone){return function(str){const matches2=TIME.exec(str);if(!matches2)return!1;const hr=+matches2[1],min2=+matches2[2],sec=+matches2[3],
+tz=matches2[4],tzSign=matches2[5]==="-"?-1:1,tzH=+(matches2[6]||0),tzM=+(matches2[7]||0);if(tzH>23||tzM>59||strictTimeZone&&!tz)return!1;if(hr<=23&&min2<=59&&sec<60)return!0;const utcMin=min2-tzM*tzSign,utcHr=hr-tzH*tzSign-(utcMin<0?1:0);return(utcHr===23||utcHr===-1)&&(utcMin===59||utcMin===-1)&&sec<61}}function compareTime(s1,s2){if(!(s1&&s2))return;const t1=new Date("2020-01-01T"+s1).valueOf(),t2=new Date("2020-01-01T"+s2).valueOf();if(t1&&t2)return t1-t2}function compareIsoTime(t1,t2){if(!(t1&&
+t2))return;const a1=TIME.exec(t1),a2=TIME.exec(t2);if(a1&&a2)return t1=a1[1]+a1[2]+a1[3],t2=a2[1]+a2[2]+a2[3],t1>t2?1:t1<t2?-1:0}const DATE_TIME_SEPARATOR=/t|\s/i;function getDateTime(strictTimeZone){const time2=getTime(strictTimeZone);return function(str){const dateTime=str.split(DATE_TIME_SEPARATOR);return dateTime.length===2&&date2(dateTime[0])&&time2(dateTime[1])}}function compareDateTime(dt1,dt2){if(!(dt1&&dt2))return;const d1=new Date(dt1).valueOf(),d2=new Date(dt2).valueOf();if(d1&&d2)return d1-
+d2}function compareIsoDateTime(dt1,dt2){if(!(dt1&&dt2))return;const[d1,t1]=dt1.split(DATE_TIME_SEPARATOR),[d2,t2]=dt2.split(DATE_TIME_SEPARATOR),res=compareDate(d1,d2);if(res!==void 0)return res||compareTime(t1,t2)}const NOT_URI_FRAGMENT=/\/|:/,URI=/^(?:[a-z][a-z0-9+\-.]*:)(?:\/?\/(?:(?:[a-z0-9\-._~!$&'()*+,;=:]|%[0-9a-f]{2})*@)?(?:\[(?:(?:(?:(?:[0-9a-f]{1,4}:){6}|::(?:[0-9a-f]{1,4}:){5}|(?:[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){4}|(?:(?:[0-9a-f]{1,4}:){0,1}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){3}|(?:(?:[0-9a-f]{1,4}:){0,2}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){2}|(?:(?:[0-9a-f]{1,4}:){0,3}[0-9a-f]{1,4})?::[0-9a-f]{1,4}:|(?:(?:[0-9a-f]{1,4}:){0,4}[0-9a-f]{1,4})?::)(?:[0-9a-f]{1,4}:[0-9a-f]{1,4}|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?))|(?:(?:[0-9a-f]{1,4}:){0,5}[0-9a-f]{1,4})?::[0-9a-f]{1,4}|(?:(?:[0-9a-f]{1,4}:){0,6}[0-9a-f]{1,4})?::)|[Vv][0-9a-f]+\.[a-z0-9\-._~!$&'()*+,;=:]+)\]|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?)|(?:[a-z0-9\-._~!$&'()*+,;=]|%[0-9a-f]{2})*)(?::\d*)?(?:\/(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})*)*|\/(?:(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})*)*)?|(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})*)*)(?:\?(?:[a-z0-9\-._~!$&'()*+,;=:@/?]|%[0-9a-f]{2})*)?(?:#(?:[a-z0-9\-._~!$&'()*+,;=:@/?]|%[0-9a-f]{2})*)?$/i;
+function uri2(str){return NOT_URI_FRAGMENT.test(str)&&URI.test(str)}const BYTE=/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/gm;function byte(str){return BYTE.lastIndex=0,BYTE.test(str)}const MIN_INT32=-2147483648,MAX_INT32=2**31-1;function validateInt32(value){return Number.isInteger(value)&&value<=MAX_INT32&&value>=MIN_INT32}function validateInt64(value){return Number.isInteger(value)}function validateNumber(){return!0}const Z_ANCHOR=/[^\\]\\Z/;function regex(str){if(Z_ANCHOR.
+test(str))return!1;try{return new RegExp(str),!0}catch{return!1}}}(formats)),formats}var limit={},ajv={exports:{}},core$2={},validate={},boolSchema={},errors={},codegen={},code$4={},hasRequiredCode$1;function requireCode$1(){return hasRequiredCode$1||(hasRequiredCode$1=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.regexpCode=exports.getEsmExportName=exports.getProperty=exports.safeStringify=exports.stringify=exports.strConcat=exports.addCodeArg=exports.str=exports.
+_=exports.nil=exports._Code=exports.Name=exports.IDENTIFIER=exports._CodeOrName=void 0;class _CodeOrName{}exports._CodeOrName=_CodeOrName,exports.IDENTIFIER=/^[a-z$_][a-z$_0-9]*$/i;class Name extends _CodeOrName{constructor(s2){if(super(),!exports.IDENTIFIER.test(s2))throw new Error("CodeGen: name must be a valid identifier");this.str=s2}toString(){return this.str}emptyStr(){return!1}get names(){return{[this.str]:1}}}exports.Name=Name;class _Code extends _CodeOrName{constructor(code2){super(),this.
+_items=typeof code2=="string"?[code2]:code2}toString(){return this.str}emptyStr(){if(this._items.length>1)return!1;const item=this._items[0];return item===""||item==='""'}get str(){var _a2;return(_a2=this._str)!==null&&_a2!==void 0?_a2:this._str=this._items.reduce((s2,c2)=>`${s2}${c2}`,"")}get names(){var _a2;return(_a2=this._names)!==null&&_a2!==void 0?_a2:this._names=this._items.reduce((names2,c2)=>(c2 instanceof Name&&(names2[c2.str]=(names2[c2.str]||0)+1),names2),{})}}exports._Code=_Code,exports.
+nil=new _Code("");function _(strs,...args){const code2=[strs[0]];let i=0;for(;i<args.length;)addCodeArg(code2,args[i]),code2.push(strs[++i]);return new _Code(code2)}exports._=_;const plus=new _Code("+");function str(strs,...args){const expr=[safeStringify(strs[0])];let i=0;for(;i<args.length;)expr.push(plus),addCodeArg(expr,args[i]),expr.push(plus,safeStringify(strs[++i]));return optimize(expr),new _Code(expr)}exports.str=str;function addCodeArg(code2,arg){arg instanceof _Code?code2.push(...arg.
+_items):arg instanceof Name?code2.push(arg):code2.push(interpolate(arg))}exports.addCodeArg=addCodeArg;function optimize(expr){let i=1;for(;i<expr.length-1;){if(expr[i]===plus){const res=mergeExprItems(expr[i-1],expr[i+1]);if(res!==void 0){expr.splice(i-1,3,res);continue}expr[i++]="+"}i++}}function mergeExprItems(a,b){if(b==='""')return a;if(a==='""')return b;if(typeof a=="string")return b instanceof Name||a[a.length-1]!=='"'?void 0:typeof b!="string"?`${a.slice(0,-1)}${b}"`:b[0]==='"'?a.slice(0,
+-1)+b.slice(1):void 0;if(typeof b=="string"&&b[0]==='"'&&!(a instanceof Name))return`"${a}${b.slice(1)}`}function strConcat(c1,c2){return c2.emptyStr()?c1:c1.emptyStr()?c2:str`${c1}${c2}`}exports.strConcat=strConcat;function interpolate(x){return typeof x=="number"||typeof x=="boolean"||x===null?x:safeStringify(Array.isArray(x)?x.join(","):x)}function stringify2(x){return new _Code(safeStringify(x))}exports.stringify=stringify2;function safeStringify(x){return JSON.stringify(x).replace(/\u2028/g,
+"\\u2028").replace(/\u2029/g,"\\u2029")}exports.safeStringify=safeStringify;function getProperty(key2){return typeof key2=="string"&&exports.IDENTIFIER.test(key2)?new _Code(`.${key2}`):_`[${key2}]`}exports.getProperty=getProperty;function getEsmExportName(key2){if(typeof key2=="string"&&exports.IDENTIFIER.test(key2))return new _Code(`${key2}`);throw new Error(`CodeGen: invalid export name: ${key2}, use explicit $id name mapping`)}exports.getEsmExportName=getEsmExportName;function regexpCode(rx){
+return new _Code(rx.toString())}exports.regexpCode=regexpCode}(code$4)),code$4}var scope={},hasRequiredScope;function requireScope(){return hasRequiredScope||(hasRequiredScope=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.ValueScope=exports.ValueScopeName=exports.Scope=exports.varKinds=exports.UsedValueState=void 0;const code_1=requireCode$1();class ValueError extends Error{constructor(name){super(`CodeGen: "code" for ${name} not defined`),this.value=name.value}}
+var UsedValueState;(function(UsedValueState2){UsedValueState2[UsedValueState2.Started=0]="Started",UsedValueState2[UsedValueState2.Completed=1]="Completed"})(UsedValueState||(exports.UsedValueState=UsedValueState={})),exports.varKinds={const:new code_1.Name("const"),let:new code_1.Name("let"),var:new code_1.Name("var")};class Scope{constructor({prefixes,parent}={}){this._names={},this._prefixes=prefixes,this._parent=parent}toName(nameOrPrefix){return nameOrPrefix instanceof code_1.Name?nameOrPrefix:
+this.name(nameOrPrefix)}name(prefix){return new code_1.Name(this._newName(prefix))}_newName(prefix){const ng=this._names[prefix]||this._nameGroup(prefix);return`${prefix}${ng.index++}`}_nameGroup(prefix){var _a2,_b;if(!((_b=(_a2=this._parent)===null||_a2===void 0?void 0:_a2._prefixes)===null||_b===void 0)&&_b.has(prefix)||this._prefixes&&!this._prefixes.has(prefix))throw new Error(`CodeGen: prefix "${prefix}" is not allowed in this scope`);return this._names[prefix]={prefix,index:0}}}exports.Scope=
+Scope;class ValueScopeName extends code_1.Name{constructor(prefix,nameStr){super(nameStr),this.prefix=prefix}setValue(value,{property,itemIndex}){this.value=value,this.scopePath=(0,code_1._)`.${new code_1.Name(property)}[${itemIndex}]`}}exports.ValueScopeName=ValueScopeName;const line=(0,code_1._)`\n`;class ValueScope extends Scope{constructor(opts){super(opts),this._values={},this._scope=opts.scope,this.opts={...opts,_n:opts.lines?line:code_1.nil}}get(){return this._scope}name(prefix){return new ValueScopeName(
+prefix,this._newName(prefix))}value(nameOrPrefix,value){var _a2;if(value.ref===void 0)throw new Error("CodeGen: ref must be passed in value");const name=this.toName(nameOrPrefix),{prefix}=name,valueKey=(_a2=value.key)!==null&&_a2!==void 0?_a2:value.ref;let vs=this._values[prefix];if(vs){const _name=vs.get(valueKey);if(_name)return _name}else vs=this._values[prefix]=new Map;vs.set(valueKey,name);const s2=this._scope[prefix]||(this._scope[prefix]=[]),itemIndex=s2.length;return s2[itemIndex]=value.
+ref,name.setValue(value,{property:prefix,itemIndex}),name}getValue(prefix,keyOrRef){const vs=this._values[prefix];if(vs)return vs.get(keyOrRef)}scopeRefs(scopeName,values=this._values){return this._reduceValues(values,name=>{if(name.scopePath===void 0)throw new Error(`CodeGen: name "${name}" has no value`);return(0,code_1._)`${scopeName}${name.scopePath}`})}scopeCode(values=this._values,usedValues,getCode){return this._reduceValues(values,name=>{if(name.value===void 0)throw new Error(`CodeGen: n\
+ame "${name}" has no value`);return name.value.code},usedValues,getCode)}_reduceValues(values,valueCode,usedValues={},getCode){let code2=code_1.nil;for(const prefix in values){const vs=values[prefix];if(!vs)continue;const nameSet=usedValues[prefix]=usedValues[prefix]||new Map;vs.forEach(name=>{if(nameSet.has(name))return;nameSet.set(name,UsedValueState.Started);let c2=valueCode(name);if(c2){const def=this.opts.es5?exports.varKinds.var:exports.varKinds.const;code2=(0,code_1._)`${code2}${def} ${name} = ${c2};${this.
+opts._n}`}else if(c2=getCode?.(name))code2=(0,code_1._)`${code2}${c2}${this.opts._n}`;else throw new ValueError(name);nameSet.set(name,UsedValueState.Completed)})}return code2}}exports.ValueScope=ValueScope}(scope)),scope}var hasRequiredCodegen;function requireCodegen(){return hasRequiredCodegen||(hasRequiredCodegen=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.or=exports.and=exports.not=exports.CodeGen=exports.operators=exports.varKinds=exports.ValueScopeName=
+exports.ValueScope=exports.Scope=exports.Name=exports.regexpCode=exports.stringify=exports.getProperty=exports.nil=exports.strConcat=exports.str=exports._=void 0;const code_1=requireCode$1(),scope_1=requireScope();var code_2=requireCode$1();Object.defineProperty(exports,"_",{enumerable:!0,get:function(){return code_2._}}),Object.defineProperty(exports,"str",{enumerable:!0,get:function(){return code_2.str}}),Object.defineProperty(exports,"strConcat",{enumerable:!0,get:function(){return code_2.strConcat}}),
+Object.defineProperty(exports,"nil",{enumerable:!0,get:function(){return code_2.nil}}),Object.defineProperty(exports,"getProperty",{enumerable:!0,get:function(){return code_2.getProperty}}),Object.defineProperty(exports,"stringify",{enumerable:!0,get:function(){return code_2.stringify}}),Object.defineProperty(exports,"regexpCode",{enumerable:!0,get:function(){return code_2.regexpCode}}),Object.defineProperty(exports,"Name",{enumerable:!0,get:function(){return code_2.Name}});var scope_2=requireScope();
+Object.defineProperty(exports,"Scope",{enumerable:!0,get:function(){return scope_2.Scope}}),Object.defineProperty(exports,"ValueScope",{enumerable:!0,get:function(){return scope_2.ValueScope}}),Object.defineProperty(exports,"ValueScopeName",{enumerable:!0,get:function(){return scope_2.ValueScopeName}}),Object.defineProperty(exports,"varKinds",{enumerable:!0,get:function(){return scope_2.varKinds}}),exports.operators={GT:new code_1._Code(">"),GTE:new code_1._Code(">="),LT:new code_1._Code("<"),LTE:new code_1.
+_Code("<="),EQ:new code_1._Code("==="),NEQ:new code_1._Code("!=="),NOT:new code_1._Code("!"),OR:new code_1._Code("||"),AND:new code_1._Code("&&"),ADD:new code_1._Code("+")};class Node2{optimizeNodes(){return this}optimizeNames(_names,_constants){return this}}class Def extends Node2{constructor(varKind,name,rhs){super(),this.varKind=varKind,this.name=name,this.rhs=rhs}render({es5,_n}){const varKind=es5?scope_1.varKinds.var:this.varKind,rhs=this.rhs===void 0?"":` = ${this.rhs}`;return`${varKind} ${this.
+name}${rhs};`+_n}optimizeNames(names2,constants2){if(names2[this.name.str])return this.rhs&&(this.rhs=optimizeExpr(this.rhs,names2,constants2)),this}get names(){return this.rhs instanceof code_1._CodeOrName?this.rhs.names:{}}}class Assign extends Node2{constructor(lhs,rhs,sideEffects){super(),this.lhs=lhs,this.rhs=rhs,this.sideEffects=sideEffects}render({_n}){return`${this.lhs} = ${this.rhs};`+_n}optimizeNames(names2,constants2){if(!(this.lhs instanceof code_1.Name&&!names2[this.lhs.str]&&!this.
+sideEffects))return this.rhs=optimizeExpr(this.rhs,names2,constants2),this}get names(){const names2=this.lhs instanceof code_1.Name?{}:{...this.lhs.names};return addExprNames(names2,this.rhs)}}class AssignOp extends Assign{constructor(lhs,op2,rhs,sideEffects){super(lhs,rhs,sideEffects),this.op=op2}render({_n}){return`${this.lhs} ${this.op}= ${this.rhs};`+_n}}class Label2 extends Node2{constructor(label){super(),this.label=label,this.names={}}render({_n}){return`${this.label}:`+_n}}class Break extends Node2{constructor(label){
+super(),this.label=label,this.names={}}render({_n}){return`break${this.label?` ${this.label}`:""};`+_n}}class Throw extends Node2{constructor(error2){super(),this.error=error2}render({_n}){return`throw ${this.error};`+_n}get names(){return this.error.names}}class AnyCode extends Node2{constructor(code2){super(),this.code=code2}render({_n}){return`${this.code};`+_n}optimizeNodes(){return`${this.code}`?this:void 0}optimizeNames(names2,constants2){return this.code=optimizeExpr(this.code,names2,constants2),
+this}get names(){return this.code instanceof code_1._CodeOrName?this.code.names:{}}}class ParentNode extends Node2{constructor(nodes2=[]){super(),this.nodes=nodes2}render(opts){return this.nodes.reduce((code2,n)=>code2+n.render(opts),"")}optimizeNodes(){const{nodes:nodes2}=this;let i=nodes2.length;for(;i--;){const n=nodes2[i].optimizeNodes();Array.isArray(n)?nodes2.splice(i,1,...n):n?nodes2[i]=n:nodes2.splice(i,1)}return nodes2.length>0?this:void 0}optimizeNames(names2,constants2){const{nodes:nodes2}=this;
+let i=nodes2.length;for(;i--;){const n=nodes2[i];n.optimizeNames(names2,constants2)||(subtractNames(names2,n.names),nodes2.splice(i,1))}return nodes2.length>0?this:void 0}get names(){return this.nodes.reduce((names2,n)=>addNames(names2,n.names),{})}}class BlockNode extends ParentNode{render(opts){return"{"+opts._n+super.render(opts)+"}"+opts._n}}class Root2 extends ParentNode{}class Else extends BlockNode{}Else.kind="else";class If extends BlockNode{constructor(condition,nodes2){super(nodes2),this.
+condition=condition}render(opts){let code2=`if(${this.condition})`+super.render(opts);return this.else&&(code2+="else "+this.else.render(opts)),code2}optimizeNodes(){super.optimizeNodes();const cond=this.condition;if(cond===!0)return this.nodes;let e=this.else;if(e){const ns=e.optimizeNodes();e=this.else=Array.isArray(ns)?new Else(ns):ns}if(e)return cond===!1?e instanceof If?e:e.nodes:this.nodes.length?this:new If(not2(cond),e instanceof If?[e]:e.nodes);if(!(cond===!1||!this.nodes.length))return this}optimizeNames(names2,constants2){
+var _a2;if(this.else=(_a2=this.else)===null||_a2===void 0?void 0:_a2.optimizeNames(names2,constants2),!!(super.optimizeNames(names2,constants2)||this.else))return this.condition=optimizeExpr(this.condition,names2,constants2),this}get names(){const names2=super.names;return addExprNames(names2,this.condition),this.else&&addNames(names2,this.else.names),names2}}If.kind="if";class For extends BlockNode{}For.kind="for";class ForLoop extends For{constructor(iteration){super(),this.iteration=iteration}render(opts){
+return`for(${this.iteration})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.iteration=optimizeExpr(this.iteration,names2,constants2),this}get names(){return addNames(super.names,this.iteration.names)}}class ForRange extends For{constructor(varKind,name,from,to){super(),this.varKind=varKind,this.name=name,this.from=from,this.to=to}render(opts){const varKind=opts.es5?scope_1.varKinds.var:this.varKind,{name,from,to}=this;return`for(${varKind}\
+ ${name}=${from}; ${name}<${to}; ${name}++)`+super.render(opts)}get names(){const names2=addExprNames(super.names,this.from);return addExprNames(names2,this.to)}}class ForIter extends For{constructor(loop2,varKind,name,iterable){super(),this.loop=loop2,this.varKind=varKind,this.name=name,this.iterable=iterable}render(opts){return`for(${this.varKind} ${this.name} ${this.loop} ${this.iterable})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.
+iterable=optimizeExpr(this.iterable,names2,constants2),this}get names(){return addNames(super.names,this.iterable.names)}}class Func extends BlockNode{constructor(name,args,async){super(),this.name=name,this.args=args,this.async=async}render(opts){return`${this.async?"async ":""}function ${this.name}(${this.args})`+super.render(opts)}}Func.kind="func";class Return extends ParentNode{render(opts){return"return "+super.render(opts)}}Return.kind="return";class Try extends BlockNode{render(opts){let code2="\
+try"+super.render(opts);return this.catch&&(code2+=this.catch.render(opts)),this.finally&&(code2+=this.finally.render(opts)),code2}optimizeNodes(){var _a2,_b;return super.optimizeNodes(),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNodes(),(_b=this.finally)===null||_b===void 0||_b.optimizeNodes(),this}optimizeNames(names2,constants2){var _a2,_b;return super.optimizeNames(names2,constants2),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNames(names2,constants2),(_b=this.finally)===null||
+_b===void 0||_b.optimizeNames(names2,constants2),this}get names(){const names2=super.names;return this.catch&&addNames(names2,this.catch.names),this.finally&&addNames(names2,this.finally.names),names2}}class Catch extends BlockNode{constructor(error2){super(),this.error=error2}render(opts){return`catch(${this.error})`+super.render(opts)}}Catch.kind="catch";class Finally extends BlockNode{render(opts){return"finally"+super.render(opts)}}Finally.kind="finally";class CodeGen{constructor(extScope,opts={}){
+this._values={},this._blockStarts=[],this._constants={},this.opts={...opts,_n:opts.lines?`
+`:""},this._extScope=extScope,this._scope=new scope_1.Scope({parent:extScope}),this._nodes=[new Root2]}toString(){return this._root.render(this.opts)}name(prefix){return this._scope.name(prefix)}scopeName(prefix){return this._extScope.name(prefix)}scopeValue(prefixOrName,value){const name=this._extScope.value(prefixOrName,value);return(this._values[name.prefix]||(this._values[name.prefix]=new Set)).add(name),name}getScopeValue(prefix,keyOrRef){return this._extScope.getValue(prefix,keyOrRef)}scopeRefs(scopeName){
+return this._extScope.scopeRefs(scopeName,this._values)}scopeCode(){return this._extScope.scopeCode(this._values)}_def(varKind,nameOrPrefix,rhs,constant){const name=this._scope.toName(nameOrPrefix);return rhs!==void 0&&constant&&(this._constants[name.str]=rhs),this._leafNode(new Def(varKind,name,rhs)),name}const(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.const,nameOrPrefix,rhs,_constant)}let(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.let,nameOrPrefix,rhs,_constant)}var(nameOrPrefix,rhs,_constant){
+return this._def(scope_1.varKinds.var,nameOrPrefix,rhs,_constant)}assign(lhs,rhs,sideEffects){return this._leafNode(new Assign(lhs,rhs,sideEffects))}add(lhs,rhs){return this._leafNode(new AssignOp(lhs,exports.operators.ADD,rhs))}code(c2){return typeof c2=="function"?c2():c2!==code_1.nil&&this._leafNode(new AnyCode(c2)),this}object(...keyValues){const code2=["{"];for(const[key2,value]of keyValues)code2.length>1&&code2.push(","),code2.push(key2),(key2!==value||this.opts.es5)&&(code2.push(":"),(0,code_1.
+addCodeArg)(code2,value));return code2.push("}"),new code_1._Code(code2)}if(condition,thenBody,elseBody){if(this._blockNode(new If(condition)),thenBody&&elseBody)this.code(thenBody).else().code(elseBody).endIf();else if(thenBody)this.code(thenBody).endIf();else if(elseBody)throw new Error('CodeGen: "else" body without "then" body');return this}elseIf(condition){return this._elseNode(new If(condition))}else(){return this._elseNode(new Else)}endIf(){return this._endBlockNode(If,Else)}_for(node2,forBody){
+return this._blockNode(node2),forBody&&this.code(forBody).endFor(),this}for(iteration,forBody){return this._for(new ForLoop(iteration),forBody)}forRange(nameOrPrefix,from,to,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.let){const name=this._scope.toName(nameOrPrefix);return this._for(new ForRange(varKind,name,from,to),()=>forBody(name))}forOf(nameOrPrefix,iterable,forBody,varKind=scope_1.varKinds.const){const name=this._scope.toName(nameOrPrefix);if(this.opts.es5){const arr=iterable instanceof
+code_1.Name?iterable:this.var("_arr",iterable);return this.forRange("_i",0,(0,code_1._)`${arr}.length`,i=>{this.var(name,(0,code_1._)`${arr}[${i}]`),forBody(name)})}return this._for(new ForIter("of",varKind,name,iterable),()=>forBody(name))}forIn(nameOrPrefix,obj,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.const){if(this.opts.ownProperties)return this.forOf(nameOrPrefix,(0,code_1._)`Object.keys(${obj})`,forBody);const name=this._scope.toName(nameOrPrefix);return this._for(
+new ForIter("in",varKind,name,obj),()=>forBody(name))}endFor(){return this._endBlockNode(For)}label(label){return this._leafNode(new Label2(label))}break(label){return this._leafNode(new Break(label))}return(value){const node2=new Return;if(this._blockNode(node2),this.code(value),node2.nodes.length!==1)throw new Error('CodeGen: "return" should have one node');return this._endBlockNode(Return)}try(tryBody,catchCode,finallyCode){if(!catchCode&&!finallyCode)throw new Error('CodeGen: "try" without "\
+catch" and "finally"');const node2=new Try;if(this._blockNode(node2),this.code(tryBody),catchCode){const error2=this.name("e");this._currNode=node2.catch=new Catch(error2),catchCode(error2)}return finallyCode&&(this._currNode=node2.finally=new Finally,this.code(finallyCode)),this._endBlockNode(Catch,Finally)}throw(error2){return this._leafNode(new Throw(error2))}block(body2,nodeCount){return this._blockStarts.push(this._nodes.length),body2&&this.code(body2).endBlock(nodeCount),this}endBlock(nodeCount){
+const len=this._blockStarts.pop();if(len===void 0)throw new Error("CodeGen: not in self-balancing block");const toClose=this._nodes.length-len;if(toClose<0||nodeCount!==void 0&&toClose!==nodeCount)throw new Error(`CodeGen: wrong number of nodes: ${toClose} vs ${nodeCount} expected`);return this._nodes.length=len,this}func(name,args=code_1.nil,async,funcBody){return this._blockNode(new Func(name,args,async)),funcBody&&this.code(funcBody).endFunc(),this}endFunc(){return this._endBlockNode(Func)}optimize(n=1){
+for(;n-- >0;)this._root.optimizeNodes(),this._root.optimizeNames(this._root.names,this._constants)}_leafNode(node2){return this._currNode.nodes.push(node2),this}_blockNode(node2){this._currNode.nodes.push(node2),this._nodes.push(node2)}_endBlockNode(N1,N2){const n=this._currNode;if(n instanceof N1||N2&&n instanceof N2)return this._nodes.pop(),this;throw new Error(`CodeGen: not in block "${N2?`${N1.kind}/${N2.kind}`:N1.kind}"`)}_elseNode(node2){const n=this._currNode;if(!(n instanceof If))throw new Error(
+'CodeGen: "else" without "if"');return this._currNode=n.else=node2,this}get _root(){return this._nodes[0]}get _currNode(){const ns=this._nodes;return ns[ns.length-1]}set _currNode(node2){const ns=this._nodes;ns[ns.length-1]=node2}}exports.CodeGen=CodeGen;function addNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)+(from[n]||0);return names2}function addExprNames(names2,from){return from instanceof code_1._CodeOrName?addNames(names2,from.names):names2}function optimizeExpr(expr,names2,constants2){
+if(expr instanceof code_1.Name)return replaceName(expr);if(!canOptimize(expr))return expr;return new code_1._Code(expr._items.reduce((items2,c2)=>(c2 instanceof code_1.Name&&(c2=replaceName(c2)),c2 instanceof code_1._Code?items2.push(...c2._items):items2.push(c2),items2),[]));function replaceName(n){const c2=constants2[n.str];return c2===void 0||names2[n.str]!==1?n:(delete names2[n.str],c2)}function canOptimize(e){return e instanceof code_1._Code&&e._items.some(c2=>c2 instanceof code_1.Name&&names2[c2.
+str]===1&&constants2[c2.str]!==void 0)}}function subtractNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)-(from[n]||0)}function not2(x){return typeof x=="boolean"||typeof x=="number"||x===null?!x:(0,code_1._)`!${par(x)}`}exports.not=not2;const andCode=mappend(exports.operators.AND);function and(...args){return args.reduce(andCode)}exports.and=and;const orCode=mappend(exports.operators.OR);function or(...args){return args.reduce(orCode)}exports.or=or;function mappend(op2){return(x,y)=>x===
+code_1.nil?y:y===code_1.nil?x:(0,code_1._)`${par(x)} ${op2} ${par(y)}`}function par(x){return x instanceof code_1.Name?x:(0,code_1._)`(${x})`}}(codegen)),codegen}var util={},hasRequiredUtil;function requireUtil(){if(hasRequiredUtil)return util;hasRequiredUtil=1,Object.defineProperty(util,"__esModule",{value:!0}),util.checkStrictMode=util.getErrorPath=util.Type=util.useFunc=util.setEvaluated=util.evaluatedPropsToName=util.mergeEvaluated=util.eachItem=util.unescapeJsonPointer=util.escapeJsonPointer=
+util.escapeFragment=util.unescapeFragment=util.schemaRefOrVal=util.schemaHasRulesButRef=util.schemaHasRules=util.checkUnknownRules=util.alwaysValidSchema=util.toHash=void 0;const codegen_1=requireCodegen(),code_1=requireCode$1();function toHash(arr){const hash2={};for(const item of arr)hash2[item]=!0;return hash2}util.toHash=toHash;function alwaysValidSchema(it,schema){return typeof schema=="boolean"?schema:Object.keys(schema).length===0?!0:(checkUnknownRules(it,schema),!schemaHasRules(schema,it.
+self.RULES.all))}util.alwaysValidSchema=alwaysValidSchema;function checkUnknownRules(it,schema=it.schema){const{opts,self:self2}=it;if(!opts.strictSchema||typeof schema=="boolean")return;const rules2=self2.RULES.keywords;for(const key2 in schema)rules2[key2]||checkStrictMode(it,`unknown keyword: "${key2}"`)}util.checkUnknownRules=checkUnknownRules;function schemaHasRules(schema,rules2){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(rules2[key2])return!0;return!1}util.schemaHasRules=
+schemaHasRules;function schemaHasRulesButRef(schema,RULES){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(key2!=="$ref"&&RULES.all[key2])return!0;return!1}util.schemaHasRulesButRef=schemaHasRulesButRef;function schemaRefOrVal({topSchemaRef,schemaPath},schema,keyword2,$data){if(!$data){if(typeof schema=="number"||typeof schema=="boolean")return schema;if(typeof schema=="string")return(0,codegen_1._)`${schema}`}return(0,codegen_1._)`${topSchemaRef}${schemaPath}${(0,codegen_1.
+getProperty)(keyword2)}`}util.schemaRefOrVal=schemaRefOrVal;function unescapeFragment(str){return unescapeJsonPointer(decodeURIComponent(str))}util.unescapeFragment=unescapeFragment;function escapeFragment(str){return encodeURIComponent(escapeJsonPointer(str))}util.escapeFragment=escapeFragment;function escapeJsonPointer(str){return typeof str=="number"?`${str}`:str.replace(/~/g,"~0").replace(/\//g,"~1")}util.escapeJsonPointer=escapeJsonPointer;function unescapeJsonPointer(str){return str.replace(
+/~1/g,"/").replace(/~0/g,"~")}util.unescapeJsonPointer=unescapeJsonPointer;function eachItem(xs,f){if(Array.isArray(xs))for(const x of xs)f(x);else f(xs)}util.eachItem=eachItem;function makeMergeEvaluated({mergeNames,mergeToName,mergeValues:mergeValues2,resultToName}){return(gen,from,to,toName)=>{const res=to===void 0?from:to instanceof codegen_1.Name?(from instanceof codegen_1.Name?mergeNames(gen,from,to):mergeToName(gen,from,to),to):from instanceof codegen_1.Name?(mergeToName(gen,to,from),from):
+mergeValues2(from,to);return toName===codegen_1.Name&&!(res instanceof codegen_1.Name)?resultToName(gen,res):res}}util.mergeEvaluated={props:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>{gen.if((0,codegen_1._)`${from} === true`,()=>gen.assign(to,!0),()=>gen.assign(to,(0,codegen_1._)`${to} || {}`).code((0,codegen_1._)`Object.assign(${to}, ${from})`))}),mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,()=>{from===
+!0?gen.assign(to,!0):(gen.assign(to,(0,codegen_1._)`${to} || {}`),setEvaluated(gen,to,from))}),mergeValues:(from,to)=>from===!0?!0:{...from,...to},resultToName:evaluatedPropsToName}),items:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>gen.assign(to,(0,codegen_1._)`${from} === true ? true : ${to} > ${from} ? ${to} : ${from}`)),mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,()=>gen.assign(to,from===!0?!0:(0,codegen_1.
+_)`${to} > ${from} ? ${to} : ${from}`)),mergeValues:(from,to)=>from===!0?!0:Math.max(from,to),resultToName:(gen,items2)=>gen.var("items",items2)})};function evaluatedPropsToName(gen,ps){if(ps===!0)return gen.var("props",!0);const props=gen.var("props",(0,codegen_1._)`{}`);return ps!==void 0&&setEvaluated(gen,props,ps),props}util.evaluatedPropsToName=evaluatedPropsToName;function setEvaluated(gen,props,ps){Object.keys(ps).forEach(p2=>gen.assign((0,codegen_1._)`${props}${(0,codegen_1.getProperty)(
+p2)}`,!0))}util.setEvaluated=setEvaluated;const snippets={};function useFunc(gen,f){return gen.scopeValue("func",{ref:f,code:snippets[f.code]||(snippets[f.code]=new code_1._Code(f.code))})}util.useFunc=useFunc;var Type;(function(Type2){Type2[Type2.Num=0]="Num",Type2[Type2.Str=1]="Str"})(Type||(util.Type=Type={}));function getErrorPath(dataProp,dataPropType,jsPropertySyntax){if(dataProp instanceof codegen_1.Name){const isNumber2=dataPropType===Type.Num;return jsPropertySyntax?isNumber2?(0,codegen_1.
+_)`"[" + ${dataProp} + "]"`:(0,codegen_1._)`"['" + ${dataProp} + "']"`:isNumber2?(0,codegen_1._)`"/" + ${dataProp}`:(0,codegen_1._)`"/" + ${dataProp}.replace(/~/g, "~0").replace(/\\//g, "~1")`}return jsPropertySyntax?(0,codegen_1.getProperty)(dataProp).toString():"/"+escapeJsonPointer(dataProp)}util.getErrorPath=getErrorPath;function checkStrictMode(it,msg,mode=it.opts.strictSchema){if(mode){if(msg=`strict mode: ${msg}`,mode===!0)throw new Error(msg);it.self.logger.warn(msg)}}return util.checkStrictMode=
+checkStrictMode,util}var names={},hasRequiredNames;function requireNames(){if(hasRequiredNames)return names;hasRequiredNames=1,Object.defineProperty(names,"__esModule",{value:!0});const codegen_1=requireCodegen(),names$12={data:new codegen_1.Name("data"),valCxt:new codegen_1.Name("valCxt"),instancePath:new codegen_1.Name("instancePath"),parentData:new codegen_1.Name("parentData"),parentDataProperty:new codegen_1.Name("parentDataProperty"),rootData:new codegen_1.Name("rootData"),dynamicAnchors:new codegen_1.
+Name("dynamicAnchors"),vErrors:new codegen_1.Name("vErrors"),errors:new codegen_1.Name("errors"),this:new codegen_1.Name("this"),self:new codegen_1.Name("self"),scope:new codegen_1.Name("scope"),json:new codegen_1.Name("json"),jsonPos:new codegen_1.Name("jsonPos"),jsonLen:new codegen_1.Name("jsonLen"),jsonPart:new codegen_1.Name("jsonPart")};return names.default=names$12,names}var hasRequiredErrors;function requireErrors(){return hasRequiredErrors||(hasRequiredErrors=1,function(exports){Object.defineProperty(
+exports,"__esModule",{value:!0}),exports.extendErrors=exports.resetErrorsCount=exports.reportExtraError=exports.reportError=exports.keyword$DataError=exports.keywordError=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),names_1=requireNames();exports.keywordError={message:({keyword:keyword2})=>(0,codegen_1.str)`must pass "${keyword2}" keyword validation`},exports.keyword$DataError={message:({keyword:keyword2,schemaType})=>schemaType?(0,codegen_1.str)`"${keyword2}" keyword must be ${schemaType} ($data)`:
+(0,codegen_1.str)`"${keyword2}" keyword is invalid ($data)`};function reportError(cxt,error2=exports.keywordError,errorPaths,overrideAllErrors){const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(cxt,error2,errorPaths);overrideAllErrors??(compositeRule||allErrors)?addError(gen,errObj):returnErrors(it,(0,codegen_1._)`[${errObj}]`)}exports.reportError=reportError;function reportExtraError(cxt,error2=exports.keywordError,errorPaths){const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(
+cxt,error2,errorPaths);addError(gen,errObj),compositeRule||allErrors||returnErrors(it,names_1.default.vErrors)}exports.reportExtraError=reportExtraError;function resetErrorsCount(gen,errsCount){gen.assign(names_1.default.errors,errsCount),gen.if((0,codegen_1._)`${names_1.default.vErrors} !== null`,()=>gen.if(errsCount,()=>gen.assign((0,codegen_1._)`${names_1.default.vErrors}.length`,errsCount),()=>gen.assign(names_1.default.vErrors,null)))}exports.resetErrorsCount=resetErrorsCount;function extendErrors({
+gen,keyword:keyword2,schemaValue,data,errsCount,it}){if(errsCount===void 0)throw new Error("ajv implementation error");const err=gen.name("err");gen.forRange("i",errsCount,names_1.default.errors,i=>{gen.const(err,(0,codegen_1._)`${names_1.default.vErrors}[${i}]`),gen.if((0,codegen_1._)`${err}.instancePath === undefined`,()=>gen.assign((0,codegen_1._)`${err}.instancePath`,(0,codegen_1.strConcat)(names_1.default.instancePath,it.errorPath))),gen.assign((0,codegen_1._)`${err}.schemaPath`,(0,codegen_1.
+str)`${it.errSchemaPath}/${keyword2}`),it.opts.verbose&&(gen.assign((0,codegen_1._)`${err}.schema`,schemaValue),gen.assign((0,codegen_1._)`${err}.data`,data))})}exports.extendErrors=extendErrors;function addError(gen,errObj){const err=gen.const("err",errObj);gen.if((0,codegen_1._)`${names_1.default.vErrors} === null`,()=>gen.assign(names_1.default.vErrors,(0,codegen_1._)`[${err}]`),(0,codegen_1._)`${names_1.default.vErrors}.push(${err})`),gen.code((0,codegen_1._)`${names_1.default.errors}++`)}function returnErrors(it,errs){
+const{gen,validateName,schemaEnv}=it;schemaEnv.$async?gen.throw((0,codegen_1._)`new ${it.ValidationError}(${errs})`):(gen.assign((0,codegen_1._)`${validateName}.errors`,errs),gen.return(!1))}const E={keyword:new codegen_1.Name("keyword"),schemaPath:new codegen_1.Name("schemaPath"),params:new codegen_1.Name("params"),propertyName:new codegen_1.Name("propertyName"),message:new codegen_1.Name("message"),schema:new codegen_1.Name("schema"),parentSchema:new codegen_1.Name("parentSchema")};function errorObjectCode(cxt,error2,errorPaths){
+const{createErrors}=cxt.it;return createErrors===!1?(0,codegen_1._)`{}`:errorObject(cxt,error2,errorPaths)}function errorObject(cxt,error2,errorPaths={}){const{gen,it}=cxt,keyValues=[errorInstancePath(it,errorPaths),errorSchemaPath(cxt,errorPaths)];return extraErrorProps(cxt,error2,keyValues),gen.object(...keyValues)}function errorInstancePath({errorPath},{instancePath}){const instPath=instancePath?(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(instancePath,util_1.Type.Str)}`:errorPath;
+return[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,instPath)]}function errorSchemaPath({keyword:keyword2,it:{errSchemaPath}},{schemaPath,parentSchema}){let schPath=parentSchema?errSchemaPath:(0,codegen_1.str)`${errSchemaPath}/${keyword2}`;return schemaPath&&(schPath=(0,codegen_1.str)`${schPath}${(0,util_1.getErrorPath)(schemaPath,util_1.Type.Str)}`),[E.schemaPath,schPath]}function extraErrorProps(cxt,{params,message},keyValues){const{keyword:keyword2,data,schemaValue,
+it}=cxt,{opts,propertyName,topSchemaRef,schemaPath}=it;keyValues.push([E.keyword,keyword2],[E.params,typeof params=="function"?params(cxt):params||(0,codegen_1._)`{}`]),opts.messages&&keyValues.push([E.message,typeof message=="function"?message(cxt):message]),opts.verbose&&keyValues.push([E.schema,schemaValue],[E.parentSchema,(0,codegen_1._)`${topSchemaRef}${schemaPath}`],[names_1.default.data,data]),propertyName&&keyValues.push([E.propertyName,propertyName])}}(errors)),errors}var hasRequiredBoolSchema;
+function requireBoolSchema(){if(hasRequiredBoolSchema)return boolSchema;hasRequiredBoolSchema=1,Object.defineProperty(boolSchema,"__esModule",{value:!0}),boolSchema.boolOrEmptySchema=boolSchema.topBoolOrEmptySchema=void 0;const errors_1=requireErrors(),codegen_1=requireCodegen(),names_1=requireNames(),boolError={message:"boolean schema is false"};function topBoolOrEmptySchema(it){const{gen,schema,validateName}=it;schema===!1?falseSchemaError(it,!1):typeof schema=="object"&&schema.$async===!0?gen.
+return(names_1.default.data):(gen.assign((0,codegen_1._)`${validateName}.errors`,null),gen.return(!0))}boolSchema.topBoolOrEmptySchema=topBoolOrEmptySchema;function boolOrEmptySchema(it,valid2){const{gen,schema}=it;schema===!1?(gen.var(valid2,!1),falseSchemaError(it)):gen.var(valid2,!0)}boolSchema.boolOrEmptySchema=boolOrEmptySchema;function falseSchemaError(it,overrideAllErrors){const{gen,data}=it,cxt={gen,keyword:"false schema",data,schema:!1,schemaCode:!1,schemaValue:!1,params:{},it};(0,errors_1.
+reportError)(cxt,boolError,void 0,overrideAllErrors)}return boolSchema}var dataType={},rules={},hasRequiredRules;function requireRules(){if(hasRequiredRules)return rules;hasRequiredRules=1,Object.defineProperty(rules,"__esModule",{value:!0}),rules.getRules=rules.isJSONType=void 0;const _jsonTypes=["string","number","integer","boolean","null","object","array"],jsonTypes=new Set(_jsonTypes);function isJSONType(x){return typeof x=="string"&&jsonTypes.has(x)}rules.isJSONType=isJSONType;function getRules(){
+const groups={number:{type:"number",rules:[]},string:{type:"string",rules:[]},array:{type:"array",rules:[]},object:{type:"object",rules:[]}};return{types:{...groups,integer:!0,boolean:!0,null:!0},rules:[{rules:[]},groups.number,groups.string,groups.array,groups.object],post:{rules:[]},all:{},keywords:{}}}return rules.getRules=getRules,rules}var applicability={},hasRequiredApplicability;function requireApplicability(){if(hasRequiredApplicability)return applicability;hasRequiredApplicability=1,Object.
+defineProperty(applicability,"__esModule",{value:!0}),applicability.shouldUseRule=applicability.shouldUseGroup=applicability.schemaHasRulesForType=void 0;function schemaHasRulesForType({schema,self:self2},type2){const group=self2.RULES.types[type2];return group&&group!==!0&&shouldUseGroup(schema,group)}applicability.schemaHasRulesForType=schemaHasRulesForType;function shouldUseGroup(schema,group){return group.rules.some(rule=>shouldUseRule(schema,rule))}applicability.shouldUseGroup=shouldUseGroup;
+function shouldUseRule(schema,rule){var _a2;return schema[rule.keyword]!==void 0||((_a2=rule.definition.implements)===null||_a2===void 0?void 0:_a2.some(kwd=>schema[kwd]!==void 0))}return applicability.shouldUseRule=shouldUseRule,applicability}var hasRequiredDataType;function requireDataType(){if(hasRequiredDataType)return dataType;hasRequiredDataType=1,Object.defineProperty(dataType,"__esModule",{value:!0}),dataType.reportTypeError=dataType.checkDataTypes=dataType.checkDataType=dataType.coerceAndCheckDataType=
+dataType.getJSONTypes=dataType.getSchemaTypes=dataType.DataType=void 0;const rules_1=requireRules(),applicability_1=requireApplicability(),errors_1=requireErrors(),codegen_1=requireCodegen(),util_1=requireUtil();var DataType;(function(DataType2){DataType2[DataType2.Correct=0]="Correct",DataType2[DataType2.Wrong=1]="Wrong"})(DataType||(dataType.DataType=DataType={}));function getSchemaTypes(schema){const types2=getJSONTypes(schema.type);if(types2.includes("null")){if(schema.nullable===!1)throw new Error(
+"type: null contradicts nullable: false")}else{if(!types2.length&&schema.nullable!==void 0)throw new Error('"nullable" cannot be used without "type"');schema.nullable===!0&&types2.push("null")}return types2}dataType.getSchemaTypes=getSchemaTypes;function getJSONTypes(ts){const types2=Array.isArray(ts)?ts:ts?[ts]:[];if(types2.every(rules_1.isJSONType))return types2;throw new Error("type must be JSONType or JSONType[]: "+types2.join(","))}dataType.getJSONTypes=getJSONTypes;function coerceAndCheckDataType(it,types2){
+const{gen,data,opts}=it,coerceTo=coerceToTypes(types2,opts.coerceTypes),checkTypes=types2.length>0&&!(coerceTo.length===0&&types2.length===1&&(0,applicability_1.schemaHasRulesForType)(it,types2[0]));if(checkTypes){const wrongType=checkDataTypes(types2,data,opts.strictNumbers,DataType.Wrong);gen.if(wrongType,()=>{coerceTo.length?coerceData(it,types2,coerceTo):reportTypeError(it)})}return checkTypes}dataType.coerceAndCheckDataType=coerceAndCheckDataType;const COERCIBLE=new Set(["string","number","\
+integer","boolean","null"]);function coerceToTypes(types2,coerceTypes){return coerceTypes?types2.filter(t=>COERCIBLE.has(t)||coerceTypes==="array"&&t==="array"):[]}function coerceData(it,types2,coerceTo){const{gen,data,opts}=it,dataType2=gen.let("dataType",(0,codegen_1._)`typeof ${data}`),coerced=gen.let("coerced",(0,codegen_1._)`undefined`);opts.coerceTypes==="array"&&gen.if((0,codegen_1._)`${dataType2} == 'object' && Array.isArray(${data}) && ${data}.length == 1`,()=>gen.assign(data,(0,codegen_1.
+_)`${data}[0]`).assign(dataType2,(0,codegen_1._)`typeof ${data}`).if(checkDataTypes(types2,data,opts.strictNumbers),()=>gen.assign(coerced,data))),gen.if((0,codegen_1._)`${coerced} !== undefined`);for(const t of coerceTo)(COERCIBLE.has(t)||t==="array"&&opts.coerceTypes==="array")&&coerceSpecificType(t);gen.else(),reportTypeError(it),gen.endIf(),gen.if((0,codegen_1._)`${coerced} !== undefined`,()=>{gen.assign(data,coerced),assignParentData(it,coerced)});function coerceSpecificType(t){switch(t){case"\
+string":gen.elseIf((0,codegen_1._)`${dataType2} == "number" || ${dataType2} == "boolean"`).assign(coerced,(0,codegen_1._)`"" + ${data}`).elseIf((0,codegen_1._)`${data} === null`).assign(coerced,(0,codegen_1._)`""`);return;case"number":gen.elseIf((0,codegen_1._)`${dataType2} == "boolean" || ${data} === null
+              || (${dataType2} == "string" && ${data} && ${data} == +${data})`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"integer":gen.elseIf((0,codegen_1._)`${dataType2} === "boolean" || ${data} === null
+              || (${dataType2} === "string" && ${data} && ${data} == +${data} && !(${data} % 1))`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"boolean":gen.elseIf((0,codegen_1._)`${data} === "false" || ${data} === 0 || ${data} === null`).assign(coerced,!1).elseIf((0,codegen_1._)`${data} === "true" || ${data} === 1`).assign(coerced,!0);return;case"null":gen.elseIf((0,codegen_1._)`${data} === "" || ${data} === 0 || ${data} === false`),gen.assign(coerced,null);return;case"array":gen.elseIf(
+(0,codegen_1._)`${dataType2} === "string" || ${dataType2} === "number"
+              || ${dataType2} === "boolean" || ${data} === null`).assign(coerced,(0,codegen_1._)`[${data}]`)}}}function assignParentData({gen,parentData,parentDataProperty},expr){gen.if((0,codegen_1._)`${parentData} !== undefined`,()=>gen.assign((0,codegen_1._)`${parentData}[${parentDataProperty}]`,expr))}function checkDataType(dataType2,data,strictNums,correct=DataType.Correct){const EQ=correct===DataType.Correct?codegen_1.operators.EQ:codegen_1.operators.NEQ;let cond;switch(dataType2){case"nul\
+l":return(0,codegen_1._)`${data} ${EQ} null`;case"array":cond=(0,codegen_1._)`Array.isArray(${data})`;break;case"object":cond=(0,codegen_1._)`${data} && typeof ${data} == "object" && !Array.isArray(${data})`;break;case"integer":cond=numCond((0,codegen_1._)`!(${data} % 1) && !isNaN(${data})`);break;case"number":cond=numCond();break;default:return(0,codegen_1._)`typeof ${data} ${EQ} ${dataType2}`}return correct===DataType.Correct?cond:(0,codegen_1.not)(cond);function numCond(_cond=codegen_1.nil){return(0,codegen_1.
+and)((0,codegen_1._)`typeof ${data} == "number"`,_cond,strictNums?(0,codegen_1._)`isFinite(${data})`:codegen_1.nil)}}dataType.checkDataType=checkDataType;function checkDataTypes(dataTypes,data,strictNums,correct){if(dataTypes.length===1)return checkDataType(dataTypes[0],data,strictNums,correct);let cond;const types2=(0,util_1.toHash)(dataTypes);if(types2.array&&types2.object){const notObj=(0,codegen_1._)`typeof ${data} != "object"`;cond=types2.null?notObj:(0,codegen_1._)`!${data} || ${notObj}`,delete types2.
+null,delete types2.array,delete types2.object}else cond=codegen_1.nil;types2.number&&delete types2.integer;for(const t in types2)cond=(0,codegen_1.and)(cond,checkDataType(t,data,strictNums,correct));return cond}dataType.checkDataTypes=checkDataTypes;const typeError={message:({schema})=>`must be ${schema}`,params:({schema,schemaValue})=>typeof schema=="string"?(0,codegen_1._)`{type: ${schema}}`:(0,codegen_1._)`{type: ${schemaValue}}`};function reportTypeError(it){const cxt=getTypeErrorContext(it);
+(0,errors_1.reportError)(cxt,typeError)}dataType.reportTypeError=reportTypeError;function getTypeErrorContext(it){const{gen,data,schema}=it,schemaCode=(0,util_1.schemaRefOrVal)(it,schema,"type");return{gen,keyword:"type",data,schema:schema.type,schemaCode,schemaValue:schemaCode,parentSchema:schema,params:{},it}}return dataType}var defaults={},hasRequiredDefaults;function requireDefaults(){if(hasRequiredDefaults)return defaults;hasRequiredDefaults=1,Object.defineProperty(defaults,"__esModule",{value:!0}),
+defaults.assignDefaults=void 0;const codegen_1=requireCodegen(),util_1=requireUtil();function assignDefaults(it,ty){const{properties:properties2,items:items2}=it.schema;if(ty==="object"&&properties2)for(const key2 in properties2)assignDefault(it,key2,properties2[key2].default);else ty==="array"&&Array.isArray(items2)&&items2.forEach((sch,i)=>assignDefault(it,i,sch.default))}defaults.assignDefaults=assignDefaults;function assignDefault(it,prop2,defaultValue){const{gen,compositeRule,data,opts}=it;
+if(defaultValue===void 0)return;const childData=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(prop2)}`;if(compositeRule){(0,util_1.checkStrictMode)(it,`default is ignored for: ${childData}`);return}let condition=(0,codegen_1._)`${childData} === undefined`;opts.useDefaults==="empty"&&(condition=(0,codegen_1._)`${condition} || ${childData} === null || ${childData} === ""`),gen.if(condition,(0,codegen_1._)`${childData} = ${(0,codegen_1.stringify)(defaultValue)}`)}return defaults}var keyword={},
+code$3={},hasRequiredCode;function requireCode(){if(hasRequiredCode)return code$3;hasRequiredCode=1,Object.defineProperty(code$3,"__esModule",{value:!0}),code$3.validateUnion=code$3.validateArray=code$3.usePattern=code$3.callValidateCode=code$3.schemaProperties=code$3.allSchemaProperties=code$3.noPropertyInData=code$3.propertyInData=code$3.isOwnProperty=code$3.hasPropFunc=code$3.reportMissingProp=code$3.checkMissingProp=code$3.checkReportMissingProp=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),
+names_1=requireNames(),util_2=requireUtil();function checkReportMissingProp(cxt,prop2){const{gen,data,it}=cxt;gen.if(noPropertyInData(gen,data,prop2,it.opts.ownProperties),()=>{cxt.setParams({missingProperty:(0,codegen_1._)`${prop2}`},!0),cxt.error()})}code$3.checkReportMissingProp=checkReportMissingProp;function checkMissingProp({gen,data,it:{opts}},properties2,missing){return(0,codegen_1.or)(...properties2.map(prop2=>(0,codegen_1.and)(noPropertyInData(gen,data,prop2,opts.ownProperties),(0,codegen_1.
+_)`${missing} = ${prop2}`)))}code$3.checkMissingProp=checkMissingProp;function reportMissingProp(cxt,missing){cxt.setParams({missingProperty:missing},!0),cxt.error()}code$3.reportMissingProp=reportMissingProp;function hasPropFunc(gen){return gen.scopeValue("func",{ref:Object.prototype.hasOwnProperty,code:(0,codegen_1._)`Object.prototype.hasOwnProperty`})}code$3.hasPropFunc=hasPropFunc;function isOwnProperty(gen,data,property){return(0,codegen_1._)`${hasPropFunc(gen)}.call(${data}, ${property})`}
+code$3.isOwnProperty=isOwnProperty;function propertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} !== undefined`;return ownProperties?(0,codegen_1._)`${cond} && ${isOwnProperty(gen,data,property)}`:cond}code$3.propertyInData=propertyInData;function noPropertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} === undefined`;return ownProperties?(0,codegen_1.or)(cond,(0,codegen_1.
+not)(isOwnProperty(gen,data,property))):cond}code$3.noPropertyInData=noPropertyInData;function allSchemaProperties(schemaMap){return schemaMap?Object.keys(schemaMap).filter(p2=>p2!=="__proto__"):[]}code$3.allSchemaProperties=allSchemaProperties;function schemaProperties(it,schemaMap){return allSchemaProperties(schemaMap).filter(p2=>!(0,util_1.alwaysValidSchema)(it,schemaMap[p2]))}code$3.schemaProperties=schemaProperties;function callValidateCode({schemaCode,data,it:{gen,topSchemaRef,schemaPath,errorPath},
+it},func,context,passSchema){const dataAndSchema=passSchema?(0,codegen_1._)`${schemaCode}, ${data}, ${topSchemaRef}${schemaPath}`:data,valCxt=[[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,errorPath)],[names_1.default.parentData,it.parentData],[names_1.default.parentDataProperty,it.parentDataProperty],[names_1.default.rootData,names_1.default.rootData]];it.opts.dynamicRef&&valCxt.push([names_1.default.dynamicAnchors,names_1.default.dynamicAnchors]);const args=(0,codegen_1.
+_)`${dataAndSchema}, ${gen.object(...valCxt)}`;return context!==codegen_1.nil?(0,codegen_1._)`${func}.call(${context}, ${args})`:(0,codegen_1._)`${func}(${args})`}code$3.callValidateCode=callValidateCode;const newRegExp=(0,codegen_1._)`new RegExp`;function usePattern({gen,it:{opts}},pattern2){const u=opts.unicodeRegExp?"u":"",{regExp}=opts.code,rx=regExp(pattern2,u);return gen.scopeValue("pattern",{key:rx.toString(),ref:rx,code:(0,codegen_1._)`${regExp.code==="new RegExp"?newRegExp:(0,util_2.useFunc)(
+gen,regExp)}(${pattern2}, ${u})`})}code$3.usePattern=usePattern;function validateArray(cxt){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");if(it.allErrors){const validArr=gen.let("valid",!0);return validateItems(()=>gen.assign(validArr,!1)),validArr}return gen.var(valid2,!0),validateItems(()=>gen.break()),valid2;function validateItems(notValid){const len=gen.const("len",(0,codegen_1._)`${data}.length`);gen.forRange("i",0,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.
+Type.Num},valid2),gen.if((0,codegen_1.not)(valid2),notValid)})}}code$3.validateArray=validateArray;function validateUnion(cxt){const{gen,schema,keyword:keyword2,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(schema.some(sch=>(0,util_1.alwaysValidSchema)(it,sch))&&!it.opts.unevaluated)return;const valid2=gen.let("valid",!1),schValid=gen.name("_valid");gen.block(()=>schema.forEach((_sch,i)=>{const schCxt=cxt.subschema({keyword:keyword2,schemaProp:i,compositeRule:!0},
+schValid);gen.assign(valid2,(0,codegen_1._)`${valid2} || ${schValid}`),cxt.mergeValidEvaluated(schCxt,schValid)||gen.if((0,codegen_1.not)(valid2))})),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(!0))}return code$3.validateUnion=validateUnion,code$3}var hasRequiredKeyword;function requireKeyword(){if(hasRequiredKeyword)return keyword;hasRequiredKeyword=1,Object.defineProperty(keyword,"__esModule",{value:!0}),keyword.validateKeywordUsage=keyword.validSchemaType=keyword.funcKeywordCode=keyword.macroKeywordCode=
+void 0;const codegen_1=requireCodegen(),names_1=requireNames(),code_1=requireCode(),errors_1=requireErrors();function macroKeywordCode(cxt,def){const{gen,keyword:keyword2,schema,parentSchema,it}=cxt,macroSchema=def.macro.call(it.self,schema,parentSchema,it),schemaRef=useKeyword(gen,keyword2,macroSchema);it.opts.validateSchema!==!1&&it.self.validateSchema(macroSchema,!0);const valid2=gen.name("valid");cxt.subschema({schema:macroSchema,schemaPath:codegen_1.nil,errSchemaPath:`${it.errSchemaPath}/${keyword2}`,
+topSchemaRef:schemaRef,compositeRule:!0},valid2),cxt.pass(valid2,()=>cxt.error(!0))}keyword.macroKeywordCode=macroKeywordCode;function funcKeywordCode(cxt,def){var _a2;const{gen,keyword:keyword2,schema,parentSchema,$data,it}=cxt;checkAsyncKeyword(it,def);const validate2=!$data&&def.compile?def.compile.call(it.self,schema,parentSchema,it):def.validate,validateRef=useKeyword(gen,keyword2,validate2),valid2=gen.let("valid");cxt.block$data(valid2,validateKeyword),cxt.ok((_a2=def.valid)!==null&&_a2!==
+void 0?_a2:valid2);function validateKeyword(){if(def.errors===!1)assignValid(),def.modifying&&modifyData(cxt),reportErrs(()=>cxt.error());else{const ruleErrs=def.async?validateAsync():validateSync();def.modifying&&modifyData(cxt),reportErrs(()=>addErrs(cxt,ruleErrs))}}function validateAsync(){const ruleErrs=gen.let("ruleErrs",null);return gen.try(()=>assignValid((0,codegen_1._)`await `),e=>gen.assign(valid2,!1).if((0,codegen_1._)`${e} instanceof ${it.ValidationError}`,()=>gen.assign(ruleErrs,(0,codegen_1.
+_)`${e}.errors`),()=>gen.throw(e))),ruleErrs}function validateSync(){const validateErrs=(0,codegen_1._)`${validateRef}.errors`;return gen.assign(validateErrs,null),assignValid(codegen_1.nil),validateErrs}function assignValid(_await=def.async?(0,codegen_1._)`await `:codegen_1.nil){const passCxt=it.opts.passContext?names_1.default.this:names_1.default.self,passSchema=!("compile"in def&&!$data||def.schema===!1);gen.assign(valid2,(0,codegen_1._)`${_await}${(0,code_1.callValidateCode)(cxt,validateRef,
+passCxt,passSchema)}`,def.modifying)}function reportErrs(errors2){var _a3;gen.if((0,codegen_1.not)((_a3=def.valid)!==null&&_a3!==void 0?_a3:valid2),errors2)}}keyword.funcKeywordCode=funcKeywordCode;function modifyData(cxt){const{gen,data,it}=cxt;gen.if(it.parentData,()=>gen.assign(data,(0,codegen_1._)`${it.parentData}[${it.parentDataProperty}]`))}function addErrs(cxt,errs){const{gen}=cxt;gen.if((0,codegen_1._)`Array.isArray(${errs})`,()=>{gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.
+default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`).assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`),(0,errors_1.extendErrors)(cxt)},()=>cxt.error())}function checkAsyncKeyword({schemaEnv},def){if(def.async&&!schemaEnv.$async)throw new Error("async keyword in sync schema")}function useKeyword(gen,keyword2,result){if(result===void 0)throw new Error(`keyword "${keyword2}" failed to compile`);return gen.scopeValue("keyword",typeof result==
+"function"?{ref:result}:{ref:result,code:(0,codegen_1.stringify)(result)})}function validSchemaType(schema,schemaType,allowUndefined=!1){return!schemaType.length||schemaType.some(st=>st==="array"?Array.isArray(schema):st==="object"?schema&&typeof schema=="object"&&!Array.isArray(schema):typeof schema==st||allowUndefined&&typeof schema>"u")}keyword.validSchemaType=validSchemaType;function validateKeywordUsage({schema,opts,self:self2,errSchemaPath},def,keyword2){if(Array.isArray(def.keyword)?!def.
+keyword.includes(keyword2):def.keyword!==keyword2)throw new Error("ajv implementation error");const deps=def.dependencies;if(deps?.some(kwd=>!Object.prototype.hasOwnProperty.call(schema,kwd)))throw new Error(`parent schema must have dependencies of ${keyword2}: ${deps.join(",")}`);if(def.validateSchema&&!def.validateSchema(schema[keyword2])){const msg=`keyword "${keyword2}" value is invalid at path "${errSchemaPath}": `+self2.errorsText(def.validateSchema.errors);if(opts.validateSchema==="log")self2.
+logger.error(msg);else throw new Error(msg)}}return keyword.validateKeywordUsage=validateKeywordUsage,keyword}var subschema={},hasRequiredSubschema;function requireSubschema(){if(hasRequiredSubschema)return subschema;hasRequiredSubschema=1,Object.defineProperty(subschema,"__esModule",{value:!0}),subschema.extendSubschemaMode=subschema.extendSubschemaData=subschema.getSubschema=void 0;const codegen_1=requireCodegen(),util_1=requireUtil();function getSubschema(it,{keyword:keyword2,schemaProp,schema,
+schemaPath,errSchemaPath,topSchemaRef}){if(keyword2!==void 0&&schema!==void 0)throw new Error('both "keyword" and "schema" passed, only one allowed');if(keyword2!==void 0){const sch=it.schema[keyword2];return schemaProp===void 0?{schema:sch,schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}`,errSchemaPath:`${it.errSchemaPath}/${keyword2}`}:{schema:sch[schemaProp],schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}${(0,codegen_1.getProperty)(
+schemaProp)}`,errSchemaPath:`${it.errSchemaPath}/${keyword2}/${(0,util_1.escapeFragment)(schemaProp)}`}}if(schema!==void 0){if(schemaPath===void 0||errSchemaPath===void 0||topSchemaRef===void 0)throw new Error('"schemaPath", "errSchemaPath" and "topSchemaRef" are required with "schema"');return{schema,schemaPath,topSchemaRef,errSchemaPath}}throw new Error('either "keyword" or "schema" must be passed')}subschema.getSubschema=getSubschema;function extendSubschemaData(subschema2,it,{dataProp,dataPropType:dpType,
+data,dataTypes,propertyName}){if(data!==void 0&&dataProp!==void 0)throw new Error('both "data" and "dataProp" passed, only one allowed');const{gen}=it;if(dataProp!==void 0){const{errorPath,dataPathArr,opts}=it,nextData=gen.let("data",(0,codegen_1._)`${it.data}${(0,codegen_1.getProperty)(dataProp)}`,!0);dataContextProps(nextData),subschema2.errorPath=(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(dataProp,dpType,opts.jsPropertySyntax)}`,subschema2.parentDataProperty=(0,codegen_1._)`${dataProp}`,
+subschema2.dataPathArr=[...dataPathArr,subschema2.parentDataProperty]}if(data!==void 0){const nextData=data instanceof codegen_1.Name?data:gen.let("data",data,!0);dataContextProps(nextData),propertyName!==void 0&&(subschema2.propertyName=propertyName)}dataTypes&&(subschema2.dataTypes=dataTypes);function dataContextProps(_nextData){subschema2.data=_nextData,subschema2.dataLevel=it.dataLevel+1,subschema2.dataTypes=[],it.definedProperties=new Set,subschema2.parentData=it.data,subschema2.dataNames=[
+...it.dataNames,_nextData]}}subschema.extendSubschemaData=extendSubschemaData;function extendSubschemaMode(subschema2,{jtdDiscriminator,jtdMetadata,compositeRule,createErrors,allErrors}){compositeRule!==void 0&&(subschema2.compositeRule=compositeRule),createErrors!==void 0&&(subschema2.createErrors=createErrors),allErrors!==void 0&&(subschema2.allErrors=allErrors),subschema2.jtdDiscriminator=jtdDiscriminator,subschema2.jtdMetadata=jtdMetadata}return subschema.extendSubschemaMode=extendSubschemaMode,
+subschema}var resolve={},jsonSchemaTraverse={exports:{}},hasRequiredJsonSchemaTraverse;function requireJsonSchemaTraverse(){if(hasRequiredJsonSchemaTraverse)return jsonSchemaTraverse.exports;hasRequiredJsonSchemaTraverse=1;var traverse=jsonSchemaTraverse.exports=function(schema,opts,cb){typeof opts=="function"&&(cb=opts,opts={}),cb=opts.cb||cb;var pre=typeof cb=="function"?cb:cb.pre||function(){},post=cb.post||function(){};_traverse(opts,pre,post,schema,"",schema)};traverse.keywords={additionalItems:!0,
+items:!0,contains:!0,additionalProperties:!0,propertyNames:!0,not:!0,if:!0,then:!0,else:!0},traverse.arrayKeywords={items:!0,allOf:!0,anyOf:!0,oneOf:!0},traverse.propsKeywords={$defs:!0,definitions:!0,properties:!0,patternProperties:!0,dependencies:!0},traverse.skipKeywords={default:!0,enum:!0,const:!0,required:!0,maximum:!0,minimum:!0,exclusiveMaximum:!0,exclusiveMinimum:!0,multipleOf:!0,maxLength:!0,minLength:!0,pattern:!0,format:!0,maxItems:!0,minItems:!0,uniqueItems:!0,maxProperties:!0,minProperties:!0};
+function _traverse(opts,pre,post,schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex){if(schema&&typeof schema=="object"&&!Array.isArray(schema)){pre(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex);for(var key2 in schema){var sch=schema[key2];if(Array.isArray(sch)){if(key2 in traverse.arrayKeywords)for(var i=0;i<sch.length;i++)_traverse(opts,pre,post,sch[i],jsonPtr+"/"+key2+"/"+i,rootSchema,jsonPtr,key2,schema,i)}else if(key2 in traverse.propsKeywords){
+if(sch&&typeof sch=="object")for(var prop2 in sch)_traverse(opts,pre,post,sch[prop2],jsonPtr+"/"+key2+"/"+escapeJsonPtr(prop2),rootSchema,jsonPtr,key2,schema,prop2)}else(key2 in traverse.keywords||opts.allKeys&&!(key2 in traverse.skipKeywords))&&_traverse(opts,pre,post,sch,jsonPtr+"/"+key2,rootSchema,jsonPtr,key2,schema)}post(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex)}}function escapeJsonPtr(str){return str.replace(/~/g,"~0").replace(/\//g,"~1")}return jsonSchemaTraverse.
+exports}var hasRequiredResolve;function requireResolve(){if(hasRequiredResolve)return resolve;hasRequiredResolve=1,Object.defineProperty(resolve,"__esModule",{value:!0}),resolve.getSchemaRefs=resolve.resolveUrl=resolve.normalizeId=resolve._getFullPath=resolve.getFullPath=resolve.inlineRef=void 0;const util_1=requireUtil(),equal2=requireFastDeepEqual(),traverse=requireJsonSchemaTraverse(),SIMPLE_INLINED=new Set(["type","format","pattern","maxLength","minLength","maxProperties","minProperties","ma\
+xItems","minItems","maximum","minimum","uniqueItems","multipleOf","required","enum","const"]);function inlineRef(schema,limit2=!0){return typeof schema=="boolean"?!0:limit2===!0?!hasRef(schema):limit2?countKeys(schema)<=limit2:!1}resolve.inlineRef=inlineRef;const REF_KEYWORDS=new Set(["$ref","$recursiveRef","$recursiveAnchor","$dynamicRef","$dynamicAnchor"]);function hasRef(schema){for(const key2 in schema){if(REF_KEYWORDS.has(key2))return!0;const sch=schema[key2];if(Array.isArray(sch)&&sch.some(
+hasRef)||typeof sch=="object"&&hasRef(sch))return!0}return!1}function countKeys(schema){let count=0;for(const key2 in schema){if(key2==="$ref")return 1/0;if(count++,!SIMPLE_INLINED.has(key2)&&(typeof schema[key2]=="object"&&(0,util_1.eachItem)(schema[key2],sch=>count+=countKeys(sch)),count===1/0))return 1/0}return count}function getFullPath(resolver2,id2="",normalize2){normalize2!==!1&&(id2=normalizeId(id2));const p2=resolver2.parse(id2);return _getFullPath(resolver2,p2)}resolve.getFullPath=getFullPath;
+function _getFullPath(resolver2,p2){return resolver2.serialize(p2).split("#")[0]+"#"}resolve._getFullPath=_getFullPath;const TRAILING_SLASH_HASH=/#\/?$/;function normalizeId(id2){return id2?id2.replace(TRAILING_SLASH_HASH,""):""}resolve.normalizeId=normalizeId;function resolveUrl(resolver2,baseId,id2){return id2=normalizeId(id2),resolver2.resolve(baseId,id2)}resolve.resolveUrl=resolveUrl;const ANCHOR=/^[a-z_][-a-z0-9._]*$/i;function getSchemaRefs(schema,baseId){if(typeof schema=="boolean")return{};
+const{schemaId,uriResolver}=this.opts,schId=normalizeId(schema[schemaId]||baseId),baseIds={"":schId},pathPrefix=getFullPath(uriResolver,schId,!1),localRefs={},schemaRefs=new Set;return traverse(schema,{allKeys:!0},(sch,jsonPtr,_,parentJsonPtr)=>{if(parentJsonPtr===void 0)return;const fullPath=pathPrefix+jsonPtr;let innerBaseId=baseIds[parentJsonPtr];typeof sch[schemaId]=="string"&&(innerBaseId=addRef.call(this,sch[schemaId])),addAnchor.call(this,sch.$anchor),addAnchor.call(this,sch.$dynamicAnchor),
+baseIds[jsonPtr]=innerBaseId;function addRef(ref2){const _resolve=this.opts.uriResolver.resolve;if(ref2=normalizeId(innerBaseId?_resolve(innerBaseId,ref2):ref2),schemaRefs.has(ref2))throw ambiguos(ref2);schemaRefs.add(ref2);let schOrRef=this.refs[ref2];return typeof schOrRef=="string"&&(schOrRef=this.refs[schOrRef]),typeof schOrRef=="object"?checkAmbiguosRef(sch,schOrRef.schema,ref2):ref2!==normalizeId(fullPath)&&(ref2[0]==="#"?(checkAmbiguosRef(sch,localRefs[ref2],ref2),localRefs[ref2]=sch):this.
+refs[ref2]=fullPath),ref2}function addAnchor(anchor){if(typeof anchor=="string"){if(!ANCHOR.test(anchor))throw new Error(`invalid anchor "${anchor}"`);addRef.call(this,`#${anchor}`)}}}),localRefs;function checkAmbiguosRef(sch1,sch2,ref2){if(sch2!==void 0&&!equal2(sch1,sch2))throw ambiguos(ref2)}function ambiguos(ref2){return new Error(`reference "${ref2}" resolves to more than one schema`)}}return resolve.getSchemaRefs=getSchemaRefs,resolve}var hasRequiredValidate;function requireValidate(){if(hasRequiredValidate)
+return validate;hasRequiredValidate=1,Object.defineProperty(validate,"__esModule",{value:!0}),validate.getData=validate.KeywordCxt=validate.validateFunctionCode=void 0;const boolSchema_1=requireBoolSchema(),dataType_1=requireDataType(),applicability_1=requireApplicability(),dataType_2=requireDataType(),defaults_1=requireDefaults(),keyword_1=requireKeyword(),subschema_1=requireSubschema(),codegen_1=requireCodegen(),names_1=requireNames(),resolve_1=requireResolve(),util_1=requireUtil(),errors_1=requireErrors();
+function validateFunctionCode(it){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(it))){topSchemaObjCode(it);return}validateFunction(it,()=>(0,boolSchema_1.topBoolOrEmptySchema)(it))}validate.validateFunctionCode=validateFunctionCode;function validateFunction({gen,validateName,schema,schemaEnv,opts},body2){opts.code.es5?gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${names_1.default.valCxt}`,schemaEnv.$async,()=>{gen.code((0,codegen_1._)`"use strict"; ${funcSourceUrl(schema,
+opts)}`),destructureValCxtES5(gen,opts),gen.code(body2)}):gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${destructureValCxt(opts)}`,schemaEnv.$async,()=>gen.code(funcSourceUrl(schema,opts)).code(body2))}function destructureValCxt(opts){return(0,codegen_1._)`{${names_1.default.instancePath}="", ${names_1.default.parentData}, ${names_1.default.parentDataProperty}, ${names_1.default.rootData}=${names_1.default.data}${opts.dynamicRef?(0,codegen_1._)`, ${names_1.default.dynamicAnchors}={}`:
+codegen_1.nil}}={}`}function destructureValCxtES5(gen,opts){gen.if(names_1.default.valCxt,()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.instancePath}`),gen.var(names_1.default.parentData,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentData}`),gen.var(names_1.default.parentDataProperty,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentDataProperty}`),gen.var(names_1.default.rootData,(0,codegen_1._)`${names_1.
+default.valCxt}.${names_1.default.rootData}`),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.dynamicAnchors}`)},()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`""`),gen.var(names_1.default.parentData,(0,codegen_1._)`undefined`),gen.var(names_1.default.parentDataProperty,(0,codegen_1._)`undefined`),gen.var(names_1.default.rootData,names_1.default.data),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1.
+_)`{}`)})}function topSchemaObjCode(it){const{schema,opts,gen}=it;validateFunction(it,()=>{opts.$comment&&schema.$comment&&commentKeyword(it),checkNoDefault(it),gen.let(names_1.default.vErrors,null),gen.let(names_1.default.errors,0),opts.unevaluated&&resetEvaluated(it),typeAndKeywords(it),returnResults(it)})}function resetEvaluated(it){const{gen,validateName}=it;it.evaluated=gen.const("evaluated",(0,codegen_1._)`${validateName}.evaluated`),gen.if((0,codegen_1._)`${it.evaluated}.dynamicProps`,()=>gen.
+assign((0,codegen_1._)`${it.evaluated}.props`,(0,codegen_1._)`undefined`)),gen.if((0,codegen_1._)`${it.evaluated}.dynamicItems`,()=>gen.assign((0,codegen_1._)`${it.evaluated}.items`,(0,codegen_1._)`undefined`))}function funcSourceUrl(schema,opts){const schId=typeof schema=="object"&&schema[opts.schemaId];return schId&&(opts.code.source||opts.code.process)?(0,codegen_1._)`/*# sourceURL=${schId} */`:codegen_1.nil}function subschemaCode(it,valid2){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(
+it))){subSchemaObjCode(it,valid2);return}(0,boolSchema_1.boolOrEmptySchema)(it,valid2)}function schemaCxtHasRules({schema,self:self2}){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(self2.RULES.all[key2])return!0;return!1}function isSchemaObj(it){return typeof it.schema!="boolean"}function subSchemaObjCode(it,valid2){const{schema,gen,opts}=it;opts.$comment&&schema.$comment&&commentKeyword(it),updateContext(it),checkAsyncSchema(it);const errsCount=gen.const("_errs",names_1.
+default.errors);typeAndKeywords(it,errsCount),gen.var(valid2,(0,codegen_1._)`${errsCount} === ${names_1.default.errors}`)}function checkKeywords(it){(0,util_1.checkUnknownRules)(it),checkRefsAndKeywords(it)}function typeAndKeywords(it,errsCount){if(it.opts.jtd)return schemaKeywords(it,[],!1,errsCount);const types2=(0,dataType_1.getSchemaTypes)(it.schema),checkedTypes=(0,dataType_1.coerceAndCheckDataType)(it,types2);schemaKeywords(it,types2,!checkedTypes,errsCount)}function checkRefsAndKeywords(it){
+const{schema,errSchemaPath,opts,self:self2}=it;schema.$ref&&opts.ignoreKeywordsWithRef&&(0,util_1.schemaHasRulesButRef)(schema,self2.RULES)&&self2.logger.warn(`$ref: keywords ignored in schema at path "${errSchemaPath}"`)}function checkNoDefault(it){const{schema,opts}=it;schema.default!==void 0&&opts.useDefaults&&opts.strictSchema&&(0,util_1.checkStrictMode)(it,"default is ignored in the schema root")}function updateContext(it){const schId=it.schema[it.opts.schemaId];schId&&(it.baseId=(0,resolve_1.
+resolveUrl)(it.opts.uriResolver,it.baseId,schId))}function checkAsyncSchema(it){if(it.schema.$async&&!it.schemaEnv.$async)throw new Error("async schema in sync schema")}function commentKeyword({gen,schemaEnv,schema,errSchemaPath,opts}){const msg=schema.$comment;if(opts.$comment===!0)gen.code((0,codegen_1._)`${names_1.default.self}.logger.log(${msg})`);else if(typeof opts.$comment=="function"){const schemaPath=(0,codegen_1.str)`${errSchemaPath}/$comment`,rootName=gen.scopeValue("root",{ref:schemaEnv.
+root});gen.code((0,codegen_1._)`${names_1.default.self}.opts.$comment(${msg}, ${schemaPath}, ${rootName}.schema)`)}}function returnResults(it){const{gen,schemaEnv,validateName,ValidationError,opts}=it;schemaEnv.$async?gen.if((0,codegen_1._)`${names_1.default.errors} === 0`,()=>gen.return(names_1.default.data),()=>gen.throw((0,codegen_1._)`new ${ValidationError}(${names_1.default.vErrors})`)):(gen.assign((0,codegen_1._)`${validateName}.errors`,names_1.default.vErrors),opts.unevaluated&&assignEvaluated(
+it),gen.return((0,codegen_1._)`${names_1.default.errors} === 0`))}function assignEvaluated({gen,evaluated,props,items:items2}){props instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.props`,props),items2 instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.items`,items2)}function schemaKeywords(it,types2,typeErrors,errsCount){const{gen,schema,data,allErrors,opts,self:self2}=it,{RULES}=self2;if(schema.$ref&&(opts.ignoreKeywordsWithRef||!(0,util_1.schemaHasRulesButRef)(
+schema,RULES))){gen.block(()=>keywordCode(it,"$ref",RULES.all.$ref.definition));return}opts.jtd||checkStrictTypes(it,types2),gen.block(()=>{for(const group of RULES.rules)groupKeywords(group);groupKeywords(RULES.post)});function groupKeywords(group){(0,applicability_1.shouldUseGroup)(schema,group)&&(group.type?(gen.if((0,dataType_2.checkDataType)(group.type,data,opts.strictNumbers)),iterateKeywords(it,group),types2.length===1&&types2[0]===group.type&&typeErrors&&(gen.else(),(0,dataType_2.reportTypeError)(
+it)),gen.endIf()):iterateKeywords(it,group),allErrors||gen.if((0,codegen_1._)`${names_1.default.errors} === ${errsCount||0}`))}}function iterateKeywords(it,group){const{gen,schema,opts:{useDefaults}}=it;useDefaults&&(0,defaults_1.assignDefaults)(it,group.type),gen.block(()=>{for(const rule of group.rules)(0,applicability_1.shouldUseRule)(schema,rule)&&keywordCode(it,rule.keyword,rule.definition,group.type)})}function checkStrictTypes(it,types2){it.schemaEnv.meta||!it.opts.strictTypes||(checkContextTypes(
+it,types2),it.opts.allowUnionTypes||checkMultipleTypes(it,types2),checkKeywordTypes(it,it.dataTypes))}function checkContextTypes(it,types2){if(types2.length){if(!it.dataTypes.length){it.dataTypes=types2;return}types2.forEach(t=>{includesType(it.dataTypes,t)||strictTypesError(it,`type "${t}" not allowed by context "${it.dataTypes.join(",")}"`)}),narrowSchemaTypes(it,types2)}}function checkMultipleTypes(it,ts){ts.length>1&&!(ts.length===2&&ts.includes("null"))&&strictTypesError(it,"use allowUnionT\
+ypes to allow union type keyword")}function checkKeywordTypes(it,ts){const rules2=it.self.RULES.all;for(const keyword2 in rules2){const rule=rules2[keyword2];if(typeof rule=="object"&&(0,applicability_1.shouldUseRule)(it.schema,rule)){const{type:type2}=rule.definition;type2.length&&!type2.some(t=>hasApplicableType(ts,t))&&strictTypesError(it,`missing type "${type2.join(",")}" for keyword "${keyword2}"`)}}}function hasApplicableType(schTs,kwdT){return schTs.includes(kwdT)||kwdT==="number"&&schTs.
+includes("integer")}function includesType(ts,t){return ts.includes(t)||t==="integer"&&ts.includes("number")}function narrowSchemaTypes(it,withTypes){const ts=[];for(const t of it.dataTypes)includesType(withTypes,t)?ts.push(t):withTypes.includes("integer")&&t==="number"&&ts.push("integer");it.dataTypes=ts}function strictTypesError(it,msg){const schemaPath=it.schemaEnv.baseId+it.errSchemaPath;msg+=` at "${schemaPath}" (strictTypes)`,(0,util_1.checkStrictMode)(it,msg,it.opts.strictTypes)}class KeywordCxt{constructor(it,def,keyword2){
+if((0,keyword_1.validateKeywordUsage)(it,def,keyword2),this.gen=it.gen,this.allErrors=it.allErrors,this.keyword=keyword2,this.data=it.data,this.schema=it.schema[keyword2],this.$data=def.$data&&it.opts.$data&&this.schema&&this.schema.$data,this.schemaValue=(0,util_1.schemaRefOrVal)(it,this.schema,keyword2,this.$data),this.schemaType=def.schemaType,this.parentSchema=it.schema,this.params={},this.it=it,this.def=def,this.$data)this.schemaCode=it.gen.const("vSchema",getData(this.$data,it));else if(this.
+schemaCode=this.schemaValue,!(0,keyword_1.validSchemaType)(this.schema,def.schemaType,def.allowUndefined))throw new Error(`${keyword2} value must be ${JSON.stringify(def.schemaType)}`);("code"in def?def.trackErrors:def.errors!==!1)&&(this.errsCount=it.gen.const("_errs",names_1.default.errors))}result(condition,successAction,failAction){this.failResult((0,codegen_1.not)(condition),successAction,failAction)}failResult(condition,successAction,failAction){this.gen.if(condition),failAction?failAction():
+this.error(),successAction?(this.gen.else(),successAction(),this.allErrors&&this.gen.endIf()):this.allErrors?this.gen.endIf():this.gen.else()}pass(condition,failAction){this.failResult((0,codegen_1.not)(condition),void 0,failAction)}fail(condition){if(condition===void 0){this.error(),this.allErrors||this.gen.if(!1);return}this.gen.if(condition),this.error(),this.allErrors?this.gen.endIf():this.gen.else()}fail$data(condition){if(!this.$data)return this.fail(condition);const{schemaCode}=this;this.
+fail((0,codegen_1._)`${schemaCode} !== undefined && (${(0,codegen_1.or)(this.invalid$data(),condition)})`)}error(append2,errorParams,errorPaths){if(errorParams){this.setParams(errorParams),this._error(append2,errorPaths),this.setParams({});return}this._error(append2,errorPaths)}_error(append2,errorPaths){(append2?errors_1.reportExtraError:errors_1.reportError)(this,this.def.error,errorPaths)}$dataError(){(0,errors_1.reportError)(this,this.def.$dataError||errors_1.keyword$DataError)}reset(){if(this.
+errsCount===void 0)throw new Error('add "trackErrors" to keyword definition');(0,errors_1.resetErrorsCount)(this.gen,this.errsCount)}ok(cond){this.allErrors||this.gen.if(cond)}setParams(obj,assign){assign?Object.assign(this.params,obj):this.params=obj}block$data(valid2,codeBlock,$dataValid=codegen_1.nil){this.gen.block(()=>{this.check$data(valid2,$dataValid),codeBlock()})}check$data(valid2=codegen_1.nil,$dataValid=codegen_1.nil){if(!this.$data)return;const{gen,schemaCode,schemaType,def}=this;gen.
+if((0,codegen_1.or)((0,codegen_1._)`${schemaCode} === undefined`,$dataValid)),valid2!==codegen_1.nil&&gen.assign(valid2,!0),(schemaType.length||def.validateSchema)&&(gen.elseIf(this.invalid$data()),this.$dataError(),valid2!==codegen_1.nil&&gen.assign(valid2,!1)),gen.else()}invalid$data(){const{gen,schemaCode,schemaType,def,it}=this;return(0,codegen_1.or)(wrong$DataType(),invalid$DataSchema());function wrong$DataType(){if(schemaType.length){if(!(schemaCode instanceof codegen_1.Name))throw new Error(
+"ajv implementation error");const st=Array.isArray(schemaType)?schemaType:[schemaType];return(0,codegen_1._)`${(0,dataType_2.checkDataTypes)(st,schemaCode,it.opts.strictNumbers,dataType_2.DataType.Wrong)}`}return codegen_1.nil}function invalid$DataSchema(){if(def.validateSchema){const validateSchemaRef=gen.scopeValue("validate$data",{ref:def.validateSchema});return(0,codegen_1._)`!${validateSchemaRef}(${schemaCode})`}return codegen_1.nil}}subschema(appl,valid2){const subschema2=(0,subschema_1.getSubschema)(
+this.it,appl);(0,subschema_1.extendSubschemaData)(subschema2,this.it,appl),(0,subschema_1.extendSubschemaMode)(subschema2,appl);const nextContext={...this.it,...subschema2,items:void 0,props:void 0};return subschemaCode(nextContext,valid2),nextContext}mergeEvaluated(schemaCxt,toName){const{it,gen}=this;it.opts.unevaluated&&(it.props!==!0&&schemaCxt.props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schemaCxt.props,it.props,toName)),it.items!==!0&&schemaCxt.items!==void 0&&(it.items=util_1.
+mergeEvaluated.items(gen,schemaCxt.items,it.items,toName)))}mergeValidEvaluated(schemaCxt,valid2){const{it,gen}=this;if(it.opts.unevaluated&&(it.props!==!0||it.items!==!0))return gen.if(valid2,()=>this.mergeEvaluated(schemaCxt,codegen_1.Name)),!0}}validate.KeywordCxt=KeywordCxt;function keywordCode(it,keyword2,def,ruleType){const cxt=new KeywordCxt(it,def,keyword2);"code"in def?def.code(cxt,ruleType):cxt.$data&&def.validate?(0,keyword_1.funcKeywordCode)(cxt,def):"macro"in def?(0,keyword_1.macroKeywordCode)(
+cxt,def):(def.compile||def.validate)&&(0,keyword_1.funcKeywordCode)(cxt,def)}const JSON_POINTER=/^\/(?:[^~]|~0|~1)*$/,RELATIVE_JSON_POINTER=/^([0-9]+)(#|\/(?:[^~]|~0|~1)*)?$/;function getData($data,{dataLevel,dataNames,dataPathArr}){let jsonPointer,data;if($data==="")return names_1.default.rootData;if($data[0]==="/"){if(!JSON_POINTER.test($data))throw new Error(`Invalid JSON-pointer: ${$data}`);jsonPointer=$data,data=names_1.default.rootData}else{const matches2=RELATIVE_JSON_POINTER.exec($data);
+if(!matches2)throw new Error(`Invalid JSON-pointer: ${$data}`);const up=+matches2[1];if(jsonPointer=matches2[2],jsonPointer==="#"){if(up>=dataLevel)throw new Error(errorMsg("property/index",up));return dataPathArr[dataLevel-up]}if(up>dataLevel)throw new Error(errorMsg("data",up));if(data=dataNames[dataLevel-up],!jsonPointer)return data}let expr=data;const segments=jsonPointer.split("/");for(const segment of segments)segment&&(data=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)((0,util_1.unescapeJsonPointer)(
+segment))}`,expr=(0,codegen_1._)`${expr} && ${data}`);return expr;function errorMsg(pointerType,up){return`Cannot access ${pointerType} ${up} levels up, current level is ${dataLevel}`}}return validate.getData=getData,validate}var validation_error={},hasRequiredValidation_error;function requireValidation_error(){if(hasRequiredValidation_error)return validation_error;hasRequiredValidation_error=1,Object.defineProperty(validation_error,"__esModule",{value:!0});class ValidationError extends Error{constructor(errors2){
+super("validation failed"),this.errors=errors2,this.ajv=this.validation=!0}}return validation_error.default=ValidationError,validation_error}var ref_error={},hasRequiredRef_error;function requireRef_error(){if(hasRequiredRef_error)return ref_error;hasRequiredRef_error=1,Object.defineProperty(ref_error,"__esModule",{value:!0});const resolve_1=requireResolve();class MissingRefError extends Error{constructor(resolver2,baseId,ref2,msg){super(msg||`can't resolve reference ${ref2} from id ${baseId}`),
+this.missingRef=(0,resolve_1.resolveUrl)(resolver2,baseId,ref2),this.missingSchema=(0,resolve_1.normalizeId)((0,resolve_1.getFullPath)(resolver2,this.missingRef))}}return ref_error.default=MissingRefError,ref_error}var compile={},hasRequiredCompile;function requireCompile(){if(hasRequiredCompile)return compile;hasRequiredCompile=1,Object.defineProperty(compile,"__esModule",{value:!0}),compile.resolveSchema=compile.getCompilingSchema=compile.resolveRef=compile.compileSchema=compile.SchemaEnv=void 0;
+const codegen_1=requireCodegen(),validation_error_1=requireValidation_error(),names_1=requireNames(),resolve_1=requireResolve(),util_1=requireUtil(),validate_1=requireValidate();class SchemaEnv{constructor(env2){var _a2;this.refs={},this.dynamicAnchors={};let schema;typeof env2.schema=="object"&&(schema=env2.schema),this.schema=env2.schema,this.schemaId=env2.schemaId,this.root=env2.root||this,this.baseId=(_a2=env2.baseId)!==null&&_a2!==void 0?_a2:(0,resolve_1.normalizeId)(schema?.[env2.schemaId||
+"$id"]),this.schemaPath=env2.schemaPath,this.localRefs=env2.localRefs,this.meta=env2.meta,this.$async=schema?.$async,this.refs={}}}compile.SchemaEnv=SchemaEnv;function compileSchema(sch){const _sch=getCompilingSchema.call(this,sch);if(_sch)return _sch;const rootId=(0,resolve_1.getFullPath)(this.opts.uriResolver,sch.root.baseId),{es5,lines}=this.opts.code,{ownProperties}=this.opts,gen=new codegen_1.CodeGen(this.scope,{es5,lines,ownProperties});let _ValidationError;sch.$async&&(_ValidationError=gen.
+scopeValue("Error",{ref:validation_error_1.default,code:(0,codegen_1._)`require("ajv/dist/runtime/validation_error").default`}));const validateName=gen.scopeName("validate");sch.validateName=validateName;const schemaCxt={gen,allErrors:this.opts.allErrors,data:names_1.default.data,parentData:names_1.default.parentData,parentDataProperty:names_1.default.parentDataProperty,dataNames:[names_1.default.data],dataPathArr:[codegen_1.nil],dataLevel:0,dataTypes:[],definedProperties:new Set,topSchemaRef:gen.
+scopeValue("schema",this.opts.code.source===!0?{ref:sch.schema,code:(0,codegen_1.stringify)(sch.schema)}:{ref:sch.schema}),validateName,ValidationError:_ValidationError,schema:sch.schema,schemaEnv:sch,rootId,baseId:sch.baseId||rootId,schemaPath:codegen_1.nil,errSchemaPath:sch.schemaPath||(this.opts.jtd?"":"#"),errorPath:(0,codegen_1._)`""`,opts:this.opts,self:this};let sourceCode;try{this._compilations.add(sch),(0,validate_1.validateFunctionCode)(schemaCxt),gen.optimize(this.opts.code.optimize);
+const validateCode=gen.toString();sourceCode=`${gen.scopeRefs(names_1.default.scope)}return ${validateCode}`,this.opts.code.process&&(sourceCode=this.opts.code.process(sourceCode,sch));const validate2=new Function(`${names_1.default.self}`,`${names_1.default.scope}`,sourceCode)(this,this.scope.get());if(this.scope.value(validateName,{ref:validate2}),validate2.errors=null,validate2.schema=sch.schema,validate2.schemaEnv=sch,sch.$async&&(validate2.$async=!0),this.opts.code.source===!0&&(validate2.source=
+{validateName,validateCode,scopeValues:gen._values}),this.opts.unevaluated){const{props,items:items2}=schemaCxt;validate2.evaluated={props:props instanceof codegen_1.Name?void 0:props,items:items2 instanceof codegen_1.Name?void 0:items2,dynamicProps:props instanceof codegen_1.Name,dynamicItems:items2 instanceof codegen_1.Name},validate2.source&&(validate2.source.evaluated=(0,codegen_1.stringify)(validate2.evaluated))}return sch.validate=validate2,sch}catch(e){throw delete sch.validate,delete sch.
+validateName,sourceCode&&this.logger.error("Error compiling schema, function code:",sourceCode),e}finally{this._compilations.delete(sch)}}compile.compileSchema=compileSchema;function resolveRef(root2,baseId,ref2){var _a2;ref2=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,ref2);const schOrFunc=root2.refs[ref2];if(schOrFunc)return schOrFunc;let _sch=resolve2.call(this,root2,ref2);if(_sch===void 0){const schema=(_a2=root2.localRefs)===null||_a2===void 0?void 0:_a2[ref2],{schemaId}=this.opts;
+schema&&(_sch=new SchemaEnv({schema,schemaId,root:root2,baseId}))}if(_sch!==void 0)return root2.refs[ref2]=inlineOrCompile.call(this,_sch)}compile.resolveRef=resolveRef;function inlineOrCompile(sch){return(0,resolve_1.inlineRef)(sch.schema,this.opts.inlineRefs)?sch.schema:sch.validate?sch:compileSchema.call(this,sch)}function getCompilingSchema(schEnv){for(const sch of this._compilations)if(sameSchemaEnv(sch,schEnv))return sch}compile.getCompilingSchema=getCompilingSchema;function sameSchemaEnv(s1,s2){
+return s1.schema===s2.schema&&s1.root===s2.root&&s1.baseId===s2.baseId}function resolve2(root2,ref2){let sch;for(;typeof(sch=this.refs[ref2])=="string";)ref2=sch;return sch||this.schemas[ref2]||resolveSchema.call(this,root2,ref2)}function resolveSchema(root2,ref2){const p2=this.opts.uriResolver.parse(ref2),refPath=(0,resolve_1._getFullPath)(this.opts.uriResolver,p2);let baseId=(0,resolve_1.getFullPath)(this.opts.uriResolver,root2.baseId,void 0);if(Object.keys(root2.schema).length>0&&refPath===baseId)
+return getJsonPointer.call(this,p2,root2);const id2=(0,resolve_1.normalizeId)(refPath),schOrRef=this.refs[id2]||this.schemas[id2];if(typeof schOrRef=="string"){const sch=resolveSchema.call(this,root2,schOrRef);return typeof sch?.schema!="object"?void 0:getJsonPointer.call(this,p2,sch)}if(typeof schOrRef?.schema=="object"){if(schOrRef.validate||compileSchema.call(this,schOrRef),id2===(0,resolve_1.normalizeId)(ref2)){const{schema}=schOrRef,{schemaId}=this.opts,schId=schema[schemaId];return schId&&
+(baseId=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schId)),new SchemaEnv({schema,schemaId,root:root2,baseId})}return getJsonPointer.call(this,p2,schOrRef)}}compile.resolveSchema=resolveSchema;const PREVENT_SCOPE_CHANGE=new Set(["properties","patternProperties","enum","dependencies","definitions"]);function getJsonPointer(parsedRef,{baseId,schema,root:root2}){var _a2;if(((_a2=parsedRef.fragment)===null||_a2===void 0?void 0:_a2[0])!=="/")return;for(const part of parsedRef.fragment.slice(
+1).split("/")){if(typeof schema=="boolean")return;const partSchema=schema[(0,util_1.unescapeFragment)(part)];if(partSchema===void 0)return;schema=partSchema;const schId=typeof schema=="object"&&schema[this.opts.schemaId];!PREVENT_SCOPE_CHANGE.has(part)&&schId&&(baseId=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schId))}let env2;if(typeof schema!="boolean"&&schema.$ref&&!(0,util_1.schemaHasRulesButRef)(schema,this.RULES)){const $ref=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,
+schema.$ref);env2=resolveSchema.call(this,root2,$ref)}const{schemaId}=this.opts;if(env2=env2||new SchemaEnv({schema,schemaId,root:root2,baseId}),env2.schema!==env2.root.schema)return env2}return compile}const $id$1="https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#",description="Meta-schema for $data reference (JSON AnySchema extension proposal)",type$1="object",required$1=["$data"],properties$3={$data:{type:"string",anyOf:[{format:"relative-json-pointer"},{format:"j\
+son-pointer"}]}},additionalProperties$1=!1,require$$9={$id:$id$1,description,type:type$1,required:required$1,properties:properties$3,additionalProperties:additionalProperties$1};var uri={},hasRequiredUri;function requireUri(){if(hasRequiredUri)return uri;hasRequiredUri=1,Object.defineProperty(uri,"__esModule",{value:!0});const uri$12=requireFastUri();return uri$12.code='require("ajv/dist/runtime/uri").default',uri.default=uri$12,uri}var hasRequiredCore$1;function requireCore$1(){return hasRequiredCore$1||
+(hasRequiredCore$1=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.CodeGen=exports.Name=exports.nil=exports.stringify=exports.str=exports._=exports.KeywordCxt=void 0;var validate_1=requireValidate();Object.defineProperty(exports,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen();Object.defineProperty(exports,"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(exports,"str",{enumerable:!0,
+get:function(){return codegen_1.str}}),Object.defineProperty(exports,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(exports,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});const validation_error_1=requireValidation_error(),ref_error_1=requireRef_error(),
+rules_1=requireRules(),compile_1=requireCompile(),codegen_2=requireCodegen(),resolve_1=requireResolve(),dataType_1=requireDataType(),util_1=requireUtil(),$dataRefSchema=require$$9,uri_1=requireUri(),defaultRegExp=(str,flags2)=>new RegExp(str,flags2);defaultRegExp.code="new RegExp";const META_IGNORE_OPTIONS=["removeAdditional","useDefaults","coerceTypes"],EXT_SCOPE_NAMES=new Set(["validate","serialize","parse","wrapper","root","schema","keyword","pattern","formats","validate$data","func","obj","E\
+rror"]),removedOptions={errorDataPath:"",format:"`validateFormats: false` can be used instead.",nullable:'"nullable" keyword is supported by default.',jsonPointers:"Deprecated jsPropertySyntax can be used instead.",extendRefs:"Deprecated ignoreKeywordsWithRef can be used instead.",missingRefs:"Pass empty schema with $id that should be ignored to ajv.addSchema.",processCode:"Use option `code: {process: (code, schemaEnv: object) => string}`",sourceCode:"Use option `code: {source: true}`",strictDefaults:"\
+It is default now, see option `strict`.",strictKeywords:"It is default now, see option `strict`.",uniqueItems:'"uniqueItems" keyword is always validated.',unknownFormats:"Disable strict mode or pass `true` to `ajv.addFormat` (or `formats` option).",cache:"Map is used as cache, schema object as key.",serialize:"Map is used as cache, schema object as key.",ajvErrors:"It is default now."},deprecatedOptions={ignoreKeywordsWithRef:"",jsPropertySyntax:"",unicode:'"minLength"/"maxLength" account for un\
+icode characters by default.'},MAX_EXPRESSION=200;function requiredOptions(o){var _a2,_b,_c,_d,_e,_f,_g,_h,_j,_k,_l,_m,_o,_p,_q,_r,_s,_t,_u,_v,_w,_x,_y,_z,_02;const s2=o.strict,_optz=(_a2=o.code)===null||_a2===void 0?void 0:_a2.optimize,optimize=_optz===!0||_optz===void 0?1:_optz||0,regExp=(_c=(_b=o.code)===null||_b===void 0?void 0:_b.regExp)!==null&&_c!==void 0?_c:defaultRegExp,uriResolver=(_d=o.uriResolver)!==null&&_d!==void 0?_d:uri_1.default;return{strictSchema:(_f=(_e=o.strictSchema)!==null&&
+_e!==void 0?_e:s2)!==null&&_f!==void 0?_f:!0,strictNumbers:(_h=(_g=o.strictNumbers)!==null&&_g!==void 0?_g:s2)!==null&&_h!==void 0?_h:!0,strictTypes:(_k=(_j=o.strictTypes)!==null&&_j!==void 0?_j:s2)!==null&&_k!==void 0?_k:"log",strictTuples:(_m=(_l=o.strictTuples)!==null&&_l!==void 0?_l:s2)!==null&&_m!==void 0?_m:"log",strictRequired:(_p=(_o=o.strictRequired)!==null&&_o!==void 0?_o:s2)!==null&&_p!==void 0?_p:!1,code:o.code?{...o.code,optimize,regExp}:{optimize,regExp},loopRequired:(_q=o.loopRequired)!==
+null&&_q!==void 0?_q:MAX_EXPRESSION,loopEnum:(_r=o.loopEnum)!==null&&_r!==void 0?_r:MAX_EXPRESSION,meta:(_s=o.meta)!==null&&_s!==void 0?_s:!0,messages:(_t=o.messages)!==null&&_t!==void 0?_t:!0,inlineRefs:(_u=o.inlineRefs)!==null&&_u!==void 0?_u:!0,schemaId:(_v=o.schemaId)!==null&&_v!==void 0?_v:"$id",addUsedSchema:(_w=o.addUsedSchema)!==null&&_w!==void 0?_w:!0,validateSchema:(_x=o.validateSchema)!==null&&_x!==void 0?_x:!0,validateFormats:(_y=o.validateFormats)!==null&&_y!==void 0?_y:!0,unicodeRegExp:(_z=
+o.unicodeRegExp)!==null&&_z!==void 0?_z:!0,int32range:(_02=o.int32range)!==null&&_02!==void 0?_02:!0,uriResolver}}class Ajv2{constructor(opts={}){this.schemas={},this.refs={},this.formats={},this._compilations=new Set,this._loading={},this._cache=new Map,opts=this.opts={...opts,...requiredOptions(opts)};const{es5,lines}=this.opts.code;this.scope=new codegen_2.ValueScope({scope:{},prefixes:EXT_SCOPE_NAMES,es5,lines}),this.logger=getLogger(opts.logger);const formatOpt=opts.validateFormats;opts.validateFormats=
+!1,this.RULES=(0,rules_1.getRules)(),checkOptions.call(this,removedOptions,opts,"NOT SUPPORTED"),checkOptions.call(this,deprecatedOptions,opts,"DEPRECATED","warn"),this._metaOpts=getMetaSchemaOptions.call(this),opts.formats&&addInitialFormats.call(this),this._addVocabularies(),this._addDefaultMetaSchema(),opts.keywords&&addInitialKeywords.call(this,opts.keywords),typeof opts.meta=="object"&&this.addMetaSchema(opts.meta),addInitialSchemas.call(this),opts.validateFormats=formatOpt}_addVocabularies(){
+this.addKeyword("$async")}_addDefaultMetaSchema(){const{$data,meta,schemaId}=this.opts;let _dataRefSchema=$dataRefSchema;schemaId==="id"&&(_dataRefSchema={...$dataRefSchema},_dataRefSchema.id=_dataRefSchema.$id,delete _dataRefSchema.$id),meta&&$data&&this.addMetaSchema(_dataRefSchema,_dataRefSchema[schemaId],!1)}defaultMeta(){const{meta,schemaId}=this.opts;return this.opts.defaultMeta=typeof meta=="object"?meta[schemaId]||meta:void 0}validate(schemaKeyRef,data){let v;if(typeof schemaKeyRef=="str\
+ing"){if(v=this.getSchema(schemaKeyRef),!v)throw new Error(`no schema with key or ref "${schemaKeyRef}"`)}else v=this.compile(schemaKeyRef);const valid2=v(data);return"$async"in v||(this.errors=v.errors),valid2}compile(schema,_meta){const sch=this._addSchema(schema,_meta);return sch.validate||this._compileSchemaEnv(sch)}compileAsync(schema,meta){if(typeof this.opts.loadSchema!="function")throw new Error("options.loadSchema should be a function");const{loadSchema}=this.opts;return runCompileAsync.
+call(this,schema,meta);async function runCompileAsync(_schema,_meta){await loadMetaSchema.call(this,_schema.$schema);const sch=this._addSchema(_schema,_meta);return sch.validate||_compileAsync.call(this,sch)}async function loadMetaSchema($ref){$ref&&!this.getSchema($ref)&&await runCompileAsync.call(this,{$ref},!0)}async function _compileAsync(sch){try{return this._compileSchemaEnv(sch)}catch(e){if(!(e instanceof ref_error_1.default))throw e;return checkLoaded.call(this,e),await loadMissingSchema.
+call(this,e.missingSchema),_compileAsync.call(this,sch)}}function checkLoaded({missingSchema:ref2,missingRef}){if(this.refs[ref2])throw new Error(`AnySchema ${ref2} is loaded but ${missingRef} cannot be resolved`)}async function loadMissingSchema(ref2){const _schema=await _loadSchema.call(this,ref2);this.refs[ref2]||await loadMetaSchema.call(this,_schema.$schema),this.refs[ref2]||this.addSchema(_schema,ref2,meta)}async function _loadSchema(ref2){const p2=this._loading[ref2];if(p2)return p2;try{return await(this.
+_loading[ref2]=loadSchema(ref2))}finally{delete this._loading[ref2]}}}addSchema(schema,key2,_meta,_validateSchema=this.opts.validateSchema){if(Array.isArray(schema)){for(const sch of schema)this.addSchema(sch,void 0,_meta,_validateSchema);return this}let id2;if(typeof schema=="object"){const{schemaId}=this.opts;if(id2=schema[schemaId],id2!==void 0&&typeof id2!="string")throw new Error(`schema ${schemaId} must be string`)}return key2=(0,resolve_1.normalizeId)(key2||id2),this._checkUnique(key2),this.
+schemas[key2]=this._addSchema(schema,_meta,key2,_validateSchema,!0),this}addMetaSchema(schema,key2,_validateSchema=this.opts.validateSchema){return this.addSchema(schema,key2,!0,_validateSchema),this}validateSchema(schema,throwOrLogError){if(typeof schema=="boolean")return!0;let $schema2;if($schema2=schema.$schema,$schema2!==void 0&&typeof $schema2!="string")throw new Error("$schema must be a string");if($schema2=$schema2||this.opts.defaultMeta||this.defaultMeta(),!$schema2)return this.logger.warn(
+"meta-schema not available"),this.errors=null,!0;const valid2=this.validate($schema2,schema);if(!valid2&&throwOrLogError){const message="schema is invalid: "+this.errorsText();if(this.opts.validateSchema==="log")this.logger.error(message);else throw new Error(message)}return valid2}getSchema(keyRef){let sch;for(;typeof(sch=getSchEnv.call(this,keyRef))=="string";)keyRef=sch;if(sch===void 0){const{schemaId}=this.opts,root2=new compile_1.SchemaEnv({schema:{},schemaId});if(sch=compile_1.resolveSchema.
+call(this,root2,keyRef),!sch)return;this.refs[keyRef]=sch}return sch.validate||this._compileSchemaEnv(sch)}removeSchema(schemaKeyRef){if(schemaKeyRef instanceof RegExp)return this._removeAllSchemas(this.schemas,schemaKeyRef),this._removeAllSchemas(this.refs,schemaKeyRef),this;switch(typeof schemaKeyRef){case"undefined":return this._removeAllSchemas(this.schemas),this._removeAllSchemas(this.refs),this._cache.clear(),this;case"string":{const sch=getSchEnv.call(this,schemaKeyRef);return typeof sch==
+"object"&&this._cache.delete(sch.schema),delete this.schemas[schemaKeyRef],delete this.refs[schemaKeyRef],this}case"object":{const cacheKey=schemaKeyRef;this._cache.delete(cacheKey);let id2=schemaKeyRef[this.opts.schemaId];return id2&&(id2=(0,resolve_1.normalizeId)(id2),delete this.schemas[id2],delete this.refs[id2]),this}default:throw new Error("ajv.removeSchema: invalid parameter")}}addVocabulary(definitions2){for(const def of definitions2)this.addKeyword(def);return this}addKeyword(kwdOrDef,def){
+let keyword2;if(typeof kwdOrDef=="string")keyword2=kwdOrDef,typeof def=="object"&&(this.logger.warn("these parameters are deprecated, see docs for addKeyword"),def.keyword=keyword2);else if(typeof kwdOrDef=="object"&&def===void 0){if(def=kwdOrDef,keyword2=def.keyword,Array.isArray(keyword2)&&!keyword2.length)throw new Error("addKeywords: keyword must be string or non-empty array")}else throw new Error("invalid addKeywords parameters");if(checkKeyword.call(this,keyword2,def),!def)return(0,util_1.
+eachItem)(keyword2,kwd=>addRule.call(this,kwd)),this;keywordMetaschema.call(this,def);const definition2={...def,type:(0,dataType_1.getJSONTypes)(def.type),schemaType:(0,dataType_1.getJSONTypes)(def.schemaType)};return(0,util_1.eachItem)(keyword2,definition2.type.length===0?k=>addRule.call(this,k,definition2):k=>definition2.type.forEach(t=>addRule.call(this,k,definition2,t))),this}getKeyword(keyword2){const rule=this.RULES.all[keyword2];return typeof rule=="object"?rule.definition:!!rule}removeKeyword(keyword2){
+const{RULES}=this;delete RULES.keywords[keyword2],delete RULES.all[keyword2];for(const group of RULES.rules){const i=group.rules.findIndex(rule=>rule.keyword===keyword2);i>=0&&group.rules.splice(i,1)}return this}addFormat(name,format2){return typeof format2=="string"&&(format2=new RegExp(format2)),this.formats[name]=format2,this}errorsText(errors2=this.errors,{separator=", ",dataVar="data"}={}){return!errors2||errors2.length===0?"No errors":errors2.map(e=>`${dataVar}${e.instancePath} ${e.message}`).
+reduce((text2,msg)=>text2+separator+msg)}$dataMetaSchema(metaSchema,keywordsJsonPointers){const rules2=this.RULES.all;metaSchema=JSON.parse(JSON.stringify(metaSchema));for(const jsonPointer of keywordsJsonPointers){const segments=jsonPointer.split("/").slice(1);let keywords2=metaSchema;for(const seg of segments)keywords2=keywords2[seg];for(const key2 in rules2){const rule=rules2[key2];if(typeof rule!="object")continue;const{$data}=rule.definition,schema=keywords2[key2];$data&&schema&&(keywords2[key2]=
+schemaOrData(schema))}}return metaSchema}_removeAllSchemas(schemas,regex){for(const keyRef in schemas){const sch=schemas[keyRef];(!regex||regex.test(keyRef))&&(typeof sch=="string"?delete schemas[keyRef]:sch&&!sch.meta&&(this._cache.delete(sch.schema),delete schemas[keyRef]))}}_addSchema(schema,meta,baseId,validateSchema=this.opts.validateSchema,addSchema=this.opts.addUsedSchema){let id2;const{schemaId}=this.opts;if(typeof schema=="object")id2=schema[schemaId];else{if(this.opts.jtd)throw new Error(
+"schema must be object");if(typeof schema!="boolean")throw new Error("schema must be object or boolean")}let sch=this._cache.get(schema);if(sch!==void 0)return sch;baseId=(0,resolve_1.normalizeId)(id2||baseId);const localRefs=resolve_1.getSchemaRefs.call(this,schema,baseId);return sch=new compile_1.SchemaEnv({schema,schemaId,meta,baseId,localRefs}),this._cache.set(sch.schema,sch),addSchema&&!baseId.startsWith("#")&&(baseId&&this._checkUnique(baseId),this.refs[baseId]=sch),validateSchema&&this.validateSchema(
+schema,!0),sch}_checkUnique(id2){if(this.schemas[id2]||this.refs[id2])throw new Error(`schema with key or id "${id2}" already exists`)}_compileSchemaEnv(sch){if(sch.meta?this._compileMetaSchema(sch):compile_1.compileSchema.call(this,sch),!sch.validate)throw new Error("ajv implementation error");return sch.validate}_compileMetaSchema(sch){const currentOpts=this.opts;this.opts=this._metaOpts;try{compile_1.compileSchema.call(this,sch)}finally{this.opts=currentOpts}}}Ajv2.ValidationError=validation_error_1.
+default,Ajv2.MissingRefError=ref_error_1.default,exports.default=Ajv2;function checkOptions(checkOpts,options,msg,log="error"){for(const key2 in checkOpts){const opt=key2;opt in options&&this.logger[log](`${msg}: option ${key2}. ${checkOpts[opt]}`)}}function getSchEnv(keyRef){return keyRef=(0,resolve_1.normalizeId)(keyRef),this.schemas[keyRef]||this.refs[keyRef]}function addInitialSchemas(){const optsSchemas=this.opts.schemas;if(optsSchemas)if(Array.isArray(optsSchemas))this.addSchema(optsSchemas);else
+for(const key2 in optsSchemas)this.addSchema(optsSchemas[key2],key2)}function addInitialFormats(){for(const name in this.opts.formats){const format2=this.opts.formats[name];format2&&this.addFormat(name,format2)}}function addInitialKeywords(defs){if(Array.isArray(defs)){this.addVocabulary(defs);return}this.logger.warn("keywords option as map is deprecated, pass array");for(const keyword2 in defs){const def=defs[keyword2];def.keyword||(def.keyword=keyword2),this.addKeyword(def)}}function getMetaSchemaOptions(){
+const metaOpts={...this.opts};for(const opt of META_IGNORE_OPTIONS)delete metaOpts[opt];return metaOpts}const noLogs={log(){},warn(){},error(){}};function getLogger(logger){if(logger===!1)return noLogs;if(logger===void 0)return console;if(logger.log&&logger.warn&&logger.error)return logger;throw new Error("logger must implement log, warn and error methods")}const KEYWORD_NAME=/^[a-z_$][a-z0-9_$:-]*$/i;function checkKeyword(keyword2,def){const{RULES}=this;if((0,util_1.eachItem)(keyword2,kwd=>{if(RULES.
+keywords[kwd])throw new Error(`Keyword ${kwd} is already defined`);if(!KEYWORD_NAME.test(kwd))throw new Error(`Keyword ${kwd} has invalid name`)}),!!def&&def.$data&&!("code"in def||"validate"in def))throw new Error('$data keyword must have "code" or "validate" function')}function addRule(keyword2,definition2,dataType2){var _a2;const post=definition2?.post;if(dataType2&&post)throw new Error('keyword with "post" flag cannot have "type"');const{RULES}=this;let ruleGroup=post?RULES.post:RULES.rules.
+find(({type:t})=>t===dataType2);if(ruleGroup||(ruleGroup={type:dataType2,rules:[]},RULES.rules.push(ruleGroup)),RULES.keywords[keyword2]=!0,!definition2)return;const rule={keyword:keyword2,definition:{...definition2,type:(0,dataType_1.getJSONTypes)(definition2.type),schemaType:(0,dataType_1.getJSONTypes)(definition2.schemaType)}};definition2.before?addBeforeRule.call(this,ruleGroup,rule,definition2.before):ruleGroup.rules.push(rule),RULES.all[keyword2]=rule,(_a2=definition2.implements)===null||_a2===
+void 0||_a2.forEach(kwd=>this.addKeyword(kwd))}function addBeforeRule(ruleGroup,rule,before){const i=ruleGroup.rules.findIndex(_rule=>_rule.keyword===before);i>=0?ruleGroup.rules.splice(i,0,rule):(ruleGroup.rules.push(rule),this.logger.warn(`rule ${before} is not defined`))}function keywordMetaschema(def){let{metaSchema}=def;metaSchema!==void 0&&(def.$data&&this.opts.$data&&(metaSchema=schemaOrData(metaSchema)),def.validateSchema=this.compile(metaSchema,!0))}const $dataRef={$ref:"https://raw.git\
+hubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#"};function schemaOrData(schema){return{anyOf:[schema,$dataRef]}}}(core$2)),core$2}var draft7={},core$1={},id={},hasRequiredId;function requireId(){if(hasRequiredId)return id;hasRequiredId=1,Object.defineProperty(id,"__esModule",{value:!0});const def={keyword:"id",code(){throw new Error('NOT SUPPORTED: keyword "id", use "$id" for schema ID')}};return id.default=def,id}var ref={},hasRequiredRef;function requireRef(){if(hasRequiredRef)
+return ref;hasRequiredRef=1,Object.defineProperty(ref,"__esModule",{value:!0}),ref.callRef=ref.getValidate=void 0;const ref_error_1=requireRef_error(),code_1=requireCode(),codegen_1=requireCodegen(),names_1=requireNames(),compile_1=requireCompile(),util_1=requireUtil(),def={keyword:"$ref",schemaType:"string",code(cxt){const{gen,schema:$ref,it}=cxt,{baseId,schemaEnv:env2,validateName,opts,self:self2}=it,{root:root2}=env2;if(($ref==="#"||$ref==="#/")&&baseId===root2.baseId)return callRootRef();const schOrEnv=compile_1.
+resolveRef.call(self2,root2,baseId,$ref);if(schOrEnv===void 0)throw new ref_error_1.default(it.opts.uriResolver,baseId,$ref);if(schOrEnv instanceof compile_1.SchemaEnv)return callValidate(schOrEnv);return inlineRefSchema(schOrEnv);function callRootRef(){if(env2===root2)return callRef(cxt,validateName,env2,env2.$async);const rootName=gen.scopeValue("root",{ref:root2});return callRef(cxt,(0,codegen_1._)`${rootName}.validate`,root2,root2.$async)}function callValidate(sch){const v=getValidate(cxt,sch);
+callRef(cxt,v,sch,sch.$async)}function inlineRefSchema(sch){const schName=gen.scopeValue("schema",opts.code.source===!0?{ref:sch,code:(0,codegen_1.stringify)(sch)}:{ref:sch}),valid2=gen.name("valid"),schCxt=cxt.subschema({schema:sch,dataTypes:[],schemaPath:codegen_1.nil,topSchemaRef:schName,errSchemaPath:$ref},valid2);cxt.mergeEvaluated(schCxt),cxt.ok(valid2)}}};function getValidate(cxt,sch){const{gen}=cxt;return sch.validate?gen.scopeValue("validate",{ref:sch.validate}):(0,codegen_1._)`${gen.scopeValue(
+"wrapper",{ref:sch})}.validate`}ref.getValidate=getValidate;function callRef(cxt,v,sch,$async){const{gen,it}=cxt,{allErrors,schemaEnv:env2,opts}=it,passCxt=opts.passContext?names_1.default.this:codegen_1.nil;$async?callAsyncRef():callSyncRef();function callAsyncRef(){if(!env2.$async)throw new Error("async schema referenced by sync schema");const valid2=gen.let("valid");gen.try(()=>{gen.code((0,codegen_1._)`await ${(0,code_1.callValidateCode)(cxt,v,passCxt)}`),addEvaluatedFrom(v),allErrors||gen.assign(
+valid2,!0)},e=>{gen.if((0,codegen_1._)`!(${e} instanceof ${it.ValidationError})`,()=>gen.throw(e)),addErrorsFrom(e),allErrors||gen.assign(valid2,!1)}),cxt.ok(valid2)}function callSyncRef(){cxt.result((0,code_1.callValidateCode)(cxt,v,passCxt),()=>addEvaluatedFrom(v),()=>addErrorsFrom(v))}function addErrorsFrom(source2){const errs=(0,codegen_1._)`${source2}.errors`;gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`),
+gen.assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`)}function addEvaluatedFrom(source2){var _a2;if(!it.opts.unevaluated)return;const schEvaluated=(_a2=sch?.validate)===null||_a2===void 0?void 0:_a2.evaluated;if(it.props!==!0)if(schEvaluated&&!schEvaluated.dynamicProps)schEvaluated.props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schEvaluated.props,it.props));else{const props=gen.var("props",(0,codegen_1._)`${source2}.evaluated.props`);it.props=util_1.mergeEvaluated.
+props(gen,props,it.props,codegen_1.Name)}if(it.items!==!0)if(schEvaluated&&!schEvaluated.dynamicItems)schEvaluated.items!==void 0&&(it.items=util_1.mergeEvaluated.items(gen,schEvaluated.items,it.items));else{const items2=gen.var("items",(0,codegen_1._)`${source2}.evaluated.items`);it.items=util_1.mergeEvaluated.items(gen,items2,it.items,codegen_1.Name)}}}return ref.callRef=callRef,ref.default=def,ref}var hasRequiredCore;function requireCore(){if(hasRequiredCore)return core$1;hasRequiredCore=1,Object.
+defineProperty(core$1,"__esModule",{value:!0});const id_1=requireId(),ref_1=requireRef(),core2=["$schema","$id","$defs","$vocabulary",{keyword:"$comment"},"definitions",id_1.default,ref_1.default];return core$1.default=core2,core$1}var validation={},limitNumber={},hasRequiredLimitNumber;function requireLimitNumber(){if(hasRequiredLimitNumber)return limitNumber;hasRequiredLimitNumber=1,Object.defineProperty(limitNumber,"__esModule",{value:!0});const codegen_1=requireCodegen(),ops=codegen_1.operators,
+KWDs={maximum:{okStr:"<=",ok:ops.LTE,fail:ops.GT},minimum:{okStr:">=",ok:ops.GTE,fail:ops.LT},exclusiveMaximum:{okStr:"<",ok:ops.LT,fail:ops.GTE},exclusiveMinimum:{okStr:">",ok:ops.GT,fail:ops.LTE}},error2={message:({keyword:keyword2,schemaCode})=>(0,codegen_1.str)`must be ${KWDs[keyword2].okStr} ${schemaCode}`,params:({keyword:keyword2,schemaCode})=>(0,codegen_1._)`{comparison: ${KWDs[keyword2].okStr}, limit: ${schemaCode}}`},def={keyword:Object.keys(KWDs),type:"number",schemaType:"number",$data:!0,
+error:error2,code(cxt){const{keyword:keyword2,data,schemaCode}=cxt;cxt.fail$data((0,codegen_1._)`${data} ${KWDs[keyword2].fail} ${schemaCode} || isNaN(${data})`)}};return limitNumber.default=def,limitNumber}var multipleOf={},hasRequiredMultipleOf;function requireMultipleOf(){if(hasRequiredMultipleOf)return multipleOf;hasRequiredMultipleOf=1,Object.defineProperty(multipleOf,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:"multipleOf",type:"number",schemaType:"number",$data:!0,
+error:{message:({schemaCode})=>(0,codegen_1.str)`must be multiple of ${schemaCode}`,params:({schemaCode})=>(0,codegen_1._)`{multipleOf: ${schemaCode}}`},code(cxt){const{gen,data,schemaCode,it}=cxt,prec=it.opts.multipleOfPrecision,res=gen.let("res"),invalid2=prec?(0,codegen_1._)`Math.abs(Math.round(${res}) - ${res}) > 1e-${prec}`:(0,codegen_1._)`${res} !== parseInt(${res})`;cxt.fail$data((0,codegen_1._)`(${schemaCode} === 0 || (${res} = ${data}/${schemaCode}, ${invalid2}))`)}};return multipleOf.default=
+def,multipleOf}var limitLength={},ucs2length={},hasRequiredUcs2length;function requireUcs2length(){if(hasRequiredUcs2length)return ucs2length;hasRequiredUcs2length=1,Object.defineProperty(ucs2length,"__esModule",{value:!0});function ucs2length$12(str){const len=str.length;let length=0,pos=0,value;for(;pos<len;)length++,value=str.charCodeAt(pos++),value>=55296&&value<=56319&&pos<len&&(value=str.charCodeAt(pos),(value&64512)===56320&&pos++);return length}return ucs2length.default=ucs2length$12,ucs2length$12.
+code='require("ajv/dist/runtime/ucs2length").default',ucs2length}var hasRequiredLimitLength;function requireLimitLength(){if(hasRequiredLimitLength)return limitLength;hasRequiredLimitLength=1,Object.defineProperty(limitLength,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),ucs2length_1=requireUcs2length(),def={keyword:["maxLength","minLength"],type:"string",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxLength"?
+"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} characters`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode,it}=cxt,op2=keyword2==="maxLength"?codegen_1.operators.GT:codegen_1.operators.LT,len=it.opts.unicode===!1?(0,codegen_1._)`${data}.length`:(0,codegen_1._)`${(0,util_1.useFunc)(cxt.gen,ucs2length_1.default)}(${data})`;cxt.fail$data((0,codegen_1._)`${len} ${op2} ${schemaCode}`)}};return limitLength.
+default=def,limitLength}var pattern={},hasRequiredPattern;function requirePattern(){if(hasRequiredPattern)return pattern;hasRequiredPattern=1,Object.defineProperty(pattern,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),def={keyword:"pattern",type:"string",schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match pattern "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{pattern: ${schemaCode}}`},code(cxt){const{data,$data,schema,
+schemaCode,it}=cxt,u=it.opts.unicodeRegExp?"u":"",regExp=$data?(0,codegen_1._)`(new RegExp(${schemaCode}, ${u}))`:(0,code_1.usePattern)(cxt,schema);cxt.fail$data((0,codegen_1._)`!${regExp}.test(${data})`)}};return pattern.default=def,pattern}var limitProperties={},hasRequiredLimitProperties;function requireLimitProperties(){if(hasRequiredLimitProperties)return limitProperties;hasRequiredLimitProperties=1,Object.defineProperty(limitProperties,"__esModule",{value:!0});const codegen_1=requireCodegen(),
+def={keyword:["maxProperties","minProperties"],type:"object",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxProperties"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} properties`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxProperties"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`Object.keys(${data}).length ${op2} ${schemaCode}`)}};
+return limitProperties.default=def,limitProperties}var required={},hasRequiredRequired;function requireRequired(){if(hasRequiredRequired)return required;hasRequiredRequired=1,Object.defineProperty(required,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"required",type:"object",schemaType:"array",$data:!0,error:{message:({params:{missingProperty}})=>(0,codegen_1.str)`must have required property '${missingProperty}'`,params:({params:{
+missingProperty}})=>(0,codegen_1._)`{missingProperty: ${missingProperty}}`},code(cxt){const{gen,schema,schemaCode,data,$data,it}=cxt,{opts}=it;if(!$data&&schema.length===0)return;const useLoop=schema.length>=opts.loopRequired;if(it.allErrors?allErrorsMode():exitOnErrorMode(),opts.strictRequired){const props=cxt.parentSchema.properties,{definedProperties}=cxt.it;for(const requiredKey of schema)if(props?.[requiredKey]===void 0&&!definedProperties.has(requiredKey)){const schemaPath=it.schemaEnv.baseId+
+it.errSchemaPath,msg=`required property "${requiredKey}" is not defined at "${schemaPath}" (strictRequired)`;(0,util_1.checkStrictMode)(it,msg,it.opts.strictRequired)}}function allErrorsMode(){if(useLoop||$data)cxt.block$data(codegen_1.nil,loopAllRequired);else for(const prop2 of schema)(0,code_1.checkReportMissingProp)(cxt,prop2)}function exitOnErrorMode(){const missing=gen.let("missing");if(useLoop||$data){const valid2=gen.let("valid",!0);cxt.block$data(valid2,()=>loopUntilMissing(missing,valid2)),
+cxt.ok(valid2)}else gen.if((0,code_1.checkMissingProp)(cxt,schema,missing)),(0,code_1.reportMissingProp)(cxt,missing),gen.else()}function loopAllRequired(){gen.forOf("prop",schemaCode,prop2=>{cxt.setParams({missingProperty:prop2}),gen.if((0,code_1.noPropertyInData)(gen,data,prop2,opts.ownProperties),()=>cxt.error())})}function loopUntilMissing(missing,valid2){cxt.setParams({missingProperty:missing}),gen.forOf(missing,schemaCode,()=>{gen.assign(valid2,(0,code_1.propertyInData)(gen,data,missing,opts.
+ownProperties)),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(),gen.break()})},codegen_1.nil)}}};return required.default=def,required}var limitItems={},hasRequiredLimitItems;function requireLimitItems(){if(hasRequiredLimitItems)return limitItems;hasRequiredLimitItems=1,Object.defineProperty(limitItems,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:["maxItems","minItems"],type:"array",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2===
+"maxItems"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} items`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxItems"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`${data}.length ${op2} ${schemaCode}`)}};return limitItems.default=def,limitItems}var uniqueItems={},equal={},hasRequiredEqual;function requireEqual(){if(hasRequiredEqual)return equal;
+hasRequiredEqual=1,Object.defineProperty(equal,"__esModule",{value:!0});const equal$12=requireFastDeepEqual();return equal$12.code='require("ajv/dist/runtime/equal").default',equal.default=equal$12,equal}var hasRequiredUniqueItems;function requireUniqueItems(){if(hasRequiredUniqueItems)return uniqueItems;hasRequiredUniqueItems=1,Object.defineProperty(uniqueItems,"__esModule",{value:!0});const dataType_1=requireDataType(),codegen_1=requireCodegen(),util_1=requireUtil(),equal_1=requireEqual(),def={
+keyword:"uniqueItems",type:"array",schemaType:"boolean",$data:!0,error:{message:({params:{i,j}})=>(0,codegen_1.str)`must NOT have duplicate items (items ## ${j} and ${i} are identical)`,params:({params:{i,j}})=>(0,codegen_1._)`{i: ${i}, j: ${j}}`},code(cxt){const{gen,data,$data,schema,parentSchema,schemaCode,it}=cxt;if(!$data&&!schema)return;const valid2=gen.let("valid"),itemTypes=parentSchema.items?(0,dataType_1.getSchemaTypes)(parentSchema.items):[];cxt.block$data(valid2,validateUniqueItems,(0,codegen_1.
+_)`${schemaCode} === false`),cxt.ok(valid2);function validateUniqueItems(){const i=gen.let("i",(0,codegen_1._)`${data}.length`),j=gen.let("j");cxt.setParams({i,j}),gen.assign(valid2,!0),gen.if((0,codegen_1._)`${i} > 1`,()=>(canOptimize()?loopN:loopN2)(i,j))}function canOptimize(){return itemTypes.length>0&&!itemTypes.some(t=>t==="object"||t==="array")}function loopN(i,j){const item=gen.name("item"),wrongType=(0,dataType_1.checkDataTypes)(itemTypes,item,it.opts.strictNumbers,dataType_1.DataType.Wrong),
+indices=gen.const("indices",(0,codegen_1._)`{}`);gen.for((0,codegen_1._)`;${i}--;`,()=>{gen.let(item,(0,codegen_1._)`${data}[${i}]`),gen.if(wrongType,(0,codegen_1._)`continue`),itemTypes.length>1&&gen.if((0,codegen_1._)`typeof ${item} == "string"`,(0,codegen_1._)`${item} += "_"`),gen.if((0,codegen_1._)`typeof ${indices}[${item}] == "number"`,()=>{gen.assign(j,(0,codegen_1._)`${indices}[${item}]`),cxt.error(),gen.assign(valid2,!1).break()}).code((0,codegen_1._)`${indices}[${item}] = ${i}`)})}function loopN2(i,j){
+const eql=(0,util_1.useFunc)(gen,equal_1.default),outer=gen.name("outer");gen.label(outer).for((0,codegen_1._)`;${i}--;`,()=>gen.for((0,codegen_1._)`${j} = ${i}; ${j}--;`,()=>gen.if((0,codegen_1._)`${eql}(${data}[${i}], ${data}[${j}])`,()=>{cxt.error(),gen.assign(valid2,!1).break(outer)})))}}};return uniqueItems.default=def,uniqueItems}var _const={},hasRequired_const;function require_const(){if(hasRequired_const)return _const;hasRequired_const=1,Object.defineProperty(_const,"__esModule",{value:!0});
+const codegen_1=requireCodegen(),util_1=requireUtil(),equal_1=requireEqual(),def={keyword:"const",$data:!0,error:{message:"must be equal to constant",params:({schemaCode})=>(0,codegen_1._)`{allowedValue: ${schemaCode}}`},code(cxt){const{gen,data,$data,schemaCode,schema}=cxt;$data||schema&&typeof schema=="object"?cxt.fail$data((0,codegen_1._)`!${(0,util_1.useFunc)(gen,equal_1.default)}(${data}, ${schemaCode})`):cxt.fail((0,codegen_1._)`${schema} !== ${data}`)}};return _const.default=def,_const}var _enum={},
+hasRequired_enum;function require_enum(){if(hasRequired_enum)return _enum;hasRequired_enum=1,Object.defineProperty(_enum,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),equal_1=requireEqual(),def={keyword:"enum",schemaType:"array",$data:!0,error:{message:"must be equal to one of the allowed values",params:({schemaCode})=>(0,codegen_1._)`{allowedValues: ${schemaCode}}`},code(cxt){const{gen,data,$data,schema,schemaCode,it}=cxt;if(!$data&&schema.length===0)throw new Error(
+"enum must have non-empty array");const useLoop=schema.length>=it.opts.loopEnum;let eql;const getEql=()=>eql??(eql=(0,util_1.useFunc)(gen,equal_1.default));let valid2;if(useLoop||$data)valid2=gen.let("valid"),cxt.block$data(valid2,loopEnum);else{if(!Array.isArray(schema))throw new Error("ajv implementation error");const vSchema=gen.const("vSchema",schemaCode);valid2=(0,codegen_1.or)(...schema.map((_x,i)=>equalCode(vSchema,i)))}cxt.pass(valid2);function loopEnum(){gen.assign(valid2,!1),gen.forOf(
+"v",schemaCode,v=>gen.if((0,codegen_1._)`${getEql()}(${data}, ${v})`,()=>gen.assign(valid2,!0).break()))}function equalCode(vSchema,i){const sch=schema[i];return typeof sch=="object"&&sch!==null?(0,codegen_1._)`${getEql()}(${data}, ${vSchema}[${i}])`:(0,codegen_1._)`${data} === ${sch}`}}};return _enum.default=def,_enum}var hasRequiredValidation;function requireValidation(){if(hasRequiredValidation)return validation;hasRequiredValidation=1,Object.defineProperty(validation,"__esModule",{value:!0});
+const limitNumber_1=requireLimitNumber(),multipleOf_1=requireMultipleOf(),limitLength_1=requireLimitLength(),pattern_1=requirePattern(),limitProperties_1=requireLimitProperties(),required_1=requireRequired(),limitItems_1=requireLimitItems(),uniqueItems_1=requireUniqueItems(),const_1=require_const(),enum_1=require_enum(),validation$12=[limitNumber_1.default,multipleOf_1.default,limitLength_1.default,pattern_1.default,limitProperties_1.default,required_1.default,limitItems_1.default,uniqueItems_1.
+default,{keyword:"type",schemaType:["string","array"]},{keyword:"nullable",schemaType:"boolean"},const_1.default,enum_1.default];return validation.default=validation$12,validation}var applicator={},additionalItems={},hasRequiredAdditionalItems;function requireAdditionalItems(){if(hasRequiredAdditionalItems)return additionalItems;hasRequiredAdditionalItems=1,Object.defineProperty(additionalItems,"__esModule",{value:!0}),additionalItems.validateAdditionalItems=void 0;const codegen_1=requireCodegen(),
+util_1=requireUtil(),def={keyword:"additionalItems",type:"array",schemaType:["boolean","object"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{parentSchema,it}=cxt,{items:items2}=parentSchema;if(!Array.isArray(items2)){(0,util_1.checkStrictMode)(it,'"additionalItems" is ignored when "items" is not an array of schemas');return}validateAdditionalItems(cxt,items2)}};
+function validateAdditionalItems(cxt,items2){const{gen,schema,data,keyword:keyword2,it}=cxt;it.items=!0;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(schema===!1)cxt.setParams({len:items2.length}),cxt.pass((0,codegen_1._)`${len} <= ${items2.length}`);else if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.var("valid",(0,codegen_1._)`${len} <= ${items2.length}`);gen.if((0,codegen_1.not)(valid2),()=>validateItems(valid2)),cxt.ok(valid2)}function validateItems(valid2){
+gen.forRange("i",items2.length,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.Type.Num},valid2),it.allErrors||gen.if((0,codegen_1.not)(valid2),()=>gen.break())})}}return additionalItems.validateAdditionalItems=validateAdditionalItems,additionalItems.default=def,additionalItems}var prefixItems={},items={},hasRequiredItems;function requireItems(){if(hasRequiredItems)return items;hasRequiredItems=1,Object.defineProperty(items,"__esModule",{value:!0}),items.validateTuple=void 0;
+const codegen_1=requireCodegen(),util_1=requireUtil(),code_1=requireCode(),def={keyword:"items",type:"array",schemaType:["object","array","boolean"],before:"uniqueItems",code(cxt){const{schema,it}=cxt;if(Array.isArray(schema))return validateTuple(cxt,"additionalItems",schema);it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&cxt.ok((0,code_1.validateArray)(cxt))}};function validateTuple(cxt,extraItems,schArr=cxt.schema){const{gen,parentSchema,data,keyword:keyword2,it}=cxt;checkStrictTuple(parentSchema),
+it.opts.unevaluated&&schArr.length&&it.items!==!0&&(it.items=util_1.mergeEvaluated.items(gen,schArr.length,it.items));const valid2=gen.name("valid"),len=gen.const("len",(0,codegen_1._)`${data}.length`);schArr.forEach((sch,i)=>{(0,util_1.alwaysValidSchema)(it,sch)||(gen.if((0,codegen_1._)`${len} > ${i}`,()=>cxt.subschema({keyword:keyword2,schemaProp:i,dataProp:i},valid2)),cxt.ok(valid2))});function checkStrictTuple(sch){const{opts,errSchemaPath}=it,l=schArr.length,fullTuple=l===sch.minItems&&(l===
+sch.maxItems||sch[extraItems]===!1);if(opts.strictTuples&&!fullTuple){const msg=`"${keyword2}" is ${l}-tuple, but minItems or maxItems/${extraItems} are not specified or different at path "${errSchemaPath}"`;(0,util_1.checkStrictMode)(it,msg,opts.strictTuples)}}}return items.validateTuple=validateTuple,items.default=def,items}var hasRequiredPrefixItems;function requirePrefixItems(){if(hasRequiredPrefixItems)return prefixItems;hasRequiredPrefixItems=1,Object.defineProperty(prefixItems,"__esModule",
+{value:!0});const items_1=requireItems(),def={keyword:"prefixItems",type:"array",schemaType:["array"],before:"uniqueItems",code:cxt=>(0,items_1.validateTuple)(cxt,"items")};return prefixItems.default=def,prefixItems}var items2020={},hasRequiredItems2020;function requireItems2020(){if(hasRequiredItems2020)return items2020;hasRequiredItems2020=1,Object.defineProperty(items2020,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),code_1=requireCode(),additionalItems_1=requireAdditionalItems(),
+def={keyword:"items",type:"array",schemaType:["object","boolean"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{schema,parentSchema,it}=cxt,{prefixItems:prefixItems2}=parentSchema;it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&(prefixItems2?(0,additionalItems_1.validateAdditionalItems)(cxt,prefixItems2):cxt.ok((0,code_1.validateArray)(cxt)))}};return items2020.
+default=def,items2020}var contains$1={},hasRequiredContains;function requireContains(){if(hasRequiredContains)return contains$1;hasRequiredContains=1,Object.defineProperty(contains$1,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"contains",type:"array",schemaType:["object","boolean"],before:"uniqueItems",trackErrors:!0,error:{message:({params:{min:min2,max:max2}})=>max2===void 0?(0,codegen_1.str)`must contain at least ${min2} valid item(s)`:(0,codegen_1.
+str)`must contain at least ${min2} and no more than ${max2} valid item(s)`,params:({params:{min:min2,max:max2}})=>max2===void 0?(0,codegen_1._)`{minContains: ${min2}}`:(0,codegen_1._)`{minContains: ${min2}, maxContains: ${max2}}`},code(cxt){const{gen,schema,parentSchema,data,it}=cxt;let min2,max2;const{minContains,maxContains}=parentSchema;it.opts.next?(min2=minContains===void 0?1:minContains,max2=maxContains):min2=1;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(cxt.setParams({min:min2,
+max:max2}),max2===void 0&&min2===0){(0,util_1.checkStrictMode)(it,'"minContains" == 0 without "maxContains": "contains" keyword ignored');return}if(max2!==void 0&&min2>max2){(0,util_1.checkStrictMode)(it,'"minContains" > "maxContains" is always invalid'),cxt.fail();return}if((0,util_1.alwaysValidSchema)(it,schema)){let cond=(0,codegen_1._)`${len} >= ${min2}`;max2!==void 0&&(cond=(0,codegen_1._)`${cond} && ${len} <= ${max2}`),cxt.pass(cond);return}it.items=!0;const valid2=gen.name("valid");max2===
+void 0&&min2===1?validateItems(valid2,()=>gen.if(valid2,()=>gen.break())):min2===0?(gen.let(valid2,!0),max2!==void 0&&gen.if((0,codegen_1._)`${data}.length > 0`,validateItemsWithCount)):(gen.let(valid2,!1),validateItemsWithCount()),cxt.result(valid2,()=>cxt.reset());function validateItemsWithCount(){const schValid=gen.name("_valid"),count=gen.let("count",0);validateItems(schValid,()=>gen.if(schValid,()=>checkLimits(count)))}function validateItems(_valid,block2){gen.forRange("i",0,len,i=>{cxt.subschema(
+{keyword:"contains",dataProp:i,dataPropType:util_1.Type.Num,compositeRule:!0},_valid),block2()})}function checkLimits(count){gen.code((0,codegen_1._)`${count}++`),max2===void 0?gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(valid2,!0).break()):(gen.if((0,codegen_1._)`${count} > ${max2}`,()=>gen.assign(valid2,!1).break()),min2===1?gen.assign(valid2,!0):gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(valid2,!0)))}}};return contains$1.default=def,contains$1}var dependencies={},
+hasRequiredDependencies;function requireDependencies(){return hasRequiredDependencies||(hasRequiredDependencies=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.validateSchemaDeps=exports.validatePropertyDeps=exports.error=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),code_1=requireCode();exports.error={message:({params:{property,depsCount,deps}})=>{const property_ies=depsCount===1?"property":"properties";return(0,codegen_1.str)`must have ${property_ies} ${deps} when property ${property} is present`},
+params:({params:{property,depsCount,deps,missingProperty}})=>(0,codegen_1._)`{property: ${property},
+    missingProperty: ${missingProperty},
+    depsCount: ${depsCount},
+    deps: ${deps}}`};const def={keyword:"dependencies",type:"object",schemaType:"object",error:exports.error,code(cxt){const[propDeps,schDeps]=splitDependencies(cxt);validatePropertyDeps(cxt,propDeps),validateSchemaDeps(cxt,schDeps)}};function splitDependencies({schema}){const propertyDeps={},schemaDeps={};for(const key2 in schema){if(key2==="__proto__")continue;const deps=Array.isArray(schema[key2])?propertyDeps:schemaDeps;deps[key2]=schema[key2]}return[propertyDeps,schemaDeps]}function validatePropertyDeps(cxt,propertyDeps=cxt.
+schema){const{gen,data,it}=cxt;if(Object.keys(propertyDeps).length===0)return;const missing=gen.let("missing");for(const prop2 in propertyDeps){const deps=propertyDeps[prop2];if(deps.length===0)continue;const hasProperty=(0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties);cxt.setParams({property:prop2,depsCount:deps.length,deps:deps.join(", ")}),it.allErrors?gen.if(hasProperty,()=>{for(const depProp of deps)(0,code_1.checkReportMissingProp)(cxt,depProp)}):(gen.if((0,codegen_1._)`${hasProperty} && (${(0,code_1.
+checkMissingProp)(cxt,deps,missing)})`),(0,code_1.reportMissingProp)(cxt,missing),gen.else())}}exports.validatePropertyDeps=validatePropertyDeps;function validateSchemaDeps(cxt,schemaDeps=cxt.schema){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");for(const prop2 in schemaDeps)(0,util_1.alwaysValidSchema)(it,schemaDeps[prop2])||(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties),()=>{const schCxt=cxt.subschema({keyword:keyword2,schemaProp:prop2},valid2);cxt.mergeValidEvaluated(
+schCxt,valid2)},()=>gen.var(valid2,!0)),cxt.ok(valid2))}exports.validateSchemaDeps=validateSchemaDeps,exports.default=def}(dependencies)),dependencies}var propertyNames={},hasRequiredPropertyNames;function requirePropertyNames(){if(hasRequiredPropertyNames)return propertyNames;hasRequiredPropertyNames=1,Object.defineProperty(propertyNames,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"propertyNames",type:"object",schemaType:["object","boolean"],error:{
+message:"property name must be valid",params:({params})=>(0,codegen_1._)`{propertyName: ${params.propertyName}}`},code(cxt){const{gen,schema,data,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema))return;const valid2=gen.name("valid");gen.forIn("key",data,key2=>{cxt.setParams({propertyName:key2}),cxt.subschema({keyword:"propertyNames",data:key2,dataTypes:["string"],propertyName:key2,compositeRule:!0},valid2),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(!0),it.allErrors||gen.break()})}),cxt.ok(
+valid2)}};return propertyNames.default=def,propertyNames}var additionalProperties={},hasRequiredAdditionalProperties;function requireAdditionalProperties(){if(hasRequiredAdditionalProperties)return additionalProperties;hasRequiredAdditionalProperties=1,Object.defineProperty(additionalProperties,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),names_1=requireNames(),util_1=requireUtil(),def={keyword:"additionalProperties",type:["object"],schemaType:["boolean","object"],
+allowUndefined:!0,trackErrors:!0,error:{message:"must NOT have additional properties",params:({params})=>(0,codegen_1._)`{additionalProperty: ${params.additionalProperty}}`},code(cxt){const{gen,schema,parentSchema,data,errsCount,it}=cxt;if(!errsCount)throw new Error("ajv implementation error");const{allErrors,opts}=it;if(it.props=!0,opts.removeAdditional!=="all"&&(0,util_1.alwaysValidSchema)(it,schema))return;const props=(0,code_1.allSchemaProperties)(parentSchema.properties),patProps=(0,code_1.
+allSchemaProperties)(parentSchema.patternProperties);checkAdditionalProperties(),cxt.ok((0,codegen_1._)`${errsCount} === ${names_1.default.errors}`);function checkAdditionalProperties(){gen.forIn("key",data,key2=>{!props.length&&!patProps.length?additionalPropertyCode(key2):gen.if(isAdditional(key2),()=>additionalPropertyCode(key2))})}function isAdditional(key2){let definedProp;if(props.length>8){const propsSchema=(0,util_1.schemaRefOrVal)(it,parentSchema.properties,"properties");definedProp=(0,code_1.
+isOwnProperty)(gen,propsSchema,key2)}else props.length?definedProp=(0,codegen_1.or)(...props.map(p2=>(0,codegen_1._)`${key2} === ${p2}`)):definedProp=codegen_1.nil;return patProps.length&&(definedProp=(0,codegen_1.or)(definedProp,...patProps.map(p2=>(0,codegen_1._)`${(0,code_1.usePattern)(cxt,p2)}.test(${key2})`))),(0,codegen_1.not)(definedProp)}function deleteAdditional(key2){gen.code((0,codegen_1._)`delete ${data}[${key2}]`)}function additionalPropertyCode(key2){if(opts.removeAdditional==="all"||
+opts.removeAdditional&&schema===!1){deleteAdditional(key2);return}if(schema===!1){cxt.setParams({additionalProperty:key2}),cxt.error(),allErrors||gen.break();return}if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.name("valid");opts.removeAdditional==="failing"?(applyAdditionalSchema(key2,valid2,!1),gen.if((0,codegen_1.not)(valid2),()=>{cxt.reset(),deleteAdditional(key2)})):(applyAdditionalSchema(key2,valid2),allErrors||gen.if((0,codegen_1.not)(valid2),()=>gen.
+break()))}}function applyAdditionalSchema(key2,valid2,errors2){const subschema2={keyword:"additionalProperties",dataProp:key2,dataPropType:util_1.Type.Str};errors2===!1&&Object.assign(subschema2,{compositeRule:!0,createErrors:!1,allErrors:!1}),cxt.subschema(subschema2,valid2)}}};return additionalProperties.default=def,additionalProperties}var properties$2={},hasRequiredProperties;function requireProperties(){if(hasRequiredProperties)return properties$2;hasRequiredProperties=1,Object.defineProperty(
+properties$2,"__esModule",{value:!0});const validate_1=requireValidate(),code_1=requireCode(),util_1=requireUtil(),additionalProperties_1=requireAdditionalProperties(),def={keyword:"properties",type:"object",schemaType:"object",code(cxt){const{gen,schema,parentSchema,data,it}=cxt;it.opts.removeAdditional==="all"&&parentSchema.additionalProperties===void 0&&additionalProperties_1.default.code(new validate_1.KeywordCxt(it,additionalProperties_1.default,"additionalProperties"));const allProps=(0,code_1.
+allSchemaProperties)(schema);for(const prop2 of allProps)it.definedProperties.add(prop2);it.opts.unevaluated&&allProps.length&&it.props!==!0&&(it.props=util_1.mergeEvaluated.props(gen,(0,util_1.toHash)(allProps),it.props));const properties2=allProps.filter(p2=>!(0,util_1.alwaysValidSchema)(it,schema[p2]));if(properties2.length===0)return;const valid2=gen.name("valid");for(const prop2 of properties2)hasDefault(prop2)?applyPropertySchema(prop2):(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.
+ownProperties)),applyPropertySchema(prop2),it.allErrors||gen.else().var(valid2,!0),gen.endIf()),cxt.it.definedProperties.add(prop2),cxt.ok(valid2);function hasDefault(prop2){return it.opts.useDefaults&&!it.compositeRule&&schema[prop2].default!==void 0}function applyPropertySchema(prop2){cxt.subschema({keyword:"properties",schemaProp:prop2,dataProp:prop2},valid2)}}};return properties$2.default=def,properties$2}var patternProperties={},hasRequiredPatternProperties;function requirePatternProperties(){
+if(hasRequiredPatternProperties)return patternProperties;hasRequiredPatternProperties=1,Object.defineProperty(patternProperties,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),util_1=requireUtil(),util_2=requireUtil(),def={keyword:"patternProperties",type:"object",schemaType:"object",code(cxt){const{gen,schema,data,parentSchema,it}=cxt,{opts}=it,patterns=(0,code_1.allSchemaProperties)(schema),alwaysValidPatterns=patterns.filter(p2=>(0,util_1.alwaysValidSchema)(it,schema[p2]));
+if(patterns.length===0||alwaysValidPatterns.length===patterns.length&&(!it.opts.unevaluated||it.props===!0))return;const checkProperties=opts.strictSchema&&!opts.allowMatchingProperties&&parentSchema.properties,valid2=gen.name("valid");it.props!==!0&&!(it.props instanceof codegen_1.Name)&&(it.props=(0,util_2.evaluatedPropsToName)(gen,it.props));const{props}=it;validatePatternProperties();function validatePatternProperties(){for(const pat of patterns)checkProperties&&checkMatchingProperties(pat),
+it.allErrors?validateProperties(pat):(gen.var(valid2,!0),validateProperties(pat),gen.if(valid2))}function checkMatchingProperties(pat){for(const prop2 in checkProperties)new RegExp(pat).test(prop2)&&(0,util_1.checkStrictMode)(it,`property ${prop2} matches pattern ${pat} (use allowMatchingProperties)`)}function validateProperties(pat){gen.forIn("key",data,key2=>{gen.if((0,codegen_1._)`${(0,code_1.usePattern)(cxt,pat)}.test(${key2})`,()=>{const alwaysValid=alwaysValidPatterns.includes(pat);alwaysValid||
+cxt.subschema({keyword:"patternProperties",schemaProp:pat,dataProp:key2,dataPropType:util_2.Type.Str},valid2),it.opts.unevaluated&&props!==!0?gen.assign((0,codegen_1._)`${props}[${key2}]`,!0):!alwaysValid&&!it.allErrors&&gen.if((0,codegen_1.not)(valid2),()=>gen.break())})})}}};return patternProperties.default=def,patternProperties}var not={},hasRequiredNot;function requireNot(){if(hasRequiredNot)return not;hasRequiredNot=1,Object.defineProperty(not,"__esModule",{value:!0});const util_1=requireUtil(),
+def={keyword:"not",schemaType:["object","boolean"],trackErrors:!0,code(cxt){const{gen,schema,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema)){cxt.fail();return}const valid2=gen.name("valid");cxt.subschema({keyword:"not",compositeRule:!0,createErrors:!1,allErrors:!1},valid2),cxt.failResult(valid2,()=>cxt.reset(),()=>cxt.error())},error:{message:"must NOT be valid"}};return not.default=def,not}var anyOf={},hasRequiredAnyOf;function requireAnyOf(){if(hasRequiredAnyOf)return anyOf;hasRequiredAnyOf=
+1,Object.defineProperty(anyOf,"__esModule",{value:!0});const def={keyword:"anyOf",schemaType:"array",trackErrors:!0,code:requireCode().validateUnion,error:{message:"must match a schema in anyOf"}};return anyOf.default=def,anyOf}var oneOf={},hasRequiredOneOf;function requireOneOf(){if(hasRequiredOneOf)return oneOf;hasRequiredOneOf=1,Object.defineProperty(oneOf,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"oneOf",schemaType:"array",trackErrors:!0,error:{
+message:"must match exactly one schema in oneOf",params:({params})=>(0,codegen_1._)`{passingSchemas: ${params.passing}}`},code(cxt){const{gen,schema,parentSchema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(it.opts.discriminator&&parentSchema.discriminator)return;const schArr=schema,valid2=gen.let("valid",!1),passing=gen.let("passing",null),schValid=gen.name("_valid");cxt.setParams({passing}),gen.block(validateOneOf),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(
+!0));function validateOneOf(){schArr.forEach((sch,i)=>{let schCxt;(0,util_1.alwaysValidSchema)(it,sch)?gen.var(schValid,!0):schCxt=cxt.subschema({keyword:"oneOf",schemaProp:i,compositeRule:!0},schValid),i>0&&gen.if((0,codegen_1._)`${schValid} && ${valid2}`).assign(valid2,!1).assign(passing,(0,codegen_1._)`[${passing}, ${i}]`).else(),gen.if(schValid,()=>{gen.assign(valid2,!0),gen.assign(passing,i),schCxt&&cxt.mergeEvaluated(schCxt,codegen_1.Name)})})}}};return oneOf.default=def,oneOf}var allOf={},
+hasRequiredAllOf;function requireAllOf(){if(hasRequiredAllOf)return allOf;hasRequiredAllOf=1,Object.defineProperty(allOf,"__esModule",{value:!0});const util_1=requireUtil(),def={keyword:"allOf",schemaType:"array",code(cxt){const{gen,schema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");const valid2=gen.name("valid");schema.forEach((sch,i)=>{if((0,util_1.alwaysValidSchema)(it,sch))return;const schCxt=cxt.subschema({keyword:"allOf",schemaProp:i},valid2);cxt.ok(valid2),
+cxt.mergeEvaluated(schCxt)})}};return allOf.default=def,allOf}var _if={},hasRequired_if;function require_if(){if(hasRequired_if)return _if;hasRequired_if=1,Object.defineProperty(_if,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"if",schemaType:["object","boolean"],trackErrors:!0,error:{message:({params})=>(0,codegen_1.str)`must match "${params.ifClause}" schema`,params:({params})=>(0,codegen_1._)`{failingKeyword: ${params.ifClause}}`},code(cxt){const{
+gen,parentSchema,it}=cxt;parentSchema.then===void 0&&parentSchema.else===void 0&&(0,util_1.checkStrictMode)(it,'"if" without "then" and "else" is ignored');const hasThen=hasSchema(it,"then"),hasElse=hasSchema(it,"else");if(!hasThen&&!hasElse)return;const valid2=gen.let("valid",!0),schValid=gen.name("_valid");if(validateIf(),cxt.reset(),hasThen&&hasElse){const ifClause=gen.let("ifClause");cxt.setParams({ifClause}),gen.if(schValid,validateClause("then",ifClause),validateClause("else",ifClause))}else
+hasThen?gen.if(schValid,validateClause("then")):gen.if((0,codegen_1.not)(schValid),validateClause("else"));cxt.pass(valid2,()=>cxt.error(!0));function validateIf(){const schCxt=cxt.subschema({keyword:"if",compositeRule:!0,createErrors:!1,allErrors:!1},schValid);cxt.mergeEvaluated(schCxt)}function validateClause(keyword2,ifClause){return()=>{const schCxt=cxt.subschema({keyword:keyword2},schValid);gen.assign(valid2,schValid),cxt.mergeValidEvaluated(schCxt,valid2),ifClause?gen.assign(ifClause,(0,codegen_1.
+_)`${keyword2}`):cxt.setParams({ifClause:keyword2})}}}};function hasSchema(it,keyword2){const schema=it.schema[keyword2];return schema!==void 0&&!(0,util_1.alwaysValidSchema)(it,schema)}return _if.default=def,_if}var thenElse={},hasRequiredThenElse;function requireThenElse(){if(hasRequiredThenElse)return thenElse;hasRequiredThenElse=1,Object.defineProperty(thenElse,"__esModule",{value:!0});const util_1=requireUtil(),def={keyword:["then","else"],schemaType:["object","boolean"],code({keyword:keyword2,
+parentSchema,it}){parentSchema.if===void 0&&(0,util_1.checkStrictMode)(it,`"${keyword2}" without "if" is ignored`)}};return thenElse.default=def,thenElse}var hasRequiredApplicator;function requireApplicator(){if(hasRequiredApplicator)return applicator;hasRequiredApplicator=1,Object.defineProperty(applicator,"__esModule",{value:!0});const additionalItems_1=requireAdditionalItems(),prefixItems_1=requirePrefixItems(),items_1=requireItems(),items2020_1=requireItems2020(),contains_1=requireContains(),
+dependencies_1=requireDependencies(),propertyNames_1=requirePropertyNames(),additionalProperties_1=requireAdditionalProperties(),properties_12=requireProperties(),patternProperties_1=requirePatternProperties(),not_1=requireNot(),anyOf_1=requireAnyOf(),oneOf_1=requireOneOf(),allOf_1=requireAllOf(),if_1=require_if(),thenElse_1=requireThenElse();function getApplicator(draft2020=!1){const applicator2=[not_1.default,anyOf_1.default,oneOf_1.default,allOf_1.default,if_1.default,thenElse_1.default,propertyNames_1.
+default,additionalProperties_1.default,dependencies_1.default,properties_12.default,patternProperties_1.default];return draft2020?applicator2.push(prefixItems_1.default,items2020_1.default):applicator2.push(additionalItems_1.default,items_1.default),applicator2.push(contains_1.default),applicator2}return applicator.default=getApplicator,applicator}var format$1={},format={},hasRequiredFormat$1;function requireFormat$1(){if(hasRequiredFormat$1)return format;hasRequiredFormat$1=1,Object.defineProperty(
+format,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:"format",type:["number","string"],schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match format "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{format: ${schemaCode}}`},code(cxt,ruleType){const{gen,data,$data,schema,schemaCode,it}=cxt,{opts,errSchemaPath,schemaEnv,self:self2}=it;if(!opts.validateFormats)return;$data?validate$DataFormat():validateFormat();function validate$DataFormat(){
+const fmts=gen.scopeValue("formats",{ref:self2.formats,code:opts.code.formats}),fDef=gen.const("fDef",(0,codegen_1._)`${fmts}[${schemaCode}]`),fType=gen.let("fType"),format2=gen.let("format");gen.if((0,codegen_1._)`typeof ${fDef} == "object" && !(${fDef} instanceof RegExp)`,()=>gen.assign(fType,(0,codegen_1._)`${fDef}.type || "string"`).assign(format2,(0,codegen_1._)`${fDef}.validate`),()=>gen.assign(fType,(0,codegen_1._)`"string"`).assign(format2,fDef)),cxt.fail$data((0,codegen_1.or)(unknownFmt(),
+invalidFmt()));function unknownFmt(){return opts.strictSchema===!1?codegen_1.nil:(0,codegen_1._)`${schemaCode} && !${format2}`}function invalidFmt(){const callFormat=schemaEnv.$async?(0,codegen_1._)`(${fDef}.async ? await ${format2}(${data}) : ${format2}(${data}))`:(0,codegen_1._)`${format2}(${data})`,validData=(0,codegen_1._)`(typeof ${format2} == "function" ? ${callFormat} : ${format2}.test(${data}))`;return(0,codegen_1._)`${format2} && ${format2} !== true && ${fType} === ${ruleType} && !${validData}`}}
+function validateFormat(){const formatDef=self2.formats[schema];if(!formatDef){unknownFormat();return}if(formatDef===!0)return;const[fmtType,format2,fmtRef]=getFormat(formatDef);fmtType===ruleType&&cxt.pass(validCondition());function unknownFormat(){if(opts.strictSchema===!1){self2.logger.warn(unknownMsg());return}throw new Error(unknownMsg());function unknownMsg(){return`unknown format "${schema}" ignored in schema at path "${errSchemaPath}"`}}function getFormat(fmtDef){const code2=fmtDef instanceof
+RegExp?(0,codegen_1.regexpCode)(fmtDef):opts.code.formats?(0,codegen_1._)`${opts.code.formats}${(0,codegen_1.getProperty)(schema)}`:void 0,fmt=gen.scopeValue("formats",{key:schema,ref:fmtDef,code:code2});return typeof fmtDef=="object"&&!(fmtDef instanceof RegExp)?[fmtDef.type||"string",fmtDef.validate,(0,codegen_1._)`${fmt}.validate`]:["string",fmtDef,fmt]}function validCondition(){if(typeof formatDef=="object"&&!(formatDef instanceof RegExp)&&formatDef.async){if(!schemaEnv.$async)throw new Error(
+"async format in sync schema");return(0,codegen_1._)`await ${fmtRef}(${data})`}return typeof format2=="function"?(0,codegen_1._)`${fmtRef}(${data})`:(0,codegen_1._)`${fmtRef}.test(${data})`}}}};return format.default=def,format}var hasRequiredFormat;function requireFormat(){if(hasRequiredFormat)return format$1;hasRequiredFormat=1,Object.defineProperty(format$1,"__esModule",{value:!0});const format2=[requireFormat$1().default];return format$1.default=format2,format$1}var metadata={},hasRequiredMetadata;
+function requireMetadata(){return hasRequiredMetadata||(hasRequiredMetadata=1,Object.defineProperty(metadata,"__esModule",{value:!0}),metadata.contentVocabulary=metadata.metadataVocabulary=void 0,metadata.metadataVocabulary=["title","description","default","deprecated","readOnly","writeOnly","examples"],metadata.contentVocabulary=["contentMediaType","contentEncoding","contentSchema"]),metadata}var hasRequiredDraft7;function requireDraft7(){if(hasRequiredDraft7)return draft7;hasRequiredDraft7=1,Object.
+defineProperty(draft7,"__esModule",{value:!0});const core_1=requireCore(),validation_1=requireValidation(),applicator_1=requireApplicator(),format_1=requireFormat(),metadata_1=requireMetadata(),draft7Vocabularies=[core_1.default,validation_1.default,(0,applicator_1.default)(),format_1.default,metadata_1.metadataVocabulary,metadata_1.contentVocabulary];return draft7.default=draft7Vocabularies,draft7}var discriminator={},types$1={},hasRequiredTypes;function requireTypes(){if(hasRequiredTypes)return types$1;
+hasRequiredTypes=1,Object.defineProperty(types$1,"__esModule",{value:!0}),types$1.DiscrError=void 0;var DiscrError;return function(DiscrError2){DiscrError2.Tag="tag",DiscrError2.Mapping="mapping"}(DiscrError||(types$1.DiscrError=DiscrError={})),types$1}var hasRequiredDiscriminator;function requireDiscriminator(){if(hasRequiredDiscriminator)return discriminator;hasRequiredDiscriminator=1,Object.defineProperty(discriminator,"__esModule",{value:!0});const codegen_1=requireCodegen(),types_1=requireTypes(),
+compile_1=requireCompile(),ref_error_1=requireRef_error(),util_1=requireUtil(),def={keyword:"discriminator",type:"object",schemaType:"object",error:{message:({params:{discrError,tagName}})=>discrError===types_1.DiscrError.Tag?`tag "${tagName}" must be string`:`value of tag "${tagName}" must be in oneOf`,params:({params:{discrError,tag,tagName}})=>(0,codegen_1._)`{error: ${discrError}, tag: ${tagName}, tagValue: ${tag}}`},code(cxt){const{gen,data,schema,parentSchema,it}=cxt,{oneOf:oneOf2}=parentSchema;
+if(!it.opts.discriminator)throw new Error("discriminator: requires discriminator option");const tagName=schema.propertyName;if(typeof tagName!="string")throw new Error("discriminator: requires propertyName");if(schema.mapping)throw new Error("discriminator: mapping is not supported");if(!oneOf2)throw new Error("discriminator: requires oneOf keyword");const valid2=gen.let("valid",!1),tag=gen.const("tag",(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(tagName)}`);gen.if((0,codegen_1._)`typeof ${tag} == "string"`,
+()=>validateMapping(),()=>cxt.error(!1,{discrError:types_1.DiscrError.Tag,tag,tagName})),cxt.ok(valid2);function validateMapping(){const mapping=getMapping();gen.if(!1);for(const tagValue in mapping)gen.elseIf((0,codegen_1._)`${tag} === ${tagValue}`),gen.assign(valid2,applyTagSchema(mapping[tagValue]));gen.else(),cxt.error(!1,{discrError:types_1.DiscrError.Mapping,tag,tagName}),gen.endIf()}function applyTagSchema(schemaProp){const _valid=gen.name("valid"),schCxt=cxt.subschema({keyword:"oneOf",schemaProp},
+_valid);return cxt.mergeEvaluated(schCxt,codegen_1.Name),_valid}function getMapping(){var _a2;const oneOfMapping={},topRequired=hasRequired(parentSchema);let tagRequired=!0;for(let i=0;i<oneOf2.length;i++){let sch=oneOf2[i];if(sch?.$ref&&!(0,util_1.schemaHasRulesButRef)(sch,it.self.RULES)){const ref2=sch.$ref;if(sch=compile_1.resolveRef.call(it.self,it.schemaEnv.root,it.baseId,ref2),sch instanceof compile_1.SchemaEnv&&(sch=sch.schema),sch===void 0)throw new ref_error_1.default(it.opts.uriResolver,
+it.baseId,ref2)}const propSch=(_a2=sch?.properties)===null||_a2===void 0?void 0:_a2[tagName];if(typeof propSch!="object")throw new Error(`discriminator: oneOf subschemas (or referenced schemas) must have "properties/${tagName}"`);tagRequired=tagRequired&&(topRequired||hasRequired(sch)),addMappings(propSch,i)}if(!tagRequired)throw new Error(`discriminator: "${tagName}" must be required`);return oneOfMapping;function hasRequired({required:required2}){return Array.isArray(required2)&&required2.includes(
+tagName)}function addMappings(sch,i){if(sch.const)addMapping(sch.const,i);else if(sch.enum)for(const tagValue of sch.enum)addMapping(tagValue,i);else throw new Error(`discriminator: "properties/${tagName}" must have "const" or "enum"`)}function addMapping(tagValue,i){if(typeof tagValue!="string"||tagValue in oneOfMapping)throw new Error(`discriminator: "${tagName}" values must be unique strings`);oneOfMapping[tagValue]=i}}}};return discriminator.default=def,discriminator}const $schema="http://js\
+on-schema.org/draft-07/schema#",$id="http://json-schema.org/draft-07/schema#",title="Core schema meta-schema",definitions={schemaArray:{type:"array",minItems:1,items:{$ref:"#"}},nonNegativeInteger:{type:"integer",minimum:0},nonNegativeIntegerDefault0:{allOf:[{$ref:"#/definitions/nonNegativeInteger"},{default:0}]},simpleTypes:{enum:["array","boolean","integer","null","number","object","string"]},stringArray:{type:"array",items:{type:"string"},uniqueItems:!0,default:[]}},type=["object","boolean"],
+properties$1={$id:{type:"string",format:"uri-reference"},$schema:{type:"string",format:"uri"},$ref:{type:"string",format:"uri-reference"},$comment:{type:"string"},title:{type:"string"},description:{type:"string"},default:!0,readOnly:{type:"boolean",default:!1},examples:{type:"array",items:!0},multipleOf:{type:"number",exclusiveMinimum:0},maximum:{type:"number"},exclusiveMaximum:{type:"number"},minimum:{type:"number"},exclusiveMinimum:{type:"number"},maxLength:{$ref:"#/definitions/nonNegativeInte\
+ger"},minLength:{$ref:"#/definitions/nonNegativeIntegerDefault0"},pattern:{type:"string",format:"regex"},additionalItems:{$ref:"#"},items:{anyOf:[{$ref:"#"},{$ref:"#/definitions/schemaArray"}],default:!0},maxItems:{$ref:"#/definitions/nonNegativeInteger"},minItems:{$ref:"#/definitions/nonNegativeIntegerDefault0"},uniqueItems:{type:"boolean",default:!1},contains:{$ref:"#"},maxProperties:{$ref:"#/definitions/nonNegativeInteger"},minProperties:{$ref:"#/definitions/nonNegativeIntegerDefault0"},required:{
+$ref:"#/definitions/stringArray"},additionalProperties:{$ref:"#"},definitions:{type:"object",additionalProperties:{$ref:"#"},default:{}},properties:{type:"object",additionalProperties:{$ref:"#"},default:{}},patternProperties:{type:"object",additionalProperties:{$ref:"#"},propertyNames:{format:"regex"},default:{}},dependencies:{type:"object",additionalProperties:{anyOf:[{$ref:"#"},{$ref:"#/definitions/stringArray"}]}},propertyNames:{$ref:"#"},const:!0,enum:{type:"array",items:!0,minItems:1,uniqueItems:!0},
+type:{anyOf:[{$ref:"#/definitions/simpleTypes"},{type:"array",items:{$ref:"#/definitions/simpleTypes"},minItems:1,uniqueItems:!0}]},format:{type:"string"},contentMediaType:{type:"string"},contentEncoding:{type:"string"},if:{$ref:"#"},then:{$ref:"#"},else:{$ref:"#"},allOf:{$ref:"#/definitions/schemaArray"},anyOf:{$ref:"#/definitions/schemaArray"},oneOf:{$ref:"#/definitions/schemaArray"},not:{$ref:"#"}},require$$3={$schema,$id,title,definitions,type,properties:properties$1,default:!0};var hasRequiredAjv;
+function requireAjv(){return hasRequiredAjv||(hasRequiredAjv=1,function(module,exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.MissingRefError=exports.ValidationError=exports.CodeGen=exports.Name=exports.nil=exports.stringify=exports.str=exports._=exports.KeywordCxt=exports.Ajv=void 0;const core_1=requireCore$1(),draft7_1=requireDraft7(),discriminator_1=requireDiscriminator(),draft7MetaSchema=require$$3,META_SUPPORT_DATA=["/properties"],META_SCHEMA_ID="http://json-schema.\
+org/draft-07/schema";class Ajv2 extends core_1.default{_addVocabularies(){super._addVocabularies(),draft7_1.default.forEach(v=>this.addVocabulary(v)),this.opts.discriminator&&this.addKeyword(discriminator_1.default)}_addDefaultMetaSchema(){if(super._addDefaultMetaSchema(),!this.opts.meta)return;const metaSchema=this.opts.$data?this.$dataMetaSchema(draft7MetaSchema,META_SUPPORT_DATA):draft7MetaSchema;this.addMetaSchema(metaSchema,META_SCHEMA_ID,!1),this.refs["http://json-schema.org/schema"]=META_SCHEMA_ID}defaultMeta(){
+return this.opts.defaultMeta=super.defaultMeta()||(this.getSchema(META_SCHEMA_ID)?META_SCHEMA_ID:void 0)}}exports.Ajv=Ajv2,module.exports=exports=Ajv2,module.exports.Ajv=Ajv2,Object.defineProperty(exports,"__esModule",{value:!0}),exports.default=Ajv2;var validate_1=requireValidate();Object.defineProperty(exports,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen();Object.defineProperty(exports,"_",{enumerable:!0,get:function(){return codegen_1.
+_}}),Object.defineProperty(exports,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(exports,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});var validation_error_1=requireValidation_error();
+Object.defineProperty(exports,"ValidationError",{enumerable:!0,get:function(){return validation_error_1.default}});var ref_error_1=requireRef_error();Object.defineProperty(exports,"MissingRefError",{enumerable:!0,get:function(){return ref_error_1.default}})}(ajv,ajv.exports)),ajv.exports}var hasRequiredLimit;function requireLimit(){return hasRequiredLimit||(hasRequiredLimit=1,function(exports){Object.defineProperty(exports,"__esModule",{value:!0}),exports.formatLimitDefinition=void 0;const ajv_1=requireAjv(),
+codegen_1=requireCodegen(),ops=codegen_1.operators,KWDs={formatMaximum:{okStr:"<=",ok:ops.LTE,fail:ops.GT},formatMinimum:{okStr:">=",ok:ops.GTE,fail:ops.LT},formatExclusiveMaximum:{okStr:"<",ok:ops.LT,fail:ops.GTE},formatExclusiveMinimum:{okStr:">",ok:ops.GT,fail:ops.LTE}},error2={message:({keyword:keyword2,schemaCode})=>(0,codegen_1.str)`should be ${KWDs[keyword2].okStr} ${schemaCode}`,params:({keyword:keyword2,schemaCode})=>(0,codegen_1._)`{comparison: ${KWDs[keyword2].okStr}, limit: ${schemaCode}}`};
+exports.formatLimitDefinition={keyword:Object.keys(KWDs),type:"string",schemaType:"string",$data:!0,error:error2,code(cxt){const{gen,data,schemaCode,keyword:keyword2,it}=cxt,{opts,self:self2}=it;if(!opts.validateFormats)return;const fCxt=new ajv_1.KeywordCxt(it,self2.RULES.all.format.definition,"format");fCxt.$data?validate$DataFormat():validateFormat();function validate$DataFormat(){const fmts=gen.scopeValue("formats",{ref:self2.formats,code:opts.code.formats}),fmt=gen.const("fmt",(0,codegen_1.
+_)`${fmts}[${fCxt.schemaCode}]`);cxt.fail$data((0,codegen_1.or)((0,codegen_1._)`typeof ${fmt} != "object"`,(0,codegen_1._)`${fmt} instanceof RegExp`,(0,codegen_1._)`typeof ${fmt}.compare != "function"`,compareCode(fmt)))}function validateFormat(){const format2=fCxt.schema,fmtDef=self2.formats[format2];if(!fmtDef||fmtDef===!0)return;if(typeof fmtDef!="object"||fmtDef instanceof RegExp||typeof fmtDef.compare!="function")throw new Error(`"${keyword2}": format "${format2}" does not define "compare" \
+function`);const fmt=gen.scopeValue("formats",{key:format2,ref:fmtDef,code:opts.code.formats?(0,codegen_1._)`${opts.code.formats}${(0,codegen_1.getProperty)(format2)}`:void 0});cxt.fail$data(compareCode(fmt))}function compareCode(fmt){return(0,codegen_1._)`${fmt}.compare(${data}, ${schemaCode}) ${KWDs[keyword2].fail} 0`}},dependencies:["format"]};const formatLimitPlugin=ajv2=>(ajv2.addKeyword(exports.formatLimitDefinition),ajv2);exports.default=formatLimitPlugin}(limit)),limit}var hasRequiredDist;
+function requireDist(){return hasRequiredDist||(hasRequiredDist=1,function(module,exports){Object.defineProperty(exports,"__esModule",{value:!0});const formats_1=requireFormats(),limit_1=requireLimit(),codegen_1=requireCodegen(),fullName=new codegen_1.Name("fullFormats"),fastName=new codegen_1.Name("fastFormats"),formatsPlugin=(ajv2,opts={keywords:!0})=>{if(Array.isArray(opts))return addFormats(ajv2,opts,formats_1.fullFormats,fullName),ajv2;const[formats2,exportName]=opts.mode==="fast"?[formats_1.
+fastFormats,fastName]:[formats_1.fullFormats,fullName],list2=opts.formats||formats_1.formatNames;return addFormats(ajv2,list2,formats2,exportName),opts.keywords&&(0,limit_1.default)(ajv2),ajv2};formatsPlugin.get=(name,mode="full")=>{const f=(mode==="fast"?formats_1.fastFormats:formats_1.fullFormats)[name];if(!f)throw new Error(`Unknown format "${name}"`);return f};function addFormats(ajv2,list2,fs,exportName){var _a2,_b;(_a2=(_b=ajv2.opts.code).formats)!==null&&_a2!==void 0||(_b.formats=(0,codegen_1.
+_)`require("ajv-formats/dist/formats").${exportName}`);for(const f of list2)ajv2.addFormat(f,fs[f])}module.exports=exports=formatsPlugin,Object.defineProperty(exports,"__esModule",{value:!0}),exports.default=formatsPlugin}(dist,dist.exports)),dist.exports}var distExports=requireDist();const _addFormats=getDefaultExportFromCjs(distExports);function createDefaultAjvInstance(){const ajv2=new Ajv({strict:!1,validateFormats:!0,validateSchema:!1,allErrors:!0});return _addFormats(ajv2),ajv2}class AjvJsonSchemaValidator{constructor(ajv2){
+this._ajv=ajv2??createDefaultAjvInstance()}getValidator(schema){const ajvValidator="$id"in schema&&typeof schema.$id=="string"?this._ajv.getSchema(schema.$id)??this._ajv.compile(schema):this._ajv.compile(schema);return input=>ajvValidator(input)?{valid:!0,data:input,errorMessage:void 0}:{valid:!1,data:void 0,errorMessage:this._ajv.errorsText(ajvValidator.errors)}}}class ExperimentalClientTasks{constructor(_client){this._client=_client}async*callToolStream(params,resultSchema=CallToolResultSchema,options){
+const clientInternal=this._client,optionsWithTask={...options,task:options?.task??(clientInternal.isToolTask(params.name)?{}:void 0)},stream=clientInternal.requestStream({method:"tools/call",params},resultSchema,optionsWithTask),validator=clientInternal.getToolOutputValidator(params.name);for await(const message of stream){if(message.type==="result"&&validator){const result=message.result;if(!result.structuredContent&&!result.isError){yield{type:"error",error:new McpError(ErrorCode.InvalidRequest,
+`Tool ${params.name} has an output schema but did not return structured content`)};return}if(result.structuredContent)try{const validationResult=validator(result.structuredContent);if(!validationResult.valid){yield{type:"error",error:new McpError(ErrorCode.InvalidParams,`Structured content does not match the tool's output schema: ${validationResult.errorMessage}`)};return}}catch(error2){if(error2 instanceof McpError){yield{type:"error",error:error2};return}yield{type:"error",error:new McpError(ErrorCode.
+InvalidParams,`Failed to validate structured content: ${error2 instanceof Error?error2.message:String(error2)}`)};return}}yield message}}async getTask(taskId,options){return this._client.getTask({taskId},options)}async getTaskResult(taskId,resultSchema,options){return this._client.getTaskResult({taskId},resultSchema,options)}async listTasks(cursor,options){return this._client.listTasks(cursor?{cursor}:void 0,options)}async cancelTask(taskId,options){return this._client.cancelTask({taskId},options)}requestStream(request,resultSchema,options){
+return this._client.requestStream(request,resultSchema,options)}}function assertToolsCallTaskCapability(requests,method,entityName){if(!requests)throw new Error(`${entityName} does not support task creation (required for ${method})`);switch(method){case"tools/call":if(!requests.tools?.call)throw new Error(`${entityName} does not support task creation for tools/call (required for ${method})`);break}}function assertClientRequestTaskCapability(requests,method,entityName){if(!requests)throw new Error(
+`${entityName} does not support task creation (required for ${method})`);switch(method){case"sampling/createMessage":if(!requests.sampling?.createMessage)throw new Error(`${entityName} does not support task creation for sampling/createMessage (required for ${method})`);break;case"elicitation/create":if(!requests.elicitation?.create)throw new Error(`${entityName} does not support task creation for elicitation/create (required for ${method})`);break}}function applyElicitationDefaults(schema,data){
+if(!(!schema||data===null||typeof data!="object")){if(schema.type==="object"&&schema.properties&&typeof schema.properties=="object"){const obj=data,props=schema.properties;for(const key2 of Object.keys(props)){const propSchema=props[key2];obj[key2]===void 0&&Object.prototype.hasOwnProperty.call(propSchema,"default")&&(obj[key2]=propSchema.default),obj[key2]!==void 0&&applyElicitationDefaults(propSchema,obj[key2])}}if(Array.isArray(schema.anyOf))for(const sub2 of schema.anyOf)typeof sub2!="boolea\
+n"&&applyElicitationDefaults(sub2,data);if(Array.isArray(schema.oneOf))for(const sub2 of schema.oneOf)typeof sub2!="boolean"&&applyElicitationDefaults(sub2,data)}}function getSupportedElicitationModes(capabilities){if(!capabilities)return{supportsFormMode:!1,supportsUrlMode:!1};const hasFormCapability=capabilities.form!==void 0,hasUrlCapability=capabilities.url!==void 0;return{supportsFormMode:hasFormCapability||!hasFormCapability&&!hasUrlCapability,supportsUrlMode:hasUrlCapability}}class Client extends Protocol{constructor(_clientInfo,options){
+super(options),this._clientInfo=_clientInfo,this._cachedToolOutputValidators=new Map,this._cachedKnownTaskTools=new Set,this._cachedRequiredTaskTools=new Set,this._listChangedDebounceTimers=new Map,this._capabilities=options?.capabilities??{},this._jsonSchemaValidator=options?.jsonSchemaValidator??new AjvJsonSchemaValidator,options?.listChanged&&(this._pendingListChangedConfig=options.listChanged)}_setupListChangedHandlers(config2){config2.tools&&this._serverCapabilities?.tools?.listChanged&&this.
+_setupListChangedHandler("tools",ToolListChangedNotificationSchema,config2.tools,async()=>(await this.listTools()).tools),config2.prompts&&this._serverCapabilities?.prompts?.listChanged&&this._setupListChangedHandler("prompts",PromptListChangedNotificationSchema,config2.prompts,async()=>(await this.listPrompts()).prompts),config2.resources&&this._serverCapabilities?.resources?.listChanged&&this._setupListChangedHandler("resources",ResourceListChangedNotificationSchema,config2.resources,async()=>(await this.
+listResources()).resources)}get experimental(){return this._experimental||(this._experimental={tasks:new ExperimentalClientTasks(this)}),this._experimental}registerCapabilities(capabilities){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=mergeCapabilities(this._capabilities,capabilities)}setRequestHandler(requestSchema,handler){const methodSchema=getObjectShape(requestSchema)?.method;if(!methodSchema)throw new Error("Schema is m\
+issing a method literal");let methodValue;if(isZ4Schema(methodSchema)){const v4Schema=methodSchema;methodValue=v4Schema._zod?.def?.value??v4Schema.value}else{const v3Schema=methodSchema;methodValue=v3Schema._def?.value??v3Schema.value}if(typeof methodValue!="string")throw new Error("Schema method literal must be a string");const method=methodValue;if(method==="elicitation/create"){const wrappedHandler=async(request,extra)=>{const validatedRequest=safeParse$1(ElicitRequestSchema,request);if(!validatedRequest.
+success){const errorMessage=validatedRequest.error instanceof Error?validatedRequest.error.message:String(validatedRequest.error);throw new McpError(ErrorCode.InvalidParams,`Invalid elicitation request: ${errorMessage}`)}const{params}=validatedRequest.data;params.mode=params.mode??"form";const{supportsFormMode,supportsUrlMode}=getSupportedElicitationModes(this._capabilities.elicitation);if(params.mode==="form"&&!supportsFormMode)throw new McpError(ErrorCode.InvalidParams,"Client does not support\
+ form-mode elicitation requests");if(params.mode==="url"&&!supportsUrlMode)throw new McpError(ErrorCode.InvalidParams,"Client does not support URL-mode elicitation requests");const result=await Promise.resolve(handler(request,extra));if(params.task){const taskValidationResult=safeParse$1(CreateTaskResultSchema,result);if(!taskValidationResult.success){const errorMessage=taskValidationResult.error instanceof Error?taskValidationResult.error.message:String(taskValidationResult.error);throw new McpError(
+ErrorCode.InvalidParams,`Invalid task creation result: ${errorMessage}`)}return taskValidationResult.data}const validationResult=safeParse$1(ElicitResultSchema,result);if(!validationResult.success){const errorMessage=validationResult.error instanceof Error?validationResult.error.message:String(validationResult.error);throw new McpError(ErrorCode.InvalidParams,`Invalid elicitation result: ${errorMessage}`)}const validatedResult=validationResult.data,requestedSchema=params.mode==="form"?params.requestedSchema:
+void 0;if(params.mode==="form"&&validatedResult.action==="accept"&&validatedResult.content&&requestedSchema&&this._capabilities.elicitation?.form?.applyDefaults)try{applyElicitationDefaults(requestedSchema,validatedResult.content)}catch{}return validatedResult};return super.setRequestHandler(requestSchema,wrappedHandler)}if(method==="sampling/createMessage"){const wrappedHandler=async(request,extra)=>{const validatedRequest=safeParse$1(CreateMessageRequestSchema,request);if(!validatedRequest.success){
+const errorMessage=validatedRequest.error instanceof Error?validatedRequest.error.message:String(validatedRequest.error);throw new McpError(ErrorCode.InvalidParams,`Invalid sampling request: ${errorMessage}`)}const{params}=validatedRequest.data,result=await Promise.resolve(handler(request,extra));if(params.task){const taskValidationResult=safeParse$1(CreateTaskResultSchema,result);if(!taskValidationResult.success){const errorMessage=taskValidationResult.error instanceof Error?taskValidationResult.
+error.message:String(taskValidationResult.error);throw new McpError(ErrorCode.InvalidParams,`Invalid task creation result: ${errorMessage}`)}return taskValidationResult.data}const resultSchema=params.tools||params.toolChoice?CreateMessageResultWithToolsSchema:CreateMessageResultSchema,validationResult=safeParse$1(resultSchema,result);if(!validationResult.success){const errorMessage=validationResult.error instanceof Error?validationResult.error.message:String(validationResult.error);throw new McpError(
+ErrorCode.InvalidParams,`Invalid sampling result: ${errorMessage}`)}return validationResult.data};return super.setRequestHandler(requestSchema,wrappedHandler)}return super.setRequestHandler(requestSchema,handler)}assertCapability(capability,method){if(!this._serverCapabilities?.[capability])throw new Error(`Server does not support ${capability} (required for ${method})`)}async connect(transport,options){if(await super.connect(transport),transport.sessionId===void 0)try{const result=await this.request(
+{method:"initialize",params:{protocolVersion:LATEST_PROTOCOL_VERSION,capabilities:this._capabilities,clientInfo:this._clientInfo}},InitializeResultSchema,options);if(result===void 0)throw new Error(`Server sent invalid initialize result: ${result}`);if(!SUPPORTED_PROTOCOL_VERSIONS.includes(result.protocolVersion))throw new Error(`Server's protocol version is not supported: ${result.protocolVersion}`);this._serverCapabilities=result.capabilities,this._serverVersion=result.serverInfo,transport.setProtocolVersion&&
+transport.setProtocolVersion(result.protocolVersion),this._instructions=result.instructions,await this.notification({method:"notifications/initialized"}),this._pendingListChangedConfig&&(this._setupListChangedHandlers(this._pendingListChangedConfig),this._pendingListChangedConfig=void 0)}catch(error2){throw this.close(),error2}}getServerCapabilities(){return this._serverCapabilities}getServerVersion(){return this._serverVersion}getInstructions(){return this._instructions}assertCapabilityForMethod(method){
+switch(method){case"logging/setLevel":if(!this._serverCapabilities?.logging)throw new Error(`Server does not support logging (required for ${method})`);break;case"prompts/get":case"prompts/list":if(!this._serverCapabilities?.prompts)throw new Error(`Server does not support prompts (required for ${method})`);break;case"resources/list":case"resources/templates/list":case"resources/read":case"resources/subscribe":case"resources/unsubscribe":if(!this._serverCapabilities?.resources)throw new Error(`S\
+erver does not support resources (required for ${method})`);if(method==="resources/subscribe"&&!this._serverCapabilities.resources.subscribe)throw new Error(`Server does not support resource subscriptions (required for ${method})`);break;case"tools/call":case"tools/list":if(!this._serverCapabilities?.tools)throw new Error(`Server does not support tools (required for ${method})`);break;case"completion/complete":if(!this._serverCapabilities?.completions)throw new Error(`Server does not support com\
+pletions (required for ${method})`);break}}assertNotificationCapability(method){switch(method){case"notifications/roots/list_changed":if(!this._capabilities.roots?.listChanged)throw new Error(`Client does not support roots list changed notifications (required for ${method})`);break}}assertRequestHandlerCapability(method){if(this._capabilities)switch(method){case"sampling/createMessage":if(!this._capabilities.sampling)throw new Error(`Client does not support sampling capability (required for ${method}\
+)`);break;case"elicitation/create":if(!this._capabilities.elicitation)throw new Error(`Client does not support elicitation capability (required for ${method})`);break;case"roots/list":if(!this._capabilities.roots)throw new Error(`Client does not support roots capability (required for ${method})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Client does not support tasks capability (required for ${method})`);break}}assertTaskCapability(method){
+assertToolsCallTaskCapability(this._serverCapabilities?.tasks?.requests,method,"Server")}assertTaskHandlerCapability(method){this._capabilities&&assertClientRequestTaskCapability(this._capabilities.tasks?.requests,method,"Client")}async ping(options){return this.request({method:"ping"},EmptyResultSchema,options)}async complete(params,options){return this.request({method:"completion/complete",params},CompleteResultSchema,options)}async setLoggingLevel(level,options){return this.request({method:"l\
+ogging/setLevel",params:{level}},EmptyResultSchema,options)}async getPrompt(params,options){return this.request({method:"prompts/get",params},GetPromptResultSchema,options)}async listPrompts(params,options){return this.request({method:"prompts/list",params},ListPromptsResultSchema,options)}async listResources(params,options){return this.request({method:"resources/list",params},ListResourcesResultSchema,options)}async listResourceTemplates(params,options){return this.request({method:"resources/te\
+mplates/list",params},ListResourceTemplatesResultSchema,options)}async readResource(params,options){return this.request({method:"resources/read",params},ReadResourceResultSchema,options)}async subscribeResource(params,options){return this.request({method:"resources/subscribe",params},EmptyResultSchema,options)}async unsubscribeResource(params,options){return this.request({method:"resources/unsubscribe",params},EmptyResultSchema,options)}async callTool(params,resultSchema=CallToolResultSchema,options){
+if(this.isToolTaskRequired(params.name))throw new McpError(ErrorCode.InvalidRequest,`Tool "${params.name}" requires task-based execution. Use client.experimental.tasks.callToolStream() instead.`);const result=await this.request({method:"tools/call",params},resultSchema,options),validator=this.getToolOutputValidator(params.name);if(validator){if(!result.structuredContent&&!result.isError)throw new McpError(ErrorCode.InvalidRequest,`Tool ${params.name} has an output schema but did not return struc\
+tured content`);if(result.structuredContent)try{const validationResult=validator(result.structuredContent);if(!validationResult.valid)throw new McpError(ErrorCode.InvalidParams,`Structured content does not match the tool's output schema: ${validationResult.errorMessage}`)}catch(error2){throw error2 instanceof McpError?error2:new McpError(ErrorCode.InvalidParams,`Failed to validate structured content: ${error2 instanceof Error?error2.message:String(error2)}`)}}return result}isToolTask(toolName){return this.
+_serverCapabilities?.tasks?.requests?.tools?.call?this._cachedKnownTaskTools.has(toolName):!1}isToolTaskRequired(toolName){return this._cachedRequiredTaskTools.has(toolName)}cacheToolMetadata(tools){this._cachedToolOutputValidators.clear(),this._cachedKnownTaskTools.clear(),this._cachedRequiredTaskTools.clear();for(const tool of tools){if(tool.outputSchema){const toolValidator=this._jsonSchemaValidator.getValidator(tool.outputSchema);this._cachedToolOutputValidators.set(tool.name,toolValidator)}
+const taskSupport=tool.execution?.taskSupport;(taskSupport==="required"||taskSupport==="optional")&&this._cachedKnownTaskTools.add(tool.name),taskSupport==="required"&&this._cachedRequiredTaskTools.add(tool.name)}}getToolOutputValidator(toolName){return this._cachedToolOutputValidators.get(toolName)}async listTools(params,options){const result=await this.request({method:"tools/list",params},ListToolsResultSchema,options);return this.cacheToolMetadata(result.tools),result}_setupListChangedHandler(listType,notificationSchema,options,fetcher){
+const parseResult=ListChangedOptionsBaseSchema.safeParse(options);if(!parseResult.success)throw new Error(`Invalid ${listType} listChanged options: ${parseResult.error.message}`);if(typeof options.onChanged!="function")throw new Error(`Invalid ${listType} listChanged options: onChanged must be a function`);const{autoRefresh,debounceMs}=parseResult.data,{onChanged}=options,refresh=async()=>{if(!autoRefresh){onChanged(null,null);return}try{const items2=await fetcher();onChanged(null,items2)}catch(e){
+const error2=e instanceof Error?e:new Error(String(e));onChanged(error2,null)}},handler=()=>{if(debounceMs){const existingTimer=this._listChangedDebounceTimers.get(listType);existingTimer&&clearTimeout(existingTimer);const timer=setTimeout(refresh,debounceMs);this._listChangedDebounceTimers.set(listType,timer)}else refresh()};this.setNotificationHandler(notificationSchema,handler)}async sendRootsListChanged(){return this.notification({method:"notifications/roots/list_changed"})}}function normalizeHeaders(headers){
+return headers?headers instanceof Headers?Object.fromEntries(headers.entries()):Array.isArray(headers)?Object.fromEntries(headers):{...headers}:{}}function createFetchWithInit(baseFetch=fetch,baseInit){return baseInit?async(url2,init2)=>{const mergedInit={...baseInit,...init2,headers:init2?.headers?{...normalizeHeaders(baseInit.headers),...normalizeHeaders(init2.headers)}:baseInit.headers};return baseFetch(url2,mergedInit)}:baseFetch}let crypto$1;crypto$1=globalThis.crypto;async function getRandomValues(size2){
+return(await crypto$1).getRandomValues(new Uint8Array(size2))}async function random(size2){const mask="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._~",evenDistCutoff=Math.pow(2,8)-Math.pow(2,8)%mask.length;let result="";for(;result.length<size2;){const randomBytes=await getRandomValues(size2-result.length);for(const randomByte of randomBytes)randomByte<evenDistCutoff&&(result+=mask[randomByte%mask.length])}return result}async function generateVerifier(length){return await random(
+length)}async function generateChallenge(code_verifier){const buffer=await(await crypto$1).subtle.digest("SHA-256",new TextEncoder().encode(code_verifier));return btoa(String.fromCharCode(...new Uint8Array(buffer))).replace(/\//g,"_").replace(/\+/g,"-").replace(/=/g,"")}async function pkceChallenge(length){if(length||(length=43),length<43||length>128)throw`Expected a length between 43 and 128. Received ${length}.`;const verifier=await generateVerifier(length),challenge=await generateChallenge(verifier);
+return{code_verifier:verifier,code_challenge:challenge}}const SafeUrlSchema=url().superRefine((val,ctx)=>{if(!URL.canParse(val))return ctx.addIssue({code:ZodIssueCode.custom,message:"URL must be parseable",fatal:!0}),NEVER}).refine(url2=>{const u=new URL(url2);return u.protocol!=="javascript:"&&u.protocol!=="data:"&&u.protocol!=="vbscript:"},{message:"URL cannot use javascript:, data:, or vbscript: scheme"}),OAuthProtectedResourceMetadataSchema=looseObject({resource:string$2().url(),authorization_servers:array(
+SafeUrlSchema).optional(),jwks_uri:string$2().url().optional(),scopes_supported:array(string$2()).optional(),bearer_methods_supported:array(string$2()).optional(),resource_signing_alg_values_supported:array(string$2()).optional(),resource_name:string$2().optional(),resource_documentation:string$2().optional(),resource_policy_uri:string$2().url().optional(),resource_tos_uri:string$2().url().optional(),tls_client_certificate_bound_access_tokens:boolean$1().optional(),authorization_details_types_supported:array(
+string$2()).optional(),dpop_signing_alg_values_supported:array(string$2()).optional(),dpop_bound_access_tokens_required:boolean$1().optional()}),OAuthMetadataSchema=looseObject({issuer:string$2(),authorization_endpoint:SafeUrlSchema,token_endpoint:SafeUrlSchema,registration_endpoint:SafeUrlSchema.optional(),scopes_supported:array(string$2()).optional(),response_types_supported:array(string$2()),response_modes_supported:array(string$2()).optional(),grant_types_supported:array(string$2()).optional(),
+token_endpoint_auth_methods_supported:array(string$2()).optional(),token_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),service_documentation:SafeUrlSchema.optional(),revocation_endpoint:SafeUrlSchema.optional(),revocation_endpoint_auth_methods_supported:array(string$2()).optional(),revocation_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),introspection_endpoint:string$2().optional(),introspection_endpoint_auth_methods_supported:array(string$2()).
+optional(),introspection_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),code_challenge_methods_supported:array(string$2()).optional(),client_id_metadata_document_supported:boolean$1().optional()}),OpenIdProviderMetadataSchema=looseObject({issuer:string$2(),authorization_endpoint:SafeUrlSchema,token_endpoint:SafeUrlSchema,userinfo_endpoint:SafeUrlSchema.optional(),jwks_uri:SafeUrlSchema,registration_endpoint:SafeUrlSchema.optional(),scopes_supported:array(string$2()).optional(),
+response_types_supported:array(string$2()),response_modes_supported:array(string$2()).optional(),grant_types_supported:array(string$2()).optional(),acr_values_supported:array(string$2()).optional(),subject_types_supported:array(string$2()),id_token_signing_alg_values_supported:array(string$2()),id_token_encryption_alg_values_supported:array(string$2()).optional(),id_token_encryption_enc_values_supported:array(string$2()).optional(),userinfo_signing_alg_values_supported:array(string$2()).optional(),
+userinfo_encryption_alg_values_supported:array(string$2()).optional(),userinfo_encryption_enc_values_supported:array(string$2()).optional(),request_object_signing_alg_values_supported:array(string$2()).optional(),request_object_encryption_alg_values_supported:array(string$2()).optional(),request_object_encryption_enc_values_supported:array(string$2()).optional(),token_endpoint_auth_methods_supported:array(string$2()).optional(),token_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),
+display_values_supported:array(string$2()).optional(),claim_types_supported:array(string$2()).optional(),claims_supported:array(string$2()).optional(),service_documentation:string$2().optional(),claims_locales_supported:array(string$2()).optional(),ui_locales_supported:array(string$2()).optional(),claims_parameter_supported:boolean$1().optional(),request_parameter_supported:boolean$1().optional(),request_uri_parameter_supported:boolean$1().optional(),require_request_uri_registration:boolean$1().
+optional(),op_policy_uri:SafeUrlSchema.optional(),op_tos_uri:SafeUrlSchema.optional(),client_id_metadata_document_supported:boolean$1().optional()}),OpenIdProviderDiscoveryMetadataSchema=object({...OpenIdProviderMetadataSchema.shape,...OAuthMetadataSchema.pick({code_challenge_methods_supported:!0}).shape}),OAuthTokensSchema=object({access_token:string$2(),id_token:string$2().optional(),token_type:string$2(),expires_in:number$1().optional(),scope:string$2().optional(),refresh_token:string$2().optional()}).
+strip(),OAuthErrorResponseSchema=object({error:string$2(),error_description:string$2().optional(),error_uri:string$2().optional()}),OptionalSafeUrlSchema=SafeUrlSchema.optional().or(literal("").transform(()=>{})),OAuthClientMetadataSchema=object({redirect_uris:array(SafeUrlSchema),token_endpoint_auth_method:string$2().optional(),grant_types:array(string$2()).optional(),response_types:array(string$2()).optional(),client_name:string$2().optional(),client_uri:SafeUrlSchema.optional(),logo_uri:OptionalSafeUrlSchema,
+scope:string$2().optional(),contacts:array(string$2()).optional(),tos_uri:OptionalSafeUrlSchema,policy_uri:string$2().optional(),jwks_uri:SafeUrlSchema.optional(),jwks:any().optional(),software_id:string$2().optional(),software_version:string$2().optional(),software_statement:string$2().optional()}).strip(),OAuthClientInformationSchema=object({client_id:string$2(),client_secret:string$2().optional(),client_id_issued_at:number$2().optional(),client_secret_expires_at:number$2().optional()}).strip(),
+OAuthClientInformationFullSchema=OAuthClientMetadataSchema.merge(OAuthClientInformationSchema);object({error:string$2(),error_description:string$2().optional()}).strip();object({token:string$2(),token_type_hint:string$2().optional()}).strip();function resourceUrlFromServerUrl(url2){const resourceURL=typeof url2=="string"?new URL(url2):new URL(url2.href);return resourceURL.hash="",resourceURL}function checkResourceAllowed({requestedResource,configuredResource}){const requested=typeof requestedResource==
+"string"?new URL(requestedResource):new URL(requestedResource.href),configured=typeof configuredResource=="string"?new URL(configuredResource):new URL(configuredResource.href);if(requested.origin!==configured.origin||requested.pathname.length<configured.pathname.length)return!1;const requestedPath=requested.pathname.endsWith("/")?requested.pathname:requested.pathname+"/",configuredPath=configured.pathname.endsWith("/")?configured.pathname:configured.pathname+"/";return requestedPath.startsWith(configuredPath)}
+class OAuthError extends Error{constructor(message,errorUri){super(message),this.errorUri=errorUri,this.name=this.constructor.name}toResponseObject(){const response={error:this.errorCode,error_description:this.message};return this.errorUri&&(response.error_uri=this.errorUri),response}get errorCode(){return this.constructor.errorCode}}class InvalidRequestError extends OAuthError{}InvalidRequestError.errorCode="invalid_request";class InvalidClientError extends OAuthError{}InvalidClientError.errorCode=
+"invalid_client";class InvalidGrantError extends OAuthError{}InvalidGrantError.errorCode="invalid_grant";class UnauthorizedClientError extends OAuthError{}UnauthorizedClientError.errorCode="unauthorized_client";class UnsupportedGrantTypeError extends OAuthError{}UnsupportedGrantTypeError.errorCode="unsupported_grant_type";class InvalidScopeError extends OAuthError{}InvalidScopeError.errorCode="invalid_scope";class AccessDeniedError extends OAuthError{}AccessDeniedError.errorCode="access_denied";
+class ServerError extends OAuthError{}ServerError.errorCode="server_error";class TemporarilyUnavailableError extends OAuthError{}TemporarilyUnavailableError.errorCode="temporarily_unavailable";class UnsupportedResponseTypeError extends OAuthError{}UnsupportedResponseTypeError.errorCode="unsupported_response_type";class UnsupportedTokenTypeError extends OAuthError{}UnsupportedTokenTypeError.errorCode="unsupported_token_type";class InvalidTokenError extends OAuthError{}InvalidTokenError.errorCode=
+"invalid_token";class MethodNotAllowedError extends OAuthError{}MethodNotAllowedError.errorCode="method_not_allowed";class TooManyRequestsError extends OAuthError{}TooManyRequestsError.errorCode="too_many_requests";class InvalidClientMetadataError extends OAuthError{}InvalidClientMetadataError.errorCode="invalid_client_metadata";class InsufficientScopeError extends OAuthError{}InsufficientScopeError.errorCode="insufficient_scope";class InvalidTargetError extends OAuthError{}InvalidTargetError.errorCode=
+"invalid_target";const OAUTH_ERRORS={[InvalidRequestError.errorCode]:InvalidRequestError,[InvalidClientError.errorCode]:InvalidClientError,[InvalidGrantError.errorCode]:InvalidGrantError,[UnauthorizedClientError.errorCode]:UnauthorizedClientError,[UnsupportedGrantTypeError.errorCode]:UnsupportedGrantTypeError,[InvalidScopeError.errorCode]:InvalidScopeError,[AccessDeniedError.errorCode]:AccessDeniedError,[ServerError.errorCode]:ServerError,[TemporarilyUnavailableError.errorCode]:TemporarilyUnavailableError,
+[UnsupportedResponseTypeError.errorCode]:UnsupportedResponseTypeError,[UnsupportedTokenTypeError.errorCode]:UnsupportedTokenTypeError,[InvalidTokenError.errorCode]:InvalidTokenError,[MethodNotAllowedError.errorCode]:MethodNotAllowedError,[TooManyRequestsError.errorCode]:TooManyRequestsError,[InvalidClientMetadataError.errorCode]:InvalidClientMetadataError,[InsufficientScopeError.errorCode]:InsufficientScopeError,[InvalidTargetError.errorCode]:InvalidTargetError};class UnauthorizedError extends Error{constructor(message){
+super(message??"Unauthorized")}}function isClientAuthMethod(method){return["client_secret_basic","client_secret_post","none"].includes(method)}const AUTHORIZATION_CODE_RESPONSE_TYPE="code",AUTHORIZATION_CODE_CHALLENGE_METHOD="S256";function selectClientAuthMethod(clientInformation,supportedMethods){const hasClientSecret=clientInformation.client_secret!==void 0;return supportedMethods.length===0?hasClientSecret?"client_secret_post":"none":"token_endpoint_auth_method"in clientInformation&&clientInformation.
+token_endpoint_auth_method&&isClientAuthMethod(clientInformation.token_endpoint_auth_method)&&supportedMethods.includes(clientInformation.token_endpoint_auth_method)?clientInformation.token_endpoint_auth_method:hasClientSecret&&supportedMethods.includes("client_secret_basic")?"client_secret_basic":hasClientSecret&&supportedMethods.includes("client_secret_post")?"client_secret_post":supportedMethods.includes("none")?"none":hasClientSecret?"client_secret_post":"none"}function applyClientAuthentication(method,clientInformation,headers,params){
+const{client_id,client_secret}=clientInformation;switch(method){case"client_secret_basic":applyBasicAuth(client_id,client_secret,headers);return;case"client_secret_post":applyPostAuth(client_id,client_secret,params);return;case"none":applyPublicAuth(client_id,params);return;default:throw new Error(`Unsupported client authentication method: ${method}`)}}function applyBasicAuth(clientId,clientSecret,headers){if(!clientSecret)throw new Error("client_secret_basic authentication requires a client_sec\
+ret");const credentials=btoa(`${clientId}:${clientSecret}`);headers.set("Authorization",`Basic ${credentials}`)}function applyPostAuth(clientId,clientSecret,params){params.set("client_id",clientId),clientSecret&&params.set("client_secret",clientSecret)}function applyPublicAuth(clientId,params){params.set("client_id",clientId)}async function parseErrorResponse(input){const statusCode=input instanceof Response?input.status:void 0,body2=input instanceof Response?await input.text():input;try{const result=OAuthErrorResponseSchema.
+parse(JSON.parse(body2)),{error:error2,error_description,error_uri}=result,errorClass=OAUTH_ERRORS[error2]||ServerError;return new errorClass(error_description||"",error_uri)}catch(error2){const errorMessage=`${statusCode?`HTTP ${statusCode}: `:""}Invalid OAuth error response: ${error2}. Raw body: ${body2}`;return new ServerError(errorMessage)}}async function auth(provider,options){try{return await authInternal(provider,options)}catch(error2){if(error2 instanceof InvalidClientError||error2 instanceof
+UnauthorizedClientError)return await provider.invalidateCredentials?.("all"),await authInternal(provider,options);if(error2 instanceof InvalidGrantError)return await provider.invalidateCredentials?.("tokens"),await authInternal(provider,options);throw error2}}async function authInternal(provider,{serverUrl,authorizationCode,scope:scope2,resourceMetadataUrl,fetchFn}){let resourceMetadata,authorizationServerUrl;try{resourceMetadata=await discoverOAuthProtectedResourceMetadata(serverUrl,{resourceMetadataUrl},
+fetchFn),resourceMetadata.authorization_servers&&resourceMetadata.authorization_servers.length>0&&(authorizationServerUrl=resourceMetadata.authorization_servers[0])}catch{}authorizationServerUrl||(authorizationServerUrl=new URL("/",serverUrl));const resource=await selectResourceURL(serverUrl,provider,resourceMetadata),metadata2=await discoverAuthorizationServerMetadata(authorizationServerUrl,{fetchFn});let clientInformation=await Promise.resolve(provider.clientInformation());if(!clientInformation){
+if(authorizationCode!==void 0)throw new Error("Existing OAuth client information is required when exchanging an authorization code");const supportsUrlBasedClientId=metadata2?.client_id_metadata_document_supported===!0,clientMetadataUrl=provider.clientMetadataUrl;if(clientMetadataUrl&&!isHttpsUrl(clientMetadataUrl))throw new InvalidClientMetadataError(`clientMetadataUrl must be a valid HTTPS URL with a non-root pathname, got: ${clientMetadataUrl}`);if(supportsUrlBasedClientId&&clientMetadataUrl)clientInformation=
+{client_id:clientMetadataUrl},await provider.saveClientInformation?.(clientInformation);else{if(!provider.saveClientInformation)throw new Error("OAuth client information must be saveable for dynamic registration");const fullInformation=await registerClient(authorizationServerUrl,{metadata:metadata2,clientMetadata:provider.clientMetadata,fetchFn});await provider.saveClientInformation(fullInformation),clientInformation=fullInformation}}const nonInteractiveFlow=!provider.redirectUrl;if(authorizationCode!==
+void 0||nonInteractiveFlow){const tokens2=await fetchToken(provider,authorizationServerUrl,{metadata:metadata2,resource,authorizationCode,fetchFn});return await provider.saveTokens(tokens2),"AUTHORIZED"}const tokens=await provider.tokens();if(tokens?.refresh_token)try{const newTokens=await refreshAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,refreshToken:tokens.refresh_token,resource,addClientAuthentication:provider.addClientAuthentication,fetchFn});return await provider.
+saveTokens(newTokens),"AUTHORIZED"}catch(error2){if(!(!(error2 instanceof OAuthError)||error2 instanceof ServerError))throw error2}const state2=provider.state?await provider.state():void 0,{authorizationUrl,codeVerifier}=await startAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,state:state2,redirectUrl:provider.redirectUrl,scope:scope2||resourceMetadata?.scopes_supported?.join(" ")||provider.clientMetadata.scope,resource});return await provider.saveCodeVerifier(codeVerifier),
+await provider.redirectToAuthorization(authorizationUrl),"REDIRECT"}function isHttpsUrl(value){if(!value)return!1;try{const url2=new URL(value);return url2.protocol==="https:"&&url2.pathname!=="/"}catch{return!1}}async function selectResourceURL(serverUrl,provider,resourceMetadata){const defaultResource=resourceUrlFromServerUrl(serverUrl);if(provider.validateResourceURL)return await provider.validateResourceURL(defaultResource,resourceMetadata?.resource);if(resourceMetadata){if(!checkResourceAllowed(
+{requestedResource:defaultResource,configuredResource:resourceMetadata.resource}))throw new Error(`Protected resource ${resourceMetadata.resource} does not match expected ${defaultResource} (or origin)`);return new URL(resourceMetadata.resource)}}function extractWWWAuthenticateParams(res){const authenticateHeader=res.headers.get("WWW-Authenticate");if(!authenticateHeader)return{};const[type2,scheme2]=authenticateHeader.split(" ");if(type2.toLowerCase()!=="bearer"||!scheme2)return{};const resourceMetadataMatch=extractFieldFromWwwAuth(
+res,"resource_metadata")||void 0;let resourceMetadataUrl;if(resourceMetadataMatch)try{resourceMetadataUrl=new URL(resourceMetadataMatch)}catch{}const scope2=extractFieldFromWwwAuth(res,"scope")||void 0,error2=extractFieldFromWwwAuth(res,"error")||void 0;return{resourceMetadataUrl,scope:scope2,error:error2}}function extractFieldFromWwwAuth(response,fieldName){const wwwAuthHeader=response.headers.get("WWW-Authenticate");if(!wwwAuthHeader)return null;const pattern2=new RegExp(`${fieldName}=(?:"([^"\
+]+)"|([^\\s,]+))`),match=wwwAuthHeader.match(pattern2);return match?match[1]||match[2]:null}async function discoverOAuthProtectedResourceMetadata(serverUrl,opts,fetchFn=fetch){const response=await discoverMetadataWithFallback(serverUrl,"oauth-protected-resource",fetchFn,{protocolVersion:opts?.protocolVersion,metadataUrl:opts?.resourceMetadataUrl});if(!response||response.status===404)throw await response?.body?.cancel(),new Error("Resource server does not implement OAuth 2.0 Protected Resource Me\
+tadata.");if(!response.ok)throw await response.body?.cancel(),new Error(`HTTP ${response.status} trying to load well-known OAuth protected resource metadata.`);return OAuthProtectedResourceMetadataSchema.parse(await response.json())}async function fetchWithCorsRetry(url2,headers,fetchFn=fetch){try{return await fetchFn(url2,{headers})}catch(error2){if(error2 instanceof TypeError)return headers?fetchWithCorsRetry(url2,void 0,fetchFn):void 0;throw error2}}function buildWellKnownPath(wellKnownPrefix,pathname="",options={}){
+return pathname.endsWith("/")&&(pathname=pathname.slice(0,-1)),options.prependPathname?`${pathname}/.well-known/${wellKnownPrefix}`:`/.well-known/${wellKnownPrefix}${pathname}`}async function tryMetadataDiscovery(url2,protocolVersion,fetchFn=fetch){return await fetchWithCorsRetry(url2,{"MCP-Protocol-Version":protocolVersion},fetchFn)}function shouldAttemptFallback(response,pathname){return!response||response.status>=400&&response.status<500&&pathname!=="/"}async function discoverMetadataWithFallback(serverUrl,wellKnownType,fetchFn,opts){
+const issuer=new URL(serverUrl),protocolVersion=opts?.protocolVersion??LATEST_PROTOCOL_VERSION;let url2;if(opts?.metadataUrl)url2=new URL(opts.metadataUrl);else{const wellKnownPath=buildWellKnownPath(wellKnownType,issuer.pathname);url2=new URL(wellKnownPath,opts?.metadataServerUrl??issuer),url2.search=issuer.search}let response=await tryMetadataDiscovery(url2,protocolVersion,fetchFn);if(!opts?.metadataUrl&&shouldAttemptFallback(response,issuer.pathname)){const rootUrl=new URL(`/.well-known/${wellKnownType}`,
+issuer);response=await tryMetadataDiscovery(rootUrl,protocolVersion,fetchFn)}return response}function buildDiscoveryUrls(authorizationServerUrl){const url2=typeof authorizationServerUrl=="string"?new URL(authorizationServerUrl):authorizationServerUrl,hasPath=url2.pathname!=="/",urlsToTry=[];if(!hasPath)return urlsToTry.push({url:new URL("/.well-known/oauth-authorization-server",url2.origin),type:"oauth"}),urlsToTry.push({url:new URL("/.well-known/openid-configuration",url2.origin),type:"oidc"}),
+urlsToTry;let pathname=url2.pathname;return pathname.endsWith("/")&&(pathname=pathname.slice(0,-1)),urlsToTry.push({url:new URL(`/.well-known/oauth-authorization-server${pathname}`,url2.origin),type:"oauth"}),urlsToTry.push({url:new URL(`/.well-known/openid-configuration${pathname}`,url2.origin),type:"oidc"}),urlsToTry.push({url:new URL(`${pathname}/.well-known/openid-configuration`,url2.origin),type:"oidc"}),urlsToTry}async function discoverAuthorizationServerMetadata(authorizationServerUrl,{fetchFn=fetch,
+protocolVersion=LATEST_PROTOCOL_VERSION}={}){const headers={"MCP-Protocol-Version":protocolVersion,Accept:"application/json"},urlsToTry=buildDiscoveryUrls(authorizationServerUrl);for(const{url:endpointUrl,type:type2}of urlsToTry){const response=await fetchWithCorsRetry(endpointUrl,headers,fetchFn);if(response){if(!response.ok){if(await response.body?.cancel(),response.status>=400&&response.status<500)continue;throw new Error(`HTTP ${response.status} trying to load ${type2==="oauth"?"OAuth":"Open\
+ID provider"} metadata from ${endpointUrl}`)}return type2==="oauth"?OAuthMetadataSchema.parse(await response.json()):OpenIdProviderDiscoveryMetadataSchema.parse(await response.json())}}}async function startAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,redirectUrl,scope:scope2,state:state2,resource}){let authorizationUrl;if(metadata2){if(authorizationUrl=new URL(metadata2.authorization_endpoint),!metadata2.response_types_supported.includes(AUTHORIZATION_CODE_RESPONSE_TYPE))
+throw new Error(`Incompatible auth server: does not support response type ${AUTHORIZATION_CODE_RESPONSE_TYPE}`);if(metadata2.code_challenge_methods_supported&&!metadata2.code_challenge_methods_supported.includes(AUTHORIZATION_CODE_CHALLENGE_METHOD))throw new Error(`Incompatible auth server: does not support code challenge method ${AUTHORIZATION_CODE_CHALLENGE_METHOD}`)}else authorizationUrl=new URL("/authorize",authorizationServerUrl);const challenge=await pkceChallenge(),codeVerifier=challenge.
+code_verifier,codeChallenge=challenge.code_challenge;return authorizationUrl.searchParams.set("response_type",AUTHORIZATION_CODE_RESPONSE_TYPE),authorizationUrl.searchParams.set("client_id",clientInformation.client_id),authorizationUrl.searchParams.set("code_challenge",codeChallenge),authorizationUrl.searchParams.set("code_challenge_method",AUTHORIZATION_CODE_CHALLENGE_METHOD),authorizationUrl.searchParams.set("redirect_uri",String(redirectUrl)),state2&&authorizationUrl.searchParams.set("state",
+state2),scope2&&authorizationUrl.searchParams.set("scope",scope2),scope2?.includes("offline_access")&&authorizationUrl.searchParams.append("prompt","consent"),resource&&authorizationUrl.searchParams.set("resource",resource.href),{authorizationUrl,codeVerifier}}function prepareAuthorizationCodeRequest(authorizationCode,codeVerifier,redirectUri){return new URLSearchParams({grant_type:"authorization_code",code:authorizationCode,code_verifier:codeVerifier,redirect_uri:String(redirectUri)})}async function executeTokenRequest(authorizationServerUrl,{
+metadata:metadata2,tokenRequestParams,clientInformation,addClientAuthentication,resource,fetchFn}){const tokenUrl=metadata2?.token_endpoint?new URL(metadata2.token_endpoint):new URL("/token",authorizationServerUrl),headers=new Headers({"Content-Type":"application/x-www-form-urlencoded",Accept:"application/json"});if(resource&&tokenRequestParams.set("resource",resource.href),addClientAuthentication)await addClientAuthentication(headers,tokenRequestParams,tokenUrl,metadata2);else if(clientInformation){
+const supportedMethods=metadata2?.token_endpoint_auth_methods_supported??[],authMethod=selectClientAuthMethod(clientInformation,supportedMethods);applyClientAuthentication(authMethod,clientInformation,headers,tokenRequestParams)}const response=await(fetchFn??fetch)(tokenUrl,{method:"POST",headers,body:tokenRequestParams});if(!response.ok)throw await parseErrorResponse(response);return OAuthTokensSchema.parse(await response.json())}async function refreshAuthorization(authorizationServerUrl,{metadata:metadata2,
+clientInformation,refreshToken,resource,addClientAuthentication,fetchFn}){const tokenRequestParams=new URLSearchParams({grant_type:"refresh_token",refresh_token:refreshToken}),tokens=await executeTokenRequest(authorizationServerUrl,{metadata:metadata2,tokenRequestParams,clientInformation,addClientAuthentication,resource,fetchFn});return{refresh_token:refreshToken,...tokens}}async function fetchToken(provider,authorizationServerUrl,{metadata:metadata2,resource,authorizationCode,fetchFn}={}){const scope2=provider.
+clientMetadata.scope;let tokenRequestParams;if(provider.prepareTokenRequest&&(tokenRequestParams=await provider.prepareTokenRequest(scope2)),!tokenRequestParams){if(!authorizationCode)throw new Error("Either provider.prepareTokenRequest() or authorizationCode is required");if(!provider.redirectUrl)throw new Error("redirectUrl is required for authorization_code flow");const codeVerifier=await provider.codeVerifier();tokenRequestParams=prepareAuthorizationCodeRequest(authorizationCode,codeVerifier,
+provider.redirectUrl)}const clientInformation=await provider.clientInformation();return executeTokenRequest(authorizationServerUrl,{metadata:metadata2,tokenRequestParams,clientInformation:clientInformation??void 0,addClientAuthentication:provider.addClientAuthentication,resource,fetchFn})}async function registerClient(authorizationServerUrl,{metadata:metadata2,clientMetadata,fetchFn}){let registrationUrl;if(metadata2){if(!metadata2.registration_endpoint)throw new Error("Incompatible auth server:\
+ does not support dynamic client registration");registrationUrl=new URL(metadata2.registration_endpoint)}else registrationUrl=new URL("/register",authorizationServerUrl);const response=await(fetchFn??fetch)(registrationUrl,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(clientMetadata)});if(!response.ok)throw await parseErrorResponse(response);return OAuthClientInformationFullSchema.parse(await response.json())}let ParseError$1=class extends Error{constructor(message,options){
+super(message),this.name="ParseError",this.type=options.type,this.field=options.field,this.value=options.value,this.line=options.line}};function noop(_arg){}function createParser$1(callbacks){if(typeof callbacks=="function")throw new TypeError("`callbacks` must be an object, got a function instead. Did you mean `{onEvent: fn}`?");const{onEvent=noop,onError=noop,onRetry=noop,onComment}=callbacks;let incompleteLine="",isFirstChunk=!0,id2,data="",eventType="";function feed(newChunk){const chunk=isFirstChunk?
+newChunk.replace(/^\xEF\xBB\xBF/,""):newChunk,[complete,incomplete]=splitLines(`${incompleteLine}${chunk}`);for(const line of complete)parseLine(line);incompleteLine=incomplete,isFirstChunk=!1}function parseLine(line){if(line===""){dispatchEvent2();return}if(line.startsWith(":")){onComment&&onComment(line.slice(line.startsWith(": ")?2:1));return}const fieldSeparatorIndex=line.indexOf(":");if(fieldSeparatorIndex!==-1){const field=line.slice(0,fieldSeparatorIndex),offset2=line[fieldSeparatorIndex+
+1]===" "?2:1,value=line.slice(fieldSeparatorIndex+offset2);processField(field,value,line);return}processField(line,"",line)}function processField(field,value,line){switch(field){case"event":eventType=value;break;case"data":data=`${data}${value}
+`;break;case"id":id2=value.includes("\0")?void 0:value;break;case"retry":/^\d+$/.test(value)?onRetry(parseInt(value,10)):onError(new ParseError$1(`Invalid \`retry\` value: "${value}"`,{type:"invalid-retry",value,line}));break;default:onError(new ParseError$1(`Unknown field "${field.length>20?`${field.slice(0,20)}…`:field}"`,{type:"unknown-field",field,value,line}));break}}function dispatchEvent2(){data.length>0&&onEvent({id:id2,event:eventType||void 0,data:data.endsWith(`
+`)?data.slice(0,-1):data}),id2=void 0,data="",eventType=""}function reset2(options={}){incompleteLine&&options.consume&&parseLine(incompleteLine),isFirstChunk=!0,id2=void 0,data="",eventType="",incompleteLine=""}return{feed,reset:reset2}}function splitLines(chunk){const lines=[];let incompleteLine="",searchIndex=0;for(;searchIndex<chunk.length;){const crIndex=chunk.indexOf("\r",searchIndex),lfIndex=chunk.indexOf(`
+`,searchIndex);let lineEnd=-1;if(crIndex!==-1&&lfIndex!==-1?lineEnd=Math.min(crIndex,lfIndex):crIndex!==-1?crIndex===chunk.length-1?lineEnd=-1:lineEnd=crIndex:lfIndex!==-1&&(lineEnd=lfIndex),lineEnd===-1){incompleteLine=chunk.slice(searchIndex);break}else{const line=chunk.slice(searchIndex,lineEnd);lines.push(line),searchIndex=lineEnd+1,chunk[searchIndex-1]==="\r"&&chunk[searchIndex]===`
+`&&searchIndex++}}return[lines,incompleteLine]}class EventSourceParserStream extends TransformStream{constructor({onError,onRetry,onComment}={}){let parser;super({start(controller){parser=createParser$1({onEvent:event2=>{controller.enqueue(event2)},onError(error2){onError==="terminate"?controller.error(error2):typeof onError=="function"&&onError(error2)},onRetry,onComment})},transform(chunk){parser.feed(chunk)}})}}const DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS={initialReconnectionDelay:1e3,maxReconnectionDelay:3e4,
+reconnectionDelayGrowFactor:1.5,maxRetries:2};class StreamableHTTPError extends Error{constructor(code2,message){super(`Streamable HTTP error: ${message}`),this.code=code2}}class StreamableHTTPClientTransport{constructor(url2,opts){this._hasCompletedAuthFlow=!1,this._url=url2,this._resourceMetadataUrl=void 0,this._scope=void 0,this._requestInit=opts?.requestInit,this._authProvider=opts?.authProvider,this._fetch=opts?.fetch,this._fetchWithInit=createFetchWithInit(opts?.fetch,opts?.requestInit),this.
+_sessionId=opts?.sessionId,this._reconnectionOptions=opts?.reconnectionOptions??DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS}async _authThenStart(){if(!this._authProvider)throw new UnauthorizedError("No auth provider");let result;try{result=await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})}catch(error2){throw this.onerror?.(error2),error2}if(result!=="AUTHORIZED")throw new UnauthorizedError;return await this.
+_startOrAuthSse({resumptionToken:void 0})}async _commonHeaders(){const headers={};if(this._authProvider){const tokens=await this._authProvider.tokens();tokens&&(headers.Authorization=`Bearer ${tokens.access_token}`)}this._sessionId&&(headers["mcp-session-id"]=this._sessionId),this._protocolVersion&&(headers["mcp-protocol-version"]=this._protocolVersion);const extraHeaders=normalizeHeaders(this._requestInit?.headers);return new Headers({...headers,...extraHeaders})}async _startOrAuthSse(options){
+const{resumptionToken}=options;try{const headers=await this._commonHeaders();headers.set("Accept","text/event-stream"),resumptionToken&&headers.set("last-event-id",resumptionToken);const response=await(this._fetch??fetch)(this._url,{method:"GET",headers,signal:this._abortController?.signal});if(!response.ok){if(await response.body?.cancel(),response.status===401&&this._authProvider)return await this._authThenStart();if(response.status===405)return;throw new StreamableHTTPError(response.status,`F\
+ailed to open SSE stream: ${response.statusText}`)}this._handleSseStream(response.body,options,!0)}catch(error2){throw this.onerror?.(error2),error2}}_getNextReconnectionDelay(attempt){if(this._serverRetryMs!==void 0)return this._serverRetryMs;const initialDelay=this._reconnectionOptions.initialReconnectionDelay,growFactor=this._reconnectionOptions.reconnectionDelayGrowFactor,maxDelay=this._reconnectionOptions.maxReconnectionDelay;return Math.min(initialDelay*Math.pow(growFactor,attempt),maxDelay)}_scheduleReconnection(options,attemptCount=0){
+const maxRetries=this._reconnectionOptions.maxRetries;if(attemptCount>=maxRetries){this.onerror?.(new Error(`Maximum reconnection attempts (${maxRetries}) exceeded.`));return}const delay=this._getNextReconnectionDelay(attemptCount);this._reconnectionTimeout=setTimeout(()=>{this._startOrAuthSse(options).catch(error2=>{this.onerror?.(new Error(`Failed to reconnect SSE stream: ${error2 instanceof Error?error2.message:String(error2)}`)),this._scheduleReconnection(options,attemptCount+1)})},delay)}_handleSseStream(stream,options,isReconnectable){
+if(!stream)return;const{onresumptiontoken,replayMessageId}=options;let lastEventId,hasPrimingEvent=!1,receivedResponse=!1;(async()=>{try{const reader=stream.pipeThrough(new TextDecoderStream).pipeThrough(new EventSourceParserStream({onRetry:retryMs=>{this._serverRetryMs=retryMs}})).getReader();for(;;){const{value:event2,done}=await reader.read();if(done)break;if(event2.id&&(lastEventId=event2.id,hasPrimingEvent=!0,onresumptiontoken?.(event2.id)),!!event2.data&&(!event2.event||event2.event==="mes\
+sage"))try{const message=JSONRPCMessageSchema.parse(JSON.parse(event2.data));isJSONRPCResultResponse(message)&&(receivedResponse=!0,replayMessageId!==void 0&&(message.id=replayMessageId)),this.onmessage?.(message)}catch(error2){this.onerror?.(error2)}}(isReconnectable||hasPrimingEvent)&&!receivedResponse&&this._abortController&&!this._abortController.signal.aborted&&this._scheduleReconnection({resumptionToken:lastEventId,onresumptiontoken,replayMessageId},0)}catch(error2){if(this.onerror?.(new Error(
+`SSE stream disconnected: ${error2}`)),(isReconnectable||hasPrimingEvent)&&!receivedResponse&&this._abortController&&!this._abortController.signal.aborted)try{this._scheduleReconnection({resumptionToken:lastEventId,onresumptiontoken,replayMessageId},0)}catch(error3){this.onerror?.(new Error(`Failed to reconnect: ${error3 instanceof Error?error3.message:String(error3)}`))}}})()}async start(){if(this._abortController)throw new Error("StreamableHTTPClientTransport already started! If using Client c\
+lass, note that connect() calls start() automatically.");this._abortController=new AbortController}async finishAuth(authorizationCode){if(!this._authProvider)throw new UnauthorizedError("No auth provider");if(await auth(this._authProvider,{serverUrl:this._url,authorizationCode,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError("Failed to authorize")}async close(){this._reconnectionTimeout&&(clearTimeout(this._reconnectionTimeout),
+this._reconnectionTimeout=void 0),this._abortController?.abort(),this.onclose?.()}async send(message,options){try{const{resumptionToken,onresumptiontoken}=options||{};if(resumptionToken){this._startOrAuthSse({resumptionToken,replayMessageId:isJSONRPCRequest(message)?message.id:void 0}).catch(err=>this.onerror?.(err));return}const headers=await this._commonHeaders();headers.set("content-type","application/json"),headers.set("accept","application/json, text/event-stream");const init2={...this._requestInit,
+method:"POST",headers,body:JSON.stringify(message),signal:this._abortController?.signal},response=await(this._fetch??fetch)(this._url,init2),sessionId=response.headers.get("mcp-session-id");if(sessionId&&(this._sessionId=sessionId),!response.ok){const text2=await response.text().catch(()=>null);if(response.status===401&&this._authProvider){if(this._hasCompletedAuthFlow)throw new StreamableHTTPError(401,"Server returned 401 after successful authentication");const{resourceMetadataUrl,scope:scope2}=extractWWWAuthenticateParams(
+response);if(this._resourceMetadataUrl=resourceMetadataUrl,this._scope=scope2,await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError;return this._hasCompletedAuthFlow=!0,this.send(message)}if(response.status===403&&this._authProvider){const{resourceMetadataUrl,scope:scope2,error:error2}=extractWWWAuthenticateParams(response);if(error2==="insufficient_scope"){const wwwAuthHeader=response.
+headers.get("WWW-Authenticate");if(this._lastUpscopingHeader===wwwAuthHeader)throw new StreamableHTTPError(403,"Server returned 403 after trying upscoping");if(scope2&&(this._scope=scope2),resourceMetadataUrl&&(this._resourceMetadataUrl=resourceMetadataUrl),this._lastUpscopingHeader=wwwAuthHeader??void 0,await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetch})!=="AUTHORIZED")throw new UnauthorizedError;return this.send(
+message)}}throw new StreamableHTTPError(response.status,`Error POSTing to endpoint: ${text2}`)}if(this._hasCompletedAuthFlow=!1,this._lastUpscopingHeader=void 0,response.status===202){await response.body?.cancel(),isInitializedNotification(message)&&this._startOrAuthSse({resumptionToken:void 0}).catch(err=>this.onerror?.(err));return}const hasRequests=(Array.isArray(message)?message:[message]).filter(msg=>"method"in msg&&"id"in msg&&msg.id!==void 0).length>0,contentType=response.headers.get("con\
+tent-type");if(hasRequests)if(contentType?.includes("text/event-stream"))this._handleSseStream(response.body,{onresumptiontoken},!1);else if(contentType?.includes("application/json")){const data=await response.json(),responseMessages=Array.isArray(data)?data.map(msg=>JSONRPCMessageSchema.parse(msg)):[JSONRPCMessageSchema.parse(data)];for(const msg of responseMessages)this.onmessage?.(msg)}else throw await response.body?.cancel(),new StreamableHTTPError(-1,`Unexpected content type: ${contentType}`);else
+await response.body?.cancel()}catch(error2){throw this.onerror?.(error2),error2}}get sessionId(){return this._sessionId}async terminateSession(){if(this._sessionId)try{const headers=await this._commonHeaders(),init2={...this._requestInit,method:"DELETE",headers,signal:this._abortController?.signal},response=await(this._fetch??fetch)(this._url,init2);if(await response.body?.cancel(),!response.ok&&response.status!==405)throw new StreamableHTTPError(response.status,`Failed to terminate session: ${response.
+statusText}`);this._sessionId=void 0}catch(error2){throw this.onerror?.(error2),error2}}setProtocolVersion(version2){this._protocolVersion=version2}get protocolVersion(){return this._protocolVersion}async resumeStream(lastEventId,options){await this._startOrAuthSse({resumptionToken:lastEventId,onresumptiontoken:options?.onresumptiontoken})}}class ErrorEvent extends Event{constructor(type2,errorEventInitDict){var _a2,_b;super(type2),this.code=(_a2=errorEventInitDict?.code)!=null?_a2:void 0,this.message=
+(_b=errorEventInitDict?.message)!=null?_b:void 0}[Symbol.for("nodejs.util.inspect.custom")](_depth,options,inspect){return inspect(inspectableError(this),options)}[Symbol.for("Deno.customInspect")](inspect,options){return inspect(inspectableError(this),options)}}function syntaxError(message){const DomException=globalThis.DOMException;return typeof DomException=="function"?new DomException(message,"SyntaxError"):new SyntaxError(message)}function flattenError(err){return err instanceof Error?"erro\
+rs"in err&&Array.isArray(err.errors)?err.errors.map(flattenError).join(", "):"cause"in err&&err.cause instanceof Error?`${err}: ${flattenError(err.cause)}`:err.message:`${err}`}function inspectableError(err){return{type:err.type,message:err.message,code:err.code,defaultPrevented:err.defaultPrevented,cancelable:err.cancelable,timeStamp:err.timeStamp}}var __typeError2=msg=>{throw TypeError(msg)},__accessCheck2=(obj,member,msg)=>member.has(obj)||__typeError2("Cannot "+msg),__privateGet2=(obj,member,getter)=>(__accessCheck2(
+obj,member,"read from private field"),getter?getter.call(obj):member.get(obj)),__privateAdd2=(obj,member,value)=>member.has(obj)?__typeError2("Cannot add the same private member more than once"):member instanceof WeakSet?member.add(obj):member.set(obj,value),__privateSet2=(obj,member,value,setter)=>(__accessCheck2(obj,member,"write to private field"),member.set(obj,value),value),__privateMethod2=(obj,member,method)=>(__accessCheck2(obj,member,"access private method"),method),_readyState,_url,_redirectUrl,
+_withCredentials,_fetch,_reconnectInterval,_reconnectTimer,_lastEventId,_controller,_parser,_onError,_onMessage,_onOpen,_EventSource_instances,connect_fn,_onFetchResponse,_onFetchError,getRequestOptions_fn,_onEvent,_onRetryChange,failConnection_fn,scheduleReconnect_fn,_reconnect;class EventSource extends EventTarget{constructor(url2,eventSourceInitDict){var _a2,_b;super(),__privateAdd2(this,_EventSource_instances),this.CONNECTING=0,this.OPEN=1,this.CLOSED=2,__privateAdd2(this,_readyState),__privateAdd2(
+this,_url),__privateAdd2(this,_redirectUrl),__privateAdd2(this,_withCredentials),__privateAdd2(this,_fetch),__privateAdd2(this,_reconnectInterval),__privateAdd2(this,_reconnectTimer),__privateAdd2(this,_lastEventId,null),__privateAdd2(this,_controller),__privateAdd2(this,_parser),__privateAdd2(this,_onError,null),__privateAdd2(this,_onMessage,null),__privateAdd2(this,_onOpen,null),__privateAdd2(this,_onFetchResponse,async response=>{var _a22;__privateGet2(this,_parser).reset();const{body:body2,redirected,
+status,headers}=response;if(status===204){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(this,"Server sent HTTP 204, not reconnecting",204),this.close();return}if(redirected?__privateSet2(this,_redirectUrl,new URL(response.url)):__privateSet2(this,_redirectUrl,void 0),status!==200){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(this,`Non-200 status code (${status})`,status);return}if(!(headers.get("content-type")||"").startsWith("text/event-stream")){__privateMethod2(
+this,_EventSource_instances,failConnection_fn).call(this,'Invalid content type, expected "text/event-stream"',status);return}if(__privateGet2(this,_readyState)===this.CLOSED)return;__privateSet2(this,_readyState,this.OPEN);const openEvent=new Event("open");if((_a22=__privateGet2(this,_onOpen))==null||_a22.call(this,openEvent),this.dispatchEvent(openEvent),typeof body2!="object"||!body2||!("getReader"in body2)){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(this,"Invalid res\
+ponse body, expected a web ReadableStream",status),this.close();return}const decoder=new TextDecoder,reader=body2.getReader();let open2=!0;do{const{done,value}=await reader.read();value&&__privateGet2(this,_parser).feed(decoder.decode(value,{stream:!done})),done&&(open2=!1,__privateGet2(this,_parser).reset(),__privateMethod2(this,_EventSource_instances,scheduleReconnect_fn).call(this))}while(open2)}),__privateAdd2(this,_onFetchError,err=>{__privateSet2(this,_controller,void 0),!(err.name==="Abor\
+tError"||err.type==="aborted")&&__privateMethod2(this,_EventSource_instances,scheduleReconnect_fn).call(this,flattenError(err))}),__privateAdd2(this,_onEvent,event2=>{typeof event2.id=="string"&&__privateSet2(this,_lastEventId,event2.id);const messageEvent=new MessageEvent(event2.event||"message",{data:event2.data,origin:__privateGet2(this,_redirectUrl)?__privateGet2(this,_redirectUrl).origin:__privateGet2(this,_url).origin,lastEventId:event2.id||""});__privateGet2(this,_onMessage)&&(!event2.event||
+event2.event==="message")&&__privateGet2(this,_onMessage).call(this,messageEvent),this.dispatchEvent(messageEvent)}),__privateAdd2(this,_onRetryChange,value=>{__privateSet2(this,_reconnectInterval,value)}),__privateAdd2(this,_reconnect,()=>{__privateSet2(this,_reconnectTimer,void 0),__privateGet2(this,_readyState)===this.CONNECTING&&__privateMethod2(this,_EventSource_instances,connect_fn).call(this)});try{if(url2 instanceof URL)__privateSet2(this,_url,url2);else if(typeof url2=="string")__privateSet2(
+this,_url,new URL(url2,getBaseURL()));else throw new Error("Invalid URL")}catch{throw syntaxError("An invalid or illegal string was specified")}__privateSet2(this,_parser,createParser$1({onEvent:__privateGet2(this,_onEvent),onRetry:__privateGet2(this,_onRetryChange)})),__privateSet2(this,_readyState,this.CONNECTING),__privateSet2(this,_reconnectInterval,3e3),__privateSet2(this,_fetch,(_a2=eventSourceInitDict?.fetch)!=null?_a2:globalThis.fetch),__privateSet2(this,_withCredentials,(_b=eventSourceInitDict?.
+withCredentials)!=null?_b:!1),__privateMethod2(this,_EventSource_instances,connect_fn).call(this)}get readyState(){return __privateGet2(this,_readyState)}get url(){return __privateGet2(this,_url).href}get withCredentials(){return __privateGet2(this,_withCredentials)}get onerror(){return __privateGet2(this,_onError)}set onerror(value){__privateSet2(this,_onError,value)}get onmessage(){return __privateGet2(this,_onMessage)}set onmessage(value){__privateSet2(this,_onMessage,value)}get onopen(){return __privateGet2(
+this,_onOpen)}set onopen(value){__privateSet2(this,_onOpen,value)}addEventListener(type2,listener,options){const listen2=listener;super.addEventListener(type2,listen2,options)}removeEventListener(type2,listener,options){const listen2=listener;super.removeEventListener(type2,listen2,options)}close(){__privateGet2(this,_reconnectTimer)&&clearTimeout(__privateGet2(this,_reconnectTimer)),__privateGet2(this,_readyState)!==this.CLOSED&&(__privateGet2(this,_controller)&&__privateGet2(this,_controller).
+abort(),__privateSet2(this,_readyState,this.CLOSED),__privateSet2(this,_controller,void 0))}}_readyState=new WeakMap,_url=new WeakMap,_redirectUrl=new WeakMap,_withCredentials=new WeakMap,_fetch=new WeakMap,_reconnectInterval=new WeakMap,_reconnectTimer=new WeakMap,_lastEventId=new WeakMap,_controller=new WeakMap,_parser=new WeakMap,_onError=new WeakMap,_onMessage=new WeakMap,_onOpen=new WeakMap,_EventSource_instances=new WeakSet,connect_fn=function(){__privateSet2(this,_readyState,this.CONNECTING),
+__privateSet2(this,_controller,new AbortController),__privateGet2(this,_fetch)(__privateGet2(this,_url),__privateMethod2(this,_EventSource_instances,getRequestOptions_fn).call(this)).then(__privateGet2(this,_onFetchResponse)).catch(__privateGet2(this,_onFetchError))},_onFetchResponse=new WeakMap,_onFetchError=new WeakMap,getRequestOptions_fn=function(){var _a2;const init2={mode:"cors",redirect:"follow",headers:{Accept:"text/event-stream",...__privateGet2(this,_lastEventId)?{"Last-Event-ID":__privateGet2(
+this,_lastEventId)}:void 0},cache:"no-store",signal:(_a2=__privateGet2(this,_controller))==null?void 0:_a2.signal};return"window"in globalThis&&(init2.credentials=this.withCredentials?"include":"same-origin"),init2},_onEvent=new WeakMap,_onRetryChange=new WeakMap,failConnection_fn=function(message,code2){var _a2;__privateGet2(this,_readyState)!==this.CLOSED&&__privateSet2(this,_readyState,this.CLOSED);const errorEvent=new ErrorEvent("error",{code:code2,message});(_a2=__privateGet2(this,_onError))==
+null||_a2.call(this,errorEvent),this.dispatchEvent(errorEvent)},scheduleReconnect_fn=function(message,code2){var _a2;if(__privateGet2(this,_readyState)===this.CLOSED)return;__privateSet2(this,_readyState,this.CONNECTING);const errorEvent=new ErrorEvent("error",{code:code2,message});(_a2=__privateGet2(this,_onError))==null||_a2.call(this,errorEvent),this.dispatchEvent(errorEvent),__privateSet2(this,_reconnectTimer,setTimeout(__privateGet2(this,_reconnect),__privateGet2(this,_reconnectInterval)))},
+_reconnect=new WeakMap,EventSource.CONNECTING=0,EventSource.OPEN=1,EventSource.CLOSED=2;function getBaseURL(){const doc="document"in globalThis?globalThis.document:void 0;return doc&&typeof doc=="object"&&"baseURI"in doc&&typeof doc.baseURI=="string"?doc.baseURI:void 0}class SseError extends Error{constructor(code2,message,event2){super(`SSE error: ${message}`),this.code=code2,this.event=event2}}class SSEClientTransport{constructor(url2,opts){this._url=url2,this._resourceMetadataUrl=void 0,this.
+_scope=void 0,this._eventSourceInit=opts?.eventSourceInit,this._requestInit=opts?.requestInit,this._authProvider=opts?.authProvider,this._fetch=opts?.fetch,this._fetchWithInit=createFetchWithInit(opts?.fetch,opts?.requestInit)}async _authThenStart(){if(!this._authProvider)throw new UnauthorizedError("No auth provider");let result;try{result=await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})}catch(error2){
+throw this.onerror?.(error2),error2}if(result!=="AUTHORIZED")throw new UnauthorizedError;return await this._startOrAuth()}async _commonHeaders(){const headers={};if(this._authProvider){const tokens=await this._authProvider.tokens();tokens&&(headers.Authorization=`Bearer ${tokens.access_token}`)}this._protocolVersion&&(headers["mcp-protocol-version"]=this._protocolVersion);const extraHeaders=normalizeHeaders(this._requestInit?.headers);return new Headers({...headers,...extraHeaders})}_startOrAuth(){
+const fetchImpl=this?._eventSourceInit?.fetch??this._fetch??fetch;return new Promise((resolve2,reject)=>{this._eventSource=new EventSource(this._url.href,{...this._eventSourceInit,fetch:async(url2,init2)=>{const headers=await this._commonHeaders();headers.set("Accept","text/event-stream");const response=await fetchImpl(url2,{...init2,headers});if(response.status===401&&response.headers.has("www-authenticate")){const{resourceMetadataUrl,scope:scope2}=extractWWWAuthenticateParams(response);this._resourceMetadataUrl=
+resourceMetadataUrl,this._scope=scope2}return response}}),this._abortController=new AbortController,this._eventSource.onerror=event2=>{if(event2.code===401&&this._authProvider){this._authThenStart().then(resolve2,reject);return}const error2=new SseError(event2.code,event2.message,event2);reject(error2),this.onerror?.(error2)},this._eventSource.onopen=()=>{},this._eventSource.addEventListener("endpoint",event2=>{const messageEvent=event2;try{if(this._endpoint=new URL(messageEvent.data,this._url),
+this._endpoint.origin!==this._url.origin)throw new Error(`Endpoint origin does not match connection origin: ${this._endpoint.origin}`)}catch(error2){reject(error2),this.onerror?.(error2),this.close();return}resolve2()}),this._eventSource.onmessage=event2=>{const messageEvent=event2;let message;try{message=JSONRPCMessageSchema.parse(JSON.parse(messageEvent.data))}catch(error2){this.onerror?.(error2);return}this.onmessage?.(message)}})}async start(){if(this._eventSource)throw new Error("SSEClientT\
+ransport already started! If using Client class, note that connect() calls start() automatically.");return await this._startOrAuth()}async finishAuth(authorizationCode){if(!this._authProvider)throw new UnauthorizedError("No auth provider");if(await auth(this._authProvider,{serverUrl:this._url,authorizationCode,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError("Failed to authorize")}async close(){this._abortController?.
+abort(),this._eventSource?.close(),this.onclose?.()}async send(message){if(!this._endpoint)throw new Error("Not connected");try{const headers=await this._commonHeaders();headers.set("content-type","application/json");const init2={...this._requestInit,method:"POST",headers,body:JSON.stringify(message),signal:this._abortController?.signal},response=await(this._fetch??fetch)(this._endpoint,init2);if(!response.ok){const text2=await response.text().catch(()=>null);if(response.status===401&&this._authProvider){
+const{resourceMetadataUrl,scope:scope2}=extractWWWAuthenticateParams(response);if(this._resourceMetadataUrl=resourceMetadataUrl,this._scope=scope2,await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError;return this.send(message)}throw new Error(`Error POSTing to endpoint (HTTP ${response.status}): ${text2}`)}await response.body?.cancel()}catch(error2){throw this.onerror?.(
+error2),error2}}setProtocolVersion(version2){this._protocolVersion=version2}}const SUBPROTOCOL="mcp";class WebSocketClientTransport{constructor(url2){this._url=url2}start(){if(this._socket)throw new Error("WebSocketClientTransport already started! If using Client class, note that connect() calls start() automatically.");return new Promise((resolve2,reject)=>{this._socket=new WebSocket(this._url,SUBPROTOCOL),this._socket.onerror=event2=>{const error2="error"in event2?event2.error:new Error(`WebSo\
+cket error: ${JSON.stringify(event2)}`);reject(error2),this.onerror?.(error2)},this._socket.onopen=()=>{resolve2()},this._socket.onclose=()=>{this.onclose?.()},this._socket.onmessage=event2=>{let message;try{message=JSONRPCMessageSchema.parse(JSON.parse(event2.data))}catch(error2){this.onerror?.(error2);return}this.onmessage?.(message)}})}async close(){this._socket?.close()}send(message){return new Promise((resolve2,reject)=>{if(!this._socket){reject(new Error("Not connected"));return}this._socket?.
+send(JSON.stringify(message)),resolve2()})}}class MCPService{static createLog(phase,message,level=MCPLogLevel.INFO,details){return{timestamp:new Date,phase,message,level,details}}static createDiagnosticRequestDetails(input,init2,baseInit,requestHeaders,extraRedactedHeaders){const body2=getRequestBody(input,init2),details={url:getRequestUrl(input),method:getRequestMethod(input,init2,baseInit).toUpperCase(),credentials:init2?.credentials??baseInit.credentials,mode:init2?.mode??baseInit.mode,headers:sanitizeHeaders(
+requestHeaders,extraRedactedHeaders,MCP_PARTIAL_REDACT_HEADERS),body:summarizeRequestBody(body2)},jsonRpcMethods=extractJsonRpcMethods(body2);return jsonRpcMethods&&(details.jsonRpcMethods=jsonRpcMethods),details}static summarizeError(error2){return error2 instanceof Error?{name:error2.name,message:error2.message,cause:error2.cause instanceof Error?{name:error2.cause.name,message:error2.cause.message}:error2.cause,stack:error2.stack?.split(`
+`).slice(0,6).join(`
+`)}:{value:String(error2)}}static getBrowserContext(targetUrl,useProxy){if(!(typeof window>"u"))return{location:window.location.href,origin:window.location.origin,protocol:window.location.protocol,isSecureContext:window.isSecureContext,targetOrigin:targetUrl.origin,targetProtocol:targetUrl.protocol,sameOrigin:window.location.origin===targetUrl.origin,useProxy}}static getConnectionHints(targetUrl,config2,error2){const hints=[],message=error2 instanceof Error?error2.message:String(error2),headerNames=Object.
+keys(config2.headers??{});return typeof window<"u"&&(window.location.protocol==="https:"&&targetUrl.protocol==="http:"&&!config2.useProxy&&hints.push("The page is running over HTTPS but the MCP server is HTTP. Browsers often block this as mixed content; enable the proxy or use HTTPS/WSS for the MCP server."),window.location.origin!==targetUrl.origin&&!config2.useProxy&&hints.push("This is a cross-origin browser request. If the server is reachable from curl or Node but not from the browser, missi\
+ng CORS headers are the most likely cause.")),headerNames.length>0&&hints.push(`Custom request headers are configured (${headerNames.join(", ")}). That triggers a CORS preflight, so the server must allow OPTIONS and include the matching Access-Control-Allow-Headers response.`),config2.credentials&&config2.credentials!=="omit"&&hints.push("Credentials are enabled for this connection. Cross-origin credentialed requests need Access-Control-Allow-Credentials: true and cannot use a wildcard Access-Co\
+ntrol-Allow-Origin."),message.includes("Failed to fetch")&&hints.push('"Failed to fetch" is a browser-level network failure. Common causes are CORS rejection, mixed-content blocking, certificate/TLS errors, DNS failures, or nothing listening on the target port.'),hints}static createDiagnosticFetch(serverName,config2,baseInit,targetUrl,useProxy,onLog){let enabled=!0;const logIfEnabled=log=>{enabled&&onLog?.(log)};return{fetch:async(input,init2)=>{const startedAt=performance.now(),requestHeaders=new Headers(
+baseInit.headers);if(typeof Request<"u"&&input instanceof Request)for(const[key2,value]of input.headers.entries())requestHeaders.set(key2,value);if(init2?.headers)for(const[key2,value]of new Headers(init2.headers).entries())requestHeaders.set(key2,value);const request=this.createDiagnosticRequestDetails(input,init2,baseInit,requestHeaders,Object.keys(config2.headers??{})),{method,url:url2}=request;logIfEnabled(this.createLog(MCPConnectionPhase.INITIALIZING,`HTTP ${method} ${url2}`,MCPLogLevel.INFO,
+{serverName,request}));try{const response=await fetch(input,{...baseInit,...init2,headers:requestHeaders}),durationMs=Math.round(performance.now()-startedAt);return logIfEnabled(this.createLog(MCPConnectionPhase.INITIALIZING,`HTTP ${response.status} ${method} ${url2} (${durationMs}ms)`,response.ok?MCPLogLevel.INFO:MCPLogLevel.WARN,{response:{url:url2,status:response.status,statusText:response.statusText,headers:sanitizeHeaders(response.headers,void 0,MCP_PARTIAL_REDACT_HEADERS),durationMs}})),response}catch(error2){
+const durationMs=Math.round(performance.now()-startedAt);throw logIfEnabled(this.createLog(MCPConnectionPhase.ERROR,`HTTP ${method} ${url2} failed: ${formatDiagnosticErrorMessage(error2)}`,MCPLogLevel.ERROR,{serverName,request,error:this.summarizeError(error2),browser:this.getBrowserContext(targetUrl,useProxy),hints:this.getConnectionHints(targetUrl,config2,error2),durationMs})),error2}},disable:()=>{enabled=!1}}}static isSessionExpiredError(error2){return error2 instanceof StreamableHTTPError&&
+error2.code===404}static createTransport(serverName,config2,onLog){if(!config2.url)throw new Error("MCP server configuration is missing url");const useProxy=config2.useProxy??!1,requestInit={};if(config2.headers&&(requestInit.headers=config2.useProxy?buildProxiedHeaders(config2.headers):config2.headers),useProxy&&(requestInit.headers={...getAuthHeaders(),...requestInit.headers}),config2.credentials&&(requestInit.credentials=config2.credentials),config2.transport===MCPTransportType.WEBSOCKET){if(useProxy)
+throw new Error("WebSocket transport is not supported when using CORS proxy. Use HTTP transport instead.");const url22=new URL(config2.url);return{transport:new WebSocketClientTransport(url22),type:MCPTransportType.WEBSOCKET,stopPhaseLogging:()=>{}}}const url2=useProxy?buildProxiedUrl(config2.url):new URL(config2.url),{fetch:diagnosticFetch,disable:stopPhaseLogging}=this.createDiagnosticFetch(serverName,config2,requestInit,url2,useProxy,onLog);try{return{transport:new StreamableHTTPClientTransport(
+url2,{requestInit,fetch:diagnosticFetch}),type:MCPTransportType.STREAMABLE_HTTP,stopPhaseLogging}}catch(httpError){console.warn("[MCPService] StreamableHTTP failed, trying SSE transport...",httpError);try{return{transport:new SSEClientTransport(url2,{requestInit,fetch:diagnosticFetch,eventSourceInit:{fetch:diagnosticFetch}}),type:MCPTransportType.SSE,stopPhaseLogging}}catch(sseError){const httpMsg=httpError instanceof Error?httpError.message:String(httpError),sseMsg=sseError instanceof Error?sseError.
+message:String(sseError);throw new Error(`Failed to create transport. StreamableHTTP: ${httpMsg}; SSE: ${sseMsg}`)}}}static extractServerInfo(impl){if(impl)return{name:impl.name,version:impl.version,title:impl.title,description:impl.description,websiteUrl:impl.websiteUrl,icons:impl.icons?.map(icon=>({src:icon.src,mimeType:icon.mimeType,sizes:icon.sizes}))}}static async connect(serverName,serverConfig,clientInfo,capabilities,onPhase,listChangedHandlers){const startTime=performance.now(),effectiveClientInfo=clientInfo??
+DEFAULT_MCP_CONFIG.clientInfo,effectiveCapabilities=capabilities??DEFAULT_MCP_CONFIG.capabilities;onPhase?.(MCPConnectionPhase.TRANSPORT_CREATING,this.createLog(MCPConnectionPhase.TRANSPORT_CREATING,`Creating transport for ${serverConfig.url}`));const{transport,type:transportType,stopPhaseLogging}=this.createTransport(serverName,serverConfig,log=>onPhase?.(log.phase,log));transportType===MCPTransportType.WEBSOCKET&&(transport.onclose=()=>{console.log(`[MCPService][${serverName}] WebSocket closed\
+, notifying for reconnection`),onPhase?.(MCPConnectionPhase.DISCONNECTED,this.createLog(MCPConnectionPhase.DISCONNECTED,"WebSocket connection closed"))}),onPhase?.(MCPConnectionPhase.TRANSPORT_READY,this.createLog(MCPConnectionPhase.TRANSPORT_READY,`Transport ready (${transportType})`),{transportType});const client=new Client({name:effectiveClientInfo.name,version:effectiveClientInfo.version??DEFAULT_CLIENT_VERSION},{capabilities:effectiveCapabilities,listChanged:listChangedHandlers}),runtimeErrorHandler=error2=>{
+console.error(`[MCPService][${serverName}] Protocol error after initialize:`,error2)};client.onerror=error2=>{onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Protocol error: ${error2.message}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2)}))},onPhase?.(MCPConnectionPhase.INITIALIZING,this.createLog(MCPConnectionPhase.INITIALIZING,"Sending initialize request...")),console.log(`[MCPService][${serverName}] Connecting to server...`);try{await client.connect(transport),
+stopPhaseLogging(),client.onerror=runtimeErrorHandler}catch(error2){client.onerror=runtimeErrorHandler;const url2=serverConfig.useProxy??!1?buildProxiedUrl(serverConfig.url):new URL(serverConfig.url);throw onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Connection failed during initialize: ${error2 instanceof Error?error2.message:String(error2)}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2),config:{serverName,configuredUrl:serverConfig.url,effectiveUrl:url2.href,
+transportType,useProxy:serverConfig.useProxy??!1,headers:sanitizeHeaders(serverConfig.headers,Object.keys(serverConfig.headers??{}),MCP_PARTIAL_REDACT_HEADERS),credentials:serverConfig.credentials},browser:this.getBrowserContext(url2,serverConfig.useProxy??!1),hints:this.getConnectionHints(url2,serverConfig,error2)})),error2}const serverVersion=client.getServerVersion(),serverCapabilities=client.getServerCapabilities(),instructions=client.getInstructions(),serverInfo=this.extractServerInfo(serverVersion);
+onPhase?.(MCPConnectionPhase.CAPABILITIES_EXCHANGED,this.createLog(MCPConnectionPhase.CAPABILITIES_EXCHANGED,"Capabilities exchanged successfully",MCPLogLevel.INFO,{serverCapabilities,serverInfo}),{serverInfo,serverCapabilities,clientCapabilities:effectiveCapabilities,instructions}),onPhase?.(MCPConnectionPhase.LISTING_TOOLS,this.createLog(MCPConnectionPhase.LISTING_TOOLS,"Listing available tools...")),console.log(`[MCPService][${serverName}] Connected, listing tools...`);const tools=await this.
+listTools({client,transport,tools:[],serverName,transportType,connectionTimeMs:0}),connectionTimeMs=Math.round(performance.now()-startTime);return onPhase?.(MCPConnectionPhase.CONNECTED,this.createLog(MCPConnectionPhase.CONNECTED,`Connection established with ${tools.length} tools (${connectionTimeMs}ms)`)),console.log(`[MCPService][${serverName}] Initialization complete with ${tools.length} tools in ${connectionTimeMs}ms`),{client,transport,tools,serverName,transportType,serverInfo,serverCapabilities,
+clientCapabilities:effectiveCapabilities,protocolVersion:DEFAULT_MCP_CONFIG.protocolVersion,instructions,connectionTimeMs}}static async disconnect(connection){console.log(`[MCPService][${connection.serverName}] Disconnecting...`);try{connection.transport.onclose&&(connection.transport.onclose=void 0),await connection.client.close()}catch(error2){console.warn(`[MCPService][${connection.serverName}] Error during disconnect:`,error2)}}static async listTools(connection){try{return(await connection.client.
+listTools()).tools??[]}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list tools:`,error2),[]}}static async listPrompts(connection){try{return(await connection.client.listPrompts()).prompts??[]}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list prompts:`,error2),[]}}static async getPrompt(connection,name,args){try{return await connection.
+client.getPrompt({name,arguments:args})}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to get prompt:`,error2),error2}}static async callTool(connection,params,signal){throwIfAborted(signal);try{const result=await connection.client.callTool({name:params.name,arguments:params.arguments},void 0,{signal});return{content:this.formatToolResult(result),isError:result.isError??!1}}catch(error2){if(isAbortError(error2)||this.isSessionExpiredError(error2))throw error2;const message=error2 instanceof
+Error?error2.message:String(error2);throw new Error(`Tool "${params.name}" execution failed on server "${connection.serverName}": ${message}`,{cause:error2 instanceof Error?error2:void 0})}}static formatToolResult(result){const content2=result.content;return Array.isArray(content2)?content2.map(item=>this.formatSingleContent(item)).filter(Boolean).join(`
+`):""}static formatSingleContent(content2){if(content2.type===MCPContentType.TEXT&&content2.text)return content2.text;if(content2.type===MCPContentType.IMAGE&&content2.data)return createBase64DataUrl(content2.mimeType??DEFAULT_IMAGE_MIME_TYPE,content2.data);if(content2.type===MCPContentType.RESOURCE&&content2.resource){const resource=content2.resource;return resource.text?resource.text:resource.blob?resource.blob:JSON.stringify(resource)}return content2.data&&content2.mimeType?createBase64DataUrl(
+content2.mimeType,content2.data):JSON.stringify(content2)}static async complete(connection,ref2,argument){try{return(await connection.client.complete({ref:ref2,argument})).completion}catch(error2){return console.error("[MCPService] Failed to get completions:",error2),null}}static async listResources(connection,cursor){try{const result=await connection.client.listResources(cursor?{cursor}:void 0);return{resources:result.resources??[],nextCursor:result.nextCursor}}catch(error2){if(this.isSessionExpiredError(
+error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list resources:`,error2),{resources:[]}}}static async listAllResources(connection){const allResources=[];let cursor;do{const result=await this.listResources(connection,cursor);allResources.push(...result.resources),cursor=result.nextCursor}while(cursor);return allResources}static async listResourceTemplates(connection,cursor){try{const result=await connection.client.listResourceTemplates(cursor?{cursor}:void 0);
+return{resourceTemplates:result.resourceTemplates??[],nextCursor:result.nextCursor}}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list resource templates:`,error2),{resourceTemplates:[]}}}static async listAllResourceTemplates(connection){const allTemplates=[];let cursor;do{const result=await this.listResourceTemplates(connection,cursor);allTemplates.push(...result.resourceTemplates),cursor=result.nextCursor}while(cursor);
+return allTemplates}static async readResource(connection,uri2){try{const result=await connection.client.readResource({uri:uri2});return{contents:result.contents??[],_meta:result._meta}}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to read resource:`,error2),error2}}static async subscribeResource(connection,uri2){try{await connection.client.subscribeResource({uri:uri2}),console.log(`[MCPService][${connection.serverName}] Subscribed to resource: ${uri2}`)}catch(error2){
+throw console.error(`[MCPService][${connection.serverName}] Failed to subscribe to resource:`,error2),error2}}static async unsubscribeResource(connection,uri2){try{await connection.client.unsubscribeResource({uri:uri2}),console.log(`[MCPService][${connection.serverName}] Unsubscribed from resource: ${uri2}`)}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to unsubscribe from resource:`,error2),error2}}static supportsResources(connection){return connection.serverCapabilities?.
+resources!==void 0}static supportsResourceSubscriptions(connection){return!!connection.serverCapabilities?.resources?.subscribe}}function generateAttachmentId(){return`${MCP_RESOURCE_ATTACHMENT_ID_PREFIX}-${Date.now()}-${Math.random().toString(36).substring(2,9)}`}class MCPResourceStore{#_serverResources=state$1(proxy(new SvelteMap));get _serverResources(){return get$4(this.#_serverResources)}set _serverResources(value){set$1(this.#_serverResources,value,!0)}#_cachedResources=state$1(proxy(new SvelteMap));get _cachedResources(){
+return get$4(this.#_cachedResources)}set _cachedResources(value){set$1(this.#_cachedResources,value,!0)}#_subscriptions=state$1(proxy(new SvelteMap));get _subscriptions(){return get$4(this.#_subscriptions)}set _subscriptions(value){set$1(this.#_subscriptions,value,!0)}#_attachments=state$1(proxy([]));get _attachments(){return get$4(this.#_attachments)}set _attachments(value){set$1(this.#_attachments,value,!0)}#_isLoading=state$1(!1);get _isLoading(){return get$4(this.#_isLoading)}set _isLoading(value){
+set$1(this.#_isLoading,value,!0)}get serverResources(){return this._serverResources}get cachedResources(){return this._cachedResources}get subscriptions(){return this._subscriptions}get attachments(){return this._attachments}get isLoading(){return this._isLoading}get totalResourceCount(){let count=0;for(const serverRes of this._serverResources.values())count+=serverRes.resources.length;return count}get totalTemplateCount(){let count=0;for(const serverRes of this._serverResources.values())count+=
+serverRes.templates.length;return count}get attachmentCount(){return this._attachments.length}get hasAttachments(){return this._attachments.length>0}setServerResources(serverName,resources,templates){this._serverResources.set(serverName,{serverName,resources,templates,lastFetched:new Date,loading:!1,error:void 0}),console.log(`[MCPResources][${serverName}] Set ${resources.length} resources, ${templates.length} templates`)}setServerLoading(serverName,loading){const existing=this._serverResources.
+get(serverName);existing?this._serverResources.set(serverName,{...existing,loading}):this._serverResources.set(serverName,{serverName,resources:[],templates:[],loading,error:void 0})}setServerError(serverName,error2){const existing=this._serverResources.get(serverName);existing?this._serverResources.set(serverName,{...existing,loading:!1,error:error2}):this._serverResources.set(serverName,{serverName,resources:[],templates:[],loading:!1,error:error2})}getServerResources(serverName){return this._serverResources.
+get(serverName)}getAllResourceInfos(){const result=[];for(const[serverName,serverRes]of this._serverResources)for(const resource of serverRes.resources)result.push({uri:resource.uri,name:resource.name,title:resource.title,description:resource.description,mimeType:resource.mimeType,serverName,annotations:resource.annotations,icons:resource.icons});return result}getAllTemplateInfos(){const result=[];for(const[serverName,serverRes]of this._serverResources)for(const template of serverRes.templates)result.
+push({uriTemplate:template.uriTemplate,name:template.name,title:template.title,description:template.description,mimeType:template.mimeType,serverName,annotations:template.annotations,icons:template.icons});return result}clearServerResources(serverName){this._serverResources.delete(serverName);for(const[uri2,cached2]of this._cachedResources)cached2.resource.serverName===serverName&&this._cachedResources.delete(uri2);for(const[uri2,sub2]of this._subscriptions)sub2.serverName===serverName&&this._subscriptions.
+delete(uri2);console.log(`[MCPResources][${serverName}] Cleared all resources`)}cacheResourceContent(resource,content2){if(this._cachedResources.size>=MCP_RESOURCE_CACHE_MAX_ENTRIES){const oldestKey=this._cachedResources.keys().next().value;oldestKey&&this._cachedResources.delete(oldestKey)}this._cachedResources.set(resource.uri,{resource,content:content2,fetchedAt:new Date,subscribed:this._subscriptions.has(resource.uri)}),console.log(`[MCPResources] Cached content for: ${resource.uri}`)}getCachedContent(uri2){
+const cached2=this._cachedResources.get(uri2);if(!cached2)return;if(Date.now()-cached2.fetchedAt.getTime()>MCP_RESOURCE_CACHE_TTL_MS&&!cached2.subscribed){this._cachedResources.delete(uri2);return}return cached2}invalidateCache(uri2){this._cachedResources.delete(uri2),console.log(`[MCPResources] Invalidated cache for: ${uri2}`)}clearCache(){this._cachedResources.clear(),console.log("[MCPResources] Cleared all cached content")}addSubscription(uri2,serverName){this._subscriptions.set(uri2,{uri:uri2,
+serverName,subscribedAt:new Date});const cached2=this._cachedResources.get(uri2);cached2&&this._cachedResources.set(uri2,{...cached2,subscribed:!0}),console.log(`[MCPResources] Added subscription: ${uri2}`)}removeSubscription(uri2){this._subscriptions.delete(uri2);const cached2=this._cachedResources.get(uri2);cached2&&this._cachedResources.set(uri2,{...cached2,subscribed:!1}),console.log(`[MCPResources] Removed subscription: ${uri2}`)}isSubscribed(uri2){return this._subscriptions.has(uri2)}handleResourceUpdate(uri2){
+this.invalidateCache(uri2);const sub2=this._subscriptions.get(uri2);sub2&&this._subscriptions.set(uri2,{...sub2,lastUpdate:new Date}),console.log(`[MCPResources] Resource updated: ${uri2}`)}handleResourcesListChanged(serverName){const existing=this._serverResources.get(serverName);existing&&this._serverResources.set(serverName,{...existing,lastFetched:void 0}),console.log(`[MCPResources][${serverName}] Resources list changed, needs refresh`)}addAttachment(resource){const attachment={id:generateAttachmentId(),
+resource,loading:!0};return this._attachments=[...this._attachments,attachment],console.log(`[MCPResources] Added attachment: ${resource.uri}`),attachment}updateAttachmentContent(attachmentId,content2){this._attachments=this._attachments.map(att=>att.id===attachmentId?{...att,content:content2,loading:!1,error:void 0}:att)}updateAttachmentError(attachmentId,error2){this._attachments=this._attachments.map(att=>att.id===attachmentId?{...att,loading:!1,error:error2}:att)}removeAttachment(attachmentId){
+this._attachments=this._attachments.filter(att=>att.id!==attachmentId),console.log(`[MCPResources] Removed attachment: ${attachmentId}`)}clearAttachments(){this._attachments=[],console.log("[MCPResources] Cleared all attachments")}getAttachment(attachmentId){return this._attachments.find(att=>att.id===attachmentId)}isAttached(uri2){const normalizedUri=normalizeResourceUri(uri2);return this._attachments.some(att=>att.resource.uri===uri2||normalizeResourceUri(att.resource.uri)===normalizedUri)}setLoading(loading){
+this._isLoading=loading}findResourceByUri(uri2){const normalizedUri=normalizeResourceUri(uri2);for(const[serverName,serverRes]of this._serverResources){const resource=serverRes.resources.find(r2=>r2.uri===uri2)??serverRes.resources.find(r2=>normalizeResourceUri(r2.uri)===normalizedUri);if(resource)return{uri:resource.uri,name:resource.name,title:resource.title,description:resource.description,mimeType:resource.mimeType,serverName,annotations:resource.annotations,icons:resource.icons}}}findServerForUri(uri2){
+for(const[serverName,serverRes]of this._serverResources)if(serverRes.resources.some(r2=>r2.uri===uri2))return serverName}clear(){this._serverResources.clear(),this._cachedResources.clear(),this._subscriptions.clear(),this._attachments=[],this._isLoading=!1,console.log("[MCPResources] Cleared all state")}formatAttachmentsForContext(){if(this._attachments.length===0)return"";const parts=[];for(const attachment of this._attachments){if(attachment.error||!attachment.content||attachment.content.length===
+0)continue;const resourceName=attachment.resource.title||attachment.resource.name,serverName=attachment.resource.serverName;for(const content2 of attachment.content)"text"in content2&&content2.text?parts.push(`
+
+--- Resource: ${resourceName} (from ${serverName}) ---
+${content2.text}`):"blob"in content2&&content2.blob&&parts.push(`
+
+--- Resource: ${resourceName} (from ${serverName}) ---
+[${BINARY_CONTENT_LABEL}: ${content2.mimeType||RESOURCE_UNKNOWN_TYPE}]`)}return parts.join("")}toMessageExtras(){const extras=[];for(const attachment of this._attachments){if(attachment.error||!attachment.content||attachment.content.length===0)continue;const resourceName=attachment.resource.title||attachment.resource.name,contentParts=[];for(const content2 of attachment.content)"text"in content2&&content2.text?contentParts.push(content2.text):"blob"in content2&&content2.blob&&contentParts.push(`\
+[${BINARY_CONTENT_LABEL}: ${content2.mimeType||RESOURCE_UNKNOWN_TYPE}]`);contentParts.length>0&&extras.push({type:AttachmentType.MCP_RESOURCE,name:resourceName,uri:attachment.resource.uri,serverName:attachment.resource.serverName,content:contentParts.join(NEWLINE_SEPARATOR),mimeType:attachment.resource.mimeType})}return extras}}const mcpResourceStore=new MCPResourceStore,mcpResources=()=>mcpResourceStore.serverResources,mcpResourceAttachments=()=>mcpResourceStore.attachments,mcpHasResourceAttachments=()=>mcpResourceStore.
+hasAttachments,mcpTotalResourceCount=()=>mcpResourceStore.totalResourceCount,mcpResourcesLoading=()=>mcpResourceStore.isLoading,defaultWindow$1=typeof window<"u"?window:void 0;function getActiveElement$1(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}let ActiveElement$1=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$1,
+document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$1(this.#document):null}};new ActiveElement$1;function runEffect(flush,effect2){switch(flush){case"post":user_effect(effect2);break;case"pre":user_pre_effect(
+effect2);break}}function runWatcher(sources,flush,effect2,options={}){const{lazy=!1}=options;let active=!lazy,previousValues=Array.isArray(sources)?[]:void 0;runEffect(flush,()=>{const values=Array.isArray(sources)?sources.map(source2=>source2()):sources();if(!active){active=!0,previousValues=values;return}const cleanup=untrack$1(()=>effect2(values,previousValues));return previousValues=values,cleanup})}function watch(sources,effect2,options){runWatcher(sources,"post",effect2,options)}function watchPre(sources,effect2,options){
+runWatcher(sources,"pre",effect2,options)}watch.pre=watchPre;function getStorage(storageType,window2){switch(storageType){case"local":return window2.localStorage;case"session":return window2.sessionStorage}}class PersistedState{#current;#key;#serializer;#storage;#subscribe;#version=state$1(0);constructor(key2,initialValue,options={}){const{storage:storageType="local",serializer:serializer2={serialize:JSON.stringify,deserialize:JSON.parse},syncTabs=!0,window:window2=defaultWindow$1}=options;if(this.#current=
+initialValue,this.#key=key2,this.#serializer=serializer2,window2===void 0)return;const storage=getStorage(storageType,window2);this.#storage=storage;const existingValue=storage.getItem(key2);existingValue!==null?this.#current=this.#deserialize(existingValue):this.#serialize(initialValue),syncTabs&&storageType==="local"&&(this.#subscribe=createSubscriber(()=>on(window2,"storage",this.#handleStorageEvent)))}get current(){this.#subscribe?.(),get$4(this.#version);const root2=this.#deserialize(this.#storage?.
+getItem(this.#key))??this.#current,proxies=new WeakMap,proxy2=value=>{if(value===null||value?.constructor.name==="Date"||typeof value!="object")return value;let p2=proxies.get(value);return p2||(p2=new Proxy(value,{get:(target2,property)=>(get$4(this.#version),proxy2(Reflect.get(target2,property))),set:(target2,property,value2)=>(set$1(this.#version,get$4(this.#version)+1),Reflect.set(target2,property,value2),this.#serialize(root2),!0)}),proxies.set(value,p2)),p2};return proxy2(root2)}set current(newValue){
+this.#serialize(newValue),set$1(this.#version,get$4(this.#version)+1)}#handleStorageEvent=event2=>{event2.key!==this.#key||event2.newValue===null||(this.#current=this.#deserialize(event2.newValue),set$1(this.#version,get$4(this.#version)+1))};#deserialize(value){try{return this.#serializer.deserialize(value)}catch(error2){console.error(`Error when parsing "${value}" from persisted store "${this.#key}"`,error2);return}}#serialize(value){try{value!=null&&this.#storage?.setItem(this.#key,this.#serializer.
+serialize(value))}catch(error2){console.error(`Error when writing value from persisted store "${this.#key}" to ${this.#storage}`,error2)}}}function sanitizeClassNames(classNames){return classNames.filter(className=>className.length>0)}const noopStorage={getItem:_key=>null,setItem:(_key,_value)=>{}},isBrowser=typeof document<"u";function isFunction(value){return typeof value=="function"}function isObject(value){return value!==null&&typeof value=="object"}const BoxSymbol=Symbol("box"),isWritableSymbol=Symbol(
+"is-writable");function isBox(value){return isObject(value)&&BoxSymbol in value}function isWritableBox(value){return box.isBox(value)&&isWritableSymbol in value}function box(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$4(current2)},set current(v){set$1(current2,v,!0)}}}function boxWith(getter,setter){const derived2=user_derived(getter);return setter?{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$4(derived2)},
+set current(v){setter(v)}}:{[BoxSymbol]:!0,get current(){return getter()}}}function boxFrom(value){return box.isBox(value)?value:isFunction(value)?box.with(value):box(value)}function boxFlatten(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>box.isBox(b)?(box.isWritableBox(b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox(b){return box.
+isWritableBox(b)?{[BoxSymbol]:!0,get current(){return b.current}}:b}box.from=boxFrom;box.with=boxWith;box.flatten=boxFlatten;box.readonly=toReadonlyBox;box.isBox=isBox;box.isWritableBox=isWritableBox;function createParser(matcher,replacer){const regex=RegExp(matcher,"g");return str=>{if(typeof str!="string")throw new TypeError(`expected an argument of type string, but got ${typeof str}`);return str.match(regex)?str.replace(regex,replacer):str}}const camelToKebab=createParser(/[A-Z]/,match=>`-${match.
+toLowerCase()}`);function styleToCSS(styleObj){if(!styleObj||typeof styleObj!="object"||Array.isArray(styleObj))throw new TypeError(`expected an argument of type object, but got ${typeof styleObj}`);return Object.keys(styleObj).map(property=>`${camelToKebab(property)}: ${styleObj[property]};`).join(`
+`)}function styleToString(style2={}){return styleToCSS(style2).replace(`
+`," ")}const srOnlyStyles={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"};styleToString(srOnlyStyles);const defaultWindow=typeof window<"u"?window:void 0;function getActiveElement(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}
+return activeElement}class ActiveElement4{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement(this.#document):null}}new ActiveElement4;
+const modeStorageKey=box("mode-watcher-mode"),themeStorageKey=box("mode-watcher-theme"),modes=["dark","light","system"];function isValidMode(value){return typeof value!="string"?!1:modes.includes(value)}class UserPrefersMode{#defaultValue="system";#storage=isBrowser?localStorage:noopStorage;#initialValue=this.#storage.getItem(modeStorageKey.current);#value=isValidMode(this.#initialValue)?this.#initialValue:this.#defaultValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){
+return new PersistedState(modeStorageKey.current,value,{serializer:{serialize:v=>v,deserialize:v=>isValidMode(v)?v:this.#defaultValue}})}constructor(){effect_root(()=>watch.pre(()=>modeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$4(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$4(this.#persisted).current}set current(newValue){get$4(this.#persisted).current=
+newValue}}class SystemPrefersMode{#defaultValue=void 0;#track=!0;#current=state$1(proxy(this.#defaultValue));#mediaQueryState=typeof window<"u"&&typeof window.matchMedia=="function"?new MediaQuery("prefers-color-scheme: light"):{current:!1};query(){isBrowser&&set$1(this.#current,this.#mediaQueryState.current?"light":"dark",!0)}tracking(active){this.#track=active}constructor(){effect_root(()=>{user_pre_effect(()=>{this.#track&&this.query()})}),this.query=this.query.bind(this),this.tracking=this.tracking.
+bind(this)}get current(){return get$4(this.#current)}}const userPrefersMode=new UserPrefersMode,systemPrefersMode=new SystemPrefersMode;class CustomTheme{#storage=isBrowser?localStorage:noopStorage;#initialValue=this.#storage.getItem(themeStorageKey.current);#value=this.#initialValue===null||this.#initialValue===void 0?"":this.#initialValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){return new PersistedState(themeStorageKey.current,value,{serializer:{serialize:v=>typeof v!=
+"string"?"":v,deserialize:v=>v}})}constructor(){effect_root(()=>watch.pre(()=>themeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$4(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$4(this.#persisted).current}set current(newValue){get$4(this.#persisted).current=newValue}}const customTheme=new CustomTheme;let timeoutAction,timeoutEnable,hasLoaded=!1,styleElement=null;
+function getStyleElement(){return styleElement||(styleElement=document.createElement("style"),styleElement.appendChild(document.createTextNode(`* {
+		-webkit-transition: none !important;
+		-moz-transition: none !important;
+		-o-transition: none !important;
+		-ms-transition: none !important;
+		transition: none !important;
+	}`)),styleElement)}function withoutTransition(action2,synchronous=!1){if(typeof document>"u")return;if(!hasLoaded){hasLoaded=!0,action2();return}if(typeof window<"u"&&window.__vitest_worker__){action2();return}clearTimeout(timeoutAction),clearTimeout(timeoutEnable);const style2=getStyleElement(),disable2=()=>document.head.appendChild(style2),enable=()=>{style2.parentNode&&document.head.removeChild(style2)};function executeAction(){action2(),window.requestAnimationFrame(enable)}if(typeof window.
+requestAnimationFrame<"u"){disable2(),synchronous?executeAction():window.requestAnimationFrame(()=>{executeAction()});return}disable2(),timeoutAction=window.setTimeout(()=>{action2(),timeoutEnable=window.setTimeout(enable,16)},16)}const themeColors=box(void 0),disableTransitions=box(!0),synchronousModeChanges=box(!1),darkClassNames=box([]),lightClassNames=box([]);function createDerivedMode(){const current2=user_derived(()=>{if(!isBrowser)return;const derivedMode2=userPrefersMode.current==="syste\
+m"?systemPrefersMode.current:userPrefersMode.current,sanitizedDarkClassNames=sanitizeClassNames(darkClassNames.current),sanitizedLightClassNames=sanitizeClassNames(lightClassNames.current);function update2(){const htmlEl=document.documentElement,themeColorEl=document.querySelector('meta[name="theme-color"]');derivedMode2==="light"?(sanitizedDarkClassNames.length&&htmlEl.classList.remove(...sanitizedDarkClassNames),sanitizedLightClassNames.length&&htmlEl.classList.add(...sanitizedLightClassNames),
+htmlEl.style.colorScheme="light",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.light)):(sanitizedLightClassNames.length&&htmlEl.classList.remove(...sanitizedLightClassNames),sanitizedDarkClassNames.length&&htmlEl.classList.add(...sanitizedDarkClassNames),htmlEl.style.colorScheme="dark",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.dark))}return disableTransitions.current?withoutTransition(update2,synchronousModeChanges.
+current):update2(),derivedMode2});return{get current(){return get$4(current2)}}}function createDerivedTheme(){const current2=user_derived(()=>{if(customTheme.current,!isBrowser)return;function update2(){document.documentElement.setAttribute("data-theme",customTheme.current)}return disableTransitions.current?withoutTransition(update2,untrack$1(()=>synchronousModeChanges.current)):update2(),customTheme.current});return{get current(){return get$4(current2)}}}const derivedMode=createDerivedMode(),derivedTheme=createDerivedTheme();
+function setMode(mode){userPrefersMode.current=mode}function setTheme(newTheme){customTheme.current=newTheme}function setInitialMode({defaultMode="system",themeColors:themeColors2,darkClassNames:darkClassNames2=["dark"],lightClassNames:lightClassNames2=[],defaultTheme="",modeStorageKey:modeStorageKey2="mode-watcher-mode",themeStorageKey:themeStorageKey2="mode-watcher-theme"}){const rootEl=document.documentElement,mode=localStorage.getItem(modeStorageKey2)??defaultMode,theme=localStorage.getItem(themeStorageKey2)??defaultTheme,light=mode==="light"||mode==="system"&&window.matchMedia("(prefers-color-sche\
+me: light)").matches;if(light?(darkClassNames2.length&&rootEl.classList.remove(...darkClassNames2.filter(Boolean)),lightClassNames2.length&&rootEl.classList.add(...lightClassNames2.filter(Boolean))):(lightClassNames2.length&&rootEl.classList.remove(...lightClassNames2.filter(Boolean)),darkClassNames2.length&&rootEl.classList.add(...darkClassNames2.filter(Boolean))),rootEl.style.colorScheme=light?"light":"dark",themeColors2){const themeMetaEl=document.querySelector('meta[name="theme-color"]');themeMetaEl&&
+themeMetaEl.setAttribute("content",mode==="light"?themeColors2.light:themeColors2.dark)}theme&&(rootEl.setAttribute("data-theme",theme),localStorage.setItem(themeStorageKey2,theme)),localStorage.setItem(modeStorageKey2,mode)}var root_1$Y=from_html('<meta name="theme-color"/>');function Mode_watcher_lite($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var meta=root_1$Y();template_effect(()=>set_attribute(meta,"content",$$props.
+themeColors.dark)),append($$anchor2,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$13=from_html('<meta name="theme-color"/>'),root_1$X=from_html("<!> <!>",1);function Mode_watcher_full($$anchor,$$props){push$1($$props,!0);let trueNonce=prop($$props,"trueNonce",3,"");head$1("1funsus",$$anchor2=>{var fragment=root_1$X(),node2=first_child(fragment);{var consequent=$$anchor3=>{var meta=root_2$13();template_effect(()=>set_attribute(
+meta,"content",$$props.themeColors.dark)),append($$anchor3,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}var node_1=sibling(node2,2);html$6(node_1,()=>`<script${trueNonce()?` nonce=${trueNonce()}`:""}>(`+setInitialMode.toString()+")("+JSON.stringify($$props.initConfig)+");<\/script>"),append($$anchor2,fragment)}),pop()}function Mode_watcher($$anchor,$$props){push$1($$props,!0);let track2=prop($$props,"track",3,!0),defaultMode=prop($$props,"defaultMode",3,"system"),
+disableTransitionsProp=prop($$props,"disableTransitions",3,!0),darkClassNamesProp=prop($$props,"darkClassNames",19,()=>["dark"]),lightClassNamesProp=prop($$props,"lightClassNames",19,()=>[]),defaultTheme=prop($$props,"defaultTheme",3,""),nonce=prop($$props,"nonce",3,""),themeStorageKeyProp=prop($$props,"themeStorageKey",3,"mode-watcher-theme"),modeStorageKeyProp=prop($$props,"modeStorageKey",3,"mode-watcher-mode"),disableHeadScriptInjection=prop($$props,"disableHeadScriptInjection",3,!1),synchronousModeChangesProp=prop(
+$$props,"synchronousModeChanges",3,!1);modeStorageKey.current=modeStorageKeyProp(),themeStorageKey.current=themeStorageKeyProp(),darkClassNames.current=darkClassNamesProp(),lightClassNames.current=lightClassNamesProp(),disableTransitions.current=disableTransitionsProp(),themeColors.current=$$props.themeColors,synchronousModeChanges.current=synchronousModeChangesProp(),user_pre_effect(()=>{synchronousModeChanges.current=synchronousModeChangesProp()}),user_pre_effect(()=>{disableTransitions.current=
+disableTransitionsProp()}),user_pre_effect(()=>{themeColors.current=$$props.themeColors}),user_pre_effect(()=>{darkClassNames.current=darkClassNamesProp()}),user_pre_effect(()=>{lightClassNames.current=lightClassNamesProp()}),user_pre_effect(()=>{modeStorageKey.current=modeStorageKeyProp()}),user_pre_effect(()=>{themeStorageKey.current=themeStorageKeyProp()}),user_pre_effect(()=>{derivedMode.current,modeStorageKey.current,themeStorageKey.current,derivedTheme.current}),onMount$1(()=>{systemPrefersMode.
+tracking(track2()),systemPrefersMode.query();const localStorageMode=localStorage.getItem(modeStorageKey.current);setMode(isValidMode(localStorageMode)?localStorageMode:defaultMode());const localStorageTheme=localStorage.getItem(themeStorageKey.current);setTheme(localStorageTheme||defaultTheme())});const initConfig={defaultMode:defaultMode(),themeColors:$$props.themeColors,darkClassNames:darkClassNamesProp(),lightClassNames:lightClassNamesProp(),defaultTheme:defaultTheme(),modeStorageKey:modeStorageKeyProp(),
+themeStorageKey:themeStorageKeyProp()},trueNonce=user_derived(()=>typeof window>"u"?nonce():"");var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Mode_watcher_lite($$anchor2,{get themeColors(){return themeColors.current}})},alternate=$$anchor2=>{Mode_watcher_full($$anchor2,{get trueNonce(){return get$4(trueNonce)},get initConfig(){return initConfig},get themeColors(){return themeColors.current}})};if_block(node2,$$render=>{disableHeadScriptInjection()?$$render(consequent):
+$$render(alternate,!1)})}append($$anchor,fragment),pop()}class MCPStore{#_isInitializing=state$1(!1);get _isInitializing(){return get$4(this.#_isInitializing)}set _isInitializing(value){set$1(this.#_isInitializing,value,!0)}#_error=state$1(null);get _error(){return get$4(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_toolCount=state$1(0);get _toolCount(){return get$4(this.#_toolCount)}set _toolCount(value){set$1(this.#_toolCount,value,!0)}#_connectedServers=state$1(proxy([]));get _connectedServers(){
+return get$4(this.#_connectedServers)}set _connectedServers(value){set$1(this.#_connectedServers,value,!0)}#_healthChecks=state$1(proxy({}));get _healthChecks(){return get$4(this.#_healthChecks)}set _healthChecks(value){set$1(this.#_healthChecks,value,!0)}#_proxyAvailable=state$1(!1);get _proxyAvailable(){return get$4(this.#_proxyAvailable)}set _proxyAvailable(value){set$1(this.#_proxyAvailable,value,!0)}connections=new Map;toolsIndex=new Map;serverConfigs=new Map;reconnectingServers=new Set;configSignature=null;initPromise=null;activeFlowCount=0;constructor(){
+this.probeProxy()}async probeProxy(){try{const response=await fetch(`${base}${CORS_PROXY_ENDPOINT}`,{method:"HEAD"});this._proxyAvailable=response.status!==404}catch{this._proxyAvailable=!1}}get isProxyAvailable(){return this._proxyAvailable}#generateServerId(id2,index2){return typeof id2=="string"&&id2.trim()?id2.trim():`${MCP_SERVER_ID_PREFIX}-${index2+1}`}#parseServerSettings(rawServers){if(!rawServers)return[];let parsed;if(typeof rawServers=="string"){const trimmed=rawServers.trim();if(!trimmed)
+return[];try{parsed=JSON.parse(trimmed)}catch(error2){return console.warn("[MCP] Failed to parse mcpServers JSON:",error2),[]}}else parsed=rawServers;return Array.isArray(parsed)?parsed.map((entry,index2)=>{const url2=typeof entry?.url=="string"?entry.url.trim():"",headers=typeof entry?.headers=="string"?entry.headers.trim():void 0;return{id:this.#generateServerId(entry?.id,index2),enabled:!!entry?.enabled,url:url2,name:entry?.name,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,headers:headers||
+void 0,useProxy:!!entry?.useProxy}}):[]}#buildServerConfig(entry,connectionTimeoutMs=DEFAULT_MCP_CONFIG.connectionTimeoutMs){if(!entry?.url)return;let headers;if(entry.headers)try{const parsed=JSON.parse(entry.headers);typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed)&&(headers=parsed)}catch{console.warn("[MCP] Failed to parse custom headers JSON:",entry.headers)}return{url:entry.url,transport:detectMcpTransportFromUrl(entry.url),handshakeTimeoutMs:connectionTimeoutMs,requestTimeoutMs:Math.
+round(entry.requestTimeoutSeconds*1e3),headers,useProxy:entry.useProxy}}#checkServerEnabled(server,perChatOverrides){return perChatOverrides?.find(o=>o.serverId===server.id)?.enabled??!1}#buildMcpClientConfig(cfg,perChatOverrides){const rawServers=this.#parseServerSettings(cfg.mcpServers);if(!rawServers.length)return;const servers={};for(const[index2,entry]of rawServers.entries()){if(!this.#checkServerEnabled(entry,perChatOverrides))continue;const normalized=this.#buildServerConfig(entry);normalized&&
+(servers[this.#generateServerId(entry.id,index2)]=normalized)}if(Object.keys(servers).length!==0)return{protocolVersion:DEFAULT_MCP_CONFIG.protocolVersion,capabilities:DEFAULT_MCP_CONFIG.capabilities,clientInfo:DEFAULT_MCP_CONFIG.clientInfo,requestTimeoutMs:Math.round(DEFAULT_MCP_CONFIG.requestTimeoutSeconds*1e3),servers}}#buildCapabilitiesInfo(serverCaps,clientCaps){return{server:{tools:serverCaps?.tools?{listChanged:serverCaps.tools.listChanged}:void 0,prompts:serverCaps?.prompts?{listChanged:serverCaps.
+prompts.listChanged}:void 0,resources:serverCaps?.resources?{subscribe:serverCaps.resources.subscribe,listChanged:serverCaps.resources.listChanged}:void 0,logging:!!serverCaps?.logging,completions:!!serverCaps?.completions,tasks:!!serverCaps?.tasks},client:{roots:clientCaps?.roots?{listChanged:clientCaps.roots.listChanged}:void 0,sampling:!!clientCaps?.sampling,elicitation:clientCaps?.elicitation?{form:!!clientCaps.elicitation.form,url:!!clientCaps.elicitation.url}:void 0,tasks:!!clientCaps?.tasks}}}get isInitializing(){
+return this._isInitializing}get isInitialized(){return this.connections.size>0}get error(){return this._error}get toolCount(){return this._toolCount}get connectedServerCount(){return this._connectedServers.length}get connectedServerNames(){return this._connectedServers}get isEnabled(){const mcpConfig=this.#buildMcpClientConfig(config$1());return mcpConfig!=null&&Object.keys(mcpConfig.servers).length>0}get availableTools(){return Array.from(this.toolsIndex.keys())}updateState(state2){state2.isInitializing!==
+void 0&&(this._isInitializing=state2.isInitializing),state2.error!==void 0&&(this._error=state2.error),state2.toolCount!==void 0&&(this._toolCount=state2.toolCount),state2.connectedServers!==void 0&&(this._connectedServers=state2.connectedServers)}updateHealthCheck(serverId,state2){this._healthChecks={...this._healthChecks,[serverId]:state2}}getHealthCheckState(serverId){return this._healthChecks[serverId]??{status:HealthCheckStatus.IDLE}}hasHealthCheck(serverId){return serverId in this._healthChecks&&
+this._healthChecks[serverId].status!==HealthCheckStatus.IDLE}clearHealthCheck(serverId){const{[serverId]:_removed,...rest}=this._healthChecks;this._healthChecks=rest}clearAllHealthChecks(){this._healthChecks={}}clearError(){this._error=null}getServers(){return parseMcpServerSettings(config$1().mcpServers)}getConnections(){return this.connections}getServerLabel(server){const healthState=this.getHealthCheckState(server.id);return healthState?.status===HealthCheckStatus.SUCCESS&&(healthState.serverInfo?.
+title||healthState.serverInfo?.name||server.name)||server.url}getServerById(serverId){return this.getServers().find(s2=>s2.id===serverId)}getServerDisplayName(serverId){const server=this.getServerById(serverId);return server?this.getServerLabel(server):serverId}#isValidIconUri(src){try{return src.startsWith(UrlProtocol.DATA)?!0:new URL(src).protocol===UrlProtocol.HTTPS}catch{return!1}}#getMcpIconUrl(icons,isDark=!1){if(!icons?.length)return null;const validIcons=icons.filter(icon=>!(!icon.src||!this.#isValidIconUri(
+icon.src)||icon.mimeType&&!MCP_ALLOWED_ICON_MIME_TYPES.has(icon.mimeType)));if(validIcons.length===0)return null;const preferredTheme=isDark?ColorMode.DARK:ColorMode.LIGHT,themedIcon=validIcons.find(icon=>icon.theme===preferredTheme);if(themedIcon)return this.#proxyIconSrc(themedIcon.src);const universalIcons=validIcons.filter(icon=>!icon.theme);return universalIcons.length===EXPECTED_THEMED_ICON_PAIR_COUNT?this.#proxyIconSrc(universalIcons[isDark?1:0].src):universalIcons.length>0?this.#proxyIconSrc(
+universalIcons[0].src):this.#proxyIconSrc(validIcons[0].src)}#proxyIconSrc(src){return src.startsWith("data:")||!this._proxyAvailable?src:getProxiedUrlString(src)}getServerFavicon(serverId){const server=this.getServerById(serverId);if(!server)return null;const isDark=derivedMode.current===ColorMode.DARK,healthState=this.getHealthCheckState(serverId);if(healthState.status===HealthCheckStatus.SUCCESS&&healthState.serverInfo?.icons){const mcpIconUrl=this.#getMcpIconUrl(healthState.serverInfo.icons,
+isDark);if(mcpIconUrl)return mcpIconUrl}return getFaviconUrl(server.url,this._proxyAvailable)}isAnyServerLoading(){return this.getServers().some(s2=>{const state2=this.getHealthCheckState(s2.id);return state2.status===HealthCheckStatus.IDLE||state2.status===HealthCheckStatus.CONNECTING})}getServersSorted(){const servers=this.getServers();return this.isAnyServerLoading()?servers:[...servers].sort((a,b)=>this.getServerLabel(a).localeCompare(this.getServerLabel(b)))}addServer(serverData){const servers=this.
+getServers(),newServer={id:serverData.id||(uuid$1()??`server-${Date.now()}`),enabled:serverData.enabled,url:serverData.url.trim(),name:serverData.name,headers:serverData.headers?.trim()||void 0,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,useProxy:serverData.useProxy};settingsStore.updateConfig("mcpServers",JSON.stringify([...servers,newServer]))}updateServer(id2,updates){const servers=this.getServers();settingsStore.updateConfig("mcpServers",JSON.stringify(servers.map(server=>server.
+id===id2?{...server,...updates}:server)))}removeServer(id2){const servers=this.getServers();settingsStore.updateConfig("mcpServers",JSON.stringify(servers.filter(s2=>s2.id!==id2))),this.clearHealthCheck(id2)}hasAvailableServers(){return parseMcpServerSettings(config$1().mcpServers).some(s2=>s2.enabled&&s2.url.trim())}hasEnabledServers(perChatOverrides){return!!this.#buildMcpClientConfig(config$1(),perChatOverrides)}getEnabledServersForConversation(perChatOverrides){return this.getServers().filter(
+server=>this.#checkServerEnabled(server,perChatOverrides))}async ensureInitialized(perChatOverrides){const mcpConfig=this.#buildMcpClientConfig(config$1(),perChatOverrides),signature=mcpConfig?JSON.stringify(mcpConfig):null;return signature?this.isInitialized&&this.configSignature===signature?!0:this.initPromise&&this.configSignature===signature?this.initPromise:((this.connections.size>0||this.initPromise)&&await this.shutdown(),this.initialize(signature,mcpConfig)):(await this.shutdown(),!1)}async initialize(signature,mcpConfig){
+this.updateState({isInitializing:!0,error:null}),this.configSignature=signature;const serverEntries=Object.entries(mcpConfig.servers);return serverEntries.length===0?(this.updateState({isInitializing:!1,toolCount:0,connectedServers:[]}),!1):(this.initPromise=this.doInitialize(signature,mcpConfig,serverEntries),this.initPromise)}async doInitialize(signature,mcpConfig,serverEntries){const clientInfo=mcpConfig.clientInfo??DEFAULT_MCP_CONFIG.clientInfo,capabilities=mcpConfig.capabilities??DEFAULT_MCP_CONFIG.
+capabilities,results=await Promise.allSettled(serverEntries.map(async([name,serverConfig])=>{this.serverConfigs.set(name,serverConfig);const listChangedHandlers=this.createListChangedHandlers(name),connection=await MCPService.connect(name,serverConfig,clientInfo,capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${name}] Connection lost, starting auto-reconnect`),this.autoReconnect(name))},listChangedHandlers);return{name,connection}}));if(this.configSignature!==
+signature){for(const result of results)result.status==="fulfilled"&&await MCPService.disconnect(result.value.connection).catch(console.warn);return!1}for(const result of results)if(result.status==="fulfilled"){const{name,connection}=result.value;this.connections.set(name,connection);for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${name}". Using tool from "${name}".`),
+this.toolsIndex.set(tool.name,name)}else console.error("[MCPStore] Failed to connect:",result.reason);return this.connections.size===0&&serverEntries.length>0?(this.updateState({isInitializing:!1,error:"All MCP server connections failed",toolCount:0,connectedServers:[]}),this.initPromise=null,!1):(this.updateState({isInitializing:!1,error:null,toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())}),this.initPromise=null,!0)}createListChangedHandlers(serverName){return{
+tools:{onChanged:(error2,tools)=>{if(error2){console.warn(`[MCPStore][${serverName}] Tools list changed error:`,error2);return}this.handleToolsListChanged(serverName,tools??[])}},prompts:{onChanged:error2=>{if(error2){console.warn(`[MCPStore][${serverName}] Prompts list changed error:`,error2);return}}}}}handleToolsListChanged(serverName,tools){const connection=this.connections.get(serverName);if(connection){for(const[toolName,ownerServer]of this.toolsIndex.entries())ownerServer===serverName&&this.
+toolsIndex.delete(toolName);connection.tools=tools;for(const tool of tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict after list change: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverName}". Using tool from "${serverName}".`),this.toolsIndex.set(tool.name,serverName);this.updateState({toolCount:this.toolsIndex.size})}}acquireConnection(){this.activeFlowCount++}async releaseConnection(shutdownIfUnused=!1){this.activeFlowCount=Math.max(0,
+this.activeFlowCount-1),shutdownIfUnused&&this.activeFlowCount===0&&await this.shutdown()}getActiveFlowCount(){return this.activeFlowCount}async shutdown(){this.initPromise&&(await this.initPromise.catch(()=>{}),this.initPromise=null),this.connections.size!==0&&(await Promise.all(Array.from(this.connections.values()).map(conn=>MCPService.disconnect(conn).catch(error2=>console.warn(`[MCPStore] Error disconnecting ${conn.serverName}:`,error2)))),this.connections.clear(),this.toolsIndex.clear(),this.
+serverConfigs.clear(),this.configSignature=null,this.updateState({isInitializing:!1,error:null,toolCount:0,connectedServers:[]}))}async reconnectServer(serverName){const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig)throw new Error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);const oldConnection=this.connections.get(serverName);oldConnection&&(await MCPService.disconnect(oldConnection).catch(console.warn),this.connections.delete(serverName)),console.log(`[\
+MCPStore][${serverName}] Session expired, reconnecting with fresh session...`);const listChangedHandlers=this.createListChangedHandlers(serverName),connection=await MCPService.connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${serverName}] Connection lost, starting auto-reconnect`),this.autoReconnect(serverName))},listChangedHandlers);this.connections.set(serverName,connection);
+for(const tool of connection.tools)this.toolsIndex.set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Session recovered successfully`)}async autoReconnect(serverName){if(this.reconnectingServers.has(serverName)){console.log(`[MCPStore][${serverName}] Reconnection already in progress, skipping`);return}const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig){console.error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);return}this.reconnectingServers.
+add(serverName);let backoff=MCP_RECONNECT_INITIAL_DELAY,needsReconnect=!1;try{for(;;){await new Promise(resolve2=>setTimeout(resolve2,backoff)),console.log(`[MCPStore][${serverName}] Auto-reconnecting...`);try{const timeoutPromise=new Promise((_,reject)=>setTimeout(()=>reject(new Error(`Reconnect attempt timed out after ${MCP_RECONNECT_ATTEMPT_TIMEOUT_MS}ms`)),MCP_RECONNECT_ATTEMPT_TIMEOUT_MS));needsReconnect=!1;const listChangedHandlers=this.createListChangedHandlers(serverName),connectPromise=MCPService.
+connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(this.reconnectingServers.has(serverName)?needsReconnect=!0:(console.log(`[MCPStore][${serverName}] Connection lost, restarting auto-reconnect`),this.autoReconnect(serverName)))},listChangedHandlers),connection=await Promise.race([connectPromise,timeoutPromise]);this.connections.set(serverName,connection);for(const tool of connection.tools)this.toolsIndex.
+set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Reconnected successfully`);break}catch(error2){console.warn(`[MCPStore][${serverName}] Reconnection failed:`,error2),backoff=Math.min(backoff*MCP_RECONNECT_BACKOFF_MULTIPLIER,MCP_RECONNECT_MAX_DELAY)}}}finally{this.reconnectingServers.delete(serverName),needsReconnect&&(console.log(`[MCPStore][${serverName}] Deferred disconnect detected, restarting auto-reconnect`),this.autoReconnect(serverName))}}getToolDefinitionsForLLM(){const tools=[];
+for(const connection of this.connections.values())for(const tool of connection.tools){const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};tools.push({type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:this.normalizeSchemaProperties(rawSchema)}})}return tools}normalizeSchemaProperties(schema){if(!schema||typeof schema!="object")return schema;const normalized={...schema};if(normalized.properties&&typeof normalized.properties==
+"object"){const props=normalized.properties,normalizedProps={};for(const[key2,prop2]of Object.entries(props)){if(!prop2||typeof prop2!="object"){normalizedProps[key2]=prop2;continue}const normalizedProp={...prop2};if(!normalizedProp.type&&normalizedProp.default!==void 0){const defaultVal=normalizedProp.default;typeof defaultVal=="string"?normalizedProp.type="string":typeof defaultVal=="number"?normalizedProp.type=Number.isInteger(defaultVal)?"integer":"number":typeof defaultVal=="boolean"?normalizedProp.
+type="boolean":Array.isArray(defaultVal)?normalizedProp.type="array":typeof defaultVal=="object"&&defaultVal!==null&&(normalizedProp.type="object")}normalizedProp.properties&&Object.assign(normalizedProp,this.normalizeSchemaProperties(normalizedProp)),normalizedProp.items&&typeof normalizedProp.items=="object"&&(normalizedProp.items=this.normalizeSchemaProperties(normalizedProp.items)),normalizedProps[key2]=normalizedProp}normalized.properties=normalizedProps}return normalized}getToolNames(){return Array.
+from(this.toolsIndex.keys())}hasTool(toolName){return this.toolsIndex.has(toolName)}getToolServer(toolName){return this.toolsIndex.get(toolName)}hasPromptsSupport(){for(const connection of this.connections.values())if(connection.serverCapabilities?.prompts)return!0;return!1}hasPromptsCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.
+entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&connection.serverCapabilities?.prompts)return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const connection of this.connections.
+values())if(connection.serverCapabilities?.prompts)return!0;return!1}async getAllPrompts(){const results=[];for(const[serverName,connection]of this.connections){if(!connection.serverCapabilities?.prompts)continue;const prompts=await MCPService.listPrompts(connection);for(const prompt of prompts)results.push({name:prompt.name,description:prompt.description,title:prompt.title,serverName,arguments:prompt.arguments?.map(arg=>({name:arg.name,description:arg.description,required:arg.required}))})}return results}async getPrompt(serverName,promptName,args){
+const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" not found for prompt "${promptName}"`);return MCPService.getPrompt(connection,promptName,args)}async executeTool(toolCall,signal){const toolName=toolCall.function.name,serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not connected`);const args=this.
+parseToolArguments(toolCall.function.arguments);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}async executeToolByName(toolName,args,signal){
+const serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not connected`);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(
+`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}parseToolArguments(args){if(typeof args=="string"){const trimmed=args.trim();if(trimmed==="")return{};try{const parsed=JSON.parse(trimmed);if(typeof parsed!="object"||parsed===null||Array.isArray(parsed))throw new Error(`Tool arguments must be an object, got ${Array.isArray(parsed)?"array":typeof parsed}`);return parsed}catch(error2){throw new Error(`Failed to p\
+arse tool arguments as JSON: ${error2.message}`)}}if(typeof args=="object"&&args!==null&&!Array.isArray(args))return args;throw new Error(`Invalid tool arguments type: ${typeof args}`)}async getPromptCompletions(serverName,promptName,argumentName,argumentValue){const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.complete(connection,{type:MCPRefType.PROMPT,name:promptName},{name:argumentName,value:argumentValue}):null:(console.
+warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async getResourceCompletions(serverName,uriTemplate,argumentName,argumentValue){const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.complete(connection,{type:MCPRefType.RESOURCE,uri:uriTemplate},{name:argumentName,value:argumentValue}):null:(console.warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async readResourceByUri(serverName,uri2){const connection=this.
+connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),null;try{return(await MCPService.readResource(connection,uri2)).contents}catch(error2){return console.error(`[MCPStore] Failed to read resource ${uri2}:`,error2),null}}parseHeaders(headersJson){if(headersJson?.trim())try{const parsed=JSON.parse(headersJson);if(typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed))return parsed}catch{console.warn("[MCPStore] Failed \
+to parse custom headers JSON:",headersJson)}}async runHealthChecksForServers(servers,skipIfChecked=!0,promoteToActive=!1){const serversToCheck=skipIfChecked?servers.filter(s2=>!this.hasHealthCheck(s2.id)&&s2.url.trim()):servers.filter(s2=>s2.url.trim());if(serversToCheck.length===0)return;const BATCH_SIZE=5;for(let i=0;i<serversToCheck.length;i+=BATCH_SIZE){const batch=serversToCheck.slice(i,i+BATCH_SIZE);await Promise.allSettled(batch.map(server=>this.runHealthCheck(server,promoteToActive)))}}getExistingConnection(serverId){
+return this.connections.get(serverId)}async runHealthCheck(server,promoteToActive=!1){const existingConnection=this.connections.get(server.id);if(existingConnection)try{const tools=await MCPService.listTools(existingConnection),capabilities=this.#buildCapabilitiesInfo(existingConnection.serverCapabilities,existingConnection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools:tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),
+serverInfo:existingConnection.serverInfo,capabilities,transportType:existingConnection.transportType,protocolVersion:existingConnection.protocolVersion,instructions:existingConnection.instructions,connectionTimeMs:existingConnection.connectionTimeMs,logs:[]});return}catch(error2){console.warn(`[MCPStore] Failed to reuse connection for ${server.id}, creating new one:`,error2),this.connections.delete(server.id)}const trimmedUrl=server.url.trim(),logs=[];let currentPhase=MCPConnectionPhase.IDLE;if(!trimmedUrl){
+this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message:"Please enter a server URL first.",logs:[]});return}this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase:MCPConnectionPhase.TRANSPORT_CREATING,logs:[]});const timeoutMs=Math.round(server.requestTimeoutSeconds*1e3),headers=this.parseHeaders(server.headers);try{const serverConfig={url:trimmedUrl,transport:detectMcpTransportFromUrl(trimmedUrl),handshakeTimeoutMs:DEFAULT_MCP_CONFIG.connectionTimeoutMs,requestTimeoutMs:timeoutMs,
+headers,useProxy:server.useProxy};this.serverConfigs.set(server.id,serverConfig);const connection=await MCPService.connect(server.id,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,(phase,log)=>{currentPhase=phase,logs.push(log),this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase,logs:[...logs]}),phase===MCPConnectionPhase.DISCONNECTED&&promoteToActive&&(console.log(`[MCPStore][${server.id}] Connection lost during health check, starting auto-rec\
+onnect`),this.autoReconnect(server.id))}),tools=connection.tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),capabilities=this.#buildCapabilitiesInfo(connection.serverCapabilities,connection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools,serverInfo:connection.serverInfo,capabilities,transportType:connection.transportType,protocolVersion:connection.protocolVersion,instructions:connection.instructions,connectionTimeMs:connection.
+connectionTimeMs,logs}),promoteToActive&&server.enabled?this.promoteHealthCheckToConnection(server.id,connection):await MCPService.disconnect(connection)}catch(error2){const message=error2 instanceof Error?error2.message:"Unknown error occurred";logs.at(-1)?.phase!==MCPConnectionPhase.ERROR&&logs.push({timestamp:new Date,phase:MCPConnectionPhase.ERROR,message:`Connection failed: ${message}`,level:MCPLogLevel.ERROR}),this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message,phase:currentPhase,
+logs})}}promoteHealthCheckToConnection(serverId,connection){for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict during promotion: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverId}". Using tool from "${serverId}".`),this.toolsIndex.set(tool.name,serverId);this.connections.set(serverId,connection),this.updateState({toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())})}getServersStatus(){
+const statuses=[];for(const[name,connection]of this.connections)statuses.push({name,isConnected:!0,toolCount:connection.tools.length,error:void 0});return statuses}getServerInstructions(){const results=[];for(const[serverName,connection]of this.connections)connection.instructions&&results.push({serverName,serverTitle:connection.serverInfo?.title||connection.serverInfo?.name,instructions:connection.instructions});return results}getHealthCheckInstructions(){const results=[];for(const[serverId,state2]of Object.
+entries(this._healthChecks))state2.status===HealthCheckStatus.SUCCESS&&state2.instructions&&results.push({serverId,serverTitle:state2.serverInfo?.title||state2.serverInfo?.name,instructions:state2.instructions});return results}hasServerInstructions(){for(const connection of this.connections.values())if(connection.instructions)return!0;return!1}hasResourcesCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));
+if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&MCPService.supportsResources(connection))return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.
+server?.resources!==void 0)return!0;for(const connection of this.connections.values())if(MCPService.supportsResources(connection))return!0;return!1}getServersWithResources(){const servers=[];for(const[name,connection]of this.connections)MCPService.supportsResources(connection)&&!servers.includes(name)&&servers.push(name);for(const[serverId,state2]of Object.entries(this._healthChecks))!servers.includes(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==
+void 0&&servers.push(serverId);return servers}async fetchAllResources(forceRefresh=!1){const serversWithResources=this.getServersWithResources();if(serversWithResources.length!==0){if(!forceRefresh&&serversWithResources.every(serverName=>{const serverRes=mcpResourceStore.getServerResources(serverName);return!serverRes||!serverRes.lastFetched?!1:Date.now()-serverRes.lastFetched.getTime()<DEFAULT_CACHE_TTL_MS})){console.log("[MCPStore] Using cached resources");return}mcpResourceStore.setLoading(!0);
+try{await Promise.all(serversWithResources.map(serverName=>this.fetchServerResources(serverName)))}finally{mcpResourceStore.setLoading(!1)}}}async fetchServerResources(serverName){const connection=this.connections.get(serverName);if(!connection){console.warn(`[MCPStore] No connection found for server: ${serverName}`);return}if(MCPService.supportsResources(connection)){mcpResourceStore.setServerLoading(serverName,!0);try{const[resources,templates]=await Promise.all([MCPService.listAllResources(connection),
+MCPService.listAllResourceTemplates(connection)]);mcpResourceStore.setServerResources(serverName,resources,templates)}catch(error2){const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.setServerError(serverName,message),console.error(`[MCPStore][${serverName}] Failed to fetch resources:`,error2)}}}async readResource(uri2){const cached2=mcpResourceStore.getCachedContent(uri2);if(cached2)return cached2.content;const serverName=mcpResourceStore.findServerForUri(uri2);
+if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),null;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),null;try{const result=await MCPService.readResource(connection,uri2),resourceInfo=mcpResourceStore.findResourceByUri(uri2);return resourceInfo&&mcpResourceStore.cacheResourceContent(resourceInfo,result.contents),result.contents}catch(error2){return console.
+error(`[MCPStore] Failed to read resource ${uri2}:`,error2),null}}async subscribeToResource(uri2){const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),!1;if(!MCPService.supportsResourceSubscriptions(connection))return!1;try{return await MCPService.subscribeResource(
+connection,uri2),mcpResourceStore.addSubscription(uri2,serverName),!0}catch(error2){return console.error(`[MCPStore] Failed to subscribe to resource ${uri2}:`,error2),!1}}async unsubscribeFromResource(uri2){const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),
+!1;try{return await MCPService.unsubscribeResource(connection,uri2),mcpResourceStore.removeSubscription(uri2),!0}catch(error2){return console.error(`[MCPStore] Failed to unsubscribe from resource ${uri2}:`,error2),!1}}async attachResource(uri2){const resourceInfo=mcpResourceStore.findResourceByUri(uri2);if(!resourceInfo)return console.error(`[MCPStore] Resource not found: ${uri2}`),null;if(mcpResourceStore.isAttached(uri2))return null;const attachment=mcpResourceStore.addAttachment(resourceInfo);
+try{const content2=await this.readResource(uri2);content2?mcpResourceStore.updateAttachmentContent(attachment.id,content2):mcpResourceStore.updateAttachmentError(attachment.id,"Failed to read resource")}catch(error2){const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.updateAttachmentError(attachment.id,message)}return mcpResourceStore.getAttachment(attachment.id)??null}removeResourceAttachment(attachmentId){mcpResourceStore.removeAttachment(attachmentId)}clearResourceAttachments(){
+mcpResourceStore.clearAttachments()}getResourceContextForChat(){return mcpResourceStore.formatAttachmentsForContext()}consumeResourceAttachmentsAsExtras(){const extras=mcpResourceStore.toMessageExtras();return extras.length>0&&mcpResourceStore.clearAttachments(),extras}}const mcpStore=new MCPStore;var root_2$12=from_html('<button type="button"><!> <span class="max-w-[150px] truncate text-xs"> </span> <!></button>'),root_9$n=from_html('<img alt="" class="h-3 w-3 shrink-0 rounded-sm"/>'),root_8$p=from_html(
+'<div class="flex items-center gap-1 text-xs"><!> <span class="truncate"> </span></div>'),root_1$W=from_html("<!> <!>",1);function ChatAttachmentMcpResource($$anchor,$$props){push$1($$props,!0);function getStatusClass(attachment){return attachment.error?"border-red-500/50 bg-red-500/10":(attachment.loading,"border-border/50 bg-muted/30")}const ResourceIcon=user_derived(()=>getResourceIcon($$props.attachment.resource.mimeType,$$props.attachment.resource.uri)),serverName=user_derived(()=>mcpStore.
+getServerDisplayName($$props.attachment.resource.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.attachment.resource.serverName));var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$W(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{
+var button=root_2$12();button.__click=function(...$$args){$$props.onClick?.apply(this,$$args)};var node_2=child(button);{var consequent=$$anchor6=>{Loader_circle($$anchor6,{class:"h-3 w-3 animate-spin text-muted-foreground"})},alternate_1=$$anchor6=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);{var consequent_1=$$anchor7=>{Circle_alert($$anchor7,{class:"h-3 w-3 text-red-500"})},alternate=$$anchor7=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);component(node_4,()=>get$4(
+ResourceIcon),($$anchor8,ResourceIcon_1)=>{ResourceIcon_1($$anchor8,{class:"h-3 w-3 text-muted-foreground"})}),append($$anchor7,fragment_5)};if_block(node_3,$$render=>{$$props.attachment.error?$$render(consequent_1):$$render(alternate,!1)},!0)}append($$anchor6,fragment_3)};if_block(node_2,$$render=>{$$props.attachment.loading?$$render(consequent):$$render(alternate_1,!1)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span);var node_5=sibling(span,2);{var consequent_2=$$anchor6=>{ActionIconRemove(
+$$anchor6,{class:"-my-2 -mr-1.5 bg-transparent",iconSize:2,get id(){return $$props.attachment.id},get onRemove(){return $$props.onRemove}})};if_block(node_5,$$render=>{$$props.onRemove&&$$render(consequent_2)})}reset(button),template_effect(($0,$1)=>{set_class(button,1,$0),button.disabled=!$$props.onClick,set_text(text2,$1)},[()=>clsx(cn$1("flex flex-shrink-0 items-center gap-1.5 rounded-md border px-2 py-0.75 text-sm transition-colors",getStatusClass($$props.attachment),$$props.onClick&&"cursor\
+-pointer hover:bg-muted/50",$$props.class)),()=>getResourceDisplayName($$props.attachment.resource)]),append($$anchor5,button)},$$slots:{default:!0}})});var node_6=sibling(node_1,2);component(node_6,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var div=root_8$p(),node_7=child(div);{var consequent_3=$$anchor6=>{var img=root_9$n();template_effect(()=>set_attribute(img,"src",get$4(favicon))),event("error",img,e=>{e.currentTarget.style.
+display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_7,$$render=>{get$4(favicon)&&$$render(consequent_3)})}var span_1=sibling(node_7,2),text_1=child(span_1,!0);reset(span_1),reset(div),template_effect(()=>set_text(text_1,get$4(serverName))),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);const alertVariants=tv({base:"relative grid w-full grid-cols-[0_1fr] items-start gap\
+-y-0.5 rounded-lg border px-4 py-3 text-sm has-[>svg]:grid-cols-[calc(var(--spacing)*4)_1fr] has-[>svg]:gap-x-3 [&>svg]:size-4 [&>svg]:translate-y-0.5 [&>svg]:text-current",variants:{variant:{default:"bg-card text-card-foreground",destructive:"text-destructive bg-card *:data-[slot=alert-description]:text-destructive/90 [&>svg]:text-current"}},defaultVariants:{variant:"default"}});var root$1t=from_html("<div><!></div>");function Alert($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"re\
+f",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","variant","children"]);var div=root$1t();attribute_effect(div,$0=>({"data-slot":"alert",class:$0,...restProps,role:"alert"}),[()=>cn$1(alertVariants({variant:variant()}),$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1s=from_html("<div><\
+!></div>");function Alert_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1s();attribute_effect(div,$0=>({"data-slot":"alert-description",class:$0,...restProps}),[()=>cn$1("col-start-2 grid justify-items-start gap-1 text-sm text-muted-foreground [&_p]:leading-relaxed",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),
+bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1r=from_html("<div><!></div>");function Alert_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1r();attribute_effect(div,$0=>({"data-slot":"alert-title",class:$0,...restProps}),[()=>cn$1("col-start-2 line-clamp-1 min-h-4 font-medium tracking-tight",$$props.class)]);var node2=child(
+div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}class AudioRecorder{mediaRecorder=null;audioChunks=[];stream=null;recordingState=!1;async startRecording(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:{echoCancellation:!0,noiseSuppression:!0,autoGainControl:!0}}),this.initializeRecorder(this.stream),this.audioChunks=[],this.mediaRecorder.start(100),this.recordingState=!0}catch(error2){throw console.
+error("Failed to start recording:",error2),new Error("Failed to access microphone. Please check permissions.")}}async stopRecording(){return new Promise((resolve2,reject)=>{if(!this.mediaRecorder||this.mediaRecorder.state==="inactive"){reject(new Error("No active recording to stop"));return}this.mediaRecorder.onstop=()=>{const mimeType=this.mediaRecorder?.mimeType||MimeTypeAudio.WAV,audioBlob=new Blob(this.audioChunks,{type:mimeType});this.cleanup(),resolve2(audioBlob)},this.mediaRecorder.onerror=
+event2=>{console.error("Recording error:",event2),this.cleanup(),reject(new Error("Recording failed"))},this.mediaRecorder.stop()})}isRecording(){return this.recordingState}cancelRecording(){this.mediaRecorder&&this.mediaRecorder.state!=="inactive"&&this.mediaRecorder.stop(),this.cleanup()}initializeRecorder(stream){const options={};MediaRecorder.isTypeSupported(MimeTypeAudio.WAV)?options.mimeType=MimeTypeAudio.WAV:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM_OPUS)?options.mimeType=MimeTypeAudio.
+WEBM_OPUS:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM)?options.mimeType=MimeTypeAudio.WEBM:MediaRecorder.isTypeSupported(MimeTypeAudio.MP4)?options.mimeType=MimeTypeAudio.MP4:console.warn("No preferred audio format supported, using default"),this.mediaRecorder=new MediaRecorder(stream,options),this.mediaRecorder.ondataavailable=event2=>{event2.data.size>0&&this.audioChunks.push(event2.data)},this.mediaRecorder.onstop=()=>{this.recordingState=!1},this.mediaRecorder.onerror=event2=>{console.error(
+"MediaRecorder error:",event2),this.recordingState=!1}}cleanup(){if(this.stream){for(const track2 of this.stream.getTracks())track2.stop();this.stream=null}this.mediaRecorder=null,this.audioChunks=[],this.recordingState=!1}}async function convertToWav(audioBlob){try{if(audioBlob.type.includes("wav"))return audioBlob;const arrayBuffer=await audioBlob.arrayBuffer(),audioContext=new(window.AudioContext||window.webkitAudioContext),audioBuffer=await audioContext.decodeAudioData(arrayBuffer),wavBlob=audioBufferToWav(
+audioBuffer);return audioContext.close(),wavBlob}catch(error2){return console.error("Failed to convert audio to WAV:",error2),audioBlob}}function audioBufferToWav(buffer){const length=buffer.length,numberOfChannels=buffer.numberOfChannels,sampleRate=buffer.sampleRate,blockAlign=numberOfChannels*2,byteRate=sampleRate*blockAlign,dataSize=length*blockAlign,bufferSize=44+dataSize,arrayBuffer=new ArrayBuffer(bufferSize),view=new DataView(arrayBuffer),writeString=(offset22,string2)=>{for(let i=0;i<string2.
+length;i++)view.setUint8(offset22+i,string2.charCodeAt(i))};writeString(0,"RIFF"),view.setUint32(4,bufferSize-8,!0),writeString(8,"WAVE"),writeString(12,"fmt "),view.setUint32(16,16,!0),view.setUint16(20,1,!0),view.setUint16(22,numberOfChannels,!0),view.setUint32(24,sampleRate,!0),view.setUint32(28,byteRate,!0),view.setUint16(32,blockAlign,!0),view.setUint16(34,16,!0),writeString(36,"data"),view.setUint32(40,dataSize,!0);let offset2=44;for(let i=0;i<length;i++)for(let channel=0;channel<numberOfChannels;channel++){
+const sample=Math.max(-1,Math.min(1,buffer.getChannelData(channel)[i]));view.setInt16(offset2,sample*32767,!0),offset2+=2}return new Blob([arrayBuffer],{type:MimeTypeAudio.WAV})}function createAudioFile(audioBlob,filename){const timestamp=new Date().toISOString().replace(/[:.]/g,"-"),extension2=audioBlob.type.includes("wav")?"wav":"mp3",defaultFilename=`recording-${timestamp}.${extension2}`;return new File([audioBlob],defaultFilename,{type:audioBlob.type,lastModified:Date.now()})}function isAudioRecordingSupported(){
+return!!(typeof navigator<"u"&&navigator.mediaDevices&&typeof navigator.mediaDevices.getUserMedia=="function"&&typeof window<"u"&&window.MediaRecorder)}const isNodeJS=typeof process=="object"&&process+""=="[object process]"&&!process.versions.nw&&!(process.versions.electron&&process.type&&process.type!=="browser"),FONT_IDENTITY_MATRIX=[.001,0,0,.001,0,0],LINE_FACTOR=1.35,RenderingIntentFlag={ANY:1,DISPLAY:2,PRINT:4,ANNOTATIONS_FORMS:16,ANNOTATIONS_STORAGE:32,ANNOTATIONS_DISABLE:64,IS_EDITING:128,
+OPLIST:256},AnnotationMode={DISABLE:0,ENABLE:1,ENABLE_FORMS:2,ENABLE_STORAGE:3},AnnotationEditorPrefix="pdfjs_internal_editor_",AnnotationEditorType={DISABLE:-1,NONE:0,FREETEXT:3,HIGHLIGHT:9,STAMP:13,INK:15,SIGNATURE:101,COMMENT:102},AnnotationEditorParamsType={RESIZE:1,CREATE:2,FREETEXT_SIZE:11,FREETEXT_COLOR:12,FREETEXT_OPACITY:13,INK_COLOR:21,INK_THICKNESS:22,INK_OPACITY:23,HIGHLIGHT_COLOR:31,HIGHLIGHT_THICKNESS:32,HIGHLIGHT_FREE:33,HIGHLIGHT_SHOW_ALL:34,DRAW_STEP:41},PermissionFlag={PRINT:4,
+MODIFY_CONTENTS:8,COPY:16,MODIFY_ANNOTATIONS:32,FILL_INTERACTIVE_FORMS:256,COPY_FOR_ACCESSIBILITY:512,ASSEMBLE:1024,PRINT_HIGH_QUALITY:2048},TextRenderingMode={FILL:0,STROKE:1,FILL_STROKE:2,INVISIBLE:3,FILL_STROKE_MASK:3,ADD_TO_PATH_FLAG:4},util_ImageKind={GRAYSCALE_1BPP:1,RGB_24BPP:2,RGBA_32BPP:3},AnnotationType={TEXT:1,LINK:2,FREETEXT:3,LINE:4,SQUARE:5,CIRCLE:6,POLYGON:7,POLYLINE:8,HIGHLIGHT:9,UNDERLINE:10,SQUIGGLY:11,STRIKEOUT:12,STAMP:13,CARET:14,INK:15,POPUP:16,FILEATTACHMENT:17,SOUND:18,MOVIE:19,
+WIDGET:20,SCREEN:21,PRINTERMARK:22,TRAPNET:23,WATERMARK:24,THREED:25,REDACT:26},AnnotationBorderStyleType={SOLID:1,DASHED:2,BEVELED:3,INSET:4,UNDERLINE:5},VerbosityLevel={ERRORS:0,WARNINGS:1,INFOS:5},OPS={dependency:1,setLineWidth:2,setLineCap:3,setLineJoin:4,setMiterLimit:5,setDash:6,setRenderingIntent:7,setFlatness:8,setGState:9,save:10,restore:11,transform:12,moveTo:13,lineTo:14,curveTo:15,curveTo2:16,curveTo3:17,closePath:18,rectangle:19,stroke:20,closeStroke:21,fill:22,eoFill:23,fillStroke:24,
+eoFillStroke:25,closeFillStroke:26,closeEOFillStroke:27,endPath:28,clip:29,eoClip:30,beginText:31,endText:32,setCharSpacing:33,setWordSpacing:34,setHScale:35,setLeading:36,setFont:37,setTextRenderingMode:38,setTextRise:39,moveText:40,setLeadingMoveText:41,setTextMatrix:42,nextLine:43,showText:44,showSpacedText:45,nextLineShowText:46,nextLineSetSpacingShowText:47,setCharWidth:48,setCharWidthAndBounds:49,setStrokeColorSpace:50,setFillColorSpace:51,setStrokeColor:52,setStrokeColorN:53,setFillColor:54,
+setFillColorN:55,setStrokeGray:56,setFillGray:57,setStrokeRGBColor:58,setFillRGBColor:59,setStrokeCMYKColor:60,setFillCMYKColor:61,shadingFill:62,beginInlineImage:63,beginImageData:64,endInlineImage:65,paintXObject:66,markPoint:67,markPointProps:68,beginMarkedContent:69,beginMarkedContentProps:70,endMarkedContent:71,beginCompat:72,endCompat:73,paintFormXObjectBegin:74,paintFormXObjectEnd:75,beginGroup:76,endGroup:77,beginAnnotation:80,endAnnotation:81,paintImageMaskXObject:83,paintImageMaskXObjectGroup:84,
+paintImageXObject:85,paintInlineImageXObject:86,paintInlineImageXObjectGroup:87,paintImageXObjectRepeat:88,paintImageMaskXObjectRepeat:89,paintSolidColorImageMask:90,constructPath:91,setStrokeTransparent:92,setFillTransparent:93,rawFillPath:94},DrawOPS={moveTo:0,lineTo:1,curveTo:2,closePath:3},PasswordResponses={NEED_PASSWORD:1,INCORRECT_PASSWORD:2};let verbosity=VerbosityLevel.WARNINGS;function setVerbosityLevel(level){Number.isInteger(level)&&(verbosity=level)}function getVerbosityLevel(){return verbosity}
+function info(msg){verbosity>=VerbosityLevel.INFOS&&console.log(`Info: ${msg}`)}function warn(msg){verbosity>=VerbosityLevel.WARNINGS&&console.log(`Warning: ${msg}`)}function unreachable(msg){throw new Error(msg)}function assert$1(cond,msg){cond||unreachable(msg)}function _isValidProtocol(url2){switch(url2?.protocol){case"http:":case"https:":case"ftp:":case"mailto:":case"tel:":return!0;default:return!1}}function createValidAbsoluteUrl(url2,baseUrl=null,options=null){if(!url2)return null;if(options&&
+typeof url2=="string"&&(options.addDefaultProtocol&&url2.startsWith("www.")&&url2.match(/\./g)?.length>=2&&(url2=`http://${url2}`),options.tryConvertEncoding))try{url2=stringToUTF8String(url2)}catch{}const absoluteUrl=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return _isValidProtocol(absoluteUrl)?absoluteUrl:null}function updateUrlHash(url2,hash2,allowRel=!1){const res=URL.parse(url2);return res?(res.hash=hash2,res.href):allowRel&&createValidAbsoluteUrl(url2,"http://example.com")?url2.split(
+"#",1)[0]+`${hash2?`#${hash2}`:""}`:""}function shadow(obj,prop2,value,nonSerializable=!1){return Object.defineProperty(obj,prop2,{value,enumerable:!nonSerializable,configurable:!0,writable:!1}),value}const BaseException=function(){function BaseException2(message,name){this.message=message,this.name=name}return BaseException2.prototype=new Error,BaseException2.constructor=BaseException2,BaseException2}();class PasswordException extends BaseException{constructor(msg,code2){super(msg,"PasswordExce\
+ption"),this.code=code2}}class UnknownErrorException extends BaseException{constructor(msg,details){super(msg,"UnknownErrorException"),this.details=details}}class InvalidPDFException extends BaseException{constructor(msg){super(msg,"InvalidPDFException")}}class ResponseException extends BaseException{constructor(msg,status,missing){super(msg,"ResponseException"),this.status=status,this.missing=missing}}class FormatError extends BaseException{constructor(msg){super(msg,"FormatError")}}class AbortException extends BaseException{constructor(msg){
+super(msg,"AbortException")}}function bytesToString(bytes){(typeof bytes!="object"||bytes?.length===void 0)&&unreachable("Invalid argument for bytesToString");const length=bytes.length,MAX_ARGUMENT_COUNT=8192;if(length<MAX_ARGUMENT_COUNT)return String.fromCharCode.apply(null,bytes);const strBuf=[];for(let i=0;i<length;i+=MAX_ARGUMENT_COUNT){const chunkEnd=Math.min(i+MAX_ARGUMENT_COUNT,length),chunk=bytes.subarray(i,chunkEnd);strBuf.push(String.fromCharCode.apply(null,chunk))}return strBuf.join("")}
+function stringToBytes(str){typeof str!="string"&&unreachable("Invalid argument for stringToBytes");const length=str.length,bytes=new Uint8Array(length);for(let i=0;i<length;++i)bytes[i]=str.charCodeAt(i)&255;return bytes}function string32(value){return String.fromCharCode(value>>24&255,value>>16&255,value>>8&255,value&255)}function isLittleEndian(){const buffer8=new Uint8Array(4);return buffer8[0]=1,new Uint32Array(buffer8.buffer,0,1)[0]===1}function isEvalSupported(){try{return new Function(""),
+!0}catch{return!1}}class util_FeatureTest{static get isLittleEndian(){return shadow(this,"isLittleEndian",isLittleEndian())}static get isEvalSupported(){return shadow(this,"isEvalSupported",isEvalSupported())}static get isOffscreenCanvasSupported(){return shadow(this,"isOffscreenCanvasSupported",typeof OffscreenCanvas<"u")}static get isImageDecoderSupported(){return shadow(this,"isImageDecoderSupported",typeof ImageDecoder<"u")}static get platform(){const{platform:platform2,userAgent}=navigator;
+return shadow(this,"platform",{isAndroid:userAgent.includes("Android"),isLinux:platform2.includes("Linux"),isMac:platform2.includes("Mac"),isWindows:platform2.includes("Win"),isFirefox:userAgent.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const hexNumbers=Array.from(Array(256).keys(),n=>n.toString(16).padStart(2,"0"));class Util{static makeHexColor(r2,g,b){return`#${hexNumbers[r2]}${hexNumbers[g]}${hexNumbers[b]}`}static scaleMinMax(transform2,minMax){
+let temp;transform2[0]?(transform2[0]<0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[0],minMax[2]*=transform2[0],transform2[3]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[3],minMax[3]*=transform2[3]):(temp=minMax[0],minMax[0]=minMax[1],minMax[1]=temp,temp=minMax[2],minMax[2]=minMax[3],minMax[3]=temp,transform2[1]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[1],minMax[3]*=transform2[1],transform2[2]<0&&
+(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[2],minMax[2]*=transform2[2]),minMax[0]+=transform2[4],minMax[1]+=transform2[5],minMax[2]+=transform2[4],minMax[3]+=transform2[5]}static transform(m1,m2){return[m1[0]*m2[0]+m1[2]*m2[1],m1[1]*m2[0]+m1[3]*m2[1],m1[0]*m2[2]+m1[2]*m2[3],m1[1]*m2[2]+m1[3]*m2[3],m1[0]*m2[4]+m1[2]*m2[5]+m1[4],m1[1]*m2[4]+m1[3]*m2[5]+m1[5]]}static applyTransform(p2,m,pos=0){const p0=p2[pos],p1=p2[pos+1];p2[pos]=p0*m[0]+p1*m[2]+m[4],p2[pos+1]=p0*m[1]+
+p1*m[3]+m[5]}static applyTransformToBezier(p2,transform2,pos=0){const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5];for(let i=0;i<6;i+=2){const pI=p2[pos+i],pI1=p2[pos+i+1];p2[pos+i]=pI*m0+pI1*m2+m4,p2[pos+i+1]=pI*m1+pI1*m3+m5}}static applyInverseTransform(p2,m){const p0=p2[0],p1=p2[1],d2=m[0]*m[3]-m[1]*m[2];p2[0]=(p0*m[3]-p1*m[2]+m[2]*m[5]-m[4]*m[3])/d2,p2[1]=(-p0*m[1]+p1*m[0]+m[4]*m[1]-m[5]*m[0])/d2}static axialAlignedBoundingBox(rect,transform2,output){
+const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5],r0=rect[0],r1=rect[1],r2=rect[2],r3=rect[3];let a0=m0*r0+m4,a2=a0,a1=m0*r2+m4,a3=a1,b0=m3*r1+m5,b2=b0,b1=m3*r3+m5,b3=b1;if(m1!==0||m2!==0){const m1r0=m1*r0,m1r2=m1*r2,m2r1=m2*r1,m2r3=m2*r3;a0+=m2r1,a3+=m2r1,a1+=m2r3,a2+=m2r3,b0+=m1r0,b3+=m1r0,b1+=m1r2,b2+=m1r2}output[0]=Math.min(output[0],a0,a1,a2,a3),output[1]=Math.min(output[1],b0,b1,b2,b3),output[2]=Math.max(output[2],a0,a1,a2,a3),output[3]=
+Math.max(output[3],b0,b1,b2,b3)}static inverseTransform(m){const d2=m[0]*m[3]-m[1]*m[2];return[m[3]/d2,-m[1]/d2,-m[2]/d2,m[0]/d2,(m[2]*m[5]-m[4]*m[3])/d2,(m[4]*m[1]-m[5]*m[0])/d2]}static singularValueDecompose2dScale(matrix,output){const m0=matrix[0],m1=matrix[1],m2=matrix[2],m3=matrix[3],a=m0**2+m1**2,b=m0*m2+m1*m3,c2=m2**2+m3**2,first=(a+c2)/2,second=Math.sqrt(first**2-(a*c2-b**2));output[0]=Math.sqrt(first+second||1),output[1]=Math.sqrt(first-second||1)}static normalizeRect(rect){const r2=rect.
+slice(0);return rect[0]>rect[2]&&(r2[0]=rect[2],r2[2]=rect[0]),rect[1]>rect[3]&&(r2[1]=rect[3],r2[3]=rect[1]),r2}static intersect(rect1,rect2){const xLow=Math.max(Math.min(rect1[0],rect1[2]),Math.min(rect2[0],rect2[2])),xHigh=Math.min(Math.max(rect1[0],rect1[2]),Math.max(rect2[0],rect2[2]));if(xLow>xHigh)return null;const yLow=Math.max(Math.min(rect1[1],rect1[3]),Math.min(rect2[1],rect2[3])),yHigh=Math.min(Math.max(rect1[1],rect1[3]),Math.max(rect2[1],rect2[3]));return yLow>yHigh?null:[xLow,yLow,
+xHigh,yHigh]}static pointBoundingBox(x,y,minMax){minMax[0]=Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static rectBoundingBox(x0,y0,x1,y1,minMax){minMax[0]=Math.min(minMax[0],x0,x1),minMax[1]=Math.min(minMax[1],y0,y1),minMax[2]=Math.max(minMax[2],x0,x1),minMax[3]=Math.max(minMax[3],y0,y1)}static#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,t,minMax){if(t<=0||t>=1)return;const mt=1-t,tt=t*t,ttt=tt*t,x=mt*(mt*(mt*x0+3*t*x1)+3*
+tt*x2)+ttt*x3,y=mt*(mt*(mt*y0+3*t*y1)+3*tt*y2)+ttt*y3;minMax[0]=Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,a,b,c2,minMax){if(Math.abs(a)<1e-12){Math.abs(b)>=1e-12&&this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,-c2/b,minMax);return}const delta=b**2-4*c2*a;if(delta<0)return;const sqrtDelta=Math.sqrt(delta),a2=2*a;this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b+sqrtDelta)/a2,
+minMax),this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b-sqrtDelta)/a2,minMax)}static bezierBoundingBox(x0,y0,x1,y1,x2,y2,x3,y3,minMax){minMax[0]=Math.min(minMax[0],x0,x3),minMax[1]=Math.min(minMax[1],y0,y3),minMax[2]=Math.max(minMax[2],x0,x3),minMax[3]=Math.max(minMax[3],y0,y3),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-x0+3*(x1-x2)+x3),6*(x0-2*x1+x2),3*(x1-x0),minMax),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-y0+3*(y1-y2)+y3),6*(y0-2*y1+y2),3*(y1-y0),minMax)}}function stringToUTF8String(str){
+return decodeURIComponent(escape(str))}let NormalizeRegex=null,NormalizationMap=null;function normalizeUnicode(str){return NormalizeRegex||(NormalizeRegex=/([\u00a0\u00b5\u037e\u0eb3\u2000-\u200a\u202f\u2126\ufb00-\ufb04\ufb06\ufb20-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufba1\ufba4-\ufba9\ufbae-\ufbb1\ufbd3-\ufbdc\ufbde-\ufbe7\ufbea-\ufbf8\ufbfc-\ufbfd\ufc00-\ufc5d\ufc64-\ufcf1\ufcf5-\ufd3d\ufd88\ufdf4\ufdfa-\ufdfb\ufe71\ufe77\ufe79\ufe7b\ufe7d]+)|(\ufb05+)/gu,NormalizationMap=
+new Map([["ſt","ſt"]])),str.replaceAll(NormalizeRegex,(_,p1,p2)=>p1?p1.normalize("NFKC"):NormalizationMap.get(p2))}function getUuid(){if(typeof crypto.randomUUID=="function")return crypto.randomUUID();const buf=new Uint8Array(32);return crypto.getRandomValues(buf),bytesToString(buf)}const AnnotationPrefix="pdfjs_internal_id_";function _isValidExplicitDest(validRef,validName,dest){if(!Array.isArray(dest)||dest.length<2)return!1;const[page2,zoom,...args]=dest;if(!validRef(page2)&&!Number.isInteger(
+page2)||!validName(zoom))return!1;const argsLen=args.length;let allowNull=!0;switch(zoom.name){case"XYZ":if(argsLen<2||argsLen>3)return!1;break;case"Fit":case"FitB":return argsLen===0;case"FitH":case"FitBH":case"FitV":case"FitBV":if(argsLen>1)return!1;break;case"FitR":if(argsLen!==4)return!1;allowNull=!1;break;default:return!1}for(const arg of args)if(!(typeof arg=="number"||allowNull&&arg===null))return!1;return!0}function MathClamp(v,min2,max2){return Math.min(Math.max(v,min2),max2)}function toBase64Util(arr){
+return Uint8Array.prototype.toBase64?arr.toBase64():btoa(bytesToString(arr))}function fromBase64Util(str){return Uint8Array.fromBase64?Uint8Array.fromBase64(str):stringToBytes(atob(str))}typeof Promise.try!="function"&&(Promise.try=function(fn,...args){return new Promise(resolve2=>{resolve2(fn(...args))})});typeof Math.sumPrecise!="function"&&(Math.sumPrecise=function(numbers){return numbers.reduce((a,b)=>a+b,0)});const SVG_NS="http://www.w3.org/2000/svg";class PixelsPerInch{static CSS=96;static PDF=72;static PDF_TO_CSS_UNITS=this.
+CSS/this.PDF}async function fetchData(url2,type2="text"){if(isValidFetchUrl(url2,document.baseURI)){const response=await fetch(url2);if(!response.ok)throw new Error(response.statusText);switch(type2){case"arraybuffer":return response.arrayBuffer();case"blob":return response.blob();case"json":return response.json()}return response.text()}return new Promise((resolve2,reject)=>{const request=new XMLHttpRequest;request.open("GET",url2,!0),request.responseType=type2,request.onreadystatechange=()=>{if(request.
+readyState===XMLHttpRequest.DONE){if(request.status===200||request.status===0){switch(type2){case"arraybuffer":case"blob":case"json":resolve2(request.response);return}resolve2(request.responseText);return}reject(new Error(request.statusText))}},request.send(null)})}class PageViewport{constructor({viewBox,userUnit,scale:scale2,rotation,offsetX=0,offsetY=0,dontFlip=!1}){this.viewBox=viewBox,this.userUnit=userUnit,this.scale=scale2,this.rotation=rotation,this.offsetX=offsetX,this.offsetY=offsetY,scale2*=
+userUnit;const centerX=(viewBox[2]+viewBox[0])/2,centerY=(viewBox[3]+viewBox[1])/2;let rotateA,rotateB,rotateC,rotateD;switch(rotation%=360,rotation<0&&(rotation+=360),rotation){case 180:rotateA=-1,rotateB=0,rotateC=0,rotateD=1;break;case 90:rotateA=0,rotateB=1,rotateC=1,rotateD=0;break;case 270:rotateA=0,rotateB=-1,rotateC=-1,rotateD=0;break;case 0:rotateA=1,rotateB=0,rotateC=0,rotateD=-1;break;default:throw new Error("PageViewport: Invalid rotation, must be a multiple of 90 degrees.")}dontFlip&&
+(rotateC=-rotateC,rotateD=-rotateD);let offsetCanvasX,offsetCanvasY,width,height;rotateA===0?(offsetCanvasX=Math.abs(centerY-viewBox[1])*scale2+offsetX,offsetCanvasY=Math.abs(centerX-viewBox[0])*scale2+offsetY,width=(viewBox[3]-viewBox[1])*scale2,height=(viewBox[2]-viewBox[0])*scale2):(offsetCanvasX=Math.abs(centerX-viewBox[0])*scale2+offsetX,offsetCanvasY=Math.abs(centerY-viewBox[1])*scale2+offsetY,width=(viewBox[2]-viewBox[0])*scale2,height=(viewBox[3]-viewBox[1])*scale2),this.transform=[rotateA*
+scale2,rotateB*scale2,rotateC*scale2,rotateD*scale2,offsetCanvasX-rotateA*scale2*centerX-rotateC*scale2*centerY,offsetCanvasY-rotateB*scale2*centerX-rotateD*scale2*centerY],this.width=width,this.height=height}get rawDims(){const dims=this.viewBox;return shadow(this,"rawDims",{pageWidth:dims[2]-dims[0],pageHeight:dims[3]-dims[1],pageX:dims[0],pageY:dims[1]})}clone({scale:scale2=this.scale,rotation=this.rotation,offsetX=this.offsetX,offsetY=this.offsetY,dontFlip=!1}={}){return new PageViewport({viewBox:this.
+viewBox.slice(),userUnit:this.userUnit,scale:scale2,rotation,offsetX,offsetY,dontFlip})}convertToViewportPoint(x,y){const p2=[x,y];return Util.applyTransform(p2,this.transform),p2}convertToViewportRectangle(rect){const topLeft=[rect[0],rect[1]];Util.applyTransform(topLeft,this.transform);const bottomRight=[rect[2],rect[3]];return Util.applyTransform(bottomRight,this.transform),[topLeft[0],topLeft[1],bottomRight[0],bottomRight[1]]}convertToPdfPoint(x,y){const p2=[x,y];return Util.applyInverseTransform(
+p2,this.transform),p2}}class RenderingCancelledException extends BaseException{constructor(msg,extraDelay=0){super(msg,"RenderingCancelledException"),this.extraDelay=extraDelay}}function isDataScheme(url2){const ii=url2.length;let i=0;for(;i<ii&&url2[i].trim()==="";)i++;return url2.substring(i,i+5).toLowerCase()==="data:"}function isPdfFile(filename){return typeof filename=="string"&&/\.pdf$/i.test(filename)}function getFilenameFromUrl(url2){return[url2]=url2.split(/[#?]/,1),url2.substring(url2.
+lastIndexOf("/")+1)}function getPdfFilenameFromUrl(url2,defaultFilename="document.pdf"){if(typeof url2!="string")return defaultFilename;if(isDataScheme(url2))return warn('getPdfFilenameFromUrl: ignore "data:"-URL for performance reasons.'),defaultFilename;const newURL=(urlString=>{try{return new URL(urlString)}catch{try{return new URL(decodeURIComponent(urlString))}catch{try{return new URL(urlString,"https://foo.bar")}catch{try{return new URL(decodeURIComponent(urlString),"https://foo.bar")}catch{
+return null}}}}})(url2);if(!newURL)return defaultFilename;const decode2=name=>{try{let decoded=decodeURIComponent(name);return decoded.includes("/")?(decoded=decoded.split("/").at(-1),decoded.test(/^\.pdf$/i)?decoded:name):decoded}catch{return name}},pdfRegex=/\.pdf$/i,filename=newURL.pathname.split("/").at(-1);if(pdfRegex.test(filename))return decode2(filename);if(newURL.searchParams.size>0){const values=Array.from(newURL.searchParams.values()).reverse();for(const value of values)if(pdfRegex.test(
+value))return decode2(value);const keys2=Array.from(newURL.searchParams.keys()).reverse();for(const key2 of keys2)if(pdfRegex.test(key2))return decode2(key2)}if(newURL.hash){const hashFilename=/[^/?#=]+\.pdf\b(?!.*\.pdf\b)/i.exec(newURL.hash);if(hashFilename)return decode2(hashFilename[0])}return defaultFilename}class StatTimer{started=Object.create(null);times=[];time(name){name in this.started&&warn(`Timer is already running for ${name}`),this.started[name]=Date.now()}timeEnd(name){name in this.
+started||warn(`Timer has not been started for ${name}`),this.times.push({name,start:this.started[name],end:Date.now()}),delete this.started[name]}toString(){const outBuf=[];let longest=0;for(const{name}of this.times)longest=Math.max(name.length,longest);for(const{name,start:start2,end}of this.times)outBuf.push(`${name.padEnd(longest)} ${end-start2}ms
+`);return outBuf.join("")}}function isValidFetchUrl(url2,baseUrl){const res=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return res?.protocol==="http:"||res?.protocol==="https:"}function noContextMenu(e){e.preventDefault()}function stopEvent(e){e.preventDefault(),e.stopPropagation()}function deprecated(details){console.log("Deprecated API usage: "+details)}class PDFDateString{static#regex;static toDateObject(input){if(input instanceof Date)return input;if(!input||typeof input!="string")return null;
+this.#regex||=new RegExp("^D:(\\d{4})(\\d{2})?(\\d{2})?(\\d{2})?(\\d{2})?(\\d{2})?([Z|+|-])?(\\d{2})?'?(\\d{2})?'?");const matches2=this.#regex.exec(input);if(!matches2)return null;const year=parseInt(matches2[1],10);let month=parseInt(matches2[2],10);month=month>=1&&month<=12?month-1:0;let day=parseInt(matches2[3],10);day=day>=1&&day<=31?day:1;let hour=parseInt(matches2[4],10);hour=hour>=0&&hour<=23?hour:0;let minute=parseInt(matches2[5],10);minute=minute>=0&&minute<=59?minute:0;let second=parseInt(
+matches2[6],10);second=second>=0&&second<=59?second:0;const universalTimeRelation=matches2[7]||"Z";let offsetHour=parseInt(matches2[8],10);offsetHour=offsetHour>=0&&offsetHour<=23?offsetHour:0;let offsetMinute=parseInt(matches2[9],10)||0;return offsetMinute=offsetMinute>=0&&offsetMinute<=59?offsetMinute:0,universalTimeRelation==="-"?(hour+=offsetHour,minute+=offsetMinute):universalTimeRelation==="+"&&(hour-=offsetHour,minute-=offsetMinute),new Date(Date.UTC(year,month,day,hour,minute,second))}}function getXfaPageViewport(xfaPage,{
+scale:scale2=1,rotation=0}){const{width,height}=xfaPage.attributes.style,viewBox=[0,0,parseInt(width),parseInt(height)];return new PageViewport({viewBox,userUnit:1,scale:scale2,rotation})}function getRGB(color){if(color.startsWith("#")){const colorRGB=parseInt(color.slice(1),16);return[(colorRGB&16711680)>>16,(colorRGB&65280)>>8,colorRGB&255]}return color.startsWith("rgb(")?color.slice(4,-1).split(",").map(x=>parseInt(x)):color.startsWith("rgba(")?color.slice(5,-1).split(",").map(x=>parseInt(x)).
+slice(0,3):(warn(`Not a valid color format: "${color}"`),[0,0,0])}function getColorValues(colors){const span=document.createElement("span");span.style.visibility="hidden",span.style.colorScheme="only light",document.body.append(span);for(const name of colors.keys()){span.style.color=name;const computedColor=window.getComputedStyle(span).color;colors.set(name,getRGB(computedColor))}span.remove()}function getCurrentTransform(ctx){const{a,b,c:c2,d:d2,e,f}=ctx.getTransform();return[a,b,c2,d2,e,f]}function getCurrentTransformInverse(ctx){
+const{a,b,c:c2,d:d2,e,f}=ctx.getTransform().invertSelf();return[a,b,c2,d2,e,f]}function setLayerDimensions(div,viewport,mustFlip=!1,mustRotate=!0){if(viewport instanceof PageViewport){const{pageWidth,pageHeight}=viewport.rawDims,{style:style2}=div,useRound=util_FeatureTest.isCSSRoundSupported,w=`var(--total-scale-factor) * ${pageWidth}px`,h2=`var(--total-scale-factor) * ${pageHeight}px`,widthStr=useRound?`round(down, ${w}, var(--scale-round-x))`:`calc(${w})`,heightStr=useRound?`round(down, ${h2}\
+, var(--scale-round-y))`:`calc(${h2})`;!mustFlip||viewport.rotation%180===0?(style2.width=widthStr,style2.height=heightStr):(style2.width=heightStr,style2.height=widthStr)}mustRotate&&div.setAttribute("data-main-rotation",viewport.rotation)}class OutputScale{constructor(){const{pixelRatio}=OutputScale;this.sx=pixelRatio,this.sy=pixelRatio}get scaled(){return this.sx!==1||this.sy!==1}get symmetric(){return this.sx===this.sy}limitCanvas(width,height,maxPixels,maxDim,capAreaFactor=-1){let maxAreaScale=1/0,
+maxWidthScale=1/0,maxHeightScale=1/0;maxPixels=OutputScale.capPixels(maxPixels,capAreaFactor),maxPixels>0&&(maxAreaScale=Math.sqrt(maxPixels/(width*height))),maxDim!==-1&&(maxWidthScale=maxDim/width,maxHeightScale=maxDim/height);const maxScale=Math.min(maxAreaScale,maxWidthScale,maxHeightScale);return this.sx>maxScale||this.sy>maxScale?(this.sx=maxScale,this.sy=maxScale,!0):!1}static get pixelRatio(){return globalThis.devicePixelRatio||1}static capPixels(maxPixels,capAreaFactor){if(capAreaFactor>=
+0){const winPixels=Math.ceil(window.screen.availWidth*window.screen.availHeight*this.pixelRatio**2*(1+capAreaFactor/100));return maxPixels>0?Math.min(maxPixels,winPixels):winPixels}return maxPixels}}const SupportedImageMimeTypes=["image/apng","image/avif","image/bmp","image/gif","image/jpeg","image/png","image/svg+xml","image/webp","image/x-icon"];class EditorToolbar{#toolbar=null;#colorPicker=null;#editor;#buttons=null;#altText=null;#comment=null;#signatureDescriptionButton=null;static#l10nRemove=null;constructor(editor){
+this.#editor=editor,EditorToolbar.#l10nRemove||=Object.freeze({freetext:"pdfjs-editor-remove-freetext-button",highlight:"pdfjs-editor-remove-highlight-button",ink:"pdfjs-editor-remove-ink-button",stamp:"pdfjs-editor-remove-stamp-button",signature:"pdfjs-editor-remove-signature-button"})}render(){const editToolbar=this.#toolbar=document.createElement("div");editToolbar.classList.add("editToolbar","hidden"),editToolbar.setAttribute("role","toolbar");const signal=this.#editor._uiManager._signal;editToolbar.
+addEventListener("contextmenu",noContextMenu,{signal}),editToolbar.addEventListener("pointerdown",EditorToolbar.#pointerDown,{signal});const buttons=this.#buttons=document.createElement("div");buttons.className="buttons",editToolbar.append(buttons);const position2=this.#editor.toolbarPosition;if(position2){const{style:style2}=editToolbar,x=this.#editor._uiManager.direction==="ltr"?1-position2[0]:position2[0];style2.insetInlineEnd=`${100*x}%`,style2.top=`calc(${100*position2[1]}% + var(--editor-t\
+oolbar-vert-offset))`}return editToolbar}get div(){return this.#toolbar}static#pointerDown(e){e.stopPropagation()}#focusIn(e){this.#editor._focusEventsAllowed=!1,stopEvent(e)}#focusOut(e){this.#editor._focusEventsAllowed=!0,stopEvent(e)}#addListenersToElement(element2){const signal=this.#editor._uiManager._signal;element2.addEventListener("focusin",this.#focusIn.bind(this),{capture:!0,signal}),element2.addEventListener("focusout",this.#focusOut.bind(this),{capture:!0,signal}),element2.addEventListener(
+"contextmenu",noContextMenu,{signal})}hide(){this.#toolbar.classList.add("hidden"),this.#colorPicker?.hideDropdown()}show(){this.#toolbar.classList.remove("hidden"),this.#altText?.shown(),this.#comment?.shown()}addDeleteButton(){const{editorType,_uiManager}=this.#editor,button=document.createElement("button");button.className="delete",button.tabIndex=0,button.setAttribute("data-l10n-id",EditorToolbar.#l10nRemove[editorType]),this.#addListenersToElement(button),button.addEventListener("click",e=>{
+_uiManager.delete()},{signal:_uiManager._signal}),this.#buttons.append(button)}get#divider(){const divider=document.createElement("div");return divider.className="divider",divider}async addAltText(altText){const button=await altText.render();this.#addListenersToElement(button),this.#buttons.append(button,this.#divider),this.#altText=altText}addComment(comment2){if(this.#comment)return;const button=comment2.render();button&&(this.#addListenersToElement(button),this.#buttons.prepend(button,this.#divider),
+this.#comment=comment2,comment2.toolbar=this)}addColorPicker(colorPicker){if(this.#colorPicker)return;this.#colorPicker=colorPicker;const button=colorPicker.renderButton();this.#addListenersToElement(button),this.#buttons.append(button,this.#divider)}async addEditSignatureButton(signatureManager){const button=this.#signatureDescriptionButton=await signatureManager.renderEditButton(this.#editor);this.#addListenersToElement(button),this.#buttons.append(button,this.#divider)}async addButton(name,tool){
+switch(name){case"colorPicker":this.addColorPicker(tool);break;case"altText":await this.addAltText(tool);break;case"editSignature":await this.addEditSignatureButton(tool);break;case"delete":this.addDeleteButton();break;case"comment":this.addComment(tool);break}}updateEditSignatureButton(description2){this.#signatureDescriptionButton&&(this.#signatureDescriptionButton.title=description2)}remove(){this.#toolbar.remove(),this.#colorPicker?.destroy(),this.#colorPicker=null}}class HighlightToolbar{#buttons=null;#toolbar=null;#uiManager;constructor(uiManager){
+this.#uiManager=uiManager}#render(){const editToolbar=this.#toolbar=document.createElement("div");editToolbar.className="editToolbar",editToolbar.setAttribute("role","toolbar"),editToolbar.addEventListener("contextmenu",noContextMenu,{signal:this.#uiManager._signal});const buttons=this.#buttons=document.createElement("div");return buttons.className="buttons",editToolbar.append(buttons),this.#addHighlightButton(),editToolbar}#getLastPoint(boxes,isLTR){let lastY=0,lastX=0;for(const box2 of boxes){
+const y=box2.y+box2.height;if(y<lastY)continue;const x=box2.x+(isLTR?box2.width:0);if(y>lastY){lastX=x,lastY=y;continue}isLTR?x>lastX&&(lastX=x):x<lastX&&(lastX=x)}return[isLTR?1-lastX:lastX,lastY]}show(parent,boxes,isLTR){const[x,y]=this.#getLastPoint(boxes,isLTR),{style:style2}=this.#toolbar||=this.#render();parent.append(this.#toolbar),style2.insetInlineEnd=`${100*x}%`,style2.top=`calc(${100*y}% + var(--editor-toolbar-vert-offset))`}hide(){this.#toolbar.remove()}#addHighlightButton(){const button=document.
+createElement("button");button.className="highlightButton",button.tabIndex=0,button.setAttribute("data-l10n-id","pdfjs-highlight-floating-button1");const span=document.createElement("span");button.append(span),span.className="visuallyHidden",span.setAttribute("data-l10n-id","pdfjs-highlight-floating-button-label");const signal=this.#uiManager._signal;button.addEventListener("contextmenu",noContextMenu,{signal}),button.addEventListener("click",()=>{this.#uiManager.highlightSelection("floating_but\
+ton")},{signal}),this.#buttons.append(button)}}function bindEvents(obj,element2,names2){for(const name of names2)element2.addEventListener(name,obj[name].bind(obj))}class IdManager{#id=0;get id(){return`${AnnotationEditorPrefix}${this.#id++}`}}class ImageManager{#baseId=getUuid();#id=0;#cache=null;static get _isSVGFittingCanvas(){const svg2='data:image/svg+xml;charset=UTF-8,<svg viewBox="0 0 1 1" width="1" height="1" xmlns="http://www.w3.org/2000/svg"><rect width="1" height="1" style="fill:red;"\
+/></svg>',ctx=new OffscreenCanvas(1,3).getContext("2d",{willReadFrequently:!0}),image2=new Image;image2.src=svg2;const promise=image2.decode().then(()=>(ctx.drawImage(image2,0,0,1,1,0,0,1,3),new Uint32Array(ctx.getImageData(0,0,1,1).data.buffer)[0]===0));return shadow(this,"_isSVGFittingCanvas",promise)}async#get(key2,rawData){this.#cache||=new Map;let data=this.#cache.get(key2);if(data===null)return null;if(data?.bitmap)return data.refCounter+=1,data;try{data||={bitmap:null,id:`image_${this.#baseId}\
+_${this.#id++}`,refCounter:0,isSvg:!1};let image2;if(typeof rawData=="string"?(data.url=rawData,image2=await fetchData(rawData,"blob")):rawData instanceof File?image2=data.file=rawData:rawData instanceof Blob&&(image2=rawData),image2.type==="image/svg+xml"){const mustRemoveAspectRatioPromise=ImageManager._isSVGFittingCanvas,fileReader=new FileReader,imageElement=new Image,imagePromise=new Promise((resolve2,reject)=>{imageElement.onload=()=>{data.bitmap=imageElement,data.isSvg=!0,resolve2()},fileReader.
+onload=async()=>{const url2=data.svgUrl=fileReader.result;imageElement.src=await mustRemoveAspectRatioPromise?`${url2}#svgView(preserveAspectRatio(none))`:url2},imageElement.onerror=fileReader.onerror=reject});fileReader.readAsDataURL(image2),await imagePromise}else data.bitmap=await createImageBitmap(image2);data.refCounter=1}catch(e){warn(e),data=null}return this.#cache.set(key2,data),data&&this.#cache.set(data.id,data),data}async getFromFile(file){const{lastModified,name,size:size2,type:type2}=file;
+return this.#get(`${lastModified}_${name}_${size2}_${type2}`,file)}async getFromUrl(url2){return this.#get(url2,url2)}async getFromBlob(id2,blobPromise){const blob=await blobPromise;return this.#get(id2,blob)}async getFromId(id2){this.#cache||=new Map;const data=this.#cache.get(id2);if(!data)return null;if(data.bitmap)return data.refCounter+=1,data;if(data.file)return this.getFromFile(data.file);if(data.blobPromise){const{blobPromise}=data;return delete data.blobPromise,this.getFromBlob(data.id,
+blobPromise)}return this.getFromUrl(data.url)}getFromCanvas(id2,canvas){this.#cache||=new Map;let data=this.#cache.get(id2);if(data?.bitmap)return data.refCounter+=1,data;const offscreen=new OffscreenCanvas(canvas.width,canvas.height);return offscreen.getContext("2d").drawImage(canvas,0,0),data={bitmap:offscreen.transferToImageBitmap(),id:`image_${this.#baseId}_${this.#id++}`,refCounter:1,isSvg:!1},this.#cache.set(id2,data),this.#cache.set(data.id,data),data}getSvgUrl(id2){const data=this.#cache.
+get(id2);return data?.isSvg?data.svgUrl:null}deleteId(id2){this.#cache||=new Map;const data=this.#cache.get(id2);if(!data||(data.refCounter-=1,data.refCounter!==0))return;const{bitmap}=data;if(!data.url&&!data.file){const canvas=new OffscreenCanvas(bitmap.width,bitmap.height);canvas.getContext("bitmaprenderer").transferFromImageBitmap(bitmap),data.blobPromise=canvas.convertToBlob()}bitmap.close?.(),data.bitmap=null}isValidId(id2){return id2.startsWith(`image_${this.#baseId}_`)}}class CommandManager{#commands=[];#locked=!1;#maxSize;#position=-1;constructor(maxSize=128){
+this.#maxSize=maxSize}add({cmd,undo,post,mustExec,type:type2=NaN,overwriteIfSameType=!1,keepUndo=!1}){if(mustExec&&cmd(),this.#locked)return;const save={cmd,undo,post,type:type2};if(this.#position===-1){this.#commands.length>0&&(this.#commands.length=0),this.#position=0,this.#commands.push(save);return}if(overwriteIfSameType&&this.#commands[this.#position].type===type2){keepUndo&&(save.undo=this.#commands[this.#position].undo),this.#commands[this.#position]=save;return}const next2=this.#position+
+1;next2===this.#maxSize?this.#commands.splice(0,1):(this.#position=next2,next2<this.#commands.length&&this.#commands.splice(next2)),this.#commands.push(save)}undo(){if(this.#position===-1)return;this.#locked=!0;const{undo,post}=this.#commands[this.#position];undo(),post?.(),this.#locked=!1,this.#position-=1}redo(){if(this.#position<this.#commands.length-1){this.#position+=1,this.#locked=!0;const{cmd,post}=this.#commands[this.#position];cmd(),post?.(),this.#locked=!1}}hasSomethingToUndo(){return this.#position!==
+-1}hasSomethingToRedo(){return this.#position<this.#commands.length-1}cleanType(type2){if(this.#position!==-1){for(let i=this.#position;i>=0;i--)if(this.#commands[i].type!==type2){this.#commands.splice(i+1,this.#position-i),this.#position=i;return}this.#commands.length=0,this.#position=-1}}destroy(){this.#commands=null}}class KeyboardManager{constructor(callbacks){this.buffer=[],this.callbacks=new Map,this.allKeys=new Set;const{isMac}=util_FeatureTest.platform;for(const[keys2,callback,options={}]of callbacks)
+for(const key2 of keys2){const isMacKey=key2.startsWith("mac+");isMac&&isMacKey?(this.callbacks.set(key2.slice(4),{callback,options}),this.allKeys.add(key2.split("+").at(-1))):!isMac&&!isMacKey&&(this.callbacks.set(key2,{callback,options}),this.allKeys.add(key2.split("+").at(-1)))}}#serialize(event2){event2.altKey&&this.buffer.push("alt"),event2.ctrlKey&&this.buffer.push("ctrl"),event2.metaKey&&this.buffer.push("meta"),event2.shiftKey&&this.buffer.push("shift"),this.buffer.push(event2.key);const str=this.
+buffer.join("+");return this.buffer.length=0,str}exec(self2,event2){if(!this.allKeys.has(event2.key))return;const info2=this.callbacks.get(this.#serialize(event2));if(!info2)return;const{callback,options:{bubbles=!1,args=[],checker=null}}=info2;checker&&!checker(self2,event2)||(callback.bind(self2,...args,event2)(),bubbles||stopEvent(event2))}}class ColorManager{static _colorsMapping=new Map([["CanvasText",[0,0,0]],["Canvas",[255,255,255]]]);get _colors(){const colors=new Map([["CanvasText",null],
+["Canvas",null]]);return getColorValues(colors),shadow(this,"_colors",colors)}convert(color){const rgb=getRGB(color);if(!window.matchMedia("(forced-colors: active)").matches)return rgb;for(const[name,RGB]of this._colors)if(RGB.every((x,i)=>x===rgb[i]))return ColorManager._colorsMapping.get(name);return rgb}getHexCode(name){const rgb=this._colors.get(name);return rgb?Util.makeHexColor(...rgb):name}}class AnnotationEditorUIManager{#abortController=new AbortController;#activeEditor=null;#allEditors=new Map;#allLayers=new Map;#altTextManager=null;#annotationStorage=null;#changedExistingAnnotations=null;#commandManager=new CommandManager;#commentManager=null;#copyPasteAC=null;#currentDrawingSession=null;#currentPageIndex=0;#deletedAnnotationsElementIds=new Set;#draggingEditors=null;#editorTypes=null;#editorsToRescale=new Set;_editorUndoBar=null;#enableHighlightFloatingButton=!1;#enableUpdatedAddImage=!1;#enableNewAltTextWhenAddingImage=!1;#filterFactory=null;#focusMainContainerTimeoutId=null;#focusManagerAC=null;#highlightColors=null;#highlightWhenShiftUp=!1;#highlightToolbar=null;#idManager=new IdManager;#isEnabled=!1;#isWaiting=!1;#keyboardManagerAC=null;#lastActiveElement=null;#mainHighlightColorPicker=null;#missingCanvases=null;#mlManager=null;#mode=AnnotationEditorType.
+NONE;#selectedEditors=new Set;#selectedTextNode=null;#signatureManager=null;#pageColors=null;#showAllStates=null;#previousStates={isEditing:!1,isEmpty:!0,hasSomethingToUndo:!1,hasSomethingToRedo:!1,hasSelectedEditor:!1,hasSelectedText:!1};#translation=[0,0];#translationTimeoutId=null;#container=null;#viewer=null;#viewerAlert=null;#updateModeCapability=null;static TRANSLATE_SMALL=1;static TRANSLATE_BIG=10;static get _keyboardManager(){const proto=AnnotationEditorUIManager.prototype,arrowChecker=self2=>self2.#container.
+contains(document.activeElement)&&document.activeElement.tagName!=="BUTTON"&&self2.hasSomethingToControl(),textInputChecker=(_self,{target:el})=>{if(el instanceof HTMLInputElement){const{type:type2}=el;return type2!=="text"&&type2!=="number"}return!0},small=this.TRANSLATE_SMALL,big=this.TRANSLATE_BIG;return shadow(this,"_keyboardManager",new KeyboardManager([[["ctrl+a","mac+meta+a"],proto.selectAll,{checker:textInputChecker}],[["ctrl+z","mac+meta+z"],proto.undo,{checker:textInputChecker}],[["ctr\
+l+y","ctrl+shift+z","mac+meta+shift+z","ctrl+shift+Z","mac+meta+shift+Z"],proto.redo,{checker:textInputChecker}],[["Backspace","alt+Backspace","ctrl+Backspace","shift+Backspace","mac+Backspace","mac+alt+Backspace","mac+ctrl+Backspace","Delete","ctrl+Delete","shift+Delete","mac+Delete"],proto.delete,{checker:textInputChecker}],[["Enter","mac+Enter"],proto.addNewEditorFromKeyboard,{checker:(self2,{target:el})=>!(el instanceof HTMLButtonElement)&&self2.#container.contains(el)&&!self2.isEnterHandled}],
+[[" ","mac+ "],proto.addNewEditorFromKeyboard,{checker:(self2,{target:el})=>!(el instanceof HTMLButtonElement)&&self2.#container.contains(document.activeElement)}],[["Escape","mac+Escape"],proto.unselectAll],[["ArrowLeft","mac+ArrowLeft"],proto.translateSelectedEditors,{args:[-small,0],checker:arrowChecker}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],proto.translateSelectedEditors,{args:[-big,0],checker:arrowChecker}],[["ArrowRight","mac+ArrowRight"],proto.translateSelectedEditors,{args:[small,0],
+checker:arrowChecker}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],proto.translateSelectedEditors,{args:[big,0],checker:arrowChecker}],[["ArrowUp","mac+ArrowUp"],proto.translateSelectedEditors,{args:[0,-small],checker:arrowChecker}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],proto.translateSelectedEditors,{args:[0,-big],checker:arrowChecker}],[["ArrowDown","mac+ArrowDown"],proto.translateSelectedEditors,{args:[0,small],checker:arrowChecker}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],proto.translateSelectedEditors,
+{args:[0,big],checker:arrowChecker}]]))}constructor(container2,viewer,viewerAlert,altTextManager,commentManager,signatureManager,eventBus,pdfDocument,pageColors,highlightColors,enableHighlightFloatingButton,enableUpdatedAddImage,enableNewAltTextWhenAddingImage,mlManager,editorUndoBar,supportsPinchToZoom){const signal=this._signal=this.#abortController.signal;this.#container=container2,this.#viewer=viewer,this.#viewerAlert=viewerAlert,this.#altTextManager=altTextManager,this.#commentManager=commentManager,
+this.#signatureManager=signatureManager,this._eventBus=eventBus,eventBus._on("editingaction",this.onEditingAction.bind(this),{signal}),eventBus._on("pagechanging",this.onPageChanging.bind(this),{signal}),eventBus._on("scalechanging",this.onScaleChanging.bind(this),{signal}),eventBus._on("rotationchanging",this.onRotationChanging.bind(this),{signal}),eventBus._on("setpreference",this.onSetPreference.bind(this),{signal}),eventBus._on("switchannotationeditorparams",evt=>this.updateParams(evt.type,evt.
+value),{signal}),this.#addSelectionListener(),this.#addDragAndDropListeners(),this.#addKeyboardManager(),this.#annotationStorage=pdfDocument.annotationStorage,this.#filterFactory=pdfDocument.filterFactory,this.#pageColors=pageColors,this.#highlightColors=highlightColors||null,this.#enableHighlightFloatingButton=enableHighlightFloatingButton,this.#enableUpdatedAddImage=enableUpdatedAddImage,this.#enableNewAltTextWhenAddingImage=enableNewAltTextWhenAddingImage,this.#mlManager=mlManager||null,this.
+viewParameters={realScale:PixelsPerInch.PDF_TO_CSS_UNITS,rotation:0},this.isShiftKeyDown=!1,this._editorUndoBar=editorUndoBar||null,this._supportsPinchToZoom=supportsPinchToZoom!==!1}destroy(){this.#updateModeCapability?.resolve(),this.#updateModeCapability=null,this.#abortController?.abort(),this.#abortController=null,this._signal=null;for(const layer of this.#allLayers.values())layer.destroy();this.#allLayers.clear(),this.#allEditors.clear(),this.#editorsToRescale.clear(),this.#missingCanvases?.
+clear(),this.#activeEditor=null,this.#selectedEditors.clear(),this.#commandManager.destroy(),this.#altTextManager?.destroy(),this.#commentManager?.destroy(),this.#signatureManager?.destroy(),this.#highlightToolbar?.hide(),this.#highlightToolbar=null,this.#mainHighlightColorPicker?.destroy(),this.#mainHighlightColorPicker=null,this.#focusMainContainerTimeoutId&&(clearTimeout(this.#focusMainContainerTimeoutId),this.#focusMainContainerTimeoutId=null),this.#translationTimeoutId&&(clearTimeout(this.#translationTimeoutId),
+this.#translationTimeoutId=null),this._editorUndoBar?.destroy()}combinedSignal(ac){return AbortSignal.any([this._signal,ac.signal])}get mlManager(){return this.#mlManager}get useNewAltTextFlow(){return this.#enableUpdatedAddImage}get useNewAltTextWhenAddingImage(){return this.#enableNewAltTextWhenAddingImage}get hcmFilter(){return shadow(this,"hcmFilter",this.#pageColors?this.#filterFactory.addHCMFilter(this.#pageColors.foreground,this.#pageColors.background):"none")}get direction(){return shadow(
+this,"direction",getComputedStyle(this.#container).direction)}get _highlightColors(){return shadow(this,"_highlightColors",this.#highlightColors?new Map(this.#highlightColors.split(",").map(pair=>(pair=pair.split("=").map(x=>x.trim()),pair[1]=pair[1].toUpperCase(),pair))):null)}get highlightColors(){const{_highlightColors}=this;if(!_highlightColors)return shadow(this,"highlightColors",null);const map2=new Map,hasHCM=!!this.#pageColors;for(const[name,color]of _highlightColors){const isNameForHCM=name.
+endsWith("_HCM");if(hasHCM&&isNameForHCM){map2.set(name.replace("_HCM",""),color);continue}!hasHCM&&!isNameForHCM&&map2.set(name,color)}return shadow(this,"highlightColors",map2)}get highlightColorNames(){return shadow(this,"highlightColorNames",this.highlightColors?new Map(Array.from(this.highlightColors,e=>e.reverse())):null)}getNonHCMColor(color){if(!this._highlightColors)return color;const colorName=this.highlightColorNames.get(color);return this._highlightColors.get(colorName)||color}getNonHCMColorName(color){
+return this.highlightColorNames.get(color)||color}setCurrentDrawingSession(layer){layer?(this.unselectAll(),this.disableUserSelect(!0)):this.disableUserSelect(!1),this.#currentDrawingSession=layer}setMainHighlightColorPicker(colorPicker){this.#mainHighlightColorPicker=colorPicker}editAltText(editor,firstTime=!1){this.#altTextManager?.editAltText(this,editor,firstTime)}hasCommentManager(){return!!this.#commentManager}editComment(editor,position2){this.#commentManager?.open(this,editor,position2)}getSignature(editor){
+this.#signatureManager?.getSignature({uiManager:this,editor})}get signatureManager(){return this.#signatureManager}switchToMode(mode,callback){this._eventBus.on("annotationeditormodechanged",callback,{once:!0,signal:this._signal}),this._eventBus.dispatch("showannotationeditorui",{source:this,mode})}setPreference(name,value){this._eventBus.dispatch("setpreference",{source:this,name,value})}onSetPreference({name,value}){switch(name){case"enableNewAltTextWhenAddingImage":this.#enableNewAltTextWhenAddingImage=
+value;break}}onPageChanging({pageNumber}){this.#currentPageIndex=pageNumber-1}focusMainContainer(){this.#container.focus()}findParent(x,y){for(const layer of this.#allLayers.values()){const{x:layerX,y:layerY,width,height}=layer.div.getBoundingClientRect();if(x>=layerX&&x<=layerX+width&&y>=layerY&&y<=layerY+height)return layer}return null}disableUserSelect(value=!1){this.#viewer.classList.toggle("noUserSelect",value)}addShouldRescale(editor){this.#editorsToRescale.add(editor)}removeShouldRescale(editor){
+this.#editorsToRescale.delete(editor)}onScaleChanging({scale:scale2}){this.commitOrRemove(),this.viewParameters.realScale=scale2*PixelsPerInch.PDF_TO_CSS_UNITS;for(const editor of this.#editorsToRescale)editor.onScaleChanging();this.#currentDrawingSession?.onScaleChanging()}onRotationChanging({pagesRotation}){this.commitOrRemove(),this.viewParameters.rotation=pagesRotation}#getAnchorElementForSelection({anchorNode}){return anchorNode.nodeType===Node.TEXT_NODE?anchorNode.parentElement:anchorNode}#getLayerForTextLayer(textLayer){
+const{currentLayer}=this;if(currentLayer.hasTextLayer(textLayer))return currentLayer;for(const layer of this.#allLayers.values())if(layer.hasTextLayer(textLayer))return layer;return null}highlightSelection(methodOfCreation=""){const selection=document.getSelection();if(!selection||selection.isCollapsed)return;const{anchorNode,anchorOffset,focusNode,focusOffset}=selection,text2=selection.toString(),textLayer=this.#getAnchorElementForSelection(selection).closest(".textLayer"),boxes=this.getSelectionBoxes(
+textLayer);if(!boxes)return;selection.empty();const layer=this.#getLayerForTextLayer(textLayer),isNoneMode=this.#mode===AnnotationEditorType.NONE,callback=()=>{layer?.createAndAddNewEditor({x:0,y:0},!1,{methodOfCreation,boxes,anchorNode,anchorOffset,focusNode,focusOffset,text:text2}),isNoneMode&&this.showAllEditors("highlight",!0,!0)};if(isNoneMode){this.switchToMode(AnnotationEditorType.HIGHLIGHT,callback);return}callback()}#displayHighlightToolbar(){const selection=document.getSelection();if(!selection||
+selection.isCollapsed)return;const textLayer=this.#getAnchorElementForSelection(selection).closest(".textLayer"),boxes=this.getSelectionBoxes(textLayer);boxes&&(this.#highlightToolbar||=new HighlightToolbar(this),this.#highlightToolbar.show(textLayer,boxes,this.direction==="ltr"))}addToAnnotationStorage(editor){!editor.isEmpty()&&this.#annotationStorage&&!this.#annotationStorage.has(editor.id)&&this.#annotationStorage.setValue(editor.id,editor)}a11yAlert(messageId,args=null){const viewerAlert=this.#viewerAlert;
+viewerAlert&&(viewerAlert.setAttribute("data-l10n-id",messageId),args?viewerAlert.setAttribute("data-l10n-args",JSON.stringify(args)):viewerAlert.removeAttribute("data-l10n-args"))}#selectionChange(){const selection=document.getSelection();if(!selection||selection.isCollapsed){this.#selectedTextNode&&(this.#highlightToolbar?.hide(),this.#selectedTextNode=null,this.#dispatchUpdateStates({hasSelectedText:!1}));return}const{anchorNode}=selection;if(anchorNode===this.#selectedTextNode)return;const textLayer=this.#getAnchorElementForSelection(
+selection).closest(".textLayer");if(!textLayer){this.#selectedTextNode&&(this.#highlightToolbar?.hide(),this.#selectedTextNode=null,this.#dispatchUpdateStates({hasSelectedText:!1}));return}if(this.#highlightToolbar?.hide(),this.#selectedTextNode=anchorNode,this.#dispatchUpdateStates({hasSelectedText:!0}),!(this.#mode!==AnnotationEditorType.HIGHLIGHT&&this.#mode!==AnnotationEditorType.NONE)&&(this.#mode===AnnotationEditorType.HIGHLIGHT&&this.showAllEditors("highlight",!0,!0),this.#highlightWhenShiftUp=
+this.isShiftKeyDown,!this.isShiftKeyDown)){const activeLayer=this.#mode===AnnotationEditorType.HIGHLIGHT?this.#getLayerForTextLayer(textLayer):null;activeLayer?.toggleDrawing();const ac=new AbortController,signal=this.combinedSignal(ac),pointerup=e=>{e.type==="pointerup"&&e.button!==0||(ac.abort(),activeLayer?.toggleDrawing(!0),e.type==="pointerup"&&this.#onSelectEnd("main_toolbar"))};window.addEventListener("pointerup",pointerup,{signal}),window.addEventListener("blur",pointerup,{signal})}}#onSelectEnd(methodOfCreation=""){
+this.#mode===AnnotationEditorType.HIGHLIGHT?this.highlightSelection(methodOfCreation):this.#enableHighlightFloatingButton&&this.#displayHighlightToolbar()}#addSelectionListener(){document.addEventListener("selectionchange",this.#selectionChange.bind(this),{signal:this._signal})}#addFocusManager(){if(this.#focusManagerAC)return;this.#focusManagerAC=new AbortController;const signal=this.combinedSignal(this.#focusManagerAC);window.addEventListener("focus",this.focus.bind(this),{signal}),window.addEventListener(
+"blur",this.blur.bind(this),{signal})}#removeFocusManager(){this.#focusManagerAC?.abort(),this.#focusManagerAC=null}blur(){if(this.isShiftKeyDown=!1,this.#highlightWhenShiftUp&&(this.#highlightWhenShiftUp=!1,this.#onSelectEnd("main_toolbar")),!this.hasSelection)return;const{activeElement}=document;for(const editor of this.#selectedEditors)if(editor.div.contains(activeElement)){this.#lastActiveElement=[editor,activeElement],editor._focusEventsAllowed=!1;break}}focus(){if(!this.#lastActiveElement)
+return;const[lastEditor,lastActiveElement]=this.#lastActiveElement;this.#lastActiveElement=null,lastActiveElement.addEventListener("focusin",()=>{lastEditor._focusEventsAllowed=!0},{once:!0,signal:this._signal}),lastActiveElement.focus()}#addKeyboardManager(){if(this.#keyboardManagerAC)return;this.#keyboardManagerAC=new AbortController;const signal=this.combinedSignal(this.#keyboardManagerAC);window.addEventListener("keydown",this.keydown.bind(this),{signal}),window.addEventListener("keyup",this.
+keyup.bind(this),{signal})}#removeKeyboardManager(){this.#keyboardManagerAC?.abort(),this.#keyboardManagerAC=null}#addCopyPasteListeners(){if(this.#copyPasteAC)return;this.#copyPasteAC=new AbortController;const signal=this.combinedSignal(this.#copyPasteAC);document.addEventListener("copy",this.copy.bind(this),{signal}),document.addEventListener("cut",this.cut.bind(this),{signal}),document.addEventListener("paste",this.paste.bind(this),{signal})}#removeCopyPasteListeners(){this.#copyPasteAC?.abort(),
+this.#copyPasteAC=null}#addDragAndDropListeners(){const signal=this._signal;document.addEventListener("dragover",this.dragOver.bind(this),{signal}),document.addEventListener("drop",this.drop.bind(this),{signal})}addEditListeners(){this.#addKeyboardManager(),this.#addCopyPasteListeners()}removeEditListeners(){this.#removeKeyboardManager(),this.#removeCopyPasteListeners()}dragOver(event2){for(const{type:type2}of event2.dataTransfer.items)for(const editorType of this.#editorTypes)if(editorType.isHandlingMimeForPasting(
+type2)){event2.dataTransfer.dropEffect="copy",event2.preventDefault();return}}drop(event2){for(const item of event2.dataTransfer.items)for(const editorType of this.#editorTypes)if(editorType.isHandlingMimeForPasting(item.type)){editorType.paste(item,this.currentLayer),event2.preventDefault();return}}copy(event2){if(event2.preventDefault(),this.#activeEditor?.commitOrRemove(),!this.hasSelection)return;const editors=[];for(const editor of this.#selectedEditors){const serialized=editor.serialize(!0);
+serialized&&editors.push(serialized)}editors.length!==0&&event2.clipboardData.setData("application/pdfjs",JSON.stringify(editors))}cut(event2){this.copy(event2),this.delete()}async paste(event2){event2.preventDefault();const{clipboardData}=event2;for(const item of clipboardData.items)for(const editorType of this.#editorTypes)if(editorType.isHandlingMimeForPasting(item.type)){editorType.paste(item,this.currentLayer);return}let data=clipboardData.getData("application/pdfjs");if(!data)return;try{data=
+JSON.parse(data)}catch(ex){warn(`paste: "${ex.message}".`);return}if(!Array.isArray(data))return;this.unselectAll();const layer=this.currentLayer;try{const newEditors=[];for(const editor of data){const deserializedEditor=await layer.deserialize(editor);if(!deserializedEditor)return;newEditors.push(deserializedEditor)}const cmd=()=>{for(const editor of newEditors)this.#addEditorToLayer(editor);this.#selectEditors(newEditors)},undo=()=>{for(const editor of newEditors)editor.remove()};this.addCommands(
+{cmd,undo,mustExec:!0})}catch(ex){warn(`paste: "${ex.message}".`)}}keydown(event2){!this.isShiftKeyDown&&event2.key==="Shift"&&(this.isShiftKeyDown=!0),this.#mode!==AnnotationEditorType.NONE&&!this.isEditorHandlingKeyboard&&AnnotationEditorUIManager._keyboardManager.exec(this,event2)}keyup(event2){this.isShiftKeyDown&&event2.key==="Shift"&&(this.isShiftKeyDown=!1,this.#highlightWhenShiftUp&&(this.#highlightWhenShiftUp=!1,this.#onSelectEnd("main_toolbar")))}onEditingAction({name}){switch(name){case"\
+undo":case"redo":case"delete":case"selectAll":this[name]();break;case"highlightSelection":this.highlightSelection("context_menu");break}}#dispatchUpdateStates(details){Object.entries(details).some(([key2,value])=>this.#previousStates[key2]!==value)&&(this._eventBus.dispatch("annotationeditorstateschanged",{source:this,details:Object.assign(this.#previousStates,details)}),this.#mode===AnnotationEditorType.HIGHLIGHT&&details.hasSelectedEditor===!1&&this.#dispatchUpdateUI([[AnnotationEditorParamsType.
+HIGHLIGHT_FREE,!0]]))}#dispatchUpdateUI(details){this._eventBus.dispatch("annotationeditorparamschanged",{source:this,details})}setEditingState(isEditing2){isEditing2?(this.#addFocusManager(),this.#addCopyPasteListeners(),this.#dispatchUpdateStates({isEditing:this.#mode!==AnnotationEditorType.NONE,isEmpty:this.#isEmpty(),hasSomethingToUndo:this.#commandManager.hasSomethingToUndo(),hasSomethingToRedo:this.#commandManager.hasSomethingToRedo(),hasSelectedEditor:!1})):(this.#removeFocusManager(),this.#removeCopyPasteListeners(),
+this.#dispatchUpdateStates({isEditing:!1}),this.disableUserSelect(!1))}registerEditorTypes(types2){if(!this.#editorTypes){this.#editorTypes=types2;for(const editorType of this.#editorTypes)this.#dispatchUpdateUI(editorType.defaultPropertiesToUpdate)}}getId(){return this.#idManager.id}get currentLayer(){return this.#allLayers.get(this.#currentPageIndex)}getLayer(pageIndex){return this.#allLayers.get(pageIndex)}get currentPageIndex(){return this.#currentPageIndex}addLayer(layer){this.#allLayers.set(
+layer.pageIndex,layer),this.#isEnabled?layer.enable():layer.disable()}removeLayer(layer){this.#allLayers.delete(layer.pageIndex)}async updateMode(mode,editId=null,isFromKeyboard=!1,mustEnterInEditMode=!1,editComment=!1){if(this.#mode!==mode&&!(this.#updateModeCapability&&(await this.#updateModeCapability.promise,!this.#updateModeCapability))){if(this.#updateModeCapability=Promise.withResolvers(),this.#currentDrawingSession?.commitOrRemove(),this.#mode=mode,mode===AnnotationEditorType.NONE){this.
+setEditingState(!1),this.#disableAll(),this._editorUndoBar?.hide(),this.#updateModeCapability.resolve();return}mode===AnnotationEditorType.SIGNATURE&&await this.#signatureManager?.loadSignatures(),this.setEditingState(!0),await this.#enableAll(),this.unselectAll();for(const layer of this.#allLayers.values())layer.updateMode(mode);if(!editId){isFromKeyboard&&this.addNewEditorFromKeyboard(),this.#updateModeCapability.resolve();return}for(const editor of this.#allEditors.values())editor.annotationElementId===
+editId||editor.id===editId?(this.setSelected(editor),editComment?editor.editComment():mustEnterInEditMode&&editor.enterInEditMode()):editor.unselect();this.#updateModeCapability.resolve()}}addNewEditorFromKeyboard(){this.currentLayer.canCreateNewEmptyEditor()&&this.currentLayer.addNewEditor()}updateToolbar(options){options.mode!==this.#mode&&this._eventBus.dispatch("switchannotationeditormode",{source:this,...options})}updateParams(type2,value){if(this.#editorTypes){switch(type2){case AnnotationEditorParamsType.
+CREATE:this.currentLayer.addNewEditor(value);return;case AnnotationEditorParamsType.HIGHLIGHT_SHOW_ALL:this._eventBus.dispatch("reporttelemetry",{source:this,details:{type:"editing",data:{type:"highlight",action:"toggle_visibility"}}}),(this.#showAllStates||=new Map).set(type2,value),this.showAllEditors("highlight",value);break}if(this.hasSelection)for(const editor of this.#selectedEditors)editor.updateParams(type2,value);else for(const editorType of this.#editorTypes)editorType.updateDefaultParams(
+type2,value)}}showAllEditors(type2,visible,updateButton=!1){for(const editor of this.#allEditors.values())editor.editorType===type2&&editor.show(visible);(this.#showAllStates?.get(AnnotationEditorParamsType.HIGHLIGHT_SHOW_ALL)??!0)!==visible&&this.#dispatchUpdateUI([[AnnotationEditorParamsType.HIGHLIGHT_SHOW_ALL,visible]])}enableWaiting(mustWait=!1){if(this.#isWaiting!==mustWait){this.#isWaiting=mustWait;for(const layer of this.#allLayers.values())mustWait?layer.disableClick():layer.enableClick(),
+layer.div.classList.toggle("waiting",mustWait)}}async#enableAll(){if(!this.#isEnabled){this.#isEnabled=!0;const promises=[];for(const layer of this.#allLayers.values())promises.push(layer.enable());await Promise.all(promises);for(const editor of this.#allEditors.values())editor.enable()}}#disableAll(){if(this.unselectAll(),this.#isEnabled){this.#isEnabled=!1;for(const layer of this.#allLayers.values())layer.disable();for(const editor of this.#allEditors.values())editor.disable()}}getEditors(pageIndex){
+const editors=[];for(const editor of this.#allEditors.values())editor.pageIndex===pageIndex&&editors.push(editor);return editors}getEditor(id2){return this.#allEditors.get(id2)}addEditor(editor){this.#allEditors.set(editor.id,editor)}removeEditor(editor){editor.div.contains(document.activeElement)&&(this.#focusMainContainerTimeoutId&&clearTimeout(this.#focusMainContainerTimeoutId),this.#focusMainContainerTimeoutId=setTimeout(()=>{this.focusMainContainer(),this.#focusMainContainerTimeoutId=null},
+0)),this.#allEditors.delete(editor.id),editor.annotationElementId&&this.#missingCanvases?.delete(editor.annotationElementId),this.unselect(editor),(!editor.annotationElementId||!this.#deletedAnnotationsElementIds.has(editor.annotationElementId))&&this.#annotationStorage?.remove(editor.id)}addDeletedAnnotationElement(editor){this.#deletedAnnotationsElementIds.add(editor.annotationElementId),this.addChangedExistingAnnotation(editor),editor.deleted=!0}isDeletedAnnotationElement(annotationElementId){
+return this.#deletedAnnotationsElementIds.has(annotationElementId)}removeDeletedAnnotationElement(editor){this.#deletedAnnotationsElementIds.delete(editor.annotationElementId),this.removeChangedExistingAnnotation(editor),editor.deleted=!1}#addEditorToLayer(editor){const layer=this.#allLayers.get(editor.pageIndex);layer?layer.addOrRebuild(editor):(this.addEditor(editor),this.addToAnnotationStorage(editor))}setActiveEditor(editor){this.#activeEditor!==editor&&(this.#activeEditor=editor,editor&&this.#dispatchUpdateUI(
+editor.propertiesToUpdate))}get#lastSelectedEditor(){let ed=null;for(ed of this.#selectedEditors);return ed}updateUI(editor){this.#lastSelectedEditor===editor&&this.#dispatchUpdateUI(editor.propertiesToUpdate)}updateUIForDefaultProperties(editorType){this.#dispatchUpdateUI(editorType.defaultPropertiesToUpdate)}toggleSelected(editor){if(this.#selectedEditors.has(editor)){this.#selectedEditors.delete(editor),editor.unselect(),this.#dispatchUpdateStates({hasSelectedEditor:this.hasSelection});return}
+this.#selectedEditors.add(editor),editor.select(),this.#dispatchUpdateUI(editor.propertiesToUpdate),this.#dispatchUpdateStates({hasSelectedEditor:!0})}setSelected(editor){this.updateToolbar({mode:editor.mode,editId:editor.id}),this.#currentDrawingSession?.commitOrRemove();for(const ed of this.#selectedEditors)ed!==editor&&ed.unselect();this.#selectedEditors.clear(),this.#selectedEditors.add(editor),editor.select(),this.#dispatchUpdateUI(editor.propertiesToUpdate),this.#dispatchUpdateStates({hasSelectedEditor:!0})}isSelected(editor){
+return this.#selectedEditors.has(editor)}get firstSelectedEditor(){return this.#selectedEditors.values().next().value}unselect(editor){editor.unselect(),this.#selectedEditors.delete(editor),this.#dispatchUpdateStates({hasSelectedEditor:this.hasSelection})}get hasSelection(){return this.#selectedEditors.size!==0}get isEnterHandled(){return this.#selectedEditors.size===1&&this.firstSelectedEditor.isEnterHandled}undo(){this.#commandManager.undo(),this.#dispatchUpdateStates({hasSomethingToUndo:this.#commandManager.
+hasSomethingToUndo(),hasSomethingToRedo:!0,isEmpty:this.#isEmpty()}),this._editorUndoBar?.hide()}redo(){this.#commandManager.redo(),this.#dispatchUpdateStates({hasSomethingToUndo:!0,hasSomethingToRedo:this.#commandManager.hasSomethingToRedo(),isEmpty:this.#isEmpty()})}addCommands(params){this.#commandManager.add(params),this.#dispatchUpdateStates({hasSomethingToUndo:!0,hasSomethingToRedo:!1,isEmpty:this.#isEmpty()})}cleanUndoStack(type2){this.#commandManager.cleanType(type2)}#isEmpty(){if(this.#allEditors.
+size===0)return!0;if(this.#allEditors.size===1)for(const editor of this.#allEditors.values())return editor.isEmpty();return!1}delete(){this.commitOrRemove();const drawingEditor=this.currentLayer?.endDrawingSession(!0);if(!this.hasSelection&&!drawingEditor)return;const editors=drawingEditor?[drawingEditor]:[...this.#selectedEditors],cmd=()=>{this._editorUndoBar?.show(undo,editors.length===1?editors[0].editorType:editors.length);for(const editor of editors)editor.remove()},undo=()=>{for(const editor of editors)
+this.#addEditorToLayer(editor)};this.addCommands({cmd,undo,mustExec:!0})}commitOrRemove(){this.#activeEditor?.commitOrRemove()}hasSomethingToControl(){return this.#activeEditor||this.hasSelection}#selectEditors(editors){for(const editor of this.#selectedEditors)editor.unselect();this.#selectedEditors.clear();for(const editor of editors)editor.isEmpty()||(this.#selectedEditors.add(editor),editor.select());this.#dispatchUpdateStates({hasSelectedEditor:this.hasSelection})}selectAll(){for(const editor of this.#selectedEditors)
+editor.commit();this.#selectEditors(this.#allEditors.values())}unselectAll(){if(!(this.#activeEditor&&(this.#activeEditor.commitOrRemove(),this.#mode!==AnnotationEditorType.NONE))&&!this.#currentDrawingSession?.commitOrRemove()&&this.hasSelection){for(const editor of this.#selectedEditors)editor.unselect();this.#selectedEditors.clear(),this.#dispatchUpdateStates({hasSelectedEditor:!1})}}translateSelectedEditors(x,y,noCommit=!1){if(noCommit||this.commitOrRemove(),!this.hasSelection)return;this.#translation[0]+=
+x,this.#translation[1]+=y;const[totalX,totalY]=this.#translation,editors=[...this.#selectedEditors],TIME_TO_WAIT=1e3;this.#translationTimeoutId&&clearTimeout(this.#translationTimeoutId),this.#translationTimeoutId=setTimeout(()=>{this.#translationTimeoutId=null,this.#translation[0]=this.#translation[1]=0,this.addCommands({cmd:()=>{for(const editor of editors)this.#allEditors.has(editor.id)&&(editor.translateInPage(totalX,totalY),editor.translationDone())},undo:()=>{for(const editor of editors)this.#allEditors.
+has(editor.id)&&(editor.translateInPage(-totalX,-totalY),editor.translationDone())},mustExec:!1})},TIME_TO_WAIT);for(const editor of editors)editor.translateInPage(x,y),editor.translationDone()}setUpDragSession(){if(this.hasSelection){this.disableUserSelect(!0),this.#draggingEditors=new Map;for(const editor of this.#selectedEditors)this.#draggingEditors.set(editor,{savedX:editor.x,savedY:editor.y,savedPageIndex:editor.pageIndex,newX:0,newY:0,newPageIndex:-1})}}endDragSession(){if(!this.#draggingEditors)
+return!1;this.disableUserSelect(!1);const map2=this.#draggingEditors;this.#draggingEditors=null;let mustBeAddedInUndoStack=!1;for(const[{x,y,pageIndex},value]of map2)value.newX=x,value.newY=y,value.newPageIndex=pageIndex,mustBeAddedInUndoStack||=x!==value.savedX||y!==value.savedY||pageIndex!==value.savedPageIndex;if(!mustBeAddedInUndoStack)return!1;const move2=(editor,x,y,pageIndex)=>{if(this.#allEditors.has(editor.id)){const parent=this.#allLayers.get(pageIndex);parent?editor._setParentAndPosition(
+parent,x,y):(editor.pageIndex=pageIndex,editor.x=x,editor.y=y)}};return this.addCommands({cmd:()=>{for(const[editor,{newX,newY,newPageIndex}]of map2)move2(editor,newX,newY,newPageIndex)},undo:()=>{for(const[editor,{savedX,savedY,savedPageIndex}]of map2)move2(editor,savedX,savedY,savedPageIndex)},mustExec:!0}),!0}dragSelectedEditors(tx,ty){if(this.#draggingEditors)for(const editor of this.#draggingEditors.keys())editor.drag(tx,ty)}rebuild(editor){if(editor.parent===null){const parent=this.getLayer(
+editor.pageIndex);parent?(parent.changeParent(editor),parent.addOrRebuild(editor)):(this.addEditor(editor),this.addToAnnotationStorage(editor),editor.rebuild())}else editor.parent.addOrRebuild(editor)}get isEditorHandlingKeyboard(){return this.getActive()?.shouldGetKeyboardEvents()||this.#selectedEditors.size===1&&this.firstSelectedEditor.shouldGetKeyboardEvents()}isActive(editor){return this.#activeEditor===editor}getActive(){return this.#activeEditor}getMode(){return this.#mode}get imageManager(){
+return shadow(this,"imageManager",new ImageManager)}getSelectionBoxes(textLayer){if(!textLayer)return null;const selection=document.getSelection();for(let i=0,ii=selection.rangeCount;i<ii;i++)if(!textLayer.contains(selection.getRangeAt(i).commonAncestorContainer))return null;const{x:layerX,y:layerY,width:parentWidth,height:parentHeight}=textLayer.getBoundingClientRect();let rotator;switch(textLayer.getAttribute("data-main-rotation")){case"90":rotator=(x,y,w,h2)=>({x:(y-layerY)/parentHeight,y:1-(x+
+w-layerX)/parentWidth,width:h2/parentHeight,height:w/parentWidth});break;case"180":rotator=(x,y,w,h2)=>({x:1-(x+w-layerX)/parentWidth,y:1-(y+h2-layerY)/parentHeight,width:w/parentWidth,height:h2/parentHeight});break;case"270":rotator=(x,y,w,h2)=>({x:1-(y+h2-layerY)/parentHeight,y:(x-layerX)/parentWidth,width:h2/parentHeight,height:w/parentWidth});break;default:rotator=(x,y,w,h2)=>({x:(x-layerX)/parentWidth,y:(y-layerY)/parentHeight,width:w/parentWidth,height:h2/parentHeight});break}const boxes=[];
+for(let i=0,ii=selection.rangeCount;i<ii;i++){const range=selection.getRangeAt(i);if(!range.collapsed)for(const{x,y,width,height}of range.getClientRects())width===0||height===0||boxes.push(rotator(x,y,width,height))}return boxes.length===0?null:boxes}addChangedExistingAnnotation({annotationElementId,id:id2}){(this.#changedExistingAnnotations||=new Map).set(annotationElementId,id2)}removeChangedExistingAnnotation({annotationElementId}){this.#changedExistingAnnotations?.delete(annotationElementId)}renderAnnotationElement(annotation){
+const editorId=this.#changedExistingAnnotations?.get(annotation.data.id);if(!editorId)return;const editor=this.#annotationStorage.getRawValue(editorId);editor&&(this.#mode===AnnotationEditorType.NONE&&!editor.hasBeenModified||editor.renderAnnotationElement(annotation))}setMissingCanvas(annotationId,annotationElementId,canvas){const editor=this.#missingCanvases?.get(annotationId);editor&&(editor.setCanvas(annotationElementId,canvas),this.#missingCanvases.delete(annotationId))}addMissingCanvas(annotationId,editor){
+(this.#missingCanvases||=new Map).set(annotationId,editor)}}class AltText{#altText=null;#altTextDecorative=!1;#altTextButton=null;#altTextButtonLabel=null;#altTextTooltip=null;#altTextTooltipTimeout=null;#altTextWasFromKeyBoard=!1;#badge=null;#editor=null;#guessedText=null;#textWithDisclaimer=null;#useNewAltTextFlow=!1;static#l10nNewButton=null;static _l10n=null;constructor(editor){this.#editor=editor,this.#useNewAltTextFlow=editor._uiManager.useNewAltTextFlow,AltText.#l10nNewButton||=Object.freeze(
+{added:"pdfjs-editor-new-alt-text-added-button","added-label":"pdfjs-editor-new-alt-text-added-button-label",missing:"pdfjs-editor-new-alt-text-missing-button","missing-label":"pdfjs-editor-new-alt-text-missing-button-label",review:"pdfjs-editor-new-alt-text-to-review-button","review-label":"pdfjs-editor-new-alt-text-to-review-button-label"})}static initialize(l10n){AltText._l10n??=l10n}async render(){const altText=this.#altTextButton=document.createElement("button");altText.className="altText",
+altText.tabIndex="0";const label=this.#altTextButtonLabel=document.createElement("span");altText.append(label),this.#useNewAltTextFlow?(altText.classList.add("new"),altText.setAttribute("data-l10n-id",AltText.#l10nNewButton.missing),label.setAttribute("data-l10n-id",AltText.#l10nNewButton["missing-label"])):(altText.setAttribute("data-l10n-id","pdfjs-editor-alt-text-button"),label.setAttribute("data-l10n-id","pdfjs-editor-alt-text-button-label"));const signal=this.#editor._uiManager._signal;altText.
+addEventListener("contextmenu",noContextMenu,{signal}),altText.addEventListener("pointerdown",event2=>event2.stopPropagation(),{signal});const onClick=event2=>{event2.preventDefault(),this.#editor._uiManager.editAltText(this.#editor),this.#useNewAltTextFlow&&this.#editor._reportTelemetry({action:"pdfjs.image.alt_text.image_status_label_clicked",data:{label:this.#label}})};return altText.addEventListener("click",onClick,{capture:!0,signal}),altText.addEventListener("keydown",event2=>{event2.target===
+altText&&event2.key==="Enter"&&(this.#altTextWasFromKeyBoard=!0,onClick(event2))},{signal}),await this.#setState(),altText}get#label(){return this.#altText&&"added"||this.#altText===null&&this.guessedText&&"review"||"missing"}finish(){this.#altTextButton&&(this.#altTextButton.focus({focusVisible:this.#altTextWasFromKeyBoard}),this.#altTextWasFromKeyBoard=!1)}isEmpty(){return this.#useNewAltTextFlow?this.#altText===null:!this.#altText&&!this.#altTextDecorative}hasData(){return this.#useNewAltTextFlow?
+this.#altText!==null||!!this.#guessedText:this.isEmpty()}get guessedText(){return this.#guessedText}async setGuessedText(guessedText){this.#altText===null&&(this.#guessedText=guessedText,this.#textWithDisclaimer=await AltText._l10n.get("pdfjs-editor-new-alt-text-generated-alt-text-with-disclaimer",{generatedAltText:guessedText}),this.#setState())}toggleAltTextBadge(visibility=!1){if(!this.#useNewAltTextFlow||this.#altText){this.#badge?.remove(),this.#badge=null;return}if(!this.#badge){const badge=this.#badge=
+document.createElement("div");badge.className="noAltTextBadge",this.#editor.div.append(badge)}this.#badge.classList.toggle("hidden",!visibility)}serialize(isForCopying){let altText=this.#altText;return!isForCopying&&this.#guessedText===altText&&(altText=this.#textWithDisclaimer),{altText,decorative:this.#altTextDecorative,guessedText:this.#guessedText,textWithDisclaimer:this.#textWithDisclaimer}}get data(){return{altText:this.#altText,decorative:this.#altTextDecorative}}set data({altText,decorative,
+guessedText,textWithDisclaimer,cancel=!1}){guessedText&&(this.#guessedText=guessedText,this.#textWithDisclaimer=textWithDisclaimer),!(this.#altText===altText&&this.#altTextDecorative===decorative)&&(cancel||(this.#altText=altText,this.#altTextDecorative=decorative),this.#setState())}toggle(enabled=!1){this.#altTextButton&&(!enabled&&this.#altTextTooltipTimeout&&(clearTimeout(this.#altTextTooltipTimeout),this.#altTextTooltipTimeout=null),this.#altTextButton.disabled=!enabled)}shown(){this.#editor.
+_reportTelemetry({action:"pdfjs.image.alt_text.image_status_label_displayed",data:{label:this.#label}})}destroy(){this.#altTextButton?.remove(),this.#altTextButton=null,this.#altTextButtonLabel=null,this.#altTextTooltip=null,this.#badge?.remove(),this.#badge=null}async#setState(){const button=this.#altTextButton;if(!button)return;if(this.#useNewAltTextFlow){if(button.classList.toggle("done",!!this.#altText),button.setAttribute("data-l10n-id",AltText.#l10nNewButton[this.#label]),this.#altTextButtonLabel?.
+setAttribute("data-l10n-id",AltText.#l10nNewButton[`${this.#label}-label`]),!this.#altText){this.#altTextTooltip?.remove();return}}else{if(!this.#altText&&!this.#altTextDecorative){button.classList.remove("done"),this.#altTextTooltip?.remove();return}button.classList.add("done"),button.setAttribute("data-l10n-id","pdfjs-editor-alt-text-edit-button")}let tooltip=this.#altTextTooltip;if(!tooltip){this.#altTextTooltip=tooltip=document.createElement("span"),tooltip.className="tooltip",tooltip.setAttribute(
+"role","tooltip"),tooltip.id=`alt-text-tooltip-${this.#editor.id}`;const DELAY_TO_SHOW_TOOLTIP=100,signal=this.#editor._uiManager._signal;signal.addEventListener("abort",()=>{clearTimeout(this.#altTextTooltipTimeout),this.#altTextTooltipTimeout=null},{once:!0}),button.addEventListener("mouseenter",()=>{this.#altTextTooltipTimeout=setTimeout(()=>{this.#altTextTooltipTimeout=null,this.#altTextTooltip.classList.add("show"),this.#editor._reportTelemetry({action:"alt_text_tooltip"})},DELAY_TO_SHOW_TOOLTIP)},
+{signal}),button.addEventListener("mouseleave",()=>{this.#altTextTooltipTimeout&&(clearTimeout(this.#altTextTooltipTimeout),this.#altTextTooltipTimeout=null),this.#altTextTooltip?.classList.remove("show")},{signal})}this.#altTextDecorative?tooltip.setAttribute("data-l10n-id","pdfjs-editor-alt-text-decorative-tooltip"):(tooltip.removeAttribute("data-l10n-id"),tooltip.textContent=this.#altText),tooltip.parentNode||button.append(tooltip),this.#editor.getElementForAltText()?.setAttribute("aria-descr\
+ibedby",tooltip.id)}}let Comment$1=class{#commentButton=null;#commentWasFromKeyBoard=!1;#editor=null;#initialText=null;#text=null;#date=null;#deleted=!1;constructor(editor){this.#editor=editor,this.toolbar=null}render(){if(!this.#editor._uiManager.hasCommentManager())return null;const comment2=this.#commentButton=document.createElement("button");comment2.className="comment",comment2.tabIndex="0",comment2.setAttribute("data-l10n-id","pdfjs-editor-edit-comment-button");const signal=this.#editor._uiManager.
+_signal;comment2.addEventListener("contextmenu",noContextMenu,{signal}),comment2.addEventListener("pointerdown",event2=>event2.stopPropagation(),{signal});const onClick=event2=>{event2.preventDefault(),this.edit()};return comment2.addEventListener("click",onClick,{capture:!0,signal}),comment2.addEventListener("keydown",event2=>{event2.target===comment2&&event2.key==="Enter"&&(this.#commentWasFromKeyBoard=!0,onClick(event2))},{signal}),comment2}edit(){const{bottom,left,right}=this.#editor.getClientDimensions(),
+position2={top:bottom};this.#editor._uiManager.direction==="ltr"?position2.right=right:position2.left=left,this.#editor._uiManager.editComment(this.#editor,position2)}finish(){this.#commentButton&&(this.#commentButton.focus({focusVisible:this.#commentWasFromKeyBoard}),this.#commentWasFromKeyBoard=!1)}isDeleted(){return this.#deleted||this.#text===""}hasBeenEdited(){return this.isDeleted()||this.#text!==this.#initialText}serialize(){return this.data}get data(){return{text:this.#text,date:this.#date,
+deleted:this.#deleted}}set data(text2){if(text2===null){this.#text="",this.#deleted=!0;return}this.#text=text2,this.#date=new Date,this.#deleted=!1}setInitialText(text2){this.#initialText=text2,this.data=text2}toggle(enabled=!1){this.#commentButton&&(this.#commentButton.disabled=!enabled)}shown(){}destroy(){this.#commentButton?.remove(),this.#commentButton=null,this.#text="",this.#date=null,this.#editor=null,this.#commentWasFromKeyBoard=!1,this.#deleted=!1}};class TouchManager{#container;#isPinching=!1;#isPinchingStopped=null;#isPinchingDisabled;#onPinchStart;#onPinching;#onPinchEnd;#pointerDownAC=null;#signal;#touchInfo=null;#touchManagerAC;#touchMoveAC=null;constructor({
+container:container2,isPinchingDisabled=null,isPinchingStopped=null,onPinchStart=null,onPinching=null,onPinchEnd=null,signal}){this.#container=container2,this.#isPinchingStopped=isPinchingStopped,this.#isPinchingDisabled=isPinchingDisabled,this.#onPinchStart=onPinchStart,this.#onPinching=onPinching,this.#onPinchEnd=onPinchEnd,this.#touchManagerAC=new AbortController,this.#signal=AbortSignal.any([signal,this.#touchManagerAC.signal]),container2.addEventListener("touchstart",this.#onTouchStart.bind(
+this),{passive:!1,signal:this.#signal})}get MIN_TOUCH_DISTANCE_TO_PINCH(){return 35/OutputScale.pixelRatio}#onTouchStart(evt){if(this.#isPinchingDisabled?.())return;if(evt.touches.length===1){if(this.#pointerDownAC)return;const pointerDownAC=this.#pointerDownAC=new AbortController,signal=AbortSignal.any([this.#signal,pointerDownAC.signal]),container2=this.#container,opts={capture:!0,signal,passive:!1},cancelPointerDown=e=>{e.pointerType==="touch"&&(this.#pointerDownAC?.abort(),this.#pointerDownAC=
+null)};container2.addEventListener("pointerdown",e=>{e.pointerType==="touch"&&(stopEvent(e),cancelPointerDown(e))},opts),container2.addEventListener("pointerup",cancelPointerDown,opts),container2.addEventListener("pointercancel",cancelPointerDown,opts);return}if(!this.#touchMoveAC){this.#touchMoveAC=new AbortController;const signal=AbortSignal.any([this.#signal,this.#touchMoveAC.signal]),container2=this.#container,opt={signal,capture:!1,passive:!1};container2.addEventListener("touchmove",this.#onTouchMove.
+bind(this),opt);const onTouchEnd=this.#onTouchEnd.bind(this);container2.addEventListener("touchend",onTouchEnd,opt),container2.addEventListener("touchcancel",onTouchEnd,opt),opt.capture=!0,container2.addEventListener("pointerdown",stopEvent,opt),container2.addEventListener("pointermove",stopEvent,opt),container2.addEventListener("pointercancel",stopEvent,opt),container2.addEventListener("pointerup",stopEvent,opt),this.#onPinchStart?.()}if(stopEvent(evt),evt.touches.length!==2||this.#isPinchingStopped?.()){
+this.#touchInfo=null;return}let[touch0,touch1]=evt.touches;touch0.identifier>touch1.identifier&&([touch0,touch1]=[touch1,touch0]),this.#touchInfo={touch0X:touch0.screenX,touch0Y:touch0.screenY,touch1X:touch1.screenX,touch1Y:touch1.screenY}}#onTouchMove(evt){if(!this.#touchInfo||evt.touches.length!==2)return;stopEvent(evt);let[touch0,touch1]=evt.touches;touch0.identifier>touch1.identifier&&([touch0,touch1]=[touch1,touch0]);const{screenX:screen0X,screenY:screen0Y}=touch0,{screenX:screen1X,screenY:screen1Y}=touch1,
+touchInfo=this.#touchInfo,{touch0X:pTouch0X,touch0Y:pTouch0Y,touch1X:pTouch1X,touch1Y:pTouch1Y}=touchInfo,prevGapX=pTouch1X-pTouch0X,prevGapY=pTouch1Y-pTouch0Y,currGapX=screen1X-screen0X,currGapY=screen1Y-screen0Y,distance=Math.hypot(currGapX,currGapY)||1,pDistance=Math.hypot(prevGapX,prevGapY)||1;if(!this.#isPinching&&Math.abs(pDistance-distance)<=TouchManager.MIN_TOUCH_DISTANCE_TO_PINCH)return;if(touchInfo.touch0X=screen0X,touchInfo.touch0Y=screen0Y,touchInfo.touch1X=screen1X,touchInfo.touch1Y=
+screen1Y,!this.#isPinching){this.#isPinching=!0;return}const origin2=[(screen0X+screen1X)/2,(screen0Y+screen1Y)/2];this.#onPinching?.(origin2,pDistance,distance)}#onTouchEnd(evt){evt.touches.length>=2||(this.#touchMoveAC&&(this.#touchMoveAC.abort(),this.#touchMoveAC=null,this.#onPinchEnd?.()),this.#touchInfo&&(stopEvent(evt),this.#touchInfo=null,this.#isPinching=!1))}destroy(){this.#touchManagerAC?.abort(),this.#touchManagerAC=null,this.#pointerDownAC?.abort(),this.#pointerDownAC=null}}class AnnotationEditor{#accessibilityData=null;#allResizerDivs=null;#altText=null;#comment=null;#disabled=!1;#dragPointerId=null;#dragPointerType="";#keepAspectRatio=!1;#resizersDiv=null;#lastPointerCoords=null;#savedDimensions=null;#focusAC=null;#focusedResizerName="";#hasBeenClicked=!1;#initialRect=null;#isEditing=!1;#isInEditMode=!1;#isResizerEnabledForKeyboard=!1;#moveInDOMTimeout=null;#prevDragX=0;#prevDragY=0;#telemetryTimeouts=null;#touchManager=null;isSelected=!1;_isCopy=!1;_editToolbar=null;_initialOptions=Object.
+create(null);_initialData=null;_isVisible=!0;_uiManager=null;_focusEventsAllowed=!0;static _l10n=null;static _l10nResizer=null;#isDraggable=!1;#zIndex=AnnotationEditor._zIndex++;static _borderLineWidth=-1;static _colorManager=new ColorManager;static _zIndex=1;static _telemetryTimeout=1e3;static get _resizerKeyboardManager(){const resize=AnnotationEditor.prototype._resizeWithKeyboard,small=AnnotationEditorUIManager.TRANSLATE_SMALL,big=AnnotationEditorUIManager.TRANSLATE_BIG;return shadow(this,"_r\
+esizerKeyboardManager",new KeyboardManager([[["ArrowLeft","mac+ArrowLeft"],resize,{args:[-small,0]}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],resize,{args:[-big,0]}],[["ArrowRight","mac+ArrowRight"],resize,{args:[small,0]}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],resize,{args:[big,0]}],[["ArrowUp","mac+ArrowUp"],resize,{args:[0,-small]}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],resize,{args:[0,-big]}],[["ArrowDown","mac+ArrowDown"],resize,{args:[0,small]}],[["ctrl+ArrowDown","mac+shift+ArrowDo\
+wn"],resize,{args:[0,big]}],[["Escape","mac+Escape"],AnnotationEditor.prototype._stopResizingWithKeyboard]]))}constructor(parameters){this.parent=parameters.parent,this.id=parameters.id,this.width=this.height=null,this.pageIndex=parameters.parent.pageIndex,this.name=parameters.name,this.div=null,this._uiManager=parameters.uiManager,this.annotationElementId=null,this._willKeepAspectRatio=!1,this._initialOptions.isCentered=parameters.isCentered,this._structTreeParentId=null,this.annotationElementId=
+parameters.annotationElementId||null;const{rotation,rawDims:{pageWidth,pageHeight,pageX,pageY}}=this.parent.viewport;this.rotation=rotation,this.pageRotation=(360+rotation-this._uiManager.viewParameters.rotation)%360,this.pageDimensions=[pageWidth,pageHeight],this.pageTranslation=[pageX,pageY];const[width,height]=this.parentDimensions;this.x=parameters.x/width,this.y=parameters.y/height,this.isAttachedToDOM=!1,this.deleted=!1}get editorType(){return Object.getPrototypeOf(this).constructor._type}get mode(){
+return Object.getPrototypeOf(this).constructor._editorType}static get isDrawer(){return!1}static get _defaultLineColor(){return shadow(this,"_defaultLineColor",this._colorManager.getHexCode("CanvasText"))}static deleteAnnotationElement(editor){const fakeEditor=new FakeEditor({id:editor.parent.getNextId(),parent:editor.parent,uiManager:editor._uiManager});fakeEditor.annotationElementId=editor.annotationElementId,fakeEditor.deleted=!0,fakeEditor._uiManager.addToAnnotationStorage(fakeEditor)}static initialize(l10n,_uiManager){
+if(AnnotationEditor._l10n??=l10n,AnnotationEditor._l10nResizer||=Object.freeze({topLeft:"pdfjs-editor-resizer-top-left",topMiddle:"pdfjs-editor-resizer-top-middle",topRight:"pdfjs-editor-resizer-top-right",middleRight:"pdfjs-editor-resizer-middle-right",bottomRight:"pdfjs-editor-resizer-bottom-right",bottomMiddle:"pdfjs-editor-resizer-bottom-middle",bottomLeft:"pdfjs-editor-resizer-bottom-left",middleLeft:"pdfjs-editor-resizer-middle-left"}),AnnotationEditor._borderLineWidth!==-1)return;const style2=getComputedStyle(
+document.documentElement);AnnotationEditor._borderLineWidth=parseFloat(style2.getPropertyValue("--outline-width"))||0}static updateDefaultParams(_type,_value){}static get defaultPropertiesToUpdate(){return[]}static isHandlingMimeForPasting(mime){return!1}static paste(item,parent){unreachable("Not implemented")}get propertiesToUpdate(){return[]}get _isDraggable(){return this.#isDraggable}set _isDraggable(value){this.#isDraggable=value,this.div?.classList.toggle("draggable",value)}get isEnterHandled(){
+return!0}center(){const[pageWidth,pageHeight]=this.pageDimensions;switch(this.parentRotation){case 90:this.x-=this.height*pageHeight/(pageWidth*2),this.y+=this.width*pageWidth/(pageHeight*2);break;case 180:this.x+=this.width/2,this.y+=this.height/2;break;case 270:this.x+=this.height*pageHeight/(pageWidth*2),this.y-=this.width*pageWidth/(pageHeight*2);break;default:this.x-=this.width/2,this.y-=this.height/2;break}this.fixAndSetPosition()}addCommands(params){this._uiManager.addCommands(params)}get currentLayer(){
+return this._uiManager.currentLayer}setInBackground(){this.div.style.zIndex=0}setInForeground(){this.div.style.zIndex=this.#zIndex}setParent(parent){parent!==null?(this.pageIndex=parent.pageIndex,this.pageDimensions=parent.pageDimensions):this.#stopResizing(),this.parent=parent}focusin(event2){this._focusEventsAllowed&&(this.#hasBeenClicked?this.#hasBeenClicked=!1:this.parent.setSelected(this))}focusout(event2){!this._focusEventsAllowed||!this.isAttachedToDOM||event2.relatedTarget?.closest(`#${this.
+id}`)||(event2.preventDefault(),this.parent?.isMultipleSelection||this.commitOrRemove())}commitOrRemove(){this.isEmpty()?this.remove():this.commit()}commit(){this.isInEditMode()&&this.addToAnnotationStorage()}addToAnnotationStorage(){this._uiManager.addToAnnotationStorage(this)}setAt(x,y,tx,ty){const[width,height]=this.parentDimensions;[tx,ty]=this.screenToPageTranslation(tx,ty),this.x=(x+tx)/width,this.y=(y+ty)/height,this.fixAndSetPosition()}_moveAfterPaste(baseX,baseY){const[parentWidth,parentHeight]=this.
+parentDimensions;this.setAt(baseX*parentWidth,baseY*parentHeight,this.width*parentWidth,this.height*parentHeight),this._onTranslated()}#translate([width,height],x,y){[x,y]=this.screenToPageTranslation(x,y),this.x+=x/width,this.y+=y/height,this._onTranslating(this.x,this.y),this.fixAndSetPosition()}translate(x,y){this.#translate(this.parentDimensions,x,y)}translateInPage(x,y){this.#initialRect||=[this.x,this.y,this.width,this.height],this.#translate(this.pageDimensions,x,y),this.div.scrollIntoView(
+{block:"nearest"})}translationDone(){this._onTranslated(this.x,this.y)}drag(tx,ty){this.#initialRect||=[this.x,this.y,this.width,this.height];const{div,parentDimensions:[parentWidth,parentHeight]}=this;if(this.x+=tx/parentWidth,this.y+=ty/parentHeight,this.parent&&(this.x<0||this.x>1||this.y<0||this.y>1)){const{x:x2,y:y2}=this.div.getBoundingClientRect();this.parent.findNewParent(this,x2,y2)&&(this.x-=Math.floor(this.x),this.y-=Math.floor(this.y))}let{x,y}=this;const[bx,by]=this.getBaseTranslation();
+x+=bx,y+=by;const{style:style2}=div;style2.left=`${(100*x).toFixed(2)}%`,style2.top=`${(100*y).toFixed(2)}%`,this._onTranslating(x,y),div.scrollIntoView({block:"nearest"})}_onTranslating(x,y){}_onTranslated(x,y){}get _hasBeenMoved(){return!!this.#initialRect&&(this.#initialRect[0]!==this.x||this.#initialRect[1]!==this.y)}get _hasBeenResized(){return!!this.#initialRect&&(this.#initialRect[2]!==this.width||this.#initialRect[3]!==this.height)}getBaseTranslation(){const[parentWidth,parentHeight]=this.
+parentDimensions,{_borderLineWidth}=AnnotationEditor,x=_borderLineWidth/parentWidth,y=_borderLineWidth/parentHeight;switch(this.rotation){case 90:return[-x,y];case 180:return[x,y];case 270:return[x,-y];default:return[-x,-y]}}get _mustFixPosition(){return!0}fixAndSetPosition(rotation=this.rotation){const{div:{style:style2},pageDimensions:[pageWidth,pageHeight]}=this;let{x,y,width,height}=this;if(width*=pageWidth,height*=pageHeight,x*=pageWidth,y*=pageHeight,this._mustFixPosition)switch(rotation){case 0:
+x=MathClamp(x,0,pageWidth-width),y=MathClamp(y,0,pageHeight-height);break;case 90:x=MathClamp(x,0,pageWidth-height),y=MathClamp(y,width,pageHeight);break;case 180:x=MathClamp(x,width,pageWidth),y=MathClamp(y,height,pageHeight);break;case 270:x=MathClamp(x,height,pageWidth),y=MathClamp(y,0,pageHeight-width);break}this.x=x/=pageWidth,this.y=y/=pageHeight;const[bx,by]=this.getBaseTranslation();x+=bx,y+=by,style2.left=`${(100*x).toFixed(2)}%`,style2.top=`${(100*y).toFixed(2)}%`,this.moveInDOM()}static#rotatePoint(x,y,angle){
+switch(angle){case 90:return[y,-x];case 180:return[-x,-y];case 270:return[-y,x];default:return[x,y]}}screenToPageTranslation(x,y){return AnnotationEditor.#rotatePoint(x,y,this.parentRotation)}pageTranslationToScreen(x,y){return AnnotationEditor.#rotatePoint(x,y,360-this.parentRotation)}#getRotationMatrix(rotation){switch(rotation){case 90:{const[pageWidth,pageHeight]=this.pageDimensions;return[0,-pageWidth/pageHeight,pageHeight/pageWidth,0]}case 180:return[-1,0,0,-1];case 270:{const[pageWidth,pageHeight]=this.
+pageDimensions;return[0,pageWidth/pageHeight,-pageHeight/pageWidth,0]}default:return[1,0,0,1]}}get parentScale(){return this._uiManager.viewParameters.realScale}get parentRotation(){return(this._uiManager.viewParameters.rotation+this.pageRotation)%360}get parentDimensions(){const{parentScale,pageDimensions:[pageWidth,pageHeight]}=this;return[pageWidth*parentScale,pageHeight*parentScale]}setDims(width,height){const[parentWidth,parentHeight]=this.parentDimensions,{style:style2}=this.div;style2.width=
+`${(100*width/parentWidth).toFixed(2)}%`,this.#keepAspectRatio||(style2.height=`${(100*height/parentHeight).toFixed(2)}%`)}fixDims(){const{style:style2}=this.div,{height,width}=style2,widthPercent=width.endsWith("%"),heightPercent=!this.#keepAspectRatio&&height.endsWith("%");if(widthPercent&&heightPercent)return;const[parentWidth,parentHeight]=this.parentDimensions;widthPercent||(style2.width=`${(100*parseFloat(width)/parentWidth).toFixed(2)}%`),!this.#keepAspectRatio&&!heightPercent&&(style2.height=
+`${(100*parseFloat(height)/parentHeight).toFixed(2)}%`)}getInitialTranslation(){return[0,0]}#createResizers(){if(this.#resizersDiv)return;this.#resizersDiv=document.createElement("div"),this.#resizersDiv.classList.add("resizers");const classes=this._willKeepAspectRatio?["topLeft","topRight","bottomRight","bottomLeft"]:["topLeft","topMiddle","topRight","middleRight","bottomRight","bottomMiddle","bottomLeft","middleLeft"],signal=this._uiManager._signal;for(const name of classes){const div=document.
+createElement("div");this.#resizersDiv.append(div),div.classList.add("resizer",name),div.setAttribute("data-resizer-name",name),div.addEventListener("pointerdown",this.#resizerPointerdown.bind(this,name),{signal}),div.addEventListener("contextmenu",noContextMenu,{signal}),div.tabIndex=-1}this.div.prepend(this.#resizersDiv)}#resizerPointerdown(name,event2){event2.preventDefault();const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac)return;this.#altText?.toggle(!1);const savedDraggable=this.
+_isDraggable;this._isDraggable=!1,this.#lastPointerCoords=[event2.screenX,event2.screenY];const ac=new AbortController,signal=this._uiManager.combinedSignal(ac);this.parent.togglePointerEvents(!1),window.addEventListener("pointermove",this.#resizerPointermove.bind(this,name),{passive:!0,capture:!0,signal}),window.addEventListener("touchmove",stopEvent,{passive:!1,signal}),window.addEventListener("contextmenu",noContextMenu,{signal}),this.#savedDimensions={savedX:this.x,savedY:this.y,savedWidth:this.
+width,savedHeight:this.height};const savedParentCursor=this.parent.div.style.cursor,savedCursor=this.div.style.cursor;this.div.style.cursor=this.parent.div.style.cursor=window.getComputedStyle(event2.target).cursor;const pointerUpCallback=()=>{ac.abort(),this.parent.togglePointerEvents(!0),this.#altText?.toggle(!0),this._isDraggable=savedDraggable,this.parent.div.style.cursor=savedParentCursor,this.div.style.cursor=savedCursor,this.#addResizeToUndoStack()};window.addEventListener("pointerup",pointerUpCallback,
+{signal}),window.addEventListener("blur",pointerUpCallback,{signal})}#resize(x,y,width,height){this.width=width,this.height=height,this.x=x,this.y=y;const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(parentWidth*width,parentHeight*height),this.fixAndSetPosition(),this._onResized()}_onResized(){}#addResizeToUndoStack(){if(!this.#savedDimensions)return;const{savedX,savedY,savedWidth,savedHeight}=this.#savedDimensions;this.#savedDimensions=null;const newX=this.x,newY=this.y,newWidth=this.
+width,newHeight=this.height;newX===savedX&&newY===savedY&&newWidth===savedWidth&&newHeight===savedHeight||this.addCommands({cmd:this.#resize.bind(this,newX,newY,newWidth,newHeight),undo:this.#resize.bind(this,savedX,savedY,savedWidth,savedHeight),mustExec:!0})}static _round(x){return Math.round(x*1e4)/1e4}#resizerPointermove(name,event2){const[parentWidth,parentHeight]=this.parentDimensions,savedX=this.x,savedY=this.y,savedWidth=this.width,savedHeight=this.height,minWidth=AnnotationEditor.MIN_SIZE/
+parentWidth,minHeight=AnnotationEditor.MIN_SIZE/parentHeight,rotationMatrix=this.#getRotationMatrix(this.rotation),transf=(x,y)=>[rotationMatrix[0]*x+rotationMatrix[2]*y,rotationMatrix[1]*x+rotationMatrix[3]*y],invRotationMatrix=this.#getRotationMatrix(360-this.rotation),invTransf=(x,y)=>[invRotationMatrix[0]*x+invRotationMatrix[2]*y,invRotationMatrix[1]*x+invRotationMatrix[3]*y];let getPoint2,getOpposite,isDiagonal=!1,isHorizontal=!1;switch(name){case"topLeft":isDiagonal=!0,getPoint2=(w,h2)=>[0,
+0],getOpposite=(w,h2)=>[w,h2];break;case"topMiddle":getPoint2=(w,h2)=>[w/2,0],getOpposite=(w,h2)=>[w/2,h2];break;case"topRight":isDiagonal=!0,getPoint2=(w,h2)=>[w,0],getOpposite=(w,h2)=>[0,h2];break;case"middleRight":isHorizontal=!0,getPoint2=(w,h2)=>[w,h2/2],getOpposite=(w,h2)=>[0,h2/2];break;case"bottomRight":isDiagonal=!0,getPoint2=(w,h2)=>[w,h2],getOpposite=(w,h2)=>[0,0];break;case"bottomMiddle":getPoint2=(w,h2)=>[w/2,h2],getOpposite=(w,h2)=>[w/2,0];break;case"bottomLeft":isDiagonal=!0,getPoint2=
+(w,h2)=>[0,h2],getOpposite=(w,h2)=>[w,0];break;case"middleLeft":isHorizontal=!0,getPoint2=(w,h2)=>[0,h2/2],getOpposite=(w,h2)=>[w,h2/2];break}const point2=getPoint2(savedWidth,savedHeight),oppositePoint=getOpposite(savedWidth,savedHeight);let transfOppositePoint=transf(...oppositePoint);const oppositeX=AnnotationEditor._round(savedX+transfOppositePoint[0]),oppositeY=AnnotationEditor._round(savedY+transfOppositePoint[1]);let ratioX=1,ratioY=1,deltaX,deltaY;if(event2.fromKeyboard)({deltaX,deltaY}=
+event2);else{const{screenX,screenY}=event2,[lastScreenX,lastScreenY]=this.#lastPointerCoords;[deltaX,deltaY]=this.screenToPageTranslation(screenX-lastScreenX,screenY-lastScreenY),this.#lastPointerCoords[0]=screenX,this.#lastPointerCoords[1]=screenY}if([deltaX,deltaY]=invTransf(deltaX/parentWidth,deltaY/parentHeight),isDiagonal){const oldDiag=Math.hypot(savedWidth,savedHeight);ratioX=ratioY=Math.max(Math.min(Math.hypot(oppositePoint[0]-point2[0]-deltaX,oppositePoint[1]-point2[1]-deltaY)/oldDiag,1/
+savedWidth,1/savedHeight),minWidth/savedWidth,minHeight/savedHeight)}else isHorizontal?ratioX=MathClamp(Math.abs(oppositePoint[0]-point2[0]-deltaX),minWidth,1)/savedWidth:ratioY=MathClamp(Math.abs(oppositePoint[1]-point2[1]-deltaY),minHeight,1)/savedHeight;const newWidth=AnnotationEditor._round(savedWidth*ratioX),newHeight=AnnotationEditor._round(savedHeight*ratioY);transfOppositePoint=transf(...getOpposite(newWidth,newHeight));const newX=oppositeX-transfOppositePoint[0],newY=oppositeY-transfOppositePoint[1];
+this.#initialRect||=[this.x,this.y,this.width,this.height],this.width=newWidth,this.height=newHeight,this.x=newX,this.y=newY,this.setDims(parentWidth*newWidth,parentHeight*newHeight),this.fixAndSetPosition(),this._onResizing()}_onResizing(){}altTextFinish(){this.#altText?.finish()}get toolbarButtons(){return null}async addEditToolbar(){if(this._editToolbar||this.#isInEditMode)return this._editToolbar;this._editToolbar=new EditorToolbar(this),this.div.append(this._editToolbar.render()),this._editToolbar.
+addButton("comment",this.addCommentButton());const{toolbarButtons}=this;if(toolbarButtons)for(const[name,tool]of toolbarButtons)await this._editToolbar.addButton(name,tool);return this._editToolbar.addButton("delete"),this._editToolbar}removeEditToolbar(){this._editToolbar&&(this._editToolbar.remove(),this._editToolbar=null,this.#altText?.destroy())}addContainer(container2){const editToolbarDiv=this._editToolbar?.div;editToolbarDiv?editToolbarDiv.before(container2):this.div.append(container2)}getClientDimensions(){
+return this.div.getBoundingClientRect()}createAltText(){return this.#altText||(AltText.initialize(AnnotationEditor._l10n),this.#altText=new AltText(this),this.#accessibilityData&&(this.#altText.data=this.#accessibilityData,this.#accessibilityData=null)),this.#altText}get altTextData(){return this.#altText?.data}set altTextData(data){this.#altText&&(this.#altText.data=data)}get guessedAltText(){return this.#altText?.guessedText}async setGuessedAltText(text2){await this.#altText?.setGuessedText(text2)}serializeAltText(isForCopying){
+return this.#altText?.serialize(isForCopying)}hasAltText(){return!!this.#altText&&!this.#altText.isEmpty()}hasAltTextData(){return this.#altText?.hasData()??!1}addCommentButton(){return this.#comment?this.#comment:this.#comment=new Comment$1(this)}get commentColor(){return null}get comment(){const comment2=this.#comment;return{text:comment2.data.text,date:comment2.data.date,deleted:comment2.isDeleted(),color:this.commentColor}}set comment(text2){this.#comment||(this.#comment=new Comment$1(this)),
+this.#comment.data=text2}setCommentData(text2){this.#comment||(this.#comment=new Comment$1(this)),this.#comment.setInitialText(text2)}get hasEditedComment(){return this.#comment?.hasBeenEdited()}async editComment(){this.#comment||(this.#comment=new Comment$1(this)),this.#comment.edit()}addComment(serialized){this.hasEditedComment&&(serialized.popup={contents:this.comment.text,deleted:this.comment.deleted})}render(){const div=this.div=document.createElement("div");div.setAttribute("data-editor-ro\
+tation",(360-this.rotation)%360),div.className=this.name,div.setAttribute("id",this.id),div.tabIndex=this.#disabled?-1:0,div.setAttribute("role","application"),this.defaultL10nId&&div.setAttribute("data-l10n-id",this.defaultL10nId),this._isVisible||div.classList.add("hidden"),this.setInForeground(),this.#addFocusListeners();const[parentWidth,parentHeight]=this.parentDimensions;this.parentRotation%180!==0&&(div.style.maxWidth=`${(100*parentHeight/parentWidth).toFixed(2)}%`,div.style.maxHeight=`${(100*
+parentWidth/parentHeight).toFixed(2)}%`);const[tx,ty]=this.getInitialTranslation();return this.translate(tx,ty),bindEvents(this,div,["keydown","pointerdown","dblclick"]),this.isResizable&&this._uiManager._supportsPinchToZoom&&(this.#touchManager||=new TouchManager({container:div,isPinchingDisabled:()=>!this.isSelected,onPinchStart:this.#touchPinchStartCallback.bind(this),onPinching:this.#touchPinchCallback.bind(this),onPinchEnd:this.#touchPinchEndCallback.bind(this),signal:this._uiManager._signal})),
+this._uiManager._editorUndoBar?.hide(),div}#touchPinchStartCallback(){this.#savedDimensions={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height},this.#altText?.toggle(!1),this.parent.togglePointerEvents(!1)}#touchPinchCallback(_origin,prevDistance,distance){let factor=.7*(distance/prevDistance)+1-.7;if(factor===1)return;const rotationMatrix=this.#getRotationMatrix(this.rotation),transf=(x,y)=>[rotationMatrix[0]*x+rotationMatrix[2]*y,rotationMatrix[1]*x+rotationMatrix[3]*y],
+[parentWidth,parentHeight]=this.parentDimensions,savedX=this.x,savedY=this.y,savedWidth=this.width,savedHeight=this.height,minWidth=AnnotationEditor.MIN_SIZE/parentWidth,minHeight=AnnotationEditor.MIN_SIZE/parentHeight;factor=Math.max(Math.min(factor,1/savedWidth,1/savedHeight),minWidth/savedWidth,minHeight/savedHeight);const newWidth=AnnotationEditor._round(savedWidth*factor),newHeight=AnnotationEditor._round(savedHeight*factor);if(newWidth===savedWidth&&newHeight===savedHeight)return;this.#initialRect||=
+[savedX,savedY,savedWidth,savedHeight];const transfCenterPoint=transf(savedWidth/2,savedHeight/2),centerX=AnnotationEditor._round(savedX+transfCenterPoint[0]),centerY=AnnotationEditor._round(savedY+transfCenterPoint[1]),newTransfCenterPoint=transf(newWidth/2,newHeight/2);this.x=centerX-newTransfCenterPoint[0],this.y=centerY-newTransfCenterPoint[1],this.width=newWidth,this.height=newHeight,this.setDims(parentWidth*newWidth,parentHeight*newHeight),this.fixAndSetPosition(),this._onResizing()}#touchPinchEndCallback(){
+this.#altText?.toggle(!0),this.parent.togglePointerEvents(!0),this.#addResizeToUndoStack()}pointerdown(event2){const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac){event2.preventDefault();return}if(this.#hasBeenClicked=!0,this._isDraggable){this.#setUpDragSession(event2);return}this.#selectOnPointerEvent(event2)}#selectOnPointerEvent(event2){const{isMac}=util_FeatureTest.platform;event2.ctrlKey&&!isMac||event2.shiftKey||event2.metaKey&&isMac?this.parent.toggleSelected(
+this):this.parent.setSelected(this)}#setUpDragSession(event2){const{isSelected}=this;this._uiManager.setUpDragSession();let hasDraggingStarted=!1;const ac=new AbortController,signal=this._uiManager.combinedSignal(ac),opts={capture:!0,passive:!1,signal},cancelDrag=e=>{ac.abort(),this.#dragPointerId=null,this.#hasBeenClicked=!1,this._uiManager.endDragSession()||this.#selectOnPointerEvent(e),hasDraggingStarted&&this._onStopDragging()};isSelected&&(this.#prevDragX=event2.clientX,this.#prevDragY=event2.
+clientY,this.#dragPointerId=event2.pointerId,this.#dragPointerType=event2.pointerType,window.addEventListener("pointermove",e=>{hasDraggingStarted||(hasDraggingStarted=!0,this._onStartDragging());const{clientX:x,clientY:y,pointerId}=e;if(pointerId!==this.#dragPointerId){stopEvent(e);return}const[tx,ty]=this.screenToPageTranslation(x-this.#prevDragX,y-this.#prevDragY);this.#prevDragX=x,this.#prevDragY=y,this._uiManager.dragSelectedEditors(tx,ty)},opts),window.addEventListener("touchmove",stopEvent,
+opts),window.addEventListener("pointerdown",e=>{e.pointerType===this.#dragPointerType&&(this.#touchManager||e.isPrimary)&&cancelDrag(e),stopEvent(e)},opts));const pointerUpCallback=e=>{if(!this.#dragPointerId||this.#dragPointerId===e.pointerId){cancelDrag(e);return}stopEvent(e)};window.addEventListener("pointerup",pointerUpCallback,{signal}),window.addEventListener("blur",pointerUpCallback,{signal})}_onStartDragging(){}_onStopDragging(){}moveInDOM(){this.#moveInDOMTimeout&&clearTimeout(this.#moveInDOMTimeout),
+this.#moveInDOMTimeout=setTimeout(()=>{this.#moveInDOMTimeout=null,this.parent?.moveEditorInDOM(this)},0)}_setParentAndPosition(parent,x,y){parent.changeParent(this),this.x=x,this.y=y,this.fixAndSetPosition(),this._onTranslated()}getRect(tx,ty,rotation=this.rotation){const scale2=this.parentScale,[pageWidth,pageHeight]=this.pageDimensions,[pageX,pageY]=this.pageTranslation,shiftX=tx/scale2,shiftY=ty/scale2,x=this.x*pageWidth,y=this.y*pageHeight,width=this.width*pageWidth,height=this.height*pageHeight;
+switch(rotation){case 0:return[x+shiftX+pageX,pageHeight-y-shiftY-height+pageY,x+shiftX+width+pageX,pageHeight-y-shiftY+pageY];case 90:return[x+shiftY+pageX,pageHeight-y+shiftX+pageY,x+shiftY+height+pageX,pageHeight-y+shiftX+width+pageY];case 180:return[x-shiftX-width+pageX,pageHeight-y+shiftY+pageY,x-shiftX+pageX,pageHeight-y+shiftY+height+pageY];case 270:return[x-shiftY-height+pageX,pageHeight-y-shiftX-width+pageY,x-shiftY+pageX,pageHeight-y-shiftX+pageY];default:throw new Error("Invalid rotat\
+ion")}}getRectInCurrentCoords(rect,pageHeight){const[x1,y1,x2,y2]=rect,width=x2-x1,height=y2-y1;switch(this.rotation){case 0:return[x1,pageHeight-y2,width,height];case 90:return[x1,pageHeight-y1,height,width];case 180:return[x2,pageHeight-y1,width,height];case 270:return[x2,pageHeight-y2,height,width];default:throw new Error("Invalid rotation")}}onceAdded(focus2){}isEmpty(){return!1}enableEditMode(){return this.isInEditMode()?!1:(this.parent.setEditingState(!1),this.#isInEditMode=!0,!0)}disableEditMode(){
+return this.isInEditMode()?(this.parent.setEditingState(!0),this.#isInEditMode=!1,!0):!1}isInEditMode(){return this.#isInEditMode}shouldGetKeyboardEvents(){return this.#isResizerEnabledForKeyboard}needsToBeRebuilt(){return this.div&&!this.isAttachedToDOM}get isOnScreen(){const{top,left,bottom,right}=this.getClientDimensions(),{innerHeight,innerWidth}=window;return left<innerWidth&&right>0&&top<innerHeight&&bottom>0}#addFocusListeners(){if(this.#focusAC||!this.div)return;this.#focusAC=new AbortController;
+const signal=this._uiManager.combinedSignal(this.#focusAC);this.div.addEventListener("focusin",this.focusin.bind(this),{signal}),this.div.addEventListener("focusout",this.focusout.bind(this),{signal})}rebuild(){this.#addFocusListeners()}rotate(_angle){}resize(){}serializeDeleted(){return{id:this.annotationElementId,deleted:!0,pageIndex:this.pageIndex,popupRef:this._initialData?.popupRef||""}}serialize(isForCopying=!1,context=null){unreachable("An editor must be serializable")}static async deserialize(data,parent,uiManager){
+const editor=new this.prototype.constructor({parent,id:parent.getNextId(),uiManager,annotationElementId:data.annotationElementId});editor.rotation=data.rotation,editor.#accessibilityData=data.accessibilityData,editor._isCopy=data.isCopy||!1;const[pageWidth,pageHeight]=editor.pageDimensions,[x,y,width,height]=editor.getRectInCurrentCoords(data.rect,pageHeight);return editor.x=x/pageWidth,editor.y=y/pageHeight,editor.width=width/pageWidth,editor.height=height/pageHeight,editor}get hasBeenModified(){
+return!!this.annotationElementId&&(this.deleted||this.serialize()!==null)}remove(){if(this.#focusAC?.abort(),this.#focusAC=null,this.isEmpty()||this.commit(),this.parent?this.parent.remove(this):this._uiManager.removeEditor(this),this.#moveInDOMTimeout&&(clearTimeout(this.#moveInDOMTimeout),this.#moveInDOMTimeout=null),this.#stopResizing(),this.removeEditToolbar(),this.#telemetryTimeouts){for(const timeout of this.#telemetryTimeouts.values())clearTimeout(timeout);this.#telemetryTimeouts=null}this.
+parent=null,this.#touchManager?.destroy(),this.#touchManager=null}get isResizable(){return!1}makeResizable(){this.isResizable&&(this.#createResizers(),this.#resizersDiv.classList.remove("hidden"))}get toolbarPosition(){return null}keydown(event2){if(!this.isResizable||event2.target!==this.div||event2.key!=="Enter")return;this._uiManager.setSelected(this),this.#savedDimensions={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height};const children=this.#resizersDiv.children;if(!this.#allResizerDivs){
+this.#allResizerDivs=Array.from(children);const boundResizerKeydown=this.#resizerKeydown.bind(this),boundResizerBlur=this.#resizerBlur.bind(this),signal=this._uiManager._signal;for(const div of this.#allResizerDivs){const name=div.getAttribute("data-resizer-name");div.setAttribute("role","spinbutton"),div.addEventListener("keydown",boundResizerKeydown,{signal}),div.addEventListener("blur",boundResizerBlur,{signal}),div.addEventListener("focus",this.#resizerFocus.bind(this,name),{signal}),div.setAttribute(
+"data-l10n-id",AnnotationEditor._l10nResizer[name])}}const first=this.#allResizerDivs[0];let firstPosition=0;for(const div of children){if(div===first)break;firstPosition++}const nextFirstPosition=(360-this.rotation+this.parentRotation)%360/90*(this.#allResizerDivs.length/4);if(nextFirstPosition!==firstPosition){if(nextFirstPosition<firstPosition)for(let i2=0;i2<firstPosition-nextFirstPosition;i2++)this.#resizersDiv.append(this.#resizersDiv.firstChild);else if(nextFirstPosition>firstPosition)for(let i2=0;i2<
+nextFirstPosition-firstPosition;i2++)this.#resizersDiv.firstChild.before(this.#resizersDiv.lastChild);let i=0;for(const child2 of children){const name=this.#allResizerDivs[i++].getAttribute("data-resizer-name");child2.setAttribute("data-l10n-id",AnnotationEditor._l10nResizer[name])}}this.#setResizerTabIndex(0),this.#isResizerEnabledForKeyboard=!0,this.#resizersDiv.firstChild.focus({focusVisible:!0}),event2.preventDefault(),event2.stopImmediatePropagation()}#resizerKeydown(event2){AnnotationEditor.
+_resizerKeyboardManager.exec(this,event2)}#resizerBlur(event2){this.#isResizerEnabledForKeyboard&&event2.relatedTarget?.parentNode!==this.#resizersDiv&&this.#stopResizing()}#resizerFocus(name){this.#focusedResizerName=this.#isResizerEnabledForKeyboard?name:""}#setResizerTabIndex(value){if(this.#allResizerDivs)for(const div of this.#allResizerDivs)div.tabIndex=value}_resizeWithKeyboard(x,y){this.#isResizerEnabledForKeyboard&&this.#resizerPointermove(this.#focusedResizerName,{deltaX:x,deltaY:y,fromKeyboard:!0})}#stopResizing(){
+this.#isResizerEnabledForKeyboard=!1,this.#setResizerTabIndex(-1),this.#addResizeToUndoStack()}_stopResizingWithKeyboard(){this.#stopResizing(),this.div.focus()}select(){if(!(this.isSelected&&this._editToolbar)){if(this.isSelected=!0,this.makeResizable(),this.div?.classList.add("selectedEditor"),!this._editToolbar){this.addEditToolbar().then(()=>{this.div?.classList.contains("selectedEditor")&&this._editToolbar?.show()});return}this._editToolbar?.show(),this.#altText?.toggleAltTextBadge(!1)}}unselect(){
+this.isSelected&&(this.isSelected=!1,this.#resizersDiv?.classList.add("hidden"),this.div?.classList.remove("selectedEditor"),this.div?.contains(document.activeElement)&&this._uiManager.currentLayer.div.focus({preventScroll:!0}),this._editToolbar?.hide(),this.#altText?.toggleAltTextBadge(!0))}updateParams(type2,value){}disableEditing(){}enableEditing(){}get canChangeContent(){return!1}enterInEditMode(){this.canChangeContent&&(this.enableEditMode(),this.div.focus())}dblclick(event2){this.enterInEditMode(),
+this.parent.updateToolbar({mode:this.constructor._editorType,editId:this.id})}getElementForAltText(){return this.div}get contentDiv(){return this.div}get isEditing(){return this.#isEditing}set isEditing(value){this.#isEditing=value,this.parent&&(value?(this.parent.setSelected(this),this.parent.setActiveEditor(this)):this.parent.setActiveEditor(null))}setAspectRatio(width,height){this.#keepAspectRatio=!0;const aspectRatio=width/height,{style:style2}=this.div;style2.aspectRatio=aspectRatio,style2.
+height="auto"}static get MIN_SIZE(){return 16}static canCreateNewEmptyEditor(){return!0}get telemetryInitialData(){return{action:"added"}}get telemetryFinalData(){return null}_reportTelemetry(data,mustWait=!1){if(mustWait){this.#telemetryTimeouts||=new Map;const{action:action2}=data;let timeout=this.#telemetryTimeouts.get(action2);timeout&&clearTimeout(timeout),timeout=setTimeout(()=>{this._reportTelemetry(data),this.#telemetryTimeouts.delete(action2),this.#telemetryTimeouts.size===0&&(this.#telemetryTimeouts=
+null)},AnnotationEditor._telemetryTimeout),this.#telemetryTimeouts.set(action2,timeout);return}data.type||=this.editorType,this._uiManager._eventBus.dispatch("reporttelemetry",{source:this,details:{type:"editing",data}})}show(visible=this._isVisible){this.div.classList.toggle("hidden",!visible),this._isVisible=visible}enable(){this.div&&(this.div.tabIndex=0),this.#disabled=!1}disable(){this.div&&(this.div.tabIndex=-1),this.#disabled=!0}renderAnnotationElement(annotation){let content2=annotation.
+container.querySelector(".annotationContent");if(!content2)content2=document.createElement("div"),content2.classList.add("annotationContent",this.editorType),annotation.container.prepend(content2);else if(content2.nodeName==="CANVAS"){const canvas=content2;content2=document.createElement("div"),content2.classList.add("annotationContent",this.editorType),canvas.before(content2)}return content2}resetAnnotationElement(annotation){const{firstChild}=annotation.container;firstChild?.nodeName==="DIV"&&
+firstChild.classList.contains("annotationContent")&&firstChild.remove()}}class FakeEditor extends AnnotationEditor{constructor(params){super(params),this.annotationElementId=params.annotationElementId,this.deleted=!0}serialize(){return this.serializeDeleted()}}const SEED=3285377520,MASK_HIGH=4294901760,MASK_LOW=65535;class MurmurHash3_64{constructor(seed){this.h1=seed?seed&4294967295:SEED,this.h2=seed?seed&4294967295:SEED}update(input){let data,length;if(typeof input=="string"){data=new Uint8Array(
+input.length*2),length=0;for(let i=0,ii=input.length;i<ii;i++){const code2=input.charCodeAt(i);code2<=255?data[length++]=code2:(data[length++]=code2>>>8,data[length++]=code2&255)}}else if(ArrayBuffer.isView(input))data=input.slice(),length=data.byteLength;else throw new Error("Invalid data format, must be a string or TypedArray.");const blockCounts=length>>2,tailLength=length-blockCounts*4,dataUint32=new Uint32Array(data.buffer,0,blockCounts);let k1=0,k2=0,h1=this.h1,h2=this.h2;const C1=3432918353,
+C2=461845907,C1_LOW=C1&MASK_LOW,C2_LOW=C2&MASK_LOW;for(let i=0;i<blockCounts;i++)i&1?(k1=dataUint32[i],k1=k1*C1&MASK_HIGH|k1*C1_LOW&MASK_LOW,k1=k1<<15|k1>>>17,k1=k1*C2&MASK_HIGH|k1*C2_LOW&MASK_LOW,h1^=k1,h1=h1<<13|h1>>>19,h1=h1*5+3864292196):(k2=dataUint32[i],k2=k2*C1&MASK_HIGH|k2*C1_LOW&MASK_LOW,k2=k2<<15|k2>>>17,k2=k2*C2&MASK_HIGH|k2*C2_LOW&MASK_LOW,h2^=k2,h2=h2<<13|h2>>>19,h2=h2*5+3864292196);switch(k1=0,tailLength){case 3:k1^=data[blockCounts*4+2]<<16;case 2:k1^=data[blockCounts*4+1]<<8;case 1:
+k1^=data[blockCounts*4],k1=k1*C1&MASK_HIGH|k1*C1_LOW&MASK_LOW,k1=k1<<15|k1>>>17,k1=k1*C2&MASK_HIGH|k1*C2_LOW&MASK_LOW,blockCounts&1?h1^=k1:h2^=k1}this.h1=h1,this.h2=h2}hexdigest(){let h1=this.h1,h2=this.h2;return h1^=h2>>>1,h1=h1*3981806797&MASK_HIGH|h1*36045&MASK_LOW,h2=h2*4283543511&MASK_HIGH|((h2<<16|h1>>>16)*2950163797&MASK_HIGH)>>>16,h1^=h2>>>1,h1=h1*444984403&MASK_HIGH|h1*60499&MASK_LOW,h2=h2*3301882366&MASK_HIGH|((h2<<16|h1>>>16)*3120437893&MASK_HIGH)>>>16,h1^=h2>>>1,(h1>>>0).toString(16).
+padStart(8,"0")+(h2>>>0).toString(16).padStart(8,"0")}}const SerializableEmpty=Object.freeze({map:null,hash:"",transfer:void 0});class AnnotationStorage{#modified=!1;#modifiedIds=null;#storage=new Map;constructor(){this.onSetModified=null,this.onResetModified=null,this.onAnnotationEditor=null}getValue(key2,defaultValue){const value=this.#storage.get(key2);return value===void 0?defaultValue:Object.assign(defaultValue,value)}getRawValue(key2){return this.#storage.get(key2)}remove(key2){if(this.#storage.
+delete(key2),this.#storage.size===0&&this.resetModified(),typeof this.onAnnotationEditor=="function"){for(const value of this.#storage.values())if(value instanceof AnnotationEditor)return;this.onAnnotationEditor(null)}}setValue(key2,value){const obj=this.#storage.get(key2);let modified=!1;if(obj!==void 0)for(const[entry,val]of Object.entries(value))obj[entry]!==val&&(modified=!0,obj[entry]=val);else modified=!0,this.#storage.set(key2,value);modified&&this.#setModified(),value instanceof AnnotationEditor&&
+typeof this.onAnnotationEditor=="function"&&this.onAnnotationEditor(value.constructor._type)}has(key2){return this.#storage.has(key2)}get size(){return this.#storage.size}#setModified(){this.#modified||(this.#modified=!0,typeof this.onSetModified=="function"&&this.onSetModified())}resetModified(){this.#modified&&(this.#modified=!1,typeof this.onResetModified=="function"&&this.onResetModified())}get print(){return new PrintAnnotationStorage(this)}get serializable(){if(this.#storage.size===0)return SerializableEmpty;
+const map2=new Map,hash2=new MurmurHash3_64,transfer=[],context=Object.create(null);let hasBitmap=!1;for(const[key2,val]of this.#storage){const serialized=val instanceof AnnotationEditor?val.serialize(!1,context):val;serialized&&(map2.set(key2,serialized),hash2.update(`${key2}:${JSON.stringify(serialized)}`),hasBitmap||=!!serialized.bitmap)}if(hasBitmap)for(const value of map2.values())value.bitmap&&transfer.push(value.bitmap);return map2.size>0?{map:map2,hash:hash2.hexdigest(),transfer}:SerializableEmpty}get editorStats(){
+let stats=null;const typeToEditor=new Map;for(const value of this.#storage.values()){if(!(value instanceof AnnotationEditor))continue;const editorStats=value.telemetryFinalData;if(!editorStats)continue;const{type:type2}=editorStats;typeToEditor.has(type2)||typeToEditor.set(type2,Object.getPrototypeOf(value).constructor),stats||=Object.create(null);const map2=stats[type2]||=new Map;for(const[key2,val]of Object.entries(editorStats)){if(key2==="type")continue;let counters=map2.get(key2);counters||(counters=
+new Map,map2.set(key2,counters));const count=counters.get(val)??0;counters.set(val,count+1)}}for(const[type2,editor]of typeToEditor)stats[type2]=editor.computeTelemetryFinalData(stats[type2]);return stats}resetModifiedIds(){this.#modifiedIds=null}get modifiedIds(){if(this.#modifiedIds)return this.#modifiedIds;const ids=[];for(const value of this.#storage.values())!(value instanceof AnnotationEditor)||!value.annotationElementId||!value.serialize()||ids.push(value.annotationElementId);return this.#modifiedIds=
+{ids:new Set(ids),hash:ids.join(",")}}[Symbol.iterator](){return this.#storage.entries()}}class PrintAnnotationStorage extends AnnotationStorage{#serializable;constructor(parent){super();const{map:map2,hash:hash2,transfer}=parent.serializable,clone2=structuredClone(map2,transfer?{transfer}:null);this.#serializable={map:clone2,hash:hash2,transfer}}get print(){unreachable("Should not call PrintAnnotationStorage.print")}get serializable(){return this.#serializable}get modifiedIds(){return shadow(this,
+"modifiedIds",{ids:new Set,hash:""})}}class FontLoader{#systemFonts=new Set;constructor({ownerDocument=globalThis.document,styleElement:styleElement2=null}){this._document=ownerDocument,this.nativeFontFaces=new Set,this.styleElement=null,this.loadingRequests=[],this.loadTestFontId=0}addNativeFontFace(nativeFontFace){this.nativeFontFaces.add(nativeFontFace),this._document.fonts.add(nativeFontFace)}removeNativeFontFace(nativeFontFace){this.nativeFontFaces.delete(nativeFontFace),this._document.fonts.
+delete(nativeFontFace)}insertRule(rule){this.styleElement||(this.styleElement=this._document.createElement("style"),this._document.documentElement.getElementsByTagName("head")[0].append(this.styleElement));const styleSheet=this.styleElement.sheet;styleSheet.insertRule(rule,styleSheet.cssRules.length)}clear(){for(const nativeFontFace of this.nativeFontFaces)this._document.fonts.delete(nativeFontFace);this.nativeFontFaces.clear(),this.#systemFonts.clear(),this.styleElement&&(this.styleElement.remove(),
+this.styleElement=null)}async loadSystemFont({systemFontInfo:info2,disableFontFace,_inspectFont}){if(!(!info2||this.#systemFonts.has(info2.loadedName))){if(assert$1(!disableFontFace,"loadSystemFont shouldn't be called when `disableFontFace` is set."),this.isFontLoadingAPISupported){const{loadedName,src,style:style2}=info2,fontFace=new FontFace(loadedName,src,style2);this.addNativeFontFace(fontFace);try{await fontFace.load(),this.#systemFonts.add(loadedName),_inspectFont?.(info2)}catch{warn(`Cann\
+ot load system font: ${info2.baseFontName}, installing it could help to improve PDF rendering.`),this.removeNativeFontFace(fontFace)}return}unreachable("Not implemented: loadSystemFont without the Font Loading API.")}}async bind(font){if(font.attached||font.missingFile&&!font.systemFontInfo)return;if(font.attached=!0,font.systemFontInfo){await this.loadSystemFont(font);return}if(this.isFontLoadingAPISupported){const nativeFontFace=font.createNativeFontFace();if(nativeFontFace){this.addNativeFontFace(
+nativeFontFace);try{await nativeFontFace.loaded}catch(ex){throw warn(`Failed to load font '${nativeFontFace.family}': '${ex}'.`),font.disableFontFace=!0,ex}}return}const rule=font.createFontFaceRule();if(rule){if(this.insertRule(rule),this.isSyncFontLoadingSupported)return;await new Promise(resolve2=>{const request=this._queueLoadingCallback(resolve2);this._prepareFontLoadEvent(font,request)})}}get isFontLoadingAPISupported(){const hasFonts=!!this._document?.fonts;return shadow(this,"isFontLoadi\
+ngAPISupported",hasFonts)}get isSyncFontLoadingSupported(){return shadow(this,"isSyncFontLoadingSupported",isNodeJS||util_FeatureTest.platform.isFirefox)}_queueLoadingCallback(callback){function completeRequest(){for(assert$1(!request.done,"completeRequest() cannot be called twice."),request.done=!0;loadingRequests.length>0&&loadingRequests[0].done;){const otherRequest=loadingRequests.shift();setTimeout(otherRequest.callback,0)}}const{loadingRequests}=this,request={done:!1,complete:completeRequest,
+callback};return loadingRequests.push(request),request}get _loadTestFont(){const testFont=atob("T1RUTwALAIAAAwAwQ0ZGIDHtZg4AAAOYAAAAgUZGVE1lkzZwAAAEHAAAABxHREVGABQAFQAABDgAAAAeT1MvMlYNYwkAAAEgAAAAYGNtYXABDQLUAAACNAAAAUJoZWFk/xVFDQAAALwAAAA2aGhlYQdkA+oAAAD0AAAAJGhtdHgD6AAAAAAEWAAAAAZtYXhwAAJQAAAAARgAAAAGbmFtZVjmdH4AAAGAAAAAsXBvc3T/hgAzAAADeAAAACAAAQAAAAEAALZRFsRfDzz1AAsD6AAAAADOBOTLAAAAAM4KHDwAAAAAA+gDIQAAAAgAAgAAAAAAAAABAAADIQAAAFoD6AAAAAAD6AABAAAAAAAAAAAAAAAAAAAAAQAAUAAAAgAAAAQD6AH0AAUAAAKKArwA\
+AACMAooCvAAAAeAAMQECAAACAAYJAAAAAAAAAAAAAQAAAAAAAAAAAAAAAFBmRWQAwAAuAC4DIP84AFoDIQAAAAAAAQAAAAAAAAAAACAAIAABAAAADgCuAAEAAAAAAAAAAQAAAAEAAAAAAAEAAQAAAAEAAAAAAAIAAQAAAAEAAAAAAAMAAQAAAAEAAAAAAAQAAQAAAAEAAAAAAAUAAQAAAAEAAAAAAAYAAQAAAAMAAQQJAAAAAgABAAMAAQQJAAEAAgABAAMAAQQJAAIAAgABAAMAAQQJAAMAAgABAAMAAQQJAAQAAgABAAMAAQQJAAUAAgABAAMAAQQJAAYAAgABWABYAAAAAAAAAwAAAAMAAAAcAAEAAAAAADwAAwABAAAAHAAEACAAAAAEAAQAAQAAAC7//wAAAC7////TAAEAAAAAAAABBgAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEA\
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\
+AAABAAAAAMmJbzEAAAAAzgTjFQAAAADOBOQpAAEAAAAAAAAADAAUAAQAAAABAAAAAgABAAAAAAAAAAAD6AAAAAAAAA==");return shadow(this,"_loadTestFont",testFont)}_prepareFontLoadEvent(font,request){function int32(data2,offset2){return data2.charCodeAt(offset2)<<24|data2.charCodeAt(offset2+1)<<16|data2.charCodeAt(offset2+2)<<8|data2.charCodeAt(offset2+3)&255}function spliceString(s2,offset2,remove2,insert){const chunk1=s2.substring(0,offset2),chunk2=s2.substring(offset2+remove2);return chunk1+insert+chunk2}let i,ii;const canvas=this.
+_document.createElement("canvas");canvas.width=1,canvas.height=1;const ctx=canvas.getContext("2d");let called=0;function isFontReady(name,callback){if(++called>30){warn("Load test font never loaded."),callback();return}if(ctx.font="30px "+name,ctx.fillText(".",0,20),ctx.getImageData(0,0,1,1).data[3]>0){callback();return}setTimeout(isFontReady.bind(null,name,callback))}const loadTestFontId=`lt${Date.now()}${this.loadTestFontId++}`;let data=this._loadTestFont;data=spliceString(data,976,loadTestFontId.
+length,loadTestFontId);const CFF_CHECKSUM_OFFSET=16,XXXX_VALUE=1482184792;let checksum=int32(data,CFF_CHECKSUM_OFFSET);for(i=0,ii=loadTestFontId.length-3;i<ii;i+=4)checksum=checksum-XXXX_VALUE+int32(loadTestFontId,i)|0;i<loadTestFontId.length&&(checksum=checksum-XXXX_VALUE+int32(loadTestFontId+"XXX",i)|0),data=spliceString(data,CFF_CHECKSUM_OFFSET,4,string32(checksum));const url2=`url(data:font/opentype;base64,${btoa(data)});`,rule=`@font-face {font-family:"${loadTestFontId}";src:${url2}}`;this.
+insertRule(rule);const div=this._document.createElement("div");div.style.visibility="hidden",div.style.width=div.style.height="10px",div.style.position="absolute",div.style.top=div.style.left="0px";for(const name of[font.loadedName,loadTestFontId]){const span=this._document.createElement("span");span.textContent="Hi",span.style.fontFamily=name,div.append(span)}this._document.body.append(div),isFontReady(loadTestFontId,()=>{div.remove(),request.complete()})}}class FontFaceObject{constructor(translatedData,inspectFont=null){
+this.compiledGlyphs=Object.create(null);for(const i in translatedData)this[i]=translatedData[i];this._inspectFont=inspectFont}createNativeFontFace(){if(!this.data||this.disableFontFace)return null;let nativeFontFace;if(!this.cssFontInfo)nativeFontFace=new FontFace(this.loadedName,this.data,{});else{const css2={weight:this.cssFontInfo.fontWeight};this.cssFontInfo.italicAngle&&(css2.style=`oblique ${this.cssFontInfo.italicAngle}deg`),nativeFontFace=new FontFace(this.cssFontInfo.fontFamily,this.data,
+css2)}return this._inspectFont?.(this),nativeFontFace}createFontFaceRule(){if(!this.data||this.disableFontFace)return null;const url2=`url(data:${this.mimetype};base64,${toBase64Util(this.data)});`;let rule;if(!this.cssFontInfo)rule=`@font-face {font-family:"${this.loadedName}";src:${url2}}`;else{let css2=`font-weight: ${this.cssFontInfo.fontWeight};`;this.cssFontInfo.italicAngle&&(css2+=`font-style: oblique ${this.cssFontInfo.italicAngle}deg;`),rule=`@font-face {font-family:"${this.cssFontInfo.
+fontFamily}";${css2}src:${url2}}`}return this._inspectFont?.(this,url2),rule}getPathGenerator(objs,character){if(this.compiledGlyphs[character]!==void 0)return this.compiledGlyphs[character];const objId=this.loadedName+"_path_"+character;let cmds;try{cmds=objs.get(objId)}catch(ex){warn(`getPathGenerator - ignoring character: "${ex}".`)}const path2=new Path2D(cmds||"");return this.fontExtraProperties||objs.delete(objId),this.compiledGlyphs[character]=path2}}function getUrlProp(val){if(val instanceof
+URL)return val.href;if(typeof val=="string"){if(isNodeJS)return val;const url2=URL.parse(val,window.location);if(url2)return url2.href}throw new Error("Invalid PDF url data: either string or URL-object is expected in the url property.")}function getDataProp(val){if(isNodeJS&&typeof Buffer<"u"&&val instanceof Buffer)throw new Error("Please provide binary data as `Uint8Array`, rather than `Buffer`.");if(val instanceof Uint8Array&&val.byteLength===val.buffer.byteLength)return val;if(typeof val=="st\
+ring")return stringToBytes(val);if(val instanceof ArrayBuffer||ArrayBuffer.isView(val)||typeof val=="object"&&!isNaN(val?.length))return new Uint8Array(val);throw new Error("Invalid PDF binary data: either TypedArray, string, or array-like object is expected in the data property.")}function getFactoryUrlProp(val){if(typeof val!="string")return null;if(val.endsWith("/"))return val;throw new Error(`Invalid factory url: "${val}" must include trailing slash.`)}const isRefProxy=v=>typeof v=="object"&&
+Number.isInteger(v?.num)&&v.num>=0&&Number.isInteger(v?.gen)&&v.gen>=0,isNameProxy=v=>typeof v=="object"&&typeof v?.name=="string",isValidExplicitDest=_isValidExplicitDest.bind(null,isRefProxy,isNameProxy);class LoopbackPort{#listeners=new Map;#deferred=Promise.resolve();postMessage(obj,transfer){const event2={data:structuredClone(obj,transfer?{transfer}:null)};this.#deferred.then(()=>{for(const[listener]of this.#listeners)listener.call(this,event2)})}addEventListener(name,listener,options=null){
+let rmAbort=null;if(options?.signal instanceof AbortSignal){const{signal}=options;if(signal.aborted){warn("LoopbackPort - cannot use an `aborted` signal.");return}const onAbort=()=>this.removeEventListener(name,listener);rmAbort=()=>signal.removeEventListener("abort",onAbort),signal.addEventListener("abort",onAbort)}this.#listeners.set(listener,rmAbort)}removeEventListener(name,listener){this.#listeners.get(listener)?.(),this.#listeners.delete(listener)}terminate(){for(const[,rmAbort]of this.#listeners)
+rmAbort?.();this.#listeners.clear()}}const CallbackKind={DATA:1,ERROR:2},StreamKind={CANCEL:1,CANCEL_COMPLETE:2,CLOSE:3,ENQUEUE:4,ERROR:5,PULL:6,PULL_COMPLETE:7,START_COMPLETE:8};function onFn(){}function wrapReason(ex){if(ex instanceof AbortException||ex instanceof InvalidPDFException||ex instanceof PasswordException||ex instanceof ResponseException||ex instanceof UnknownErrorException)return ex;switch(ex instanceof Error||typeof ex=="object"&&ex!==null||unreachable('wrapReason: Expected "reaso\
+n" to be a (possibly cloned) Error.'),ex.name){case"AbortException":return new AbortException(ex.message);case"InvalidPDFException":return new InvalidPDFException(ex.message);case"PasswordException":return new PasswordException(ex.message,ex.code);case"ResponseException":return new ResponseException(ex.message,ex.status,ex.missing);case"UnknownErrorException":return new UnknownErrorException(ex.message,ex.details)}return new UnknownErrorException(ex.message,ex.toString())}class MessageHandler{#messageAC=new AbortController;constructor(sourceName,targetName,comObj){
+this.sourceName=sourceName,this.targetName=targetName,this.comObj=comObj,this.callbackId=1,this.streamId=1,this.streamSinks=Object.create(null),this.streamControllers=Object.create(null),this.callbackCapabilities=Object.create(null),this.actionHandler=Object.create(null),comObj.addEventListener("message",this.#onMessage.bind(this),{signal:this.#messageAC.signal})}#onMessage({data}){if(data.targetName!==this.sourceName)return;if(data.stream){this.#processStreamMessage(data);return}if(data.callback){
+const callbackId=data.callbackId,capability=this.callbackCapabilities[callbackId];if(!capability)throw new Error(`Cannot resolve callback ${callbackId}`);if(delete this.callbackCapabilities[callbackId],data.callback===CallbackKind.DATA)capability.resolve(data.data);else if(data.callback===CallbackKind.ERROR)capability.reject(wrapReason(data.reason));else throw new Error("Unexpected callback case");return}const action2=this.actionHandler[data.action];if(!action2)throw new Error(`Unknown action fr\
+om worker: ${data.action}`);if(data.callbackId){const sourceName=this.sourceName,targetName=data.sourceName,comObj=this.comObj;Promise.try(action2,data.data).then(function(result){comObj.postMessage({sourceName,targetName,callback:CallbackKind.DATA,callbackId:data.callbackId,data:result})},function(reason){comObj.postMessage({sourceName,targetName,callback:CallbackKind.ERROR,callbackId:data.callbackId,reason:wrapReason(reason)})});return}if(data.streamId){this.#createStreamSink(data);return}action2(
+data.data)}on(actionName,handler){const ah=this.actionHandler;if(ah[actionName])throw new Error(`There is already an actionName called "${actionName}"`);ah[actionName]=handler}send(actionName,data,transfers){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:actionName,data},transfers)}sendWithPromise(actionName,data,transfers){const callbackId=this.callbackId++,capability=Promise.withResolvers();this.callbackCapabilities[callbackId]=capability;try{this.comObj.
+postMessage({sourceName:this.sourceName,targetName:this.targetName,action:actionName,callbackId,data},transfers)}catch(ex){capability.reject(ex)}return capability.promise}sendWithStream(actionName,data,queueingStrategy,transfers){const streamId=this.streamId++,sourceName=this.sourceName,targetName=this.targetName,comObj=this.comObj;return new ReadableStream({start:controller=>{const startCapability=Promise.withResolvers();return this.streamControllers[streamId]={controller,startCall:startCapability,
+pullCall:null,cancelCall:null,isClosed:!1},comObj.postMessage({sourceName,targetName,action:actionName,streamId,data,desiredSize:controller.desiredSize},transfers),startCapability.promise},pull:controller=>{const pullCapability=Promise.withResolvers();return this.streamControllers[streamId].pullCall=pullCapability,comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL,streamId,desiredSize:controller.desiredSize}),pullCapability.promise},cancel:reason=>{assert$1(reason instanceof Error,
+"cancel must have a valid reason");const cancelCapability=Promise.withResolvers();return this.streamControllers[streamId].cancelCall=cancelCapability,this.streamControllers[streamId].isClosed=!0,comObj.postMessage({sourceName,targetName,stream:StreamKind.CANCEL,streamId,reason:wrapReason(reason)}),cancelCapability.promise}},queueingStrategy)}#createStreamSink(data){const streamId=data.streamId,sourceName=this.sourceName,targetName=data.sourceName,comObj=this.comObj,self2=this,action2=this.actionHandler[data.
+action],streamSink={enqueue(chunk,size2=1,transfers){if(this.isCancelled)return;const lastDesiredSize=this.desiredSize;this.desiredSize-=size2,lastDesiredSize>0&&this.desiredSize<=0&&(this.sinkCapability=Promise.withResolvers(),this.ready=this.sinkCapability.promise),comObj.postMessage({sourceName,targetName,stream:StreamKind.ENQUEUE,streamId,chunk},transfers)},close(){this.isCancelled||(this.isCancelled=!0,comObj.postMessage({sourceName,targetName,stream:StreamKind.CLOSE,streamId}),delete self2.
+streamSinks[streamId])},error(reason){assert$1(reason instanceof Error,"error must have a valid reason"),!this.isCancelled&&(this.isCancelled=!0,comObj.postMessage({sourceName,targetName,stream:StreamKind.ERROR,streamId,reason:wrapReason(reason)}))},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:data.desiredSize,ready:null};streamSink.sinkCapability.resolve(),streamSink.ready=streamSink.sinkCapability.promise,this.streamSinks[streamId]=streamSink,Promise.
+try(action2,data.data,streamSink).then(function(){comObj.postMessage({sourceName,targetName,stream:StreamKind.START_COMPLETE,streamId,success:!0})},function(reason){comObj.postMessage({sourceName,targetName,stream:StreamKind.START_COMPLETE,streamId,reason:wrapReason(reason)})})}#processStreamMessage(data){const streamId=data.streamId,sourceName=this.sourceName,targetName=data.sourceName,comObj=this.comObj,streamController=this.streamControllers[streamId],streamSink=this.streamSinks[streamId];switch(data.
+stream){case StreamKind.START_COMPLETE:data.success?streamController.startCall.resolve():streamController.startCall.reject(wrapReason(data.reason));break;case StreamKind.PULL_COMPLETE:data.success?streamController.pullCall.resolve():streamController.pullCall.reject(wrapReason(data.reason));break;case StreamKind.PULL:if(!streamSink){comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL_COMPLETE,streamId,success:!0});break}streamSink.desiredSize<=0&&data.desiredSize>0&&streamSink.sinkCapability.
+resolve(),streamSink.desiredSize=data.desiredSize,Promise.try(streamSink.onPull||onFn).then(function(){comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL_COMPLETE,streamId,success:!0})},function(reason){comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL_COMPLETE,streamId,reason:wrapReason(reason)})});break;case StreamKind.ENQUEUE:if(assert$1(streamController,"enqueue should have stream controller"),streamController.isClosed)break;streamController.controller.enqueue(data.
+chunk);break;case StreamKind.CLOSE:if(assert$1(streamController,"close should have stream controller"),streamController.isClosed)break;streamController.isClosed=!0,streamController.controller.close(),this.#deleteStreamController(streamController,streamId);break;case StreamKind.ERROR:assert$1(streamController,"error should have stream controller"),streamController.controller.error(wrapReason(data.reason)),this.#deleteStreamController(streamController,streamId);break;case StreamKind.CANCEL_COMPLETE:
+data.success?streamController.cancelCall.resolve():streamController.cancelCall.reject(wrapReason(data.reason)),this.#deleteStreamController(streamController,streamId);break;case StreamKind.CANCEL:if(!streamSink)break;const dataReason=wrapReason(data.reason);Promise.try(streamSink.onCancel||onFn,dataReason).then(function(){comObj.postMessage({sourceName,targetName,stream:StreamKind.CANCEL_COMPLETE,streamId,success:!0})},function(reason){comObj.postMessage({sourceName,targetName,stream:StreamKind.
+CANCEL_COMPLETE,streamId,reason:wrapReason(reason)})}),streamSink.sinkCapability.reject(dataReason),streamSink.isCancelled=!0,delete this.streamSinks[streamId];break;default:throw new Error("Unexpected stream case")}}async#deleteStreamController(streamController,streamId){await Promise.allSettled([streamController.startCall?.promise,streamController.pullCall?.promise,streamController.cancelCall?.promise]),delete this.streamControllers[streamId]}destroy(){this.#messageAC?.abort(),this.#messageAC=
+null}}class BaseCanvasFactory{#enableHWA=!1;constructor({enableHWA=!1}){this.#enableHWA=enableHWA}create(width,height){if(width<=0||height<=0)throw new Error("Invalid canvas size");const canvas=this._createCanvas(width,height);return{canvas,context:canvas.getContext("2d",{willReadFrequently:!this.#enableHWA})}}reset(canvasAndContext,width,height){if(!canvasAndContext.canvas)throw new Error("Canvas is not specified");if(width<=0||height<=0)throw new Error("Invalid canvas size");canvasAndContext.canvas.
+width=width,canvasAndContext.canvas.height=height}destroy(canvasAndContext){if(!canvasAndContext.canvas)throw new Error("Canvas is not specified");canvasAndContext.canvas.width=0,canvasAndContext.canvas.height=0,canvasAndContext.canvas=null,canvasAndContext.context=null}_createCanvas(width,height){unreachable("Abstract method `_createCanvas` called.")}}class DOMCanvasFactory extends BaseCanvasFactory{constructor({ownerDocument=globalThis.document,enableHWA=!1}){super({enableHWA}),this._document=
+ownerDocument}_createCanvas(width,height){const canvas=this._document.createElement("canvas");return canvas.width=width,canvas.height=height,canvas}}class BaseCMapReaderFactory{constructor({baseUrl=null,isCompressed=!0}){this.baseUrl=baseUrl,this.isCompressed=isCompressed}async fetch({name}){if(!this.baseUrl)throw new Error("Ensure that the `cMapUrl` and `cMapPacked` API parameters are provided.");if(!name)throw new Error("CMap name must be specified.");const url2=this.baseUrl+name+(this.isCompressed?
+".bcmap":"");return this._fetch(url2).then(cMapData=>({cMapData,isCompressed:this.isCompressed})).catch(reason=>{throw new Error(`Unable to load ${this.isCompressed?"binary ":""}CMap at: ${url2}`)})}async _fetch(url2){unreachable("Abstract method `_fetch` called.")}}class DOMCMapReaderFactory extends BaseCMapReaderFactory{async _fetch(url2){const data=await fetchData(url2,this.isCompressed?"arraybuffer":"text");return data instanceof ArrayBuffer?new Uint8Array(data):stringToBytes(data)}}class BaseFilterFactory{addFilter(maps){
+return"none"}addHCMFilter(fgColor,bgColor){return"none"}addAlphaFilter(map2){return"none"}addLuminosityFilter(map2){return"none"}addHighlightHCMFilter(filterName,fgColor,bgColor,newFgColor,newBgColor){return"none"}destroy(keepHCM=!1){}}class DOMFilterFactory extends BaseFilterFactory{#baseUrl;#_cache;#_defs;#docId;#document;#_hcmCache;#id=0;constructor({docId,ownerDocument=globalThis.document}){super(),this.#docId=docId,this.#document=ownerDocument}get#cache(){return this.#_cache||=new Map}get#hcmCache(){
+return this.#_hcmCache||=new Map}get#defs(){if(!this.#_defs){const div=this.#document.createElement("div"),{style:style2}=div;style2.visibility="hidden",style2.contain="strict",style2.width=style2.height=0,style2.position="absolute",style2.top=style2.left=0,style2.zIndex=-1;const svg2=this.#document.createElementNS(SVG_NS,"svg");svg2.setAttribute("width",0),svg2.setAttribute("height",0),this.#_defs=this.#document.createElementNS(SVG_NS,"defs"),div.append(svg2),svg2.append(this.#_defs),this.#document.
+body.append(div)}return this.#_defs}#createTables(maps){if(maps.length===1){const mapR2=maps[0],buffer=new Array(256);for(let i=0;i<256;i++)buffer[i]=mapR2[i]/255;const table2=buffer.join(",");return[table2,table2,table2]}const[mapR,mapG,mapB]=maps,bufferR=new Array(256),bufferG=new Array(256),bufferB=new Array(256);for(let i=0;i<256;i++)bufferR[i]=mapR[i]/255,bufferG[i]=mapG[i]/255,bufferB[i]=mapB[i]/255;return[bufferR.join(","),bufferG.join(","),bufferB.join(",")]}#createUrl(id2){if(this.#baseUrl===
+void 0){this.#baseUrl="";const url2=this.#document.URL;url2!==this.#document.baseURI&&(isDataScheme(url2)?warn('#createUrl: ignore "data:"-URL for performance reasons.'):this.#baseUrl=updateUrlHash(url2,""))}return`url(${this.#baseUrl}#${id2})`}addFilter(maps){if(!maps)return"none";let value=this.#cache.get(maps);if(value)return value;const[tableR,tableG,tableB]=this.#createTables(maps),key2=maps.length===1?tableR:`${tableR}${tableG}${tableB}`;if(value=this.#cache.get(key2),value)return this.#cache.
+set(maps,value),value;const id2=`g_${this.#docId}_transfer_map_${this.#id++}`,url2=this.#createUrl(id2);this.#cache.set(maps,url2),this.#cache.set(key2,url2);const filter=this.#createFilter(id2);return this.#addTransferMapConversion(tableR,tableG,tableB,filter),url2}addHCMFilter(fgColor,bgColor){const key2=`${fgColor}-${bgColor}`,filterName="base";let info2=this.#hcmCache.get(filterName);if(info2?.key===key2||(info2?(info2.filter?.remove(),info2.key=key2,info2.url="none",info2.filter=null):(info2=
+{key:key2,url:"none",filter:null},this.#hcmCache.set(filterName,info2)),!fgColor||!bgColor))return info2.url;const fgRGB=this.#getRGB(fgColor);fgColor=Util.makeHexColor(...fgRGB);const bgRGB=this.#getRGB(bgColor);if(bgColor=Util.makeHexColor(...bgRGB),this.#defs.style.color="",fgColor==="#000000"&&bgColor==="#ffffff"||fgColor===bgColor)return info2.url;const map2=new Array(256);for(let i=0;i<=255;i++){const x=i/255;map2[i]=x<=.03928?x/12.92:((x+.055)/1.055)**2.4}const table2=map2.join(","),id2=`\
+g_${this.#docId}_hcm_filter`,filter=info2.filter=this.#createFilter(id2);this.#addTransferMapConversion(table2,table2,table2,filter),this.#addGrayConversion(filter);const getSteps=(c2,n)=>{const start2=fgRGB[c2]/255,end=bgRGB[c2]/255,arr=new Array(n+1);for(let i=0;i<=n;i++)arr[i]=start2+i/n*(end-start2);return arr.join(",")};return this.#addTransferMapConversion(getSteps(0,5),getSteps(1,5),getSteps(2,5),filter),info2.url=this.#createUrl(id2),info2.url}addAlphaFilter(map2){let value=this.#cache.get(
+map2);if(value)return value;const[tableA]=this.#createTables([map2]),key2=`alpha_${tableA}`;if(value=this.#cache.get(key2),value)return this.#cache.set(map2,value),value;const id2=`g_${this.#docId}_alpha_map_${this.#id++}`,url2=this.#createUrl(id2);this.#cache.set(map2,url2),this.#cache.set(key2,url2);const filter=this.#createFilter(id2);return this.#addTransferMapAlphaConversion(tableA,filter),url2}addLuminosityFilter(map2){let value=this.#cache.get(map2||"luminosity");if(value)return value;let tableA,
+key2;if(map2?([tableA]=this.#createTables([map2]),key2=`luminosity_${tableA}`):key2="luminosity",value=this.#cache.get(key2),value)return this.#cache.set(map2,value),value;const id2=`g_${this.#docId}_luminosity_map_${this.#id++}`,url2=this.#createUrl(id2);this.#cache.set(map2,url2),this.#cache.set(key2,url2);const filter=this.#createFilter(id2);return this.#addLuminosityConversion(filter),map2&&this.#addTransferMapAlphaConversion(tableA,filter),url2}addHighlightHCMFilter(filterName,fgColor,bgColor,newFgColor,newBgColor){
+const key2=`${fgColor}-${bgColor}-${newFgColor}-${newBgColor}`;let info2=this.#hcmCache.get(filterName);if(info2?.key===key2||(info2?(info2.filter?.remove(),info2.key=key2,info2.url="none",info2.filter=null):(info2={key:key2,url:"none",filter:null},this.#hcmCache.set(filterName,info2)),!fgColor||!bgColor))return info2.url;const[fgRGB,bgRGB]=[fgColor,bgColor].map(this.#getRGB.bind(this));let fgGray=Math.round(.2126*fgRGB[0]+.7152*fgRGB[1]+.0722*fgRGB[2]),bgGray=Math.round(.2126*bgRGB[0]+.7152*bgRGB[1]+
+.0722*bgRGB[2]),[newFgRGB,newBgRGB]=[newFgColor,newBgColor].map(this.#getRGB.bind(this));bgGray<fgGray&&([fgGray,bgGray,newFgRGB,newBgRGB]=[bgGray,fgGray,newBgRGB,newFgRGB]),this.#defs.style.color="";const getSteps=(fg,bg,n)=>{const arr=new Array(256),step=(bgGray-fgGray)/n,newStart=fg/255,newStep=(bg-fg)/(255*n);let prev2=0;for(let i=0;i<=n;i++){const k=Math.round(fgGray+i*step),value=newStart+i*newStep;for(let j=prev2;j<=k;j++)arr[j]=value;prev2=k+1}for(let i=prev2;i<256;i++)arr[i]=arr[prev2-1];
+return arr.join(",")},id2=`g_${this.#docId}_hcm_${filterName}_filter`,filter=info2.filter=this.#createFilter(id2);return this.#addGrayConversion(filter),this.#addTransferMapConversion(getSteps(newFgRGB[0],newBgRGB[0],5),getSteps(newFgRGB[1],newBgRGB[1],5),getSteps(newFgRGB[2],newBgRGB[2],5),filter),info2.url=this.#createUrl(id2),info2.url}destroy(keepHCM=!1){keepHCM&&this.#_hcmCache?.size||(this.#_defs?.parentNode.parentNode.remove(),this.#_defs=null,this.#_cache?.clear(),this.#_cache=null,this.#_hcmCache?.
+clear(),this.#_hcmCache=null,this.#id=0)}#addLuminosityConversion(filter){const feColorMatrix=this.#document.createElementNS(SVG_NS,"feColorMatrix");feColorMatrix.setAttribute("type","matrix"),feColorMatrix.setAttribute("values","0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.59 0.11 0 0"),filter.append(feColorMatrix)}#addGrayConversion(filter){const feColorMatrix=this.#document.createElementNS(SVG_NS,"feColorMatrix");feColorMatrix.setAttribute("type","matrix"),feColorMatrix.setAttribute("values","0.2126 0\
+.7152 0.0722 0 0 0.2126 0.7152 0.0722 0 0 0.2126 0.7152 0.0722 0 0 0 0 0 1 0"),filter.append(feColorMatrix)}#createFilter(id2){const filter=this.#document.createElementNS(SVG_NS,"filter");return filter.setAttribute("color-interpolation-filters","sRGB"),filter.setAttribute("id",id2),this.#defs.append(filter),filter}#appendFeFunc(feComponentTransfer,func,table2){const feFunc=this.#document.createElementNS(SVG_NS,func);feFunc.setAttribute("type","discrete"),feFunc.setAttribute("tableValues",table2),
+feComponentTransfer.append(feFunc)}#addTransferMapConversion(rTable,gTable,bTable,filter){const feComponentTransfer=this.#document.createElementNS(SVG_NS,"feComponentTransfer");filter.append(feComponentTransfer),this.#appendFeFunc(feComponentTransfer,"feFuncR",rTable),this.#appendFeFunc(feComponentTransfer,"feFuncG",gTable),this.#appendFeFunc(feComponentTransfer,"feFuncB",bTable)}#addTransferMapAlphaConversion(aTable,filter){const feComponentTransfer=this.#document.createElementNS(SVG_NS,"feComp\
+onentTransfer");filter.append(feComponentTransfer),this.#appendFeFunc(feComponentTransfer,"feFuncA",aTable)}#getRGB(color){return this.#defs.style.color=color,getRGB(getComputedStyle(this.#defs).getPropertyValue("color"))}}class BaseStandardFontDataFactory{constructor({baseUrl=null}){this.baseUrl=baseUrl}async fetch({filename}){if(!this.baseUrl)throw new Error("Ensure that the `standardFontDataUrl` API parameter is provided.");if(!filename)throw new Error("Font filename must be specified.");const url2=`${this.
+baseUrl}${filename}`;return this._fetch(url2).catch(reason=>{throw new Error(`Unable to load font data at: ${url2}`)})}async _fetch(url2){unreachable("Abstract method `_fetch` called.")}}class DOMStandardFontDataFactory extends BaseStandardFontDataFactory{async _fetch(url2){const data=await fetchData(url2,"arraybuffer");return new Uint8Array(data)}}class BaseWasmFactory{constructor({baseUrl=null}){this.baseUrl=baseUrl}async fetch({filename}){if(!this.baseUrl)throw new Error("Ensure that the `was\
+mUrl` API parameter is provided.");if(!filename)throw new Error("Wasm filename must be specified.");const url2=`${this.baseUrl}${filename}`;return this._fetch(url2).catch(reason=>{throw new Error(`Unable to load wasm data at: ${url2}`)})}async _fetch(url2){unreachable("Abstract method `_fetch` called.")}}class DOMWasmFactory extends BaseWasmFactory{async _fetch(url2){const data=await fetchData(url2,"arraybuffer");return new Uint8Array(data)}}isNodeJS&&warn("Please use the `legacy` build in Node.\
+js environments.");async function node_utils_fetchData(url2){const data=await process.getBuiltinModule("fs").promises.readFile(url2);return new Uint8Array(data)}class NodeFilterFactory extends BaseFilterFactory{}class NodeCanvasFactory extends BaseCanvasFactory{_createCanvas(width,height){return process.getBuiltinModule("module").createRequire(import.meta.url)("@napi-rs/canvas").createCanvas(width,height)}}class NodeCMapReaderFactory extends BaseCMapReaderFactory{async _fetch(url2){return node_utils_fetchData(
+url2)}}class NodeStandardFontDataFactory extends BaseStandardFontDataFactory{async _fetch(url2){return node_utils_fetchData(url2)}}class NodeWasmFactory extends BaseWasmFactory{async _fetch(url2){return node_utils_fetchData(url2)}}const PathType={FILL:"Fill",STROKE:"Stroke",SHADING:"Shading"};function applyBoundingBox(ctx,bbox){if(!bbox)return;const width=bbox[2]-bbox[0],height=bbox[3]-bbox[1],region=new Path2D;region.rect(bbox[0],bbox[1],width,height),ctx.clip(region)}class BaseShadingPattern{isModifyingCurrentTransform(){
+return!1}getPattern(){unreachable("Abstract method `getPattern` called.")}}class RadialAxialShadingPattern extends BaseShadingPattern{constructor(IR){super(),this._type=IR[1],this._bbox=IR[2],this._colorStops=IR[3],this._p0=IR[4],this._p1=IR[5],this._r0=IR[6],this._r1=IR[7],this.matrix=null}_createGradient(ctx){let grad;this._type==="axial"?grad=ctx.createLinearGradient(this._p0[0],this._p0[1],this._p1[0],this._p1[1]):this._type==="radial"&&(grad=ctx.createRadialGradient(this._p0[0],this._p0[1],
+this._r0,this._p1[0],this._p1[1],this._r1));for(const colorStop of this._colorStops)grad.addColorStop(colorStop[0],colorStop[1]);return grad}getPattern(ctx,owner,inverse,pathType){let pattern2;if(pathType===PathType.STROKE||pathType===PathType.FILL){const ownerBBox=owner.current.getClippedPathBoundingBox(pathType,getCurrentTransform(ctx))||[0,0,0,0],width=Math.ceil(ownerBBox[2]-ownerBBox[0])||1,height=Math.ceil(ownerBBox[3]-ownerBBox[1])||1,tmpCanvas=owner.cachedCanvases.getCanvas("pattern",width,
+height),tmpCtx=tmpCanvas.context;tmpCtx.clearRect(0,0,tmpCtx.canvas.width,tmpCtx.canvas.height),tmpCtx.beginPath(),tmpCtx.rect(0,0,tmpCtx.canvas.width,tmpCtx.canvas.height),tmpCtx.translate(-ownerBBox[0],-ownerBBox[1]),inverse=Util.transform(inverse,[1,0,0,1,ownerBBox[0],ownerBBox[1]]),tmpCtx.transform(...owner.baseTransform),this.matrix&&tmpCtx.transform(...this.matrix),applyBoundingBox(tmpCtx,this._bbox),tmpCtx.fillStyle=this._createGradient(tmpCtx),tmpCtx.fill(),pattern2=ctx.createPattern(tmpCanvas.
+canvas,"no-repeat");const domMatrix=new DOMMatrix(inverse);pattern2.setTransform(domMatrix)}else applyBoundingBox(ctx,this._bbox),pattern2=this._createGradient(ctx);return pattern2}}function drawTriangle(data,context,p1,p2,p3,c1,c2,c3){const coords=context.coords,colors=context.colors,bytes=data.data,rowSize=data.width*4;let tmp;coords[p1+1]>coords[p2+1]&&(tmp=p1,p1=p2,p2=tmp,tmp=c1,c1=c2,c2=tmp),coords[p2+1]>coords[p3+1]&&(tmp=p2,p2=p3,p3=tmp,tmp=c2,c2=c3,c3=tmp),coords[p1+1]>coords[p2+1]&&(tmp=
+p1,p1=p2,p2=tmp,tmp=c1,c1=c2,c2=tmp);const x1=(coords[p1]+context.offsetX)*context.scaleX,y1=(coords[p1+1]+context.offsetY)*context.scaleY,x2=(coords[p2]+context.offsetX)*context.scaleX,y2=(coords[p2+1]+context.offsetY)*context.scaleY,x3=(coords[p3]+context.offsetX)*context.scaleX,y3=(coords[p3+1]+context.offsetY)*context.scaleY;if(y1>=y3)return;const c1r=colors[c1],c1g=colors[c1+1],c1b=colors[c1+2],c2r=colors[c2],c2g=colors[c2+1],c2b=colors[c2+2],c3r=colors[c3],c3g=colors[c3+1],c3b=colors[c3+2],
+minY=Math.round(y1),maxY=Math.round(y3);let xa,car,cag,cab,xb,cbr,cbg,cbb;for(let y=minY;y<=maxY;y++){if(y<y2){const k2=y<y1?0:(y1-y)/(y1-y2);xa=x1-(x1-x2)*k2,car=c1r-(c1r-c2r)*k2,cag=c1g-(c1g-c2g)*k2,cab=c1b-(c1b-c2b)*k2}else{let k2;y>y3?k2=1:y2===y3?k2=0:k2=(y2-y)/(y2-y3),xa=x2-(x2-x3)*k2,car=c2r-(c2r-c3r)*k2,cag=c2g-(c2g-c3g)*k2,cab=c2b-(c2b-c3b)*k2}let k;y<y1?k=0:y>y3?k=1:k=(y1-y)/(y1-y3),xb=x1-(x1-x3)*k,cbr=c1r-(c1r-c3r)*k,cbg=c1g-(c1g-c3g)*k,cbb=c1b-(c1b-c3b)*k;const x1_=Math.round(Math.min(
+xa,xb)),x2_=Math.round(Math.max(xa,xb));let j=rowSize*y+x1_*4;for(let x=x1_;x<=x2_;x++)k=(xa-x)/(xa-xb),k<0?k=0:k>1&&(k=1),bytes[j++]=car-(car-cbr)*k|0,bytes[j++]=cag-(cag-cbg)*k|0,bytes[j++]=cab-(cab-cbb)*k|0,bytes[j++]=255}}function drawFigure(data,figure,context){const ps=figure.coords,cs=figure.colors;let i,ii;switch(figure.type){case"lattice":const verticesPerRow=figure.verticesPerRow,rows=Math.floor(ps.length/verticesPerRow)-1,cols=verticesPerRow-1;for(i=0;i<rows;i++){let q2=i*verticesPerRow;
+for(let j=0;j<cols;j++,q2++)drawTriangle(data,context,ps[q2],ps[q2+1],ps[q2+verticesPerRow],cs[q2],cs[q2+1],cs[q2+verticesPerRow]),drawTriangle(data,context,ps[q2+verticesPerRow+1],ps[q2+1],ps[q2+verticesPerRow],cs[q2+verticesPerRow+1],cs[q2+1],cs[q2+verticesPerRow])}break;case"triangles":for(i=0,ii=ps.length;i<ii;i+=3)drawTriangle(data,context,ps[i],ps[i+1],ps[i+2],cs[i],cs[i+1],cs[i+2]);break;default:throw new Error("illegal figure")}}class MeshShadingPattern extends BaseShadingPattern{constructor(IR){
+super(),this._coords=IR[2],this._colors=IR[3],this._figures=IR[4],this._bounds=IR[5],this._bbox=IR[6],this._background=IR[7],this.matrix=null}_createMeshCanvas(combinedScale,backgroundColor,cachedCanvases){const offsetX=Math.floor(this._bounds[0]),offsetY=Math.floor(this._bounds[1]),boundsWidth=Math.ceil(this._bounds[2])-offsetX,boundsHeight=Math.ceil(this._bounds[3])-offsetY,width=Math.min(Math.ceil(Math.abs(boundsWidth*combinedScale[0]*1.1)),3e3),height=Math.min(Math.ceil(Math.abs(boundsHeight*
+combinedScale[1]*1.1)),3e3),scaleX=boundsWidth/width,scaleY=boundsHeight/height,context={coords:this._coords,colors:this._colors,offsetX:-offsetX,offsetY:-offsetY,scaleX:1/scaleX,scaleY:1/scaleY},paddedWidth=width+4,paddedHeight=height+4,tmpCanvas=cachedCanvases.getCanvas("mesh",paddedWidth,paddedHeight),tmpCtx=tmpCanvas.context,data=tmpCtx.createImageData(width,height);if(backgroundColor){const bytes=data.data;for(let i=0,ii=bytes.length;i<ii;i+=4)bytes[i]=backgroundColor[0],bytes[i+1]=backgroundColor[1],
+bytes[i+2]=backgroundColor[2],bytes[i+3]=255}for(const figure of this._figures)drawFigure(data,figure,context);return tmpCtx.putImageData(data,2,2),{canvas:tmpCanvas.canvas,offsetX:offsetX-2*scaleX,offsetY:offsetY-2*scaleY,scaleX,scaleY}}isModifyingCurrentTransform(){return!0}getPattern(ctx,owner,inverse,pathType){applyBoundingBox(ctx,this._bbox);const scale2=new Float32Array(2);if(pathType===PathType.SHADING)Util.singularValueDecompose2dScale(getCurrentTransform(ctx),scale2);else if(this.matrix){
+Util.singularValueDecompose2dScale(this.matrix,scale2);const[matrixScaleX,matrixScaleY]=scale2;Util.singularValueDecompose2dScale(owner.baseTransform,scale2),scale2[0]*=matrixScaleX,scale2[1]*=matrixScaleY}else Util.singularValueDecompose2dScale(owner.baseTransform,scale2);const temporaryPatternCanvas=this._createMeshCanvas(scale2,pathType===PathType.SHADING?null:this._background,owner.cachedCanvases);return pathType!==PathType.SHADING&&(ctx.setTransform(...owner.baseTransform),this.matrix&&ctx.
+transform(...this.matrix)),ctx.translate(temporaryPatternCanvas.offsetX,temporaryPatternCanvas.offsetY),ctx.scale(temporaryPatternCanvas.scaleX,temporaryPatternCanvas.scaleY),ctx.createPattern(temporaryPatternCanvas.canvas,"no-repeat")}}class DummyShadingPattern extends BaseShadingPattern{getPattern(){return"hotpink"}}function getShadingPattern(IR){switch(IR[0]){case"RadialAxial":return new RadialAxialShadingPattern(IR);case"Mesh":return new MeshShadingPattern(IR);case"Dummy":return new DummyShadingPattern}
+throw new Error(`Unknown IR type: ${IR[0]}`)}const PaintType={COLORED:1,UNCOLORED:2};class TilingPattern{static MAX_PATTERN_SIZE=3e3;constructor(IR,ctx,canvasGraphicsFactory,baseTransform){this.color=IR[1],this.operatorList=IR[2],this.matrix=IR[3],this.bbox=IR[4],this.xstep=IR[5],this.ystep=IR[6],this.paintType=IR[7],this.tilingType=IR[8],this.ctx=ctx,this.canvasGraphicsFactory=canvasGraphicsFactory,this.baseTransform=baseTransform}createPatternCanvas(owner){const{bbox,operatorList,paintType,tilingType,
+color,canvasGraphicsFactory}=this;let{xstep,ystep}=this;xstep=Math.abs(xstep),ystep=Math.abs(ystep),info("TilingType: "+tilingType);const x0=bbox[0],y0=bbox[1],x1=bbox[2],y1=bbox[3],width=x1-x0,height=y1-y0,scale2=new Float32Array(2);Util.singularValueDecompose2dScale(this.matrix,scale2);const[matrixScaleX,matrixScaleY]=scale2;Util.singularValueDecompose2dScale(this.baseTransform,scale2);const combinedScaleX=matrixScaleX*scale2[0],combinedScaleY=matrixScaleY*scale2[1];let canvasWidth=width,canvasHeight=height,
+redrawHorizontally=!1,redrawVertically=!1;const xScaledStep=Math.ceil(xstep*combinedScaleX),yScaledStep=Math.ceil(ystep*combinedScaleY),xScaledWidth=Math.ceil(width*combinedScaleX),yScaledHeight=Math.ceil(height*combinedScaleY);xScaledStep>=xScaledWidth?canvasWidth=xstep:redrawHorizontally=!0,yScaledStep>=yScaledHeight?canvasHeight=ystep:redrawVertically=!0;const dimx=this.getSizeAndScale(canvasWidth,this.ctx.canvas.width,combinedScaleX),dimy=this.getSizeAndScale(canvasHeight,this.ctx.canvas.height,
+combinedScaleY),tmpCanvas=owner.cachedCanvases.getCanvas("pattern",dimx.size,dimy.size),tmpCtx=tmpCanvas.context,graphics=canvasGraphicsFactory.createCanvasGraphics(tmpCtx);if(graphics.groupLevel=owner.groupLevel,this.setFillAndStrokeStyleToContext(graphics,paintType,color),tmpCtx.translate(-dimx.scale*x0,-dimy.scale*y0),graphics.transform(dimx.scale,0,0,dimy.scale,0,0),tmpCtx.save(),this.clipBbox(graphics,x0,y0,x1,y1),graphics.baseTransform=getCurrentTransform(graphics.ctx),graphics.executeOperatorList(
+operatorList),graphics.endDrawing(),tmpCtx.restore(),redrawHorizontally||redrawVertically){const image2=tmpCanvas.canvas;redrawHorizontally&&(canvasWidth=xstep),redrawVertically&&(canvasHeight=ystep);const dimx2=this.getSizeAndScale(canvasWidth,this.ctx.canvas.width,combinedScaleX),dimy2=this.getSizeAndScale(canvasHeight,this.ctx.canvas.height,combinedScaleY),xSize=dimx2.size,ySize=dimy2.size,tmpCanvas2=owner.cachedCanvases.getCanvas("pattern-workaround",xSize,ySize),tmpCtx2=tmpCanvas2.context,ii=redrawHorizontally?
+Math.floor(width/xstep):0,jj=redrawVertically?Math.floor(height/ystep):0;for(let i=0;i<=ii;i++)for(let j=0;j<=jj;j++)tmpCtx2.drawImage(image2,xSize*i,ySize*j,xSize,ySize,0,0,xSize,ySize);return{canvas:tmpCanvas2.canvas,scaleX:dimx2.scale,scaleY:dimy2.scale,offsetX:x0,offsetY:y0}}return{canvas:tmpCanvas.canvas,scaleX:dimx.scale,scaleY:dimy.scale,offsetX:x0,offsetY:y0}}getSizeAndScale(step,realOutputSize,scale2){const maxSize=Math.max(TilingPattern.MAX_PATTERN_SIZE,realOutputSize);let size2=Math.ceil(
+step*scale2);return size2>=maxSize?size2=maxSize:scale2=size2/step,{scale:scale2,size:size2}}clipBbox(graphics,x0,y0,x1,y1){const bboxWidth=x1-x0,bboxHeight=y1-y0;graphics.ctx.rect(x0,y0,bboxWidth,bboxHeight),Util.axialAlignedBoundingBox([x0,y0,x1,y1],getCurrentTransform(graphics.ctx),graphics.current.minMax),graphics.clip(),graphics.endPath()}setFillAndStrokeStyleToContext(graphics,paintType,color){const context=graphics.ctx,current2=graphics.current;switch(paintType){case PaintType.COLORED:const{
+fillStyle,strokeStyle}=this.ctx;context.fillStyle=current2.fillColor=fillStyle,context.strokeStyle=current2.strokeColor=strokeStyle;break;case PaintType.UNCOLORED:context.fillStyle=context.strokeStyle=color,current2.fillColor=current2.strokeColor=color;break;default:throw new FormatError(`Unsupported paint type: ${paintType}`)}}isModifyingCurrentTransform(){return!1}getPattern(ctx,owner,inverse,pathType){let matrix=inverse;pathType!==PathType.SHADING&&(matrix=Util.transform(matrix,owner.baseTransform),
+this.matrix&&(matrix=Util.transform(matrix,this.matrix)));const temporaryPatternCanvas=this.createPatternCanvas(owner);let domMatrix=new DOMMatrix(matrix);domMatrix=domMatrix.translate(temporaryPatternCanvas.offsetX,temporaryPatternCanvas.offsetY),domMatrix=domMatrix.scale(1/temporaryPatternCanvas.scaleX,1/temporaryPatternCanvas.scaleY);const pattern2=ctx.createPattern(temporaryPatternCanvas.canvas,"repeat");return pattern2.setTransform(domMatrix),pattern2}}function convertBlackAndWhiteToRGBA({src,
+srcPos=0,dest,width,height,nonBlackColor=4294967295,inverseDecode=!1}){const black=util_FeatureTest.isLittleEndian?4278190080:255,[zeroMapping,oneMapping]=inverseDecode?[nonBlackColor,black]:[black,nonBlackColor],widthInSource=width>>3,widthRemainder=width&7,srcLength=src.length;dest=new Uint32Array(dest.buffer);let destPos=0;for(let i=0;i<height;i++){for(const max2=srcPos+widthInSource;srcPos<max2;srcPos++){const elem2=srcPos<srcLength?src[srcPos]:255;dest[destPos++]=elem2&128?oneMapping:zeroMapping,
+dest[destPos++]=elem2&64?oneMapping:zeroMapping,dest[destPos++]=elem2&32?oneMapping:zeroMapping,dest[destPos++]=elem2&16?oneMapping:zeroMapping,dest[destPos++]=elem2&8?oneMapping:zeroMapping,dest[destPos++]=elem2&4?oneMapping:zeroMapping,dest[destPos++]=elem2&2?oneMapping:zeroMapping,dest[destPos++]=elem2&1?oneMapping:zeroMapping}if(widthRemainder===0)continue;const elem=srcPos<srcLength?src[srcPos++]:255;for(let j=0;j<widthRemainder;j++)dest[destPos++]=elem&1<<7-j?oneMapping:zeroMapping}return{
+srcPos,destPos}}const MIN_FONT_SIZE=16,MAX_FONT_SIZE=100,EXECUTION_TIME=15,EXECUTION_STEPS=10,FULL_CHUNK_HEIGHT=16,SCALE_MATRIX=new DOMMatrix,XY=new Float32Array(2),MIN_MAX_INIT=new Float32Array([1/0,1/0,-1/0,-1/0]);function mirrorContextOperations(ctx,destCtx){if(ctx._removeMirroring)throw new Error("Context is already forwarding operations.");ctx.__originalSave=ctx.save,ctx.__originalRestore=ctx.restore,ctx.__originalRotate=ctx.rotate,ctx.__originalScale=ctx.scale,ctx.__originalTranslate=ctx.translate,
+ctx.__originalTransform=ctx.transform,ctx.__originalSetTransform=ctx.setTransform,ctx.__originalResetTransform=ctx.resetTransform,ctx.__originalClip=ctx.clip,ctx.__originalMoveTo=ctx.moveTo,ctx.__originalLineTo=ctx.lineTo,ctx.__originalBezierCurveTo=ctx.bezierCurveTo,ctx.__originalRect=ctx.rect,ctx.__originalClosePath=ctx.closePath,ctx.__originalBeginPath=ctx.beginPath,ctx._removeMirroring=()=>{ctx.save=ctx.__originalSave,ctx.restore=ctx.__originalRestore,ctx.rotate=ctx.__originalRotate,ctx.scale=
+ctx.__originalScale,ctx.translate=ctx.__originalTranslate,ctx.transform=ctx.__originalTransform,ctx.setTransform=ctx.__originalSetTransform,ctx.resetTransform=ctx.__originalResetTransform,ctx.clip=ctx.__originalClip,ctx.moveTo=ctx.__originalMoveTo,ctx.lineTo=ctx.__originalLineTo,ctx.bezierCurveTo=ctx.__originalBezierCurveTo,ctx.rect=ctx.__originalRect,ctx.closePath=ctx.__originalClosePath,ctx.beginPath=ctx.__originalBeginPath,delete ctx._removeMirroring},ctx.save=function(){destCtx.save(),this.__originalSave()},
+ctx.restore=function(){destCtx.restore(),this.__originalRestore()},ctx.translate=function(x,y){destCtx.translate(x,y),this.__originalTranslate(x,y)},ctx.scale=function(x,y){destCtx.scale(x,y),this.__originalScale(x,y)},ctx.transform=function(a,b,c2,d2,e,f){destCtx.transform(a,b,c2,d2,e,f),this.__originalTransform(a,b,c2,d2,e,f)},ctx.setTransform=function(a,b,c2,d2,e,f){destCtx.setTransform(a,b,c2,d2,e,f),this.__originalSetTransform(a,b,c2,d2,e,f)},ctx.resetTransform=function(){destCtx.resetTransform(),
+this.__originalResetTransform()},ctx.rotate=function(angle){destCtx.rotate(angle),this.__originalRotate(angle)},ctx.clip=function(rule){destCtx.clip(rule),this.__originalClip(rule)},ctx.moveTo=function(x,y){destCtx.moveTo(x,y),this.__originalMoveTo(x,y)},ctx.lineTo=function(x,y){destCtx.lineTo(x,y),this.__originalLineTo(x,y)},ctx.bezierCurveTo=function(cp1x,cp1y,cp2x,cp2y,x,y){destCtx.bezierCurveTo(cp1x,cp1y,cp2x,cp2y,x,y),this.__originalBezierCurveTo(cp1x,cp1y,cp2x,cp2y,x,y)},ctx.rect=function(x,y,width,height){
+destCtx.rect(x,y,width,height),this.__originalRect(x,y,width,height)},ctx.closePath=function(){destCtx.closePath(),this.__originalClosePath()},ctx.beginPath=function(){destCtx.beginPath(),this.__originalBeginPath()}}class CachedCanvases{constructor(canvasFactory){this.canvasFactory=canvasFactory,this.cache=Object.create(null)}getCanvas(id2,width,height){let canvasEntry;return this.cache[id2]!==void 0?(canvasEntry=this.cache[id2],this.canvasFactory.reset(canvasEntry,width,height)):(canvasEntry=this.
+canvasFactory.create(width,height),this.cache[id2]=canvasEntry),canvasEntry}delete(id2){delete this.cache[id2]}clear(){for(const id2 in this.cache){const canvasEntry=this.cache[id2];this.canvasFactory.destroy(canvasEntry),delete this.cache[id2]}}}function drawImageAtIntegerCoords(ctx,srcImg,srcX,srcY,srcW,srcH,destX,destY,destW,destH){const[a,b,c2,d2,tx,ty]=getCurrentTransform(ctx);if(b===0&&c2===0){const tlX=destX*a+tx,rTlX=Math.round(tlX),tlY=destY*d2+ty,rTlY=Math.round(tlY),brX=(destX+destW)*
+a+tx,rWidth=Math.abs(Math.round(brX)-rTlX)||1,brY=(destY+destH)*d2+ty,rHeight=Math.abs(Math.round(brY)-rTlY)||1;return ctx.setTransform(Math.sign(a),0,0,Math.sign(d2),rTlX,rTlY),ctx.drawImage(srcImg,srcX,srcY,srcW,srcH,0,0,rWidth,rHeight),ctx.setTransform(a,b,c2,d2,tx,ty),[rWidth,rHeight]}if(a===0&&d2===0){const tlX=destY*c2+tx,rTlX=Math.round(tlX),tlY=destX*b+ty,rTlY=Math.round(tlY),brX=(destY+destH)*c2+tx,rWidth=Math.abs(Math.round(brX)-rTlX)||1,brY=(destX+destW)*b+ty,rHeight=Math.abs(Math.round(
+brY)-rTlY)||1;return ctx.setTransform(0,Math.sign(b),Math.sign(c2),0,rTlX,rTlY),ctx.drawImage(srcImg,srcX,srcY,srcW,srcH,0,0,rHeight,rWidth),ctx.setTransform(a,b,c2,d2,tx,ty),[rHeight,rWidth]}ctx.drawImage(srcImg,srcX,srcY,srcW,srcH,destX,destY,destW,destH);const scaleX=Math.hypot(a,b),scaleY=Math.hypot(c2,d2);return[scaleX*destW,scaleY*destH]}class CanvasExtraState{alphaIsShape=!1;fontSize=0;fontSizeScale=1;textMatrix=null;textMatrixScale=1;fontMatrix=FONT_IDENTITY_MATRIX;leading=0;x=0;y=0;lineX=0;lineY=0;charSpacing=0;wordSpacing=0;textHScale=1;textRenderingMode=TextRenderingMode.
+FILL;textRise=0;fillColor="#000000";strokeColor="#000000";patternFill=!1;patternStroke=!1;fillAlpha=1;strokeAlpha=1;lineWidth=1;activeSMask=null;transferMaps="none";constructor(width,height){this.clipBox=new Float32Array([0,0,width,height]),this.minMax=MIN_MAX_INIT.slice()}clone(){const clone2=Object.create(this);return clone2.clipBox=this.clipBox.slice(),clone2.minMax=this.minMax.slice(),clone2}getPathBoundingBox(pathType=PathType.FILL,transform2=null){const box2=this.minMax.slice();if(pathType===
+PathType.STROKE){transform2||unreachable("Stroke bounding box must include transform."),Util.singularValueDecompose2dScale(transform2,XY);const xStrokePad=XY[0]*this.lineWidth/2,yStrokePad=XY[1]*this.lineWidth/2;box2[0]-=xStrokePad,box2[1]-=yStrokePad,box2[2]+=xStrokePad,box2[3]+=yStrokePad}return box2}updateClipFromPath(){const intersect=Util.intersect(this.clipBox,this.getPathBoundingBox());this.startNewPathAndClipBox(intersect||[0,0,0,0])}isEmptyClip(){return this.minMax[0]===1/0}startNewPathAndClipBox(box2){
+this.clipBox.set(box2,0),this.minMax.set(MIN_MAX_INIT,0)}getClippedPathBoundingBox(pathType=PathType.FILL,transform2=null){return Util.intersect(this.clipBox,this.getPathBoundingBox(pathType,transform2))}}function putBinaryImageData(ctx,imgData){if(imgData instanceof ImageData){ctx.putImageData(imgData,0,0);return}const height=imgData.height,width=imgData.width,partialChunkHeight=height%FULL_CHUNK_HEIGHT,fullChunks=(height-partialChunkHeight)/FULL_CHUNK_HEIGHT,totalChunks=partialChunkHeight===0?
+fullChunks:fullChunks+1,chunkImgData=ctx.createImageData(width,FULL_CHUNK_HEIGHT);let srcPos=0,destPos;const src=imgData.data,dest=chunkImgData.data;let i,j,thisChunkHeight,elemsInThisChunk;if(imgData.kind===util_ImageKind.GRAYSCALE_1BPP){const srcLength=src.byteLength,dest32=new Uint32Array(dest.buffer,0,dest.byteLength>>2),dest32DataLength=dest32.length,fullSrcDiff=width+7>>3,white=4294967295,black=util_FeatureTest.isLittleEndian?4278190080:255;for(i=0;i<totalChunks;i++){for(thisChunkHeight=i<
+fullChunks?FULL_CHUNK_HEIGHT:partialChunkHeight,destPos=0,j=0;j<thisChunkHeight;j++){const srcDiff=srcLength-srcPos;let k=0;const kEnd=srcDiff>fullSrcDiff?width:srcDiff*8-7,kEndUnrolled=kEnd&-8;let mask=0,srcByte=0;for(;k<kEndUnrolled;k+=8)srcByte=src[srcPos++],dest32[destPos++]=srcByte&128?white:black,dest32[destPos++]=srcByte&64?white:black,dest32[destPos++]=srcByte&32?white:black,dest32[destPos++]=srcByte&16?white:black,dest32[destPos++]=srcByte&8?white:black,dest32[destPos++]=srcByte&4?white:
+black,dest32[destPos++]=srcByte&2?white:black,dest32[destPos++]=srcByte&1?white:black;for(;k<kEnd;k++)mask===0&&(srcByte=src[srcPos++],mask=128),dest32[destPos++]=srcByte&mask?white:black,mask>>=1}for(;destPos<dest32DataLength;)dest32[destPos++]=0;ctx.putImageData(chunkImgData,0,i*FULL_CHUNK_HEIGHT)}}else if(imgData.kind===util_ImageKind.RGBA_32BPP){for(j=0,elemsInThisChunk=width*FULL_CHUNK_HEIGHT*4,i=0;i<fullChunks;i++)dest.set(src.subarray(srcPos,srcPos+elemsInThisChunk)),srcPos+=elemsInThisChunk,
+ctx.putImageData(chunkImgData,0,j),j+=FULL_CHUNK_HEIGHT;i<totalChunks&&(elemsInThisChunk=width*partialChunkHeight*4,dest.set(src.subarray(srcPos,srcPos+elemsInThisChunk)),ctx.putImageData(chunkImgData,0,j))}else if(imgData.kind===util_ImageKind.RGB_24BPP)for(thisChunkHeight=FULL_CHUNK_HEIGHT,elemsInThisChunk=width*thisChunkHeight,i=0;i<totalChunks;i++){for(i>=fullChunks&&(thisChunkHeight=partialChunkHeight,elemsInThisChunk=width*thisChunkHeight),destPos=0,j=elemsInThisChunk;j--;)dest[destPos++]=
+src[srcPos++],dest[destPos++]=src[srcPos++],dest[destPos++]=src[srcPos++],dest[destPos++]=255;ctx.putImageData(chunkImgData,0,i*FULL_CHUNK_HEIGHT)}else throw new Error(`bad image kind: ${imgData.kind}`)}function putBinaryImageMask(ctx,imgData){if(imgData.bitmap){ctx.drawImage(imgData.bitmap,0,0);return}const height=imgData.height,width=imgData.width,partialChunkHeight=height%FULL_CHUNK_HEIGHT,fullChunks=(height-partialChunkHeight)/FULL_CHUNK_HEIGHT,totalChunks=partialChunkHeight===0?fullChunks:fullChunks+
+1,chunkImgData=ctx.createImageData(width,FULL_CHUNK_HEIGHT);let srcPos=0;const src=imgData.data,dest=chunkImgData.data;for(let i=0;i<totalChunks;i++){const thisChunkHeight=i<fullChunks?FULL_CHUNK_HEIGHT:partialChunkHeight;({srcPos}=convertBlackAndWhiteToRGBA({src,srcPos,dest,width,height:thisChunkHeight,nonBlackColor:0})),ctx.putImageData(chunkImgData,0,i*FULL_CHUNK_HEIGHT)}}function copyCtxState(sourceCtx,destCtx){const properties2=["strokeStyle","fillStyle","fillRule","globalAlpha","lineWidth",
+"lineCap","lineJoin","miterLimit","globalCompositeOperation","font","filter"];for(const property of properties2)sourceCtx[property]!==void 0&&(destCtx[property]=sourceCtx[property]);sourceCtx.setLineDash!==void 0&&(destCtx.setLineDash(sourceCtx.getLineDash()),destCtx.lineDashOffset=sourceCtx.lineDashOffset)}function resetCtxToDefault(ctx){ctx.strokeStyle=ctx.fillStyle="#000000",ctx.fillRule="nonzero",ctx.globalAlpha=1,ctx.lineWidth=1,ctx.lineCap="butt",ctx.lineJoin="miter",ctx.miterLimit=10,ctx.
+globalCompositeOperation="source-over",ctx.font="10px sans-serif",ctx.setLineDash!==void 0&&(ctx.setLineDash([]),ctx.lineDashOffset=0);const{filter}=ctx;filter!=="none"&&filter!==""&&(ctx.filter="none")}function getImageSmoothingEnabled(transform2,interpolate){if(interpolate)return!0;Util.singularValueDecompose2dScale(transform2,XY);const actualScale=Math.fround(OutputScale.pixelRatio*PixelsPerInch.PDF_TO_CSS_UNITS);return XY[0]<=actualScale&&XY[1]<=actualScale}const LINE_CAP_STYLES=["butt","rou\
+nd","square"],LINE_JOIN_STYLES=["miter","round","bevel"],NORMAL_CLIP={},EO_CLIP={};class CanvasGraphics{constructor(canvasCtx,commonObjs,objs,canvasFactory,filterFactory,{optionalContentConfig,markedContentStack=null},annotationCanvasMap,pageColors){this.ctx=canvasCtx,this.current=new CanvasExtraState(this.ctx.canvas.width,this.ctx.canvas.height),this.stateStack=[],this.pendingClip=null,this.pendingEOFill=!1,this.res=null,this.xobjs=null,this.commonObjs=commonObjs,this.objs=objs,this.canvasFactory=
+canvasFactory,this.filterFactory=filterFactory,this.groupStack=[],this.baseTransform=null,this.baseTransformStack=[],this.groupLevel=0,this.smaskStack=[],this.smaskCounter=0,this.tempSMask=null,this.suspendedCtx=null,this.contentVisible=!0,this.markedContentStack=markedContentStack||[],this.optionalContentConfig=optionalContentConfig,this.cachedCanvases=new CachedCanvases(this.canvasFactory),this.cachedPatterns=new Map,this.annotationCanvasMap=annotationCanvasMap,this.viewportScale=1,this.outputScaleX=
+1,this.outputScaleY=1,this.pageColors=pageColors,this._cachedScaleForStroking=[-1,0],this._cachedGetSinglePixelWidth=null,this._cachedBitmapsMap=new Map}getObject(data,fallback2=null){return typeof data=="string"?data.startsWith("g_")?this.commonObjs.get(data):this.objs.get(data):fallback2}beginDrawing({transform:transform2,viewport,transparency=!1,background=null}){const width=this.ctx.canvas.width,height=this.ctx.canvas.height,savedFillStyle=this.ctx.fillStyle;if(this.ctx.fillStyle=background||
+"#ffffff",this.ctx.fillRect(0,0,width,height),this.ctx.fillStyle=savedFillStyle,transparency){const transparentCanvas=this.cachedCanvases.getCanvas("transparent",width,height);this.compositeCtx=this.ctx,this.transparentCanvas=transparentCanvas.canvas,this.ctx=transparentCanvas.context,this.ctx.save(),this.ctx.transform(...getCurrentTransform(this.compositeCtx))}this.ctx.save(),resetCtxToDefault(this.ctx),transform2&&(this.ctx.transform(...transform2),this.outputScaleX=transform2[0],this.outputScaleY=
+transform2[0]),this.ctx.transform(...viewport.transform),this.viewportScale=viewport.scale,this.baseTransform=getCurrentTransform(this.ctx)}executeOperatorList(operatorList,executionStartIdx,continueCallback,stepper){const argsArray=operatorList.argsArray,fnArray=operatorList.fnArray;let i=executionStartIdx||0;const argsArrayLen=argsArray.length;if(argsArrayLen===i)return i;const chunkOperations=argsArrayLen-i>EXECUTION_STEPS&&typeof continueCallback=="function",endTime=chunkOperations?Date.now()+
+EXECUTION_TIME:0;let steps=0;const commonObjs=this.commonObjs,objs=this.objs;let fnId;for(;;){if(stepper!==void 0&&i===stepper.nextBreakPoint)return stepper.breakIt(i,continueCallback),i;if(fnId=fnArray[i],fnId!==OPS.dependency)this[fnId].apply(this,argsArray[i]);else for(const depObjId of argsArray[i]){const objsPool=depObjId.startsWith("g_")?commonObjs:objs;if(!objsPool.has(depObjId))return objsPool.get(depObjId,continueCallback),i}if(i++,i===argsArrayLen)return i;if(chunkOperations&&++steps>EXECUTION_STEPS){
+if(Date.now()>endTime)return continueCallback(),i;steps=0}}}#restoreInitialState(){for(;this.stateStack.length||this.inSMaskMode;)this.restore();this.current.activeSMask=null,this.ctx.restore(),this.transparentCanvas&&(this.ctx=this.compositeCtx,this.ctx.save(),this.ctx.setTransform(1,0,0,1,0,0),this.ctx.drawImage(this.transparentCanvas,0,0),this.ctx.restore(),this.transparentCanvas=null)}endDrawing(){this.#restoreInitialState(),this.cachedCanvases.clear(),this.cachedPatterns.clear();for(const cache2 of this.
+_cachedBitmapsMap.values()){for(const canvas of cache2.values())typeof HTMLCanvasElement<"u"&&canvas instanceof HTMLCanvasElement&&(canvas.width=canvas.height=0);cache2.clear()}this._cachedBitmapsMap.clear(),this.#drawFilter()}#drawFilter(){if(this.pageColors){const hcmFilterId=this.filterFactory.addHCMFilter(this.pageColors.foreground,this.pageColors.background);if(hcmFilterId!=="none"){const savedFilter=this.ctx.filter;this.ctx.filter=hcmFilterId,this.ctx.drawImage(this.ctx.canvas,0,0),this.ctx.
+filter=savedFilter}}}_scaleImage(img,inverseTransform){const width=img.width??img.displayWidth,height=img.height??img.displayHeight;let widthScale=Math.max(Math.hypot(inverseTransform[0],inverseTransform[1]),1),heightScale=Math.max(Math.hypot(inverseTransform[2],inverseTransform[3]),1),paintWidth=width,paintHeight=height,tmpCanvasId="prescale1",tmpCanvas,tmpCtx;for(;widthScale>2&&paintWidth>1||heightScale>2&&paintHeight>1;){let newWidth=paintWidth,newHeight=paintHeight;widthScale>2&&paintWidth>1&&
+(newWidth=paintWidth>=16384?Math.floor(paintWidth/2)-1||1:Math.ceil(paintWidth/2),widthScale/=paintWidth/newWidth),heightScale>2&&paintHeight>1&&(newHeight=paintHeight>=16384?Math.floor(paintHeight/2)-1||1:Math.ceil(paintHeight)/2,heightScale/=paintHeight/newHeight),tmpCanvas=this.cachedCanvases.getCanvas(tmpCanvasId,newWidth,newHeight),tmpCtx=tmpCanvas.context,tmpCtx.clearRect(0,0,newWidth,newHeight),tmpCtx.drawImage(img,0,0,paintWidth,paintHeight,0,0,newWidth,newHeight),img=tmpCanvas.canvas,paintWidth=
+newWidth,paintHeight=newHeight,tmpCanvasId=tmpCanvasId==="prescale1"?"prescale2":"prescale1"}return{img,paintWidth,paintHeight}}_createMaskCanvas(img){const ctx=this.ctx,{width,height}=img,fillColor=this.current.fillColor,isPatternFill=this.current.patternFill,currentTransform=getCurrentTransform(ctx);let cache2,cacheKey,scaled,maskCanvas;if((img.bitmap||img.data)&&img.count>1){const mainKey=img.bitmap||img.data.buffer;cacheKey=JSON.stringify(isPatternFill?currentTransform:[currentTransform.slice(
+0,4),fillColor]),cache2=this._cachedBitmapsMap.get(mainKey),cache2||(cache2=new Map,this._cachedBitmapsMap.set(mainKey,cache2));const cachedImage=cache2.get(cacheKey);if(cachedImage&&!isPatternFill){const offsetX2=Math.round(Math.min(currentTransform[0],currentTransform[2])+currentTransform[4]),offsetY2=Math.round(Math.min(currentTransform[1],currentTransform[3])+currentTransform[5]);return{canvas:cachedImage,offsetX:offsetX2,offsetY:offsetY2}}scaled=cachedImage}scaled||(maskCanvas=this.cachedCanvases.
+getCanvas("maskCanvas",width,height),putBinaryImageMask(maskCanvas.context,img));let maskToCanvas=Util.transform(currentTransform,[1/width,0,0,-1/height,0,0]);maskToCanvas=Util.transform(maskToCanvas,[1,0,0,1,0,-height]);const minMax=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox([0,0,width,height],maskToCanvas,minMax);const[minX,minY,maxX,maxY]=minMax,drawnWidth=Math.round(maxX-minX)||1,drawnHeight=Math.round(maxY-minY)||1,fillCanvas=this.cachedCanvases.getCanvas("fillCanvas",drawnWidth,drawnHeight),
+fillCtx=fillCanvas.context,offsetX=minX,offsetY=minY;fillCtx.translate(-offsetX,-offsetY),fillCtx.transform(...maskToCanvas),scaled||(scaled=this._scaleImage(maskCanvas.canvas,getCurrentTransformInverse(fillCtx)),scaled=scaled.img,cache2&&isPatternFill&&cache2.set(cacheKey,scaled)),fillCtx.imageSmoothingEnabled=getImageSmoothingEnabled(getCurrentTransform(fillCtx),img.interpolate),drawImageAtIntegerCoords(fillCtx,scaled,0,0,scaled.width,scaled.height,0,0,width,height),fillCtx.globalCompositeOperation=
+"source-in";const inverse=Util.transform(getCurrentTransformInverse(fillCtx),[1,0,0,1,-offsetX,-offsetY]);return fillCtx.fillStyle=isPatternFill?fillColor.getPattern(ctx,this,inverse,PathType.FILL):fillColor,fillCtx.fillRect(0,0,width,height),cache2&&!isPatternFill&&(this.cachedCanvases.delete("fillCanvas"),cache2.set(cacheKey,fillCanvas.canvas)),{canvas:fillCanvas.canvas,offsetX:Math.round(offsetX),offsetY:Math.round(offsetY)}}setLineWidth(width){width!==this.current.lineWidth&&(this._cachedScaleForStroking[0]=
+-1),this.current.lineWidth=width,this.ctx.lineWidth=width}setLineCap(style2){this.ctx.lineCap=LINE_CAP_STYLES[style2]}setLineJoin(style2){this.ctx.lineJoin=LINE_JOIN_STYLES[style2]}setMiterLimit(limit2){this.ctx.miterLimit=limit2}setDash(dashArray,dashPhase){const ctx=this.ctx;ctx.setLineDash!==void 0&&(ctx.setLineDash(dashArray),ctx.lineDashOffset=dashPhase)}setRenderingIntent(intent){}setFlatness(flatness){}setGState(states){for(const[key2,value]of states)switch(key2){case"LW":this.setLineWidth(
+value);break;case"LC":this.setLineCap(value);break;case"LJ":this.setLineJoin(value);break;case"ML":this.setMiterLimit(value);break;case"D":this.setDash(value[0],value[1]);break;case"RI":this.setRenderingIntent(value);break;case"FL":this.setFlatness(value);break;case"Font":this.setFont(value[0],value[1]);break;case"CA":this.current.strokeAlpha=value;break;case"ca":this.ctx.globalAlpha=this.current.fillAlpha=value;break;case"BM":this.ctx.globalCompositeOperation=value;break;case"SMask":this.current.
+activeSMask=value?this.tempSMask:null,this.tempSMask=null,this.checkSMaskState();break;case"TR":this.ctx.filter=this.current.transferMaps=this.filterFactory.addFilter(value);break}}get inSMaskMode(){return!!this.suspendedCtx}checkSMaskState(){const inSMaskMode=this.inSMaskMode;this.current.activeSMask&&!inSMaskMode?this.beginSMaskMode():!this.current.activeSMask&&inSMaskMode&&this.endSMaskMode()}beginSMaskMode(){if(this.inSMaskMode)throw new Error("beginSMaskMode called while already in smask mo\
+de");const drawnWidth=this.ctx.canvas.width,drawnHeight=this.ctx.canvas.height,cacheId="smaskGroupAt"+this.groupLevel,scratchCanvas=this.cachedCanvases.getCanvas(cacheId,drawnWidth,drawnHeight);this.suspendedCtx=this.ctx;const ctx=this.ctx=scratchCanvas.context;ctx.setTransform(this.suspendedCtx.getTransform()),copyCtxState(this.suspendedCtx,ctx),mirrorContextOperations(ctx,this.suspendedCtx),this.setGState([["BM","source-over"]])}endSMaskMode(){if(!this.inSMaskMode)throw new Error("endSMaskMode\
+ called while not in smask mode");this.ctx._removeMirroring(),copyCtxState(this.ctx,this.suspendedCtx),this.ctx=this.suspendedCtx,this.suspendedCtx=null}compose(dirtyBox){if(!this.current.activeSMask)return;dirtyBox?(dirtyBox[0]=Math.floor(dirtyBox[0]),dirtyBox[1]=Math.floor(dirtyBox[1]),dirtyBox[2]=Math.ceil(dirtyBox[2]),dirtyBox[3]=Math.ceil(dirtyBox[3])):dirtyBox=[0,0,this.ctx.canvas.width,this.ctx.canvas.height];const smask=this.current.activeSMask,suspendedCtx=this.suspendedCtx;this.composeSMask(
+suspendedCtx,smask,this.ctx,dirtyBox),this.ctx.save(),this.ctx.setTransform(1,0,0,1,0,0),this.ctx.clearRect(0,0,this.ctx.canvas.width,this.ctx.canvas.height),this.ctx.restore()}composeSMask(ctx,smask,layerCtx,layerBox){const layerOffsetX=layerBox[0],layerOffsetY=layerBox[1],layerWidth=layerBox[2]-layerOffsetX,layerHeight=layerBox[3]-layerOffsetY;layerWidth===0||layerHeight===0||(this.genericComposeSMask(smask.context,layerCtx,layerWidth,layerHeight,smask.subtype,smask.backdrop,smask.transferMap,
+layerOffsetX,layerOffsetY,smask.offsetX,smask.offsetY),ctx.save(),ctx.globalAlpha=1,ctx.globalCompositeOperation="source-over",ctx.setTransform(1,0,0,1,0,0),ctx.drawImage(layerCtx.canvas,0,0),ctx.restore())}genericComposeSMask(maskCtx,layerCtx,width,height,subtype,backdrop,transferMap,layerOffsetX,layerOffsetY,maskOffsetX,maskOffsetY){let maskCanvas=maskCtx.canvas,maskX=layerOffsetX-maskOffsetX,maskY=layerOffsetY-maskOffsetY;if(backdrop)if(maskX<0||maskY<0||maskX+width>maskCanvas.width||maskY+height>
+maskCanvas.height){const canvas=this.cachedCanvases.getCanvas("maskExtension",width,height),ctx=canvas.context;ctx.drawImage(maskCanvas,-maskX,-maskY),ctx.globalCompositeOperation="destination-atop",ctx.fillStyle=backdrop,ctx.fillRect(0,0,width,height),ctx.globalCompositeOperation="source-over",maskCanvas=canvas.canvas,maskX=maskY=0}else{maskCtx.save(),maskCtx.globalAlpha=1,maskCtx.setTransform(1,0,0,1,0,0);const clip2=new Path2D;clip2.rect(maskX,maskY,width,height),maskCtx.clip(clip2),maskCtx.globalCompositeOperation=
+"destination-atop",maskCtx.fillStyle=backdrop,maskCtx.fillRect(maskX,maskY,width,height),maskCtx.restore()}layerCtx.save(),layerCtx.globalAlpha=1,layerCtx.setTransform(1,0,0,1,0,0),subtype==="Alpha"&&transferMap?layerCtx.filter=this.filterFactory.addAlphaFilter(transferMap):subtype==="Luminosity"&&(layerCtx.filter=this.filterFactory.addLuminosityFilter(transferMap));const clip=new Path2D;clip.rect(layerOffsetX,layerOffsetY,width,height),layerCtx.clip(clip),layerCtx.globalCompositeOperation="dest\
+ination-in",layerCtx.drawImage(maskCanvas,maskX,maskY,width,height,layerOffsetX,layerOffsetY,width,height),layerCtx.restore()}save(){this.inSMaskMode&&copyCtxState(this.ctx,this.suspendedCtx),this.ctx.save();const old=this.current;this.stateStack.push(old),this.current=old.clone()}restore(){if(this.stateStack.length===0){this.inSMaskMode&&this.endSMaskMode();return}this.current=this.stateStack.pop(),this.ctx.restore(),this.inSMaskMode&&copyCtxState(this.suspendedCtx,this.ctx),this.checkSMaskState(),
+this.pendingClip=null,this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null}transform(a,b,c2,d2,e,f){this.ctx.transform(a,b,c2,d2,e,f),this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null}constructPath(op2,data,minMax){let[path2]=data;if(!minMax){path2||=data[0]=new Path2D,this[op2](path2);return}if(!(path2 instanceof Path2D)){const path2d=data[0]=new Path2D;for(let i=0,ii=path2.length;i<ii;)switch(path2[i++]){case DrawOPS.moveTo:path2d.moveTo(path2[i++],path2[i++]);
+break;case DrawOPS.lineTo:path2d.lineTo(path2[i++],path2[i++]);break;case DrawOPS.curveTo:path2d.bezierCurveTo(path2[i++],path2[i++],path2[i++],path2[i++],path2[i++],path2[i++]);break;case DrawOPS.closePath:path2d.closePath();break;default:warn(`Unrecognized drawing path operator: ${path2[i-1]}`);break}path2=path2d}Util.axialAlignedBoundingBox(minMax,getCurrentTransform(this.ctx),this.current.minMax),this[op2](path2)}closePath(){this.ctx.closePath()}stroke(path2,consumePath=!0){const ctx=this.ctx,
+strokeColor=this.current.strokeColor;if(ctx.globalAlpha=this.current.strokeAlpha,this.contentVisible)if(typeof strokeColor=="object"&&strokeColor?.getPattern){const baseTransform=strokeColor.isModifyingCurrentTransform()?ctx.getTransform():null;if(ctx.save(),ctx.strokeStyle=strokeColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.STROKE),baseTransform){const newPath=new Path2D;newPath.addPath(path2,ctx.getTransform().invertSelf().multiplySelf(baseTransform)),path2=newPath}this.rescaleAndStroke(
+path2,!1),ctx.restore()}else this.rescaleAndStroke(path2,!0);consumePath&&this.consumePath(path2,this.current.getClippedPathBoundingBox(PathType.STROKE,getCurrentTransform(this.ctx))),ctx.globalAlpha=this.current.fillAlpha}closeStroke(path2){this.stroke(path2)}fill(path2,consumePath=!0){const ctx=this.ctx,fillColor=this.current.fillColor,isPatternFill=this.current.patternFill;let needRestore=!1;if(isPatternFill){const baseTransform=fillColor.isModifyingCurrentTransform()?ctx.getTransform():null;
+if(ctx.save(),ctx.fillStyle=fillColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.FILL),baseTransform){const newPath=new Path2D;newPath.addPath(path2,ctx.getTransform().invertSelf().multiplySelf(baseTransform)),path2=newPath}needRestore=!0}const intersect=this.current.getClippedPathBoundingBox();this.contentVisible&&intersect!==null&&(this.pendingEOFill?(ctx.fill(path2,"evenodd"),this.pendingEOFill=!1):ctx.fill(path2)),needRestore&&ctx.restore(),consumePath&&this.consumePath(path2,
+intersect)}eoFill(path2){this.pendingEOFill=!0,this.fill(path2)}fillStroke(path2){this.fill(path2,!1),this.stroke(path2,!1),this.consumePath(path2)}eoFillStroke(path2){this.pendingEOFill=!0,this.fillStroke(path2)}closeFillStroke(path2){this.fillStroke(path2)}closeEOFillStroke(path2){this.pendingEOFill=!0,this.fillStroke(path2)}endPath(path2){this.consumePath(path2)}rawFillPath(path2){this.ctx.fill(path2)}clip(){this.pendingClip=NORMAL_CLIP}eoClip(){this.pendingClip=EO_CLIP}beginText(){this.current.
+textMatrix=null,this.current.textMatrixScale=1,this.current.x=this.current.lineX=0,this.current.y=this.current.lineY=0}endText(){const paths=this.pendingTextPaths,ctx=this.ctx;if(paths===void 0)return;const newPath=new Path2D,invTransf=ctx.getTransform().invertSelf();for(const{transform:transform2,x,y,fontSize,path:path2}of paths)path2&&newPath.addPath(path2,new DOMMatrix(transform2).preMultiplySelf(invTransf).translate(x,y).scale(fontSize,-fontSize));ctx.clip(newPath),delete this.pendingTextPaths}setCharSpacing(spacing2){
+this.current.charSpacing=spacing2}setWordSpacing(spacing2){this.current.wordSpacing=spacing2}setHScale(scale2){this.current.textHScale=scale2/100}setLeading(leading){this.current.leading=-leading}setFont(fontRefName,size2){const fontObj=this.commonObjs.get(fontRefName),current2=this.current;if(!fontObj)throw new Error(`Can't find font for ${fontRefName}`);if(current2.fontMatrix=fontObj.fontMatrix||FONT_IDENTITY_MATRIX,(current2.fontMatrix[0]===0||current2.fontMatrix[3]===0)&&warn("Invalid font m\
+atrix for font "+fontRefName),size2<0?(size2=-size2,current2.fontDirection=-1):current2.fontDirection=1,this.current.font=fontObj,this.current.fontSize=size2,fontObj.isType3Font)return;const name=fontObj.loadedName||"sans-serif",typeface=fontObj.systemFontInfo?.css||`"${name}", ${fontObj.fallbackName}`;let bold="normal";fontObj.black?bold="900":fontObj.bold&&(bold="bold");const italic=fontObj.italic?"italic":"normal";let browserFontSize=size2;size2<MIN_FONT_SIZE?browserFontSize=MIN_FONT_SIZE:size2>
+MAX_FONT_SIZE&&(browserFontSize=MAX_FONT_SIZE),this.current.fontSizeScale=size2/browserFontSize,this.ctx.font=`${italic} ${bold} ${browserFontSize}px ${typeface}`}setTextRenderingMode(mode){this.current.textRenderingMode=mode}setTextRise(rise){this.current.textRise=rise}moveText(x,y){this.current.x=this.current.lineX+=x,this.current.y=this.current.lineY+=y}setLeadingMoveText(x,y){this.setLeading(-y),this.moveText(x,y)}setTextMatrix(matrix){const{current:current2}=this;current2.textMatrix=matrix,
+current2.textMatrixScale=Math.hypot(matrix[0],matrix[1]),current2.x=current2.lineX=0,current2.y=current2.lineY=0}nextLine(){this.moveText(0,this.current.leading)}#getScaledPath(path2,currentTransform,transform2){const newPath=new Path2D;return newPath.addPath(path2,new DOMMatrix(transform2).invertSelf().multiplySelf(currentTransform)),newPath}paintChar(character,x,y,patternFillTransform,patternStrokeTransform){const ctx=this.ctx,current2=this.current,font=current2.font,textRenderingMode=current2.
+textRenderingMode,fontSize=current2.fontSize/current2.fontSizeScale,fillStrokeMode=textRenderingMode&TextRenderingMode.FILL_STROKE_MASK,isAddToPathSet=!!(textRenderingMode&TextRenderingMode.ADD_TO_PATH_FLAG),patternFill=current2.patternFill&&!font.missingFile,patternStroke=current2.patternStroke&&!font.missingFile;let path2;if((font.disableFontFace||isAddToPathSet||patternFill||patternStroke)&&!font.missingFile&&(path2=font.getPathGenerator(this.commonObjs,character)),path2&&(font.disableFontFace||
+patternFill||patternStroke)){ctx.save(),ctx.translate(x,y),ctx.scale(fontSize,-fontSize);let currentTransform;if((fillStrokeMode===TextRenderingMode.FILL||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&(patternFillTransform?(currentTransform=ctx.getTransform(),ctx.setTransform(...patternFillTransform),ctx.fill(this.#getScaledPath(path2,currentTransform,patternFillTransform))):ctx.fill(path2)),fillStrokeMode===TextRenderingMode.STROKE||fillStrokeMode===TextRenderingMode.FILL_STROKE)if(patternStrokeTransform){
+currentTransform||=ctx.getTransform(),ctx.setTransform(...patternStrokeTransform);const{a,b,c:c2,d:d2}=currentTransform,invPatternTransform=Util.inverseTransform(patternStrokeTransform),transf=Util.transform([a,b,c2,d2,0,0],invPatternTransform);Util.singularValueDecompose2dScale(transf,XY),ctx.lineWidth*=Math.max(XY[0],XY[1])/fontSize,ctx.stroke(this.#getScaledPath(path2,currentTransform,patternStrokeTransform))}else ctx.lineWidth/=fontSize,ctx.stroke(path2);ctx.restore()}else(fillStrokeMode===TextRenderingMode.
+FILL||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&ctx.fillText(character,x,y),(fillStrokeMode===TextRenderingMode.STROKE||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&ctx.strokeText(character,x,y);isAddToPathSet&&(this.pendingTextPaths||=[]).push({transform:getCurrentTransform(ctx),x,y,fontSize,path:path2})}get isFontSubpixelAAEnabled(){const{context:ctx}=this.cachedCanvases.getCanvas("isFontSubpixelAAEnabled",10,10);ctx.scale(1.5,1),ctx.fillText("I",0,10);const data=ctx.getImageData(0,
+0,10,10).data;let enabled=!1;for(let i=3;i<data.length;i+=4)if(data[i]>0&&data[i]<255){enabled=!0;break}return shadow(this,"isFontSubpixelAAEnabled",enabled)}showText(glyphs){const current2=this.current,font=current2.font;if(font.isType3Font)return this.showType3Text(glyphs);const fontSize=current2.fontSize;if(fontSize===0)return;const ctx=this.ctx,fontSizeScale=current2.fontSizeScale,charSpacing=current2.charSpacing,wordSpacing=current2.wordSpacing,fontDirection=current2.fontDirection,textHScale=current2.
+textHScale*fontDirection,glyphsLength=glyphs.length,vertical=font.vertical,spacingDir=vertical?1:-1,defaultVMetrics=font.defaultVMetrics,widthAdvanceScale=fontSize*current2.fontMatrix[0],simpleFillText=current2.textRenderingMode===TextRenderingMode.FILL&&!font.disableFontFace&&!current2.patternFill;ctx.save(),current2.textMatrix&&ctx.transform(...current2.textMatrix),ctx.translate(current2.x,current2.y+current2.textRise),fontDirection>0?ctx.scale(textHScale,-1):ctx.scale(textHScale,1);let patternFillTransform,
+patternStrokeTransform;if(current2.patternFill){ctx.save();const pattern2=current2.fillColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.FILL);patternFillTransform=getCurrentTransform(ctx),ctx.restore(),ctx.fillStyle=pattern2}if(current2.patternStroke){ctx.save();const pattern2=current2.strokeColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.STROKE);patternStrokeTransform=getCurrentTransform(ctx),ctx.restore(),ctx.strokeStyle=pattern2}let lineWidth=current2.lineWidth;
+const scale2=current2.textMatrixScale;if(scale2===0||lineWidth===0){const fillStrokeMode=current2.textRenderingMode&TextRenderingMode.FILL_STROKE_MASK;(fillStrokeMode===TextRenderingMode.STROKE||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&(lineWidth=this.getSinglePixelWidth())}else lineWidth/=scale2;if(fontSizeScale!==1&&(ctx.scale(fontSizeScale,fontSizeScale),lineWidth/=fontSizeScale),ctx.lineWidth=lineWidth,font.isInvalidPDFjsFont){const chars=[];let width=0;for(const glyph of glyphs)chars.
+push(glyph.unicode),width+=glyph.width;ctx.fillText(chars.join(""),0,0),current2.x+=width*widthAdvanceScale*textHScale,ctx.restore(),this.compose();return}let x=0,i;for(i=0;i<glyphsLength;++i){const glyph=glyphs[i];if(typeof glyph=="number"){x+=spacingDir*glyph*fontSize/1e3;continue}let restoreNeeded=!1;const spacing2=(glyph.isSpace?wordSpacing:0)+charSpacing,character=glyph.fontChar,accent2=glyph.accent;let scaledX,scaledY,width=glyph.width;if(vertical){const vmetric=glyph.vmetric||defaultVMetrics,
+vx=-(glyph.vmetric?vmetric[1]:width*.5)*widthAdvanceScale,vy=vmetric[2]*widthAdvanceScale;width=vmetric?-vmetric[0]:width,scaledX=vx/fontSizeScale,scaledY=(x+vy)/fontSizeScale}else scaledX=x/fontSizeScale,scaledY=0;if(font.remeasure&&width>0){const measuredWidth=ctx.measureText(character).width*1e3/fontSize*fontSizeScale;if(width<measuredWidth&&this.isFontSubpixelAAEnabled){const characterScaleX=width/measuredWidth;restoreNeeded=!0,ctx.save(),ctx.scale(characterScaleX,1),scaledX/=characterScaleX}else
+width!==measuredWidth&&(scaledX+=(width-measuredWidth)/2e3*fontSize/fontSizeScale)}if(this.contentVisible&&(glyph.isInFont||font.missingFile)){if(simpleFillText&&!accent2)ctx.fillText(character,scaledX,scaledY);else if(this.paintChar(character,scaledX,scaledY,patternFillTransform,patternStrokeTransform),accent2){const scaledAccentX=scaledX+fontSize*accent2.offset.x/fontSizeScale,scaledAccentY=scaledY-fontSize*accent2.offset.y/fontSizeScale;this.paintChar(accent2.fontChar,scaledAccentX,scaledAccentY,
+patternFillTransform,patternStrokeTransform)}}const charWidth=vertical?width*widthAdvanceScale-spacing2*fontDirection:width*widthAdvanceScale+spacing2*fontDirection;x+=charWidth,restoreNeeded&&ctx.restore()}vertical?current2.y-=x:current2.x+=x*textHScale,ctx.restore(),this.compose()}showType3Text(glyphs){const ctx=this.ctx,current2=this.current,font=current2.font,fontSize=current2.fontSize,fontDirection=current2.fontDirection,spacingDir=font.vertical?1:-1,charSpacing=current2.charSpacing,wordSpacing=current2.
+wordSpacing,textHScale=current2.textHScale*fontDirection,fontMatrix=current2.fontMatrix||FONT_IDENTITY_MATRIX,glyphsLength=glyphs.length,isTextInvisible=current2.textRenderingMode===TextRenderingMode.INVISIBLE;let i,glyph,width,spacingLength;if(!(isTextInvisible||fontSize===0)){for(this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null,ctx.save(),current2.textMatrix&&ctx.transform(...current2.textMatrix),ctx.translate(current2.x,current2.y+current2.textRise),ctx.scale(textHScale,
+fontDirection),i=0;i<glyphsLength;++i){if(glyph=glyphs[i],typeof glyph=="number"){spacingLength=spacingDir*glyph*fontSize/1e3,this.ctx.translate(spacingLength,0),current2.x+=spacingLength*textHScale;continue}const spacing2=(glyph.isSpace?wordSpacing:0)+charSpacing,operatorList=font.charProcOperatorList[glyph.operatorListId];operatorList?this.contentVisible&&(this.save(),ctx.scale(fontSize,fontSize),ctx.transform(...fontMatrix),this.executeOperatorList(operatorList),this.restore()):warn(`Type3 ch\
+aracter "${glyph.operatorListId}" is not available.`);const p2=[glyph.width,0];Util.applyTransform(p2,fontMatrix),width=p2[0]*fontSize+spacing2,ctx.translate(width,0),current2.x+=width*textHScale}ctx.restore()}}setCharWidth(xWidth,yWidth){}setCharWidthAndBounds(xWidth,yWidth,llx,lly,urx,ury){const clip=new Path2D;clip.rect(llx,lly,urx-llx,ury-lly),this.ctx.clip(clip),this.endPath()}getColorN_Pattern(IR){let pattern2;if(IR[0]==="TilingPattern"){const baseTransform=this.baseTransform||getCurrentTransform(
+this.ctx),canvasGraphicsFactory={createCanvasGraphics:ctx=>new CanvasGraphics(ctx,this.commonObjs,this.objs,this.canvasFactory,this.filterFactory,{optionalContentConfig:this.optionalContentConfig,markedContentStack:this.markedContentStack})};pattern2=new TilingPattern(IR,this.ctx,canvasGraphicsFactory,baseTransform)}else pattern2=this._getPattern(IR[1],IR[2]);return pattern2}setStrokeColorN(){this.current.strokeColor=this.getColorN_Pattern(arguments),this.current.patternStroke=!0}setFillColorN(){
+this.current.fillColor=this.getColorN_Pattern(arguments),this.current.patternFill=!0}setStrokeRGBColor(color){this.ctx.strokeStyle=this.current.strokeColor=color,this.current.patternStroke=!1}setStrokeTransparent(){this.ctx.strokeStyle=this.current.strokeColor="transparent",this.current.patternStroke=!1}setFillRGBColor(color){this.ctx.fillStyle=this.current.fillColor=color,this.current.patternFill=!1}setFillTransparent(){this.ctx.fillStyle=this.current.fillColor="transparent",this.current.patternFill=
+!1}_getPattern(objId,matrix=null){let pattern2;return this.cachedPatterns.has(objId)?pattern2=this.cachedPatterns.get(objId):(pattern2=getShadingPattern(this.getObject(objId)),this.cachedPatterns.set(objId,pattern2)),matrix&&(pattern2.matrix=matrix),pattern2}shadingFill(objId){if(!this.contentVisible)return;const ctx=this.ctx;this.save();const pattern2=this._getPattern(objId);ctx.fillStyle=pattern2.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.SHADING);const inv=getCurrentTransformInverse(
+ctx);if(inv){const{width,height}=ctx.canvas,minMax=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox([0,0,width,height],inv,minMax);const[x0,y0,x1,y1]=minMax;this.ctx.fillRect(x0,y0,x1-x0,y1-y0)}else this.ctx.fillRect(-1e10,-1e10,2e10,2e10);this.compose(this.current.getClippedPathBoundingBox()),this.restore()}beginInlineImage(){unreachable("Should not call beginInlineImage")}beginImageData(){unreachable("Should not call beginImageData")}paintFormXObjectBegin(matrix,bbox){if(this.contentVisible&&
+(this.save(),this.baseTransformStack.push(this.baseTransform),matrix&&this.transform(...matrix),this.baseTransform=getCurrentTransform(this.ctx),bbox)){Util.axialAlignedBoundingBox(bbox,this.baseTransform,this.current.minMax);const[x0,y0,x1,y1]=bbox,clip=new Path2D;clip.rect(x0,y0,x1-x0,y1-y0),this.ctx.clip(clip),this.endPath()}}paintFormXObjectEnd(){this.contentVisible&&(this.restore(),this.baseTransform=this.baseTransformStack.pop())}beginGroup(group){if(!this.contentVisible)return;this.save(),
+this.inSMaskMode&&(this.endSMaskMode(),this.current.activeSMask=null);const currentCtx=this.ctx;group.isolated||info("TODO: Support non-isolated groups."),group.knockout&&warn("Knockout groups not supported.");const currentTransform=getCurrentTransform(currentCtx);if(group.matrix&&currentCtx.transform(...group.matrix),!group.bbox)throw new Error("Bounding box is required.");let bounds=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox(group.bbox,getCurrentTransform(currentCtx),bounds);const canvasBounds=[
+0,0,currentCtx.canvas.width,currentCtx.canvas.height];bounds=Util.intersect(bounds,canvasBounds)||[0,0,0,0];const offsetX=Math.floor(bounds[0]),offsetY=Math.floor(bounds[1]),drawnWidth=Math.max(Math.ceil(bounds[2])-offsetX,1),drawnHeight=Math.max(Math.ceil(bounds[3])-offsetY,1);this.current.startNewPathAndClipBox([0,0,drawnWidth,drawnHeight]);let cacheId="groupAt"+this.groupLevel;group.smask&&(cacheId+="_smask_"+this.smaskCounter++%2);const scratchCanvas=this.cachedCanvases.getCanvas(cacheId,drawnWidth,
+drawnHeight),groupCtx=scratchCanvas.context;groupCtx.translate(-offsetX,-offsetY),groupCtx.transform(...currentTransform);let clip=new Path2D;const[x0,y0,x1,y1]=group.bbox;if(clip.rect(x0,y0,x1-x0,y1-y0),group.matrix){const path2=new Path2D;path2.addPath(clip,new DOMMatrix(group.matrix)),clip=path2}groupCtx.clip(clip),group.smask?this.smaskStack.push({canvas:scratchCanvas.canvas,context:groupCtx,offsetX,offsetY,subtype:group.smask.subtype,backdrop:group.smask.backdrop,transferMap:group.smask.transferMap||
+null,startTransformInverse:null}):(currentCtx.setTransform(1,0,0,1,0,0),currentCtx.translate(offsetX,offsetY),currentCtx.save()),copyCtxState(currentCtx,groupCtx),this.ctx=groupCtx,this.setGState([["BM","source-over"],["ca",1],["CA",1]]),this.groupStack.push(currentCtx),this.groupLevel++}endGroup(group){if(!this.contentVisible)return;this.groupLevel--;const groupCtx=this.ctx,ctx=this.groupStack.pop();if(this.ctx=ctx,this.ctx.imageSmoothingEnabled=!1,group.smask)this.tempSMask=this.smaskStack.pop(),
+this.restore();else{this.ctx.restore();const currentMtx=getCurrentTransform(this.ctx);this.restore(),this.ctx.save(),this.ctx.setTransform(...currentMtx);const dirtyBox=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox([0,0,groupCtx.canvas.width,groupCtx.canvas.height],currentMtx,dirtyBox),this.ctx.drawImage(groupCtx.canvas,0,0),this.ctx.restore(),this.compose(dirtyBox)}}beginAnnotation(id2,rect,transform2,matrix,hasOwnCanvas){if(this.#restoreInitialState(),resetCtxToDefault(this.ctx),this.ctx.save(),
+this.save(),this.baseTransform&&this.ctx.setTransform(...this.baseTransform),rect){const width=rect[2]-rect[0],height=rect[3]-rect[1];if(hasOwnCanvas&&this.annotationCanvasMap){transform2=transform2.slice(),transform2[4]-=rect[0],transform2[5]-=rect[1],rect=rect.slice(),rect[0]=rect[1]=0,rect[2]=width,rect[3]=height,Util.singularValueDecompose2dScale(getCurrentTransform(this.ctx),XY);const{viewportScale}=this,canvasWidth=Math.ceil(width*this.outputScaleX*viewportScale),canvasHeight=Math.ceil(height*
+this.outputScaleY*viewportScale);this.annotationCanvas=this.canvasFactory.create(canvasWidth,canvasHeight);const{canvas,context}=this.annotationCanvas;this.annotationCanvasMap.set(id2,canvas),this.annotationCanvas.savedCtx=this.ctx,this.ctx=context,this.ctx.save(),this.ctx.setTransform(XY[0],0,0,-XY[1],0,height*XY[1]),resetCtxToDefault(this.ctx)}else{resetCtxToDefault(this.ctx),this.endPath();const clip=new Path2D;clip.rect(rect[0],rect[1],width,height),this.ctx.clip(clip)}}this.current=new CanvasExtraState(
+this.ctx.canvas.width,this.ctx.canvas.height),this.transform(...transform2),this.transform(...matrix)}endAnnotation(){this.annotationCanvas&&(this.ctx.restore(),this.#drawFilter(),this.ctx=this.annotationCanvas.savedCtx,delete this.annotationCanvas.savedCtx,delete this.annotationCanvas)}paintImageMaskXObject(img){if(!this.contentVisible)return;const count=img.count;img=this.getObject(img.data,img),img.count=count;const ctx=this.ctx,mask=this._createMaskCanvas(img),maskCanvas=mask.canvas;ctx.save(),
+ctx.setTransform(1,0,0,1,0,0),ctx.drawImage(maskCanvas,mask.offsetX,mask.offsetY),ctx.restore(),this.compose()}paintImageMaskXObjectRepeat(img,scaleX,skewX=0,skewY=0,scaleY,positions){if(!this.contentVisible)return;img=this.getObject(img.data,img);const ctx=this.ctx;ctx.save();const currentTransform=getCurrentTransform(ctx);ctx.transform(scaleX,skewX,skewY,scaleY,0,0);const mask=this._createMaskCanvas(img);ctx.setTransform(1,0,0,1,mask.offsetX-currentTransform[4],mask.offsetY-currentTransform[5]);
+for(let i=0,ii=positions.length;i<ii;i+=2){const trans=Util.transform(currentTransform,[scaleX,skewX,skewY,scaleY,positions[i],positions[i+1]]);ctx.drawImage(mask.canvas,trans[4],trans[5])}ctx.restore(),this.compose()}paintImageMaskXObjectGroup(images){if(!this.contentVisible)return;const ctx=this.ctx,fillColor=this.current.fillColor,isPatternFill=this.current.patternFill;for(const image2 of images){const{data,width,height,transform:transform2}=image2,maskCanvas=this.cachedCanvases.getCanvas("ma\
+skCanvas",width,height),maskCtx=maskCanvas.context;maskCtx.save();const img=this.getObject(data,image2);putBinaryImageMask(maskCtx,img),maskCtx.globalCompositeOperation="source-in",maskCtx.fillStyle=isPatternFill?fillColor.getPattern(maskCtx,this,getCurrentTransformInverse(ctx),PathType.FILL):fillColor,maskCtx.fillRect(0,0,width,height),maskCtx.restore(),ctx.save(),ctx.transform(...transform2),ctx.scale(1,-1),drawImageAtIntegerCoords(ctx,maskCanvas.canvas,0,0,width,height,0,-1,1,1),ctx.restore()}
+this.compose()}paintImageXObject(objId){if(!this.contentVisible)return;const imgData=this.getObject(objId);if(!imgData){warn("Dependent image isn't ready yet");return}this.paintInlineImageXObject(imgData)}paintImageXObjectRepeat(objId,scaleX,scaleY,positions){if(!this.contentVisible)return;const imgData=this.getObject(objId);if(!imgData){warn("Dependent image isn't ready yet");return}const width=imgData.width,height=imgData.height,map2=[];for(let i=0,ii=positions.length;i<ii;i+=2)map2.push({transform:[
+scaleX,0,0,scaleY,positions[i],positions[i+1]],x:0,y:0,w:width,h:height});this.paintInlineImageXObjectGroup(imgData,map2)}applyTransferMapsToCanvas(ctx){return this.current.transferMaps!=="none"&&(ctx.filter=this.current.transferMaps,ctx.drawImage(ctx.canvas,0,0),ctx.filter="none"),ctx.canvas}applyTransferMapsToBitmap(imgData){if(this.current.transferMaps==="none")return imgData.bitmap;const{bitmap,width,height}=imgData,tmpCanvas=this.cachedCanvases.getCanvas("inlineImage",width,height),tmpCtx=tmpCanvas.
+context;return tmpCtx.filter=this.current.transferMaps,tmpCtx.drawImage(bitmap,0,0),tmpCtx.filter="none",tmpCanvas.canvas}paintInlineImageXObject(imgData){if(!this.contentVisible)return;const width=imgData.width,height=imgData.height,ctx=this.ctx;this.save();const{filter}=ctx;filter!=="none"&&filter!==""&&(ctx.filter="none"),ctx.scale(1/width,-1/height);let imgToPaint;if(imgData.bitmap)imgToPaint=this.applyTransferMapsToBitmap(imgData);else if(typeof HTMLElement=="function"&&imgData instanceof HTMLElement||
+!imgData.data)imgToPaint=imgData;else{const tmpCtx=this.cachedCanvases.getCanvas("inlineImage",width,height).context;putBinaryImageData(tmpCtx,imgData),imgToPaint=this.applyTransferMapsToCanvas(tmpCtx)}const scaled=this._scaleImage(imgToPaint,getCurrentTransformInverse(ctx));ctx.imageSmoothingEnabled=getImageSmoothingEnabled(getCurrentTransform(ctx),imgData.interpolate),drawImageAtIntegerCoords(ctx,scaled.img,0,0,scaled.paintWidth,scaled.paintHeight,0,-height,width,height),this.compose(),this.restore()}paintInlineImageXObjectGroup(imgData,map2){
+if(!this.contentVisible)return;const ctx=this.ctx;let imgToPaint;if(imgData.bitmap)imgToPaint=imgData.bitmap;else{const w=imgData.width,h2=imgData.height,tmpCtx=this.cachedCanvases.getCanvas("inlineImage",w,h2).context;putBinaryImageData(tmpCtx,imgData),imgToPaint=this.applyTransferMapsToCanvas(tmpCtx)}for(const entry of map2)ctx.save(),ctx.transform(...entry.transform),ctx.scale(1,-1),drawImageAtIntegerCoords(ctx,imgToPaint,entry.x,entry.y,entry.w,entry.h,0,-1,1,1),ctx.restore();this.compose()}paintSolidColorImageMask(){
+this.contentVisible&&(this.ctx.fillRect(0,0,1,1),this.compose())}markPoint(tag){}markPointProps(tag,properties2){}beginMarkedContent(tag){this.markedContentStack.push({visible:!0})}beginMarkedContentProps(tag,properties2){tag==="OC"?this.markedContentStack.push({visible:this.optionalContentConfig.isVisible(properties2)}):this.markedContentStack.push({visible:!0}),this.contentVisible=this.isContentVisible()}endMarkedContent(){this.markedContentStack.pop(),this.contentVisible=this.isContentVisible()}beginCompat(){}endCompat(){}consumePath(path2,clipBox){
+const isEmpty=this.current.isEmptyClip();this.pendingClip&&this.current.updateClipFromPath(),this.pendingClip||this.compose(clipBox);const ctx=this.ctx;this.pendingClip&&(isEmpty||(this.pendingClip===EO_CLIP?ctx.clip(path2,"evenodd"):ctx.clip(path2)),this.pendingClip=null),this.current.startNewPathAndClipBox(this.current.clipBox)}getSinglePixelWidth(){if(!this._cachedGetSinglePixelWidth){const m=getCurrentTransform(this.ctx);if(m[1]===0&&m[2]===0)this._cachedGetSinglePixelWidth=1/Math.min(Math.abs(
+m[0]),Math.abs(m[3]));else{const absDet=Math.abs(m[0]*m[3]-m[2]*m[1]),normX=Math.hypot(m[0],m[2]),normY=Math.hypot(m[1],m[3]);this._cachedGetSinglePixelWidth=Math.max(normX,normY)/absDet}}return this._cachedGetSinglePixelWidth}getScaleForStroking(){if(this._cachedScaleForStroking[0]===-1){const{lineWidth}=this.current,{a,b,c:c2,d:d2}=this.ctx.getTransform();let scaleX,scaleY;if(b===0&&c2===0){const normX=Math.abs(a),normY=Math.abs(d2);if(normX===normY)if(lineWidth===0)scaleX=scaleY=1/normX;else{
+const scaledLineWidth=normX*lineWidth;scaleX=scaleY=scaledLineWidth<1?1/scaledLineWidth:1}else if(lineWidth===0)scaleX=1/normX,scaleY=1/normY;else{const scaledXLineWidth=normX*lineWidth,scaledYLineWidth=normY*lineWidth;scaleX=scaledXLineWidth<1?1/scaledXLineWidth:1,scaleY=scaledYLineWidth<1?1/scaledYLineWidth:1}}else{const absDet=Math.abs(a*d2-b*c2),normX=Math.hypot(a,b),normY=Math.hypot(c2,d2);if(lineWidth===0)scaleX=normY/absDet,scaleY=normX/absDet;else{const baseArea=lineWidth*absDet;scaleX=normY>
+baseArea?normY/baseArea:1,scaleY=normX>baseArea?normX/baseArea:1}}this._cachedScaleForStroking[0]=scaleX,this._cachedScaleForStroking[1]=scaleY}return this._cachedScaleForStroking}rescaleAndStroke(path2,saveRestore){const{ctx,current:{lineWidth}}=this,[scaleX,scaleY]=this.getScaleForStroking();if(scaleX===scaleY){ctx.lineWidth=(lineWidth||1)*scaleX,ctx.stroke(path2);return}const dashes=ctx.getLineDash();saveRestore&&ctx.save(),ctx.scale(scaleX,scaleY),SCALE_MATRIX.a=1/scaleX,SCALE_MATRIX.d=1/scaleY;
+const newPath=new Path2D;if(newPath.addPath(path2,SCALE_MATRIX),dashes.length>0){const scale2=Math.max(scaleX,scaleY);ctx.setLineDash(dashes.map(x=>x/scale2)),ctx.lineDashOffset/=scale2}ctx.lineWidth=lineWidth||1,ctx.stroke(newPath),saveRestore&&ctx.restore()}isContentVisible(){for(let i=this.markedContentStack.length-1;i>=0;i--)if(!this.markedContentStack[i].visible)return!1;return!0}}for(const op2 in OPS)CanvasGraphics.prototype[op2]!==void 0&&(CanvasGraphics.prototype[OPS[op2]]=CanvasGraphics.
+prototype[op2]);class GlobalWorkerOptions{static#port=null;static#src="";static get workerPort(){return this.#port}static set workerPort(val){if(!(typeof Worker<"u"&&val instanceof Worker)&&val!==null)throw new Error("Invalid `workerPort` type.");this.#port=val}static get workerSrc(){return this.#src}static set workerSrc(val){if(typeof val!="string")throw new Error("Invalid `workerSrc` type.");this.#src=val}}class Metadata{#map;#data;constructor({parsedData,rawData}){this.#map=parsedData,this.#data=
+rawData}getRaw(){return this.#data}get(name){return this.#map.get(name)??null}[Symbol.iterator](){return this.#map.entries()}}const INTERNAL=Symbol("INTERNAL");class OptionalContentGroup{#isDisplay=!1;#isPrint=!1;#userSet=!1;#visible=!0;constructor(renderingIntent,{name,intent,usage,rbGroups}){this.#isDisplay=!!(renderingIntent&RenderingIntentFlag.DISPLAY),this.#isPrint=!!(renderingIntent&RenderingIntentFlag.PRINT),this.name=name,this.intent=intent,this.usage=usage,this.rbGroups=rbGroups}get visible(){
+if(this.#userSet)return this.#visible;if(!this.#visible)return!1;const{print,view}=this.usage;return this.#isDisplay?view?.viewState!=="OFF":this.#isPrint?print?.printState!=="OFF":!0}_setVisible(internal,visible,userSet=!1){internal!==INTERNAL&&unreachable("Internal method `_setVisible` called."),this.#userSet=userSet,this.#visible=visible}}class OptionalContentConfig{#cachedGetHash=null;#groups=new Map;#initialHash=null;#order=null;constructor(data,renderingIntent=RenderingIntentFlag.DISPLAY){
+if(this.renderingIntent=renderingIntent,this.name=null,this.creator=null,data!==null){this.name=data.name,this.creator=data.creator,this.#order=data.order;for(const group of data.groups)this.#groups.set(group.id,new OptionalContentGroup(renderingIntent,group));if(data.baseState==="OFF")for(const group of this.#groups.values())group._setVisible(INTERNAL,!1);for(const on2 of data.on)this.#groups.get(on2)._setVisible(INTERNAL,!0);for(const off of data.off)this.#groups.get(off)._setVisible(INTERNAL,
+!1);this.#initialHash=this.getHash()}}#evaluateVisibilityExpression(array2){const length=array2.length;if(length<2)return!0;const operator2=array2[0];for(let i=1;i<length;i++){const element2=array2[i];let state2;if(Array.isArray(element2))state2=this.#evaluateVisibilityExpression(element2);else if(this.#groups.has(element2))state2=this.#groups.get(element2).visible;else return warn(`Optional content group not found: ${element2}`),!0;switch(operator2){case"And":if(!state2)return!1;break;case"Or":
+if(state2)return!0;break;case"Not":return!state2;default:return!0}}return operator2==="And"}isVisible(group){if(this.#groups.size===0)return!0;if(!group)return info("Optional content group not defined."),!0;if(group.type==="OCG")return this.#groups.has(group.id)?this.#groups.get(group.id).visible:(warn(`Optional content group not found: ${group.id}`),!0);if(group.type==="OCMD"){if(group.expression)return this.#evaluateVisibilityExpression(group.expression);if(!group.policy||group.policy==="AnyOn"){
+for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),!0;if(this.#groups.get(id2).visible)return!0}return!1}else if(group.policy==="AllOn"){for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),!0;if(!this.#groups.get(id2).visible)return!1}return!0}else if(group.policy==="AnyOff"){for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),
+!0;if(!this.#groups.get(id2).visible)return!0}return!1}else if(group.policy==="AllOff"){for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),!0;if(this.#groups.get(id2).visible)return!1}return!0}return warn(`Unknown optional content policy ${group.policy}.`),!0}return warn(`Unknown group type ${group.type}.`),!0}setVisibility(id2,visible=!0,preserveRB=!0){const group=this.#groups.get(id2);if(!group){warn(`Optional content group not found: ${id2}`);
+return}if(preserveRB&&visible&&group.rbGroups.length)for(const rbGroup of group.rbGroups)for(const otherId of rbGroup)otherId!==id2&&this.#groups.get(otherId)?._setVisible(INTERNAL,!1,!0);group._setVisible(INTERNAL,!!visible,!0),this.#cachedGetHash=null}setOCGState({state:state2,preserveRB}){let operator2;for(const elem of state2){switch(elem){case"ON":case"OFF":case"Toggle":operator2=elem;continue}const group=this.#groups.get(elem);if(group)switch(operator2){case"ON":this.setVisibility(elem,!0,
+preserveRB);break;case"OFF":this.setVisibility(elem,!1,preserveRB);break;case"Toggle":this.setVisibility(elem,!group.visible,preserveRB);break}}this.#cachedGetHash=null}get hasInitialVisibility(){return this.#initialHash===null||this.getHash()===this.#initialHash}getOrder(){return this.#groups.size?this.#order?this.#order.slice():[...this.#groups.keys()]:null}getGroup(id2){return this.#groups.get(id2)||null}getHash(){if(this.#cachedGetHash!==null)return this.#cachedGetHash;const hash2=new MurmurHash3_64;
+for(const[id2,group]of this.#groups)hash2.update(`${id2}:${group.visible}`);return this.#cachedGetHash=hash2.hexdigest()}[Symbol.iterator](){return this.#groups.entries()}}class PDFDataTransportStream{constructor(pdfDataRangeTransport,{disableRange=!1,disableStream=!1}){assert$1(pdfDataRangeTransport,'PDFDataTransportStream - missing required "pdfDataRangeTransport" argument.');const{length,initialData,progressiveDone,contentDispositionFilename}=pdfDataRangeTransport;if(this._queuedChunks=[],this.
+_progressiveDone=progressiveDone,this._contentDispositionFilename=contentDispositionFilename,initialData?.length>0){const buffer=initialData instanceof Uint8Array&&initialData.byteLength===initialData.buffer.byteLength?initialData.buffer:new Uint8Array(initialData).buffer;this._queuedChunks.push(buffer)}this._pdfDataRangeTransport=pdfDataRangeTransport,this._isStreamingSupported=!disableStream,this._isRangeSupported=!disableRange,this._contentLength=length,this._fullRequestReader=null,this._rangeReaders=
+[],pdfDataRangeTransport.addRangeListener((begin,chunk)=>{this._onReceiveData({begin,chunk})}),pdfDataRangeTransport.addProgressListener((loaded,total)=>{this._onProgress({loaded,total})}),pdfDataRangeTransport.addProgressiveReadListener(chunk=>{this._onReceiveData({chunk})}),pdfDataRangeTransport.addProgressiveDoneListener(()=>{this._onProgressiveDone()}),pdfDataRangeTransport.transportReady()}_onReceiveData({begin,chunk}){const buffer=chunk instanceof Uint8Array&&chunk.byteLength===chunk.buffer.
+byteLength?chunk.buffer:new Uint8Array(chunk).buffer;if(begin===void 0)this._fullRequestReader?this._fullRequestReader._enqueue(buffer):this._queuedChunks.push(buffer);else{const found=this._rangeReaders.some(function(rangeReader){return rangeReader._begin!==begin?!1:(rangeReader._enqueue(buffer),!0)});assert$1(found,"_onReceiveData - no `PDFDataTransportStreamRangeReader` instance found.")}}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}_onProgress(evt){evt.total===void 0?
+this._rangeReaders[0]?.onProgress?.({loaded:evt.loaded}):this._fullRequestReader?.onProgress?.({loaded:evt.loaded,total:evt.total})}_onProgressiveDone(){this._fullRequestReader?.progressiveDone(),this._progressiveDone=!0}_removeRangeReader(reader){const i=this._rangeReaders.indexOf(reader);i>=0&&this._rangeReaders.splice(i,1)}getFullReader(){assert$1(!this._fullRequestReader,"PDFDataTransportStream.getFullReader can only be called once.");const queuedChunks=this._queuedChunks;return this._queuedChunks=
+null,new PDFDataTransportStreamReader(this,queuedChunks,this._progressiveDone,this._contentDispositionFilename)}getRangeReader(begin,end){if(end<=this._progressiveDataLength)return null;const reader=new PDFDataTransportStreamRangeReader(this,begin,end);return this._pdfDataRangeTransport.requestDataRange(begin,end),this._rangeReaders.push(reader),reader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeReaders.slice(0))reader.cancel(reason);this._pdfDataRangeTransport.
+abort()}}class PDFDataTransportStreamReader{constructor(stream,queuedChunks,progressiveDone=!1,contentDispositionFilename=null){this._stream=stream,this._done=progressiveDone||!1,this._filename=isPdfFile(contentDispositionFilename)?contentDispositionFilename:null,this._queuedChunks=queuedChunks||[],this._loaded=0;for(const chunk of this._queuedChunks)this._loaded+=chunk.byteLength;this._requests=[],this._headersReady=Promise.resolve(),stream._fullRequestReader=this,this.onProgress=null}_enqueue(chunk){
+this._done||(this._requests.length>0?this._requests.shift().resolve({value:chunk,done:!1}):this._queuedChunks.push(chunk),this._loaded+=chunk.byteLength)}get headersReady(){return this._headersReady}get filename(){return this._filename}get isRangeSupported(){return this._stream._isRangeSupported}get isStreamingSupported(){return this._stream._isStreamingSupported}get contentLength(){return this._stream._contentLength}async read(){if(this._queuedChunks.length>0)return{value:this._queuedChunks.shift(),
+done:!1};if(this._done)return{value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0}progressiveDone(){this._done||(this._done=!0)}}class PDFDataTransportStreamRangeReader{constructor(stream,begin,end){this._stream=stream,this._begin=begin,this._end=end,this._queuedChunk=
+null,this._requests=[],this._done=!1,this.onProgress=null}_enqueue(chunk){if(!this._done){if(this._requests.length===0)this._queuedChunk=chunk;else{this._requests.shift().resolve({value:chunk,done:!1});for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0}this._done=!0,this._stream._removeRangeReader(this)}}get isStreamingSupported(){return!1}async read(){if(this._queuedChunk){const chunk=this._queuedChunk;return this._queuedChunk=
+null,{value:chunk,done:!1}}if(this._done)return{value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._stream._removeRangeReader(this)}}function getFilenameFromContentDispositionHeader(contentDisposition){let needsEncodingFixup=!0,tmp=toParamRegExp("filename\
+\\*","i").exec(contentDisposition);if(tmp){tmp=tmp[1];let filename=rfc2616unquote(tmp);return filename=unescape(filename),filename=rfc5987decode(filename),filename=rfc2047decode(filename),fixupEncoding(filename)}if(tmp=rfc2231getparam(contentDisposition),tmp){const filename=rfc2047decode(tmp);return fixupEncoding(filename)}if(tmp=toParamRegExp("filename","i").exec(contentDisposition),tmp){tmp=tmp[1];let filename=rfc2616unquote(tmp);return filename=rfc2047decode(filename),fixupEncoding(filename)}
+function toParamRegExp(attributePattern,flags2){return new RegExp("(?:^|;)\\s*"+attributePattern+'\\s*=\\s*([^";\\s][^;\\s]*|"(?:[^"\\\\]|\\\\"?)+"?)',flags2)}function textdecode(encoding,value){if(encoding){if(!/^[\x00-\xFF]+$/.test(value))return value;try{const decoder=new TextDecoder(encoding,{fatal:!0}),buffer=stringToBytes(value);value=decoder.decode(buffer),needsEncodingFixup=!1}catch{}}return value}function fixupEncoding(value){return needsEncodingFixup&&/[\x80-\xff]/.test(value)&&(value=
+textdecode("utf-8",value),needsEncodingFixup&&(value=textdecode("iso-8859-1",value))),value}function rfc2231getparam(contentDispositionStr){const matches2=[];let match;const iter=toParamRegExp("filename\\*((?!0\\d)\\d+)(\\*?)","ig");for(;(match=iter.exec(contentDispositionStr))!==null;){let[,n,quot,part]=match;if(n=parseInt(n,10),n in matches2){if(n===0)break;continue}matches2[n]=[quot,part]}const parts=[];for(let n=0;n<matches2.length&&n in matches2;++n){let[quot,part]=matches2[n];part=rfc2616unquote(
+part),quot&&(part=unescape(part),n===0&&(part=rfc5987decode(part))),parts.push(part)}return parts.join("")}function rfc2616unquote(value){if(value.startsWith('"')){const parts=value.slice(1).split('\\"');for(let i=0;i<parts.length;++i){const quotindex=parts[i].indexOf('"');quotindex!==-1&&(parts[i]=parts[i].slice(0,quotindex),parts.length=i+1),parts[i]=parts[i].replaceAll(/\\(.)/g,"$1")}value=parts.join('"')}return value}function rfc5987decode(extvalue){const encodingend=extvalue.indexOf("'");if(encodingend===
+-1)return extvalue;const encoding=extvalue.slice(0,encodingend),value=extvalue.slice(encodingend+1).replace(/^[^']*'/,"");return textdecode(encoding,value)}function rfc2047decode(value){return!value.startsWith("=?")||/[\x00-\x19\x80-\xff]/.test(value)?value:value.replaceAll(/=\?([\w-]*)\?([QqBb])\?((?:[^?]|\?(?!=))*)\?=/g,function(matches2,charset,encoding,text2){if(encoding==="q"||encoding==="Q")return text2=text2.replaceAll("_"," "),text2=text2.replaceAll(/=([0-9a-fA-F]{2})/g,function(match,hex){
+return String.fromCharCode(parseInt(hex,16))}),textdecode(charset,text2);try{text2=atob(text2)}catch{}return textdecode(charset,text2)})}return""}function createHeaders(isHttp,httpHeaders){const headers=new Headers;if(!isHttp||!httpHeaders||typeof httpHeaders!="object")return headers;for(const key2 in httpHeaders){const val=httpHeaders[key2];val!==void 0&&headers.append(key2,val)}return headers}function getResponseOrigin(url2){return URL.parse(url2)?.origin??null}function validateRangeRequestCapabilities({
+responseHeaders,isHttp,rangeChunkSize,disableRange}){const returnValues={allowRangeRequests:!1,suggestedLength:void 0},length=parseInt(responseHeaders.get("Content-Length"),10);return!Number.isInteger(length)||(returnValues.suggestedLength=length,length<=2*rangeChunkSize)||disableRange||!isHttp||responseHeaders.get("Accept-Ranges")!=="bytes"||(responseHeaders.get("Content-Encoding")||"identity")!=="identity"||(returnValues.allowRangeRequests=!0),returnValues}function extractFilenameFromHeader(responseHeaders){
+const contentDisposition=responseHeaders.get("Content-Disposition");if(contentDisposition){let filename=getFilenameFromContentDispositionHeader(contentDisposition);if(filename.includes("%"))try{filename=decodeURIComponent(filename)}catch{}if(isPdfFile(filename))return filename}return null}function createResponseError(status,url2){return new ResponseException(`Unexpected server response (${status}) while retrieving PDF "${url2}".`,status,status===404||status===0&&url2.startsWith("file:"))}function validateResponseStatus(status){
+return status===200||status===206}function createFetchOptions(headers,withCredentials,abortController){return{method:"GET",headers,signal:abortController.signal,mode:"cors",credentials:withCredentials?"include":"same-origin",redirect:"follow"}}function getArrayBuffer(val){return val instanceof Uint8Array?val.buffer:val instanceof ArrayBuffer?val:(warn(`getArrayBuffer - unexpected data format: ${val}`),new Uint8Array(val).buffer)}class PDFFetchStream{_responseOrigin=null;constructor(source2){this.
+source=source2,this.isHttp=/^https?:/i.test(source2.url),this.headers=createHeaders(this.isHttp,source2.httpHeaders),this._fullRequestReader=null,this._rangeRequestReaders=[]}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}getFullReader(){return assert$1(!this._fullRequestReader,"PDFFetchStream.getFullReader can only be called once."),this._fullRequestReader=new PDFFetchStreamReader(this),this._fullRequestReader}getRangeReader(begin,end){if(end<=this._progressiveDataLength)
+return null;const reader=new PDFFetchStreamRangeReader(this,begin,end);return this._rangeRequestReaders.push(reader),reader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeRequestReaders.slice(0))reader.cancel(reason)}}class PDFFetchStreamReader{constructor(stream){this._stream=stream,this._reader=null,this._loaded=0,this._filename=null;const source2=stream.source;this._withCredentials=source2.withCredentials||!1,this._contentLength=source2.length,
+this._headersCapability=Promise.withResolvers(),this._disableRange=source2.disableRange||!1,this._rangeChunkSize=source2.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._abortController=new AbortController,this._isStreamingSupported=!source2.disableStream,this._isRangeSupported=!source2.disableRange;const headers=new Headers(stream.headers),url2=source2.url;fetch(url2,createFetchOptions(headers,this._withCredentials,this._abortController)).then(response=>{
+if(stream._responseOrigin=getResponseOrigin(response.url),!validateResponseStatus(response.status))throw createResponseError(response.status,url2);this._reader=response.body.getReader(),this._headersCapability.resolve();const responseHeaders=response.headers,{allowRangeRequests,suggestedLength}=validateRangeRequestCapabilities({responseHeaders,isHttp:stream.isHttp,rangeChunkSize:this._rangeChunkSize,disableRange:this._disableRange});this._isRangeSupported=allowRangeRequests,this._contentLength=suggestedLength||
+this._contentLength,this._filename=extractFilenameFromHeader(responseHeaders),!this._isStreamingSupported&&this._isRangeSupported&&this.cancel(new AbortException("Streaming is disabled."))}).catch(this._headersCapability.reject),this.onProgress=null}get headersReady(){return this._headersCapability.promise}get filename(){return this._filename}get contentLength(){return this._contentLength}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}async read(){
+await this._headersCapability.promise;const{value,done}=await this._reader.read();return done?{value,done}:(this._loaded+=value.byteLength,this.onProgress?.({loaded:this._loaded,total:this._contentLength}),{value:getArrayBuffer(value),done:!1})}cancel(reason){this._reader?.cancel(reason),this._abortController.abort()}}class PDFFetchStreamRangeReader{constructor(stream,begin,end){this._stream=stream,this._reader=null,this._loaded=0;const source2=stream.source;this._withCredentials=source2.withCredentials||
+!1,this._readCapability=Promise.withResolvers(),this._isStreamingSupported=!source2.disableStream,this._abortController=new AbortController;const headers=new Headers(stream.headers);headers.append("Range",`bytes=${begin}-${end-1}`);const url2=source2.url;fetch(url2,createFetchOptions(headers,this._withCredentials,this._abortController)).then(response=>{const responseOrigin=getResponseOrigin(response.url);if(responseOrigin!==stream._responseOrigin)throw new Error(`Expected range response-origin "${responseOrigin}\
+" to match "${stream._responseOrigin}".`);if(!validateResponseStatus(response.status))throw createResponseError(response.status,url2);this._readCapability.resolve(),this._reader=response.body.getReader()}).catch(this._readCapability.reject),this.onProgress=null}get isStreamingSupported(){return this._isStreamingSupported}async read(){await this._readCapability.promise;const{value,done}=await this._reader.read();return done?{value,done}:(this._loaded+=value.byteLength,this.onProgress?.({loaded:this.
+_loaded}),{value:getArrayBuffer(value),done:!1})}cancel(reason){this._reader?.cancel(reason),this._abortController.abort()}}const OK_RESPONSE=200,PARTIAL_CONTENT_RESPONSE=206;function network_getArrayBuffer(xhr){const data=xhr.response;return typeof data!="string"?data:stringToBytes(data).buffer}class NetworkManager{_responseOrigin=null;constructor({url:url2,httpHeaders,withCredentials}){this.url=url2,this.isHttp=/^https?:/i.test(url2),this.headers=createHeaders(this.isHttp,httpHeaders),this.withCredentials=
+withCredentials||!1,this.currXhrId=0,this.pendingRequests=Object.create(null)}request(args){const xhr=new XMLHttpRequest,xhrId=this.currXhrId++,pendingRequest=this.pendingRequests[xhrId]={xhr};xhr.open("GET",this.url),xhr.withCredentials=this.withCredentials;for(const[key2,val]of this.headers)xhr.setRequestHeader(key2,val);return this.isHttp&&"begin"in args&&"end"in args?(xhr.setRequestHeader("Range",`bytes=${args.begin}-${args.end-1}`),pendingRequest.expectedStatus=PARTIAL_CONTENT_RESPONSE):pendingRequest.
+expectedStatus=OK_RESPONSE,xhr.responseType="arraybuffer",assert$1(args.onError,"Expected `onError` callback to be provided."),xhr.onerror=()=>{args.onError(xhr.status)},xhr.onreadystatechange=this.onStateChange.bind(this,xhrId),xhr.onprogress=this.onProgress.bind(this,xhrId),pendingRequest.onHeadersReceived=args.onHeadersReceived,pendingRequest.onDone=args.onDone,pendingRequest.onError=args.onError,pendingRequest.onProgress=args.onProgress,xhr.send(null),xhrId}onProgress(xhrId,evt){const pendingRequest=this.
+pendingRequests[xhrId];pendingRequest&&pendingRequest.onProgress?.(evt)}onStateChange(xhrId,evt){const pendingRequest=this.pendingRequests[xhrId];if(!pendingRequest)return;const xhr=pendingRequest.xhr;if(xhr.readyState>=2&&pendingRequest.onHeadersReceived&&(pendingRequest.onHeadersReceived(),delete pendingRequest.onHeadersReceived),xhr.readyState!==4||!(xhrId in this.pendingRequests))return;if(delete this.pendingRequests[xhrId],xhr.status===0&&this.isHttp){pendingRequest.onError(xhr.status);return}
+const xhrStatus=xhr.status||OK_RESPONSE;if(!(xhrStatus===OK_RESPONSE&&pendingRequest.expectedStatus===PARTIAL_CONTENT_RESPONSE)&&xhrStatus!==pendingRequest.expectedStatus){pendingRequest.onError(xhr.status);return}const chunk=network_getArrayBuffer(xhr);if(xhrStatus===PARTIAL_CONTENT_RESPONSE){const rangeHeader=xhr.getResponseHeader("Content-Range"),matches2=/bytes (\d+)-(\d+)\/(\d+)/.exec(rangeHeader);matches2?pendingRequest.onDone({begin:parseInt(matches2[1],10),chunk}):(warn('Missing or inval\
+id "Content-Range" header.'),pendingRequest.onError(0))}else chunk?pendingRequest.onDone({begin:0,chunk}):pendingRequest.onError(xhr.status)}getRequestXhr(xhrId){return this.pendingRequests[xhrId].xhr}isPendingRequest(xhrId){return xhrId in this.pendingRequests}abortRequest(xhrId){const xhr=this.pendingRequests[xhrId].xhr;delete this.pendingRequests[xhrId],xhr.abort()}}class PDFNetworkStream{constructor(source2){this._source=source2,this._manager=new NetworkManager(source2),this._rangeChunkSize=
+source2.rangeChunkSize,this._fullRequestReader=null,this._rangeRequestReaders=[]}_onRangeRequestReaderClosed(reader){const i=this._rangeRequestReaders.indexOf(reader);i>=0&&this._rangeRequestReaders.splice(i,1)}getFullReader(){return assert$1(!this._fullRequestReader,"PDFNetworkStream.getFullReader can only be called once."),this._fullRequestReader=new PDFNetworkStreamFullRequestReader(this._manager,this._source),this._fullRequestReader}getRangeReader(begin,end){const reader=new PDFNetworkStreamRangeRequestReader(
+this._manager,begin,end);return reader.onClosed=this._onRangeRequestReaderClosed.bind(this),this._rangeRequestReaders.push(reader),reader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeRequestReaders.slice(0))reader.cancel(reason)}}class PDFNetworkStreamFullRequestReader{constructor(manager,source2){this._manager=manager,this._url=source2.url,this._fullRequestId=manager.request({onHeadersReceived:this._onHeadersReceived.bind(this),onDone:this._onDone.
+bind(this),onError:this._onError.bind(this),onProgress:this._onProgress.bind(this)}),this._headersCapability=Promise.withResolvers(),this._disableRange=source2.disableRange||!1,this._contentLength=source2.length,this._rangeChunkSize=source2.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._isStreamingSupported=!1,this._isRangeSupported=!1,this._cachedChunks=[],this._requests=[],this._done=!1,this._storedError=void 0,this._filename=null,this.onProgress=null}_onHeadersReceived(){
+const fullRequestXhrId=this._fullRequestId,fullRequestXhr=this._manager.getRequestXhr(fullRequestXhrId);this._manager._responseOrigin=getResponseOrigin(fullRequestXhr.responseURL);const rawResponseHeaders=fullRequestXhr.getAllResponseHeaders(),responseHeaders=new Headers(rawResponseHeaders?rawResponseHeaders.trimStart().replace(/[^\S ]+$/,"").split(/[\r\n]+/).map(x=>{const[key2,...val]=x.split(": ");return[key2,val.join(": ")]}):[]),{allowRangeRequests,suggestedLength}=validateRangeRequestCapabilities(
+{responseHeaders,isHttp:this._manager.isHttp,rangeChunkSize:this._rangeChunkSize,disableRange:this._disableRange});allowRangeRequests&&(this._isRangeSupported=!0),this._contentLength=suggestedLength||this._contentLength,this._filename=extractFilenameFromHeader(responseHeaders),this._isRangeSupported&&this._manager.abortRequest(fullRequestXhrId),this._headersCapability.resolve()}_onDone(data){if(data&&(this._requests.length>0?this._requests.shift().resolve({value:data.chunk,done:!1}):this._cachedChunks.
+push(data.chunk)),this._done=!0,!(this._cachedChunks.length>0)){for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0}}_onError(status){this._storedError=createResponseError(status,this._url),this._headersCapability.reject(this._storedError);for(const requestCapability of this._requests)requestCapability.reject(this._storedError);this._requests.length=0,this._cachedChunks.length=0}_onProgress(evt){this.onProgress?.({loaded:evt.loaded,
+total:evt.lengthComputable?evt.total:this._contentLength})}get filename(){return this._filename}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}get contentLength(){return this._contentLength}get headersReady(){return this._headersCapability.promise}async read(){if(await this._headersCapability.promise,this._storedError)throw this._storedError;if(this._cachedChunks.length>0)return{value:this._cachedChunks.shift(),done:!1};if(this._done)
+return{value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0,this._headersCapability.reject(reason);for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._manager.isPendingRequest(this._fullRequestId)&&this._manager.abortRequest(this._fullRequestId),this._fullRequestReader=null}}class PDFNetworkStreamRangeRequestReader{constructor(manager,begin,end){
+this._manager=manager,this._url=manager.url,this._requestId=manager.request({begin,end,onHeadersReceived:this._onHeadersReceived.bind(this),onDone:this._onDone.bind(this),onError:this._onError.bind(this),onProgress:this._onProgress.bind(this)}),this._requests=[],this._queuedChunk=null,this._done=!1,this._storedError=void 0,this.onProgress=null,this.onClosed=null}_onHeadersReceived(){const responseOrigin=getResponseOrigin(this._manager.getRequestXhr(this._requestId)?.responseURL);responseOrigin!==
+this._manager._responseOrigin&&(this._storedError=new Error(`Expected range response-origin "${responseOrigin}" to match "${this._manager._responseOrigin}".`),this._onError(0))}_close(){this.onClosed?.(this)}_onDone(data){const chunk=data.chunk;this._requests.length>0?this._requests.shift().resolve({value:chunk,done:!1}):this._queuedChunk=chunk,this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._close()}_onError(status){
+this._storedError??=createResponseError(status,this._url);for(const requestCapability of this._requests)requestCapability.reject(this._storedError);this._requests.length=0,this._queuedChunk=null}_onProgress(evt){this.isStreamingSupported||this.onProgress?.({loaded:evt.loaded})}get isStreamingSupported(){return!1}async read(){if(this._storedError)throw this._storedError;if(this._queuedChunk!==null){const chunk=this._queuedChunk;return this._queuedChunk=null,{value:chunk,done:!1}}if(this._done)return{
+value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._manager.isPendingRequest(this._requestId)&&this._manager.abortRequest(this._requestId),this._close()}}const urlRegex=/^[a-z][a-z0-9\-+.]+:/i;function parseUrlOrPath(sourceUrl){if(urlRegex.test(sourceUrl))
+return new URL(sourceUrl);const url2=process.getBuiltinModule("url");return new URL(url2.pathToFileURL(sourceUrl))}class PDFNodeStream{constructor(source2){this.source=source2,this.url=parseUrlOrPath(source2.url),assert$1(this.url.protocol==="file:","PDFNodeStream only supports file:// URLs."),this._fullRequestReader=null,this._rangeRequestReaders=[]}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}getFullReader(){return assert$1(!this._fullRequestReader,"PDFNodeStream.get\
+FullReader can only be called once."),this._fullRequestReader=new PDFNodeStreamFsFullReader(this),this._fullRequestReader}getRangeReader(start2,end){if(end<=this._progressiveDataLength)return null;const rangeReader=new PDFNodeStreamFsRangeReader(this,start2,end);return this._rangeRequestReaders.push(rangeReader),rangeReader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeRequestReaders.slice(0))reader.cancel(reason)}}class PDFNodeStreamFsFullReader{constructor(stream){
+this._url=stream.url,this._done=!1,this._storedError=null,this.onProgress=null;const source2=stream.source;this._contentLength=source2.length,this._loaded=0,this._filename=null,this._disableRange=source2.disableRange||!1,this._rangeChunkSize=source2.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._isStreamingSupported=!source2.disableStream,this._isRangeSupported=!source2.disableRange,this._readableStream=null,this._readCapability=Promise.withResolvers(),this.
+_headersCapability=Promise.withResolvers();const fs=process.getBuiltinModule("fs");fs.promises.lstat(this._url).then(stat=>{this._contentLength=stat.size,this._setReadableStream(fs.createReadStream(this._url)),this._headersCapability.resolve()},error2=>{error2.code==="ENOENT"&&(error2=createResponseError(0,this._url.href)),this._storedError=error2,this._headersCapability.reject(error2)})}get headersReady(){return this._headersCapability.promise}get filename(){return this._filename}get contentLength(){
+return this._contentLength}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}async read(){if(await this._readCapability.promise,this._done)return{value:void 0,done:!0};if(this._storedError)throw this._storedError;const chunk=this._readableStream.read();return chunk===null?(this._readCapability=Promise.withResolvers(),this.read()):(this._loaded+=chunk.length,this.onProgress?.({loaded:this._loaded,total:this._contentLength}),{value:new Uint8Array(
+chunk).buffer,done:!1})}cancel(reason){if(!this._readableStream){this._error(reason);return}this._readableStream.destroy(reason)}_error(reason){this._storedError=reason,this._readCapability.resolve()}_setReadableStream(readableStream){this._readableStream=readableStream,readableStream.on("readable",()=>{this._readCapability.resolve()}),readableStream.on("end",()=>{readableStream.destroy(),this._done=!0,this._readCapability.resolve()}),readableStream.on("error",reason=>{this._error(reason)}),!this.
+_isStreamingSupported&&this._isRangeSupported&&this._error(new AbortException("streaming is disabled")),this._storedError&&this._readableStream.destroy(this._storedError)}}class PDFNodeStreamFsRangeReader{constructor(stream,start2,end){this._url=stream.url,this._done=!1,this._storedError=null,this.onProgress=null,this._loaded=0,this._readableStream=null,this._readCapability=Promise.withResolvers();const source2=stream.source;this._isStreamingSupported=!source2.disableStream;const fs=process.getBuiltinModule(
+"fs");this._setReadableStream(fs.createReadStream(this._url,{start:start2,end:end-1}))}get isStreamingSupported(){return this._isStreamingSupported}async read(){if(await this._readCapability.promise,this._done)return{value:void 0,done:!0};if(this._storedError)throw this._storedError;const chunk=this._readableStream.read();return chunk===null?(this._readCapability=Promise.withResolvers(),this.read()):(this._loaded+=chunk.length,this.onProgress?.({loaded:this._loaded}),{value:new Uint8Array(chunk).
+buffer,done:!1})}cancel(reason){if(!this._readableStream){this._error(reason);return}this._readableStream.destroy(reason)}_error(reason){this._storedError=reason,this._readCapability.resolve()}_setReadableStream(readableStream){this._readableStream=readableStream,readableStream.on("readable",()=>{this._readCapability.resolve()}),readableStream.on("end",()=>{readableStream.destroy(),this._done=!0,this._readCapability.resolve()}),readableStream.on("error",reason=>{this._error(reason)}),this._storedError&&
+this._readableStream.destroy(this._storedError)}}const INITIAL_DATA=Symbol("INITIAL_DATA");class PDFObjects{#objs=Object.create(null);#ensureObj(objId){return this.#objs[objId]||={...Promise.withResolvers(),data:INITIAL_DATA}}get(objId,callback=null){if(callback){const obj2=this.#ensureObj(objId);return obj2.promise.then(()=>callback(obj2.data)),null}const obj=this.#objs[objId];if(!obj||obj.data===INITIAL_DATA)throw new Error(`Requesting object that isn't resolved yet ${objId}.`);return obj.data}has(objId){
+const obj=this.#objs[objId];return!!obj&&obj.data!==INITIAL_DATA}delete(objId){const obj=this.#objs[objId];return!obj||obj.data===INITIAL_DATA?!1:(delete this.#objs[objId],!0)}resolve(objId,data=null){const obj=this.#ensureObj(objId);obj.data=data,obj.resolve()}clear(){for(const objId in this.#objs){const{data}=this.#objs[objId];data?.bitmap?.close()}this.#objs=Object.create(null)}*[Symbol.iterator](){for(const objId in this.#objs){const{data}=this.#objs[objId];data!==INITIAL_DATA&&(yield[objId,
+data])}}}const MAX_TEXT_DIVS_TO_RENDER=1e5,DEFAULT_FONT_SIZE=30;class TextLayer{#capability=Promise.withResolvers();#container=null;#disableProcessItems=!1;#fontInspectorEnabled=!!globalThis.FontInspector?.enabled;#lang=null;#layoutTextParams=null;#pageHeight=0;#pageWidth=0;#reader=null;#rootContainer=null;#rotation=0;#scale=0;#styleCache=Object.create(null);#textContentItemsStr=[];#textContentSource=null;#textDivs=[];#textDivProperties=new WeakMap;#transform=null;static#ascentCache=new Map;static#canvasContexts=new Map;static#canvasCtxFonts=new WeakMap;static#minFontSize=null;static#pendingTextLayers=new Set;constructor({
+textContentSource,container:container2,viewport}){if(textContentSource instanceof ReadableStream)this.#textContentSource=textContentSource;else if(typeof textContentSource=="object")this.#textContentSource=new ReadableStream({start(controller){controller.enqueue(textContentSource),controller.close()}});else throw new Error('No "textContentSource" parameter specified.');this.#container=this.#rootContainer=container2,this.#scale=viewport.scale*OutputScale.pixelRatio,this.#rotation=viewport.rotation,
+this.#layoutTextParams={div:null,properties:null,ctx:null};const{pageWidth,pageHeight,pageX,pageY}=viewport.rawDims;this.#transform=[1,0,0,-1,-pageX,pageY+pageHeight],this.#pageWidth=pageWidth,this.#pageHeight=pageHeight,TextLayer.#ensureMinFontSizeComputed(),setLayerDimensions(container2,viewport),this.#capability.promise.finally(()=>{TextLayer.#pendingTextLayers.delete(this),this.#layoutTextParams=null,this.#styleCache=null}).catch(()=>{})}static get fontFamilyMap(){const{isWindows,isFirefox}=util_FeatureTest.
+platform;return shadow(this,"fontFamilyMap",new Map([["sans-serif",`${isWindows&&isFirefox?"Calibri, ":""}sans-serif`],["monospace",`${isWindows&&isFirefox?"Lucida Console, ":""}monospace`]]))}render(){const pump=()=>{this.#reader.read().then(({value,done})=>{if(done){this.#capability.resolve();return}this.#lang??=value.lang,Object.assign(this.#styleCache,value.styles),this.#processItems(value.items),pump()},this.#capability.reject)};return this.#reader=this.#textContentSource.getReader(),TextLayer.#pendingTextLayers.
+add(this),pump(),this.#capability.promise}update({viewport,onBefore=null}){const scale2=viewport.scale*OutputScale.pixelRatio,rotation=viewport.rotation;if(rotation!==this.#rotation&&(onBefore?.(),this.#rotation=rotation,setLayerDimensions(this.#rootContainer,{rotation})),scale2!==this.#scale){onBefore?.(),this.#scale=scale2;const params={div:null,properties:null,ctx:TextLayer.#getCtx(this.#lang)};for(const div of this.#textDivs)params.properties=this.#textDivProperties.get(div),params.div=div,this.#layout(
+params)}}cancel(){const abortEx=new AbortException("TextLayer task cancelled.");this.#reader?.cancel(abortEx).catch(()=>{}),this.#reader=null,this.#capability.reject(abortEx)}get textDivs(){return this.#textDivs}get textContentItemsStr(){return this.#textContentItemsStr}#processItems(items2){if(this.#disableProcessItems)return;this.#layoutTextParams.ctx??=TextLayer.#getCtx(this.#lang);const textDivs=this.#textDivs,textContentItemsStr=this.#textContentItemsStr;for(const item of items2){if(textDivs.
+length>MAX_TEXT_DIVS_TO_RENDER){warn("Ignoring additional textDivs for performance reasons."),this.#disableProcessItems=!0;return}if(item.str===void 0){if(item.type==="beginMarkedContentProps"||item.type==="beginMarkedContent"){const parent=this.#container;this.#container=document.createElement("span"),this.#container.classList.add("markedContent"),item.id&&this.#container.setAttribute("id",`${item.id}`),parent.append(this.#container)}else item.type==="endMarkedContent"&&(this.#container=this.#container.
+parentNode);continue}textContentItemsStr.push(item.str),this.#appendText(item)}}#appendText(geom){const textDiv=document.createElement("span"),textDivProperties={angle:0,canvasWidth:0,hasText:geom.str!=="",hasEOL:geom.hasEOL,fontSize:0};this.#textDivs.push(textDiv);const tx=Util.transform(this.#transform,geom.transform);let angle=Math.atan2(tx[1],tx[0]);const style2=this.#styleCache[geom.fontName];style2.vertical&&(angle+=Math.PI/2);let fontFamily=this.#fontInspectorEnabled&&style2.fontSubstitution||
+style2.fontFamily;fontFamily=TextLayer.fontFamilyMap.get(fontFamily)||fontFamily;const fontHeight=Math.hypot(tx[2],tx[3]),fontAscent=fontHeight*TextLayer.#getAscent(fontFamily,style2,this.#lang);let left,top;angle===0?(left=tx[4],top=tx[5]-fontAscent):(left=tx[4]+fontAscent*Math.sin(angle),top=tx[5]-fontAscent*Math.cos(angle));const scaleFactorStr="calc(var(--total-scale-factor) *",divStyle=textDiv.style;this.#container===this.#rootContainer?(divStyle.left=`${(100*left/this.#pageWidth).toFixed(2)}\
+%`,divStyle.top=`${(100*top/this.#pageHeight).toFixed(2)}%`):(divStyle.left=`${scaleFactorStr}${left.toFixed(2)}px)`,divStyle.top=`${scaleFactorStr}${top.toFixed(2)}px)`),divStyle.fontSize=`${scaleFactorStr}${(TextLayer.#minFontSize*fontHeight).toFixed(2)}px)`,divStyle.fontFamily=fontFamily,textDivProperties.fontSize=fontHeight,textDiv.setAttribute("role","presentation"),textDiv.textContent=geom.str,textDiv.dir=geom.dir,this.#fontInspectorEnabled&&(textDiv.dataset.fontName=style2.fontSubstitutionLoadedName||
+geom.fontName),angle!==0&&(textDivProperties.angle=angle*(180/Math.PI));let shouldScaleText=!1;if(geom.str.length>1)shouldScaleText=!0;else if(geom.str!==" "&&geom.transform[0]!==geom.transform[3]){const absScaleX=Math.abs(geom.transform[0]),absScaleY=Math.abs(geom.transform[3]);absScaleX!==absScaleY&&Math.max(absScaleX,absScaleY)/Math.min(absScaleX,absScaleY)>1.5&&(shouldScaleText=!0)}if(shouldScaleText&&(textDivProperties.canvasWidth=style2.vertical?geom.height:geom.width),this.#textDivProperties.
+set(textDiv,textDivProperties),this.#layoutTextParams.div=textDiv,this.#layoutTextParams.properties=textDivProperties,this.#layout(this.#layoutTextParams),textDivProperties.hasText&&this.#container.append(textDiv),textDivProperties.hasEOL){const br2=document.createElement("br");br2.setAttribute("role","presentation"),this.#container.append(br2)}}#layout(params){const{div,properties:properties2,ctx}=params,{style:style2}=div;let transform2="";if(TextLayer.#minFontSize>1&&(transform2=`scale(${1/TextLayer.#minFontSize}\
+)`),properties2.canvasWidth!==0&&properties2.hasText){const{fontFamily}=style2,{canvasWidth,fontSize}=properties2;TextLayer.#ensureCtxFont(ctx,fontSize*this.#scale,fontFamily);const{width}=ctx.measureText(div.textContent);width>0&&(transform2=`scaleX(${canvasWidth*this.#scale/width}) ${transform2}`)}properties2.angle!==0&&(transform2=`rotate(${properties2.angle}deg) ${transform2}`),transform2.length>0&&(style2.transform=transform2)}static cleanup(){if(!(this.#pendingTextLayers.size>0)){this.#ascentCache.
+clear();for(const{canvas}of this.#canvasContexts.values())canvas.remove();this.#canvasContexts.clear()}}static#getCtx(lang=null){let ctx=this.#canvasContexts.get(lang||="");if(!ctx){const canvas=document.createElement("canvas");canvas.className="hiddenCanvasElement",canvas.lang=lang,document.body.append(canvas),ctx=canvas.getContext("2d",{alpha:!1,willReadFrequently:!0}),this.#canvasContexts.set(lang,ctx),this.#canvasCtxFonts.set(ctx,{size:0,family:""})}return ctx}static#ensureCtxFont(ctx,size2,family){
+const cached2=this.#canvasCtxFonts.get(ctx);size2===cached2.size&&family===cached2.family||(ctx.font=`${size2}px ${family}`,cached2.size=size2,cached2.family=family)}static#ensureMinFontSizeComputed(){if(this.#minFontSize!==null)return;const div=document.createElement("div");div.style.opacity=0,div.style.lineHeight=1,div.style.fontSize="1px",div.style.position="absolute",div.textContent="X",document.body.append(div),this.#minFontSize=div.getBoundingClientRect().height,div.remove()}static#getAscent(fontFamily,style2,lang){
+const cachedAscent=this.#ascentCache.get(fontFamily);if(cachedAscent)return cachedAscent;const ctx=this.#getCtx(lang);ctx.canvas.width=ctx.canvas.height=DEFAULT_FONT_SIZE,this.#ensureCtxFont(ctx,DEFAULT_FONT_SIZE,fontFamily);const metrics=ctx.measureText(""),ascent=metrics.fontBoundingBoxAscent,descent=Math.abs(metrics.fontBoundingBoxDescent);ctx.canvas.width=ctx.canvas.height=0;let ratio=.8;return ascent?ratio=ascent/(ascent+descent):(util_FeatureTest.platform.isFirefox&&warn("Enable the `dom.t\
+extMetrics.fontBoundingBox.enabled` preference in `about:config` to improve TextLayer rendering."),style2.ascent?ratio=style2.ascent:style2.descent&&(ratio=1+style2.descent)),this.#ascentCache.set(fontFamily,ratio),ratio}}class XfaText{static textContent(xfa){const items2=[],output={items:items2,styles:Object.create(null)};function walk(node2){if(!node2)return;let str=null;const name=node2.name;if(name==="#text")str=node2.value;else if(XfaText.shouldBuildText(name))node2?.attributes?.textContent?
+str=node2.attributes.textContent:node2.value&&(str=node2.value);else return;if(str!==null&&items2.push({str}),!!node2.children)for(const child2 of node2.children)walk(child2)}return walk(xfa),output}static shouldBuildText(name){return!(name==="textarea"||name==="input"||name==="option"||name==="select")}}const RENDERING_CANCELLED_TIMEOUT=100;function getDocument(src={}){typeof src=="string"||src instanceof URL?src={url:src}:(src instanceof ArrayBuffer||ArrayBuffer.isView(src))&&(src={data:src});
+const task=new PDFDocumentLoadingTask,{docId}=task,url2=src.url?getUrlProp(src.url):null,data=src.data?getDataProp(src.data):null,httpHeaders=src.httpHeaders||null,withCredentials=src.withCredentials===!0,password=src.password??null,rangeTransport=src.range instanceof PDFDataRangeTransport?src.range:null,rangeChunkSize=Number.isInteger(src.rangeChunkSize)&&src.rangeChunkSize>0?src.rangeChunkSize:2**16;let worker=src.worker instanceof PDFWorker?src.worker:null;const verbosity2=src.verbosity,docBaseUrl=typeof src.
+docBaseUrl=="string"&&!isDataScheme(src.docBaseUrl)?src.docBaseUrl:null,cMapUrl=getFactoryUrlProp(src.cMapUrl),cMapPacked=src.cMapPacked!==!1,CMapReaderFactory=src.CMapReaderFactory||(isNodeJS?NodeCMapReaderFactory:DOMCMapReaderFactory),iccUrl=getFactoryUrlProp(src.iccUrl),standardFontDataUrl=getFactoryUrlProp(src.standardFontDataUrl),StandardFontDataFactory=src.StandardFontDataFactory||(isNodeJS?NodeStandardFontDataFactory:DOMStandardFontDataFactory),wasmUrl=getFactoryUrlProp(src.wasmUrl),WasmFactory=src.
+WasmFactory||(isNodeJS?NodeWasmFactory:DOMWasmFactory),ignoreErrors=src.stopAtErrors!==!0,maxImageSize=Number.isInteger(src.maxImageSize)&&src.maxImageSize>-1?src.maxImageSize:-1,isEvalSupported2=src.isEvalSupported!==!1,isOffscreenCanvasSupported=typeof src.isOffscreenCanvasSupported=="boolean"?src.isOffscreenCanvasSupported:!isNodeJS,isImageDecoderSupported=typeof src.isImageDecoderSupported=="boolean"?src.isImageDecoderSupported:!isNodeJS&&(util_FeatureTest.platform.isFirefox||!globalThis.chrome),
+canvasMaxAreaInBytes=Number.isInteger(src.canvasMaxAreaInBytes)?src.canvasMaxAreaInBytes:-1,disableFontFace=typeof src.disableFontFace=="boolean"?src.disableFontFace:isNodeJS,fontExtraProperties=src.fontExtraProperties===!0,enableXfa=src.enableXfa===!0,ownerDocument=src.ownerDocument||globalThis.document,disableRange=src.disableRange===!0,disableStream=src.disableStream===!0,disableAutoFetch=src.disableAutoFetch===!0,pdfBug=src.pdfBug===!0,CanvasFactory=src.CanvasFactory||(isNodeJS?NodeCanvasFactory:
+DOMCanvasFactory),FilterFactory=src.FilterFactory||(isNodeJS?NodeFilterFactory:DOMFilterFactory),enableHWA=src.enableHWA===!0,useWasm=src.useWasm!==!1,length=rangeTransport?rangeTransport.length:src.length??NaN,useSystemFonts=typeof src.useSystemFonts=="boolean"?src.useSystemFonts:!isNodeJS&&!disableFontFace,useWorkerFetch=typeof src.useWorkerFetch=="boolean"?src.useWorkerFetch:!!(CMapReaderFactory===DOMCMapReaderFactory&&StandardFontDataFactory===DOMStandardFontDataFactory&&WasmFactory===DOMWasmFactory&&
+cMapUrl&&standardFontDataUrl&&wasmUrl&&isValidFetchUrl(cMapUrl,document.baseURI)&&isValidFetchUrl(standardFontDataUrl,document.baseURI)&&isValidFetchUrl(wasmUrl,document.baseURI)),styleElement2=null;setVerbosityLevel(verbosity2);const transportFactory={canvasFactory:new CanvasFactory({ownerDocument,enableHWA}),filterFactory:new FilterFactory({docId,ownerDocument}),cMapReaderFactory:useWorkerFetch?null:new CMapReaderFactory({baseUrl:cMapUrl,isCompressed:cMapPacked}),standardFontDataFactory:useWorkerFetch?
+null:new StandardFontDataFactory({baseUrl:standardFontDataUrl}),wasmFactory:useWorkerFetch?null:new WasmFactory({baseUrl:wasmUrl})};worker||(worker=PDFWorker.create({verbosity:verbosity2,port:GlobalWorkerOptions.workerPort}),task._worker=worker);const docParams={docId,apiVersion:"5.4.54",data,password,disableAutoFetch,rangeChunkSize,length,docBaseUrl,enableXfa,evaluatorOptions:{maxImageSize,disableFontFace,ignoreErrors,isEvalSupported:isEvalSupported2,isOffscreenCanvasSupported,isImageDecoderSupported,
+canvasMaxAreaInBytes,fontExtraProperties,useSystemFonts,useWasm,useWorkerFetch,cMapUrl,iccUrl,standardFontDataUrl,wasmUrl}},transportParams={ownerDocument,pdfBug,styleElement:styleElement2,loadingParams:{disableAutoFetch,enableXfa}};return worker.promise.then(function(){if(task.destroyed)throw new Error("Loading aborted");if(worker.destroyed)throw new Error("Worker was destroyed");const workerIdPromise=worker.messageHandler.sendWithPromise("GetDocRequest",docParams,data?[data.buffer]:null);let networkStream;
+if(rangeTransport)networkStream=new PDFDataTransportStream(rangeTransport,{disableRange,disableStream});else if(!data){if(!url2)throw new Error("getDocument - no `url` parameter provided.");const NetworkStream=isValidFetchUrl(url2)?PDFFetchStream:isNodeJS?PDFNodeStream:PDFNetworkStream;networkStream=new NetworkStream({url:url2,length,httpHeaders,withCredentials,rangeChunkSize,disableRange,disableStream})}return workerIdPromise.then(workerId=>{if(task.destroyed)throw new Error("Loading aborted");
+if(worker.destroyed)throw new Error("Worker was destroyed");const messageHandler=new MessageHandler(docId,workerId,worker.port),transport=new WorkerTransport(messageHandler,task,networkStream,transportParams,transportFactory,enableHWA);task._transport=transport,messageHandler.send("Ready",null)})}).catch(task._capability.reject),task}class PDFDocumentLoadingTask{static#docId=0;_capability=Promise.withResolvers();_transport=null;_worker=null;docId=`d${PDFDocumentLoadingTask.#docId++}`;destroyed=!1;onPassword=null;onProgress=null;get promise(){
+return this._capability.promise}async destroy(){this.destroyed=!0;try{this._worker?.port&&(this._worker._pendingDestroy=!0),await this._transport?.destroy()}catch(ex){throw this._worker?.port&&delete this._worker._pendingDestroy,ex}this._transport=null,this._worker?.destroy(),this._worker=null}async getData(){return this._transport.getData()}}class PDFDataRangeTransport{#capability=Promise.withResolvers();#progressiveDoneListeners=[];#progressiveReadListeners=[];#progressListeners=[];#rangeListeners=[];constructor(length,initialData,progressiveDone=!1,contentDispositionFilename=null){
+this.length=length,this.initialData=initialData,this.progressiveDone=progressiveDone,this.contentDispositionFilename=contentDispositionFilename}addRangeListener(listener){this.#rangeListeners.push(listener)}addProgressListener(listener){this.#progressListeners.push(listener)}addProgressiveReadListener(listener){this.#progressiveReadListeners.push(listener)}addProgressiveDoneListener(listener){this.#progressiveDoneListeners.push(listener)}onDataRange(begin,chunk){for(const listener of this.#rangeListeners)
+listener(begin,chunk)}onDataProgress(loaded,total){this.#capability.promise.then(()=>{for(const listener of this.#progressListeners)listener(loaded,total)})}onDataProgressiveRead(chunk){this.#capability.promise.then(()=>{for(const listener of this.#progressiveReadListeners)listener(chunk)})}onDataProgressiveDone(){this.#capability.promise.then(()=>{for(const listener of this.#progressiveDoneListeners)listener()})}transportReady(){this.#capability.resolve()}requestDataRange(begin,end){unreachable(
+"Abstract method PDFDataRangeTransport.requestDataRange")}abort(){}}class PDFDocumentProxy{constructor(pdfInfo,transport){this._pdfInfo=pdfInfo,this._transport=transport}get annotationStorage(){return this._transport.annotationStorage}get canvasFactory(){return this._transport.canvasFactory}get filterFactory(){return this._transport.filterFactory}get numPages(){return this._pdfInfo.numPages}get fingerprints(){return this._pdfInfo.fingerprints}get isPureXfa(){return shadow(this,"isPureXfa",!!this.
+_transport._htmlForXfa)}get allXfaHtml(){return this._transport._htmlForXfa}getPage(pageNumber){return this._transport.getPage(pageNumber)}getPageIndex(ref2){return this._transport.getPageIndex(ref2)}getDestinations(){return this._transport.getDestinations()}getDestination(id2){return this._transport.getDestination(id2)}getPageLabels(){return this._transport.getPageLabels()}getPageLayout(){return this._transport.getPageLayout()}getPageMode(){return this._transport.getPageMode()}getViewerPreferences(){
+return this._transport.getViewerPreferences()}getOpenAction(){return this._transport.getOpenAction()}getAttachments(){return this._transport.getAttachments()}getJSActions(){return this._transport.getDocJSActions()}getOutline(){return this._transport.getOutline()}getOptionalContentConfig({intent="display"}={}){const{renderingIntent}=this._transport.getRenderingIntent(intent);return this._transport.getOptionalContentConfig(renderingIntent)}getPermissions(){return this._transport.getPermissions()}getMetadata(){
+return this._transport.getMetadata()}getMarkInfo(){return this._transport.getMarkInfo()}getData(){return this._transport.getData()}saveDocument(){return this._transport.saveDocument()}getDownloadInfo(){return this._transport.downloadInfoCapability.promise}cleanup(keepLoadedFonts=!1){return this._transport.startCleanup(keepLoadedFonts||this.isPureXfa)}destroy(){return this.loadingTask.destroy()}cachedPageNumber(ref2){return this._transport.cachedPageNumber(ref2)}get loadingParams(){return this._transport.
+loadingParams}get loadingTask(){return this._transport.loadingTask}getFieldObjects(){return this._transport.getFieldObjects()}hasJSActions(){return this._transport.hasJSActions()}getCalculationOrderIds(){return this._transport.getCalculationOrderIds()}}class PDFPageProxy{#pendingCleanup=!1;constructor(pageIndex,pageInfo,transport,pdfBug=!1){this._pageIndex=pageIndex,this._pageInfo=pageInfo,this._transport=transport,this._stats=pdfBug?new StatTimer:null,this._pdfBug=pdfBug,this.commonObjs=transport.
+commonObjs,this.objs=new PDFObjects,this._intentStates=new Map,this.destroyed=!1}get pageNumber(){return this._pageIndex+1}get rotate(){return this._pageInfo.rotate}get ref(){return this._pageInfo.ref}get userUnit(){return this._pageInfo.userUnit}get view(){return this._pageInfo.view}getViewport({scale:scale2,rotation=this.rotate,offsetX=0,offsetY=0,dontFlip=!1}={}){return new PageViewport({viewBox:this.view,userUnit:this.userUnit,scale:scale2,rotation,offsetX,offsetY,dontFlip})}getAnnotations({
+intent="display"}={}){const{renderingIntent}=this._transport.getRenderingIntent(intent);return this._transport.getAnnotations(this._pageIndex,renderingIntent)}getJSActions(){return this._transport.getPageJSActions(this._pageIndex)}get filterFactory(){return this._transport.filterFactory}get isPureXfa(){return shadow(this,"isPureXfa",!!this._transport._htmlForXfa)}async getXfa(){return this._transport._htmlForXfa?.children[this._pageIndex]||null}render({canvasContext,canvas=canvasContext.canvas,viewport,
+intent="display",annotationMode=AnnotationMode.ENABLE,transform:transform2=null,background=null,optionalContentConfigPromise=null,annotationCanvasMap=null,pageColors=null,printAnnotationStorage=null,isEditing:isEditing2=!1}){this._stats?.time("Overall");const intentArgs=this._transport.getRenderingIntent(intent,annotationMode,printAnnotationStorage,isEditing2),{renderingIntent,cacheKey}=intentArgs;this.#pendingCleanup=!1,optionalContentConfigPromise||=this._transport.getOptionalContentConfig(renderingIntent);
+let intentState=this._intentStates.get(cacheKey);intentState||(intentState=Object.create(null),this._intentStates.set(cacheKey,intentState)),intentState.streamReaderCancelTimeout&&(clearTimeout(intentState.streamReaderCancelTimeout),intentState.streamReaderCancelTimeout=null);const intentPrint=!!(renderingIntent&RenderingIntentFlag.PRINT);intentState.displayReadyCapability||(intentState.displayReadyCapability=Promise.withResolvers(),intentState.operatorList={fnArray:[],argsArray:[],lastChunk:!1,
+separateAnnots:null},this._stats?.time("Page Request"),this._pumpOperatorList(intentArgs));const complete=error2=>{intentState.renderTasks.delete(internalRenderTask),intentPrint&&(this.#pendingCleanup=!0),this.#tryCleanup(),error2?(internalRenderTask.capability.reject(error2),this._abortOperatorList({intentState,reason:error2 instanceof Error?error2:new Error(error2)})):internalRenderTask.capability.resolve(),this._stats&&(this._stats.timeEnd("Rendering"),this._stats.timeEnd("Overall"),globalThis.
+Stats?.enabled&&globalThis.Stats.add(this.pageNumber,this._stats))},internalRenderTask=new InternalRenderTask({callback:complete,params:{canvas,canvasContext,viewport,transform:transform2,background},objs:this.objs,commonObjs:this.commonObjs,annotationCanvasMap,operatorList:intentState.operatorList,pageIndex:this._pageIndex,canvasFactory:this._transport.canvasFactory,filterFactory:this._transport.filterFactory,useRequestAnimationFrame:!intentPrint,pdfBug:this._pdfBug,pageColors,enableHWA:this._transport.
+enableHWA});(intentState.renderTasks||=new Set).add(internalRenderTask);const renderTask=internalRenderTask.task;return Promise.all([intentState.displayReadyCapability.promise,optionalContentConfigPromise]).then(([transparency,optionalContentConfig])=>{if(this.destroyed){complete();return}if(this._stats?.time("Rendering"),!(optionalContentConfig.renderingIntent&renderingIntent))throw new Error("Must use the same `intent`-argument when calling the `PDFPageProxy.render` and `PDFDocumentProxy.getOp\
+tionalContentConfig` methods.");internalRenderTask.initializeGraphics({transparency,optionalContentConfig}),internalRenderTask.operatorListChanged()}).catch(complete),renderTask}getOperatorList({intent="display",annotationMode=AnnotationMode.ENABLE,printAnnotationStorage=null,isEditing:isEditing2=!1}={}){function operatorListChanged(){intentState.operatorList.lastChunk&&(intentState.opListReadCapability.resolve(intentState.operatorList),intentState.renderTasks.delete(opListTask))}const intentArgs=this.
+_transport.getRenderingIntent(intent,annotationMode,printAnnotationStorage,isEditing2,!0);let intentState=this._intentStates.get(intentArgs.cacheKey);intentState||(intentState=Object.create(null),this._intentStates.set(intentArgs.cacheKey,intentState));let opListTask;return intentState.opListReadCapability||(opListTask=Object.create(null),opListTask.operatorListChanged=operatorListChanged,intentState.opListReadCapability=Promise.withResolvers(),(intentState.renderTasks||=new Set).add(opListTask),
+intentState.operatorList={fnArray:[],argsArray:[],lastChunk:!1,separateAnnots:null},this._stats?.time("Page Request"),this._pumpOperatorList(intentArgs)),intentState.opListReadCapability.promise}streamTextContent({includeMarkedContent=!1,disableNormalization=!1}={}){return this._transport.messageHandler.sendWithStream("GetTextContent",{pageIndex:this._pageIndex,includeMarkedContent:includeMarkedContent===!0,disableNormalization:disableNormalization===!0},{highWaterMark:100,size(textContent){return textContent.
+items.length}})}getTextContent(params={}){if(this._transport._htmlForXfa)return this.getXfa().then(xfa=>XfaText.textContent(xfa));const readableStream=this.streamTextContent(params);return new Promise(function(resolve2,reject){function pump(){reader.read().then(function({value,done}){if(done){resolve2(textContent);return}textContent.lang??=value.lang,Object.assign(textContent.styles,value.styles),textContent.items.push(...value.items),pump()},reject)}const reader=readableStream.getReader(),textContent={
+items:[],styles:Object.create(null),lang:null};pump()})}getStructTree(){return this._transport.getStructTree(this._pageIndex)}_destroy(){this.destroyed=!0;const waitOn=[];for(const intentState of this._intentStates.values())if(this._abortOperatorList({intentState,reason:new Error("Page was destroyed."),force:!0}),!intentState.opListReadCapability)for(const internalRenderTask of intentState.renderTasks)waitOn.push(internalRenderTask.completed),internalRenderTask.cancel();return this.objs.clear(),
+this.#pendingCleanup=!1,Promise.all(waitOn)}cleanup(resetStats=!1){this.#pendingCleanup=!0;const success=this.#tryCleanup();return resetStats&&success&&(this._stats&&=new StatTimer),success}#tryCleanup(){if(!this.#pendingCleanup||this.destroyed)return!1;for(const{renderTasks,operatorList}of this._intentStates.values())if(renderTasks.size>0||!operatorList.lastChunk)return!1;return this._intentStates.clear(),this.objs.clear(),this.#pendingCleanup=!1,!0}_startRenderPage(transparency,cacheKey){const intentState=this.
+_intentStates.get(cacheKey);intentState&&(this._stats?.timeEnd("Page Request"),intentState.displayReadyCapability?.resolve(transparency))}_renderPageChunk(operatorListChunk,intentState){for(let i=0,ii=operatorListChunk.length;i<ii;i++)intentState.operatorList.fnArray.push(operatorListChunk.fnArray[i]),intentState.operatorList.argsArray.push(operatorListChunk.argsArray[i]);intentState.operatorList.lastChunk=operatorListChunk.lastChunk,intentState.operatorList.separateAnnots=operatorListChunk.separateAnnots;
+for(const internalRenderTask of intentState.renderTasks)internalRenderTask.operatorListChanged();operatorListChunk.lastChunk&&this.#tryCleanup()}_pumpOperatorList({renderingIntent,cacheKey,annotationStorageSerializable,modifiedIds}){const{map:map2,transfer}=annotationStorageSerializable,reader=this._transport.messageHandler.sendWithStream("GetOperatorList",{pageIndex:this._pageIndex,intent:renderingIntent,cacheKey,annotationStorage:map2,modifiedIds},transfer).getReader(),intentState=this._intentStates.
+get(cacheKey);intentState.streamReader=reader;const pump=()=>{reader.read().then(({value,done})=>{if(done){intentState.streamReader=null;return}this._transport.destroyed||(this._renderPageChunk(value,intentState),pump())},reason=>{if(intentState.streamReader=null,!this._transport.destroyed){if(intentState.operatorList){intentState.operatorList.lastChunk=!0;for(const internalRenderTask of intentState.renderTasks)internalRenderTask.operatorListChanged();this.#tryCleanup()}if(intentState.displayReadyCapability)
+intentState.displayReadyCapability.reject(reason);else if(intentState.opListReadCapability)intentState.opListReadCapability.reject(reason);else throw reason}})};pump()}_abortOperatorList({intentState,reason,force=!1}){if(intentState.streamReader){if(intentState.streamReaderCancelTimeout&&(clearTimeout(intentState.streamReaderCancelTimeout),intentState.streamReaderCancelTimeout=null),!force){if(intentState.renderTasks.size>0)return;if(reason instanceof RenderingCancelledException){let delay=RENDERING_CANCELLED_TIMEOUT;
+reason.extraDelay>0&&reason.extraDelay<1e3&&(delay+=reason.extraDelay),intentState.streamReaderCancelTimeout=setTimeout(()=>{intentState.streamReaderCancelTimeout=null,this._abortOperatorList({intentState,reason,force:!0})},delay);return}}if(intentState.streamReader.cancel(new AbortException(reason.message)).catch(()=>{}),intentState.streamReader=null,!this._transport.destroyed){for(const[curCacheKey,curIntentState]of this._intentStates)if(curIntentState===intentState){this._intentStates.delete(
+curCacheKey);break}this.cleanup()}}}get stats(){return this._stats}}var _capability,_messageHandler,_port,_webWorker,_fakeWorkerId,_isWorkerDisabled,_workerPorts,_PDFWorker_instances,resolve_fn,initializeFromPort_fn,initialize_fn,setupFakeWorker_fn,_PDFWorker_static,mainThreadWorkerMessageHandler_get;const _PDFWorker=class _PDFWorker{constructor({name=null,port=null,verbosity:verbosity2=getVerbosityLevel()}={}){__privateAdd(this,_PDFWorker_instances);__privateAdd(this,_capability,Promise.withResolvers());
+__privateAdd(this,_messageHandler,null);__privateAdd(this,_port,null);__privateAdd(this,_webWorker,null);if(this.name=name,this.destroyed=!1,this.verbosity=verbosity2,port){if(__privateGet(_PDFWorker,_workerPorts).has(port))throw new Error("Cannot use more than one PDFWorker per port.");__privateGet(_PDFWorker,_workerPorts).set(port,this),__privateMethod(this,_PDFWorker_instances,initializeFromPort_fn).call(this,port)}else __privateMethod(this,_PDFWorker_instances,initialize_fn).call(this)}get promise(){
+return __privateGet(this,_capability).promise}get port(){return __privateGet(this,_port)}get messageHandler(){return __privateGet(this,_messageHandler)}destroy(){this.destroyed=!0,__privateGet(this,_webWorker)?.terminate(),__privateSet(this,_webWorker,null),__privateGet(_PDFWorker,_workerPorts).delete(__privateGet(this,_port)),__privateSet(this,_port,null),__privateGet(this,_messageHandler)?.destroy(),__privateSet(this,_messageHandler,null)}static create(params){const cachedPort=__privateGet(this,
+_workerPorts).get(params?.port);if(cachedPort){if(cachedPort._pendingDestroy)throw new Error("PDFWorker.create - the worker is being destroyed.\nPlease remember to await `PDFDocumentLoadingTask.destroy()`-calls.");return cachedPort}return new _PDFWorker(params)}static get workerSrc(){if(GlobalWorkerOptions.workerSrc)return GlobalWorkerOptions.workerSrc;throw new Error('No "GlobalWorkerOptions.workerSrc" specified.')}static get _setupFakeWorkerGlobal(){return shadow(this,"_setupFakeWorkerGlobal",
+(async()=>__privateGet(this,_PDFWorker_static,mainThreadWorkerMessageHandler_get)?__privateGet(this,_PDFWorker_static,mainThreadWorkerMessageHandler_get):(await import(this.workerSrc)).WorkerMessageHandler)())}};_capability=new WeakMap,_messageHandler=new WeakMap,_port=new WeakMap,_webWorker=new WeakMap,_fakeWorkerId=new WeakMap,_isWorkerDisabled=new WeakMap,_workerPorts=new WeakMap,_PDFWorker_instances=new WeakSet,resolve_fn=function(){__privateGet(this,_capability).resolve(),__privateGet(this,
+_messageHandler).send("configure",{verbosity:this.verbosity})},initializeFromPort_fn=function(port){__privateSet(this,_port,port),__privateSet(this,_messageHandler,new MessageHandler("main","worker",port)),__privateGet(this,_messageHandler).on("ready",()=>{}),__privateMethod(this,_PDFWorker_instances,resolve_fn).call(this)},initialize_fn=function(){if(__privateGet(_PDFWorker,_isWorkerDisabled)||__privateGet(_PDFWorker,_PDFWorker_static,mainThreadWorkerMessageHandler_get)){__privateMethod(this,_PDFWorker_instances,
+setupFakeWorker_fn).call(this);return}let{workerSrc}=_PDFWorker;try{_PDFWorker._isSameOrigin(window.location,workerSrc)||(workerSrc=_PDFWorker._createCDNWrapper(new URL(workerSrc,window.location).href));const worker=new Worker(workerSrc,{type:"module"}),messageHandler=new MessageHandler("main","worker",worker),terminateEarly=()=>{ac.abort(),messageHandler.destroy(),worker.terminate(),this.destroyed?__privateGet(this,_capability).reject(new Error("Worker was destroyed")):__privateMethod(this,_PDFWorker_instances,
+setupFakeWorker_fn).call(this)},ac=new AbortController;worker.addEventListener("error",()=>{__privateGet(this,_webWorker)||terminateEarly()},{signal:ac.signal}),messageHandler.on("test",data=>{if(ac.abort(),this.destroyed||!data){terminateEarly();return}__privateSet(this,_messageHandler,messageHandler),__privateSet(this,_port,worker),__privateSet(this,_webWorker,worker),__privateMethod(this,_PDFWorker_instances,resolve_fn).call(this)}),messageHandler.on("ready",data=>{if(ac.abort(),this.destroyed){
+terminateEarly();return}try{sendTest()}catch{__privateMethod(this,_PDFWorker_instances,setupFakeWorker_fn).call(this)}});const sendTest=()=>{const testObj=new Uint8Array;messageHandler.send("test",testObj,[testObj.buffer])};sendTest();return}catch{info("The worker has been disabled.")}__privateMethod(this,_PDFWorker_instances,setupFakeWorker_fn).call(this)},setupFakeWorker_fn=function(){__privateGet(_PDFWorker,_isWorkerDisabled)||(warn("Setting up fake worker."),__privateSet(_PDFWorker,_isWorkerDisabled,
+!0)),_PDFWorker._setupFakeWorkerGlobal.then(WorkerMessageHandler=>{if(this.destroyed){__privateGet(this,_capability).reject(new Error("Worker was destroyed"));return}const port=new LoopbackPort;__privateSet(this,_port,port);const id2=`fake${__privateWrapper(_PDFWorker,_fakeWorkerId)._++}`,workerHandler=new MessageHandler(id2+"_worker",id2,port);WorkerMessageHandler.setup(workerHandler,port),__privateSet(this,_messageHandler,new MessageHandler(id2,id2+"_worker",port)),__privateMethod(this,_PDFWorker_instances,
+resolve_fn).call(this)}).catch(reason=>{__privateGet(this,_capability).reject(new Error(`Setting up fake worker failed: "${reason.message}".`))})},_PDFWorker_static=new WeakSet,mainThreadWorkerMessageHandler_get=function(){try{return globalThis.pdfjsWorker?.WorkerMessageHandler||null}catch{return null}},__privateAdd(_PDFWorker,_PDFWorker_static),__privateAdd(_PDFWorker,_fakeWorkerId,0),__privateAdd(_PDFWorker,_isWorkerDisabled,!1),__privateAdd(_PDFWorker,_workerPorts,new WeakMap),isNodeJS&&(__privateSet(
+_PDFWorker,_isWorkerDisabled,!0),GlobalWorkerOptions.workerSrc||="./pdf.worker.mjs"),_PDFWorker._isSameOrigin=(baseUrl,otherUrl)=>{const base2=URL.parse(baseUrl);if(!base2?.origin||base2.origin==="null")return!1;const other=new URL(otherUrl,base2);return base2.origin===other.origin},_PDFWorker._createCDNWrapper=url2=>{const wrapper=`await import("${url2}");`;return URL.createObjectURL(new Blob([wrapper],{type:"text/javascript"}))},_PDFWorker.fromPort=params=>{if(deprecated("`PDFWorker.fromPort` \
+- please use `PDFWorker.create` instead."),!params?.port)throw new Error("PDFWorker.fromPort - invalid method signature.");return _PDFWorker.create(params)};let PDFWorker=_PDFWorker;class WorkerTransport{#methodPromises=new Map;#pageCache=new Map;#pagePromises=new Map;#pageRefCache=new Map;#passwordCapability=null;constructor(messageHandler,loadingTask,networkStream,params,factory,enableHWA){this.messageHandler=messageHandler,this.loadingTask=loadingTask,this.commonObjs=new PDFObjects,this.fontLoader=
+new FontLoader({ownerDocument:params.ownerDocument,styleElement:params.styleElement}),this.loadingParams=params.loadingParams,this._params=params,this.canvasFactory=factory.canvasFactory,this.filterFactory=factory.filterFactory,this.cMapReaderFactory=factory.cMapReaderFactory,this.standardFontDataFactory=factory.standardFontDataFactory,this.wasmFactory=factory.wasmFactory,this.destroyed=!1,this.destroyCapability=null,this._networkStream=networkStream,this._fullReader=null,this._lastProgress=null,
+this.downloadInfoCapability=Promise.withResolvers(),this.enableHWA=enableHWA,this.setupMessageHandler()}#cacheSimpleMethod(name,data=null){const cachedPromise=this.#methodPromises.get(name);if(cachedPromise)return cachedPromise;const promise=this.messageHandler.sendWithPromise(name,data);return this.#methodPromises.set(name,promise),promise}get annotationStorage(){return shadow(this,"annotationStorage",new AnnotationStorage)}getRenderingIntent(intent,annotationMode=AnnotationMode.ENABLE,printAnnotationStorage=null,isEditing2=!1,isOpList=!1){
+let renderingIntent=RenderingIntentFlag.DISPLAY,annotationStorageSerializable=SerializableEmpty;switch(intent){case"any":renderingIntent=RenderingIntentFlag.ANY;break;case"display":break;case"print":renderingIntent=RenderingIntentFlag.PRINT;break;default:warn(`getRenderingIntent - invalid intent: ${intent}`)}const annotationStorage=renderingIntent&RenderingIntentFlag.PRINT&&printAnnotationStorage instanceof PrintAnnotationStorage?printAnnotationStorage:this.annotationStorage;switch(annotationMode){case AnnotationMode.
+DISABLE:renderingIntent+=RenderingIntentFlag.ANNOTATIONS_DISABLE;break;case AnnotationMode.ENABLE:break;case AnnotationMode.ENABLE_FORMS:renderingIntent+=RenderingIntentFlag.ANNOTATIONS_FORMS;break;case AnnotationMode.ENABLE_STORAGE:renderingIntent+=RenderingIntentFlag.ANNOTATIONS_STORAGE,annotationStorageSerializable=annotationStorage.serializable;break;default:warn(`getRenderingIntent - invalid annotationMode: ${annotationMode}`)}isEditing2&&(renderingIntent+=RenderingIntentFlag.IS_EDITING),isOpList&&
+(renderingIntent+=RenderingIntentFlag.OPLIST);const{ids:modifiedIds,hash:modifiedIdsHash}=annotationStorage.modifiedIds,cacheKeyBuf=[renderingIntent,annotationStorageSerializable.hash,modifiedIdsHash];return{renderingIntent,cacheKey:cacheKeyBuf.join("_"),annotationStorageSerializable,modifiedIds}}destroy(){if(this.destroyCapability)return this.destroyCapability.promise;this.destroyed=!0,this.destroyCapability=Promise.withResolvers(),this.#passwordCapability?.reject(new Error("Worker was destroye\
+d during onPassword callback"));const waitOn=[];for(const page2 of this.#pageCache.values())waitOn.push(page2._destroy());this.#pageCache.clear(),this.#pagePromises.clear(),this.#pageRefCache.clear(),this.hasOwnProperty("annotationStorage")&&this.annotationStorage.resetModified();const terminated=this.messageHandler.sendWithPromise("Terminate",null);return waitOn.push(terminated),Promise.all(waitOn).then(()=>{this.commonObjs.clear(),this.fontLoader.clear(),this.#methodPromises.clear(),this.filterFactory.
+destroy(),TextLayer.cleanup(),this._networkStream?.cancelAllRequests(new AbortException("Worker was terminated.")),this.messageHandler?.destroy(),this.messageHandler=null,this.destroyCapability.resolve()},this.destroyCapability.reject),this.destroyCapability.promise}setupMessageHandler(){const{messageHandler,loadingTask}=this;messageHandler.on("GetReader",(data,sink)=>{assert$1(this._networkStream,"GetReader - no `IPDFStream` instance available."),this._fullReader=this._networkStream.getFullReader(),
+this._fullReader.onProgress=evt=>{this._lastProgress={loaded:evt.loaded,total:evt.total}},sink.onPull=()=>{this._fullReader.read().then(function({value,done}){if(done){sink.close();return}assert$1(value instanceof ArrayBuffer,"GetReader - expected an ArrayBuffer."),sink.enqueue(new Uint8Array(value),1,[value])}).catch(reason=>{sink.error(reason)})},sink.onCancel=reason=>{this._fullReader.cancel(reason),sink.ready.catch(readyReason=>{if(!this.destroyed)throw readyReason})}}),messageHandler.on("Re\
+aderHeadersReady",async data=>{await this._fullReader.headersReady;const{isStreamingSupported,isRangeSupported,contentLength}=this._fullReader;return(!isStreamingSupported||!isRangeSupported)&&(this._lastProgress&&loadingTask.onProgress?.(this._lastProgress),this._fullReader.onProgress=evt=>{loadingTask.onProgress?.({loaded:evt.loaded,total:evt.total})}),{isStreamingSupported,isRangeSupported,contentLength}}),messageHandler.on("GetRangeReader",(data,sink)=>{assert$1(this._networkStream,"GetRange\
+Reader - no `IPDFStream` instance available.");const rangeReader=this._networkStream.getRangeReader(data.begin,data.end);if(!rangeReader){sink.close();return}sink.onPull=()=>{rangeReader.read().then(function({value,done}){if(done){sink.close();return}assert$1(value instanceof ArrayBuffer,"GetRangeReader - expected an ArrayBuffer."),sink.enqueue(new Uint8Array(value),1,[value])}).catch(reason=>{sink.error(reason)})},sink.onCancel=reason=>{rangeReader.cancel(reason),sink.ready.catch(readyReason=>{
+if(!this.destroyed)throw readyReason})}}),messageHandler.on("GetDoc",({pdfInfo})=>{this._numPages=pdfInfo.numPages,this._htmlForXfa=pdfInfo.htmlForXfa,delete pdfInfo.htmlForXfa,loadingTask._capability.resolve(new PDFDocumentProxy(pdfInfo,this))}),messageHandler.on("DocException",ex=>{loadingTask._capability.reject(wrapReason(ex))}),messageHandler.on("PasswordRequest",ex=>{this.#passwordCapability=Promise.withResolvers();try{if(!loadingTask.onPassword)throw wrapReason(ex);const updatePassword=password=>{
+password instanceof Error?this.#passwordCapability.reject(password):this.#passwordCapability.resolve({password})};loadingTask.onPassword(updatePassword,ex.code)}catch(err){this.#passwordCapability.reject(err)}return this.#passwordCapability.promise}),messageHandler.on("DataLoaded",data=>{loadingTask.onProgress?.({loaded:data.length,total:data.length}),this.downloadInfoCapability.resolve(data)}),messageHandler.on("StartRenderPage",data=>{if(this.destroyed)return;this.#pageCache.get(data.pageIndex).
+_startRenderPage(data.transparency,data.cacheKey)}),messageHandler.on("commonobj",([id2,type2,exportedData])=>{if(this.destroyed||this.commonObjs.has(id2))return null;switch(type2){case"Font":if("error"in exportedData){const exportedError=exportedData.error;warn(`Error during font loading: ${exportedError}`),this.commonObjs.resolve(id2,exportedError);break}const inspectFont=this._params.pdfBug&&globalThis.FontInspector?.enabled?(font2,url2)=>globalThis.FontInspector.fontAdded(font2,url2):null,font=new FontFaceObject(
+exportedData,inspectFont);this.fontLoader.bind(font).catch(()=>messageHandler.sendWithPromise("FontFallback",{id:id2})).finally(()=>{!font.fontExtraProperties&&font.data&&(font.data=null),this.commonObjs.resolve(id2,font)});break;case"CopyLocalImage":const{imageRef}=exportedData;assert$1(imageRef,"The imageRef must be defined.");for(const pageProxy of this.#pageCache.values())for(const[,data]of pageProxy.objs)if(data?.ref===imageRef)return data.dataLen?(this.commonObjs.resolve(id2,structuredClone(
+data)),data.dataLen):null;break;case"FontPath":case"Image":case"Pattern":this.commonObjs.resolve(id2,exportedData);break;default:throw new Error(`Got unknown common object type ${type2}`)}return null}),messageHandler.on("obj",([id2,pageIndex,type2,imageData])=>{if(this.destroyed)return;const pageProxy=this.#pageCache.get(pageIndex);if(!pageProxy.objs.has(id2)){if(pageProxy._intentStates.size===0){imageData?.bitmap?.close();return}switch(type2){case"Image":case"Pattern":pageProxy.objs.resolve(id2,
+imageData);break;default:throw new Error(`Got unknown object type ${type2}`)}}}),messageHandler.on("DocProgress",data=>{this.destroyed||loadingTask.onProgress?.({loaded:data.loaded,total:data.total})}),messageHandler.on("FetchBinaryData",async data=>{if(this.destroyed)throw new Error("Worker was destroyed.");const factory=this[data.type];if(!factory)throw new Error(`${data.type} not initialized, see the \`useWorkerFetch\` parameter.`);return factory.fetch(data)})}getData(){return this.messageHandler.
+sendWithPromise("GetData",null)}saveDocument(){this.annotationStorage.size<=0&&warn("saveDocument called while `annotationStorage` is empty, please use the getData-method instead.");const{map:map2,transfer}=this.annotationStorage.serializable;return this.messageHandler.sendWithPromise("SaveDocument",{isPureXfa:!!this._htmlForXfa,numPages:this._numPages,annotationStorage:map2,filename:this._fullReader?.filename??null},transfer).finally(()=>{this.annotationStorage.resetModified()})}getPage(pageNumber){
+if(!Number.isInteger(pageNumber)||pageNumber<=0||pageNumber>this._numPages)return Promise.reject(new Error("Invalid page request."));const pageIndex=pageNumber-1,cachedPromise=this.#pagePromises.get(pageIndex);if(cachedPromise)return cachedPromise;const promise=this.messageHandler.sendWithPromise("GetPage",{pageIndex}).then(pageInfo=>{if(this.destroyed)throw new Error("Transport destroyed");pageInfo.refStr&&this.#pageRefCache.set(pageInfo.refStr,pageNumber);const page2=new PDFPageProxy(pageIndex,
+pageInfo,this,this._params.pdfBug);return this.#pageCache.set(pageIndex,page2),page2});return this.#pagePromises.set(pageIndex,promise),promise}getPageIndex(ref2){return isRefProxy(ref2)?this.messageHandler.sendWithPromise("GetPageIndex",{num:ref2.num,gen:ref2.gen}):Promise.reject(new Error("Invalid pageIndex request."))}getAnnotations(pageIndex,intent){return this.messageHandler.sendWithPromise("GetAnnotations",{pageIndex,intent})}getFieldObjects(){return this.#cacheSimpleMethod("GetFieldObject\
+s")}hasJSActions(){return this.#cacheSimpleMethod("HasJSActions")}getCalculationOrderIds(){return this.messageHandler.sendWithPromise("GetCalculationOrderIds",null)}getDestinations(){return this.messageHandler.sendWithPromise("GetDestinations",null)}getDestination(id2){return typeof id2!="string"?Promise.reject(new Error("Invalid destination request.")):this.messageHandler.sendWithPromise("GetDestination",{id:id2})}getPageLabels(){return this.messageHandler.sendWithPromise("GetPageLabels",null)}getPageLayout(){
+return this.messageHandler.sendWithPromise("GetPageLayout",null)}getPageMode(){return this.messageHandler.sendWithPromise("GetPageMode",null)}getViewerPreferences(){return this.messageHandler.sendWithPromise("GetViewerPreferences",null)}getOpenAction(){return this.messageHandler.sendWithPromise("GetOpenAction",null)}getAttachments(){return this.messageHandler.sendWithPromise("GetAttachments",null)}getDocJSActions(){return this.#cacheSimpleMethod("GetDocJSActions")}getPageJSActions(pageIndex){return this.
+messageHandler.sendWithPromise("GetPageJSActions",{pageIndex})}getStructTree(pageIndex){return this.messageHandler.sendWithPromise("GetStructTree",{pageIndex})}getOutline(){return this.messageHandler.sendWithPromise("GetOutline",null)}getOptionalContentConfig(renderingIntent){return this.#cacheSimpleMethod("GetOptionalContentConfig").then(data=>new OptionalContentConfig(data,renderingIntent))}getPermissions(){return this.messageHandler.sendWithPromise("GetPermissions",null)}getMetadata(){const name="\
+GetMetadata",cachedPromise=this.#methodPromises.get(name);if(cachedPromise)return cachedPromise;const promise=this.messageHandler.sendWithPromise(name,null).then(results=>({info:results[0],metadata:results[1]?new Metadata(results[1]):null,contentDispositionFilename:this._fullReader?.filename??null,contentLength:this._fullReader?.contentLength??null}));return this.#methodPromises.set(name,promise),promise}getMarkInfo(){return this.messageHandler.sendWithPromise("GetMarkInfo",null)}async startCleanup(keepLoadedFonts=!1){
+if(!this.destroyed){await this.messageHandler.sendWithPromise("Cleanup",null);for(const page2 of this.#pageCache.values())if(!page2.cleanup())throw new Error(`startCleanup: Page ${page2.pageNumber} is currently rendering.`);this.commonObjs.clear(),keepLoadedFonts||this.fontLoader.clear(),this.#methodPromises.clear(),this.filterFactory.destroy(!0),TextLayer.cleanup()}}cachedPageNumber(ref2){if(!isRefProxy(ref2))return null;const refStr=ref2.gen===0?`${ref2.num}R`:`${ref2.num}R${ref2.gen}`;return this.#pageRefCache.
+get(refStr)??null}}class RenderTask{#internalRenderTask=null;onContinue=null;onError=null;constructor(internalRenderTask){this.#internalRenderTask=internalRenderTask}get promise(){return this.#internalRenderTask.capability.promise}cancel(extraDelay=0){this.#internalRenderTask.cancel(null,extraDelay)}get separateAnnots(){const{separateAnnots}=this.#internalRenderTask.operatorList;if(!separateAnnots)return!1;const{annotationCanvasMap}=this.#internalRenderTask;return separateAnnots.form||separateAnnots.
+canvas&&annotationCanvasMap?.size>0}}class InternalRenderTask{#rAF=null;static#canvasInUse=new WeakSet;constructor({callback,params,objs,commonObjs,annotationCanvasMap,operatorList,pageIndex,canvasFactory,filterFactory,useRequestAnimationFrame=!1,pdfBug=!1,pageColors=null,enableHWA=!1}){this.callback=callback,this.params=params,this.objs=objs,this.commonObjs=commonObjs,this.annotationCanvasMap=annotationCanvasMap,this.operatorListIdx=null,this.operatorList=operatorList,this._pageIndex=pageIndex,
+this.canvasFactory=canvasFactory,this.filterFactory=filterFactory,this._pdfBug=pdfBug,this.pageColors=pageColors,this.running=!1,this.graphicsReadyCallback=null,this.graphicsReady=!1,this._useRequestAnimationFrame=useRequestAnimationFrame===!0&&typeof window<"u",this.cancelled=!1,this.capability=Promise.withResolvers(),this.task=new RenderTask(this),this._cancelBound=this.cancel.bind(this),this._continueBound=this._continue.bind(this),this._scheduleNextBound=this._scheduleNext.bind(this),this._nextBound=
+this._next.bind(this),this._canvas=params.canvas,this._canvasContext=params.canvas?null:params.canvasContext,this._enableHWA=enableHWA}get completed(){return this.capability.promise.catch(function(){})}initializeGraphics({transparency=!1,optionalContentConfig}){if(this.cancelled)return;if(this._canvas){if(InternalRenderTask.#canvasInUse.has(this._canvas))throw new Error("Cannot use the same canvas during multiple render() operations. Use different canvas or ensure previous operations were cancel\
+led or completed.");InternalRenderTask.#canvasInUse.add(this._canvas)}this._pdfBug&&globalThis.StepperManager?.enabled&&(this.stepper=globalThis.StepperManager.create(this._pageIndex),this.stepper.init(this.operatorList),this.stepper.nextBreakPoint=this.stepper.getNextBreakPoint());const{viewport,transform:transform2,background}=this.params,canvasContext=this._canvasContext||this._canvas.getContext("2d",{alpha:!1,willReadFrequently:!this._enableHWA});this.gfx=new CanvasGraphics(canvasContext,this.
+commonObjs,this.objs,this.canvasFactory,this.filterFactory,{optionalContentConfig},this.annotationCanvasMap,this.pageColors),this.gfx.beginDrawing({transform:transform2,viewport,transparency,background}),this.operatorListIdx=0,this.graphicsReady=!0,this.graphicsReadyCallback?.()}cancel(error2=null,extraDelay=0){this.running=!1,this.cancelled=!0,this.gfx?.endDrawing(),this.#rAF&&(window.cancelAnimationFrame(this.#rAF),this.#rAF=null),InternalRenderTask.#canvasInUse.delete(this._canvas),error2||=new RenderingCancelledException(
+`Rendering cancelled, page ${this._pageIndex+1}`,extraDelay),this.callback(error2),this.task.onError?.(error2)}operatorListChanged(){if(!this.graphicsReady){this.graphicsReadyCallback||=this._continueBound;return}this.stepper?.updateOperatorList(this.operatorList),!this.running&&this._continue()}_continue(){this.running=!0,!this.cancelled&&(this.task.onContinue?this.task.onContinue(this._scheduleNextBound):this._scheduleNext())}_scheduleNext(){this._useRequestAnimationFrame?this.#rAF=window.requestAnimationFrame(
+()=>{this.#rAF=null,this._nextBound().catch(this._cancelBound)}):Promise.resolve().then(this._nextBound).catch(this._cancelBound)}async _next(){this.cancelled||(this.operatorListIdx=this.gfx.executeOperatorList(this.operatorList,this.operatorListIdx,this._continueBound,this.stepper),this.operatorListIdx===this.operatorList.argsArray.length&&(this.running=!1,this.operatorList.lastChunk&&(this.gfx.endDrawing(),InternalRenderTask.#canvasInUse.delete(this._canvas),this.callback())))}}const version$1="\
+5.4.54",build="295fb3ec4";class ColorPicker{#button=null;#buttonSwatch=null;#defaultColor;#dropdown=null;#dropdownWasFromKeyboard=!1;#isMainColorPicker=!1;#editor=null;#eventBus;#openDropdownAC=null;#uiManager=null;static#l10nColor=null;static get _keyboardManager(){return shadow(this,"_keyboardManager",new KeyboardManager([[["Escape","mac+Escape"],ColorPicker.prototype._hideDropdownFromKeyboard],[[" ","mac+ "],ColorPicker.prototype._colorSelectFromKeyboard],[["ArrowDown","ArrowRight","mac+Arrow\
+Down","mac+ArrowRight"],ColorPicker.prototype._moveToNext],[["ArrowUp","ArrowLeft","mac+ArrowUp","mac+ArrowLeft"],ColorPicker.prototype._moveToPrevious],[["Home","mac+Home"],ColorPicker.prototype._moveToBeginning],[["End","mac+End"],ColorPicker.prototype._moveToEnd]]))}constructor({editor=null,uiManager=null}){editor?(this.#isMainColorPicker=!1,this.#editor=editor):this.#isMainColorPicker=!0,this.#uiManager=editor?._uiManager||uiManager,this.#eventBus=this.#uiManager._eventBus,this.#defaultColor=
+editor?.color?.toUpperCase()||this.#uiManager?.highlightColors.values().next().value||"#FFFF98",ColorPicker.#l10nColor||=Object.freeze({blue:"pdfjs-editor-colorpicker-blue",green:"pdfjs-editor-colorpicker-green",pink:"pdfjs-editor-colorpicker-pink",red:"pdfjs-editor-colorpicker-red",yellow:"pdfjs-editor-colorpicker-yellow"})}renderButton(){const button=this.#button=document.createElement("button");button.className="colorPicker",button.tabIndex="0",button.setAttribute("data-l10n-id","pdfjs-editor\
+-colorpicker-button"),button.ariaHasPopup="true",this.#editor&&(button.ariaControls=`${this.#editor.id}_colorpicker_dropdown`);const signal=this.#uiManager._signal;button.addEventListener("click",this.#openDropdown.bind(this),{signal}),button.addEventListener("keydown",this.#keyDown.bind(this),{signal});const swatch=this.#buttonSwatch=document.createElement("span");return swatch.className="swatch",swatch.ariaHidden="true",swatch.style.backgroundColor=this.#defaultColor,button.append(swatch),button}renderMainDropdown(){
+const dropdown=this.#dropdown=this.#getDropdownRoot();return dropdown.ariaOrientation="horizontal",dropdown.ariaLabelledBy="highlightColorPickerLabel",dropdown}#getDropdownRoot(){const div=document.createElement("div"),signal=this.#uiManager._signal;div.addEventListener("contextmenu",noContextMenu,{signal}),div.className="dropdown",div.role="listbox",div.ariaMultiSelectable="false",div.ariaOrientation="vertical",div.setAttribute("data-l10n-id","pdfjs-editor-colorpicker-dropdown"),this.#editor&&(div.
+id=`${this.#editor.id}_colorpicker_dropdown`);for(const[name,color]of this.#uiManager.highlightColors){const button=document.createElement("button");button.tabIndex="0",button.role="option",button.setAttribute("data-color",color),button.title=name,button.setAttribute("data-l10n-id",ColorPicker.#l10nColor[name]);const swatch=document.createElement("span");button.append(swatch),swatch.className="swatch",swatch.style.backgroundColor=color,button.ariaSelected=color===this.#defaultColor,button.addEventListener(
+"click",this.#colorSelect.bind(this,color),{signal}),div.append(button)}return div.addEventListener("keydown",this.#keyDown.bind(this),{signal}),div}#colorSelect(color,event2){event2.stopPropagation(),this.#eventBus.dispatch("switchannotationeditorparams",{source:this,type:AnnotationEditorParamsType.HIGHLIGHT_COLOR,value:color}),this.updateColor(color)}_colorSelectFromKeyboard(event2){if(event2.target===this.#button){this.#openDropdown(event2);return}const color=event2.target.getAttribute("data-\
+color");color&&this.#colorSelect(color,event2)}_moveToNext(event2){if(!this.#isDropdownVisible){this.#openDropdown(event2);return}if(event2.target===this.#button){this.#dropdown.firstChild?.focus();return}event2.target.nextSibling?.focus()}_moveToPrevious(event2){if(event2.target===this.#dropdown?.firstChild||event2.target===this.#button){this.#isDropdownVisible&&this._hideDropdownFromKeyboard();return}this.#isDropdownVisible||this.#openDropdown(event2),event2.target.previousSibling?.focus()}_moveToBeginning(event2){
+if(!this.#isDropdownVisible){this.#openDropdown(event2);return}this.#dropdown.firstChild?.focus()}_moveToEnd(event2){if(!this.#isDropdownVisible){this.#openDropdown(event2);return}this.#dropdown.lastChild?.focus()}#keyDown(event2){ColorPicker._keyboardManager.exec(this,event2)}#openDropdown(event2){if(this.#isDropdownVisible){this.hideDropdown();return}if(this.#dropdownWasFromKeyboard=event2.detail===0,this.#openDropdownAC||(this.#openDropdownAC=new AbortController,window.addEventListener("point\
+erdown",this.#pointerDown.bind(this),{signal:this.#uiManager.combinedSignal(this.#openDropdownAC)})),this.#button.ariaExpanded="true",this.#dropdown){this.#dropdown.classList.remove("hidden");return}const root2=this.#dropdown=this.#getDropdownRoot();this.#button.append(root2)}#pointerDown(event2){this.#dropdown?.contains(event2.target)||this.hideDropdown()}hideDropdown(){this.#dropdown?.classList.add("hidden"),this.#button.ariaExpanded="false",this.#openDropdownAC?.abort(),this.#openDropdownAC=null}get#isDropdownVisible(){
+return this.#dropdown&&!this.#dropdown.classList.contains("hidden")}_hideDropdownFromKeyboard(){if(!this.#isMainColorPicker){if(!this.#isDropdownVisible){this.#editor?.unselect();return}this.hideDropdown(),this.#button.focus({preventScroll:!0,focusVisible:this.#dropdownWasFromKeyboard})}}updateColor(color){if(this.#buttonSwatch&&(this.#buttonSwatch.style.backgroundColor=color),!this.#dropdown)return;const i=this.#uiManager.highlightColors.values();for(const child2 of this.#dropdown.children)child2.
+ariaSelected=i.next().value===color.toUpperCase()}destroy(){this.#button?.remove(),this.#button=null,this.#buttonSwatch=null,this.#dropdown?.remove(),this.#dropdown=null}}class BasicColorPicker{#input=null;#editor=null;#uiManager=null;static#l10nColor=null;constructor(editor){this.#editor=editor,this.#uiManager=editor._uiManager,BasicColorPicker.#l10nColor||=Object.freeze({freetext:"pdfjs-editor-color-picker-free-text-input",ink:"pdfjs-editor-color-picker-ink-input"})}renderButton(){if(this.#input)
+return this.#input;const{editorType,colorType,colorValue}=this.#editor,input=this.#input=document.createElement("input");return input.type="color",input.value=colorValue||"#000000",input.className="basicColorPicker",input.tabIndex=0,input.setAttribute("data-l10n-id",BasicColorPicker.#l10nColor[editorType]),input.addEventListener("input",()=>{this.#uiManager.updateParams(colorType,input.value)},{signal:this.#uiManager._signal}),input}update(value){this.#input&&(this.#input.value=value)}destroy(){
+this.#input?.remove(),this.#input=null}hideDropdown(){}}function makeColorComp(n){return Math.floor(Math.max(0,Math.min(1,n))*255).toString(16).padStart(2,"0")}function scaleAndClamp(x){return Math.max(0,Math.min(255,255*x))}class ColorConverters{static CMYK_G([c2,y,m,k]){return["G",1-Math.min(1,.3*c2+.59*m+.11*y+k)]}static G_CMYK([g]){return["CMYK",0,0,0,1-g]}static G_RGB([g]){return["RGB",g,g,g]}static G_rgb([g]){return g=scaleAndClamp(g),[g,g,g]}static G_HTML([g]){const G=makeColorComp(g);return`\
+#${G}${G}${G}`}static RGB_G([r2,g,b]){return["G",.3*r2+.59*g+.11*b]}static RGB_rgb(color){return color.map(scaleAndClamp)}static RGB_HTML(color){return`#${color.map(makeColorComp).join("")}`}static T_HTML(){return"#00000000"}static T_rgb(){return[null]}static CMYK_RGB([c2,y,m,k]){return["RGB",1-Math.min(1,c2+k),1-Math.min(1,m+k),1-Math.min(1,y+k)]}static CMYK_rgb([c2,y,m,k]){return[scaleAndClamp(1-Math.min(1,c2+k)),scaleAndClamp(1-Math.min(1,m+k)),scaleAndClamp(1-Math.min(1,y+k))]}static CMYK_HTML(components2){
+const rgb=this.CMYK_RGB(components2).slice(1);return this.RGB_HTML(rgb)}static RGB_CMYK([r2,g,b]){const c2=1-r2,m=1-g,y=1-b,k=Math.min(c2,m,y);return["CMYK",c2,m,y,k]}}class BaseSVGFactory{create(width,height,skipDimensions=!1){if(width<=0||height<=0)throw new Error("Invalid SVG dimensions");const svg2=this._createSVG("svg:svg");return svg2.setAttribute("version","1.1"),skipDimensions||(svg2.setAttribute("width",`${width}px`),svg2.setAttribute("height",`${height}px`)),svg2.setAttribute("preserve\
+AspectRatio","none"),svg2.setAttribute("viewBox",`0 0 ${width} ${height}`),svg2}createElement(type2){if(typeof type2!="string")throw new Error("Invalid SVG element type");return this._createSVG(type2)}_createSVG(type2){unreachable("Abstract method `_createSVG` called.")}}class DOMSVGFactory extends BaseSVGFactory{_createSVG(type2){return document.createElementNS(SVG_NS,type2)}}class XfaLayer{static setupStorage(html2,id2,element2,storage,intent){const storedData=storage.getValue(id2,{value:null});
+switch(element2.name){case"textarea":if(storedData.value!==null&&(html2.textContent=storedData.value),intent==="print")break;html2.addEventListener("input",event2=>{storage.setValue(id2,{value:event2.target.value})});break;case"input":if(element2.attributes.type==="radio"||element2.attributes.type==="checkbox"){if(storedData.value===element2.attributes.xfaOn?html2.setAttribute("checked",!0):storedData.value===element2.attributes.xfaOff&&html2.removeAttribute("checked"),intent==="print")break;html2.
+addEventListener("change",event2=>{storage.setValue(id2,{value:event2.target.checked?event2.target.getAttribute("xfaOn"):event2.target.getAttribute("xfaOff")})})}else{if(storedData.value!==null&&html2.setAttribute("value",storedData.value),intent==="print")break;html2.addEventListener("input",event2=>{storage.setValue(id2,{value:event2.target.value})})}break;case"select":if(storedData.value!==null){html2.setAttribute("value",storedData.value);for(const option2 of element2.children)option2.attributes.
+value===storedData.value?option2.attributes.selected=!0:option2.attributes.hasOwnProperty("selected")&&delete option2.attributes.selected}html2.addEventListener("input",event2=>{const options=event2.target.options,value=options.selectedIndex===-1?"":options[options.selectedIndex].value;storage.setValue(id2,{value})});break}}static setAttributes({html:html2,element:element2,storage=null,intent,linkService}){const{attributes}=element2,isHTMLAnchorElement=html2 instanceof HTMLAnchorElement;attributes.
+type==="radio"&&(attributes.name=`${attributes.name}-${intent}`);for(const[key2,value]of Object.entries(attributes))if(value!=null)switch(key2){case"class":value.length&&html2.setAttribute(key2,value.join(" "));break;case"dataId":break;case"id":html2.setAttribute("data-element-id",value);break;case"style":Object.assign(html2.style,value);break;case"textContent":html2.textContent=value;break;default:(!isHTMLAnchorElement||key2!=="href"&&key2!=="newWindow")&&html2.setAttribute(key2,value)}isHTMLAnchorElement&&
+linkService.addLinkAttributes(html2,attributes.href,attributes.newWindow),storage&&attributes.dataId&&this.setupStorage(html2,attributes.dataId,element2,storage)}static render(parameters){const storage=parameters.annotationStorage,linkService=parameters.linkService,root2=parameters.xfaHtml,intent=parameters.intent||"display",rootHtml=document.createElement(root2.name);root2.attributes&&this.setAttributes({html:rootHtml,element:root2,intent,linkService});const isNotForRichText=intent!=="richText",
+rootDiv=parameters.div;if(rootDiv.append(rootHtml),parameters.viewport){const transform2=`matrix(${parameters.viewport.transform.join(",")})`;rootDiv.style.transform=transform2}isNotForRichText&&rootDiv.setAttribute("class","xfaLayer xfaFont");const textDivs=[];if(root2.children.length===0){if(root2.value){const node2=document.createTextNode(root2.value);rootHtml.append(node2),isNotForRichText&&XfaText.shouldBuildText(root2.name)&&textDivs.push(node2)}return{textDivs}}const stack=[[root2,-1,rootHtml]];
+for(;stack.length>0;){const[parent,i,html2]=stack.at(-1);if(i+1===parent.children.length){stack.pop();continue}const child2=parent.children[++stack.at(-1)[1]];if(child2===null)continue;const{name}=child2;if(name==="#text"){const node2=document.createTextNode(child2.value);textDivs.push(node2),html2.append(node2);continue}const childHtml=child2?.attributes?.xmlns?document.createElementNS(child2.attributes.xmlns,name):document.createElement(name);if(html2.append(childHtml),child2.attributes&&this.
+setAttributes({html:childHtml,element:child2,storage,intent,linkService}),child2.children?.length>0)stack.push([child2,-1,childHtml]);else if(child2.value){const node2=document.createTextNode(child2.value);isNotForRichText&&XfaText.shouldBuildText(name)&&textDivs.push(node2),childHtml.append(node2)}}for(const el of rootDiv.querySelectorAll(".xfaNonInteractive input, .xfaNonInteractive textarea"))el.setAttribute("readOnly",!0);return{textDivs}}static update(parameters){const transform2=`matrix(${parameters.
+viewport.transform.join(",")})`;parameters.div.style.transform=transform2,parameters.div.hidden=!1}}const annotation_layer_DEFAULT_FONT_SIZE=9,GetElementsByNameSet=new WeakSet,TIMEZONE_OFFSET=new Date().getTimezoneOffset()*60*1e3;class AnnotationElementFactory{static create(parameters){switch(parameters.data.annotationType){case AnnotationType.LINK:return new LinkAnnotationElement(parameters);case AnnotationType.TEXT:return new TextAnnotationElement(parameters);case AnnotationType.WIDGET:switch(parameters.
+data.fieldType){case"Tx":return new TextWidgetAnnotationElement(parameters);case"Btn":return parameters.data.radioButton?new RadioButtonWidgetAnnotationElement(parameters):parameters.data.checkBox?new CheckboxWidgetAnnotationElement(parameters):new PushButtonWidgetAnnotationElement(parameters);case"Ch":return new ChoiceWidgetAnnotationElement(parameters);case"Sig":return new SignatureWidgetAnnotationElement(parameters)}return new WidgetAnnotationElement(parameters);case AnnotationType.POPUP:return new PopupAnnotationElement(
+parameters);case AnnotationType.FREETEXT:return new FreeTextAnnotationElement(parameters);case AnnotationType.LINE:return new LineAnnotationElement(parameters);case AnnotationType.SQUARE:return new SquareAnnotationElement(parameters);case AnnotationType.CIRCLE:return new CircleAnnotationElement(parameters);case AnnotationType.POLYLINE:return new PolylineAnnotationElement(parameters);case AnnotationType.CARET:return new CaretAnnotationElement(parameters);case AnnotationType.INK:return new InkAnnotationElement(
+parameters);case AnnotationType.POLYGON:return new PolygonAnnotationElement(parameters);case AnnotationType.HIGHLIGHT:return new HighlightAnnotationElement(parameters);case AnnotationType.UNDERLINE:return new UnderlineAnnotationElement(parameters);case AnnotationType.SQUIGGLY:return new SquigglyAnnotationElement(parameters);case AnnotationType.STRIKEOUT:return new StrikeOutAnnotationElement(parameters);case AnnotationType.STAMP:return new StampAnnotationElement(parameters);case AnnotationType.FILEATTACHMENT:
+return new FileAttachmentAnnotationElement(parameters);default:return new AnnotationElement(parameters)}}}class AnnotationElement{#updates=null;#hasBorder=!1;#popupElement=null;constructor(parameters,{isRenderable=!1,ignoreBorder=!1,createQuadrilaterals=!1}={}){this.isRenderable=isRenderable,this.data=parameters.data,this.layer=parameters.layer,this.linkService=parameters.linkService,this.downloadManager=parameters.downloadManager,this.imageResourcesPath=parameters.imageResourcesPath,this.renderForms=
+parameters.renderForms,this.svgFactory=parameters.svgFactory,this.annotationStorage=parameters.annotationStorage,this.enableScripting=parameters.enableScripting,this.hasJSActions=parameters.hasJSActions,this._fieldObjects=parameters.fieldObjects,this.parent=parameters.parent,isRenderable&&(this.container=this._createContainer(ignoreBorder)),createQuadrilaterals&&this._createQuadrilaterals()}static _hasPopupData({contentsObj,richText}){return!!(contentsObj?.str||richText?.str)}get _isEditable(){return this.
+data.isEditable}get hasPopupData(){return AnnotationElement._hasPopupData(this.data)}updateEdited(params){if(!this.container)return;params.rect&&(this.#updates||={rect:this.data.rect.slice(0)});const{rect,popup:newPopup}=params;rect&&this.#setRectEdited(rect);let popup=this.#popupElement?.popup||this.popup;!popup&&newPopup?.text&&(this._createPopup(newPopup),popup=this.#popupElement.popup),popup&&(popup.updateEdited(params),newPopup?.deleted&&(popup.remove(),this.#popupElement=null,this.popup=null))}resetEdited(){
+this.#updates&&(this.#setRectEdited(this.#updates.rect),this.#popupElement?.popup.resetEdited(),this.#updates=null)}#setRectEdited(rect){const{container:{style:style2},data:{rect:currentRect,rotation},parent:{viewport:{rawDims:{pageWidth,pageHeight,pageX,pageY}}}}=this;currentRect?.splice(0,4,...rect),style2.left=`${100*(rect[0]-pageX)/pageWidth}%`,style2.top=`${100*(pageHeight-rect[3]+pageY)/pageHeight}%`,rotation===0?(style2.width=`${100*(rect[2]-rect[0])/pageWidth}%`,style2.height=`${100*(rect[3]-
+rect[1])/pageHeight}%`):this.setRotation(rotation)}_createContainer(ignoreBorder){const{data,parent:{page:page2,viewport}}=this,container2=document.createElement("section");container2.setAttribute("data-annotation-id",data.id),!(this instanceof WidgetAnnotationElement)&&!(this instanceof LinkAnnotationElement)&&(container2.tabIndex=0);const{style:style2}=container2;if(style2.zIndex=this.parent.zIndex++,data.alternativeText&&(container2.title=data.alternativeText),data.noRotate&&container2.classList.
+add("norotate"),!data.rect||this instanceof PopupAnnotationElement){const{rotation:rotation2}=data;return!data.hasOwnCanvas&&rotation2!==0&&this.setRotation(rotation2,container2),container2}const{width,height}=this;if(!ignoreBorder&&data.borderStyle.width>0){style2.borderWidth=`${data.borderStyle.width}px`;const horizontalRadius=data.borderStyle.horizontalCornerRadius,verticalRadius=data.borderStyle.verticalCornerRadius;if(horizontalRadius>0||verticalRadius>0){const radius=`calc(${horizontalRadius}\
+px * var(--total-scale-factor)) / calc(${verticalRadius}px * var(--total-scale-factor))`;style2.borderRadius=radius}else if(this instanceof RadioButtonWidgetAnnotationElement){const radius=`calc(${width}px * var(--total-scale-factor)) / calc(${height}px * var(--total-scale-factor))`;style2.borderRadius=radius}switch(data.borderStyle.style){case AnnotationBorderStyleType.SOLID:style2.borderStyle="solid";break;case AnnotationBorderStyleType.DASHED:style2.borderStyle="dashed";break;case AnnotationBorderStyleType.
+BEVELED:warn("Unimplemented border style: beveled");break;case AnnotationBorderStyleType.INSET:warn("Unimplemented border style: inset");break;case AnnotationBorderStyleType.UNDERLINE:style2.borderBottomStyle="solid";break}const borderColor=data.borderColor||null;borderColor?(this.#hasBorder=!0,style2.borderColor=Util.makeHexColor(borderColor[0]|0,borderColor[1]|0,borderColor[2]|0)):style2.borderWidth=0}const rect=Util.normalizeRect([data.rect[0],page2.view[3]-data.rect[1]+page2.view[1],data.rect[2],
+page2.view[3]-data.rect[3]+page2.view[1]]),{pageWidth,pageHeight,pageX,pageY}=viewport.rawDims;style2.left=`${100*(rect[0]-pageX)/pageWidth}%`,style2.top=`${100*(rect[1]-pageY)/pageHeight}%`;const{rotation}=data;return data.hasOwnCanvas||rotation===0?(style2.width=`${100*width/pageWidth}%`,style2.height=`${100*height/pageHeight}%`):this.setRotation(rotation,container2),container2}setRotation(angle,container2=this.container){if(!this.data.rect)return;const{pageWidth,pageHeight}=this.parent.viewport.
+rawDims;let{width,height}=this;angle%180!==0&&([width,height]=[height,width]),container2.style.width=`${100*width/pageWidth}%`,container2.style.height=`${100*height/pageHeight}%`,container2.setAttribute("data-main-rotation",(360-angle)%360)}get _commonActions(){const setColor=(jsName,styleName,event2)=>{const color=event2.detail[jsName],colorType=color[0],colorArray=color.slice(1);event2.target.style[styleName]=ColorConverters[`${colorType}_HTML`](colorArray),this.annotationStorage.setValue(this.
+data.id,{[styleName]:ColorConverters[`${colorType}_rgb`](colorArray)})};return shadow(this,"_commonActions",{display:event2=>{const{display}=event2.detail,hidden2=display%2===1;this.container.style.visibility=hidden2?"hidden":"visible",this.annotationStorage.setValue(this.data.id,{noView:hidden2,noPrint:display===1||display===2})},print:event2=>{this.annotationStorage.setValue(this.data.id,{noPrint:!event2.detail.print})},hidden:event2=>{const{hidden:hidden2}=event2.detail;this.container.style.visibility=
+hidden2?"hidden":"visible",this.annotationStorage.setValue(this.data.id,{noPrint:hidden2,noView:hidden2})},focus:event2=>{setTimeout(()=>event2.target.focus({preventScroll:!1}),0)},userName:event2=>{event2.target.title=event2.detail.userName},readonly:event2=>{event2.target.disabled=event2.detail.readonly},required:event2=>{this._setRequired(event2.target,event2.detail.required)},bgColor:event2=>{setColor("bgColor","backgroundColor",event2)},fillColor:event2=>{setColor("fillColor","backgroundCol\
+or",event2)},fgColor:event2=>{setColor("fgColor","color",event2)},textColor:event2=>{setColor("textColor","color",event2)},borderColor:event2=>{setColor("borderColor","borderColor",event2)},strokeColor:event2=>{setColor("strokeColor","borderColor",event2)},rotation:event2=>{const angle=event2.detail.rotation;this.setRotation(angle),this.annotationStorage.setValue(this.data.id,{rotation:angle})}})}_dispatchEventFromSandbox(actions,jsEvent){const commonActions=this._commonActions;for(const name of Object.
+keys(jsEvent.detail))(actions[name]||commonActions[name])?.(jsEvent)}_setDefaultPropertiesFromJS(element2){if(!this.enableScripting)return;const storedData=this.annotationStorage.getRawValue(this.data.id);if(!storedData)return;const commonActions=this._commonActions;for(const[actionName,detail]of Object.entries(storedData)){const action2=commonActions[actionName];if(action2){const eventProxy={detail:{[actionName]:detail},target:element2};action2(eventProxy),delete storedData[actionName]}}}_createQuadrilaterals(){
+if(!this.container)return;const{quadPoints}=this.data;if(!quadPoints)return;const[rectBlX,rectBlY,rectTrX,rectTrY]=this.data.rect.map(x=>Math.fround(x));if(quadPoints.length===8){const[trX,trY,blX,blY]=quadPoints.subarray(2,6);if(rectTrX===trX&&rectTrY===trY&&rectBlX===blX&&rectBlY===blY)return}const{style:style2}=this.container;let svgBuffer;if(this.#hasBorder){const{borderColor,borderWidth}=style2;style2.borderWidth=0,svgBuffer=["url('data:image/svg+xml;utf8,",'<svg xmlns="http://www.w3.org/20\
+00/svg"',' preserveAspectRatio="none" viewBox="0 0 1 1">',`<g fill="transparent" stroke="${borderColor}" stroke-width="${borderWidth}">`],this.container.classList.add("hasBorder")}const width=rectTrX-rectBlX,height=rectTrY-rectBlY,{svgFactory}=this,svg2=svgFactory.createElement("svg");svg2.classList.add("quadrilateralsContainer"),svg2.setAttribute("width",0),svg2.setAttribute("height",0),svg2.role="none";const defs=svgFactory.createElement("defs");svg2.append(defs);const clipPath=svgFactory.createElement(
+"clipPath"),id2=`clippath_${this.data.id}`;clipPath.setAttribute("id",id2),clipPath.setAttribute("clipPathUnits","objectBoundingBox"),defs.append(clipPath);for(let i=2,ii=quadPoints.length;i<ii;i+=8){const trX=quadPoints[i],trY=quadPoints[i+1],blX=quadPoints[i+2],blY=quadPoints[i+3],rect=svgFactory.createElement("rect"),x=(blX-rectBlX)/width,y=(rectTrY-trY)/height,rectWidth=(trX-blX)/width,rectHeight=(trY-blY)/height;rect.setAttribute("x",x),rect.setAttribute("y",y),rect.setAttribute("width",rectWidth),
+rect.setAttribute("height",rectHeight),clipPath.append(rect),svgBuffer?.push(`<rect vector-effect="non-scaling-stroke" x="${x}" y="${y}" width="${rectWidth}" height="${rectHeight}"/>`)}this.#hasBorder&&(svgBuffer.push("</g></svg>')"),style2.backgroundImage=svgBuffer.join("")),this.container.append(svg2),this.container.style.clipPath=`url(#${id2})`}_createPopup(popupData=null){const{data}=this;let contentsObj,modificationDate;popupData?(contentsObj={str:popupData.text},modificationDate=popupData.
+date):(contentsObj=data.contentsObj,modificationDate=data.modificationDate);const popup=this.#popupElement=new PopupAnnotationElement({data:{color:data.color,titleObj:data.titleObj,modificationDate,contentsObj,richText:data.richText,parentRect:data.rect,borderStyle:0,id:`popup_${data.id}`,rotation:data.rotation,noRotate:!0},linkService:this.linkService,parent:this.parent,elements:[this]});this.parent.div.append(popup.render())}get hasPopupElement(){return!!(this.#popupElement||this.popup||this.data.
+popupRef)}render(){unreachable("Abstract method `AnnotationElement.render` called")}_getElementsByName(name,skipId=null){const fields=[];if(this._fieldObjects){const fieldObj=this._fieldObjects[name];if(fieldObj)for(const{page:page2,id:id2,exportValues}of fieldObj){if(page2===-1||id2===skipId)continue;const exportValue=typeof exportValues=="string"?exportValues:null,domElement=document.querySelector(`[data-element-id="${id2}"]`);if(domElement&&!GetElementsByNameSet.has(domElement)){warn(`_getEle\
+mentsByName - element not allowed: ${id2}`);continue}fields.push({id:id2,exportValue,domElement})}return fields}for(const domElement of document.getElementsByName(name)){const{exportValue}=domElement,id2=domElement.getAttribute("data-element-id");id2!==skipId&&GetElementsByNameSet.has(domElement)&&fields.push({id:id2,exportValue,domElement})}return fields}show(){this.container&&(this.container.hidden=!1),this.popup?.maybeShow()}hide(){this.container&&(this.container.hidden=!0),this.popup?.forceHide()}getElementsToTriggerPopup(){
+return this.container}addHighlightArea(){const triggers=this.getElementsToTriggerPopup();if(Array.isArray(triggers))for(const element2 of triggers)element2.classList.add("highlightArea");else triggers.classList.add("highlightArea")}_editOnDoubleClick(){if(!this._isEditable)return;const{annotationEditorType:mode,data:{id:editId}}=this;this.container.addEventListener("dblclick",()=>{this.linkService.eventBus?.dispatch("switchannotationeditormode",{source:this,mode,editId,mustEnterInEditMode:!0})})}get width(){
+return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class LinkAnnotationElement extends AnnotationElement{constructor(parameters,options=null){super(parameters,{isRenderable:!0,ignoreBorder:!!options?.ignoreBorder,createQuadrilaterals:!0}),this.isTooltipOnly=parameters.data.isTooltipOnly}render(){const{data,linkService}=this,link2=document.createElement("a");link2.setAttribute("data-element-id",data.id);let isBound=!1;return data.url?(linkService.addLinkAttributes(
+link2,data.url,data.newWindow),isBound=!0):data.action?(this._bindNamedAction(link2,data.action,data.overlaidText),isBound=!0):data.attachment?(this.#bindAttachment(link2,data.attachment,data.overlaidText,data.attachmentDest),isBound=!0):data.setOCGState?(this.#bindSetOCGState(link2,data.setOCGState,data.overlaidText),isBound=!0):data.dest?(this._bindLink(link2,data.dest,data.overlaidText),isBound=!0):(data.actions&&(data.actions.Action||data.actions["Mouse Up"]||data.actions["Mouse Down"])&&this.
+enableScripting&&this.hasJSActions&&(this._bindJSAction(link2,data),isBound=!0),data.resetForm?(this._bindResetFormAction(link2,data.resetForm),isBound=!0):this.isTooltipOnly&&!isBound&&(this._bindLink(link2,""),isBound=!0)),this.container.classList.add("linkAnnotation"),isBound&&this.container.append(link2),this.container}#setInternalLink(){this.container.setAttribute("data-internal-link","")}_bindLink(link2,destination,overlaidText=""){link2.href=this.linkService.getDestinationHash(destination),
+link2.onclick=()=>(destination&&this.linkService.goToDestination(destination),!1),(destination||destination==="")&&this.#setInternalLink(),overlaidText&&(link2.title=overlaidText)}_bindNamedAction(link2,action2,overlaidText=""){link2.href=this.linkService.getAnchorUrl(""),link2.onclick=()=>(this.linkService.executeNamedAction(action2),!1),overlaidText&&(link2.title=overlaidText),this.#setInternalLink()}#bindAttachment(link2,attachment,overlaidText="",dest=null){link2.href=this.linkService.getAnchorUrl(
+""),attachment.description?link2.title=attachment.description:overlaidText&&(link2.title=overlaidText),link2.onclick=()=>(this.downloadManager?.openOrDownloadData(attachment.content,attachment.filename,dest),!1),this.#setInternalLink()}#bindSetOCGState(link2,action2,overlaidText=""){link2.href=this.linkService.getAnchorUrl(""),link2.onclick=()=>(this.linkService.executeSetOCGState(action2),!1),overlaidText&&(link2.title=overlaidText),this.#setInternalLink()}_bindJSAction(link2,data){link2.href=this.
+linkService.getAnchorUrl("");const map2=new Map([["Action","onclick"],["Mouse Up","onmouseup"],["Mouse Down","onmousedown"]]);for(const name of Object.keys(data.actions)){const jsName=map2.get(name);jsName&&(link2[jsName]=()=>(this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:data.id,name}}),!1))}data.overlaidText&&(link2.title=data.overlaidText),link2.onclick||(link2.onclick=()=>!1),this.#setInternalLink()}_bindResetFormAction(link2,resetForm){const otherClickAction=link2.
+onclick;if(otherClickAction||(link2.href=this.linkService.getAnchorUrl("")),this.#setInternalLink(),!this._fieldObjects){warn('_bindResetFormAction - "resetForm" action not supported, ensure that the `fieldObjects` parameter is provided.'),otherClickAction||(link2.onclick=()=>!1);return}link2.onclick=()=>{otherClickAction?.();const{fields:resetFormFields,refs:resetFormRefs,include}=resetForm,allFields=[];if(resetFormFields.length!==0||resetFormRefs.length!==0){const fieldIds=new Set(resetFormRefs);
+for(const fieldName of resetFormFields){const fields=this._fieldObjects[fieldName]||[];for(const{id:id2}of fields)fieldIds.add(id2)}for(const fields of Object.values(this._fieldObjects))for(const field of fields)fieldIds.has(field.id)===include&&allFields.push(field)}else for(const fields of Object.values(this._fieldObjects))allFields.push(...fields);const storage=this.annotationStorage,allIds=[];for(const field of allFields){const{id:id2}=field;switch(allIds.push(id2),field.type){case"text":{const value=field.
+defaultValue||"";storage.setValue(id2,{value});break}case"checkbox":case"radiobutton":{const value=field.defaultValue===field.exportValues;storage.setValue(id2,{value});break}case"combobox":case"listbox":{const value=field.defaultValue||"";storage.setValue(id2,{value});break}default:continue}const domElement=document.querySelector(`[data-element-id="${id2}"]`);if(domElement){if(!GetElementsByNameSet.has(domElement)){warn(`_bindResetFormAction - element not allowed: ${id2}`);continue}}else continue;
+domElement.dispatchEvent(new Event("resetform"))}return this.enableScripting&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:"app",ids:allIds,name:"ResetForm"}}),!1}}}class TextAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0})}render(){this.container.classList.add("textAnnotation");const image2=document.createElement("img");return image2.src=this.imageResourcesPath+"annotation-"+this.data.name.toLowerCase()+
+".svg",image2.setAttribute("data-l10n-id","pdfjs-text-annotation-type"),image2.setAttribute("data-l10n-args",JSON.stringify({type:this.data.name})),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this.container.append(image2),this.container}}class WidgetAnnotationElement extends AnnotationElement{render(){return this.container}showElementAndHideCanvas(element2){this.data.hasOwnCanvas&&(element2.previousSibling?.nodeName==="CANVAS"&&(element2.previousSibling.hidden=!0),element2.hidden=
+!1)}_getKeyModifier(event2){return util_FeatureTest.platform.isMac?event2.metaKey:event2.ctrlKey}_setEventListener(element2,elementData,baseName,eventName,valueGetter){baseName.includes("mouse")?element2.addEventListener(baseName,event2=>{this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:this.data.id,name:eventName,value:valueGetter(event2),shift:event2.shiftKey,modifier:this._getKeyModifier(event2)}})}):element2.addEventListener(baseName,event2=>{if(baseName===
+"blur"){if(!elementData.focused||!event2.relatedTarget)return;elementData.focused=!1}else if(baseName==="focus"){if(elementData.focused)return;elementData.focused=!0}valueGetter&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:this.data.id,name:eventName,value:valueGetter(event2)}})})}_setEventListeners(element2,elementData,names2,getter){for(const[baseName,eventName]of names2)(eventName==="Action"||this.data.actions?.[eventName])&&((eventName==="Focus"||eventName===
+"Blur")&&(elementData||={focused:!1}),this._setEventListener(element2,elementData,baseName,eventName,getter),eventName==="Focus"&&!this.data.actions?.Blur?this._setEventListener(element2,elementData,"blur","Blur",null):eventName==="Blur"&&!this.data.actions?.Focus&&this._setEventListener(element2,elementData,"focus","Focus",null))}_setBackgroundColor(element2){const color=this.data.backgroundColor||null;element2.style.backgroundColor=color===null?"transparent":Util.makeHexColor(color[0],color[1],
+color[2])}_setTextStyle(element2){const TEXT_ALIGNMENT=["left","center","right"],{fontColor}=this.data.defaultAppearanceData,fontSize=this.data.defaultAppearanceData.fontSize||annotation_layer_DEFAULT_FONT_SIZE,style2=element2.style;let computedFontSize;const BORDER_SIZE=2,roundToOneDecimal=x=>Math.round(10*x)/10;if(this.data.multiLine){const height=Math.abs(this.data.rect[3]-this.data.rect[1]-BORDER_SIZE),numberOfLines=Math.round(height/(LINE_FACTOR*fontSize))||1,lineHeight=height/numberOfLines;
+computedFontSize=Math.min(fontSize,roundToOneDecimal(lineHeight/LINE_FACTOR))}else{const height=Math.abs(this.data.rect[3]-this.data.rect[1]-BORDER_SIZE);computedFontSize=Math.min(fontSize,roundToOneDecimal(height/LINE_FACTOR))}style2.fontSize=`calc(${computedFontSize}px * var(--total-scale-factor))`,style2.color=Util.makeHexColor(fontColor[0],fontColor[1],fontColor[2]),this.data.textAlignment!==null&&(style2.textAlign=TEXT_ALIGNMENT[this.data.textAlignment])}_setRequired(element2,isRequired){isRequired?
+element2.setAttribute("required",!0):element2.removeAttribute("required"),element2.setAttribute("aria-required",isRequired)}}class TextWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){const isRenderable=parameters.renderForms||parameters.data.hasOwnCanvas||!parameters.data.hasAppearance&&!!parameters.data.fieldValue;super(parameters,{isRenderable})}setPropertyOnSiblings(base2,key2,value,keyInStorage){const storage=this.annotationStorage;for(const element2 of this._getElementsByName(
+base2.name,base2.id))element2.domElement&&(element2.domElement[key2]=value),storage.setValue(element2.id,{[keyInStorage]:value})}render(){const storage=this.annotationStorage,id2=this.data.id;this.container.classList.add("textWidgetAnnotation");let element2=null;if(this.renderForms){const storedData=storage.getValue(id2,{value:this.data.fieldValue});let textContent=storedData.value||"";const maxLen=storage.getValue(id2,{charLimit:this.data.maxLen}).charLimit;maxLen&&textContent.length>maxLen&&(textContent=
+textContent.slice(0,maxLen));let fieldFormattedValues=storedData.formattedValue||this.data.textContent?.join(`
+`)||null;fieldFormattedValues&&this.data.comb&&(fieldFormattedValues=fieldFormattedValues.replaceAll(/\s+/g,""));const elementData={userValue:textContent,formattedValue:fieldFormattedValues,lastCommittedValue:null,commitKey:1,focused:!1};this.data.multiLine?(element2=document.createElement("textarea"),element2.textContent=fieldFormattedValues??textContent,this.data.doNotScroll&&(element2.style.overflowY="hidden")):(element2=document.createElement("input"),element2.type=this.data.password?"passwo\
+rd":"text",element2.setAttribute("value",fieldFormattedValues??textContent),this.data.doNotScroll&&(element2.style.overflowX="hidden")),this.data.hasOwnCanvas&&(element2.hidden=!0),GetElementsByNameSet.add(element2),element2.setAttribute("data-element-id",id2),element2.disabled=this.data.readOnly,element2.name=this.data.fieldName,element2.tabIndex=0;const{datetimeFormat,datetimeType,timeStep}=this.data,hasDateOrTime=!!datetimeType&&this.enableScripting;datetimeFormat&&(element2.title=datetimeFormat),
+this._setRequired(element2,this.data.required),maxLen&&(element2.maxLength=maxLen),element2.addEventListener("input",event2=>{storage.setValue(id2,{value:event2.target.value}),this.setPropertyOnSiblings(element2,"value",event2.target.value,"value"),elementData.formattedValue=null}),element2.addEventListener("resetform",event2=>{const defaultValue=this.data.defaultFieldValue??"";element2.value=elementData.userValue=defaultValue,elementData.formattedValue=null});let blurListener=event2=>{const{formattedValue}=elementData;
+formattedValue!=null&&(event2.target.value=formattedValue),event2.target.scrollLeft=0};if(this.enableScripting&&this.hasJSActions){element2.addEventListener("focus",event2=>{if(elementData.focused)return;const{target:target2}=event2;if(hasDateOrTime&&(target2.type=datetimeType,timeStep&&(target2.step=timeStep)),elementData.userValue){const value=elementData.userValue;if(hasDateOrTime)if(datetimeType==="time"){const date2=new Date(value),parts=[date2.getHours(),date2.getMinutes(),date2.getSeconds()];
+target2.value=parts.map(v=>v.toString().padStart(2,"0")).join(":")}else target2.value=new Date(value-TIMEZONE_OFFSET).toISOString().split(datetimeType==="date"?"T":".",1)[0];else target2.value=value}elementData.lastCommittedValue=target2.value,elementData.commitKey=1,this.data.actions?.Focus||(elementData.focused=!0)}),element2.addEventListener("updatefromsandbox",jsEvent=>{this.showElementAndHideCanvas(jsEvent.target);const actions={value(event2){elementData.userValue=event2.detail.value??"",hasDateOrTime||
+storage.setValue(id2,{value:elementData.userValue.toString()}),event2.target.value=elementData.userValue},formattedValue(event2){const{formattedValue}=event2.detail;elementData.formattedValue=formattedValue,formattedValue!=null&&event2.target!==document.activeElement&&(event2.target.value=formattedValue);const data={formattedValue};hasDateOrTime&&(data.value=formattedValue),storage.setValue(id2,data)},selRange(event2){event2.target.setSelectionRange(...event2.detail.selRange)},charLimit:event2=>{
+const{charLimit}=event2.detail,{target:target2}=event2;if(charLimit===0){target2.removeAttribute("maxLength");return}target2.setAttribute("maxLength",charLimit);let value=elementData.userValue;!value||value.length<=charLimit||(value=value.slice(0,charLimit),target2.value=elementData.userValue=value,storage.setValue(id2,{value}),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,willCommit:!0,commitKey:1,selStart:target2.selectionStart,
+selEnd:target2.selectionEnd}}))}};this._dispatchEventFromSandbox(actions,jsEvent)}),element2.addEventListener("keydown",event2=>{elementData.commitKey=1;let commitKey=-1;if(event2.key==="Escape"?commitKey=0:event2.key==="Enter"&&!this.data.multiLine?commitKey=2:event2.key==="Tab"&&(elementData.commitKey=3),commitKey===-1)return;const{value}=event2.target;elementData.lastCommittedValue!==value&&(elementData.lastCommittedValue=value,elementData.userValue=value,this.linkService.eventBus?.dispatch("\
+dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,willCommit:!0,commitKey,selStart:event2.target.selectionStart,selEnd:event2.target.selectionEnd}}))});const _blurListener=blurListener;blurListener=null,element2.addEventListener("blur",event2=>{if(!elementData.focused||!event2.relatedTarget)return;this.data.actions?.Blur||(elementData.focused=!1);const{target:target2}=event2;let{value}=target2;if(hasDateOrTime){if(value&&datetimeType==="time"){const parts=value.split(":").
+map(v=>parseInt(v,10));value=new Date(2e3,0,1,parts[0],parts[1],parts[2]||0).valueOf(),target2.step=""}else value=new Date(value).valueOf();target2.type="text"}elementData.userValue=value,elementData.lastCommittedValue!==value&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,willCommit:!0,commitKey:elementData.commitKey,selStart:event2.target.selectionStart,selEnd:event2.target.selectionEnd}}),_blurListener(event2)}),this.data.actions?.
+Keystroke&&element2.addEventListener("beforeinput",event2=>{elementData.lastCommittedValue=null;const{data,target:target2}=event2,{value,selectionStart,selectionEnd}=target2;let selStart=selectionStart,selEnd=selectionEnd;switch(event2.inputType){case"deleteWordBackward":{const match=value.substring(0,selectionStart).match(/\w*[^\w]*$/);match&&(selStart-=match[0].length);break}case"deleteWordForward":{const match=value.substring(selectionStart).match(/^[^\w]*\w*/);match&&(selEnd+=match[0].length);
+break}case"deleteContentBackward":selectionStart===selectionEnd&&(selStart-=1);break;case"deleteContentForward":selectionStart===selectionEnd&&(selEnd+=1);break}event2.preventDefault(),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,change:data||"",willCommit:!1,selStart,selEnd}})}),this._setEventListeners(element2,elementData,[["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","M\
+ouse Exit"],["mouseup","Mouse Up"]],event2=>event2.target.value)}if(blurListener&&element2.addEventListener("blur",blurListener),this.data.comb){const combWidth=(this.data.rect[2]-this.data.rect[0])/maxLen;element2.classList.add("comb"),element2.style.letterSpacing=`calc(${combWidth}px * var(--total-scale-factor) - 1ch)`}}else element2=document.createElement("div"),element2.textContent=this.data.fieldValue,element2.style.verticalAlign="middle",element2.style.display="table-cell",this.data.hasOwnCanvas&&
+(element2.hidden=!0);return this._setTextStyle(element2),this._setBackgroundColor(element2),this._setDefaultPropertiesFromJS(element2),this.container.append(element2),this.container}}class SignatureWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){super(parameters,{isRenderable:!!parameters.data.hasOwnCanvas})}}class CheckboxWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){super(parameters,{isRenderable:parameters.renderForms})}render(){
+const storage=this.annotationStorage,data=this.data,id2=data.id;let value=storage.getValue(id2,{value:data.exportValue===data.fieldValue}).value;typeof value=="string"&&(value=value!=="Off",storage.setValue(id2,{value})),this.container.classList.add("buttonWidgetAnnotation","checkBox");const element2=document.createElement("input");return GetElementsByNameSet.add(element2),element2.setAttribute("data-element-id",id2),element2.disabled=data.readOnly,this._setRequired(element2,this.data.required),
+element2.type="checkbox",element2.name=data.fieldName,value&&element2.setAttribute("checked",!0),element2.setAttribute("exportValue",data.exportValue),element2.tabIndex=0,element2.addEventListener("change",event2=>{const{name,checked}=event2.target;for(const checkbox of this._getElementsByName(name,id2)){const curChecked=checked&&checkbox.exportValue===data.exportValue;checkbox.domElement&&(checkbox.domElement.checked=curChecked),storage.setValue(checkbox.id,{value:curChecked})}storage.setValue(
+id2,{value:checked})}),element2.addEventListener("resetform",event2=>{const defaultValue=data.defaultFieldValue||"Off";event2.target.checked=defaultValue===data.exportValue}),this.enableScripting&&this.hasJSActions&&(element2.addEventListener("updatefromsandbox",jsEvent=>{const actions={value(event2){event2.target.checked=event2.detail.value!=="Off",storage.setValue(id2,{value:event2.target.checked})}};this._dispatchEventFromSandbox(actions,jsEvent)}),this._setEventListeners(element2,null,[["cha\
+nge","Validate"],["change","Action"],["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],event2=>event2.target.checked)),this._setBackgroundColor(element2),this._setDefaultPropertiesFromJS(element2),this.container.append(element2),this.container}}class RadioButtonWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){super(parameters,{isRenderable:parameters.renderForms})}render(){this.
+container.classList.add("buttonWidgetAnnotation","radioButton");const storage=this.annotationStorage,data=this.data,id2=data.id;let value=storage.getValue(id2,{value:data.fieldValue===data.buttonValue}).value;if(typeof value=="string"&&(value=value!==data.buttonValue,storage.setValue(id2,{value})),value)for(const radio of this._getElementsByName(data.fieldName,id2))storage.setValue(radio.id,{value:!1});const element2=document.createElement("input");if(GetElementsByNameSet.add(element2),element2.
+setAttribute("data-element-id",id2),element2.disabled=data.readOnly,this._setRequired(element2,this.data.required),element2.type="radio",element2.name=data.fieldName,value&&element2.setAttribute("checked",!0),element2.tabIndex=0,element2.addEventListener("change",event2=>{const{name,checked}=event2.target;for(const radio of this._getElementsByName(name,id2))storage.setValue(radio.id,{value:!1});storage.setValue(id2,{value:checked})}),element2.addEventListener("resetform",event2=>{const defaultValue=data.
+defaultFieldValue;event2.target.checked=defaultValue!=null&&defaultValue===data.buttonValue}),this.enableScripting&&this.hasJSActions){const pdfButtonValue=data.buttonValue;element2.addEventListener("updatefromsandbox",jsEvent=>{const actions={value:event2=>{const checked=pdfButtonValue===event2.detail.value;for(const radio of this._getElementsByName(event2.target.name)){const curChecked=checked&&radio.id===id2;radio.domElement&&(radio.domElement.checked=curChecked),storage.setValue(radio.id,{value:curChecked})}}};
+this._dispatchEventFromSandbox(actions,jsEvent)}),this._setEventListeners(element2,null,[["change","Validate"],["change","Action"],["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],event2=>event2.target.checked)}return this._setBackgroundColor(element2),this._setDefaultPropertiesFromJS(element2),this.container.append(element2),this.container}}class PushButtonWidgetAnnotationElement extends LinkAnnotationElement{constructor(parameters){
+super(parameters,{ignoreBorder:parameters.data.hasAppearance})}render(){const container2=super.render();container2.classList.add("buttonWidgetAnnotation","pushButton");const linkElement=container2.lastChild;return this.enableScripting&&this.hasJSActions&&linkElement&&(this._setDefaultPropertiesFromJS(linkElement),linkElement.addEventListener("updatefromsandbox",jsEvent=>{this._dispatchEventFromSandbox({},jsEvent)})),container2}}class ChoiceWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){
+super(parameters,{isRenderable:parameters.renderForms})}render(){this.container.classList.add("choiceWidgetAnnotation");const storage=this.annotationStorage,id2=this.data.id,storedData=storage.getValue(id2,{value:this.data.fieldValue}),selectElement=document.createElement("select");GetElementsByNameSet.add(selectElement),selectElement.setAttribute("data-element-id",id2),selectElement.disabled=this.data.readOnly,this._setRequired(selectElement,this.data.required),selectElement.name=this.data.fieldName,
+selectElement.tabIndex=0;let addAnEmptyEntry=this.data.combo&&this.data.options.length>0;this.data.combo||(selectElement.size=this.data.options.length,this.data.multiSelect&&(selectElement.multiple=!0)),selectElement.addEventListener("resetform",event2=>{const defaultValue=this.data.defaultFieldValue;for(const option2 of selectElement.options)option2.selected=option2.value===defaultValue});for(const option2 of this.data.options){const optionElement=document.createElement("option");optionElement.
+textContent=option2.displayValue,optionElement.value=option2.exportValue,storedData.value.includes(option2.exportValue)&&(optionElement.setAttribute("selected",!0),addAnEmptyEntry=!1),selectElement.append(optionElement)}let removeEmptyEntry=null;if(addAnEmptyEntry){const noneOptionElement=document.createElement("option");noneOptionElement.value=" ",noneOptionElement.setAttribute("hidden",!0),noneOptionElement.setAttribute("selected",!0),selectElement.prepend(noneOptionElement),removeEmptyEntry=()=>{
+noneOptionElement.remove(),selectElement.removeEventListener("input",removeEmptyEntry),removeEmptyEntry=null},selectElement.addEventListener("input",removeEmptyEntry)}const getValue=isExport=>{const name=isExport?"value":"textContent",{options,multiple}=selectElement;return multiple?Array.prototype.filter.call(options,option2=>option2.selected).map(option2=>option2[name]):options.selectedIndex===-1?null:options[options.selectedIndex][name]};let selectedValues=getValue(!1);const getItems=event2=>{
+const options=event2.target.options;return Array.prototype.map.call(options,option2=>({displayValue:option2.textContent,exportValue:option2.value}))};return this.enableScripting&&this.hasJSActions?(selectElement.addEventListener("updatefromsandbox",jsEvent=>{const actions={value(event2){removeEmptyEntry?.();const value=event2.detail.value,values=new Set(Array.isArray(value)?value:[value]);for(const option2 of selectElement.options)option2.selected=values.has(option2.value);storage.setValue(id2,{
+value:getValue(!0)}),selectedValues=getValue(!1)},multipleSelection(event2){selectElement.multiple=!0},remove(event2){const options=selectElement.options,index2=event2.detail.remove;options[index2].selected=!1,selectElement.remove(index2),options.length>0&&Array.prototype.findIndex.call(options,option2=>option2.selected)===-1&&(options[0].selected=!0),storage.setValue(id2,{value:getValue(!0),items:getItems(event2)}),selectedValues=getValue(!1)},clear(event2){for(;selectElement.length!==0;)selectElement.
+remove(0);storage.setValue(id2,{value:null,items:[]}),selectedValues=getValue(!1)},insert(event2){const{index:index2,displayValue,exportValue}=event2.detail.insert,selectChild=selectElement.children[index2],optionElement=document.createElement("option");optionElement.textContent=displayValue,optionElement.value=exportValue,selectChild?selectChild.before(optionElement):selectElement.append(optionElement),storage.setValue(id2,{value:getValue(!0),items:getItems(event2)}),selectedValues=getValue(!1)},
+items(event2){const{items:items2}=event2.detail;for(;selectElement.length!==0;)selectElement.remove(0);for(const item of items2){const{displayValue,exportValue}=item,optionElement=document.createElement("option");optionElement.textContent=displayValue,optionElement.value=exportValue,selectElement.append(optionElement)}selectElement.options.length>0&&(selectElement.options[0].selected=!0),storage.setValue(id2,{value:getValue(!0),items:getItems(event2)}),selectedValues=getValue(!1)},indices(event2){
+const indices=new Set(event2.detail.indices);for(const option2 of event2.target.options)option2.selected=indices.has(option2.index);storage.setValue(id2,{value:getValue(!0)}),selectedValues=getValue(!1)},editable(event2){event2.target.disabled=!event2.detail.editable}};this._dispatchEventFromSandbox(actions,jsEvent)}),selectElement.addEventListener("input",event2=>{const exportValue=getValue(!0),change=getValue(!1);storage.setValue(id2,{value:exportValue}),event2.preventDefault(),this.linkService.
+eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value:selectedValues,change,changeEx:exportValue,willCommit:!1,commitKey:1,keyDown:!1}})}),this._setEventListeners(selectElement,null,[["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"],["input","Action"],["input","Validate"]],event2=>event2.target.value)):selectElement.addEventListener("input",function(event2){storage.
+setValue(id2,{value:getValue(!0)})}),this.data.combo&&this._setTextStyle(selectElement),this._setBackgroundColor(selectElement),this._setDefaultPropertiesFromJS(selectElement),this.container.append(selectElement),this.container}}class PopupAnnotationElement extends AnnotationElement{constructor(parameters){const{data,elements}=parameters;super(parameters,{isRenderable:AnnotationElement._hasPopupData(data)}),this.elements=elements,this.popup=null}render(){const{container:container2}=this;container2.
+classList.add("popupAnnotation"),container2.role="comment";const popup=this.popup=new PopupElement({container:this.container,color:this.data.color,titleObj:this.data.titleObj,modificationDate:this.data.modificationDate||this.data.creationDate,contentsObj:this.data.contentsObj,richText:this.data.richText,rect:this.data.rect,parentRect:this.data.parentRect||null,parent:this.parent,elements:this.elements,open:this.data.open}),elementIds=[];for(const element2 of this.elements)element2.popup=popup,element2.
+container.ariaHasPopup="dialog",elementIds.push(element2.data.id),element2.addHighlightArea();return this.container.setAttribute("aria-controls",elementIds.map(id2=>`${AnnotationPrefix}${id2}`).join(",")),this.container}}class PopupElement{#boundKeyDown=this.#keyDown.bind(this);#boundHide=this.#hide.bind(this);#boundShow=this.#show.bind(this);#boundToggle=this.#toggle.bind(this);#color=null;#container=null;#contentsObj=null;#dateObj=null;#elements=null;#parent=null;#parentRect=null;#pinned=!1;#popup=null;#popupAbortController=null;#position=null;#rect=null;#richText=null;#titleObj=null;#updates=null;#wasVisible=!1;constructor({
+container:container2,color,elements,titleObj,modificationDate,contentsObj,richText,parent,rect,parentRect,open:open2}){this.#container=container2,this.#titleObj=titleObj,this.#contentsObj=contentsObj,this.#richText=richText,this.#parent=parent,this.#color=color,this.#rect=rect,this.#parentRect=parentRect,this.#elements=elements,this.#dateObj=PDFDateString.toDateObject(modificationDate),this.trigger=elements.flatMap(e=>e.getElementsToTriggerPopup()),this.#addEventListeners(),this.#container.hidden=
+!0,open2&&this.#toggle()}#addEventListeners(){if(this.#popupAbortController)return;this.#popupAbortController=new AbortController;const{signal}=this.#popupAbortController;for(const element2 of this.trigger)element2.addEventListener("click",this.#boundToggle,{signal}),element2.addEventListener("mouseenter",this.#boundShow,{signal}),element2.addEventListener("mouseleave",this.#boundHide,{signal}),element2.classList.add("popupTriggerArea");for(const element2 of this.#elements)element2.container?.addEventListener(
+"keydown",this.#boundKeyDown,{signal})}render(){if(this.#popup)return;const popup=this.#popup=document.createElement("div");if(popup.className="popup",this.#color){const baseColor=popup.style.outlineColor=Util.makeHexColor(...this.#color);popup.style.backgroundColor=`color-mix(in srgb, ${baseColor} 30%, white)`}const header=document.createElement("span");if(header.className="header",this.#titleObj?.str){const title2=document.createElement("span");title2.className="title",header.append(title2),{dir:title2.
+dir,str:title2.textContent}=this.#titleObj}if(popup.append(header),this.#dateObj){const modificationDate=document.createElement("time");modificationDate.className="popupDate",modificationDate.setAttribute("data-l10n-id","pdfjs-annotation-date-time-string"),modificationDate.setAttribute("data-l10n-args",JSON.stringify({dateObj:this.#dateObj.valueOf()})),modificationDate.dateTime=this.#dateObj.toISOString(),header.append(modificationDate)}const html2=this.#html;if(html2)XfaLayer.render({xfaHtml:html2,
+intent:"richText",div:popup}),popup.lastChild.classList.add("richText","popupContent");else{const contents=this._formatContents(this.#contentsObj);popup.append(contents)}this.#container.append(popup)}get#html(){const richText=this.#richText,contentsObj=this.#contentsObj;return richText?.str&&(!contentsObj?.str||contentsObj.str===richText.str)&&this.#richText.html||null}get#fontSize(){return this.#html?.attributes?.style?.fontSize||0}get#fontColor(){return this.#html?.attributes?.style?.color||null}#makePopupContent(text2){
+const popupLines=[],popupContent={str:text2,html:{name:"div",attributes:{dir:"auto"},children:[{name:"p",children:popupLines}]}},lineAttributes={style:{color:this.#fontColor,fontSize:this.#fontSize?`calc(${this.#fontSize}px * var(--total-scale-factor))`:""}};for(const line of text2.split(`
+`))popupLines.push({name:"span",value:line,attributes:lineAttributes});return popupContent}_formatContents({str,dir}){const p2=document.createElement("p");p2.classList.add("popupContent"),p2.dir=dir;const lines=str.split(/(?:\r\n?|\n)/);for(let i=0,ii=lines.length;i<ii;++i){const line=lines[i];p2.append(document.createTextNode(line)),i<ii-1&&p2.append(document.createElement("br"))}return p2}#keyDown(event2){event2.altKey||event2.shiftKey||event2.ctrlKey||event2.metaKey||(event2.key==="Enter"||event2.
+key==="Escape"&&this.#pinned)&&this.#toggle()}updateEdited({rect,popup,deleted}){if(deleted||popup?.deleted){this.remove();return}this.#addEventListeners(),this.#updates||={contentsObj:this.#contentsObj,richText:this.#richText},rect&&(this.#position=null),popup&&(this.#richText=this.#makePopupContent(popup.text),this.#dateObj=PDFDateString.toDateObject(popup.date),this.#contentsObj=null),this.#popup?.remove(),this.#popup=null}resetEdited(){this.#updates&&({contentsObj:this.#contentsObj,richText:this.#richText}=
+this.#updates,this.#updates=null,this.#popup?.remove(),this.#popup=null,this.#position=null)}remove(){this.#popupAbortController?.abort(),this.#popupAbortController=null,this.#popup?.remove(),this.#popup=null,this.#wasVisible=!1,this.#pinned=!1;for(const element2 of this.trigger)element2.classList.remove("popupTriggerArea")}#setPosition(){if(this.#position!==null)return;const{page:{view},viewport:{rawDims:{pageWidth,pageHeight,pageX,pageY}}}=this.#parent;let useParentRect=!!this.#parentRect,rect=useParentRect?
+this.#parentRect:this.#rect;for(const element2 of this.#elements)if(!rect||Util.intersect(element2.data.rect,rect)!==null){rect=element2.data.rect,useParentRect=!0;break}const normalizedRect=Util.normalizeRect([rect[0],view[3]-rect[1]+view[1],rect[2],view[3]-rect[3]+view[1]]),parentWidth=useParentRect?rect[2]-rect[0]+5:0,popupLeft=normalizedRect[0]+parentWidth,popupTop=normalizedRect[1];this.#position=[100*(popupLeft-pageX)/pageWidth,100*(popupTop-pageY)/pageHeight];const{style:style2}=this.#container;
+style2.left=`${this.#position[0]}%`,style2.top=`${this.#position[1]}%`}#toggle(){this.#pinned=!this.#pinned,this.#pinned?(this.#show(),this.#container.addEventListener("click",this.#boundToggle),this.#container.addEventListener("keydown",this.#boundKeyDown)):(this.#hide(),this.#container.removeEventListener("click",this.#boundToggle),this.#container.removeEventListener("keydown",this.#boundKeyDown))}#show(){this.#popup||this.render(),this.isVisible?this.#pinned&&this.#container.classList.add("fo\
+cused"):(this.#setPosition(),this.#container.hidden=!1,this.#container.style.zIndex=parseInt(this.#container.style.zIndex)+1e3)}#hide(){this.#container.classList.remove("focused"),!(this.#pinned||!this.isVisible)&&(this.#container.hidden=!0,this.#container.style.zIndex=parseInt(this.#container.style.zIndex)-1e3)}forceHide(){this.#wasVisible=this.isVisible,this.#wasVisible&&(this.#container.hidden=!0)}maybeShow(){this.#addEventListeners(),this.#wasVisible&&(this.#popup||this.#show(),this.#wasVisible=
+!1,this.#container.hidden=!1)}get isVisible(){return this.#container.hidden===!1}}class FreeTextAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.textContent=parameters.data.textContent,this.textPosition=parameters.data.textPosition,this.annotationEditorType=AnnotationEditorType.FREETEXT}render(){if(this.container.classList.add("freeTextAnnotation"),this.textContent){const content2=document.createElement("div");content2.classList.
+add("annotationTextContent"),content2.setAttribute("role","comment");for(const line of this.textContent){const lineSpan=document.createElement("span");lineSpan.textContent=line,content2.append(lineSpan)}this.container.append(content2)}return!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this._editOnDoubleClick(),this.container}}class LineAnnotationElement extends AnnotationElement{#line=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.
+classList.add("lineAnnotation");const{data,width,height}=this,svg2=this.svgFactory.create(width,height,!0),line=this.#line=this.svgFactory.createElement("svg:line");return line.setAttribute("x1",data.rect[2]-data.lineCoordinates[0]),line.setAttribute("y1",data.rect[3]-data.lineCoordinates[1]),line.setAttribute("x2",data.rect[2]-data.lineCoordinates[2]),line.setAttribute("y2",data.rect[3]-data.lineCoordinates[3]),line.setAttribute("stroke-width",data.borderStyle.width||1),line.setAttribute("strok\
+e","transparent"),line.setAttribute("fill","transparent"),svg2.append(line),this.container.append(svg2),!data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#line}addHighlightArea(){this.container.classList.add("highlightArea")}}class SquareAnnotationElement extends AnnotationElement{#square=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("squareAnnotation");const{data,
+width,height}=this,svg2=this.svgFactory.create(width,height,!0),borderWidth=data.borderStyle.width,square=this.#square=this.svgFactory.createElement("svg:rect");return square.setAttribute("x",borderWidth/2),square.setAttribute("y",borderWidth/2),square.setAttribute("width",width-borderWidth),square.setAttribute("height",height-borderWidth),square.setAttribute("stroke-width",borderWidth||1),square.setAttribute("stroke","transparent"),square.setAttribute("fill","transparent"),svg2.append(square),this.
+container.append(svg2),!data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#square}addHighlightArea(){this.container.classList.add("highlightArea")}}class CircleAnnotationElement extends AnnotationElement{#circle=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("circleAnnotation");const{data,width,height}=this,svg2=this.svgFactory.create(width,height,!0),borderWidth=data.
+borderStyle.width,circle=this.#circle=this.svgFactory.createElement("svg:ellipse");return circle.setAttribute("cx",width/2),circle.setAttribute("cy",height/2),circle.setAttribute("rx",width/2-borderWidth/2),circle.setAttribute("ry",height/2-borderWidth/2),circle.setAttribute("stroke-width",borderWidth||1),circle.setAttribute("stroke","transparent"),circle.setAttribute("fill","transparent"),svg2.append(circle),this.container.append(svg2),!data.popupRef&&this.hasPopupData&&this._createPopup(),this.
+container}getElementsToTriggerPopup(){return this.#circle}addHighlightArea(){this.container.classList.add("highlightArea")}}class PolylineAnnotationElement extends AnnotationElement{#polyline=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.containerClassName="polylineAnnotation",this.svgElementName="svg:polyline"}render(){this.container.classList.add(this.containerClassName);const{data:{rect,vertices,borderStyle,popupRef},width,height}=this;if(!vertices)return this.
+container;const svg2=this.svgFactory.create(width,height,!0);let points=[];for(let i=0,ii=vertices.length;i<ii;i+=2){const x=vertices[i]-rect[0],y=rect[3]-vertices[i+1];points.push(`${x},${y}`)}points=points.join(" ");const polyline=this.#polyline=this.svgFactory.createElement(this.svgElementName);return polyline.setAttribute("points",points),polyline.setAttribute("stroke-width",borderStyle.width||1),polyline.setAttribute("stroke","transparent"),polyline.setAttribute("fill","transparent"),svg2.append(
+polyline),this.container.append(svg2),!popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#polyline}addHighlightArea(){this.container.classList.add("highlightArea")}}class PolygonAnnotationElement extends PolylineAnnotationElement{constructor(parameters){super(parameters),this.containerClassName="polygonAnnotation",this.svgElementName="svg:polygon"}}class CaretAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,
+{isRenderable:!0,ignoreBorder:!0})}render(){return this.container.classList.add("caretAnnotation"),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}}class InkAnnotationElement extends AnnotationElement{#polylinesGroupElement=null;#polylines=[];constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.containerClassName="inkAnnotation",this.svgElementName="svg:polyline",this.annotationEditorType=this.data.it==="InkHighlight"?AnnotationEditorType.HIGHLIGHT:
+AnnotationEditorType.INK}#getTransform(rotation,rect){switch(rotation){case 90:return{transform:`rotate(90) translate(${-rect[0]},${rect[1]}) scale(1,-1)`,width:rect[3]-rect[1],height:rect[2]-rect[0]};case 180:return{transform:`rotate(180) translate(${-rect[2]},${rect[1]}) scale(1,-1)`,width:rect[2]-rect[0],height:rect[3]-rect[1]};case 270:return{transform:`rotate(270) translate(${-rect[2]},${rect[3]}) scale(1,-1)`,width:rect[3]-rect[1],height:rect[2]-rect[0]};default:return{transform:`translate\
+(${-rect[0]},${rect[3]}) scale(1,-1)`,width:rect[2]-rect[0],height:rect[3]-rect[1]}}}render(){this.container.classList.add(this.containerClassName);const{data:{rect,rotation,inkLists,borderStyle,popupRef}}=this,{transform:transform2,width,height}=this.#getTransform(rotation,rect),svg2=this.svgFactory.create(width,height,!0),g=this.#polylinesGroupElement=this.svgFactory.createElement("svg:g");svg2.append(g),g.setAttribute("stroke-width",borderStyle.width||1),g.setAttribute("stroke-linecap","round"),
+g.setAttribute("stroke-linejoin","round"),g.setAttribute("stroke-miterlimit",10),g.setAttribute("stroke","transparent"),g.setAttribute("fill","transparent"),g.setAttribute("transform",transform2);for(let i=0,ii=inkLists.length;i<ii;i++){const polyline=this.svgFactory.createElement(this.svgElementName);this.#polylines.push(polyline),polyline.setAttribute("points",inkLists[i].join(",")),g.append(polyline)}return!popupRef&&this.hasPopupData&&this._createPopup(),this.container.append(svg2),this._editOnDoubleClick(),
+this.container}updateEdited(params){super.updateEdited(params);const{thickness,points,rect}=params,g=this.#polylinesGroupElement;if(thickness>=0&&g.setAttribute("stroke-width",thickness||1),points)for(let i=0,ii=this.#polylines.length;i<ii;i++)this.#polylines[i].setAttribute("points",points[i].join(","));if(rect){const{transform:transform2,width,height}=this.#getTransform(this.data.rotation,rect);g.parentElement.setAttribute("viewBox",`0 0 ${width} ${height}`),g.setAttribute("transform",transform2)}}getElementsToTriggerPopup(){
+return this.#polylines}addHighlightArea(){this.container.classList.add("highlightArea")}}class HighlightAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0}),this.annotationEditorType=AnnotationEditorType.HIGHLIGHT}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("highlightAnnotation"),this._editOnDoubleClick(),overlaidText){
+const mark2=document.createElement("mark");mark2.classList.add("overlaidText"),mark2.textContent=overlaidText,this.container.append(mark2)}return this.container}}class UnderlineAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("underlineAnnotation"),overlaidText){const underline=document.
+createElement("u");underline.classList.add("overlaidText"),underline.textContent=overlaidText,this.container.append(underline)}return this.container}}class SquigglyAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("squigglyAnnotation"),overlaidText){const underline=document.
+createElement("u");underline.classList.add("overlaidText"),underline.textContent=overlaidText,this.container.append(underline)}return this.container}}class StrikeOutAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("strikeoutAnnotation"),overlaidText){const strikeout=document.
+createElement("s");strikeout.classList.add("overlaidText"),strikeout.textContent=overlaidText,this.container.append(strikeout)}return this.container}}class StampAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.annotationEditorType=AnnotationEditorType.STAMP}render(){return this.container.classList.add("stampAnnotation"),this.container.setAttribute("role","img"),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),
+this._editOnDoubleClick(),this.container}}class FileAttachmentAnnotationElement extends AnnotationElement{#trigger=null;constructor(parameters){super(parameters,{isRenderable:!0});const{file}=this.data;this.filename=file.filename,this.content=file.content,this.linkService.eventBus?.dispatch("fileattachmentannotation",{source:this,...file})}render(){this.container.classList.add("fileAttachmentAnnotation");const{container:container2,data}=this;let trigger;data.hasAppearance||data.fillAlpha===0?trigger=
+document.createElement("div"):(trigger=document.createElement("img"),trigger.src=`${this.imageResourcesPath}annotation-${/paperclip/i.test(data.name)?"paperclip":"pushpin"}.svg`,data.fillAlpha&&data.fillAlpha<1&&(trigger.style=`filter: opacity(${Math.round(data.fillAlpha*100)}%);`)),trigger.addEventListener("dblclick",this.#download.bind(this)),this.#trigger=trigger;const{isMac}=util_FeatureTest.platform;return container2.addEventListener("keydown",evt=>{evt.key==="Enter"&&(isMac?evt.metaKey:evt.
+ctrlKey)&&this.#download()}),!data.popupRef&&this.hasPopupData?this._createPopup():trigger.classList.add("popupTriggerArea"),container2.append(trigger),container2}getElementsToTriggerPopup(){return this.#trigger}addHighlightArea(){this.container.classList.add("highlightArea")}#download(){this.downloadManager?.openOrDownloadData(this.content,this.filename)}}class AnnotationLayer{#accessibilityManager=null;#annotationCanvasMap=null;#editableAnnotations=new Map;#structTreeLayer=null;constructor({div,
+accessibilityManager,annotationCanvasMap,annotationEditorUIManager,page:page2,viewport,structTreeLayer}){this.div=div,this.#accessibilityManager=accessibilityManager,this.#annotationCanvasMap=annotationCanvasMap,this.#structTreeLayer=structTreeLayer||null,this.page=page2,this.viewport=viewport,this.zIndex=0,this._annotationEditorUIManager=annotationEditorUIManager}hasEditableAnnotations(){return this.#editableAnnotations.size>0}async#appendElement(element2,id2,popupElements){const contentElement=element2.
+firstChild||element2,annotationId=contentElement.id=`${AnnotationPrefix}${id2}`,ariaAttributes=await this.#structTreeLayer?.getAriaAttributes(annotationId);if(ariaAttributes)for(const[key2,value]of ariaAttributes)contentElement.setAttribute(key2,value);popupElements?popupElements.at(-1).container.after(element2):(this.div.append(element2),this.#accessibilityManager?.moveElementInDOM(this.div,element2,contentElement,!1))}async render(params){const{annotations}=params,layer=this.div;setLayerDimensions(
+layer,this.viewport);const popupToElements=new Map,elementParams={data:null,layer,linkService:params.linkService,downloadManager:params.downloadManager,imageResourcesPath:params.imageResourcesPath||"",renderForms:params.renderForms!==!1,svgFactory:new DOMSVGFactory,annotationStorage:params.annotationStorage||new AnnotationStorage,enableScripting:params.enableScripting===!0,hasJSActions:params.hasJSActions,fieldObjects:params.fieldObjects,parent:this,elements:null};for(const data of annotations){
+if(data.noHTML)continue;const isPopupAnnotation=data.annotationType===AnnotationType.POPUP;if(isPopupAnnotation){const elements=popupToElements.get(data.id);if(!elements)continue;elementParams.elements=elements}else if(data.rect[2]===data.rect[0]||data.rect[3]===data.rect[1])continue;elementParams.data=data;const element2=AnnotationElementFactory.create(elementParams);if(!element2.isRenderable)continue;if(!isPopupAnnotation&&data.popupRef){const elements=popupToElements.get(data.popupRef);elements?
+elements.push(element2):popupToElements.set(data.popupRef,[element2])}const rendered=element2.render();data.hidden&&(rendered.style.visibility="hidden"),await this.#appendElement(rendered,data.id,elementParams.elements),element2._isEditable&&(this.#editableAnnotations.set(element2.data.id,element2),this._annotationEditorUIManager?.renderAnnotationElement(element2))}this.#setAnnotationCanvasMap()}async addLinkAnnotations(annotations,linkService){const elementParams={data:null,layer:this.div,linkService,
+svgFactory:new DOMSVGFactory,parent:this};for(const data of annotations){data.borderStyle||=AnnotationLayer._defaultBorderStyle,elementParams.data=data;const element2=AnnotationElementFactory.create(elementParams);if(!element2.isRenderable)continue;const rendered=element2.render();await this.#appendElement(rendered,data.id,null)}}update({viewport}){const layer=this.div;this.viewport=viewport,setLayerDimensions(layer,{rotation:viewport.rotation}),this.#setAnnotationCanvasMap(),layer.hidden=!1}#setAnnotationCanvasMap(){
+if(!this.#annotationCanvasMap)return;const layer=this.div;for(const[id2,canvas]of this.#annotationCanvasMap){const element2=layer.querySelector(`[data-annotation-id="${id2}"]`);if(!element2)continue;canvas.className="annotationContent";const{firstChild}=element2;firstChild?firstChild.nodeName==="CANVAS"?firstChild.replaceWith(canvas):firstChild.classList.contains("annotationContent")?firstChild.after(canvas):firstChild.before(canvas):element2.append(canvas);const editableAnnotation=this.#editableAnnotations.
+get(id2);editableAnnotation&&(editableAnnotation._hasNoCanvas?(this._annotationEditorUIManager?.setMissingCanvas(id2,element2.id,canvas),editableAnnotation._hasNoCanvas=!1):editableAnnotation.canvas=canvas)}this.#annotationCanvasMap.clear()}getEditableAnnotations(){return Array.from(this.#editableAnnotations.values())}getEditableAnnotation(id2){return this.#editableAnnotations.get(id2)}static get _defaultBorderStyle(){return shadow(this,"_defaultBorderStyle",Object.freeze({width:1,rawWidth:1,style:AnnotationBorderStyleType.
+SOLID,dashArray:[3],horizontalCornerRadius:0,verticalCornerRadius:0}))}}const EOL_PATTERN=/\r\n?|\n/g;class FreeTextEditor extends AnnotationEditor{#color;#content="";#editorDivId=`${this.id}-editor`;#editModeAC=null;#fontSize;_colorPicker=null;static _freeTextDefaultContent="";static _internalPadding=0;static _defaultColor=null;static _defaultFontSize=10;static get _keyboardManager(){const proto=FreeTextEditor.prototype,arrowChecker=self2=>self2.isEmpty(),small=AnnotationEditorUIManager.TRANSLATE_SMALL,
+big=AnnotationEditorUIManager.TRANSLATE_BIG;return shadow(this,"_keyboardManager",new KeyboardManager([[["ctrl+s","mac+meta+s","ctrl+p","mac+meta+p"],proto.commitOrRemove,{bubbles:!0}],[["ctrl+Enter","mac+meta+Enter","Escape","mac+Escape"],proto.commitOrRemove],[["ArrowLeft","mac+ArrowLeft"],proto._translateEmpty,{args:[-small,0],checker:arrowChecker}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],proto._translateEmpty,{args:[-big,0],checker:arrowChecker}],[["ArrowRight","mac+ArrowRight"],proto._translateEmpty,
+{args:[small,0],checker:arrowChecker}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],proto._translateEmpty,{args:[big,0],checker:arrowChecker}],[["ArrowUp","mac+ArrowUp"],proto._translateEmpty,{args:[0,-small],checker:arrowChecker}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],proto._translateEmpty,{args:[0,-big],checker:arrowChecker}],[["ArrowDown","mac+ArrowDown"],proto._translateEmpty,{args:[0,small],checker:arrowChecker}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],proto._translateEmpty,{args:[0,big],checker:arrowChecker}]]))}static _type="\
+freetext";static _editorType=AnnotationEditorType.FREETEXT;constructor(params){super({...params,name:"freeTextEditor"}),this.#color=params.color||FreeTextEditor._defaultColor||AnnotationEditor._defaultLineColor,this.#fontSize=params.fontSize||FreeTextEditor._defaultFontSize,this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-freetext-added-alert")}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager);const style2=getComputedStyle(document.documentElement);this.
+_internalPadding=parseFloat(style2.getPropertyValue("--freetext-padding"))}static updateDefaultParams(type2,value){switch(type2){case AnnotationEditorParamsType.FREETEXT_SIZE:FreeTextEditor._defaultFontSize=value;break;case AnnotationEditorParamsType.FREETEXT_COLOR:FreeTextEditor._defaultColor=value;break}}updateParams(type2,value){switch(type2){case AnnotationEditorParamsType.FREETEXT_SIZE:this.#updateFontSize(value);break;case AnnotationEditorParamsType.FREETEXT_COLOR:this.#updateColor(value);
+break}}static get defaultPropertiesToUpdate(){return[[AnnotationEditorParamsType.FREETEXT_SIZE,FreeTextEditor._defaultFontSize],[AnnotationEditorParamsType.FREETEXT_COLOR,FreeTextEditor._defaultColor||AnnotationEditor._defaultLineColor]]}get propertiesToUpdate(){return[[AnnotationEditorParamsType.FREETEXT_SIZE,this.#fontSize],[AnnotationEditorParamsType.FREETEXT_COLOR,this.#color]]}get toolbarButtons(){return this._colorPicker||=new BasicColorPicker(this),[["colorPicker",this._colorPicker]]}get colorType(){
+return AnnotationEditorParamsType.FREETEXT_COLOR}get colorValue(){return this.#color}#updateFontSize(fontSize){const setFontsize=size2=>{this.editorDiv.style.fontSize=`calc(${size2}px * var(--total-scale-factor))`,this.translate(0,-(size2-this.#fontSize)*this.parentScale),this.#fontSize=size2,this.#setEditorDimensions()},savedFontsize=this.#fontSize;this.addCommands({cmd:setFontsize.bind(this,fontSize),undo:setFontsize.bind(this,savedFontsize),post:this._uiManager.updateUI.bind(this._uiManager,this),
+mustExec:!0,type:AnnotationEditorParamsType.FREETEXT_SIZE,overwriteIfSameType:!0,keepUndo:!0})}#updateColor(color){const setColor=col=>{this.#color=this.editorDiv.style.color=col,this._colorPicker?.update(col)},savedColor=this.#color;this.addCommands({cmd:setColor.bind(this,color),undo:setColor.bind(this,savedColor),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:AnnotationEditorParamsType.FREETEXT_COLOR,overwriteIfSameType:!0,keepUndo:!0})}_translateEmpty(x,y){this._uiManager.
+translateSelectedEditors(x,y,!0)}getInitialTranslation(){const scale2=this.parentScale;return[-FreeTextEditor._internalPadding*scale2,-(FreeTextEditor._internalPadding+this.#fontSize)*scale2]}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.isAttachedToDOM||this.parent.add(this)))}enableEditMode(){if(!super.enableEditMode())return!1;this.overlayDiv.classList.remove("enabled"),this.editorDiv.contentEditable=!0,this._isDraggable=!1,this.div.removeAttribute("aria-activedescendant"),this.#editModeAC=
+new AbortController;const signal=this._uiManager.combinedSignal(this.#editModeAC);return this.editorDiv.addEventListener("keydown",this.editorDivKeydown.bind(this),{signal}),this.editorDiv.addEventListener("focus",this.editorDivFocus.bind(this),{signal}),this.editorDiv.addEventListener("blur",this.editorDivBlur.bind(this),{signal}),this.editorDiv.addEventListener("input",this.editorDivInput.bind(this),{signal}),this.editorDiv.addEventListener("paste",this.editorDivPaste.bind(this),{signal}),!0}disableEditMode(){
+return super.disableEditMode()?(this.overlayDiv.classList.add("enabled"),this.editorDiv.contentEditable=!1,this.div.setAttribute("aria-activedescendant",this.#editorDivId),this._isDraggable=!0,this.#editModeAC?.abort(),this.#editModeAC=null,this.div.focus({preventScroll:!0}),this.isEditing=!1,this.parent.div.classList.add("freetextEditing"),!0):!1}focusin(event2){this._focusEventsAllowed&&(super.focusin(event2),event2.target!==this.editorDiv&&this.editorDiv.focus())}onceAdded(focus2){this.width||
+(this.enableEditMode(),focus2&&this.editorDiv.focus(),this._initialOptions?.isCentered&&this.center(),this._initialOptions=null)}isEmpty(){return!this.editorDiv||this.editorDiv.innerText.trim()===""}remove(){this.isEditing=!1,this.parent&&(this.parent.setEditingState(!0),this.parent.div.classList.add("freetextEditing")),super.remove()}#extractText(){const buffer=[];this.editorDiv.normalize();let prevChild=null;for(const child2 of this.editorDiv.childNodes)prevChild?.nodeType===Node.TEXT_NODE&&child2.
+nodeName==="BR"||(buffer.push(FreeTextEditor.#getNodeContent(child2)),prevChild=child2);return buffer.join(`
+`)}#setEditorDimensions(){const[parentWidth,parentHeight]=this.parentDimensions;let rect;if(this.isAttachedToDOM)rect=this.div.getBoundingClientRect();else{const{currentLayer,div}=this,savedDisplay=div.style.display,savedVisibility=div.classList.contains("hidden");div.classList.remove("hidden"),div.style.display="hidden",currentLayer.div.append(this.div),rect=div.getBoundingClientRect(),div.remove(),div.style.display=savedDisplay,div.classList.toggle("hidden",savedVisibility)}this.rotation%180===
+this.parentRotation%180?(this.width=rect.width/parentWidth,this.height=rect.height/parentHeight):(this.width=rect.height/parentWidth,this.height=rect.width/parentHeight),this.fixAndSetPosition()}commit(){if(!this.isInEditMode())return;super.commit(),this.disableEditMode();const savedText=this.#content,newText=this.#content=this.#extractText().trimEnd();if(savedText===newText)return;const setText=text2=>{if(this.#content=text2,!text2){this.remove();return}this.#setContent(),this._uiManager.rebuild(
+this),this.#setEditorDimensions()};this.addCommands({cmd:()=>{setText(newText)},undo:()=>{setText(savedText)},mustExec:!1}),this.#setEditorDimensions()}shouldGetKeyboardEvents(){return this.isInEditMode()}enterInEditMode(){this.enableEditMode(),this.editorDiv.focus()}keydown(event2){event2.target===this.div&&event2.key==="Enter"&&(this.enterInEditMode(),event2.preventDefault())}editorDivKeydown(event2){FreeTextEditor._keyboardManager.exec(this,event2)}editorDivFocus(event2){this.isEditing=!0}editorDivBlur(event2){
+this.isEditing=!1}editorDivInput(event2){this.parent.div.classList.toggle("freetextEditing",this.isEmpty())}disableEditing(){this.editorDiv.setAttribute("role","comment"),this.editorDiv.removeAttribute("aria-multiline")}enableEditing(){this.editorDiv.setAttribute("role","textbox"),this.editorDiv.setAttribute("aria-multiline",!0)}get canChangeContent(){return!0}render(){if(this.div)return this.div;let baseX,baseY;(this._isCopy||this.annotationElementId)&&(baseX=this.x,baseY=this.y),super.render(),
+this.editorDiv=document.createElement("div"),this.editorDiv.className="internal",this.editorDiv.setAttribute("id",this.#editorDivId),this.editorDiv.setAttribute("data-l10n-id","pdfjs-free-text2"),this.editorDiv.setAttribute("data-l10n-attrs","default-content"),this.enableEditing(),this.editorDiv.contentEditable=!0;const{style:style2}=this.editorDiv;if(style2.fontSize=`calc(${this.#fontSize}px * var(--total-scale-factor))`,style2.color=this.#color,this.div.append(this.editorDiv),this.overlayDiv=document.
+createElement("div"),this.overlayDiv.classList.add("overlay","enabled"),this.div.append(this.overlayDiv),this._isCopy||this.annotationElementId){const[parentWidth,parentHeight]=this.parentDimensions;if(this.annotationElementId){const{position:position2}=this._initialData;let[tx,ty]=this.getInitialTranslation();[tx,ty]=this.pageTranslationToScreen(tx,ty);const[pageWidth,pageHeight]=this.pageDimensions,[pageX,pageY]=this.pageTranslation;let posX,posY;switch(this.rotation){case 0:posX=baseX+(position2[0]-
+pageX)/pageWidth,posY=baseY+this.height-(position2[1]-pageY)/pageHeight;break;case 90:posX=baseX+(position2[0]-pageX)/pageWidth,posY=baseY-(position2[1]-pageY)/pageHeight,[tx,ty]=[ty,-tx];break;case 180:posX=baseX-this.width+(position2[0]-pageX)/pageWidth,posY=baseY-(position2[1]-pageY)/pageHeight,[tx,ty]=[-tx,-ty];break;case 270:posX=baseX+(position2[0]-pageX-this.height*pageHeight)/pageWidth,posY=baseY+(position2[1]-pageY-this.width*pageWidth)/pageHeight,[tx,ty]=[-ty,tx];break}this.setAt(posX*
+parentWidth,posY*parentHeight,tx,ty)}else this._moveAfterPaste(baseX,baseY);this.#setContent(),this._isDraggable=!0,this.editorDiv.contentEditable=!1}else this._isDraggable=!1,this.editorDiv.contentEditable=!0;return this.div}static#getNodeContent(node2){return(node2.nodeType===Node.TEXT_NODE?node2.nodeValue:node2.innerText).replaceAll(EOL_PATTERN,"")}editorDivPaste(event2){const clipboardData=event2.clipboardData||window.clipboardData,{types:types2}=clipboardData;if(types2.length===1&&types2[0]===
+"text/plain")return;event2.preventDefault();const paste=FreeTextEditor.#deserializeContent(clipboardData.getData("text")||"").replaceAll(EOL_PATTERN,`
+`);if(!paste)return;const selection=window.getSelection();if(!selection.rangeCount)return;this.editorDiv.normalize(),selection.deleteFromDocument();const range=selection.getRangeAt(0);if(!paste.includes(`
+`)){range.insertNode(document.createTextNode(paste)),this.editorDiv.normalize(),selection.collapseToStart();return}const{startContainer,startOffset}=range,bufferBefore=[],bufferAfter=[];if(startContainer.nodeType===Node.TEXT_NODE){const parent=startContainer.parentElement;if(bufferAfter.push(startContainer.nodeValue.slice(startOffset).replaceAll(EOL_PATTERN,"")),parent!==this.editorDiv){let buffer=bufferBefore;for(const child2 of this.editorDiv.childNodes){if(child2===parent){buffer=bufferAfter;
+continue}buffer.push(FreeTextEditor.#getNodeContent(child2))}}bufferBefore.push(startContainer.nodeValue.slice(0,startOffset).replaceAll(EOL_PATTERN,""))}else if(startContainer===this.editorDiv){let buffer=bufferBefore,i=0;for(const child2 of this.editorDiv.childNodes)i++===startOffset&&(buffer=bufferAfter),buffer.push(FreeTextEditor.#getNodeContent(child2))}this.#content=`${bufferBefore.join(`
+`)}${paste}${bufferAfter.join(`
+`)}`,this.#setContent();const newRange=new Range;let beforeLength=Math.sumPrecise(bufferBefore.map(line=>line.length));for(const{firstChild}of this.editorDiv.childNodes)if(firstChild.nodeType===Node.TEXT_NODE){const length=firstChild.nodeValue.length;if(beforeLength<=length){newRange.setStart(firstChild,beforeLength),newRange.setEnd(firstChild,beforeLength);break}beforeLength-=length}selection.removeAllRanges(),selection.addRange(newRange)}#setContent(){if(this.editorDiv.replaceChildren(),!!this.#content)
+for(const line of this.#content.split(`
+`)){const div=document.createElement("div");div.append(line?document.createTextNode(line):document.createElement("br")),this.editorDiv.append(div)}}#serializeContent(){return this.#content.replaceAll(" "," ")}static#deserializeContent(content2){return content2.replaceAll(" "," ")}get contentDiv(){return this.editorDiv}static async deserialize(data,parent,uiManager){let initialData=null;if(data instanceof FreeTextAnnotationElement){const{data:{defaultAppearanceData:{fontSize,fontColor},rect,rotation,
+id:id2,popupRef,contentsObj},textContent,textPosition,parent:{page:{pageNumber}}}=data;if(!textContent||textContent.length===0)return null;initialData=data={annotationType:AnnotationEditorType.FREETEXT,color:Array.from(fontColor),fontSize,value:textContent.join(`
+`),position:textPosition,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}const editor=await super.deserialize(data,parent,uiManager);return editor.#fontSize=data.fontSize,editor.#color=Util.makeHexColor(...data.color),editor.#content=FreeTextEditor.#deserializeContent(data.value),editor._initialData=initialData,data.comment&&editor.setCommentData(data.comment),editor}serialize(isForCopying=!1){if(this.isEmpty())
+return null;if(this.deleted)return this.serializeDeleted();const padding=FreeTextEditor._internalPadding*this.parentScale,rect=this.getRect(padding,padding),color=AnnotationEditor._colorManager.convert(this.isAttachedToDOM?getComputedStyle(this.editorDiv).color:this.#color),serialized={annotationType:AnnotationEditorType.FREETEXT,color,fontSize:this.#fontSize,value:this.#serializeContent(),pageIndex:this.pageIndex,rect,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.
+addComment(serialized),isForCopying?(serialized.isCopy=!0,serialized):this.annotationElementId&&!this.#hasElementChanged(serialized)?null:(serialized.id=this.annotationElementId,serialized)}#hasElementChanged(serialized){const{value,fontSize,color,pageIndex}=this._initialData;return this.hasEditedComment||this._hasBeenMoved||serialized.value!==value||serialized.fontSize!==fontSize||serialized.color.some((c2,i)=>c2!==color[i])||serialized.pageIndex!==pageIndex}renderAnnotationElement(annotation){
+const content2=super.renderAnnotationElement(annotation),{style:style2}=content2;style2.fontSize=`calc(${this.#fontSize}px * var(--total-scale-factor))`,style2.color=this.#color,content2.replaceChildren();for(const line of this.#content.split(`
+`)){const div=document.createElement("div");div.append(line?document.createTextNode(line):document.createElement("br")),content2.append(div)}const padding=FreeTextEditor._internalPadding*this.parentScale,params={rect:this.getRect(padding,padding)};return params.popup=this.hasEditedComment?this.comment:{text:this.#content},annotation.updateEdited(params),content2}resetAnnotationElement(annotation){super.resetAnnotationElement(annotation),annotation.resetEdited()}}class Outline{static PRECISION=1e-4;toSVGPath(){
+unreachable("Abstract method `toSVGPath` must be implemented.")}get box(){unreachable("Abstract getter `box` must be implemented.")}serialize(_bbox,_rotation){unreachable("Abstract method `serialize` must be implemented.")}static _rescale(src,tx,ty,sx,sy,dest){dest||=new Float32Array(src.length);for(let i=0,ii=src.length;i<ii;i+=2)dest[i]=tx+src[i]*sx,dest[i+1]=ty+src[i+1]*sy;return dest}static _rescaleAndSwap(src,tx,ty,sx,sy,dest){dest||=new Float32Array(src.length);for(let i=0,ii=src.length;i<
+ii;i+=2)dest[i]=tx+src[i+1]*sx,dest[i+1]=ty+src[i]*sy;return dest}static _translate(src,tx,ty,dest){dest||=new Float32Array(src.length);for(let i=0,ii=src.length;i<ii;i+=2)dest[i]=tx+src[i],dest[i+1]=ty+src[i+1];return dest}static svgRound(x){return Math.round(x*1e4)}static _normalizePoint(x,y,parentWidth,parentHeight,rotation){switch(rotation){case 90:return[1-y/parentWidth,x/parentHeight];case 180:return[1-x/parentWidth,1-y/parentHeight];case 270:return[y/parentWidth,1-x/parentHeight];default:
+return[x/parentWidth,y/parentHeight]}}static _normalizePagePoint(x,y,rotation){switch(rotation){case 90:return[1-y,x];case 180:return[1-x,1-y];case 270:return[y,1-x];default:return[x,y]}}static createBezierPoints(x1,y1,x2,y2,x3,y3){return[(x1+5*x2)/6,(y1+5*y2)/6,(5*x2+x3)/6,(5*y2+y3)/6,(x2+x3)/2,(y2+y3)/2]}}class FreeDrawOutliner{#box;#bottom=[];#innerMargin;#isLTR;#top=[];#last=new Float32Array(18);#lastX;#lastY;#min;#min_dist;#scaleFactor;#thickness;#points=[];static#MIN_DIST=8;static#MIN_DIFF=2;static#MIN=FreeDrawOutliner.#MIN_DIST+
+FreeDrawOutliner.#MIN_DIFF;constructor({x,y},box2,scaleFactor,thickness,isLTR,innerMargin=0){this.#box=box2,this.#thickness=thickness*scaleFactor,this.#isLTR=isLTR,this.#last.set([NaN,NaN,NaN,NaN,x,y],6),this.#innerMargin=innerMargin,this.#min_dist=FreeDrawOutliner.#MIN_DIST*scaleFactor,this.#min=FreeDrawOutliner.#MIN*scaleFactor,this.#scaleFactor=scaleFactor,this.#points.push(x,y)}isEmpty(){return isNaN(this.#last[8])}#getLastCoords(){const lastTop=this.#last.subarray(4,6),lastBottom=this.#last.
+subarray(16,18),[x,y,width,height]=this.#box;return[(this.#lastX+(lastTop[0]-lastBottom[0])/2-x)/width,(this.#lastY+(lastTop[1]-lastBottom[1])/2-y)/height,(this.#lastX+(lastBottom[0]-lastTop[0])/2-x)/width,(this.#lastY+(lastBottom[1]-lastTop[1])/2-y)/height]}add({x,y}){this.#lastX=x,this.#lastY=y;const[layerX,layerY,layerWidth,layerHeight]=this.#box;let[x1,y1,x2,y2]=this.#last.subarray(8,12);const diffX=x-x2,diffY=y-y2,d2=Math.hypot(diffX,diffY);if(d2<this.#min)return!1;const diffD=d2-this.#min_dist,
+K=diffD/d2,shiftX=K*diffX,shiftY=K*diffY;let x0=x1,y0=y1;x1=x2,y1=y2,x2+=shiftX,y2+=shiftY,this.#points?.push(x,y);const nX=-shiftY/diffD,nY=shiftX/diffD,thX=nX*this.#thickness,thY=nY*this.#thickness;return this.#last.set(this.#last.subarray(2,8),0),this.#last.set([x2+thX,y2+thY],4),this.#last.set(this.#last.subarray(14,18),12),this.#last.set([x2-thX,y2-thY],16),isNaN(this.#last[6])?(this.#top.length===0&&(this.#last.set([x1+thX,y1+thY],2),this.#top.push(NaN,NaN,NaN,NaN,(x1+thX-layerX)/layerWidth,
+(y1+thY-layerY)/layerHeight),this.#last.set([x1-thX,y1-thY],14),this.#bottom.push(NaN,NaN,NaN,NaN,(x1-thX-layerX)/layerWidth,(y1-thY-layerY)/layerHeight)),this.#last.set([x0,y0,x1,y1,x2,y2],6),!this.isEmpty()):(this.#last.set([x0,y0,x1,y1,x2,y2],6),Math.abs(Math.atan2(y0-y1,x0-x1)-Math.atan2(shiftY,shiftX))<Math.PI/2?([x1,y1,x2,y2]=this.#last.subarray(2,6),this.#top.push(NaN,NaN,NaN,NaN,((x1+x2)/2-layerX)/layerWidth,((y1+y2)/2-layerY)/layerHeight),[x1,y1,x0,y0]=this.#last.subarray(14,18),this.#bottom.
+push(NaN,NaN,NaN,NaN,((x0+x1)/2-layerX)/layerWidth,((y0+y1)/2-layerY)/layerHeight),!0):([x0,y0,x1,y1,x2,y2]=this.#last.subarray(0,6),this.#top.push(((x0+5*x1)/6-layerX)/layerWidth,((y0+5*y1)/6-layerY)/layerHeight,((5*x1+x2)/6-layerX)/layerWidth,((5*y1+y2)/6-layerY)/layerHeight,((x1+x2)/2-layerX)/layerWidth,((y1+y2)/2-layerY)/layerHeight),[x2,y2,x1,y1,x0,y0]=this.#last.subarray(12,18),this.#bottom.push(((x0+5*x1)/6-layerX)/layerWidth,((y0+5*y1)/6-layerY)/layerHeight,((5*x1+x2)/6-layerX)/layerWidth,
+((5*y1+y2)/6-layerY)/layerHeight,((x1+x2)/2-layerX)/layerWidth,((y1+y2)/2-layerY)/layerHeight),!0))}toSVGPath(){if(this.isEmpty())return"";const top=this.#top,bottom=this.#bottom;if(isNaN(this.#last[6])&&!this.isEmpty())return this.#toSVGPathTwoPoints();const buffer=[];buffer.push(`M${top[4]} ${top[5]}`);for(let i=6;i<top.length;i+=6)isNaN(top[i])?buffer.push(`L${top[i+4]} ${top[i+5]}`):buffer.push(`C${top[i]} ${top[i+1]} ${top[i+2]} ${top[i+3]} ${top[i+4]} ${top[i+5]}`);this.#toSVGPathEnd(buffer);
+for(let i=bottom.length-6;i>=6;i-=6)isNaN(bottom[i])?buffer.push(`L${bottom[i+4]} ${bottom[i+5]}`):buffer.push(`C${bottom[i]} ${bottom[i+1]} ${bottom[i+2]} ${bottom[i+3]} ${bottom[i+4]} ${bottom[i+5]}`);return this.#toSVGPathStart(buffer),buffer.join(" ")}#toSVGPathTwoPoints(){const[x,y,width,height]=this.#box,[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords();return`M${(this.#last[2]-x)/width} ${(this.#last[3]-y)/height} L${(this.#last[4]-x)/width} ${(this.#last[5]-y)/height} L${lastTopX}\
+ ${lastTopY} L${lastBottomX} ${lastBottomY} L${(this.#last[16]-x)/width} ${(this.#last[17]-y)/height} L${(this.#last[14]-x)/width} ${(this.#last[15]-y)/height} Z`}#toSVGPathStart(buffer){const bottom=this.#bottom;buffer.push(`L${bottom[4]} ${bottom[5]} Z`)}#toSVGPathEnd(buffer){const[x,y,width,height]=this.#box,lastTop=this.#last.subarray(4,6),lastBottom=this.#last.subarray(16,18),[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords();buffer.push(`L${(lastTop[0]-x)/width} ${(lastTop[1]-
+y)/height} L${lastTopX} ${lastTopY} L${lastBottomX} ${lastBottomY} L${(lastBottom[0]-x)/width} ${(lastBottom[1]-y)/height}`)}newFreeDrawOutline(outline,points,box2,scaleFactor,innerMargin,isLTR){return new FreeDrawOutline(outline,points,box2,scaleFactor,innerMargin,isLTR)}getOutlines(){const top=this.#top,bottom=this.#bottom,last=this.#last,[layerX,layerY,layerWidth,layerHeight]=this.#box,points=new Float32Array((this.#points?.length??0)+2);for(let i=0,ii=points.length-2;i<ii;i+=2)points[i]=(this.#points[i]-
+layerX)/layerWidth,points[i+1]=(this.#points[i+1]-layerY)/layerHeight;if(points[points.length-2]=(this.#lastX-layerX)/layerWidth,points[points.length-1]=(this.#lastY-layerY)/layerHeight,isNaN(last[6])&&!this.isEmpty())return this.#getOutlineTwoPoints(points);const outline=new Float32Array(this.#top.length+24+this.#bottom.length);let N=top.length;for(let i=0;i<N;i+=2){if(isNaN(top[i])){outline[i]=outline[i+1]=NaN;continue}outline[i]=top[i],outline[i+1]=top[i+1]}N=this.#getOutlineEnd(outline,N);for(let i=bottom.
+length-6;i>=6;i-=6)for(let j=0;j<6;j+=2){if(isNaN(bottom[i+j])){outline[N]=outline[N+1]=NaN,N+=2;continue}outline[N]=bottom[i+j],outline[N+1]=bottom[i+j+1],N+=2}return this.#getOutlineStart(outline,N),this.newFreeDrawOutline(outline,points,this.#box,this.#scaleFactor,this.#innerMargin,this.#isLTR)}#getOutlineTwoPoints(points){const last=this.#last,[layerX,layerY,layerWidth,layerHeight]=this.#box,[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords(),outline=new Float32Array(36);return outline.
+set([NaN,NaN,NaN,NaN,(last[2]-layerX)/layerWidth,(last[3]-layerY)/layerHeight,NaN,NaN,NaN,NaN,(last[4]-layerX)/layerWidth,(last[5]-layerY)/layerHeight,NaN,NaN,NaN,NaN,lastTopX,lastTopY,NaN,NaN,NaN,NaN,lastBottomX,lastBottomY,NaN,NaN,NaN,NaN,(last[16]-layerX)/layerWidth,(last[17]-layerY)/layerHeight,NaN,NaN,NaN,NaN,(last[14]-layerX)/layerWidth,(last[15]-layerY)/layerHeight],0),this.newFreeDrawOutline(outline,points,this.#box,this.#scaleFactor,this.#innerMargin,this.#isLTR)}#getOutlineStart(outline,pos){
+const bottom=this.#bottom;return outline.set([NaN,NaN,NaN,NaN,bottom[4],bottom[5]],pos),pos+=6}#getOutlineEnd(outline,pos){const lastTop=this.#last.subarray(4,6),lastBottom=this.#last.subarray(16,18),[layerX,layerY,layerWidth,layerHeight]=this.#box,[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords();return outline.set([NaN,NaN,NaN,NaN,(lastTop[0]-layerX)/layerWidth,(lastTop[1]-layerY)/layerHeight,NaN,NaN,NaN,NaN,lastTopX,lastTopY,NaN,NaN,NaN,NaN,lastBottomX,lastBottomY,NaN,NaN,NaN,
+NaN,(lastBottom[0]-layerX)/layerWidth,(lastBottom[1]-layerY)/layerHeight],pos),pos+=24}}class FreeDrawOutline extends Outline{#box;#bbox=new Float32Array(4);#innerMargin;#isLTR;#points;#scaleFactor;#outline;constructor(outline,points,box2,scaleFactor,innerMargin,isLTR){super(),this.#outline=outline,this.#points=points,this.#box=box2,this.#scaleFactor=scaleFactor,this.#innerMargin=innerMargin,this.#isLTR=isLTR,this.lastPoint=[NaN,NaN],this.#computeMinMax(isLTR);const[x,y,width,height]=this.#bbox;
+for(let i=0,ii=outline.length;i<ii;i+=2)outline[i]=(outline[i]-x)/width,outline[i+1]=(outline[i+1]-y)/height;for(let i=0,ii=points.length;i<ii;i+=2)points[i]=(points[i]-x)/width,points[i+1]=(points[i+1]-y)/height}toSVGPath(){const buffer=[`M${this.#outline[4]} ${this.#outline[5]}`];for(let i=6,ii=this.#outline.length;i<ii;i+=6){if(isNaN(this.#outline[i])){buffer.push(`L${this.#outline[i+4]} ${this.#outline[i+5]}`);continue}buffer.push(`C${this.#outline[i]} ${this.#outline[i+1]} ${this.#outline[i+
+2]} ${this.#outline[i+3]} ${this.#outline[i+4]} ${this.#outline[i+5]}`)}return buffer.push("Z"),buffer.join(" ")}serialize([blX,blY,trX,trY],rotation){const width=trX-blX,height=trY-blY;let outline,points;switch(rotation){case 0:outline=Outline._rescale(this.#outline,blX,trY,width,-height),points=Outline._rescale(this.#points,blX,trY,width,-height);break;case 90:outline=Outline._rescaleAndSwap(this.#outline,blX,blY,width,height),points=Outline._rescaleAndSwap(this.#points,blX,blY,width,height);break;case 180:
+outline=Outline._rescale(this.#outline,trX,blY,-width,height),points=Outline._rescale(this.#points,trX,blY,-width,height);break;case 270:outline=Outline._rescaleAndSwap(this.#outline,trX,trY,-width,-height),points=Outline._rescaleAndSwap(this.#points,trX,trY,-width,-height);break}return{outline:Array.from(outline),points:[Array.from(points)]}}#computeMinMax(isLTR){const outline=this.#outline;let lastX=outline[4],lastY=outline[5];const minMax=[lastX,lastY,lastX,lastY];let lastPointX=lastX,lastPointY=lastY;
+const ltrCallback=isLTR?Math.max:Math.min;for(let i=6,ii=outline.length;i<ii;i+=6){const x=outline[i+4],y=outline[i+5];if(isNaN(outline[i]))Util.pointBoundingBox(x,y,minMax),lastPointY<y?(lastPointX=x,lastPointY=y):lastPointY===y&&(lastPointX=ltrCallback(lastPointX,x));else{const bbox2=[1/0,1/0,-1/0,-1/0];Util.bezierBoundingBox(lastX,lastY,...outline.slice(i,i+6),bbox2),Util.rectBoundingBox(...bbox2,minMax),lastPointY<bbox2[3]?(lastPointX=bbox2[2],lastPointY=bbox2[3]):lastPointY===bbox2[3]&&(lastPointX=
+ltrCallback(lastPointX,bbox2[2]))}lastX=x,lastY=y}const bbox=this.#bbox;bbox[0]=minMax[0]-this.#innerMargin,bbox[1]=minMax[1]-this.#innerMargin,bbox[2]=minMax[2]-minMax[0]+2*this.#innerMargin,bbox[3]=minMax[3]-minMax[1]+2*this.#innerMargin,this.lastPoint=[lastPointX,lastPointY]}get box(){return this.#bbox}newOutliner(point2,box2,scaleFactor,thickness,isLTR,innerMargin=0){return new FreeDrawOutliner(point2,box2,scaleFactor,thickness,isLTR,innerMargin)}getNewOutline(thickness,innerMargin){const[x,
+y,width,height]=this.#bbox,[layerX,layerY,layerWidth,layerHeight]=this.#box,sx=width*layerWidth,sy=height*layerHeight,tx=x*layerWidth+layerX,ty=y*layerHeight+layerY,outliner=this.newOutliner({x:this.#points[0]*sx+tx,y:this.#points[1]*sy+ty},this.#box,this.#scaleFactor,thickness,this.#isLTR,innerMargin??this.#innerMargin);for(let i=2;i<this.#points.length;i+=2)outliner.add({x:this.#points[i]*sx+tx,y:this.#points[i+1]*sy+ty});return outliner.getOutlines()}}class HighlightOutliner{#box;#lastPoint;#verticalEdges=[];#intervals=[];constructor(boxes,borderWidth=0,innerMargin=0,isLTR=!0){
+const minMax=[1/0,1/0,-1/0,-1/0],EPSILON=10**-4;for(const{x,y,width,height}of boxes){const x1=Math.floor((x-borderWidth)/EPSILON)*EPSILON,x2=Math.ceil((x+width+borderWidth)/EPSILON)*EPSILON,y1=Math.floor((y-borderWidth)/EPSILON)*EPSILON,y2=Math.ceil((y+height+borderWidth)/EPSILON)*EPSILON,left=[x1,y1,y2,!0],right=[x2,y1,y2,!1];this.#verticalEdges.push(left,right),Util.rectBoundingBox(x1,y1,x2,y2,minMax)}const bboxWidth=minMax[2]-minMax[0]+2*innerMargin,bboxHeight=minMax[3]-minMax[1]+2*innerMargin,
+shiftedMinX=minMax[0]-innerMargin,shiftedMinY=minMax[1]-innerMargin,lastEdge=this.#verticalEdges.at(isLTR?-1:-2),lastPoint=[lastEdge[0],lastEdge[2]];for(const edge of this.#verticalEdges){const[x,y1,y2]=edge;edge[0]=(x-shiftedMinX)/bboxWidth,edge[1]=(y1-shiftedMinY)/bboxHeight,edge[2]=(y2-shiftedMinY)/bboxHeight}this.#box=new Float32Array([shiftedMinX,shiftedMinY,bboxWidth,bboxHeight]),this.#lastPoint=lastPoint}getOutlines(){this.#verticalEdges.sort((a,b)=>a[0]-b[0]||a[1]-b[1]||a[2]-b[2]);const outlineVerticalEdges=[];
+for(const edge of this.#verticalEdges)edge[3]?(outlineVerticalEdges.push(...this.#breakEdge(edge)),this.#insert(edge)):(this.#remove(edge),outlineVerticalEdges.push(...this.#breakEdge(edge)));return this.#getOutlines(outlineVerticalEdges)}#getOutlines(outlineVerticalEdges){const edges=[],allEdges=new Set;for(const edge of outlineVerticalEdges){const[x,y1,y2]=edge;edges.push([x,y1,edge],[x,y2,edge])}edges.sort((a,b)=>a[1]-b[1]||a[0]-b[0]);for(let i=0,ii=edges.length;i<ii;i+=2){const edge1=edges[i][2],
+edge2=edges[i+1][2];edge1.push(edge2),edge2.push(edge1),allEdges.add(edge1),allEdges.add(edge2)}const outlines=[];let outline;for(;allEdges.size>0;){const edge=allEdges.values().next().value;let[x,y1,y2,edge1,edge2]=edge;allEdges.delete(edge);let lastPointX=x,lastPointY=y1;for(outline=[x,y2],outlines.push(outline);;){let e;if(allEdges.has(edge1))e=edge1;else if(allEdges.has(edge2))e=edge2;else break;allEdges.delete(e),[x,y1,y2,edge1,edge2]=e,lastPointX!==x&&(outline.push(lastPointX,lastPointY,x,
+lastPointY===y1?y1:y2),lastPointX=x),lastPointY=lastPointY===y1?y2:y1}outline.push(lastPointX,lastPointY)}return new HighlightOutline(outlines,this.#box,this.#lastPoint)}#binarySearch(y){const array2=this.#intervals;let start2=0,end=array2.length-1;for(;start2<=end;){const middle=start2+end>>1,y1=array2[middle][0];if(y1===y)return middle;y1<y?start2=middle+1:end=middle-1}return end+1}#insert([,y1,y2]){const index2=this.#binarySearch(y1);this.#intervals.splice(index2,0,[y1,y2])}#remove([,y1,y2]){
+const index2=this.#binarySearch(y1);for(let i=index2;i<this.#intervals.length;i++){const[start2,end]=this.#intervals[i];if(start2!==y1)break;if(start2===y1&&end===y2){this.#intervals.splice(i,1);return}}for(let i=index2-1;i>=0;i--){const[start2,end]=this.#intervals[i];if(start2!==y1)break;if(start2===y1&&end===y2){this.#intervals.splice(i,1);return}}}#breakEdge(edge){const[x,y1,y2]=edge,results=[[x,y1,y2]],index2=this.#binarySearch(y2);for(let i=0;i<index2;i++){const[start2,end]=this.#intervals[i];
+for(let j=0,jj=results.length;j<jj;j++){const[,y3,y4]=results[j];if(!(end<=y3||y4<=start2)){if(y3>=start2){if(y4>end)results[j][1]=end;else{if(jj===1)return[];results.splice(j,1),j--,jj--}continue}results[j][2]=start2,y4>end&&results.push([x,end,y4])}}}return results}}class HighlightOutline extends Outline{#box;#outlines;constructor(outlines,box2,lastPoint){super(),this.#outlines=outlines,this.#box=box2,this.lastPoint=lastPoint}toSVGPath(){const buffer=[];for(const polygon of this.#outlines){let[
+prevX,prevY]=polygon;buffer.push(`M${prevX} ${prevY}`);for(let i=2;i<polygon.length;i+=2){const x=polygon[i],y=polygon[i+1];x===prevX?(buffer.push(`V${y}`),prevY=y):y===prevY&&(buffer.push(`H${x}`),prevX=x)}buffer.push("Z")}return buffer.join(" ")}serialize([blX,blY,trX,trY],_rotation){const outlines=[],width=trX-blX,height=trY-blY;for(const outline of this.#outlines){const points=new Array(outline.length);for(let i=0;i<outline.length;i+=2)points[i]=blX+outline[i]*width,points[i+1]=trY-outline[i+
+1]*height;outlines.push(points)}return outlines}get box(){return this.#box}get classNamesForOutlining(){return["highlightOutline"]}}class FreeHighlightOutliner extends FreeDrawOutliner{newFreeDrawOutline(outline,points,box2,scaleFactor,innerMargin,isLTR){return new FreeHighlightOutline(outline,points,box2,scaleFactor,innerMargin,isLTR)}}class FreeHighlightOutline extends FreeDrawOutline{newOutliner(point2,box2,scaleFactor,thickness,isLTR,innerMargin=0){return new FreeHighlightOutliner(point2,box2,
+scaleFactor,thickness,isLTR,innerMargin)}}class HighlightEditor extends AnnotationEditor{#anchorNode=null;#anchorOffset=0;#boxes;#clipPathId=null;#colorPicker=null;#focusOutlines=null;#focusNode=null;#focusOffset=0;#highlightDiv=null;#highlightOutlines=null;#id=null;#isFreeHighlight=!1;#lastPoint=null;#opacity;#outlineId=null;#text="";#thickness;#methodOfCreation="";static _defaultColor=null;static _defaultOpacity=1;static _defaultThickness=12;static _type="highlight";static _editorType=AnnotationEditorType.
+HIGHLIGHT;static _freeHighlightId=-1;static _freeHighlight=null;static _freeHighlightClipId="";static get _keyboardManager(){const proto=HighlightEditor.prototype;return shadow(this,"_keyboardManager",new KeyboardManager([[["ArrowLeft","mac+ArrowLeft"],proto._moveCaret,{args:[0]}],[["ArrowRight","mac+ArrowRight"],proto._moveCaret,{args:[1]}],[["ArrowUp","mac+ArrowUp"],proto._moveCaret,{args:[2]}],[["ArrowDown","mac+ArrowDown"],proto._moveCaret,{args:[3]}]]))}constructor(params){super({...params,
+name:"highlightEditor"}),this.color=params.color||HighlightEditor._defaultColor,this.#thickness=params.thickness||HighlightEditor._defaultThickness,this.#opacity=params.opacity||HighlightEditor._defaultOpacity,this.#boxes=params.boxes||null,this.#methodOfCreation=params.methodOfCreation||"",this.#text=params.text||"",this._isDraggable=!1,this.defaultL10nId="pdfjs-editor-highlight-editor",params.highlightId>-1?(this.#isFreeHighlight=!0,this.#createFreeOutlines(params),this.#addToDrawLayer()):this.#boxes&&
+(this.#anchorNode=params.anchorNode,this.#anchorOffset=params.anchorOffset,this.#focusNode=params.focusNode,this.#focusOffset=params.focusOffset,this.#createOutlines(),this.#addToDrawLayer(),this.rotate(this.rotation)),this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-highlight-added-alert")}get telemetryInitialData(){return{action:"added",type:this.#isFreeHighlight?"free_highlight":"highlight",color:this._uiManager.getNonHCMColorName(this.color),thickness:this.#thickness,methodOfCreation:this.#methodOfCreation}}get telemetryFinalData(){
+return{type:"highlight",color:this._uiManager.getNonHCMColorName(this.color)}}get commentColor(){return this.color}static computeTelemetryFinalData(data){return{numberOfColors:data.get("color").size}}#createOutlines(){const outliner=new HighlightOutliner(this.#boxes,.001);this.#highlightOutlines=outliner.getOutlines(),[this.x,this.y,this.width,this.height]=this.#highlightOutlines.box;const outlinerForOutline=new HighlightOutliner(this.#boxes,.0025,.001,this._uiManager.direction==="ltr");this.#focusOutlines=
+outlinerForOutline.getOutlines();const{lastPoint}=this.#focusOutlines;this.#lastPoint=[(lastPoint[0]-this.x)/this.width,(lastPoint[1]-this.y)/this.height]}#createFreeOutlines({highlightOutlines,highlightId,clipPathId}){this.#highlightOutlines=highlightOutlines;const extraThickness=1.5;if(this.#focusOutlines=highlightOutlines.getNewOutline(this.#thickness/2+extraThickness,.0025),highlightId>=0)this.#id=highlightId,this.#clipPathId=clipPathId,this.parent.drawLayer.finalizeDraw(highlightId,{bbox:highlightOutlines.
+box,path:{d:highlightOutlines.toSVGPath()}}),this.#outlineId=this.parent.drawLayer.drawOutline({rootClass:{highlightOutline:!0,free:!0},bbox:this.#focusOutlines.box,path:{d:this.#focusOutlines.toSVGPath()}},!0);else if(this.parent){const angle=this.parent.viewport.rotation;this.parent.drawLayer.updateProperties(this.#id,{bbox:HighlightEditor.#rotateBbox(this.#highlightOutlines.box,(angle-this.rotation+360)%360),path:{d:highlightOutlines.toSVGPath()}}),this.parent.drawLayer.updateProperties(this.#outlineId,
+{bbox:HighlightEditor.#rotateBbox(this.#focusOutlines.box,angle),path:{d:this.#focusOutlines.toSVGPath()}})}const[x,y,width,height]=highlightOutlines.box;switch(this.rotation){case 0:this.x=x,this.y=y,this.width=width,this.height=height;break;case 90:{const[pageWidth,pageHeight]=this.parentDimensions;this.x=y,this.y=1-x,this.width=width*pageHeight/pageWidth,this.height=height*pageWidth/pageHeight;break}case 180:this.x=1-x,this.y=1-y,this.width=width,this.height=height;break;case 270:{const[pageWidth,
+pageHeight]=this.parentDimensions;this.x=1-y,this.y=x,this.width=width*pageHeight/pageWidth,this.height=height*pageWidth/pageHeight;break}}const{lastPoint}=this.#focusOutlines;this.#lastPoint=[(lastPoint[0]-x)/width,(lastPoint[1]-y)/height]}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager),HighlightEditor._defaultColor||=uiManager.highlightColors?.values().next().value||"#fff066"}static updateDefaultParams(type2,value){switch(type2){case AnnotationEditorParamsType.HIGHLIGHT_COLOR:
+HighlightEditor._defaultColor=value;break;case AnnotationEditorParamsType.HIGHLIGHT_THICKNESS:HighlightEditor._defaultThickness=value;break}}translateInPage(x,y){}get toolbarPosition(){return this.#lastPoint}updateParams(type2,value){switch(type2){case AnnotationEditorParamsType.HIGHLIGHT_COLOR:this.#updateColor(value);break;case AnnotationEditorParamsType.HIGHLIGHT_THICKNESS:this.#updateThickness(value);break}}static get defaultPropertiesToUpdate(){return[[AnnotationEditorParamsType.HIGHLIGHT_COLOR,
+HighlightEditor._defaultColor],[AnnotationEditorParamsType.HIGHLIGHT_THICKNESS,HighlightEditor._defaultThickness]]}get propertiesToUpdate(){return[[AnnotationEditorParamsType.HIGHLIGHT_COLOR,this.color||HighlightEditor._defaultColor],[AnnotationEditorParamsType.HIGHLIGHT_THICKNESS,this.#thickness||HighlightEditor._defaultThickness],[AnnotationEditorParamsType.HIGHLIGHT_FREE,this.#isFreeHighlight]]}#updateColor(color){const setColorAndOpacity=(col,opa)=>{this.color=col,this.#opacity=opa,this.parent?.
+drawLayer.updateProperties(this.#id,{root:{fill:col,"fill-opacity":opa}}),this.#colorPicker?.updateColor(col)},savedColor=this.color,savedOpacity=this.#opacity;this.addCommands({cmd:setColorAndOpacity.bind(this,color,HighlightEditor._defaultOpacity),undo:setColorAndOpacity.bind(this,savedColor,savedOpacity),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:AnnotationEditorParamsType.HIGHLIGHT_COLOR,overwriteIfSameType:!0,keepUndo:!0}),this._reportTelemetry({action:"color_\
+changed",color:this._uiManager.getNonHCMColorName(color)},!0)}#updateThickness(thickness){const savedThickness=this.#thickness,setThickness=th=>{this.#thickness=th,this.#changeThickness(th)};this.addCommands({cmd:setThickness.bind(this,thickness),undo:setThickness.bind(this,savedThickness),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:AnnotationEditorParamsType.INK_THICKNESS,overwriteIfSameType:!0,keepUndo:!0}),this._reportTelemetry({action:"thickness_changed",thickness},
+!0)}get toolbarButtons(){return this._uiManager.highlightColors?[["colorPicker",this.#colorPicker=new ColorPicker({editor:this})]]:super.toolbarButtons}disableEditing(){super.disableEditing(),this.div.classList.toggle("disabled",!0)}enableEditing(){super.enableEditing(),this.div.classList.toggle("disabled",!1)}fixAndSetPosition(){return super.fixAndSetPosition(this.#getRotation())}getBaseTranslation(){return[0,0]}getRect(tx,ty){return super.getRect(tx,ty,this.#getRotation())}onceAdded(focus2){this.
+annotationElementId||this.parent.addUndoableEditor(this),focus2&&this.div.focus()}remove(){this.#cleanDrawLayer(),this._reportTelemetry({action:"deleted"}),super.remove()}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.#addToDrawLayer(),this.isAttachedToDOM||this.parent.add(this)))}setParent(parent){let mustBeSelected=!1;this.parent&&!parent?this.#cleanDrawLayer():parent&&(this.#addToDrawLayer(parent),mustBeSelected=!this.parent&&this.div?.classList.contains("selectedEditor")),super.
+setParent(parent),this.show(this._isVisible),mustBeSelected&&this.select()}#changeThickness(thickness){if(!this.#isFreeHighlight)return;this.#createFreeOutlines({highlightOutlines:this.#highlightOutlines.getNewOutline(thickness/2)}),this.fixAndSetPosition();const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(this.width*parentWidth,this.height*parentHeight)}#cleanDrawLayer(){this.#id===null||!this.parent||(this.parent.drawLayer.remove(this.#id),this.#id=null,this.parent.drawLayer.remove(
+this.#outlineId),this.#outlineId=null)}#addToDrawLayer(parent=this.parent){this.#id===null&&({id:this.#id,clipPathId:this.#clipPathId}=parent.drawLayer.draw({bbox:this.#highlightOutlines.box,root:{viewBox:"0 0 1 1",fill:this.color,"fill-opacity":this.#opacity},rootClass:{highlight:!0,free:this.#isFreeHighlight},path:{d:this.#highlightOutlines.toSVGPath()}},!1,!0),this.#outlineId=parent.drawLayer.drawOutline({rootClass:{highlightOutline:!0,free:this.#isFreeHighlight},bbox:this.#focusOutlines.box,
+path:{d:this.#focusOutlines.toSVGPath()}},this.#isFreeHighlight),this.#highlightDiv&&(this.#highlightDiv.style.clipPath=this.#clipPathId))}static#rotateBbox([x,y,width,height],angle){switch(angle){case 90:return[1-y-height,x,height,width];case 180:return[1-x-width,1-y-height,width,height];case 270:return[y,1-x-width,height,width]}return[x,y,width,height]}rotate(angle){const{drawLayer}=this.parent;let box2;this.#isFreeHighlight?(angle=(angle-this.rotation+360)%360,box2=HighlightEditor.#rotateBbox(
+this.#highlightOutlines.box,angle)):box2=HighlightEditor.#rotateBbox([this.x,this.y,this.width,this.height],angle),drawLayer.updateProperties(this.#id,{bbox:box2,root:{"data-main-rotation":angle}}),drawLayer.updateProperties(this.#outlineId,{bbox:HighlightEditor.#rotateBbox(this.#focusOutlines.box,angle),root:{"data-main-rotation":angle}})}render(){if(this.div)return this.div;const div=super.render();this.#text&&(div.setAttribute("aria-label",this.#text),div.setAttribute("role","mark")),this.#isFreeHighlight?
+div.classList.add("free"):this.div.addEventListener("keydown",this.#keydown.bind(this),{signal:this._uiManager._signal});const highlightDiv=this.#highlightDiv=document.createElement("div");div.append(highlightDiv),highlightDiv.setAttribute("aria-hidden","true"),highlightDiv.className="internal",highlightDiv.style.clipPath=this.#clipPathId;const[parentWidth,parentHeight]=this.parentDimensions;return this.setDims(this.width*parentWidth,this.height*parentHeight),bindEvents(this,this.#highlightDiv,[
+"pointerover","pointerleave"]),this.enableEditing(),div}pointerover(){this.isSelected||this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{hovered:!0}})}pointerleave(){this.isSelected||this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{hovered:!1}})}#keydown(event2){HighlightEditor._keyboardManager.exec(this,event2)}_moveCaret(direction){switch(this.parent.unselect(this),direction){case 0:case 2:this.#setCaret(!0);break;case 1:case 3:this.#setCaret(!1);break}}#setCaret(start2){
+if(!this.#anchorNode)return;const selection=window.getSelection();start2?selection.setPosition(this.#anchorNode,this.#anchorOffset):selection.setPosition(this.#focusNode,this.#focusOffset)}select(){super.select(),this.#outlineId&&this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{hovered:!1,selected:!0}})}unselect(){super.unselect(),this.#outlineId&&(this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{selected:!1}}),this.#isFreeHighlight||this.#setCaret(!1))}get _mustFixPosition(){
+return!this.#isFreeHighlight}show(visible=this._isVisible){super.show(visible),this.parent&&(this.parent.drawLayer.updateProperties(this.#id,{rootClass:{hidden:!visible}}),this.parent.drawLayer.updateProperties(this.#outlineId,{rootClass:{hidden:!visible}}))}#getRotation(){return this.#isFreeHighlight?this.rotation:0}#serializeBoxes(){if(this.#isFreeHighlight)return null;const[pageWidth,pageHeight]=this.pageDimensions,[pageX,pageY]=this.pageTranslation,boxes=this.#boxes,quadPoints=new Float32Array(
+boxes.length*8);let i=0;for(const{x,y,width,height}of boxes){const sx=x*pageWidth+pageX,sy=(1-y)*pageHeight+pageY;quadPoints[i]=quadPoints[i+4]=sx,quadPoints[i+1]=quadPoints[i+3]=sy,quadPoints[i+2]=quadPoints[i+6]=sx+width*pageWidth,quadPoints[i+5]=quadPoints[i+7]=sy-height*pageHeight,i+=8}return quadPoints}#serializeOutlines(rect){return this.#highlightOutlines.serialize(rect,this.#getRotation())}static startHighlighting(parent,isLTR,{target:textLayer,x,y}){const{x:layerX,y:layerY,width:parentWidth,
+height:parentHeight}=textLayer.getBoundingClientRect(),ac=new AbortController,signal=parent.combinedSignal(ac),pointerUpCallback=e=>{ac.abort(),this.#endHighlight(parent,e)};window.addEventListener("blur",pointerUpCallback,{signal}),window.addEventListener("pointerup",pointerUpCallback,{signal}),window.addEventListener("pointerdown",stopEvent,{capture:!0,passive:!1,signal}),window.addEventListener("contextmenu",noContextMenu,{signal}),textLayer.addEventListener("pointermove",this.#highlightMove.
+bind(this,parent),{signal}),this._freeHighlight=new FreeHighlightOutliner({x,y},[layerX,layerY,parentWidth,parentHeight],parent.scale,this._defaultThickness/2,isLTR,.001),{id:this._freeHighlightId,clipPathId:this._freeHighlightClipId}=parent.drawLayer.draw({bbox:[0,0,1,1],root:{viewBox:"0 0 1 1",fill:this._defaultColor,"fill-opacity":this._defaultOpacity},rootClass:{highlight:!0,free:!0},path:{d:this._freeHighlight.toSVGPath()}},!0,!0)}static#highlightMove(parent,event2){this._freeHighlight.add(
+event2)&&parent.drawLayer.updateProperties(this._freeHighlightId,{path:{d:this._freeHighlight.toSVGPath()}})}static#endHighlight(parent,event2){this._freeHighlight.isEmpty()?parent.drawLayer.remove(this._freeHighlightId):parent.createAndAddNewEditor(event2,!1,{highlightId:this._freeHighlightId,highlightOutlines:this._freeHighlight.getOutlines(),clipPathId:this._freeHighlightClipId,methodOfCreation:"main_toolbar"}),this._freeHighlightId=-1,this._freeHighlight=null,this._freeHighlightClipId=""}static async deserialize(data,parent,uiManager){
+let initialData=null;if(data instanceof HighlightAnnotationElement){const{data:{quadPoints:quadPoints2,rect,rotation,id:id2,color:color2,opacity:opacity2,popupRef,contentsObj},parent:{page:{pageNumber}}}=data;initialData=data={annotationType:AnnotationEditorType.HIGHLIGHT,color:Array.from(color2),opacity:opacity2,quadPoints:quadPoints2,boxes:null,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}else if(data instanceof
+InkAnnotationElement){const{data:{inkLists:inkLists2,rect,rotation,id:id2,color:color2,borderStyle:{rawWidth:thickness},popupRef,contentsObj},parent:{page:{pageNumber}}}=data;initialData=data={annotationType:AnnotationEditorType.HIGHLIGHT,color:Array.from(color2),thickness,inkLists:inkLists2,boxes:null,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}const{color,quadPoints,inkLists,opacity}=data,editor=await super.
+deserialize(data,parent,uiManager);editor.color=Util.makeHexColor(...color),editor.#opacity=opacity||1,inkLists&&(editor.#thickness=data.thickness),editor._initialData=initialData,data.comment&&editor.setCommentData(data.comment);const[pageWidth,pageHeight]=editor.pageDimensions,[pageX,pageY]=editor.pageTranslation;if(quadPoints){const boxes=editor.#boxes=[];for(let i=0;i<quadPoints.length;i+=8)boxes.push({x:(quadPoints[i]-pageX)/pageWidth,y:1-(quadPoints[i+1]-pageY)/pageHeight,width:(quadPoints[i+
+2]-quadPoints[i])/pageWidth,height:(quadPoints[i+1]-quadPoints[i+5])/pageHeight});editor.#createOutlines(),editor.#addToDrawLayer(),editor.rotate(editor.rotation)}else if(inkLists){editor.#isFreeHighlight=!0;const points=inkLists[0],point2={x:points[0]-pageX,y:pageHeight-(points[1]-pageY)},outliner=new FreeHighlightOutliner(point2,[0,0,pageWidth,pageHeight],1,editor.#thickness/2,!0,.001);for(let i=0,ii=points.length;i<ii;i+=2)point2.x=points[i]-pageX,point2.y=pageHeight-(points[i+1]-pageY),outliner.
+add(point2);const{id:id2,clipPathId}=parent.drawLayer.draw({bbox:[0,0,1,1],root:{viewBox:"0 0 1 1",fill:editor.color,"fill-opacity":editor._defaultOpacity},rootClass:{highlight:!0,free:!0},path:{d:outliner.toSVGPath()}},!0,!0);editor.#createFreeOutlines({highlightOutlines:outliner.getOutlines(),highlightId:id2,clipPathId}),editor.#addToDrawLayer(),editor.rotate(editor.parentRotation)}return editor}serialize(isForCopying=!1){if(this.isEmpty()||isForCopying)return null;if(this.deleted)return this.
+serializeDeleted();const rect=this.getRect(0,0),color=AnnotationEditor._colorManager.convert(this._uiManager.getNonHCMColor(this.color)),serialized={annotationType:AnnotationEditorType.HIGHLIGHT,color,opacity:this.#opacity,thickness:this.#thickness,quadPoints:this.#serializeBoxes(),outlines:this.#serializeOutlines(rect),pageIndex:this.pageIndex,rect,rotation:this.#getRotation(),structTreeParentId:this._structTreeParentId};return this.addComment(serialized),this.annotationElementId&&!this.#hasElementChanged(
+serialized)?null:(serialized.id=this.annotationElementId,serialized)}#hasElementChanged(serialized){const{color}=this._initialData;return this.hasEditedComment||serialized.color.some((c2,i)=>c2!==color[i])}renderAnnotationElement(annotation){const params={rect:this.getRect(0,0)};return this.hasEditedComment&&(params.popup=this.comment),annotation.updateEdited(params),null}static canCreateNewEmptyEditor(){return!1}}class DrawingOptions{#svgProperties=Object.create(null);updateProperty(name,value){
+this[name]=value,this.updateSVGProperty(name,value)}updateProperties(properties2){if(properties2)for(const[name,value]of Object.entries(properties2))name.startsWith("_")||this.updateProperty(name,value)}updateSVGProperty(name,value){this.#svgProperties[name]=value}toSVGProperties(){const root2=this.#svgProperties;return this.#svgProperties=Object.create(null),{root:root2}}reset(){this.#svgProperties=Object.create(null)}updateAll(options=this){this.updateProperties(options)}clone(){unreachable("N\
+ot implemented")}}class DrawingEditor extends AnnotationEditor{#drawOutlines=null;#mustBeCommitted;_colorPicker=null;_drawId=null;static _currentDrawId=-1;static _currentParent=null;static#currentDraw=null;static#currentDrawingAC=null;static#currentDrawingOptions=null;static#currentPointerId=NaN;static#currentPointerType=null;static#currentPointerIds=null;static#currentMoveTimestamp=NaN;static _INNER_MARGIN=3;constructor(params){super(params),this.#mustBeCommitted=params.mustBeCommitted||!1,this.
+_addOutlines(params)}_addOutlines(params){params.drawOutlines&&(this.#createDrawOutlines(params),this.#addToDrawLayer())}#createDrawOutlines({drawOutlines,drawId,drawingOptions}){this.#drawOutlines=drawOutlines,this._drawingOptions||=drawingOptions,this.annotationElementId||this._uiManager.a11yAlert(`pdfjs-editor-${this.editorType}-added-alert`),drawId>=0?(this._drawId=drawId,this.parent.drawLayer.finalizeDraw(drawId,drawOutlines.defaultProperties)):this._drawId=this.#createDrawing(drawOutlines,
+this.parent),this.#updateBbox(drawOutlines.box)}#createDrawing(drawOutlines,parent){const{id:id2}=parent.drawLayer.draw(DrawingEditor._mergeSVGProperties(this._drawingOptions.toSVGProperties(),drawOutlines.defaultSVGProperties),!1,!1);return id2}static _mergeSVGProperties(p1,p2){const p1Keys=new Set(Object.keys(p1));for(const[key2,value]of Object.entries(p2))p1Keys.has(key2)?Object.assign(p1[key2],value):p1[key2]=value;return p1}static getDefaultDrawingOptions(_options){unreachable("Not implemen\
+ted")}static get typesMap(){unreachable("Not implemented")}static get isDrawer(){return!0}static get supportMultipleDrawings(){return!1}static updateDefaultParams(type2,value){const propertyName=this.typesMap.get(type2);propertyName&&this._defaultDrawingOptions.updateProperty(propertyName,value),this._currentParent&&(DrawingEditor.#currentDraw.updateProperty(propertyName,value),this._currentParent.drawLayer.updateProperties(this._currentDrawId,this._defaultDrawingOptions.toSVGProperties()))}updateParams(type2,value){
+const propertyName=this.constructor.typesMap.get(type2);propertyName&&this._updateProperty(type2,propertyName,value)}static get defaultPropertiesToUpdate(){const properties2=[],options=this._defaultDrawingOptions;for(const[type2,name]of this.typesMap)properties2.push([type2,options[name]]);return properties2}get propertiesToUpdate(){const properties2=[],{_drawingOptions}=this;for(const[type2,name]of this.constructor.typesMap)properties2.push([type2,_drawingOptions[name]]);return properties2}_updateProperty(type2,name,value){
+const options=this._drawingOptions,savedValue=options[name],setter=val=>{options.updateProperty(name,val);const bbox=this.#drawOutlines.updateProperty(name,val);bbox&&this.#updateBbox(bbox),this.parent?.drawLayer.updateProperties(this._drawId,options.toSVGProperties()),type2===this.colorType&&this._colorPicker?.update(val)};this.addCommands({cmd:setter.bind(this,value),undo:setter.bind(this,savedValue),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:type2,overwriteIfSameType:!0,
+keepUndo:!0})}_onResizing(){this.parent?.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties(this.#drawOutlines.getPathResizingSVGProperties(this.#convertToDrawSpace()),{bbox:this.#rotateBox()}))}_onResized(){this.parent?.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties(this.#drawOutlines.getPathResizedSVGProperties(this.#convertToDrawSpace()),{bbox:this.#rotateBox()}))}_onTranslating(_x,_y){this.parent?.drawLayer.updateProperties(this._drawId,{bbox:this.#rotateBox()})}_onTranslated(){
+this.parent?.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties(this.#drawOutlines.getPathTranslatedSVGProperties(this.#convertToDrawSpace(),this.parentDimensions),{bbox:this.#rotateBox()}))}_onStartDragging(){this.parent?.drawLayer.updateProperties(this._drawId,{rootClass:{moving:!0}})}_onStopDragging(){this.parent?.drawLayer.updateProperties(this._drawId,{rootClass:{moving:!1}})}commit(){super.commit(),this.disableEditMode(),this.disableEditing()}disableEditing(){super.disableEditing(),
+this.div.classList.toggle("disabled",!0)}enableEditing(){super.enableEditing(),this.div.classList.toggle("disabled",!1)}getBaseTranslation(){return[0,0]}get isResizable(){return!0}onceAdded(focus2){this.annotationElementId||this.parent.addUndoableEditor(this),this._isDraggable=!0,this.#mustBeCommitted&&(this.#mustBeCommitted=!1,this.commit(),this.parent.setSelected(this),focus2&&this.isOnScreen&&this.div.focus())}remove(){this.#cleanDrawLayer(),super.remove()}rebuild(){this.parent&&(super.rebuild(),
+this.div!==null&&(this.#addToDrawLayer(),this.#updateBbox(this.#drawOutlines.box),this.isAttachedToDOM||this.parent.add(this)))}setParent(parent){let mustBeSelected=!1;this.parent&&!parent?(this._uiManager.removeShouldRescale(this),this.#cleanDrawLayer()):parent&&(this._uiManager.addShouldRescale(this),this.#addToDrawLayer(parent),mustBeSelected=!this.parent&&this.div?.classList.contains("selectedEditor")),super.setParent(parent),mustBeSelected&&this.select()}#cleanDrawLayer(){this._drawId===null||
+!this.parent||(this.parent.drawLayer.remove(this._drawId),this._drawId=null,this._drawingOptions.reset())}#addToDrawLayer(parent=this.parent){if(!(this._drawId!==null&&this.parent===parent)){if(this._drawId!==null){this.parent.drawLayer.updateParent(this._drawId,parent.drawLayer);return}this._drawingOptions.updateAll(),this._drawId=this.#createDrawing(this.#drawOutlines,parent)}}#convertToParentSpace([x,y,width,height]){const{parentDimensions:[pW,pH],rotation}=this;switch(rotation){case 90:return[
+y,1-x,width*(pH/pW),height*(pW/pH)];case 180:return[1-x,1-y,width,height];case 270:return[1-y,x,width*(pH/pW),height*(pW/pH)];default:return[x,y,width,height]}}#convertToDrawSpace(){const{x,y,width,height,parentDimensions:[pW,pH],rotation}=this;switch(rotation){case 90:return[1-y,x,width*(pW/pH),height*(pH/pW)];case 180:return[1-x,1-y,width,height];case 270:return[y,1-x,width*(pW/pH),height*(pH/pW)];default:return[x,y,width,height]}}#updateBbox(bbox){if([this.x,this.y,this.width,this.height]=this.#convertToParentSpace(
+bbox),this.div){this.fixAndSetPosition();const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(this.width*parentWidth,this.height*parentHeight)}this._onResized()}#rotateBox(){const{x,y,width,height,rotation,parentRotation,parentDimensions:[pW,pH]}=this;switch((rotation*4+parentRotation)/90){case 1:return[1-y-height,x,height,width];case 2:return[1-x-width,1-y-height,width,height];case 3:return[y,1-x-width,height,width];case 4:return[x,y-width*(pW/pH),height*(pH/pW),width*(pW/pH)];case 5:
+return[1-y,x,width*(pW/pH),height*(pH/pW)];case 6:return[1-x-height*(pH/pW),1-y,height*(pH/pW),width*(pW/pH)];case 7:return[y-width*(pW/pH),1-x-height*(pH/pW),width*(pW/pH),height*(pH/pW)];case 8:return[x-width,y-height,width,height];case 9:return[1-y,x-width,height,width];case 10:return[1-x,1-y,width,height];case 11:return[y-height,1-x,height,width];case 12:return[x-height*(pH/pW),y,height*(pH/pW),width*(pW/pH)];case 13:return[1-y-width*(pW/pH),x-height*(pH/pW),width*(pW/pH),height*(pH/pW)];case 14:
+return[1-x,1-y-width*(pW/pH),height*(pH/pW),width*(pW/pH)];case 15:return[y,1-x,width*(pW/pH),height*(pH/pW)];default:return[x,y,width,height]}}rotate(){this.parent&&this.parent.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties({bbox:this.#rotateBox()},this.#drawOutlines.updateRotation((this.parentRotation-this.rotation+360)%360)))}onScaleChanging(){this.parent&&this.#updateBbox(this.#drawOutlines.updateParentDimensions(this.parentDimensions,this.parent.scale))}static onScaleChangingWhenDrawing(){}render(){
+if(this.div)return this.div;let baseX,baseY;this._isCopy&&(baseX=this.x,baseY=this.y);const div=super.render();div.classList.add("draw");const drawDiv=document.createElement("div");div.append(drawDiv),drawDiv.setAttribute("aria-hidden","true"),drawDiv.className="internal";const[parentWidth,parentHeight]=this.parentDimensions;return this.setDims(this.width*parentWidth,this.height*parentHeight),this._uiManager.addShouldRescale(this),this.disableEditing(),this._isCopy&&this._moveAfterPaste(baseX,baseY),
+div}static createDrawerInstance(_x,_y,_parentWidth,_parentHeight,_rotation){unreachable("Not implemented")}static startDrawing(parent,uiManager,_isLTR,event2){const{target:target2,offsetX:x,offsetY:y,pointerId,pointerType}=event2;if(DrawingEditor.#currentPointerType&&DrawingEditor.#currentPointerType!==pointerType)return;const{viewport:{rotation}}=parent,{width:parentWidth,height:parentHeight}=target2.getBoundingClientRect(),ac=DrawingEditor.#currentDrawingAC=new AbortController,signal=parent.combinedSignal(
+ac);if(DrawingEditor.#currentPointerId||=pointerId,DrawingEditor.#currentPointerType??=pointerType,window.addEventListener("pointerup",e=>{DrawingEditor.#currentPointerId===e.pointerId?this._endDraw(e):DrawingEditor.#currentPointerIds?.delete(e.pointerId)},{signal}),window.addEventListener("pointercancel",e=>{DrawingEditor.#currentPointerId===e.pointerId?this._currentParent.endDrawingSession():DrawingEditor.#currentPointerIds?.delete(e.pointerId)},{signal}),window.addEventListener("pointerdown",
+e=>{DrawingEditor.#currentPointerType===e.pointerType&&((DrawingEditor.#currentPointerIds||=new Set).add(e.pointerId),DrawingEditor.#currentDraw.isCancellable()&&(DrawingEditor.#currentDraw.removeLastElement(),DrawingEditor.#currentDraw.isEmpty()?this._currentParent.endDrawingSession(!0):this._endDraw(null)))},{capture:!0,passive:!1,signal}),window.addEventListener("contextmenu",noContextMenu,{signal}),target2.addEventListener("pointermove",this._drawMove.bind(this),{signal}),target2.addEventListener(
+"touchmove",e=>{e.timeStamp===DrawingEditor.#currentMoveTimestamp&&stopEvent(e)},{signal}),parent.toggleDrawing(),uiManager._editorUndoBar?.hide(),DrawingEditor.#currentDraw){parent.drawLayer.updateProperties(this._currentDrawId,DrawingEditor.#currentDraw.startNew(x,y,parentWidth,parentHeight,rotation));return}uiManager.updateUIForDefaultProperties(this),DrawingEditor.#currentDraw=this.createDrawerInstance(x,y,parentWidth,parentHeight,rotation),DrawingEditor.#currentDrawingOptions=this.getDefaultDrawingOptions(),
+this._currentParent=parent,{id:this._currentDrawId}=parent.drawLayer.draw(this._mergeSVGProperties(DrawingEditor.#currentDrawingOptions.toSVGProperties(),DrawingEditor.#currentDraw.defaultSVGProperties),!0,!1)}static _drawMove(event2){if(DrawingEditor.#currentMoveTimestamp=-1,!DrawingEditor.#currentDraw)return;const{offsetX,offsetY,pointerId}=event2;if(DrawingEditor.#currentPointerId===pointerId){if(DrawingEditor.#currentPointerIds?.size>=1){this._endDraw(event2);return}this._currentParent.drawLayer.
+updateProperties(this._currentDrawId,DrawingEditor.#currentDraw.add(offsetX,offsetY)),DrawingEditor.#currentMoveTimestamp=event2.timeStamp,stopEvent(event2)}}static _cleanup(all2){all2&&(this._currentDrawId=-1,this._currentParent=null,DrawingEditor.#currentDraw=null,DrawingEditor.#currentDrawingOptions=null,DrawingEditor.#currentPointerType=null,DrawingEditor.#currentMoveTimestamp=NaN),DrawingEditor.#currentDrawingAC&&(DrawingEditor.#currentDrawingAC.abort(),DrawingEditor.#currentDrawingAC=null,
+DrawingEditor.#currentPointerId=NaN,DrawingEditor.#currentPointerIds=null)}static _endDraw(event2){const parent=this._currentParent;if(parent){if(parent.toggleDrawing(!0),this._cleanup(!1),event2?.target===parent.div&&parent.drawLayer.updateProperties(this._currentDrawId,DrawingEditor.#currentDraw.end(event2.offsetX,event2.offsetY)),this.supportMultipleDrawings){const draw=DrawingEditor.#currentDraw,drawId=this._currentDrawId,lastElement=draw.getLastElement();parent.addCommands({cmd:()=>{parent.
+drawLayer.updateProperties(drawId,draw.setLastElement(lastElement))},undo:()=>{parent.drawLayer.updateProperties(drawId,draw.removeLastElement())},mustExec:!1,type:AnnotationEditorParamsType.DRAW_STEP});return}this.endDrawing(!1)}}static endDrawing(isAborted){const parent=this._currentParent;if(!parent)return null;if(parent.toggleDrawing(!0),parent.cleanUndoStack(AnnotationEditorParamsType.DRAW_STEP),!DrawingEditor.#currentDraw.isEmpty()){const{pageDimensions:[pageWidth,pageHeight],scale:scale2}=parent,
+editor=parent.createAndAddNewEditor({offsetX:0,offsetY:0},!1,{drawId:this._currentDrawId,drawOutlines:DrawingEditor.#currentDraw.getOutlines(pageWidth*scale2,pageHeight*scale2,scale2,this._INNER_MARGIN),drawingOptions:DrawingEditor.#currentDrawingOptions,mustBeCommitted:!isAborted});return this._cleanup(!0),editor}return parent.drawLayer.remove(this._currentDrawId),this._cleanup(!0),null}createDrawingOptions(_data){}static deserializeDraw(_pageX,_pageY,_pageWidth,_pageHeight,_innerWidth,_data){unreachable(
+"Not implemented")}static async deserialize(data,parent,uiManager){const{rawDims:{pageWidth,pageHeight,pageX,pageY}}=parent.viewport,drawOutlines=this.deserializeDraw(pageX,pageY,pageWidth,pageHeight,this._INNER_MARGIN,data),editor=await super.deserialize(data,parent,uiManager);return editor.createDrawingOptions(data),editor.#createDrawOutlines({drawOutlines}),editor.#addToDrawLayer(),editor.onScaleChanging(),editor.rotate(),editor}serializeDraw(isForCopying){const[pageX,pageY]=this.pageTranslation,
+[pageWidth,pageHeight]=this.pageDimensions;return this.#drawOutlines.serialize([pageX,pageY,pageWidth,pageHeight],isForCopying)}renderAnnotationElement(annotation){return annotation.updateEdited({rect:this.getRect(0,0)}),null}static canCreateNewEmptyEditor(){return!1}}class InkDrawOutliner{#last=new Float64Array(6);#line;#lines;#rotation;#thickness;#points;#lastSVGPath="";#lastIndex=0;#outlines=new InkDrawOutline;#parentWidth;#parentHeight;constructor(x,y,parentWidth,parentHeight,rotation,thickness){
+this.#parentWidth=parentWidth,this.#parentHeight=parentHeight,this.#rotation=rotation,this.#thickness=thickness,[x,y]=this.#normalizePoint(x,y);const line=this.#line=[NaN,NaN,NaN,NaN,x,y];this.#points=[x,y],this.#lines=[{line,points:this.#points}],this.#last.set(line,0)}updateProperty(name,value){name==="stroke-width"&&(this.#thickness=value)}#normalizePoint(x,y){return Outline._normalizePoint(x,y,this.#parentWidth,this.#parentHeight,this.#rotation)}isEmpty(){return!this.#lines||this.#lines.length===
+0}isCancellable(){return this.#points.length<=10}add(x,y){[x,y]=this.#normalizePoint(x,y);const[x1,y1,x2,y2]=this.#last.subarray(2,6),diffX=x-x2,diffY=y-y2;return Math.hypot(this.#parentWidth*diffX,this.#parentHeight*diffY)<=2?null:(this.#points.push(x,y),isNaN(x1)?(this.#last.set([x2,y2,x,y],2),this.#line.push(NaN,NaN,NaN,NaN,x,y),{path:{d:this.toSVGPath()}}):(isNaN(this.#last[0])&&this.#line.splice(6,6),this.#last.set([x1,y1,x2,y2,x,y],0),this.#line.push(...Outline.createBezierPoints(x1,y1,x2,
+y2,x,y)),{path:{d:this.toSVGPath()}}))}end(x,y){const change=this.add(x,y);return change||(this.#points.length===2?{path:{d:this.toSVGPath()}}:null)}startNew(x,y,parentWidth,parentHeight,rotation){this.#parentWidth=parentWidth,this.#parentHeight=parentHeight,this.#rotation=rotation,[x,y]=this.#normalizePoint(x,y);const line=this.#line=[NaN,NaN,NaN,NaN,x,y];this.#points=[x,y];const last=this.#lines.at(-1);return last&&(last.line=new Float32Array(last.line),last.points=new Float32Array(last.points)),
+this.#lines.push({line,points:this.#points}),this.#last.set(line,0),this.#lastIndex=0,this.toSVGPath(),null}getLastElement(){return this.#lines.at(-1)}setLastElement(element2){return this.#lines?(this.#lines.push(element2),this.#line=element2.line,this.#points=element2.points,this.#lastIndex=0,{path:{d:this.toSVGPath()}}):this.#outlines.setLastElement(element2)}removeLastElement(){if(!this.#lines)return this.#outlines.removeLastElement();this.#lines.pop(),this.#lastSVGPath="";for(let i=0,ii=this.#lines.
+length;i<ii;i++){const{line,points}=this.#lines[i];this.#line=line,this.#points=points,this.#lastIndex=0,this.toSVGPath()}return{path:{d:this.#lastSVGPath}}}toSVGPath(){const firstX=Outline.svgRound(this.#line[4]),firstY=Outline.svgRound(this.#line[5]);if(this.#points.length===2)return this.#lastSVGPath=`${this.#lastSVGPath} M ${firstX} ${firstY} Z`,this.#lastSVGPath;if(this.#points.length<=6){const i=this.#lastSVGPath.lastIndexOf("M");this.#lastSVGPath=`${this.#lastSVGPath.slice(0,i)} M ${firstX}\
+ ${firstY}`,this.#lastIndex=6}if(this.#points.length===4){const secondX=Outline.svgRound(this.#line[10]),secondY=Outline.svgRound(this.#line[11]);return this.#lastSVGPath=`${this.#lastSVGPath} L ${secondX} ${secondY}`,this.#lastIndex=12,this.#lastSVGPath}const buffer=[];this.#lastIndex===0&&(buffer.push(`M ${firstX} ${firstY}`),this.#lastIndex=6);for(let i=this.#lastIndex,ii=this.#line.length;i<ii;i+=6){const[c1x,c1y,c2x,c2y,x,y]=this.#line.slice(i,i+6).map(Outline.svgRound);buffer.push(`C${c1x}\
+ ${c1y} ${c2x} ${c2y} ${x} ${y}`)}return this.#lastSVGPath+=buffer.join(" "),this.#lastIndex=this.#line.length,this.#lastSVGPath}getOutlines(parentWidth,parentHeight,scale2,innerMargin){const last=this.#lines.at(-1);return last.line=new Float32Array(last.line),last.points=new Float32Array(last.points),this.#outlines.build(this.#lines,parentWidth,parentHeight,scale2,this.#rotation,this.#thickness,innerMargin),this.#last=null,this.#line=null,this.#lines=null,this.#lastSVGPath=null,this.#outlines}get defaultSVGProperties(){
+return{root:{viewBox:"0 0 10000 10000"},rootClass:{draw:!0},bbox:[0,0,1,1]}}}class InkDrawOutline extends Outline{#bbox;#currentRotation=0;#innerMargin;#lines;#parentWidth;#parentHeight;#parentScale;#rotation;#thickness;build(lines,parentWidth,parentHeight,parentScale,rotation,thickness,innerMargin){this.#parentWidth=parentWidth,this.#parentHeight=parentHeight,this.#parentScale=parentScale,this.#rotation=rotation,this.#thickness=thickness,this.#innerMargin=innerMargin??0,this.#lines=lines,this.#computeBbox()}get thickness(){
+return this.#thickness}setLastElement(element2){return this.#lines.push(element2),{path:{d:this.toSVGPath()}}}removeLastElement(){return this.#lines.pop(),{path:{d:this.toSVGPath()}}}toSVGPath(){const buffer=[];for(const{line}of this.#lines){if(buffer.push(`M${Outline.svgRound(line[4])} ${Outline.svgRound(line[5])}`),line.length===6){buffer.push("Z");continue}if(line.length===12&&isNaN(line[6])){buffer.push(`L${Outline.svgRound(line[10])} ${Outline.svgRound(line[11])}`);continue}for(let i=6,ii=line.
+length;i<ii;i+=6){const[c1x,c1y,c2x,c2y,x,y]=line.subarray(i,i+6).map(Outline.svgRound);buffer.push(`C${c1x} ${c1y} ${c2x} ${c2y} ${x} ${y}`)}}return buffer.join("")}serialize([pageX,pageY,pageWidth,pageHeight],isForCopying){const serializedLines=[],serializedPoints=[],[x,y,width,height]=this.#getBBoxWithNoMargin();let tx,ty,sx,sy,x1,y1,x2,y2,rescaleFn;switch(this.#rotation){case 0:rescaleFn=Outline._rescale,tx=pageX,ty=pageY+pageHeight,sx=pageWidth,sy=-pageHeight,x1=pageX+x*pageWidth,y1=pageY+(1-
+y-height)*pageHeight,x2=pageX+(x+width)*pageWidth,y2=pageY+(1-y)*pageHeight;break;case 90:rescaleFn=Outline._rescaleAndSwap,tx=pageX,ty=pageY,sx=pageWidth,sy=pageHeight,x1=pageX+y*pageWidth,y1=pageY+x*pageHeight,x2=pageX+(y+height)*pageWidth,y2=pageY+(x+width)*pageHeight;break;case 180:rescaleFn=Outline._rescale,tx=pageX+pageWidth,ty=pageY,sx=-pageWidth,sy=pageHeight,x1=pageX+(1-x-width)*pageWidth,y1=pageY+y*pageHeight,x2=pageX+(1-x)*pageWidth,y2=pageY+(y+height)*pageHeight;break;case 270:rescaleFn=
+Outline._rescaleAndSwap,tx=pageX+pageWidth,ty=pageY+pageHeight,sx=-pageWidth,sy=-pageHeight,x1=pageX+(1-y-height)*pageWidth,y1=pageY+(1-x-width)*pageHeight,x2=pageX+(1-y)*pageWidth,y2=pageY+(1-x)*pageHeight;break}for(const{line,points}of this.#lines)serializedLines.push(rescaleFn(line,tx,ty,sx,sy,isForCopying?new Array(line.length):null)),serializedPoints.push(rescaleFn(points,tx,ty,sx,sy,isForCopying?new Array(points.length):null));return{lines:serializedLines,points:serializedPoints,rect:[x1,y1,
+x2,y2]}}static deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,{paths:{lines,points},rotation,thickness}){const newLines=[];let tx,ty,sx,sy,rescaleFn;switch(rotation){case 0:rescaleFn=Outline._rescale,tx=-pageX/pageWidth,ty=pageY/pageHeight+1,sx=1/pageWidth,sy=-1/pageHeight;break;case 90:rescaleFn=Outline._rescaleAndSwap,tx=-pageY/pageHeight,ty=-pageX/pageWidth,sx=1/pageHeight,sy=1/pageWidth;break;case 180:rescaleFn=Outline._rescale,tx=pageX/pageWidth+1,ty=-pageY/pageHeight,sx=-1/pageWidth,
+sy=1/pageHeight;break;case 270:rescaleFn=Outline._rescaleAndSwap,tx=pageY/pageHeight+1,ty=pageX/pageWidth+1,sx=-1/pageHeight,sy=-1/pageWidth;break}if(!lines){lines=[];for(const point2 of points){const len=point2.length;if(len===2){lines.push(new Float32Array([NaN,NaN,NaN,NaN,point2[0],point2[1]]));continue}if(len===4){lines.push(new Float32Array([NaN,NaN,NaN,NaN,point2[0],point2[1],NaN,NaN,NaN,NaN,point2[2],point2[3]]));continue}const line=new Float32Array(3*(len-2));lines.push(line);let[x1,y1,x2,
+y2]=point2.subarray(0,4);line.set([NaN,NaN,NaN,NaN,x1,y1],0);for(let i=4;i<len;i+=2){const x=point2[i],y=point2[i+1];line.set(Outline.createBezierPoints(x1,y1,x2,y2,x,y),(i-2)*3),[x1,y1,x2,y2]=[x2,y2,x,y]}}}for(let i=0,ii=lines.length;i<ii;i++)newLines.push({line:rescaleFn(lines[i].map(x=>x??NaN),tx,ty,sx,sy),points:rescaleFn(points[i].map(x=>x??NaN),tx,ty,sx,sy)});const outlines=new this.prototype.constructor;return outlines.build(newLines,pageWidth,pageHeight,1,rotation,thickness,innerMargin),
+outlines}#getMarginComponents(thickness=this.#thickness){const margin=this.#innerMargin+thickness/2*this.#parentScale;return this.#rotation%180===0?[margin/this.#parentWidth,margin/this.#parentHeight]:[margin/this.#parentHeight,margin/this.#parentWidth]}#getBBoxWithNoMargin(){const[x,y,width,height]=this.#bbox,[marginX,marginY]=this.#getMarginComponents(0);return[x+marginX,y+marginY,width-2*marginX,height-2*marginY]}#computeBbox(){const bbox=this.#bbox=new Float32Array([1/0,1/0,-1/0,-1/0]);for(const{
+line}of this.#lines){if(line.length<=12){for(let i=4,ii=line.length;i<ii;i+=6)Util.pointBoundingBox(line[i],line[i+1],bbox);continue}let lastX=line[4],lastY=line[5];for(let i=6,ii=line.length;i<ii;i+=6){const[c1x,c1y,c2x,c2y,x,y]=line.subarray(i,i+6);Util.bezierBoundingBox(lastX,lastY,c1x,c1y,c2x,c2y,x,y,bbox),lastX=x,lastY=y}}const[marginX,marginY]=this.#getMarginComponents();bbox[0]=MathClamp(bbox[0]-marginX,0,1),bbox[1]=MathClamp(bbox[1]-marginY,0,1),bbox[2]=MathClamp(bbox[2]+marginX,0,1),bbox[3]=
+MathClamp(bbox[3]+marginY,0,1),bbox[2]-=bbox[0],bbox[3]-=bbox[1]}get box(){return this.#bbox}updateProperty(name,value){return name==="stroke-width"?this.#updateThickness(value):null}#updateThickness(thickness){const[oldMarginX,oldMarginY]=this.#getMarginComponents();this.#thickness=thickness;const[newMarginX,newMarginY]=this.#getMarginComponents(),[diffMarginX,diffMarginY]=[newMarginX-oldMarginX,newMarginY-oldMarginY],bbox=this.#bbox;return bbox[0]-=diffMarginX,bbox[1]-=diffMarginY,bbox[2]+=2*diffMarginX,
+bbox[3]+=2*diffMarginY,bbox}updateParentDimensions([width,height],scale2){const[oldMarginX,oldMarginY]=this.#getMarginComponents();this.#parentWidth=width,this.#parentHeight=height,this.#parentScale=scale2;const[newMarginX,newMarginY]=this.#getMarginComponents(),diffMarginX=newMarginX-oldMarginX,diffMarginY=newMarginY-oldMarginY,bbox=this.#bbox;return bbox[0]-=diffMarginX,bbox[1]-=diffMarginY,bbox[2]+=2*diffMarginX,bbox[3]+=2*diffMarginY,bbox}updateRotation(rotation){return this.#currentRotation=
+rotation,{path:{transform:this.rotationTransform}}}get viewBox(){return this.#bbox.map(Outline.svgRound).join(" ")}get defaultProperties(){const[x,y]=this.#bbox;return{root:{viewBox:this.viewBox},path:{"transform-origin":`${Outline.svgRound(x)} ${Outline.svgRound(y)}`}}}get rotationTransform(){const[,,width,height]=this.#bbox;let a=0,b=0,c2=0,d2=0,e=0,f=0;switch(this.#currentRotation){case 90:b=height/width,c2=-width/height,e=width;break;case 180:a=-1,d2=-1,e=width,f=height;break;case 270:b=-height/
+width,c2=width/height,f=height;break;default:return""}return`matrix(${a} ${b} ${c2} ${d2} ${Outline.svgRound(e)} ${Outline.svgRound(f)})`}getPathResizingSVGProperties([newX,newY,newWidth,newHeight]){const[marginX,marginY]=this.#getMarginComponents(),[x,y,width,height]=this.#bbox;if(Math.abs(width-marginX)<=Outline.PRECISION||Math.abs(height-marginY)<=Outline.PRECISION){const tx=newX+newWidth/2-(x+width/2),ty=newY+newHeight/2-(y+height/2);return{path:{"transform-origin":`${Outline.svgRound(newX)}\
+ ${Outline.svgRound(newY)}`,transform:`${this.rotationTransform} translate(${tx} ${ty})`}}}const s1x=(newWidth-2*marginX)/(width-2*marginX),s1y=(newHeight-2*marginY)/(height-2*marginY),s2x=width/newWidth,s2y=height/newHeight;return{path:{"transform-origin":`${Outline.svgRound(x)} ${Outline.svgRound(y)}`,transform:`${this.rotationTransform} scale(${s2x} ${s2y}) translate(${Outline.svgRound(marginX)} ${Outline.svgRound(marginY)}) scale(${s1x} ${s1y}) translate(${Outline.svgRound(-marginX)} ${Outline.
+svgRound(-marginY)})`}}}getPathResizedSVGProperties([newX,newY,newWidth,newHeight]){const[marginX,marginY]=this.#getMarginComponents(),bbox=this.#bbox,[x,y,width,height]=bbox;if(bbox[0]=newX,bbox[1]=newY,bbox[2]=newWidth,bbox[3]=newHeight,Math.abs(width-marginX)<=Outline.PRECISION||Math.abs(height-marginY)<=Outline.PRECISION){const tx2=newX+newWidth/2-(x+width/2),ty2=newY+newHeight/2-(y+height/2);for(const{line,points}of this.#lines)Outline._translate(line,tx2,ty2,line),Outline._translate(points,
+tx2,ty2,points);return{root:{viewBox:this.viewBox},path:{"transform-origin":`${Outline.svgRound(newX)} ${Outline.svgRound(newY)}`,transform:this.rotationTransform||null,d:this.toSVGPath()}}}const s1x=(newWidth-2*marginX)/(width-2*marginX),s1y=(newHeight-2*marginY)/(height-2*marginY),tx=-s1x*(x+marginX)+newX+marginX,ty=-s1y*(y+marginY)+newY+marginY;if(s1x!==1||s1y!==1||tx!==0||ty!==0)for(const{line,points}of this.#lines)Outline._rescale(line,tx,ty,s1x,s1y,line),Outline._rescale(points,tx,ty,s1x,s1y,
+points);return{root:{viewBox:this.viewBox},path:{"transform-origin":`${Outline.svgRound(newX)} ${Outline.svgRound(newY)}`,transform:this.rotationTransform||null,d:this.toSVGPath()}}}getPathTranslatedSVGProperties([newX,newY],parentDimensions){const[newParentWidth,newParentHeight]=parentDimensions,bbox=this.#bbox,tx=newX-bbox[0],ty=newY-bbox[1];if(this.#parentWidth===newParentWidth&&this.#parentHeight===newParentHeight)for(const{line,points}of this.#lines)Outline._translate(line,tx,ty,line),Outline.
+_translate(points,tx,ty,points);else{const sx=this.#parentWidth/newParentWidth,sy=this.#parentHeight/newParentHeight;this.#parentWidth=newParentWidth,this.#parentHeight=newParentHeight;for(const{line,points}of this.#lines)Outline._rescale(line,tx,ty,sx,sy,line),Outline._rescale(points,tx,ty,sx,sy,points);bbox[2]*=sx,bbox[3]*=sy}return bbox[0]=newX,bbox[1]=newY,{root:{viewBox:this.viewBox},path:{d:this.toSVGPath(),"transform-origin":`${Outline.svgRound(newX)} ${Outline.svgRound(newY)}`}}}get defaultSVGProperties(){
+const bbox=this.#bbox;return{root:{viewBox:this.viewBox},rootClass:{draw:!0},path:{d:this.toSVGPath(),"transform-origin":`${Outline.svgRound(bbox[0])} ${Outline.svgRound(bbox[1])}`,transform:this.rotationTransform||null},bbox}}}class InkDrawingOptions extends DrawingOptions{constructor(viewerParameters){super(),this._viewParameters=viewerParameters,super.updateProperties({fill:"none",stroke:AnnotationEditor._defaultLineColor,"stroke-opacity":1,"stroke-width":1,"stroke-linecap":"round","stroke-li\
+nejoin":"round","stroke-miterlimit":10})}updateSVGProperty(name,value){name==="stroke-width"&&(value??=this["stroke-width"],value*=this._viewParameters.realScale),super.updateSVGProperty(name,value)}clone(){const clone2=new InkDrawingOptions(this._viewParameters);return clone2.updateAll(this),clone2}}class InkEditor extends DrawingEditor{static _type="ink";static _editorType=AnnotationEditorType.INK;static _defaultDrawingOptions=null;constructor(params){super({...params,name:"inkEditor"}),this._willKeepAspectRatio=
+!0,this.defaultL10nId="pdfjs-editor-ink-editor"}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager),this._defaultDrawingOptions=new InkDrawingOptions(uiManager.viewParameters)}static getDefaultDrawingOptions(options){const clone2=this._defaultDrawingOptions.clone();return clone2.updateProperties(options),clone2}static get supportMultipleDrawings(){return!0}static get typesMap(){return shadow(this,"typesMap",new Map([[AnnotationEditorParamsType.INK_THICKNESS,"stroke-widt\
+h"],[AnnotationEditorParamsType.INK_COLOR,"stroke"],[AnnotationEditorParamsType.INK_OPACITY,"stroke-opacity"]]))}static createDrawerInstance(x,y,parentWidth,parentHeight,rotation){return new InkDrawOutliner(x,y,parentWidth,parentHeight,rotation,this._defaultDrawingOptions["stroke-width"])}static deserializeDraw(pageX,pageY,pageWidth,pageHeight,innerMargin,data){return InkDrawOutline.deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,data)}static async deserialize(data,parent,uiManager){let initialData=null;
+if(data instanceof InkAnnotationElement){const{data:{inkLists,rect,rotation,id:id2,color,opacity,borderStyle:{rawWidth:thickness},popupRef,contentsObj},parent:{page:{pageNumber}}}=data;initialData=data={annotationType:AnnotationEditorType.INK,color:Array.from(color),thickness,opacity,paths:{points:inkLists},boxes:null,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}const editor=await super.deserialize(data,parent,
+uiManager);return editor._initialData=initialData,data.comment&&editor.setCommentData(data.comment),editor}get toolbarButtons(){return this._colorPicker||=new BasicColorPicker(this),[["colorPicker",this._colorPicker]]}get colorType(){return AnnotationEditorParamsType.INK_COLOR}get colorValue(){return this._drawingOptions.stroke}onScaleChanging(){if(!this.parent)return;super.onScaleChanging();const{_drawId,_drawingOptions,parent}=this;_drawingOptions.updateSVGProperty("stroke-width"),parent.drawLayer.
+updateProperties(_drawId,_drawingOptions.toSVGProperties())}static onScaleChangingWhenDrawing(){const parent=this._currentParent;parent&&(super.onScaleChangingWhenDrawing(),this._defaultDrawingOptions.updateSVGProperty("stroke-width"),parent.drawLayer.updateProperties(this._currentDrawId,this._defaultDrawingOptions.toSVGProperties()))}createDrawingOptions({color,thickness,opacity}){this._drawingOptions=InkEditor.getDefaultDrawingOptions({stroke:Util.makeHexColor(...color),"stroke-width":thickness,
+"stroke-opacity":opacity})}serialize(isForCopying=!1){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const{lines,points,rect}=this.serializeDraw(isForCopying),{_drawingOptions:{stroke,"stroke-opacity":opacity,"stroke-width":thickness}}=this,serialized={annotationType:AnnotationEditorType.INK,color:AnnotationEditor._colorManager.convert(stroke),opacity,thickness,paths:{lines,points},pageIndex:this.pageIndex,rect,rotation:this.rotation,structTreeParentId:this._structTreeParentId};
+return this.addComment(serialized),isForCopying?(serialized.isCopy=!0,serialized):this.annotationElementId&&!this.#hasElementChanged(serialized)?null:(serialized.id=this.annotationElementId,serialized)}#hasElementChanged(serialized){const{color,thickness,opacity,pageIndex}=this._initialData;return this.hasEditedComment||this._hasBeenMoved||this._hasBeenResized||serialized.color.some((c2,i)=>c2!==color[i])||serialized.thickness!==thickness||serialized.opacity!==opacity||serialized.pageIndex!==pageIndex}renderAnnotationElement(annotation){
+const{points,rect}=this.serializeDraw(!1),params={rect,thickness:this._drawingOptions["stroke-width"],points};return this.hasEditedComment&&(params.popup=this.comment),annotation.updateEdited(params),null}}class ContourDrawOutline extends InkDrawOutline{toSVGPath(){let path2=super.toSVGPath();return path2.endsWith("Z")||(path2+="Z"),path2}}const BASE_HEADER_LENGTH=8,POINTS_PROPERTIES_NUMBER=3;class SignatureExtractor{static#PARAMETERS={maxDim:512,sigmaSFactor:.02,sigmaR:25,kernelSize:16};static#neighborIndexToId(i0,j0,i,j){
+return i-=i0,j-=j0,i===0?j>0?0:4:i===1?j+6:2-j}static#neighborIdToIndex=new Int32Array([0,1,-1,1,-1,0,-1,-1,0,-1,1,-1,1,0,1,1]);static#clockwiseNonZero(buf,width,i0,j0,i,j,offset2){const id2=this.#neighborIndexToId(i0,j0,i,j);for(let k=0;k<8;k++){const kk=(-k+id2-offset2+16)%8,shiftI=this.#neighborIdToIndex[2*kk],shiftJ=this.#neighborIdToIndex[2*kk+1];if(buf[(i0+shiftI)*width+(j0+shiftJ)]!==0)return kk}return-1}static#counterClockwiseNonZero(buf,width,i0,j0,i,j,offset2){const id2=this.#neighborIndexToId(
+i0,j0,i,j);for(let k=0;k<8;k++){const kk=(k+id2+offset2+16)%8,shiftI=this.#neighborIdToIndex[2*kk],shiftJ=this.#neighborIdToIndex[2*kk+1];if(buf[(i0+shiftI)*width+(j0+shiftJ)]!==0)return kk}return-1}static#findContours(buf,width,height,threshold){const N=buf.length,types2=new Int32Array(N);for(let i=0;i<N;i++)types2[i]=buf[i]<=threshold?1:0;for(let i=1;i<height-1;i++)types2[i*width]=types2[i*width+width-1]=0;for(let i=0;i<width;i++)types2[i]=types2[width*height-1-i]=0;let nbd=1,lnbd;const contours=[];
+for(let i=1;i<height-1;i++){lnbd=1;for(let j=1;j<width-1;j++){const ij=i*width+j,pix=types2[ij];if(pix===0)continue;let i2=i,j2=j;if(pix===1&&types2[ij-1]===0)nbd+=1,j2-=1;else if(pix>=1&&types2[ij+1]===0)nbd+=1,j2+=1,pix>1&&(lnbd=pix);else{pix!==1&&(lnbd=Math.abs(pix));continue}const points=[j,i],isHole=j2===j+1,contour={isHole,points,id:nbd,parent:0};contours.push(contour);let contour0;for(const c2 of contours)if(c2.id===lnbd){contour0=c2;break}contour0?contour0.isHole?contour.parent=isHole?contour0.
+parent:lnbd:contour.parent=isHole?lnbd:contour0.parent:contour.parent=isHole?lnbd:0;const k=this.#clockwiseNonZero(types2,width,i,j,i2,j2,0);if(k===-1){types2[ij]=-nbd,types2[ij]!==1&&(lnbd=Math.abs(types2[ij]));continue}let shiftI=this.#neighborIdToIndex[2*k],shiftJ=this.#neighborIdToIndex[2*k+1];const i1=i+shiftI,j1=j+shiftJ;i2=i1,j2=j1;let i3=i,j3=j;for(;;){const kk=this.#counterClockwiseNonZero(types2,width,i3,j3,i2,j2,1);shiftI=this.#neighborIdToIndex[2*kk],shiftJ=this.#neighborIdToIndex[2*
+kk+1];const i4=i3+shiftI,j4=j3+shiftJ;points.push(j4,i4);const ij3=i3*width+j3;if(types2[ij3+1]===0?types2[ij3]=-nbd:types2[ij3]===1&&(types2[ij3]=nbd),i4===i&&j4===j&&i3===i1&&j3===j1){types2[ij]!==1&&(lnbd=Math.abs(types2[ij]));break}else i2=i3,j2=j3,i3=i4,j3=j4}}}return contours}static#douglasPeuckerHelper(points,start2,end,output){if(end-start2<=4){for(let i=start2;i<end-2;i+=2)output.push(points[i],points[i+1]);return}const ax=points[start2],ay=points[start2+1],abx=points[end-4]-ax,aby=points[end-
+3]-ay,dist2=Math.hypot(abx,aby),nabx=abx/dist2,naby=aby/dist2,aa=nabx*ay-naby*ax,m=aby/abx,invS=1/dist2,phi=Math.atan(m),cosPhi=Math.cos(phi),sinPhi=Math.sin(phi),tmax=invS*(Math.abs(cosPhi)+Math.abs(sinPhi)),poly=invS*(1-tmax+tmax**2),partialPhi=Math.max(Math.atan(Math.abs(sinPhi+cosPhi)*poly),Math.atan(Math.abs(sinPhi-cosPhi)*poly));let dmax=0,index2=start2;for(let i=start2+2;i<end-2;i+=2){const d2=Math.abs(aa-nabx*points[i+1]+naby*points[i]);d2>dmax&&(index2=i,dmax=d2)}dmax>(dist2*partialPhi)**
+2?(this.#douglasPeuckerHelper(points,start2,index2+2,output),this.#douglasPeuckerHelper(points,index2,end,output)):output.push(ax,ay)}static#douglasPeucker(points){const output=[],len=points.length;return this.#douglasPeuckerHelper(points,0,len,output),output.push(points[len-2],points[len-1]),output.length<=4?null:output}static#bilateralFilter(buf,width,height,sigmaS,sigmaR,kernelSize){const kernel=new Float32Array(kernelSize**2),sigmaS2=-2*sigmaS**2,halfSize=kernelSize>>1;for(let i=0;i<kernelSize;i++){
+const x=(i-halfSize)**2;for(let j=0;j<kernelSize;j++)kernel[i*kernelSize+j]=Math.exp((x+(j-halfSize)**2)/sigmaS2)}const rangeValues=new Float32Array(256),sigmaR2=-2*sigmaR**2;for(let i=0;i<256;i++)rangeValues[i]=Math.exp(i**2/sigmaR2);const N=buf.length,out=new Uint8Array(N),histogram=new Uint32Array(256);for(let i=0;i<height;i++)for(let j=0;j<width;j++){const ij=i*width+j,center=buf[ij];let sum=0,norm=0;for(let k=0;k<kernelSize;k++){const y=i+k-halfSize;if(!(y<0||y>=height))for(let l=0;l<kernelSize;l++){
+const x=j+l-halfSize;if(x<0||x>=width)continue;const neighbour=buf[y*width+x],w=kernel[k*kernelSize+l]*rangeValues[Math.abs(neighbour-center)];sum+=neighbour*w,norm+=w}}const pix=out[ij]=Math.round(sum/norm);histogram[pix]++}return[out,histogram]}static#getHistogram(buf){const histogram=new Uint32Array(256);for(const g of buf)histogram[g]++;return histogram}static#toUint8(buf){const N=buf.length,out=new Uint8ClampedArray(N>>2);let max2=-1/0,min2=1/0;for(let i=0,ii=out.length;i<ii;i++){const pix=out[i]=
+buf[i<<2];max2=Math.max(max2,pix),min2=Math.min(min2,pix)}const ratio=255/(max2-min2);for(let i=0,ii=out.length;i<ii;i++)out[i]=(out[i]-min2)*ratio;return out}static#guessThreshold(histogram){let i,M=-1/0,L=-1/0;const min2=histogram.findIndex(v=>v!==0);let pos=min2,spos=min2;for(i=min2;i<256;i++){const v=histogram[i];v>M&&(i-pos>L&&(L=i-pos,spos=i-1),M=v,pos=i)}for(i=spos-1;i>=0&&!(histogram[i]>histogram[i+1]);i--);return i}static#getGrayPixels(bitmap){const originalBitmap=bitmap,{width,height}=bitmap,
+{maxDim}=this.#PARAMETERS;let newWidth=width,newHeight=height;if(width>maxDim||height>maxDim){let prevWidth=width,prevHeight=height,steps=Math.log2(Math.max(width,height)/maxDim);const isteps=Math.floor(steps);steps=steps===isteps?isteps-1:isteps;for(let i=0;i<steps;i++){newWidth=Math.ceil(prevWidth/2),newHeight=Math.ceil(prevHeight/2);const offscreen2=new OffscreenCanvas(newWidth,newHeight);offscreen2.getContext("2d").drawImage(bitmap,0,0,prevWidth,prevHeight,0,0,newWidth,newHeight),prevWidth=newWidth,
+prevHeight=newHeight,bitmap!==originalBitmap&&bitmap.close(),bitmap=offscreen2.transferToImageBitmap()}const ratio=Math.min(maxDim/newWidth,maxDim/newHeight);newWidth=Math.round(newWidth*ratio),newHeight=Math.round(newHeight*ratio)}const ctx=new OffscreenCanvas(newWidth,newHeight).getContext("2d",{willReadFrequently:!0});ctx.fillStyle="white",ctx.fillRect(0,0,newWidth,newHeight),ctx.filter="grayscale(1)",ctx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,newWidth,newHeight);const grayImage=ctx.
+getImageData(0,0,newWidth,newHeight).data;return[this.#toUint8(grayImage),newWidth,newHeight]}static extractContoursFromText(text2,{fontFamily,fontStyle,fontWeight},pageWidth,pageHeight,rotation,innerMargin){let canvas=new OffscreenCanvas(1,1),ctx=canvas.getContext("2d",{alpha:!1});const fontSize=200,font=ctx.font=`${fontStyle} ${fontWeight} ${fontSize}px ${fontFamily}`,{actualBoundingBoxLeft,actualBoundingBoxRight,actualBoundingBoxAscent,actualBoundingBoxDescent,fontBoundingBoxAscent,fontBoundingBoxDescent,
+width}=ctx.measureText(text2),SCALE=1.5,canvasWidth=Math.ceil(Math.max(Math.abs(actualBoundingBoxLeft)+Math.abs(actualBoundingBoxRight)||0,width)*SCALE),canvasHeight=Math.ceil(Math.max(Math.abs(actualBoundingBoxAscent)+Math.abs(actualBoundingBoxDescent)||fontSize,Math.abs(fontBoundingBoxAscent)+Math.abs(fontBoundingBoxDescent)||fontSize)*SCALE);canvas=new OffscreenCanvas(canvasWidth,canvasHeight),ctx=canvas.getContext("2d",{alpha:!0,willReadFrequently:!0}),ctx.font=font,ctx.filter="grayscale(1)",
+ctx.fillStyle="white",ctx.fillRect(0,0,canvasWidth,canvasHeight),ctx.fillStyle="black",ctx.fillText(text2,canvasWidth*(SCALE-1)/2,canvasHeight*(3-SCALE)/2);const uint8Buf=this.#toUint8(ctx.getImageData(0,0,canvasWidth,canvasHeight).data),histogram=this.#getHistogram(uint8Buf),threshold=this.#guessThreshold(histogram),contourList=this.#findContours(uint8Buf,canvasWidth,canvasHeight,threshold);return this.processDrawnLines({lines:{curves:contourList,width:canvasWidth,height:canvasHeight},pageWidth,
+pageHeight,rotation,innerMargin,mustSmooth:!0,areContours:!0})}static process(bitmap,pageWidth,pageHeight,rotation,innerMargin){const[uint8Buf,width,height]=this.#getGrayPixels(bitmap),[buffer,histogram]=this.#bilateralFilter(uint8Buf,width,height,Math.hypot(width,height)*this.#PARAMETERS.sigmaSFactor,this.#PARAMETERS.sigmaR,this.#PARAMETERS.kernelSize),threshold=this.#guessThreshold(histogram),contourList=this.#findContours(buffer,width,height,threshold);return this.processDrawnLines({lines:{curves:contourList,
+width,height},pageWidth,pageHeight,rotation,innerMargin,mustSmooth:!0,areContours:!0})}static processDrawnLines({lines,pageWidth,pageHeight,rotation,innerMargin,mustSmooth,areContours}){rotation%180!==0&&([pageWidth,pageHeight]=[pageHeight,pageWidth]);const{curves,width,height}=lines,thickness=lines.thickness??0,linesAndPoints=[],ratio=Math.min(pageWidth/width,pageHeight/height),xScale=ratio/pageWidth,yScale=ratio/pageHeight,newCurves=[];for(const{points}of curves){const reducedPoints=mustSmooth?
+this.#douglasPeucker(points):points;if(!reducedPoints)continue;newCurves.push(reducedPoints);const len=reducedPoints.length,newPoints=new Float32Array(len),line=new Float32Array(3*(len===2?2:len-2));if(linesAndPoints.push({line,points:newPoints}),len===2){newPoints[0]=reducedPoints[0]*xScale,newPoints[1]=reducedPoints[1]*yScale,line.set([NaN,NaN,NaN,NaN,newPoints[0],newPoints[1]],0);continue}let[x1,y1,x2,y2]=reducedPoints;x1*=xScale,y1*=yScale,x2*=xScale,y2*=yScale,newPoints.set([x1,y1,x2,y2],0),
+line.set([NaN,NaN,NaN,NaN,x1,y1],0);for(let i=4;i<len;i+=2){const x=newPoints[i]=reducedPoints[i]*xScale,y=newPoints[i+1]=reducedPoints[i+1]*yScale;line.set(Outline.createBezierPoints(x1,y1,x2,y2,x,y),(i-2)*3),[x1,y1,x2,y2]=[x2,y2,x,y]}}if(linesAndPoints.length===0)return null;const outline=areContours?new ContourDrawOutline:new InkDrawOutline;return outline.build(linesAndPoints,pageWidth,pageHeight,1,rotation,areContours?0:thickness,innerMargin),{outline,newCurves,areContours,thickness,width,height}}static async compressSignature({
+outlines,areContours,thickness,width,height}){let minDiff=1/0,maxDiff=-1/0,outlinesLength=0;for(const points of outlines){outlinesLength+=points.length;for(let i=2,ii=points.length;i<ii;i++){const dx=points[i]-points[i-2];minDiff=Math.min(minDiff,dx),maxDiff=Math.max(maxDiff,dx)}}let bufferType;minDiff>=-128&&maxDiff<=127?bufferType=Int8Array:minDiff>=-32768&&maxDiff<=32767?bufferType=Int16Array:bufferType=Int32Array;const len=outlines.length,headerLength=BASE_HEADER_LENGTH+POINTS_PROPERTIES_NUMBER*
+len,header=new Uint32Array(headerLength);let offset2=0;header[offset2++]=headerLength*Uint32Array.BYTES_PER_ELEMENT+(outlinesLength-2*len)*bufferType.BYTES_PER_ELEMENT,header[offset2++]=0,header[offset2++]=width,header[offset2++]=height,header[offset2++]=areContours?0:1,header[offset2++]=Math.max(0,Math.floor(thickness??0)),header[offset2++]=len,header[offset2++]=bufferType.BYTES_PER_ELEMENT;for(const points of outlines)header[offset2++]=points.length-2,header[offset2++]=points[0],header[offset2++]=
+points[1];const cs=new CompressionStream("deflate-raw"),writer=cs.writable.getWriter();await writer.ready,writer.write(header);const BufferCtor=bufferType.prototype.constructor;for(const points of outlines){const diffs=new BufferCtor(points.length-2);for(let i=2,ii=points.length;i<ii;i++)diffs[i-2]=points[i]-points[i-2];writer.write(diffs)}writer.close();const buf=await new Response(cs.readable).arrayBuffer(),bytes=new Uint8Array(buf);return toBase64Util(bytes)}static async decompressSignature(signatureData){
+try{const bytes=fromBase64Util(signatureData),{readable,writable:writable2}=new DecompressionStream("deflate-raw"),writer=writable2.getWriter();await writer.ready,writer.write(bytes).then(async()=>{await writer.ready,await writer.close()}).catch(()=>{});let data=null,offset2=0;for await(const chunk of readable)data||=new Uint8Array(new Uint32Array(chunk.buffer,0,4)[0]),data.set(chunk,offset2),offset2+=chunk.length;const header=new Uint32Array(data.buffer,0,data.length>>2),version2=header[1];if(version2!==
+0)throw new Error(`Invalid version: ${version2}`);const width=header[2],height=header[3],areContours=header[4]===0,thickness=header[5],numberOfDrawings=header[6],bufferType=header[7],outlines=[],diffsOffset=(BASE_HEADER_LENGTH+POINTS_PROPERTIES_NUMBER*numberOfDrawings)*Uint32Array.BYTES_PER_ELEMENT;let diffs;switch(bufferType){case Int8Array.BYTES_PER_ELEMENT:diffs=new Int8Array(data.buffer,diffsOffset);break;case Int16Array.BYTES_PER_ELEMENT:diffs=new Int16Array(data.buffer,diffsOffset);break;case Int32Array.
+BYTES_PER_ELEMENT:diffs=new Int32Array(data.buffer,diffsOffset);break}offset2=0;for(let i=0;i<numberOfDrawings;i++){const len=header[POINTS_PROPERTIES_NUMBER*i+BASE_HEADER_LENGTH],points=new Float32Array(len+2);outlines.push(points);for(let j=0;j<POINTS_PROPERTIES_NUMBER-1;j++)points[j]=header[POINTS_PROPERTIES_NUMBER*i+BASE_HEADER_LENGTH+j+1];for(let j=0;j<len;j++)points[j+2]=points[j]+diffs[offset2++]}return{areContours,thickness,outlines,width,height}}catch(e){return warn(`decompressSignature\
+: ${e}`),null}}}class SignatureOptions extends DrawingOptions{constructor(){super(),super.updateProperties({fill:AnnotationEditor._defaultLineColor,"stroke-width":0})}clone(){const clone2=new SignatureOptions;return clone2.updateAll(this),clone2}}class DrawnSignatureOptions extends InkDrawingOptions{constructor(viewerParameters){super(viewerParameters),super.updateProperties({stroke:AnnotationEditor._defaultLineColor,"stroke-width":1})}clone(){const clone2=new DrawnSignatureOptions(this._viewParameters);
+return clone2.updateAll(this),clone2}}class SignatureEditor extends DrawingEditor{#isExtracted=!1;#description=null;#signatureData=null;#signatureUUID=null;static _type="signature";static _editorType=AnnotationEditorType.SIGNATURE;static _defaultDrawingOptions=null;constructor(params){super({...params,mustBeCommitted:!0,name:"signatureEditor"}),this._willKeepAspectRatio=!0,this.#signatureData=params.signatureData||null,this.#description=null,this.defaultL10nId="pdfjs-editor-signature-editor1"}static initialize(l10n,uiManager){
+AnnotationEditor.initialize(l10n,uiManager),this._defaultDrawingOptions=new SignatureOptions,this._defaultDrawnSignatureOptions=new DrawnSignatureOptions(uiManager.viewParameters)}static getDefaultDrawingOptions(options){const clone2=this._defaultDrawingOptions.clone();return clone2.updateProperties(options),clone2}static get supportMultipleDrawings(){return!1}static get typesMap(){return shadow(this,"typesMap",new Map)}static get isDrawer(){return!1}get telemetryFinalData(){return{type:"signatu\
+re",hasDescription:!!this.#description}}static computeTelemetryFinalData(data){const hasDescriptionStats=data.get("hasDescription");return{hasAltText:hasDescriptionStats.get(!0)??0,hasNoAltText:hasDescriptionStats.get(!1)??0}}get isResizable(){return!0}onScaleChanging(){this._drawId!==null&&super.onScaleChanging()}render(){if(this.div)return this.div;let baseX,baseY;const{_isCopy}=this;if(_isCopy&&(this._isCopy=!1,baseX=this.x,baseY=this.y),super.render(),this._drawId===null)if(this.#signatureData){
+const{lines,mustSmooth,areContours,description:description2,uuid:uuid2,heightInPage}=this.#signatureData,{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport,outline=SignatureExtractor.processDrawnLines({lines,pageWidth,pageHeight,rotation,innerMargin:SignatureEditor._INNER_MARGIN,mustSmooth,areContours});this.addSignature(outline,heightInPage,description2,uuid2)}else this.div.setAttribute("data-l10n-args",JSON.stringify({description:""})),this.div.hidden=!0,this._uiManager.getSignature(
+this);else this.div.setAttribute("data-l10n-args",JSON.stringify({description:this.#description||""}));return _isCopy&&(this._isCopy=!0,this._moveAfterPaste(baseX,baseY)),this.div}setUuid(uuid2){this.#signatureUUID=uuid2,this.addEditToolbar()}getUuid(){return this.#signatureUUID}get description(){return this.#description}set description(description2){this.#description=description2,this.div&&(this.div.setAttribute("data-l10n-args",JSON.stringify({description:description2})),super.addEditToolbar().
+then(toolbar=>{toolbar?.updateEditSignatureButton(description2)}))}getSignaturePreview(){const{newCurves,areContours,thickness,width,height}=this.#signatureData,maxDim=Math.max(width,height),outlineData=SignatureExtractor.processDrawnLines({lines:{curves:newCurves.map(points=>({points})),thickness,width,height},pageWidth:maxDim,pageHeight:maxDim,rotation:0,innerMargin:0,mustSmooth:!1,areContours});return{areContours,outline:outlineData.outline}}get toolbarButtons(){return this._uiManager.signatureManager?
+[["editSignature",this._uiManager.signatureManager]]:super.toolbarButtons}addSignature(data,heightInPage,description2,uuid2){const{x:savedX,y:savedY}=this,{outline}=this.#signatureData=data;this.#isExtracted=outline instanceof ContourDrawOutline,this.description=description2;let drawingOptions;this.#isExtracted?drawingOptions=SignatureEditor.getDefaultDrawingOptions():(drawingOptions=SignatureEditor._defaultDrawnSignatureOptions.clone(),drawingOptions.updateProperties({"stroke-width":outline.thickness})),
+this._addOutlines({drawOutlines:outline,drawingOptions});const[parentWidth,parentHeight]=this.parentDimensions,[,pageHeight]=this.pageDimensions;let newHeight=heightInPage/pageHeight;newHeight=newHeight>=1?.5:newHeight,this.width*=newHeight/this.height,this.width>=1&&(newHeight*=.9/this.width,this.width=.9),this.height=newHeight,this.setDims(parentWidth*this.width,parentHeight*this.height),this.x=savedX,this.y=savedY,this.center(),this._onResized(),this.onScaleChanging(),this.rotate(),this._uiManager.
+addToAnnotationStorage(this),this.setUuid(uuid2),this._reportTelemetry({action:"pdfjs.signature.inserted",data:{hasBeenSaved:!!uuid2,hasDescription:!!description2}}),this.div.hidden=!1}getFromImage(bitmap){const{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport;return SignatureExtractor.process(bitmap,pageWidth,pageHeight,rotation,SignatureEditor._INNER_MARGIN)}getFromText(text2,fontInfo){const{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport;return SignatureExtractor.extractContoursFromText(
+text2,fontInfo,pageWidth,pageHeight,rotation,SignatureEditor._INNER_MARGIN)}getDrawnSignature(curves){const{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport;return SignatureExtractor.processDrawnLines({lines:curves,pageWidth,pageHeight,rotation,innerMargin:SignatureEditor._INNER_MARGIN,mustSmooth:!1,areContours:!1})}createDrawingOptions({areContours,thickness}){areContours?this._drawingOptions=SignatureEditor.getDefaultDrawingOptions():(this._drawingOptions=SignatureEditor._defaultDrawnSignatureOptions.
+clone(),this._drawingOptions.updateProperties({"stroke-width":thickness}))}serialize(isForCopying=!1){if(this.isEmpty())return null;const{lines,points,rect}=this.serializeDraw(isForCopying),{_drawingOptions:{"stroke-width":thickness}}=this,serialized={annotationType:AnnotationEditorType.SIGNATURE,isSignature:!0,areContours:this.#isExtracted,color:[0,0,0],thickness:this.#isExtracted?0:thickness,pageIndex:this.pageIndex,rect,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.
+addComment(serialized),isForCopying?(serialized.paths={lines,points},serialized.uuid=this.#signatureUUID,serialized.isCopy=!0):serialized.lines=lines,this.#description&&(serialized.accessibilityData={type:"Figure",alt:this.#description}),serialized}static deserializeDraw(pageX,pageY,pageWidth,pageHeight,innerMargin,data){return data.areContours?ContourDrawOutline.deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,data):InkDrawOutline.deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,
+data)}static async deserialize(data,parent,uiManager){const editor=await super.deserialize(data,parent,uiManager);return editor.#isExtracted=data.areContours,editor.description=data.accessibilityData?.alt||"",editor.#signatureUUID=data.uuid,editor}}class StampEditor extends AnnotationEditor{#bitmap=null;#bitmapId=null;#bitmapPromise=null;#bitmapUrl=null;#bitmapFile=null;#bitmapFileName="";#canvas=null;#missingCanvas=!1;#resizeTimeoutId=null;#isSvg=!1;#hasBeenAddedInUndoStack=!1;static _type="sta\
+mp";static _editorType=AnnotationEditorType.STAMP;constructor(params){super({...params,name:"stampEditor"}),this.#bitmapUrl=params.bitmapUrl,this.#bitmapFile=params.bitmapFile,this.defaultL10nId="pdfjs-editor-stamp-editor"}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager)}static isHandlingMimeForPasting(mime){return SupportedImageMimeTypes.includes(mime)}static paste(item,parent){parent.pasteEditor({mode:AnnotationEditorType.STAMP},{bitmapFile:item.getAsFile()})}altTextFinish(){
+this._uiManager.useNewAltTextFlow&&(this.div.hidden=!1),super.altTextFinish()}get telemetryFinalData(){return{type:"stamp",hasAltText:!!this.altTextData?.altText}}static computeTelemetryFinalData(data){const hasAltTextStats=data.get("hasAltText");return{hasAltText:hasAltTextStats.get(!0)??0,hasNoAltText:hasAltTextStats.get(!1)??0}}#getBitmapFetched(data,fromId=!1){if(!data){this.remove();return}this.#bitmap=data.bitmap,fromId||(this.#bitmapId=data.id,this.#isSvg=data.isSvg),data.file&&(this.#bitmapFileName=
+data.file.name),this.#createCanvas()}#getBitmapDone(){if(this.#bitmapPromise=null,this._uiManager.enableWaiting(!1),!!this.#canvas){if(this._uiManager.useNewAltTextWhenAddingImage&&this._uiManager.useNewAltTextFlow&&this.#bitmap){this.addEditToolbar().then(()=>{this._editToolbar.hide(),this._uiManager.editAltText(this,!0)});return}if(!this._uiManager.useNewAltTextWhenAddingImage&&this._uiManager.useNewAltTextFlow&&this.#bitmap){this._reportTelemetry({action:"pdfjs.image.image_added",data:{alt_text_modal:!1,
+alt_text_type:"empty"}});try{this.mlGuessAltText()}catch{}}this.div.focus()}}async mlGuessAltText(imageData=null,updateAltTextData=!0){if(this.hasAltTextData())return null;const{mlManager}=this._uiManager;if(!mlManager)throw new Error("No ML.");if(!await mlManager.isEnabledFor("altText"))throw new Error("ML isn't enabled for alt text.");const{data,width,height}=imageData||this.copyCanvas(null,null,!0).imageData,response=await mlManager.guess({name:"altText",request:{data,width,height,channels:data.
+length/(width*height)}});if(!response)throw new Error("No response from the AI service.");if(response.error)throw new Error("Error from the AI service.");if(response.cancel)return null;if(!response.output)throw new Error("No valid response from the AI service.");const altText=response.output;return await this.setGuessedAltText(altText),updateAltTextData&&!this.hasAltTextData()&&(this.altTextData={alt:altText,decorative:!1}),altText}#getBitmap(){if(this.#bitmapId){this._uiManager.enableWaiting(!0),
+this._uiManager.imageManager.getFromId(this.#bitmapId).then(data=>this.#getBitmapFetched(data,!0)).finally(()=>this.#getBitmapDone());return}if(this.#bitmapUrl){const url2=this.#bitmapUrl;this.#bitmapUrl=null,this._uiManager.enableWaiting(!0),this.#bitmapPromise=this._uiManager.imageManager.getFromUrl(url2).then(data=>this.#getBitmapFetched(data)).finally(()=>this.#getBitmapDone());return}if(this.#bitmapFile){const file=this.#bitmapFile;this.#bitmapFile=null,this._uiManager.enableWaiting(!0),this.#bitmapPromise=
+this._uiManager.imageManager.getFromFile(file).then(data=>this.#getBitmapFetched(data)).finally(()=>this.#getBitmapDone());return}const input=document.createElement("input");input.type="file",input.accept=SupportedImageMimeTypes.join(",");const signal=this._uiManager._signal;this.#bitmapPromise=new Promise(resolve2=>{input.addEventListener("change",async()=>{if(!input.files||input.files.length===0)this.remove();else{this._uiManager.enableWaiting(!0);const data=await this._uiManager.imageManager.
+getFromFile(input.files[0]);this._reportTelemetry({action:"pdfjs.image.image_selected",data:{alt_text_modal:this._uiManager.useNewAltTextFlow}}),this.#getBitmapFetched(data)}resolve2()},{signal}),input.addEventListener("cancel",()=>{this.remove(),resolve2()},{signal})}).finally(()=>this.#getBitmapDone()),input.click()}remove(){this.#bitmapId&&(this.#bitmap=null,this._uiManager.imageManager.deleteId(this.#bitmapId),this.#canvas?.remove(),this.#canvas=null,this.#resizeTimeoutId&&(clearTimeout(this.#resizeTimeoutId),
+this.#resizeTimeoutId=null)),super.remove()}rebuild(){if(!this.parent){this.#bitmapId&&this.#getBitmap();return}super.rebuild(),this.div!==null&&(this.#bitmapId&&this.#canvas===null&&this.#getBitmap(),this.isAttachedToDOM||this.parent.add(this))}onceAdded(focus2){this._isDraggable=!0,focus2&&this.div.focus()}isEmpty(){return!(this.#bitmapPromise||this.#bitmap||this.#bitmapUrl||this.#bitmapFile||this.#bitmapId||this.#missingCanvas)}get toolbarButtons(){return[["altText",this.createAltText()]]}get isResizable(){
+return!0}render(){if(this.div)return this.div;let baseX,baseY;return this._isCopy&&(baseX=this.x,baseY=this.y),super.render(),this.div.hidden=!0,this.createAltText(),this.#missingCanvas||(this.#bitmap?this.#createCanvas():this.#getBitmap()),this._isCopy&&this._moveAfterPaste(baseX,baseY),this._uiManager.addShouldRescale(this),this.div}setCanvas(annotationElementId,canvas){const{id:bitmapId,bitmap}=this._uiManager.imageManager.getFromCanvas(annotationElementId,canvas);canvas.remove(),bitmapId&&this.
+_uiManager.imageManager.isValidId(bitmapId)&&(this.#bitmapId=bitmapId,bitmap&&(this.#bitmap=bitmap),this.#missingCanvas=!1,this.#createCanvas())}_onResized(){this.onScaleChanging()}onScaleChanging(){if(!this.parent)return;this.#resizeTimeoutId!==null&&clearTimeout(this.#resizeTimeoutId);const TIME_TO_WAIT=200;this.#resizeTimeoutId=setTimeout(()=>{this.#resizeTimeoutId=null,this.#drawBitmap()},TIME_TO_WAIT)}#createCanvas(){const{div}=this;let{width,height}=this.#bitmap;const[pageWidth,pageHeight]=this.
+pageDimensions,MAX_RATIO=.75;if(this.width)width=this.width*pageWidth,height=this.height*pageHeight;else if(width>MAX_RATIO*pageWidth||height>MAX_RATIO*pageHeight){const factor=Math.min(MAX_RATIO*pageWidth/width,MAX_RATIO*pageHeight/height);width*=factor,height*=factor}const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(width*parentWidth/pageWidth,height*parentHeight/pageHeight),this._uiManager.enableWaiting(!1);const canvas=this.#canvas=document.createElement("canvas");canvas.setAttribute(
+"role","img"),this.addContainer(canvas),this.width=width/pageWidth,this.height=height/pageHeight,this._initialOptions?.isCentered?this.center():this.fixAndSetPosition(),this._initialOptions=null,(!this._uiManager.useNewAltTextWhenAddingImage||!this._uiManager.useNewAltTextFlow||this.annotationElementId)&&(div.hidden=!1),this.#drawBitmap(),this.#hasBeenAddedInUndoStack||(this.parent.addUndoableEditor(this),this.#hasBeenAddedInUndoStack=!0),this._reportTelemetry({action:"inserted_image"}),this.#bitmapFileName&&
+this.div.setAttribute("aria-description",this.#bitmapFileName),this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-stamp-added-alert")}copyCanvas(maxDataDimension,maxPreviewDimension,createImageData=!1){maxDataDimension||(maxDataDimension=224);const{width:bitmapWidth,height:bitmapHeight}=this.#bitmap,outputScale=new OutputScale;let bitmap=this.#bitmap,width=bitmapWidth,height=bitmapHeight,canvas=null;if(maxPreviewDimension){if(bitmapWidth>maxPreviewDimension||bitmapHeight>maxPreviewDimension){
+const ratio=Math.min(maxPreviewDimension/bitmapWidth,maxPreviewDimension/bitmapHeight);width=Math.floor(bitmapWidth*ratio),height=Math.floor(bitmapHeight*ratio)}canvas=document.createElement("canvas");const scaledWidth=canvas.width=Math.ceil(width*outputScale.sx),scaledHeight=canvas.height=Math.ceil(height*outputScale.sy);this.#isSvg||(bitmap=this.#scaleBitmap(scaledWidth,scaledHeight));const ctx=canvas.getContext("2d");ctx.filter=this._uiManager.hcmFilter;let white="white",black="#cfcfd8";this.
+_uiManager.hcmFilter!=="none"?black="black":window.matchMedia?.("(prefers-color-scheme: dark)").matches&&(white="#8f8f9d",black="#42414d");const boxDim=15,boxDimWidth=boxDim*outputScale.sx,boxDimHeight=boxDim*outputScale.sy,pattern2=new OffscreenCanvas(boxDimWidth*2,boxDimHeight*2),patternCtx=pattern2.getContext("2d");patternCtx.fillStyle=white,patternCtx.fillRect(0,0,boxDimWidth*2,boxDimHeight*2),patternCtx.fillStyle=black,patternCtx.fillRect(0,0,boxDimWidth,boxDimHeight),patternCtx.fillRect(boxDimWidth,
+boxDimHeight,boxDimWidth,boxDimHeight),ctx.fillStyle=ctx.createPattern(pattern2,"repeat"),ctx.fillRect(0,0,scaledWidth,scaledHeight),ctx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,scaledWidth,scaledHeight)}let imageData=null;if(createImageData){let dataWidth,dataHeight;if(outputScale.symmetric&&bitmap.width<maxDataDimension&&bitmap.height<maxDataDimension)dataWidth=bitmap.width,dataHeight=bitmap.height;else if(bitmap=this.#bitmap,bitmapWidth>maxDataDimension||bitmapHeight>maxDataDimension){
+const ratio=Math.min(maxDataDimension/bitmapWidth,maxDataDimension/bitmapHeight);dataWidth=Math.floor(bitmapWidth*ratio),dataHeight=Math.floor(bitmapHeight*ratio),this.#isSvg||(bitmap=this.#scaleBitmap(dataWidth,dataHeight))}const offscreenCtx=new OffscreenCanvas(dataWidth,dataHeight).getContext("2d",{willReadFrequently:!0});offscreenCtx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,dataWidth,dataHeight),imageData={width:dataWidth,height:dataHeight,data:offscreenCtx.getImageData(0,0,dataWidth,
+dataHeight).data}}return{canvas,width,height,imageData}}#scaleBitmap(width,height){const{width:bitmapWidth,height:bitmapHeight}=this.#bitmap;let newWidth=bitmapWidth,newHeight=bitmapHeight,bitmap=this.#bitmap;for(;newWidth>2*width||newHeight>2*height;){const prevWidth=newWidth,prevHeight=newHeight;newWidth>2*width&&(newWidth=newWidth>=16384?Math.floor(newWidth/2)-1:Math.ceil(newWidth/2)),newHeight>2*height&&(newHeight=newHeight>=16384?Math.floor(newHeight/2)-1:Math.ceil(newHeight/2));const offscreen=new OffscreenCanvas(
+newWidth,newHeight);offscreen.getContext("2d").drawImage(bitmap,0,0,prevWidth,prevHeight,0,0,newWidth,newHeight),bitmap=offscreen.transferToImageBitmap()}return bitmap}#drawBitmap(){const[parentWidth,parentHeight]=this.parentDimensions,{width,height}=this,outputScale=new OutputScale,scaledWidth=Math.ceil(width*parentWidth*outputScale.sx),scaledHeight=Math.ceil(height*parentHeight*outputScale.sy),canvas=this.#canvas;if(!canvas||canvas.width===scaledWidth&&canvas.height===scaledHeight)return;canvas.
+width=scaledWidth,canvas.height=scaledHeight;const bitmap=this.#isSvg?this.#bitmap:this.#scaleBitmap(scaledWidth,scaledHeight),ctx=canvas.getContext("2d");ctx.filter=this._uiManager.hcmFilter,ctx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,scaledWidth,scaledHeight)}#serializeBitmap(toUrl){if(toUrl){if(this.#isSvg){const url2=this._uiManager.imageManager.getSvgUrl(this.#bitmapId);if(url2)return url2}const canvas=document.createElement("canvas");return{width:canvas.width,height:canvas.height}=
+this.#bitmap,canvas.getContext("2d").drawImage(this.#bitmap,0,0),canvas.toDataURL()}if(this.#isSvg){const[pageWidth,pageHeight]=this.pageDimensions,width=Math.round(this.width*pageWidth*PixelsPerInch.PDF_TO_CSS_UNITS),height=Math.round(this.height*pageHeight*PixelsPerInch.PDF_TO_CSS_UNITS),offscreen=new OffscreenCanvas(width,height);return offscreen.getContext("2d").drawImage(this.#bitmap,0,0,this.#bitmap.width,this.#bitmap.height,0,0,width,height),offscreen.transferToImageBitmap()}return structuredClone(
+this.#bitmap)}static async deserialize(data,parent,uiManager){let initialData=null,missingCanvas=!1;if(data instanceof StampAnnotationElement){const{data:{rect:rect2,rotation,id:id2,structParent,popupRef,contentsObj},container:container2,parent:{page:{pageNumber}},canvas}=data;let bitmapId2,bitmap2;canvas?(delete data.canvas,{id:bitmapId2,bitmap:bitmap2}=uiManager.imageManager.getFromCanvas(container2.id,canvas),canvas.remove()):(missingCanvas=!0,data._hasNoCanvas=!0);const altText=(await parent.
+_structTree.getAriaAttributes(`${AnnotationPrefix}${id2}`))?.get("aria-label")||"";initialData=data={annotationType:AnnotationEditorType.STAMP,bitmapId:bitmapId2,bitmap:bitmap2,pageIndex:pageNumber-1,rect:rect2.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,accessibilityData:{decorative:!1,altText},isSvg:!1,structParent,popupRef,comment:contentsObj?.str||null}}const editor=await super.deserialize(data,parent,uiManager),{rect,bitmap,bitmapUrl,bitmapId,isSvg,accessibilityData}=data;missingCanvas?
+(uiManager.addMissingCanvas(data.id,editor),editor.#missingCanvas=!0):bitmapId&&uiManager.imageManager.isValidId(bitmapId)?(editor.#bitmapId=bitmapId,bitmap&&(editor.#bitmap=bitmap)):editor.#bitmapUrl=bitmapUrl,editor.#isSvg=isSvg;const[parentWidth,parentHeight]=editor.pageDimensions;return editor.width=(rect[2]-rect[0])/parentWidth,editor.height=(rect[3]-rect[1])/parentHeight,accessibilityData&&(editor.altTextData=accessibilityData),editor._initialData=initialData,data.comment&&editor.setCommentData(
+data.comment),editor.#hasBeenAddedInUndoStack=!!initialData,editor}serialize(isForCopying=!1,context=null){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const serialized={annotationType:AnnotationEditorType.STAMP,bitmapId:this.#bitmapId,pageIndex:this.pageIndex,rect:this.getRect(0,0),rotation:this.rotation,isSvg:this.#isSvg,structTreeParentId:this._structTreeParentId};if(this.addComment(serialized),isForCopying)return serialized.bitmapUrl=this.#serializeBitmap(!0),
+serialized.accessibilityData=this.serializeAltText(!0),serialized.isCopy=!0,serialized;const{decorative,altText}=this.serializeAltText(!1);if(!decorative&&altText&&(serialized.accessibilityData={type:"Figure",alt:altText}),this.annotationElementId){const changes=this.#hasElementChanged(serialized);if(changes.isSame)return null;changes.isSameAltText?delete serialized.accessibilityData:serialized.accessibilityData.structParent=this._initialData.structParent??-1}if(serialized.id=this.annotationElementId,
+context===null)return serialized;context.stamps||=new Map;const area=this.#isSvg?(serialized.rect[2]-serialized.rect[0])*(serialized.rect[3]-serialized.rect[1]):null;if(!context.stamps.has(this.#bitmapId))context.stamps.set(this.#bitmapId,{area,serialized}),serialized.bitmap=this.#serializeBitmap(!1);else if(this.#isSvg){const prevData=context.stamps.get(this.#bitmapId);area>prevData.area&&(prevData.area=area,prevData.serialized.bitmap.close(),prevData.serialized.bitmap=this.#serializeBitmap(!1))}
+return serialized}#hasElementChanged(serialized){const{pageIndex,accessibilityData:{altText}}=this._initialData,isSamePageIndex=serialized.pageIndex===pageIndex,isSameAltText=(serialized.accessibilityData?.alt||"")===altText;return{isSame:!this.hasEditedComment&&!this._hasBeenMoved&&!this._hasBeenResized&&isSamePageIndex&&isSameAltText,isSameAltText}}renderAnnotationElement(annotation){const params={rect:this.getRect(0,0)};return this.hasEditedComment&&(params.popup=this.comment),annotation.updateEdited(
+params),null}}class AnnotationEditorLayer{#accessibilityManager;#allowClick=!1;#annotationLayer=null;#clickAC=null;#editorFocusTimeoutId=null;#editors=new Map;#hadPointerDown=!1;#isDisabling=!1;#isEnabling=!1;#drawingAC=null;#focusedElement=null;#textLayer=null;#textSelectionAC=null;#textLayerDblClickAC=null;#lastPointerDownTimestamp=-1;#uiManager;static _initialized=!1;static#editorTypes=new Map([FreeTextEditor,InkEditor,StampEditor,HighlightEditor,SignatureEditor].map(type2=>[type2._editorType,
+type2]));constructor({uiManager,pageIndex,div,structTreeLayer,accessibilityManager,annotationLayer,drawLayer,textLayer,viewport,l10n}){const editorTypes=[...AnnotationEditorLayer.#editorTypes.values()];if(!AnnotationEditorLayer._initialized){AnnotationEditorLayer._initialized=!0;for(const editorType of editorTypes)editorType.initialize(l10n,uiManager)}uiManager.registerEditorTypes(editorTypes),this.#uiManager=uiManager,this.pageIndex=pageIndex,this.div=div,this.#accessibilityManager=accessibilityManager,
+this.#annotationLayer=annotationLayer,this.viewport=viewport,this.#textLayer=textLayer,this.drawLayer=drawLayer,this._structTree=structTreeLayer,this.#uiManager.addLayer(this)}get isEmpty(){return this.#editors.size===0}get isInvisible(){return this.isEmpty&&this.#uiManager.getMode()===AnnotationEditorType.NONE}updateToolbar(options){this.#uiManager.updateToolbar(options)}updateMode(mode=this.#uiManager.getMode()){switch(this.#cleanup(),mode){case AnnotationEditorType.NONE:this.disableTextSelection(),
+this.togglePointerEvents(!1),this.toggleAnnotationLayerPointerEvents(!0),this.disableClick();return;case AnnotationEditorType.INK:this.disableTextSelection(),this.togglePointerEvents(!0),this.enableClick();break;case AnnotationEditorType.HIGHLIGHT:this.enableTextSelection(),this.togglePointerEvents(!1),this.disableClick();break;default:this.disableTextSelection(),this.togglePointerEvents(!0),this.enableClick()}this.toggleAnnotationLayerPointerEvents(!1);const{classList}=this.div;for(const editorType of AnnotationEditorLayer.#editorTypes.
+values())classList.toggle(`${editorType._type}Editing`,mode===editorType._editorType);this.div.hidden=!1}hasTextLayer(textLayer){return textLayer===this.#textLayer?.div}setEditingState(isEditing2){this.#uiManager.setEditingState(isEditing2)}addCommands(params){this.#uiManager.addCommands(params)}cleanUndoStack(type2){this.#uiManager.cleanUndoStack(type2)}toggleDrawing(enabled=!1){this.div.classList.toggle("drawing",!enabled)}togglePointerEvents(enabled=!1){this.div.classList.toggle("disabled",!enabled)}toggleAnnotationLayerPointerEvents(enabled=!1){
+this.#annotationLayer?.div.classList.toggle("disabled",!enabled)}async enable(){this.#isEnabling=!0,this.div.tabIndex=0,this.togglePointerEvents(!0),this.#textLayerDblClickAC?.abort(),this.#textLayerDblClickAC=null;const annotationElementIds=new Set;for(const editor of this.#editors.values())editor.enableEditing(),editor.show(!0),editor.annotationElementId&&(this.#uiManager.removeChangedExistingAnnotation(editor),annotationElementIds.add(editor.annotationElementId));if(!this.#annotationLayer){this.#isEnabling=
+!1;return}const editables=this.#annotationLayer.getEditableAnnotations();for(const editable of editables){if(editable.hide(),this.#uiManager.isDeletedAnnotationElement(editable.data.id)||annotationElementIds.has(editable.data.id))continue;const editor=await this.deserialize(editable);editor&&(this.addOrRebuild(editor),editor.enableEditing())}this.#isEnabling=!1}disable(){if(this.#isDisabling=!0,this.div.tabIndex=-1,this.togglePointerEvents(!1),this.#textLayer&&!this.#textLayerDblClickAC){this.#textLayerDblClickAC=
+new AbortController;const signal=this.#uiManager.combinedSignal(this.#textLayerDblClickAC);this.#textLayer.div.addEventListener("pointerdown",e=>{const{clientX,clientY,timeStamp}=e,lastPointerDownTimestamp=this.#lastPointerDownTimestamp;if(timeStamp-lastPointerDownTimestamp>500){this.#lastPointerDownTimestamp=timeStamp;return}this.#lastPointerDownTimestamp=-1;const{classList:classList2}=this.div;classList2.toggle("getElements",!0);const elements=document.elementsFromPoint(clientX,clientY);if(classList2.
+toggle("getElements",!1),!this.div.contains(elements[0]))return;let id2;const regex=new RegExp(`^${AnnotationEditorPrefix}[0-9]+$`);for(const element2 of elements)if(regex.test(element2.id)){id2=element2.id;break}if(!id2)return;const editor=this.#editors.get(id2);editor?.annotationElementId===null&&(e.stopPropagation(),e.preventDefault(),editor.dblclick())},{signal,capture:!0})}const changedAnnotations=new Map,resetAnnotations=new Map;for(const editor of this.#editors.values())if(editor.disableEditing(),
+!!editor.annotationElementId){if(editor.serialize()!==null){changedAnnotations.set(editor.annotationElementId,editor);continue}else resetAnnotations.set(editor.annotationElementId,editor);this.getEditableAnnotation(editor.annotationElementId)?.show(),editor.remove()}if(this.#annotationLayer){const editables=this.#annotationLayer.getEditableAnnotations();for(const editable of editables){const{id:id2}=editable.data;if(this.#uiManager.isDeletedAnnotationElement(id2)){editable.updateEdited({deleted:!0});
+continue}let editor=resetAnnotations.get(id2);if(editor){editor.resetAnnotationElement(editable),editor.show(!1),editable.show();continue}editor=changedAnnotations.get(id2),editor&&(this.#uiManager.addChangedExistingAnnotation(editor),editor.renderAnnotationElement(editable)&&editor.show(!1)),editable.show()}}this.#cleanup(),this.isEmpty&&(this.div.hidden=!0);const{classList}=this.div;for(const editorType of AnnotationEditorLayer.#editorTypes.values())classList.remove(`${editorType._type}Editing`);
+this.disableTextSelection(),this.toggleAnnotationLayerPointerEvents(!0),this.#isDisabling=!1}getEditableAnnotation(id2){return this.#annotationLayer?.getEditableAnnotation(id2)||null}setActiveEditor(editor){this.#uiManager.getActive()!==editor&&this.#uiManager.setActiveEditor(editor)}enableTextSelection(){if(this.div.tabIndex=-1,this.#textLayer?.div&&!this.#textSelectionAC){this.#textSelectionAC=new AbortController;const signal=this.#uiManager.combinedSignal(this.#textSelectionAC);this.#textLayer.
+div.addEventListener("pointerdown",this.#textLayerPointerDown.bind(this),{signal}),this.#textLayer.div.classList.add("highlighting")}}disableTextSelection(){this.div.tabIndex=0,this.#textLayer?.div&&this.#textSelectionAC&&(this.#textSelectionAC.abort(),this.#textSelectionAC=null,this.#textLayer.div.classList.remove("highlighting"))}#textLayerPointerDown(event2){this.#uiManager.unselectAll();const{target:target2}=event2;if(target2===this.#textLayer.div||(target2.getAttribute("role")==="img"||target2.
+classList.contains("endOfContent"))&&this.#textLayer.div.contains(target2)){const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac)return;this.#uiManager.showAllEditors("highlight",!0,!0),this.#textLayer.div.classList.add("free"),this.toggleDrawing(),HighlightEditor.startHighlighting(this,this.#uiManager.direction==="ltr",{target:this.#textLayer.div,x:event2.x,y:event2.y}),this.#textLayer.div.addEventListener("pointerup",()=>{this.#textLayer.div.classList.remove("free"),
+this.toggleDrawing(!0)},{once:!0,signal:this.#uiManager._signal}),event2.preventDefault()}}enableClick(){if(this.#clickAC)return;this.#clickAC=new AbortController;const signal=this.#uiManager.combinedSignal(this.#clickAC);this.div.addEventListener("pointerdown",this.pointerdown.bind(this),{signal});const pointerup=this.pointerup.bind(this);this.div.addEventListener("pointerup",pointerup,{signal}),this.div.addEventListener("pointercancel",pointerup,{signal})}disableClick(){this.#clickAC?.abort(),
+this.#clickAC=null}attach(editor){this.#editors.set(editor.id,editor);const{annotationElementId}=editor;annotationElementId&&this.#uiManager.isDeletedAnnotationElement(annotationElementId)&&this.#uiManager.removeDeletedAnnotationElement(editor)}detach(editor){this.#editors.delete(editor.id),this.#accessibilityManager?.removePointerInTextLayer(editor.contentDiv),!this.#isDisabling&&editor.annotationElementId&&this.#uiManager.addDeletedAnnotationElement(editor)}remove(editor){this.detach(editor),this.#uiManager.
+removeEditor(editor),editor.div.remove(),editor.isAttachedToDOM=!1}changeParent(editor){editor.parent!==this&&(editor.parent&&editor.annotationElementId&&(this.#uiManager.addDeletedAnnotationElement(editor.annotationElementId),AnnotationEditor.deleteAnnotationElement(editor),editor.annotationElementId=null),this.attach(editor),editor.parent?.detach(editor),editor.setParent(this),editor.div&&editor.isAttachedToDOM&&(editor.div.remove(),this.div.append(editor.div)))}add(editor){if(!(editor.parent===
+this&&editor.isAttachedToDOM)){if(this.changeParent(editor),this.#uiManager.addEditor(editor),this.attach(editor),!editor.isAttachedToDOM){const div=editor.render();this.div.append(div),editor.isAttachedToDOM=!0}editor.fixAndSetPosition(),editor.onceAdded(!this.#isEnabling),this.#uiManager.addToAnnotationStorage(editor),editor._reportTelemetry(editor.telemetryInitialData)}}moveEditorInDOM(editor){if(!editor.isAttachedToDOM)return;const{activeElement}=document;editor.div.contains(activeElement)&&
+!this.#editorFocusTimeoutId&&(editor._focusEventsAllowed=!1,this.#editorFocusTimeoutId=setTimeout(()=>{this.#editorFocusTimeoutId=null,editor.div.contains(document.activeElement)?editor._focusEventsAllowed=!0:(editor.div.addEventListener("focusin",()=>{editor._focusEventsAllowed=!0},{once:!0,signal:this.#uiManager._signal}),activeElement.focus())},0)),editor._structTreeParentId=this.#accessibilityManager?.moveElementInDOM(this.div,editor.div,editor.contentDiv,!0)}addOrRebuild(editor){editor.needsToBeRebuilt()?
+(editor.parent||=this,editor.rebuild(),editor.show()):this.add(editor)}addUndoableEditor(editor){const cmd=()=>editor._uiManager.rebuild(editor),undo=()=>{editor.remove()};this.addCommands({cmd,undo,mustExec:!1})}getNextId(){return this.#uiManager.getId()}get#currentEditorType(){return AnnotationEditorLayer.#editorTypes.get(this.#uiManager.getMode())}combinedSignal(ac){return this.#uiManager.combinedSignal(ac)}#createNewEditor(params){const editorType=this.#currentEditorType;return editorType?new editorType.
+prototype.constructor(params):null}canCreateNewEmptyEditor(){return this.#currentEditorType?.canCreateNewEmptyEditor()}async pasteEditor(options,params){this.updateToolbar(options),await this.#uiManager.updateMode(options.mode);const{offsetX,offsetY}=this.#getCenterPoint(),id2=this.getNextId(),editor=this.#createNewEditor({parent:this,id:id2,x:offsetX,y:offsetY,uiManager:this.#uiManager,isCentered:!0,...params});editor&&this.add(editor)}async deserialize(data){return await AnnotationEditorLayer.#editorTypes.
+get(data.annotationType??data.annotationEditorType)?.deserialize(data,this,this.#uiManager)||null}createAndAddNewEditor(event2,isCentered,data={}){const id2=this.getNextId(),editor=this.#createNewEditor({parent:this,id:id2,x:event2.offsetX,y:event2.offsetY,uiManager:this.#uiManager,isCentered,...data});return editor&&this.add(editor),editor}#getCenterPoint(){const{x,y,width,height}=this.div.getBoundingClientRect(),tlX=Math.max(0,x),tlY=Math.max(0,y),brX=Math.min(window.innerWidth,x+width),brY=Math.
+min(window.innerHeight,y+height),centerX=(tlX+brX)/2-x,centerY=(tlY+brY)/2-y,[offsetX,offsetY]=this.viewport.rotation%180===0?[centerX,centerY]:[centerY,centerX];return{offsetX,offsetY}}addNewEditor(data={}){this.createAndAddNewEditor(this.#getCenterPoint(),!0,data)}setSelected(editor){this.#uiManager.setSelected(editor)}toggleSelected(editor){this.#uiManager.toggleSelected(editor)}unselect(editor){this.#uiManager.unselect(editor)}pointerup(event2){const{isMac}=util_FeatureTest.platform;if(event2.
+button!==0||event2.ctrlKey&&isMac||event2.target!==this.div||!this.#hadPointerDown||(this.#hadPointerDown=!1,this.#currentEditorType?.isDrawer&&this.#currentEditorType.supportMultipleDrawings))return;if(!this.#allowClick){this.#allowClick=!0;return}const currentMode=this.#uiManager.getMode();if(currentMode===AnnotationEditorType.STAMP||currentMode===AnnotationEditorType.SIGNATURE){this.#uiManager.unselectAll();return}this.createAndAddNewEditor(event2,!1)}pointerdown(event2){if(this.#uiManager.getMode()===
+AnnotationEditorType.HIGHLIGHT&&this.enableTextSelection(),this.#hadPointerDown){this.#hadPointerDown=!1;return}const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac||event2.target!==this.div)return;if(this.#hadPointerDown=!0,this.#currentEditorType?.isDrawer){this.startDrawingSession(event2);return}const editor=this.#uiManager.getActive();this.#allowClick=!editor||editor.isEmpty()}startDrawingSession(event2){if(this.div.focus({preventScroll:!0}),this.#drawingAC){this.#currentEditorType.
+startDrawing(this,this.#uiManager,!1,event2);return}this.#uiManager.setCurrentDrawingSession(this),this.#drawingAC=new AbortController;const signal=this.#uiManager.combinedSignal(this.#drawingAC);this.div.addEventListener("blur",({relatedTarget})=>{relatedTarget&&!this.div.contains(relatedTarget)&&(this.#focusedElement=null,this.commitOrRemove())},{signal}),this.#currentEditorType.startDrawing(this,this.#uiManager,!1,event2)}pause(on2){if(on2){const{activeElement}=document;this.div.contains(activeElement)&&
+(this.#focusedElement=activeElement);return}this.#focusedElement&&setTimeout(()=>{this.#focusedElement?.focus(),this.#focusedElement=null},0)}endDrawingSession(isAborted=!1){return this.#drawingAC?(this.#uiManager.setCurrentDrawingSession(null),this.#drawingAC.abort(),this.#drawingAC=null,this.#focusedElement=null,this.#currentEditorType.endDrawing(isAborted)):null}findNewParent(editor,x,y){const layer=this.#uiManager.findParent(x,y);return layer===null||layer===this?!1:(layer.changeParent(editor),
+!0)}commitOrRemove(){return this.#drawingAC?(this.endDrawingSession(),!0):!1}onScaleChanging(){this.#drawingAC&&this.#currentEditorType.onScaleChangingWhenDrawing(this)}destroy(){this.commitOrRemove(),this.#uiManager.getActive()?.parent===this&&(this.#uiManager.commitOrRemove(),this.#uiManager.setActiveEditor(null)),this.#editorFocusTimeoutId&&(clearTimeout(this.#editorFocusTimeoutId),this.#editorFocusTimeoutId=null);for(const editor of this.#editors.values())this.#accessibilityManager?.removePointerInTextLayer(
+editor.contentDiv),editor.setParent(null),editor.isAttachedToDOM=!1,editor.div.remove();this.div=null,this.#editors.clear(),this.#uiManager.removeLayer(this)}#cleanup(){for(const editor of this.#editors.values())editor.isEmpty()&&editor.remove()}render({viewport}){this.viewport=viewport,setLayerDimensions(this.div,viewport);for(const editor of this.#uiManager.getEditors(this.pageIndex))this.add(editor),editor.rebuild();this.updateMode()}update({viewport}){this.#uiManager.commitOrRemove(),this.#cleanup();
+const oldRotation=this.viewport.rotation,rotation=viewport.rotation;if(this.viewport=viewport,setLayerDimensions(this.div,{rotation}),oldRotation!==rotation)for(const editor of this.#editors.values())editor.rotate(rotation)}get pageDimensions(){const{pageWidth,pageHeight}=this.viewport.rawDims;return[pageWidth,pageHeight]}get scale(){return this.#uiManager.viewParameters.realScale}}class DrawLayer{#parent=null;#mapping=new Map;#toUpdate=new Map;static#id=0;constructor({pageIndex}){this.pageIndex=
+pageIndex}setParent(parent){if(!this.#parent){this.#parent=parent;return}if(this.#parent!==parent){if(this.#mapping.size>0)for(const root2 of this.#mapping.values())root2.remove(),parent.append(root2);this.#parent=parent}}static get _svgFactory(){return shadow(this,"_svgFactory",new DOMSVGFactory)}static#setBox(element2,[x,y,width,height]){const{style:style2}=element2;style2.top=`${100*y}%`,style2.left=`${100*x}%`,style2.width=`${100*width}%`,style2.height=`${100*height}%`}#createSVG(){const svg2=DrawLayer.
+_svgFactory.create(1,1,!0);return this.#parent.append(svg2),svg2.setAttribute("aria-hidden",!0),svg2}#createClipPath(defs,pathId){const clipPath=DrawLayer._svgFactory.createElement("clipPath");defs.append(clipPath);const clipPathId=`clip_${pathId}`;clipPath.setAttribute("id",clipPathId),clipPath.setAttribute("clipPathUnits","objectBoundingBox");const clipPathUse=DrawLayer._svgFactory.createElement("use");return clipPath.append(clipPathUse),clipPathUse.setAttribute("href",`#${pathId}`),clipPathUse.
+classList.add("clip"),clipPathId}#updateProperties(element2,properties2){for(const[key2,value]of Object.entries(properties2))value===null?element2.removeAttribute(key2):element2.setAttribute(key2,value)}draw(properties2,isPathUpdatable=!1,hasClip=!1){const id2=DrawLayer.#id++,root2=this.#createSVG(),defs=DrawLayer._svgFactory.createElement("defs");root2.append(defs);const path2=DrawLayer._svgFactory.createElement("path");defs.append(path2);const pathId=`path_p${this.pageIndex}_${id2}`;path2.setAttribute(
+"id",pathId),path2.setAttribute("vector-effect","non-scaling-stroke"),isPathUpdatable&&this.#toUpdate.set(id2,path2);const clipPathId=hasClip?this.#createClipPath(defs,pathId):null,use=DrawLayer._svgFactory.createElement("use");return root2.append(use),use.setAttribute("href",`#${pathId}`),this.updateProperties(root2,properties2),this.#mapping.set(id2,root2),{id:id2,clipPathId:`url(#${clipPathId})`}}drawOutline(properties2,mustRemoveSelfIntersections){const id2=DrawLayer.#id++,root2=this.#createSVG(),
+defs=DrawLayer._svgFactory.createElement("defs");root2.append(defs);const path2=DrawLayer._svgFactory.createElement("path");defs.append(path2);const pathId=`path_p${this.pageIndex}_${id2}`;path2.setAttribute("id",pathId),path2.setAttribute("vector-effect","non-scaling-stroke");let maskId;if(mustRemoveSelfIntersections){const mask=DrawLayer._svgFactory.createElement("mask");defs.append(mask),maskId=`mask_p${this.pageIndex}_${id2}`,mask.setAttribute("id",maskId),mask.setAttribute("maskUnits","obje\
+ctBoundingBox");const rect=DrawLayer._svgFactory.createElement("rect");mask.append(rect),rect.setAttribute("width","1"),rect.setAttribute("height","1"),rect.setAttribute("fill","white");const use=DrawLayer._svgFactory.createElement("use");mask.append(use),use.setAttribute("href",`#${pathId}`),use.setAttribute("stroke","none"),use.setAttribute("fill","black"),use.setAttribute("fill-rule","nonzero"),use.classList.add("mask")}const use1=DrawLayer._svgFactory.createElement("use");root2.append(use1),
+use1.setAttribute("href",`#${pathId}`),maskId&&use1.setAttribute("mask",`url(#${maskId})`);const use2=use1.cloneNode();return root2.append(use2),use1.classList.add("mainOutline"),use2.classList.add("secondaryOutline"),this.updateProperties(root2,properties2),this.#mapping.set(id2,root2),id2}finalizeDraw(id2,properties2){this.#toUpdate.delete(id2),this.updateProperties(id2,properties2)}updateProperties(elementOrId,properties2){if(!properties2)return;const{root:root2,bbox,rootClass,path:path2}=properties2,
+element2=typeof elementOrId=="number"?this.#mapping.get(elementOrId):elementOrId;if(element2){if(root2&&this.#updateProperties(element2,root2),bbox&&DrawLayer.#setBox(element2,bbox),rootClass){const{classList}=element2;for(const[className,value]of Object.entries(rootClass))classList.toggle(className,value)}if(path2){const pathElement=element2.firstChild.firstChild;this.#updateProperties(pathElement,path2)}}}updateParent(id2,layer){if(layer===this)return;const root2=this.#mapping.get(id2);root2&&
+(layer.#parent.append(root2),this.#mapping.delete(id2),layer.#mapping.set(id2,root2))}remove(id2){this.#toUpdate.delete(id2),this.#parent!==null&&(this.#mapping.get(id2).remove(),this.#mapping.delete(id2))}destroy(){this.#parent=null;for(const root2 of this.#mapping.values())root2.remove();this.#mapping.clear(),this.#toUpdate.clear()}}globalThis._pdfjsTestingUtils={HighlightOutliner};globalThis.pdfjsLib={AbortException,AnnotationEditorLayer,AnnotationEditorParamsType,AnnotationEditorType,AnnotationEditorUIManager,
+AnnotationLayer,AnnotationMode,AnnotationType,build,ColorPicker,createValidAbsoluteUrl,DOMSVGFactory,DrawLayer,FeatureTest:util_FeatureTest,fetchData,getDocument,getFilenameFromUrl,getPdfFilenameFromUrl,getRGB,getUuid,getXfaPageViewport,GlobalWorkerOptions,ImageKind:util_ImageKind,InvalidPDFException,isDataScheme,isPdfFile,isValidExplicitDest,MathClamp,noContextMenu,normalizeUnicode,OPS,OutputScale,PasswordResponses,PDFDataRangeTransport,PDFDateString,PDFWorker,PermissionFlag,PixelsPerInch,RenderingCancelledException,
+ResponseException,setLayerDimensions,shadow,SignatureExtractor,stopEvent,SupportedImageMimeTypes,TextLayer,TouchManager,updateUrlHash,Util,VerbosityLevel,version:version$1,XfaLayer};__vitePreload(()=>Promise.resolve().then(()=>pdf_worker_min$1),[],import.meta.url).then(workerModule=>{const workerBlob=new Blob([workerModule.default],{type:"application/javascript"});GlobalWorkerOptions.workerSrc=URL.createObjectURL(workerBlob)}).catch(()=>{console.warn("Failed to load PDF.js worker, \
+PDF processing may not work")});async function getFileAsBuffer(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=event2=>{event2.target?.result?resolve2(event2.target.result):reject(new Error("Failed to read file."))},reader.onerror=()=>{reject(new Error("Failed to read file."))},reader.readAsArrayBuffer(file)})}async function convertPDFToText(file){try{const buffer=await getFileAsBuffer(file),pdf=await getDocument(buffer).promise,numPages=pdf.numPages,textContentPromises=[];
+for(let i=1;i<=numPages;i++)textContentPromises.push(pdf.getPage(i).then(page2=>page2.getTextContent()));return(await Promise.all(textContentPromises)).flatMap(textContent=>textContent.items.map(item=>item.str??"")).join(`
+`)}catch(error2){throw console.error("Error converting PDF to text:",error2),new Error(`Failed to convert PDF to text: ${error2 instanceof Error?error2.message:"Unknown error"}`)}}async function convertPDFToImage(file,scale2=1.5){try{const buffer=await getFileAsBuffer(file),doc=await getDocument(buffer).promise,pages=[];for(let i=1;i<=doc.numPages;i++){const page2=await doc.getPage(i),viewport=page2.getViewport({scale:scale2}),canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(canvas.
+width=viewport.width,canvas.height=viewport.height,!ctx)throw new Error("Failed to get 2D context from canvas");const task=page2.render({canvasContext:ctx,viewport,canvas});pages.push(task.promise.then(()=>canvas.toDataURL(MimeTypeImage.PNG)))}return await Promise.all(pages)}catch(error2){throw console.error("Error converting PDF to images:",error2),new Error(`Failed to convert PDF to images: ${error2 instanceof Error?error2.message:"Unknown error"}`)}}function svgBase64UrlToPngDataURL(base64UrlSvg,backgroundColor="\
+white"){return new Promise((resolve2,reject)=>{try{const img=new Image;img.onload=()=>{const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(!ctx){reject(new Error("Failed to get 2D canvas context."));return}const targetWidth=img.naturalWidth||300,targetHeight=img.naturalHeight||300;canvas.width=targetWidth,canvas.height=targetHeight,backgroundColor&&(ctx.fillStyle=backgroundColor,ctx.fillRect(0,0,canvas.width,canvas.height)),ctx.drawImage(img,0,0,targetWidth,targetHeight),
+resolve2(canvas.toDataURL(MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load SVG image. Ensure the SVG data is valid."))},img.src=base64UrlSvg}catch(error2){const errorMessage=`Error converting SVG to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isSvgMimeType(mimeType){return mimeType===MimeTypeImage.SVG}function webpBase64UrlToPngDataURL(base64UrlWebp,backgroundColor="white"){return new Promise(
+(resolve2,reject)=>{try{const img=new Image;img.onload=()=>{const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(!ctx){reject(new Error("Failed to get 2D canvas context."));return}const targetWidth=img.naturalWidth||300,targetHeight=img.naturalHeight||300;canvas.width=targetWidth,canvas.height=targetHeight,backgroundColor&&(ctx.fillStyle=backgroundColor,ctx.fillRect(0,0,canvas.width,canvas.height)),ctx.drawImage(img,0,0,targetWidth,targetHeight),resolve2(canvas.toDataURL(
+MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load WebP image. Ensure the WebP data is valid."))},img.src=base64UrlWebp}catch(error2){const errorMessage=`Error converting WebP to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isWebpMimeType(mimeType){return mimeType===MimeTypeImage.WEBP}class ChatService{static async sendMessage(messages,options={},conversationId,signal){const{stream,
+onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,tools,temperature,max_tokens,dynatemp_range,dynatemp_exponent,top_k,top_p,min_p,xtc_probability,xtc_threshold,typ_p,repeat_last_n,repeat_penalty,presence_penalty,frequency_penalty,dry_multiplier,dry_base,dry_allowed_length,dry_penalty_last_n,samplers,backend_sampling,custom:custom2,timings_per_token,disableReasoningParsing,excludeReasoningFromContext}=options,normalizedMessages=messages.map(msg=>{if("id"in msg&&"convId"in
+msg&&"timestamp"in msg){const dbMsg=msg;return ChatService.convertDbMessageToApiChatMessageData(dbMsg)}else return msg}).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);options.model&&!modelsStore.modelSupportsVision(options.model)&&normalizedMessages.forEach(msg=>{Array.isArray(msg.content)&&(msg.content=msg.content.filter(part=>part.type===ContentPartType.IMAGE_URL?(console.info(`[ChatService] Skipping image attachment in message hist\
+ory (model "${options.model}" does not support vision)`),!1):!0),msg.content.length===1&&msg.content[0].type===ContentPartType.TEXT&&(msg.content=msg.content[0].text))});const requestBody={messages:normalizedMessages.map(msg=>{const mapped={role:msg.role,content:msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoningFromContext&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream,return_progress:stream?!0:void 0,tools:tools&&
+tools.length>0?tools:void 0};if(options.model&&(requestBody.model=options.model),requestBody.reasoning_format=disableReasoningParsing?ReasoningFormat.NONE:ReasoningFormat.AUTO,temperature!==void 0&&(requestBody.temperature=temperature),max_tokens!==void 0&&(requestBody.max_tokens=max_tokens!==null&&max_tokens!==0?max_tokens:-1),dynatemp_range!==void 0&&(requestBody.dynatemp_range=dynatemp_range),dynatemp_exponent!==void 0&&(requestBody.dynatemp_exponent=dynatemp_exponent),top_k!==void 0&&(requestBody.
+top_k=top_k),top_p!==void 0&&(requestBody.top_p=top_p),min_p!==void 0&&(requestBody.min_p=min_p),xtc_probability!==void 0&&(requestBody.xtc_probability=xtc_probability),xtc_threshold!==void 0&&(requestBody.xtc_threshold=xtc_threshold),typ_p!==void 0&&(requestBody.typ_p=typ_p),repeat_last_n!==void 0&&(requestBody.repeat_last_n=repeat_last_n),repeat_penalty!==void 0&&(requestBody.repeat_penalty=repeat_penalty),presence_penalty!==void 0&&(requestBody.presence_penalty=presence_penalty),frequency_penalty!==
+void 0&&(requestBody.frequency_penalty=frequency_penalty),dry_multiplier!==void 0&&(requestBody.dry_multiplier=dry_multiplier),dry_base!==void 0&&(requestBody.dry_base=dry_base),dry_allowed_length!==void 0&&(requestBody.dry_allowed_length=dry_allowed_length),dry_penalty_last_n!==void 0&&(requestBody.dry_penalty_last_n=dry_penalty_last_n),samplers!==void 0&&(requestBody.samplers=typeof samplers=="string"?samplers.split(";").filter(s2=>s2.trim()):samplers),backend_sampling!==void 0&&(requestBody.backend_sampling=
+backend_sampling),timings_per_token!==void 0&&(requestBody.timings_per_token=timings_per_token),custom2)try{const customParams=typeof custom2=="string"?JSON.parse(custom2):custom2;Object.assign(requestBody,customParams)}catch(error2){console.warn("Failed to parse custom parameters:",error2)}try{const response=await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal});if(!response.ok){const error2=await ChatService.parseErrorResponse(response);
+throw onError&&onError(error2),error2}if(stream){await ChatService.handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,signal);return}else return ChatService.handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel)}catch(error2){if(isAbortError(error2)){console.log("Chat completion request was aborted");return}let userFriendlyError;throw error2 instanceof Error?error2.name==="TypeError"&&error2.message.includes(
+"fetch")?(userFriendlyError=new Error("Unable to connect to server - please check if the server is running"),userFriendlyError.name="NetworkError"):error2.message.includes("ECONNREFUSED")?(userFriendlyError=new Error("Connection refused - server may be offline"),userFriendlyError.name="NetworkError"):error2.message.includes("ETIMEDOUT")?(userFriendlyError=new Error("Request timed out - the server took too long to respond"),userFriendlyError.name="TimeoutError"):userFriendlyError=error2:userFriendlyError=
+new Error("Unknown error occurred while sending message"),console.error("Error in sendMessage:",error2),onError&&onError(userFriendlyError),userFriendlyError}}static async areAllSlotsIdle(model,signal){try{const url2=model?`./slots?model=${encodeURIComponent(model)}`:"./slots",res=await fetch(url2,{signal});return res.ok?(await res.json()).every(s2=>!s2.is_processing):!0}catch{return!0}}static async preEncode(messages,model,excludeReasoning,signal){const requestBody={messages:messages.map(msg=>"\
+id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0).map(msg=>{const mapped={role:msg.role,content:excludeReasoning?ChatService.stripReasoningContent(msg.content):msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoning&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream:!1,
+n_predict:0};model&&(requestBody.model=model);try{await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal})}catch(error2){isAbortError(error2)||console.warn("[ChatService] Pre-encode request failed:",error2)}}static async handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,abortSignal){const reader=response.body?.getReader();if(!reader)throw new Error("No response bo\
+dy");const decoder=new TextDecoder;let aggregatedContent="",fullReasoningContent="",aggregatedToolCalls=[],lastTimings,streamFinished=!1,modelEmitted=!1,toolCallIndexOffset=0,hasOpenToolCallBatch=!1;const finalizeOpenToolCallBatch=()=>{hasOpenToolCallBatch&&(toolCallIndexOffset=aggregatedToolCalls.length,hasOpenToolCallBatch=!1)},processToolCallDelta=toolCalls=>{if(!toolCalls||toolCalls.length===0||(aggregatedToolCalls=ChatService.mergeToolCallDeltas(aggregatedToolCalls,toolCalls,toolCallIndexOffset),
+aggregatedToolCalls.length===0))return;hasOpenToolCallBatch=!0;const serializedToolCalls=JSON.stringify(aggregatedToolCalls);serializedToolCalls&&(abortSignal?.aborted||onToolCallChunk?.(serializedToolCalls))};try{let chunk="";for(;!abortSignal?.aborted;){const{done,value}=await reader.read();if(done||abortSignal?.aborted)break;chunk+=decoder.decode(value,{stream:!0});const lines=chunk.split(`
+`);chunk=lines.pop()||"";for(const line of lines){if(abortSignal?.aborted)break;if(line.startsWith(UrlProtocol.DATA)){const data=line.slice(6);if(data==="[DONE]"){streamFinished=!0;continue}try{const parsed=JSON.parse(data),content2=parsed.choices[0]?.delta?.content,reasoningContent=parsed.choices[0]?.delta?.reasoning_content,toolCalls=parsed.choices[0]?.delta?.tool_calls,timings=parsed.timings,promptProgress=parsed.prompt_progress,chunkModel=ChatService.extractModelName(parsed);chunkModel&&!modelEmitted&&
+(modelEmitted=!0,onModel?.(chunkModel)),promptProgress&&ChatService.notifyTimings(void 0,promptProgress,onTimings),timings&&(ChatService.notifyTimings(timings,promptProgress,onTimings),lastTimings=timings),content2&&(finalizeOpenToolCallBatch(),aggregatedContent+=content2,abortSignal?.aborted||onChunk?.(content2)),reasoningContent&&(finalizeOpenToolCallBatch(),fullReasoningContent+=reasoningContent,abortSignal?.aborted||onReasoningChunk?.(reasoningContent)),processToolCallDelta(toolCalls)}catch(e){
+console.error("Error parsing JSON chunk:",e)}}}if(abortSignal?.aborted)break}if(abortSignal?.aborted)return;if(streamFinished){finalizeOpenToolCallBatch();const finalToolCalls=aggregatedToolCalls.length>0?JSON.stringify(aggregatedToolCalls):void 0;onComplete?.(aggregatedContent,fullReasoningContent||void 0,lastTimings,finalToolCalls)}}catch(error2){const err=error2 instanceof Error?error2:new Error("Stream error");throw onError?.(err),err}finally{reader.releaseLock()}}static async handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel){
+try{const responseText=await response.text();if(!responseText.trim())throw new Error("No response received from server. Please try again.");const data=JSON.parse(responseText),responseModel=ChatService.extractModelName(data);responseModel&&onModel?.(responseModel);const content2=data.choices[0]?.message?.content||"",reasoningContent=data.choices[0]?.message?.reasoning_content,toolCalls=data.choices[0]?.message?.tool_calls;let serializedToolCalls;if(toolCalls&&toolCalls.length>0){const mergedToolCalls=ChatService.
+mergeToolCallDeltas([],toolCalls);mergedToolCalls.length>0&&(serializedToolCalls=JSON.stringify(mergedToolCalls),serializedToolCalls&&onToolCallChunk?.(serializedToolCalls))}if(!content2.trim()&&!serializedToolCalls)throw new Error("No response received from server. Please try again.");return onComplete?.(content2,reasoningContent,void 0,serializedToolCalls),content2}catch(error2){const err=error2 instanceof Error?error2:new Error("Parse error");throw onError?.(err),err}}static mergeToolCallDeltas(existing,deltas,indexOffset=0){
+const result=existing.map(call=>({...call,function:call.function?{...call.function}:void 0}));for(const delta of deltas){const index2=typeof delta.index=="number"&&delta.index>=0?delta.index+indexOffset:result.length;for(;result.length<=index2;)result.push({function:void 0});const target2=result[index2];if(delta.id&&(target2.id=delta.id),delta.type&&(target2.type=delta.type),delta.function){const fn=target2.function?{...target2.function}:{};delta.function.name&&(fn.name=delta.function.name),delta.
+function.arguments&&(fn.arguments=(fn.arguments??"")+delta.function.arguments),target2.function=fn}}return result}static convertDbMessageToApiChatMessageData(message){if(message.role===MessageRole.TOOL&&message.toolCallId)return{role:MessageRole.TOOL,content:message.content,tool_call_id:message.toolCallId};let toolCalls;if(message.toolCalls)try{toolCalls=JSON.parse(message.toolCalls)}catch{}if(!message.extra||message.extra.length===0){const result2={role:message.role,content:message.content};return message.
+reasoningContent&&(result2.reasoning_content=message.reasoningContent),toolCalls&&toolCalls.length>0&&(result2.tool_calls=toolCalls),result2}const contentParts=[];message.content&&contentParts.push({type:ContentPartType.TEXT,text:message.content});const imageFiles=message.extra.filter(extra=>extra.type===AttachmentType.IMAGE);for(const image2 of imageFiles)contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:image2.base64Url}});const textFiles=message.extra.filter(extra=>extra.type===
+AttachmentType.TEXT);for(const textFile of textFiles)contentParts.push({type:ContentPartType.TEXT,text:formatAttachmentText("File",textFile.name,textFile.content)});const legacyContextFiles=message.extra.filter(extra=>extra.type===AttachmentType.LEGACY_CONTEXT);for(const legacyContextFile of legacyContextFiles)contentParts.push({type:ContentPartType.TEXT,text:formatAttachmentText("File",legacyContextFile.name,legacyContextFile.content)});const audioFiles=message.extra.filter(extra=>extra.type===
+AttachmentType.AUDIO);for(const audio of audioFiles)contentParts.push({type:ContentPartType.INPUT_AUDIO,input_audio:{data:audio.base64Data,format:audio.mimeType.includes("wav")?"wav":"mp3"}});const pdfFiles=message.extra.filter(extra=>extra.type===AttachmentType.PDF);for(const pdfFile of pdfFiles)if(pdfFile.processedAsImages&&pdfFile.images)for(let i=0;i<pdfFile.images.length;i++)contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:pdfFile.images[i]}});else contentParts.push({type:ContentPartType.
+TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_PDF_FILE,pdfFile.name,pdfFile.content)});const mcpPrompts=message.extra.filter(extra=>extra.type===AttachmentType.MCP_PROMPT);for(const mcpPrompt of mcpPrompts)contentParts.push({type:ContentPartType.TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_MCP_PROMPT,mcpPrompt.name,mcpPrompt.content,mcpPrompt.serverName)});const mcpResources2=message.extra.filter(extra=>extra.type===AttachmentType.MCP_RESOURCE);for(const mcpResource of mcpResources2)contentParts.
+push({type:ContentPartType.TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_MCP_RESOURCE,mcpResource.name,mcpResource.content,mcpResource.serverName)});const result={role:message.role,content:contentParts};return message.reasoningContent&&(result.reasoning_content=message.reasoningContent),toolCalls&&toolCalls.length>0&&(result.tool_calls=toolCalls),result}static stripReasoningContent(content2){const stripFromString=text2=>text2.replace(LEGACY_AGENTIC_REGEX.REASONING_BLOCK,"").trim();return typeof content2==
+"string"?stripFromString(content2):content2.map(part=>part.type===ContentPartType.TEXT&&part.text?{...part,text:stripFromString(part.text)}:part)}static async parseErrorResponse(response){try{const errorText=await response.text(),errorData=JSON.parse(errorText),message=errorData.error?.message||"Unknown server error",error2=new Error(message);return error2.name=response.status===400?"ServerError":"HttpError",errorData.error&&"n_prompt_tokens"in errorData.error&&"n_ctx"in errorData.error&&(error2.
+contextInfo={n_prompt_tokens:errorData.error.n_prompt_tokens,n_ctx:errorData.error.n_ctx}),error2}catch{const fallback2=new Error(`Server error (${response.status}): ${response.statusText}`);return fallback2.name="HttpError",fallback2}}static extractModelName(data){const asRecord=value=>typeof value=="object"&&value!==null?value:void 0,getTrimmedString=value=>typeof value=="string"&&value.trim()?value.trim():void 0,root2=asRecord(data);if(!root2)return;const rootModel=getTrimmedString(root2.model);
+if(rootModel)return rootModel;const firstChoice=Array.isArray(root2.choices)?asRecord(root2.choices[0]):void 0;if(!firstChoice)return;const deltaModel=getTrimmedString(asRecord(firstChoice.delta)?.model);if(deltaModel)return deltaModel;const messageModel=getTrimmedString(asRecord(firstChoice.message)?.model);if(messageModel)return messageModel}static notifyTimings(timings,promptProgress,onTimingsCallback){!onTimingsCallback||!timings&&!promptProgress||onTimingsCallback(timings,promptProgress)}}class ModelsService{static async list(){
+return apiFetch(API_MODELS.LIST)}static async listRouter(){return apiFetch(API_MODELS.LIST)}static async load(modelId,extraArgs){const payload={model:modelId};return extraArgs&&extraArgs.length>0&&(payload.extra_args=extraArgs),apiPost(API_MODELS.LOAD,payload)}static async unload(modelId){return apiPost(API_MODELS.UNLOAD,{model:modelId})}static isModelLoaded(model){return model.status.value===ServerModelStatus.LOADED}static isModelLoading(model){return model.status.value===ServerModelStatus.LOADING}static parseModelId(modelId){
+const result={raw:modelId,orgName:null,modelName:null,params:null,activatedParams:null,quantization:null,tags:[]},colonIdx=modelId.indexOf(MODEL_ID_QUANTIZATION_SEPARATOR);let modelPath;colonIdx!==MODEL_ID_NOT_FOUND?(result.quantization=modelId.slice(colonIdx+1)||null,modelPath=modelId.slice(0,colonIdx)):modelPath=modelId;const slashIdx=modelPath.indexOf(MODEL_ID_ORG_SEPARATOR);let modelStr;slashIdx!==MODEL_ID_NOT_FOUND?(result.orgName=modelPath.slice(0,slashIdx),modelStr=modelPath.slice(slashIdx+
+1)):modelStr=modelPath;const dotIdx=modelStr.lastIndexOf(".");if(dotIdx!==MODEL_ID_NOT_FOUND&&!result.quantization){const afterDot=modelStr.slice(dotIdx+1);MODEL_QUANTIZATION_SEGMENT_RE.test(afterDot)&&(result.quantization=afterDot,modelStr=modelStr.slice(0,dotIdx))}const segments=modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);if(!result.quantization&&segments.length>1){const last=segments[segments.length-1],secondLast=segments.length>2?segments[segments.length-2]:null;MODEL_QUANTIZATION_SEGMENT_RE.
+test(last)&&(secondLast&&MODEL_CUSTOM_QUANTIZATION_PREFIX_RE.test(secondLast)?(result.quantization=`${secondLast}-${last}`,segments.splice(segments.length-2,2)):(result.quantization=last,segments.pop()))}let paramsIdx=MODEL_ID_NOT_FOUND,activatedParamsIdx=MODEL_ID_NOT_FOUND;for(let i=0;i<segments.length;i++){const seg=segments[i];paramsIdx===MODEL_ID_NOT_FOUND&&MODEL_PARAMS_RE.test(seg)?(paramsIdx=i,result.params=seg.toUpperCase()):paramsIdx!==MODEL_ID_NOT_FOUND&&MODEL_ACTIVATED_PARAMS_RE.test(seg)&&
+(activatedParamsIdx=i,result.activatedParams=seg.toUpperCase())}const pivotIdx=paramsIdx!==MODEL_ID_NOT_FOUND?paramsIdx:segments.length;return result.modelName=segments.slice(0,pivotIdx).join(MODEL_ID_SEGMENT_SEPARATOR)||null,paramsIdx!==MODEL_ID_NOT_FOUND&&(result.tags=segments.slice(paramsIdx+1).filter((_,relIdx)=>{const absIdx=paramsIdx+1+relIdx;return absIdx===activatedParamsIdx?!1:!MODEL_IGNORED_SEGMENTS.has(segments[absIdx].toUpperCase())})),result}}class ModelsStore{#models=state$1(proxy(
+[]));get models(){return get$4(this.#models)}set models(value){set$1(this.#models,value,!0)}#routerModels=state$1(proxy([]));get routerModels(){return get$4(this.#routerModels)}set routerModels(value){set$1(this.#routerModels,value,!0)}#loading=state$1(!1);get loading(){return get$4(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#updating=state$1(!1);get updating(){return get$4(this.#updating)}set updating(value){set$1(this.#updating,value,!0)}#error=state$1(null);get error(){return get$4(
+this.#error)}set error(value){set$1(this.#error,value,!0)}#selectedModelId=state$1(null);get selectedModelId(){return get$4(this.#selectedModelId)}set selectedModelId(value){set$1(this.#selectedModelId,value,!0)}#selectedModelName=state$1(null);get selectedModelName(){return get$4(this.#selectedModelName)}set selectedModelName(value){set$1(this.#selectedModelName,value,!0)}#modelUsage=state$1(proxy(new Map));get modelUsage(){return get$4(this.#modelUsage)}set modelUsage(value){set$1(this.#modelUsage,
+value,!0)}modelLoadingStates=new SvelteMap;#favoriteModelIds=state$1(proxy(this.loadFavoritesFromStorage()));get favoriteModelIds(){return get$4(this.#favoriteModelIds)}set favoriteModelIds(value){set$1(this.#favoriteModelIds,value,!0)}modelPropsCache=new TTLCache({ttlMs:MODEL_PROPS_CACHE_TTL_MS,maxEntries:MODEL_PROPS_CACHE_MAX_ENTRIES});#modelPropsFetching=state$1(proxy(new Set));get modelPropsFetching(){return get$4(this.#modelPropsFetching)}set modelPropsFetching(value){set$1(this.#modelPropsFetching,
+value,!0)}#propsCacheVersion=state$1(0);get propsCacheVersion(){return get$4(this.#propsCacheVersion)}set propsCacheVersion(value){set$1(this.#propsCacheVersion,value,!0)}get selectedModel(){return this.selectedModelId?this.models.find(model=>model.id===this.selectedModelId)??null:null}get loadedModelIds(){return this.routerModels.filter(m=>m.status.value===ServerModelStatus.LOADED||m.status.value===ServerModelStatus.SLEEPING).map(m=>m.id)}get loadingModelIds(){return Array.from(this.modelLoadingStates.
+entries()).filter(([,loading])=>loading).map(([id2])=>id2)}get singleModelName(){if(serverStore.isRouterMode)return null;const props=serverStore.props;return props?.model_alias?props.model_alias:props?.model_path&&props.model_path.split(/(\\|\/)/).pop()||null}getModelModalities(modelId){const model=this.models.find(m=>m.model===modelId||m.id===modelId);if(model?.modalities)return model.modalities;const props=this.modelPropsCache.get(modelId);return props?.modalities?{vision:props.modalities.vision??
+!1,audio:props.modalities.audio??!1}:null}modelSupportsVision(modelId){return this.getModelModalities(modelId)?.vision??!1}modelSupportsAudio(modelId){return this.getModelModalities(modelId)?.audio??!1}getModelModalitiesArray(modelId){const modalities=this.getModelModalities(modelId);if(!modalities)return[];const result=[];return modalities.vision&&result.push(ModelModality.VISION),modalities.audio&&result.push(ModelModality.AUDIO),result}getModelProps(modelId){return this.modelPropsCache.get(modelId)}getModelContextSize(modelId){
+const nCtx=this.getModelProps(modelId)?.default_generation_settings?.n_ctx;return typeof nCtx=="number"?nCtx:null}get selectedModelContextSize(){return this.selectedModelName?this.getModelContextSize(this.selectedModelName):null}isModelPropsFetching(modelId){return this.modelPropsFetching.has(modelId)}isModelLoaded(modelId){const model=this.routerModels.find(m=>m.id===modelId);return model?.status.value===ServerModelStatus.LOADED||model?.status.value===ServerModelStatus.SLEEPING||!1}isModelOperationInProgress(modelId){
+return this.modelLoadingStates.get(modelId)??!1}getModelStatus(modelId){return this.routerModels.find(m=>m.id===modelId)?.status.value??null}getModelUsage(modelId){return this.modelUsage.get(modelId)??new SvelteSet}isModelInUse(modelId){const usage=this.modelUsage.get(modelId);return usage!==void 0&&usage.size>0}async fetch(force=!1){if(!this.loading&&!(this.models.length>0&&!force)){this.loading=!0,this.error=null;try{serverStore.props||await serverStore.fetch();const response=await ModelsService.
+list(),models=response.data.map((item,index2)=>{const details=response.models?.[index2],rawCapabilities=Array.isArray(details?.capabilities)?details?.capabilities:[],displayNameSource=details?.name&&details.name.trim().length>0?details.name:item.id,displayName=this.toDisplayName(displayNameSource),modelId=details?.model||item.id;return{id:item.id,name:displayName,model:modelId,description:details?.description,capabilities:rawCapabilities.filter(value=>!!value),details:details?.details,meta:item.
+meta??null,parsedId:ModelsService.parseModelId(modelId),aliases:item.aliases??[],tags:item.tags??[]}});this.models=models;const serverProps2=serverStore.props;if(serverStore.isModelMode&&this.models.length>0&&serverProps2?.modalities){const modalities={vision:serverProps2.modalities.vision??!1,audio:serverProps2.modalities.audio??!1};this.modelPropsCache.set(this.models[0].model,serverProps2),this.models=this.models.map((model,index2)=>index2===0?{...model,modalities}:model)}}catch(error2){throw this.
+models=[],this.error=error2 instanceof Error?error2.message:"Failed to load models",error2}finally{this.loading=!1}}}async fetchRouterModels(){try{const response=await ModelsService.listRouter();this.routerModels=response.data,await this.fetchModalitiesForLoadedModels();const o=this.models.filter(option2=>this.getModelProps(option2.model)?.webui!==!1);o.length===1&&this.isModelLoaded(o[0].model)&&this.selectModelById(o[0].id)}catch(error2){console.warn("Failed to fetch router models:",error2),this.
+routerModels=[]}}async fetchModelProps(modelId){const cached2=this.modelPropsCache.get(modelId);if(cached2)return cached2;if(serverStore.isRouterMode&&!this.isModelLoaded(modelId)||this.modelPropsFetching.has(modelId))return null;this.modelPropsFetching.add(modelId);try{const props=await PropsService.fetchForModel(modelId);return this.modelPropsCache.set(modelId,props),props}catch(error2){return console.warn(`Failed to fetch props for model ${modelId}:`,error2),null}finally{this.modelPropsFetching.
+delete(modelId)}}async fetchModalitiesForLoadedModels(){const loadedModelIds2=this.loadedModelIds;if(loadedModelIds2.length===0)return;const propsPromises=loadedModelIds2.map(modelId=>this.fetchModelProps(modelId));try{const results=await Promise.all(propsPromises);this.models=this.models.map(model=>{const modelIndex=loadedModelIds2.indexOf(model.model);if(modelIndex===-1)return model;const props=results[modelIndex];if(!props?.modalities)return model;const modalities={vision:props.modalities.vision??
+!1,audio:props.modalities.audio??!1};return{...model,modalities}}),this.propsCacheVersion++}catch(error2){console.warn("Failed to fetch modalities for loaded models:",error2)}}async updateModelModalities(modelId){try{const props=await this.fetchModelProps(modelId);if(!props?.modalities)return;const modalities={vision:props.modalities.vision??!1,audio:props.modalities.audio??!1};this.models=this.models.map(model=>model.model===modelId?{...model,modalities}:model),this.propsCacheVersion++}catch(error2){
+console.warn(`Failed to update modalities for model ${modelId}:`,error2)}}async selectModelById(modelId){if(!modelId||this.updating||this.selectedModelId===modelId)return;const option2=this.models.find(model=>model.id===modelId);if(!option2)throw new Error("Selected model is not available");this.updating=!0,this.error=null;try{this.selectedModelId=option2.id,this.selectedModelName=option2.model}finally{this.updating=!1}}selectModelByName(modelName){const option2=this.models.find(model=>model.model===
+modelName);option2&&(this.selectedModelId=option2.id,this.selectedModelName=option2.model)}clearSelection(){this.selectedModelId=null,this.selectedModelName=null}findModelByName(modelName){return this.models.find(model=>model.model===modelName)??null}findModelById(modelId){return this.models.find(model=>model.id===modelId)??null}hasModel(modelName){return this.models.some(model=>model.model===modelName)}static STATUS_POLL_INTERVAL=500;async pollForModelStatus(modelId,expectedStatus){let attempt=0;
+for(;;){await this.fetchRouterModels();const currentStatus=this.getModelStatus(modelId);if(currentStatus===expectedStatus)return;if(currentStatus===ServerModelStatus.FAILED)throw new Error(`Model failed to ${expectedStatus===ServerModelStatus.LOADED?"load":"unload"}`);if(expectedStatus===ServerModelStatus.LOADED&&currentStatus===ServerModelStatus.UNLOADED&&attempt>2)throw new Error("Model was unloaded unexpectedly during loading");attempt++,await new Promise(resolve2=>setTimeout(resolve2,ModelsStore.
+STATUS_POLL_INTERVAL))}}async loadModel(modelId){if(!this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.load(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.LOADED),await this.updateModelModalities(modelId),toast.success(`Model loaded: ${this.toDisplayName(modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:"Failed to load model",toast.error(`Failed to l\
+oad model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async unloadModel(modelId){if(this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.unload(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.UNLOADED),toast.info(`Model unloaded: ${this.toDisplayName(modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:"Failed \
+to unload model",toast.error(`Failed to unload model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async ensureModelLoaded(modelId){this.isModelLoaded(modelId)||await this.loadModel(modelId)}isFavorite(modelId){return this.favoriteModelIds.has(modelId)}toggleFavorite(modelId){const next2=new SvelteSet(this.favoriteModelIds);next2.has(modelId)?next2.delete(modelId):next2.add(modelId),this.favoriteModelIds=next2;try{localStorage.setItem(FAVORITE_MODELS_LOCALSTORAGE_KEY,
+JSON.stringify([...next2]))}catch{toast.error("Failed to save favorite models to local storage")}}loadFavoritesFromStorage(){try{const raw2=localStorage.getItem(FAVORITE_MODELS_LOCALSTORAGE_KEY);return raw2?new Set(JSON.parse(raw2)):new Set}catch{return toast.error("Failed to load favorite models from local storage"),new Set}}toDisplayName(id2){const candidate=id2.split(/\\|\//).pop();return candidate&&candidate.trim().length>0?candidate:id2}clear(){this.models=[],this.routerModels=[],this.loading=
+!1,this.updating=!1,this.error=null,this.selectedModelId=null,this.selectedModelName=null,this.modelUsage.clear(),this.modelLoadingStates.clear(),this.modelPropsCache.clear(),this.modelPropsFetching.clear()}pruneExpiredCache(){return this.modelPropsCache.prune()}}const modelsStore=new ModelsStore,modelOptions=()=>modelsStore.models,routerModels=()=>modelsStore.routerModels,modelsLoading=()=>modelsStore.loading,modelsUpdating=()=>modelsStore.updating,selectedModelId=()=>modelsStore.selectedModelId,
+selectedModelName=()=>modelsStore.selectedModelName,singleModelName=()=>modelsStore.singleModelName,selectedModelContextSize=()=>modelsStore.selectedModelContextSize;function readFileAsBase64(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>{const base642=reader.result.split(",")[1];resolve2(base642)},reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}async function parseFilesToMessageExtras(files,activeModelId){const extras=[],emptyFiles=[];
+for(const file of files){if(file.type===SpecialFileType.MCP_PROMPT&&file.mcpPrompt){extras.push({type:AttachmentType.MCP_PROMPT,name:file.name,serverName:file.mcpPrompt.serverName,promptName:file.mcpPrompt.promptName,content:file.textContent??"",arguments:file.mcpPrompt.arguments});continue}if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){if(file.preview){let base64Url=file.preview;if(isSvgMimeType(file.type))try{base64Url=await svgBase64UrlToPngDataURL(base64Url)}catch(error2){console.
+error("Failed to convert SVG to PNG for database storage:",error2)}else if(isWebpMimeType(file.type))try{base64Url=await webpBase64UrlToPngDataURL(base64Url)}catch(error2){console.error("Failed to convert WebP to PNG for database storage:",error2)}extras.push({type:AttachmentType.IMAGE,name:file.name,base64Url})}}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)try{const base64Data=await readFileAsBase64(file.file);extras.push({type:AttachmentType.AUDIO,name:file.name,base64Data,mimeType:file.
+type})}catch(error2){console.error(`Failed to process audio file ${file.name}:`,error2)}else if(getFileTypeCategory(file.type)===FileTypeCategory.PDF)try{const base64Data=await readFileAsBase64(file.file),currentConfig=config$1(),hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1;let shouldProcessAsImages=!!currentConfig.pdfAsImage&&hasVisionSupport;if(currentConfig.pdfAsImage&&!hasVisionSupport&&(console.log("Non-vision model detected: forcing PDF-to-text mode and \
+updating settings"),settingsStore.updateConfig("pdfAsImage",!1),toast.warning("PDF setting changed: Non-vision model detected, PDFs will be processed as text instead of images.",{duration:5e3}),shouldProcessAsImages=!1),shouldProcessAsImages)try{const images=await convertPDFToImage(file.file);toast.success(`PDF "${file.name}" processed as ${images.length} images for vision model.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,content:`PDF file with ${images.length} pages`,images,
+processedAsImages:!0,base64Data})}catch(imageError){console.warn(`Failed to process PDF ${file.name} as images, falling back to text:`,imageError);const content2=await convertPDFToText(file.file);extras.push({type:AttachmentType.PDF,name:file.name,content:content2,processedAsImages:!1,base64Data})}else{const content2=await convertPDFToText(file.file);toast.success(`PDF "${file.name}" processed as text content.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,content:content2,
+processedAsImages:!1,base64Data})}}catch(error2){console.error(`Failed to process PDF file ${file.name}:`,error2)}else try{const content2=await readFileAsText(file.file);content2.trim()===""?(console.warn(`File ${file.name} is empty and will be skipped`),emptyFiles.push(file.name)):isLikelyTextFile(content2)?extras.push({type:AttachmentType.TEXT,name:file.name,content:content2}):console.warn(`File ${file.name} appears to be binary and will be skipped`)}catch(error2){console.error(`Failed to read\
+ file ${file.name}:`,error2)}}return{extras,emptyFiles}}function readFileAsDataURL(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}function readFileAsUTF8(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsText(file)})}async function processFilesToChatUploaded(files,activeModelId){
+const results=[];for(const file of files){const base2={id:Date.now().toString()+Math.random().toString(36).substr(2,9),name:file.name,size:file.size,type:file.type,file};try{if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){let preview=await readFileAsDataURL(file);if(isSvgMimeType(file.type))try{preview=await svgBase64UrlToPngDataURL(preview)}catch(err){console.error("Failed to convert SVG to PNG:",err)}else if(isWebpMimeType(file.type))try{preview=await webpBase64UrlToPngDataURL(preview)}catch(err){
+console.error("Failed to convert WebP to PNG:",err)}results.push({...base2,preview})}else if(getFileTypeCategory(file.type)===FileTypeCategory.PDF){try{const textContent=await convertPDFToText(file);results.push({...base2,textContent})}catch(err){console.warn("Failed to extract text from PDF, adding without content:",err),results.push(base2)}const hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1,currentConfig=settingsStore.config;hasVisionSupport&&!currentConfig.pdfAsImage&&
+toast.info("You can enable parsing PDF as images with vision models.",{duration:8e3,action:{label:"Enable PDF as Images",onClick:()=>{settingsStore.updateConfig("pdfAsImage",!0),toast.success("PDF parsing as images enabled!",{duration:3e3})}}})}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO){const preview=await readFileAsDataURL(file);results.push({...base2,preview})}else try{const textContent=await readFileAsUTF8(file);results.push({...base2,textContent})}catch(err){console.warn(
+"Failed to read file as text, adding without content:",err),results.push(base2)}}catch(error2){console.error("Error processing file",file.name,error2),results.push(base2)}}return results}var root_2$11=from_html("<!> Text",1),root_4$x=from_html('<div class="mr-1 h-4 w-4 animate-spin rounded-full border-2 border-current border-t-transparent"></div>'),root_3$T=from_html("<!> Pages",1),root_1$V=from_html('<div class="flex items-center gap-2"><!> <!></div>'),root_6$y=from_html('<div class="flex items\
+-center justify-center"><img class="max-h-full rounded-lg object-contain shadow-lg"/></div>'),root_12$9=from_html('<span class="inline-flex">The selected model does not support vision. Only the extracted  <span class="mx-1 cursor-pointer underline">text</span> will be sent to the model.</span>'),root_10$i=from_html("<!> <!> <!>",1),root_13$d=from_html('<div class="flex items-center justify-center p-8"><div class="text-center"><div class="mx-auto mb-4 h-8 w-8 animate-spin rounded-full border-4 bo\
+rder-primary border-t-transparent"></div> <p class="text-muted-foreground">Converting PDF to images...</p></div></div>'),root_15$6=from_html('<div class="flex items-center justify-center p-8"><div class="text-center"><!> <p class="mb-4 text-muted-foreground">Failed to load PDF images</p> <p class="text-sm text-muted-foreground"> </p> <!></div></div>'),root_19$3=from_html('<div class="text-center"><p class="mb-2 text-sm text-muted-foreground"> </p> <img class="mx-auto max-w-full rounded-lg shadow\
+-lg"/></div>'),root_18$6=from_html('<div class="max-h-[70vh] space-y-4 overflow-auto"></div>'),root_20$a=from_html('<div class="flex items-center justify-center p-8"><div class="text-center"><!> <p class="mb-4 text-muted-foreground">No PDF pages available</p></div></div>'),root_8$o=from_html("<!> <!>",1),root_25=from_html('<audio controls class="mb-4 w-full">Your browser does not support the audio element.</audio>'),root_27$2=from_html('<audio controls class="mb-4 w-full">Your browser does not s\
+upport the audio element.</audio>'),root_28$4=from_html('<p class="mb-4 text-muted-foreground">Audio preview not available</p>'),root_24$3=from_html('<div class="flex items-center justify-center p-8"><div class="w-full max-w-md text-center"><!> <!> <p class="text-sm text-muted-foreground"> </p></div></div>'),root_29$2=from_html('<div class="flex items-center justify-center p-8"><div class="text-center"><!> <p class="mb-4 text-muted-foreground">Preview not available for this file type</p></div></\
+div>'),root$1q=from_html('<div class="space-y-4"><div class="flex items-center justify-end gap-6"><!></div> <div class="flex-1 overflow-auto"><!></div></div>');function ChatAttachmentPreview($$anchor,$$props){push$1($$props,!0);let hasVisionModality=user_derived(()=>$$props.activeModelId?modelsStore.modelSupportsVision($$props.activeModelId):!1),displayName=user_derived(()=>$$props.uploadedFile?.name||$$props.attachment?.name||$$props.name||"Unknown File"),isAudio=user_derived(()=>isAudioFile($$props.
+attachment,$$props.uploadedFile)),isImage2=user_derived(()=>isImageFile($$props.attachment,$$props.uploadedFile)),isPdf=user_derived(()=>isPdfFile$1($$props.attachment,$$props.uploadedFile)),isText=user_derived(()=>isTextFile($$props.attachment,$$props.uploadedFile)),displayPreview=user_derived(()=>$$props.uploadedFile?.preview||(get$4(isImage2)&&$$props.attachment&&"base64Url"in $$props.attachment?$$props.attachment.base64Url:$$props.preview)),displayTextContent=user_derived(()=>$$props.uploadedFile?.
+textContent||($$props.attachment&&"content"in $$props.attachment?$$props.attachment.content:$$props.textContent)),language2=user_derived(()=>getLanguageFromFilename(get$4(displayName))),IconComponent=user_derived(()=>()=>get$4(isImage2)?Image$1:get$4(isText)||get$4(isPdf)?File_text:get$4(isAudio)?Music:File$1),pdfViewMode=state$1("pages"),pdfImages=state$1(proxy([])),pdfImagesLoading=state$1(!1),pdfImagesError=state$1(null);async function loadPdfImages(){if(!(!get$4(isPdf)||get$4(pdfImages).length>
+0||get$4(pdfImagesLoading))){set$1(pdfImagesLoading,!0),set$1(pdfImagesError,null);try{let file=null;if($$props.uploadedFile?.file)file=$$props.uploadedFile.file;else if(get$4(isPdf)&&$$props.attachment){if("images"in $$props.attachment&&$$props.attachment.images&&Array.isArray($$props.attachment.images)&&$$props.attachment.images.length>0){set$1(pdfImages,$$props.attachment.images,!0);return}if("base64Data"in $$props.attachment&&$$props.attachment.base64Data){const base64Data=$$props.attachment.
+base64Data,byteCharacters=atob(base64Data),byteNumbers=new Array(byteCharacters.length);for(let i=0;i<byteCharacters.length;i++)byteNumbers[i]=byteCharacters.charCodeAt(i);const byteArray=new Uint8Array(byteNumbers);file=new File([byteArray],get$4(displayName),{type:"application/pdf"})}}if(file)set$1(pdfImages,await convertPDFToImage(file),!0);else throw new Error("No PDF file available for conversion")}catch(error2){set$1(pdfImagesError,error2 instanceof Error?error2.message:"Failed to load PDF\
+ images",!0)}finally{set$1(pdfImagesLoading,!1)}}}function reset$1(){set$1(pdfImages,[],!0),set$1(pdfImagesLoading,!1),set$1(pdfImagesError,null),set$1(pdfViewMode,"pages")}user_effect(()=>{get$4(isPdf)&&get$4(pdfViewMode)==="pages"&&loadPdfImages()});var $$exports={reset:reset$1},div=root$1q(),div_1=child(div),node2=child(div_1);{var consequent_1=$$anchor2=>{var div_2=root_1$V(),node_1=child(div_2);{let $0=user_derived(()=>get$4(pdfViewMode)==="text"?"default":"outline");Button(node_1,{get variant(){
+return get$4($0)},size:"sm",onclick:()=>set$1(pdfViewMode,"text"),get disabled(){return get$4(pdfImagesLoading)},children:($$anchor3,$$slotProps)=>{var fragment=root_2$11(),node_2=first_child(fragment);File_text(node_2,{class:"mr-1 h-4 w-4"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}})}var node_3=sibling(node_1,2);{let $0=user_derived(()=>get$4(pdfViewMode)==="pages"?"default":"outline");Button(node_3,{get variant(){return get$4($0)},size:"sm",onclick:()=>{set$1(pdfViewMode,"page\
+s"),loadPdfImages()},get disabled(){return get$4(pdfImagesLoading)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$T(),node_4=first_child(fragment_1);{var consequent=$$anchor4=>{var div_3=root_4$x();append($$anchor4,div_3)},alternate=$$anchor4=>{Eye($$anchor4,{class:"mr-1 h-4 w-4"})};if_block(node_4,$$render=>{get$4(pdfImagesLoading)?$$render(consequent):$$render(alternate,!1)})}next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_2),append($$anchor2,div_2)};if_block(
+node2,$$render=>{get$4(isPdf)&&$$render(consequent_1)})}reset(div_1);var div_4=sibling(div_1,2),node_5=child(div_4);{var consequent_2=$$anchor2=>{var div_5=root_6$y(),img=child(div_5);reset(div_5),template_effect(()=>{set_attribute(img,"src",get$4(displayPreview)),set_attribute(img,"alt",get$4(displayName))}),append($$anchor2,div_5)},alternate_9=$$anchor2=>{var fragment_3=comment$2(),node_6=first_child(fragment_3);{var consequent_7=$$anchor3=>{var fragment_4=root_8$o(),node_7=first_child(fragment_4);
+{var consequent_3=$$anchor4=>{var fragment_5=comment$2(),node_8=first_child(fragment_5);component(node_8,()=>Alert,($$anchor5,Alert_Root)=>{Alert_Root($$anchor5,{class:"mb-4",children:($$anchor6,$$slotProps)=>{var fragment_6=root_10$i(),node_9=first_child(fragment_6);Info$1(node_9,{class:"h-4 w-4"});var node_10=sibling(node_9,2);component(node_10,()=>Alert_title,($$anchor7,Alert_Title)=>{Alert_Title($$anchor7,{children:($$anchor8,$$slotProps2)=>{next$1();var text2=text$8("Preview only");append($$anchor8,
+text2)},$$slots:{default:!0}})});var node_11=sibling(node_10,2);component(node_11,()=>Alert_description,($$anchor7,Alert_Description)=>{Alert_Description($$anchor7,{children:($$anchor8,$$slotProps2)=>{var span=root_12$9(),span_1=sibling(child(span));span_1.__click=()=>set$1(pdfViewMode,"text"),next$1(),reset(span),append($$anchor8,span)},$$slots:{default:!0}})}),append($$anchor6,fragment_6)},$$slots:{default:!0}})}),append($$anchor4,fragment_5)};if_block(node_7,$$render=>{!get$4(hasVisionModality)&&
+$$props.activeModelId&&$$render(consequent_3)})}var node_12=sibling(node_7,2);{var consequent_4=$$anchor4=>{var div_6=root_13$d();append($$anchor4,div_6)},alternate_3=$$anchor4=>{var fragment_7=comment$2(),node_13=first_child(fragment_7);{var consequent_5=$$anchor5=>{var div_7=root_15$6(),div_8=child(div_7),node_14=child(div_8);File_text(node_14,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"});var p2=sibling(node_14,4),text_1=child(p2,!0);reset(p2);var node_15=sibling(p2,2);Button(node_15,
+{class:"mt-4",onclick:()=>set$1(pdfViewMode,"text"),children:($$anchor6,$$slotProps)=>{next$1();var text_2=text$8("View as Text");append($$anchor6,text_2)},$$slots:{default:!0}}),reset(div_8),reset(div_7),template_effect(()=>set_text(text_1,get$4(pdfImagesError))),append($$anchor5,div_7)},alternate_2=$$anchor5=>{var fragment_8=comment$2(),node_16=first_child(fragment_8);{var consequent_6=$$anchor6=>{var div_9=root_18$6();each(div_9,22,()=>get$4(pdfImages),image2=>image2,($$anchor7,image2,index2)=>{
+var div_10=root_19$3(),p_1=child(div_10),text_3=child(p_1);reset(p_1);var img_1=sibling(p_1,2);reset(div_10),template_effect(()=>{set_text(text_3,`Page ${get$4(index2)+1}`),set_attribute(img_1,"src",image2),set_attribute(img_1,"alt",`PDF Page ${get$4(index2)+1}`)}),append($$anchor7,div_10)}),reset(div_9),append($$anchor6,div_9)},alternate_1=$$anchor6=>{var div_11=root_20$a(),div_12=child(div_11),node_17=child(div_12);File_text(node_17,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"}),next$1(
+2),reset(div_12),reset(div_11),append($$anchor6,div_11)};if_block(node_16,$$render=>{get$4(pdfImages).length>0?$$render(consequent_6):$$render(alternate_1,!1)},!0)}append($$anchor5,fragment_8)};if_block(node_13,$$render=>{get$4(pdfImagesError)?$$render(consequent_5):$$render(alternate_2,!1)},!0)}append($$anchor4,fragment_7)};if_block(node_12,$$render=>{get$4(pdfImagesLoading)?$$render(consequent_4):$$render(alternate_3,!1)})}append($$anchor3,fragment_4)},alternate_8=$$anchor3=>{var fragment_9=comment$2(),
+node_18=first_child(fragment_9);{var consequent_8=$$anchor4=>{SyntaxHighlightedCode($$anchor4,{get code(){return get$4(displayTextContent)},get language(){return get$4(language2)},maxWidth:"calc(69rem - 2rem)"})},alternate_7=$$anchor4=>{var fragment_11=comment$2(),node_19=first_child(fragment_11);{var consequent_11=$$anchor5=>{var div_13=root_24$3(),div_14=child(div_13),node_20=child(div_14);Music(node_20,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"});var node_21=sibling(node_20,2);{var consequent_9=$$anchor6=>{
+var audio=root_25();template_effect(()=>set_attribute(audio,"src",$$props.uploadedFile.preview)),append($$anchor6,audio)},alternate_5=$$anchor6=>{var fragment_12=comment$2(),node_22=first_child(fragment_12);{var consequent_10=$$anchor7=>{var audio_1=root_27$2();template_effect($0=>set_attribute(audio_1,"src",$0),[()=>createBase64DataUrl($$props.attachment.mimeType,$$props.attachment.base64Data)]),append($$anchor7,audio_1)},alternate_4=$$anchor7=>{var p_2=root_28$4();append($$anchor7,p_2)};if_block(
+node_22,$$render=>{get$4(isAudio)&&$$props.attachment&&"mimeType"in $$props.attachment&&"base64Data"in $$props.attachment?$$render(consequent_10):$$render(alternate_4,!1)},!0)}append($$anchor6,fragment_12)};if_block(node_21,$$render=>{$$props.uploadedFile?.preview?$$render(consequent_9):$$render(alternate_5,!1)})}var p_3=sibling(node_21,2),text_4=child(p_3,!0);reset(p_3),reset(div_14),reset(div_13),template_effect(()=>set_text(text_4,get$4(displayName))),append($$anchor5,div_13)},alternate_6=$$anchor5=>{
+var div_15=root_29$2(),div_16=child(div_15),node_23=child(div_16);{var consequent_12=$$anchor6=>{var fragment_13=comment$2(),node_24=first_child(fragment_13);component(node_24,()=>get$4(IconComponent),($$anchor7,IconComponent_1)=>{IconComponent_1($$anchor7,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"})}),append($$anchor6,fragment_13)};if_block(node_23,$$render=>{get$4(IconComponent)&&$$render(consequent_12)})}next$1(2),reset(div_16),reset(div_15),append($$anchor5,div_15)};if_block(node_19,
+$$render=>{get$4(isAudio)?$$render(consequent_11):$$render(alternate_6,!1)},!0)}append($$anchor4,fragment_11)};if_block(node_18,$$render=>{(get$4(isText)||get$4(isPdf)&&get$4(pdfViewMode)==="text")&&get$4(displayTextContent)?$$render(consequent_8):$$render(alternate_7,!1)},!0)}append($$anchor3,fragment_9)};if_block(node_6,$$render=>{get$4(isPdf)&&get$4(pdfViewMode)==="pages"?$$render(consequent_7):$$render(alternate_8,!1)},!0)}append($$anchor2,fragment_3)};if_block(node_5,$$render=>{get$4(isImage2)&&
+get$4(displayPreview)?$$render(consequent_2):$$render(alternate_9,!1)})}return reset(div_4),reset(div),append($$anchor,div),pop($$exports)}delegate(["click"]);var root_1$U=from_html("<div><!></div>");function ChatAttachmentMcpResources($$anchor,$$props){push$1($$props,!0);const attachments=user_derived(mcpResourceAttachments),hasAttachments=user_derived(mcpHasResourceAttachments);function handleRemove(attachmentId){mcpStore.removeResourceAttachment(attachmentId)}function handleResourceClick(uri2){
+$$props.onResourceClick?.(uri2)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$U(),node_1=child(div);HorizontalScrollCarousel(node_1,{gapSize:"2",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,19,()=>get$4(attachments),attachment=>attachment.id,($$anchor4,attachment,i)=>{{let $0=user_derived(()=>get$4(i)===0?"ml-3":"");ChatAttachmentMcpResource($$anchor4,{get class(){return get$4($0)},get attachment(){
+return get$4(attachment)},onRemove:handleRemove,onClick:()=>handleResourceClick(get$4(attachment).resource.uri)})}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}),reset(div),template_effect(()=>set_class(div,1,clsx($$props.class))),append($$anchor2,div)};if_block(node2,$$render=>{get$4(hasAttachments)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_3$S=from_html('<span class="text-xs text-muted-foreground"> </span>'),root_5$u=from_html('<div class="pointer-events-none abs\
+olute right-0 bottom-0 left-0 h-6 bg-gradient-to-t from-muted to-transparent"></div>'),root_4$w=from_html('<div class="relative mt-2 w-full"><div class="overflow-hidden font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground"> </div> <!></div>'),root_2$10=from_html('<button type="button"><div class="flex items-start gap-3"><div class="flex min-w-0 flex-1 flex-col items-start text-left"><span class="w-full truncate text-sm font-medium text-foreground"> </span> <!> \
+<!></div></div></button>'),root_8$n=from_html('<div class="pointer-events-none absolute right-0 bottom-0 left-0 h-4 bg-gradient-to-t from-muted to-transparent"></div>'),root_7$r=from_html('<div class="relative"><div class="overflow-hidden font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground" style="max-height: 3rem; line-height: 1.2em;"> </div> <!></div>'),root_6$x=from_html('<button><div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:op\
+acity-100"><!></div> <div class="pr-8"><span class="mb-3 block truncate text-sm font-medium text-foreground"> </span> <!></div></button>'),root_10$h=from_html('<span class="text-left text-xs text-muted-foreground"> </span>'),root_12$8=from_html('<span class="text-left text-xs text-muted-foreground"> </span>'),root_13$c=from_html('<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100"><!></div>'),root_9$m=from_html('<button><div class="flex h-8 w-8 items-center j\
+ustify-center rounded bg-primary/10 text-xs font-medium text-primary"> </div> <div class="flex flex-col gap-0.5"><span> </span> <!></div> <!></button>');function ChatAttachmentThumbnailFile($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),readonly2=prop($$props,"readonly",3,!1),isText=user_derived(()=>isTextFile($$props.attachment,$$props.uploadedFile)),fileTypeLabel=user_derived(()=>{if($$props.uploadedFile?.type)return getFileTypeLabel($$props.uploadedFile.type);if($$props.
+attachment){if("mimeType"in $$props.attachment&&$$props.attachment.mimeType)return getFileTypeLabel($$props.attachment.mimeType);if($$props.attachment.type)return getFileTypeLabel($$props.attachment.type)}return getFileTypeLabel($$props.name)}),pdfProcessingMode=user_derived(()=>$$props.attachment?.type===AttachmentType.PDF?$$props.attachment.processedAsImages?"Sent as Image":"Sent as Text":null);var fragment=comment$2(),node2=first_child(fragment);{var consequent_6=$$anchor2=>{var fragment_1=comment$2(),
+node_1=first_child(fragment_1);{var consequent_3=$$anchor3=>{var button=root_2$10();button.__click=function(...$$args){$$props.onClick?.apply(this,$$args)};var div=child(button),div_1=child(div),span=child(div_1),text2=child(span,!0);reset(span);var node_2=sibling(span,2);{var consequent=$$anchor4=>{var span_1=root_3$S(),text_1=child(span_1,!0);reset(span_1),template_effect($0=>set_text(text_1,$0),[()=>formatFileSize($$props.size)]),append($$anchor4,span_1)};if_block(node_2,$$render=>{$$props.size&&
+$$render(consequent)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor4=>{var div_2=root_4$w(),div_3=child(div_2),text_2=child(div_3,!0);reset(div_3);var node_4=sibling(div_3,2);{var consequent_1=$$anchor5=>{var div_4=root_5$u();append($$anchor5,div_4)};if_block(node_4,$$render=>{$$props.textContent.length>150&&$$render(consequent_1)})}reset(div_2),template_effect($0=>set_text(text_2,$0),[()=>getPreviewText($$props.textContent)]),append($$anchor4,div_2)};if_block(node_3,$$render=>{$$props.
+textContent&&$$render(consequent_2)})}reset(div_1),reset(div),reset(button),template_effect(()=>{set_class(button,1,`cursor-pointer rounded-lg border border-border bg-muted p-3 transition-shadow hover:shadow-md ${className()??""} w-full max-w-2xl`),set_attribute(button,"aria-label",`Preview ${$$props.name}`),set_text(text2,$$props.name)}),append($$anchor3,button)},alternate=$$anchor3=>{var button_1=root_6$x();button_1.__click=function(...$$args){$$props.onClick?.apply(this,$$args)};var div_5=child(
+button_1),node_5=child(div_5);ActionIconRemove(node_5,{get id(){return $$props.id},get onRemove(){return $$props.onRemove}}),reset(div_5);var div_6=sibling(div_5,2),span_2=child(div_6),text_3=child(span_2,!0);reset(span_2);var node_6=sibling(span_2,2);{var consequent_5=$$anchor4=>{var div_7=root_7$r(),div_8=child(div_7),text_4=child(div_8,!0);reset(div_8);var node_7=sibling(div_8,2);{var consequent_4=$$anchor5=>{var div_9=root_8$n();append($$anchor5,div_9)};if_block(node_7,$$render=>{$$props.textContent.
+length>150&&$$render(consequent_4)})}reset(div_7),template_effect($0=>set_text(text_4,$0),[()=>getPreviewText($$props.textContent)]),append($$anchor4,div_7)};if_block(node_6,$$render=>{$$props.textContent&&$$render(consequent_5)})}reset(div_6),reset(button_1),template_effect(()=>{set_class(button_1,1,`group relative rounded-lg border border-border bg-muted p-3 ${className()??""} ${$$props.textContent?"max-h-24 max-w-72":"max-w-36"} cursor-pointer text-left`),set_text(text_3,$$props.name)}),append(
+$$anchor3,button_1)};if_block(node_1,$$render=>{readonly2()?$$render(consequent_3):$$render(alternate,!1)})}append($$anchor2,fragment_1)},alternate_2=$$anchor2=>{var button_2=root_9$m();button_2.__click=function(...$$args){$$props.onClick?.apply(this,$$args)};var div_10=child(button_2),text_5=child(div_10,!0);reset(div_10);var div_11=sibling(div_10,2),span_3=child(div_11),text_6=child(span_3,!0);reset(span_3);var node_8=sibling(span_3,2);{var consequent_7=$$anchor3=>{var span_4=root_10$h(),text_7=child(
+span_4,!0);reset(span_4),template_effect(()=>set_text(text_7,get$4(pdfProcessingMode))),append($$anchor3,span_4)},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_9=first_child(fragment_2);{var consequent_8=$$anchor4=>{var span_5=root_12$8(),text_8=child(span_5,!0);reset(span_5),template_effect($0=>set_text(text_8,$0),[()=>formatFileSize($$props.size)]),append($$anchor4,span_5)};if_block(node_9,$$render=>{$$props.size&&$$render(consequent_8)},!0)}append($$anchor3,fragment_2)};if_block(node_8,
+$$render=>{get$4(pdfProcessingMode)?$$render(consequent_7):$$render(alternate_1,!1)})}reset(div_11);var node_10=sibling(div_11,2);{var consequent_9=$$anchor3=>{var div_12=root_13$c(),node_11=child(div_12);ActionIconRemove(node_11,{get id(){return $$props.id},get onRemove(){return $$props.onRemove}}),reset(div_12),append($$anchor3,div_12)};if_block(node_10,$$render=>{readonly2()||$$render(consequent_9)})}reset(button_2),template_effect(()=>{set_class(button_2,1,`group flex items-center gap-3 roun\
+ded-lg border border-border bg-muted p-3 ${className()??""} relative`),set_text(text_5,get$4(fileTypeLabel)),set_class(span_3,1,`max-w-24 truncate text-sm font-medium text-foreground ${readonly2()?"":"group-hover:pr-6"} md:max-w-32`),set_text(text_6,$$props.name)}),append($$anchor2,button_2)};if_block(node2,$$render=>{get$4(isText)?$$render(consequent_6):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}delegate(["click"]);var root_1$T=from_html('<button type="button" class="block h-ful\
+l w-full rounded-lg focus:ring-2 focus:ring-primary focus:ring-offset-2 focus:outline-none"><img/></button>'),root_2$$=from_html("<img/>"),root_3$R=from_html('<div class="absolute top-1 right-1 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"><!></div>'),root$1p=from_html("<div><!> <!></div>");function ChatAttachmentThumbnailImage($$anchor,$$props){let readonly2=prop($$props,"readonly",3,!1),className=prop($$props,"class",3,""),width=prop($$props,"width",3,"\
+w-auto"),height=prop($$props,"height",3,"h-16"),imageClass=prop($$props,"imageClass",3,"");var div=root$1p(),node2=child(div);{var consequent=$$anchor2=>{var button=root_1$T();button.__click=function(...$$args){$$props.onClick?.apply(this,$$args)};var img=child(button);reset(button),template_effect(()=>{set_attribute(button,"aria-label",`Preview ${$$props.name??""}`),set_attribute(img,"src",$$props.preview),set_attribute(img,"alt",$$props.name),set_class(img,1,`${height()??""} ${width()??""} cur\
+sor-pointer object-cover ${imageClass()??""}`)}),append($$anchor2,button)},alternate=$$anchor2=>{var img_1=root_2$$();template_effect(()=>{set_attribute(img_1,"src",$$props.preview),set_attribute(img_1,"alt",$$props.name),set_class(img_1,1,`${height()??""} ${width()??""} cursor-pointer object-cover ${imageClass()??""}`)}),append($$anchor2,img_1)};if_block(node2,$$render=>{$$props.onClick?$$render(consequent):$$render(alternate,!1)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_1=root_3$R(),
+node_2=child(div_1);ActionIconRemove(node_2,{get id(){return $$props.id},get onRemove(){return $$props.onRemove},class:"text-white"}),reset(div_1),append($$anchor2,div_1)};if_block(node_1,$$render=>{readonly2()||$$render(consequent_1)})}reset(div),template_effect(()=>set_class(div,1,`group relative overflow-hidden rounded-lg bg-muted shadow-lg dark:border dark:border-muted ${className()??""}`)),append($$anchor,div)}delegate(["click"]);var root_1$S=from_html('<div><h3 class="mb-3 text-sm font-med\
+ium text-foreground"> </h3> <div class="flex flex-wrap items-start gap-3"></div></div>'),root_3$Q=from_html('<div><h3 class="mb-3 text-sm font-medium text-foreground"> </h3> <div class="flex flex-wrap items-start gap-3"></div></div>'),root$1o=from_html('<div class="space-y-4"><div class="min-h-0 flex-1 space-y-6 overflow-y-auto px-1"><!> <!></div></div> <!>',1);function ChatAttachmentsViewAll($$anchor,$$props){push$1($$props,!0);let uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),attachments=prop(
+$$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),imageClass=prop($$props,"imageClass",3,""),previewDialogOpen=state$1(!1),previewItem=state$1(null),displayItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()})),imageItems=user_derived(()=>get$4(displayItems).filter(item=>item.isImage)),fileItems=user_derived(()=>get$4(displayItems).
+filter(item=>!item.isImage));function openPreview(item,event2){event2&&(event2.preventDefault(),event2.stopPropagation()),set$1(previewItem,{uploadedFile:item.uploadedFile,attachment:item.attachment,preview:item.preview,name:item.name,size:item.size,textContent:item.textContent},!0),set$1(previewDialogOpen,!0)}var fragment=root$1o(),div=first_child(fragment),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var div_2=root_1$S(),h3=child(div_2),text2=child(h3);reset(h3);var div_3=sibling(
+h3,2);each(div_3,21,()=>get$4(fileItems),item=>item.id,($$anchor3,item)=>{ChatAttachmentThumbnailFile($$anchor3,{class:"cursor-pointer",get id(){return get$4(item).id},get name(){return get$4(item).name},get size(){return get$4(item).size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return get$4(item).textContent},get attachment(){return get$4(item).attachment},get uploadedFile(){return get$4(item).uploadedFile},onClick:event2=>openPreview(get$4(
+item),event2)})}),reset(div_3),reset(div_2),template_effect(()=>set_text(text2,`Files (${get$4(fileItems).length??""})`)),append($$anchor2,div_2)};if_block(node2,$$render=>{get$4(fileItems).length>0&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_2=$$anchor2=>{var div_4=root_3$Q(),h3_1=child(div_4),text_1=child(h3_1);reset(h3_1);var div_5=sibling(h3_1,2);each(div_5,21,()=>get$4(imageItems),item=>item.id,($$anchor3,item)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);
+{var consequent_1=$$anchor4=>{ChatAttachmentThumbnailImage($$anchor4,{class:"cursor-pointer",get id(){return get$4(item).id},get name(){return get$4(item).name},get preview(){return get$4(item).preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onClick:event2=>openPreview(get$4(item),event2)})};if_block(node_2,$$render=>{get$4(item).preview&&$$render(consequent_1)})}
+append($$anchor3,fragment_2)}),reset(div_5),reset(div_4),template_effect(()=>set_text(text_1,`Images (${get$4(imageItems).length??""})`)),append($$anchor2,div_4)};if_block(node_1,$$render=>{get$4(imageItems).length>0&&$$render(consequent_2)})}reset(div_1),reset(div);var node_3=sibling(div,2);{var consequent_3=$$anchor2=>{DialogChatAttachmentPreview($$anchor2,{get uploadedFile(){return get$4(previewItem).uploadedFile},get attachment(){return get$4(previewItem).attachment},get preview(){return get$4(
+previewItem).preview},get name(){return get$4(previewItem).name},get size(){return get$4(previewItem).size},get textContent(){return get$4(previewItem).textContent},get activeModelId(){return $$props.activeModelId},get open(){return get$4(previewDialogOpen)},set open($$value){set$1(previewDialogOpen,$$value,!0)}})};if_block(node_3,$$render=>{get$4(previewItem)&&$$render(consequent_3)})}append($$anchor,fragment),pop()}function Dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,
+"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-lg leading-none font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,DialogPrimitive_Title)=>{DialogPrimitive_Title($$anchor2,spread_props({"data-slot":"dialog-title",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),
+pop()}var root$1n=from_html("<div><!></div>");function Dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1n();attribute_effect(div,$0=>({"data-slot":"dialog-footer",class:$0,...restProps}),[()=>cn$1("flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,
+$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1m=from_html("<div><!></div>");function Dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1m();attribute_effect(div,$0=>({"data-slot":"dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.
+children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=\
+open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"dialog-overlay",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_4$v=from_html('<!> <span class="sr-only">Close</span>',1),root_2$_=from_html("<!> <!>",1),root_1$R=from_html("<!> <!>",1);function Dialog_content($$anchor,$$props){push$1(
+$$props,!0);let ref2=prop($$props,"ref",15,null),showCloseButton=prop($$props,"showCloseButton",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps","children","showCloseButton"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$1,($$anchor2,Dialog_Portal)=>{Dialog_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$R(),node_1=first_child(fragment_1);component(node_1,
+()=>Dialog_overlay,($$anchor4,Dialog_Overlay)=>{Dialog_Overlay($$anchor4,{})});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed top-[50%] left-[50%] z-50 grid max-h-[100dvh] w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 overflow-y-auto rounded-lg border border-border/30 bg-background p-6 shadow-lg duration-200 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:\
+fade-in-0 data-[state=open]:zoom-in-95 sm:max-w-lg md:max-h-[100vh]",$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,DialogPrimitive_Content)=>{DialogPrimitive_Content($$anchor4,spread_props({"data-slot":"dialog-content",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$_(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3);var node_4=sibling(node_3,
+2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);component(node_5,()=>Dialog_close,($$anchor7,DialogPrimitive_Close)=>{DialogPrimitive_Close($$anchor7,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:ring-2 focus:ring-ring focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",children:($$anchor8,$$slotProps3)=>{
+var fragment_4=root_4$v(),node_6=first_child(fragment_4);X(node_6,{}),next$1(2),append($$anchor8,fragment_4)},$$slots:{default:!0}})}),append($$anchor6,fragment_3)};if_block(node_4,$$render=>{showCloseButton()&&$$render(consequent)})}append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dialog_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,DialogPrimitive_Description)=>{DialogPrimitive_Description($$anchor2,spread_props({"data-slot":"dialog-description",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$4=Dialog,
+Portal$1=Portal$2;function DialogChatSettings($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",3,!1),chatSettingsRef=state$1(void 0);function handleClose(){$$props.onOpenChange?.(!1)}function handleSave(){$$props.onOpenChange?.(!1)}user_effect(()=>{open2()&&get$4(chatSettingsRef)&&get$4(chatSettingsRef).reset()});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleClose,
+children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:`z-999999 flex h-[100dvh] max-h-[100dvh] min-h-[100dvh] max-w-4xl! flex-col gap-0 rounded-none
+			p-0 md:h-[64vh] md:max-h-[64vh] md:min-h-0 md:rounded-lg`,children:($$anchor5,$$slotProps2)=>{bind_this(ChatSettings($$anchor5,{onSave:handleSave,get initialSection(){return $$props.initialSection}}),$$value=>set$1(chatSettingsRef,$$value,!0),()=>get$4(chatSettingsRef))},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}function Alert_dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-lg font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,AlertDialogPrimitive_Title)=>{AlertDialogPrimitive_Title($$anchor2,spread_props({"data-slot":"alert-dialog-title",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_action($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants(),$$props.class));component(node2,()=>Alert_dialog_action$1,($$anchor2,AlertDialogPrimitive_Action)=>{AlertDialogPrimitive_Action($$anchor2,spread_props({"data-slot":"alert-dialog-action",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){
+ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_cancel($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants({variant:"outline"}),$$props.class));component(node2,()=>Alert_dialog_cancel$1,($$anchor2,AlertDialogPrimitive_Cancel)=>{AlertDialogPrimitive_Cancel($$anchor2,spread_props(
+{"data-slot":"alert-dialog-cancel",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root$1l=from_html("<div><!></div>");function Alert_dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1l();attribute_effect(div,$0=>({"data-slot":"alert-dialog-footer",class:$0,...restProps}),
+[()=>cn$1("mt-6 flex flex-row gap-2 sm:mt-0 sm:justify-end [&>*]:flex-1 sm:[&>*]:flex-none",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1k=from_html("<div><!></div>");function Alert_dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1k();
+attribute_effect(div,$0=>({"data-slot":"alert-dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Alert_dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),
+node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,AlertDialogPrimitive_Overlay)=>{AlertDialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"alert-dialog-overlay",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}
+append($$anchor,fragment),pop()}var root_1$Q=from_html("<!> <!>",1);function Alert_dialog_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,AlertDialogPrimitive_Portal)=>{AlertDialogPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$Q(),
+node_1=first_child(fragment_1);Alert_dialog_overlay(node_1,{});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed z-[999999] grid w-full gap-4 border bg-background p-6 shadow-lg duration-200","right-0 bottom-0 left-0 max-h-[100dvh] translate-x-0 translate-y-0 overflow-y-auto rounded-t-lg","data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:slide-out-to-bottom-full","data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:slide-in-\
+from-bottom-full","sm:top-[50%] sm:right-auto sm:bottom-auto sm:left-[50%] sm:max-h-[100vh] sm:max-w-lg sm:translate-x-[-50%] sm:translate-y-[-50%] sm:rounded-lg","sm:data-[state=closed]:slide-out-to-bottom-0 sm:data-[state=closed]:zoom-out-95","sm:data-[state=open]:slide-in-from-bottom-0 sm:data-[state=open]:zoom-in-95",$$props.class));component(node_2,()=>Alert_dialog_content$1,($$anchor4,AlertDialogPrimitive_Content)=>{AlertDialogPrimitive_Content($$anchor4,spread_props({"data-slot":"alert-di\
+alog-content",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Alert_dialog_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-f\
+oreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,AlertDialogPrimitive_Description)=>{AlertDialogPrimitive_Description($$anchor2,spread_props({"data-slot":"alert-dialog-description",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$3=Alert_dialog,Portal=Portal$2;var root_4$u=from_html("<!> ",1),root_3$P=from_html("<!> <!>",1),root_8$m=from_html("<!> <!>",1),root_2$Z=from_html(
+"<!> <!> <!>",1);function DialogConfirmation($$anchor,$$props){push$1($$props,!0);let confirmText=prop($$props,"confirmText",3,"Confirm"),cancelText=prop($$props,"cancelText",3,"Cancel"),variant=prop($$props,"variant",3,"default");function handleKeydown(event2){event2.key===KeyboardKey.ENTER&&(event2.preventDefault(),$$props.onConfirm()),$$props.onKeydown?.(event2)}function handleOpenChange(newOpen){newOpen||$$props.onCancel()}var fragment=comment$2(),node2=first_child(fragment);component(node2,
+()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return $$props.open},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{onkeydown:handleKeydown,children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$Z(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{
+AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$P(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$u(),node_4=first_child(fragment_4);{var consequent=$$anchor10=>{const IconComponent=user_derived(()=>$$props.icon);var fragment_5=comment$2(),node_5=first_child(fragment_5);{let $0=user_derived(
+()=>variant()==="destructive"?"text-destructive":"");component(node_5,()=>get$4(IconComponent),($$anchor11,IconComponent_1)=>{IconComponent_1($$anchor11,{get class(){return`h-5 w-5 ${get$4($0)??""}`}})})}append($$anchor10,fragment_5)};if_block(node_4,$$render=>{$$props.icon&&$$render(consequent)})}var text2=sibling(node_4);template_effect(()=>set_text(text2,` ${$$props.title??""}`)),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Alert_dialog_description,
+($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,$$props.description)),append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_7=sibling(node_2,2);{var consequent_1=$$anchor6=>{var fragment_7=comment$2(),node_8=first_child(fragment_7);snippet(node_8,()=>$$props.children),append($$anchor6,fragment_7)};if_block(node_7,
+$$render=>{$$props.children&&$$render(consequent_1)})}var node_9=sibling(node_7,2);component(node_9,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_8=root_8$m(),node_10=first_child(fragment_8);component(node_10,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{get onclick(){return $$props.onCancel},children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8();template_effect(
+()=>set_text(text_2,cancelText())),append($$anchor9,text_2)},$$slots:{default:!0}})});var node_11=sibling(node_10,2);{let $0=user_derived(()=>variant()==="destructive"?"bg-destructive text-white hover:bg-destructive/80":"");component(node_11,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{get onclick(){return $$props.onConfirm},get class(){return get$4($0)},children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8();template_effect(()=>set_text(text_3,
+confirmText())),append($$anchor9,text_3)},$$slots:{default:!0}})})}append($$anchor7,fragment_8)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_3$O=from_html("<!> <!>",1),root_6$w=from_html("<!> <!>",1),root_2$Y=from_html('<!> <div class="space-y-4 pt-2 pb-6"><div class="space-y-2"><p class="text-sm font-medium text-muted-foreground">Current title:</p> <p class="rounde\
+d-md bg-muted/50 p-3 text-sm font-medium"> </p></div> <div class="space-y-2"><p class="text-sm font-medium text-muted-foreground">New title would be:</p> <p class="rounded-md bg-muted/50 p-3 text-sm font-medium"> </p></div></div> <!>',1);function DialogConversationTitleUpdate($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},
+set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$Y(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$O(),node_3=first_child(
+fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Update Conversation Title?");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Do you want to update the convers\
+ation title to match the first message content?");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),p2=sibling(child(div_1),2),text_2=child(p2,!0);reset(p2),reset(div_1);var div_2=sibling(div_1,2),p_1=sibling(child(div_2),2),text_3=child(p_1,!0);reset(p_1),reset(div_2),reset(div);var node_5=sibling(div,2);component(node_5,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,
+{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_6$w(),node_6=first_child(fragment_4);Button(node_6,{variant:"outline",get onclick(){return $$props.onCancel},children:($$anchor8,$$slotProps4)=>{next$1();var text_4=text$8("Keep Current Title");append($$anchor8,text_4)},$$slots:{default:!0}});var node_7=sibling(node_6,2);Button(node_7,{get onclick(){return $$props.onConfirm},children:($$anchor8,$$slotProps4)=>{next$1();var text_5=text$8("Update Title");append($$anchor8,text_5)},$$slots:{default:!0}}),
+append($$anchor7,fragment_4)},$$slots:{default:!0}})}),template_effect(()=>{set_text(text_2,$$props.currentTitle),set_text(text_3,$$props.newTitle)}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$t=from_html('<!> <span class="sr-only">Close preview</span>',1),root_3$N=from_html('<iframe sandbox="allow-scripts" class="code-preview-iframe"></iframe> <!>',1),root_2$X=from_html("<!> <!>",1);function DialogCodePreview($$anchor,$$props){
+push$1($$props,!0);let open2=prop($$props,"open",15),iframeRef=state$1(null);user_effect(()=>{get$4(iframeRef)&&(open2()?get$4(iframeRef).srcdoc=$$props.code:get$4(iframeRef).srcdoc="")});function handleOpenChange(nextOpen){open2(nextOpen),$$props.onOpenChange?.(nextOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Dialog,($$anchor2,DialogPrimitive_Root)=>{DialogPrimitive_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{
+var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$2,($$anchor4,DialogPrimitive_Portal)=>{DialogPrimitive_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$X(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay$1,($$anchor6,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor6,{class:"code-preview-overlay"})});var node_3=sibling(node_2,2);component(node_3,()=>Dialog_content$1,($$anchor6,DialogPrimitive_Content)=>{
+DialogPrimitive_Content($$anchor6,{class:"code-preview-content",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$N(),iframe=first_child(fragment_3);bind_this(iframe,$$value=>set$1(iframeRef,$$value),()=>get$4(iframeRef));var node_4=sibling(iframe,2);component(node_4,()=>Dialog_close,($$anchor8,DialogPrimitive_Close)=>{DialogPrimitive_Close($$anchor8,{class:"code-preview-close absolute top-4 right-4 border-none bg-transparent text-white opacity-70 mix-blend-difference transition-opacity \
+hover:opacity-100 focus-visible:ring-0 focus-visible:ring-offset-0 focus-visible:outline-none disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-8","aria-label":"Close preview",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$t(),node_5=first_child(fragment_4);X(node_5,{}),next$1(2),append($$anchor9,fragment_4)},$$slots:{default:!0}})}),template_effect(()=>set_attribute(iframe,"title",`Preview ${$$props.language??""}`)),append($$anchor7,
+fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_3$M=from_html("<!> <!>",1),root_2$W=from_html("<!> <!>",1);function DialogChatAttachmentPreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),chatAttachmentPreviewRef=state$1(void 0),displayName=user_derived(()=>$$props.uploadedFile?.name||$$props.attachment?.name||$$props.name||"Unkno\
+wn File"),displaySize=user_derived(()=>$$props.uploadedFile?.size||$$props.size);user_effect(()=>{open2()&&get$4(chatAttachmentPreviewRef)&&get$4(chatAttachmentPreviewRef).reset()});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(
+fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$W(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$M(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{
+Dialog_Title($$anchor8,{class:"pr-8",children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,get$4(displayName))),append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_5=comment$2(),node_5=first_child(fragment_5);{var consequent=$$anchor10=>{var text_1=text$8();template_effect($0=>set_text(
+text_1,$0),[()=>formatFileSize(get$4(displaySize))]),append($$anchor10,text_1)};if_block(node_5,$$render=>{get$4(displaySize)&&$$render(consequent)})}append($$anchor9,fragment_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_2,2);bind_this(ChatAttachmentPreview(node_6,{get uploadedFile(){return $$props.uploadedFile},get attachment(){return $$props.attachment},get preview(){return $$props.preview},get name(){return get$4(displayName)},get textContent(){
+return $$props.textContent},get activeModelId(){return $$props.activeModelId}}),$$value=>set$1(chatAttachmentPreviewRef,$$value,!0),()=>get$4(chatAttachmentPreviewRef)),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$s=from_html("<!> <!>",1),root_3$L=from_html("<!> <!>",1),root_2$V=from_html("<!> <!>",1);function DialogChatAttachmentsViewAll($$anchor,$$props){push$1($$props,!0);let open2=prop(
+$$props,"open",15,!1),uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),imageClass=prop($$props,"imageClass",3,""),totalCount=user_derived(()=>uploadedFiles().length+attachments().length);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,
+{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$1,($$anchor4,Dialog_Portal)=>{Dialog_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$V(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay,($$anchor6,Dialog_Overlay)=>{Dialog_Overlay($$anchor6,{})});var node_3=sibling(node_2,2);component(node_3,()=>Dialog_content,($$anchor6,Dialog_Content)=>{
+Dialog_Content($$anchor6,{class:"flex !max-h-[90vh] !max-w-6xl flex-col",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$L(),node_4=first_child(fragment_3);component(node_4,()=>Dialog_header,($$anchor8,Dialog_Header)=>{Dialog_Header($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$s(),node_5=first_child(fragment_4);component(node_5,()=>Dialog_title,($$anchor10,Dialog_Title)=>{Dialog_Title($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text2=text$8();template_effect(
+()=>set_text(text2,`All Attachments (${get$4(totalCount)??""})`)),append($$anchor11,text2)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Dialog_description,($$anchor10,Dialog_Description)=>{Dialog_Description($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text_1=text$8("View and manage all attached files");append($$anchor11,text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_7=sibling(node_4,2);ChatAttachmentsViewAll(
+node_7,{get uploadedFiles(){return uploadedFiles()},get attachments(){return attachments()},get readonly(){return readonly2()},get onFileRemove(){return $$props.onFileRemove},get imageHeight(){return imageHeight()},get imageWidth(){return imageWidth()},get imageClass(){return imageClass()},get activeModelId(){return $$props.activeModelId}}),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),
+append($$anchor,fragment),pop()}var root_4$r=from_html("<!> ",1),root_3$K=from_html("<!> <!>",1),root_9$l=from_html('<p><span class="font-medium">Context size:</span> </p>'),root_8$l=from_html('<div class="mt-2 space-y-1 text-xs opacity-80"><p><span class="font-medium">Prompt tokens:</span> </p> <!></div>'),root_2$U=from_html('<!> <div><p class="font-medium"> </p> <!></div> <!>',1);function DialogChatError($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);const isTimeout=user_derived(
+()=>$$props.type===ErrorDialogType.TIMEOUT),title2=user_derived(()=>get$4(isTimeout)?"TCP Timeout":"Server Error"),description2=user_derived(()=>get$4(isTimeout)?"The request did not receive a response from the server before timing out.":"The server responded with an error message. Review the details below."),iconClass=user_derived(()=>get$4(isTimeout)?"text-destructive":"text-amber-500"),badgeClass=user_derived(()=>get$4(isTimeout)?"border-destructive/40 bg-destructive/10 text-destructive":"bor\
+der-amber-500/40 bg-amber-500/10 text-amber-600 dark:text-amber-400");function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{
+AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$U(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$K(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$r(),
+node_4=first_child(fragment_4);{var consequent=$$anchor10=>{{let $0=user_derived(()=>`h-5 w-5 ${get$4(iconClass)}`);Timer_off($$anchor10,{get class(){return get$4($0)}})}},alternate=$$anchor10=>{{let $0=user_derived(()=>`h-5 w-5 ${get$4(iconClass)}`);Triangle_alert($$anchor10,{get class(){return get$4($0)}})}};if_block(node_4,$$render=>{get$4(isTimeout)?$$render(consequent):$$render(alternate,!1)})}var text2=sibling(node_4);template_effect(()=>set_text(text2,` ${get$4(title2)??""}`)),append($$anchor9,
+fragment_4)},$$slots:{default:!0}})});var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$4(description2))),append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),p2=child(div),text_2=child(p2,!0);reset(p2);var node_6=sibling(
+p2,2);{var consequent_2=$$anchor6=>{var div_1=root_8$l(),p_1=child(div_1),text_3=sibling(child(p_1));reset(p_1);var node_7=sibling(p_1,2);{var consequent_1=$$anchor7=>{var p_2=root_9$l(),text_4=sibling(child(p_2));reset(p_2),template_effect($0=>set_text(text_4,` ${$0??""}`),[()=>$$props.contextInfo.n_ctx.toLocaleString()]),append($$anchor7,p_2)};if_block(node_7,$$render=>{$$props.contextInfo.n_ctx&&$$render(consequent_1)})}reset(div_1),template_effect($0=>set_text(text_3,` ${$0??""}`),[()=>$$props.
+contextInfo.n_prompt_tokens.toLocaleString()]),append($$anchor6,div_1)};if_block(node_6,$$render=>{$$props.contextInfo&&$$render(consequent_2)})}reset(div);var node_8=sibling(div,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_8=comment$2(),node_9=first_child(fragment_8);component(node_9,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:()=>handleOpenChange(
+!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_5=text$8("Close");append($$anchor9,text_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_8)},$$slots:{default:!0}})}),template_effect(()=>{set_class(div,1,`rounded-lg border px-4 py-3 text-sm ${get$4(badgeClass)}`),set_text(text_2,$$props.message)}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$q=from_html("<!> Empty Files Dete\
+cted",1),root_3$J=from_html("<!> <!>",1),root_6$v=from_html('<li class="font-mono text-sm"> </li>'),root_2$T=from_html('<!> <div class="space-y-3 text-sm"><div class="rounded-lg bg-muted p-3"><div class="mb-2 font-medium">Empty Files:</div> <ul class="list-inside list-disc space-y-1 text-muted-foreground"></ul></div> <div><div class="mb-2 font-medium">What happened:</div> <ul class="list-inside list-disc space-y-1 text-muted-foreground"><li>Empty files cannot be processed or sent to the AI model\
+</li> <li>These files have been automatically removed from your attachments</li> <li>You can try uploading files with content instead</li></ul></div></div> <!>',1);function DialogEmptyFileAlert($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},
+onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$T(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$J(),node_3=first_child(
+fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$q(),node_4=first_child(fragment_4);File_x(node_4,{class:"h-5 w-5 text-destructive"}),next$1(),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{
+children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("The following files are empty and have been removed from your attachments:");append($$anchor9,text2)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),ul=sibling(child(div_1),2);each(ul,20,()=>$$props.emptyFiles,fileName=>fileName,($$anchor6,fileName)=>{var li2=root_6$v(),text_1=child(li2,!0);reset(li2),template_effect(()=>set_text(text_1,fileName)),append($$anchor6,
+li2)}),reset(ul),reset(div_1),next$1(2),reset(div);var node_6=sibling(div,2);component(node_6,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=comment$2(),node_7=first_child(fragment_5);component(node_7,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:()=>handleOpenChange(!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8("Got it");append($$anchor9,
+text_2)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$p=from_html("<!> Model Not Available",1),root_3$I=from_html("<!> <!>",1),root_7$q=from_html('<button type="button" class="group flex w-full items-center justify-between gap-2 rounded-sm px-3 py-2 text-left text-sm transition-colors hover:bg-accent hover:text\
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+ <code class="rounded bg-amber-500/20 px-1.5 py-0.5"> </code></p></div> <!></div> <!>',1);function DialogModelNotAvailable($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),availableModels=prop($$props,"availableModels",19,()=>[]);function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}function handleSelectModel(model){const url2=new URL(page$1.url);url2.searchParams.set("model",model),handleOpenChange(!1),goto(url2.toString())}var fragment=comment$2(),
+node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{class:"max-w-lg",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$S(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,
+($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$I(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$p(),node_4=first_child(fragment_4);Triangle_alert(node_4,{class:"h-5 w-5 text-amber-500"}),next$1(),append($$anchor9,fragment_4)},$$slots:{default:!0}})});
+var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("The requested model could not be found. Select an available model to continue.");append($$anchor9,text2)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),p2=child(div_1),code2=sibling(child(p2)),text_1=child(code2,
+!0);reset(code2),reset(p2),reset(div_1);var node_6=sibling(div_1,2);{var consequent=$$anchor6=>{var div_2=root_6$u(),div_3=sibling(child(div_2),2);each(div_3,20,availableModels,model=>model,($$anchor7,model)=>{var button=root_7$q();button.__click=()=>handleSelectModel(model);var span=child(button),text_2=child(span,!0);reset(span);var node_7=sibling(span,2);Arrow_right(node_7,{class:"h-4 w-4 shrink-0 text-muted-foreground opacity-0 transition-opacity group-hover:opacity-100"}),reset(button),template_effect(
+()=>set_text(text_2,model)),append($$anchor7,button)}),reset(div_3),reset(div_2),append($$anchor6,div_2)};if_block(node_6,$$render=>{availableModels().length>0&&$$render(consequent)})}reset(div);var node_8=sibling(div,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=comment$2(),node_9=first_child(fragment_5);component(node_9,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action(
+$$anchor8,{onclick:()=>handleOpenChange(!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8("Cancel");append($$anchor9,text_3)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),template_effect(()=>set_text(text_1,$$props.modelName)),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);var root_4$o=from_html("<!> <!>",1),root_3$H=from_html("<!>\
+ <!>",1),root_2$R=from_html("<!> <!>",1);function DialogConversationSelection($$anchor,$$props){push$1($$props,!0);let messageCountMap=prop($$props,"messageCountMap",19,()=>new Map),open2=prop($$props,"open",15,!1),conversationSelectionRef=state$1(void 0),previousOpen=state$1(!1);user_effect(()=>{open2()&&!get$4(previousOpen)&&get$4(conversationSelectionRef)?get$4(conversationSelectionRef).reset():!open2()&&get$4(previousOpen)&&$$props.onCancel(),set$1(previousOpen,open2(),!0)});var fragment=comment$2(),
+node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$1,($$anchor4,Dialog_Portal)=>{Dialog_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$R(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay,($$anchor6,Dialog_Overlay)=>{Dialog_Overlay(
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+Dialog_Title($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`Select Conversations to ${$$props.mode==="export"?"Export":"Import"}`)),append($$anchor11,text2)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Dialog_description,($$anchor10,Dialog_Description)=>{Dialog_Description($$anchor10,{children:($$anchor11,$$slotProps5)=>{var fragment_6=comment$2(),node_7=first_child(fragment_6);{var consequent=$$anchor12=>{
+var text_1=text$8(`Choose which conversations you want to export. Selected conversations will be downloaded
+						as a JSON file.`);append($$anchor12,text_1)},alternate=$$anchor12=>{var text_2=text$8(`Choose which conversations you want to import. Selected conversations will be merged
+						with your existing conversations.`);append($$anchor12,text_2)};if_block(node_7,$$render=>{$$props.mode==="export"?$$render(consequent):$$render(alternate,!1)})}append($$anchor11,fragment_6)},$$slots:{default:!0}})}),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_8=sibling(node_4,2);bind_this(ConversationSelection(node_8,{get conversations(){return $$props.conversations},get messageCountMap(){return messageCountMap()},get mode(){return $$props.mode},get onCancel(){return $$props.
+onCancel},get onConfirm(){return $$props.onConfirm}}),$$value=>set$1(conversationSelectionRef,$$value,!0),()=>get$4(conversationSelectionRef)),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root$1j=from_html('<div data-slot="table-container" class="relative w-full overflow-x-auto"><table><!></table></div>');function Table($$anchor,$$props){push$1(
+$$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1j(),table2=child(div);attribute_effect(table2,$0=>({"data-slot":"table",class:$0,...restProps}),[()=>cn$1("w-full caption-bottom text-sm",$$props.class)]);var node2=child(table2);snippet(node2,()=>$$props.children??noop$3),reset(table2),bind_this(table2,$$value=>ref2($$value),()=>ref2()),reset(div),append($$anchor,div),pop()}var root$1i=from_html(
+"<tbody><!></tbody>");function Table_body($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var tbody2=root$1i();attribute_effect(tbody2,$0=>({"data-slot":"table-body",class:$0,...restProps}),[()=>cn$1("[&_tr:last-child]:border-0",$$props.class)]);var node2=child(tbody2);snippet(node2,()=>$$props.children??noop$3),reset(tbody2),bind_this(tbody2,$$value=>ref2($$value),()=>ref2()),append(
+$$anchor,tbody2),pop()}var root$1h=from_html("<td><!></td>");function Table_cell($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var td=root$1h();attribute_effect(td,$0=>({"data-slot":"table-cell",class:$0,...restProps}),[()=>cn$1("bg-clip-padding p-2 align-middle whitespace-nowrap [&:has([role=checkbox])]:pe-0",$$props.class)]);var node2=child(td);snippet(node2,()=>$$props.children??
+noop$3),reset(td),bind_this(td,$$value=>ref2($$value),()=>ref2()),append($$anchor,td),pop()}var root$1g=from_html("<th><!></th>");function Table_head($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var th=root$1g();attribute_effect(th,$0=>({"data-slot":"table-head",class:$0,...restProps}),[()=>cn$1("h-10 bg-clip-padding px-2 text-left align-middle font-medium whitespace-nowrap text-\
+foreground [&:has([role=checkbox])]:pe-0",$$props.class)]);var node2=child(th);snippet(node2,()=>$$props.children??noop$3),reset(th),bind_this(th,$$value=>ref2($$value),()=>ref2()),append($$anchor,th),pop()}var root$1f=from_html("<thead><!></thead>");function Table_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var thead2=root$1f();attribute_effect(thead2,$0=>({"data-slot":"\
+table-header",class:$0,...restProps}),[()=>cn$1("[&_tr]:border-b",$$props.class)]);var node2=child(thead2);snippet(node2,()=>$$props.children??noop$3),reset(thead2),bind_this(thead2,$$value=>ref2($$value),()=>ref2()),append($$anchor,thead2),pop()}var root$1e=from_html("<tr><!></tr>");function Table_row($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var tr2=root$1e();attribute_effect(
+tr2,$0=>({"data-slot":"table-row",class:$0,...restProps}),[()=>cn$1("border-b transition-colors data-[state=selected]:bg-muted hover:[&,&>svelte-css-wrapper]:[&>th,td]:bg-muted/50",$$props.class)]);var node2=child(tr2);snippet(node2,()=>$$props.children??noop$3),reset(tr2),bind_this(tr2,$$value=>ref2($$value),()=>ref2()),append($$anchor,tr2),pop()}var root_3$G=from_html("<!> <!>",1),root_6$t=from_html('<div class="flex items-center justify-center py-8"><div class="text-sm text-muted-foreground">\
+Loading model information...</div></div>'),root_14$8=from_html('<div class="inline-flex items-center gap-2"><span class="resizable-text-container min-w-0 flex-1 truncate"> </span> <!></div>'),root_12$7=from_html("<!> <!>",1),root_18$5=from_html('<span class="resizable-text-container min-w-0 flex-1 truncate"> </span> <!>',1),root_16$7=from_html("<!> <!>",1),root_20$9=from_html("<!> <!>",1),root_24$2=from_html("<!> <!>",1),root_28$3=from_html("<!> <!>",1),root_32$1=from_html("<!> <!>",1),root_36=from_html(
+"<!> <!>",1),root_40$1=from_html("<!> <!>",1),root_44$1=from_html("<!> <!>",1),root_48=from_html("<!> <!>",1),root_51=from_html("<!> <!>",1),root_57=from_html('<div class="flex flex-wrap gap-1"><!></div>'),root_55=from_html("<!> <!>",1),root_58=from_html("<!> <!>",1),root_64=from_html('<div class="rounded-md bg-muted p-4"><pre class="font-mono text-xs whitespace-pre-wrap"> </pre></div>'),root_62=from_html("<!> <!>",1),root_15$5=from_html("<!> <!> <!> <!> <!> <!> <!> <!> <!> <!> <!> <!>",1),root_10$g=from_html(
+"<!> <!>",1),root_66=from_html('<div class="flex items-center justify-center py-8"><div class="text-sm text-muted-foreground">No model information available</div></div>'),root_2$Q=from_html(`<style>@container (max-width: 56rem) {
+				.resizable-text-container {
+					max-width: calc(100vw - var(--threshold));
+				}
+			}</style> <!> <div class="space-y-6 py-4"><!></div>`,1);function DialogModelInformation($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),modelId=prop($$props,"modelId",3,null),isRouter=user_derived(()=>serverStore.isRouterMode),routerModelProps=state$1(null),isLoadingRouterProps=state$1(!1),serverProps2=user_derived(()=>get$4(isRouter)&&modelId()?get$4(routerModelProps):serverStore.props),modelName=user_derived(()=>get$4(isRouter)&&modelId()?modelId():modelsStore.singleModelName),
+models=user_derived(modelOptions),isLoadingModels=user_derived(modelsLoading),firstModel=user_derived(()=>get$4(isRouter)&&modelId()?get$4(models).find(m=>m.model===modelId())??null:get$4(models)[0]??null),modalities=user_derived(()=>get$4(firstModel)?.id?modelsStore.getModelModalitiesArray(get$4(firstModel).id):[]);user_effect(()=>{open2()&&get$4(models).length===0&&modelsStore.fetch()}),user_effect(()=>{open2()&&get$4(isRouter)&&modelId()&&(set$1(isLoadingRouterProps,!0),modelsStore.fetchModelProps(
+modelId()).then(props=>{set$1(routerModelProps,props,!0)}).catch(()=>{set$1(routerModelProps,null)}).finally(()=>{set$1(isLoadingRouterProps,!1)})),open2()||set$1(routerModelProps,null)});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(
+fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"@container z-9999 !max-h-[80dvh] !max-w-[60rem] max-w-full",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$Q(),node_2=sibling(first_child(fragment_2),2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$G(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{
+Dialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Model Information");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Current model details and capabilities");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});
+var div=sibling(node_2,2),node_5=child(div);{var consequent=$$anchor6=>{var div_1=root_6$t();append($$anchor6,div_1)},alternate_2=$$anchor6=>{var fragment_4=comment$2(),node_6=first_child(fragment_4);{var consequent_11=$$anchor7=>{const modelMeta=user_derived(()=>get$4(firstModel).meta);var fragment_5=comment$2(),node_7=first_child(fragment_5);{var consequent_10=$$anchor8=>{var fragment_6=comment$2(),node_8=first_child(fragment_6);component(node_8,()=>Table,($$anchor9,Table_Root)=>{Table_Root($$anchor9,
+{children:($$anchor10,$$slotProps3)=>{var fragment_7=root_10$g(),node_9=first_child(fragment_7);component(node_9,()=>Table_header,($$anchor11,Table_Header)=>{Table_Header($$anchor11,{children:($$anchor12,$$slotProps4)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8);component(node_10,()=>Table_row,($$anchor13,Table_Row)=>{Table_Row($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_9=root_12$7(),node_11=first_child(fragment_9);component(node_11,()=>Table_head,($$anchor15,Table_Head)=>{
+Table_Head($$anchor15,{class:"w-[10rem]",children:($$anchor16,$$slotProps6)=>{next$1();var text_2=text$8("Model");append($$anchor16,text_2)},$$slots:{default:!0}})});var node_12=sibling(node_11,2);component(node_12,()=>Table_head,($$anchor15,Table_Head_1)=>{Table_Head_1($$anchor15,{children:($$anchor16,$$slotProps6)=>{var div_2=root_14$8(),span=child(div_2);set_style(span,"",{},{"--threshold":"12rem"});var text_3=child(span,!0);reset(span);var node_13=sibling(span,2);{let $0=user_derived(()=>get$4(
+modelName)||""),$1=user_derived(()=>!!get$4(modelName));ActionIconCopyToClipboard(node_13,{get text(){return get$4($0)},get canCopy(){return get$4($1)},ariaLabel:"Copy model name to clipboard"})}reset(div_2),template_effect(()=>set_text(text_3,get$4(modelName))),append($$anchor16,div_2)},$$slots:{default:!0}})}),append($$anchor14,fragment_9)},$$slots:{default:!0}})}),append($$anchor12,fragment_8)},$$slots:{default:!0}})});var node_14=sibling(node_9,2);component(node_14,()=>Table_body,($$anchor11,Table_Body)=>{
+Table_Body($$anchor11,{children:($$anchor12,$$slotProps4)=>{var fragment_10=root_15$5(),node_15=first_child(fragment_10);component(node_15,()=>Table_row,($$anchor13,Table_Row_1)=>{Table_Row_1($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_11=root_16$7(),node_16=first_child(fragment_11);component(node_16,()=>Table_cell,($$anchor15,Table_Cell)=>{Table_Cell($$anchor15,{class:"h-10 align-middle font-medium",children:($$anchor16,$$slotProps6)=>{next$1();var text_4=text$8("File Path");append(
+$$anchor16,text_4)},$$slots:{default:!0}})});var node_17=sibling(node_16,2);component(node_17,()=>Table_cell,($$anchor15,Table_Cell_1)=>{Table_Cell_1($$anchor15,{class:"inline-flex h-10 items-center gap-2 align-middle font-mono text-xs",children:($$anchor16,$$slotProps6)=>{var fragment_12=root_18$5(),span_1=first_child(fragment_12);set_style(span_1,"",{},{"--threshold":"14rem"});var text_5=child(span_1,!0);reset(span_1);var node_18=sibling(span_1,2);ActionIconCopyToClipboard(node_18,{get text(){
+return get$4(serverProps2).model_path},ariaLabel:"Copy model path to clipboard"}),template_effect(()=>set_text(text_5,get$4(serverProps2).model_path)),append($$anchor16,fragment_12)},$$slots:{default:!0}})}),append($$anchor14,fragment_11)},$$slots:{default:!0}})});var node_19=sibling(node_15,2);{var consequent_1=$$anchor13=>{var fragment_13=comment$2(),node_20=first_child(fragment_13);component(node_20,()=>Table_row,($$anchor14,Table_Row_2)=>{Table_Row_2($$anchor14,{children:($$anchor15,$$slotProps5)=>{
+var fragment_14=root_20$9(),node_21=first_child(fragment_14);component(node_21,()=>Table_cell,($$anchor16,Table_Cell_2)=>{Table_Cell_2($$anchor16,{class:"h-10 align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_6=text$8("Context Size");append($$anchor17,text_6)},$$slots:{default:!0}})});var node_22=sibling(node_21,2);component(node_22,()=>Table_cell,($$anchor16,Table_Cell_3)=>{Table_Cell_3($$anchor16,{children:($$anchor17,$$slotProps6)=>{next$1();var text_7=text$8();
+template_effect($0=>set_text(text_7,`${$0??""} tokens`),[()=>formatNumber(get$4(serverProps2).default_generation_settings.n_ctx)]),append($$anchor17,text_7)},$$slots:{default:!0}})}),append($$anchor15,fragment_14)},$$slots:{default:!0}})}),append($$anchor13,fragment_13)},alternate=$$anchor13=>{var fragment_16=comment$2(),node_23=first_child(fragment_16);component(node_23,()=>Table_row,($$anchor14,Table_Row_3)=>{Table_Row_3($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_17=root_24$2(),
+node_24=first_child(fragment_17);component(node_24,()=>Table_cell,($$anchor16,Table_Cell_4)=>{Table_Cell_4($$anchor16,{class:"h-10 align-middle font-medium text-red-500",children:($$anchor17,$$slotProps6)=>{next$1();var text_8=text$8("Context Size");append($$anchor17,text_8)},$$slots:{default:!0}})});var node_25=sibling(node_24,2);component(node_25,()=>Table_cell,($$anchor16,Table_Cell_5)=>{Table_Cell_5($$anchor16,{class:"text-red-500",children:($$anchor17,$$slotProps6)=>{next$1();var text_9=text$8(
+"Not available");append($$anchor17,text_9)},$$slots:{default:!0}})}),append($$anchor15,fragment_17)},$$slots:{default:!0}})}),append($$anchor13,fragment_16)};if_block(node_19,$$render=>{get$4(serverProps2)?.default_generation_settings?.n_ctx?$$render(consequent_1):$$render(alternate,!1)})}var node_26=sibling(node_19,2);{var consequent_2=$$anchor13=>{var fragment_18=comment$2(),node_27=first_child(fragment_18);component(node_27,()=>Table_row,($$anchor14,Table_Row_4)=>{Table_Row_4($$anchor14,{children:($$anchor15,$$slotProps5)=>{
+var fragment_19=root_28$3(),node_28=first_child(fragment_19);component(node_28,()=>Table_cell,($$anchor16,Table_Cell_6)=>{Table_Cell_6($$anchor16,{class:"h-10 align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_10=text$8("Training Context");append($$anchor17,text_10)},$$slots:{default:!0}})});var node_29=sibling(node_28,2);component(node_29,()=>Table_cell,($$anchor16,Table_Cell_7)=>{Table_Cell_7($$anchor16,{children:($$anchor17,$$slotProps6)=>{next$1();var text_11=text$8();
+template_effect($0=>set_text(text_11,`${$0??""} tokens`),[()=>formatNumber(get$4(modelMeta).n_ctx_train)]),append($$anchor17,text_11)},$$slots:{default:!0}})}),append($$anchor15,fragment_19)},$$slots:{default:!0}})}),append($$anchor13,fragment_18)};if_block(node_26,$$render=>{get$4(modelMeta)?.n_ctx_train&&$$render(consequent_2)})}var node_30=sibling(node_26,2);{var consequent_3=$$anchor13=>{var fragment_21=comment$2(),node_31=first_child(fragment_21);component(node_31,()=>Table_row,($$anchor14,Table_Row_5)=>{
+Table_Row_5($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_22=root_32$1(),node_32=first_child(fragment_22);component(node_32,()=>Table_cell,($$anchor16,Table_Cell_8)=>{Table_Cell_8($$anchor16,{class:"h-10 align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_12=text$8("Model Size");append($$anchor17,text_12)},$$slots:{default:!0}})});var node_33=sibling(node_32,2);component(node_33,()=>Table_cell,($$anchor16,Table_Cell_9)=>{Table_Cell_9($$anchor16,{children:($$anchor17,$$slotProps6)=>{
+next$1();var text_13=text$8();template_effect($0=>set_text(text_13,$0),[()=>formatFileSize(get$4(modelMeta).size)]),append($$anchor17,text_13)},$$slots:{default:!0}})}),append($$anchor15,fragment_22)},$$slots:{default:!0}})}),append($$anchor13,fragment_21)};if_block(node_30,$$render=>{get$4(modelMeta)?.size&&$$render(consequent_3)})}var node_34=sibling(node_30,2);{var consequent_4=$$anchor13=>{var fragment_24=comment$2(),node_35=first_child(fragment_24);component(node_35,()=>Table_row,($$anchor14,Table_Row_6)=>{
+Table_Row_6($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_25=root_36(),node_36=first_child(fragment_25);component(node_36,()=>Table_cell,($$anchor16,Table_Cell_10)=>{Table_Cell_10($$anchor16,{class:"h-10 align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_14=text$8("Parameters");append($$anchor17,text_14)},$$slots:{default:!0}})});var node_37=sibling(node_36,2);component(node_37,()=>Table_cell,($$anchor16,Table_Cell_11)=>{Table_Cell_11($$anchor16,{children:($$anchor17,$$slotProps6)=>{
+next$1();var text_15=text$8();template_effect($0=>set_text(text_15,$0),[()=>formatParameters(get$4(modelMeta).n_params)]),append($$anchor17,text_15)},$$slots:{default:!0}})}),append($$anchor15,fragment_25)},$$slots:{default:!0}})}),append($$anchor13,fragment_24)};if_block(node_34,$$render=>{get$4(modelMeta)?.n_params&&$$render(consequent_4)})}var node_38=sibling(node_34,2);{var consequent_5=$$anchor13=>{var fragment_27=comment$2(),node_39=first_child(fragment_27);component(node_39,()=>Table_row,
+($$anchor14,Table_Row_7)=>{Table_Row_7($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_28=root_40$1(),node_40=first_child(fragment_28);component(node_40,()=>Table_cell,($$anchor16,Table_Cell_12)=>{Table_Cell_12($$anchor16,{class:"align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_16=text$8("Embedding Size");append($$anchor17,text_16)},$$slots:{default:!0}})});var node_41=sibling(node_40,2);component(node_41,()=>Table_cell,($$anchor16,Table_Cell_13)=>{Table_Cell_13(
+$$anchor16,{children:($$anchor17,$$slotProps6)=>{next$1();var text_17=text$8();template_effect($0=>set_text(text_17,$0),[()=>formatNumber(get$4(modelMeta).n_embd)]),append($$anchor17,text_17)},$$slots:{default:!0}})}),append($$anchor15,fragment_28)},$$slots:{default:!0}})}),append($$anchor13,fragment_27)};if_block(node_38,$$render=>{get$4(modelMeta)?.n_embd&&$$render(consequent_5)})}var node_42=sibling(node_38,2);{var consequent_6=$$anchor13=>{var fragment_30=comment$2(),node_43=first_child(fragment_30);
+component(node_43,()=>Table_row,($$anchor14,Table_Row_8)=>{Table_Row_8($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_31=root_44$1(),node_44=first_child(fragment_31);component(node_44,()=>Table_cell,($$anchor16,Table_Cell_14)=>{Table_Cell_14($$anchor16,{class:"align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_18=text$8("Vocabulary Size");append($$anchor17,text_18)},$$slots:{default:!0}})});var node_45=sibling(node_44,2);component(node_45,()=>Table_cell,
+($$anchor16,Table_Cell_15)=>{Table_Cell_15($$anchor16,{children:($$anchor17,$$slotProps6)=>{next$1();var text_19=text$8();template_effect($0=>set_text(text_19,`${$0??""} tokens`),[()=>formatNumber(get$4(modelMeta).n_vocab)]),append($$anchor17,text_19)},$$slots:{default:!0}})}),append($$anchor15,fragment_31)},$$slots:{default:!0}})}),append($$anchor13,fragment_30)};if_block(node_42,$$render=>{get$4(modelMeta)?.n_vocab&&$$render(consequent_6)})}var node_46=sibling(node_42,2);{var consequent_7=$$anchor13=>{
+var fragment_33=comment$2(),node_47=first_child(fragment_33);component(node_47,()=>Table_row,($$anchor14,Table_Row_9)=>{Table_Row_9($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_34=root_48(),node_48=first_child(fragment_34);component(node_48,()=>Table_cell,($$anchor16,Table_Cell_16)=>{Table_Cell_16($$anchor16,{class:"align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_20=text$8("Vocabulary Type");append($$anchor17,text_20)},$$slots:{default:!0}})});var node_49=sibling(
+node_48,2);component(node_49,()=>Table_cell,($$anchor16,Table_Cell_17)=>{Table_Cell_17($$anchor16,{class:"align-middle capitalize",children:($$anchor17,$$slotProps6)=>{next$1();var text_21=text$8();template_effect(()=>set_text(text_21,get$4(modelMeta).vocab_type)),append($$anchor17,text_21)},$$slots:{default:!0}})}),append($$anchor15,fragment_34)},$$slots:{default:!0}})}),append($$anchor13,fragment_33)};if_block(node_46,$$render=>{get$4(modelMeta)?.vocab_type&&$$render(consequent_7)})}var node_50=sibling(
+node_46,2);component(node_50,()=>Table_row,($$anchor13,Table_Row_10)=>{Table_Row_10($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_36=root_51(),node_51=first_child(fragment_36);component(node_51,()=>Table_cell,($$anchor15,Table_Cell_18)=>{Table_Cell_18($$anchor15,{class:"align-middle font-medium",children:($$anchor16,$$slotProps6)=>{next$1();var text_22=text$8("Parallel Slots");append($$anchor16,text_22)},$$slots:{default:!0}})});var node_52=sibling(node_51,2);component(node_52,()=>Table_cell,
+($$anchor15,Table_Cell_19)=>{Table_Cell_19($$anchor15,{children:($$anchor16,$$slotProps6)=>{next$1();var text_23=text$8();template_effect(()=>set_text(text_23,get$4(serverProps2).total_slots)),append($$anchor16,text_23)},$$slots:{default:!0}})}),append($$anchor14,fragment_36)},$$slots:{default:!0}})});var node_53=sibling(node_50,2);{var consequent_8=$$anchor13=>{var fragment_38=comment$2(),node_54=first_child(fragment_38);component(node_54,()=>Table_row,($$anchor14,Table_Row_11)=>{Table_Row_11($$anchor14,
+{children:($$anchor15,$$slotProps5)=>{var fragment_39=root_55(),node_55=first_child(fragment_39);component(node_55,()=>Table_cell,($$anchor16,Table_Cell_20)=>{Table_Cell_20($$anchor16,{class:"align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_24=text$8("Modalities");append($$anchor17,text_24)},$$slots:{default:!0}})});var node_56=sibling(node_55,2);component(node_56,()=>Table_cell,($$anchor16,Table_Cell_21)=>{Table_Cell_21($$anchor16,{children:($$anchor17,$$slotProps6)=>{
+var div_3=root_57(),node_57=child(div_3);BadgeModality(node_57,{get modalities(){return get$4(modalities)}}),reset(div_3),append($$anchor17,div_3)},$$slots:{default:!0}})}),append($$anchor15,fragment_39)},$$slots:{default:!0}})}),append($$anchor13,fragment_38)};if_block(node_53,$$render=>{get$4(modalities).length>0&&$$render(consequent_8)})}var node_58=sibling(node_53,2);component(node_58,()=>Table_row,($$anchor13,Table_Row_12)=>{Table_Row_12($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_40=root_58(),
+node_59=first_child(fragment_40);component(node_59,()=>Table_cell,($$anchor15,Table_Cell_22)=>{Table_Cell_22($$anchor15,{class:"align-middle font-medium",children:($$anchor16,$$slotProps6)=>{next$1();var text_25=text$8("Build Info");append($$anchor16,text_25)},$$slots:{default:!0}})});var node_60=sibling(node_59,2);component(node_60,()=>Table_cell,($$anchor15,Table_Cell_23)=>{Table_Cell_23($$anchor15,{class:"align-middle font-mono text-xs",children:($$anchor16,$$slotProps6)=>{next$1();var text_26=text$8();
+template_effect(()=>set_text(text_26,get$4(serverProps2).build_info)),append($$anchor16,text_26)},$$slots:{default:!0}})}),append($$anchor14,fragment_40)},$$slots:{default:!0}})});var node_61=sibling(node_58,2);{var consequent_9=$$anchor13=>{var fragment_42=comment$2(),node_62=first_child(fragment_42);component(node_62,()=>Table_row,($$anchor14,Table_Row_13)=>{Table_Row_13($$anchor14,{children:($$anchor15,$$slotProps5)=>{var fragment_43=root_62(),node_63=first_child(fragment_43);component(node_63,
+()=>Table_cell,($$anchor16,Table_Cell_24)=>{Table_Cell_24($$anchor16,{class:"align-middle font-medium",children:($$anchor17,$$slotProps6)=>{next$1();var text_27=text$8("Chat Template");append($$anchor17,text_27)},$$slots:{default:!0}})});var node_64=sibling(node_63,2);component(node_64,()=>Table_cell,($$anchor16,Table_Cell_25)=>{Table_Cell_25($$anchor16,{class:"py-10",children:($$anchor17,$$slotProps6)=>{var div_4=root_64(),pre=child(div_4),text_28=child(pre,!0);reset(pre),reset(div_4),template_effect(
+()=>set_text(text_28,get$4(serverProps2).chat_template)),append($$anchor17,div_4)},$$slots:{default:!0}})}),append($$anchor15,fragment_43)},$$slots:{default:!0}})}),append($$anchor13,fragment_42)};if_block(node_61,$$render=>{get$4(serverProps2).chat_template&&$$render(consequent_9)})}append($$anchor12,fragment_10)},$$slots:{default:!0}})}),append($$anchor10,fragment_7)},$$slots:{default:!0}})}),append($$anchor8,fragment_6)};if_block(node_7,$$render=>{get$4(serverProps2)&&$$render(consequent_10)})}
+append($$anchor7,fragment_5)},alternate_1=$$anchor7=>{var fragment_44=comment$2(),node_65=first_child(fragment_44);{var consequent_12=$$anchor8=>{var div_5=root_66();append($$anchor8,div_5)};if_block(node_65,$$render=>{get$4(isLoadingModels)||$$render(consequent_12)},!0)}append($$anchor7,fragment_44)};if_block(node_6,$$render=>{get$4(firstModel)?$$render(consequent_11):$$render(alternate_1,!1)},!0)}append($$anchor6,fragment_4)};if_block(node_5,$$render=>{get$4(isLoadingModels)||get$4(isLoadingRouterProps)?
+$$render(consequent):$$render(alternate_2,!1)})}reset(div),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}class ConversationsStore{#conversations=state$1(proxy([]));get conversations(){return get$4(this.#conversations)}set conversations(value){set$1(this.#conversations,value,!0)}#activeConversation=state$1(null);get activeConversation(){return get$4(this.#activeConversation)}set activeConversation(value){
+set$1(this.#activeConversation,value,!0)}#activeMessages=state$1(proxy([]));get activeMessages(){return get$4(this.#activeMessages)}set activeMessages(value){set$1(this.#activeMessages,value,!0)}#isInitialized=state$1(!1);get isInitialized(){return get$4(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#pendingMcpServerOverrides=state$1(proxy(ConversationsStore.loadMcpDefaults()));get pendingMcpServerOverrides(){return get$4(this.#pendingMcpServerOverrides)}set pendingMcpServerOverrides(value){
+set$1(this.#pendingMcpServerOverrides,value,!0)}static loadMcpDefaults(){if(typeof globalThis.localStorage>"u")return[];try{const raw2=localStorage.getItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY);if(!raw2)return[];const parsed=JSON.parse(raw2);return Array.isArray(parsed)?parsed.filter(o=>typeof o=="object"&&o!==null&&"serverId"in o&&"enabled"in o):[]}catch{return[]}}saveMcpDefaults(){if(typeof globalThis.localStorage>"u")return;const plain=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,
+enabled:o.enabled}));plain.length>0?localStorage.setItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY,JSON.stringify(plain)):localStorage.removeItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY)}titleUpdateConfirmationCallback;messageUpdateCallback=null;async init(){if(!this.isInitialized)try{await runLegacyMigration(),await this.loadConversations(),this.isInitialized=!0}catch(error2){console.error("Failed to initialize conversations:",error2)}}async initialize(){return this.init()}registerMessageUpdateCallback(callback){
+this.messageUpdateCallback=callback}addMessageToActive(message){this.activeMessages.push(message)}updateMessageAtIndex(index2,updates){index2!==-1&&this.activeMessages[index2]&&(this.activeMessages[index2]={...this.activeMessages[index2],...updates})}findMessageIndex(messageId){return this.activeMessages.findIndex(m=>m.id===messageId)}sliceActiveMessages(startIndex){this.activeMessages=this.activeMessages.slice(0,startIndex)}removeMessageAtIndex(index2){if(index2!==-1)return this.activeMessages.
+splice(index2,1)[0]}setTitleUpdateConfirmationCallback(callback){this.titleUpdateConfirmationCallback=callback}async loadConversations(){const conversations2=await DatabaseService.getAllConversations();this.conversations=conversations2}async createConversation(name){const conversationName=name||`Chat ${new Date().toLocaleString()}`,conversation=await DatabaseService.createConversation(conversationName);if(this.pendingMcpServerOverrides.length>0){const plainOverrides=this.pendingMcpServerOverrides.
+map(o=>({serverId:o.serverId,enabled:o.enabled}));conversation.mcpServerOverrides=plainOverrides,await DatabaseService.updateConversation(conversation.id,{mcpServerOverrides:plainOverrides}),this.pendingMcpServerOverrides=[]}return this.conversations=[conversation,...this.conversations],this.activeConversation=conversation,this.activeMessages=[],await goto(`#/chat/${conversation.id}`),conversation.id}async loadConversation(convId){try{const conversation=await DatabaseService.getConversation(convId);
+if(!conversation)return!1;if(this.pendingMcpServerOverrides=[],this.activeConversation=conversation,conversation.currNode){const allMessages=await DatabaseService.getConversationMessages(convId),filteredMessages=filterByLeafNodeId(allMessages,conversation.currNode,!1);this.activeMessages=filteredMessages}else{const messages=await DatabaseService.getConversationMessages(convId);this.activeMessages=messages}return!0}catch(error2){return console.error("Failed to load conversation:",error2),!1}}clearActiveConversation(){
+this.activeConversation=null,this.activeMessages=[],this.pendingMcpServerOverrides=ConversationsStore.loadMcpDefaults()}async deleteConversation(convId,options){try{if(await DatabaseService.deleteConversation(convId,options),options?.deleteWithForks){const idsToRemove=new SvelteSet([convId]),queue=[convId];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of this.conversations)c2.forkedFromConversationId===parentId&&!idsToRemove.has(c2.id)&&(idsToRemove.add(c2.id),queue.push(c2.id))}
+this.conversations=this.conversations.filter(c2=>!idsToRemove.has(c2.id)),this.activeConversation&&idsToRemove.has(this.activeConversation.id)&&(this.clearActiveConversation(),await goto("?new_chat=true#/"))}else{const newParent=this.conversations.find(c2=>c2.id===convId)?.forkedFromConversationId;this.conversations=this.conversations.filter(c2=>c2.id!==convId).map(c2=>c2.forkedFromConversationId===convId?{...c2,forkedFromConversationId:newParent}:c2),this.activeConversation?.id===convId&&(this.
+clearActiveConversation(),await goto("?new_chat=true#/"))}}catch(error2){console.error("Failed to delete conversation:",error2)}}async deleteAll(){try{const allConversations=await DatabaseService.getAllConversations();for(const conv of allConversations)await DatabaseService.deleteConversation(conv.id);this.clearActiveConversation(),this.conversations=[],toast.success("All conversations deleted"),await goto("?new_chat=true#/")}catch(error2){console.error("Failed to delete all conversations:",error2),
+toast.error("Failed to delete conversations")}}async refreshActiveMessages(){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id);if(allMessages.length===0){this.activeMessages=[];return}const leafNodeId=this.activeConversation.currNode||allMessages.reduce((latest,msg)=>msg.timestamp>latest.timestamp?msg:latest).id,currentPath=filterByLeafNodeId(allMessages,leafNodeId,!1);this.activeMessages=currentPath}async getConversationMessages(convId){
+return await DatabaseService.getConversationMessages(convId)}async updateConversationName(convId,name){try{await DatabaseService.updateConversation(convId,{name});const convIndex=this.conversations.findIndex(c2=>c2.id===convId);convIndex!==-1&&(this.conversations[convIndex].name=name,this.conversations=[...this.conversations]),this.activeConversation?.id===convId&&(this.activeConversation={...this.activeConversation,name})}catch(error2){console.error("Failed to update conversation name:",error2)}}async updateConversationTitleWithConfirmation(convId,newTitle){
+try{if(config$1().askForTitleConfirmation&&this.titleUpdateConfirmationCallback){const conversation=await DatabaseService.getConversation(convId);if(!conversation||!await this.titleUpdateConfirmationCallback(conversation.name,newTitle))return!1}return await this.updateConversationName(convId,newTitle),!0}catch(error2){return console.error("Failed to update conversation title with confirmation:",error2),!1}}updateConversationTimestamp(){if(!this.activeConversation)return;const chatIndex=this.conversations.
+findIndex(c2=>c2.id===this.activeConversation.id);if(chatIndex!==-1){this.conversations[chatIndex].lastModified=Date.now();const updatedConv=this.conversations.splice(chatIndex,1)[0];this.conversations=[updatedConv,...this.conversations]}}async updateCurrentNode(nodeId){this.activeConversation&&(await DatabaseService.updateCurrentNode(this.activeConversation.id,nodeId),this.activeConversation={...this.activeConversation,currNode:nodeId})}async navigateToSibling(siblingId){if(!this.activeConversation)
+return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),currentFirstUserMessage=this.activeMessages.find(m=>m.role===MessageRole.USER&&m.parent===rootMessage?.id),currentLeafNodeId=findLeafNode(allMessages,siblingId);if(await DatabaseService.updateCurrentNode(this.activeConversation.id,currentLeafNodeId),this.activeConversation={...this.activeConversation,currNode:currentLeafNodeId},await this.
+refreshActiveMessages(),rootMessage&&this.activeMessages.length>0){const newFirstUserMessage=this.activeMessages.find(m=>m.role===MessageRole.USER&&m.parent===rootMessage.id);newFirstUserMessage&&newFirstUserMessage.content.trim()&&(!currentFirstUserMessage||newFirstUserMessage.id!==currentFirstUserMessage.id||newFirstUserMessage.content.trim()!==currentFirstUserMessage.content.trim())&&await this.updateConversationTitleWithConfirmation(this.activeConversation.id,generateConversationTitle(newFirstUserMessage.
+content,!!config$1().titleGenerationUseFirstLine))}}getMcpServerOverride(serverId){return this.activeConversation?this.activeConversation.mcpServerOverrides?.find(o=>o.serverId===serverId):this.pendingMcpServerOverrides.find(o=>o.serverId===serverId)}getAllMcpServerOverrides(){return this.activeConversation?.mcpServerOverrides?this.activeConversation.mcpServerOverrides:this.pendingMcpServerOverrides}isMcpServerEnabledForChat(serverId){return this.getMcpServerOverride(serverId)?.enabled??!1}async setMcpServerOverride(serverId,enabled){
+if(!this.activeConversation){this.setPendingMcpServerOverride(serverId,enabled);return}const currentOverrides=(this.activeConversation.mcpServerOverrides||[]).map(o=>({serverId:o.serverId,enabled:o.enabled}));let newOverrides;if(enabled===void 0)newOverrides=currentOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=currentOverrides.findIndex(o=>o.serverId===serverId);existingIndex>=0?(newOverrides=[...currentOverrides],newOverrides[existingIndex]={serverId,enabled}):newOverrides=
+[...currentOverrides,{serverId,enabled}]}await DatabaseService.updateConversation(this.activeConversation.id,{mcpServerOverrides:newOverrides.length>0?newOverrides:void 0}),this.activeConversation={...this.activeConversation,mcpServerOverrides:newOverrides.length>0?newOverrides:void 0};const convIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation.id);convIndex!==-1&&(this.conversations[convIndex].mcpServerOverrides=newOverrides.length>0?newOverrides:void 0,this.conversations=[
+...this.conversations])}setPendingMcpServerOverride(serverId,enabled){if(enabled===void 0)this.pendingMcpServerOverrides=this.pendingMcpServerOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=this.pendingMcpServerOverrides.findIndex(o=>o.serverId===serverId);if(existingIndex>=0){const newOverrides=[...this.pendingMcpServerOverrides];newOverrides[existingIndex]={serverId,enabled},this.pendingMcpServerOverrides=newOverrides}else this.pendingMcpServerOverrides=[...this.pendingMcpServerOverrides,
+{serverId,enabled}]}this.saveMcpDefaults()}async toggleMcpServerForChat(serverId){const currentEnabled=this.isMcpServerEnabledForChat(serverId);await this.setMcpServerOverride(serverId,!currentEnabled)}async removeMcpServerOverride(serverId){await this.setMcpServerOverride(serverId,void 0)}clearPendingMcpServerOverrides(){this.pendingMcpServerOverrides=[],this.saveMcpDefaults()}async forkConversation(messageId,options){if(!this.activeConversation)return null;try{const newConv=await DatabaseService.
+forkConversation(this.activeConversation.id,messageId,options);return this.conversations=[newConv,...this.conversations],await goto(`#/chat/${newConv.id}`),toast.success("Conversation forked"),newConv.id}catch(error2){return console.error("Failed to fork conversation:",error2),toast.error("Failed to fork conversation"),null}}generateConversationFilename(conversation,msgs){const sanitizedName=(conversation.name??"").trim().toLowerCase().replace(NON_ALPHANUMERIC_REGEX,EXPORT_CONV_NONALNUM_REPLACEMENT).
+replace(MULTIPLE_UNDERSCORE_REGEX,"_").substring(0,EXPORT_CONV_NAME_SUFFIX_MAX_LENGTH),formattedDate=(msgs?.length?new Date(Math.max(...msgs.map(m=>m.timestamp))):new Date).toISOString().slice(0,ISO_TIMESTAMP_SLICE_LENGTH).replace(ISO_DATE_TIME_SEPARATOR,ISO_DATE_TIME_SEPARATOR_REPLACEMENT).replaceAll(ISO_TIME_SEPARATOR,ISO_TIME_SEPARATOR_REPLACEMENT),trimmedConvId=conversation.id?.slice(0,EXPORT_CONV_ID_TRIM_LENGTH)??"";return`${formattedDate}_conv_${trimmedConvId}_${sanitizedName}.json`}downloadConversationFile(data,filename){
+const conversation="conv"in data?data.conv:Array.isArray(data)?data[0]?.conv:void 0,msgs="messages"in data?data.messages:Array.isArray(data)?data[0]?.messages:void 0;if(!conversation){console.error("Invalid data: missing conversation");return}const downloadFilename=filename??this.generateConversationFilename(conversation,msgs),blob=new Blob([JSON.stringify(data,null,2)],{type:"application/json"}),url2=URL.createObjectURL(blob),a=document.createElement("a");a.href=url2,a.download=downloadFilename,
+document.body.appendChild(a),a.click(),document.body.removeChild(a),URL.revokeObjectURL(url2)}async downloadConversation(convId){let conversation,messages;if(this.activeConversation?.id===convId)conversation=this.activeConversation,messages=this.activeMessages;else{if(conversation=await DatabaseService.getConversation(convId),!conversation)return;messages=await DatabaseService.getConversationMessages(convId)}this.downloadConversationFile({conv:conversation,messages})}async importConversations(){
+return new Promise((resolve2,reject)=>{const input=document.createElement("input");input.type="file",input.accept=".json",input.onchange=async e=>{const file=e.target?.files?.[0];if(!file){reject(new Error("No file selected"));return}try{const text2=await file.text(),parsedData=JSON.parse(text2);let importedData;if(Array.isArray(parsedData))importedData=parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error(
+"Invalid file format");const result=await DatabaseService.importConversations(importedData);toast.success(`Imported ${result.imported} conversation(s), skipped ${result.skipped}`),await this.loadConversations();const importedConversations=(Array.isArray(importedData)?importedData:[importedData]).map(item=>item.conv);resolve2(importedConversations)}catch(err){const message=err instanceof Error?err.message:"Unknown error";console.error("Failed to import conversations:",err),toast.error("Import fai\
+led",{description:message}),reject(new Error(`Import failed: ${message}`))}},input.click()})}async importConversationsData(data){const result=await DatabaseService.importConversations(data);return await this.loadConversations(),result}}const conversationsStore=new ConversationsStore;conversationsStore.init();const conversations=()=>conversationsStore.conversations,activeConversation=()=>conversationsStore.activeConversation,activeMessages=()=>conversationsStore.activeMessages,isConversationsInitialized=()=>conversationsStore.
+isInitialized;function buildConversationTree(convs){const childrenByParent=new SvelteMap,forkIds=new SvelteSet;for(const conv of convs)if(conv.forkedFromConversationId){forkIds.add(conv.id);const siblings2=childrenByParent.get(conv.forkedFromConversationId)||[];siblings2.push(conv),childrenByParent.set(conv.forkedFromConversationId,siblings2)}const result=[],visited=new SvelteSet;function walk(conv,depth){visited.add(conv.id),result.push({conversation:conv,depth});const children=childrenByParent.
+get(conv.id);if(children){children.sort((a,b)=>b.lastModified-a.lastModified);for(const child2 of children)walk(child2,depth+1)}}const roots=convs.filter(c2=>!forkIds.has(c2.id));for(const root2 of roots)walk(root2,0);for(const conv of convs)visited.has(conv.id)||walk(conv,1);return result}var root_5$t=from_html('<span class="text-sm font-normal text-muted-foreground"> </span>'),root_4$n=from_html("<!> <span>MCP Resources</span> <!>",1),root_3$F=from_html("<!> <!>",1),root_8$k=from_html('<p clas\
+s="mb-4 text-xs text-muted-foreground"> </p>'),root_9$k=from_html('<div class="flex flex-1 items-center justify-center"><!></div>'),root_11$b=from_html('<div class="flex flex-1 flex-col items-center justify-center gap-2 text-red-500"><span class="text-sm"> </span> <!></div>'),root_7$p=from_html('<div class="flex h-full flex-col"><div class="mb-3 flex items-center gap-2"><!> <span class="text-sm font-medium"> </span></div> <!> <div class="mb-4 rounded-md border border-border/50 bg-muted/30 px-3 p\
+y-2"><p class="font-mono text-xs break-all text-muted-foreground"> </p></div> <!></div>'),root_19$2=from_html('<div class="flex flex-col gap-10"></div>'),root_22$6=from_html('<div class="flex h-full items-center justify-center text-sm text-muted-foreground">Select a resource to preview</div>'),root_26$4=from_html("<!> Attach Resource",1),root_30$2=from_html("<!> ",1),root_23$4=from_html("<!> <!>",1),root_2$P=from_html('<!> <div class="flex h-[500px] min-w-0"><div class="w-72 shrink-0 overflow-y-\
+auto border-r border-border/30 p-4"><!></div> <div class="min-w-0 flex-1 overflow-auto p-4"><!></div></div> <!>',1);function DialogMcpResources($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),selectedResources=new SvelteSet,lastSelectedUri=state$1(null),isAttaching=state$1(!1),selectedTemplate=state$1(null),templatePreviewUri=state$1(null),templatePreviewContent=state$1(null),templatePreviewLoading=state$1(!1),templatePreviewError=state$1(null);const totalCount=user_derived(
+mcpTotalResourceCount);user_effect(()=>{open2()&&(loadResources(),$$props.preSelectedUri&&(selectedResources.clear(),selectedResources.add($$props.preSelectedUri),set$1(lastSelectedUri,$$props.preSelectedUri,!0)))});async function loadResources(){const perChatOverrides=conversationsStore.getAllMcpServerOverrides();await mcpStore.ensureInitialized(perChatOverrides)&&await mcpStore.fetchAllResources()}function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen),newOpen||(selectedResources.
+clear(),set$1(lastSelectedUri,null),clearTemplateState())}function clearTemplateState(){set$1(selectedTemplate,null),set$1(templatePreviewUri,null),set$1(templatePreviewContent,null),set$1(templatePreviewLoading,!1),set$1(templatePreviewError,null)}function handleTemplateSelect(template){if(selectedResources.clear(),set$1(lastSelectedUri,null),get$4(selectedTemplate)?.uriTemplate===template.uriTemplate&&get$4(selectedTemplate)?.serverName===template.serverName){clearTemplateState();return}set$1(
+selectedTemplate,template,!0),set$1(templatePreviewUri,null),set$1(templatePreviewContent,null),set$1(templatePreviewLoading,!1),set$1(templatePreviewError,null)}async function handleTemplateResolve(uri2,serverName){set$1(templatePreviewUri,uri2,!0),set$1(templatePreviewContent,null),set$1(templatePreviewLoading,!0),set$1(templatePreviewError,null);try{const content2=await mcpStore.readResourceByUri(serverName,uri2);content2?set$1(templatePreviewContent,content2,!0):set$1(templatePreviewError,"F\
+ailed to read resource")}catch(error2){set$1(templatePreviewError,error2 instanceof Error?error2.message:"Unknown error",!0)}finally{set$1(templatePreviewLoading,!1)}}function handleTemplateCancelForm(){clearTemplateState()}async function handleAttachTemplateResource(){if(!(!get$4(templatePreviewUri)||!get$4(selectedTemplate)||!get$4(templatePreviewContent))){set$1(isAttaching,!0);try{const knownResource=mcpResourceStore.findResourceByUri(get$4(templatePreviewUri));if(knownResource)mcpResourceStore.
+isAttached(knownResource.uri)||await mcpStore.attachResource(knownResource.uri),toast.success(`Resource attached: ${knownResource.title||knownResource.name}`);else{if(mcpResourceStore.isAttached(get$4(templatePreviewUri))){toast.info("Resource already attached"),handleOpenChange(!1);return}const resourceInfo={uri:get$4(templatePreviewUri),name:get$4(templatePreviewUri).split("/").pop()||get$4(templatePreviewUri),serverName:get$4(selectedTemplate).serverName},attachment=mcpResourceStore.addAttachment(
+resourceInfo);mcpResourceStore.updateAttachmentContent(attachment.id,get$4(templatePreviewContent)),toast.success(`Resource attached: ${resourceInfo.name}`)}handleOpenChange(!1)}catch(error2){console.error("Failed to attach template resource:",error2)}finally{set$1(isAttaching,!1)}}}function handleResourceSelect(resource,shiftKey=!1){if(clearTemplateState(),shiftKey&&get$4(lastSelectedUri)){const allResources=getAllResourcesFlatInTreeOrder(),lastIndex=allResources.findIndex(r2=>r2.uri===get$4(lastSelectedUri)),
+currentIndex=allResources.findIndex(r2=>r2.uri===resource.uri);if(lastIndex!==-1&&currentIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex);for(let i=start2;i<=end;i++)selectedResources.add(allResources[i].uri)}}else selectedResources.clear(),selectedResources.add(resource.uri),set$1(lastSelectedUri,resource.uri,!0)}function handleResourceToggle(resource,checked){clearTemplateState(),checked?selectedResources.add(resource.uri):selectedResources.delete(
+resource.uri),set$1(lastSelectedUri,resource.uri,!0)}function getAllResourcesFlatInTreeOrder(){const allResources=[],resourcesMap=mcpResources();for(const[serverName,serverRes]of resourcesMap.entries())for(const resource of serverRes.resources)allResources.push({...resource,serverName});return allResources.sort((a,b)=>{const aName=getResourceDisplayName(a),bName=getResourceDisplayName(b);return aName.localeCompare(bName)})}async function handleAttach(){if(selectedResources.size!==0){set$1(isAttaching,
+!0);try{const resourcesToAttach=getAllResourcesFlatInTreeOrder().filter(r2=>selectedResources.has(r2.uri));for(const resource of resourcesToAttach)await mcpStore.attachResource(resource.uri),$$props.onAttach?.(resource);const count=resourcesToAttach.length;toast.success(count===1?`Resource attached: ${resourcesToAttach[0].name}`:`${count} resources attached`),handleOpenChange(!1)}catch(error2){console.error("Failed to attach resources:",error2)}finally{set$1(isAttaching,!1)}}}const selectedTemplateUri=user_derived(
+()=>get$4(selectedTemplate)?.uriTemplate??null),hasTemplateResult=user_derived(()=>!!get$4(selectedTemplate)&&!!get$4(templatePreviewContent)&&!!get$4(templatePreviewUri));var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{
+Dialog_Content($$anchor4,{class:"max-h-[80vh] !max-w-4xl overflow-hidden p-0",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$P(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{class:"border-b border-border/30 px-6 py-4",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$F(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"flex items-c\
+enter gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$n(),node_4=first_child(fragment_4);Folder_open(node_4,{class:"h-5 w-5"});var node_5=sibling(node_4,4);{var consequent=$$anchor10=>{var span=root_5$t(),text2=child(span);reset(span),template_effect(()=>set_text(text2,`(${get$4(totalCount)??""})`)),append($$anchor10,span)};if_block(node_5,$$render=>{get$4(totalCount)>0&&$$render(consequent)})}append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(
+node_6,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Browse and attach resources from connected MCP servers to your chat context.");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),node_7=child(div_1);McpResourceBrowser(node_7,{onSelect:handleResourceSelect,onToggle:handleResourceToggle,onTemplateSelect:handleTemplateSelect,
+get selectedUris(){return selectedResources},get selectedTemplateUri(){return get$4(selectedTemplateUri)},get expandToUri(){return $$props.preSelectedUri}}),reset(div_1);var div_2=sibling(div_1,2),node_8=child(div_2);{var consequent_4=$$anchor6=>{var div_3=root_7$p(),div_4=child(div_3),node_9=child(div_4);Braces(node_9,{class:"h-4 w-4 text-muted-foreground"});var span_1=sibling(node_9,2),text_2=child(span_1,!0);reset(span_1),reset(div_4);var node_10=sibling(div_4,2);{var consequent_1=$$anchor7=>{
+var p2=root_8$k(),text_3=child(p2,!0);reset(p2),template_effect(()=>set_text(text_3,get$4(selectedTemplate).description)),append($$anchor7,p2)};if_block(node_10,$$render=>{get$4(selectedTemplate).description&&$$render(consequent_1)})}var div_5=sibling(node_10,2),p_1=child(div_5),text_4=child(p_1,!0);reset(p_1),reset(div_5);var node_11=sibling(div_5,2);{var consequent_2=$$anchor7=>{var div_6=root_9$k(),node_12=child(div_6);Loader_circle(node_12,{class:"h-6 w-6 animate-spin text-muted-foreground"}),
+reset(div_6),append($$anchor7,div_6)},alternate_1=$$anchor7=>{var fragment_5=comment$2(),node_13=first_child(fragment_5);{var consequent_3=$$anchor8=>{var div_7=root_11$b(),span_2=child(div_7),text_5=child(span_2,!0);reset(span_2);var node_14=sibling(span_2,2);Button(node_14,{size:"sm",variant:"outline",onclick:()=>{set$1(templatePreviewError,null)},children:($$anchor9,$$slotProps3)=>{next$1();var text_6=text$8("Try again");append($$anchor9,text_6)},$$slots:{default:!0}}),reset(div_7),template_effect(
+()=>set_text(text_5,get$4(templatePreviewError))),append($$anchor8,div_7)},alternate=$$anchor8=>{McpResourceTemplateForm($$anchor8,{get template(){return get$4(selectedTemplate)},onResolve:handleTemplateResolve,onCancel:handleTemplateCancelForm})};if_block(node_13,$$render=>{get$4(templatePreviewError)?$$render(consequent_3):$$render(alternate,!1)},!0)}append($$anchor7,fragment_5)};if_block(node_11,$$render=>{get$4(templatePreviewLoading)?$$render(consequent_2):$$render(alternate_1,!1)})}reset(div_3),
+template_effect(()=>{set_text(text_2,get$4(selectedTemplate).title||get$4(selectedTemplate).name),set_text(text_4,get$4(selectedTemplate).uriTemplate)}),append($$anchor6,div_3)},alternate_5=$$anchor6=>{var fragment_7=comment$2(),node_15=first_child(fragment_7);{var consequent_5=$$anchor7=>{{let $0=user_derived(()=>({uri:get$4(templatePreviewUri)??"",name:get$4(templatePreviewUri)?.split("/").pop()||(get$4(templatePreviewUri)??""),serverName:get$4(selectedTemplate)?.serverName||""}));McpResourcePreview(
+$$anchor7,{get resource(){return get$4($0)},get preloadedContent(){return get$4(templatePreviewContent)}})}},alternate_4=$$anchor7=>{var fragment_9=comment$2(),node_16=first_child(fragment_9);{var consequent_6=$$anchor8=>{const allResources=user_derived(getAllResourcesFlatInTreeOrder),selectedResource=user_derived(()=>get$4(allResources).find(r2=>selectedResources.has(r2.uri)));{let $0=user_derived(()=>get$4(selectedResource)??null);McpResourcePreview($$anchor8,{get resource(){return get$4($0)}})}},
+alternate_3=$$anchor8=>{var fragment_11=comment$2(),node_17=first_child(fragment_11);{var consequent_8=$$anchor9=>{var div_8=root_19$2();each(div_8,21,getAllResourcesFlatInTreeOrder,resource=>resource.uri,($$anchor10,resource)=>{var fragment_12=comment$2(),node_18=first_child(fragment_12);{var consequent_7=$$anchor11=>{McpResourcePreview($$anchor11,{get resource(){return get$4(resource)}})};if_block(node_18,$$render=>{selectedResources.has(get$4(resource).uri)&&$$render(consequent_7)})}append($$anchor10,
+fragment_12)}),reset(div_8),append($$anchor9,div_8)},alternate_2=$$anchor9=>{var div_9=root_22$6();append($$anchor9,div_9)};if_block(node_17,$$render=>{selectedResources.size>1?$$render(consequent_8):$$render(alternate_2,!1)},!0)}append($$anchor8,fragment_11)};if_block(node_16,$$render=>{selectedResources.size===1?$$render(consequent_6):$$render(alternate_3,!1)},!0)}append($$anchor7,fragment_9)};if_block(node_15,$$render=>{get$4(hasTemplateResult)?$$render(consequent_5):$$render(alternate_4,!1)},
+!0)}append($$anchor6,fragment_7)};if_block(node_8,$$render=>{get$4(selectedTemplate)&&!get$4(templatePreviewContent)?$$render(consequent_4):$$render(alternate_5,!1)})}reset(div_2),reset(div);var node_19=sibling(div,2);component(node_19,()=>Dialog_footer,($$anchor6,Dialog_Footer)=>{Dialog_Footer($$anchor6,{class:"border-t border-border/30 px-6 py-4",children:($$anchor7,$$slotProps3)=>{var fragment_14=root_23$4(),node_20=first_child(fragment_14);Button(node_20,{variant:"outline",onclick:()=>handleOpenChange(
+!1),children:($$anchor8,$$slotProps4)=>{next$1();var text_7=text$8("Cancel");append($$anchor8,text_7)},$$slots:{default:!0}});var node_21=sibling(node_20,2);{var consequent_10=$$anchor8=>{Button($$anchor8,{onclick:handleAttachTemplateResource,get disabled(){return get$4(isAttaching)},children:($$anchor9,$$slotProps4)=>{var fragment_16=root_26$4(),node_22=first_child(fragment_16);{var consequent_9=$$anchor10=>{Loader_circle($$anchor10,{class:"mr-2 h-4 w-4 animate-spin"})},alternate_6=$$anchor10=>{
+Plus($$anchor10,{class:"mr-2 h-4 w-4"})};if_block(node_22,$$render=>{get$4(isAttaching)?$$render(consequent_9):$$render(alternate_6,!1)})}next$1(),append($$anchor9,fragment_16)},$$slots:{default:!0}})},alternate_8=$$anchor8=>{{let $0=user_derived(()=>selectedResources.size===0||get$4(isAttaching));Button($$anchor8,{onclick:handleAttach,get disabled(){return get$4($0)},children:($$anchor9,$$slotProps4)=>{var fragment_20=root_30$2(),node_23=first_child(fragment_20);{var consequent_11=$$anchor10=>{
+Loader_circle($$anchor10,{class:"mr-2 h-4 w-4 animate-spin"})},alternate_7=$$anchor10=>{Plus($$anchor10,{class:"mr-2 h-4 w-4"})};if_block(node_23,$$render=>{get$4(isAttaching)?$$render(consequent_11):$$render(alternate_7,!1)})}var text_8=sibling(node_23);template_effect(()=>set_text(text_8,` Attach ${selectedResources.size>0?`(${selectedResources.size})`:"Resource"}`)),append($$anchor9,fragment_20)},$$slots:{default:!0}})}};if_block(node_21,$$render=>{get$4(hasTemplateResult)?$$render(consequent_10):
+$$render(alternate_8,!1)})}append($$anchor7,fragment_14)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_7$o=from_html('<img alt="" class="h-3 w-3 shrink-0 rounded-sm"/>'),root_6$s=from_html('<span class="flex items-center gap-1 text-xs text-muted-foreground">· <!> </span>'),root_8$j=from_html('<span class="rounded bg-muted px-1.5 py-0.5 text-xs"> </span>'),root_5$s=from_html(
+'<div class="flex items-center gap-2"><span class="text-xs text-muted-foreground"> </span> <!> <!></div>'),root_3$E=from_html("<!> <!>",1),root_10$f=from_html('<div class="flex items-center justify-center"><img class="max-h-[70vh] max-w-full rounded object-contain"/></div>'),root_14$7=from_html('<pre class="max-h-[70vh] overflow-auto rounded-md border bg-muted/30 p-4 font-mono text-sm break-words whitespace-pre-wrap"> </pre>'),root_15$4=from_html('<div class="py-8 text-center text-sm text-muted-\
+foreground">No content available</div>'),root_2$O=from_html('<!> <div class="flex items-center justify-end gap-1"><!> <!></div> <div class="overflow-auto"><!></div>',1);function DialogMcpResourcePreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);const serverName=user_derived(()=>mcpStore.getServerDisplayName($$props.extra.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.extra.serverName));function getLanguage(){if($$props.extra.mimeType?.includes(
+MimeTypeIncludes.JSON))return MimeTypeIncludes.JSON;if($$props.extra.mimeType?.includes(MimeTypeIncludes.JAVASCRIPT))return MimeTypeIncludes.JAVASCRIPT;if($$props.extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT))return MimeTypeIncludes.TYPESCRIPT;const name=$$props.extra.name||$$props.extra.uri||"";return getLanguageFromFilename(name)||"plaintext"}function handleDownload(){$$props.extra.content&&downloadResourceContent($$props.extra.content,$$props.extra.mimeType||MimeTypeText.PLAIN,$$props.
+extra.name||DEFAULT_RESOURCE_FILENAME)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"grid max-h-[90vh] max-w-5xl over\
+flow-hidden sm:w-auto sm:max-w-6xl",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$O(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$E(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"pr-8",children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8();template_effect(()=>set_text(
+text2,$$props.extra.name)),append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{var div=root_5$s(),span=child(div),text_1=child(span,!0);reset(span);var node_5=sibling(span,2);{var consequent_1=$$anchor10=>{var span_1=root_6$s(),node_6=sibling(child(span_1));{var consequent=$$anchor11=>{var img=root_7$o();template_effect(()=>set_attribute(
+img,"src",get$4(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor11,img)};if_block(node_6,$$render=>{get$4(favicon)&&$$render(consequent)})}var text_2=sibling(node_6);reset(span_1),template_effect(()=>set_text(text_2,` ${get$4(serverName)??""}`)),append($$anchor10,span_1)};if_block(node_5,$$render=>{get$4(serverName)&&$$render(consequent_1)})}var node_7=sibling(node_5,2);{var consequent_2=$$anchor10=>{var span_2=root_8$j(),text_3=child(span_2,
+!0);reset(span_2),template_effect(()=>set_text(text_3,$$props.extra.mimeType)),append($$anchor10,span_2)};if_block(node_7,$$render=>{$$props.extra.mimeType&&$$render(consequent_2)})}reset(div),template_effect(()=>set_text(text_1,$$props.extra.uri)),append($$anchor9,div)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div_1=sibling(node_2,2),node_8=child(div_1);{let $0=user_derived(()=>!!$$props.extra.content);ActionIconCopyToClipboard(node_8,{get text(){return $$props.
+extra.content},get canCopy(){return get$4($0)},ariaLabel:"Copy content"})}var node_9=sibling(node_8,2);{let $0=user_derived(()=>!$$props.extra.content);Button(node_9,{variant:"ghost",size:"sm",class:"h-7 w-7 p-0",onclick:handleDownload,get disabled(){return get$4($0)},title:"Download content",children:($$anchor6,$$slotProps3)=>{Download($$anchor6,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})}reset(div_1);var div_2=sibling(div_1,2),node_10=child(div_2);{var consequent_3=$$anchor6=>{var div_3=root_10$f(),
+img_1=child(div_3);reset(div_3),template_effect($0=>{set_attribute(img_1,"src",$0),set_attribute(img_1,"alt",$$props.extra.name)},[()=>$$props.extra.content.startsWith("data:")?$$props.extra.content:`data:${$$props.extra.mimeType||"image/png"};base64,${$$props.extra.content}`]),append($$anchor6,div_3)},alternate_2=$$anchor6=>{var fragment_6=comment$2(),node_11=first_child(fragment_6);{var consequent_4=$$anchor7=>{{let $0=user_derived(getLanguage);SyntaxHighlightedCode($$anchor7,{get code(){return $$props.
+extra.content},get language(){return get$4($0)},maxHeight:"70vh"})}},alternate_1=$$anchor7=>{var fragment_8=comment$2(),node_12=first_child(fragment_8);{var consequent_5=$$anchor8=>{var pre=root_14$7(),text_4=child(pre,!0);reset(pre),template_effect(()=>set_text(text_4,$$props.extra.content)),append($$anchor8,pre)},alternate=$$anchor8=>{var div_4=root_15$4();append($$anchor8,div_4)};if_block(node_12,$$render=>{$$props.extra.content?$$render(consequent_5):$$render(alternate,!1)},!0)}append($$anchor7,
+fragment_8)};if_block(node_11,$$render=>{isCodeResource($$props.extra.mimeType,$$props.extra.uri)&&$$props.extra.content?$$render(consequent_4):$$render(alternate_1,!1)},!0)}append($$anchor6,fragment_6)};if_block(node_10,$$render=>{isImageResource($$props.extra.mimeType,$$props.extra.uri)&&$$props.extra.content?$$render(consequent_3):$$render(alternate_2,!1)})}reset(div_2),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,
+fragment),pop()}function createDefaultSession(){return{isRunning:!1,currentTurn:0,totalToolCalls:0,lastError:null,streamingToolCall:null}}function toAgenticMessages(messages){return messages.map(message=>message.role===MessageRole.ASSISTANT&&message.tool_calls&&message.tool_calls.length>0?{role:MessageRole.ASSISTANT,content:message.content,tool_calls:message.tool_calls.map((call,index2)=>({id:call.id??`call_${index2}`,type:call.type??ToolCallType.FUNCTION,function:{name:call.function?.name??"",arguments:call.
+function?.arguments??""}}))}:message.role===MessageRole.TOOL&&message.tool_call_id?{role:MessageRole.TOOL,tool_call_id:message.tool_call_id,content:typeof message.content=="string"?message.content:""}:{role:message.role,content:message.content})}class AgenticStore{#_sessions=state$1(proxy(new Map));get _sessions(){return get$4(this.#_sessions)}set _sessions(value){set$1(this.#_sessions,value,!0)}get isReady(){return!0}get isAnyRunning(){for(const session of this._sessions.values())if(session.isRunning)
+return!0;return!1}getSession(conversationId){let session=this._sessions.get(conversationId);return session||(session=createDefaultSession(),this._sessions.set(conversationId,session)),session}updateSession(conversationId,update2){const session=this.getSession(conversationId);this._sessions.set(conversationId,{...session,...update2})}clearSession(conversationId){this._sessions.delete(conversationId)}getActiveSessions(){const active=[];for(const[conversationId,session]of this._sessions.entries())session.
+isRunning&&active.push({conversationId,session});return active}isRunning(conversationId){return this.getSession(conversationId).isRunning}currentTurn(conversationId){return this.getSession(conversationId).currentTurn}totalToolCalls(conversationId){return this.getSession(conversationId).totalToolCalls}lastError(conversationId){return this.getSession(conversationId).lastError}streamingToolCall(conversationId){return this.getSession(conversationId).streamingToolCall}clearError(conversationId){this.
+updateSession(conversationId,{lastError:null})}getConfig(settings,perChatOverrides){const maxTurns=Number(settings.agenticMaxTurns)||DEFAULT_AGENTIC_CONFIG.maxTurns,maxToolPreviewLines=Number(settings.agenticMaxToolPreviewLines)||DEFAULT_AGENTIC_CONFIG.maxToolPreviewLines;return{enabled:mcpStore.hasEnabledServers(perChatOverrides)&&DEFAULT_AGENTIC_CONFIG.enabled,maxTurns,maxToolPreviewLines}}async runAgenticFlow(params){const{conversationId,messages,options={},callbacks,signal,perChatOverrides}=params,
+agenticConfig=this.getConfig(config$1(),perChatOverrides);if(!agenticConfig.enabled)return{handled:!1};if(!await mcpStore.ensureInitialized(perChatOverrides))return console.log("[AgenticStore] MCP not initialized, falling back to standard chat"),{handled:!1};const tools=mcpStore.getToolDefinitionsForLLM();if(tools.length===0)return console.log("[AgenticStore] No tools available, falling back to standard chat"),{handled:!1};console.log(`[AgenticStore] Starting agentic flow with ${tools.length} to\
+ols`);const normalizedMessages=messages.map(msg=>"id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);this.updateSession(conversationId,{isRunning:!0,currentTurn:0,totalToolCalls:0,lastError:null}),mcpStore.acquireConnection();try{return await this.executeAgenticLoop({conversationId,messages:normalizedMessages,options,tools,agenticConfig,
+callbacks,signal}),{handled:!0}}catch(error2){const normalizedError=error2 instanceof Error?error2:new Error(String(error2));return this.updateSession(conversationId,{lastError:normalizedError}),callbacks.onError?.(normalizedError),{handled:!0,error:normalizedError}}finally{this.updateSession(conversationId,{isRunning:!1}),await mcpStore.releaseConnection().catch(err=>console.warn("[AgenticStore] Failed to release MCP connection:",err))}}async executeAgenticLoop(params){const{conversationId,messages,
+options,tools,agenticConfig,callbacks,signal}=params,{onChunk,onReasoningChunk,onToolCallsStreaming,onAttachments,onModel,onAssistantTurnComplete,createToolResultMessage,createAssistantMessage,onFlowComplete,onTimings,onTurnComplete}=callbacks,sessionMessages=toAgenticMessages(messages);let capturedTimings,totalToolCallCount=0;const agenticTimings={turns:0,toolCallsCount:0,toolsMs:0,toolCalls:[],perTurn:[],llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0}},maxTurns=agenticConfig.maxTurns,
+effectiveModel=options.model||modelsStore.models[0]?.model||"";for(let turn=0;turn<maxTurns;turn++){if(this.updateSession(conversationId,{currentTurn:turn+1}),agenticTimings.turns=turn+1,signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn>0&&createAssistantMessage&&await createAssistantMessage();let turnContent="",turnReasoningContent="",turnToolCalls=[],lastStreamingToolCallName="",lastStreamingToolCallArgsLength=0,turnTimings;const turnStats={turn:turn+
+1,llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0},toolCalls:[],toolsMs:0};try{await ChatService.sendMessage(sessionMessages,{...options,stream:!0,tools:tools.length>0?tools:void 0,onChunk:chunk=>{turnContent+=chunk,onChunk?.(chunk)},onReasoningChunk:chunk=>{turnReasoningContent+=chunk,onReasoningChunk?.(chunk)},onToolCallChunk:serialized=>{try{if(turnToolCalls=JSON.parse(serialized),onToolCallsStreaming?.(turnToolCalls),turnToolCalls.length>0&&turnToolCalls[0]?.function){const name=turnToolCalls[0].
+function.name||"",args=turnToolCalls[0].function.arguments||"",argsLengthBucket=Math.floor(args.length/100);(name!==lastStreamingToolCallName||argsLengthBucket!==lastStreamingToolCallArgsLength)&&(lastStreamingToolCallName=name,lastStreamingToolCallArgsLength=argsLengthBucket,this.updateSession(conversationId,{streamingToolCall:{name,arguments:args}}))}}catch{}},onModel,onTimings:(timings,progress)=>{onTimings?.(timings,progress),timings&&(capturedTimings=timings,turnTimings=timings)},onComplete:()=>{},
+onError:error2=>{throw error2}},void 0,signal),this.updateSession(conversationId,{streamingToolCall:null}),turnTimings&&(agenticTimings.llm.predicted_n+=turnTimings.predicted_n||0,agenticTimings.llm.predicted_ms+=turnTimings.predicted_ms||0,agenticTimings.llm.prompt_n+=turnTimings.prompt_n||0,agenticTimings.llm.prompt_ms+=turnTimings.prompt_ms||0,turnStats.llm.predicted_n=turnTimings.predicted_n||0,turnStats.llm.predicted_ms=turnTimings.predicted_ms||0,turnStats.llm.prompt_n=turnTimings.prompt_n||
+0,turnStats.llm.prompt_ms=turnTimings.prompt_ms||0)}catch(error2){if(signal?.aborted){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const normalizedError=error2 instanceof Error?error2:new Error("LLM stream error");throw onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`),await onAssistantTurnComplete?.(
+turnContent+`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings)),normalizedError}if(turnToolCalls.length===0){agenticTimings.perTurn.push(turnStats);const finalTimings=this.buildFinalTimings(capturedTimings,agenticTimings);await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,finalTimings,void 0),
+finalTimings&&onTurnComplete?.(finalTimings),onFlowComplete?.(finalTimings);return}const normalizedCalls=this.normalizeToolCalls(turnToolCalls);if(normalizedCalls.length===0){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}totalToolCallCount+=normalizedCalls.length,this.updateSession(conversationId,{totalToolCalls:totalToolCallCount}),
+await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,turnTimings,normalizedCalls),sessionMessages.push({role:MessageRole.ASSISTANT,content:turnContent||void 0,reasoning_content:turnReasoningContent||void 0,tool_calls:normalizedCalls});for(const toolCall of normalizedCalls){if(signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const toolStartTime=performance.now(),mcpCall={id:toolCall.id,function:{name:toolCall.function.name,arguments:toolCall.
+function.arguments}};let result,toolSuccess=!0;try{result=(await mcpStore.executeTool(mcpCall,signal)).content}catch(error2){if(isAbortError(error2)){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}result=`Error: ${error2 instanceof Error?error2.message:String(error2)}`,toolSuccess=!1}const toolDurationMs=performance.now()-toolStartTime,toolTiming={name:toolCall.function.name,duration_ms:Math.round(toolDurationMs),success:toolSuccess};if(agenticTimings.toolCalls.push(
+toolTiming),agenticTimings.toolCallsCount++,agenticTimings.toolsMs+=Math.round(toolDurationMs),turnStats.toolCalls.push(toolTiming),turnStats.toolsMs+=Math.round(toolDurationMs),signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const{cleanedResult,attachments}=this.extractBase64Attachments(result);let toolResultMessage;createToolResultMessage&&(toolResultMessage=await createToolResultMessage(toolCall.id,cleanedResult,attachments.length>0?attachments:
+void 0)),attachments.length>0&&toolResultMessage&&onAttachments?.(toolResultMessage.id,attachments);const contentParts=[{type:ContentPartType.TEXT,text:cleanedResult}];for(const attachment of attachments)attachment.type===AttachmentType.IMAGE&&(modelsStore.modelSupportsVision(effectiveModel)?contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:attachment.base64Url}}):console.info(`[AgenticStore] Skipping image attachment (model "${effectiveModel}" does not support vision)`));sessionMessages.
+push({role:MessageRole.TOOL,tool_call_id:toolCall.id,content:contentParts.length===1?cleanedResult:contentParts})}if(turnStats.toolCalls.length>0){agenticTimings.perTurn.push(turnStats);const intermediateTimings=this.buildFinalTimings(capturedTimings,agenticTimings);intermediateTimings&&onTurnComplete?.(intermediateTimings)}}onChunk?.(TURN_LIMIT_MESSAGE),await onAssistantTurnComplete?.(TURN_LIMIT_MESSAGE,void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.
+buildFinalTimings(capturedTimings,agenticTimings))}buildFinalTimings(capturedTimings,agenticTimings){return agenticTimings.toolCallsCount===0?capturedTimings:{predicted_n:capturedTimings?.predicted_n,predicted_ms:capturedTimings?.predicted_ms,prompt_n:capturedTimings?.prompt_n,prompt_ms:capturedTimings?.prompt_ms,cache_n:capturedTimings?.cache_n,agentic:agenticTimings}}normalizeToolCalls(toolCalls){return toolCalls?toolCalls.map((call,index2)=>({id:call?.id??`tool_${index2}`,type:call?.type??ToolCallType.
+FUNCTION,function:{name:call?.function?.name??"",arguments:call?.function?.arguments??""}})):[]}extractBase64Attachments(result){if(!result.trim())return{cleanedResult:result,attachments:[]};const lines=result.split(NEWLINE_SEPARATOR),attachments=[];let attachmentIndex=0;return{cleanedResult:lines.map(line=>{const trimmedLine=line.trim(),match=trimmedLine.match(DATA_URI_BASE64_REGEX);if(!match)return line;const mimeType=match[1].toLowerCase();if(!match[2])return line;attachmentIndex+=1;const name=this.
+buildAttachmentName(mimeType,attachmentIndex);return mimeType.startsWith(MimeTypePrefix.IMAGE)?(attachments.push({type:AttachmentType.IMAGE,name,base64Url:trimmedLine}),`[Attachment saved: ${name}]`):line}).join(NEWLINE_SEPARATOR),attachments}}buildAttachmentName(mimeType,index2){const extension2=IMAGE_MIME_TO_EXTENSION[mimeType]??DEFAULT_IMAGE_EXTENSION;return`${MCP_ATTACHMENT_NAME_PREFIX}-${Date.now()}-${index2}.${extension2}`}}const agenticStore=new AgenticStore;class ChatStore{#activeProcessingState=state$1(
+null);get activeProcessingState(){return get$4(this.#activeProcessingState)}set activeProcessingState(value){set$1(this.#activeProcessingState,value,!0)}#currentResponse=state$1("");get currentResponse(){return get$4(this.#currentResponse)}set currentResponse(value){set$1(this.#currentResponse,value,!0)}#errorDialogState=state$1(null);get errorDialogState(){return get$4(this.#errorDialogState)}set errorDialogState(value){set$1(this.#errorDialogState,value,!0)}#isLoading=state$1(!1);get isLoading(){
+return get$4(this.#isLoading)}set isLoading(value){set$1(this.#isLoading,value,!0)}chatLoadingStates=new SvelteMap;chatStreamingStates=new SvelteMap;abortControllers=new SvelteMap;preEncodeAbortController=null;processingStates=new SvelteMap;conversationStateTimestamps=new SvelteMap;#activeConversationId=state$1(null);get activeConversationId(){return get$4(this.#activeConversationId)}set activeConversationId(value){set$1(this.#activeConversationId,value,!0)}#isStreamingActive=state$1(!1);get isStreamingActive(){
+return get$4(this.#isStreamingActive)}set isStreamingActive(value){set$1(this.#isStreamingActive,value,!0)}#isEditModeActive=state$1(!1);get isEditModeActive(){return get$4(this.#isEditModeActive)}set isEditModeActive(value){set$1(this.#isEditModeActive,value,!0)}#addFilesHandler=state$1(null);get addFilesHandler(){return get$4(this.#addFilesHandler)}set addFilesHandler(value){set$1(this.#addFilesHandler,value,!0)}#pendingEditMessageId=state$1(null);get pendingEditMessageId(){return get$4(this.#pendingEditMessageId)}set pendingEditMessageId(value){
+set$1(this.#pendingEditMessageId,value,!0)}messageUpdateCallback=null;#_pendingDraftMessage=state$1("");get _pendingDraftMessage(){return get$4(this.#_pendingDraftMessage)}set _pendingDraftMessage(value){set$1(this.#_pendingDraftMessage,value,!0)}#_pendingDraftFiles=state$1(proxy([]));get _pendingDraftFiles(){return get$4(this.#_pendingDraftFiles)}set _pendingDraftFiles(value){set$1(this.#_pendingDraftFiles,value,!0)}setChatLoading(convId,loading){this.touchConversationState(convId),loading?(this.
+chatLoadingStates.set(convId,!0),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!0)):(this.chatLoadingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!1))}setChatStreaming(convId,response,messageId){this.touchConversationState(convId),this.chatStreamingStates.set(convId,{response,messageId}),convId===conversationsStore.activeConversation?.id&&(this.currentResponse=response)}clearChatStreaming(convId){this.chatStreamingStates.delete(convId),
+convId===conversationsStore.activeConversation?.id&&(this.currentResponse="")}getChatStreaming(convId){return this.chatStreamingStates.get(convId)}syncLoadingStateForChat(convId){this.isLoading=this.chatLoadingStates.get(convId)||!1;const s2=this.chatStreamingStates.get(convId);if(this.currentResponse=s2?.response||"",this.isStreamingActive=s2!==void 0,this.setActiveProcessingConversation(convId),s2?.response&&s2?.messageId){const idx=conversationsStore.findMessageIndex(s2.messageId);idx!==-1&&conversationsStore.
+updateMessageAtIndex(idx,{content:s2.response})}}clearUIState(){this.isLoading=!1,this.currentResponse="",this.isStreamingActive=!1}setActiveProcessingConversation(conversationId){this.activeConversationId=conversationId,this.activeProcessingState=conversationId&&this.processingStates.get(conversationId)||null}getProcessingState(conversationId){return this.processingStates.get(conversationId)||null}setProcessingState(conversationId,state2){state2===null?this.processingStates.delete(conversationId):
+this.processingStates.set(conversationId,state2),conversationId===this.activeConversationId&&(this.activeProcessingState=state2)}clearProcessingState(conversationId){this.processingStates.delete(conversationId),conversationId===this.activeConversationId&&(this.activeProcessingState=null)}getActiveProcessingState(){return this.activeProcessingState}getCurrentProcessingStateSync(){return this.activeProcessingState}setStreamingActive(active){this.isStreamingActive=active}isStreaming(){return this.isStreamingActive}getOrCreateAbortController(convId){
+let c2=this.abortControllers.get(convId);return(!c2||c2.signal.aborted)&&(c2=new AbortController,this.abortControllers.set(convId,c2)),c2}abortRequest(convId){if(convId){const c2=this.abortControllers.get(convId);c2&&(c2.abort(),this.abortControllers.delete(convId))}else{for(const c2 of this.abortControllers.values())c2.abort();this.abortControllers.clear()}}showErrorDialog(state2){this.errorDialogState=state2}dismissErrorDialog(){this.errorDialogState=null}clearEditMode(){this.isEditModeActive=
+!1,this.addFilesHandler=null}isEditing(){return this.isEditModeActive}setEditModeActive(handler){this.isEditModeActive=!0,this.addFilesHandler=handler}getAddFilesHandler(){return this.addFilesHandler}clearPendingEditMessageId(){this.pendingEditMessageId=null}savePendingDraft(message,files){this._pendingDraftMessage=message,this._pendingDraftFiles=[...files]}consumePendingDraft(){if(!this._pendingDraftMessage&&this._pendingDraftFiles.length===0)return null;const d2={message:this._pendingDraftMessage,
+files:[...this._pendingDraftFiles]};return this._pendingDraftMessage="",this._pendingDraftFiles=[],d2}hasPendingDraft(){return!!this._pendingDraftMessage||this._pendingDraftFiles.length>0}getAllLoadingChats(){return Array.from(this.chatLoadingStates.keys())}getAllStreamingChats(){return Array.from(this.chatStreamingStates.keys())}getChatStreamingPublic(convId){return this.getChatStreaming(convId)}isChatLoadingPublic(convId){return this.chatLoadingStates.get(convId)||!1}isChatLoadingInternal(convId){
+return this.chatStreamingStates.has(convId)}touchConversationState(convId){this.conversationStateTimestamps.set(convId,{lastAccessed:Date.now()})}cleanupOldConversationStates(activeConversationIds){const now2=Date.now(),activeIdsList=activeConversationIds??[],preserveIds=this.activeConversationId?[...activeIdsList,this.activeConversationId]:activeIdsList,allConvIds=[...new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.
+keys(),...this.conversationStateTimestamps.keys()])],cleanupCandidates=[];for(const convId of allConvIds){if(preserveIds.includes(convId)||this.chatLoadingStates.get(convId)||this.chatStreamingStates.has(convId))continue;const ts=this.conversationStateTimestamps.get(convId);cleanupCandidates.push({convId,lastAccessed:ts?.lastAccessed??0})}cleanupCandidates.sort((a,b)=>a.lastAccessed-b.lastAccessed);let cleanedUp=0;for(const{convId,lastAccessed}of cleanupCandidates)(cleanupCandidates.length-cleanedUp>
+MAX_INACTIVE_CONVERSATION_STATES||now2-lastAccessed>INACTIVE_CONVERSATION_STATE_MAX_AGE_MS)&&(this.cleanupConversationState(convId),cleanedUp++);return cleanedUp}cleanupConversationState(convId){const c2=this.abortControllers.get(convId);c2&&!c2.signal.aborted&&c2.abort(),this.chatLoadingStates.delete(convId),this.chatStreamingStates.delete(convId),this.abortControllers.delete(convId),this.processingStates.delete(convId),this.conversationStateTimestamps.delete(convId)}getTrackedConversationCount(){
+return new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys()]).size}getMessageByIdWithRole(messageId,expectedRole){const index2=conversationsStore.findMessageIndex(messageId);if(index2===-1)return null;const message=conversationsStore.activeMessages[index2];return expectedRole&&message.role!==expectedRole?null:{message,index:index2}}async addMessage(role,content2,type2=MessageType.TEXT,parent="-1",extras){const activeConv=conversationsStore.
+activeConversation;if(!activeConv)throw new Error("No active conversation");let parentId=null;if(parent==="-1"){const am=conversationsStore.activeMessages;if(am.length>0)parentId=am[am.length-1].id;else{const r2=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.parent===null&&m.type==="root");parentId=r2?r2.id:await DatabaseService.createRootMessage(activeConv.id)}}else parentId=parent;const message=await DatabaseService.createMessageBranch({convId:activeConv.id,role,content:content2,
+type:type2,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},parentId);return conversationsStore.addMessageToActive(message),await conversationsStore.updateCurrentNode(message.id),conversationsStore.updateConversationTimestamp(),message}async addSystemPrompt(){let activeConv=conversationsStore.activeConversation;if(activeConv||(await conversationsStore.createConversation(),activeConv=conversationsStore.activeConversation),!!activeConv)try{const allMessages=await conversationsStore.getConversationMessages(
+activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),rootId=rootMessage?rootMessage.id:await DatabaseService.createRootMessage(activeConv.id),existingSystemMessage=allMessages.find(m=>m.role===MessageRole.SYSTEM&&m.parent===rootId);if(existingSystemMessage){this.pendingEditMessageId=existingSystemMessage.id,conversationsStore.activeMessages.some(m=>m.id===existingSystemMessage.id)||conversationsStore.activeMessages.unshift(existingSystemMessage);return}const firstActiveMessage=conversationsStore.
+activeMessages.find(m=>m.parent===rootId),systemMessage=await DatabaseService.createSystemMessage(activeConv.id,SYSTEM_MESSAGE_PLACEHOLDER,rootId);if(firstActiveMessage){await DatabaseService.updateMessage(firstActiveMessage.id,{parent:systemMessage.id}),await DatabaseService.updateMessage(systemMessage.id,{children:[firstActiveMessage.id]});const updatedRootChildren=rootMessage?rootMessage.children.filter(id2=>id2!==firstActiveMessage.id):[];await DatabaseService.updateMessage(rootId,{children:[
+...updatedRootChildren.filter(id2=>id2!==systemMessage.id),systemMessage.id]});const firstMsgIndex=conversationsStore.findMessageIndex(firstActiveMessage.id);firstMsgIndex!==-1&&conversationsStore.updateMessageAtIndex(firstMsgIndex,{parent:systemMessage.id})}conversationsStore.activeMessages.unshift(systemMessage),this.pendingEditMessageId=systemMessage.id,conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to add system prompt:",error2)}}async removeSystemPromptPlaceholder(messageId){
+const activeConv=conversationsStore.activeConversation;if(!activeConv)return!1;try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),systemMessage=findMessageById(allMessages,messageId);if(!systemMessage||systemMessage.role!==MessageRole.SYSTEM)return!1;const rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null);if(!rootMessage)return!1;if(allMessages.length===2&&systemMessage.children.length===0)return await conversationsStore.deleteConversation(activeConv.
+id),!0;for(const childId of systemMessage.children){await DatabaseService.updateMessage(childId,{parent:rootMessage.id});const childIndex=conversationsStore.findMessageIndex(childId);childIndex!==-1&&conversationsStore.updateMessageAtIndex(childIndex,{parent:rootMessage.id})}await DatabaseService.updateMessage(rootMessage.id,{children:[...rootMessage.children.filter(id2=>id2!==messageId),...systemMessage.children]}),await DatabaseService.deleteMessage(messageId);const systemIndex=conversationsStore.
+findMessageIndex(messageId);return systemIndex!==-1&&conversationsStore.activeMessages.splice(systemIndex,1),conversationsStore.updateConversationTimestamp(),!1}catch(error2){return console.error("Failed to remove system prompt placeholder:",error2),!1}}async createAssistantMessage(parentId){const activeConv=conversationsStore.activeConversation;if(!activeConv)throw new Error("No active conversation");return await DatabaseService.createMessageBranch({convId:activeConv.id,type:MessageType.TEXT,role:MessageRole.
+ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:null},parentId||null)}async sendMessage(content2,extras){if(!content2.trim()&&(!extras||extras.length===0))return;const activeConv=conversationsStore.activeConversation;if(activeConv&&this.isChatLoadingInternal(activeConv.id))return;this.cancelPreEncode();const resourceExtras=mcpStore.consumeResourceAttachmentsAsExtras(),allExtras=resourceExtras.length>0?[...extras||[],...resourceExtras]:extras;let isNewConversation=!1;activeConv||
+(await conversationsStore.createConversation(),isNewConversation=!0);const currentConv=conversationsStore.activeConversation;if(currentConv){this.showErrorDialog(null),this.setChatLoading(currentConv.id,!0),this.clearChatStreaming(currentConv.id);try{let parentIdForUserMessage;if(isNewConversation){const rootId=await DatabaseService.createRootMessage(currentConv.id),systemPrompt=config$1().systemMessage?.toString().trim();if(systemPrompt){const systemMessage=await DatabaseService.createSystemMessage(
+currentConv.id,systemPrompt,rootId);conversationsStore.addMessageToActive(systemMessage),parentIdForUserMessage=systemMessage.id}else parentIdForUserMessage=rootId}const userMessage=await this.addMessage(MessageRole.USER,content2,MessageType.TEXT,parentIdForUserMessage??"-1",allExtras);isNewConversation&&content2&&await conversationsStore.updateConversationName(currentConv.id,generateConversationTitle(content2,!!config$1().titleGenerationUseFirstLine));const assistantMessage=await this.createAssistantMessage(
+userMessage.id);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){if(isAbortError(error2)){this.setChatLoading(currentConv.id,!1);return}console.error("Failed to send message:",error2),this.setChatLoading(currentConv.id,!1);const dialogType=error2 instanceof Error&&error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,contextInfo=error2.contextInfo;this.showErrorDialog(
+{type:dialogType,message:error2 instanceof Error?error2.message:"Unknown error",contextInfo})}}}async streamChatCompletion(allMessages,assistantMessage,onComplete,onError,modelOverride){let effectiveModel=modelOverride;if(isRouterMode()&&!effectiveModel){const conversationModel=this.getConversationModel(allMessages);effectiveModel=selectedModelName()||conversationModel}isRouterMode()&&effectiveModel&&(modelsStore.getModelProps(effectiveModel)||await modelsStore.fetchModelProps(effectiveModel));let currentMessageId=assistantMessage.
+id,streamedContent="",streamedReasoningContent="",resolvedModel=null,modelPersisted=!1;const convId=assistantMessage.convId,recordModel=(modelName,persistImmediately=!0)=>{if(!modelName)return;const n=normalizeModelName(modelName);if(!n||n===resolvedModel)return;resolvedModel=n;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{model:n}),persistImmediately&&!modelPersisted&&(modelPersisted=!0,DatabaseService.updateMessage(currentMessageId,
+{model:n}).catch(()=>{modelPersisted=!1,resolvedModel=null}))},updateStreamingUI=()=>{this.setChatStreaming(convId,streamedContent,currentMessageId);const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{content:streamedContent})},cleanupStreamingState=()=>{this.setStreamingActive(!1),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null)};this.setStreamingActive(!0),this.setActiveProcessingConversation(
+convId);const abortController=this.getOrCreateAbortController(convId),streamCallbacks={onChunk:chunk=>{streamedContent+=chunk,updateStreamingUI()},onReasoningChunk:chunk=>{streamedReasoningContent+=chunk;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{reasoningContent:streamedReasoningContent})},onToolCallsStreaming:toolCalls=>{const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{
+toolCalls:JSON.stringify(toolCalls)})},onAttachments:(messageId,extras)=>{if(!extras.length)return;const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const updatedExtras=[...conversationsStore.activeMessages[idx].extra||[],...extras];conversationsStore.updateMessageAtIndex(idx,{extra:updatedExtras}),DatabaseService.updateMessage(messageId,{extra:updatedExtras}).catch(console.error)},onModel:modelName=>recordModel(modelName),onTurnComplete:intermediateTimings=>{const idx=conversationsStore.
+findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:intermediateTimings})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n||0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},convId)},
+onAssistantTurnComplete:async(content2,reasoningContent,timings,toolCalls)=>{const updateData={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls?JSON.stringify(toolCalls):"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls?JSON.
+stringify(toolCalls):""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId)},createToolResultMessage:async(toolCallId,content2,extras)=>{const msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:content2,toolCallId,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},currentMessageId);return conversationsStore.
+addMessageToActive(msg),await conversationsStore.updateCurrentNode(msg.id),msg},createAssistantMessage:async()=>{streamedContent="",streamedReasoningContent="";const lastMsg=conversationsStore.activeMessages[conversationsStore.activeMessages.length-1],msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:resolvedModel},lastMsg.id);return conversationsStore.addMessageToActive(msg),currentMessageId=
+msg.id,msg},onFlowComplete:finalTimings=>{if(finalTimings){const idx=conversationsStore.findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:finalTimings}),DatabaseService.updateMessage(assistantMessage.id,{timings:finalTimings}).catch(console.error)}cleanupStreamingState(),onComplete&&onComplete(streamedContent),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error),config$1().preEncodeConversation&&this.triggerPreEncode(allMessages,assistantMessage,
+streamedContent,effectiveModel,!!config$1().excludeReasoningFromContext)},onError:error2=>{if(this.setStreamingActive(!1),isAbortError(error2)){cleanupStreamingState();return}console.error("Streaming error:",error2),cleanupStreamingState();const idx=conversationsStore.findMessageIndex(assistantMessage.id);if(idx!==-1){const failedMessage=conversationsStore.removeMessageAtIndex(idx);failedMessage&&DatabaseService.deleteMessage(failedMessage.id).catch(console.error)}const contextInfo=error2.contextInfo;
+this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message,contextInfo}),onError&&onError(error2)}},perChatOverrides=conversationsStore.activeConversation?.mcpServerOverrides;agenticStore.getConfig(config$1(),perChatOverrides).enabled&&(await agenticStore.runAgenticFlow({conversationId:convId,messages:allMessages,options:{...this.getApiOptions(),...effectiveModel?{model:effectiveModel}:{}},callbacks:streamCallbacks,signal:abortController.
+signal,perChatOverrides})).handled||await ChatService.sendMessage(allMessages,{...this.getApiOptions(),...effectiveModel?{model:effectiveModel}:{},stream:!0,onChunk:streamCallbacks.onChunk,onReasoningChunk:streamCallbacks.onReasoningChunk,onModel:streamCallbacks.onModel,onTimings:streamCallbacks.onTimings,onComplete:async(finalContent,reasoningContent,timings,toolCalls)=>{const content2=streamedContent||finalContent||"",reasoning=streamedReasoningContent||reasoningContent,updateData={content:content2,
+reasoningContent:reasoning||void 0,toolCalls:toolCalls||"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoning||void 0,toolCalls:toolCalls||""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.
+updateCurrentNode(currentMessageId),cleanupStreamingState(),onComplete&&await onComplete(content2),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error)},onError:streamCallbacks.onError},convId,abortController.signal)}async stopGeneration(){const activeConv=conversationsStore.activeConversation;activeConv&&await this.stopGenerationForChat(activeConv.id)}async stopGenerationForChat(convId){await this.savePartialResponseIfNeeded(convId),this.setStreamingActive(!1),this.abortRequest(
+convId),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null)}async savePartialResponseIfNeeded(convId){const conversationId=convId||conversationsStore.activeConversation?.id;if(!conversationId)return;const streamingState=this.getChatStreaming(conversationId);if(!streamingState||!streamingState.response.trim())return;const messages=conversationId===conversationsStore.activeConversation?.id?conversationsStore.activeMessages:await conversationsStore.getConversationMessages(
+conversationId);if(!messages.length)return;const lastMessage=messages[messages.length-1];if(lastMessage?.role===MessageRole.ASSISTANT)try{const updateData={content:streamingState.response},lastKnownState=this.getProcessingState(conversationId);lastKnownState&&(updateData.timings={prompt_n:lastKnownState.promptTokens||0,prompt_ms:lastKnownState.promptMs,predicted_n:lastKnownState.tokensDecoded||0,cache_n:lastKnownState.cacheTokens||0,predicted_ms:lastKnownState.tokensPerSecond&&lastKnownState.tokensDecoded?
+lastKnownState.tokensDecoded/lastKnownState.tokensPerSecond*1e3:void 0}),await DatabaseService.updateMessage(lastMessage.id,updateData),lastMessage.content=streamingState.response,updateData.timings&&(lastMessage.timings=updateData.timings)}catch(error2){lastMessage.content=streamingState.response,console.error("Failed to save partial response:",error2)}}async updateMessage(messageId,newContent){const activeConv=conversationsStore.activeConversation;if(!activeConv)return;this.isChatLoadingInternal(
+activeConv.id)&&await this.stopGeneration();const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:messageToUpdate,index:messageIndex}=result,originalContent=messageToUpdate.content;try{const rootMessage=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=rootMessage&&messageToUpdate.parent===rootMessage.id;conversationsStore.updateMessageAtIndex(messageIndex,{content:newContent}),
+await DatabaseService.updateMessage(messageId,{content:newContent}),isFirstUserMessage&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine));const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex+1);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex+1),conversationsStore.
+updateConversationTimestamp(),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const assistantMessage=await this.createAssistantMessage();conversationsStore.addMessageToActive(assistantMessage),await conversationsStore.updateCurrentNode(assistantMessage.id),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage,void 0,()=>{conversationsStore.updateMessageAtIndex(conversationsStore.findMessageIndex(messageId),{content:originalContent})})}catch(error2){
+isAbortError(error2)||console.error("Failed to update message:",error2)}}async regenerateMessage(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;this.cancelPreEncode();const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{index:messageIndex}=result;try{const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex);for(const message of messagesToRemove)await DatabaseService.
+deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex),conversationsStore.updateConversationTimestamp(),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const parentMessageId=conversationsStore.activeMessages.length>0?conversationsStore.activeMessages[conversationsStore.activeMessages.length-1].id:void 0,assistantMessage=await this.createAssistantMessage(parentMessageId);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(
+conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){isAbortError(error2)||console.error("Failed to regenerate message:",error2),this.setChatLoading(activeConv?.id||"",!1)}}async regenerateMessageWithBranching(messageId,modelOverride){const activeConv=conversationsStore.activeConversation;if(!(!activeConv||this.isChatLoadingInternal(activeConv.id))){this.cancelPreEncode();try{const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const msg=conversationsStore.
+activeMessages[idx];if(msg.role!==MessageRole.ASSISTANT)return;const allMessages=await conversationsStore.getConversationMessages(activeConv.id),parentMessage=findMessageById(allMessages,msg.parent);if(!parentMessage)return;this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const newAssistantMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:"",toolCalls:"",children:[],model:null},parentMessage.id);
+await conversationsStore.updateCurrentNode(newAssistantMessage.id),conversationsStore.updateConversationTimestamp(),await conversationsStore.refreshActiveMessages();const conversationPath=filterByLeafNodeId(allMessages,parentMessage.id,!1),modelToUse=modelOverride||msg.model||void 0;await this.streamChatCompletion(conversationPath,newAssistantMessage,void 0,void 0,modelToUse)}catch(error2){isAbortError(error2)||console.error("Failed to regenerate message with branching:",error2),this.setChatLoading(
+activeConv?.id||"",!1)}}}async getDeletionInfo(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv)return{totalCount:0,userMessages:0,assistantMessages:0,messageTypes:[]};const allMessages=await conversationsStore.getConversationMessages(activeConv.id);if(findMessageById(allMessages,messageId)?.role===MessageRole.SYSTEM){const messagesToDelete2=allMessages.filter(m=>m.id===messageId);let userMessages2=0,assistantMessages2=0;const messageTypes2=[];for(const msg of messagesToDelete2)
+msg.role===MessageRole.USER?(userMessages2++,messageTypes2.includes("user message")||messageTypes2.push("user message")):msg.role===MessageRole.ASSISTANT&&(assistantMessages2++,messageTypes2.includes("assistant response")||messageTypes2.push("assistant response"));return{totalCount:1,userMessages:userMessages2,assistantMessages:assistantMessages2,messageTypes:messageTypes2}}const descendants=findDescendantMessages(allMessages,messageId),allToDelete=[messageId,...descendants],messagesToDelete=allMessages.
+filter(m=>allToDelete.includes(m.id));let userMessages=0,assistantMessages=0;const messageTypes=[];for(const msg of messagesToDelete)msg.role===MessageRole.USER?(userMessages++,messageTypes.includes("user message")||messageTypes.push("user message")):msg.role===MessageRole.ASSISTANT&&(assistantMessages++,messageTypes.includes("assistant response")||messageTypes.push("assistant response"));return{totalCount:allToDelete.length,userMessages,assistantMessages,messageTypes}}async deleteMessage(messageId){
+const activeConv=conversationsStore.activeConversation;if(activeConv)try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),messageToDelete=findMessageById(allMessages,messageId);if(!messageToDelete)return;if(filterByLeafNodeId(allMessages,activeConv.currNode||"",!1).some(m=>m.id===messageId)&&messageToDelete.parent){const siblings2=allMessages.filter(m=>m.parent===messageToDelete.parent&&m.id!==messageId);if(siblings2.length>0){const latestSibling=siblings2.reduce(
+(latest,sibling2)=>sibling2.timestamp>latest.timestamp?sibling2:latest);await conversationsStore.updateCurrentNode(findLeafNode(allMessages,latestSibling.id))}else messageToDelete.parent&&await conversationsStore.updateCurrentNode(findLeafNode(allMessages,messageToDelete.parent))}await DatabaseService.deleteMessageCascading(activeConv.id,messageId),await conversationsStore.refreshActiveMessages(),conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to delete messa\
+ge:",error2)}}async continueAssistantMessage(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{this.showErrorDialog(null),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const allMessages=await conversationsStore.getConversationMessages(activeConv.id),dbMessage=findMessageById(
+allMessages,messageId);if(!dbMessage){this.setChatLoading(activeConv.id,!1);return}const originalContent=dbMessage.content,originalReasoning=dbMessage.reasoningContent||"",contextWithContinue=[...conversationsStore.activeMessages.slice(0,idx),{role:MessageRole.ASSISTANT,content:originalContent}];let appendedContent="",appendedReasoning="",hasReceivedContent=!1;const updateStreamingContent=fullContent=>{this.setChatStreaming(msg.convId,fullContent,msg.id),conversationsStore.updateMessageAtIndex(idx,
+{content:fullContent})},abortController=this.getOrCreateAbortController(msg.convId);await ChatService.sendMessage(contextWithContinue,{...this.getApiOptions(),onChunk:chunk=>{appendedContent+=chunk,hasReceivedContent=!0,updateStreamingContent(originalContent+appendedContent)},onReasoningChunk:chunk=>{appendedReasoning+=chunk,hasReceivedContent=!0,conversationsStore.updateMessageAtIndex(idx,{reasoningContent:originalReasoning+appendedReasoning})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.
+predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n||0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},msg.convId)},onComplete:async(finalContent,reasoningContent,timings)=>{const finalAppendedContent=hasReceivedContent?appendedContent:finalContent||"",finalAppendedReasoning=hasReceivedContent?
+appendedReasoning:reasoningContent||"",fullContent=originalContent+finalAppendedContent,fullReasoning=originalReasoning+finalAppendedReasoning||void 0;await DatabaseService.updateMessage(msg.id,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateMessageAtIndex(idx,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateConversationTimestamp(),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(
+msg.convId),this.setProcessingState(msg.convId,null)},onError:async error2=>{if(isAbortError(error2)){hasReceivedContent&&appendedContent&&(await DatabaseService.updateMessage(msg.id,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()}),conversationsStore.updateMessageAtIndex(idx,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()})),this.setChatLoading(msg.
+convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null);return}console.error("Continue generation error:",error2),conversationsStore.updateMessageAtIndex(idx,{content:originalContent}),await DatabaseService.updateMessage(msg.id,{content:originalContent}),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null),this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,
+message:error2.message})}},msg.convId,abortController.signal)}catch(error2){isAbortError(error2)||console.error("Failed to continue message:",error2),activeConv&&this.setChatLoading(activeConv.id,!1)}}async editAssistantMessage(messageId,newContent,shouldBranch){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;
+try{if(shouldBranch){const newMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:newContent,toolCalls:msg.toolCalls||"",children:[],model:msg.model},msg.parent);await conversationsStore.updateCurrentNode(newMessage.id)}else await DatabaseService.updateMessage(msg.id,{content:newContent}),conversationsStore.updateMessageAtIndex(idx,{content:newContent});conversationsStore.updateConversationTimestamp(),await conversationsStore.
+refreshActiveMessages()}catch(error2){console.error("Failed to edit assistant message:",error2)}}async editUserMessagePreserveResponses(messageId,newContent,newExtras){const activeConv=conversationsStore.activeConversation;if(!activeConv)return;const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:msg,index:idx}=result;try{const updateData={content:newContent};newExtras!==void 0&&(updateData.extra=JSON.parse(JSON.stringify(newExtras))),await DatabaseService.
+updateMessage(messageId,updateData),conversationsStore.updateMessageAtIndex(idx,updateData);const rootMessage=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.type==="root"&&m.parent===null);rootMessage&&msg.parent===rootMessage.id&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine)),conversationsStore.updateConversationTimestamp()}catch(error2){
+console.error("Failed to edit user message:",error2)}}async editMessageWithBranching(messageId,newContent,newExtras){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;let result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(result||(result=this.getMessageByIdWithRole(messageId,MessageRole.SYSTEM)),!result)return;const{message:msg,index:idx}=result;try{const allMessages=await conversationsStore.getConversationMessages(
+activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=msg.role===MessageRole.USER&&rootMessage&&msg.parent===rootMessage.id,extrasToUse=newExtras!==void 0?JSON.parse(JSON.stringify(newExtras)):msg.extra?JSON.parse(JSON.stringify(msg.extra)):void 0;let messageIdForResponse;const dbMsg=findMessageById(allMessages,msg.id);if(dbMsg?dbMsg.children.length>0:msg.children.length>0){const parentId=msg.parent||rootMessage?.id;if(!parentId)return;const newMessage=await DatabaseService.
+createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:newContent,toolCalls:msg.toolCalls||"",children:[],extra:extrasToUse,model:msg.model},parentId);await conversationsStore.updateCurrentNode(newMessage.id),messageIdForResponse=newMessage.id}else{const updates={content:newContent,timestamp:Date.now(),extra:extrasToUse};await DatabaseService.updateMessage(msg.id,updates),conversationsStore.updateMessageAtIndex(idx,updates),messageIdForResponse=msg.id}conversationsStore.
+updateConversationTimestamp(),isFirstUserMessage&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine)),await conversationsStore.refreshActiveMessages(),msg.role===MessageRole.USER&&await this.generateResponseForMessage(messageIdForResponse)}catch(error2){console.error("Failed to edit message with branching:",error2)}}async generateResponseForMessage(userMessageId){const activeConv=conversationsStore.
+activeConversation;if(activeConv){this.showErrorDialog(null),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),conversationPath=filterByLeafNodeId(allMessages,userMessageId,!1),assistantMessage=await DatabaseService.createMessageBranch({convId:activeConv.id,type:MessageType.TEXT,timestamp:Date.now(),role:MessageRole.ASSISTANT,content:"",toolCalls:"",children:[],model:null},userMessageId);
+conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationPath,assistantMessage)}catch(error2){console.error("Failed to generate response:",error2),this.setChatLoading(activeConv.id,!1)}}}getContextTotal(){const activeConvId=this.activeConversationId,activeState=activeConvId?this.getProcessingState(activeConvId):null;if(activeState&&typeof activeState.contextTotal=="number"&&activeState.contextTotal>0)return activeState.contextTotal;if(isRouterMode()){const modelContextSize=selectedModelContextSize();
+if(typeof modelContextSize=="number"&&modelContextSize>0)return modelContextSize}else{const propsContextSize=contextSize();if(typeof propsContextSize=="number"&&propsContextSize>0)return propsContextSize}return null}updateProcessingStateFromTimings(timingData,conversationId){const processingState=this.parseTimingData(timingData);if(processingState===null){console.warn("Failed to parse timing data - skipping update");return}const targetId=conversationId||this.activeConversationId;targetId&&this.setProcessingState(
+targetId,processingState)}parseTimingData(timingData){const promptTokens=timingData.prompt_n||0,promptMs=timingData.prompt_ms||void 0,predictedTokens=timingData.predicted_n||0,tokensPerSecond=timingData.predicted_per_second||0,cacheTokens=timingData.cache_n||0,promptProgress=timingData.prompt_progress,contextTotal=this.getContextTotal(),currentConfig=config$1(),outputTokensMax=currentConfig.max_tokens||-1,contextUsed=promptTokens+cacheTokens+predictedTokens,outputTokensUsed=predictedTokens,progressCache=promptProgress?.
+cache||0,progressActualDone=(promptProgress?.processed??0)-progressCache,progressActualTotal=(promptProgress?.total??0)-progressCache,progressPercent=promptProgress?Math.round(progressActualDone/progressActualTotal*100):void 0;return{status:predictedTokens>0?"generating":promptProgress?"preparing":"idle",tokensDecoded:predictedTokens,tokensRemaining:outputTokensMax-predictedTokens,contextUsed,contextTotal,outputTokensUsed,outputTokensMax,hasNextToken:predictedTokens>0,tokensPerSecond,temperature:currentConfig.
+temperature??.8,topP:currentConfig.top_p??.95,speculative:!1,progressPercent,promptProgress,promptTokens,promptMs,cacheTokens}}restoreProcessingStateFromMessages(messages,conversationId){for(let i=messages.length-1;i>=0;i--){const message=messages[i];if(message.role===MessageRole.ASSISTANT&&message.timings){const restoredState=this.parseTimingData({prompt_n:message.timings.prompt_n||0,prompt_ms:message.timings.prompt_ms,predicted_n:message.timings.predicted_n||0,predicted_per_second:message.timings.
+predicted_n&&message.timings.predicted_ms?message.timings.predicted_n/message.timings.predicted_ms*1e3:0,cache_n:message.timings.cache_n||0});if(restoredState){this.setProcessingState(conversationId,restoredState);return}}}}getConversationModel(messages){for(let i=messages.length-1;i>=0;i--){const message=messages[i];if(message.role===MessageRole.ASSISTANT&&message.model)return message.model}return null}getApiOptions(){const currentConfig=config$1(),hasValue=value=>value!=null&&value!=="",apiOptions={
+stream:!0,timings_per_token:!0};if(isRouterMode()){const modelName=selectedModelName();modelName&&(apiOptions.model=modelName)}return currentConfig.systemMessage&&(apiOptions.systemMessage=currentConfig.systemMessage),currentConfig.disableReasoningParsing&&(apiOptions.disableReasoningParsing=!0),currentConfig.excludeReasoningFromContext&&(apiOptions.excludeReasoningFromContext=!0),hasValue(currentConfig.temperature)&&(apiOptions.temperature=Number(currentConfig.temperature)),hasValue(currentConfig.
+max_tokens)&&(apiOptions.max_tokens=Number(currentConfig.max_tokens)),hasValue(currentConfig.dynatemp_range)&&(apiOptions.dynatemp_range=Number(currentConfig.dynatemp_range)),hasValue(currentConfig.dynatemp_exponent)&&(apiOptions.dynatemp_exponent=Number(currentConfig.dynatemp_exponent)),hasValue(currentConfig.top_k)&&(apiOptions.top_k=Number(currentConfig.top_k)),hasValue(currentConfig.top_p)&&(apiOptions.top_p=Number(currentConfig.top_p)),hasValue(currentConfig.min_p)&&(apiOptions.min_p=Number(
+currentConfig.min_p)),hasValue(currentConfig.xtc_probability)&&(apiOptions.xtc_probability=Number(currentConfig.xtc_probability)),hasValue(currentConfig.xtc_threshold)&&(apiOptions.xtc_threshold=Number(currentConfig.xtc_threshold)),hasValue(currentConfig.typ_p)&&(apiOptions.typ_p=Number(currentConfig.typ_p)),hasValue(currentConfig.repeat_last_n)&&(apiOptions.repeat_last_n=Number(currentConfig.repeat_last_n)),hasValue(currentConfig.repeat_penalty)&&(apiOptions.repeat_penalty=Number(currentConfig.
+repeat_penalty)),hasValue(currentConfig.presence_penalty)&&(apiOptions.presence_penalty=Number(currentConfig.presence_penalty)),hasValue(currentConfig.frequency_penalty)&&(apiOptions.frequency_penalty=Number(currentConfig.frequency_penalty)),hasValue(currentConfig.dry_multiplier)&&(apiOptions.dry_multiplier=Number(currentConfig.dry_multiplier)),hasValue(currentConfig.dry_base)&&(apiOptions.dry_base=Number(currentConfig.dry_base)),hasValue(currentConfig.dry_allowed_length)&&(apiOptions.dry_allowed_length=
+Number(currentConfig.dry_allowed_length)),hasValue(currentConfig.dry_penalty_last_n)&&(apiOptions.dry_penalty_last_n=Number(currentConfig.dry_penalty_last_n)),currentConfig.samplers&&(apiOptions.samplers=currentConfig.samplers),apiOptions.backend_sampling=currentConfig.backend_sampling,currentConfig.custom&&(apiOptions.custom=currentConfig.custom),apiOptions}cancelPreEncode(){this.preEncodeAbortController&&(this.preEncodeAbortController.abort(),this.preEncodeAbortController=null)}async triggerPreEncode(allMessages,assistantMessage,assistantContent,model,excludeReasoning){
+this.cancelPreEncode(),this.preEncodeAbortController=new AbortController;const signal=this.preEncodeAbortController.signal;try{if(!await ChatService.areAllSlotsIdle(model,signal)||signal.aborted)return;const messagesWithAssistant=[...allMessages,{...assistantMessage,content:assistantContent}];await ChatService.preEncode(messagesWithAssistant,model,excludeReasoning,signal)}catch(err){isAbortError(err)||console.warn("[ChatStore] Pre-encode failed:",err)}}}const chatStore=new ChatStore,activeProcessingState=()=>chatStore.
+activeProcessingState,errorDialog=()=>chatStore.errorDialogState,getAddFilesHandler=()=>chatStore.getAddFilesHandler(),getAllLoadingChats=()=>chatStore.getAllLoadingChats(),isChatStreaming=()=>chatStore.isStreaming(),isEditing=()=>chatStore.isEditing(),isLoading=()=>chatStore.isLoading,pendingEditMessageId=()=>chatStore.pendingEditMessageId;var root$1d=from_html('<!> <form><!> <!> <div data-slot="input-area"><!> <div class="flex-column relative min-h-[48px] items-center rounded-3xl py-2 pb-2.25 \
+shadow-sm transition-all focus-within:shadow-md md:!py-3"><!> <!> <!></div></div></form> <!>',1);function ChatForm($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]),className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),placeholder=prop($$props,"placeholder",3,"Type a message..."),showMcpPromptButton=prop($$props,"showMcpPromptButton",3,!1),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy(
+[])),value=prop($$props,"value",15,""),audioRecorder,chatFormActionsRef=state$1(void 0),fileInputRef=state$1(void 0),promptPickerRef=state$1(void 0),resourcePickerRef=state$1(void 0),textareaRef=state$1(void 0),isRecording=state$1(!1),recordingSupported=state$1(!1),isPromptPickerOpen=state$1(!1),promptSearchQuery=state$1(""),isInlineResourcePickerOpen=state$1(!1),resourceSearchQuery=state$1(""),isResourceDialogOpen=state$1(!1),preSelectedResourceUri=state$1(void 0),currentConfig=user_derived(config$1),
+pasteLongTextToFileLength=user_derived(()=>{const n=Number(get$4(currentConfig).pasteLongTextToFileLen);return Number.isNaN(n)?Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen):n}),isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$4(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.
+find(m=>m.id===selectedId);if(model)return model.model}if(get$4(conversationModel)){const model=options.find(m=>m.model===get$4(conversationModel));if(model)return model.model}return null}),hasModelSelected=user_derived(()=>!get$4(isRouter)||!!get$4(conversationModel)||!!selectedModelId()),hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading)),hasAttachments=user_derived(()=>attachments()&&attachments().length>0||uploadedFiles()&&uploadedFiles().length>0),canSubmit=user_derived(
+()=>value().trim().length>0||get$4(hasAttachments));onMount$1(()=>{set$1(recordingSupported,isAudioRecordingSupported(),!0),audioRecorder=new AudioRecorder});function focus2(){get$4(textareaRef)?.focus()}function resetTextareaHeight(){get$4(textareaRef)?.resetHeight()}function openModelSelector(){get$4(chatFormActionsRef)?.openModelSelector()}function checkModelSelected(){return get$4(hasModelSelected)?!0:(get$4(chatFormActionsRef)?.openModelSelector(),!1)}function handleFileSelect(files){$$props.
+onFilesAdd?.(files)}function handleFileUpload(){get$4(fileInputRef)?.click()}function handleFileRemove(fileId){if(fileId.startsWith("attachment-")){const index2=parseInt(fileId.replace("attachment-",""),10);!isNaN(index2)&&index2>=0&&index2<attachments().length&&$$props.onAttachmentRemove?.(index2)}else $$props.onUploadedFileRemove?.(fileId)}function handleInput(){const perChatOverrides=conversationsStore.getAllMcpServerOverrides(),hasServers=mcpStore.hasEnabledServers(perChatOverrides);value().
+startsWith(PROMPT_TRIGGER_PREFIX)&&hasServers?(set$1(isPromptPickerOpen,!0),set$1(promptSearchQuery,value().slice(1),!0),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,"")):value().startsWith(RESOURCE_TRIGGER_PREFIX)&&hasServers&&mcpStore.hasResourcesCapability(perChatOverrides)?(set$1(isInlineResourcePickerOpen,!0),set$1(resourceSearchQuery,value().slice(1),!0),set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"")):(set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,""),set$1(
+isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""))}function handleKeydown(event2){if(!(get$4(isPromptPickerOpen)&&get$4(promptPickerRef)?.handleKeydown(event2))&&!(get$4(isInlineResourcePickerOpen)&&get$4(resourcePickerRef)?.handleKeydown(event2))){if(event2.key===KeyboardKey.ESCAPE&&get$4(isPromptPickerOpen)){set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"");return}if(event2.key===KeyboardKey.ESCAPE&&get$4(isInlineResourcePickerOpen)){set$1(isInlineResourcePickerOpen,!1),set$1(
+resourceSearchQuery,"");return}if(event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)){const isModifier=event2.ctrlKey||event2.metaKey;if(get$4(currentConfig).sendOnEnter!==!1||isModifier){if(event2.preventDefault(),!get$4(canSubmit)||disabled()||isLoading2()||get$4(hasLoadingAttachments))return;$$props.onSubmit?.()}}}}function handlePaste(event2){if(!event2.clipboardData)return;const files=Array.from(event2.clipboardData.items).filter(item=>item.kind==="file").map(item=>item.
+getAsFile()).filter(file=>file!==null);if(files.length>0){event2.preventDefault(),$$props.onFilesAdd?.(files);return}const text2=event2.clipboardData.getData(MimeTypeText.PLAIN);if(text2.startsWith(CLIPBOARD_CONTENT_QUOTE_PREFIX)){const parsed=parseClipboardContent(text2);if(parsed.textAttachments.length>0||parsed.mcpPromptAttachments.length>0){if(event2.preventDefault(),value(parsed.message),$$props.onValueChange?.(parsed.message),parsed.textAttachments.length>0){const attachmentFiles=parsed.textAttachments.
+map(att=>new File([att.content],att.name,{type:MimeTypeText.PLAIN}));$$props.onFilesAdd?.(attachmentFiles)}if(parsed.mcpPromptAttachments.length>0){const mcpPromptFiles=parsed.mcpPromptAttachments.map(att=>({id:uuid$1(),name:att.name,size:att.content.length,type:SpecialFileType.MCP_PROMPT,file:new File([att.content],`${att.name}${FileExtensionText.TXT}`,{type:MimeTypeText.PLAIN}),isLoading:!1,textContent:att.content,mcpPrompt:{serverName:att.serverName,promptName:att.promptName,arguments:att.arguments}}));
+uploadedFiles([...uploadedFiles(),...mcpPromptFiles]),$$props.onUploadedFilesChange?.(uploadedFiles())}setTimeout(()=>{get$4(textareaRef)?.focus()},10);return}}if(text2.length>0&&get$4(pasteLongTextToFileLength)>0&&text2.length>get$4(pasteLongTextToFileLength)){event2.preventDefault();const textFile=new File([text2],"Pasted",{type:MimeTypeText.PLAIN});$$props.onFilesAdd?.([textFile])}}function handlePromptLoadStart(placeholderId,promptInfo,args){value().startsWith(PROMPT_TRIGGER_PREFIX)&&(value(
+""),$$props.onValueChange?.("")),set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"");const promptName=promptInfo.title||promptInfo.name,placeholder2={id:placeholderId,name:promptName,size:INITIAL_FILE_SIZE,type:SpecialFileType.MCP_PROMPT,file:new File([],"loading"),isLoading:!0,mcpPrompt:{serverName:promptInfo.serverName,promptName:promptInfo.name,arguments:args?{...args}:void 0}};uploadedFiles([...uploadedFiles(),placeholder2]),$$props.onUploadedFilesChange?.(uploadedFiles()),get$4(textareaRef)?.
+focus()}function handlePromptLoadComplete(placeholderId,result){const promptText=result.messages?.map(msg=>typeof msg.content=="string"?msg.content:msg.content.type===ContentPartType.TEXT?msg.content.text:"").filter(Boolean).join(PROMPT_CONTENT_SEPARATOR);uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,textContent:promptText,size:promptText.length,file:new File([promptText],`${f.name}${FileExtensionText.TXT}`,{type:MimeTypeText.PLAIN})}:f)),$$props.onUploadedFilesChange?.(
+uploadedFiles())}function handlePromptLoadError(placeholderId,error2){uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,loadError:error2}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptPickerClose(){set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,""),get$4(textareaRef)?.focus()}function handleInlineResourcePickerClose(){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$4(textareaRef)?.focus()}function handleInlineResourceSelect(){
+value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$4(textareaRef)?.focus()}function handleBrowseResources(){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isResourceDialogOpen,!0)}async function handleMicClick(){if(!audioRecorder||!get$4(recordingSupported)){console.warn("Audio recor\
+ding not supported");return}if(get$4(isRecording))try{const audioBlob=await audioRecorder.stopRecording(),wavBlob=await convertToWav(audioBlob),audioFile=createAudioFile(wavBlob);$$props.onFilesAdd?.([audioFile]),set$1(isRecording,!1)}catch(error2){console.error("Failed to stop recording:",error2),set$1(isRecording,!1)}else try{await audioRecorder.startRecording(),set$1(isRecording,!0)}catch(error2){console.error("Failed to start recording:",error2)}}var $$exports={focus:focus2,resetTextareaHeight,
+openModelSelector,checkModelSelected},fragment=root$1d(),node2=first_child(fragment);bind_this(ChatFormFileInputInvisible(node2,{onFileSelect:handleFileSelect}),$$value=>set$1(fileInputRef,$$value,!0),()=>get$4(fileInputRef));var form=sibling(node2,2),node_1=child(form);bind_this(ChatFormPromptPicker(node_1,{get isOpen(){return get$4(isPromptPickerOpen)},get searchQuery(){return get$4(promptSearchQuery)},onClose:handlePromptPickerClose,onPromptLoadStart:handlePromptLoadStart,onPromptLoadComplete:handlePromptLoadComplete,
+onPromptLoadError:handlePromptLoadError}),$$value=>set$1(promptPickerRef,$$value,!0),()=>get$4(promptPickerRef));var node_2=sibling(node_1,2);bind_this(ChatFormResourcePicker(node_2,{get isOpen(){return get$4(isInlineResourcePickerOpen)},get searchQuery(){return get$4(resourceSearchQuery)},onClose:handleInlineResourcePickerClose,onResourceSelect:handleInlineResourceSelect,onBrowse:handleBrowseResources}),$$value=>set$1(resourcePickerRef,$$value,!0),()=>get$4(resourcePickerRef));var div=sibling(node_2,
+2),node_3=child(div);{let $0=user_derived(()=>get$4(activeModelId)??void 0);ChatAttachmentsList(node_3,{get attachments(){return attachments()},onFileRemove:handleFileRemove,limitToSingleRow:!0,class:"py-5",style:"scroll-padding: 1rem;",get activeModelId(){return get$4($0)},get uploadedFiles(){return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}})}var div_1=sibling(node_3,2),node_4=child(div_1);bind_this(ChatFormTextarea(node_4,{class:"px-5 py-1.5 md:pt-0",onKeydown:handleKeydown,
+onInput:()=>{handleInput(),$$props.onValueChange?.(value())},get disabled(){return disabled()},get placeholder(){return placeholder()},get value(){return value()},set value($$value){value($$value)}}),$$value=>set$1(textareaRef,$$value,!0),()=>get$4(textareaRef));var node_5=sibling(node_4,2);{var consequent=$$anchor2=>{ChatAttachmentMcpResources($$anchor2,{class:"mb-3",onResourceClick:uri2=>{set$1(preSelectedResourceUri,uri2,!0),set$1(isResourceDialogOpen,!0)}})};if_block(node_5,$$render=>{mcpHasResourceAttachments()&&
+$$render(consequent)})}var node_6=sibling(node_5,2);{let $0=user_derived(()=>value().trim().length>0),$1=user_derived(()=>showMcpPromptButton()?()=>set$1(isPromptPickerOpen,!0):void 0);bind_this(ChatFormActions(node_6,{class:"px-3",get canSend(){return get$4(canSubmit)},get hasText(){return get$4($0)},get disabled(){return disabled()},get isLoading(){return isLoading2()},get isRecording(){return get$4(isRecording)},get uploadedFiles(){return uploadedFiles()},onFileUpload:handleFileUpload,onMicClick:handleMicClick,
+get onStop(){return $$props.onStop},onSystemPromptClick:()=>$$props.onSystemPromptClick?.({message:value(),files:uploadedFiles()}),get onMcpPromptClick(){return get$4($1)},onMcpResourcesClick:()=>set$1(isResourceDialogOpen,!0)}),$$value=>set$1(chatFormActionsRef,$$value,!0),()=>get$4(chatFormActionsRef))}reset(div_1),reset(div),reset(form);var node_7=sibling(form,2);return DialogMcpResources(node_7,{get preSelectedUri(){return get$4(preSelectedResourceUri)},onAttach:resource=>{mcpStore.attachResource(
+resource.uri)},onOpenChange:newOpen=>{newOpen||set$1(preSelectedResourceUri,void 0)},get open(){return get$4(isResourceDialogOpen)},set open($$value){set$1(isResourceDialogOpen,$$value,!0)}}),template_effect(()=>{set_class(form,1,`relative ${className()??""}`),set_class(div,1,`${INPUT_CLASSES??""} overflow-hidden rounded-3xl backdrop-blur-md ${disabled()?"cursor-not-allowed opacity-60":""}`)}),event("submit",form,e=>{e.preventDefault(),!(!get$4(canSubmit)||disabled()||isLoading2()||get$4(hasLoadingAttachments))&&
+$$props.onSubmit?.()}),event("paste",div_1,handlePaste),append($$anchor,fragment),pop($$exports)}function Dropdown_menu_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","sideOffset","portalProps","class"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,DropdownMenuPrimitive_Portal)=>{DropdownMenuPrimitive_Portal(
+$$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-r\
+ight-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20",$$props.class));component(node_1,()=>Dropdown_menu_content$1,($$anchor4,DropdownMenuPrimitive_Content)=>{DropdownMenuPrimitive_Content($$anchor4,spread_props({"data-slot":"dropdown-menu-content",get sideOffset(){
+return sideOffset()},get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dropdown_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","variant"]);var fragment=comment$2(),node2=first_child(
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+:data-[state=checked]:bg-primary-foreground dark:data-[state=unchecked]:bg-foreground"));component(node_1,()=>Switch_thumb,($$anchor4,SwitchPrimitive_Thumb)=>{SwitchPrimitive_Thumb($$anchor4,{"data-slot":"switch-thumb",get class(){return get$4($02)}})})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_5$r=from_html('<span class="sr-only"></span> <!>',1),root_6$r=from_html("<p></p>"),root_3$D=from_html("<!> <!>",1),root_9$j=from_html("<!> <span>Imag\
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+$$slots:{default:!0}})});var node_38=sibling(node_33,2);component(node_38,()=>Dropdown_menu_separator,($$anchor6,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor6,{})});var node_39=sibling(node_38,2);component(node_39,()=>Sub,($$anchor6,DropdownMenu_Sub)=>{DropdownMenu_Sub($$anchor6,{onOpenChange:handleMcpSubMenuOpen,children:($$anchor7,$$slotProps3)=>{var fragment_28=root_34(),node_40=first_child(fragment_28);component(node_40,()=>Dropdown_menu_sub_trigger,($$anchor8,DropdownMenu_SubTrigger)=>{
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+var fragment_31=comment$2(),node_43=first_child(fragment_31);component(node_43,()=>Dropdown_menu_item,($$anchor11,DropdownMenu_Item_8)=>{DropdownMenu_Item_8($$anchor11,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpSettingsClick,children:($$anchor12,$$slotProps5)=>{var fragment_32=root_38(),node_44=first_child(fragment_32);Settings$1(node_44,{class:"h-4 w-4"}),next$1(2),append($$anchor12,fragment_32)},$$slots:{default:!0}})}),append($$anchor10,fragment_31)};let $0=user_derived(
+()=>get$4(hasMcpServers)?"No servers found":"No MCP servers configured"),$1=user_derived(()=>get$4(filteredMcpServers).length===0);DropdownMenuSearchable($$anchor9,{placeholder:"Search servers...",get emptyMessage(){return get$4($0)},get isEmpty(){return get$4($1)},get searchValue(){return get$4(mcpSearchQuery)},set searchValue($$value){set$1(mcpSearchQuery,$$value,!0)},footer:footer2,children:($$anchor10,$$slotProps5)=>{var div_1=root_39();each(div_1,21,()=>get$4(filteredMcpServers),server=>server.
+id,($$anchor11,server)=>{const healthState=user_derived(()=>mcpStore.getHealthCheckState(get$4(server).id)),hasError=user_derived(()=>get$4(healthState).status===HealthCheckStatus.ERROR),isEnabledForChat=user_derived(()=>isServerEnabledForChat(get$4(server).id));var button=root_40();button.__click=()=>!get$4(hasError)&&toggleServerForChat(get$4(server).id);var div_2=child(button),node_45=child(div_2);{var consequent_3=$$anchor12=>{var img=root_41();template_effect($02=>set_attribute(img,"src",$02),
+[()=>mcpStore.getServerFavicon(get$4(server).id)]),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor12,img)};if_block(node_45,$$render=>{mcpStore.getServerFavicon(get$4(server).id)&&$$render(consequent_3)})}var span_1=sibling(node_45,2),text_1=child(span_1,!0);reset(span_1);var node_46=sibling(span_1,2);{var consequent_4=$$anchor12=>{var span_2=root_42();append($$anchor12,span_2)};if_block(node_46,$$render=>{get$4(hasError)&&$$render(consequent_4)})}
+reset(div_2);var node_47=sibling(div_2,2);Switch(node_47,{get checked(){return get$4(isEnabledForChat)},get disabled(){return get$4(hasError)},onclick:e=>e.stopPropagation(),onCheckedChange:()=>toggleServerForChat(get$4(server).id)}),reset(button),template_effect($02=>{button.disabled=get$4(hasError),set_text(text_1,$02)},[()=>getServerLabel(get$4(server))]),append($$anchor11,button)}),reset(div_1),append($$anchor10,div_1)},$$slots:{footer:!0,default:!0}})}},$$slots:{default:!0}})}),append($$anchor7,
+fragment_28)},$$slots:{default:!0}})});var node_48=sibling(node_39,2);{var consequent_5=$$anchor6=>{var fragment_33=comment$2(),node_49=first_child(fragment_33);component(node_49,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item_9)=>{DropdownMenu_Item_9($$anchor7,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpPromptClick,children:($$anchor8,$$slotProps3)=>{var fragment_34=root_44(),node_50=first_child(fragment_34);Zap(node_50,{class:"h-4 w-4"}),next$1(2),append($$anchor8,fragment_34)},
+$$slots:{default:!0}})}),append($$anchor6,fragment_33)};if_block(node_48,$$render=>{hasMcpPromptsSupport()&&$$render(consequent_5)})}var node_51=sibling(node_48,2);{var consequent_6=$$anchor6=>{var fragment_35=comment$2(),node_52=first_child(fragment_35);component(node_52,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item_10)=>{DropdownMenu_Item_10($$anchor7,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpResourcesClick,children:($$anchor8,$$slotProps3)=>{var fragment_36=root_46(),
+node_53=first_child(fragment_36);Folder_open(node_53,{class:"h-4 w-4"}),next$1(2),append($$anchor8,fragment_36)},$$slots:{default:!0}})}),append($$anchor6,fragment_35)};if_block(node_51,$$render=>{hasMcpResourcesSupport()&&$$render(consequent_6)})}append($$anchor5,fragment_5)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div),pop()}delegate(["click"]);function Sheet_overlay($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,SheetPrimitive_Overlay)=>{SheetPrimitive_Overlay($$anchor2,spread_props(
+{"data-slot":"sheet-overlay",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const sheetVariants=tv({base:`border-border/30 dark:border-border/20 data-[state=open]:animate-in data-[state=closed]:animate-out fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 ${PANEL_CLASSES}`,variants:{side:{top:"data-[state=closed]:slide-out-to-t\
+op data-[state=open]:slide-in-from-top inset-x-0 top-0 h-auto border-b",bottom:"data-[state=closed]:slide-out-to-bottom data-[state=open]:slide-in-from-bottom inset-x-0 bottom-0 h-auto border-t",left:"data-[state=closed]:slide-out-to-left data-[state=open]:slide-in-from-left inset-y-0 left-0 h-full w-3/4 border-r sm:max-w-sm",right:"data-[state=closed]:slide-out-to-right data-[state=open]:slide-in-from-right inset-y-0 right-0 h-full w-3/4 border-l sm:max-w-sm"}},defaultVariants:{side:"right"}});
+var root_3$C=from_html('<!> <span class="sr-only">Close</span>',1),root_2$N=from_html("<!> <!>",1),root_1$N=from_html("<!> <!>",1);function Sheet_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"right"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","side","portalProps","children"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SheetPrimitive_Portal)=>{SheetPrimitive_Portal(
+$$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$N(),node_1=first_child(fragment_1);Sheet_overlay(node_1,{});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1(sheetVariants({side:side()}),$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,SheetPrimitive_Content)=>{SheetPrimitive_Content($$anchor4,spread_props({"data-slot":"sheet-content",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){
+ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$N(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3);var node_4=sibling(node_3,2);component(node_4,()=>Dialog_close,($$anchor6,SheetPrimitive_Close)=>{SheetPrimitive_Close($$anchor6,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:outline-hidden dis\
+abled:pointer-events-none",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$C(),node_5=first_child(fragment_3);X(node_5,{class:"size-4"}),next$1(2),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root$1b=from_html("<div><!></div>");function Sheet_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1b();attribute_effect(div,$0=>({"data-slot":"sheet-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-1.5 p-4",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Sheet_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$s\
+lots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("font-semibold text-foreground",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,SheetPrimitive_Title)=>{SheetPrimitive_Title($$anchor2,spread_props({"data-slot":"sheet-title",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Sheet_description($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,SheetPrimitive_Description)=>{SheetPrimitive_Description($$anchor2,spread_props({"data-slot":"sheet-description",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},
+set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$1=Dialog;var root_2$M=from_html('<span class="sr-only"></span> <!>',1),root_4$m=from_html("<!> <!>",1),root_7$m=from_html('<span class="ml-auto text-xs text-muted-foreground">Requires vision model</span>'),root_8$i=from_html('<span class="ml-auto text-xs text-muted-foreground">Requires audio model</span>'),root_9$i=from_html('<span class="ml-auto text-xs text-muted-foreground">Text-only</span>'),root_10$e=from_html('\
+<button type="button"><!> <span>MCP Prompt</span></button>'),root_11$9=from_html('<button type="button"><!> <span>MCP Resources</span></button>'),root_3$B=from_html('<!> <div class="flex flex-col gap-1 overflow-y-auto px-1.5 pb-2"><button type="button"><!> <span>Images</span> <!></button> <button type="button"><!> <span>Audio Files</span> <!></button> <button type="button"><!> <span>Text Files</span></button> <button type="button"><!> <span>PDF Files</span> <!></button> <button type="button"><!>\
+ <span>System Message</span></button> <button type="button"><!> <span>MCP Servers</span></button> <!> <!></div>',1),root_1$M=from_html("<!> <!>",1),root$1a=from_html("<div><!></div>");function ChatFormActionAttachmentsSheet($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPrompt\
+sSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),sheetOpen=state$1(!1);function handleMcpPromptClick(){set$1(sheetOpen,!1),$$props.onMcpPromptClick?.()}function handleMcpSettingsClick(){$$props.onMcpSettingsClick?.()}function handleMcpResourcesClick(){set$1(sheetOpen,!1),$$props.onMcpResourcesClick?.()}function handleSheetFileUpload(){set$1(sheetOpen,!1),$$props.onFileUpload?.()}function handleSheetSystemPromptClick(){set$1(sheetOpen,!1),$$props.onSystemPromptClick?.()}
+const sheetItemClass="flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:cursor-not-allowed disabled:opacity-50";var div=root$1a(),node2=child(div);component(node2,()=>Root$1,($$anchor2,Sheet_Root)=>{Sheet_Root($$anchor2,{get open(){return get$4(sheetOpen)},set open($$value){set$1(sheetOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$M(),node_1=first_child(fragment);Button(node_1,{class:"file\
+-upload-button h-8 w-8 rounded-full p-0",get disabled(){return disabled()},variant:"secondary",type:"button",onclick:()=>set$1(sheetOpen,!0),children:($$anchor4,$$slotProps2)=>{var fragment_1=root_2$M(),span=first_child(fragment_1);span.textContent="Add files, system prompt or MCP Servers";var node_2=sibling(span,2);Plus(node_2,{class:"h-4 w-4"}),append($$anchor4,fragment_1)},$$slots:{default:!0}});var node_3=sibling(node_1,2);component(node_3,()=>Sheet_content,($$anchor4,Sheet_Content)=>{Sheet_Content(
+$$anchor4,{side:"bottom",class:"max-h-[85vh] gap-0",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_3$B(),node_4=first_child(fragment_2);component(node_4,()=>Sheet_header,($$anchor6,Sheet_Header)=>{Sheet_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_4$m(),node_5=first_child(fragment_3);component(node_5,()=>Sheet_title,($$anchor8,Sheet_Title)=>{Sheet_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Add to chat");append($$anchor9,text2)},
+$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Sheet_description,($$anchor8,Sheet_Description)=>{Sheet_Description($$anchor8,{class:"sr-only",children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Add files, system prompt or configure MCP servers");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div_1=sibling(node_4,2),button=child(div_1);set_class(button,1,clsx(sheetItemClass)),button.__click=handleSheetFileUpload;
+var node_7=child(button);component(node_7,()=>FILE_TYPE_ICONS.image,($$anchor6,FILE_TYPE_ICONS_image)=>{FILE_TYPE_ICONS_image($$anchor6,{class:"h-4 w-4 shrink-0"})});var node_8=sibling(node_7,4);{var consequent=$$anchor6=>{var span_1=root_7$m();append($$anchor6,span_1)};if_block(node_8,$$render=>{hasVisionModality()||$$render(consequent)})}reset(button);var button_1=sibling(button,2);set_class(button_1,1,clsx(sheetItemClass)),button_1.__click=handleSheetFileUpload;var node_9=child(button_1);component(
+node_9,()=>FILE_TYPE_ICONS.audio,($$anchor6,FILE_TYPE_ICONS_audio)=>{FILE_TYPE_ICONS_audio($$anchor6,{class:"h-4 w-4 shrink-0"})});var node_10=sibling(node_9,4);{var consequent_1=$$anchor6=>{var span_2=root_8$i();append($$anchor6,span_2)};if_block(node_10,$$render=>{hasAudioModality()||$$render(consequent_1)})}reset(button_1);var button_2=sibling(button_1,2);set_class(button_2,1,clsx(sheetItemClass)),button_2.__click=handleSheetFileUpload;var node_11=child(button_2);component(node_11,()=>FILE_TYPE_ICONS.
+text,($$anchor6,FILE_TYPE_ICONS_text)=>{FILE_TYPE_ICONS_text($$anchor6,{class:"h-4 w-4 shrink-0"})}),next$1(2),reset(button_2);var button_3=sibling(button_2,2);set_class(button_3,1,clsx(sheetItemClass)),button_3.__click=handleSheetFileUpload;var node_12=child(button_3);component(node_12,()=>FILE_TYPE_ICONS.pdf,($$anchor6,FILE_TYPE_ICONS_pdf)=>{FILE_TYPE_ICONS_pdf($$anchor6,{class:"h-4 w-4 shrink-0"})});var node_13=sibling(node_12,4);{var consequent_2=$$anchor6=>{var span_3=root_9$i();append($$anchor6,
+span_3)};if_block(node_13,$$render=>{hasVisionModality()||$$render(consequent_2)})}reset(button_3);var button_4=sibling(button_3,2);set_class(button_4,1,clsx(sheetItemClass)),button_4.__click=handleSheetSystemPromptClick;var node_14=child(button_4);Message_square(node_14,{class:"h-4 w-4 shrink-0"}),next$1(2),reset(button_4);var button_5=sibling(button_4,2);set_class(button_5,1,clsx(sheetItemClass)),button_5.__click=handleMcpSettingsClick;var node_15=child(button_5);McpLogo(node_15,{class:"h-4 w-\
+4 shrink-0"}),next$1(2),reset(button_5);var node_16=sibling(button_5,2);{var consequent_3=$$anchor6=>{var button_6=root_10$e();set_class(button_6,1,clsx(sheetItemClass)),button_6.__click=handleMcpPromptClick;var node_17=child(button_6);Zap(node_17,{class:"h-4 w-4 shrink-0"}),next$1(2),reset(button_6),append($$anchor6,button_6)};if_block(node_16,$$render=>{hasMcpPromptsSupport()&&$$render(consequent_3)})}var node_18=sibling(node_16,2);{var consequent_4=$$anchor6=>{var button_7=root_11$9();set_class(
+button_7,1,clsx(sheetItemClass)),button_7.__click=handleMcpResourcesClick;var node_19=child(button_7);Folder_open(node_19,{class:"h-4 w-4 shrink-0"}),next$1(2),reset(button_7),append($$anchor6,button_7)};if_block(node_18,$$render=>{hasMcpResourcesSupport()&&$$render(consequent_4)})}reset(div_1),template_effect(()=>{button.disabled=!hasVisionModality(),button_1.disabled=!hasAudioModality()}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})}),
+reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div),pop()}delegate(["click"]);var root_3$A=from_html('<span class="sr-only"> </span> <!>',1),root_7$l=from_html("<p>Current model does not support audio</p>"),root_1$L=from_html("<!> <!>",1),root$19=from_html("<div><!></div>");function ChatFormActionRecord($$anchor,$$props){let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"has\
+AudioModality",3,!1),isLoading2=prop($$props,"isLoading",3,!1),isRecording=prop($$props,"isRecording",3,!1);var div=root$19(),node2=child(div);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment=root_1$L(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{{let $0=user_derived(()=>isRecording()?"animate-pulse bg-red-\
+500 text-white hover:bg-red-600":""),$1=user_derived(()=>disabled()||isLoading2()||!hasAudioModality());Button($$anchor5,{get class(){return`h-8 w-8 rounded-full p-0 ${get$4($0)??""}`},get disabled(){return get$4($1)},get onclick(){return $$props.onMicClick},type:"button",children:($$anchor6,$$slotProps3)=>{var fragment_2=root_3$A(),span=first_child(fragment_2),text2=child(span,!0);reset(span);var node_2=sibling(span,2);{var consequent=$$anchor7=>{Square($$anchor7,{class:"h-4 w-4 animate-pulse f\
+ill-white"})},alternate=$$anchor7=>{Mic($$anchor7,{class:"h-4 w-4"})};if_block(node_2,$$render=>{isRecording()?$$render(consequent):$$render(alternate,!1)})}template_effect(()=>set_text(text2,isRecording()?"Stop recording":"Start recording")),append($$anchor6,fragment_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent_1=$$anchor4=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{
+Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_7$l();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_5)};if_block(node_3,$$render=>{hasAudioModality()||$$render(consequent_1)})}append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div)}const MESSAGE_EDIT_KEY=Symbol.for(CONTEXT_KEY_MESSAGE_EDIT);function setMessageEditContext(ctx){return setContext(
+MESSAGE_EDIT_KEY,ctx)}function getMessageEditContext(){return getContext(MESSAGE_EDIT_KEY)}const CHAT_ACTIONS_KEY=Symbol.for(CONTEXT_KEY_CHAT_ACTIONS);function setChatActionsContext(ctx){return setContext(CHAT_ACTIONS_KEY,ctx)}function getChatActionsContext(){return getContext(CHAT_ACTIONS_KEY)}const CHAT_SETTINGS_DIALOG_KEY=Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_DIALOG);function setChatSettingsDialogContext(ctx){return setContext(CHAT_SETTINGS_DIALOG_KEY,ctx)}function getChatSettingsDialogContext(){
+return getContext(CHAT_SETTINGS_DIALOG_KEY)}var root_6$q=from_html('<span class="sr-only">Stop</span> <!>',1),root$18=from_html('<div style="container-type: inline-size"><div class="mr-auto flex items-center gap-2"><!> <!></div> <div class="ml-auto flex items-center gap-1.5"><!></div> <!></div>');function ChatFormActions($$anchor,$$props){push$1($$props,!0);let canSend=prop($$props,"canSend",3,!1),className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,
+"isLoading",3,!1),isRecording=prop($$props,"isRecording",3,!1),hasText=prop($$props,"hasText",3,!1),uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),currentConfig=user_derived(config$1),isRouter=user_derived(isRouterMode),isOffline=user_derived(()=>!!serverError()),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),lastSyncedConversationModel=null;user_effect(()=>{if(get$4(conversationModel)&&get$4(conversationModel)!==lastSyncedConversationModel)lastSyncedConversationModel=
+get$4(conversationModel),modelsStore.selectModelByName(get$4(conversationModel));else if(get$4(isRouter)&&!modelsStore.selectedModelId&&modelsStore.loadedModelIds.length>0){lastSyncedConversationModel=null;const first=modelOptions().find(m=>modelsStore.loadedModelIds.includes(m.model));first&&modelsStore.selectModelById(first.id)}});let activeModelId=user_derived(()=>{const options=modelOptions();if(!get$4(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();
+if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$4(conversationModel)){const model=options.find(m=>m.model===get$4(conversationModel));if(model)return model.model}return null}),modelPropsVersion=state$1(0);user_effect(()=>{get$4(activeModelId)&&(modelsStore.getModelProps(get$4(activeModelId))||modelsStore.fetchModelProps(get$4(activeModelId)).then(()=>{update$1(modelPropsVersion)}))});let hasAudioModality=user_derived(()=>get$4(activeModelId)?(get$4(
+modelPropsVersion),modelsStore.modelSupportsAudio(get$4(activeModelId))):!1),hasVisionModality=user_derived(()=>get$4(activeModelId)?(get$4(modelPropsVersion),modelsStore.modelSupportsVision(get$4(activeModelId))):!1),hasAudioAttachments=user_derived(()=>uploadedFiles().some(file=>getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)),shouldShowRecordButton=user_derived(()=>get$4(hasAudioModality)&&!hasText()&&!get$4(hasAudioAttachments)&&get$4(currentConfig).autoMicOnEmpty),hasModelSelected=user_derived(
+()=>!get$4(isRouter)||!!get$4(conversationModel)||!!selectedModelId()),isSelectedModelInCache=user_derived(()=>{if(!get$4(isRouter))return!0;if(get$4(conversationModel))return modelOptions().some(option2=>option2.model===get$4(conversationModel));const currentModelId=selectedModelId();return currentModelId?modelOptions().some(option2=>option2.id===currentModelId):!1}),submitTooltip=user_derived(()=>get$4(hasModelSelected)?get$4(isSelectedModelInCache)?"":"Selected model is not available, please \
+select another":"Please select a model first"),selectorModelRef=state$1(void 0),isMobile=new IsMobile;function openModelSelector(){get$4(selectorModelRef)?.open()}const chatSettingsDialog=getChatSettingsDialogContext();let hasMcpPromptsSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.hasPromptsCapability(perChatOverrides)}),hasMcpResourcesSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.
+hasResourcesCapability(perChatOverrides)});var $$exports={openModelSelector},div=root$18(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{ChatFormActionAttachmentsSheet($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return get$4(hasAudioModality)},get hasVisionModality(){return get$4(hasVisionModality)},get hasMcpPromptsSupport(){return get$4(hasMcpPromptsSupport)},get hasMcpResourcesSupport(){return get$4(hasMcpResourcesSupport)},get onFileUpload(){return $$props.
+onFileUpload},get onSystemPromptClick(){return $$props.onSystemPromptClick},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},onMcpSettingsClick:()=>chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)})},alternate=$$anchor2=>{ChatFormActionAttachmentsDropdown($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return get$4(hasAudioModality)},get hasVisionModality(){return get$4(hasVisionModality)},get hasMcpPromptsSupport(){
+return get$4(hasMcpPromptsSupport)},get hasMcpResourcesSupport(){return get$4(hasMcpResourcesSupport)},get onFileUpload(){return $$props.onFileUpload},get onSystemPromptClick(){return $$props.onSystemPromptClick},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},onMcpSettingsClick:()=>chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)})};if_block(node2,$$render=>{isMobile.current?$$render(consequent):$$render(alternate,!1)})}var node_1=sibling(
+node2,2);McpServersSelector(node_1,{get disabled(){return disabled()},onSettingsClick:()=>chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}),reset(div_1);var div_2=sibling(div_1,2),node_2=child(div_2);{var consequent_1=$$anchor2=>{{let $0=user_derived(()=>disabled()||get$4(isOffline));bind_this(ModelsSelectorSheet($$anchor2,{get disabled(){return get$4($0)},get currentModel(){return get$4(conversationModel)},forceForegroundText:!0,useGlobalSelection:!0}),$$value=>set$1(selectorModelRef,$$value,
+!0),()=>get$4(selectorModelRef))}},alternate_1=$$anchor2=>{{let $0=user_derived(()=>disabled()||get$4(isOffline));bind_this(ModelsSelector($$anchor2,{get disabled(){return get$4($0)},get currentModel(){return get$4(conversationModel)},forceForegroundText:!0,useGlobalSelection:!0}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$4(selectorModelRef))}};if_block(node_2,$$render=>{isMobile.current?$$render(consequent_1):$$render(alternate_1,!1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{
+Button($$anchor2,{type:"button",variant:"secondary",get onclick(){return $$props.onStop},class:"group h-8 w-8 rounded-full p-0 hover:bg-destructive/10!",children:($$anchor3,$$slotProps)=>{var fragment_5=root_6$q(),node_4=sibling(first_child(fragment_5),2);Square(node_4,{class:"h-8 w-8 fill-muted-foreground stroke-muted-foreground group-hover:fill-destructive group-hover:stroke-destructive hover:fill-destructive hover:stroke-destructive"}),append($$anchor3,fragment_5)},$$slots:{default:!0}})},alternate_3=$$anchor2=>{
+var fragment_6=comment$2(),node_5=first_child(fragment_6);{var consequent_3=$$anchor3=>{ChatFormActionRecord($$anchor3,{get disabled(){return disabled()},get hasAudioModality(){return get$4(hasAudioModality)},get isLoading(){return isLoading2()},get isRecording(){return isRecording()},get onMicClick(){return $$props.onMicClick}})},alternate_2=$$anchor3=>{{let $0=user_derived(()=>canSend()&&get$4(hasModelSelected)&&get$4(isSelectedModelInCache)),$1=user_derived(()=>get$4(hasModelSelected)&&!get$4(
+isSelectedModelInCache));ChatFormActionSubmit($$anchor3,{get canSend(){return get$4($0)},get disabled(){return disabled()},get isLoading(){return isLoading2()},get tooltipLabel(){return get$4(submitTooltip)},get showErrorState(){return get$4($1)}})}};if_block(node_5,$$render=>{get$4(shouldShowRecordButton)?$$render(consequent_3):$$render(alternate_2,!1)},!0)}append($$anchor2,fragment_6)};if_block(node_3,$$render=>{isLoading2()?$$render(consequent_2):$$render(alternate_3,!1)})}return reset(div),template_effect(
+()=>set_class(div,1,`flex w-full items-center gap-3 ${className()??""}`)),append($$anchor,div),pop($$exports)}var root_2$L=from_html('<span class="sr-only">Send</span> <!>',1),root_6$p=from_html("<p> </p>"),root_4$l=from_html("<!> <!>",1);function ChatFormActionSubmit($$anchor,$$props){push$1($$props,!0);const submitButton=($$anchor2,$$arg0)=>{let props=derived_safe_equal(()=>fallback($$arg0?.(),()=>({}),!0));{let $0=user_derived(()=>cn$1("h-8 w-8 rounded-full p-0",showErrorState()?"bg-red-400/1\
+0 text-red-400 hover:bg-red-400/20 hover:text-red-400 disabled:opacity-100":""));Button($$anchor2,spread_props({type:"submit",get disabled(){return get$4(isDisabled)},get class(){return get$4($0)}},()=>get$4(props),{children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$L(),node2=sibling(first_child(fragment_1),2);Arrow_up(node2,{class:"h-12 w-12"}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))}};let canSend=prop($$props,"canSend",3,!1),disabled=prop($$props,"disabled",3,!1),isLoading2=prop(
+$$props,"isLoading",3,!1),showErrorState=prop($$props,"showErrorState",3,!1),isDisabled=user_derived(()=>!canSend()||disabled()||isLoading2());var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor2=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);component(node_2,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$l(),node_3=first_child(fragment_4);component(node_3,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{
+Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{submitButton($$anchor6)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_6$p(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_3)},
+alternate=$$anchor2=>{submitButton($$anchor2)};if_block(node_1,$$render=>{$$props.tooltipLabel?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment_2),pop()}var root$17=from_html('<input type="file"/>');function ChatFormFileInputInvisible($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),multiple=prop($$props,"multiple",3,!0),fileInputElement;function click(){fileInputElement?.click()}function handleFileSelect(event2){const input=event2.target;input.
+files&&$$props.onFileSelect?.(Array.from(input.files))}var $$exports={click},input_1=root$17();return input_1.__change=handleFileSelect,bind_this(input_1,$$value=>fileInputElement=$$value,()=>fileInputElement),template_effect(()=>{input_1.multiple=multiple(),set_class(input_1,1,`hidden ${className()??""}`)}),append($$anchor,input_1),pop($$exports)}delegate(["change"]);var root_2$K=from_html('<p class="text-xs text-muted-foreground">Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs\
+">Enter</kbd> to send, <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Shift + Enter</kbd> for new line</p>'),root_3$z=from_html(`<p class="text-xs text-muted-foreground">Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs"> </kbd> to
+				send, <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Enter</kbd> for new line</p>`),root_1$K=from_html("<div><!></div>");function ChatFormHelperText($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),show=prop($$props,"show",3,!0),sendOnEnter=user_derived(()=>config$1().sendOnEnter!==!1),modKey=/Mac|iPhone|iPad|iPod/.test(navigator.platform)?"Cmd":"Ctrl";var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var div=root_1$K(),
+node_1=child(div);{var consequent=$$anchor3=>{var p2=root_2$K();append($$anchor3,p2)},alternate=$$anchor3=>{var p_1=root_3$z(),kbd=sibling(child(p_1)),text2=child(kbd);reset(kbd),next$1(3),reset(p_1),template_effect(()=>set_text(text2,`${modKey} + Enter`)),append($$anchor3,p_1)};if_block(node_1,$$render=>{get$4(sendOnEnter)?$$render(consequent):$$render(alternate,!1)})}reset(div),template_effect(()=>set_class(div,1,`mt-6 items-center justify-center ${className()??""} hidden md:flex`)),append($$anchor2,
+div)};if_block(node2,$$render=>{show()&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root$16=from_html('<div><textarea style="max-height: var(--max-message-height);"></textarea></div>');function ChatFormTextarea($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),placeholder=prop($$props,"placeholder",3,"Ask anything..."),value=prop($$props,"value",15,""),textareaElement;onMount$1(()=>{textareaElement&&(autoResizeTextarea(
+textareaElement),textareaElement.focus())});function getElement(){return textareaElement}function focus2(){textareaElement?.focus()}function resetHeight(){textareaElement&&(textareaElement.style.height="1rem")}var $$exports={getElement,focus:focus2,resetHeight},div=root$16(),textarea=child(div);remove_textarea_child(textarea);let classes;return textarea.__keydown=function(...$$args){$$props.onKeydown?.apply(this,$$args)},textarea.__input=event2=>{autoResizeTextarea(event2.currentTarget),$$props.
+onInput?.()},bind_this(textarea,$$value=>textareaElement=$$value,()=>textareaElement),reset(div),template_effect(()=>{set_class(div,1,`flex-1 ${className()??""}`),classes=set_class(textarea,1,"text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0",null,classes,{"cursor-not-allowed":disabled()}),textarea.disabled=disabled(),set_attribute(textarea,"placeholder",placeholder())}),event(
+"paste",textarea,function(...$$args){$$props.onPaste?.apply(this,$$args)}),bind_value(textarea,value),append($$anchor,div),pop($$exports)}delegate(["keydown","input"]);const badgeVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex w-fit shrink-0 items-center justify-center gap-1 overflow-hidden whitespace-nowrap rounded-md border px-2 py-0.5 text-xs font-medium t\
+ransition-[color,box-shadow] focus-visible:ring-[3px] [&>svg]:pointer-events-none [&>svg]:size-3",variants:{variant:{default:"bg-primary text-primary-foreground [a&]:hover:bg-primary/90 border-transparent",secondary:"bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90 border-transparent",tertiary:"bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25 border-transparent",destructive:"bg-destructive [a&]:hover:bg-destructive/90 focus-visible:ring-destruct\
+ive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/70 border-transparent text-white",outline:"text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground"}},defaultVariants:{variant:"default"}});function Badge($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","href","class","variant","children"]);var fragment=comment$2(),node2=first_child(
+fragment);element$4(node2,()=>$$props.href?"a":"span",!1,($$element,$$anchor2)=>{bind_this($$element,$$value=>ref2($$value),()=>ref2()),attribute_effect($$element,$0=>({"data-slot":"badge",href:$$props.href,class:$0,...restProps}),[()=>cn$1(badgeVariants({variant:variant()}),$$props.class,"backdrop-blur-sm")]);var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}),append($$anchor,fragment),pop()}var root_2$J=from_html(
+'<div class="p-4"><!> <!></div>');function ChatFormPromptPicker($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),prompts=state$1(proxy([])),isLoading2=state$1(!1),selectedPrompt=state$1(null),promptArgs=state$1(proxy({})),selectedIndex=state$1(0),internalSearchQuery=state$1(""),promptError=state$1(null),selectedIndexBeforeArgumentForm=state$1(null),suggestions=proxy({}),loadingSuggestions=proxy(
+{}),activeAutocomplete=state$1(null),autocompleteIndex=state$1(0),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()?(loadPrompts(),set$1(selectedIndex,0)):(set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null))}),user_effect(()=>{get$4(filteredPrompts).length>0&&get$4(selectedIndex)>=get$4(filteredPrompts).length&&set$1(selectedIndex,0)});async function loadPrompts(){
+set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(prompts,[],!0);return}set$1(prompts,await mcpStore.getAllPrompts(),!0)}catch(error2){console.error("[ChatFormPromptPicker] Failed to load prompts:",error2),set$1(prompts,[],!0)}finally{set$1(isLoading2,!1)}}function handlePromptClick(prompt){const args=prompt.arguments??[];args.length>0?(set$1(selectedIndexBeforeArgumentForm,get$4(selectedIndex),
+!0),set$1(selectedPrompt,prompt,!0),set$1(promptArgs,{},!0),set$1(promptError,null),requestAnimationFrame(()=>{const firstInput=document.querySelector(`#arg-${args[0].name}`);firstInput&&firstInput.focus()})):executePrompt(prompt,{})}async function executePrompt(prompt,args){set$1(promptError,null);const placeholderId=uuid$1(),nonEmptyArgs=Object.fromEntries(Object.entries(args).filter(([,value])=>value.trim()!=="")),argsToPass=Object.keys(nonEmptyArgs).length>0?nonEmptyArgs:void 0;$$props.onPromptLoadStart?.(
+placeholderId,prompt,argsToPass),$$props.onClose?.();try{const result=await mcpStore.getPrompt(prompt.serverName,prompt.name,args);$$props.onPromptLoadComplete?.(placeholderId,result)}catch(error2){const errorMessage=error2 instanceof Error?error2.message:"Unknown error executing prompt";$$props.onPromptLoadError?.(placeholderId,errorMessage)}}function handleArgumentSubmit(event2){event2.preventDefault(),get$4(selectedPrompt)&&executePrompt(get$4(selectedPrompt),get$4(promptArgs))}const fetchCompletions=debounce(
+async(argName,value)=>{if(!get$4(selectedPrompt)||value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getPromptCompletions(get$4(selectedPrompt).serverName,get$4(selectedPrompt).name,argName,value);if(result&&result.values.length>0){const filteredValues=result.values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]=filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else
+suggestions[argName]=[]}catch(error2){console.error("[ChatFormPromptPicker] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){get$4(promptArgs)[argName]=value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){get$4(promptArgs)[argName]=value,suggestions[argName]=[],set$1(activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??
+[];if(event2.key===KeyboardKey.ESCAPE){event2.preventDefault(),event2.stopPropagation(),handleCancelArgumentForm();return}argSuggestions.length===0||get$4(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),set$1(autocompleteIndex,Math.min(get$4(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),set$1(autocompleteIndex,Math.max(get$4(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$4(
+autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$4(autocompleteIndex)])))}function handleArgBlur(argName){setTimeout(()=>{get$4(activeAutocomplete)===argName&&(suggestions[argName]=[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){(suggestions[argName]?.length??0)>0&&set$1(activeAutocomplete,argName,!0)}function handleCancelArgumentForm(){get$4(selectedIndexBeforeArgumentForm)!==null&&(set$1(selectedIndex,get$4(
+selectedIndexBeforeArgumentForm),!0),set$1(selectedIndexBeforeArgumentForm,null)),set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),get$4(selectedPrompt)?handleCancelArgumentForm():$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),get$4(filteredPrompts).length>0&&set$1(selectedIndex,(get$4(selectedIndex)+1)%get$4(filteredPrompts).length),
+!0):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),get$4(filteredPrompts).length>0&&set$1(selectedIndex,get$4(selectedIndex)===0?get$4(filteredPrompts).length-1:get$4(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER&&!get$4(selectedPrompt)?(event2.preventDefault(),get$4(filteredPrompts)[get$4(selectedIndex)]&&handlePromptClick(get$4(filteredPrompts)[get$4(selectedIndex)]),!0):!1:!1}let filteredPrompts=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(
+sortedServers.map((server,index2)=>[server.id,index2])),sortedPrompts=[...get$4(prompts)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$4(internalSearchQuery)).toLowerCase();return query?sortedPrompts.filter(prompt=>prompt.name.toLowerCase().includes(query)||prompt.title?.toLowerCase().includes(query)||prompt.description?.toLowerCase().includes(query)):
+sortedPrompts}),showSearchInput=user_derived(()=>get$4(prompts).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open prompt picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent_1=$$anchor3=>{const prompt=user_derived(()=>get$4(selectedPrompt)),
+server=user_derived(()=>get$4(serverSettingsMap).get(get$4(prompt).serverName)),serverLabel=user_derived(()=>get$4(server)?mcpStore.getServerLabel(get$4(server)):get$4(prompt).serverName);var div=root_2$J(),node_1=child(div);{const titleExtra=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor5=>{Badge($$anchor5,{variant:"secondary",children:($$anchor6,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`${get$4(prompt).arguments.
+length??""} arg${get$4(prompt).arguments.length>1?"s":""}`)),append($$anchor6,text2)},$$slots:{default:!0}})};if_block(node_2,$$render=>{get$4(prompt).arguments?.length&&$$render(consequent)})}append($$anchor4,fragment_2)};let $0=user_derived(()=>get$4(prompt).title||get$4(prompt).name);ChatFormPickerItemHeader(node_1,{get server(){return get$4(server)},get serverLabel(){return get$4(serverLabel)},get title(){return get$4($0)},get description(){return get$4(prompt).description},titleExtra,$$slots:{
+titleExtra:!0}})}var node_3=sibling(node_1,2);ChatFormPromptPickerArgumentForm(node_3,{get prompt(){return get$4(selectedPrompt)},get promptArgs(){return get$4(promptArgs)},get suggestions(){return suggestions},get loadingSuggestions(){return loadingSuggestions},get activeAutocomplete(){return get$4(activeAutocomplete)},get autocompleteIndex(){return get$4(autocompleteIndex)},get promptError(){return get$4(promptError)},onArgInput:handleArgInput,onArgKeydown:handleArgKeydown,onArgBlur:handleArgBlur,
+onArgFocus:handleArgFocus,onSelectSuggestion:selectSuggestion,onSubmit:handleArgumentSubmit,onCancel:handleCancelArgumentForm}),reset(div),append($$anchor3,div)},alternate=$$anchor3=>{ChatFormPickerList($$anchor3,{get items(){return get$4(filteredPrompts)},get isLoading(){return get$4(isLoading2)},get selectedIndex(){return get$4(selectedIndex)},get showSearchInput(){return get$4(showSearchInput)},searchPlaceholder:"Search prompts...",emptyMessage:"No MCP prompts available",itemKey:prompt=>prompt.
+serverName+":"+prompt.name,get searchQuery(){return get$4(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor4,prompt=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$4(serverSettingsMap).get(prompt().serverName)),serverLabel=user_derived(()=>get$4(server)?mcpStore.getServerLabel(get$4(server)):prompt().serverName);ChatFormPickerListItem($$anchor4,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onClick:()=>handlePromptClick(
+prompt()),children:($$anchor5,$$slotProps2)=>{{const titleExtra=$$anchor6=>{var fragment_8=comment$2(),node_4=first_child(fragment_8);{var consequent_2=$$anchor7=>{Badge($$anchor7,{variant:"secondary",children:($$anchor8,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,`${prompt().arguments.length??""} arg${prompt().arguments.length>1?"s":""}`)),append($$anchor8,text_1)},$$slots:{default:!0}})};if_block(node_4,$$render=>{prompt().arguments?.length&&$$render(consequent_2)})}
+append($$anchor6,fragment_8)};let $0=user_derived(()=>prompt().title||prompt().name);ChatFormPickerItemHeader($$anchor5,{get server(){return get$4(server)},get serverLabel(){return get$4(serverLabel)},get title(){return get$4($0)},get description(){return prompt().description},titleExtra,$$slots:{titleExtra:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor4=>{ChatFormPickerListItemSkeleton($$anchor4,{titleWidth:"w-32",showBadge:!0})},$$slots:{item:!0,skeleton:!0}})};if_block(node2,$$render=>{get$4(
+selectedPrompt)?$$render(consequent_1):$$render(alternate,!1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop($$exports)}const linear=x=>x;function cubic_out(t){const f=t-1;return f*f*f+1}function split_css_unit(value){const split=typeof value=="string"&&value.match(/^\s*(-?[\d.]+)([^\s]*)\s*$/);return split?[parseFloat(split[1]),split[2]||"px"]:[value,"px"]}function fade(node2,{delay=0,duration:duration2=400,easing=linear}={}){const o=+getComputedStyle(node2).opacity;return{delay,duration:duration2,
+easing,css:t=>`opacity: ${t*o}`}}function fly(node2,{delay=0,duration:duration2=400,easing=cubic_out,x=0,y=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform==="none"?"":style2.transform,od=target_opacity*(1-opacity),[x_value,x_unit]=split_css_unit(x),[y_value,y_unit]=split_css_unit(y);return{delay,duration:duration2,easing,css:(t,u)=>`
+			transform: ${transform2} translate(${(1-t)*x_value}${x_unit}, ${(1-t)*y_value}${y_unit});
+			opacity: ${target_opacity-od*u}`}}function slide(node2,{delay=0,duration:duration2=400,easing=cubic_out,axis="y"}={}){const style2=getComputedStyle(node2),opacity=+style2.opacity,primary_property=axis==="y"?"height":"width",primary_property_value=parseFloat(style2[primary_property]),secondary_properties=axis==="y"?["top","bottom"]:["left","right"],capitalized_secondary_properties=secondary_properties.map(e=>`${e[0].toUpperCase()}${e.slice(1)}`),padding_start_value=parseFloat(style2[`padding${capitalized_secondary_properties[0]}`]),
+padding_end_value=parseFloat(style2[`padding${capitalized_secondary_properties[1]}`]),margin_start_value=parseFloat(style2[`margin${capitalized_secondary_properties[0]}`]),margin_end_value=parseFloat(style2[`margin${capitalized_secondary_properties[1]}`]),border_width_start_value=parseFloat(style2[`border${capitalized_secondary_properties[0]}Width`]),border_width_end_value=parseFloat(style2[`border${capitalized_secondary_properties[1]}Width`]);return{delay,duration:duration2,easing,css:t=>`overf\
+low: hidden;opacity: ${Math.min(t*20,1)*opacity};${primary_property}: ${t*primary_property_value}px;padding-${secondary_properties[0]}: ${t*padding_start_value}px;padding-${secondary_properties[1]}: ${t*padding_end_value}px;margin-${secondary_properties[0]}: ${t*margin_start_value}px;margin-${secondary_properties[1]}: ${t*margin_end_value}px;border-${secondary_properties[0]}-width: ${t*border_width_start_value}px;border-${secondary_properties[1]}-width: ${t*border_width_end_value}px;min-${primary_property}\
+: 0`}}function scale(node2,{delay=0,duration:duration2=400,easing=cubic_out,start:start2=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform==="none"?"":style2.transform,sd=1-start2,od=target_opacity*(1-opacity);return{delay,duration:duration2,easing,css:(_t,u)=>`
+			transform: ${transform2} scale(${1-sd*u});
+			opacity: ${target_opacity-od*u}
+		`}}var root_1$J=from_html("<input/>"),root_2$I=from_html("<input/>");function Input($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,"value",15),files=prop($$props,"files",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","value","type","files","class"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$J();attribute_effect(input,$0=>({"data-slot":"input",class:$0,type:"file",...restProps}),
+[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-transparent px-3 pt-1.5 text-sm font-medium shadow-xs ring-offset-background transition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20\
+ dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input,$$value=>ref2($$value),()=>ref2()),bind_files(input,files),bind_value(input,value),append($$anchor2,input)},alternate=$$anchor2=>{var input_1=root_2$I();attribute_effect(input_1,$0=>({"data-slot":"input",class:$0,style:"backdrop-filter: blur(0.5rem);",type:$$props.type,...restProps}),[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-background px-3 py-1 text-base shadow-xs ring-off\
+set-background transition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input_1,$$value=>ref2($$value),()=>ref2()),
+bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{$$props.type==="file"?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}function Label($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex items-center gap-2 text-sm leading-none font-medium select-none g\
+roup-data-[disabled=true]:pointer-events-none group-data-[disabled=true]:opacity-50 peer-disabled:cursor-not-allowed peer-disabled:opacity-50",$$props.class));component(node2,()=>Label$1,($$anchor2,LabelPrimitive_Root)=>{LabelPrimitive_Root($$anchor2,spread_props({"data-slot":"label",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_2$H=from_html('<span class="text-destructive">*</span>'),root_3$y=from_html(
+'<span class="text-xs text-muted-foreground/50">...</span>'),root_1$I=from_html("<span> <!></span> <!>",1),root_5$q=from_html('<button type="button"> </button>'),root_4$k=from_html('<div class="absolute top-full right-0 left-0 z-10 mt-1 max-h-32 overflow-y-auto rounded-lg border border-border/50 bg-background shadow-lg"></div>'),root$15=from_html('<div class="relative grid gap-1"><!> <!> <!></div>');function ChatFormPromptPickerArgumentInput($$anchor,$$props){push$1($$props,!0);let value=prop($$props,
+"value",3,""),suggestions=prop($$props,"suggestions",19,()=>[]),isLoadingSuggestions=prop($$props,"isLoadingSuggestions",3,!1),isAutocompleteActive=prop($$props,"isAutocompleteActive",3,!1),autocompleteIndex=prop($$props,"autocompleteIndex",3,0);var div=root$15(),node2=child(div);Label(node2,{get for(){return`arg-${$$props.argument.name??""}`},class:"mb-1 text-muted-foreground",children:($$anchor2,$$slotProps)=>{var fragment=root_1$I(),span=first_child(fragment),text2=child(span),node_1=sibling(
+text2);{var consequent=$$anchor3=>{var span_1=root_2$H();append($$anchor3,span_1)};if_block(node_1,$$render=>{$$props.argument.required&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var span_2=root_3$y();append($$anchor3,span_2)};if_block(node_2,$$render=>{isLoadingSuggestions()&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`${$$props.argument.name??""} `)),append($$anchor2,fragment)},$$slots:{default:!0}});var node_3=sibling(node2,2);
+{let $0=user_derived(()=>$$props.argument.description||$$props.argument.name);Input(node_3,{get id(){return`arg-${$$props.argument.name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return get$4($0)},get required(){return $$props.argument.required},autocomplete:"off"})}var node_4=sibling(node_3,2);{var consequent_2=$$anchor2=>{
+var div_1=root_4$k();each(div_1,22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_5$q();button.__mousedown=()=>$$props.onSelectSuggestion(suggestion);var text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$4(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),append($$anchor3,button)}),reset(div_1),transition(3,div_1,()=>fly,()=>({y:-5,duration:100})),append($$anchor2,
+div_1)};if_block(node_4,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_2)})}reset(div),append($$anchor,div),pop()}delegate(["mousedown"]);var root_2$G=from_html('<div class="flex items-start gap-2 rounded-lg border border-destructive/50 bg-destructive/10 px-3 py-2 text-sm text-destructive" role="alert"><span class="shrink-0">⚠</span> <span> </span></div>'),root$14=from_html('<form class="space-y-3 pt-4"><!> <!> <div class="mt-8 flex justify-end gap-2"><!> <!></d\
+iv></form>');function ChatFormPromptPickerArgumentForm($$anchor,$$props){push$1($$props,!0);var form=root$14(),node2=child(form);each(node2,17,()=>$$props.prompt.arguments??[],arg=>arg.name,($$anchor2,arg)=>{{let $0=user_derived(()=>$$props.promptArgs[get$4(arg).name]??""),$1=user_derived(()=>$$props.suggestions[get$4(arg).name]??[]),$2=user_derived(()=>$$props.loadingSuggestions[get$4(arg).name]??!1),$3=user_derived(()=>$$props.activeAutocomplete===get$4(arg).name),$4=user_derived(()=>$$props.activeAutocomplete===
+get$4(arg).name?$$props.autocompleteIndex:0);ChatFormPromptPickerArgumentInput($$anchor2,{get argument(){return get$4(arg)},get value(){return get$4($0)},get suggestions(){return get$4($1)},get isLoadingSuggestions(){return get$4($2)},get isAutocompleteActive(){return get$4($3)},get autocompleteIndex(){return get$4($4)},onInput:value=>$$props.onArgInput(get$4(arg).name,value),onKeydown:e=>$$props.onArgKeydown(e,get$4(arg).name),onBlur:()=>$$props.onArgBlur(get$4(arg).name),onFocus:()=>$$props.onArgFocus(
+get$4(arg).name),onSelectSuggestion:value=>$$props.onSelectSuggestion(get$4(arg).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div=root_2$G(),span=sibling(child(div),2),text2=child(span,!0);reset(span),reset(div),template_effect(()=>set_text(text2,$$props.promptError)),append($$anchor2,div)};if_block(node_1,$$render=>{$$props.promptError&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(div_1);Button(node_2,{type:"button",size:"sm",get onclick(){return $$props.
+onCancel},variant:"secondary",children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(node_2,2);Button(node_3,{size:"sm",type:"submit",children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Use Prompt");append($$anchor2,text_2)},$$slots:{default:!0}}),reset(div_1),reset(form),event("submit",form,function(...$$args){$$props.onSubmit?.apply(this,$$args)}),append($$anchor,form),pop()}function Popover($$anchor,$$props){
+push$1($$props,!0);let open2=prop($$props,"open",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","open"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover$1,($$anchor2,PopoverPrimitive_Root)=>{PopoverPrimitive_Root($$anchor2,spread_props(()=>restProps,{get open(){return open2()},set open($$value){open2($$value)}}))}),append($$anchor,fragment),pop()}function Popover_portal($$anchor,$$props){let restProps=rest_props($$props,["$$slots","$$events",
+"$$legacy"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,PopoverPrimitive_Portal)=>{PopoverPrimitive_Portal($$anchor2,spread_props(()=>restProps))}),append($$anchor,fragment)}function Popover_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),align=prop($$props,"align",3,"center"),collisionPadding=prop($$props,"collisionPadding",3,8),avoidCollisions=prop($$props,"avoidCollisi\
+ons",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","side","align","collisionPadding","avoidCollisions","portalProps"]);Popover_portal($$anchor,spread_props(()=>$$props.portalProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 w-72 origin-(--bits-popover-content-transform-origin) rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-hidden data-[\
+side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-end-2 data-[side=right]:slide-in-from-start-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node2,()=>Popover_content$1,($$anchor3,PopoverPrimitive_Content)=>{PopoverPrimitive_Content($$anchor3,spread_props({"data-slot":"popover-conten\
+t",get sideOffset(){return sideOffset()},get side(){return $$props.side},get align(){return align()},get collisionPadding(){return collisionPadding()},get avoidCollisions(){return avoidCollisions()},get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Popover_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$s\
+lots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("",$$props.class));component(node2,()=>Popover_trigger$1,($$anchor2,PopoverPrimitive_Trigger)=>{PopoverPrimitive_Trigger($$anchor2,spread_props({"data-slot":"popover-trigger",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_2$F=from_html('<span class="sr-only"> </span>'),root_1$H=from_html(
+"<!> <!>",1);function ChatFormPickerPopover($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",15,!1),srLabel=prop($$props,"srLabel",3,"Open picker");var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover,($$anchor2,Popover_Root)=>{Popover_Root($$anchor2,{onOpenChange:open2=>{open2||$$props.onClose?.()},get open(){return isOpen()},set open($$value){isOpen($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$H(),
+node_1=first_child(fragment_1);component(node_1,()=>Popover_trigger,($$anchor4,Popover_Trigger)=>{Popover_Trigger($$anchor4,{class:"pointer-events-none absolute inset-0 opacity-0",children:($$anchor5,$$slotProps2)=>{var span=root_2$F(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,srLabel())),append($$anchor5,span)},$$slots:{default:!0}})});var node_2=sibling(node_1,2);component(node_2,()=>Popover_content,($$anchor4,Popover_Content)=>{Popover_Content($$anchor4,{side:"top",align:"\
+start",sideOffset:12,get class(){return`w-[var(--bits-popover-anchor-width)] max-w-none rounded-xl border-border/50 p-0 shadow-xl ${className()??""}`},get onkeydown(){return $$props.onKeydown},onOpenAutoFocus:e=>e.preventDefault(),children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}
+var root_1$G=from_html("<!> <!>",1);function Scroll_area_scrollbar($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop($$props,"orientation",3,"vertical"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","orientation","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex touch-none p-px transition-colors select-none",orientation()==="vertical"&&"h-full w-2.5 border-l border-l-transpa\
+rent",orientation()==="horizontal"&&"h-2.5 flex-col border-t border-t-transparent",$$props.class));component(node2,()=>Scroll_area_scrollbar$1,($$anchor2,ScrollAreaPrimitive_Scrollbar)=>{ScrollAreaPrimitive_Scrollbar($$anchor2,spread_props({"data-slot":"scroll-area-scrollbar",get orientation(){return orientation()},get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$G(),node_1=first_child(
+fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);component(node_2,()=>Scroll_area_thumb,($$anchor4,ScrollAreaPrimitive_Thumb)=>{ScrollAreaPrimitive_Thumb($$anchor4,{"data-slot":"scroll-area-thumb",class:"relative flex-1 rounded-full bg-border"})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$F=from_html("<!> <!> <!> <!>",1);function Scroll_area($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"re\
+f",15,null),orientation=prop($$props,"orientation",3,"vertical"),scrollbarXClasses=prop($$props,"scrollbarXClasses",3,""),scrollbarYClasses=prop($$props,"scrollbarYClasses",3,""),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","orientation","scrollbarXClasses","scrollbarYClasses","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative",$$props.class));component(node2,()=>Scroll_area$1,($$anchor2,ScrollAreaPrimitive_Root)=>{
+ScrollAreaPrimitive_Root($$anchor2,spread_props({"data-slot":"scroll-area",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$F(),node_1=first_child(fragment_1);component(node_1,()=>Scroll_area_viewport,($$anchor4,ScrollAreaPrimitive_Viewport)=>{ScrollAreaPrimitive_Viewport($$anchor4,{"data-slot":"scroll-area-viewport",class:"size-full rounded-[inherit] ring-ring/10 outline-ring/50 transi\
+tion-[color,box-shadow] focus-visible:ring-4 focus-visible:outline-1 dark:ring-ring/20 dark:outline-ring/40",children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.children??noop$3),append($$anchor5,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"vertical",get class(){return scrollbarYClasses()}})};if_block(node_3,$$render=>{(orientation()===
+"vertical"||orientation()==="both")&&$$render(consequent)})}var node_4=sibling(node_3,2);{var consequent_1=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"horizontal",get class(){return scrollbarXClasses()}})};if_block(node_4,$$render=>{(orientation()==="horizontal"||orientation()==="both")&&$$render(consequent_1)})}var node_5=sibling(node_4,2);component(node_5,()=>Scroll_area_corner,($$anchor4,ScrollAreaPrimitive_Corner)=>{ScrollAreaPrimitive_Corner($$anchor4,{})}),append($$anchor3,fragment_1)},
+$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_2$E=from_html('<div class="absolute top-0 right-0 left-0 z-10 p-2 pb-0"><!></div>'),root_6$o=from_html('<div class="py-6 text-center text-sm text-muted-foreground"> </div>'),root_1$E=from_html("<!> <div><!></div> <!>",1);function ChatFormPickerList($$anchor,$$props){push$1($$props,!0);let searchQuery=prop($$props,"searchQuery",15),searchPlaceholder=prop($$props,"searchPlaceholder",3,"Search..."),emptyMessage=prop($$props,"emptyMe\
+ssage",3,"No items available"),listContainer=state$1(null);user_effect(()=>{if(get$4(listContainer)&&$$props.selectedIndex>=0&&$$props.selectedIndex<$$props.items.length){const selectedElement=get$4(listContainer).querySelector(`[data-picker-index="${$$props.selectedIndex}"]`);selectedElement&&selectedElement.scrollIntoView({behavior:"smooth",block:"center",inline:"nearest"})}}),Scroll_area($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$E(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{
+var div=root_2$E(),node_1=child(div);SearchInput(node_1,{get placeholder(){return searchPlaceholder()},get value(){return searchQuery()},set value($$value){searchQuery($$value)}}),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.showSearchInput&&$$render(consequent)})}var div_1=sibling(node2,2);let classes;var node_2=child(div_1);{var consequent_2=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent_1=$$anchor4=>{var fragment_3=comment$2(),node_4=first_child(
+fragment_3);snippet(node_4,()=>$$props.skeleton),append($$anchor4,fragment_3)};if_block(node_3,$$render=>{$$props.skeleton&&$$render(consequent_1)})}append($$anchor3,fragment_2)},alternate_1=$$anchor3=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent_3=$$anchor4=>{var div_2=root_6$o(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor4,div_2)},alternate=$$anchor4=>{var fragment_5=comment$2(),node_6=first_child(fragment_5);
+each(node_6,19,()=>$$props.items,(itemData,index2)=>$$props.itemKey(itemData,index2),($$anchor5,itemData,index2)=>{var fragment_6=comment$2(),node_7=first_child(fragment_6);snippet(node_7,()=>$$props.item,()=>get$4(itemData),()=>get$4(index2),()=>get$4(index2)===$$props.selectedIndex),append($$anchor5,fragment_6)}),append($$anchor4,fragment_5)};if_block(node_5,$$render=>{$$props.items.length===0?$$render(consequent_3):$$render(alternate,!1)},!0)}append($$anchor3,fragment_4)};if_block(node_2,$$render=>{
+$$props.isLoading?$$render(consequent_2):$$render(alternate_1,!1)})}reset(div_1),bind_this(div_1,$$value=>set$1(listContainer,$$value),()=>get$4(listContainer));var node_8=sibling(div_1,2);{var consequent_4=$$anchor3=>{var fragment_7=comment$2(),node_9=first_child(fragment_7);snippet(node_9,()=>$$props.footer),append($$anchor3,fragment_7)};if_block(node_8,$$render=>{$$props.footer&&$$render(consequent_4)})}template_effect(()=>classes=set_class(div_1,1,`${CHAT_FORM_POPOVER_MAX_HEIGHT} p-2`,null,classes,
+{"pt-13":$$props.showSearchInput})),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root$13=from_html('<button type="button"><!></button>');function ChatFormPickerListItem($$anchor,$$props){let isSelected=prop($$props,"isSelected",3,!1);var button=root$13();button.__click=function(...$$args){$$props.onClick?.apply(this,$$args)};var node2=child(button);snippet(node2,()=>$$props.children),reset(button),template_effect(()=>{set_attribute(button,"data-picker-index",$$props.dataIndex),
+set_class(button,1,`flex w-full cursor-pointer items-start gap-3 rounded-lg px-3 py-2 text-left hover:bg-accent/50 ${isSelected()?"bg-accent/50":""}`)}),append($$anchor,button)}delegate(["click"]);var root_1$D=from_html('<img alt="" class="h-3 w-3 shrink-0 rounded-sm"/>'),root_3$x=from_html('<p class="mt-0.5 truncate text-sm text-muted-foreground"> </p>'),root$12=from_html('<div class="min-w-0 flex-1"><div class="mb-0.5 flex items-center gap-1.5 text-xs text-muted-foreground"><!> <span> </span><\
+/div> <div class="flex items-center gap-2"><span class="font-medium"> </span> <!></div> <!> <!></div>');function ChatFormPickerItemHeader($$anchor,$$props){push$1($$props,!0);let faviconUrl=user_derived(()=>$$props.server?mcpStore.getServerFavicon($$props.server.id):null);var div=root$12(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var img=root_1$D();template_effect(()=>set_attribute(img,"src",get$4(faviconUrl))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(
+img),append($$anchor2,img)};if_block(node2,$$render=>{get$4(faviconUrl)&&$$render(consequent)})}var span=sibling(node2,2),text2=child(span,!0);reset(span),reset(div_1);var div_2=sibling(div_1,2),span_1=child(div_2),text_1=child(span_1,!0);reset(span_1);var node_1=sibling(span_1,2);{var consequent_1=$$anchor2=>{var fragment=comment$2(),node_2=first_child(fragment);snippet(node_2,()=>$$props.titleExtra),append($$anchor2,fragment)};if_block(node_1,$$render=>{$$props.titleExtra&&$$render(consequent_1)})}
+reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{var p2=root_3$x(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,$$props.description)),append($$anchor2,p2)};if_block(node_3,$$render=>{$$props.description&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_5=first_child(fragment_1);snippet(node_5,()=>$$props.subtitle),append($$anchor2,fragment_1)};if_block(node_4,$$render=>{$$props.subtitle&&
+$$render(consequent_3)})}reset(div),template_effect(()=>{set_text(text2,$$props.serverLabel),set_text(text_1,$$props.title)}),append($$anchor,div),pop()}var root_1$C=from_html('<div class="h-4 w-12 animate-pulse rounded-full bg-muted"></div>'),root$11=from_html('<div class="flex w-full items-start gap-3 rounded-lg px-3 py-2"><div class="min-w-0 flex-1 space-y-2"><div class="mb-2 flex items-center gap-1.5"><div class="h-3 w-3 shrink-0 animate-pulse rounded-sm bg-muted"></div> <div class="h-3 w-24\
+ animate-pulse rounded bg-muted"></div></div> <div class="flex items-center gap-2"><div></div> <!></div> <div class="h-3 w-full animate-pulse rounded bg-muted"></div></div></div>');function ChatFormPickerListItemSkeleton($$anchor,$$props){let titleWidth=prop($$props,"titleWidth",3,"w-48"),showBadge=prop($$props,"showBadge",3,!1);var div=root$11(),div_1=child(div),div_2=sibling(child(div_1),2),div_3=child(div_2),node2=sibling(div_3,2);{var consequent=$$anchor2=>{var div_4=root_1$C();append($$anchor2,
+div_4)};if_block(node2,$$render=>{showBadge()&&$$render(consequent)})}reset(div_2),next$1(2),reset(div_1),reset(div),template_effect(()=>set_class(div_3,1,`h-4 ${titleWidth()??""} animate-pulse rounded bg-muted`)),append($$anchor,div)}var root_5$p=from_html('<span class="inline-flex items-center rounded-full bg-primary/10 px-1.5 py-0.5 text-[10px] font-medium text-primary">attached</span>'),root_6$n=from_html('<p class="mt-0.5 truncate text-xs text-muted-foreground/60"> </p>'),root_10$d=from_html(
+"<!> Browse all",1);function ChatFormResourcePicker($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),resources=state$1(proxy([])),isLoading2=state$1(!1),selectedIndex=state$1(0),internalSearchQuery=state$1(""),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()&&
+(loadResources(),set$1(selectedIndex,0))}),user_effect(()=>{get$4(filteredResources).length>0&&get$4(selectedIndex)>=get$4(filteredResources).length&&set$1(selectedIndex,0)});async function loadResources(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(resources,[],!0);return}await mcpStore.fetchAllResources(),set$1(resources,mcpResourceStore.getAllResourceInfos(),!0)}catch(error2){console.
+error("[ChatFormResourcePicker] Failed to load resources:",error2),set$1(resources,[],!0)}finally{set$1(isLoading2,!1)}}function handleResourceClick(resource){mcpStore.attachResource(resource.uri),$$props.onResourceSelect?.(resource),$$props.onClose?.()}function isResourceAttached(uri2){return mcpResourceStore.isAttached(uri2)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.
+preventDefault(),get$4(filteredResources).length>0&&set$1(selectedIndex,(get$4(selectedIndex)+1)%get$4(filteredResources).length),!0):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),get$4(filteredResources).length>0&&set$1(selectedIndex,get$4(selectedIndex)===0?get$4(filteredResources).length-1:get$4(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER?(event2.preventDefault(),get$4(filteredResources)[get$4(selectedIndex)]&&handleResourceClick(get$4(filteredResources)[get$4(selectedIndex)]),
+!0):!1:!1}let filteredResources=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[server.id,index2])),sortedResources=[...get$4(resources)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$4(internalSearchQuery)).toLowerCase();return query?sortedResources.filter(resource=>resource.
+name.toLowerCase().includes(query)||resource.title?.toLowerCase().includes(query)||resource.description?.toLowerCase().includes(query)||resource.uri.toLowerCase().includes(query)):sortedResources}),showSearchInput=user_derived(()=>get$4(resources).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open resource picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){
+isOpen($$value)},children:($$anchor2,$$slotProps)=>{ChatFormPickerList($$anchor2,{get items(){return get$4(filteredResources)},get isLoading(){return get$4(isLoading2)},get selectedIndex(){return get$4(selectedIndex)},get showSearchInput(){return get$4(showSearchInput)},searchPlaceholder:"Search resources...",emptyMessage:"No MCP resources available",itemKey:resource=>resource.serverName+":"+resource.uri,get searchQuery(){return get$4(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,
+$$value,!0)},item:($$anchor3,resource=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$4(serverSettingsMap).get(resource().serverName)),serverLabel=user_derived(()=>get$4(server)?mcpStore.getServerLabel(get$4(server)):resource().serverName);ChatFormPickerListItem($$anchor3,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onClick:()=>handleResourceClick(resource()),children:($$anchor4,$$slotProps2)=>{{const titleExtra=$$anchor5=>{var fragment_4=comment$2(),
+node2=first_child(fragment_4);{var consequent=$$anchor6=>{var span=root_5$p();append($$anchor6,span)};if_block(node2,$$render=>{isResourceAttached(resource().uri)&&$$render(consequent)})}append($$anchor5,fragment_4)},subtitle=$$anchor5=>{var p2=root_6$n(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,resource().uri)),append($$anchor5,p2)};let $0=user_derived(()=>resource().title||resource().name);ChatFormPickerItemHeader($$anchor4,{get server(){return get$4(server)},get serverLabel(){
+return get$4(serverLabel)},get title(){return get$4($0)},get description(){return resource().description},titleExtra,subtitle,$$slots:{titleExtra:!0,subtitle:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor3=>{ChatFormPickerListItemSkeleton($$anchor3,{})},footer:$$anchor3=>{var fragment_6=comment$2(),node_1=first_child(fragment_6);{var consequent_1=$$anchor4=>{Button($$anchor4,{class:"fixed right-3 bottom-3",type:"button",get onclick(){return $$props.onBrowse},variant:"secondary",size:"sm",children:($$anchor5,$$slotProps2)=>{
+var fragment_8=root_10$d(),node_2=first_child(fragment_8);Folder_open(node_2,{class:"h-3 w-3"}),next$1(),append($$anchor5,fragment_8)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.onBrowse&&get$4(resources).length>3&&$$render(consequent_1)})}append($$anchor3,fragment_6)},$$slots:{item:!0,skeleton:!0,footer:!0}})},$$slots:{default:!0}}),pop($$exports)}function fadeInView(node2,options={}){const{duration:duration2=300,y=0,skipIfVisible=!1}=options;if(skipIfVisible){const rect=node2.getBoundingClientRect();
+if(rect.top<window.innerHeight&&rect.bottom>0&&rect.left<window.innerWidth&&rect.right>0)return}node2.style.opacity="0",node2.style.transform=`translateY(${y}px)`,node2.style.transition=`opacity ${duration2}ms ease-out, transform ${duration2}ms ease-out`,user_effect(()=>{const observer=new IntersectionObserver(entries=>{for(const entry of entries)entry.isIntersecting&&(requestAnimationFrame(()=>{node2.style.opacity="1",node2.style.transform="translateY(0)"}),observer.disconnect())},{threshold:.05});
+return observer.observe(node2),()=>{observer.disconnect()}})}var root_1$B=from_html("<div><!></div>"),root$10=from_html('<div style="height: auto; min-height: calc(100dvh - 14rem);"></div>');function ChatMessages($$anchor,$$props){push$1($$props,!0);let messages=prop($$props,"messages",19,()=>[]),allConversationMessages=state$1(proxy([]));const currentConfig=config$1();setChatActionsContext({copy:async message=>{const asPlainText=!!currentConfig.copyTextAttachmentsAsPlainText,clipboardContent=formatMessageForClipboard(
+message.content,message.extra,asPlainText);await copyToClipboard(clipboardContent,"Message copied to clipboard")},delete:async message=>{await chatStore.deleteMessage(message.id),refreshAllMessages()},navigateToSibling:async siblingId=>{await conversationsStore.navigateToSibling(siblingId)},editWithBranching:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),await chatStore.editMessageWithBranching(message.id,newContent,newExtras),refreshAllMessages()},editWithReplacement:async(message,newContent,shouldBranch)=>{
+$$props.onUserAction?.(),await chatStore.editAssistantMessage(message.id,newContent,shouldBranch),refreshAllMessages()},editUserMessagePreserveResponses:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),await chatStore.editUserMessagePreserveResponses(message.id,newContent,newExtras),refreshAllMessages()},regenerateWithBranching:async(message,modelOverride)=>{$$props.onUserAction?.(),await chatStore.regenerateMessageWithBranching(message.id,modelOverride),refreshAllMessages()},continueAssistantMessage:async message=>{
+$$props.onUserAction?.(),await chatStore.continueAssistantMessage(message.id),refreshAllMessages()},forkConversation:async(message,options)=>{await conversationsStore.forkConversation(message.id,options)}});function refreshAllMessages(){const conversation=activeConversation();conversation?conversationsStore.getConversationMessages(conversation.id).then(messages2=>{set$1(allConversationMessages,messages2,!0)}):set$1(allConversationMessages,[],!0)}user_effect(()=>{activeConversation()&&refreshAllMessages()});
+let displayMessages=user_derived(()=>{if(!messages().length)return[];const filteredMessages=currentConfig.showSystemMessage?messages():messages().filter(msg=>msg.type!==MessageRole.SYSTEM),result=[];for(let i=0;i<filteredMessages.length;i++){const msg=filteredMessages[i];if(msg.role===MessageRole.TOOL)continue;const toolMessages=[];if(msg.role===MessageRole.ASSISTANT&&hasAgenticContent(msg)){let j=i+1;for(;j<filteredMessages.length;){const next2=filteredMessages[j];if(next2.role===MessageRole.TOOL)
+toolMessages.push(next2),j++;else if(next2.role===MessageRole.ASSISTANT)toolMessages.push(next2),j++;else break}i=j-1}else if(msg.role===MessageRole.ASSISTANT){let j=i+1;for(;j<filteredMessages.length&&filteredMessages[j].role===MessageRole.TOOL;)toolMessages.push(filteredMessages[j]),j++}const siblingInfo=getMessageSiblings(get$4(allConversationMessages),msg.id);result.push({message:msg,toolMessages,isLastAssistantMessage:!1,siblingInfo:siblingInfo||{message:msg,siblingIds:[msg.id],currentIndex:0,
+totalSiblings:1}})}for(let i=result.length-1;i>=0;i--)if(result[i].message.role===MessageRole.ASSISTANT){result[i].isLastAssistantMessage=!0;break}return result});var div=root$10();each(div,21,()=>get$4(displayMessages),({message,toolMessages,isLastAssistantMessage,siblingInfo})=>message.id,($$anchor2,$$item)=>{let message=()=>get$4($$item).message,toolMessages=()=>get$4($$item).toolMessages,isLastAssistantMessage=()=>get$4($$item).isLastAssistantMessage,siblingInfo=()=>get$4($$item).siblingInfo;
+var div_1=root_1$B(),node2=child(div_1);ChatMessage(node2,{class:"mx-auto w-full max-w-[48rem]",get message(){return message()},get toolMessages(){return toolMessages()},get isLastAssistantMessage(){return isLastAssistantMessage()},get siblingInfo(){return siblingInfo()}}),reset(div_1),action(div_1,$$node=>fadeInView?.($$node)),append($$anchor2,div_1)}),reset(div),template_effect(()=>set_class(div,1,`flex h-full flex-col space-y-10 pt-24 ${$$props.class??""}`)),append($$anchor,div),pop()}function ChatMessage($$anchor,$$props){
+push$1($$props,!0);let className=prop($$props,"class",3,""),toolMessages=prop($$props,"toolMessages",19,()=>[]),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),siblingInfo=prop($$props,"siblingInfo",3,null);const chatActions=getChatActionsContext();let deletionInfo=state$1(null),editedContent=user_derived(()=>$$props.message.content),editedExtras=user_derived(()=>$$props.message.extra?[...$$props.message.extra]:[]),editedUploadedFiles=state$1(proxy([])),isEditing2=state$1(!1),
+showDeleteDialog=state$1(!1),shouldBranchAfterEdit=state$1(!1),textareaElement=state$1(void 0),showSaveOnlyOption=user_derived(()=>$$props.message.role===MessageRole.USER);setMessageEditContext({get isEditing(){return get$4(isEditing2)},get editedContent(){return get$4(editedContent)},get editedExtras(){return get$4(editedExtras)},get editedUploadedFiles(){return get$4(editedUploadedFiles)},get originalContent(){return $$props.message.content},get originalExtras(){return $$props.message.extra||[]},
+get showSaveOnlyOption(){return get$4(showSaveOnlyOption)},setContent:content2=>{set$1(editedContent,content2)},setExtras:extras=>{set$1(editedExtras,extras)},setUploadedFiles:files=>{set$1(editedUploadedFiles,files,!0)},save:handleSaveEdit,saveOnly:handleSaveEditOnly,cancel:handleCancelEdit,startEdit:handleEdit});let mcpPromptExtra=user_derived(()=>{if($$props.message.role!==MessageRole.USER||$$props.message.content.trim()||!$$props.message.extra||$$props.message.extra.length!==1)return null;const extra=$$props.
+message.extra[0];return extra.type===AttachmentType.MCP_PROMPT?extra:null});user_effect(()=>{const pendingId=pendingEditMessageId();pendingId&&pendingId===$$props.message.id&&!get$4(isEditing2)&&(handleEdit(),chatStore.clearPendingEditMessageId())});async function handleCancelEdit(){if(set$1(isEditing2,!1),$$props.message.role===MessageRole.SYSTEM){await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto(`${base}/`);return}set$1(editedContent,$$props.message.content),set$1(editedExtras,
+$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0)}function handleCopy(){chatActions.copy($$props.message)}async function handleConfirmDelete(){$$props.message.role===MessageRole.SYSTEM?await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto(`${base}/`):chatActions.delete($$props.message),set$1(showDeleteDialog,!1)}async function handleDelete2(){set$1(deletionInfo,await chatStore.getDeletionInfo($$props.message.id),!0),set$1(showDeleteDialog,!0)}
+function handleEdit(){set$1(isEditing2,!0),set$1(editedContent,$$props.message.role===MessageRole.SYSTEM&&$$props.message.content===SYSTEM_MESSAGE_PLACEHOLDER?"":$$props.message.content),get$4(textareaElement)?.focus(),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0),setTimeout(()=>{get$4(textareaElement)&&(get$4(textareaElement).focus(),get$4(textareaElement).setSelectionRange(get$4(textareaElement).value.length,get$4(textareaElement).value.
+length))},0)}function handleRegenerate(modelOverride){chatActions.regenerateWithBranching($$props.message,modelOverride)}function handleContinue(){chatActions.continueAssistantMessage($$props.message)}function handleForkConversation(options){chatActions.forkConversation($$props.message,options)}function handleNavigateToSibling(siblingId){chatActions.navigateToSibling(siblingId)}async function handleSaveEdit(){if($$props.message.role===MessageRole.SYSTEM){const newContent=get$4(editedContent).trim();
+if(!newContent){const conversationDeleted=await chatStore.removeSystemPromptPlaceholder($$props.message.id);set$1(isEditing2,!1),conversationDeleted&&goto(`${base}/`);return}await DatabaseService.updateMessage($$props.message.id,{content:newContent});const index2=conversationsStore.findMessageIndex($$props.message.id);index2!==-1&&conversationsStore.updateMessageAtIndex(index2,{content:newContent})}else if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.
+editWithBranching($$props.message,get$4(editedContent).trim(),finalExtras)}else chatActions.editWithReplacement($$props.message,get$4(editedContent),get$4(shouldBranchAfterEdit));set$1(isEditing2,!1),set$1(shouldBranchAfterEdit,!1),set$1(editedUploadedFiles,[],!0)}async function handleSaveEditOnly(){if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editUserMessagePreserveResponses($$props.message,get$4(editedContent).trim(),finalExtras)}set$1(isEditing2,
+!1),set$1(editedUploadedFiles,[],!0)}async function getMergedExtras(){if(get$4(editedUploadedFiles).length===0)return get$4(editedExtras);const plainFiles=snapshot(get$4(editedUploadedFiles)),newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];return[...get$4(editedExtras),...newExtras]}function handleShowDeleteDialogChange(show){set$1(showDeleteDialog,show,!0)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{ChatMessageSystem($$anchor2,{get class(){
+return className()},get deletionInfo(){return get$4(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$4(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$4(textareaElement)},set textareaElement($$value){set$1(textareaElement,$$value,
+!0)}})},alternate_2=$$anchor2=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent_1=$$anchor3=>{ChatMessageMcpPrompt($$anchor3,{get class(){return className()},get deletionInfo(){return get$4(deletionInfo)},get message(){return $$props.message},get mcpPrompt(){return get$4(mcpPromptExtra)},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,
+get showDeleteDialog(){return get$4(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},alternate_1=$$anchor3=>{var fragment_4=comment$2(),node_2=first_child(fragment_4);{var consequent_2=$$anchor4=>{ChatMessageUser($$anchor4,{get class(){return className()},get deletionInfo(){return get$4(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,
+onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$4(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},alternate=$$anchor4=>{ChatMessageAssistant($$anchor4,{get class(){return className()},get deletionInfo(){return get$4(deletionInfo)},get isLastAssistantMessage(){return isLastAssistantMessage()},get message(){return $$props.message},get toolMessages(){return toolMessages()},get messageContent(){return $$props.message.content},onConfirmDelete:handleConfirmDelete,
+onContinue:handleContinue,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onRegenerate:handleRegenerate,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$4(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$4(textareaElement)},set textareaElement($$value){set$1(textareaElement,$$value,!0)}})};if_block(node_2,$$render=>{$$props.
+message.role===MessageRole.USER?$$render(consequent_2):$$render(alternate,!1)},!0)}append($$anchor3,fragment_4)};if_block(node_1,$$render=>{get$4(mcpPromptExtra)?$$render(consequent_1):$$render(alternate_1,!1)},!0)}append($$anchor2,fragment_2)};if_block(node2,$$render=>{$$props.message.role===MessageRole.SYSTEM?$$render(consequent):$$render(alternate_2,!1)})}append($$anchor,fragment),pop()}var root_2$D=from_html('<div class="agentic-text svelte-1uhcmx5"><!></div>'),root_9$h=from_html('<div class\
+="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">Receiving arguments...</div>'),root_10$c=from_html('<div class="rounded bg-yellow-500/10 p-2 text-xs text-yellow-600 italic dark:text-yellow-400">Response was truncated</div>'),root_5$o=from_html('<div class="pt-3"><div class="my-3 flex items-center gap-2 text-xs text-muted-foreground"><span>Arguments:</span> <!></div> <!></div>'),root_14$5=from_html('<div class="pt-3"><div class="my-3 text-xs text-muted-foreground">Arguments:</div>\
+ <!></div>'),root_18$3=from_html('<img class="mt-2 mb-2 h-auto max-w-full rounded-lg" loading="lazy"/>'),root_17$4=from_html('<div class="font-mono text-xs leading-relaxed whitespace-pre-wrap"> </div> <!>',1),root_16$5=from_html('<div class="overflow-auto rounded-lg border border-border bg-muted p-4"></div>'),root_20$7=from_html('<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">Waiting for result...</div>'),root_13$a=from_html('<!> <div class="pt-3"><div class="my-3 flex\
+ items-center gap-2 text-xs text-muted-foreground"><span>Result:</span> <!></div> <!></div>',1),root_23$3=from_html('<div class="pt-3"><div class="text-xs leading-relaxed break-words whitespace-pre-wrap"> </div></div>'),root_26$2=from_html('<div class="pt-3"><div class="text-xs leading-relaxed break-words whitespace-pre-wrap"> </div></div>'),root_30=from_html('<div class="turn-stats svelte-1uhcmx5"><!></div>'),root_28$1=from_html('<div class="agentic-turn my-2 hover:bg-muted/80 dark:hover:bg-mut\
+ed/30 svelte-1uhcmx5"><span class="agentic-turn-label svelte-1uhcmx5"></span> <!> <!></div>'),root$$=from_html('<div class="agentic-content svelte-1uhcmx5"><!></div>');function ChatMessageAgenticContent($$anchor,$$props){push$1($$props,!0);const renderSection=($$anchor2,section=noop$3,index2=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$D(),node_1=child(div);{let $0=user_derived(()=>$$props.message?.extra);MarkdownContent(node_1,{get content(){
+return section().content},get attachments(){return get$4($0)}})}reset(div),append($$anchor3,div)},alternate_6=$$anchor3=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_4=$$anchor4=>{const streamingIcon=user_derived(()=>(isStreaming(),Loader_circle)),streamingIconClass=user_derived(()=>isStreaming()?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(),section())),$1=user_derived(()=>section().toolName||"Tool call"),$2=user_derived(()=>isStreaming()?
+"":"incomplete");CollapsibleContentBlock($$anchor4,{get open(){return get$4($0)},class:"my-2",get icon(){return get$4(streamingIcon)},get iconClass(){return get$4(streamingIconClass)},get title(){return get$4($1)},get subtitle(){return get$4($2)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section()),children:($$anchor5,$$slotProps)=>{var div_1=root_5$o(),div_2=child(div_1),node_3=sibling(child(div_2),2);{var consequent_1=$$anchor6=>{Loader_circle($$anchor6,{class:"\
+h-3 w-3 animate-spin"})};if_block(node_3,$$render=>{isStreaming()&&$$render(consequent_1)})}reset(div_2);var node_4=sibling(div_2,2);{var consequent_2=$$anchor6=>{{let $02=user_derived(()=>formatJsonPretty(section().toolArgs));SyntaxHighlightedCode($$anchor6,{get code(){return get$4($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}},alternate_1=$$anchor6=>{var fragment_5=comment$2(),node_5=first_child(fragment_5);{var consequent_3=$$anchor7=>{var div_3=root_9$h();
+append($$anchor7,div_3)},alternate=$$anchor7=>{var div_4=root_10$c();append($$anchor7,div_4)};if_block(node_5,$$render=>{isStreaming()?$$render(consequent_3):$$render(alternate,!1)},!0)}append($$anchor6,fragment_5)};if_block(node_4,$$render=>{section().toolArgs?$$render(consequent_2):$$render(alternate_1,!1)})}reset(div_1),append($$anchor5,div_1)},$$slots:{default:!0}})}},alternate_5=$$anchor4=>{var fragment_6=comment$2(),node_6=first_child(fragment_6);{var consequent_10=$$anchor5=>{const isPending=user_derived(
+()=>section().type===AgenticSectionType.TOOL_CALL_PENDING),toolIcon=user_derived(()=>get$4(isPending)?Loader_circle:Wrench),toolIconClass=user_derived(()=>get$4(isPending)?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(),section())),$1=user_derived(()=>section().toolName||""),$2=user_derived(()=>get$4(isPending)?"executing...":void 0);CollapsibleContentBlock($$anchor5,{get open(){return get$4($0)},class:"my-2",get icon(){return get$4(toolIcon)},get iconClass(){return get$4(
+toolIconClass)},get title(){return get$4($1)},get subtitle(){return get$4($2)},get isStreaming(){return get$4(isPending)},onToggle:()=>toggleExpanded(index2(),section()),children:($$anchor6,$$slotProps)=>{var fragment_8=root_13$a(),node_7=first_child(fragment_8);{var consequent_5=$$anchor7=>{var div_5=root_14$5(),node_8=sibling(child(div_5),2);{let $02=user_derived(()=>formatJsonPretty(section().toolArgs));SyntaxHighlightedCode(node_8,{get code(){return get$4($02)},get language(){return FileTypeText.
+JSON},maxHeight:"20rem",class:"text-xs"})}reset(div_5),append($$anchor7,div_5)};if_block(node_7,$$render=>{section().toolArgs&&section().toolArgs!=="{}"&&$$render(consequent_5)})}var div_6=sibling(node_7,2),div_7=child(div_6),node_9=sibling(child(div_7),2);{var consequent_6=$$anchor7=>{Loader_circle($$anchor7,{class:"h-3 w-3 animate-spin"})};if_block(node_9,$$render=>{get$4(isPending)&&$$render(consequent_6)})}reset(div_7);var node_10=sibling(div_7,2);{var consequent_8=$$anchor7=>{var div_8=root_16$5();
+each(div_8,21,()=>section().parsedLines,index$2,($$anchor8,line)=>{var fragment_10=root_17$4(),div_9=first_child(fragment_10),text2=child(div_9,!0);reset(div_9);var node_11=sibling(div_9,2);{var consequent_7=$$anchor9=>{var img=root_18$3();template_effect(()=>{set_attribute(img,"src",get$4(line).image.base64Url),set_attribute(img,"alt",get$4(line).image.name)}),append($$anchor9,img)};if_block(node_11,$$render=>{get$4(line).image&&$$render(consequent_7)})}template_effect(()=>set_text(text2,get$4(
+line).text)),append($$anchor8,fragment_10)}),reset(div_8),append($$anchor7,div_8)},alternate_2=$$anchor7=>{var fragment_11=comment$2(),node_12=first_child(fragment_11);{var consequent_9=$$anchor8=>{var div_10=root_20$7();append($$anchor8,div_10)};if_block(node_12,$$render=>{get$4(isPending)&&$$render(consequent_9)},!0)}append($$anchor7,fragment_11)};if_block(node_10,$$render=>{section().toolResult?$$render(consequent_8):$$render(alternate_2,!1)})}reset(div_6),append($$anchor6,fragment_8)},$$slots:{
+default:!0}})}},alternate_4=$$anchor5=>{var fragment_12=comment$2(),node_13=first_child(fragment_12);{var consequent_11=$$anchor6=>{{let $0=user_derived(()=>isExpanded(index2(),section()));CollapsibleContentBlock($$anchor6,{get open(){return get$4($0)},class:"my-2",get icon(){return Brain},title:"Reasoning",onToggle:()=>toggleExpanded(index2(),section()),children:($$anchor7,$$slotProps)=>{var div_11=root_23$3(),div_12=child(div_11),text_1=child(div_12,!0);reset(div_12),reset(div_11),template_effect(
+()=>set_text(text_1,section().content)),append($$anchor7,div_11)},$$slots:{default:!0}})}},alternate_3=$$anchor6=>{var fragment_14=comment$2(),node_14=first_child(fragment_14);{var consequent_12=$$anchor7=>{const reasoningTitle=user_derived(()=>isStreaming()?"Reasoning...":"Reasoning"),reasoningSubtitle=user_derived(()=>isStreaming()?"":"incomplete");{let $0=user_derived(()=>isExpanded(index2(),section()));CollapsibleContentBlock($$anchor7,{get open(){return get$4($0)},class:"my-2",get icon(){return Brain},
+get title(){return get$4(reasoningTitle)},get subtitle(){return get$4(reasoningSubtitle)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section()),children:($$anchor8,$$slotProps)=>{var div_13=root_26$2(),div_14=child(div_13),text_2=child(div_14,!0);reset(div_14),reset(div_13),template_effect(()=>set_text(text_2,section().content)),append($$anchor8,div_13)},$$slots:{default:!0}})}};if_block(node_14,$$render=>{section().type===AgenticSectionType.REASONING_PENDING&&$$render(
+consequent_12)},!0)}append($$anchor6,fragment_14)};if_block(node_13,$$render=>{section().type===AgenticSectionType.REASONING?$$render(consequent_11):$$render(alternate_3,!1)},!0)}append($$anchor5,fragment_12)};if_block(node_6,$$render=>{section().type===AgenticSectionType.TOOL_CALL||section().type===AgenticSectionType.TOOL_CALL_PENDING?$$render(consequent_10):$$render(alternate_4,!1)},!0)}append($$anchor4,fragment_6)};if_block(node_2,$$render=>{section().type===AgenticSectionType.TOOL_CALL_STREAMING?
+$$render(consequent_4):$$render(alternate_5,!1)},!0)}append($$anchor3,fragment_1)};if_block(node2,$$render=>{section().type===AgenticSectionType.TEXT?$$render(consequent):$$render(alternate_6,!1)})}append($$anchor2,fragment)};let toolMessages=prop($$props,"toolMessages",19,()=>[]),isStreaming=prop($$props,"isStreaming",3,!1),highlightTurns=prop($$props,"highlightTurns",3,!1),expandedStates=proxy({});const showToolCallInProgress=user_derived(()=>config$1().showToolCallInProgress),showThoughtInProgress=user_derived(
+()=>config$1().showThoughtInProgress),sections=user_derived(()=>deriveAgenticSections($$props.message,toolMessages(),[],isStreaming())),sectionsParsed=user_derived(()=>get$4(sections).map(section=>({...section,parsedLines:section.toolResult?parseToolResultWithImages(section.toolResult,section.toolResultExtras||$$props.message?.extra):[]}))),turnGroups=user_derived(()=>{const turns=[];let currentTurn=[],currentIndices=[],prevWasTool=!1;for(let i=0;i<get$4(sectionsParsed).length;i++){const section=get$4(
+sectionsParsed)[i],isTool=section.type===AgenticSectionType.TOOL_CALL||section.type===AgenticSectionType.TOOL_CALL_PENDING||section.type===AgenticSectionType.TOOL_CALL_STREAMING;!isTool&&prevWasTool&&currentTurn.length>0&&(turns.push({sections:currentTurn,flatIndices:currentIndices}),currentTurn=[],currentIndices=[]),currentTurn.push(section),currentIndices.push(i),prevWasTool=isTool}return currentTurn.length>0&&turns.push({sections:currentTurn,flatIndices:currentIndices}),turns});function getDefaultExpanded(section){
+return section.type===AgenticSectionType.TOOL_CALL_PENDING||section.type===AgenticSectionType.TOOL_CALL_STREAMING?get$4(showToolCallInProgress):section.type===AgenticSectionType.REASONING_PENDING?get$4(showThoughtInProgress):!1}function isExpanded(index2,section){return expandedStates[index2]!==void 0?expandedStates[index2]:getDefaultExpanded(section)}function toggleExpanded(index2,section){const currentState=isExpanded(index2,section);expandedStates[index2]=!currentState}function buildTurnAgenticTimings(stats){
+return{turns:1,toolCallsCount:stats.toolCalls.length,toolsMs:stats.toolsMs,toolCalls:stats.toolCalls,llm:stats.llm}}var div_15=root$$(),node_15=child(div_15);{var consequent_14=$$anchor2=>{var fragment_16=comment$2(),node_16=first_child(fragment_16);each(node_16,17,()=>get$4(turnGroups),index$2,($$anchor3,turn,turnIndex)=>{const turnStats=user_derived(()=>$$props.message?.timings?.agentic?.perTurn?.[turnIndex]);var div_16=root_28$1(),span=child(div_16);span.textContent=`Turn ${turnIndex+1}`;var node_17=sibling(
+span,2);each(node_17,19,()=>get$4(turn).sections,(section,sIdx)=>get$4(turn).flatIndices[sIdx],($$anchor4,section,sIdx)=>{renderSection($$anchor4,()=>get$4(section),()=>get$4(turn).flatIndices[get$4(sIdx)])});var node_18=sibling(node_17,2);{var consequent_13=$$anchor4=>{var div_17=root_30(),node_19=child(div_17);{let $0=user_derived(()=>get$4(turnStats).toolCalls.length>0?buildTurnAgenticTimings(get$4(turnStats)):void 0);ChatMessageStatistics(node_19,{get promptTokens(){return get$4(turnStats).llm.
+prompt_n},get promptMs(){return get$4(turnStats).llm.prompt_ms},get predictedTokens(){return get$4(turnStats).llm.predicted_n},get predictedMs(){return get$4(turnStats).llm.predicted_ms},get agenticTimings(){return get$4($0)},get initialView(){return ChatMessageStatsView.GENERATION},hideSummary:!0})}reset(div_17),append($$anchor4,div_17)};if_block(node_18,$$render=>{get$4(turnStats)&&$$render(consequent_13)})}reset(div_16),append($$anchor3,div_16)}),append($$anchor2,fragment_16)},alternate_7=$$anchor2=>{
+var fragment_18=comment$2(),node_20=first_child(fragment_18);each(node_20,17,()=>get$4(sectionsParsed),index$2,($$anchor3,section,index2)=>{renderSection($$anchor3,()=>get$4(section),()=>index2)}),append($$anchor2,fragment_18)};if_block(node_15,$$render=>{highlightTurns()&&get$4(turnGroups).length>1?$$render(consequent_14):$$render(alternate_7,!1)})}reset(div_15),append($$anchor,div_15),pop()}var root_1$A=from_html('<div data-slot="checkbox-indicator" class="text-current transition-none"><!></di\
+v>');function Checkbox($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),checked=prop($$props,"checked",15,!1),indeterminate=prop($$props,"indeterminate",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","checked","indeterminate","class"]);var fragment=comment$2(),node2=first_child(fragment);{const children=($$anchor2,$$arg0)=>{let checked2=()=>$$arg0?.().checked,indeterminate2=()=>$$arg0?.().indeterminate;var div=root_1$A(),node_1=child(div);{var consequent=$$anchor3=>{
+Check($$anchor3,{class:"size-3.5"})},alternate=$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent_1=$$anchor4=>{Minus($$anchor4,{class:"size-3.5"})};if_block(node_2,$$render=>{indeterminate2()&&$$render(consequent_1)},!0)}append($$anchor3,fragment_2)};if_block(node_1,$$render=>{checked2()?$$render(consequent):$$render(alternate,!1)})}reset(div),append($$anchor2,div)};let $0=user_derived(()=>cn$1("peer flex size-4 shrink-0 items-center justify-center rounded-[4p\
+x] border border-input shadow-xs transition-shadow outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[state=checked]:border-primary data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground dark:bg-input/30 dark:aria-invalid:ring-destructive/40 dark:data-[state=checked]:bg-primary",$$props.class));component(node2,()=>Checkbox$1,
+($$anchor2,CheckboxPrimitive_Root)=>{CheckboxPrimitive_Root($$anchor2,spread_props({"data-slot":"checkbox",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get checked(){return checked()},set checked($$value){checked($$value)},get indeterminate(){return indeterminate()},set indeterminate($$value){indeterminate($$value)},children,$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_6$m=from_html('<div class="flex items-center gap\
+-2"><span class="text-xs text-muted-foreground">Show raw output</span> <!></div>'),root_7$k=from_html('<div class="flex flex-col gap-4 py-2"><div class="flex flex-col gap-2"><!> <!></div> <div class="flex items-center gap-2"><!> <!></div></div>'),root$_=from_html('<div><div><!> <div class="pointer-events-auto inset-0 flex items-center gap-1 opacity-100 transition-all duration-150"><!> <!> <!> <!> <!> <!></div></div> <!></div> <!> <!>',1);function ChatMessageActions($$anchor,$$props){push$1($$props,
+!0);let siblingInfo=prop($$props,"siblingInfo",3,null),showDeleteDialog=prop($$props,"showDeleteDialog",7),showRawOutputSwitch=prop($$props,"showRawOutputSwitch",3,!1),rawOutputEnabled=prop($$props,"rawOutputEnabled",3,!1),showForkDialog=state$1(!1),forkName=state$1(""),forkIncludeAttachments=state$1(!0);function handleConfirmDelete(){$$props.onConfirmDelete(),$$props.onShowDeleteDialogChange(!1)}function handleOpenForkDialog(){const conv=activeConversation();set$1(forkName,`Fork of ${conv?.name??
+"Conversation"}`),set$1(forkIncludeAttachments,!0),set$1(showForkDialog,!0)}function handleConfirmFork(){$$props.onForkConversation?.({name:get$4(forkName).trim(),includeAttachments:get$4(forkIncludeAttachments)}),set$1(showForkDialog,!1)}var fragment=root$_(),div=first_child(fragment),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{ChatMessageBranchingControls($$anchor2,{get siblingInfo(){return siblingInfo()},get onNavigateToSibling(){return $$props.onNavigateToSibling}})};if_block(
+node2,$$render=>{siblingInfo()&&siblingInfo().totalSiblings>1&&$$render(consequent)})}var div_2=sibling(node2,2),node_1=child(div_2);ActionIcon(node_1,{get icon(){return Copy},tooltip:"Copy",get onclick(){return $$props.onCopy}});var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return $$props.onEdit}})};if_block(node_2,$$render=>{$$props.onEdit&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{
+ActionIcon($$anchor2,{get icon(){return Refresh_cw},tooltip:"Regenerate",onclick:()=>$$props.onRegenerate()})};if_block(node_3,$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onRegenerate&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Arrow_right},tooltip:"Continue",get onclick(){return $$props.onContinue}})};if_block(node_4,$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onContinue&&$$render(consequent_3)})}
+var node_5=sibling(node_4,2);{var consequent_4=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Git_branch},tooltip:"Fork conversation",onclick:handleOpenForkDialog})};if_block(node_5,$$render=>{$$props.onForkConversation&&$$render(consequent_4)})}var node_6=sibling(node_5,2);ActionIcon(node_6,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}}),reset(div_2),reset(div_1);var node_7=sibling(div_1,2);{var consequent_5=$$anchor2=>{var div_3=root_6$m(),node_8=sibling(
+child(div_3),2);Switch(node_8,{get checked(){return rawOutputEnabled()},onCheckedChange:checked=>$$props.onRawOutputToggle?.(checked)}),reset(div_3),append($$anchor2,div_3)};if_block(node_7,$$render=>{showRawOutputSwitch()&&$$render(consequent_5)})}reset(div);var node_9=sibling(div,2);{let $0=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>1?`This will delete ${$$props.deletionInfo.totalCount} messages including: ${$$props.deletionInfo.userMessages} user message${$$props.deletionInfo.
+userMessages>1?"s":""} and ${$$props.deletionInfo.assistantMessages} assistant response${$$props.deletionInfo.assistantMessages>1?"s":""}. All messages in this branch and their responses will be permanently removed. This action cannot be undone.`:"Are you sure you want to delete this message? This action cannot be undone."),$1=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>1?`Delete ${$$props.deletionInfo.totalCount} Messages`:"Delete");DialogConfirmation(node_9,{title:"D\
+elete Message",get description(){return get$4($0)},get confirmText(){return get$4($1)},cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>$$props.onShowDeleteDialogChange(!1),get open(){return showDeleteDialog()},set open($$value){showDeleteDialog($$value)}})}var node_10=sibling(node_9,2);DialogConfirmation(node_10,{title:"Fork Conversation",description:"Create a new conversation branching from this message.",confirmText:"Fork",cancelText:"\
+Cancel",get icon(){return Git_branch},onConfirm:handleConfirmFork,onCancel:()=>set$1(showForkDialog,!1),get open(){return get$4(showForkDialog)},set open($$value){set$1(showForkDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var div_4=root_7$k(),div_5=child(div_4),node_11=child(div_5);Label(node_11,{for:"fork-name",children:($$anchor3,$$slotProps2)=>{next$1();var text2=text$8("Title");append($$anchor3,text2)},$$slots:{default:!0}});var node_12=sibling(node_11,2);Input(node_12,{id:"fork-na\
+me",class:"text-foreground",placeholder:"Enter fork name",type:"text",get value(){return get$4(forkName)},set value($$value){set$1(forkName,$$value,!0)}}),reset(div_5);var div_6=sibling(div_5,2),node_13=child(div_6);Checkbox(node_13,{id:"fork-attachments",get checked(){return get$4(forkIncludeAttachments)},onCheckedChange:checked=>{set$1(forkIncludeAttachments,checked===!0)}});var node_14=sibling(node_13,2);Label(node_14,{for:"fork-attachments",class:"cursor-pointer text-sm font-normal",children:($$anchor3,$$slotProps2)=>{
+next$1();var text_1=text$8("Include all attachments");append($$anchor3,text_1)},$$slots:{default:!0}}),reset(div_6),reset(div_4),append($$anchor2,div_4)},$$slots:{default:!0}}),template_effect(()=>{set_class(div,1,`relative ${$$props.justify==="start"?"mt-2":""} flex h-6 items-center justify-between`),set_class(div_1,1,`${$$props.actionsPosition==="left"?"left-0":"right-0"} flex items-center gap-2 opacity-100 transition-opacity`)}),append($$anchor,fragment),pop()}var root_5$n=from_html("<p>Previ\
+ous version</p>"),root_2$C=from_html("<!> <!>",1),root_9$g=from_html("<p>Next version</p>"),root_6$l=from_html("<!> <!>",1),root_1$z=from_html('<div role="navigation"><!> <span class="px-1 font-mono text-xs"> </span> <!></div>');function ChatMessageBranchingControls($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),hasPrevious=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex>0),hasNext=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex<
+$$props.siblingInfo.totalSiblings-1),nextSiblingId=user_derived(()=>get$4(hasNext)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex+1]:null),previousSiblingId=user_derived(()=>get$4(hasPrevious)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex-1]:null);function handleNext(){get$4(nextSiblingId)&&$$props.onNavigateToSibling?.(get$4(nextSiblingId))}function handlePrevious(){get$4(previousSiblingId)&&$$props.onNavigateToSibling?.(get$4(previousSiblingId))}var fragment=comment$2(),
+node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$z(),node_1=child(div);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$C(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{{let $0=user_derived(()=>get$4(hasPrevious)?"":"cursor-not-allowed opacity-30"),$1=user_derived(()=>!get$4(
+hasPrevious));Button($$anchor6,{"aria-label":"Previous message version",get class(){return`h-5 w-5 p-0 ${get$4($0)??""}`},get disabled(){return get$4($1)},onclick:handlePrevious,size:"sm",variant:"ghost",children:($$anchor7,$$slotProps3)=>{Chevron_left($$anchor7,{class:"h-3 w-3"})},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_3=sibling(node_2,2);component(node_3,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_5$n();
+append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})});var span=sibling(node_1,2),text2=child(span);reset(span);var node_4=sibling(span,2);component(node_4,()=>Root$5,($$anchor3,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_6$l(),node_5=first_child(fragment_4);component(node_5,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{{let $0=user_derived(
+()=>get$4(hasNext)?"":"cursor-not-allowed opacity-30"),$1=user_derived(()=>!get$4(hasNext));Button($$anchor6,{"aria-label":"Next message version",get class(){return`h-5 w-5 p-0 ${get$4($0)??""}`},get disabled(){return get$4($1)},onclick:handleNext,size:"sm",variant:"ghost",children:($$anchor7,$$slotProps3)=>{Chevron_right($$anchor7,{class:"h-3 w-3"})},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Tooltip_content,($$anchor5,Tooltip_Content_1)=>{
+Tooltip_Content_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_1=root_9$g();append($$anchor6,p_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),reset(div),template_effect(()=>{set_attribute(div,"aria-label",`Message version ${$$props.siblingInfo.currentIndex+1} of ${$$props.siblingInfo.totalSiblings??""}`),set_class(div,1,`flex items-center gap-1 text-xs text-muted-foreground ${className()??""}`),set_text(text2,`${$$props.siblingInfo.currentIndex+1}/${$$props.
+siblingInfo.totalSiblings??""}`)}),append($$anchor2,div)};if_block(node2,$$render=>{$$props.siblingInfo&&$$props.siblingInfo.totalSiblings>1&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_3$w=from_html('<button type="button"><!> <span class="sr-only">Reading</span></button>'),root_4$j=from_html("<p>Reading (prompt processing)</p>"),root_2$B=from_html("<!> <!>",1),root_6$k=from_html('<button type="button"><!> <span class="sr-only">Generation</span></button>'),root_7$j=from_html(
+"<p> </p>"),root_5$m=from_html("<!> <!>",1),root_10$b=from_html('<button type="button"><!> <span class="sr-only">Tools</span></button>'),root_11$8=from_html("<p>Tool calls</p>"),root_9$f=from_html("<!> <!>",1),root_14$4=from_html('<button type="button"><!> <span class="sr-only">Summary</span></button>'),root_15$3=from_html("<p>Agentic summary</p>"),root_13$9=from_html("<!> <!>",1),root_8$h=from_html("<!> <!>",1),root_16$4=from_html("<!> <!> <!>",1),root_18$2=from_html("<!> <!> <!>",1),root_20$6=from_html(
+"<!> <!> <!>",1),root_22$4=from_html("<!> <!> <!>",1),root$Z=from_html('<div class="inline-flex items-center text-xs text-muted-foreground"><div class="inline-flex items-center rounded-sm bg-muted-foreground/15 p-0.5"><!> <!> <!></div> <div class="flex items-center gap-1 px-2"><!></div></div>');function ChatMessageStatistics($$anchor,$$props){push$1($$props,!0);let isLive=prop($$props,"isLive",3,!1),isProcessingPrompt=prop($$props,"isProcessingPrompt",3,!1),initialView=prop($$props,"initialView",
+19,()=>ChatMessageStatsView.GENERATION),hideSummary=prop($$props,"hideSummary",3,!1),activeView=user_derived(initialView),hasAutoSwitchedToGeneration=state$1(!1);user_effect(()=>{$$props.onActiveViewChange?.(get$4(activeView))}),user_effect(()=>{isLive()&&(!get$4(hasAutoSwitchedToGeneration)&&!isProcessingPrompt()&&$$props.predictedTokens&&$$props.predictedTokens>0?(set$1(activeView,ChatMessageStatsView.GENERATION),set$1(hasAutoSwitchedToGeneration,!0)):get$4(hasAutoSwitchedToGeneration)||set$1(
+activeView,ChatMessageStatsView.READING))});let hasGenerationStats=user_derived(()=>$$props.predictedTokens!==void 0&&$$props.predictedTokens>0&&$$props.predictedMs!==void 0&&$$props.predictedMs>0),tokensPerSecond=user_derived(()=>get$4(hasGenerationStats)?$$props.predictedTokens/$$props.predictedMs*MS_PER_SECOND:0),formattedTime=user_derived(()=>$$props.predictedMs!==void 0?formatPerformanceTime($$props.predictedMs):DEFAULT_PERFORMANCE_TIME),promptTokensPerSecond=user_derived(()=>$$props.promptTokens!==
+void 0&&$$props.promptMs!==void 0&&$$props.promptMs>0?$$props.promptTokens/$$props.promptMs*MS_PER_SECOND:void 0),formattedPromptTime=user_derived(()=>$$props.promptMs!==void 0?formatPerformanceTime($$props.promptMs):void 0),hasPromptStats=user_derived(()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&get$4(promptTokensPerSecond)!==void 0&&get$4(formattedPromptTime)!==void 0),isGenerationDisabled=user_derived(()=>isLive()&&!get$4(hasGenerationStats)),hasAgenticStats=user_derived(()=>$$props.
+agenticTimings!==void 0&&$$props.agenticTimings.toolCallsCount>0),agenticToolsPerSecond=user_derived(()=>get$4(hasAgenticStats)&&$$props.agenticTimings.toolsMs>0?$$props.agenticTimings.toolCallsCount/$$props.agenticTimings.toolsMs*MS_PER_SECOND:0),formattedAgenticToolsTime=user_derived(()=>get$4(hasAgenticStats)?formatPerformanceTime($$props.agenticTimings.toolsMs):DEFAULT_PERFORMANCE_TIME),agenticTotalTimeMs=user_derived(()=>get$4(hasAgenticStats)?$$props.agenticTimings.toolsMs+$$props.agenticTimings.
+llm.predicted_ms+$$props.agenticTimings.llm.prompt_ms:0),formattedAgenticTotalTime=user_derived(()=>formatPerformanceTime(get$4(agenticTotalTimeMs)));var div=root$Z(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$B(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{
+Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button=root_3$w();button.__click=()=>set$1(activeView,ChatMessageStatsView.READING);var node_3=child(button);Book_open_text(node_3,{class:"h-3 w-3"}),next$1(2),reset(button),template_effect(()=>set_class(button,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$4(activeView)===ChatMessageStatsView.READING?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),append($$anchor6,button)},
+$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$j();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{(get$4(hasPromptStats)||isLive())&&$$render(consequent)})}var node_5=sibling(node2,2);component(node_5,()=>Root$5,($$anchor2,Tooltip_Root_1)=>{
+Tooltip_Root_1($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_2=root_5$m(),node_6=first_child(fragment_2);component(node_6,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var button_1=root_6$k();button_1.__click=()=>!get$4(isGenerationDisabled)&&set$1(activeView,ChatMessageStatsView.GENERATION);var node_7=child(button_1);Sparkles(node_7,{class:"h-3 w-3"}),next$1(2),reset(button_1),template_effect(()=>{set_class(button_1,
+1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$4(activeView)===ChatMessageStatsView.GENERATION?"bg-background text-foreground shadow-sm":get$4(isGenerationDisabled)?"cursor-not-allowed opacity-40":"hover:text-foreground"}`),button_1.disabled=get$4(isGenerationDisabled)}),append($$anchor5,button_1)},$$slots:{default:!0}})});var node_8=sibling(node_6,2);component(node_8,()=>Tooltip_content,($$anchor4,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{
+var p_1=root_7$j(),text2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text2,get$4(isGenerationDisabled)?"Generation (waiting for tokens...)":"Generation (token output)")),append($$anchor5,p_1)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)},$$slots:{default:!0}})});var node_9=sibling(node_5,2);{var consequent_2=$$anchor2=>{var fragment_3=root_8$h(),node_10=first_child(fragment_3);component(node_10,()=>Root$5,($$anchor3,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor3,{children:($$anchor4,$$slotProps)=>{
+var fragment_4=root_9$f(),node_11=first_child(fragment_4);component(node_11,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button_2=root_10$b();button_2.__click=()=>set$1(activeView,ChatMessageStatsView.TOOLS);var node_12=child(button_2);Wrench(node_12,{class:"h-3 w-3"}),next$1(2),reset(button_2),template_effect(()=>set_class(button_2,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$4(activeView)===
+ChatMessageStatsView.TOOLS?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),append($$anchor6,button_2)},$$slots:{default:!0}})});var node_13=sibling(node_11,2);component(node_13,()=>Tooltip_content,($$anchor5,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_2=root_11$8();append($$anchor6,p_2)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})});var node_14=sibling(node_10,2);{var consequent_1=$$anchor3=>{
+var fragment_5=comment$2(),node_15=first_child(fragment_5);component(node_15,()=>Root$5,($$anchor4,Tooltip_Root_3)=>{Tooltip_Root_3($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_6=root_13$9(),node_16=first_child(fragment_6);component(node_16,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_3)=>{Tooltip_Trigger_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var button_3=root_14$4();button_3.__click=()=>set$1(activeView,ChatMessageStatsView.SUMMARY);var node_17=child(button_3);Layers(
+node_17,{class:"h-3 w-3"}),next$1(2),reset(button_3),template_effect(()=>set_class(button_3,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$4(activeView)===ChatMessageStatsView.SUMMARY?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),append($$anchor7,button_3)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Tooltip_content,($$anchor6,Tooltip_Content_3)=>{Tooltip_Content_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{
+var p_3=root_15$3();append($$anchor7,p_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}),append($$anchor3,fragment_5)};if_block(node_14,$$render=>{hideSummary()||$$render(consequent_1)})}append($$anchor2,fragment_3)};if_block(node_9,$$render=>{get$4(hasAgenticStats)&&$$render(consequent_2)})}reset(div_1);var div_2=sibling(div_1,2),node_19=child(div_2);{var consequent_3=$$anchor2=>{var fragment_7=root_16$4(),node_20=first_child(fragment_7);{let $0=user_derived(()=>$$props.
+predictedTokens?.toLocaleString());BadgeChatStatistic(node_20,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$4($0)??""} tokens`},tooltipLabel:"Generated tokens"})}var node_21=sibling(node_20,2);BadgeChatStatistic(node_21,{class:"bg-transparent",get icon(){return Clock},get value(){return get$4(formattedTime)},tooltipLabel:"Generation time"});var node_22=sibling(node_21,2);{let $0=user_derived(()=>get$4(tokensPerSecond).toFixed(2));BadgeChatStatistic(node_22,{class:"\
+bg-transparent",get icon(){return Gauge},get value(){return`${get$4($0)??""} t/s`},tooltipLabel:"Generation speed"})}append($$anchor2,fragment_7)},alternate_2=$$anchor2=>{var fragment_8=comment$2(),node_23=first_child(fragment_8);{var consequent_4=$$anchor3=>{var fragment_9=root_18$2(),node_24=first_child(fragment_9);BadgeChatStatistic(node_24,{class:"bg-transparent",get icon(){return Wrench},get value(){return`${$$props.agenticTimings.toolCallsCount??""} calls`},tooltipLabel:"Tool calls execute\
+d"});var node_25=sibling(node_24,2);BadgeChatStatistic(node_25,{class:"bg-transparent",get icon(){return Clock},get value(){return get$4(formattedAgenticToolsTime)},tooltipLabel:"Tool execution time"});var node_26=sibling(node_25,2);{let $0=user_derived(()=>get$4(agenticToolsPerSecond).toFixed(2));BadgeChatStatistic(node_26,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$4($0)??""} calls/s`},tooltipLabel:"Tool execution rate"})}append($$anchor3,fragment_9)},alternate_1=$$anchor3=>{
+var fragment_10=comment$2(),node_27=first_child(fragment_10);{var consequent_5=$$anchor4=>{var fragment_11=root_20$6(),node_28=first_child(fragment_11);BadgeChatStatistic(node_28,{class:"bg-transparent",get icon(){return Layers},get value(){return`${$$props.agenticTimings.turns??""} turns`},tooltipLabel:"Agentic turns (LLM calls)"});var node_29=sibling(node_28,2);{let $0=user_derived(()=>$$props.agenticTimings.llm.predicted_n.toLocaleString());BadgeChatStatistic(node_29,{class:"bg-transparent",get icon(){
+return Whole_word},get value(){return`${get$4($0)??""} tokens`},tooltipLabel:"Total tokens generated"})}var node_30=sibling(node_29,2);BadgeChatStatistic(node_30,{class:"bg-transparent",get icon(){return Clock},get value(){return get$4(formattedAgenticTotalTime)},tooltipLabel:"Total time (LLM + tools)"}),append($$anchor4,fragment_11)},alternate=$$anchor4=>{var fragment_12=comment$2(),node_31=first_child(fragment_12);{var consequent_6=$$anchor5=>{var fragment_13=root_22$4(),node_32=first_child(fragment_13);
+BadgeChatStatistic(node_32,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${$$props.promptTokens??""} tokens`},tooltipLabel:"Prompt tokens"});var node_33=sibling(node_32,2);{let $0=user_derived(()=>get$4(formattedPromptTime)??"0s");BadgeChatStatistic(node_33,{class:"bg-transparent",get icon(){return Clock},get value(){return get$4($0)},tooltipLabel:"Prompt processing time"})}var node_34=sibling(node_33,2);{let $0=user_derived(()=>get$4(promptTokensPerSecond).toFixed(2));
+BadgeChatStatistic(node_34,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$4($0)??""} tokens/s`},tooltipLabel:"Prompt processing speed"})}append($$anchor5,fragment_13)};if_block(node_31,$$render=>{get$4(hasPromptStats)&&$$render(consequent_6)},!0)}append($$anchor4,fragment_12)};if_block(node_27,$$render=>{get$4(activeView)===ChatMessageStatsView.SUMMARY&&get$4(hasAgenticStats)?$$render(consequent_5):$$render(alternate,!1)},!0)}append($$anchor3,fragment_10)};if_block(node_23,
+$$render=>{get$4(activeView)===ChatMessageStatsView.TOOLS&&get$4(hasAgenticStats)?$$render(consequent_4):$$render(alternate_1,!1)},!0)}append($$anchor2,fragment_8)};if_block(node_19,$$render=>{get$4(activeView)===ChatMessageStatsView.GENERATION&&get$4(hasGenerationStats)?$$render(consequent_3):$$render(alternate_2,!1)})}reset(div_2),reset(div),append($$anchor,div),pop()}delegate(["click"]);var root_3$v=from_html('<div class="max-w-[80%]"><!></div>'),root_2$A=from_html("<!> <!>",1),root$Y=from_html(
+'<div aria-label="MCP Prompt message with actions" role="group"><!></div>');function ChatMessageMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext();var div=root$Y(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$A(),node_1=first_child(fragment_1);ChatMessageMcpPromptContent(node_1,{get prompt(){return $$props.
+mcpPrompt},get variant(){return McpPromptVariant.MESSAGE},class:"w-full max-w-[80%]"});var node_2=sibling(node_1,2);{var consequent_1=$$anchor3=>{var div_1=root_3$v(),node_3=child(div_1);ChatMessageActions(node_3,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onNavigateToSibling(){return $$props.
+onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_1),append($$anchor3,div_1)};if_block(node_2,$$render=>{$$props.message.timestamp&&$$render(consequent_1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,!1)})}reset(div),template_effect(()=>set_class(
+div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root$X=from_html("<div><!></div>");function Card($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$X();attribute_effect(div,$0=>({"data-slot":"card",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-6 rounded-xl bg-card py-6 text-card-foreground shadow-sm",BOX_BORDER,
+$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_1$y=from_html('<button class="absolute top-1/2 right-3 -translate-y-1/2 text-muted-foreground hover:text-foreground" type="button"><!></button>'),root_4$i=from_html('<tr><td colspan="3" class="p-8 text-center text-sm text-muted-foreground"><!></td></tr>'),root_8$g=from_html('<tr class="cursor-pointer border-b transition-\
+colors hover:bg-muted/50"><td class="p-3"><!></td><td class="p-3 text-sm"><div class="max-w-[17rem] truncate"> </div></td><td class="p-3 text-sm text-muted-foreground"> </td></tr>'),root_3$u=from_html('<table class="w-full"><thead class="sticky top-0 z-10 bg-muted"><tr class="border-b"><th class="w-12 p-3 text-left"><!></th><th class="p-3 text-left text-sm font-medium">Conversation Name</th><th class="w-32 p-3 text-left text-sm font-medium">Messages</th></tr></thead><tbody><!></tbody></table>'),
+root$W=from_html('<div class="space-y-4"><div class="relative"><!> <!> <!></div> <div class="flex items-center justify-between text-sm text-muted-foreground"><span> <!></span></div> <div class="overflow-hidden rounded-md border"><!></div> <div class="flex justify-end gap-2"><!> <!></div></div>');function ConversationSelection($$anchor,$$props){push$1($$props,!0);let messageCountMap=prop($$props,"messageCountMap",19,()=>new Map),searchQuery=state$1(""),selectedIds=state$1(getInitialSelectedIds()),
+lastClickedId=state$1(null);function getInitialSelectedIds(){return new SvelteSet($$props.conversations.map(c2=>c2.id))}let filteredConversations=user_derived(()=>$$props.conversations.filter(conv=>(conv.name||"Untitled conversation").toLowerCase().includes(get$4(searchQuery).toLowerCase()))),allSelected=user_derived(()=>get$4(filteredConversations).length>0&&get$4(filteredConversations).every(conv=>get$4(selectedIds).has(conv.id))),someSelected=user_derived(()=>get$4(filteredConversations).some(
+conv=>get$4(selectedIds).has(conv.id))&&!get$4(allSelected));function toggleConversation(id2,shiftKey=!1){const newSet=new SvelteSet(get$4(selectedIds));if(shiftKey&&get$4(lastClickedId)!==null){const lastIndex=get$4(filteredConversations).findIndex(c2=>c2.id===get$4(lastClickedId)),currentIndex=get$4(filteredConversations).findIndex(c2=>c2.id===id2);if(lastIndex!==-1&&currentIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex),shouldSelect=!newSet.has(id2);
+for(let i=start2;i<=end;i++)shouldSelect?newSet.add(get$4(filteredConversations)[i].id):newSet.delete(get$4(filteredConversations)[i].id);set$1(selectedIds,newSet);return}}newSet.has(id2)?newSet.delete(id2):newSet.add(id2),set$1(selectedIds,newSet),set$1(lastClickedId,id2,!0)}function toggleAll(){if(get$4(allSelected)){const newSet=new SvelteSet(get$4(selectedIds));get$4(filteredConversations).forEach(conv=>newSet.delete(conv.id)),set$1(selectedIds,newSet)}else{const newSet=new SvelteSet(get$4(selectedIds));
+get$4(filteredConversations).forEach(conv=>newSet.add(conv.id)),set$1(selectedIds,newSet)}}function handleConfirm(){const selected=$$props.conversations.filter(conv=>get$4(selectedIds).has(conv.id));$$props.onConfirm(selected)}function handleCancel(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null),$$props.onCancel()}function reset$1(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null)}var $$exports={reset:reset$1},
+div=root$W(),div_1=child(div),node2=child(div_1);Search(node2,{class:"absolute top-1/2 left-3 h-4 w-4 -translate-y-1/2 text-muted-foreground"});var node_1=sibling(node2,2);Input(node_1,{placeholder:"Search conversations...",class:"pr-9 pl-9",get value(){return get$4(searchQuery)},set value($$value){set$1(searchQuery,$$value,!0)}});var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var button=root_1$y();button.__click=()=>set$1(searchQuery,"");var node_3=child(button);X(node_3,{class:"h-4 w\
+-4"}),reset(button),append($$anchor2,button)};if_block(node_2,$$render=>{get$4(searchQuery)&&$$render(consequent)})}reset(div_1);var div_2=sibling(div_1,2),span=child(div_2),text2=child(span),node_4=sibling(text2);{var consequent_1=$$anchor2=>{var text_1=text$8();template_effect(()=>set_text(text_1,`(${get$4(filteredConversations).length??""} shown)`)),append($$anchor2,text_1)};if_block(node_4,$$render=>{get$4(searchQuery)&&$$render(consequent_1)})}reset(span),reset(div_2);var div_3=sibling(div_2,
+2),node_5=child(div_3);Scroll_area(node_5,{class:"h-[400px]",children:($$anchor2,$$slotProps)=>{var table2=root_3$u(),thead2=child(table2),tr2=child(thead2),th=child(tr2),node_6=child(th);Checkbox(node_6,{get checked(){return get$4(allSelected)},get indeterminate(){return get$4(someSelected)},onCheckedChange:toggleAll}),reset(th),next$1(2),reset(tr2),reset(thead2);var tbody2=sibling(thead2),node_7=child(tbody2);{var consequent_3=$$anchor3=>{var tr_1=root_4$i(),td=child(tr_1),node_8=child(td);{var consequent_2=$$anchor4=>{
+var text_2=text$8();template_effect(()=>set_text(text_2,`No conversations found matching "${get$4(searchQuery)??""}"`)),append($$anchor4,text_2)},alternate=$$anchor4=>{var text_3=text$8("No conversations available");append($$anchor4,text_3)};if_block(node_8,$$render=>{get$4(searchQuery)?$$render(consequent_2):$$render(alternate,!1)})}reset(td),reset(tr_1),append($$anchor3,tr_1)},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_9=first_child(fragment_2);each(node_9,17,()=>get$4(filteredConversations),
+conv=>conv.id,($$anchor4,conv)=>{var tr_2=root_8$g();tr_2.__click=e=>toggleConversation(get$4(conv).id,e.shiftKey);var td_1=child(tr_2),node_10=child(td_1);{let $0=user_derived(()=>get$4(selectedIds).has(get$4(conv).id));Checkbox(node_10,{get checked(){return get$4($0)},onclick:e=>{e.preventDefault(),e.stopPropagation(),toggleConversation(get$4(conv).id,e.shiftKey)}})}reset(td_1);var td_2=sibling(td_1),div_4=child(td_2),text_4=child(div_4,!0);reset(div_4),reset(td_2);var td_3=sibling(td_2),text_5=child(
+td_3,!0);reset(td_3),reset(tr_2),template_effect($0=>{set_attribute(div_4,"title",get$4(conv).name||"Untitled conversation"),set_text(text_4,get$4(conv).name||"Untitled conversation"),set_text(text_5,$0)},[()=>messageCountMap().get(get$4(conv).id)??0]),append($$anchor4,tr_2)}),append($$anchor3,fragment_2)};if_block(node_7,$$render=>{get$4(filteredConversations).length===0?$$render(consequent_3):$$render(alternate_1,!1)})}reset(tbody2),reset(table2),append($$anchor2,table2)},$$slots:{default:!0}}),
+reset(div_3);var div_5=sibling(div_3,2),node_11=child(div_5);Button(node_11,{variant:"outline",onclick:handleCancel,children:($$anchor2,$$slotProps)=>{next$1();var text_6=text$8("Cancel");append($$anchor2,text_6)},$$slots:{default:!0}});var node_12=sibling(node_11,2);{let $0=user_derived(()=>get$4(selectedIds).size===0);Button(node_12,{onclick:handleConfirm,get disabled(){return get$4($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_7=text$8();template_effect(()=>set_text(text_7,`${$$props.
+mode==="export"?"Export":"Import"} (${get$4(selectedIds).size??""})`)),append($$anchor2,text_7)},$$slots:{default:!0}})}return reset(div_5),reset(div),template_effect(()=>set_text(text2,`${get$4(selectedIds).size??""} of ${$$props.conversations.length??""} selected `)),append($$anchor,div),pop($$exports)}delegate(["click"]);var root$V=from_html('<div><button aria-label="Scroll left"><!></button> <div><!></div> <button aria-label="Scroll right"><!></button></div>');function HorizontalScrollCarousel($$anchor,$$props){
+push$1($$props,!0);let className=prop($$props,"class",3,""),gapSize=prop($$props,"gapSize",3,"3"),canScrollLeft=state$1(!1),canScrollRight=state$1(!1),scrollContainer=state$1(void 0);function scrollLeft(event2){event2?.stopPropagation(),event2?.preventDefault(),get$4(scrollContainer)&&get$4(scrollContainer).scrollBy({left:get$4(scrollContainer).clientWidth*-.67,behavior:"smooth"})}function scrollRight(event2){event2?.stopPropagation(),event2?.preventDefault(),get$4(scrollContainer)&&get$4(scrollContainer).
+scrollBy({left:get$4(scrollContainer).clientWidth*.67,behavior:"smooth"})}function updateScrollButtons(){if(!get$4(scrollContainer))return;const{scrollLeft:scrollLeft2,scrollWidth,clientWidth}=get$4(scrollContainer);set$1(canScrollLeft,scrollLeft2>0),set$1(canScrollRight,scrollLeft2<scrollWidth-clientWidth-1);const isScrollable=scrollWidth>clientWidth;$$props.onScrollableChange?.(isScrollable)}function resetScroll(){get$4(scrollContainer)&&(get$4(scrollContainer).scrollLeft=0,setTimeout(()=>{updateScrollButtons()},
+0))}user_effect(()=>{get$4(scrollContainer)&&setTimeout(()=>{updateScrollButtons()},0)});var $$exports={resetScroll},div=root$V(),button=child(div);button.__click=scrollLeft;var node2=child(button);Chevron_left(node2,{class:"h-4 w-4"}),reset(button);var div_1=sibling(button,2),node_1=child(div_1);snippet(node_1,()=>$$props.children??noop$3),reset(div_1),bind_this(div_1,$$value=>set$1(scrollContainer,$$value),()=>get$4(scrollContainer));var button_1=sibling(div_1,2);button_1.__click=scrollRight;var node_2=child(
+button_1);return Chevron_right(node_2,{class:"h-4 w-4"}),reset(button_1),reset(div),template_effect(()=>{set_class(div,1,`relative ${className()??""}`),set_class(button,1,`absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 ${get$4(canScrollLeft)?"opacity-100":"pointer-events-none opacity-0"}`),set_class(div_1,1,`scrollbar-hide flex items-start gap-${gapSize()??""}\
+ overflow-x-auto`),set_class(button_1,1,`absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 ${get$4(canScrollRight)?"opacity-100":"pointer-events-none opacity-0"}`)}),event("scroll",div_1,updateScrollButtons),append($$anchor,div),pop($$exports)}delegate(["click"]);var root_3$t=from_html('<span class="block truncate"> </span>'),root_4$h=from_html("<p> </p>"),root_2$z=from_html(
+"<!> <!>",1),root_5$l=from_html("<span> </span>");function TruncatedText($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showTooltip=prop($$props,"showTooltip",3,!0),textElement=state$1(void 0),isTruncated=state$1(!1);function checkTruncation(){get$4(textElement)&&set$1(isTruncated,get$4(textElement).scrollWidth>get$4(textElement).clientWidth)}user_effect(()=>{if(get$4(textElement)){checkTruncation();const observer=new ResizeObserver(checkTruncation);return observer.
+observe(get$4(textElement)),()=>observer.disconnect()}});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$z(),node_2=first_child(fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{get class(){return className()},children:($$anchor6,$$slotProps2)=>{
+var span=root_3$t(),text_1=child(span,!0);reset(span),bind_this(span,$$value=>set$1(textElement,$$value),()=>get$4(textElement)),template_effect(()=>set_text(text_1,$$props.text)),append($$anchor6,span)},$$slots:{default:!0}})});var node_3=sibling(node_2,2);component(node_3,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{class:"z-[9999]",children:($$anchor6,$$slotProps2)=>{var p2=root_4$h(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,$$props.text)),
+append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span_1=root_5$l(),text_3=child(span_1,!0);reset(span_1),bind_this(span_1,$$value=>set$1(textElement,$$value),()=>get$4(textElement)),template_effect(()=>{set_class(span_1,1,`${className()??""} block truncate`),set_text(text_3,$$props.text)}),append($$anchor2,span_1)};if_block(node2,$$render=>{get$4(isTruncated)&&showTooltip()?$$render(consequent):
+$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_4$g=from_html("<span>⌘</span>"),root_6$j=from_html("<span></span>"),root_1$x=from_html("<!> <!>",1),root$U=from_html("<kbd></kbd>");function KeyboardShortcutInfo($$anchor,$$props){push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),className=prop($$props,"class",3,""),variantClasses=user_derived(()=>variant()==="destructive"?"text-destructive":"text-muted-foreground");var kbd=root$U();each(kbd,21,()=>$$props.keys,
+index$2,($$anchor2,key2,index2)=>{var fragment=root_1$x(),node2=first_child(fragment);{var consequent=$$anchor3=>{{let $0=user_derived(()=>variant()==="destructive"?"text-destructive":"");Arrow_big_up($$anchor3,{get class(){return`h-1 w-1 ${get$4($0)??""} -mr-1`}})}},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent_1=$$anchor4=>{var span=root_4$g();template_effect(()=>set_class(span,1,clsx(variant()==="destructive"?"text-destructive":""))),append(
+$$anchor4,span)},alternate=$$anchor4=>{var text2=text$8();template_effect($0=>set_text(text2,$0),[()=>get$4(key2).toUpperCase()]),append($$anchor4,text2)};if_block(node_1,$$render=>{get$4(key2)==="cmd"?$$render(consequent_1):$$render(alternate,!1)},!0)}append($$anchor3,fragment_2)};if_block(node2,$$render=>{get$4(key2)==="shift"?$$render(consequent):$$render(alternate_1,!1)})}var node_2=sibling(node2,2);{var consequent_2=$$anchor3=>{var span_1=root_6$j();append($$anchor3,span_1)};if_block(node_2,
+$$render=>{index2<$$props.keys.length-1&&$$render(consequent_2)})}append($$anchor2,fragment)}),reset(kbd),template_effect(()=>set_class(kbd,1,`px-1 pointer-events-none inline-flex select-none items-center gap-0.5 font-sans text-md font-medium opacity-0 transition-opacity -my-1 ${get$4(variantClasses)??""} ${className()??""}`)),append($$anchor,kbd),pop()}var root_3$s=from_html('<img alt="" class="h-3.5 w-3.5 shrink-0 rounded-sm"/>'),root_4$f=from_html("<span> </span>"),root_1$w=from_html("<!> <!>",
+1),root_8$f=from_html("<span> </span>"),root_9$e=from_html('<span class="max-w-xs break-all"> </span>'),root_7$i=from_html("<!> <!>",1),root_5$k=from_html('<div class="flex flex-wrap justify-end gap-1"></div>'),root_11$7=from_html("<div><span> </span></div>"),root_14$3=from_html('<div><div class="space-y-2"><div class="h-3 w-3/4 animate-pulse rounded bg-foreground/20"></div> <div class="h-3 w-full animate-pulse rounded bg-foreground/20"></div> <div class="h-3 w-5/6 animate-pulse rounded bg-foreg\
+round/20"></div></div></div>'),root_19$1=from_html("<span> </span>"),root_20$5=from_html("<span> </span>"),root_17$3=from_html("<div><span></span></div>"),root$T=from_html('<div><div class="flex items-center justify-between gap-2"><div class="inline-flex flex-wrap items-center gap-1.25 text-xs text-muted-foreground"><!> <!></div> <!></div> <!></div>');function ChatMessageMcpPromptContent($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),variant=prop($$props,"variant",
+19,()=>McpPromptVariant.MESSAGE),isLoading2=prop($$props,"isLoading",3,!1),hoveredArgKey=state$1(null),argumentEntries=user_derived(()=>Object.entries($$props.prompt.arguments??{})),hasArguments=user_derived(()=>$$props.prompt.arguments&&Object.keys($$props.prompt.arguments).length>0),hasContent=user_derived(()=>$$props.prompt.content&&$$props.prompt.content.trim().length>0),contentParts=user_derived(()=>{if(!$$props.prompt.content||!get$4(hasArguments))return[{text:$$props.prompt.content||"",argKey:null}];
+const parts=[];let remaining=$$props.prompt.content;const valueToKey=new SvelteMap;for(const[key2,value]of get$4(argumentEntries))value&&value.trim()&&valueToKey.set(value,key2);const sortedValues=[...valueToKey.keys()].sort((a,b)=>b.length-a.length);for(;remaining.length>0;){let earliestMatch=null;for(const value of sortedValues){const index2=remaining.indexOf(value);index2!==-1&&(earliestMatch===null||index2<earliestMatch.index)&&(earliestMatch={index:index2,value,key:valueToKey.get(value)})}if(earliestMatch)
+earliestMatch.index>0&&parts.push({text:remaining.slice(0,earliestMatch.index),argKey:null}),parts.push({text:earliestMatch.value,argKey:earliestMatch.key}),remaining=remaining.slice(earliestMatch.index+earliestMatch.value.length);else{parts.push({text:remaining,argKey:null});break}}return parts}),showArgBadges=user_derived(()=>get$4(hasArguments)&&!isLoading2()&&!$$props.loadError),isAttachment=user_derived(()=>variant()===McpPromptVariant.ATTACHMENT),textSizeClass=user_derived(()=>get$4(isAttachment)?
+"text-xs":"text-md"),paddingClass=user_derived(()=>get$4(isAttachment)?"px-3 py-2":"px-3.75 py-2.5"),maxHeightStyle=user_derived(()=>get$4(isAttachment)?"max-height: 6rem;":"max-height: var(--max-message-height);");const serverFavicon=user_derived(()=>mcpStore.getServerFavicon($$props.prompt.serverName)),serverDisplayName=user_derived(()=>mcpStore.getServerDisplayName($$props.prompt.serverName));var div=root$T(),div_1=child(div),div_2=child(div_1),node2=child(div_2);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{
+Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment=root_1$w(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent=$$anchor6=>{var img=root_3$s();template_effect(()=>set_attribute(img,"src",get$4(serverFavicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append(
+$$anchor6,img)};if_block(node_2,$$render=>{get$4(serverFavicon)&&$$render(consequent)})}append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var span=root_4$f(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,get$4(serverDisplayName))),append($$anchor5,span)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{
+default:!0}})});var node_4=sibling(node2,2);TruncatedText(node_4,{get text(){return $$props.prompt.name}}),reset(div_2);var node_5=sibling(div_2,2);{var consequent_1=$$anchor2=>{var div_3=root_5$k();each(div_3,21,()=>get$4(argumentEntries),([key2,value])=>key2,($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$4($$item),2));let key2=()=>get$4($$array)[0],value=()=>get$4($$array)[1];var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor4,Tooltip_Root_1)=>{
+Tooltip_Root_1($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_3=root_7$i(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_1=root_8$f(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>{set_class(span_1,1,`rounded-sm bg-purple-200/60 px-1.5 py-0.5 text-[10px] leading-none text-purple-700 transition-opacity dark:bg-purple-800/40 dark:text-purple-300 ${get$4(
+hoveredArgKey)&&get$4(hoveredArgKey)!==key2()?"opacity-30":""}`),set_text(text_1,key2())}),event("mouseenter",span_1,()=>set$1(hoveredArgKey,key2(),!0)),event("mouseleave",span_1,()=>set$1(hoveredArgKey,null)),append($$anchor7,span_1)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);component(node_8,()=>Tooltip_content,($$anchor6,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_2=root_9$e(),text_2=child(span_2,!0);reset(span_2),template_effect(
+()=>set_text(text_2,value())),append($$anchor7,span_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)}),reset(div_3),append($$anchor2,div_3)};if_block(node_5,$$render=>{get$4(showArgBadges)&&$$render(consequent_1)})}reset(div_1);var node_9=sibling(div_1,2);{var consequent_2=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] border border-destructive/50 bg-destructive/10 backdrop-blur-md",children:($$anchor3,$$slotProps)=>{
+var div_4=root_11$7(),span_3=child(div_4),text_3=child(span_3,!0);reset(span_3),reset(div_4),template_effect(()=>{set_class(div_4,1,`overflow-y-auto ${get$4(paddingClass)??""}`),set_style(div_4,`${get$4(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_3,1,`${get$4(textSizeClass)??""} text-destructive`),set_text(text_3,$$props.loadError)}),append($$anchor3,div_4)},$$slots:{default:!0}})},alternate_2=$$anchor2=>{var fragment_5=comment$2(),node_10=first_child(fragment_5);
+{var consequent_3=$$anchor3=>{Card($$anchor3,{class:"relative overflow-hidden rounded-[1.125rem] border border-purple-200 bg-purple-500/10 px-1 py-2 backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor4,$$slotProps)=>{var div_5=root_14$3();template_effect(()=>{set_class(div_5,1,`overflow-y-auto ${get$4(paddingClass)??""}`),set_style(div_5,`${get$4(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`)}),append($$anchor4,div_5)},$$slots:{default:!0}})},
+alternate_1=$$anchor3=>{var fragment_7=comment$2(),node_11=first_child(fragment_7);{var consequent_5=$$anchor4=>{Card($$anchor4,{class:"relative overflow-hidden rounded-[1.125rem] border border-purple-200 bg-purple-500/10 py-0 text-foreground backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor5,$$slotProps)=>{var div_6=root_17$3(),span_4=child(div_6);each(span_4,21,()=>get$4(contentParts),index$2,($$anchor6,part)=>{var fragment_9=comment$2(),node_12=first_child(fragment_9);
+{var consequent_4=$$anchor7=>{var span_5=root_19$1(),text_4=child(span_5,!0);reset(span_5),template_effect(()=>{set_class(span_5,1,`rounded-sm bg-purple-300/50 px-0.5 text-purple-900 transition-opacity dark:bg-purple-700/50 dark:text-purple-100 ${get$4(hoveredArgKey)&&get$4(hoveredArgKey)!==get$4(part).argKey?"opacity-30":""}`),set_text(text_4,get$4(part).text)}),event("mouseenter",span_5,()=>set$1(hoveredArgKey,get$4(part).argKey,!0)),event("mouseleave",span_5,()=>set$1(hoveredArgKey,null)),append(
+$$anchor7,span_5)},alternate=$$anchor7=>{var span_6=root_20$5(),text_5=child(span_6,!0);reset(span_6),template_effect(()=>{set_class(span_6,1,`transition-opacity ${get$4(hoveredArgKey)?"opacity-30":""}`),set_text(text_5,get$4(part).text)}),append($$anchor7,span_6)};if_block(node_12,$$render=>{get$4(part).argKey?$$render(consequent_4):$$render(alternate,!1)})}append($$anchor6,fragment_9)}),reset(span_4),reset(div_6),template_effect(()=>{set_class(div_6,1,`overflow-y-auto ${get$4(paddingClass)??""}`),
+set_style(div_6,`${get$4(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_4,1,`${get$4(textSizeClass)??""} whitespace-pre-wrap`)}),append($$anchor5,div_6)},$$slots:{default:!0}})};if_block(node_11,$$render=>{get$4(hasContent)&&$$render(consequent_5)},!0)}append($$anchor3,fragment_7)};if_block(node_10,$$render=>{isLoading2()?$$render(consequent_3):$$render(alternate_1,!1)},!0)}append($$anchor2,fragment_5)};if_block(node_9,$$render=>{$$props.loadError?$$render(
+consequent_2):$$render(alternate_2,!1)})}reset(div),template_effect(()=>set_class(div,1,`flex flex-col gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root_2$y=from_html("<!> Cancel",1),root_3$r=from_html("<!> Save",1),root_1$v=from_html('<div class="w-full max-w-[80%]"><textarea placeholder="Edit system message..."></textarea> <div class="mt-2 flex justify-end gap-2"><!> <!></div></div>'),root_7$h=from_html("<div><!></div>"),root_8$e=from_html("<span> </span>"),root_9$d=from_html('<d\
+iv class="pointer-events-none absolute right-0 bottom-0 left-0 h-48 bg-gradient-to-t from-muted to-transparent"></div> <div class="pointer-events-none absolute right-0 bottom-4 left-0 flex justify-center opacity-0 transition-opacity group-hover/expand:opacity-100"><!></div>',1),root_11$6=from_html('<div class="mb-2 flex justify-center"><!></div>'),root_6$i=from_html("<div><!> <!></div> <!>",1),root_5$j=from_html('<div class="relative max-w-[80%]"><button type="button"><!></button></div>'),root_13$8=from_html(
+'<div class="max-w-[80%]"><!></div>'),root_4$e=from_html("<!> <!>",1),root$S=from_html('<div aria-label="System message with actions" role="group"><!></div>');function ChatMessageSystem($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null),textareaElement=prop($$props,"textareaElement",15);const editCtx=getMessageEditContext();function handleEditKeydown(event2){event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(
+event2)?(event2.preventDefault(),editCtx.save()):event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),editCtx.cancel())}let isMultiline=state$1(!1),messageElement=state$1(void 0),isExpanded=state$1(!1),contentHeight=state$1(0);const MAX_HEIGHT=200,currentConfig=config$1();let showExpandButton=user_derived(()=>get$4(contentHeight)>MAX_HEIGHT);user_effect(()=>{if(!get$4(messageElement)||!$$props.message.content.trim())return;$$props.message.content.includes(`
+`)&&set$1(isMultiline,!0);const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5),set$1(contentHeight,element2.scrollHeight,!0)}});return resizeObserver.observe(get$4(messageElement)),()=>{resizeObserver.disconnect()}});function toggleExpand(){set$1(isExpanded,!get$4(isExpanded))}var div=root$S(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$v(),textarea=child(div_1);remove_textarea_child(
+textarea),textarea.__keydown=handleEditKeydown,textarea.__input=e=>editCtx.setContent(e.currentTarget.value),bind_this(textarea,$$value=>textareaElement($$value),()=>textareaElement());var div_2=sibling(textarea,2),node_1=child(div_2);Button(node_1,{class:"h-8 px-3",get onclick(){return editCtx.cancel},size:"sm",variant:"outline",children:($$anchor3,$$slotProps)=>{var fragment=root_2$y(),node_2=first_child(fragment);X(node_2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}});
+var node_3=sibling(node_1,2);{let $0=user_derived(()=>!editCtx.editedContent.trim());Button(node_3,{class:"h-8 px-3",get onclick(){return editCtx.save},get disabled(){return get$4($0)},size:"sm",children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$r(),node_4=first_child(fragment_1);Check(node_4,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_2),reset(div_1),template_effect(()=>{set_value(textarea,editCtx.editedContent),set_class(textarea,1,`min\
+-h-[60px] w-full resize-none rounded-2xl px-3 py-2 text-sm ${INPUT_CLASSES??""}`)}),append($$anchor2,div_1)},alternate_1=$$anchor2=>{var fragment_2=root_4$e(),node_5=first_child(fragment_2);{var consequent_4=$$anchor3=>{var div_3=root_5$j(),button=child(div_3);button.__click=function(...$$args){(get$4(showExpandButton)&&!get$4(isExpanded)?toggleExpand:void 0)?.apply(this,$$args)};var node_6=child(button);{let $0=user_derived(()=>get$4(isMultiline)?"":void 0);Card(node_6,{class:"overflow-y-auto r\
+ounded-[1.125rem] !border-2 !border-dashed !border-border/50 bg-muted px-3.75 py-1.5 data-[multiline]:py-2.5",get"data-multiline"(){return get$4($0)},style:"border: 2px dashed hsl(var(--border)); max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;",children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$i(),div_4=first_child(fragment_3),node_7=child(div_4);{var consequent_1=$$anchor5=>{var div_5=root_7$h(),node_8=child(div_5);MarkdownContent(node_8,{class:"ma\
+rkdown-system-content -my-4",get content(){return $$props.message.content}}),reset(div_5),bind_this(div_5,$$value=>set$1(messageElement,$$value),()=>get$4(messageElement)),template_effect(()=>set_class(div_5,1,clsx(get$4(isExpanded)?"cursor-text":""))),append($$anchor5,div_5)},alternate=$$anchor5=>{var span=root_8$e(),text2=child(span,!0);reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$4(messageElement)),template_effect(()=>{set_class(span,1,`text-md whitespace-pre-wrap\
+ ${get$4(isExpanded)?"cursor-text":""}`),set_text(text2,$$props.message.content)}),append($$anchor5,span)};if_block(node_7,$$render=>{currentConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,!1)})}var node_9=sibling(node_7,2);{var consequent_2=$$anchor5=>{var fragment_4=root_9$d(),div_6=sibling(first_child(fragment_4),2),node_10=child(div_6);Button(node_10,{class:"rounded-full px-4 py-1.5 text-xs shadow-md",size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{
+next$1();var text_1=text$8("Show full system message");append($$anchor6,text_1)},$$slots:{default:!0}}),reset(div_6),append($$anchor5,fragment_4)};if_block(node_9,$$render=>{!get$4(isExpanded)&&get$4(showExpandButton)&&$$render(consequent_2)})}reset(div_4);var node_11=sibling(div_4,2);{var consequent_3=$$anchor5=>{var div_7=root_11$6(),node_12=child(div_7);Button(node_12,{class:"rounded-full px-4 py-1.5 text-xs",onclick:e=>{e.stopPropagation(),toggleExpand()},size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{
+next$1();var text_2=text$8("Collapse System Message");append($$anchor6,text_2)},$$slots:{default:!0}}),reset(div_7),append($$anchor5,div_7)};if_block(node_11,$$render=>{get$4(isExpanded)&&get$4(showExpandButton)&&$$render(consequent_3)})}template_effect(()=>{set_class(div_4,1,`relative transition-all duration-300 ${get$4(isExpanded)?"cursor-text select-text":"select-none"}`),set_style(div_4,!get$4(isExpanded)&&get$4(showExpandButton)?`max-height: ${MAX_HEIGHT}px;`:"max-height: none;")}),append($$anchor4,
+fragment_3)},$$slots:{default:!0}})}reset(button),reset(div_3),template_effect(()=>set_class(button,1,`group/expand w-full text-left ${!get$4(isExpanded)&&get$4(showExpandButton)?"cursor-pointer":"cursor-auto"}`)),append($$anchor3,div_3)};if_block(node_5,$$render=>{$$props.message.content.trim()&&$$render(consequent_4)})}var node_13=sibling(node_5,2);{var consequent_5=$$anchor3=>{var div_8=root_13$8(),node_14=child(div_8);ChatMessageActions(node_14,{actionsPosition:"right",get deletionInfo(){return $$props.
+deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_8),append($$anchor3,div_8)};
+if_block(node_13,$$render=>{$$props.message.timestamp&&$$render(consequent_5)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate_1,!1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}delegate(["keydown","input","click"]);var root_1$u=from_html('<div class="flex items-center gap-2"><!> <label for="save-only-switch" class="cursor-pointer t\
+ext-xs text-muted-foreground">Update without re-sending</label></div>'),root_2$x=from_html("<div></div>"),root_3$q=from_html("<!> Cancel",1),root$R=from_html('<div class="relative w-full max-w-[80%]"><!></div> <div class="mt-2 flex w-full max-w-[80%] items-center justify-between"><!> <!></div> <!>',1);function ChatMessageEditForm($$anchor,$$props){push$1($$props,!0);const editCtx=getMessageEditContext();let inputAreaRef=state$1(void 0),saveWithoutRegenerate=state$1(!1),showDiscardDialog=state$1(
+!1),hasUnsavedChanges=user_derived(()=>!!(editCtx.editedContent!==editCtx.originalContent||editCtx.editedUploadedFiles.length>0||editCtx.editedExtras.length!==editCtx.originalExtras.length||editCtx.editedExtras.some((extra,i)=>extra!==editCtx.originalExtras[i]))),hasAttachments=user_derived(()=>editCtx.editedExtras&&editCtx.editedExtras.length>0||editCtx.editedUploadedFiles&&editCtx.editedUploadedFiles.length>0),canSubmit=user_derived(()=>editCtx.editedContent.trim().length>0||get$4(hasAttachments));
+function handleGlobalKeydown(event2){event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),attemptCancel())}function attemptCancel(){get$4(hasUnsavedChanges)?set$1(showDiscardDialog,!0):editCtx.cancel()}function handleSubmit(){get$4(canSubmit)&&(get$4(saveWithoutRegenerate)&&editCtx.showSaveOnlyOption?editCtx.saveOnly():editCtx.save(),set$1(saveWithoutRegenerate,!1))}function handleAttachmentRemove(index2){const newExtras=[...editCtx.editedExtras];newExtras.splice(index2,1),editCtx.setExtras(
+newExtras)}function handleUploadedFileRemove(fileId){const newFiles=editCtx.editedUploadedFiles.filter(f=>f.id!==fileId);editCtx.setUploadedFiles(newFiles)}async function handleFilesAdd(files){const processed=await processFilesToChatUploaded(files);editCtx.setUploadedFiles([...editCtx.editedUploadedFiles,...processed])}function handleUploadedFilesChange(files){editCtx.setUploadedFiles(files)}user_effect(()=>(chatStore.setEditModeActive(handleFilesAdd),()=>{chatStore.clearEditMode()}));var fragment=root$R();
+event("keydown",$window,handleGlobalKeydown);var div=first_child(fragment),node2=child(div);bind_this(ChatForm(node2,{get value(){return editCtx.editedContent},get attachments(){return editCtx.editedExtras},get uploadedFiles(){return editCtx.editedUploadedFiles},placeholder:"Edit your message...",showMcpPromptButton:!0,get onValueChange(){return editCtx.setContent},onAttachmentRemove:handleAttachmentRemove,onUploadedFileRemove:handleUploadedFileRemove,onUploadedFilesChange:handleUploadedFilesChange,
+onFilesAdd:handleFilesAdd,onSubmit:handleSubmit}),$$value=>set$1(inputAreaRef,$$value,!0),()=>get$4(inputAreaRef)),reset(div);var div_1=sibling(div,2),node_1=child(div_1);{var consequent=$$anchor2=>{var div_2=root_1$u(),node_2=child(div_2);Switch(node_2,{id:"save-only-switch",class:"scale-75",get checked(){return get$4(saveWithoutRegenerate)},set checked($$value){set$1(saveWithoutRegenerate,$$value,!0)}}),next$1(2),reset(div_2),append($$anchor2,div_2)},alternate=$$anchor2=>{var div_3=root_2$x();
+append($$anchor2,div_3)};if_block(node_1,$$render=>{editCtx.showSaveOnlyOption?$$render(consequent):$$render(alternate,!1)})}var node_3=sibling(node_1,2);Button(node_3,{class:"h-7 px-3 text-xs",onclick:attemptCancel,size:"sm",variant:"ghost",children:($$anchor2,$$slotProps)=>{var fragment_1=root_3$q(),node_4=first_child(fragment_1);X(node_4,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div_1);var node_5=sibling(div_1,2);DialogConfirmation(node_5,{title:"\
+Discard changes?",description:"You have unsaved changes. Are you sure you want to discard them?",confirmText:"Discard",cancelText:"Keep editing",variant:"destructive",get icon(){return Triangle_alert},get onConfirm(){return editCtx.cancel},onCancel:()=>set$1(showDiscardDialog,!1),get open(){return get$4(showDiscardDialog)},set open($$value){set$1(showDiscardDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_3$p=from_html('<div class="mb-2 max-w-[80%]"><!></div>'),root_6$h=from_html("\
+<div><!></div>"),root_7$g=from_html('<span class="text-md whitespace-pre-wrap"> </span>'),root_8$d=from_html('<div class="max-w-[80%]"><!></div>'),root_2$w=from_html("<!> <!> <!>",1),root$Q=from_html('<div aria-label="User message with actions" role="group"><!></div>');function ChatMessageUser($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext();let isMultiline=state$1(!1),messageElement=state$1(
+void 0);const currentConfig=config$1();user_effect(()=>{if(!get$4(messageElement)||!$$props.message.content.trim())return;if($$props.message.content.includes(`
+`)){set$1(isMultiline,!0);return}const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5)}});return resizeObserver.observe(get$4(messageElement)),()=>{resizeObserver.disconnect()}});var div=root$Q(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate_1=$$anchor2=>{var fragment_1=root_2$w(),node_1=first_child(fragment_1);{var consequent_1=$$anchor3=>{var div_1=root_3$p(),
+node_2=child(div_1);ChatAttachmentsList(node_2,{get attachments(){return $$props.message.extra},readonly:!0,imageHeight:"h-80"}),reset(div_1),append($$anchor3,div_1)};if_block(node_1,$$render=>{$$props.message.extra&&$$props.message.extra.length>0&&$$render(consequent_1)})}var node_3=sibling(node_1,2);{var consequent_3=$$anchor3=>{{let $0=user_derived(()=>get$4(isMultiline)?"":void 0);Card($$anchor3,{class:"max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 te\
+xt-foreground backdrop-blur-md data-[multiline]:py-2.5 dark:bg-primary/15",get"data-multiline"(){return get$4($0)},style:"max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;",children:($$anchor4,$$slotProps)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);{var consequent_2=$$anchor5=>{var div_2=root_6$h(),node_5=child(div_2);MarkdownContent(node_5,{class:"markdown-user-content -my-4",get content(){return $$props.message.content}}),reset(div_2),bind_this(
+div_2,$$value=>set$1(messageElement,$$value),()=>get$4(messageElement)),append($$anchor5,div_2)},alternate=$$anchor5=>{var span=root_7$g(),text2=child(span,!0);reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$4(messageElement)),template_effect(()=>set_text(text2,$$props.message.content)),append($$anchor5,span)};if_block(node_4,$$render=>{currentConfig.renderUserContentAsMarkdown?$$render(consequent_2):$$render(alternate,!1)})}append($$anchor4,fragment_3)},$$slots:{default:!0}})}};
+if_block(node_3,$$render=>{$$props.message.content.trim()&&$$render(consequent_3)})}var node_6=sibling(node_3,2);{var consequent_4=$$anchor3=>{var div_3=root_8$d(),node_7=child(div_3);ChatMessageActions(node_7,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onForkConversation(){return $$props.
+onForkConversation},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_3),append($$anchor3,div_3)};if_block(node_6,$$render=>{$$props.message.timestamp&&$$render(consequent_4)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):
+$$render(alternate_1,!1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}function useProcessingState(){let isMonitoring=state$1(!1),lastKnownState=state$1(null),lastKnownProcessingStats=state$1(null);const processingState=user_derived(()=>get$4(isMonitoring)?activeProcessingState():get$4(lastKnownState));user_effect(()=>{get$4(processingState)&&get$4(isMonitoring)&&set$1(lastKnownState,get$4(processingState),
+!0)}),user_effect(()=>{if(get$4(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$4(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);set$1(lastKnownProcessingStats,{tokensProcessed:actualProcessed,totalTokens:actualTotal,timeMs:time_ms,tokensPerSecond},!0)}}});function getETASecs(done,total,elapsedMs){const elapsedSecs=elapsedMs/1e3;return done===
+0||elapsedSecs<.5?void 0:elapsedSecs*(total/done-1)}function startMonitoring(){get$4(isMonitoring)||set$1(isMonitoring,!0)}function stopMonitoring(){if(!get$4(isMonitoring))return;set$1(isMonitoring,!1),config$1().keepStatsVisible||(set$1(lastKnownState,null),set$1(lastKnownProcessingStats,null))}function getProcessingMessage(){if(!get$4(processingState))return"Processing...";switch(get$4(processingState).status){case"initializing":return"Initializing...";case"preparing":return get$4(processingState).
+progressPercent!==void 0?`Processing (${get$4(processingState).progressPercent}%)`:"Preparing response...";case"generating":return"";default:return"Processing..."}}function getProcessingDetails(){const stateToUse=get$4(processingState)||get$4(lastKnownState);if(!stateToUse)return[];const details=[];if(stateToUse.promptProgress){const{processed,total,time_ms,cache:cache2}=stateToUse.promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed<actualTotal&&actualProcessed>
+0){const percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);details.push(`Processing ${percent}% (ETA: ${etaSecs}s)`)}else details.push(`Processing ${percent}%`)}}if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.round(stateToUse.contextUsed/stateToUse.contextTotal*100);details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.
+contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.tokensPerSecond&&stateToUse.tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),
+stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function getTechnicalDetails(){const stateToUse=get$4(processingState)||get$4(lastKnownState);if(!stateToUse)return[];const details=[];if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.round(stateToUse.contextUsed/stateToUse.contextTotal*100);details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.
+outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.tokensPerSecond&&stateToUse.tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push(
+"Speculative decoding enabled"),details}function shouldShowDetails(){return get$4(processingState)!==null&&get$4(processingState).status!=="idle"}function getPromptProgressText(){if(!get$4(processingState)?.promptProgress)return null;const{processed,total,cache:cache2}=get$4(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2,percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,get$4(processingState).promptProgress.time_ms);
+if(eta!==void 0){const etaSecs=Math.ceil(eta);return`Processing ${percent}% (ETA: ${etaSecs}s)`}return`Processing ${percent}%`}function getLiveProcessingStats(){if(get$4(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$4(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);return{tokensProcessed:actualProcessed,totalTokens:actualTotal,timeMs:time_ms,
+tokensPerSecond}}}return get$4(lastKnownProcessingStats)}function getLiveGenerationStats(){if(!get$4(processingState))return null;const{tokensDecoded,tokensPerSecond}=get$4(processingState);if(tokensDecoded<=0)return null;const timeMs=tokensPerSecond&&tokensPerSecond>0?tokensDecoded/tokensPerSecond*1e3:0;return{tokensGenerated:tokensDecoded,timeMs,tokensPerSecond:tokensPerSecond||0}}return{get processingState(){return get$4(processingState)},getProcessingDetails,getTechnicalDetails,getProcessingMessage,
+getPromptProgressText,getLiveProcessingStats,getLiveGenerationStats,shouldShowDetails,startMonitoring,stopMonitoring}}var root_1$t=from_html('<div class="mt-6 w-full max-w-[48rem]"><div class="processing-container svelte-14103tf"><span class="processing-text svelte-14103tf"> </span></div></div>'),root_4$d=from_html("<!> Cancel",1),root_5$i=from_html("<!> Save",1),root_2$v=from_html('<div class="w-full"><textarea placeholder="Edit assistant message..."></textarea> <div class="mt-2 flex items-cent\
+er justify-between"><div class="flex items-center space-x-2"><!> <!></div> <div class="flex gap-2"><!> <!></div></div></div>'),root_8$c=from_html('<pre class="raw-output svelte-14103tf"> </pre>'),root_10$a=from_html('<div class="text-sm whitespace-pre-wrap"> </div>'),root_11$5=from_html('<div class="mt-4 w-full max-w-[48rem]"><div class="processing-container svelte-14103tf"><span class="processing-text svelte-14103tf"> </span></div></div>'),root_12$6=from_html('<div class="inline-flex flex-wrap \
+items-start gap-2 text-xs text-muted-foreground"><!> <!></div>'),root$P=from_html('<div role="group" aria-label="Assistant message with actions"><!> <!> <!> <div class="info my-6 grid gap-4 tabular-nums"><!></div> <!></div>');function ChatMessageAssistant($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),toolMessages=prop($$props,"toolMessages",19,()=>[]),siblingInfo=prop($$props,"siblingInfo",3,null),
+textareaElement=prop($$props,"textareaElement",15);const editCtx=getMessageEditContext();let shouldBranchAfterEdit=state$1(!1);function handleEditKeydown(event2){event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)?(event2.preventDefault(),editCtx.save()):event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),editCtx.cancel())}const isAgentic=user_derived(()=>hasAgenticContent($$props.message,toolMessages())),hasReasoning=user_derived(()=>!!$$props.message.reasoningContent),
+processingState=useProcessingState();let currentConfig=user_derived(config$1),isRouter=user_derived(isRouterMode),showRawOutput=state$1(!1),rawOutputContent=user_derived(()=>{const sections=deriveAgenticSections($$props.message,toolMessages(),[],!1),parts=[];for(const section of sections)switch(section.type){case AgenticSectionType.REASONING:case AgenticSectionType.REASONING_PENDING:parts.push(`${REASONING_TAGS.START}
+${section.content}
+${REASONING_TAGS.END}`);break;case AgenticSectionType.TEXT:parts.push(section.content);break;case AgenticSectionType.TOOL_CALL:case AgenticSectionType.TOOL_CALL_PENDING:case AgenticSectionType.TOOL_CALL_STREAMING:{const callObj={name:section.toolName};if(section.toolArgs)try{callObj.arguments=JSON.parse(section.toolArgs)}catch{callObj.arguments=section.toolArgs}parts.push(JSON.stringify(callObj,null,2)),section.toolResult&&parts.push(`[Tool Result]
+${section.toolResult}`);break}}return parts.join(`
+
+
+`)}),activeStatsView=state$1(proxy(ChatMessageStatsView.GENERATION)),statsContainerEl=state$1(void 0);function getScrollParent(el){let parent=el.parentElement;for(;parent;){const style2=getComputedStyle(parent);if(/(auto|scroll)/.test(style2.overflowY))return parent;parent=parent.parentElement}return null}async function handleStatsViewChange(view){const el=get$4(statsContainerEl);if(!el){set$1(activeStatsView,view,!0);return}const scrollParent=getScrollParent(el);if(!scrollParent){set$1(activeStatsView,
+view,!0);return}const yBefore=el.getBoundingClientRect().top;set$1(activeStatsView,view,!0),await tick();const delta=el.getBoundingClientRect().top-yBefore;delta!==0&&(scrollParent.scrollTop+=delta),requestAnimationFrame(()=>{const drift=el.getBoundingClientRect().top-yBefore;Math.abs(drift)>1&&(scrollParent.scrollTop+=drift)})}let highlightAgenticTurns=user_derived(()=>get$4(isAgentic)&&(get$4(currentConfig).alwaysShowAgenticTurns||get$4(activeStatsView)===ChatMessageStatsView.SUMMARY)),displayedModel=user_derived(
+()=>$$props.message.model??null),isCurrentlyLoading=user_derived(isLoading),isStreaming=user_derived(isChatStreaming),hasNoContent=user_derived(()=>!$$props.message?.content?.trim()),isActivelyProcessing=user_derived(()=>get$4(isCurrentlyLoading)||get$4(isStreaming)),showProcessingInfoTop=user_derived(()=>$$props.message?.role===MessageRole.ASSISTANT&&get$4(isActivelyProcessing)&&get$4(hasNoContent)&&!get$4(isAgentic)&&isLastAssistantMessage()),showProcessingInfoBottom=user_derived(()=>$$props.message?.
+role===MessageRole.ASSISTANT&&get$4(isActivelyProcessing)&&(!get$4(hasNoContent)||get$4(isAgentic))&&isLastAssistantMessage());function handleCopyModel(){copyToClipboard(get$4(displayedModel)??"")}user_effect(()=>{editCtx.isEditing&&textareaElement()&&autoResizeTextarea(textareaElement())}),user_effect(()=>{(get$4(showProcessingInfoTop)||get$4(showProcessingInfoBottom))&&processingState.startMonitoring()});var div=root$P(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$t(),div_2=child(
+div_1),span=child(div_2),text2=child(span,!0);reset(span),reset(div_2),reset(div_1),template_effect($0=>set_text(text2,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_1,()=>fade),append($$anchor2,div_1)};if_block(node2,$$render=>{get$4(showProcessingInfoTop)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_3=root_2$v(),textarea=child(div_3);remove_textarea_child(textarea),textarea.
+__keydown=handleEditKeydown,textarea.__input=e=>{autoResizeTextarea(e.currentTarget),editCtx.setContent(e.currentTarget.value)},bind_this(textarea,$$value=>textareaElement($$value),()=>textareaElement());var div_4=sibling(textarea,2),div_5=child(div_4),node_2=child(div_5);Checkbox(node_2,{id:"branch-after-edit",onCheckedChange:checked=>set$1(shouldBranchAfterEdit,checked===!0),get checked(){return get$4(shouldBranchAfterEdit)},set checked($$value){set$1(shouldBranchAfterEdit,$$value,!0)}});var node_3=sibling(
+node_2,2);Label(node_3,{for:"branch-after-edit",class:"cursor-pointer text-sm text-muted-foreground",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("Branch conversation after edit");append($$anchor3,text_1)},$$slots:{default:!0}}),reset(div_5);var div_6=sibling(div_5,2),node_4=child(div_6);Button(node_4,{class:"h-8 px-3",get onclick(){return editCtx.cancel},size:"sm",variant:"outline",children:($$anchor3,$$slotProps)=>{var fragment=root_4$d(),node_5=first_child(fragment);X(node_5,
+{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}});var node_6=sibling(node_4,2);{let $0=user_derived(()=>!editCtx.editedContent?.trim());Button(node_6,{class:"h-8 px-3",get onclick(){return editCtx.save},get disabled(){return get$4($0)},size:"sm",children:($$anchor3,$$slotProps)=>{var fragment_1=root_5$i(),node_7=first_child(fragment_1);Check(node_7,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_6),reset(div_4),reset(
+div_3),template_effect(()=>{set_value(textarea,editCtx.editedContent),set_class(textarea,1,`min-h-[50vh] w-full resize-y rounded-2xl px-3 py-2 text-sm ${INPUT_CLASSES??""}`,"svelte-14103tf")}),append($$anchor2,div_3)},alternate_2=$$anchor2=>{var fragment_2=comment$2(),node_8=first_child(fragment_2);{var consequent_3=$$anchor3=>{var fragment_3=comment$2(),node_9=first_child(fragment_3);{var consequent_2=$$anchor4=>{var pre=root_8$c(),text_2=child(pre,!0);reset(pre),template_effect(()=>set_text(text_2,
+get$4(rawOutputContent)||"")),append($$anchor4,pre)},alternate=$$anchor4=>{{let $0=user_derived(isChatStreaming);ChatMessageAgenticContent($$anchor4,{get message(){return $$props.message},get toolMessages(){return toolMessages()},get isStreaming(){return get$4($0)},get highlightTurns(){return get$4(highlightAgenticTurns)}})}};if_block(node_9,$$render=>{get$4(showRawOutput)?$$render(consequent_2):$$render(alternate,!1)})}append($$anchor3,fragment_3)},alternate_1=$$anchor3=>{var div_7=root_10$a(),
+text_3=child(div_7,!0);reset(div_7),template_effect(()=>set_text(text_3,$$props.messageContent)),append($$anchor3,div_7)};if_block(node_8,$$render=>{$$props.message.role===MessageRole.ASSISTANT?$$render(consequent_3):$$render(alternate_1,!1)},!0)}append($$anchor2,fragment_2)};if_block(node_1,$$render=>{editCtx.isEditing?$$render(consequent_1):$$render(alternate_2,!1)})}var node_10=sibling(node_1,2);{var consequent_4=$$anchor2=>{var div_8=root_11$5(),div_9=child(div_8),span_1=child(div_9),text_4=child(
+span_1,!0);reset(span_1),reset(div_9),reset(div_8),template_effect($0=>set_text(text_4,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_8,()=>fade),append($$anchor2,div_8)};if_block(node_10,$$render=>{get$4(showProcessingInfoBottom)&&$$render(consequent_4)})}var div_10=sibling(node_10,2),node_11=child(div_10);{var consequent_9=$$anchor2=>{var div_11=root_12$6(),node_12=child(div_11);{var consequent_5=$$anchor3=>{{let $0=user_derived(
+isLoading);ModelsSelector($$anchor3,{get currentModel(){return get$4(displayedModel)},get disabled(){return get$4($0)},onModelChange:async(modelId,modelName)=>(modelsStore.getModelStatus(modelId)!==ServerModelStatus.LOADED&&await modelsStore.loadModel(modelId),$$props.onRegenerate(modelName),!0)})}},alternate_3=$$anchor3=>{{let $0=user_derived(()=>get$4(displayedModel)||void 0);ModelBadge($$anchor3,{get model(){return get$4($0)},onclick:handleCopyModel})}};if_block(node_12,$$render=>{get$4(isRouter)?
+$$render(consequent_5):$$render(alternate_3,!1)})}var node_13=sibling(node_12,2);{var consequent_6=$$anchor3=>{const agentic=user_derived(()=>$$props.message.timings.agentic);{let $0=user_derived(()=>get$4(agentic)?get$4(agentic).llm.prompt_n:$$props.message.timings.prompt_n),$1=user_derived(()=>get$4(agentic)?get$4(agentic).llm.prompt_ms:$$props.message.timings.prompt_ms),$2=user_derived(()=>get$4(agentic)?get$4(agentic).llm.predicted_n:$$props.message.timings.predicted_n),$3=user_derived(()=>get$4(
+agentic)?get$4(agentic).llm.predicted_ms:$$props.message.timings.predicted_ms);ChatMessageStatistics($$anchor3,{get promptTokens(){return get$4($0)},get promptMs(){return get$4($1)},get predictedTokens(){return get$4($2)},get predictedMs(){return get$4($3)},get agenticTimings(){return get$4(agentic)},onActiveViewChange:handleStatsViewChange})}},alternate_4=$$anchor3=>{var fragment_8=comment$2(),node_14=first_child(fragment_8);{var consequent_8=$$anchor4=>{const liveStats=user_derived(()=>processingState.
+getLiveProcessingStats()),genStats=user_derived(()=>processingState.getLiveGenerationStats()),promptProgress=user_derived(()=>processingState.processingState?.promptProgress),isStillProcessingPrompt=user_derived(()=>get$4(promptProgress)&&get$4(promptProgress).processed<get$4(promptProgress).total);var fragment_9=comment$2(),node_15=first_child(fragment_9);{var consequent_7=$$anchor5=>{{let $0=user_derived(()=>!!get$4(isStillProcessingPrompt)),$1=user_derived(()=>get$4(liveStats)?.tokensProcessed),
+$2=user_derived(()=>get$4(liveStats)?.timeMs),$3=user_derived(()=>get$4(genStats)?.tokensGenerated),$4=user_derived(()=>get$4(genStats)?.timeMs);ChatMessageStatistics($$anchor5,{isLive:!0,get isProcessingPrompt(){return get$4($0)},get promptTokens(){return get$4($1)},get promptMs(){return get$4($2)},get predictedTokens(){return get$4($3)},get predictedMs(){return get$4($4)}})}};if_block(node_15,$$render=>{(get$4(liveStats)||get$4(genStats))&&$$render(consequent_7)})}append($$anchor4,fragment_9)};
+if_block(node_14,$$render=>{isLoading()&&get$4(currentConfig).showMessageStats&&$$render(consequent_8)},!0)}append($$anchor3,fragment_8)};if_block(node_13,$$render=>{get$4(currentConfig).showMessageStats&&$$props.message.timings&&$$props.message.timings.predicted_n&&$$props.message.timings.predicted_ms?$$render(consequent_6):$$render(alternate_4,!1)})}reset(div_11),bind_this(div_11,$$value=>set$1(statsContainerEl,$$value),()=>get$4(statsContainerEl)),append($$anchor2,div_11)};if_block(node_11,$$render=>{
+get$4(displayedModel)&&$$render(consequent_9)})}reset(div_10);var node_16=sibling(div_10,2);{var consequent_10=$$anchor2=>{{let $0=user_derived(()=>get$4(currentConfig).enableContinueGeneration&&!get$4(hasReasoning)?$$props.onContinue:void 0);ChatMessageActions($$anchor2,{get role(){return MessageRole.ASSISTANT},justify:"start",actionsPosition:"left",get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get deletionInfo(){return $$props.deletionInfo},get onCopy(){
+return $$props.onCopy},get onEdit(){return $$props.onEdit},get onRegenerate(){return $$props.onRegenerate},get onContinue(){return get$4($0)},get onForkConversation(){return $$props.onForkConversation},get onDelete(){return $$props.onDelete},get onConfirmDelete(){return $$props.onConfirmDelete},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get showRawOutputSwitch(){return get$4(currentConfig).showRawOutputSwitch},
+get rawOutputEnabled(){return get$4(showRawOutput)},onRawOutputToggle:enabled=>set$1(showRawOutput,enabled,!0)})}};if_block(node_16,$$render=>{$$props.message.timestamp&&!editCtx.isEditing&&$$render(consequent_10)})}reset(div),template_effect(()=>set_class(div,1,`text-md group w-full leading-7.5 ${className()??""}`,"svelte-14103tf")),append($$anchor,div),pop()}delegate(["keydown","input"]);class AutoScrollController{#_autoScrollEnabled=state$1(!0);get _autoScrollEnabled(){return get$4(this.#_autoScrollEnabled)}set _autoScrollEnabled(value){
+set$1(this.#_autoScrollEnabled,value,!0)}#_userScrolledUp=state$1(!1);get _userScrolledUp(){return get$4(this.#_userScrolledUp)}set _userScrolledUp(value){set$1(this.#_userScrolledUp,value,!0)}#_lastScrollTop=state$1(0);get _lastScrollTop(){return get$4(this.#_lastScrollTop)}set _lastScrollTop(value){set$1(this.#_lastScrollTop,value,!0)}_scrollInterval;_scrollTimeout;_container;_disabled;_isColumnReverse;_mutationObserver=null;_rafPending=!1;_observerEnabled=!1;constructor(options={}){this._disabled=
+options.disabled??!1,this._isColumnReverse=options.isColumnReverse??!1}get autoScrollEnabled(){return this._autoScrollEnabled}get userScrolledUp(){return this._userScrolledUp}setContainer(container2){this._doStopObserving(),this._container=container2,this._observerEnabled&&container2&&!this._disabled&&this._doStartObserving()}setDisabled(disabled){this._disabled=disabled,disabled?(this._autoScrollEnabled=!1,this.stopInterval(),this._doStopObserving()):this._observerEnabled&&this._container&&!this.
+_mutationObserver&&this._doStartObserving()}handleScroll(){if(this._disabled||!this._container)return;const{scrollTop,scrollHeight,clientHeight}=this._container;let distanceFromBottom,isScrollingUp;this._isColumnReverse?(distanceFromBottom=Math.abs(scrollTop),isScrollingUp=scrollTop<this._lastScrollTop):(distanceFromBottom=scrollHeight-clientHeight-scrollTop,isScrollingUp=scrollTop<this._lastScrollTop);const isAtBottom=distanceFromBottom<AUTO_SCROLL_AT_BOTTOM_THRESHOLD;isScrollingUp&&!isAtBottom?
+(this._userScrolledUp=!0,this._autoScrollEnabled=!1):isAtBottom&&this._userScrolledUp&&(this._userScrolledUp=!1,this._autoScrollEnabled=!0),this._scrollTimeout&&clearTimeout(this._scrollTimeout),this._scrollTimeout=setTimeout(()=>{isAtBottom&&(this._userScrolledUp=!1,this._autoScrollEnabled=!0)},AUTO_SCROLL_INTERVAL),this._lastScrollTop=scrollTop}scrollToBottom(behavior="smooth"){this._disabled||!this._container||(this._isColumnReverse?this._container.scrollTo({top:0,behavior}):this._container.scrollTo(
+{top:this._container.scrollHeight,behavior}))}enable(){this._disabled||(this._userScrolledUp=!1,this._autoScrollEnabled=!0)}startInterval(){this._disabled||this._scrollInterval||(this._scrollInterval=setInterval(()=>{this.scrollToBottom()},AUTO_SCROLL_INTERVAL))}stopInterval(){this._scrollInterval&&(clearInterval(this._scrollInterval),this._scrollInterval=void 0)}updateInterval(isStreaming){if(this._disabled){this.stopInterval();return}isStreaming&&this._autoScrollEnabled?this._scrollInterval||this.
+startInterval():this.stopInterval()}destroy(){this.stopInterval(),this._doStopObserving(),this._scrollTimeout&&(clearTimeout(this._scrollTimeout),this._scrollTimeout=void 0)}startObserving(){this._observerEnabled=!0,this._container&&!this._disabled&&!this._mutationObserver&&this._doStartObserving()}stopObserving(){this._observerEnabled=!1,this._doStopObserving()}_doStartObserving(){if(!this._container||this._mutationObserver)return;const isReverse=this._isColumnReverse;this._mutationObserver=new MutationObserver(
+()=>{!this._autoScrollEnabled||this._rafPending||(this._rafPending=!0,requestAnimationFrame(()=>{this._rafPending=!1,this._autoScrollEnabled&&this._container&&(isReverse?this._container.scrollTop=0:this._container.scrollTop=this._container.scrollHeight)}))}),this._mutationObserver.observe(this._container,{childList:!0,subtree:!0,characterData:!0})}_doStopObserving(){this._mutationObserver&&(this._mutationObserver.disconnect(),this._mutationObserver=null),this._rafPending=!1}}function createAutoScrollController(options={}){
+return new AutoScrollController(options)}var root$O=from_html('<div class="pointer-events-none fixed inset-0 z-50 flex items-center justify-center bg-black/50 backdrop-blur-sm"><div class="flex flex-col items-center justify-center rounded-2xl border-2 border-dashed border-border bg-background p-12 shadow-lg"><!> <p class="text-lg font-medium text-foreground">Attach a file</p> <p class="text-sm text-muted-foreground">Drop your files here to upload</p></div></div>');function ChatScreenDragOverlay($$anchor){
+var div=root$O(),div_1=child(div),node2=child(div_1);Upload(node2,{class:"mb-4 h-12 w-12 text-muted-foreground"}),next$1(4),reset(div_1),reset(div),append($$anchor,div)}var root_5$h=from_html('<span>Server unavailable</span> <button class="flex items-center gap-1.5 rounded-lg bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50"><!> </button>',1),root_4$c=from_html("<!> <!> <!>",1),root_3$o=from_html('<div class="pointer-events-auto mx-auto mb-4 max-w-[48re\
+m] px-1"><!></div>'),root_2$u=from_html('<div aria-label="Chat interface with file drop zone" class="flex h-full flex-col-reverse overflow-y-auto px-4 md:px-6" role="main"><div class="flex flex-col"><!> <div class="pointer-events-none sticky right-0 bottom-4 left-0 mt-auto"><!> <!> <div class="conversation-chat-form pointer-events-auto rounded-t-3xl svelte-lwk0qk"><!></div></div></div></div>'),root_12$5=from_html('<span>Server unavailable</span> <button class="flex items-center gap-1.5 rounded-l\
+g bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50"><!> </button>',1),root_11$4=from_html("<!> <!> <!>",1),root_10$9=from_html('<div class="mb-4"><!></div>'),root_9$c=from_html('<div aria-label="Welcome screen with file drop zone" class="flex h-full items-center justify-center" role="main"><div class="w-full max-w-[48rem] px-4"><div class="mb-10 text-center"><h1 class="mb-2 text-2xl font-semibold tracking-tight md:text-3xl">llama.cpp</h1> <p class="text\
+-muted-foreground md:text-lg"> </p></div> <!> <div><!></div></div></div>'),root_17$2=from_html("<!> <!>",1),root_21$3=from_html('<div class="rounded-md bg-destructive/10 px-3 py-2"><p class="font-mono text-sm break-all text-destructive"> </p> <p class="mt-1 text-xs text-muted-foreground">File type not supported</p></div>'),root_20$4=from_html('<div class="space-y-2"><h4 class="text-sm font-medium text-destructive">Unsupported File Types</h4> <div class="space-y-1"></div></div>'),root_23$2=from_html(
+'<div class="rounded-md bg-destructive/10 px-3 py-2"><p class="font-mono text-sm break-all text-destructive"> </p> <p class="mt-1 text-xs text-muted-foreground"> </p></div>'),root_22$3=from_html('<div class="space-y-2"><div class="space-y-1"></div></div>'),root_16$3=from_html('<!> <div class="!max-h-[50vh] min-h-0 flex-1 space-y-4 overflow-y-auto"><!> <!></div> <div class="rounded-md bg-muted/50 p-3"><h4 class="mb-2 text-sm font-medium">This model supports:</h4> <p class="text-sm text-muted-fore\
+ground"> </p></div> <!>',1),root_15$2=from_html("<!> <!>",1),root$N=from_html("<!> <!> <!> <!> <!> <!> <!>",1);function ChatScreen($$anchor,$$props){push$1($$props,!0);let showCenteredEmpty=prop($$props,"showCenteredEmpty",3,!1),disableAutoScroll=user_derived(()=>!!config$1().disableAutoScroll),chatScrollContainer=state$1(void 0),dragCounter=state$1(0),isDragOver=state$1(!1),showFileErrorDialog=state$1(!1),uploadedFiles=state$1(proxy([]));const autoScroll=createAutoScrollController({isColumnReverse:!0});
+let fileErrorData=state$1(proxy({generallyUnsupported:[],modalityUnsupported:[],modalityReasons:{},supportedTypes:[]})),showDeleteDialog=state$1(!1),showEmptyFileDialog=state$1(!1),emptyFileNames=state$1(proxy([])),initialMessage=state$1(""),isEmpty=user_derived(()=>showCenteredEmpty()&&!activeConversation()&&activeMessages().length===0&&!isLoading()),activeErrorDialog=user_derived(errorDialog),isServerLoading=user_derived(serverLoading),hasPropsError=user_derived(()=>!!serverError()),isCurrentConversationLoading=user_derived(
+()=>isLoading()||isChatStreaming()),isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$4(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$4(conversationModel)){const model=options.find(m=>m.model===get$4(conversationModel));
+if(model)return model.model}return null}),modelPropsVersion=state$1(0);user_effect(()=>{get$4(activeModelId)&&(modelsStore.getModelProps(get$4(activeModelId))||modelsStore.fetchModelProps(get$4(activeModelId)).then(()=>{update$1(modelPropsVersion)}))});let hasAudioModality=user_derived(()=>get$4(activeModelId)?(get$4(modelPropsVersion),modelsStore.modelSupportsAudio(get$4(activeModelId))):!1),hasVisionModality=user_derived(()=>get$4(activeModelId)?(get$4(modelPropsVersion),modelsStore.modelSupportsVision(
+get$4(activeModelId))):!1);async function handleDeleteConfirm(){const conversation=activeConversation();conversation&&await conversationsStore.deleteConversation(conversation.id),set$1(showDeleteDialog,!1)}function handleDragEnter(event2){event2.preventDefault(),update$1(dragCounter),event2.dataTransfer?.types.includes("Files")&&set$1(isDragOver,!0)}function handleDragLeave(event2){event2.preventDefault(),update$1(dragCounter,-1),get$4(dragCounter)===0&&set$1(isDragOver,!1)}function handleErrorDialogOpenChange(open2){
+open2||chatStore.dismissErrorDialog()}function handleDragOver(event2){event2.preventDefault()}function handleDrop(event2){if(event2.preventDefault(),set$1(isDragOver,!1),set$1(dragCounter,0),event2.dataTransfer?.files){const files=Array.from(event2.dataTransfer.files);if(isEditing()){const handler=getAddFilesHandler();if(handler){handler(files);return}}processFiles(files)}}function handleFileRemove(fileId){set$1(uploadedFiles,get$4(uploadedFiles).filter(f=>f.id!==fileId),!0)}function handleFileUpload(files){
+processFiles(files)}function handleKeydown(event2){(event2.ctrlKey||event2.metaKey)&&event2.shiftKey&&(event2.key===KeyboardKey.D_LOWER||event2.key===KeyboardKey.D_UPPER)&&(event2.preventDefault(),activeConversation()&&set$1(showDeleteDialog,!0))}async function handleSystemPromptAdd(draft){(draft.message||draft.files.length>0)&&chatStore.savePendingDraft(draft.message,draft.files),await chatStore.addSystemPrompt()}function handleScroll(){autoScroll.handleScroll()}async function handleSendMessage(message,files){
+const plainFiles=files?snapshot(files):void 0,result=plainFiles?await parseFilesToMessageExtras(plainFiles,get$4(activeModelId)??void 0):void 0;if(result?.emptyFiles&&result.emptyFiles.length>0){if(set$1(emptyFileNames,result.emptyFiles,!0),set$1(showEmptyFileDialog,!0),files){const emptyFileNamesSet=new Set(result.emptyFiles);set$1(uploadedFiles,get$4(uploadedFiles).filter(file=>!emptyFileNamesSet.has(file.name)),!0)}return!1}const extras=result?.extras;return autoScroll.enable(),await chatStore.
+sendMessage(message,extras),autoScroll.scrollToBottom(),!0}async function processFiles(files){const generallySupported=[],generallyUnsupported=[];for(const file of files)isFileTypeSupported(file.name,file.type)?generallySupported.push(file):generallyUnsupported.push(file);const capabilities={hasVision:get$4(hasVisionModality),hasAudio:get$4(hasAudioModality)},{supportedFiles,unsupportedFiles,modalityReasons}=filterFilesByModalities(generallySupported,capabilities);if([...generallyUnsupported,...unsupportedFiles].
+length>0){const supportedTypes=["text files","PDFs"];get$4(hasVisionModality)&&supportedTypes.push("images"),get$4(hasAudioModality)&&supportedTypes.push("audio files"),set$1(fileErrorData,{generallyUnsupported,modalityUnsupported:unsupportedFiles,modalityReasons,supportedTypes},!0),set$1(showFileErrorDialog,!0)}if(supportedFiles.length>0){const processed=await processFilesToChatUploaded(supportedFiles,get$4(activeModelId)??void 0);set$1(uploadedFiles,[...get$4(uploadedFiles),...processed],!0)}}
+afterNavigate(()=>{get$4(disableAutoScroll)||autoScroll.enable()}),onMount$1(()=>{autoScroll.startObserving(),get$4(disableAutoScroll)||autoScroll.enable();const pendingDraft=chatStore.consumePendingDraft();pendingDraft&&(set$1(initialMessage,pendingDraft.message,!0),set$1(uploadedFiles,pendingDraft.files,!0))}),user_effect(()=>{autoScroll.setContainer(get$4(chatScrollContainer))}),user_effect(()=>{autoScroll.setDisabled(get$4(disableAutoScroll))});var fragment=root$N();event("keydown",$window,handleKeydown);
+var node2=first_child(fragment);{var consequent=$$anchor2=>{ChatScreenDragOverlay($$anchor2)};if_block(node2,$$render=>{get$4(isDragOver)&&$$render(consequent)})}var node_1=sibling(node2,2);ChatScreenHeader(node_1,{});var node_2=sibling(node_1,2);{var consequent_2=$$anchor2=>{var div=root_2$u(),div_1=child(div),node_3=child(div_1);{let $0=user_derived(activeMessages);ChatMessages(node_3,{class:"mb-16 md:mb-24",get messages(){return get$4($0)},onUserAction:()=>{autoScroll.enable(),autoScroll.scrollToBottom()}})}
+var div_2=sibling(node_3,2),node_4=child(div_2);ChatScreenProcessingInfo(node_4,{});var node_5=sibling(node_4,2);{var consequent_1=$$anchor3=>{var div_3=root_3$o(),node_6=child(div_3);component(node_6,()=>Alert,($$anchor4,Alert_Root)=>{Alert_Root($$anchor4,{variant:"destructive",children:($$anchor5,$$slotProps)=>{var fragment_2=root_4$c(),node_7=first_child(fragment_2);Triangle_alert(node_7,{class:"h-4 w-4"});var node_8=sibling(node_7,2);component(node_8,()=>Alert_title,($$anchor6,Alert_Title)=>{
+Alert_Title($$anchor6,{class:"flex items-center justify-between",children:($$anchor7,$$slotProps2)=>{var fragment_3=root_5$h(),button=sibling(first_child(fragment_3),2);button.__click=()=>serverStore.fetch();var node_9=child(button);{let $0=user_derived(()=>get$4(isServerLoading)?"animate-spin":"");Refresh_cw(node_9,{get class(){return`h-3 w-3 ${get$4($0)??""}`}})}var text2=sibling(node_9);reset(button),template_effect(()=>{button.disabled=get$4(isServerLoading),set_text(text2,` ${get$4(isServerLoading)?
+"Retrying...":"Retry"}`)}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_10=sibling(node_8,2);component(node_10,()=>Alert_description,($$anchor6,Alert_Description)=>{Alert_Description($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text_1=text$8();template_effect($0=>set_text(text_1,$0),[serverError]),append($$anchor7,text_1)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),reset(div_3),transition(1,div_3,()=>fly,()=>({y:10,duration:250})),
+append($$anchor3,div_3)};if_block(node_5,$$render=>{get$4(hasPropsError)&&$$render(consequent_1)})}var div_4=sibling(node_5,2),node_11=child(div_4);{let $0=user_derived(()=>get$4(hasPropsError)||isEditing());ChatScreenForm(node_11,{get disabled(){return get$4($0)},get initialMessage(){return get$4(initialMessage)},get isLoading(){return get$4(isCurrentConversationLoading)},onFileRemove:handleFileRemove,onFileUpload:handleFileUpload,onSend:handleSendMessage,onStop:()=>chatStore.stopGeneration(),onSystemPromptAdd:handleSystemPromptAdd,
+showHelperText:!1,get uploadedFiles(){return get$4(uploadedFiles)},set uploadedFiles($$value){set$1(uploadedFiles,$$value,!0)}})}reset(div_4),reset(div_2),reset(div_1),reset(div),bind_this(div,$$value=>set$1(chatScrollContainer,$$value),()=>get$4(chatScrollContainer)),event("dragenter",div,handleDragEnter),event("dragleave",div,handleDragLeave),event("dragover",div,handleDragOver),event("drop",div,handleDrop),event("scroll",div,handleScroll),transition(1,div_2,()=>slide,()=>({duration:150,axis:"\
+y"})),append($$anchor2,div)},alternate_1=$$anchor2=>{var fragment_5=comment$2(),node_12=first_child(fragment_5);{var consequent_3=$$anchor3=>{ServerLoadingSplash($$anchor3,{})},alternate=$$anchor3=>{var div_5=root_9$c(),div_6=child(div_5),div_7=child(div_6),p2=sibling(child(div_7),2),text_2=child(p2);reset(p2),reset(div_7);var node_13=sibling(div_7,2);{var consequent_4=$$anchor4=>{var div_8=root_10$9(),node_14=child(div_8);component(node_14,()=>Alert,($$anchor5,Alert_Root_1)=>{Alert_Root_1($$anchor5,
+{variant:"destructive",children:($$anchor6,$$slotProps)=>{var fragment_7=root_11$4(),node_15=first_child(fragment_7);Triangle_alert(node_15,{class:"h-4 w-4"});var node_16=sibling(node_15,2);component(node_16,()=>Alert_title,($$anchor7,Alert_Title_1)=>{Alert_Title_1($$anchor7,{class:"flex items-center justify-between",children:($$anchor8,$$slotProps2)=>{var fragment_8=root_12$5(),button_1=sibling(first_child(fragment_8),2);button_1.__click=()=>serverStore.fetch();var node_17=child(button_1);{let $0=user_derived(
+()=>get$4(isServerLoading)?"animate-spin":"");Refresh_cw(node_17,{get class(){return`h-3 w-3 ${get$4($0)??""}`}})}var text_3=sibling(node_17);reset(button_1),template_effect(()=>{button_1.disabled=get$4(isServerLoading),set_text(text_3,` ${get$4(isServerLoading)?"Retrying...":"Retry"}`)}),append($$anchor8,fragment_8)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Alert_description,($$anchor7,Alert_Description_1)=>{Alert_Description_1($$anchor7,{children:($$anchor8,$$slotProps2)=>{
+next$1();var text_4=text$8();template_effect($0=>set_text(text_4,$0),[serverError]),append($$anchor8,text_4)},$$slots:{default:!0}})}),append($$anchor6,fragment_7)},$$slots:{default:!0}})}),reset(div_8),transition(1,div_8,()=>fly,()=>({y:10,duration:250})),append($$anchor4,div_8)};if_block(node_13,$$render=>{get$4(hasPropsError)&&$$render(consequent_4)})}var div_9=sibling(node_13,2),node_19=child(div_9);ChatScreenForm(node_19,{get disabled(){return get$4(hasPropsError)},get initialMessage(){return get$4(
+initialMessage)},get isLoading(){return get$4(isCurrentConversationLoading)},onFileRemove:handleFileRemove,onFileUpload:handleFileUpload,onSend:handleSendMessage,onStop:()=>chatStore.stopGeneration(),onSystemPromptAdd:handleSystemPromptAdd,showHelperText:!0,get uploadedFiles(){return get$4(uploadedFiles)},set uploadedFiles($$value){set$1(uploadedFiles,$$value,!0)}}),reset(div_9),reset(div_6),reset(div_5),template_effect(()=>set_text(text_2,`${serverStore.props?.modalities?.audio?"Record audio, t\
+ype a message ":"Type a message"} or upload files to get started`)),event("dragenter",div_5,handleDragEnter),event("dragleave",div_5,handleDragLeave),event("dragover",div_5,handleDragOver),event("drop",div_5,handleDrop),transition(1,div_7,()=>fade,()=>({duration:300})),transition(1,div_9,()=>fly,()=>({y:10,duration:250,delay:get$4(hasPropsError)?0:300})),append($$anchor3,div_5)};if_block(node_12,$$render=>{get$4(isServerLoading)?$$render(consequent_3):$$render(alternate,!1)},!0)}append($$anchor2,
+fragment_5)};if_block(node_2,$$render=>{get$4(isEmpty)?$$render(alternate_1,!1):$$render(consequent_2)})}var node_20=sibling(node_2,2);component(node_20,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return get$4(showFileErrorDialog)},set open($$value){set$1(showFileErrorDialog,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_10=comment$2(),node_21=first_child(fragment_10);component(node_21,()=>Portal,($$anchor4,AlertDialog_Portal)=>{AlertDialog_Portal(
+$$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_11=root_15$2(),node_22=first_child(fragment_11);component(node_22,()=>Alert_dialog_overlay,($$anchor6,AlertDialog_Overlay)=>{AlertDialog_Overlay($$anchor6,{})});var node_23=sibling(node_22,2);component(node_23,()=>Alert_dialog_content,($$anchor6,AlertDialog_Content)=>{AlertDialog_Content($$anchor6,{class:"flex max-w-md flex-col",children:($$anchor7,$$slotProps3)=>{var fragment_12=root_16$3(),node_24=first_child(fragment_12);component(node_24,
+()=>Alert_dialog_header,($$anchor8,AlertDialog_Header)=>{AlertDialog_Header($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_13=root_17$2(),node_25=first_child(fragment_13);component(node_25,()=>Alert_dialog_title,($$anchor10,AlertDialog_Title)=>{AlertDialog_Title($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text_5=text$8("File Upload Error");append($$anchor11,text_5)},$$slots:{default:!0}})});var node_26=sibling(node_25,2);component(node_26,()=>Alert_dialog_description,
+($$anchor10,AlertDialog_Description)=>{AlertDialog_Description($$anchor10,{class:"text-sm text-muted-foreground",children:($$anchor11,$$slotProps5)=>{next$1();var text_6=text$8("Some files cannot be uploaded with the current model.");append($$anchor11,text_6)},$$slots:{default:!0}})}),append($$anchor9,fragment_13)},$$slots:{default:!0}})});var div_10=sibling(node_24,2),node_27=child(div_10);{var consequent_5=$$anchor8=>{var div_11=root_20$4(),div_12=sibling(child(div_11),2);each(div_12,21,()=>get$4(
+fileErrorData).generallyUnsupported,file=>file.name,($$anchor9,file)=>{var div_13=root_21$3(),p_1=child(div_13),text_7=child(p_1,!0);reset(p_1),next$1(2),reset(div_13),template_effect(()=>set_text(text_7,get$4(file).name)),append($$anchor9,div_13)}),reset(div_12),reset(div_11),append($$anchor8,div_11)};if_block(node_27,$$render=>{get$4(fileErrorData).generallyUnsupported.length>0&&$$render(consequent_5)})}var node_28=sibling(node_27,2);{var consequent_6=$$anchor8=>{var div_14=root_22$3(),div_15=child(
+div_14);each(div_15,21,()=>get$4(fileErrorData).modalityUnsupported,file=>file.name,($$anchor9,file)=>{var div_16=root_23$2(),p_2=child(div_16),text_8=child(p_2,!0);reset(p_2);var p_3=sibling(p_2,2),text_9=child(p_3,!0);reset(p_3),reset(div_16),template_effect(()=>{set_text(text_8,get$4(file).name),set_text(text_9,get$4(fileErrorData).modalityReasons[get$4(file).name]||"Not supported by current model")}),append($$anchor9,div_16)}),reset(div_15),reset(div_14),append($$anchor8,div_14)};if_block(node_28,
+$$render=>{get$4(fileErrorData).modalityUnsupported.length>0&&$$render(consequent_6)})}reset(div_10);var div_17=sibling(div_10,2),p_4=sibling(child(div_17),2),text_10=child(p_4,!0);reset(p_4),reset(div_17);var node_29=sibling(div_17,2);component(node_29,()=>Alert_dialog_footer,($$anchor8,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_14=comment$2(),node_30=first_child(fragment_14);component(node_30,()=>Alert_dialog_action,($$anchor10,AlertDialog_Action)=>{
+AlertDialog_Action($$anchor10,{onclick:()=>set$1(showFileErrorDialog,!1),children:($$anchor11,$$slotProps5)=>{next$1();var text_11=text$8("Got it");append($$anchor11,text_11)},$$slots:{default:!0}})}),append($$anchor9,fragment_14)},$$slots:{default:!0}})}),template_effect($0=>set_text(text_10,$0),[()=>get$4(fileErrorData).supportedTypes.join(", ")]),append($$anchor7,fragment_12)},$$slots:{default:!0}})}),append($$anchor5,fragment_11)},$$slots:{default:!0}})}),append($$anchor3,fragment_10)},$$slots:{
+default:!0}})});var node_31=sibling(node_20,2);DialogConfirmation(node_31,{title:"Delete Conversation",description:"Are you sure you want to delete this conversation? This action cannot be undone and will permanently remove all messages in this conversation.",confirmText:"Delete",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleDeleteConfirm,onCancel:()=>set$1(showDeleteDialog,!1),get open(){return get$4(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,
+$$value,!0)}});var node_32=sibling(node_31,2);DialogEmptyFileAlert(node_32,{get emptyFiles(){return get$4(emptyFileNames)},onOpenChange:open2=>{open2||set$1(emptyFileNames,[],!0)},get open(){return get$4(showEmptyFileDialog)},set open($$value){set$1(showEmptyFileDialog,$$value,!0)}});var node_33=sibling(node_32,2);{let $0=user_derived(()=>get$4(activeErrorDialog)?.message??""),$1=user_derived(()=>get$4(activeErrorDialog)?.contextInfo),$2=user_derived(()=>!!get$4(activeErrorDialog)),$3=user_derived(
+()=>get$4(activeErrorDialog)?.type??ErrorDialogType.SERVER);DialogChatError(node_33,{get message(){return get$4($0)},get contextInfo(){return get$4($1)},onOpenChange:handleErrorDialogOpenChange,get open(){return get$4($2)},get type(){return get$4($3)}})}append($$anchor,fragment),pop()}delegate(["click"]);var root$M=from_html('<div class="relative mx-auto max-w-[48rem]"><!></div> <!>',1);function ChatScreenForm($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),initialMessage=prop(
+$$props,"initialMessage",3,""),isLoading2=prop($$props,"isLoading",3,!1),showHelperText=prop($$props,"showHelperText",3,!0),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),chatFormRef=state$1(void 0),message=user_derived(initialMessage),previousIsLoading=user_derived(isLoading2),previousInitialMessage=user_derived(initialMessage);user_effect(()=>{initialMessage()!==get$4(previousInitialMessage)&&(set$1(message,initialMessage()),set$1(previousInitialMessage,initialMessage()))});function handleSystemPromptClick(){
+$$props.onSystemPromptAdd?.({message:get$4(message),files:uploadedFiles()})}let hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading));async function handleSubmit(){if(!get$4(message).trim()&&uploadedFiles().length===0||disabled()||isLoading2()||get$4(hasLoadingAttachments)||!get$4(chatFormRef)?.checkModelSelected())return;const messageToSend=get$4(message).trim(),filesToSend=[...uploadedFiles()];set$1(message,""),uploadedFiles([]),get$4(chatFormRef)?.resetTextareaHeight(),
+await $$props.onSend?.(messageToSend,filesToSend)||(set$1(message,messageToSend),uploadedFiles(filesToSend))}function handleFilesAdd(files){$$props.onFileUpload?.(files)}function handleUploadedFileRemove(fileId){$$props.onFileRemove?.(fileId)}onMount$1(()=>{setTimeout(()=>get$4(chatFormRef)?.focus(),10)}),afterNavigate(()=>{setTimeout(()=>get$4(chatFormRef)?.focus(),10)}),user_effect(()=>{get$4(previousIsLoading)&&!isLoading2()&&setTimeout(()=>get$4(chatFormRef)?.focus(),10),set$1(previousIsLoading,
+isLoading2())});var fragment=root$M(),div=first_child(fragment),node2=child(div);bind_this(ChatForm(node2,{get class(){return $$props.class},get disabled(){return disabled()},get isLoading(){return isLoading2()},showMcpPromptButton:!0,onFilesAdd:handleFilesAdd,get onStop(){return $$props.onStop},onSubmit:handleSubmit,onSystemPromptClick:handleSystemPromptClick,onUploadedFileRemove:handleUploadedFileRemove,get value(){return get$4(message)},set value($$value){set$1(message,$$value)},get uploadedFiles(){
+return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}}),$$value=>set$1(chatFormRef,$$value,!0),()=>get$4(chatFormRef)),reset(div);var node_1=sibling(div,2);ChatFormHelperText(node_1,{get show(){return showHelperText()}}),append($$anchor,fragment),pop()}const SIDEBAR_COOKIE_NAME="sidebar:state",SIDEBAR_COOKIE_MAX_AGE=3600*24*7,SIDEBAR_WIDTH="18rem",SIDEBAR_WIDTH_MOBILE="18rem",SIDEBAR_WIDTH_ICON="3rem",SIDEBAR_KEYBOARD_SHORTCUT="b";class SidebarState{props;#open=user_derived(
+()=>this.props.open());get open(){return get$4(this.#open)}set open(value){set$1(this.#open,value)}#openMobile=state$1(!1);get openMobile(){return get$4(this.#openMobile)}set openMobile(value){set$1(this.#openMobile,value,!0)}setOpen;#isMobile;#state=user_derived(()=>this.open?"expanded":"collapsed");get state(){return get$4(this.#state)}set state(value){set$1(this.#state,value)}constructor(props){this.setOpen=props.setOpen,this.#isMobile=new IsMobile,this.props=props}get isMobile(){return this.#isMobile.
+current}handleShortcutKeydown=e=>{e.key===SIDEBAR_KEYBOARD_SHORTCUT&&(e.metaKey||e.ctrlKey)&&(e.preventDefault(),this.toggle())};setOpenMobile=value=>{this.openMobile=value};toggle=()=>this.#isMobile.current?this.openMobile=!this.openMobile:this.setOpen(!this.open)}const SYMBOL_KEY="scn-sidebar";function setSidebar(props){return setContext(Symbol.for(SYMBOL_KEY),new SidebarState(props))}function useSidebar(){return getContext(Symbol.for(SYMBOL_KEY))}var root$L=from_html("<div><!></div>");function Sidebar_group_content($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$L();attribute_effect(div,$0=>({"data-slot":"sidebar-group-content","data-sidebar":"group-content",class:$0,...restProps}),[()=>cn$1("w-full text-sm",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_2$t=from_html("\
+<div><!></div>");function Sidebar_group_label($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","children","child","class"]);const mergedProps=user_derived(()=>({class:cn$1("text-sidebar-foreground/70 ring-sidebar-ring outline-hidden flex h-8 shrink-0 items-center rounded-md px-2 text-xs font-medium transition-[margin,opacity] duration-200 ease-linear focus-visible:ring-2 [&>svg]:size-4 [&>svg]:shrink-0",
+"group-data-[collapsible=icon]:-mt-8 group-data-[collapsible=icon]:opacity-0",$$props.class),"data-slot":"sidebar-group-label","data-sidebar":"group-label",...restProps}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$4(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$t();attribute_effect(div,()=>({...get$4(mergedProps)}));
+var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root$K=from_html("<div><!></div>");function Sidebar_group($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$K();
+attribute_effect(div,$0=>({"data-slot":"sidebar-group","data-sidebar":"group",class:$0,...restProps}),[()=>cn$1("relative flex w-full min-w-0 flex-col p-2",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$J=from_html("<div><!></div>");function Sidebar_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots",
+"$$events","$$legacy","ref","class","children"]);var div=root$J();attribute_effect(div,$0=>({"data-slot":"sidebar-header","data-sidebar":"header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 p-2",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$I=from_html("<main><!></main>");function Sidebar_inset($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"r\
+ef",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var main2=root$I();attribute_effect(main2,$0=>({"data-slot":"sidebar-inset",class:$0,...restProps}),[()=>cn$1("relative flex w-full flex-1 flex-col","md:peer-data-[variant=inset]:m-2 md:peer-data-[variant=inset]:ml-0 md:peer-data-[variant=inset]:rounded-xl md:peer-data-[variant=inset]:shadow-sm md:peer-data-[variant=inset]:peer-data-[state=collapsed]:ml-2",$$props.class)]);var node2=child(main2);
+snippet(node2,()=>$$props.children??noop$3),reset(main2),bind_this(main2,$$value=>ref2($$value),()=>ref2()),append($$anchor,main2),pop()}tv({base:"peer/menu-button outline-hidden ring-sidebar-ring hover:bg-sidebar-accent hover:text-sidebar-accent-foreground active:bg-sidebar-accent active:text-sidebar-accent-foreground group-has-data-[sidebar=menu-action]/menu-item:pr-8 data-[active=true]:bg-sidebar-accent data-[active=true]:text-sidebar-accent-foreground data-[state=open]:hover:bg-sidebar-accen\
+t data-[state=open]:hover:text-sidebar-accent-foreground group-data-[collapsible=icon]:size-8! group-data-[collapsible=icon]:p-2! flex w-full items-center gap-2 overflow-hidden rounded-md p-2 text-left text-sm transition-[width,height,padding] focus-visible:ring-2 disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 data-[active=true]:font-medium [&>span:last-child]:truncate [&>svg]:size-4 [&>svg]:shrink-0",variants:{variant:{default:"hover:\
+bg-sidebar-accent hover:text-sidebar-accent-foreground",outline:"bg-background hover:bg-sidebar-accent hover:text-sidebar-accent-foreground shadow-[0_0_0_1px_var(--sidebar-border)] hover:shadow-[0_0_0_1px_var(--sidebar-accent)]"},size:{default:"h-8 text-sm",sm:"h-7 text-xs",lg:"group-data-[collapsible=icon]:p-0! h-12 text-sm"}},defaultVariants:{variant:"default",size:"default"}});var root$H=from_html("<li><!></li>");function Sidebar_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,
+"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var li2=root$H();attribute_effect(li2,$0=>({"data-slot":"sidebar-menu-item","data-sidebar":"menu-item",class:$0,...restProps}),[()=>cn$1("group/menu-item relative",$$props.class)]);var node2=child(li2);snippet(node2,()=>$$props.children??noop$3),reset(li2),bind_this(li2,$$value=>ref2($$value),()=>ref2()),append($$anchor,li2),pop()}var root$G=from_html("<div></div>");function Skeleton($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var div=root$G();attribute_effect(div,$0=>({"data-slot":"skeleton",class:$0,...restProps}),[()=>cn$1("animate-pulse rounded-md bg-accent",$$props.class)]),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$F=from_html("<ul><!></ul>");function Sidebar_menu($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class","children"]);var ul=root$F();attribute_effect(ul,$0=>({"data-slot":"sidebar-menu","data-sidebar":"menu",class:$0,...restProps}),[()=>cn$1("flex w-full min-w-0 flex-col gap-1",$$props.class)]);var node2=child(ul);snippet(node2,()=>$$props.children??noop$3),reset(ul),bind_this(ul,$$value=>ref2($$value),()=>ref2()),append($$anchor,ul),pop()}var root$E=from_html("<div><!></div>");function Sidebar_provider($$anchor,$$props){push$1($$props,!0);let ref2=prop(
+$$props,"ref",15,null),open2=prop($$props,"open",15,!0),onOpenChange=prop($$props,"onOpenChange",3,()=>{}),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open","onOpenChange","class","style","children"]);const sidebar=setSidebar({open:()=>open2(),setOpen:value=>{open2(value),onOpenChange()(value),document.cookie=`${SIDEBAR_COOKIE_NAME}=${open2()}; path=/; max-age=${SIDEBAR_COOKIE_MAX_AGE}`}});var div=root$E();event("keydown",$window,function(...$$args){sidebar.handleShortcutKeydown?.
+apply(this,$$args)}),attribute_effect(div,$0=>({"data-slot":"sidebar-wrapper",style:`--sidebar-width: ${SIDEBAR_WIDTH}; --sidebar-width-icon: ${SIDEBAR_WIDTH_ICON}; ${$$props.style??""}`,class:$0,...restProps}),[()=>cn$1("group/sidebar-wrapper flex min-h-svh w-full has-data-[variant=inset]:bg-sidebar",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_1$s=from_html('<!> \
+<span class="sr-only">Toggle Sidebar</span>',1);function Sidebar_trigger($$anchor,$$props){push$1($$props,!0),prop($$props,"ref",11,null);let restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","onclick"]);const sidebar=useSidebar();{let $0=user_derived(()=>$$props.class),$1=user_derived(()=>sidebar.open?"unset":"2");Button($$anchor,spread_props({"data-sidebar":"trigger","data-slot":"sidebar-trigger",variant:"ghost",size:"icon-lg",get class(){return`rounded-full backdrop-\
+blur-lg ${get$4($0)??""} md:left-${get$4($1)??""} -top-2 -left-2 md:top-0`},type:"button",onclick:e=>{$$props.onclick?.(e),sidebar.toggle()}},()=>restProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$s(),node2=first_child(fragment_1);Panel_left(node2,{}),next$1(2),append($$anchor2,fragment_1)},$$slots:{default:!0}}))}pop()}var root_1$r=from_html("<div><!></div>"),root_6$g=from_html("<!> <!>",1),root_5$g=from_html('<!> <div class="flex h-full w-full flex-col"><!></div>',1),root_9$b=from_html(
+'<div class="group peer hidden text-sidebar-foreground md:block" data-slot="sidebar"><div data-slot="sidebar-gap"></div> <div><div data-sidebar="sidebar" data-slot="sidebar-inner" class="flex h-full w-full flex-col bg-sidebar group-data-[variant=floating]:rounded-lg group-data-[variant=floating]:border group-data-[variant=floating]:border-sidebar-border group-data-[variant=floating]:shadow-sm"><!></div></div></div>');function Sidebar($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"re\
+f",15,null),side=prop($$props,"side",3,"left"),variant=prop($$props,"variant",3,"sidebar"),collapsible=prop($$props,"collapsible",3,"offcanvas"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","side","variant","collapsible","class","children"]);const sidebar=useSidebar();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$r();attribute_effect(div,$0=>({class:$0,...restProps}),[()=>cn$1("flex h-full w-(--sidebar-width) flex-col bg-si\
+debar text-sidebar-foreground",$$props.class)]);var node_1=child(div);snippet(node_1,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor2,div)},alternate_1=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_1=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2),bind_get=()=>sidebar.openMobile,bind_set=v=>sidebar.setOpenMobile(v);component(node_3,()=>Root$1,($$anchor4,Sheet_Root)=>{Sheet_Root(
+$$anchor4,spread_props({get open(){return bind_get()},set open($$value){bind_set($$value)}},()=>restProps,{children:($$anchor5,$$slotProps)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);component(node_4,()=>Sheet_content,($$anchor6,Sheet_Content)=>{Sheet_Content($$anchor6,{"data-sidebar":"sidebar","data-slot":"sidebar","data-mobile":"true",class:"z-99999 w-(--sidebar-width) bg-sidebar p-0 text-sidebar-foreground sm:z-99 [&>button]:hidden",get style(){return`--sidebar-width: ${SIDEBAR_WIDTH_MOBILE}\
+;`},get side(){return side()},children:($$anchor7,$$slotProps2)=>{var fragment_4=root_5$g(),node_5=first_child(fragment_4);component(node_5,()=>Sheet_header,($$anchor8,Sheet_Header)=>{Sheet_Header($$anchor8,{class:"sr-only",children:($$anchor9,$$slotProps3)=>{var fragment_5=root_6$g(),node_6=first_child(fragment_5);component(node_6,()=>Sheet_title,($$anchor10,Sheet_Title)=>{Sheet_Title($$anchor10,{children:($$anchor11,$$slotProps4)=>{next$1();var text2=text$8("Sidebar");append($$anchor11,text2)},
+$$slots:{default:!0}})});var node_7=sibling(node_6,2);component(node_7,()=>Sheet_description,($$anchor10,Sheet_Description)=>{Sheet_Description($$anchor10,{children:($$anchor11,$$slotProps4)=>{next$1();var text_1=text$8("Displays the mobile sidebar.");append($$anchor11,text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_5)},$$slots:{default:!0}})});var div_1=sibling(node_5,2),node_8=child(div_1);snippet(node_8,()=>$$props.children??noop$3),reset(div_1),append($$anchor7,fragment_4)},$$slots:{
+default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}}))}),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div_2=root_9$b(),div_3=child(div_2),div_4=sibling(div_3,2);attribute_effect(div_4,$0=>({"data-slot":"sidebar-container",class:$0,...restProps}),[()=>cn$1("fixed inset-y-0 z-999 hidden h-svh w-(--sidebar-width) transition-[left,right,width] duration-200 ease-linear md:z-0 md:flex",side()==="left"?"left-0 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*\
+-1)]":"right-0 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-1)]",variant()==="floating"||variant()==="inset"?"p-2 group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)",$$props.class)]);var div_5=child(div_4),node_9=child(div_5);snippet(node_9,()=>$$props.children??noop$3),reset(div_5),reset(div_4),reset(div_2),bind_this(div_2,$$value=>ref2($$value),()=>ref2()),template_effect($0=>{set_attribute(
+div_2,"data-state",sidebar.state),set_attribute(div_2,"data-collapsible",sidebar.state==="collapsed"?collapsible():""),set_attribute(div_2,"data-variant",variant()),set_attribute(div_2,"data-side",side()),set_class(div_3,1,$0)},[()=>clsx(cn$1("relative w-(--sidebar-width) bg-transparent transition-[width] duration-200 ease-linear","group-data-[collapsible=offcanvas]:w-0","group-data-[side=right]:rotate-180",variant()==="floating"||variant()==="inset"?"group-data-[collapsible=icon]:w-[calc(var(--\
+sidebar-width-icon)+(--spacing(4))+2px)]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)"))]),append($$anchor3,div_2)};if_block(node_2,$$render=>{sidebar.isMobile?$$render(consequent_1):$$render(alternate,!1)},!0)}append($$anchor2,fragment_1)};if_block(node2,$$render=>{collapsible()==="none"?$$render(consequent):$$render(alternate_1,!1)})}append($$anchor,fragment),pop()}var root$D=from_html('<header><div class="pointer-events-auto flex items-center space-x-2"><!></div></header>');function ChatScreenHeader($$anchor,$$props){
+push$1($$props,!1);const sidebar=useSidebar(),chatSettingsDialog=getChatSettingsDialogContext();init();var header=root$D(),div=child(header),node2=child(div);Button(node2,{variant:"ghost",size:"icon-lg",onclick:()=>chatSettingsDialog.open(),class:"rounded-full backdrop-blur-lg",children:($$anchor2,$$slotProps)=>{Settings$1($$anchor2,{class:"h-4 w-4"})},$$slots:{default:!0}}),reset(div),reset(header),template_effect(()=>set_class(header,1,`pointer-events-none fixed top-0 right-0 left-0 z-50 flex \
+items-center justify-end p-2 duration-200 ease-linear md:p-4 ${sidebar.open?"md:left-[var(--sidebar-width)]":""}`)),append($$anchor,header),pop()}var root_1$q=from_html('<span class="chat-processing-info-detail pointer-events-auto backdrop-blur-sm svelte-1ktvj8d"> </span>'),root$C=from_html('<div><div class="chat-processing-info-content svelte-1ktvj8d"></div></div>');function ChatScreenProcessingInfo($$anchor,$$props){push$1($$props,!0);const processingState=useProcessingState();let isCurrentConversationLoading=user_derived(
+isLoading),isStreaming=user_derived(isChatStreaming),hasProcessingData=user_derived(()=>processingState.processingState!==null),processingDetails=user_derived(()=>processingState.getTechnicalDetails()),showProcessingInfo=user_derived(()=>get$4(isCurrentConversationLoading)||get$4(isStreaming)||config$1().keepStatsVisible||get$4(hasProcessingData));user_effect(()=>{const conversation=activeConversation();untrack$1(()=>chatStore.setActiveProcessingConversation(conversation?.id??null))}),user_effect(
+()=>{const keepStatsVisible=config$1().keepStatsVisible;if((keepStatsVisible||get$4(isCurrentConversationLoading)||get$4(isStreaming))&&processingState.startMonitoring(),!get$4(isCurrentConversationLoading)&&!get$4(isStreaming)&&!keepStatsVisible){const timeout=setTimeout(()=>{!config$1().keepStatsVisible&&!isChatStreaming()&&processingState.stopMonitoring()},PROCESSING_INFO_TIMEOUT);return()=>clearTimeout(timeout)}}),user_effect(()=>{const conversation=activeConversation(),messages=activeMessages();
+if(config$1().keepStatsVisible&&conversation){if(messages.length===0){untrack$1(()=>chatStore.clearProcessingState(conversation.id));return}!get$4(isCurrentConversationLoading)&&!get$4(isStreaming)&&untrack$1(()=>chatStore.restoreProcessingStateFromMessages(messages,conversation.id))}});var div=root$C();let classes;var div_1=child(div);each(div_1,20,()=>get$4(processingDetails),detail=>detail,($$anchor2,detail)=>{var span=root_1$q(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,
+detail)),append($$anchor2,span)}),reset(div_1),reset(div),template_effect(()=>classes=set_class(div,1,"chat-processing-info-container pointer-events-none svelte-1ktvj8d",null,classes,{visible:get$4(showProcessingInfo)})),append($$anchor,div),pop()}var root_1$p=from_html('<button><!> <span class="ml-2"> </span></button>'),root_2$s=from_html("<button><!> <span> </span></button>"),root_6$f=from_html('<div class="space-y-6"><!> <div class="border-t border-border/30 pt-6"><!></div></div>'),root_7$f=from_html(
+'<div class="space-y-6"><!></div>'),root_3$n=from_html(`<div class="space-y-6 p-4 md:p-6"><div class="grid"><div class="mb-6 flex hidden items-center gap-2 border-b border-border/30 pb-6 md:flex"><!> <h3 class="text-lg font-semibold"> </h3></div> <!></div> <div class="mt-8 border-t pt-6"><p class="text-xs text-muted-foreground">Settings are saved in browser's localStorage</p></div></div>`),root$B=from_html('<div class="flex h-full flex-col overflow-hidden md:flex-row"><div class="hidden w-64 bor\
+der-r border-border/30 p-6 md:block"><nav class="space-y-1 py-2"></nav></div> <div class="flex flex-col pt-6 md:hidden"><div class="border-b border-border/30 pt-4 md:py-4"><div class="relative flex items-center" style="scroll-padding: 1rem;"><button aria-label="Scroll left"><!></button> <div class="scrollbar-hide overflow-x-auto py-2"><div class="flex min-w-max gap-2"></div></div> <button aria-label="Scroll right"><!></button></div></div></div> <!></div> <!>',1);function ChatSettings($$anchor,$$props){
+push$1($$props,!0);const settingSections=[{title:SETTINGS_SECTION_TITLES.GENERAL,icon:Settings$1,fields:[{key:SETTINGS_KEYS.THEME,label:"Theme",type:SettingsFieldType.SELECT,options:SETTINGS_COLOR_MODES_CONFIG},{key:SETTINGS_KEYS.API_KEY,label:"API Key",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SYSTEM_MESSAGE,label:"System Message",type:SettingsFieldType.TEXTAREA},{key:SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,label:"Paste long text to file length",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.
+SEND_ON_ENTER,label:"Send message on Enter",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,label:"Copy text attachments as plain text",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,label:'Enable "Continue" button',type:SettingsFieldType.CHECKBOX,isExperimental:!0},{key:SETTINGS_KEYS.PDF_AS_IMAGE,label:"Parse PDF as image",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,label:"Ask for confirma\
+tion before changing conversation title",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.TITLE_GENERATION_USE_FIRST_LINE,label:"Use first non-empty line for conversation title",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.DISPLAY,icon:Monitor,fields:[{key:SETTINGS_KEYS.SHOW_MESSAGE_STATS,label:"Show message generation statistics",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_THOUGHT_IN_PROGRESS,label:"Show thought in progress",type:SettingsFieldType.CHECKBOX},
+{key:SETTINGS_KEYS.KEEP_STATS_VISIBLE,label:"Keep stats visible after generation",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,label:"Show microphone on empty input",type:SettingsFieldType.CHECKBOX,isExperimental:!0},{key:SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,label:"Render user content as Markdown",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,label:"Use full height code blocks",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.DISABLE_AUTO_SCROLL,
+label:"Disable automatic scroll",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,label:"Always show sidebar on desktop",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.AUTO_SHOW_SIDEBAR_ON_NEW_CHAT,label:"Auto-show sidebar on new chat",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,label:"Show raw model names",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.SAMPLING,icon:Funnel,fields:[{key:SETTINGS_KEYS.TEMPERATURE,
+label:"Temperature",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DYNATEMP_RANGE,label:"Dynamic temperature range",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DYNATEMP_EXPONENT,label:"Dynamic temperature exponent",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TOP_K,label:"Top K",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TOP_P,label:"Top P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.MIN_P,label:"Min P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.XTC_PROBABILITY,label:"\
+XTC probability",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.XTC_THRESHOLD,label:"XTC threshold",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TYP_P,label:"Typical P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.MAX_TOKENS,label:"Max tokens",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SAMPLERS,label:"Samplers",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.BACKEND_SAMPLING,label:"Backend sampling",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.PENALTIES,icon:Triangle_alert,
+fields:[{key:SETTINGS_KEYS.REPEAT_LAST_N,label:"Repeat last N",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.REPEAT_PENALTY,label:"Repeat penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.PRESENCE_PENALTY,label:"Presence penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.FREQUENCY_PENALTY,label:"Frequency penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_MULTIPLIER,label:"DRY multiplier",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_BASE,label:"DRY base",type:SettingsFieldType.
+INPUT},{key:SETTINGS_KEYS.DRY_ALLOWED_LENGTH,label:"DRY allowed length",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_PENALTY_LAST_N,label:"DRY penalty last N",type:SettingsFieldType.INPUT}]},{title:SETTINGS_SECTION_TITLES.IMPORT_EXPORT,icon:Database,fields:[]},{title:SETTINGS_SECTION_TITLES.MCP,icon:McpLogo,fields:[{key:SETTINGS_KEYS.AGENTIC_MAX_TURNS,label:"Agentic loop max turns",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,label:"Always show agentic turns\
+ in conversation",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,label:"Max lines per tool preview",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,label:"Show tool call in progress",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.DEVELOPER,icon:Code,fields:[{key:SETTINGS_KEYS.PRE_ENCODE_CONVERSATION,label:"Pre-fill KV cache after response",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.DISABLE_REASONING_PARSING,
+label:"Disable server-side thinking extraction",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,label:"Strip thinking from message history",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,label:"Enable raw output toggle",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.CUSTOM,label:"Custom JSON",type:SettingsFieldType.TEXTAREA}]}];let activeSection=user_derived(()=>$$props.initialSection??SETTINGS_SECTION_TITLES.GENERAL),currentSection=user_derived(
+()=>settingSections.find(section=>section.title===get$4(activeSection))||settingSections[0]),localConfig=state$1(proxy({...config$1()})),canScrollLeft=state$1(!1),canScrollRight=state$1(!1),scrollContainer=state$1(void 0);user_effect(()=>{$$props.initialSection&&set$1(activeSection,$$props.initialSection)});function handleThemeChange(newTheme){get$4(localConfig).theme=newTheme,setMode(newTheme)}function handleConfigChange(key2,value){get$4(localConfig)[key2]=value}function handleReset(){set$1(localConfig,
+{...config$1()},!0),setMode(get$4(localConfig).theme)}function handleSave(){if(get$4(localConfig).custom&&typeof get$4(localConfig).custom=="string"&&get$4(localConfig).custom.trim())try{JSON.parse(get$4(localConfig).custom)}catch(error2){alert("Invalid JSON in custom parameters. Please check the format and try again."),console.error(error2);return}const processedConfig={...get$4(localConfig)};for(const field of NUMERIC_FIELDS)if(processedConfig[field]!==void 0&&processedConfig[field]!==""){const numValue=Number(
+processedConfig[field]);if(!isNaN(numValue))POSITIVE_INTEGER_FIELDS.includes(field)?processedConfig[field]=Math.max(1,Math.round(numValue)):processedConfig[field]=numValue;else{alert(`Invalid numeric value for ${field}. Please enter a valid number.`);return}}settingsStore.updateMultipleConfig(processedConfig),$$props.onSave?.()}function scrollToCenter(element2){if(!get$4(scrollContainer))return;const containerRect=get$4(scrollContainer).getBoundingClientRect(),elementRect=element2.getBoundingClientRect(),
+elementCenter=elementRect.left+elementRect.width/2,containerCenter=containerRect.left+containerRect.width/2,scrollOffset=elementCenter-containerCenter;get$4(scrollContainer).scrollBy({left:scrollOffset,behavior:"smooth"})}function scrollLeft(){get$4(scrollContainer)&&get$4(scrollContainer).scrollBy({left:-250,behavior:"smooth"})}function scrollRight(){get$4(scrollContainer)&&get$4(scrollContainer).scrollBy({left:250,behavior:"smooth"})}function updateScrollButtons(){if(!get$4(scrollContainer))return;
+const{scrollLeft:scrollLeft2,scrollWidth,clientWidth}=get$4(scrollContainer);set$1(canScrollLeft,scrollLeft2>0),set$1(canScrollRight,scrollLeft2<scrollWidth-clientWidth-1)}function reset$1(){set$1(localConfig,{...config$1()},!0),setTimeout(updateScrollButtons,100)}user_effect(()=>{get$4(scrollContainer)&&updateScrollButtons()});var $$exports={reset:reset$1},fragment=root$B(),div=first_child(fragment),div_1=child(div),nav=child(div_1);each(nav,21,()=>settingSections,section=>section.title,($$anchor2,section)=>{
+var button=root_1$p();button.__click=()=>set$1(activeSection,get$4(section).title);var node2=child(button);component(node2,()=>get$4(section).icon,($$anchor3,section_icon)=>{section_icon($$anchor3,{class:"h-4 w-4"})});var span=sibling(node2,2),text2=child(span,!0);reset(span),reset(button),template_effect(()=>{set_class(button,1,`flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm transition-colors hover:bg-accent ${get$4(activeSection)===get$4(section).title?"bg\
+-accent text-accent-foreground":"text-muted-foreground"}`),set_text(text2,get$4(section).title)}),append($$anchor2,button)}),reset(nav),reset(div_1);var div_2=sibling(div_1,2),div_3=child(div_2),div_4=child(div_3),button_1=child(div_4);button_1.__click=scrollLeft;var node_1=child(button_1);Chevron_left(node_1,{class:"h-4 w-4"}),reset(button_1);var div_5=sibling(button_1,2),div_6=child(div_5);each(div_6,21,()=>settingSections,section=>section.title,($$anchor2,section)=>{var button_2=root_2$s();button_2.
+__click=e=>{set$1(activeSection,get$4(section).title),scrollToCenter(e.currentTarget)};var node_2=child(button_2);component(node_2,()=>get$4(section).icon,($$anchor3,section_icon_1)=>{section_icon_1($$anchor3,{class:"h-4 w-4 flex-shrink-0"})});var span_1=sibling(node_2,2),text_1=child(span_1,!0);reset(span_1),reset(button_2),template_effect(()=>{set_class(button_2,1,`flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap transition-colors first:ml-4 last:mr-4 hover\
+:bg-accent ${get$4(activeSection)===get$4(section).title?"bg-accent text-accent-foreground":"text-muted-foreground"}`),set_text(text_1,get$4(section).title)}),append($$anchor2,button_2)}),reset(div_6),reset(div_5),bind_this(div_5,$$value=>set$1(scrollContainer,$$value),()=>get$4(scrollContainer));var button_3=sibling(div_5,2);button_3.__click=scrollRight;var node_3=child(button_3);Chevron_right(node_3,{class:"h-4 w-4"}),reset(button_3),reset(div_4),reset(div_3),reset(div_2);var node_4=sibling(div_2,
+2);Scroll_area(node_4,{class:"max-h-[calc(100dvh-13.5rem)] flex-1 md:max-h-[calc(100vh-13.5rem)]",children:($$anchor2,$$slotProps)=>{var div_7=root_3$n(),div_8=child(div_7),div_9=child(div_8),node_5=child(div_9);component(node_5,()=>get$4(currentSection).icon,($$anchor3,currentSection_icon)=>{currentSection_icon($$anchor3,{class:"h-5 w-5"})});var h3=sibling(node_5,2),text_2=child(h3,!0);reset(h3),reset(div_9);var node_6=sibling(div_9,2);{var consequent=$$anchor3=>{ChatSettingsImportExportTab($$anchor3,
+{})},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_7=first_child(fragment_2);{var consequent_1=$$anchor4=>{var div_10=root_6$f(),node_8=child(div_10);ChatSettingsFields(node_8,{get fields(){return get$4(currentSection).fields},get localConfig(){return get$4(localConfig)},onConfigChange:handleConfigChange,onThemeChange:handleThemeChange});var div_11=sibling(node_8,2),node_9=child(div_11);McpServersSettings(node_9,{}),reset(div_11),reset(div_10),append($$anchor4,div_10)},alternate=$$anchor4=>{
+var div_12=root_7$f(),node_10=child(div_12);ChatSettingsFields(node_10,{get fields(){return get$4(currentSection).fields},get localConfig(){return get$4(localConfig)},onConfigChange:handleConfigChange,onThemeChange:handleThemeChange}),reset(div_12),append($$anchor4,div_12)};if_block(node_7,$$render=>{get$4(currentSection).title===SETTINGS_SECTION_TITLES.MCP?$$render(consequent_1):$$render(alternate,!1)},!0)}append($$anchor3,fragment_2)};if_block(node_6,$$render=>{get$4(currentSection).title===SETTINGS_SECTION_TITLES.
+IMPORT_EXPORT?$$render(consequent):$$render(alternate_1,!1)})}reset(div_8),next$1(2),reset(div_7),template_effect(()=>set_text(text_2,get$4(currentSection).title)),append($$anchor2,div_7)},$$slots:{default:!0}}),reset(div);var node_11=sibling(div,2);return ChatSettingsFooter(node_11,{onReset:handleReset,onSave:handleSave}),template_effect(()=>{set_class(button_1,1,`absolute left-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity ho\
+ver:bg-accent ${get$4(canScrollLeft)?"opacity-100":"pointer-events-none opacity-0"}`),set_class(button_3,1,`absolute right-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent ${get$4(canScrollRight)?"opacity-100":"pointer-events-none opacity-0"}`)}),event("scroll",div_5,updateScrollButtons),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_1$o=from_html("<!> Reset to default",1),root_5$f=from_html(
+"<!> <!>",1),root_8$b=from_html("<!> <!>",1),root_4$b=from_html("<!> <!>",1),root$A=from_html('<div class="flex justify-between border-t border-border/30 p-6"><div class="flex gap-2"><!></div> <!></div> <!>',1);function ChatSettingsFooter($$anchor,$$props){push$1($$props,!0);let showResetDialog=state$1(!1);function handleResetClick(){set$1(showResetDialog,!0)}function handleConfirmReset(){settingsStore.forceSyncWithServerDefaults(),$$props.onReset?.(),set$1(showResetDialog,!1)}function handleSave(){
+$$props.onSave?.()}var fragment=root$A(),div=first_child(fragment),div_1=child(div),node2=child(div_1);Button(node2,{variant:"outline",onclick:handleResetClick,children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$o(),node_1=first_child(fragment_1);Rotate_ccw(node_1,{class:"h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div_1);var node_2=sibling(div_1,2);Button(node_2,{onclick:handleSave,children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Save setting\
+s");append($$anchor2,text2)},$$slots:{default:!0}}),reset(div);var node_3=sibling(div,2);component(node_3,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return get$4(showResetDialog)},set open($$value){set$1(showResetDialog,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_2=comment$2(),node_4=first_child(fragment_2);component(node_4,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{
+var fragment_3=root_4$b(),node_5=first_child(fragment_3);component(node_5,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_5$f(),node_6=first_child(fragment_4);component(node_6,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Reset Settings to Default");append($$anchor9,text_1)},$$slots:{default:!0}})});var node_7=sibling(
+node_6,2);component(node_7,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8(`Are you sure you want to reset all settings to their default values? This will reset all
+				parameters to the values provided by the server's /props endpoint and remove all your custom
+				configurations.`);append($$anchor9,text_2)},$$slots:{default:!0}})}),append($$anchor7,fragment_4)},$$slots:{default:!0}})});var node_8=sibling(node_5,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=root_8$b(),node_9=first_child(fragment_5);component(node_9,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();
+var text_3=text$8("Cancel");append($$anchor9,text_3)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:handleConfirmReset,children:($$anchor9,$$slotProps4)=>{next$1();var text_4=text$8("Reset to Default");append($$anchor9,text_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,
+fragment_2)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$n=from_html('<span class="absolute right-2 flex size-3.5 items-center justify-center"><!></span> <!>',1);function Select_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","value","label","children"]);var fragment=comment$2(),node2=first_child(fragment);{const children=($$anchor2,$$arg0)=>{let selected=()=>$$arg0?.().
+selected,highlighted=()=>$$arg0?.().highlighted;var fragment_1=root_1$n(),span=first_child(fragment_1),node_1=child(span);{var consequent=$$anchor3=>{Check($$anchor3,{class:"size-4"})};if_block(node_1,$$render=>{selected()&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);snippet(node_3,()=>$$props.children,()=>({selected:selected(),highlighted:highlighted()})),append($$anchor3,fragment_3)},alternate=$$anchor3=>{
+var text2=text$8();template_effect(()=>set_text(text2,$$props.label||$$props.value)),append($$anchor3,text2)};if_block(node_2,$$render=>{$$props.children?$$render(consequent_1):$$render(alternate,!1)})}append($$anchor2,fragment_1)};let $0=user_derived(()=>cn$1("relative flex w-full cursor-default items-center gap-2 rounded-sm py-1.5 pr-8 pl-2 text-sm outline-hidden select-none data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[highlighted]:bg-accent data-[highlighted]:text-acce\
+nt-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground *:[span]:last:flex *:[span]:last:items-center *:[span]:last:gap-2",$$props.class));component(node2,()=>Select_item$1,($$anchor2,SelectPrimitive_Item)=>{SelectPrimitive_Item($$anchor2,spread_props({get value(){return $$props.value},"data-slot":"select-item",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},
+children,$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}function Select_scroll_up_button($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center justify-center py-1",$$props.class));component(node2,()=>Select_scroll_up_button$1,($$anchor2,SelectPrimitive_ScrollUpButton)=>{SelectPrimitive_ScrollUpButton(
+$$anchor2,spread_props({"data-slot":"select-scroll-up-button",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{Chevron_up($$anchor3,{class:"size-4"})},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}function Select_scroll_down_button($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),
+node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center justify-center py-1",$$props.class));component(node2,()=>Select_scroll_down_button$1,($$anchor2,SelectPrimitive_ScrollDownButton)=>{SelectPrimitive_ScrollDownButton($$anchor2,spread_props({"data-slot":"select-scroll-down-button",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{Chevron_down($$anchor3,{class:"size-4"})},
+$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_2$r=from_html("<!> <!> <!>",1);function Select_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","portalProps","children"]),cleanupInternalListeners;onMount$1(()=>{const listenerOptions={passive:!1},blockOutsideWheel=event2=>{if(!ref2())return;const target2=event2.target;
+(!target2||!ref2().contains(target2))&&(event2.preventDefault(),event2.stopPropagation())},blockOutsideTouchMove=event2=>{if(!ref2())return;const target2=event2.target;(!target2||!ref2().contains(target2))&&(event2.preventDefault(),event2.stopPropagation())};return document.addEventListener("wheel",blockOutsideWheel,listenerOptions),document.addEventListener("touchmove",blockOutsideTouchMove,listenerOptions),()=>{document.removeEventListener("wheel",blockOutsideWheel,listenerOptions),document.removeEventListener(
+"touchmove",blockOutsideTouchMove,listenerOptions)}}),user_effect(()=>{const element2=ref2();if(cleanupInternalListeners?.(),!element2)return;const stopWheelPropagation=event2=>{event2.stopPropagation()},stopTouchPropagation=event2=>{event2.stopPropagation()};element2.addEventListener("wheel",stopWheelPropagation),element2.addEventListener("touchmove",stopTouchPropagation),cleanupInternalListeners=()=>{element2.removeEventListener("wheel",stopWheelPropagation),element2.removeEventListener("touch\
+move",stopTouchPropagation)}}),onDestroy(()=>{cleanupInternalListeners?.()});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SelectPrimitive_Portal)=>{SelectPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("relative z-[var(--layer-popover,1000000)] max-h-(--bits-select-content-available-height) min-w-[8rem] origin-\
+(--bits-select-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border bg-popover text-popover-foreground shadow-md data-[side=bottom]:translate-y-1 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:-translate-x-1 data-[side=left]:slide-in-from-right-2 data-[side=right]:translate-x-1 data-[side=right]:slide-in-from-left-2 data-[side=top]:-translate-y-1 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=clo\
+sed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node_1,()=>Select_content$1,($$anchor4,SelectPrimitive_Content)=>{SelectPrimitive_Content($$anchor4,spread_props({get sideOffset(){return sideOffset()},"data-slot":"select-content",get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$r(),node_2=first_child(fragment_2);
+Select_scroll_up_button(node_2,{});var node_3=sibling(node_2,2);{let $02=user_derived(()=>cn$1("h-(--bits-select-anchor-height) w-full min-w-(--bits-select-anchor-width) scroll-my-1 p-1"));component(node_3,()=>Select_viewport,($$anchor6,SelectPrimitive_Viewport)=>{SelectPrimitive_Viewport($$anchor6,{get class(){return get$4($02)},children:($$anchor7,$$slotProps3)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);snippet(node_4,()=>$$props.children??noop$3),append($$anchor7,fragment_3)},
+$$slots:{default:!0}})})}var node_5=sibling(node_3,2);Select_scroll_down_button(node_5,{}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root_1$m=from_html("<!> <!>",1);function Select_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),size2=prop($$props,"size",3,"default"),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$event\
+s","$$legacy","ref","class","children","size","variant"]);const baseClasses=user_derived(()=>variant()==="plain"?"group inline-flex w-full items-center justify-end gap-2 whitespace-nowrap px-0 py-0 text-sm font-medium text-muted-foreground transition-colors focus-visible:outline-none focus-visible:ring-0 focus-visible:ring-offset-0 disabled:cursor-not-allowed disabled:opacity-50 data-[placeholder]:text-muted-foreground data-[size=default]:h-9 data-[size=sm]:h-8 [&_svg]:pointer-events-none [&_svg\
+]:shrink-0 [&_svg:not([class*='size-'])]:size-3 [&_svg:not([class*='text-'])]:text-muted-foreground":"flex w-fit items-center justify-between gap-2 rounded-md border border-input bg-transparent px-3 py-2 text-sm whitespace-nowrap shadow-xs transition-[color,box-shadow] outline-none select-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[placehol\
+der]:text-muted-foreground data-[size=default]:h-9 data-[size=sm]:h-8 *:data-[slot=select-value]:line-clamp-1 *:data-[slot=select-value]:flex *:data-[slot=select-value]:items-center *:data-[slot=select-value]:gap-2 dark:bg-input/30 dark:hover:bg-input/50 dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground"),chevronClasses=user_derived(()=>variant()==="plain"?"size-3 opacity-60 \
+transition-transform group-data-[state=open]:-rotate-180":"size-4 opacity-50");var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(get$4(baseClasses),$$props.class));component(node2,()=>Select_trigger$1,($$anchor2,SelectPrimitive_Trigger)=>{SelectPrimitive_Trigger($$anchor2,spread_props({"data-slot":"select-trigger",get"data-size"(){return size2()},get class(){return get$4($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{
+var fragment_1=root_1$m(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);Chevron_down(node_2,{get class(){return get$4(chevronClasses)}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}const Root=Select;var root$z=from_html("<textarea></textarea>");function Textarea($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,"value",15),restProps=rest_props($$props,
+["$$slots","$$events","$$legacy","ref","value","class"]);var textarea=root$z();remove_textarea_child(textarea),attribute_effect(textarea,$0=>({"data-slot":"textarea",class:$0,...restProps}),[()=>cn$1("flex field-sizing-content min-h-16 w-full rounded-md border border-input bg-transparent px-3 py-2 text-base shadow-xs transition-[color,box-shadow] outline-none placeholder:text-muted-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowe\
+d disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 md:text-sm dark:bg-input/30 dark:aria-invalid:ring-destructive/40",$$props.class)]),bind_this(textarea,$$value=>ref2($$value),()=>ref2()),bind_value(textarea,value),append($$anchor,textarea),pop()}var root_3$m=from_html(" <!>",1),root_6$e=from_html('<button type="button" class="absolute top-1/2 right-2 inline-flex h-5 w-5 -translate-y-1/2 items-center justify-center rounded transition-colors hover:bg-muted" ar\
+ia-label="Reset to default" title="Reset to default"><!></button>'),root_7$e=from_html('<p class="mt-1 text-xs text-muted-foreground"><!></p>'),root_2$q=from_html('<div class="flex items-center gap-2"><!> <!></div> <div class="relative w-full md:max-w-md"><!> <!></div> <!>',1),root_10$8=from_html(" <!>",1),root_12$4=from_html('<p class="mt-1 text-xs text-muted-foreground"> </p>'),root_13$7=from_html('<div class="mt-3 flex items-center gap-2"><!> <!></div>'),root_9$a=from_html("<!> <!> <!> <!>",1),
+root_17$1=from_html(" <!>",1),root_21$2=from_html('<div class="flex items-center gap-2"><!> </div>'),root_23$1=from_html('<button type="button" class="absolute top-1/2 right-8 inline-flex h-5 w-5 -translate-y-1/2 items-center justify-center rounded transition-colors hover:bg-muted" aria-label="Reset to default" title="Reset to default"><!></button>'),root_27$1=from_html('<div class="flex items-center gap-2"><!> </div>'),root_20$3=from_html('<div class="relative w-full md:w-auto md:max-w-md"><!> \
+<!></div> <!>',1),root_29=from_html('<p class="mt-1 text-xs text-muted-foreground"> </p>'),root_16$2=from_html('<div class="flex items-center gap-2"><!> <!></div> <!> <!>',1),root_33=from_html('<p class="text-xs text-muted-foreground"> </p>'),root_31=from_html('<div class="flex items-start space-x-3"><!> <div class="space-y-1"><label class="flex cursor-pointer items-center gap-1.5 pt-1 pb-0.5 text-sm leading-none font-medium"> <!></label> <!></div></div>'),root_1$l=from_html('<div class="space-y\
+-2"><!></div>');function ChatSettingsFields($$anchor,$$props){push$1($$props,!0);let sp=user_derived(()=>{if(serverStore.isRouterMode){const m=selectedModelName();if(m)return modelsStore.getModelProps(m)?.default_generation_settings?.params??{}}return serverStore.defaultParams??{}});var fragment=comment$2(),node2=first_child(fragment);each(node2,17,()=>$$props.fields,field=>field.key,($$anchor2,field)=>{var div=root_1$l(),node_1=child(div);{var consequent_4=$$anchor3=>{const currentValue=user_derived(
+()=>String($$props.localConfig[get$4(field).key]??"")),serverDefault=user_derived(()=>get$4(sp)[get$4(field).key]),isCustomRealTime=user_derived(()=>(()=>{if(get$4(serverDefault)==null||get$4(currentValue)==="")return!1;const numericInput=parseFloat(get$4(currentValue)),normalizedInput=isNaN(numericInput)?get$4(currentValue):Math.round(numericInput*1e6)/1e6,normalizedDefault=typeof get$4(serverDefault)=="number"?Math.round(get$4(serverDefault)*1e6)/1e6:get$4(serverDefault);return normalizedInput!==
+normalizedDefault})());var fragment_1=root_2$q(),div_1=first_child(fragment_1),node_2=child(div_1);Label(node_2,{get for(){return get$4(field).key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_2=root_3$m(),text2=first_child(fragment_2),node_3=sibling(text2);{var consequent=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_3,$$render=>{get$4(field).isExperimental&&$$render(consequent)})}
+template_effect(()=>set_text(text2,`${get$4(field).label??""} `)),append($$anchor4,fragment_2)},$$slots:{default:!0}});var node_4=sibling(node_2,2);{var consequent_1=$$anchor4=>{ChatSettingsParameterSourceIndicator($$anchor4,{})};if_block(node_4,$$render=>{get$4(isCustomRealTime)&&$$render(consequent_1)})}reset(div_1);var div_2=sibling(div_1,2),node_5=child(div_2);{let $0=user_derived(()=>get$4(sp)[get$4(field).key]!=null?`Default: ${normalizeFloatingPoint(get$4(sp)[get$4(field).key])}`:""),$1=user_derived(
+()=>get$4(isCustomRealTime)?"pr-8":"");Input(node_5,{get id(){return get$4(field).key},get value(){return get$4(currentValue)},oninput:e=>{$$props.onConfigChange(get$4(field).key,e.currentTarget.value)},get placeholder(){return get$4($0)},get class(){return`w-full ${get$4($1)??""}`}})}var node_6=sibling(node_5,2);{var consequent_2=$$anchor4=>{var button=root_6$e();button.__click=()=>{settingsStore.resetParameterToServerDefault(get$4(field).key),$$props.onConfigChange(get$4(field).key,"")};var node_7=child(
+button);Rotate_ccw(node_7,{class:"h-3 w-3"}),reset(button),append($$anchor4,button)};if_block(node_6,$$render=>{get$4(isCustomRealTime)&&$$render(consequent_2)})}reset(div_2);var node_8=sibling(div_2,2);{var consequent_3=$$anchor4=>{var p_1=root_7$e(),node_9=child(p_1);html$6(node_9,()=>get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key]),reset(p_1),append($$anchor4,p_1)};if_block(node_8,$$render=>{(get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])&&$$render(consequent_3)})}append($$anchor3,
+fragment_1)},alternate_2=$$anchor3=>{var fragment_5=comment$2(),node_10=first_child(fragment_5);{var consequent_8=$$anchor4=>{var fragment_6=root_9$a(),node_11=first_child(fragment_6);Label(node_11,{get for(){return get$4(field).key},class:"block flex items-center gap-1.5 text-sm font-medium",children:($$anchor5,$$slotProps)=>{next$1();var fragment_7=root_10$8(),text_1=first_child(fragment_7),node_12=sibling(text_1);{var consequent_5=$$anchor6=>{Flask_conical($$anchor6,{class:"h-3.5 w-3.5 text-m\
+uted-foreground"})};if_block(node_12,$$render=>{get$4(field).isExperimental&&$$render(consequent_5)})}template_effect(()=>set_text(text_1,`${get$4(field).label??""} `)),append($$anchor5,fragment_7)},$$slots:{default:!0}});var node_13=sibling(node_11,2);{let $0=user_derived(()=>String($$props.localConfig[get$4(field).key]??""));Textarea(node_13,{get id(){return get$4(field).key},get value(){return get$4($0)},onchange:e=>$$props.onConfigChange(get$4(field).key,e.currentTarget.value),placeholder:"",
+class:"min-h-[10rem] w-full md:max-w-2xl"})}var node_14=sibling(node_13,2);{var consequent_6=$$anchor5=>{var p_2=root_12$4(),text_2=child(p_2,!0);reset(p_2),template_effect(()=>set_text(text_2,get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])),append($$anchor5,p_2)};if_block(node_14,$$render=>{(get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])&&$$render(consequent_6)})}var node_15=sibling(node_14,2);{var consequent_7=$$anchor5=>{var div_3=root_13$7(),node_16=child(div_3);{let $0=user_derived(
+()=>!!($$props.localConfig.showSystemMessage??!0));Checkbox(node_16,{id:"showSystemMessage",get checked(){return get$4($0)},onCheckedChange:checked=>$$props.onConfigChange("showSystemMessage",!!checked)})}var node_17=sibling(node_16,2);Label(node_17,{for:"showSystemMessage",class:"cursor-pointer text-sm font-normal",children:($$anchor6,$$slotProps)=>{next$1();var text_3=text$8("Show system message in conversations");append($$anchor6,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor5,div_3)};
+if_block(node_15,$$render=>{get$4(field).key===SETTINGS_KEYS.SYSTEM_MESSAGE&&$$render(consequent_7)})}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var fragment_9=comment$2(),node_18=first_child(fragment_9);{var consequent_16=$$anchor5=>{const selectedOption=user_derived(()=>get$4(field).options?.find(opt=>opt.value===$$props.localConfig[get$4(field).key])),currentValue=user_derived(()=>$$props.localConfig[get$4(field).key]),serverDefault=user_derived(()=>get$4(sp)[get$4(field).key]),isCustomRealTime=user_derived(
+()=>get$4(serverDefault)==null||get$4(currentValue)===""||get$4(currentValue)===void 0?!1:get$4(currentValue)!==get$4(serverDefault));var fragment_10=root_16$2(),div_4=first_child(fragment_10),node_19=child(div_4);Label(node_19,{get for(){return get$4(field).key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor6,$$slotProps)=>{next$1();var fragment_11=root_17$1(),text_4=first_child(fragment_11),node_20=sibling(text_4);{var consequent_9=$$anchor7=>{Flask_conical($$anchor7,
+{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_20,$$render=>{get$4(field).isExperimental&&$$render(consequent_9)})}template_effect(()=>set_text(text_4,`${get$4(field).label??""} `)),append($$anchor6,fragment_11)},$$slots:{default:!0}});var node_21=sibling(node_19,2);{var consequent_10=$$anchor6=>{ChatSettingsParameterSourceIndicator($$anchor6,{})};if_block(node_21,$$render=>{get$4(isCustomRealTime)&&$$render(consequent_10)})}reset(div_4);var node_22=sibling(div_4,2);component(node_22,
+()=>Root,($$anchor6,Select_Root)=>{Select_Root($$anchor6,{type:"single",get value(){return get$4(currentValue)},onValueChange:value=>{get$4(field).key===SETTINGS_KEYS.THEME&&value&&$$props.onThemeChange?$$props.onThemeChange(value):$$props.onConfigChange(get$4(field).key,value)},children:($$anchor7,$$slotProps)=>{var fragment_14=root_20$3(),div_5=first_child(fragment_14),node_23=child(div_5);component(node_23,()=>Select_trigger,($$anchor8,Select_Trigger)=>{Select_Trigger($$anchor8,{class:"w-full",
+children:($$anchor9,$$slotProps2)=>{var div_6=root_21$2(),node_24=child(div_6);{var consequent_11=$$anchor10=>{const IconComponent=user_derived(()=>get$4(selectedOption).icon);var fragment_15=comment$2(),node_25=first_child(fragment_15);component(node_25,()=>get$4(IconComponent),($$anchor11,IconComponent_1)=>{IconComponent_1($$anchor11,{class:"h-4 w-4"})}),append($$anchor10,fragment_15)};if_block(node_24,$$render=>{get$4(selectedOption)?.icon&&$$render(consequent_11)})}var text_5=sibling(node_24);
+reset(div_6),template_effect($0=>set_text(text_5,` ${$0??""}`),[()=>get$4(selectedOption)?.label||`Select ${get$4(field).label.toLowerCase()}`]),append($$anchor9,div_6)},$$slots:{default:!0}})});var node_26=sibling(node_23,2);{var consequent_12=$$anchor8=>{var button_1=root_23$1();button_1.__click=()=>{settingsStore.resetParameterToServerDefault(get$4(field).key),$$props.onConfigChange(get$4(field).key,"")};var node_27=child(button_1);Rotate_ccw(node_27,{class:"h-3 w-3"}),reset(button_1),append(
+$$anchor8,button_1)};if_block(node_26,$$render=>{get$4(isCustomRealTime)&&$$render(consequent_12)})}reset(div_5);var node_28=sibling(div_5,2);component(node_28,()=>Select_content,($$anchor8,Select_Content)=>{Select_Content($$anchor8,{children:($$anchor9,$$slotProps2)=>{var fragment_16=comment$2(),node_29=first_child(fragment_16);{var consequent_14=$$anchor10=>{var fragment_17=comment$2(),node_30=first_child(fragment_17);each(node_30,17,()=>get$4(field).options,option2=>option2.value,($$anchor11,option2)=>{
+var fragment_18=comment$2(),node_31=first_child(fragment_18);component(node_31,()=>Select_item,($$anchor12,Select_Item)=>{Select_Item($$anchor12,{get value(){return get$4(option2).value},get label(){return get$4(option2).label},children:($$anchor13,$$slotProps3)=>{var div_7=root_27$1(),node_32=child(div_7);{var consequent_13=$$anchor14=>{const IconComponent=user_derived(()=>get$4(option2).icon);var fragment_19=comment$2(),node_33=first_child(fragment_19);component(node_33,()=>get$4(IconComponent),
+($$anchor15,IconComponent_2)=>{IconComponent_2($$anchor15,{class:"h-4 w-4"})}),append($$anchor14,fragment_19)};if_block(node_32,$$render=>{get$4(option2).icon&&$$render(consequent_13)})}var text_6=sibling(node_32);reset(div_7),template_effect(()=>set_text(text_6,` ${get$4(option2).label??""}`)),append($$anchor13,div_7)},$$slots:{default:!0}})}),append($$anchor11,fragment_18)}),append($$anchor10,fragment_17)};if_block(node_29,$$render=>{get$4(field).options&&$$render(consequent_14)})}append($$anchor9,
+fragment_16)},$$slots:{default:!0}})}),append($$anchor7,fragment_14)},$$slots:{default:!0}})});var node_34=sibling(node_22,2);{var consequent_15=$$anchor6=>{var p_3=root_29(),text_7=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_7,get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])),append($$anchor6,p_3)};if_block(node_34,$$render=>{(get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])&&$$render(consequent_15)})}append($$anchor5,fragment_10)},alternate=$$anchor5=>{var fragment_20=comment$2(),
+node_35=first_child(fragment_20);{var consequent_19=$$anchor6=>{var div_8=root_31(),node_36=child(div_8);{let $0=user_derived(()=>!!$$props.localConfig[get$4(field).key]);Checkbox(node_36,{get id(){return get$4(field).key},get checked(){return get$4($0)},onCheckedChange:checked=>$$props.onConfigChange(get$4(field).key,checked),class:"mt-1"})}var div_9=sibling(node_36,2),label=child(div_9),text_8=child(label),node_37=sibling(text_8);{var consequent_17=$$anchor7=>{Flask_conical($$anchor7,{class:"h\
+-3.5 w-3.5 text-muted-foreground"})};if_block(node_37,$$render=>{get$4(field).isExperimental&&$$render(consequent_17)})}reset(label);var node_38=sibling(label,2);{var consequent_18=$$anchor7=>{var p_4=root_33(),text_9=child(p_4,!0);reset(p_4),template_effect(()=>set_text(text_9,get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])),append($$anchor7,p_4)};if_block(node_38,$$render=>{(get$4(field).help||SETTING_CONFIG_INFO[get$4(field).key])&&$$render(consequent_18)})}reset(div_9),reset(div_8),
+template_effect(()=>{set_attribute(label,"for",get$4(field).key),set_text(text_8,`${get$4(field).label??""} `)}),append($$anchor6,div_8)};if_block(node_35,$$render=>{get$4(field).type===SettingsFieldType.CHECKBOX&&$$render(consequent_19)},!0)}append($$anchor5,fragment_20)};if_block(node_18,$$render=>{get$4(field).type===SettingsFieldType.SELECT?$$render(consequent_16):$$render(alternate,!1)},!0)}append($$anchor4,fragment_9)};if_block(node_10,$$render=>{get$4(field).type===SettingsFieldType.TEXTAREA?
+$$render(consequent_8):$$render(alternate_1,!1)},!0)}append($$anchor3,fragment_5)};if_block(node_1,$$render=>{get$4(field).type===SettingsFieldType.INPUT?$$render(consequent_4):$$render(alternate_2,!1)})}reset(div),append($$anchor2,div)}),append($$anchor,fragment),pop()}delegate(["click"]);var root_1$k=from_html("<!> Export conversations",1),root_3$l=from_html('<li class="truncate"> </li>'),root_4$a=from_html('<li class="italic"> </li>'),root_2$p=from_html('<div class="mt-4 grid overflow-x-auto \
+rounded-lg border border-border/50 bg-muted/30 p-4"><h5 class="mb-2 text-sm font-medium"> </h5> <ul class="space-y-1 text-sm text-muted-foreground"><!> <!></ul></div>'),root_5$e=from_html("<!> Import conversations",1),root_7$d=from_html('<li class="truncate"> </li>'),root_8$a=from_html('<li class="italic"> </li>'),root_6$d=from_html('<div class="mt-4 grid overflow-x-auto rounded-lg border border-border/50 bg-muted/30 p-4"><h5 class="mb-2 text-sm font-medium"> </h5> <ul class="space-y-1 text-sm t\
+ext-muted-foreground"><!> <!></ul></div>'),root_9$9=from_html("<!> Delete all conversations",1),root$y=from_html(`<div class="space-y-6"><div class="space-y-4"><div class="grid"><h4 class="mb-2 text-sm font-medium">Export Conversations</h4> <p class="mb-4 text-sm text-muted-foreground">Download all your conversations as a JSON file. This includes all messages, attachments, and
+				conversation history.</p> <!> <!></div> <div class="grid border-t border-border/30 pt-4"><h4 class="mb-2 text-sm font-medium">Import Conversations</h4> <p class="mb-4 text-sm text-muted-foreground">Import one or more conversations from a previously exported JSON file. This will merge with
+				your existing conversations.</p> <!> <!></div> <div class="grid border-t border-border/30 pt-4"><h4 class="mb-2 text-sm font-medium text-destructive">Delete All Conversations</h4> <p class="mb-4 text-sm text-muted-foreground">Permanently delete all conversations and their messages. This action cannot be undone.
+				Consider exporting your conversations first if you want to keep a backup.</p> <!></div></div></div> <!> <!> <!>`,1);function ChatSettingsImportExportTab($$anchor,$$props){push$1($$props,!0);let exportedConversations=state$1(proxy([])),importedConversations=state$1(proxy([])),showExportSummary=state$1(!1),showImportSummary=state$1(!1),showExportDialog=state$1(!1),showImportDialog=state$1(!1),availableConversations=state$1(proxy([])),messageCountMap=state$1(proxy(new Map)),fullImportData=state$1(
+proxy([])),showDeleteDialog=state$1(!1);async function handleExportClick(){try{const allConversations=conversations();if(allConversations.length===0){toast.info("No conversations to export");return}const conversationsWithMessages=await Promise.all(allConversations.map(async conv=>{const messages=await conversationsStore.getConversationMessages(conv.id);return{conv,messages}}));set$1(messageCountMap,createMessageCountMap(conversationsWithMessages),!0),set$1(availableConversations,allConversations,
+!0),set$1(showExportDialog,!0)}catch(err){console.error("Failed to load conversations:",err),alert("Failed to load conversations")}}async function handleExportConfirm(selectedConversations){try{const allData=await Promise.all(selectedConversations.map(async conv=>{const messages=await conversationsStore.getConversationMessages(conv.id);return{conv:snapshot(conv),messages:snapshot(messages)}}));conversationsStore.downloadConversationFile(allData,`${new Date().toISOString().split(ISO_DATE_TIME_SEPARATOR)[0]}\
+_conversations.json`),set$1(exportedConversations,selectedConversations,!0),set$1(showExportSummary,!0),set$1(showImportSummary,!1),set$1(showExportDialog,!1)}catch(err){console.error("Export failed:",err),alert("Failed to export conversations")}}async function handleImportClick(){try{const input=document.createElement("input");input.type="file",input.accept=".json",input.onchange=async e=>{const file=e.target?.files?.[0];if(file)try{const text2=await file.text(),parsedData=JSON.parse(text2);let importedData;
+if(Array.isArray(parsedData))importedData=parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error("Invalid file format: expected array of conversations or single conversation object");set$1(fullImportData,importedData,!0),set$1(availableConversations,importedData.map(item=>item.conv),!0),set$1(messageCountMap,createMessageCountMap(importedData),!0),set$1(showImportDialog,!0)}catch(err){const message=err instanceof
+Error?err.message:"Unknown error";console.error("Failed to parse file:",err),alert(`Failed to parse file: ${message}`)}},input.click()}catch(err){console.error("Import failed:",err),alert("Failed to import conversations")}}async function handleImportConfirm(selectedConversations){try{const selectedIds=new Set(selectedConversations.map(c2=>c2.id)),selectedData=snapshot(get$4(fullImportData)).filter(item=>selectedIds.has(item.conv.id));await conversationsStore.importConversationsData(selectedData),
+set$1(importedConversations,selectedConversations,!0),set$1(showImportSummary,!0),set$1(showExportSummary,!1),set$1(showImportDialog,!1)}catch(err){console.error("Import failed:",err),alert("Failed to import conversations. Please check the file format.")}}async function handleDeleteAllClick(){try{if(conversations().length===0){toast.info("No conversations to delete");return}set$1(showDeleteDialog,!0)}catch(err){console.error("Failed to load conversations for deletion:",err),toast.error("Failed t\
+o load conversations")}}async function handleDeleteAllConfirm(){try{await conversationsStore.deleteAll(),set$1(showDeleteDialog,!1)}catch(err){console.error("Failed to delete conversations:",err)}}function handleDeleteAllCancel(){set$1(showDeleteDialog,!1)}var fragment=root$y(),div=first_child(fragment),div_1=child(div),div_2=child(div_1),node2=sibling(child(div_2),4);Button(node2,{class:"w-full justify-start justify-self-start md:w-auto",onclick:handleExportClick,variant:"outline",children:($$anchor2,$$slotProps)=>{
+var fragment_1=root_1$k(),node_1=first_child(fragment_1);Download(node_1,{class:"mr-2 h-4 w-4"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_3=root_2$p(),h5=child(div_3),text_1=child(h5);reset(h5);var ul=sibling(h5,2),node_3=child(ul);each(node_3,17,()=>get$4(exportedConversations).slice(0,10),conv=>conv.id,($$anchor3,conv)=>{var li2=root_3$l(),text_2=child(li2);reset(li2),template_effect(()=>set_text(text_2,`• ${get$4(
+conv).name||"Untitled conversation"}`)),append($$anchor3,li2)});var node_4=sibling(node_3,2);{var consequent=$$anchor3=>{var li_1=root_4$a(),text_3=child(li_1);reset(li_1),template_effect(()=>set_text(text_3,`... and ${get$4(exportedConversations).length-10} more`)),append($$anchor3,li_1)};if_block(node_4,$$render=>{get$4(exportedConversations).length>10&&$$render(consequent)})}reset(ul),reset(div_3),template_effect(()=>set_text(text_1,`Exported ${get$4(exportedConversations).length??""} convers\
+ation${get$4(exportedConversations).length===1?"":"s"}`)),append($$anchor2,div_3)};if_block(node_2,$$render=>{get$4(showExportSummary)&&get$4(exportedConversations).length>0&&$$render(consequent_1)})}reset(div_2);var div_4=sibling(div_2,2),node_5=sibling(child(div_4),4);Button(node_5,{class:"w-full justify-start justify-self-start md:w-auto",onclick:handleImportClick,variant:"outline",children:($$anchor2,$$slotProps)=>{var fragment_2=root_5$e(),node_6=first_child(fragment_2);Upload(node_6,{class:"\
+mr-2 h-4 w-4"}),next$1(),append($$anchor2,fragment_2)},$$slots:{default:!0}});var node_7=sibling(node_5,2);{var consequent_3=$$anchor2=>{var div_5=root_6$d(),h5_1=child(div_5),text_4=child(h5_1);reset(h5_1);var ul_1=sibling(h5_1,2),node_8=child(ul_1);each(node_8,17,()=>get$4(importedConversations).slice(0,10),conv=>conv.id,($$anchor3,conv)=>{var li_2=root_7$d(),text_5=child(li_2);reset(li_2),template_effect(()=>set_text(text_5,`• ${get$4(conv).name||"Untitled conversation"}`)),append($$anchor3,
+li_2)});var node_9=sibling(node_8,2);{var consequent_2=$$anchor3=>{var li_3=root_8$a(),text_6=child(li_3);reset(li_3),template_effect(()=>set_text(text_6,`... and ${get$4(importedConversations).length-10} more`)),append($$anchor3,li_3)};if_block(node_9,$$render=>{get$4(importedConversations).length>10&&$$render(consequent_2)})}reset(ul_1),reset(div_5),template_effect(()=>set_text(text_4,`Imported ${get$4(importedConversations).length??""} conversation${get$4(importedConversations).length===1?"":
+"s"}`)),append($$anchor2,div_5)};if_block(node_7,$$render=>{get$4(showImportSummary)&&get$4(importedConversations).length>0&&$$render(consequent_3)})}reset(div_4);var div_6=sibling(div_4,2),node_10=sibling(child(div_6),4);Button(node_10,{class:"text-destructive-foreground w-full justify-start justify-self-start bg-destructive hover:bg-destructive/80 md:w-auto",onclick:handleDeleteAllClick,variant:"destructive",children:($$anchor2,$$slotProps)=>{var fragment_3=root_9$9(),node_11=first_child(fragment_3);
+Trash_2(node_11,{class:"mr-2 h-4 w-4"}),next$1(),append($$anchor2,fragment_3)},$$slots:{default:!0}}),reset(div_6),reset(div_1),reset(div);var node_12=sibling(div,2);DialogConversationSelection(node_12,{get conversations(){return get$4(availableConversations)},get messageCountMap(){return get$4(messageCountMap)},mode:"export",onCancel:()=>set$1(showExportDialog,!1),onConfirm:handleExportConfirm,get open(){return get$4(showExportDialog)},set open($$value){set$1(showExportDialog,$$value,!0)}});var node_13=sibling(
+node_12,2);DialogConversationSelection(node_13,{get conversations(){return get$4(availableConversations)},get messageCountMap(){return get$4(messageCountMap)},mode:"import",onCancel:()=>set$1(showImportDialog,!1),onConfirm:handleImportConfirm,get open(){return get$4(showImportDialog)},set open($$value){set$1(showImportDialog,$$value,!0)}});var node_14=sibling(node_13,2);DialogConfirmation(node_14,{title:"Delete all conversations",description:"Are you sure you want to delete all conversations? Th\
+is action cannot be undone and will permanently remove all your conversations and messages.",confirmText:"Delete All",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleDeleteAllConfirm,onCancel:handleDeleteAllCancel,get open(){return get$4(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_1$j=from_html("<!> Custom",1);function ChatSettingsParameterSourceIndicator($$anchor,$$props){let className=prop(
+$$props,"class",3,"");Badge($$anchor,{variant:"secondary",get class(){return`h-5 bg-orange-100 px-1.5 py-0.5 text-xs text-orange-800 dark:bg-orange-900 dark:text-orange-200 ${className()??""}`},children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$j(),node2=first_child(fragment_1);Wrench(node2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var root_1$i=from_html('<div class="relative"><!> <!> <!></div>'),root_3$k=from_html('<div class="flex items-center \
+gap-2"><!> New chat</div> <!>',1),root_4$9=from_html('<div class="flex items-center gap-2"><!> Search</div> <!>',1),root_5$d=from_html('<div class="flex items-center gap-2"><!> MCP Servers</div>'),root_2$o=from_html("<!> <!> <!>",1),root$x=from_html('<div class="my-1 space-y-1"><!></div>');function ChatSidebarActions($$anchor,$$props){push$1($$props,!0);let isSearchModeActive=prop($$props,"isSearchModeActive",15),searchQuery=prop($$props,"searchQuery",15),searchInput=state$1(null);const chatSettingsDialog=getChatSettingsDialogContext();
+function handleSearchModeDeactivate(){isSearchModeActive(!1),searchQuery("")}user_effect(()=>{isSearchModeActive()&&get$4(searchInput)?.focus()});var div=root$x(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$i(),node_1=child(div_1);Search(node_1,{class:"absolute top-2.5 left-2 h-4 w-4 text-muted-foreground"});var node_2=sibling(node_1,2);Input(node_2,{onkeydown:e=>e.key==="Escape"&&handleSearchModeDeactivate(),placeholder:"Search conversations...",class:"pl-8",get ref(){return get$4(
+searchInput)},set ref($$value){set$1(searchInput,$$value,!0)},get value(){return searchQuery()},set value($$value){searchQuery($$value)}});var node_3=sibling(node_2,2);X(node_3,{class:"cursor-pointertext-muted-foreground absolute top-2.5 right-2 h-4 w-4",onclick:handleSearchModeDeactivate}),reset(div_1),append($$anchor2,div_1)},alternate=$$anchor2=>{var fragment=root_2$o(),node_4=first_child(fragment);Button(node_4,{class:"w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100",href:"\
+?new_chat=true#/",get onclick(){return $$props.handleMobileSidebarItemClick},variant:"ghost",children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$k(),div_2=first_child(fragment_1),node_5=child(div_2);Square_pen(node_5,{class:"h-4 w-4"}),next$1(),reset(div_2);var node_6=sibling(div_2,2);KeyboardShortcutInfo(node_6,{keys:["shift","cmd","o"]}),append($$anchor3,fragment_1)},$$slots:{default:!0}});var node_7=sibling(node_4,2);Button(node_7,{class:"w-full justify-between backdrop-blur-none! hover:\
+[&>kbd]:opacity-100",onclick:()=>{isSearchModeActive(!0)},variant:"ghost",children:($$anchor3,$$slotProps)=>{var fragment_2=root_4$9(),div_3=first_child(fragment_2),node_8=child(div_3);Search(node_8,{class:"h-4 w-4"}),next$1(),reset(div_3);var node_9=sibling(div_3,2);KeyboardShortcutInfo(node_9,{keys:["cmd","k"]}),append($$anchor3,fragment_2)},$$slots:{default:!0}});var node_10=sibling(node_7,2);Button(node_10,{class:"w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100",onclick:()=>{
+chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)},variant:"ghost",children:($$anchor3,$$slotProps)=>{var div_4=root_5$d(),node_11=child(div_4);McpLogo(node_11,{class:"h-4 w-4"}),next$1(),reset(div_4),append($$anchor3,div_4)},$$slots:{default:!0}}),append($$anchor2,fragment)};if_block(node2,$$render=>{isSearchModeActive()?$$render(consequent):$$render(alternate,!1)})}reset(div),append($$anchor,div),pop()}var root_2$n=from_html('<a href="#/"><h1 class="inline-flex items-center gap-1 px-2 text-\
+xl font-semibold">llama.cpp</h1></a> <!>',1),root_10$7=from_html('<div class="px-2 py-4 text-center"><p class="mb-4 p-4 text-sm text-muted-foreground"> </p></div>'),root_7$c=from_html("<!> <!>",1),root_3$j=from_html("<!> <!>",1),root_1$h=from_html("<!> <!>",1),root_12$3=from_html('<div class="flex items-center gap-2 py-2"><!> <!></div>'),root$w=from_html("<!> <!> <!>",1);function ChatSidebar($$anchor,$$props){push$1($$props,!0);const sidebar=useSidebar();let currentChatId=user_derived(()=>page$1.
+params.id),isSearchModeActive=state$1(!1),searchQuery=state$1(""),showDeleteDialog=state$1(!1),deleteWithForks=state$1(!1),showEditDialog=state$1(!1),selectedConversation=state$1(null),editedName=state$1(""),selectedConversationNamePreview=user_derived(()=>get$4(selectedConversation)?getPreviewText(get$4(selectedConversation).name):""),filteredConversations=user_derived(()=>get$4(searchQuery).trim().length>0?conversations().filter(conversation=>conversation.name.toLowerCase().includes(get$4(searchQuery).
+toLowerCase())):conversations()),conversationTree=user_derived(()=>buildConversationTree(get$4(filteredConversations))),selectedConversationHasDescendants=user_derived(()=>{if(!get$4(selectedConversation))return!1;const allConvs=conversations(),queue=[get$4(selectedConversation).id];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of allConvs)if(c2.forkedFromConversationId===parentId)return!0}return!1});async function handleDeleteConversation(id2){const conversation=conversations().
+find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(deleteWithForks,!1),set$1(showDeleteDialog,!0))}async function handleEditConversation(id2){const conversation=conversations().find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(editedName,conversation.name,!0),set$1(showEditDialog,!0))}function handleConfirmDelete(){if(get$4(selectedConversation)){const convId=get$4(selectedConversation).id,withForks=get$4(deleteWithForks);
+set$1(showDeleteDialog,!1),setTimeout(()=>{conversationsStore.deleteConversation(convId,{deleteWithForks:withForks})},100)}}function handleConfirmEdit(){!get$4(editedName).trim()||!get$4(selectedConversation)||(set$1(showEditDialog,!1),conversationsStore.updateConversationName(get$4(selectedConversation).id,get$4(editedName)),set$1(selectedConversation,null))}function handleMobileSidebarItemClick(){sidebar.isMobile&&sidebar.toggle()}function activateSearchMode(){set$1(isSearchModeActive,!0)}function editActiveConversation(){
+if(get$4(currentChatId)&&get$4(filteredConversations).find(conv=>conv.id===get$4(currentChatId))){const event2=new CustomEvent("edit-active-conversation",{detail:{conversationId:get$4(currentChatId)}});document.dispatchEvent(event2)}}async function selectConversation(id2){get$4(isSearchModeActive)&&(set$1(isSearchModeActive,!1),set$1(searchQuery,"")),await goto(`#/chat/${id2}`)}function handleStopGeneration(id2){chatStore.stopGenerationForChat(id2)}var $$exports={handleMobileSidebarItemClick,activateSearchMode,
+editActiveConversation},fragment=root$w(),node2=first_child(fragment);Scroll_area(node2,{class:"h-[100vh]",children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$h(),node_1=first_child(fragment_1);component(node_1,()=>Sidebar_header,($$anchor3,Sidebar_Header)=>{Sidebar_Header($$anchor3,{class:" top-0 z-10 gap-4 bg-sidebar/50 p-4 pb-2 backdrop-blur-lg md:sticky",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$n(),a=first_child(fragment_2);a.__click=handleMobileSidebarItemClick;var node_2=sibling(
+a,2);ChatSidebarActions(node_2,{handleMobileSidebarItemClick,get isSearchModeActive(){return get$4(isSearchModeActive)},set isSearchModeActive($$value){set$1(isSearchModeActive,$$value,!0)},get searchQuery(){return get$4(searchQuery)},set searchQuery($$value){set$1(searchQuery,$$value,!0)}}),append($$anchor4,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Sidebar_group,($$anchor3,Sidebar_Group)=>{Sidebar_Group($$anchor3,{class:"mt-2 space-y-2 p-0 px-4",children:($$anchor4,$$slotProps2)=>{
+var fragment_3=root_3$j(),node_4=first_child(fragment_3);{var consequent=$$anchor5=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);component(node_5,()=>Sidebar_group_label,($$anchor6,Sidebar_GroupLabel)=>{Sidebar_GroupLabel($$anchor6,{children:($$anchor7,$$slotProps3)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,get$4(isSearchModeActive)?"Search results":"Conversations")),append($$anchor7,text2)},$$slots:{default:!0}})}),append($$anchor5,fragment_4)};if_block(node_4,
+$$render=>{(get$4(filteredConversations).length>0&&get$4(isSearchModeActive)||!get$4(isSearchModeActive))&&$$render(consequent)})}var node_6=sibling(node_4,2);component(node_6,()=>Sidebar_group_content,($$anchor5,Sidebar_GroupContent)=>{Sidebar_GroupContent($$anchor5,{children:($$anchor6,$$slotProps3)=>{var fragment_6=comment$2(),node_7=first_child(fragment_6);component(node_7,()=>Sidebar_menu,($$anchor7,Sidebar_Menu)=>{Sidebar_Menu($$anchor7,{children:($$anchor8,$$slotProps4)=>{var fragment_7=root_7$c(),
+node_8=first_child(fragment_7);each(node_8,17,()=>get$4(conversationTree),({conversation,depth})=>conversation.id,($$anchor9,$$item)=>{let conversation=()=>get$4($$item).conversation,depth=()=>get$4($$item).depth;var fragment_8=comment$2(),node_9=first_child(fragment_8);component(node_9,()=>Sidebar_menu_item,($$anchor10,Sidebar_MenuItem)=>{Sidebar_MenuItem($$anchor10,{class:"mb-1 p-0",children:($$anchor11,$$slotProps5)=>{{let $0=user_derived(()=>({id:conversation().id,name:conversation().name,lastModified:conversation().
+lastModified,currNode:conversation().currNode,forkedFromConversationId:conversation().forkedFromConversationId})),$1=user_derived(()=>get$4(currentChatId)===conversation().id);ChatSidebarConversationItem($$anchor11,{get conversation(){return get$4($0)},get depth(){return depth()},handleMobileSidebarItemClick,get isActive(){return get$4($1)},onSelect:selectConversation,onEdit:handleEditConversation,onDelete:handleDeleteConversation,onStop:handleStopGeneration})}},$$slots:{default:!0}})}),append($$anchor9,
+fragment_8)});var node_10=sibling(node_8,2);{var consequent_1=$$anchor9=>{var div=root_10$7(),p2=child(div),text_1=child(p2,!0);reset(p2),reset(div),template_effect(()=>set_text(text_1,get$4(searchQuery).length>0?"No results found":get$4(isSearchModeActive)?"Start typing to see results":"No conversations yet")),append($$anchor9,div)};if_block(node_10,$$render=>{get$4(conversationTree).length===0&&$$render(consequent_1)})}append($$anchor8,fragment_7)},$$slots:{default:!0}})}),append($$anchor6,fragment_6)},
+$$slots:{default:!0}})}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_11=sibling(node2,2);{let $0=user_derived(()=>get$4(selectedConversation)?`Are you sure you want to delete "${get$4(selectedConversationNamePreview)}"? This action cannot be undone and will permanently remove all messages in this conversation.`:"");DialogConfirmation(node_11,{title:"Delete Conversation",get description(){return get$4($0)},confirmText:"Delet\
+e",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>{set$1(showDeleteDialog,!1),set$1(selectedConversation,null)},get open(){return get$4(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var fragment_10=comment$2(),node_12=first_child(fragment_10);{var consequent_2=$$anchor3=>{var div_1=root_12$3(),node_13=child(div_1);Checkbox(node_13,{id:"delete-with-forks",get checked(){return get$4(
+deleteWithForks)},set checked($$value){set$1(deleteWithForks,$$value,!0)}});var node_14=sibling(node_13,2);Label(node_14,{for:"delete-with-forks",class:"text-sm",children:($$anchor4,$$slotProps2)=>{next$1();var text_2=text$8("Also delete all forked conversations");append($$anchor4,text_2)},$$slots:{default:!0}}),reset(div_1),append($$anchor3,div_1)};if_block(node_12,$$render=>{get$4(selectedConversationHasDescendants)&&$$render(consequent_2)})}append($$anchor2,fragment_10)},$$slots:{default:!0}})}
+var node_15=sibling(node_11,2);return DialogConfirmation(node_15,{title:"Edit Conversation Name",description:"",confirmText:"Save",cancelText:"Cancel",get icon(){return Pencil},onConfirm:handleConfirmEdit,onCancel:()=>{set$1(showEditDialog,!1),set$1(selectedConversation,null)},onKeydown:e=>{e.key==="Enter"&&(e.preventDefault(),e.stopImmediatePropagation(),handleConfirmEdit())},get open(){return get$4(showEditDialog)},set open($$value){set$1(showEditDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{
+Input($$anchor2,{class:"text-foreground",placeholder:"Enter a new name",type:"text",get value(){return get$4(editedName)},set value($$value){set$1(editedName,$$value,!0)}})},$$slots:{default:!0}}),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_3$i=from_html('<a class="flex shrink-0 items-center text-muted-foreground transition-colors hover:text-foreground"><!></a>'),root_4$8=from_html("<p>See parent conversation</p>"),root_2$m=from_html("<!> <!>",1),root_7$b=from_html('<di\
+v class="stop-button flex h-4 w-4 shrink-0 cursor-pointer items-center justify-center rounded text-muted-foreground transition-colors hover:text-foreground svelte-76ksb2" role="button" tabindex="0" aria-label="Stop generation"><!> <!></div>'),root_8$9=from_html("<p>Stop generation</p>"),root_6$c=from_html("<!> <!>",1),root_9$8=from_html('<div class="actions flex items-center"><!></div>'),root$v=from_html('<button><div class="flex min-w-0 flex-1 items-center gap-2"><!> <!>  <span class="truncate \
+text-sm font-medium"> </span></div> <!></button>');function ChatSidebarConversationItem($$anchor,$$props){push$1($$props,!0);let isActive=prop($$props,"isActive",3,!1),depth=prop($$props,"depth",3,0),renderActionsDropdown=state$1(!1),dropdownOpen=state$1(!1),isLoading2=user_derived(()=>getAllLoadingChats().includes($$props.conversation.id));function handleEdit(event2){event2.stopPropagation(),$$props.onEdit?.($$props.conversation.id)}function handleDelete2(event2){event2.stopPropagation(),$$props.
+onDelete?.($$props.conversation.id)}function handleStop(event2){event2.stopPropagation(),$$props.onStop?.($$props.conversation.id)}function handleGlobalEditEvent(event2){event2.detail.conversationId===$$props.conversation.id&&isActive()&&handleEdit(event2)}function handleMouseLeave(){get$4(dropdownOpen)||set$1(renderActionsDropdown,!1)}function handleMouseOver(){set$1(renderActionsDropdown,!0)}function handleSelect(){$$props.onSelect?.($$props.conversation.id)}user_effect(()=>{get$4(dropdownOpen)||
+set$1(renderActionsDropdown,!1)}),onMount$1(()=>(document.addEventListener("edit-active-conversation",handleGlobalEditEvent),()=>{document.removeEventListener("edit-active-conversation",handleGlobalEditEvent)}));var button=root$v();button.__click=handleSelect,button.__mouseover=handleMouseOver;var div=child(button);let styles2;var node2=child(div);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root(
+$$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$m(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var a=root_3$i(),node_3=child(a);Git_branch(node_3,{class:"h-3.5 w-3.5"}),reset(a),template_effect(()=>set_attribute(a,"href",`#/chat/${$$props.conversation.forkedFromConversationId??""}`)),append($$anchor6,a)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(
+node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$8();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{depth()>0&&$$render(consequent)})}var node_5=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor3,Tooltip_Root_1)=>{
+Tooltip_Root_1($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$c(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var div_1=root_7$b();div_1.__click=handleStop,div_1.__keydown=e=>e.key==="Enter"&&handleStop(e);var node_8=child(div_1);Loader_circle(node_8,{class:"loading-icon h-3.5 w-3.5 animate-spin"});var node_9=sibling(node_8,2);Square(node_9,{class:"stop-ic\
+on hidden h-3 w-3 fill-current text-destructive"}),reset(div_1),append($$anchor6,div_1)},$$slots:{default:!0}})});var node_10=sibling(node_7,2);component(node_10,()=>Tooltip_content,($$anchor5,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_1=root_8$9();append($$anchor6,p_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}),append($$anchor2,fragment_2)};if_block(node_5,$$render=>{get$4(isLoading2)&&$$render(consequent_1)})}
+var span=sibling(node_5,2);span.__click=function(...$$args){$$props.handleMobileSidebarItemClick?.apply(this,$$args)};var text2=child(span,!0);reset(span),reset(div);var node_11=sibling(div,2);{var consequent_2=$$anchor2=>{var div_2=root_9$8(),node_12=child(div_2);{let $0=user_derived(()=>[{icon:Pencil,label:"Edit",onclick:handleEdit,shortcut:["shift","cmd","e"]},{icon:Download,label:"Export",onclick:e=>{e.stopPropagation(),conversationsStore.downloadConversation($$props.conversation.id)},shortcut:[
+"shift","cmd","s"]},{icon:Trash_2,label:"Delete",onclick:handleDelete2,variant:"destructive",shortcut:["shift","cmd","d"],separator:!0}]);DropdownMenuActions(node_12,{get triggerIcon(){return Ellipsis},triggerTooltip:"More actions",get actions(){return get$4($0)},get open(){return get$4(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)}})}reset(div_2),append($$anchor2,div_2)};if_block(node_11,$$render=>{get$4(renderActionsDropdown)&&$$render(consequent_2)})}reset(button),template_effect(
+()=>{set_class(button,1,`group flex min-h-9 w-full cursor-pointer items-center justify-between space-x-3 rounded-lg py-1.5 text-left transition-colors hover:bg-foreground/10 ${isActive()?"bg-foreground/5 text-accent-foreground":""} px-3`,"svelte-76ksb2"),styles2=set_style(div,"",styles2,{"padding-left":`${depth()*FORK_TREE_DEPTH_PADDING}px`}),set_text(text2,$$props.conversation.name)}),event("mouseleave",button,handleMouseLeave),append($$anchor,button),pop()}delegate(["click","mouseover","keydow\
+n"]);const emptyOptions$7={};function toString$1(value,options){const settings=emptyOptions$7,includeImageAlt=typeof settings.includeImageAlt=="boolean"?settings.includeImageAlt:!0,includeHtml=typeof settings.includeHtml=="boolean"?settings.includeHtml:!0;return one$2(value,includeImageAlt,includeHtml)}function one$2(value,includeImageAlt,includeHtml){if(node(value)){if("value"in value)return value.type==="html"&&!includeHtml?"":value.value;if(includeImageAlt&&"alt"in value&&value.alt)return value.
+alt;if("children"in value)return all$2(value.children,includeImageAlt,includeHtml)}return Array.isArray(value)?all$2(value,includeImageAlt,includeHtml):""}function all$2(values,includeImageAlt,includeHtml){const result=[];let index2=-1;for(;++index2<values.length;)result[index2]=one$2(values[index2],includeImageAlt,includeHtml);return result.join("")}function node(value){return!!(value&&typeof value=="object")}const element$3=document.createElement("i");function decodeNamedCharacterReference(value){
+const characterReference2="&"+value+";";element$3.innerHTML=characterReference2;const character=element$3.textContent;return character.charCodeAt(character.length-1)===59&&value!=="semi"||character===characterReference2?!1:character}function splice(list2,start2,remove2,items2){const end=list2.length;let chunkStart=0,parameters;if(start2<0?start2=-start2>end?0:end+start2:start2=start2>end?end:start2,remove2=remove2>0?remove2:0,items2.length<1e4)parameters=Array.from(items2),parameters.unshift(start2,
+remove2),list2.splice(...parameters);else for(remove2&&list2.splice(start2,remove2);chunkStart<items2.length;)parameters=items2.slice(chunkStart,chunkStart+1e4),parameters.unshift(start2,0),list2.splice(...parameters),chunkStart+=1e4,start2+=1e4}function push(list2,items2){return list2.length>0?(splice(list2,list2.length,0,items2),list2):items2}const hasOwnProperty={}.hasOwnProperty;function combineExtensions(extensions){const all2={};let index2=-1;for(;++index2<extensions.length;)syntaxExtension(
+all2,extensions[index2]);return all2}function syntaxExtension(all2,extension2){let hook;for(hook in extension2){const left=(hasOwnProperty.call(all2,hook)?all2[hook]:void 0)||(all2[hook]={}),right=extension2[hook];let code2;if(right)for(code2 in right){hasOwnProperty.call(left,code2)||(left[code2]=[]);const value=right[code2];constructs(left[code2],Array.isArray(value)?value:value?[value]:[])}}}function constructs(existing,list2){let index2=-1;const before=[];for(;++index2<list2.length;)(list2[index2].
+add==="after"?existing:before).push(list2[index2]);splice(existing,0,0,before)}function decodeNumericCharacterReference(value,base2){const code2=Number.parseInt(value,base2);return code2<9||code2===11||code2>13&&code2<32||code2>126&&code2<160||code2>55295&&code2<57344||code2>64975&&code2<65008||(code2&65535)===65535||(code2&65535)===65534||code2>1114111?"�":String.fromCodePoint(code2)}function normalizeIdentifier(value){return value.replace(/[\t\n\r ]+/g," ").replace(/^ | $/g,"").toLowerCase().
+toUpperCase()}const asciiAlpha=regexCheck(/[A-Za-z]/),asciiAlphanumeric=regexCheck(/[\dA-Za-z]/),asciiAtext=regexCheck(/[#-'*+\--9=?A-Z^-~]/);function asciiControl(code2){return code2!==null&&(code2<32||code2===127)}const asciiDigit=regexCheck(/\d/),asciiHexDigit=regexCheck(/[\dA-Fa-f]/),asciiPunctuation=regexCheck(/[!-/:-@[-`{-~]/);function markdownLineEnding(code2){return code2!==null&&code2<-2}function markdownLineEndingOrSpace(code2){return code2!==null&&(code2<0||code2===32)}function markdownSpace(code2){
+return code2===-2||code2===-1||code2===32}const unicodePunctuation=regexCheck(new RegExp("\\p{P}|\\p{S}","u")),unicodeWhitespace=regexCheck(/\s/);function regexCheck(regex){return check;function check(code2){return code2!==null&&code2>-1&&regex.test(String.fromCharCode(code2))}}function normalizeUri(value){const result=[];let index2=-1,start2=0,skip=0;for(;++index2<value.length;){const code2=value.charCodeAt(index2);let replace2="";if(code2===37&&asciiAlphanumeric(value.charCodeAt(index2+1))&&asciiAlphanumeric(
+value.charCodeAt(index2+2)))skip=2;else if(code2<128)/[!#$&-;=?-Z_a-z~]/.test(String.fromCharCode(code2))||(replace2=String.fromCharCode(code2));else if(code2>55295&&code2<57344){const next2=value.charCodeAt(index2+1);code2<56320&&next2>56319&&next2<57344?(replace2=String.fromCharCode(code2,next2),skip=1):replace2="�"}else replace2=String.fromCharCode(code2);replace2&&(result.push(value.slice(start2,index2),encodeURIComponent(replace2)),start2=index2+skip+1,replace2=""),skip&&(index2+=skip,skip=
+0)}return result.join("")+value.slice(start2)}function factorySpace(effects,ok,type2,max2){const limit2=max2?max2-1:Number.POSITIVE_INFINITY;let size2=0;return start2;function start2(code2){return markdownSpace(code2)?(effects.enter(type2),prefix(code2)):ok(code2)}function prefix(code2){return markdownSpace(code2)&&size2++<limit2?(effects.consume(code2),prefix):(effects.exit(type2),ok(code2))}}const content$1={tokenize:initializeContent};function initializeContent(effects){const contentStart=effects.
+attempt(this.parser.constructs.contentInitial,afterContentStartConstruct,paragraphInitial);let previous2;return contentStart;function afterContentStartConstruct(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,contentStart,"linePrefix")}function paragraphInitial(code2){return effects.enter("paragraph"),lineStart(code2)}function lineStart(code2){const token2=effects.enter("chunkText",{contentType:"\
+text",previous:previous2});return previous2&&(previous2.next=token2),previous2=token2,data(code2)}function data(code2){if(code2===null){effects.exit("chunkText"),effects.exit("paragraph"),effects.consume(code2);return}return markdownLineEnding(code2)?(effects.consume(code2),effects.exit("chunkText"),lineStart):(effects.consume(code2),data)}}const document$2={tokenize:initializeDocument},containerConstruct={tokenize:tokenizeContainer};function initializeDocument(effects){const self2=this,stack=[];
+let continued=0,childFlow,childToken,lineStartOffset;return start2;function start2(code2){if(continued<stack.length){const item=stack[continued];return self2.containerState=item[1],effects.attempt(item[0].continuation,documentContinue,checkNewContainers)(code2)}return checkNewContainers(code2)}function documentContinue(code2){if(continued++,self2.containerState._closeFlow){self2.containerState._closeFlow=void 0,childFlow&&closeFlow();const indexBeforeExits=self2.events.length;let indexBeforeFlow=indexBeforeExits,
+point2;for(;indexBeforeFlow--;)if(self2.events[indexBeforeFlow][0]==="exit"&&self2.events[indexBeforeFlow][1].type==="chunkFlow"){point2=self2.events[indexBeforeFlow][1].end;break}exitContainers(continued);let index2=indexBeforeExits;for(;index2<self2.events.length;)self2.events[index2][1].end={...point2},index2++;return splice(self2.events,indexBeforeFlow+1,0,self2.events.slice(indexBeforeExits)),self2.events.length=index2,checkNewContainers(code2)}return start2(code2)}function checkNewContainers(code2){
+if(continued===stack.length){if(!childFlow)return documentContinued(code2);if(childFlow.currentConstruct&&childFlow.currentConstruct.concrete)return flowStart(code2);self2.interrupt=!!(childFlow.currentConstruct&&!childFlow._gfmTableDynamicInterruptHack)}return self2.containerState={},effects.check(containerConstruct,thereIsANewContainer,thereIsNoNewContainer)(code2)}function thereIsANewContainer(code2){return childFlow&&closeFlow(),exitContainers(continued),documentContinued(code2)}function thereIsNoNewContainer(code2){
+return self2.parser.lazy[self2.now().line]=continued!==stack.length,lineStartOffset=self2.now().offset,flowStart(code2)}function documentContinued(code2){return self2.containerState={},effects.attempt(containerConstruct,containerContinue,flowStart)(code2)}function containerContinue(code2){return continued++,stack.push([self2.currentConstruct,self2.containerState]),documentContinued(code2)}function flowStart(code2){if(code2===null){childFlow&&closeFlow(),exitContainers(0),effects.consume(code2);return}
+return childFlow=childFlow||self2.parser.flow(self2.now()),effects.enter("chunkFlow",{_tokenizer:childFlow,contentType:"flow",previous:childToken}),flowContinue(code2)}function flowContinue(code2){if(code2===null){writeToChild(effects.exit("chunkFlow"),!0),exitContainers(0),effects.consume(code2);return}return markdownLineEnding(code2)?(effects.consume(code2),writeToChild(effects.exit("chunkFlow")),continued=0,self2.interrupt=void 0,start2):(effects.consume(code2),flowContinue)}function writeToChild(token2,endOfFile){
+const stream=self2.sliceStream(token2);if(endOfFile&&stream.push(null),token2.previous=childToken,childToken&&(childToken.next=token2),childToken=token2,childFlow.defineSkip(token2.start),childFlow.write(stream),self2.parser.lazy[token2.start.line]){let index2=childFlow.events.length;for(;index2--;)if(childFlow.events[index2][1].start.offset<lineStartOffset&&(!childFlow.events[index2][1].end||childFlow.events[index2][1].end.offset>lineStartOffset))return;const indexBeforeExits=self2.events.length;
+let indexBeforeFlow=indexBeforeExits,seen2,point2;for(;indexBeforeFlow--;)if(self2.events[indexBeforeFlow][0]==="exit"&&self2.events[indexBeforeFlow][1].type==="chunkFlow"){if(seen2){point2=self2.events[indexBeforeFlow][1].end;break}seen2=!0}for(exitContainers(continued),index2=indexBeforeExits;index2<self2.events.length;)self2.events[index2][1].end={...point2},index2++;splice(self2.events,indexBeforeFlow+1,0,self2.events.slice(indexBeforeExits)),self2.events.length=index2}}function exitContainers(size2){
+let index2=stack.length;for(;index2-- >size2;){const entry=stack[index2];self2.containerState=entry[1],entry[0].exit.call(self2,effects)}stack.length=size2}function closeFlow(){childFlow.write([null]),childToken=void 0,childFlow=void 0,self2.containerState._closeFlow=void 0}}function tokenizeContainer(effects,ok,nok){return factorySpace(effects,effects.attempt(this.parser.constructs.document,ok,nok),"linePrefix",this.parser.constructs.disable.null.includes("codeIndented")?void 0:4)}function classifyCharacter(code2){
+if(code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2))return 1;if(unicodePunctuation(code2))return 2}function resolveAll(constructs2,events,context){const called=[];let index2=-1;for(;++index2<constructs2.length;){const resolve2=constructs2[index2].resolveAll;resolve2&&!called.includes(resolve2)&&(events=resolve2(events,context),called.push(resolve2))}return events}const attention={name:"attention",resolveAll:resolveAllAttention,tokenize:tokenizeAttention};function resolveAllAttention(events,context){
+let index2=-1,open2,group,text2,openingSequence,closingSequence,use,nextEvents,offset2;for(;++index2<events.length;)if(events[index2][0]==="enter"&&events[index2][1].type==="attentionSequence"&&events[index2][1]._close){for(open2=index2;open2--;)if(events[open2][0]==="exit"&&events[open2][1].type==="attentionSequence"&&events[open2][1]._open&&context.sliceSerialize(events[open2][1]).charCodeAt(0)===context.sliceSerialize(events[index2][1]).charCodeAt(0)){if((events[open2][1]._close||events[index2][1].
+_open)&&(events[index2][1].end.offset-events[index2][1].start.offset)%3&&!((events[open2][1].end.offset-events[open2][1].start.offset+events[index2][1].end.offset-events[index2][1].start.offset)%3))continue;use=events[open2][1].end.offset-events[open2][1].start.offset>1&&events[index2][1].end.offset-events[index2][1].start.offset>1?2:1;const start2={...events[open2][1].end},end={...events[index2][1].start};movePoint(start2,-use),movePoint(end,use),openingSequence={type:use>1?"strongSequence":"em\
+phasisSequence",start:start2,end:{...events[open2][1].end}},closingSequence={type:use>1?"strongSequence":"emphasisSequence",start:{...events[index2][1].start},end},text2={type:use>1?"strongText":"emphasisText",start:{...events[open2][1].end},end:{...events[index2][1].start}},group={type:use>1?"strong":"emphasis",start:{...openingSequence.start},end:{...closingSequence.end}},events[open2][1].end={...openingSequence.start},events[index2][1].start={...closingSequence.end},nextEvents=[],events[open2][1].
+end.offset-events[open2][1].start.offset&&(nextEvents=push(nextEvents,[["enter",events[open2][1],context],["exit",events[open2][1],context]])),nextEvents=push(nextEvents,[["enter",group,context],["enter",openingSequence,context],["exit",openingSequence,context],["enter",text2,context]]),nextEvents=push(nextEvents,resolveAll(context.parser.constructs.insideSpan.null,events.slice(open2+1,index2),context)),nextEvents=push(nextEvents,[["exit",text2,context],["enter",closingSequence,context],["exit",
+closingSequence,context],["exit",group,context]]),events[index2][1].end.offset-events[index2][1].start.offset?(offset2=2,nextEvents=push(nextEvents,[["enter",events[index2][1],context],["exit",events[index2][1],context]])):offset2=0,splice(events,open2-1,index2-open2+3,nextEvents),index2=open2+nextEvents.length-offset2-2;break}}for(index2=-1;++index2<events.length;)events[index2][1].type==="attentionSequence"&&(events[index2][1].type="data");return events}function tokenizeAttention(effects,ok){const attentionMarkers2=this.
+parser.constructs.attentionMarkers.null,previous2=this.previous,before=classifyCharacter(previous2);let marker;return start2;function start2(code2){return marker=code2,effects.enter("attentionSequence"),inside(code2)}function inside(code2){if(code2===marker)return effects.consume(code2),inside;const token2=effects.exit("attentionSequence"),after=classifyCharacter(code2),open2=!after||after===2&&before||attentionMarkers2.includes(code2),close2=!before||before===2&&after||attentionMarkers2.includes(
+previous2);return token2._open=!!(marker===42?open2:open2&&(before||!close2)),token2._close=!!(marker===42?close2:close2&&(after||!open2)),ok(code2)}}function movePoint(point2,offset2){point2.column+=offset2,point2.offset+=offset2,point2._bufferIndex+=offset2}const autolink={name:"autolink",tokenize:tokenizeAutolink};function tokenizeAutolink(effects,ok,nok){let size2=0;return start2;function start2(code2){return effects.enter("autolink"),effects.enter("autolinkMarker"),effects.consume(code2),effects.
+exit("autolinkMarker"),effects.enter("autolinkProtocol"),open2}function open2(code2){return asciiAlpha(code2)?(effects.consume(code2),schemeOrEmailAtext):code2===64?nok(code2):emailAtext(code2)}function schemeOrEmailAtext(code2){return code2===43||code2===45||code2===46||asciiAlphanumeric(code2)?(size2=1,schemeInsideOrEmailAtext(code2)):emailAtext(code2)}function schemeInsideOrEmailAtext(code2){return code2===58?(effects.consume(code2),size2=0,urlInside):(code2===43||code2===45||code2===46||asciiAlphanumeric(
+code2))&&size2++<32?(effects.consume(code2),schemeInsideOrEmailAtext):(size2=0,emailAtext(code2))}function urlInside(code2){return code2===62?(effects.exit("autolinkProtocol"),effects.enter("autolinkMarker"),effects.consume(code2),effects.exit("autolinkMarker"),effects.exit("autolink"),ok):code2===null||code2===32||code2===60||asciiControl(code2)?nok(code2):(effects.consume(code2),urlInside)}function emailAtext(code2){return code2===64?(effects.consume(code2),emailAtSignOrDot):asciiAtext(code2)?
+(effects.consume(code2),emailAtext):nok(code2)}function emailAtSignOrDot(code2){return asciiAlphanumeric(code2)?emailLabel(code2):nok(code2)}function emailLabel(code2){return code2===46?(effects.consume(code2),size2=0,emailAtSignOrDot):code2===62?(effects.exit("autolinkProtocol").type="autolinkEmail",effects.enter("autolinkMarker"),effects.consume(code2),effects.exit("autolinkMarker"),effects.exit("autolink"),ok):emailValue(code2)}function emailValue(code2){if((code2===45||asciiAlphanumeric(code2))&&
+size2++<63){const next2=code2===45?emailValue:emailLabel;return effects.consume(code2),next2}return nok(code2)}}const blankLine={partial:!0,tokenize:tokenizeBlankLine};function tokenizeBlankLine(effects,ok,nok){return start2;function start2(code2){return markdownSpace(code2)?factorySpace(effects,after,"linePrefix")(code2):after(code2)}function after(code2){return code2===null||markdownLineEnding(code2)?ok(code2):nok(code2)}}const blockQuote={continuation:{tokenize:tokenizeBlockQuoteContinuation},
+exit:exit$1,name:"blockQuote",tokenize:tokenizeBlockQuoteStart};function tokenizeBlockQuoteStart(effects,ok,nok){const self2=this;return start2;function start2(code2){if(code2===62){const state2=self2.containerState;return state2.open||(effects.enter("blockQuote",{_container:!0}),state2.open=!0),effects.enter("blockQuotePrefix"),effects.enter("blockQuoteMarker"),effects.consume(code2),effects.exit("blockQuoteMarker"),after}return nok(code2)}function after(code2){return markdownSpace(code2)?(effects.
+enter("blockQuotePrefixWhitespace"),effects.consume(code2),effects.exit("blockQuotePrefixWhitespace"),effects.exit("blockQuotePrefix"),ok):(effects.exit("blockQuotePrefix"),ok(code2))}}function tokenizeBlockQuoteContinuation(effects,ok,nok){const self2=this;return contStart;function contStart(code2){return markdownSpace(code2)?factorySpace(effects,contBefore,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):contBefore(code2)}function contBefore(code2){return effects.
+attempt(blockQuote,ok,nok)(code2)}}function exit$1(effects){effects.exit("blockQuote")}const characterEscape={name:"characterEscape",tokenize:tokenizeCharacterEscape};function tokenizeCharacterEscape(effects,ok,nok){return start2;function start2(code2){return effects.enter("characterEscape"),effects.enter("escapeMarker"),effects.consume(code2),effects.exit("escapeMarker"),inside}function inside(code2){return asciiPunctuation(code2)?(effects.enter("characterEscapeValue"),effects.consume(code2),effects.
+exit("characterEscapeValue"),effects.exit("characterEscape"),ok):nok(code2)}}const characterReference={name:"characterReference",tokenize:tokenizeCharacterReference};function tokenizeCharacterReference(effects,ok,nok){const self2=this;let size2=0,max2,test;return start2;function start2(code2){return effects.enter("characterReference"),effects.enter("characterReferenceMarker"),effects.consume(code2),effects.exit("characterReferenceMarker"),open2}function open2(code2){return code2===35?(effects.enter(
+"characterReferenceMarkerNumeric"),effects.consume(code2),effects.exit("characterReferenceMarkerNumeric"),numeric):(effects.enter("characterReferenceValue"),max2=31,test=asciiAlphanumeric,value(code2))}function numeric(code2){return code2===88||code2===120?(effects.enter("characterReferenceMarkerHexadecimal"),effects.consume(code2),effects.exit("characterReferenceMarkerHexadecimal"),effects.enter("characterReferenceValue"),max2=6,test=asciiHexDigit,value):(effects.enter("characterReferenceValue"),
+max2=7,test=asciiDigit,value(code2))}function value(code2){if(code2===59&&size2){const token2=effects.exit("characterReferenceValue");return test===asciiAlphanumeric&&!decodeNamedCharacterReference(self2.sliceSerialize(token2))?nok(code2):(effects.enter("characterReferenceMarker"),effects.consume(code2),effects.exit("characterReferenceMarker"),effects.exit("characterReference"),ok)}return test(code2)&&size2++<max2?(effects.consume(code2),value):nok(code2)}}const nonLazyContinuation$1={partial:!0,
+tokenize:tokenizeNonLazyContinuation$1},codeFenced={concrete:!0,name:"codeFenced",tokenize:tokenizeCodeFenced};function tokenizeCodeFenced(effects,ok,nok){const self2=this,closeStart={partial:!0,tokenize:tokenizeCloseStart};let initialPrefix=0,sizeOpen=0,marker;return start2;function start2(code2){return beforeSequenceOpen(code2)}function beforeSequenceOpen(code2){const tail=self2.events[self2.events.length-1];return initialPrefix=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],
+!0).length:0,marker=code2,effects.enter("codeFenced"),effects.enter("codeFencedFence"),effects.enter("codeFencedFenceSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===marker?(sizeOpen++,effects.consume(code2),sequenceOpen):sizeOpen<3?nok(code2):(effects.exit("codeFencedFenceSequence"),markdownSpace(code2)?factorySpace(effects,infoBefore,"whitespace")(code2):infoBefore(code2))}function infoBefore(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFen\
+cedFence"),self2.interrupt?ok(code2):effects.check(nonLazyContinuation$1,atNonLazyBreak,after)(code2)):(effects.enter("codeFencedFenceInfo"),effects.enter("chunkString",{contentType:"string"}),info2(code2))}function info2(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),effects.exit("codeFencedFenceInfo"),infoBefore(code2)):markdownSpace(code2)?(effects.exit("chunkString"),effects.exit("codeFencedFenceInfo"),factorySpace(effects,metaBefore,"whitespace")(code2)):
+code2===96&&code2===marker?nok(code2):(effects.consume(code2),info2)}function metaBefore(code2){return code2===null||markdownLineEnding(code2)?infoBefore(code2):(effects.enter("codeFencedFenceMeta"),effects.enter("chunkString",{contentType:"string"}),meta(code2))}function meta(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),effects.exit("codeFencedFenceMeta"),infoBefore(code2)):code2===96&&code2===marker?nok(code2):(effects.consume(code2),meta)}function atNonLazyBreak(code2){
+return effects.attempt(closeStart,after,contentBefore)(code2)}function contentBefore(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),contentStart}function contentStart(code2){return initialPrefix>0&&markdownSpace(code2)?factorySpace(effects,beforeContentChunk,"linePrefix",initialPrefix+1)(code2):beforeContentChunk(code2)}function beforeContentChunk(code2){return code2===null||markdownLineEnding(code2)?effects.check(nonLazyContinuation$1,atNonLazyBreak,
+after)(code2):(effects.enter("codeFlowValue"),contentChunk(code2))}function contentChunk(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowValue"),beforeContentChunk(code2)):(effects.consume(code2),contentChunk)}function after(code2){return effects.exit("codeFenced"),ok(code2)}function tokenizeCloseStart(effects2,ok2,nok2){let size2=0;return startBefore;function startBefore(code2){return effects2.enter("lineEnding"),effects2.consume(code2),effects2.exit("lineEnding"),start3}
+function start3(code2){return effects2.enter("codeFencedFence"),markdownSpace(code2)?factorySpace(effects2,beforeSequenceClose,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):beforeSequenceClose(code2)}function beforeSequenceClose(code2){return code2===marker?(effects2.enter("codeFencedFenceSequence"),sequenceClose(code2)):nok2(code2)}function sequenceClose(code2){return code2===marker?(size2++,effects2.consume(code2),sequenceClose):size2>=sizeOpen?(effects2.
+exit("codeFencedFenceSequence"),markdownSpace(code2)?factorySpace(effects2,sequenceCloseAfter,"whitespace")(code2):sequenceCloseAfter(code2)):nok2(code2)}function sequenceCloseAfter(code2){return code2===null||markdownLineEnding(code2)?(effects2.exit("codeFencedFence"),ok2(code2)):nok2(code2)}}}function tokenizeNonLazyContinuation$1(effects,ok,nok){const self2=this;return start2;function start2(code2){return code2===null?nok(code2):(effects.enter("lineEnding"),effects.consume(code2),effects.exit(
+"lineEnding"),lineStart)}function lineStart(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}const codeIndented={name:"codeIndented",tokenize:tokenizeCodeIndented},furtherStart={partial:!0,tokenize:tokenizeFurtherStart};function tokenizeCodeIndented(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("codeIndented"),factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events.
+length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?atBreak(code2):nok(code2)}function atBreak(code2){return code2===null?after(code2):markdownLineEnding(code2)?effects.attempt(furtherStart,atBreak,after)(code2):(effects.enter("codeFlowValue"),inside(code2))}function inside(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowValue"),atBreak(code2)):(effects.consume(code2),inside)}function after(code2){return effects.exit("code\
+Indented"),ok(code2)}}function tokenizeFurtherStart(effects,ok,nok){const self2=this;return furtherStart2;function furtherStart2(code2){return self2.parser.lazy[self2.now().line]?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),furtherStart2):factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(
+tail[1],!0).length>=4?ok(code2):markdownLineEnding(code2)?furtherStart2(code2):nok(code2)}}const codeText={name:"codeText",previous:previous$2,resolve:resolveCodeText,tokenize:tokenizeCodeText};function resolveCodeText(events){let tailExitIndex=events.length-4,headEnterIndex=3,index2,enter;if((events[headEnterIndex][1].type==="lineEnding"||events[headEnterIndex][1].type==="space")&&(events[tailExitIndex][1].type==="lineEnding"||events[tailExitIndex][1].type==="space")){for(index2=headEnterIndex;++index2<
+tailExitIndex;)if(events[index2][1].type==="codeTextData"){events[headEnterIndex][1].type="codeTextPadding",events[tailExitIndex][1].type="codeTextPadding",headEnterIndex+=2,tailExitIndex-=2;break}}for(index2=headEnterIndex-1,tailExitIndex++;++index2<=tailExitIndex;)enter===void 0?index2!==tailExitIndex&&events[index2][1].type!=="lineEnding"&&(enter=index2):(index2===tailExitIndex||events[index2][1].type==="lineEnding")&&(events[enter][1].type="codeTextData",index2!==enter+2&&(events[enter][1].end=
+events[index2-1][1].end,events.splice(enter+2,index2-enter-2),tailExitIndex-=index2-enter-2,index2=enter+2),enter=void 0);return events}function previous$2(code2){return code2!==96||this.events[this.events.length-1][1].type==="characterEscape"}function tokenizeCodeText(effects,ok,nok){let sizeOpen=0,size2,token2;return start2;function start2(code2){return effects.enter("codeText"),effects.enter("codeTextSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===96?(effects.consume(
+code2),sizeOpen++,sequenceOpen):(effects.exit("codeTextSequence"),between2(code2))}function between2(code2){return code2===null?nok(code2):code2===32?(effects.enter("space"),effects.consume(code2),effects.exit("space"),between2):code2===96?(token2=effects.enter("codeTextSequence"),size2=0,sequenceClose(code2)):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),between2):(effects.enter("codeTextData"),data(code2))}function data(code2){return code2===
+null||code2===32||code2===96||markdownLineEnding(code2)?(effects.exit("codeTextData"),between2(code2)):(effects.consume(code2),data)}function sequenceClose(code2){return code2===96?(effects.consume(code2),size2++,sequenceClose):size2===sizeOpen?(effects.exit("codeTextSequence"),effects.exit("codeText"),ok(code2)):(token2.type="codeTextData",data(code2))}}class SpliceBuffer{constructor(initial){this.left=initial?[...initial]:[],this.right=[]}get(index2){if(index2<0||index2>=this.left.length+this.
+right.length)throw new RangeError("Cannot access index `"+index2+"` in a splice buffer of size `"+(this.left.length+this.right.length)+"`");return index2<this.left.length?this.left[index2]:this.right[this.right.length-index2+this.left.length-1]}get length(){return this.left.length+this.right.length}shift(){return this.setCursor(0),this.right.pop()}slice(start2,end){const stop=end??Number.POSITIVE_INFINITY;return stop<this.left.length?this.left.slice(start2,stop):start2>this.left.length?this.right.
+slice(this.right.length-stop+this.left.length,this.right.length-start2+this.left.length).reverse():this.left.slice(start2).concat(this.right.slice(this.right.length-stop+this.left.length).reverse())}splice(start2,deleteCount,items2){const count=deleteCount||0;this.setCursor(Math.trunc(start2));const removed=this.right.splice(this.right.length-count,Number.POSITIVE_INFINITY);return items2&&chunkedPush(this.left,items2),removed.reverse()}pop(){return this.setCursor(Number.POSITIVE_INFINITY),this.left.
+pop()}push(item){this.setCursor(Number.POSITIVE_INFINITY),this.left.push(item)}pushMany(items2){this.setCursor(Number.POSITIVE_INFINITY),chunkedPush(this.left,items2)}unshift(item){this.setCursor(0),this.right.push(item)}unshiftMany(items2){this.setCursor(0),chunkedPush(this.right,items2.reverse())}setCursor(n){if(!(n===this.left.length||n>this.left.length&&this.right.length===0||n<0&&this.left.length===0))if(n<this.left.length){const removed=this.left.splice(n,Number.POSITIVE_INFINITY);chunkedPush(
+this.right,removed.reverse())}else{const removed=this.right.splice(this.left.length+this.right.length-n,Number.POSITIVE_INFINITY);chunkedPush(this.left,removed.reverse())}}}function chunkedPush(list2,right){let chunkStart=0;if(right.length<1e4)list2.push(...right);else for(;chunkStart<right.length;)list2.push(...right.slice(chunkStart,chunkStart+1e4)),chunkStart+=1e4}function subtokenize(eventsArray){const jumps={};let index2=-1,event2,lineIndex,otherIndex,otherEvent,parameters,subevents,more;const events=new SpliceBuffer(
+eventsArray);for(;++index2<events.length;){for(;index2 in jumps;)index2=jumps[index2];if(event2=events.get(index2),index2&&event2[1].type==="chunkFlow"&&events.get(index2-1)[1].type==="listItemPrefix"&&(subevents=event2[1]._tokenizer.events,otherIndex=0,otherIndex<subevents.length&&subevents[otherIndex][1].type==="lineEndingBlank"&&(otherIndex+=2),otherIndex<subevents.length&&subevents[otherIndex][1].type==="content"))for(;++otherIndex<subevents.length&&subevents[otherIndex][1].type!=="content";)
+subevents[otherIndex][1].type==="chunkText"&&(subevents[otherIndex][1]._isInFirstContentOfListItem=!0,otherIndex++);if(event2[0]==="enter")event2[1].contentType&&(Object.assign(jumps,subcontent(events,index2)),index2=jumps[index2],more=!0);else if(event2[1]._container){for(otherIndex=index2,lineIndex=void 0;otherIndex--;)if(otherEvent=events.get(otherIndex),otherEvent[1].type==="lineEnding"||otherEvent[1].type==="lineEndingBlank")otherEvent[0]==="enter"&&(lineIndex&&(events.get(lineIndex)[1].type=
+"lineEndingBlank"),otherEvent[1].type="lineEnding",lineIndex=otherIndex);else if(!(otherEvent[1].type==="linePrefix"||otherEvent[1].type==="listItemIndent"))break;lineIndex&&(event2[1].end={...events.get(lineIndex)[1].start},parameters=events.slice(lineIndex,index2),parameters.unshift(event2),events.splice(lineIndex,index2-lineIndex+1,parameters))}}return splice(eventsArray,0,Number.POSITIVE_INFINITY,events.slice(0)),!more}function subcontent(events,eventIndex){const token2=events.get(eventIndex)[1],
+context=events.get(eventIndex)[2];let startPosition=eventIndex-1;const startPositions=[];let tokenizer=token2._tokenizer;tokenizer||(tokenizer=context.parser[token2.contentType](token2.start),token2._contentTypeTextTrailing&&(tokenizer._contentTypeTextTrailing=!0));const childEvents=tokenizer.events,jumps=[],gaps={};let stream,previous2,index2=-1,current2=token2,adjust=0,start2=0;const breaks=[start2];for(;current2;){for(;events.get(++startPosition)[1]!==current2;);startPositions.push(startPosition),
+current2._tokenizer||(stream=context.sliceStream(current2),current2.next||stream.push(null),previous2&&tokenizer.defineSkip(current2.start),current2._isInFirstContentOfListItem&&(tokenizer._gfmTasklistFirstContentOfListItem=!0),tokenizer.write(stream),current2._isInFirstContentOfListItem&&(tokenizer._gfmTasklistFirstContentOfListItem=void 0)),previous2=current2,current2=current2.next}for(current2=token2;++index2<childEvents.length;)childEvents[index2][0]==="exit"&&childEvents[index2-1][0]==="ent\
+er"&&childEvents[index2][1].type===childEvents[index2-1][1].type&&childEvents[index2][1].start.line!==childEvents[index2][1].end.line&&(start2=index2+1,breaks.push(start2),current2._tokenizer=void 0,current2.previous=void 0,current2=current2.next);for(tokenizer.events=[],current2?(current2._tokenizer=void 0,current2.previous=void 0):breaks.pop(),index2=breaks.length;index2--;){const slice=childEvents.slice(breaks[index2],breaks[index2+1]),start3=startPositions.pop();jumps.push([start3,start3+slice.
+length-1]),events.splice(start3,2,slice)}for(jumps.reverse(),index2=-1;++index2<jumps.length;)gaps[adjust+jumps[index2][0]]=adjust+jumps[index2][1],adjust+=jumps[index2][1]-jumps[index2][0]-1;return gaps}const content={resolve:resolveContent,tokenize:tokenizeContent},continuationConstruct={partial:!0,tokenize:tokenizeContinuation};function resolveContent(events){return subtokenize(events),events}function tokenizeContent(effects,ok){let previous2;return chunkStart;function chunkStart(code2){return effects.
+enter("content"),previous2=effects.enter("chunkContent",{contentType:"content"}),chunkInside(code2)}function chunkInside(code2){return code2===null?contentEnd(code2):markdownLineEnding(code2)?effects.check(continuationConstruct,contentContinue,contentEnd)(code2):(effects.consume(code2),chunkInside)}function contentEnd(code2){return effects.exit("chunkContent"),effects.exit("content"),ok(code2)}function contentContinue(code2){return effects.consume(code2),effects.exit("chunkContent"),previous2.next=
+effects.enter("chunkContent",{contentType:"content",previous:previous2}),previous2=previous2.next,chunkInside}}function tokenizeContinuation(effects,ok,nok){const self2=this;return startLookahead;function startLookahead(code2){return effects.exit("chunkContent"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,prefixed,"linePrefix")}function prefixed(code2){if(code2===null||markdownLineEnding(code2))return nok(code2);const tail=self2.events[self2.
+events.length-1];return!self2.parser.constructs.disable.null.includes("codeIndented")&&tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?ok(code2):effects.interrupt(self2.parser.constructs.flow,nok,ok)(code2)}}function factoryDestination(effects,ok,nok,type2,literalType,literalMarkerType,rawType,stringType,max2){const limit2=max2||Number.POSITIVE_INFINITY;let balance=0;return start2;function start2(code2){return code2===60?(effects.enter(type2),effects.enter(literalType),
+effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),enclosedBefore):code2===null||code2===32||code2===41||asciiControl(code2)?nok(code2):(effects.enter(type2),effects.enter(rawType),effects.enter(stringType),effects.enter("chunkString",{contentType:"string"}),raw2(code2))}function enclosedBefore(code2){return code2===62?(effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),effects.exit(literalType),effects.exit(type2),ok):(effects.
+enter(stringType),effects.enter("chunkString",{contentType:"string"}),enclosed(code2))}function enclosed(code2){return code2===62?(effects.exit("chunkString"),effects.exit(stringType),enclosedBefore(code2)):code2===null||code2===60||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),code2===92?enclosedEscape:enclosed)}function enclosedEscape(code2){return code2===60||code2===62||code2===92?(effects.consume(code2),enclosed):enclosed(code2)}function raw2(code2){return!balance&&(code2===null||
+code2===41||markdownLineEndingOrSpace(code2))?(effects.exit("chunkString"),effects.exit(stringType),effects.exit(rawType),effects.exit(type2),ok(code2)):balance<limit2&&code2===40?(effects.consume(code2),balance++,raw2):code2===41?(effects.consume(code2),balance--,raw2):code2===null||code2===32||code2===40||asciiControl(code2)?nok(code2):(effects.consume(code2),code2===92?rawEscape:raw2)}function rawEscape(code2){return code2===40||code2===41||code2===92?(effects.consume(code2),raw2):raw2(code2)}}
+function factoryLabel(effects,ok,nok,type2,markerType,stringType){const self2=this;let size2=0,seen2;return start2;function start2(code2){return effects.enter(type2),effects.enter(markerType),effects.consume(code2),effects.exit(markerType),effects.enter(stringType),atBreak}function atBreak(code2){return size2>999||code2===null||code2===91||code2===93&&!seen2||code2===94&&!size2&&"_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):code2===93?(effects.exit(stringType),effects.enter(markerType),
+effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),atBreak):(effects.enter("chunkString",{contentType:"string"}),labelInside(code2))}function labelInside(code2){return code2===null||code2===91||code2===93||markdownLineEnding(code2)||size2++>999?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),seen2||(seen2=!markdownSpace(code2)),code2===92?labelEscape:
+labelInside)}function labelEscape(code2){return code2===91||code2===92||code2===93?(effects.consume(code2),size2++,labelInside):labelInside(code2)}}function factoryTitle(effects,ok,nok,type2,markerType,stringType){let marker;return start2;function start2(code2){return code2===34||code2===39||code2===40?(effects.enter(type2),effects.enter(markerType),effects.consume(code2),effects.exit(markerType),marker=code2===40?41:code2,begin):nok(code2)}function begin(code2){return code2===marker?(effects.enter(
+markerType),effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):(effects.enter(stringType),atBreak(code2))}function atBreak(code2){return code2===marker?(effects.exit(stringType),begin(marker)):code2===null?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,atBreak,"linePrefix")):(effects.enter("chunkString",{contentType:"string"}),inside(code2))}function inside(code2){return code2===marker||
+code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),code2===92?escape2:inside)}function escape2(code2){return code2===marker||code2===92?(effects.consume(code2),inside):inside(code2)}}function factoryWhitespace(effects,ok){let seen2;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),seen2=!0,start2):markdownSpace(code2)?factorySpace(effects,start2,
+seen2?"linePrefix":"lineSuffix")(code2):ok(code2)}}const definition$1={name:"definition",tokenize:tokenizeDefinition},titleBefore={partial:!0,tokenize:tokenizeTitleBefore};function tokenizeDefinition(effects,ok,nok){const self2=this;let identifier2;return start2;function start2(code2){return effects.enter("definition"),before(code2)}function before(code2){return factoryLabel.call(self2,effects,labelAfter,nok,"definitionLabel","definitionLabelMarker","definitionLabelString")(code2)}function labelAfter(code2){
+return identifier2=normalizeIdentifier(self2.sliceSerialize(self2.events[self2.events.length-1][1]).slice(1,-1)),code2===58?(effects.enter("definitionMarker"),effects.consume(code2),effects.exit("definitionMarker"),markerAfter):nok(code2)}function markerAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,destinationBefore)(code2):destinationBefore(code2)}function destinationBefore(code2){return factoryDestination(effects,destinationAfter,nok,"definitionDestination","de\
+finitionDestinationLiteral","definitionDestinationLiteralMarker","definitionDestinationRaw","definitionDestinationString")(code2)}function destinationAfter(code2){return effects.attempt(titleBefore,after,after)(code2)}function after(code2){return markdownSpace(code2)?factorySpace(effects,afterWhitespace,"whitespace")(code2):afterWhitespace(code2)}function afterWhitespace(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("definition"),self2.parser.defined.push(identifier2),ok(code2)):
+nok(code2)}}function tokenizeTitleBefore(effects,ok,nok){return titleBefore2;function titleBefore2(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,beforeMarker)(code2):nok(code2)}function beforeMarker(code2){return factoryTitle(effects,titleAfter,nok,"definitionTitle","definitionTitleMarker","definitionTitleString")(code2)}function titleAfter(code2){return markdownSpace(code2)?factorySpace(effects,titleAfterOptionalWhitespace,"whitespace")(code2):titleAfterOptionalWhitespace(
+code2)}function titleAfterOptionalWhitespace(code2){return code2===null||markdownLineEnding(code2)?ok(code2):nok(code2)}}const hardBreakEscape={name:"hardBreakEscape",tokenize:tokenizeHardBreakEscape};function tokenizeHardBreakEscape(effects,ok,nok){return start2;function start2(code2){return effects.enter("hardBreakEscape"),effects.consume(code2),after}function after(code2){return markdownLineEnding(code2)?(effects.exit("hardBreakEscape"),ok(code2)):nok(code2)}}const headingAtx={name:"headingAt\
+x",resolve:resolveHeadingAtx,tokenize:tokenizeHeadingAtx};function resolveHeadingAtx(events,context){let contentEnd=events.length-2,contentStart=3,content2,text2;return events[contentStart][1].type==="whitespace"&&(contentStart+=2),contentEnd-2>contentStart&&events[contentEnd][1].type==="whitespace"&&(contentEnd-=2),events[contentEnd][1].type==="atxHeadingSequence"&&(contentStart===contentEnd-1||contentEnd-4>contentStart&&events[contentEnd-2][1].type==="whitespace")&&(contentEnd-=contentStart+1===
+contentEnd?2:4),contentEnd>contentStart&&(content2={type:"atxHeadingText",start:events[contentStart][1].start,end:events[contentEnd][1].end},text2={type:"chunkText",start:events[contentStart][1].start,end:events[contentEnd][1].end,contentType:"text"},splice(events,contentStart,contentEnd-contentStart+1,[["enter",content2,context],["enter",text2,context],["exit",text2,context],["exit",content2,context]])),events}function tokenizeHeadingAtx(effects,ok,nok){let size2=0;return start2;function start2(code2){
+return effects.enter("atxHeading"),before(code2)}function before(code2){return effects.enter("atxHeadingSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===35&&size2++<6?(effects.consume(code2),sequenceOpen):code2===null||markdownLineEndingOrSpace(code2)?(effects.exit("atxHeadingSequence"),atBreak(code2)):nok(code2)}function atBreak(code2){return code2===35?(effects.enter("atxHeadingSequence"),sequenceFurther(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("a\
+txHeading"),ok(code2)):markdownSpace(code2)?factorySpace(effects,atBreak,"whitespace")(code2):(effects.enter("atxHeadingText"),data(code2))}function sequenceFurther(code2){return code2===35?(effects.consume(code2),sequenceFurther):(effects.exit("atxHeadingSequence"),atBreak(code2))}function data(code2){return code2===null||code2===35||markdownLineEndingOrSpace(code2)?(effects.exit("atxHeadingText"),atBreak(code2)):(effects.consume(code2),data)}}const htmlBlockNames=["address","article","aside","\
+base","basefont","blockquote","body","caption","center","col","colgroup","dd","details","dialog","dir","div","dl","dt","fieldset","figcaption","figure","footer","form","frame","frameset","h1","h2","h3","h4","h5","h6","head","header","hr","html","iframe","legend","li","link","main","menu","menuitem","nav","noframes","ol","optgroup","option","p","param","search","section","summary","table","tbody","td","tfoot","th","thead","title","tr","track","ul"],htmlRawNames=["pre","script","style","textarea"],
+htmlFlow={concrete:!0,name:"htmlFlow",resolveTo:resolveToHtmlFlow,tokenize:tokenizeHtmlFlow},blankLineBefore={partial:!0,tokenize:tokenizeBlankLineBefore},nonLazyContinuationStart={partial:!0,tokenize:tokenizeNonLazyContinuationStart};function resolveToHtmlFlow(events){let index2=events.length;for(;index2--&&!(events[index2][0]==="enter"&&events[index2][1].type==="htmlFlow"););return index2>1&&events[index2-2][1].type==="linePrefix"&&(events[index2][1].start=events[index2-2][1].start,events[index2+
+1][1].start=events[index2-2][1].start,events.splice(index2-2,2)),events}function tokenizeHtmlFlow(effects,ok,nok){const self2=this;let marker,closingTag,buffer,index2,markerB;return start2;function start2(code2){return before(code2)}function before(code2){return effects.enter("htmlFlow"),effects.enter("htmlFlowData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.consume(code2),declarationOpen):code2===47?(effects.consume(code2),closingTag=!0,tagCloseStart):code2===
+63?(effects.consume(code2),marker=3,self2.interrupt?ok:continuationDeclarationInside):asciiAlpha(code2)?(effects.consume(code2),buffer=String.fromCharCode(code2),tagName):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),marker=2,commentOpenInside):code2===91?(effects.consume(code2),marker=5,index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),marker=4,self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function commentOpenInside(code2){
+return code2===45?(effects.consume(code2),self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(code2),index2===value.length?self2.interrupt?ok:continuation:cdataOpenInside):nok(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?(effects.consume(code2),buffer=String.fromCharCode(code2),tagName):nok(code2)}function tagName(code2){if(code2===null||code2===47||code2===62||
+markdownLineEndingOrSpace(code2)){const slash=code2===47,name=buffer.toLowerCase();return!slash&&!closingTag&&htmlRawNames.includes(name)?(marker=1,self2.interrupt?ok(code2):continuation(code2)):htmlBlockNames.includes(buffer.toLowerCase())?(marker=6,slash?(effects.consume(code2),basicSelfClosing):self2.interrupt?ok(code2):continuation(code2)):(marker=7,self2.interrupt&&!self2.parser.lazy[self2.now().line]?nok(code2):closingTag?completeClosingTagAfter(code2):completeAttributeNameBefore(code2))}return code2===
+45||asciiAlphanumeric(code2)?(effects.consume(code2),buffer+=String.fromCharCode(code2),tagName):nok(code2)}function basicSelfClosing(code2){return code2===62?(effects.consume(code2),self2.interrupt?ok:continuation):nok(code2)}function completeClosingTagAfter(code2){return markdownSpace(code2)?(effects.consume(code2),completeClosingTagAfter):completeEnd(code2)}function completeAttributeNameBefore(code2){return code2===47?(effects.consume(code2),completeEnd):code2===58||code2===95||asciiAlpha(code2)?
+(effects.consume(code2),completeAttributeName):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameBefore):completeEnd(code2)}function completeAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),completeAttributeName):completeAttributeNameAfter(code2)}function completeAttributeNameAfter(code2){return code2===61?(effects.consume(code2),completeAttributeValueBefore):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameAfter):
+completeAttributeNameBefore(code2)}function completeAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),markerB=code2,completeAttributeValueQuoted):markdownSpace(code2)?(effects.consume(code2),completeAttributeValueBefore):completeAttributeValueUnquoted(code2)}function completeAttributeValueQuoted(code2){return code2===markerB?(effects.consume(code2),markerB=null,completeAttributeValueQuotedAfter):
+code2===null||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),completeAttributeValueQuoted)}function completeAttributeValueUnquoted(code2){return code2===null||code2===34||code2===39||code2===47||code2===60||code2===61||code2===62||code2===96||markdownLineEndingOrSpace(code2)?completeAttributeNameAfter(code2):(effects.consume(code2),completeAttributeValueUnquoted)}function completeAttributeValueQuotedAfter(code2){return code2===47||code2===62||markdownSpace(code2)?completeAttributeNameBefore(
+code2):nok(code2)}function completeEnd(code2){return code2===62?(effects.consume(code2),completeAfter):nok(code2)}function completeAfter(code2){return code2===null||markdownLineEnding(code2)?continuation(code2):markdownSpace(code2)?(effects.consume(code2),completeAfter):nok(code2)}function continuation(code2){return code2===45&&marker===2?(effects.consume(code2),continuationCommentInside):code2===60&&marker===1?(effects.consume(code2),continuationRawTagOpen):code2===62&&marker===4?(effects.consume(
+code2),continuationClose):code2===63&&marker===3?(effects.consume(code2),continuationDeclarationInside):code2===93&&marker===5?(effects.consume(code2),continuationCdataInside):markdownLineEnding(code2)&&(marker===6||marker===7)?(effects.exit("htmlFlowData"),effects.check(blankLineBefore,continuationAfter,continuationStart)(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationStart(code2)):(effects.consume(code2),continuation)}function continuationStart(code2){
+return effects.check(nonLazyContinuationStart,continuationStartNonLazy,continuationAfter)(code2)}function continuationStartNonLazy(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),continuationBefore}function continuationBefore(code2){return code2===null||markdownLineEnding(code2)?continuationStart(code2):(effects.enter("htmlFlowData"),continuation(code2))}function continuationCommentInside(code2){return code2===45?(effects.consume(code2),continuationDeclarationInside):
+continuation(code2)}function continuationRawTagOpen(code2){return code2===47?(effects.consume(code2),buffer="",continuationRawEndTag):continuation(code2)}function continuationRawEndTag(code2){if(code2===62){const name=buffer.toLowerCase();return htmlRawNames.includes(name)?(effects.consume(code2),continuationClose):continuation(code2)}return asciiAlpha(code2)&&buffer.length<8?(effects.consume(code2),buffer+=String.fromCharCode(code2),continuationRawEndTag):continuation(code2)}function continuationCdataInside(code2){
+return code2===93?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationDeclarationInside(code2){return code2===62?(effects.consume(code2),continuationClose):code2===45&&marker===2?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationClose(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationAfter(code2)):(effects.consume(code2),continuationClose)}function continuationAfter(code2){
+return effects.exit("htmlFlow"),ok(code2)}}function tokenizeNonLazyContinuationStart(effects,ok,nok){const self2=this;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),after):nok(code2)}function after(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}function tokenizeBlankLineBefore(effects,ok,nok){return start2;function start2(code2){return effects.enter("lineEnding"),effects.
+consume(code2),effects.exit("lineEnding"),effects.attempt(blankLine,ok,nok)}}const htmlText={name:"htmlText",tokenize:tokenizeHtmlText};function tokenizeHtmlText(effects,ok,nok){const self2=this;let marker,index2,returnState;return start2;function start2(code2){return effects.enter("htmlText"),effects.enter("htmlTextData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.consume(code2),declarationOpen):code2===47?(effects.consume(code2),tagCloseStart):code2===63?(effects.
+consume(code2),instruction):asciiAlpha(code2)?(effects.consume(code2),tagOpen):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),commentOpenInside):code2===91?(effects.consume(code2),index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),declaration):nok(code2)}function commentOpenInside(code2){return code2===45?(effects.consume(code2),commentEnd):nok(code2)}function comment2(code2){return code2===null?nok(code2):code2===45?(effects.consume(code2),
+commentClose):markdownLineEnding(code2)?(returnState=comment2,lineEndingBefore(code2)):(effects.consume(code2),comment2)}function commentClose(code2){return code2===45?(effects.consume(code2),commentEnd):comment2(code2)}function commentEnd(code2){return code2===62?end(code2):code2===45?commentClose(code2):comment2(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(code2),index2===value.length?cdata:cdataOpenInside):nok(code2)}function cdata(code2){
+return code2===null?nok(code2):code2===93?(effects.consume(code2),cdataClose):markdownLineEnding(code2)?(returnState=cdata,lineEndingBefore(code2)):(effects.consume(code2),cdata)}function cdataClose(code2){return code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function cdataEnd(code2){return code2===62?end(code2):code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function declaration(code2){return code2===null||code2===62?end(code2):markdownLineEnding(code2)?(returnState=declaration,
+lineEndingBefore(code2)):(effects.consume(code2),declaration)}function instruction(code2){return code2===null?nok(code2):code2===63?(effects.consume(code2),instructionClose):markdownLineEnding(code2)?(returnState=instruction,lineEndingBefore(code2)):(effects.consume(code2),instruction)}function instructionClose(code2){return code2===62?end(code2):instruction(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?(effects.consume(code2),tagClose):nok(code2)}function tagClose(code2){return code2===
+45||asciiAlphanumeric(code2)?(effects.consume(code2),tagClose):tagCloseBetween(code2)}function tagCloseBetween(code2){return markdownLineEnding(code2)?(returnState=tagCloseBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagCloseBetween):end(code2)}function tagOpen(code2){return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpen):code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):nok(code2)}function tagOpenBetween(code2){
+return code2===47?(effects.consume(code2),end):code2===58||code2===95||asciiAlpha(code2)?(effects.consume(code2),tagOpenAttributeName):markdownLineEnding(code2)?(returnState=tagOpenBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenBetween):end(code2)}function tagOpenAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpenAttributeName):tagOpenAttributeNameAfter(code2)}function tagOpenAttributeNameAfter(code2){
+return code2===61?(effects.consume(code2),tagOpenAttributeValueBefore):markdownLineEnding(code2)?(returnState=tagOpenAttributeNameAfter,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeNameAfter):tagOpenBetween(code2)}function tagOpenAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),marker=code2,tagOpenAttributeValueQuoted):markdownLineEnding(code2)?(returnState=
+tagOpenAttributeValueBefore,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeValueBefore):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuoted(code2){return code2===marker?(effects.consume(code2),marker=void 0,tagOpenAttributeValueQuotedAfter):code2===null?nok(code2):markdownLineEnding(code2)?(returnState=tagOpenAttributeValueQuoted,lineEndingBefore(code2)):(effects.consume(code2),tagOpenAttributeValueQuoted)}function tagOpenAttributeValueUnquoted(code2){
+return code2===null||code2===34||code2===39||code2===60||code2===61||code2===96?nok(code2):code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuotedAfter(code2){return code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):nok(code2)}function end(code2){return code2===62?(effects.consume(code2),effects.exit("htmlTextData"),effects.exit("htmlText"),ok):nok(code2)}
+function lineEndingBefore(code2){return effects.exit("htmlTextData"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineEndingAfter}function lineEndingAfter(code2){return markdownSpace(code2)?factorySpace(effects,lineEndingAfterPrefix,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):lineEndingAfterPrefix(code2)}function lineEndingAfterPrefix(code2){return effects.enter("htmlTextData"),returnState(code2)}}const labelEnd={name:"\
+labelEnd",resolveAll:resolveAllLabelEnd,resolveTo:resolveToLabelEnd,tokenize:tokenizeLabelEnd},resourceConstruct={tokenize:tokenizeResource},referenceFullConstruct={tokenize:tokenizeReferenceFull},referenceCollapsedConstruct={tokenize:tokenizeReferenceCollapsed};function resolveAllLabelEnd(events){let index2=-1;const newEvents=[];for(;++index2<events.length;){const token2=events[index2][1];if(newEvents.push(events[index2]),token2.type==="labelImage"||token2.type==="labelLink"||token2.type==="lab\
+elEnd"){const offset2=token2.type==="labelImage"?4:2;token2.type="data",index2+=offset2}}return events.length!==newEvents.length&&splice(events,0,events.length,newEvents),events}function resolveToLabelEnd(events,context){let index2=events.length,offset2=0,token2,open2,close2,media;for(;index2--;)if(token2=events[index2][1],open2){if(token2.type==="link"||token2.type==="labelLink"&&token2._inactive)break;events[index2][0]==="enter"&&token2.type==="labelLink"&&(token2._inactive=!0)}else if(close2){
+if(events[index2][0]==="enter"&&(token2.type==="labelImage"||token2.type==="labelLink")&&!token2._balanced&&(open2=index2,token2.type!=="labelLink")){offset2=2;break}}else token2.type==="labelEnd"&&(close2=index2);const group={type:events[open2][1].type==="labelLink"?"link":"image",start:{...events[open2][1].start},end:{...events[events.length-1][1].end}},label={type:"label",start:{...events[open2][1].start},end:{...events[close2][1].end}},text2={type:"labelText",start:{...events[open2+offset2+2][1].
+end},end:{...events[close2-2][1].start}};return media=[["enter",group,context],["enter",label,context]],media=push(media,events.slice(open2+1,open2+offset2+3)),media=push(media,[["enter",text2,context]]),media=push(media,resolveAll(context.parser.constructs.insideSpan.null,events.slice(open2+offset2+4,close2-3),context)),media=push(media,[["exit",text2,context],events[close2-2],events[close2-1],["exit",label,context]]),media=push(media,events.slice(close2+1)),media=push(media,[["exit",group,context]]),
+splice(events,open2,events.length,media),events}function tokenizeLabelEnd(effects,ok,nok){const self2=this;let index2=self2.events.length,labelStart,defined;for(;index2--;)if((self2.events[index2][1].type==="labelImage"||self2.events[index2][1].type==="labelLink")&&!self2.events[index2][1]._balanced){labelStart=self2.events[index2][1];break}return start2;function start2(code2){return labelStart?labelStart._inactive?labelEndNok(code2):(defined=self2.parser.defined.includes(normalizeIdentifier(self2.
+sliceSerialize({start:labelStart.end,end:self2.now()}))),effects.enter("labelEnd"),effects.enter("labelMarker"),effects.consume(code2),effects.exit("labelMarker"),effects.exit("labelEnd"),after):nok(code2)}function after(code2){return code2===40?effects.attempt(resourceConstruct,labelEndOk,defined?labelEndOk:labelEndNok)(code2):code2===91?effects.attempt(referenceFullConstruct,labelEndOk,defined?referenceNotFull:labelEndNok)(code2):defined?labelEndOk(code2):labelEndNok(code2)}function referenceNotFull(code2){
+return effects.attempt(referenceCollapsedConstruct,labelEndOk,labelEndNok)(code2)}function labelEndOk(code2){return ok(code2)}function labelEndNok(code2){return labelStart._balanced=!0,nok(code2)}}function tokenizeResource(effects,ok,nok){return resourceStart;function resourceStart(code2){return effects.enter("resource"),effects.enter("resourceMarker"),effects.consume(code2),effects.exit("resourceMarker"),resourceBefore}function resourceBefore(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(
+effects,resourceOpen)(code2):resourceOpen(code2)}function resourceOpen(code2){return code2===41?resourceEnd(code2):factoryDestination(effects,resourceDestinationAfter,resourceDestinationMissing,"resourceDestination","resourceDestinationLiteral","resourceDestinationLiteralMarker","resourceDestinationRaw","resourceDestinationString",32)(code2)}function resourceDestinationAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,resourceBetween)(code2):resourceEnd(code2)}function resourceDestinationMissing(code2){
+return nok(code2)}function resourceBetween(code2){return code2===34||code2===39||code2===40?factoryTitle(effects,resourceTitleAfter,nok,"resourceTitle","resourceTitleMarker","resourceTitleString")(code2):resourceEnd(code2)}function resourceTitleAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,resourceEnd)(code2):resourceEnd(code2)}function resourceEnd(code2){return code2===41?(effects.enter("resourceMarker"),effects.consume(code2),effects.exit("resourceMarker"),effects.
+exit("resource"),ok):nok(code2)}}function tokenizeReferenceFull(effects,ok,nok){const self2=this;return referenceFull;function referenceFull(code2){return factoryLabel.call(self2,effects,referenceFullAfter,referenceFullMissing,"reference","referenceMarker","referenceString")(code2)}function referenceFullAfter(code2){return self2.parser.defined.includes(normalizeIdentifier(self2.sliceSerialize(self2.events[self2.events.length-1][1]).slice(1,-1)))?ok(code2):nok(code2)}function referenceFullMissing(code2){
+return nok(code2)}}function tokenizeReferenceCollapsed(effects,ok,nok){return referenceCollapsedStart;function referenceCollapsedStart(code2){return effects.enter("reference"),effects.enter("referenceMarker"),effects.consume(code2),effects.exit("referenceMarker"),referenceCollapsedOpen}function referenceCollapsedOpen(code2){return code2===93?(effects.enter("referenceMarker"),effects.consume(code2),effects.exit("referenceMarker"),effects.exit("reference"),ok):nok(code2)}}const labelStartImage={name:"\
+labelStartImage",resolveAll:labelEnd.resolveAll,tokenize:tokenizeLabelStartImage};function tokenizeLabelStartImage(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("labelImage"),effects.enter("labelImageMarker"),effects.consume(code2),effects.exit("labelImageMarker"),open2}function open2(code2){return code2===91?(effects.enter("labelMarker"),effects.consume(code2),effects.exit("labelMarker"),effects.exit("labelImage"),after):nok(code2)}function after(code2){
+return code2===94&&"_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):ok(code2)}}const labelStartLink={name:"labelStartLink",resolveAll:labelEnd.resolveAll,tokenize:tokenizeLabelStartLink};function tokenizeLabelStartLink(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("labelLink"),effects.enter("labelMarker"),effects.consume(code2),effects.exit("labelMarker"),effects.exit("labelLink"),after}function after(code2){return code2===94&&"_hiddenFoo\
+tnoteSupport"in self2.parser.constructs?nok(code2):ok(code2)}}const lineEnding={name:"lineEnding",tokenize:tokenizeLineEnding};function tokenizeLineEnding(effects,ok){return start2;function start2(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,ok,"linePrefix")}}const thematicBreak$2={name:"thematicBreak",tokenize:tokenizeThematicBreak};function tokenizeThematicBreak(effects,ok,nok){let size2=0,marker;return start2;function start2(code2){
+return effects.enter("thematicBreak"),before(code2)}function before(code2){return marker=code2,atBreak(code2)}function atBreak(code2){return code2===marker?(effects.enter("thematicBreakSequence"),sequence(code2)):size2>=3&&(code2===null||markdownLineEnding(code2))?(effects.exit("thematicBreak"),ok(code2)):nok(code2)}function sequence(code2){return code2===marker?(effects.consume(code2),size2++,sequence):(effects.exit("thematicBreakSequence"),markdownSpace(code2)?factorySpace(effects,atBreak,"whi\
+tespace")(code2):atBreak(code2))}}const list$3={continuation:{tokenize:tokenizeListContinuation},exit:tokenizeListEnd,name:"list",tokenize:tokenizeListStart},listItemPrefixWhitespaceConstruct={partial:!0,tokenize:tokenizeListItemPrefixWhitespace},indentConstruct={partial:!0,tokenize:tokenizeIndent$1};function tokenizeListStart(effects,ok,nok){const self2=this,tail=self2.events[self2.events.length-1];let initialSize=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0,size2=0;
+return start2;function start2(code2){const kind=self2.containerState.type||(code2===42||code2===43||code2===45?"listUnordered":"listOrdered");if(kind==="listUnordered"?!self2.containerState.marker||code2===self2.containerState.marker:asciiDigit(code2)){if(self2.containerState.type||(self2.containerState.type=kind,effects.enter(kind,{_container:!0})),kind==="listUnordered")return effects.enter("listItemPrefix"),code2===42||code2===45?effects.check(thematicBreak$2,nok,atMarker)(code2):atMarker(code2);
+if(!self2.interrupt||code2===49)return effects.enter("listItemPrefix"),effects.enter("listItemValue"),inside(code2)}return nok(code2)}function inside(code2){return asciiDigit(code2)&&++size2<10?(effects.consume(code2),inside):(!self2.interrupt||size2<2)&&(self2.containerState.marker?code2===self2.containerState.marker:code2===41||code2===46)?(effects.exit("listItemValue"),atMarker(code2)):nok(code2)}function atMarker(code2){return effects.enter("listItemMarker"),effects.consume(code2),effects.exit(
+"listItemMarker"),self2.containerState.marker=self2.containerState.marker||code2,effects.check(blankLine,self2.interrupt?nok:onBlank,effects.attempt(listItemPrefixWhitespaceConstruct,endOfPrefix,otherPrefix))}function onBlank(code2){return self2.containerState.initialBlankLine=!0,initialSize++,endOfPrefix(code2)}function otherPrefix(code2){return markdownSpace(code2)?(effects.enter("listItemPrefixWhitespace"),effects.consume(code2),effects.exit("listItemPrefixWhitespace"),endOfPrefix):nok(code2)}
+function endOfPrefix(code2){return self2.containerState.size=initialSize+self2.sliceSerialize(effects.exit("listItemPrefix"),!0).length,ok(code2)}}function tokenizeListContinuation(effects,ok,nok){const self2=this;return self2.containerState._closeFlow=void 0,effects.check(blankLine,onBlank,notBlank);function onBlank(code2){return self2.containerState.furtherBlankLines=self2.containerState.furtherBlankLines||self2.containerState.initialBlankLine,factorySpace(effects,ok,"listItemIndent",self2.containerState.
+size+1)(code2)}function notBlank(code2){return self2.containerState.furtherBlankLines||!markdownSpace(code2)?(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,notInCurrentItem(code2)):(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,effects.attempt(indentConstruct,ok,notInCurrentItem)(code2))}function notInCurrentItem(code2){return self2.containerState._closeFlow=!0,self2.interrupt=void 0,factorySpace(effects,effects.
+attempt(list$3,ok,nok),"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2)}}function tokenizeIndent$1(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemIndent",self2.containerState.size+1);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="listItemIndent"&&tail[2].sliceSerialize(tail[1],!0).length===self2.containerState.size?ok(code2):nok(code2)}}function tokenizeListEnd(effects){
+effects.exit(this.containerState.type)}function tokenizeListItemPrefixWhitespace(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemPrefixWhitespace",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:5);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return!markdownSpace(code2)&&tail&&tail[1].type==="listItemPrefixWhitespace"?ok(code2):nok(code2)}}const setextUnderline={name:"setextUnderline",resolveTo:resolveToSetextUnderline,
+tokenize:tokenizeSetextUnderline};function resolveToSetextUnderline(events,context){let index2=events.length,content2,text2,definition2;for(;index2--;)if(events[index2][0]==="enter"){if(events[index2][1].type==="content"){content2=index2;break}events[index2][1].type==="paragraph"&&(text2=index2)}else events[index2][1].type==="content"&&events.splice(index2,1),!definition2&&events[index2][1].type==="definition"&&(definition2=index2);const heading2={type:"setextHeading",start:{...events[content2][1].
+start},end:{...events[events.length-1][1].end}};return events[text2][1].type="setextHeadingText",definition2?(events.splice(text2,0,["enter",heading2,context]),events.splice(definition2+1,0,["exit",events[content2][1],context]),events[content2][1].end={...events[definition2][1].end}):events[content2][1]=heading2,events.push(["exit",heading2,context]),events}function tokenizeSetextUnderline(effects,ok,nok){const self2=this;let marker;return start2;function start2(code2){let index2=self2.events.length,
+paragraph2;for(;index2--;)if(self2.events[index2][1].type!=="lineEnding"&&self2.events[index2][1].type!=="linePrefix"&&self2.events[index2][1].type!=="content"){paragraph2=self2.events[index2][1].type==="paragraph";break}return!self2.parser.lazy[self2.now().line]&&(self2.interrupt||paragraph2)?(effects.enter("setextHeadingLine"),marker=code2,before(code2)):nok(code2)}function before(code2){return effects.enter("setextHeadingLineSequence"),inside(code2)}function inside(code2){return code2===marker?
+(effects.consume(code2),inside):(effects.exit("setextHeadingLineSequence"),markdownSpace(code2)?factorySpace(effects,after,"lineSuffix")(code2):after(code2))}function after(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("setextHeadingLine"),ok(code2)):nok(code2)}}const flow$1={tokenize:initializeFlow};function initializeFlow(effects){const self2=this,initial=effects.attempt(blankLine,atBlankEnding,effects.attempt(this.parser.constructs.flowInitial,afterConstruct,factorySpace(
+effects,effects.attempt(this.parser.constructs.flow,afterConstruct,effects.attempt(content,afterConstruct)),"linePrefix")));return initial;function atBlankEnding(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEndingBlank"),effects.consume(code2),effects.exit("lineEndingBlank"),self2.currentConstruct=void 0,initial}function afterConstruct(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEnding"),effects.consume(code2),effects.exit("l\
+ineEnding"),self2.currentConstruct=void 0,initial}}const resolver={resolveAll:createResolver()},string$1=initializeFactory("string"),text$7=initializeFactory("text");function initializeFactory(field){return{resolveAll:createResolver(field==="text"?resolveAllLineSuffixes:void 0),tokenize:initializeText};function initializeText(effects){const self2=this,constructs2=this.parser.constructs[field],text2=effects.attempt(constructs2,start2,notText);return start2;function start2(code2){return atBreak(code2)?
+text2(code2):notText(code2)}function notText(code2){if(code2===null){effects.consume(code2);return}return effects.enter("data"),effects.consume(code2),data}function data(code2){return atBreak(code2)?(effects.exit("data"),text2(code2)):(effects.consume(code2),data)}function atBreak(code2){if(code2===null)return!0;const list2=constructs2[code2];let index2=-1;if(list2)for(;++index2<list2.length;){const item=list2[index2];if(!item.previous||item.previous.call(self2,self2.previous))return!0}return!1}}}
+function createResolver(extraResolver){return resolveAllText;function resolveAllText(events,context){let index2=-1,enter;for(;++index2<=events.length;)enter===void 0?events[index2]&&events[index2][1].type==="data"&&(enter=index2,index2++):(!events[index2]||events[index2][1].type!=="data")&&(index2!==enter+2&&(events[enter][1].end=events[index2-1][1].end,events.splice(enter+2,index2-enter-2),index2=enter+2),enter=void 0);return extraResolver?extraResolver(events,context):events}}function resolveAllLineSuffixes(events,context){
+let eventIndex=0;for(;++eventIndex<=events.length;)if((eventIndex===events.length||events[eventIndex][1].type==="lineEnding")&&events[eventIndex-1][1].type==="data"){const data=events[eventIndex-1][1],chunks=context.sliceStream(data);let index2=chunks.length,bufferIndex=-1,size2=0,tabs;for(;index2--;){const chunk=chunks[index2];if(typeof chunk=="string"){for(bufferIndex=chunk.length;chunk.charCodeAt(bufferIndex-1)===32;)size2++,bufferIndex--;if(bufferIndex)break;bufferIndex=-1}else if(chunk===-2)
+tabs=!0,size2++;else if(chunk!==-1){index2++;break}}if(context._contentTypeTextTrailing&&eventIndex===events.length&&(size2=0),size2){const token2={type:eventIndex===events.length||tabs||size2<2?"lineSuffix":"hardBreakTrailing",start:{_bufferIndex:index2?bufferIndex:data.start._bufferIndex+bufferIndex,_index:data.start._index+index2,line:data.end.line,column:data.end.column-size2,offset:data.end.offset-size2},end:{...data.end}};data.end={...token2.start},data.start.offset===data.end.offset?Object.
+assign(data,token2):(events.splice(eventIndex,0,["enter",token2,context],["exit",token2,context]),eventIndex+=2)}eventIndex++}return events}const document$1={42:list$3,43:list$3,45:list$3,48:list$3,49:list$3,50:list$3,51:list$3,52:list$3,53:list$3,54:list$3,55:list$3,56:list$3,57:list$3,62:blockQuote},contentInitial={91:definition$1},flowInitial={[-2]:codeIndented,[-1]:codeIndented,32:codeIndented},flow={35:headingAtx,42:thematicBreak$2,45:[setextUnderline,thematicBreak$2],60:htmlFlow,61:setextUnderline,
+95:thematicBreak$2,96:codeFenced,126:codeFenced},string={38:characterReference,92:characterEscape},text$6={[-5]:lineEnding,[-4]:lineEnding,[-3]:lineEnding,33:labelStartImage,38:characterReference,42:attention,60:[autolink,htmlText],91:labelStartLink,92:[hardBreakEscape,characterEscape],93:labelEnd,95:attention,96:codeText},insideSpan={null:[attention,resolver]},attentionMarkers={null:[42,95]},disable={null:[]},defaultConstructs=Object.freeze(Object.defineProperty({__proto__:null,attentionMarkers,
+contentInitial,disable,document:document$1,flow,flowInitial,insideSpan,string,text:text$6},Symbol.toStringTag,{value:"Module"}));function createTokenizer(parser,initialize2,from){let point2={_bufferIndex:-1,_index:0,line:from&&from.line||1,column:from&&from.column||1,offset:from&&from.offset||0};const columnStart={},resolveAllConstructs=[];let chunks=[],stack=[];const effects={attempt:constructFactory(onsuccessfulconstruct),check:constructFactory(onsuccessfulcheck),consume,enter,exit:exit2,interrupt:constructFactory(
+onsuccessfulcheck,{interrupt:!0})},context={code:null,containerState:{},defineSkip,events:[],now:now2,parser,previous:null,sliceSerialize,sliceStream,write};let state2=initialize2.tokenize.call(context,effects);return initialize2.resolveAll&&resolveAllConstructs.push(initialize2),context;function write(slice){return chunks=push(chunks,slice),main2(),chunks[chunks.length-1]!==null?[]:(addResult(initialize2,0),context.events=resolveAll(resolveAllConstructs,context.events,context),context.events)}function sliceSerialize(token2,expandTabs){
+return serializeChunks(sliceStream(token2),expandTabs)}function sliceStream(token2){return sliceChunks(chunks,token2)}function now2(){const{_bufferIndex,_index,line,column,offset:offset2}=point2;return{_bufferIndex,_index,line,column,offset:offset2}}function defineSkip(value){columnStart[value.line]=value.column,accountForPotentialSkip()}function main2(){let chunkIndex;for(;point2._index<chunks.length;){const chunk=chunks[point2._index];if(typeof chunk=="string")for(chunkIndex=point2._index,point2.
+_bufferIndex<0&&(point2._bufferIndex=0);point2._index===chunkIndex&&point2._bufferIndex<chunk.length;)go2(chunk.charCodeAt(point2._bufferIndex));else go2(chunk)}}function go2(code2){state2=state2(code2)}function consume(code2){markdownLineEnding(code2)?(point2.line++,point2.column=1,point2.offset+=code2===-3?2:1,accountForPotentialSkip()):code2!==-1&&(point2.column++,point2.offset++),point2._bufferIndex<0?point2._index++:(point2._bufferIndex++,point2._bufferIndex===chunks[point2._index].length&&
+(point2._bufferIndex=-1,point2._index++)),context.previous=code2}function enter(type2,fields){const token2=fields||{};return token2.type=type2,token2.start=now2(),context.events.push(["enter",token2,context]),stack.push(token2),token2}function exit2(type2){const token2=stack.pop();return token2.end=now2(),context.events.push(["exit",token2,context]),token2}function onsuccessfulconstruct(construct,info2){addResult(construct,info2.from)}function onsuccessfulcheck(_,info2){info2.restore()}function constructFactory(onreturn,fields){
+return hook;function hook(constructs2,returnState,bogusState){let listOfConstructs,constructIndex,currentConstruct,info2;return Array.isArray(constructs2)?handleListOfConstructs(constructs2):"tokenize"in constructs2?handleListOfConstructs([constructs2]):handleMapOfConstructs(constructs2);function handleMapOfConstructs(map2){return start2;function start2(code2){const left=code2!==null&&map2[code2],all2=code2!==null&&map2.null,list2=[...Array.isArray(left)?left:left?[left]:[],...Array.isArray(all2)?
+all2:all2?[all2]:[]];return handleListOfConstructs(list2)(code2)}}function handleListOfConstructs(list2){return listOfConstructs=list2,constructIndex=0,list2.length===0?bogusState:handleConstruct(list2[constructIndex])}function handleConstruct(construct){return start2;function start2(code2){return info2=store(),currentConstruct=construct,construct.partial||(context.currentConstruct=construct),construct.name&&context.parser.constructs.disable.null.includes(construct.name)?nok():construct.tokenize.
+call(fields?Object.assign(Object.create(context),fields):context,effects,ok,nok)(code2)}}function ok(code2){return onreturn(currentConstruct,info2),returnState}function nok(code2){return info2.restore(),++constructIndex<listOfConstructs.length?handleConstruct(listOfConstructs[constructIndex]):bogusState}}}function addResult(construct,from2){construct.resolveAll&&!resolveAllConstructs.includes(construct)&&resolveAllConstructs.push(construct),construct.resolve&&splice(context.events,from2,context.
+events.length-from2,construct.resolve(context.events.slice(from2),context)),construct.resolveTo&&(context.events=construct.resolveTo(context.events,context))}function store(){const startPoint=now2(),startPrevious=context.previous,startCurrentConstruct=context.currentConstruct,startEventsIndex=context.events.length,startStack=Array.from(stack);return{from:startEventsIndex,restore};function restore(){point2=startPoint,context.previous=startPrevious,context.currentConstruct=startCurrentConstruct,context.
+events.length=startEventsIndex,stack=startStack,accountForPotentialSkip()}}function accountForPotentialSkip(){point2.line in columnStart&&point2.column<2&&(point2.column=columnStart[point2.line],point2.offset+=columnStart[point2.line]-1)}}function sliceChunks(chunks,token2){const startIndex=token2.start._index,startBufferIndex=token2.start._bufferIndex,endIndex=token2.end._index,endBufferIndex=token2.end._bufferIndex;let view;if(startIndex===endIndex)view=[chunks[startIndex].slice(startBufferIndex,
+endBufferIndex)];else{if(view=chunks.slice(startIndex,endIndex),startBufferIndex>-1){const head2=view[0];typeof head2=="string"?view[0]=head2.slice(startBufferIndex):view.shift()}endBufferIndex>0&&view.push(chunks[endIndex].slice(0,endBufferIndex))}return view}function serializeChunks(chunks,expandTabs){let index2=-1;const result=[];let atTab;for(;++index2<chunks.length;){const chunk=chunks[index2];let value;if(typeof chunk=="string")value=chunk;else switch(chunk){case-5:{value="\r";break}case-4:{
+value=`
+`;break}case-3:{value=`\r
+`;break}case-2:{value=expandTabs?" ":"	";break}case-1:{if(!expandTabs&&atTab)continue;value=" ";break}default:value=String.fromCharCode(chunk)}atTab=chunk===-2,result.push(value)}return result.join("")}function parse$2(options){const parser={constructs:combineExtensions([defaultConstructs,...(options||{}).extensions||[]]),content:create2(content$1),defined:[],document:create2(document$2),flow:create2(flow$1),lazy:{},string:create2(string$1),text:create2(text$7)};return parser;function create2(initial){
+return creator;function creator(from){return createTokenizer(parser,initial,from)}}}function postprocess(events){for(;!subtokenize(events););return events}const search$1=/[\0\t\n\r]/g;function preprocess(){let column=1,buffer="",start2=!0,atCarriageReturn;return preprocessor;function preprocessor(value,encoding,end){const chunks=[];let match,next2,startPosition,endPosition,code2;for(value=buffer+(typeof value=="string"?value.toString():new TextDecoder(encoding||void 0).decode(value)),startPosition=
+0,buffer="",start2&&(value.charCodeAt(0)===65279&&startPosition++,start2=void 0);startPosition<value.length;){if(search$1.lastIndex=startPosition,match=search$1.exec(value),endPosition=match&&match.index!==void 0?match.index:value.length,code2=value.charCodeAt(endPosition),!match){buffer=value.slice(startPosition);break}if(code2===10&&startPosition===endPosition&&atCarriageReturn)chunks.push(-3),atCarriageReturn=void 0;else switch(atCarriageReturn&&(chunks.push(-5),atCarriageReturn=void 0),startPosition<
+endPosition&&(chunks.push(value.slice(startPosition,endPosition)),column+=endPosition-startPosition),code2){case 0:{chunks.push(65533),column++;break}case 9:{for(next2=Math.ceil(column/4)*4,chunks.push(-2);column++<next2;)chunks.push(-1);break}case 10:{chunks.push(-4),column=1;break}default:atCarriageReturn=!0,column=1}startPosition=endPosition+1}return end&&(atCarriageReturn&&chunks.push(-5),buffer&&chunks.push(buffer),chunks.push(null)),chunks}}const characterEscapeOrReference=/\\([!-/:-@[-`{-~])|&(#(?:\d{1,7}|x[\da-f]{1,6})|[\da-z]{1,31});/gi;
+function decodeString(value){return value.replace(characterEscapeOrReference,decode)}function decode($0,$1,$2){if($1)return $1;if($2.charCodeAt(0)===35){const head3=$2.charCodeAt(1),hex=head3===120||head3===88;return decodeNumericCharacterReference($2.slice(hex?2:1),hex?16:10)}return decodeNamedCharacterReference($2)||$0}function stringifyPosition$1(value){return!value||typeof value!="object"?"":"position"in value||"type"in value?position$2(value.position):"start"in value||"end"in value?position$2(
+value):"line"in value||"column"in value?point$3(value):""}function point$3(point2){return index$1(point2&&point2.line)+":"+index$1(point2&&point2.column)}function position$2(pos){return point$3(pos&&pos.start)+"-"+point$3(pos&&pos.end)}function index$1(value){return value&&typeof value=="number"?value:1}const own$6={}.hasOwnProperty;function fromMarkdown(value,encoding,options){return typeof encoding!="string"&&(options=encoding,encoding=void 0),compiler(options)(postprocess(parse$2(options).document().
+write(preprocess()(value,encoding,!0))))}function compiler(options){const config2={transforms:[],canContainEols:["emphasis","fragment","heading","paragraph","strong"],enter:{autolink:opener(link2),autolinkProtocol:onenterdata,autolinkEmail:onenterdata,atxHeading:opener(heading2),blockQuote:opener(blockQuote2),characterEscape:onenterdata,characterReference:onenterdata,codeFenced:opener(codeFlow),codeFencedFenceInfo:buffer,codeFencedFenceMeta:buffer,codeIndented:opener(codeFlow,buffer),codeText:opener(
+codeText2,buffer),codeTextData:onenterdata,data:onenterdata,codeFlowValue:onenterdata,definition:opener(definition2),definitionDestinationString:buffer,definitionLabelString:buffer,definitionTitleString:buffer,emphasis:opener(emphasis2),hardBreakEscape:opener(hardBreak2),hardBreakTrailing:opener(hardBreak2),htmlFlow:opener(html2,buffer),htmlFlowData:onenterdata,htmlText:opener(html2,buffer),htmlTextData:onenterdata,image:opener(image2),label:buffer,link:opener(link2),listItem:opener(listItem2),listItemValue:onenterlistitemvalue,
+listOrdered:opener(list2,onenterlistordered),listUnordered:opener(list2),paragraph:opener(paragraph2),reference:onenterreference,referenceString:buffer,resourceDestinationString:buffer,resourceTitleString:buffer,setextHeading:opener(heading2),strong:opener(strong2),thematicBreak:opener(thematicBreak2)},exit:{atxHeading:closer(),atxHeadingSequence:onexitatxheadingsequence,autolink:closer(),autolinkEmail:onexitautolinkemail,autolinkProtocol:onexitautolinkprotocol,blockQuote:closer(),characterEscapeValue:onexitdata,
+characterReferenceMarkerHexadecimal:onexitcharacterreferencemarker,characterReferenceMarkerNumeric:onexitcharacterreferencemarker,characterReferenceValue:onexitcharacterreferencevalue,characterReference:onexitcharacterreference,codeFenced:closer(onexitcodefenced),codeFencedFence:onexitcodefencedfence,codeFencedFenceInfo:onexitcodefencedfenceinfo,codeFencedFenceMeta:onexitcodefencedfencemeta,codeFlowValue:onexitdata,codeIndented:closer(onexitcodeindented),codeText:closer(onexitcodetext),codeTextData:onexitdata,
+data:onexitdata,definition:closer(),definitionDestinationString:onexitdefinitiondestinationstring,definitionLabelString:onexitdefinitionlabelstring,definitionTitleString:onexitdefinitiontitlestring,emphasis:closer(),hardBreakEscape:closer(onexithardbreak),hardBreakTrailing:closer(onexithardbreak),htmlFlow:closer(onexithtmlflow),htmlFlowData:onexitdata,htmlText:closer(onexithtmltext),htmlTextData:onexitdata,image:closer(onexitimage),label:onexitlabel,labelText:onexitlabeltext,lineEnding:onexitlineending,
+link:closer(onexitlink),listItem:closer(),listOrdered:closer(),listUnordered:closer(),paragraph:closer(),referenceString:onexitreferencestring,resourceDestinationString:onexitresourcedestinationstring,resourceTitleString:onexitresourcetitlestring,resource:onexitresource,setextHeading:closer(onexitsetextheading),setextHeadingLineSequence:onexitsetextheadinglinesequence,setextHeadingText:onexitsetextheadingtext,strong:closer(),thematicBreak:closer()}};configure$1(config2,(options||{}).mdastExtensions||
+[]);const data={};return compile2;function compile2(events){let tree={type:"root",children:[]};const context={stack:[tree],tokenStack:[],config:config2,enter,exit:exit2,buffer,resume,data},listStack=[];let index2=-1;for(;++index2<events.length;)if(events[index2][1].type==="listOrdered"||events[index2][1].type==="listUnordered")if(events[index2][0]==="enter")listStack.push(index2);else{const tail=listStack.pop();index2=prepareList(events,tail,index2)}for(index2=-1;++index2<events.length;){const handler=config2[events[index2][0]];
+own$6.call(handler,events[index2][1].type)&&handler[events[index2][1].type].call(Object.assign({sliceSerialize:events[index2][2].sliceSerialize},context),events[index2][1])}if(context.tokenStack.length>0){const tail=context.tokenStack[context.tokenStack.length-1];(tail[1]||defaultOnError).call(context,void 0,tail[0])}for(tree.position={start:point$2(events.length>0?events[0][1].start:{line:1,column:1,offset:0}),end:point$2(events.length>0?events[events.length-2][1].end:{line:1,column:1,offset:0})},
+index2=-1;++index2<config2.transforms.length;)tree=config2.transforms[index2](tree)||tree;return tree}function prepareList(events,start2,length){let index2=start2-1,containerBalance=-1,listSpread=!1,listItem3,lineIndex,firstBlankLineIndex,atMarker;for(;++index2<=length;){const event2=events[index2];switch(event2[1].type){case"listUnordered":case"listOrdered":case"blockQuote":{event2[0]==="enter"?containerBalance++:containerBalance--,atMarker=void 0;break}case"lineEndingBlank":{event2[0]==="enter"&&
+(listItem3&&!atMarker&&!containerBalance&&!firstBlankLineIndex&&(firstBlankLineIndex=index2),atMarker=void 0);break}case"linePrefix":case"listItemValue":case"listItemMarker":case"listItemPrefix":case"listItemPrefixWhitespace":break;default:atMarker=void 0}if(!containerBalance&&event2[0]==="enter"&&event2[1].type==="listItemPrefix"||containerBalance===-1&&event2[0]==="exit"&&(event2[1].type==="listUnordered"||event2[1].type==="listOrdered")){if(listItem3){let tailIndex=index2;for(lineIndex=void 0;tailIndex--;){
+const tailEvent=events[tailIndex];if(tailEvent[1].type==="lineEnding"||tailEvent[1].type==="lineEndingBlank"){if(tailEvent[0]==="exit")continue;lineIndex&&(events[lineIndex][1].type="lineEndingBlank",listSpread=!0),tailEvent[1].type="lineEnding",lineIndex=tailIndex}else if(!(tailEvent[1].type==="linePrefix"||tailEvent[1].type==="blockQuotePrefix"||tailEvent[1].type==="blockQuotePrefixWhitespace"||tailEvent[1].type==="blockQuoteMarker"||tailEvent[1].type==="listItemIndent"))break}firstBlankLineIndex&&
+(!lineIndex||firstBlankLineIndex<lineIndex)&&(listItem3._spread=!0),listItem3.end=Object.assign({},lineIndex?events[lineIndex][1].start:event2[1].end),events.splice(lineIndex||index2,0,["exit",listItem3,event2[2]]),index2++,length++}if(event2[1].type==="listItemPrefix"){const item={type:"listItem",_spread:!1,start:Object.assign({},event2[1].start),end:void 0};listItem3=item,events.splice(index2,0,["enter",item,event2[2]]),index2++,length++,firstBlankLineIndex=void 0,atMarker=!0}}}return events[start2][1].
+_spread=listSpread,length}function opener(create2,and){return open2;function open2(token2){enter.call(this,create2(token2),token2),and&&and.call(this,token2)}}function buffer(){this.stack.push({type:"fragment",children:[]})}function enter(node2,token2,errorHandler){this.stack[this.stack.length-1].children.push(node2),this.stack.push(node2),this.tokenStack.push([token2,errorHandler||void 0]),node2.position={start:point$2(token2.start),end:void 0}}function closer(and){return close2;function close2(token2){
+and&&and.call(this,token2),exit2.call(this,token2)}}function exit2(token2,onExitError){const node2=this.stack.pop(),open2=this.tokenStack.pop();if(open2)open2[0].type!==token2.type&&(onExitError?onExitError.call(this,token2,open2[0]):(open2[1]||defaultOnError).call(this,token2,open2[0]));else throw new Error("Cannot close `"+token2.type+"` ("+stringifyPosition$1({start:token2.start,end:token2.end})+"): it’s not open");node2.position.end=point$2(token2.end)}function resume(){return toString$1(this.
+stack.pop())}function onenterlistordered(){this.data.expectingFirstListItemValue=!0}function onenterlistitemvalue(token2){if(this.data.expectingFirstListItemValue){const ancestor=this.stack[this.stack.length-2];ancestor.start=Number.parseInt(this.sliceSerialize(token2),10),this.data.expectingFirstListItemValue=void 0}}function onexitcodefencedfenceinfo(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.lang=data2}function onexitcodefencedfencemeta(){const data2=this.resume(),
+node2=this.stack[this.stack.length-1];node2.meta=data2}function onexitcodefencedfence(){this.data.flowCodeInside||(this.buffer(),this.data.flowCodeInside=!0)}function onexitcodefenced(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2.replace(/^(\r?\n|\r)|(\r?\n|\r)$/g,""),this.data.flowCodeInside=void 0}function onexitcodeindented(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2.replace(/(\r?\n|\r)$/g,"")}function onexitdefinitionlabelstring(token2){
+const label=this.resume(),node2=this.stack[this.stack.length-1];node2.label=label,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase()}function onexitdefinitiontitlestring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.title=data2}function onexitdefinitiondestinationstring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.url=data2}function onexitatxheadingsequence(token2){const node2=this.stack[this.stack.length-1];if(!node2.
+depth){const depth=this.sliceSerialize(token2).length;node2.depth=depth}}function onexitsetextheadingtext(){this.data.setextHeadingSlurpLineEnding=!0}function onexitsetextheadinglinesequence(token2){const node2=this.stack[this.stack.length-1];node2.depth=this.sliceSerialize(token2).codePointAt(0)===61?1:2}function onexitsetextheading(){this.data.setextHeadingSlurpLineEnding=void 0}function onenterdata(token2){const siblings2=this.stack[this.stack.length-1].children;let tail=siblings2[siblings2.length-
+1];(!tail||tail.type!=="text")&&(tail=text2(),tail.position={start:point$2(token2.start),end:void 0},siblings2.push(tail)),this.stack.push(tail)}function onexitdata(token2){const tail=this.stack.pop();tail.value+=this.sliceSerialize(token2),tail.position.end=point$2(token2.end)}function onexitlineending(token2){const context=this.stack[this.stack.length-1];if(this.data.atHardBreak){const tail=context.children[context.children.length-1];tail.position.end=point$2(token2.end),this.data.atHardBreak=
+void 0;return}!this.data.setextHeadingSlurpLineEnding&&config2.canContainEols.includes(context.type)&&(onenterdata.call(this,token2),onexitdata.call(this,token2))}function onexithardbreak(){this.data.atHardBreak=!0}function onexithtmlflow(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2}function onexithtmltext(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2}function onexitcodetext(){const data2=this.resume(),node2=this.stack[this.
+stack.length-1];node2.value=data2}function onexitlink(){const node2=this.stack[this.stack.length-1];if(this.data.inReference){const referenceType=this.data.referenceType||"shortcut";node2.type+="Reference",node2.referenceType=referenceType,delete node2.url,delete node2.title}else delete node2.identifier,delete node2.label;this.data.referenceType=void 0}function onexitimage(){const node2=this.stack[this.stack.length-1];if(this.data.inReference){const referenceType=this.data.referenceType||"shortc\
+ut";node2.type+="Reference",node2.referenceType=referenceType,delete node2.url,delete node2.title}else delete node2.identifier,delete node2.label;this.data.referenceType=void 0}function onexitlabeltext(token2){const string2=this.sliceSerialize(token2),ancestor=this.stack[this.stack.length-2];ancestor.label=decodeString(string2),ancestor.identifier=normalizeIdentifier(string2).toLowerCase()}function onexitlabel(){const fragment=this.stack[this.stack.length-1],value=this.resume(),node2=this.stack[this.
+stack.length-1];if(this.data.inReference=!0,node2.type==="link"){const children=fragment.children;node2.children=children}else node2.alt=value}function onexitresourcedestinationstring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.url=data2}function onexitresourcetitlestring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.title=data2}function onexitresource(){this.data.inReference=void 0}function onenterreference(){this.data.referenceType="collaps\
+ed"}function onexitreferencestring(token2){const label=this.resume(),node2=this.stack[this.stack.length-1];node2.label=label,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase(),this.data.referenceType="full"}function onexitcharacterreferencemarker(token2){this.data.characterReferenceType=token2.type}function onexitcharacterreferencevalue(token2){const data2=this.sliceSerialize(token2),type2=this.data.characterReferenceType;let value;type2?(value=decodeNumericCharacterReference(
+data2,type2==="characterReferenceMarkerNumeric"?10:16),this.data.characterReferenceType=void 0):value=decodeNamedCharacterReference(data2);const tail=this.stack[this.stack.length-1];tail.value+=value}function onexitcharacterreference(token2){const tail=this.stack.pop();tail.position.end=point$2(token2.end)}function onexitautolinkprotocol(token2){onexitdata.call(this,token2);const node2=this.stack[this.stack.length-1];node2.url=this.sliceSerialize(token2)}function onexitautolinkemail(token2){onexitdata.
+call(this,token2);const node2=this.stack[this.stack.length-1];node2.url="mailto:"+this.sliceSerialize(token2)}function blockQuote2(){return{type:"blockquote",children:[]}}function codeFlow(){return{type:"code",lang:null,meta:null,value:""}}function codeText2(){return{type:"inlineCode",value:""}}function definition2(){return{type:"definition",identifier:"",label:null,title:null,url:""}}function emphasis2(){return{type:"emphasis",children:[]}}function heading2(){return{type:"heading",depth:0,children:[]}}
+function hardBreak2(){return{type:"break"}}function html2(){return{type:"html",value:""}}function image2(){return{type:"image",title:null,url:"",alt:null}}function link2(){return{type:"link",title:null,url:"",children:[]}}function list2(token2){return{type:"list",ordered:token2.type==="listOrdered",start:null,spread:token2._spread,children:[]}}function listItem2(token2){return{type:"listItem",spread:token2._spread,checked:null,children:[]}}function paragraph2(){return{type:"paragraph",children:[]}}
+function strong2(){return{type:"strong",children:[]}}function text2(){return{type:"text",value:""}}function thematicBreak2(){return{type:"thematicBreak"}}}function point$2(d2){return{line:d2.line,column:d2.column,offset:d2.offset}}function configure$1(combined,extensions){let index2=-1;for(;++index2<extensions.length;){const value=extensions[index2];Array.isArray(value)?configure$1(combined,value):extension(combined,value)}}function extension(combined,extension2){let key2;for(key2 in extension2)
+if(own$6.call(extension2,key2))switch(key2){case"canContainEols":{const right=extension2[key2];right&&combined[key2].push(...right);break}case"transforms":{const right=extension2[key2];right&&combined[key2].push(...right);break}case"enter":case"exit":{const right=extension2[key2];right&&Object.assign(combined[key2],right);break}}}function defaultOnError(left,right){throw left?new Error("Cannot close `"+left.type+"` ("+stringifyPosition$1({start:left.start,end:left.end})+"): a different token (`"+
+right.type+"`, "+stringifyPosition$1({start:right.start,end:right.end})+") is open"):new Error("Cannot close document, a token (`"+right.type+"`, "+stringifyPosition$1({start:right.start,end:right.end})+") is still open")}function remarkParse(options){const self2=this;self2.parser=parser;function parser(doc){return fromMarkdown(doc,{...self2.data("settings"),...options,extensions:self2.data("micromarkExtensions")||[],mdastExtensions:self2.data("fromMarkdownExtensions")||[]})}}const own$5={}.hasOwnProperty;
+function zwitch(key2,options){const settings=options||{};function one2(value,...parameters){let fn=one2.invalid;const handlers2=one2.handlers;if(value&&own$5.call(value,key2)){const id2=String(value[key2]);fn=own$5.call(handlers2,id2)?handlers2[id2]:one2.unknown}if(fn)return fn.call(this,value,...parameters)}return one2.handlers=settings.handlers||{},one2.invalid=settings.invalid,one2.unknown=settings.unknown,one2}const own$4={}.hasOwnProperty;function configure(base2,extension2){let index2=-1,key2;
+if(extension2.extensions)for(;++index2<extension2.extensions.length;)configure(base2,extension2.extensions[index2]);for(key2 in extension2)if(own$4.call(extension2,key2))switch(key2){case"extensions":break;case"unsafe":{list$2(base2[key2],extension2[key2]);break}case"join":{list$2(base2[key2],extension2[key2]);break}case"handlers":{map$2(base2[key2],extension2[key2]);break}default:base2.options[key2]=extension2[key2]}return base2}function list$2(left,right){right&&left.push(...right)}function map$2(left,right){
+right&&Object.assign(left,right)}function blockquote$1(node2,_,state2,info2){const exit2=state2.enter("blockquote"),tracker=state2.createTracker(info2);tracker.move("> "),tracker.shift(2);const value=state2.indentLines(state2.containerFlow(node2,tracker.current()),map$1);return exit2(),value}function map$1(line,_,blank){return">"+(blank?"":" ")+line}function patternInScope(stack,pattern2){return listInScope(stack,pattern2.inConstruct,!0)&&!listInScope(stack,pattern2.notInConstruct,!1)}function listInScope(stack,list2,none){
+if(typeof list2=="string"&&(list2=[list2]),!list2||list2.length===0)return none;let index2=-1;for(;++index2<list2.length;)if(stack.includes(list2[index2]))return!0;return!1}function hardBreak$1(_,_12,state2,info2){let index2=-1;for(;++index2<state2.unsafe.length;)if(state2.unsafe[index2].character===`
+`&&patternInScope(state2.stack,state2.unsafe[index2]))return/[ \t]/.test(info2.before)?"":" ";return`\\
+`}function longestStreak(value,substring){const source2=String(value);let index2=source2.indexOf(substring),expected=index2,count=0,max2=0;if(typeof substring!="string")throw new TypeError("Expected substring");for(;index2!==-1;)index2===expected?++count>max2&&(max2=count):count=1,expected=index2+substring.length,index2=source2.indexOf(substring,expected);return max2}function formatCodeAsIndented(node2,state2){return!!(state2.options.fences===!1&&node2.value&&!node2.lang&&/[^ \r\n]/.test(node2.value)&&
+!/^[\t ]*(?:[\r\n]|$)|(?:^|[\r\n])[\t ]*$/.test(node2.value))}function checkFence(state2){const marker=state2.options.fence||"`";if(marker!=="`"&&marker!=="~")throw new Error("Cannot serialize code with `"+marker+"` for `options.fence`, expected `` ` `` or `~`");return marker}function code$2(node2,_,state2,info2){const marker=checkFence(state2),raw2=node2.value||"",suffix=marker==="`"?"GraveAccent":"Tilde";if(formatCodeAsIndented(node2,state2)){const exit3=state2.enter("codeIndented"),value2=state2.
+indentLines(raw2,map);return exit3(),value2}const tracker=state2.createTracker(info2),sequence=marker.repeat(Math.max(longestStreak(raw2,marker)+1,3)),exit2=state2.enter("codeFenced");let value=tracker.move(sequence);if(node2.lang){const subexit=state2.enter(`codeFencedLang${suffix}`);value+=tracker.move(state2.safe(node2.lang,{before:value,after:" ",encode:["`"],...tracker.current()})),subexit()}if(node2.lang&&node2.meta){const subexit=state2.enter(`codeFencedMeta${suffix}`);value+=tracker.move(
+" "),value+=tracker.move(state2.safe(node2.meta,{before:value,after:`
+`,encode:["`"],...tracker.current()})),subexit()}return value+=tracker.move(`
+`),raw2&&(value+=tracker.move(raw2+`
+`)),value+=tracker.move(sequence),exit2(),value}function map(line,_,blank){return(blank?"":"    ")+line}function checkQuote(state2){const marker=state2.options.quote||'"';if(marker!=='"'&&marker!=="'")throw new Error("Cannot serialize title with `"+marker+"` for `options.quote`, expected `\"`, or `'`");return marker}function definition(node2,_,state2,info2){const quote=checkQuote(state2),suffix=quote==='"'?"Quote":"Apostrophe",exit2=state2.enter("definition");let subexit=state2.enter("label");const tracker=state2.
+createTracker(info2);let value=tracker.move("[");return value+=tracker.move(state2.safe(state2.associationId(node2),{before:value,after:"]",...tracker.current()})),value+=tracker.move("]: "),subexit(),!node2.url||/[\0- \u007F]/.test(node2.url)?(subexit=state2.enter("destinationLiteral"),value+=tracker.move("<"),value+=tracker.move(state2.safe(node2.url,{before:value,after:">",...tracker.current()})),value+=tracker.move(">")):(subexit=state2.enter("destinationRaw"),value+=tracker.move(state2.safe(
+node2.url,{before:value,after:node2.title?" ":`
+`,...tracker.current()}))),subexit(),node2.title&&(subexit=state2.enter(`title${suffix}`),value+=tracker.move(" "+quote),value+=tracker.move(state2.safe(node2.title,{before:value,after:quote,...tracker.current()})),value+=tracker.move(quote),subexit()),exit2(),value}function checkEmphasis(state2){const marker=state2.options.emphasis||"*";if(marker!=="*"&&marker!=="_")throw new Error("Cannot serialize emphasis with `"+marker+"` for `options.emphasis`, expected `*`, or `_`");return marker}function encodeCharacterReference(code2){
+return"&#x"+code2.toString(16).toUpperCase()+";"}function encodeInfo(outside,inside,marker){const outsideKind=classifyCharacter(outside),insideKind=classifyCharacter(inside);return outsideKind===void 0?insideKind===void 0?marker==="_"?{inside:!0,outside:!0}:{inside:!1,outside:!1}:insideKind===1?{inside:!0,outside:!0}:{inside:!1,outside:!0}:outsideKind===1?insideKind===void 0?{inside:!1,outside:!1}:insideKind===1?{inside:!0,outside:!0}:{inside:!1,outside:!1}:insideKind===void 0?{inside:!1,outside:!1}:
+insideKind===1?{inside:!0,outside:!1}:{inside:!1,outside:!1}}emphasis$1.peek=emphasisPeek;function emphasis$1(node2,_,state2,info2){const marker=checkEmphasis(state2),exit2=state2.enter("emphasis"),tracker=state2.createTracker(info2),before=tracker.move(marker);let between2=tracker.move(state2.containerPhrasing(node2,{after:marker,before,...tracker.current()}));const betweenHead=between2.charCodeAt(0),open2=encodeInfo(info2.before.charCodeAt(info2.before.length-1),betweenHead,marker);open2.inside&&
+(between2=encodeCharacterReference(betweenHead)+between2.slice(1));const betweenTail=between2.charCodeAt(between2.length-1),close2=encodeInfo(info2.after.charCodeAt(0),betweenTail,marker);close2.inside&&(between2=between2.slice(0,-1)+encodeCharacterReference(betweenTail));const after=tracker.move(marker);return exit2(),state2.attentionEncodeSurroundingInfo={after:close2.outside,before:open2.outside},before+between2+after}function emphasisPeek(_,_12,state2){return state2.options.emphasis||"*"}const convert=function(test){
+if(test==null)return ok$1;if(typeof test=="function")return castFactory$1(test);if(typeof test=="object")return Array.isArray(test)?anyFactory$1(test):propsFactory(test);if(typeof test=="string")return typeFactory(test);throw new Error("Expected function, string, or object as test")};function anyFactory$1(tests){const checks2=[];let index2=-1;for(;++index2<tests.length;)checks2[index2]=convert(tests[index2]);return castFactory$1(any2);function any2(...parameters){let index3=-1;for(;++index3<checks2.
+length;)if(checks2[index3].apply(this,parameters))return!0;return!1}}function propsFactory(check){const checkAsRecord=check;return castFactory$1(all2);function all2(node2){const nodeAsRecord=node2;let key2;for(key2 in check)if(nodeAsRecord[key2]!==checkAsRecord[key2])return!1;return!0}}function typeFactory(check){return castFactory$1(type2);function type2(node2){return node2&&node2.type===check}}function castFactory$1(testFunction){return check;function check(value,index2,parent){return!!(looksLikeANode(
+value)&&testFunction.call(this,value,typeof index2=="number"?index2:void 0,parent||void 0))}}function ok$1(){return!0}function looksLikeANode(value){return value!==null&&typeof value=="object"&&"type"in value}const empty$1=[],CONTINUE=!0,EXIT=!1,SKIP="skip";function visitParents(tree,test,visitor,reverse){let check;typeof test=="function"&&typeof visitor!="function"?(reverse=visitor,visitor=test):check=test;const is2=convert(check),step=reverse?-1:1;factory(tree,void 0,[])();function factory(node2,index2,parents){const value=node2&&typeof node2=="object"?node2:{};if(typeof value.type=="string"){const name=typeof value.tagName=="string"?value.tagName:typeof value.name=="string"?value.name:void 0;Object.
+defineProperty(visit2,"name",{value:"node ("+(node2.type+(name?"<"+name+">":""))+")"})}return visit2;function visit2(){let result=empty$1,subresult,offset2,grandparents;if((!test||is2(node2,index2,parents[parents.length-1]||void 0))&&(result=toResult(visitor(node2,parents)),result[0]===EXIT))return result;if("children"in node2&&node2.children){const nodeAsParent=node2;if(nodeAsParent.children&&result[0]!==SKIP)for(offset2=(reverse?nodeAsParent.children.length:-1)+step,grandparents=parents.concat(
+nodeAsParent);offset2>-1&&offset2<nodeAsParent.children.length;){const child2=nodeAsParent.children[offset2];if(subresult=factory(child2,offset2,grandparents)(),subresult[0]===EXIT)return subresult;offset2=typeof subresult[1]=="number"?subresult[1]:offset2+step}}return result}}}function toResult(value){return Array.isArray(value)?value:typeof value=="number"?[CONTINUE,value]:value==null?empty$1:[value]}function visit(tree,testOrVisitor,visitorOrReverse,maybeReverse){let reverse,test,visitor;typeof testOrVisitor==
+"function"&&typeof visitorOrReverse!="function"?(test=void 0,visitor=testOrVisitor,reverse=visitorOrReverse):(test=testOrVisitor,visitor=visitorOrReverse,reverse=maybeReverse),visitParents(tree,test,overload,reverse);function overload(node2,parents){const parent=parents[parents.length-1],index2=parent?parent.children.indexOf(node2):void 0;return visitor(node2,index2,parent)}}function formatHeadingAsSetext(node2,state2){let literalWithBreak=!1;return visit(node2,function(node3){if("value"in node3&&
+/\r?\n|\r/.test(node3.value)||node3.type==="break")return literalWithBreak=!0,EXIT}),!!((!node2.depth||node2.depth<3)&&toString$1(node2)&&(state2.options.setext||literalWithBreak))}function heading$1(node2,_,state2,info2){const rank=Math.max(Math.min(6,node2.depth||1),1),tracker=state2.createTracker(info2);if(formatHeadingAsSetext(node2,state2)){const exit3=state2.enter("headingSetext"),subexit2=state2.enter("phrasing"),value2=state2.containerPhrasing(node2,{...tracker.current(),before:`
+`,after:`
+`});return subexit2(),exit3(),value2+`
+`+(rank===1?"=":"-").repeat(value2.length-(Math.max(value2.lastIndexOf("\r"),value2.lastIndexOf(`
+`))+1))}const sequence="#".repeat(rank),exit2=state2.enter("headingAtx"),subexit=state2.enter("phrasing");tracker.move(sequence+" ");let value=state2.containerPhrasing(node2,{before:"# ",after:`
+`,...tracker.current()});return/^[\t ]/.test(value)&&(value=encodeCharacterReference(value.charCodeAt(0))+value.slice(1)),value=value?sequence+" "+value:sequence,state2.options.closeAtx&&(value+=" "+sequence),subexit(),exit2(),value}html$5.peek=htmlPeek;function html$5(node2){return node2.value||""}function htmlPeek(){return"<"}image$1.peek=imagePeek;function image$1(node2,_,state2,info2){const quote=checkQuote(state2),suffix=quote==='"'?"Quote":"Apostrophe",exit2=state2.enter("image");let subexit=state2.
+enter("label");const tracker=state2.createTracker(info2);let value=tracker.move("![");return value+=tracker.move(state2.safe(node2.alt,{before:value,after:"]",...tracker.current()})),value+=tracker.move("]("),subexit(),!node2.url&&node2.title||/[\0- \u007F]/.test(node2.url)?(subexit=state2.enter("destinationLiteral"),value+=tracker.move("<"),value+=tracker.move(state2.safe(node2.url,{before:value,after:">",...tracker.current()})),value+=tracker.move(">")):(subexit=state2.enter("destinationRaw"),
+value+=tracker.move(state2.safe(node2.url,{before:value,after:node2.title?" ":")",...tracker.current()}))),subexit(),node2.title&&(subexit=state2.enter(`title${suffix}`),value+=tracker.move(" "+quote),value+=tracker.move(state2.safe(node2.title,{before:value,after:quote,...tracker.current()})),value+=tracker.move(quote),subexit()),value+=tracker.move(")"),exit2(),value}function imagePeek(){return"!"}imageReference$1.peek=imageReferencePeek;function imageReference$1(node2,_,state2,info2){const type2=node2.
+referenceType,exit2=state2.enter("imageReference");let subexit=state2.enter("label");const tracker=state2.createTracker(info2);let value=tracker.move("![");const alt=state2.safe(node2.alt,{before:value,after:"]",...tracker.current()});value+=tracker.move(alt+"]["),subexit();const stack=state2.stack;state2.stack=[],subexit=state2.enter("reference");const reference=state2.safe(state2.associationId(node2),{before:value,after:"]",...tracker.current()});return subexit(),state2.stack=stack,exit2(),type2===
+"full"||!alt||alt!==reference?value+=tracker.move(reference+"]"):type2==="shortcut"?value=value.slice(0,-1):value+=tracker.move("]"),value}function imageReferencePeek(){return"!"}inlineCode$1.peek=inlineCodePeek;function inlineCode$1(node2,_,state2){let value=node2.value||"",sequence="`",index2=-1;for(;new RegExp("(^|[^`])"+sequence+"([^`]|$)").test(value);)sequence+="`";for(/[^ \r\n]/.test(value)&&(/^[ \r\n]/.test(value)&&/[ \r\n]$/.test(value)||/^`|`$/.test(value))&&(value=" "+value+" ");++index2<
+state2.unsafe.length;){const pattern2=state2.unsafe[index2],expression=state2.compilePattern(pattern2);let match;if(pattern2.atBreak)for(;match=expression.exec(value);){let position2=match.index;value.charCodeAt(position2)===10&&value.charCodeAt(position2-1)===13&&position2--,value=value.slice(0,position2)+" "+value.slice(match.index+1)}}return sequence+value+sequence}function inlineCodePeek(){return"`"}function formatLinkAsAutolink(node2,state2){const raw2=toString$1(node2);return!!(!state2.options.
+resourceLink&&node2.url&&!node2.title&&node2.children&&node2.children.length===1&&node2.children[0].type==="text"&&(raw2===node2.url||"mailto:"+raw2===node2.url)&&/^[a-z][a-z+.-]+:/i.test(node2.url)&&!/[\0- <>\u007F]/.test(node2.url))}link$1.peek=linkPeek;function link$1(node2,_,state2,info2){const quote=checkQuote(state2),suffix=quote==='"'?"Quote":"Apostrophe",tracker=state2.createTracker(info2);let exit2,subexit;if(formatLinkAsAutolink(node2,state2)){const stack=state2.stack;state2.stack=[],exit2=
+state2.enter("autolink");let value2=tracker.move("<");return value2+=tracker.move(state2.containerPhrasing(node2,{before:value2,after:">",...tracker.current()})),value2+=tracker.move(">"),exit2(),state2.stack=stack,value2}exit2=state2.enter("link"),subexit=state2.enter("label");let value=tracker.move("[");return value+=tracker.move(state2.containerPhrasing(node2,{before:value,after:"](",...tracker.current()})),value+=tracker.move("]("),subexit(),!node2.url&&node2.title||/[\0- \u007F]/.test(node2.
+url)?(subexit=state2.enter("destinationLiteral"),value+=tracker.move("<"),value+=tracker.move(state2.safe(node2.url,{before:value,after:">",...tracker.current()})),value+=tracker.move(">")):(subexit=state2.enter("destinationRaw"),value+=tracker.move(state2.safe(node2.url,{before:value,after:node2.title?" ":")",...tracker.current()}))),subexit(),node2.title&&(subexit=state2.enter(`title${suffix}`),value+=tracker.move(" "+quote),value+=tracker.move(state2.safe(node2.title,{before:value,after:quote,
+...tracker.current()})),value+=tracker.move(quote),subexit()),value+=tracker.move(")"),exit2(),value}function linkPeek(node2,_,state2){return formatLinkAsAutolink(node2,state2)?"<":"["}linkReference$1.peek=linkReferencePeek;function linkReference$1(node2,_,state2,info2){const type2=node2.referenceType,exit2=state2.enter("linkReference");let subexit=state2.enter("label");const tracker=state2.createTracker(info2);let value=tracker.move("[");const text2=state2.containerPhrasing(node2,{before:value,
+after:"]",...tracker.current()});value+=tracker.move(text2+"]["),subexit();const stack=state2.stack;state2.stack=[],subexit=state2.enter("reference");const reference=state2.safe(state2.associationId(node2),{before:value,after:"]",...tracker.current()});return subexit(),state2.stack=stack,exit2(),type2==="full"||!text2||text2!==reference?value+=tracker.move(reference+"]"):type2==="shortcut"?value=value.slice(0,-1):value+=tracker.move("]"),value}function linkReferencePeek(){return"["}function checkBullet(state2){
+const marker=state2.options.bullet||"*";if(marker!=="*"&&marker!=="+"&&marker!=="-")throw new Error("Cannot serialize items with `"+marker+"` for `options.bullet`, expected `*`, `+`, or `-`");return marker}function checkBulletOther(state2){const bullet=checkBullet(state2),bulletOther=state2.options.bulletOther;if(!bulletOther)return bullet==="*"?"-":"*";if(bulletOther!=="*"&&bulletOther!=="+"&&bulletOther!=="-")throw new Error("Cannot serialize items with `"+bulletOther+"` for `options.bulletOth\
+er`, expected `*`, `+`, or `-`");if(bulletOther===bullet)throw new Error("Expected `bullet` (`"+bullet+"`) and `bulletOther` (`"+bulletOther+"`) to be different");return bulletOther}function checkBulletOrdered(state2){const marker=state2.options.bulletOrdered||".";if(marker!=="."&&marker!==")")throw new Error("Cannot serialize items with `"+marker+"` for `options.bulletOrdered`, expected `.` or `)`");return marker}function checkRule(state2){const marker=state2.options.rule||"*";if(marker!=="*"&&
+marker!=="-"&&marker!=="_")throw new Error("Cannot serialize rules with `"+marker+"` for `options.rule`, expected `*`, `-`, or `_`");return marker}function list$1(node2,parent,state2,info2){const exit2=state2.enter("list"),bulletCurrent=state2.bulletCurrent;let bullet=node2.ordered?checkBulletOrdered(state2):checkBullet(state2);const bulletOther=node2.ordered?bullet==="."?")":".":checkBulletOther(state2);let useDifferentMarker=parent&&state2.bulletLastUsed?bullet===state2.bulletLastUsed:!1;if(!node2.
+ordered){const firstListItem=node2.children?node2.children[0]:void 0;if((bullet==="*"||bullet==="-")&&firstListItem&&(!firstListItem.children||!firstListItem.children[0])&&state2.stack[state2.stack.length-1]==="list"&&state2.stack[state2.stack.length-2]==="listItem"&&state2.stack[state2.stack.length-3]==="list"&&state2.stack[state2.stack.length-4]==="listItem"&&state2.indexStack[state2.indexStack.length-1]===0&&state2.indexStack[state2.indexStack.length-2]===0&&state2.indexStack[state2.indexStack.
+length-3]===0&&(useDifferentMarker=!0),checkRule(state2)===bullet&&firstListItem){let index2=-1;for(;++index2<node2.children.length;){const item=node2.children[index2];if(item&&item.type==="listItem"&&item.children&&item.children[0]&&item.children[0].type==="thematicBreak"){useDifferentMarker=!0;break}}}}useDifferentMarker&&(bullet=bulletOther),state2.bulletCurrent=bullet;const value=state2.containerFlow(node2,info2);return state2.bulletLastUsed=bullet,state2.bulletCurrent=bulletCurrent,exit2(),
+value}function checkListItemIndent(state2){const style2=state2.options.listItemIndent||"one";if(style2!=="tab"&&style2!=="one"&&style2!=="mixed")throw new Error("Cannot serialize items with `"+style2+"` for `options.listItemIndent`, expected `tab`, `one`, or `mixed`");return style2}function listItem$1(node2,parent,state2,info2){const listItemIndent=checkListItemIndent(state2);let bullet=state2.bulletCurrent||checkBullet(state2);parent&&parent.type==="list"&&parent.ordered&&(bullet=(typeof parent.
+start=="number"&&parent.start>-1?parent.start:1)+(state2.options.incrementListMarker===!1?0:parent.children.indexOf(node2))+bullet);let size2=bullet.length+1;(listItemIndent==="tab"||listItemIndent==="mixed"&&(parent&&parent.type==="list"&&parent.spread||node2.spread))&&(size2=Math.ceil(size2/4)*4);const tracker=state2.createTracker(info2);tracker.move(bullet+" ".repeat(size2-bullet.length)),tracker.shift(size2);const exit2=state2.enter("listItem"),value=state2.indentLines(state2.containerFlow(node2,
+tracker.current()),map2);return exit2(),value;function map2(line,index2,blank){return index2?(blank?"":" ".repeat(size2))+line:(blank?bullet:bullet+" ".repeat(size2-bullet.length))+line}}function paragraph$1(node2,_,state2,info2){const exit2=state2.enter("paragraph"),subexit=state2.enter("phrasing"),value=state2.containerPhrasing(node2,info2);return subexit(),exit2(),value}const phrasing=convert(["break","delete","emphasis","footnote","footnoteReference","image","imageReference","inlineCode","in\
+lineMath","link","linkReference","mdxJsxTextElement","mdxTextExpression","strong","text","textDirective"]);function root$u(node2,_,state2,info2){return(node2.children.some(function(d2){return phrasing(d2)})?state2.containerPhrasing:state2.containerFlow).call(state2,node2,info2)}function checkStrong(state2){const marker=state2.options.strong||"*";if(marker!=="*"&&marker!=="_")throw new Error("Cannot serialize strong with `"+marker+"` for `options.strong`, expected `*`, or `_`");return marker}strong$1.
+peek=strongPeek;function strong$1(node2,_,state2,info2){const marker=checkStrong(state2),exit2=state2.enter("strong"),tracker=state2.createTracker(info2),before=tracker.move(marker+marker);let between2=tracker.move(state2.containerPhrasing(node2,{after:marker,before,...tracker.current()}));const betweenHead=between2.charCodeAt(0),open2=encodeInfo(info2.before.charCodeAt(info2.before.length-1),betweenHead,marker);open2.inside&&(between2=encodeCharacterReference(betweenHead)+between2.slice(1));const betweenTail=between2.
+charCodeAt(between2.length-1),close2=encodeInfo(info2.after.charCodeAt(0),betweenTail,marker);close2.inside&&(between2=between2.slice(0,-1)+encodeCharacterReference(betweenTail));const after=tracker.move(marker+marker);return exit2(),state2.attentionEncodeSurroundingInfo={after:close2.outside,before:open2.outside},before+between2+after}function strongPeek(_,_12,state2){return state2.options.strong||"*"}function text$5(node2,_,state2,info2){return state2.safe(node2.value,info2)}function checkRuleRepetition(state2){
+const repetition=state2.options.ruleRepetition||3;if(repetition<3)throw new Error("Cannot serialize rules with repetition `"+repetition+"` for `options.ruleRepetition`, expected `3` or more");return repetition}function thematicBreak$1(_,_12,state2){const value=(checkRule(state2)+(state2.options.ruleSpaces?" ":"")).repeat(checkRuleRepetition(state2));return state2.options.ruleSpaces?value.slice(0,-1):value}const handle$1={blockquote:blockquote$1,break:hardBreak$1,code:code$2,definition,emphasis:emphasis$1,
+hardBreak:hardBreak$1,heading:heading$1,html:html$5,image:image$1,imageReference:imageReference$1,inlineCode:inlineCode$1,link:link$1,linkReference:linkReference$1,list:list$1,listItem:listItem$1,paragraph:paragraph$1,root:root$u,strong:strong$1,text:text$5,thematicBreak:thematicBreak$1},join$1=[joinDefaults];function joinDefaults(left,right,parent,state2){if(right.type==="code"&&formatCodeAsIndented(right,state2)&&(left.type==="list"||left.type===right.type&&formatCodeAsIndented(left,state2)))return!1;
+if("spread"in parent&&typeof parent.spread=="boolean")return left.type==="paragraph"&&(left.type===right.type||right.type==="definition"||right.type==="heading"&&formatHeadingAsSetext(right,state2))?void 0:parent.spread?1:0}const fullPhrasingSpans=["autolink","destinationLiteral","destinationRaw","reference","titleQuote","titleApostrophe"],unsafe=[{character:"	",after:"[\\r\\n]",inConstruct:"phrasing"},{character:"	",before:"[\\r\\n]",inConstruct:"phrasing"},{character:"	",inConstruct:["codeFenc\
+edLangGraveAccent","codeFencedLangTilde"]},{character:"\r",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde","codeFencedMetaGraveAccent","codeFencedMetaTilde","destinationLiteral","headingAtx"]},{character:`
+`,inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde","codeFencedMetaGraveAccent","codeFencedMetaTilde","destinationLiteral","headingAtx"]},{character:" ",after:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",before:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde"]},{character:"!",after:"\\[",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{character:'"',inConstruct:"titleQuote"},{atBreak:!0,character:"#"},{character:"\
+#",inConstruct:"headingAtx",after:`(?:[\r
+]|$)`},{character:"&",after:"[#A-Za-z]",inConstruct:"phrasing"},{character:"'",inConstruct:"titleApostrophe"},{character:"(",inConstruct:"destinationRaw"},{before:"\\]",character:"(",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{atBreak:!0,before:"\\d+",character:")"},{character:")",inConstruct:"destinationRaw"},{atBreak:!0,character:"*",after:`(?:[ 	\r
+*])`},{character:"*",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{atBreak:!0,character:"+",after:`(?:[ 	\r
+])`},{atBreak:!0,character:"-",after:`(?:[ 	\r
+-])`},{atBreak:!0,before:"\\d+",character:".",after:`(?:[ 	\r
+]|$)`},{atBreak:!0,character:"<",after:"[!/?A-Za-z]"},{character:"<",after:"[!/?A-Za-z]",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{character:"<",inConstruct:"destinationLiteral"},{atBreak:!0,character:"="},{atBreak:!0,character:">"},{character:">",inConstruct:"destinationLiteral"},{atBreak:!0,character:"["},{character:"[",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{character:"[",inConstruct:["label","reference"]},{character:"\\",after:"[\\r\\n]",inConstruct:"phrasin\
+g"},{character:"]",inConstruct:["label","reference"]},{atBreak:!0,character:"_"},{character:"_",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{atBreak:!0,character:"`"},{character:"`",inConstruct:["codeFencedLangGraveAccent","codeFencedMetaGraveAccent"]},{character:"`",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{atBreak:!0,character:"~"}];function association(node2){return node2.label||!node2.identifier?node2.label||"":decodeString(node2.identifier)}function compilePattern(pattern2){
+if(!pattern2._compiled){const before=(pattern2.atBreak?"[\\r\\n][\\t ]*":"")+(pattern2.before?"(?:"+pattern2.before+")":"");pattern2._compiled=new RegExp((before?"("+before+")":"")+(/[|\\{}()[\]^$+*?.-]/.test(pattern2.character)?"\\":"")+pattern2.character+(pattern2.after?"(?:"+pattern2.after+")":""),"g")}return pattern2._compiled}function containerPhrasing(parent,state2,info2){const indexStack=state2.indexStack,children=parent.children||[],results=[];let index2=-1,before=info2.before,encodeAfter;
+indexStack.push(-1);let tracker=state2.createTracker(info2);for(;++index2<children.length;){const child2=children[index2];let after;if(indexStack[indexStack.length-1]=index2,index2+1<children.length){let handle2=state2.handle.handlers[children[index2+1].type];handle2&&handle2.peek&&(handle2=handle2.peek),after=handle2?handle2(children[index2+1],parent,state2,{before:"",after:"",...tracker.current()}).charAt(0):""}else after=info2.after;results.length>0&&(before==="\r"||before===`
+`)&&child2.type==="html"&&(results[results.length-1]=results[results.length-1].replace(/(\r?\n|\r)$/," "),before=" ",tracker=state2.createTracker(info2),tracker.move(results.join("")));let value=state2.handle(child2,parent,state2,{...tracker.current(),after,before});encodeAfter&&encodeAfter===value.slice(0,1)&&(value=encodeCharacterReference(encodeAfter.charCodeAt(0))+value.slice(1));const encodingInfo=state2.attentionEncodeSurroundingInfo;state2.attentionEncodeSurroundingInfo=void 0,encodeAfter=
+void 0,encodingInfo&&(results.length>0&&encodingInfo.before&&before===results[results.length-1].slice(-1)&&(results[results.length-1]=results[results.length-1].slice(0,-1)+encodeCharacterReference(before.charCodeAt(0))),encodingInfo.after&&(encodeAfter=after)),tracker.move(value),results.push(value),before=value.slice(-1)}return indexStack.pop(),results.join("")}function containerFlow(parent,state2,info2){const indexStack=state2.indexStack,children=parent.children||[],tracker=state2.createTracker(
+info2),results=[];let index2=-1;for(indexStack.push(-1);++index2<children.length;){const child2=children[index2];indexStack[indexStack.length-1]=index2,results.push(tracker.move(state2.handle(child2,parent,state2,{before:`
+`,after:`
+`,...tracker.current()}))),child2.type!=="list"&&(state2.bulletLastUsed=void 0),index2<children.length-1&&results.push(tracker.move(between(child2,children[index2+1],parent,state2)))}return indexStack.pop(),results.join("")}function between(left,right,parent,state2){let index2=state2.join.length;for(;index2--;){const result=state2.join[index2](left,right,parent,state2);if(result===!0||result===1)break;if(typeof result=="number")return`
+`.repeat(1+result);if(result===!1)return`
+
+<!---->
+
+`}return`
+
+`}const eol=/\r?\n|\r/g;function indentLines(value,map2){const result=[];let start2=0,line=0,match;for(;match=eol.exec(value);)one2(value.slice(start2,match.index)),result.push(match[0]),start2=match.index+match[0].length,line++;return one2(value.slice(start2)),result.join("");function one2(value2){result.push(map2(value2,line,!value2))}}function safe(state2,input,config2){const value=(config2.before||"")+(input||"")+(config2.after||""),positions=[],result=[],infos={};let index2=-1;for(;++index2<
+state2.unsafe.length;){const pattern2=state2.unsafe[index2];if(!patternInScope(state2.stack,pattern2))continue;const expression=state2.compilePattern(pattern2);let match;for(;match=expression.exec(value);){const before="before"in pattern2||!!pattern2.atBreak,after="after"in pattern2,position2=match.index+(before?match[1].length:0);positions.includes(position2)?(infos[position2].before&&!before&&(infos[position2].before=!1),infos[position2].after&&!after&&(infos[position2].after=!1)):(positions.push(
+position2),infos[position2]={before,after})}}positions.sort(numerical);let start2=config2.before?config2.before.length:0;const end=value.length-(config2.after?config2.after.length:0);for(index2=-1;++index2<positions.length;){const position2=positions[index2];position2<start2||position2>=end||position2+1<end&&positions[index2+1]===position2+1&&infos[position2].after&&!infos[position2+1].before&&!infos[position2+1].after||positions[index2-1]===position2-1&&infos[position2].before&&!infos[position2-
+1].before&&!infos[position2-1].after||(start2!==position2&&result.push(escapeBackslashes(value.slice(start2,position2),"\\")),start2=position2,/[!-/:-@[-`{-~]/.test(value.charAt(position2))&&(!config2.encode||!config2.encode.includes(value.charAt(position2)))?result.push("\\"):(result.push(encodeCharacterReference(value.charCodeAt(position2))),start2++))}return result.push(escapeBackslashes(value.slice(start2,end),config2.after)),result.join("")}function numerical(a,b){return a-b}function escapeBackslashes(value,after){
+const expression=/\\(?=[!-/:-@[-`{-~])/g,positions=[],results=[],whole=value+after;let index2=-1,start2=0,match;for(;match=expression.exec(whole);)positions.push(match.index);for(;++index2<positions.length;)start2!==positions[index2]&&results.push(value.slice(start2,positions[index2])),results.push("\\"),start2=positions[index2];return results.push(value.slice(start2)),results.join("")}function track(config2){const options=config2||{},now2=options.now||{};let lineShift=options.lineShift||0,line=now2.
+line||1,column=now2.column||1;return{move:move2,current:current2,shift:shift2};function current2(){return{now:{line,column},lineShift}}function shift2(value){lineShift+=value}function move2(input){const value=input||"",chunks=value.split(/\r?\n|\r/g),tail=chunks[chunks.length-1];return line+=chunks.length-1,column=chunks.length===1?column+tail.length:1+tail.length+lineShift,value}}function toMarkdown(tree,options){const settings=options||{},state2={associationId:association,containerPhrasing:containerPhrasingBound,
+containerFlow:containerFlowBound,createTracker:track,compilePattern,enter,handlers:{...handle$1},handle:void 0,indentLines,indexStack:[],join:[...join$1],options:{},safe:safeBound,stack:[],unsafe:[...unsafe]};configure(state2,settings),state2.options.tightDefinitions&&state2.join.push(joinDefinition),state2.handle=zwitch("type",{invalid:invalid$1,unknown:unknown$1,handlers:state2.handlers});let result=state2.handle(tree,void 0,state2,{before:`
+`,after:`
+`,now:{line:1,column:1},lineShift:0});return result&&result.charCodeAt(result.length-1)!==10&&result.charCodeAt(result.length-1)!==13&&(result+=`
+`),result;function enter(name){return state2.stack.push(name),exit2;function exit2(){state2.stack.pop()}}}function invalid$1(value){throw new Error("Cannot handle value `"+value+"`, expected node")}function unknown$1(value){const node2=value;throw new Error("Cannot handle unknown node `"+node2.type+"`")}function joinDefinition(left,right){if(left.type==="definition"&&left.type===right.type)return 0}function containerPhrasingBound(parent,info2){return containerPhrasing(parent,this,info2)}function containerFlowBound(parent,info2){
+return containerFlow(parent,this,info2)}function safeBound(value,config2){return safe(this,value,config2)}function remarkStringify(options){const self2=this;self2.compiler=compiler2;function compiler2(tree){return toMarkdown(tree,{...self2.data("settings"),...options,extensions:self2.data("toMarkdownExtensions")||[]})}}function bail(error2){if(error2)throw error2}var extend$1,hasRequiredExtend;function requireExtend(){if(hasRequiredExtend)return extend$1;hasRequiredExtend=1;var hasOwn=Object.prototype.
+hasOwnProperty,toStr=Object.prototype.toString,defineProperty=Object.defineProperty,gOPD=Object.getOwnPropertyDescriptor,isArray=function(arr){return typeof Array.isArray=="function"?Array.isArray(arr):toStr.call(arr)==="[object Array]"},isPlainObject2=function(obj){if(!obj||toStr.call(obj)!=="[object Object]")return!1;var hasOwnConstructor=hasOwn.call(obj,"constructor"),hasIsPrototypeOf=obj.constructor&&obj.constructor.prototype&&hasOwn.call(obj.constructor.prototype,"isPrototypeOf");if(obj.constructor&&
+!hasOwnConstructor&&!hasIsPrototypeOf)return!1;var key2;for(key2 in obj);return typeof key2>"u"||hasOwn.call(obj,key2)},setProperty=function(target2,options){defineProperty&&options.name==="__proto__"?defineProperty(target2,options.name,{enumerable:!0,configurable:!0,value:options.newValue,writable:!0}):target2[options.name]=options.newValue},getProperty=function(obj,name){if(name==="__proto__")if(hasOwn.call(obj,name)){if(gOPD)return gOPD(obj,name).value}else return;return obj[name]};return extend$1=
+function extend2(){var options,name,src,copy,copyIsArray,clone2,target2=arguments[0],i=1,length=arguments.length,deep=!1;for(typeof target2=="boolean"&&(deep=target2,target2=arguments[1]||{},i=2),(target2==null||typeof target2!="object"&&typeof target2!="function")&&(target2={});i<length;++i)if(options=arguments[i],options!=null)for(name in options)src=getProperty(target2,name),copy=getProperty(options,name),target2!==copy&&(deep&&copy&&(isPlainObject2(copy)||(copyIsArray=isArray(copy)))?(copyIsArray?
+(copyIsArray=!1,clone2=src&&isArray(src)?src:[]):clone2=src&&isPlainObject2(src)?src:{},setProperty(target2,{name,newValue:extend2(deep,clone2,copy)})):typeof copy<"u"&&setProperty(target2,{name,newValue:copy}));return target2},extend$1}var extendExports=requireExtend();const extend=getDefaultExportFromCjs(extendExports);function isPlainObject(value){if(typeof value!="object"||value===null)return!1;const prototype=Object.getPrototypeOf(value);return(prototype===null||prototype===Object.prototype||Object.getPrototypeOf(prototype)===null)&&!(Symbol.toStringTag in value)&&!(Symbol.iterator in value)}function trough(){const fns=[],pipeline={run:run2,use};return pipeline;function run2(...values){let middlewareIndex=-1;const callback=values.pop();if(typeof callback!="function")throw new TypeError("Expected function as\
+ last argument, not "+callback);next2(null,...values);function next2(error2,...output){const fn=fns[++middlewareIndex];let index2=-1;if(error2){callback(error2);return}for(;++index2<values.length;)(output[index2]===null||output[index2]===void 0)&&(output[index2]=values[index2]);values=output,fn?wrap$1(fn,next2)(...output):callback(null,...output)}}function use(middelware){if(typeof middelware!="function")throw new TypeError("Expected `middelware` to be a function, not "+middelware);return fns.push(
+middelware),pipeline}}function wrap$1(middleware,callback){let called;return wrapped;function wrapped(...parameters){const fnExpectsCallback=middleware.length>parameters.length;let result;fnExpectsCallback&&parameters.push(done);try{result=middleware.apply(this,parameters)}catch(error2){const exception=error2;if(fnExpectsCallback&&called)throw exception;return done(exception)}fnExpectsCallback||(result&&result.then&&typeof result.then=="function"?result.then(then,done):result instanceof Error?done(
+result):then(result))}function done(error2,...output){called||(called=!0,callback(error2,...output))}function then(value){done(null,value)}}function stringifyPosition(value){return!value||typeof value!="object"?"":"position"in value||"type"in value?position$1(value.position):"start"in value||"end"in value?position$1(value):"line"in value||"column"in value?point$1(value):""}function point$1(point2){return index(point2&&point2.line)+":"+index(point2&&point2.column)}function position$1(pos){return point$1(
+pos&&pos.start)+"-"+point$1(pos&&pos.end)}function index(value){return value&&typeof value=="number"?value:1}class VFileMessage extends Error{constructor(causeOrReason,optionsOrParentOrPlace,origin2){super(),typeof optionsOrParentOrPlace=="string"&&(origin2=optionsOrParentOrPlace,optionsOrParentOrPlace=void 0);let reason="",options={},legacyCause=!1;if(optionsOrParentOrPlace&&("line"in optionsOrParentOrPlace&&"column"in optionsOrParentOrPlace?options={place:optionsOrParentOrPlace}:"start"in optionsOrParentOrPlace&&
+"end"in optionsOrParentOrPlace?options={place:optionsOrParentOrPlace}:"type"in optionsOrParentOrPlace?options={ancestors:[optionsOrParentOrPlace],place:optionsOrParentOrPlace.position}:options={...optionsOrParentOrPlace}),typeof causeOrReason=="string"?reason=causeOrReason:!options.cause&&causeOrReason&&(legacyCause=!0,reason=causeOrReason.message,options.cause=causeOrReason),!options.ruleId&&!options.source&&typeof origin2=="string"){const index2=origin2.indexOf(":");index2===-1?options.ruleId=
+origin2:(options.source=origin2.slice(0,index2),options.ruleId=origin2.slice(index2+1))}if(!options.place&&options.ancestors&&options.ancestors){const parent=options.ancestors[options.ancestors.length-1];parent&&(options.place=parent.position)}const start2=options.place&&"start"in options.place?options.place.start:options.place;this.ancestors=options.ancestors||void 0,this.cause=options.cause||void 0,this.column=start2?start2.column:void 0,this.fatal=void 0,this.file,this.message=reason,this.line=
+start2?start2.line:void 0,this.name=stringifyPosition(options.place)||"1:1",this.place=options.place||void 0,this.reason=this.message,this.ruleId=options.ruleId||void 0,this.source=options.source||void 0,this.stack=legacyCause&&options.cause&&typeof options.cause.stack=="string"?options.cause.stack:"",this.actual,this.expected,this.note,this.url}}VFileMessage.prototype.file="";VFileMessage.prototype.name="";VFileMessage.prototype.reason="";VFileMessage.prototype.message="";VFileMessage.prototype.
+stack="";VFileMessage.prototype.column=void 0;VFileMessage.prototype.line=void 0;VFileMessage.prototype.ancestors=void 0;VFileMessage.prototype.cause=void 0;VFileMessage.prototype.fatal=void 0;VFileMessage.prototype.place=void 0;VFileMessage.prototype.ruleId=void 0;VFileMessage.prototype.source=void 0;const minpath={basename,dirname,extname,join,sep:"/"};function basename(path2,extname2){if(extname2!==void 0&&typeof extname2!="string")throw new TypeError('"ext" argument must be a string');assertPath$1(
+path2);let start2=0,end=-1,index2=path2.length,seenNonSlash;if(extname2===void 0||extname2.length===0||extname2.length>path2.length){for(;index2--;)if(path2.codePointAt(index2)===47){if(seenNonSlash){start2=index2+1;break}}else end<0&&(seenNonSlash=!0,end=index2+1);return end<0?"":path2.slice(start2,end)}if(extname2===path2)return"";let firstNonSlashEnd=-1,extnameIndex=extname2.length-1;for(;index2--;)if(path2.codePointAt(index2)===47){if(seenNonSlash){start2=index2+1;break}}else firstNonSlashEnd<
+0&&(seenNonSlash=!0,firstNonSlashEnd=index2+1),extnameIndex>-1&&(path2.codePointAt(index2)===extname2.codePointAt(extnameIndex--)?extnameIndex<0&&(end=index2):(extnameIndex=-1,end=firstNonSlashEnd));return start2===end?end=firstNonSlashEnd:end<0&&(end=path2.length),path2.slice(start2,end)}function dirname(path2){if(assertPath$1(path2),path2.length===0)return".";let end=-1,index2=path2.length,unmatchedSlash;for(;--index2;)if(path2.codePointAt(index2)===47){if(unmatchedSlash){end=index2;break}}else
+unmatchedSlash||(unmatchedSlash=!0);return end<0?path2.codePointAt(0)===47?"/":".":end===1&&path2.codePointAt(0)===47?"//":path2.slice(0,end)}function extname(path2){assertPath$1(path2);let index2=path2.length,end=-1,startPart=0,startDot=-1,preDotState=0,unmatchedSlash;for(;index2--;){const code2=path2.codePointAt(index2);if(code2===47){if(unmatchedSlash){startPart=index2+1;break}continue}end<0&&(unmatchedSlash=!0,end=index2+1),code2===46?startDot<0?startDot=index2:preDotState!==1&&(preDotState=
+1):startDot>-1&&(preDotState=-1)}return startDot<0||end<0||preDotState===0||preDotState===1&&startDot===end-1&&startDot===startPart+1?"":path2.slice(startDot,end)}function join(...segments){let index2=-1,joined;for(;++index2<segments.length;)assertPath$1(segments[index2]),segments[index2]&&(joined=joined===void 0?segments[index2]:joined+"/"+segments[index2]);return joined===void 0?".":normalize$1(joined)}function normalize$1(path2){assertPath$1(path2);const absolute=path2.codePointAt(0)===47;let value=normalizeString(
+path2,!absolute);return value.length===0&&!absolute&&(value="."),value.length>0&&path2.codePointAt(path2.length-1)===47&&(value+="/"),absolute?"/"+value:value}function normalizeString(path2,allowAboveRoot){let result="",lastSegmentLength=0,lastSlash=-1,dots=0,index2=-1,code2,lastSlashIndex;for(;++index2<=path2.length;){if(index2<path2.length)code2=path2.codePointAt(index2);else{if(code2===47)break;code2=47}if(code2===47){if(!(lastSlash===index2-1||dots===1))if(lastSlash!==index2-1&&dots===2){if(result.
+length<2||lastSegmentLength!==2||result.codePointAt(result.length-1)!==46||result.codePointAt(result.length-2)!==46){if(result.length>2){if(lastSlashIndex=result.lastIndexOf("/"),lastSlashIndex!==result.length-1){lastSlashIndex<0?(result="",lastSegmentLength=0):(result=result.slice(0,lastSlashIndex),lastSegmentLength=result.length-1-result.lastIndexOf("/")),lastSlash=index2,dots=0;continue}}else if(result.length>0){result="",lastSegmentLength=0,lastSlash=index2,dots=0;continue}}allowAboveRoot&&(result=
+result.length>0?result+"/..":"..",lastSegmentLength=2)}else result.length>0?result+="/"+path2.slice(lastSlash+1,index2):result=path2.slice(lastSlash+1,index2),lastSegmentLength=index2-lastSlash-1;lastSlash=index2,dots=0}else code2===46&&dots>-1?dots++:dots=-1}return result}function assertPath$1(path2){if(typeof path2!="string")throw new TypeError("Path must be a string. Received "+JSON.stringify(path2))}const minproc={cwd};function cwd(){return"/"}function isUrl(fileUrlOrPath){return!!(fileUrlOrPath!==
+null&&typeof fileUrlOrPath=="object"&&"href"in fileUrlOrPath&&fileUrlOrPath.href&&"protocol"in fileUrlOrPath&&fileUrlOrPath.protocol&&fileUrlOrPath.auth===void 0)}function urlToPath(path2){if(typeof path2=="string")path2=new URL(path2);else if(!isUrl(path2)){const error2=new TypeError('The "path" argument must be of type string or an instance of URL. Received `'+path2+"`");throw error2.code="ERR_INVALID_ARG_TYPE",error2}if(path2.protocol!=="file:"){const error2=new TypeError("The URL must be of \
+scheme file");throw error2.code="ERR_INVALID_URL_SCHEME",error2}return getPathFromURLPosix(path2)}function getPathFromURLPosix(url2){if(url2.hostname!==""){const error2=new TypeError('File URL host must be "localhost" or empty on darwin');throw error2.code="ERR_INVALID_FILE_URL_HOST",error2}const pathname=url2.pathname;let index2=-1;for(;++index2<pathname.length;)if(pathname.codePointAt(index2)===37&&pathname.codePointAt(index2+1)===50){const third=pathname.codePointAt(index2+2);if(third===70||third===
+102){const error2=new TypeError("File URL path must not include encoded / characters");throw error2.code="ERR_INVALID_FILE_URL_PATH",error2}}return decodeURIComponent(pathname)}const order=["history","path","basename","stem","extname","dirname"];class VFile{constructor(value){let options;value?isUrl(value)?options={path:value}:typeof value=="string"||isUint8Array$1(value)?options={value}:options=value:options={},this.cwd="cwd"in options?"":minproc.cwd(),this.data={},this.history=[],this.messages=
+[],this.value,this.map,this.result,this.stored;let index2=-1;for(;++index2<order.length;){const field2=order[index2];field2 in options&&options[field2]!==void 0&&options[field2]!==null&&(this[field2]=field2==="history"?[...options[field2]]:options[field2])}let field;for(field in options)order.includes(field)||(this[field]=options[field])}get basename(){return typeof this.path=="string"?minpath.basename(this.path):void 0}set basename(basename2){assertNonEmpty(basename2,"basename"),assertPart(basename2,
+"basename"),this.path=minpath.join(this.dirname||"",basename2)}get dirname(){return typeof this.path=="string"?minpath.dirname(this.path):void 0}set dirname(dirname2){assertPath(this.basename,"dirname"),this.path=minpath.join(dirname2||"",this.basename)}get extname(){return typeof this.path=="string"?minpath.extname(this.path):void 0}set extname(extname2){if(assertPart(extname2,"extname"),assertPath(this.dirname,"extname"),extname2){if(extname2.codePointAt(0)!==46)throw new Error("`extname` must\
+ start with `.`");if(extname2.includes(".",1))throw new Error("`extname` cannot contain multiple dots")}this.path=minpath.join(this.dirname,this.stem+(extname2||""))}get path(){return this.history[this.history.length-1]}set path(path2){isUrl(path2)&&(path2=urlToPath(path2)),assertNonEmpty(path2,"path"),this.path!==path2&&this.history.push(path2)}get stem(){return typeof this.path=="string"?minpath.basename(this.path,this.extname):void 0}set stem(stem){assertNonEmpty(stem,"stem"),assertPart(stem,
+"stem"),this.path=minpath.join(this.dirname||"",stem+(this.extname||""))}fail(causeOrReason,optionsOrParentOrPlace,origin2){const message=this.message(causeOrReason,optionsOrParentOrPlace,origin2);throw message.fatal=!0,message}info(causeOrReason,optionsOrParentOrPlace,origin2){const message=this.message(causeOrReason,optionsOrParentOrPlace,origin2);return message.fatal=void 0,message}message(causeOrReason,optionsOrParentOrPlace,origin2){const message=new VFileMessage(causeOrReason,optionsOrParentOrPlace,
+origin2);return this.path&&(message.name=this.path+":"+message.name,message.file=this.path),message.fatal=!1,this.messages.push(message),message}toString(encoding){return this.value===void 0?"":typeof this.value=="string"?this.value:new TextDecoder(encoding||void 0).decode(this.value)}}function assertPart(part,name){if(part&&part.includes(minpath.sep))throw new Error("`"+name+"` cannot be a path: did not expect `"+minpath.sep+"`")}function assertNonEmpty(part,name){if(!part)throw new Error("`"+name+
+"` cannot be empty")}function assertPath(path2,name){if(!path2)throw new Error("Setting `"+name+"` requires `path` to be set too")}function isUint8Array$1(value){return!!(value&&typeof value=="object"&&"byteLength"in value&&"byteOffset"in value)}const CallableInstance=function(property){const proto=this.constructor.prototype,value=proto[property],apply=function(){return value.apply(apply,arguments)};return Object.setPrototypeOf(apply,proto),apply},own$3={}.hasOwnProperty;class Processor extends CallableInstance{constructor(){
+super("copy"),this.Compiler=void 0,this.Parser=void 0,this.attachers=[],this.compiler=void 0,this.freezeIndex=-1,this.frozen=void 0,this.namespace={},this.parser=void 0,this.transformers=trough()}copy(){const destination=new Processor;let index2=-1;for(;++index2<this.attachers.length;){const attacher=this.attachers[index2];destination.use(...attacher)}return destination.data(extend(!0,{},this.namespace)),destination}data(key2,value){return typeof key2=="string"?arguments.length===2?(assertUnfrozen(
+"data",this.frozen),this.namespace[key2]=value,this):own$3.call(this.namespace,key2)&&this.namespace[key2]||void 0:key2?(assertUnfrozen("data",this.frozen),this.namespace=key2,this):this.namespace}freeze(){if(this.frozen)return this;const self2=this;for(;++this.freezeIndex<this.attachers.length;){const[attacher,...options]=this.attachers[this.freezeIndex];if(options[0]===!1)continue;options[0]===!0&&(options[0]=void 0);const transformer=attacher.call(self2,...options);typeof transformer=="functi\
+on"&&this.transformers.use(transformer)}return this.frozen=!0,this.freezeIndex=Number.POSITIVE_INFINITY,this}parse(file){this.freeze();const realFile=vfile(file),parser=this.parser||this.Parser;return assertParser("parse",parser),parser(String(realFile),realFile)}process(file,done){const self2=this;return this.freeze(),assertParser("process",this.parser||this.Parser),assertCompiler("process",this.compiler||this.Compiler),done?executor(void 0,done):new Promise(executor);function executor(resolve2,reject){
+const realFile=vfile(file),parseTree3=self2.parse(realFile);self2.run(parseTree3,realFile,function(error2,tree,file2){if(error2||!tree||!file2)return realDone(error2);const compileTree=tree,compileResult=self2.stringify(compileTree,file2);looksLikeAValue(compileResult)?file2.value=compileResult:file2.result=compileResult,realDone(error2,file2)});function realDone(error2,file2){error2||!file2?reject(error2):resolve2?resolve2(file2):done(void 0,file2)}}}processSync(file){let complete=!1,result;return this.
+freeze(),assertParser("processSync",this.parser||this.Parser),assertCompiler("processSync",this.compiler||this.Compiler),this.process(file,realDone),assertDone("processSync","process",complete),result;function realDone(error2,file2){complete=!0,bail(error2),result=file2}}run(tree,file,done){assertNode(tree),this.freeze();const transformers=this.transformers;return!done&&typeof file=="function"&&(done=file,file=void 0),done?executor(void 0,done):new Promise(executor);function executor(resolve2,reject){
+const realFile=vfile(file);transformers.run(tree,realFile,realDone);function realDone(error2,outputTree,file2){const resultingTree=outputTree||tree;error2?reject(error2):resolve2?resolve2(resultingTree):done(void 0,resultingTree,file2)}}}runSync(tree,file){let complete=!1,result;return this.run(tree,file,realDone),assertDone("runSync","run",complete),result;function realDone(error2,tree2){bail(error2),result=tree2,complete=!0}}stringify(tree,file){this.freeze();const realFile=vfile(file),compiler2=this.
+compiler||this.Compiler;return assertCompiler("stringify",compiler2),assertNode(tree),compiler2(tree,realFile)}use(value,...parameters){const attachers=this.attachers,namespace=this.namespace;if(assertUnfrozen("use",this.frozen),value!=null)if(typeof value=="function")addPlugin(value,parameters);else if(typeof value=="object")Array.isArray(value)?addList(value):addPreset(value);else throw new TypeError("Expected usable value, not `"+value+"`");return this;function add2(value2){if(typeof value2==
+"function")addPlugin(value2,[]);else if(typeof value2=="object")if(Array.isArray(value2)){const[plugin,...parameters2]=value2;addPlugin(plugin,parameters2)}else addPreset(value2);else throw new TypeError("Expected usable value, not `"+value2+"`")}function addPreset(result){if(!("plugins"in result)&&!("settings"in result))throw new Error("Expected usable value but received an empty preset, which is probably a mistake: presets typically come with `plugins` and sometimes with `settings`, but this h\
+as neither");addList(result.plugins),result.settings&&(namespace.settings=extend(!0,namespace.settings,result.settings))}function addList(plugins){let index2=-1;if(plugins!=null)if(Array.isArray(plugins))for(;++index2<plugins.length;){const thing=plugins[index2];add2(thing)}else throw new TypeError("Expected a list of plugins, not `"+plugins+"`")}function addPlugin(plugin,parameters2){let index2=-1,entryIndex=-1;for(;++index2<attachers.length;)if(attachers[index2][0]===plugin){entryIndex=index2;
+break}if(entryIndex===-1)attachers.push([plugin,...parameters2]);else if(parameters2.length>0){let[primary,...rest]=parameters2;const currentPrimary=attachers[entryIndex][1];isPlainObject(currentPrimary)&&isPlainObject(primary)&&(primary=extend(!0,currentPrimary,primary)),attachers[entryIndex]=[plugin,primary,...rest]}}}}const unified=new Processor().freeze();function assertParser(name,value){if(typeof value!="function")throw new TypeError("Cannot `"+name+"` without `parser`")}function assertCompiler(name,value){
+if(typeof value!="function")throw new TypeError("Cannot `"+name+"` without `compiler`")}function assertUnfrozen(name,frozen){if(frozen)throw new Error("Cannot call `"+name+"` on a frozen processor.\nCreate a new processor first, by calling it: use `processor()` instead of `processor`.")}function assertNode(node2){if(!isPlainObject(node2)||typeof node2.type!="string")throw new TypeError("Expected node, got `"+node2+"`")}function assertDone(name,asyncName,complete){if(!complete)throw new Error("`"+
+name+"` finished async. Use `"+asyncName+"` instead")}function vfile(value){return looksLikeAVFile(value)?value:new VFile(value)}function looksLikeAVFile(value){return!!(value&&typeof value=="object"&&"message"in value&&"messages"in value)}function looksLikeAValue(value){return typeof value=="string"||isUint8Array(value)}function isUint8Array(value){return!!(value&&typeof value=="object"&&"byteLength"in value&&"byteOffset"in value)}const remark=unified().use(remarkParse).use(remarkStringify).freeze();
+function escapeStringRegexp(string2){if(typeof string2!="string")throw new TypeError("Expected a string");return string2.replace(/[|\\{}()[\]^$+*?.]/g,"\\$&").replace(/-/g,"\\x2d")}function findAndReplace(tree,list2,options){const ignored=convert((options||{}).ignore||[]),pairs=toPairs(list2);let pairIndex=-1;for(;++pairIndex<pairs.length;)visitParents(tree,"text",visitor);function visitor(node2,parents){let index2=-1,grandparent;for(;++index2<parents.length;){const parent=parents[index2],siblings2=grandparent?
+grandparent.children:void 0;if(ignored(parent,siblings2?siblings2.indexOf(parent):void 0,grandparent))return;grandparent=parent}if(grandparent)return handler(node2,parents)}function handler(node2,parents){const parent=parents[parents.length-1],find2=pairs[pairIndex][0],replace2=pairs[pairIndex][1];let start2=0;const index2=parent.children.indexOf(node2);let change=!1,nodes2=[];find2.lastIndex=0;let match=find2.exec(node2.value);for(;match;){const position2=match.index,matchObject={index:match.index,
+input:match.input,stack:[...parents,node2]};let value=replace2(...match,matchObject);if(typeof value=="string"&&(value=value.length>0?{type:"text",value}:void 0),value===!1?find2.lastIndex=position2+1:(start2!==position2&&nodes2.push({type:"text",value:node2.value.slice(start2,position2)}),Array.isArray(value)?nodes2.push(...value):value&&nodes2.push(value),start2=position2+match[0].length,change=!0),!find2.global)break;match=find2.exec(node2.value)}return change?(start2<node2.value.length&&nodes2.
+push({type:"text",value:node2.value.slice(start2)}),parent.children.splice(index2,1,...nodes2)):nodes2=[node2],index2+nodes2.length}}function toPairs(tupleOrList){const result=[];if(!Array.isArray(tupleOrList))throw new TypeError("Expected find and replace tuple or list of tuples");const list2=!tupleOrList[0]||Array.isArray(tupleOrList[0])?tupleOrList:[tupleOrList];let index2=-1;for(;++index2<list2.length;){const tuple=list2[index2];result.push([toExpression(tuple[0]),toFunction(tuple[1])])}return result}
+function toExpression(find2){return typeof find2=="string"?new RegExp(escapeStringRegexp(find2),"g"):find2}function toFunction(replace2){return typeof replace2=="function"?replace2:function(){return replace2}}function newlineToBreak(tree){findAndReplace(tree,[/\r?\n|\r/g,replace$1])}function replace$1(){return{type:"break"}}function remarkBreaks(){return function(tree){newlineToBreak(tree)}}function ccount(value,character){const source2=String(value);if(typeof character!="string")throw new TypeError(
+"Expected character");let count=0,index2=source2.indexOf(character);for(;index2!==-1;)count++,index2=source2.indexOf(character,index2+character.length);return count}const inConstruct="phrasing",notInConstruct=["autolink","link","image","label"];function gfmAutolinkLiteralFromMarkdown(){return{transforms:[transformGfmAutolinkLiterals],enter:{literalAutolink:enterLiteralAutolink,literalAutolinkEmail:enterLiteralAutolinkValue,literalAutolinkHttp:enterLiteralAutolinkValue,literalAutolinkWww:enterLiteralAutolinkValue},
+exit:{literalAutolink:exitLiteralAutolink,literalAutolinkEmail:exitLiteralAutolinkEmail,literalAutolinkHttp:exitLiteralAutolinkHttp,literalAutolinkWww:exitLiteralAutolinkWww}}}function gfmAutolinkLiteralToMarkdown(){return{unsafe:[{character:"@",before:"[+\\-.\\w]",after:"[\\-.\\w]",inConstruct,notInConstruct},{character:".",before:"[Ww]",after:"[\\-.\\w]",inConstruct,notInConstruct},{character:":",before:"[ps]",after:"\\/",inConstruct,notInConstruct}]}}function enterLiteralAutolink(token2){this.
+enter({type:"link",title:null,url:"",children:[]},token2)}function enterLiteralAutolinkValue(token2){this.config.enter.autolinkProtocol.call(this,token2)}function exitLiteralAutolinkHttp(token2){this.config.exit.autolinkProtocol.call(this,token2)}function exitLiteralAutolinkWww(token2){this.config.exit.data.call(this,token2);const node2=this.stack[this.stack.length-1];node2.type,node2.url="http://"+this.sliceSerialize(token2)}function exitLiteralAutolinkEmail(token2){this.config.exit.autolinkEmail.
+call(this,token2)}function exitLiteralAutolink(token2){this.exit(token2)}function transformGfmAutolinkLiterals(tree){findAndReplace(tree,[[/(https?:\/\/|www(?=\.))([-.\w]+)([^ \t\r\n]*)/gi,findUrl],[new RegExp("(?<=^|\\s|\\p{P}|\\p{S})([-.\\w+]+)@([-\\w]+(?:\\.[-\\w]+)+)","gu"),findEmail]],{ignore:["link","linkReference"]})}function findUrl(_,protocol,domain2,path2,match){let prefix="";if(!previous$1(match)||(/^w/i.test(protocol)&&(domain2=protocol+domain2,protocol="",prefix="http://"),!isCorrectDomain(
+domain2)))return!1;const parts=splitUrl(domain2+path2);if(!parts[0])return!1;const result={type:"link",title:null,url:prefix+protocol+parts[0],children:[{type:"text",value:protocol+parts[0]}]};return parts[1]?[result,{type:"text",value:parts[1]}]:result}function findEmail(_,atext,label,match){return!previous$1(match,!0)||/[-\d_]$/.test(label)?!1:{type:"link",title:null,url:"mailto:"+atext+"@"+label,children:[{type:"text",value:atext+"@"+label}]}}function isCorrectDomain(domain2){const parts=domain2.
+split(".");return!(parts.length<2||parts[parts.length-1]&&(/_/.test(parts[parts.length-1])||!/[a-zA-Z\d]/.test(parts[parts.length-1]))||parts[parts.length-2]&&(/_/.test(parts[parts.length-2])||!/[a-zA-Z\d]/.test(parts[parts.length-2])))}function splitUrl(url2){const trailExec=/[!"&'),.:;<>?\]}]+$/.exec(url2);if(!trailExec)return[url2,void 0];url2=url2.slice(0,trailExec.index);let trail2=trailExec[0],closingParenIndex=trail2.indexOf(")");const openingParens=ccount(url2,"(");let closingParens=ccount(
+url2,")");for(;closingParenIndex!==-1&&openingParens>closingParens;)url2+=trail2.slice(0,closingParenIndex+1),trail2=trail2.slice(closingParenIndex+1),closingParenIndex=trail2.indexOf(")"),closingParens++;return[url2,trail2]}function previous$1(match,email2){const code2=match.input.charCodeAt(match.index-1);return(match.index===0||unicodeWhitespace(code2)||unicodePunctuation(code2))&&(!email2||code2!==47)}footnoteReference$1.peek=footnoteReferencePeek;function enterFootnoteCallString(){this.buffer()}
+function enterFootnoteCall(token2){this.enter({type:"footnoteReference",identifier:"",label:""},token2)}function enterFootnoteDefinitionLabelString(){this.buffer()}function enterFootnoteDefinition(token2){this.enter({type:"footnoteDefinition",identifier:"",label:"",children:[]},token2)}function exitFootnoteCallString(token2){const label=this.resume(),node2=this.stack[this.stack.length-1];node2.type,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase(),node2.label=label}
+function exitFootnoteCall(token2){this.exit(token2)}function exitFootnoteDefinitionLabelString(token2){const label=this.resume(),node2=this.stack[this.stack.length-1];node2.type,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase(),node2.label=label}function exitFootnoteDefinition(token2){this.exit(token2)}function footnoteReferencePeek(){return"["}function footnoteReference$1(node2,_,state2,info2){const tracker=state2.createTracker(info2);let value=tracker.move("[^");const exit2=state2.
+enter("footnoteReference"),subexit=state2.enter("reference");return value+=tracker.move(state2.safe(state2.associationId(node2),{after:"]",before:value})),subexit(),exit2(),value+=tracker.move("]"),value}function gfmFootnoteFromMarkdown(){return{enter:{gfmFootnoteCallString:enterFootnoteCallString,gfmFootnoteCall:enterFootnoteCall,gfmFootnoteDefinitionLabelString:enterFootnoteDefinitionLabelString,gfmFootnoteDefinition:enterFootnoteDefinition},exit:{gfmFootnoteCallString:exitFootnoteCallString,gfmFootnoteCall:exitFootnoteCall,
+gfmFootnoteDefinitionLabelString:exitFootnoteDefinitionLabelString,gfmFootnoteDefinition:exitFootnoteDefinition}}}function gfmFootnoteToMarkdown(options){let firstLineBlank=!1;return options&&options.firstLineBlank&&(firstLineBlank=!0),{handlers:{footnoteDefinition,footnoteReference:footnoteReference$1},unsafe:[{character:"[",inConstruct:["label","phrasing","reference"]}]};function footnoteDefinition(node2,_,state2,info2){const tracker=state2.createTracker(info2);let value=tracker.move("[^");const exit2=state2.
+enter("footnoteDefinition"),subexit=state2.enter("label");return value+=tracker.move(state2.safe(state2.associationId(node2),{before:value,after:"]"})),subexit(),value+=tracker.move("]:"),node2.children&&node2.children.length>0&&(tracker.shift(4),value+=tracker.move((firstLineBlank?`
+`:" ")+state2.indentLines(state2.containerFlow(node2,tracker.current()),firstLineBlank?mapAll:mapExceptFirst))),exit2(),value}}function mapExceptFirst(line,index2,blank){return index2===0?line:mapAll(line,index2,blank)}function mapAll(line,index2,blank){return(blank?"":"    ")+line}const constructsWithoutStrikethrough=["autolink","destinationLiteral","destinationRaw","reference","titleQuote","titleApostrophe"];handleDelete.peek=peekDelete;function gfmStrikethroughFromMarkdown(){return{canContainEols:[
+"delete"],enter:{strikethrough:enterStrikethrough},exit:{strikethrough:exitStrikethrough}}}function gfmStrikethroughToMarkdown(){return{unsafe:[{character:"~",inConstruct:"phrasing",notInConstruct:constructsWithoutStrikethrough}],handlers:{delete:handleDelete}}}function enterStrikethrough(token2){this.enter({type:"delete",children:[]},token2)}function exitStrikethrough(token2){this.exit(token2)}function handleDelete(node2,_,state2,info2){const tracker=state2.createTracker(info2),exit2=state2.enter(
+"strikethrough");let value=tracker.move("~~");return value+=state2.containerPhrasing(node2,{...tracker.current(),before:value,after:"~"}),value+=tracker.move("~~"),exit2(),value}function peekDelete(){return"~"}function defaultStringLength(value){return value.length}function markdownTable(table2,options){const settings=options||{},align=(settings.align||[]).concat(),stringLength=settings.stringLength||defaultStringLength,alignments=[],cellMatrix=[],sizeMatrix=[],longestCellByColumn=[];let mostCellsPerRow=0,
+rowIndex=-1;for(;++rowIndex<table2.length;){const row3=[],sizes2=[];let columnIndex2=-1;for(table2[rowIndex].length>mostCellsPerRow&&(mostCellsPerRow=table2[rowIndex].length);++columnIndex2<table2[rowIndex].length;){const cell2=serialize$1(table2[rowIndex][columnIndex2]);if(settings.alignDelimiters!==!1){const size2=stringLength(cell2);sizes2[columnIndex2]=size2,(longestCellByColumn[columnIndex2]===void 0||size2>longestCellByColumn[columnIndex2])&&(longestCellByColumn[columnIndex2]=size2)}row3.push(
+cell2)}cellMatrix[rowIndex]=row3,sizeMatrix[rowIndex]=sizes2}let columnIndex=-1;if(typeof align=="object"&&"length"in align)for(;++columnIndex<mostCellsPerRow;)alignments[columnIndex]=toAlignment(align[columnIndex]);else{const code2=toAlignment(align);for(;++columnIndex<mostCellsPerRow;)alignments[columnIndex]=code2}columnIndex=-1;const row2=[],sizes=[];for(;++columnIndex<mostCellsPerRow;){const code2=alignments[columnIndex];let before="",after="";code2===99?(before=":",after=":"):code2===108?before=
+":":code2===114&&(after=":");let size2=settings.alignDelimiters===!1?1:Math.max(1,longestCellByColumn[columnIndex]-before.length-after.length);const cell2=before+"-".repeat(size2)+after;settings.alignDelimiters!==!1&&(size2=before.length+size2+after.length,size2>longestCellByColumn[columnIndex]&&(longestCellByColumn[columnIndex]=size2),sizes[columnIndex]=size2),row2[columnIndex]=cell2}cellMatrix.splice(1,0,row2),sizeMatrix.splice(1,0,sizes),rowIndex=-1;const lines=[];for(;++rowIndex<cellMatrix.length;){
+const row3=cellMatrix[rowIndex],sizes2=sizeMatrix[rowIndex];columnIndex=-1;const line=[];for(;++columnIndex<mostCellsPerRow;){const cell2=row3[columnIndex]||"";let before="",after="";if(settings.alignDelimiters!==!1){const size2=longestCellByColumn[columnIndex]-(sizes2[columnIndex]||0),code2=alignments[columnIndex];code2===114?before=" ".repeat(size2):code2===99?size2%2?(before=" ".repeat(size2/2+.5),after=" ".repeat(size2/2-.5)):(before=" ".repeat(size2/2),after=before):after=" ".repeat(size2)}
+settings.delimiterStart!==!1&&!columnIndex&&line.push("|"),settings.padding!==!1&&!(settings.alignDelimiters===!1&&cell2==="")&&(settings.delimiterStart!==!1||columnIndex)&&line.push(" "),settings.alignDelimiters!==!1&&line.push(before),line.push(cell2),settings.alignDelimiters!==!1&&line.push(after),settings.padding!==!1&&line.push(" "),(settings.delimiterEnd!==!1||columnIndex!==mostCellsPerRow-1)&&line.push("|")}lines.push(settings.delimiterEnd===!1?line.join("").replace(/ +$/,""):line.join(""))}
+return lines.join(`
+`)}function serialize$1(value){return value==null?"":String(value)}function toAlignment(value){const code2=typeof value=="string"?value.codePointAt(0):0;return code2===67||code2===99?99:code2===76||code2===108?108:code2===82||code2===114?114:0}function gfmTableFromMarkdown(){return{enter:{table:enterTable,tableData:enterCell,tableHeader:enterCell,tableRow:enterRow},exit:{codeText:exitCodeText,table:exitTable,tableData:exit,tableHeader:exit,tableRow:exit}}}function enterTable(token2){const align=token2.
+_align;this.enter({type:"table",align:align.map(function(d2){return d2==="none"?null:d2}),children:[]},token2),this.data.inTable=!0}function exitTable(token2){this.exit(token2),this.data.inTable=void 0}function enterRow(token2){this.enter({type:"tableRow",children:[]},token2)}function exit(token2){this.exit(token2)}function enterCell(token2){this.enter({type:"tableCell",children:[]},token2)}function exitCodeText(token2){let value=this.resume();this.data.inTable&&(value=value.replace(/\\([\\|])/g,
+replace));const node2=this.stack[this.stack.length-1];node2.type,node2.value=value,this.exit(token2)}function replace($0,$1){return $1==="|"?$1:$0}function gfmTableToMarkdown(options){const settings=options||{},padding=settings.tableCellPadding,alignDelimiters=settings.tablePipeAlign,stringLength=settings.stringLength,around=padding?" ":"|";return{unsafe:[{character:"\r",inConstruct:"tableCell"},{character:`
+`,inConstruct:"tableCell"},{atBreak:!0,character:"|",after:"[	 :-]"},{character:"|",inConstruct:"tableCell"},{atBreak:!0,character:":",after:"-"},{atBreak:!0,character:"-",after:"[:|-]"}],handlers:{inlineCode:inlineCodeWithTable,table:handleTable,tableCell:handleTableCell,tableRow:handleTableRow}};function handleTable(node2,_,state2,info2){return serializeData(handleTableAsData(node2,state2,info2),node2.align)}function handleTableRow(node2,_,state2,info2){const row2=handleTableRowAsData(node2,state2,
+info2),value=serializeData([row2]);return value.slice(0,value.indexOf(`
+`))}function handleTableCell(node2,_,state2,info2){const exit2=state2.enter("tableCell"),subexit=state2.enter("phrasing"),value=state2.containerPhrasing(node2,{...info2,before:around,after:around});return subexit(),exit2(),value}function serializeData(matrix,align){return markdownTable(matrix,{align,alignDelimiters,padding,stringLength})}function handleTableAsData(node2,state2,info2){const children=node2.children;let index2=-1;const result=[],subexit=state2.enter("table");for(;++index2<children.
+length;)result[index2]=handleTableRowAsData(children[index2],state2,info2);return subexit(),result}function handleTableRowAsData(node2,state2,info2){const children=node2.children;let index2=-1;const result=[],subexit=state2.enter("tableRow");for(;++index2<children.length;)result[index2]=handleTableCell(children[index2],node2,state2,info2);return subexit(),result}function inlineCodeWithTable(node2,parent,state2){let value=handle$1.inlineCode(node2,parent,state2);return state2.stack.includes("tabl\
+eCell")&&(value=value.replace(/\|/g,"\\$&")),value}}function gfmTaskListItemFromMarkdown(){return{exit:{taskListCheckValueChecked:exitCheck,taskListCheckValueUnchecked:exitCheck,paragraph:exitParagraphWithTaskListItem}}}function gfmTaskListItemToMarkdown(){return{unsafe:[{atBreak:!0,character:"-",after:"[:|-]"}],handlers:{listItem:listItemWithTaskListItem}}}function exitCheck(token2){const node2=this.stack[this.stack.length-2];node2.type,node2.checked=token2.type==="taskListCheckValueChecked"}function exitParagraphWithTaskListItem(token2){
+const parent=this.stack[this.stack.length-2];if(parent&&parent.type==="listItem"&&typeof parent.checked=="boolean"){const node2=this.stack[this.stack.length-1];node2.type;const head2=node2.children[0];if(head2&&head2.type==="text"){const siblings2=parent.children;let index2=-1,firstParaghraph;for(;++index2<siblings2.length;){const sibling2=siblings2[index2];if(sibling2.type==="paragraph"){firstParaghraph=sibling2;break}}firstParaghraph===node2&&(head2.value=head2.value.slice(1),head2.value.length===
+0?node2.children.shift():node2.position&&head2.position&&typeof head2.position.start.offset=="number"&&(head2.position.start.column++,head2.position.start.offset++,node2.position.start=Object.assign({},head2.position.start)))}}this.exit(token2)}function listItemWithTaskListItem(node2,parent,state2,info2){const head2=node2.children[0],checkable=typeof node2.checked=="boolean"&&head2&&head2.type==="paragraph",checkbox="["+(node2.checked?"x":" ")+"] ",tracker=state2.createTracker(info2);checkable&&
+tracker.move(checkbox);let value=handle$1.listItem(node2,parent,state2,{...info2,...tracker.current()});return checkable&&(value=value.replace(/^(?:[*+-]|\d+\.)([\r\n]| {1,3})/,check)),value;function check($0){return $0+checkbox}}function gfmFromMarkdown(){return[gfmAutolinkLiteralFromMarkdown(),gfmFootnoteFromMarkdown(),gfmStrikethroughFromMarkdown(),gfmTableFromMarkdown(),gfmTaskListItemFromMarkdown()]}function gfmToMarkdown(options){return{extensions:[gfmAutolinkLiteralToMarkdown(),gfmFootnoteToMarkdown(
+options),gfmStrikethroughToMarkdown(),gfmTableToMarkdown(options),gfmTaskListItemToMarkdown()]}}const wwwPrefix={tokenize:tokenizeWwwPrefix,partial:!0},domain={tokenize:tokenizeDomain,partial:!0},path$1={tokenize:tokenizePath,partial:!0},trail={tokenize:tokenizeTrail,partial:!0},emailDomainDotTrail={tokenize:tokenizeEmailDomainDotTrail,partial:!0},wwwAutolink={name:"wwwAutolink",tokenize:tokenizeWwwAutolink,previous:previousWww},protocolAutolink={name:"protocolAutolink",tokenize:tokenizeProtocolAutolink,
+previous:previousProtocol},emailAutolink={name:"emailAutolink",tokenize:tokenizeEmailAutolink,previous:previousEmail},text$4={};function gfmAutolinkLiteral(){return{text:text$4}}let code$1=48;for(;code$1<123;)text$4[code$1]=emailAutolink,code$1++,code$1===58?code$1=65:code$1===91&&(code$1=97);text$4[43]=emailAutolink;text$4[45]=emailAutolink;text$4[46]=emailAutolink;text$4[95]=emailAutolink;text$4[72]=[emailAutolink,protocolAutolink];text$4[104]=[emailAutolink,protocolAutolink];text$4[87]=[emailAutolink,
+wwwAutolink];text$4[119]=[emailAutolink,wwwAutolink];function tokenizeEmailAutolink(effects,ok,nok){const self2=this;let dot,data;return start2;function start2(code2){return!gfmAtext(code2)||!previousEmail.call(self2,self2.previous)||previousUnbalanced(self2.events)?nok(code2):(effects.enter("literalAutolink"),effects.enter("literalAutolinkEmail"),atext(code2))}function atext(code2){return gfmAtext(code2)?(effects.consume(code2),atext):code2===64?(effects.consume(code2),emailDomain):nok(code2)}function emailDomain(code2){
+return code2===46?effects.check(emailDomainDotTrail,emailDomainAfter,emailDomainDot)(code2):code2===45||code2===95||asciiAlphanumeric(code2)?(data=!0,effects.consume(code2),emailDomain):emailDomainAfter(code2)}function emailDomainDot(code2){return effects.consume(code2),dot=!0,emailDomain}function emailDomainAfter(code2){return data&&dot&&asciiAlpha(self2.previous)?(effects.exit("literalAutolinkEmail"),effects.exit("literalAutolink"),ok(code2)):nok(code2)}}function tokenizeWwwAutolink(effects,ok,nok){
+const self2=this;return wwwStart;function wwwStart(code2){return code2!==87&&code2!==119||!previousWww.call(self2,self2.previous)||previousUnbalanced(self2.events)?nok(code2):(effects.enter("literalAutolink"),effects.enter("literalAutolinkWww"),effects.check(wwwPrefix,effects.attempt(domain,effects.attempt(path$1,wwwAfter),nok),nok)(code2))}function wwwAfter(code2){return effects.exit("literalAutolinkWww"),effects.exit("literalAutolink"),ok(code2)}}function tokenizeProtocolAutolink(effects,ok,nok){
+const self2=this;let buffer="",seen2=!1;return protocolStart;function protocolStart(code2){return(code2===72||code2===104)&&previousProtocol.call(self2,self2.previous)&&!previousUnbalanced(self2.events)?(effects.enter("literalAutolink"),effects.enter("literalAutolinkHttp"),buffer+=String.fromCodePoint(code2),effects.consume(code2),protocolPrefixInside):nok(code2)}function protocolPrefixInside(code2){if(asciiAlpha(code2)&&buffer.length<5)return buffer+=String.fromCodePoint(code2),effects.consume(
+code2),protocolPrefixInside;if(code2===58){const protocol=buffer.toLowerCase();if(protocol==="http"||protocol==="https")return effects.consume(code2),protocolSlashesInside}return nok(code2)}function protocolSlashesInside(code2){return code2===47?(effects.consume(code2),seen2?afterProtocol:(seen2=!0,protocolSlashesInside)):nok(code2)}function afterProtocol(code2){return code2===null||asciiControl(code2)||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)||unicodePunctuation(code2)?nok(code2):
+effects.attempt(domain,effects.attempt(path$1,protocolAfter),nok)(code2)}function protocolAfter(code2){return effects.exit("literalAutolinkHttp"),effects.exit("literalAutolink"),ok(code2)}}function tokenizeWwwPrefix(effects,ok,nok){let size2=0;return wwwPrefixInside;function wwwPrefixInside(code2){return(code2===87||code2===119)&&size2<3?(size2++,effects.consume(code2),wwwPrefixInside):code2===46&&size2===3?(effects.consume(code2),wwwPrefixAfter):nok(code2)}function wwwPrefixAfter(code2){return code2===
+null?nok(code2):ok(code2)}}function tokenizeDomain(effects,ok,nok){let underscoreInLastSegment,underscoreInLastLastSegment,seen2;return domainInside;function domainInside(code2){return code2===46||code2===95?effects.check(trail,domainAfter,domainAtPunctuation)(code2):code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)||code2!==45&&unicodePunctuation(code2)?domainAfter(code2):(seen2=!0,effects.consume(code2),domainInside)}function domainAtPunctuation(code2){return code2===95?
+underscoreInLastSegment=!0:(underscoreInLastLastSegment=underscoreInLastSegment,underscoreInLastSegment=void 0),effects.consume(code2),domainInside}function domainAfter(code2){return underscoreInLastLastSegment||underscoreInLastSegment||!seen2?nok(code2):ok(code2)}}function tokenizePath(effects,ok){let sizeOpen=0,sizeClose=0;return pathInside;function pathInside(code2){return code2===40?(sizeOpen++,effects.consume(code2),pathInside):code2===41&&sizeClose<sizeOpen?pathAtPunctuation(code2):code2===
+33||code2===34||code2===38||code2===39||code2===41||code2===42||code2===44||code2===46||code2===58||code2===59||code2===60||code2===63||code2===93||code2===95||code2===126?effects.check(trail,ok,pathAtPunctuation)(code2):code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)?ok(code2):(effects.consume(code2),pathInside)}function pathAtPunctuation(code2){return code2===41&&sizeClose++,effects.consume(code2),pathInside}}function tokenizeTrail(effects,ok,nok){return trail2;function trail2(code2){
+return code2===33||code2===34||code2===39||code2===41||code2===42||code2===44||code2===46||code2===58||code2===59||code2===63||code2===95||code2===126?(effects.consume(code2),trail2):code2===38?(effects.consume(code2),trailCharacterReferenceStart):code2===93?(effects.consume(code2),trailBracketAfter):code2===60||code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)?ok(code2):nok(code2)}function trailBracketAfter(code2){return code2===null||code2===40||code2===91||markdownLineEndingOrSpace(
+code2)||unicodeWhitespace(code2)?ok(code2):trail2(code2)}function trailCharacterReferenceStart(code2){return asciiAlpha(code2)?trailCharacterReferenceInside(code2):nok(code2)}function trailCharacterReferenceInside(code2){return code2===59?(effects.consume(code2),trail2):asciiAlpha(code2)?(effects.consume(code2),trailCharacterReferenceInside):nok(code2)}}function tokenizeEmailDomainDotTrail(effects,ok,nok){return start2;function start2(code2){return effects.consume(code2),after}function after(code2){
+return asciiAlphanumeric(code2)?nok(code2):ok(code2)}}function previousWww(code2){return code2===null||code2===40||code2===42||code2===95||code2===91||code2===93||code2===126||markdownLineEndingOrSpace(code2)}function previousProtocol(code2){return!asciiAlpha(code2)}function previousEmail(code2){return!(code2===47||gfmAtext(code2))}function gfmAtext(code2){return code2===43||code2===45||code2===46||code2===95||asciiAlphanumeric(code2)}function previousUnbalanced(events){let index2=events.length,
+result=!1;for(;index2--;){const token2=events[index2][1];if((token2.type==="labelLink"||token2.type==="labelImage")&&!token2._balanced){result=!0;break}if(token2._gfmAutolinkLiteralWalkedInto){result=!1;break}}return events.length>0&&!result&&(events[events.length-1][1]._gfmAutolinkLiteralWalkedInto=!0),result}const indent={tokenize:tokenizeIndent,partial:!0};function gfmFootnote(){return{document:{91:{name:"gfmFootnoteDefinition",tokenize:tokenizeDefinitionStart,continuation:{tokenize:tokenizeDefinitionContinuation},
+exit:gfmFootnoteDefinitionEnd}},text:{91:{name:"gfmFootnoteCall",tokenize:tokenizeGfmFootnoteCall},93:{name:"gfmPotentialFootnoteCall",add:"after",tokenize:tokenizePotentialGfmFootnoteCall,resolveTo:resolveToPotentialGfmFootnoteCall}}}}function tokenizePotentialGfmFootnoteCall(effects,ok,nok){const self2=this;let index2=self2.events.length;const defined=self2.parser.gfmFootnotes||(self2.parser.gfmFootnotes=[]);let labelStart;for(;index2--;){const token2=self2.events[index2][1];if(token2.type==="\
+labelImage"){labelStart=token2;break}if(token2.type==="gfmFootnoteCall"||token2.type==="labelLink"||token2.type==="label"||token2.type==="image"||token2.type==="link")break}return start2;function start2(code2){if(!labelStart||!labelStart._balanced)return nok(code2);const id2=normalizeIdentifier(self2.sliceSerialize({start:labelStart.end,end:self2.now()}));return id2.codePointAt(0)!==94||!defined.includes(id2.slice(1))?nok(code2):(effects.enter("gfmFootnoteCallLabelMarker"),effects.consume(code2),
+effects.exit("gfmFootnoteCallLabelMarker"),ok(code2))}}function resolveToPotentialGfmFootnoteCall(events,context){let index2=events.length;for(;index2--;)if(events[index2][1].type==="labelImage"&&events[index2][0]==="enter"){events[index2][1];break}events[index2+1][1].type="data",events[index2+3][1].type="gfmFootnoteCallLabelMarker";const call={type:"gfmFootnoteCall",start:Object.assign({},events[index2+3][1].start),end:Object.assign({},events[events.length-1][1].end)},marker={type:"gfmFootnoteC\
+allMarker",start:Object.assign({},events[index2+3][1].end),end:Object.assign({},events[index2+3][1].end)};marker.end.column++,marker.end.offset++,marker.end._bufferIndex++;const string2={type:"gfmFootnoteCallString",start:Object.assign({},marker.end),end:Object.assign({},events[events.length-1][1].start)},chunk={type:"chunkString",contentType:"string",start:Object.assign({},string2.start),end:Object.assign({},string2.end)},replacement=[events[index2+1],events[index2+2],["enter",call,context],events[index2+
+3],events[index2+4],["enter",marker,context],["exit",marker,context],["enter",string2,context],["enter",chunk,context],["exit",chunk,context],["exit",string2,context],events[events.length-2],events[events.length-1],["exit",call,context]];return events.splice(index2,events.length-index2+1,...replacement),events}function tokenizeGfmFootnoteCall(effects,ok,nok){const self2=this,defined=self2.parser.gfmFootnotes||(self2.parser.gfmFootnotes=[]);let size2=0,data;return start2;function start2(code2){return effects.
+enter("gfmFootnoteCall"),effects.enter("gfmFootnoteCallLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteCallLabelMarker"),callStart}function callStart(code2){return code2!==94?nok(code2):(effects.enter("gfmFootnoteCallMarker"),effects.consume(code2),effects.exit("gfmFootnoteCallMarker"),effects.enter("gfmFootnoteCallString"),effects.enter("chunkString").contentType="string",callData)}function callData(code2){if(size2>999||code2===93&&!data||code2===null||code2===91||markdownLineEndingOrSpace(
+code2))return nok(code2);if(code2===93){effects.exit("chunkString");const token2=effects.exit("gfmFootnoteCallString");return defined.includes(normalizeIdentifier(self2.sliceSerialize(token2)))?(effects.enter("gfmFootnoteCallLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteCallLabelMarker"),effects.exit("gfmFootnoteCall"),ok):nok(code2)}return markdownLineEndingOrSpace(code2)||(data=!0),size2++,effects.consume(code2),code2===92?callEscape:callData}function callEscape(code2){return code2===
+91||code2===92||code2===93?(effects.consume(code2),size2++,callData):callData(code2)}}function tokenizeDefinitionStart(effects,ok,nok){const self2=this,defined=self2.parser.gfmFootnotes||(self2.parser.gfmFootnotes=[]);let identifier2,size2=0,data;return start2;function start2(code2){return effects.enter("gfmFootnoteDefinition")._container=!0,effects.enter("gfmFootnoteDefinitionLabel"),effects.enter("gfmFootnoteDefinitionLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteDefinitionLabe\
+lMarker"),labelAtMarker}function labelAtMarker(code2){return code2===94?(effects.enter("gfmFootnoteDefinitionMarker"),effects.consume(code2),effects.exit("gfmFootnoteDefinitionMarker"),effects.enter("gfmFootnoteDefinitionLabelString"),effects.enter("chunkString").contentType="string",labelInside):nok(code2)}function labelInside(code2){if(size2>999||code2===93&&!data||code2===null||code2===91||markdownLineEndingOrSpace(code2))return nok(code2);if(code2===93){effects.exit("chunkString");const token2=effects.
+exit("gfmFootnoteDefinitionLabelString");return identifier2=normalizeIdentifier(self2.sliceSerialize(token2)),effects.enter("gfmFootnoteDefinitionLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteDefinitionLabelMarker"),effects.exit("gfmFootnoteDefinitionLabel"),labelAfter}return markdownLineEndingOrSpace(code2)||(data=!0),size2++,effects.consume(code2),code2===92?labelEscape:labelInside}function labelEscape(code2){return code2===91||code2===92||code2===93?(effects.consume(code2),size2++,
+labelInside):labelInside(code2)}function labelAfter(code2){return code2===58?(effects.enter("definitionMarker"),effects.consume(code2),effects.exit("definitionMarker"),defined.includes(identifier2)||defined.push(identifier2),factorySpace(effects,whitespaceAfter,"gfmFootnoteDefinitionWhitespace")):nok(code2)}function whitespaceAfter(code2){return ok(code2)}}function tokenizeDefinitionContinuation(effects,ok,nok){return effects.check(blankLine,ok,effects.attempt(indent,ok,nok))}function gfmFootnoteDefinitionEnd(effects){
+effects.exit("gfmFootnoteDefinition")}function tokenizeIndent(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"gfmFootnoteDefinitionIndent",5);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="gfmFootnoteDefinitionIndent"&&tail[2].sliceSerialize(tail[1],!0).length===4?ok(code2):nok(code2)}}function gfmStrikethrough(options){let single=(options||{}).singleTilde;const tokenizer={name:"strikethrough",tokenize:tokenizeStrikethrough,
+resolveAll:resolveAllStrikethrough};return single==null&&(single=!0),{text:{126:tokenizer},insideSpan:{null:[tokenizer]},attentionMarkers:{null:[126]}};function resolveAllStrikethrough(events,context){let index2=-1;for(;++index2<events.length;)if(events[index2][0]==="enter"&&events[index2][1].type==="strikethroughSequenceTemporary"&&events[index2][1]._close){let open2=index2;for(;open2--;)if(events[open2][0]==="exit"&&events[open2][1].type==="strikethroughSequenceTemporary"&&events[open2][1]._open&&
+events[index2][1].end.offset-events[index2][1].start.offset===events[open2][1].end.offset-events[open2][1].start.offset){events[index2][1].type="strikethroughSequence",events[open2][1].type="strikethroughSequence";const strikethrough2={type:"strikethrough",start:Object.assign({},events[open2][1].start),end:Object.assign({},events[index2][1].end)},text2={type:"strikethroughText",start:Object.assign({},events[open2][1].end),end:Object.assign({},events[index2][1].start)},nextEvents=[["enter",strikethrough2,
+context],["enter",events[open2][1],context],["exit",events[open2][1],context],["enter",text2,context]],insideSpan2=context.parser.constructs.insideSpan.null;insideSpan2&&splice(nextEvents,nextEvents.length,0,resolveAll(insideSpan2,events.slice(open2+1,index2),context)),splice(nextEvents,nextEvents.length,0,[["exit",text2,context],["enter",events[index2][1],context],["exit",events[index2][1],context],["exit",strikethrough2,context]]),splice(events,open2-1,index2-open2+3,nextEvents),index2=open2+nextEvents.
+length-2;break}}for(index2=-1;++index2<events.length;)events[index2][1].type==="strikethroughSequenceTemporary"&&(events[index2][1].type="data");return events}function tokenizeStrikethrough(effects,ok,nok){const previous2=this.previous,events=this.events;let size2=0;return start2;function start2(code2){return previous2===126&&events[events.length-1][1].type!=="characterEscape"?nok(code2):(effects.enter("strikethroughSequenceTemporary"),more(code2))}function more(code2){const before=classifyCharacter(
+previous2);if(code2===126)return size2>1?nok(code2):(effects.consume(code2),size2++,more);if(size2<2&&!single)return nok(code2);const token2=effects.exit("strikethroughSequenceTemporary"),after=classifyCharacter(code2);return token2._open=!after||after===2&&!!before,token2._close=!before||before===2&&!!after,ok(code2)}}}class EditMap{constructor(){this.map=[]}add(index2,remove2,add2){addImplementation(this,index2,remove2,add2)}consume(events){if(this.map.sort(function(a,b){return a[0]-b[0]}),this.
+map.length===0)return;let index2=this.map.length;const vecs=[];for(;index2>0;)index2-=1,vecs.push(events.slice(this.map[index2][0]+this.map[index2][1]),this.map[index2][2]),events.length=this.map[index2][0];vecs.push(events.slice()),events.length=0;let slice=vecs.pop();for(;slice;){for(const element2 of slice)events.push(element2);slice=vecs.pop()}this.map.length=0}}function addImplementation(editMap,at,remove2,add2){let index2=0;if(!(remove2===0&&add2.length===0)){for(;index2<editMap.map.length;){
+if(editMap.map[index2][0]===at){editMap.map[index2][1]+=remove2,editMap.map[index2][2].push(...add2);return}index2+=1}editMap.map.push([at,remove2,add2])}}function gfmTableAlign(events,index2){let inDelimiterRow=!1;const align=[];for(;index2<events.length;){const event2=events[index2];if(inDelimiterRow){if(event2[0]==="enter")event2[1].type==="tableContent"&&align.push(events[index2+1][1].type==="tableDelimiterMarker"?"left":"none");else if(event2[1].type==="tableContent"){if(events[index2-1][1].
+type==="tableDelimiterMarker"){const alignIndex=align.length-1;align[alignIndex]=align[alignIndex]==="left"?"center":"right"}}else if(event2[1].type==="tableDelimiterRow")break}else event2[0]==="enter"&&event2[1].type==="tableDelimiterRow"&&(inDelimiterRow=!0);index2+=1}return align}function gfmTable(){return{flow:{null:{name:"table",tokenize:tokenizeTable,resolveAll:resolveTable}}}}function tokenizeTable(effects,ok,nok){const self2=this;let size2=0,sizeB=0,seen2;return start2;function start2(code2){
+let index2=self2.events.length-1;for(;index2>-1;){const type2=self2.events[index2][1].type;if(type2==="lineEnding"||type2==="linePrefix")index2--;else break}const tail=index2>-1?self2.events[index2][1].type:null,next2=tail==="tableHead"||tail==="tableRow"?bodyRowStart:headRowBefore;return next2===bodyRowStart&&self2.parser.lazy[self2.now().line]?nok(code2):next2(code2)}function headRowBefore(code2){return effects.enter("tableHead"),effects.enter("tableRow"),headRowStart(code2)}function headRowStart(code2){
+return code2===124||(seen2=!0,sizeB+=1),headRowBreak(code2)}function headRowBreak(code2){return code2===null?nok(code2):markdownLineEnding(code2)?sizeB>1?(sizeB=0,self2.interrupt=!0,effects.exit("tableRow"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),headDelimiterStart):nok(code2):markdownSpace(code2)?factorySpace(effects,headRowBreak,"whitespace")(code2):(sizeB+=1,seen2&&(seen2=!1,size2+=1),code2===124?(effects.enter("tableCellDivider"),effects.consume(code2),effects.
+exit("tableCellDivider"),seen2=!0,headRowBreak):(effects.enter("data"),headRowData(code2)))}function headRowData(code2){return code2===null||code2===124||markdownLineEndingOrSpace(code2)?(effects.exit("data"),headRowBreak(code2)):(effects.consume(code2),code2===92?headRowEscape:headRowData)}function headRowEscape(code2){return code2===92||code2===124?(effects.consume(code2),headRowData):headRowData(code2)}function headDelimiterStart(code2){return self2.interrupt=!1,self2.parser.lazy[self2.now().
+line]?nok(code2):(effects.enter("tableDelimiterRow"),seen2=!1,markdownSpace(code2)?factorySpace(effects,headDelimiterBefore,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):headDelimiterBefore(code2))}function headDelimiterBefore(code2){return code2===45||code2===58?headDelimiterValueBefore(code2):code2===124?(seen2=!0,effects.enter("tableCellDivider"),effects.consume(code2),effects.exit("tableCellDivider"),headDelimiterCellBefore):headDelimiterNok(code2)}
+function headDelimiterCellBefore(code2){return markdownSpace(code2)?factorySpace(effects,headDelimiterValueBefore,"whitespace")(code2):headDelimiterValueBefore(code2)}function headDelimiterValueBefore(code2){return code2===58?(sizeB+=1,seen2=!0,effects.enter("tableDelimiterMarker"),effects.consume(code2),effects.exit("tableDelimiterMarker"),headDelimiterLeftAlignmentAfter):code2===45?(sizeB+=1,headDelimiterLeftAlignmentAfter(code2)):code2===null||markdownLineEnding(code2)?headDelimiterCellAfter(
+code2):headDelimiterNok(code2)}function headDelimiterLeftAlignmentAfter(code2){return code2===45?(effects.enter("tableDelimiterFiller"),headDelimiterFiller(code2)):headDelimiterNok(code2)}function headDelimiterFiller(code2){return code2===45?(effects.consume(code2),headDelimiterFiller):code2===58?(seen2=!0,effects.exit("tableDelimiterFiller"),effects.enter("tableDelimiterMarker"),effects.consume(code2),effects.exit("tableDelimiterMarker"),headDelimiterRightAlignmentAfter):(effects.exit("tableDel\
+imiterFiller"),headDelimiterRightAlignmentAfter(code2))}function headDelimiterRightAlignmentAfter(code2){return markdownSpace(code2)?factorySpace(effects,headDelimiterCellAfter,"whitespace")(code2):headDelimiterCellAfter(code2)}function headDelimiterCellAfter(code2){return code2===124?headDelimiterBefore(code2):code2===null||markdownLineEnding(code2)?!seen2||size2!==sizeB?headDelimiterNok(code2):(effects.exit("tableDelimiterRow"),effects.exit("tableHead"),ok(code2)):headDelimiterNok(code2)}function headDelimiterNok(code2){
+return nok(code2)}function bodyRowStart(code2){return effects.enter("tableRow"),bodyRowBreak(code2)}function bodyRowBreak(code2){return code2===124?(effects.enter("tableCellDivider"),effects.consume(code2),effects.exit("tableCellDivider"),bodyRowBreak):code2===null||markdownLineEnding(code2)?(effects.exit("tableRow"),ok(code2)):markdownSpace(code2)?factorySpace(effects,bodyRowBreak,"whitespace")(code2):(effects.enter("data"),bodyRowData(code2))}function bodyRowData(code2){return code2===null||code2===
+124||markdownLineEndingOrSpace(code2)?(effects.exit("data"),bodyRowBreak(code2)):(effects.consume(code2),code2===92?bodyRowEscape:bodyRowData)}function bodyRowEscape(code2){return code2===92||code2===124?(effects.consume(code2),bodyRowData):bodyRowData(code2)}}function resolveTable(events,context){let index2=-1,inFirstCellAwaitingPipe=!0,rowKind=0,lastCell=[0,0,0,0],cell2=[0,0,0,0],afterHeadAwaitingFirstBodyRow=!1,lastTableEnd=0,currentTable,currentBody,currentCell;const map2=new EditMap;for(;++index2<
+events.length;){const event2=events[index2],token2=event2[1];event2[0]==="enter"?token2.type==="tableHead"?(afterHeadAwaitingFirstBodyRow=!1,lastTableEnd!==0&&(flushTableEnd(map2,context,lastTableEnd,currentTable,currentBody),currentBody=void 0,lastTableEnd=0),currentTable={type:"table",start:Object.assign({},token2.start),end:Object.assign({},token2.end)},map2.add(index2,0,[["enter",currentTable,context]])):token2.type==="tableRow"||token2.type==="tableDelimiterRow"?(inFirstCellAwaitingPipe=!0,
+currentCell=void 0,lastCell=[0,0,0,0],cell2=[0,index2+1,0,0],afterHeadAwaitingFirstBodyRow&&(afterHeadAwaitingFirstBodyRow=!1,currentBody={type:"tableBody",start:Object.assign({},token2.start),end:Object.assign({},token2.end)},map2.add(index2,0,[["enter",currentBody,context]])),rowKind=token2.type==="tableDelimiterRow"?2:currentBody?3:1):rowKind&&(token2.type==="data"||token2.type==="tableDelimiterMarker"||token2.type==="tableDelimiterFiller")?(inFirstCellAwaitingPipe=!1,cell2[2]===0&&(lastCell[1]!==
+0&&(cell2[0]=cell2[1],currentCell=flushCell(map2,context,lastCell,rowKind,void 0,currentCell),lastCell=[0,0,0,0]),cell2[2]=index2)):token2.type==="tableCellDivider"&&(inFirstCellAwaitingPipe?inFirstCellAwaitingPipe=!1:(lastCell[1]!==0&&(cell2[0]=cell2[1],currentCell=flushCell(map2,context,lastCell,rowKind,void 0,currentCell)),lastCell=cell2,cell2=[lastCell[1],index2,0,0])):token2.type==="tableHead"?(afterHeadAwaitingFirstBodyRow=!0,lastTableEnd=index2):token2.type==="tableRow"||token2.type==="ta\
+bleDelimiterRow"?(lastTableEnd=index2,lastCell[1]!==0?(cell2[0]=cell2[1],currentCell=flushCell(map2,context,lastCell,rowKind,index2,currentCell)):cell2[1]!==0&&(currentCell=flushCell(map2,context,cell2,rowKind,index2,currentCell)),rowKind=0):rowKind&&(token2.type==="data"||token2.type==="tableDelimiterMarker"||token2.type==="tableDelimiterFiller")&&(cell2[3]=index2)}for(lastTableEnd!==0&&flushTableEnd(map2,context,lastTableEnd,currentTable,currentBody),map2.consume(context.events),index2=-1;++index2<
+context.events.length;){const event2=context.events[index2];event2[0]==="enter"&&event2[1].type==="table"&&(event2[1]._align=gfmTableAlign(context.events,index2))}return events}function flushCell(map2,context,range,rowKind,rowEnd,previousCell){const groupName=rowKind===1?"tableHeader":rowKind===2?"tableDelimiter":"tableData",valueName="tableContent";range[0]!==0&&(previousCell.end=Object.assign({},getPoint(context.events,range[0])),map2.add(range[0],0,[["exit",previousCell,context]]));const now2=getPoint(
+context.events,range[1]);if(previousCell={type:groupName,start:Object.assign({},now2),end:Object.assign({},now2)},map2.add(range[1],0,[["enter",previousCell,context]]),range[2]!==0){const relatedStart=getPoint(context.events,range[2]),relatedEnd=getPoint(context.events,range[3]),valueToken={type:valueName,start:Object.assign({},relatedStart),end:Object.assign({},relatedEnd)};if(map2.add(range[2],0,[["enter",valueToken,context]]),rowKind!==2){const start2=context.events[range[2]],end=context.events[range[3]];
+if(start2[1].end=Object.assign({},end[1].end),start2[1].type="chunkText",start2[1].contentType="text",range[3]>range[2]+1){const a=range[2]+1,b=range[3]-range[2]-1;map2.add(a,b,[])}}map2.add(range[3]+1,0,[["exit",valueToken,context]])}return rowEnd!==void 0&&(previousCell.end=Object.assign({},getPoint(context.events,rowEnd)),map2.add(rowEnd,0,[["exit",previousCell,context]]),previousCell=void 0),previousCell}function flushTableEnd(map2,context,index2,table2,tableBody){const exits=[],related=getPoint(
+context.events,index2);tableBody&&(tableBody.end=Object.assign({},related),exits.push(["exit",tableBody,context])),table2.end=Object.assign({},related),exits.push(["exit",table2,context]),map2.add(index2+1,0,exits)}function getPoint(events,index2){const event2=events[index2],side=event2[0]==="enter"?"start":"end";return event2[1][side]}const tasklistCheck={name:"tasklistCheck",tokenize:tokenizeTasklistCheck};function gfmTaskListItem(){return{text:{91:tasklistCheck}}}function tokenizeTasklistCheck(effects,ok,nok){
+const self2=this;return open2;function open2(code2){return self2.previous!==null||!self2._gfmTasklistFirstContentOfListItem?nok(code2):(effects.enter("taskListCheck"),effects.enter("taskListCheckMarker"),effects.consume(code2),effects.exit("taskListCheckMarker"),inside)}function inside(code2){return markdownLineEndingOrSpace(code2)?(effects.enter("taskListCheckValueUnchecked"),effects.consume(code2),effects.exit("taskListCheckValueUnchecked"),close2):code2===88||code2===120?(effects.enter("taskL\
+istCheckValueChecked"),effects.consume(code2),effects.exit("taskListCheckValueChecked"),close2):nok(code2)}function close2(code2){return code2===93?(effects.enter("taskListCheckMarker"),effects.consume(code2),effects.exit("taskListCheckMarker"),effects.exit("taskListCheck"),after):nok(code2)}function after(code2){return markdownLineEnding(code2)?ok(code2):markdownSpace(code2)?effects.check({tokenize:spaceThenNonSpace},ok,nok)(code2):nok(code2)}}function spaceThenNonSpace(effects,ok,nok){return factorySpace(
+effects,after,"whitespace");function after(code2){return code2===null?nok(code2):ok(code2)}}function gfm(options){return combineExtensions([gfmAutolinkLiteral(),gfmFootnote(),gfmStrikethrough(options),gfmTable(),gfmTaskListItem()])}const emptyOptions$6={};function remarkGfm(options){const self2=this,settings=options||emptyOptions$6,data=self2.data(),micromarkExtensions=data.micromarkExtensions||(data.micromarkExtensions=[]),fromMarkdownExtensions=data.fromMarkdownExtensions||(data.fromMarkdownExtensions=
+[]),toMarkdownExtensions=data.toMarkdownExtensions||(data.toMarkdownExtensions=[]);micromarkExtensions.push(gfm(settings)),fromMarkdownExtensions.push(gfmFromMarkdown()),toMarkdownExtensions.push(gfmToMarkdown(settings))}function mathFromMarkdown(){return{enter:{mathFlow:enterMathFlow,mathFlowFenceMeta:enterMathFlowMeta,mathText:enterMathText},exit:{mathFlow:exitMathFlow,mathFlowFence:exitMathFlowFence,mathFlowFenceMeta:exitMathFlowMeta,mathFlowValue:exitMathData,mathText:exitMathText,mathTextData:exitMathData}};
+function enterMathFlow(token2){const code2={type:"element",tagName:"code",properties:{className:["language-math","math-display"]},children:[]};this.enter({type:"math",meta:null,value:"",data:{hName:"pre",hChildren:[code2]}},token2)}function enterMathFlowMeta(){this.buffer()}function exitMathFlowMeta(){const data=this.resume(),node2=this.stack[this.stack.length-1];node2.type,node2.meta=data}function exitMathFlowFence(){this.data.mathFlowInside||(this.buffer(),this.data.mathFlowInside=!0)}function exitMathFlow(token2){
+const data=this.resume().replace(/^(\r?\n|\r)|(\r?\n|\r)$/g,""),node2=this.stack[this.stack.length-1];node2.type,this.exit(token2),node2.value=data;const code2=node2.data.hChildren[0];code2.type,code2.tagName,code2.children.push({type:"text",value:data}),this.data.mathFlowInside=void 0}function enterMathText(token2){this.enter({type:"inlineMath",value:"",data:{hName:"code",hProperties:{className:["language-math","math-inline"]},hChildren:[]}},token2),this.buffer()}function exitMathText(token2){const data=this.
+resume(),node2=this.stack[this.stack.length-1];node2.type,this.exit(token2),node2.value=data,node2.data.hChildren.push({type:"text",value:data})}function exitMathData(token2){this.config.enter.data.call(this,token2),this.config.exit.data.call(this,token2)}}function mathToMarkdown(options){let single=(options||{}).singleDollarTextMath;return single==null&&(single=!0),inlineMath.peek=inlineMathPeek,{unsafe:[{character:"\r",inConstruct:"mathFlowMeta"},{character:`
+`,inConstruct:"mathFlowMeta"},{character:"$",after:single?void 0:"\\$",inConstruct:"phrasing"},{character:"$",inConstruct:"mathFlowMeta"},{atBreak:!0,character:"$",after:"\\$"}],handlers:{math:math2,inlineMath}};function math2(node2,_,state2,info2){const raw2=node2.value||"",tracker=state2.createTracker(info2),sequence="$".repeat(Math.max(longestStreak(raw2,"$")+1,2)),exit2=state2.enter("mathFlow");let value=tracker.move(sequence);if(node2.meta){const subexit=state2.enter("mathFlowMeta");value+=
+tracker.move(state2.safe(node2.meta,{after:`
+`,before:value,encode:["$"],...tracker.current()})),subexit()}return value+=tracker.move(`
+`),raw2&&(value+=tracker.move(raw2+`
+`)),value+=tracker.move(sequence),exit2(),value}function inlineMath(node2,_,state2){let value=node2.value||"",size2=1;for(single||size2++;new RegExp("(^|[^$])"+"\\$".repeat(size2)+"([^$]|$)").test(value);)size2++;const sequence="$".repeat(size2);/[^ \r\n]/.test(value)&&(/^[ \r\n]/.test(value)&&/[ \r\n]$/.test(value)||/^\$|\$$/.test(value))&&(value=" "+value+" ");let index2=-1;for(;++index2<state2.unsafe.length;){const pattern2=state2.unsafe[index2];if(!pattern2.atBreak)continue;const expression=state2.
+compilePattern(pattern2);let match;for(;match=expression.exec(value);){let position2=match.index;value.codePointAt(position2)===10&&value.codePointAt(position2-1)===13&&position2--,value=value.slice(0,position2)+" "+value.slice(match.index+1)}}return sequence+value+sequence}function inlineMathPeek(){return"$"}}const mathFlow={tokenize:tokenizeMathFenced,concrete:!0,name:"mathFlow"},nonLazyContinuation={tokenize:tokenizeNonLazyContinuation,partial:!0};function tokenizeMathFenced(effects,ok,nok){const self2=this,
+tail=self2.events[self2.events.length-1],initialSize=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0;let sizeOpen=0;return start2;function start2(code2){return effects.enter("mathFlow"),effects.enter("mathFlowFence"),effects.enter("mathFlowFenceSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===36?(effects.consume(code2),sizeOpen++,sequenceOpen):sizeOpen<2?nok(code2):(effects.exit("mathFlowFenceSequence"),factorySpace(effects,metaBefore,"whit\
+espace")(code2))}function metaBefore(code2){return code2===null||markdownLineEnding(code2)?metaAfter(code2):(effects.enter("mathFlowFenceMeta"),effects.enter("chunkString",{contentType:"string"}),meta(code2))}function meta(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),effects.exit("mathFlowFenceMeta"),metaAfter(code2)):code2===36?nok(code2):(effects.consume(code2),meta)}function metaAfter(code2){return effects.exit("mathFlowFence"),self2.interrupt?ok(code2):effects.
+attempt(nonLazyContinuation,beforeNonLazyContinuation,after)(code2)}function beforeNonLazyContinuation(code2){return effects.attempt({tokenize:tokenizeClosingFence,partial:!0},after,contentStart)(code2)}function contentStart(code2){return(initialSize?factorySpace(effects,beforeContentChunk,"linePrefix",initialSize+1):beforeContentChunk)(code2)}function beforeContentChunk(code2){return code2===null?after(code2):markdownLineEnding(code2)?effects.attempt(nonLazyContinuation,beforeNonLazyContinuation,
+after)(code2):(effects.enter("mathFlowValue"),contentChunk(code2))}function contentChunk(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("mathFlowValue"),beforeContentChunk(code2)):(effects.consume(code2),contentChunk)}function after(code2){return effects.exit("mathFlow"),ok(code2)}function tokenizeClosingFence(effects2,ok2,nok2){let size2=0;return factorySpace(effects2,beforeSequenceClose,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4);function beforeSequenceClose(code2){
+return effects2.enter("mathFlowFence"),effects2.enter("mathFlowFenceSequence"),sequenceClose(code2)}function sequenceClose(code2){return code2===36?(size2++,effects2.consume(code2),sequenceClose):size2<sizeOpen?nok2(code2):(effects2.exit("mathFlowFenceSequence"),factorySpace(effects2,afterSequenceClose,"whitespace")(code2))}function afterSequenceClose(code2){return code2===null||markdownLineEnding(code2)?(effects2.exit("mathFlowFence"),ok2(code2)):nok2(code2)}}}function tokenizeNonLazyContinuation(effects,ok,nok){
+const self2=this;return start2;function start2(code2){return code2===null?ok(code2):(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineStart)}function lineStart(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}function mathText(options){let single=(options||{}).singleDollarTextMath;return single==null&&(single=!0),{tokenize:tokenizeMathText,resolve:resolveMathText,previous,name:"mathText"};function tokenizeMathText(effects,ok,nok){let sizeOpen=0,
+size2,token2;return start2;function start2(code2){return effects.enter("mathText"),effects.enter("mathTextSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===36?(effects.consume(code2),sizeOpen++,sequenceOpen):sizeOpen<2&&!single?nok(code2):(effects.exit("mathTextSequence"),between2(code2))}function between2(code2){return code2===null?nok(code2):code2===36?(token2=effects.enter("mathTextSequence"),size2=0,sequenceClose(code2)):code2===32?(effects.enter("space"),effects.consume(
+code2),effects.exit("space"),between2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),between2):(effects.enter("mathTextData"),data(code2))}function data(code2){return code2===null||code2===32||code2===36||markdownLineEnding(code2)?(effects.exit("mathTextData"),between2(code2)):(effects.consume(code2),data)}function sequenceClose(code2){return code2===36?(effects.consume(code2),size2++,sequenceClose):size2===sizeOpen?(effects.exit("mathTe\
+xtSequence"),effects.exit("mathText"),ok(code2)):(token2.type="mathTextData",data(code2))}}}function resolveMathText(events){let tailExitIndex=events.length-4,headEnterIndex=3,index2,enter;if((events[headEnterIndex][1].type==="lineEnding"||events[headEnterIndex][1].type==="space")&&(events[tailExitIndex][1].type==="lineEnding"||events[tailExitIndex][1].type==="space")){for(index2=headEnterIndex;++index2<tailExitIndex;)if(events[index2][1].type==="mathTextData"){events[tailExitIndex][1].type="mat\
+hTextPadding",events[headEnterIndex][1].type="mathTextPadding",headEnterIndex+=2,tailExitIndex-=2;break}}for(index2=headEnterIndex-1,tailExitIndex++;++index2<=tailExitIndex;)enter===void 0?index2!==tailExitIndex&&events[index2][1].type!=="lineEnding"&&(enter=index2):(index2===tailExitIndex||events[index2][1].type==="lineEnding")&&(events[enter][1].type="mathTextData",index2!==enter+2&&(events[enter][1].end=events[index2-1][1].end,events.splice(enter+2,index2-enter-2),tailExitIndex-=index2-enter-
+2,index2=enter+2),enter=void 0);return events}function previous(code2){return code2!==36||this.events[this.events.length-1][1].type==="characterEscape"}function math$1(options){return{flow:{36:mathFlow},text:{36:mathText(options)}}}class SourceLocation{constructor(lexer,start2,end){this.lexer=void 0,this.start=void 0,this.end=void 0,this.lexer=lexer,this.start=start2,this.end=end}static range(first,second){return second?!first||!first.loc||!second.loc||first.loc.lexer!==second.loc.lexer?null:new SourceLocation(
+first.loc.lexer,first.loc.start,second.loc.end):first&&first.loc}}class Token{constructor(text2,loc){this.text=void 0,this.loc=void 0,this.noexpand=void 0,this.treatAsRelax=void 0,this.text=text2,this.loc=loc}range(endToken,text2){return new Token(text2,SourceLocation.range(this,endToken))}}class ParseError2{constructor(message,token2){this.name=void 0,this.position=void 0,this.length=void 0,this.rawMessage=void 0;var error2="KaTeX parse error: "+message,start2,end,loc=token2&&token2.loc;if(loc&&
+loc.start<=loc.end){var input=loc.lexer.input;start2=loc.start,end=loc.end,start2===input.length?error2+=" at end of input: ":error2+=" at position "+(start2+1)+": ";var underlined=input.slice(start2,end).replace(/[^]/g,"$&̲"),left;start2>15?left="…"+input.slice(start2-15,start2):left=input.slice(0,start2);var right;end+15<input.length?right=input.slice(end,end+15)+"…":right=input.slice(end),error2+=left+underlined+right}var self2=new Error(error2);return self2.name="ParseError",self2.__proto__=
+ParseError2.prototype,self2.position=start2,start2!=null&&end!=null&&(self2.length=end-start2),self2.rawMessage=message,self2}}ParseError2.prototype.__proto__=Error.prototype;var contains=function(list2,elem){return list2.indexOf(elem)!==-1},deflt=function(setting,defaultIfUndefined){return setting===void 0?defaultIfUndefined:setting},uppercase=/([A-Z])/g,hyphenate=function(str){return str.replace(uppercase,"-$1").toLowerCase()},ESCAPE_LOOKUP={"&":"&amp;",">":"&gt;","<":"&lt;",'"':"&quot;","'":"\
+&#x27;"},ESCAPE_REGEX=/[&><"']/g;function escape$2(text2){return String(text2).replace(ESCAPE_REGEX,match=>ESCAPE_LOOKUP[match])}var getBaseElem=function getBaseElem2(group){return group.type==="ordgroup"||group.type==="color"?group.body.length===1?getBaseElem2(group.body[0]):group:group.type==="font"?getBaseElem2(group.body):group},isCharacterBox=function(group){var baseElem=getBaseElem(group);return baseElem.type==="mathord"||baseElem.type==="textord"||baseElem.type==="atom"},assert=function(value){
+if(!value)throw new Error("Expected non-null, but got "+String(value));return value},protocolFromUrl=function(url2){var protocol=/^[\x00-\x20]*([^\\/#?]*?)(:|&#0*58|&#x0*3a|&colon)/i.exec(url2);return protocol?protocol[2]!==":"||!/^[a-zA-Z][a-zA-Z0-9+\-.]*$/.test(protocol[1])?null:protocol[1].toLowerCase():"_relative"},utils={contains,deflt,escape:escape$2,hyphenate,getBaseElem,isCharacterBox,protocolFromUrl},SETTINGS_SCHEMA={displayMode:{type:"boolean",description:"Render math in display mode, \
+which puts the math in display style (so \\int and \\sum are large, for example), and centers the math on the page on its own line.",cli:"-d, --display-mode"},output:{type:{enum:["htmlAndMathml","html","mathml"]},description:"Determines the markup language of the output.",cli:"-F, --format <type>"},leqno:{type:"boolean",description:"Render display math in leqno style (left-justified tags)."},fleqn:{type:"boolean",description:"Render display math flush left."},throwOnError:{type:"boolean",default:!0,
+cli:"-t, --no-throw-on-error",cliDescription:"Render errors (in the color given by --error-color) instead of throwing a ParseError exception when encountering an error."},errorColor:{type:"string",default:"#cc0000",cli:"-c, --error-color <color>",cliDescription:"A color string given in the format 'rgb' or 'rrggbb' (no #). This option determines the color of errors rendered by the -t option.",cliProcessor:color=>"#"+color},macros:{type:"object",cli:"-m, --macro <def>",cliDescription:"Define custo\
+m macro of the form '\\foo:expansion' (use multiple -m arguments for multiple macros).",cliDefault:[],cliProcessor:(def,defs)=>(defs.push(def),defs)},minRuleThickness:{type:"number",description:"Specifies a minimum thickness, in ems, for fraction lines, `\\sqrt` top lines, `{array}` vertical lines, `\\hline`, `\\hdashline`, `\\underline`, `\\overline`, and the borders of `\\fbox`, `\\boxed`, and `\\fcolorbox`.",processor:t=>Math.max(0,t),cli:"--min-rule-thickness <size>",cliProcessor:parseFloat},
+colorIsTextColor:{type:"boolean",description:"Makes \\color behave like LaTeX's 2-argument \\textcolor, instead of LaTeX's one-argument \\color mode change.",cli:"-b, --color-is-text-color"},strict:{type:[{enum:["warn","ignore","error"]},"boolean","function"],description:"Turn on strict / LaTeX faithfulness mode, which throws an error if the input uses features that are not supported by LaTeX.",cli:"-S, --strict",cliDefault:!1},trust:{type:["boolean","function"],description:"Trust the input, ena\
+bling all HTML features such as \\url.",cli:"-T, --trust"},maxSize:{type:"number",default:1/0,description:"If non-zero, all user-specified sizes, e.g. in \\rule{500em}{500em}, will be capped to maxSize ems. Otherwise, elements and spaces can be arbitrarily large",processor:s2=>Math.max(0,s2),cli:"-s, --max-size <n>",cliProcessor:parseInt},maxExpand:{type:"number",default:1e3,description:"Limit the number of macro expansions to the specified number, to prevent e.g. infinite macro loops. If set to\
+ Infinity, the macro expander will try to fully expand as in LaTeX.",processor:n=>Math.max(0,n),cli:"-e, --max-expand <n>",cliProcessor:n=>n==="Infinity"?1/0:parseInt(n)},globalGroup:{type:"boolean",cli:!1}};function getDefaultValue(schema){if(schema.default)return schema.default;var type2=schema.type,defaultType=Array.isArray(type2)?type2[0]:type2;if(typeof defaultType!="string")return defaultType.enum[0];switch(defaultType){case"boolean":return!1;case"string":return"";case"number":return 0;case"\
+object":return{}}}class Settings{constructor(options){this.displayMode=void 0,this.output=void 0,this.leqno=void 0,this.fleqn=void 0,this.throwOnError=void 0,this.errorColor=void 0,this.macros=void 0,this.minRuleThickness=void 0,this.colorIsTextColor=void 0,this.strict=void 0,this.trust=void 0,this.maxSize=void 0,this.maxExpand=void 0,this.globalGroup=void 0,options=options||{};for(var prop2 in SETTINGS_SCHEMA)if(SETTINGS_SCHEMA.hasOwnProperty(prop2)){var schema=SETTINGS_SCHEMA[prop2];this[prop2]=
+options[prop2]!==void 0?schema.processor?schema.processor(options[prop2]):options[prop2]:getDefaultValue(schema)}}reportNonstrict(errorCode,errorMsg,token2){var strict=this.strict;if(typeof strict=="function"&&(strict=strict(errorCode,errorMsg,token2)),!(!strict||strict==="ignore")){if(strict===!0||strict==="error")throw new ParseError2("LaTeX-incompatible input and strict mode is set to 'error': "+(errorMsg+" ["+errorCode+"]"),token2);strict==="warn"?typeof console<"u"&&console.warn("LaTeX-inco\
+mpatible input and strict mode is set to 'warn': "+(errorMsg+" ["+errorCode+"]")):typeof console<"u"&&console.warn("LaTeX-incompatible input and strict mode is set to "+("unrecognized '"+strict+"': "+errorMsg+" ["+errorCode+"]"))}}useStrictBehavior(errorCode,errorMsg,token2){var strict=this.strict;if(typeof strict=="function")try{strict=strict(errorCode,errorMsg,token2)}catch{strict="error"}return!strict||strict==="ignore"?!1:strict===!0||strict==="error"?!0:strict==="warn"?(typeof console<"u"&&
+console.warn("LaTeX-incompatible input and strict mode is set to 'warn': "+(errorMsg+" ["+errorCode+"]")),!1):(typeof console<"u"&&console.warn("LaTeX-incompatible input and strict mode is set to "+("unrecognized '"+strict+"': "+errorMsg+" ["+errorCode+"]")),!1)}isTrusted(context){if(context.url&&!context.protocol){var protocol=utils.protocolFromUrl(context.url);if(protocol==null)return!1;context.protocol=protocol}var trust=typeof this.trust=="function"?this.trust(context):this.trust;return!!trust}}
+class Style{constructor(id2,size2,cramped){this.id=void 0,this.size=void 0,this.cramped=void 0,this.id=id2,this.size=size2,this.cramped=cramped}sup(){return styles[sup[this.id]]}sub(){return styles[sub[this.id]]}fracNum(){return styles[fracNum[this.id]]}fracDen(){return styles[fracDen[this.id]]}cramp(){return styles[cramp[this.id]]}text(){return styles[text$1$1[this.id]]}isTight(){return this.size>=2}}var D=0,Dc=1,T=2,Tc=3,S=4,Sc=5,SS=6,SSc=7,styles=[new Style(D,0,!1),new Style(Dc,0,!0),new Style(
+T,1,!1),new Style(Tc,1,!0),new Style(S,2,!1),new Style(Sc,2,!0),new Style(SS,3,!1),new Style(SSc,3,!0)],sup=[S,Sc,S,Sc,SS,SSc,SS,SSc],sub=[Sc,Sc,Sc,Sc,SSc,SSc,SSc,SSc],fracNum=[T,Tc,S,Sc,SS,SSc,SS,SSc],fracDen=[Tc,Tc,Sc,Sc,SSc,SSc,SSc,SSc],cramp=[Dc,Dc,Tc,Tc,Sc,Sc,SSc,SSc],text$1$1=[D,Dc,T,Tc,T,Tc,T,Tc],Style$1={DISPLAY:styles[D],TEXT:styles[T],SCRIPT:styles[S],SCRIPTSCRIPT:styles[SS]},scriptData=[{name:"latin",blocks:[[256,591],[768,879]]},{name:"cyrillic",blocks:[[1024,1279]]},{name:"armenian",
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+defineSymbol(math,main,rel,"⊆","\\subseteq",!0);defineSymbol(math,main,rel,"⊇","\\supseteq",!0);defineSymbol(math,ams,rel,"⊈","\\nsubseteq",!0);defineSymbol(math,ams,rel,"⊉","\\nsupseteq",!0);defineSymbol(math,main,rel,"⊨","\\models");defineSymbol(math,main,rel,"←","\\leftarrow",!0);defineSymbol(math,main,rel,"≤","\\le");defineSymbol(math,main,rel,"≤","\\leq",!0);defineSymbol(math,main,rel,"<","\\lt",!0);defineSymbol(math,main,rel,"→","\\rightarrow",!0);defineSymbol(math,main,rel,
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+!0);defineSymbol(math,ams,bin,"⊡","\\boxdot",!0);defineSymbol(math,main,bin,"△","\\bigtriangleup");defineSymbol(math,main,bin,"▽","\\bigtriangledown");defineSymbol(math,main,bin,"†","\\dagger");defineSymbol(math,main,bin,"⋄","\\diamond");defineSymbol(math,main,bin,"⋆","\\star");defineSymbol(math,main,bin,"◃","\\triangleleft");defineSymbol(math,main,bin,"▹","\\triangleright");defineSymbol(math,main,open,"{","\\{");defineSymbol(text$3,main,textord,"{","\\{");defineSymbol(text$3,main,
+textord,"{","\\textbraceleft");defineSymbol(math,main,close,"}","\\}");defineSymbol(text$3,main,textord,"}","\\}");defineSymbol(text$3,main,textord,"}","\\textbraceright");defineSymbol(math,main,open,"{","\\lbrace");defineSymbol(math,main,close,"}","\\rbrace");defineSymbol(math,main,open,"[","\\lbrack",!0);defineSymbol(text$3,main,textord,"[","\\lbrack",!0);defineSymbol(math,main,close,"]","\\rbrack",!0);defineSymbol(text$3,main,textord,"]","\\rbrack",!0);defineSymbol(math,main,open,"(","\\lparen",
+!0);defineSymbol(math,main,close,")","\\rparen",!0);defineSymbol(text$3,main,textord,"<","\\textless",!0);defineSymbol(text$3,main,textord,">","\\textgreater",!0);defineSymbol(math,main,open,"⌊","\\lfloor",!0);defineSymbol(math,main,close,"⌋","\\rfloor",!0);defineSymbol(math,main,open,"⌈","\\lceil",!0);defineSymbol(math,main,close,"⌉","\\rceil",!0);defineSymbol(math,main,textord,"\\","\\backslash");defineSymbol(math,main,textord,"∣","|");defineSymbol(math,main,textord,"∣","\\vert");defineSymbol(
+text$3,main,textord,"|","\\textbar",!0);defineSymbol(math,main,textord,"∥","\\|");defineSymbol(math,main,textord,"∥","\\Vert");defineSymbol(text$3,main,textord,"∥","\\textbardbl");defineSymbol(text$3,main,textord,"~","\\textasciitilde");defineSymbol(text$3,main,textord,"\\","\\textbackslash");defineSymbol(text$3,main,textord,"^","\\textasciicircum");defineSymbol(math,main,rel,"↑","\\uparrow",!0);defineSymbol(math,main,rel,"⇑","\\Uparrow",!0);defineSymbol(math,main,rel,"↓","\\downarrow",
+!0);defineSymbol(math,main,rel,"⇓","\\Downarrow",!0);defineSymbol(math,main,rel,"↕","\\updownarrow",!0);defineSymbol(math,main,rel,"⇕","\\Updownarrow",!0);defineSymbol(math,main,op,"∐","\\coprod");defineSymbol(math,main,op,"⋁","\\bigvee");defineSymbol(math,main,op,"⋀","\\bigwedge");defineSymbol(math,main,op,"⨄","\\biguplus");defineSymbol(math,main,op,"⋂","\\bigcap");defineSymbol(math,main,op,"⋃","\\bigcup");defineSymbol(math,main,op,"∫","\\int");defineSymbol(math,main,op,"∫",
+"\\intop");defineSymbol(math,main,op,"∬","\\iint");defineSymbol(math,main,op,"∭","\\iiint");defineSymbol(math,main,op,"∏","\\prod");defineSymbol(math,main,op,"∑","\\sum");defineSymbol(math,main,op,"⨂","\\bigotimes");defineSymbol(math,main,op,"⨁","\\bigoplus");defineSymbol(math,main,op,"⨀","\\bigodot");defineSymbol(math,main,op,"∮","\\oint");defineSymbol(math,main,op,"∯","\\oiint");defineSymbol(math,main,op,"∰","\\oiiint");defineSymbol(math,main,op,"⨆","\\bigsqcup");defineSymbol(
+math,main,op,"∫","\\smallint");defineSymbol(text$3,main,inner,"…","\\textellipsis");defineSymbol(math,main,inner,"…","\\mathellipsis");defineSymbol(text$3,main,inner,"…","\\ldots",!0);defineSymbol(math,main,inner,"…","\\ldots",!0);defineSymbol(math,main,inner,"⋯","\\@cdots",!0);defineSymbol(math,main,inner,"⋱","\\ddots",!0);defineSymbol(math,main,textord,"⋮","\\varvdots");defineSymbol(text$3,main,textord,"⋮","\\varvdots");defineSymbol(math,main,accent,"ˊ","\\acute");defineSymbol(
+math,main,accent,"ˋ","\\grave");defineSymbol(math,main,accent,"¨","\\ddot");defineSymbol(math,main,accent,"~","\\tilde");defineSymbol(math,main,accent,"ˉ","\\bar");defineSymbol(math,main,accent,"˘","\\breve");defineSymbol(math,main,accent,"ˇ","\\check");defineSymbol(math,main,accent,"^","\\hat");defineSymbol(math,main,accent,"⃗","\\vec");defineSymbol(math,main,accent,"˙","\\dot");defineSymbol(math,main,accent,"˚","\\mathring");defineSymbol(math,main,mathord,"","\\@imath");defineSymbol(
+math,main,mathord,"","\\@jmath");defineSymbol(math,main,textord,"ı","ı");defineSymbol(math,main,textord,"ȷ","ȷ");defineSymbol(text$3,main,textord,"ı","\\i",!0);defineSymbol(text$3,main,textord,"ȷ","\\j",!0);defineSymbol(text$3,main,textord,"ß","\\ss",!0);defineSymbol(text$3,main,textord,"æ","\\ae",!0);defineSymbol(text$3,main,textord,"œ","\\oe",!0);defineSymbol(text$3,main,textord,"ø","\\o",!0);defineSymbol(text$3,main,textord,"Æ","\\AE",!0);defineSymbol(text$3,main,textord,"Œ","\\\
+OE",!0);defineSymbol(text$3,main,textord,"Ø","\\O",!0);defineSymbol(text$3,main,accent,"ˊ","\\'");defineSymbol(text$3,main,accent,"ˋ","\\`");defineSymbol(text$3,main,accent,"ˆ","\\^");defineSymbol(text$3,main,accent,"˜","\\~");defineSymbol(text$3,main,accent,"ˉ","\\=");defineSymbol(text$3,main,accent,"˘","\\u");defineSymbol(text$3,main,accent,"˙","\\.");defineSymbol(text$3,main,accent,"¸","\\c");defineSymbol(text$3,main,accent,"˚","\\r");defineSymbol(text$3,main,accent,"ˇ","\\v");defineSymbol(
+text$3,main,accent,"¨",'\\"');defineSymbol(text$3,main,accent,"˝","\\H");defineSymbol(text$3,main,accent,"◯","\\textcircled");var ligatures={"--":!0,"---":!0,"``":!0,"''":!0};defineSymbol(text$3,main,textord,"–","--",!0);defineSymbol(text$3,main,textord,"–","\\textendash");defineSymbol(text$3,main,textord,"—","---",!0);defineSymbol(text$3,main,textord,"—","\\textemdash");defineSymbol(text$3,main,textord,"‘","`",!0);defineSymbol(text$3,main,textord,"‘","\\textquoteleft");defineSymbol(
+text$3,main,textord,"’","'",!0);defineSymbol(text$3,main,textord,"’","\\textquoteright");defineSymbol(text$3,main,textord,"“","``",!0);defineSymbol(text$3,main,textord,"“","\\textquotedblleft");defineSymbol(text$3,main,textord,"”","''",!0);defineSymbol(text$3,main,textord,"”","\\textquotedblright");defineSymbol(math,main,textord,"°","\\degree",!0);defineSymbol(text$3,main,textord,"°","\\degree");defineSymbol(text$3,main,textord,"°","\\textdegree",!0);defineSymbol(math,main,textord,
+"£","\\pounds");defineSymbol(math,main,textord,"£","\\mathsterling",!0);defineSymbol(text$3,main,textord,"£","\\pounds");defineSymbol(text$3,main,textord,"£","\\textsterling",!0);defineSymbol(math,ams,textord,"✠","\\maltese");defineSymbol(text$3,ams,textord,"✠","\\maltese");var mathTextSymbols='0123456789/@."';for(var i=0;i<mathTextSymbols.length;i++){var ch=mathTextSymbols.charAt(i);defineSymbol(math,main,textord,ch,ch)}var textSymbols='0123456789!@*()-=+";:?/.,';for(var _i=0;_i<textSymbols.
+length;_i++){var _ch=textSymbols.charAt(_i);defineSymbol(text$3,main,textord,_ch,_ch)}var letters="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";for(var _i2=0;_i2<letters.length;_i2++){var _ch2=letters.charAt(_i2);defineSymbol(math,main,mathord,_ch2,_ch2),defineSymbol(text$3,main,textord,_ch2,_ch2)}defineSymbol(math,ams,textord,"C","ℂ");defineSymbol(text$3,ams,textord,"C","ℂ");defineSymbol(math,ams,textord,"H","ℍ");defineSymbol(text$3,ams,textord,"H","ℍ");defineSymbol(math,ams,textord,
+"N","ℕ");defineSymbol(text$3,ams,textord,"N","ℕ");defineSymbol(math,ams,textord,"P","ℙ");defineSymbol(text$3,ams,textord,"P","ℙ");defineSymbol(math,ams,textord,"Q","ℚ");defineSymbol(text$3,ams,textord,"Q","ℚ");defineSymbol(math,ams,textord,"R","ℝ");defineSymbol(text$3,ams,textord,"R","ℝ");defineSymbol(math,ams,textord,"Z","ℤ");defineSymbol(text$3,ams,textord,"Z","ℤ");defineSymbol(math,main,mathord,"h","ℎ");defineSymbol(text$3,main,mathord,"h","ℎ");var wideChar="";for(var _i3=0;_i3<
+letters.length;_i3++){var _ch3=letters.charAt(_i3);wideChar=String.fromCharCode(55349,56320+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56372+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56424+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(
+55349,56580+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56684+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56736+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56788+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,
+main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56840+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56944+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),_i3<26&&(wideChar=String.fromCharCode(55349,56632+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56476+_i3),
+defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar))}wideChar="𝕜";defineSymbol(math,main,mathord,"k",wideChar);defineSymbol(text$3,main,textord,"k",wideChar);for(var _i4=0;_i4<10;_i4++){var _ch4=_i4.toString();wideChar=String.fromCharCode(55349,57294+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(text$3,main,textord,_ch4,wideChar),wideChar=String.fromCharCode(55349,57314+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(
+text$3,main,textord,_ch4,wideChar),wideChar=String.fromCharCode(55349,57324+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(text$3,main,textord,_ch4,wideChar),wideChar=String.fromCharCode(55349,57334+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(text$3,main,textord,_ch4,wideChar)}var extraLatin="ÐÞþ";for(var _i5=0;_i5<extraLatin.length;_i5++){var _ch5=extraLatin.charAt(_i5);defineSymbol(math,main,mathord,_ch5,_ch5),defineSymbol(text$3,main,textord,_ch5,_ch5)}
+var wideLatinLetterData=[["mathbf","textbf","Main-Bold"],["mathbf","textbf","Main-Bold"],["mathnormal","textit","Math-Italic"],["mathnormal","textit","Math-Italic"],["boldsymbol","boldsymbol","Main-BoldItalic"],["boldsymbol","boldsymbol","Main-BoldItalic"],["mathscr","textscr","Script-Regular"],["","",""],["","",""],["","",""],["mathfrak","textfrak","Fraktur-Regular"],["mathfrak","textfrak","Fraktur-Regular"],["mathbb","textbb","AMS-Regular"],["mathbb","textbb","AMS-Regular"],["mathboldfrak","te\
+xtboldfrak","Fraktur-Regular"],["mathboldfrak","textboldfrak","Fraktur-Regular"],["mathsf","textsf","SansSerif-Regular"],["mathsf","textsf","SansSerif-Regular"],["mathboldsf","textboldsf","SansSerif-Bold"],["mathboldsf","textboldsf","SansSerif-Bold"],["mathitsf","textitsf","SansSerif-Italic"],["mathitsf","textitsf","SansSerif-Italic"],["","",""],["","",""],["mathtt","texttt","Typewriter-Regular"],["mathtt","texttt","Typewriter-Regular"]],wideNumeralData=[["mathbf","textbf","Main-Bold"],["","",""],
+["mathsf","textsf","SansSerif-Regular"],["mathboldsf","textboldsf","SansSerif-Bold"],["mathtt","texttt","Typewriter-Regular"]],wideCharacterFont=function(wideChar2,mode){var H=wideChar2.charCodeAt(0),L=wideChar2.charCodeAt(1),codePoint=(H-55296)*1024+(L-56320)+65536,j=mode==="math"?0:1;if(119808<=codePoint&&codePoint<120484){var i=Math.floor((codePoint-119808)/26);return[wideLatinLetterData[i][2],wideLatinLetterData[i][j]]}else if(120782<=codePoint&&codePoint<=120831){var _i=Math.floor((codePoint-
+120782)/10);return[wideNumeralData[_i][2],wideNumeralData[_i][j]]}else{if(codePoint===120485||codePoint===120486)return[wideLatinLetterData[0][2],wideLatinLetterData[0][j]];if(120486<codePoint&&codePoint<120782)return["",""];throw new ParseError2("Unsupported character: "+wideChar2)}},lookupSymbol=function(value,fontName,mode){return symbols[mode][value]&&symbols[mode][value].replace&&(value=symbols[mode][value].replace),{value,metrics:getCharacterMetrics(value,fontName,mode)}},makeSymbol=function(value,fontName,mode,options,classes){
+var lookup=lookupSymbol(value,fontName,mode),metrics=lookup.metrics;value=lookup.value;var symbolNode;if(metrics){var italic=metrics.italic;(mode==="text"||options&&options.font==="mathit")&&(italic=0),symbolNode=new SymbolNode(value,metrics.height,metrics.depth,italic,metrics.skew,metrics.width,classes)}else typeof console<"u"&&console.warn("No character metrics "+("for '"+value+"' in style '"+fontName+"' and mode '"+mode+"'")),symbolNode=new SymbolNode(value,0,0,0,0,0,classes);if(options){symbolNode.
+maxFontSize=options.sizeMultiplier,options.style.isTight()&&symbolNode.classes.push("mtight");var color=options.getColor();color&&(symbolNode.style.color=color)}return symbolNode},mathsym=function(value,mode,options,classes){return classes===void 0&&(classes=[]),options.font==="boldsymbol"&&lookupSymbol(value,"Main-Bold",mode).metrics?makeSymbol(value,"Main-Bold",mode,options,classes.concat(["mathbf"])):value==="\\"||symbols[mode][value].font==="main"?makeSymbol(value,"Main-Regular",mode,options,
+classes):makeSymbol(value,"AMS-Regular",mode,options,classes.concat(["amsrm"]))},boldsymbol=function(value,mode,options,classes,type2){return type2!=="textord"&&lookupSymbol(value,"Math-BoldItalic",mode).metrics?{fontName:"Math-BoldItalic",fontClass:"boldsymbol"}:{fontName:"Main-Bold",fontClass:"mathbf"}},makeOrd=function(group,options,type2){var mode=group.mode,text2=group.text,classes=["mord"],isFont=mode==="math"||mode==="text"&&options.font,fontOrFamily=isFont?options.font:options.fontFamily,
+wideFontName="",wideFontClass="";if(text2.charCodeAt(0)===55349&&([wideFontName,wideFontClass]=wideCharacterFont(text2,mode)),wideFontName.length>0)return makeSymbol(text2,wideFontName,mode,options,classes.concat(wideFontClass));if(fontOrFamily){var fontName,fontClasses;if(fontOrFamily==="boldsymbol"){var fontData=boldsymbol(text2,mode,options,classes,type2);fontName=fontData.fontName,fontClasses=[fontData.fontClass]}else isFont?(fontName=fontMap[fontOrFamily].fontName,fontClasses=[fontOrFamily]):
+(fontName=retrieveTextFontName(fontOrFamily,options.fontWeight,options.fontShape),fontClasses=[fontOrFamily,options.fontWeight,options.fontShape]);if(lookupSymbol(text2,fontName,mode).metrics)return makeSymbol(text2,fontName,mode,options,classes.concat(fontClasses));if(ligatures.hasOwnProperty(text2)&&fontName.slice(0,10)==="Typewriter"){for(var parts=[],i=0;i<text2.length;i++)parts.push(makeSymbol(text2[i],fontName,mode,options,classes.concat(fontClasses)));return makeFragment(parts)}}if(type2===
+"mathord")return makeSymbol(text2,"Math-Italic",mode,options,classes.concat(["mathnormal"]));if(type2==="textord"){var font=symbols[mode][text2]&&symbols[mode][text2].font;if(font==="ams"){var _fontName=retrieveTextFontName("amsrm",options.fontWeight,options.fontShape);return makeSymbol(text2,_fontName,mode,options,classes.concat("amsrm",options.fontWeight,options.fontShape))}else if(font==="main"||!font){var _fontName2=retrieveTextFontName("textrm",options.fontWeight,options.fontShape);return makeSymbol(
+text2,_fontName2,mode,options,classes.concat(options.fontWeight,options.fontShape))}else{var _fontName3=retrieveTextFontName(font,options.fontWeight,options.fontShape);return makeSymbol(text2,_fontName3,mode,options,classes.concat(_fontName3,options.fontWeight,options.fontShape))}}else throw new Error("unexpected type: "+type2+" in makeOrd")},canCombine=(prev2,next2)=>{if(createClass(prev2.classes)!==createClass(next2.classes)||prev2.skew!==next2.skew||prev2.maxFontSize!==next2.maxFontSize)return!1;
+if(prev2.classes.length===1){var cls=prev2.classes[0];if(cls==="mbin"||cls==="mord")return!1}for(var style2 in prev2.style)if(prev2.style.hasOwnProperty(style2)&&prev2.style[style2]!==next2.style[style2])return!1;for(var _style in next2.style)if(next2.style.hasOwnProperty(_style)&&prev2.style[_style]!==next2.style[_style])return!1;return!0},tryCombineChars=chars=>{for(var i=0;i<chars.length-1;i++){var prev2=chars[i],next2=chars[i+1];prev2 instanceof SymbolNode&&next2 instanceof SymbolNode&&canCombine(
+prev2,next2)&&(prev2.text+=next2.text,prev2.height=Math.max(prev2.height,next2.height),prev2.depth=Math.max(prev2.depth,next2.depth),prev2.italic=next2.italic,chars.splice(i+1,1),i--)}return chars},sizeElementFromChildren=function(elem){for(var height=0,depth=0,maxFontSize=0,i=0;i<elem.children.length;i++){var child2=elem.children[i];child2.height>height&&(height=child2.height),child2.depth>depth&&(depth=child2.depth),child2.maxFontSize>maxFontSize&&(maxFontSize=child2.maxFontSize)}elem.height=height,
+elem.depth=depth,elem.maxFontSize=maxFontSize},makeSpan$2=function(classes,children,options,style2){var span=new Span(classes,children,options,style2);return sizeElementFromChildren(span),span},makeSvgSpan=(classes,children,options,style2)=>new Span(classes,children,options,style2),makeLineSpan=function(className,options,thickness){var line=makeSpan$2([className],[],options);return line.height=Math.max(thickness||options.fontMetrics().defaultRuleThickness,options.minRuleThickness),line.style.borderBottomWidth=
+makeEm(line.height),line.maxFontSize=1,line},makeAnchor=function(href,classes,children,options){var anchor=new Anchor(href,classes,children,options);return sizeElementFromChildren(anchor),anchor},makeFragment=function(children){var fragment=new DocumentFragment(children);return sizeElementFromChildren(fragment),fragment},wrapFragment=function(group,options){return group instanceof DocumentFragment?makeSpan$2([],[group],options):group},getVListChildrenAndDepth=function(params){if(params.positionType===
+"individualShift"){for(var oldChildren=params.children,children=[oldChildren[0]],_depth=-oldChildren[0].shift-oldChildren[0].elem.depth,currPos=_depth,i=1;i<oldChildren.length;i++){var diff2=-oldChildren[i].shift-currPos-oldChildren[i].elem.depth,size2=diff2-(oldChildren[i-1].elem.height+oldChildren[i-1].elem.depth);currPos=currPos+diff2,children.push({type:"kern",size:size2}),children.push(oldChildren[i])}return{children,depth:_depth}}var depth;if(params.positionType==="top"){for(var bottom=params.
+positionData,_i=0;_i<params.children.length;_i++){var child2=params.children[_i];bottom-=child2.type==="kern"?child2.size:child2.elem.height+child2.elem.depth}depth=bottom}else if(params.positionType==="bottom")depth=-params.positionData;else{var firstChild=params.children[0];if(firstChild.type!=="elem")throw new Error('First child must have type "elem".');if(params.positionType==="shift")depth=-firstChild.elem.depth-params.positionData;else if(params.positionType==="firstBaseline")depth=-firstChild.
+elem.depth;else throw new Error("Invalid positionType "+params.positionType+".")}return{children:params.children,depth}},makeVList=function(params,options){for(var{children,depth}=getVListChildrenAndDepth(params),pstrutSize=0,i=0;i<children.length;i++){var child2=children[i];if(child2.type==="elem"){var elem=child2.elem;pstrutSize=Math.max(pstrutSize,elem.maxFontSize,elem.height)}}pstrutSize+=2;var pstrut=makeSpan$2(["pstrut"],[]);pstrut.style.height=makeEm(pstrutSize);for(var realChildren=[],minPos=depth,
+maxPos=depth,currPos=depth,_i2=0;_i2<children.length;_i2++){var _child=children[_i2];if(_child.type==="kern")currPos+=_child.size;else{var _elem=_child.elem,classes=_child.wrapperClasses||[],style2=_child.wrapperStyle||{},childWrap=makeSpan$2(classes,[pstrut,_elem],void 0,style2);childWrap.style.top=makeEm(-pstrutSize-currPos-_elem.depth),_child.marginLeft&&(childWrap.style.marginLeft=_child.marginLeft),_child.marginRight&&(childWrap.style.marginRight=_child.marginRight),realChildren.push(childWrap),
+currPos+=_elem.height+_elem.depth}minPos=Math.min(minPos,currPos),maxPos=Math.max(maxPos,currPos)}var vlist=makeSpan$2(["vlist"],realChildren);vlist.style.height=makeEm(maxPos);var rows;if(minPos<0){var emptySpan=makeSpan$2([],[]),depthStrut=makeSpan$2(["vlist"],[emptySpan]);depthStrut.style.height=makeEm(-minPos);var topStrut=makeSpan$2(["vlist-s"],[new SymbolNode("​")]);rows=[makeSpan$2(["vlist-r"],[vlist,topStrut]),makeSpan$2(["vlist-r"],[depthStrut])]}else rows=[makeSpan$2(["vlist-r"],[vlist])];
+var vtable=makeSpan$2(["vlist-t"],rows);return rows.length===2&&vtable.classes.push("vlist-t2"),vtable.height=maxPos,vtable.depth=-minPos,vtable},makeGlue=(measurement,options)=>{var rule=makeSpan$2(["mspace"],[],options),size2=calculateSize(measurement,options);return rule.style.marginRight=makeEm(size2),rule},retrieveTextFontName=function(fontFamily,fontWeight,fontShape){var baseFontName="";switch(fontFamily){case"amsrm":baseFontName="AMS";break;case"textrm":baseFontName="Main";break;case"text\
+sf":baseFontName="SansSerif";break;case"texttt":baseFontName="Typewriter";break;default:baseFontName=fontFamily}var fontStylesName;return fontWeight==="textbf"&&fontShape==="textit"?fontStylesName="BoldItalic":fontWeight==="textbf"?fontStylesName="Bold":fontWeight==="textit"?fontStylesName="Italic":fontStylesName="Regular",baseFontName+"-"+fontStylesName},fontMap={mathbf:{variant:"bold",fontName:"Main-Bold"},mathrm:{variant:"normal",fontName:"Main-Regular"},textit:{variant:"italic",fontName:"Mai\
+n-Italic"},mathit:{variant:"italic",fontName:"Main-Italic"},mathnormal:{variant:"italic",fontName:"Math-Italic"},mathsfit:{variant:"sans-serif-italic",fontName:"SansSerif-Italic"},mathbb:{variant:"double-struck",fontName:"AMS-Regular"},mathcal:{variant:"script",fontName:"Caligraphic-Regular"},mathfrak:{variant:"fraktur",fontName:"Fraktur-Regular"},mathscr:{variant:"script",fontName:"Script-Regular"},mathsf:{variant:"sans-serif",fontName:"SansSerif-Regular"},mathtt:{variant:"monospace",fontName:"\
+Typewriter-Regular"}},svgData={vec:["vec",.471,.714],oiintSize1:["oiintSize1",.957,.499],oiintSize2:["oiintSize2",1.472,.659],oiiintSize1:["oiiintSize1",1.304,.499],oiiintSize2:["oiiintSize2",1.98,.659]},staticSvg=function(value,options){var[pathName,width,height]=svgData[value],path2=new PathNode(pathName),svgNode=new SvgNode([path2],{width:makeEm(width),height:makeEm(height),style:"width:"+makeEm(width),viewBox:"0 0 "+1e3*width+" "+1e3*height,preserveAspectRatio:"xMinYMin"}),span=makeSvgSpan([
+"overlay"],[svgNode],options);return span.height=height,span.style.height=makeEm(height),span.style.width=makeEm(width),span},buildCommon={fontMap,makeSymbol,mathsym,makeSpan:makeSpan$2,makeSvgSpan,makeLineSpan,makeAnchor,makeFragment,wrapFragment,makeVList,makeOrd,makeGlue,staticSvg,svgData,tryCombineChars},thinspace={number:3,unit:"mu"},mediumspace={number:4,unit:"mu"},thickspace={number:5,unit:"mu"},spacings={mord:{mop:thinspace,mbin:mediumspace,mrel:thickspace,minner:thinspace},mop:{mord:thinspace,
+mop:thinspace,mrel:thickspace,minner:thinspace},mbin:{mord:mediumspace,mop:mediumspace,mopen:mediumspace,minner:mediumspace},mrel:{mord:thickspace,mop:thickspace,mopen:thickspace,minner:thickspace},mopen:{},mclose:{mop:thinspace,mbin:mediumspace,mrel:thickspace,minner:thinspace},mpunct:{mord:thinspace,mop:thinspace,mrel:thickspace,mopen:thinspace,mclose:thinspace,mpunct:thinspace,minner:thinspace},minner:{mord:thinspace,mop:thinspace,mbin:mediumspace,mrel:thickspace,mopen:thinspace,mpunct:thinspace,
+minner:thinspace}},tightSpacings={mord:{mop:thinspace},mop:{mord:thinspace,mop:thinspace},mbin:{},mrel:{},mopen:{},mclose:{mop:thinspace},mpunct:{},minner:{mop:thinspace}},_functions={},_htmlGroupBuilders={},_mathmlGroupBuilders={};function defineFunction(_ref){for(var{type:type2,names:names2,props,handler,htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3}=_ref,data={type:type2,numArgs:props.numArgs,argTypes:props.argTypes,allowedInArgument:!!props.allowedInArgument,allowedInText:!!props.allowedInText,
+allowedInMath:props.allowedInMath===void 0?!0:props.allowedInMath,numOptionalArgs:props.numOptionalArgs||0,infix:!!props.infix,primitive:!!props.primitive,handler},i=0;i<names2.length;++i)_functions[names2[i]]=data;type2&&(htmlBuilder3&&(_htmlGroupBuilders[type2]=htmlBuilder3),mathmlBuilder3&&(_mathmlGroupBuilders[type2]=mathmlBuilder3))}function defineFunctionBuilders(_ref2){var{type:type2,htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3}=_ref2;defineFunction({type:type2,names:[],props:{numArgs:0},
+handler(){throw new Error("Should never be called.")},htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3})}var normalizeArgument=function(arg){return arg.type==="ordgroup"&&arg.body.length===1?arg.body[0]:arg},ordargument=function(arg){return arg.type==="ordgroup"?arg.body:[arg]},makeSpan$1=buildCommon.makeSpan,binLeftCanceller=["leftmost","mbin","mopen","mrel","mop","mpunct"],binRightCanceller=["rightmost","mrel","mclose","mpunct"],styleMap$1={display:Style$1.DISPLAY,text:Style$1.TEXT,script:Style$1.
+SCRIPT,scriptscript:Style$1.SCRIPTSCRIPT},DomEnum={mord:"mord",mop:"mop",mbin:"mbin",mrel:"mrel",mopen:"mopen",mclose:"mclose",mpunct:"mpunct",minner:"minner"},buildExpression$1=function(expression,options,isRealGroup,surrounding){surrounding===void 0&&(surrounding=[null,null]);for(var groups=[],i=0;i<expression.length;i++){var output=buildGroup$1(expression[i],options);if(output instanceof DocumentFragment){var children=output.children;groups.push(...children)}else groups.push(output)}if(buildCommon.
+tryCombineChars(groups),!isRealGroup)return groups;var glueOptions=options;if(expression.length===1){var node2=expression[0];node2.type==="sizing"?glueOptions=options.havingSize(node2.size):node2.type==="styling"&&(glueOptions=options.havingStyle(styleMap$1[node2.style]))}var dummyPrev=makeSpan$1([surrounding[0]||"leftmost"],[],options),dummyNext=makeSpan$1([surrounding[1]||"rightmost"],[],options),isRoot=isRealGroup==="root";return traverseNonSpaceNodes(groups,(node3,prev2)=>{var prevType=prev2.
+classes[0],type2=node3.classes[0];prevType==="mbin"&&utils.contains(binRightCanceller,type2)?prev2.classes[0]="mord":type2==="mbin"&&utils.contains(binLeftCanceller,prevType)&&(node3.classes[0]="mord")},{node:dummyPrev},dummyNext,isRoot),traverseNonSpaceNodes(groups,(node3,prev2)=>{var prevType=getTypeOfDomTree(prev2),type2=getTypeOfDomTree(node3),space2=prevType&&type2?node3.hasClass("mtight")?tightSpacings[prevType][type2]:spacings[prevType][type2]:null;if(space2)return buildCommon.makeGlue(space2,
+glueOptions)},{node:dummyPrev},dummyNext,isRoot),groups},traverseNonSpaceNodes=function traverseNonSpaceNodes2(nodes2,callback,prev2,next2,isRoot){next2&&nodes2.push(next2);for(var i=0;i<nodes2.length;i++){var node2=nodes2[i],partialGroup=checkPartialGroup(node2);if(partialGroup){traverseNonSpaceNodes2(partialGroup.children,callback,prev2,null,isRoot);continue}var nonspace=!node2.hasClass("mspace");if(nonspace){var result=callback(node2,prev2.node);result&&(prev2.insertAfter?prev2.insertAfter(result):
+(nodes2.unshift(result),i++))}nonspace?prev2.node=node2:isRoot&&node2.hasClass("newline")&&(prev2.node=makeSpan$1(["leftmost"])),prev2.insertAfter=(index2=>n=>{nodes2.splice(index2+1,0,n),i++})(i)}next2&&nodes2.pop()},checkPartialGroup=function(node2){return node2 instanceof DocumentFragment||node2 instanceof Anchor||node2 instanceof Span&&node2.hasClass("enclosing")?node2:null},getOutermostNode=function getOutermostNode2(node2,side){var partialGroup=checkPartialGroup(node2);if(partialGroup){var children=partialGroup.
+children;if(children.length){if(side==="right")return getOutermostNode2(children[children.length-1],"right");if(side==="left")return getOutermostNode2(children[0],"left")}}return node2},getTypeOfDomTree=function(node2,side){return node2?(side&&(node2=getOutermostNode(node2,side)),DomEnum[node2.classes[0]]||null):null},makeNullDelimiter=function(options,classes){var moreClasses=["nulldelimiter"].concat(options.baseSizingClasses());return makeSpan$1(classes.concat(moreClasses))},buildGroup$1=function(group,options,baseOptions){
+if(!group)return makeSpan$1();if(_htmlGroupBuilders[group.type]){var groupNode=_htmlGroupBuilders[group.type](group,options);if(baseOptions&&options.size!==baseOptions.size){groupNode=makeSpan$1(options.sizingClasses(baseOptions),[groupNode],options);var multiplier=options.sizeMultiplier/baseOptions.sizeMultiplier;groupNode.height*=multiplier,groupNode.depth*=multiplier}return groupNode}else throw new ParseError2("Got group of unknown type: '"+group.type+"'")};function buildHTMLUnbreakable(children,options){
+var body2=makeSpan$1(["base"],children,options),strut=makeSpan$1(["strut"]);return strut.style.height=makeEm(body2.height+body2.depth),body2.depth&&(strut.style.verticalAlign=makeEm(-body2.depth)),body2.children.unshift(strut),body2}function buildHTML(tree,options){var tag=null;tree.length===1&&tree[0].type==="tag"&&(tag=tree[0].tag,tree=tree[0].body);var expression=buildExpression$1(tree,options,"root"),eqnNum;expression.length===2&&expression[1].hasClass("tag")&&(eqnNum=expression.pop());for(var children=[],
+parts=[],i=0;i<expression.length;i++)if(parts.push(expression[i]),expression[i].hasClass("mbin")||expression[i].hasClass("mrel")||expression[i].hasClass("allowbreak")){for(var nobreak=!1;i<expression.length-1&&expression[i+1].hasClass("mspace")&&!expression[i+1].hasClass("newline");)i++,parts.push(expression[i]),expression[i].hasClass("nobreak")&&(nobreak=!0);nobreak||(children.push(buildHTMLUnbreakable(parts,options)),parts=[])}else expression[i].hasClass("newline")&&(parts.pop(),parts.length>0&&
+(children.push(buildHTMLUnbreakable(parts,options)),parts=[]),children.push(expression[i]));parts.length>0&&children.push(buildHTMLUnbreakable(parts,options));var tagChild;tag?(tagChild=buildHTMLUnbreakable(buildExpression$1(tag,options,!0)),tagChild.classes=["tag"],children.push(tagChild)):eqnNum&&children.push(eqnNum);var htmlNode=makeSpan$1(["katex-html"],children);if(htmlNode.setAttribute("aria-hidden","true"),tagChild){var strut=tagChild.children[0];strut.style.height=makeEm(htmlNode.height+
+htmlNode.depth),htmlNode.depth&&(strut.style.verticalAlign=makeEm(-htmlNode.depth))}return htmlNode}function newDocumentFragment(children){return new DocumentFragment(children)}class MathNode{constructor(type2,children,classes){this.type=void 0,this.attributes=void 0,this.children=void 0,this.classes=void 0,this.type=type2,this.attributes={},this.children=children||[],this.classes=classes||[]}setAttribute(name,value){this.attributes[name]=value}getAttribute(name){return this.attributes[name]}toNode(){
+var node2=document.createElementNS("http://www.w3.org/1998/Math/MathML",this.type);for(var attr in this.attributes)Object.prototype.hasOwnProperty.call(this.attributes,attr)&&node2.setAttribute(attr,this.attributes[attr]);this.classes.length>0&&(node2.className=createClass(this.classes));for(var i=0;i<this.children.length;i++)if(this.children[i]instanceof TextNode&&this.children[i+1]instanceof TextNode){for(var text2=this.children[i].toText()+this.children[++i].toText();this.children[i+1]instanceof
+TextNode;)text2+=this.children[++i].toText();node2.appendChild(new TextNode(text2).toNode())}else node2.appendChild(this.children[i].toNode());return node2}toMarkup(){var markup="<"+this.type;for(var attr in this.attributes)Object.prototype.hasOwnProperty.call(this.attributes,attr)&&(markup+=" "+attr+'="',markup+=utils.escape(this.attributes[attr]),markup+='"');this.classes.length>0&&(markup+=' class ="'+utils.escape(createClass(this.classes))+'"'),markup+=">";for(var i=0;i<this.children.length;i++)
+markup+=this.children[i].toMarkup();return markup+="</"+this.type+">",markup}toText(){return this.children.map(child2=>child2.toText()).join("")}}class TextNode{constructor(text2){this.text=void 0,this.text=text2}toNode(){return document.createTextNode(this.text)}toMarkup(){return utils.escape(this.toText())}toText(){return this.text}}class SpaceNode{constructor(width){this.width=void 0,this.character=void 0,this.width=width,width>=.05555&&width<=.05556?this.character=" ":width>=.1666&&width<=
+.1667?this.character=" ":width>=.2222&&width<=.2223?this.character=" ":width>=.2777&&width<=.2778?this.character="  ":width>=-.05556&&width<=-.05555?this.character=" ⁣":width>=-.1667&&width<=-.1666?this.character=" ⁣":width>=-.2223&&width<=-.2222?this.character=" ⁣":width>=-.2778&&width<=-.2777?this.character=" ⁣":this.character=null}toNode(){if(this.character)return document.createTextNode(this.character);var node2=document.createElementNS("http://www.w3.org/1998/Math/Ma\
+thML","mspace");return node2.setAttribute("width",makeEm(this.width)),node2}toMarkup(){return this.character?"<mtext>"+this.character+"</mtext>":'<mspace width="'+makeEm(this.width)+'"/>'}toText(){return this.character?this.character:" "}}var mathMLTree={MathNode,TextNode,SpaceNode,newDocumentFragment},makeText=function(text2,mode,options){return symbols[mode][text2]&&symbols[mode][text2].replace&&text2.charCodeAt(0)!==55349&&!(ligatures.hasOwnProperty(text2)&&options&&(options.fontFamily&&options.
+fontFamily.slice(4,6)==="tt"||options.font&&options.font.slice(4,6)==="tt"))&&(text2=symbols[mode][text2].replace),new mathMLTree.TextNode(text2)},makeRow=function(body2){return body2.length===1?body2[0]:new mathMLTree.MathNode("mrow",body2)},getVariant=function(group,options){if(options.fontFamily==="texttt")return"monospace";if(options.fontFamily==="textsf")return options.fontShape==="textit"&&options.fontWeight==="textbf"?"sans-serif-bold-italic":options.fontShape==="textit"?"sans-serif-itali\
+c":options.fontWeight==="textbf"?"bold-sans-serif":"sans-serif";if(options.fontShape==="textit"&&options.fontWeight==="textbf")return"bold-italic";if(options.fontShape==="textit")return"italic";if(options.fontWeight==="textbf")return"bold";var font=options.font;if(!font||font==="mathnormal")return null;var mode=group.mode;if(font==="mathit")return"italic";if(font==="boldsymbol")return group.type==="textord"?"bold":"bold-italic";if(font==="mathbf")return"bold";if(font==="mathbb")return"double-str\
+uck";if(font==="mathsfit")return"sans-serif-italic";if(font==="mathfrak")return"fraktur";if(font==="mathscr"||font==="mathcal")return"script";if(font==="mathsf")return"sans-serif";if(font==="mathtt")return"monospace";var text2=group.text;if(utils.contains(["\\imath","\\jmath"],text2))return null;symbols[mode][text2]&&symbols[mode][text2].replace&&(text2=symbols[mode][text2].replace);var fontName=buildCommon.fontMap[font].fontName;return getCharacterMetrics(text2,fontName,mode)?buildCommon.fontMap[font].
+variant:null};function isNumberPunctuation(group){if(!group)return!1;if(group.type==="mi"&&group.children.length===1){var child2=group.children[0];return child2 instanceof TextNode&&child2.text==="."}else if(group.type==="mo"&&group.children.length===1&&group.getAttribute("separator")==="true"&&group.getAttribute("lspace")==="0em"&&group.getAttribute("rspace")==="0em"){var _child=group.children[0];return _child instanceof TextNode&&_child.text===","}else return!1}var buildExpression2=function(expression,options,isOrdgroup){
+if(expression.length===1){var group=buildGroup2(expression[0],options);return isOrdgroup&&group instanceof MathNode&&group.type==="mo"&&(group.setAttribute("lspace","0em"),group.setAttribute("rspace","0em")),[group]}for(var groups=[],lastGroup,i=0;i<expression.length;i++){var _group=buildGroup2(expression[i],options);if(_group instanceof MathNode&&lastGroup instanceof MathNode){if(_group.type==="mtext"&&lastGroup.type==="mtext"&&_group.getAttribute("mathvariant")===lastGroup.getAttribute("mathva\
+riant")){lastGroup.children.push(..._group.children);continue}else if(_group.type==="mn"&&lastGroup.type==="mn"){lastGroup.children.push(..._group.children);continue}else if(isNumberPunctuation(_group)&&lastGroup.type==="mn"){lastGroup.children.push(..._group.children);continue}else if(_group.type==="mn"&&isNumberPunctuation(lastGroup))_group.children=[...lastGroup.children,..._group.children],groups.pop();else if((_group.type==="msup"||_group.type==="msub")&&_group.children.length>=1&&(lastGroup.
+type==="mn"||isNumberPunctuation(lastGroup))){var base2=_group.children[0];base2 instanceof MathNode&&base2.type==="mn"&&(base2.children=[...lastGroup.children,...base2.children],groups.pop())}else if(lastGroup.type==="mi"&&lastGroup.children.length===1){var lastChild=lastGroup.children[0];if(lastChild instanceof TextNode&&lastChild.text==="̸"&&(_group.type==="mo"||_group.type==="mi"||_group.type==="mn")){var child2=_group.children[0];child2 instanceof TextNode&&child2.text.length>0&&(child2.text=
+child2.text.slice(0,1)+"̸"+child2.text.slice(1),groups.pop())}}}groups.push(_group),lastGroup=_group}return groups},buildExpressionRow=function(expression,options,isOrdgroup){return makeRow(buildExpression2(expression,options,isOrdgroup))},buildGroup2=function(group,options){if(!group)return new mathMLTree.MathNode("mrow");if(_mathmlGroupBuilders[group.type]){var result=_mathmlGroupBuilders[group.type](group,options);return result}else throw new ParseError2("Got group of unknown type: '"+group.
+type+"'")};function buildMathML(tree,texExpression,options,isDisplayMode,forMathmlOnly){var expression=buildExpression2(tree,options),wrapper;expression.length===1&&expression[0]instanceof MathNode&&utils.contains(["mrow","mtable"],expression[0].type)?wrapper=expression[0]:wrapper=new mathMLTree.MathNode("mrow",expression);var annotation=new mathMLTree.MathNode("annotation",[new mathMLTree.TextNode(texExpression)]);annotation.setAttribute("encoding","application/x-tex");var semantics=new mathMLTree.
+MathNode("semantics",[wrapper,annotation]),math2=new mathMLTree.MathNode("math",[semantics]);math2.setAttribute("xmlns","http://www.w3.org/1998/Math/MathML"),isDisplayMode&&math2.setAttribute("display","block");var wrapperClass=forMathmlOnly?"katex":"katex-mathml";return buildCommon.makeSpan([wrapperClass],[math2])}var optionsFromSettings=function(settings){return new Options({style:settings.displayMode?Style$1.DISPLAY:Style$1.TEXT,maxSize:settings.maxSize,minRuleThickness:settings.minRuleThickness})},
+displayWrap=function(node2,settings){if(settings.displayMode){var classes=["katex-display"];settings.leqno&&classes.push("leqno"),settings.fleqn&&classes.push("fleqn"),node2=buildCommon.makeSpan(classes,[node2])}return node2},buildTree=function(tree,expression,settings){var options=optionsFromSettings(settings),katexNode;if(settings.output==="mathml")return buildMathML(tree,expression,options,settings.displayMode,!0);if(settings.output==="html"){var htmlNode=buildHTML(tree,options);katexNode=buildCommon.
+makeSpan(["katex"],[htmlNode])}else{var mathMLNode=buildMathML(tree,expression,options,settings.displayMode,!1),_htmlNode=buildHTML(tree,options);katexNode=buildCommon.makeSpan(["katex"],[mathMLNode,_htmlNode])}return displayWrap(katexNode,settings)},buildHTMLTree=function(tree,expression,settings){var options=optionsFromSettings(settings),htmlNode=buildHTML(tree,options),katexNode=buildCommon.makeSpan(["katex"],[htmlNode]);return displayWrap(katexNode,settings)},stretchyCodePoint={widehat:"^",widecheck:"\
+ˇ",widetilde:"~",utilde:"~",overleftarrow:"←",underleftarrow:"←",xleftarrow:"←",overrightarrow:"→",underrightarrow:"→",xrightarrow:"→",underbrace:"⏟",overbrace:"⏞",overgroup:"⏠",undergroup:"⏡",overleftrightarrow:"↔",underleftrightarrow:"↔",xleftrightarrow:"↔",Overrightarrow:"⇒",xRightarrow:"⇒",overleftharpoon:"↼",xleftharpoonup:"↼",overrightharpoon:"⇀",xrightharpoonup:"⇀",xLeftarrow:"⇐",xLeftrightarrow:"⇔",xhookleftarrow:"↩",xhookrightarrow:"↪",xmapsto:"\
+↦",xrightharpoondown:"⇁",xleftharpoondown:"↽",xrightleftharpoons:"⇌",xleftrightharpoons:"⇋",xtwoheadleftarrow:"↞",xtwoheadrightarrow:"↠",xlongequal:"=",xtofrom:"⇄",xrightleftarrows:"⇄",xrightequilibrium:"⇌",xleftequilibrium:"⇋","\\cdrightarrow":"→","\\cdleftarrow":"←","\\cdlongequal":"="},mathMLnode=function(label){var node2=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode(stretchyCodePoint[label.replace(/^\\/,"")])]);return node2.setAttribute("stretchy","true"),node2},
+katexImagesData={overrightarrow:[["rightarrow"],.888,522,"xMaxYMin"],overleftarrow:[["leftarrow"],.888,522,"xMinYMin"],underrightarrow:[["rightarrow"],.888,522,"xMaxYMin"],underleftarrow:[["leftarrow"],.888,522,"xMinYMin"],xrightarrow:[["rightarrow"],1.469,522,"xMaxYMin"],"\\cdrightarrow":[["rightarrow"],3,522,"xMaxYMin"],xleftarrow:[["leftarrow"],1.469,522,"xMinYMin"],"\\cdleftarrow":[["leftarrow"],3,522,"xMinYMin"],Overrightarrow:[["doublerightarrow"],.888,560,"xMaxYMin"],xRightarrow:[["double\
+rightarrow"],1.526,560,"xMaxYMin"],xLeftarrow:[["doubleleftarrow"],1.526,560,"xMinYMin"],overleftharpoon:[["leftharpoon"],.888,522,"xMinYMin"],xleftharpoonup:[["leftharpoon"],.888,522,"xMinYMin"],xleftharpoondown:[["leftharpoondown"],.888,522,"xMinYMin"],overrightharpoon:[["rightharpoon"],.888,522,"xMaxYMin"],xrightharpoonup:[["rightharpoon"],.888,522,"xMaxYMin"],xrightharpoondown:[["rightharpoondown"],.888,522,"xMaxYMin"],xlongequal:[["longequal"],.888,334,"xMinYMin"],"\\cdlongequal":[["longequ\
+al"],3,334,"xMinYMin"],xtwoheadleftarrow:[["twoheadleftarrow"],.888,334,"xMinYMin"],xtwoheadrightarrow:[["twoheadrightarrow"],.888,334,"xMaxYMin"],overleftrightarrow:[["leftarrow","rightarrow"],.888,522],overbrace:[["leftbrace","midbrace","rightbrace"],1.6,548],underbrace:[["leftbraceunder","midbraceunder","rightbraceunder"],1.6,548],underleftrightarrow:[["leftarrow","rightarrow"],.888,522],xleftrightarrow:[["leftarrow","rightarrow"],1.75,522],xLeftrightarrow:[["doubleleftarrow","doublerightarro\
+w"],1.75,560],xrightleftharpoons:[["leftharpoondownplus","rightharpoonplus"],1.75,716],xleftrightharpoons:[["leftharpoonplus","rightharpoondownplus"],1.75,716],xhookleftarrow:[["leftarrow","righthook"],1.08,522],xhookrightarrow:[["lefthook","rightarrow"],1.08,522],overlinesegment:[["leftlinesegment","rightlinesegment"],.888,522],underlinesegment:[["leftlinesegment","rightlinesegment"],.888,522],overgroup:[["leftgroup","rightgroup"],.888,342],undergroup:[["leftgroupunder","rightgroupunder"],.888,
+342],xmapsto:[["leftmapsto","rightarrow"],1.5,522],xtofrom:[["leftToFrom","rightToFrom"],1.75,528],xrightleftarrows:[["baraboveleftarrow","rightarrowabovebar"],1.75,901],xrightequilibrium:[["baraboveshortleftharpoon","rightharpoonaboveshortbar"],1.75,716],xleftequilibrium:[["shortbaraboveleftharpoon","shortrightharpoonabovebar"],1.75,716]},groupLength=function(arg){return arg.type==="ordgroup"?arg.body.length:1},svgSpan=function(group,options){function buildSvgSpan_(){var viewBoxWidth=4e5,label=group.
+label.slice(1);if(utils.contains(["widehat","widecheck","widetilde","utilde"],label)){var grp=group,numChars=groupLength(grp.base),viewBoxHeight,pathName,_height;if(numChars>5)label==="widehat"||label==="widecheck"?(viewBoxHeight=420,viewBoxWidth=2364,_height=.42,pathName=label+"4"):(viewBoxHeight=312,viewBoxWidth=2340,_height=.34,pathName="tilde4");else{var imgIndex=[1,1,2,2,3,3][numChars];label==="widehat"||label==="widecheck"?(viewBoxWidth=[0,1062,2364,2364,2364][imgIndex],viewBoxHeight=[0,239,
+300,360,420][imgIndex],_height=[0,.24,.3,.3,.36,.42][imgIndex],pathName=label+imgIndex):(viewBoxWidth=[0,600,1033,2339,2340][imgIndex],viewBoxHeight=[0,260,286,306,312][imgIndex],_height=[0,.26,.286,.3,.306,.34][imgIndex],pathName="tilde"+imgIndex)}var path2=new PathNode(pathName),svgNode=new SvgNode([path2],{width:"100%",height:makeEm(_height),viewBox:"0 0 "+viewBoxWidth+" "+viewBoxHeight,preserveAspectRatio:"none"});return{span:buildCommon.makeSvgSpan([],[svgNode],options),minWidth:0,height:_height}}else{
+var spans=[],data=katexImagesData[label],[paths,_minWidth,_viewBoxHeight]=data,_height2=_viewBoxHeight/1e3,numSvgChildren=paths.length,widthClasses,aligns;if(numSvgChildren===1){var align1=data[3];widthClasses=["hide-tail"],aligns=[align1]}else if(numSvgChildren===2)widthClasses=["halfarrow-left","halfarrow-right"],aligns=["xMinYMin","xMaxYMin"];else if(numSvgChildren===3)widthClasses=["brace-left","brace-center","brace-right"],aligns=["xMinYMin","xMidYMin","xMaxYMin"];else throw new Error(`Corr\
+ect katexImagesData or update code here to support
+                    `+numSvgChildren+" children.");for(var i=0;i<numSvgChildren;i++){var _path=new PathNode(paths[i]),_svgNode=new SvgNode([_path],{width:"400em",height:makeEm(_height2),viewBox:"0 0 "+viewBoxWidth+" "+_viewBoxHeight,preserveAspectRatio:aligns[i]+" slice"}),_span=buildCommon.makeSvgSpan([widthClasses[i]],[_svgNode],options);if(numSvgChildren===1)return{span:_span,minWidth:_minWidth,height:_height2};_span.style.height=makeEm(_height2),spans.push(_span)}return{span:buildCommon.makeSpan(
+["stretchy"],spans,options),minWidth:_minWidth,height:_height2}}}var{span,minWidth,height}=buildSvgSpan_();return span.height=height,span.style.height=makeEm(height),minWidth>0&&(span.style.minWidth=makeEm(minWidth)),span},encloseSpan=function(inner2,label,topPad,bottomPad,options){var img,totalHeight=inner2.height+inner2.depth+topPad+bottomPad;if(/fbox|color|angl/.test(label)){if(img=buildCommon.makeSpan(["stretchy",label],[],options),label==="fbox"){var color=options.color&&options.getColor();
+color&&(img.style.borderColor=color)}}else{var lines=[];/^[bx]cancel$/.test(label)&&lines.push(new LineNode({x1:"0",y1:"0",x2:"100%",y2:"100%","stroke-width":"0.046em"})),/^x?cancel$/.test(label)&&lines.push(new LineNode({x1:"0",y1:"100%",x2:"100%",y2:"0","stroke-width":"0.046em"}));var svgNode=new SvgNode(lines,{width:"100%",height:makeEm(totalHeight)});img=buildCommon.makeSvgSpan([],[svgNode],options)}return img.height=totalHeight,img.style.height=makeEm(totalHeight),img},stretchy={encloseSpan,
+mathMLnode,svgSpan};function assertNodeType(node2,type2){if(!node2||node2.type!==type2)throw new Error("Expected node of type "+type2+", but got "+(node2?"node of type "+node2.type:String(node2)));return node2}function assertSymbolNodeType(node2){var typedNode=checkSymbolNodeType(node2);if(!typedNode)throw new Error("Expected node of symbol group type, but got "+(node2?"node of type "+node2.type:String(node2)));return typedNode}function checkSymbolNodeType(node2){return node2&&(node2.type==="ato\
+m"||NON_ATOMS.hasOwnProperty(node2.type))?node2:null}var htmlBuilder$a=(grp,options)=>{var base2,group,supSubGroup;grp&&grp.type==="supsub"?(group=assertNodeType(grp.base,"accent"),base2=group.base,grp.base=base2,supSubGroup=assertSpan(buildGroup$1(grp,options)),grp.base=group):(group=assertNodeType(grp,"accent"),base2=group.base);var body2=buildGroup$1(base2,options.havingCrampedStyle()),mustShift=group.isShifty&&utils.isCharacterBox(base2),skew=0;if(mustShift){var baseChar=utils.getBaseElem(base2),
+baseGroup=buildGroup$1(baseChar,options.havingCrampedStyle());skew=assertSymbolDomNode(baseGroup).skew}var accentBelow=group.label==="\\c",clearance=accentBelow?body2.height+body2.depth:Math.min(body2.height,options.fontMetrics().xHeight),accentBody;if(group.isStretchy)accentBody=stretchy.svgSpan(group,options),accentBody=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:body2},{type:"elem",elem:accentBody,wrapperClasses:["svg-align"],wrapperStyle:skew>0?{width:"cal\
+c(100% - "+makeEm(2*skew)+")",marginLeft:makeEm(2*skew)}:void 0}]},options);else{var accent2,width;group.label==="\\vec"?(accent2=buildCommon.staticSvg("vec",options),width=buildCommon.svgData.vec[1]):(accent2=buildCommon.makeOrd({mode:group.mode,text:group.label},options,"textord"),accent2=assertSymbolDomNode(accent2),accent2.italic=0,width=accent2.width,accentBelow&&(clearance+=accent2.depth)),accentBody=buildCommon.makeSpan(["accent-body"],[accent2]);var accentFull=group.label==="\\textcircled";
+accentFull&&(accentBody.classes.push("accent-full"),clearance=body2.height);var left=skew;accentFull||(left-=width/2),accentBody.style.left=makeEm(left),group.label==="\\textcircled"&&(accentBody.style.top=".2em"),accentBody=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:body2},{type:"kern",size:-clearance},{type:"elem",elem:accentBody}]},options)}var accentWrap=buildCommon.makeSpan(["mord","accent"],[accentBody],options);return supSubGroup?(supSubGroup.children[0]=
+accentWrap,supSubGroup.height=Math.max(accentWrap.height,supSubGroup.height),supSubGroup.classes[0]="mord",supSubGroup):accentWrap},mathmlBuilder$9=(group,options)=>{var accentNode=group.isStretchy?stretchy.mathMLnode(group.label):new mathMLTree.MathNode("mo",[makeText(group.label,group.mode)]),node2=new mathMLTree.MathNode("mover",[buildGroup2(group.base,options),accentNode]);return node2.setAttribute("accent","true"),node2},NON_STRETCHY_ACCENT_REGEX=new RegExp(["\\acute","\\grave","\\ddot","\\t\
+ilde","\\bar","\\breve","\\check","\\hat","\\vec","\\dot","\\mathring"].map(accent2=>"\\"+accent2).join("|"));defineFunction({type:"accent",names:["\\acute","\\grave","\\ddot","\\tilde","\\bar","\\breve","\\check","\\hat","\\vec","\\dot","\\mathring","\\widecheck","\\widehat","\\widetilde","\\overrightarrow","\\overleftarrow","\\Overrightarrow","\\overleftrightarrow","\\overgroup","\\overlinesegment","\\overleftharpoon","\\overrightharpoon"],props:{numArgs:1},handler:(context,args)=>{var base2=normalizeArgument(
+args[0]),isStretchy=!NON_STRETCHY_ACCENT_REGEX.test(context.funcName),isShifty=!isStretchy||context.funcName==="\\widehat"||context.funcName==="\\widetilde"||context.funcName==="\\widecheck";return{type:"accent",mode:context.parser.mode,label:context.funcName,isStretchy,isShifty,base:base2}},htmlBuilder:htmlBuilder$a,mathmlBuilder:mathmlBuilder$9});defineFunction({type:"accent",names:["\\'","\\`","\\^","\\~","\\=","\\u","\\.",'\\"',"\\c","\\r","\\H","\\v","\\textcircled"],props:{numArgs:1,allowedInText:!0,
+allowedInMath:!0,argTypes:["primitive"]},handler:(context,args)=>{var base2=args[0],mode=context.parser.mode;return mode==="math"&&(context.parser.settings.reportNonstrict("mathVsTextAccents","LaTeX's accent "+context.funcName+" works only in text mode"),mode="text"),{type:"accent",mode,label:context.funcName,isStretchy:!1,isShifty:!0,base:base2}},htmlBuilder:htmlBuilder$a,mathmlBuilder:mathmlBuilder$9});defineFunction({type:"accentUnder",names:["\\underleftarrow","\\underrightarrow","\\underleft\
+rightarrow","\\undergroup","\\underlinesegment","\\utilde"],props:{numArgs:1},handler:(_ref,args)=>{var{parser,funcName}=_ref,base2=args[0];return{type:"accentUnder",mode:parser.mode,label:funcName,base:base2}},htmlBuilder:(group,options)=>{var innerGroup=buildGroup$1(group.base,options),accentBody=stretchy.svgSpan(group,options),kern=group.label==="\\utilde"?.12:0,vlist=buildCommon.makeVList({positionType:"top",positionData:innerGroup.height,children:[{type:"elem",elem:accentBody,wrapperClasses:[
+"svg-align"]},{type:"kern",size:kern},{type:"elem",elem:innerGroup}]},options);return buildCommon.makeSpan(["mord","accentunder"],[vlist],options)},mathmlBuilder:(group,options)=>{var accentNode=stretchy.mathMLnode(group.label),node2=new mathMLTree.MathNode("munder",[buildGroup2(group.base,options),accentNode]);return node2.setAttribute("accentunder","true"),node2}});var paddedNode=group=>{var node2=new mathMLTree.MathNode("mpadded",group?[group]:[]);return node2.setAttribute("width","+0.6em"),node2.
+setAttribute("lspace","0.3em"),node2};defineFunction({type:"xArrow",names:["\\xleftarrow","\\xrightarrow","\\xLeftarrow","\\xRightarrow","\\xleftrightarrow","\\xLeftrightarrow","\\xhookleftarrow","\\xhookrightarrow","\\xmapsto","\\xrightharpoondown","\\xrightharpoonup","\\xleftharpoondown","\\xleftharpoonup","\\xrightleftharpoons","\\xleftrightharpoons","\\xlongequal","\\xtwoheadrightarrow","\\xtwoheadleftarrow","\\xtofrom","\\xrightleftarrows","\\xrightequilibrium","\\xleftequilibrium","\\\\cdrig\
+htarrow","\\\\cdleftarrow","\\\\cdlongequal"],props:{numArgs:1,numOptionalArgs:1},handler(_ref,args,optArgs){var{parser,funcName}=_ref;return{type:"xArrow",mode:parser.mode,label:funcName,body:args[0],below:optArgs[0]}},htmlBuilder(group,options){var style2=options.style,newOptions=options.havingStyle(style2.sup()),upperGroup=buildCommon.wrapFragment(buildGroup$1(group.body,newOptions,options),options),arrowPrefix=group.label.slice(0,2)==="\\x"?"x":"cd";upperGroup.classes.push(arrowPrefix+"-arro\
+w-pad");var lowerGroup;group.below&&(newOptions=options.havingStyle(style2.sub()),lowerGroup=buildCommon.wrapFragment(buildGroup$1(group.below,newOptions,options),options),lowerGroup.classes.push(arrowPrefix+"-arrow-pad"));var arrowBody=stretchy.svgSpan(group,options),arrowShift=-options.fontMetrics().axisHeight+.5*arrowBody.height,upperShift=-options.fontMetrics().axisHeight-.5*arrowBody.height-.111;(upperGroup.depth>.25||group.label==="\\xleftequilibrium")&&(upperShift-=upperGroup.depth);var vlist;
+if(lowerGroup){var lowerShift=-options.fontMetrics().axisHeight+lowerGroup.height+.5*arrowBody.height+.111;vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:upperGroup,shift:upperShift},{type:"elem",elem:arrowBody,shift:arrowShift},{type:"elem",elem:lowerGroup,shift:lowerShift}]},options)}else vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:upperGroup,shift:upperShift},{type:"elem",elem:arrowBody,shift:arrowShift}]},options);
+return vlist.children[0].children[0].children[1].classes.push("svg-align"),buildCommon.makeSpan(["mrel","x-arrow"],[vlist],options)},mathmlBuilder(group,options){var arrowNode=stretchy.mathMLnode(group.label);arrowNode.setAttribute("minsize",group.label.charAt(0)==="x"?"1.75em":"3.0em");var node2;if(group.body){var upperNode=paddedNode(buildGroup2(group.body,options));if(group.below){var lowerNode=paddedNode(buildGroup2(group.below,options));node2=new mathMLTree.MathNode("munderover",[arrowNode,
+lowerNode,upperNode])}else node2=new mathMLTree.MathNode("mover",[arrowNode,upperNode])}else if(group.below){var _lowerNode=paddedNode(buildGroup2(group.below,options));node2=new mathMLTree.MathNode("munder",[arrowNode,_lowerNode])}else node2=paddedNode(),node2=new mathMLTree.MathNode("mover",[arrowNode,node2]);return node2}});var makeSpan2=buildCommon.makeSpan;function htmlBuilder$9(group,options){var elements=buildExpression$1(group.body,options,!0);return makeSpan2([group.mclass],elements,options)}
+function mathmlBuilder$8(group,options){var node2,inner2=buildExpression2(group.body,options);return group.mclass==="minner"?node2=new mathMLTree.MathNode("mpadded",inner2):group.mclass==="mord"?group.isCharacterBox?(node2=inner2[0],node2.type="mi"):node2=new mathMLTree.MathNode("mi",inner2):(group.isCharacterBox?(node2=inner2[0],node2.type="mo"):node2=new mathMLTree.MathNode("mo",inner2),group.mclass==="mbin"?(node2.attributes.lspace="0.22em",node2.attributes.rspace="0.22em"):group.mclass==="mp\
+unct"?(node2.attributes.lspace="0em",node2.attributes.rspace="0.17em"):group.mclass==="mopen"||group.mclass==="mclose"?(node2.attributes.lspace="0em",node2.attributes.rspace="0em"):group.mclass==="minner"&&(node2.attributes.lspace="0.0556em",node2.attributes.width="+0.1111em")),node2}defineFunction({type:"mclass",names:["\\mathord","\\mathbin","\\mathrel","\\mathopen","\\mathclose","\\mathpunct","\\mathinner"],props:{numArgs:1,primitive:!0},handler(_ref,args){var{parser,funcName}=_ref,body2=args[0];
+return{type:"mclass",mode:parser.mode,mclass:"m"+funcName.slice(5),body:ordargument(body2),isCharacterBox:utils.isCharacterBox(body2)}},htmlBuilder:htmlBuilder$9,mathmlBuilder:mathmlBuilder$8});var binrelClass=arg=>{var atom=arg.type==="ordgroup"&&arg.body.length?arg.body[0]:arg;return atom.type==="atom"&&(atom.family==="bin"||atom.family==="rel")?"m"+atom.family:"mord"};defineFunction({type:"mclass",names:["\\@binrel"],props:{numArgs:2},handler(_ref2,args){var{parser}=_ref2;return{type:"mclass",
+mode:parser.mode,mclass:binrelClass(args[0]),body:ordargument(args[1]),isCharacterBox:utils.isCharacterBox(args[1])}}});defineFunction({type:"mclass",names:["\\stackrel","\\overset","\\underset"],props:{numArgs:2},handler(_ref3,args){var{parser,funcName}=_ref3,baseArg=args[1],shiftedArg=args[0],mclass;funcName!=="\\stackrel"?mclass=binrelClass(baseArg):mclass="mrel";var baseOp={type:"op",mode:baseArg.mode,limits:!0,alwaysHandleSupSub:!0,parentIsSupSub:!1,symbol:!1,suppressBaseShift:funcName!=="\\\
+stackrel",body:ordargument(baseArg)},supsub={type:"supsub",mode:shiftedArg.mode,base:baseOp,sup:funcName==="\\underset"?null:shiftedArg,sub:funcName==="\\underset"?shiftedArg:null};return{type:"mclass",mode:parser.mode,mclass,body:[supsub],isCharacterBox:utils.isCharacterBox(supsub)}},htmlBuilder:htmlBuilder$9,mathmlBuilder:mathmlBuilder$8});defineFunction({type:"pmb",names:["\\pmb"],props:{numArgs:1,allowedInText:!0},handler(_ref,args){var{parser}=_ref;return{type:"pmb",mode:parser.mode,mclass:binrelClass(
+args[0]),body:ordargument(args[0])}},htmlBuilder(group,options){var elements=buildExpression$1(group.body,options,!0),node2=buildCommon.makeSpan([group.mclass],elements,options);return node2.style.textShadow="0.02em 0.01em 0.04px",node2},mathmlBuilder(group,style2){var inner2=buildExpression2(group.body,style2),node2=new mathMLTree.MathNode("mstyle",inner2);return node2.setAttribute("style","text-shadow: 0.02em 0.01em 0.04px"),node2}});var cdArrowFunctionName={">":"\\\\cdrightarrow","<":"\\\\cdlef\
+tarrow","=":"\\\\cdlongequal",A:"\\uparrow",V:"\\downarrow","|":"\\Vert",".":"no arrow"},newCell=()=>({type:"styling",body:[],mode:"math",style:"display"}),isStartOfArrow=node2=>node2.type==="textord"&&node2.text==="@",isLabelEnd=(node2,endChar)=>(node2.type==="mathord"||node2.type==="atom")&&node2.text===endChar;function cdArrow(arrowChar,labels,parser){var funcName=cdArrowFunctionName[arrowChar];switch(funcName){case"\\\\cdrightarrow":case"\\\\cdleftarrow":return parser.callFunction(funcName,[
+labels[0]],[labels[1]]);case"\\uparrow":case"\\downarrow":{var leftLabel=parser.callFunction("\\\\cdleft",[labels[0]],[]),bareArrow={type:"atom",text:funcName,mode:"math",family:"rel"},sizedArrow=parser.callFunction("\\Big",[bareArrow],[]),rightLabel=parser.callFunction("\\\\cdright",[labels[1]],[]),arrowGroup={type:"ordgroup",mode:"math",body:[leftLabel,sizedArrow,rightLabel]};return parser.callFunction("\\\\cdparent",[arrowGroup],[])}case"\\\\cdlongequal":return parser.callFunction("\\\\cdlongeq\
+ual",[],[]);case"\\Vert":{var arrow2={type:"textord",text:"\\Vert",mode:"math"};return parser.callFunction("\\Big",[arrow2],[])}default:return{type:"textord",text:" ",mode:"math"}}}function parseCD(parser){var parsedRows=[];for(parser.gullet.beginGroup(),parser.gullet.macros.set("\\cr","\\\\\\relax"),parser.gullet.beginGroup();;){parsedRows.push(parser.parseExpression(!1,"\\\\")),parser.gullet.endGroup(),parser.gullet.beginGroup();var next2=parser.fetch().text;if(next2==="&"||next2==="\\\\")parser.
+consume();else if(next2==="\\end"){parsedRows[parsedRows.length-1].length===0&&parsedRows.pop();break}else throw new ParseError2("Expected \\\\ or \\cr or \\end",parser.nextToken)}for(var row2=[],body2=[row2],i=0;i<parsedRows.length;i++){for(var rowNodes=parsedRows[i],cell2=newCell(),j=0;j<rowNodes.length;j++)if(!isStartOfArrow(rowNodes[j]))cell2.body.push(rowNodes[j]);else{row2.push(cell2),j+=1;var arrowChar=assertSymbolNodeType(rowNodes[j]).text,labels=new Array(2);if(labels[0]={type:"ordgroup",
+mode:"math",body:[]},labels[1]={type:"ordgroup",mode:"math",body:[]},!("=|.".indexOf(arrowChar)>-1))if("<>AV".indexOf(arrowChar)>-1)for(var labelNum=0;labelNum<2;labelNum++){for(var inLabel=!0,k=j+1;k<rowNodes.length;k++){if(isLabelEnd(rowNodes[k],arrowChar)){inLabel=!1,j=k;break}if(isStartOfArrow(rowNodes[k]))throw new ParseError2("Missing a "+arrowChar+" character to complete a CD arrow.",rowNodes[k]);labels[labelNum].body.push(rowNodes[k])}if(inLabel)throw new ParseError2("Missing a "+arrowChar+
+" character to complete a CD arrow.",rowNodes[j])}else throw new ParseError2('Expected one of "<>AV=|." after @',rowNodes[j]);var arrow2=cdArrow(arrowChar,labels,parser),wrappedArrow={type:"styling",body:[arrow2],mode:"math",style:"display"};row2.push(wrappedArrow),cell2=newCell()}i%2===0?row2.push(cell2):row2.shift(),row2=[],body2.push(row2)}parser.gullet.endGroup(),parser.gullet.endGroup();var cols=new Array(body2[0].length).fill({type:"align",align:"c",pregap:.25,postgap:.25});return{type:"ar\
+ray",mode:"math",body:body2,arraystretch:1,addJot:!0,rowGaps:[null],cols,colSeparationType:"CD",hLinesBeforeRow:new Array(body2.length+1).fill([])}}defineFunction({type:"cdlabel",names:["\\\\cdleft","\\\\cdright"],props:{numArgs:1},handler(_ref,args){var{parser,funcName}=_ref;return{type:"cdlabel",mode:parser.mode,side:funcName.slice(4),label:args[0]}},htmlBuilder(group,options){var newOptions=options.havingStyle(options.style.sup()),label=buildCommon.wrapFragment(buildGroup$1(group.label,newOptions,
+options),options);return label.classes.push("cd-label-"+group.side),label.style.bottom=makeEm(.8-label.depth),label.height=0,label.depth=0,label},mathmlBuilder(group,options){var label=new mathMLTree.MathNode("mrow",[buildGroup2(group.label,options)]);return label=new mathMLTree.MathNode("mpadded",[label]),label.setAttribute("width","0"),group.side==="left"&&label.setAttribute("lspace","-1width"),label.setAttribute("voffset","0.7em"),label=new mathMLTree.MathNode("mstyle",[label]),label.setAttribute(
+"displaystyle","false"),label.setAttribute("scriptlevel","1"),label}});defineFunction({type:"cdlabelparent",names:["\\\\cdparent"],props:{numArgs:1},handler(_ref2,args){var{parser}=_ref2;return{type:"cdlabelparent",mode:parser.mode,fragment:args[0]}},htmlBuilder(group,options){var parent=buildCommon.wrapFragment(buildGroup$1(group.fragment,options),options);return parent.classes.push("cd-vert-arrow"),parent},mathmlBuilder(group,options){return new mathMLTree.MathNode("mrow",[buildGroup2(group.fragment,
+options)])}});defineFunction({type:"textord",names:["\\@char"],props:{numArgs:1,allowedInText:!0},handler(_ref,args){for(var{parser}=_ref,arg=assertNodeType(args[0],"ordgroup"),group=arg.body,number2="",i=0;i<group.length;i++){var node2=assertNodeType(group[i],"textord");number2+=node2.text}var code2=parseInt(number2),text2;if(isNaN(code2))throw new ParseError2("\\@char has non-numeric argument "+number2);if(code2<0||code2>=1114111)throw new ParseError2("\\@char with invalid code point "+number2);
+return code2<=65535?text2=String.fromCharCode(code2):(code2-=65536,text2=String.fromCharCode((code2>>10)+55296,(code2&1023)+56320)),{type:"textord",mode:parser.mode,text:text2}}});var htmlBuilder$8=(group,options)=>{var elements=buildExpression$1(group.body,options.withColor(group.color),!1);return buildCommon.makeFragment(elements)},mathmlBuilder$7=(group,options)=>{var inner2=buildExpression2(group.body,options.withColor(group.color)),node2=new mathMLTree.MathNode("mstyle",inner2);return node2.
+setAttribute("mathcolor",group.color),node2};defineFunction({type:"color",names:["\\textcolor"],props:{numArgs:2,allowedInText:!0,argTypes:["color","original"]},handler(_ref,args){var{parser}=_ref,color=assertNodeType(args[0],"color-token").color,body2=args[1];return{type:"color",mode:parser.mode,color,body:ordargument(body2)}},htmlBuilder:htmlBuilder$8,mathmlBuilder:mathmlBuilder$7});defineFunction({type:"color",names:["\\color"],props:{numArgs:1,allowedInText:!0,argTypes:["color"]},handler(_ref2,args){
+var{parser,breakOnTokenText}=_ref2,color=assertNodeType(args[0],"color-token").color;parser.gullet.macros.set("\\current@color",color);var body2=parser.parseExpression(!0,breakOnTokenText);return{type:"color",mode:parser.mode,color,body:body2}},htmlBuilder:htmlBuilder$8,mathmlBuilder:mathmlBuilder$7});defineFunction({type:"cr",names:["\\\\"],props:{numArgs:0,numOptionalArgs:0,allowedInText:!0},handler(_ref,args,optArgs){var{parser}=_ref,size2=parser.gullet.future().text==="["?parser.parseSizeGroup(
+!0):null,newLine=!parser.settings.displayMode||!parser.settings.useStrictBehavior("newLineInDisplayMode","In LaTeX, \\\\ or \\newline does nothing in display mode");return{type:"cr",mode:parser.mode,newLine,size:size2&&assertNodeType(size2,"size").value}},htmlBuilder(group,options){var span=buildCommon.makeSpan(["mspace"],[],options);return group.newLine&&(span.classes.push("newline"),group.size&&(span.style.marginTop=makeEm(calculateSize(group.size,options)))),span},mathmlBuilder(group,options){
+var node2=new mathMLTree.MathNode("mspace");return group.newLine&&(node2.setAttribute("linebreak","newline"),group.size&&node2.setAttribute("height",makeEm(calculateSize(group.size,options)))),node2}});var globalMap={"\\global":"\\global","\\long":"\\\\globallong","\\\\globallong":"\\\\globallong","\\def":"\\gdef","\\gdef":"\\gdef","\\edef":"\\xdef","\\xdef":"\\xdef","\\let":"\\\\globallet","\\futurelet":"\\\\globalfuture"},checkControlSequence=tok=>{var name=tok.text;if(/^(?:[\\{}$&#^_]|EOF)$/.
+test(name))throw new ParseError2("Expected a control sequence",tok);return name},getRHS=parser=>{var tok=parser.gullet.popToken();return tok.text==="="&&(tok=parser.gullet.popToken(),tok.text===" "&&(tok=parser.gullet.popToken())),tok},letCommand=(parser,name,tok,global2)=>{var macro=parser.gullet.macros.get(tok.text);macro==null&&(tok.noexpand=!0,macro={tokens:[tok],numArgs:0,unexpandable:!parser.gullet.isExpandable(tok.text)}),parser.gullet.macros.set(name,macro,global2)};defineFunction({type:"\
+internal",names:["\\global","\\long","\\\\globallong"],props:{numArgs:0,allowedInText:!0},handler(_ref){var{parser,funcName}=_ref;parser.consumeSpaces();var token2=parser.fetch();if(globalMap[token2.text])return(funcName==="\\global"||funcName==="\\\\globallong")&&(token2.text=globalMap[token2.text]),assertNodeType(parser.parseFunction(),"internal");throw new ParseError2("Invalid token after macro prefix",token2)}});defineFunction({type:"internal",names:["\\def","\\gdef","\\edef","\\xdef"],props:{
+numArgs:0,allowedInText:!0,primitive:!0},handler(_ref2){var{parser,funcName}=_ref2,tok=parser.gullet.popToken(),name=tok.text;if(/^(?:[\\{}$&#^_]|EOF)$/.test(name))throw new ParseError2("Expected a control sequence",tok);for(var numArgs=0,insert,delimiters2=[[]];parser.gullet.future().text!=="{";)if(tok=parser.gullet.popToken(),tok.text==="#"){if(parser.gullet.future().text==="{"){insert=parser.gullet.future(),delimiters2[numArgs].push("{");break}if(tok=parser.gullet.popToken(),!/^[1-9]$/.test(tok.
+text))throw new ParseError2('Invalid argument number "'+tok.text+'"');if(parseInt(tok.text)!==numArgs+1)throw new ParseError2('Argument number "'+tok.text+'" out of order');numArgs++,delimiters2.push([])}else{if(tok.text==="EOF")throw new ParseError2("Expected a macro definition");delimiters2[numArgs].push(tok.text)}var{tokens}=parser.gullet.consumeArg();return insert&&tokens.unshift(insert),(funcName==="\\edef"||funcName==="\\xdef")&&(tokens=parser.gullet.expandTokens(tokens),tokens.reverse()),
+parser.gullet.macros.set(name,{tokens,numArgs,delimiters:delimiters2},funcName===globalMap[funcName]),{type:"internal",mode:parser.mode}}});defineFunction({type:"internal",names:["\\let","\\\\globallet"],props:{numArgs:0,allowedInText:!0,primitive:!0},handler(_ref3){var{parser,funcName}=_ref3,name=checkControlSequence(parser.gullet.popToken());parser.gullet.consumeSpaces();var tok=getRHS(parser);return letCommand(parser,name,tok,funcName==="\\\\globallet"),{type:"internal",mode:parser.mode}}});defineFunction(
+{type:"internal",names:["\\futurelet","\\\\globalfuture"],props:{numArgs:0,allowedInText:!0,primitive:!0},handler(_ref4){var{parser,funcName}=_ref4,name=checkControlSequence(parser.gullet.popToken()),middle=parser.gullet.popToken(),tok=parser.gullet.popToken();return letCommand(parser,name,tok,funcName==="\\\\globalfuture"),parser.gullet.pushToken(tok),parser.gullet.pushToken(middle),{type:"internal",mode:parser.mode}}});var getMetrics=function(symbol,font,mode){var replace2=symbols.math[symbol]&&
+symbols.math[symbol].replace,metrics=getCharacterMetrics(replace2||symbol,font,mode);if(!metrics)throw new Error("Unsupported symbol "+symbol+" and font size "+font+".");return metrics},styleWrap=function(delim,toStyle,options,classes){var newOptions=options.havingBaseStyle(toStyle),span=buildCommon.makeSpan(classes.concat(newOptions.sizingClasses(options)),[delim],options),delimSizeMultiplier=newOptions.sizeMultiplier/options.sizeMultiplier;return span.height*=delimSizeMultiplier,span.depth*=delimSizeMultiplier,
+span.maxFontSize=newOptions.sizeMultiplier,span},centerSpan=function(span,options,style2){var newOptions=options.havingBaseStyle(style2),shift2=(1-options.sizeMultiplier/newOptions.sizeMultiplier)*options.fontMetrics().axisHeight;span.classes.push("delimcenter"),span.style.top=makeEm(shift2),span.height-=shift2,span.depth+=shift2},makeSmallDelim=function(delim,style2,center,options,mode,classes){var text2=buildCommon.makeSymbol(delim,"Main-Regular",mode,options),span=styleWrap(text2,style2,options,
+classes);return center&&centerSpan(span,options,style2),span},mathrmSize=function(value,size2,mode,options){return buildCommon.makeSymbol(value,"Size"+size2+"-Regular",mode,options)},makeLargeDelim=function(delim,size2,center,options,mode,classes){var inner2=mathrmSize(delim,size2,mode,options),span=styleWrap(buildCommon.makeSpan(["delimsizing","size"+size2],[inner2],options),Style$1.TEXT,options,classes);return center&&centerSpan(span,options,Style$1.TEXT),span},makeGlyphSpan=function(symbol,font,mode){
+var sizeClass;font==="Size1-Regular"?sizeClass="delim-size1":sizeClass="delim-size4";var corner=buildCommon.makeSpan(["delimsizinginner",sizeClass],[buildCommon.makeSpan([],[buildCommon.makeSymbol(symbol,font,mode)])]);return{type:"elem",elem:corner}},makeInner=function(ch,height,options){var width=fontMetricsData["Size4-Regular"][ch.charCodeAt(0)]?fontMetricsData["Size4-Regular"][ch.charCodeAt(0)][4]:fontMetricsData["Size1-Regular"][ch.charCodeAt(0)][4],path2=new PathNode("inner",innerPath(ch,Math.
+round(1e3*height))),svgNode=new SvgNode([path2],{width:makeEm(width),height:makeEm(height),style:"width:"+makeEm(width),viewBox:"0 0 "+1e3*width+" "+Math.round(1e3*height),preserveAspectRatio:"xMinYMin"}),span=buildCommon.makeSvgSpan([],[svgNode],options);return span.height=height,span.style.height=makeEm(height),span.style.width=makeEm(width),{type:"elem",elem:span}},lapInEms=.008,lap={type:"kern",size:-1*lapInEms},verts=["|","\\lvert","\\rvert","\\vert"],doubleVerts=["\\|","\\lVert","\\rVert",
+"\\Vert"],makeStackedDelim=function(delim,heightTotal,center,options,mode,classes){var top,middle,repeat,bottom,svgLabel="",viewBoxWidth=0;top=repeat=bottom=delim,middle=null;var font="Size1-Regular";delim==="\\uparrow"?repeat=bottom="⏐":delim==="\\Uparrow"?repeat=bottom="‖":delim==="\\downarrow"?top=repeat="⏐":delim==="\\Downarrow"?top=repeat="‖":delim==="\\updownarrow"?(top="\\uparrow",repeat="⏐",bottom="\\downarrow"):delim==="\\Updownarrow"?(top="\\Uparrow",repeat="‖",bottom="\\Dow\
+narrow"):utils.contains(verts,delim)?(repeat="∣",svgLabel="vert",viewBoxWidth=333):utils.contains(doubleVerts,delim)?(repeat="∥",svgLabel="doublevert",viewBoxWidth=556):delim==="["||delim==="\\lbrack"?(top="⎡",repeat="⎢",bottom="⎣",font="Size4-Regular",svgLabel="lbrack",viewBoxWidth=667):delim==="]"||delim==="\\rbrack"?(top="⎤",repeat="⎥",bottom="⎦",font="Size4-Regular",svgLabel="rbrack",viewBoxWidth=667):delim==="\\lfloor"||delim==="⌊"?(repeat=top="⎢",bottom="⎣",font="Size\
+4-Regular",svgLabel="lfloor",viewBoxWidth=667):delim==="\\lceil"||delim==="⌈"?(top="⎡",repeat=bottom="⎢",font="Size4-Regular",svgLabel="lceil",viewBoxWidth=667):delim==="\\rfloor"||delim==="⌋"?(repeat=top="⎥",bottom="⎦",font="Size4-Regular",svgLabel="rfloor",viewBoxWidth=667):delim==="\\rceil"||delim==="⌉"?(top="⎤",repeat=bottom="⎥",font="Size4-Regular",svgLabel="rceil",viewBoxWidth=667):delim==="("||delim==="\\lparen"?(top="⎛",repeat="⎜",bottom="⎝",font="Size4-Regular",svgLabel=
+"lparen",viewBoxWidth=875):delim===")"||delim==="\\rparen"?(top="⎞",repeat="⎟",bottom="⎠",font="Size4-Regular",svgLabel="rparen",viewBoxWidth=875):delim==="\\{"||delim==="\\lbrace"?(top="⎧",middle="⎨",bottom="⎩",repeat="⎪",font="Size4-Regular"):delim==="\\}"||delim==="\\rbrace"?(top="⎫",middle="⎬",bottom="⎭",repeat="⎪",font="Size4-Regular"):delim==="\\lgroup"||delim==="⟮"?(top="⎧",bottom="⎩",repeat="⎪",font="Size4-Regular"):delim==="\\rgroup"||delim==="⟯"?(top="⎫",
+bottom="⎭",repeat="⎪",font="Size4-Regular"):delim==="\\lmoustache"||delim==="⎰"?(top="⎧",bottom="⎭",repeat="⎪",font="Size4-Regular"):(delim==="\\rmoustache"||delim==="⎱")&&(top="⎫",bottom="⎩",repeat="⎪",font="Size4-Regular");var topMetrics=getMetrics(top,font,mode),topHeightTotal=topMetrics.height+topMetrics.depth,repeatMetrics=getMetrics(repeat,font,mode),repeatHeightTotal=repeatMetrics.height+repeatMetrics.depth,bottomMetrics=getMetrics(bottom,font,mode),bottomHeightTotal=bottomMetrics.
+height+bottomMetrics.depth,middleHeightTotal=0,middleFactor=1;if(middle!==null){var middleMetrics=getMetrics(middle,font,mode);middleHeightTotal=middleMetrics.height+middleMetrics.depth,middleFactor=2}var minHeight=topHeightTotal+bottomHeightTotal+middleHeightTotal,repeatCount=Math.max(0,Math.ceil((heightTotal-minHeight)/(middleFactor*repeatHeightTotal))),realHeightTotal=minHeight+repeatCount*middleFactor*repeatHeightTotal,axisHeight=options.fontMetrics().axisHeight;center&&(axisHeight*=options.
+sizeMultiplier);var depth=realHeightTotal/2-axisHeight,stack=[];if(svgLabel.length>0){var midHeight=realHeightTotal-topHeightTotal-bottomHeightTotal,viewBoxHeight=Math.round(realHeightTotal*1e3),pathStr=tallDelim(svgLabel,Math.round(midHeight*1e3)),path2=new PathNode(svgLabel,pathStr),width=(viewBoxWidth/1e3).toFixed(3)+"em",height=(viewBoxHeight/1e3).toFixed(3)+"em",svg2=new SvgNode([path2],{width,height,viewBox:"0 0 "+viewBoxWidth+" "+viewBoxHeight}),wrapper=buildCommon.makeSvgSpan([],[svg2],options);
+wrapper.height=viewBoxHeight/1e3,wrapper.style.width=width,wrapper.style.height=height,stack.push({type:"elem",elem:wrapper})}else{if(stack.push(makeGlyphSpan(bottom,font,mode)),stack.push(lap),middle===null){var innerHeight=realHeightTotal-topHeightTotal-bottomHeightTotal+2*lapInEms;stack.push(makeInner(repeat,innerHeight,options))}else{var _innerHeight=(realHeightTotal-topHeightTotal-bottomHeightTotal-middleHeightTotal)/2+2*lapInEms;stack.push(makeInner(repeat,_innerHeight,options)),stack.push(
+lap),stack.push(makeGlyphSpan(middle,font,mode)),stack.push(lap),stack.push(makeInner(repeat,_innerHeight,options))}stack.push(lap),stack.push(makeGlyphSpan(top,font,mode))}var newOptions=options.havingBaseStyle(Style$1.TEXT),inner2=buildCommon.makeVList({positionType:"bottom",positionData:depth,children:stack},newOptions);return styleWrap(buildCommon.makeSpan(["delimsizing","mult"],[inner2],newOptions),Style$1.TEXT,options,classes)},vbPad=80,emPad=.08,sqrtSvg=function(sqrtName,height,viewBoxHeight,extraVinculum,options){
+var path2=sqrtPath(sqrtName,extraVinculum,viewBoxHeight),pathNode=new PathNode(sqrtName,path2),svg2=new SvgNode([pathNode],{width:"400em",height:makeEm(height),viewBox:"0 0 400000 "+viewBoxHeight,preserveAspectRatio:"xMinYMin slice"});return buildCommon.makeSvgSpan(["hide-tail"],[svg2],options)},makeSqrtImage=function(height,options){var newOptions=options.havingBaseSizing(),delim=traverseSequence("\\surd",height*newOptions.sizeMultiplier,stackLargeDelimiterSequence,newOptions),sizeMultiplier=newOptions.
+sizeMultiplier,extraVinculum=Math.max(0,options.minRuleThickness-options.fontMetrics().sqrtRuleThickness),span,spanHeight=0,texHeight=0,viewBoxHeight=0,advanceWidth;return delim.type==="small"?(viewBoxHeight=1e3+1e3*extraVinculum+vbPad,height<1?sizeMultiplier=1:height<1.4&&(sizeMultiplier=.7),spanHeight=(1+extraVinculum+emPad)/sizeMultiplier,texHeight=(1+extraVinculum)/sizeMultiplier,span=sqrtSvg("sqrtMain",spanHeight,viewBoxHeight,extraVinculum,options),span.style.minWidth="0.853em",advanceWidth=
+.833/sizeMultiplier):delim.type==="large"?(viewBoxHeight=(1e3+vbPad)*sizeToMaxHeight[delim.size],texHeight=(sizeToMaxHeight[delim.size]+extraVinculum)/sizeMultiplier,spanHeight=(sizeToMaxHeight[delim.size]+extraVinculum+emPad)/sizeMultiplier,span=sqrtSvg("sqrtSize"+delim.size,spanHeight,viewBoxHeight,extraVinculum,options),span.style.minWidth="1.02em",advanceWidth=1/sizeMultiplier):(spanHeight=height+extraVinculum+emPad,texHeight=height+extraVinculum,viewBoxHeight=Math.floor(1e3*height+extraVinculum)+
+vbPad,span=sqrtSvg("sqrtTall",spanHeight,viewBoxHeight,extraVinculum,options),span.style.minWidth="0.742em",advanceWidth=1.056),span.height=texHeight,span.style.height=makeEm(spanHeight),{span,advanceWidth,ruleWidth:(options.fontMetrics().sqrtRuleThickness+extraVinculum)*sizeMultiplier}},stackLargeDelimiters=["(","\\lparen",")","\\rparen","[","\\lbrack","]","\\rbrack","\\{","\\lbrace","\\}","\\rbrace","\\lfloor","\\rfloor","⌊","⌋","\\lceil","\\rceil","⌈","⌉","\\surd"],stackAlwaysDelimiters=[
+"\\uparrow","\\downarrow","\\updownarrow","\\Uparrow","\\Downarrow","\\Updownarrow","|","\\|","\\vert","\\Vert","\\lvert","\\rvert","\\lVert","\\rVert","\\lgroup","\\rgroup","⟮","⟯","\\lmoustache","\\rmoustache","⎰","⎱"],stackNeverDelimiters=["<",">","\\langle","\\rangle","/","\\backslash","\\lt","\\gt"],sizeToMaxHeight=[0,1.2,1.8,2.4,3],makeSizedDelim=function(delim,size2,options,mode,classes){if(delim==="<"||delim==="\\lt"||delim==="⟨"?delim="\\langle":(delim===">"||delim==="\\gt"||delim===
+"⟩")&&(delim="\\rangle"),utils.contains(stackLargeDelimiters,delim)||utils.contains(stackNeverDelimiters,delim))return makeLargeDelim(delim,size2,!1,options,mode,classes);if(utils.contains(stackAlwaysDelimiters,delim))return makeStackedDelim(delim,sizeToMaxHeight[size2],!1,options,mode,classes);throw new ParseError2("Illegal delimiter: '"+delim+"'")},stackNeverDelimiterSequence=[{type:"small",style:Style$1.SCRIPTSCRIPT},{type:"small",style:Style$1.SCRIPT},{type:"small",style:Style$1.TEXT},{type:"\
+large",size:1},{type:"large",size:2},{type:"large",size:3},{type:"large",size:4}],stackAlwaysDelimiterSequence=[{type:"small",style:Style$1.SCRIPTSCRIPT},{type:"small",style:Style$1.SCRIPT},{type:"small",style:Style$1.TEXT},{type:"stack"}],stackLargeDelimiterSequence=[{type:"small",style:Style$1.SCRIPTSCRIPT},{type:"small",style:Style$1.SCRIPT},{type:"small",style:Style$1.TEXT},{type:"large",size:1},{type:"large",size:2},{type:"large",size:3},{type:"large",size:4},{type:"stack"}],delimTypeToFont=function(type2){
+if(type2.type==="small")return"Main-Regular";if(type2.type==="large")return"Size"+type2.size+"-Regular";if(type2.type==="stack")return"Size4-Regular";throw new Error("Add support for delim type '"+type2.type+"' here.")},traverseSequence=function(delim,height,sequence,options){for(var start2=Math.min(2,3-options.style.size),i=start2;i<sequence.length&&sequence[i].type!=="stack";i++){var metrics=getMetrics(delim,delimTypeToFont(sequence[i]),"math"),heightDepth=metrics.height+metrics.depth;if(sequence[i].
+type==="small"){var newOptions=options.havingBaseStyle(sequence[i].style);heightDepth*=newOptions.sizeMultiplier}if(heightDepth>height)return sequence[i]}return sequence[sequence.length-1]},makeCustomSizedDelim=function(delim,height,center,options,mode,classes){delim==="<"||delim==="\\lt"||delim==="⟨"?delim="\\langle":(delim===">"||delim==="\\gt"||delim==="⟩")&&(delim="\\rangle");var sequence;utils.contains(stackNeverDelimiters,delim)?sequence=stackNeverDelimiterSequence:utils.contains(stackLargeDelimiters,
+delim)?sequence=stackLargeDelimiterSequence:sequence=stackAlwaysDelimiterSequence;var delimType=traverseSequence(delim,height,sequence,options);return delimType.type==="small"?makeSmallDelim(delim,delimType.style,center,options,mode,classes):delimType.type==="large"?makeLargeDelim(delim,delimType.size,center,options,mode,classes):makeStackedDelim(delim,height,center,options,mode,classes)},makeLeftRightDelim=function(delim,height,depth,options,mode,classes){var axisHeight=options.fontMetrics().axisHeight*
+options.sizeMultiplier,delimiterFactor=901,delimiterExtend=5/options.fontMetrics().ptPerEm,maxDistFromAxis=Math.max(height-axisHeight,depth+axisHeight),totalHeight=Math.max(maxDistFromAxis/500*delimiterFactor,2*maxDistFromAxis-delimiterExtend);return makeCustomSizedDelim(delim,totalHeight,!0,options,mode,classes)},delimiter={sqrtImage:makeSqrtImage,sizedDelim:makeSizedDelim,sizeToMaxHeight,customSizedDelim:makeCustomSizedDelim,leftRightDelim:makeLeftRightDelim},delimiterSizes={"\\bigl":{mclass:"\
+mopen",size:1},"\\Bigl":{mclass:"mopen",size:2},"\\biggl":{mclass:"mopen",size:3},"\\Biggl":{mclass:"mopen",size:4},"\\bigr":{mclass:"mclose",size:1},"\\Bigr":{mclass:"mclose",size:2},"\\biggr":{mclass:"mclose",size:3},"\\Biggr":{mclass:"mclose",size:4},"\\bigm":{mclass:"mrel",size:1},"\\Bigm":{mclass:"mrel",size:2},"\\biggm":{mclass:"mrel",size:3},"\\Biggm":{mclass:"mrel",size:4},"\\big":{mclass:"mord",size:1},"\\Big":{mclass:"mord",size:2},"\\bigg":{mclass:"mord",size:3},"\\Bigg":{mclass:"mord",
+size:4}},delimiters=["(","\\lparen",")","\\rparen","[","\\lbrack","]","\\rbrack","\\{","\\lbrace","\\}","\\rbrace","\\lfloor","\\rfloor","⌊","⌋","\\lceil","\\rceil","⌈","⌉","<",">","\\langle","⟨","\\rangle","⟩","\\lt","\\gt","\\lvert","\\rvert","\\lVert","\\rVert","\\lgroup","\\rgroup","⟮","⟯","\\lmoustache","\\rmoustache","⎰","⎱","/","\\backslash","|","\\vert","\\|","\\Vert","\\uparrow","\\Uparrow","\\downarrow","\\Downarrow","\\updownarrow","\\Updownarrow","."];function checkDelimiter(delim,context){
+var symDelim=checkSymbolNodeType(delim);if(symDelim&&utils.contains(delimiters,symDelim.text))return symDelim;throw symDelim?new ParseError2("Invalid delimiter '"+symDelim.text+"' after '"+context.funcName+"'",delim):new ParseError2("Invalid delimiter type '"+delim.type+"'",delim)}defineFunction({type:"delimsizing",names:["\\bigl","\\Bigl","\\biggl","\\Biggl","\\bigr","\\Bigr","\\biggr","\\Biggr","\\bigm","\\Bigm","\\biggm","\\Biggm","\\big","\\Big","\\bigg","\\Bigg"],props:{numArgs:1,argTypes:[
+"primitive"]},handler:(context,args)=>{var delim=checkDelimiter(args[0],context);return{type:"delimsizing",mode:context.parser.mode,size:delimiterSizes[context.funcName].size,mclass:delimiterSizes[context.funcName].mclass,delim:delim.text}},htmlBuilder:(group,options)=>group.delim==="."?buildCommon.makeSpan([group.mclass]):delimiter.sizedDelim(group.delim,group.size,options,group.mode,[group.mclass]),mathmlBuilder:group=>{var children=[];group.delim!=="."&&children.push(makeText(group.delim,group.
+mode));var node2=new mathMLTree.MathNode("mo",children);group.mclass==="mopen"||group.mclass==="mclose"?node2.setAttribute("fence","true"):node2.setAttribute("fence","false"),node2.setAttribute("stretchy","true");var size2=makeEm(delimiter.sizeToMaxHeight[group.size]);return node2.setAttribute("minsize",size2),node2.setAttribute("maxsize",size2),node2}});function assertParsed(group){if(!group.body)throw new Error("Bug: The leftright ParseNode wasn't fully parsed.")}defineFunction({type:"leftrigh\
+t-right",names:["\\right"],props:{numArgs:1,primitive:!0},handler:(context,args)=>{var color=context.parser.gullet.macros.get("\\current@color");if(color&&typeof color!="string")throw new ParseError2("\\current@color set to non-string in \\right");return{type:"leftright-right",mode:context.parser.mode,delim:checkDelimiter(args[0],context).text,color}}});defineFunction({type:"leftright",names:["\\left"],props:{numArgs:1,primitive:!0},handler:(context,args)=>{var delim=checkDelimiter(args[0],context),
+parser=context.parser;++parser.leftrightDepth;var body2=parser.parseExpression(!1);--parser.leftrightDepth,parser.expect("\\right",!1);var right=assertNodeType(parser.parseFunction(),"leftright-right");return{type:"leftright",mode:parser.mode,body:body2,left:delim.text,right:right.delim,rightColor:right.color}},htmlBuilder:(group,options)=>{assertParsed(group);for(var inner2=buildExpression$1(group.body,options,!0,["mopen","mclose"]),innerHeight=0,innerDepth=0,hadMiddle=!1,i=0;i<inner2.length;i++)
+inner2[i].isMiddle?hadMiddle=!0:(innerHeight=Math.max(inner2[i].height,innerHeight),innerDepth=Math.max(inner2[i].depth,innerDepth));innerHeight*=options.sizeMultiplier,innerDepth*=options.sizeMultiplier;var leftDelim;if(group.left==="."?leftDelim=makeNullDelimiter(options,["mopen"]):leftDelim=delimiter.leftRightDelim(group.left,innerHeight,innerDepth,options,group.mode,["mopen"]),inner2.unshift(leftDelim),hadMiddle)for(var _i=1;_i<inner2.length;_i++){var middleDelim=inner2[_i],isMiddle=middleDelim.
+isMiddle;isMiddle&&(inner2[_i]=delimiter.leftRightDelim(isMiddle.delim,innerHeight,innerDepth,isMiddle.options,group.mode,[]))}var rightDelim;if(group.right===".")rightDelim=makeNullDelimiter(options,["mclose"]);else{var colorOptions=group.rightColor?options.withColor(group.rightColor):options;rightDelim=delimiter.leftRightDelim(group.right,innerHeight,innerDepth,colorOptions,group.mode,["mclose"])}return inner2.push(rightDelim),buildCommon.makeSpan(["minner"],inner2,options)},mathmlBuilder:(group,options)=>{
+assertParsed(group);var inner2=buildExpression2(group.body,options);if(group.left!=="."){var leftNode=new mathMLTree.MathNode("mo",[makeText(group.left,group.mode)]);leftNode.setAttribute("fence","true"),inner2.unshift(leftNode)}if(group.right!=="."){var rightNode=new mathMLTree.MathNode("mo",[makeText(group.right,group.mode)]);rightNode.setAttribute("fence","true"),group.rightColor&&rightNode.setAttribute("mathcolor",group.rightColor),inner2.push(rightNode)}return makeRow(inner2)}});defineFunction(
+{type:"middle",names:["\\middle"],props:{numArgs:1,primitive:!0},handler:(context,args)=>{var delim=checkDelimiter(args[0],context);if(!context.parser.leftrightDepth)throw new ParseError2("\\middle without preceding \\left",delim);return{type:"middle",mode:context.parser.mode,delim:delim.text}},htmlBuilder:(group,options)=>{var middleDelim;if(group.delim===".")middleDelim=makeNullDelimiter(options,[]);else{middleDelim=delimiter.sizedDelim(group.delim,1,options,group.mode,[]);var isMiddle={delim:group.
+delim,options};middleDelim.isMiddle=isMiddle}return middleDelim},mathmlBuilder:(group,options)=>{var textNode=group.delim==="\\vert"||group.delim==="|"?makeText("|","text"):makeText(group.delim,group.mode),middleNode=new mathMLTree.MathNode("mo",[textNode]);return middleNode.setAttribute("fence","true"),middleNode.setAttribute("lspace","0.05em"),middleNode.setAttribute("rspace","0.05em"),middleNode}});var htmlBuilder$7=(group,options)=>{var inner2=buildCommon.wrapFragment(buildGroup$1(group.body,
+options),options),label=group.label.slice(1),scale2=options.sizeMultiplier,img,imgShift=0,isSingleChar=utils.isCharacterBox(group.body);if(label==="sout")img=buildCommon.makeSpan(["stretchy","sout"]),img.height=options.fontMetrics().defaultRuleThickness/scale2,imgShift=-.5*options.fontMetrics().xHeight;else if(label==="phase"){var lineWeight=calculateSize({number:.6,unit:"pt"},options),clearance=calculateSize({number:.35,unit:"ex"},options),newOptions=options.havingBaseSizing();scale2=scale2/newOptions.
+sizeMultiplier;var angleHeight=inner2.height+inner2.depth+lineWeight+clearance;inner2.style.paddingLeft=makeEm(angleHeight/2+lineWeight);var viewBoxHeight=Math.floor(1e3*angleHeight*scale2),path2=phasePath(viewBoxHeight),svgNode=new SvgNode([new PathNode("phase",path2)],{width:"400em",height:makeEm(viewBoxHeight/1e3),viewBox:"0 0 400000 "+viewBoxHeight,preserveAspectRatio:"xMinYMin slice"});img=buildCommon.makeSvgSpan(["hide-tail"],[svgNode],options),img.style.height=makeEm(angleHeight),imgShift=
+inner2.depth+lineWeight+clearance}else{/cancel/.test(label)?isSingleChar||inner2.classes.push("cancel-pad"):label==="angl"?inner2.classes.push("anglpad"):inner2.classes.push("boxpad");var topPad=0,bottomPad=0,ruleThickness=0;/box/.test(label)?(ruleThickness=Math.max(options.fontMetrics().fboxrule,options.minRuleThickness),topPad=options.fontMetrics().fboxsep+(label==="colorbox"?0:ruleThickness),bottomPad=topPad):label==="angl"?(ruleThickness=Math.max(options.fontMetrics().defaultRuleThickness,options.
+minRuleThickness),topPad=4*ruleThickness,bottomPad=Math.max(0,.25-inner2.depth)):(topPad=isSingleChar?.2:0,bottomPad=topPad),img=stretchy.encloseSpan(inner2,label,topPad,bottomPad,options),/fbox|boxed|fcolorbox/.test(label)?(img.style.borderStyle="solid",img.style.borderWidth=makeEm(ruleThickness)):label==="angl"&&ruleThickness!==.049&&(img.style.borderTopWidth=makeEm(ruleThickness),img.style.borderRightWidth=makeEm(ruleThickness)),imgShift=inner2.depth+bottomPad,group.backgroundColor&&(img.style.
+backgroundColor=group.backgroundColor,group.borderColor&&(img.style.borderColor=group.borderColor))}var vlist;if(group.backgroundColor)vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:img,shift:imgShift},{type:"elem",elem:inner2,shift:0}]},options);else{var classes=/cancel|phase/.test(label)?["svg-align"]:[];vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:inner2,shift:0},{type:"elem",elem:img,shift:imgShift,wrapperClasses:classes}]},
+options)}return/cancel/.test(label)&&(vlist.height=inner2.height,vlist.depth=inner2.depth),/cancel/.test(label)&&!isSingleChar?buildCommon.makeSpan(["mord","cancel-lap"],[vlist],options):buildCommon.makeSpan(["mord"],[vlist],options)},mathmlBuilder$6=(group,options)=>{var fboxsep=0,node2=new mathMLTree.MathNode(group.label.indexOf("colorbox")>-1?"mpadded":"menclose",[buildGroup2(group.body,options)]);switch(group.label){case"\\cancel":node2.setAttribute("notation","updiagonalstrike");break;case"\
+\\bcancel":node2.setAttribute("notation","downdiagonalstrike");break;case"\\phase":node2.setAttribute("notation","phasorangle");break;case"\\sout":node2.setAttribute("notation","horizontalstrike");break;case"\\fbox":node2.setAttribute("notation","box");break;case"\\angl":node2.setAttribute("notation","actuarial");break;case"\\fcolorbox":case"\\colorbox":if(fboxsep=options.fontMetrics().fboxsep*options.fontMetrics().ptPerEm,node2.setAttribute("width","+"+2*fboxsep+"pt"),node2.setAttribute("height",
+"+"+2*fboxsep+"pt"),node2.setAttribute("lspace",fboxsep+"pt"),node2.setAttribute("voffset",fboxsep+"pt"),group.label==="\\fcolorbox"){var thk=Math.max(options.fontMetrics().fboxrule,options.minRuleThickness);node2.setAttribute("style","border: "+thk+"em solid "+String(group.borderColor))}break;case"\\xcancel":node2.setAttribute("notation","updiagonalstrike downdiagonalstrike");break}return group.backgroundColor&&node2.setAttribute("mathbackground",group.backgroundColor),node2};defineFunction({type:"\
+enclose",names:["\\colorbox"],props:{numArgs:2,allowedInText:!0,argTypes:["color","text"]},handler(_ref,args,optArgs){var{parser,funcName}=_ref,color=assertNodeType(args[0],"color-token").color,body2=args[1];return{type:"enclose",mode:parser.mode,label:funcName,backgroundColor:color,body:body2}},htmlBuilder:htmlBuilder$7,mathmlBuilder:mathmlBuilder$6});defineFunction({type:"enclose",names:["\\fcolorbox"],props:{numArgs:3,allowedInText:!0,argTypes:["color","color","text"]},handler(_ref2,args,optArgs){
+var{parser,funcName}=_ref2,borderColor=assertNodeType(args[0],"color-token").color,backgroundColor=assertNodeType(args[1],"color-token").color,body2=args[2];return{type:"enclose",mode:parser.mode,label:funcName,backgroundColor,borderColor,body:body2}},htmlBuilder:htmlBuilder$7,mathmlBuilder:mathmlBuilder$6});defineFunction({type:"enclose",names:["\\fbox"],props:{numArgs:1,argTypes:["hbox"],allowedInText:!0},handler(_ref3,args){var{parser}=_ref3;return{type:"enclose",mode:parser.mode,label:"\\fbox",
+body:args[0]}}});defineFunction({type:"enclose",names:["\\cancel","\\bcancel","\\xcancel","\\sout","\\phase"],props:{numArgs:1},handler(_ref4,args){var{parser,funcName}=_ref4,body2=args[0];return{type:"enclose",mode:parser.mode,label:funcName,body:body2}},htmlBuilder:htmlBuilder$7,mathmlBuilder:mathmlBuilder$6});defineFunction({type:"enclose",names:["\\angl"],props:{numArgs:1,argTypes:["hbox"],allowedInText:!1},handler(_ref5,args){var{parser}=_ref5;return{type:"enclose",mode:parser.mode,label:"\\\
+angl",body:args[0]}}});var _environments={};function defineEnvironment(_ref){for(var{type:type2,names:names2,props,handler,htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3}=_ref,data={type:type2,numArgs:props.numArgs||0,allowedInText:!1,numOptionalArgs:0,handler},i=0;i<names2.length;++i)_environments[names2[i]]=data;htmlBuilder3&&(_htmlGroupBuilders[type2]=htmlBuilder3),mathmlBuilder3&&(_mathmlGroupBuilders[type2]=mathmlBuilder3)}var _macros={};function defineMacro(name,body2){_macros[name]=
+body2}function getHLines(parser){var hlineInfo=[];parser.consumeSpaces();var nxt=parser.fetch().text;for(nxt==="\\relax"&&(parser.consume(),parser.consumeSpaces(),nxt=parser.fetch().text);nxt==="\\hline"||nxt==="\\hdashline";)parser.consume(),hlineInfo.push(nxt==="\\hdashline"),parser.consumeSpaces(),nxt=parser.fetch().text;return hlineInfo}var validateAmsEnvironmentContext=context=>{var settings=context.parser.settings;if(!settings.displayMode)throw new ParseError2("{"+context.envName+"} can be\
+ used only in display mode.")};function getAutoTag(name){if(name.indexOf("ed")===-1)return name.indexOf("*")===-1}function parseArray(parser,_ref,style2){var{hskipBeforeAndAfter,addJot,cols,arraystretch,colSeparationType,autoTag,singleRow,emptySingleRow,maxNumCols,leqno}=_ref;if(parser.gullet.beginGroup(),singleRow||parser.gullet.macros.set("\\cr","\\\\\\relax"),!arraystretch){var stretch=parser.gullet.expandMacroAsText("\\arraystretch");if(stretch==null)arraystretch=1;else if(arraystretch=parseFloat(
+stretch),!arraystretch||arraystretch<0)throw new ParseError2("Invalid \\arraystretch: "+stretch)}parser.gullet.beginGroup();var row2=[],body2=[row2],rowGaps=[],hLinesBeforeRow=[],tags=autoTag!=null?[]:void 0;function beginRow(){autoTag&&parser.gullet.macros.set("\\@eqnsw","1",!0)}function endRow(){tags&&(parser.gullet.macros.get("\\df@tag")?(tags.push(parser.subparse([new Token("\\df@tag")])),parser.gullet.macros.set("\\df@tag",void 0,!0)):tags.push(!!autoTag&&parser.gullet.macros.get("\\@eqnsw")===
+"1"))}for(beginRow(),hLinesBeforeRow.push(getHLines(parser));;){var cell2=parser.parseExpression(!1,singleRow?"\\end":"\\\\");parser.gullet.endGroup(),parser.gullet.beginGroup(),cell2={type:"ordgroup",mode:parser.mode,body:cell2},style2&&(cell2={type:"styling",mode:parser.mode,style:style2,body:[cell2]}),row2.push(cell2);var next2=parser.fetch().text;if(next2==="&"){if(maxNumCols&&row2.length===maxNumCols){if(singleRow||colSeparationType)throw new ParseError2("Too many tab characters: &",parser.
+nextToken);parser.settings.reportNonstrict("textEnv","Too few columns specified in the {array} column argument.")}parser.consume()}else if(next2==="\\end"){endRow(),row2.length===1&&cell2.type==="styling"&&cell2.body[0].body.length===0&&(body2.length>1||!emptySingleRow)&&body2.pop(),hLinesBeforeRow.length<body2.length+1&&hLinesBeforeRow.push([]);break}else if(next2==="\\\\"){parser.consume();var size2=void 0;parser.gullet.future().text!==" "&&(size2=parser.parseSizeGroup(!0)),rowGaps.push(size2?
+size2.value:null),endRow(),hLinesBeforeRow.push(getHLines(parser)),row2=[],body2.push(row2),beginRow()}else throw new ParseError2("Expected & or \\\\ or \\cr or \\end",parser.nextToken)}return parser.gullet.endGroup(),parser.gullet.endGroup(),{type:"array",mode:parser.mode,addJot,arraystretch,body:body2,cols,rowGaps,hskipBeforeAndAfter,hLinesBeforeRow,colSeparationType,tags,leqno}}function dCellStyle(envName){return envName.slice(0,1)==="d"?"display":"text"}var htmlBuilder$6=function(group,options){
+var r2,c2,nr=group.body.length,hLinesBeforeRow=group.hLinesBeforeRow,nc=0,body2=new Array(nr),hlines=[],ruleThickness=Math.max(options.fontMetrics().arrayRuleWidth,options.minRuleThickness),pt=1/options.fontMetrics().ptPerEm,arraycolsep=5*pt;if(group.colSeparationType&&group.colSeparationType==="small"){var localMultiplier=options.havingStyle(Style$1.SCRIPT).sizeMultiplier;arraycolsep=.2778*(localMultiplier/options.sizeMultiplier)}var baselineskip=group.colSeparationType==="CD"?calculateSize({number:3,
+unit:"ex"},options):12*pt,jot=3*pt,arrayskip=group.arraystretch*baselineskip,arstrutHeight=.7*arrayskip,arstrutDepth=.3*arrayskip,totalHeight=0;function setHLinePos(hlinesInGap){for(var i=0;i<hlinesInGap.length;++i)i>0&&(totalHeight+=.25),hlines.push({pos:totalHeight,isDashed:hlinesInGap[i]})}for(setHLinePos(hLinesBeforeRow[0]),r2=0;r2<group.body.length;++r2){var inrow=group.body[r2],height=arstrutHeight,depth=arstrutDepth;nc<inrow.length&&(nc=inrow.length);var outrow=new Array(inrow.length);for(c2=
+0;c2<inrow.length;++c2){var elt=buildGroup$1(inrow[c2],options);depth<elt.depth&&(depth=elt.depth),height<elt.height&&(height=elt.height),outrow[c2]=elt}var rowGap=group.rowGaps[r2],gap=0;rowGap&&(gap=calculateSize(rowGap,options),gap>0&&(gap+=arstrutDepth,depth<gap&&(depth=gap),gap=0)),group.addJot&&(depth+=jot),outrow.height=height,outrow.depth=depth,totalHeight+=height,outrow.pos=totalHeight,totalHeight+=depth+gap,body2[r2]=outrow,setHLinePos(hLinesBeforeRow[r2+1])}var offset2=totalHeight/2+options.
+fontMetrics().axisHeight,colDescriptions=group.cols||[],cols=[],colSep,colDescrNum,tagSpans=[];if(group.tags&&group.tags.some(tag2=>tag2))for(r2=0;r2<nr;++r2){var rw=body2[r2],shift2=rw.pos-offset2,tag=group.tags[r2],tagSpan=void 0;tag===!0?tagSpan=buildCommon.makeSpan(["eqn-num"],[],options):tag===!1?tagSpan=buildCommon.makeSpan([],[],options):tagSpan=buildCommon.makeSpan([],buildExpression$1(tag,options,!0),options),tagSpan.depth=rw.depth,tagSpan.height=rw.height,tagSpans.push({type:"elem",elem:tagSpan,
+shift:shift2})}for(c2=0,colDescrNum=0;c2<nc||colDescrNum<colDescriptions.length;++c2,++colDescrNum){for(var colDescr=colDescriptions[colDescrNum]||{},firstSeparator=!0;colDescr.type==="separator";){if(firstSeparator||(colSep=buildCommon.makeSpan(["arraycolsep"],[]),colSep.style.width=makeEm(options.fontMetrics().doubleRuleSep),cols.push(colSep)),colDescr.separator==="|"||colDescr.separator===":"){var lineType=colDescr.separator==="|"?"solid":"dashed",separator=buildCommon.makeSpan(["vertical-sep\
+arator"],[],options);separator.style.height=makeEm(totalHeight),separator.style.borderRightWidth=makeEm(ruleThickness),separator.style.borderRightStyle=lineType,separator.style.margin="0 "+makeEm(-ruleThickness/2);var _shift=totalHeight-offset2;_shift&&(separator.style.verticalAlign=makeEm(-_shift)),cols.push(separator)}else throw new ParseError2("Invalid separator type: "+colDescr.separator);colDescrNum++,colDescr=colDescriptions[colDescrNum]||{},firstSeparator=!1}if(!(c2>=nc)){var sepwidth=void 0;
+(c2>0||group.hskipBeforeAndAfter)&&(sepwidth=utils.deflt(colDescr.pregap,arraycolsep),sepwidth!==0&&(colSep=buildCommon.makeSpan(["arraycolsep"],[]),colSep.style.width=makeEm(sepwidth),cols.push(colSep)));var col=[];for(r2=0;r2<nr;++r2){var row2=body2[r2],elem=row2[c2];if(elem){var _shift2=row2.pos-offset2;elem.depth=row2.depth,elem.height=row2.height,col.push({type:"elem",elem,shift:_shift2})}}col=buildCommon.makeVList({positionType:"individualShift",children:col},options),col=buildCommon.makeSpan(
+["col-align-"+(colDescr.align||"c")],[col]),cols.push(col),(c2<nc-1||group.hskipBeforeAndAfter)&&(sepwidth=utils.deflt(colDescr.postgap,arraycolsep),sepwidth!==0&&(colSep=buildCommon.makeSpan(["arraycolsep"],[]),colSep.style.width=makeEm(sepwidth),cols.push(colSep)))}}if(body2=buildCommon.makeSpan(["mtable"],cols),hlines.length>0){for(var line=buildCommon.makeLineSpan("hline",options,ruleThickness),dashes=buildCommon.makeLineSpan("hdashline",options,ruleThickness),vListElems=[{type:"elem",elem:body2,
+shift:0}];hlines.length>0;){var hline=hlines.pop(),lineShift=hline.pos-offset2;hline.isDashed?vListElems.push({type:"elem",elem:dashes,shift:lineShift}):vListElems.push({type:"elem",elem:line,shift:lineShift})}body2=buildCommon.makeVList({positionType:"individualShift",children:vListElems},options)}if(tagSpans.length===0)return buildCommon.makeSpan(["mord"],[body2],options);var eqnNumCol=buildCommon.makeVList({positionType:"individualShift",children:tagSpans},options);return eqnNumCol=buildCommon.
+makeSpan(["tag"],[eqnNumCol],options),buildCommon.makeFragment([body2,eqnNumCol])},alignMap={c:"center ",l:"left ",r:"right "},mathmlBuilder$5=function(group,options){for(var tbl=[],glue=new mathMLTree.MathNode("mtd",[],["mtr-glue"]),tag=new mathMLTree.MathNode("mtd",[],["mml-eqn-num"]),i=0;i<group.body.length;i++){for(var rw=group.body[i],row2=[],j=0;j<rw.length;j++)row2.push(new mathMLTree.MathNode("mtd",[buildGroup2(rw[j],options)]));group.tags&&group.tags[i]&&(row2.unshift(glue),row2.push(glue),
+group.leqno?row2.unshift(tag):row2.push(tag)),tbl.push(new mathMLTree.MathNode("mtr",row2))}var table2=new mathMLTree.MathNode("mtable",tbl),gap=group.arraystretch===.5?.1:.16+group.arraystretch-1+(group.addJot?.09:0);table2.setAttribute("rowspacing",makeEm(gap));var menclose="",align="";if(group.cols&&group.cols.length>0){var cols=group.cols,columnLines="",prevTypeWasAlign=!1,iStart=0,iEnd=cols.length;cols[0].type==="separator"&&(menclose+="top ",iStart=1),cols[cols.length-1].type==="separator"&&
+(menclose+="bottom ",iEnd-=1);for(var _i=iStart;_i<iEnd;_i++)cols[_i].type==="align"?(align+=alignMap[cols[_i].align],prevTypeWasAlign&&(columnLines+="none "),prevTypeWasAlign=!0):cols[_i].type==="separator"&&prevTypeWasAlign&&(columnLines+=cols[_i].separator==="|"?"solid ":"dashed ",prevTypeWasAlign=!1);table2.setAttribute("columnalign",align.trim()),/[sd]/.test(columnLines)&&table2.setAttribute("columnlines",columnLines.trim())}if(group.colSeparationType==="align"){for(var _cols=group.cols||[],
+spacing2="",_i2=1;_i2<_cols.length;_i2++)spacing2+=_i2%2?"0em ":"1em ";table2.setAttribute("columnspacing",spacing2.trim())}else group.colSeparationType==="alignat"||group.colSeparationType==="gather"?table2.setAttribute("columnspacing","0em"):group.colSeparationType==="small"?table2.setAttribute("columnspacing","0.2778em"):group.colSeparationType==="CD"?table2.setAttribute("columnspacing","0.5em"):table2.setAttribute("columnspacing","1em");var rowLines="",hlines=group.hLinesBeforeRow;menclose+=
+hlines[0].length>0?"left ":"",menclose+=hlines[hlines.length-1].length>0?"right ":"";for(var _i3=1;_i3<hlines.length-1;_i3++)rowLines+=hlines[_i3].length===0?"none ":hlines[_i3][0]?"dashed ":"solid ";return/[sd]/.test(rowLines)&&table2.setAttribute("rowlines",rowLines.trim()),menclose!==""&&(table2=new mathMLTree.MathNode("menclose",[table2]),table2.setAttribute("notation",menclose.trim())),group.arraystretch&&group.arraystretch<1&&(table2=new mathMLTree.MathNode("mstyle",[table2]),table2.setAttribute(
+"scriptlevel","1")),table2},alignedHandler=function(context,args){context.envName.indexOf("ed")===-1&&validateAmsEnvironmentContext(context);var cols=[],separationType=context.envName.indexOf("at")>-1?"alignat":"align",isSplit=context.envName==="split",res=parseArray(context.parser,{cols,addJot:!0,autoTag:isSplit?void 0:getAutoTag(context.envName),emptySingleRow:!0,colSeparationType:separationType,maxNumCols:isSplit?2:void 0,leqno:context.parser.settings.leqno},"display"),numMaths,numCols=0,emptyGroup={
+type:"ordgroup",mode:context.mode,body:[]};if(args[0]&&args[0].type==="ordgroup"){for(var arg0="",i=0;i<args[0].body.length;i++){var textord2=assertNodeType(args[0].body[i],"textord");arg0+=textord2.text}numMaths=Number(arg0),numCols=numMaths*2}var isAligned=!numCols;res.body.forEach(function(row2){for(var _i4=1;_i4<row2.length;_i4+=2){var styling=assertNodeType(row2[_i4],"styling"),ordgroup=assertNodeType(styling.body[0],"ordgroup");ordgroup.body.unshift(emptyGroup)}if(isAligned)numCols<row2.length&&
+(numCols=row2.length);else{var curMaths=row2.length/2;if(numMaths<curMaths)throw new ParseError2("Too many math in a row: "+("expected "+numMaths+", but got "+curMaths),row2[0])}});for(var _i5=0;_i5<numCols;++_i5){var align="r",pregap=0;_i5%2===1?align="l":_i5>0&&isAligned&&(pregap=1),cols[_i5]={type:"align",align,pregap,postgap:0}}return res.colSeparationType=isAligned?"align":"alignat",res};defineEnvironment({type:"array",names:["array","darray"],props:{numArgs:1},handler(context,args){var symNode=checkSymbolNodeType(
+args[0]),colalign=symNode?[args[0]]:assertNodeType(args[0],"ordgroup").body,cols=colalign.map(function(nde){var node2=assertSymbolNodeType(nde),ca=node2.text;if("lcr".indexOf(ca)!==-1)return{type:"align",align:ca};if(ca==="|")return{type:"separator",separator:"|"};if(ca===":")return{type:"separator",separator:":"};throw new ParseError2("Unknown column alignment: "+ca,nde)}),res={cols,hskipBeforeAndAfter:!0,maxNumCols:cols.length};return parseArray(context.parser,res,dCellStyle(context.envName))},
+htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["matrix","pmatrix","bmatrix","Bmatrix","vmatrix","Vmatrix","matrix*","pmatrix*","bmatrix*","Bmatrix*","vmatrix*","Vmatrix*"],props:{numArgs:0},handler(context){var delimiters2={matrix:null,pmatrix:["(",")"],bmatrix:["[","]"],Bmatrix:["\\{","\\}"],vmatrix:["|","|"],Vmatrix:["\\Vert","\\Vert"]}[context.envName.replace("*","")],colAlign="c",payload={hskipBeforeAndAfter:!1,cols:[{type:"align",align:colAlign}]};
+if(context.envName.charAt(context.envName.length-1)==="*"){var parser=context.parser;if(parser.consumeSpaces(),parser.fetch().text==="["){if(parser.consume(),parser.consumeSpaces(),colAlign=parser.fetch().text,"lcr".indexOf(colAlign)===-1)throw new ParseError2("Expected l or c or r",parser.nextToken);parser.consume(),parser.consumeSpaces(),parser.expect("]"),parser.consume(),payload.cols=[{type:"align",align:colAlign}]}}var res=parseArray(context.parser,payload,dCellStyle(context.envName)),numCols=Math.
+max(0,...res.body.map(row2=>row2.length));return res.cols=new Array(numCols).fill({type:"align",align:colAlign}),delimiters2?{type:"leftright",mode:context.mode,body:[res],left:delimiters2[0],right:delimiters2[1],rightColor:void 0}:res},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["smallmatrix"],props:{numArgs:0},handler(context){var payload={arraystretch:.5},res=parseArray(context.parser,payload,"script");return res.colSeparationType="small",res},
+htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["subarray"],props:{numArgs:1},handler(context,args){var symNode=checkSymbolNodeType(args[0]),colalign=symNode?[args[0]]:assertNodeType(args[0],"ordgroup").body,cols=colalign.map(function(nde){var node2=assertSymbolNodeType(nde),ca=node2.text;if("lc".indexOf(ca)!==-1)return{type:"align",align:ca};throw new ParseError2("Unknown column alignment: "+ca,nde)});if(cols.length>1)throw new ParseError2("{suba\
+rray} can contain only one column");var res={cols,hskipBeforeAndAfter:!1,arraystretch:.5};if(res=parseArray(context.parser,res,"script"),res.body.length>0&&res.body[0].length>1)throw new ParseError2("{subarray} can contain only one column");return res},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["cases","dcases","rcases","drcases"],props:{numArgs:0},handler(context){var payload={arraystretch:1.2,cols:[{type:"align",align:"l",pregap:0,postgap:1},
+{type:"align",align:"l",pregap:0,postgap:0}]},res=parseArray(context.parser,payload,dCellStyle(context.envName));return{type:"leftright",mode:context.mode,body:[res],left:context.envName.indexOf("r")>-1?".":"\\{",right:context.envName.indexOf("r")>-1?"\\}":".",rightColor:void 0}},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["align","align*","aligned","split"],props:{numArgs:0},handler:alignedHandler,htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});
+defineEnvironment({type:"array",names:["gathered","gather","gather*"],props:{numArgs:0},handler(context){utils.contains(["gather","gather*"],context.envName)&&validateAmsEnvironmentContext(context);var res={cols:[{type:"align",align:"c"}],addJot:!0,colSeparationType:"gather",autoTag:getAutoTag(context.envName),emptySingleRow:!0,leqno:context.parser.settings.leqno};return parseArray(context.parser,res,"display")},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"a\
+rray",names:["alignat","alignat*","alignedat"],props:{numArgs:1},handler:alignedHandler,htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["equation","equation*"],props:{numArgs:0},handler(context){validateAmsEnvironmentContext(context);var res={autoTag:getAutoTag(context.envName),emptySingleRow:!0,singleRow:!0,maxNumCols:1,leqno:context.parser.settings.leqno};return parseArray(context.parser,res,"display")},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});
+defineEnvironment({type:"array",names:["CD"],props:{numArgs:0},handler(context){return validateAmsEnvironmentContext(context),parseCD(context.parser)},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineMacro("\\nonumber","\\gdef\\@eqnsw{0}");defineMacro("\\notag","\\nonumber");defineFunction({type:"text",names:["\\hline","\\hdashline"],props:{numArgs:0,allowedInText:!0,allowedInMath:!0},handler(context,args){throw new ParseError2(context.funcName+" valid only within array environmen\
+t")}});var environments=_environments;defineFunction({type:"environment",names:["\\begin","\\end"],props:{numArgs:1,argTypes:["text"]},handler(_ref,args){var{parser,funcName}=_ref,nameGroup=args[0];if(nameGroup.type!=="ordgroup")throw new ParseError2("Invalid environment name",nameGroup);for(var envName="",i=0;i<nameGroup.body.length;++i)envName+=assertNodeType(nameGroup.body[i],"textord").text;if(funcName==="\\begin"){if(!environments.hasOwnProperty(envName))throw new ParseError2("No such envir\
+onment: "+envName,nameGroup);var env2=environments[envName],{args:_args,optArgs}=parser.parseArguments("\\begin{"+envName+"}",env2),context={mode:parser.mode,envName,parser},result=env2.handler(context,_args,optArgs);parser.expect("\\end",!1);var endNameToken=parser.nextToken,end=assertNodeType(parser.parseFunction(),"environment");if(end.name!==envName)throw new ParseError2("Mismatch: \\begin{"+envName+"} matched by \\end{"+end.name+"}",endNameToken);return result}return{type:"environment",mode:parser.
+mode,name:envName,nameGroup}}});var htmlBuilder$5=(group,options)=>{var font=group.font,newOptions=options.withFont(font);return buildGroup$1(group.body,newOptions)},mathmlBuilder$4=(group,options)=>{var font=group.font,newOptions=options.withFont(font);return buildGroup2(group.body,newOptions)},fontAliases={"\\Bbb":"\\mathbb","\\bold":"\\mathbf","\\frak":"\\mathfrak","\\bm":"\\boldsymbol"};defineFunction({type:"font",names:["\\mathrm","\\mathit","\\mathbf","\\mathnormal","\\mathsfit","\\mathbb",
+"\\mathcal","\\mathfrak","\\mathscr","\\mathsf","\\mathtt","\\Bbb","\\bold","\\frak"],props:{numArgs:1,allowedInArgument:!0},handler:(_ref,args)=>{var{parser,funcName}=_ref,body2=normalizeArgument(args[0]),func=funcName;return func in fontAliases&&(func=fontAliases[func]),{type:"font",mode:parser.mode,font:func.slice(1),body:body2}},htmlBuilder:htmlBuilder$5,mathmlBuilder:mathmlBuilder$4});defineFunction({type:"mclass",names:["\\boldsymbol","\\bm"],props:{numArgs:1},handler:(_ref2,args)=>{var{parser}=_ref2,
+body2=args[0],isCharacterBox3=utils.isCharacterBox(body2);return{type:"mclass",mode:parser.mode,mclass:binrelClass(body2),body:[{type:"font",mode:parser.mode,font:"boldsymbol",body:body2}],isCharacterBox:isCharacterBox3}}});defineFunction({type:"font",names:["\\rm","\\sf","\\tt","\\bf","\\it","\\cal"],props:{numArgs:0,allowedInText:!0},handler:(_ref3,args)=>{var{parser,funcName,breakOnTokenText}=_ref3,{mode}=parser,body2=parser.parseExpression(!0,breakOnTokenText),style2="math"+funcName.slice(1);
+return{type:"font",mode,font:style2,body:{type:"ordgroup",mode:parser.mode,body:body2}}},htmlBuilder:htmlBuilder$5,mathmlBuilder:mathmlBuilder$4});var adjustStyle=(size2,originalStyle)=>{var style2=originalStyle;return size2==="display"?style2=style2.id>=Style$1.SCRIPT.id?style2.text():Style$1.DISPLAY:size2==="text"&&style2.size===Style$1.DISPLAY.size?style2=Style$1.TEXT:size2==="script"?style2=Style$1.SCRIPT:size2==="scriptscript"&&(style2=Style$1.SCRIPTSCRIPT),style2},htmlBuilder$4=(group,options)=>{
+var style2=adjustStyle(group.size,options.style),nstyle=style2.fracNum(),dstyle=style2.fracDen(),newOptions;newOptions=options.havingStyle(nstyle);var numerm=buildGroup$1(group.numer,newOptions,options);if(group.continued){var hStrut=8.5/options.fontMetrics().ptPerEm,dStrut=3.5/options.fontMetrics().ptPerEm;numerm.height=numerm.height<hStrut?hStrut:numerm.height,numerm.depth=numerm.depth<dStrut?dStrut:numerm.depth}newOptions=options.havingStyle(dstyle);var denomm=buildGroup$1(group.denom,newOptions,
+options),rule,ruleWidth,ruleSpacing;group.hasBarLine?(group.barSize?(ruleWidth=calculateSize(group.barSize,options),rule=buildCommon.makeLineSpan("frac-line",options,ruleWidth)):rule=buildCommon.makeLineSpan("frac-line",options),ruleWidth=rule.height,ruleSpacing=rule.height):(rule=null,ruleWidth=0,ruleSpacing=options.fontMetrics().defaultRuleThickness);var numShift,clearance,denomShift;style2.size===Style$1.DISPLAY.size||group.size==="display"?(numShift=options.fontMetrics().num1,ruleWidth>0?clearance=
+3*ruleSpacing:clearance=7*ruleSpacing,denomShift=options.fontMetrics().denom1):(ruleWidth>0?(numShift=options.fontMetrics().num2,clearance=ruleSpacing):(numShift=options.fontMetrics().num3,clearance=3*ruleSpacing),denomShift=options.fontMetrics().denom2);var frac2;if(rule){var axisHeight=options.fontMetrics().axisHeight;numShift-numerm.depth-(axisHeight+.5*ruleWidth)<clearance&&(numShift+=clearance-(numShift-numerm.depth-(axisHeight+.5*ruleWidth))),axisHeight-.5*ruleWidth-(denomm.height-denomShift)<
+clearance&&(denomShift+=clearance-(axisHeight-.5*ruleWidth-(denomm.height-denomShift)));var midShift=-(axisHeight-.5*ruleWidth);frac2=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:denomm,shift:denomShift},{type:"elem",elem:rule,shift:midShift},{type:"elem",elem:numerm,shift:-numShift}]},options)}else{var candidateClearance=numShift-numerm.depth-(denomm.height-denomShift);candidateClearance<clearance&&(numShift+=.5*(clearance-candidateClearance),denomShift+=.5*
+(clearance-candidateClearance)),frac2=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:denomm,shift:denomShift},{type:"elem",elem:numerm,shift:-numShift}]},options)}newOptions=options.havingStyle(style2),frac2.height*=newOptions.sizeMultiplier/options.sizeMultiplier,frac2.depth*=newOptions.sizeMultiplier/options.sizeMultiplier;var delimSize;style2.size===Style$1.DISPLAY.size?delimSize=options.fontMetrics().delim1:style2.size===Style$1.SCRIPTSCRIPT.size?delimSize=
+options.havingStyle(Style$1.SCRIPT).fontMetrics().delim2:delimSize=options.fontMetrics().delim2;var leftDelim,rightDelim;return group.leftDelim==null?leftDelim=makeNullDelimiter(options,["mopen"]):leftDelim=delimiter.customSizedDelim(group.leftDelim,delimSize,!0,options.havingStyle(style2),group.mode,["mopen"]),group.continued?rightDelim=buildCommon.makeSpan([]):group.rightDelim==null?rightDelim=makeNullDelimiter(options,["mclose"]):rightDelim=delimiter.customSizedDelim(group.rightDelim,delimSize,
+!0,options.havingStyle(style2),group.mode,["mclose"]),buildCommon.makeSpan(["mord"].concat(newOptions.sizingClasses(options)),[leftDelim,buildCommon.makeSpan(["mfrac"],[frac2]),rightDelim],options)},mathmlBuilder$3=(group,options)=>{var node2=new mathMLTree.MathNode("mfrac",[buildGroup2(group.numer,options),buildGroup2(group.denom,options)]);if(!group.hasBarLine)node2.setAttribute("linethickness","0px");else if(group.barSize){var ruleWidth=calculateSize(group.barSize,options);node2.setAttribute(
+"linethickness",makeEm(ruleWidth))}var style2=adjustStyle(group.size,options.style);if(style2.size!==options.style.size){node2=new mathMLTree.MathNode("mstyle",[node2]);var isDisplay=style2.size===Style$1.DISPLAY.size?"true":"false";node2.setAttribute("displaystyle",isDisplay),node2.setAttribute("scriptlevel","0")}if(group.leftDelim!=null||group.rightDelim!=null){var withDelims=[];if(group.leftDelim!=null){var leftOp=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode(group.leftDelim.replace("\
+\\",""))]);leftOp.setAttribute("fence","true"),withDelims.push(leftOp)}if(withDelims.push(node2),group.rightDelim!=null){var rightOp=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode(group.rightDelim.replace("\\",""))]);rightOp.setAttribute("fence","true"),withDelims.push(rightOp)}return makeRow(withDelims)}return node2};defineFunction({type:"genfrac",names:["\\dfrac","\\frac","\\tfrac","\\dbinom","\\binom","\\tbinom","\\\\atopfrac","\\\\bracefrac","\\\\brackfrac"],props:{numArgs:2,allowedInArgument:!0},
+handler:(_ref,args)=>{var{parser,funcName}=_ref,numer=args[0],denom=args[1],hasBarLine,leftDelim=null,rightDelim=null,size2="auto";switch(funcName){case"\\dfrac":case"\\frac":case"\\tfrac":hasBarLine=!0;break;case"\\\\atopfrac":hasBarLine=!1;break;case"\\dbinom":case"\\binom":case"\\tbinom":hasBarLine=!1,leftDelim="(",rightDelim=")";break;case"\\\\bracefrac":hasBarLine=!1,leftDelim="\\{",rightDelim="\\}";break;case"\\\\brackfrac":hasBarLine=!1,leftDelim="[",rightDelim="]";break;default:throw new Error(
+"Unrecognized genfrac command")}switch(funcName){case"\\dfrac":case"\\dbinom":size2="display";break;case"\\tfrac":case"\\tbinom":size2="text";break}return{type:"genfrac",mode:parser.mode,continued:!1,numer,denom,hasBarLine,leftDelim,rightDelim,size:size2,barSize:null}},htmlBuilder:htmlBuilder$4,mathmlBuilder:mathmlBuilder$3});defineFunction({type:"genfrac",names:["\\cfrac"],props:{numArgs:2},handler:(_ref2,args)=>{var{parser,funcName}=_ref2,numer=args[0],denom=args[1];return{type:"genfrac",mode:parser.
+mode,continued:!0,numer,denom,hasBarLine:!0,leftDelim:null,rightDelim:null,size:"display",barSize:null}}});defineFunction({type:"infix",names:["\\over","\\choose","\\atop","\\brace","\\brack"],props:{numArgs:0,infix:!0},handler(_ref3){var{parser,funcName,token:token2}=_ref3,replaceWith;switch(funcName){case"\\over":replaceWith="\\frac";break;case"\\choose":replaceWith="\\binom";break;case"\\atop":replaceWith="\\\\atopfrac";break;case"\\brace":replaceWith="\\\\bracefrac";break;case"\\brack":replaceWith=
+"\\\\brackfrac";break;default:throw new Error("Unrecognized infix genfrac command")}return{type:"infix",mode:parser.mode,replaceWith,token:token2}}});var stylArray=["display","text","script","scriptscript"],delimFromValue=function(delimString){var delim=null;return delimString.length>0&&(delim=delimString,delim=delim==="."?null:delim),delim};defineFunction({type:"genfrac",names:["\\genfrac"],props:{numArgs:6,allowedInArgument:!0,argTypes:["math","math","size","text","math","math"]},handler(_ref4,args){
+var{parser}=_ref4,numer=args[4],denom=args[5],leftNode=normalizeArgument(args[0]),leftDelim=leftNode.type==="atom"&&leftNode.family==="open"?delimFromValue(leftNode.text):null,rightNode=normalizeArgument(args[1]),rightDelim=rightNode.type==="atom"&&rightNode.family==="close"?delimFromValue(rightNode.text):null,barNode=assertNodeType(args[2],"size"),hasBarLine,barSize=null;barNode.isBlank?hasBarLine=!0:(barSize=barNode.value,hasBarLine=barSize.number>0);var size2="auto",styl=args[3];if(styl.type===
+"ordgroup"){if(styl.body.length>0){var textOrd=assertNodeType(styl.body[0],"textord");size2=stylArray[Number(textOrd.text)]}}else styl=assertNodeType(styl,"textord"),size2=stylArray[Number(styl.text)];return{type:"genfrac",mode:parser.mode,numer,denom,continued:!1,hasBarLine,barSize,leftDelim,rightDelim,size:size2}},htmlBuilder:htmlBuilder$4,mathmlBuilder:mathmlBuilder$3});defineFunction({type:"infix",names:["\\above"],props:{numArgs:1,argTypes:["size"],infix:!0},handler(_ref5,args){var{parser,funcName,
+token:token2}=_ref5;return{type:"infix",mode:parser.mode,replaceWith:"\\\\abovefrac",size:assertNodeType(args[0],"size").value,token:token2}}});defineFunction({type:"genfrac",names:["\\\\abovefrac"],props:{numArgs:3,argTypes:["math","size","math"]},handler:(_ref6,args)=>{var{parser,funcName}=_ref6,numer=args[0],barSize=assert(assertNodeType(args[1],"infix").size),denom=args[2],hasBarLine=barSize.number>0;return{type:"genfrac",mode:parser.mode,numer,denom,continued:!1,hasBarLine,barSize,leftDelim:null,
+rightDelim:null,size:"auto"}},htmlBuilder:htmlBuilder$4,mathmlBuilder:mathmlBuilder$3});var htmlBuilder$3=(grp,options)=>{var style2=options.style,supSubGroup,group;grp.type==="supsub"?(supSubGroup=grp.sup?buildGroup$1(grp.sup,options.havingStyle(style2.sup()),options):buildGroup$1(grp.sub,options.havingStyle(style2.sub()),options),group=assertNodeType(grp.base,"horizBrace")):group=assertNodeType(grp,"horizBrace");var body2=buildGroup$1(group.base,options.havingBaseStyle(Style$1.DISPLAY)),braceBody=stretchy.
+svgSpan(group,options),vlist;if(group.isOver?(vlist=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:body2},{type:"kern",size:.1},{type:"elem",elem:braceBody}]},options),vlist.children[0].children[0].children[1].classes.push("svg-align")):(vlist=buildCommon.makeVList({positionType:"bottom",positionData:body2.depth+.1+braceBody.height,children:[{type:"elem",elem:braceBody},{type:"kern",size:.1},{type:"elem",elem:body2}]},options),vlist.children[0].children[0].children[0].
+classes.push("svg-align")),supSubGroup){var vSpan=buildCommon.makeSpan(["mord",group.isOver?"mover":"munder"],[vlist],options);group.isOver?vlist=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:vSpan},{type:"kern",size:.2},{type:"elem",elem:supSubGroup}]},options):vlist=buildCommon.makeVList({positionType:"bottom",positionData:vSpan.depth+.2+supSubGroup.height+supSubGroup.depth,children:[{type:"elem",elem:supSubGroup},{type:"kern",size:.2},{type:"elem",elem:vSpan}]},
+options)}return buildCommon.makeSpan(["mord",group.isOver?"mover":"munder"],[vlist],options)},mathmlBuilder$2=(group,options)=>{var accentNode=stretchy.mathMLnode(group.label);return new mathMLTree.MathNode(group.isOver?"mover":"munder",[buildGroup2(group.base,options),accentNode])};defineFunction({type:"horizBrace",names:["\\overbrace","\\underbrace"],props:{numArgs:1},handler(_ref,args){var{parser,funcName}=_ref;return{type:"horizBrace",mode:parser.mode,label:funcName,isOver:/^\\over/.test(funcName),
+base:args[0]}},htmlBuilder:htmlBuilder$3,mathmlBuilder:mathmlBuilder$2});defineFunction({type:"href",names:["\\href"],props:{numArgs:2,argTypes:["url","original"],allowedInText:!0},handler:(_ref,args)=>{var{parser}=_ref,body2=args[1],href=assertNodeType(args[0],"url").url;return parser.settings.isTrusted({command:"\\href",url:href})?{type:"href",mode:parser.mode,href,body:ordargument(body2)}:parser.formatUnsupportedCmd("\\href")},htmlBuilder:(group,options)=>{var elements=buildExpression$1(group.
+body,options,!1);return buildCommon.makeAnchor(group.href,[],elements,options)},mathmlBuilder:(group,options)=>{var math2=buildExpressionRow(group.body,options);return math2 instanceof MathNode||(math2=new MathNode("mrow",[math2])),math2.setAttribute("href",group.href),math2}});defineFunction({type:"href",names:["\\url"],props:{numArgs:1,argTypes:["url"],allowedInText:!0},handler:(_ref2,args)=>{var{parser}=_ref2,href=assertNodeType(args[0],"url").url;if(!parser.settings.isTrusted({command:"\\url",
+url:href}))return parser.formatUnsupportedCmd("\\url");for(var chars=[],i=0;i<href.length;i++){var c2=href[i];c2==="~"&&(c2="\\textasciitilde"),chars.push({type:"textord",mode:"text",text:c2})}var body2={type:"text",mode:parser.mode,font:"\\texttt",body:chars};return{type:"href",mode:parser.mode,href,body:ordargument(body2)}}});defineFunction({type:"hbox",names:["\\hbox"],props:{numArgs:1,argTypes:["text"],allowedInText:!0,primitive:!0},handler(_ref,args){var{parser}=_ref;return{type:"hbox",mode:parser.
+mode,body:ordargument(args[0])}},htmlBuilder(group,options){var elements=buildExpression$1(group.body,options,!1);return buildCommon.makeFragment(elements)},mathmlBuilder(group,options){return new mathMLTree.MathNode("mrow",buildExpression2(group.body,options))}});defineFunction({type:"html",names:["\\htmlClass","\\htmlId","\\htmlStyle","\\htmlData"],props:{numArgs:2,argTypes:["raw","original"],allowedInText:!0},handler:(_ref,args)=>{var{parser,funcName,token:token2}=_ref,value=assertNodeType(args[0],
+"raw").string,body2=args[1];parser.settings.strict&&parser.settings.reportNonstrict("htmlExtension","HTML extension is disabled on strict mode");var trustContext,attributes={};switch(funcName){case"\\htmlClass":attributes.class=value,trustContext={command:"\\htmlClass",class:value};break;case"\\htmlId":attributes.id=value,trustContext={command:"\\htmlId",id:value};break;case"\\htmlStyle":attributes.style=value,trustContext={command:"\\htmlStyle",style:value};break;case"\\htmlData":{for(var data=value.
+split(","),i=0;i<data.length;i++){var keyVal=data[i].split("=");if(keyVal.length!==2)throw new ParseError2("Error parsing key-value for \\htmlData");attributes["data-"+keyVal[0].trim()]=keyVal[1].trim()}trustContext={command:"\\htmlData",attributes};break}default:throw new Error("Unrecognized html command")}return parser.settings.isTrusted(trustContext)?{type:"html",mode:parser.mode,attributes,body:ordargument(body2)}:parser.formatUnsupportedCmd(funcName)},htmlBuilder:(group,options)=>{var elements=buildExpression$1(
+group.body,options,!1),classes=["enclosing"];group.attributes.class&&classes.push(...group.attributes.class.trim().split(/\s+/));var span=buildCommon.makeSpan(classes,elements,options);for(var attr in group.attributes)attr!=="class"&&group.attributes.hasOwnProperty(attr)&&span.setAttribute(attr,group.attributes[attr]);return span},mathmlBuilder:(group,options)=>buildExpressionRow(group.body,options)});defineFunction({type:"htmlmathml",names:["\\html@mathml"],props:{numArgs:2,allowedInText:!0},handler:(_ref,args)=>{
+var{parser}=_ref;return{type:"htmlmathml",mode:parser.mode,html:ordargument(args[0]),mathml:ordargument(args[1])}},htmlBuilder:(group,options)=>{var elements=buildExpression$1(group.html,options,!1);return buildCommon.makeFragment(elements)},mathmlBuilder:(group,options)=>buildExpressionRow(group.mathml,options)});var sizeData=function(str){if(/^[-+]? *(\d+(\.\d*)?|\.\d+)$/.test(str))return{number:+str,unit:"bp"};var match=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(str);if(!match)throw new ParseError2(
+"Invalid size: '"+str+"' in \\includegraphics");var data={number:+(match[1]+match[2]),unit:match[3]};if(!validUnit(data))throw new ParseError2("Invalid unit: '"+data.unit+"' in \\includegraphics.");return data};defineFunction({type:"includegraphics",names:["\\includegraphics"],props:{numArgs:1,numOptionalArgs:1,argTypes:["raw","url"],allowedInText:!1},handler:(_ref,args,optArgs)=>{var{parser}=_ref,width={number:0,unit:"em"},height={number:.9,unit:"em"},totalheight={number:0,unit:"em"},alt="";if(optArgs[0])
+for(var attributeStr=assertNodeType(optArgs[0],"raw").string,attributes=attributeStr.split(","),i=0;i<attributes.length;i++){var keyVal=attributes[i].split("=");if(keyVal.length===2){var str=keyVal[1].trim();switch(keyVal[0].trim()){case"alt":alt=str;break;case"width":width=sizeData(str);break;case"height":height=sizeData(str);break;case"totalheight":totalheight=sizeData(str);break;default:throw new ParseError2("Invalid key: '"+keyVal[0]+"' in \\includegraphics.")}}}var src=assertNodeType(args[0],
+"url").url;return alt===""&&(alt=src,alt=alt.replace(/^.*[\\/]/,""),alt=alt.substring(0,alt.lastIndexOf("."))),parser.settings.isTrusted({command:"\\includegraphics",url:src})?{type:"includegraphics",mode:parser.mode,alt,width,height,totalheight,src}:parser.formatUnsupportedCmd("\\includegraphics")},htmlBuilder:(group,options)=>{var height=calculateSize(group.height,options),depth=0;group.totalheight.number>0&&(depth=calculateSize(group.totalheight,options)-height);var width=0;group.width.number>
+0&&(width=calculateSize(group.width,options));var style2={height:makeEm(height+depth)};width>0&&(style2.width=makeEm(width)),depth>0&&(style2.verticalAlign=makeEm(-depth));var node2=new Img(group.src,group.alt,style2);return node2.height=height,node2.depth=depth,node2},mathmlBuilder:(group,options)=>{var node2=new mathMLTree.MathNode("mglyph",[]);node2.setAttribute("alt",group.alt);var height=calculateSize(group.height,options),depth=0;if(group.totalheight.number>0&&(depth=calculateSize(group.totalheight,
+options)-height,node2.setAttribute("valign",makeEm(-depth))),node2.setAttribute("height",makeEm(height+depth)),group.width.number>0){var width=calculateSize(group.width,options);node2.setAttribute("width",makeEm(width))}return node2.setAttribute("src",group.src),node2}});defineFunction({type:"kern",names:["\\kern","\\mkern","\\hskip","\\mskip"],props:{numArgs:1,argTypes:["size"],primitive:!0,allowedInText:!0},handler(_ref,args){var{parser,funcName}=_ref,size2=assertNodeType(args[0],"size");if(parser.
+settings.strict){var mathFunction=funcName[1]==="m",muUnit=size2.value.unit==="mu";mathFunction?(muUnit||parser.settings.reportNonstrict("mathVsTextUnits","LaTeX's "+funcName+" supports only mu units, "+("not "+size2.value.unit+" units")),parser.mode!=="math"&&parser.settings.reportNonstrict("mathVsTextUnits","LaTeX's "+funcName+" works only in math mode")):muUnit&&parser.settings.reportNonstrict("mathVsTextUnits","LaTeX's "+funcName+" doesn't support mu units")}return{type:"kern",mode:parser.mode,
+dimension:size2.value}},htmlBuilder(group,options){return buildCommon.makeGlue(group.dimension,options)},mathmlBuilder(group,options){var dimension=calculateSize(group.dimension,options);return new mathMLTree.SpaceNode(dimension)}});defineFunction({type:"lap",names:["\\mathllap","\\mathrlap","\\mathclap"],props:{numArgs:1,allowedInText:!0},handler:(_ref,args)=>{var{parser,funcName}=_ref,body2=args[0];return{type:"lap",mode:parser.mode,alignment:funcName.slice(5),body:body2}},htmlBuilder:(group,options)=>{
+var inner2;group.alignment==="clap"?(inner2=buildCommon.makeSpan([],[buildGroup$1(group.body,options)]),inner2=buildCommon.makeSpan(["inner"],[inner2],options)):inner2=buildCommon.makeSpan(["inner"],[buildGroup$1(group.body,options)]);var fix2=buildCommon.makeSpan(["fix"],[]),node2=buildCommon.makeSpan([group.alignment],[inner2,fix2],options),strut=buildCommon.makeSpan(["strut"]);return strut.style.height=makeEm(node2.height+node2.depth),node2.depth&&(strut.style.verticalAlign=makeEm(-node2.depth)),
+node2.children.unshift(strut),node2=buildCommon.makeSpan(["thinbox"],[node2],options),buildCommon.makeSpan(["mord","vbox"],[node2],options)},mathmlBuilder:(group,options)=>{var node2=new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)]);if(group.alignment!=="rlap"){var offset2=group.alignment==="llap"?"-1":"-0.5";node2.setAttribute("lspace",offset2+"width")}return node2.setAttribute("width","0px"),node2}});defineFunction({type:"styling",names:["\\(","$"],props:{numArgs:0,allowedInText:!0,
+allowedInMath:!1},handler(_ref,args){var{funcName,parser}=_ref,outerMode=parser.mode;parser.switchMode("math");var close2=funcName==="\\("?"\\)":"$",body2=parser.parseExpression(!1,close2);return parser.expect(close2),parser.switchMode(outerMode),{type:"styling",mode:parser.mode,style:"text",body:body2}}});defineFunction({type:"text",names:["\\)","\\]"],props:{numArgs:0,allowedInText:!0,allowedInMath:!1},handler(context,args){throw new ParseError2("Mismatched "+context.funcName)}});var chooseMathStyle=(group,options)=>{
+switch(options.style.size){case Style$1.DISPLAY.size:return group.display;case Style$1.TEXT.size:return group.text;case Style$1.SCRIPT.size:return group.script;case Style$1.SCRIPTSCRIPT.size:return group.scriptscript;default:return group.text}};defineFunction({type:"mathchoice",names:["\\mathchoice"],props:{numArgs:4,primitive:!0},handler:(_ref,args)=>{var{parser}=_ref;return{type:"mathchoice",mode:parser.mode,display:ordargument(args[0]),text:ordargument(args[1]),script:ordargument(args[2]),scriptscript:ordargument(
+args[3])}},htmlBuilder:(group,options)=>{var body2=chooseMathStyle(group,options),elements=buildExpression$1(body2,options,!1);return buildCommon.makeFragment(elements)},mathmlBuilder:(group,options)=>{var body2=chooseMathStyle(group,options);return buildExpressionRow(body2,options)}});var assembleSupSub=(base2,supGroup,subGroup,options,style2,slant,baseShift)=>{base2=buildCommon.makeSpan([],[base2]);var subIsSingleCharacter=subGroup&&utils.isCharacterBox(subGroup),sub2,sup2;if(supGroup){var elem=buildGroup$1(
+supGroup,options.havingStyle(style2.sup()),options);sup2={elem,kern:Math.max(options.fontMetrics().bigOpSpacing1,options.fontMetrics().bigOpSpacing3-elem.depth)}}if(subGroup){var _elem=buildGroup$1(subGroup,options.havingStyle(style2.sub()),options);sub2={elem:_elem,kern:Math.max(options.fontMetrics().bigOpSpacing2,options.fontMetrics().bigOpSpacing4-_elem.height)}}var finalGroup;if(sup2&&sub2){var bottom=options.fontMetrics().bigOpSpacing5+sub2.elem.height+sub2.elem.depth+sub2.kern+base2.depth+
+baseShift;finalGroup=buildCommon.makeVList({positionType:"bottom",positionData:bottom,children:[{type:"kern",size:options.fontMetrics().bigOpSpacing5},{type:"elem",elem:sub2.elem,marginLeft:makeEm(-slant)},{type:"kern",size:sub2.kern},{type:"elem",elem:base2},{type:"kern",size:sup2.kern},{type:"elem",elem:sup2.elem,marginLeft:makeEm(slant)},{type:"kern",size:options.fontMetrics().bigOpSpacing5}]},options)}else if(sub2){var top=base2.height-baseShift;finalGroup=buildCommon.makeVList({positionType:"\
+top",positionData:top,children:[{type:"kern",size:options.fontMetrics().bigOpSpacing5},{type:"elem",elem:sub2.elem,marginLeft:makeEm(-slant)},{type:"kern",size:sub2.kern},{type:"elem",elem:base2}]},options)}else if(sup2){var _bottom=base2.depth+baseShift;finalGroup=buildCommon.makeVList({positionType:"bottom",positionData:_bottom,children:[{type:"elem",elem:base2},{type:"kern",size:sup2.kern},{type:"elem",elem:sup2.elem,marginLeft:makeEm(slant)},{type:"kern",size:options.fontMetrics().bigOpSpacing5}]},
+options)}else return base2;var parts=[finalGroup];if(sub2&&slant!==0&&!subIsSingleCharacter){var spacer=buildCommon.makeSpan(["mspace"],[],options);spacer.style.marginRight=makeEm(slant),parts.unshift(spacer)}return buildCommon.makeSpan(["mop","op-limits"],parts,options)},noSuccessor=["\\smallint"],htmlBuilder$2=(grp,options)=>{var supGroup,subGroup,hasLimits=!1,group;grp.type==="supsub"?(supGroup=grp.sup,subGroup=grp.sub,group=assertNodeType(grp.base,"op"),hasLimits=!0):group=assertNodeType(grp,
+"op");var style2=options.style,large=!1;style2.size===Style$1.DISPLAY.size&&group.symbol&&!utils.contains(noSuccessor,group.name)&&(large=!0);var base2;if(group.symbol){var fontName=large?"Size2-Regular":"Size1-Regular",stash="";if((group.name==="\\oiint"||group.name==="\\oiiint")&&(stash=group.name.slice(1),group.name=stash==="oiint"?"\\iint":"\\iiint"),base2=buildCommon.makeSymbol(group.name,fontName,"math",options,["mop","op-symbol",large?"large-op":"small-op"]),stash.length>0){var italic=base2.
+italic,oval=buildCommon.staticSvg(stash+"Size"+(large?"2":"1"),options);base2=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:base2,shift:0},{type:"elem",elem:oval,shift:large?.08:0}]},options),group.name="\\"+stash,base2.classes.unshift("mop"),base2.italic=italic}}else if(group.body){var inner2=buildExpression$1(group.body,options,!0);inner2.length===1&&inner2[0]instanceof SymbolNode?(base2=inner2[0],base2.classes[0]="mop"):base2=buildCommon.makeSpan(["mop"],inner2,
+options)}else{for(var output=[],i=1;i<group.name.length;i++)output.push(buildCommon.mathsym(group.name[i],group.mode,options));base2=buildCommon.makeSpan(["mop"],output,options)}var baseShift=0,slant=0;return(base2 instanceof SymbolNode||group.name==="\\oiint"||group.name==="\\oiiint")&&!group.suppressBaseShift&&(baseShift=(base2.height-base2.depth)/2-options.fontMetrics().axisHeight,slant=base2.italic),hasLimits?assembleSupSub(base2,supGroup,subGroup,options,style2,slant,baseShift):(baseShift&&
+(base2.style.position="relative",base2.style.top=makeEm(baseShift)),base2)},mathmlBuilder$1=(group,options)=>{var node2;if(group.symbol)node2=new MathNode("mo",[makeText(group.name,group.mode)]),utils.contains(noSuccessor,group.name)&&node2.setAttribute("largeop","false");else if(group.body)node2=new MathNode("mo",buildExpression2(group.body,options));else{node2=new MathNode("mi",[new TextNode(group.name.slice(1))]);var operator2=new MathNode("mo",[makeText("⁡","text")]);group.parentIsSupSub?node2=
+new MathNode("mrow",[node2,operator2]):node2=newDocumentFragment([node2,operator2])}return node2},singleCharBigOps={"∏":"\\prod","∐":"\\coprod","∑":"\\sum","⋀":"\\bigwedge","⋁":"\\bigvee","⋂":"\\bigcap","⋃":"\\bigcup","⨀":"\\bigodot","⨁":"\\bigoplus","⨂":"\\bigotimes","⨄":"\\biguplus","⨆":"\\bigsqcup"};defineFunction({type:"op",names:["\\coprod","\\bigvee","\\bigwedge","\\biguplus","\\bigcap","\\bigcup","\\intop","\\prod","\\sum","\\bigotimes","\\bigoplus","\\bigodot","\\b\
+igsqcup","\\smallint","∏","∐","∑","⋀","⋁","⋂","⋃","⨀","⨁","⨂","⨄","⨆"],props:{numArgs:0},handler:(_ref,args)=>{var{parser,funcName}=_ref,fName=funcName;return fName.length===1&&(fName=singleCharBigOps[fName]),{type:"op",mode:parser.mode,limits:!0,parentIsSupSub:!1,symbol:!0,name:fName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});defineFunction({type:"op",names:["\\mathop"],props:{numArgs:1,primitive:!0},handler:(_ref2,args)=>{var{parser}=_ref2,body2=args[0];
+return{type:"op",mode:parser.mode,limits:!1,parentIsSupSub:!1,symbol:!1,body:ordargument(body2)}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});var singleCharIntegrals={"∫":"\\int","∬":"\\iint","∭":"\\iiint","∮":"\\oint","∯":"\\oiint","∰":"\\oiiint"};defineFunction({type:"op",names:["\\arcsin","\\arccos","\\arctan","\\arctg","\\arcctg","\\arg","\\ch","\\cos","\\cosec","\\cosh","\\cot","\\cotg","\\coth","\\csc","\\ctg","\\cth","\\deg","\\dim","\\exp","\\hom","\\ker","\\lg",
+"\\ln","\\log","\\sec","\\sin","\\sinh","\\sh","\\tan","\\tanh","\\tg","\\th"],props:{numArgs:0},handler(_ref3){var{parser,funcName}=_ref3;return{type:"op",mode:parser.mode,limits:!1,parentIsSupSub:!1,symbol:!1,name:funcName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});defineFunction({type:"op",names:["\\det","\\gcd","\\inf","\\lim","\\max","\\min","\\Pr","\\sup"],props:{numArgs:0},handler(_ref4){var{parser,funcName}=_ref4;return{type:"op",mode:parser.mode,limits:!0,parentIsSupSub:!1,
+symbol:!1,name:funcName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});defineFunction({type:"op",names:["\\int","\\iint","\\iiint","\\oint","\\oiint","\\oiiint","∫","∬","∭","∮","∯","∰"],props:{numArgs:0},handler(_ref5){var{parser,funcName}=_ref5,fName=funcName;return fName.length===1&&(fName=singleCharIntegrals[fName]),{type:"op",mode:parser.mode,limits:!1,parentIsSupSub:!1,symbol:!0,name:fName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});var htmlBuilder$1=(grp,options)=>{
+var supGroup,subGroup,hasLimits=!1,group;grp.type==="supsub"?(supGroup=grp.sup,subGroup=grp.sub,group=assertNodeType(grp.base,"operatorname"),hasLimits=!0):group=assertNodeType(grp,"operatorname");var base2;if(group.body.length>0){for(var body2=group.body.map(child3=>{var childText=child3.text;return typeof childText=="string"?{type:"textord",mode:child3.mode,text:childText}:child3}),expression=buildExpression$1(body2,options.withFont("mathrm"),!0),i=0;i<expression.length;i++){var child2=expression[i];
+child2 instanceof SymbolNode&&(child2.text=child2.text.replace(/\u2212/,"-").replace(/\u2217/,"*"))}base2=buildCommon.makeSpan(["mop"],expression,options)}else base2=buildCommon.makeSpan(["mop"],[],options);return hasLimits?assembleSupSub(base2,supGroup,subGroup,options,options.style,0,0):base2},mathmlBuilder2=(group,options)=>{for(var expression=buildExpression2(group.body,options.withFont("mathrm")),isAllString=!0,i=0;i<expression.length;i++){var node2=expression[i];if(!(node2 instanceof mathMLTree.
+SpaceNode))if(node2 instanceof mathMLTree.MathNode)switch(node2.type){case"mi":case"mn":case"ms":case"mspace":case"mtext":break;case"mo":{var child2=node2.children[0];node2.children.length===1&&child2 instanceof mathMLTree.TextNode?child2.text=child2.text.replace(/\u2212/,"-").replace(/\u2217/,"*"):isAllString=!1;break}default:isAllString=!1}else isAllString=!1}if(isAllString){var word=expression.map(node3=>node3.toText()).join("");expression=[new mathMLTree.TextNode(word)]}var identifier2=new mathMLTree.
+MathNode("mi",expression);identifier2.setAttribute("mathvariant","normal");var operator2=new mathMLTree.MathNode("mo",[makeText("⁡","text")]);return group.parentIsSupSub?new mathMLTree.MathNode("mrow",[identifier2,operator2]):mathMLTree.newDocumentFragment([identifier2,operator2])};defineFunction({type:"operatorname",names:["\\operatorname@","\\operatornamewithlimits"],props:{numArgs:1},handler:(_ref,args)=>{var{parser,funcName}=_ref,body2=args[0];return{type:"operatorname",mode:parser.mode,body:ordargument(
+body2),alwaysHandleSupSub:funcName==="\\operatornamewithlimits",limits:!1,parentIsSupSub:!1}},htmlBuilder:htmlBuilder$1,mathmlBuilder:mathmlBuilder2});defineMacro("\\operatorname","\\@ifstar\\operatornamewithlimits\\operatorname@");defineFunctionBuilders({type:"ordgroup",htmlBuilder(group,options){return group.semisimple?buildCommon.makeFragment(buildExpression$1(group.body,options,!1)):buildCommon.makeSpan(["mord"],buildExpression$1(group.body,options,!0),options)},mathmlBuilder(group,options){
+return buildExpressionRow(group.body,options,!0)}});defineFunction({type:"overline",names:["\\overline"],props:{numArgs:1},handler(_ref,args){var{parser}=_ref,body2=args[0];return{type:"overline",mode:parser.mode,body:body2}},htmlBuilder(group,options){var innerGroup=buildGroup$1(group.body,options.havingCrampedStyle()),line=buildCommon.makeLineSpan("overline-line",options),defaultRuleThickness=options.fontMetrics().defaultRuleThickness,vlist=buildCommon.makeVList({positionType:"firstBaseline",children:[
+{type:"elem",elem:innerGroup},{type:"kern",size:3*defaultRuleThickness},{type:"elem",elem:line},{type:"kern",size:defaultRuleThickness}]},options);return buildCommon.makeSpan(["mord","overline"],[vlist],options)},mathmlBuilder(group,options){var operator2=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode("‾")]);operator2.setAttribute("stretchy","true");var node2=new mathMLTree.MathNode("mover",[buildGroup2(group.body,options),operator2]);return node2.setAttribute("accent","true"),node2}});
+defineFunction({type:"phantom",names:["\\phantom"],props:{numArgs:1,allowedInText:!0},handler:(_ref,args)=>{var{parser}=_ref,body2=args[0];return{type:"phantom",mode:parser.mode,body:ordargument(body2)}},htmlBuilder:(group,options)=>{var elements=buildExpression$1(group.body,options.withPhantom(),!1);return buildCommon.makeFragment(elements)},mathmlBuilder:(group,options)=>{var inner2=buildExpression2(group.body,options);return new mathMLTree.MathNode("mphantom",inner2)}});defineFunction({type:"\
+hphantom",names:["\\hphantom"],props:{numArgs:1,allowedInText:!0},handler:(_ref2,args)=>{var{parser}=_ref2,body2=args[0];return{type:"hphantom",mode:parser.mode,body:body2}},htmlBuilder:(group,options)=>{var node2=buildCommon.makeSpan([],[buildGroup$1(group.body,options.withPhantom())]);if(node2.height=0,node2.depth=0,node2.children)for(var i=0;i<node2.children.length;i++)node2.children[i].height=0,node2.children[i].depth=0;return node2=buildCommon.makeVList({positionType:"firstBaseline",children:[
+{type:"elem",elem:node2}]},options),buildCommon.makeSpan(["mord"],[node2],options)},mathmlBuilder:(group,options)=>{var inner2=buildExpression2(ordargument(group.body),options),phantom=new mathMLTree.MathNode("mphantom",inner2),node2=new mathMLTree.MathNode("mpadded",[phantom]);return node2.setAttribute("height","0px"),node2.setAttribute("depth","0px"),node2}});defineFunction({type:"vphantom",names:["\\vphantom"],props:{numArgs:1,allowedInText:!0},handler:(_ref3,args)=>{var{parser}=_ref3,body2=args[0];
+return{type:"vphantom",mode:parser.mode,body:body2}},htmlBuilder:(group,options)=>{var inner2=buildCommon.makeSpan(["inner"],[buildGroup$1(group.body,options.withPhantom())]),fix2=buildCommon.makeSpan(["fix"],[]);return buildCommon.makeSpan(["mord","rlap"],[inner2,fix2],options)},mathmlBuilder:(group,options)=>{var inner2=buildExpression2(ordargument(group.body),options),phantom=new mathMLTree.MathNode("mphantom",inner2),node2=new mathMLTree.MathNode("mpadded",[phantom]);return node2.setAttribute(
+"width","0px"),node2}});defineFunction({type:"raisebox",names:["\\raisebox"],props:{numArgs:2,argTypes:["size","hbox"],allowedInText:!0},handler(_ref,args){var{parser}=_ref,amount=assertNodeType(args[0],"size").value,body2=args[1];return{type:"raisebox",mode:parser.mode,dy:amount,body:body2}},htmlBuilder(group,options){var body2=buildGroup$1(group.body,options),dy=calculateSize(group.dy,options);return buildCommon.makeVList({positionType:"shift",positionData:-dy,children:[{type:"elem",elem:body2}]},
+options)},mathmlBuilder(group,options){var node2=new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)]),dy=group.dy.number+group.dy.unit;return node2.setAttribute("voffset",dy),node2}});defineFunction({type:"internal",names:["\\relax"],props:{numArgs:0,allowedInText:!0,allowedInArgument:!0},handler(_ref){var{parser}=_ref;return{type:"internal",mode:parser.mode}}});defineFunction({type:"rule",names:["\\rule"],props:{numArgs:2,numOptionalArgs:1,allowedInText:!0,allowedInMath:!0,argTypes:[
+"size","size","size"]},handler(_ref,args,optArgs){var{parser}=_ref,shift2=optArgs[0],width=assertNodeType(args[0],"size"),height=assertNodeType(args[1],"size");return{type:"rule",mode:parser.mode,shift:shift2&&assertNodeType(shift2,"size").value,width:width.value,height:height.value}},htmlBuilder(group,options){var rule=buildCommon.makeSpan(["mord","rule"],[],options),width=calculateSize(group.width,options),height=calculateSize(group.height,options),shift2=group.shift?calculateSize(group.shift,
+options):0;return rule.style.borderRightWidth=makeEm(width),rule.style.borderTopWidth=makeEm(height),rule.style.bottom=makeEm(shift2),rule.width=width,rule.height=height+shift2,rule.depth=-shift2,rule.maxFontSize=height*1.125*options.sizeMultiplier,rule},mathmlBuilder(group,options){var width=calculateSize(group.width,options),height=calculateSize(group.height,options),shift2=group.shift?calculateSize(group.shift,options):0,color=options.color&&options.getColor()||"black",rule=new mathMLTree.MathNode(
+"mspace");rule.setAttribute("mathbackground",color),rule.setAttribute("width",makeEm(width)),rule.setAttribute("height",makeEm(height));var wrapper=new mathMLTree.MathNode("mpadded",[rule]);return shift2>=0?wrapper.setAttribute("height",makeEm(shift2)):(wrapper.setAttribute("height",makeEm(shift2)),wrapper.setAttribute("depth",makeEm(-shift2))),wrapper.setAttribute("voffset",makeEm(shift2)),wrapper}});function sizingGroup(value,options,baseOptions){for(var inner2=buildExpression$1(value,options,
+!1),multiplier=options.sizeMultiplier/baseOptions.sizeMultiplier,i=0;i<inner2.length;i++){var pos=inner2[i].classes.indexOf("sizing");pos<0?Array.prototype.push.apply(inner2[i].classes,options.sizingClasses(baseOptions)):inner2[i].classes[pos+1]==="reset-size"+options.size&&(inner2[i].classes[pos+1]="reset-size"+baseOptions.size),inner2[i].height*=multiplier,inner2[i].depth*=multiplier}return buildCommon.makeFragment(inner2)}var sizeFuncs=["\\tiny","\\sixptsize","\\scriptsize","\\footnotesize","\
+\\small","\\normalsize","\\large","\\Large","\\LARGE","\\huge","\\Huge"],htmlBuilder2=(group,options)=>{var newOptions=options.havingSize(group.size);return sizingGroup(group.body,newOptions,options)};defineFunction({type:"sizing",names:sizeFuncs,props:{numArgs:0,allowedInText:!0},handler:(_ref,args)=>{var{breakOnTokenText,funcName,parser}=_ref,body2=parser.parseExpression(!1,breakOnTokenText);return{type:"sizing",mode:parser.mode,size:sizeFuncs.indexOf(funcName)+1,body:body2}},htmlBuilder:htmlBuilder2,
+mathmlBuilder:(group,options)=>{var newOptions=options.havingSize(group.size),inner2=buildExpression2(group.body,newOptions),node2=new mathMLTree.MathNode("mstyle",inner2);return node2.setAttribute("mathsize",makeEm(newOptions.sizeMultiplier)),node2}});defineFunction({type:"smash",names:["\\smash"],props:{numArgs:1,numOptionalArgs:1,allowedInText:!0},handler:(_ref,args,optArgs)=>{var{parser}=_ref,smashHeight=!1,smashDepth=!1,tbArg=optArgs[0]&&assertNodeType(optArgs[0],"ordgroup");if(tbArg)for(var letter="",
+i=0;i<tbArg.body.length;++i){var node2=tbArg.body[i];if(letter=node2.text,letter==="t")smashHeight=!0;else if(letter==="b")smashDepth=!0;else{smashHeight=!1,smashDepth=!1;break}}else smashHeight=!0,smashDepth=!0;var body2=args[0];return{type:"smash",mode:parser.mode,body:body2,smashHeight,smashDepth}},htmlBuilder:(group,options)=>{var node2=buildCommon.makeSpan([],[buildGroup$1(group.body,options)]);if(!group.smashHeight&&!group.smashDepth)return node2;if(group.smashHeight&&(node2.height=0,node2.
+children))for(var i=0;i<node2.children.length;i++)node2.children[i].height=0;if(group.smashDepth&&(node2.depth=0,node2.children))for(var _i=0;_i<node2.children.length;_i++)node2.children[_i].depth=0;var smashedNode=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:node2}]},options);return buildCommon.makeSpan(["mord"],[smashedNode],options)},mathmlBuilder:(group,options)=>{var node2=new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)]);return group.smashHeight&&
+node2.setAttribute("height","0px"),group.smashDepth&&node2.setAttribute("depth","0px"),node2}});defineFunction({type:"sqrt",names:["\\sqrt"],props:{numArgs:1,numOptionalArgs:1},handler(_ref,args,optArgs){var{parser}=_ref,index2=optArgs[0],body2=args[0];return{type:"sqrt",mode:parser.mode,body:body2,index:index2}},htmlBuilder(group,options){var inner2=buildGroup$1(group.body,options.havingCrampedStyle());inner2.height===0&&(inner2.height=options.fontMetrics().xHeight),inner2=buildCommon.wrapFragment(
+inner2,options);var metrics=options.fontMetrics(),theta=metrics.defaultRuleThickness,phi=theta;options.style.id<Style$1.TEXT.id&&(phi=options.fontMetrics().xHeight);var lineClearance=theta+phi/4,minDelimiterHeight=inner2.height+inner2.depth+lineClearance+theta,{span:img,ruleWidth,advanceWidth}=delimiter.sqrtImage(minDelimiterHeight,options),delimDepth=img.height-ruleWidth;delimDepth>inner2.height+inner2.depth+lineClearance&&(lineClearance=(lineClearance+delimDepth-inner2.height-inner2.depth)/2);
+var imgShift=img.height-inner2.height-lineClearance-ruleWidth;inner2.style.paddingLeft=makeEm(advanceWidth);var body2=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:inner2,wrapperClasses:["svg-align"]},{type:"kern",size:-(inner2.height+imgShift)},{type:"elem",elem:img},{type:"kern",size:ruleWidth}]},options);if(group.index){var newOptions=options.havingStyle(Style$1.SCRIPTSCRIPT),rootm=buildGroup$1(group.index,newOptions,options),toShift=.6*(body2.height-body2.depth),
+rootVList=buildCommon.makeVList({positionType:"shift",positionData:-toShift,children:[{type:"elem",elem:rootm}]},options),rootVListWrap=buildCommon.makeSpan(["root"],[rootVList]);return buildCommon.makeSpan(["mord","sqrt"],[rootVListWrap,body2],options)}else return buildCommon.makeSpan(["mord","sqrt"],[body2],options)},mathmlBuilder(group,options){var{body:body2,index:index2}=group;return index2?new mathMLTree.MathNode("mroot",[buildGroup2(body2,options),buildGroup2(index2,options)]):new mathMLTree.
+MathNode("msqrt",[buildGroup2(body2,options)])}});var styleMap={display:Style$1.DISPLAY,text:Style$1.TEXT,script:Style$1.SCRIPT,scriptscript:Style$1.SCRIPTSCRIPT};defineFunction({type:"styling",names:["\\displaystyle","\\textstyle","\\scriptstyle","\\scriptscriptstyle"],props:{numArgs:0,allowedInText:!0,primitive:!0},handler(_ref,args){var{breakOnTokenText,funcName,parser}=_ref,body2=parser.parseExpression(!0,breakOnTokenText),style2=funcName.slice(1,funcName.length-5);return{type:"styling",mode:parser.
+mode,style:style2,body:body2}},htmlBuilder(group,options){var newStyle=styleMap[group.style],newOptions=options.havingStyle(newStyle).withFont("");return sizingGroup(group.body,newOptions,options)},mathmlBuilder(group,options){var newStyle=styleMap[group.style],newOptions=options.havingStyle(newStyle),inner2=buildExpression2(group.body,newOptions),node2=new mathMLTree.MathNode("mstyle",inner2),styleAttributes={display:["0","true"],text:["0","false"],script:["1","false"],scriptscript:["2","false"]},
+attr=styleAttributes[group.style];return node2.setAttribute("scriptlevel",attr[0]),node2.setAttribute("displaystyle",attr[1]),node2}});var htmlBuilderDelegate=function(group,options){var base2=group.base;if(base2)if(base2.type==="op"){var delegate2=base2.limits&&(options.style.size===Style$1.DISPLAY.size||base2.alwaysHandleSupSub);return delegate2?htmlBuilder$2:null}else if(base2.type==="operatorname"){var _delegate=base2.alwaysHandleSupSub&&(options.style.size===Style$1.DISPLAY.size||base2.limits);
+return _delegate?htmlBuilder$1:null}else{if(base2.type==="accent")return utils.isCharacterBox(base2.base)?htmlBuilder$a:null;if(base2.type==="horizBrace"){var isSup=!group.sub;return isSup===base2.isOver?htmlBuilder$3:null}else return null}else return null};defineFunctionBuilders({type:"supsub",htmlBuilder(group,options){var builderDelegate=htmlBuilderDelegate(group,options);if(builderDelegate)return builderDelegate(group,options);var{base:valueBase,sup:valueSup,sub:valueSub}=group,base2=buildGroup$1(
+valueBase,options),supm,subm,metrics=options.fontMetrics(),supShift=0,subShift=0,isCharacterBox3=valueBase&&utils.isCharacterBox(valueBase);if(valueSup){var newOptions=options.havingStyle(options.style.sup());supm=buildGroup$1(valueSup,newOptions,options),isCharacterBox3||(supShift=base2.height-newOptions.fontMetrics().supDrop*newOptions.sizeMultiplier/options.sizeMultiplier)}if(valueSub){var _newOptions=options.havingStyle(options.style.sub());subm=buildGroup$1(valueSub,_newOptions,options),isCharacterBox3||
+(subShift=base2.depth+_newOptions.fontMetrics().subDrop*_newOptions.sizeMultiplier/options.sizeMultiplier)}var minSupShift;options.style===Style$1.DISPLAY?minSupShift=metrics.sup1:options.style.cramped?minSupShift=metrics.sup3:minSupShift=metrics.sup2;var multiplier=options.sizeMultiplier,marginRight=makeEm(.5/metrics.ptPerEm/multiplier),marginLeft=null;if(subm){var isOiint=group.base&&group.base.type==="op"&&group.base.name&&(group.base.name==="\\oiint"||group.base.name==="\\oiiint");(base2 instanceof
+SymbolNode||isOiint)&&(marginLeft=makeEm(-base2.italic))}var supsub;if(supm&&subm){supShift=Math.max(supShift,minSupShift,supm.depth+.25*metrics.xHeight),subShift=Math.max(subShift,metrics.sub2);var ruleWidth=metrics.defaultRuleThickness,maxWidth=4*ruleWidth;if(supShift-supm.depth-(subm.height-subShift)<maxWidth){subShift=maxWidth-(supShift-supm.depth)+subm.height;var psi=.8*metrics.xHeight-(supShift-supm.depth);psi>0&&(supShift+=psi,subShift-=psi)}var vlistElem=[{type:"elem",elem:subm,shift:subShift,
+marginRight,marginLeft},{type:"elem",elem:supm,shift:-supShift,marginRight}];supsub=buildCommon.makeVList({positionType:"individualShift",children:vlistElem},options)}else if(subm){subShift=Math.max(subShift,metrics.sub1,subm.height-.8*metrics.xHeight);var _vlistElem=[{type:"elem",elem:subm,marginLeft,marginRight}];supsub=buildCommon.makeVList({positionType:"shift",positionData:subShift,children:_vlistElem},options)}else if(supm)supShift=Math.max(supShift,minSupShift,supm.depth+.25*metrics.xHeight),
+supsub=buildCommon.makeVList({positionType:"shift",positionData:-supShift,children:[{type:"elem",elem:supm,marginRight}]},options);else throw new Error("supsub must have either sup or sub.");var mclass=getTypeOfDomTree(base2,"right")||"mord";return buildCommon.makeSpan([mclass],[base2,buildCommon.makeSpan(["msupsub"],[supsub])],options)},mathmlBuilder(group,options){var isBrace=!1,isOver,isSup;group.base&&group.base.type==="horizBrace"&&(isSup=!!group.sup,isSup===group.base.isOver&&(isBrace=!0,isOver=
+group.base.isOver)),group.base&&(group.base.type==="op"||group.base.type==="operatorname")&&(group.base.parentIsSupSub=!0);var children=[buildGroup2(group.base,options)];group.sub&&children.push(buildGroup2(group.sub,options)),group.sup&&children.push(buildGroup2(group.sup,options));var nodeType;if(isBrace)nodeType=isOver?"mover":"munder";else if(group.sub)if(group.sup){var _base2=group.base;_base2&&_base2.type==="op"&&_base2.limits&&options.style===Style$1.DISPLAY||_base2&&_base2.type==="operat\
+orname"&&_base2.alwaysHandleSupSub&&(options.style===Style$1.DISPLAY||_base2.limits)?nodeType="munderover":nodeType="msubsup"}else{var _base=group.base;_base&&_base.type==="op"&&_base.limits&&(options.style===Style$1.DISPLAY||_base.alwaysHandleSupSub)||_base&&_base.type==="operatorname"&&_base.alwaysHandleSupSub&&(_base.limits||options.style===Style$1.DISPLAY)?nodeType="munder":nodeType="msub"}else{var base2=group.base;base2&&base2.type==="op"&&base2.limits&&(options.style===Style$1.DISPLAY||base2.
+alwaysHandleSupSub)||base2&&base2.type==="operatorname"&&base2.alwaysHandleSupSub&&(base2.limits||options.style===Style$1.DISPLAY)?nodeType="mover":nodeType="msup"}return new mathMLTree.MathNode(nodeType,children)}});defineFunctionBuilders({type:"atom",htmlBuilder(group,options){return buildCommon.mathsym(group.text,group.mode,options,["m"+group.family])},mathmlBuilder(group,options){var node2=new mathMLTree.MathNode("mo",[makeText(group.text,group.mode)]);if(group.family==="bin"){var variant=getVariant(
+group,options);variant==="bold-italic"&&node2.setAttribute("mathvariant",variant)}else group.family==="punct"?node2.setAttribute("separator","true"):(group.family==="open"||group.family==="close")&&node2.setAttribute("stretchy","false");return node2}});var defaultVariant={mi:"italic",mn:"normal",mtext:"normal"};defineFunctionBuilders({type:"mathord",htmlBuilder(group,options){return buildCommon.makeOrd(group,options,"mathord")},mathmlBuilder(group,options){var node2=new mathMLTree.MathNode("mi",
+[makeText(group.text,group.mode,options)]),variant=getVariant(group,options)||"italic";return variant!==defaultVariant[node2.type]&&node2.setAttribute("mathvariant",variant),node2}});defineFunctionBuilders({type:"textord",htmlBuilder(group,options){return buildCommon.makeOrd(group,options,"textord")},mathmlBuilder(group,options){var text2=makeText(group.text,group.mode,options),variant=getVariant(group,options)||"normal",node2;return group.mode==="text"?node2=new mathMLTree.MathNode("mtext",[text2]):
+/[0-9]/.test(group.text)?node2=new mathMLTree.MathNode("mn",[text2]):group.text==="\\prime"?node2=new mathMLTree.MathNode("mo",[text2]):node2=new mathMLTree.MathNode("mi",[text2]),variant!==defaultVariant[node2.type]&&node2.setAttribute("mathvariant",variant),node2}});var cssSpace={"\\nobreak":"nobreak","\\allowbreak":"allowbreak"},regularSpace={" ":{},"\\ ":{},"~":{className:"nobreak"},"\\space":{},"\\nobreakspace":{className:"nobreak"}};defineFunctionBuilders({type:"spacing",htmlBuilder(group,options){
+if(regularSpace.hasOwnProperty(group.text)){var className=regularSpace[group.text].className||"";if(group.mode==="text"){var ord=buildCommon.makeOrd(group,options,"textord");return ord.classes.push(className),ord}else return buildCommon.makeSpan(["mspace",className],[buildCommon.mathsym(group.text,group.mode,options)],options)}else{if(cssSpace.hasOwnProperty(group.text))return buildCommon.makeSpan(["mspace",cssSpace[group.text]],[],options);throw new ParseError2('Unknown type of space "'+group.text+
+'"')}},mathmlBuilder(group,options){var node2;if(regularSpace.hasOwnProperty(group.text))node2=new mathMLTree.MathNode("mtext",[new mathMLTree.TextNode(" ")]);else{if(cssSpace.hasOwnProperty(group.text))return new mathMLTree.MathNode("mspace");throw new ParseError2('Unknown type of space "'+group.text+'"')}return node2}});var pad=()=>{var padNode=new mathMLTree.MathNode("mtd",[]);return padNode.setAttribute("width","50%"),padNode};defineFunctionBuilders({type:"tag",mathmlBuilder(group,options){
+var table2=new mathMLTree.MathNode("mtable",[new mathMLTree.MathNode("mtr",[pad(),new mathMLTree.MathNode("mtd",[buildExpressionRow(group.body,options)]),pad(),new mathMLTree.MathNode("mtd",[buildExpressionRow(group.tag,options)])])]);return table2.setAttribute("width","100%"),table2}});var textFontFamilies={"\\text":void 0,"\\textrm":"textrm","\\textsf":"textsf","\\texttt":"texttt","\\textnormal":"textrm"},textFontWeights={"\\textbf":"textbf","\\textmd":"textmd"},textFontShapes={"\\textit":"tex\
+tit","\\textup":"textup"},optionsWithFont=(group,options)=>{var font=group.font;if(font){if(textFontFamilies[font])return options.withTextFontFamily(textFontFamilies[font]);if(textFontWeights[font])return options.withTextFontWeight(textFontWeights[font]);if(font==="\\emph")return options.fontShape==="textit"?options.withTextFontShape("textup"):options.withTextFontShape("textit")}else return options;return options.withTextFontShape(textFontShapes[font])};defineFunction({type:"text",names:["\\text",
+"\\textrm","\\textsf","\\texttt","\\textnormal","\\textbf","\\textmd","\\textit","\\textup","\\emph"],props:{numArgs:1,argTypes:["text"],allowedInArgument:!0,allowedInText:!0},handler(_ref,args){var{parser,funcName}=_ref,body2=args[0];return{type:"text",mode:parser.mode,body:ordargument(body2),font:funcName}},htmlBuilder(group,options){var newOptions=optionsWithFont(group,options),inner2=buildExpression$1(group.body,newOptions,!0);return buildCommon.makeSpan(["mord","text"],inner2,newOptions)},mathmlBuilder(group,options){
+var newOptions=optionsWithFont(group,options);return buildExpressionRow(group.body,newOptions)}});defineFunction({type:"underline",names:["\\underline"],props:{numArgs:1,allowedInText:!0},handler(_ref,args){var{parser}=_ref;return{type:"underline",mode:parser.mode,body:args[0]}},htmlBuilder(group,options){var innerGroup=buildGroup$1(group.body,options),line=buildCommon.makeLineSpan("underline-line",options),defaultRuleThickness=options.fontMetrics().defaultRuleThickness,vlist=buildCommon.makeVList(
+{positionType:"top",positionData:innerGroup.height,children:[{type:"kern",size:defaultRuleThickness},{type:"elem",elem:line},{type:"kern",size:3*defaultRuleThickness},{type:"elem",elem:innerGroup}]},options);return buildCommon.makeSpan(["mord","underline"],[vlist],options)},mathmlBuilder(group,options){var operator2=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode("‾")]);operator2.setAttribute("stretchy","true");var node2=new mathMLTree.MathNode("munder",[buildGroup2(group.body,options),operator2]);
+return node2.setAttribute("accentunder","true"),node2}});defineFunction({type:"vcenter",names:["\\vcenter"],props:{numArgs:1,argTypes:["original"],allowedInText:!1},handler(_ref,args){var{parser}=_ref;return{type:"vcenter",mode:parser.mode,body:args[0]}},htmlBuilder(group,options){var body2=buildGroup$1(group.body,options),axisHeight=options.fontMetrics().axisHeight,dy=.5*(body2.height-axisHeight-(body2.depth+axisHeight));return buildCommon.makeVList({positionType:"shift",positionData:dy,children:[
+{type:"elem",elem:body2}]},options)},mathmlBuilder(group,options){return new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)],["vcenter"])}});defineFunction({type:"verb",names:["\\verb"],props:{numArgs:0,allowedInText:!0},handler(context,args,optArgs){throw new ParseError2("\\verb ended by end of line instead of matching delimiter")},htmlBuilder(group,options){for(var text2=makeVerb(group),body2=[],newOptions=options.havingStyle(options.style.text()),i=0;i<text2.length;i++){var c2=text2[i];
+c2==="~"&&(c2="\\textasciitilde"),body2.push(buildCommon.makeSymbol(c2,"Typewriter-Regular",group.mode,newOptions,["mord","texttt"]))}return buildCommon.makeSpan(["mord","text"].concat(newOptions.sizingClasses(options)),buildCommon.tryCombineChars(body2),newOptions)},mathmlBuilder(group,options){var text2=new mathMLTree.TextNode(makeVerb(group)),node2=new mathMLTree.MathNode("mtext",[text2]);return node2.setAttribute("mathvariant","monospace"),node2}});var makeVerb=group=>group.body.replace(/ /g,
+group.star?"␣":" "),functions=_functions,spaceRegexString=`[ \r
+	]`,controlWordRegexString="\\\\[a-zA-Z@]+",controlSymbolRegexString="\\\\[^\uD800-\uDFFF]",controlWordWhitespaceRegexString="("+controlWordRegexString+")"+spaceRegexString+"*",controlSpaceRegexString=`\\\\(
+|[ \r	]+
+?)[ \r	]*`,combiningDiacriticalMarkString="[̀-ͯ]",combiningDiacriticalMarksEndRegex=new RegExp(combiningDiacriticalMarkString+"+$"),tokenRegexString="("+spaceRegexString+"+)|"+(controlSpaceRegexString+"|")+"([!-\\[\\]-‧‪-퟿豈-￿]"+(combiningDiacriticalMarkString+"*")+"|[\uD800-\uDBFF][\uDC00-\uDFFF]"+(combiningDiacriticalMarkString+"*")+"|\\\\verb\\*([^]).*?\\4|\\\\verb([^*a-zA-Z]).*?\\5"+("|"+controlWordWhitespaceRegexString)+("|"+controlSymbolRegexString+")");class Lexer{constructor(input,settings){
+this.input=void 0,this.settings=void 0,this.tokenRegex=void 0,this.catcodes=void 0,this.input=input,this.settings=settings,this.tokenRegex=new RegExp(tokenRegexString,"g"),this.catcodes={"%":14,"~":13}}setCatcode(char,code2){this.catcodes[char]=code2}lex(){var input=this.input,pos=this.tokenRegex.lastIndex;if(pos===input.length)return new Token("EOF",new SourceLocation(this,pos,pos));var match=this.tokenRegex.exec(input);if(match===null||match.index!==pos)throw new ParseError2("Unexpected charac\
+ter: '"+input[pos]+"'",new Token(input[pos],new SourceLocation(this,pos,pos+1)));var text2=match[6]||match[3]||(match[2]?"\\ ":" ");if(this.catcodes[text2]===14){var nlIndex=input.indexOf(`
+`,this.tokenRegex.lastIndex);return nlIndex===-1?(this.tokenRegex.lastIndex=input.length,this.settings.reportNonstrict("commentAtEnd","% comment has no terminating newline; LaTeX would fail because of commenting the end of math mode (e.g. $)")):this.tokenRegex.lastIndex=nlIndex+1,this.lex()}return new Token(text2,new SourceLocation(this,pos,this.tokenRegex.lastIndex))}}class Namespace{constructor(builtins,globalMacros){builtins===void 0&&(builtins={}),globalMacros===void 0&&(globalMacros={}),this.
+current=void 0,this.builtins=void 0,this.undefStack=void 0,this.current=globalMacros,this.builtins=builtins,this.undefStack=[]}beginGroup(){this.undefStack.push({})}endGroup(){if(this.undefStack.length===0)throw new ParseError2("Unbalanced namespace destruction: attempt to pop global namespace; please report this as a bug");var undefs=this.undefStack.pop();for(var undef in undefs)undefs.hasOwnProperty(undef)&&(undefs[undef]==null?delete this.current[undef]:this.current[undef]=undefs[undef])}endGroups(){
+for(;this.undefStack.length>0;)this.endGroup()}has(name){return this.current.hasOwnProperty(name)||this.builtins.hasOwnProperty(name)}get(name){return this.current.hasOwnProperty(name)?this.current[name]:this.builtins[name]}set(name,value,global2){if(global2===void 0&&(global2=!1),global2){for(var i=0;i<this.undefStack.length;i++)delete this.undefStack[i][name];this.undefStack.length>0&&(this.undefStack[this.undefStack.length-1][name]=value)}else{var top=this.undefStack[this.undefStack.length-1];
+top&&!top.hasOwnProperty(name)&&(top[name]=this.current[name])}value==null?delete this.current[name]:this.current[name]=value}}var macros=_macros;defineMacro("\\noexpand",function(context){var t=context.popToken();return context.isExpandable(t.text)&&(t.noexpand=!0,t.treatAsRelax=!0),{tokens:[t],numArgs:0}});defineMacro("\\expandafter",function(context){var t=context.popToken();return context.expandOnce(!0),{tokens:[t],numArgs:0}});defineMacro("\\@firstoftwo",function(context){var args=context.consumeArgs(
+2);return{tokens:args[0],numArgs:0}});defineMacro("\\@secondoftwo",function(context){var args=context.consumeArgs(2);return{tokens:args[1],numArgs:0}});defineMacro("\\@ifnextchar",function(context){var args=context.consumeArgs(3);context.consumeSpaces();var nextToken=context.future();return args[0].length===1&&args[0][0].text===nextToken.text?{tokens:args[1],numArgs:0}:{tokens:args[2],numArgs:0}});defineMacro("\\@ifstar","\\@ifnextchar *{\\@firstoftwo{#1}}");defineMacro("\\TextOrMath",function(context){
+var args=context.consumeArgs(2);return context.mode==="text"?{tokens:args[0],numArgs:0}:{tokens:args[1],numArgs:0}});var digitToNumber={0:0,1:1,2:2,3:3,4:4,5:5,6:6,7:7,8:8,9:9,a:10,A:10,b:11,B:11,c:12,C:12,d:13,D:13,e:14,E:14,f:15,F:15};defineMacro("\\char",function(context){var token2=context.popToken(),base2,number2="";if(token2.text==="'")base2=8,token2=context.popToken();else if(token2.text==='"')base2=16,token2=context.popToken();else if(token2.text==="`")if(token2=context.popToken(),token2.
+text[0]==="\\")number2=token2.text.charCodeAt(1);else{if(token2.text==="EOF")throw new ParseError2("\\char` missing argument");number2=token2.text.charCodeAt(0)}else base2=10;if(base2){if(number2=digitToNumber[token2.text],number2==null||number2>=base2)throw new ParseError2("Invalid base-"+base2+" digit "+token2.text);for(var digit;(digit=digitToNumber[context.future().text])!=null&&digit<base2;)number2*=base2,number2+=digit,context.popToken()}return"\\@char{"+number2+"}"});var newcommand=(context,existsOK,nonexistsOK,skipIfExists)=>{
+var arg=context.consumeArg().tokens;if(arg.length!==1)throw new ParseError2("\\newcommand's first argument must be a macro name");var name=arg[0].text,exists=context.isDefined(name);if(exists&&!existsOK)throw new ParseError2("\\newcommand{"+name+"} attempting to redefine "+(name+"; use \\renewcommand"));if(!exists&&!nonexistsOK)throw new ParseError2("\\renewcommand{"+name+"} when command "+name+" does not yet exist; use \\newcommand");var numArgs=0;if(arg=context.consumeArg().tokens,arg.length===
+1&&arg[0].text==="["){for(var argText="",token2=context.expandNextToken();token2.text!=="]"&&token2.text!=="EOF";)argText+=token2.text,token2=context.expandNextToken();if(!argText.match(/^\s*[0-9]+\s*$/))throw new ParseError2("Invalid number of arguments: "+argText);numArgs=parseInt(argText),arg=context.consumeArg().tokens}return exists&&skipIfExists||context.macros.set(name,{tokens:arg,numArgs}),""};defineMacro("\\newcommand",context=>newcommand(context,!1,!0,!1));defineMacro("\\renewcommand",context=>newcommand(
+context,!0,!1,!1));defineMacro("\\providecommand",context=>newcommand(context,!0,!0,!0));defineMacro("\\message",context=>{var arg=context.consumeArgs(1)[0];return console.log(arg.reverse().map(token2=>token2.text).join("")),""});defineMacro("\\errmessage",context=>{var arg=context.consumeArgs(1)[0];return console.error(arg.reverse().map(token2=>token2.text).join("")),""});defineMacro("\\show",context=>{var tok=context.popToken(),name=tok.text;return console.log(tok,context.macros.get(name),functions[name],
+symbols.math[name],symbols.text[name]),""});defineMacro("\\bgroup","{");defineMacro("\\egroup","}");defineMacro("~","\\nobreakspace");defineMacro("\\lq","`");defineMacro("\\rq","'");defineMacro("\\aa","\\r a");defineMacro("\\AA","\\r A");defineMacro("\\textcopyright","\\html@mathml{\\textcircled{c}}{\\char`©}");defineMacro("\\copyright","\\TextOrMath{\\textcopyright}{\\text{\\textcopyright}}");defineMacro("\\textregistered","\\html@mathml{\\textcircled{\\scriptsize R}}{\\char`®}");defineMacro(
+"ℬ","\\mathscr{B}");defineMacro("ℰ","\\mathscr{E}");defineMacro("ℱ","\\mathscr{F}");defineMacro("ℋ","\\mathscr{H}");defineMacro("ℐ","\\mathscr{I}");defineMacro("ℒ","\\mathscr{L}");defineMacro("ℳ","\\mathscr{M}");defineMacro("ℛ","\\mathscr{R}");defineMacro("ℭ","\\mathfrak{C}");defineMacro("ℌ","\\mathfrak{H}");defineMacro("ℨ","\\mathfrak{Z}");defineMacro("\\Bbbk","\\Bbb{k}");defineMacro("·","\\cdotp");defineMacro("\\llap","\\mathllap{\\textrm{#1}}");defineMacro("\\rlap","\\ma\
+thrlap{\\textrm{#1}}");defineMacro("\\clap","\\mathclap{\\textrm{#1}}");defineMacro("\\mathstrut","\\vphantom{(}");defineMacro("\\underbar","\\underline{\\text{#1}}");defineMacro("\\not",'\\html@mathml{\\mathrel{\\mathrlap\\@not}}{\\char"338}');defineMacro("\\neq","\\html@mathml{\\mathrel{\\not=}}{\\mathrel{\\char`≠}}");defineMacro("\\ne","\\neq");defineMacro("≠","\\neq");defineMacro("\\notin","\\html@mathml{\\mathrel{{\\in}\\mathllap{/\\mskip1mu}}}{\\mathrel{\\char`∉}}");defineMacro("∉",
+"\\notin");defineMacro("≘","\\html@mathml{\\mathrel{=\\kern{-1em}\\raisebox{0.4em}{$\\scriptsize\\frown$}}}{\\mathrel{\\char`≘}}");defineMacro("≙","\\html@mathml{\\stackrel{\\tiny\\wedge}{=}}{\\mathrel{\\char`≘}}");defineMacro("≚","\\html@mathml{\\stackrel{\\tiny\\vee}{=}}{\\mathrel{\\char`≚}}");defineMacro("≛","\\html@mathml{\\stackrel{\\scriptsize\\star}{=}}{\\mathrel{\\char`≛}}");defineMacro("≝","\\html@mathml{\\stackrel{\\tiny\\mathrm{def}}{=}}{\\mathrel{\\char`≝}}");defineMacro(
+"≞","\\html@mathml{\\stackrel{\\tiny\\mathrm{m}}{=}}{\\mathrel{\\char`≞}}");defineMacro("≟","\\html@mathml{\\stackrel{\\tiny?}{=}}{\\mathrel{\\char`≟}}");defineMacro("⟂","\\perp");defineMacro("‼","\\mathclose{!\\mkern-0.8mu!}");defineMacro("∌","\\notni");defineMacro("⌜","\\ulcorner");defineMacro("⌝","\\urcorner");defineMacro("⌞","\\llcorner");defineMacro("⌟","\\lrcorner");defineMacro("©","\\copyright");defineMacro("®","\\textregistered");defineMacro("️","\\textregistered");
+defineMacro("\\ulcorner",'\\html@mathml{\\@ulcorner}{\\mathop{\\char"231c}}');defineMacro("\\urcorner",'\\html@mathml{\\@urcorner}{\\mathop{\\char"231d}}');defineMacro("\\llcorner",'\\html@mathml{\\@llcorner}{\\mathop{\\char"231e}}');defineMacro("\\lrcorner",'\\html@mathml{\\@lrcorner}{\\mathop{\\char"231f}}');defineMacro("\\vdots","{\\varvdots\\rule{0pt}{15pt}}");defineMacro("⋮","\\vdots");defineMacro("\\varGamma","\\mathit{\\Gamma}");defineMacro("\\varDelta","\\mathit{\\Delta}");defineMacro(
+"\\varTheta","\\mathit{\\Theta}");defineMacro("\\varLambda","\\mathit{\\Lambda}");defineMacro("\\varXi","\\mathit{\\Xi}");defineMacro("\\varPi","\\mathit{\\Pi}");defineMacro("\\varSigma","\\mathit{\\Sigma}");defineMacro("\\varUpsilon","\\mathit{\\Upsilon}");defineMacro("\\varPhi","\\mathit{\\Phi}");defineMacro("\\varPsi","\\mathit{\\Psi}");defineMacro("\\varOmega","\\mathit{\\Omega}");defineMacro("\\substack","\\begin{subarray}{c}#1\\end{subarray}");defineMacro("\\colon","\\nobreak\\mskip2mu\\mathp\
+unct{}\\mathchoice{\\mkern-3mu}{\\mkern-3mu}{}{}{:}\\mskip6mu\\relax");defineMacro("\\boxed","\\fbox{$\\displaystyle{#1}$}");defineMacro("\\iff","\\DOTSB\\;\\Longleftrightarrow\\;");defineMacro("\\implies","\\DOTSB\\;\\Longrightarrow\\;");defineMacro("\\impliedby","\\DOTSB\\;\\Longleftarrow\\;");defineMacro("\\dddot","{\\overset{\\raisebox{-0.1ex}{\\normalsize ...}}{#1}}");defineMacro("\\ddddot","{\\overset{\\raisebox{-0.1ex}{\\normalsize ....}}{#1}}");var dotsByToken={",":"\\dotsc","\\not":"\\do\
+tsb","+":"\\dotsb","=":"\\dotsb","<":"\\dotsb",">":"\\dotsb","-":"\\dotsb","*":"\\dotsb",":":"\\dotsb","\\DOTSB":"\\dotsb","\\coprod":"\\dotsb","\\bigvee":"\\dotsb","\\bigwedge":"\\dotsb","\\biguplus":"\\dotsb","\\bigcap":"\\dotsb","\\bigcup":"\\dotsb","\\prod":"\\dotsb","\\sum":"\\dotsb","\\bigotimes":"\\dotsb","\\bigoplus":"\\dotsb","\\bigodot":"\\dotsb","\\bigsqcup":"\\dotsb","\\And":"\\dotsb","\\longrightarrow":"\\dotsb","\\Longrightarrow":"\\dotsb","\\longleftarrow":"\\dotsb","\\Longleftarro\
+w":"\\dotsb","\\longleftrightarrow":"\\dotsb","\\Longleftrightarrow":"\\dotsb","\\mapsto":"\\dotsb","\\longmapsto":"\\dotsb","\\hookrightarrow":"\\dotsb","\\doteq":"\\dotsb","\\mathbin":"\\dotsb","\\mathrel":"\\dotsb","\\relbar":"\\dotsb","\\Relbar":"\\dotsb","\\xrightarrow":"\\dotsb","\\xleftarrow":"\\dotsb","\\DOTSI":"\\dotsi","\\int":"\\dotsi","\\oint":"\\dotsi","\\iint":"\\dotsi","\\iiint":"\\dotsi","\\iiiint":"\\dotsi","\\idotsint":"\\dotsi","\\DOTSX":"\\dotsx"};defineMacro("\\dots",function(context){
+var thedots="\\dotso",next2=context.expandAfterFuture().text;return next2 in dotsByToken?thedots=dotsByToken[next2]:(next2.slice(0,4)==="\\not"||next2 in symbols.math&&utils.contains(["bin","rel"],symbols.math[next2].group))&&(thedots="\\dotsb"),thedots});var spaceAfterDots={")":!0,"]":!0,"\\rbrack":!0,"\\}":!0,"\\rbrace":!0,"\\rangle":!0,"\\rceil":!0,"\\rfloor":!0,"\\rgroup":!0,"\\rmoustache":!0,"\\right":!0,"\\bigr":!0,"\\biggr":!0,"\\Bigr":!0,"\\Biggr":!0,$:!0,";":!0,".":!0,",":!0};defineMacro(
+"\\dotso",function(context){var next2=context.future().text;return next2 in spaceAfterDots?"\\ldots\\,":"\\ldots"});defineMacro("\\dotsc",function(context){var next2=context.future().text;return next2 in spaceAfterDots&&next2!==","?"\\ldots\\,":"\\ldots"});defineMacro("\\cdots",function(context){var next2=context.future().text;return next2 in spaceAfterDots?"\\@cdots\\,":"\\@cdots"});defineMacro("\\dotsb","\\cdots");defineMacro("\\dotsm","\\cdots");defineMacro("\\dotsi","\\!\\cdots");defineMacro(
+"\\dotsx","\\ldots\\,");defineMacro("\\DOTSI","\\relax");defineMacro("\\DOTSB","\\relax");defineMacro("\\DOTSX","\\relax");defineMacro("\\tmspace","\\TextOrMath{\\kern#1#3}{\\mskip#1#2}\\relax");defineMacro("\\,","\\tmspace+{3mu}{.1667em}");defineMacro("\\thinspace","\\,");defineMacro("\\>","\\mskip{4mu}");defineMacro("\\:","\\tmspace+{4mu}{.2222em}");defineMacro("\\medspace","\\:");defineMacro("\\;","\\tmspace+{5mu}{.2777em}");defineMacro("\\thickspace","\\;");defineMacro("\\!","\\tmspace-{3mu}{\
+.1667em}");defineMacro("\\negthinspace","\\!");defineMacro("\\negmedspace","\\tmspace-{4mu}{.2222em}");defineMacro("\\negthickspace","\\tmspace-{5mu}{.277em}");defineMacro("\\enspace","\\kern.5em ");defineMacro("\\enskip","\\hskip.5em\\relax");defineMacro("\\quad","\\hskip1em\\relax");defineMacro("\\qquad","\\hskip2em\\relax");defineMacro("\\tag","\\@ifstar\\tag@literal\\tag@paren");defineMacro("\\tag@paren","\\tag@literal{({#1})}");defineMacro("\\tag@literal",context=>{if(context.macros.get("\\d\
+f@tag"))throw new ParseError2("Multiple \\tag");return"\\gdef\\df@tag{\\text{#1}}"});defineMacro("\\bmod","\\mathchoice{\\mskip1mu}{\\mskip1mu}{\\mskip5mu}{\\mskip5mu}\\mathbin{\\rm mod}\\mathchoice{\\mskip1mu}{\\mskip1mu}{\\mskip5mu}{\\mskip5mu}");defineMacro("\\pod","\\allowbreak\\mathchoice{\\mkern18mu}{\\mkern8mu}{\\mkern8mu}{\\mkern8mu}(#1)");defineMacro("\\pmod","\\pod{{\\rm mod}\\mkern6mu#1}");defineMacro("\\mod","\\allowbreak\\mathchoice{\\mkern18mu}{\\mkern12mu}{\\mkern12mu}{\\mkern12mu}{\\rm \
+mod}\\,\\,#1");defineMacro("\\newline","\\\\\\relax");defineMacro("\\TeX","\\textrm{\\html@mathml{T\\kern-.1667em\\raisebox{-.5ex}{E}\\kern-.125emX}{TeX}}");var latexRaiseA=makeEm(fontMetricsData["Main-Regular"][84][1]-.7*fontMetricsData["Main-Regular"][65][1]);defineMacro("\\LaTeX","\\textrm{\\html@mathml{"+("L\\kern-.36em\\raisebox{"+latexRaiseA+"}{\\scriptstyle A}")+"\\kern-.15em\\TeX}{LaTeX}}");defineMacro("\\KaTeX","\\textrm{\\html@mathml{"+("K\\kern-.17em\\raisebox{"+latexRaiseA+"}{\\script\
+style A}")+"\\kern-.15em\\TeX}{KaTeX}}");defineMacro("\\hspace","\\@ifstar\\@hspacer\\@hspace");defineMacro("\\@hspace","\\hskip #1\\relax");defineMacro("\\@hspacer","\\rule{0pt}{0pt}\\hskip #1\\relax");defineMacro("\\ordinarycolon",":");defineMacro("\\vcentcolon","\\mathrel{\\mathop\\ordinarycolon}");defineMacro("\\dblcolon",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-.9mu}\\vcentcolon}}{\\mathop{\\char"2237}}');defineMacro("\\coloneqq",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mke\
+rn-1.2mu}=}}{\\mathop{\\char"2254}}');defineMacro("\\Coloneqq",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}=}}{\\mathop{\\char"2237\\char"3d}}');defineMacro("\\coloneq",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-1.2mu}\\mathrel{-}}}{\\mathop{\\char"3a\\char"2212}}');defineMacro("\\Coloneq",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}\\mathrel{-}}}{\\mathop{\\char"2237\\char"2212}}');defineMacro("\\eqqcolon",'\\html@mathml{\\mathrel{=\\mathrel{\\mkern-1.2mu}\\\
+vcentcolon}}{\\mathop{\\char"2255}}');defineMacro("\\Eqqcolon",'\\html@mathml{\\mathrel{=\\mathrel{\\mkern-1.2mu}\\dblcolon}}{\\mathop{\\char"3d\\char"2237}}');defineMacro("\\eqcolon",'\\html@mathml{\\mathrel{\\mathrel{-}\\mathrel{\\mkern-1.2mu}\\vcentcolon}}{\\mathop{\\char"2239}}');defineMacro("\\Eqcolon",'\\html@mathml{\\mathrel{\\mathrel{-}\\mathrel{\\mkern-1.2mu}\\dblcolon}}{\\mathop{\\char"2212\\char"2237}}');defineMacro("\\colonapprox",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-1.2\
+mu}\\approx}}{\\mathop{\\char"3a\\char"2248}}');defineMacro("\\Colonapprox",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}\\approx}}{\\mathop{\\char"2237\\char"2248}}');defineMacro("\\colonsim",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-1.2mu}\\sim}}{\\mathop{\\char"3a\\char"223c}}');defineMacro("\\Colonsim",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}\\sim}}{\\mathop{\\char"2237\\char"223c}}');defineMacro("∷","\\dblcolon");defineMacro("∹","\\eqcolon");
+defineMacro("≔","\\coloneqq");defineMacro("≕","\\eqqcolon");defineMacro("⩴","\\Coloneqq");defineMacro("\\ratio","\\vcentcolon");defineMacro("\\coloncolon","\\dblcolon");defineMacro("\\colonequals","\\coloneqq");defineMacro("\\coloncolonequals","\\Coloneqq");defineMacro("\\equalscolon","\\eqqcolon");defineMacro("\\equalscoloncolon","\\Eqqcolon");defineMacro("\\colonminus","\\coloneq");defineMacro("\\coloncolonminus","\\Coloneq");defineMacro("\\minuscolon","\\eqcolon");defineMacro("\\minuscol\
+oncolon","\\Eqcolon");defineMacro("\\coloncolonapprox","\\Colonapprox");defineMacro("\\coloncolonsim","\\Colonsim");defineMacro("\\simcolon","\\mathrel{\\sim\\mathrel{\\mkern-1.2mu}\\vcentcolon}");defineMacro("\\simcoloncolon","\\mathrel{\\sim\\mathrel{\\mkern-1.2mu}\\dblcolon}");defineMacro("\\approxcolon","\\mathrel{\\approx\\mathrel{\\mkern-1.2mu}\\vcentcolon}");defineMacro("\\approxcoloncolon","\\mathrel{\\approx\\mathrel{\\mkern-1.2mu}\\dblcolon}");defineMacro("\\notni","\\html@mathml{\\not\\n\
+i}{\\mathrel{\\char`∌}}");defineMacro("\\limsup","\\DOTSB\\operatorname*{lim\\,sup}");defineMacro("\\liminf","\\DOTSB\\operatorname*{lim\\,inf}");defineMacro("\\injlim","\\DOTSB\\operatorname*{inj\\,lim}");defineMacro("\\projlim","\\DOTSB\\operatorname*{proj\\,lim}");defineMacro("\\varlimsup","\\DOTSB\\operatorname*{\\overline{lim}}");defineMacro("\\varliminf","\\DOTSB\\operatorname*{\\underline{lim}}");defineMacro("\\varinjlim","\\DOTSB\\operatorname*{\\underrightarrow{lim}}");defineMacro("\\v\
+arprojlim","\\DOTSB\\operatorname*{\\underleftarrow{lim}}");defineMacro("\\gvertneqq","\\html@mathml{\\@gvertneqq}{≩}");defineMacro("\\lvertneqq","\\html@mathml{\\@lvertneqq}{≨}");defineMacro("\\ngeqq","\\html@mathml{\\@ngeqq}{≱}");defineMacro("\\ngeqslant","\\html@mathml{\\@ngeqslant}{≱}");defineMacro("\\nleqq","\\html@mathml{\\@nleqq}{≰}");defineMacro("\\nleqslant","\\html@mathml{\\@nleqslant}{≰}");defineMacro("\\nshortmid","\\html@mathml{\\@nshortmid}{∤}");defineMacro("\\nshortpa\
+rallel","\\html@mathml{\\@nshortparallel}{∦}");defineMacro("\\nsubseteqq","\\html@mathml{\\@nsubseteqq}{⊈}");defineMacro("\\nsupseteqq","\\html@mathml{\\@nsupseteqq}{⊉}");defineMacro("\\varsubsetneq","\\html@mathml{\\@varsubsetneq}{⊊}");defineMacro("\\varsubsetneqq","\\html@mathml{\\@varsubsetneqq}{⫋}");defineMacro("\\varsupsetneq","\\html@mathml{\\@varsupsetneq}{⊋}");defineMacro("\\varsupsetneqq","\\html@mathml{\\@varsupsetneqq}{⫌}");defineMacro("\\imath","\\html@mathml{\\@imath}{ı}");
+defineMacro("\\jmath","\\html@mathml{\\@jmath}{ȷ}");defineMacro("\\llbracket","\\html@mathml{\\mathopen{[\\mkern-3.2mu[}}{\\mathopen{\\char`⟦}}");defineMacro("\\rrbracket","\\html@mathml{\\mathclose{]\\mkern-3.2mu]}}{\\mathclose{\\char`⟧}}");defineMacro("⟦","\\llbracket");defineMacro("⟧","\\rrbracket");defineMacro("\\lBrace","\\html@mathml{\\mathopen{\\{\\mkern-3.2mu[}}{\\mathopen{\\char`⦃}}");defineMacro("\\rBrace","\\html@mathml{\\mathclose{]\\mkern-3.2mu\\}}}{\\mathclose{\\char`⦄}}");
+defineMacro("⦃","\\lBrace");defineMacro("⦄","\\rBrace");defineMacro("\\minuso","\\mathbin{\\html@mathml{{\\mathrlap{\\mathchoice{\\kern{0.145em}}{\\kern{0.145em}}{\\kern{0.1015em}}{\\kern{0.0725em}}\\circ}{-}}}{\\char`⦵}}");defineMacro("⦵","\\minuso");defineMacro("\\darr","\\downarrow");defineMacro("\\dArr","\\Downarrow");defineMacro("\\Darr","\\Downarrow");defineMacro("\\lang","\\langle");defineMacro("\\rang","\\rangle");defineMacro("\\uarr","\\uparrow");defineMacro("\\uArr","\\Uparrow");
+defineMacro("\\Uarr","\\Uparrow");defineMacro("\\N","\\mathbb{N}");defineMacro("\\R","\\mathbb{R}");defineMacro("\\Z","\\mathbb{Z}");defineMacro("\\alef","\\aleph");defineMacro("\\alefsym","\\aleph");defineMacro("\\Alpha","\\mathrm{A}");defineMacro("\\Beta","\\mathrm{B}");defineMacro("\\bull","\\bullet");defineMacro("\\Chi","\\mathrm{X}");defineMacro("\\clubs","\\clubsuit");defineMacro("\\cnums","\\mathbb{C}");defineMacro("\\Complex","\\mathbb{C}");defineMacro("\\Dagger","\\ddagger");defineMacro(
+"\\diamonds","\\diamondsuit");defineMacro("\\empty","\\emptyset");defineMacro("\\Epsilon","\\mathrm{E}");defineMacro("\\Eta","\\mathrm{H}");defineMacro("\\exist","\\exists");defineMacro("\\harr","\\leftrightarrow");defineMacro("\\hArr","\\Leftrightarrow");defineMacro("\\Harr","\\Leftrightarrow");defineMacro("\\hearts","\\heartsuit");defineMacro("\\image","\\Im");defineMacro("\\infin","\\infty");defineMacro("\\Iota","\\mathrm{I}");defineMacro("\\isin","\\in");defineMacro("\\Kappa","\\mathrm{K}");
+defineMacro("\\larr","\\leftarrow");defineMacro("\\lArr","\\Leftarrow");defineMacro("\\Larr","\\Leftarrow");defineMacro("\\lrarr","\\leftrightarrow");defineMacro("\\lrArr","\\Leftrightarrow");defineMacro("\\Lrarr","\\Leftrightarrow");defineMacro("\\Mu","\\mathrm{M}");defineMacro("\\natnums","\\mathbb{N}");defineMacro("\\Nu","\\mathrm{N}");defineMacro("\\Omicron","\\mathrm{O}");defineMacro("\\plusmn","\\pm");defineMacro("\\rarr","\\rightarrow");defineMacro("\\rArr","\\Rightarrow");defineMacro("\\R\
+arr","\\Rightarrow");defineMacro("\\real","\\Re");defineMacro("\\reals","\\mathbb{R}");defineMacro("\\Reals","\\mathbb{R}");defineMacro("\\Rho","\\mathrm{P}");defineMacro("\\sdot","\\cdot");defineMacro("\\sect","\\S");defineMacro("\\spades","\\spadesuit");defineMacro("\\sub","\\subset");defineMacro("\\sube","\\subseteq");defineMacro("\\supe","\\supseteq");defineMacro("\\Tau","\\mathrm{T}");defineMacro("\\thetasym","\\vartheta");defineMacro("\\weierp","\\wp");defineMacro("\\Zeta","\\mathrm{Z}");defineMacro(
+"\\argmin","\\DOTSB\\operatorname*{arg\\,min}");defineMacro("\\argmax","\\DOTSB\\operatorname*{arg\\,max}");defineMacro("\\plim","\\DOTSB\\mathop{\\operatorname{plim}}\\limits");defineMacro("\\bra","\\mathinner{\\langle{#1}|}");defineMacro("\\ket","\\mathinner{|{#1}\\rangle}");defineMacro("\\braket","\\mathinner{\\langle{#1}\\rangle}");defineMacro("\\Bra","\\left\\langle#1\\right|");defineMacro("\\Ket","\\left|#1\\right\\rangle");var braketHelper=one2=>context=>{var left=context.consumeArg().tokens,
+middle=context.consumeArg().tokens,middleDouble=context.consumeArg().tokens,right=context.consumeArg().tokens,oldMiddle=context.macros.get("|"),oldMiddleDouble=context.macros.get("\\|");context.macros.beginGroup();var midMacro=double=>context2=>{one2&&(context2.macros.set("|",oldMiddle),middleDouble.length&&context2.macros.set("\\|",oldMiddleDouble));var doubled=double;if(!double&&middleDouble.length){var nextToken=context2.future();nextToken.text==="|"&&(context2.popToken(),doubled=!0)}return{tokens:doubled?
+middleDouble:middle,numArgs:0}};context.macros.set("|",midMacro(!1)),middleDouble.length&&context.macros.set("\\|",midMacro(!0));var arg=context.consumeArg().tokens,expanded=context.expandTokens([...right,...arg,...left]);return context.macros.endGroup(),{tokens:expanded.reverse(),numArgs:0}};defineMacro("\\bra@ket",braketHelper(!1));defineMacro("\\bra@set",braketHelper(!0));defineMacro("\\Braket","\\bra@ket{\\left\\langle}{\\,\\middle\\vert\\,}{\\,\\middle\\vert\\,}{\\right\\rangle}");defineMacro(
+"\\Set","\\bra@set{\\left\\{\\:}{\\;\\middle\\vert\\;}{\\;\\middle\\Vert\\;}{\\:\\right\\}}");defineMacro("\\set","\\bra@set{\\{\\,}{\\mid}{}{\\,\\}}");defineMacro("\\angln","{\\angl n}");defineMacro("\\blue","\\textcolor{##6495ed}{#1}");defineMacro("\\orange","\\textcolor{##ffa500}{#1}");defineMacro("\\pink","\\textcolor{##ff00af}{#1}");defineMacro("\\red","\\textcolor{##df0030}{#1}");defineMacro("\\green","\\textcolor{##28ae7b}{#1}");defineMacro("\\gray","\\textcolor{gray}{#1}");defineMacro("\\\
+purple","\\textcolor{##9d38bd}{#1}");defineMacro("\\blueA","\\textcolor{##ccfaff}{#1}");defineMacro("\\blueB","\\textcolor{##80f6ff}{#1}");defineMacro("\\blueC","\\textcolor{##63d9ea}{#1}");defineMacro("\\blueD","\\textcolor{##11accd}{#1}");defineMacro("\\blueE","\\textcolor{##0c7f99}{#1}");defineMacro("\\tealA","\\textcolor{##94fff5}{#1}");defineMacro("\\tealB","\\textcolor{##26edd5}{#1}");defineMacro("\\tealC","\\textcolor{##01d1c1}{#1}");defineMacro("\\tealD","\\textcolor{##01a995}{#1}");defineMacro(
+"\\tealE","\\textcolor{##208170}{#1}");defineMacro("\\greenA","\\textcolor{##b6ffb0}{#1}");defineMacro("\\greenB","\\textcolor{##8af281}{#1}");defineMacro("\\greenC","\\textcolor{##74cf70}{#1}");defineMacro("\\greenD","\\textcolor{##1fab54}{#1}");defineMacro("\\greenE","\\textcolor{##0d923f}{#1}");defineMacro("\\goldA","\\textcolor{##ffd0a9}{#1}");defineMacro("\\goldB","\\textcolor{##ffbb71}{#1}");defineMacro("\\goldC","\\textcolor{##ff9c39}{#1}");defineMacro("\\goldD","\\textcolor{##e07d10}{#1}");
+defineMacro("\\goldE","\\textcolor{##a75a05}{#1}");defineMacro("\\redA","\\textcolor{##fca9a9}{#1}");defineMacro("\\redB","\\textcolor{##ff8482}{#1}");defineMacro("\\redC","\\textcolor{##f9685d}{#1}");defineMacro("\\redD","\\textcolor{##e84d39}{#1}");defineMacro("\\redE","\\textcolor{##bc2612}{#1}");defineMacro("\\maroonA","\\textcolor{##ffbde0}{#1}");defineMacro("\\maroonB","\\textcolor{##ff92c6}{#1}");defineMacro("\\maroonC","\\textcolor{##ed5fa6}{#1}");defineMacro("\\maroonD","\\textcolor{##ca\
+337c}{#1}");defineMacro("\\maroonE","\\textcolor{##9e034e}{#1}");defineMacro("\\purpleA","\\textcolor{##ddd7ff}{#1}");defineMacro("\\purpleB","\\textcolor{##c6b9fc}{#1}");defineMacro("\\purpleC","\\textcolor{##aa87ff}{#1}");defineMacro("\\purpleD","\\textcolor{##7854ab}{#1}");defineMacro("\\purpleE","\\textcolor{##543b78}{#1}");defineMacro("\\mintA","\\textcolor{##f5f9e8}{#1}");defineMacro("\\mintB","\\textcolor{##edf2df}{#1}");defineMacro("\\mintC","\\textcolor{##e0e5cc}{#1}");defineMacro("\\gra\
+yA","\\textcolor{##f6f7f7}{#1}");defineMacro("\\grayB","\\textcolor{##f0f1f2}{#1}");defineMacro("\\grayC","\\textcolor{##e3e5e6}{#1}");defineMacro("\\grayD","\\textcolor{##d6d8da}{#1}");defineMacro("\\grayE","\\textcolor{##babec2}{#1}");defineMacro("\\grayF","\\textcolor{##888d93}{#1}");defineMacro("\\grayG","\\textcolor{##626569}{#1}");defineMacro("\\grayH","\\textcolor{##3b3e40}{#1}");defineMacro("\\grayI","\\textcolor{##21242c}{#1}");defineMacro("\\kaBlue","\\textcolor{##314453}{#1}");defineMacro(
+"\\kaGreen","\\textcolor{##71B307}{#1}");var implicitCommands={"^":!0,_:!0,"\\limits":!0,"\\nolimits":!0};class MacroExpander{constructor(input,settings,mode){this.settings=void 0,this.expansionCount=void 0,this.lexer=void 0,this.macros=void 0,this.stack=void 0,this.mode=void 0,this.settings=settings,this.expansionCount=0,this.feed(input),this.macros=new Namespace(macros,settings.macros),this.mode=mode,this.stack=[]}feed(input){this.lexer=new Lexer(input,this.settings)}switchMode(newMode){this.mode=
+newMode}beginGroup(){this.macros.beginGroup()}endGroup(){this.macros.endGroup()}endGroups(){this.macros.endGroups()}future(){return this.stack.length===0&&this.pushToken(this.lexer.lex()),this.stack[this.stack.length-1]}popToken(){return this.future(),this.stack.pop()}pushToken(token2){this.stack.push(token2)}pushTokens(tokens){this.stack.push(...tokens)}scanArgument(isOptional){var start2,end,tokens;if(isOptional){if(this.consumeSpaces(),this.future().text!=="[")return null;start2=this.popToken(),
+{tokens,end}=this.consumeArg(["]"])}else({tokens,start:start2,end}=this.consumeArg());return this.pushToken(new Token("EOF",end.loc)),this.pushTokens(tokens),start2.range(end,"")}consumeSpaces(){for(;;){var token2=this.future();if(token2.text===" ")this.stack.pop();else break}}consumeArg(delims){var tokens=[],isDelimited=delims&&delims.length>0;isDelimited||this.consumeSpaces();var start2=this.future(),tok,depth=0,match=0;do{if(tok=this.popToken(),tokens.push(tok),tok.text==="{")++depth;else if(tok.
+text==="}"){if(--depth,depth===-1)throw new ParseError2("Extra }",tok)}else if(tok.text==="EOF")throw new ParseError2("Unexpected end of input in a macro argument, expected '"+(delims&&isDelimited?delims[match]:"}")+"'",tok);if(delims&&isDelimited)if((depth===0||depth===1&&delims[match]==="{")&&tok.text===delims[match]){if(++match,match===delims.length){tokens.splice(-match,match);break}}else match=0}while(depth!==0||isDelimited);return start2.text==="{"&&tokens[tokens.length-1].text==="}"&&(tokens.
+pop(),tokens.shift()),tokens.reverse(),{tokens,start:start2,end:tok}}consumeArgs(numArgs,delimiters2){if(delimiters2){if(delimiters2.length!==numArgs+1)throw new ParseError2("The length of delimiters doesn't match the number of args!");for(var delims=delimiters2[0],i=0;i<delims.length;i++){var tok=this.popToken();if(delims[i]!==tok.text)throw new ParseError2("Use of the macro doesn't match its definition",tok)}}for(var args=[],_i=0;_i<numArgs;_i++)args.push(this.consumeArg(delimiters2&&delimiters2[_i+
+1]).tokens);return args}countExpansion(amount){if(this.expansionCount+=amount,this.expansionCount>this.settings.maxExpand)throw new ParseError2("Too many expansions: infinite loop or need to increase maxExpand setting")}expandOnce(expandableOnly){var topToken=this.popToken(),name=topToken.text,expansion=topToken.noexpand?null:this._getExpansion(name);if(expansion==null||expandableOnly&&expansion.unexpandable){if(expandableOnly&&expansion==null&&name[0]==="\\"&&!this.isDefined(name))throw new ParseError2(
+"Undefined control sequence: "+name);return this.pushToken(topToken),!1}this.countExpansion(1);var tokens=expansion.tokens,args=this.consumeArgs(expansion.numArgs,expansion.delimiters);if(expansion.numArgs){tokens=tokens.slice();for(var i=tokens.length-1;i>=0;--i){var tok=tokens[i];if(tok.text==="#"){if(i===0)throw new ParseError2("Incomplete placeholder at end of macro body",tok);if(tok=tokens[--i],tok.text==="#")tokens.splice(i+1,1);else if(/^[1-9]$/.test(tok.text))tokens.splice(i,2,...args[+tok.
+text-1]);else throw new ParseError2("Not a valid argument number",tok)}}}return this.pushTokens(tokens),tokens.length}expandAfterFuture(){return this.expandOnce(),this.future()}expandNextToken(){for(;;)if(this.expandOnce()===!1){var token2=this.stack.pop();return token2.treatAsRelax&&(token2.text="\\relax"),token2}throw new Error}expandMacro(name){return this.macros.has(name)?this.expandTokens([new Token(name)]):void 0}expandTokens(tokens){var output=[],oldStackLength=this.stack.length;for(this.
+pushTokens(tokens);this.stack.length>oldStackLength;)if(this.expandOnce(!0)===!1){var token2=this.stack.pop();token2.treatAsRelax&&(token2.noexpand=!1,token2.treatAsRelax=!1),output.push(token2)}return this.countExpansion(output.length),output}expandMacroAsText(name){var tokens=this.expandMacro(name);return tokens&&tokens.map(token2=>token2.text).join("")}_getExpansion(name){var definition2=this.macros.get(name);if(definition2==null)return definition2;if(name.length===1){var catcode=this.lexer.catcodes[name];
+if(catcode!=null&&catcode!==13)return}var expansion=typeof definition2=="function"?definition2(this):definition2;if(typeof expansion=="string"){var numArgs=0;if(expansion.indexOf("#")!==-1)for(var stripped=expansion.replace(/##/g,"");stripped.indexOf("#"+(numArgs+1))!==-1;)++numArgs;for(var bodyLexer=new Lexer(expansion,this.settings),tokens=[],tok=bodyLexer.lex();tok.text!=="EOF";)tokens.push(tok),tok=bodyLexer.lex();tokens.reverse();var expanded={tokens,numArgs};return expanded}return expansion}isDefined(name){
+return this.macros.has(name)||functions.hasOwnProperty(name)||symbols.math.hasOwnProperty(name)||symbols.text.hasOwnProperty(name)||implicitCommands.hasOwnProperty(name)}isExpandable(name){var macro=this.macros.get(name);return macro!=null?typeof macro=="string"||typeof macro=="function"||!macro.unexpandable:functions.hasOwnProperty(name)&&!functions[name].primitive}}var unicodeSubRegEx=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,
+uSubsAndSups=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4",
+"⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"\
+ϕ","ᵡ":"χ","ᶿ":"θ"}),unicodeAccents={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},unicodeSymbols={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",
+ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"\
+í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",
+ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"\
+Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"\
+Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",
+Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"\
+ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};class Parser{constructor(input,settings){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new MacroExpander(
+input,settings,this.mode),this.settings=settings,this.leftrightDepth=0}expect(text2,consume){if(consume===void 0&&(consume=!0),this.fetch().text!==text2)throw new ParseError2("Expected '"+text2+"', got '"+this.fetch().text+"'",this.fetch());consume&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(newMode){this.mode=newMode,this.gullet.switchMode(newMode)}parse(){this.settings.globalGroup||this.
+gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var parse2=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),parse2}finally{this.gullet.endGroups()}}subparse(tokens){var oldToken=this.nextToken;this.consume(),this.gullet.pushToken(new Token("}")),this.gullet.pushTokens(tokens);var parse2=this.parseExpression(!1);return this.expect("}"),this.nextToken=oldToken,parse2}parseExpression(breakOnInfix,breakOnTokenText){
+for(var body2=[];;){this.mode==="math"&&this.consumeSpaces();var lex=this.fetch();if(Parser.endOfExpression.indexOf(lex.text)!==-1||breakOnTokenText&&lex.text===breakOnTokenText||breakOnInfix&&functions[lex.text]&&functions[lex.text].infix)break;var atom=this.parseAtom(breakOnTokenText);if(atom){if(atom.type==="internal")continue}else break;body2.push(atom)}return this.mode==="text"&&this.formLigatures(body2),this.handleInfixNodes(body2)}handleInfixNodes(body2){for(var overIndex=-1,funcName,i=0;i<
+body2.length;i++)if(body2[i].type==="infix"){if(overIndex!==-1)throw new ParseError2("only one infix operator per group",body2[i].token);overIndex=i,funcName=body2[i].replaceWith}if(overIndex!==-1&&funcName){var numerNode,denomNode,numerBody=body2.slice(0,overIndex),denomBody=body2.slice(overIndex+1);numerBody.length===1&&numerBody[0].type==="ordgroup"?numerNode=numerBody[0]:numerNode={type:"ordgroup",mode:this.mode,body:numerBody},denomBody.length===1&&denomBody[0].type==="ordgroup"?denomNode=denomBody[0]:
+denomNode={type:"ordgroup",mode:this.mode,body:denomBody};var node2;return funcName==="\\\\abovefrac"?node2=this.callFunction(funcName,[numerNode,body2[overIndex],denomNode],[]):node2=this.callFunction(funcName,[numerNode,denomNode],[]),[node2]}else return body2}handleSupSubscript(name){var symbolToken=this.fetch(),symbol=symbolToken.text;this.consume(),this.consumeSpaces();var group;do{var _group;group=this.parseGroup(name)}while(((_group=group)==null?void 0:_group.type)==="internal");if(!group)
+throw new ParseError2("Expected group after '"+symbol+"'",symbolToken);return group}formatUnsupportedCmd(text2){for(var textordArray=[],i=0;i<text2.length;i++)textordArray.push({type:"textord",mode:"text",text:text2[i]});var textNode={type:"text",mode:this.mode,body:textordArray},colorNode={type:"color",mode:this.mode,color:this.settings.errorColor,body:[textNode]};return colorNode}parseAtom(breakOnTokenText){var base2=this.parseGroup("atom",breakOnTokenText);if(base2?.type==="internal"||this.mode===
+"text")return base2;for(var superscript,subscript;;){this.consumeSpaces();var lex=this.fetch();if(lex.text==="\\limits"||lex.text==="\\nolimits"){if(base2&&base2.type==="op"){var limits=lex.text==="\\limits";base2.limits=limits,base2.alwaysHandleSupSub=!0}else if(base2&&base2.type==="operatorname")base2.alwaysHandleSupSub&&(base2.limits=lex.text==="\\limits");else throw new ParseError2("Limit controls must follow a math operator",lex);this.consume()}else if(lex.text==="^"){if(superscript)throw new ParseError2(
+"Double superscript",lex);superscript=this.handleSupSubscript("superscript")}else if(lex.text==="_"){if(subscript)throw new ParseError2("Double subscript",lex);subscript=this.handleSupSubscript("subscript")}else if(lex.text==="'"){if(superscript)throw new ParseError2("Double superscript",lex);var prime={type:"textord",mode:this.mode,text:"\\prime"},primes=[prime];for(this.consume();this.fetch().text==="'";)primes.push(prime),this.consume();this.fetch().text==="^"&&primes.push(this.handleSupSubscript(
+"superscript")),superscript={type:"ordgroup",mode:this.mode,body:primes}}else if(uSubsAndSups[lex.text]){var isSub=unicodeSubRegEx.test(lex.text),subsupTokens=[];for(subsupTokens.push(new Token(uSubsAndSups[lex.text])),this.consume();;){var token2=this.fetch().text;if(!uSubsAndSups[token2]||unicodeSubRegEx.test(token2)!==isSub)break;subsupTokens.unshift(new Token(uSubsAndSups[token2])),this.consume()}var body2=this.subparse(subsupTokens);isSub?subscript={type:"ordgroup",mode:"math",body:body2}:superscript=
+{type:"ordgroup",mode:"math",body:body2}}else break}return superscript||subscript?{type:"supsub",mode:this.mode,base:base2,sup:superscript,sub:subscript}:base2}parseFunction(breakOnTokenText,name){var token2=this.fetch(),func=token2.text,funcData=functions[func];if(!funcData)return null;if(this.consume(),name&&name!=="atom"&&!funcData.allowedInArgument)throw new ParseError2("Got function '"+func+"' with no arguments"+(name?" as "+name:""),token2);if(this.mode==="text"&&!funcData.allowedInText)throw new ParseError2(
+"Can't use function '"+func+"' in text mode",token2);if(this.mode==="math"&&funcData.allowedInMath===!1)throw new ParseError2("Can't use function '"+func+"' in math mode",token2);var{args,optArgs}=this.parseArguments(func,funcData);return this.callFunction(func,args,optArgs,token2,breakOnTokenText)}callFunction(name,args,optArgs,token2,breakOnTokenText){var context={funcName:name,parser:this,token:token2,breakOnTokenText},func=functions[name];if(func&&func.handler)return func.handler(context,args,
+optArgs);throw new ParseError2("No function handler for "+name)}parseArguments(func,funcData){var totalArgs=funcData.numArgs+funcData.numOptionalArgs;if(totalArgs===0)return{args:[],optArgs:[]};for(var args=[],optArgs=[],i=0;i<totalArgs;i++){var argType=funcData.argTypes&&funcData.argTypes[i],isOptional=i<funcData.numOptionalArgs;(funcData.primitive&&argType==null||funcData.type==="sqrt"&&i===1&&optArgs[0]==null)&&(argType="primitive");var arg=this.parseGroupOfType("argument to '"+func+"'",argType,
+isOptional);if(isOptional)optArgs.push(arg);else if(arg!=null)args.push(arg);else throw new ParseError2("Null argument, please report this as a bug")}return{args,optArgs}}parseGroupOfType(name,type2,optional2){switch(type2){case"color":return this.parseColorGroup(optional2);case"size":return this.parseSizeGroup(optional2);case"url":return this.parseUrlGroup(optional2);case"math":case"text":return this.parseArgumentGroup(optional2,type2);case"hbox":{var group=this.parseArgumentGroup(optional2,"te\
+xt");return group!=null?{type:"styling",mode:group.mode,body:[group],style:"text"}:null}case"raw":{var token2=this.parseStringGroup("raw",optional2);return token2!=null?{type:"raw",mode:"text",string:token2.text}:null}case"primitive":{if(optional2)throw new ParseError2("A primitive argument cannot be optional");var _group2=this.parseGroup(name);if(_group2==null)throw new ParseError2("Expected group as "+name,this.fetch());return _group2}case"original":case null:case void 0:return this.parseArgumentGroup(
+optional2);default:throw new ParseError2("Unknown group type as "+name,this.fetch())}}consumeSpaces(){for(;this.fetch().text===" ";)this.consume()}parseStringGroup(modeName,optional2){var argToken=this.gullet.scanArgument(optional2);if(argToken==null)return null;for(var str="",nextToken;(nextToken=this.fetch()).text!=="EOF";)str+=nextToken.text,this.consume();return this.consume(),argToken.text=str,argToken}parseRegexGroup(regex,modeName){for(var firstToken=this.fetch(),lastToken=firstToken,str="",
+nextToken;(nextToken=this.fetch()).text!=="EOF"&&regex.test(str+nextToken.text);)lastToken=nextToken,str+=lastToken.text,this.consume();if(str==="")throw new ParseError2("Invalid "+modeName+": '"+firstToken.text+"'",firstToken);return firstToken.range(lastToken,str)}parseColorGroup(optional2){var res=this.parseStringGroup("color",optional2);if(res==null)return null;var match=/^(#[a-f0-9]{3}|#?[a-f0-9]{6}|[a-z]+)$/i.exec(res.text);if(!match)throw new ParseError2("Invalid color: '"+res.text+"'",res);
+var color=match[0];return/^[0-9a-f]{6}$/i.test(color)&&(color="#"+color),{type:"color-token",mode:this.mode,color}}parseSizeGroup(optional2){var res,isBlank=!1;if(this.gullet.consumeSpaces(),!optional2&&this.gullet.future().text!=="{"?res=this.parseRegexGroup(/^[-+]? *(?:$|\d+|\d+\.\d*|\.\d*) *[a-z]{0,2} *$/,"size"):res=this.parseStringGroup("size",optional2),!res)return null;!optional2&&res.text.length===0&&(res.text="0pt",isBlank=!0);var match=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(
+res.text);if(!match)throw new ParseError2("Invalid size: '"+res.text+"'",res);var data={number:+(match[1]+match[2]),unit:match[3]};if(!validUnit(data))throw new ParseError2("Invalid unit: '"+data.unit+"'",res);return{type:"size",mode:this.mode,value:data,isBlank}}parseUrlGroup(optional2){this.gullet.lexer.setCatcode("%",13),this.gullet.lexer.setCatcode("~",12);var res=this.parseStringGroup("url",optional2);if(this.gullet.lexer.setCatcode("%",14),this.gullet.lexer.setCatcode("~",13),res==null)return null;
+var url2=res.text.replace(/\\([#$%&~_^{}])/g,"$1");return{type:"url",mode:this.mode,url:url2}}parseArgumentGroup(optional2,mode){var argToken=this.gullet.scanArgument(optional2);if(argToken==null)return null;var outerMode=this.mode;mode&&this.switchMode(mode),this.gullet.beginGroup();var expression=this.parseExpression(!1,"EOF");this.expect("EOF"),this.gullet.endGroup();var result={type:"ordgroup",mode:this.mode,loc:argToken.loc,body:expression};return mode&&this.switchMode(outerMode),result}parseGroup(name,breakOnTokenText){
+var firstToken=this.fetch(),text2=firstToken.text,result;if(text2==="{"||text2==="\\begingroup"){this.consume();var groupEnd=text2==="{"?"}":"\\endgroup";this.gullet.beginGroup();var expression=this.parseExpression(!1,groupEnd),lastToken=this.fetch();this.expect(groupEnd),this.gullet.endGroup(),result={type:"ordgroup",mode:this.mode,loc:SourceLocation.range(firstToken,lastToken),body:expression,semisimple:text2==="\\begingroup"||void 0}}else if(result=this.parseFunction(breakOnTokenText,name)||this.
+parseSymbol(),result==null&&text2[0]==="\\"&&!implicitCommands.hasOwnProperty(text2)){if(this.settings.throwOnError)throw new ParseError2("Undefined control sequence: "+text2,firstToken);result=this.formatUnsupportedCmd(text2),this.consume()}return result}formLigatures(group){for(var n=group.length-1,i=0;i<n;++i){var a=group[i],v=a.text;v==="-"&&group[i+1].text==="-"&&(i+1<n&&group[i+2].text==="-"?(group.splice(i,3,{type:"textord",mode:"text",loc:SourceLocation.range(a,group[i+2]),text:"---"}),n-=
+2):(group.splice(i,2,{type:"textord",mode:"text",loc:SourceLocation.range(a,group[i+1]),text:"--"}),n-=1)),(v==="'"||v==="`")&&group[i+1].text===v&&(group.splice(i,2,{type:"textord",mode:"text",loc:SourceLocation.range(a,group[i+1]),text:v+v}),n-=1)}}parseSymbol(){var nucleus=this.fetch(),text2=nucleus.text;if(/^\\verb[^a-zA-Z]/.test(text2)){this.consume();var arg=text2.slice(5),star=arg.charAt(0)==="*";if(star&&(arg=arg.slice(1)),arg.length<2||arg.charAt(0)!==arg.slice(-1))throw new ParseError2(
+`\\verb assertion failed --
+                    please report what input caused this bug`);return arg=arg.slice(1,-1),{type:"verb",mode:"text",body:arg,star}}unicodeSymbols.hasOwnProperty(text2[0])&&!symbols[this.mode][text2[0]]&&(this.settings.strict&&this.mode==="math"&&this.settings.reportNonstrict("unicodeTextInMathMode",'Accented Unicode text character "'+text2[0]+'" used in math mode',nucleus),text2=unicodeSymbols[text2[0]]+text2.slice(1));var match=combiningDiacriticalMarksEndRegex.exec(text2);match&&(text2=text2.substring(
+0,match.index),text2==="i"?text2="ı":text2==="j"&&(text2="ȷ"));var symbol;if(symbols[this.mode][text2]){this.settings.strict&&this.mode==="math"&&extraLatin.indexOf(text2)>=0&&this.settings.reportNonstrict("unicodeTextInMathMode",'Latin-1/Unicode text character "'+text2[0]+'" used in math mode',nucleus);var group=symbols[this.mode][text2].group,loc=SourceLocation.range(nucleus),s2;if(ATOMS.hasOwnProperty(group)){var family=group;s2={type:"atom",mode:this.mode,family,loc,text:text2}}else s2={type:group,
+mode:this.mode,loc,text:text2};symbol=s2}else if(text2.charCodeAt(0)>=128)this.settings.strict&&(supportedCodepoint(text2.charCodeAt(0))?this.mode==="math"&&this.settings.reportNonstrict("unicodeTextInMathMode",'Unicode text character "'+text2[0]+'" used in math mode',nucleus):this.settings.reportNonstrict("unknownSymbol",'Unrecognized Unicode character "'+text2[0]+'"'+(" ("+text2.charCodeAt(0)+")"),nucleus)),symbol={type:"textord",mode:"text",loc:SourceLocation.range(nucleus),text:text2};else return null;
+if(this.consume(),match)for(var i=0;i<match[0].length;i++){var accent2=match[0][i];if(!unicodeAccents[accent2])throw new ParseError2("Unknown accent ' "+accent2+"'",nucleus);var command=unicodeAccents[accent2][this.mode]||unicodeAccents[accent2].text;if(!command)throw new ParseError2("Accent "+accent2+" unsupported in "+this.mode+" mode",nucleus);symbol={type:"accent",mode:this.mode,loc:SourceLocation.range(nucleus),label:command,isStretchy:!1,isShifty:!0,base:symbol}}return symbol}}Parser.endOfExpression=
+["}","\\endgroup","\\end","\\right","&"];var parseTree=function(toParse,settings){if(!(typeof toParse=="string"||toParse instanceof String))throw new TypeError("KaTeX can only parse string typed expression");var parser=new Parser(toParse,settings);delete parser.gullet.macros.current["\\df@tag"];var tree=parser.parse();if(delete parser.gullet.macros.current["\\current@color"],delete parser.gullet.macros.current["\\color"],parser.gullet.macros.get("\\df@tag")){if(!settings.displayMode)throw new ParseError2(
+"\\tag works only in display equations");tree=[{type:"tag",mode:"text",body:tree,tag:parser.subparse([new Token("\\df@tag")])}]}return tree},render=function(expression,baseNode,options){baseNode.textContent="";var node2=renderToDomTree(expression,options).toNode();baseNode.appendChild(node2)};typeof document<"u"&&document.compatMode!=="CSS1Compat"&&(typeof console<"u"&&console.warn("Warning: KaTeX doesn't work in quirks mode. Make sure your website has a suitable doctype."),render=function(){throw new ParseError2(
+"KaTeX doesn't work in quirks mode.")});var renderToString=function(expression,options){var markup=renderToDomTree(expression,options).toMarkup();return markup},generateParseTree=function(expression,options){var settings=new Settings(options);return parseTree(expression,settings)},renderError=function(error2,expression,options){if(options.throwOnError||!(error2 instanceof ParseError2))throw error2;var node2=buildCommon.makeSpan(["katex-error"],[new SymbolNode(expression)]);return node2.setAttribute(
+"title",error2.toString()),node2.setAttribute("style","color:"+options.errorColor),node2},renderToDomTree=function(expression,options){var settings=new Settings(options);try{var tree=parseTree(expression,settings);return buildTree(tree,expression,settings)}catch(error2){return renderError(error2,expression,settings)}},renderToHTMLTree=function(expression,options){var settings=new Settings(options);try{var tree=parseTree(expression,settings);return buildHTMLTree(tree,expression,settings)}catch(error2){
+return renderError(error2,expression,settings)}},version="0.16.22",__domTree={Span,Anchor,SymbolNode,SvgNode,PathNode,LineNode},katex={version,render,renderToString,ParseError:ParseError2,SETTINGS_SCHEMA,__parse:generateParseTree,__renderToDomTree:renderToDomTree,__renderToHTMLTree:renderToHTMLTree,__setFontMetrics:setFontMetrics,__defineSymbol:defineSymbol,__defineFunction:defineFunction,__defineMacro:defineMacro,__domTree};const emptyOptions$5={};function remarkMath(options){const self2=this,settings=options||
+emptyOptions$5,data=self2.data(),micromarkExtensions=data.micromarkExtensions||(data.micromarkExtensions=[]),fromMarkdownExtensions=data.fromMarkdownExtensions||(data.fromMarkdownExtensions=[]),toMarkdownExtensions=data.toMarkdownExtensions||(data.toMarkdownExtensions=[]);micromarkExtensions.push(math$1(settings)),fromMarkdownExtensions.push(mathFromMarkdown()),toMarkdownExtensions.push(mathToMarkdown(settings))}const findAfter=function(parent,index2,test){const is2=convert(test);if(!parent||!parent.
+type||!parent.children)throw new Error("Expected parent node");if(typeof index2=="number"){if(index2<0||index2===Number.POSITIVE_INFINITY)throw new Error("Expected positive finite number as index")}else if(index2=parent.children.indexOf(index2),index2<0)throw new Error("Expected child node or index");for(;++index2<parent.children.length;)if(is2(parent.children[index2],index2,parent))return parent.children[index2]},convertElement=function(test){if(test==null)return element$2;if(typeof test=="stri\
+ng")return tagNameFactory(test);if(typeof test=="object")return anyFactory(test);if(typeof test=="function")return castFactory(test);throw new Error("Expected function, string, or array as `test`")};function anyFactory(tests){const checks2=[];let index2=-1;for(;++index2<tests.length;)checks2[index2]=convertElement(tests[index2]);return castFactory(any2);function any2(...parameters){let index3=-1;for(;++index3<checks2.length;)if(checks2[index3].apply(this,parameters))return!0;return!1}}function tagNameFactory(check){
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+ION_HISTORY_REMOVING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_CATEGORY_ACTION SYSRES_CONST_ADMINISTRATION\
+_HISTORY_UPDATING_CATEGORY_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION SYSRES_CONST_AD\
+MINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_P\
+ASSWORD_CHANGE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE_ACTION SYSRES_CONST_ALL_ACCEPT_CONDITION_RUS SYSRES_CONST_ALL_USERS_GROUP SYSRES_CONST_ALL_USERS_GROUP_NAME SYSRES_CONST_ALL_USERS_SERVER_GROUP_NAME SYSRES_CONST_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_APP_VIEWER_TYPE_REQUISITE_CODE SYSRES_CONST_APPROVING_SIGNATURE_NAME SYSRES_CONST_APPROVING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE SYSRES_CONST_ASSISTANT_SUBSTITUE_TY\
+PE_CODE SYSRES_CONST_ATTACH_TYPE_COMPONENT_TOKEN SYSRES_CONST_ATTACH_TYPE_DOC SYSRES_CONST_ATTACH_TYPE_EDOC SYSRES_CONST_ATTACH_TYPE_FOLDER SYSRES_CONST_ATTACH_TYPE_JOB SYSRES_CONST_ATTACH_TYPE_REFERENCE SYSRES_CONST_ATTACH_TYPE_TASK SYSRES_CONST_AUTH_ENCODED_PASSWORD SYSRES_CONST_AUTH_ENCODED_PASSWORD_CODE SYSRES_CONST_AUTH_NOVELL SYSRES_CONST_AUTH_PASSWORD SYSRES_CONST_AUTH_PASSWORD_CODE SYSRES_CONST_AUTH_WINDOWS SYSRES_CONST_AUTHENTICATING_SIGNATURE_NAME SYSRES_CONST_AUTHENTICATING_SIGNATURE_\
+REQUISITE_CODE SYSRES_CONST_AUTO_ENUM_METHOD_FLAG SYSRES_CONST_AUTO_NUMERATION_CODE SYSRES_CONST_AUTO_STRONG_ENUM_METHOD_FLAG SYSRES_CONST_AUTOTEXT_NAME_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_TEXT_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_USAGE_ALL SYSRES_CONST_AUTOTEXT_USAGE_ALL_CODE SYSRES_CONST_AUTOTEXT_USAGE_SIGN SYSRES_CONST_AUTOTEXT_USAGE_SIGN_CODE SYSRES_CONST_AUTOTEXT_USAGE_WORK SYSRES_CONST_AUTOTEXT_USAGE_WORK_CODE SYSRES_CONST_AUTOTEXT_USE_ANYWHERE_CODE SYSRES_CONST_AUTOTEXT_USE_ON_SIGNING_CO\
+DE SYSRES_CONST_AUTOTEXT_USE_ON_WORK_CODE SYSRES_CONST_BEGIN_DATE_REQUISITE_CODE SYSRES_CONST_BLACK_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BLUE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BTN_PART SYSRES_CONST_CALCULATED_ROLE_TYPE_CODE SYSRES_CONST_CALL_TYPE_VARIABLE_BUTTON_VALUE SYSRES_CONST_CALL_TYPE_VARIABLE_PROGRAM_VALUE SYSRES_CONST_CANCEL_MESSAGE_FUNCTION_RESULT SYSRES_CONST_CARD_PART SYSRES_CONST_CARD_REFERENCE_MODE_NAME SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_ENCRYPT_VALUE SYSRES_CONST_CE\
+RTIFICATE_TYPE_REQUISITE_SIGN_AND_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_VALUE SYSRES_CONST_CHECK_PARAM_VALUE_DATE_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_FLOAT_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_INTEGER_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_PICK_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_REEFRENCE_PARAM_TYPE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_CODE_COMPONENT_TYPE_ADMIN SYSRES_CONST_CODE_COMPO\
+NENT_TYPE_DEVELOPER SYSRES_CONST_CODE_COMPONENT_TYPE_DOCS SYSRES_CONST_CODE_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_CODE_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_CODE_COMPONENT_TYPE_OTHER SYSRES_CONST_CODE_COMPONENT_TYPE_REFERENCE SYSRES_CONST_CODE_COMPONENT_TYPE_REPORT SYSRES_CONST_CODE_COMPONENT_TYPE_SCRIPT SYSRES_CONST_CODE_COMPONENT_TYPE_URL SYSRES_CONST_CODE_REQUISITE_ACCESS SYSRES_CONST_CODE_REQUISITE_CODE SYSRES_CONST_CODE_REQUISITE_COMPONENT SYSRES_CONST_CODE_REQUISITE_DESCRIPTION \
+SYSRES_CONST_CODE_REQUISITE_EXCLUDE_COMPONENT SYSRES_CONST_CODE_REQUISITE_RECORD SYSRES_CONST_COMMENT_REQ_CODE SYSRES_CONST_COMMON_SETTINGS_REQUISITE_CODE SYSRES_CONST_COMP_CODE_GRD SYSRES_CONST_COMPONENT_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_COMPONENT_TYPE_ADMIN_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DEVELOPER_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DOCS SYSRES_CONST_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_COMPONENT_TYPE_EDOCS SYSRES_CONST_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_COMPONEN\
+T_TYPE_OTHER SYSRES_CONST_COMPONENT_TYPE_REFERENCE_TYPES SYSRES_CONST_COMPONENT_TYPE_REFERENCES SYSRES_CONST_COMPONENT_TYPE_REPORTS SYSRES_CONST_COMPONENT_TYPE_SCRIPTS SYSRES_CONST_COMPONENT_TYPE_URL SYSRES_CONST_COMPONENTS_REMOTE_SERVERS_VIEW_CODE SYSRES_CONST_CONDITION_BLOCK_DESCRIPTION SYSRES_CONST_CONST_FIRM_STATUS_COMMON SYSRES_CONST_CONST_FIRM_STATUS_INDIVIDUAL SYSRES_CONST_CONST_NEGATIVE_VALUE SYSRES_CONST_CONST_POSITIVE_VALUE SYSRES_CONST_CONST_SERVER_STATUS_DONT_REPLICATE SYSRES_CONST_C\
+ONST_SERVER_STATUS_REPLICATE SYSRES_CONST_CONTENTS_REQUISITE_CODE SYSRES_CONST_DATA_TYPE_BOOLEAN SYSRES_CONST_DATA_TYPE_DATE SYSRES_CONST_DATA_TYPE_FLOAT SYSRES_CONST_DATA_TYPE_INTEGER SYSRES_CONST_DATA_TYPE_PICK SYSRES_CONST_DATA_TYPE_REFERENCE SYSRES_CONST_DATA_TYPE_STRING SYSRES_CONST_DATA_TYPE_TEXT SYSRES_CONST_DATA_TYPE_VARIANT SYSRES_CONST_DATE_CLOSE_REQ_CODE SYSRES_CONST_DATE_FORMAT_DATE_ONLY_CHAR SYSRES_CONST_DATE_OPEN_REQ_CODE SYSRES_CONST_DATE_REQUISITE SYSRES_CONST_DATE_REQUISITE_CODE\
+ SYSRES_CONST_DATE_REQUISITE_NAME SYSRES_CONST_DATE_REQUISITE_TYPE SYSRES_CONST_DATE_TYPE_CHAR SYSRES_CONST_DATETIME_FORMAT_VALUE SYSRES_CONST_DEA_ACCESS_RIGHTS_ACTION_CODE SYSRES_CONST_DESCRIPTION_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_DET1_PART SYSRES_CONST_DET2_PART SYSRES_CONST_DET3_PART SYSRES_CONST_DET4_PART SYSRES_CONST_DET5_PART SYSRES_CONST_DET6_PART SYSRES_CONST_DETAIL_DATASET_KEY_REQUISITE_CODE SYSRES_CONST_DETAIL_PICK_REQUISITE_CODE SYSRES_CON\
+ST_DETAIL_REQ_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_NAME SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_NAME SYSRES_CONST_DOCUMENT_STORAGES_CODE SYSRES_CONST_DOCUMENT_TEMPLATES_TYPE_NAME SYSRES_CONST_DOUBLE_REQUISITE_CODE SYSRES_CONST_EDITOR_CLOSE_FILE_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_CLOSE_PROCESS_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_TYPE_REQUISITE_CODE SYSRES_CONST_EDITORS_APPLICATION_NAME_REQUISITE_C\
+ODE SYSRES_CONST_EDITORS_CREATE_SEVERAL_PROCESSES_REQUISITE_CODE SYSRES_CONST_EDITORS_EXTENSION_REQUISITE_CODE SYSRES_CONST_EDITORS_OBSERVER_BY_PROCESS_TYPE SYSRES_CONST_EDITORS_REFERENCE_CODE SYSRES_CONST_EDITORS_REPLACE_SPEC_CHARS_REQUISITE_CODE SYSRES_CONST_EDITORS_USE_PLUGINS_REQUISITE_CODE SYSRES_CONST_EDITORS_VIEW_DOCUMENT_OPENED_TO_EDIT_CODE SYSRES_CONST_EDOC_CARD_TYPE_REQUISITE_CODE SYSRES_CONST_EDOC_CARD_TYPES_LINK_REQUISITE_CODE SYSRES_CONST_EDOC_CERTIFICATE_AND_PASSWORD_ENCODE_CODE SY\
+SRES_CONST_EDOC_CERTIFICATE_ENCODE_CODE SYSRES_CONST_EDOC_DATE_REQUISITE_CODE SYSRES_CONST_EDOC_KIND_REFERENCE_CODE SYSRES_CONST_EDOC_KINDS_BY_TEMPLATE_ACTION_CODE SYSRES_CONST_EDOC_MANAGE_ACCESS_CODE SYSRES_CONST_EDOC_NONE_ENCODE_CODE SYSRES_CONST_EDOC_NUMBER_REQUISITE_CODE SYSRES_CONST_EDOC_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_READONLY_ACCESS_CODE SYSRES_CONST_EDOC_SHELL_LIFE_TYPE_VIEW_VALUE SYSRES_CONST_EDOC_SIZE_RESTRICTION_PRIORITY_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_CHECK_ACCESS_RIG\
+HTS_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_COMPUTER_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_DATABASE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_EDIT_IN_STORAGE_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_LOCAL_PATH_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_SHARED_SOURCE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_EDOC_TYPES_REFERENCE_CODE SYSRES_CONST_EDOC_VERSION_ACTIVE_STAGE_CODE SYSRES_CONST_EDOC_VERSION_DESIGN_STAGE_CODE SYSRES_CONST_EDOC_VERSION_OBSOLET\
+E_STAGE_CODE SYSRES_CONST_EDOC_WRITE_ACCES_CODE SYSRES_CONST_EDOCUMENT_CARD_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_END_DATE_REQUISITE_CODE SYSRES_CONST_ENUMERATION_TYPE_REQUISITE_CODE SYSRES_CONST_EXECUTE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_EXECUTIVE_FILE_STORAGE_TYPE SYSRES_CONST_EXIST_CONST SYSRES_CONST_EXIST_VALUE SYSRES_CONST_EXPORT_LOCK_TYPE_ASK SYSRES_CONST_EXPORT_LOCK_TYPE_WITH_LOCK SYSRES_CONST_EXPORT_LOCK_TYPE_WITHOUT_LOCK SY\
+SRES_CONST_EXPORT_VERSION_TYPE_ASK SYSRES_CONST_EXPORT_VERSION_TYPE_LAST SYSRES_CONST_EXPORT_VERSION_TYPE_LAST_ACTIVE SYSRES_CONST_EXTENSION_REQUISITE_CODE SYSRES_CONST_FILTER_NAME_REQUISITE_CODE SYSRES_CONST_FILTER_REQUISITE_CODE SYSRES_CONST_FILTER_TYPE_COMMON_CODE SYSRES_CONST_FILTER_TYPE_COMMON_NAME SYSRES_CONST_FILTER_TYPE_USER_CODE SYSRES_CONST_FILTER_TYPE_USER_NAME SYSRES_CONST_FILTER_VALUE_REQUISITE_NAME SYSRES_CONST_FLOAT_NUMBER_FORMAT_CHAR SYSRES_CONST_FLOAT_REQUISITE_TYPE SYSRES_CONST\
+_FOLDER_AUTHOR_VALUE SYSRES_CONST_FOLDER_KIND_ANY_OBJECTS SYSRES_CONST_FOLDER_KIND_COMPONENTS SYSRES_CONST_FOLDER_KIND_EDOCS SYSRES_CONST_FOLDER_KIND_JOBS SYSRES_CONST_FOLDER_KIND_TASKS SYSRES_CONST_FOLDER_TYPE_COMMON SYSRES_CONST_FOLDER_TYPE_COMPONENT SYSRES_CONST_FOLDER_TYPE_FAVORITES SYSRES_CONST_FOLDER_TYPE_INBOX SYSRES_CONST_FOLDER_TYPE_OUTBOX SYSRES_CONST_FOLDER_TYPE_QUICK_LAUNCH SYSRES_CONST_FOLDER_TYPE_SEARCH SYSRES_CONST_FOLDER_TYPE_SHORTCUTS SYSRES_CONST_FOLDER_TYPE_USER SYSRES_CONST_F\
+ROM_DICTIONARY_ENUM_METHOD_FLAG SYSRES_CONST_FULL_SUBSTITUTE_TYPE SYSRES_CONST_FULL_SUBSTITUTE_TYPE_CODE SYSRES_CONST_FUNCTION_CANCEL_RESULT SYSRES_CONST_FUNCTION_CATEGORY_SYSTEM SYSRES_CONST_FUNCTION_CATEGORY_USER SYSRES_CONST_FUNCTION_FAILURE_RESULT SYSRES_CONST_FUNCTION_SAVE_RESULT SYSRES_CONST_GENERATED_REQUISITE SYSRES_CONST_GREEN_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_GROUP_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_NAME SYSRES_CONS\
+T_GROUP_CATEGORY_SERVICE_CODE SYSRES_CONST_GROUP_CATEGORY_SERVICE_NAME SYSRES_CONST_GROUP_COMMON_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_FULL_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_CODES_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_SERVICE_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_USER_REQUISITE_CODE SYSRES_CONST_GROUPS_REFERENCE_CODE SYSRES_CONST_GROUPS_REQUISITE_CODE SYSRES\
+_CONST_HIDDEN_MODE_NAME SYSRES_CONST_HIGH_LVL_REQUISITE_CODE SYSRES_CONST_HISTORY_ACTION_CREATE_CODE SYSRES_CONST_HISTORY_ACTION_DELETE_CODE SYSRES_CONST_HISTORY_ACTION_EDIT_CODE SYSRES_CONST_HOUR_CHAR SYSRES_CONST_ID_REQUISITE_CODE SYSRES_CONST_IDSPS_REQUISITE_CODE SYSRES_CONST_IMAGE_MODE_COLOR SYSRES_CONST_IMAGE_MODE_GREYSCALE SYSRES_CONST_IMAGE_MODE_MONOCHROME SYSRES_CONST_IMPORTANCE_HIGH SYSRES_CONST_IMPORTANCE_LOW SYSRES_CONST_IMPORTANCE_NORMAL SYSRES_CONST_IN_DESIGN_VERSION_STATE_PICK_VALU\
+E SYSRES_CONST_INCOMING_WORK_RULE_TYPE_CODE SYSRES_CONST_INT_REQUISITE SYSRES_CONST_INT_REQUISITE_TYPE SYSRES_CONST_INTEGER_NUMBER_FORMAT_CHAR SYSRES_CONST_INTEGER_TYPE_CHAR SYSRES_CONST_IS_GENERATED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_PUBLIC_ROLE_REQUISITE_CODE SYSRES_CONST_IS_REMOTE_USER_NEGATIVE_VALUE SYSRES_CONST_IS_REMOTE_USER_POSITIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_STORED_VALUE SYSRES_CONST_ITALIC_LIFE_CYCLE_STAGE_DRAW_STYLE SYSR\
+ES_CONST_JOB_BLOCK_DESCRIPTION SYSRES_CONST_JOB_KIND_CONTROL_JOB SYSRES_CONST_JOB_KIND_JOB SYSRES_CONST_JOB_KIND_NOTICE SYSRES_CONST_JOB_STATE_ABORTED SYSRES_CONST_JOB_STATE_COMPLETE SYSRES_CONST_JOB_STATE_WORKING SYSRES_CONST_KIND_REQUISITE_CODE SYSRES_CONST_KIND_REQUISITE_NAME SYSRES_CONST_KINDS_CREATE_SHADOW_COPIES_REQUISITE_CODE SYSRES_CONST_KINDS_DEFAULT_EDOC_LIFE_STAGE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALL_TEPLATES_ALLOWED_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_LIFE_CYCLE_STAGE_\
+CHANGING_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_MULTIPLE_ACTIVE_VERSIONS_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_SHARE_ACCES_RIGHTS_BY_DEFAULT_CODE SYSRES_CONST_KINDS_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_TYPE_REQUISITE_CODE SYSRES_CONST_KINDS_SIGNERS_REQUISITES_CODE SYSRES_CONST_KOD_INPUT_TYPE SYSRES_CONST_LAST_UPDATE_DATE_REQUISITE_CODE SYSRES_CONST_LIFE_CYCLE_START_STAGE_REQUISITE_CODE SYSRES_CONST_LILAC_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_LINK_OBJECT_KIND_COMPONENT S\
+YSRES_CONST_LINK_OBJECT_KIND_DOCUMENT SYSRES_CONST_LINK_OBJECT_KIND_EDOC SYSRES_CONST_LINK_OBJECT_KIND_FOLDER SYSRES_CONST_LINK_OBJECT_KIND_JOB SYSRES_CONST_LINK_OBJECT_KIND_REFERENCE SYSRES_CONST_LINK_OBJECT_KIND_TASK SYSRES_CONST_LINK_REF_TYPE_REQUISITE_CODE SYSRES_CONST_LIST_REFERENCE_MODE_NAME SYSRES_CONST_LOCALIZATION_DICTIONARY_MAIN_VIEW_CODE SYSRES_CONST_MAIN_VIEW_CODE SYSRES_CONST_MANUAL_ENUM_METHOD_FLAG SYSRES_CONST_MASTER_COMP_TYPE_REQUISITE_CODE SYSRES_CONST_MASTER_TABLE_REC_ID_REQUIS\
+ITE_CODE SYSRES_CONST_MAXIMIZED_MODE_NAME SYSRES_CONST_ME_VALUE SYSRES_CONST_MESSAGE_ATTENTION_CAPTION SYSRES_CONST_MESSAGE_CONFIRMATION_CAPTION SYSRES_CONST_MESSAGE_ERROR_CAPTION SYSRES_CONST_MESSAGE_INFORMATION_CAPTION SYSRES_CONST_MINIMIZED_MODE_NAME SYSRES_CONST_MINUTE_CHAR SYSRES_CONST_MODULE_REQUISITE_CODE SYSRES_CONST_MONITORING_BLOCK_DESCRIPTION SYSRES_CONST_MONTH_FORMAT_VALUE SYSRES_CONST_NAME_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_NAME_REQUISITE_CODE SYSRES_CONST_NAME_SINGULAR_REQUISI\
+TE_CODE SYSRES_CONST_NAMEAN_INPUT_TYPE SYSRES_CONST_NEGATIVE_PICK_VALUE SYSRES_CONST_NEGATIVE_VALUE SYSRES_CONST_NO SYSRES_CONST_NO_PICK_VALUE SYSRES_CONST_NO_SIGNATURE_REQUISITE_CODE SYSRES_CONST_NO_VALUE SYSRES_CONST_NONE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_NORMAL_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NORMAL_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_NORMAL_MODE_NAME SYSRES_CONST_NOT_ALLOWED_ACCESS_\
+TYPE_CODE SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_NOTE_REQUISITE_CODE SYSRES_CONST_NOTICE_BLOCK_DESCRIPTION SYSRES_CONST_NUM_REQUISITE SYSRES_CONST_NUM_STR_REQUISITE_CODE SYSRES_CONST_NUMERATION_AUTO_NOT_STRONG SYSRES_CONST_NUMERATION_AUTO_STRONG SYSRES_CONST_NUMERATION_FROM_DICTONARY SYSRES_CONST_NUMERATION_MANUAL SYSRES_CONST_NUMERIC_TYPE_CHAR SYSRES_CONST_NUMREQ_REQUISITE_CODE SYSRES_CONST_OBSOLETE_VERSION_STATE_PICK_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE SYSRES_CONST_O\
+PERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_OPTIONAL_FORM_COMP_REQCODE_PREFIX SYSRES_CONST_ORANGE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_ORIGINALREF_REQUISITE_CODE SYSRES_CONST_OURFIRM_REF_CODE SYSRES_CONST_OURFIRM_REQUISITE_CODE SYSRES_CONST_OURFIRM_VAR SYSRES_CONST_OUTGOING_WORK_RULE_TYPE_CODE SYSRES_CONST_PICK_NEGATIVE_RESULT SYSRES_CONST_PICK_POSITIVE_RESULT SYSRES_CONST_PICK_REQUISITE SYS\
+RES_CONST_PICK_REQUISITE_TYPE SYSRES_CONST_PICK_TYPE_CHAR SYSRES_CONST_PLAN_STATUS_REQUISITE_CODE SYSRES_CONST_PLATFORM_VERSION_COMMENT SYSRES_CONST_PLUGINS_SETTINGS_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_POSITIVE_PICK_VALUE SYSRES_CONST_POWER_TO_CREATE_ACTION_CODE SYSRES_CONST_POWER_TO_SIGN_ACTION_CODE SYSRES_CONST_PRIORITY_REQUISITE_CODE SYSRES_CONST_QUALIFIED_TASK_TYPE SYSRES_CONST_QUALIFIED_TASK_TYPE_CODE SYSRES_CONST_RECSTAT_REQUISITE_CODE SYSRES_CONST_RED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRE\
+S_CONST_REF_ID_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_REF_REQUISITE SYSRES_CONST_REF_REQUISITE_TYPE SYSRES_CONST_REF_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_REFERENCE_RECORD_HISTORY_CREATE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_DELETE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_MODIFY_ACTION_CODE SYSRES_CONST_REFERENCE_TYPE_CHAR SYSRES_CONST_REFERENCE_TYPE_REQUISITE_NAME SYSRES_CONST_REFERENCES_ADD_PARAMS_REQUISITE_CODE SYSRES_CONST_REFERENCES_DISPLAY_REQUISITE\
+_REQUISITE_CODE SYSRES_CONST_REMOTE_SERVER_STATUS_WORKING SYSRES_CONST_REMOTE_SERVER_TYPE_MAIN SYSRES_CONST_REMOTE_SERVER_TYPE_SECONDARY SYSRES_CONST_REMOTE_USER_FLAG_VALUE_CODE SYSRES_CONST_REPORT_APP_EDITOR_INTERNAL SYSRES_CONST_REPORT_BASE_REPORT_ID_REQUISITE_CODE SYSRES_CONST_REPORT_BASE_REPORT_REQUISITE_CODE SYSRES_CONST_REPORT_SCRIPT_REQUISITE_CODE SYSRES_CONST_REPORT_TEMPLATE_REQUISITE_CODE SYSRES_CONST_REPORT_VIEWER_CODE_REQUISITE_CODE SYSRES_CONST_REQ_ALLOW_COMPONENT_DEFAULT_VALUE SYSRE\
+S_CONST_REQ_ALLOW_RECORD_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_SERVER_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_MODE_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_EDIT_CODE SYSRES_CONST_REQ_MODE_HIDDEN_CODE SYSRES_CONST_REQ_MODE_NOT_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_VIEW_CODE SYSRES_CONST_REQ_NUMBER_REQUISITE_CODE SYSRES_CONST_REQ_SECTION_VALUE SYSRES_CONST_REQ_TYPE_VALUE SYSRES_CONST_REQUISITE_FORMAT_BY_UNIT SYSRES_CONST_REQUISITE_FORMAT_DATE_FULL SYSRES_CONST_REQUISITE_FORMAT_DATE_TIME SYSRES_CONST_RE\
+QUISITE_FORMAT_LEFT SYSRES_CONST_REQUISITE_FORMAT_RIGHT SYSRES_CONST_REQUISITE_FORMAT_WITHOUT_UNIT SYSRES_CONST_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_REQUISITE_SECTION_ACTIONS SYSRES_CONST_REQUISITE_SECTION_BUTTON SYSRES_CONST_REQUISITE_SECTION_BUTTONS SYSRES_CONST_REQUISITE_SECTION_CARD SYSRES_CONST_REQUISITE_SECTION_TABLE SYSRES_CONST_REQUISITE_SECTION_TABLE10 SYSRES_CONST_REQUISITE_SECTION_TABLE11 SYSRES_CONST_REQUISITE_SECTION_TABLE12 SYSRES_CONST_REQUISITE_SECTION_TABLE13 SYSRES_CONS\
+T_REQUISITE_SECTION_TABLE14 SYSRES_CONST_REQUISITE_SECTION_TABLE15 SYSRES_CONST_REQUISITE_SECTION_TABLE16 SYSRES_CONST_REQUISITE_SECTION_TABLE17 SYSRES_CONST_REQUISITE_SECTION_TABLE18 SYSRES_CONST_REQUISITE_SECTION_TABLE19 SYSRES_CONST_REQUISITE_SECTION_TABLE2 SYSRES_CONST_REQUISITE_SECTION_TABLE20 SYSRES_CONST_REQUISITE_SECTION_TABLE21 SYSRES_CONST_REQUISITE_SECTION_TABLE22 SYSRES_CONST_REQUISITE_SECTION_TABLE23 SYSRES_CONST_REQUISITE_SECTION_TABLE24 SYSRES_CONST_REQUISITE_SECTION_TABLE3 SYSRES\
+_CONST_REQUISITE_SECTION_TABLE4 SYSRES_CONST_REQUISITE_SECTION_TABLE5 SYSRES_CONST_REQUISITE_SECTION_TABLE6 SYSRES_CONST_REQUISITE_SECTION_TABLE7 SYSRES_CONST_REQUISITE_SECTION_TABLE8 SYSRES_CONST_REQUISITE_SECTION_TABLE9 SYSRES_CONST_REQUISITES_PSEUDOREFERENCE_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_RIGHT_ALIGNMENT_CODE SYSRES_CONST_ROLES_REFERENCE_CODE SYSRES_CONST_ROUTE_STEP_AFTER_RUS SYSRES_CONST_ROUTE_STEP_AND_CONDITION_RUS SYSRES_CONST_ROUTE_STEP_OR_CONDITION_RUS SYSRES_CONST_ROUTE_TY\
+PE_COMPLEX SYSRES_CONST_ROUTE_TYPE_PARALLEL SYSRES_CONST_ROUTE_TYPE_SERIAL SYSRES_CONST_SBDATASETDESC_NEGATIVE_VALUE SYSRES_CONST_SBDATASETDESC_POSITIVE_VALUE SYSRES_CONST_SBVIEWSDESC_POSITIVE_VALUE SYSRES_CONST_SCRIPT_BLOCK_DESCRIPTION SYSRES_CONST_SEARCH_BY_TEXT_REQUISITE_CODE SYSRES_CONST_SEARCHES_COMPONENT_CONTENT SYSRES_CONST_SEARCHES_CRITERIA_ACTION_NAME SYSRES_CONST_SEARCHES_EDOC_CONTENT SYSRES_CONST_SEARCHES_FOLDER_CONTENT SYSRES_CONST_SEARCHES_JOB_CONTENT SYSRES_CONST_SEARCHES_REFERENCE\
+_CODE SYSRES_CONST_SEARCHES_TASK_CONTENT SYSRES_CONST_SECOND_CHAR SYSRES_CONST_SECTION_REQUISITE_ACTIONS_VALUE SYSRES_CONST_SECTION_REQUISITE_CARD_VALUE SYSRES_CONST_SECTION_REQUISITE_CODE SYSRES_CONST_SECTION_REQUISITE_DETAIL_1_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_2_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_3_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_4_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_5_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_6_VALUE SYSRES_CONST_SELECT_REFERENCE_MODE_\
+NAME SYSRES_CONST_SELECT_TYPE_SELECTABLE SYSRES_CONST_SELECT_TYPE_SELECTABLE_ONLY_CHILD SYSRES_CONST_SELECT_TYPE_SELECTABLE_WITH_CHILD SYSRES_CONST_SELECT_TYPE_UNSLECTABLE SYSRES_CONST_SERVER_TYPE_MAIN SYSRES_CONST_SERVICE_USER_CATEGORY_FIELD_VALUE SYSRES_CONST_SETTINGS_USER_REQUISITE_CODE SYSRES_CONST_SIGNATURE_AND_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SIGNATURE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SINGULAR_TITLE_REQUISITE_CODE SYSRES_CONST_SQL_SERVER_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_C\
+ONST_SQL_SERVER_ENCODE_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_STANDART_ROUTES_GROUPS_REFERENCE_CODE SYSRES_CONST_STATE_REQ_NAME SYSRES_CONST_STATE_REQUISITE_ACTIVE_VALUE SYSRES_CONST_STATE_REQUISITE_CLOSED_VALUE SYSRES_CONST_STATE_REQUISITE_CODE SYSRES_CONST_STATIC_ROLE_TYPE_CODE SYSRES_CONST_STATUS_PLAN_DEFAULT_VALUE SYSRES_CONST_STATUS_VALUE_AUTOCLEANING SYSRES_CONST_STATUS_VALUE_BLUE\
+_SQUARE SYSRES_CONST_STATUS_VALUE_COMPLETE SYSRES_CONST_STATUS_VALUE_GREEN_SQUARE SYSRES_CONST_STATUS_VALUE_ORANGE_SQUARE SYSRES_CONST_STATUS_VALUE_PURPLE_SQUARE SYSRES_CONST_STATUS_VALUE_RED_SQUARE SYSRES_CONST_STATUS_VALUE_SUSPEND SYSRES_CONST_STATUS_VALUE_YELLOW_SQUARE SYSRES_CONST_STDROUTE_SHOW_TO_USERS_REQUISITE_CODE SYSRES_CONST_STORAGE_TYPE_FILE SYSRES_CONST_STORAGE_TYPE_SQL_SERVER SYSRES_CONST_STR_REQUISITE SYSRES_CONST_STRIKEOUT_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_STRING_FORMAT_LEF\
+T_ALIGN_CHAR SYSRES_CONST_STRING_FORMAT_RIGHT_ALIGN_CHAR SYSRES_CONST_STRING_REQUISITE_CODE SYSRES_CONST_STRING_REQUISITE_TYPE SYSRES_CONST_STRING_TYPE_CHAR SYSRES_CONST_SUBSTITUTES_PSEUDOREFERENCE_CODE SYSRES_CONST_SUBTASK_BLOCK_DESCRIPTION SYSRES_CONST_SYSTEM_SETTING_CURRENT_USER_PARAM_VALUE SYSRES_CONST_SYSTEM_SETTING_EMPTY_VALUE_PARAM_VALUE SYSRES_CONST_SYSTEM_VERSION_COMMENT SYSRES_CONST_TASK_ACCESS_TYPE_ALL SYSRES_CONST_TASK_ACCESS_TYPE_ALL_MEMBERS SYSRES_CONST_TASK_ACCESS_TYPE_MANUAL SYSR\
+ES_CONST_TASK_ENCODE_TYPE_CERTIFICATION SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION_AND_PASSWORD SYSRES_CONST_TASK_ENCODE_TYPE_NONE SYSRES_CONST_TASK_ENCODE_TYPE_PASSWORD SYSRES_CONST_TASK_ROUTE_ALL_CONDITION SYSRES_CONST_TASK_ROUTE_AND_CONDITION SYSRES_CONST_TASK_ROUTE_OR_CONDITION SYSRES_CONST_TASK_STATE_ABORTED SYSRES_CONST_TASK_STATE_COMPLETE SYSRES_CONST_TASK_STATE_CONTINUED SYSRES_CONST_TASK_STATE_CONTROL SYSRES_CONST_TASK_STATE_INIT SYSRES_CONST_TASK_STATE_WORKING SYSRES_CONST_TASK_TITLE \
+SYSRES_CONST_TASK_TYPES_GROUPS_REFERENCE_CODE SYSRES_CONST_TASK_TYPES_REFERENCE_CODE SYSRES_CONST_TEMPLATES_REFERENCE_CODE SYSRES_CONST_TEST_DATE_REQUISITE_NAME SYSRES_CONST_TEST_DEV_DATABASE_NAME SYSRES_CONST_TEST_DEV_SYSTEM_CODE SYSRES_CONST_TEST_EDMS_DATABASE_NAME SYSRES_CONST_TEST_EDMS_MAIN_CODE SYSRES_CONST_TEST_EDMS_MAIN_DB_NAME SYSRES_CONST_TEST_EDMS_SECOND_CODE SYSRES_CONST_TEST_EDMS_SECOND_DB_NAME SYSRES_CONST_TEST_EDMS_SYSTEM_CODE SYSRES_CONST_TEST_NUMERIC_REQUISITE_NAME SYSRES_CONST_T\
+EXT_REQUISITE SYSRES_CONST_TEXT_REQUISITE_CODE SYSRES_CONST_TEXT_REQUISITE_TYPE SYSRES_CONST_TEXT_TYPE_CHAR SYSRES_CONST_TYPE_CODE_REQUISITE_CODE SYSRES_CONST_TYPE_REQUISITE_CODE SYSRES_CONST_UNDEFINED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_UNITS_SECTION_ID_REQUISITE_CODE SYSRES_CONST_UNITS_SECTION_REQUISITE_CODE SYSRES_CONST_UNOPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_NAME SYSRES_CONST_USE_ACCESS_TYPE_CODE SYSRES_CONST_USE_\
+ACCESS_TYPE_NAME SYSRES_CONST_USER_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_USER_ADDITIONAL_INFORMATION_REQUISITE_CODE SYSRES_CONST_USER_AND_GROUP_ID_FROM_PSEUDOREFERENCE_REQUISITE_CODE SYSRES_CONST_USER_CATEGORY_NORMAL SYSRES_CONST_USER_CERTIFICATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_STATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_SUBJECT_NAME_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_THUMBPRINT_REQUISITE_CODE SYSRES_CONST_USER_COMMON_CATEGORY SYSRES_CONST_USER_COMMON_CATEGORY_CODE S\
+YSRES_CONST_USER_FULL_NAME_REQUISITE_CODE SYSRES_CONST_USER_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_USER_LOGIN_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_SYSTEM_REQUISITE_CODE SYSRES_CONST_USER_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_USER_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_USER_SERVICE_CATEGORY SYSRES_CONST_USER_SERVICE_CATEGORY_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_NAME SYSRES_CONST_USER_STATUS_DE\
+VELOPER_CODE SYSRES_CONST_USER_STATUS_DEVELOPER_NAME SYSRES_CONST_USER_STATUS_DISABLED_CODE SYSRES_CONST_USER_STATUS_DISABLED_NAME SYSRES_CONST_USER_STATUS_SYSTEM_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_USER_CODE SYSRES_CONST_USER_STATUS_USER_NAME SYSRES_CONST_USER_STATUS_USER_NAME_DEPRECATED SYSRES_CONST_USER_TYPE_FIELD_VALUE_USER SYSRES_CONST_USER_TYPE_REQUISITE_CODE SYSRES_CONST_USERS_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USERS_IS_MAIN_SERVER_REQUISITE_CODE SYSRES_CONST_USERS_REFERENCE_CODE \
+SYSRES_CONST_USERS_REGISTRATION_CERTIFICATES_ACTION_NAME SYSRES_CONST_USERS_REQUISITE_CODE SYSRES_CONST_USERS_SYSTEM_REQUISITE_CODE SYSRES_CONST_USERS_USER_ACCESS_RIGHTS_TYPR_REQUISITE_CODE SYSRES_CONST_USERS_USER_AUTHENTICATION_REQUISITE_CODE SYSRES_CONST_USERS_USER_COMPONENT_REQUISITE_CODE SYSRES_CONST_USERS_USER_GROUP_REQUISITE_CODE SYSRES_CONST_USERS_VIEW_CERTIFICATES_ACTION_NAME SYSRES_CONST_VIEW_DEFAULT_CODE SYSRES_CONST_VIEW_DEFAULT_NAME SYSRES_CONST_VIEWER_REQUISITE_CODE SYSRES_CONST_WAI\
+TING_BLOCK_DESCRIPTION SYSRES_CONST_WIZARD_FORM_LABEL_TEST_STRING  SYSRES_CONST_WIZARD_QUERY_PARAM_HEIGHT_ETALON_STRING SYSRES_CONST_WIZARD_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_WORK_RULES_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_WORK_TIME_CALENDAR_REFERENCE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORK_WORKFLOW_SOFT_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CON\
+ST_WORKFLOW_ROUTE_TYPR_HARD SYSRES_CONST_WORKFLOW_ROUTE_TYPR_SOFT SYSRES_CONST_XML_ENCODING SYSRES_CONST_XREC_STAT_REQUISITE_CODE SYSRES_CONST_XRECID_FIELD_NAME SYSRES_CONST_YES SYSRES_CONST_YES_NO_2_REQUISITE_CODE SYSRES_CONST_YES_NO_REQUISITE_CODE SYSRES_CONST_YES_NO_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_YES_PICK_VALUE SYSRES_CONST_YES_VALUE "+"CR FALSE nil NO_VALUE NULL TAB TRUE YES_VALUE "+"ADMINISTRATORS_GROUP_NAME CUSTOMIZERS_GROUP_NAME DEVELOPERS_GROUP_NAME SERVICE_USERS_GROUP_NAME "+"DE\
+CISION_BLOCK_FIRST_OPERAND_PROPERTY DECISION_BLOCK_NAME_PROPERTY DECISION_BLOCK_OPERATION_PROPERTY DECISION_BLOCK_RESULT_TYPE_PROPERTY DECISION_BLOCK_SECOND_OPERAND_PROPERTY "+"ANY_FILE_EXTENTION COMPRESSED_DOCUMENT_EXTENSION EXTENDED_DOCUMENT_EXTENSION SHORT_COMPRESSED_DOCUMENT_EXTENSION SHORT_EXTENDED_DOCUMENT_EXTENSION "+"JOB_BLOCK_ABORT_DEADLINE_PROPERTY JOB_BLOCK_AFTER_FINISH_EVENT JOB_BLOCK_AFTER_QUERY_PARAMETERS_EVENT JOB_BLOCK_ATTACHMENT_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPER\
+TY JOB_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY JOB_BLOCK_BEFORE_QUERY_PARAMETERS_EVENT JOB_BLOCK_BEFORE_START_EVENT JOB_BLOCK_CREATED_JOBS_PROPERTY JOB_BLOCK_DEADLINE_PROPERTY JOB_BLOCK_EXECUTION_RESULTS_PROPERTY JOB_BLOCK_IS_PARALLEL_PROPERTY JOB_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY JOB_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY JOB_BLOCK_JOB_TEXT_PROPERTY JOB_BLOCK_NAME_PROPERTY JOB_BLOCK_NEED_SIGN_ON_PERFORM_PROPERTY JOB_BLOCK_PERFORMER_PROPERTY JOB_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY JO\
+B_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY JOB_BLOCK_SUBJECT_PROPERTY "+"ENGLISH_LANGUAGE_CODE RUSSIAN_LANGUAGE_CODE "+"smHidden smMaximized smMinimized smNormal wmNo wmYes "+"COMPONENT_TOKEN_LINK_KIND DOCUMENT_LINK_KIND EDOCUMENT_LINK_KIND FOLDER_LINK_KIND JOB_LINK_KIND REFERENCE_LINK_KIND TASK_LINK_KIND "+"COMPONENT_TOKEN_LOCK_TYPE EDOCUMENT_VERSION_LOCK_TYPE "+"MONITOR_BLOCK_AFTER_FINISH_EVENT MONITOR_BLOCK_BEFORE_START_EVENT MONITOR_BLOCK_DEADLINE_PROPERTY MONITOR_BLOCK_INTERVAL_PROPERTY MONITO\
+R_BLOCK_INTERVAL_TYPE_PROPERTY MONITOR_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY MONITOR_BLOCK_NAME_PROPERTY MONITOR_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY MONITOR_BLOCK_SEARCH_SCRIPT_PROPERTY "+"NOTICE_BLOCK_AFTER_FINISH_EVENT NOTICE_BLOCK_ATTACHMENT_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY NOTICE_BLOCK_BEFORE_START_EVENT NOTICE_BLOCK_CREATED_NOTICES_PROPERTY NOTICE_BLOCK_DEADLINE_PROPERTY NOTICE_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY NOTICE_BL\
+OCK_NAME_PROPERTY NOTICE_BLOCK_NOTICE_TEXT_PROPERTY NOTICE_BLOCK_PERFORMER_PROPERTY NOTICE_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY NOTICE_BLOCK_SUBJECT_PROPERTY "+"dseAfterCancel dseAfterClose dseAfterDelete dseAfterDeleteOutOfTransaction dseAfterInsert dseAfterOpen dseAfterScroll dseAfterUpdate dseAfterUpdateOutOfTransaction dseBeforeCancel dseBeforeClose dseBeforeDelete dseBeforeDetailUpdate dseBeforeInsert dseBeforeOpen dseBeforeUpdate dseOnAnyRequisiteChange dseOnCloseRecord dseOnDeleteError d\
+seOnOpenRecord dseOnPrepareUpdate dseOnUpdateError dseOnUpdateRatifiedRecord dseOnValidDelete dseOnValidUpdate reOnChange reOnChangeValues SELECTION_BEGIN_ROUTE_EVENT SELECTION_END_ROUTE_EVENT "+"CURRENT_PERIOD_IS_REQUIRED PREVIOUS_CARD_TYPE_NAME SHOW_RECORD_PROPERTIES_FORM "+"ACCESS_RIGHTS_SETTING_DIALOG_CODE ADMINISTRATOR_USER_CODE ANALYTIC_REPORT_TYPE asrtHideLocal asrtHideRemote CALCULATED_ROLE_TYPE_CODE COMPONENTS_REFERENCE_DEVELOPER_VIEW_CODE DCTS_TEST_PROTOCOLS_FOLDER_PATH E_EDOC_VERSION_\
+ALREADY_APPROVINGLY_SIGNED E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED_BY_USER E_EDOC_VERSION_ALREDY_SIGNED E_EDOC_VERSION_ALREDY_SIGNED_BY_USER EDOC_TYPES_CODE_REQUISITE_FIELD_NAME EDOCUMENTS_ALIAS_NAME FILES_FOLDER_PATH FILTER_OPERANDS_DELIMITER FILTER_OPERATIONS_DELIMITER FORMCARD_NAME FORMLIST_NAME GET_EXTENDED_DOCUMENT_EXTENSION_CREATION_MODE GET_EXTENDED_DOCUMENT_EXTENSION_IMPORT_MODE INTEGRATED_REPORT_TYPE IS_BUILDER_APPLICATION_ROLE IS_BUILDER_APPLICATION_ROLE2 IS_BUILDER_USERS ISBSYSDEV L\
+OG_FOLDER_PATH mbCancel mbNo mbNoToAll mbOK mbYes mbYesToAll MEMORY_DATASET_DESRIPTIONS_FILENAME mrNo mrNoToAll mrYes mrYesToAll MULTIPLE_SELECT_DIALOG_CODE NONOPERATING_RECORD_FLAG_FEMININE NONOPERATING_RECORD_FLAG_MASCULINE OPERATING_RECORD_FLAG_FEMININE OPERATING_RECORD_FLAG_MASCULINE PROFILING_SETTINGS_COMMON_SETTINGS_CODE_VALUE PROGRAM_INITIATED_LOOKUP_ACTION ratDelete ratEdit ratInsert REPORT_TYPE REQUIRED_PICK_VALUES_VARIABLE rmCard rmList SBRTE_PROGID_DEV SBRTE_PROGID_RELEASE STATIC_ROLE\
+_TYPE_CODE SUPPRESS_EMPTY_TEMPLATE_CREATION SYSTEM_USER_CODE UPDATE_DIALOG_DATASET USED_IN_OBJECT_HINT_PARAM USER_INITIATED_LOOKUP_ACTION USER_NAME_FORMAT USER_SELECTION_RESTRICTIONS WORKFLOW_TEST_PROTOCOLS_FOLDER_PATH ELS_SUBTYPE_CONTROL_NAME ELS_FOLDER_KIND_CONTROL_NAME REPEAT_PROCESS_CURRENT_OBJECT_EXCEPTION_NAME "+"PRIVILEGE_COMPONENT_FULL_ACCESS PRIVILEGE_DEVELOPMENT_EXPORT PRIVILEGE_DEVELOPMENT_IMPORT PRIVILEGE_DOCUMENT_DELETE PRIVILEGE_ESD PRIVILEGE_FOLDER_DELETE PRIVILEGE_MANAGE_ACCESS_R\
+IGHTS PRIVILEGE_MANAGE_REPLICATION PRIVILEGE_MANAGE_SESSION_SERVER PRIVILEGE_OBJECT_FULL_ACCESS PRIVILEGE_OBJECT_VIEW PRIVILEGE_RESERVE_LICENSE PRIVILEGE_SYSTEM_CUSTOMIZE PRIVILEGE_SYSTEM_DEVELOP PRIVILEGE_SYSTEM_INSTALL PRIVILEGE_TASK_DELETE PRIVILEGE_USER_PLUGIN_SETTINGS_CUSTOMIZE PRIVILEGES_PSEUDOREFERENCE_CODE "+"ACCESS_TYPES_PSEUDOREFERENCE_CODE ALL_AVAILABLE_COMPONENTS_PSEUDOREFERENCE_CODE ALL_AVAILABLE_PRIVILEGES_PSEUDOREFERENCE_CODE ALL_REPLICATE_COMPONENTS_PSEUDOREFERENCE_CODE AVAILABLE\
+_DEVELOPERS_COMPONENTS_PSEUDOREFERENCE_CODE COMPONENTS_PSEUDOREFERENCE_CODE FILTRATER_SETTINGS_CONFLICTS_PSEUDOREFERENCE_CODE GROUPS_PSEUDOREFERENCE_CODE RECEIVE_PROTOCOL_PSEUDOREFERENCE_CODE REFERENCE_REQUISITE_PSEUDOREFERENCE_CODE REFERENCE_REQUISITES_PSEUDOREFERENCE_CODE REFTYPES_PSEUDOREFERENCE_CODE REPLICATION_SEANCES_DIARY_PSEUDOREFERENCE_CODE SEND_PROTOCOL_PSEUDOREFERENCE_CODE SUBSTITUTES_PSEUDOREFERENCE_CODE SYSTEM_SETTINGS_PSEUDOREFERENCE_CODE UNITS_PSEUDOREFERENCE_CODE USERS_PSEUDOREFE\
+RENCE_CODE VIEWERS_PSEUDOREFERENCE_CODE "+"CERTIFICATE_TYPE_ENCRYPT CERTIFICATE_TYPE_SIGN CERTIFICATE_TYPE_SIGN_AND_ENCRYPT "+"STORAGE_TYPE_FILE STORAGE_TYPE_NAS_CIFS STORAGE_TYPE_SAPERION STORAGE_TYPE_SQL_SERVER "+"COMPTYPE2_REQUISITE_DOCUMENTS_VALUE COMPTYPE2_REQUISITE_TASKS_VALUE COMPTYPE2_REQUISITE_FOLDERS_VALUE COMPTYPE2_REQUISITE_REFERENCES_VALUE "+"SYSREQ_CODE SYSREQ_COMPTYPE2 SYSREQ_CONST_AVAILABLE_FOR_WEB SYSREQ_CONST_COMMON_CODE SYSREQ_CONST_COMMON_VALUE SYSREQ_CONST_FIRM_CODE SYSREQ_C\
+ONST_FIRM_STATUS SYSREQ_CONST_FIRM_VALUE SYSREQ_CONST_SERVER_STATUS SYSREQ_CONTENTS SYSREQ_DATE_OPEN SYSREQ_DATE_CLOSE SYSREQ_DESCRIPTION SYSREQ_DESCRIPTION_LOCALIZE_ID SYSREQ_DOUBLE SYSREQ_EDOC_ACCESS_TYPE SYSREQ_EDOC_AUTHOR SYSREQ_EDOC_CREATED SYSREQ_EDOC_DELEGATE_RIGHTS_REQUISITE_CODE SYSREQ_EDOC_EDITOR SYSREQ_EDOC_ENCODE_TYPE SYSREQ_EDOC_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_EXPORT_DATE SYSREQ_EDOC_EXPORTER SYSREQ_EDOC_KIND SYSREQ_EDOC_LIFE_STAGE_NAME SYSRE\
+Q_EDOC_LOCKED_FOR_SERVER_CODE SYSREQ_EDOC_MODIFIED SYSREQ_EDOC_NAME SYSREQ_EDOC_NOTE SYSREQ_EDOC_QUALIFIED_ID SYSREQ_EDOC_SESSION_KEY SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_SIGNATURE_TYPE SYSREQ_EDOC_SIGNED SYSREQ_EDOC_STORAGE SYSREQ_EDOC_STORAGES_ARCHIVE_STORAGE SYSREQ_EDOC_STORAGES_CHECK_RIGHTS SYSREQ_EDOC_STORAGES_COMPUTER_NAME SYSREQ_EDOC_STORAGES_EDIT_IN_STORAGE SYSREQ_EDOC_STORAGES_EXECUTIVE_STORAGE SYSREQ_EDOC_STORAGES_\
+FUNCTION SYSREQ_EDOC_STORAGES_INITIALIZED SYSREQ_EDOC_STORAGES_LOCAL_PATH SYSREQ_EDOC_STORAGES_SAPERION_DATABASE_NAME SYSREQ_EDOC_STORAGES_SEARCH_BY_TEXT SYSREQ_EDOC_STORAGES_SERVER_NAME SYSREQ_EDOC_STORAGES_SHARED_SOURCE_NAME SYSREQ_EDOC_STORAGES_TYPE SYSREQ_EDOC_TEXT_MODIFIED SYSREQ_EDOC_TYPE_ACT_CODE SYSREQ_EDOC_TYPE_ACT_DESCRIPTION SYSREQ_EDOC_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_EDOC_TYPE_ACT_SECTION SYSREQ_EDOC_TYPE_\
+ADD_PARAMS SYSREQ_EDOC_TYPE_COMMENT SYSREQ_EDOC_TYPE_EVENT_TEXT SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_EDOC_TYPE_NAME_LOCALIZE_ID SYSREQ_EDOC_TYPE_NUMERATION_METHOD SYSREQ_EDOC_TYPE_PSEUDO_REQUISITE_CODE SYSREQ_EDOC_TYPE_REQ_CODE SYSREQ_EDOC_TYPE_REQ_DESCRIPTION SYSREQ_EDOC_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_REQ_IS_LEADING SYSREQ_EDOC_TYPE_REQ_IS_REQUIRED SYSREQ_EDOC_TYPE_REQ_NUMBER SYSREQ_EDOC_TYPE_REQ_ON_CHANGE SYSREQ_EDOC_TYPE_REQ\
+_ON_CHANGE_EXISTS SYSREQ_EDOC_TYPE_REQ_ON_SELECT SYSREQ_EDOC_TYPE_REQ_ON_SELECT_KIND SYSREQ_EDOC_TYPE_REQ_SECTION SYSREQ_EDOC_TYPE_VIEW_CARD SYSREQ_EDOC_TYPE_VIEW_CODE SYSREQ_EDOC_TYPE_VIEW_COMMENT SYSREQ_EDOC_TYPE_VIEW_IS_MAIN SYSREQ_EDOC_TYPE_VIEW_NAME SYSREQ_EDOC_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_EDOC_VERSION_AUTHOR SYSREQ_EDOC_VERSION_CRC SYSREQ_EDOC_VERSION_DATA SYSREQ_EDOC_VERSION_EDITOR SYSREQ_EDOC_VERSION_EXPORT_DATE SYSREQ_EDOC_VERSION_EXPORTER SYSREQ_EDOC_VERSION_HIDDEN SYSREQ_EDOC_VER\
+SION_LIFE_STAGE SYSREQ_EDOC_VERSION_MODIFIED SYSREQ_EDOC_VERSION_NOTE SYSREQ_EDOC_VERSION_SIGNATURE_TYPE SYSREQ_EDOC_VERSION_SIGNED SYSREQ_EDOC_VERSION_SIZE SYSREQ_EDOC_VERSION_SOURCE SYSREQ_EDOC_VERSION_TEXT_MODIFIED SYSREQ_EDOCKIND_DEFAULT_VERSION_STATE_CODE SYSREQ_FOLDER_KIND SYSREQ_FUNC_CATEGORY SYSREQ_FUNC_COMMENT SYSREQ_FUNC_GROUP SYSREQ_FUNC_GROUP_COMMENT SYSREQ_FUNC_GROUP_NUMBER SYSREQ_FUNC_HELP SYSREQ_FUNC_PARAM_DEF_VALUE SYSREQ_FUNC_PARAM_IDENT SYSREQ_FUNC_PARAM_NUMBER SYSREQ_FUNC_PARA\
+M_TYPE SYSREQ_FUNC_TEXT SYSREQ_GROUP_CATEGORY SYSREQ_ID SYSREQ_LAST_UPDATE SYSREQ_LEADER_REFERENCE SYSREQ_LINE_NUMBER SYSREQ_MAIN_RECORD_ID SYSREQ_NAME SYSREQ_NAME_LOCALIZE_ID SYSREQ_NOTE SYSREQ_ORIGINAL_RECORD SYSREQ_OUR_FIRM SYSREQ_PROFILING_SETTINGS_BATCH_LOGING SYSREQ_PROFILING_SETTINGS_BATCH_SIZE SYSREQ_PROFILING_SETTINGS_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_SQL_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_START_LOGGED SYSREQ_RECORD_STATUS SYSREQ_REF_REQ_FIELD_NAME SYSREQ_REF_REQ_FORM\
+AT SYSREQ_REF_REQ_GENERATED SYSREQ_REF_REQ_LENGTH SYSREQ_REF_REQ_PRECISION SYSREQ_REF_REQ_REFERENCE SYSREQ_REF_REQ_SECTION SYSREQ_REF_REQ_STORED SYSREQ_REF_REQ_TOKENS SYSREQ_REF_REQ_TYPE SYSREQ_REF_REQ_VIEW SYSREQ_REF_TYPE_ACT_CODE SYSREQ_REF_TYPE_ACT_DESCRIPTION SYSREQ_REF_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_ACT_ON_EXECUTE SYSREQ_REF_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_REF_TYPE_ACT_SECTION SYSREQ_REF_TYPE_ADD_PARAMS SYSREQ_REF_TYPE_COMMENT SYSREQ_REF_TYPE_COMMON_SETTINGS SYSREQ_REF_T\
+YPE_DISPLAY_REQUISITE_NAME SYSREQ_REF_TYPE_EVENT_TEXT SYSREQ_REF_TYPE_MAIN_LEADING_REF SYSREQ_REF_TYPE_NAME_IN_SINGULAR SYSREQ_REF_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_REF_TYPE_NAME_LOCALIZE_ID SYSREQ_REF_TYPE_NUMERATION_METHOD SYSREQ_REF_TYPE_REQ_CODE SYSREQ_REF_TYPE_REQ_DESCRIPTION SYSREQ_REF_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_REQ_IS_CONTROL SYSREQ_REF_TYPE_REQ_IS_FILTER SYSREQ_REF_TYPE_REQ_IS_LEADING SYSREQ_REF_TYPE_REQ_IS_REQUIRED SYSREQ_REF_TYPE_REQ_NUMBER SYSREQ_REF_TYPE_\
+REQ_ON_CHANGE SYSREQ_REF_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_REF_TYPE_REQ_ON_SELECT SYSREQ_REF_TYPE_REQ_ON_SELECT_KIND SYSREQ_REF_TYPE_REQ_SECTION SYSREQ_REF_TYPE_VIEW_CARD SYSREQ_REF_TYPE_VIEW_CODE SYSREQ_REF_TYPE_VIEW_COMMENT SYSREQ_REF_TYPE_VIEW_IS_MAIN SYSREQ_REF_TYPE_VIEW_NAME SYSREQ_REF_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_REFERENCE_TYPE_ID SYSREQ_STATE SYSREQ_STATЕ SYSREQ_SYSTEM_SETTINGS_VALUE SYSREQ_TYPE SYSREQ_UNIT SYSREQ_UNIT_ID SYSREQ_USER_GROUPS_GROUP_FULL_NAME SYSREQ_USER_GROUPS_GROUP_NAM\
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+gion|Owner)?Say|Shout|Listen(Control|Remove)?|Sensor(Repeat|Remove)?|Detected(Name|Key|Owner|Type|Pos|Vel|Grab|Rot|Group|LinkNumber)|Die|Ground|Wind|([GS]et)(AnimationOverride|MemoryLimit|PrimMediaParams|ParcelMusicURL|Object(Desc|Name)|PhysicsMaterial|Status|Scale|Color|Alpha|Texture|Pos|Rot|Force|Torque)|ResetAnimationOverride|(Scale|Offset|Rotate)Texture|(Rot)?Target(Remove)?|(Stop)?MoveToTarget|Apply(Rotational)?Impulse|Set(KeyframedMotion|ContentType|RegionPos|(Angular)?Velocity|Buoyancy|Ho\
+verHeight|ForceAndTorque|TimerEvent|ScriptState|Damage|TextureAnim|Sound(Queueing|Radius)|Vehicle(Type|(Float|Vector|Rotation)Param)|(Touch|Sit)?Text|Camera(Eye|At)Offset|PrimitiveParams|ClickAction|Link(Alpha|Color|PrimitiveParams(Fast)?|Texture(Anim)?|Camera|Media)|RemoteScriptAccessPin|PayPrice|LocalRot)|ScaleByFactor|Get((Max|Min)ScaleFactor|ClosestNavPoint|StaticPath|SimStats|Env|PrimitiveParams|Link(PrimitiveParams|Number(OfSides)?|Key|Name|Media)|HTTPHeader|FreeURLs|Object(Details|PermMas\
+k|PrimCount)|Parcel(MaxPrims|Details|Prim(Count|Owners))|Attached(List)?|(SPMax|Free|Used)Memory|Region(Name|TimeDilation|FPS|Corner|AgentCount)|Root(Position|Rotation)|UnixTime|(Parcel|Region)Flags|(Wall|GMT)clock|SimulatorHostname|BoundingBox|GeometricCenter|Creator|NumberOf(Prims|NotecardLines|Sides)|Animation(List)?|(Camera|Local)(Pos|Rot)|Vel|Accel|Omega|Time(stamp|OfDay)|(Object|CenterOf)?Mass|MassMKS|Energy|Owner|(Owner)?Key|SunDirection|Texture(Offset|Scale|Rot)|Inventory(Number|Name|Key\
+|Type|Creator|PermMask)|Permissions(Key)?|StartParameter|List(Length|EntryType)|Date|Agent(Size|Info|Language|List)|LandOwnerAt|NotecardLine|Script(Name|State))|(Get|Reset|GetAndReset)Time|PlaySound(Slave)?|LoopSound(Master|Slave)?|(Trigger|Stop|Preload)Sound|((Get|Delete)Sub|Insert)String|To(Upper|Lower)|Give(InventoryList|Money)|RezObject|(Stop)?LookAt|Sleep|CollisionFilter|(Take|Release)Controls|DetachFromAvatar|AttachToAvatar(Temp)?|InstantMessage|(GetNext)?Email|StopHover|MinEventDelay|RotL\
+ookAt|String(Length|Trim)|(Start|Stop)Animation|TargetOmega|Request(Experience)?Permissions|(Create|Break)Link|BreakAllLinks|(Give|Remove)Inventory|Water|PassTouches|Request(Agent|Inventory)Data|TeleportAgent(Home|GlobalCoords)?|ModifyLand|CollisionSound|ResetScript|MessageLinked|PushObject|PassCollisions|AxisAngle2Rot|Rot2(Axis|Angle)|A(cos|sin)|AngleBetween|AllowInventoryDrop|SubStringIndex|List2(CSV|Integer|Json|Float|String|Key|Vector|Rot|List(Strided)?)|DeleteSubList|List(Statistics|Sort|Ra\
+ndomize|(Insert|Find|Replace)List)|EdgeOfWorld|AdjustSoundVolume|Key2Name|TriggerSoundLimited|EjectFromLand|(CSV|ParseString)2List|OverMyLand|SameGroup|UnSit|Ground(Slope|Normal|Contour)|GroundRepel|(Set|Remove)VehicleFlags|SitOnLink|(AvatarOn)?(Link)?SitTarget|Script(Danger|Profiler)|Dialog|VolumeDetect|ResetOtherScript|RemoteLoadScriptPin|(Open|Close)RemoteDataChannel|SendRemoteData|RemoteDataReply|(Integer|String)ToBase64|XorBase64|Log(10)?|Base64To(String|Integer)|ParseStringKeepNulls|RezAtR\
+oot|RequestSimulatorData|ForceMouselook|(Load|Release|(E|Une)scape)URL|ParcelMedia(CommandList|Query)|ModPow|MapDestination|(RemoveFrom|AddTo|Reset)Land(Pass|Ban)List|(Set|Clear)CameraParams|HTTP(Request|Response)|TextBox|DetectedTouch(UV|Face|Pos|(N|Bin)ormal|ST)|(MD5|SHA1|DumpList2)String|Request(Secure)?URL|Clear(Prim|Link)Media|(Link)?ParticleSystem|(Get|Request)(Username|DisplayName)|RegionSayTo|CastRay|GenerateKey|TransferLindenDollars|ManageEstateAccess|(Create|Delete)Character|ExecCharac\
+terCmd|Evade|FleeFrom|NavigateTo|PatrolPoints|Pursue|UpdateCharacter|WanderWithin))\\b"};return{name:"LSL (Linden Scripting Language)",illegal:":",contains:[LSL_STRINGS,{className:"comment",variants:[hljs.COMMENT("//","$"),hljs.COMMENT("/\\*","\\*/")],relevance:0},LSL_NUMBERS,{className:"section",variants:[{begin:"\\b(state|default)\\b"},{begin:"\\b(state_(entry|exit)|touch(_(start|end))?|(land_)?collision(_(start|end))?|timer|listen|(no_)?sensor|control|(not_)?at_(rot_)?target|money|email|experi\
+ence_permissions(_denied)?|run_time_permissions|changed|attach|dataserver|moving_(start|end)|link_message|(on|object)_rez|remote_data|http_re(sponse|quest)|path_update|transaction_result)\\b"}]},LSL_FUNCTIONS,LSL_CONSTANTS,{className:"type",begin:"\\b(integer|float|string|key|vector|quaternion|rotation|list)\\b"}]}}const SYSTEM_SYMBOLS=["AASTriangle","AbelianGroup","Abort","AbortKernels","AbortProtect","AbortScheduledTask","Above","Abs","AbsArg","AbsArgPlot","Absolute","AbsoluteCorrelation","Abs\
+oluteCorrelationFunction","AbsoluteCurrentValue","AbsoluteDashing","AbsoluteFileName","AbsoluteOptions","AbsolutePointSize","AbsoluteThickness","AbsoluteTime","AbsoluteTiming","AcceptanceThreshold","AccountingForm","Accumulate","Accuracy","AccuracyGoal","AcousticAbsorbingValue","AcousticImpedanceValue","AcousticNormalVelocityValue","AcousticPDEComponent","AcousticPressureCondition","AcousticRadiationValue","AcousticSoundHardValue","AcousticSoundSoftCondition","ActionDelay","ActionMenu","ActionMe\
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+"AmbientLight","AmbiguityFunction","AmbiguityList","Analytic","AnatomyData","AnatomyForm","AnatomyPlot3D","AnatomySkinStyle","AnatomyStyling","AnchoredSearch","And","AndersonDarlingTest","AngerJ","AngleBisector","AngleBracket","AnglePath","AnglePath3D","AngleVector","AngularGauge","Animate","AnimatedImage","AnimationCycleOffset","AnimationCycleRepetitions","AnimationDirection","AnimationDisplayTime","AnimationRate","AnimationRepetitions","AnimationRunning","AnimationRunTime","AnimationTimeIndex",
+"AnimationVideo","Animator","AnimatorBox","AnimatorBoxOptions","AnimatorElements","Annotate","Annotation","AnnotationDelete","AnnotationKeys","AnnotationRules","AnnotationValue","Annuity","AnnuityDue","Annulus","AnomalyDetection","AnomalyDetector","AnomalyDetectorFunction","Anonymous","Antialiasing","Antihermitian","AntihermitianMatrixQ","Antisymmetric","AntisymmetricMatrixQ","Antonyms","AnyOrder","AnySubset","AnyTrue","Apart","ApartSquareFree","APIFunction","Appearance","AppearanceElements","Ap\
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+ayDepth","ArrayFilter","ArrayFlatten","ArrayMesh","ArrayPad","ArrayPlot","ArrayPlot3D","ArrayQ","ArrayReduce","ArrayResample","ArrayReshape","ArrayRules","Arrays","Arrow","Arrow3DBox","ArrowBox","Arrowheads","ASATriangle","Ask","AskAppend","AskConfirm","AskDisplay","AskedQ","AskedValue","AskFunction","AskState","AskTemplateDisplay","AspectRatio","AspectRatioFixed","Assert","AssessmentFunction","AssessmentResultObject","AssociateTo","Association","AssociationFormat","AssociationMap","AssociationQ",
+"AssociationThread","AssumeDeterministic","Assuming","Assumptions","AstroAngularSeparation","AstroBackground","AstroCenter","AstroDistance","AstroGraphics","AstroGridLines","AstroGridLinesStyle","AstronomicalData","AstroPosition","AstroProjection","AstroRange","AstroRangePadding","AstroReferenceFrame","AstroStyling","AstroZoomLevel","Asymptotic","AsymptoticDSolveValue","AsymptoticEqual","AsymptoticEquivalent","AsymptoticExpectation","AsymptoticGreater","AsymptoticGreaterEqual","AsymptoticIntegra\
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+ChannelAssignment","AudioChannelCombine","AudioChannelMix","AudioChannels","AudioChannelSeparate","AudioData","AudioDelay","AudioDelete","AudioDevice","AudioDistance","AudioEncoding","AudioFade","AudioFrequencyShift","AudioGenerator","AudioIdentify","AudioInputDevice","AudioInsert","AudioInstanceQ","AudioIntervals","AudioJoin","AudioLabel","AudioLength","AudioLocalMeasurements","AudioLooping","AudioLoudness","AudioMeasurements","AudioNormalize","AudioOutputDevice","AudioOverlay","AudioPad","Audi\
+oPan","AudioPartition","AudioPause","AudioPitchShift","AudioPlay","AudioPlot","AudioQ","AudioRecord","AudioReplace","AudioResample","AudioReverb","AudioReverse","AudioSampleRate","AudioSpectralMap","AudioSpectralTransformation","AudioSplit","AudioStop","AudioStream","AudioStreams","AudioTimeStretch","AudioTrackApply","AudioTrackSelection","AudioTrim","AudioType","AugmentedPolyhedron","AugmentedSymmetricPolynomial","Authenticate","Authentication","AuthenticationDialog","AutoAction","Autocomplete",
+"AutocompletionFunction","AutoCopy","AutocorrelationTest","AutoDelete","AutoEvaluateEvents","AutoGeneratedPackage","AutoIndent","AutoIndentSpacings","AutoItalicWords","AutoloadPath","AutoMatch","Automatic","AutomaticImageSize","AutoMultiplicationSymbol","AutoNumberFormatting","AutoOpenNotebooks","AutoOpenPalettes","AutoOperatorRenderings","AutoQuoteCharacters","AutoRefreshed","AutoRemove","AutorunSequencing","AutoScaling","AutoScroll","AutoSpacing","AutoStyleOptions","AutoStyleWords","AutoSubmit\
+ting","Axes","AxesEdge","AxesLabel","AxesOrigin","AxesStyle","AxiomaticTheory","Axis","Axis3DBox","Axis3DBoxOptions","AxisBox","AxisBoxOptions","AxisLabel","AxisObject","AxisStyle","BabyMonsterGroupB","Back","BackFaceColor","BackFaceGlowColor","BackFaceOpacity","BackFaceSpecularColor","BackFaceSpecularExponent","BackFaceSurfaceAppearance","BackFaceTexture","Background","BackgroundAppearance","BackgroundTasksSettings","Backslash","Backsubstitution","Backward","Ball","Band","BandpassFilter","Bands\
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+nsactionSign","BlockchainTransactionSubmit","BlockDiagonalMatrix","BlockLowerTriangularMatrix","BlockMap","BlockRandom","BlockUpperTriangularMatrix","BlomqvistBeta","BlomqvistBetaTest","Blue","Blur","Blurring","BodePlot","BohmanWindow","Bold","Bond","BondCount","BondLabels","BondLabelStyle","BondList","BondQ","Bookmarks","Boole","BooleanConsecutiveFunction","BooleanConvert","BooleanCountingFunction","BooleanFunction","BooleanGraph","BooleanMaxterms","BooleanMinimize","BooleanMinterms","BooleanQ",
+"BooleanRegion","Booleans","BooleanStrings","BooleanTable","BooleanVariables","BorderDimensions","BorelTannerDistribution","Bottom","BottomHatTransform","BoundaryDiscretizeGraphics","BoundaryDiscretizeRegion","BoundaryMesh","BoundaryMeshRegion","BoundaryMeshRegionQ","BoundaryStyle","BoundedRegionQ","BoundingRegion","Bounds","Box","BoxBaselineShift","BoxData","BoxDimensions","Boxed","Boxes","BoxForm","BoxFormFormatTypes","BoxFrame","BoxID","BoxMargins","BoxMatrix","BoxObject","BoxRatios","BoxRota\
+tion","BoxRotationPoint","BoxStyle","BoxWhiskerChart","Bra","BracketingBar","BraKet","BrayCurtisDistance","BreadthFirstScan","Break","BridgeData","BrightnessEqualize","BroadcastStationData","Brown","BrownForsytheTest","BrownianBridgeProcess","BrowserCategory","BSplineBasis","BSplineCurve","BSplineCurve3DBox","BSplineCurve3DBoxOptions","BSplineCurveBox","BSplineCurveBoxOptions","BSplineFunction","BSplineSurface","BSplineSurface3DBox","BSplineSurface3DBoxOptions","BubbleChart","BubbleChart3D","Bub\
+bleScale","BubbleSizes","BuckyballGraph","BuildCompiledComponent","BuildingData","BulletGauge","BusinessDayQ","ButterflyGraph","ButterworthFilterModel","Button","ButtonBar","ButtonBox","ButtonBoxOptions","ButtonCell","ButtonContents","ButtonData","ButtonEvaluator","ButtonExpandable","ButtonFrame","ButtonFunction","ButtonMargins","ButtonMinHeight","ButtonNote","ButtonNotebook","ButtonSource","ButtonStyle","ButtonStyleMenuListing","Byte","ByteArray","ByteArrayFormat","ByteArrayFormatQ","ByteArrayQ",
+"ByteArrayToString","ByteCount","ByteOrdering","C","CachedValue","CacheGraphics","CachePersistence","CalendarConvert","CalendarData","CalendarType","Callout","CalloutMarker","CalloutStyle","CallPacket","CanberraDistance","Cancel","CancelButton","CandlestickChart","CanonicalGraph","CanonicalizePolygon","CanonicalizePolyhedron","CanonicalizeRegion","CanonicalName","CanonicalWarpingCorrespondence","CanonicalWarpingDistance","CantorMesh","CantorStaircase","Canvas","Cap","CapForm","CapitalDifferentia\
+lD","Capitalize","CapsuleShape","CaptureRunning","CaputoD","CardinalBSplineBasis","CarlemanLinearize","CarlsonRC","CarlsonRD","CarlsonRE","CarlsonRF","CarlsonRG","CarlsonRJ","CarlsonRK","CarlsonRM","CarmichaelLambda","CaseOrdering","Cases","CaseSensitive","Cashflow","Casoratian","Cast","Catalan","CatalanNumber","Catch","CategoricalDistribution","Catenate","CatenateLayer","CauchyDistribution","CauchyMatrix","CauchyPointProcess","CauchyWindow","CayleyGraph","CDF","CDFDeploy","CDFInformation","CDFW\
+avelet","Ceiling","CelestialSystem","Cell","CellAutoOverwrite","CellBaseline","CellBoundingBox","CellBracketOptions","CellChangeTimes","CellContents","CellContext","CellDingbat","CellDingbatMargin","CellDynamicExpression","CellEditDuplicate","CellElementsBoundingBox","CellElementSpacings","CellEpilog","CellEvaluationDuplicate","CellEvaluationFunction","CellEvaluationLanguage","CellEventActions","CellFrame","CellFrameColor","CellFrameLabelMargins","CellFrameLabels","CellFrameMargins","CellFrameSt\
+yle","CellGroup","CellGroupData","CellGrouping","CellGroupingRules","CellHorizontalScrolling","CellID","CellInsertionPointCell","CellLabel","CellLabelAutoDelete","CellLabelMargins","CellLabelPositioning","CellLabelStyle","CellLabelTemplate","CellMargins","CellObject","CellOpen","CellPrint","CellProlog","Cells","CellSize","CellStyle","CellTags","CellTrayPosition","CellTrayWidgets","CellularAutomaton","CensoredDistribution","Censoring","Center","CenterArray","CenterDot","CenteredInterval","Central\
+Feature","CentralMoment","CentralMomentGeneratingFunction","Cepstrogram","CepstrogramArray","CepstrumArray","CForm","ChampernowneNumber","ChangeOptions","ChannelBase","ChannelBrokerAction","ChannelDatabin","ChannelHistoryLength","ChannelListen","ChannelListener","ChannelListeners","ChannelListenerWait","ChannelObject","ChannelPreSendFunction","ChannelReceiverFunction","ChannelSend","ChannelSubscribers","ChanVeseBinarize","Character","CharacterCounts","CharacterEncoding","CharacterEncodingsPath",
+"CharacteristicFunction","CharacteristicPolynomial","CharacterName","CharacterNormalize","CharacterRange","Characters","ChartBaseStyle","ChartElementData","ChartElementDataFunction","ChartElementFunction","ChartElements","ChartLabels","ChartLayout","ChartLegends","ChartStyle","Chebyshev1FilterModel","Chebyshev2FilterModel","ChebyshevDistance","ChebyshevT","ChebyshevU","Check","CheckAbort","CheckAll","CheckArguments","Checkbox","CheckboxBar","CheckboxBox","CheckboxBoxOptions","ChemicalConvert","C\
+hemicalData","ChemicalFormula","ChemicalInstance","ChemicalReaction","ChessboardDistance","ChiDistribution","ChineseRemainder","ChiSquareDistribution","ChoiceButtons","ChoiceDialog","CholeskyDecomposition","Chop","ChromaticityPlot","ChromaticityPlot3D","ChromaticPolynomial","Circle","CircleBox","CircleDot","CircleMinus","CirclePlus","CirclePoints","CircleThrough","CircleTimes","CirculantGraph","CircularArcThrough","CircularOrthogonalMatrixDistribution","CircularQuaternionMatrixDistribution","Cir\
+cularRealMatrixDistribution","CircularSymplecticMatrixDistribution","CircularUnitaryMatrixDistribution","Circumsphere","CityData","ClassifierFunction","ClassifierInformation","ClassifierMeasurements","ClassifierMeasurementsObject","Classify","ClassPriors","Clear","ClearAll","ClearAttributes","ClearCookies","ClearPermissions","ClearSystemCache","ClebschGordan","ClickPane","ClickToCopy","ClickToCopyEnabled","Clip","ClipboardNotebook","ClipFill","ClippingStyle","ClipPlanes","ClipPlanesStyle","ClipR\
+ange","Clock","ClockGauge","ClockwiseContourIntegral","Close","Closed","CloseKernels","ClosenessCentrality","Closing","ClosingAutoSave","ClosingEvent","CloudAccountData","CloudBase","CloudConnect","CloudConnections","CloudDeploy","CloudDirectory","CloudDisconnect","CloudEvaluate","CloudExport","CloudExpression","CloudExpressions","CloudFunction","CloudGet","CloudImport","CloudLoggingData","CloudObject","CloudObjectInformation","CloudObjectInformationData","CloudObjectNameFormat","CloudObjects","\
+CloudObjectURLType","CloudPublish","CloudPut","CloudRenderingMethod","CloudSave","CloudShare","CloudSubmit","CloudSymbol","CloudUnshare","CloudUserID","ClusterClassify","ClusterDissimilarityFunction","ClusteringComponents","ClusteringMeasurements","ClusteringTree","CMYKColor","Coarse","CodeAssistOptions","Coefficient","CoefficientArrays","CoefficientDomain","CoefficientList","CoefficientRules","CoifletWavelet","Collect","CollinearPoints","Colon","ColonForm","ColorBalance","ColorCombine","ColorCo\
+nvert","ColorCoverage","ColorData","ColorDataFunction","ColorDetect","ColorDistance","ColorFunction","ColorFunctionBinning","ColorFunctionScaling","Colorize","ColorNegate","ColorOutput","ColorProfileData","ColorQ","ColorQuantize","ColorReplace","ColorRules","ColorSelectorSettings","ColorSeparate","ColorSetter","ColorSetterBox","ColorSetterBoxOptions","ColorSlider","ColorsNear","ColorSpace","ColorToneMapping","Column","ColumnAlignments","ColumnBackgrounds","ColumnForm","ColumnLines","ColumnsEqual",
+"ColumnSpacings","ColumnWidths","CombinatorB","CombinatorC","CombinatorI","CombinatorK","CombinatorS","CombinatorW","CombinatorY","CombinedEntityClass","CombinerFunction","CometData","CommonDefaultFormatTypes","Commonest","CommonestFilter","CommonName","CommonUnits","CommunityBoundaryStyle","CommunityGraphPlot","CommunityLabels","CommunityRegionStyle","CompanyData","CompatibleUnitQ","CompilationOptions","CompilationTarget","Compile","Compiled","CompiledCodeFunction","CompiledComponent","Compiled\
+ExpressionDeclaration","CompiledFunction","CompiledLayer","CompilerCallback","CompilerEnvironment","CompilerEnvironmentAppend","CompilerEnvironmentAppendTo","CompilerEnvironmentObject","CompilerOptions","Complement","ComplementedEntityClass","CompleteGraph","CompleteGraphQ","CompleteIntegral","CompleteKaryTree","CompletionsListPacket","Complex","ComplexArrayPlot","ComplexContourPlot","Complexes","ComplexExpand","ComplexInfinity","ComplexityFunction","ComplexListPlot","ComplexPlot","ComplexPlot3D",
+"ComplexRegionPlot","ComplexStreamPlot","ComplexVectorPlot","ComponentMeasurements","ComponentwiseContextMenu","Compose","ComposeList","ComposeSeries","CompositeQ","Composition","CompoundElement","CompoundExpression","CompoundPoissonDistribution","CompoundPoissonProcess","CompoundRenewalProcess","Compress","CompressedData","CompressionLevel","ComputeUncertainty","ConcaveHullMesh","Condition","ConditionalExpression","Conditioned","Cone","ConeBox","ConfidenceLevel","ConfidenceRange","ConfidenceTra\
+nsform","ConfigurationPath","Confirm","ConfirmAssert","ConfirmBy","ConfirmMatch","ConfirmQuiet","ConformationMethod","ConformAudio","ConformImages","Congruent","ConicGradientFilling","ConicHullRegion","ConicHullRegion3DBox","ConicHullRegion3DBoxOptions","ConicHullRegionBox","ConicHullRegionBoxOptions","ConicOptimization","Conjugate","ConjugateTranspose","Conjunction","Connect","ConnectedComponents","ConnectedGraphComponents","ConnectedGraphQ","ConnectedMeshComponents","ConnectedMoleculeComponent\
+s","ConnectedMoleculeQ","ConnectionSettings","ConnectLibraryCallbackFunction","ConnectSystemModelComponents","ConnectSystemModelController","ConnesWindow","ConoverTest","ConservativeConvectionPDETerm","ConsoleMessage","Constant","ConstantArray","ConstantArrayLayer","ConstantImage","ConstantPlusLayer","ConstantRegionQ","Constants","ConstantTimesLayer","ConstellationData","ConstrainedMax","ConstrainedMin","Construct","Containing","ContainsAll","ContainsAny","ContainsExactly","ContainsNone","Contai\
+nsOnly","ContentDetectorFunction","ContentFieldOptions","ContentLocationFunction","ContentObject","ContentPadding","ContentsBoundingBox","ContentSelectable","ContentSize","Context","ContextMenu","Contexts","ContextToFileName","Continuation","Continue","ContinuedFraction","ContinuedFractionK","ContinuousAction","ContinuousMarkovProcess","ContinuousTask","ContinuousTimeModelQ","ContinuousWaveletData","ContinuousWaveletTransform","ContourDetect","ContourGraphics","ContourIntegral","ContourLabels","\
+ContourLines","ContourPlot","ContourPlot3D","Contours","ContourShading","ContourSmoothing","ContourStyle","ContraharmonicMean","ContrastiveLossLayer","Control","ControlActive","ControlAlignment","ControlGroupContentsBox","ControllabilityGramian","ControllabilityMatrix","ControllableDecomposition","ControllableModelQ","ControllerDuration","ControllerInformation","ControllerInformationData","ControllerLinking","ControllerManipulate","ControllerMethod","ControllerPath","ControllerState","ControlPla\
+cement","ControlsRendering","ControlType","ConvectionPDETerm","Convergents","ConversionOptions","ConversionRules","ConvertToPostScript","ConvertToPostScriptPacket","ConvexHullMesh","ConvexHullRegion","ConvexOptimization","ConvexPolygonQ","ConvexPolyhedronQ","ConvexRegionQ","ConvolutionLayer","Convolve","ConwayGroupCo1","ConwayGroupCo2","ConwayGroupCo3","CookieFunction","Cookies","CoordinateBoundingBox","CoordinateBoundingBoxArray","CoordinateBounds","CoordinateBoundsArray","CoordinateChartData",
+"CoordinatesToolOptions","CoordinateTransform","CoordinateTransformData","CoplanarPoints","CoprimeQ","Coproduct","CopulaDistribution","Copyable","CopyDatabin","CopyDirectory","CopyFile","CopyFunction","CopyTag","CopyToClipboard","CoreNilpotentDecomposition","CornerFilter","CornerNeighbors","Correlation","CorrelationDistance","CorrelationFunction","CorrelationTest","Cos","Cosh","CoshIntegral","CosineDistance","CosineWindow","CosIntegral","Cot","Coth","CoulombF","CoulombG","CoulombH1","CoulombH2",
+"Count","CountDistinct","CountDistinctBy","CounterAssignments","CounterBox","CounterBoxOptions","CounterClockwiseContourIntegral","CounterEvaluator","CounterFunction","CounterIncrements","CounterStyle","CounterStyleMenuListing","CountRoots","CountryData","Counts","CountsBy","Covariance","CovarianceEstimatorFunction","CovarianceFunction","CoxianDistribution","CoxIngersollRossProcess","CoxModel","CoxModelFit","CramerVonMisesTest","CreateArchive","CreateCellID","CreateChannel","CreateCloudExpressio\
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+rthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric parametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hyperg\
+eometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp\
+ poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply\
+ polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_part poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2el\
+e pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc quad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal qu\
+antile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poisson quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric ra\
+ndom_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars\
+ ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions r\
+emove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remvalue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row\
+ rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors scanmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_si\
+mplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showratvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geom\
+etric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode spar\
+se6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_hankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std\
+_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binomial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp\
+ sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan tanh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tli\
+mit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trace tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlyi\
+ng_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace uppercasep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poi\
+sson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity vertex_degree vertex_distance vertex_eccentricity vertex_in_degree vertex_out_degree vertices vertices_to_cycle vertices_to_path %w weyl wheel_graph wiener_index wigner_3j wigner_6j wigner_9j with_stdout write_binary_data writebyte write_data writefile wronskian xreduce xthru %y Zeilberger zeroequiv zerofor zeromatrix zeromatrixp zeta zgeev zheev zlange zn_add_table zn_c\
+armichael_lambda zn_characteristic_factors zn_determinant zn_factor_generators zn_invert_by_lu zn_log zn_mult_table absboxchar activecontexts adapt_depth additive adim aform algebraic algepsilon algexact aliases allbut all_dotsimp_denoms allocation allsym alphabetic animation antisymmetric arrays askexp assume_pos assume_pos_pred assumescalar asymbol atomgrad atrig1 axes axis_3d axis_bottom axis_left axis_right axis_top azimuth background background_color backsubst berlefact bernstein_explicit b\
+esselexpand beta_args_sum_to_integer beta_expand bftorat bftrunc bindtest border boundaries_array box boxchar breakup %c capping cauchysum cbrange cbtics center cflength cframe_flag cnonmet_flag color color_bar color_bar_tics colorbox columns commutative complex cone context contexts contour contour_levels cosnpiflag ctaypov ctaypt ctayswitch ctayvar ct_coords ctorsion_flag ctrgsimp cube current_let_rule_package cylinder data_file_name debugmode decreasing default_let_rule_package delay dependen\
+cies derivabbrev derivsubst detout diagmetric diff dim dimensions dispflag display2d|10 display_format_internal distribute_over doallmxops domain domxexpt domxmxops domxnctimes dontfactor doscmxops doscmxplus dot0nscsimp dot0simp dot1simp dotassoc dotconstrules dotdistrib dotexptsimp dotident dotscrules draw_graph_program draw_realpart edge_color edge_coloring edge_partition edge_type edge_width %edispflag elevation %emode endphi endtheta engineering_format_floats enhanced3d %enumer epsilon_lp e\
+rfflag erf_representation errormsg error_size error_syms error_type %e_to_numlog eval even evenfun evflag evfun ev_point expandwrt_denom expintexpand expintrep expon expop exptdispflag exptisolate exptsubst facexpand facsum_combine factlim factorflag factorial_expand factors_only fb feature features file_name file_output_append file_search_demo file_search_lisp file_search_maxima|10 file_search_tests file_search_usage file_type_lisp file_type_maxima|10 fill_color fill_density filled_func fixed_v\
+ertices flipflag float2bf font font_size fortindent fortspaces fpprec fpprintprec functions gamma_expand gammalim gdet genindex gensumnum GGFCFMAX GGFINFINITY globalsolve gnuplot_command gnuplot_curve_styles gnuplot_curve_titles gnuplot_default_term_command gnuplot_dumb_term_command gnuplot_file_args gnuplot_file_name gnuplot_out_file gnuplot_pdf_term_command gnuplot_pm3d gnuplot_png_term_command gnuplot_postamble gnuplot_preamble gnuplot_ps_term_command gnuplot_svg_term_command gnuplot_term gnu\
+plot_view_args Gosper_in_Zeilberger gradefs grid grid2d grind halfangles head_angle head_both head_length head_type height hypergeometric_representation %iargs ibase icc1 icc2 icounter idummyx ieqnprint ifb ifc1 ifc2 ifg ifgi ifr iframe_bracket_form ifri igeowedge_flag ikt1 ikt2 imaginary inchar increasing infeval infinity inflag infolists inm inmc1 inmc2 intanalysis integer integervalued integrate_use_rootsof integration_constant integration_constant_counter interpolate_color intfaclim ip_grid \
+ip_grid_in irrational isolate_wrt_times iterations itr julia_parameter %k1 %k2 keepfloat key key_pos kinvariant kt label label_alignment label_orientation labels lassociative lbfgs_ncorrections lbfgs_nfeval_max leftjust legend letrat let_rule_packages lfg lg lhospitallim limsubst linear linear_solver linechar linel|10 linenum line_type linewidth line_width linsolve_params linsolvewarn lispdisp listarith listconstvars listdummyvars lmxchar load_pathname loadprint logabs logarc logcb logconcoeffp \
+logexpand lognegint logsimp logx logx_secondary logy logy_secondary logz lriem m1pbranch macroexpansion macros mainvar manual_demo maperror mapprint matrix_element_add matrix_element_mult matrix_element_transpose maxapplydepth maxapplyheight maxima_tempdir|10 maxima_userdir|10 maxnegex MAX_ORD maxposex maxpsifracdenom maxpsifracnum maxpsinegint maxpsiposint maxtayorder mesh_lines_color method mod_big_prime mode_check_errorp mode_checkp mode_check_warnp mod_test mod_threshold modular_linear_solve\
+r modulus multiplicative multiplicities myoptions nary negdistrib negsumdispflag newline newtonepsilon newtonmaxiter nextlayerfactor niceindicespref nm nmc noeval nolabels nonegative_lp noninteger nonscalar noun noundisp nouns np npi nticks ntrig numer numer_pbranch obase odd oddfun opacity opproperties opsubst optimprefix optionset orientation origin orthopoly_returns_intervals outative outchar packagefile palette partswitch pdf_file pfeformat phiresolution %piargs piece pivot_count_sx pivot_ma\
+x_sx plot_format plot_options plot_realpart png_file pochhammer_max_index points pointsize point_size points_joined point_type poislim poisson poly_coefficient_ring poly_elimination_order polyfactor poly_grobner_algorithm poly_grobner_debug poly_monomial_order poly_primary_elimination_order poly_return_term_list poly_secondary_elimination_order poly_top_reduction_only posfun position powerdisp pred prederror primep_number_of_tests product_use_gamma program programmode promote_float_to_bigfloat p\
+rompt proportional_axes props psexpand ps_file radexpand radius radsubstflag rassociative ratalgdenom ratchristof ratdenomdivide rateinstein ratepsilon ratfac rational ratmx ratprint ratriemann ratsimpexpons ratvarswitch ratweights ratweyl ratwtlvl real realonly redraw refcheck resolution restart resultant ric riem rmxchar %rnum_list rombergabs rombergit rombergmin rombergtol rootsconmode rootsepsilon run_viewer same_xy same_xyz savedef savefactors scalar scalarmatrixp scale scale_lp setcheck se\
+tcheckbreak setval show_edge_color show_edges show_edge_type show_edge_width show_id show_label showtime show_vertex_color show_vertex_size show_vertex_type show_vertices show_weight simp simplified_output simplify_products simpproduct simpsum sinnpiflag solvedecomposes solveexplicit solvefactors solvenullwarn solveradcan solvetrigwarn space sparse sphere spring_embedding_depth sqrtdispflag stardisp startphi starttheta stats_numer stringdisp structures style sublis_apply_lambda subnumsimp sumexp\
+and sumsplitfact surface surface_hide svg_file symmetric tab taylordepth taylor_logexpand taylor_order_coefficients taylor_truncate_polynomials tensorkill terminal testsuite_files thetaresolution timer_devalue title tlimswitch tr track transcompile transform transform_xy translate_fast_arrays transparent transrun tr_array_as_ref tr_bound_function_applyp tr_file_tty_messagesp tr_float_can_branch_complex tr_function_call_default trigexpandplus trigexpandtimes triginverses trigsign trivial_solution\
+s tr_numer tr_optimize_max_loop tr_semicompile tr_state_vars tr_warn_bad_function_calls tr_warn_fexpr tr_warn_meval tr_warn_mode tr_warn_undeclared tr_warn_undefined_variable tstep ttyoff tube_extremes ufg ug %unitexpand unit_vectors uric uriem use_fast_arrays user_preamble usersetunits values vect_cross verbose vertex_color vertex_coloring vertex_partition vertex_size vertex_type view warnings weyl width windowname windowtitle wired_surface wireframe xaxis xaxis_color xaxis_secondary xaxis_type\
+ xaxis_width xlabel xlabel_secondary xlength xrange xrange_secondary xtics xtics_axis xtics_rotate xtics_rotate_secondary xtics_secondary xtics_secondary_axis xu_grid x_voxel xy_file xyplane xy_scale yaxis yaxis_color yaxis_secondary yaxis_type yaxis_width ylabel ylabel_secondary ylength yrange yrange_secondary ytics ytics_axis ytics_rotate ytics_rotate_secondary ytics_secondary ytics_secondary_axis yv_grid y_voxel yx_ratio zaxis zaxis_color zaxis_type zaxis_width zeroa zerob zerobern zeta%pi zl\
+abel zlabel_rotate zlength zmin zn_primroot_limit zn_primroot_pretest",symbol:"_ __ %|0 %%|0"},contains:[{className:"comment",begin:"/\\*",end:"\\*/",contains:["self"]},hljs.QUOTE_STRING_MODE,{className:"number",relevance:0,variants:[{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Ee][-+]?\\d+\\b"},{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Bb][-+]?\\d+\\b",relevance:10},{begin:"\\b(\\.\\d+|\\d+\\.\\d+)\\b"},{begin:"\\b(\\d+|0[0-9A-Za-z]+)\\.?\\b"}]}],illegal:/@/}}function mel(hljs){return{name:"\
+MEL",keywords:"int float string vector matrix if else switch case default while do for in break continue global proc return about abs addAttr addAttributeEditorNodeHelp addDynamic addNewShelfTab addPP addPanelCategory addPrefixToName advanceToNextDrivenKey affectedNet affects aimConstraint air alias aliasAttr align alignCtx alignCurve alignSurface allViewFit ambientLight angle angleBetween animCone animCurveEditor animDisplay animView annotate appendStringArray applicationName applyAttrPreset ap\
+plyTake arcLenDimContext arcLengthDimension arclen arrayMapper art3dPaintCtx artAttrCtx artAttrPaintVertexCtx artAttrSkinPaintCtx artAttrTool artBuildPaintMenu artFluidAttrCtx artPuttyCtx artSelectCtx artSetPaintCtx artUserPaintCtx assignCommand assignInputDevice assignViewportFactories attachCurve attachDeviceAttr attachSurface attrColorSliderGrp attrCompatibility attrControlGrp attrEnumOptionMenu attrEnumOptionMenuGrp attrFieldGrp attrFieldSliderGrp attrNavigationControlGrp attrPresetEditWin a\
+ttributeExists attributeInfo attributeMenu attributeQuery autoKeyframe autoPlace bakeClip bakeFluidShading bakePartialHistory bakeResults bakeSimulation basename basenameEx batchRender bessel bevel bevelPlus binMembership bindSkin blend2 blendShape blendShapeEditor blendShapePanel blendTwoAttr blindDataType boneLattice boundary boxDollyCtx boxZoomCtx bufferCurve buildBookmarkMenu buildKeyframeMenu button buttonManip CBG cacheFile cacheFileCombine cacheFileMerge cacheFileTrack camera cameraView c\
+anCreateManip canvas capitalizeString catch catchQuiet ceil changeSubdivComponentDisplayLevel changeSubdivRegion channelBox character characterMap characterOutlineEditor characterize chdir checkBox checkBoxGrp checkDefaultRenderGlobals choice circle circularFillet clamp clear clearCache clip clipEditor clipEditorCurrentTimeCtx clipSchedule clipSchedulerOutliner clipTrimBefore closeCurve closeSurface cluster cmdFileOutput cmdScrollFieldExecuter cmdScrollFieldReporter cmdShell coarsenSubdivSelecti\
+onList collision color colorAtPoint colorEditor colorIndex colorIndexSliderGrp colorSliderButtonGrp colorSliderGrp columnLayout commandEcho commandLine commandPort compactHairSystem componentEditor compositingInterop computePolysetVolume condition cone confirmDialog connectAttr connectControl connectDynamic connectJoint connectionInfo constrain constrainValue constructionHistory container containsMultibyte contextInfo control convertFromOldLayers convertIffToPsd convertLightmap convertSolidTx co\
+nvertTessellation convertUnit copyArray copyFlexor copyKey copySkinWeights cos cpButton cpCache cpClothSet cpCollision cpConstraint cpConvClothToMesh cpForces cpGetSolverAttr cpPanel cpProperty cpRigidCollisionFilter cpSeam cpSetEdit cpSetSolverAttr cpSolver cpSolverTypes cpTool cpUpdateClothUVs createDisplayLayer createDrawCtx createEditor createLayeredPsdFile createMotionField createNewShelf createNode createRenderLayer createSubdivRegion cross crossProduct ctxAbort ctxCompletion ctxEditMode c\
+txTraverse currentCtx currentTime currentTimeCtx currentUnit curve curveAddPtCtx curveCVCtx curveEPCtx curveEditorCtx curveIntersect curveMoveEPCtx curveOnSurface curveSketchCtx cutKey cycleCheck cylinder dagPose date defaultLightListCheckBox defaultNavigation defineDataServer defineVirtualDevice deformer deg_to_rad delete deleteAttr deleteShadingGroupsAndMaterials deleteShelfTab deleteUI deleteUnusedBrushes delrandstr detachCurve detachDeviceAttr detachSurface deviceEditor devicePanel dgInfo dg\
+dirty dgeval dgtimer dimWhen directKeyCtx directionalLight dirmap dirname disable disconnectAttr disconnectJoint diskCache displacementToPoly displayAffected displayColor displayCull displayLevelOfDetail displayPref displayRGBColor displaySmoothness displayStats displayString displaySurface distanceDimContext distanceDimension doBlur dolly dollyCtx dopeSheetEditor dot dotProduct doubleProfileBirailSurface drag dragAttrContext draggerContext dropoffLocator duplicate duplicateCurve duplicateSurfac\
+e dynCache dynControl dynExport dynExpression dynGlobals dynPaintEditor dynParticleCtx dynPref dynRelEdPanel dynRelEditor dynamicLoad editAttrLimits editDisplayLayerGlobals editDisplayLayerMembers editRenderLayerAdjustment editRenderLayerGlobals editRenderLayerMembers editor editorTemplate effector emit emitter enableDevice encodeString endString endsWith env equivalent equivalentTol erf error eval evalDeferred evalEcho event exactWorldBoundingBox exclusiveLightCheckBox exec executeForEachObject\
+ exists exp expression expressionEditorListen extendCurve extendSurface extrude fcheck fclose feof fflush fgetline fgetword file fileBrowserDialog fileDialog fileExtension fileInfo filetest filletCurve filter filterCurve filterExpand filterStudioImport findAllIntersections findAnimCurves findKeyframe findMenuItem findRelatedSkinCluster finder firstParentOf fitBspline flexor floatEq floatField floatFieldGrp floatScrollBar floatSlider floatSlider2 floatSliderButtonGrp floatSliderGrp floor flow flu\
+idCacheInfo fluidEmitter fluidVoxelInfo flushUndo fmod fontDialog fopen formLayout format fprint frameLayout fread freeFormFillet frewind fromNativePath fwrite gamma gauss geometryConstraint getApplicationVersionAsFloat getAttr getClassification getDefaultBrush getFileList getFluidAttr getInputDeviceRange getMayaPanelTypes getModifiers getPanel getParticleAttr getPluginResource getenv getpid glRender glRenderEditor globalStitch gmatch goal gotoBindPose grabColor gradientControl gradientControlNo\
+Attr graphDollyCtx graphSelectContext graphTrackCtx gravity grid gridLayout group groupObjectsByName HfAddAttractorToAS HfAssignAS HfBuildEqualMap HfBuildFurFiles HfBuildFurImages HfCancelAFR HfConnectASToHF HfCreateAttractor HfDeleteAS HfEditAS HfPerformCreateAS HfRemoveAttractorFromAS HfSelectAttached HfSelectAttractors HfUnAssignAS hardenPointCurve hardware hardwareRenderPanel headsUpDisplay headsUpMessage help helpLine hermite hide hilite hitTest hotBox hotkey hotkeyCheck hsv_to_rgb hudButto\
+n hudSlider hudSliderButton hwReflectionMap hwRender hwRenderLoad hyperGraph hyperPanel hyperShade hypot iconTextButton iconTextCheckBox iconTextRadioButton iconTextRadioCollection iconTextScrollList iconTextStaticLabel ikHandle ikHandleCtx ikHandleDisplayScale ikSolver ikSplineHandleCtx ikSystem ikSystemInfo ikfkDisplayMethod illustratorCurves image imfPlugins inheritTransform insertJoint insertJointCtx insertKeyCtx insertKnotCurve insertKnotSurface instance instanceable instancer intField intF\
+ieldGrp intScrollBar intSlider intSliderGrp interToUI internalVar intersect iprEngine isAnimCurve isConnected isDirty isParentOf isSameObject isTrue isValidObjectName isValidString isValidUiName isolateSelect itemFilter itemFilterAttr itemFilterRender itemFilterType joint jointCluster jointCtx jointDisplayScale jointLattice keyTangent keyframe keyframeOutliner keyframeRegionCurrentTimeCtx keyframeRegionDirectKeyCtx keyframeRegionDollyCtx keyframeRegionInsertKeyCtx keyframeRegionMoveKeyCtx keyfra\
+meRegionScaleKeyCtx keyframeRegionSelectKeyCtx keyframeRegionSetKeyCtx keyframeRegionTrackCtx keyframeStats lassoContext lattice latticeDeformKeyCtx launch launchImageEditor layerButton layeredShaderPort layeredTexturePort layout layoutDialog lightList lightListEditor lightListPanel lightlink lineIntersection linearPrecision linstep listAnimatable listAttr listCameras listConnections listDeviceAttachments listHistory listInputDeviceAxes listInputDeviceButtons listInputDevices listMenuAnnotation \
+listNodeTypes listPanelCategories listRelatives listSets listTransforms listUnselected listerEditor loadFluid loadNewShelf loadPlugin loadPluginLanguageResources loadPrefObjects localizedPanelLabel lockNode loft log longNameOf lookThru ls lsThroughFilter lsType lsUI Mayatomr mag makeIdentity makeLive makePaintable makeRoll makeSingleSurface makeTubeOn makebot manipMoveContext manipMoveLimitsCtx manipOptions manipRotateContext manipRotateLimitsCtx manipScaleContext manipScaleLimitsCtx marker matc\
+h max memory menu menuBarLayout menuEditor menuItem menuItemToShelf menuSet menuSetPref messageLine min minimizeApp mirrorJoint modelCurrentTimeCtx modelEditor modelPanel mouse movIn movOut move moveIKtoFK moveKeyCtx moveVertexAlongDirection multiProfileBirailSurface mute nParticle nameCommand nameField namespace namespaceInfo newPanelItems newton nodeCast nodeIconButton nodeOutliner nodePreset nodeType noise nonLinear normalConstraint normalize nurbsBoolean nurbsCopyUVSet nurbsCube nurbsEditUV \
+nurbsPlane nurbsSelect nurbsSquare nurbsToPoly nurbsToPolygonsPref nurbsToSubdiv nurbsToSubdivPref nurbsUVSet nurbsViewDirectionVector objExists objectCenter objectLayer objectType objectTypeUI obsoleteProc oceanNurbsPreviewPlane offsetCurve offsetCurveOnSurface offsetSurface openGLExtension openMayaPref optionMenu optionMenuGrp optionVar orbit orbitCtx orientConstraint outlinerEditor outlinerPanel overrideModifier paintEffectsDisplay pairBlend palettePort paneLayout panel panelConfiguration pan\
+elHistory paramDimContext paramDimension paramLocator parent parentConstraint particle particleExists particleInstancer particleRenderInfo partition pasteKey pathAnimation pause pclose percent performanceOptions pfxstrokes pickWalk picture pixelMove planarSrf plane play playbackOptions playblast plugAttr plugNode pluginInfo pluginResourceUtil pointConstraint pointCurveConstraint pointLight pointMatrixMult pointOnCurve pointOnSurface pointPosition poleVectorConstraint polyAppend polyAppendFacetCt\
+x polyAppendVertex polyAutoProjection polyAverageNormal polyAverageVertex polyBevel polyBlendColor polyBlindData polyBoolOp polyBridgeEdge polyCacheMonitor polyCheck polyChipOff polyClipboard polyCloseBorder polyCollapseEdge polyCollapseFacet polyColorBlindData polyColorDel polyColorPerVertex polyColorSet polyCompare polyCone polyCopyUV polyCrease polyCreaseCtx polyCreateFacet polyCreateFacetCtx polyCube polyCut polyCutCtx polyCylinder polyCylindricalProjection polyDelEdge polyDelFacet polyDelVe\
+rtex polyDuplicateAndConnect polyDuplicateEdge polyEditUV polyEditUVShell polyEvaluate polyExtrudeEdge polyExtrudeFacet polyExtrudeVertex polyFlipEdge polyFlipUV polyForceUV polyGeoSampler polyHelix polyInfo polyInstallAction polyLayoutUV polyListComponentConversion polyMapCut polyMapDel polyMapSew polyMapSewMove polyMergeEdge polyMergeEdgeCtx polyMergeFacet polyMergeFacetCtx polyMergeUV polyMergeVertex polyMirrorFace polyMoveEdge polyMoveFacet polyMoveFacetUV polyMoveUV polyMoveVertex polyNorma\
+l polyNormalPerVertex polyNormalizeUV polyOptUvs polyOptions polyOutput polyPipe polyPlanarProjection polyPlane polyPlatonicSolid polyPoke polyPrimitive polyPrism polyProjection polyPyramid polyQuad polyQueryBlindData polyReduce polySelect polySelectConstraint polySelectConstraintMonitor polySelectCtx polySelectEditCtx polySeparate polySetToFaceNormal polySewEdge polyShortestPathCtx polySmooth polySoftEdge polySphere polySphericalProjection polySplit polySplitCtx polySplitEdge polySplitRing poly\
+SplitVertex polyStraightenUVBorder polySubdivideEdge polySubdivideFacet polyToSubdiv polyTorus polyTransfer polyTriangulate polyUVSet polyUnite polyWedgeFace popen popupMenu pose pow preloadRefEd print progressBar progressWindow projFileViewer projectCurve projectTangent projectionContext projectionManip promptDialog propModCtx propMove psdChannelOutliner psdEditTextureFile psdExport psdTextureFile putenv pwd python querySubdiv quit rad_to_deg radial radioButton radioButtonGrp radioCollection ra\
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+end:/>/,contains:[XML_META_KEYWORDS,XML_META_PAR_KEYWORDS,QUOTE_META_STRING_MODE,APOS_META_STRING_MODE]}]}]},hljs.COMMENT(/<!--/,/-->/,{relevance:10}),{begin:/<!\[CDATA\[/,end:/\]\]>/,relevance:10},XML_ENTITIES,{className:"meta",end:/\?>/,variants:[{begin:/<\?xml/,relevance:10,contains:[QUOTE_META_STRING_MODE]},{begin:/<\?[a-z][a-z0-9]+/}]},{className:"tag",begin:/<style(?=\s|>)/,end:/>/,keywords:{name:"style"},contains:[TAG_INTERNALS],starts:{end:/<\/style>/,returnEnd:!0,subLanguage:["css","xml"]}},
+{className:"tag",begin:/<script(?=\s|>)/,end:/>/,keywords:{name:"script"},contains:[TAG_INTERNALS],starts:{end:/<\/script>/,returnEnd:!0,subLanguage:["javascript","handlebars","xml"]}},{className:"tag",begin:/<>|<\/>/},{className:"tag",begin:regex.concat(/</,regex.lookahead(regex.concat(TAG_NAME_RE,regex.either(/\/>/,/>/,/\s/)))),end:/\/?>/,contains:[{className:"name",begin:TAG_NAME_RE,relevance:0,starts:TAG_INTERNALS}]},{className:"tag",begin:regex.concat(/<\//,regex.lookahead(regex.concat(TAG_NAME_RE,
+/>/))),contains:[{className:"name",begin:TAG_NAME_RE,relevance:0},{begin:/>/,relevance:0,endsParent:!0}]}]}}function yaml(hljs){const LITERALS2="true false yes no null",URI_CHARACTERS="[\\w#;/?:@&=+$,.~*'()[\\]]+",KEY={className:"attr",variants:[{begin:/[\w*@][\w*@ :()\./-]*:(?=[ \t]|$)/},{begin:/"[\w*@][\w*@ :()\./-]*":(?=[ \t]|$)/},{begin:/'[\w*@][\w*@ :()\./-]*':(?=[ \t]|$)/}]},TEMPLATE_VARIABLES={className:"template-variable",variants:[{begin:/\{\{/,end:/\}\}/},{begin:/%\{/,end:/\}/}]},SINGLE_QUOTE_STRING={
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+)?"+"(\\.[0-9]*)?"+"([ \\t])*(Z|[-+][0-9][0-9]?(:[0-9][0-9])?)?"+"\\b"},VALUE_CONTAINER={end:",",endsWithParent:!0,excludeEnd:!0,keywords:LITERALS2,relevance:0},OBJECT2={begin:/\{/,end:/\}/,contains:[VALUE_CONTAINER],illegal:"\\n",relevance:0},ARRAY2={begin:"\\[",end:"\\]",contains:[VALUE_CONTAINER],illegal:"\\n",relevance:0},MODES2=[KEY,{className:"meta",begin:"^---\\s*$",relevance:10},{className:"string",begin:"[\\|>]([1-9]?[+-])?[ ]*\\n( +)[^ ][^\\n]*\\n(\\2[^\\n]+\\n?)*"},{begin:"<%[%=-]?",end:"\
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+TIMESTAMP,{className:"number",begin:hljs.C_NUMBER_RE+"\\b",relevance:0},OBJECT2,ARRAY2,SINGLE_QUOTE_STRING,STRING],VALUE_MODES=[...MODES2];return VALUE_MODES.pop(),VALUE_MODES.push(CONTAINER_STRING),VALUE_CONTAINER.contains=VALUE_MODES,{name:"YAML",case_insensitive:!0,aliases:["yml"],contains:MODES2}}const grammars$1={arduino,bash,c,cpp,csharp,css,diff,go,graphql,ini,java,javascript:javascript$1,json,kotlin,less,lua,makefile,markdown,objectivec,perl,php,"php-template":phpTemplate,plaintext,python,
+"python-repl":pythonRepl,r,ruby,rust,scss,shell,sql,swift,typescript,vbnet,wasm,xml:xml$1,yaml},grammars={...grammars$1,"1c":_1c,abnf,accesslog,actionscript,ada,angelscript,apache,applescript,arcade,armasm,asciidoc,aspectj,autohotkey,autoit,avrasm,awk,axapta,basic,bnf,brainfuck,cal,capnproto,ceylon,clean,clojure,"clojure-repl":clojureRepl,cmake,coffeescript,coq,cos,crmsh,crystal,csp,d,dart,delphi,django,dns,dockerfile,dos,dsconfig,dts,dust,ebnf,elixir,elm,erb,erlang,"erlang-repl":erlangRepl,excel,
+fix,flix,fortran,fsharp,gams,gauss,gcode,gherkin,glsl,gml,golo,gradle,groovy,haml,handlebars,haskell,haxe,hsp,http,hy,inform7,irpf90,isbl,"jboss-cli":jbossCli,julia,"julia-repl":juliaRepl,lasso,latex,ldif,leaf,lisp,livecodeserver,livescript,llvm,lsl,mathematica,matlab,maxima,mel,mercury,mipsasm,mizar,mojolicious,monkey,moonscript,n1ql,nestedtext,nginx,nim,nix,"node-repl":nodeRepl,nsis,ocaml,openscad,oxygene,parser3,pf,pgsql,pony,powershell,processing,profile,prolog,properties,protobuf,puppet,purebasic,
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+"Could not highlight with `Highlight.js`",{cause:result.errorRaised});const root2=result._emitter.root,data=root2.data;return data.language=result.language,data.relevance=result.relevance,root2}function highlightAuto(value,options){const subset=(options||emptyOptions$4).subset||listLanguages();let index2=-1,relevance=0,result;for(;++index2<subset.length;){const name=subset[index2];if(!high.getLanguage(name))continue;const current2=highlight(name,value,options);current2.data&&current2.data.relevance!==
+void 0&&current2.data.relevance>relevance&&(relevance=current2.data.relevance,result=current2)}return result||{type:"root",children:[],data:{language:void 0,relevance}}}function listLanguages(){return high.listLanguages()}function register(grammarsOrName,grammar){if(typeof grammarsOrName=="string")high.registerLanguage(grammarsOrName,grammar);else{let name;for(name in grammarsOrName)Object.hasOwn(grammarsOrName,name)&&high.registerLanguage(name,grammarsOrName[name])}}function registerAlias(aliasesOrName,alias){
+if(typeof aliasesOrName=="string")high.registerAliases(typeof alias=="string"?alias:[...alias],{languageName:aliasesOrName});else{let key2;for(key2 in aliasesOrName)if(Object.hasOwn(aliasesOrName,key2)){const aliases=aliasesOrName[key2];high.registerAliases(typeof aliases=="string"?aliases:[...aliases],{languageName:key2})}}}function registered(aliasOrName){return!!high.getLanguage(aliasOrName)}}class HastEmitter{constructor(options){this.options=options,this.root={type:"root",children:[],data:{
+language:void 0,relevance:0}},this.stack=[this.root]}addText(value){if(value==="")return;const current2=this.stack[this.stack.length-1],tail=current2.children[current2.children.length-1];tail&&tail.type==="text"?tail.value+=value:current2.children.push({type:"text",value})}startScope(rawName){this.openNode(String(rawName))}endScope(){this.closeNode()}__addSublanguage(other,name){const current2=this.stack[this.stack.length-1],results=other.root.children;name?current2.children.push({type:"element",
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+const settings=options||emptyOptions$3,aliases=settings.aliases,detect=settings.detect||!1,languages=settings.languages||grammars$1,plainText=settings.plainText,prefix=settings.prefix,subset=settings.subset;let name="hljs";const lowlight=createLowlight(languages);if(aliases&&lowlight.registerAlias(aliases),prefix){const pos=prefix.indexOf("-");name=pos===-1?prefix:prefix.slice(0,pos)}return function(tree,file){visit(tree,"element",function(node2,_,parent){if(node2.tagName!=="code"||!parent||parent.
+type!=="element"||parent.tagName!=="pre")return;const lang=language(node2);if(lang===!1||!lang&&!detect||lang&&plainText&&plainText.includes(lang))return;Array.isArray(node2.properties.className)||(node2.properties.className=[]),node2.properties.className.includes(name)||node2.properties.className.unshift(name);const text2=toText(node2,{whitespace:"pre"});let result;try{result=lang?lowlight.highlight(lang,text2,{prefix}):lowlight.highlightAuto(text2,{prefix,subset})}catch(error2){const cause=error2;
+if(lang&&/Unknown language/.test(cause.message)){file.message("Cannot highlight as `"+lang+"`, it’s not registered",{ancestors:[parent,node2],cause,place:node2.position,ruleId:"missing-language",source:"rehype-highlight"});return}throw cause}!lang&&result.data&&result.data.language&&node2.properties.className.push("language-"+result.data.language),result.children.length>0&&(node2.children=result.children)})}}function language(node2){const list2=node2.properties.className;let index2=-1;if(!Array.
+isArray(list2))return;let name;for(;++index2<list2.length;){const value=String(list2[index2]);if(value==="no-highlight"||value==="nohighlight")return!1;!name&&value.slice(0,5)==="lang-"&&(name=value.slice(5)),!name&&value.slice(0,9)==="language-"&&(name=value.slice(9))}return name}function blockquote(state2,node2){const result={type:"element",tagName:"blockquote",properties:{},children:state2.wrap(state2.all(node2),!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function hardBreak(state2,node2){
+const result={type:"element",tagName:"br",properties:{},children:[]};return state2.patch(node2,result),[state2.applyData(node2,result),{type:"text",value:`
+`}]}function code(state2,node2){const value=node2.value?node2.value+`
+`:"",properties2={},language2=node2.lang?node2.lang.split(/\s+/):[];language2.length>0&&(properties2.className=["language-"+language2[0]]);let result={type:"element",tagName:"code",properties:properties2,children:[{type:"text",value}]};return node2.meta&&(result.data={meta:node2.meta}),state2.patch(node2,result),result=state2.applyData(node2,result),result={type:"element",tagName:"pre",properties:{},children:[result]},state2.patch(node2,result),result}function strikethrough(state2,node2){const result={
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+void 0,length=align?align.length:node2.children.length;let cellIndex=-1;const cells2=[];for(;++cellIndex<length;){const cell2=node2.children[cellIndex],properties2={},alignValue=align?align[cellIndex]:void 0;alignValue&&(properties2.align=alignValue);let result2={type:"element",tagName,properties:properties2,children:[]};cell2&&(result2.children=state2.all(cell2),state2.patch(cell2,result2),result2=state2.applyData(cell2,result2)),cells2.push(result2)}const result={type:"element",tagName:"tr",properties:{},
+children:state2.wrap(cells2,!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function tableCell(state2,node2){const result={type:"element",tagName:"td",properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}const tab=9,space=32;function trimLines(value){const source2=String(value),search2=/\r?\n|\r/g;let match=search2.exec(source2),last=0;const lines=[];for(;match;)lines.push(trimLine(source2.slice(last,match.index),last>0,
+!0),match[0]),last=match.index+match[0].length,match=search2.exec(source2);return lines.push(trimLine(source2.slice(last),last>0,!1)),lines.join("")}function trimLine(value,start2,end){let startIndex=0,endIndex=value.length;if(start2){let code2=value.codePointAt(startIndex);for(;code2===tab||code2===space;)startIndex++,code2=value.codePointAt(startIndex)}if(end){let code2=value.codePointAt(endIndex-1);for(;code2===tab||code2===space;)endIndex--,code2=value.codePointAt(endIndex-1)}return endIndex>
+startIndex?value.slice(startIndex,endIndex):""}function text$2(state2,node2){const result={type:"text",value:trimLines(String(node2.value))};return state2.patch(node2,result),state2.applyData(node2,result)}function thematicBreak(state2,node2){const result={type:"element",tagName:"hr",properties:{},children:[]};return state2.patch(node2,result),state2.applyData(node2,result)}const handlers={blockquote,break:hardBreak,code,delete:strikethrough,emphasis,footnoteReference,heading,html:html$4,imageReference,
+image,inlineCode,linkReference,link,listItem,list,paragraph,root:root$t,strong,table,tableCell,tableRow,text:text$2,thematicBreak,toml:ignore,yaml:ignore,definition:ignore,footnoteDefinition:ignore};function ignore(){}const VOID=-1,PRIMITIVE=0,ARRAY=1,OBJECT=2,DATE=3,REGEXP=4,MAP=5,SET=6,ERROR=7,BIGINT=8,env=typeof self=="object"?self:globalThis,deserializer=($,_)=>{const as=(out,index2)=>($.set(index2,out),out),unpair=index2=>{if($.has(index2))return $.get(index2);const[type2,value]=_[index2];switch(type2){case PRIMITIVE:case VOID:
+return as(value,index2);case ARRAY:{const arr=as([],index2);for(const index3 of value)arr.push(unpair(index3));return arr}case OBJECT:{const object2=as({},index2);for(const[key2,index3]of value)object2[unpair(key2)]=unpair(index3);return object2}case DATE:return as(new Date(value),index2);case REGEXP:{const{source:source2,flags:flags2}=value;return as(new RegExp(source2,flags2),index2)}case MAP:{const map2=as(new Map,index2);for(const[key2,index3]of value)map2.set(unpair(key2),unpair(index3));return map2}case SET:{
+const set2=as(new Set,index2);for(const index3 of value)set2.add(unpair(index3));return set2}case ERROR:{const{name,message}=value;return as(new env[name](message),index2)}case BIGINT:return as(BigInt(value),index2);case"BigInt":return as(Object(BigInt(value)),index2);case"ArrayBuffer":return as(new Uint8Array(value).buffer,value);case"DataView":{const{buffer}=new Uint8Array(value);return as(new DataView(buffer),value)}}return as(new env[type2](value),index2)};return unpair},deserialize=serialized=>deserializer(
+new Map,serialized)(0),EMPTY="",{toString}={},{keys}=Object,typeOf=value=>{const type2=typeof value;if(type2!=="object"||!value)return[PRIMITIVE,type2];const asString=toString.call(value).slice(8,-1);switch(asString){case"Array":return[ARRAY,EMPTY];case"Object":return[OBJECT,EMPTY];case"Date":return[DATE,EMPTY];case"RegExp":return[REGEXP,EMPTY];case"Map":return[MAP,EMPTY];case"Set":return[SET,EMPTY];case"DataView":return[ARRAY,asString]}return asString.includes("Array")?[ARRAY,asString]:asString.
+includes("Error")?[ERROR,asString]:[OBJECT,asString]},shouldSkip=([TYPE,type2])=>TYPE===PRIMITIVE&&(type2==="function"||type2==="symbol"),serializer=(strict,json2,$,_)=>{const as=(out,value)=>{const index2=_.push(out)-1;return $.set(value,index2),index2},pair=value=>{if($.has(value))return $.get(value);let[TYPE,type2]=typeOf(value);switch(TYPE){case PRIMITIVE:{let entry=value;switch(type2){case"bigint":TYPE=BIGINT,entry=value.toString();break;case"function":case"symbol":if(strict)throw new TypeError(
+"unable to serialize "+type2);entry=null;break;case"undefined":return as([VOID],value)}return as([TYPE,entry],value)}case ARRAY:{if(type2){let spread=value;return type2==="DataView"?spread=new Uint8Array(value.buffer):type2==="ArrayBuffer"&&(spread=new Uint8Array(value)),as([type2,[...spread]],value)}const arr=[],index2=as([TYPE,arr],value);for(const entry of value)arr.push(pair(entry));return index2}case OBJECT:{if(type2)switch(type2){case"BigInt":return as([type2,value.toString()],value);case"\
+Boolean":case"Number":case"String":return as([type2,value.valueOf()],value)}if(json2&&"toJSON"in value)return pair(value.toJSON());const entries=[],index2=as([TYPE,entries],value);for(const key2 of keys(value))(strict||!shouldSkip(typeOf(value[key2])))&&entries.push([pair(key2),pair(value[key2])]);return index2}case DATE:return as([TYPE,value.toISOString()],value);case REGEXP:{const{source:source2,flags:flags2}=value;return as([TYPE,{source:source2,flags:flags2}],value)}case MAP:{const entries=[],
+index2=as([TYPE,entries],value);for(const[key2,entry]of value)(strict||!(shouldSkip(typeOf(key2))||shouldSkip(typeOf(entry))))&&entries.push([pair(key2),pair(entry)]);return index2}case SET:{const entries=[],index2=as([TYPE,entries],value);for(const entry of value)(strict||!shouldSkip(typeOf(entry)))&&entries.push(pair(entry));return index2}}const{message}=value;return as([TYPE,{name:type2,message}],value)};return pair},serialize=(value,{json:json2,lossy}={})=>{const _=[];return serializer(!(json2||
+lossy),!!json2,new Map,_)(value),_},structuredClone$1=typeof structuredClone=="function"?(any2,options)=>options&&("json"in options||"lossy"in options)?deserialize(serialize(any2,options)):structuredClone(any2):(any2,options)=>deserialize(serialize(any2,options));function defaultFootnoteBackContent(_,rereferenceIndex){const result=[{type:"text",value:"↩"}];return rereferenceIndex>1&&result.push({type:"element",tagName:"sup",properties:{},children:[{type:"text",value:String(rereferenceIndex)}]}),
+result}function defaultFootnoteBackLabel(referenceIndex,rereferenceIndex){return"Back to reference "+(referenceIndex+1)+(rereferenceIndex>1?"-"+rereferenceIndex:"")}function footer(state2){const clobberPrefix=typeof state2.options.clobberPrefix=="string"?state2.options.clobberPrefix:"user-content-",footnoteBackContent=state2.options.footnoteBackContent||defaultFootnoteBackContent,footnoteBackLabel=state2.options.footnoteBackLabel||defaultFootnoteBackLabel,footnoteLabel=state2.options.footnoteLabel||
+"Footnotes",footnoteLabelTagName=state2.options.footnoteLabelTagName||"h2",footnoteLabelProperties=state2.options.footnoteLabelProperties||{className:["sr-only"]},listItems=[];let referenceIndex=-1;for(;++referenceIndex<state2.footnoteOrder.length;){const definition2=state2.footnoteById.get(state2.footnoteOrder[referenceIndex]);if(!definition2)continue;const content2=state2.all(definition2),id2=String(definition2.identifier).toUpperCase(),safeId=normalizeUri(id2.toLowerCase());let rereferenceIndex=0;
+const backReferences=[],counts=state2.footnoteCounts.get(id2);for(;counts!==void 0&&++rereferenceIndex<=counts;){backReferences.length>0&&backReferences.push({type:"text",value:" "});let children=typeof footnoteBackContent=="string"?footnoteBackContent:footnoteBackContent(referenceIndex,rereferenceIndex);typeof children=="string"&&(children={type:"text",value:children}),backReferences.push({type:"element",tagName:"a",properties:{href:"#"+clobberPrefix+"fnref-"+safeId+(rereferenceIndex>1?"-"+rereferenceIndex:
+""),dataFootnoteBackref:"",ariaLabel:typeof footnoteBackLabel=="string"?footnoteBackLabel:footnoteBackLabel(referenceIndex,rereferenceIndex),className:["data-footnote-backref"]},children:Array.isArray(children)?children:[children]})}const tail=content2[content2.length-1];if(tail&&tail.type==="element"&&tail.tagName==="p"){const tailTail=tail.children[tail.children.length-1];tailTail&&tailTail.type==="text"?tailTail.value+=" ":tail.children.push({type:"text",value:" "}),tail.children.push(...backReferences)}else
+content2.push(...backReferences);const listItem2={type:"element",tagName:"li",properties:{id:clobberPrefix+"fn-"+safeId},children:state2.wrap(content2,!0)};state2.patch(definition2,listItem2),listItems.push(listItem2)}if(listItems.length!==0)return{type:"element",tagName:"section",properties:{dataFootnotes:!0,className:["footnotes"]},children:[{type:"element",tagName:footnoteLabelTagName,properties:{...structuredClone$1(footnoteLabelProperties),id:"footnote-label"},children:[{type:"text",value:footnoteLabel}]},
+{type:"text",value:`
+`},{type:"element",tagName:"ol",properties:{},children:state2.wrap(listItems,!0)},{type:"text",value:`
+`}]}}const own$2={}.hasOwnProperty,emptyOptions$2={};function createState(tree,options){const settings=options||emptyOptions$2,definitionById=new Map,footnoteById=new Map,footnoteCounts=new Map,handlers$1={...handlers,...settings.handlers},state2={all:all2,applyData,definitionById,footnoteById,footnoteCounts,footnoteOrder:[],handlers:handlers$1,one:one2,options:settings,patch,wrap};return visit(tree,function(node2){if(node2.type==="definition"||node2.type==="footnoteDefinition"){const map2=node2.
+type==="definition"?definitionById:footnoteById,id2=String(node2.identifier).toUpperCase();map2.has(id2)||map2.set(id2,node2)}}),state2;function one2(node2,parent){const type2=node2.type,handle2=state2.handlers[type2];if(own$2.call(state2.handlers,type2)&&handle2)return handle2(state2,node2,parent);if(state2.options.passThrough&&state2.options.passThrough.includes(type2)){if("children"in node2){const{children,...shallow}=node2,result=structuredClone$1(shallow);return result.children=state2.all(node2),
+result}return structuredClone$1(node2)}return(state2.options.unknownHandler||defaultUnknownHandler)(state2,node2,parent)}function all2(parent){const values=[];if("children"in parent){const nodes2=parent.children;let index2=-1;for(;++index2<nodes2.length;){const result=state2.one(nodes2[index2],parent);if(result){if(index2&&nodes2[index2-1].type==="break"&&(!Array.isArray(result)&&result.type==="text"&&(result.value=trimMarkdownSpaceStart(result.value)),!Array.isArray(result)&&result.type==="elem\
+ent")){const head2=result.children[0];head2&&head2.type==="text"&&(head2.value=trimMarkdownSpaceStart(head2.value))}Array.isArray(result)?values.push(...result):values.push(result)}}}return values}}function patch(from,to){from.position&&(to.position=position(from))}function applyData(from,to){let result=to;if(from&&from.data){const hName=from.data.hName,hChildren=from.data.hChildren,hProperties=from.data.hProperties;if(typeof hName=="string")if(result.type==="element")result.tagName=hName;else{const children="\
+children"in result?result.children:[result];result={type:"element",tagName:hName,properties:{},children}}result.type==="element"&&hProperties&&Object.assign(result.properties,structuredClone$1(hProperties)),"children"in result&&result.children&&hChildren!==null&&hChildren!==void 0&&(result.children=hChildren)}return result}function defaultUnknownHandler(state2,node2){const data=node2.data||{},result="value"in node2&&!(own$2.call(data,"hProperties")||own$2.call(data,"hChildren"))?{type:"text",value:node2.
+value}:{type:"element",tagName:"div",properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}function wrap(nodes2,loose){const result=[];let index2=-1;for(loose&&result.push({type:"text",value:`
+`});++index2<nodes2.length;)index2&&result.push({type:"text",value:`
+`}),result.push(nodes2[index2]);return loose&&nodes2.length>0&&result.push({type:"text",value:`
+`}),result}function trimMarkdownSpaceStart(value){let index2=0,code2=value.charCodeAt(index2);for(;code2===9||code2===32;)index2++,code2=value.charCodeAt(index2);return value.slice(index2)}function toHast(tree,options){const state2=createState(tree,options),node2=state2.one(tree,void 0),foot=footer(state2),result=Array.isArray(node2)?{type:"root",children:node2}:node2||{type:"root",children:[]};return foot&&result.children.push({type:"text",value:`
+`},foot),result}function remarkRehype(destination,options){return destination&&"run"in destination?async function(tree,file){const hastTree=toHast(tree,{file,...options});await destination.run(hastTree,file)}:function(tree,file){return toHast(tree,{file,...destination||options})}}class Schema{constructor(property,normal,space2){this.normal=normal,this.property=property,space2&&(this.space=space2)}}Schema.prototype.normal={};Schema.prototype.property={};Schema.prototype.space=void 0;function merge(definitions2,space2){
+const property={},normal={};for(const definition2 of definitions2)Object.assign(property,definition2.property),Object.assign(normal,definition2.normal);return new Schema(property,normal,space2)}function normalize(value){return value.toLowerCase()}class Info{constructor(property,attribute){this.attribute=attribute,this.property=property}}Info.prototype.attribute="";Info.prototype.booleanish=!1;Info.prototype.boolean=!1;Info.prototype.commaOrSpaceSeparated=!1;Info.prototype.commaSeparated=!1;Info.
+prototype.defined=!1;Info.prototype.mustUseProperty=!1;Info.prototype.number=!1;Info.prototype.overloadedBoolean=!1;Info.prototype.property="";Info.prototype.spaceSeparated=!1;Info.prototype.space=void 0;let powers=0;const boolean=increment(),booleanish=increment(),overloadedBoolean=increment(),number=increment(),spaceSeparated=increment(),commaSeparated=increment(),commaOrSpaceSeparated=increment();function increment(){return 2**++powers}const types=Object.freeze(Object.defineProperty({__proto__:null,
+boolean,booleanish,commaOrSpaceSeparated,commaSeparated,number,overloadedBoolean,spaceSeparated},Symbol.toStringTag,{value:"Module"})),checks=Object.keys(types);class DefinedInfo extends Info{constructor(property,attribute,mask,space2){let index2=-1;if(super(property,attribute),mark(this,"space",space2),typeof mask=="number")for(;++index2<checks.length;){const check=checks[index2];mark(this,checks[index2],(mask&types[check])===types[check])}}}DefinedInfo.prototype.defined=!0;function mark(values,key2,value){
+value&&(values[key2]=value)}function create(definition2){const properties2={},normals={};for(const[property,value]of Object.entries(definition2.properties)){const info2=new DefinedInfo(property,definition2.transform(definition2.attributes||{},property),value,definition2.space);definition2.mustUseProperty&&definition2.mustUseProperty.includes(property)&&(info2.mustUseProperty=!0),properties2[property]=info2,normals[normalize(property)]=property,normals[normalize(info2.attribute)]=property}return new Schema(
+properties2,normals,definition2.space)}const aria=create({properties:{ariaActiveDescendant:null,ariaAtomic:booleanish,ariaAutoComplete:null,ariaBusy:booleanish,ariaChecked:booleanish,ariaColCount:number,ariaColIndex:number,ariaColSpan:number,ariaControls:spaceSeparated,ariaCurrent:null,ariaDescribedBy:spaceSeparated,ariaDetails:null,ariaDisabled:booleanish,ariaDropEffect:spaceSeparated,ariaErrorMessage:null,ariaExpanded:booleanish,ariaFlowTo:spaceSeparated,ariaGrabbed:booleanish,ariaHasPopup:null,
+ariaHidden:booleanish,ariaInvalid:null,ariaKeyShortcuts:null,ariaLabel:null,ariaLabelledBy:spaceSeparated,ariaLevel:number,ariaLive:null,ariaModal:booleanish,ariaMultiLine:booleanish,ariaMultiSelectable:booleanish,ariaOrientation:null,ariaOwns:spaceSeparated,ariaPlaceholder:null,ariaPosInSet:number,ariaPressed:booleanish,ariaReadOnly:booleanish,ariaRelevant:null,ariaRequired:booleanish,ariaRoleDescription:spaceSeparated,ariaRowCount:number,ariaRowIndex:number,ariaRowSpan:number,ariaSelected:booleanish,
+ariaSetSize:number,ariaSort:null,ariaValueMax:number,ariaValueMin:number,ariaValueNow:number,ariaValueText:null,role:null},transform(_,property){return property==="role"?property:"aria-"+property.slice(4).toLowerCase()}});function caseSensitiveTransform(attributes,attribute){return attribute in attributes?attributes[attribute]:attribute}function caseInsensitiveTransform(attributes,property){return caseSensitiveTransform(attributes,property.toLowerCase())}const html$3=create({attributes:{acceptcharset:"\
+accept-charset",classname:"class",htmlfor:"for",httpequiv:"http-equiv"},mustUseProperty:["checked","multiple","muted","selected"],properties:{abbr:null,accept:commaSeparated,acceptCharset:spaceSeparated,accessKey:spaceSeparated,action:null,allow:null,allowFullScreen:boolean,allowPaymentRequest:boolean,allowUserMedia:boolean,alt:null,as:null,async:boolean,autoCapitalize:null,autoComplete:spaceSeparated,autoFocus:boolean,autoPlay:boolean,blocking:spaceSeparated,capture:null,charSet:null,checked:boolean,
+cite:null,className:spaceSeparated,cols:number,colSpan:null,content:null,contentEditable:booleanish,controls:boolean,controlsList:spaceSeparated,coords:number|commaSeparated,crossOrigin:null,data:null,dateTime:null,decoding:null,default:boolean,defer:boolean,dir:null,dirName:null,disabled:boolean,download:overloadedBoolean,draggable:booleanish,encType:null,enterKeyHint:null,fetchPriority:null,form:null,formAction:null,formEncType:null,formMethod:null,formNoValidate:boolean,formTarget:null,headers:spaceSeparated,
+height:number,hidden:overloadedBoolean,high:number,href:null,hrefLang:null,htmlFor:spaceSeparated,httpEquiv:spaceSeparated,id:null,imageSizes:null,imageSrcSet:null,inert:boolean,inputMode:null,integrity:null,is:null,isMap:boolean,itemId:null,itemProp:spaceSeparated,itemRef:spaceSeparated,itemScope:boolean,itemType:spaceSeparated,kind:null,label:null,lang:null,language:null,list:null,loading:null,loop:boolean,low:number,manifest:null,max:null,maxLength:number,media:null,method:null,min:null,minLength:number,
+multiple:boolean,muted:boolean,name:null,nonce:null,noModule:boolean,noValidate:boolean,onAbort:null,onAfterPrint:null,onAuxClick:null,onBeforeMatch:null,onBeforePrint:null,onBeforeToggle:null,onBeforeUnload:null,onBlur:null,onCancel:null,onCanPlay:null,onCanPlayThrough:null,onChange:null,onClick:null,onClose:null,onContextLost:null,onContextMenu:null,onContextRestored:null,onCopy:null,onCueChange:null,onCut:null,onDblClick:null,onDrag:null,onDragEnd:null,onDragEnter:null,onDragExit:null,onDragLeave:null,
+onDragOver:null,onDragStart:null,onDrop:null,onDurationChange:null,onEmptied:null,onEnded:null,onError:null,onFocus:null,onFormData:null,onHashChange:null,onInput:null,onInvalid:null,onKeyDown:null,onKeyPress:null,onKeyUp:null,onLanguageChange:null,onLoad:null,onLoadedData:null,onLoadedMetadata:null,onLoadEnd:null,onLoadStart:null,onMessage:null,onMessageError:null,onMouseDown:null,onMouseEnter:null,onMouseLeave:null,onMouseMove:null,onMouseOut:null,onMouseOver:null,onMouseUp:null,onOffline:null,
+onOnline:null,onPageHide:null,onPageShow:null,onPaste:null,onPause:null,onPlay:null,onPlaying:null,onPopState:null,onProgress:null,onRateChange:null,onRejectionHandled:null,onReset:null,onResize:null,onScroll:null,onScrollEnd:null,onSecurityPolicyViolation:null,onSeeked:null,onSeeking:null,onSelect:null,onSlotChange:null,onStalled:null,onStorage:null,onSubmit:null,onSuspend:null,onTimeUpdate:null,onToggle:null,onUnhandledRejection:null,onUnload:null,onVolumeChange:null,onWaiting:null,onWheel:null,
+open:boolean,optimum:number,pattern:null,ping:spaceSeparated,placeholder:null,playsInline:boolean,popover:null,popoverTarget:null,popoverTargetAction:null,poster:null,preload:null,readOnly:boolean,referrerPolicy:null,rel:spaceSeparated,required:boolean,reversed:boolean,rows:number,rowSpan:number,sandbox:spaceSeparated,scope:null,scoped:boolean,seamless:boolean,selected:boolean,shadowRootClonable:boolean,shadowRootDelegatesFocus:boolean,shadowRootMode:null,shape:null,size:number,sizes:null,slot:null,
+span:number,spellCheck:booleanish,src:null,srcDoc:null,srcLang:null,srcSet:null,start:number,step:null,style:null,tabIndex:number,target:null,title:null,translate:null,type:null,typeMustMatch:boolean,useMap:null,value:booleanish,width:number,wrap:null,writingSuggestions:null,align:null,aLink:null,archive:spaceSeparated,axis:null,background:null,bgColor:null,border:number,borderColor:null,bottomMargin:number,cellPadding:null,cellSpacing:null,char:null,charOff:null,classId:null,clear:null,code:null,
+codeBase:null,codeType:null,color:null,compact:boolean,declare:boolean,event:null,face:null,frame:null,frameBorder:null,hSpace:number,leftMargin:number,link:null,longDesc:null,lowSrc:null,marginHeight:number,marginWidth:number,noResize:boolean,noHref:boolean,noShade:boolean,noWrap:boolean,object:null,profile:null,prompt:null,rev:null,rightMargin:number,rules:null,scheme:null,scrolling:booleanish,standby:null,summary:null,text:null,topMargin:number,valueType:null,version:null,vAlign:null,vLink:null,
+vSpace:number,allowTransparency:null,autoCorrect:null,autoSave:null,disablePictureInPicture:boolean,disableRemotePlayback:boolean,prefix:null,property:null,results:number,security:null,unselectable:null},space:"html",transform:caseInsensitiveTransform}),svg$1=create({attributes:{accentHeight:"accent-height",alignmentBaseline:"alignment-baseline",arabicForm:"arabic-form",baselineShift:"baseline-shift",capHeight:"cap-height",className:"class",clipPath:"clip-path",clipRule:"clip-rule",colorInterpolation:"\
+color-interpolation",colorInterpolationFilters:"color-interpolation-filters",colorProfile:"color-profile",colorRendering:"color-rendering",crossOrigin:"crossorigin",dataType:"datatype",dominantBaseline:"dominant-baseline",enableBackground:"enable-background",fillOpacity:"fill-opacity",fillRule:"fill-rule",floodColor:"flood-color",floodOpacity:"flood-opacity",fontFamily:"font-family",fontSize:"font-size",fontSizeAdjust:"font-size-adjust",fontStretch:"font-stretch",fontStyle:"font-style",fontVariant:"\
+font-variant",fontWeight:"font-weight",glyphName:"glyph-name",glyphOrientationHorizontal:"glyph-orientation-horizontal",glyphOrientationVertical:"glyph-orientation-vertical",hrefLang:"hreflang",horizAdvX:"horiz-adv-x",horizOriginX:"horiz-origin-x",horizOriginY:"horiz-origin-y",imageRendering:"image-rendering",letterSpacing:"letter-spacing",lightingColor:"lighting-color",markerEnd:"marker-end",markerMid:"marker-mid",markerStart:"marker-start",navDown:"nav-down",navDownLeft:"nav-down-left",navDownRight:"\
+nav-down-right",navLeft:"nav-left",navNext:"nav-next",navPrev:"nav-prev",navRight:"nav-right",navUp:"nav-up",navUpLeft:"nav-up-left",navUpRight:"nav-up-right",onAbort:"onabort",onActivate:"onactivate",onAfterPrint:"onafterprint",onBeforePrint:"onbeforeprint",onBegin:"onbegin",onCancel:"oncancel",onCanPlay:"oncanplay",onCanPlayThrough:"oncanplaythrough",onChange:"onchange",onClick:"onclick",onClose:"onclose",onCopy:"oncopy",onCueChange:"oncuechange",onCut:"oncut",onDblClick:"ondblclick",onDrag:"o\
+ndrag",onDragEnd:"ondragend",onDragEnter:"ondragenter",onDragExit:"ondragexit",onDragLeave:"ondragleave",onDragOver:"ondragover",onDragStart:"ondragstart",onDrop:"ondrop",onDurationChange:"ondurationchange",onEmptied:"onemptied",onEnd:"onend",onEnded:"onended",onError:"onerror",onFocus:"onfocus",onFocusIn:"onfocusin",onFocusOut:"onfocusout",onHashChange:"onhashchange",onInput:"oninput",onInvalid:"oninvalid",onKeyDown:"onkeydown",onKeyPress:"onkeypress",onKeyUp:"onkeyup",onLoad:"onload",onLoadedData:"\
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+˜",ensp:" ",emsp:" ",thinsp:" ",zwnj:"‌",zwj:"‍",lrm:"‎",rlm:"‏",ndash:"–",mdash:"—",lsquo:"‘",rsquo:"’",sbquo:"‚",ldquo:"“",rdquo:"”",bdquo:"„",dagger:"†",Dagger:"‡",permil:"‰",lsaquo:"‹",rsaquo:"›",euro:"€"},dangerous=["cent","copy","divide","gt","lt","not","para","times"],own$1={}.hasOwnProperty,characters={};let key;for(key in characterEntitiesHtml4)own$1.call(characterEntitiesHtml4,key)&&(characters[characterEntitiesHtml4[key]]=key);const notAlphanumericRegex=/[^\dA-Za-z]/;
+function toNamed(code2,next2,omit2,attribute){const character=String.fromCharCode(code2);if(own$1.call(characters,character)){const name=characters[character],value="&"+name;return omit2&&characterEntitiesLegacy.includes(name)&&!dangerous.includes(name)&&(!attribute||next2&&next2!==61&&notAlphanumericRegex.test(String.fromCharCode(next2)))?value:value+";"}return""}function formatSmart(code2,next2,options){let numeric=toHexadecimal(code2,next2,options.omitOptionalSemicolons),named;if((options.useNamedReferences||
+options.useShortestReferences)&&(named=toNamed(code2,next2,options.omitOptionalSemicolons,options.attribute)),(options.useShortestReferences||!named)&&options.useShortestReferences){const decimal=toDecimal(code2,next2,options.omitOptionalSemicolons);decimal.length<numeric.length&&(numeric=decimal)}return named&&(!options.useShortestReferences||named.length<numeric.length)?named:numeric}function stringifyEntities(value,options){return core(value,Object.assign({format:formatSmart},options))}const htmlCommentRegex=/^>|^->|<!--|-->|--!>|<!-$/g,
+bogusCommentEntitySubset=[">"],commentEntitySubset=["<",">"];function comment(node2,_12,_22,state2){return state2.settings.bogusComments?"<?"+stringifyEntities(node2.value,Object.assign({},state2.settings.characterReferences,{subset:bogusCommentEntitySubset}))+">":"<!--"+node2.value.replace(htmlCommentRegex,encode2)+"-->";function encode2($0){return stringifyEntities($0,Object.assign({},state2.settings.characterReferences,{subset:commentEntitySubset}))}}function doctype(_12,_22,_32,state2){return"\
+<!"+(state2.settings.upperDoctype?"DOCTYPE":"doctype")+(state2.settings.tightDoctype?"":" ")+"html>"}const re=/[ \t\n\f\r]/g;function whitespace(thing){return typeof thing=="object"?thing.type==="text"?empty(thing.value):!1:empty(thing)}function empty(value){return value.replace(re,"")===""}const siblingAfter=siblings(1),siblingBefore=siblings(-1),emptyChildren$1=[];function siblings(increment2){return sibling2;function sibling2(parent,index2,includeWhitespace){const siblings2=parent?parent.children:
+emptyChildren$1;let offset2=(index2||0)+increment2,next2=siblings2[offset2];if(!includeWhitespace)for(;next2&&whitespace(next2);)offset2+=increment2,next2=siblings2[offset2];return next2}}const own={}.hasOwnProperty;function omission(handlers2){return omit2;function omit2(node2,index2,parent){return own.call(handlers2,node2.tagName)&&handlers2[node2.tagName](node2,index2,parent)}}const closing=omission({body:body$1,caption:headOrColgroupOrCaption,colgroup:headOrColgroupOrCaption,dd,dt,head:headOrColgroupOrCaption,
+html:html$1,li,optgroup,option,p,rp:rubyElement,rt:rubyElement,tbody:tbody$1,td:cells,tfoot,th:cells,thead,tr});function headOrColgroupOrCaption(_,index2,parent){const next2=siblingAfter(parent,index2,!0);return!next2||next2.type!=="comment"&&!(next2.type==="text"&&whitespace(next2.value.charAt(0)))}function html$1(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type!=="comment"}function body$1(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.
+type!=="comment"}function p(_,index2,parent){const next2=siblingAfter(parent,index2);return next2?next2.type==="element"&&(next2.tagName==="address"||next2.tagName==="article"||next2.tagName==="aside"||next2.tagName==="blockquote"||next2.tagName==="details"||next2.tagName==="div"||next2.tagName==="dl"||next2.tagName==="fieldset"||next2.tagName==="figcaption"||next2.tagName==="figure"||next2.tagName==="footer"||next2.tagName==="form"||next2.tagName==="h1"||next2.tagName==="h2"||next2.tagName==="h\
+3"||next2.tagName==="h4"||next2.tagName==="h5"||next2.tagName==="h6"||next2.tagName==="header"||next2.tagName==="hgroup"||next2.tagName==="hr"||next2.tagName==="main"||next2.tagName==="menu"||next2.tagName==="nav"||next2.tagName==="ol"||next2.tagName==="p"||next2.tagName==="pre"||next2.tagName==="section"||next2.tagName==="table"||next2.tagName==="ul"):!parent||!(parent.type==="element"&&(parent.tagName==="a"||parent.tagName==="audio"||parent.tagName==="del"||parent.tagName==="ins"||parent.tagName===
+"map"||parent.tagName==="noscript"||parent.tagName==="video"))}function li(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&next2.tagName==="li"}function dt(_,index2,parent){const next2=siblingAfter(parent,index2);return!!(next2&&next2.type==="element"&&(next2.tagName==="dt"||next2.tagName==="dd"))}function dd(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="dt"||next2.tagName==="dd")}function rubyElement(_,index2,parent){
+const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="rp"||next2.tagName==="rt")}function optgroup(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&next2.tagName==="optgroup"}function option(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="option"||next2.tagName==="optgroup")}function thead(_,index2,parent){const next2=siblingAfter(parent,index2);
+return!!(next2&&next2.type==="element"&&(next2.tagName==="tbody"||next2.tagName==="tfoot"))}function tbody$1(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="tbody"||next2.tagName==="tfoot")}function tfoot(_,index2,parent){return!siblingAfter(parent,index2)}function tr(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&next2.tagName==="tr"}function cells(_,index2,parent){const next2=siblingAfter(
+parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="td"||next2.tagName==="th")}const opening=omission({body,colgroup,head,html,tbody});function html(node2){const head2=siblingAfter(node2,-1);return!head2||head2.type!=="comment"}function head(node2){const seen2=new Set;for(const child3 of node2.children)if(child3.type==="element"&&(child3.tagName==="base"||child3.tagName==="title")){if(seen2.has(child3.tagName))return!1;seen2.add(child3.tagName)}const child2=node2.children[0];return!child2||
+child2.type==="element"}function body(node2){const head2=siblingAfter(node2,-1,!0);return!head2||head2.type!=="comment"&&!(head2.type==="text"&&whitespace(head2.value.charAt(0)))&&!(head2.type==="element"&&(head2.tagName==="meta"||head2.tagName==="link"||head2.tagName==="script"||head2.tagName==="style"||head2.tagName==="template"))}function colgroup(node2,index2,parent){const previous2=siblingBefore(parent,index2),head2=siblingAfter(node2,-1,!0);return parent&&previous2&&previous2.type==="eleme\
+nt"&&previous2.tagName==="colgroup"&&closing(previous2,parent.children.indexOf(previous2),parent)?!1:!!(head2&&head2.type==="element"&&head2.tagName==="col")}function tbody(node2,index2,parent){const previous2=siblingBefore(parent,index2),head2=siblingAfter(node2,-1);return parent&&previous2&&previous2.type==="element"&&(previous2.tagName==="thead"||previous2.tagName==="tbody")&&closing(previous2,parent.children.indexOf(previous2),parent)?!1:!!(head2&&head2.type==="element"&&head2.tagName==="tr")}
+const constants={name:[[`	
+\f\r &/=>`.split(""),`	
+\f\r "&'/=>\``.split("")],[`\0	
+\f\r "&'/<=>`.split(""),`\0	
+\f\r "&'/<=>\``.split("")]],unquoted:[[`	
+\f\r &>`.split(""),`\0	
+\f\r "&'<=>\``.split("")],[`\0	
+\f\r "&'<=>\``.split(""),`\0	
+\f\r "&'<=>\``.split("")]],single:[["&'".split(""),"\"&'`".split("")],["\0&'".split(""),"\0\"&'`".split("")]],double:[['"&'.split(""),"\"&'`".split("")],['\0"&'.split(""),"\0\"&'`".split("")]]};function element(node2,index2,parent,state2){const schema=state2.schema,omit2=schema.space==="svg"?!1:state2.settings.omitOptionalTags;let selfClosing=schema.space==="svg"?state2.settings.closeEmptyElements:state2.settings.voids.includes(node2.tagName.toLowerCase());const parts=[];let last;schema.space===
+"html"&&node2.tagName==="svg"&&(state2.schema=svg);const attributes=serializeAttributes(state2,node2.properties),content2=state2.all(schema.space==="html"&&node2.tagName==="template"?node2.content:node2);return state2.schema=schema,content2&&(selfClosing=!1),(attributes||!omit2||!opening(node2,index2,parent))&&(parts.push("<",node2.tagName,attributes?" "+attributes:""),selfClosing&&(schema.space==="svg"||state2.settings.closeSelfClosing)&&(last=attributes.charAt(attributes.length-1),(!state2.settings.
+tightSelfClosing||last==="/"||last&&last!=='"'&&last!=="'")&&parts.push(" "),parts.push("/")),parts.push(">")),parts.push(content2),!selfClosing&&(!omit2||!closing(node2,index2,parent))&&parts.push("</"+node2.tagName+">"),parts.join("")}function serializeAttributes(state2,properties2){const values=[];let index2=-1,key2;if(properties2){for(key2 in properties2)if(properties2[key2]!==null&&properties2[key2]!==void 0){const value=serializeAttribute(state2,key2,properties2[key2]);value&&values.push(value)}}
+for(;++index2<values.length;){const last=state2.settings.tightAttributes?values[index2].charAt(values[index2].length-1):void 0;index2!==values.length-1&&last!=='"'&&last!=="'"&&(values[index2]+=" ")}return values.join("")}function serializeAttribute(state2,key2,value){const info2=find(state2.schema,key2),x=state2.settings.allowParseErrors&&state2.schema.space==="html"?0:1,y=state2.settings.allowDangerousCharacters?0:1;let quote=state2.quote,result;if(info2.overloadedBoolean&&(value===info2.attribute||
+value==="")?value=!0:(info2.boolean||info2.overloadedBoolean)&&(typeof value!="string"||value===info2.attribute||value==="")&&(value=!!value),value==null||value===!1||typeof value=="number"&&Number.isNaN(value))return"";const name=stringifyEntities(info2.attribute,Object.assign({},state2.settings.characterReferences,{subset:constants.name[x][y]}));return value===!0||(value=Array.isArray(value)?(info2.commaSeparated?stringify$1:stringify)(value,{padLeft:!state2.settings.tightCommaSeparatedLists}):
+String(value),state2.settings.collapseEmptyAttributes&&!value)?name:(state2.settings.preferUnquoted&&(result=stringifyEntities(value,Object.assign({},state2.settings.characterReferences,{attribute:!0,subset:constants.unquoted[x][y]}))),result!==value&&(state2.settings.quoteSmart&&ccount(value,quote)>ccount(value,state2.alternative)&&(quote=state2.alternative),result=quote+stringifyEntities(value,Object.assign({},state2.settings.characterReferences,{subset:(quote==="'"?constants.single:constants.
+double)[x][y],attribute:!0}))+quote),name+(result&&"="+result))}const textEntitySubset=["<","&"];function text(node2,_,parent,state2){return parent&&parent.type==="element"&&(parent.tagName==="script"||parent.tagName==="style")?node2.value:stringifyEntities(node2.value,Object.assign({},state2.settings.characterReferences,{subset:textEntitySubset}))}function raw(node2,index2,parent,state2){return state2.settings.allowDangerousHtml?node2.value:text(node2,index2,parent,state2)}function root$r(node2,_12,_22,state2){
+return state2.all(node2)}const handle=zwitch("type",{invalid,unknown,handlers:{comment,doctype,element,raw,root:root$r,text}});function invalid(node2){throw new Error("Expected node, not `"+node2+"`")}function unknown(node_){const node2=node_;throw new Error("Cannot compile unknown node `"+node2.type+"`")}const emptyOptions={},emptyCharacterReferences={},emptyChildren=[];function toHtml(tree,options){const options_=options||emptyOptions,quote=options_.quote||'"',alternative=quote==='"'?"'":'"';if(quote!==
+'"'&&quote!=="'")throw new Error("Invalid quote `"+quote+"`, expected `'` or `\"`");return{one,all,settings:{omitOptionalTags:options_.omitOptionalTags||!1,allowParseErrors:options_.allowParseErrors||!1,allowDangerousCharacters:options_.allowDangerousCharacters||!1,quoteSmart:options_.quoteSmart||!1,preferUnquoted:options_.preferUnquoted||!1,tightAttributes:options_.tightAttributes||!1,upperDoctype:options_.upperDoctype||!1,tightDoctype:options_.tightDoctype||!1,bogusComments:options_.bogusComments||
+!1,tightCommaSeparatedLists:options_.tightCommaSeparatedLists||!1,tightSelfClosing:options_.tightSelfClosing||!1,collapseEmptyAttributes:options_.collapseEmptyAttributes||!1,allowDangerousHtml:options_.allowDangerousHtml||!1,voids:options_.voids||htmlVoidElements,characterReferences:options_.characterReferences||emptyCharacterReferences,closeSelfClosing:options_.closeSelfClosing||!1,closeEmptyElements:options_.closeEmptyElements||!1},schema:options_.space==="svg"?svg:html$2,quote,alternative}.one(
+Array.isArray(tree)?{type:"root",children:tree}:tree,void 0,void 0)}function one(node2,index2,parent){return handle(node2,index2,parent,this)}function all(parent){const results=[],children=parent&&parent.children||emptyChildren;let index2=-1;for(;++index2<children.length;)results[index2]=this.one(children[index2],index2,parent);return results.join("")}function rehypeStringify(options){const self2=this,settings={...self2.data("settings"),...options};self2.compiler=compiler2;function compiler2(tree){
+return toHtml(tree,settings)}}function expandBrTags(value){const matches2=[...value.matchAll(BR_PATTERN)];if(!matches2.length)return[{type:"text",value}];const result=[];let cursor=0;for(const m of matches2)m.index>cursor&&result.push({type:"text",value:value.slice(cursor,m.index)}),result.push({type:"element",tagName:"br",properties:{},children:[]}),cursor=m.index+m[0].length;return cursor<value.length&&result.push({type:"text",value:value.slice(cursor)}),result}function parseList(value){const match=value.
+trim().match(LIST_PATTERN);if(!match)return null;const body2=match[1],items2=[];let cursor=0;for(const liMatch of body2.matchAll(LI_PATTERN)){if(body2.slice(cursor,liMatch.index).trim())return null;items2.push({type:"element",tagName:"li",properties:{},children:expandBrTags(liMatch[1]??"")}),cursor=liMatch.index+liMatch[0].length}return!items2.length||body2.slice(cursor).trim()?null:{type:"element",tagName:"ul",properties:{},children:items2}}function processCell(cell2){visitParents(cell2,"text",
+(textNode,ancestors)=>{const parent=ancestors[ancestors.length-1];if(!parent||parent.type!=="element")return;const siblings2=parent.children,startIndex=siblings2.indexOf(textNode);if(startIndex===-1)return;let combined="",endIndex=startIndex;for(let i=startIndex;i<siblings2.length;i++){const sib=siblings2[i];if(sib.type==="text")combined+=sib.value,endIndex=i;else if(sib.type==="element"&&sib.tagName==="br")combined+=`
+`,endIndex=i;else break}const list2=parseList(combined);if(list2){siblings2.splice(startIndex,endIndex-startIndex+1,list2);return}const expanded=expandBrTags(textNode.value);(expanded.length!==1||expanded[0]!==textNode)&&siblings2.splice(startIndex,1,...expanded)})}const rehypeRestoreTableHtml=()=>tree=>{visit(tree,"element",node2=>{(node2.tagName==="td"||node2.tagName==="th")&&processCell(node2)})},rehypeEnhanceLinks=()=>tree=>{visit(tree,"element",node2=>{if(node2.tagName!=="a")return;const props=node2.
+properties??{};props.href&&(props.target="_blank",props.rel="noopener noreferrer",node2.properties=props)})},COPY_ICON_SVG='<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-copy-icon lucide-copy"><rect width="14" height="14" x="8" y="8" rx="2" ry="2"/><path d="M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2"/></svg>',PREVIEW_ICON_SVG='<s\
+vg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-eye lucide-eye-icon"><path d="M2.062 12.345a1 1 0 0 1 0-.69C3.5 7.73 7.36 5 12 5s8.5 2.73 9.938 6.655a1 1 0 0 1 0 .69C20.5 16.27 16.64 19 12 19s-8.5-2.73-9.938-6.655"/><circle cx="12" cy="12" r="3"/></svg>';function createRawHtmlElement(html2){return{type:"element",tagName:"span",properties:{},children:[
+{type:"raw",value:html2}]}}function createCopyButton(codeId){return{type:"element",tagName:"button",properties:{className:[COPY_CODE_BTN_CLASS],"data-code-id":codeId,title:"Copy code",type:"button"},children:[createRawHtmlElement(COPY_ICON_SVG)]}}function createPreviewButton(codeId){return{type:"element",tagName:"button",properties:{className:[PREVIEW_CODE_BTN_CLASS],"data-code-id":codeId,title:"Preview code",type:"button"},children:[createRawHtmlElement(PREVIEW_ICON_SVG)]}}function createHeader(language2,codeId){
+const actions=[createCopyButton(codeId)];return language2.toLowerCase()==="html"&&actions.push(createPreviewButton(codeId)),{type:"element",tagName:"div",properties:{className:[CODE_BLOCK_HEADER_CLASS]},children:[{type:"element",tagName:"span",properties:{className:[CODE_LANGUAGE_CLASS]},children:[{type:"text",value:language2}]},{type:"element",tagName:"div",properties:{className:[CODE_BLOCK_ACTIONS_CLASS]},children:actions}]}}function createScrollContainer(preElement){return{type:"element",tagName:"\
+div",properties:{className:[CODE_BLOCK_SCROLL_CONTAINER_CLASS]},children:[preElement]}}function createWrapper(header,preElement){return{type:"element",tagName:"div",properties:{className:[CODE_BLOCK_WRAPPER_CLASS,RELATIVE_CLASS]},children:[header,createScrollContainer(preElement)]}}function extractLanguage(codeElement){const className=codeElement.properties?.className;if(!Array.isArray(className))return"text";for(const cls of className)if(typeof cls=="string"&&cls.startsWith("language-"))return cls.
+replace("language-","");return"text"}function generateCodeId(){return typeof window<"u"?`code-${window.idxCodeBlock=(window.idxCodeBlock??0)+1}`:`code-${Date.now()}-${Math.random().toString(36).slice(2,7)}`}const rehypeEnhanceCodeBlocks=()=>tree=>{visit(tree,"element",(node2,index2,parent)=>{if(node2.tagName!=="pre"||!parent||index2===void 0)return;const codeElement=node2.children.find(child2=>child2.type==="element"&&child2.tagName==="code");if(!codeElement)return;const language2=extractLanguage(
+codeElement),codeId=generateCodeId();codeElement.properties={...codeElement.properties,"data-code-id":codeId};const header=createHeader(language2,codeId),wrapper=createWrapper(header,node2);parent.children[index2]=wrapper})};function rehypeResolveAttachmentImages(options){return tree=>{visit(tree,"element",node2=>{if(node2.tagName==="img"&&node2.properties?.src){const src=String(node2.properties.src);if(src.startsWith(UrlProtocol.DATA)||src.startsWith(UrlProtocol.HTTP))return;const attachment=options.
+attachments?.find(a=>a.type===AttachmentType.IMAGE&&a.name===src);attachment?.base64Url&&(node2.properties.src=attachment.base64Url)}})}}const rehypeRtlSupport=()=>tree=>{visit(tree,"element",node2=>{node2.children&&node2.children.length>0&&(node2.properties={...node2.properties,dir:"auto"})})};function preserveIndent(line){let index2=0,output="";for(;index2<line.length;){const char=line[index2];if(char===" "){output+=NBSP,index2+=1;continue}if(char==="	"){output+=TAB_AS_SPACES,index2+=1;continue}
+break}return output+line.slice(index2)}function createLiteralChildren(value){const lines=value.split(LINE_BREAK),nodes2=[];for(const[lineIndex,rawLine]of lines.entries())lineIndex>0&&nodes2.push({type:"break"}),nodes2.push({type:"text",value:preserveIndent(rawLine)});return nodes2.length||nodes2.push({type:"text",value:""}),nodes2}const remarkLiteralHtml=()=>tree=>{visit(tree,"html",(node2,index2,parent)=>{if(!parent||typeof index2!="number")return;const replacement=createLiteralChildren(node2.value);
+if(!PHRASE_PARENTS.has(parent.type)){const paragraph2={type:"paragraph",children:replacement,data:{literalHtml:!0}},siblings2=parent.children;if(siblings2.splice(index2,1,paragraph2),index2>0){const previous2=siblings2[index2-1];if(previous2?.type==="paragraph"&&previous2.data?.literalHtml){const prevChildren=previous2.children;return prevChildren.length&&prevChildren[prevChildren.length-1].type!=="break"&&prevChildren.push({type:"break"}),prevChildren.push(...paragraph2.children),siblings2.splice(
+index2,1),index2}}return index2+1}return parent.children.splice(index2,1,...replacement),index2+replacement.length})},githubDarkCss="pre code.hljs{display:block;overflow-x:auto;padding:1em}code.hljs{padding:3px 5px}.hljs{color:#c9d1d9;background:#0d1117}.hljs-doctag,.hljs-keyword,.hljs-meta .hljs-keyword,.hljs-template-tag,.hljs-template-variable,.hljs-type,.hljs-variable.language_{color:#ff7b72}.hljs-title,.hljs-title.class_,.hljs-title.class_.inherited__,.hljs-title.function_{color:#d2a8ff}.hl\
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+node2]},transformedRoot=await processorInstance.run(singleNodeRoot),html2=processorInstance.stringify(transformedRoot);return transformCache.set(hash2,html2),{html:html2,hash:hash2}}async function handleCopyClick(event2){event2.preventDefault(),event2.stopPropagation();const target2=event2.currentTarget;if(!target2)return;const info2=getCodeInfoFromTarget(target2);if(info2)try{await copyCodeToClipboard(info2.rawCode)}catch(error2){console.error("Failed to copy code:",error2)}}function handlePreviewDialogOpenChange(open2){
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+name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return`Enter ${$$props.name??""}`},autocomplete:"off"});var node_3=sibling(node_2,2);{var consequent_1=$$anchor2=>{var div_1=root_3$f();each(div_1,22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_4$7();button.__mousedown=()=>$$props.
+onSelectSuggestion(suggestion);var text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$4(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),append($$anchor3,button)}),reset(div_1),transition(3,div_1,()=>fly,()=>({y:-5,duration:100})),append($$anchor2,div_1)};if_block(node_3,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_1)})}reset(div),append($$anchor,div),pop()}
+delegate(["mousedown"]);var root_2$i=from_html('<span class="text-muted-foreground">(optional)</span>'),root_1$e=from_html('<span class="text-xs font-medium"> <!></span>'),root_4$6=from_html('<div class="flex items-start gap-2"><!> <textarea class="flex-1 resize-none rounded-md border border-input bg-transparent px-3 py-2 text-sm leading-5 placeholder:text-muted-foreground focus-visible:ring-1 focus-visible:ring-ring focus-visible:outline-none" rows="1"></textarea> <button type="button" class="m\
+t-1.5 shrink-0 cursor-pointer rounded-md p-1 text-muted-foreground hover:bg-destructive/10 hover:text-destructive" aria-label="Remove item"><!></button></div>'),root_3$e=from_html('<div class="space-y-3"></div>'),root_5$b=from_html('<p class="text-xs text-muted-foreground"> </p>'),root$n=from_html('<div><div class="mb-2 flex items-center justify-between"><!> <button type="button" class="inline-flex cursor-pointer items-center gap-1 rounded-md px-1.5 py-1 text-xs text-muted-foreground hover:bg-mu\
+ted hover:text-foreground"><!> </button></div> <!></div>');function KeyValuePairs($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),keyPlaceholder=prop($$props,"keyPlaceholder",3,"Key"),valuePlaceholder=prop($$props,"valuePlaceholder",3,"Value"),addButtonLabel=prop($$props,"addButtonLabel",3,"Add"),emptyMessage=prop($$props,"emptyMessage",3,"No items configured."),sectionLabelOptional=prop($$props,"sectionLabelOptional",3,!0);function addPair(){$$props.onPairsChange([
+...$$props.pairs,{key:"",value:""}])}function removePair(index2){$$props.onPairsChange($$props.pairs.filter((_,i)=>i!==index2))}function updatePairKey(index2,rawKey){const key2=sanitizeKeyValuePairKey(rawKey),newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],key:key2},$$props.onPairsChange(newPairs)}function trimPairKey(index2,key2){const trimmed=key2.trim();if(trimmed===key2)return;const newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],key:trimmed},$$props.onPairsChange(
+newPairs)}function updatePairValue(index2,rawValue){const value=sanitizeKeyValuePairValue(rawValue),newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],value},$$props.onPairsChange(newPairs)}function trimPairValue(index2,value){const trimmed=value.trim();if(trimmed===value)return;const newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],value:trimmed},$$props.onPairsChange(newPairs)}var div=root$n(),div_1=child(div),node2=child(div_1);{var consequent_1=$$anchor2=>{var span=root_1$e(),
+text2=child(span),node_1=sibling(text2);{var consequent=$$anchor3=>{var span_1=root_2$i();append($$anchor3,span_1)};if_block(node_1,$$render=>{sectionLabelOptional()&&$$render(consequent)})}reset(span),template_effect(()=>set_text(text2,`${$$props.sectionLabel??""} `)),append($$anchor2,span)};if_block(node2,$$render=>{$$props.sectionLabel&&$$render(consequent_1)})}var button=sibling(node2,2);button.__click=addPair;var node_2=child(button);Plus(node_2,{class:"h-3 w-3"});var text_1=sibling(node_2);
+reset(button),reset(div_1);var node_3=sibling(div_1,2);{var consequent_2=$$anchor2=>{var div_2=root_3$e();each(div_2,21,()=>$$props.pairs,index$2,($$anchor3,pair,index2)=>{var div_3=root_4$6(),node_4=child(div_3);Input(node_4,{type:"text",get placeholder(){return keyPlaceholder()},get value(){return get$4(pair).key},get maxlength(){return KEY_VALUE_PAIR_KEY_MAX_LENGTH},oninput:e=>updatePairKey(index2,e.currentTarget.value),onblur:e=>trimPairKey(index2,e.currentTarget.value),class:"flex-1"});var textarea=sibling(
+node_4,2);remove_textarea_child(textarea),textarea.__input=e=>{updatePairValue(index2,e.currentTarget.value),autoResizeTextarea(e.currentTarget)},action(textarea,$$node=>autoResizeTextarea?.($$node));var button_1=sibling(textarea,2);button_1.__click=()=>removePair(index2);var node_5=child(button_1);Trash_2(node_5,{class:"h-3.5 w-3.5"}),reset(button_1),reset(div_3),template_effect(()=>{set_attribute(textarea,"placeholder",valuePlaceholder()),set_value(textarea,get$4(pair).value),set_attribute(textarea,
+"maxlength",KEY_VALUE_PAIR_VALUE_MAX_LENGTH)}),event("blur",textarea,e=>trimPairValue(index2,e.currentTarget.value)),append($$anchor3,div_3)}),reset(div_2),append($$anchor2,div_2)},alternate=$$anchor2=>{var p2=root_5$b(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,emptyMessage())),append($$anchor2,p2)};if_block(node_3,$$render=>{$$props.pairs.length>0?$$render(consequent_2):$$render(alternate,!1)})}reset(div),template_effect(()=>{set_class(div,1,clsx(className())),set_text(
+text_1,` ${addButtonLabel()??""}`)}),append($$anchor,div),pop()}delegate(["click","input"]);var root_1$d=from_html('<button type="button" class="absolute top-1/2 right-3 -translate-y-1/2 transform text-muted-foreground transition-colors hover:text-foreground"><!></button>'),root$m=from_html("<div><!> <!> <!></div>");function SearchInput($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15,""),placeholder=prop($$props,"placeholder",3,"Search..."),ref2=prop($$props,"ref",15,null),
+showClearButton=user_derived(()=>!!value()||!!$$props.onClose);function handleInput(event2){const target2=event2.target;value(target2.value),$$props.onInput?.(target2.value)}function handleClear(){value()?(value(""),$$props.onInput?.(""),ref2()?.focus()):$$props.onClose?.()}var div=root$m(),node2=child(div);Search(node2,{class:"absolute top-1/2 left-3 z-10 h-4 w-4 -translate-y-1/2 transform text-muted-foreground"});var node_1=sibling(node2,2);{let $0=user_derived(()=>get$4(showClearButton)?"pr-9":
+"");Input(node_1,{get id(){return $$props.id},get class(){return`pl-9 ${get$4($0)??""}`},oninput:handleInput,get onkeydown(){return $$props.onKeyDown},get placeholder(){return placeholder()},type:"search",get value(){return value()},set value($$value){value($$value)},get ref(){return ref2()},set ref($$value){ref2($$value)}})}var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var button=root_1$d();button.__click=handleClear;var node_3=child(button);X(node_3,{class:"h-4 w-4"}),reset(button),
+template_effect(()=>set_attribute(button,"aria-label",value()?"Clear search":"Close")),append($$anchor2,button)};if_block(node_2,$$render=>{get$4(showClearButton)&&$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,`relative ${$$props.class??""}`)),append($$anchor,div),pop()}delegate(["click"]);var root_2$h=from_html("<!> Add New Server",1),root_4$5=from_html('<div class="space-y-4"><p class="font-medium">Add New Server</p> <!> <div class="flex items-center justify-end gap-2">\
+<!> <!></div></div>'),root_7$a=from_html('<div class="rounded-md border border-dashed p-4 text-sm text-muted-foreground">No MCP Servers configured yet. Add one to enable agentic features.</div>'),root_8$8=from_html('<div class="space-y-3"></div>'),root$l=from_html('<div class="space-y-5 md:space-y-4"><div class="flex items-start justify-between gap-4"><div><h4 class="text-base font-semibold">Manage Servers</h4></div> <!></div> <!> <!> <!></div>');function McpServersSettings($$anchor,$$props){push$1(
+$$props,!0);let servers=user_derived(()=>mcpStore.getServersSorted()),initialLoadComplete=state$1(!1);user_effect(()=>{if(get$4(initialLoadComplete))return;get$4(servers).length>0&&get$4(servers).every(server=>{const state2=mcpStore.getHealthCheckState(server.id);return state2.status===HealthCheckStatus.SUCCESS||state2.status===HealthCheckStatus.ERROR})&&set$1(initialLoadComplete,!0)});let isAddingServer=state$1(!1),newServerUrl=state$1(""),newServerHeaders=state$1(""),newServerUrlError=user_derived(
+()=>{if(!get$4(newServerUrl).trim())return"URL is required";try{return new URL(get$4(newServerUrl)),null}catch{return"Invalid URL format"}});function showAddServerForm(){set$1(isAddingServer,!0),set$1(newServerUrl,""),set$1(newServerHeaders,"")}function cancelAddServer(){set$1(isAddingServer,!1),set$1(newServerUrl,""),set$1(newServerHeaders,"")}function saveNewServer(){if(get$4(newServerUrlError))return;const newServerId=uuid$1()??`${MCP_SERVER_ID_PREFIX}-${Date.now()}`;mcpStore.addServer({id:newServerId,
+enabled:!0,url:get$4(newServerUrl).trim(),headers:get$4(newServerHeaders).trim()||void 0}),conversationsStore.setMcpServerOverride(newServerId,!0),set$1(isAddingServer,!1),set$1(newServerUrl,""),set$1(newServerHeaders,"")}var div=root$l(),div_1=child(div),node2=sibling(child(div_1),2);{var consequent=$$anchor2=>{Button($$anchor2,{variant:"outline",size:"sm",class:"shrink-0",onclick:showAddServerForm,children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$h(),node_1=first_child(fragment_1);Plus(
+node_1,{class:"h-4 w-4"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})};if_block(node2,$$render=>{get$4(isAddingServer)||$$render(consequent)})}reset(div_1);var node_2=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);component(node_3,()=>Card,($$anchor3,Card_Root)=>{Card_Root($$anchor3,{class:"bg-muted/30 p-4",children:($$anchor4,$$slotProps)=>{var div_2=root_4$5(),node_4=sibling(child(div_2),2);{let $0=user_derived(()=>get$4(
+newServerUrl)?get$4(newServerUrlError):null);McpServerForm(node_4,{get url(){return get$4(newServerUrl)},get headers(){return get$4(newServerHeaders)},onUrlChange:v=>set$1(newServerUrl,v,!0),onHeadersChange:v=>set$1(newServerHeaders,v,!0),get urlError(){return get$4($0)},id:"new-server"})}var div_3=sibling(node_4,2),node_5=child(div_3);Button(node_5,{variant:"secondary",size:"sm",onclick:cancelAddServer,children:($$anchor5,$$slotProps2)=>{next$1();var text2=text$8("Cancel");append($$anchor5,text2)},
+$$slots:{default:!0}});var node_6=sibling(node_5,2);{let $0=user_derived(()=>!!get$4(newServerUrlError));Button(node_6,{variant:"default",size:"sm",onclick:saveNewServer,get disabled(){return get$4($0)},"aria-label":"Save",children:($$anchor5,$$slotProps2)=>{next$1();var text_1=text$8("Add");append($$anchor5,text_1)},$$slots:{default:!0}})}reset(div_3),reset(div_2),append($$anchor4,div_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_2)};if_block(node_2,$$render=>{get$4(isAddingServer)&&$$render(
+consequent_1)})}var node_7=sibling(node_2,2);{var consequent_2=$$anchor2=>{var div_4=root_7$a();append($$anchor2,div_4)};if_block(node_7,$$render=>{get$4(servers).length===0&&!get$4(isAddingServer)&&$$render(consequent_2)})}var node_8=sibling(node_7,2);{var consequent_4=$$anchor2=>{var div_5=root_8$8();each(div_5,21,()=>get$4(servers),server=>server.id,($$anchor3,server)=>{var fragment_3=comment$2(),node_9=first_child(fragment_3);{var consequent_3=$$anchor4=>{McpServerCardSkeleton($$anchor4)},alternate=$$anchor4=>{
+{let $0=user_derived(()=>mcpStore.getServerFavicon(get$4(server).id)),$1=user_derived(()=>conversationsStore.isMcpServerEnabledForChat(get$4(server).id));McpServerCard($$anchor4,{get server(){return get$4(server)},get faviconUrl(){return get$4($0)},get enabled(){return get$4($1)},onToggle:async()=>await conversationsStore.toggleMcpServerForChat(get$4(server).id),onUpdate:updates=>mcpStore.updateServer(get$4(server).id,updates),onDelete:()=>mcpStore.removeServer(get$4(server).id)})}};if_block(node_9,
+$$render=>{get$4(initialLoadComplete)?$$render(alternate,!1):$$render(consequent_3)})}append($$anchor3,fragment_3)}),reset(div_5),append($$anchor2,div_5)};if_block(node_8,$$render=>{get$4(servers).length>0&&$$render(consequent_4)})}reset(div),append($$anchor,div),pop()}var root_2$g=from_html('<div class="box-shadow-lg overflow-hidden rounded-full bg-muted ring-1 ring-muted"><img alt="" class="h-4 w-4"/></div>'),root_3$d=from_html('<span class="text-xs text-muted-foreground"> </span>'),root_1$c=from_html(
+'<div><div class="flex -space-x-1"></div> <!></div>');function McpActiveServersAvatars($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),mcpServers=user_derived(()=>mcpStore.getServersSorted().filter(s2=>s2.enabled)),enabledMcpServersForChat=user_derived(()=>get$4(mcpServers).filter(s2=>conversationsStore.isMcpServerEnabledForChat(s2.id)&&s2.url.trim())),healthyEnabledMcpServers=user_derived(()=>get$4(enabledMcpServersForChat).filter(s2=>mcpStore.getHealthCheckState(s2.
+id).status!==HealthCheckStatus.ERROR)),hasEnabledMcpServers=user_derived(()=>get$4(enabledMcpServersForChat).length>0),extraServersCount=user_derived(()=>Math.max(0,get$4(healthyEnabledMcpServers).length-MAX_DISPLAYED_MCP_AVATARS)),mcpFavicons=user_derived(()=>get$4(healthyEnabledMcpServers).slice(0,MAX_DISPLAYED_MCP_AVATARS).map(s2=>({id:s2.id,url:mcpStore.getServerFavicon(s2.id)})).filter(f=>f.url!==null));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var div=root_1$c(),
+div_1=child(div);each(div_1,21,()=>get$4(mcpFavicons),favicon=>favicon.id,($$anchor3,favicon)=>{var div_2=root_2$g(),img=child(div_2);reset(div_2),template_effect(()=>set_attribute(img,"src",get$4(favicon).url)),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor3,div_2)}),reset(div_1);var node_1=sibling(div_1,2);{var consequent=$$anchor3=>{var span=root_3$d(),text2=child(span);reset(span),template_effect(()=>set_text(text2,`+${get$4(extraServersCount)??
+""}`)),append($$anchor3,span)};if_block(node_1,$$render=>{get$4(extraServersCount)>0&&$$render(consequent)})}reset(div),template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("inline-flex items-center gap-1.5",className()))]),append($$anchor2,div)};if_block(node2,$$render=>{get$4(hasEnabledMcpServers)&&get$4(mcpFavicons).length>0&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root_3$c=from_html('<button type="button" class="inline-flex cursor-pointer items-center rounded-sm py-1 d\
+isabled:cursor-not-allowed disabled:opacity-60" aria-label="MCP Servers"><!></button>'),root_6$a=from_html("<!> <span>Manage MCP Servers</span>",1),root_9$7=from_html('<img alt="" class="h-4 w-4 shrink-0 rounded-sm"/>'),root_10$6=from_html('<span class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive">Error</span>'),root_8$7=from_html('<button type="button" class="flex w-full items-center justify-between gap-2 px-2 py-2 text-left transition-colors hover:bg-accent disabl\
+ed:cursor-not-allowed disabled:opacity-50"><div class="flex min-w-0 flex-1 items-center gap-2"><!> <span class="truncate text-sm"> </span> <!></div> <!></button>'),root_7$9=from_html('<div class="max-h-64 overflow-y-auto"></div>'),root_2$f=from_html("<!> <!>",1);function McpServersSelector($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),searchQuery=state$1(""),mcpServers=user_derived(()=>mcpStore.getServersSorted().filter(s2=>s2.
+enabled)),hasMcpServers=user_derived(()=>get$4(mcpServers).length>0),enabledMcpServersForChat=user_derived(()=>get$4(mcpServers).filter(s2=>conversationsStore.isMcpServerEnabledForChat(s2.id)&&s2.url.trim())),healthyEnabledMcpServers=user_derived(()=>get$4(enabledMcpServersForChat).filter(s2=>mcpStore.getHealthCheckState(s2.id).status!==HealthCheckStatus.ERROR)),hasEnabledMcpServers=user_derived(()=>get$4(enabledMcpServersForChat).length>0),mcpFavicons=user_derived(()=>get$4(healthyEnabledMcpServers).
+slice(0,3).map(s2=>({id:s2.id,url:mcpStore.getServerFavicon(s2.id)})).filter(f=>f.url!==null)),filteredMcpServers=user_derived(()=>{const query=get$4(searchQuery).toLowerCase().trim();return query?get$4(mcpServers).filter(s2=>{const name=getServerLabel(s2).toLowerCase(),url2=s2.url.toLowerCase();return name.includes(query)||url2.includes(query)}):get$4(mcpServers)});function getServerLabel(server){return mcpStore.getServerLabel(server)}function handleDropdownOpen(open2){open2&&mcpStore.runHealthChecksForServers(
+get$4(mcpServers))}function isServerEnabledForChat(serverId){return conversationsStore.isMcpServerEnabledForChat(serverId)}async function toggleServerForChat(serverId){await conversationsStore.toggleMcpServerForChat(serverId)}var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$2,($$anchor3,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor3,{onOpenChange:open2=>{open2||set$1(searchQuery,
+""),handleDropdownOpen(open2)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$f(),node_2=first_child(fragment_2);component(node_2,()=>Dropdown_menu_trigger,($$anchor5,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor5,{get disabled(){return disabled()},onclick:e=>{e.preventDefault(),e.stopPropagation()},children:($$anchor6,$$slotProps2)=>{var button=root_3$c(),node_3=child(button);McpActiveServersAvatars(node_3,{get class(){return className()}}),reset(button),template_effect(()=>button.
+disabled=disabled()),append($$anchor6,button)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Dropdown_menu_content,($$anchor5,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor5,{align:"start",class:"w-72 pt-0",children:($$anchor6,$$slotProps2)=>{{const footer2=$$anchor7=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);component(node_5,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor8,{class:"flex cursor-pointer items-ce\
+nter gap-2",get onclick(){return $$props.onSettingsClick},children:($$anchor9,$$slotProps3)=>{var fragment_5=root_6$a(),node_6=first_child(fragment_5);Settings$1(node_6,{class:"h-4 w-4"}),next$1(2),append($$anchor9,fragment_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_4)};let $0=user_derived(()=>get$4(filteredMcpServers).length===0);DropdownMenuSearchable($$anchor6,{placeholder:"Search servers...",emptyMessage:"No servers found",get isEmpty(){return get$4($0)},get searchValue(){return get$4(
+searchQuery)},set searchValue($$value){set$1(searchQuery,$$value,!0)},footer:footer2,children:($$anchor7,$$slotProps3)=>{var div=root_7$9();each(div,21,()=>get$4(filteredMcpServers),server=>server.id,($$anchor8,server)=>{const healthState=user_derived(()=>mcpStore.getHealthCheckState(get$4(server).id)),hasError=user_derived(()=>get$4(healthState).status===HealthCheckStatus.ERROR),isEnabledForChat=user_derived(()=>isServerEnabledForChat(get$4(server).id));var button_1=root_8$7();button_1.__click=
+()=>!get$4(hasError)&&toggleServerForChat(get$4(server).id);var div_1=child(button_1),node_7=child(div_1);{var consequent=$$anchor9=>{var img=root_9$7();template_effect($02=>set_attribute(img,"src",$02),[()=>mcpStore.getServerFavicon(get$4(server).id)]),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor9,img)};if_block(node_7,$$render=>{mcpStore.getServerFavicon(get$4(server).id)&&$$render(consequent)})}var span=sibling(node_7,2),text2=child(span,!0);
+reset(span);var node_8=sibling(span,2);{var consequent_1=$$anchor9=>{var span_1=root_10$6();append($$anchor9,span_1)};if_block(node_8,$$render=>{get$4(hasError)&&$$render(consequent_1)})}reset(div_1);var node_9=sibling(div_1,2);Switch(node_9,{get checked(){return get$4(isEnabledForChat)},get disabled(){return get$4(hasError)},onclick:e=>e.stopPropagation(),onCheckedChange:()=>toggleServerForChat(get$4(server).id)}),reset(button_1),template_effect($02=>{button_1.disabled=get$4(hasError),set_text(
+text2,$02)},[()=>getServerLabel(get$4(server))]),append($$anchor8,button_1)}),reset(div),append($$anchor7,div)},$$slots:{footer:!0,default:!0}})}},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{get$4(hasMcpServers)&&get$4(hasEnabledMcpServers)&&get$4(mcpFavicons).length>0&&$$render(consequent_2)})}append($$anchor,fragment),pop()}delegate(["click"]);var root_3$b=from_html("<!> Tools",1),root_5$a=from_html("<!\
+> Resources",1),root_7$8=from_html("<!> Prompts",1),root_9$6=from_html("<!> Logging",1),root_11$3=from_html("<!> Completions",1),root_13$6=from_html("<!> Tasks",1),root_1$b=from_html("<!> <!> <!> <!> <!> <!>",1);function McpCapabilitiesBadges($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent_6=$$anchor2=>{var fragment_1=root_1$b(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 \
+bg-green-50 px-1.5 text-[10px] dark:bg-green-950",children:($$anchor4,$$slotProps)=>{var fragment_3=root_3$b(),node_2=first_child(fragment_3);Wrench(node_2,{class:"h-3 w-3 text-green-600 dark:text-green-400"}),next$1(),append($$anchor4,fragment_3)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.capabilities.server.tools&&$$render(consequent)})}var node_3=sibling(node_1,2);{var consequent_1=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-blue-50 px-1.5 text-[10px] d\
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+{class:"h-3 w-3 text-pink-600 dark:text-pink-400"}),next$1(),append($$anchor4,fragment_13)},$$slots:{default:!0}})};if_block(node_11,$$render=>{$$props.capabilities.server.tasks&&$$render(consequent_5)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.capabilities&&$$render(consequent_6)})}append($$anchor,fragment),pop()}var root_6$9=from_html('<span class="ml-1"> </span>'),root_3$a=from_html("<!> <span> </span> <!>",1),root_9$5=from_html('<details class="ml-11"><summary class="c\
+ursor-pointer text-[10px] text-muted-foreground">details</summary> <pre class="mt-1 overflow-x-auto rounded bg-background/70 p-2 text-[10px] break-all whitespace-pre-wrap text-foreground/80"> </pre></details>'),root_8$6=from_html('<div><span class="shrink-0 text-muted-foreground"> </span> <!> <span class="break-all"> </span></div> <!>',1),root_7$7=from_html('<div class="max-h-64 space-y-0.5 overflow-y-auto rounded bg-muted/50 p-2 font-mono text-[10px]"></div>'),root_2$e=from_html('<div class="sp\
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+nd/60">(Run <pre>llama-server</pre> with <pre>--webui-mcp-proxy</pre> flag)</span>'),root_2$d=from_html('<label><!> <span><span class="text-xs text-muted-foreground">Use llama-server proxy</span> <br/> <!></span></label>'),root$k=from_html('<div class="grid gap-3"><div><label class="mb-2 block text-xs font-medium">Server URL <span class="text-destructive">*</span></label> <!> <!> <!></div> <!></div>');function McpServerForm($$anchor,$$props){push$1($$props,!0);let useProxy=prop($$props,"useProxy",
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+node_2,{get displayName(){return get$4(displayName)},get faviconUrl(){return $$props.faviconUrl},get enabled(){return get$4($0)},get disabled(){return get$4(isError)},get onToggle(){return $$props.onToggle},get serverInfo(){return get$4(serverInfo)},get capabilities(){return get$4(capabilities)},get transportType(){return get$4(transportType)}})}var node_3=sibling(node_2,2);{var consequent_1=$$anchor5=>{var p2=root_4$4(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,get$4(errorMessage))),
+append($$anchor5,p2)};if_block(node_3,$$render=>{get$4(isError)&&get$4(errorMessage)&&$$render(consequent_1)})}var node_4=sibling(node_3,2);{var consequent_2=$$anchor5=>{var p_1=root_5$9(),text_1=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_1,get$4(serverInfo).description)),append($$anchor5,p_1)};if_block(node_4,$$render=>{get$4(isConnected)&&get$4(serverInfo)?.description&&$$render(consequent_2)})}var div=sibling(node_4,2),node_5=child(div);{var consequent_3=$$anchor5=>{var fragment_4=root_6$8(),
+div_1=first_child(fragment_4),div_2=child(div_1),node_6=child(div_2);Skeleton(node_6,{class:"h-4 w-4 rounded"});var node_7=sibling(node_6,2);Skeleton(node_7,{class:"h-3 w-24"}),reset(div_2);var div_3=sibling(div_2,2),node_8=child(div_3);Skeleton(node_8,{class:"h-5 w-16 rounded-full"});var node_9=sibling(node_8,2);Skeleton(node_9,{class:"h-5 w-20 rounded-full"});var node_10=sibling(node_9,2);Skeleton(node_10,{class:"h-5 w-14 rounded-full"}),reset(div_3),reset(div_1);var div_4=sibling(div_1,2),div_5=child(
+div_4),node_11=child(div_5);Skeleton(node_11,{class:"h-4 w-4 rounded"});var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-3 w-32"}),reset(div_5),reset(div_4),append($$anchor5,fragment_4)},alternate=$$anchor5=>{var fragment_5=root_7$6(),node_13=first_child(fragment_5);{var consequent_4=$$anchor6=>{McpServerInfo($$anchor6,{get instructions(){return get$4(instructions)}})};if_block(node_13,$$render=>{get$4(isConnected)&&get$4(instructions)&&$$render(consequent_4)})}var node_14=sibling(node_13,
+2);{var consequent_5=$$anchor6=>{McpServerCardToolsList($$anchor6,{get tools(){return get$4(tools)}})};if_block(node_14,$$render=>{get$4(tools).length>0&&$$render(consequent_5)})}var node_15=sibling(node_14,2);{var consequent_6=$$anchor6=>{McpConnectionLogs($$anchor6,{get logs(){return get$4(connectionLogs)},get connectionTimeMs(){return get$4(connectionTimeMs)}})};if_block(node_15,$$render=>{get$4(connectionLogs).length>0&&$$render(consequent_6)})}append($$anchor5,fragment_5)};if_block(node_5,$$render=>{
+get$4(showSkeleton)?$$render(consequent_3):$$render(alternate,!1)})}reset(div);var div_6=sibling(div,2),node_16=child(div_6);{var consequent_7=$$anchor5=>{Skeleton($$anchor5,{class:"h-3 w-28"})},alternate_1=$$anchor5=>{var fragment_10=comment$2(),node_17=first_child(fragment_10);{var consequent_8=$$anchor6=>{var div_7=root_13$5(),span=child(div_7),text_2=child(span);reset(span),reset(div_7),template_effect(()=>set_text(text_2,`Protocol version: ${get$4(protocolVersion)??""}`)),append($$anchor6,div_7)};
+if_block(node_17,$$render=>{get$4(protocolVersion)&&$$render(consequent_8)},!0)}append($$anchor5,fragment_10)};if_block(node_16,$$render=>{get$4(showSkeleton)?$$render(consequent_7):$$render(alternate_1,!1)})}var node_18=sibling(node_16,2);McpServerCardActions(node_18,{get isHealthChecking(){return get$4(isHealthChecking)},onEdit:startEditing,onRefresh:handleHealthCheck,onDelete:handleDeleteClick}),reset(div_6),append($$anchor4,fragment_3)};if_block(node_1,$$render=>{get$4(isEditing2)?$$render(consequent):
+$$render(alternate_2,!1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})});var node_19=sibling(node2,2);McpServerCardDeleteDialog(node_19,{get displayName(){return get$4(displayName)},onOpenChange:open2=>set$1(showDeleteDialog,open2,!0),get onConfirm(){return $$props.onDelete},get open(){return get$4(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_1$9=from_html('<img alt="" class="h-5 w-5 shrink-0 rounded"/>'),root_2$c=from_html(
+'<div class="flex h-5 w-5 shrink-0 items-center justify-center rounded bg-muted"><!></div>'),root_5$8=from_html('<a target="_blank" rel="noopener noreferrer" class="shrink-0 text-muted-foreground hover:text-foreground" aria-label="Open website"><!></a>'),root_8$5=from_html("<!> ",1),root_6$7=from_html('<div class="flex flex-wrap items-center gap-1"><!> <!></div>'),root$h=from_html('<div class="space-y-3"><div class="flex items-start justify-between gap-3"><div class="grid min-w-0 gap-3"><div cla\
+ss="flex items-center gap-2 overflow-hidden"><!> <p class="min-w-0 shrink-0 truncate leading-none font-medium"> </p> <!> <!></div> <!></div> <div class="flex shrink-0 items-center pl-2"><!></div></div></div>');function McpServerCardHeader($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1);var div=root$h(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);{var consequent=$$anchor2=>{var img=root_1$9();template_effect(()=>set_attribute(img,"src",
+$$props.faviconUrl)),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)},alternate=$$anchor2=>{var div_4=root_2$c(),node_1=child(div_4);Cable(node_1,{class:"h-3 w-3 text-muted-foreground"}),reset(div_4),append($$anchor2,div_4)};if_block(node2,$$render=>{$$props.faviconUrl?$$render(consequent):$$render(alternate,!1)})}var p2=sibling(node2,2),text2=child(p2,!0);reset(p2);var node_2=sibling(p2,2);{var consequent_1=$$anchor2=>{Badge($$anchor2,{variant:"\
+secondary",class:"h-4 min-w-0 truncate px-1 text-[10px]",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,`v${$$props.serverInfo.version??""}`)),append($$anchor3,text_1)},$$slots:{default:!0}})};if_block(node_2,$$render=>{$$props.serverInfo?.version&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{var a=root_5$8(),node_4=child(a);External_link(node_4,{class:"h-3 w-3"}),reset(a),template_effect(()=>set_attribute(
+a,"href",$$props.serverInfo.websiteUrl)),append($$anchor2,a)};if_block(node_3,$$render=>{$$props.serverInfo?.websiteUrl&&$$render(consequent_2)})}reset(div_3);var node_5=sibling(div_3,2);{var consequent_6=$$anchor2=>{var div_5=root_6$7(),node_6=child(div_5);{var consequent_4=$$anchor3=>{const TransportIcon=user_derived(()=>MCP_TRANSPORT_ICONS[$$props.transportType]);Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 px-1.5 text-[10px]",children:($$anchor4,$$slotProps)=>{var fragment_3=root_8$5(),
+node_7=first_child(fragment_3);{var consequent_3=$$anchor5=>{var fragment_4=comment$2(),node_8=first_child(fragment_4);component(node_8,()=>get$4(TransportIcon),($$anchor6,TransportIcon_1)=>{TransportIcon_1($$anchor6,{class:"h-3 w-3"})}),append($$anchor5,fragment_4)};if_block(node_7,$$render=>{get$4(TransportIcon)&&$$render(consequent_3)})}var text_2=sibling(node_7);template_effect(()=>set_text(text_2,` ${(MCP_TRANSPORT_LABELS[$$props.transportType]||$$props.transportType)??""}`)),append($$anchor4,
+fragment_3)},$$slots:{default:!0}})};if_block(node_6,$$render=>{$$props.transportType&&$$render(consequent_4)})}var node_9=sibling(node_6,2);{var consequent_5=$$anchor3=>{McpCapabilitiesBadges($$anchor3,{get capabilities(){return $$props.capabilities}})};if_block(node_9,$$render=>{$$props.capabilities&&$$render(consequent_5)})}reset(div_5),append($$anchor2,div_5)};if_block(node_5,$$render=>{($$props.capabilities||$$props.transportType)&&$$render(consequent_6)})}reset(div_2);var div_6=sibling(div_2,
+2),node_10=child(div_6);Switch(node_10,{get checked(){return $$props.enabled},get disabled(){return disabled()},get onCheckedChange(){return $$props.onToggle}}),reset(div_6),reset(div_1),reset(div),template_effect(()=>set_text(text2,$$props.displayName)),append($$anchor,div),pop()}var root$g=from_html('<div class="flex shrink-0 items-center gap-1"><!> <!> <!></div>');function McpServerCardActions($$anchor,$$props){var div=root$g(),node2=child(div);Button(node2,{variant:"ghost",size:"icon",class:"\
+h-7 w-7",get onclick(){return $$props.onEdit},"aria-label":"Edit",children:($$anchor2,$$slotProps)=>{Pencil($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props.onRefresh},get disabled(){return $$props.isHealthChecking},"aria-label":"Refresh",children:($$anchor2,$$slotProps)=>{Refresh_cw($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_2=sibling(node_1,2);Button(
+node_2,{variant:"ghost",size:"icon",class:"hover:text-destructive-foreground h-7 w-7 text-destructive hover:bg-destructive/10",get onclick(){return $$props.onDelete},"aria-label":"Delete",children:($$anchor2,$$slotProps)=>{Trash_2($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}}),reset(div),append($$anchor,div)}var root_2$b=from_html("<!> <span> </span>",1),root_8$4=from_html('<p class="mt-1 text-xs text-muted-foreground"> </p>'),root_6$6=from_html("<div><!> <!></div>"),root_5$7=from_html(
+'<div class="max-h-64 space-y-3 overflow-y-auto"></div>'),root_1$8=from_html("<!> <!>",1);function McpServerCardToolsList($$anchor,$$props){push$1($$props,!0);let isExpanded=state$1(!1),toolsCount=user_derived(()=>$$props.tools.length);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible,($$anchor2,Collapsible_Root)=>{Collapsible_Root($$anchor2,{get open(){return get$4(isExpanded)},set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor3,$$slotProps)=>{
+var fragment_1=root_1$8(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor4,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$b(),node_2=first_child(fragment_2);{var consequent=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})},alternate=$$anchor6=>{Chevron_right($$anchor6,{class:"h-3.5 w-3.5"})};if_block(
+node_2,$$render=>{get$4(isExpanded)?$$render(consequent):$$render(alternate,!1)})}var span=sibling(node_2,2),text2=child(span);reset(span),template_effect(()=>set_text(text2,`${get$4(toolsCount)??""} tools available · Show details`)),append($$anchor5,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Collapsible_content,($$anchor4,Collapsible_Content)=>{Collapsible_Content($$anchor4,{class:"mt-2",children:($$anchor5,$$slotProps2)=>{var div=root_5$7();each(div,
+21,()=>$$props.tools,tool=>tool.name,($$anchor6,tool)=>{var div_1=root_6$6(),node_4=child(div_1);Badge(node_4,{variant:"secondary",children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$4(tool).name)),append($$anchor7,text_1)},$$slots:{default:!0}});var node_5=sibling(node_4,2);{var consequent_1=$$anchor7=>{var p2=root_8$4(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,get$4(tool).description)),append($$anchor7,p2)};if_block(
+node_5,$$render=>{get$4(tool).description&&$$render(consequent_1)})}reset(div_1),append($$anchor6,div_1)}),reset(div),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root$f=from_html('<div class="space-y-4"><p class="font-medium">Configure Server</p> <!> <div class="flex items-center justify-end gap-2"><!> <!></div></div>');function McpServerCardEditForm($$anchor,$$props){push$1($$props,!0);let serverUseProxy=prop(
+$$props,"serverUseProxy",3,!1),editUrl=user_derived(()=>$$props.serverUrl),editHeaders=state$1(""),editUseProxy=user_derived(serverUseProxy),urlError=user_derived(()=>{if(!get$4(editUrl).trim())return"URL is required";try{return new URL(get$4(editUrl)),null}catch{return"Invalid URL format"}}),canSave=user_derived(()=>!get$4(urlError));function handleSave(){get$4(canSave)&&$$props.onSave(get$4(editUrl).trim(),get$4(editHeaders).trim(),get$4(editUseProxy))}function setInitialValues(url2,headers,useProxy){
+set$1(editUrl,url2),set$1(editHeaders,headers,!0),set$1(editUseProxy,useProxy)}var $$exports={setInitialValues},div=root$f(),node2=sibling(child(div),2);{let $0=user_derived(()=>get$4(editUrl)?get$4(urlError):null);McpServerForm(node2,{get url(){return get$4(editUrl)},get headers(){return get$4(editHeaders)},get useProxy(){return get$4(editUseProxy)},onUrlChange:v=>set$1(editUrl,v),onHeadersChange:v=>set$1(editHeaders,v,!0),onUseProxyChange:v=>set$1(editUseProxy,v),get urlError(){return get$4($0)},
+get id(){return $$props.serverId}})}var div_1=sibling(node2,2),node_1=child(div_1);Button(node_1,{variant:"secondary",size:"sm",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Cancel");append($$anchor2,text2)},$$slots:{default:!0}});var node_2=sibling(node_1,2);{let $0=user_derived(()=>!get$4(canSave));Button(node_2,{size:"sm",onclick:handleSave,get disabled(){return get$4($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8();template_effect(
+$02=>set_text(text_1,$02),[()=>$$props.serverUrl.trim()?"Update":"Add"]),append($$anchor2,text_1)},$$slots:{default:!0}})}return reset(div_1),reset(div),append($$anchor,div),pop($$exports)}var root_5$6=from_html(`Are you sure you want to delete <strong> </strong>? This action cannot be
+				undone.`,1),root_3$7=from_html("<!> <!>",1),root_6$5=from_html("<!> <!>",1),root_2$a=from_html("<!> <!>",1);function McpServerCardDeleteDialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{
+var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$a(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$7(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{
+AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Delete Server");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var fragment_4=root_5$6(),strong2=sibling(first_child(fragment_4)),text_1=child(strong2,!0);reset(strong2),next$1(),template_effect(()=>set_text(text_1,
+$$props.displayName)),append($$anchor9,fragment_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_5=sibling(node_2,2);component(node_5,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=root_6$5(),node_6=first_child(fragment_5);component(node_6,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();
+var text_2=text$8("Cancel");append($$anchor9,text_2)},$$slots:{default:!0}})});var node_7=sibling(node_6,2);component(node_7,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{class:"text-destructive-foreground bg-destructive hover:bg-destructive/90",get onclick(){return $$props.onConfirm},children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8("Delete");append($$anchor9,text_3)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),
+append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$7=from_html('<div class="flex items-center justify-between gap-4"><div class="flex items-center gap-2"><!> <!> <!></div> <!></div> <div class="flex flex-wrap gap-1.5"><!> <!> <!></div> <div class="space-y-1.5"><!> <!></div> <!> <div class="flex justify-end gap-2"><!> <!> <!></div>',1);function McpServerCardSkeleton($$anchor){Card($$anchor,{class:"\
+grid gap-3 p-4",children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$7(),div=first_child(fragment_1),div_1=child(div),node2=child(div_1);Skeleton(node2,{class:"h-5 w-5 rounded"});var node_1=sibling(node2,2);Skeleton(node_1,{class:"h-5 w-28"});var node_2=sibling(node_1,2);Skeleton(node_2,{class:"h-5 w-12 rounded-full"}),reset(div_1);var node_3=sibling(div_1,2);Skeleton(node_3,{class:"h-6 w-11 rounded-full"}),reset(div);var div_2=sibling(div,2),node_4=child(div_2);Skeleton(node_4,{class:"h-5 w\
+-14 rounded-full"});var node_5=sibling(node_4,2);Skeleton(node_5,{class:"h-5 w-12 rounded-full"});var node_6=sibling(node_5,2);Skeleton(node_6,{class:"h-5 w-16 rounded-full"}),reset(div_2);var div_3=sibling(div_2,2),node_7=child(div_3);Skeleton(node_7,{class:"h-4 w-40"});var node_8=sibling(node_7,2);Skeleton(node_8,{class:"h-4 w-52"}),reset(div_3);var node_9=sibling(div_3,2);Skeleton(node_9,{class:"h-3.5 w-36"});var div_4=sibling(node_9,2),node_10=child(div_4);Skeleton(node_10,{class:"h-8 w-8 ro\
+unded"});var node_11=sibling(node_10,2);Skeleton(node_11,{class:"h-8 w-8 rounded"});var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-8 w-8 rounded"}),reset(div_4),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var root_3$6=from_html("<!> <span>Server instructions</span>",1),root_6$4=from_html('<p class="rounded bg-muted/50 p-2 text-xs text-muted-foreground"> </p>'),root_2$9=from_html("<!> <!>",1);function McpServerInfo($$anchor,$$props){let isExpanded=state$1(!1);var fragment=comment$2(),
+node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor3,Collapsible_Root)=>{Collapsible_Root($$anchor3,{get class(){return $$props.class},get open(){return get$4(isExpanded)},set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$9(),node_2=first_child(fragment_2);component(node_2,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger(
+$$anchor5,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_3=root_3$6(),node_3=first_child(fragment_3);{var consequent=$$anchor7=>{Chevron_down($$anchor7,{class:"h-3.5 w-3.5"})},alternate=$$anchor7=>{Chevron_right($$anchor7,{class:"h-3.5 w-3.5"})};if_block(node_3,$$render=>{get$4(isExpanded)?$$render(consequent):$$render(alternate,!1)})}next$1(2),append($$anchor6,fragment_3)},$$slots:{default:!0}})});var node_4=sibling(
+node_2,2);component(node_4,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{Collapsible_Content($$anchor5,{class:"mt-2",children:($$anchor6,$$slotProps2)=>{var p2=root_6$4(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.instructions)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.instructions&&$$render(consequent_1)})}append($$anchor,fragment)}
+var root$e=from_html('<div class="flex flex-col gap-2"><div class="mb-2 flex items-center gap-4"><!> <!></div> <h3 class="text-sm font-medium">Available resources</h3></div>');function McpResourceBrowserHeader($$anchor,$$props){push$1($$props,!0);let searchQuery=prop($$props,"searchQuery",3,"");var div=root$e(),div_1=child(div),node2=child(div_1);SearchInput(node2,{placeholder:"Search resources...",get value(){return searchQuery()},onInput:value=>$$props.onSearch?.(value)});var node_1=sibling(node2,
+2);Button(node_1,{variant:"ghost",size:"sm",class:"h-8 w-8 p-0",get onclick(){return $$props.onRefresh},get disabled(){return $$props.isLoading},title:"Refresh resources",children:($$anchor2,$$slotProps)=>{var fragment=comment$2(),node_2=first_child(fragment);{var consequent=$$anchor3=>{Loader_circle($$anchor3,{class:"h-4 w-4 animate-spin"})},alternate=$$anchor3=>{Refresh_cw($$anchor3,{class:"h-4 w-4"})};if_block(node_2,$$render=>{$$props.isLoading?$$render(consequent):$$render(alternate,!1)})}append(
+$$anchor2,fragment)},$$slots:{default:!0}}),reset(div_1),next$1(2),reset(div),append($$anchor,div),pop()}var root$d=from_html('<div class="py-4 text-center text-sm text-muted-foreground"><!></div>');function McpResourceBrowserEmptyState($$anchor,$$props){var div=root$d(),node2=child(div);{var consequent=$$anchor2=>{var text2=text$8("Loading resources...");append($$anchor2,text2)},alternate=$$anchor2=>{var text_1=text$8("No resources available");append($$anchor2,text_1)};if_block(node2,$$render=>{
+$$props.isLoading?$$render(consequent):$$render(alternate,!1)})}reset(div),append($$anchor,div)}function resourceMatchesSearch(resource,query){return resource.title?.toLowerCase().includes(query)||resource.uri.toLowerCase().includes(query)}function buildResourceTree(resourceList,serverName,searchQuery){const root2={name:"root",children:new Map};if(!searchQuery||!searchQuery.trim()){for(const resource of resourceList){const pathParts=parseResourcePath(resource.uri);let current2=root2;for(let i=0;i<
+pathParts.length-1;i++){const part=pathParts[i];current2.children.has(part)||current2.children.set(part,{name:part,children:new Map}),current2=current2.children.get(part)}const fileName=pathParts[pathParts.length-1]||resource.name;current2.children.set(resource.uri,{name:fileName,resource:{...resource,serverName},children:new Map})}return root2}const query=searchQuery.toLowerCase();for(const resource of resourceList){if(!resourceMatchesSearch(resource,query))continue;const pathParts=parseResourcePath(
+resource.uri);let current2=root2;for(let i=0;i<pathParts.length-1;i++){const part=pathParts[i];current2.children.has(part)||current2.children.set(part,{name:part,children:new Map,isFiltered:!0}),current2=current2.children.get(part)}const fileName=pathParts[pathParts.length-1]||resource.name;current2.children.set(resource.uri,{name:fileName,resource:{...resource,serverName},children:new Map,isFiltered:!0})}function cleanupEmptyFolders(node2){if(node2.resource)return!0;const toDelete=[];for(const[
+name,child2]of node2.children.entries())cleanupEmptyFolders(child2)||toDelete.push(name);for(const name of toDelete)node2.children.delete(name);return node2.children.size>0}return cleanupEmptyFolders(root2),root2}function countTreeResources(node2){if(node2.resource)return 1;let count=0;for(const child2 of node2.children.values())count+=countTreeResources(child2);return count}function sortTreeChildren(children){return children.sort((a,b)=>{const aIsFolder=!a.resource&&a.children.size>0,bIsFolder=!b.
+resource&&b.children.size>0;return aIsFolder&&!bIsFolder?-1:!aIsFolder&&bIsFolder?1:a.name.localeCompare(b.name)})}var root_4$3=from_html('<!> <!> <span class="font-medium"> </span> <span class="text-xs text-muted-foreground"> </span>',1),root_7$5=from_html('<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2"></div>'),root_3$5=from_html("<!> <!>",1),root_10$5=from_html('<div class="group flex w-full items-center gap-2"><!> <button><!> <span class="min-w-0 flex-1 truncate text-\
+left"> </span></button></div>'),root_16$1=from_html('<img alt="" class="h-4 w-4 shrink-0 rounded-sm"/>'),root_13$4=from_html('<!> <span class="inline-flex flex-col items-start text-left"><span class="inline-flex items-center justify-start gap-1.5 font-medium"><!> </span> <span class="text-xs text-muted-foreground"> <!>)</span></span> <!>',1),root_20$2=from_html('<div class="py-1 text-xs text-red-500"> </div>'),root_22$2=from_html('<div class="py-1 text-xs text-muted-foreground">No resources</div\
+>'),root_27=from_html('<div class="my-1 border-t border-border/30"></div>'),root_28=from_html('<button><!> <span class="min-w-0 flex-1 truncate text-left"> </span></button>'),root_26$1=from_html('<!> <div class="py-0.5 text-[11px] font-medium tracking-wide text-muted-foreground/70 uppercase">Templates</div> <!>',1),root_23=from_html("<!> <!>",1),root_19=from_html('<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2"><!></div>'),root_12$2=from_html("<!> <!>",1);function McpResourceBrowserServerItem($$anchor,$$props){
+push$1($$props,!0);const renderTreeNode=($$anchor2,node2=noop$3,depth=noop$3,parentPath=noop$3)=>{const isFolder=user_derived(()=>!node2().resource&&node2().children.size>0),folderId=user_derived(()=>`${$$props.serverName}:${parentPath()}/${node2().name}`),isFolderExpanded=user_derived(()=>$$props.expandedFolders.has(get$4(folderId)));var fragment=comment$2(),node_1=first_child(fragment);{var consequent_1=$$anchor3=>{const folderCount=user_derived(()=>countTreeResources(node2()));var fragment_1=comment$2(),
+node_2=first_child(fragment_1);component(node_2,()=>Collapsible,($$anchor4,Collapsible_Root)=>{Collapsible_Root($$anchor4,{get open(){return get$4(isFolderExpanded)},onOpenChange:()=>$$props.onToggleFolder(get$4(folderId)),children:($$anchor5,$$slotProps)=>{var fragment_2=root_3$5(),node_3=first_child(fragment_2);component(node_3,()=>Collapsible_trigger,($$anchor6,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor6,{class:"flex w-full items-center gap-2 rounded px-2 py-1 text-sm hover:bg-muted/\
+50",children:($$anchor7,$$slotProps2)=>{var fragment_3=root_4$3(),node_4=first_child(fragment_3);{var consequent=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3 w-3"})},alternate=$$anchor8=>{Chevron_right($$anchor8,{class:"h-3 w-3"})};if_block(node_4,$$render=>{get$4(isFolderExpanded)?$$render(consequent):$$render(alternate,!1)})}var node_5=sibling(node_4,2);Folder_open(node_5,{class:"h-3.5 w-3.5 text-muted-foreground"});var span=sibling(node_5,2),text2=child(span,!0);reset(span);var span_1=sibling(
+span,2),text_1=child(span_1);reset(span_1),template_effect(()=>{set_text(text2,node2().name),set_text(text_1,`(${get$4(folderCount)??""})`)}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Collapsible_content,($$anchor6,Collapsible_Content)=>{Collapsible_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var div=root_7$5();each(div,21,()=>sortTreeChildren([...node2().children.values()]),child2=>child2.resource?.uri||`${$$props.serverName}\
+:${parentPath()}/${node2().name}/${child2.name}`,($$anchor8,child2)=>{renderTreeNode($$anchor8,()=>get$4(child2),()=>depth()+1,()=>`${parentPath()}/${node2().name}`)}),reset(div),append($$anchor7,div)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},alternate_1=$$anchor3=>{var fragment_7=comment$2(),node_7=first_child(fragment_7);{var consequent_3=$$anchor4=>{const resource=user_derived(()=>node2().resource),ResourceIcon=user_derived(
+()=>getResourceIcon(get$4(resource).mimeType,get$4(resource).uri)),isSelected=user_derived(()=>isResourceSelected(get$4(resource))),resourceDisplayName=user_derived(()=>get$4(resource).title||getDisplayName(node2().name));var div_1=root_10$5(),node_8=child(div_1);{var consequent_2=$$anchor5=>{Checkbox($$anchor5,{get checked(){return get$4(isSelected)},onCheckedChange:checked=>handleCheckboxChange(get$4(resource),checked===!0),class:"h-4 w-4"})};if_block(node_8,$$render=>{$$props.onToggle&&$$render(
+consequent_2)})}var button=sibling(node_8,2);button.__click=e=>handleResourceClick(get$4(resource),e);var node_9=child(button);component(node_9,()=>get$4(ResourceIcon),($$anchor5,ResourceIcon_1)=>{ResourceIcon_1($$anchor5,{class:"h-3.5 w-3.5 shrink-0 text-muted-foreground"})});var span_2=sibling(node_9,2),text_2=child(span_2,!0);reset(span_2),reset(button),reset(div_1),template_effect($0=>{set_class(button,1,$0),set_attribute(button,"title",get$4(resourceDisplayName)),set_text(text_2,get$4(resourceDisplayName))},
+[()=>clsx(cn$1("flex flex-1 items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors","hover:bg-muted/50",get$4(isSelected)&&"bg-muted"))]),append($$anchor4,div_1)};if_block(node_7,$$render=>{node2().resource&&$$render(consequent_3)},!0)}append($$anchor3,fragment_7)};if_block(node_1,$$render=>{get$4(isFolder)?$$render(consequent_1):$$render(alternate_1,!1)})}append($$anchor2,fragment)};let searchQuery=prop($$props,"searchQuery",3,"");const hasResources=user_derived(()=>$$props.serverRes.
+resources.length>0),hasTemplates=user_derived(()=>$$props.serverRes.templates.length>0),hasContent=user_derived(()=>get$4(hasResources)||get$4(hasTemplates)),displayName=user_derived(()=>mcpStore.getServerDisplayName($$props.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.serverName)),resourceTree=user_derived(()=>buildResourceTree($$props.serverRes.resources,$$props.serverName,searchQuery())),templateInfos=user_derived(()=>$$props.serverRes.templates.map(t=>({uriTemplate:t.
+uriTemplate,name:t.name,title:t.title,description:t.description,mimeType:t.mimeType,serverName:$$props.serverName,annotations:t.annotations,icons:t.icons})));function handleResourceClick(resource,event2){$$props.onSelect?.(resource,event2.shiftKey)}function handleCheckboxChange(resource,checked){$$props.onToggle?.(resource,checked)}function isResourceSelected(resource){return $$props.selectedUris.has(resource.uri)}var fragment_9=comment$2(),node_10=first_child(fragment_9);component(node_10,()=>Collapsible,
+($$anchor2,Collapsible_Root_1)=>{Collapsible_Root_1($$anchor2,{get open(){return $$props.isExpanded},get onOpenChange(){return $$props.onToggleServer},children:($$anchor3,$$slotProps)=>{var fragment_10=root_12$2(),node_11=first_child(fragment_10);component(node_11,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger_1)=>{Collapsible_Trigger_1($$anchor4,{class:"flex w-full items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50",children:($$anchor5,$$slotProps2)=>{var fragment_11=root_13$4(),
+node_12=first_child(fragment_11);{var consequent_4=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})},alternate_2=$$anchor6=>{Chevron_right($$anchor6,{class:"h-3.5 w-3.5"})};if_block(node_12,$$render=>{$$props.isExpanded?$$render(consequent_4):$$render(alternate_2,!1)})}var span_3=sibling(node_12,2),span_4=child(span_3),node_13=child(span_4);{var consequent_5=$$anchor6=>{var img=root_16$1();template_effect(()=>set_attribute(img,"src",get$4(favicon))),event("error",img,e=>{e.currentTarget.
+style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_13,$$render=>{get$4(favicon)&&$$render(consequent_5)})}var text_3=sibling(node_13);reset(span_4);var span_5=sibling(span_4,2),text_4=child(span_5),node_14=sibling(text_4);{var consequent_6=$$anchor6=>{var text_5=text$8();template_effect(()=>set_text(text_5,`, ${$$props.serverRes.templates.length??""} template${$$props.serverRes.templates.length!==1?"s":""}`)),append($$anchor6,text_5)};if_block(node_14,$$render=>{get$4(
+hasTemplates)&&$$render(consequent_6)})}next$1(),reset(span_5),reset(span_3);var node_15=sibling(span_3,2);{var consequent_7=$$anchor6=>{Loader_circle($$anchor6,{class:"ml-auto h-3 w-3 animate-spin text-muted-foreground"})};if_block(node_15,$$render=>{$$props.serverRes.loading&&$$render(consequent_7)})}template_effect(()=>{set_text(text_3,` ${get$4(displayName)??""}`),set_text(text_4,`(${$$props.serverRes.resources.length??""} resource${$$props.serverRes.resources.length!==1?"s":""}`)}),append($$anchor5,
+fragment_11)},$$slots:{default:!0}})});var node_16=sibling(node_11,2);component(node_16,()=>Collapsible_content,($$anchor4,Collapsible_Content_1)=>{Collapsible_Content_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var div_2=root_19(),node_17=child(div_2);{var consequent_8=$$anchor6=>{var div_3=root_20$2(),text_6=child(div_3);reset(div_3),template_effect(()=>set_text(text_6,`Error: ${$$props.serverRes.error??""}`)),append($$anchor6,div_3)},alternate_4=$$anchor6=>{var fragment_16=comment$2(),node_18=first_child(
+fragment_16);{var consequent_9=$$anchor7=>{var div_4=root_22$2();append($$anchor7,div_4)},alternate_3=$$anchor7=>{var fragment_17=root_23(),node_19=first_child(fragment_17);{var consequent_10=$$anchor8=>{var fragment_18=comment$2(),node_20=first_child(fragment_18);each(node_20,17,()=>sortTreeChildren([...get$4(resourceTree).children.values()]),child2=>child2.resource?.uri||`${$$props.serverName}:${child2.name}`,($$anchor9,child2)=>{renderTreeNode($$anchor9,()=>get$4(child2),()=>1,()=>"")}),append(
+$$anchor8,fragment_18)};if_block(node_19,$$render=>{get$4(hasResources)&&$$render(consequent_10)})}var node_21=sibling(node_19,2);{var consequent_12=$$anchor8=>{var fragment_20=root_26$1(),node_22=first_child(fragment_20);{var consequent_11=$$anchor9=>{var div_5=root_27();append($$anchor9,div_5)};if_block(node_22,$$render=>{get$4(hasResources)&&$$render(consequent_11)})}var node_23=sibling(node_22,4);each(node_23,17,()=>get$4(templateInfos),template=>template.uriTemplate,($$anchor9,template)=>{var button_1=root_28();
+button_1.__click=()=>$$props.onTemplateSelect(get$4(template));var node_24=child(button_1);Braces(node_24,{class:"h-3.5 w-3.5 shrink-0 text-muted-foreground"});var span_6=sibling(node_24,2),text_7=child(span_6,!0);reset(span_6),reset(button_1),template_effect($0=>{set_class(button_1,1,$0),set_attribute(button_1,"title",get$4(template).uriTemplate),set_text(text_7,get$4(template).title||get$4(template).name)},[()=>clsx(cn$1("flex w-full items-center gap-2 rounded px-2 py-1 text-left text-sm trans\
+ition-colors","hover:bg-muted/50",$$props.selectedTemplateUri===get$4(template).uriTemplate&&"bg-muted"))]),append($$anchor9,button_1)}),append($$anchor8,fragment_20)};if_block(node_21,$$render=>{get$4(hasTemplates)&&$$props.onTemplateSelect&&$$render(consequent_12)})}append($$anchor7,fragment_17)};if_block(node_18,$$render=>{get$4(hasContent)?$$render(alternate_3,!1):$$render(consequent_9)},!0)}append($$anchor6,fragment_16)};if_block(node_17,$$render=>{$$props.serverRes.error?$$render(consequent_8):
+$$render(alternate_4,!1)})}reset(div_2),append($$anchor5,div_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_10)},$$slots:{default:!0}})}),append($$anchor,fragment_9),pop()}delegate(["click"]);var root$c=from_html('<div><!> <div class="flex flex-col gap-1"><!></div></div>');function McpResourceBrowser($$anchor,$$props){push$1($$props,!0);let selectedUris=prop($$props,"selectedUris",19,()=>new Set),expandedServers=new SvelteSet,expandedFolders=new SvelteSet,searchQuery=state$1("");const resources=user_derived(
+mcpResources),isLoading2=user_derived(mcpResourcesLoading),filteredResources=user_derived(()=>{if(!get$4(searchQuery).trim())return get$4(resources);const query=get$4(searchQuery).toLowerCase(),filtered=new SvelteMap;for(const[serverName,serverRes]of get$4(resources).entries()){const filteredResources2=serverRes.resources.filter(r2=>r2.title?.toLowerCase().includes(query)||r2.uri.toLowerCase().includes(query)||serverName.toLowerCase().includes(query)),filteredTemplates=serverRes.templates.filter(
+t=>t.name?.toLowerCase().includes(query)||t.title?.toLowerCase().includes(query)||t.uriTemplate.toLowerCase().includes(query)||serverName.toLowerCase().includes(query));(filteredResources2.length>0||filteredTemplates.length>0||query.trim())&&filtered.set(serverName,{...serverRes,resources:filteredResources2,templates:filteredTemplates})}return filtered});user_effect(()=>{$$props.expandToUri&&get$4(resources).size>0&&autoExpandToResource($$props.expandToUri)});function autoExpandToResource(uri2){
+for(const[serverName,serverRes]of get$4(resources).entries())if(serverRes.resources.find(r2=>r2.uri===uri2)){expandedServers.add(serverName);const pathParts=parseResourcePath(uri2);if(pathParts.length>1){let currentPath="";for(let i=0;i<pathParts.length-1;i++){currentPath=`${currentPath}/${pathParts[i]}`;const folderId=`${serverName}:${currentPath}`;expandedFolders.add(folderId)}}break}}function toggleServer(serverName){expandedServers.has(serverName)?expandedServers.delete(serverName):expandedServers.
+add(serverName)}function toggleFolder(folderId){expandedFolders.has(folderId)?expandedFolders.delete(folderId):expandedFolders.add(folderId)}function handleRefresh(){mcpStore.fetchAllResources()}var div=root$c(),node2=child(div);McpResourceBrowserHeader(node2,{get isLoading(){return get$4(isLoading2)},onRefresh:handleRefresh,onSearch:q2=>set$1(searchQuery,q2,!0),get searchQuery(){return get$4(searchQuery)}});var div_1=sibling(node2,2),node_1=child(div_1);{var consequent=$$anchor2=>{McpResourceBrowserEmptyState(
+$$anchor2,{get isLoading(){return get$4(isLoading2)}})},alternate=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,17,()=>[...get$4(filteredResources).entries()],([serverName,serverRes])=>serverName,($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$4($$item),2));let serverName=()=>get$4($$array)[0],serverRes=()=>get$4($$array)[1];{let $0=user_derived(()=>expandedServers.has(serverName()));McpResourceBrowserServerItem($$anchor3,{get serverName(){return serverName()},
+get serverRes(){return serverRes()},get isExpanded(){return get$4($0)},get selectedUris(){return selectedUris()},get selectedTemplateUri(){return $$props.selectedTemplateUri},get expandedFolders(){return expandedFolders},onToggleServer:()=>toggleServer(serverName()),onToggleFolder:toggleFolder,get onSelect(){return $$props.onSelect},get onToggle(){return $$props.onToggle},get onTemplateSelect(){return $$props.onTemplateSelect},get searchQuery(){return get$4(searchQuery)}})}}),append($$anchor2,fragment_1)};
+if_block(node_1,$$render=>{get$4(filteredResources).size===0?$$render(consequent):$$render(alternate,!1)})}reset(div_1),reset(div),template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("flex flex-col gap-2",$$props.class))]),append($$anchor,div),pop()}var root_1$6=from_html('<div class="flex flex-col items-center justify-center gap-2 py-8 text-muted-foreground"><!> <span class="text-sm">Select a resource to preview</span></div>'),root_3$4=from_html('<p class="mt-1 text-sm text-muted-foreground"\
+> </p>'),root_5$5=from_html('<div class="flex items-center justify-center py-8"><!></div>'),root_7$4=from_html('<div class="flex flex-col items-center justify-center gap-2 py-8 text-red-500"><!> <span class="text-sm"> </span></div>'),root_10$4=from_html('<pre class="font-mono text-xs break-words whitespace-pre-wrap"> </pre>'),root_12$1=from_html('<img alt="Resource content" class="max-w-full rounded"/>'),root_13$3=from_html('<div class="flex items-center gap-2 rounded bg-muted p-2 text-sm text-m\
+uted-foreground"><!> <span> </span></div>'),root_14$2=from_html('<div class="py-4 text-center text-sm text-muted-foreground">No content available</div>'),root_9$4=from_html("<!> <!> <!>",1),root_16=from_html('<span class="rounded bg-muted px-1.5 py-0.5"> </span>'),root_17=from_html('<span class="rounded bg-muted px-1.5 py-0.5"> </span>'),root_15$1=from_html('<div class="flex flex-wrap gap-2 text-xs text-muted-foreground"><!> <!> <span class="rounded bg-muted px-1.5 py-0.5"> </span></div>'),root_2$8=from_html(
+'<div class="flex items-start justify-between gap-2"><div class="min-w-0 flex-1"><h3 class="truncate font-medium"> </h3> <p class="truncate text-xs text-muted-foreground"> </p> <!></div> <div class="flex items-center gap-1"><!> <!></div></div> <div class="min-h-[200px] overflow-auto rounded-md border bg-muted/30 p-3 break-all"><!></div> <!>',1),root$b=from_html("<div><!></div>");function McpResourcePreview($$anchor,$$props){push$1($$props,!0);let content2=state$1(null),isLoading2=state$1(!1),error2=state$1(
+null);user_effect(()=>{$$props.resource?$$props.preloadedContent?(set$1(content2,$$props.preloadedContent,!0),set$1(isLoading2,!1),set$1(error2,null)):loadContent($$props.resource.uri):(set$1(content2,null),set$1(error2,null))});async function loadContent(uri2){set$1(isLoading2,!0),set$1(error2,null);try{const result=await mcpStore.readResource(uri2);result?set$1(content2,result,!0):set$1(error2,"Failed to load resource content")}catch(e){set$1(error2,e instanceof Error?e.message:"Unknown error",
+!0)}finally{set$1(isLoading2,!1)}}function handleDownload(){const text2=getResourceTextContent(get$4(content2));!text2||!$$props.resource||downloadResourceContent(text2,$$props.resource.mimeType||MimeTypeText.PLAIN,$$props.resource.name||"resource.txt")}var div=root$b(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$6(),node_1=child(div_1);File_text(node_1,{class:"h-8 w-8 opacity-50"}),next$1(2),reset(div_1),append($$anchor2,div_1)},alternate_3=$$anchor2=>{var fragment=root_2$8(),
+div_2=first_child(fragment),div_3=child(div_2),h3=child(div_3),text_1=child(h3,!0);reset(h3);var p2=sibling(h3,2),text_2=child(p2,!0);reset(p2);var node_2=sibling(p2,2);{var consequent_1=$$anchor3=>{var p_1=root_3$4(),text_3=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_3,$$props.resource.description)),append($$anchor3,p_1)};if_block(node_2,$$render=>{$$props.resource.description&&$$render(consequent_1)})}reset(div_3);var div_4=sibling(div_3,2),node_3=child(div_4);{let $0=user_derived(
+()=>getResourceTextContent(get$4(content2))),$1=user_derived(()=>!get$4(isLoading2)&&!!getResourceTextContent(get$4(content2)));ActionIconCopyToClipboard(node_3,{get text(){return get$4($0)},get canCopy(){return get$4($1)},ariaLabel:"Copy content"})}var node_4=sibling(node_3,2);{let $0=user_derived(()=>get$4(isLoading2)||!getResourceTextContent(get$4(content2)));Button(node_4,{variant:"ghost",size:"sm",class:"h-7 w-7 p-0",onclick:handleDownload,get disabled(){return get$4($0)},title:"Download co\
+ntent",children:($$anchor3,$$slotProps)=>{Download($$anchor3,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})}reset(div_4),reset(div_2);var div_5=sibling(div_2,2),node_5=child(div_5);{var consequent_2=$$anchor3=>{var div_6=root_5$5(),node_6=child(div_6);Loader_circle(node_6,{class:"h-6 w-6 animate-spin text-muted-foreground"}),reset(div_6),append($$anchor3,div_6)},alternate_2=$$anchor3=>{var fragment_2=comment$2(),node_7=first_child(fragment_2);{var consequent_3=$$anchor4=>{var div_7=root_7$4(),node_8=child(
+div_7);Circle_alert(node_8,{class:"h-6 w-6"});var span=sibling(node_8,2),text_4=child(span,!0);reset(span),reset(div_7),template_effect(()=>set_text(text_4,get$4(error2))),append($$anchor4,div_7)},alternate_1=$$anchor4=>{var fragment_3=comment$2(),node_9=first_child(fragment_3);{var consequent_7=$$anchor5=>{const textContent=user_derived(()=>getResourceTextContent(get$4(content2))),blobContent=user_derived(()=>getResourceBlobContent(get$4(content2)));var fragment_4=root_9$4(),node_10=first_child(
+fragment_4);{var consequent_4=$$anchor6=>{var pre=root_10$4(),text_5=child(pre,!0);reset(pre),template_effect(()=>set_text(text_5,get$4(textContent))),append($$anchor6,pre)};if_block(node_10,$$render=>{get$4(textContent)&&$$render(consequent_4)})}var node_11=sibling(node_10,2);each(node_11,17,()=>get$4(blobContent),blob=>blob.uri,($$anchor6,blob)=>{var fragment_5=comment$2(),node_12=first_child(fragment_5);{var consequent_5=$$anchor7=>{var img=root_12$1();template_effect($0=>set_attribute(img,"s\
+rc",$0),[()=>createBase64DataUrl(get$4(blob).mimeType??MimeTypeApplication.OCTET_STREAM,get$4(blob).blob)]),append($$anchor7,img)},alternate=$$anchor7=>{var div_8=root_13$3(),node_13=child(div_8);File_text(node_13,{class:"h-4 w-4"});var span_1=sibling(node_13,2),text_6=child(span_1);reset(span_1),reset(div_8),template_effect(()=>set_text(text_6,`Binary content (${get$4(blob).mimeType||"unknown type"})`)),append($$anchor7,div_8)};if_block(node_12,$$render=>{isImageMimeType(get$4(blob).mimeType??MimeTypeApplication.
+OCTET_STREAM)?$$render(consequent_5):$$render(alternate,!1)})}append($$anchor6,fragment_5)});var node_14=sibling(node_11,2);{var consequent_6=$$anchor6=>{var div_9=root_14$2();append($$anchor6,div_9)};if_block(node_14,$$render=>{!get$4(textContent)&&get$4(blobContent).length===0&&$$render(consequent_6)})}append($$anchor5,fragment_4)};if_block(node_9,$$render=>{get$4(content2)&&$$render(consequent_7)},!0)}append($$anchor4,fragment_3)};if_block(node_7,$$render=>{get$4(error2)?$$render(consequent_3):
+$$render(alternate_1,!1)},!0)}append($$anchor3,fragment_2)};if_block(node_5,$$render=>{get$4(isLoading2)?$$render(consequent_2):$$render(alternate_2,!1)})}reset(div_5);var node_15=sibling(div_5,2);{var consequent_10=$$anchor3=>{var div_10=root_15$1(),node_16=child(div_10);{var consequent_8=$$anchor4=>{var span_2=root_16(),text_7=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_7,$$props.resource.mimeType)),append($$anchor4,span_2)};if_block(node_16,$$render=>{$$props.resource.mimeType&&
+$$render(consequent_8)})}var node_17=sibling(node_16,2);{var consequent_9=$$anchor4=>{var span_3=root_17(),text_8=child(span_3);reset(span_3),template_effect(()=>set_text(text_8,`Priority: ${$$props.resource.annotations.priority??""}`)),append($$anchor4,span_3)};if_block(node_17,$$render=>{$$props.resource.annotations?.priority!==void 0&&$$render(consequent_9)})}var span_4=sibling(node_17,2),text_9=child(span_4);reset(span_4),reset(div_10),template_effect(()=>set_text(text_9,`Server: ${$$props.resource.
+serverName??""}`)),append($$anchor3,div_10)};if_block(node_15,$$render=>{($$props.resource.mimeType||$$props.resource.annotations)&&$$render(consequent_10)})}template_effect(()=>{set_text(text_1,$$props.resource.title||$$props.resource.name),set_text(text_2,$$props.resource.uri)}),append($$anchor2,fragment)};if_block(node2,$$render=>{$$props.resource?$$render(alternate_3,!1):$$render(consequent)})}reset(div),template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("flex flex-col gap-3",$$props.class))]),
+append($$anchor,div),pop()}var root_2$7=from_html('<div class="rounded-md bg-muted/50 px-3 py-2"><p class="text-xs text-muted-foreground">Resolved URI:</p> <p class="mt-0.5 font-mono text-xs break-all"> </p></div>'),root$a=from_html('<form class="space-y-3"><!> <!> <div class="flex justify-end gap-2 pt-1"><!> <!></div></form>');function McpResourceTemplateForm($$anchor,$$props){push$1($$props,!0);const variables=user_derived(()=>extractTemplateVariables($$props.template.uriTemplate));let values=proxy(
+{}),suggestions=proxy({}),loadingSuggestions=proxy({}),activeAutocomplete=state$1(null),autocompleteIndex=state$1(0);const expandedUri=user_derived(()=>expandTemplate($$props.template.uriTemplate,values)),isComplete=user_derived(()=>isTemplateComplete($$props.template.uriTemplate,values)),fetchCompletions=debounce(async(argName,value)=>{if(value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getResourceCompletions($$props.template.serverName,
+$$props.template.uriTemplate,argName,value);if(result&&result.values.length>0){const filteredValues=result.values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]=filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else suggestions[argName]=[]}catch(error2){console.error("[McpResourceTemplateForm] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){
+values[argName]=value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){values[argName]=value,suggestions[argName]=[],set$1(activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??[];if(event2.key===KeyboardKey.ESCAPE){event2.preventDefault(),event2.stopPropagation(),argSuggestions.length>0&&get$4(activeAutocomplete)===argName?(suggestions[argName]=[],set$1(activeAutocomplete,null)):$$props.onCancel();return}argSuggestions.
+length===0||get$4(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),set$1(autocompleteIndex,Math.min(get$4(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),set$1(autocompleteIndex,Math.max(get$4(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$4(autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$4(autocompleteIndex)])))}
+function handleArgBlur(argName){setTimeout(()=>{get$4(activeAutocomplete)===argName&&(suggestions[argName]=[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){const value=values[argName]??"";value.length>=MIN_AUTOCOMPLETE_INPUT_LENGTH&&fetchCompletions(argName,value)}function handleSubmit(event2){event2.preventDefault(),get$4(isComplete)&&$$props.onResolve(get$4(expandedUri),$$props.template.serverName)}var form=root$a(),node2=child(form);each(node2,17,()=>get$4(variables),
+variable=>variable.name,($$anchor2,variable)=>{{let $0=user_derived(()=>values[get$4(variable).name]??""),$1=user_derived(()=>suggestions[get$4(variable).name]??[]),$2=user_derived(()=>loadingSuggestions[get$4(variable).name]??!1),$3=user_derived(()=>get$4(activeAutocomplete)===get$4(variable).name),$4=user_derived(()=>get$4(activeAutocomplete)===get$4(variable).name?get$4(autocompleteIndex):0);InputWithSuggestions($$anchor2,{get name(){return get$4(variable).name},get value(){return get$4($0)},
+get suggestions(){return get$4($1)},get isLoadingSuggestions(){return get$4($2)},get isAutocompleteActive(){return get$4($3)},get autocompleteIndex(){return get$4($4)},onInput:value=>handleArgInput(get$4(variable).name,value),onKeydown:e=>handleArgKeydown(e,get$4(variable).name),onBlur:()=>handleArgBlur(get$4(variable).name),onFocus:()=>handleArgFocus(get$4(variable).name),onSelectSuggestion:value=>selectSuggestion(get$4(variable).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{
+var div=root_2$7(),p2=sibling(child(div),2),text2=child(p2,!0);reset(p2),reset(div),template_effect(()=>set_text(text2,get$4(expandedUri))),append($$anchor2,div)};if_block(node_1,$$render=>{get$4(isComplete)&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(div_1);Button(node_2,{type:"button",size:"sm",variant:"secondary",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(
+node_2,2);{let $0=user_derived(()=>!get$4(isComplete));Button(node_3,{size:"sm",type:"submit",get disabled(){return get$4($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Read Resource");append($$anchor2,text_2)},$$slots:{default:!0}})}reset(div_1),reset(form),event("submit",form,handleSubmit),append($$anchor,form),pop()}function filterModelOptions(options,searchTerm){const term=searchTerm.trim().toLowerCase();return term?options.filter(option2=>option2.model.toLowerCase().includes(
+term)||option2.name?.toLowerCase().includes(term)||option2.aliases?.some(alias=>alias.toLowerCase().includes(term))||option2.tags?.some(tag=>tag.toLowerCase().includes(term))):options}function groupModelOptions(filteredOptions,favoriteIds,isModelLoaded){const loaded=[];for(let i=0;i<filteredOptions.length;i++)isModelLoaded(filteredOptions[i].model)&&loaded.push({option:filteredOptions[i],flatIndex:i});const loadedModelIds=new Set(loaded.map(item=>item.option.model)),favorites=[];for(let i=0;i<filteredOptions.
+length;i++)favoriteIds.has(filteredOptions[i].model)&&!loadedModelIds.has(filteredOptions[i].model)&&favorites.push({option:filteredOptions[i],flatIndex:i});const available=[],orgGroups=new SvelteMap;for(let i=0;i<filteredOptions.length;i++){const option2=filteredOptions[i];if(loadedModelIds.has(option2.model)||favoriteIds.has(option2.model))continue;const key2=option2.parsedId?.orgName??"";orgGroups.has(key2)||orgGroups.set(key2,[]),orgGroups.get(key2).push({option:option2,flatIndex:i})}for(const[
+orgName,items2]of orgGroups)available.push({orgName:orgName||null,items:items2});return{loaded,favorites,available}}var root_1$5=from_html('<div class="flex items-center gap-2 text-xs text-muted-foreground"><!> Loading models…</div>'),root_4$2=from_html('<span style="max-width: min(calc(100cqw - 9rem), 20rem)"><!> <!></span>'),root_5$4=from_html('<p class="text-xs text-muted-foreground">No models available.</p>'),root_13$2=from_html('<p class="font-mono"> </p>'),root_11$2=from_html("<!> <!>",1),
+root_14$1=from_html('<span class="min-w-0 font-medium">Select model</span>'),root_9$3=from_html("<!> <!> <!>",1),root_20$1=from_html('<button type="button" class="flex w-full cursor-not-allowed items-center bg-red-400/10 p-2 text-left text-sm text-red-400" role="option" aria-selected="true" aria-disabled="true" disabled><!> <span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span></button>'),root_21$1=from_html('<p class="px-4 py-3 text-sm text-muted-foreground">No models fo\
+und.</p>'),root_18$1=from_html('<div class="models-list"><!> <!> <!></div>'),root_8$3=from_html("<!> <!>",1),root_26=from_html('<p class="font-mono"> </p>'),root_24=from_html("<!> <!>",1),root_22$1=from_html('<button style="max-width: min(calc(100cqw - 6.5rem), 32rem)"><!> <!> <!></button>'),root$9=from_html("<div><!></div> <!>",1);function ModelsSelector($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop($$props,"currentModel",3,null),disabled=prop($$props,
+"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),options=user_derived(()=>modelOptions().filter(option2=>modelsStore.getModelProps(option2.model)?.webui!==!1)),loading=user_derived(modelsLoading),updating=user_derived(modelsUpdating),activeId=user_derived(selectedModelId),isRouter=user_derived(isRouterMode),serverModel=user_derived(singleModelName),isHighlightedCurrentModelActive=user_derived(()=>{if(!get$4(isRouter)||
+!currentModel())return!1;const currentOption=get$4(options).find(option2=>option2.model===currentModel());return currentOption?currentOption.id===get$4(activeId):!1}),isCurrentModelInCache=user_derived(()=>!get$4(isRouter)||!currentModel()?!0:get$4(options).some(option2=>option2.model===currentModel())),isLoadingModel=state$1(!1),searchTerm=state$1(""),highlightedIndex=state$1(-1),filteredOptions=user_derived(()=>filterModelOptions(get$4(options),get$4(searchTerm))),groupedFilteredOptions=user_derived(
+()=>groupModelOptions(get$4(filteredOptions),modelsStore.favoriteModelIds,m=>modelsStore.isModelLoaded(m)));user_effect(()=>{get$4(searchTerm),set$1(highlightedIndex,-1)});let isOpen=state$1(!1),showModelDialog=state$1(!1),infoModelId=state$1(null);function handleInfoClick(modelName){set$1(infoModelId,modelName,!0),set$1(showModelDialog,!0)}onMount$1(()=>{modelsStore.fetch().catch(error2=>{console.error("Unable to load models:",error2)})});function handleOpenChange(open3){get$4(loading)||get$4(updating)||
+(get$4(isRouter)?open3?(set$1(isOpen,!0),set$1(searchTerm,""),set$1(highlightedIndex,-1),modelsStore.fetchRouterModels().then(()=>{modelsStore.fetchModalitiesForLoadedModels()})):(set$1(isOpen,!1),set$1(searchTerm,""),set$1(highlightedIndex,-1)):set$1(showModelDialog,open3,!0))}function open2(){handleOpenChange(!0)}function handleSearchKeyDown(event2){if(!event2.isComposing){if(event2.key===KeyboardKey.ARROW_DOWN){if(event2.preventDefault(),get$4(filteredOptions).length===0)return;get$4(highlightedIndex)===
+-1||get$4(highlightedIndex)===get$4(filteredOptions).length-1?set$1(highlightedIndex,0):set$1(highlightedIndex,get$4(highlightedIndex)+1)}else if(event2.key===KeyboardKey.ARROW_UP){if(event2.preventDefault(),get$4(filteredOptions).length===0)return;get$4(highlightedIndex)===-1||get$4(highlightedIndex)===0?set$1(highlightedIndex,get$4(filteredOptions).length-1):set$1(highlightedIndex,get$4(highlightedIndex)-1)}else if(event2.key===KeyboardKey.ENTER)if(event2.preventDefault(),get$4(highlightedIndex)>=
+0&&get$4(highlightedIndex)<get$4(filteredOptions).length){const option2=get$4(filteredOptions)[get$4(highlightedIndex)];handleSelect(option2.id)}else get$4(filteredOptions).length>0&&set$1(highlightedIndex,0)}}async function handleSelect(modelId){const option2=get$4(options).find(opt=>opt.id===modelId);if(!option2)return;let shouldCloseMenu=!0;$$props.onModelChange?await $$props.onModelChange(option2.id,option2.model)===!1&&(shouldCloseMenu=!1):await modelsStore.selectModelById(option2.id),shouldCloseMenu&&
+(handleOpenChange(!1),requestAnimationFrame(()=>{document.querySelector('[data-slot="chat-form"] textarea')?.focus()})),!$$props.onModelChange&&get$4(isRouter)&&!modelsStore.isModelLoaded(option2.model)&&(set$1(isLoadingModel,!0),modelsStore.loadModel(option2.model).catch(error2=>console.error("Failed to load model:",error2)).finally(()=>set$1(isLoadingModel,!1)))}function getDisplayOption(){if(!get$4(isRouter)){const displayModel=get$4(serverModel)||currentModel();return displayModel?{id:get$4(
+serverModel)?"current":"offline-current",model:displayModel,name:displayModel.split("/").pop()||displayModel,capabilities:[]}:void 0}if(useGlobalSelection()&&get$4(activeId)){const selected=get$4(options).find(option2=>option2.id===get$4(activeId));if(selected)return selected}if(currentModel())return get$4(isCurrentModelInCache)?get$4(options).find(option2=>option2.model===currentModel()):{id:"not-in-cache",model:currentModel(),name:currentModel().split("/").pop()||currentModel(),capabilities:[]};
+if(get$4(activeId))return get$4(options).find(option2=>option2.id===get$4(activeId))}var $$exports={open:open2},fragment=root$9(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$5(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},alternate_5=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_2=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(
+fragment_2);{var consequent_1=$$anchor4=>{var span=root_4$2(),node_4=child(span);Package(node_4,{class:"h-3.5 w-3.5"});var node_5=sibling(node_4,2);ModelId(node_5,{get modelId(){return currentModel()},class:"min-w-0",showOrgName:!0}),reset(span),template_effect($0=>set_class(span,1,$0),[()=>clsx(cn$1("inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground",className()))]),append($$anchor4,span)},alternate=$$anchor4=>{var p2=root_5$4();append(
+$$anchor4,p2)};if_block(node_3,$$render=>{currentModel()?$$render(consequent_1):$$render(alternate,!1)})}append($$anchor3,fragment_2)},alternate_4=$$anchor3=>{const selectedOption=user_derived(getDisplayOption);var fragment_3=comment$2(),node_6=first_child(fragment_3);{var consequent_7=$$anchor4=>{var fragment_4=comment$2(),node_7=first_child(fragment_4);component(node_7,()=>Root$2,($$anchor5,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor5,{onOpenChange:handleOpenChange,get open(){return get$4(
+isOpen)},set open($$value){set$1(isOpen,$$value,!0)},children:($$anchor6,$$slotProps)=>{var fragment_5=root_8$3(),node_8=first_child(fragment_5);{let $0=user_derived(()=>cn$1("inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60",get$4(isCurrentModelInCache)?
+forceForegroundText()||get$4(isHighlightedCurrentModelActive)?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$4(isOpen)?"text-foreground":"")),$1=user_derived(()=>disabled()||get$4(updating));component(node_8,()=>Dropdown_menu_trigger,($$anchor7,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor7,{get class(){return get$4($0)},style:"max-width: min(calc(100cqw - 9rem), 20rem)",get disabled(){return get$4($1)},children:($$anchor8,$$slotProps2)=>{
+var fragment_6=root_9$3(),node_9=first_child(fragment_6);Package(node_9,{class:"h-3.5 w-3.5"});var node_10=sibling(node_9,2);{var consequent_3=$$anchor9=>{var fragment_7=comment$2(),node_11=first_child(fragment_7);component(node_11,()=>Root$5,($$anchor10,Tooltip_Root)=>{Tooltip_Root($$anchor10,{children:($$anchor11,$$slotProps3)=>{var fragment_8=root_11$2(),node_12=first_child(fragment_8);{const child2=($$anchor12,$$arg0)=>{ModelId($$anchor12,spread_props({get modelId(){return get$4(selectedOption).
+model},class:"min-w-0 overflow-hidden",showOrgName:!0},()=>$$arg0?.().props))};component(node_12,()=>Tooltip_trigger,($$anchor12,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor12,{child:child2,$$slots:{child:!0}})})}var node_13=sibling(node_12,2);component(node_13,()=>Tooltip_content,($$anchor12,Tooltip_Content)=>{Tooltip_Content($$anchor12,{children:($$anchor13,$$slotProps4)=>{var p_1=root_13$2(),text2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text2,get$4(selectedOption).model)),append(
+$$anchor13,p_1)},$$slots:{default:!0}})}),append($$anchor11,fragment_8)},$$slots:{default:!0}})}),append($$anchor9,fragment_7)},alternate_1=$$anchor9=>{var span_1=root_14$1();append($$anchor9,span_1)};if_block(node_10,$$render=>{get$4(selectedOption)?$$render(consequent_3):$$render(alternate_1,!1)})}var node_14=sibling(node_10,2);{var consequent_4=$$anchor9=>{Loader_circle($$anchor9,{class:"h-3 w-3.5 animate-spin"})},alternate_2=$$anchor9=>{Chevron_down($$anchor9,{class:"h-3 w-3.5"})};if_block(node_14,
+$$render=>{get$4(updating)||get$4(isLoadingModel)?$$render(consequent_4):$$render(alternate_2,!1)})}append($$anchor8,fragment_6)},$$slots:{default:!0}})})}var node_15=sibling(node_8,2);component(node_15,()=>Dropdown_menu_content,($$anchor7,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor7,{align:"end",class:"w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]",children:($$anchor8,$$slotProps2)=>{{let $0=user_derived(()=>get$4(filteredOptions).length===0&&get$4(isCurrentModelInCache));
+DropdownMenuSearchable($$anchor8,{placeholder:"Search models...",onSearchKeyDown:handleSearchKeyDown,emptyMessage:"No models found.",get isEmpty(){return get$4($0)},get searchValue(){return get$4(searchTerm)},set searchValue($$value){set$1(searchTerm,$$value,!0)},children:($$anchor9,$$slotProps3)=>{var div_2=root_18$1();{const modelOption=($$anchor10,item=noop$3,showOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2,flatIndex}=item();return{option:option2,flatIndex}}),
+isSelected=user_derived(()=>currentModel()===get$4(computed_const).option.model||get$4(activeId)===get$4(computed_const).option.id),isHighlighted=user_derived(()=>get$4(computed_const).flatIndex===get$4(highlightedIndex)),isFav=user_derived(()=>modelsStore.favoriteModelIds.has(get$4(computed_const).option.model));ModelsSelectorOption($$anchor10,{get option(){return get$4(computed_const).option},get isSelected(){return get$4(isSelected)},get isHighlighted(){return get$4(isHighlighted)},get isFav(){
+return get$4(isFav)},get showOrgName(){return showOrgName()},onSelect:handleSelect,onInfoClick:handleInfoClick,onMouseEnter:()=>set$1(highlightedIndex,get$4(computed_const).flatIndex,!0),onKeyDown:e=>{(e.key===KeyboardKey.ENTER||e.key===KeyboardKey.SPACE)&&(e.preventDefault(),handleSelect(get$4(computed_const).option.id))}})};var node_16=child(div_2);{var consequent_5=$$anchor10=>{var button=root_20$1(),node_17=child(button);ModelId(node_17,{get modelId(){return currentModel()},class:"flex-1",showOrgName:!0}),
+next$1(2),reset(button),append($$anchor10,button)};if_block(node_16,$$render=>{!get$4(isCurrentModelInCache)&&currentModel()&&$$render(consequent_5)})}var node_18=sibling(node_16,2);{var consequent_6=$$anchor10=>{var p_2=root_21$1();append($$anchor10,p_2)};if_block(node_18,$$render=>{get$4(filteredOptions).length===0&&$$render(consequent_6)})}var node_19=sibling(node_18,2);ModelsSelectorList(node_19,{get groups(){return get$4(groupedFilteredOptions)},get currentModel(){return currentModel()},get activeId(){
+return get$4(activeId)},sectionHeaderClass:"my-1.5 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none",onSelect:handleSelect,onInfoClick:handleInfoClick,get renderOption(){return modelOption}}),reset(div_2)}append($$anchor9,div_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})}),append($$anchor6,fragment_5)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},alternate_3=$$anchor4=>{var button_1=root_22$1();button_1.__click=()=>handleOpenChange(!0);var node_20=child(button_1);
+Package(node_20,{class:"h-3.5 w-3.5"});var node_21=sibling(node_20,2);{var consequent_8=$$anchor5=>{var fragment_14=comment$2(),node_22=first_child(fragment_14);component(node_22,()=>Root$5,($$anchor6,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor6,{children:($$anchor7,$$slotProps)=>{var fragment_15=root_24(),node_23=first_child(fragment_15);{const child2=($$anchor8,$$arg0)=>{ModelId($$anchor8,spread_props({get modelId(){return get$4(selectedOption).model},class:"min-w-0 overflow-hidden",showOrgName:!0},
+()=>$$arg0?.().props))};component(node_23,()=>Tooltip_trigger,($$anchor8,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor8,{child:child2,$$slots:{child:!0}})})}var node_24=sibling(node_23,2);component(node_24,()=>Tooltip_content,($$anchor8,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor8,{children:($$anchor9,$$slotProps2)=>{var p_3=root_26(),text_1=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_1,get$4(selectedOption).model)),append($$anchor9,p_3)},$$slots:{default:!0}})}),append($$anchor7,
+fragment_15)},$$slots:{default:!0}})}),append($$anchor5,fragment_14)};if_block(node_21,$$render=>{get$4(selectedOption)&&$$render(consequent_8)})}var node_25=sibling(node_21,2);{var consequent_9=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3.5 animate-spin"})};if_block(node_25,$$render=>{get$4(updating)&&$$render(consequent_9)})}reset(button_1),template_effect($0=>{set_class(button_1,1,$0),button_1.disabled=disabled()||get$4(updating)},[()=>clsx(cn$1("inline-flex cursor-pointer items-center\
+ gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60",get$4(isCurrentModelInCache)?forceForegroundText()||get$4(isHighlightedCurrentModelActive)?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$4(isOpen)?"text-foreground":""))]),append($$anchor4,button_1)};
+if_block(node_6,$$render=>{get$4(isRouter)?$$render(consequent_7):$$render(alternate_3,!1)})}append($$anchor3,fragment_3)};if_block(node_2,$$render=>{get$4(options).length===0&&get$4(isRouter)?$$render(consequent_2):$$render(alternate_4,!1)},!0)}append($$anchor2,fragment_1)};if_block(node2,$$render=>{get$4(loading)&&get$4(options).length===0&&get$4(isRouter)?$$render(consequent):$$render(alternate_5,!1)})}reset(div);var node_26=sibling(div,2);{var consequent_10=$$anchor2=>{DialogModelInformation(
+$$anchor2,{get modelId(){return get$4(infoModelId)},get open(){return get$4(showModelDialog)},set open($$value){set$1(showModelDialog,$$value,!0)}})};if_block(node_26,$$render=>{get$4(showModelDialog)&&$$render(consequent_10)})}return template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("relative inline-flex flex-col items-end gap-1",className()))]),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_2$6=from_html("<p>Loaded models</p> <!>",1),root_4$1=from_html("<p>Favorite \
+models</p> <!>",1),root_8$2=from_html("<p> </p>"),root_7$3=from_html("<!> <!>",1),root_6$3=from_html("<p>Available models</p> <!>",1),root$8=from_html("<!> <!> <!>",1);function ModelsSelectorList($$anchor,$$props){push$1($$props,!0);const defaultOption=($$anchor2,item=noop$3,showOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2}=item();return{option:option2}}),isSelected=user_derived(()=>$$props.currentModel===get$4(computed_const).option.model||$$props.activeId===get$4(
+computed_const).option.id),isFav=user_derived(()=>modelsStore.favoriteModelIds.has(get$4(computed_const).option.model));ModelsSelectorOption($$anchor2,{get option(){return get$4(computed_const).option},get isSelected(){return get$4(isSelected)},isHighlighted:!1,get isFav(){return get$4(isFav)},get showOrgName(){return showOrgName()},get onSelect(){return $$props.onSelect},get onInfoClick(){return $$props.onInfoClick},onMouseEnter:()=>{},onKeyDown:()=>{}})};let sectionHeaderClass=prop($$props,"se\
+ctionHeaderClass",3,"my-1 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none"),orgHeaderClass=prop($$props,"orgHeaderClass",3,"px-2 py-2 text-[11px] font-semibold text-muted-foreground/50 select-none [&:not(:first-child)]:mt-1"),render3=user_derived(()=>$$props.renderOption??defaultOption);var fragment_1=root$8(),node2=first_child(fragment_1);{var consequent=$$anchor2=>{var fragment_2=root_2$6(),p2=first_child(fragment_2),node_1=sibling(p2,2);each(node_1,17,()=>$$props.groups.
+loaded,item=>`loaded-${item.option.id}`,($$anchor3,item)=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);snippet(node_2,()=>get$4(render3),()=>get$4(item),()=>!0),append($$anchor3,fragment_3)}),template_effect(()=>set_class(p2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_2)};if_block(node2,$$render=>{$$props.groups.loaded.length>0&&$$render(consequent)})}var node_3=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_4=root_4$1(),p_1=first_child(fragment_4),node_4=sibling(
+p_1,2);each(node_4,17,()=>$$props.groups.favorites,item=>`fav-${item.option.id}`,($$anchor3,item)=>{var fragment_5=comment$2(),node_5=first_child(fragment_5);snippet(node_5,()=>get$4(render3),()=>get$4(item),()=>!0),append($$anchor3,fragment_5)}),template_effect(()=>set_class(p_1,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_4)};if_block(node_3,$$render=>{$$props.groups.favorites.length>0&&$$render(consequent_1)})}var node_6=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_6=root_6$3(),
+p_2=first_child(fragment_6),node_7=sibling(p_2,2);each(node_7,17,()=>$$props.groups.available,group=>group.orgName,($$anchor3,group)=>{var fragment_7=root_7$3(),node_8=first_child(fragment_7);{var consequent_2=$$anchor4=>{var p_3=root_8$2(),text2=child(p_3,!0);reset(p_3),template_effect(()=>{set_class(p_3,1,clsx(orgHeaderClass())),set_text(text2,get$4(group).orgName)}),append($$anchor4,p_3)};if_block(node_8,$$render=>{get$4(group).orgName&&$$render(consequent_2)})}var node_9=sibling(node_8,2);each(
+node_9,17,()=>get$4(group).items,item=>item.option.id,($$anchor4,item)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8);snippet(node_10,()=>get$4(render3),()=>get$4(item),()=>!1),append($$anchor4,fragment_8)}),append($$anchor3,fragment_7)}),template_effect(()=>set_class(p_2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_6)};if_block(node_6,$$render=>{$$props.groups.available.length>0&&$$render(consequent_3)})}append($$anchor,fragment_1),pop()}var root_6$2=from_html('<div cl\
+ass="flex w-4 items-center justify-center"><!>  <div class="hidden group-hover:flex"><!></div></div>'),root_8$1=from_html('<div class="flex w-4 items-center justify-center"><span class="h-2 w-2 rounded-full bg-orange-400 group-hover:hidden"></span> <div class="hidden group-hover:flex"><!></div></div>'),root_10$3=from_html('<div class="flex w-4 items-center justify-center"><span class="h-2 w-2 rounded-full bg-green-500 group-hover:hidden"></span>  <div class="hidden group-hover:flex"><!></div></d\
+iv>'),root_11$1=from_html('<div class="flex w-4 items-center justify-center"><span class="h-2 w-2 rounded-full bg-muted-foreground/50 group-hover:hidden"></span>  <div class="hidden group-hover:flex"><!></div></div>'),root$7=from_html('<div role="option" tabindex="0"><!> <div class="flex shrink-0 items-center gap-1"><div class="pointer-events-none flex items-center justify-center gap-0.75 pl-2 opacity-0 group-hover:pointer-events-auto group-hover:opacity-100"><!> <!></div> <!></div></div>');function ModelsSelectorOption($$anchor,$$props){
+push$1($$props,!0);let showOrgName=prop($$props,"showOrgName",3,!1),currentRouterModels=user_derived(routerModels),serverStatus=user_derived(()=>get$4(currentRouterModels).find(m=>m.id===$$props.option.model)?.status?.value??null),isOperationInProgress=user_derived(()=>modelsStore.isModelOperationInProgress($$props.option.model)),isFailed=user_derived(()=>get$4(serverStatus)===ServerModelStatus.FAILED),isSleeping=user_derived(()=>get$4(serverStatus)===ServerModelStatus.SLEEPING),isLoaded=user_derived(
+()=>(get$4(serverStatus)===ServerModelStatus.LOADED||get$4(isSleeping))&&!get$4(isOperationInProgress)),isLoading2=user_derived(()=>get$4(serverStatus)===ServerModelStatus.LOADING||get$4(isOperationInProgress));var div=root$7();div.__click=()=>$$props.onSelect($$props.option.id),div.__keydown=function(...$$args){$$props.onKeyDown?.apply(this,$$args)};var node2=child(div);ModelId(node2,{get modelId(){return $$props.option.model},get showOrgName(){return showOrgName()},get aliases(){return $$props.
+option.aliases},get tags(){return $$props.option.tags},class:"flex-1"});var div_1=sibling(node2,2),div_2=child(div_1);div_2.__click=e=>e.stopPropagation();var node_1=child(div_2);{var consequent=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart_off},tooltip:"Remove from favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})},alternate=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart},
+tooltip:"Add to favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})};if_block(node_1,$$render=>{$$props.isFav?$$render(consequent):$$render(alternate,!1)})}var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Info$1},tooltip:"Model information",class:"h-3 w-3 hover:text-foreground",onclick:()=>$$props.onInfoClick($$props.option.model)})};if_block(node_2,$$render=>{get$4(
+isLoaded)&&$$props.onInfoClick&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{Loader_circle($$anchor2,{class:"h-4 w-4 animate-spin text-muted-foreground"})},alternate_4=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);{var consequent_3=$$anchor3=>{var div_3=root_6$2(),node_5=child(div_3);Circle_alert(node_5,{class:"h-3.5 w-3.5 text-red-500 group-hover:hidden"});var div_4=sibling(node_5,2);div_4.__click=e=>e.stopPropagation();
+var node_6=child(div_4);ActionIcon(node_6,{iconSize:"h-2.5 w-2.5",get icon(){return Rotate_cw},tooltip:"Retry loading model",class:"h-3 w-3 text-red-500 hover:text-foreground",onclick:()=>modelsStore.loadModel($$props.option.model)}),reset(div_4),reset(div_3),append($$anchor3,div_3)},alternate_3=$$anchor3=>{var fragment_5=comment$2(),node_7=first_child(fragment_5);{var consequent_4=$$anchor4=>{var div_5=root_8$1(),div_6=sibling(child(div_5),2),node_8=child(div_6);ActionIcon(node_8,{iconSize:"h-2\
+.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:e=>{e?.stopPropagation(),modelsStore.unloadModel($$props.option.model)}}),reset(div_6),reset(div_5),append($$anchor4,div_5)},alternate_2=$$anchor4=>{var fragment_6=comment$2(),node_9=first_child(fragment_6);{var consequent_5=$$anchor5=>{var div_7=root_10$3(),div_8=sibling(child(div_7),2);div_8.__click=e=>e.stopPropagation();var node_10=child(div_8);ActionIcon(node_10,{iconSize:"h\
+-2.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:()=>modelsStore.unloadModel($$props.option.model)}),reset(div_8),reset(div_7),append($$anchor5,div_7)},alternate_1=$$anchor5=>{var div_9=root_11$1(),div_10=sibling(child(div_9),2);div_10.__click=e=>e.stopPropagation();var node_11=child(div_10);ActionIcon(node_11,{iconSize:"h-2.5 w-2.5",get icon(){return Power},tooltip:"Load model",class:"h-3 w-3",onclick:()=>modelsStore.loadModel(
+$$props.option.model)}),reset(div_10),reset(div_9),append($$anchor5,div_9)};if_block(node_9,$$render=>{get$4(isLoaded)?$$render(consequent_5):$$render(alternate_1,!1)},!0)}append($$anchor4,fragment_6)};if_block(node_7,$$render=>{get$4(isSleeping)?$$render(consequent_4):$$render(alternate_2,!1)},!0)}append($$anchor3,fragment_5)};if_block(node_4,$$render=>{get$4(isFailed)?$$render(consequent_3):$$render(alternate_3,!1)},!0)}append($$anchor2,fragment_4)};if_block(node_3,$$render=>{get$4(isLoading2)?
+$$render(consequent_2):$$render(alternate_4,!1)})}reset(div_1),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"aria-selected",$$props.isSelected||$$props.isHighlighted)},[()=>clsx(cn$1("group flex w-full items-center gap-2 rounded-sm p-2 text-left text-sm transition focus:outline-none","cursor-pointer hover:bg-muted focus:bg-muted",$$props.isSelected||$$props.isHighlighted?"bg-accent text-accent-foreground":"hover:bg-accent hover:text-accent-foreground",get$4(isLoaded)?"te\
+xt-popover-foreground":"text-muted-foreground"))]),event("mouseenter",div,function(...$$args){$$props.onMouseEnter?.apply(this,$$args)}),append($$anchor,div),pop()}delegate(["click","keydown"]);var root_1$4=from_html('<div class="flex items-center gap-2 text-xs text-muted-foreground"><!> Loading models…</div>'),root_3$3=from_html('<p class="text-xs text-muted-foreground">No models available.</p>'),root_10$2=from_html("<!> <!>",1),root_13$1=from_html('<button type="button" class="flex w-full cu\
+rsor-not-allowed items-center rounded-md bg-red-400/10 px-3 py-2.5 text-left text-sm text-red-400" disabled><span class="min-w-0 flex-1 truncate"> </span> <span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span></button> <div class="my-1 h-px bg-border"></div>',1),root_14=from_html('<p class="px-3 py-3 text-center text-sm text-muted-foreground">No models found.</p>'),root_9$2=from_html('<!> <div class="flex flex-col gap-1 pb-4"><div class="mb-3 px-4"><!></div> <div class="m\
+ax-h-[60vh] overflow-y-auto px-2"><!> <!> <!></div></div>',1),root_5$3=from_html('<button type="button" style="max-width: min(calc(100cqw - 9rem), 20rem)"><!> <!> <!></button> <!>',1),root_15=from_html('<button style="max-width: min(calc(100cqw - 6.5rem), 32rem)"><!> <!> <!></button>'),root$6=from_html("<div><!></div> <!>",1);function ModelsSelectorSheet($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop($$props,"currentModel",3,null),disabled=prop($$props,
+"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),options=user_derived(()=>modelOptions().filter(option2=>modelsStore.getModelProps(option2.model)?.webui!==!1)),loading=user_derived(modelsLoading),updating=user_derived(modelsUpdating),activeId=user_derived(selectedModelId),isRouter=user_derived(isRouterMode),serverModel=user_derived(singleModelName),isLoadingModel=state$1(!1),isHighlightedCurrentModelActive=user_derived(
+()=>!get$4(isRouter)||!currentModel()?!1:(()=>{const currentOption=get$4(options).find(option2=>option2.model===currentModel());return currentOption?currentOption.id===get$4(activeId):!1})()),isCurrentModelInCache=user_derived(()=>!get$4(isRouter)||!currentModel()?!0:get$4(options).some(option2=>option2.model===currentModel())),searchTerm=state$1(""),filteredOptions=user_derived(()=>filterModelOptions(get$4(options),get$4(searchTerm))),groupedFilteredOptions=user_derived(()=>groupModelOptions(get$4(
+filteredOptions),modelsStore.favoriteModelIds,m=>modelsStore.isModelLoaded(m))),sheetOpen=state$1(!1),showModelDialog=state$1(!1),infoModelId=state$1(null);function handleInfoClick(modelName){set$1(infoModelId,modelName,!0),set$1(showModelDialog,!0)}onMount$1(()=>{modelsStore.fetch().catch(error2=>{console.error("Unable to load models:",error2)})});function handleOpenChange(open3){get$4(loading)||get$4(updating)||(get$4(isRouter)?open3?(set$1(sheetOpen,!0),set$1(searchTerm,""),modelsStore.fetchRouterModels().
+then(()=>{modelsStore.fetchModalitiesForLoadedModels()})):(set$1(sheetOpen,!1),set$1(searchTerm,"")):set$1(showModelDialog,open3,!0))}function open2(){handleOpenChange(!0)}function handleSheetOpenChange(open3){open3||handleOpenChange(!1)}async function handleSelect(modelId){const option2=get$4(options).find(opt=>opt.id===modelId);if(!option2)return;let shouldCloseMenu=!0;$$props.onModelChange?await $$props.onModelChange(option2.id,option2.model)===!1&&(shouldCloseMenu=!1):await modelsStore.selectModelById(
+option2.id),shouldCloseMenu&&(handleOpenChange(!1),requestAnimationFrame(()=>{document.querySelector('[data-slot="chat-form"] textarea')?.focus()})),!$$props.onModelChange&&get$4(isRouter)&&!modelsStore.isModelLoaded(option2.model)&&(set$1(isLoadingModel,!0),modelsStore.loadModel(option2.model).catch(error2=>console.error("Failed to load model:",error2)).finally(()=>set$1(isLoadingModel,!1)))}function getDisplayOption(){if(!get$4(isRouter))return get$4(serverModel)?{id:"current",model:get$4(serverModel),
+name:get$4(serverModel).split("/").pop()||get$4(serverModel),capabilities:[]}:void 0;if(useGlobalSelection()&&get$4(activeId)){const selected=get$4(options).find(option2=>option2.id===get$4(activeId));if(selected)return selected}if(currentModel())return get$4(isCurrentModelInCache)?get$4(options).find(option2=>option2.model===currentModel()):{id:"not-in-cache",model:currentModel(),name:currentModel().split("/").pop()||currentModel(),capabilities:[]};if(get$4(activeId))return get$4(options).find(
+option2=>option2.id===get$4(activeId))}var $$exports={open:open2},fragment=root$6(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$4(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},alternate_3=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_1=$$anchor3=>{var p2=root_3$3();append($$anchor3,p2)},alternate_2=$$anchor3=>{const selectedOption=user_derived(
+getDisplayOption);var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent_5=$$anchor4=>{var fragment_3=root_5$3(),button=first_child(fragment_3);button.__click=()=>handleOpenChange(!0);var node_4=child(button);Package(node_4,{class:"h-3.5 w-3.5"});var node_5=sibling(node_4,2);{let $0=user_derived(()=>get$4(selectedOption)?.model||"Select model");TruncatedText(node_5,{get text(){return get$4($0)},class:"min-w-0 font-medium"})}var node_6=sibling(node_5,2);{var consequent_2=$$anchor5=>{
+Loader_circle($$anchor5,{class:"h-3 w-3.5 animate-spin"})},alternate=$$anchor5=>{Chevron_down($$anchor5,{class:"h-3 w-3.5"})};if_block(node_6,$$render=>{get$4(updating)||get$4(isLoadingModel)?$$render(consequent_2):$$render(alternate,!1)})}reset(button);var node_7=sibling(button,2);component(node_7,()=>Root$1,($$anchor5,Sheet_Root)=>{Sheet_Root($$anchor5,{onOpenChange:handleSheetOpenChange,get open(){return get$4(sheetOpen)},set open($$value){set$1(sheetOpen,$$value,!0)},children:($$anchor6,$$slotProps)=>{
+var fragment_6=comment$2(),node_8=first_child(fragment_6);component(node_8,()=>Sheet_content,($$anchor7,Sheet_Content)=>{Sheet_Content($$anchor7,{side:"bottom",class:"max-h-[85vh] gap-1",children:($$anchor8,$$slotProps2)=>{var fragment_7=root_9$2(),node_9=first_child(fragment_7);component(node_9,()=>Sheet_header,($$anchor9,Sheet_Header)=>{Sheet_Header($$anchor9,{children:($$anchor10,$$slotProps3)=>{var fragment_8=root_10$2(),node_10=first_child(fragment_8);component(node_10,()=>Sheet_title,($$anchor11,Sheet_Title)=>{
+Sheet_Title($$anchor11,{children:($$anchor12,$$slotProps4)=>{next$1();var text2=text$8("Select Model");append($$anchor12,text2)},$$slots:{default:!0}})});var node_11=sibling(node_10,2);component(node_11,()=>Sheet_description,($$anchor11,Sheet_Description)=>{Sheet_Description($$anchor11,{class:"sr-only",children:($$anchor12,$$slotProps4)=>{next$1();var text_1=text$8("Choose a model to use for the conversation");append($$anchor12,text_1)},$$slots:{default:!0}})}),append($$anchor10,fragment_8)},$$slots:{
+default:!0}})});var div_2=sibling(node_9,2),div_3=child(div_2),node_12=child(div_3);SearchInput(node_12,{placeholder:"Search models...",get value(){return get$4(searchTerm)},set value($$value){set$1(searchTerm,$$value,!0)}}),reset(div_3);var div_4=sibling(div_3,2),node_13=child(div_4);{var consequent_3=$$anchor9=>{var fragment_9=root_13$1(),button_1=first_child(fragment_9),span=child(button_1),text_2=child(span,!0);reset(span),next$1(2),reset(button_1),next$1(2),template_effect(()=>set_text(text_2,
+get$4(selectedOption)?.name||currentModel())),append($$anchor9,fragment_9)};if_block(node_13,$$render=>{!get$4(isCurrentModelInCache)&&currentModel()&&$$render(consequent_3)})}var node_14=sibling(node_13,2);{var consequent_4=$$anchor9=>{var p_1=root_14();append($$anchor9,p_1)};if_block(node_14,$$render=>{get$4(filteredOptions).length===0&&$$render(consequent_4)})}var node_15=sibling(node_14,2);ModelsSelectorList(node_15,{get groups(){return get$4(groupedFilteredOptions)},get currentModel(){return currentModel()},
+get activeId(){return get$4(activeId)},sectionHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none",orgHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2",onSelect:handleSelect,onInfoClick:handleInfoClick}),reset(div_4),reset(div_2),append($$anchor8,fragment_7)},$$slots:{default:!0}})}),append($$anchor6,fragment_6)},$$slots:{default:!0}})}),template_effect($0=>{set_class(button,1,$0),button.disabled=disabled()||
+get$4(updating)},[()=>clsx(cn$1("inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60",get$4(isCurrentModelInCache)?forceForegroundText()||get$4(isHighlightedCurrentModelActive)?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hove\
+r:bg-red-400/20 hover:text-red-400",get$4(sheetOpen)?"text-foreground":""))]),append($$anchor4,fragment_3)},alternate_1=$$anchor4=>{var button_2=root_15();button_2.__click=()=>handleOpenChange(!0);var node_16=child(button_2);Package(node_16,{class:"h-3.5 w-3.5"});var node_17=sibling(node_16,2);{let $0=user_derived(()=>get$4(selectedOption)?.model||"");TruncatedText(node_17,{get text(){return get$4($0)},class:"min-w-0 font-medium"})}var node_18=sibling(node_17,2);{var consequent_6=$$anchor5=>{Loader_circle(
+$$anchor5,{class:"h-3 w-3.5 animate-spin"})};if_block(node_18,$$render=>{get$4(updating)&&$$render(consequent_6)})}reset(button_2),template_effect($0=>{set_class(button_2,1,$0),button_2.disabled=disabled()||get$4(updating)},[()=>clsx(cn$1("inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disab\
+led:opacity-60",get$4(isCurrentModelInCache)?forceForegroundText()||get$4(isHighlightedCurrentModelActive)?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400"))]),append($$anchor4,button_2)};if_block(node_3,$$render=>{get$4(isRouter)?$$render(consequent_5):$$render(alternate_1,!1)})}append($$anchor3,fragment_2)};if_block(node_2,$$render=>{get$4(options).length===0&&get$4(isRouter)?$$render(consequent_1):$$render(alternate_2,!1)},!0)}append(
+$$anchor2,fragment_1)};if_block(node2,$$render=>{get$4(loading)&&get$4(options).length===0&&get$4(isRouter)?$$render(consequent):$$render(alternate_3,!1)})}reset(div);var node_19=sibling(div,2);{var consequent_7=$$anchor2=>{DialogModelInformation($$anchor2,{get modelId(){return get$4(infoModelId)},get open(){return get$4(showModelDialog)},set open($$value){set$1(showModelDialog,$$value,!0)}})};if_block(node_19,$$render=>{get$4(showModelDialog)&&$$render(consequent_7)})}return template_effect($0=>set_class(
+div,1,$0),[()=>clsx(cn$1("relative inline-flex flex-col items-end gap-1",className()))]),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_4=from_html("<span> </span>"),root_5$2=from_html("<span> </span>"),root_7$2=from_html("<span> </span>"),root_9$1=from_html("<span> </span>"),root_2$5=from_html('<span><span class="min-w-0 truncate font-medium"><!> </span> <!> <!> <!> <!></span>');function ModelId($$anchor,$$props){push$1($$props,!0);let showOrgName=prop($$props,"showOrgNam\
+e",3,!1),showRaw=prop($$props,"showRaw",3,void 0),className=prop($$props,"class",3,""),rest=rest_props($$props,["$$slots","$$events","$$legacy","modelId","showOrgName","showRaw","aliases","tags","class"]);const badgeClass="inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25",tagBadgeClass="inline-flex w-fit shrink-0 items-cente\
+r justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground";let parsed=user_derived(()=>ModelsService.parseModelId($$props.modelId)),resolvedShowRaw=user_derived(()=>showRaw()??config$1().showRawModelNames??!1),displayName=user_derived(()=>$$props.aliases&&$$props.aliases.length>0?$$props.aliases[0]:get$4(parsed).modelName??$$props.modelId),remainingAliases=user_derived(()=>$$props.aliases&&
+$$props.aliases.length>1?$$props.aliases.slice(1):[]),allTags=user_derived(()=>[...get$4(parsed).tags??[],...$$props.tags??[]]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{TruncatedText($$anchor2,spread_props({get class(){return`font-medium ${className()??""}`},showTooltip:!1,get text(){return $$props.modelId}},()=>rest))},alternate=$$anchor2=>{var span=root_2$5();attribute_effect(span,()=>({class:`flex min-w-0 flex-wrap items-center gap-1 ${className()??""}`,
+...rest}));var span_1=child(span),node_1=child(span_1);{var consequent_1=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,`${get$4(parsed).orgName??""}/`)),append($$anchor3,text2)};if_block(node_1,$$render=>{showOrgName()&&get$4(parsed).orgName&&!($$props.aliases&&$$props.aliases.length>0)&&$$render(consequent_1)})}var text_1=sibling(node_1,1,!0);reset(span_1);var node_2=sibling(span_1,2);{var consequent_2=$$anchor3=>{var span_2=root_4();set_class(span_2,1,clsx(badgeClass));var text_2=child(
+span_2);reset(span_2),template_effect(()=>set_text(text_2,`${get$4(parsed).params??""}${get$4(parsed).activatedParams?`-${get$4(parsed).activatedParams}`:""}`)),append($$anchor3,span_2)};if_block(node_2,$$render=>{get$4(parsed).params&&$$render(consequent_2)})}var node_3=sibling(node_2,2);{var consequent_3=$$anchor3=>{var span_3=root_5$2();set_class(span_3,1,clsx(badgeClass));var text_3=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_3,get$4(parsed).quantization)),append($$anchor3,
+span_3)};if_block(node_3,$$render=>{get$4(parsed).quantization&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);each(node_5,16,()=>get$4(remainingAliases),alias=>alias,($$anchor4,alias)=>{var span_4=root_7$2();set_class(span_4,1,clsx(badgeClass));var text_4=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_4,alias)),append($$anchor4,span_4)}),append($$anchor3,fragment_3)};if_block(node_4,
+$$render=>{get$4(remainingAliases).length>0&&$$render(consequent_4)})}var node_6=sibling(node_4,2);{var consequent_5=$$anchor3=>{var fragment_4=comment$2(),node_7=first_child(fragment_4);each(node_7,16,()=>get$4(allTags),tag=>tag,($$anchor4,tag)=>{var span_5=root_9$1();set_class(span_5,1,clsx(tagBadgeClass));var text_5=child(span_5,!0);reset(span_5),template_effect(()=>set_text(text_5,tag)),append($$anchor4,span_5)}),append($$anchor3,fragment_4)};if_block(node_6,$$render=>{get$4(allTags).length>
+0&&$$render(consequent_5)})}reset(span),template_effect(()=>set_text(text_1,get$4(displayName))),append($$anchor2,span)};if_block(node2,$$render=>{get$4(resolvedShowRaw)?$$render(consequent):$$render(alternate,!1)})}append($$anchor,fragment),pop()}var root_3$2=from_html("<!> <!>",1),root_8=from_html("<!> <!>",1);function ModelBadge($$anchor,$$props){push$1($$props,!0);const badgeContent=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},get onclick(){return $$props.onclick},icon:$$anchor3=>{
+Package($$anchor3,{class:"h-3 w-3"})},children:($$anchor3,$$slotProps)=>{var fragment_2=root_3$2(),node2=first_child(fragment_2);{var consequent=$$anchor4=>{ModelId($$anchor4,{get modelId(){return get$4(model)}})};if_block(node2,$$render=>{get$4(model)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor4=>{{let $0=user_derived(()=>get$4(model)||"");ActionIconCopyToClipboard($$anchor4,{get text(){return get$4($0)},ariaLabel:"Copy model name"})}};if_block(node_1,$$render=>{
+showCopyIcon()&&$$render(consequent_1)})}append($$anchor3,fragment_2)},$$slots:{icon:!0,default:!0}})};let className=prop($$props,"class",3,""),showCopyIcon=prop($$props,"showCopyIcon",3,!1),showTooltip=prop($$props,"showTooltip",3,!1),model=user_derived(()=>$$props.model||modelsStore.singleModelName),isModelMode=user_derived(()=>serverStore.isModelMode),shouldShow=user_derived(()=>get$4(model)&&($$props.model!==void 0||get$4(isModelMode)));var fragment_5=comment$2(),node_2=first_child(fragment_5);
+{var consequent_3=$$anchor2=>{var fragment_6=comment$2(),node_3=first_child(fragment_6);{var consequent_2=$$anchor3=>{var fragment_7=comment$2(),node_4=first_child(fragment_7);component(node_4,()=>Root$5,($$anchor4,Tooltip_Root)=>{Tooltip_Root($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_8=root_8(),node_5=first_child(fragment_8);component(node_5,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor6,{children:($$anchor7,$$slotProps2)=>{badgeContent($$anchor7)},
+$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Tooltip_content,($$anchor6,Tooltip_Content)=>{Tooltip_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.onclick?"Click for model details":get$4(model))),append($$anchor7,text2)},$$slots:{default:!0}})}),append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_7)},alternate=$$anchor3=>{badgeContent($$anchor3)};if_block(node_3,
+$$render=>{showTooltip()?$$render(consequent_2):$$render(alternate,!1)})}append($$anchor2,fragment_6)};if_block(node_2,$$render=>{get$4(shouldShow)&&$$render(consequent_3)})}append($$anchor,fragment_5),pop()}var root_1$3=from_html('<div class="px-2 py-3 text-center text-sm text-muted-foreground"> </div>'),root_2$4=from_html("<!> <!>",1),root$5=from_html('<div class="sticky top-0 z-10 mb-2 bg-popover p-1 pt-2"><!></div> <div class="overflow-y-auto"><!> <!></div> <!>',1);function DropdownMenuSearchable($$anchor,$$props){
+push$1($$props,!0);let placeholder=prop($$props,"placeholder",3,"Search..."),searchValue=prop($$props,"searchValue",15,""),emptyMessage=prop($$props,"emptyMessage",3,"No items found"),isEmpty=prop($$props,"isEmpty",3,!1);var fragment=root$5(),div=first_child(fragment),node2=child(div);SearchInput(node2,{get placeholder(){return placeholder()},get onInput(){return $$props.onSearchChange},get onKeyDown(){return $$props.onSearchKeyDown},get value(){return searchValue()},set value($$value){searchValue(
+$$value)}}),reset(div);var div_1=sibling(div,2),node_1=child(div_1);snippet(node_1,()=>$$props.children);var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var div_2=root_1$3(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor2,div_2)};if_block(node_2,$$render=>{isEmpty()&&$$render(consequent)})}reset(div_1);var node_3=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment_1=root_2$4(),node_4=first_child(fragment_1);component(node_4,
+()=>Dropdown_menu_separator,($$anchor3,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor3,{})});var node_5=sibling(node_4,2);snippet(node_5,()=>$$props.footer),append($$anchor2,fragment_1)};if_block(node_3,$$render=>{$$props.footer&&$$render(consequent_1)})}append($$anchor,fragment),pop()}const iconComponent=($$anchor,IconComponent=noop$3,className=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,
+{get class(){return className()}})}),append($$anchor,fragment)};var root_6$1=from_html('<!> <span class="sr-only"> </span>',1),root_7$1=from_html("<p> </p>"),root_5$1=from_html("<!> <!>",1),root_12=from_html('<div class="flex items-center gap-2"><!> </div> <!>',1),root_10$1=from_html("<!> <!>",1),root_2$3=from_html("<!> <!>",1);function DropdownMenuActions($$anchor,$$props){push$1($$props,!0);let triggerClass=prop($$props,"triggerClass",3,""),align=prop($$props,"align",3,"end"),open2=prop($$props,
+"open",15,!1);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$2,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_2=root_2$3(),node_2=first_child(fragment_2);component(node_2,()=>Dropdown_menu_trigger,($$anchor4,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor4,{get class(){return`flex h-6 w-6 cursor-pointer items-center justify-center r\
+ounded-md p-0 text-sm font-medium transition-colors hover:bg-accent hover:text-accent-foreground focus:bg-accent focus:text-accent-foreground focus:outline-none disabled:pointer-events-none disabled:opacity-50 data-[state=open]:bg-accent data-[state=open]:text-accent-foreground ${triggerClass()??""}`},onclick:e=>e.stopPropagation(),children:($$anchor5,$$slotProps2)=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);{var consequent=$$anchor6=>{var fragment_4=comment$2(),node_4=first_child(
+fragment_4);component(node_4,()=>Root$5,($$anchor7,Tooltip_Root)=>{Tooltip_Root($$anchor7,{children:($$anchor8,$$slotProps3)=>{var fragment_5=root_5$1(),node_5=first_child(fragment_5);component(node_5,()=>Tooltip_trigger,($$anchor9,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor9,{children:($$anchor10,$$slotProps4)=>{var fragment_6=root_6$1(),node_6=first_child(fragment_6);iconComponent(node_6,()=>$$props.triggerIcon,()=>"h-3 w-3");var span=sibling(node_6,2),text2=child(span,!0);reset(span),template_effect(
+()=>set_text(text2,$$props.triggerTooltip)),append($$anchor10,fragment_6)},$$slots:{default:!0}})});var node_7=sibling(node_5,2);component(node_7,()=>Tooltip_content,($$anchor9,Tooltip_Content)=>{Tooltip_Content($$anchor9,{children:($$anchor10,$$slotProps4)=>{var p2=root_7$1(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,$$props.triggerTooltip)),append($$anchor10,p2)},$$slots:{default:!0}})}),append($$anchor8,fragment_5)},$$slots:{default:!0}})}),append($$anchor6,fragment_4)},
+alternate=$$anchor6=>{iconComponent($$anchor6,()=>$$props.triggerIcon,()=>"h-3 w-3")};if_block(node_3,$$render=>{$$props.triggerTooltip?$$render(consequent):$$render(alternate,!1)})}append($$anchor5,fragment_3)},$$slots:{default:!0}})});var node_8=sibling(node_2,2);component(node_8,()=>Dropdown_menu_content,($$anchor4,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor4,{get align(){return align()},class:"z-[999999] w-48",children:($$anchor5,$$slotProps2)=>{var fragment_8=comment$2(),node_9=first_child(
+fragment_8);each(node_9,19,()=>$$props.actions,action2=>action2.label,($$anchor6,action2,index2)=>{var fragment_9=root_10$1(),node_10=first_child(fragment_9);{var consequent_1=$$anchor7=>{var fragment_10=comment$2(),node_11=first_child(fragment_10);component(node_11,()=>Dropdown_menu_separator,($$anchor8,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor8,{})}),append($$anchor7,fragment_10)};if_block(node_10,$$render=>{get$4(action2).separator&&get$4(index2)>0&&$$render(consequent_1)})}var node_12=sibling(
+node_10,2);component(node_12,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor7,{get onclick(){return get$4(action2).onclick},get variant(){return get$4(action2).variant},get disabled(){return get$4(action2).disabled},class:"flex items-center justify-between hover:[&>kbd]:opacity-100",children:($$anchor8,$$slotProps3)=>{var fragment_11=root_12(),div=first_child(fragment_11),node_13=child(div);iconComponent(node_13,()=>get$4(action2).icon,()=>`h-4 w-4 ${get$4(action2).
+variant==="destructive"?"text-destructive":""}`);var text_2=sibling(node_13);reset(div);var node_14=sibling(div,2);{var consequent_2=$$anchor9=>{KeyboardShortcutInfo($$anchor9,{get keys(){return get$4(action2).shortcut},get variant(){return get$4(action2).variant}})};if_block(node_14,$$render=>{get$4(action2).shortcut&&$$render(consequent_2)})}template_effect(()=>set_text(text_2,` ${get$4(action2).label??""}`)),append($$anchor8,fragment_11)},$$slots:{default:!0}})}),append($$anchor6,fragment_9)}),
+append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)},$$slots:{default:!0}})}),append($$anchor,fragment_1),pop()}var root_2$2=from_html("<!> ",1),root_1$2=from_html("<!> <!>",1),root_6=from_html("<!> ",1),root$4=from_html('<div><div class="flex items-center space-x-2"><div></div> <span class="text-sm text-muted-foreground"> </span></div> <!> <!></div>');function ServerStatus($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showActions=prop(
+$$props,"showActions",3,!1),error2=user_derived(serverError),loading=user_derived(serverLoading),model=user_derived(singleModelName),serverData=user_derived(serverProps);function getStatusColor(){return get$4(loading)?"bg-yellow-500":get$4(error2)?"bg-red-500":get$4(serverData)?"bg-green-500":"bg-gray-500"}function getStatusText(){return get$4(loading)?"Connecting...":get$4(error2)?"Connection Error":get$4(serverData)?"Connected":"Unknown"}var div=root$4(),div_1=child(div),div_2=child(div_1),span=sibling(
+div_2,2),text2=child(span,!0);reset(span),reset(div_1);var node2=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment=root_1$2(),node_1=first_child(fragment);Badge(node_1,{variant:"outline",class:"text-xs",children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$2(),node_2=first_child(fragment_1);Server(node_2,{class:"mr-1 h-3 w-3"});var text_1=sibling(node_2);template_effect(()=>set_text(text_1,` ${get$4(model)||"Unknown Model"}`)),append($$anchor3,fragment_1)},$$slots:{default:!0}});var node_3=sibling(
+node_1,2);{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"secondary",class:"text-xs",children:($$anchor4,$$slotProps)=>{next$1();var text_2=text$8();template_effect($0=>set_text(text_2,`ctx: ${$0??""}`),[()=>get$4(serverData).default_generation_settings.n_ctx.toLocaleString()]),append($$anchor4,text_2)},$$slots:{default:!0}})};if_block(node_3,$$render=>{get$4(serverData)?.default_generation_settings?.n_ctx&&$$render(consequent)})}append($$anchor2,fragment)};if_block(node2,$$render=>{get$4(
+serverData)&&!get$4(error2)&&$$render(consequent_1)})}var node_4=sibling(node2,2);{var consequent_2=$$anchor2=>{Button($$anchor2,{variant:"outline",size:"sm",class:"text-destructive",children:($$anchor3,$$slotProps)=>{var fragment_5=root_6(),node_5=first_child(fragment_5);Triangle_alert(node_5,{class:"h-4 w-4"});var text_3=sibling(node_5);template_effect(()=>set_text(text_3,` ${get$4(error2)??""}`)),append($$anchor3,fragment_5)},$$slots:{default:!0}})};if_block(node_4,$$render=>{showActions()&&get$4(
+error2)&&$$render(consequent_2)})}reset(div),template_effect(($0,$1)=>{set_class(div,1,`flex items-center space-x-3 ${className()??""}`),set_class(div_2,1,`h-2 w-2 rounded-full ${$0??""}`),set_text(text2,$1)},[getStatusColor,getStatusText]),append($$anchor,div),pop()}var root_2$1=from_html("<!> Enter API Key",1),root_1$1=from_html('<div class="mb-4"><!></div>'),root_5=from_html('<div class="absolute top-1/2 right-3 -translate-y-1/2"><!></div>'),root_7=from_html('<div class="absolute top-1/2 righ\
+t-3 -translate-y-1/2"><!></div>'),root_9=from_html('<div class="absolute top-1/2 right-3 -translate-y-1/2"><!></div>'),root_10=from_html('<p class="text-sm text-destructive"> </p>'),root_11=from_html('<p class="text-sm text-green-600">✓ API key validated successfully! Connecting...</p>'),root_13=from_html("<!> Validating...",1),root_3$1=from_html('<div class="mb-4 space-y-3 text-left"><div class="space-y-2"><!> <div class="relative"><!> <!></div> <!> <!></div> <div class="flex gap-2"><!> <!></\
+div></div>'),root_20=from_html("<!> Connecting...",1),root_21=from_html("<!> Retry Connection",1),root_18=from_html("<div><!></div>"),root_22=from_html('<div class="mt-4 text-left"><details class="text-sm"><summary class="cursor-pointer text-muted-foreground hover:text-foreground">Troubleshooting</summary> <div class="mt-2 space-y-3 text-xs text-muted-foreground"><div class="space-y-2"><p class="mb-4 font-medium">Start the llama-server:</p> <div class="rounded bg-muted/50 px-2 py-1 font-mono tex\
+t-xs"><p>llama-server -hf ggml-org/gemma-3-4b-it-GGUF</p></div> <p>or</p> <div class="rounded bg-muted/50 px-2 py-1 font-mono text-xs"><p class="mt-1">llama-server -m locally-stored-model.gguf</p></div></div> <ul class="list-disc space-y-1 pl-4"><li>Check that the server is accessible at the correct URL</li> <li>Verify your network connection</li> <li>Check server logs for any error messages</li></ul></div></details></div>'),root$3=from_html('<div><div class="w-full max-w-md px-4 text-center"><d\
+iv class="mb-6"><div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-full bg-destructive/10"><!></div> <h2 class="mb-2 text-xl font-semibold">Server Connection Error</h2> <p class="mb-4 text-sm text-muted-foreground"> </p></div> <!> <!> <!> <!></div></div>');function ServerErrorSplash($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showRetry=prop($$props,"showRetry",3,!0),showTroubleshooting=prop($$props,"showTroubleshooting",3,!1),isServerLoading=user_derived(
+serverLoading),isAccessDeniedError=user_derived(()=>$$props.error.toLowerCase().includes("access denied")||$$props.error.toLowerCase().includes("invalid api key")||$$props.error.toLowerCase().includes("unauthorized")||$$props.error.toLowerCase().includes("401")||$$props.error.toLowerCase().includes("403")),apiKeyInput=state$1(""),showApiKeyInput=state$1(!1),apiKeyState=state$1("idle"),apiKeyError=state$1("");function handleRetryConnection(){$$props.onRetry?$$props.onRetry():serverStore.fetch()}function handleShowApiKeyInput(){
+set$1(showApiKeyInput,!0);const currentConfig=config$1();set$1(apiKeyInput,currentConfig.apiKey?.toString()||"",!0)}async function handleSaveApiKey(){if(get$4(apiKeyInput).trim()){set$1(apiKeyState,"validating"),set$1(apiKeyError,"");try{settingsStore.updateConfig("apiKey",get$4(apiKeyInput).trim());const response=await fetch(`${base}/props`,{headers:{"Content-Type":"application/json",Authorization:`Bearer ${get$4(apiKeyInput).trim()}`}});response.ok?(set$1(apiKeyState,"success"),setTimeout(()=>{
+goto("#/")},1e3)):(set$1(apiKeyState,"error"),response.status===401||response.status===403?set$1(apiKeyError,"Invalid API key - please check and try again"):set$1(apiKeyError,`Authentication failed (${response.status})`),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3))}catch(error2){set$1(apiKeyState,"error"),error2 instanceof Error?error2.message.includes("fetch")?set$1(apiKeyError,"Cannot connect to server - check if server is running"):set$1(apiKeyError,error2.message,!0):set$1(apiKeyError,"C\
+onnection error - please try again"),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3)}}}function handleApiKeyKeydown(event2){event2.key===KeyboardKey.ENTER&&handleSaveApiKey()}var div=root$3(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);Triangle_alert(node2,{class:"h-8 w-8 text-destructive"}),reset(div_3);var p2=sibling(div_3,4),text2=child(p2,!0);reset(p2),reset(div_2);var node_1=sibling(div_2,2);{var consequent=$$anchor2=>{var div_4=root_1$1(),node_2=child(div_4);Button(
+node_2,{onclick:handleShowApiKeyInput,variant:"outline",class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment=root_2$1(),node_3=first_child(fragment);Key(node_3,{class:"h-4 w-4"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}}),reset(div_4),transition(1,div_4,()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_4)};if_block(node_1,$$render=>{get$4(isAccessDeniedError)&&!get$4(showApiKeyInput)&&$$render(consequent)})}var node_4=sibling(node_1,2);{var consequent_8=$$anchor2=>{
+var div_5=root_3$1(),div_6=child(div_5),node_5=child(div_6);Label(node_5,{for:"api-key-input",class:"text-sm font-medium",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("API Key");append($$anchor3,text_1)},$$slots:{default:!0}});var div_7=sibling(node_5,2),node_6=child(div_7);{let $0=user_derived(()=>get$4(apiKeyState)==="error"?"border-destructive":get$4(apiKeyState)==="success"?"border-green-500":""),$1=user_derived(()=>get$4(apiKeyState)==="validating");Input(node_6,{id:"api-ke\
+y-input",placeholder:"Enter your API key...",onkeydown:handleApiKeyKeydown,get class(){return`w-full pr-10 ${get$4($0)??""}`},get disabled(){return get$4($1)},get value(){return get$4(apiKeyInput)},set value($$value){set$1(apiKeyInput,$$value,!0)}})}var node_7=sibling(node_6,2);{var consequent_1=$$anchor3=>{var div_8=root_5(),node_8=child(div_8);Refresh_cw(node_8,{class:"h-4 w-4 animate-spin text-muted-foreground"}),reset(div_8),append($$anchor3,div_8)},alternate_1=$$anchor3=>{var fragment_1=comment$2(),
+node_9=first_child(fragment_1);{var consequent_2=$$anchor4=>{var div_9=root_7(),node_10=child(div_9);Circle_check_big(node_10,{class:"h-4 w-4 text-green-500"}),reset(div_9),transition(1,div_9,()=>scale,()=>({duration:200,start:.8})),append($$anchor4,div_9)},alternate=$$anchor4=>{var fragment_2=comment$2(),node_11=first_child(fragment_2);{var consequent_3=$$anchor5=>{var div_10=root_9(),node_12=child(div_10);Circle_x(node_12,{class:"h-4 w-4 text-destructive"}),reset(div_10),transition(1,div_10,()=>scale,
+()=>({duration:200,start:.8})),append($$anchor5,div_10)};if_block(node_11,$$render=>{get$4(apiKeyState)==="error"&&$$render(consequent_3)},!0)}append($$anchor4,fragment_2)};if_block(node_9,$$render=>{get$4(apiKeyState)==="success"?$$render(consequent_2):$$render(alternate,!1)},!0)}append($$anchor3,fragment_1)};if_block(node_7,$$render=>{get$4(apiKeyState)==="validating"?$$render(consequent_1):$$render(alternate_1,!1)})}reset(div_7);var node_13=sibling(div_7,2);{var consequent_4=$$anchor3=>{var p_1=root_10(),
+text_2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_2,get$4(apiKeyError))),transition(1,p_1,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_1)};if_block(node_13,$$render=>{get$4(apiKeyError)&&$$render(consequent_4)})}var node_14=sibling(node_13,2);{var consequent_5=$$anchor3=>{var p_2=root_11();transition(1,p_2,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_2)};if_block(node_14,$$render=>{get$4(apiKeyState)==="success"&&$$render(consequent_5)})}reset(div_6);var div_11=sibling(
+div_6,2),node_15=child(div_11);{let $0=user_derived(()=>!get$4(apiKeyInput).trim()||get$4(apiKeyState)==="validating"||get$4(apiKeyState)==="success");Button(node_15,{onclick:handleSaveApiKey,get disabled(){return get$4($0)},class:"flex-1",children:($$anchor3,$$slotProps)=>{var fragment_3=comment$2(),node_16=first_child(fragment_3);{var consequent_6=$$anchor4=>{var fragment_4=root_13(),node_17=first_child(fragment_4);Refresh_cw(node_17,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_4)},
+alternate_3=$$anchor4=>{var fragment_5=comment$2(),node_18=first_child(fragment_5);{var consequent_7=$$anchor5=>{var text_3=text$8("Success!");append($$anchor5,text_3)},alternate_2=$$anchor5=>{var text_4=text$8("Save & Retry");append($$anchor5,text_4)};if_block(node_18,$$render=>{get$4(apiKeyState)==="success"?$$render(consequent_7):$$render(alternate_2,!1)},!0)}append($$anchor4,fragment_5)};if_block(node_16,$$render=>{get$4(apiKeyState)==="validating"?$$render(consequent_6):$$render(alternate_3,
+!1)})}append($$anchor3,fragment_3)},$$slots:{default:!0}})}var node_19=sibling(node_15,2);{let $0=user_derived(()=>get$4(apiKeyState)==="validating");Button(node_19,{onclick:()=>{set$1(showApiKeyInput,!1),set$1(apiKeyState,"idle"),set$1(apiKeyError,"")},variant:"outline",class:"flex-1",get disabled(){return get$4($0)},children:($$anchor3,$$slotProps)=>{next$1();var text_5=text$8("Cancel");append($$anchor3,text_5)},$$slots:{default:!0}})}reset(div_11),reset(div_5),transition(1,div_5,()=>fly,()=>({
+y:10,duration:300,delay:200})),append($$anchor2,div_5)};if_block(node_4,$$render=>{get$4(showApiKeyInput)&&$$render(consequent_8)})}var node_20=sibling(node_4,2);{var consequent_10=$$anchor2=>{var div_12=root_18(),node_21=child(div_12);Button(node_21,{onclick:handleRetryConnection,get disabled(){return get$4(isServerLoading)},class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment_6=comment$2(),node_22=first_child(fragment_6);{var consequent_9=$$anchor4=>{var fragment_7=root_20(),node_23=first_child(
+fragment_7);Refresh_cw(node_23,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_7)},alternate_4=$$anchor4=>{var fragment_8=root_21(),node_24=first_child(fragment_8);Refresh_cw(node_24,{class:"h-4 w-4"}),next$1(),append($$anchor4,fragment_8)};if_block(node_22,$$render=>{get$4(isServerLoading)?$$render(consequent_9):$$render(alternate_4,!1)})}append($$anchor3,fragment_6)},$$slots:{default:!0}}),reset(div_12),transition(1,div_12,()=>fly,()=>({y:10,duration:300,delay:200})),append(
+$$anchor2,div_12)};if_block(node_20,$$render=>{showRetry()&&$$render(consequent_10)})}var node_25=sibling(node_20,2);{var consequent_11=$$anchor2=>{var div_13=root_22();transition(1,div_13,()=>fly,()=>({y:10,duration:300,delay:400})),append($$anchor2,div_13)};if_block(node_25,$$render=>{showTroubleshooting()&&$$render(consequent_11)})}reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify-center ${className()??""}`),set_text(text2,$$props.error)}),transition(
+1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div),pop()}var root$2=from_html('<div><div class="text-center"><div class="mb-4"><div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-full bg-muted"><!></div> <h2 class="mb-2 text-xl font-semibold">Connecting to Server</h2> <p class="text-sm text-muted-foreground"> </p></div> <div class="mt-4"><!></div></div></div>');function ServerLoadingSplash($$anchor,$$props){let className=prop($$props,"class",3,""),message=prop($$props,
+"message",3,"Initializing connection to llama.cpp server...");var div=root$2(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);Server(node2,{class:"h-8 w-8 animate-pulse text-muted-foreground"}),reset(div_3);var p2=sibling(div_3,4),text2=child(p2,!0);reset(p2),reset(div_2);var div_4=sibling(div_2,2),node_1=child(div_4);ServerStatus(node_1,{class:"justify-center"}),reset(div_4),reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify\
+-center ${className()??""}`),set_text(text2,message())}),transition(1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div)}var root_2=from_html('<div class="flex h-screen w-full"><!> <!> <!></div>'),root_1=from_html("<!> <!> <!> <!> <!>",1);function _layout($$anchor,$$props){push$1($$props,!0);let isChatRoute=user_derived(()=>page$1.route.id==="/chat/[id]"),isHomeRoute=user_derived(()=>page$1.route.id==="/"),isNewChatMode=user_derived(()=>page$1.url.searchParams.get("new_chat")==="true"),showSidebarByDefault=user_derived(
+()=>activeMessages().length>0||isLoading()),alwaysShowSidebarOnDesktop=user_derived(()=>config$1().alwaysShowSidebarOnDesktop),autoShowSidebarOnNewChat=user_derived(()=>config$1().autoShowSidebarOnNewChat),isMobile=new IsMobile,isDesktop=user_derived(()=>!isMobile.current),sidebarOpen=state$1(!1),innerHeight=state$1(void 0),chatSidebar=state$1(void 0),titleUpdateDialogOpen=state$1(!1),titleUpdateCurrentTitle=state$1(""),titleUpdateNewTitle=state$1(""),titleUpdateResolve=null,chatSettingsDialogOpen=state$1(
+!1),chatSettingsDialogInitialSection=state$1(void 0);setChatSettingsDialogContext({open:initialSection=>{set$1(chatSettingsDialogInitialSection,initialSection,!0),set$1(chatSettingsDialogOpen,!0)}});function handleKeydown(event2){const isCtrlOrCmd=event2.ctrlKey||event2.metaKey;isCtrlOrCmd&&event2.key===KeyboardKey.K_LOWER&&(event2.preventDefault(),get$4(chatSidebar)?.activateSearchMode&&(get$4(chatSidebar).activateSearchMode(),set$1(sidebarOpen,!0))),isCtrlOrCmd&&event2.shiftKey&&event2.key===KeyboardKey.
+O_UPPER&&(event2.preventDefault(),goto("?new_chat=true#/")),event2.shiftKey&&isCtrlOrCmd&&event2.key===KeyboardKey.E_UPPER&&(event2.preventDefault(),get$4(chatSidebar)?.editActiveConversation&&get$4(chatSidebar).editActiveConversation())}function handleTitleUpdateCancel(){set$1(titleUpdateDialogOpen,!1),titleUpdateResolve&&(titleUpdateResolve(!1),titleUpdateResolve=null)}function handleTitleUpdateConfirm(){set$1(titleUpdateDialogOpen,!1),titleUpdateResolve&&(titleUpdateResolve(!0),titleUpdateResolve=
+null)}user_effect(()=>{if(get$4(alwaysShowSidebarOnDesktop)&&get$4(isDesktop)){set$1(sidebarOpen,!0);return}get$4(isHomeRoute)&&!get$4(isNewChatMode)?set$1(sidebarOpen,!1):get$4(isHomeRoute)&&get$4(isNewChatMode)?set$1(sidebarOpen,!0):get$4(isChatRoute)?get$4(autoShowSidebarOnNewChat)&&set$1(sidebarOpen,!0):set$1(sidebarOpen,get$4(showSidebarByDefault),!0)}),user_effect(()=>{serverStore.props||untrack$1(()=>{serverStore.fetch()})}),user_effect(()=>{serverStore.props&&settingsStore.syncWithServerDefaults()});
+let routerModelsFetched=!1;user_effect(()=>{const isRouter=isRouterMode(),modelsCount=modelsStore.models.length;isRouter&&modelsCount>0&&!routerModelsFetched&&(routerModelsFetched=!0,untrack$1(()=>{modelsStore.fetchRouterModels()}))}),user_effect(()=>{const enabledServers=mcpStore.getServers().filter(s2=>s2.enabled&&s2.url.trim());enabledServers.length>0&&untrack$1(()=>{mcpStore.runHealthChecksForServers(enabledServers,!1).catch(error2=>{console.warn("[layout] MCP health checks failed:",error2)})})}),
+user_effect(()=>{const apiKey=config$1().apiKey;if((page$1.route.id==="/"||page$1.route.id==="/chat/[id]")&&page$1.status!==401&&page$1.status!==403){const headers={"Content-Type":"application/json"};apiKey&&apiKey.trim()!==""&&(headers.Authorization=`Bearer ${apiKey.trim()}`),fetch(`${base}/props`,{headers}).then(response=>{(response.status===401||response.status===403)&&window.location.reload()}).catch(e=>{console.error("Error checking API key:",e)})}}),user_effect(()=>{conversationsStore.setTitleUpdateConfirmationCallback(
+async(currentTitle,newTitle)=>new Promise(resolve2=>{set$1(titleUpdateCurrentTitle,currentTitle,!0),set$1(titleUpdateNewTitle,newTitle,!0),titleUpdateResolve=resolve2,set$1(titleUpdateDialogOpen,!0)}))});var fragment=comment$2();event("keydown",$window,handleKeydown);var node2=first_child(fragment);component(node2,()=>Provider,($$anchor2,Tooltip_Provider)=>{Tooltip_Provider($$anchor2,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1(),node_1=first_child(
+fragment_1);Mode_watcher(node_1,{});var node_2=sibling(node_1,2);Toaster(node_2,{richColors:!0});var node_3=sibling(node_2,2);DialogChatSettings(node_3,{get open(){return get$4(chatSettingsDialogOpen)},onOpenChange:open2=>set$1(chatSettingsDialogOpen,open2,!0),get initialSection(){return get$4(chatSettingsDialogInitialSection)}});var node_4=sibling(node_3,2);DialogConversationTitleUpdate(node_4,{get currentTitle(){return get$4(titleUpdateCurrentTitle)},get newTitle(){return get$4(titleUpdateNewTitle)},
+onConfirm:handleTitleUpdateConfirm,onCancel:handleTitleUpdateCancel,get open(){return get$4(titleUpdateDialogOpen)},set open($$value){set$1(titleUpdateDialogOpen,$$value,!0)}});var node_5=sibling(node_4,2);component(node_5,()=>Sidebar_provider,($$anchor4,Sidebar_Provider)=>{Sidebar_Provider($$anchor4,{get open(){return get$4(sidebarOpen)},set open($$value){set$1(sidebarOpen,$$value,!0)},children:($$anchor5,$$slotProps2)=>{var div=root_2();let styles2;var node_6=child(div);component(node_6,()=>Sidebar,
+($$anchor6,Sidebar_Root)=>{Sidebar_Root($$anchor6,{class:"h-full",children:($$anchor7,$$slotProps3)=>{bind_this(ChatSidebar($$anchor7,{}),$$value=>set$1(chatSidebar,$$value,!0),()=>get$4(chatSidebar))},$$slots:{default:!0}})});var node_7=sibling(node_6,2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_8=first_child(fragment_3);{let $0=user_derived(()=>get$4(sidebarOpen)?"md:left-[var(--sidebar-width)]":"md:left-0!");component(node_8,()=>Sidebar_trigger,($$anchor7,Sidebar_Trigger)=>{
+Sidebar_Trigger($$anchor7,{get class(){return`transition-left absolute left-0 z-[900] duration-200 ease-linear ${get$4($0)??""}`},style:"translate: 1rem 1rem;"})})}append($$anchor6,fragment_3)};if_block(node_7,$$render=>{get$4(alwaysShowSidebarOnDesktop)&&get$4(isDesktop)||$$render(consequent)})}var node_9=sibling(node_7,2);component(node_9,()=>Sidebar_inset,($$anchor6,Sidebar_Inset)=>{Sidebar_Inset($$anchor6,{class:"flex flex-1 flex-col overflow-hidden",children:($$anchor7,$$slotProps3)=>{var fragment_4=comment$2(),
+node_10=first_child(fragment_4);snippet(node_10,()=>$$props.children??noop$3),append($$anchor7,fragment_4)},$$slots:{default:!0}})}),reset(div),template_effect(()=>styles2=set_style(div,"",styles2,{height:`${get$4(innerHeight)??""}px`})),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),bind_window_size("innerHeight",$$value=>set$1(innerHeight,$$value,!0)),append($$anchor,fragment),pop()}const _0=Object.freeze(Object.defineProperty({__proto__:null,
+component:_layout},Symbol.toStringTag,{value:"Module"})),getStores=()=>{const stores$1=stores;return{page:{subscribe:stores$1.page.subscribe},navigating:{subscribe:stores$1.navigating.subscribe},updated:stores$1.updated}},page={subscribe(fn){return getStores().page.subscribe(fn)}};var root_3=from_html('<div class="flex h-full items-center justify-center"><div class="w-full max-w-md px-4 text-center"><div class="mb-6"><div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-ful\
+l bg-destructive/10"><svg class="h-8 w-8 text-destructive" fill="none" stroke="currentColor" viewBox="0 0 24 24"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 9v2m0 4h.01m-6.938 4h13.856c1.54 0 2.502-1.667 1.732-2.5L13.732 4c-.77-.833-1.964-.833-2.732 0L3.732 16.5c-.77.833.192 2.5 1.732 2.5z"></path></svg></div> <h1 class="mb-2 text-2xl font-bold"> </h1> <p class="text-muted-foreground"> </p></div> <button class="rounded-md bg-primary px-4 py-2 text-primary-foregro\
+und hover:bg-primary/90">Go Home</button></div></div>');function _error($$anchor,$$props){push$1($$props,!0);const $page=()=>store_get(page,"$page",$$stores),[$$stores,$$cleanup]=setup_stores();let error2=user_derived(()=>$page().error),status=user_derived(()=>$page().status),isApiKeyError=user_derived(()=>get$4(status)===401||get$4(status)===403||get$4(error2)?.message?.toLowerCase().includes("access denied")||get$4(error2)?.message?.toLowerCase().includes("unauthorized")||get$4(error2)?.message?.
+toLowerCase().includes("invalid api key"));function handleRetry(){goto("#/")}var fragment=comment$2();head$1("1j96wlh",$$anchor2=>{deferred_template_effect(()=>{$document.title=`Error ${get$4(status)??""} - WebUI`})});var node2=first_child(fragment);{var consequent=$$anchor2=>{{let $0=user_derived(()=>get$4(error2)?.message||"Access denied - check server permissions");ServerErrorSplash($$anchor2,{get error(){return get$4($0)},onRetry:handleRetry,showRetry:!1,showTroubleshooting:!1})}},alternate=$$anchor2=>{
+var div=root_3(),div_1=child(div),div_2=child(div_1),h1=sibling(child(div_2),2),text2=child(h1);reset(h1);var p2=sibling(h1,2),text_1=child(p2,!0);reset(p2),reset(div_2);var button=sibling(div_2,2);button.__click=()=>goto("#/"),reset(div_1),reset(div),template_effect(()=>{set_text(text2,`Error ${get$4(status)??""}`),set_text(text_1,get$4(error2)?.message||"Something went wrong")}),append($$anchor2,div)};if_block(node2,$$render=>{get$4(isApiKeyError)?$$render(consequent):$$render(alternate,!1)})}
+append($$anchor,fragment),pop(),$$cleanup()}delegate(["click"]);const _1=Object.freeze(Object.defineProperty({__proto__:null,component:_error},Symbol.toStringTag,{value:"Module"})),load$1=async({fetch:fetch2})=>{await validateApiKey(fetch2)},_page$3=Object.freeze(Object.defineProperty({__proto__:null,load:load$1},Symbol.toStringTag,{value:"Module"}));var root$1=from_html("<!> <!>",1);function _page$2($$anchor,$$props){push$1($$props,!0);let qParam=user_derived(()=>page$1.url.searchParams.get("q")),
+modelParam=user_derived(()=>page$1.url.searchParams.get("model")),newChatParam=user_derived(()=>page$1.url.searchParams.get("new_chat")),showModelNotAvailable=state$1(!1),requestedModelName=state$1(""),availableModelNames=user_derived(()=>modelOptions().map(m=>m.model));function clearUrlParams(){const url2=new URL(page$1.url);url2.searchParams.delete("q"),url2.searchParams.delete("model"),url2.searchParams.delete("new_chat"),replaceState(url2.toString(),{})}async function handleUrlParams(){if(await modelsStore.
+fetch(),get$4(modelParam)){const model=modelsStore.findModelByName(get$4(modelParam));if(model)try{await modelsStore.selectModelById(model.id)}catch(error2){console.error("Failed to select model:",error2),set$1(requestedModelName,get$4(modelParam),!0),set$1(showModelNotAvailable,!0);return}else{set$1(requestedModelName,get$4(modelParam),!0),set$1(showModelNotAvailable,!0);return}}get$4(qParam)!==null?(await conversationsStore.createConversation(),clearUrlParams()):(get$4(modelParam)||get$4(newChatParam)===
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+}}const ka=function nonSerializableClosure(){return ka};class Dict{constructor(e=null){this._map=new Map;this.xref=e;this.objId=null;this.suppressEncryption=!1;this.__nonSerializable__=ka}assignXref(e){this.xref=e}get size(){return this._map.size}get(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetch(r,this.suppressEncryption):r}async getAsync(e,t,a){let r=this._map.get(e);if(\
+void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetchAsync(r,this.suppressEncryption):r}getArray(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}r instanceof Ref&&this.xref&&(r=this.xref.fetch(r,this.suppressEncryption));if(Array.isArray(r)){r=r.slice();for(let e=0,t=r.length;e<t;e++)r[e]instanceof Ref&&this.xref&&(r[e]=this.xref.fetch(r[e]\
+,this.suppressEncryption))}return r}getRaw(e){return this._map.get(e)}getKeys(){return[...this._map.keys()]}getRawValues(){return[...this._map.values()]}set(e,t){this._map.set(e,t)}setIfNotExists(e,t){this.has(e)||this.set(e,t)}setIfNumber(e,t){"number"==typeof t&&this.set(e,t)}setIfArray(e,t){(Array.isArray(t)||ArrayBuffer.isView(t))&&this.set(e,t)}setIfDefined(e,t){null!=t&&this.set(e,t)}setIfName(e,t){"string"==typeof t?this.set(e,Name.get(t)):t instanceof Name&&this.set(e,t)}has(e){return th\
+is._map.has(e)}*[Symbol.iterator](){for(const[e,t]of this._map)yield[e,t instanceof Ref&&this.xref?this.xref.fetch(t,this.suppressEncryption):t]}static get empty(){const e=new Dict(null);e.set=(e,t)=>{unreachable("Should not call `set` on the empty dictionary.")};return shadow(this,"empty",e)}static merge({xref:e,dictArray:t,mergeSubDicts:a=!1}){const r=new Dict(e),i=new Map;for(const e of t)if(e instanceof Dict)for(const[t,r]of e._map){let e=i.get(t);if(void 0===e){e=[];i.set(t,e)}else if(!(a&&\
+r instanceof Dict))continue;e.push(r)}for(const[t,a]of i){if(1===a.length||!(a[0]instanceof Dict)){r._map.set(t,a[0]);continue}const i=new Dict(e);for(const e of a)for(const[t,a]of e._map)i._map.has(t)||i._map.set(t,a);i.size>0&&r._map.set(t,i)}i.clear();return r.size>0?r:Dict.empty}clone(){const e=new Dict(this.xref);for(const t of this.getKeys())e.set(t,this.getRaw(t));return e}delete(e){delete this._map[e]}}class Ref{constructor(e,t){this.num=e;this.gen=t}toString(){return 0===this.gen?`${thi\
+s.num}R`:`${this.num}R${this.gen}`}static fromString(e){const t=Aa[e];if(t)return t;const a=/^(\\d+)R(\\d*)$/.exec(e);return a&&"0"!==a[1]?Aa[e]=new Ref(parseInt(a[1]),a[2]?parseInt(a[2]):0):null}static get(e,t){const a=0===t?`${e}R`:`${e}R${t}`;return Aa[a]||=new Ref(e,t)}}class RefSet{constructor(e=null){this._set=new Set(e?._set)}has(e){return this._set.has(e.toString())}put(e){this._set.add(e.toString())}remove(e){this._set.delete(e.toString())}[Symbol.iterator](){return this._set.values()}cle\
+ar(){this._set.clear()}}class RefSetCache{constructor(){this._map=new Map}get size(){return this._map.size}get(e){return this._map.get(e.toString())}has(e){return this._map.has(e.toString())}put(e,t){this._map.set(e.toString(),t)}putAlias(e,t){this._map.set(e.toString(),this.get(t))}[Symbol.iterator](){return this._map.values()}clear(){this._map.clear()}*values(){yield*this._map.values()}*items(){for(const[e,t]of this._map)yield[Ref.fromString(e),t]}}function isName(e,t){return e instanceof Name\
+&&(void 0===t||e.name===t)}function isCmd(e,t){return e instanceof Cmd&&(void 0===t||e.cmd===t)}function isDict(e,t){return e instanceof Dict&&(void 0===t||isName(e.get("Type"),t))}function isRefsEqual(e,t){return e.num===t.num&&e.gen===t.gen}class BaseStream{get length(){unreachable("Abstract getter `length` accessed")}get isEmpty(){unreachable("Abstract getter `isEmpty` accessed")}get isDataLoaded(){return shadow(this,"isDataLoaded",!0)}getByte(){unreachable("Abstract method `getByte` called")\
+}getBytes(e){unreachable("Abstract method `getBytes` called")}async getImageData(e,t){return this.getBytes(e,t)}async asyncGetBytes(){unreachable("Abstract method `asyncGetBytes` called")}get isAsync(){return!1}get isAsyncDecoder(){return!1}get canAsyncDecodeImageFromBuffer(){return!1}async getTransferableImage(){return null}peekByte(){const e=this.getByte();-1!==e&&this.pos--;return e}peekBytes(e){const t=this.getBytes(e);this.pos-=t.length;return t}getUint16(){const e=this.getByte(),t=this.get\
+Byte();return-1===e||-1===t?-1:(e<<8)+t}getInt32(){return(this.getByte()<<24)+(this.getByte()<<16)+(this.getByte()<<8)+this.getByte()}getByteRange(e,t){unreachable("Abstract method `getByteRange` called")}getString(e){return bytesToString(this.getBytes(e))}skip(e){this.pos+=e||1}reset(){unreachable("Abstract method `reset` called")}moveStart(){unreachable("Abstract method `moveStart` called")}makeSubStream(e,t,a=null){unreachable("Abstract method `makeSubStream` called")}getBaseStreams(){return \
+null}}const Ca=/^[1-9]\\.\\d$/,va=2**31-1,Fa=[1,0,0,1,0,0],Ia=["ColorSpace","ExtGState","Font","Pattern","Properties","Shading","XObject"],Ta=["ExtGState","Font","Properties","XObject"];function getLookupTableFactory(e){let t;return function(){if(e){t=Object.create(null);e(t);e=null}return t}}class MissingDataException extends fa{constructor(e,t){super(`Missing data [${e}, ${t})`,"MissingDataException");this.begin=e;this.end=t}}class ParserEOFException extends fa{constructor(e){super(e,"ParserEOFE\
+xception")}}class XRefEntryException extends fa{constructor(e){super(e,"XRefEntryException")}}class XRefParseException extends fa{constructor(e){super(e,"XRefParseException")}}function arrayBuffersToBytes(e){const t=e.length;if(0===t)return new Uint8Array(0);if(1===t)return new Uint8Array(e[0]);let a=0;for(let r=0;r<t;r++)a+=e[r].byteLength;const r=new Uint8Array(a);let i=0;for(let a=0;a<t;a++){const t=new Uint8Array(e[a]);r.set(t,i);i+=t.byteLength}return r}async function fetchBinaryData(e){con\
+st t=await fetch(e);if(!t.ok)throw new Error(`Failed to fetch file "${e}" with "${t.statusText}".`);return new Uint8Array(await t.arrayBuffer())}function getInheritableProperty({dict:e,key:t,getArray:a=!1,stopWhenFound:r=!0}){let i;const n=new RefSet;for(;e instanceof Dict&&(!e.objId||!n.has(e.objId));){e.objId&&n.put(e.objId);const s=a?e.getArray(t):e.get(t);if(void 0!==s){if(r)return s;(i||=[]).push(s)}e=e.get("Parent")}return i}const Oa=["","C","CC","CCC","CD","D","DC","DCC","DCCC","CM","","X\
+","XX","XXX","XL","L","LX","LXX","LXXX","XC","","I","II","III","IV","V","VI","VII","VIII","IX"];function toRomanNumerals(e,t=!1){assert(Number.isInteger(e)&&e>0,"The number should be a positive integer.");const a="M".repeat(e/1e3|0)+Oa[e%1e3/100|0]+Oa[10+(e%100/10|0)]+Oa[20+e%10];return t?a.toLowerCase():a}function log2(e){return e>0?Math.ceil(Math.log2(e)):0}function readInt8(e,t){return e[t]<<24>>24}function readInt16(e,t){return(e[t]<<24|e[t+1]<<16)>>16}function readUint16(e,t){return e[t]<<8\
+|e[t+1]}function readUint32(e,t){return(e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3])>>>0}function isWhiteSpace(e){return 32===e||9===e||13===e||10===e}function isNumberArray(e,t){return Array.isArray(e)?(null===t||e.length===t)&&e.every((e=>"number"==typeof e)):ArrayBuffer.isView(e)&&!(e instanceof BigInt64Array||e instanceof BigUint64Array)&&(null===t||e.length===t)}function lookupMatrix(e,t){return isNumberArray(e,6)?e:t}function lookupRect(e,t){return isNumberArray(e,4)?e:t}function lookupNormalRect\
+(e,t){return isNumberArray(e,4)?Util.normalizeRect(e):t}function parseXFAPath(e){const t=/(.+)\\[(\\d+)\\]$/;return e.split(".").map((e=>{const a=e.match(t);return a?{name:a[1],pos:parseInt(a[2],10)}:{name:e,pos:0}}))}function escapePDFName(e){const t=[];let a=0;for(let r=0,i=e.length;r<i;r++){const i=e.charCodeAt(r);if(i<33||i>126||35===i||40===i||41===i||60===i||62===i||91===i||93===i||123===i||125===i||47===i||37===i){a<r&&t.push(e.substring(a,r));t.push(`#${i.toString(16)}`);a=r+1}}if(0===t.len\
+gth)return e;a<e.length&&t.push(e.substring(a,e.length));return t.join("")}function escapeString(e){return e.replaceAll(/([()\\\\\\n\\r])/g,(e=>"\\n"===e?"\\\\n":"\\r"===e?"\\\\r":`\\\\${e}`))}function _collectJS(e,t,a,r){if(!e)return;let i=null;if(e instanceof Ref){if(r.has(e))return;i=e;r.put(i);e=t.fetch(e)}if(Array.isArray(e))for(const i of e)_collectJS(i,t,a,r);else if(e instanceof Dict){if(isName(e.get("S"),"JavaScript")){const t=e.get("JS");let r;t instanceof BaseStream?r=t.getString():"string"==type\
+of t&&(r=t);r&&=stringToPDFString(r,!0).replaceAll("\\0","");r&&a.push(r.trim())}_collectJS(e.getRaw("Next"),t,a,r)}i&&r.remove(i)}function collectActions(e,t,a){const r=Object.create(null),i=getInheritableProperty({dict:t,key:"AA",stopWhenFound:!1});if(i)for(let t=i.length-1;t>=0;t--){const n=i[t];if(n instanceof Dict)for(const t of n.getKeys()){const i=a[t];if(!i)continue;const s=[];_collectJS(n.getRaw(t),e,s,new RefSet);s.length>0&&(r[i]=s)}}if(t.has("A")){const a=[];_collectJS(t.get("A"),e,a,\
+new RefSet);a.length>0&&(r.Action=a)}return objectSize(r)>0?r:null}const Ma={60:"&lt;",62:"&gt;",38:"&amp;",34:"&quot;",39:"&apos;"};function*codePointIter(e){for(let t=0,a=e.length;t<a;t++){const a=e.codePointAt(t);a>55295&&(a<57344||a>65533)&&t++;yield a}}function encodeToXmlString(e){const t=[];let a=0;for(let r=0,i=e.length;r<i;r++){const i=e.codePointAt(r);if(32<=i&&i<=126){const n=Ma[i];if(n){a<r&&t.push(e.substring(a,r));t.push(n);a=r+1}}else{a<r&&t.push(e.substring(a,r));t.push(`&#x${i.t\
+oString(16).toUpperCase()};`);i>55295&&(i<57344||i>65533)&&r++;a=r+1}}if(0===t.length)return e;a<e.length&&t.push(e.substring(a,e.length));return t.join("")}function validateFontName(e,t=!1){const a=/^("|\').*("|\')$/.exec(e);if(a&&a[1]===a[2]){if(new RegExp(`[^\\\\\\\\]${a[1]}`).test(e.slice(1,-1))){t&&warn(`FontFamily contains unescaped ${a[1]}: ${e}.`);return!1}}else for(const a of e.split(/[ \\t]+/))if(/^(\\d|(-(\\d|-)))/.test(a)||!/^[\\w-\\\\]+$/.test(a)){t&&warn(`FontFamily contains invalid <custom-id\
+ent>: ${e}.`);return!1}return!0}function validateCSSFont(e){const t=new Set(["100","200","300","400","500","600","700","800","900","1000","normal","bold","bolder","lighter"]),{fontFamily:a,fontWeight:r,italicAngle:i}=e;if(!validateFontName(a,!0))return!1;const n=r?r.toString():"";e.fontWeight=t.has(n)?n:"400";const s=parseFloat(i);e.italicAngle=isNaN(s)||s<-90||s>90?"14":i.toString();return!0}function recoverJsURL(e){const t=new RegExp("^\\\\s*("+["app.launchURL","window.open","xfa.host.gotoURL"].\
+join("|").replaceAll(".","\\\\.")+")\\\\((?:\'|\\")([^\'\\"]*)(?:\'|\\")(?:,\\\\s*(\\\\w+)\\\\)|\\\\))","i").exec(e);return t?.[2]?{url:t[2],newWindow:"app.launchURL"===t[1]&&"true"===t[3]}:null}function numberToString(e){if(Number.isInteger(e))return e.toString();const t=Math.round(100*e);return t%100==0?(t/100).toString():t%10==0?e.toFixed(1):e.toFixed(2)}function getNewAnnotationsMap(e){if(!e)return null;const t=new Map;for(const[a,r]of e){if(!a.startsWith(f))continue;let e=t.get(r.pageIndex);if(!e){e=[];t.set\
+(r.pageIndex,e)}e.push(r)}return t.size>0?t:null}function stringToAsciiOrUTF16BE(e){return null==e||function isAscii(e){if("string"!=typeof e)return!1;return!e||/^[\\x00-\\x7F]*$/.test(e)}(e)?e:stringToUTF16String(e,!0)}function stringToUTF16HexString(e){const t=[];for(let a=0,r=e.length;a<r;a++){const r=e.charCodeAt(a);t.push(ga[r>>8&255],ga[255&r])}return t.join("")}function stringToUTF16String(e,t=!1){const a=[];t&&a.push("þÿ");for(let t=0,r=e.length;t<r;t++){const r=e.charCodeAt(t);a.push(Stri\
+ng.fromCharCode(r>>8&255),String.fromCharCode(255&r))}return a.join("")}function getRotationMatrix(e,t,a){switch(e){case 90:return[0,1,-1,0,t,0];case 180:return[-1,0,0,-1,t,a];case 270:return[0,-1,1,0,0,a];default:throw new Error("Invalid rotation")}}function getSizeInBytes(e){return Math.ceil(Math.ceil(Math.log2(1+e))/8)}class QCMS{static#a=null;static _memory=null;static _mustAddAlpha=!1;static _destBuffer=null;static _destOffset=0;static _destLength=0;static _cssColor="";static _makeHexColor=\
+null;static get _memoryArray(){const e=this.#a;return e?.byteLength?e:this.#a=new Uint8Array(this._memory.buffer)}}let Da;const Ba="undefined"!=typeof TextDecoder?new TextDecoder("utf-8",{ignoreBOM:!0,fatal:!0}):{decode:()=>{throw Error("TextDecoder not available")}};"undefined"!=typeof TextDecoder&&Ba.decode();let Ra=null;function getUint8ArrayMemory0(){null!==Ra&&0!==Ra.byteLength||(Ra=new Uint8Array(Da.memory.buffer));return Ra}let Na=0;function passArray8ToWasm0(e,t){const a=t(1*e.length,1)>\
+>>0;getUint8ArrayMemory0().set(e,a/1);Na=e.length;return a}const Ea=Object.freeze({RGB8:0,0:"RGB8",RGBA8:1,1:"RGBA8",BGRA8:2,2:"BGRA8",Gray8:3,3:"Gray8",GrayA8:4,4:"GrayA8",CMYK:5,5:"CMYK"}),Pa=Object.freeze({Perceptual:0,0:"Perceptual",RelativeColorimetric:1,1:"RelativeColorimetric",Saturation:2,2:"Saturation",AbsoluteColorimetric:3,3:"AbsoluteColorimetric"});function __wbg_get_imports(){const e={wbg:{}};e.wbg.__wbg_copyresult_b08ee7d273f295dd=function(e,t){!function copy_result(e,t){const{_mus\
+tAddAlpha:a,_destBuffer:r,_destOffset:i,_destLength:n,_memoryArray:s}=QCMS;if(t!==n)if(a)for(let a=e,n=e+t,o=i;a<n;a+=3,o+=4){r[o]=s[a];r[o+1]=s[a+1];r[o+2]=s[a+2];r[o+3]=255}else for(let a=e,n=e+t,o=i;a<n;a+=3,o+=4){r[o]=s[a];r[o+1]=s[a+1];r[o+2]=s[a+2]}else r.set(s.subarray(e,e+t),i)}(e>>>0,t>>>0)};e.wbg.__wbg_copyrgb_d60ce17bb05d9b67=function(e){!function copy_rgb(e){const{_destBuffer:t,_destOffset:a,_memoryArray:r}=QCMS;t[a]=r[e];t[a+1]=r[e+1];t[a+2]=r[e+2]}(e>>>0)};e.wbg.__wbg_makecssRGB_89\
+3bf0cd9fdb302d=function(e){!function make_cssRGB(e){const{_memoryArray:t}=QCMS;QCMS._cssColor=QCMS._makeHexColor(t[e],t[e+1],t[e+2])}(e>>>0)};e.wbg.__wbindgen_init_externref_table=function(){const e=Da.__wbindgen_export_0,t=e.grow(4);e.set(0,void 0);e.set(t+0,void 0);e.set(t+1,null);e.set(t+2,!0);e.set(t+3,!1)};e.wbg.__wbindgen_throw=function(e,t){throw new Error(function getStringFromWasm0(e,t){e>>>=0;return Ba.decode(getUint8ArrayMemory0().subarray(e,e+t))}(e,t))};return e}function __wbg_final\
+ize_init(e,t){Da=e.exports;__wbg_init.__wbindgen_wasm_module=t;Ra=null;Da.__wbindgen_start();return Da}async function __wbg_init(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module_or_path:e}=e):console.warn("using deprecated parameters for the initialization function; pass a single object instead"));const t=__wbg_get_imports();("string"==typeof e||"function"==typeof Request&&e instanceof Request||"function"==typeof URL&&e instanceof URL)&&(e=fetch(e));c\
+onst{instance:a,module:r}=await async function __wbg_load(e,t){if("function"==typeof Response&&e instanceof Response){if("function"==typeof WebAssembly.instantiateStreaming)try{return await WebAssembly.instantiateStreaming(e,t)}catch(t){if("application/wasm"==e.headers.get("Content-Type"))throw t;console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original err\
+or:\\n",t)}const a=await e.arrayBuffer();return await WebAssembly.instantiate(a,t)}{const a=await WebAssembly.instantiate(e,t);return a instanceof WebAssembly.Instance?{instance:a,module:e}:a}}(await e,t);return __wbg_finalize_init(a,r)}class ColorSpace{static#r=new Uint8ClampedArray(3);constructor(e,t){this.name=e;this.numComps=t}getRgb(e,t,a=new Uint8ClampedArray(3)){this.getRgbItem(e,t,a,0);return a}getRgbHex(e,t){const a=this.getRgb(e,t,ColorSpace.#r);return Util.makeHexColor(a[0],a[1],a[2])}\
+getRgbItem(e,t,a,r){unreachable("Should not call ColorSpace.getRgbItem")}getRgbBuffer(e,t,a,r,i,n,s){unreachable("Should not call ColorSpace.getRgbBuffer")}getOutputLength(e,t){unreachable("Should not call ColorSpace.getOutputLength")}isPassthrough(e){return!1}isDefaultDecode(e,t){return ColorSpace.isDefaultDecode(e,this.numComps)}fillRgb(e,t,a,r,i,n,s,o,c){const l=t*a;let h=null;const u=1<<s,d=a!==i||t!==r;if(this.isPassthrough(s))h=o;else if(1===this.numComps&&l>u&&"DeviceGray"!==this.name&&"D\
+eviceRGB"!==this.name){const t=s<=8?new Uint8Array(u):new Uint16Array(u);for(let e=0;e<u;e++)t[e]=e;const a=new Uint8ClampedArray(3*u);this.getRgbBuffer(t,0,u,a,0,s,0);if(d){h=new Uint8Array(3*l);let e=0;for(let t=0;t<l;++t){const r=3*o[t];h[e++]=a[r];h[e++]=a[r+1];h[e++]=a[r+2]}}else{let t=0;for(let r=0;r<l;++r){const i=3*o[r];e[t++]=a[i];e[t++]=a[i+1];e[t++]=a[i+2];t+=c}}}else if(d){h=new Uint8ClampedArray(3*l);this.getRgbBuffer(o,0,l,h,0,s,0)}else this.getRgbBuffer(o,0,r*n,e,0,s,c);if(h)if(d)\
+!function resizeRgbImage(e,t,a,r,i,n,s){s=1!==s?0:s;const o=a/i,c=r/n;let l,h=0;const u=new Uint16Array(i),d=3*a;for(let e=0;e<i;e++)u[e]=3*Math.floor(e*o);for(let a=0;a<n;a++){const r=Math.floor(a*c)*d;for(let a=0;a<i;a++){l=r+u[a];t[h++]=e[l++];t[h++]=e[l++];t[h++]=e[l++];h+=s}}}(h,e,t,a,r,i,c);else{let t=0,a=0;for(let i=0,s=r*n;i<s;i++){e[t++]=h[a++];e[t++]=h[a++];e[t++]=h[a++];t+=c}}}get usesZeroToOneRange(){return shadow(this,"usesZeroToOneRange",!0)}static isDefaultDecode(e,t){if(!Array.is\
+Array(e))return!0;if(2*t!==e.length){warn("The decode map is not the correct length");return!0}for(let t=0,a=e.length;t<a;t+=2)if(0!==e[t]||1!==e[t+1])return!1;return!0}}class AlternateCS extends ColorSpace{constructor(e,t,a){super("Alternate",e);this.base=t;this.tintFn=a;this.tmpBuf=new Float32Array(t.numComps)}getRgbItem(e,t,a,r){const i=this.tmpBuf;this.tintFn(e,t,i,0);this.base.getRgbItem(i,0,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=this.tintFn,c=this.base,l=1/((1<<n)-1),h=c.numComps,u=c.use\
+sZeroToOneRange,d=(c.isPassthrough(8)||!u)&&0===s;let f=d?i:0;const g=d?r:new Uint8ClampedArray(h*a),p=this.numComps,m=new Float32Array(p),b=new Float32Array(h);let y,w;for(y=0;y<a;y++){for(w=0;w<p;w++)m[w]=e[t++]*l;o(m,0,b,0);if(u)for(w=0;w<h;w++)g[f++]=255*b[w];else{c.getRgbItem(b,0,g,f);f+=h}}d||c.getRgbBuffer(g,0,a,r,i,8,s)}getOutputLength(e,t){return this.base.getOutputLength(e*this.base.numComps/this.numComps,t)}}class PatternCS extends ColorSpace{constructor(e){super("Pattern",null);this.\
+base=e}isDefaultDecode(e,t){unreachable("Should not call PatternCS.isDefaultDecode")}}class IndexedCS extends ColorSpace{constructor(e,t,a){super("Indexed",1);this.base=e;this.highVal=t;const r=e.numComps*(t+1);this.lookup=new Uint8Array(r);if(a instanceof BaseStream){const e=a.getBytes(r);this.lookup.set(e)}else{if("string"!=typeof a)throw new FormatError(`IndexedCS - unrecognized lookup table: ${a}`);for(let e=0;e<r;++e)this.lookup[e]=255&a.charCodeAt(e)}}getRgbItem(e,t,a,r){const{base:i,highV\
+al:n,lookup:s}=this,o=MathClamp(Math.round(e[t]),0,n)*i.numComps;i.getRgbBuffer(s,o,1,a,r,8,0)}getRgbBuffer(e,t,a,r,i,n,s){const{base:o,highVal:c,lookup:l}=this,{numComps:h}=o,u=o.getOutputLength(h,s);for(let n=0;n<a;++n){const a=MathClamp(Math.round(e[t++]),0,c)*h;o.getRgbBuffer(l,a,1,r,i,8,s);i+=u}}getOutputLength(e,t){return this.base.getOutputLength(e*this.base.numComps,t)}isDefaultDecode(e,t){if(!Array.isArray(e))return!0;if(2!==e.length){warn("Decode map length is not correct");return!0}if\
+(!Number.isInteger(t)||t<1){warn("Bits per component is not correct");return!0}return 0===e[0]&&e[1]===(1<<t)-1}}class DeviceGrayCS extends ColorSpace{constructor(){super("DeviceGray",1)}getRgbItem(e,t,a,r){const i=255*e[t];a[r]=a[r+1]=a[r+2]=i}getRgbBuffer(e,t,a,r,i,n,s){const o=255/((1<<n)-1);let c=t,l=i;for(let t=0;t<a;++t){const t=o*e[c++];r[l++]=t;r[l++]=t;r[l++]=t;l+=s}}getOutputLength(e,t){return e*(3+t)}}class DeviceRgbCS extends ColorSpace{constructor(){super("DeviceRGB",3)}getRgbItem(e\
+,t,a,r){a[r]=255*e[t];a[r+1]=255*e[t+1];a[r+2]=255*e[t+2]}getRgbBuffer(e,t,a,r,i,n,s){if(8===n&&0===s){r.set(e.subarray(t,t+3*a),i);return}const o=255/((1<<n)-1);let c=t,l=i;for(let t=0;t<a;++t){r[l++]=o*e[c++];r[l++]=o*e[c++];r[l++]=o*e[c++];l+=s}}getOutputLength(e,t){return e*(3+t)/3|0}isPassthrough(e){return 8===e}}class DeviceRgbaCS extends ColorSpace{constructor(){super("DeviceRGBA",4)}getOutputLength(e,t){return 4*e}isPassthrough(e){return 8===e}fillRgb(e,t,a,r,i,n,s,o,c){a!==i||t!==r?func\
+tion resizeRgbaImage(e,t,a,r,i,n,s){const o=a/i,c=r/n;let l=0;const h=new Uint16Array(i);if(1===s){for(let e=0;e<i;e++)h[e]=Math.floor(e*o);const r=new Uint32Array(e.buffer),s=new Uint32Array(t.buffer),u=FeatureTest.isLittleEndian?16777215:4294967040;for(let e=0;e<n;e++){const t=r.subarray(Math.floor(e*c)*a);for(let e=0;e<i;e++)s[l++]|=t[h[e]]&u}}else{const r=4,s=a*r;for(let e=0;e<i;e++)h[e]=Math.floor(e*o)*r;for(let a=0;a<n;a++){const r=e.subarray(Math.floor(a*c)*s);for(let e=0;e<i;e++){const a\
+=h[e];t[l++]=r[a];t[l++]=r[a+1];t[l++]=r[a+2]}}}}(o,e,t,a,r,i,c):function copyRgbaImage(e,t,a){if(1===a){const a=new Uint32Array(e.buffer),r=new Uint32Array(t.buffer),i=FeatureTest.isLittleEndian?16777215:4294967040;for(let e=0,t=a.length;e<t;e++)r[e]|=a[e]&i}else{let a=0;for(let r=0,i=e.length;r<i;r+=4){t[a++]=e[r];t[a++]=e[r+1];t[a++]=e[r+2]}}}(o,e,c)}}class DeviceCmykCS extends ColorSpace{constructor(){super("DeviceCMYK",4)}#i(e,t,a,r,i){const n=e[t]*a,s=e[t+1]*a,o=e[t+2]*a,c=e[t+3]*a;r[i]=25\
+5+n*(-4.387332384609988*n+54.48615194189176*s+18.82290502165302*o+212.25662451639585*c-285.2331026137004)+s*(1.7149763477362134*s-5.6096736904047315*o+-17.873870861415444*c-5.497006427196366)+o*(-2.5217340131683033*o-21.248923337353073*c+17.5119270841813)+c*(-21.86122147463605*c-189.48180835922747);r[i+1]=255+n*(8.841041422036149*n+60.118027045597366*s+6.871425592049007*o+31.159100130055922*c-79.2970844816548)+s*(-15.310361306967817*s+17.575251261109482*o+131.35250912493976*c-190.9453302588951)+\
+o*(4.444339102852739*o+9.8632861493405*c-24.86741582555878)+c*(-20.737325471181034*c-187.80453709719578);r[i+2]=255+n*(.8842522430003296*n+8.078677503112928*s+30.89978309703729*o-.23883238689178934*c-14.183576799673286)+s*(10.49593273432072*s+63.02378494754052*o+50.606957656360734*c-112.23884253719248)+o*(.03296041114873217*o+115.60384449646641*c-193.58209356861505)+c*(-22.33816807309886*c-180.12613974708367)}getRgbItem(e,t,a,r){this.#i(e,t,1,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1)\
+;for(let n=0;n<a;n++){this.#i(e,t,o,r,i);t+=4;i+=3+s}}getOutputLength(e,t){return e/4*(3+t)|0}}class CalGrayCS extends ColorSpace{constructor(e,t,a){super("CalGray",1);if(!e)throw new FormatError("WhitePoint missing - required for color space CalGray");[this.XW,this.YW,this.ZW]=e;[this.XB,this.YB,this.ZB]=t||[0,0,0];this.G=a||1;if(this.XW<0||this.ZW<0||1!==this.YW)throw new FormatError(`Invalid WhitePoint components for ${this.name}, no fallback available`);if(this.XB<0||this.YB<0||this.ZB<0){in\
+fo(`Invalid BlackPoint for ${this.name}, falling back to default.`);this.XB=this.YB=this.ZB=0}0===this.XB&&0===this.YB&&0===this.ZB||warn(`${this.name}, BlackPoint: XB: ${this.XB}, YB: ${this.YB}, ZB: ${this.ZB}, only default values are supported.`);if(this.G<1){info(`Invalid Gamma: ${this.G} for ${this.name}, falling back to default.`);this.G=1}}#i(e,t,a,r,i){const n=(e[t]*i)**this.G,s=this.YW*n,o=Math.max(295.8*s**.3333333333333333-40.8,0);a[r]=o;a[r+1]=o;a[r+2]=o}getRgbItem(e,t,a,r){this.#i(e\
+,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;++n){this.#i(e,t,r,i,o);t+=1;i+=3+s}}getOutputLength(e,t){return e*(3+t)}}class CalRGBCS extends ColorSpace{static#n=new Float32Array([.8951,.2664,-.1614,-.7502,1.7135,.0367,.0389,-.0685,1.0296]);static#s=new Float32Array([.9869929,-.1470543,.1599627,.4323053,.5183603,.0492912,-.0085287,.0400428,.9684867]);static#o=new Float32Array([3.2404542,-1.5371385,-.4985314,-.969266,1.8760108,.041556,.0556434,-.2040259,1.0572252]);s\
+tatic#c=new Float32Array([1,1,1]);static#l=new Float32Array(3);static#h=new Float32Array(3);static#u=new Float32Array(3);static#d=(24/116)**3/8;constructor(e,t,a,r){super("CalRGB",3);if(!e)throw new FormatError("WhitePoint missing - required for color space CalRGB");const[i,n,s]=this.whitePoint=e,[o,c,l]=this.blackPoint=t||new Float32Array(3);[this.GR,this.GG,this.GB]=a||new Float32Array([1,1,1]);[this.MXA,this.MYA,this.MZA,this.MXB,this.MYB,this.MZB,this.MXC,this.MYC,this.MZC]=r||new Float32Arr\
+ay([1,0,0,0,1,0,0,0,1]);if(i<0||s<0||1!==n)throw new FormatError(`Invalid WhitePoint components for ${this.name}, no fallback available`);if(o<0||c<0||l<0){info(`Invalid BlackPoint for ${this.name} [${o}, ${c}, ${l}], falling back to default.`);this.blackPoint=new Float32Array(3)}if(this.GR<0||this.GG<0||this.GB<0){info(`Invalid Gamma [${this.GR}, ${this.GG}, ${this.GB}] for ${this.name}, falling back to default.`);this.GR=this.GG=this.GB=1}}#f(e,t,a){a[0]=e[0]*t[0]+e[1]*t[1]+e[2]*t[2];a[1]=e[3]\
+*t[0]+e[4]*t[1]+e[5]*t[2];a[2]=e[6]*t[0]+e[7]*t[1]+e[8]*t[2]}#g(e,t,a){a[0]=1*t[0]/e[0];a[1]=1*t[1]/e[1];a[2]=1*t[2]/e[2]}#p(e,t,a){a[0]=.95047*t[0]/e[0];a[1]=1*t[1]/e[1];a[2]=1.08883*t[2]/e[2]}#m(e){return e<=.0031308?MathClamp(12.92*e,0,1):e>=.99554525?1:MathClamp(1.055*e**(1/2.4)-.055,0,1)}#b(e){return e<0?-this.#b(-e):e>8?((e+16)/116)**3:e*CalRGBCS.#d}#y(e,t,a){if(0===e[0]&&0===e[1]&&0===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=this.#b(0),i=(1-r)/(1-this.#b(e[0])),n=1-i,s=(1-r)/(1-\
+this.#b(e[1])),o=1-s,c=(1-r)/(1-this.#b(e[2])),l=1-c;a[0]=t[0]*i+n;a[1]=t[1]*s+o;a[2]=t[2]*c+l}#w(e,t,a){if(1===e[0]&&1===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#g(e,r,i);this.#f(CalRGBCS.#s,i,a)}#x(e,t,a){const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#p(e,r,i);this.#f(CalRGBCS.#s,i,a)}#i(e,t,a,r,i){const n=MathClamp(e[t]*i,0,1),s=MathClamp(e[t+1]*i,0,1),o=MathClamp(e[t+2]*i,0,1),c=1===n?1:n**this.GR,l=1===s?1:s**this.\
+GG,h=1===o?1:o**this.GB,u=this.MXA*c+this.MXB*l+this.MXC*h,d=this.MYA*c+this.MYB*l+this.MYC*h,f=this.MZA*c+this.MZB*l+this.MZC*h,g=CalRGBCS.#h;g[0]=u;g[1]=d;g[2]=f;const p=CalRGBCS.#u;this.#w(this.whitePoint,g,p);const m=CalRGBCS.#h;this.#y(this.blackPoint,p,m);const b=CalRGBCS.#u;this.#x(CalRGBCS.#c,m,b);const y=CalRGBCS.#h;this.#f(CalRGBCS.#o,b,y);a[r]=255*this.#m(y[0]);a[r+1]=255*this.#m(y[1]);a[r+2]=255*this.#m(y[2])}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=\
+1/((1<<n)-1);for(let n=0;n<a;++n){this.#i(e,t,r,i,o);t+=3;i+=3+s}}getOutputLength(e,t){return e*(3+t)/3|0}}class LabCS extends ColorSpace{constructor(e,t,a){super("Lab",3);if(!e)throw new FormatError("WhitePoint missing - required for color space Lab");[this.XW,this.YW,this.ZW]=e;[this.amin,this.amax,this.bmin,this.bmax]=a||[-100,100,-100,100];[this.XB,this.YB,this.ZB]=t||[0,0,0];if(this.XW<0||this.ZW<0||1!==this.YW)throw new FormatError("Invalid WhitePoint components, no fallback available");if\
+(this.XB<0||this.YB<0||this.ZB<0){info("Invalid BlackPoint, falling back to default");this.XB=this.YB=this.ZB=0}if(this.amin>this.amax||this.bmin>this.bmax){info("Invalid Range, falling back to defaults");this.amin=-100;this.amax=100;this.bmin=-100;this.bmax=100}}#S(e){return e>=6/29?e**3:108/841*(e-4/29)}#A(e,t,a,r){return a+e*(r-a)/t}#i(e,t,a,r,i){let n=e[t],s=e[t+1],o=e[t+2];if(!1!==a){n=this.#A(n,a,0,100);s=this.#A(s,a,this.amin,this.amax);o=this.#A(o,a,this.bmin,this.bmax)}s>this.amax?s=thi\
+s.amax:s<this.amin&&(s=this.amin);o>this.bmax?o=this.bmax:o<this.bmin&&(o=this.bmin);const c=(n+16)/116,l=c+s/500,h=c-o/200,u=this.XW*this.#S(l),d=this.YW*this.#S(c),f=this.ZW*this.#S(h);let g,p,m;if(this.ZW<1){g=3.1339*u+-1.617*d+-.4906*f;p=-.9785*u+1.916*d+.0333*f;m=.072*u+-.229*d+1.4057*f}else{g=3.2406*u+-1.5372*d+-.4986*f;p=-.9689*u+1.8758*d+.0415*f;m=.0557*u+-.204*d+1.057*f}r[i]=255*Math.sqrt(g);r[i+1]=255*Math.sqrt(p);r[i+2]=255*Math.sqrt(m)}getRgbItem(e,t,a,r){this.#i(e,t,!1,a,r)}getRgbBu\
+ffer(e,t,a,r,i,n,s){const o=(1<<n)-1;for(let n=0;n<a;n++){this.#i(e,t,o,r,i);t+=3;i+=3+s}}getOutputLength(e,t){return e*(3+t)/3|0}isDefaultDecode(e,t){return!0}get usesZeroToOneRange(){return shadow(this,"usesZeroToOneRange",!1)}}function fetchSync(e){const t=new XMLHttpRequest;t.open("GET",e,!1);t.responseType="arraybuffer";t.send(null);return t.response}class IccColorSpace extends ColorSpace{#k;#C;static#v=!0;static#F=null;static#I=new FinalizationRegistry((e=>{!function qcms_drop_transformer(\
+e){Da.qcms_drop_transformer(e)}(e)}));constructor(e,t,a){if(!IccColorSpace.isUsable)throw new Error("No ICC color space support");super(t,a);let r;switch(a){case 1:r=Ea.Gray8;this.#C=(e,t,a)=>function qcms_convert_one(e,t,a){Da.qcms_convert_one(e,t,a)}(this.#k,255*e[t],a);break;case 3:r=Ea.RGB8;this.#C=(e,t,a)=>function qcms_convert_three(e,t,a,r,i){Da.qcms_convert_three(e,t,a,r,i)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],a);break;case 4:r=Ea.CMYK;this.#C=(e,t,a)=>function qcms_convert_four(e,t,a\
+,r,i,n){Da.qcms_convert_four(e,t,a,r,i,n)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],255*e[t+3],a);break;default:throw new Error(`Unsupported number of components: ${a}`)}this.#k=function qcms_transformer_from_memory(e,t,a){const r=passArray8ToWasm0(e,Da.__wbindgen_malloc),i=Na;return Da.qcms_transformer_from_memory(r,i,t,a)>>>0}(e,r,Pa.Perceptual);if(!this.#k)throw new Error("Failed to create ICC color space");IccColorSpace.#I.register(this,this.#k)}getRgbHex(e,t){this.#C(e,t,!0);return QCMS._cssC\
+olor}getRgbItem(e,t,a,r){QCMS._destBuffer=a;QCMS._destOffset=r;QCMS._destLength=3;this.#C(e,t,!1);QCMS._destBuffer=null}getRgbBuffer(e,t,a,r,i,n,s){e=e.subarray(t,t+a*this.numComps);if(8!==n){const t=255/((1<<n)-1);for(let a=0,r=e.length;a<r;a++)e[a]*=t}QCMS._mustAddAlpha=s&&r.buffer===e.buffer;QCMS._destBuffer=r;QCMS._destOffset=i;QCMS._destLength=a*(3+s);!function qcms_convert_array(e,t){const a=passArray8ToWasm0(t,Da.__wbindgen_malloc),r=Na;Da.qcms_convert_array(e,a,r)}(this.#k,e);QCMS._mustA\
+ddAlpha=!1;QCMS._destBuffer=null}getOutputLength(e,t){return e/this.numComps*(3+t)|0}static setOptions({useWasm:e,useWorkerFetch:t,wasmUrl:a}){if(t){this.#v=e;this.#F=a}else this.#v=!1}static get isUsable(){let e=!1;if(this.#v)if(this.#F)try{this._module=function initSync(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module:e}=e):console.warn("using deprecated parameters for `initSync()`; pass a single object instead"));const t=__wbg_get_imports();e insta\
+nceof WebAssembly.Module||(e=new WebAssembly.Module(e));return __wbg_finalize_init(new WebAssembly.Instance(e,t),e)}({module:fetchSync(`${this.#F}qcms_bg.wasm`)});e=!!this._module;QCMS._memory=this._module.memory;QCMS._makeHexColor=Util.makeHexColor}catch(e){warn(`ICCBased color space: "${e}".`)}else warn("No ICC color space support due to missing `wasmUrl` API option");return shadow(this,"isUsable",e)}}class CmykICCBasedCS extends IccColorSpace{static#T;constructor(){super(new Uint8Array(fetchS\
+ync(`${CmykICCBasedCS.#T}CGATS001Compat-v2-micro.icc`)),"DeviceCMYK",4)}static setOptions({iccUrl:e}){this.#T=e}static get isUsable(){let e=!1;IccColorSpace.isUsable&&(this.#T?e=!0:warn("No CMYK ICC profile support due to missing `iccUrl` API option"));return shadow(this,"isUsable",e)}}class Stream extends BaseStream{constructor(e,t,a,r){super();this.bytes=e instanceof Uint8Array?e:new Uint8Array(e);this.start=t||0;this.pos=this.start;this.end=t+a||this.bytes.length;this.dict=r}get length(){retu\
+rn this.end-this.start}get isEmpty(){return 0===this.length}getByte(){return this.pos>=this.end?-1:this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e)return t.subarray(a,r);let i=a+e;i>r&&(i=r);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);return this.bytes.subarray(e,t)}reset(){this.pos=this.start}moveStart(){this.start=this.pos}makeSubStream(e,t,a=null){return new Stream(this.bytes.buffer,e,t,a)}}class StringStream extend\
+s Stream{constructor(e){super(stringToBytes(e))}}class NullStream extends Stream{constructor(){super(new Uint8Array(0))}}class ChunkedStream extends Stream{constructor(e,t,a){super(new Uint8Array(e),0,e,null);this.chunkSize=t;this._loadedChunks=new Set;this.numChunks=Math.ceil(e/t);this.manager=a;this.progressiveDataLength=0;this.lastSuccessfulEnsureByteChunk=-1}getMissingChunks(){const e=[];for(let t=0,a=this.numChunks;t<a;++t)this._loadedChunks.has(t)||e.push(t);return e}get numChunksLoaded(){\
+return this._loadedChunks.size}get isDataLoaded(){return this.numChunksLoaded===this.numChunks}onReceiveData(e,t){const a=this.chunkSize;if(e%a!=0)throw new Error(`Bad begin offset: ${e}`);const r=e+t.byteLength;if(r%a!=0&&r!==this.bytes.length)throw new Error(`Bad end offset: ${r}`);this.bytes.set(new Uint8Array(t),e);const i=Math.floor(e/a),n=Math.floor((r-1)/a)+1;for(let e=i;e<n;++e)this._loadedChunks.add(e)}onReceiveProgressiveData(e){let t=this.progressiveDataLength;const a=Math.floor(t/thi\
+s.chunkSize);this.bytes.set(new Uint8Array(e),t);t+=e.byteLength;this.progressiveDataLength=t;const r=t>=this.end?this.numChunks:Math.floor(t/this.chunkSize);for(let e=a;e<r;++e)this._loadedChunks.add(e)}ensureByte(e){if(e<this.progressiveDataLength)return;const t=Math.floor(e/this.chunkSize);if(!(t>this.numChunks)&&t!==this.lastSuccessfulEnsureByteChunk){if(!this._loadedChunks.has(t))throw new MissingDataException(e,e+1);this.lastSuccessfulEnsureByteChunk=t}}ensureRange(e,t){if(e>=t)return;if(t\
+<=this.progressiveDataLength)return;const a=Math.floor(e/this.chunkSize);if(a>this.numChunks)return;const r=Math.min(Math.floor((t-1)/this.chunkSize)+1,this.numChunks);for(let i=a;i<r;++i)if(!this._loadedChunks.has(i))throw new MissingDataException(e,t)}nextEmptyChunk(e){const t=this.numChunks;for(let a=0;a<t;++a){const r=(e+a)%t;if(!this._loadedChunks.has(r))return r}return null}hasChunk(e){return this._loadedChunks.has(e)}getByte(){const e=this.pos;if(e>=this.end)return-1;e>=this.progressiveDa\
+taLength&&this.ensureByte(e);return this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e){r>this.progressiveDataLength&&this.ensureRange(a,r);return t.subarray(a,r)}let i=a+e;i>r&&(i=r);i>this.progressiveDataLength&&this.ensureRange(a,i);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);t>this.progressiveDataLength&&this.ensureRange(e,t);return this.bytes.subarray(e,t)}makeSubStream(e,t,a=null){t?e+t>this.progressiveDataLength&&t\
+his.ensureRange(e,e+t):e>=this.progressiveDataLength&&this.ensureByte(e);function ChunkedStreamSubstream(){}ChunkedStreamSubstream.prototype=Object.create(this);ChunkedStreamSubstream.prototype.getMissingChunks=function(){const e=this.chunkSize,t=Math.floor(this.start/e),a=Math.floor((this.end-1)/e)+1,r=[];for(let e=t;e<a;++e)this._loadedChunks.has(e)||r.push(e);return r};Object.defineProperty(ChunkedStreamSubstream.prototype,"isDataLoaded",{get(){return this.numChunksLoaded===this.numChunks||0=\
+==this.getMissingChunks().length},configurable:!0});const r=new ChunkedStreamSubstream;r.pos=r.start=e;r.end=e+t||this.end;r.dict=a;return r}getBaseStreams(){return[this]}}class ChunkedStreamManager{constructor(e,t){this.length=t.length;this.chunkSize=t.rangeChunkSize;this.stream=new ChunkedStream(this.length,this.chunkSize,this);this.pdfNetworkStream=e;this.disableAutoFetch=t.disableAutoFetch;this.msgHandler=t.msgHandler;this.currRequestId=0;this._chunksNeededByRequest=new Map;this._requestsByC\
+hunk=new Map;this._promisesByRequest=new Map;this.progressiveDataLength=0;this.aborted=!1;this._loadedStreamCapability=Promise.withResolvers()}sendRequest(e,t){const a=this.pdfNetworkStream.getRangeReader(e,t);a.isStreamingSupported||(a.onProgress=this.onProgress.bind(this));let r=[],i=0;return new Promise(((e,t)=>{const readChunk=({value:n,done:s})=>{try{if(s){const t=arrayBuffersToBytes(r);r=null;e(t);return}i+=n.byteLength;a.isStreamingSupported&&this.onProgress({loaded:i});r.push(n);a.read()\
+.then(readChunk,t)}catch(e){t(e)}};a.read().then(readChunk,t)})).then((t=>{this.aborted||this.onReceiveData({chunk:t,begin:e})}))}requestAllChunks(e=!1){if(!e){const e=this.stream.getMissingChunks();this._requestChunks(e)}return this._loadedStreamCapability.promise}_requestChunks(e){const t=this.currRequestId++,a=new Set;this._chunksNeededByRequest.set(t,a);for(const t of e)this.stream.hasChunk(t)||a.add(t);if(0===a.size)return Promise.resolve();const r=Promise.withResolvers();this._promisesByRe\
+quest.set(t,r);const i=[];for(const e of a){let a=this._requestsByChunk.get(e);if(!a){a=[];this._requestsByChunk.set(e,a);i.push(e)}a.push(t)}if(i.length>0){const e=this.groupChunks(i);for(const t of e){const e=t.beginChunk*this.chunkSize,a=Math.min(t.endChunk*this.chunkSize,this.length);this.sendRequest(e,a).catch(r.reject)}}return r.promise.catch((e=>{if(!this.aborted)throw e}))}getStream(){return this.stream}requestRange(e,t){t=Math.min(t,this.length);const a=this.getBeginChunk(e),r=this.getE\
+ndChunk(t),i=[];for(let e=a;e<r;++e)i.push(e);return this._requestChunks(i)}requestRanges(e=[]){const t=[];for(const a of e){const e=this.getBeginChunk(a.begin),r=this.getEndChunk(a.end);for(let a=e;a<r;++a)t.includes(a)||t.push(a)}t.sort(((e,t)=>e-t));return this._requestChunks(t)}groupChunks(e){const t=[];let a=-1,r=-1;for(let i=0,n=e.length;i<n;++i){const n=e[i];a<0&&(a=n);if(r>=0&&r+1!==n){t.push({beginChunk:a,endChunk:r+1});a=n}i+1===e.length&&t.push({beginChunk:a,endChunk:n+1});r=n}return \
+t}onProgress(e){this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize+e.loaded,total:this.length})}onReceiveData(e){const t=e.chunk,a=void 0===e.begin,r=a?this.progressiveDataLength:e.begin,i=r+t.byteLength,n=Math.floor(r/this.chunkSize),s=i<this.length?Math.floor(i/this.chunkSize):Math.ceil(i/this.chunkSize);if(a){this.stream.onReceiveProgressiveData(t);this.progressiveDataLength=i}else this.stream.onReceiveData(r,t);this.stream.isDataLoaded&&this._loadedStreamCa\
+pability.resolve(this.stream);const o=[];for(let e=n;e<s;++e){const t=this._requestsByChunk.get(e);if(t){this._requestsByChunk.delete(e);for(const a of t){const t=this._chunksNeededByRequest.get(a);t.has(e)&&t.delete(e);t.size>0||o.push(a)}}}if(!this.disableAutoFetch&&0===this._requestsByChunk.size){let e;if(1===this.stream.numChunksLoaded){const t=this.stream.numChunks-1;this.stream.hasChunk(t)||(e=t)}else e=this.stream.nextEmptyChunk(s);Number.isInteger(e)&&this._requestChunks([e])}for(const e\
+ of o){const t=this._promisesByRequest.get(e);this._promisesByRequest.delete(e);t.resolve()}this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize,total:this.length})}onError(e){this._loadedStreamCapability.reject(e)}getBeginChunk(e){return Math.floor(e/this.chunkSize)}getEndChunk(e){return Math.floor((e-1)/this.chunkSize)+1}abort(e){this.aborted=!0;this.pdfNetworkStream?.cancelAllRequests(e);for(const t of this._promisesByRequest.values())t.reject(e)}}function con\
+vertToRGBA(e){switch(e.kind){case k:return convertBlackAndWhiteToRGBA(e);case C:return function convertRGBToRGBA({src:e,srcPos:t=0,dest:a,destPos:r=0,width:i,height:n}){let s=0;const o=i*n*3,c=o>>2,l=new Uint32Array(e.buffer,t,c);if(FeatureTest.isLittleEndian){for(;s<c-2;s+=3,r+=4){const e=l[s],t=l[s+1],i=l[s+2];a[r]=4278190080|e;a[r+1]=e>>>24|t<<8|4278190080;a[r+2]=t>>>16|i<<16|4278190080;a[r+3]=i>>>8|4278190080}for(let i=4*s,n=t+o;i<n;i+=3)a[r++]=e[i]|e[i+1]<<8|e[i+2]<<16|4278190080}else{for(;\
+s<c-2;s+=3,r+=4){const e=l[s],t=l[s+1],i=l[s+2];a[r]=255|e;a[r+1]=e<<24|t>>>8|255;a[r+2]=t<<16|i>>>16|255;a[r+3]=i<<8|255}for(let i=4*s,n=t+o;i<n;i+=3)a[r++]=e[i]<<24|e[i+1]<<16|e[i+2]<<8|255}return{srcPos:t+o,destPos:r}}(e)}return null}function convertBlackAndWhiteToRGBA({src:e,srcPos:t=0,dest:a,width:r,height:i,nonBlackColor:n=4294967295,inverseDecode:s=!1}){const o=FeatureTest.isLittleEndian?4278190080:255,[c,l]=s?[n,o]:[o,n],h=r>>3,u=7&r,d=e.length;a=new Uint32Array(a.buffer);let f=0;for(let\
+ r=0;r<i;r++){for(const r=t+h;t<r;t++){const r=t<d?e[t]:255;a[f++]=128&r?l:c;a[f++]=64&r?l:c;a[f++]=32&r?l:c;a[f++]=16&r?l:c;a[f++]=8&r?l:c;a[f++]=4&r?l:c;a[f++]=2&r?l:c;a[f++]=1&r?l:c}if(0===u)continue;const r=t<d?e[t++]:255;for(let e=0;e<u;e++)a[f++]=r&1<<7-e?l:c}return{srcPos:t,destPos:f}}class ImageResizer{static#O=2048;static#M=FeatureTest.isImageDecoderSupported;constructor(e,t){this._imgData=e;this._isMask=t}static get canUseImageDecoder(){return shadow(this,"canUseImageDecoder",this.#M?I\
+mageDecoder.isTypeSupported("image/bmp"):Promise.resolve(!1))}static needsToBeResized(e,t){if(e<=this.#O&&t<=this.#O)return!1;const{MAX_DIM:a}=this;if(e>a||t>a)return!0;const r=e*t;if(this._hasMaxArea)return r>this.MAX_AREA;if(r<this.#O**2)return!1;if(this._areGoodDims(e,t)){this.#O=Math.max(this.#O,Math.floor(Math.sqrt(e*t)));return!1}this.#O=this._guessMax(this.#O,a,128,0);return r>(this.MAX_AREA=this.#O**2)}static getReducePowerForJPX(e,t,a){const r=e*t,i=2**30/(4*a);if(!this.needsToBeResized\
+(e,t))return r>i?Math.ceil(Math.log2(r/i)):0;const{MAX_DIM:n,MAX_AREA:s}=this,o=Math.max(e/n,t/n,Math.sqrt(r/Math.min(i,s)));return Math.ceil(Math.log2(o))}static get MAX_DIM(){return shadow(this,"MAX_DIM",this._guessMax(2048,65537,0,1))}static get MAX_AREA(){this._hasMaxArea=!0;return shadow(this,"MAX_AREA",this._guessMax(this.#O,this.MAX_DIM,128,0)**2)}static set MAX_AREA(e){if(e>=0){this._hasMaxArea=!0;shadow(this,"MAX_AREA",e)}}static setOptions({canvasMaxAreaInBytes:e=-1,isImageDecoderSuppo\
+rted:t=!1}){this._hasMaxArea||(this.MAX_AREA=e>>2);this.#M=t}static _areGoodDims(e,t){try{const a=new OffscreenCanvas(e,t),r=a.getContext("2d");r.fillRect(0,0,1,1);const i=r.getImageData(0,0,1,1).data[3];a.width=a.height=1;return 0!==i}catch{return!1}}static _guessMax(e,t,a,r){for(;e+a+1<t;){const a=Math.floor((e+t)/2),i=r||a;this._areGoodDims(a,i)?e=a:t=a}return e}static async createImage(e,t=!1){return new ImageResizer(e,t)._createImage()}async _createImage(){const{_imgData:e}=this,{width:t,he\
+ight:a}=e;if(t*a*4>va){const e=this.#D();if(e)return e}const r=this._encodeBMP();let i,n;if(await ImageResizer.canUseImageDecoder){i=new ImageDecoder({data:r,type:"image/bmp",preferAnimation:!1,transfer:[r.buffer]});n=i.decode().catch((e=>{warn(`BMP image decoding failed: ${e}`);return createImageBitmap(new Blob([this._encodeBMP().buffer],{type:"image/bmp"}))})).finally((()=>{i.close()}))}else n=createImageBitmap(new Blob([r.buffer],{type:"image/bmp"}));const{MAX_AREA:s,MAX_DIM:o}=ImageResizer,c\
+=Math.max(t/o,a/o,Math.sqrt(t*a/s)),l=Math.max(c,2),h=Math.round(10*(c+1.25))/10/l,u=Math.floor(Math.log2(h)),d=new Array(u+2).fill(2);d[0]=l;d.splice(-1,1,h/(1<<u));let f=t,g=a;const p=await n;let m=p.image||p;for(const e of d){const t=f,a=g;f=Math.floor(f/e)-1;g=Math.floor(g/e)-1;const r=new OffscreenCanvas(f,g);r.getContext("2d").drawImage(m,0,0,t,a,0,0,f,g);m.close();m=r.transferToImageBitmap()}e.data=null;e.bitmap=m;e.width=f;e.height=g;return e}#D(){const{_imgData:e}=this,{data:t,width:a,h\
+eight:r,kind:i}=e,n=a*r*4,s=Math.ceil(Math.log2(n/va)),o=a>>s,c=r>>s;let l,h=r;try{l=new Uint8Array(n)}catch{let e=Math.floor(Math.log2(n+1));for(;;)try{l=new Uint8Array(2**e-1);break}catch{e-=1}h=Math.floor((2**e-1)/(4*a));const t=a*h*4;t<l.length&&(l=new Uint8Array(t))}const u=new Uint32Array(l.buffer),d=new Uint32Array(o*c);let f=0,g=0;const p=Math.ceil(r/h),m=r%h==0?r:r%h;for(let e=0;e<p;e++){const r=e<p-1?h:m;({srcPos:f}=convertToRGBA({kind:i,src:t,dest:u,width:a,height:r,inverseDecode:this\
+._isMask,srcPos:f}));for(let e=0,t=r>>s;e<t;e++){const t=u.subarray((e<<s)*a);for(let e=0;e<o;e++)d[g++]=t[e<<s]}}if(ImageResizer.needsToBeResized(o,c)){e.data=d;e.width=o;e.height=c;e.kind=v;return null}const b=new OffscreenCanvas(o,c);b.getContext("2d",{willReadFrequently:!0}).putImageData(new ImageData(new Uint8ClampedArray(d.buffer),o,c),0,0);e.data=null;e.bitmap=b.transferToImageBitmap();e.width=o;e.height=c;return e}_encodeBMP(){const{width:e,height:t,kind:a}=this._imgData;let r,i=this._im\
+gData.data,n=new Uint8Array(0),s=n,o=0;switch(a){case k:{r=1;n=new Uint8Array(this._isMask?[255,255,255,255,0,0,0,0]:[0,0,0,0,255,255,255,255]);const a=e+7>>3,s=a+3&-4;if(a!==s){const e=new Uint8Array(s*t);let r=0;for(let n=0,o=t*a;n<o;n+=a,r+=s)e.set(i.subarray(n,n+a),r);i=e}break}case C:r=24;if(3&e){const a=3*e,r=a+3&-4,n=r-a,s=new Uint8Array(r*t);let o=0;for(let e=0,r=t*a;e<r;e+=a){const t=i.subarray(e,e+a);for(let e=0;e<a;e+=3){s[o++]=t[e+2];s[o++]=t[e+1];s[o++]=t[e]}o+=n}i=s}else for(let e=\
+0,t=i.length;e<t;e+=3){const t=i[e];i[e]=i[e+2];i[e+2]=t}break;case v:r=32;o=3;s=new Uint8Array(68);const a=new DataView(s.buffer);if(FeatureTest.isLittleEndian){a.setUint32(0,255,!0);a.setUint32(4,65280,!0);a.setUint32(8,16711680,!0);a.setUint32(12,4278190080,!0)}else{a.setUint32(0,4278190080,!0);a.setUint32(4,16711680,!0);a.setUint32(8,65280,!0);a.setUint32(12,255,!0)}break;default:throw new Error("invalid format")}let c=0;const l=40+s.length,h=14+l+n.length+i.length,u=new Uint8Array(h),d=new \
+DataView(u.buffer);d.setUint16(c,19778,!0);c+=2;d.setUint32(c,h,!0);c+=4;d.setUint32(c,0,!0);c+=4;d.setUint32(c,14+l+n.length,!0);c+=4;d.setUint32(c,l,!0);c+=4;d.setInt32(c,e,!0);c+=4;d.setInt32(c,-t,!0);c+=4;d.setUint16(c,1,!0);c+=2;d.setUint16(c,r,!0);c+=2;d.setUint32(c,o,!0);c+=4;d.setUint32(c,0,!0);c+=4;d.setInt32(c,0,!0);c+=4;d.setInt32(c,0,!0);c+=4;d.setUint32(c,n.length/4,!0);c+=4;d.setUint32(c,0,!0);c+=4;u.set(s,c);c+=s.length;u.set(n,c);c+=n.length;u.set(i,c);return u}}const La=new Uint\
+8Array(0);class DecodeStream extends BaseStream{constructor(e){super();this._rawMinBufferLength=e||0;this.pos=0;this.bufferLength=0;this.eof=!1;this.buffer=La;this.minBufferLength=512;if(e)for(;this.minBufferLength<e;)this.minBufferLength*=2}get isEmpty(){for(;!this.eof&&0===this.bufferLength;)this.readBlock();return 0===this.bufferLength}ensureBuffer(e){const t=this.buffer;if(e<=t.byteLength)return t;let a=this.minBufferLength;for(;a<e;)a*=2;const r=new Uint8Array(a);r.set(t);return this.buffer\
+=r}getByte(){const e=this.pos;for(;this.bufferLength<=e;){if(this.eof)return-1;this.readBlock()}return this.buffer[this.pos++]}getBytes(e,t=null){const a=this.pos;let r;if(e){this.ensureBuffer(a+e);r=a+e;for(;!this.eof&&this.bufferLength<r;)this.readBlock(t);const i=this.bufferLength;r>i&&(r=i)}else{for(;!this.eof;)this.readBlock(t);r=this.bufferLength}this.pos=r;return this.buffer.subarray(a,r)}async getImageData(e,t){if(!this.canAsyncDecodeImageFromBuffer)return this.isAsyncDecoder?this.decode\
+Image(null,t):this.getBytes(e,t);const a=await this.stream.asyncGetBytes();return this.decodeImage(a,t)}reset(){this.pos=0}makeSubStream(e,t,a=null){if(void 0===t)for(;!this.eof;)this.readBlock();else{const a=e+t;for(;this.bufferLength<=a&&!this.eof;)this.readBlock()}return new Stream(this.buffer,e,t,a)}getBaseStreams(){return this.str?this.str.getBaseStreams():null}}class StreamsSequenceStream extends DecodeStream{constructor(e,t=null){e=e.filter((e=>e instanceof BaseStream));let a=0;for(const \
+t of e)a+=t instanceof DecodeStream?t._rawMinBufferLength:t.length;super(a);this.streams=e;this._onError=t}readBlock(){const e=this.streams;if(0===e.length){this.eof=!0;return}const t=e.shift();let a;try{a=t.getBytes()}catch(e){if(this._onError){this._onError(e,t.dict?.objId);return}throw e}const r=this.bufferLength,i=r+a.length;this.ensureBuffer(i).set(a,r);this.bufferLength=i}getBaseStreams(){const e=[];for(const t of this.streams){const a=t.getBaseStreams();a&&e.push(...a)}return e.length>0?e\
+:null}}class ColorSpaceUtils{static parse({cs:e,xref:t,resources:a=null,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n,asyncIfNotCached:s=!1}){const o={xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n};let c,l,h;if(e instanceof Ref){l=e;const a=i.getByRef(l)||n.getByRef(l);if(a)return a;e=t.fetch(e)}if(e instanceof Name){c=e.name;const t=n.getByName(c);if(t)return t}try{h=this.#B(e,o)}catch(e){if(s&&!(e instanceof MissingDataException))r\
+eturn Promise.reject(e);throw e}if(c||l){n.set(c,l,h);l&&i.set(null,l,h)}return s?Promise.resolve(h):h}static#R(e,t){const{globalColorSpaceCache:a}=t;let r;if(e instanceof Ref){r=e;const t=a.getByRef(r);if(t)return t}const i=this.#B(e,t);r&&a.set(null,r,i);return i}static#B(e,t){const{xref:a,resources:r,pdfFunctionFactory:i,globalColorSpaceCache:n}=t;if((e=a.fetchIfRef(e))instanceof Name)switch(e.name){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"Devic\
+eRGBA":return this.rgba;case"CMYK":case"DeviceCMYK":return this.cmyk;case"Pattern":return new PatternCS(null);default:if(r instanceof Dict){const a=r.get("ColorSpace");if(a instanceof Dict){const r=a.get(e.name);if(r){if(r instanceof Name)return this.#B(r,t);e=r;break}}}warn(`Unrecognized ColorSpace: ${e.name}`);return this.gray}if(Array.isArray(e)){const r=a.fetchIfRef(e[0]).name;let s,o,c,l,h,u;switch(r){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"C\
+MYK":case"DeviceCMYK":return this.cmyk;case"CalGray":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.get("Gamma");return new CalGrayCS(l,h,u);case"CalRGB":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.getArray("Gamma");const d=s.getArray("Matrix");return new CalRGBCS(l,h,u,d);case"ICCBased":const f=e[1]instanceof Ref;if(f){const t=n.getByRef(e[1]);if(t)return t}const g=a.fetchIfRef(e[1]),p=g.dict;o=p.get("N");if(IccColorSpace.isUsab\
+le)try{const t=new IccColorSpace(g.getBytes(),"ICCBased",o);f&&n.set(null,e[1],t);return t}catch(t){if(t instanceof MissingDataException)throw t;warn(`ICCBased color space (${e[1]}): "${t}".`)}const m=p.getRaw("Alternate");if(m){const e=this.#R(m,t);if(e.numComps===o)return e;warn("ICCBased color space: Ignoring incorrect /Alternate entry.")}if(1===o)return this.gray;if(3===o)return this.rgb;if(4===o)return this.cmyk;break;case"Pattern":c=e[1]||null;c&&(c=this.#R(c,t));return new PatternCS(c);ca\
+se"I":case"Indexed":c=this.#R(e[1],t);const b=MathClamp(a.fetchIfRef(e[2]),0,255),y=a.fetchIfRef(e[3]);return new IndexedCS(c,b,y);case"Separation":case"DeviceN":const w=a.fetchIfRef(e[1]);o=Array.isArray(w)?w.length:1;c=this.#R(e[2],t);const x=i.create(e[3]);return new AlternateCS(o,c,x);case"Lab":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");const S=s.getArray("Range");return new LabCS(l,h,S);default:warn(`Unimplemented ColorSpace object: ${r}`);return this.gray}}w\
+arn(`Unrecognized ColorSpace object: ${e}`);return this.gray}static get gray(){return shadow(this,"gray",new DeviceGrayCS)}static get rgb(){return shadow(this,"rgb",new DeviceRgbCS)}static get rgba(){return shadow(this,"rgba",new DeviceRgbaCS)}static get cmyk(){if(CmykICCBasedCS.isUsable)try{return shadow(this,"cmyk",new CmykICCBasedCS)}catch{warn("CMYK fallback: DeviceCMYK")}return shadow(this,"cmyk",new DeviceCmykCS)}}class JpegError extends fa{constructor(e){super(e,"JpegError")}}class DNLMar\
+kerError extends fa{constructor(e,t){super(e,"DNLMarkerError");this.scanLines=t}}class EOIMarkerError extends fa{constructor(e){super(e,"EOIMarkerError")}}const ja=new Uint8Array([0,1,8,16,9,2,3,10,17,24,32,25,18,11,4,5,12,19,26,33,40,48,41,34,27,20,13,6,7,14,21,28,35,42,49,56,57,50,43,36,29,22,15,23,30,37,44,51,58,59,52,45,38,31,39,46,53,60,61,54,47,55,62,63]),_a=4017,Ua=799,Xa=3406,qa=2276,Ha=1567,Wa=3784,za=5793,$a=2896;function buildHuffmanTable(e,t){let a,r,i=0,n=16;for(;n>0&&!e[n-1];)n--;c\
+onst s=[{children:[],index:0}];let o,c=s[0];for(a=0;a<n;a++){for(r=0;r<e[a];r++){c=s.pop();c.children[c.index]=t[i];for(;c.index>0;)c=s.pop();c.index++;s.push(c);for(;s.length<=a;){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}i++}if(a+1<n){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}}return s[0].children}function getBlockBufferOffset(e,t,a){return 64*((e.blocksPerLine+1)*t+a)}function decodeScan(e,t,a,r,i,n,s,o,c,l=!1){const h=a.mcusPerLine,u=a.progre\
+ssive,d=t;let f=0,g=0;function readBit(){if(g>0){g--;return f>>g&1}f=e[t++];if(255===f){const r=e[t++];if(r){if(220===r&&l){const r=readUint16(e,t+=2);t+=2;if(r>0&&r!==a.scanLines)throw new DNLMarkerError("Found DNL marker (0xFFDC) while parsing scan data",r)}else if(217===r){if(l){const e=y*(8===a.precision?8:0);if(e>0&&Math.round(a.scanLines/e)>=5)throw new DNLMarkerError("Found EOI marker (0xFFD9) while parsing scan data, possibly caused by incorrect `scanLines` parameter",e)}throw new EOIMar\
+kerError("Found EOI marker (0xFFD9) while parsing scan data")}throw new JpegError(`unexpected marker ${(f<<8|r).toString(16)}`)}}g=7;return f>>>7}function decodeHuffman(e){let t=e;for(;;){t=t[readBit()];switch(typeof t){case"number":return t;case"object":continue}throw new JpegError("invalid huffman sequence")}}function receive(e){let t=0;for(;e>0;){t=t<<1|readBit();e--}return t}function receiveAndExtend(e){if(1===e)return 1===readBit()?1:-1;const t=receive(e);return t>=1<<e-1?t:t+(-1<<e)+1}let \
+p=0;let m,b=0;let y=0;function decodeMcu(e,t,a,r,i){const n=a%h;y=(a/h|0)*e.v+r;const s=n*e.h+i;t(e,getBlockBufferOffset(e,y,s))}function decodeBlock(e,t,a){y=a/e.blocksPerLine|0;const r=a%e.blocksPerLine;t(e,getBlockBufferOffset(e,y,r))}const w=r.length;let x,S,k,C,v,F;F=u?0===n?0===o?function decodeDCFirst(e,t){const a=decodeHuffman(e.huffmanTableDC),r=0===a?0:receiveAndExtend(a)<<c;e.blockData[t]=e.pred+=r}:function decodeDCSuccessive(e,t){e.blockData[t]|=readBit()<<c}:0===o?function decodeAC\
+First(e,t){if(p>0){p--;return}let a=n;const r=s;for(;a<=r;){const r=decodeHuffman(e.huffmanTableAC),i=15&r,n=r>>4;if(0===i){if(n<15){p=receive(n)+(1<<n)-1;break}a+=16;continue}a+=n;const s=ja[a];e.blockData[t+s]=receiveAndExtend(i)*(1<<c);a++}}:function decodeACSuccessive(e,t){let a=n;const r=s;let i,o,l=0;for(;a<=r;){const r=t+ja[a],n=e.blockData[r]<0?-1:1;switch(b){case 0:o=decodeHuffman(e.huffmanTableAC);i=15&o;l=o>>4;if(0===i)if(l<15){p=receive(l)+(1<<l);b=4}else{l=16;b=1}else{if(1!==i)throw\
+ new JpegError("invalid ACn encoding");m=receiveAndExtend(i);b=l?2:3}continue;case 1:case 2:if(e.blockData[r])e.blockData[r]+=n*(readBit()<<c);else{l--;0===l&&(b=2===b?3:0)}break;case 3:if(e.blockData[r])e.blockData[r]+=n*(readBit()<<c);else{e.blockData[r]=m<<c;b=0}break;case 4:e.blockData[r]&&(e.blockData[r]+=n*(readBit()<<c))}a++}if(4===b){p--;0===p&&(b=0)}}:function decodeBaseline(e,t){const a=decodeHuffman(e.huffmanTableDC),r=0===a?0:receiveAndExtend(a);e.blockData[t]=e.pred+=r;let i=1;for(;\
+i<64;){const a=decodeHuffman(e.huffmanTableAC),r=15&a,n=a>>4;if(0===r){if(n<15)break;i+=16;continue}i+=n;const s=ja[i];e.blockData[t+s]=receiveAndExtend(r);i++}};let T,O=0;const M=1===w?r[0].blocksPerLine*r[0].blocksPerColumn:h*a.mcusPerColumn;let D,R;for(;O<=M;){const a=i?Math.min(M-O,i):M;if(a>0){for(S=0;S<w;S++)r[S].pred=0;p=0;if(1===w){x=r[0];for(v=0;v<a;v++){decodeBlock(x,F,O);O++}}else for(v=0;v<a;v++){for(S=0;S<w;S++){x=r[S];D=x.h;R=x.v;for(k=0;k<R;k++)for(C=0;C<D;C++)decodeMcu(x,F,O,k,C)\
+}O++}}g=0;T=findNextFileMarker(e,t);if(!T)break;if(T.invalid){warn(`decodeScan - ${a>0?"unexpected":"excessive"} MCU data, current marker is: ${T.invalid}`);t=T.offset}if(!(T.marker>=65488&&T.marker<=65495))break;t+=2}return t-d}function quantizeAndInverse(e,t,a){const r=e.quantizationTable,i=e.blockData;let n,s,o,c,l,h,u,d,f,g,p,m,b,y,w,x,S;if(!r)throw new JpegError("missing required Quantization Table.");for(let e=0;e<64;e+=8){f=i[t+e];g=i[t+e+1];p=i[t+e+2];m=i[t+e+3];b=i[t+e+4];y=i[t+e+5];w=i\
+[t+e+6];x=i[t+e+7];f*=r[e];if(g|p|m|b|y|w|x){g*=r[e+1];p*=r[e+2];m*=r[e+3];b*=r[e+4];y*=r[e+5];w*=r[e+6];x*=r[e+7];n=za*f+128>>8;s=za*b+128>>8;o=p;c=w;l=$a*(g-x)+128>>8;d=$a*(g+x)+128>>8;h=m<<4;u=y<<4;n=n+s+1>>1;s=n-s;S=o*Wa+c*Ha+128>>8;o=o*Ha-c*Wa+128>>8;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;a[e]=n+d;a[e+7]=n-d;a[e+1]=s+u;a[e+6]=s-u;a[e+2]=o+h;a[e+5]=o-h;a[e+3]=c+l;a[e+4\
+]=c-l}else{S=za*f+512>>10;a[e]=S;a[e+1]=S;a[e+2]=S;a[e+3]=S;a[e+4]=S;a[e+5]=S;a[e+6]=S;a[e+7]=S}}for(let e=0;e<8;++e){f=a[e];g=a[e+8];p=a[e+16];m=a[e+24];b=a[e+32];y=a[e+40];w=a[e+48];x=a[e+56];if(g|p|m|b|y|w|x){n=za*f+2048>>12;s=za*b+2048>>12;o=p;c=w;l=$a*(g-x)+2048>>12;d=$a*(g+x)+2048>>12;h=m;u=y;n=4112+(n+s+1>>1);s=n-s;S=o*Wa+c*Ha+2048>>12;o=o*Ha-c*Wa+2048>>12;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048\
+>>12;h=h*_a-u*Ua+2048>>12;u=S;f=n+d;x=n-d;g=s+u;w=s-u;p=o+h;y=o-h;m=c+l;b=c-l;f<16?f=0:f>=4080?f=255:f>>=4;g<16?g=0:g>=4080?g=255:g>>=4;p<16?p=0:p>=4080?p=255:p>>=4;m<16?m=0:m>=4080?m=255:m>>=4;b<16?b=0:b>=4080?b=255:b>>=4;y<16?y=0:y>=4080?y=255:y>>=4;w<16?w=0:w>=4080?w=255:w>>=4;x<16?x=0:x>=4080?x=255:x>>=4;i[t+e]=f;i[t+e+8]=g;i[t+e+16]=p;i[t+e+24]=m;i[t+e+32]=b;i[t+e+40]=y;i[t+e+48]=w;i[t+e+56]=x}else{S=za*f+8192>>14;S=S<-2040?0:S>=2024?255:S+2056>>4;i[t+e]=S;i[t+e+8]=S;i[t+e+16]=S;i[t+e+24]=S\
+;i[t+e+32]=S;i[t+e+40]=S;i[t+e+48]=S;i[t+e+56]=S}}}function buildComponentData(e,t){const a=t.blocksPerLine,r=t.blocksPerColumn,i=new Int16Array(64);for(let e=0;e<r;e++)for(let r=0;r<a;r++){quantizeAndInverse(t,getBlockBufferOffset(t,e,r),i)}return t.blockData}function findNextFileMarker(e,t,a=t){const r=e.length-1;let i=a<t?a:t;if(t>=r)return null;const n=readUint16(e,t);if(n>=65472&&n<=65534)return{invalid:null,marker:n,offset:t};let s=readUint16(e,i);for(;!(s>=65472&&s<=65534);){if(++i>=r)ret\
+urn null;s=readUint16(e,i)}return{invalid:n.toString(16),marker:s,offset:i}}function prepareComponents(e){const t=Math.ceil(e.samplesPerLine/8/e.maxH),a=Math.ceil(e.scanLines/8/e.maxV);for(const r of e.components){const i=Math.ceil(Math.ceil(e.samplesPerLine/8)*r.h/e.maxH),n=Math.ceil(Math.ceil(e.scanLines/8)*r.v/e.maxV),s=t*r.h,o=64*(a*r.v)*(s+1);r.blockData=new Int16Array(o);r.blocksPerLine=i;r.blocksPerColumn=n}e.mcusPerLine=t;e.mcusPerColumn=a}function readDataBlock(e,t){const a=readUint16(e\
+,t);let r=(t+=2)+a-2;const i=findNextFileMarker(e,r,t);if(i?.invalid){warn("readDataBlock - incorrect length, current marker is: "+i.invalid);r=i.offset}const n=e.subarray(t,r);return{appData:n,oldOffset:t,newOffset:t+n.length}}function skipData(e,t){const a=readUint16(e,t),r=(t+=2)+a-2,i=findNextFileMarker(e,r,t);return i?.invalid?i.offset:r}class JpegImage{constructor({decodeTransform:e=null,colorTransform:t=-1}={}){this._decodeTransform=e;this._colorTransform=t}static canUseImageDecoder(e,t=-\
+1){let a=null,r=0,i=null,n=readUint16(e,r);r+=2;if(65496!==n)throw new JpegError("SOI not found");n=readUint16(e,r);r+=2;e:for(;65497!==n;){switch(n){case 65505:const{appData:t,oldOffset:s,newOffset:o}=readDataBlock(e,r);r=o;if(69===t[0]&&120===t[1]&&105===t[2]&&102===t[3]&&0===t[4]&&0===t[5]){if(a)throw new JpegError("Duplicate EXIF-blocks found.");a={exifStart:s+6,exifEnd:o}}n=readUint16(e,r);r+=2;continue;case 65472:case 65473:case 65474:i=e[r+7];break e;case 65535:255!==e[r]&&r--}r=skipData(\
+e,r);n=readUint16(e,r);r+=2}return 4===i||3===i&&0===t?null:a||{}}parse(e,{dnlScanLines:t=null}={}){let a,r,i=0,n=null,s=null,o=0;const c=[],l=[],h=[];let u=readUint16(e,i);i+=2;if(65496!==u)throw new JpegError("SOI not found");u=readUint16(e,i);i+=2;e:for(;65497!==u;){let d,f,g;switch(u){case 65504:case 65505:case 65506:case 65507:case 65508:case 65509:case 65510:case 65511:case 65512:case 65513:case 65514:case 65515:case 65516:case 65517:case 65518:case 65519:case 65534:const{appData:p,newOffs\
+et:m}=readDataBlock(e,i);i=m;65504===u&&74===p[0]&&70===p[1]&&73===p[2]&&70===p[3]&&0===p[4]&&(n={version:{major:p[5],minor:p[6]},densityUnits:p[7],xDensity:p[8]<<8|p[9],yDensity:p[10]<<8|p[11],thumbWidth:p[12],thumbHeight:p[13],thumbData:p.subarray(14,14+3*p[12]*p[13])});65518===u&&65===p[0]&&100===p[1]&&111===p[2]&&98===p[3]&&101===p[4]&&(s={version:p[5]<<8|p[6],flags0:p[7]<<8|p[8],flags1:p[9]<<8|p[10],transformCode:p[11]});break;case 65499:const b=readUint16(e,i);i+=2;const y=b+i-2;let w;for(\
+;i<y;){const t=e[i++],a=new Uint16Array(64);if(t>>4){if(t>>4!=1)throw new JpegError("DQT - invalid table spec");for(f=0;f<64;f++){w=ja[f];a[w]=readUint16(e,i);i+=2}}else for(f=0;f<64;f++){w=ja[f];a[w]=e[i++]}c[15&t]=a}break;case 65472:case 65473:case 65474:if(a)throw new JpegError("Only single frame JPEGs supported");i+=2;a={};a.extended=65473===u;a.progressive=65474===u;a.precision=e[i++];const x=readUint16(e,i);i+=2;a.scanLines=t||x;a.samplesPerLine=readUint16(e,i);i+=2;a.components=[];a.compo\
+nentIds={};const S=e[i++];let k=0,C=0;for(d=0;d<S;d++){const t=e[i],r=e[i+1]>>4,n=15&e[i+1];k<r&&(k=r);C<n&&(C=n);const s=e[i+2];g=a.components.push({h:r,v:n,quantizationId:s,quantizationTable:null});a.componentIds[t]=g-1;i+=3}a.maxH=k;a.maxV=C;prepareComponents(a);break;case 65476:const v=readUint16(e,i);i+=2;for(d=2;d<v;){const t=e[i++],a=new Uint8Array(16);let r=0;for(f=0;f<16;f++,i++)r+=a[f]=e[i];const n=new Uint8Array(r);for(f=0;f<r;f++,i++)n[f]=e[i];d+=17+r;(t>>4?l:h)[15&t]=buildHuffmanTab\
+le(a,n)}break;case 65501:i+=2;r=readUint16(e,i);i+=2;break;case 65498:const F=1==++o&&!t;i+=2;const T=e[i++],O=[];for(d=0;d<T;d++){const t=e[i++],r=a.componentIds[t],n=a.components[r];n.index=t;const s=e[i++];n.huffmanTableDC=h[s>>4];n.huffmanTableAC=l[15&s];O.push(n)}const M=e[i++],D=e[i++],R=e[i++];try{i+=decodeScan(e,i,a,O,r,M,D,R>>4,15&R,F)}catch(t){if(t instanceof DNLMarkerError){warn(`${t.message} -- attempting to re-parse the JPEG image.`);return this.parse(e,{dnlScanLines:t.scanLines})}i\
+f(t instanceof EOIMarkerError){warn(`${t.message} -- ignoring the rest of the image data.`);break e}throw t}break;case 65500:i+=4;break;case 65535:255!==e[i]&&i--;break;default:const N=findNextFileMarker(e,i-2,i-3);if(N?.invalid){warn("JpegImage.parse - unexpected data, current marker is: "+N.invalid);i=N.offset;break}if(!N||i>=e.length-1){warn("JpegImage.parse - reached the end of the image data without finding an EOI marker (0xFFD9).");break e}throw new JpegError("JpegImage.parse - unknown mar\
+ker: "+u.toString(16))}u=readUint16(e,i);i+=2}if(!a)throw new JpegError("JpegImage.parse - no frame data found.");this.width=a.samplesPerLine;this.height=a.scanLines;this.jfif=n;this.adobe=s;this.components=[];for(const e of a.components){const t=c[e.quantizationId];t&&(e.quantizationTable=t);this.components.push({index:e.index,output:buildComponentData(0,e),scaleX:e.h/a.maxH,scaleY:e.v/a.maxV,blocksPerLine:e.blocksPerLine,blocksPerColumn:e.blocksPerColumn})}this.numComponents=this.components.le\
+ngth}_getLinearizedBlockData(e,t,a=!1){const r=this.width/e,i=this.height/t;let n,s,o,c,l,h,u,d,f,g,p,m=0;const b=this.components.length,y=e*t*b,w=new Uint8ClampedArray(y),x=new Uint32Array(e),S=4294967288;let k;for(u=0;u<b;u++){n=this.components[u];s=n.scaleX*r;o=n.scaleY*i;m=u;p=n.output;c=n.blocksPerLine+1<<3;if(s!==k){for(l=0;l<e;l++){d=0|l*s;x[l]=(d&S)<<3|7&d}k=s}for(h=0;h<t;h++){d=0|h*o;g=c*(d&S)|(7&d)<<3;for(l=0;l<e;l++){w[m]=p[g+x[l]];m+=b}}}let C=this._decodeTransform;a||4!==b||C||(C=ne\
+w Int32Array([-256,255,-256,255,-256,255,-256,255]));if(C)for(u=0;u<y;)for(d=0,f=0;d<b;d++,u++,f+=2)w[u]=(w[u]*C[f]>>8)+C[f+1];return w}get _isColorConversionNeeded(){return this.adobe?!!this.adobe.transformCode:3===this.numComponents?0!==this._colorTransform&&(82!==this.components[0].index||71!==this.components[1].index||66!==this.components[2].index):1===this._colorTransform}_convertYccToRgb(e){let t,a,r;for(let i=0,n=e.length;i<n;i+=3){t=e[i];a=e[i+1];r=e[i+2];e[i]=t-179.456+1.402*r;e[i+1]=t+\
+135.459-.344*a-.714*r;e[i+2]=t-226.816+1.772*a}return e}_convertYccToRgba(e,t){for(let a=0,r=0,i=e.length;a<i;a+=3,r+=4){const i=e[a],n=e[a+1],s=e[a+2];t[r]=i-179.456+1.402*s;t[r+1]=i+135.459-.344*n-.714*s;t[r+2]=i-226.816+1.772*n;t[r+3]=255}return t}_convertYcckToRgb(e){this._convertYcckToCmyk(e);return this._convertCmykToRgb(e)}_convertYcckToRgba(e){this._convertYcckToCmyk(e);return this._convertCmykToRgba(e)}_convertYcckToCmyk(e){let t,a,r;for(let i=0,n=e.length;i<n;i+=4){t=e[i];a=e[i+1];r=e[\
+i+2];e[i]=434.456-t-1.402*r;e[i+1]=119.541-t+.344*a+.714*r;e[i+2]=481.816-t-1.772*a}return e}_convertCmykToRgb(e){const t=e.length/4;ColorSpaceUtils.cmyk.getRgbBuffer(e,0,t,e,0,8,0);return e.subarray(0,3*t)}_convertCmykToRgba(e){ColorSpaceUtils.cmyk.getRgbBuffer(e,0,e.length/4,e,0,8,1);if(ColorSpaceUtils.cmyk instanceof DeviceCmykCS)for(let t=3,a=e.length;t<a;t+=4)e[t]=255;return e}getData({width:e,height:t,forceRGBA:a=!1,forceRGB:r=!1,isSourcePDF:i=!1}){if(this.numComponents>4)throw new JpegErr\
+or("Unsupported color mode");const n=this._getLinearizedBlockData(e,t,i);if(1===this.numComponents&&(a||r)){const e=n.length*(a?4:3),t=new Uint8ClampedArray(e);let r=0;if(a)!function grayToRGBA(e,t){if(FeatureTest.isLittleEndian)for(let a=0,r=e.length;a<r;a++)t[a]=65793*e[a]|4278190080;else for(let a=0,r=e.length;a<r;a++)t[a]=16843008*e[a]|255}(n,new Uint32Array(t.buffer));else for(const e of n){t[r++]=e;t[r++]=e;t[r++]=e}return t}if(3===this.numComponents&&this._isColorConversionNeeded){if(a){c\
+onst e=new Uint8ClampedArray(n.length/3*4);return this._convertYccToRgba(n,e)}return this._convertYccToRgb(n)}if(4===this.numComponents){if(this._isColorConversionNeeded)return a?this._convertYcckToRgba(n):r?this._convertYcckToRgb(n):this._convertYcckToCmyk(n);if(a)return this._convertCmykToRgba(n);if(r)return this._convertCmykToRgb(n)}return n}}class JpegStream extends DecodeStream{static#M=FeatureTest.isImageDecoderSupported;constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybe\
+Length=t;this.params=a}static get canUseImageDecoder(){return shadow(this,"canUseImageDecoder",this.#M?ImageDecoder.isTypeSupported("image/jpeg"):Promise.resolve(!1))}static setOptions({isImageDecoderSupported:e=!1}){this.#M=e}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(){this.decodeImage()}get jpegOptions(){const e={decodeTransform:void 0,colorTransform:void 0},t=this.dict.getArray("D","Decode");if((this.forceRGBA||this.forceRGB)&&Ar\
+ray.isArray(t)){const a=this.dict.get("BPC","BitsPerComponent")||8,r=t.length,i=new Int32Array(r);let n=!1;const s=(1<<a)-1;for(let e=0;e<r;e+=2){i[e]=256*(t[e+1]-t[e])|0;i[e+1]=t[e]*s|0;256===i[e]&&0===i[e+1]||(n=!0)}n&&(e.decodeTransform=i)}if(this.params instanceof Dict){const t=this.params.get("ColorTransform");Number.isInteger(t)&&(e.colorTransform=t)}return shadow(this,"jpegOptions",e)}#N(e){for(let t=0,a=e.length-1;t<a;t++)if(255===e[t]&&216===e[t+1]){t>0&&(e=e.subarray(t));break}return e\
+}decodeImage(e){if(this.eof)return this.buffer;e=this.#N(e||this.bytes);const t=new JpegImage(this.jpegOptions);t.parse(e);const a=t.getData({width:this.drawWidth,height:this.drawHeight,forceRGBA:this.forceRGBA,forceRGB:this.forceRGB,isSourcePDF:!0});this.buffer=a;this.bufferLength=a.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}async getTransferableImage(){if(!await JpegStream.canUseImageDecoder)return null;const e=this.jpegOptions;if(e.dec\
+odeTransform)return null;let t;try{const a=this.canAsyncDecodeImageFromBuffer&&await this.stream.asyncGetBytes()||this.bytes;if(!a)return null;let r=this.#N(a);const i=JpegImage.canUseImageDecoder(r,e.colorTransform);if(!i)return null;if(i.exifStart){r=r.slice();r.fill(0,i.exifStart,i.exifEnd)}t=new ImageDecoder({data:r,type:"image/jpeg",preferAnimation:!1});return(await t.decode()).image}catch(e){warn(`getTransferableImage - failed: "${e}".`);return null}finally{t?.close()}}}var OpenJPEG=async \
+function(e={}){var t,a,r=e,i=new Promise(((e,r)=>{t=e;a=r})),n="./this.program",quit_=(e,t)=>{throw t},s=import.meta.url;try{new URL(".",s).href}catch{}var o,c,l,h,u,d,f=console.log.bind(console),g=console.error.bind(console),p=!1;function updateMemoryViews(){var e=o.buffer;l=new Int8Array(e);new Int16Array(e);h=new Uint8Array(e);new Uint16Array(e);u=new Int32Array(e);d=new Uint32Array(e);new Float32Array(e);new Float64Array(e);new BigInt64Array(e);new BigUint64Array(e)}var m=0,b=null;class Exit\
+Status{name="ExitStatus";constructor(e){this.message=`Program terminated with exit(${e})`;this.status=e}}var callRuntimeCallbacks=e=>{for(;e.length>0;)e.shift()(r)},y=[],addOnPostRun=e=>y.push(e),w=[],addOnPreRun=e=>w.push(e),x=!0,S=0,k={},handleException=e=>{if(e instanceof ExitStatus||"unwind"==e)return c;quit_(0,e)},keepRuntimeAlive=()=>x||S>0,_proc_exit=e=>{c=e;if(!keepRuntimeAlive()){r.onExit?.(e);p=!0}quit_(0,new ExitStatus(e))},_exit=(e,t)=>{c=e;_proc_exit(e)},callUserCallback=e=>{if(!p)t\
+ry{e();(()=>{if(!keepRuntimeAlive())try{_exit(c)}catch(e){handleException(e)}})()}catch(e){handleException(e)}},growMemory=e=>{var t=(e-o.buffer.byteLength+65535)/65536|0;try{o.grow(t);updateMemoryViews();return 1}catch(e){}},C={},getEnvStrings=()=>{if(!getEnvStrings.strings){var e={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:("object"==typeof navigator&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:n||"./this.program"};for(var t\
+ in C)void 0===C[t]?delete e[t]:e[t]=C[t];var a=[];for(var t in e)a.push(`${t}=${e[t]}`);getEnvStrings.strings=a}return getEnvStrings.strings},lengthBytesUTF8=e=>{for(var t=0,a=0;a<e.length;++a){var r=e.charCodeAt(a);if(r<=127)t++;else if(r<=2047)t+=2;else if(r>=55296&&r<=57343){t+=4;++a}else t+=3}return t},v=[null,[],[]],F="undefined"!=typeof TextDecoder?new TextDecoder:void 0,UTF8ArrayToString=(e,t=0,a=NaN)=>{for(var r=t+a,i=t;e[i]&&!(i>=r);)++i;if(i-t>16&&e.buffer&&F)return F.decode(e.subarra\
+y(t,i));for(var n="";t<i;){var s=e[t++];if(128&s){var o=63&e[t++];if(192!=(224&s)){var c=63&e[t++];if((s=224==(240&s)?(15&s)<<12|o<<6|c:(7&s)<<18|o<<12|c<<6|63&e[t++])<65536)n+=String.fromCharCode(s);else{var l=s-65536;n+=String.fromCharCode(55296|l>>10,56320|1023&l)}}else n+=String.fromCharCode((31&s)<<6|o)}else n+=String.fromCharCode(s)}return n},printChar=(e,t)=>{var a=v[e];if(0===t||10===t){(1===e?f:g)(UTF8ArrayToString(a));a.length=0}else a.push(t)},UTF8ToString=(e,t)=>e?UTF8ArrayToString(h\
+,e,t):"";r.noExitRuntime&&(x=r.noExitRuntime);r.print&&(f=r.print);r.printErr&&(g=r.printErr);r.wasmBinary&&r.wasmBinary;r.arguments&&r.arguments;r.thisProgram&&(n=r.thisProgram);r.writeArrayToMemory=(e,t)=>{l.set(e,t)};var T={l:()=>function abort(e){r.onAbort?.(e);g(e="Aborted("+e+")");p=!0;e+=". Build with -sASSERTIONS for more info.";var t=new WebAssembly.RuntimeError(e);a(t);throw t}(""),k:()=>{x=!1;S=0},m:(e,t)=>{if(k[e]){clearTimeout(k[e].id);delete k[e]}if(!t)return 0;var a=setTimeout((()\
+=>{delete k[e];callUserCallback((()=>M(e,performance.now())))}),t);k[e]={id:a,timeout_ms:t};return 0},g:function _copy_pixels_1(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(t),i=u.subarray(e,e+t);a.set(i)},f:function _copy_pixels_3(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(3*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e<i;e++){n[3*e]=s[e];n[3*e+1]=o[e];n[3*e+2]=c[e]}},e:function _copy_pixels_4(e,t,a,i,n){e>>=2;t>>=2;a>>=2;i>>=2;co\
+nst s=r.imageData=new Uint8ClampedArray(4*n),o=u.subarray(e,e+n),c=u.subarray(t,t+n),l=u.subarray(a,a+n),h=u.subarray(i,i+n);for(let e=0;e<n;e++){s[4*e]=o[e];s[4*e+1]=c[e];s[4*e+2]=l[e];s[4*e+3]=h[e]}},n:e=>{var t,a,r=h.length,i=2147483648;if((e>>>=0)>i)return!1;for(var n=1;n<=4;n*=2){var s=r*(1+.2/n);s=Math.min(s,e+100663296);var o=Math.min(i,(t=Math.max(e,s),a=65536,Math.ceil(t/a)*a));if(growMemory(o))return!0}return!1},p:(e,t)=>{var a=0,r=0;for(var i of getEnvStrings()){var n=t+a;d[e+r>>2]=n;\
+a+=((e,t,a,r)=>{if(!(r>0))return 0;for(var i=a,n=a+r-1,s=0;s<e.length;++s){var o=e.charCodeAt(s);o>=55296&&o<=57343&&(o=65536+((1023&o)<<10)|1023&e.charCodeAt(++s));if(o<=127){if(a>=n)break;t[a++]=o}else if(o<=2047){if(a+1>=n)break;t[a++]=192|o>>6;t[a++]=128|63&o}else if(o<=65535){if(a+2>=n)break;t[a++]=224|o>>12;t[a++]=128|o>>6&63;t[a++]=128|63&o}else{if(a+3>=n)break;t[a++]=240|o>>18;t[a++]=128|o>>12&63;t[a++]=128|o>>6&63;t[a++]=128|63&o}}t[a]=0;return a-i})(i,h,n,1/0)+1;r+=4}return 0},q:(e,t)=\
+>{var a=getEnvStrings();d[e>>2]=a.length;var r=0;for(var i of a)r+=lengthBytesUTF8(i)+1;d[t>>2]=r;return 0},b:e=>52,o:function _fd_seek(e,t,a,r){t=(i=t)<-9007199254740992||i>9007199254740992?NaN:Number(i);var i;return 70},c:(e,t,a,r)=>{for(var i=0,n=0;n<a;n++){var s=d[t>>2],o=d[t+4>>2];t+=8;for(var c=0;c<o;c++)printChar(e,h[s+c]);i+=o}d[r>>2]=i;return 0},r:function _gray_to_rgba(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(4*t),i=u.subarray(e,e+t);for(let e=0;e<t;e++){a[4*e]=a[4*e+1]=a[4\
+*e+2]=i[e];a[4*e+3]=255}},i:function _graya_to_rgba(e,t,a){e>>=2;t>>=2;const i=r.imageData=new Uint8ClampedArray(4*a),n=u.subarray(e,e+a),s=u.subarray(t,t+a);for(let e=0;e<a;e++){i[4*e]=i[4*e+1]=i[4*e+2]=n[e];i[4*e+3]=s[e]}},d:function _jsPrintWarning(e){const t=UTF8ToString(e);(r.warn||console.warn)(`OpenJPEG: ${t}`)},j:_proc_exit,h:function _rgb_to_rgba(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(4*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let \
+e=0;e<i;e++){n[4*e]=s[e];n[4*e+1]=o[e];n[4*e+2]=c[e];n[4*e+3]=255}},a:function _storeErrorMessage(e){const t=UTF8ToString(e);r.errorMessages?r.errorMessages+="\\n"+t:r.errorMessages=t}},O=await async function createWasm(){function receiveInstance(e,t){O=e.exports;o=O.s;updateMemoryViews();!function removeRunDependency(e){m--;r.monitorRunDependencies?.(m);if(0==m&&b){var t=b;b=null;t()}}();return O}!function addRunDependency(e){m++;r.monitorRunDependencies?.(m)}();var e=function getWasmImports(){r\
+eturn{a:T}}();return new Promise(((t,a)=>{r.instantiateWasm(e,((e,a)=>{t(receiveInstance(e))}))}))}(),M=(O.t,r._malloc=O.u,r._free=O.v,r._jp2_decode=O.w,O.x);!function preInit(){if(r.preInit){"function"==typeof r.preInit&&(r.preInit=[r.preInit]);for(;r.preInit.length>0;)r.preInit.shift()()}}();!function run(){if(m>0)b=run;else{!function preRun(){if(r.preRun){"function"==typeof r.preRun&&(r.preRun=[r.preRun]);for(;r.preRun.length;)addOnPreRun(r.preRun.shift())}callRuntimeCallbacks(w)}();if(m>0)b=\
+run;else if(r.setStatus){r.setStatus("Running...");setTimeout((()=>{setTimeout((()=>r.setStatus("")),1);doRun()}),1)}else doRun()}function doRun(){r.calledRun=!0;if(!p){!function initRuntime(){O.t()}();t(r);r.onRuntimeInitialized?.();!function postRun(){if(r.postRun){"function"==typeof r.postRun&&(r.postRun=[r.postRun]);for(;r.postRun.length;)addOnPostRun(r.postRun.shift())}callRuntimeCallbacks(y)}()}}}();return i};const Ga=OpenJPEG;class JpxError extends fa{constructor(e){super(e,"JpxError")}}c\
+lass JpxImage{static#E=null;static#P=null;static#L=null;static#v=!0;static#j=!0;static#F=null;static setOptions({handler:e,useWasm:t,useWorkerFetch:a,wasmUrl:r}){this.#v=t;this.#j=a;this.#F=r;a||(this.#P=e)}static async#_(e){const t=`${this.#F}openjpeg_nowasm_fallback.js`;let a=null;try{a=(await import(\n/*webpackIgnore: true*/\n/*@vite-ignore*/\nt)).default()}catch(e){warn(`JpxImage#getJsModule: ${e}`)}e(a)}static async#U(e,t,a){const r="openjpeg.wasm";try{this.#E||(this.#j?this.#E=await fetchBina\
+ryData(`${this.#F}${r}`):this.#E=await this.#P.sendWithPromise("FetchBinaryData",{type:"wasmFactory",filename:r}));return a((await WebAssembly.instantiate(this.#E,t)).instance)}catch(t){warn(`JpxImage#instantiateWasm: ${t}`);this.#_(e);return null}finally{this.#P=null}}static async decode(e,{numComponents:t=4,isIndexedColormap:a=!1,smaskInData:r=!1,reducePower:i=0}={}){if(!this.#L){const{promise:e,resolve:t}=Promise.withResolvers(),a=[e];this.#v?a.push(Ga({warn,instantiateWasm:this.#U.bind(this,\
+t)})):this.#_(t);this.#L=Promise.race(a)}const n=await this.#L;if(!n)throw new JpxError("OpenJPEG failed to initialize");let s;try{const o=e.length;s=n._malloc(o);n.writeArrayToMemory(e,s);if(n._jp2_decode(s,o,t>0?t:0,!!a,!!r,i)){const{errorMessages:e}=n;if(e){delete n.errorMessages;throw new JpxError(e)}throw new JpxError("Unknown error")}const{imageData:c}=n;n.imageData=null;return c}finally{s&&n._free(s)}}static cleanup(){this.#L=null}static parseImageProperties(e){let t=e.getByte();for(;t>=0\
+;){const a=t;t=e.getByte();if(65361===(a<<8|t)){e.skip(4);const t=e.getInt32()>>>0,a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0;e.skip(16);return{width:t-r,height:a-i,bitsPerComponent:8,componentsCount:e.getUint16()}}}throw new JpxError("No size marker found in JPX stream")}}function addState(e,t,a,r,i){let n=e;for(let e=0,a=t.length-1;e<a;e++){const a=t[e];n=n[a]||=[]}n[t.at(-1)]={checkFn:a,iterateFn:r,processFn:i}}const Va=[];addState(Va,[Be,Ne,Yt,Re],null,(function iterateInlineIm\
+ageGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case 2:return a[t]===Yt;case 3:return a[t]===Re}throw new Error(`iterateInlineImageGroup - invalid pos: ${r}`)}),(function foundInlineImageGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1,c=Math.min(Math.floor((t-n)/4),200);if(c<10)return t-(t-n)%4;let l=0;const h=[];let u=0,d=1,f=1;for(let e=0;e<c;e++){const t=r[s+(e<<2)],a=r[o+(e<<2)][0];if(d+a.width>1e3){l=Math.m\
+ax(l,d);f+=u+2;d=0;u=0}h.push({transform:t,x:d,y:f,w:a.width,h:a.height});d+=a.width+2;u=Math.max(u,a.height)}const g=Math.max(l,d)+1,p=f+u+1,m=new Uint8Array(g*p*4),b=g<<2;for(let e=0;e<c;e++){const t=r[o+(e<<2)][0].data,a=h[e].w<<2;let i=0,n=h[e].x+h[e].y*g<<2;m.set(t.subarray(0,a),n-b);for(let r=0,s=h[e].h;r<s;r++){m.set(t.subarray(i,i+a),n);i+=a;n+=b}m.set(t.subarray(i-a,i),n);for(;n>=0;){t[n-4]=t[n];t[n-3]=t[n+1];t[n-2]=t[n+2];t[n-1]=t[n+3];t[n+a]=t[n+a-4];t[n+a+1]=t[n+a-3];t[n+a+2]=t[n+a-2\
+];t[n+a+3]=t[n+a-1];n-=b}}const y={width:g,height:p};if(e.isOffscreenCanvasSupported){const e=new OffscreenCanvas(g,p);e.getContext("2d").putImageData(new ImageData(new Uint8ClampedArray(m.buffer),g,p),0,0);y.bitmap=e.transferToImageBitmap();y.data=null}else{y.kind=v;y.data=m}a.splice(n,4*c,Zt);r.splice(n,4*c,[y,h]);return n+1}));addState(Va,[Be,Ne,Vt,Re],null,(function iterateImageMaskGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case\
+ 2:return a[t]===Vt;case 3:return a[t]===Re}throw new Error(`iterateImageMaskGroup - invalid pos: ${r}`)}),(function foundImageMaskGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1;let c=Math.floor((t-n)/4);if(c<10)return t-(t-n)%4;let l,h,u=!1;const d=r[o][0],f=r[s][0],g=r[s][1],p=r[s][2],m=r[s][3];if(g===p){u=!0;l=s+4;let e=o+4;for(let t=1;t<c;t++,l+=4,e+=4){h=r[l];if(r[e][0]!==d||h[0]!==f||h[1]!==g||h[2]!==p||h[3]!==m){t<10?u=!1:c=t;break}}}if(u){c=Math.min(c,1e3);const e\
+=new Float32Array(2*c);l=s;for(let t=0;t<c;t++,l+=4){h=r[l];e[t<<1]=h[4];e[1+(t<<1)]=h[5]}a.splice(n,4*c,ea);r.splice(n,4*c,[d,f,g,p,m,e])}else{c=Math.min(c,100);const e=[];for(let t=0;t<c;t++){h=r[s+(t<<2)];const a=r[o+(t<<2)][0];e.push({data:a.data,width:a.width,height:a.height,interpolate:a.interpolate,count:a.count,transform:h})}a.splice(n,4*c,Kt);r.splice(n,4*c,[e])}return n+1}));addState(Va,[Be,Ne,Jt,Re],(function(e){const t=e.argsArray,a=e.iCurr-2;return 0===t[a][1]&&0===t[a][2]}),(functi\
+on iterateImageGroup(e,t){const a=e.fnArray,r=e.argsArray,i=(t-(e.iCurr-3))%4;switch(i){case 0:return a[t]===Be;case 1:if(a[t]!==Ne)return!1;const i=e.iCurr-2,n=r[i][0],s=r[i][3];return r[t][0]===n&&0===r[t][1]&&0===r[t][2]&&r[t][3]===s;case 2:if(a[t]!==Jt)return!1;const o=r[e.iCurr-1][0];return r[t][0]===o;case 3:return a[t]===Re}throw new Error(`iterateImageGroup - invalid pos: ${i}`)}),(function(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=r[i-1][0],c=r[s][0],l=r[s][3],h=Math.\
+min(Math.floor((t-n)/4),1e3);if(h<3)return t-(t-n)%4;const u=new Float32Array(2*h);let d=s;for(let e=0;e<h;e++,d+=4){const t=r[d];u[e<<1]=t[4];u[1+(e<<1)]=t[5]}const f=[o,c,l,u];a.splice(n,4*h,Qt);r.splice(n,4*h,f);return n+1}));addState(Va,[Qe,nt,ht,dt,et],null,(function iterateShowTextGroup(e,t){const a=e.fnArray,r=e.argsArray,i=(t-(e.iCurr-4))%5;switch(i){case 0:return a[t]===Qe;case 1:return a[t]===nt;case 2:return a[t]===ht;case 3:if(a[t]!==dt)return!1;const i=e.iCurr-3,n=r[i][0],s=r[i][1];\
+return r[t][0]===n&&r[t][1]===s;case 4:return a[t]===et}throw new Error(`iterateShowTextGroup - invalid pos: ${i}`)}),(function(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-4,s=i-3,o=i-2,c=i-1,l=i,h=r[s][0],u=r[s][1];let d=Math.min(Math.floor((t-n)/5),1e3);if(d<3)return t-(t-n)%5;let f=n;if(n>=4&&a[n-4]===a[s]&&a[n-3]===a[o]&&a[n-2]===a[c]&&a[n-1]===a[l]&&r[n-4][0]===h&&r[n-4][1]===u){d++;f-=5}let g=f+4;for(let e=1;e<d;e++){a.splice(g,3);r.splice(g,3);g+=2}return g+1}));addState(Va,[Be,Ne,\
+aa,Re],(e=>{const t=e.argsArray,a=t[e.iCurr-1][0];if(a!==qe&&a!==He&&a!==$e&&a!==Ge&&a!==Ve&&a!==Ke)return!0;const r=t[e.iCurr-2];return 1===r[0]&&0===r[1]&&0===r[2]&&1===r[3]}),(()=>!1),((e,t)=>{const{fnArray:a,argsArray:r}=e,i=e.iCurr,n=i-3,s=i-2,o=r[i-1],c=r[s],[,[l],h]=o;if(h){Util.scaleMinMax(c,h);for(let e=0,t=l.length;e<t;)switch(l[e++]){case sa:case oa:Util.applyTransform(l,c,e);e+=2;break;case ca:Util.applyTransformToBezier(l,c,e);e+=6}}a.splice(n,4,aa);r.splice(n,4,o);return n+1}));cla\
+ss NullOptimizer{constructor(e){this.queue=e}_optimize(){}push(e,t){this.queue.fnArray.push(e);this.queue.argsArray.push(t);this._optimize()}flush(){}reset(){}}class QueueOptimizer extends NullOptimizer{constructor(e){super(e);this.state=null;this.context={iCurr:0,fnArray:e.fnArray,argsArray:e.argsArray,isOffscreenCanvasSupported:OperatorList.isOffscreenCanvasSupported};this.match=null;this.lastProcessed=0}_optimize(){const e=this.queue.fnArray;let t=this.lastProcessed,a=e.length,r=this.state,i=\
+this.match;if(!r&&!i&&t+1===a&&!Va[e[t]]){this.lastProcessed=a;return}const n=this.context;for(;t<a;){if(i){if((0,i.iterateFn)(n,t)){t++;continue}t=(0,i.processFn)(n,t+1);a=e.length;i=null;r=null;if(t>=a)break}r=(r||Va)[e[t]];if(r&&!Array.isArray(r)){n.iCurr=t;t++;if(!r.checkFn||(0,r.checkFn)(n)){i=r;r=null}else r=null}else t++}this.state=r;this.match=i;this.lastProcessed=t}flush(){for(;this.match;){const e=this.queue.fnArray.length;this.lastProcessed=(0,this.match.processFn)(this.context,e);thi\
+s.match=null;this.state=null;this._optimize()}}reset(){this.state=null;this.match=null;this.lastProcessed=0}}class OperatorList{static CHUNK_SIZE=1e3;static CHUNK_SIZE_ABOUT=this.CHUNK_SIZE-5;static isOffscreenCanvasSupported=!1;constructor(e=0,t){this._streamSink=t;this.fnArray=[];this.argsArray=[];this.optimizer=!t||e&d?new NullOptimizer(this):new QueueOptimizer(this);this.dependencies=new Set;this._totalLength=0;this.weight=0;this._resolved=t?null:Promise.resolve()}static setOptions({isOffscr\
+eenCanvasSupported:e}){this.isOffscreenCanvasSupported=e}get length(){return this.argsArray.length}get ready(){return this._resolved||this._streamSink.ready}get totalLength(){return this._totalLength+this.length}addOp(e,t){this.optimizer.push(e,t);this.weight++;this._streamSink&&(this.weight>=OperatorList.CHUNK_SIZE||this.weight>=OperatorList.CHUNK_SIZE_ABOUT&&(e===Re||e===et))&&this.flush()}addImageOps(e,t,a,r=!1){if(r){this.addOp(Be);this.addOp(De,[[["SMask",!1]]])}void 0!==a&&this.addOp(jt,["\
+OC",a]);this.addOp(e,t);void 0!==a&&this.addOp(_t,[]);r&&this.addOp(Re)}addDependency(e){if(!this.dependencies.has(e)){this.dependencies.add(e);this.addOp(ke,[e])}}addDependencies(e){for(const t of e)this.addDependency(t)}addOpList(e){if(e instanceof OperatorList){for(const t of e.dependencies)this.dependencies.add(t);for(let t=0,a=e.length;t<a;t++)this.addOp(e.fnArray[t],e.argsArray[t])}else warn(\'addOpList - ignoring invalid "opList" parameter.\')}getIR(){return{fnArray:this.fnArray,argsArray:t\
+his.argsArray,length:this.length}}get _transfers(){const e=[],{fnArray:t,argsArray:a,length:r}=this;for(let i=0;i<r;i++)switch(t[i]){case Yt:case Zt:case Vt:{const{bitmap:t,data:r}=a[i][0];(t||r?.buffer)&&e.push(t||r.buffer);break}case aa:{const[,[t],r]=a[i];t&&e.push(t.buffer,r.buffer);break}case qt:const[t,r]=a[i];t&&e.push(t.buffer);r&&e.push(r.buffer);break;case ht:e.push(a[i][0].buffer)}return e}flush(e=!1,t=null){this.optimizer.flush();const a=this.length;this._totalLength+=a;this._streamS\
+ink.enqueue({fnArray:this.fnArray,argsArray:this.argsArray,lastChunk:e,separateAnnots:t,length:a},1,this._transfers);this.dependencies.clear();this.fnArray.length=0;this.argsArray.length=0;this.weight=0;this.optimizer.reset()}}function hexToInt(e,t){let a=0;for(let r=0;r<=t;r++)a=a<<8|e[r];return a>>>0}function hexToStr(e,t){return 1===t?String.fromCharCode(e[0],e[1]):3===t?String.fromCharCode(e[0],e[1],e[2],e[3]):String.fromCharCode(...e.subarray(0,t+1))}function addHex(e,t,a){let r=0;for(let i\
+=a;i>=0;i--){r+=e[i]+t[i];e[i]=255&r;r>>=8}}function incHex(e,t){let a=1;for(let r=t;r>=0&&a>0;r--){a+=e[r];e[r]=255&a;a>>=8}}const Ka=16;class BinaryCMapStream{constructor(e){this.buffer=e;this.pos=0;this.end=e.length;this.tmpBuf=new Uint8Array(19)}readByte(){return this.pos>=this.end?-1:this.buffer[this.pos++]}readNumber(){let e,t=0;do{const a=this.readByte();if(a<0)throw new FormatError("unexpected EOF in bcmap");e=!(128&a);t=t<<7|127&a}while(!e);return t}readSigned(){const e=this.readNumber(\
+);return 1&e?~(e>>>1):e>>>1}readHex(e,t){e.set(this.buffer.subarray(this.pos,this.pos+t+1));this.pos+=t+1}readHexNumber(e,t){let a;const r=this.tmpBuf;let i=0;do{const e=this.readByte();if(e<0)throw new FormatError("unexpected EOF in bcmap");a=!(128&e);r[i++]=127&e}while(!a);let n=t,s=0,o=0;for(;n>=0;){for(;o<8&&r.length>0;){s|=r[--i]<<o;o+=7}e[n]=255&s;n--;s>>=8;o-=8}}readHexSigned(e,t){this.readHexNumber(e,t);const a=1&e[t]?255:0;let r=0;for(let i=0;i<=t;i++){r=(1&r)<<8|e[i];e[i]=r>>1^a}}readS\
+tring(){const e=this.readNumber(),t=new Array(e);for(let a=0;a<e;a++)t[a]=this.readNumber();return String.fromCharCode(...t)}}class BinaryCMapReader{async process(e,t,a){const r=new BinaryCMapStream(e),i=r.readByte();t.vertical=!!(1&i);let n=null;const s=new Uint8Array(Ka),o=new Uint8Array(Ka),c=new Uint8Array(Ka),l=new Uint8Array(Ka),h=new Uint8Array(Ka);let u,d;for(;(d=r.readByte())>=0;){const e=d>>5;if(7===e){switch(31&d){case 0:r.readString();break;case 1:n=r.readString()}continue}const a=!!\
+(16&d),i=15&d;if(i+1>Ka)throw new Error("BinaryCMapReader.process: Invalid dataSize.");const f=1,g=r.readNumber();switch(e){case 0:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,i),hexToInt(o,i));for(let e=1;e<g;e++){incHex(o,i);r.readHexNumber(s,i);addHex(s,o,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,i),hexToInt(o,i))}break;case 1:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);r.readNumber();for(let e=1;e<g;e++){incHex(o,i)\
+;r.readHexNumber(s,i);addHex(s,o,i);r.readHexNumber(o,i);addHex(o,s,i);r.readNumber()}break;case 2:r.readHex(c,i);u=r.readNumber();t.mapOne(hexToInt(c,i),u);for(let e=1;e<g;e++){incHex(c,i);if(!a){r.readHexNumber(h,i);addHex(c,h,i)}u=r.readSigned()+(u+1);t.mapOne(hexToInt(c,i),u)}break;case 3:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);u=r.readNumber();t.mapCidRange(hexToInt(s,i),hexToInt(o,i),u);for(let e=1;e<g;e++){incHex(o,i);if(a)s.set(o);else{r.readHexNumber(s,i);addHex(s,o,i)}r.readH\
+exNumber(o,i);addHex(o,s,i);u=r.readNumber();t.mapCidRange(hexToInt(s,i),hexToInt(o,i),u)}break;case 4:r.readHex(c,f);r.readHex(l,i);t.mapOne(hexToInt(c,f),hexToStr(l,i));for(let e=1;e<g;e++){incHex(c,f);if(!a){r.readHexNumber(h,f);addHex(c,h,f)}incHex(l,i);r.readHexSigned(h,i);addHex(l,h,i);t.mapOne(hexToInt(c,f),hexToStr(l,i))}break;case 5:r.readHex(s,f);r.readHexNumber(o,f);addHex(o,s,f);r.readHex(l,i);t.mapBfRange(hexToInt(s,f),hexToInt(o,f),hexToStr(l,i));for(let e=1;e<g;e++){incHex(o,f);if\
+(a)s.set(o);else{r.readHexNumber(s,f);addHex(s,o,f)}r.readHexNumber(o,f);addHex(o,s,f);r.readHex(l,i);t.mapBfRange(hexToInt(s,f),hexToInt(o,f),hexToStr(l,i))}break;default:throw new Error(`BinaryCMapReader.process - unknown type: ${e}`)}}return n?a(n):t}}class Ascii85Stream extends DecodeStream{constructor(e,t){t&&(t*=.8);super(t);this.str=e;this.dict=e.dict;this.input=new Uint8Array(5)}readBlock(){const e=this.str;let t=e.getByte();for(;isWhiteSpace(t);)t=e.getByte();if(-1===t||126===t){this.eo\
+f=!0;return}const a=this.bufferLength;let r,i;if(122===t){r=this.ensureBuffer(a+4);for(i=0;i<4;++i)r[a+i]=0;this.bufferLength+=4}else{const n=this.input;n[0]=t;for(i=1;i<5;++i){t=e.getByte();for(;isWhiteSpace(t);)t=e.getByte();n[i]=t;if(-1===t||126===t)break}r=this.ensureBuffer(a+i-1);this.bufferLength+=i-1;if(i<5){for(;i<5;++i)n[i]=117;this.eof=!0}let s=0;for(i=0;i<5;++i)s=85*s+(n[i]-33);for(i=3;i>=0;--i){r[a+i]=255&s;s>>=8}}}}class AsciiHexStream extends DecodeStream{constructor(e,t){t&&(t*=.5\
+);super(t);this.str=e;this.dict=e.dict;this.firstDigit=-1}readBlock(){const e=this.str.getBytes(8e3);if(!e.length){this.eof=!0;return}const t=e.length+1>>1,a=this.ensureBuffer(this.bufferLength+t);let r=this.bufferLength,i=this.firstDigit;for(const t of e){let e;if(t>=48&&t<=57)e=15&t;else{if(!(t>=65&&t<=70||t>=97&&t<=102)){if(62===t){this.eof=!0;break}continue}e=9+(15&t)}if(i<0)i=e;else{a[r++]=i<<4|e;i=-1}}if(i>=0&&this.eof){a[r++]=i<<4;i=-1}this.firstDigit=i;this.bufferLength=r}}const Ja=-1,Ya\
+=[[-1,-1],[-1,-1],[7,8],[7,7],[6,6],[6,6],[6,5],[6,5],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1\
+,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2]],Za=[[-1,-1],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[12,1984],[12,2048],[12,2112],[12,2176],[12,2240],[12,2304],[11,1856],[11\
+,1856],[11,1920],[11,1920],[12,2368],[12,2432],[12,2496],[12,2560]],Qa=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[8,29],[8,29],[8,30],[8,30],[8,45],[8,45],[8,46],[8,46],[7,22],[7,22],[7,22],[7,22],[7,23],[7,23],[7,23],[7,23],[8,47],[8,47],[8,48],[8,48],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[7,20],[7,20],[7,20],[7,20],[8,33],[8,33],[8,34],[8,34],[8,35],[8,35],[8,36],[8,36],[8,37],[8,37],[8,38],[8,38],[7,19],[7,19],[7,19],[7,19],[8,31],[8,31],[8,32],[8,32],[6,1],[6,1],[6,1],[6,1],[6,1],[6\
+,1],[6,1],[6,1],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[8,53],[8,53],[8,54],[8,54],[7,26],[7,26],[7,26],[7,26],[8,39],[8,39],[8,40],[8,40],[8,41],[8,41],[8,42],[8,42],[8,43],[8,43],[8,44],[8,44],[7,21],[7,21],[7,21],[7,21],[7,28],[7,28],[7,28],[7,28],[8,61],[8,61],[8,62],[8,62],[8,63],[8,63],[8,0],[8,0],[8,320],[8,320],[8,384],[8,384],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,11],[5,11],[5,11],[5,11],[5,11]\
+,[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[7,27],[7,27],[7,27],[7,27],[8,59],[8,59],[8,60],[8,60],[9,1472],[9,1536],[9,1600],[9,1728],[7,18],[7,18],[7,18],[7,18],[7,24],[7,24],[7,24],[7,24],[8,49],[8,49],[8,50],[8,50],[8,51],[8,51],[8,52],[8,52],[7,25],[7,25],[7,25],[7,25],[8,55],[8,55],[8,56],[8,56],[8,57],[8,57],[8,58],[8,58],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664\
+],[8,448],[8,448],[8,512],[8,512],[9,704],[9,768],[8,640],[8,640],[8,576],[8,576],[9,832],[9,896],[9,960],[9,1024],[9,1088],[9,1152],[9,1216],[9,1280],[9,1344],[9,1408],[7,256],[7,256],[7,256],[7,256],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3]\
+,[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,17],[6,17],[6,17],[6,17],[6,17],[6,1\
+7],[6,17],[6,17],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[\
+6,15],[6,15],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,\
+7],[4,7]],er=[[-1,-1],[-1,-1],[12,-2],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[11,1792],[11,1792],[12,1984],[12,1984],[12,2048],[12,2048],[12,2112],[12,2112],[12,2176],[12,2176],[12,2240],[12,2240],[12,2304],[12,2304],[11,1856],[11,1856],[11,1856],[11,1856],[11,1920],[11,1920],[11,1920],\
+[11,1920],[12,2368],[12,2368],[12,2432],[12,2432],[12,2496],[12,2496],[12,2560],[12,2560],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[12,52],[12,52],[13,640],[13,704],[13,768],[13,832],[12,55],[12,55],[12,56],[12,56],[13,1280],[13,1344],[13,1408],[13,1472],[12,59],[12,59],[12,60],[12,60],[13,1536],[13,1600],[11,24],[11,24],[11,24],[11,24],[11,25],[11,25],[11,25],[11,25],[13,1664],[13,1728],[12,320],[12,320],[12,384],[12,384],[12,448],[12,448],[13,512],[13,576],[12,53],[12,53\
+],[12,54],[12,54],[13,896],[13,960],[13,1024],[13,1088],[13,1152],[13,1216],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64]],tr=[[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[11,23],[11,23],[12,50],[12,51],[12,44],[12,45],[12,46],[12,47],[12,57],[12,58],[12,61],[12,256],[10,16],[10,16],[10,16],[10,16],[10,17],[10,17],[10,17],[10,17],[12,48],[12,49],[12,62],[12,63],[12,30],[12,31],[12,32],[12,33],[12,40],[12,41],[1\
+1,22],[11,22],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,\
+11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[12,128],[12,192],[12,26],[12,27],[12,28],[12,29],[11,19],[11,19],[11,20],[11,20],[12,34],[12,35],[12,36],[12,37],[12,38],[12,39],[11,21],[11,21],[12,42],[12,43],[10,0],[10,0],[10,0],[10,0],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12\
+],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12]],ar=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[6,9],[6,8],[5,7],[5,7],[4,6],[4,6],[4,6],[4,6],[4,5],[4,5],[4,5],[4,5],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2]];class CCITTFaxDecoder{constructor(e,t={}){if("function"!=t\
+ypeof e?.next)throw new Error(\'CCITTFaxDecoder - invalid "source" parameter.\');this.source=e;this.eof=!1;this.encoding=t.K||0;this.eoline=t.EndOfLine||!1;this.byteAlign=t.EncodedByteAlign||!1;this.columns=t.Columns||1728;this.rows=t.Rows||0;this.eoblock=t.EndOfBlock??!0;this.black=t.BlackIs1||!1;this.codingLine=new Uint32Array(this.columns+1);this.refLine=new Uint32Array(this.columns+2);this.codingLine[0]=this.columns;this.codingPos=0;this.row=0;this.nextLine2D=this.encoding<0;this.inputBits=0;t\
+his.inputBuf=0;this.outputBits=0;this.rowsDone=!1;let a;for(;0===(a=this._lookBits(12));)this._eatBits(1);1===a&&this._eatBits(12);if(this.encoding>0){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}}readNextChar(){if(this.eof)return-1;const e=this.refLine,t=this.codingLine,a=this.columns;let r,i,n,s,o;if(0===this.outputBits){this.rowsDone&&(this.eof=!0);if(this.eof)return-1;this.err=!1;let n,o,c;if(this.nextLine2D){for(s=0;t[s]<a;++s)e[s]=t[s];e[s++]=a;e[s]=a;t[0]=0;this.codingPos=0;r=0;i=0\
+;for(;t[this.codingPos]<a;){n=this._getTwoDimCode();switch(n){case 0:this._addPixels(e[r+1],i);e[r+1]<a&&(r+=2);break;case 1:n=o=0;if(i){do{n+=c=this._getBlackCode()}while(c>=64);do{o+=c=this._getWhiteCode()}while(c>=64)}else{do{n+=c=this._getWhiteCode()}while(c>=64);do{o+=c=this._getBlackCode()}while(c>=64)}this._addPixels(t[this.codingPos]+n,i);t[this.codingPos]<a&&this._addPixels(t[this.codingPos]+o,1^i);for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2;break;case 7:this._addPixels(e[r]+3,i);i^=1;if\
+(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 5:this._addPixels(e[r]+2,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 3:this._addPixels(e[r]+1,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 2:this._addPixels(e[r],i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 8:this._addPixelsNeg(e[r]-3,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;\
+e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 6:this._addPixelsNeg(e[r]-2,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 4:this._addPixelsNeg(e[r]-1,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case Ja:this._addPixels(a,0);this.eof=!0;break;default:info("bad 2d code");this._addPixels(a,0);this.err=!0}}}else{t[0]=0;this.codingPos=0;i=0;for(;t[this.codingPos]<a;){n=0;if(i)do{n+=c=this._getBlackCod\
+e()}while(c>=64);else do{n+=c=this._getWhiteCode()}while(c>=64);this._addPixels(t[this.codingPos]+n,i);i^=1}}let l=!1;this.byteAlign&&(this.inputBits&=-8);if(this.eoblock||this.row!==this.rows-1){n=this._lookBits(12);if(this.eoline)for(;n!==Ja&&1!==n;){this._eatBits(1);n=this._lookBits(12)}else for(;0===n;){this._eatBits(1);n=this._lookBits(12)}if(1===n){this._eatBits(12);l=!0}else n===Ja&&(this.eof=!0)}else this.rowsDone=!0;if(!this.eof&&this.encoding>0&&!this.rowsDone){this.nextLine2D=!this._l\
+ookBits(1);this._eatBits(1)}if(this.eoblock&&l&&this.byteAlign){n=this._lookBits(12);if(1===n){this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}if(this.encoding>=0)for(s=0;s<4;++s){n=this._lookBits(12);1!==n&&info("bad rtc code: "+n);this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}}this.eof=!0}}else if(this.err&&this.eoline){for(;;){n=this._lookBits(13);if(n===Ja){this.eof=!0;return-1}if(n>>1==1)break;this._eatBits(1)}this._eatBits(12);if(this.enc\
+oding>0){this._eatBits(1);this.nextLine2D=!(1&n)}}this.outputBits=t[0]>0?t[this.codingPos=0]:t[this.codingPos=1];this.row++}if(this.outputBits>=8){o=1&this.codingPos?0:255;this.outputBits-=8;if(0===this.outputBits&&t[this.codingPos]<a){this.codingPos++;this.outputBits=t[this.codingPos]-t[this.codingPos-1]}}else{n=8;o=0;do{if("number"!=typeof this.outputBits)throw new FormatError(\'Invalid /CCITTFaxDecode data, "outputBits" must be a number.\');if(this.outputBits>n){o<<=n;1&this.codingPos||(o|=255>\
+>8-n);this.outputBits-=n;n=0}else{o<<=this.outputBits;1&this.codingPos||(o|=255>>8-this.outputBits);n-=this.outputBits;this.outputBits=0;if(t[this.codingPos]<a){this.codingPos++;this.outputBits=t[this.codingPos]-t[this.codingPos-1]}else if(n>0){o<<=n;n=0}}}while(n)}this.black&&(o^=255);return o}_addPixels(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}this.codingPos=r}_addPixelsNeg(e,t){cons\
+t a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}else if(e<a[r]){if(e<0){info("invalid code");this.err=!0;e=0}for(;r>0&&e<a[r-1];)--r;a[r]=e}this.codingPos=r}_findTableCode(e,t,a,r){const i=r||0;for(let r=e;r<=t;++r){let e=this._lookBits(r);if(e===Ja)return[!0,1,!1];r<t&&(e<<=t-r);if(!i||e>=i){const t=a[e-i];if(t[0]===r){this._eatBits(r);return[!0,t[1],!0]}}}return[!1,0,!1]}_getTwoDimCode(){let e,t=0;i\
+f(this.eoblock){t=this._lookBits(7);e=Ya[t];if(e?.[0]>0){this._eatBits(e[0]);return e[1]}}else{const e=this._findTableCode(1,7,Ya);if(e[0]&&e[2])return e[1]}info("Bad two dim code");return Ja}_getWhiteCode(){let e,t=0;if(this.eoblock){t=this._lookBits(12);if(t===Ja)return 1;e=t>>5?Qa[t>>3]:Za[t];if(e[0]>0){this._eatBits(e[0]);return e[1]}}else{let e=this._findTableCode(1,9,Qa);if(e[0])return e[1];e=this._findTableCode(11,12,Za);if(e[0])return e[1]}info("bad white code");this._eatBits(1);return 1\
+}_getBlackCode(){let e,t;if(this.eoblock){e=this._lookBits(13);if(e===Ja)return 1;t=e>>7?!(e>>9)&&e>>7?tr[(e>>1)-64]:ar[e>>7]:er[e];if(t[0]>0){this._eatBits(t[0]);return t[1]}}else{let e=this._findTableCode(2,6,ar);if(e[0])return e[1];e=this._findTableCode(7,12,tr,64);if(e[0])return e[1];e=this._findTableCode(10,13,er);if(e[0])return e[1]}info("bad black code");this._eatBits(1);return 1}_lookBits(e){let t;for(;this.inputBits<e;){if(-1===(t=this.source.next()))return 0===this.inputBits?Ja:this.in\
+putBuf<<e-this.inputBits&65535>>16-e;this.inputBuf=this.inputBuf<<8|t;this.inputBits+=8}return this.inputBuf>>this.inputBits-e&65535>>16-e}_eatBits(e){(this.inputBits-=e)<0&&(this.inputBits=0)}}class CCITTFaxStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;a instanceof Dict||(a=Dict.empty);const r={next:()=>e.getByte()};this.ccittFaxDecoder=new CCITTFaxDecoder(r,{K:a.get("K"),EndOfLine:a.get("EndOfLine"),EncodedByteAlign:a.get("EncodedByteAlign"),Columns:a.get(\
+"Columns"),Rows:a.get("Rows"),EndOfBlock:a.get("EndOfBlock"),BlackIs1:a.get("BlackIs1")})}readBlock(){for(;!this.eof;){const e=this.ccittFaxDecoder.readNextChar();if(-1===e){this.eof=!0;return}this.ensureBuffer(this.bufferLength+1);this.buffer[this.bufferLength++]=e}}}const rr=new Int32Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),ir=new Int32Array([3,4,5,6,7,8,9,10,65547,65549,65551,65553,131091,131095,131099,131103,196643,196651,196659,196667,262211,262227,262243,262259,327811,327843\
+,327875,327907,258,258,258]),nr=new Int32Array([1,2,3,4,65541,65543,131081,131085,196625,196633,262177,262193,327745,327777,393345,393409,459009,459137,524801,525057,590849,591361,657409,658433,724993,727041,794625,798721,868353,876545]),sr=[new Int32Array([459008,524368,524304,524568,459024,524400,524336,590016,459016,524384,524320,589984,524288,524416,524352,590048,459012,524376,524312,589968,459028,524408,524344,590032,459020,524392,524328,59e4,524296,524424,524360,590064,459010,524372,524308\
+,524572,459026,524404,524340,590024,459018,524388,524324,589992,524292,524420,524356,590056,459014,524380,524316,589976,459030,524412,524348,590040,459022,524396,524332,590008,524300,524428,524364,590072,459009,524370,524306,524570,459025,524402,524338,590020,459017,524386,524322,589988,524290,524418,524354,590052,459013,524378,524314,589972,459029,524410,524346,590036,459021,524394,524330,590004,524298,524426,524362,590068,459011,524374,524310,524574,459027,524406,524342,590028,459019,524390,52\
+4326,589996,524294,524422,524358,590060,459015,524382,524318,589980,459031,524414,524350,590044,459023,524398,524334,590012,524302,524430,524366,590076,459008,524369,524305,524569,459024,524401,524337,590018,459016,524385,524321,589986,524289,524417,524353,590050,459012,524377,524313,589970,459028,524409,524345,590034,459020,524393,524329,590002,524297,524425,524361,590066,459010,524373,524309,524573,459026,524405,524341,590026,459018,524389,524325,589994,524293,524421,524357,590058,459014,52438\
+1,524317,589978,459030,524413,524349,590042,459022,524397,524333,590010,524301,524429,524365,590074,459009,524371,524307,524571,459025,524403,524339,590022,459017,524387,524323,589990,524291,524419,524355,590054,459013,524379,524315,589974,459029,524411,524347,590038,459021,524395,524331,590006,524299,524427,524363,590070,459011,524375,524311,524575,459027,524407,524343,590030,459019,524391,524327,589998,524295,524423,524359,590062,459015,524383,524319,589982,459031,524415,524351,590046,459023,5\
+24399,524335,590014,524303,524431,524367,590078,459008,524368,524304,524568,459024,524400,524336,590017,459016,524384,524320,589985,524288,524416,524352,590049,459012,524376,524312,589969,459028,524408,524344,590033,459020,524392,524328,590001,524296,524424,524360,590065,459010,524372,524308,524572,459026,524404,524340,590025,459018,524388,524324,589993,524292,524420,524356,590057,459014,524380,524316,589977,459030,524412,524348,590041,459022,524396,524332,590009,524300,524428,524364,590073,4590\
+09,524370,524306,524570,459025,524402,524338,590021,459017,524386,524322,589989,524290,524418,524354,590053,459013,524378,524314,589973,459029,524410,524346,590037,459021,524394,524330,590005,524298,524426,524362,590069,459011,524374,524310,524574,459027,524406,524342,590029,459019,524390,524326,589997,524294,524422,524358,590061,459015,524382,524318,589981,459031,524414,524350,590045,459023,524398,524334,590013,524302,524430,524366,590077,459008,524369,524305,524569,459024,524401,524337,590019,\
+459016,524385,524321,589987,524289,524417,524353,590051,459012,524377,524313,589971,459028,524409,524345,590035,459020,524393,524329,590003,524297,524425,524361,590067,459010,524373,524309,524573,459026,524405,524341,590027,459018,524389,524325,589995,524293,524421,524357,590059,459014,524381,524317,589979,459030,524413,524349,590043,459022,524397,524333,590011,524301,524429,524365,590075,459009,524371,524307,524571,459025,524403,524339,590023,459017,524387,524323,589991,524291,524419,524355,590\
+055,459013,524379,524315,589975,459029,524411,524347,590039,459021,524395,524331,590007,524299,524427,524363,590071,459011,524375,524311,524575,459027,524407,524343,590031,459019,524391,524327,589999,524295,524423,524359,590063,459015,524383,524319,589983,459031,524415,524351,590047,459023,524399,524335,590015,524303,524431,524367,590079]),9],or=[new Int32Array([327680,327696,327688,327704,327684,327700,327692,327708,327682,327698,327690,327706,327686,327702,327694,0,327681,327697,327689,327705,\
+327685,327701,327693,327709,327683,327699,327691,327707,327687,327703,327695,0]),5];class FlateStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict;const a=e.getByte(),r=e.getByte();if(-1===a||-1===r)throw new FormatError(`Invalid header in flate stream: ${a}, ${r}`);if(8!=(15&a))throw new FormatError(`Unknown compression method in flate stream: ${a}, ${r}`);if(((a<<8)+r)%31!=0)throw new FormatError(`Bad FCHECK in flate stream: ${a}, ${r}`);if(32&r)throw new FormatEr\
+ror(`FDICT bit set in flate stream: ${a}, ${r}`);this.codeSize=0;this.codeBuf=0}async getImageData(e,t){const a=await this.asyncGetBytes();return a?a.length<=e?a:a.subarray(0,e):this.getBytes(e)}async asyncGetBytes(){this.str.reset();const e=this.str.getBytes();try{const{readable:t,writable:a}=new DecompressionStream("deflate"),r=a.getWriter();await r.ready;r.write(e).then((async()=>{await r.ready;await r.close()})).catch((()=>{}));const i=[];let n=0;for await(const e of t){i.push(e);n+=e.byteLe\
+ngth}const s=new Uint8Array(n);let o=0;for(const e of i){s.set(e,o);o+=e.byteLength}return s}catch{this.str=new Stream(e,2,e.length,this.str.dict);this.reset();return null}}get isAsync(){return!0}getBits(e){const t=this.str;let a,r=this.codeSize,i=this.codeBuf;for(;r<e;){if(-1===(a=t.getByte()))throw new FormatError("Bad encoding in flate stream");i|=a<<r;r+=8}a=i&(1<<e)-1;this.codeBuf=i>>e;this.codeSize=r-=e;return a}getCode(e){const t=this.str,a=e[0],r=e[1];let i,n=this.codeSize,s=this.codeBuf\
+;for(;n<r&&-1!==(i=t.getByte());){s|=i<<n;n+=8}const o=a[s&(1<<r)-1],c=o>>16,l=65535&o;if(c<1||n<c)throw new FormatError("Bad encoding in flate stream");this.codeBuf=s>>c;this.codeSize=n-c;return l}generateHuffmanTable(e){const t=e.length;let a,r=0;for(a=0;a<t;++a)e[a]>r&&(r=e[a]);const i=1<<r,n=new Int32Array(i);for(let s=1,o=0,c=2;s<=r;++s,o<<=1,c<<=1)for(let r=0;r<t;++r)if(e[r]===s){let e=0,t=o;for(a=0;a<s;++a){e=e<<1|1&t;t>>=1}for(a=e;a<i;a+=c)n[a]=s<<16|r;++o}return[n,r]}#X(e){info(e);this.\
+eof=!0}readBlock(){let e,t,a;const r=this.str;try{t=this.getBits(3)}catch(e){this.#X(e.message);return}1&t&&(this.eof=!0);t>>=1;if(0===t){let t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let a=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}a|=t<<8;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let i=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}i|=t<<8;if(i!==(65535&~a)&&(\
+0!==a||0!==i))throw new FormatError("Bad uncompressed block length in flate stream");this.codeBuf=0;this.codeSize=0;const n=this.bufferLength,s=n+a;e=this.ensureBuffer(s);this.bufferLength=s;if(0===a)-1===r.peekByte()&&(this.eof=!0);else{const t=r.getBytes(a);e.set(t,n);t.length<a&&(this.eof=!0)}return}let i,n;if(1===t){i=sr;n=or}else{if(2!==t)throw new FormatError("Unknown block type in flate stream");{const e=this.getBits(5)+257,t=this.getBits(5)+1,r=this.getBits(4)+4,s=new Uint8Array(rr.lengt\
+h);let o;for(o=0;o<r;++o)s[rr[o]]=this.getBits(3);const c=this.generateHuffmanTable(s);a=0;o=0;const l=e+t,h=new Uint8Array(l);let u,d,f;for(;o<l;){const e=this.getCode(c);if(16===e){u=2;d=3;f=a}else if(17===e){u=3;d=3;f=a=0}else{if(18!==e){h[o++]=a=e;continue}u=7;d=11;f=a=0}let t=this.getBits(u)+d;for(;t-- >0;)h[o++]=f}i=this.generateHuffmanTable(h.subarray(0,e));n=this.generateHuffmanTable(h.subarray(e,l))}}e=this.buffer;let s=e?e.length:0,o=this.bufferLength;for(;;){let t=this.getCode(i);if(t\
+<256){if(o+1>=s){e=this.ensureBuffer(o+1);s=e.length}e[o++]=t;continue}if(256===t){this.bufferLength=o;return}t-=257;t=ir[t];let r=t>>16;r>0&&(r=this.getBits(r));a=(65535&t)+r;t=this.getCode(n);t=nr[t];r=t>>16;r>0&&(r=this.getBits(r));const c=(65535&t)+r;if(o+a>=s){e=this.ensureBuffer(o+a);s=e.length}for(let t=0;t<a;++t,++o)e[o]=e[o-c]}}}const cr=[{qe:22017,nmps:1,nlps:1,switchFlag:1},{qe:13313,nmps:2,nlps:6,switchFlag:0},{qe:6145,nmps:3,nlps:9,switchFlag:0},{qe:2753,nmps:4,nlps:12,switchFlag:0}\
+,{qe:1313,nmps:5,nlps:29,switchFlag:0},{qe:545,nmps:38,nlps:33,switchFlag:0},{qe:22017,nmps:7,nlps:6,switchFlag:1},{qe:21505,nmps:8,nlps:14,switchFlag:0},{qe:18433,nmps:9,nlps:14,switchFlag:0},{qe:14337,nmps:10,nlps:14,switchFlag:0},{qe:12289,nmps:11,nlps:17,switchFlag:0},{qe:9217,nmps:12,nlps:18,switchFlag:0},{qe:7169,nmps:13,nlps:20,switchFlag:0},{qe:5633,nmps:29,nlps:21,switchFlag:0},{qe:22017,nmps:15,nlps:14,switchFlag:1},{qe:21505,nmps:16,nlps:14,switchFlag:0},{qe:20737,nmps:17,nlps:15,swit\
+chFlag:0},{qe:18433,nmps:18,nlps:16,switchFlag:0},{qe:14337,nmps:19,nlps:17,switchFlag:0},{qe:13313,nmps:20,nlps:18,switchFlag:0},{qe:12289,nmps:21,nlps:19,switchFlag:0},{qe:10241,nmps:22,nlps:19,switchFlag:0},{qe:9217,nmps:23,nlps:20,switchFlag:0},{qe:8705,nmps:24,nlps:21,switchFlag:0},{qe:7169,nmps:25,nlps:22,switchFlag:0},{qe:6145,nmps:26,nlps:23,switchFlag:0},{qe:5633,nmps:27,nlps:24,switchFlag:0},{qe:5121,nmps:28,nlps:25,switchFlag:0},{qe:4609,nmps:29,nlps:26,switchFlag:0},{qe:4353,nmps:30,\
+nlps:27,switchFlag:0},{qe:2753,nmps:31,nlps:28,switchFlag:0},{qe:2497,nmps:32,nlps:29,switchFlag:0},{qe:2209,nmps:33,nlps:30,switchFlag:0},{qe:1313,nmps:34,nlps:31,switchFlag:0},{qe:1089,nmps:35,nlps:32,switchFlag:0},{qe:673,nmps:36,nlps:33,switchFlag:0},{qe:545,nmps:37,nlps:34,switchFlag:0},{qe:321,nmps:38,nlps:35,switchFlag:0},{qe:273,nmps:39,nlps:36,switchFlag:0},{qe:133,nmps:40,nlps:37,switchFlag:0},{qe:73,nmps:41,nlps:38,switchFlag:0},{qe:37,nmps:42,nlps:39,switchFlag:0},{qe:21,nmps:43,nlps\
+:40,switchFlag:0},{qe:9,nmps:44,nlps:41,switchFlag:0},{qe:5,nmps:45,nlps:42,switchFlag:0},{qe:1,nmps:45,nlps:43,switchFlag:0},{qe:22017,nmps:46,nlps:46,switchFlag:0}];class ArithmeticDecoder{constructor(e,t,a){this.data=e;this.bp=t;this.dataEnd=a;this.chigh=e[t];this.clow=0;this.byteIn();this.chigh=this.chigh<<7&65535|this.clow>>9&127;this.clow=this.clow<<7&65535;this.ct-=7;this.a=32768}byteIn(){const e=this.data;let t=this.bp;if(255===e[t])if(e[t+1]>143){this.clow+=65280;this.ct=8}else{t++;this\
+.clow+=e[t]<<9;this.ct=7;this.bp=t}else{t++;this.clow+=t<this.dataEnd?e[t]<<8:65280;this.ct=8;this.bp=t}if(this.clow>65535){this.chigh+=this.clow>>16;this.clow&=65535}}readBit(e,t){let a=e[t]>>1,r=1&e[t];const i=cr[a],n=i.qe;let s,o=this.a-n;if(this.chigh<n)if(o<n){o=n;s=r;a=i.nmps}else{o=n;s=1^r;1===i.switchFlag&&(r=s);a=i.nlps}else{this.chigh-=n;if(32768&o){this.a=o;return r}if(o<n){s=1^r;1===i.switchFlag&&(r=s);a=i.nlps}else{s=r;a=i.nmps}}do{0===this.ct&&this.byteIn();o<<=1;this.chigh=this.ch\
+igh<<1&65535|this.clow>>15&1;this.clow=this.clow<<1&65535;this.ct--}while(!(32768&o));this.a=o;e[t]=a<<1|r;return s}}class Jbig2Error extends fa{constructor(e){super(e,"Jbig2Error")}}class ContextCache{getContexts(e){return e in this?this[e]:this[e]=new Int8Array(65536)}}class DecodingContext{constructor(e,t,a){this.data=e;this.start=t;this.end=a}get decoder(){return shadow(this,"decoder",new ArithmeticDecoder(this.data,this.start,this.end))}get contextCache(){return shadow(this,"contextCache",n\
+ew ContextCache)}}function decodeInteger(e,t,a){const r=e.getContexts(t);let i=1;function readBits(e){let t=0;for(let n=0;n<e;n++){const e=a.readBit(r,i);i=i<256?i<<1|e:511&(i<<1|e)|256;t=t<<1|e}return t>>>0}const n=readBits(1),s=readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(32)+4436:readBits(12)+340:readBits(8)+84:readBits(6)+20:readBits(4)+4:readBits(2);let o;0===n?o=s:s>0&&(o=-s);return o>=-2147483648&&o<=va?o:null}function decodeIAID(e,t,a){const r=e.getContexts("IAID"\
+);let i=1;for(let e=0;e<a;e++){i=i<<1|t.readBit(r,i)}return a<31?i&(1<<a)-1:2147483647&i}const lr=["SymbolDictionary",null,null,null,"IntermediateTextRegion",null,"ImmediateTextRegion","ImmediateLosslessTextRegion",null,null,null,null,null,null,null,null,"PatternDictionary",null,null,null,"IntermediateHalftoneRegion",null,"ImmediateHalftoneRegion","ImmediateLosslessHalftoneRegion",null,null,null,null,null,null,null,null,null,null,null,null,"IntermediateGenericRegion",null,"ImmediateGenericRegion\
+","ImmediateLosslessGenericRegion","IntermediateGenericRefinementRegion",null,"ImmediateGenericRefinementRegion","ImmediateLosslessGenericRefinementRegion",null,null,null,null,"PageInformation","EndOfPage","EndOfStripe","EndOfFile","Profiles","Tables",null,null,null,null,null,null,null,null,"Extension"],hr=[[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:2,y:-1},{x:-4,y:0},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}],[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:2,y:-2},{x:-2,y:\
+-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:2,y:-1},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}],[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-2,y:0},{x:-1,y:0}],[{x:-3,y:-1},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-4,y:0},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}]],ur=[{coding:[{x:0,y:-1},{x:1,y:-1},{x:-1,y:0}],reference:[{x:0,y:-1},{x:1,y:-1},{x:-1,y:0},{x:0,y:0},{x:1,y:0},{x:-1,y:1},{x:0,y:1},{x:1,y:1}]},{coding:[{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-1,y:0}],reference\
+:[{x:0,y:-1},{x:-1,y:0},{x:0,y:0},{x:1,y:0},{x:0,y:1},{x:1,y:1}]}],dr=[39717,1941,229,405],fr=[32,8];function decodeBitmap(e,t,a,r,i,n,s,o){if(e){return decodeMMRBitmap(new Reader(o.data,o.start,o.end),t,a,!1)}if(0===r&&!n&&!i&&4===s.length&&3===s[0].x&&-1===s[0].y&&-3===s[1].x&&-1===s[1].y&&2===s[2].x&&-2===s[2].y&&-2===s[3].x&&-2===s[3].y)return function decodeBitmapTemplate0(e,t,a){const r=a.decoder,i=a.contextCache.getContexts("GB"),n=[];let s,o,c,l,h,u,d;for(o=0;o<t;o++){h=n[o]=new Uint8Arr\
+ay(e);u=o<1?h:n[o-1];d=o<2?h:n[o-2];s=d[0]<<13|d[1]<<12|d[2]<<11|u[0]<<7|u[1]<<6|u[2]<<5|u[3]<<4;for(c=0;c<e;c++){h[c]=l=r.readBit(i,s);s=(31735&s)<<1|(c+3<e?d[c+3]<<11:0)|(c+4<e?u[c+4]<<4:0)|l}}return n}(t,a,o);const c=!!n,l=hr[r].concat(s);l.sort(((e,t)=>e.y-t.y||e.x-t.x));const h=l.length,u=new Int8Array(h),d=new Int8Array(h),f=[];let g,p,m=0,b=0,y=0,w=0;for(p=0;p<h;p++){u[p]=l[p].x;d[p]=l[p].y;b=Math.min(b,l[p].x);y=Math.max(y,l[p].x);w=Math.min(w,l[p].y);p<h-1&&l[p].y===l[p+1].y&&l[p].x===l\
+[p+1].x-1?m|=1<<h-1-p:f.push(p)}const x=f.length,S=new Int8Array(x),k=new Int8Array(x),C=new Uint16Array(x);for(g=0;g<x;g++){p=f[g];S[g]=l[p].x;k[g]=l[p].y;C[g]=1<<h-1-p}const v=-b,F=-w,T=t-y,O=dr[r];let M=new Uint8Array(t);const D=[],R=o.decoder,N=o.contextCache.getContexts("GB");let E,L,j,_,U,X=0,q=0;for(let e=0;e<a;e++){if(i){X^=R.readBit(N,O);if(X){D.push(M);continue}}M=new Uint8Array(M);D.push(M);for(E=0;E<t;E++){if(c&&n[e][E]){M[E]=0;continue}if(E>=v&&E<T&&e>=F){q=q<<1&m;for(p=0;p<x;p++){L\
+=e+k[p];j=E+S[p];_=D[L][j];if(_){_=C[p];q|=_}}}else{q=0;U=h-1;for(p=0;p<h;p++,U--){j=E+u[p];if(j>=0&&j<t){L=e+d[p];if(L>=0){_=D[L][j];_&&(q|=_<<U)}}}}const a=R.readBit(N,q);M[E]=a}}return D}function decodeRefinement(e,t,a,r,i,n,s,o,c){let l=ur[a].coding;0===a&&(l=l.concat([o[0]]));const h=l.length,u=new Int32Array(h),d=new Int32Array(h);let f;for(f=0;f<h;f++){u[f]=l[f].x;d[f]=l[f].y}let g=ur[a].reference;0===a&&(g=g.concat([o[1]]));const p=g.length,m=new Int32Array(p),b=new Int32Array(p);for(f=0\
+;f<p;f++){m[f]=g[f].x;b[f]=g[f].y}const y=r[0].length,w=r.length,x=fr[a],S=[],k=c.decoder,C=c.contextCache.getContexts("GR");let v=0;for(let a=0;a<t;a++){if(s){v^=k.readBit(C,x);if(v)throw new Jbig2Error("prediction is not supported")}const t=new Uint8Array(e);S.push(t);for(let s=0;s<e;s++){let o,c,l=0;for(f=0;f<h;f++){o=a+d[f];c=s+u[f];o<0||c<0||c>=e?l<<=1:l=l<<1|S[o][c]}for(f=0;f<p;f++){o=a+b[f]-n;c=s+m[f]-i;o<0||o>=w||c<0||c>=y?l<<=1:l=l<<1|r[o][c]}const g=k.readBit(C,l);t[s]=g}}return S}func\
+tion decodeTextRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g,p,m,b,y){if(e&&t)throw new Jbig2Error("refinement with Huffman is not supported");const w=[];let x,S;for(x=0;x<r;x++){S=new Uint8Array(a);i&&S.fill(i);w.push(S)}const k=m.decoder,C=m.contextCache;let v=e?-f.tableDeltaT.decode(y):-decodeInteger(C,"IADT",k),F=0;x=0;for(;x<n;){v+=e?f.tableDeltaT.decode(y):decodeInteger(C,"IADT",k);F+=e?f.tableFirstS.decode(y):decodeInteger(C,"IAFS",k);let r=F;for(;;){let i=0;s>1&&(i=e?y.readBits(b):decodeInteger(C\
+,"IAIT",k));const n=s*v+i,F=e?f.symbolIDTable.decode(y):decodeIAID(C,k,c),T=t&&(e?y.readBit():decodeInteger(C,"IARI",k));let O=o[F],M=O[0].length,D=O.length;if(T){const e=decodeInteger(C,"IARDW",k),t=decodeInteger(C,"IARDH",k);M+=e;D+=t;O=decodeRefinement(M,D,g,O,(e>>1)+decodeInteger(C,"IARDX",k),(t>>1)+decodeInteger(C,"IARDY",k),!1,p,m)}let R=0;l?1&u?R=D-1:r+=D-1:u>1?r+=M-1:R=M-1;const N=n-(1&u?0:D-1),E=r-(2&u?M-1:0);let L,j,_;if(l)for(L=0;L<D;L++){S=w[E+L];if(!S)continue;_=O[L];const e=Math.mi\
+n(a-N,M);switch(d){case 0:for(j=0;j<e;j++)S[N+j]|=_[j];break;case 2:for(j=0;j<e;j++)S[N+j]^=_[j];break;default:throw new Jbig2Error(`operator ${d} is not supported`)}}else for(j=0;j<D;j++){S=w[N+j];if(S){_=O[j];switch(d){case 0:for(L=0;L<M;L++)S[E+L]|=_[L];break;case 2:for(L=0;L<M;L++)S[E+L]^=_[L];break;default:throw new Jbig2Error(`operator ${d} is not supported`)}}}x++;const U=e?f.tableDeltaS.decode(y):decodeInteger(C,"IADS",k);if(null===U)break;r+=R+U+h}}return w}function readSegmentHeader(e,\
+t){const a={};a.number=readUint32(e,t);const r=e[t+4],i=63&r;if(!lr[i])throw new Jbig2Error("invalid segment type: "+i);a.type=i;a.typeName=lr[i];a.deferredNonRetain=!!(128&r);const n=!!(64&r),s=e[t+5];let o=s>>5&7;const c=[31&s];let l=t+6;if(7===s){o=536870911&readUint32(e,l-1);l+=3;let t=o+7>>3;c[0]=e[l++];for(;--t>0;)c.push(e[l++])}else if(5===s||6===s)throw new Jbig2Error("invalid referred-to flags");a.retainBits=c;let h=4;a.number<=256?h=1:a.number<=65536&&(h=2);const u=[];let d,f;for(d=0;d\
+<o;d++){let t;t=1===h?e[l]:2===h?readUint16(e,l):readUint32(e,l);u.push(t);l+=h}a.referredTo=u;if(n){a.pageAssociation=readUint32(e,l);l+=4}else a.pageAssociation=e[l++];a.length=readUint32(e,l);l+=4;if(4294967295===a.length){if(38!==i)throw new Jbig2Error("invalid unknown segment length");{const t=readRegionSegmentInformation(e,l),r=!!(1&e[l+gr]),i=6,n=new Uint8Array(i);if(!r){n[0]=255;n[1]=172}n[2]=t.height>>>24&255;n[3]=t.height>>16&255;n[4]=t.height>>8&255;n[5]=255&t.height;for(d=l,f=e.lengt\
+h;d<f;d++){let t=0;for(;t<i&&n[t]===e[d+t];)t++;if(t===i){a.length=d+i;break}}if(4294967295===a.length)throw new Jbig2Error("segment end was not found")}}a.headerEnd=l;return a}function readSegments(e,t,a,r){const i=[];let n=a;for(;n<r;){const a=readSegmentHeader(t,n);n=a.headerEnd;const r={header:a,data:t};if(!e.randomAccess){r.start=n;n+=a.length;r.end=n}i.push(r);if(51===a.type)break}if(e.randomAccess)for(let e=0,t=i.length;e<t;e++){i[e].start=n;n+=i[e].header.length;i[e].end=n}return i}funct\
+ion readRegionSegmentInformation(e,t){return{width:readUint32(e,t),height:readUint32(e,t+4),x:readUint32(e,t+8),y:readUint32(e,t+12),combinationOperator:7&e[t+16]}}const gr=17;function processSegment(e,t){const a=e.header,r=e.data,i=e.end;let n,s,o,c,l=e.start;switch(a.type){case 0:const e={},t=readUint16(r,l);e.huffman=!!(1&t);e.refinement=!!(2&t);e.huffmanDHSelector=t>>2&3;e.huffmanDWSelector=t>>4&3;e.bitmapSizeSelector=t>>6&1;e.aggregationInstancesSelector=t>>7&1;e.bitmapCodingContextUsed=!!(\
+256&t);e.bitmapCodingContextRetained=!!(512&t);e.template=t>>10&3;e.refinementTemplate=t>>12&1;l+=2;if(!e.huffman){c=0===e.template?4:1;s=[];for(o=0;o<c;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}e.at=s}if(e.refinement&&!e.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}e.refinementAt=s}e.numberOfExportedSymbols=readUint32(r,l);l+=4;e.numberOfNewSymbols=readUint32(r,l);l+=4;n=[e,a.number,a.referredTo,r,l,i];break;case 6:case 7:const h={};h.in\
+fo=readRegionSegmentInformation(r,l);l+=gr;const u=readUint16(r,l);l+=2;h.huffman=!!(1&u);h.refinement=!!(2&u);h.logStripSize=u>>2&3;h.stripSize=1<<h.logStripSize;h.referenceCorner=u>>4&3;h.transposed=!!(64&u);h.combinationOperator=u>>7&3;h.defaultPixelValue=u>>9&1;h.dsOffset=u<<17>>27;h.refinementTemplate=u>>15&1;if(h.huffman){const e=readUint16(r,l);l+=2;h.huffmanFS=3&e;h.huffmanDS=e>>2&3;h.huffmanDT=e>>4&3;h.huffmanRefinementDW=e>>6&3;h.huffmanRefinementDH=e>>8&3;h.huffmanRefinementDX=e>>10&3\
+;h.huffmanRefinementDY=e>>12&3;h.huffmanRefinementSizeSelector=!!(16384&e)}if(h.refinement&&!h.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}h.refinementAt=s}h.numberOfSymbolInstances=readUint32(r,l);l+=4;n=[h,a.referredTo,r,l,i];break;case 16:const d={},f=r[l++];d.mmr=!!(1&f);d.template=f>>1&3;d.patternWidth=r[l++];d.patternHeight=r[l++];d.maxPatternIndex=readUint32(r,l);l+=4;n=[d,a.number,r,l,i];break;case 22:case 23:const g={};g.info=readRegionSegm\
+entInformation(r,l);l+=gr;const p=r[l++];g.mmr=!!(1&p);g.template=p>>1&3;g.enableSkip=!!(8&p);g.combinationOperator=p>>4&7;g.defaultPixelValue=p>>7&1;g.gridWidth=readUint32(r,l);l+=4;g.gridHeight=readUint32(r,l);l+=4;g.gridOffsetX=4294967295&readUint32(r,l);l+=4;g.gridOffsetY=4294967295&readUint32(r,l);l+=4;g.gridVectorX=readUint16(r,l);l+=2;g.gridVectorY=readUint16(r,l);l+=2;n=[g,a.referredTo,r,l,i];break;case 38:case 39:const m={};m.info=readRegionSegmentInformation(r,l);l+=gr;const b=r[l++];m\
+.mmr=!!(1&b);m.template=b>>1&3;m.prediction=!!(8&b);if(!m.mmr){c=0===m.template?4:1;s=[];for(o=0;o<c;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}m.at=s}n=[m,r,l,i];break;case 48:const y={width:readUint32(r,l),height:readUint32(r,l+4),resolutionX:readUint32(r,l+8),resolutionY:readUint32(r,l+12)};4294967295===y.height&&delete y.height;const w=r[l+16];readUint16(r,l+17);y.lossless=!!(1&w);y.refinement=!!(2&w);y.defaultPixelValue=w>>2&1;y.combinationOperator=w>>3&3;y.requiresBuffer=!!(32&w\
+);y.combinationOperatorOverride=!!(64&w);n=[y];break;case 49:case 50:case 51:case 62:break;case 53:n=[a.number,r,l,i];break;default:throw new Jbig2Error(`segment type ${a.typeName}(${a.type}) is not implemented`)}const h="on"+a.typeName;h in t&&t[h].apply(t,n)}function processSegments(e,t){for(let a=0,r=e.length;a<r;a++)processSegment(e[a],t)}class SimpleSegmentVisitor{onPageInformation(e){this.currentPageInfo=e;const t=e.width+7>>3,a=new Uint8ClampedArray(t*e.height);e.defaultPixelValue&&a.fill\
+(255);this.buffer=a}drawBitmap(e,t){const a=this.currentPageInfo,r=e.width,i=e.height,n=a.width+7>>3,s=a.combinationOperatorOverride?e.combinationOperator:a.combinationOperator,o=this.buffer,c=128>>(7&e.x);let l,h,u,d,f=e.y*n+(e.x>>3);switch(s){case 0:for(l=0;l<i;l++){u=c;d=f;for(h=0;h<r;h++){t[l][h]&&(o[d]|=u);u>>=1;if(!u){u=128;d++}}f+=n}break;case 2:for(l=0;l<i;l++){u=c;d=f;for(h=0;h<r;h++){t[l][h]&&(o[d]^=u);u>>=1;if(!u){u=128;d++}}f+=n}break;default:throw new Jbig2Error(`operator ${s} is no\
+t supported`)}}onImmediateGenericRegion(e,t,a,r){const i=e.info,n=new DecodingContext(t,a,r),s=decodeBitmap(e.mmr,i.width,i.height,e.template,e.prediction,null,e.at,n);this.drawBitmap(i,s)}onImmediateLosslessGenericRegion(){this.onImmediateGenericRegion(...arguments)}onSymbolDictionary(e,t,a,r,i,n){let s,o;if(e.huffman){s=function getSymbolDictionaryHuffmanTables(e,t,a){let r,i,n,s,o=0;switch(e.huffmanDHSelector){case 0:case 1:r=getStandardTable(e.huffmanDHSelector+4);break;case 3:r=getCustomHuf\
+fmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DH selector")}switch(e.huffmanDWSelector){case 0:case 1:i=getStandardTable(e.huffmanDWSelector+2);break;case 3:i=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DW selector")}if(e.bitmapSizeSelector){n=getCustomHuffmanTable(o,t,a);o++}else n=getStandardTable(1);s=e.aggregationInstancesSelector?getCustomHuffmanTable(o,t,a):getStandardTable(1);return{tableDeltaHeight:r,tableDeltaWidth:i,ta\
+bleBitmapSize:n,tableAggregateInstances:s}}(e,a,this.customTables);o=new Reader(r,i,n)}let c=this.symbols;c||(this.symbols=c={});const l=[];for(const e of a){const t=c[e];t&&l.push(...t)}const h=new DecodingContext(r,i,n);c[t]=function decodeSymbolDictionary(e,t,a,r,i,n,s,o,c,l,h,u){if(e&&t)throw new Jbig2Error("symbol refinement with Huffman is not supported");const d=[];let f=0,g=log2(a.length+r);const p=h.decoder,m=h.contextCache;let b,y;if(e){b=getStandardTable(1);y=[];g=Math.max(g,1)}for(;d\
+.length<r;){f+=e?n.tableDeltaHeight.decode(u):decodeInteger(m,"IADH",p);let r=0,i=0;const b=e?y.length:0;for(;;){const b=e?n.tableDeltaWidth.decode(u):decodeInteger(m,"IADW",p);if(null===b)break;r+=b;i+=r;let w;if(t){const i=decodeInteger(m,"IAAI",p);if(i>1)w=decodeTextRegion(e,t,r,f,0,i,1,a.concat(d),g,0,0,1,0,n,c,l,h,0,u);else{const e=decodeIAID(m,p,g),t=decodeInteger(m,"IARDX",p),i=decodeInteger(m,"IARDY",p);w=decodeRefinement(r,f,c,e<a.length?a[e]:d[e-a.length],t,i,!1,l,h)}d.push(w)}else if(\
+e)y.push(r);else{w=decodeBitmap(!1,r,f,s,!1,null,o,h);d.push(w)}}if(e&&!t){const e=n.tableBitmapSize.decode(u);u.byteAlign();let t;if(0===e)t=readUncompressedBitmap(u,i,f);else{const a=u.end,r=u.position+e;u.end=r;t=decodeMMRBitmap(u,i,f,!1);u.end=a;u.position=r}const a=y.length;if(b===a-1)d.push(t);else{let e,r,i,n,s,o=0;for(e=b;e<a;e++){n=y[e];i=o+n;s=[];for(r=0;r<f;r++)s.push(t[r].subarray(o,i));d.push(s);o=i}}}}const w=[],x=[];let S,k,C=!1;const v=a.length+r;for(;x.length<v;){let t=e?b.decod\
+e(u):decodeInteger(m,"IAEX",p);for(;t--;)x.push(C);C=!C}for(S=0,k=a.length;S<k;S++)x[S]&&w.push(a[S]);for(let e=0;e<r;S++,e++)x[S]&&w.push(d[e]);return w}(e.huffman,e.refinement,l,e.numberOfNewSymbols,e.numberOfExportedSymbols,s,e.template,e.at,e.refinementTemplate,e.refinementAt,h,o)}onImmediateTextRegion(e,t,a,r,i){const n=e.info;let s,o;const c=this.symbols,l=[];for(const e of t){const t=c[e];t&&l.push(...t)}const h=log2(l.length);if(e.huffman){o=new Reader(a,r,i);s=function getTextRegionHuff\
+manTables(e,t,a,r,i){const n=[];for(let e=0;e<=34;e++){const t=i.readBits(4);n.push(new HuffmanLine([e,t,0,0]))}const s=new HuffmanTable(n,!1);n.length=0;for(let e=0;e<r;){const t=s.decode(i);if(t>=32){let a,r,s;switch(t){case 32:if(0===e)throw new Jbig2Error("no previous value in symbol ID table");r=i.readBits(2)+3;a=n[e-1].prefixLength;break;case 33:r=i.readBits(3)+3;a=0;break;case 34:r=i.readBits(7)+11;a=0;break;default:throw new Jbig2Error("invalid code length in symbol ID table")}for(s=0;s<\
+r;s++){n.push(new HuffmanLine([e,a,0,0]));e++}}else{n.push(new HuffmanLine([e,t,0,0]));e++}}i.byteAlign();const o=new HuffmanTable(n,!1);let c,l,h,u=0;switch(e.huffmanFS){case 0:case 1:c=getStandardTable(e.huffmanFS+6);break;case 3:c=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman FS selector")}switch(e.huffmanDS){case 0:case 1:case 2:l=getStandardTable(e.huffmanDS+8);break;case 3:l=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid \
+Huffman DS selector")}switch(e.huffmanDT){case 0:case 1:case 2:h=getStandardTable(e.huffmanDT+11);break;case 3:h=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman DT selector")}if(e.refinement)throw new Jbig2Error("refinement with Huffman is not supported");return{symbolIDTable:o,tableFirstS:c,tableDeltaS:l,tableDeltaT:h}}(e,t,this.customTables,l.length,o)}const u=new DecodingContext(a,r,i),d=decodeTextRegion(e.huffman,e.refinement,n.width,n.height,e.defaultPix\
+elValue,e.numberOfSymbolInstances,e.stripSize,l,h,e.transposed,e.dsOffset,e.referenceCorner,e.combinationOperator,s,e.refinementTemplate,e.refinementAt,u,e.logStripSize,o);this.drawBitmap(n,d)}onImmediateLosslessTextRegion(){this.onImmediateTextRegion(...arguments)}onPatternDictionary(e,t,a,r,i){let n=this.patterns;n||(this.patterns=n={});const s=new DecodingContext(a,r,i);n[t]=function decodePatternDictionary(e,t,a,r,i,n){const s=[];if(!e){s.push({x:-t,y:0});0===i&&s.push({x:-3,y:-1},{x:2,y:-2}\
+,{x:-2,y:-2})}const o=decodeBitmap(e,(r+1)*t,a,i,!1,null,s,n),c=[];for(let e=0;e<=r;e++){const r=[],i=t*e,n=i+t;for(let e=0;e<a;e++)r.push(o[e].subarray(i,n));c.push(r)}return c}(e.mmr,e.patternWidth,e.patternHeight,e.maxPatternIndex,e.template,s)}onImmediateHalftoneRegion(e,t,a,r,i){const n=this.patterns[t[0]],s=e.info,o=new DecodingContext(a,r,i),c=function decodeHalftoneRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g){if(s)throw new Jbig2Error("skip is not supported");if(0!==o)throw new Jbig2Error(`oper\
+ator "${o}" is not supported in halftone region`);const p=[];let m,b,y;for(m=0;m<i;m++){y=new Uint8Array(r);n&&y.fill(n);p.push(y)}const w=t.length,x=t[0],S=x[0].length,k=x.length,C=log2(w),v=[];if(!e){v.push({x:a<=1?3:2,y:-1});0===a&&v.push({x:-3,y:-1},{x:2,y:-2},{x:-2,y:-2})}const F=[];let T,O,M,D,R,N,E,L,j,_,U;e&&(T=new Reader(g.data,g.start,g.end));for(m=C-1;m>=0;m--){O=e?decodeMMRBitmap(T,c,l,!0):decodeBitmap(!1,c,l,a,!1,null,v,g);F[m]=O}for(M=0;M<l;M++)for(D=0;D<c;D++){R=0;N=0;for(b=C-1;b>\
+=0;b--){R^=F[b][M][D];N|=R<<b}E=t[N];L=h+M*f+D*d>>8;j=u+M*d-D*f>>8;if(L>=0&&L+S<=r&&j>=0&&j+k<=i)for(m=0;m<k;m++){U=p[j+m];_=E[m];for(b=0;b<S;b++)U[L+b]|=_[b]}else{let e,t;for(m=0;m<k;m++){t=j+m;if(!(t<0||t>=i)){U=p[t];_=E[m];for(b=0;b<S;b++){e=L+b;e>=0&&e<r&&(U[e]|=_[b])}}}}}return p}(e.mmr,n,e.template,s.width,s.height,e.defaultPixelValue,e.enableSkip,e.combinationOperator,e.gridWidth,e.gridHeight,e.gridOffsetX,e.gridOffsetY,e.gridVectorX,e.gridVectorY,o);this.drawBitmap(s,c)}onImmediateLossle\
+ssHalftoneRegion(){this.onImmediateHalftoneRegion(...arguments)}onTables(e,t,a,r){let i=this.customTables;i||(this.customTables=i={});i[e]=function decodeTablesSegment(e,t,a){const r=e[t],i=4294967295&readUint32(e,t+1),n=4294967295&readUint32(e,t+5),s=new Reader(e,t+9,a),o=1+(r>>1&7),c=1+(r>>4&7),l=[];let h,u,d=i;do{h=s.readBits(o);u=s.readBits(c);l.push(new HuffmanLine([d,h,u,0]));d+=1<<u}while(d<n);h=s.readBits(o);l.push(new HuffmanLine([i-1,h,32,0,"lower"]));h=s.readBits(o);l.push(new Huffman\
+Line([n,h,32,0]));if(1&r){h=s.readBits(o);l.push(new HuffmanLine([h,0]))}return new HuffmanTable(l,!1)}(t,a,r)}}class HuffmanLine{constructor(e){if(2===e.length){this.isOOB=!0;this.rangeLow=0;this.prefixLength=e[0];this.rangeLength=0;this.prefixCode=e[1];this.isLowerRange=!1}else{this.isOOB=!1;this.rangeLow=e[0];this.prefixLength=e[1];this.rangeLength=e[2];this.prefixCode=e[3];this.isLowerRange="lower"===e[4]}}}class HuffmanTreeNode{constructor(e){this.children=[];if(e){this.isLeaf=!0;this.range\
+Length=e.rangeLength;this.rangeLow=e.rangeLow;this.isLowerRange=e.isLowerRange;this.isOOB=e.isOOB}else this.isLeaf=!1}buildTree(e,t){const a=e.prefixCode>>t&1;if(t<=0)this.children[a]=new HuffmanTreeNode(e);else{let r=this.children[a];r||(this.children[a]=r=new HuffmanTreeNode(null));r.buildTree(e,t-1)}}decodeNode(e){if(this.isLeaf){if(this.isOOB)return null;const t=e.readBits(this.rangeLength);return this.rangeLow+(this.isLowerRange?-t:t)}const t=this.children[e.readBit()];if(!t)throw new Jbig2\
+Error("invalid Huffman data");return t.decodeNode(e)}}class HuffmanTable{constructor(e,t){t||this.assignPrefixCodes(e);this.rootNode=new HuffmanTreeNode(null);for(let t=0,a=e.length;t<a;t++){const a=e[t];a.prefixLength>0&&this.rootNode.buildTree(a,a.prefixLength-1)}}decode(e){return this.rootNode.decodeNode(e)}assignPrefixCodes(e){const t=e.length;let a=0;for(let r=0;r<t;r++)a=Math.max(a,e[r].prefixLength);const r=new Uint32Array(a+1);for(let a=0;a<t;a++)r[e[a].prefixLength]++;let i,n,s,o=1,c=0;\
+r[0]=0;for(;o<=a;){c=c+r[o-1]<<1;i=c;n=0;for(;n<t;){s=e[n];if(s.prefixLength===o){s.prefixCode=i;i++}n++}o++}}}const pr={};function getStandardTable(e){let t,a=pr[e];if(a)return a;switch(e){case 1:t=[[0,1,4,0],[16,2,8,2],[272,3,16,6],[65808,3,32,7]];break;case 2:t=[[0,1,0,0],[1,2,0,2],[2,3,0,6],[3,4,3,14],[11,5,6,30],[75,6,32,62],[6,63]];break;case 3:t=[[-256,8,8,254],[0,1,0,0],[1,2,0,2],[2,3,0,6],[3,4,3,14],[11,5,6,30],[-257,8,32,255,"lower"],[75,7,32,126],[6,62]];break;case 4:t=[[1,1,0,0],[2,2\
+,0,2],[3,3,0,6],[4,4,3,14],[12,5,6,30],[76,5,32,31]];break;case 5:t=[[-255,7,8,126],[1,1,0,0],[2,2,0,2],[3,3,0,6],[4,4,3,14],[12,5,6,30],[-256,7,32,127,"lower"],[76,6,32,62]];break;case 6:t=[[-2048,5,10,28],[-1024,4,9,8],[-512,4,8,9],[-256,4,7,10],[-128,5,6,29],[-64,5,5,30],[-32,4,5,11],[0,2,7,0],[128,3,7,2],[256,3,8,3],[512,4,9,12],[1024,4,10,13],[-2049,6,32,62,"lower"],[2048,6,32,63]];break;case 7:t=[[-1024,4,9,8],[-512,3,8,0],[-256,4,7,9],[-128,5,6,26],[-64,5,5,27],[-32,4,5,10],[0,4,5,11],[32\
+,5,5,28],[64,5,6,29],[128,4,7,12],[256,3,8,1],[512,3,9,2],[1024,3,10,3],[-1025,5,32,30,"lower"],[2048,5,32,31]];break;case 8:t=[[-15,8,3,252],[-7,9,1,508],[-5,8,1,253],[-3,9,0,509],[-2,7,0,124],[-1,4,0,10],[0,2,1,0],[2,5,0,26],[3,6,0,58],[4,3,4,4],[20,6,1,59],[22,4,4,11],[38,4,5,12],[70,5,6,27],[134,5,7,28],[262,6,7,60],[390,7,8,125],[646,6,10,61],[-16,9,32,510,"lower"],[1670,9,32,511],[2,1]];break;case 9:t=[[-31,8,4,252],[-15,9,2,508],[-11,8,2,253],[-7,9,1,509],[-5,7,1,124],[-3,4,1,10],[-1,3,1,\
+2],[1,3,1,3],[3,5,1,26],[5,6,1,58],[7,3,5,4],[39,6,2,59],[43,4,5,11],[75,4,6,12],[139,5,7,27],[267,5,8,28],[523,6,8,60],[779,7,9,125],[1291,6,11,61],[-32,9,32,510,"lower"],[3339,9,32,511],[2,0]];break;case 10:t=[[-21,7,4,122],[-5,8,0,252],[-4,7,0,123],[-3,5,0,24],[-2,2,2,0],[2,5,0,25],[3,6,0,54],[4,7,0,124],[5,8,0,253],[6,2,6,1],[70,5,5,26],[102,6,5,55],[134,6,6,56],[198,6,7,57],[326,6,8,58],[582,6,9,59],[1094,6,10,60],[2118,7,11,125],[-22,8,32,254,"lower"],[4166,8,32,255],[2,2]];break;case 11:t\
+=[[1,1,0,0],[2,2,1,2],[4,4,0,12],[5,4,1,13],[7,5,1,28],[9,5,2,29],[13,6,2,60],[17,7,2,122],[21,7,3,123],[29,7,4,124],[45,7,5,125],[77,7,6,126],[141,7,32,127]];break;case 12:t=[[1,1,0,0],[2,2,0,2],[3,3,1,6],[5,5,0,28],[6,5,1,29],[8,6,1,60],[10,7,0,122],[11,7,1,123],[13,7,2,124],[17,7,3,125],[25,7,4,126],[41,8,5,254],[73,8,32,255]];break;case 13:t=[[1,1,0,0],[2,3,0,4],[3,4,0,12],[4,5,0,28],[5,4,1,13],[7,3,3,5],[15,6,1,58],[17,6,2,59],[21,6,3,60],[29,6,4,61],[45,6,5,62],[77,7,6,126],[141,7,32,127]]\
+;break;case 14:t=[[-2,3,0,4],[-1,3,0,5],[0,1,0,0],[1,3,0,6],[2,3,0,7]];break;case 15:t=[[-24,7,4,124],[-8,6,2,60],[-4,5,1,28],[-2,4,0,12],[-1,3,0,4],[0,1,0,0],[1,3,0,5],[2,4,0,13],[3,5,1,29],[5,6,2,61],[9,7,4,125],[-25,7,32,126,"lower"],[25,7,32,127]];break;default:throw new Jbig2Error(`standard table B.${e} does not exist`)}for(let e=0,a=t.length;e<a;e++)t[e]=new HuffmanLine(t[e]);a=new HuffmanTable(t,!0);pr[e]=a;return a}class Reader{constructor(e,t,a){this.data=e;this.start=t;this.end=a;this.\
+position=t;this.shift=-1;this.currentByte=0}readBit(){if(this.shift<0){if(this.position>=this.end)throw new Jbig2Error("end of data while reading bit");this.currentByte=this.data[this.position++];this.shift=7}const e=this.currentByte>>this.shift&1;this.shift--;return e}readBits(e){let t,a=0;for(t=e-1;t>=0;t--)a|=this.readBit()<<t;return a}byteAlign(){this.shift=-1}next(){return this.position>=this.end?-1:this.data[this.position++]}}function getCustomHuffmanTable(e,t,a){let r=0;for(let i=0,n=t.le\
+ngth;i<n;i++){const n=a[t[i]];if(n){if(e===r)return n;r++}}throw new Jbig2Error("can\'t find custom Huffman table")}function readUncompressedBitmap(e,t,a){const r=[];for(let i=0;i<a;i++){const a=new Uint8Array(t);r.push(a);for(let r=0;r<t;r++)a[r]=e.readBit();e.byteAlign()}return r}function decodeMMRBitmap(e,t,a,r){const i=new CCITTFaxDecoder(e,{K:-1,Columns:t,Rows:a,BlackIs1:!0,EndOfBlock:r}),n=[];let s,o=!1;for(let e=0;e<a;e++){const e=new Uint8Array(t);n.push(e);let a=-1;for(let r=0;r<t;r++){i\
+f(a<0){s=i.readNextChar();if(-1===s){s=0;o=!0}a=7}e[r]=s>>a&1;a--}}if(r&&!o){const e=5;for(let t=0;t<e&&-1!==i.readNextChar();t++);}return n}class Jbig2Image{parseChunks(e){return function parseJbig2Chunks(e){const t=new SimpleSegmentVisitor;for(let a=0,r=e.length;a<r;a++){const r=e[a];processSegments(readSegments({},r.data,r.start,r.end),t)}return t.buffer}(e)}parse(e){throw new Error("Not implemented: Jbig2Image.parse")}}class Jbig2Stream extends DecodeStream{constructor(e,t,a){super(t);this.s\
+tream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(){this.decodeImage()}decodeImage(e){if(this.eof)return this.buffer;e||=this.bytes;const t=new Jbig2Image,a=[];if(this.params instanceof Dict){const e=this.params.get("JBIG2Globals");if(e instanceof BaseStream){const t=e.getBytes();a.push({data:t,start:0,end:t.length})}}a.push({data:e,start:0,end:e.length});const r=t.parseChunks(a),i=r\
+.length;for(let e=0;e<i;e++)r[e]^=255;this.buffer=r;this.bufferLength=i;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}}class JpxStream extends DecodeStream{constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(e){unreachable("JpxStream.readBlock")}get isAsyncDecoder(){return!0}async decodeImage(e,t){if(this\
+.eof)return this.buffer;e||=this.bytes;this.buffer=await JpxImage.decode(e,t);this.bufferLength=this.buffer.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}}class LZWStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.cachedData=0;this.bitsCached=0;const r=4096,i={earlyChange:a,codeLength:9,nextCode:258,dictionaryValues:new Uint8Array(r),dictionaryLengths:new Uint16Array(r),dictionaryPrevCodes:new Uint16Arr\
+ay(r),currentSequence:new Uint8Array(r),currentSequenceLength:0};for(let e=0;e<256;++e){i.dictionaryValues[e]=e;i.dictionaryLengths[e]=1}this.lzwState=i}readBits(e){let t=this.bitsCached,a=this.cachedData;for(;t<e;){const e=this.str.getByte();if(-1===e){this.eof=!0;return null}a=a<<8|e;t+=8}this.bitsCached=t-=e;this.cachedData=a;this.lastCode=null;return a>>>t&(1<<e)-1}readBlock(){let e,t,a,r=1024;const i=this.lzwState;if(!i)return;const n=i.earlyChange;let s=i.nextCode;const o=i.dictionaryValue\
+s,c=i.dictionaryLengths,l=i.dictionaryPrevCodes;let h=i.codeLength,u=i.prevCode;const d=i.currentSequence;let f=i.currentSequenceLength,g=0,p=this.bufferLength,m=this.ensureBuffer(this.bufferLength+r);for(e=0;e<512;e++){const e=this.readBits(h),i=f>0;if(e<256){d[0]=e;f=1}else{if(!(e>=258)){if(256===e){h=9;s=258;f=0;continue}this.eof=!0;delete this.lzwState;break}if(e<s){f=c[e];for(t=f-1,a=e;t>=0;t--){d[t]=o[a];a=l[a]}}else d[f++]=d[0]}if(i){l[s]=u;c[s]=c[u]+1;o[s]=d[0];s++;h=s+n&s+n-1?h:0|Math.m\
+in(Math.log(s+n)/.6931471805599453+1,12)}u=e;g+=f;if(r<g){do{r+=512}while(r<g);m=this.ensureBuffer(this.bufferLength+r)}for(t=0;t<f;t++)m[p++]=d[t]}i.nextCode=s;i.codeLength=h;i.prevCode=u;i.currentSequenceLength=f;this.bufferLength=p}}class PredictorStream extends DecodeStream{constructor(e,t,a){super(t);if(!(a instanceof Dict))return e;const r=this.predictor=a.get("Predictor")||1;if(r<=1)return e;if(2!==r&&(r<10||r>15))throw new FormatError(`Unsupported predictor: ${r}`);this.readBlock=2===r?t\
+his.readBlockTiff:this.readBlockPng;this.str=e;this.dict=e.dict;const i=this.colors=a.get("Colors")||1,n=this.bits=a.get("BPC","BitsPerComponent")||8,s=this.columns=a.get("Columns")||1;this.pixBytes=i*n+7>>3;this.rowBytes=s*i*n+7>>3;return this}readBlockTiff(){const e=this.rowBytes,t=this.bufferLength,a=this.ensureBuffer(t+e),r=this.bits,i=this.colors,n=this.str.getBytes(e);this.eof=!n.length;if(this.eof)return;let s,o=0,c=0,l=0,h=0,u=t;if(1===r&&1===i)for(s=0;s<e;++s){let e=n[s]^o;e^=e>>1;e^=e>\
+>2;e^=e>>4;o=(1&e)<<7;a[u++]=e}else if(8===r){for(s=0;s<i;++s)a[u++]=n[s];for(;s<e;++s){a[u]=a[u-i]+n[s];u++}}else if(16===r){const t=2*i;for(s=0;s<t;++s)a[u++]=n[s];for(;s<e;s+=2){const e=((255&n[s])<<8)+(255&n[s+1])+((255&a[u-t])<<8)+(255&a[u-t+1]);a[u++]=e>>8&255;a[u++]=255&e}}else{const e=new Uint8Array(i+1),u=(1<<r)-1;let d=0,f=t;const g=this.columns;for(s=0;s<g;++s)for(let t=0;t<i;++t){if(l<r){o=o<<8|255&n[d++];l+=8}e[t]=e[t]+(o>>l-r)&u;l-=r;c=c<<r|e[t];h+=r;if(h>=8){a[f++]=c>>h-8&255;h-=8\
+}}h>0&&(a[f++]=(c<<8-h)+(o&(1<<8-h)-1))}this.bufferLength+=e}readBlockPng(){const e=this.rowBytes,t=this.pixBytes,a=this.str.getByte(),r=this.str.getBytes(e);this.eof=!r.length;if(this.eof)return;const i=this.bufferLength,n=this.ensureBuffer(i+e);let s=n.subarray(i-e,i);0===s.length&&(s=new Uint8Array(e));let o,c,l,h=i;switch(a){case 0:for(o=0;o<e;++o)n[h++]=r[o];break;case 1:for(o=0;o<t;++o)n[h++]=r[o];for(;o<e;++o){n[h]=n[h-t]+r[o]&255;h++}break;case 2:for(o=0;o<e;++o)n[h++]=s[o]+r[o]&255;brea\
+k;case 3:for(o=0;o<t;++o)n[h++]=(s[o]>>1)+r[o];for(;o<e;++o){n[h]=(s[o]+n[h-t]>>1)+r[o]&255;h++}break;case 4:for(o=0;o<t;++o){c=s[o];l=r[o];n[h++]=c+l}for(;o<e;++o){c=s[o];const e=s[o-t],a=n[h-t],i=a+c-e;let u=i-a;u<0&&(u=-u);let d=i-c;d<0&&(d=-d);let f=i-e;f<0&&(f=-f);l=r[o];n[h++]=u<=d&&u<=f?a+l:d<=f?c+l:e+l}break;default:throw new FormatError(`Unsupported predictor: ${a}`)}this.bufferLength+=e}}class RunLengthStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict}re\
+adBlock(){const e=this.str.getBytes(2);if(!e||e.length<2||128===e[0]){this.eof=!0;return}let t,a=this.bufferLength,r=e[0];if(r<128){t=this.ensureBuffer(a+r+1);t[a++]=e[1];if(r>0){const e=this.str.getBytes(r);t.set(e,a);a+=r}}else{r=257-r;t=this.ensureBuffer(a+r+1);t.fill(e[1],a,a+r);a+=r}this.bufferLength=a}}class Parser{constructor({lexer:e,xref:t,allowStreams:a=!1,recoveryMode:r=!1}){this.lexer=e;this.xref=t;this.allowStreams=a;this.recoveryMode=r;this.imageCache=Object.create(null);this._imag\
+eId=0;this.refill()}refill(){this.buf1=this.lexer.getObj();this.buf2=this.lexer.getObj()}shift(){if(this.buf2 instanceof Cmd&&"ID"===this.buf2.cmd){this.buf1=this.buf2;this.buf2=null}else{this.buf1=this.buf2;this.buf2=this.lexer.getObj()}}tryShift(){try{this.shift();return!0}catch(e){if(e instanceof MissingDataException)throw e;return!1}}getObj(e=null){const t=this.buf1;this.shift();if(t instanceof Cmd)switch(t.cmd){case"BI":return this.makeInlineImage(e);case"[":const a=[];for(;!isCmd(this.buf1\
+,"]")&&this.buf1!==wa;)a.push(this.getObj(e));if(this.buf1===wa){if(this.recoveryMode)return a;throw new ParserEOFException("End of file inside array.")}this.shift();return a;case"<<":const r=new Dict(this.xref);for(;!isCmd(this.buf1,">>")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name)){info("Malformed dictionary: key must be a name object");this.shift();continue}const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r.set(t,this.getObj(e))}if(this.buf1===wa){if(this.recoveryMode)return \
+r;throw new ParserEOFException("End of file inside dictionary.")}if(isCmd(this.buf2,"stream"))return this.allowStreams?this.makeStream(r,e):r;this.shift();return r;default:return t}if(Number.isInteger(t)){if(Number.isInteger(this.buf1)&&isCmd(this.buf2,"R")){const e=Ref.get(t,this.buf1);this.shift();this.shift();return e}return t}return"string"==typeof t&&e?e.decryptString(t):t}findDefaultInlineStreamEnd(e){const{knownCommands:t}=this.lexer,a=e.pos;let r,i,n=0;for(;-1!==(r=e.getByte());)if(0===n\
+)n=69===r?1:0;else if(1===n)n=73===r?2:0;else if(32===r||10===r||13===r){i=e.pos;const a=e.peekBytes(15),s=a.length;if(0===s)break;for(let e=0;e<s;e++){r=a[e];if((0!==r||0===a[e+1])&&(10!==r&&13!==r&&(r<32||r>127))){n=0;break}}if(2!==n)continue;if(!t){warn("findDefaultInlineStreamEnd - `lexer.knownCommands` is undefined.");continue}const o=new Lexer(new Stream(e.peekBytes(75)),t);o._hexStringWarn=()=>{};let c=0;for(;;){const e=o.getObj();if(e===wa){n=0;break}if(e instanceof Cmd){const a=t[e.cmd]\
+;if(!a){n=0;break}if(a.variableArgs?c<=a.numArgs:c===a.numArgs)break;c=0}else c++}if(2===n)break}else n=0;if(-1===r){warn("findDefaultInlineStreamEnd: Reached the end of the stream without finding a valid EI marker");if(i){warn(\'... trying to recover by using the last "EI" occurrence.\');e.skip(-(e.pos-i))}}let s=4;e.skip(-s);r=e.peekByte();e.skip(s);isWhiteSpace(r)||s--;return e.pos-s-a}findDCTDecodeInlineStreamEnd(e){const t=e.pos;let a,r,i=!1;for(;-1!==(a=e.getByte());)if(255===a){switch(e.get\
+Byte()){case 0:break;case 255:e.skip(-1);break;case 217:i=!0;break;case 192:case 193:case 194:case 195:case 197:case 198:case 199:case 201:case 202:case 203:case 205:case 206:case 207:case 196:case 204:case 218:case 219:case 220:case 221:case 222:case 223:case 224:case 225:case 226:case 227:case 228:case 229:case 230:case 231:case 232:case 233:case 234:case 235:case 236:case 237:case 238:case 239:case 254:r=e.getUint16();r>2?e.skip(r-2):e.skip(-2)}if(i)break}const n=e.pos-t;if(-1===a){warn("Inli\
+ne DCTDecode image stream: EOI marker not found, searching for /EI/ instead.");e.skip(-n);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return n}findASCII85DecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte());)if(126===a){const t=e.pos;a=e.peekByte();for(;isWhiteSpace(a);){e.skip();a=e.peekByte()}if(62===a){e.skip();break}if(e.pos>t){const t=e.peekBytes(2);if(69===t[0]&&73===t[1])break}}const r=e.pos-t;if(-1===a){warn("Inline ASCII85Decode image stream: E\
+OD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}findASCIIHexDecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte())&&62!==a;);const r=e.pos-t;if(-1===a){warn("Inline ASCIIHexDecode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}inlineStreamSkipEI(e){let t,a=0;for(;-1!==(t=e.getByte())\
+;)if(0===a)a=69===t?1:0;else if(1===a)a=73===t?2:0;else if(2===a)break}makeInlineImage(e){const t=this.lexer,a=t.stream,r=Object.create(null);let i;for(;!isCmd(this.buf1,"ID")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name))throw new FormatError("Dictionary key must be a name object");const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r[t]=this.getObj(e)}-1!==t.beginInlineImagePos&&(i=a.pos-t.beginInlineImagePos);const n=this.xref.fetchIfRef(r.F||r.Filter);let s;if(n instanceof Name)s\
+=n.name;else if(Array.isArray(n)){const e=this.xref.fetchIfRef(n[0]);e instanceof Name&&(s=e.name)}const o=a.pos;let c,l;switch(s){case"DCT":case"DCTDecode":c=this.findDCTDecodeInlineStreamEnd(a);break;case"A85":case"ASCII85Decode":c=this.findASCII85DecodeInlineStreamEnd(a);break;case"AHx":case"ASCIIHexDecode":c=this.findASCIIHexDecodeInlineStreamEnd(a);break;default:c=this.findDefaultInlineStreamEnd(a)}if(c<1e3&&i>0){const e=a.pos;a.pos=t.beginInlineImagePos;l=function getInlineImageCacheKey(e)\
+{const t=[],a=e.length;let r=0;for(;r<a-1;)t.push(e[r++]<<8|e[r++]);r<a&&t.push(e[r]);return a+"_"+String.fromCharCode.apply(null,t)}(a.getBytes(i+c));a.pos=e;const r=this.imageCache[l];if(void 0!==r){this.buf2=Cmd.get("EI");this.shift();r.reset();return r}}const h=new Dict(this.xref);for(const e in r)h.set(e,r[e]);let u=a.makeSubStream(o,c,h);e&&(u=e.createStream(u,c));u=this.filter(u,h,c);u.dict=h;if(void 0!==l){u.cacheKey="inline_img_"+ ++this._imageId;this.imageCache[l]=u}this.buf2=Cmd.get("\
+EI");this.shift();return u}#q(e){const{stream:t}=this.lexer;t.pos=e;const a=new Uint8Array([101,110,100]),r=a.length,i=[new Uint8Array([115,116,114,101,97,109]),new Uint8Array([115,116,101,97,109]),new Uint8Array([115,116,114,101,97])],n=9-r;for(;t.pos<t.end;){const s=t.peekBytes(2048),o=s.length-9;if(o<=0)break;let c=0;for(;c<o;){let o=0;for(;o<r&&s[c+o]===a[o];)o++;if(o>=r){let r=!1;for(const e of i){const t=e.length;let i=0;for(;i<t&&s[c+o+i]===e[i];)i++;if(i>=n){r=!0;break}if(i>=t){if(isWhit\
+eSpace(s[c+o+i])){info(`Found "${bytesToString([...a,...e])}" when searching for endstream command.`);r=!0}break}}if(r){t.pos+=c;return t.pos-e}}c++}t.pos+=o}return-1}makeStream(e,t){const a=this.lexer;let r=a.stream;a.skipToNextLine();const i=r.pos-1;let n=e.get("Length");if(!Number.isInteger(n)){info(`Bad length "${n&&n.toString()}" in stream.`);n=0}r.pos=i+n;a.nextChar();if(this.tryShift()&&isCmd(this.buf2,"endstream"))this.shift();else{n=this.#q(i);if(n<0)throw new FormatError("Missing endst\
+ream command.");a.nextChar();this.shift();this.shift()}this.shift();r=r.makeSubStream(i,n,e);t&&(r=t.createStream(r,n));r=this.filter(r,e,n);r.dict=e;return r}filter(e,t,a){let r=t.get("F","Filter"),i=t.get("DP","DecodeParms");if(r instanceof Name){Array.isArray(i)&&warn("/DecodeParms should not be an Array, when /Filter is a Name.");return this.makeFilter(e,r.name,a,i)}let n=a;if(Array.isArray(r)){const t=r,a=i;for(let s=0,o=t.length;s<o;++s){r=this.xref.fetchIfRef(t[s]);if(!(r instanceof Name)\
+)throw new FormatError(`Bad filter name "${r}"`);i=null;Array.isArray(a)&&s in a&&(i=this.xref.fetchIfRef(a[s]));e=this.makeFilter(e,r.name,n,i);n=null}}return e}makeFilter(e,t,a,r){if(0===a){warn(`Empty "${t}" stream.`);return new NullStream}try{switch(t){case"Fl":case"FlateDecode":return r?new PredictorStream(new FlateStream(e,a),a,r):new FlateStream(e,a);case"LZW":case"LZWDecode":let t=1;if(r){r.has("EarlyChange")&&(t=r.get("EarlyChange"));return new PredictorStream(new LZWStream(e,a,t),a,r)}\
+return new LZWStream(e,a,t);case"DCT":case"DCTDecode":return new JpegStream(e,a,r);case"JPX":case"JPXDecode":return new JpxStream(e,a,r);case"A85":case"ASCII85Decode":return new Ascii85Stream(e,a);case"AHx":case"ASCIIHexDecode":return new AsciiHexStream(e,a);case"CCF":case"CCITTFaxDecode":return new CCITTFaxStream(e,a,r);case"RL":case"RunLengthDecode":return new RunLengthStream(e,a);case"JBIG2Decode":return new Jbig2Stream(e,a,r)}warn(`Filter "${t}" is not supported.`);return e}catch(e){if(e ins\
+tanceof MissingDataException)throw e;warn(`Invalid stream: "${e}"`);return new NullStream}}}const mr=[1,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,2,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,\
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];function toHexDigit(e){return e>=48&&e<=57?15&e:e>=65&&e<=70||e>=97&&e<=102?9+(15&e):-1}class Lexer{constructor(e,t=null){this.stream=e;this.nextChar();this.strBuf=[];this.knownCommands=t;this._hexStringNumWarn=0;this.beginInlineImagePos=-1}nextChar(){return this.currentChar=this.stream.getByte()}peekChar(){return this.stream.peekByte()}getNumber(){let e=this.currentChar,t=!1,a=0,r=\
+1;if(45===e){r=-1;e=this.nextChar();45===e&&(e=this.nextChar())}else 43===e&&(e=this.nextChar());if(10===e||13===e)do{e=this.nextChar()}while(10===e||13===e);if(46===e){a=10;e=this.nextChar()}if(e<48||e>57){const t=`Invalid number: ${String.fromCharCode(e)} (charCode ${e})`;if(isWhiteSpace(e)||40===e||60===e||-1===e){info(`Lexer.getNumber - "${t}".`);return 0}throw new FormatError(t)}let i=e-48,n=0,s=1;for(;(e=this.nextChar())>=0;)if(e>=48&&e<=57){const r=e-48;if(t)n=10*n+r;else{0!==a&&(a*=10);i\
+=10*i+r}}else if(46===e){if(0!==a)break;a=1}else if(45===e)warn("Badly formatted number: minus sign in the middle");else{if(69!==e&&101!==e)break;e=this.peekChar();if(43===e||45===e){s=45===e?-1:1;this.nextChar()}else if(e<48||e>57)break;t=!0}0!==a&&(i/=a);t&&(i*=10**(s*n));return r*i}getString(){let e=1,t=!1;const a=this.strBuf;a.length=0;let r=this.nextChar();for(;;){let i=!1;switch(0|r){case-1:warn("Unterminated string");t=!0;break;case 40:++e;a.push("(");break;case 41:if(0==--e){this.nextCha\
+r();t=!0}else a.push(")");break;case 92:r=this.nextChar();switch(r){case-1:warn("Unterminated string");t=!0;break;case 110:a.push("\\n");break;case 114:a.push("\\r");break;case 116:a.push("\\t");break;case 98:a.push("\\b");break;case 102:a.push("\\f");break;case 92:case 40:case 41:a.push(String.fromCharCode(r));break;case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:let e=15&r;r=this.nextChar();i=!0;if(r>=48&&r<=55){e=(e<<3)+(15&r);r=this.nextChar();if(r>=48&&r<=55){i=!1;e=(e<<3)+(15&r)\
+}}a.push(String.fromCharCode(e));break;case 13:10===this.peekChar()&&this.nextChar();break;case 10:break;default:a.push(String.fromCharCode(r))}break;default:a.push(String.fromCharCode(r))}if(t)break;i||(r=this.nextChar())}return a.join("")}getName(){let e,t;const a=this.strBuf;a.length=0;for(;(e=this.nextChar())>=0&&!mr[e];)if(35===e){e=this.nextChar();if(mr[e]){warn("Lexer_getName: NUMBER SIGN (#) should be followed by a hexadecimal number.");a.push("#");break}const r=toHexDigit(e);if(-1!==r){\
+t=e;e=this.nextChar();const i=toHexDigit(e);if(-1===i){warn(`Lexer_getName: Illegal digit (${String.fromCharCode(e)}) in hexadecimal number.`);a.push("#",String.fromCharCode(t));if(mr[e])break;a.push(String.fromCharCode(e));continue}a.push(String.fromCharCode(r<<4|i))}else a.push("#",String.fromCharCode(e))}else a.push(String.fromCharCode(e));a.length>127&&warn(`Name token is longer than allowed by the spec: ${a.length}`);return Name.get(a.join(""))}_hexStringWarn(e){5!=this._hexStringNumWarn++?\
+this._hexStringNumWarn>5||warn(`getHexString - ignoring invalid character: ${e}`):warn("getHexString - ignoring additional invalid characters.")}getHexString(){const e=this.strBuf;e.length=0;let t=this.currentChar,a=-1,r=-1;this._hexStringNumWarn=0;for(;;){if(t<0){warn("Unterminated hex string");break}if(62===t){this.nextChar();break}if(1!==mr[t]){r=toHexDigit(t);if(-1===r)this._hexStringWarn(t);else if(-1===a)a=r;else{e.push(String.fromCharCode(a<<4|r));a=-1}t=this.nextChar()}else t=this.nextCh\
+ar()}-1!==a&&e.push(String.fromCharCode(a<<4));return e.join("")}getObj(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(1!==mr[t])break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return this.getNumber();case 40:return this.getString();case 47:return this.getName();case 91:this.nextChar();return Cmd.get("[");case 93:this.nextChar();return Cmd.ge\
+t("]");case 60:t=this.nextChar();if(60===t){this.nextChar();return Cmd.get("<<")}return this.getHexString();case 62:t=this.nextChar();if(62===t){this.nextChar();return Cmd.get(">>")}return Cmd.get(">");case 123:this.nextChar();return Cmd.get("{");case 125:this.nextChar();return Cmd.get("}");case 41:this.nextChar();throw new FormatError(`Illegal character: ${t}`)}let a=String.fromCharCode(t);if(t<32||t>127){const e=this.peekChar();if(e>=32&&e<=127){this.nextChar();return Cmd.get(a)}}const r=this.\
+knownCommands;let i=void 0!==r?.[a];for(;(t=this.nextChar())>=0&&!mr[t];){const e=a+String.fromCharCode(t);if(i&&void 0===r[e])break;if(128===a.length)throw new FormatError(`Command token too long: ${a.length}`);a=e;i=void 0!==r?.[a]}if("true"===a)return!0;if("false"===a)return!1;if("null"===a)return null;"BI"===a&&(this.beginInlineImagePos=this.stream.pos);return Cmd.get(a)}skipToNextLine(){let e=this.currentChar;for(;e>=0;){if(13===e){e=this.nextChar();10===e&&this.nextChar();break}if(10===e){\
+this.nextChar();break}e=this.nextChar()}}}class Linearization{static create(e){function getInt(e,t,a=!1){const r=e.get(t);if(Number.isInteger(r)&&(a?r>=0:r>0))return r;throw new Error(`The "${t}" parameter in the linearization dictionary is invalid.`)}const t=new Parser({lexer:new Lexer(e),xref:null}),a=t.getObj(),r=t.getObj(),i=t.getObj(),n=t.getObj();let s,o;if(!(Number.isInteger(a)&&Number.isInteger(r)&&isCmd(i,"obj")&&n instanceof Dict&&"number"==typeof(s=n.get("Linearized"))&&s>0))return nu\
+ll;if((o=getInt(n,"L"))!==e.length)throw new Error(\'The "L" parameter in the linearization dictionary does not equal the stream length.\');return{length:o,hints:function getHints(e){const t=e.get("H");let a;if(Array.isArray(t)&&(2===(a=t.length)||4===a)){for(let e=0;e<a;e++){const a=t[e];if(!(Number.isInteger(a)&&a>0))throw new Error(`Hint (${e}) in the linearization dictionary is invalid.`)}return t}throw new Error("Hint array in the linearization dictionary is invalid.")}(n),objectNumberFirst:g\
+etInt(n,"O"),endFirst:getInt(n,"E"),numPages:getInt(n,"N"),mainXRefEntriesOffset:getInt(n,"T"),pageFirst:n.has("P")?getInt(n,"P",!0):0}}}const br=["Adobe-GB1-UCS2","Adobe-CNS1-UCS2","Adobe-Japan1-UCS2","Adobe-Korea1-UCS2","78-EUC-H","78-EUC-V","78-H","78-RKSJ-H","78-RKSJ-V","78-V","78ms-RKSJ-H","78ms-RKSJ-V","83pv-RKSJ-H","90ms-RKSJ-H","90ms-RKSJ-V","90msp-RKSJ-H","90msp-RKSJ-V","90pv-RKSJ-H","90pv-RKSJ-V","Add-H","Add-RKSJ-H","Add-RKSJ-V","Add-V","Adobe-CNS1-0","Adobe-CNS1-1","Adobe-CNS1-2","Ad\
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+IS-UTF32-H","UniJIS-UTF32-V","UniJIS-UTF8-H","UniJIS-UTF8-V","UniJIS2004-UTF16-H","UniJIS2004-UTF16-V","UniJIS2004-UTF32-H","UniJIS2004-UTF32-V","UniJIS2004-UTF8-H","UniJIS2004-UTF8-V","UniJISPro-UCS2-HW-V","UniJISPro-UCS2-V","UniJISPro-UTF8-V","UniJISX0213-UTF32-H","UniJISX0213-UTF32-V","UniJISX02132004-UTF32-H","UniJISX02132004-UTF32-V","UniKS-UCS2-H","UniKS-UCS2-V","UniKS-UTF16-H","UniKS-UTF16-V","UniKS-UTF32-H","UniKS-UTF32-V","UniKS-UTF8-H","UniKS-UTF8-V","V","WP-Symbol"],yr=2**24-1;class C\
+Map{constructor(e=!1){this.codespaceRanges=[[],[],[],[]];this.numCodespaceRanges=0;this._map=[];this.name="";this.vertical=!1;this.useCMap=null;this.builtInCMap=e}addCodespaceRange(e,t,a){this.codespaceRanges[e-1].push(t,a);this.numCodespaceRanges++}mapCidRange(e,t,a){if(t-e>yr)throw new Error("mapCidRange - ignoring data above MAX_MAP_RANGE.");for(;e<=t;)this._map[e++]=a++}mapBfRange(e,t,a){if(t-e>yr)throw new Error("mapBfRange - ignoring data above MAX_MAP_RANGE.");const r=a.length-1;for(;e<=t\
+;){this._map[e++]=a;const t=a.charCodeAt(r)+1;t>255?a=a.substring(0,r-1)+String.fromCharCode(a.charCodeAt(r-1)+1)+"\\0":a=a.substring(0,r)+String.fromCharCode(t)}}mapBfRangeToArray(e,t,a){if(t-e>yr)throw new Error("mapBfRangeToArray - ignoring data above MAX_MAP_RANGE.");const r=a.length;let i=0;for(;e<=t&&i<r;){this._map[e]=a[i++];++e}}mapOne(e,t){this._map[e]=t}lookup(e){return this._map[e]}contains(e){return void 0!==this._map[e]}forEach(e){const t=this._map,a=t.length;if(a<=65536)for(let r=0;\
+r<a;r++)void 0!==t[r]&&e(r,t[r]);else for(const a in t)e(a,t[a])}charCodeOf(e){const t=this._map;if(t.length<=65536)return t.indexOf(e);for(const a in t)if(t[a]===e)return 0|a;return-1}getMap(){return this._map}readCharCode(e,t,a){let r=0;const i=this.codespaceRanges;for(let n=0,s=i.length;n<s;n++){r=(r<<8|e.charCodeAt(t+n))>>>0;const s=i[n];for(let e=0,t=s.length;e<t;){const t=s[e++],i=s[e++];if(r>=t&&r<=i){a.charcode=r;a.length=n+1;return}}}a.charcode=0;a.length=1}getCharCodeLength(e){const t=\
+this.codespaceRanges;for(let a=0,r=t.length;a<r;a++){const r=t[a];for(let t=0,i=r.length;t<i;){const i=r[t++],n=r[t++];if(e>=i&&e<=n)return a+1}}return 1}get length(){return this._map.length}get isIdentityCMap(){if("Identity-H"!==this.name&&"Identity-V"!==this.name)return!1;if(65536!==this._map.length)return!1;for(let e=0;e<65536;e++)if(this._map[e]!==e)return!1;return!0}}class IdentityCMap extends CMap{constructor(e,t){super();this.vertical=e;this.addCodespaceRange(t,0,65535)}mapCidRange(e,t,a)\
+{unreachable("should not call mapCidRange")}mapBfRange(e,t,a){unreachable("should not call mapBfRange")}mapBfRangeToArray(e,t,a){unreachable("should not call mapBfRangeToArray")}mapOne(e,t){unreachable("should not call mapCidOne")}lookup(e){return Number.isInteger(e)&&e<=65535?e:void 0}contains(e){return Number.isInteger(e)&&e<=65535}forEach(e){for(let t=0;t<=65535;t++)e(t,t)}charCodeOf(e){return Number.isInteger(e)&&e<=65535?e:-1}getMap(){const e=new Array(65536);for(let t=0;t<=65535;t++)e[t]=t\
+;return e}get length(){return 65536}get isIdentityCMap(){unreachable("should not access .isIdentityCMap")}}function strToInt(e){let t=0;for(let a=0;a<e.length;a++)t=t<<8|e.charCodeAt(a);return t>>>0}function expectString(e){if("string"!=typeof e)throw new FormatError("Malformed CMap: expected string.")}function expectInt(e){if(!Number.isInteger(e))throw new FormatError("Malformed CMap: expected int.")}function parseBfChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfchar"))retu\
+rn;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=a;e.mapOne(r,i)}}function parseBfRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();if(Number.isInteger(a)||"string"==typeof a){const t=Number.isInteger(a)?String.fromCharCode(a):a;e.mapBfRange(r,i,t)}else{if(!isCmd(a,"["))break;{a=t.getObj();const n=[];for(;!isCmd(a,"]")&&a!==wa;){n.push(a);\
+a=t.getObj()}e.mapBfRangeToArray(r,i,n)}}}throw new FormatError("Invalid bf range.")}function parseCidChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidchar"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectInt(a);const i=a;e.mapOne(r,i)}}function parseCidRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();expectInt(a);const n=a;e.map\
+CidRange(r,i,n)}}function parseCodespaceRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcodespacerange"))return;if("string"!=typeof a)break;const r=strToInt(a);a=t.getObj();if("string"!=typeof a)break;const i=strToInt(a);e.addCodespaceRange(a.length,r,i)}throw new FormatError("Invalid codespace range.")}function parseWMode(e,t){const a=t.getObj();Number.isInteger(a)&&(e.vertical=!!a)}function parseCMapName(e,t){const a=t.getObj();a instanceof Name&&(e.name=a.name)}async functi\
+on parseCMap(e,t,a,r){let i,n;e:for(;;)try{const a=t.getObj();if(a===wa)break;if(a instanceof Name){"WMode"===a.name?parseWMode(e,t):"CMapName"===a.name&&parseCMapName(e,t);i=a}else if(a instanceof Cmd)switch(a.cmd){case"endcmap":break e;case"usecmap":i instanceof Name&&(n=i.name);break;case"begincodespacerange":parseCodespaceRange(e,t);break;case"beginbfchar":parseBfChar(e,t);break;case"begincidchar":parseCidChar(e,t);break;case"beginbfrange":parseBfRange(e,t);break;case"begincidrange":parseCid\
+Range(e,t)}}catch(e){if(e instanceof MissingDataException)throw e;warn("Invalid cMap data: "+e);continue}!r&&n&&(r=n);return r?extendCMap(e,a,r):e}async function extendCMap(e,t,a){e.useCMap=await createBuiltInCMap(a,t);if(0===e.numCodespaceRanges){const t=e.useCMap.codespaceRanges;for(let a=0;a<t.length;a++)e.codespaceRanges[a]=t[a].slice();e.numCodespaceRanges=e.useCMap.numCodespaceRanges}e.useCMap.forEach((function(t,a){e.contains(t)||e.mapOne(t,a)}));return e}async function createBuiltInCMap(\
+e,t){if("Identity-H"===e)return new IdentityCMap(!1,2);if("Identity-V"===e)return new IdentityCMap(!0,2);if(!br.includes(e))throw new Error("Unknown CMap name: "+e);if(!t)throw new Error("Built-in CMap parameters are not provided.");const{cMapData:a,isCompressed:r}=await t(e),i=new CMap(!0);if(r)return(new BinaryCMapReader).process(a,i,(e=>extendCMap(i,t,e)));const n=new Lexer(new Stream(a));return parseCMap(i,n,t,null)}class CMapFactory{static async create({encoding:e,fetchBuiltInCMap:t,useCMap\
+:a}){if(e instanceof Name)return createBuiltInCMap(e.name,t);if(e instanceof BaseStream){const r=await parseCMap(new CMap,new Lexer(e),t,a);return r.isIdentityCMap?createBuiltInCMap(r.name,t):r}throw new Error("Encoding required.")}}const wr=["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","space","exclamsmall","Hungarumlautsmall","","dollaroldstyle","dollarsuperior","ampersandsmall","Acutesmall","parenleftsuperior","parenrightsuperior","twodotenle\
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+numbersign","dollar","percent","ampersand","quotesingle","parenleft","parenright","asterisk","plus","comma","hyphen","period","slash","zero","one","two","three","four","five","six","seven","eight","nine","colon","semicolon","less","equal","greater","question","at","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z","bracketleft","backslash","bracketright","asciicircum","underscore","grave","a","b","c","d","e","f","g","h","i","j","k","l","m","n"\
+,"o","p","q","r","s","t","u","v","w","x","y","z","braceleft","bar","braceright","asciitilde","bullet","Euro","bullet","quotesinglbase","florin","quotedblbase","ellipsis","dagger","daggerdbl","circumflex","perthousand","Scaron","guilsinglleft","OE","bullet","Zcaron","bullet","bullet","quoteleft","quoteright","quotedblleft","quotedblright","bullet","endash","emdash","tilde","trademark","scaron","guilsinglright","oe","bullet","zcaron","Ydieresis","space","exclamdown","cent","sterling","currency","y\
+en","brokenbar","section","dieresis","copyright","ordfeminine","guillemotleft","logicalnot","hyphen","registered","macron","degree","plusminus","twosuperior","threesuperior","acute","mu","paragraph","periodcentered","cedilla","onesuperior","ordmasculine","guillemotright","onequarter","onehalf","threequarters","questiondown","Agrave","Aacute","Acircumflex","Atilde","Adieresis","Aring","AE","Ccedilla","Egrave","Eacute","Ecircumflex","Edieresis","Igrave","Iacute","Icircumflex","Idieresis","Eth","Nt\
+ilde","Ograve","Oacute","Ocircumflex","Otilde","Odieresis","multiply","Oslash","Ugrave","Uacute","Ucircumflex","Udieresis","Yacute","Thorn","germandbls","agrave","aacute","acircumflex","atilde","adieresis","aring","ae","ccedilla","egrave","eacute","ecircumflex","edieresis","igrave","iacute","icircumflex","idieresis","eth","ntilde","ograve","oacute","ocircumflex","otilde","odieresis","divide","oslash","ugrave","uacute","ucircumflex","udieresis","yacute","thorn","ydieresis"],Cr=["","","","","","",\
+"","","","","","","","","","","","","","","","","","","","","","","","","","","space","exclam","universal","numbersign","existential","percent","ampersand","suchthat","parenleft","parenright","asteriskmath","plus","comma","minus","period","slash","zero","one","two","three","four","five","six","seven","eight","nine","colon","semicolon","less","equal","greater","question","congruent","Alpha","Beta","Chi","Delta","Epsilon","Phi","Gamma","Eta","Iota","theta1","Kappa","Lambda","Mu","Nu","Omicron","Pi\
+","Theta","Rho","Sigma","Tau","Upsilon","sigma1","Omega","Xi","Psi","Zeta","bracketleft","therefore","bracketright","perpendicular","underscore","radicalex","alpha","beta","chi","delta","epsilon","phi","gamma","eta","iota","phi1","kappa","lambda","mu","nu","omicron","pi","theta","rho","sigma","tau","upsilon","omega1","omega","xi","psi","zeta","braceleft","bar","braceright","similar","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","Euro","Upsilon\
+1","minute","lessequal","fraction","infinity","florin","club","diamond","heart","spade","arrowboth","arrowleft","arrowup","arrowright","arrowdown","degree","plusminus","second","greaterequal","multiply","proportional","partialdiff","bullet","divide","notequal","equivalence","approxequal","ellipsis","arrowvertex","arrowhorizex","carriagereturn","aleph","Ifraktur","Rfraktur","weierstrass","circlemultiply","circleplus","emptyset","intersection","union","propersuperset","reflexsuperset","notsubset",\
+"propersubset","reflexsubset","element","notelement","angle","gradient","registerserif","copyrightserif","trademarkserif","product","radical","dotmath","logicalnot","logicaland","logicalor","arrowdblboth","arrowdblleft","arrowdblup","arrowdblright","arrowdbldown","lozenge","angleleft","registersans","copyrightsans","trademarksans","summation","parenlefttp","parenleftex","parenleftbt","bracketlefttp","bracketleftex","bracketleftbt","bracelefttp","braceleftmid","braceleftbt","braceex","","anglerig\
+ht","integral","integraltp","integralex","integralbt","parenrighttp","parenrightex","parenrightbt","bracketrighttp","bracketrightex","bracketrightbt","bracerighttp","bracerightmid","bracerightbt",""],vr=["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","space","a1","a2","a202","a3","a4","a5","a119","a118","a117","a11","a12","a13","a14","a15","a16","a105","a17","a18","a19","a20","a21","a22","a23","a24","a25","a26","a27","a28","a6","a7","a8","a9","a10\
+","a29","a30","a31","a32","a33","a34","a35","a36","a37","a38","a39","a40","a41","a42","a43","a44","a45","a46","a47","a48","a49","a50","a51","a52","a53","a54","a55","a56","a57","a58","a59","a60","a61","a62","a63","a64","a65","a66","a67","a68","a69","a70","a71","a72","a73","a74","a203","a75","a204","a76","a77","a78","a79","a81","a82","a83","a84","a97","a98","a99","a100","","a89","a90","a93","a94","a91","a92","a205","a85","a206","a86","a87","a88","a95","a96","","","","","","","","","","","","","","\
+","","","","","","a101","a102","a103","a104","a106","a107","a108","a112","a111","a110","a109","a120","a121","a122","a123","a124","a125","a126","a127","a128","a129","a130","a131","a132","a133","a134","a135","a136","a137","a138","a139","a140","a141","a142","a143","a144","a145","a146","a147","a148","a149","a150","a151","a152","a153","a154","a155","a156","a157","a158","a159","a160","a161","a163","a164","a196","a165","a192","a166","a167","a168","a169","a170","a171","a172","a173","a162","a174","a175",\
+"a176","a177","a178","a179","a193","a180","a199","a181","a200","a182","","a201","a183","a184","a197","a185","a194","a198","a186","a195","a187","a188","a189","a190","a191",""];function getEncoding(e){switch(e){case"WinAnsiEncoding":return kr;case"StandardEncoding":return Ar;case"MacRomanEncoding":return Sr;case"SymbolSetEncoding":return Cr;case"ZapfDingbatsEncoding":return vr;case"ExpertEncoding":return wr;case"MacExpertEncoding":return xr;default:return null}}const Fr=getLookupTableFactory((func\
+tion(e){e.A=65;e.AE=198;e.AEacute=508;e.AEmacron=482;e.AEsmall=63462;e.Aacute=193;e.Aacutesmall=63457;e.Abreve=258;e.Abreveacute=7854;e.Abrevecyrillic=1232;e.Abrevedotbelow=7862;e.Abrevegrave=7856;e.Abrevehookabove=7858;e.Abrevetilde=7860;e.Acaron=461;e.Acircle=9398;e.Acircumflex=194;e.Acircumflexacute=7844;e.Acircumflexdotbelow=7852;e.Acircumflexgrave=7846;e.Acircumflexhookabove=7848;e.Acircumflexsmall=63458;e.Acircumflextilde=7850;e.Acute=63177;e.Acutesmall=63412;e.Acyrillic=1040;e.Adblgrave=5\
+12;e.Adieresis=196;e.Adieresiscyrillic=1234;e.Adieresismacron=478;e.Adieresissmall=63460;e.Adotbelow=7840;e.Adotmacron=480;e.Agrave=192;e.Agravesmall=63456;e.Ahookabove=7842;e.Aiecyrillic=1236;e.Ainvertedbreve=514;e.Alpha=913;e.Alphatonos=902;e.Amacron=256;e.Amonospace=65313;e.Aogonek=260;e.Aring=197;e.Aringacute=506;e.Aringbelow=7680;e.Aringsmall=63461;e.Asmall=63329;e.Atilde=195;e.Atildesmall=63459;e.Aybarmenian=1329;e.B=66;e.Bcircle=9399;e.Bdotaccent=7682;e.Bdotbelow=7684;e.Becyrillic=1041;e.\
+Benarmenian=1330;e.Beta=914;e.Bhook=385;e.Blinebelow=7686;e.Bmonospace=65314;e.Brevesmall=63220;e.Bsmall=63330;e.Btopbar=386;e.C=67;e.Caarmenian=1342;e.Cacute=262;e.Caron=63178;e.Caronsmall=63221;e.Ccaron=268;e.Ccedilla=199;e.Ccedillaacute=7688;e.Ccedillasmall=63463;e.Ccircle=9400;e.Ccircumflex=264;e.Cdot=266;e.Cdotaccent=266;e.Cedillasmall=63416;e.Chaarmenian=1353;e.Cheabkhasiancyrillic=1212;e.Checyrillic=1063;e.Chedescenderabkhasiancyrillic=1214;e.Chedescendercyrillic=1206;e.Chedieresiscyrilli\
+c=1268;e.Cheharmenian=1347;e.Chekhakassiancyrillic=1227;e.Cheverticalstrokecyrillic=1208;e.Chi=935;e.Chook=391;e.Circumflexsmall=63222;e.Cmonospace=65315;e.Coarmenian=1361;e.Csmall=63331;e.D=68;e.DZ=497;e.DZcaron=452;e.Daarmenian=1332;e.Dafrican=393;e.Dcaron=270;e.Dcedilla=7696;e.Dcircle=9401;e.Dcircumflexbelow=7698;e.Dcroat=272;e.Ddotaccent=7690;e.Ddotbelow=7692;e.Decyrillic=1044;e.Deicoptic=1006;e.Delta=8710;e.Deltagreek=916;e.Dhook=394;e.Dieresis=63179;e.DieresisAcute=63180;e.DieresisGrave=63\
+181;e.Dieresissmall=63400;e.Digammagreek=988;e.Djecyrillic=1026;e.Dlinebelow=7694;e.Dmonospace=65316;e.Dotaccentsmall=63223;e.Dslash=272;e.Dsmall=63332;e.Dtopbar=395;e.Dz=498;e.Dzcaron=453;e.Dzeabkhasiancyrillic=1248;e.Dzecyrillic=1029;e.Dzhecyrillic=1039;e.E=69;e.Eacute=201;e.Eacutesmall=63465;e.Ebreve=276;e.Ecaron=282;e.Ecedillabreve=7708;e.Echarmenian=1333;e.Ecircle=9402;e.Ecircumflex=202;e.Ecircumflexacute=7870;e.Ecircumflexbelow=7704;e.Ecircumflexdotbelow=7878;e.Ecircumflexgrave=7872;e.Ecir\
+cumflexhookabove=7874;e.Ecircumflexsmall=63466;e.Ecircumflextilde=7876;e.Ecyrillic=1028;e.Edblgrave=516;e.Edieresis=203;e.Edieresissmall=63467;e.Edot=278;e.Edotaccent=278;e.Edotbelow=7864;e.Efcyrillic=1060;e.Egrave=200;e.Egravesmall=63464;e.Eharmenian=1335;e.Ehookabove=7866;e.Eightroman=8551;e.Einvertedbreve=518;e.Eiotifiedcyrillic=1124;e.Elcyrillic=1051;e.Elevenroman=8554;e.Emacron=274;e.Emacronacute=7702;e.Emacrongrave=7700;e.Emcyrillic=1052;e.Emonospace=65317;e.Encyrillic=1053;e.Endescendercy\
+rillic=1186;e.Eng=330;e.Enghecyrillic=1188;e.Enhookcyrillic=1223;e.Eogonek=280;e.Eopen=400;e.Epsilon=917;e.Epsilontonos=904;e.Ercyrillic=1056;e.Ereversed=398;e.Ereversedcyrillic=1069;e.Escyrillic=1057;e.Esdescendercyrillic=1194;e.Esh=425;e.Esmall=63333;e.Eta=919;e.Etarmenian=1336;e.Etatonos=905;e.Eth=208;e.Ethsmall=63472;e.Etilde=7868;e.Etildebelow=7706;e.Euro=8364;e.Ezh=439;e.Ezhcaron=494;e.Ezhreversed=440;e.F=70;e.Fcircle=9403;e.Fdotaccent=7710;e.Feharmenian=1366;e.Feicoptic=996;e.Fhook=401;e.\
+Fitacyrillic=1138;e.Fiveroman=8548;e.Fmonospace=65318;e.Fourroman=8547;e.Fsmall=63334;e.G=71;e.GBsquare=13191;e.Gacute=500;e.Gamma=915;e.Gammaafrican=404;e.Gangiacoptic=1002;e.Gbreve=286;e.Gcaron=486;e.Gcedilla=290;e.Gcircle=9404;e.Gcircumflex=284;e.Gcommaaccent=290;e.Gdot=288;e.Gdotaccent=288;e.Gecyrillic=1043;e.Ghadarmenian=1346;e.Ghemiddlehookcyrillic=1172;e.Ghestrokecyrillic=1170;e.Gheupturncyrillic=1168;e.Ghook=403;e.Gimarmenian=1331;e.Gjecyrillic=1027;e.Gmacron=7712;e.Gmonospace=65319;e.Gr\
+ave=63182;e.Gravesmall=63328;e.Gsmall=63335;e.Gsmallhook=667;e.Gstroke=484;e.H=72;e.H18533=9679;e.H18543=9642;e.H18551=9643;e.H22073=9633;e.HPsquare=13259;e.Haabkhasiancyrillic=1192;e.Hadescendercyrillic=1202;e.Hardsigncyrillic=1066;e.Hbar=294;e.Hbrevebelow=7722;e.Hcedilla=7720;e.Hcircle=9405;e.Hcircumflex=292;e.Hdieresis=7718;e.Hdotaccent=7714;e.Hdotbelow=7716;e.Hmonospace=65320;e.Hoarmenian=1344;e.Horicoptic=1e3;e.Hsmall=63336;e.Hungarumlaut=63183;e.Hungarumlautsmall=63224;e.Hzsquare=13200;e.I\
+=73;e.IAcyrillic=1071;e.IJ=306;e.IUcyrillic=1070;e.Iacute=205;e.Iacutesmall=63469;e.Ibreve=300;e.Icaron=463;e.Icircle=9406;e.Icircumflex=206;e.Icircumflexsmall=63470;e.Icyrillic=1030;e.Idblgrave=520;e.Idieresis=207;e.Idieresisacute=7726;e.Idieresiscyrillic=1252;e.Idieresissmall=63471;e.Idot=304;e.Idotaccent=304;e.Idotbelow=7882;e.Iebrevecyrillic=1238;e.Iecyrillic=1045;e.Ifraktur=8465;e.Igrave=204;e.Igravesmall=63468;e.Ihookabove=7880;e.Iicyrillic=1048;e.Iinvertedbreve=522;e.Iishortcyrillic=1049;\
+e.Imacron=298;e.Imacroncyrillic=1250;e.Imonospace=65321;e.Iniarmenian=1339;e.Iocyrillic=1025;e.Iogonek=302;e.Iota=921;e.Iotaafrican=406;e.Iotadieresis=938;e.Iotatonos=906;e.Ismall=63337;e.Istroke=407;e.Itilde=296;e.Itildebelow=7724;e.Izhitsacyrillic=1140;e.Izhitsadblgravecyrillic=1142;e.J=74;e.Jaarmenian=1345;e.Jcircle=9407;e.Jcircumflex=308;e.Jecyrillic=1032;e.Jheharmenian=1355;e.Jmonospace=65322;e.Jsmall=63338;e.K=75;e.KBsquare=13189;e.KKsquare=13261;e.Kabashkircyrillic=1184;e.Kacute=7728;e.Ka\
+cyrillic=1050;e.Kadescendercyrillic=1178;e.Kahookcyrillic=1219;e.Kappa=922;e.Kastrokecyrillic=1182;e.Kaverticalstrokecyrillic=1180;e.Kcaron=488;e.Kcedilla=310;e.Kcircle=9408;e.Kcommaaccent=310;e.Kdotbelow=7730;e.Keharmenian=1364;e.Kenarmenian=1343;e.Khacyrillic=1061;e.Kheicoptic=998;e.Khook=408;e.Kjecyrillic=1036;e.Klinebelow=7732;e.Kmonospace=65323;e.Koppacyrillic=1152;e.Koppagreek=990;e.Ksicyrillic=1134;e.Ksmall=63339;e.L=76;e.LJ=455;e.LL=63167;e.Lacute=313;e.Lambda=923;e.Lcaron=317;e.Lcedilla\
+=315;e.Lcircle=9409;e.Lcircumflexbelow=7740;e.Lcommaaccent=315;e.Ldot=319;e.Ldotaccent=319;e.Ldotbelow=7734;e.Ldotbelowmacron=7736;e.Liwnarmenian=1340;e.Lj=456;e.Ljecyrillic=1033;e.Llinebelow=7738;e.Lmonospace=65324;e.Lslash=321;e.Lslashsmall=63225;e.Lsmall=63340;e.M=77;e.MBsquare=13190;e.Macron=63184;e.Macronsmall=63407;e.Macute=7742;e.Mcircle=9410;e.Mdotaccent=7744;e.Mdotbelow=7746;e.Menarmenian=1348;e.Mmonospace=65325;e.Msmall=63341;e.Mturned=412;e.Mu=924;e.N=78;e.NJ=458;e.Nacute=323;e.Ncaron\
+=327;e.Ncedilla=325;e.Ncircle=9411;e.Ncircumflexbelow=7754;e.Ncommaaccent=325;e.Ndotaccent=7748;e.Ndotbelow=7750;e.Nhookleft=413;e.Nineroman=8552;e.Nj=459;e.Njecyrillic=1034;e.Nlinebelow=7752;e.Nmonospace=65326;e.Nowarmenian=1350;e.Nsmall=63342;e.Ntilde=209;e.Ntildesmall=63473;e.Nu=925;e.O=79;e.OE=338;e.OEsmall=63226;e.Oacute=211;e.Oacutesmall=63475;e.Obarredcyrillic=1256;e.Obarreddieresiscyrillic=1258;e.Obreve=334;e.Ocaron=465;e.Ocenteredtilde=415;e.Ocircle=9412;e.Ocircumflex=212;e.Ocircumflexa\
+cute=7888;e.Ocircumflexdotbelow=7896;e.Ocircumflexgrave=7890;e.Ocircumflexhookabove=7892;e.Ocircumflexsmall=63476;e.Ocircumflextilde=7894;e.Ocyrillic=1054;e.Odblacute=336;e.Odblgrave=524;e.Odieresis=214;e.Odieresiscyrillic=1254;e.Odieresissmall=63478;e.Odotbelow=7884;e.Ogoneksmall=63227;e.Ograve=210;e.Ogravesmall=63474;e.Oharmenian=1365;e.Ohm=8486;e.Ohookabove=7886;e.Ohorn=416;e.Ohornacute=7898;e.Ohorndotbelow=7906;e.Ohorngrave=7900;e.Ohornhookabove=7902;e.Ohorntilde=7904;e.Ohungarumlaut=336;e.O\
+i=418;e.Oinvertedbreve=526;e.Omacron=332;e.Omacronacute=7762;e.Omacrongrave=7760;e.Omega=8486;e.Omegacyrillic=1120;e.Omegagreek=937;e.Omegaroundcyrillic=1146;e.Omegatitlocyrillic=1148;e.Omegatonos=911;e.Omicron=927;e.Omicrontonos=908;e.Omonospace=65327;e.Oneroman=8544;e.Oogonek=490;e.Oogonekmacron=492;e.Oopen=390;e.Oslash=216;e.Oslashacute=510;e.Oslashsmall=63480;e.Osmall=63343;e.Ostrokeacute=510;e.Otcyrillic=1150;e.Otilde=213;e.Otildeacute=7756;e.Otildedieresis=7758;e.Otildesmall=63477;e.P=80;e\
+.Pacute=7764;e.Pcircle=9413;e.Pdotaccent=7766;e.Pecyrillic=1055;e.Peharmenian=1354;e.Pemiddlehookcyrillic=1190;e.Phi=934;e.Phook=420;e.Pi=928;e.Piwrarmenian=1363;e.Pmonospace=65328;e.Psi=936;e.Psicyrillic=1136;e.Psmall=63344;e.Q=81;e.Qcircle=9414;e.Qmonospace=65329;e.Qsmall=63345;e.R=82;e.Raarmenian=1356;e.Racute=340;e.Rcaron=344;e.Rcedilla=342;e.Rcircle=9415;e.Rcommaaccent=342;e.Rdblgrave=528;e.Rdotaccent=7768;e.Rdotbelow=7770;e.Rdotbelowmacron=7772;e.Reharmenian=1360;e.Rfraktur=8476;e.Rho=929;\
+e.Ringsmall=63228;e.Rinvertedbreve=530;e.Rlinebelow=7774;e.Rmonospace=65330;e.Rsmall=63346;e.Rsmallinverted=641;e.Rsmallinvertedsuperior=694;e.S=83;e.SF010000=9484;e.SF020000=9492;e.SF030000=9488;e.SF040000=9496;e.SF050000=9532;e.SF060000=9516;e.SF070000=9524;e.SF080000=9500;e.SF090000=9508;e.SF100000=9472;e.SF110000=9474;e.SF190000=9569;e.SF200000=9570;e.SF210000=9558;e.SF220000=9557;e.SF230000=9571;e.SF240000=9553;e.SF250000=9559;e.SF260000=9565;e.SF270000=9564;e.SF280000=9563;e.SF360000=9566;\
+e.SF370000=9567;e.SF380000=9562;e.SF390000=9556;e.SF400000=9577;e.SF410000=9574;e.SF420000=9568;e.SF430000=9552;e.SF440000=9580;e.SF450000=9575;e.SF460000=9576;e.SF470000=9572;e.SF480000=9573;e.SF490000=9561;e.SF500000=9560;e.SF510000=9554;e.SF520000=9555;e.SF530000=9579;e.SF540000=9578;e.Sacute=346;e.Sacutedotaccent=7780;e.Sampigreek=992;e.Scaron=352;e.Scarondotaccent=7782;e.Scaronsmall=63229;e.Scedilla=350;e.Schwa=399;e.Schwacyrillic=1240;e.Schwadieresiscyrillic=1242;e.Scircle=9416;e.Scircumfl\
+ex=348;e.Scommaaccent=536;e.Sdotaccent=7776;e.Sdotbelow=7778;e.Sdotbelowdotaccent=7784;e.Seharmenian=1357;e.Sevenroman=8550;e.Shaarmenian=1351;e.Shacyrillic=1064;e.Shchacyrillic=1065;e.Sheicoptic=994;e.Shhacyrillic=1210;e.Shimacoptic=1004;e.Sigma=931;e.Sixroman=8549;e.Smonospace=65331;e.Softsigncyrillic=1068;e.Ssmall=63347;e.Stigmagreek=986;e.T=84;e.Tau=932;e.Tbar=358;e.Tcaron=356;e.Tcedilla=354;e.Tcircle=9417;e.Tcircumflexbelow=7792;e.Tcommaaccent=354;e.Tdotaccent=7786;e.Tdotbelow=7788;e.Tecyri\
+llic=1058;e.Tedescendercyrillic=1196;e.Tenroman=8553;e.Tetsecyrillic=1204;e.Theta=920;e.Thook=428;e.Thorn=222;e.Thornsmall=63486;e.Threeroman=8546;e.Tildesmall=63230;e.Tiwnarmenian=1359;e.Tlinebelow=7790;e.Tmonospace=65332;e.Toarmenian=1337;e.Tonefive=444;e.Tonesix=388;e.Tonetwo=423;e.Tretroflexhook=430;e.Tsecyrillic=1062;e.Tshecyrillic=1035;e.Tsmall=63348;e.Twelveroman=8555;e.Tworoman=8545;e.U=85;e.Uacute=218;e.Uacutesmall=63482;e.Ubreve=364;e.Ucaron=467;e.Ucircle=9418;e.Ucircumflex=219;e.Ucirc\
+umflexbelow=7798;e.Ucircumflexsmall=63483;e.Ucyrillic=1059;e.Udblacute=368;e.Udblgrave=532;e.Udieresis=220;e.Udieresisacute=471;e.Udieresisbelow=7794;e.Udieresiscaron=473;e.Udieresiscyrillic=1264;e.Udieresisgrave=475;e.Udieresismacron=469;e.Udieresissmall=63484;e.Udotbelow=7908;e.Ugrave=217;e.Ugravesmall=63481;e.Uhookabove=7910;e.Uhorn=431;e.Uhornacute=7912;e.Uhorndotbelow=7920;e.Uhorngrave=7914;e.Uhornhookabove=7916;e.Uhorntilde=7918;e.Uhungarumlaut=368;e.Uhungarumlautcyrillic=1266;e.Uinvertedb\
+reve=534;e.Ukcyrillic=1144;e.Umacron=362;e.Umacroncyrillic=1262;e.Umacrondieresis=7802;e.Umonospace=65333;e.Uogonek=370;e.Upsilon=933;e.Upsilon1=978;e.Upsilonacutehooksymbolgreek=979;e.Upsilonafrican=433;e.Upsilondieresis=939;e.Upsilondieresishooksymbolgreek=980;e.Upsilonhooksymbol=978;e.Upsilontonos=910;e.Uring=366;e.Ushortcyrillic=1038;e.Usmall=63349;e.Ustraightcyrillic=1198;e.Ustraightstrokecyrillic=1200;e.Utilde=360;e.Utildeacute=7800;e.Utildebelow=7796;e.V=86;e.Vcircle=9419;e.Vdotbelow=7806\
+;e.Vecyrillic=1042;e.Vewarmenian=1358;e.Vhook=434;e.Vmonospace=65334;e.Voarmenian=1352;e.Vsmall=63350;e.Vtilde=7804;e.W=87;e.Wacute=7810;e.Wcircle=9420;e.Wcircumflex=372;e.Wdieresis=7812;e.Wdotaccent=7814;e.Wdotbelow=7816;e.Wgrave=7808;e.Wmonospace=65335;e.Wsmall=63351;e.X=88;e.Xcircle=9421;e.Xdieresis=7820;e.Xdotaccent=7818;e.Xeharmenian=1341;e.Xi=926;e.Xmonospace=65336;e.Xsmall=63352;e.Y=89;e.Yacute=221;e.Yacutesmall=63485;e.Yatcyrillic=1122;e.Ycircle=9422;e.Ycircumflex=374;e.Ydieresis=376;e.Y\
+dieresissmall=63487;e.Ydotaccent=7822;e.Ydotbelow=7924;e.Yericyrillic=1067;e.Yerudieresiscyrillic=1272;e.Ygrave=7922;e.Yhook=435;e.Yhookabove=7926;e.Yiarmenian=1349;e.Yicyrillic=1031;e.Yiwnarmenian=1362;e.Ymonospace=65337;e.Ysmall=63353;e.Ytilde=7928;e.Yusbigcyrillic=1130;e.Yusbigiotifiedcyrillic=1132;e.Yuslittlecyrillic=1126;e.Yuslittleiotifiedcyrillic=1128;e.Z=90;e.Zaarmenian=1334;e.Zacute=377;e.Zcaron=381;e.Zcaronsmall=63231;e.Zcircle=9423;e.Zcircumflex=7824;e.Zdot=379;e.Zdotaccent=379;e.Zdot\
+below=7826;e.Zecyrillic=1047;e.Zedescendercyrillic=1176;e.Zedieresiscyrillic=1246;e.Zeta=918;e.Zhearmenian=1338;e.Zhebrevecyrillic=1217;e.Zhecyrillic=1046;e.Zhedescendercyrillic=1174;e.Zhedieresiscyrillic=1244;e.Zlinebelow=7828;e.Zmonospace=65338;e.Zsmall=63354;e.Zstroke=437;e.a=97;e.aabengali=2438;e.aacute=225;e.aadeva=2310;e.aagujarati=2694;e.aagurmukhi=2566;e.aamatragurmukhi=2622;e.aarusquare=13059;e.aavowelsignbengali=2494;e.aavowelsigndeva=2366;e.aavowelsigngujarati=2750;e.abbreviationmarka\
+rmenian=1375;e.abbreviationsigndeva=2416;e.abengali=2437;e.abopomofo=12570;e.abreve=259;e.abreveacute=7855;e.abrevecyrillic=1233;e.abrevedotbelow=7863;e.abrevegrave=7857;e.abrevehookabove=7859;e.abrevetilde=7861;e.acaron=462;e.acircle=9424;e.acircumflex=226;e.acircumflexacute=7845;e.acircumflexdotbelow=7853;e.acircumflexgrave=7847;e.acircumflexhookabove=7849;e.acircumflextilde=7851;e.acute=180;e.acutebelowcmb=791;e.acutecmb=769;e.acutecomb=769;e.acutedeva=2388;e.acutelowmod=719;e.acutetonecmb=83\
+3;e.acyrillic=1072;e.adblgrave=513;e.addakgurmukhi=2673;e.adeva=2309;e.adieresis=228;e.adieresiscyrillic=1235;e.adieresismacron=479;e.adotbelow=7841;e.adotmacron=481;e.ae=230;e.aeacute=509;e.aekorean=12624;e.aemacron=483;e.afii00208=8213;e.afii08941=8356;e.afii10017=1040;e.afii10018=1041;e.afii10019=1042;e.afii10020=1043;e.afii10021=1044;e.afii10022=1045;e.afii10023=1025;e.afii10024=1046;e.afii10025=1047;e.afii10026=1048;e.afii10027=1049;e.afii10028=1050;e.afii10029=1051;e.afii10030=1052;e.afii1\
+0031=1053;e.afii10032=1054;e.afii10033=1055;e.afii10034=1056;e.afii10035=1057;e.afii10036=1058;e.afii10037=1059;e.afii10038=1060;e.afii10039=1061;e.afii10040=1062;e.afii10041=1063;e.afii10042=1064;e.afii10043=1065;e.afii10044=1066;e.afii10045=1067;e.afii10046=1068;e.afii10047=1069;e.afii10048=1070;e.afii10049=1071;e.afii10050=1168;e.afii10051=1026;e.afii10052=1027;e.afii10053=1028;e.afii10054=1029;e.afii10055=1030;e.afii10056=1031;e.afii10057=1032;e.afii10058=1033;e.afii10059=1034;e.afii10060=10\
+35;e.afii10061=1036;e.afii10062=1038;e.afii10063=63172;e.afii10064=63173;e.afii10065=1072;e.afii10066=1073;e.afii10067=1074;e.afii10068=1075;e.afii10069=1076;e.afii10070=1077;e.afii10071=1105;e.afii10072=1078;e.afii10073=1079;e.afii10074=1080;e.afii10075=1081;e.afii10076=1082;e.afii10077=1083;e.afii10078=1084;e.afii10079=1085;e.afii10080=1086;e.afii10081=1087;e.afii10082=1088;e.afii10083=1089;e.afii10084=1090;e.afii10085=1091;e.afii10086=1092;e.afii10087=1093;e.afii10088=1094;e.afii10089=1095;e.\
+afii10090=1096;e.afii10091=1097;e.afii10092=1098;e.afii10093=1099;e.afii10094=1100;e.afii10095=1101;e.afii10096=1102;e.afii10097=1103;e.afii10098=1169;e.afii10099=1106;e.afii10100=1107;e.afii10101=1108;e.afii10102=1109;e.afii10103=1110;e.afii10104=1111;e.afii10105=1112;e.afii10106=1113;e.afii10107=1114;e.afii10108=1115;e.afii10109=1116;e.afii10110=1118;e.afii10145=1039;e.afii10146=1122;e.afii10147=1138;e.afii10148=1140;e.afii10192=63174;e.afii10193=1119;e.afii10194=1123;e.afii10195=1139;e.afii10\
+196=1141;e.afii10831=63175;e.afii10832=63176;e.afii10846=1241;e.afii299=8206;e.afii300=8207;e.afii301=8205;e.afii57381=1642;e.afii57388=1548;e.afii57392=1632;e.afii57393=1633;e.afii57394=1634;e.afii57395=1635;e.afii57396=1636;e.afii57397=1637;e.afii57398=1638;e.afii57399=1639;e.afii57400=1640;e.afii57401=1641;e.afii57403=1563;e.afii57407=1567;e.afii57409=1569;e.afii57410=1570;e.afii57411=1571;e.afii57412=1572;e.afii57413=1573;e.afii57414=1574;e.afii57415=1575;e.afii57416=1576;e.afii57417=1577;e.\
+afii57418=1578;e.afii57419=1579;e.afii57420=1580;e.afii57421=1581;e.afii57422=1582;e.afii57423=1583;e.afii57424=1584;e.afii57425=1585;e.afii57426=1586;e.afii57427=1587;e.afii57428=1588;e.afii57429=1589;e.afii57430=1590;e.afii57431=1591;e.afii57432=1592;e.afii57433=1593;e.afii57434=1594;e.afii57440=1600;e.afii57441=1601;e.afii57442=1602;e.afii57443=1603;e.afii57444=1604;e.afii57445=1605;e.afii57446=1606;e.afii57448=1608;e.afii57449=1609;e.afii57450=1610;e.afii57451=1611;e.afii57452=1612;e.afii574\
+53=1613;e.afii57454=1614;e.afii57455=1615;e.afii57456=1616;e.afii57457=1617;e.afii57458=1618;e.afii57470=1607;e.afii57505=1700;e.afii57506=1662;e.afii57507=1670;e.afii57508=1688;e.afii57509=1711;e.afii57511=1657;e.afii57512=1672;e.afii57513=1681;e.afii57514=1722;e.afii57519=1746;e.afii57534=1749;e.afii57636=8362;e.afii57645=1470;e.afii57658=1475;e.afii57664=1488;e.afii57665=1489;e.afii57666=1490;e.afii57667=1491;e.afii57668=1492;e.afii57669=1493;e.afii57670=1494;e.afii57671=1495;e.afii57672=1496\
+;e.afii57673=1497;e.afii57674=1498;e.afii57675=1499;e.afii57676=1500;e.afii57677=1501;e.afii57678=1502;e.afii57679=1503;e.afii57680=1504;e.afii57681=1505;e.afii57682=1506;e.afii57683=1507;e.afii57684=1508;e.afii57685=1509;e.afii57686=1510;e.afii57687=1511;e.afii57688=1512;e.afii57689=1513;e.afii57690=1514;e.afii57694=64298;e.afii57695=64299;e.afii57700=64331;e.afii57705=64287;e.afii57716=1520;e.afii57717=1521;e.afii57718=1522;e.afii57723=64309;e.afii57793=1460;e.afii57794=1461;e.afii57795=1462;e\
+.afii57796=1467;e.afii57797=1464;e.afii57798=1463;e.afii57799=1456;e.afii57800=1458;e.afii57801=1457;e.afii57802=1459;e.afii57803=1474;e.afii57804=1473;e.afii57806=1465;e.afii57807=1468;e.afii57839=1469;e.afii57841=1471;e.afii57842=1472;e.afii57929=700;e.afii61248=8453;e.afii61289=8467;e.afii61352=8470;e.afii61573=8236;e.afii61574=8237;e.afii61575=8238;e.afii61664=8204;e.afii63167=1645;e.afii64937=701;e.agrave=224;e.agujarati=2693;e.agurmukhi=2565;e.ahiragana=12354;e.ahookabove=7843;e.aibengali=\
+2448;e.aibopomofo=12574;e.aideva=2320;e.aiecyrillic=1237;e.aigujarati=2704;e.aigurmukhi=2576;e.aimatragurmukhi=2632;e.ainarabic=1593;e.ainfinalarabic=65226;e.aininitialarabic=65227;e.ainmedialarabic=65228;e.ainvertedbreve=515;e.aivowelsignbengali=2504;e.aivowelsigndeva=2376;e.aivowelsigngujarati=2760;e.akatakana=12450;e.akatakanahalfwidth=65393;e.akorean=12623;e.alef=1488;e.alefarabic=1575;e.alefdageshhebrew=64304;e.aleffinalarabic=65166;e.alefhamzaabovearabic=1571;e.alefhamzaabovefinalarabic=65\
+156;e.alefhamzabelowarabic=1573;e.alefhamzabelowfinalarabic=65160;e.alefhebrew=1488;e.aleflamedhebrew=64335;e.alefmaddaabovearabic=1570;e.alefmaddaabovefinalarabic=65154;e.alefmaksuraarabic=1609;e.alefmaksurafinalarabic=65264;e.alefmaksurainitialarabic=65267;e.alefmaksuramedialarabic=65268;e.alefpatahhebrew=64302;e.alefqamatshebrew=64303;e.aleph=8501;e.allequal=8780;e.alpha=945;e.alphatonos=940;e.amacron=257;e.amonospace=65345;e.ampersand=38;e.ampersandmonospace=65286;e.ampersandsmall=63270;e.am\
+square=13250;e.anbopomofo=12578;e.angbopomofo=12580;e.angbracketleft=12296;e.angbracketright=12297;e.angkhankhuthai=3674;e.angle=8736;e.anglebracketleft=12296;e.anglebracketleftvertical=65087;e.anglebracketright=12297;e.anglebracketrightvertical=65088;e.angleleft=9001;e.angleright=9002;e.angstrom=8491;e.anoteleia=903;e.anudattadeva=2386;e.anusvarabengali=2434;e.anusvaradeva=2306;e.anusvaragujarati=2690;e.aogonek=261;e.apaatosquare=13056;e.aparen=9372;e.apostrophearmenian=1370;e.apostrophemod=700\
+;e.apple=63743;e.approaches=8784;e.approxequal=8776;e.approxequalorimage=8786;e.approximatelyequal=8773;e.araeaekorean=12686;e.araeakorean=12685;e.arc=8978;e.arighthalfring=7834;e.aring=229;e.aringacute=507;e.aringbelow=7681;e.arrowboth=8596;e.arrowdashdown=8675;e.arrowdashleft=8672;e.arrowdashright=8674;e.arrowdashup=8673;e.arrowdblboth=8660;e.arrowdbldown=8659;e.arrowdblleft=8656;e.arrowdblright=8658;e.arrowdblup=8657;e.arrowdown=8595;e.arrowdownleft=8601;e.arrowdownright=8600;e.arrowdownwhite\
+=8681;e.arrowheaddownmod=709;e.arrowheadleftmod=706;e.arrowheadrightmod=707;e.arrowheadupmod=708;e.arrowhorizex=63719;e.arrowleft=8592;e.arrowleftdbl=8656;e.arrowleftdblstroke=8653;e.arrowleftoverright=8646;e.arrowleftwhite=8678;e.arrowright=8594;e.arrowrightdblstroke=8655;e.arrowrightheavy=10142;e.arrowrightoverleft=8644;e.arrowrightwhite=8680;e.arrowtableft=8676;e.arrowtabright=8677;e.arrowup=8593;e.arrowupdn=8597;e.arrowupdnbse=8616;e.arrowupdownbase=8616;e.arrowupleft=8598;e.arrowupleftofdow\
+n=8645;e.arrowupright=8599;e.arrowupwhite=8679;e.arrowvertex=63718;e.asciicircum=94;e.asciicircummonospace=65342;e.asciitilde=126;e.asciitildemonospace=65374;e.ascript=593;e.ascriptturned=594;e.asmallhiragana=12353;e.asmallkatakana=12449;e.asmallkatakanahalfwidth=65383;e.asterisk=42;e.asteriskaltonearabic=1645;e.asteriskarabic=1645;e.asteriskmath=8727;e.asteriskmonospace=65290;e.asterisksmall=65121;e.asterism=8258;e.asuperior=63209;e.asymptoticallyequal=8771;e.at=64;e.atilde=227;e.atmonospace=65\
+312;e.atsmall=65131;e.aturned=592;e.aubengali=2452;e.aubopomofo=12576;e.audeva=2324;e.augujarati=2708;e.augurmukhi=2580;e.aulengthmarkbengali=2519;e.aumatragurmukhi=2636;e.auvowelsignbengali=2508;e.auvowelsigndeva=2380;e.auvowelsigngujarati=2764;e.avagrahadeva=2365;e.aybarmenian=1377;e.ayin=1506;e.ayinaltonehebrew=64288;e.ayinhebrew=1506;e.b=98;e.babengali=2476;e.backslash=92;e.backslashmonospace=65340;e.badeva=2348;e.bagujarati=2732;e.bagurmukhi=2604;e.bahiragana=12400;e.bahtthai=3647;e.bakatak\
+ana=12496;e.bar=124;e.barmonospace=65372;e.bbopomofo=12549;e.bcircle=9425;e.bdotaccent=7683;e.bdotbelow=7685;e.beamedsixteenthnotes=9836;e.because=8757;e.becyrillic=1073;e.beharabic=1576;e.behfinalarabic=65168;e.behinitialarabic=65169;e.behiragana=12409;e.behmedialarabic=65170;e.behmeeminitialarabic=64671;e.behmeemisolatedarabic=64520;e.behnoonfinalarabic=64621;e.bekatakana=12505;e.benarmenian=1378;e.bet=1489;e.beta=946;e.betasymbolgreek=976;e.betdagesh=64305;e.betdageshhebrew=64305;e.bethebrew=\
+1489;e.betrafehebrew=64332;e.bhabengali=2477;e.bhadeva=2349;e.bhagujarati=2733;e.bhagurmukhi=2605;e.bhook=595;e.bihiragana=12403;e.bikatakana=12499;e.bilabialclick=664;e.bindigurmukhi=2562;e.birusquare=13105;e.blackcircle=9679;e.blackdiamond=9670;e.blackdownpointingtriangle=9660;e.blackleftpointingpointer=9668;e.blackleftpointingtriangle=9664;e.blacklenticularbracketleft=12304;e.blacklenticularbracketleftvertical=65083;e.blacklenticularbracketright=12305;e.blacklenticularbracketrightvertical=650\
+84;e.blacklowerlefttriangle=9699;e.blacklowerrighttriangle=9698;e.blackrectangle=9644;e.blackrightpointingpointer=9658;e.blackrightpointingtriangle=9654;e.blacksmallsquare=9642;e.blacksmilingface=9787;e.blacksquare=9632;e.blackstar=9733;e.blackupperlefttriangle=9700;e.blackupperrighttriangle=9701;e.blackuppointingsmalltriangle=9652;e.blackuppointingtriangle=9650;e.blank=9251;e.blinebelow=7687;e.block=9608;e.bmonospace=65346;e.bobaimaithai=3610;e.bohiragana=12412;e.bokatakana=12508;e.bparen=9373;\
+e.bqsquare=13251;e.braceex=63732;e.braceleft=123;e.braceleftbt=63731;e.braceleftmid=63730;e.braceleftmonospace=65371;e.braceleftsmall=65115;e.bracelefttp=63729;e.braceleftvertical=65079;e.braceright=125;e.bracerightbt=63742;e.bracerightmid=63741;e.bracerightmonospace=65373;e.bracerightsmall=65116;e.bracerighttp=63740;e.bracerightvertical=65080;e.bracketleft=91;e.bracketleftbt=63728;e.bracketleftex=63727;e.bracketleftmonospace=65339;e.bracketlefttp=63726;e.bracketright=93;e.bracketrightbt=63739;e\
+.bracketrightex=63738;e.bracketrightmonospace=65341;e.bracketrighttp=63737;e.breve=728;e.brevebelowcmb=814;e.brevecmb=774;e.breveinvertedbelowcmb=815;e.breveinvertedcmb=785;e.breveinverteddoublecmb=865;e.bridgebelowcmb=810;e.bridgeinvertedbelowcmb=826;e.brokenbar=166;e.bstroke=384;e.bsuperior=63210;e.btopbar=387;e.buhiragana=12406;e.bukatakana=12502;e.bullet=8226;e.bulletinverse=9688;e.bulletoperator=8729;e.bullseye=9678;e.c=99;e.caarmenian=1390;e.cabengali=2458;e.cacute=263;e.cadeva=2330;e.cagu\
+jarati=2714;e.cagurmukhi=2586;e.calsquare=13192;e.candrabindubengali=2433;e.candrabinducmb=784;e.candrabindudeva=2305;e.candrabindugujarati=2689;e.capslock=8682;e.careof=8453;e.caron=711;e.caronbelowcmb=812;e.caroncmb=780;e.carriagereturn=8629;e.cbopomofo=12568;e.ccaron=269;e.ccedilla=231;e.ccedillaacute=7689;e.ccircle=9426;e.ccircumflex=265;e.ccurl=597;e.cdot=267;e.cdotaccent=267;e.cdsquare=13253;e.cedilla=184;e.cedillacmb=807;e.cent=162;e.centigrade=8451;e.centinferior=63199;e.centmonospace=65\
+504;e.centoldstyle=63394;e.centsuperior=63200;e.chaarmenian=1401;e.chabengali=2459;e.chadeva=2331;e.chagujarati=2715;e.chagurmukhi=2587;e.chbopomofo=12564;e.cheabkhasiancyrillic=1213;e.checkmark=10003;e.checyrillic=1095;e.chedescenderabkhasiancyrillic=1215;e.chedescendercyrillic=1207;e.chedieresiscyrillic=1269;e.cheharmenian=1395;e.chekhakassiancyrillic=1228;e.cheverticalstrokecyrillic=1209;e.chi=967;e.chieuchacirclekorean=12919;e.chieuchaparenkorean=12823;e.chieuchcirclekorean=12905;e.chieuchko\
+rean=12618;e.chieuchparenkorean=12809;e.chochangthai=3594;e.chochanthai=3592;e.chochingthai=3593;e.chochoethai=3596;e.chook=392;e.cieucacirclekorean=12918;e.cieucaparenkorean=12822;e.cieuccirclekorean=12904;e.cieuckorean=12616;e.cieucparenkorean=12808;e.cieucuparenkorean=12828;e.circle=9675;e.circlecopyrt=169;e.circlemultiply=8855;e.circleot=8857;e.circleplus=8853;e.circlepostalmark=12342;e.circlewithlefthalfblack=9680;e.circlewithrighthalfblack=9681;e.circumflex=710;e.circumflexbelowcmb=813;e.c\
+ircumflexcmb=770;e.clear=8999;e.clickalveolar=450;e.clickdental=448;e.clicklateral=449;e.clickretroflex=451;e.club=9827;e.clubsuitblack=9827;e.clubsuitwhite=9831;e.cmcubedsquare=13220;e.cmonospace=65347;e.cmsquaredsquare=13216;e.coarmenian=1409;e.colon=58;e.colonmonetary=8353;e.colonmonospace=65306;e.colonsign=8353;e.colonsmall=65109;e.colontriangularhalfmod=721;e.colontriangularmod=720;e.comma=44;e.commaabovecmb=787;e.commaaboverightcmb=789;e.commaaccent=63171;e.commaarabic=1548;e.commaarmenian\
+=1373;e.commainferior=63201;e.commamonospace=65292;e.commareversedabovecmb=788;e.commareversedmod=701;e.commasmall=65104;e.commasuperior=63202;e.commaturnedabovecmb=786;e.commaturnedmod=699;e.compass=9788;e.congruent=8773;e.contourintegral=8750;e.control=8963;e.controlACK=6;e.controlBEL=7;e.controlBS=8;e.controlCAN=24;e.controlCR=13;e.controlDC1=17;e.controlDC2=18;e.controlDC3=19;e.controlDC4=20;e.controlDEL=127;e.controlDLE=16;e.controlEM=25;e.controlENQ=5;e.controlEOT=4;e.controlESC=27;e.contr\
+olETB=23;e.controlETX=3;e.controlFF=12;e.controlFS=28;e.controlGS=29;e.controlHT=9;e.controlLF=10;e.controlNAK=21;e.controlNULL=0;e.controlRS=30;e.controlSI=15;e.controlSO=14;e.controlSOT=2;e.controlSTX=1;e.controlSUB=26;e.controlSYN=22;e.controlUS=31;e.controlVT=11;e.copyright=169;e.copyrightsans=63721;e.copyrightserif=63193;e.cornerbracketleft=12300;e.cornerbracketlefthalfwidth=65378;e.cornerbracketleftvertical=65089;e.cornerbracketright=12301;e.cornerbracketrighthalfwidth=65379;e.cornerbracke\
+trightvertical=65090;e.corporationsquare=13183;e.cosquare=13255;e.coverkgsquare=13254;e.cparen=9374;e.cruzeiro=8354;e.cstretched=663;e.curlyand=8911;e.curlyor=8910;e.currency=164;e.cyrBreve=63185;e.cyrFlex=63186;e.cyrbreve=63188;e.cyrflex=63189;e.d=100;e.daarmenian=1380;e.dabengali=2470;e.dadarabic=1590;e.dadeva=2342;e.dadfinalarabic=65214;e.dadinitialarabic=65215;e.dadmedialarabic=65216;e.dagesh=1468;e.dageshhebrew=1468;e.dagger=8224;e.daggerdbl=8225;e.dagujarati=2726;e.dagurmukhi=2598;e.dahira\
+gana=12384;e.dakatakana=12480;e.dalarabic=1583;e.dalet=1491;e.daletdagesh=64307;e.daletdageshhebrew=64307;e.dalethebrew=1491;e.dalfinalarabic=65194;e.dammaarabic=1615;e.dammalowarabic=1615;e.dammatanaltonearabic=1612;e.dammatanarabic=1612;e.danda=2404;e.dargahebrew=1447;e.dargalefthebrew=1447;e.dasiapneumatacyrilliccmb=1157;e.dblGrave=63187;e.dblanglebracketleft=12298;e.dblanglebracketleftvertical=65085;e.dblanglebracketright=12299;e.dblanglebracketrightvertical=65086;e.dblarchinvertedbelowcmb=8\
+11;e.dblarrowleft=8660;e.dblarrowright=8658;e.dbldanda=2405;e.dblgrave=63190;e.dblgravecmb=783;e.dblintegral=8748;e.dbllowline=8215;e.dbllowlinecmb=819;e.dbloverlinecmb=831;e.dblprimemod=698;e.dblverticalbar=8214;e.dblverticallineabovecmb=782;e.dbopomofo=12553;e.dbsquare=13256;e.dcaron=271;e.dcedilla=7697;e.dcircle=9427;e.dcircumflexbelow=7699;e.dcroat=273;e.ddabengali=2465;e.ddadeva=2337;e.ddagujarati=2721;e.ddagurmukhi=2593;e.ddalarabic=1672;e.ddalfinalarabic=64393;e.dddhadeva=2396;e.ddhabenga\
+li=2466;e.ddhadeva=2338;e.ddhagujarati=2722;e.ddhagurmukhi=2594;e.ddotaccent=7691;e.ddotbelow=7693;e.decimalseparatorarabic=1643;e.decimalseparatorpersian=1643;e.decyrillic=1076;e.degree=176;e.dehihebrew=1453;e.dehiragana=12391;e.deicoptic=1007;e.dekatakana=12487;e.deleteleft=9003;e.deleteright=8998;e.delta=948;e.deltaturned=397;e.denominatorminusonenumeratorbengali=2552;e.dezh=676;e.dhabengali=2471;e.dhadeva=2343;e.dhagujarati=2727;e.dhagurmukhi=2599;e.dhook=599;e.dialytikatonos=901;e.dialytika\
+tonoscmb=836;e.diamond=9830;e.diamondsuitwhite=9826;e.dieresis=168;e.dieresisacute=63191;e.dieresisbelowcmb=804;e.dieresiscmb=776;e.dieresisgrave=63192;e.dieresistonos=901;e.dihiragana=12386;e.dikatakana=12482;e.dittomark=12291;e.divide=247;e.divides=8739;e.divisionslash=8725;e.djecyrillic=1106;e.dkshade=9619;e.dlinebelow=7695;e.dlsquare=13207;e.dmacron=273;e.dmonospace=65348;e.dnblock=9604;e.dochadathai=3598;e.dodekthai=3604;e.dohiragana=12393;e.dokatakana=12489;e.dollar=36;e.dollarinferior=632\
+03;e.dollarmonospace=65284;e.dollaroldstyle=63268;e.dollarsmall=65129;e.dollarsuperior=63204;e.dong=8363;e.dorusquare=13094;e.dotaccent=729;e.dotaccentcmb=775;e.dotbelowcmb=803;e.dotbelowcomb=803;e.dotkatakana=12539;e.dotlessi=305;e.dotlessj=63166;e.dotlessjstrokehook=644;e.dotmath=8901;e.dottedcircle=9676;e.doubleyodpatah=64287;e.doubleyodpatahhebrew=64287;e.downtackbelowcmb=798;e.downtackmod=725;e.dparen=9375;e.dsuperior=63211;e.dtail=598;e.dtopbar=396;e.duhiragana=12389;e.dukatakana=12485;e.d\
+z=499;e.dzaltone=675;e.dzcaron=454;e.dzcurl=677;e.dzeabkhasiancyrillic=1249;e.dzecyrillic=1109;e.dzhecyrillic=1119;e.e=101;e.eacute=233;e.earth=9793;e.ebengali=2447;e.ebopomofo=12572;e.ebreve=277;e.ecandradeva=2317;e.ecandragujarati=2701;e.ecandravowelsigndeva=2373;e.ecandravowelsigngujarati=2757;e.ecaron=283;e.ecedillabreve=7709;e.echarmenian=1381;e.echyiwnarmenian=1415;e.ecircle=9428;e.ecircumflex=234;e.ecircumflexacute=7871;e.ecircumflexbelow=7705;e.ecircumflexdotbelow=7879;e.ecircumflexgrave\
+=7873;e.ecircumflexhookabove=7875;e.ecircumflextilde=7877;e.ecyrillic=1108;e.edblgrave=517;e.edeva=2319;e.edieresis=235;e.edot=279;e.edotaccent=279;e.edotbelow=7865;e.eegurmukhi=2575;e.eematragurmukhi=2631;e.efcyrillic=1092;e.egrave=232;e.egujarati=2703;e.eharmenian=1383;e.ehbopomofo=12573;e.ehiragana=12360;e.ehookabove=7867;e.eibopomofo=12575;e.eight=56;e.eightarabic=1640;e.eightbengali=2542;e.eightcircle=9319;e.eightcircleinversesansserif=10129;e.eightdeva=2414;e.eighteencircle=9329;e.eighteen\
+paren=9349;e.eighteenperiod=9369;e.eightgujarati=2798;e.eightgurmukhi=2670;e.eighthackarabic=1640;e.eighthangzhou=12328;e.eighthnotebeamed=9835;e.eightideographicparen=12839;e.eightinferior=8328;e.eightmonospace=65304;e.eightoldstyle=63288;e.eightparen=9339;e.eightperiod=9359;e.eightpersian=1784;e.eightroman=8567;e.eightsuperior=8312;e.eightthai=3672;e.einvertedbreve=519;e.eiotifiedcyrillic=1125;e.ekatakana=12456;e.ekatakanahalfwidth=65396;e.ekonkargurmukhi=2676;e.ekorean=12628;e.elcyrillic=1083\
+;e.element=8712;e.elevencircle=9322;e.elevenparen=9342;e.elevenperiod=9362;e.elevenroman=8570;e.ellipsis=8230;e.ellipsisvertical=8942;e.emacron=275;e.emacronacute=7703;e.emacrongrave=7701;e.emcyrillic=1084;e.emdash=8212;e.emdashvertical=65073;e.emonospace=65349;e.emphasismarkarmenian=1371;e.emptyset=8709;e.enbopomofo=12579;e.encyrillic=1085;e.endash=8211;e.endashvertical=65074;e.endescendercyrillic=1187;e.eng=331;e.engbopomofo=12581;e.enghecyrillic=1189;e.enhookcyrillic=1224;e.enspace=8194;e.eog\
+onek=281;e.eokorean=12627;e.eopen=603;e.eopenclosed=666;e.eopenreversed=604;e.eopenreversedclosed=606;e.eopenreversedhook=605;e.eparen=9376;e.epsilon=949;e.epsilontonos=941;e.equal=61;e.equalmonospace=65309;e.equalsmall=65126;e.equalsuperior=8316;e.equivalence=8801;e.erbopomofo=12582;e.ercyrillic=1088;e.ereversed=600;e.ereversedcyrillic=1101;e.escyrillic=1089;e.esdescendercyrillic=1195;e.esh=643;e.eshcurl=646;e.eshortdeva=2318;e.eshortvowelsigndeva=2374;e.eshreversedloop=426;e.eshsquatreversed=6\
+45;e.esmallhiragana=12359;e.esmallkatakana=12455;e.esmallkatakanahalfwidth=65386;e.estimated=8494;e.esuperior=63212;e.eta=951;e.etarmenian=1384;e.etatonos=942;e.eth=240;e.etilde=7869;e.etildebelow=7707;e.etnahtafoukhhebrew=1425;e.etnahtafoukhlefthebrew=1425;e.etnahtahebrew=1425;e.etnahtalefthebrew=1425;e.eturned=477;e.eukorean=12641;e.euro=8364;e.evowelsignbengali=2503;e.evowelsigndeva=2375;e.evowelsigngujarati=2759;e.exclam=33;e.exclamarmenian=1372;e.exclamdbl=8252;e.exclamdown=161;e.exclamdown\
+small=63393;e.exclammonospace=65281;e.exclamsmall=63265;e.existential=8707;e.ezh=658;e.ezhcaron=495;e.ezhcurl=659;e.ezhreversed=441;e.ezhtail=442;e.f=102;e.fadeva=2398;e.fagurmukhi=2654;e.fahrenheit=8457;e.fathaarabic=1614;e.fathalowarabic=1614;e.fathatanarabic=1611;e.fbopomofo=12552;e.fcircle=9429;e.fdotaccent=7711;e.feharabic=1601;e.feharmenian=1414;e.fehfinalarabic=65234;e.fehinitialarabic=65235;e.fehmedialarabic=65236;e.feicoptic=997;e.female=9792;e.ff=64256;e.f_f=64256;e.ffi=64259;e.f_f_i=6\
+4259;e.ffl=64260;e.f_f_l=64260;e.fi=64257;e.f_i=64257;e.fifteencircle=9326;e.fifteenparen=9346;e.fifteenperiod=9366;e.figuredash=8210;e.filledbox=9632;e.filledrect=9644;e.finalkaf=1498;e.finalkafdagesh=64314;e.finalkafdageshhebrew=64314;e.finalkafhebrew=1498;e.finalmem=1501;e.finalmemhebrew=1501;e.finalnun=1503;e.finalnunhebrew=1503;e.finalpe=1507;e.finalpehebrew=1507;e.finaltsadi=1509;e.finaltsadihebrew=1509;e.firsttonechinese=713;e.fisheye=9673;e.fitacyrillic=1139;e.five=53;e.fivearabic=1637;e\
+.fivebengali=2539;e.fivecircle=9316;e.fivecircleinversesansserif=10126;e.fivedeva=2411;e.fiveeighths=8541;e.fivegujarati=2795;e.fivegurmukhi=2667;e.fivehackarabic=1637;e.fivehangzhou=12325;e.fiveideographicparen=12836;e.fiveinferior=8325;e.fivemonospace=65301;e.fiveoldstyle=63285;e.fiveparen=9336;e.fiveperiod=9356;e.fivepersian=1781;e.fiveroman=8564;e.fivesuperior=8309;e.fivethai=3669;e.fl=64258;e.f_l=64258;e.florin=402;e.fmonospace=65350;e.fmsquare=13209;e.fofanthai=3615;e.fofathai=3613;e.fongm\
+anthai=3663;e.forall=8704;e.four=52;e.fourarabic=1636;e.fourbengali=2538;e.fourcircle=9315;e.fourcircleinversesansserif=10125;e.fourdeva=2410;e.fourgujarati=2794;e.fourgurmukhi=2666;e.fourhackarabic=1636;e.fourhangzhou=12324;e.fourideographicparen=12835;e.fourinferior=8324;e.fourmonospace=65300;e.fournumeratorbengali=2551;e.fouroldstyle=63284;e.fourparen=9335;e.fourperiod=9355;e.fourpersian=1780;e.fourroman=8563;e.foursuperior=8308;e.fourteencircle=9325;e.fourteenparen=9345;e.fourteenperiod=9365\
+;e.fourthai=3668;e.fourthtonechinese=715;e.fparen=9377;e.fraction=8260;e.franc=8355;e.g=103;e.gabengali=2455;e.gacute=501;e.gadeva=2327;e.gafarabic=1711;e.gaffinalarabic=64403;e.gafinitialarabic=64404;e.gafmedialarabic=64405;e.gagujarati=2711;e.gagurmukhi=2583;e.gahiragana=12364;e.gakatakana=12460;e.gamma=947;e.gammalatinsmall=611;e.gammasuperior=736;e.gangiacoptic=1003;e.gbopomofo=12557;e.gbreve=287;e.gcaron=487;e.gcedilla=291;e.gcircle=9430;e.gcircumflex=285;e.gcommaaccent=291;e.gdot=289;e.gdo\
+taccent=289;e.gecyrillic=1075;e.gehiragana=12370;e.gekatakana=12466;e.geometricallyequal=8785;e.gereshaccenthebrew=1436;e.gereshhebrew=1523;e.gereshmuqdamhebrew=1437;e.germandbls=223;e.gershayimaccenthebrew=1438;e.gershayimhebrew=1524;e.getamark=12307;e.ghabengali=2456;e.ghadarmenian=1394;e.ghadeva=2328;e.ghagujarati=2712;e.ghagurmukhi=2584;e.ghainarabic=1594;e.ghainfinalarabic=65230;e.ghaininitialarabic=65231;e.ghainmedialarabic=65232;e.ghemiddlehookcyrillic=1173;e.ghestrokecyrillic=1171;e.gheu\
+pturncyrillic=1169;e.ghhadeva=2394;e.ghhagurmukhi=2650;e.ghook=608;e.ghzsquare=13203;e.gihiragana=12366;e.gikatakana=12462;e.gimarmenian=1379;e.gimel=1490;e.gimeldagesh=64306;e.gimeldageshhebrew=64306;e.gimelhebrew=1490;e.gjecyrillic=1107;e.glottalinvertedstroke=446;e.glottalstop=660;e.glottalstopinverted=662;e.glottalstopmod=704;e.glottalstopreversed=661;e.glottalstopreversedmod=705;e.glottalstopreversedsuperior=740;e.glottalstopstroke=673;e.glottalstopstrokereversed=674;e.gmacron=7713;e.gmonos\
+pace=65351;e.gohiragana=12372;e.gokatakana=12468;e.gparen=9378;e.gpasquare=13228;e.gradient=8711;e.grave=96;e.gravebelowcmb=790;e.gravecmb=768;e.gravecomb=768;e.gravedeva=2387;e.gravelowmod=718;e.gravemonospace=65344;e.gravetonecmb=832;e.greater=62;e.greaterequal=8805;e.greaterequalorless=8923;e.greatermonospace=65310;e.greaterorequivalent=8819;e.greaterorless=8823;e.greateroverequal=8807;e.greatersmall=65125;e.gscript=609;e.gstroke=485;e.guhiragana=12368;e.guillemotleft=171;e.guillemotright=187\
+;e.guilsinglleft=8249;e.guilsinglright=8250;e.gukatakana=12464;e.guramusquare=13080;e.gysquare=13257;e.h=104;e.haabkhasiancyrillic=1193;e.haaltonearabic=1729;e.habengali=2489;e.hadescendercyrillic=1203;e.hadeva=2361;e.hagujarati=2745;e.hagurmukhi=2617;e.haharabic=1581;e.hahfinalarabic=65186;e.hahinitialarabic=65187;e.hahiragana=12399;e.hahmedialarabic=65188;e.haitusquare=13098;e.hakatakana=12495;e.hakatakanahalfwidth=65418;e.halantgurmukhi=2637;e.hamzaarabic=1569;e.hamzalowarabic=1569;e.hangulfi\
+ller=12644;e.hardsigncyrillic=1098;e.harpoonleftbarbup=8636;e.harpoonrightbarbup=8640;e.hasquare=13258;e.hatafpatah=1458;e.hatafpatah16=1458;e.hatafpatah23=1458;e.hatafpatah2f=1458;e.hatafpatahhebrew=1458;e.hatafpatahnarrowhebrew=1458;e.hatafpatahquarterhebrew=1458;e.hatafpatahwidehebrew=1458;e.hatafqamats=1459;e.hatafqamats1b=1459;e.hatafqamats28=1459;e.hatafqamats34=1459;e.hatafqamatshebrew=1459;e.hatafqamatsnarrowhebrew=1459;e.hatafqamatsquarterhebrew=1459;e.hatafqamatswidehebrew=1459;e.hataf\
+segol=1457;e.hatafsegol17=1457;e.hatafsegol24=1457;e.hatafsegol30=1457;e.hatafsegolhebrew=1457;e.hatafsegolnarrowhebrew=1457;e.hatafsegolquarterhebrew=1457;e.hatafsegolwidehebrew=1457;e.hbar=295;e.hbopomofo=12559;e.hbrevebelow=7723;e.hcedilla=7721;e.hcircle=9431;e.hcircumflex=293;e.hdieresis=7719;e.hdotaccent=7715;e.hdotbelow=7717;e.he=1492;e.heart=9829;e.heartsuitblack=9829;e.heartsuitwhite=9825;e.hedagesh=64308;e.hedageshhebrew=64308;e.hehaltonearabic=1729;e.heharabic=1607;e.hehebrew=1492;e.he\
+hfinalaltonearabic=64423;e.hehfinalalttwoarabic=65258;e.hehfinalarabic=65258;e.hehhamzaabovefinalarabic=64421;e.hehhamzaaboveisolatedarabic=64420;e.hehinitialaltonearabic=64424;e.hehinitialarabic=65259;e.hehiragana=12408;e.hehmedialaltonearabic=64425;e.hehmedialarabic=65260;e.heiseierasquare=13179;e.hekatakana=12504;e.hekatakanahalfwidth=65421;e.hekutaarusquare=13110;e.henghook=615;e.herutusquare=13113;e.het=1495;e.hethebrew=1495;e.hhook=614;e.hhooksuperior=689;e.hieuhacirclekorean=12923;e.hieuh\
+aparenkorean=12827;e.hieuhcirclekorean=12909;e.hieuhkorean=12622;e.hieuhparenkorean=12813;e.hihiragana=12402;e.hikatakana=12498;e.hikatakanahalfwidth=65419;e.hiriq=1460;e.hiriq14=1460;e.hiriq21=1460;e.hiriq2d=1460;e.hiriqhebrew=1460;e.hiriqnarrowhebrew=1460;e.hiriqquarterhebrew=1460;e.hiriqwidehebrew=1460;e.hlinebelow=7830;e.hmonospace=65352;e.hoarmenian=1392;e.hohipthai=3627;e.hohiragana=12411;e.hokatakana=12507;e.hokatakanahalfwidth=65422;e.holam=1465;e.holam19=1465;e.holam26=1465;e.holam32=14\
+65;e.holamhebrew=1465;e.holamnarrowhebrew=1465;e.holamquarterhebrew=1465;e.holamwidehebrew=1465;e.honokhukthai=3630;e.hookabovecomb=777;e.hookcmb=777;e.hookpalatalizedbelowcmb=801;e.hookretroflexbelowcmb=802;e.hoonsquare=13122;e.horicoptic=1001;e.horizontalbar=8213;e.horncmb=795;e.hotsprings=9832;e.house=8962;e.hparen=9379;e.hsuperior=688;e.hturned=613;e.huhiragana=12405;e.huiitosquare=13107;e.hukatakana=12501;e.hukatakanahalfwidth=65420;e.hungarumlaut=733;e.hungarumlautcmb=779;e.hv=405;e.hyphen\
+=45;e.hypheninferior=63205;e.hyphenmonospace=65293;e.hyphensmall=65123;e.hyphensuperior=63206;e.hyphentwo=8208;e.i=105;e.iacute=237;e.iacyrillic=1103;e.ibengali=2439;e.ibopomofo=12583;e.ibreve=301;e.icaron=464;e.icircle=9432;e.icircumflex=238;e.icyrillic=1110;e.idblgrave=521;e.ideographearthcircle=12943;e.ideographfirecircle=12939;e.ideographicallianceparen=12863;e.ideographiccallparen=12858;e.ideographiccentrecircle=12965;e.ideographicclose=12294;e.ideographiccomma=12289;e.ideographiccommaleft=\
+65380;e.ideographiccongratulationparen=12855;e.ideographiccorrectcircle=12963;e.ideographicearthparen=12847;e.ideographicenterpriseparen=12861;e.ideographicexcellentcircle=12957;e.ideographicfestivalparen=12864;e.ideographicfinancialcircle=12950;e.ideographicfinancialparen=12854;e.ideographicfireparen=12843;e.ideographichaveparen=12850;e.ideographichighcircle=12964;e.ideographiciterationmark=12293;e.ideographiclaborcircle=12952;e.ideographiclaborparen=12856;e.ideographicleftcircle=12967;e.ideogr\
+aphiclowcircle=12966;e.ideographicmedicinecircle=12969;e.ideographicmetalparen=12846;e.ideographicmoonparen=12842;e.ideographicnameparen=12852;e.ideographicperiod=12290;e.ideographicprintcircle=12958;e.ideographicreachparen=12867;e.ideographicrepresentparen=12857;e.ideographicresourceparen=12862;e.ideographicrightcircle=12968;e.ideographicsecretcircle=12953;e.ideographicselfparen=12866;e.ideographicsocietyparen=12851;e.ideographicspace=12288;e.ideographicspecialparen=12853;e.ideographicstockpare\
+n=12849;e.ideographicstudyparen=12859;e.ideographicsunparen=12848;e.ideographicsuperviseparen=12860;e.ideographicwaterparen=12844;e.ideographicwoodparen=12845;e.ideographiczero=12295;e.ideographmetalcircle=12942;e.ideographmooncircle=12938;e.ideographnamecircle=12948;e.ideographsuncircle=12944;e.ideographwatercircle=12940;e.ideographwoodcircle=12941;e.ideva=2311;e.idieresis=239;e.idieresisacute=7727;e.idieresiscyrillic=1253;e.idotbelow=7883;e.iebrevecyrillic=1239;e.iecyrillic=1077;e.ieungacircle\
+korean=12917;e.ieungaparenkorean=12821;e.ieungcirclekorean=12903;e.ieungkorean=12615;e.ieungparenkorean=12807;e.igrave=236;e.igujarati=2695;e.igurmukhi=2567;e.ihiragana=12356;e.ihookabove=7881;e.iibengali=2440;e.iicyrillic=1080;e.iideva=2312;e.iigujarati=2696;e.iigurmukhi=2568;e.iimatragurmukhi=2624;e.iinvertedbreve=523;e.iishortcyrillic=1081;e.iivowelsignbengali=2496;e.iivowelsigndeva=2368;e.iivowelsigngujarati=2752;e.ij=307;e.ikatakana=12452;e.ikatakanahalfwidth=65394;e.ikorean=12643;e.ilde=73\
+2;e.iluyhebrew=1452;e.imacron=299;e.imacroncyrillic=1251;e.imageorapproximatelyequal=8787;e.imatragurmukhi=2623;e.imonospace=65353;e.increment=8710;e.infinity=8734;e.iniarmenian=1387;e.integral=8747;e.integralbottom=8993;e.integralbt=8993;e.integralex=63733;e.integraltop=8992;e.integraltp=8992;e.intersection=8745;e.intisquare=13061;e.invbullet=9688;e.invcircle=9689;e.invsmileface=9787;e.iocyrillic=1105;e.iogonek=303;e.iota=953;e.iotadieresis=970;e.iotadieresistonos=912;e.iotalatin=617;e.iotatono\
+s=943;e.iparen=9380;e.irigurmukhi=2674;e.ismallhiragana=12355;e.ismallkatakana=12451;e.ismallkatakanahalfwidth=65384;e.issharbengali=2554;e.istroke=616;e.isuperior=63213;e.iterationhiragana=12445;e.iterationkatakana=12541;e.itilde=297;e.itildebelow=7725;e.iubopomofo=12585;e.iucyrillic=1102;e.ivowelsignbengali=2495;e.ivowelsigndeva=2367;e.ivowelsigngujarati=2751;e.izhitsacyrillic=1141;e.izhitsadblgravecyrillic=1143;e.j=106;e.jaarmenian=1393;e.jabengali=2460;e.jadeva=2332;e.jagujarati=2716;e.jagur\
+mukhi=2588;e.jbopomofo=12560;e.jcaron=496;e.jcircle=9433;e.jcircumflex=309;e.jcrossedtail=669;e.jdotlessstroke=607;e.jecyrillic=1112;e.jeemarabic=1580;e.jeemfinalarabic=65182;e.jeeminitialarabic=65183;e.jeemmedialarabic=65184;e.jeharabic=1688;e.jehfinalarabic=64395;e.jhabengali=2461;e.jhadeva=2333;e.jhagujarati=2717;e.jhagurmukhi=2589;e.jheharmenian=1403;e.jis=12292;e.jmonospace=65354;e.jparen=9381;e.jsuperior=690;e.k=107;e.kabashkircyrillic=1185;e.kabengali=2453;e.kacute=7729;e.kacyrillic=1082;\
+e.kadescendercyrillic=1179;e.kadeva=2325;e.kaf=1499;e.kafarabic=1603;e.kafdagesh=64315;e.kafdageshhebrew=64315;e.kaffinalarabic=65242;e.kafhebrew=1499;e.kafinitialarabic=65243;e.kafmedialarabic=65244;e.kafrafehebrew=64333;e.kagujarati=2709;e.kagurmukhi=2581;e.kahiragana=12363;e.kahookcyrillic=1220;e.kakatakana=12459;e.kakatakanahalfwidth=65398;e.kappa=954;e.kappasymbolgreek=1008;e.kapyeounmieumkorean=12657;e.kapyeounphieuphkorean=12676;e.kapyeounpieupkorean=12664;e.kapyeounssangpieupkorean=12665\
+;e.karoriisquare=13069;e.kashidaautoarabic=1600;e.kashidaautonosidebearingarabic=1600;e.kasmallkatakana=12533;e.kasquare=13188;e.kasraarabic=1616;e.kasratanarabic=1613;e.kastrokecyrillic=1183;e.katahiraprolongmarkhalfwidth=65392;e.kaverticalstrokecyrillic=1181;e.kbopomofo=12558;e.kcalsquare=13193;e.kcaron=489;e.kcedilla=311;e.kcircle=9434;e.kcommaaccent=311;e.kdotbelow=7731;e.keharmenian=1412;e.kehiragana=12369;e.kekatakana=12465;e.kekatakanahalfwidth=65401;e.kenarmenian=1391;e.kesmallkatakana=1\
+2534;e.kgreenlandic=312;e.khabengali=2454;e.khacyrillic=1093;e.khadeva=2326;e.khagujarati=2710;e.khagurmukhi=2582;e.khaharabic=1582;e.khahfinalarabic=65190;e.khahinitialarabic=65191;e.khahmedialarabic=65192;e.kheicoptic=999;e.khhadeva=2393;e.khhagurmukhi=2649;e.khieukhacirclekorean=12920;e.khieukhaparenkorean=12824;e.khieukhcirclekorean=12906;e.khieukhkorean=12619;e.khieukhparenkorean=12810;e.khokhaithai=3586;e.khokhonthai=3589;e.khokhuatthai=3587;e.khokhwaithai=3588;e.khomutthai=3675;e.khook=40\
+9;e.khorakhangthai=3590;e.khzsquare=13201;e.kihiragana=12365;e.kikatakana=12461;e.kikatakanahalfwidth=65399;e.kiroguramusquare=13077;e.kiromeetorusquare=13078;e.kirosquare=13076;e.kiyeokacirclekorean=12910;e.kiyeokaparenkorean=12814;e.kiyeokcirclekorean=12896;e.kiyeokkorean=12593;e.kiyeokparenkorean=12800;e.kiyeoksioskorean=12595;e.kjecyrillic=1116;e.klinebelow=7733;e.klsquare=13208;e.kmcubedsquare=13222;e.kmonospace=65355;e.kmsquaredsquare=13218;e.kohiragana=12371;e.kohmsquare=13248;e.kokaithai\
+=3585;e.kokatakana=12467;e.kokatakanahalfwidth=65402;e.kooposquare=13086;e.koppacyrillic=1153;e.koreanstandardsymbol=12927;e.koroniscmb=835;e.kparen=9382;e.kpasquare=13226;e.ksicyrillic=1135;e.ktsquare=13263;e.kturned=670;e.kuhiragana=12367;e.kukatakana=12463;e.kukatakanahalfwidth=65400;e.kvsquare=13240;e.kwsquare=13246;e.l=108;e.labengali=2482;e.lacute=314;e.ladeva=2354;e.lagujarati=2738;e.lagurmukhi=2610;e.lakkhangyaothai=3653;e.lamaleffinalarabic=65276;e.lamalefhamzaabovefinalarabic=65272;e.l\
+amalefhamzaaboveisolatedarabic=65271;e.lamalefhamzabelowfinalarabic=65274;e.lamalefhamzabelowisolatedarabic=65273;e.lamalefisolatedarabic=65275;e.lamalefmaddaabovefinalarabic=65270;e.lamalefmaddaaboveisolatedarabic=65269;e.lamarabic=1604;e.lambda=955;e.lambdastroke=411;e.lamed=1500;e.lameddagesh=64316;e.lameddageshhebrew=64316;e.lamedhebrew=1500;e.lamfinalarabic=65246;e.lamhahinitialarabic=64714;e.laminitialarabic=65247;e.lamjeeminitialarabic=64713;e.lamkhahinitialarabic=64715;e.lamlamhehisolate\
+darabic=65010;e.lammedialarabic=65248;e.lammeemhahinitialarabic=64904;e.lammeeminitialarabic=64716;e.largecircle=9711;e.lbar=410;e.lbelt=620;e.lbopomofo=12556;e.lcaron=318;e.lcedilla=316;e.lcircle=9435;e.lcircumflexbelow=7741;e.lcommaaccent=316;e.ldot=320;e.ldotaccent=320;e.ldotbelow=7735;e.ldotbelowmacron=7737;e.leftangleabovecmb=794;e.lefttackbelowcmb=792;e.less=60;e.lessequal=8804;e.lessequalorgreater=8922;e.lessmonospace=65308;e.lessorequivalent=8818;e.lessorgreater=8822;e.lessoverequal=8806\
+;e.lesssmall=65124;e.lezh=622;e.lfblock=9612;e.lhookretroflex=621;e.lira=8356;e.liwnarmenian=1388;e.lj=457;e.ljecyrillic=1113;e.ll=63168;e.lladeva=2355;e.llagujarati=2739;e.llinebelow=7739;e.llladeva=2356;e.llvocalicbengali=2529;e.llvocalicdeva=2401;e.llvocalicvowelsignbengali=2531;e.llvocalicvowelsigndeva=2403;e.lmiddletilde=619;e.lmonospace=65356;e.lmsquare=13264;e.lochulathai=3628;e.logicaland=8743;e.logicalnot=172;e.logicalnotreversed=8976;e.logicalor=8744;e.lolingthai=3621;e.longs=383;e.low\
+linecenterline=65102;e.lowlinecmb=818;e.lowlinedashed=65101;e.lozenge=9674;e.lparen=9383;e.lslash=322;e.lsquare=8467;e.lsuperior=63214;e.ltshade=9617;e.luthai=3622;e.lvocalicbengali=2444;e.lvocalicdeva=2316;e.lvocalicvowelsignbengali=2530;e.lvocalicvowelsigndeva=2402;e.lxsquare=13267;e.m=109;e.mabengali=2478;e.macron=175;e.macronbelowcmb=817;e.macroncmb=772;e.macronlowmod=717;e.macronmonospace=65507;e.macute=7743;e.madeva=2350;e.magujarati=2734;e.magurmukhi=2606;e.mahapakhhebrew=1444;e.mahapakhl\
+efthebrew=1444;e.mahiragana=12414;e.maichattawalowleftthai=63637;e.maichattawalowrightthai=63636;e.maichattawathai=3659;e.maichattawaupperleftthai=63635;e.maieklowleftthai=63628;e.maieklowrightthai=63627;e.maiekthai=3656;e.maiekupperleftthai=63626;e.maihanakatleftthai=63620;e.maihanakatthai=3633;e.maitaikhuleftthai=63625;e.maitaikhuthai=3655;e.maitholowleftthai=63631;e.maitholowrightthai=63630;e.maithothai=3657;e.maithoupperleftthai=63629;e.maitrilowleftthai=63634;e.maitrilowrightthai=63633;e.ma\
+itrithai=3658;e.maitriupperleftthai=63632;e.maiyamokthai=3654;e.makatakana=12510;e.makatakanahalfwidth=65423;e.male=9794;e.mansyonsquare=13127;e.maqafhebrew=1470;e.mars=9794;e.masoracirclehebrew=1455;e.masquare=13187;e.mbopomofo=12551;e.mbsquare=13268;e.mcircle=9436;e.mcubedsquare=13221;e.mdotaccent=7745;e.mdotbelow=7747;e.meemarabic=1605;e.meemfinalarabic=65250;e.meeminitialarabic=65251;e.meemmedialarabic=65252;e.meemmeeminitialarabic=64721;e.meemmeemisolatedarabic=64584;e.meetorusquare=13133;e\
+.mehiragana=12417;e.meizierasquare=13182;e.mekatakana=12513;e.mekatakanahalfwidth=65426;e.mem=1502;e.memdagesh=64318;e.memdageshhebrew=64318;e.memhebrew=1502;e.menarmenian=1396;e.merkhahebrew=1445;e.merkhakefulahebrew=1446;e.merkhakefulalefthebrew=1446;e.merkhalefthebrew=1445;e.mhook=625;e.mhzsquare=13202;e.middledotkatakanahalfwidth=65381;e.middot=183;e.mieumacirclekorean=12914;e.mieumaparenkorean=12818;e.mieumcirclekorean=12900;e.mieumkorean=12609;e.mieumpansioskorean=12656;e.mieumparenkorean=\
+12804;e.mieumpieupkorean=12654;e.mieumsioskorean=12655;e.mihiragana=12415;e.mikatakana=12511;e.mikatakanahalfwidth=65424;e.minus=8722;e.minusbelowcmb=800;e.minuscircle=8854;e.minusmod=727;e.minusplus=8723;e.minute=8242;e.miribaarusquare=13130;e.mirisquare=13129;e.mlonglegturned=624;e.mlsquare=13206;e.mmcubedsquare=13219;e.mmonospace=65357;e.mmsquaredsquare=13215;e.mohiragana=12418;e.mohmsquare=13249;e.mokatakana=12514;e.mokatakanahalfwidth=65427;e.molsquare=13270;e.momathai=3617;e.moverssquare=1\
+3223;e.moverssquaredsquare=13224;e.mparen=9384;e.mpasquare=13227;e.mssquare=13235;e.msuperior=63215;e.mturned=623;e.mu=181;e.mu1=181;e.muasquare=13186;e.muchgreater=8811;e.muchless=8810;e.mufsquare=13196;e.mugreek=956;e.mugsquare=13197;e.muhiragana=12416;e.mukatakana=12512;e.mukatakanahalfwidth=65425;e.mulsquare=13205;e.multiply=215;e.mumsquare=13211;e.munahhebrew=1443;e.munahlefthebrew=1443;e.musicalnote=9834;e.musicalnotedbl=9835;e.musicflatsign=9837;e.musicsharpsign=9839;e.mussquare=13234;e.m\
+uvsquare=13238;e.muwsquare=13244;e.mvmegasquare=13241;e.mvsquare=13239;e.mwmegasquare=13247;e.mwsquare=13245;e.n=110;e.nabengali=2472;e.nabla=8711;e.nacute=324;e.nadeva=2344;e.nagujarati=2728;e.nagurmukhi=2600;e.nahiragana=12394;e.nakatakana=12490;e.nakatakanahalfwidth=65413;e.napostrophe=329;e.nasquare=13185;e.nbopomofo=12555;e.nbspace=160;e.ncaron=328;e.ncedilla=326;e.ncircle=9437;e.ncircumflexbelow=7755;e.ncommaaccent=326;e.ndotaccent=7749;e.ndotbelow=7751;e.nehiragana=12397;e.nekatakana=1249\
+3;e.nekatakanahalfwidth=65416;e.newsheqelsign=8362;e.nfsquare=13195;e.ngabengali=2457;e.ngadeva=2329;e.ngagujarati=2713;e.ngagurmukhi=2585;e.ngonguthai=3591;e.nhiragana=12435;e.nhookleft=626;e.nhookretroflex=627;e.nieunacirclekorean=12911;e.nieunaparenkorean=12815;e.nieuncieuckorean=12597;e.nieuncirclekorean=12897;e.nieunhieuhkorean=12598;e.nieunkorean=12596;e.nieunpansioskorean=12648;e.nieunparenkorean=12801;e.nieunsioskorean=12647;e.nieuntikeutkorean=12646;e.nihiragana=12395;e.nikatakana=12491\
+;e.nikatakanahalfwidth=65414;e.nikhahitleftthai=63641;e.nikhahitthai=3661;e.nine=57;e.ninearabic=1641;e.ninebengali=2543;e.ninecircle=9320;e.ninecircleinversesansserif=10130;e.ninedeva=2415;e.ninegujarati=2799;e.ninegurmukhi=2671;e.ninehackarabic=1641;e.ninehangzhou=12329;e.nineideographicparen=12840;e.nineinferior=8329;e.ninemonospace=65305;e.nineoldstyle=63289;e.nineparen=9340;e.nineperiod=9360;e.ninepersian=1785;e.nineroman=8568;e.ninesuperior=8313;e.nineteencircle=9330;e.nineteenparen=9350;e\
+.nineteenperiod=9370;e.ninethai=3673;e.nj=460;e.njecyrillic=1114;e.nkatakana=12531;e.nkatakanahalfwidth=65437;e.nlegrightlong=414;e.nlinebelow=7753;e.nmonospace=65358;e.nmsquare=13210;e.nnabengali=2467;e.nnadeva=2339;e.nnagujarati=2723;e.nnagurmukhi=2595;e.nnnadeva=2345;e.nohiragana=12398;e.nokatakana=12494;e.nokatakanahalfwidth=65417;e.nonbreakingspace=160;e.nonenthai=3603;e.nonuthai=3609;e.noonarabic=1606;e.noonfinalarabic=65254;e.noonghunnaarabic=1722;e.noonghunnafinalarabic=64415;e.nooniniti\
+alarabic=65255;e.noonjeeminitialarabic=64722;e.noonjeemisolatedarabic=64587;e.noonmedialarabic=65256;e.noonmeeminitialarabic=64725;e.noonmeemisolatedarabic=64590;e.noonnoonfinalarabic=64653;e.notcontains=8716;e.notelement=8713;e.notelementof=8713;e.notequal=8800;e.notgreater=8815;e.notgreaternorequal=8817;e.notgreaternorless=8825;e.notidentical=8802;e.notless=8814;e.notlessnorequal=8816;e.notparallel=8742;e.notprecedes=8832;e.notsubset=8836;e.notsucceeds=8833;e.notsuperset=8837;e.nowarmenian=139\
+8;e.nparen=9385;e.nssquare=13233;e.nsuperior=8319;e.ntilde=241;e.nu=957;e.nuhiragana=12396;e.nukatakana=12492;e.nukatakanahalfwidth=65415;e.nuktabengali=2492;e.nuktadeva=2364;e.nuktagujarati=2748;e.nuktagurmukhi=2620;e.numbersign=35;e.numbersignmonospace=65283;e.numbersignsmall=65119;e.numeralsigngreek=884;e.numeralsignlowergreek=885;e.numero=8470;e.nun=1504;e.nundagesh=64320;e.nundageshhebrew=64320;e.nunhebrew=1504;e.nvsquare=13237;e.nwsquare=13243;e.nyabengali=2462;e.nyadeva=2334;e.nyagujarati\
+=2718;e.nyagurmukhi=2590;e.o=111;e.oacute=243;e.oangthai=3629;e.obarred=629;e.obarredcyrillic=1257;e.obarreddieresiscyrillic=1259;e.obengali=2451;e.obopomofo=12571;e.obreve=335;e.ocandradeva=2321;e.ocandragujarati=2705;e.ocandravowelsigndeva=2377;e.ocandravowelsigngujarati=2761;e.ocaron=466;e.ocircle=9438;e.ocircumflex=244;e.ocircumflexacute=7889;e.ocircumflexdotbelow=7897;e.ocircumflexgrave=7891;e.ocircumflexhookabove=7893;e.ocircumflextilde=7895;e.ocyrillic=1086;e.odblacute=337;e.odblgrave=525\
+;e.odeva=2323;e.odieresis=246;e.odieresiscyrillic=1255;e.odotbelow=7885;e.oe=339;e.oekorean=12634;e.ogonek=731;e.ogonekcmb=808;e.ograve=242;e.ogujarati=2707;e.oharmenian=1413;e.ohiragana=12362;e.ohookabove=7887;e.ohorn=417;e.ohornacute=7899;e.ohorndotbelow=7907;e.ohorngrave=7901;e.ohornhookabove=7903;e.ohorntilde=7905;e.ohungarumlaut=337;e.oi=419;e.oinvertedbreve=527;e.okatakana=12458;e.okatakanahalfwidth=65397;e.okorean=12631;e.olehebrew=1451;e.omacron=333;e.omacronacute=7763;e.omacrongrave=776\
+1;e.omdeva=2384;e.omega=969;e.omega1=982;e.omegacyrillic=1121;e.omegalatinclosed=631;e.omegaroundcyrillic=1147;e.omegatitlocyrillic=1149;e.omegatonos=974;e.omgujarati=2768;e.omicron=959;e.omicrontonos=972;e.omonospace=65359;e.one=49;e.onearabic=1633;e.onebengali=2535;e.onecircle=9312;e.onecircleinversesansserif=10122;e.onedeva=2407;e.onedotenleader=8228;e.oneeighth=8539;e.onefitted=63196;e.onegujarati=2791;e.onegurmukhi=2663;e.onehackarabic=1633;e.onehalf=189;e.onehangzhou=12321;e.oneideographic\
+paren=12832;e.oneinferior=8321;e.onemonospace=65297;e.onenumeratorbengali=2548;e.oneoldstyle=63281;e.oneparen=9332;e.oneperiod=9352;e.onepersian=1777;e.onequarter=188;e.oneroman=8560;e.onesuperior=185;e.onethai=3665;e.onethird=8531;e.oogonek=491;e.oogonekmacron=493;e.oogurmukhi=2579;e.oomatragurmukhi=2635;e.oopen=596;e.oparen=9386;e.openbullet=9702;e.option=8997;e.ordfeminine=170;e.ordmasculine=186;e.orthogonal=8735;e.oshortdeva=2322;e.oshortvowelsigndeva=2378;e.oslash=248;e.oslashacute=511;e.os\
+mallhiragana=12361;e.osmallkatakana=12457;e.osmallkatakanahalfwidth=65387;e.ostrokeacute=511;e.osuperior=63216;e.otcyrillic=1151;e.otilde=245;e.otildeacute=7757;e.otildedieresis=7759;e.oubopomofo=12577;e.overline=8254;e.overlinecenterline=65098;e.overlinecmb=773;e.overlinedashed=65097;e.overlinedblwavy=65100;e.overlinewavy=65099;e.overscore=175;e.ovowelsignbengali=2507;e.ovowelsigndeva=2379;e.ovowelsigngujarati=2763;e.p=112;e.paampssquare=13184;e.paasentosquare=13099;e.pabengali=2474;e.pacute=77\
+65;e.padeva=2346;e.pagedown=8671;e.pageup=8670;e.pagujarati=2730;e.pagurmukhi=2602;e.pahiragana=12401;e.paiyannoithai=3631;e.pakatakana=12497;e.palatalizationcyrilliccmb=1156;e.palochkacyrillic=1216;e.pansioskorean=12671;e.paragraph=182;e.parallel=8741;e.parenleft=40;e.parenleftaltonearabic=64830;e.parenleftbt=63725;e.parenleftex=63724;e.parenleftinferior=8333;e.parenleftmonospace=65288;e.parenleftsmall=65113;e.parenleftsuperior=8317;e.parenlefttp=63723;e.parenleftvertical=65077;e.parenright=41;\
+e.parenrightaltonearabic=64831;e.parenrightbt=63736;e.parenrightex=63735;e.parenrightinferior=8334;e.parenrightmonospace=65289;e.parenrightsmall=65114;e.parenrightsuperior=8318;e.parenrighttp=63734;e.parenrightvertical=65078;e.partialdiff=8706;e.paseqhebrew=1472;e.pashtahebrew=1433;e.pasquare=13225;e.patah=1463;e.patah11=1463;e.patah1d=1463;e.patah2a=1463;e.patahhebrew=1463;e.patahnarrowhebrew=1463;e.patahquarterhebrew=1463;e.patahwidehebrew=1463;e.pazerhebrew=1441;e.pbopomofo=12550;e.pcircle=94\
+39;e.pdotaccent=7767;e.pe=1508;e.pecyrillic=1087;e.pedagesh=64324;e.pedageshhebrew=64324;e.peezisquare=13115;e.pefinaldageshhebrew=64323;e.peharabic=1662;e.peharmenian=1402;e.pehebrew=1508;e.pehfinalarabic=64343;e.pehinitialarabic=64344;e.pehiragana=12410;e.pehmedialarabic=64345;e.pekatakana=12506;e.pemiddlehookcyrillic=1191;e.perafehebrew=64334;e.percent=37;e.percentarabic=1642;e.percentmonospace=65285;e.percentsmall=65130;e.period=46;e.periodarmenian=1417;e.periodcentered=183;e.periodhalfwidth\
+=65377;e.periodinferior=63207;e.periodmonospace=65294;e.periodsmall=65106;e.periodsuperior=63208;e.perispomenigreekcmb=834;e.perpendicular=8869;e.perthousand=8240;e.peseta=8359;e.pfsquare=13194;e.phabengali=2475;e.phadeva=2347;e.phagujarati=2731;e.phagurmukhi=2603;e.phi=966;e.phi1=981;e.phieuphacirclekorean=12922;e.phieuphaparenkorean=12826;e.phieuphcirclekorean=12908;e.phieuphkorean=12621;e.phieuphparenkorean=12812;e.philatin=632;e.phinthuthai=3642;e.phisymbolgreek=981;e.phook=421;e.phophanthai\
+=3614;e.phophungthai=3612;e.phosamphaothai=3616;e.pi=960;e.pieupacirclekorean=12915;e.pieupaparenkorean=12819;e.pieupcieuckorean=12662;e.pieupcirclekorean=12901;e.pieupkiyeokkorean=12658;e.pieupkorean=12610;e.pieupparenkorean=12805;e.pieupsioskiyeokkorean=12660;e.pieupsioskorean=12612;e.pieupsiostikeutkorean=12661;e.pieupthieuthkorean=12663;e.pieuptikeutkorean=12659;e.pihiragana=12404;e.pikatakana=12500;e.pisymbolgreek=982;e.piwrarmenian=1411;e.planckover2pi=8463;e.planckover2pi1=8463;e.plus=43;\
+e.plusbelowcmb=799;e.pluscircle=8853;e.plusminus=177;e.plusmod=726;e.plusmonospace=65291;e.plussmall=65122;e.plussuperior=8314;e.pmonospace=65360;e.pmsquare=13272;e.pohiragana=12413;e.pointingindexdownwhite=9759;e.pointingindexleftwhite=9756;e.pointingindexrightwhite=9758;e.pointingindexupwhite=9757;e.pokatakana=12509;e.poplathai=3611;e.postalmark=12306;e.postalmarkface=12320;e.pparen=9387;e.precedes=8826;e.prescription=8478;e.primemod=697;e.primereversed=8245;e.product=8719;e.projective=8965;e.\
+prolongedkana=12540;e.propellor=8984;e.propersubset=8834;e.propersuperset=8835;e.proportion=8759;e.proportional=8733;e.psi=968;e.psicyrillic=1137;e.psilipneumatacyrilliccmb=1158;e.pssquare=13232;e.puhiragana=12407;e.pukatakana=12503;e.pvsquare=13236;e.pwsquare=13242;e.q=113;e.qadeva=2392;e.qadmahebrew=1448;e.qafarabic=1602;e.qaffinalarabic=65238;e.qafinitialarabic=65239;e.qafmedialarabic=65240;e.qamats=1464;e.qamats10=1464;e.qamats1a=1464;e.qamats1c=1464;e.qamats27=1464;e.qamats29=1464;e.qamats3\
+3=1464;e.qamatsde=1464;e.qamatshebrew=1464;e.qamatsnarrowhebrew=1464;e.qamatsqatanhebrew=1464;e.qamatsqatannarrowhebrew=1464;e.qamatsqatanquarterhebrew=1464;e.qamatsqatanwidehebrew=1464;e.qamatsquarterhebrew=1464;e.qamatswidehebrew=1464;e.qarneyparahebrew=1439;e.qbopomofo=12561;e.qcircle=9440;e.qhook=672;e.qmonospace=65361;e.qof=1511;e.qofdagesh=64327;e.qofdageshhebrew=64327;e.qofhebrew=1511;e.qparen=9388;e.quarternote=9833;e.qubuts=1467;e.qubuts18=1467;e.qubuts25=1467;e.qubuts31=1467;e.qubutshe\
+brew=1467;e.qubutsnarrowhebrew=1467;e.qubutsquarterhebrew=1467;e.qubutswidehebrew=1467;e.question=63;e.questionarabic=1567;e.questionarmenian=1374;e.questiondown=191;e.questiondownsmall=63423;e.questiongreek=894;e.questionmonospace=65311;e.questionsmall=63295;e.quotedbl=34;e.quotedblbase=8222;e.quotedblleft=8220;e.quotedblmonospace=65282;e.quotedblprime=12318;e.quotedblprimereversed=12317;e.quotedblright=8221;e.quoteleft=8216;e.quoteleftreversed=8219;e.quotereversed=8219;e.quoteright=8217;e.quot\
+erightn=329;e.quotesinglbase=8218;e.quotesingle=39;e.quotesinglemonospace=65287;e.r=114;e.raarmenian=1404;e.rabengali=2480;e.racute=341;e.radeva=2352;e.radical=8730;e.radicalex=63717;e.radoverssquare=13230;e.radoverssquaredsquare=13231;e.radsquare=13229;e.rafe=1471;e.rafehebrew=1471;e.ragujarati=2736;e.ragurmukhi=2608;e.rahiragana=12425;e.rakatakana=12521;e.rakatakanahalfwidth=65431;e.ralowerdiagonalbengali=2545;e.ramiddlediagonalbengali=2544;e.ramshorn=612;e.ratio=8758;e.rbopomofo=12566;e.rcaro\
+n=345;e.rcedilla=343;e.rcircle=9441;e.rcommaaccent=343;e.rdblgrave=529;e.rdotaccent=7769;e.rdotbelow=7771;e.rdotbelowmacron=7773;e.referencemark=8251;e.reflexsubset=8838;e.reflexsuperset=8839;e.registered=174;e.registersans=63720;e.registerserif=63194;e.reharabic=1585;e.reharmenian=1408;e.rehfinalarabic=65198;e.rehiragana=12428;e.rekatakana=12524;e.rekatakanahalfwidth=65434;e.resh=1512;e.reshdageshhebrew=64328;e.reshhebrew=1512;e.reversedtilde=8765;e.reviahebrew=1431;e.reviamugrashhebrew=1431;e.\
+revlogicalnot=8976;e.rfishhook=638;e.rfishhookreversed=639;e.rhabengali=2525;e.rhadeva=2397;e.rho=961;e.rhook=637;e.rhookturned=635;e.rhookturnedsuperior=693;e.rhosymbolgreek=1009;e.rhotichookmod=734;e.rieulacirclekorean=12913;e.rieulaparenkorean=12817;e.rieulcirclekorean=12899;e.rieulhieuhkorean=12608;e.rieulkiyeokkorean=12602;e.rieulkiyeoksioskorean=12649;e.rieulkorean=12601;e.rieulmieumkorean=12603;e.rieulpansioskorean=12652;e.rieulparenkorean=12803;e.rieulphieuphkorean=12607;e.rieulpieupkore\
+an=12604;e.rieulpieupsioskorean=12651;e.rieulsioskorean=12605;e.rieulthieuthkorean=12606;e.rieultikeutkorean=12650;e.rieulyeorinhieuhkorean=12653;e.rightangle=8735;e.righttackbelowcmb=793;e.righttriangle=8895;e.rihiragana=12426;e.rikatakana=12522;e.rikatakanahalfwidth=65432;e.ring=730;e.ringbelowcmb=805;e.ringcmb=778;e.ringhalfleft=703;e.ringhalfleftarmenian=1369;e.ringhalfleftbelowcmb=796;e.ringhalfleftcentered=723;e.ringhalfright=702;e.ringhalfrightbelowcmb=825;e.ringhalfrightcentered=722;e.ri\
+nvertedbreve=531;e.rittorusquare=13137;e.rlinebelow=7775;e.rlongleg=636;e.rlonglegturned=634;e.rmonospace=65362;e.rohiragana=12429;e.rokatakana=12525;e.rokatakanahalfwidth=65435;e.roruathai=3619;e.rparen=9389;e.rrabengali=2524;e.rradeva=2353;e.rragurmukhi=2652;e.rreharabic=1681;e.rrehfinalarabic=64397;e.rrvocalicbengali=2528;e.rrvocalicdeva=2400;e.rrvocalicgujarati=2784;e.rrvocalicvowelsignbengali=2500;e.rrvocalicvowelsigndeva=2372;e.rrvocalicvowelsigngujarati=2756;e.rsuperior=63217;e.rtblock=96\
+16;e.rturned=633;e.rturnedsuperior=692;e.ruhiragana=12427;e.rukatakana=12523;e.rukatakanahalfwidth=65433;e.rupeemarkbengali=2546;e.rupeesignbengali=2547;e.rupiah=63197;e.ruthai=3620;e.rvocalicbengali=2443;e.rvocalicdeva=2315;e.rvocalicgujarati=2699;e.rvocalicvowelsignbengali=2499;e.rvocalicvowelsigndeva=2371;e.rvocalicvowelsigngujarati=2755;e.s=115;e.sabengali=2488;e.sacute=347;e.sacutedotaccent=7781;e.sadarabic=1589;e.sadeva=2360;e.sadfinalarabic=65210;e.sadinitialarabic=65211;e.sadmedialarabic\
+=65212;e.sagujarati=2744;e.sagurmukhi=2616;e.sahiragana=12373;e.sakatakana=12469;e.sakatakanahalfwidth=65403;e.sallallahoualayhewasallamarabic=65018;e.samekh=1505;e.samekhdagesh=64321;e.samekhdageshhebrew=64321;e.samekhhebrew=1505;e.saraaathai=3634;e.saraaethai=3649;e.saraaimaimalaithai=3652;e.saraaimaimuanthai=3651;e.saraamthai=3635;e.saraathai=3632;e.saraethai=3648;e.saraiileftthai=63622;e.saraiithai=3637;e.saraileftthai=63621;e.saraithai=3636;e.saraothai=3650;e.saraueeleftthai=63624;e.sarauee\
+thai=3639;e.saraueleftthai=63623;e.sarauethai=3638;e.sarauthai=3640;e.sarauuthai=3641;e.sbopomofo=12569;e.scaron=353;e.scarondotaccent=7783;e.scedilla=351;e.schwa=601;e.schwacyrillic=1241;e.schwadieresiscyrillic=1243;e.schwahook=602;e.scircle=9442;e.scircumflex=349;e.scommaaccent=537;e.sdotaccent=7777;e.sdotbelow=7779;e.sdotbelowdotaccent=7785;e.seagullbelowcmb=828;e.second=8243;e.secondtonechinese=714;e.section=167;e.seenarabic=1587;e.seenfinalarabic=65202;e.seeninitialarabic=65203;e.seenmedial\
+arabic=65204;e.segol=1462;e.segol13=1462;e.segol1f=1462;e.segol2c=1462;e.segolhebrew=1462;e.segolnarrowhebrew=1462;e.segolquarterhebrew=1462;e.segoltahebrew=1426;e.segolwidehebrew=1462;e.seharmenian=1405;e.sehiragana=12379;e.sekatakana=12475;e.sekatakanahalfwidth=65406;e.semicolon=59;e.semicolonarabic=1563;e.semicolonmonospace=65307;e.semicolonsmall=65108;e.semivoicedmarkkana=12444;e.semivoicedmarkkanahalfwidth=65439;e.sentisquare=13090;e.sentosquare=13091;e.seven=55;e.sevenarabic=1639;e.sevenbe\
+ngali=2541;e.sevencircle=9318;e.sevencircleinversesansserif=10128;e.sevendeva=2413;e.seveneighths=8542;e.sevengujarati=2797;e.sevengurmukhi=2669;e.sevenhackarabic=1639;e.sevenhangzhou=12327;e.sevenideographicparen=12838;e.seveninferior=8327;e.sevenmonospace=65303;e.sevenoldstyle=63287;e.sevenparen=9338;e.sevenperiod=9358;e.sevenpersian=1783;e.sevenroman=8566;e.sevensuperior=8311;e.seventeencircle=9328;e.seventeenparen=9348;e.seventeenperiod=9368;e.seventhai=3671;e.sfthyphen=173;e.shaarmenian=139\
+9;e.shabengali=2486;e.shacyrillic=1096;e.shaddaarabic=1617;e.shaddadammaarabic=64609;e.shaddadammatanarabic=64606;e.shaddafathaarabic=64608;e.shaddakasraarabic=64610;e.shaddakasratanarabic=64607;e.shade=9618;e.shadedark=9619;e.shadelight=9617;e.shademedium=9618;e.shadeva=2358;e.shagujarati=2742;e.shagurmukhi=2614;e.shalshelethebrew=1427;e.shbopomofo=12565;e.shchacyrillic=1097;e.sheenarabic=1588;e.sheenfinalarabic=65206;e.sheeninitialarabic=65207;e.sheenmedialarabic=65208;e.sheicoptic=995;e.sheqe\
+l=8362;e.sheqelhebrew=8362;e.sheva=1456;e.sheva115=1456;e.sheva15=1456;e.sheva22=1456;e.sheva2e=1456;e.shevahebrew=1456;e.shevanarrowhebrew=1456;e.shevaquarterhebrew=1456;e.shevawidehebrew=1456;e.shhacyrillic=1211;e.shimacoptic=1005;e.shin=1513;e.shindagesh=64329;e.shindageshhebrew=64329;e.shindageshshindot=64300;e.shindageshshindothebrew=64300;e.shindageshsindot=64301;e.shindageshsindothebrew=64301;e.shindothebrew=1473;e.shinhebrew=1513;e.shinshindot=64298;e.shinshindothebrew=64298;e.shinsindot\
+=64299;e.shinsindothebrew=64299;e.shook=642;e.sigma=963;e.sigma1=962;e.sigmafinal=962;e.sigmalunatesymbolgreek=1010;e.sihiragana=12375;e.sikatakana=12471;e.sikatakanahalfwidth=65404;e.siluqhebrew=1469;e.siluqlefthebrew=1469;e.similar=8764;e.sindothebrew=1474;e.siosacirclekorean=12916;e.siosaparenkorean=12820;e.sioscieuckorean=12670;e.sioscirclekorean=12902;e.sioskiyeokkorean=12666;e.sioskorean=12613;e.siosnieunkorean=12667;e.siosparenkorean=12806;e.siospieupkorean=12669;e.siostikeutkorean=12668;\
+e.six=54;e.sixarabic=1638;e.sixbengali=2540;e.sixcircle=9317;e.sixcircleinversesansserif=10127;e.sixdeva=2412;e.sixgujarati=2796;e.sixgurmukhi=2668;e.sixhackarabic=1638;e.sixhangzhou=12326;e.sixideographicparen=12837;e.sixinferior=8326;e.sixmonospace=65302;e.sixoldstyle=63286;e.sixparen=9337;e.sixperiod=9357;e.sixpersian=1782;e.sixroman=8565;e.sixsuperior=8310;e.sixteencircle=9327;e.sixteencurrencydenominatorbengali=2553;e.sixteenparen=9347;e.sixteenperiod=9367;e.sixthai=3670;e.slash=47;e.slashm\
+onospace=65295;e.slong=383;e.slongdotaccent=7835;e.smileface=9786;e.smonospace=65363;e.sofpasuqhebrew=1475;e.softhyphen=173;e.softsigncyrillic=1100;e.sohiragana=12381;e.sokatakana=12477;e.sokatakanahalfwidth=65407;e.soliduslongoverlaycmb=824;e.solidusshortoverlaycmb=823;e.sorusithai=3625;e.sosalathai=3624;e.sosothai=3595;e.sosuathai=3626;e.space=32;e.spacehackarabic=32;e.spade=9824;e.spadesuitblack=9824;e.spadesuitwhite=9828;e.sparen=9390;e.squarebelowcmb=827;e.squarecc=13252;e.squarecm=13213;e.\
+squarediagonalcrosshatchfill=9641;e.squarehorizontalfill=9636;e.squarekg=13199;e.squarekm=13214;e.squarekmcapital=13262;e.squareln=13265;e.squarelog=13266;e.squaremg=13198;e.squaremil=13269;e.squaremm=13212;e.squaremsquared=13217;e.squareorthogonalcrosshatchfill=9638;e.squareupperlefttolowerrightfill=9639;e.squareupperrighttolowerleftfill=9640;e.squareverticalfill=9637;e.squarewhitewithsmallblack=9635;e.srsquare=13275;e.ssabengali=2487;e.ssadeva=2359;e.ssagujarati=2743;e.ssangcieuckorean=12617;e\
+.ssanghieuhkorean=12677;e.ssangieungkorean=12672;e.ssangkiyeokkorean=12594;e.ssangnieunkorean=12645;e.ssangpieupkorean=12611;e.ssangsioskorean=12614;e.ssangtikeutkorean=12600;e.ssuperior=63218;e.sterling=163;e.sterlingmonospace=65505;e.strokelongoverlaycmb=822;e.strokeshortoverlaycmb=821;e.subset=8834;e.subsetnotequal=8842;e.subsetorequal=8838;e.succeeds=8827;e.suchthat=8715;e.suhiragana=12377;e.sukatakana=12473;e.sukatakanahalfwidth=65405;e.sukunarabic=1618;e.summation=8721;e.sun=9788;e.superse\
+t=8835;e.supersetnotequal=8843;e.supersetorequal=8839;e.svsquare=13276;e.syouwaerasquare=13180;e.t=116;e.tabengali=2468;e.tackdown=8868;e.tackleft=8867;e.tadeva=2340;e.tagujarati=2724;e.tagurmukhi=2596;e.taharabic=1591;e.tahfinalarabic=65218;e.tahinitialarabic=65219;e.tahiragana=12383;e.tahmedialarabic=65220;e.taisyouerasquare=13181;e.takatakana=12479;e.takatakanahalfwidth=65408;e.tatweelarabic=1600;e.tau=964;e.tav=1514;e.tavdages=64330;e.tavdagesh=64330;e.tavdageshhebrew=64330;e.tavhebrew=1514;\
+e.tbar=359;e.tbopomofo=12554;e.tcaron=357;e.tccurl=680;e.tcedilla=355;e.tcheharabic=1670;e.tchehfinalarabic=64379;e.tchehinitialarabic=64380;e.tchehmedialarabic=64381;e.tcircle=9443;e.tcircumflexbelow=7793;e.tcommaaccent=355;e.tdieresis=7831;e.tdotaccent=7787;e.tdotbelow=7789;e.tecyrillic=1090;e.tedescendercyrillic=1197;e.teharabic=1578;e.tehfinalarabic=65174;e.tehhahinitialarabic=64674;e.tehhahisolatedarabic=64524;e.tehinitialarabic=65175;e.tehiragana=12390;e.tehjeeminitialarabic=64673;e.tehjee\
+misolatedarabic=64523;e.tehmarbutaarabic=1577;e.tehmarbutafinalarabic=65172;e.tehmedialarabic=65176;e.tehmeeminitialarabic=64676;e.tehmeemisolatedarabic=64526;e.tehnoonfinalarabic=64627;e.tekatakana=12486;e.tekatakanahalfwidth=65411;e.telephone=8481;e.telephoneblack=9742;e.telishagedolahebrew=1440;e.telishaqetanahebrew=1449;e.tencircle=9321;e.tenideographicparen=12841;e.tenparen=9341;e.tenperiod=9361;e.tenroman=8569;e.tesh=679;e.tet=1496;e.tetdagesh=64312;e.tetdageshhebrew=64312;e.tethebrew=1496\
+;e.tetsecyrillic=1205;e.tevirhebrew=1435;e.tevirlefthebrew=1435;e.thabengali=2469;e.thadeva=2341;e.thagujarati=2725;e.thagurmukhi=2597;e.thalarabic=1584;e.thalfinalarabic=65196;e.thanthakhatlowleftthai=63640;e.thanthakhatlowrightthai=63639;e.thanthakhatthai=3660;e.thanthakhatupperleftthai=63638;e.theharabic=1579;e.thehfinalarabic=65178;e.thehinitialarabic=65179;e.thehmedialarabic=65180;e.thereexists=8707;e.therefore=8756;e.theta=952;e.theta1=977;e.thetasymbolgreek=977;e.thieuthacirclekorean=1292\
+1;e.thieuthaparenkorean=12825;e.thieuthcirclekorean=12907;e.thieuthkorean=12620;e.thieuthparenkorean=12811;e.thirteencircle=9324;e.thirteenparen=9344;e.thirteenperiod=9364;e.thonangmonthothai=3601;e.thook=429;e.thophuthaothai=3602;e.thorn=254;e.thothahanthai=3607;e.thothanthai=3600;e.thothongthai=3608;e.thothungthai=3606;e.thousandcyrillic=1154;e.thousandsseparatorarabic=1644;e.thousandsseparatorpersian=1644;e.three=51;e.threearabic=1635;e.threebengali=2537;e.threecircle=9314;e.threecircleinvers\
+esansserif=10124;e.threedeva=2409;e.threeeighths=8540;e.threegujarati=2793;e.threegurmukhi=2665;e.threehackarabic=1635;e.threehangzhou=12323;e.threeideographicparen=12834;e.threeinferior=8323;e.threemonospace=65299;e.threenumeratorbengali=2550;e.threeoldstyle=63283;e.threeparen=9334;e.threeperiod=9354;e.threepersian=1779;e.threequarters=190;e.threequartersemdash=63198;e.threeroman=8562;e.threesuperior=179;e.threethai=3667;e.thzsquare=13204;e.tihiragana=12385;e.tikatakana=12481;e.tikatakanahalfwi\
+dth=65409;e.tikeutacirclekorean=12912;e.tikeutaparenkorean=12816;e.tikeutcirclekorean=12898;e.tikeutkorean=12599;e.tikeutparenkorean=12802;e.tilde=732;e.tildebelowcmb=816;e.tildecmb=771;e.tildecomb=771;e.tildedoublecmb=864;e.tildeoperator=8764;e.tildeoverlaycmb=820;e.tildeverticalcmb=830;e.timescircle=8855;e.tipehahebrew=1430;e.tipehalefthebrew=1430;e.tippigurmukhi=2672;e.titlocyrilliccmb=1155;e.tiwnarmenian=1407;e.tlinebelow=7791;e.tmonospace=65364;e.toarmenian=1385;e.tohiragana=12392;e.tokatak\
+ana=12488;e.tokatakanahalfwidth=65412;e.tonebarextrahighmod=741;e.tonebarextralowmod=745;e.tonebarhighmod=742;e.tonebarlowmod=744;e.tonebarmidmod=743;e.tonefive=445;e.tonesix=389;e.tonetwo=424;e.tonos=900;e.tonsquare=13095;e.topatakthai=3599;e.tortoiseshellbracketleft=12308;e.tortoiseshellbracketleftsmall=65117;e.tortoiseshellbracketleftvertical=65081;e.tortoiseshellbracketright=12309;e.tortoiseshellbracketrightsmall=65118;e.tortoiseshellbracketrightvertical=65082;e.totaothai=3605;e.tpalatalhook\
+=427;e.tparen=9391;e.trademark=8482;e.trademarksans=63722;e.trademarkserif=63195;e.tretroflexhook=648;e.triagdn=9660;e.triaglf=9668;e.triagrt=9658;e.triagup=9650;e.ts=678;e.tsadi=1510;e.tsadidagesh=64326;e.tsadidageshhebrew=64326;e.tsadihebrew=1510;e.tsecyrillic=1094;e.tsere=1461;e.tsere12=1461;e.tsere1e=1461;e.tsere2b=1461;e.tserehebrew=1461;e.tserenarrowhebrew=1461;e.tserequarterhebrew=1461;e.tserewidehebrew=1461;e.tshecyrillic=1115;e.tsuperior=63219;e.ttabengali=2463;e.ttadeva=2335;e.ttagujar\
+ati=2719;e.ttagurmukhi=2591;e.tteharabic=1657;e.ttehfinalarabic=64359;e.ttehinitialarabic=64360;e.ttehmedialarabic=64361;e.tthabengali=2464;e.tthadeva=2336;e.tthagujarati=2720;e.tthagurmukhi=2592;e.tturned=647;e.tuhiragana=12388;e.tukatakana=12484;e.tukatakanahalfwidth=65410;e.tusmallhiragana=12387;e.tusmallkatakana=12483;e.tusmallkatakanahalfwidth=65391;e.twelvecircle=9323;e.twelveparen=9343;e.twelveperiod=9363;e.twelveroman=8571;e.twentycircle=9331;e.twentyhangzhou=21316;e.twentyparen=9351;e.t\
+wentyperiod=9371;e.two=50;e.twoarabic=1634;e.twobengali=2536;e.twocircle=9313;e.twocircleinversesansserif=10123;e.twodeva=2408;e.twodotenleader=8229;e.twodotleader=8229;e.twodotleadervertical=65072;e.twogujarati=2792;e.twogurmukhi=2664;e.twohackarabic=1634;e.twohangzhou=12322;e.twoideographicparen=12833;e.twoinferior=8322;e.twomonospace=65298;e.twonumeratorbengali=2549;e.twooldstyle=63282;e.twoparen=9333;e.twoperiod=9353;e.twopersian=1778;e.tworoman=8561;e.twostroke=443;e.twosuperior=178;e.twoth\
+ai=3666;e.twothirds=8532;e.u=117;e.uacute=250;e.ubar=649;e.ubengali=2441;e.ubopomofo=12584;e.ubreve=365;e.ucaron=468;e.ucircle=9444;e.ucircumflex=251;e.ucircumflexbelow=7799;e.ucyrillic=1091;e.udattadeva=2385;e.udblacute=369;e.udblgrave=533;e.udeva=2313;e.udieresis=252;e.udieresisacute=472;e.udieresisbelow=7795;e.udieresiscaron=474;e.udieresiscyrillic=1265;e.udieresisgrave=476;e.udieresismacron=470;e.udotbelow=7909;e.ugrave=249;e.ugujarati=2697;e.ugurmukhi=2569;e.uhiragana=12358;e.uhookabove=791\
+1;e.uhorn=432;e.uhornacute=7913;e.uhorndotbelow=7921;e.uhorngrave=7915;e.uhornhookabove=7917;e.uhorntilde=7919;e.uhungarumlaut=369;e.uhungarumlautcyrillic=1267;e.uinvertedbreve=535;e.ukatakana=12454;e.ukatakanahalfwidth=65395;e.ukcyrillic=1145;e.ukorean=12636;e.umacron=363;e.umacroncyrillic=1263;e.umacrondieresis=7803;e.umatragurmukhi=2625;e.umonospace=65365;e.underscore=95;e.underscoredbl=8215;e.underscoremonospace=65343;e.underscorevertical=65075;e.underscorewavy=65103;e.union=8746;e.universal\
+=8704;e.uogonek=371;e.uparen=9392;e.upblock=9600;e.upperdothebrew=1476;e.upsilon=965;e.upsilondieresis=971;e.upsilondieresistonos=944;e.upsilonlatin=650;e.upsilontonos=973;e.uptackbelowcmb=797;e.uptackmod=724;e.uragurmukhi=2675;e.uring=367;e.ushortcyrillic=1118;e.usmallhiragana=12357;e.usmallkatakana=12453;e.usmallkatakanahalfwidth=65385;e.ustraightcyrillic=1199;e.ustraightstrokecyrillic=1201;e.utilde=361;e.utildeacute=7801;e.utildebelow=7797;e.uubengali=2442;e.uudeva=2314;e.uugujarati=2698;e.uu\
+gurmukhi=2570;e.uumatragurmukhi=2626;e.uuvowelsignbengali=2498;e.uuvowelsigndeva=2370;e.uuvowelsigngujarati=2754;e.uvowelsignbengali=2497;e.uvowelsigndeva=2369;e.uvowelsigngujarati=2753;e.v=118;e.vadeva=2357;e.vagujarati=2741;e.vagurmukhi=2613;e.vakatakana=12535;e.vav=1493;e.vavdagesh=64309;e.vavdagesh65=64309;e.vavdageshhebrew=64309;e.vavhebrew=1493;e.vavholam=64331;e.vavholamhebrew=64331;e.vavvavhebrew=1520;e.vavyodhebrew=1521;e.vcircle=9445;e.vdotbelow=7807;e.vecyrillic=1074;e.veharabic=1700;\
+e.vehfinalarabic=64363;e.vehinitialarabic=64364;e.vehmedialarabic=64365;e.vekatakana=12537;e.venus=9792;e.verticalbar=124;e.verticallineabovecmb=781;e.verticallinebelowcmb=809;e.verticallinelowmod=716;e.verticallinemod=712;e.vewarmenian=1406;e.vhook=651;e.vikatakana=12536;e.viramabengali=2509;e.viramadeva=2381;e.viramagujarati=2765;e.visargabengali=2435;e.visargadeva=2307;e.visargagujarati=2691;e.vmonospace=65366;e.voarmenian=1400;e.voicediterationhiragana=12446;e.voicediterationkatakana=12542;e\
+.voicedmarkkana=12443;e.voicedmarkkanahalfwidth=65438;e.vokatakana=12538;e.vparen=9393;e.vtilde=7805;e.vturned=652;e.vuhiragana=12436;e.vukatakana=12532;e.w=119;e.wacute=7811;e.waekorean=12633;e.wahiragana=12431;e.wakatakana=12527;e.wakatakanahalfwidth=65436;e.wakorean=12632;e.wasmallhiragana=12430;e.wasmallkatakana=12526;e.wattosquare=13143;e.wavedash=12316;e.wavyunderscorevertical=65076;e.wawarabic=1608;e.wawfinalarabic=65262;e.wawhamzaabovearabic=1572;e.wawhamzaabovefinalarabic=65158;e.wbsqua\
+re=13277;e.wcircle=9446;e.wcircumflex=373;e.wdieresis=7813;e.wdotaccent=7815;e.wdotbelow=7817;e.wehiragana=12433;e.weierstrass=8472;e.wekatakana=12529;e.wekorean=12638;e.weokorean=12637;e.wgrave=7809;e.whitebullet=9702;e.whitecircle=9675;e.whitecircleinverse=9689;e.whitecornerbracketleft=12302;e.whitecornerbracketleftvertical=65091;e.whitecornerbracketright=12303;e.whitecornerbracketrightvertical=65092;e.whitediamond=9671;e.whitediamondcontainingblacksmalldiamond=9672;e.whitedownpointingsmalltri\
+angle=9663;e.whitedownpointingtriangle=9661;e.whiteleftpointingsmalltriangle=9667;e.whiteleftpointingtriangle=9665;e.whitelenticularbracketleft=12310;e.whitelenticularbracketright=12311;e.whiterightpointingsmalltriangle=9657;e.whiterightpointingtriangle=9655;e.whitesmallsquare=9643;e.whitesmilingface=9786;e.whitesquare=9633;e.whitestar=9734;e.whitetelephone=9743;e.whitetortoiseshellbracketleft=12312;e.whitetortoiseshellbracketright=12313;e.whiteuppointingsmalltriangle=9653;e.whiteuppointingtrian\
+gle=9651;e.wihiragana=12432;e.wikatakana=12528;e.wikorean=12639;e.wmonospace=65367;e.wohiragana=12434;e.wokatakana=12530;e.wokatakanahalfwidth=65382;e.won=8361;e.wonmonospace=65510;e.wowaenthai=3623;e.wparen=9394;e.wring=7832;e.wsuperior=695;e.wturned=653;e.wynn=447;e.x=120;e.xabovecmb=829;e.xbopomofo=12562;e.xcircle=9447;e.xdieresis=7821;e.xdotaccent=7819;e.xeharmenian=1389;e.xi=958;e.xmonospace=65368;e.xparen=9395;e.xsuperior=739;e.y=121;e.yaadosquare=13134;e.yabengali=2479;e.yacute=253;e.yade\
+va=2351;e.yaekorean=12626;e.yagujarati=2735;e.yagurmukhi=2607;e.yahiragana=12420;e.yakatakana=12516;e.yakatakanahalfwidth=65428;e.yakorean=12625;e.yamakkanthai=3662;e.yasmallhiragana=12419;e.yasmallkatakana=12515;e.yasmallkatakanahalfwidth=65388;e.yatcyrillic=1123;e.ycircle=9448;e.ycircumflex=375;e.ydieresis=255;e.ydotaccent=7823;e.ydotbelow=7925;e.yeharabic=1610;e.yehbarreearabic=1746;e.yehbarreefinalarabic=64431;e.yehfinalarabic=65266;e.yehhamzaabovearabic=1574;e.yehhamzaabovefinalarabic=65162\
+;e.yehhamzaaboveinitialarabic=65163;e.yehhamzaabovemedialarabic=65164;e.yehinitialarabic=65267;e.yehmedialarabic=65268;e.yehmeeminitialarabic=64733;e.yehmeemisolatedarabic=64600;e.yehnoonfinalarabic=64660;e.yehthreedotsbelowarabic=1745;e.yekorean=12630;e.yen=165;e.yenmonospace=65509;e.yeokorean=12629;e.yeorinhieuhkorean=12678;e.yerahbenyomohebrew=1450;e.yerahbenyomolefthebrew=1450;e.yericyrillic=1099;e.yerudieresiscyrillic=1273;e.yesieungkorean=12673;e.yesieungpansioskorean=12675;e.yesieungsiosk\
+orean=12674;e.yetivhebrew=1434;e.ygrave=7923;e.yhook=436;e.yhookabove=7927;e.yiarmenian=1397;e.yicyrillic=1111;e.yikorean=12642;e.yinyang=9775;e.yiwnarmenian=1410;e.ymonospace=65369;e.yod=1497;e.yoddagesh=64313;e.yoddageshhebrew=64313;e.yodhebrew=1497;e.yodyodhebrew=1522;e.yodyodpatahhebrew=64287;e.yohiragana=12424;e.yoikorean=12681;e.yokatakana=12520;e.yokatakanahalfwidth=65430;e.yokorean=12635;e.yosmallhiragana=12423;e.yosmallkatakana=12519;e.yosmallkatakanahalfwidth=65390;e.yotgreek=1011;e.yo\
+yaekorean=12680;e.yoyakorean=12679;e.yoyakthai=3618;e.yoyingthai=3597;e.yparen=9396;e.ypogegrammeni=890;e.ypogegrammenigreekcmb=837;e.yr=422;e.yring=7833;e.ysuperior=696;e.ytilde=7929;e.yturned=654;e.yuhiragana=12422;e.yuikorean=12684;e.yukatakana=12518;e.yukatakanahalfwidth=65429;e.yukorean=12640;e.yusbigcyrillic=1131;e.yusbigiotifiedcyrillic=1133;e.yuslittlecyrillic=1127;e.yuslittleiotifiedcyrillic=1129;e.yusmallhiragana=12421;e.yusmallkatakana=12517;e.yusmallkatakanahalfwidth=65389;e.yuyekore\
+an=12683;e.yuyeokorean=12682;e.yyabengali=2527;e.yyadeva=2399;e.z=122;e.zaarmenian=1382;e.zacute=378;e.zadeva=2395;e.zagurmukhi=2651;e.zaharabic=1592;e.zahfinalarabic=65222;e.zahinitialarabic=65223;e.zahiragana=12374;e.zahmedialarabic=65224;e.zainarabic=1586;e.zainfinalarabic=65200;e.zakatakana=12470;e.zaqefgadolhebrew=1429;e.zaqefqatanhebrew=1428;e.zarqahebrew=1432;e.zayin=1494;e.zayindagesh=64310;e.zayindageshhebrew=64310;e.zayinhebrew=1494;e.zbopomofo=12567;e.zcaron=382;e.zcircle=9449;e.zcirc\
+umflex=7825;e.zcurl=657;e.zdot=380;e.zdotaccent=380;e.zdotbelow=7827;e.zecyrillic=1079;e.zedescendercyrillic=1177;e.zedieresiscyrillic=1247;e.zehiragana=12380;e.zekatakana=12476;e.zero=48;e.zeroarabic=1632;e.zerobengali=2534;e.zerodeva=2406;e.zerogujarati=2790;e.zerogurmukhi=2662;e.zerohackarabic=1632;e.zeroinferior=8320;e.zeromonospace=65296;e.zerooldstyle=63280;e.zeropersian=1776;e.zerosuperior=8304;e.zerothai=3664;e.zerowidthjoiner=65279;e.zerowidthnonjoiner=8204;e.zerowidthspace=8203;e.zeta=\
+950;e.zhbopomofo=12563;e.zhearmenian=1386;e.zhebrevecyrillic=1218;e.zhecyrillic=1078;e.zhedescendercyrillic=1175;e.zhedieresiscyrillic=1245;e.zihiragana=12376;e.zikatakana=12472;e.zinorhebrew=1454;e.zlinebelow=7829;e.zmonospace=65370;e.zohiragana=12382;e.zokatakana=12478;e.zparen=9397;e.zretroflexhook=656;e.zstroke=438;e.zuhiragana=12378;e.zukatakana=12474;e[".notdef"]=0;e.angbracketleftbig=9001;e.angbracketleftBig=9001;e.angbracketleftbigg=9001;e.angbracketleftBigg=9001;e.angbracketrightBig=900\
+2;e.angbracketrightbig=9002;e.angbracketrightBigg=9002;e.angbracketrightbigg=9002;e.arrowhookleft=8618;e.arrowhookright=8617;e.arrowlefttophalf=8636;e.arrowleftbothalf=8637;e.arrownortheast=8599;e.arrownorthwest=8598;e.arrowrighttophalf=8640;e.arrowrightbothalf=8641;e.arrowsoutheast=8600;e.arrowsouthwest=8601;e.backslashbig=8726;e.backslashBig=8726;e.backslashBigg=8726;e.backslashbigg=8726;e.bardbl=8214;e.bracehtipdownleft=65079;e.bracehtipdownright=65079;e.bracehtipupleft=65080;e.bracehtipuprig\
+ht=65080;e.braceleftBig=123;e.braceleftbig=123;e.braceleftbigg=123;e.braceleftBigg=123;e.bracerightBig=125;e.bracerightbig=125;e.bracerightbigg=125;e.bracerightBigg=125;e.bracketleftbig=91;e.bracketleftBig=91;e.bracketleftbigg=91;e.bracketleftBigg=91;e.bracketrightBig=93;e.bracketrightbig=93;e.bracketrightbigg=93;e.bracketrightBigg=93;e.ceilingleftbig=8968;e.ceilingleftBig=8968;e.ceilingleftBigg=8968;e.ceilingleftbigg=8968;e.ceilingrightbig=8969;e.ceilingrightBig=8969;e.ceilingrightbigg=8969;e.c\
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+h","onehalf","plusminus","Thorn","onequarter","divide","brokenbar","degree","thorn","threequarters","twosuperior","registered","minus","eth","multiply","threesuperior","copyright","Aacute","Acircumflex","Adieresis","Agrave","Aring","Atilde","Ccedilla","Eacute","Ecircumflex","Edieresis","Egrave","Iacute","Icircumflex","Idieresis","Igrave","Ntilde","Oacute","Ocircumflex","Odieresis","Ograve","Otilde","Scaron","Uacute","Ucircumflex","Udieresis","Ugrave","Yacute","Ydieresis","Zcaron","aacute","acirc\
+umflex","adieresis","agrave","aring","atilde","ccedilla","eacute","ecircumflex","edieresis","egrave","iacute","icircumflex","idieresis","igrave","ntilde","oacute","ocircumflex","odieresis","ograve","otilde","scaron","uacute","ucircumflex","udieresis","ugrave","yacute","ydieresis","zcaron","exclamsmall","Hungarumlautsmall","dollaroldstyle","dollarsuperior","ampersandsmall","Acutesmall","parenleftsuperior","parenrightsuperior","twodotenleader","onedotenleader","zerooldstyle","oneoldstyle","twoolds\
+tyle","threeoldstyle","fouroldstyle","fiveoldstyle","sixoldstyle","sevenoldstyle","eightoldstyle","nineoldstyle","commasuperior","threequartersemdash","periodsuperior","questionsmall","asuperior","bsuperior","centsuperior","dsuperior","esuperior","isuperior","lsuperior","msuperior","nsuperior","osuperior","rsuperior","ssuperior","tsuperior","ff","ffi","ffl","parenleftinferior","parenrightinferior","Circumflexsmall","hyphensuperior","Gravesmall","Asmall","Bsmall","Csmall","Dsmall","Esmall","Fsmal\
+l","Gsmall","Hsmall","Ismall","Jsmall","Ksmall","Lsmall","Msmall","Nsmall","Osmall","Psmall","Qsmall","Rsmall","Ssmall","Tsmall","Usmall","Vsmall","Wsmall","Xsmall","Ysmall","Zsmall","colonmonetary","onefitted","rupiah","Tildesmall","exclamdownsmall","centoldstyle","Lslashsmall","Scaronsmall","Zcaronsmall","Dieresissmall","Brevesmall","Caronsmall","Dotaccentsmall","Macronsmall","figuredash","hypheninferior","Ogoneksmall","Ringsmall","Cedillasmall","questiondownsmall","oneeighth","threeeighths","\
+fiveeighths","seveneighths","onethird","twothirds","zerosuperior","foursuperior","fivesuperior","sixsuperior","sevensuperior","eightsuperior","ninesuperior","zeroinferior","oneinferior","twoinferior","threeinferior","fourinferior","fiveinferior","sixinferior","seveninferior","eightinferior","nineinferior","centinferior","dollarinferior","periodinferior","commainferior","Agravesmall","Aacutesmall","Acircumflexsmall","Atildesmall","Adieresissmall","Aringsmall","AEsmall","Ccedillasmall","Egravesmal\
+l","Eacutesmall","Ecircumflexsmall","Edieresissmall","Igravesmall","Iacutesmall","Icircumflexsmall","Idieresissmall","Ethsmall","Ntildesmall","Ogravesmall","Oacutesmall","Ocircumflexsmall","Otildesmall","Odieresissmall","OEsmall","Oslashsmall","Ugravesmall","Uacutesmall","Ucircumflexsmall","Udieresissmall","Yacutesmall","Thornsmall","Ydieresissmall","001.000","001.001","001.002","001.003","Black","Bold","Book","Light","Medium","Regular","Roman","Semibold"],Wr=391,zr=[null,{id:"hstem",min:2,stack\
+Clearing:!0,stem:!0},null,{id:"vstem",min:2,stackClearing:!0,stem:!0},{id:"vmoveto",min:1,stackClearing:!0},{id:"rlineto",min:2,resetStack:!0},{id:"hlineto",min:1,resetStack:!0},{id:"vlineto",min:1,resetStack:!0},{id:"rrcurveto",min:6,resetStack:!0},null,{id:"callsubr",min:1,undefStack:!0},{id:"return",min:0,undefStack:!0},null,null,{id:"endchar",min:0,stackClearing:!0},null,null,null,{id:"hstemhm",min:2,stackClearing:!0,stem:!0},{id:"hintmask",min:0,stackClearing:!0},{id:"cntrmask",min:0,stackC\
+learing:!0},{id:"rmoveto",min:2,stackClearing:!0},{id:"hmoveto",min:1,stackClearing:!0},{id:"vstemhm",min:2,stackClearing:!0,stem:!0},{id:"rcurveline",min:8,resetStack:!0},{id:"rlinecurve",min:8,resetStack:!0},{id:"vvcurveto",min:4,resetStack:!0},{id:"hhcurveto",min:4,resetStack:!0},null,{id:"callgsubr",min:1,undefStack:!0},{id:"vhcurveto",min:4,resetStack:!0},{id:"hvcurveto",min:4,resetStack:!0}],$r=[null,null,null,{id:"and",min:2,stackDelta:-1},{id:"or",min:2,stackDelta:-1},{id:"not",min:1,sta\
+ckDelta:0},null,null,null,{id:"abs",min:1,stackDelta:0},{id:"add",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]+e[t-1]}},{id:"sub",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]-e[t-1]}},{id:"div",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]/e[t-1]}},null,{id:"neg",min:1,stackDelta:0,stackFn(e,t){e[t-1]=-e[t-1]}},{id:"eq",min:2,stackDelta:-1},null,null,{id:"drop",min:1,stackDelta:-1},null,{id:"put",min:2,stackDelta:-2},{id:"get",min:1,stackDelta:0},{id:"ifelse",min:4,stackDelta:-3},{id:"rando\
+m",min:0,stackDelta:1},{id:"mul",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]*e[t-1]}},null,{id:"sqrt",min:1,stackDelta:0},{id:"dup",min:1,stackDelta:1},{id:"exch",min:2,stackDelta:0},{id:"index",min:2,stackDelta:0},{id:"roll",min:3,stackDelta:-2},null,null,null,{id:"hflex",min:7,resetStack:!0},{id:"flex",min:13,resetStack:!0},{id:"hflex1",min:9,resetStack:!0},{id:"flex1",min:11,resetStack:!0}];class CFFParser{constructor(e,t,a){this.bytes=e.getBytes();this.properties=t;this.seacAnalysisEnable\
+d=!!a}parse(){const e=this.properties,t=new CFF;this.cff=t;const a=this.parseHeader(),r=this.parseIndex(a.endPos),i=this.parseIndex(r.endPos),n=this.parseIndex(i.endPos),s=this.parseIndex(n.endPos),o=this.parseDict(i.obj.get(0)),c=this.createDict(CFFTopDict,o,t.strings);t.header=a.obj;t.names=this.parseNameIndex(r.obj);t.strings=this.parseStringIndex(n.obj);t.topDict=c;t.globalSubrIndex=s.obj;this.parsePrivateDict(t.topDict);t.isCIDFont=c.hasName("ROS");const l=c.getByName("CharStrings"),h=this.\
+parseIndex(l).obj,u=c.getByName("FontMatrix");u&&(e.fontMatrix=u);const d=c.getByName("FontBBox");if(d){e.ascent=Math.max(d[3],d[1]);e.descent=Math.min(d[1],d[3]);e.ascentScaled=!0}let f,g;if(t.isCIDFont){const e=this.parseIndex(c.getByName("FDArray")).obj;for(let a=0,r=e.count;a<r;++a){const r=e.get(a),i=this.createDict(CFFTopDict,this.parseDict(r),t.strings);this.parsePrivateDict(i);t.fdArray.push(i)}g=null;f=this.parseCharsets(c.getByName("charset"),h.count,t.strings,!0);t.fdSelect=this.parse\
+FDSelect(c.getByName("FDSelect"),h.count)}else{f=this.parseCharsets(c.getByName("charset"),h.count,t.strings,!1);g=this.parseEncoding(c.getByName("Encoding"),e,t.strings,f.charset)}t.charset=f;t.encoding=g;const p=this.parseCharStrings({charStrings:h,localSubrIndex:c.privateDict.subrsIndex,globalSubrIndex:s.obj,fdSelect:t.fdSelect,fdArray:t.fdArray,privateDict:c.privateDict});t.charStrings=p.charStrings;t.seacs=p.seacs;t.widths=p.widths;return t}parseHeader(){let e=this.bytes;const t=e.length;le\
+t a=0;for(;a<t&&1!==e[a];)++a;if(a>=t)throw new FormatError("Invalid CFF header");if(0!==a){info("cff data is shifted");e=e.subarray(a);this.bytes=e}const r=e[0],i=e[1],n=e[2],s=e[3];return{obj:new CFFHeader(r,i,n,s),endPos:n}}parseDict(e){let t=0;function parseOperand(){let a=e[t++];if(30===a)return function parseFloatOperand(){let a="";const r=15,i=["0","1","2","3","4","5","6","7","8","9",".","E","E-",null,"-"],n=e.length;for(;t<n;){const n=e[t++],s=n>>4,o=15&n;if(s===r)break;a+=i[s];if(o===r)\
+break;a+=i[o]}return parseFloat(a)}();if(28===a){a=readInt16(e,t);t+=2;return a}if(29===a){a=e[t++];a=a<<8|e[t++];a=a<<8|e[t++];a=a<<8|e[t++];return a}if(a>=32&&a<=246)return a-139;if(a>=247&&a<=250)return 256*(a-247)+e[t++]+108;if(a>=251&&a<=254)return-256*(a-251)-e[t++]-108;warn(\'CFFParser_parseDict: "\'+a+\'" is a reserved command.\');return NaN}let a=[];const r=[];t=0;const i=e.length;for(;t<i;){let i=e[t];if(i<=21){12===i&&(i=i<<8|e[++t]);r.push([i,a]);a=[];++t}else a.push(parseOperand())}retu\
+rn r}parseIndex(e){const t=new CFFIndex,a=this.bytes,r=a[e++]<<8|a[e++],i=[];let n,s,o=e;if(0!==r){const t=a[e++],c=e+(r+1)*t-1;for(n=0,s=r+1;n<s;++n){let r=0;for(let i=0;i<t;++i){r<<=8;r+=a[e++]}i.push(c+r)}o=i[r]}for(n=0,s=i.length-1;n<s;++n){const e=i[n],r=i[n+1];t.add(a.subarray(e,r))}return{obj:t,endPos:o}}parseNameIndex(e){const t=[];for(let a=0,r=e.count;a<r;++a){const r=e.get(a);t.push(bytesToString(r))}return t}parseStringIndex(e){const t=new CFFStrings;for(let a=0,r=e.count;a<r;++a){co\
+nst r=e.get(a);t.add(bytesToString(r))}return t}createDict(e,t,a){const r=new e(a);for(const[e,a]of t)r.setByKey(e,a);return r}parseCharString(e,t,a,r){if(!t||e.callDepth>10)return!1;let i=e.stackSize;const n=e.stack;let s=t.length;for(let o=0;o<s;){const c=t[o++];let l=null;if(12===c){const e=t[o++];if(0===e){t[o-2]=139;t[o-1]=22;i=0}else l=$r[e]}else if(28===c){n[i]=readInt16(t,o);o+=2;i++}else if(14===c){if(i>=4){i-=4;if(this.seacAnalysisEnabled){e.seac=n.slice(i,i+4);return!1}}l=zr[c]}else i\
+f(c>=32&&c<=246){n[i]=c-139;i++}else if(c>=247&&c<=254){n[i]=c<251?(c-247<<8)+t[o]+108:-(c-251<<8)-t[o]-108;o++;i++}else if(255===c){n[i]=(t[o]<<24|t[o+1]<<16|t[o+2]<<8|t[o+3])/65536;o+=4;i++}else if(19===c||20===c){e.hints+=i>>1;if(0===e.hints){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}o+=e.hints+7>>3;i%=2;l=zr[c]}else{if(10===c||29===c){const t=10===c?a:r;if(!t){l=zr[c];warn("Missing subrsIndex for "+l.id);return!1}let s=32768;t.count<1240?s=107:t.count<33900&&(s=1131);const o=n[--i]+s;if(o<0|\
+|o>=t.count||isNaN(o)){l=zr[c];warn("Out of bounds subrIndex for "+l.id);return!1}e.stackSize=i;e.callDepth++;if(!this.parseCharString(e,t.get(o),a,r))return!1;e.callDepth--;i=e.stackSize;continue}if(11===c){e.stackSize=i;return!0}if(0===c&&o===t.length){t[o-1]=14;l=zr[14]}else{if(9===c){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}l=zr[c]}}if(l){if(l.stem){e.hints+=i>>1;if(3===c||23===c)e.hasVStems=!0;else if(e.hasVStems&&(1===c||18===c)){warn("CFF stem hints are in wrong order");t[o-1]=1===c?3:23\
+}}if("min"in l&&!e.undefStack&&i<l.min){warn("Not enough parameters for "+l.id+"; actual: "+i+", expected: "+l.min);if(0===i){t[o-1]=14;return!0}return!1}if(e.firstStackClearing&&l.stackClearing){e.firstStackClearing=!1;i-=l.min;i>=2&&l.stem?i%=2:i>1&&warn("Found too many parameters for stack-clearing command");i>0&&(e.width=n[i-1])}if("stackDelta"in l){"stackFn"in l&&l.stackFn(n,i);i+=l.stackDelta}else if(l.stackClearing)i=0;else if(l.resetStack){i=0;e.undefStack=!1}else if(l.undefStack){i=0;e.\
+undefStack=!0;e.firstStackClearing=!1}}}s<t.length&&t.fill(14,s);e.stackSize=i;return!0}parseCharStrings({charStrings:e,localSubrIndex:t,globalSubrIndex:a,fdSelect:r,fdArray:i,privateDict:n}){const s=[],o=[],c=e.count;for(let l=0;l<c;l++){const c=e.get(l),h={callDepth:0,stackSize:0,stack:[],undefStack:!0,hints:0,firstStackClearing:!0,seac:null,width:null,hasVStems:!1};let u=!0,d=null,f=n;if(r&&i.length){const e=r.getFDIndex(l);if(-1===e){warn("Glyph index is not in fd select.");u=!1}if(e>=i.leng\
+th){warn("Invalid fd index for glyph index.");u=!1}if(u){f=i[e].privateDict;d=f.subrsIndex}}else t&&(d=t);u&&(u=this.parseCharString(h,c,d,a));if(null!==h.width){const e=f.getByName("nominalWidthX");o[l]=e+h.width}else{const e=f.getByName("defaultWidthX");o[l]=e}null!==h.seac&&(s[l]=h.seac);u||e.set(l,new Uint8Array([14]))}return{charStrings:e,seacs:s,widths:o}}emptyPrivateDictionary(e){const t=this.createDict(CFFPrivateDict,[],e.strings);e.setByKey(18,[0,0]);e.privateDict=t}parsePrivateDict(e){\
+if(!e.hasName("Private")){this.emptyPrivateDictionary(e);return}const t=e.getByName("Private");if(!Array.isArray(t)||2!==t.length){e.removeByName("Private");return}const a=t[0],r=t[1];if(0===a||r>=this.bytes.length){this.emptyPrivateDictionary(e);return}const i=r+a,n=this.bytes.subarray(r,i),s=this.parseDict(n),o=this.createDict(CFFPrivateDict,s,e.strings);e.privateDict=o;0===o.getByName("ExpansionFactor")&&o.setByName("ExpansionFactor",.06);if(!o.getByName("Subrs"))return;const c=o.getByName("S\
+ubrs"),l=r+c;if(0===c||l>=this.bytes.length){this.emptyPrivateDictionary(e);return}const h=this.parseIndex(l);o.subrsIndex=h.obj}parseCharsets(e,t,a,r){if(0===e)return new CFFCharset(!0,Kr.ISO_ADOBE,Ur);if(1===e)return new CFFCharset(!0,Kr.EXPERT,Xr);if(2===e)return new CFFCharset(!0,Kr.EXPERT_SUBSET,qr);const i=this.bytes,n=e,s=i[e++],o=[r?0:".notdef"];let c,l,h;t-=1;switch(s){case 0:for(h=0;h<t;h++){c=i[e++]<<8|i[e++];o.push(r?c:a.get(c))}break;case 1:for(;o.length<=t;){c=i[e++]<<8|i[e++];l=i[\
+e++];for(h=0;h<=l;h++)o.push(r?c++:a.get(c++))}break;case 2:for(;o.length<=t;){c=i[e++]<<8|i[e++];l=i[e++]<<8|i[e++];for(h=0;h<=l;h++)o.push(r?c++:a.get(c++))}break;default:throw new FormatError("Unknown charset format")}const u=e,d=i.subarray(n,u);return new CFFCharset(!1,s,o,d)}parseEncoding(e,t,a,r){const i=Object.create(null),n=this.bytes;let s,o,c,l=!1,h=null;if(0===e||1===e){l=!0;s=e;const t=e?wr:Ar;for(o=0,c=r.length;o<c;o++){const e=t.indexOf(r[o]);-1!==e&&(i[e]=o)}}else{const t=e;s=n[e+\
++];switch(127&s){case 0:const t=n[e++];for(o=1;o<=t;o++)i[n[e++]]=o;break;case 1:const a=n[e++];let r=1;for(o=0;o<a;o++){const t=n[e++],a=n[e++];for(let e=t;e<=t+a;e++)i[e]=r++}break;default:throw new FormatError(`Unknown encoding format: ${s} in CFF`)}const c=e;if(128&s){n[t]&=127;!function readSupplement(){const t=n[e++];for(o=0;o<t;o++){const t=n[e++],s=(n[e++]<<8)+(255&n[e++]);i[t]=r.indexOf(a.get(s))}}()}h=n.subarray(t,c)}s&=127;return new CFFEncoding(l,s,i,h)}parseFDSelect(e,t){const a=thi\
+s.bytes,r=a[e++],i=[];let n;switch(r){case 0:for(n=0;n<t;++n){const t=a[e++];i.push(t)}break;case 3:const s=a[e++]<<8|a[e++];for(n=0;n<s;++n){let t=a[e++]<<8|a[e++];if(0===n&&0!==t){warn("parseFDSelect: The first range must have a first GID of 0 -- trying to recover.");t=0}const r=a[e++],s=a[e]<<8|a[e+1];for(let e=t;e<s;++e)i.push(r)}e+=2;break;default:throw new FormatError(`parseFDSelect: Unknown format "${r}".`)}if(i.length!==t)throw new FormatError("parseFDSelect: Invalid font data.");return \
+new CFFFDSelect(r,i)}}class CFF{constructor(){this.header=null;this.names=[];this.topDict=null;this.strings=new CFFStrings;this.globalSubrIndex=null;this.encoding=null;this.charset=null;this.charStrings=null;this.fdArray=[];this.fdSelect=null;this.isCIDFont=!1}duplicateFirstGlyph(){if(this.charStrings.count>=65535){warn("Not enough space in charstrings to duplicate first glyph.");return}const e=this.charStrings.get(0);this.charStrings.add(e);this.isCIDFont&&this.fdSelect.fdSelect.push(this.fdSel\
+ect.fdSelect[0])}hasGlyphId(e){if(e<0||e>=this.charStrings.count)return!1;return this.charStrings.get(e).length>0}}class CFFHeader{constructor(e,t,a,r){this.major=e;this.minor=t;this.hdrSize=a;this.offSize=r}}class CFFStrings{constructor(){this.strings=[]}get(e){return e>=0&&e<=390?Hr[e]:e-Wr<=this.strings.length?this.strings[e-Wr]:Hr[0]}getSID(e){let t=Hr.indexOf(e);if(-1!==t)return t;t=this.strings.indexOf(e);return-1!==t?t+Wr:-1}add(e){this.strings.push(e)}get count(){return this.strings.leng\
+th}}class CFFIndex{constructor(){this.objects=[];this.length=0}add(e){this.length+=e.length;this.objects.push(e)}set(e,t){this.length+=t.length-this.objects[e].length;this.objects[e]=t}get(e){return this.objects[e]}get count(){return this.objects.length}}class CFFDict{constructor(e,t){this.keyToNameMap=e.keyToNameMap;this.nameToKeyMap=e.nameToKeyMap;this.defaults=e.defaults;this.types=e.types;this.opcodes=e.opcodes;this.order=e.order;this.strings=t;this.values=Object.create(null)}setByKey(e,t){i\
+f(!(e in this.keyToNameMap))return!1;if(0===t.length)return!0;for(const a of t)if(isNaN(a)){warn(`Invalid CFFDict value: "${t}" for key "${e}".`);return!0}const a=this.types[e];"num"!==a&&"sid"!==a&&"offset"!==a||(t=t[0]);this.values[e]=t;return!0}setByName(e,t){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name "${e}"`);this.values[this.nameToKeyMap[e]]=t}hasName(e){return this.nameToKeyMap[e]in this.values}getByName(e){if(!(e in this.nameToKeyMap))throw new FormatError\
+(`Invalid dictionary name ${e}"`);const t=this.nameToKeyMap[e];return t in this.values?this.values[t]:this.defaults[t]}removeByName(e){delete this.values[this.nameToKeyMap[e]]}static createTables(e){const t={keyToNameMap:{},nameToKeyMap:{},defaults:{},types:{},opcodes:{},order:[]};for(const a of e){const e=Array.isArray(a[0])?(a[0][0]<<8)+a[0][1]:a[0];t.keyToNameMap[e]=a[1];t.nameToKeyMap[a[1]]=e;t.types[e]=a[2];t.defaults[e]=a[3];t.opcodes[e]=Array.isArray(a[0])?a[0]:[a[0]];t.order.push(e)}retu\
+rn t}}const Gr=[[[12,30],"ROS",["sid","sid","num"],null],[[12,20],"SyntheticBase","num",null],[0,"version","sid",null],[1,"Notice","sid",null],[[12,0],"Copyright","sid",null],[2,"FullName","sid",null],[3,"FamilyName","sid",null],[4,"Weight","sid",null],[[12,1],"isFixedPitch","num",0],[[12,2],"ItalicAngle","num",0],[[12,3],"UnderlinePosition","num",-100],[[12,4],"UnderlineThickness","num",50],[[12,5],"PaintType","num",0],[[12,6],"CharstringType","num",2],[[12,7],"FontMatrix",["num","num","num","n\
+um","num","num"],[.001,0,0,.001,0,0]],[13,"UniqueID","num",null],[5,"FontBBox",["num","num","num","num"],[0,0,0,0]],[[12,8],"StrokeWidth","num",0],[14,"XUID","array",null],[15,"charset","offset",0],[16,"Encoding","offset",0],[17,"CharStrings","offset",0],[18,"Private",["offset","offset"],null],[[12,21],"PostScript","sid",null],[[12,22],"BaseFontName","sid",null],[[12,23],"BaseFontBlend","delta",null],[[12,31],"CIDFontVersion","num",0],[[12,32],"CIDFontRevision","num",0],[[12,33],"CIDFontType","n\
+um",0],[[12,34],"CIDCount","num",8720],[[12,35],"UIDBase","num",null],[[12,37],"FDSelect","offset",null],[[12,36],"FDArray","offset",null],[[12,38],"FontName","sid",null]];class CFFTopDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Gr))}constructor(e){super(CFFTopDict.tables,e);this.privateDict=null}}const Vr=[[6,"BlueValues","delta",null],[7,"OtherBlues","delta",null],[8,"FamilyBlues","delta",null],[9,"FamilyOtherBlues","delta",null],[[12,9],"BlueScale","n\
+um",.039625],[[12,10],"BlueShift","num",7],[[12,11],"BlueFuzz","num",1],[10,"StdHW","num",null],[11,"StdVW","num",null],[[12,12],"StemSnapH","delta",null],[[12,13],"StemSnapV","delta",null],[[12,14],"ForceBold","num",0],[[12,17],"LanguageGroup","num",0],[[12,18],"ExpansionFactor","num",.06],[[12,19],"initialRandomSeed","num",0],[20,"defaultWidthX","num",0],[21,"nominalWidthX","num",0],[19,"Subrs","offset",null]];class CFFPrivateDict extends CFFDict{static get tables(){return shadow(this,"tables"\
+,this.createTables(Vr))}constructor(e){super(CFFPrivateDict.tables,e);this.subrsIndex=null}}const Kr={ISO_ADOBE:0,EXPERT:1,EXPERT_SUBSET:2};class CFFCharset{constructor(e,t,a,r){this.predefined=e;this.format=t;this.charset=a;this.raw=r}}class CFFEncoding{constructor(e,t,a,r){this.predefined=e;this.format=t;this.encoding=a;this.raw=r}}class CFFFDSelect{constructor(e,t){this.format=e;this.fdSelect=t}getFDIndex(e){return e<0||e>=this.fdSelect.length?-1:this.fdSelect[e]}}class CFFOffsetTracker{const\
+ructor(){this.offsets=Object.create(null)}isTracking(e){return e in this.offsets}track(e,t){if(e in this.offsets)throw new FormatError(`Already tracking location of ${e}`);this.offsets[e]=t}offset(e){for(const t in this.offsets)this.offsets[t]+=e}setEntryLocation(e,t,a){if(!(e in this.offsets))throw new FormatError(`Not tracking location of ${e}`);const r=a.data,i=this.offsets[e];for(let e=0,a=t.length;e<a;++e){const a=5*e+i,n=a+1,s=a+2,o=a+3,c=a+4;if(29!==r[a]||0!==r[n]||0!==r[s]||0!==r[o]||0!=\
+=r[c])throw new FormatError("writing to an offset that is not empty");const l=t[e];r[a]=29;r[n]=l>>24&255;r[s]=l>>16&255;r[o]=l>>8&255;r[c]=255&l}}}class CFFCompiler{constructor(e){this.cff=e}compile(){const e=this.cff,t={data:[],length:0,add(e){try{this.data.push(...e)}catch{this.data=this.data.concat(e)}this.length=this.data.length}},a=this.compileHeader(e.header);t.add(a);const r=this.compileNameIndex(e.names);t.add(r);if(e.isCIDFont&&e.topDict.hasName("FontMatrix")){const t=e.topDict.getByNa\
+me("FontMatrix");e.topDict.removeByName("FontMatrix");for(const a of e.fdArray){let e=t.slice(0);a.hasName("FontMatrix")&&(e=Util.transform(e,a.getByName("FontMatrix")));a.setByName("FontMatrix",e)}}const i=e.topDict.getByName("XUID");i?.length>16&&e.topDict.removeByName("XUID");e.topDict.setByName("charset",0);let n=this.compileTopDicts([e.topDict],t.length,e.isCIDFont);t.add(n.output);const s=n.trackers[0],o=this.compileStringIndex(e.strings.strings);t.add(o);const c=this.compileIndex(e.global\
+SubrIndex);t.add(c);if(e.encoding&&e.topDict.hasName("Encoding"))if(e.encoding.predefined)s.setEntryLocation("Encoding",[e.encoding.format],t);else{const a=this.compileEncoding(e.encoding);s.setEntryLocation("Encoding",[t.length],t);t.add(a)}const l=this.compileCharset(e.charset,e.charStrings.count,e.strings,e.isCIDFont);s.setEntryLocation("charset",[t.length],t);t.add(l);const h=this.compileCharStrings(e.charStrings);s.setEntryLocation("CharStrings",[t.length],t);t.add(h);if(e.isCIDFont){s.setE\
+ntryLocation("FDSelect",[t.length],t);const a=this.compileFDSelect(e.fdSelect);t.add(a);n=this.compileTopDicts(e.fdArray,t.length,!0);s.setEntryLocation("FDArray",[t.length],t);t.add(n.output);const r=n.trackers;this.compilePrivateDicts(e.fdArray,r,t)}this.compilePrivateDicts([e.topDict],[s],t);t.add([0]);return t.data}encodeNumber(e){return Number.isInteger(e)?this.encodeInteger(e):this.encodeFloat(e)}static get EncodeFloatRegExp(){return shadow(this,"EncodeFloatRegExp",/\\.(\\d*?)(?:9{5,20}|0{5,\
+20})\\d{0,2}(?:e(.+)|$)/)}encodeFloat(e){let t=e.toString();const a=CFFCompiler.EncodeFloatRegExp.exec(t);if(a){const r=parseFloat("1e"+((a[2]?+a[2]:0)+a[1].length));t=(Math.round(e*r)/r).toString()}let r,i,n="";for(r=0,i=t.length;r<i;++r){const e=t[r];n+="e"===e?"-"===t[++r]?"c":"b":"."===e?"a":"-"===e?"e":e}n+=1&n.length?"f":"ff";const s=[30];for(r=0,i=n.length;r<i;r+=2)s.push(parseInt(n.substring(r,r+2),16));return s}encodeInteger(e){let t;t=e>=-107&&e<=107?[e+139]:e>=108&&e<=1131?[247+((e-=10\
+8)>>8),255&e]:e>=-1131&&e<=-108?[251+((e=-e-108)>>8),255&e]:e>=-32768&&e<=32767?[28,e>>8&255,255&e]:[29,e>>24&255,e>>16&255,e>>8&255,255&e];return t}compileHeader(e){return[e.major,e.minor,4,e.offSize]}compileNameIndex(e){const t=new CFFIndex;for(const a of e){const e=Math.min(a.length,127);let r=new Array(e);for(let t=0;t<e;t++){let e=a[t];(e<"!"||e>"~"||"["===e||"]"===e||"("===e||")"===e||"{"===e||"}"===e||"<"===e||">"===e||"/"===e||"%"===e)&&(e="_");r[t]=e}r=r.join("");""===r&&(r="Bad_Font_Na\
+me");t.add(stringToBytes(r))}return this.compileIndex(t)}compileTopDicts(e,t,a){const r=[];let i=new CFFIndex;for(const n of e){if(a){n.removeByName("CIDFontVersion");n.removeByName("CIDFontRevision");n.removeByName("CIDFontType");n.removeByName("CIDCount");n.removeByName("UIDBase")}const e=new CFFOffsetTracker,s=this.compileDict(n,e);r.push(e);i.add(s);e.offset(t)}i=this.compileIndex(i,r);return{trackers:r,output:i}}compilePrivateDicts(e,t,a){for(let r=0,i=e.length;r<i;++r){const i=e[r],n=i.pri\
+vateDict;if(!n||!i.hasName("Private"))throw new FormatError("There must be a private dictionary.");const s=new CFFOffsetTracker,o=this.compileDict(n,s);let c=a.length;s.offset(c);o.length||(c=0);t[r].setEntryLocation("Private",[o.length,c],a);a.add(o);if(n.subrsIndex&&n.hasName("Subrs")){const e=this.compileIndex(n.subrsIndex);s.setEntryLocation("Subrs",[o.length],a);a.add(e)}}}compileDict(e,t){const a=[];for(const r of e.order){if(!(r in e.values))continue;let i=e.values[r],n=e.types[r];Array.i\
+sArray(n)||(n=[n]);Array.isArray(i)||(i=[i]);if(0!==i.length){for(let s=0,o=n.length;s<o;++s){const o=n[s],c=i[s];switch(o){case"num":case"sid":a.push(...this.encodeNumber(c));break;case"offset":const n=e.keyToNameMap[r];t.isTracking(n)||t.track(n,a.length);a.push(29,0,0,0,0);break;case"array":case"delta":a.push(...this.encodeNumber(c));for(let e=1,t=i.length;e<t;++e)a.push(...this.encodeNumber(i[e]));break;default:throw new FormatError(`Unknown data type of ${o}`)}}a.push(...e.opcodes[r])}}retu\
+rn a}compileStringIndex(e){const t=new CFFIndex;for(const a of e)t.add(stringToBytes(a));return this.compileIndex(t)}compileCharStrings(e){const t=new CFFIndex;for(let a=0;a<e.count;a++){const r=e.get(a);0!==r.length?t.add(r):t.add(new Uint8Array([139,14]))}return this.compileIndex(t)}compileCharset(e,t,a,r){let i;const n=t-1;if(r){const e=n-1;i=new Uint8Array([2,0,1,e>>8&255,255&e])}else{i=new Uint8Array(1+2*n);i[0]=0;let t=0;const r=e.charset.length;let s=!1;for(let n=1;n<i.length;n+=2){let o=\
+0;if(t<r){const r=e.charset[t++];o=a.getSID(r);if(-1===o){o=0;if(!s){s=!0;warn(`Couldn\'t find ${r} in CFF strings`)}}}i[n]=o>>8&255;i[n+1]=255&o}}return this.compileTypedArray(i)}compileEncoding(e){return this.compileTypedArray(e.raw)}compileFDSelect(e){const t=e.format;let a,r;switch(t){case 0:a=new Uint8Array(1+e.fdSelect.length);a[0]=t;for(r=0;r<e.fdSelect.length;r++)a[r+1]=e.fdSelect[r];break;case 3:const i=0;let n=e.fdSelect[0];const s=[t,0,0,i>>8&255,255&i,n];for(r=1;r<e.fdSelect.length;r+\
++){const t=e.fdSelect[r];if(t!==n){s.push(r>>8&255,255&r,t);n=t}}const o=(s.length-3)/3;s[1]=o>>8&255;s[2]=255&o;s.push(r>>8&255,255&r);a=new Uint8Array(s)}return this.compileTypedArray(a)}compileTypedArray(e){return Array.from(e)}compileIndex(e,t=[]){const a=e.objects,r=a.length;if(0===r)return[0,0];const i=[r>>8&255,255&r];let n,s,o=1;for(n=0;n<r;++n)o+=a[n].length;s=o<256?1:o<65536?2:o<16777216?3:4;i.push(s);let c=1;for(n=0;n<r+1;n++){1===s?i.push(255&c):2===s?i.push(c>>8&255,255&c):3===s?i.p\
+ush(c>>16&255,c>>8&255,255&c):i.push(c>>>24&255,c>>16&255,c>>8&255,255&c);a[n]&&(c+=a[n].length)}for(n=0;n<r;n++){t[n]&&t[n].offset(i.length);i.push(...a[n])}return i}}const Jr=getLookupTableFactory((function(e){e["Times-Roman"]="Times-Roman";e.Helvetica="Helvetica";e.Courier="Courier";e.Symbol="Symbol";e["Times-Bold"]="Times-Bold";e["Helvetica-Bold"]="Helvetica-Bold";e["Courier-Bold"]="Courier-Bold";e.ZapfDingbats="ZapfDingbats";e["Times-Italic"]="Times-Italic";e["Helvetica-Oblique"]="Helvetica\
+-Oblique";e["Courier-Oblique"]="Courier-Oblique";e["Times-BoldItalic"]="Times-BoldItalic";e["Helvetica-BoldOblique"]="Helvetica-BoldOblique";e["Courier-BoldOblique"]="Courier-BoldOblique";e.ArialNarrow="Helvetica";e["ArialNarrow-Bold"]="Helvetica-Bold";e["ArialNarrow-BoldItalic"]="Helvetica-BoldOblique";e["ArialNarrow-Italic"]="Helvetica-Oblique";e.ArialBlack="Helvetica";e["ArialBlack-Bold"]="Helvetica-Bold";e["ArialBlack-BoldItalic"]="Helvetica-BoldOblique";e["ArialBlack-Italic"]="Helvetica-Obl\
+ique";e["Arial-Black"]="Helvetica";e["Arial-Black-Bold"]="Helvetica-Bold";e["Arial-Black-BoldItalic"]="Helvetica-BoldOblique";e["Arial-Black-Italic"]="Helvetica-Oblique";e.Arial="Helvetica";e["Arial-Bold"]="Helvetica-Bold";e["Arial-BoldItalic"]="Helvetica-BoldOblique";e["Arial-Italic"]="Helvetica-Oblique";e.ArialMT="Helvetica";e["Arial-BoldItalicMT"]="Helvetica-BoldOblique";e["Arial-BoldMT"]="Helvetica-Bold";e["Arial-ItalicMT"]="Helvetica-Oblique";e["Arial-BoldItalicMT-BoldItalic"]="Helvetica-Bo\
+ldOblique";e["Arial-BoldMT-Bold"]="Helvetica-Bold";e["Arial-ItalicMT-Italic"]="Helvetica-Oblique";e.ArialUnicodeMS="Helvetica";e["ArialUnicodeMS-Bold"]="Helvetica-Bold";e["ArialUnicodeMS-BoldItalic"]="Helvetica-BoldOblique";e["ArialUnicodeMS-Italic"]="Helvetica-Oblique";e["Courier-BoldItalic"]="Courier-BoldOblique";e["Courier-Italic"]="Courier-Oblique";e.CourierNew="Courier";e["CourierNew-Bold"]="Courier-Bold";e["CourierNew-BoldItalic"]="Courier-BoldOblique";e["CourierNew-Italic"]="Courier-Obliq\
+ue";e["CourierNewPS-BoldItalicMT"]="Courier-BoldOblique";e["CourierNewPS-BoldMT"]="Courier-Bold";e["CourierNewPS-ItalicMT"]="Courier-Oblique";e.CourierNewPSMT="Courier";e["Helvetica-BoldItalic"]="Helvetica-BoldOblique";e["Helvetica-Italic"]="Helvetica-Oblique";e["HelveticaLTStd-Bold"]="Helvetica-Bold";e["Symbol-Bold"]="Symbol";e["Symbol-BoldItalic"]="Symbol";e["Symbol-Italic"]="Symbol";e.TimesNewRoman="Times-Roman";e["TimesNewRoman-Bold"]="Times-Bold";e["TimesNewRoman-BoldItalic"]="Times-BoldIta\
+lic";e["TimesNewRoman-Italic"]="Times-Italic";e.TimesNewRomanPS="Times-Roman";e["TimesNewRomanPS-Bold"]="Times-Bold";e["TimesNewRomanPS-BoldItalic"]="Times-BoldItalic";e["TimesNewRomanPS-BoldItalicMT"]="Times-BoldItalic";e["TimesNewRomanPS-BoldMT"]="Times-Bold";e["TimesNewRomanPS-Italic"]="Times-Italic";e["TimesNewRomanPS-ItalicMT"]="Times-Italic";e.TimesNewRomanPSMT="Times-Roman";e["TimesNewRomanPSMT-Bold"]="Times-Bold";e["TimesNewRomanPSMT-BoldItalic"]="Times-BoldItalic";e["TimesNewRomanPSMT-I\
+talic"]="Times-Italic"})),Yr=getLookupTableFactory((function(e){e.Courier="FoxitFixed.pfb";e["Courier-Bold"]="FoxitFixedBold.pfb";e["Courier-BoldOblique"]="FoxitFixedBoldItalic.pfb";e["Courier-Oblique"]="FoxitFixedItalic.pfb";e.Helvetica="LiberationSans-Regular.ttf";e["Helvetica-Bold"]="LiberationSans-Bold.ttf";e["Helvetica-BoldOblique"]="LiberationSans-BoldItalic.ttf";e["Helvetica-Oblique"]="LiberationSans-Italic.ttf";e["Times-Roman"]="FoxitSerif.pfb";e["Times-Bold"]="FoxitSerifBold.pfb";e["Tim\
+es-BoldItalic"]="FoxitSerifBoldItalic.pfb";e["Times-Italic"]="FoxitSerifItalic.pfb";e.Symbol="FoxitSymbol.pfb";e.ZapfDingbats="FoxitDingbats.pfb";e["LiberationSans-Regular"]="LiberationSans-Regular.ttf";e["LiberationSans-Bold"]="LiberationSans-Bold.ttf";e["LiberationSans-Italic"]="LiberationSans-Italic.ttf";e["LiberationSans-BoldItalic"]="LiberationSans-BoldItalic.ttf"})),Zr=getLookupTableFactory((function(e){e.Calibri="Helvetica";e["Calibri-Bold"]="Helvetica-Bold";e["Calibri-BoldItalic"]="Helve\
+tica-BoldOblique";e["Calibri-Italic"]="Helvetica-Oblique";e.CenturyGothic="Helvetica";e["CenturyGothic-Bold"]="Helvetica-Bold";e["CenturyGothic-BoldItalic"]="Helvetica-BoldOblique";e["CenturyGothic-Italic"]="Helvetica-Oblique";e.ComicSansMS="Comic Sans MS";e["ComicSansMS-Bold"]="Comic Sans MS-Bold";e["ComicSansMS-BoldItalic"]="Comic Sans MS-BoldItalic";e["ComicSansMS-Italic"]="Comic Sans MS-Italic";e.GillSansMT="Helvetica";e["GillSansMT-Bold"]="Helvetica-Bold";e["GillSansMT-BoldItalic"]="Helveti\
+ca-BoldOblique";e["GillSansMT-Italic"]="Helvetica-Oblique";e.Impact="Helvetica";e["ItcSymbol-Bold"]="Helvetica-Bold";e["ItcSymbol-BoldItalic"]="Helvetica-BoldOblique";e["ItcSymbol-Book"]="Helvetica";e["ItcSymbol-BookItalic"]="Helvetica-Oblique";e["ItcSymbol-Medium"]="Helvetica";e["ItcSymbol-MediumItalic"]="Helvetica-Oblique";e.LucidaConsole="Courier";e["LucidaConsole-Bold"]="Courier-Bold";e["LucidaConsole-BoldItalic"]="Courier-BoldOblique";e["LucidaConsole-Italic"]="Courier-Oblique";e["LucidaSan\
+s-Demi"]="Helvetica-Bold";e["MS-Gothic"]="MS Gothic";e["MS-Gothic-Bold"]="MS Gothic-Bold";e["MS-Gothic-BoldItalic"]="MS Gothic-BoldItalic";e["MS-Gothic-Italic"]="MS Gothic-Italic";e["MS-Mincho"]="MS Mincho";e["MS-Mincho-Bold"]="MS Mincho-Bold";e["MS-Mincho-BoldItalic"]="MS Mincho-BoldItalic";e["MS-Mincho-Italic"]="MS Mincho-Italic";e["MS-PGothic"]="MS PGothic";e["MS-PGothic-Bold"]="MS PGothic-Bold";e["MS-PGothic-BoldItalic"]="MS PGothic-BoldItalic";e["MS-PGothic-Italic"]="MS PGothic-Italic";e["M\
+S-PMincho"]="MS PMincho";e["MS-PMincho-Bold"]="MS PMincho-Bold";e["MS-PMincho-BoldItalic"]="MS PMincho-BoldItalic";e["MS-PMincho-Italic"]="MS PMincho-Italic";e.NuptialScript="Times-Italic";e.SegoeUISymbol="Helvetica"})),Qr=getLookupTableFactory((function(e){e["Adobe Jenson"]=!0;e["Adobe Text"]=!0;e.Albertus=!0;e.Aldus=!0;e.Alexandria=!0;e.Algerian=!0;e["American Typewriter"]=!0;e.Antiqua=!0;e.Apex=!0;e.Arno=!0;e.Aster=!0;e.Aurora=!0;e.Baskerville=!0;e.Bell=!0;e.Bembo=!0;e["Bembo Schoolbook"]=!0;\
+e.Benguiat=!0;e["Berkeley Old Style"]=!0;e["Bernhard Modern"]=!0;e["Berthold City"]=!0;e.Bodoni=!0;e["Bauer Bodoni"]=!0;e["Book Antiqua"]=!0;e.Bookman=!0;e["Bordeaux Roman"]=!0;e["Californian FB"]=!0;e.Calisto=!0;e.Calvert=!0;e.Capitals=!0;e.Cambria=!0;e.Cartier=!0;e.Caslon=!0;e.Catull=!0;e.Centaur=!0;e["Century Old Style"]=!0;e["Century Schoolbook"]=!0;e.Chaparral=!0;e["Charis SIL"]=!0;e.Cheltenham=!0;e["Cholla Slab"]=!0;e.Clarendon=!0;e.Clearface=!0;e.Cochin=!0;e.Colonna=!0;e["Computer Modern"\
+]=!0;e["Concrete Roman"]=!0;e.Constantia=!0;e["Cooper Black"]=!0;e.Corona=!0;e.Ecotype=!0;e.Egyptienne=!0;e.Elephant=!0;e.Excelsior=!0;e.Fairfield=!0;e["FF Scala"]=!0;e.Folkard=!0;e.Footlight=!0;e.FreeSerif=!0;e["Friz Quadrata"]=!0;e.Garamond=!0;e.Gentium=!0;e.Georgia=!0;e.Gloucester=!0;e["Goudy Old Style"]=!0;e["Goudy Schoolbook"]=!0;e["Goudy Pro Font"]=!0;e.Granjon=!0;e["Guardian Egyptian"]=!0;e.Heather=!0;e.Hercules=!0;e["High Tower Text"]=!0;e.Hiroshige=!0;e["Hoefler Text"]=!0;e["Humana Seri\
+f"]=!0;e.Imprint=!0;e["Ionic No. 5"]=!0;e.Janson=!0;e.Joanna=!0;e.Korinna=!0;e.Lexicon=!0;e.LiberationSerif=!0;e["Liberation Serif"]=!0;e["Linux Libertine"]=!0;e.Literaturnaya=!0;e.Lucida=!0;e["Lucida Bright"]=!0;e.Melior=!0;e.Memphis=!0;e.Miller=!0;e.Minion=!0;e.Modern=!0;e["Mona Lisa"]=!0;e["Mrs Eaves"]=!0;e["MS Serif"]=!0;e["Museo Slab"]=!0;e["New York"]=!0;e["Nimbus Roman"]=!0;e["NPS Rawlinson Roadway"]=!0;e.NuptialScript=!0;e.Palatino=!0;e.Perpetua=!0;e.Plantin=!0;e["Plantin Schoolbook"]=!0\
+;e.Playbill=!0;e["Poor Richard"]=!0;e["Rawlinson Roadway"]=!0;e.Renault=!0;e.Requiem=!0;e.Rockwell=!0;e.Roman=!0;e["Rotis Serif"]=!0;e.Sabon=!0;e.Scala=!0;e.Seagull=!0;e.Sistina=!0;e.Souvenir=!0;e.STIX=!0;e["Stone Informal"]=!0;e["Stone Serif"]=!0;e.Sylfaen=!0;e.Times=!0;e.Trajan=!0;e["Trinité"]=!0;e["Trump Mediaeval"]=!0;e.Utopia=!0;e["Vale Type"]=!0;e["Bitstream Vera"]=!0;e["Vera Serif"]=!0;e.Versailles=!0;e.Wanted=!0;e.Weiss=!0;e["Wide Latin"]=!0;e.Windsor=!0;e.XITS=!0})),ei=getLookupTableFac\
+tory((function(e){e.Dingbats=!0;e.Symbol=!0;e.ZapfDingbats=!0;e.Wingdings=!0;e["Wingdings-Bold"]=!0;e["Wingdings-Regular"]=!0})),ti=getLookupTableFactory((function(e){e[2]=10;e[3]=32;e[4]=33;e[5]=34;e[6]=35;e[7]=36;e[8]=37;e[9]=38;e[10]=39;e[11]=40;e[12]=41;e[13]=42;e[14]=43;e[15]=44;e[16]=45;e[17]=46;e[18]=47;e[19]=48;e[20]=49;e[21]=50;e[22]=51;e[23]=52;e[24]=53;e[25]=54;e[26]=55;e[27]=56;e[28]=57;e[29]=58;e[30]=894;e[31]=60;e[32]=61;e[33]=62;e[34]=63;e[35]=64;e[36]=65;e[37]=66;e[38]=67;e[39]=6\
+8;e[40]=69;e[41]=70;e[42]=71;e[43]=72;e[44]=73;e[45]=74;e[46]=75;e[47]=76;e[48]=77;e[49]=78;e[50]=79;e[51]=80;e[52]=81;e[53]=82;e[54]=83;e[55]=84;e[56]=85;e[57]=86;e[58]=87;e[59]=88;e[60]=89;e[61]=90;e[62]=91;e[63]=92;e[64]=93;e[65]=94;e[66]=95;e[67]=96;e[68]=97;e[69]=98;e[70]=99;e[71]=100;e[72]=101;e[73]=102;e[74]=103;e[75]=104;e[76]=105;e[77]=106;e[78]=107;e[79]=108;e[80]=109;e[81]=110;e[82]=111;e[83]=112;e[84]=113;e[85]=114;e[86]=115;e[87]=116;e[88]=117;e[89]=118;e[90]=119;e[91]=120;e[92]=121\
+;e[93]=122;e[94]=123;e[95]=124;e[96]=125;e[97]=126;e[98]=196;e[99]=197;e[100]=199;e[101]=201;e[102]=209;e[103]=214;e[104]=220;e[105]=225;e[106]=224;e[107]=226;e[108]=228;e[109]=227;e[110]=229;e[111]=231;e[112]=233;e[113]=232;e[114]=234;e[115]=235;e[116]=237;e[117]=236;e[118]=238;e[119]=239;e[120]=241;e[121]=243;e[122]=242;e[123]=244;e[124]=246;e[125]=245;e[126]=250;e[127]=249;e[128]=251;e[129]=252;e[130]=8224;e[131]=176;e[132]=162;e[133]=163;e[134]=167;e[135]=8226;e[136]=182;e[137]=223;e[138]=17\
+4;e[139]=169;e[140]=8482;e[141]=180;e[142]=168;e[143]=8800;e[144]=198;e[145]=216;e[146]=8734;e[147]=177;e[148]=8804;e[149]=8805;e[150]=165;e[151]=181;e[152]=8706;e[153]=8721;e[154]=8719;e[156]=8747;e[157]=170;e[158]=186;e[159]=8486;e[160]=230;e[161]=248;e[162]=191;e[163]=161;e[164]=172;e[165]=8730;e[166]=402;e[167]=8776;e[168]=8710;e[169]=171;e[170]=187;e[171]=8230;e[179]=8220;e[180]=8221;e[181]=8216;e[182]=8217;e[200]=193;e[203]=205;e[207]=211;e[210]=218;e[223]=711;e[224]=321;e[225]=322;e[226]=\
+352;e[227]=353;e[228]=381;e[229]=382;e[233]=221;e[234]=253;e[252]=263;e[253]=268;e[254]=269;e[258]=258;e[260]=260;e[261]=261;e[265]=280;e[266]=281;e[267]=282;e[268]=283;e[269]=313;e[275]=323;e[276]=324;e[278]=328;e[283]=344;e[284]=345;e[285]=346;e[286]=347;e[292]=367;e[295]=377;e[296]=378;e[298]=380;e[305]=963;e[306]=964;e[307]=966;e[308]=8215;e[309]=8252;e[310]=8319;e[311]=8359;e[312]=8592;e[313]=8593;e[337]=9552;e[493]=1039;e[494]=1040;e[570]=1040;e[571]=1041;e[572]=1042;e[573]=1043;e[574]=104\
+4;e[575]=1045;e[576]=1046;e[577]=1047;e[578]=1048;e[579]=1049;e[580]=1050;e[581]=1051;e[582]=1052;e[583]=1053;e[584]=1054;e[585]=1055;e[586]=1056;e[587]=1057;e[588]=1058;e[589]=1059;e[590]=1060;e[591]=1061;e[592]=1062;e[593]=1063;e[594]=1064;e[595]=1065;e[596]=1066;e[597]=1067;e[598]=1068;e[599]=1069;e[600]=1070;e[672]=1488;e[673]=1489;e[674]=1490;e[675]=1491;e[676]=1492;e[677]=1493;e[678]=1494;e[679]=1495;e[680]=1496;e[681]=1497;e[682]=1498;e[683]=1499;e[684]=1500;e[685]=1501;e[686]=1502;e[687]\
+=1503;e[688]=1504;e[689]=1505;e[690]=1506;e[691]=1507;e[692]=1508;e[693]=1509;e[694]=1510;e[695]=1511;e[696]=1512;e[697]=1513;e[698]=1514;e[705]=1524;e[706]=8362;e[710]=64288;e[711]=64298;e[759]=1617;e[761]=1776;e[763]=1778;e[775]=1652;e[777]=1764;e[778]=1780;e[779]=1781;e[780]=1782;e[782]=771;e[783]=64726;e[786]=8363;e[788]=8532;e[790]=768;e[791]=769;e[792]=768;e[795]=803;e[797]=64336;e[798]=64337;e[799]=64342;e[800]=64343;e[801]=64344;e[802]=64345;e[803]=64362;e[804]=64363;e[805]=64364;e[2424]\
+=7821;e[2425]=7822;e[2426]=7823;e[2427]=7824;e[2428]=7825;e[2429]=7826;e[2430]=7827;e[2433]=7682;e[2678]=8045;e[2679]=8046;e[2830]=1552;e[2838]=686;e[2840]=751;e[2842]=753;e[2843]=754;e[2844]=755;e[2846]=757;e[2856]=767;e[2857]=848;e[2858]=849;e[2862]=853;e[2863]=854;e[2864]=855;e[2865]=861;e[2866]=862;e[2906]=7460;e[2908]=7462;e[2909]=7463;e[2910]=7464;e[2912]=7466;e[2913]=7467;e[2914]=7468;e[2916]=7470;e[2917]=7471;e[2918]=7472;e[2920]=7474;e[2921]=7475;e[2922]=7476;e[2924]=7478;e[2925]=7479;e\
+[2926]=7480;e[2928]=7482;e[2929]=7483;e[2930]=7484;e[2932]=7486;e[2933]=7487;e[2934]=7488;e[2936]=7490;e[2937]=7491;e[2938]=7492;e[2940]=7494;e[2941]=7495;e[2942]=7496;e[2944]=7498;e[2946]=7500;e[2948]=7502;e[2950]=7504;e[2951]=7505;e[2952]=7506;e[2954]=7508;e[2955]=7509;e[2956]=7510;e[2958]=7512;e[2959]=7513;e[2960]=7514;e[2962]=7516;e[2963]=7517;e[2964]=7518;e[2966]=7520;e[2967]=7521;e[2968]=7522;e[2970]=7524;e[2971]=7525;e[2972]=7526;e[2974]=7528;e[2975]=7529;e[2976]=7530;e[2978]=1537;e[2979]\
+=1538;e[2980]=1539;e[2982]=1549;e[2983]=1551;e[2984]=1552;e[2986]=1554;e[2987]=1555;e[2988]=1556;e[2990]=1623;e[2991]=1624;e[2995]=1775;e[2999]=1791;e[3002]=64290;e[3003]=64291;e[3004]=64292;e[3006]=64294;e[3007]=64295;e[3008]=64296;e[3011]=1900;e[3014]=8223;e[3015]=8244;e[3017]=7532;e[3018]=7533;e[3019]=7534;e[3075]=7590;e[3076]=7591;e[3079]=7594;e[3080]=7595;e[3083]=7598;e[3084]=7599;e[3087]=7602;e[3088]=7603;e[3091]=7606;e[3092]=7607;e[3095]=7610;e[3096]=7611;e[3099]=7614;e[3100]=7615;e[3103]\
+=7618;e[3104]=7619;e[3107]=8337;e[3108]=8338;e[3116]=1884;e[3119]=1885;e[3120]=1885;e[3123]=1886;e[3124]=1886;e[3127]=1887;e[3128]=1887;e[3131]=1888;e[3132]=1888;e[3135]=1889;e[3136]=1889;e[3139]=1890;e[3140]=1890;e[3143]=1891;e[3144]=1891;e[3147]=1892;e[3148]=1892;e[3153]=580;e[3154]=581;e[3157]=584;e[3158]=585;e[3161]=588;e[3162]=589;e[3165]=891;e[3166]=892;e[3169]=1274;e[3170]=1275;e[3173]=1278;e[3174]=1279;e[3181]=7622;e[3182]=7623;e[3282]=11799;e[3316]=578;e[3379]=42785;e[3393]=1159;e[3416]\
+=8377})),ai=getLookupTableFactory((function(e){e[227]=322;e[264]=261;e[291]=346})),ri=getLookupTableFactory((function(e){e[1]=32;e[4]=65;e[5]=192;e[6]=193;e[9]=196;e[17]=66;e[18]=67;e[21]=268;e[24]=68;e[28]=69;e[29]=200;e[30]=201;e[32]=282;e[38]=70;e[39]=71;e[44]=72;e[47]=73;e[48]=204;e[49]=205;e[58]=74;e[60]=75;e[62]=76;e[68]=77;e[69]=78;e[75]=79;e[76]=210;e[80]=214;e[87]=80;e[89]=81;e[90]=82;e[92]=344;e[94]=83;e[97]=352;e[100]=84;e[104]=85;e[109]=220;e[115]=86;e[116]=87;e[121]=88;e[122]=89;e[1\
+24]=221;e[127]=90;e[129]=381;e[258]=97;e[259]=224;e[260]=225;e[263]=228;e[268]=261;e[271]=98;e[272]=99;e[273]=263;e[275]=269;e[282]=100;e[286]=101;e[287]=232;e[288]=233;e[290]=283;e[295]=281;e[296]=102;e[336]=103;e[346]=104;e[349]=105;e[350]=236;e[351]=237;e[361]=106;e[364]=107;e[367]=108;e[371]=322;e[373]=109;e[374]=110;e[381]=111;e[382]=242;e[383]=243;e[386]=246;e[393]=112;e[395]=113;e[396]=114;e[398]=345;e[400]=115;e[401]=347;e[403]=353;e[410]=116;e[437]=117;e[442]=252;e[448]=118;e[449]=119;e\
+[454]=120;e[455]=121;e[457]=253;e[460]=122;e[462]=382;e[463]=380;e[853]=44;e[855]=58;e[856]=46;e[876]=47;e[878]=45;e[882]=45;e[894]=40;e[895]=41;e[896]=91;e[897]=93;e[923]=64;e[940]=163;e[1004]=48;e[1005]=49;e[1006]=50;e[1007]=51;e[1008]=52;e[1009]=53;e[1010]=54;e[1011]=55;e[1012]=56;e[1013]=57;e[1081]=37;e[1085]=43;e[1086]=45}));function getStandardFontName(e){const t=normalizeFontName(e);return Jr()[t]}function isKnownFontName(e){const t=normalizeFontName(e);return!!(Jr()[t]||Zr()[t]||Qr()[t]|\
+|ei()[t])}class ToUnicodeMap{constructor(e=[]){this._map=e}get length(){return this._map.length}forEach(e){for(const t in this._map)e(t,this._map[t].codePointAt(0))}has(e){return void 0!==this._map[e]}get(e){return this._map[e]}charCodeOf(e){const t=this._map;if(t.length<=65536)return t.indexOf(e);for(const a in t)if(t[a]===e)return 0|a;return-1}amend(e){for(const t in e)this._map[t]=e[t]}}class IdentityToUnicodeMap{constructor(e,t){this.firstChar=e;this.lastChar=t}get length(){return this.lastC\
+har+1-this.firstChar}forEach(e){for(let t=this.firstChar,a=this.lastChar;t<=a;t++)e(t,t)}has(e){return this.firstChar<=e&&e<=this.lastChar}get(e){if(this.firstChar<=e&&e<=this.lastChar)return String.fromCharCode(e)}charCodeOf(e){return Number.isInteger(e)&&e>=this.firstChar&&e<=this.lastChar?e:-1}amend(e){unreachable("Should not call amend()")}}class CFFFont{constructor(e,t){this.properties=t;const a=new CFFParser(e,t,Rr);this.cff=a.parse();this.cff.duplicateFirstGlyph();const r=new CFFCompiler(\
+this.cff);this.seacs=this.cff.seacs;try{this.data=r.compile()}catch{warn("Failed to compile font "+t.loadedName);this.data=e}this._createBuiltInEncoding()}get numGlyphs(){return this.cff.charStrings.count}getCharset(){return this.cff.charset.charset}getGlyphMapping(){const e=this.cff,t=this.properties,{cidToGidMap:a,cMap:r}=t,i=e.charset.charset;let n,s;if(t.composite){let t,o;if(a?.length>0){t=Object.create(null);for(let e=0,r=a.length;e<r;e++){const r=a[e];void 0!==r&&(t[r]=e)}}n=Object.create\
+(null);if(e.isCIDFont)for(s=0;s<i.length;s++){const e=i[s];o=r.charCodeOf(e);void 0!==t?.[o]&&(o=t[o]);n[o]=s}else for(s=0;s<e.charStrings.count;s++){o=r.charCodeOf(s);n[o]=s}return n}let o=e.encoding?e.encoding.encoding:null;t.isInternalFont&&(o=t.defaultEncoding);n=type1FontGlyphMapping(t,o,i);return n}hasGlyphId(e){return this.cff.hasGlyphId(e)}_createBuiltInEncoding(){const{charset:e,encoding:t}=this.cff;if(!e||!t)return;const a=e.charset,r=t.encoding,i=[];for(const e in r){const t=r[e];if(t\
+>=0){const r=a[t];r&&(i[e]=r)}}i.length>0&&(this.properties.builtInEncoding=i)}}function getFloat214(e,t){return readInt16(e,t)/16384}function getSubroutineBias(e){const t=e.length;let a=32768;t<1240?a=107:t<33900&&(a=1131);return a}function parseCmap(e,t,a){const r=1===readUint16(e,t+2)?readUint32(e,t+8):readUint32(e,t+16),i=readUint16(e,t+r);let n,s,o;if(4===i){readUint16(e,t+r+2);const a=readUint16(e,t+r+6)>>1;s=t+r+14;n=[];for(o=0;o<a;o++,s+=2)n[o]={end:readUint16(e,s)};s+=2;for(o=0;o<a;o++,\
+s+=2)n[o].start=readUint16(e,s);for(o=0;o<a;o++,s+=2)n[o].idDelta=readUint16(e,s);for(o=0;o<a;o++,s+=2){let t=readUint16(e,s);if(0!==t){n[o].ids=[];for(let a=0,r=n[o].end-n[o].start+1;a<r;a++){n[o].ids[a]=readUint16(e,s+t);t+=2}}}return n}if(12===i){const a=readUint32(e,t+r+12);s=t+r+16;n=[];for(o=0;o<a;o++){t=readUint32(e,s);n.push({start:t,end:readUint32(e,s+4),idDelta:readUint32(e,s+8)-t});s+=12}return n}throw new FormatError(`unsupported cmap: ${i}`)}function parseCff(e,t,a,r){const i=new CF\
+FParser(new Stream(e,t,a-t),{},r).parse();return{glyphs:i.charStrings.objects,subrs:i.topDict.privateDict?.subrsIndex?.objects,gsubrs:i.globalSubrIndex?.objects,isCFFCIDFont:i.isCIDFont,fdSelect:i.fdSelect,fdArray:i.fdArray}}function lookupCmap(e,t){const a=t.codePointAt(0);let r=0,i=0,n=e.length-1;for(;i<n;){const t=i+n+1>>1;a<e[t].start?n=t-1:i=t}e[i].start<=a&&a<=e[i].end&&(r=e[i].idDelta+(e[i].ids?e[i].ids[a-e[i].start]:a)&65535);return{charCode:a,glyphId:r}}function compileGlyf(e,t,a){funct\
+ion moveTo(e,a){s&&t.add("L",s);s=[e,a];t.add("M",[e,a])}function lineTo(e,a){t.add("L",[e,a])}function quadraticCurveTo(e,a,r,i){t.add("Q",[e,a,r,i])}let r=0;const i=readInt16(e,r);let n,s=null,o=0,c=0;r+=10;if(i<0)do{n=readUint16(e,r);const i=readUint16(e,r+2);r+=4;let s,l;if(1&n){if(2&n){s=readInt16(e,r);l=readInt16(e,r+2)}else{s=readUint16(e,r);l=readUint16(e,r+2)}r+=4}else if(2&n){s=readInt8(e,r++);l=readInt8(e,r++)}else{s=e[r++];l=e[r++]}if(2&n){o=s;c=l}else{o=0;c=0}let h=1,u=1,d=0,f=0;if(\
+8&n){h=u=getFloat214(e,r);r+=2}else if(64&n){h=getFloat214(e,r);u=getFloat214(e,r+2);r+=4}else if(128&n){h=getFloat214(e,r);d=getFloat214(e,r+2);f=getFloat214(e,r+4);u=getFloat214(e,r+6);r+=8}const g=a.glyphs[i];if(g){t.save();t.transform([h,d,f,u,o,c]);compileGlyf(g,t,a);t.restore()}}while(32&n);else{const t=[];let a,s;for(a=0;a<i;a++){t.push(readUint16(e,r));r+=2}r+=2+readUint16(e,r);const l=t.at(-1)+1,h=[];for(;h.length<l;){n=e[r++];let t=1;8&n&&(t+=e[r++]);for(;t-- >0;)h.push({flags:n})}for(\
+a=0;a<l;a++){switch(18&h[a].flags){case 0:o+=readInt16(e,r);r+=2;break;case 2:o-=e[r++];break;case 18:o+=e[r++]}h[a].x=o}for(a=0;a<l;a++){switch(36&h[a].flags){case 0:c+=readInt16(e,r);r+=2;break;case 4:c-=e[r++];break;case 36:c+=e[r++]}h[a].y=c}let u=0;for(r=0;r<i;r++){const e=t[r],i=h.slice(u,e+1);if(1&i[0].flags)i.push(i[0]);else if(1&i.at(-1).flags)i.unshift(i.at(-1));else{const e={flags:1,x:(i[0].x+i.at(-1).x)/2,y:(i[0].y+i.at(-1).y)/2};i.unshift(e);i.push(e)}moveTo(i[0].x,i[0].y);for(a=1,s\
+=i.length;a<s;a++)if(1&i[a].flags)lineTo(i[a].x,i[a].y);else if(1&i[a+1].flags){quadraticCurveTo(i[a].x,i[a].y,i[a+1].x,i[a+1].y);a++}else quadraticCurveTo(i[a].x,i[a].y,(i[a].x+i[a+1].x)/2,(i[a].y+i[a+1].y)/2);u=e+1}}}function compileCharString(e,t,a,r){function moveTo(e,a){c&&t.add("L",c);c=[e,a];t.add("M",[e,a])}function lineTo(e,a){t.add("L",[e,a])}function bezierCurveTo(e,a,r,i,n,s){t.add("C",[e,a,r,i,n,s])}const i=[];let n=0,s=0,o=0,c=null;!function parse(e){let c=0;for(;c<e.length;){let l\
+,h,u,d,f,g,p,m,b,y=!1,w=e[c++];switch(w){case 1:case 3:case 18:case 23:o+=i.length>>1;y=!0;break;case 4:s+=i.pop();moveTo(n,s);y=!0;break;case 5:for(;i.length>0;){n+=i.shift();s+=i.shift();lineTo(n,s)}break;case 6:for(;i.length>0;){n+=i.shift();lineTo(n,s);if(0===i.length)break;s+=i.shift();lineTo(n,s)}break;case 7:for(;i.length>0;){s+=i.shift();lineTo(n,s);if(0===i.length)break;n+=i.shift();lineTo(n,s)}break;case 8:for(;i.length>0;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.\
+shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 10:m=i.pop();b=null;if(a.isCFFCIDFont){const e=a.fdSelect.getFDIndex(r);if(e>=0&&e<a.fdArray.length){const t=a.fdArray[e];let r;t.privateDict?.subrsIndex&&(r=t.privateDict.subrsIndex.objects);if(r){m+=getSubroutineBias(r);b=r[m]}}else warn("Invalid fd index for glyph index.")}else b=a.subrs[m+a.subrsBias];b&&parse(b);break;case 11:return;case 12:w=e[c++];switch(w){case 34:l=n+i.shift();h=l+i.shift();f=s+i.shift();n=h+i.shift();bezierCur\
+veTo(l,s,h,f,n,f);l=n+i.shift();h=l+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,s,n,s);break;case 35:l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);i.pop();break;case 36:l=n+i.shift();f=s+i.shift();h=l+i.shift();g=f+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,g,n,g);l=n+i.shift();h=l+i.shift();p=g+i.shift();n=h+i.shift();be\
+zierCurveTo(l,g,h,p,n,s);break;case 37:const e=n,t=s;l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d;Math.abs(n-e)>Math.abs(s-t)?n+=i.shift():s+=i.shift();bezierCurveTo(l,u,h,d,n,s);break;default:throw new FormatError(`unknown operator: 12 ${w}`)}break;case 14:if(i.length>=4){const e=i.pop(),r=i.pop();s=i.pop();n=i.pop();t.save();t.translate(n,s);let o=lookupCmap(a.cmap,\
+String.fromCharCode(a.glyphNameMap[Ar[e]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId);t.restore();o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[r]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId)}return;case 19:case 20:o+=i.length>>1;c+=o+7>>3;y=!0;break;case 21:s+=i.pop();n+=i.pop();moveTo(n,s);y=!0;break;case 22:n+=i.pop();moveTo(n,s);y=!0;break;case 24:for(;i.length>2;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurv\
+eTo(l,u,h,d,n,s)}n+=i.shift();s+=i.shift();lineTo(n,s);break;case 25:for(;i.length>6;){n+=i.shift();s+=i.shift();lineTo(n,s)}l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);break;case 26:i.length%2&&(n+=i.shift());for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 27:i.length%2&&(s+=i.shift());for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();n=h+i.shi\
+ft();s=d;bezierCurveTo(l,u,h,d,n,s)}break;case 28:i.push(readInt16(e,c));c+=2;break;case 29:m=i.pop()+a.gsubrsBias;b=a.gsubrs[m];b&&parse(b);break;case 30:for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;case 31:for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i\
+.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;default:if(w<32)throw new FormatError(`unknown operator: ${w}`);if(w<247)i.push(w-139);else if(w<251)i.push(256*(w-247)+e[c++]+108);else if(w<255)i.push(256*-(w-251)-e[c++]-108);else{i.push((e[c]<<24|e[c+1]<<16|e[c+2]<<8|e[c+3])/65536);c+=4}}y&&(i.length=0)}}(e)}class Comm\
+ands{cmds=[];transformStack=[];currentTransform=[1,0,0,1,0,0];add(e,t){if(t){const{currentTransform:a}=this;for(let e=0,r=t.length;e<r;e+=2)Util.applyTransform(t,a,e);this.cmds.push(`${e}${t.join(" ")}`)}else this.cmds.push(e)}transform(e){this.currentTransform=Util.transform(this.currentTransform,e)}translate(e,t){this.transform([1,0,0,1,e,t])}save(){this.transformStack.push(this.currentTransform.slice())}restore(){this.currentTransform=this.transformStack.pop()||[1,0,0,1,0,0]}getSVG(){return t\
+his.cmds.join("")}}class CompiledFont{constructor(e){this.fontMatrix=e;this.compiledGlyphs=Object.create(null);this.compiledCharCodeToGlyphId=Object.create(null)}getPathJs(e){const{charCode:t,glyphId:a}=lookupCmap(this.cmap,e);let r,i=this.compiledGlyphs[a];if(void 0===i){try{i=this.compileGlyph(this.glyphs[a],a)}catch(e){i="";r=e}this.compiledGlyphs[a]=i}this.compiledCharCodeToGlyphId[t]??=a;if(r)throw r;return i}compileGlyph(e,a){if(!e?.length||14===e[0])return"";let r=this.fontMatrix;if(this.\
+isCFFCIDFont){const e=this.fdSelect.getFDIndex(a);if(e>=0&&e<this.fdArray.length){r=this.fdArray[e].getByName("FontMatrix")||t}else warn("Invalid fd index for glyph index.")}assert(isNumberArray(r,6),"Expected a valid fontMatrix.");const i=new Commands;i.transform(r.slice());this.compileGlyphImpl(e,i,a);i.add("Z");return i.getSVG()}compileGlyphImpl(){unreachable("Children classes should implement this.")}hasBuiltPath(e){const{charCode:t,glyphId:a}=lookupCmap(this.cmap,e);return void 0!==this.com\
+piledGlyphs[a]&&void 0!==this.compiledCharCodeToGlyphId[t]}}class TrueTypeCompiled extends CompiledFont{constructor(e,t,a){super(a||[488e-6,0,0,488e-6,0,0]);this.glyphs=e;this.cmap=t}compileGlyphImpl(e,t){compileGlyf(e,t,this)}}class Type2Compiled extends CompiledFont{constructor(e,t,a){super(a||[.001,0,0,.001,0,0]);this.glyphs=e.glyphs;this.gsubrs=e.gsubrs||[];this.subrs=e.subrs||[];this.cmap=t;this.glyphNameMap=Fr();this.gsubrsBias=getSubroutineBias(this.gsubrs);this.subrsBias=getSubroutineBia\
+s(this.subrs);this.isCFFCIDFont=e.isCFFCIDFont;this.fdSelect=e.fdSelect;this.fdArray=e.fdArray}compileGlyphImpl(e,t,a){compileCharString(e,t,this,a)}}class FontRendererFactory{static create(e,t){const a=new Uint8Array(e.data);let r,i,n,s,o,c;const l=readUint16(a,4);for(let e=0,h=12;e<l;e++,h+=16){const e=bytesToString(a.subarray(h,h+4)),l=readUint32(a,h+8),u=readUint32(a,h+12);switch(e){case"cmap":r=parseCmap(a,l);break;case"glyf":i=a.subarray(l,l+u);break;case"loca":n=a.subarray(l,l+u);break;ca\
+se"head":c=readUint16(a,l+18);o=readUint16(a,l+50);break;case"CFF ":s=parseCff(a,l,l+u,t)}}if(i){const t=c?[1/c,0,0,1/c,0,0]:e.fontMatrix;return new TrueTypeCompiled(function parseGlyfTable(e,t,a){let r,i;if(a){r=4;i=readUint32}else{r=2;i=(e,t)=>2*readUint16(e,t)}const n=[];let s=i(t,0);for(let a=r;a<t.length;a+=r){const r=i(t,a);n.push(e.subarray(s,r));s=r}return n}(i,n,o),r,t)}return new Type2Compiled(s,r,e.fontMatrix)}}const ii=getLookupTableFactory((function(e){e.Courier=600;e["Courier-Bold"\
+]=600;e["Courier-BoldOblique"]=600;e["Courier-Oblique"]=600;e.Helvetica=getLookupTableFactory((function(e){e.space=278;e.exclam=278;e.quotedbl=355;e.numbersign=556;e.dollar=556;e.percent=889;e.ampersand=667;e.quoteright=222;e.parenleft=333;e.parenright=333;e.asterisk=389;e.plus=584;e.comma=278;e.hyphen=333;e.period=278;e.slash=278;e.zero=556;e.one=556;e.two=556;e.three=556;e.four=556;e.five=556;e.six=556;e.seven=556;e.eight=556;e.nine=556;e.colon=278;e.semicolon=278;e.less=584;e.equal=584;e.grea\
+ter=584;e.question=556;e.at=1015;e.A=667;e.B=667;e.C=722;e.D=722;e.E=667;e.F=611;e.G=778;e.H=722;e.I=278;e.J=500;e.K=667;e.L=556;e.M=833;e.N=722;e.O=778;e.P=667;e.Q=778;e.R=722;e.S=667;e.T=611;e.U=722;e.V=667;e.W=944;e.X=667;e.Y=667;e.Z=611;e.bracketleft=278;e.backslash=278;e.bracketright=278;e.asciicircum=469;e.underscore=556;e.quoteleft=222;e.a=556;e.b=556;e.c=500;e.d=556;e.e=556;e.f=278;e.g=556;e.h=556;e.i=222;e.j=222;e.k=500;e.l=222;e.m=833;e.n=556;e.o=556;e.p=556;e.q=556;e.r=333;e.s=500;e.t\
+=278;e.u=556;e.v=500;e.w=722;e.x=500;e.y=500;e.z=500;e.braceleft=334;e.bar=260;e.braceright=334;e.asciitilde=584;e.exclamdown=333;e.cent=556;e.sterling=556;e.fraction=167;e.yen=556;e.florin=556;e.section=556;e.currency=556;e.quotesingle=191;e.quotedblleft=333;e.guillemotleft=556;e.guilsinglleft=333;e.guilsinglright=333;e.fi=500;e.fl=500;e.endash=556;e.dagger=556;e.daggerdbl=556;e.periodcentered=278;e.paragraph=537;e.bullet=350;e.quotesinglbase=222;e.quotedblbase=333;e.quotedblright=333;e.guillem\
+otright=556;e.ellipsis=1e3;e.perthousand=1e3;e.questiondown=611;e.grave=333;e.acute=333;e.circumflex=333;e.tilde=333;e.macron=333;e.breve=333;e.dotaccent=333;e.dieresis=333;e.ring=333;e.cedilla=333;e.hungarumlaut=333;e.ogonek=333;e.caron=333;e.emdash=1e3;e.AE=1e3;e.ordfeminine=370;e.Lslash=556;e.Oslash=778;e.OE=1e3;e.ordmasculine=365;e.ae=889;e.dotlessi=278;e.lslash=222;e.oslash=611;e.oe=944;e.germandbls=611;e.Idieresis=278;e.eacute=556;e.abreve=556;e.uhungarumlaut=556;e.ecaron=556;e.Ydieresis=6\
+67;e.divide=584;e.Yacute=667;e.Acircumflex=667;e.aacute=556;e.Ucircumflex=722;e.yacute=500;e.scommaaccent=500;e.ecircumflex=556;e.Uring=722;e.Udieresis=722;e.aogonek=556;e.Uacute=722;e.uogonek=556;e.Edieresis=667;e.Dcroat=722;e.commaaccent=250;e.copyright=737;e.Emacron=667;e.ccaron=500;e.aring=556;e.Ncommaaccent=722;e.lacute=222;e.agrave=556;e.Tcommaaccent=611;e.Cacute=722;e.atilde=556;e.Edotaccent=667;e.scaron=500;e.scedilla=500;e.iacute=278;e.lozenge=471;e.Rcaron=722;e.Gcommaaccent=778;e.ucirc\
+umflex=556;e.acircumflex=556;e.Amacron=667;e.rcaron=333;e.ccedilla=500;e.Zdotaccent=611;e.Thorn=667;e.Omacron=778;e.Racute=722;e.Sacute=667;e.dcaron=643;e.Umacron=722;e.uring=556;e.threesuperior=333;e.Ograve=778;e.Agrave=667;e.Abreve=667;e.multiply=584;e.uacute=556;e.Tcaron=611;e.partialdiff=476;e.ydieresis=500;e.Nacute=722;e.icircumflex=278;e.Ecircumflex=667;e.adieresis=556;e.edieresis=556;e.cacute=500;e.nacute=556;e.umacron=556;e.Ncaron=722;e.Iacute=278;e.plusminus=584;e.brokenbar=260;e.regist\
+ered=737;e.Gbreve=778;e.Idotaccent=278;e.summation=600;e.Egrave=667;e.racute=333;e.omacron=556;e.Zacute=611;e.Zcaron=611;e.greaterequal=549;e.Eth=722;e.Ccedilla=722;e.lcommaaccent=222;e.tcaron=317;e.eogonek=556;e.Uogonek=722;e.Aacute=667;e.Adieresis=667;e.egrave=556;e.zacute=500;e.iogonek=222;e.Oacute=778;e.oacute=556;e.amacron=556;e.sacute=500;e.idieresis=278;e.Ocircumflex=778;e.Ugrave=722;e.Delta=612;e.thorn=556;e.twosuperior=333;e.Odieresis=778;e.mu=556;e.igrave=278;e.ohungarumlaut=556;e.Eogo\
+nek=667;e.dcroat=556;e.threequarters=834;e.Scedilla=667;e.lcaron=299;e.Kcommaaccent=667;e.Lacute=556;e.trademark=1e3;e.edotaccent=556;e.Igrave=278;e.Imacron=278;e.Lcaron=556;e.onehalf=834;e.lessequal=549;e.ocircumflex=556;e.ntilde=556;e.Uhungarumlaut=722;e.Eacute=667;e.emacron=556;e.gbreve=556;e.onequarter=834;e.Scaron=667;e.Scommaaccent=667;e.Ohungarumlaut=778;e.degree=400;e.ograve=556;e.Ccaron=722;e.ugrave=556;e.radical=453;e.Dcaron=722;e.rcommaaccent=333;e.Ntilde=722;e.otilde=556;e.Rcommaacce\
+nt=722;e.Lcommaaccent=556;e.Atilde=667;e.Aogonek=667;e.Aring=667;e.Otilde=778;e.zdotaccent=500;e.Ecaron=667;e.Iogonek=278;e.kcommaaccent=500;e.minus=584;e.Icircumflex=278;e.ncaron=556;e.tcommaaccent=278;e.logicalnot=584;e.odieresis=556;e.udieresis=556;e.notequal=549;e.gcommaaccent=556;e.eth=556;e.zcaron=500;e.ncommaaccent=556;e.onesuperior=333;e.imacron=278;e.Euro=556}));e["Helvetica-Bold"]=getLookupTableFactory((function(e){e.space=278;e.exclam=333;e.quotedbl=474;e.numbersign=556;e.dollar=556;e\
+.percent=889;e.ampersand=722;e.quoteright=278;e.parenleft=333;e.parenright=333;e.asterisk=389;e.plus=584;e.comma=278;e.hyphen=333;e.period=278;e.slash=278;e.zero=556;e.one=556;e.two=556;e.three=556;e.four=556;e.five=556;e.six=556;e.seven=556;e.eight=556;e.nine=556;e.colon=333;e.semicolon=333;e.less=584;e.equal=584;e.greater=584;e.question=611;e.at=975;e.A=722;e.B=722;e.C=722;e.D=722;e.E=667;e.F=611;e.G=778;e.H=722;e.I=278;e.J=556;e.K=722;e.L=611;e.M=833;e.N=722;e.O=778;e.P=667;e.Q=778;e.R=722;e.\
+S=667;e.T=611;e.U=722;e.V=667;e.W=944;e.X=667;e.Y=667;e.Z=611;e.bracketleft=333;e.backslash=278;e.bracketright=333;e.asciicircum=584;e.underscore=556;e.quoteleft=278;e.a=556;e.b=611;e.c=556;e.d=611;e.e=556;e.f=333;e.g=611;e.h=611;e.i=278;e.j=278;e.k=556;e.l=278;e.m=889;e.n=611;e.o=611;e.p=611;e.q=611;e.r=389;e.s=556;e.t=333;e.u=611;e.v=556;e.w=778;e.x=556;e.y=556;e.z=500;e.braceleft=389;e.bar=280;e.braceright=389;e.asciitilde=584;e.exclamdown=333;e.cent=556;e.sterling=556;e.fraction=167;e.yen=55\
+6;e.florin=556;e.section=556;e.currency=556;e.quotesingle=238;e.quotedblleft=500;e.guillemotleft=556;e.guilsinglleft=333;e.guilsinglright=333;e.fi=611;e.fl=611;e.endash=556;e.dagger=556;e.daggerdbl=556;e.periodcentered=278;e.paragraph=556;e.bullet=350;e.quotesinglbase=278;e.quotedblbase=500;e.quotedblright=500;e.guillemotright=556;e.ellipsis=1e3;e.perthousand=1e3;e.questiondown=611;e.grave=333;e.acute=333;e.circumflex=333;e.tilde=333;e.macron=333;e.breve=333;e.dotaccent=333;e.dieresis=333;e.ring\
+=333;e.cedilla=333;e.hungarumlaut=333;e.ogonek=333;e.caron=333;e.emdash=1e3;e.AE=1e3;e.ordfeminine=370;e.Lslash=611;e.Oslash=778;e.OE=1e3;e.ordmasculine=365;e.ae=889;e.dotlessi=278;e.lslash=278;e.oslash=611;e.oe=944;e.germandbls=611;e.Idieresis=278;e.eacute=556;e.abreve=556;e.uhungarumlaut=611;e.ecaron=556;e.Ydieresis=667;e.divide=584;e.Yacute=667;e.Acircumflex=722;e.aacute=556;e.Ucircumflex=722;e.yacute=556;e.scommaaccent=556;e.ecircumflex=556;e.Uring=722;e.Udieresis=722;e.aogonek=556;e.Uacute=\
+722;e.uogonek=611;e.Edieresis=667;e.Dcroat=722;e.commaaccent=250;e.copyright=737;e.Emacron=667;e.ccaron=556;e.aring=556;e.Ncommaaccent=722;e.lacute=278;e.agrave=556;e.Tcommaaccent=611;e.Cacute=722;e.atilde=556;e.Edotaccent=667;e.scaron=556;e.scedilla=556;e.iacute=278;e.lozenge=494;e.Rcaron=722;e.Gcommaaccent=778;e.ucircumflex=611;e.acircumflex=556;e.Amacron=722;e.rcaron=389;e.ccedilla=556;e.Zdotaccent=611;e.Thorn=667;e.Omacron=778;e.Racute=722;e.Sacute=667;e.dcaron=743;e.Umacron=722;e.uring=611;\
+e.threesuperior=333;e.Ograve=778;e.Agrave=722;e.Abreve=722;e.multiply=584;e.uacute=611;e.Tcaron=611;e.partialdiff=494;e.ydieresis=556;e.Nacute=722;e.icircumflex=278;e.Ecircumflex=667;e.adieresis=556;e.edieresis=556;e.cacute=556;e.nacute=611;e.umacron=611;e.Ncaron=722;e.Iacute=278;e.plusminus=584;e.brokenbar=280;e.registered=737;e.Gbreve=778;e.Idotaccent=278;e.summation=600;e.Egrave=667;e.racute=389;e.omacron=611;e.Zacute=611;e.Zcaron=611;e.greaterequal=549;e.Eth=722;e.Ccedilla=722;e.lcommaaccent\
+=278;e.tcaron=389;e.eogonek=556;e.Uogonek=722;e.Aacute=722;e.Adieresis=722;e.egrave=556;e.zacute=500;e.iogonek=278;e.Oacute=778;e.oacute=611;e.amacron=556;e.sacute=556;e.idieresis=278;e.Ocircumflex=778;e.Ugrave=722;e.Delta=612;e.thorn=611;e.twosuperior=333;e.Odieresis=778;e.mu=611;e.igrave=278;e.ohungarumlaut=611;e.Eogonek=667;e.dcroat=611;e.threequarters=834;e.Scedilla=667;e.lcaron=400;e.Kcommaaccent=722;e.Lacute=611;e.trademark=1e3;e.edotaccent=556;e.Igrave=278;e.Imacron=278;e.Lcaron=611;e.one\
+half=834;e.lessequal=549;e.ocircumflex=611;e.ntilde=611;e.Uhungarumlaut=722;e.Eacute=667;e.emacron=556;e.gbreve=611;e.onequarter=834;e.Scaron=667;e.Scommaaccent=667;e.Ohungarumlaut=778;e.degree=400;e.ograve=611;e.Ccaron=722;e.ugrave=611;e.radical=549;e.Dcaron=722;e.rcommaaccent=389;e.Ntilde=722;e.otilde=611;e.Rcommaaccent=722;e.Lcommaaccent=611;e.Atilde=722;e.Aogonek=722;e.Aring=722;e.Otilde=778;e.zdotaccent=500;e.Ecaron=667;e.Iogonek=278;e.kcommaaccent=556;e.minus=584;e.Icircumflex=278;e.ncaron\
+=611;e.tcommaaccent=333;e.logicalnot=584;e.odieresis=611;e.udieresis=611;e.notequal=549;e.gcommaaccent=611;e.eth=611;e.zcaron=500;e.ncommaaccent=611;e.onesuperior=333;e.imacron=278;e.Euro=556}));e["Helvetica-BoldOblique"]=getLookupTableFactory((function(e){e.space=278;e.exclam=333;e.quotedbl=474;e.numbersign=556;e.dollar=556;e.percent=889;e.ampersand=722;e.quoteright=278;e.parenleft=333;e.parenright=333;e.asterisk=389;e.plus=584;e.comma=278;e.hyphen=333;e.period=278;e.slash=278;e.zero=556;e.one=\
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+0;e.twosuperior=300;e.Odieresis=722;e.mu=500;e.igrave=278;e.ohungarumlaut=500;e.Eogonek=611;e.dcroat=500;e.threequarters=750;e.Scedilla=500;e.lcaron=300;e.Kcommaaccent=667;e.Lacute=556;e.trademark=980;e.edotaccent=444;e.Igrave=333;e.Imacron=333;e.Lcaron=611;e.onehalf=750;e.lessequal=549;e.ocircumflex=500;e.ntilde=500;e.Uhungarumlaut=722;e.Eacute=611;e.emacron=444;e.gbreve=500;e.onequarter=750;e.Scaron=500;e.Scommaaccent=500;e.Ohungarumlaut=722;e.degree=400;e.ograve=500;e.Ccaron=667;e.ugrave=500;\
+e.radical=453;e.Dcaron=722;e.rcommaaccent=389;e.Ntilde=667;e.otilde=500;e.Rcommaaccent=611;e.Lcommaaccent=556;e.Atilde=611;e.Aogonek=611;e.Aring=611;e.Otilde=722;e.zdotaccent=389;e.Ecaron=611;e.Iogonek=333;e.kcommaaccent=444;e.minus=675;e.Icircumflex=333;e.ncaron=500;e.tcommaaccent=278;e.logicalnot=675;e.odieresis=500;e.udieresis=500;e.notequal=549;e.gcommaaccent=500;e.eth=500;e.zcaron=389;e.ncommaaccent=500;e.onesuperior=300;e.imacron=278;e.Euro=500}));e.ZapfDingbats=getLookupTableFactory((func\
+tion(e){e.space=278;e.a1=974;e.a2=961;e.a202=974;e.a3=980;e.a4=719;e.a5=789;e.a119=790;e.a118=791;e.a117=690;e.a11=960;e.a12=939;e.a13=549;e.a14=855;e.a15=911;e.a16=933;e.a105=911;e.a17=945;e.a18=974;e.a19=755;e.a20=846;e.a21=762;e.a22=761;e.a23=571;e.a24=677;e.a25=763;e.a26=760;e.a27=759;e.a28=754;e.a6=494;e.a7=552;e.a8=537;e.a9=577;e.a10=692;e.a29=786;e.a30=788;e.a31=788;e.a32=790;e.a33=793;e.a34=794;e.a35=816;e.a36=823;e.a37=789;e.a38=841;e.a39=823;e.a40=833;e.a41=816;e.a42=831;e.a43=923;e.a4\
+4=744;e.a45=723;e.a46=749;e.a47=790;e.a48=792;e.a49=695;e.a50=776;e.a51=768;e.a52=792;e.a53=759;e.a54=707;e.a55=708;e.a56=682;e.a57=701;e.a58=826;e.a59=815;e.a60=789;e.a61=789;e.a62=707;e.a63=687;e.a64=696;e.a65=689;e.a66=786;e.a67=787;e.a68=713;e.a69=791;e.a70=785;e.a71=791;e.a72=873;e.a73=761;e.a74=762;e.a203=762;e.a75=759;e.a204=759;e.a76=892;e.a77=892;e.a78=788;e.a79=784;e.a81=438;e.a82=138;e.a83=277;e.a84=415;e.a97=392;e.a98=392;e.a99=668;e.a100=668;e.a89=390;e.a90=390;e.a93=317;e.a94=317;e\
+.a91=276;e.a92=276;e.a205=509;e.a85=509;e.a206=410;e.a86=410;e.a87=234;e.a88=234;e.a95=334;e.a96=334;e.a101=732;e.a102=544;e.a103=544;e.a104=910;e.a106=667;e.a107=760;e.a108=760;e.a112=776;e.a111=595;e.a110=694;e.a109=626;e.a120=788;e.a121=788;e.a122=788;e.a123=788;e.a124=788;e.a125=788;e.a126=788;e.a127=788;e.a128=788;e.a129=788;e.a130=788;e.a131=788;e.a132=788;e.a133=788;e.a134=788;e.a135=788;e.a136=788;e.a137=788;e.a138=788;e.a139=788;e.a140=788;e.a141=788;e.a142=788;e.a143=788;e.a144=788;e.a\
+145=788;e.a146=788;e.a147=788;e.a148=788;e.a149=788;e.a150=788;e.a151=788;e.a152=788;e.a153=788;e.a154=788;e.a155=788;e.a156=788;e.a157=788;e.a158=788;e.a159=788;e.a160=894;e.a161=838;e.a163=1016;e.a164=458;e.a196=748;e.a165=924;e.a192=748;e.a166=918;e.a167=927;e.a168=928;e.a169=928;e.a170=834;e.a171=873;e.a172=828;e.a173=924;e.a162=924;e.a174=917;e.a175=930;e.a176=931;e.a177=463;e.a178=883;e.a179=836;e.a193=836;e.a180=867;e.a199=867;e.a181=696;e.a200=696;e.a182=874;e.a201=874;e.a183=760;e.a184=\
+946;e.a197=771;e.a185=865;e.a194=771;e.a198=888;e.a186=967;e.a195=888;e.a187=831;e.a188=873;e.a189=927;e.a190=970;e.a191=918}))})),ni=getLookupTableFactory((function(e){e.Courier={ascent:629,descent:-157,capHeight:562,xHeight:-426};e["Courier-Bold"]={ascent:629,descent:-157,capHeight:562,xHeight:439};e["Courier-Oblique"]={ascent:629,descent:-157,capHeight:562,xHeight:426};e["Courier-BoldOblique"]={ascent:629,descent:-157,capHeight:562,xHeight:426};e.Helvetica={ascent:718,descent:-207,capHeight:7\
+18,xHeight:523};e["Helvetica-Bold"]={ascent:718,descent:-207,capHeight:718,xHeight:532};e["Helvetica-Oblique"]={ascent:718,descent:-207,capHeight:718,xHeight:523};e["Helvetica-BoldOblique"]={ascent:718,descent:-207,capHeight:718,xHeight:532};e["Times-Roman"]={ascent:683,descent:-217,capHeight:662,xHeight:450};e["Times-Bold"]={ascent:683,descent:-217,capHeight:676,xHeight:461};e["Times-Italic"]={ascent:683,descent:-217,capHeight:653,xHeight:441};e["Times-BoldItalic"]={ascent:683,descent:-217,capH\
+eight:669,xHeight:462};e.Symbol={ascent:Math.NaN,descent:Math.NaN,capHeight:Math.NaN,xHeight:Math.NaN};e.ZapfDingbats={ascent:Math.NaN,descent:Math.NaN,capHeight:Math.NaN,xHeight:Math.NaN}}));class GlyfTable{constructor({glyfTable:e,isGlyphLocationsLong:t,locaTable:a,numGlyphs:r}){this.glyphs=[];const i=new DataView(a.buffer,a.byteOffset,a.byteLength),n=new DataView(e.buffer,e.byteOffset,e.byteLength),s=t?4:2;let o=t?i.getUint32(0):2*i.getUint16(0),c=0;for(let e=0;e<r;e++){c+=s;const e=t?i.getUi\
+nt32(c):2*i.getUint16(c);if(e===o){this.glyphs.push(new Glyph({}));continue}const a=Glyph.parse(o,n);this.glyphs.push(a);o=e}}getSize(){return Math.sumPrecise(this.glyphs.map((e=>e.getSize()+3&-4)))}write(){const e=this.getSize(),t=new DataView(new ArrayBuffer(e)),a=e>131070,r=a?4:2,i=new DataView(new ArrayBuffer((this.glyphs.length+1)*r));a?i.setUint32(0,0):i.setUint16(0,0);let n=0,s=0;for(const e of this.glyphs){n+=e.write(n,t);n=n+3&-4;s+=r;a?i.setUint32(s,n):i.setUint16(s,n>>1)}return{isLoca\
+tionLong:a,loca:new Uint8Array(i.buffer),glyf:new Uint8Array(t.buffer)}}scale(e){for(let t=0,a=this.glyphs.length;t<a;t++)this.glyphs[t].scale(e[t])}}class Glyph{constructor({header:e=null,simple:t=null,composites:a=null}){this.header=e;this.simple=t;this.composites=a}static parse(e,t){const[a,r]=GlyphHeader.parse(e,t);e+=a;if(r.numberOfContours<0){const a=[];for(;;){const[r,i]=CompositeGlyph.parse(e,t);e+=r;a.push(i);if(!(32&i.flags))break}return new Glyph({header:r,composites:a})}const i=Simpl\
+eGlyph.parse(e,t,r.numberOfContours);return new Glyph({header:r,simple:i})}getSize(){if(!this.header)return 0;const e=this.simple?this.simple.getSize():Math.sumPrecise(this.composites.map((e=>e.getSize())));return this.header.getSize()+e}write(e,t){if(!this.header)return 0;const a=e;e+=this.header.write(e,t);if(this.simple)e+=this.simple.write(e,t);else for(const a of this.composites)e+=a.write(e,t);return e-a}scale(e){if(!this.header)return;const t=(this.header.xMin+this.header.xMax)/2;this.hea\
+der.scale(t,e);if(this.simple)this.simple.scale(t,e);else for(const a of this.composites)a.scale(t,e)}}class GlyphHeader{constructor({numberOfContours:e,xMin:t,yMin:a,xMax:r,yMax:i}){this.numberOfContours=e;this.xMin=t;this.yMin=a;this.xMax=r;this.yMax=i}static parse(e,t){return[10,new GlyphHeader({numberOfContours:t.getInt16(e),xMin:t.getInt16(e+2),yMin:t.getInt16(e+4),xMax:t.getInt16(e+6),yMax:t.getInt16(e+8)})]}getSize(){return 10}write(e,t){t.setInt16(e,this.numberOfContours);t.setInt16(e+2,\
+this.xMin);t.setInt16(e+4,this.yMin);t.setInt16(e+6,this.xMax);t.setInt16(e+8,this.yMax);return 10}scale(e,t){this.xMin=Math.round(e+(this.xMin-e)*t);this.xMax=Math.round(e+(this.xMax-e)*t)}}class Contour{constructor({flags:e,xCoordinates:t,yCoordinates:a}){this.xCoordinates=t;this.yCoordinates=a;this.flags=e}}class SimpleGlyph{constructor({contours:e,instructions:t}){this.contours=e;this.instructions=t}static parse(e,t,a){const r=[];for(let i=0;i<a;i++){const a=t.getUint16(e);e+=2;r.push(a)}con\
+st i=r[a-1]+1,n=t.getUint16(e);e+=2;const s=new Uint8Array(t).slice(e,e+n);e+=n;const o=[];for(let a=0;a<i;e++,a++){let r=t.getUint8(e);o.push(r);if(8&r){const i=t.getUint8(++e);r^=8;for(let e=0;e<i;e++)o.push(r);a+=i}}const c=[];let l=[],h=[],u=[];const d=[];let f=0,g=0;for(let a=0;a<i;a++){const i=o[a];if(2&i){const a=t.getUint8(e++);g+=16&i?a:-a;l.push(g)}else if(16&i)l.push(g);else{g+=t.getInt16(e);e+=2;l.push(g)}if(r[f]===a){f++;c.push(l);l=[]}}g=0;f=0;for(let a=0;a<i;a++){const i=o[a];if(4\
+&i){const a=t.getUint8(e++);g+=32&i?a:-a;h.push(g)}else if(32&i)h.push(g);else{g+=t.getInt16(e);e+=2;h.push(g)}u.push(1&i|64&i);if(r[f]===a){l=c[f];f++;d.push(new Contour({flags:u,xCoordinates:l,yCoordinates:h}));h=[];u=[]}}return new SimpleGlyph({contours:d,instructions:s})}getSize(){let e=2*this.contours.length+2+this.instructions.length,t=0,a=0;for(const r of this.contours){e+=r.flags.length;for(let i=0,n=r.xCoordinates.length;i<n;i++){const n=r.xCoordinates[i],s=r.yCoordinates[i];let o=Math.\
+abs(n-t);o>255?e+=2:o>0&&(e+=1);t=n;o=Math.abs(s-a);o>255?e+=2:o>0&&(e+=1);a=s}}return e}write(e,t){const a=e,r=[],i=[],n=[];let s=0,o=0;for(const a of this.contours){for(let e=0,t=a.xCoordinates.length;e<t;e++){let t=a.flags[e];const c=a.xCoordinates[e];let l=c-s;if(0===l){t|=16;r.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?18:2;r.push(e)}else r.push(l)}s=c;const h=a.yCoordinates[e];l=h-o;if(0===l){t|=32;i.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?36:4;i.push(e)}else i.push(l)\
+}o=h;n.push(t)}t.setUint16(e,r.length-1);e+=2}t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}for(const a of n)t.setUint8(e++,a);for(let a=0,i=r.length;a<i;a++){const i=r[a],s=n[a];if(2&s)t.setUint8(e++,i);else if(!(16&s)){t.setInt16(e,i);e+=2}}for(let a=0,r=i.length;a<r;a++){const r=i[a],s=n[a];if(4&s)t.setUint8(e++,r);else if(!(32&s)){t.setInt16(e,r);e+=2}}return e-a}sc\
+ale(e,t){for(const a of this.contours)if(0!==a.xCoordinates.length)for(let r=0,i=a.xCoordinates.length;r<i;r++)a.xCoordinates[r]=Math.round(e+(a.xCoordinates[r]-e)*t)}}class CompositeGlyph{constructor({flags:e,glyphIndex:t,argument1:a,argument2:r,transf:i,instructions:n}){this.flags=e;this.glyphIndex=t;this.argument1=a;this.argument2=r;this.transf=i;this.instructions=n}static parse(e,t){const a=e,r=[];let i=t.getUint16(e);const n=t.getUint16(e+2);e+=4;let s,o;if(1&i){if(2&i){s=t.getInt16(e);o=t.\
+getInt16(e+2)}else{s=t.getUint16(e);o=t.getUint16(e+2)}e+=4;i^=1}else{if(2&i){s=t.getInt8(e);o=t.getInt8(e+1)}else{s=t.getUint8(e);o=t.getUint8(e+1)}e+=2}if(8&i){r.push(t.getUint16(e));e+=2}else if(64&i){r.push(t.getUint16(e),t.getUint16(e+2));e+=4}else if(128&i){r.push(t.getUint16(e),t.getUint16(e+2),t.getUint16(e+4),t.getUint16(e+6));e+=8}let c=null;if(256&i){const a=t.getUint16(e);e+=2;c=new Uint8Array(t).slice(e,e+a);e+=a}return[e-a,new CompositeGlyph({flags:i,glyphIndex:n,argument1:s,argume\
+nt2:o,transf:r,instructions:c})]}getSize(){let e=4+2*this.transf.length;256&this.flags&&(e+=2+this.instructions.length);e+=2;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(e+=2):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(e+=2);return e}write(e,t){const a=e;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(this.flags|=1):this.argument1>=0&&this.argument1<=25\
+5&&this.argument2>=0&&this.argument2<=255||(this.flags|=1);t.setUint16(e,this.flags);t.setUint16(e+2,this.glyphIndex);e+=4;if(1&this.flags){if(2&this.flags){t.setInt16(e,this.argument1);t.setInt16(e+2,this.argument2)}else{t.setUint16(e,this.argument1);t.setUint16(e+2,this.argument2)}e+=4}else{t.setUint8(e,this.argument1);t.setUint8(e+1,this.argument2);e+=2}if(256&this.flags){t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).s\
+et(this.instructions,e);e+=this.instructions.length}}return e-a}scale(e,t){}}function writeInt16(e,t,a){e[t]=a>>8&255;e[t+1]=255&a}function writeInt32(e,t,a){e[t]=a>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}function writeData(e,t,a){if(a instanceof Uint8Array)e.set(a,t);else if("string"==typeof a)for(let r=0,i=a.length;r<i;r++)e[t++]=255&a.charCodeAt(r);else for(const r of a)e[t++]=255&r}class OpenTypeFileBuilder{constructor(e){this.sfnt=e;this.tables=Object.create(null)}static getSe\
+archParams(e,t){let a=1,r=0;for(;(a^e)>a;){a<<=1;r++}const i=a*t;return{range:i,entry:r,rangeShift:t*e-i}}toArray(){let e=this.sfnt;const t=this.tables,a=Object.keys(t);a.sort();const r=a.length;let i,n,s,o,c,l=12+16*r;const h=[l];for(i=0;i<r;i++){o=t[a[i]];l+=(o.length+3&-4)>>>0;h.push(l)}const u=new Uint8Array(l);for(i=0;i<r;i++){o=t[a[i]];writeData(u,h[i],o)}"true"===e&&(e=string32(65536));u[0]=255&e.charCodeAt(0);u[1]=255&e.charCodeAt(1);u[2]=255&e.charCodeAt(2);u[3]=255&e.charCodeAt(3);writ\
+eInt16(u,4,r);const d=OpenTypeFileBuilder.getSearchParams(r,16);writeInt16(u,6,d.range);writeInt16(u,8,d.entry);writeInt16(u,10,d.rangeShift);l=12;for(i=0;i<r;i++){c=a[i];u[l]=255&c.charCodeAt(0);u[l+1]=255&c.charCodeAt(1);u[l+2]=255&c.charCodeAt(2);u[l+3]=255&c.charCodeAt(3);let e=0;for(n=h[i],s=h[i+1];n<s;n+=4){e=e+readUint32(u,n)>>>0}writeInt32(u,l+4,e);writeInt32(u,l+8,h[i]);writeInt32(u,l+12,t[c].length);l+=16}return u}addTable(e,t){if(e in this.tables)throw new Error("Table "+e+" already e\
+xists");this.tables[e]=t}}const si=[4],oi=[5],ci=[6],li=[7],hi=[8],ui=[12,35],di=[14],fi=[21],gi=[22],pi=[30],mi=[31];class Type1CharString{constructor(){this.width=0;this.lsb=0;this.flexing=!1;this.output=[];this.stack=[]}convert(e,t,a){const r=e.length;let i,n,s,o=!1;for(let c=0;c<r;c++){let r=e[c];if(r<32){12===r&&(r=(r<<8)+e[++c]);switch(r){case 1:case 3:case 9:case 3072:case 3073:case 3074:case 3105:this.stack=[];break;case 4:if(this.flexing){if(this.stack.length<1){o=!0;break}const e=this.\
+stack.pop();this.stack.push(0,e);break}o=this.executeCommand(1,si);break;case 5:o=this.executeCommand(2,oi);break;case 6:o=this.executeCommand(1,ci);break;case 7:o=this.executeCommand(1,li);break;case 8:o=this.executeCommand(6,hi);break;case 10:if(this.stack.length<1){o=!0;break}s=this.stack.pop();if(!t[s]){o=!0;break}o=this.convert(t[s],t,a);break;case 11:return o;case 13:if(this.stack.length<2){o=!0;break}i=this.stack.pop();n=this.stack.pop();this.lsb=n;this.width=i;this.stack.push(i,n);o=this\
+.executeCommand(2,gi);break;case 14:this.output.push(di[0]);break;case 21:if(this.flexing)break;o=this.executeCommand(2,fi);break;case 22:if(this.flexing){this.stack.push(0);break}o=this.executeCommand(1,gi);break;case 30:o=this.executeCommand(4,pi);break;case 31:o=this.executeCommand(4,mi);break;case 3078:if(a){const e=this.stack.at(-5);this.seac=this.stack.splice(-4,4);this.seac[0]+=this.lsb-e;o=this.executeCommand(0,di)}else o=this.executeCommand(4,di);break;case 3079:if(this.stack.length<4){\
+o=!0;break}this.stack.pop();i=this.stack.pop();const e=this.stack.pop();n=this.stack.pop();this.lsb=n;this.width=i;this.stack.push(i,n,e);o=this.executeCommand(3,fi);break;case 3084:if(this.stack.length<2){o=!0;break}const c=this.stack.pop(),l=this.stack.pop();this.stack.push(l/c);break;case 3088:if(this.stack.length<2){o=!0;break}s=this.stack.pop();const h=this.stack.pop();if(0===s&&3===h){const e=this.stack.splice(-17,17);this.stack.push(e[2]+e[0],e[3]+e[1],e[4],e[5],e[6],e[7],e[8],e[9],e[10],\
+e[11],e[12],e[13],e[14]);o=this.executeCommand(13,ui,!0);this.flexing=!1;this.stack.push(e[15],e[16])}else 1===s&&0===h&&(this.flexing=!0);break;case 3089:break;default:warn(\'Unknown type 1 charstring command of "\'+r+\'"\')}if(o)break}else{r<=246?r-=139:r=r<=250?256*(r-247)+e[++c]+108:r<=254?-256*(r-251)-e[++c]-108:(255&e[++c])<<24|(255&e[++c])<<16|(255&e[++c])<<8|255&e[++c];this.stack.push(r)}}return o}executeCommand(e,t,a){const r=this.stack.length;if(e>r)return!0;const i=r-e;for(let e=i;e<r;e++\
+){let t=this.stack[e];if(Number.isInteger(t))this.output.push(28,t>>8&255,255&t);else{t=65536*t|0;this.output.push(255,t>>24&255,t>>16&255,t>>8&255,255&t)}}this.output.push(...t);a?this.stack.splice(i,e):this.stack.length=0;return!1}}function isHexDigit(e){return e>=48&&e<=57||e>=65&&e<=70||e>=97&&e<=102}function decrypt(e,t,a){if(a>=e.length)return new Uint8Array(0);let r,i,n=0|t;for(r=0;r<a;r++)n=52845*(e[r]+n)+22719&65535;const s=e.length-a,o=new Uint8Array(s);for(r=a,i=0;i<s;r++,i++){const t\
+=e[r];o[i]=t^n>>8;n=52845*(t+n)+22719&65535}return o}function isSpecial(e){return 47===e||91===e||93===e||123===e||125===e||40===e||41===e}class Type1Parser{constructor(e,t,a){if(t){const t=e.getBytes(),a=!((isHexDigit(t[0])||isWhiteSpace(t[0]))&&isHexDigit(t[1])&&isHexDigit(t[2])&&isHexDigit(t[3])&&isHexDigit(t[4])&&isHexDigit(t[5])&&isHexDigit(t[6])&&isHexDigit(t[7]));e=new Stream(a?decrypt(t,55665,4):function decryptAscii(e,t,a){let r=0|t;const i=e.length,n=new Uint8Array(i>>>1);let s,o;for(s\
+=0,o=0;s<i;s++){const t=e[s];if(!isHexDigit(t))continue;s++;let a;for(;s<i&&!isHexDigit(a=e[s]);)s++;if(s<i){const e=parseInt(String.fromCharCode(t,a),16);n[o++]=e^r>>8;r=52845*(e+r)+22719&65535}}return n.slice(a,o)}(t,55665,4))}this.seacAnalysisEnabled=!!a;this.stream=e;this.nextChar()}readNumberArray(){this.getToken();const e=[];for(;;){const t=this.getToken();if(null===t||"]"===t||"}"===t)break;e.push(parseFloat(t||0))}return e}readNumber(){const e=this.getToken();return parseFloat(e||0)}read\
+Int(){const e=this.getToken();return 0|parseInt(e||0,10)}readBoolean(){return"true"===this.getToken()?1:0}nextChar(){return this.currentChar=this.stream.getByte()}prevChar(){this.stream.skip(-2);return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(-1===t)return null;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}if(isSpecial(t)){this.nextChar();return String.fromCharCode(t)}let a="";do{a+=String.fromChar\
+Code(t);t=this.nextChar()}while(t>=0&&!isWhiteSpace(t)&&!isSpecial(t));return a}readCharStrings(e,t){return-1===t?e:decrypt(e,4330,t)}extractFontProgram(e){const t=this.stream,a=[],r=[],i=Object.create(null);i.lenIV=4;const n={subrs:[],charstrings:[],properties:{privateData:i}};let s,o,c,l;for(;null!==(s=this.getToken());)if("/"===s){s=this.getToken();switch(s){case"CharStrings":this.getToken();this.getToken();this.getToken();this.getToken();for(;;){s=this.getToken();if(null===s||"end"===s)break\
+;if("/"!==s)continue;const e=this.getToken();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const a=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s?this.getToken():"/"===s&&this.prevChar();r.push({glyph:e,encoded:a})}break;case"Subrs":this.readInt();this.getToken();for(;"dup"===this.getToken();){const e=this.readInt();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateDat\
+a.lenIV;const r=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s&&this.getToken();a[e]=r}break;case"BlueValues":case"OtherBlues":case"FamilyBlues":case"FamilyOtherBlues":const e=this.readNumberArray();e.length>0&&e.length,0;break;case"StemSnapH":case"StemSnapV":n.properties.privateData[s]=this.readNumberArray();break;case"StdHW":case"StdVW":n.properties.privateData[s]=this.readNumberArray()[0];break;case"BlueShift":case"lenIV":case"BlueFuzz":case"BlueScale":case"Languag\
+eGroup":n.properties.privateData[s]=this.readNumber();break;case"ExpansionFactor":n.properties.privateData[s]=this.readNumber()||.06;break;case"ForceBold":n.properties.privateData[s]=this.readBoolean()}}for(const{encoded:t,glyph:i}of r){const r=new Type1CharString,s=r.convert(t,a,this.seacAnalysisEnabled);let o=r.output;s&&(o=[14]);const c={glyphName:i,charstring:o,width:r.width,lsb:r.lsb,seac:r.seac};".notdef"===i?n.charstrings.unshift(c):n.charstrings.push(c);if(e.builtInEncoding){const t=e.bu\
+iltInEncoding.indexOf(i);t>-1&&void 0===e.widths[t]&&t>=e.firstChar&&t<=e.lastChar&&(e.widths[t]=r.width)}}return n}extractFontHeader(e){let t;for(;null!==(t=this.getToken());)if("/"===t){t=this.getToken();switch(t){case"FontMatrix":const a=this.readNumberArray();e.fontMatrix=a;break;case"Encoding":const r=this.getToken();let i;if(/^\\d+$/.test(r)){i=[];const e=0|parseInt(r,10);this.getToken();for(let a=0;a<e;a++){t=this.getToken();for(;"dup"!==t&&"def"!==t;){t=this.getToken();if(null===t)return}\
+if("def"===t)break;const e=this.readInt();this.getToken();const a=this.getToken();i[e]=a;this.getToken()}}else i=getEncoding(r);e.builtInEncoding=i;break;case"FontBBox":const n=this.readNumberArray();e.ascent=Math.max(n[3],n[1]);e.descent=Math.min(n[1],n[3]);e.ascentScaled=!0}}}}function findBlock(e,t,a){const r=e.length,i=t.length,n=r-i;let s=a,o=!1;for(;s<n;){let a=0;for(;a<i&&e[s+a]===t[a];)a++;if(a>=i){s+=a;for(;s<r&&isWhiteSpace(e[s]);)s++;o=!0;break}s++}return{found:o,length:s}}class Type1\
+Font{constructor(e,t,a){let r=a.length1,i=a.length2,n=t.peekBytes(6);const s=128===n[0]&&1===n[1];if(s){t.skip(6);r=n[5]<<24|n[4]<<16|n[3]<<8|n[2]}const o=function getHeaderBlock(e,t){const a=[101,101,120,101,99],r=e.pos;let i,n,s,o;try{i=e.getBytes(t);n=i.length}catch{}if(n===t){s=findBlock(i,a,t-2*a.length);if(s.found&&s.length===t)return{stream:new Stream(i),length:t}}warn(\'Invalid "Length1" property in Type1 font -- trying to recover.\');e.pos=r;for(;;){s=findBlock(e.peekBytes(2048),a,0);if(0\
+===s.length)break;e.pos+=s.length;if(s.found){o=e.pos-r;break}}e.pos=r;if(o)return{stream:new Stream(e.getBytes(o)),length:o};warn(\'Unable to recover "Length1" property in Type1 font -- using as is.\');return{stream:new Stream(e.getBytes(t)),length:t}}(t,r);new Type1Parser(o.stream,!1,Rr).extractFontHeader(a);if(s){n=t.getBytes(6);i=n[5]<<24|n[4]<<16|n[3]<<8|n[2]}const c=function getEexecBlock(e,t){const a=e.getBytes();if(0===a.length)throw new FormatError("getEexecBlock - no font program found."\
+);return{stream:new Stream(a),length:a.length}}(t),l=new Type1Parser(c.stream,!0,Rr).extractFontProgram(a);for(const e in l.properties)a[e]=l.properties[e];const h=l.charstrings,u=this.getType2Charstrings(h),d=this.getType2Subrs(l.subrs);this.charstrings=h;this.data=this.wrap(e,u,this.charstrings,d,a);this.seacs=this.getSeacs(l.charstrings)}get numGlyphs(){return this.charstrings.length+1}getCharset(){const e=[".notdef"];for(const{glyphName:t}of this.charstrings)e.push(t);return e}getGlyphMappin\
+g(e){const t=this.charstrings;if(e.composite){const a=Object.create(null);for(let r=0,i=t.length;r<i;r++){a[e.cMap.charCodeOf(r)]=r+1}return a}const a=[".notdef"];let r,i;for(i=0;i<t.length;i++)a.push(t[i].glyphName);const n=e.builtInEncoding;if(n){r=Object.create(null);for(const e in n){i=a.indexOf(n[e]);i>=0&&(r[e]=i)}}return type1FontGlyphMapping(e,r,a)}hasGlyphId(e){if(e<0||e>=this.numGlyphs)return!1;if(0===e)return!0;return this.charstrings[e-1].charstring.length>0}getSeacs(e){const t=[];fo\
+r(let a=0,r=e.length;a<r;a++){const r=e[a];r.seac&&(t[a+1]=r.seac)}return t}getType2Charstrings(e){const t=[];for(const a of e)t.push(a.charstring);return t}getType2Subrs(e){let t=0;const a=e.length;t=a<1133?107:a<33769?1131:32768;const r=[];let i;for(i=0;i<t;i++)r.push([11]);for(i=0;i<a;i++)r.push(e[i]);return r}wrap(e,t,a,r,i){const n=new CFF;n.header=new CFFHeader(1,0,4,4);n.names=[e];const s=new CFFTopDict;s.setByName("version",391);s.setByName("Notice",392);s.setByName("FullName",393);s.set\
+ByName("FamilyName",394);s.setByName("Weight",395);s.setByName("Encoding",null);s.setByName("FontMatrix",i.fontMatrix);s.setByName("FontBBox",i.bbox);s.setByName("charset",null);s.setByName("CharStrings",null);s.setByName("Private",null);n.topDict=s;const o=new CFFStrings;o.add("Version 0.11");o.add("See original notice");o.add(e);o.add(e);o.add("Medium");n.strings=o;n.globalSubrIndex=new CFFIndex;const c=t.length,l=[".notdef"];let h,u;for(h=0;h<c;h++){const e=a[h].glyphName;-1===Hr.indexOf(e)&&\
+o.add(e);l.push(e)}n.charset=new CFFCharset(!1,0,l);const d=new CFFIndex;d.add([139,14]);for(h=0;h<c;h++)d.add(t[h]);n.charStrings=d;const f=new CFFPrivateDict;f.setByName("Subrs",null);const g=["BlueValues","OtherBlues","FamilyBlues","FamilyOtherBlues","StemSnapH","StemSnapV","BlueShift","BlueFuzz","BlueScale","LanguageGroup","ExpansionFactor","ForceBold","StdHW","StdVW"];for(h=0,u=g.length;h<u;h++){const e=g[h];if(!(e in i.privateData))continue;const t=i.privateData[e];if(Array.isArray(t))for(\
+let e=t.length-1;e>0;e--)t[e]-=t[e-1];f.setByName(e,t)}n.topDict.privateDict=f;const p=new CFFIndex;for(h=0,u=r.length;h<u;h++)p.add(r[h]);f.subrsIndex=p;return new CFFCompiler(n).compile()}}const bi=[[57344,63743],[1048576,1114109]],yi=1e3,wi=["ascent","bbox","black","bold","charProcOperatorList","cssFontInfo","data","defaultVMetrics","defaultWidth","descent","disableFontFace","fallbackName","fontExtraProperties","fontMatrix","isInvalidPDFjsFont","isType3Font","italic","loadedName","mimetype","\
+missingFile","name","remeasure","systemFontInfo","vertical"],xi=["cMap","composite","defaultEncoding","differences","isMonospace","isSerifFont","isSymbolicFont","seacMap","subtype","toFontChar","toUnicode","type","vmetrics","widths"];function adjustWidths(e){if(!e.fontMatrix)return;if(e.fontMatrix[0]===t[0])return;const a=.001/e.fontMatrix[0],r=e.widths;for(const e in r)r[e]*=a;e.defaultWidth*=a}function amendFallbackToUnicode(e){if(!e.fallbackToUnicode)return;if(e.toUnicode instanceof IdentityT\
+oUnicodeMap)return;const t=[];for(const a in e.fallbackToUnicode)e.toUnicode.has(a)||(t[a]=e.fallbackToUnicode[a]);t.length>0&&e.toUnicode.amend(t)}class fonts_Glyph{constructor(e,t,a,r,i,n,s,o,c){this.originalCharCode=e;this.fontChar=t;this.unicode=a;this.accent=r;this.width=i;this.vmetric=n;this.operatorListId=s;this.isSpace=o;this.isInFont=c}get category(){return shadow(this,"category",function getCharUnicodeCategory(e){const t=Dr.get(e);if(t)return t;const a=e.match(Mr),r={isWhitespace:!!a?.\
+[1],isZeroWidthDiacritic:!!a?.[2],isInvisibleFormatMark:!!a?.[3]};Dr.set(e,r);return r}(this.unicode),!0)}}function int16(e,t){return(e<<8)+t}function writeSignedInt16(e,t,a){e[t+1]=a;e[t]=a>>>8}function signedInt16(e,t){const a=(e<<8)+t;return 32768&a?a-65536:a}function string16(e){return String.fromCharCode(e>>8&255,255&e)}function safeString16(e){e>32767?e=32767:e<-32768&&(e=-32768);return String.fromCharCode(e>>8&255,255&e)}function isTrueTypeCollectionFile(e){return"ttcf"===bytesToString(e.\
+peekBytes(4))}function getFontFileType(e,{type:t,subtype:a,composite:r}){let i,n;if(function isTrueTypeFile(e){const t=e.peekBytes(4);return 65536===readUint32(t,0)||"true"===bytesToString(t)}(e)||isTrueTypeCollectionFile(e))i=r?"CIDFontType2":"TrueType";else if(function isOpenTypeFile(e){return"OTTO"===bytesToString(e.peekBytes(4))}(e))i=r?"CIDFontType2":"OpenType";else if(function isType1File(e){const t=e.peekBytes(2);return 37===t[0]&&33===t[1]||128===t[0]&&1===t[1]}(e))i=r?"CIDFontType0":"MM\
+Type1"===t?"MMType1":"Type1";else if(function isCFFFile(e){const t=e.peekBytes(4);return t[0]>=1&&t[3]>=1&&t[3]<=4}(e))if(r){i="CIDFontType0";n="CIDFontType0C"}else{i="MMType1"===t?"MMType1":"Type1";n="Type1C"}else{warn("getFontFileType: Unable to detect correct font file Type/Subtype.");i=t;n=a}return[i,n]}function applyStandardFontGlyphMap(e,t){for(const a in t)e[+a]=t[a]}function buildToFontChar(e,t,a){const r=[];let i;for(let a=0,n=e.length;a<n;a++){i=getUnicodeForGlyph(e[a],t);-1!==i&&(r[a]\
+=i)}for(const e in a){i=getUnicodeForGlyph(a[e],t);-1!==i&&(r[+e]=i)}return r}function isMacNameRecord(e){return 1===e.platform&&0===e.encoding&&0===e.language}function isWinNameRecord(e){return 3===e.platform&&1===e.encoding&&1033===e.language}function convertCidString(e,t,a=!1){switch(t.length){case 1:return t.charCodeAt(0);case 2:return t.charCodeAt(0)<<8|t.charCodeAt(1)}const r=`Unsupported CID string (charCode ${e}): "${t}".`;if(a)throw new FormatError(r);warn(r);return t}function adjustMap\
+ping(e,t,a,r){const i=Object.create(null),n=new Map,s=[],o=new Set;let c=0;let l=bi[c][0],h=bi[c][1];let u=null;for(const f in e){let g=e[f];if(!t(g))continue;if(l>h){c++;if(c>=bi.length){warn("Ran out of space in font private use area.");break}l=bi[c][0];h=bi[c][1]}const p=l++;0===g&&(g=a);let m=r.get(f);if("string"==typeof m)if(1===m.length)m=m.codePointAt(0);else{if(!u){u=new Map;for(let e=64256;e<=64335;e++){const t=String.fromCharCode(e).normalize("NFKD");t.length>1&&u.set(t,e)}}m=u.get(m)|\
+|m.codePointAt(0)}if(m&&!(d=m,bi[0][0]<=d&&d<=bi[0][1]||bi[1][0]<=d&&d<=bi[1][1])&&!o.has(g)){n.set(m,g);o.add(g)}i[p]=g;s[f]=p}var d;return{toFontChar:s,charCodeToGlyphId:i,toUnicodeExtraMap:n,nextAvailableFontCharCode:l}}function createCmapTable(e,t,a){const r=function getRanges(e,t,a){const r=[];for(const t in e)e[t]>=a||r.push({fontCharCode:0|t,glyphId:e[t]});if(t)for(const[e,i]of t)i>=a||r.push({fontCharCode:e,glyphId:i});0===r.length&&r.push({fontCharCode:0,glyphId:0});r.sort(((e,t)=>e.fon\
+tCharCode-t.fontCharCode));const i=[],n=r.length;for(let e=0;e<n;){const t=r[e].fontCharCode,a=[r[e].glyphId];++e;let s=t;for(;e<n&&s+1===r[e].fontCharCode;){a.push(r[e].glyphId);++s;++e;if(65535===s)break}i.push([t,s,a])}return i}(e,t,a),i=r.at(-1)[1]>65535?2:1;let n,s,o,c,l="\\0\\0"+string16(i)+"\\0\\0
"+string32(4+8*i);for(n=r.length-1;n>=0&&!(r[n][0]<=65535);--n);const h=n+1;r[n][0]<65535&&65535===r[n][1]&&(r[n][1]=65534);const u=r[n][1]<65535?1:0,d=h+u,f=OpenTypeFileBuilder.getSearchParams(d,2\
+);let g,p,m,b,y="",w="",x="",S="",k="",C=0;for(n=0,s=h;n<s;n++){g=r[n];p=g[0];m=g[1];y+=string16(p);w+=string16(m);b=g[2];let e=!0;for(o=1,c=b.length;o<c;++o)if(b[o]!==b[o-1]+1){e=!1;break}if(e){x+=string16(b[0]-p&65535);S+=string16(0)}else{const e=2*(d-n)+2*C;C+=m-p+1;x+=string16(0);S+=string16(e);for(o=0,c=b.length;o<c;++o)k+=string16(b[o])}}if(u>0){w+="ÿÿ";y+="ÿÿ";x+="\\0
";S+="\\0\\0"}const v="\\0\\0"+string16(2*d)+string16(f.range)+string16(f.entry)+string16(f.rangeShift)+w+"\\0\\0"+y+x+S+k;let F=\
+"",T="";if(i>1){l+="\\0\\0\\n"+string32(4+8*i+4+v.length);F="";for(n=0,s=r.length;n<s;n++){g=r[n];p=g[0];b=g[2];let e=b[0];for(o=1,c=b.length;o<c;++o)if(b[o]!==b[o-1]+1){m=g[0]+o-1;F+=string32(p)+string32(m)+string32(e);p=m+1;e=b[o]}F+=string32(p)+string32(g[1])+string32(e)}T="\\0\\f\\0\\0"+string32(F.length+16)+"\\0\\0\\0\\0"+string32(F.length/12)}return l+"\\0"+string16(v.length+4)+v+T+F}function createOS2Table(e,t,a){a||={unitsPerEm:0,yMax:0,yMin:0,ascent:0,descent:0};let r=0,i=0,n=0,s=0,o=null,c=0,l=-\
+1;if(t){for(let e in t){e|=0;(o>e||!o)&&(o=e);c<e&&(c=e);l=getUnicodeRangeFor(e,l);if(l<32)r|=1<<l;else if(l<64)i|=1<<l-32;else if(l<96)n|=1<<l-64;else{if(!(l<123))throw new FormatError("Unicode ranges Bits > 123 are reserved for internal usage");s|=1<<l-96}}c>65535&&(c=65535)}else{o=0;c=255}const h=e.bbox||[0,0,0,0],u=a.unitsPerEm||(e.fontMatrix?1/Math.max(...e.fontMatrix.slice(0,4).map(Math.abs)):1e3),d=e.ascentScaled?1:u/yi,f=a.ascent||Math.round(d*(e.ascent||h[3]));let g=a.descent||Math.roun\
+d(d*(e.descent||h[1]));g>0&&e.descent>0&&h[1]<0&&(g=-g);const p=a.yMax||f,m=-a.yMin||-g;return"\\0$
ô\\0\\0\\0Š»\\0\\0\\0ŒŠ»\\0\\0
ß\\x001
\\0\\0\\0\\0"+String.fromCharCode(e.fixedPitch?9:0)+"\\0\\0\\0\\0\\0\\0"+string32(r)+string32(i)+string32(n)+string32(s)+"*21*"+string16(e.italicAngle?1:0)+string16(o||e.firstChar)+string16(c||e.lastChar)+string16(f)+string16(g)+"\\0d"+string16(p)+string16(m)+"\\0\\0\\0\\0\\0\\0\\0\\0"+string16(e.xHeight)+string16(e.capHeight)+string16(0)+string16(o||e.firstChar)+"\\0"}function \
+createPostTable(e){return"\\0\\0\\0"+string32(Math.floor(65536*e.italicAngle))+"\\0\\0\\0\\0"+string32(e.fixedPitch?1:0)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"}function createPostscriptName(e){return e.replaceAll(/[^\\x21-\\x7E]|[[\\](){}<>/%]/g,"").slice(0,63)}function createNameTable(e,t){t||(t=[[],[]]);const a=[t[0][0]||"Original licence",t[0][1]||e,t[0][2]||"Unknown",t[0][3]||"uniqueID",t[0][4]||e,t[0][5]||"Version 0.11",t[0][6]||createPostscriptName(e),t[0][7]||"Unknown",t[0][8]||"Unknown",t[0][9]||"Unk\
+nown"],r=[];let i,n,s,o,c;for(i=0,n=a.length;i<n;i++){c=t[1][i]||a[i];const e=[];for(s=0,o=c.length;s<o;s++)e.push(string16(c.charCodeAt(s)));r.push(e.join(""))}const l=[a,r],h=["\\0
","\\0"],u=["\\0\\0","\\0
"],d=["\\0\\0","\\t"],f=a.length*h.length;let g="\\0\\0"+string16(f)+string16(12*f+6),p=0;for(i=0,n=h.length;i<n;i++){const e=l[i];for(s=0,o=e.length;s<o;s++){c=e[s];g+=h[i]+u[i]+d[i]+string16(s)+string16(c.length)+string16(p);p+=c.length}}g+=a.join("")+r.join("");return g}class Font{constructor(e,\
+t,a,r){this.name=e;this.psName=null;this.mimetype=null;this.disableFontFace=r.disableFontFace;this.fontExtraProperties=r.fontExtraProperties;this.loadedName=a.loadedName;this.isType3Font=a.isType3Font;this.missingFile=!1;this.cssFontInfo=a.cssFontInfo;this._charsCache=Object.create(null);this._glyphCache=Object.create(null);let i=!!(a.flags&Er);if(!i&&!a.isSimulatedFlags){const t=e.replaceAll(/[,_]/g,"-").split("-",1)[0],a=Qr();for(const e of t.split("+"))if(a[e]){i=!0;break}}this.isSerifFont=i;\
+this.isSymbolicFont=!!(a.flags&Pr);this.isMonospace=!!(a.flags&Nr);let{type:n,subtype:s}=a;this.type=n;this.subtype=s;this.systemFontInfo=a.systemFontInfo;const o=e.match(/^InvalidPDFjsFont_(.*)_\\d+$/);this.isInvalidPDFjsFont=!!o;this.isInvalidPDFjsFont?this.fallbackName=o[1]:this.isMonospace?this.fallbackName="monospace":this.isSerifFont?this.fallbackName="serif":this.fallbackName="sans-serif";if(this.systemFontInfo?.guessFallback){this.systemFontInfo.guessFallback=!1;this.systemFontInfo.css+=`\
+,${this.fallbackName}`}this.differences=a.differences;this.widths=a.widths;this.defaultWidth=a.defaultWidth;this.composite=a.composite;this.cMap=a.cMap;this.capHeight=a.capHeight/yi;this.ascent=a.ascent/yi;this.descent=a.descent/yi;this.lineHeight=this.ascent-this.descent;this.fontMatrix=a.fontMatrix;this.bbox=a.bbox;this.defaultEncoding=a.defaultEncoding;this.toUnicode=a.toUnicode;this.toFontChar=[];if("Type3"===a.type){for(let e=0;e<256;e++)this.toFontChar[e]=this.differences[e]||a.defaultEnco\
+ding[e];return}this.cidEncoding=a.cidEncoding||"";this.vertical=!!a.vertical;if(this.vertical){this.vmetrics=a.vmetrics;this.defaultVMetrics=a.defaultVMetrics}if(!t||t.isEmpty){t&&warn(\'Font file is empty in "\'+e+\'" (\'+this.loadedName+")");this.fallbackToSystemFont(a);return}[n,s]=getFontFileType(t,a);n===this.type&&s===this.subtype||info(`Inconsistent font file Type/SubType, expected: ${this.type}/${this.subtype} but found: ${n}/${s}.`);let c;try{switch(n){case"MMType1":info("MMType1 font ("+e+\
+"), falling back to Type1.");case"Type1":case"CIDFontType0":this.mimetype="font/opentype";const r="Type1C"===s||"CIDFontType0C"===s?new CFFFont(t,a):new Type1Font(e,t,a);adjustWidths(a);c=this.convert(e,r,a);break;case"OpenType":case"TrueType":case"CIDFontType2":this.mimetype="font/opentype";c=this.checkAndRepair(e,t,a);adjustWidths(a);this.isOpenType&&(n="OpenType");break;default:throw new FormatError(`Font ${n} is not supported`)}}catch(e){warn(e);this.fallbackToSystemFont(a);return}amendFallb\
+ackToUnicode(a);this.data=c;this.type=n;this.subtype=s;this.fontMatrix=a.fontMatrix;this.widths=a.widths;this.defaultWidth=a.defaultWidth;this.toUnicode=a.toUnicode;this.seacMap=a.seacMap}get renderer(){return shadow(this,"renderer",FontRendererFactory.create(this,Rr))}exportData(){const e=this.fontExtraProperties?[...wi,...xi]:wi,t=Object.create(null);for(const a of e){const e=this[a];void 0!==e&&(t[a]=e)}return t}fallbackToSystemFont(e){this.missingFile=!0;const{name:t,type:a}=this;let r=norma\
+lizeFontName(t);const i=Jr(),n=Zr(),s=!!i[r],o=!(!n[r]||!i[n[r]]);r=i[r]||n[r]||r;const c=ni()[r];if(c){isNaN(this.ascent)&&(this.ascent=c.ascent/yi);isNaN(this.descent)&&(this.descent=c.descent/yi);isNaN(this.capHeight)&&(this.capHeight=c.capHeight/yi)}this.bold=/bold/gi.test(r);this.italic=/oblique|italic/gi.test(r);this.black=/Black/g.test(t);const l=/Narrow/g.test(t);this.remeasure=(!s||l)&&Object.keys(this.widths).length>0;if((s||o)&&"CIDFontType2"===a&&this.cidEncoding.startsWith("Identity\
+-")){const a=e.cidToGidMap,r=[];applyStandardFontGlyphMap(r,ti());/Arial-?Black/i.test(t)?applyStandardFontGlyphMap(r,ai()):/Calibri/i.test(t)&&applyStandardFontGlyphMap(r,ri());if(a){for(const e in r){const t=r[e];void 0!==a[t]&&(r[+e]=a[t])}a.length!==this.toUnicode.length&&e.hasIncludedToUnicodeMap&&this.toUnicode instanceof IdentityToUnicodeMap&&this.toUnicode.forEach((function(e,t){const i=r[e];void 0===a[i]&&(r[+e]=t)}))}this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEac\
+h((function(e,t){r[+e]=t}));this.toFontChar=r;this.toUnicode=new ToUnicodeMap(r)}else if(/Symbol/i.test(r))this.toFontChar=buildToFontChar(Cr,Fr(),this.differences);else if(/Dingbats/i.test(r))this.toFontChar=buildToFontChar(vr,Ir(),this.differences);else if(s||o){const e=buildToFontChar(this.defaultEncoding,Fr(),this.differences);"CIDFontType2"!==a||this.cidEncoding.startsWith("Identity-")||this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(t,a){e[+t]=a}));this.toF\
+ontChar=e}else{const e=Fr(),a=[];this.toUnicode.forEach(((t,r)=>{if(!this.composite){const a=getUnicodeForGlyph(this.differences[t]||this.defaultEncoding[t],e);-1!==a&&(r=a)}a[+t]=r}));this.composite&&this.toUnicode instanceof IdentityToUnicodeMap&&/Tahoma|Verdana/i.test(t)&&applyStandardFontGlyphMap(a,ti());this.toFontChar=a}amendFallbackToUnicode(e);this.loadedName=r.split("-",1)[0]}checkAndRepair(e,t,a){const r=["OS/2","cmap","head","hhea","hmtx","maxp","name","post","loca","glyf","fpgm","pre\
+p","cvt ","CFF "];function readTables(e,t){const a=Object.create(null);a["OS/2"]=null;a.cmap=null;a.head=null;a.hhea=null;a.hmtx=null;a.maxp=null;a.name=null;a.post=null;for(let i=0;i<t;i++){const t=readTableEntry(e);r.includes(t.tag)&&(0!==t.length&&(a[t.tag]=t))}return a}function readTableEntry(e){const t=e.getString(4),a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0,n=e.pos;e.pos=e.start||0;e.skip(r);const s=e.getBytes(i);e.pos=n;if("head"===t){s[8]=s[9]=s[10]=s[11]=0;s[17]|=32}retur\
+n{tag:t,checksum:a,length:i,offset:r,data:s}}function readOpenTypeHeader(e){return{version:e.getString(4),numTables:e.getUint16(),searchRange:e.getUint16(),entrySelector:e.getUint16(),rangeShift:e.getUint16()}}function sanitizeGlyph(e,t,a,r,i,n){const s={length:0,sizeOfInstructions:0};if(t<0||t>=e.length||a>e.length||a-t<=12)return s;const o=e.subarray(t,a),c=signedInt16(o[2],o[3]),l=signedInt16(o[4],o[5]),h=signedInt16(o[6],o[7]),u=signedInt16(o[8],o[9]);if(c>h){writeSignedInt16(o,2,h);writeSig\
+nedInt16(o,6,c)}if(l>u){writeSignedInt16(o,4,u);writeSignedInt16(o,8,l)}const d=signedInt16(o[0],o[1]);if(d<0){if(d<-1)return s;r.set(o,i);s.length=o.length;return s}let f,g=10,p=0;for(f=0;f<d;f++){p=(o[g]<<8|o[g+1])+1;g+=2}const m=g,b=o[g]<<8|o[g+1];s.sizeOfInstructions=b;g+=2+b;const y=g;let w=0;for(f=0;f<p;f++){const e=o[g++];192&e&&(o[g-1]=63&e);let t=2;2&e?t=1:16&e&&(t=0);let a=2;4&e?a=1:32&e&&(a=0);const r=t+a;w+=r;if(8&e){const e=o[g++];0===e&&(o[g-1]^=8);f+=e;w+=e*r}}if(0===w)return s;le\
+t x=g+w;if(x>o.length)return s;if(!n&&b>0){r.set(o.subarray(0,m),i);r.set([0,0],i+m);r.set(o.subarray(y,x),i+m+2);x-=b;o.length-x>3&&(x=x+3&-4);s.length=x;return s}if(o.length-x>3){x=x+3&-4;r.set(o.subarray(0,x),i);s.length=x;return s}r.set(o,i);s.length=o.length;return s}function readNameTable(e){const a=(t.start||0)+e.offset;t.pos=a;const r=[[],[]],i=[],n=e.length,s=a+n;if(0!==t.getUint16()||n<6)return[r,i];const o=t.getUint16(),c=t.getUint16();let l,h;for(l=0;l<o&&t.pos+12<=s;l++){const e={pl\
+atform:t.getUint16(),encoding:t.getUint16(),language:t.getUint16(),name:t.getUint16(),length:t.getUint16(),offset:t.getUint16()};(isMacNameRecord(e)||isWinNameRecord(e))&&i.push(e)}for(l=0,h=i.length;l<h;l++){const e=i[l];if(e.length<=0)continue;const n=a+c+e.offset;if(n+e.length>s)continue;t.pos=n;const o=e.name;if(e.encoding){let a="";for(let r=0,i=e.length;r<i;r+=2)a+=String.fromCharCode(t.getUint16());r[1][o]=a}else r[0][o]=t.getString(e.length)}return[r,i]}const i=[0,0,0,0,0,0,0,0,-2,-2,-2,\
+-2,0,0,-2,-5,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,0,-1,-1,-1,-1,1,-1,-999,0,1,0,-1,-2,0,-1,-2,-1,-1,0,-1,-1,0,0,-999,-999,-1,-1,-1,-1,-2,-999,-2,-2,-999,0,-2,-2,0,0,-2,0,-2,0,0,0,-2,-1,-1,1,1,0,0,-1,-1,-1,-1,-1,-1,-1,0,0,-1,0,-1,-1,0,-999,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,-2,-999,-999,-999,-999,-999,-1,-1,-2,-2,0,0,0,0,-1,-1,-999,-2,-2,0,0,-1,-2,-2,0,0,0,-1,-1,-1,-2];function sanitizeTTProgram(e,t){let a,r,n,s,o,c=e.data,l=0,h=0,u=0;const d=[],f=[],g=[];let p=t.tooComplexToFollowFunctions,m=!1\
+,b=0,y=0;for(let e=c.length;l<e;){const e=c[l++];if(64===e){r=c[l++];if(m||y)l+=r;else for(a=0;a<r;a++)d.push(c[l++])}else if(65===e){r=c[l++];if(m||y)l+=2*r;else for(a=0;a<r;a++){n=c[l++];d.push(n<<8|c[l++])}}else if(176==(248&e)){r=e-176+1;if(m||y)l+=r;else for(a=0;a<r;a++)d.push(c[l++])}else if(184==(248&e)){r=e-184+1;if(m||y)l+=2*r;else for(a=0;a<r;a++){n=c[l++];d.push(signedInt16(n,c[l++]))}}else if(43!==e||p)if(44!==e||p){if(45===e)if(m){m=!1;h=l}else{o=f.pop();if(!o){warn("TT: ENDF bad st\
+ack");t.hintsValid=!1;return}s=g.pop();c=o.data;l=o.i;t.functionsStackDeltas[s]=d.length-o.stackTop}else if(137===e){if(m||y){warn("TT: nested IDEFs not allowed");p=!0}m=!0;u=l}else if(88===e)++b;else if(27===e)y=b;else if(89===e){y===b&&(y=0);--b}else if(28===e&&!m&&!y){const e=d.at(-1);e>0&&(l+=e-1)}}else{if(m||y){warn("TT: nested FDEFs not allowed");p=!0}m=!0;u=l;s=d.pop();t.functionsDefined[s]={data:c,i:l}}else if(!m&&!y){s=d.at(-1);if(isNaN(s))info("TT: CALL empty stack (or invalid entry)."\
+);else{t.functionsUsed[s]=!0;if(s in t.functionsStackDeltas){const e=d.length+t.functionsStackDeltas[s];if(e<0){warn("TT: CALL invalid functions stack delta.");t.hintsValid=!1;return}d.length=e}else if(s in t.functionsDefined&&!g.includes(s)){f.push({data:c,i:l,stackTop:d.length-1});g.push(s);o=t.functionsDefined[s];if(!o){warn("TT: CALL non-existent function");t.hintsValid=!1;return}c=o.data;l=o.i}}}if(!m&&!y){let t=0;e<=142?t=i[e]:e>=192&&e<=223?t=-1:e>=224&&(t=-2);if(e>=113&&e<=117){r=d.pop()\
+;isNaN(r)||(t=2*-r)}for(;t<0&&d.length>0;){d.pop();t++}for(;t>0;){d.push(NaN);t--}}}t.tooComplexToFollowFunctions=p;const w=[c];l>c.length&&w.push(new Uint8Array(l-c.length));if(u>h){warn("TT: complementing a missing function tail");w.push(new Uint8Array([34,45]))}!function foldTTTable(e,t){if(t.length>1){let a,r,i=0;for(a=0,r=t.length;a<r;a++)i+=t[a].length;i=i+3&-4;const n=new Uint8Array(i);let s=0;for(a=0,r=t.length;a<r;a++){n.set(t[a],s);s+=t[a].length}e.data=n;e.length=i}}(e,w)}let n,s,o,c;\
+if(isTrueTypeCollectionFile(t=new Stream(new Uint8Array(t.getBytes())))){const e=function readTrueTypeCollectionData(e,t){const{numFonts:a,offsetTable:r}=function readTrueTypeCollectionHeader(e){const t=e.getString(4);assert("ttcf"===t,"Must be a TrueType Collection font.");const a=e.getUint16(),r=e.getUint16(),i=e.getInt32()>>>0,n=[];for(let t=0;t<i;t++)n.push(e.getInt32()>>>0);const s={ttcTag:t,majorVersion:a,minorVersion:r,numFonts:i,offsetTable:n};switch(a){case 1:return s;case 2:s.dsigTag=e\
+.getInt32()>>>0;s.dsigLength=e.getInt32()>>>0;s.dsigOffset=e.getInt32()>>>0;return s}throw new FormatError(`Invalid TrueType Collection majorVersion: ${a}.`)}(e),i=t.split("+");let n;for(let s=0;s<a;s++){e.pos=(e.start||0)+r[s];const a=readOpenTypeHeader(e),o=readTables(e,a.numTables);if(!o.name)throw new FormatError(\'TrueType Collection font must contain a "name" table.\');const[c]=readNameTable(o.name);for(let e=0,r=c.length;e<r;e++)for(let r=0,s=c[e].length;r<s;r++){const s=c[e][r]?.replaceAll\
+(/\\s/g,"");if(s){if(s===t)return{header:a,tables:o};if(!(i.length<2))for(const e of i)s===e&&(n={name:e,header:a,tables:o})}}}if(n){warn(`TrueType Collection does not contain "${t}" font, falling back to "${n.name}" font instead.`);return{header:n.header,tables:n.tables}}throw new FormatError(`TrueType Collection does not contain "${t}" font.`)}(t,this.name);n=e.header;s=e.tables}else{n=readOpenTypeHeader(t);s=readTables(t,n.numTables)}const l=!s["CFF "];if(l){if(!s.loca)throw new FormatError(\'R\
+equired "loca" table is not found\');if(!s.glyf){warn(\'Required "glyf" table is not found -- trying to recover.\');s.glyf={tag:"glyf",data:new Uint8Array(0)}}this.isOpenType=!1}else{const t=a.composite&&(a.cidToGidMap?.length>0||!(a.cMap instanceof IdentityCMap));if("OTTO"===n.version&&!t||!s.head||!s.hhea||!s.maxp||!s.post){c=new Stream(s["CFF "].data);o=new CFFFont(c,a);return this.convert(e,o,a)}delete s.glyf;delete s.loca;delete s.fpgm;delete s.prep;delete s["cvt "];this.isOpenType=!0}if(!s.ma\
+xp)throw new FormatError(\'Required "maxp" table is not found\');t.pos=(t.start||0)+s.maxp.offset;let h=t.getInt32();const u=t.getUint16();if(65536!==h&&20480!==h){if(6===s.maxp.length)h=20480;else{if(!(s.maxp.length>=32))throw new FormatError(\'"maxp" table has a wrong version number\');h=65536}!function writeUint32(e,t,a){e[t+3]=255&a;e[t+2]=a>>>8;e[t+1]=a>>>16;e[t]=a>>>24}(s.maxp.data,0,h)}if(a.scaleFactors?.length===u&&l){const{scaleFactors:e}=a,t=int16(s.head.data[50],s.head.data[51]),r=new Gly\
+fTable({glyfTable:s.glyf.data,isGlyphLocationsLong:t,locaTable:s.loca.data,numGlyphs:u});r.scale(e);const{glyf:i,loca:n,isLocationLong:o}=r.write();s.glyf.data=i;s.loca.data=n;if(o!==!!t){s.head.data[50]=0;s.head.data[51]=o?1:0}const c=s.hmtx.data;for(let t=0;t<u;t++){const a=4*t,r=Math.round(e[t]*int16(c[a],c[a+1]));c[a]=r>>8&255;c[a+1]=255&r;writeSignedInt16(c,a+2,Math.round(e[t]*signedInt16(c[a+2],c[a+3])))}}let d=u+1,f=!0;if(d>65535){f=!1;d=u;warn("Not enough space in glyfs to duplicate firs\
+t glyph.")}let g=0,p=0;if(h>=65536&&s.maxp.length>=32){t.pos+=8;if(t.getUint16()>2){s.maxp.data[14]=0;s.maxp.data[15]=2}t.pos+=4;g=t.getUint16();t.pos+=4;p=t.getUint16()}s.maxp.data[4]=d>>8;s.maxp.data[5]=255&d;const m=function sanitizeTTPrograms(e,t,a,r){const i={functionsDefined:[],functionsUsed:[],functionsStackDeltas:[],tooComplexToFollowFunctions:!1,hintsValid:!0};e&&sanitizeTTProgram(e,i);t&&sanitizeTTProgram(t,i);e&&function checkInvalidFunctions(e,t){if(!e.tooComplexToFollowFunctions)if(\
+e.functionsDefined.length>t){warn("TT: more functions defined than expected");e.hintsValid=!1}else for(let a=0,r=e.functionsUsed.length;a<r;a++){if(a>t){warn("TT: invalid function id: "+a);e.hintsValid=!1;return}if(e.functionsUsed[a]&&!e.functionsDefined[a]){warn("TT: undefined function: "+a);e.hintsValid=!1;return}}}(i,r);if(a&&1&a.length){const e=new Uint8Array(a.length+1);e.set(a.data);a.data=e}return i.hintsValid}(s.fpgm,s.prep,s["cvt "],g);if(!m){delete s.fpgm;delete s.prep;delete s["cvt "]\
+}!function sanitizeMetrics(e,t,a,r,i,n){if(!t){a&&(a.data=null);return}e.pos=(e.start||0)+t.offset;e.pos+=4;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;const s=e.getUint16();e.pos+=8;e.pos+=2;let o=e.getUint16();if(0!==s){if(!(2&int16(r.data[44],r.data[45]))){t.data[22]=0;t.data[23]=0}}if(o>i){info(`The numOfMetrics (${o}) should not be greater than the numGlyphs (${i}).`);o=i;t.data[34]=(65280&o)>>8;t.data[35]=255&o}const c=i-o-(a.length-4*o>>1);if(c>0){cons\
+t e=new Uint8Array(a.length+2*c);e.set(a.data);if(n){e[a.length]=a.data[2];e[a.length+1]=a.data[3]}a.data=e}}(t,s.hhea,s.hmtx,s.head,d,f);if(!s.head)throw new FormatError(\'Required "head" table is not found\');!function sanitizeHead(e,t,a){const r=e.data,i=function int32(e,t,a,r){return(e<<24)+(t<<16)+(a<<8)+r}(r[0],r[1],r[2],r[3]);if(i>>16!=1){info("Attempting to fix invalid version in head table: "+i);r[0]=0;r[1]=1;r[2]=0;r[3]=0}const n=int16(r[50],r[51]);if(n<0||n>1){info("Attempting to fix in\
+valid indexToLocFormat in head table: "+n);const e=t+1;if(a===e<<1){r[50]=0;r[51]=0}else{if(a!==e<<2)throw new FormatError("Could not fix indexToLocFormat: "+n);r[50]=0;r[51]=1}}}(s.head,u,l?s.loca.length:0);let b=Object.create(null);if(l){const e=int16(s.head.data[50],s.head.data[51]),t=function sanitizeGlyphLocations(e,t,a,r,i,n,s){let o,c,l;if(r){o=4;c=function fontItemDecodeLong(e,t){return e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3]};l=function fontItemEncodeLong(e,t,a){e[t]=a>>>24&255;e[t+1]=a>>1\
+6&255;e[t+2]=a>>8&255;e[t+3]=255&a}}else{o=2;c=function fontItemDecode(e,t){return e[t]<<9|e[t+1]<<1};l=function fontItemEncode(e,t,a){e[t]=a>>9&255;e[t+1]=a>>1&255}}const h=n?a+1:a,u=o*(1+h),d=new Uint8Array(u);d.set(e.data.subarray(0,u));e.data=d;const f=t.data,g=f.length,p=new Uint8Array(g);let m,b;const y=[];for(m=0,b=0;m<a+1;m++,b+=o){let e=c(d,b);e>g&&(e=g);y.push({index:m,offset:e,endOffset:0})}y.sort(((e,t)=>e.offset-t.offset));for(m=0;m<a;m++)y[m].endOffset=y[m+1].offset;y.sort(((e,t)=>\
+e.index-t.index));for(m=0;m<a;m++){const{offset:e,endOffset:t}=y[m];if(0!==e||0!==t)break;const a=y[m+1].offset;if(0!==a){y[m].endOffset=a;break}}const w=y.at(-2);0!==w.offset&&0===w.endOffset&&(w.endOffset=g);const x=Object.create(null);let S=0;l(d,0,S);for(m=0,b=o;m<a;m++,b+=o){const e=sanitizeGlyph(f,y[m].offset,y[m].endOffset,p,S,i),t=e.length;0===t&&(x[m]=!0);e.sizeOfInstructions>s&&(s=e.sizeOfInstructions);S+=t;l(d,b,S)}if(0===S){const e=new Uint8Array([0,1,0,0,0,0,0,0,0,0,0,0,0,0,49,0]);f\
+or(m=0,b=o;m<h;m++,b+=o)l(d,b,e.length);t.data=e}else if(n){const a=c(d,o);if(p.length>a+S)t.data=p.subarray(0,a+S);else{t.data=new Uint8Array(a+S);t.data.set(p.subarray(0,S))}t.data.set(p.subarray(0,a),S);l(e.data,d.length-o,S+a)}else t.data=p.subarray(0,S);return{missingGlyphs:x,maxSizeOfInstructions:s}}(s.loca,s.glyf,u,e,m,f,p);b=t.missingGlyphs;if(h>=65536&&s.maxp.length>=32){s.maxp.data[26]=t.maxSizeOfInstructions>>8;s.maxp.data[27]=255&t.maxSizeOfInstructions}}if(!s.hhea)throw new FormatEr\
+ror(\'Required "hhea" table is not found\');if(0===s.hhea.data[10]&&0===s.hhea.data[11]){s.hhea.data[10]=255;s.hhea.data[11]=255}const y={unitsPerEm:int16(s.head.data[18],s.head.data[19]),yMax:signedInt16(s.head.data[42],s.head.data[43]),yMin:signedInt16(s.head.data[38],s.head.data[39]),ascent:signedInt16(s.hhea.data[4],s.hhea.data[5]),descent:signedInt16(s.hhea.data[6],s.hhea.data[7]),lineGap:signedInt16(s.hhea.data[8],s.hhea.data[9])};this.ascent=y.ascent/y.unitsPerEm;this.descent=y.descent/y.un\
+itsPerEm;this.lineGap=y.lineGap/y.unitsPerEm;if(this.cssFontInfo?.lineHeight){this.lineHeight=this.cssFontInfo.metrics.lineHeight;this.lineGap=this.cssFontInfo.metrics.lineGap}else this.lineHeight=this.ascent-this.descent+this.lineGap;s.post&&function readPostScriptTable(e,a,r){const i=(t.start||0)+e.offset;t.pos=i;const n=i+e.length,s=t.getInt32();t.skip(28);let o,c,l=!0;switch(s){case 65536:o=jr;break;case 131072:const e=t.getUint16();if(e!==r){l=!1;break}const i=[];for(c=0;c<e;++c){const e=t.\
+getUint16();if(e>=32768){l=!1;break}i.push(e)}if(!l)break;const h=[],u=[];for(;t.pos<n;){const e=t.getByte();u.length=e;for(c=0;c<e;++c)u[c]=String.fromCharCode(t.getByte());h.push(u.join(""))}o=[];for(c=0;c<e;++c){const e=i[c];e<258?o.push(jr[e]):o.push(h[e-258])}break;case 196608:break;default:warn("Unknown/unsupported post table version "+s);l=!1;a.defaultEncoding&&(o=a.defaultEncoding)}a.glyphNames=o;return l}(s.post,a,u);s.post={tag:"post",data:createPostTable(a)};const w=Object.create(null\
+);function hasGlyph(e){return!b[e]}if(a.composite){const e=a.cidToGidMap||[],t=0===e.length;a.cMap.forEach((function(a,r){"string"==typeof r&&(r=convertCidString(a,r,!0));if(r>65535)throw new FormatError("Max size of CID is 65,535");let i=-1;t?i=r:void 0!==e[r]&&(i=e[r]);i>=0&&i<u&&hasGlyph(i)&&(w[a]=i)}))}else{const e=function readCmapTable(e,t,a,r){if(!e){warn("No cmap table available.");return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}let i,n=(t.start||0)+e.offset;t.pos=n;t.ski\
+p(2);const s=t.getUint16();let o,c=!1;for(let e=0;e<s;e++){const i=t.getUint16(),n=t.getUint16(),l=t.getInt32()>>>0;let h=!1;if(o?.platformId!==i||o?.encodingId!==n){if(0!==i||0!==n&&1!==n&&3!==n)if(1===i&&0===n)h=!0;else if(3!==i||1!==n||!r&&o){if(a&&3===i&&0===n){h=!0;let a=!0;if(e<s-1){const e=t.peekBytes(2);int16(e[0],e[1])<i&&(a=!1)}a&&(c=!0)}}else{h=!0;a||(c=!0)}else h=!0;h&&(o={platformId:i,encodingId:n,offset:l});if(c)break}}o&&(t.pos=n+o.offset);if(!o||-1===t.peekByte()){warn("Could not\
+ find a preferred cmap table.");return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}const l=t.getUint16();let h=!1;const u=[];let d,f;if(0===l){t.skip(4);for(d=0;d<256;d++){const e=t.getByte();e&&u.push({charCode:d,glyphId:e})}h=!0}else if(2===l){t.skip(4);const e=[];let a=0;for(let r=0;r<256;r++){const r=t.getUint16()>>3;e.push(r);a=Math.max(r,a)}const r=[];for(let e=0;e<=a;e++)r.push({firstCode:t.getUint16(),entryCount:t.getUint16(),idDelta:signedInt16(t.getByte(),t.getByte()),idRa\
+ngePos:t.pos+t.getUint16()});for(let a=0;a<256;a++)if(0===e[a]){t.pos=r[0].idRangePos+2*a;f=t.getUint16();u.push({charCode:a,glyphId:f})}else{const i=r[e[a]];for(d=0;d<i.entryCount;d++){const e=(a<<8)+d+i.firstCode;t.pos=i.idRangePos+2*d;f=t.getUint16();0!==f&&(f=(f+i.idDelta)%65536);u.push({charCode:e,glyphId:f})}}}else if(4===l){t.skip(4);const e=t.getUint16()>>1;t.skip(6);const a=[];let r;for(r=0;r<e;r++)a.push({end:t.getUint16()});t.skip(2);for(r=0;r<e;r++)a[r].start=t.getUint16();for(r=0;r<\
+e;r++)a[r].delta=t.getUint16();let s,o=0;for(r=0;r<e;r++){i=a[r];const n=t.getUint16();if(n){s=(n>>1)-(e-r);i.offsetIndex=s;o=Math.max(o,s+i.end-i.start+1)}else i.offsetIndex=-1}const c=[];for(d=0;d<o;d++)c.push(t.getUint16());for(r=0;r<e;r++){i=a[r];n=i.start;const e=i.end,t=i.delta;s=i.offsetIndex;for(d=n;d<=e;d++)if(65535!==d){f=s<0?d:c[s+d-n];f=f+t&65535;u.push({charCode:d,glyphId:f})}}}else if(6===l){t.skip(4);const e=t.getUint16(),a=t.getUint16();for(d=0;d<a;d++){f=t.getUint16();const a=e+\
+d;u.push({charCode:a,glyphId:f})}}else{if(12!==l){warn("cmap table has unsupported format: "+l);return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}{t.skip(10);const e=t.getInt32()>>>0;for(d=0;d<e;d++){const e=t.getInt32()>>>0,a=t.getInt32()>>>0;let r=t.getInt32()>>>0;for(let t=e;t<=a;t++)u.push({charCode:t,glyphId:r++})}}}u.sort(((e,t)=>e.charCode-t.charCode));const g=[],p=new Set;for(const e of u){const{charCode:t}=e;if(!p.has(t)){p.add(t);g.push(e)}}return{platformId:o.platformId,\
+encodingId:o.encodingId,mappings:g,hasShortCmap:h}}(s.cmap,t,this.isSymbolicFont,a.hasEncoding),r=e.platformId,i=e.encodingId,n=e.mappings;let o=[],c=!1;!a.hasEncoding||"MacRomanEncoding"!==a.baseEncodingName&&"WinAnsiEncoding"!==a.baseEncodingName||(o=getEncoding(a.baseEncodingName));if(a.hasEncoding&&!this.isSymbolicFont&&(3===r&&1===i||1===r&&0===i)){const e=Fr();for(let t=0;t<256;t++){let s;s=void 0!==this.differences[t]?this.differences[t]:o.length&&""!==o[t]?o[t]:Ar[t];if(!s)continue;const\
+ c=recoverGlyphName(s,e);let l;3===r&&1===i?l=e[c]:1===r&&0===i&&(l=Sr.indexOf(c));if(void 0===l){if(!a.glyphNames&&a.hasIncludedToUnicodeMap&&!(this.toUnicode instanceof IdentityToUnicodeMap)){const e=this.toUnicode.get(t);e&&(l=e.codePointAt(0))}if(void 0===l)continue}for(const e of n)if(e.charCode===l){w[t]=e.glyphId;break}}}else if(0===r){for(const e of n)w[e.charCode]=e.glyphId;c=!0}else if(3===r&&0===i)for(const e of n){let t=e.charCode;t>=61440&&t<=61695&&(t&=255);w[t]=e.glyphId}else for(\
+const e of n)w[e.charCode]=e.glyphId;if(a.glyphNames&&(o.length||this.differences.length))for(let e=0;e<256;++e){if(!c&&void 0!==w[e])continue;const t=this.differences[e]||o[e];if(!t)continue;const r=a.glyphNames.indexOf(t);r>0&&hasGlyph(r)&&(w[e]=r)}}0===w.length&&(w[0]=0);let x=d-1;f||(x=0);if(!a.cssFontInfo){const e=adjustMapping(w,hasGlyph,x,this.toUnicode);this.toFontChar=e.toFontChar;s.cmap={tag:"cmap",data:createCmapTable(e.charCodeToGlyphId,e.toUnicodeExtraMap,d)};s["OS/2"]&&function val\
+idateOS2Table(e,t){t.pos=(t.start||0)+e.offset;const a=t.getUint16();t.skip(60);const r=t.getUint16();if(a<4&&768&r)return!1;if(t.getUint16()>t.getUint16())return!1;t.skip(6);if(0===t.getUint16())return!1;e.data[8]=e.data[9]=0;return!0}(s["OS/2"],t)||(s["OS/2"]={tag:"OS/2",data:createOS2Table(a,e.charCodeToGlyphId,y)})}if(!l)try{c=new Stream(s["CFF "].data);o=new CFFParser(c,a,Rr).parse();o.duplicateFirstGlyph();const e=new CFFCompiler(o);s["CFF "].data=e.compile()}catch{warn("Failed to compile \
+font "+a.loadedName)}if(s.name){const[t,r]=readNameTable(s.name);s.name.data=createNameTable(e,t);this.psName=t[0][6]||null;a.composite||function adjustTrueTypeToUnicode(e,t,a){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(e.hasEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;if(!t)return;if(0===a.length)return;if(e.defaultEncoding===kr)return;for(const e of a)if(!isWinNameRecord(e))return;const r=kr,i=[],n=Fr();for(const e in r){const t=r[e];if(""===t)co\
+ntinue;const a=n[t];void 0!==a&&(i[e]=String.fromCharCode(a))}i.length>0&&e.toUnicode.amend(i)}(a,this.isSymbolicFont,r)}else s.name={tag:"name",data:createNameTable(this.name)};const S=new OpenTypeFileBuilder(n.version);for(const e in s)S.addTable(e,s[e].data);return S.toArray()}convert(e,a,r){r.fixedPitch=!1;r.builtInEncoding&&function adjustType1ToUnicode(e,t){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(t===e.defaultEncoding)return;if(e.toUnicode instanceof IdentityToUni\
+codeMap)return;const a=[],r=Fr();for(const i in t){if(e.hasEncoding&&(e.baseEncodingName||void 0!==e.differences[i]))continue;const n=getUnicodeForGlyph(t[i],r);-1!==n&&(a[i]=String.fromCharCode(n))}a.length>0&&e.toUnicode.amend(a)}(r,r.builtInEncoding);let i=1;a instanceof CFFFont&&(i=a.numGlyphs-1);const n=a.getGlyphMapping(r);let s=null,o=n,c=null;if(!r.cssFontInfo){s=adjustMapping(n,a.hasGlyphId.bind(a),i,this.toUnicode);this.toFontChar=s.toFontChar;o=s.charCodeToGlyphId;c=s.toUnicodeExtraMa\
+p}const l=a.numGlyphs;function getCharCodes(e,t){let a=null;for(const r in e)t===e[r]&&(a||=[]).push(0|r);return a}function createCharCode(e,t){for(const a in e)if(t===e[a])return 0|a;s.charCodeToGlyphId[s.nextAvailableFontCharCode]=t;return s.nextAvailableFontCharCode++}const h=a.seacs;if(s&&h?.length){const e=r.fontMatrix||t,i=a.getCharset(),o=Object.create(null);for(let t in h){t|=0;const a=h[t],r=Ar[a[2]],c=Ar[a[3]],l=i.indexOf(r),u=i.indexOf(c);if(l<0||u<0)continue;const d={x:a[0]*e[0]+a[1]\
+*e[2]+e[4],y:a[0]*e[1]+a[1]*e[3]+e[5]},f=getCharCodes(n,t);if(f)for(const e of f){const t=s.charCodeToGlyphId,a=createCharCode(t,l),r=createCharCode(t,u);o[e]={baseFontCharCode:a,accentFontCharCode:r,accentOffset:d}}}r.seacMap=o}const u=r.fontMatrix?1/Math.max(...r.fontMatrix.slice(0,4).map(Math.abs)):1e3,d=new OpenTypeFileBuilder("OTTO");d.addTable("CFF ",a.data);d.addTable("OS/2",createOS2Table(r,o));d.addTable("cmap",createCmapTable(o,c,l));d.addTable("head","\\0
\\0\\0\\0\\0\\0\\0\\0\\0\\0_<õ\\0\\0"+s\
+afeString16(u)+"\\0\\0\\0\\0ž\\v~\'\\0\\0\\0\\0ž\\v~\'\\0\\0"+safeString16(r.descent)+"ÿ"+safeString16(r.ascent)+string16(r.italicAngle?2:0)+"\\0\\0\\0\\0\\0\\0\\0");d.addTable("hhea","\\0
\\0\\0"+safeString16(r.ascent)+safeString16(r.descent)+"\\0\\0ÿÿ\\0\\0\\0\\0\\0\\0"+safeString16(r.capHeight)+safeString16(Math.tan(r.italicAngle)*r.xHeight)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"+string16(l));d.addTable("hmtx",function fontFieldsHmtx(){const e=a.charstrings,t=a.cff?a.cff.widths:null;let r="\\0\\0\\0\\0";for(let a=1,i=l;a<i;a++){let i=0;i\
+f(e){const t=e[a-1];i="width"in t?t.width:0}else t&&(i=Math.ceil(t[a]||0));r+=string16(i)+string16(0)}return r}());d.addTable("maxp","\\0\\0P\\0"+string16(l));d.addTable("name",createNameTable(e));d.addTable("post",createPostTable(r));return d.toArray()}get _spaceWidth(){const e=["space","minus","one","i","I"];let t;for(const a of e){if(a in this.widths){t=this.widths[a];break}const e=Fr()[a];let r=0;if(this.composite&&this.cMap.contains(e)){r=this.cMap.lookup(e);"string"==typeof r&&(r=convertCidSt\
+ring(e,r))}!r&&this.toUnicode&&(r=this.toUnicode.charCodeOf(e));r<=0&&(r=e);t=this.widths[r];if(t)break}return shadow(this,"_spaceWidth",t||this.defaultWidth)}_charToGlyph(e,t=!1){let a,r,i,n=this._glyphCache[e];if(n?.isSpace===t)return n;let s=e;if(this.cMap?.contains(e)){s=this.cMap.lookup(e);"string"==typeof s&&(s=convertCidString(e,s))}r=this.widths[s];"number"!=typeof r&&(r=this.defaultWidth);const o=this.vmetrics?.[s];let c=this.toUnicode.get(e)||e;"number"==typeof c&&(c=String.fromCharCod\
+e(c));let l=void 0!==this.toFontChar[e];a=this.toFontChar[e]||e;if(this.missingFile){const t=this.differences[e]||this.defaultEncoding[e];if((".notdef"===t||""===t)&&"Type1"===this.type){a=32;if(""===t){r||=this._spaceWidth;c=String.fromCharCode(a)}}a=function mapSpecialUnicodeValues(e){return e>=65520&&e<=65535?0:e>=62976&&e<=63743?Tr()[e]||e:173===e?45:e}(a)}this.isType3Font&&(i=a);let h=null;if(this.seacMap?.[e]){l=!0;const t=this.seacMap[e];a=t.baseFontCharCode;h={fontChar:String.fromCodePoi\
+nt(t.accentFontCharCode),offset:t.accentOffset}}let u="";"number"==typeof a&&(a<=1114111?u=String.fromCodePoint(a):warn(`charToGlyph - invalid fontCharCode: ${a}`));if(this.missingFile&&this.vertical&&1===u.length){const e=_r()[u.charCodeAt(0)];e&&(u=c=String.fromCharCode(e))}n=new fonts_Glyph(e,u,c,h,r,o,i,t,l);return this._glyphCache[e]=n}charsToGlyphs(e){let t=this._charsCache[e];if(t)return t;t=[];if(this.cMap){const a=Object.create(null),r=e.length;let i=0;for(;i<r;){this.cMap.readCharCode(\
+e,i,a);const{charcode:r,length:n}=a;i+=n;const s=this._charToGlyph(r,1===n&&32===e.charCodeAt(i-1));t.push(s)}}else for(let a=0,r=e.length;a<r;++a){const r=e.charCodeAt(a),i=this._charToGlyph(r,32===r);t.push(i)}return this._charsCache[e]=t}getCharPositions(e){const t=[];if(this.cMap){const a=Object.create(null);let r=0;for(;r<e.length;){this.cMap.readCharCode(e,r,a);const i=a.length;t.push([r,r+i]);r+=i}}else for(let a=0,r=e.length;a<r;++a)t.push([a,a+1]);return t}get glyphCacheValues(){return \
+Object.values(this._glyphCache)}encodeString(e){const t=[],a=[],hasCurrentBufErrors=()=>t.length%2==1,r=this.toUnicode instanceof IdentityToUnicodeMap?e=>this.toUnicode.charCodeOf(e):e=>this.toUnicode.charCodeOf(String.fromCodePoint(e));for(let i=0,n=e.length;i<n;i++){const n=e.codePointAt(i);n>55295&&(n<57344||n>65533)&&i++;if(this.toUnicode){const e=r(n);if(-1!==e){if(hasCurrentBufErrors()){t.push(a.join(""));a.length=0}for(let t=(this.cMap?this.cMap.getCharCodeLength(e):1)-1;t>=0;t--)a.push(S\
+tring.fromCharCode(e>>8*t&255));continue}}if(!hasCurrentBufErrors()){t.push(a.join(""));a.length=0}a.push(String.fromCodePoint(n))}t.push(a.join(""));return t}}class ErrorFont{constructor(e){this.error=e;this.loadedName="g_font_error";this.missingFile=!0}charsToGlyphs(){return[]}encodeString(e){return[e]}exportData(){return{error:this.error}}}const Si=2,Ai=3,ki=4,Ci=5,vi=6,Fi=7;class Pattern{constructor(){unreachable("Cannot initialize Pattern.")}static parseShading(e,t,a,r,i,n){const s=e instan\
+ceof BaseStream?e.dict:e,o=s.get("ShadingType");try{switch(o){case Si:case Ai:return new RadialAxialShading(s,t,a,r,i,n);case ki:case Ci:case vi:case Fi:return new MeshShading(e,t,a,r,i,n);default:throw new FormatError("Unsupported ShadingType: "+o)}}catch(e){if(e instanceof MissingDataException)throw e;warn(e);return new DummyShading}}}class BaseShading{static SMALL_NUMBER=1e-6;getIR(){unreachable("Abstract method `getIR` called.")}}class RadialAxialShading extends BaseShading{constructor(e,t,a\
+,r,i,n){super();this.shadingType=e.get("ShadingType");let s=0;this.shadingType===Si?s=4:this.shadingType===Ai&&(s=6);this.coordsArr=e.getArray("Coords");if(!isNumberArray(this.coordsArr,s))throw new FormatError("RadialAxialShading: Invalid /Coords array.");const o=ColorSpaceUtils.parse({cs:e.getRaw("CS")||e.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.bbox=lookupNormalRect(e.getArray("BBox"),null);let c=0,l=1;const h=e.getArra\
+y("Domain");isNumberArray(h,2)&&([c,l]=h);let u=!1,d=!1;const f=e.getArray("Extend");(function isBooleanArray(e,t){return Array.isArray(e)&&(null===t||e.length===t)&&e.every((e=>"boolean"==typeof e))})(f,2)&&([u,d]=f);if(!(this.shadingType!==Ai||u&&d)){const[e,t,a,r,i,n]=this.coordsArr,s=Math.hypot(e-r,t-i);a<=n+s&&n<=a+s&&warn("Unsupported radial gradient.")}this.extendStart=u;this.extendEnd=d;const g=e.getRaw("Function"),p=r.create(g,!0),m=(l-c)/840,b=this.colorStops=[];if(c>=l||m<=0){info("Ba\
+d shading domain.");return}const y=new Float32Array(o.numComps),w=new Float32Array(1);let x=0;w[0]=c;p(w,0,y,0);const S=new Uint8ClampedArray(3);o.getRgb(y,0,S);let[k,C,v]=S;b.push([0,Util.makeHexColor(k,C,v)]);let F=1;w[0]=c+m;p(w,0,y,0);o.getRgb(y,0,S);let[T,O,M]=S,D=T-k+1,R=O-C+1,N=M-v+1,E=T-k-1,L=O-C-1,j=M-v-1;for(let e=2;e<840;e++){w[0]=c+e*m;p(w,0,y,0);o.getRgb(y,0,S);const[t,a,r]=S,i=e-x;D=Math.min(D,(t-k+1)/i);R=Math.min(R,(a-C+1)/i);N=Math.min(N,(r-v+1)/i);E=Math.max(E,(t-k-1)/i);L=Math\
+.max(L,(a-C-1)/i);j=Math.max(j,(r-v-1)/i);if(!(E<=D&&L<=R&&j<=N)){const e=Util.makeHexColor(T,O,M);b.push([F/840,e]);D=t-T+1;R=a-O+1;N=r-M+1;E=t-T-1;L=a-O-1;j=r-M-1;x=F;k=T;C=O;v=M}F=e;T=t;O=a;M=r}b.push([1,Util.makeHexColor(T,O,M)]);let _="transparent";e.has("Background")&&(_=o.getRgbHex(e.get("Background"),0));if(!u){b.unshift([0,_]);b[1][0]+=BaseShading.SMALL_NUMBER}if(!d){b.at(-1)[0]-=BaseShading.SMALL_NUMBER;b.push([1,_])}this.colorStops=b}getIR(){const{coordsArr:e,shadingType:t}=this;let a\
+,r,i,n,s;if(t===Si){r=[e[0],e[1]];i=[e[2],e[3]];n=null;s=null;a="axial"}else if(t===Ai){r=[e[0],e[1]];i=[e[3],e[4]];n=e[2];s=e[5];a="radial"}else unreachable(`getPattern type unknown: ${t}`);return["RadialAxial",a,this.bbox,this.colorStops,r,i,n,s]}}class MeshStreamReader{constructor(e,t){this.stream=e;this.context=t;this.buffer=0;this.bufferLength=0;const a=t.numComps;this.tmpCompsBuf=new Float32Array(a);const r=t.colorSpace.numComps;this.tmpCsCompsBuf=t.colorFn?new Float32Array(r):this.tmpComp\
+sBuf}get hasData(){if(this.stream.end)return this.stream.pos<this.stream.end;if(this.bufferLength>0)return!0;const e=this.stream.getByte();if(e<0)return!1;this.buffer=e;this.bufferLength=8;return!0}readBits(e){const{stream:t}=this;let{buffer:a,bufferLength:r}=this;if(32===e){if(0===r)return t.getInt32()>>>0;a=a<<24|t.getByte()<<16|t.getByte()<<8|t.getByte();const e=t.getByte();this.buffer=e&(1<<r)-1;return(a<<8-r|(255&e)>>r)>>>0}if(8===e&&0===r)return t.getByte();for(;r<e;){a=a<<8|t.getByte();r+\
+=8}r-=e;this.bufferLength=r;this.buffer=a&(1<<r)-1;return a>>r}align(){this.buffer=0;this.bufferLength=0}readFlag(){return this.readBits(this.context.bitsPerFlag)}readCoordinate(){const{bitsPerCoordinate:e,decode:t}=this.context,a=this.readBits(e),r=this.readBits(e),i=e<32?1/((1<<e)-1):2.3283064365386963e-10;return[a*i*(t[1]-t[0])+t[0],r*i*(t[3]-t[2])+t[2]]}readComponents(){const{bitsPerComponent:e,colorFn:t,colorSpace:a,decode:r,numComps:i}=this.context,n=e<32?1/((1<<e)-1):2.3283064365386963e-1\
+0,s=this.tmpCompsBuf;for(let t=0,a=4;t<i;t++,a+=2){const i=this.readBits(e);s[t]=i*n*(r[a+1]-r[a])+r[a]}const o=this.tmpCsCompsBuf;t?.(s,0,o,0);return a.getRgb(o,0)}}let Ii=Object.create(null);function getB(e){return Ii[e]||=function buildB(e){const t=[];for(let a=0;a<=e;a++){const r=a/e,i=1-r;t.push(new Float32Array([i**3,3*r*i**2,3*r**2*i,r**3]))}return t}(e)}class MeshShading extends BaseShading{static MIN_SPLIT_PATCH_CHUNKS_AMOUNT=3;static MAX_SPLIT_PATCH_CHUNKS_AMOUNT=20;static TRIANGLE_DEN\
+SITY=20;constructor(e,t,a,r,i,n){super();if(!(e instanceof BaseStream))throw new FormatError("Mesh data is not a stream");const s=e.dict;this.shadingType=s.get("ShadingType");this.bbox=lookupNormalRect(s.getArray("BBox"),null);const o=ColorSpaceUtils.parse({cs:s.getRaw("CS")||s.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.background=s.has("Background")?o.getRgb(s.get("Background"),0):null;const c=s.getRaw("Function"),l=c?r.cre\
+ate(c,!0):null;this.coords=[];this.colors=[];this.figures=[];const h={bitsPerCoordinate:s.get("BitsPerCoordinate"),bitsPerComponent:s.get("BitsPerComponent"),bitsPerFlag:s.get("BitsPerFlag"),decode:s.getArray("Decode"),colorFn:l,colorSpace:o,numComps:l?1:o.numComps},u=new MeshStreamReader(e,h);let d=!1;switch(this.shadingType){case ki:this._decodeType4Shading(u);break;case Ci:const e=0|s.get("VerticesPerRow");if(e<2)throw new FormatError("Invalid VerticesPerRow");this._decodeType5Shading(u,e);br\
+eak;case vi:this._decodeType6Shading(u);d=!0;break;case Fi:this._decodeType7Shading(u);d=!0;break;default:unreachable("Unsupported mesh type.")}if(d){this._updateBounds();for(let e=0,t=this.figures.length;e<t;e++)this._buildFigureFromPatch(e)}this._updateBounds();this._packData()}_decodeType4Shading(e){const t=this.coords,a=this.colors,r=[],i=[];let n=0;for(;e.hasData;){const s=e.readFlag(),o=e.readCoordinate(),c=e.readComponents();if(0===n){if(!(0<=s&&s<=2))throw new FormatError("Unknown type4 \
+flag");switch(s){case 0:n=3;break;case 1:i.push(i.at(-2),i.at(-1));n=1;break;case 2:i.push(i.at(-3),i.at(-1));n=1}r.push(s)}i.push(t.length);t.push(o);a.push(c);n--;e.align()}this.figures.push({type:"triangles",coords:new Int32Array(i),colors:new Int32Array(i)})}_decodeType5Shading(e,t){const a=this.coords,r=this.colors,i=[];for(;e.hasData;){const t=e.readCoordinate(),n=e.readComponents();i.push(a.length);a.push(t);r.push(n)}this.figures.push({type:"lattice",coords:new Int32Array(i),colors:new I\
+nt32Array(i),verticesPerRow:t})}_decodeType6Shading(e){const t=this.coords,a=this.colors,r=new Int32Array(16),i=new Int32Array(4);for(;e.hasData;){const n=e.readFlag();if(!(0<=n&&n<=3))throw new FormatError("Unknown type6 flag");const s=t.length;for(let a=0,r=0!==n?8:12;a<r;a++)t.push(e.readCoordinate());const o=a.length;for(let t=0,r=0!==n?2:4;t<r;t++)a.push(e.readComponents());let c,l,h,u;switch(n){case 0:r[12]=s+3;r[13]=s+4;r[14]=s+5;r[15]=s+6;r[8]=s+2;r[11]=s+7;r[4]=s+1;r[7]=s+8;r[0]=s;r[1]=\
+s+11;r[2]=s+10;r[3]=s+9;i[2]=o+1;i[3]=o+2;i[0]=o;i[1]=o+3;break;case 1:c=r[12];l=r[13];h=r[14];u=r[15];r[12]=u;r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=h;r[11]=s+3;r[4]=l;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[2];l=i[3];i[2]=l;i[3]=o;i[0]=c;i[1]=o+1;break;case 2:c=r[15];l=r[11];r[12]=r[3];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[7];r[11]=s+3;r[4]=l;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[3];i[2]=i[1];i[3]=o;i[0]=c;i[1]=o+1;break;case 3:r[12]=r[0];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[1];r[11\
+]=s+3;r[4]=r[2];r[7]=s+4;r[0]=r[3];r[1]=s+7;r[2]=s+6;r[3]=s+5;i[2]=i[0];i[3]=o;i[0]=i[1];i[1]=o+1}r[5]=t.length;t.push([(-4*t[r[0]][0]-t[r[15]][0]+6*(t[r[4]][0]+t[r[1]][0])-2*(t[r[12]][0]+t[r[3]][0])+3*(t[r[13]][0]+t[r[7]][0]))/9,(-4*t[r[0]][1]-t[r[15]][1]+6*(t[r[4]][1]+t[r[1]][1])-2*(t[r[12]][1]+t[r[3]][1])+3*(t[r[13]][1]+t[r[7]][1]))/9]);r[6]=t.length;t.push([(-4*t[r[3]][0]-t[r[12]][0]+6*(t[r[2]][0]+t[r[7]][0])-2*(t[r[0]][0]+t[r[15]][0])+3*(t[r[4]][0]+t[r[14]][0]))/9,(-4*t[r[3]][1]-t[r[12]][1]\
++6*(t[r[2]][1]+t[r[7]][1])-2*(t[r[0]][1]+t[r[15]][1])+3*(t[r[4]][1]+t[r[14]][1]))/9]);r[9]=t.length;t.push([(-4*t[r[12]][0]-t[r[3]][0]+6*(t[r[8]][0]+t[r[13]][0])-2*(t[r[0]][0]+t[r[15]][0])+3*(t[r[11]][0]+t[r[1]][0]))/9,(-4*t[r[12]][1]-t[r[3]][1]+6*(t[r[8]][1]+t[r[13]][1])-2*(t[r[0]][1]+t[r[15]][1])+3*(t[r[11]][1]+t[r[1]][1]))/9]);r[10]=t.length;t.push([(-4*t[r[15]][0]-t[r[0]][0]+6*(t[r[11]][0]+t[r[14]][0])-2*(t[r[12]][0]+t[r[3]][0])+3*(t[r[2]][0]+t[r[8]][0]))/9,(-4*t[r[15]][1]-t[r[0]][1]+6*(t[r[\
+11]][1]+t[r[14]][1])-2*(t[r[12]][1]+t[r[3]][1])+3*(t[r[2]][1]+t[r[8]][1]))/9]);this.figures.push({type:"patch",coords:new Int32Array(r),colors:new Int32Array(i)})}}_decodeType7Shading(e){const t=this.coords,a=this.colors,r=new Int32Array(16),i=new Int32Array(4);for(;e.hasData;){const n=e.readFlag();if(!(0<=n&&n<=3))throw new FormatError("Unknown type7 flag");const s=t.length;for(let a=0,r=0!==n?12:16;a<r;a++)t.push(e.readCoordinate());const o=a.length;for(let t=0,r=0!==n?2:4;t<r;t++)a.push(e.rea\
+dComponents());let c,l,h,u;switch(n){case 0:r[12]=s+3;r[13]=s+4;r[14]=s+5;r[15]=s+6;r[8]=s+2;r[9]=s+13;r[10]=s+14;r[11]=s+7;r[4]=s+1;r[5]=s+12;r[6]=s+15;r[7]=s+8;r[0]=s;r[1]=s+11;r[2]=s+10;r[3]=s+9;i[2]=o+1;i[3]=o+2;i[0]=o;i[1]=o+3;break;case 1:c=r[12];l=r[13];h=r[14];u=r[15];r[12]=u;r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=h;r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=l;r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[2];l=i[3];i[2]=l;i[3]=o;i[0]=c;i[1]=o+1;break;case 2:c=r[15];l=r[11];r[12]=\
+r[3];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[7];r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=l;r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[3];i[2]=i[1];i[3]=o;i[0]=c;i[1]=o+1;break;case 3:r[12]=r[0];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[1];r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=r[2];r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=r[3];r[1]=s+7;r[2]=s+6;r[3]=s+5;i[2]=i[0];i[3]=o;i[0]=i[1];i[1]=o+1}this.figures.push({type:"patch",coords:new Int32Array(r),colors:new Int32Array(i)})}}_buildFigureFromPatch(e){c\
+onst t=this.figures[e];assert("patch"===t.type,"Unexpected patch mesh figure");const a=this.coords,r=this.colors,i=t.coords,n=t.colors,s=Math.min(a[i[0]][0],a[i[3]][0],a[i[12]][0],a[i[15]][0]),o=Math.min(a[i[0]][1],a[i[3]][1],a[i[12]][1],a[i[15]][1]),c=Math.max(a[i[0]][0],a[i[3]][0],a[i[12]][0],a[i[15]][0]),l=Math.max(a[i[0]][1],a[i[3]][1],a[i[12]][1],a[i[15]][1]);let h=Math.ceil((c-s)*MeshShading.TRIANGLE_DENSITY/(this.bounds[2]-this.bounds[0]));h=MathClamp(h,MeshShading.MIN_SPLIT_PATCH_CHUNKS_\
+AMOUNT,MeshShading.MAX_SPLIT_PATCH_CHUNKS_AMOUNT);let u=Math.ceil((l-o)*MeshShading.TRIANGLE_DENSITY/(this.bounds[3]-this.bounds[1]));u=MathClamp(u,MeshShading.MIN_SPLIT_PATCH_CHUNKS_AMOUNT,MeshShading.MAX_SPLIT_PATCH_CHUNKS_AMOUNT);const d=h+1,f=new Int32Array((u+1)*d),g=new Int32Array((u+1)*d);let p=0;const m=new Uint8Array(3),b=new Uint8Array(3),y=r[n[0]],w=r[n[1]],x=r[n[2]],S=r[n[3]],k=getB(u),C=getB(h);for(let e=0;e<=u;e++){m[0]=(y[0]*(u-e)+x[0]*e)/u|0;m[1]=(y[1]*(u-e)+x[1]*e)/u|0;m[2]=(y[2\
+]*(u-e)+x[2]*e)/u|0;b[0]=(w[0]*(u-e)+S[0]*e)/u|0;b[1]=(w[1]*(u-e)+S[1]*e)/u|0;b[2]=(w[2]*(u-e)+S[2]*e)/u|0;for(let t=0;t<=h;t++,p++){if(!(0!==e&&e!==u||0!==t&&t!==h))continue;let n=0,s=0,o=0;for(let r=0;r<=3;r++)for(let c=0;c<=3;c++,o++){const l=k[e][r]*C[t][c];n+=a[i[o]][0]*l;s+=a[i[o]][1]*l}f[p]=a.length;a.push([n,s]);g[p]=r.length;const c=new Uint8Array(3);c[0]=(m[0]*(h-t)+b[0]*t)/h|0;c[1]=(m[1]*(h-t)+b[1]*t)/h|0;c[2]=(m[2]*(h-t)+b[2]*t)/h|0;r.push(c)}}f[0]=i[0];g[0]=n[0];f[h]=i[3];g[h]=n[1];\
+f[d*u]=i[12];g[d*u]=n[2];f[d*u+h]=i[15];g[d*u+h]=n[3];this.figures[e]={type:"lattice",coords:f,colors:g,verticesPerRow:d}}_updateBounds(){let e=this.coords[0][0],t=this.coords[0][1],a=e,r=t;for(let i=1,n=this.coords.length;i<n;i++){const n=this.coords[i][0],s=this.coords[i][1];e=e>n?n:e;t=t>s?s:t;a=a<n?n:a;r=r<s?s:r}this.bounds=[e,t,a,r]}_packData(){let e,t,a,r;const i=this.coords,n=new Float32Array(2*i.length);for(e=0,a=0,t=i.length;e<t;e++){const t=i[e];n[a++]=t[0];n[a++]=t[1]}this.coords=n;co\
+nst s=this.colors,o=new Uint8Array(3*s.length);for(e=0,a=0,t=s.length;e<t;e++){const t=s[e];o[a++]=t[0];o[a++]=t[1];o[a++]=t[2]}this.colors=o;const c=this.figures;for(e=0,t=c.length;e<t;e++){const t=c[e],i=t.coords,n=t.colors;for(a=0,r=i.length;a<r;a++){i[a]*=2;n[a]*=3}}}getIR(){const{bounds:e}=this;if(e[2]-e[0]==0||e[3]-e[1]==0)throw new FormatError(`Invalid MeshShading bounds: [${e}].`);return["Mesh",this.shadingType,this.coords,this.colors,this.figures,e,this.bbox,this.background]}}class Dumm\
+yShading extends BaseShading{getIR(){return["Dummy"]}}function getTilingPatternIR(e,t,a){const r=lookupMatrix(t.getArray("Matrix"),Fa),i=lookupNormalRect(t.getArray("BBox"),null);if(!i||i[2]-i[0]==0||i[3]-i[1]==0)throw new FormatError("Invalid getTilingPatternIR /BBox array.");const n=t.get("XStep");if("number"!=typeof n)throw new FormatError("Invalid getTilingPatternIR /XStep value.");const s=t.get("YStep");if("number"!=typeof s)throw new FormatError("Invalid getTilingPatternIR /YStep value.");\
+const o=t.get("PaintType");if(!Number.isInteger(o))throw new FormatError("Invalid getTilingPatternIR /PaintType value.");const c=t.get("TilingType");if(!Number.isInteger(c))throw new FormatError("Invalid getTilingPatternIR /TilingType value.");return["TilingPattern",a,e,r,i,n,s,o,c]}const Ti=[1.3877,1,1,1,.97801,.92482,.89552,.91133,.81988,.97566,.98152,.93548,.93548,1.2798,.85284,.92794,1,.96134,1.54657,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.82845,.82845,.85284,.\
+85284,.85284,.75859,.92138,.83908,.7762,.73293,.87289,.73133,.7514,.81921,.87356,.95958,.59526,.75727,.69225,1.04924,.9121,.86943,.79795,.88198,.77958,.70864,.81055,.90399,.88653,.96017,.82577,.77892,.78257,.97507,1.54657,.97507,.85284,.89552,.90176,.88762,.8785,.75241,.8785,.90518,.95015,.77618,.8785,.88401,.91916,.86304,.88401,.91488,.8785,.8801,.8785,.8785,.91343,.7173,1.04106,.8785,.85075,.95794,.82616,.85162,.79492,.88331,1.69808,.88331,.85284,.97801,.89552,.91133,.89552,.91133,1.7801,.8955\
+2,1.24487,1.13254,1.12401,.96839,.85284,.68787,.70645,.85592,.90747,1.01466,1.0088,.90323,1,1.07463,1,.91056,.75806,1.19118,.96839,.78864,.82845,.84133,.75859,.83908,.83908,.83908,.83908,.83908,.83908,.77539,.73293,.73133,.73133,.73133,.73133,.95958,.95958,.95958,.95958,.88506,.9121,.86943,.86943,.86943,.86943,.86943,.85284,.87508,.90399,.90399,.90399,.90399,.77892,.79795,.90807,.88762,.88762,.88762,.88762,.88762,.88762,.8715,.75241,.90518,.90518,.90518,.90518,.88401,.88401,.88401,.88401,.8785,.\
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+:Ki};e["Calibri-Regular"]={name:"LiberationSans-Regular",factors:Ni,baseWidths:Zi,baseMapping:Qi,metrics:Ei};e["Calibri-Bold"]={name:"LiberationSans-Bold",factors:Ti,baseWidths:$i,baseMapping:Gi,metrics:Oi};e["Calibri-Italic"]={name:"LiberationSans-Italic",factors:Bi,baseWidths:Ji,baseMapping:Yi,metrics:Ri};e["Calibri-BoldItalic"]={name:"LiberationSans-BoldItalic",factors:Mi,baseWidths:Vi,baseMapping:Ki,metrics:Di};e["Segoeui-Regular"]={name:"LiberationSans-Regular",factors:pn,baseWidths:Zi,base\
+Mapping:Qi,metrics:mn};e["Segoeui-Bold"]={name:"LiberationSans-Bold",factors:ln,baseWidths:$i,baseMapping:Gi,metrics:hn};e["Segoeui-Italic"]={name:"LiberationSans-Italic",factors:fn,baseWidths:Ji,baseMapping:Yi,metrics:gn};e["Segoeui-BoldItalic"]={name:"LiberationSans-BoldItalic",factors:un,baseWidths:Vi,baseMapping:Ki,metrics:dn};e["Helvetica-Regular"]=e.Helvetica={name:"LiberationSans-Regular",factors:Wi,baseWidths:Zi,baseMapping:Qi,metrics:zi};e["Helvetica-Bold"]={name:"LiberationSans-Bold",f\
+actors:Pi,baseWidths:$i,baseMapping:Gi,metrics:ji};e["Helvetica-Italic"]={name:"LiberationSans-Italic",factors:qi,baseWidths:Ji,baseMapping:Yi,metrics:Hi};e["Helvetica-BoldItalic"]={name:"LiberationSans-BoldItalic",factors:_i,baseWidths:Vi,baseMapping:Ki,metrics:Xi}}));function getXfaFontName(e){const t=normalizeFontName(e);return bn()[t]}function getXfaFontDict(e){const t=function getXfaFontWidths(e){const t=getXfaFontName(e);if(!t)return null;const{baseWidths:a,baseMapping:r,factors:i}=t,n=i?a\
+.map(((e,t)=>e*i[t])):a;let s,o=-2;const c=[];for(const[e,t]of r.map(((e,t)=>[e,t])).sort((([e],[t])=>e-t)))if(-1!==e)if(e===o+1){s.push(n[t]);o+=1}else{o=e;s=[n[t]];c.push(e,s)}return c}(e),a=new Dict(null);a.set("BaseFont",Name.get(e));a.set("Type",Name.get("Font"));a.set("Subtype",Name.get("CIDFontType2"));a.set("Encoding",Name.get("Identity-H"));a.set("CIDToGIDMap",Name.get("Identity"));a.set("W",t);a.set("FirstChar",t[0]);a.set("LastChar",t.at(-2)+t.at(-1).length-1);const r=new Dict(null);a\
+.set("FontDescriptor",r);const i=new Dict(null);i.set("Ordering","Identity");i.set("Registry","Adobe");i.set("Supplement",0);a.set("CIDSystemInfo",i);return a}class PostScriptParser{constructor(e){this.lexer=e;this.operators=[];this.token=null;this.prev=null}nextToken(){this.prev=this.token;this.token=this.lexer.getToken()}accept(e){if(this.token.type===e){this.nextToken();return!0}return!1}expect(e){if(this.accept(e))return!0;throw new FormatError(`Unexpected symbol: found ${this.token.type} ex\
+pected ${e}.`)}parse(){this.nextToken();this.expect(yn.LBRACE);this.parseBlock();this.expect(yn.RBRACE);return this.operators}parseBlock(){for(;;)if(this.accept(yn.NUMBER))this.operators.push(this.prev.value);else if(this.accept(yn.OPERATOR))this.operators.push(this.prev.value);else{if(!this.accept(yn.LBRACE))return;this.parseCondition()}}parseCondition(){const e=this.operators.length;this.operators.push(null,null);this.parseBlock();this.expect(yn.RBRACE);if(this.accept(yn.IF)){this.operators[e]\
+=this.operators.length;this.operators[e+1]="jz"}else{if(!this.accept(yn.LBRACE))throw new FormatError("PS Function: error parsing conditional.");{const t=this.operators.length;this.operators.push(null,null);const a=this.operators.length;this.parseBlock();this.expect(yn.RBRACE);this.expect(yn.IFELSE);this.operators[t]=this.operators.length;this.operators[t+1]="j";this.operators[e]=a;this.operators[e+1]="jz"}}}}const yn={LBRACE:0,RBRACE:1,NUMBER:2,OPERATOR:3,IF:4,IFELSE:5};class PostScriptToken{st\
+atic get opCache(){return shadow(this,"opCache",Object.create(null))}constructor(e,t){this.type=e;this.value=t}static getOperator(e){return PostScriptToken.opCache[e]||=new PostScriptToken(yn.OPERATOR,e)}static get LBRACE(){return shadow(this,"LBRACE",new PostScriptToken(yn.LBRACE,"{"))}static get RBRACE(){return shadow(this,"RBRACE",new PostScriptToken(yn.RBRACE,"}"))}static get IF(){return shadow(this,"IF",new PostScriptToken(yn.IF,"IF"))}static get IFELSE(){return shadow(this,"IFELSE",new Pos\
+tScriptToken(yn.IFELSE,"IFELSE"))}}class PostScriptLexer{constructor(e){this.stream=e;this.nextChar();this.strBuf=[]}nextChar(){return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return new PostScriptToken(yn.NUMBER,this.getNumb\
+er());case 123:this.nextChar();return PostScriptToken.LBRACE;case 125:this.nextChar();return PostScriptToken.RBRACE}const a=this.strBuf;a.length=0;a[0]=String.fromCharCode(t);for(;(t=this.nextChar())>=0&&(t>=65&&t<=90||t>=97&&t<=122);)a.push(String.fromCharCode(t));const r=a.join("");switch(r.toLowerCase()){case"if":return PostScriptToken.IF;case"ifelse":return PostScriptToken.IFELSE;default:return PostScriptToken.getOperator(r)}}getNumber(){let e=this.currentChar;const t=this.strBuf;t.length=0;\
+t[0]=String.fromCharCode(e);for(;(e=this.nextChar())>=0&&(e>=48&&e<=57||45===e||46===e);)t.push(String.fromCharCode(e));const a=parseFloat(t.join(""));if(isNaN(a))throw new FormatError(`Invalid floating point number: ${a}`);return a}}class BaseLocalCache{constructor(e){this._onlyRefs=!0===e?.onlyRefs;if(!this._onlyRefs){this._nameRefMap=new Map;this._imageMap=new Map}this._imageCache=new RefSetCache}getByName(e){this._onlyRefs&&unreachable("Should not call `getByName` method.");const t=this._nam\
+eRefMap.get(e);return t?this.getByRef(t):this._imageMap.get(e)||null}getByRef(e){return this._imageCache.get(e)||null}set(e,t,a){unreachable("Abstract method `set` called.")}}class LocalImageCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalImageCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalColorSpaceCache ext\
+ends BaseLocalCache{set(e=null,t=null,a){if("string"!=typeof e&&!t)throw new Error(\'LocalColorSpaceCache.set - expected "name" and/or "ref" argument.\');if(t){if(this._imageCache.has(t))return;null!==e&&this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalFunctionCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalFunctionCache.set - expected "ref" argument.\');this._imageCache.h\
+as(t)||this._imageCache.put(t,a)}}class LocalGStateCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalGStateCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalTilingPatternCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalTilingPatternCache.set - expected "r\
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+|this._imageCache.put(t,a)}clear(){this._imageCache.clear()}}class GlobalImageCache{static NUM_PAGES_THRESHOLD=2;static MIN_IMAGES_TO_CACHE=10;static MAX_BYTE_SIZE=5e7;#H=new RefSet;constructor(){this._refCache=new RefSetCache;this._imageCache=new RefSetCache}get#W(){let e=0;for(const t of this._imageCache)e+=t.byteSize;return e}get#z(){return!(this._imageCache.size<GlobalImageCache.MIN_IMAGES_TO_CACHE)&&!(this.#W<GlobalImageCache.MAX_BYTE_SIZE)}shouldCache(e,t){let a=this._refCache.get(e);if(!a\
+){a=new Set;this._refCache.put(e,a)}a.add(t);return!(a.size<GlobalImageCache.NUM_PAGES_THRESHOLD)&&!(!this._imageCache.has(e)&&this.#z)}addDecodeFailed(e){this.#H.put(e)}hasDecodeFailed(e){return this.#H.has(e)}addByteSize(e,t){const a=this._imageCache.get(e);a&&(a.byteSize||(a.byteSize=t))}getData(e,t){const a=this._refCache.get(e);if(!a)return null;if(a.size<GlobalImageCache.NUM_PAGES_THRESHOLD)return null;const r=this._imageCache.get(e);if(!r)return null;a.add(t);return r}setData(e,t){if(!thi\
+s._refCache.has(e))throw new Error(\'GlobalImageCache.setData - expected "shouldCache" to have been called.\');this._imageCache.has(e)||(this.#z?warn("GlobalImageCache.setData - cache limit reached."):this._imageCache.put(e,t))}clear(e=!1){if(!e){this.#H.clear();this._refCache.clear()}this._imageCache.clear()}}class PDFFunctionFactory{constructor({xref:e,isEvalSupported:t=!0}){this.xref=e;this.isEvalSupported=!1!==t}create(e,t=!1){let a,r;e instanceof Ref?a=e:e instanceof Dict?a=e.objId:e instance\
+of BaseStream&&(a=e.dict?.objId);if(a){const e=this._localFunctionCache.getByRef(a);if(e)return e}const i=this.xref.fetchIfRef(e);if(Array.isArray(i)){if(!t)throw new Error(\'PDFFunctionFactory.create - expected "parseArray" argument.\');r=PDFFunction.parseArray(this,i)}else r=PDFFunction.parse(this,i);a&&this._localFunctionCache.set(null,a,r);return r}get _localFunctionCache(){return shadow(this,"_localFunctionCache",new LocalFunctionCache)}}function toNumberArray(e){return Array.isArray(e)?isNum\
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+constructStiched(e,a);case 4:return this.constructPostScript(e,t,a)}throw new FormatError("Unknown type of function")}static parseArray(e,t){const{xref:a}=e,r=[];for(const i of t)r.push(this.parse(e,a.fetchIfRef(i)));return function(e,t,a,i){for(let n=0,s=r.length;n<s;n++)r[n](e,t,a,i+n)}}static constructSampled(e,t,a){function toMultiArray(e){const t=e.length,a=[];let r=0;for(let i=0;i<t;i+=2)a[r++]=[e[i],e[i+1]];return a}function interpolate(e,t,a,r,i){return r+(i-r)/(a-t)*(e-t)}let r=toNumber\
+Array(a.getArray("Domain")),i=toNumberArray(a.getArray("Range"));if(!r||!i)throw new FormatError("No domain or range");const n=r.length/2,s=i.length/2;r=toMultiArray(r);i=toMultiArray(i);const o=toNumberArray(a.getArray("Size")),c=a.get("BitsPerSample"),l=a.get("Order")||1;1!==l&&info("No support for cubic spline interpolation: "+l);let h=toNumberArray(a.getArray("Encode"));if(h)h=toMultiArray(h);else{h=[];for(let e=0;e<n;++e)h.push([0,o[e]-1])}let u=toNumberArray(a.getArray("Decode"));u=u?toMul\
+tiArray(u):i;const d=this.getSampleArray(o,s,c,t);return function constructSampledFn(e,t,a,c){const l=1<<n,f=new Float64Array(l).fill(1),g=new Uint32Array(l);let p,m,b=s,y=1;for(p=0;p<n;++p){const a=r[p][0],i=r[p][1];let n=interpolate(MathClamp(e[t+p],a,i),a,i,h[p][0],h[p][1]);const s=o[p];n=MathClamp(n,0,s-1);const c=n<s-1?Math.floor(n):n-1,u=c+1-n,d=n-c,w=c*b,x=w+b;for(m=0;m<l;m++)if(m&y){f[m]*=d;g[m]+=x}else{f[m]*=u;g[m]+=w}b*=s;y<<=1}for(m=0;m<s;++m){let e=0;for(p=0;p<l;p++)e+=d[g[p]+m]*f[p]\
+;e=interpolate(e,0,1,u[m][0],u[m][1]);a[c+m]=MathClamp(e,i[m][0],i[m][1])}}}static constructInterpolated(e,t){const a=toNumberArray(t.getArray("C0"))||[0],r=toNumberArray(t.getArray("C1"))||[1],i=t.get("N"),n=[];for(let e=0,t=a.length;e<t;++e)n.push(r[e]-a[e]);const s=n.length;return function constructInterpolatedFn(e,t,r,o){const c=1===i?e[t]:e[t]**i;for(let e=0;e<s;++e)r[o+e]=a[e]+c*n[e]}}static constructStiched(e,t){const a=toNumberArray(t.getArray("Domain"));if(!a)throw new FormatError("No d\
+omain");if(1!==a.length/2)throw new FormatError("Bad domain for stiched function");const{xref:r}=e,i=[];for(const a of t.get("Functions"))i.push(this.parse(e,r.fetchIfRef(a)));const n=toNumberArray(t.getArray("Bounds")),s=toNumberArray(t.getArray("Encode")),o=new Float32Array(1);return function constructStichedFn(e,t,r,c){const l=MathClamp(e[t],a[0],a[1]),h=n.length;let u;for(u=0;u<h&&!(l<n[u]);++u);let d=a[0];u>0&&(d=n[u-1]);let f=a[1];u<n.length&&(f=n[u]);const g=s[2*u],p=s[2*u+1];o[0]=d===f?g\
+:g+(l-d)*(p-g)/(f-d);i[u](o,0,r,c)}}static constructPostScript(e,t,a){const r=toNumberArray(a.getArray("Domain")),i=toNumberArray(a.getArray("Range"));if(!r)throw new FormatError("No domain.");if(!i)throw new FormatError("No range.");const n=new PostScriptLexer(t),s=new PostScriptParser(n).parse();if(e.isEvalSupported&&FeatureTest.isEvalSupported){const e=(new PostScriptCompiler).compile(s,r,i);if(e)return new Function("src","srcOffset","dest","destOffset",e)}info("Unable to compile PS function"\
+);const o=i.length>>1,c=r.length>>1,l=new PostScriptEvaluator(s),h=Object.create(null);let u=8192;const d=new Float32Array(c);return function constructPostScriptFn(e,t,a,r){let n,s,f="";const g=d;for(n=0;n<c;n++){s=e[t+n];g[n]=s;f+=s+"_"}const p=h[f];if(void 0!==p){a.set(p,r);return}const m=new Float32Array(o),b=l.execute(g),y=b.length-o;for(n=0;n<o;n++){s=b[y+n];let e=i[2*n];if(s<e)s=e;else{e=i[2*n+1];s>e&&(s=e)}m[n]=s}if(u>0){u--;h[f]=m}a.set(m,r)}}}function isPDFFunction(e){let t;if(e instanc\
+eof Dict)t=e;else{if(!(e instanceof BaseStream))return!1;t=e.dict}return t.has("FunctionType")}class PostScriptStack{static MAX_STACK_SIZE=100;constructor(e){this.stack=e?Array.from(e):[]}push(e){if(this.stack.length>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");this.stack.push(e)}pop(){if(this.stack.length<=0)throw new Error("PostScript function stack underflow.");return this.stack.pop()}copy(e){if(this.stack.length+e>=PostScriptStack.MAX_STACK_SIZE)thro\
+w new Error("PostScript function stack overflow.");const t=this.stack;for(let a=t.length-e,r=e-1;r>=0;r--,a++)t.push(t[a])}index(e){this.push(this.stack[this.stack.length-e-1])}roll(e,t){const a=this.stack,r=a.length-e,i=a.length-1,n=r+(t-Math.floor(t/e)*e);for(let e=r,t=i;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}for(let e=r,t=n-1;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}for(let e=n,t=i;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}}}class PostScriptEvaluator{constructor(e){this.operators=e}exe\
+cute(e){const t=new PostScriptStack(e);let a=0;const r=this.operators,i=r.length;let n,s,o;for(;a<i;){n=r[a++];if("number"!=typeof n)switch(n){case"jz":o=t.pop();s=t.pop();s||(a=o);break;case"j":s=t.pop();a=s;break;case"abs":s=t.pop();t.push(Math.abs(s));break;case"add":o=t.pop();s=t.pop();t.push(s+o);break;case"and":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s&&o):t.push(s&o);break;case"atan":o=t.pop();s=t.pop();s=Math.atan2(s,o)/Math.PI*180;s<0&&(s+=360);t.push(s);brea\
+k;case"bitshift":o=t.pop();s=t.pop();s>0?t.push(s<<o):t.push(s>>o);break;case"ceiling":s=t.pop();t.push(Math.ceil(s));break;case"copy":s=t.pop();t.copy(s);break;case"cos":s=t.pop();t.push(Math.cos(s%360/180*Math.PI));break;case"cvi":s=0|t.pop();t.push(s);break;case"cvr":break;case"div":o=t.pop();s=t.pop();t.push(s/o);break;case"dup":t.copy(1);break;case"eq":o=t.pop();s=t.pop();t.push(s===o);break;case"exch":t.roll(2,1);break;case"exp":o=t.pop();s=t.pop();t.push(s**o);break;case"false":t.push(!1)\
+;break;case"floor":s=t.pop();t.push(Math.floor(s));break;case"ge":o=t.pop();s=t.pop();t.push(s>=o);break;case"gt":o=t.pop();s=t.pop();t.push(s>o);break;case"idiv":o=t.pop();s=t.pop();t.push(s/o|0);break;case"index":s=t.pop();t.index(s);break;case"le":o=t.pop();s=t.pop();t.push(s<=o);break;case"ln":s=t.pop();t.push(Math.log(s));break;case"log":s=t.pop();t.push(Math.log10(s));break;case"lt":o=t.pop();s=t.pop();t.push(s<o);break;case"mod":o=t.pop();s=t.pop();t.push(s%o);break;case"mul":o=t.pop();s=\
+t.pop();t.push(s*o);break;case"ne":o=t.pop();s=t.pop();t.push(s!==o);break;case"neg":s=t.pop();t.push(-s);break;case"not":s=t.pop();"boolean"==typeof s?t.push(!s):t.push(~s);break;case"or":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s||o):t.push(s|o);break;case"pop":t.pop();break;case"roll":o=t.pop();s=t.pop();t.roll(s,o);break;case"round":s=t.pop();t.push(Math.round(s));break;case"sin":s=t.pop();t.push(Math.sin(s%360/180*Math.PI));break;case"sqrt":s=t.pop();t.push(Math.s\
+qrt(s));break;case"sub":o=t.pop();s=t.pop();t.push(s-o);break;case"true":t.push(!0);break;case"truncate":s=t.pop();s=s<0?Math.ceil(s):Math.floor(s);t.push(s);break;case"xor":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s!==o):t.push(s^o);break;default:throw new FormatError(`Unknown operator ${n}`)}else t.push(n)}return t.stack}}class AstNode{constructor(e){this.type=e}visit(e){unreachable("abstract method")}}class AstArgument extends AstNode{constructor(e,t,a){super("args"\
+);this.index=e;this.min=t;this.max=a}visit(e){e.visitArgument(this)}}class AstLiteral extends AstNode{constructor(e){super("literal");this.number=e;this.min=e;this.max=e}visit(e){e.visitLiteral(this)}}class AstBinaryOperation extends AstNode{constructor(e,t,a,r,i){super("binary");this.op=e;this.arg1=t;this.arg2=a;this.min=r;this.max=i}visit(e){e.visitBinaryOperation(this)}}class AstMin extends AstNode{constructor(e,t){super("max");this.arg=e;this.min=e.min;this.max=t}visit(e){e.visitMin(this)}}c\
+lass AstVariable extends AstNode{constructor(e,t,a){super("var");this.index=e;this.min=t;this.max=a}visit(e){e.visitVariable(this)}}class AstVariableDefinition extends AstNode{constructor(e,t){super("definition");this.variable=e;this.arg=t}visit(e){e.visitVariableDefinition(this)}}class ExpressionBuilderVisitor{constructor(){this.parts=[]}visitArgument(e){this.parts.push("Math.max(",e.min,", Math.min(",e.max,", src[srcOffset + ",e.index,"]))")}visitVariable(e){this.parts.push("v",e.index)}visitL\
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+number?e:"literal"===e.type&&0===e.number?t:"literal"===t.type&&"literal"===e.type?new AstLiteral(e.number+t.number):new AstBinaryOperation("+",e,t,e.min+t.min,e.max+t.max)}function buildMulOperation(e,t){if("literal"===t.type){if(0===t.number)return new AstLiteral(0);if(1===t.number)return e;if("literal"===e.type)return new AstLiteral(e.number*t.number)}if("literal"===e.type){if(0===e.number)return new AstLiteral(0);if(1===e.number)return t}const a=Math.min(e.min*t.min,e.min*t.max,e.max*t.min,e\
+.max*t.max),r=Math.max(e.min*t.min,e.min*t.max,e.max*t.min,e.max*t.max);return new AstBinaryOperation("*",e,t,a,r)}function buildSubOperation(e,t){if("literal"===t.type){if(0===t.number)return e;if("literal"===e.type)return new AstLiteral(e.number-t.number)}return"binary"===t.type&&"-"===t.op&&"literal"===e.type&&1===e.number&&"literal"===t.arg1.type&&1===t.arg1.number?t.arg2:new AstBinaryOperation("-",e,t,e.min-t.max,e.max-t.min)}function buildMinOperation(e,t){return e.min>=t?new AstLiteral(t)\
+:e.max<=t?e:new AstMin(e,t)}class PostScriptCompiler{compile(e,t,a){const r=[],i=[],n=t.length>>1,s=a.length>>1;let o,c,l,h,u,d,f,g,p=0;for(let e=0;e<n;e++)r.push(new AstArgument(e,t[2*e],t[2*e+1]));for(let t=0,a=e.length;t<a;t++){g=e[t];if("number"!=typeof g)switch(g){case"add":if(r.length<2)return null;h=r.pop();l=r.pop();r.push(buildAddOperation(l,h));break;case"cvr":if(r.length<1)return null;break;case"mul":if(r.length<2)return null;h=r.pop();l=r.pop();r.push(buildMulOperation(l,h));break;ca\
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+push(new AstVariableDefinition(f,u));break;case"dup":if(r.length<1)return null;if("number"==typeof e[t+1]&&"gt"===e[t+2]&&e[t+3]===t+7&&"jz"===e[t+4]&&"pop"===e[t+5]&&e[t+6]===e[t+1]){l=r.pop();r.push(buildMinOperation(l,e[t+1]));t+=6;break}u=r.at(-1);if("literal"===u.type||"var"===u.type){r.push(u);break}f=new AstVariable(p++,u.min,u.max);r[r.length-1]=f;r.push(f);i.push(new AstVariableDefinition(f,u));break;case"roll":if(r.length<2)return null;h=r.pop();l=r.pop();if("literal"!==h.type||"litera\
+l"!==l.type)return null;c=h.number;o=l.number;if(o<=0||!Number.isInteger(o)||!Number.isInteger(c)||r.length<o)return null;c=(c%o+o)%o;if(0===c)break;r.push(...r.splice(r.length-o,o-c));break;default:return null}else r.push(new AstLiteral(g))}if(r.length!==s)return null;const m=[];for(const e of i){const t=new ExpressionBuilderVisitor;e.visit(t);m.push(t.toString())}for(let e=0,t=r.length;e<t;e++){const t=r[e],i=new ExpressionBuilderVisitor;t.visit(i);const n=a[2*e],s=a[2*e+1],o=[i.toString()];if\
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+1}for(n=0;n<i;++n)"ON"===An[n]&&(An[n]=l);for(n=0;n<i;++n){d=An[n];isEven(c[n])?"R"===d?c[n]+=1:"AN"!==d&&"EN"!==d||(c[n]+=2):"L"!==d&&"AN"!==d&&"EN"!==d||(c[n]+=1)}let g,p=-1,m=99;for(n=0,s=c.length;n<s;++n){g=c[n];p<g&&(p=g);m>g&&isOdd(g)&&(m=g)}for(g=p;g>=m;--g){let e=-1;for(n=0,s=c.length;n<s;++n)if(c[n]<g){if(e>=0){reverseValues(Sn,e,n);e=-1}}else e<0&&(e=n);e>=0&&reverseValues(Sn,e,c.length)}for(n=0,s=Sn.length;n<s;++n){const e=Sn[n];"<"!==e&&">"!==e||(Sn[n]="")}return createBidiText(Sn.jo\
+in(""),r)}const kn={style:"normal",weight:"normal"},Cn={style:"normal",weight:"bold"},vn={style:"italic",weight:"normal"},Fn={style:"italic",weight:"bold"},In=new Map([["Times-Roman",{local:["Times New Roman","Times-Roman","Times","Liberation Serif","Nimbus Roman","Nimbus Roman L","Tinos","Thorndale","TeX Gyre Termes","FreeSerif","Linux Libertine O","Libertinus Serif","DejaVu Serif","Bitstream Vera Serif","Ubuntu"],style:kn,ultimate:"serif"}],["Times-Bold",{alias:"Times-Roman",style:Cn,ultimate:\
+"serif"}],["Times-Italic",{alias:"Times-Roman",style:vn,ultimate:"serif"}],["Times-BoldItalic",{alias:"Times-Roman",style:Fn,ultimate:"serif"}],["Helvetica",{local:["Helvetica","Helvetica Neue","Arial","Arial Nova","Liberation Sans","Arimo","Nimbus Sans","Nimbus Sans L","A030","TeX Gyre Heros","FreeSans","DejaVu Sans","Albany","Bitstream Vera Sans","Arial Unicode MS","Microsoft Sans Serif","Apple Symbols","Cantarell"],path:"LiberationSans-Regular.ttf",style:kn,ultimate:"sans-serif"}],["Helvetica\
+-Bold",{alias:"Helvetica",path:"LiberationSans-Bold.ttf",style:Cn,ultimate:"sans-serif"}],["Helvetica-Oblique",{alias:"Helvetica",path:"LiberationSans-Italic.ttf",style:vn,ultimate:"sans-serif"}],["Helvetica-BoldOblique",{alias:"Helvetica",path:"LiberationSans-BoldItalic.ttf",style:Fn,ultimate:"sans-serif"}],["Courier",{local:["Courier","Courier New","Liberation Mono","Nimbus Mono","Nimbus Mono L","Cousine","Cumberland","TeX Gyre Cursor","FreeMono","Linux Libertine Mono O","Libertinus Mono"],sty\
+le:kn,ultimate:"monospace"}],["Courier-Bold",{alias:"Courier",style:Cn,ultimate:"monospace"}],["Courier-Oblique",{alias:"Courier",style:vn,ultimate:"monospace"}],["Courier-BoldOblique",{alias:"Courier",style:Fn,ultimate:"monospace"}],["ArialBlack",{local:["Arial Black"],style:{style:"normal",weight:"900"},fallback:"Helvetica-Bold"}],["ArialBlack-Bold",{alias:"ArialBlack"}],["ArialBlack-Italic",{alias:"ArialBlack",style:{style:"italic",weight:"900"},fallback:"Helvetica-BoldOblique"}],["ArialBlack\
+-BoldItalic",{alias:"ArialBlack-Italic"}],["ArialNarrow",{local:["Arial Narrow","Liberation Sans Narrow","Helvetica Condensed","Nimbus Sans Narrow","TeX Gyre Heros Cn"],style:kn,fallback:"Helvetica"}],["ArialNarrow-Bold",{alias:"ArialNarrow",style:Cn,fallback:"Helvetica-Bold"}],["ArialNarrow-Italic",{alias:"ArialNarrow",style:vn,fallback:"Helvetica-Oblique"}],["ArialNarrow-BoldItalic",{alias:"ArialNarrow",style:Fn,fallback:"Helvetica-BoldOblique"}],["Calibri",{local:["Calibri","Carlito"],style:k\
+n,fallback:"Helvetica"}],["Calibri-Bold",{alias:"Calibri",style:Cn,fallback:"Helvetica-Bold"}],["Calibri-Italic",{alias:"Calibri",style:vn,fallback:"Helvetica-Oblique"}],["Calibri-BoldItalic",{alias:"Calibri",style:Fn,fallback:"Helvetica-BoldOblique"}],["Wingdings",{local:["Wingdings","URW Dingbats"],style:kn}],["Wingdings-Regular",{alias:"Wingdings"}],["Wingdings-Bold",{alias:"Wingdings"}]]),Tn=new Map([["Arial-Black","ArialBlack"]]);function getFamilyName(e){const t=new Set(["thin","extralight\
+","ultralight","demilight","semilight","light","book","regular","normal","medium","demibold","semibold","bold","extrabold","ultrabold","black","heavy","extrablack","ultrablack","roman","italic","oblique","ultracondensed","extracondensed","condensed","semicondensed","normal","semiexpanded","expanded","extraexpanded","ultraexpanded","bolditalic"]);return e.split(/[- ,+]+/g).filter((e=>!t.has(e.toLowerCase()))).join(" ")}function generateFont({alias:e,local:t,path:a,fallback:r,style:i,ultimate:n},s\
+,o,c=!0,l=!0,h=""){const u={style:null,ultimate:null};if(t){const e=h?` ${h}`:"";for(const a of t)s.push(`local(${a}${e})`)}if(e){const t=In.get(e),n=h||function getStyleToAppend(e){switch(e){case Cn:return"Bold";case vn:return"Italic";case Fn:return"Bold Italic";default:if("bold"===e?.weight)return"Bold";if("italic"===e?.style)return"Italic"}return""}(i);Object.assign(u,generateFont(t,s,o,c&&!r,l&&!a,n))}i&&(u.style=i);n&&(u.ultimate=n);if(c&&r){const e=In.get(r),{ultimate:t}=generateFont(e,s,o\
+,c,l&&!a,h);u.ultimate||=t}l&&a&&o&&s.push(`url(${o}${a})`);return u}function getFontSubstitution(e,t,a,r,i,n){if(r.startsWith("InvalidPDFjsFont_"))return null;"TrueType"!==n&&"Type1"!==n||!/^[A-Z]{6}\\+/.test(r)||(r=r.slice(7));const s=r=normalizeFontName(r);let o=e.get(s);if(o)return o;let c=In.get(r);if(!c)for(const[e,t]of Tn)if(r.startsWith(e)){r=`${t}${r.substring(e.length)}`;c=In.get(r);break}let l=!1;if(!c){c=In.get(i);l=!0}const h=`${t.getDocId()}_s${t.createFontId()}`;if(!c){if(!validate\
+FontName(r)){warn(`Cannot substitute the font because of its name: ${r}`);e.set(s,null);return null}const t=/bold/gi.test(r),a=/oblique|italic/gi.test(r),i=t&&a&&Fn||t&&Cn||a&&vn||kn;o={css:`"${getFamilyName(r)}",${h}`,guessFallback:!0,loadedName:h,baseFontName:r,src:`local(${r})`,style:i};e.set(s,o);return o}const u=[];l&&validateFontName(r)&&u.push(`local(${r})`);const{style:d,ultimate:f}=generateFont(c,u,a),g=null===f,p=g?"":`,${f}`;o={css:`"${getFamilyName(r)}",${h}${p}`,guessFallback:g,load\
+edName:h,baseFontName:r,src:u.join(","),style:d};e.set(s,o);return o}const On=3285377520,Mn=4294901760,Dn=65535;class MurmurHash3_64{constructor(e){this.h1=e?4294967295&e:On;this.h2=e?4294967295&e:On}update(e){let t,a;if("string"==typeof e){t=new Uint8Array(2*e.length);a=0;for(let r=0,i=e.length;r<i;r++){const i=e.charCodeAt(r);if(i<=255)t[a++]=i;else{t[a++]=i>>>8;t[a++]=255&i}}}else{if(!ArrayBuffer.isView(e))throw new Error("Invalid data format, must be a string or TypedArray.");t=e.slice();a=t\
+.byteLength}const r=a>>2,i=a-4*r,n=new Uint32Array(t.buffer,0,r);let s=0,o=0,c=this.h1,l=this.h2;const h=3432918353,u=461845907,d=11601,f=13715;for(let e=0;e<r;e++)if(1&e){s=n[e];s=s*h&Mn|s*d&Dn;s=s<<15|s>>>17;s=s*u&Mn|s*f&Dn;c^=s;c=c<<13|c>>>19;c=5*c+3864292196}else{o=n[e];o=o*h&Mn|o*d&Dn;o=o<<15|o>>>17;o=o*u&Mn|o*f&Dn;l^=o;l=l<<13|l>>>19;l=5*l+3864292196}s=0;switch(i){case 3:s^=t[4*r+2]<<16;case 2:s^=t[4*r+1]<<8;case 1:s^=t[4*r];s=s*h&Mn|s*d&Dn;s=s<<15|s>>>17;s=s*u&Mn|s*f&Dn;1&r?c^=s:l^=s}this\
+.h1=c;this.h2=l}hexdigest(){let e=this.h1,t=this.h2;e^=t>>>1;e=3981806797*e&Mn|36045*e&Dn;t=4283543511*t&Mn|(2950163797*(t<<16|e>>>16)&Mn)>>>16;e^=t>>>1;e=444984403*e&Mn|60499*e&Dn;t=3301882366*t&Mn|(3120437893*(t<<16|e>>>16)&Mn)>>>16;e^=t>>>1;return(e>>>0).toString(16).padStart(8,"0")+(t>>>0).toString(16).padStart(8,"0")}}function resizeImageMask(e,t,a,r,i,n){const s=i*n;let o;o=t<=8?new Uint8Array(s):t<=16?new Uint16Array(s):new Uint32Array(s);const c=a/i,l=r/n;let h,u,d,f,g=0;const p=new Uint\
+16Array(i),m=a;for(h=0;h<i;h++)p[h]=Math.floor(h*c);for(h=0;h<n;h++){d=Math.floor(h*l)*m;for(u=0;u<i;u++){f=d+p[u];o[g++]=e[f]}}return o}class PDFImage{constructor({xref:e,res:t,image:a,isInline:r=!1,smask:i=null,mask:n=null,isMask:s=!1,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l}){this.image=a;const h=a.dict,u=h.get("F","Filter");let d;if(u instanceof Name)d=u.name;else if(Array.isArray(u)){const t=e.fetchIfRef(u[0]);t instanceof Name&&(d=t.name)}switch(d){case"JPXDecode\
+":({width:a.width,height:a.height,componentsCount:a.numComps,bitsPerComponent:a.bitsPerComponent}=JpxImage.parseImageProperties(a.stream));a.stream.reset();const e=ImageResizer.getReducePowerForJPX(a.width,a.height,a.numComps);this.jpxDecoderOptions={numComponents:0,isIndexedColormap:!1,smaskInData:h.has("SMaskInData"),reducePower:e};if(e){const t=2**e;a.width=Math.ceil(a.width/t);a.height=Math.ceil(a.height/t)}break;case"JBIG2Decode":a.bitsPerComponent=1;a.numComps=1}let f=h.get("W","Width"),g=\
+h.get("H","Height");if(Number.isInteger(a.width)&&a.width>0&&Number.isInteger(a.height)&&a.height>0&&(a.width!==f||a.height!==g)){warn("PDFImage - using the Width/Height of the image data, rather than the image dictionary.");f=a.width;g=a.height}else{const e="number"==typeof f&&f>0,t="number"==typeof g&&g>0;if(!e||!t){if(!a.fallbackDims)throw new FormatError(`Invalid image width: ${f} or height: ${g}`);warn("PDFImage - using the Width/Height of the parent image, for SMask/Mask data.");e||(f=a.fa\
+llbackDims.width);t||(g=a.fallbackDims.height)}}this.width=f;this.height=g;this.interpolate=h.get("I","Interpolate");this.imageMask=h.get("IM","ImageMask")||!1;this.matte=h.get("Matte")||!1;let p=a.bitsPerComponent;if(!p){p=h.get("BPC","BitsPerComponent");if(!p){if(!this.imageMask)throw new FormatError(`Bits per component missing in image: ${this.imageMask}`);p=1}}this.bpc=p;if(!this.imageMask){let i=h.getRaw("CS")||h.getRaw("ColorSpace");const n=!!i;if(n)this.jpxDecoderOptions?.smaskInData&&(i=\
+Name.get("DeviceRGBA"));else if(this.jpxDecoderOptions)i=Name.get("DeviceRGBA");else switch(a.numComps){case 1:i=Name.get("DeviceGray");break;case 3:i=Name.get("DeviceRGB");break;case 4:i=Name.get("DeviceCMYK");break;default:throw new Error(`Images with ${a.numComps} color components not supported.`)}this.colorSpace=ColorSpaceUtils.parse({cs:i,xref:e,resources:r?t:null,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l});this.numComps=this.colorSpace.numComps;if(this.jpxDecoderO\
+ptions){this.jpxDecoderOptions.numComponents=n?this.numComps:0;this.jpxDecoderOptions.isIndexedColormap="Indexed"===this.colorSpace.name}}this.decode=h.getArray("D","Decode");this.needsDecode=!1;if(this.decode&&(this.colorSpace&&!this.colorSpace.isDefaultDecode(this.decode,p)||s&&!ColorSpace.isDefaultDecode(this.decode,1))){this.needsDecode=!0;const e=(1<<p)-1;this.decodeCoefficients=[];this.decodeAddends=[];const t="Indexed"===this.colorSpace?.name;for(let a=0,r=0;a<this.decode.length;a+=2,++r)\
+{const i=this.decode[a],n=this.decode[a+1];this.decodeCoefficients[r]=t?(n-i)/e:n-i;this.decodeAddends[r]=t?i:e*i}}if(i){i.fallbackDims??={width:f,height:g};this.smask=new PDFImage({xref:e,res:t,image:i,isInline:r,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l})}else if(n)if(n instanceof BaseStream){if(n.dict.get("IM","ImageMask")){n.fallbackDims??={width:f,height:g};this.mask=new PDFImage({xref:e,res:t,image:n,isInline:r,isMask:!0,pdfFunctionFactory:o,globalColorSpaceCache:\
+c,localColorSpaceCache:l})}else warn("Ignoring /Mask in image without /ImageMask.")}else this.mask=n}static async buildImage({xref:e,res:t,image:a,isInline:r=!1,pdfFunctionFactory:i,globalColorSpaceCache:n,localColorSpaceCache:s}){const o=a;let c=null,l=null;const h=a.dict.get("SMask"),u=a.dict.get("Mask");h?h instanceof BaseStream?c=h:warn("Unsupported /SMask format."):u&&(u instanceof BaseStream||Array.isArray(u)?l=u:warn("Unsupported /Mask format."));return new PDFImage({xref:e,res:t,image:o,\
+isInline:r,smask:c,mask:l,pdfFunctionFactory:i,globalColorSpaceCache:n,localColorSpaceCache:s})}static async createMask({image:e,isOffscreenCanvasSupported:t=!1}){const{dict:a}=e,r=a.get("W","Width"),i=a.get("H","Height"),n=a.get("I","Interpolate"),s=a.getArray("D","Decode"),o=s?.[0]>0,c=(r+7>>3)*i,l=e.getBytes(c),h=1===r&&1===i&&o===(0===l.length||!!(128&l[0]));if(h)return{isSingleOpaquePixel:h};if(t){if(ImageResizer.needsToBeResized(r,i)){const e=new Uint8ClampedArray(r*i*4);convertBlackAndWhi\
+teToRGBA({src:l,dest:e,width:r,height:i,nonBlackColor:0,inverseDecode:o});return ImageResizer.createImage({kind:v,data:e,width:r,height:i,interpolate:n})}const e=new OffscreenCanvas(r,i),t=e.getContext("2d"),a=t.createImageData(r,i);convertBlackAndWhiteToRGBA({src:l,dest:a.data,width:r,height:i,nonBlackColor:0,inverseDecode:o});t.putImageData(a,0,0);return{data:null,width:r,height:i,interpolate:n,bitmap:e.transferToImageBitmap()}}const u=l.byteLength;let d;if(e instanceof DecodeStream&&(!o||c===\
+u))d=l;else if(o){d=new Uint8Array(c);d.set(l);d.fill(255,u)}else d=new Uint8Array(l);if(o)for(let e=0;e<u;e++)d[e]^=255;return{data:d,width:r,height:i,interpolate:n}}get drawWidth(){return Math.max(this.width,this.smask?.width||0,this.mask?.width||0)}get drawHeight(){return Math.max(this.height,this.smask?.height||0,this.mask?.height||0)}decodeBuffer(e){const t=this.bpc,a=this.numComps,r=this.decodeAddends,i=this.decodeCoefficients,n=(1<<t)-1;let s,o;if(1===t){for(s=0,o=e.length;s<o;s++)e[s]=+!\
+e[s];return}let c=0;for(s=0,o=this.width*this.height;s<o;s++)for(let t=0;t<a;t++){e[c]=MathClamp(r[t]+e[c]*i[t],0,n);c++}}getComponents(e){const t=this.bpc;if(8===t)return e;const a=this.width,r=this.height,i=this.numComps,n=a*r*i;let s,o=0;s=t<=8?new Uint8Array(n):t<=16?new Uint16Array(n):new Uint32Array(n);const c=a*i,l=(1<<t)-1;let h,u,d=0;if(1===t){let t,a,i;for(let n=0;n<r;n++){a=d+(-8&c);i=d+c;for(;d<a;){u=e[o++];s[d]=u>>7&1;s[d+1]=u>>6&1;s[d+2]=u>>5&1;s[d+3]=u>>4&1;s[d+4]=u>>3&1;s[d+5]=u>\
+>2&1;s[d+6]=u>>1&1;s[d+7]=1&u;d+=8}if(d<i){u=e[o++];t=128;for(;d<i;){s[d++]=+!!(u&t);t>>=1}}}}else{let a=0;u=0;for(d=0,h=n;d<h;++d){if(d%c==0){u=0;a=0}for(;a<t;){u=u<<8|e[o++];a+=8}const r=a-t;let i=u>>r;i<0?i=0:i>l&&(i=l);s[d]=i;u&=(1<<r)-1;a=r}}return s}async fillOpacity(e,t,a,r,i){const n=this.smask,s=this.mask;let o,c,l,h,u,d;if(n){c=n.width;l=n.height;o=new Uint8ClampedArray(c*l);await n.fillGrayBuffer(o);c===t&&l===a||(o=resizeImageMask(o,n.bpc,c,l,t,a))}else if(s)if(s instanceof PDFImage)\
+{c=s.width;l=s.height;o=new Uint8ClampedArray(c*l);s.numComps=1;await s.fillGrayBuffer(o);for(h=0,u=c*l;h<u;++h)o[h]=255-o[h];c===t&&l===a||(o=resizeImageMask(o,s.bpc,c,l,t,a))}else{if(!Array.isArray(s))throw new FormatError("Unknown mask format.");{o=new Uint8ClampedArray(t*a);const e=this.numComps;for(h=0,u=t*a;h<u;++h){let t=0;const a=h*e;for(d=0;d<e;++d){const e=i[a+d],r=2*d;if(e<s[r]||e>s[r+1]){t=255;break}}o[h]=t}}}if(o)for(h=0,d=3,u=t*r;h<u;++h,d+=4)e[d]=o[h];else for(h=0,d=3,u=t*r;h<u;++\
+h,d+=4)e[d]=255}undoPreblend(e,t,a){const r=this.smask?.matte;if(!r)return;const i=this.colorSpace.getRgb(r,0),n=i[0],s=i[1],o=i[2],c=t*a*4;for(let t=0;t<c;t+=4){const a=e[t+3];if(0===a){e[t]=255;e[t+1]=255;e[t+2]=255;continue}const r=255/a;e[t]=(e[t]-n)*r+n;e[t+1]=(e[t+1]-s)*r+s;e[t+2]=(e[t+2]-o)*r+o}}async createImageData(e=!1,t=!1){const a=this.drawWidth,r=this.drawHeight,i={width:a,height:r,interpolate:this.interpolate,kind:0,data:null},n=this.numComps,s=this.width,o=this.height,c=this.bpc,l\
+=s*n*c+7>>3,h=t&&ImageResizer.needsToBeResized(a,r);if(!this.smask&&!this.mask&&"DeviceRGBA"===this.colorSpace.name){i.kind=v;const e=i.data=await this.getImageBytes(o*s*4,{});return t?h?ImageResizer.createImage(i,!1):this.createBitmap(v,a,r,e):i}if(!e){let e;"DeviceGray"===this.colorSpace.name&&1===c?e=k:"DeviceRGB"!==this.colorSpace.name||8!==c||this.needsDecode||(e=C);if(e&&!this.smask&&!this.mask&&a===s&&r===o){const n=await this.#$(s,o);if(n)return n;const c=await this.getImageBytes(o*l,{})\
+;if(t)return h?ImageResizer.createImage({data:c,kind:e,width:a,height:r,interpolate:this.interpolate},this.needsDecode):this.createBitmap(e,s,o,c);i.kind=e;i.data=c;if(this.needsDecode){assert(e===k,"PDFImage.createImageData: The image must be grayscale.");const t=i.data;for(let e=0,a=t.length;e<a;e++)t[e]^=255}return i}if(this.image instanceof JpegStream&&!this.smask&&!this.mask&&!this.needsDecode){let e=o*l;if(t&&!h){let t=!1;switch(this.colorSpace.name){case"DeviceGray":e*=4;t=!0;break;case"D\
+eviceRGB":e=e/3*4;t=!0;break;case"DeviceCMYK":t=!0}if(t){const t=await this.#$(a,r);if(t)return t;const i=await this.getImageBytes(e,{drawWidth:a,drawHeight:r,forceRGBA:!0});return this.createBitmap(v,a,r,i)}}else switch(this.colorSpace.name){case"DeviceGray":e*=3;case"DeviceRGB":case"DeviceCMYK":i.kind=C;i.data=await this.getImageBytes(e,{drawWidth:a,drawHeight:r,forceRGB:!0});return h?ImageResizer.createImage(i):i}}}const u=await this.getImageBytes(o*l,{internal:!0}),d=0|u.length/l*r/o,f=this.\
+getComponents(u);let g,p,m,b,y,w;if(t&&!h){m=new OffscreenCanvas(a,r);b=m.getContext("2d");y=b.createImageData(a,r);w=y.data}i.kind=v;if(e||this.smask||this.mask){t&&!h||(w=new Uint8ClampedArray(a*r*4));g=1;p=!0;await this.fillOpacity(w,a,r,d,f)}else{if(!t||h){i.kind=C;w=new Uint8ClampedArray(a*r*3);g=0}else{new Uint32Array(w.buffer).fill(FeatureTest.isLittleEndian?4278190080:255);g=1}p=!1}this.needsDecode&&this.decodeBuffer(f);this.colorSpace.fillRgb(w,s,o,a,r,d,c,f,g);p&&this.undoPreblend(w,a,\
+d);if(t&&!h){b.putImageData(y,0,0);return{data:null,width:a,height:r,bitmap:m.transferToImageBitmap(),interpolate:this.interpolate}}i.data=w;return h?ImageResizer.createImage(i):i}async fillGrayBuffer(e){const t=this.numComps;if(1!==t)throw new FormatError(`Reading gray scale from a color image: ${t}`);const a=this.width,r=this.height,i=this.bpc,n=a*t*i+7>>3,s=await this.getImageBytes(r*n,{internal:!0}),o=this.getComponents(s);let c,l;if(1===i){l=a*r;if(this.needsDecode)for(c=0;c<l;++c)e[c]=o[c]\
+-1&255;else for(c=0;c<l;++c)e[c]=255&-o[c];return}this.needsDecode&&this.decodeBuffer(o);l=a*r;const h=255/((1<<i)-1);for(c=0;c<l;++c)e[c]=h*o[c]}createBitmap(e,t,a,r){const i=new OffscreenCanvas(t,a),n=i.getContext("2d");let s;if(e===v)s=new ImageData(r,t,a);else{s=n.createImageData(t,a);convertToRGBA({kind:e,src:r,dest:new Uint32Array(s.data.buffer),width:t,height:a,inverseDecode:this.needsDecode})}n.putImageData(s,0,0);return{data:null,width:t,height:a,bitmap:i.transferToImageBitmap(),interpo\
+late:this.interpolate}}async#$(e,t){const a=await this.image.getTransferableImage();return a?{data:null,width:e,height:t,bitmap:a,interpolate:this.interpolate}:null}async getImageBytes(e,{drawWidth:t,drawHeight:a,forceRGBA:r=!1,forceRGB:i=!1,internal:n=!1}){this.image.reset();this.image.drawWidth=t||this.width;this.image.drawHeight=a||this.height;this.image.forceRGBA=!!r;this.image.forceRGB=!!i;const s=await this.image.getImageData(e,this.jpxDecoderOptions);if(n||this.image instanceof DecodeStre\
+am)return s;assert(s instanceof Uint8Array,\'PDFImage.getImageBytes: Unsupported "imageBytes" type.\');return new Uint8Array(s)}}const Bn=Object.freeze({maxImageSize:-1,disableFontFace:!1,ignoreErrors:!1,isEvalSupported:!0,isOffscreenCanvasSupported:!1,isImageDecoderSupported:!1,canvasMaxAreaInBytes:-1,fontExtraProperties:!1,useSystemFonts:!0,useWasm:!0,useWorkerFetch:!0,cMapUrl:null,iccUrl:null,standardFontDataUrl:null,wasmUrl:null}),Rn=1,Nn=2,En=Promise.resolve();function normalizeBlendMode(e,t=\
+!1){if(Array.isArray(e)){for(const t of e){const e=normalizeBlendMode(t,!0);if(e)return e}warn(`Unsupported blend mode Array: ${e}`);return"source-over"}if(!(e instanceof Name))return t?null:"source-over";switch(e.name){case"Normal":case"Compatible":return"source-over";case"Multiply":return"multiply";case"Screen":return"screen";case"Overlay":return"overlay";case"Darken":return"darken";case"Lighten":return"lighten";case"ColorDodge":return"color-dodge";case"ColorBurn":return"color-burn";case"HardL\
+ight":return"hard-light";case"SoftLight":return"soft-light";case"Difference":return"difference";case"Exclusion":return"exclusion";case"Hue":return"hue";case"Saturation":return"saturation";case"Color":return"color";case"Luminosity":return"luminosity"}if(t)return null;warn(`Unsupported blend mode: ${e.name}`);return"source-over"}function addCachedImageOps(e,{objId:t,fn:a,args:r,optionalContent:i,hasMask:n}){t&&e.addDependency(t);e.addImageOps(a,r,i,n);a===Vt&&r[0]?.count>0&&r[0].count++}class Time\
+SlotManager{static TIME_SLOT_DURATION_MS=20;static CHECK_TIME_EVERY=100;constructor(){this.reset()}check(){if(++this.checked<TimeSlotManager.CHECK_TIME_EVERY)return!1;this.checked=0;return this.endTime<=Date.now()}reset(){this.endTime=Date.now()+TimeSlotManager.TIME_SLOT_DURATION_MS;this.checked=0}}class PartialEvaluator{constructor({xref:e,handler:t,pageIndex:a,idFactory:r,fontCache:i,builtInCMapCache:n,standardFontDataCache:s,globalColorSpaceCache:o,globalImageCache:c,systemFontCache:l,options\
+:h=null}){this.xref=e;this.handler=t;this.pageIndex=a;this.idFactory=r;this.fontCache=i;this.builtInCMapCache=n;this.standardFontDataCache=s;this.globalColorSpaceCache=o;this.globalImageCache=c;this.systemFontCache=l;this.options=h||Bn;this.type3FontRefs=null;this._regionalImageCache=new RegionalImageCache;this._fetchBuiltInCMapBound=this.fetchBuiltInCMap.bind(this)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.opti\
+ons.isEvalSupported}))}get parsingType3Font(){return!!this.type3FontRefs}clone(e=null){const t=Object.create(this);t.options=Object.assign(Object.create(null),this.options,e);return t}hasBlendModes(e,t){if(!(e instanceof Dict))return!1;if(e.objId&&t.has(e.objId))return!1;const a=new RefSet(t);e.objId&&a.put(e.objId);const r=[e],i=this.xref;for(;r.length;){const e=r.shift(),t=e.get("ExtGState");if(t instanceof Dict)for(let e of t.getRawValues()){if(e instanceof Ref){if(a.has(e))continue;try{e=i.f\
+etch(e)}catch(t){a.put(e);info(`hasBlendModes - ignoring ExtGState: "${t}".`);continue}}if(!(e instanceof Dict))continue;e.objId&&a.put(e.objId);const t=e.get("BM");if(t instanceof Name){if("Normal"!==t.name)return!0}else if(void 0!==t&&Array.isArray(t))for(const e of t)if(e instanceof Name&&"Normal"!==e.name)return!0}const n=e.get("XObject");if(n instanceof Dict)for(let e of n.getRawValues()){if(e instanceof Ref){if(a.has(e))continue;try{e=i.fetch(e)}catch(t){a.put(e);info(`hasBlendModes - igno\
+ring XObject: "${t}".`);continue}}if(!(e instanceof BaseStream))continue;e.dict.objId&&a.put(e.dict.objId);const t=e.dict.get("Resources");if(t instanceof Dict&&(!t.objId||!a.has(t.objId))){r.push(t);t.objId&&a.put(t.objId)}}}for(const e of a)t.put(e);return!1}async fetchBuiltInCMap(e){const t=this.builtInCMapCache.get(e);if(t)return t;let a;a=this.options.useWorkerFetch?{cMapData:await fetchBinaryData(`${this.options.cMapUrl}${e}.bcmap`),isCompressed:!0}:await this.handler.sendWithPromise("Fetc\
+hBinaryData",{type:"cMapReaderFactory",name:e});this.builtInCMapCache.set(e,a);return a}async fetchStandardFontData(e){const t=this.standardFontDataCache.get(e);if(t)return new Stream(t);if(this.options.useSystemFonts&&"Symbol"!==e&&"ZapfDingbats"!==e)return null;const a=Yr()[e];let r;try{r=this.options.useWorkerFetch?await fetchBinaryData(`${this.options.standardFontDataUrl}${a}`):await this.handler.sendWithPromise("FetchBinaryData",{type:"standardFontDataFactory",filename:a})}catch(e){warn(e);\
+return null}this.standardFontDataCache.set(e,r);return new Stream(r)}async buildFormXObject(e,t,a,r,i,n,s,o){const{dict:c}=t,l=lookupMatrix(c.getArray("Matrix"),null),h=lookupNormalRect(c.getArray("BBox"),null);let u,d;c.has("OC")&&(u=await this.parseMarkedContentProps(c.get("OC"),e));void 0!==u&&r.addOp(jt,["OC",u]);const f=c.get("Group");if(f){d={matrix:l,bbox:h,smask:a,isolated:!1,knockout:!1};let t=null;if(isName(f.get("S"),"Transparency")){d.isolated=f.get("I")||!1;d.knockout=f.get("K")||!1\
+;if(f.has("CS")){const a=this._getColorSpace(f.getRaw("CS"),e,s);t=a instanceof ColorSpace?a:await this._handleColorSpace(a)}}if(a?.backdrop){t||=ColorSpaceUtils.rgb;a.backdrop=t.getRgbHex(a.backdrop,0)}r.addOp(Wt,[d])}const g=[l&&new Float32Array(l),!f&&h&&new Float32Array(h)||null];r.addOp(qt,g);const p=c.get("Resources");await this.getOperatorList({stream:t,task:i,resources:p instanceof Dict?p:e,operatorList:r,initialState:n,prevRefs:o});r.addOp(Ht,[]);f&&r.addOp(zt,[d]);void 0!==u&&r.addOp(_\
+t,[])}_sendImgData(e,t,a=!1){const r=t?[t.bitmap||t.data.buffer]:null;return this.parsingType3Font||a?this.handler.send("commonobj",[e,"Image",t],r):this.handler.send("obj",[e,this.pageIndex,"Image",t],r)}async buildPaintImageXObject({resources:e,image:t,isInline:a=!1,operatorList:r,cacheKey:i,localImageCache:n,localColorSpaceCache:s}){const{maxImageSize:o,ignoreErrors:c,isOffscreenCanvasSupported:l}=this.options,{dict:h}=t,u=h.objId,d=h.get("W","Width"),f=h.get("H","Height");if(!d||"number"!=ty\
+peof d||!f||"number"!=typeof f){warn("Image dimensions are missing, or not numbers.");return}if(-1!==o&&d*f>o){const e="Image exceeded maximum allowed size and was removed.";if(!c)throw new Error(e);warn(e);return}let g;h.has("OC")&&(g=await this.parseMarkedContentProps(h.get("OC"),e));let p,m,b;if(h.get("IM","ImageMask")||!1){p=await PDFImage.createMask({image:t,isOffscreenCanvasSupported:l&&!this.parsingType3Font});if(p.isSingleOpaquePixel){m=ta;b=[];r.addImageOps(m,b,g);if(i){const e={fn:m,ar\
+gs:b,optionalContent:g};n.set(i,u,e);u&&this._regionalImageCache.set(null,u,e)}return}if(this.parsingType3Font){b=function compileType3Glyph({data:e,width:t,height:a}){if(t>1e3||a>1e3)return null;const r=new Uint8Array([0,2,4,0,1,0,5,4,8,10,0,8,0,2,1,0]),i=t+1,n=new Uint8Array(i*(a+1));let s,o,c;const l=t+7&-8,h=new Uint8Array(l*a);let u=0;for(const t of e){let e=128;for(;e>0;){h[u++]=t&e?0:255;e>>=1}}let d=0;u=0;if(0!==h[u]){n[0]=1;++d}for(o=1;o<t;o++){if(h[u]!==h[u+1]){n[o]=h[u]?2:1;++d}u++}if\
+(0!==h[u]){n[o]=2;++d}for(s=1;s<a;s++){u=s*l;c=s*i;if(h[u-l]!==h[u]){n[c]=h[u]?1:8;++d}let e=(h[u]?4:0)+(h[u-l]?8:0);for(o=1;o<t;o++){e=(e>>2)+(h[u+1]?4:0)+(h[u-l+1]?8:0);if(r[e]){n[c+o]=r[e];++d}u++}if(h[u-l]!==h[u]){n[c+o]=h[u]?2:4;++d}if(d>1e3)return null}u=l*(a-1);c=s*i;if(0!==h[u]){n[c]=8;++d}for(o=1;o<t;o++){if(h[u]!==h[u+1]){n[c+o]=h[u]?4:8;++d}u++}if(0!==h[u]){n[c+o]=4;++d}if(d>1e3)return null;const f=new Int32Array([0,i,-1,0,-i,0,0,0,1]),g=[],{a:p,b:m,c:b,d:y,e:w,f:x}=(new DOMMatrix).sc\
+aleSelf(1/t,-1/a).translateSelf(0,-a);for(s=0;d&&s<=a;s++){let e=s*i;const a=e+t;for(;e<a&&!n[e];)e++;if(e===a)continue;let r=e%i,o=s;g.push(sa,p*r+b*o+w,m*r+y*o+x);const c=e;let l=n[e];do{const t=f[l];do{e+=t}while(!n[e]);const a=n[e];if(5!==a&&10!==a){l=a;n[e]=0}else{l=a&51*l>>4;n[e]&=l>>2|l<<2}r=e%i;o=e/i|0;g.push(oa,p*r+b*o+w,m*r+y*o+x);n[e]||--d}while(c!==e);--s}return[na,[new Float32Array(g)],new Float32Array([0,0,t,a])]}(p);if(b){r.addImageOps(aa,b,g);return}warn("Cannot compile Type3 gly\
+ph.");r.addImageOps(Vt,[p],g);return}const e=`mask_${this.idFactory.createObjId()}`;r.addDependency(e);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;this._sendImgData(e,p);m=Vt;b=[{data:e,width:p.width,height:p.height,interpolate:p.interpolate,count:1}];r.addImageOps(m,b,g);if(i){const t={objId:e,fn:m,args:b,optionalContent:g};n.set(i,u,t);u&&this._regionalImageCache.set(null,u,t)}return}const y=h.has("SMask")||h.has("Mask");if(a&&d+f<200&&!y){try{const i=new PDFImage({xref:this.xref,res:e\
+,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s});p=await i.createImageData(!0,!1);r.addImageOps(Yt,[p],g)}catch(e){const t=`Unable to decode inline image: "${e}".`;if(!c)throw new Error(t);warn(t)}return}let w=`img_${this.idFactory.createObjId()}`,x=!1,S=null;if(this.parsingType3Font)w=`${this.idFactory.getDocId()}_type3_${w}`;else if(i&&u){x=this.globalImageCache.shouldCache(u,this.pageIndex);if(x){assert(!\
+a,"Cannot cache an inline image globally.");w=`${this.idFactory.getDocId()}_${w}`}}r.addDependency(w);m=Jt;b=[w,d,f];r.addImageOps(m,b,g,y);if(x){S={objId:w,fn:m,args:b,optionalContent:g,hasMask:y,byteSize:0};if(this.globalImageCache.hasDecodeFailed(u)){this.globalImageCache.setData(u,S);this._sendImgData(w,null,x);return}if(d*f>25e4||y){const e=await this.handler.sendWithPromise("commonobj",[w,"CopyLocalImage",{imageRef:u}]);if(e){this.globalImageCache.setData(u,S);this.globalImageCache.addByte\
+Size(u,e);return}}}PDFImage.buildImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s}).then((async e=>{p=await e.createImageData(!1,l);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;p.ref=u;x&&this.globalImageCache.addByteSize(u,p.dataLen);return this._sendImgData(w,p,x)})).catch((e=>{warn(`Unable to decode image "${w}": "${e}".`);u&&this.globalImageCache.addDecodeFailed(u);return \
+this._sendImgData(w,null,x)}));if(i){const e={objId:w,fn:m,args:b,optionalContent:g,hasMask:y};n.set(i,u,e);if(u){this._regionalImageCache.set(null,u,e);if(x){assert(S,"The global cache-data must be available.");this.globalImageCache.setData(u,S)}}}}handleSMask(e,t,a,r,i,n,s){const o=e.get("G"),c={subtype:e.get("S").name,backdrop:e.get("BC")},l=e.get("TR");if(isPDFFunction(l)){const e=this._pdfFunctionFactory.create(l),t=new Uint8Array(256),a=new Float32Array(1);for(let r=0;r<256;r++){a[0]=r/255\
+;e(a,0,a,0);t[r]=255*a[0]|0}c.transferMap=t}return this.buildFormXObject(t,o,c,a,r,i.state.clone({newPath:!0}),n,s)}handleTransferFunction(e){let t;if(Array.isArray(e))t=e;else{if(!isPDFFunction(e))return null;t=[e]}const a=[];let r=0,i=0;for(const e of t){const t=this.xref.fetchIfRef(e);r++;if(isName(t,"Identity")){a.push(null);continue}if(!isPDFFunction(t))return null;const n=this._pdfFunctionFactory.create(t),s=new Uint8Array(256),o=new Float32Array(1);for(let e=0;e<256;e++){o[0]=e/255;n(o,0,\
+o,0);s[e]=255*o[0]|0}a.push(s);i++}return 1!==r&&4!==r||0===i?null:a}handleTilingType(e,t,a,r,i,n,s,o){const c=new OperatorList,l=Dict.merge({xref:this.xref,dictArray:[i.get("Resources"),a]});return this.getOperatorList({stream:r,task:s,resources:l,operatorList:c}).then((function(){const a=c.getIR(),r=getTilingPatternIR(a,i,t);n.addDependencies(c.dependencies);n.addOp(e,r);i.objId&&o.set(null,i.objId,{operatorListIR:a,dict:i})})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ign\
+oreErrors)throw e;warn(`handleTilingType - ignoring pattern: "${e}".`)}}))}async handleSetFont(e,t,a,r,i,n,s=null,o=null){const c=t?.[0]instanceof Name?t[0].name:null,l=await this.loadFont(c,a,e,i,s,o);l.font.isType3Font&&r.addDependencies(l.type3Dependencies);n.font=l.font;l.send(this.handler);return l.loadedName}handleText(e,t){const a=t.font,r=a.charsToGlyphs(e);if(a.data){(!!(t.textRenderingMode&S)||"Pattern"===t.fillColorSpace.name||a.disableFontFace)&&PartialEvaluator.buildFontPaths(a,r,th\
+is.handler,this.options)}return r}ensureStateFont(e){if(e.font)return;const t=new FormatError("Missing setFont (Tf) operator before text rendering operator.");if(!this.options.ignoreErrors)throw t;warn(`ensureStateFont: "${t}".`)}async setGState({resources:e,gState:t,operatorList:a,cacheKey:r,task:i,stateManager:n,localGStateCache:s,localColorSpaceCache:o,seenRefs:c}){const l=t.objId;let h=!0;const u=[];let d=Promise.resolve();for(const[r,s]of t)switch(r){case"Type":break;case"LW":if("number"!=t\
+ypeof s){warn(`Invalid LW (line width): ${s}`);break}u.push([r,Math.abs(s)]);break;case"LC":case"LJ":case"ML":case"D":case"RI":case"FL":case"CA":case"ca":u.push([r,s]);break;case"Font":h=!1;d=d.then((()=>this.handleSetFont(e,null,s[0],a,i,n.state).then((function(e){a.addDependency(e);u.push([r,[e,s[1]]])}))));break;case"BM":u.push([r,normalizeBlendMode(s)]);break;case"SMask":if(isName(s,"None")){u.push([r,!1]);break}if(s instanceof Dict){h=!1;d=d.then((()=>this.handleSMask(s,e,a,i,n,o,c)));u.pus\
+h([r,!0])}else warn("Unsupported SMask type");break;case"TR":const t=this.handleTransferFunction(s);u.push([r,t]);break;case"OP":case"op":case"OPM":case"BG":case"BG2":case"UCR":case"UCR2":case"TR2":case"HT":case"SM":case"SA":case"AIS":case"TK":info("graphic state operator "+r);break;default:info("Unknown graphic state operator "+r)}await d;u.length>0&&a.addOp(De,[u]);h&&s.set(r,l,u)}loadFont(e,t,a,r,i=null,n=null){const errorFont=async()=>new TranslatedFont({loadedName:"g_font_error",font:new Er\
+rorFont(`Font "${e}" is not available.`),dict:t});let s;if(t)t instanceof Ref&&(s=t);else{const t=a.get("Font");t&&(s=t.getRaw(e))}if(s){if(this.type3FontRefs?.has(s))return errorFont();if(this.fontCache.has(s))return this.fontCache.get(s);try{t=this.xref.fetchIfRef(s)}catch(e){warn(`loadFont - lookup failed: "${e}".`)}}if(!(t instanceof Dict)){if(!this.options.ignoreErrors&&!this.parsingType3Font){warn(`Font "${e}" is not available.`);return errorFont()}warn(`Font "${e}" is not available -- att\
+empting to fallback to a default font.`);t=i||PartialEvaluator.fallbackFontDict}if(t.cacheKey&&this.fontCache.has(t.cacheKey))return this.fontCache.get(t.cacheKey);const{promise:o,resolve:c}=Promise.withResolvers();let l;try{l=this.preEvaluateFont(t);l.cssFontInfo=n}catch(e){warn(`loadFont - preEvaluateFont failed: "${e}".`);return errorFont()}const{descriptor:h,hash:u}=l,d=s instanceof Ref;let f;if(u&&h instanceof Dict){const e=h.fontAliases||=Object.create(null);if(e[u]){const t=e[u].aliasRef;\
+if(d&&t&&this.fontCache.has(t)){this.fontCache.putAlias(s,t);return this.fontCache.get(s)}}else e[u]={fontID:this.idFactory.createFontId()};d&&(e[u].aliasRef=s);f=e[u].fontID}else f=this.idFactory.createFontId();assert(f?.startsWith("f"),\'The "fontID" must be (correctly) defined.\');if(d)this.fontCache.put(s,o);else{t.cacheKey=`cacheKey_${f}`;this.fontCache.put(t.cacheKey,o)}t.loadedName=`${this.idFactory.getDocId()}_${f}`;this.translateFont(l).then((async e=>{const i=new TranslatedFont({loadedNa\
+me:t.loadedName,font:e,dict:t});if(e.isType3Font)try{await i.loadType3Data(this,a,r)}catch(e){throw new Error(`Type3 font load error: ${e}`)}c(i)})).catch((e=>{warn(`loadFont - translateFont failed: "${e}".`);c(new TranslatedFont({loadedName:t.loadedName,font:new ErrorFont(e?.message),dict:t}))}));return o}buildPath(e,t,a){const{pathMinMax:r,pathBuffer:i}=a;switch(0|e){case Xe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1],s=t[2],o=t[3],c=e+s,l=n+o;0===s||0===o?i.push(sa,e,n,oa,c,l,la):i.p\
+ush(sa,e,n,oa,c,n,oa,c,l,oa,e,l,la);Util.rectBoundingBox(e,n,c,l,r);break}case Ee:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(sa,e,n);Util.pointBoundingBox(e,n,r);break}case Pe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(oa,e,n);Util.pointBoundingBox(e,n,r);break}case Le:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l,h,u]=t;a.currentPointX=h;a.currentPointY=u;i.push(ca,s,o,c,l,h,u);Util.bezierBoundingBox(e,n,s,o,c,l,h,u,r);break}case je:{const e=a.currentPoin\
+tX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,e,n,s,o,c,l);Util.bezierBoundingBox(e,n,e,n,s,o,c,l,r);break}case _e:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,s,o,c,l,c,l);Util.bezierBoundingBox(e,n,s,o,c,l,c,l,r);break}case Ue:i.push(la)}}_getColorSpace(e,t,a){return ColorSpaceUtils.parse({cs:e,xref:this.xref,resources:t,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpac\
+eCache,localColorSpaceCache:a,asyncIfNotCached:!0})}async _handleColorSpace(e){try{return await e}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`_handleColorSpace - ignoring ColorSpace: "${e}".`);return null}throw e}}parseShading({shading:e,resources:t,localColorSpaceCache:a,localShadingPatternCache:r}){let i,n=r.get(e);if(n)return n;try{i=Pattern.parseShading(e,this.xref,t,this._pdfFunctionFactory,this.globalColorSpaceCache,a).getIR()}catch(t){if(t insta\
+nceof AbortException)return null;if(this.options.ignoreErrors){warn(`parseShading - ignoring shading: "${t}".`);r.set(e,null);return null}throw t}n=`pattern_${this.idFactory.createObjId()}`;this.parsingType3Font&&(n=`${this.idFactory.getDocId()}_type3_${n}`);r.set(e,n);this.parsingType3Font?this.handler.send("commonobj",[n,"Pattern",i]):this.handler.send("obj",[n,this.pageIndex,"Pattern",i]);return n}handleColorN(e,t,a,r,i,n,s,o,c,l){const h=a.pop();if(h instanceof Name){const u=i.getRaw(h.name)\
+,d=u instanceof Ref&&c.getByRef(u);if(d)try{const i=r.base?r.base.getRgbHex(a,0):null,n=getTilingPatternIR(d.operatorListIR,d.dict,i);e.addOp(t,n);return}catch{}const f=this.xref.fetchIfRef(u);if(f){const i=f instanceof BaseStream?f.dict:f,h=i.get("PatternType");if(h===Rn){const o=r.base?r.base.getRgbHex(a,0):null;return this.handleTilingType(t,o,n,f,i,e,s,c)}if(h===Nn){const a=i.get("Shading"),r=this.parseShading({shading:a,resources:n,localColorSpaceCache:o,localShadingPatternCache:l});if(r){c\
+onst a=lookupMatrix(i.getArray("Matrix"),null);e.addOp(t,["Shading",r,a])}return}throw new FormatError(`Unknown PatternType: ${h}`)}}throw new FormatError(`Unknown PatternName: ${h}`)}_parseVisibilityExpression(e,t,a){if(++t>10){warn("Visibility expression is too deeply nested");return}const r=e.length,i=this.xref.fetchIfRef(e[0]);if(!(r<2)&&i instanceof Name){switch(i.name){case"And":case"Or":case"Not":a.push(i.name);break;default:warn(`Invalid operator ${i.name} in visibility expression`);retu\
+rn}for(let i=1;i<r;i++){const r=e[i],n=this.xref.fetchIfRef(r);if(Array.isArray(n)){const e=[];a.push(e);this._parseVisibilityExpression(n,t,e)}else r instanceof Ref&&a.push(r.toString())}}else warn("Invalid visibility expression")}async parseMarkedContentProps(e,t){let a;if(e instanceof Name){a=t.get("Properties").get(e.name)}else{if(!(e instanceof Dict))throw new FormatError("Optional content properties malformed.");a=e}const r=a.get("Type")?.name;if("OCG"===r)return{type:r,id:a.objId};if("OCM\
+D"===r){const e=a.get("VE");if(Array.isArray(e)){const t=[];this._parseVisibilityExpression(e,0,t);if(t.length>0)return{type:"OCMD",expression:t}}const t=a.get("OCGs");if(Array.isArray(t)||t instanceof Dict){const e=[];if(Array.isArray(t))for(const a of t)e.push(a.toString());else e.push(t.objId);return{type:r,ids:e,policy:a.get("P")instanceof Name?a.get("P").name:null,expression:null}}if(t instanceof Ref)return{type:r,id:t.toString()}}return null}getOperatorList({stream:e,task:t,resources:a,ope\
+ratorList:r,initialState:i=null,fallbackFontDict:n=null,prevRefs:s=null}){const o=e.dict?.objId,c=new RefSet(s);if(o){if(s?.has(o))throw new Error(`getOperatorList - ignoring circular reference: ${o}`);c.put(o)}a||=Dict.empty;i||=new EvalState;if(!r)throw new Error(\'getOperatorList: missing "operatorList" parameter\');const l=this,h=this.xref,u=new LocalImageCache,d=new LocalColorSpaceCache,f=new LocalGStateCache,g=new LocalTilingPatternCache,p=new Map,m=a.get("XObject")||Dict.empty,b=a.get("Patt\
+ern")||Dict.empty,y=new StateManager(i),w=new EvaluatorPreprocessor(e,h,y),x=new TimeSlotManager;function closePendingRestoreOPS(e){for(let e=0,t=w.savedStatesDepth;e<t;e++)r.addOp(Re,[])}return new Promise((function promiseBody(e,i){const next=function(t){Promise.all([t,r.ready]).then((function(){try{promiseBody(e,i)}catch(e){i(e)}}),i)};t.ensureNotTerminated();x.reset();const s={};let o,S,k,C,v,F;for(;!(o=x.check());){s.args=null;if(!w.read(s))break;let e=s.args,i=s.fn;switch(0|i){case Nt:F=e[\
+0]instanceof Name;v=e[0].name;if(F){const t=u.getByName(v);if(t){addCachedImageOps(r,t);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("XObject must be referred to by name.");let n=m.getRaw(v);if(n instanceof Ref){const t=u.getByRef(n)||l._regionalImageCache.getByRef(n)||l.globalImageCache.getData(n,l.pageIndex);if(t){addCachedImageOps(r,t);e();return}n=h.fetch(n)}if(!(n instanceof BaseStream))throw new FormatError("XObject should be a stream");const s=n.dict.get("S\
+ubtype");if(!(s instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==s.name)if("Image"!==s.name){if("PS"!==s.name)throw new FormatError(`Unhandled XObject subtype ${s.name}`);info("Ignored XObject subtype PS");e()}else l.buildPaintImageXObject({resources:a,image:n,operatorList:r,cacheKey:v,localImageCache:u,localColorSpaceCache:d}).then(e,i);else{y.save();l.buildFormXObject(a,n,null,r,t,y.state.clone({newPath:!0}),d,c).then((function(){y.restore();e()}),i)}}))\
+.catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring XObject: "${e}".`)}})));return;case nt:const s=e[1];next(l.handleSetFont(a,e,null,r,t,y.state,n).then((function(e){r.addDependency(e);r.addOp(nt,[e,s])})));return;case Rt:const o=e[0].cacheKey;if(o){const t=u.getByName(o);if(t){addCachedImageOps(r,t);e=null;continue}}next(l.buildPaintImageXObject({resources:a,image:e[0],isInline:!0,operatorList:r,cacheKey:o,localImageCache:u\
+,localColorSpaceCache:d}));return;case dt:if(!y.state.font){l.ensureStateFont(y.state);continue}e[0]=l.handleText(e[0],y.state);break;case ft:if(!y.state.font){l.ensureStateFont(y.state);continue}const w=[],x=y.state;for(const t of e[0])"string"==typeof t?w.push(...l.handleText(t,x)):"number"==typeof t&&w.push(t);e[0]=w;i=dt;break;case gt:if(!y.state.font){l.ensureStateFont(y.state);continue}r.addOp(ut);e[0]=l.handleText(e[0],y.state);i=dt;break;case pt:if(!y.state.font){l.ensureStateFont(y.stat\
+e);continue}r.addOp(ut);r.addOp(at,[e.shift()]);r.addOp(tt,[e.shift()]);e[0]=l.handleText(e[0],y.state);i=dt;break;case st:y.state.textRenderingMode=e[0];break;case wt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.fillColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.fillColorSpace=e||ColorSpaceUtils.gray})));return}case yt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.strokeColorSpace=t;continue}next(l._handleColorSpace(t).th\
+en((e=>{y.state.strokeColorSpace=e||ColorSpaceUtils.gray})));return}case At:C=y.state.fillColorSpace;e=[C.getRgbHex(e,0)];i=It;break;case xt:C=y.state.strokeColorSpace;e=[C.getRgbHex(e,0)];i=Ft;break;case vt:y.state.fillColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break;case Ct:y.state.strokeColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break;case Ot:y.state.fillColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];\
+i=It;break;case Tt:y.state.strokeColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=Ft;break;case It:y.state.fillColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case Ft:y.state.strokeColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case kt:C=y.state.patternFillColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break}e=[];i=ia;break}if("Pattern"===C.name){next(l.handleColorN(r,kt,e,\
+C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=It;break;case St:C=y.state.patternStrokeColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break}e=[];i=ra;break}if("Pattern"===C.name){next(l.handleColorN(r,St,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=Ft;break;case Mt:let T;try{const t=a.get("Shading");if(!t)throw new FormatError("No shading resource found");T=t.get(e[0].name);if(!T)throw new FormatError("No shading object found")}catch(e){if(e instanceof\
+ AbortException)continue;if(l.options.ignoreErrors){warn(`getOperatorList - ignoring Shading: "${e}".`);continue}throw e}const O=l.parseShading({shading:T,resources:a,localColorSpaceCache:d,localShadingPatternCache:p});if(!O)continue;e=[O];i=Mt;break;case De:F=e[0]instanceof Name;v=e[0].name;if(F){const t=f.getByName(v);if(t){t.length>0&&r.addOp(De,[t]);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("GState must be referred to by name.");const n=a.get("ExtGState");i\
+f(!(n instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const s=n.get(v);if(!(s instanceof Dict))throw new FormatError("GState should be a dictionary.");l.setGState({resources:a,gState:s,operatorList:r,cacheKey:v,task:t,stateManager:y,localGStateCache:f,localColorSpaceCache:d,seenRefs:c}).then(e,i)})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring ExtGState: "${e}".`)}})));return;case Ce:{const[t\
+]=e;if("number"!=typeof t){warn(`Invalid setLineWidth: ${t}`);continue}e[0]=Math.abs(t);break}case Ee:case Pe:case Le:case je:case _e:case Ue:case Xe:l.buildPath(i,e,y.state);continue;case qe:case He:case We:case ze:case $e:case Ge:case Ve:case Ke:case Je:{const{state:{pathBuffer:e,pathMinMax:t}}=y;i!==He&&i!==Ve&&i!==Ke||e.push(la);if(0===e.length)r.addOp(aa,[i,[null],null]);else{r.addOp(aa,[i,[new Float32Array(e)],t.slice()]);e.length=0;t.set([1/0,1/0,-1/0,-1/0],0)}continue}case ht:r.addOp(i,[\
+new Float32Array(e)]);continue;case Et:case Pt:case Ut:case Xt:continue;case jt:if(!(e[0]instanceof Name)){warn(`Expected name for beginMarkedContentProps arg0=${e[0]}`);r.addOp(jt,["OC",null]);continue}if("OC"===e[0].name){next(l.parseMarkedContentProps(e[1],a).then((e=>{r.addOp(jt,["OC",e])})).catch((e=>{if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring beginMarkedContentProps: "${e}".`);r.addOp(jt,["OC",null])}})));return}e=[e[0].name,e[1]i\
+nstanceof Dict?e[1].get("MCID"):null];break;default:if(null!==e){for(S=0,k=e.length;S<k&&!(e[S]instanceof Dict);S++);if(S<k){warn("getOperatorList - ignoring operator: "+i);continue}}}r.addOp(i,e)}if(o)next(En);else{closePendingRestoreOPS();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring errors during "${t.name}" task: "${e}".`);closePendingRestoreOPS()}}))}getTextContent({stream:e,task:a,resources:r,stateManager:i=null\
+,includeMarkedContent:n=!1,sink:s,seenStyles:o=new Set,viewBox:c,lang:l=null,markedContentData:h=null,disableNormalization:u=!1,keepWhiteSpace:d=!1,prevRefs:f=null,intersector:g=null}){const p=e.dict?.objId,m=new RefSet(f);if(p){if(f?.has(p))throw new Error(`getTextContent - ignoring circular reference: ${p}`);m.put(p)}r||=Dict.empty;i||=new StateManager(new TextState);n&&(h||={level:0});const b={items:[],styles:Object.create(null),lang:l},y={initialized:!1,str:[],totalWidth:0,totalHeight:0,widt\
+h:0,height:0,vertical:!1,prevTransform:null,textAdvanceScale:0,spaceInFlowMin:0,spaceInFlowMax:0,trackingSpaceMin:1/0,negativeSpaceMax:-1/0,notASpace:-1/0,transform:null,fontName:null,hasEOL:!1},w=[" "," "];let x=0;function saveLastChar(e){const t=(x+1)%2,a=" "!==w[x]&&" "===w[t];w[x]=e;x=t;return!d&&a}function shouldAddWhitepsace(){return!d&&" "!==w[x]&&" "===w[(x+1)%2]}function resetLastChars(){w[0]=w[1]=" ";x=0}const S=this,k=this.xref,C=[];let v=null;const F=new LocalImageCache,T=new LocalGS\
+tateCache,O=new EvaluatorPreprocessor(e,k,i);let M;function pushWhitespace({width:e=0,height:t=0,transform:a=y.prevTransform,fontName:r=y.fontName}){g?.addExtraChar(" ");b.items.push({str:" ",dir:"ltr",width:e,height:t,transform:a,fontName:r,hasEOL:!1})}function getCurrentTextTransform(){const e=M.font,a=[M.fontSize*M.textHScale,0,0,M.fontSize,0,M.textRise];if(e.isType3Font&&(M.fontSize<=1||e.isCharBBox)&&!isArrayEqual(M.fontMatrix,t)){const t=e.bbox[3]-e.bbox[1];t>0&&(a[3]*=t*M.fontMatrix[3])}r\
+eturn Util.transform(M.ctm,Util.transform(M.textMatrix,a))}function ensureTextContentItem(){if(y.initialized)return y;const{font:e,loadedName:t}=M;if(!o.has(t)){o.add(t);b.styles[t]={fontFamily:e.fallbackName,ascent:e.ascent,descent:e.descent,vertical:e.vertical};if(S.options.fontExtraProperties&&e.systemFontInfo){const a=b.styles[t];a.fontSubstitution=e.systemFontInfo.css;a.fontSubstitutionLoadedName=e.systemFontInfo.loadedName}}y.fontName=t;const a=y.transform=getCurrentTextTransform();if(e.ve\
+rtical){y.width=y.totalWidth=Math.hypot(a[0],a[1]);y.height=y.totalHeight=0;y.vertical=!0}else{y.width=y.totalWidth=0;y.height=y.totalHeight=Math.hypot(a[2],a[3]);y.vertical=!1}const r=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),i=Math.hypot(M.ctm[0],M.ctm[1]);y.textAdvanceScale=i*r;const{fontSize:n}=M;y.trackingSpaceMin=.102*n;y.notASpace=.03*n;y.negativeSpaceMax=-.2*n;y.spaceInFlowMin=.102*n;y.spaceInFlowMax=.6*n;y.hasEOL=!1;y.initialized=!0;return y}function updateAdvanceScale(){if(!y\
+.initialized)return;const e=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),t=Math.hypot(M.ctm[0],M.ctm[1])*e;if(t!==y.textAdvanceScale){if(y.vertical){y.totalHeight+=y.height*y.textAdvanceScale;y.height=0}else{y.totalWidth+=y.width*y.textAdvanceScale;y.width=0}y.textAdvanceScale=t}}function runBidiTransform(e){let t=e.str.join("");u||(t=function normalizeUnicode(e){if(!ma){ma=/([\\u00a0\\u00b5\\u037e\\u0eb3\\u2000-\\u200a\\u202f\\u2126\\ufb00-\\ufb04\\ufb06\\ufb20-\\ufb36\\ufb38-\\ufb3c\\ufb3e\\ufb40-\\ufb41\
+\\ufb43-\\ufb44\\ufb46-\\ufba1\\ufba4-\\ufba9\\ufbae-\\ufbb1\\ufbd3-\\ufbdc\\ufbde-\\ufbe7\\ufbea-\\ufbf8\\ufbfc-\\ufbfd\\ufc00-\\ufc5d\\ufc64-\\ufcf1\\ufcf5-\\ufd3d\\ufd88\\ufdf4\\ufdfa-\\ufdfb\\ufe71\\ufe77\\ufe79\\ufe7b\\ufe7d]+)|(\\ufb05+)/gu;ba=new Map([["ſt","ſt"]])}return e.replaceAll(ma,((e,t,a)=>t?t.normalize("NFKC"):ba.get(a)))}(t));const a=bidi(t,-1,e.vertical);return{str:a.str,dir:a.dir,width:Math.abs(e.totalWidth),height:Math.abs(e.totalHeight),transform:e.transform,fontName:e.fontName,hasEOL:e.hasEOL}}async functi\
+on handleSetFont(e,i){const n=await S.loadFont(e,i,r,a);M.loadedName=n.loadedName;M.font=n.font;M.fontMatrix=n.font.fontMatrix||t}function applyInverseRotation(e,t,a){const r=Math.hypot(a[0],a[1]);return[(a[0]*e+a[1]*t)/r,(a[2]*e+a[3]*t)/r]}function compareWithLastPosition(e){const t=getCurrentTextTransform();let a=t[4],r=t[5];if(M.font?.vertical){if(a<c[0]||a>c[2]||r+e<c[1]||r>c[3])return!1}else if(a+e<c[0]||a>c[2]||r<c[1]||r>c[3])return!1;if(!M.font||!y.prevTransform)return!0;let i=y.prevTrans\
+form[4],n=y.prevTransform[5];if(i===a&&n===r)return!0;let s=-1;t[0]&&0===t[1]&&0===t[2]?s=t[0]>0?0:180:t[1]&&0===t[0]&&0===t[3]&&(s=t[1]>0?90:270);switch(s){case 0:break;case 90:[a,r]=[r,a];[i,n]=[n,i];break;case 180:[a,r,i,n]=[-a,-r,-i,-n];break;case 270:[a,r]=[-r,-a];[i,n]=[-n,-i];break;default:[a,r]=applyInverseRotation(a,r,t);[i,n]=applyInverseRotation(i,n,y.prevTransform)}if(M.font.vertical){const e=(n-r)/y.textAdvanceScale,t=a-i,s=Math.sign(y.height);if(e<s*y.negativeSpaceMax){if(Math.abs(\
+t)>.5*y.width){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(t)>y.width){appendEOL();return!0}e<=s*y.notASpace&&resetLastChars();if(e<=s*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({height:Math.abs(e)})}else y.height+=e;else if(!addFakeSpaces(e,y.prevTransform,s))if(0===y.str.length){resetLastChars();pushWhitespace({height:Math.abs(e)})}else y.height+=e;Math.abs(t)>.25*y.width&&flushTextContentItem();retu\
+rn!0}const o=(a-i)/y.textAdvanceScale,l=r-n,h=Math.sign(y.width);if(o<h*y.negativeSpaceMax){if(Math.abs(l)>.5*y.height){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(l)>y.height){appendEOL();return!0}o<=h*y.notASpace&&resetLastChars();if(o<=h*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({width:Math.abs(o)})}else y.width+=o;else if(!addFakeSpaces(o,y.prevTransform,h))if(0===y.str.length){resetLastChars();pu\
+shWhitespace({width:Math.abs(o)})}else y.width+=o;Math.abs(l)>.25*y.height&&flushTextContentItem();return!0}function buildTextContentItem({chars:e,extraSpacing:t}){const a=M.font;if(!e){const e=M.charSpacing+t;e&&(a.vertical?M.translateTextMatrix(0,-e):M.translateTextMatrix(e*M.textHScale,0));d&&compareWithLastPosition(0);return}const r=a.charsToGlyphs(e),i=M.fontMatrix[0]*M.fontSize;for(let e=0,n=r.length;e<n;e++){const s=r[e],{category:o}=s;if(o.isInvisibleFormatMark)continue;let c=M.charSpaci\
+ng+(e+1===n?t:0),l=s.width;a.vertical&&(l=s.vmetric?s.vmetric[0]:-l);let h=l*i;if(!d&&o.isWhitespace){if(a.vertical){c+=-h+M.wordSpacing;M.translateTextMatrix(0,-c)}else{c+=h+M.wordSpacing;M.translateTextMatrix(c*M.textHScale,0)}saveLastChar(" ");continue}if(!o.isZeroWidthDiacritic&&!compareWithLastPosition(h)){a.vertical?M.translateTextMatrix(0,h):M.translateTextMatrix(h*M.textHScale,0);continue}const u=ensureTextContentItem();o.isZeroWidthDiacritic&&(h=0);if(a.vertical){g?.addGlyph(getCurrentT\
+extTransform(),0,h,s.unicode);M.translateTextMatrix(0,h);h=Math.abs(h);u.height+=h}else{h*=M.textHScale;g?.addGlyph(getCurrentTextTransform(),h,0,s.unicode);M.translateTextMatrix(h,0);u.width+=h}h&&(u.prevTransform=getCurrentTextTransform());const f=s.unicode;if(saveLastChar(f)){u.str.push(" ");g?.addExtraChar(" ")}g||u.str.push(f);c&&(a.vertical?M.translateTextMatrix(0,-c):M.translateTextMatrix(c*M.textHScale,0))}}function appendEOL(){g?.addExtraChar("\\n");resetLastChars();if(y.initialized){y.h\
+asEOL=!0;flushTextContentItem()}else b.items.push({str:"",dir:"ltr",width:0,height:0,transform:getCurrentTextTransform(),fontName:M.loadedName,hasEOL:!0})}function addFakeSpaces(e,t,a){if(a*y.spaceInFlowMin<=e&&e<=a*y.spaceInFlowMax){if(y.initialized){resetLastChars();y.str.push(" ");g?.addExtraChar(" ")}return!1}const r=y.fontName;let i=0;if(y.vertical){i=e;e=0}flushTextContentItem();resetLastChars();pushWhitespace({width:Math.abs(e),height:Math.abs(i),transform:t||getCurrentTextTransform(),fon\
+tName:r});return!0}function flushTextContentItem(){if(y.initialized&&y.str){y.vertical?y.totalHeight+=y.height*y.textAdvanceScale:y.totalWidth+=y.width*y.textAdvanceScale;b.items.push(runBidiTransform(y));y.initialized=!1;y.str.length=0}}function enqueueChunk(e=!1){const t=b.items.length;if(0!==t&&!(e&&t<10)){s?.enqueue(b,t);b.items=[];b.styles=Object.create(null)}}const D=new TimeSlotManager;return new Promise((function promiseBody(e,t){const next=function(a){enqueueChunk(!0);Promise.all([a,s?.\
+ready]).then((function(){try{promiseBody(e,t)}catch(e){t(e)}}),t)};a.ensureNotTerminated();D.reset();const f={};let g,p,y,w=[];for(;!(g=D.check());){w.length=0;f.args=w;if(!O.read(f))break;const e=M;M=i.state;const t=f.fn;w=f.args;switch(0|t){case nt:const t=w[0].name,f=w[1];if(M.font&&t===M.fontName&&f===M.fontSize)break;flushTextContentItem();M.fontName=t;M.fontSize=f;next(handleSetFont(t,null));return;case ot:M.textRise=w[0];break;case rt:M.textHScale=w[0]/100;break;case it:M.leading=w[0];bre\
+ak;case ct:M.translateTextLineMatrix(w[0],w[1]);M.textMatrix=M.textLineMatrix.slice();break;case lt:M.leading=-w[1];M.translateTextLineMatrix(w[0],w[1]);M.textMatrix=M.textLineMatrix.slice();break;case ut:M.carriageReturn();break;case ht:M.setTextMatrix(w[0],w[1],w[2],w[3],w[4],w[5]);M.setTextLineMatrix(w[0],w[1],w[2],w[3],w[4],w[5]);updateAdvanceScale();break;case tt:M.charSpacing=w[0];break;case at:M.wordSpacing=w[0];break;case Qe:M.textMatrix=Fa.slice();M.textLineMatrix=Fa.slice();break;case \
+ft:if(!i.state.font){S.ensureStateFont(i.state);continue}const g=(M.font.vertical?1:-1)*M.fontSize/1e3,x=w[0];for(let e=0,t=x.length;e<t;e++){const t=x[e];if("string"==typeof t)C.push(t);else if("number"==typeof t&&0!==t){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:t*g})}}if(C.length>0){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:0})}break;case dt:if(!i.state.font){S.ensureStateFont(i.state);continue}buildTextContentItem({chars:w[0],extra\
+Spacing:0});break;case gt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.carriageReturn();buildTextContentItem({chars:w[0],extraSpacing:0});break;case pt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.wordSpacing=w[0];M.charSpacing=w[1];M.carriageReturn();buildTextContentItem({chars:w[2],extraSpacing:0});break;case Nt:flushTextContentItem();v??=r.get("XObject")||Dict.empty;y=w[0]instanceof Name;p=w[0].name;if(y&&F.getByName(p))break;next(new Promise((function(e,t){if(!y)throw n\
+ew FormatError("XObject must be referred to by name.");let f=v.getRaw(p);if(f instanceof Ref){if(F.getByRef(f)){e();return}if(S.globalImageCache.getData(f,S.pageIndex)){e();return}f=k.fetch(f)}if(!(f instanceof BaseStream))throw new FormatError("XObject should be a stream");const{dict:g}=f,b=g.get("Subtype");if(!(b instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==b.name){F.set(p,g.objId,!0);e();return}const w=i.state.clone(),x=new StateManager(w),C=lookupM\
+atrix(g.getArray("Matrix"),null);C&&x.transform(C);const T=g.get("Resources");enqueueChunk();const O={enqueueInvoked:!1,enqueue(e,t){this.enqueueInvoked=!0;s.enqueue(e,t)},get desiredSize(){return s.desiredSize??0},get ready(){return s.ready}};S.getTextContent({stream:f,task:a,resources:T instanceof Dict?T:r,stateManager:x,includeMarkedContent:n,sink:s&&O,seenStyles:o,viewBox:c,lang:l,markedContentData:h,disableNormalization:u,keepWhiteSpace:d,prevRefs:m}).then((function(){O.enqueueInvoked||F.se\
+t(p,g.objId,!0);e()}),t)})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring XObject: "${e}".`)}})));return;case De:y=w[0]instanceof Name;p=w[0].name;if(y&&T.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("GState must be referred to by name.");const a=r.get("ExtGState");if(!(a instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const i=a.get(p);if(!(i instanceof Dict))t\
+hrow new FormatError("GState should be a dictionary.");const n=i.get("Font");if(n){flushTextContentItem();M.fontName=null;M.fontSize=n[1];handleSetFont(null,n[0]).then(e,t)}else{T.set(p,i.objId,!0);e()}})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring ExtGState: "${e}".`)}})));return;case Lt:flushTextContentItem();if(n){h.level++;b.items.push({type:"beginMarkedContent",tag:w[0]instanceof Name?w[0].name:null})}break;case j\
+t:flushTextContentItem();if(n){h.level++;let e=null;w[1]instanceof Dict&&(e=w[1].get("MCID"));b.items.push({type:"beginMarkedContentProps",id:Number.isInteger(e)?`${S.idFactory.getPageObjId()}_mc${e}`:null,tag:w[0]instanceof Name?w[0].name:null})}break;case _t:flushTextContentItem();if(n){if(0===h.level)break;h.level--;b.items.push({type:"endMarkedContent"})}break;case Re:!e||e.font===M.font&&e.fontSize===M.fontSize&&e.fontName===M.fontName||flushTextContentItem()}if(b.items.length>=(s?.desiredS\
+ize??1)){g=!0;break}}if(g)next(En);else{flushTextContentItem();enqueueChunk();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getTextContent - ignoring errors during "${a.name}" task: "${e}".`);flushTextContentItem();enqueueChunk()}}))}async extractDataStructures(e,t){const a=this.xref;let r;const i=this.readToUnicode(t.toUnicode);if(t.composite){const a=e.get("CIDSystemInfo");a instanceof Dict&&(t.cidSystemInfo={registry:stringToPDFString(a.get(\
+"Registry")),ordering:stringToPDFString(a.get("Ordering")),supplement:a.get("Supplement")});try{const t=e.get("CIDToGIDMap");t instanceof BaseStream&&(r=t.getBytes())}catch(e){if(!this.options.ignoreErrors)throw e;warn(`extractDataStructures - ignoring CIDToGIDMap data: "${e}".`)}}const n=[];let s,o=null;if(e.has("Encoding")){s=e.get("Encoding");if(s instanceof Dict){o=s.get("BaseEncoding");o=o instanceof Name?o.name:null;if(s.has("Differences")){const e=s.get("Differences");let t=0;for(const r \
+of e){const e=a.fetchIfRef(r);if("number"==typeof e)t=e;else{if(!(e instanceof Name))throw new FormatError(`Invalid entry in \'Differences\' array: ${e}`);n[t++]=e.name}}}}else if(s instanceof Name)o=s.name;else{const e="Encoding is not a Name nor a Dict";if(!this.options.ignoreErrors)throw new FormatError(e);warn(e)}"MacRomanEncoding"!==o&&"MacExpertEncoding"!==o&&"WinAnsiEncoding"!==o&&(o=null)}const c=!t.file||t.isInternalFont,l=ei()[t.name];o&&c&&l&&(o=null);if(o)t.defaultEncoding=getEncoding(\
+o);else{const e=!!(t.flags&Pr),a=!!(t.flags&Lr);s=Ar;"TrueType"!==t.type||a||(s=kr);if(e||l){s=Sr;c&&(/Symbol/i.test(t.name)?s=Cr:/Dingbats/i.test(t.name)?s=vr:/Wingdings/i.test(t.name)&&(s=kr))}t.defaultEncoding=s}t.differences=n;t.baseEncodingName=o;t.hasEncoding=!!o||n.length>0;t.dict=e;t.toUnicode=await i;const h=await this.buildToUnicode(t);t.toUnicode=h;r&&(t.cidToGidMap=this.readCidToGidMap(r,h));return t}_simpleFontToUnicode(e,t=!1){assert(!e.composite,"Must be a simple font.");const a=[\
+],r=e.defaultEncoding.slice(),i=e.baseEncodingName,n=e.differences;for(const e in n){const t=n[e];".notdef"!==t&&(r[e]=t)}const s=Fr();for(const n in r){let o=r[n];if(""===o)continue;let c=s[o];if(void 0!==c){a[n]=String.fromCharCode(c);continue}let l=0;switch(o[0]){case"G":3===o.length&&(l=parseInt(o.substring(1),16));break;case"g":5===o.length&&(l=parseInt(o.substring(1),16));break;case"C":case"c":if(o.length>=3&&o.length<=4){const a=o.substring(1);if(t){l=parseInt(a,16);break}l=+a;if(Number.i\
+sNaN(l)&&Number.isInteger(parseInt(a,16)))return this._simpleFontToUnicode(e,!0)}break;case"u":c=getUnicodeForGlyph(o,s);-1!==c&&(l=c);break;default:switch(o){case"f_h":case"f_t":case"T_h":a[n]=o.replaceAll("_","");continue}}if(l>0&&l<=1114111&&Number.isInteger(l)){if(i&&l===+n){const e=getEncoding(i);if(e&&(o=e[n])){a[n]=String.fromCharCode(s[o]);continue}}a[n]=String.fromCodePoint(l)}}return a}async buildToUnicode(e){e.hasIncludedToUnicodeMap=e.toUnicode?.length>0;if(e.hasIncludedToUnicodeMap)\
+{!e.composite&&e.hasEncoding&&(e.fallbackToUnicode=this._simpleFontToUnicode(e));return e.toUnicode}if(!e.composite)return new ToUnicodeMap(this._simpleFontToUnicode(e));if(e.composite&&(e.cMap.builtInCMap&&!(e.cMap instanceof IdentityCMap)||"Adobe"===e.cidSystemInfo?.registry&&("GB1"===e.cidSystemInfo.ordering||"CNS1"===e.cidSystemInfo.ordering||"Japan1"===e.cidSystemInfo.ordering||"Korea1"===e.cidSystemInfo.ordering))){const{registry:t,ordering:a}=e.cidSystemInfo,r=Name.get(`${t}-${a}-UCS2`),i\
+=await CMapFactory.create({encoding:r,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null}),n=[],s=[];e.cMap.forEach((function(e,t){if(t>65535)throw new FormatError("Max size of CID is 65,535");const a=i.lookup(t);if(a){s.length=0;for(let e=0,t=a.length;e<t;e+=2)s.push((a.charCodeAt(e)<<8)+a.charCodeAt(e+1));n[e]=String.fromCharCode(...s)}}));return new ToUnicodeMap(n)}return new IdentityToUnicodeMap(e.firstChar,e.lastChar)}async readToUnicode(e){if(!e)return null;if(e instanceof Name){con\
+st t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});return t instanceof IdentityCMap?new IdentityToUnicodeMap(0,65535):new ToUnicodeMap(t.getMap())}if(e instanceof BaseStream)try{const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});if(t instanceof IdentityCMap)return new IdentityToUnicodeMap(0,65535);const a=new Array(t.length);t.forEach((function(e,t){if("number"==typeof t){a[e]=String.fromCode\
+Point(t);return}t.length%2!=0&&(t="\\0"+t);const r=[];for(let e=0;e<t.length;e+=2){const a=t.charCodeAt(e)<<8|t.charCodeAt(e+1);if(55296!=(63488&a)){r.push(a);continue}e+=2;const i=t.charCodeAt(e)<<8|t.charCodeAt(e+1);r.push(((1023&a)<<10)+(1023&i)+65536)}a[e]=String.fromCodePoint(...r)}));return new ToUnicodeMap(a)}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`readToUnicode - ignoring ToUnicode data: "${e}".`);return null}throw e}return null}readCidToGid\
+Map(e,t){const a=[];for(let r=0,i=e.length;r<i;r++){const i=e[r++]<<8|e[r],n=r>>1;(0!==i||t.has(n))&&(a[n]=i)}return a}extractWidths(e,t,a){const r=this.xref;let i=[],n=0;const s=[];let o;if(a.composite){const t=e.get("DW");n="number"==typeof t?Math.ceil(t):1e3;const c=e.get("W");if(Array.isArray(c))for(let e=0,t=c.length;e<t;e++){let t=r.fetchIfRef(c[e++]);if(!Number.isInteger(t))break;const a=r.fetchIfRef(c[e]);if(Array.isArray(a))for(const e of a){const a=r.fetchIfRef(e);"number"==typeof a&&(\
+i[t]=a);t++}else{if(!Number.isInteger(a))break;{const n=r.fetchIfRef(c[++e]);if("number"!=typeof n)continue;for(let e=t;e<=a;e++)i[e]=n}}}if(a.vertical){const t=e.getArray("DW2");let a=isNumberArray(t,2)?t:[880,-1e3];o=[a[1],.5*n,a[0]];a=e.get("W2");if(Array.isArray(a))for(let e=0,t=a.length;e<t;e++){let t=r.fetchIfRef(a[e++]);if(!Number.isInteger(t))break;const i=r.fetchIfRef(a[e]);if(Array.isArray(i))for(let e=0,a=i.length;e<a;e++){const a=[r.fetchIfRef(i[e++]),r.fetchIfRef(i[e++]),r.fetchIfRe\
+f(i[e])];isNumberArray(a,null)&&(s[t]=a);t++}else{if(!Number.isInteger(i))break;{const n=[r.fetchIfRef(a[++e]),r.fetchIfRef(a[++e]),r.fetchIfRef(a[++e])];if(!isNumberArray(n,null))continue;for(let e=t;e<=i;e++)s[e]=n}}}}}else{const s=e.get("Widths");if(Array.isArray(s)){let e=a.firstChar;for(const t of s){const a=r.fetchIfRef(t);"number"==typeof a&&(i[e]=a);e++}const o=t.get("MissingWidth");n="number"==typeof o?o:0}else{const t=e.get("BaseFont");if(t instanceof Name){const e=this.getBaseFontMetr\
+ics(t.name);i=this.buildCharCodeToWidth(e.widths,a);n=e.defaultWidth}}}let c=!0,l=n;for(const e in i){const t=i[e];if(t)if(l){if(l!==t){c=!1;break}}else l=t}c?a.flags|=Nr:a.flags&=~Nr;a.defaultWidth=n;a.widths=i;a.defaultVMetrics=o;a.vmetrics=s}isSerifFont(e){const t=e.split("-",1)[0];return t in Qr()||/serif/gi.test(t)}getBaseFontMetrics(e){let t=0,a=Object.create(null),r=!1;let i=Jr()[e]||e;const n=ii();i in n||(i=this.isSerifFont(e)?"Times-Roman":"Helvetica");const s=n[i];if("number"==typeof \
+s){t=s;r=!0}else a=s();return{defaultWidth:t,monospace:r,widths:a}}buildCharCodeToWidth(e,t){const a=Object.create(null),r=t.differences,i=t.defaultEncoding;for(let t=0;t<256;t++)t in r&&e[r[t]]?a[t]=e[r[t]]:t in i&&e[i[t]]&&(a[t]=e[i[t]]);return a}preEvaluateFont(e){const t=e;let a=e.get("Subtype");if(!(a instanceof Name))throw new FormatError("invalid font Subtype");let r,i=!1;if("Type0"===a.name){const t=e.get("DescendantFonts");if(!t)throw new FormatError("Descendant fonts are not specified"\
+);if(!((e=Array.isArray(t)?this.xref.fetchIfRef(t[0]):t)instanceof Dict))throw new FormatError("Descendant font is not a dictionary.");a=e.get("Subtype");if(!(a instanceof Name))throw new FormatError("invalid font Subtype");i=!0}let n=e.get("FirstChar");Number.isInteger(n)||(n=0);let s=e.get("LastChar");Number.isInteger(s)||(s=i?65535:255);const o=e.get("FontDescriptor"),c=e.get("ToUnicode")||t.get("ToUnicode");if(o){r=new MurmurHash3_64;const a=t.getRaw("Encoding");if(a instanceof Name)r.update\
+(a.name);else if(a instanceof Ref)r.update(a.toString());else if(a instanceof Dict)for(const e of a.getRawValues())if(e instanceof Name)r.update(e.name);else if(e instanceof Ref)r.update(e.toString());else if(Array.isArray(e)){const t=e.length,a=new Array(t);for(let r=0;r<t;r++){const t=e[r];t instanceof Name?a[r]=t.name:("number"==typeof t||t instanceof Ref)&&(a[r]=t.toString())}r.update(a.join())}r.update(`${n}-${s}`);if(c instanceof BaseStream){const e=c.str||c,t=e.buffer?new Uint8Array(e.buf\
+fer.buffer,0,e.bufferLength):new Uint8Array(e.bytes.buffer,e.start,e.end-e.start);r.update(t)}else c instanceof Name&&r.update(c.name);const o=e.get("Widths")||t.get("Widths");if(Array.isArray(o)){const e=[];for(const t of o)("number"==typeof t||t instanceof Ref)&&e.push(t.toString());r.update(e.join())}if(i){r.update("compositeFont");const a=e.get("W")||t.get("W");if(Array.isArray(a)){const e=[];for(const t of a)if("number"==typeof t||t instanceof Ref)e.push(t.toString());else if(Array.isArray(\
+t)){const a=[];for(const e of t)("number"==typeof e||e instanceof Ref)&&a.push(e.toString());e.push(`[${a.join()}]`)}r.update(e.join())}const i=e.getRaw("CIDToGIDMap")||t.getRaw("CIDToGIDMap");i instanceof Name?r.update(i.name):i instanceof Ref?r.update(i.toString()):i instanceof BaseStream&&r.update(i.peekBytes())}}return{descriptor:o,dict:e,baseDict:t,composite:i,type:a.name,firstChar:n,lastChar:s,toUnicode:c,hash:r?r.hexdigest():""}}async translateFont({descriptor:e,dict:a,baseDict:r,composit\
+e:i,type:n,firstChar:s,lastChar:o,toUnicode:c,cssFontInfo:l}){const h="Type3"===n;if(!e){if(!h){let e=a.get("BaseFont");if(!(e instanceof Name))throw new FormatError("Base font is not specified");e=e.name.replaceAll(/[,_]/g,"-");const t=this.getBaseFontMetrics(e),i=e.split("-",1)[0],l=(this.isSerifFont(i)?Er:0)|(t.monospace?Nr:0)|(ei()[i]?Pr:Lr),u={type:n,name:e,loadedName:r.loadedName,systemFontInfo:null,widths:t.widths,defaultWidth:t.defaultWidth,isSimulatedFlags:!0,flags:l,firstChar:s,lastCha\
+r:o,toUnicode:c,xHeight:0,capHeight:0,italicAngle:0,isType3Font:h},d=a.get("Widths"),f=getStandardFontName(e);let g=null;if(f){g=await this.fetchStandardFontData(f);u.isInternalFont=!!g}!u.isInternalFont&&this.options.useSystemFonts&&(u.systemFontInfo=getFontSubstitution(this.systemFontCache,this.idFactory,this.options.standardFontDataUrl,e,f,n));const p=await this.extractDataStructures(a,u);if(Array.isArray(d)){const e=[];let t=s;for(const a of d){const r=this.xref.fetchIfRef(a);"number"==typeo\
+f r&&(e[t]=r);t++}p.widths=e}else p.widths=this.buildCharCodeToWidth(t.widths,p);return new Font(e,g,p,this.options)}e=Dict.empty}let u=e.get("FontName"),d=a.get("BaseFont");"string"==typeof u&&(u=Name.get(u));"string"==typeof d&&(d=Name.get(d));const f=u?.name,g=d?.name;if(h)f||(u=Name.get(n));else if(f!==g){info(`The FontDescriptor\'s FontName is "${f}" but should be the same as the Font\'s BaseFont "${g}".`);f&&g&&(g.startsWith(f)||!isKnownFontName(f)&&isKnownFontName(g))&&(u=null);u||=d}if(!(u\
+ instanceof Name))throw new FormatError("invalid font name");let p,m,b,y,w;try{p=e.get("FontFile","FontFile2","FontFile3");if(p){if(!(p instanceof BaseStream))throw new FormatError("FontFile should be a stream");if(p.isEmpty)throw new FormatError("FontFile is empty")}}catch(e){if(!this.options.ignoreErrors)throw e;warn(`translateFont - fetching "${u.name}" font file: "${e}".`);p=null}let x=!1,S=null,k=null;if(p){if(p.dict){const e=p.dict.get("Subtype");e instanceof Name&&(m=e.name);b=p.dict.get(\
+"Length1");y=p.dict.get("Length2");w=p.dict.get("Length3")}}else if(l){const e=getXfaFontName(u.name);if(e){l.fontFamily=`${l.fontFamily}-PdfJS-XFA`;l.metrics=e.metrics||null;S=e.factors||null;p=await this.fetchStandardFontData(e.name);x=!!p;r=a=getXfaFontDict(u.name);i=!0}}else if(!h){const e=getStandardFontName(u.name);if(e){p=await this.fetchStandardFontData(e);x=!!p}!x&&this.options.useSystemFonts&&(k=getFontSubstitution(this.systemFontCache,this.idFactory,this.options.standardFontDataUrl,u.\
+name,e,n))}const C=lookupMatrix(a.getArray("FontMatrix"),t),v=lookupNormalRect(e.getArray("FontBBox")||a.getArray("FontBBox"),h?[0,0,0,0]:void 0);let F=e.get("Ascent");"number"!=typeof F&&(F=void 0);let T=e.get("Descent");"number"!=typeof T&&(T=void 0);let O=e.get("XHeight");"number"!=typeof O&&(O=0);let M=e.get("CapHeight");"number"!=typeof M&&(M=0);let D=e.get("Flags");Number.isInteger(D)||(D=0);let R=e.get("ItalicAngle");"number"!=typeof R&&(R=0);const N={type:n,name:u.name,subtype:m,file:p,l\
+ength1:b,length2:y,length3:w,isInternalFont:x,loadedName:r.loadedName,composite:i,fixedPitch:!1,fontMatrix:C,firstChar:s,lastChar:o,toUnicode:c,bbox:v,ascent:F,descent:T,xHeight:O,capHeight:M,flags:D,italicAngle:R,isType3Font:h,cssFontInfo:l,scaleFactors:S,systemFontInfo:k};if(i){const e=r.get("Encoding");e instanceof Name&&(N.cidEncoding=e.name);const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});N.cMap=t;N.vertical=N.cMap.vertical}const E=aw\
+ait this.extractDataStructures(a,N);this.extractWidths(a,e,E);return new Font(u.name,p,E,this.options)}static buildFontPaths(e,t,a,r){function buildPath(t){const i=`${e.loadedName}_path_${t}`;try{if(e.renderer.hasBuiltPath(t))return;a.send("commonobj",[i,"FontPath",e.renderer.getPathJs(t)])}catch(e){if(r.ignoreErrors){warn(`buildFontPaths - ignoring ${i} glyph: "${e}".`);return}throw e}}for(const e of t){buildPath(e.fontChar);const t=e.accent;t?.fontChar&&buildPath(t.fontChar)}}static get fallba\
+ckFontDict(){const e=new Dict;e.set("BaseFont",Name.get("Helvetica"));e.set("Type",Name.get("FallbackType"));e.set("Subtype",Name.get("FallbackType"));e.set("Encoding",Name.get("WinAnsiEncoding"));return shadow(this,"fallbackFontDict",e)}}class TranslatedFont{#G=!1;#V=null;constructor({loadedName:e,font:t,dict:a}){this.loadedName=e;this.font=t;this.dict=a;this.type3Dependencies=t.isType3Font?new Set:null}send(e){if(!this.#G){this.#G=!0;e.send("commonobj",[this.loadedName,"Font",this.font.exportD\
+ata()])}}fallback(e,t){if(this.font.data){this.font.disableFontFace=!0;PartialEvaluator.buildFontPaths(this.font,this.font.glyphCacheValues,e,t)}}loadType3Data(e,t,a){if(this.#V)return this.#V;const{font:r,type3Dependencies:i}=this;assert(r.isType3Font,"Must be a Type3 font.");const n=e.clone({ignoreErrors:!1}),s=new RefSet(e.type3FontRefs);this.dict.objId&&!s.has(this.dict.objId)&&s.put(this.dict.objId);n.type3FontRefs=s;let o=Promise.resolve();const c=this.dict.get("CharProcs"),l=this.dict.get\
+("Resources")||t,h=Object.create(null),[u,d,f,g]=r.bbox,p=f-u,m=g-d,b=Math.hypot(p,m);for(const e of c.getKeys())o=o.then((()=>{const t=c.get(e),r=new OperatorList;return n.getOperatorList({stream:t,task:a,resources:l,operatorList:r}).then((()=>{switch(r.fnArray[0]){case bt:this.#K(r,b);break;case mt:b||this.#J(r)}h[e]=r.getIR();for(const e of r.dependencies)i.add(e)})).catch((function(t){warn(`Type3 font resource "${e}" is not available.`);const a=new OperatorList;h[e]=a.getIR()}))}));this.#V=o\
+.then((()=>{r.charProcOperatorList=h;if(this._bbox){r.isCharBBox=!0;r.bbox=this._bbox}}));return this.#V}#K(e,t=NaN){const a=Util.normalizeRect(e.argsArray[0].slice(2)),r=a[2]-a[0],i=a[3]-a[1],n=Math.hypot(r,i);if(0===r||0===i){e.fnArray.splice(0,1);e.argsArray.splice(0,1)}else if(0===t||Math.round(n/t)>=10){this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}let s=0,o=e.length;for(;s<o;){switch(e.fnArray[s]){case bt:break;case yt:case wt:case xt:case St:case At:case kt:case C\
+t:case vt:case Ft:case It:case Tt:case Ot:case Mt:case Oe:e.fnArray.splice(s,1);e.argsArray.splice(s,1);o--;continue;case De:const[t]=e.argsArray[s];let a=0,r=t.length;for(;a<r;){const[e]=t[a];switch(e){case"TR":case"TR2":case"HT":case"BG":case"BG2":case"UCR":case"UCR2":t.splice(a,1);r--;continue}a++}}s++}}#J(e){let t=1;const a=e.length;for(;t<a;){if(e.fnArray[t]===aa){const a=e.argsArray[t][2];this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}t++}}}class StateManager{constr\
+uctor(e=new EvalState){this.state=e;this.stateStack=[]}save(){const e=this.state;this.stateStack.push(this.state);this.state=e.clone()}restore(){const e=this.stateStack.pop();e&&(this.state=e)}transform(e){this.state.ctm=Util.transform(this.state.ctm,e)}}class TextState{constructor(){this.ctm=new Float32Array(Fa);this.fontName=null;this.fontSize=0;this.loadedName=null;this.font=null;this.fontMatrix=t;this.textMatrix=Fa.slice();this.textLineMatrix=Fa.slice();this.charSpacing=0;this.wordSpacing=0;\
+this.leading=0;this.textHScale=1;this.textRise=0}setTextMatrix(e,t,a,r,i,n){const s=this.textMatrix;s[0]=e;s[1]=t;s[2]=a;s[3]=r;s[4]=i;s[5]=n}setTextLineMatrix(e,t,a,r,i,n){const s=this.textLineMatrix;s[0]=e;s[1]=t;s[2]=a;s[3]=r;s[4]=i;s[5]=n}translateTextMatrix(e,t){const a=this.textMatrix;a[4]=a[0]*e+a[2]*t+a[4];a[5]=a[1]*e+a[3]*t+a[5]}translateTextLineMatrix(e,t){const a=this.textLineMatrix;a[4]=a[0]*e+a[2]*t+a[4];a[5]=a[1]*e+a[3]*t+a[5]}carriageReturn(){this.translateTextLineMatrix(0,-this.l\
+eading);this.textMatrix=this.textLineMatrix.slice()}clone(){const e=Object.create(this);e.textMatrix=this.textMatrix.slice();e.textLineMatrix=this.textLineMatrix.slice();e.fontMatrix=this.fontMatrix.slice();return e}}class EvalState{constructor(){this.ctm=new Float32Array(Fa);this.font=null;this.textRenderingMode=x;this._fillColorSpace=this._strokeColorSpace=ColorSpaceUtils.gray;this.patternFillColorSpace=null;this.patternStrokeColorSpace=null;this.currentPointX=this.currentPointY=0;this.pathMin\
+Max=new Float32Array([1/0,1/0,-1/0,-1/0]);this.pathBuffer=[]}get fillColorSpace(){return this._fillColorSpace}set fillColorSpace(e){this._fillColorSpace=this.patternFillColorSpace=e}get strokeColorSpace(){return this._strokeColorSpace}set strokeColorSpace(e){this._strokeColorSpace=this.patternStrokeColorSpace=e}clone({newPath:e=!1}={}){const t=Object.create(this);if(e){t.pathBuffer=[];t.pathMinMax=new Float32Array([1/0,1/0,-1/0,-1/0])}return t}}class EvaluatorPreprocessor{static get opMap(){retu\
+rn shadow(this,"opMap",Object.assign(Object.create(null),{w:{id:Ce,numArgs:1,variableArgs:!1},J:{id:ve,numArgs:1,variableArgs:!1},j:{id:Fe,numArgs:1,variableArgs:!1},M:{id:Ie,numArgs:1,variableArgs:!1},d:{id:Te,numArgs:2,variableArgs:!1},ri:{id:Oe,numArgs:1,variableArgs:!1},i:{id:Me,numArgs:1,variableArgs:!1},gs:{id:De,numArgs:1,variableArgs:!1},q:{id:Be,numArgs:0,variableArgs:!1},Q:{id:Re,numArgs:0,variableArgs:!1},cm:{id:Ne,numArgs:6,variableArgs:!1},m:{id:Ee,numArgs:2,variableArgs:!1},l:{id:P\
+e,numArgs:2,variableArgs:!1},c:{id:Le,numArgs:6,variableArgs:!1},v:{id:je,numArgs:4,variableArgs:!1},y:{id:_e,numArgs:4,variableArgs:!1},h:{id:Ue,numArgs:0,variableArgs:!1},re:{id:Xe,numArgs:4,variableArgs:!1},S:{id:qe,numArgs:0,variableArgs:!1},s:{id:He,numArgs:0,variableArgs:!1},f:{id:We,numArgs:0,variableArgs:!1},F:{id:We,numArgs:0,variableArgs:!1},"f*":{id:ze,numArgs:0,variableArgs:!1},B:{id:$e,numArgs:0,variableArgs:!1},"B*":{id:Ge,numArgs:0,variableArgs:!1},b:{id:Ve,numArgs:0,variableArgs:\
+!1},"b*":{id:Ke,numArgs:0,variableArgs:!1},n:{id:Je,numArgs:0,variableArgs:!1},W:{id:Ye,numArgs:0,variableArgs:!1},"W*":{id:Ze,numArgs:0,variableArgs:!1},BT:{id:Qe,numArgs:0,variableArgs:!1},ET:{id:et,numArgs:0,variableArgs:!1},Tc:{id:tt,numArgs:1,variableArgs:!1},Tw:{id:at,numArgs:1,variableArgs:!1},Tz:{id:rt,numArgs:1,variableArgs:!1},TL:{id:it,numArgs:1,variableArgs:!1},Tf:{id:nt,numArgs:2,variableArgs:!1},Tr:{id:st,numArgs:1,variableArgs:!1},Ts:{id:ot,numArgs:1,variableArgs:!1},Td:{id:ct,num\
+Args:2,variableArgs:!1},TD:{id:lt,numArgs:2,variableArgs:!1},Tm:{id:ht,numArgs:6,variableArgs:!1},"T*":{id:ut,numArgs:0,variableArgs:!1},Tj:{id:dt,numArgs:1,variableArgs:!1},TJ:{id:ft,numArgs:1,variableArgs:!1},"\'":{id:gt,numArgs:1,variableArgs:!1},\'"\':{id:pt,numArgs:3,variableArgs:!1},d0:{id:mt,numArgs:2,variableArgs:!1},d1:{id:bt,numArgs:6,variableArgs:!1},CS:{id:yt,numArgs:1,variableArgs:!1},cs:{id:wt,numArgs:1,variableArgs:!1},SC:{id:xt,numArgs:4,variableArgs:!0},SCN:{id:St,numArgs:33,variab\
+leArgs:!0},sc:{id:At,numArgs:4,variableArgs:!0},scn:{id:kt,numArgs:33,variableArgs:!0},G:{id:Ct,numArgs:1,variableArgs:!1},g:{id:vt,numArgs:1,variableArgs:!1},RG:{id:Ft,numArgs:3,variableArgs:!1},rg:{id:It,numArgs:3,variableArgs:!1},K:{id:Tt,numArgs:4,variableArgs:!1},k:{id:Ot,numArgs:4,variableArgs:!1},sh:{id:Mt,numArgs:1,variableArgs:!1},BI:{id:Dt,numArgs:0,variableArgs:!1},ID:{id:Bt,numArgs:0,variableArgs:!1},EI:{id:Rt,numArgs:1,variableArgs:!1},Do:{id:Nt,numArgs:1,variableArgs:!1},MP:{id:Et,\
+numArgs:1,variableArgs:!1},DP:{id:Pt,numArgs:2,variableArgs:!1},BMC:{id:Lt,numArgs:1,variableArgs:!1},BDC:{id:jt,numArgs:2,variableArgs:!1},EMC:{id:_t,numArgs:0,variableArgs:!1},BX:{id:Ut,numArgs:0,variableArgs:!1},EX:{id:Xt,numArgs:0,variableArgs:!1},BM:null,BD:null,true:null,fa:null,fal:null,fals:null,false:null,nu:null,nul:null,null:null}))}static MAX_INVALID_PATH_OPS=10;constructor(e,t,a=new StateManager){this.parser=new Parser({lexer:new Lexer(e,EvaluatorPreprocessor.opMap),xref:t});this.st\
+ateManager=a;this.nonProcessedArgs=[];this._isPathOp=!1;this._numInvalidPathOPS=0}get savedStatesDepth(){return this.stateManager.stateStack.length}read(e){let t=e.args;for(;;){const a=this.parser.getObj();if(a instanceof Cmd){const r=a.cmd,i=EvaluatorPreprocessor.opMap[r];if(!i){warn(`Unknown command "${r}".`);continue}const n=i.id,s=i.numArgs;let o=null!==t?t.length:0;this._isPathOp||(this._numInvalidPathOPS=0);this._isPathOp=n>=Ee&&n<=Je;if(i.variableArgs)o>s&&info(`Command ${r}: expected [0,\
+ ${s}] args, but received ${o} args.`);else{if(o!==s){const e=this.nonProcessedArgs;for(;o>s;){e.push(t.shift());o--}for(;o<s&&0!==e.length;){null===t&&(t=[]);t.unshift(e.pop());o++}}if(o<s){const e=`command ${r}: expected ${s} args, but received ${o} args.`;if(this._isPathOp&&++this._numInvalidPathOPS>EvaluatorPreprocessor.MAX_INVALID_PATH_OPS)throw new FormatError(`Invalid ${e}`);warn(`Skipping ${e}`);null!==t&&(t.length=0);continue}}this.preprocessCommand(n,t);e.fn=n;e.args=t;return!0}if(a===\
+wa)return!1;if(null!==a){null===t&&(t=[]);t.push(a);if(t.length>33)throw new FormatError("Too many arguments")}}}preprocessCommand(e,t){switch(0|e){case Be:this.stateManager.save();break;case Re:this.stateManager.restore();break;case Ne:this.stateManager.transform(t)}}}class DefaultAppearanceEvaluator extends EvaluatorPreprocessor{constructor(e){super(new StringStream(e))}parse(){const e={fn:0,args:[]},t={fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3)};try{for(;;){e.args.length=0;if(!\
+this.read(e))break;if(0!==this.savedStatesDepth)continue;const{fn:a,args:r}=e;switch(0|a){case nt:const[e,a]=r;e instanceof Name&&(t.fontName=e.name);"number"==typeof a&&a>0&&(t.fontSize=a);break;case It:ColorSpaceUtils.rgb.getRgbItem(r,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(r,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(r,0,t.fontColor,0)}}}catch(e){warn(`parseDefaultAppearance - ignoring errors: "${e}".`)}return t}}function parseDefaultAppearance(e){re\
+turn new DefaultAppearanceEvaluator(e).parse()}class AppearanceStreamEvaluator extends EvaluatorPreprocessor{constructor(e,t,a,r){super(e);this.stream=e;this.evaluatorOptions=t;this.xref=a;this.globalColorSpaceCache=r;this.resources=e.dict?.get("Resources")}parse(){const e={fn:0,args:[]};let t={scaleFactor:1,fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3),fillColorSpace:ColorSpaceUtils.gray},a=!1;const r=[];try{for(;;){e.args.length=0;if(a||!this.read(e))break;const{fn:i,args:n}=e;swit\
+ch(0|i){case Be:r.push({scaleFactor:t.scaleFactor,fontSize:t.fontSize,fontName:t.fontName,fontColor:t.fontColor.slice(),fillColorSpace:t.fillColorSpace});break;case Re:t=r.pop()||t;break;case ht:t.scaleFactor*=Math.hypot(n[0],n[1]);break;case nt:const[e,i]=n;e instanceof Name&&(t.fontName=e.name);"number"==typeof i&&i>0&&(t.fontSize=i*t.scaleFactor);break;case wt:t.fillColorSpace=ColorSpaceUtils.parse({cs:n[0],xref:this.xref,resources:this.resources,pdfFunctionFactory:this._pdfFunctionFactory,gl\
+obalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:this._localColorSpaceCache});break;case At:t.fillColorSpace.getRgbItem(n,0,t.fontColor,0);break;case It:ColorSpaceUtils.rgb.getRgbItem(n,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(n,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(n,0,t.fontColor,0);break;case dt:case ft:case gt:case pt:a=!0}}}catch(e){warn(`parseAppearanceStream - ignoring errors: "${e}".`)}this.stream.reset();delete t.scaleFac\
+tor;delete t.fillColorSpace;return t}get _localColorSpaceCache(){return shadow(this,"_localColorSpaceCache",new LocalColorSpaceCache)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.evaluatorOptions.isEvalSupported}))}}function getPdfColor(e,t){if(e[0]===e[1]&&e[1]===e[2]){return`${numberToString(e[0]/255)} ${t?"g":"G"}`}return Array.from(e,(e=>numberToString(e/255))).join(" ")+" "+(t?"rg":"RG")}class FakeUnicodeFont{\
+constructor(e,t){this.xref=e;this.widths=null;this.firstChar=1/0;this.lastChar=-1/0;this.fontFamily=t;const a=new OffscreenCanvas(1,1);this.ctxMeasure=a.getContext("2d",{willReadFrequently:!0});FakeUnicodeFont._fontNameId||(FakeUnicodeFont._fontNameId=1);this.fontName=Name.get(`InvalidPDFjsFont_${t}_${FakeUnicodeFont._fontNameId++}`)}get fontDescriptorRef(){if(!FakeUnicodeFont._fontDescriptorRef){const e=new Dict(this.xref);e.setIfName("Type","FontDescriptor");e.set("FontName",this.fontName);e.s\
+et("FontFamily","MyriadPro Regular");e.set("FontBBox",[0,0,0,0]);e.setIfName("FontStretch","Normal");e.set("FontWeight",400);e.set("ItalicAngle",0);FakeUnicodeFont._fontDescriptorRef=this.xref.getNewPersistentRef(e)}return FakeUnicodeFont._fontDescriptorRef}get descendantFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","CIDFontType0");e.setIfName("CIDToGIDMap","Identity");e.set("FirstChar",this.firstChar);e.set("LastChar",this\
+.lastChar);e.set("FontDescriptor",this.fontDescriptorRef);e.set("DW",1e3);const t=[],a=[...this.widths.entries()].sort();let r=null,i=null;for(const[e,n]of a)if(r)if(e===r+i.length)i.push(n);else{t.push(r,i);r=e;i=[n]}else{r=e;i=[n]}r&&t.push(r,i);e.set("W",t);const n=new Dict(this.xref);n.set("Ordering","Identity");n.set("Registry","Adobe");n.set("Supplement",0);e.set("CIDSystemInfo",n);return this.xref.getNewPersistentRef(e)}get baseFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.f\
+ontName);e.setIfName("Type","Font");e.setIfName("Subtype","Type0");e.setIfName("Encoding","Identity-H");e.set("DescendantFonts",[this.descendantFontRef]);e.setIfName("ToUnicode","Identity-H");return this.xref.getNewPersistentRef(e)}get resources(){const e=new Dict(this.xref),t=new Dict(this.xref);t.set(this.fontName.name,this.baseFontRef);e.set("Font",t);return e}_createContext(){this.widths=new Map;this.ctxMeasure.font=`1000px ${this.fontFamily}`;return this.ctxMeasure}createFontResources(e){co\
+nst t=this._createContext();for(const a of e.split(/\\r\\n?|\\n/))for(const e of a.split("")){const a=e.charCodeAt(0);if(this.widths.has(a))continue;const r=t.measureText(e),i=Math.ceil(r.width);this.widths.set(a,i);this.firstChar=Math.min(a,this.firstChar);this.lastChar=Math.max(a,this.lastChar)}return this.resources}static getFirstPositionInfo(e,t,i){const[n,s,o,c]=e;let l=o-n,h=c-s;t%180!=0&&([l,h]=[h,l]);const u=a*i;return{coords:[0,h+r*i-u],bbox:[0,0,l,h],matrix:0!==t?getRotationMatrix(t,h,u):\
+void 0}}createAppearance(e,t,i,n,s,o){const c=this._createContext(),l=[];let h=-1/0;for(const t of e.split(/\\r\\n?|\\n/)){l.push(t);const e=c.measureText(t).width;h=Math.max(h,e);for(const e of codePointIter(t)){const t=String.fromCodePoint(e);let a=this.widths.get(e);if(void 0===a){const r=c.measureText(t);a=Math.ceil(r.width);this.widths.set(e,a);this.firstChar=Math.min(e,this.firstChar);this.lastChar=Math.max(e,this.lastChar)}}}h*=n/1e3;const[u,d,f,g]=t;let p=f-u,m=g-d;i%180!=0&&([p,m]=[m,p]);l\
+et b=1;h>p&&(b=p/h);let y=1;const w=a*n,x=r*n,S=w*l.length;S>m&&(y=m/S);const k=n*Math.min(b,y),C=["q",`0 0 ${numberToString(p)} ${numberToString(m)} re W n`,"BT",`1 0 0 1 0 ${numberToString(m+x)} Tm 0 Tc ${getPdfColor(s,!0)}`,`/${this.fontName.name} ${numberToString(k)} Tf`],{resources:v}=this;if(1!==(o="number"==typeof o&&o>=0&&o<=1?o:1)){C.push("/R0 gs");const e=new Dict(this.xref),t=new Dict(this.xref);t.set("ca",o);t.set("CA",o);t.setIfName("Type","ExtGState");e.set("R0",t);v.set("ExtGState\
+",e)}const F=numberToString(w);for(const e of l)C.push(`0 -${F} Td <${stringToUTF16HexString(e)}> Tj`);C.push("ET","Q");const T=C.join("\\n"),O=new Dict(this.xref);O.setIfName("Subtype","Form");O.setIfName("Type","XObject");O.set("BBox",[0,0,p,m]);O.set("Length",T.length);O.set("Resources",v);if(i){const e=getRotationMatrix(i,p,m);O.set("Matrix",e)}const M=new StringStream(T);M.dict=O;return M}}const Pn=["m/d","m/d/yy","mm/dd/yy","mm/yy","d-mmm","d-mmm-yy","dd-mmm-yy","yy-mm-dd","mmm-yy","mmmm-yy\
+","mmm d, yyyy","mmmm d, yyyy","m/d/yy h:MM tt","m/d/yy HH:MM"],Ln=["HH:MM","h:MM tt","HH:MM:ss","h:MM:ss tt"];class NameOrNumberTree{constructor(e,t,a){this.root=e;this.xref=t;this._type=a}getAll(){const e=new Map;if(!this.root)return e;const t=this.xref,a=new RefSet;a.put(this.root);const r=[this.root];for(;r.length>0;){const i=t.fetchIfRef(r.shift());if(!(i instanceof Dict))continue;if(i.has("Kids")){const e=i.get("Kids");if(!Array.isArray(e))continue;for(const t of e){if(a.has(t))throw new F\
+ormatError(`Duplicate entry in "${this._type}" tree.`);r.push(t);a.put(t)}continue}const n=i.get(this._type);if(Array.isArray(n))for(let a=0,r=n.length;a<r;a+=2)e.set(t.fetchIfRef(n[a]),t.fetchIfRef(n[a+1]))}return e}getRaw(e){if(!this.root)return null;const t=this.xref;let a=t.fetchIfRef(this.root),r=0;for(;a.has("Kids");){if(++r>10){warn(`Search depth limit reached for "${this._type}" tree.`);return null}const i=a.get("Kids");if(!Array.isArray(i))return null;let n=0,s=i.length-1;for(;n<=s;){co\
+nst r=n+s>>1,o=t.fetchIfRef(i[r]),c=o.get("Limits");if(e<t.fetchIfRef(c[0]))s=r-1;else{if(!(e>t.fetchIfRef(c[1]))){a=o;break}n=r+1}}if(n>s)return null}const i=a.get(this._type);if(Array.isArray(i)){let a=0,r=i.length-2;for(;a<=r;){const n=a+r>>1,s=n+(1&n),o=t.fetchIfRef(i[s]);if(e<o)r=s-2;else{if(!(e>o))return i[s+1];a=s+2}}}return null}get(e){return this.xref.fetchIfRef(this.getRaw(e))}}class NameTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Names")}}class NumberTree extends NameOrN\
+umberTree{constructor(e,t){super(e,t,"Nums")}}function clearGlobalCaches(){!function clearPatternCaches(){Ii=Object.create(null)}();!function clearPrimitiveCaches(){xa=Object.create(null);Sa=Object.create(null);Aa=Object.create(null)}();!function clearUnicodeCaches(){Dr.clear()}();JpxImage.cleanup()}function pickPlatformItem(e){return e instanceof Dict?e.has("UF")?e.get("UF"):e.has("F")?e.get("F"):e.has("Unix")?e.get("Unix"):e.has("Mac")?e.get("Mac"):e.has("DOS")?e.get("DOS"):null:null}class Fil\
+eSpec{#Y=!1;constructor(e,t,a=!1){if(e instanceof Dict){this.xref=t;this.root=e;e.has("FS")&&(this.fs=e.get("FS"));e.has("RF")&&warn("Related file specifications are not supported");a||(e.has("EF")?this.#Y=!0:warn("Non-embedded file specifications are not supported"))}}get filename(){let e="";const t=pickPlatformItem(this.root);t&&"string"==typeof t&&(e=stringToPDFString(t,!0).replaceAll("\\\\\\\\","\\\\").replaceAll("\\\\/","/").replaceAll("\\\\","/"));return shadow(this,"filename",e||"unnamed")}get cont\
+ent(){if(!this.#Y)return null;this._contentRef||=pickPlatformItem(this.root?.get("EF"));let e=null;if(this._contentRef){const t=this.xref.fetchIfRef(this._contentRef);t instanceof BaseStream?e=t.getBytes():warn("Embedded file specification points to non-existing/invalid content")}else warn("Embedded file specification does not have any content");return e}get description(){let e="";const t=this.root?.get("Desc");t&&"string"==typeof t&&(e=stringToPDFString(t));return shadow(this,"description",e)}g\
+et serializable(){return{rawFilename:this.filename,filename:(e=this.filename,e.substring(e.lastIndexOf("/")+1)),content:this.content,description:this.description};var e}}const jn=0,_n=-2,Un=-3,Xn=-4,qn=-5,Hn=-6,Wn=-9;function isWhitespace(e,t){const a=e[t];return" "===a||"\\n"===a||"\\r"===a||"\\t"===a}class XMLParserBase{_resolveEntities(e){return e.replaceAll(/&([^;]+);/g,((e,t)=>{if("#x"===t.substring(0,2))return String.fromCodePoint(parseInt(t.substring(2),16));if("#"===t.substring(0,1))return \
+String.fromCodePoint(parseInt(t.substring(1),10));switch(t){case"lt":return"<";case"gt":return">";case"amp":return"&";case"quot":return\'"\';case"apos":return"\'"}return this.onResolveEntity(t)}))}_parseContent(e,t){const a=[];let r=t;function skipWs(){for(;r<e.length&&isWhitespace(e,r);)++r}for(;r<e.length&&!isWhitespace(e,r)&&">"!==e[r]&&"/"!==e[r];)++r;const i=e.substring(t,r);skipWs();for(;r<e.length&&">"!==e[r]&&"/"!==e[r]&&"?"!==e[r];){skipWs();let t="",i="";for(;r<e.length&&!isWhitespace(e,r\
+)&&"="!==e[r];){t+=e[r];++r}skipWs();if("="!==e[r])return null;++r;skipWs();const n=e[r];if(\'"\'!==n&&"\'"!==n)return null;const s=e.indexOf(n,++r);if(s<0)return null;i=e.substring(r,s);a.push({name:t,value:this._resolveEntities(i)});r=s+1;skipWs()}return{name:i,attributes:a,parsed:r-t}}_parseProcessingInstruction(e,t){let a=t;for(;a<e.length&&!isWhitespace(e,a)&&">"!==e[a]&&"?"!==e[a]&&"/"!==e[a];)++a;const r=e.substring(t,a);!function skipWs(){for(;a<e.length&&isWhitespace(e,a);)++a}();const i=a\
+;for(;a<e.length&&("?"!==e[a]||">"!==e[a+1]);)++a;return{name:r,value:e.substring(i,a),parsed:a-t}}parseXml(e){let t=0;for(;t<e.length;){let a=t;if("<"===e[t]){++a;let t;switch(e[a]){case"/":++a;t=e.indexOf(">",a);if(t<0){this.onError(Wn);return}this.onEndElement(e.substring(a,t));a=t+1;break;case"?":++a;const r=this._parseProcessingInstruction(e,a);if("?>"!==e.substring(a+r.parsed,a+r.parsed+2)){this.onError(Un);return}this.onPi(r.name,r.value);a+=r.parsed+2;break;case"!":if("--"===e.substring(\
+a+1,a+3)){t=e.indexOf("--\\x3e",a+3);if(t<0){this.onError(qn);return}this.onComment(e.substring(a+3,t));a=t+3}else if("[CDATA["===e.substring(a+1,a+8)){t=e.indexOf("]]>",a+8);if(t<0){this.onError(_n);return}this.onCdata(e.substring(a+8,t));a=t+3}else{if("DOCTYPE"!==e.substring(a+1,a+8)){this.onError(Hn);return}{const r=e.indexOf("[",a+8);let i=!1;t=e.indexOf(">",a+8);if(t<0){this.onError(Xn);return}if(r>0&&t>r){t=e.indexOf("]>",a+8);if(t<0){this.onError(Xn);return}i=!0}const n=e.substring(a+8,t+(\
+i?1:0));this.onDoctype(n);a=t+(i?2:1)}}break;default:const i=this._parseContent(e,a);if(null===i){this.onError(Hn);return}let n=!1;if("/>"===e.substring(a+i.parsed,a+i.parsed+2))n=!0;else if(">"!==e.substring(a+i.parsed,a+i.parsed+1)){this.onError(Wn);return}this.onBeginElement(i.name,i.attributes,n);a+=i.parsed+(n?2:1)}}else{for(;a<e.length&&"<"!==e[a];)a++;const r=e.substring(t,a);this.onText(this._resolveEntities(r))}t=a}}onResolveEntity(e){return`&${e};`}onPi(e,t){}onComment(e){}onCdata(e){}\
+onDoctype(e){}onText(e){}onBeginElement(e,t,a){}onEndElement(e){}onError(e){}}class SimpleDOMNode{constructor(e,t){this.nodeName=e;this.nodeValue=t;Object.defineProperty(this,"parentNode",{value:null,writable:!0})}get firstChild(){return this.childNodes?.[0]}get nextSibling(){const e=this.parentNode.childNodes;if(!e)return;const t=e.indexOf(this);return-1!==t?e[t+1]:void 0}get textContent(){return this.childNodes?this.childNodes.map((e=>e.textContent)).join(""):this.nodeValue||""}get children(){\
+return this.childNodes||[]}hasChildNodes(){return this.childNodes?.length>0}searchNode(e,t){if(t>=e.length)return this;const a=e[t];if(a.name.startsWith("#")&&t<e.length-1)return this.searchNode(e,t+1);const r=[];let i=this;for(;;){if(a.name===i.nodeName){if(0!==a.pos){if(0===r.length)return null;{const[n]=r.pop();let s=0;for(const r of n.childNodes)if(a.name===r.nodeName){if(s===a.pos)return r.searchNode(e,t+1);s++}return i.searchNode(e,t+1)}}{const a=i.searchNode(e,t+1);if(null!==a)return a}}i\
+f(i.childNodes?.length>0){r.push([i,0]);i=i.childNodes[0]}else{if(0===r.length)return null;for(;0!==r.length;){const[e,t]=r.pop(),a=t+1;if(a<e.childNodes.length){r.push([e,a]);i=e.childNodes[a];break}}if(0===r.length)return null}}}dump(e){if("#text"!==this.nodeName){e.push(`<${this.nodeName}`);if(this.attributes)for(const t of this.attributes)e.push(` ${t.name}="${encodeToXmlString(t.value)}"`);if(this.hasChildNodes()){e.push(">");for(const t of this.childNodes)t.dump(e);e.push(`</${this.nodeNam\
+e}>`)}else this.nodeValue?e.push(`>${encodeToXmlString(this.nodeValue)}</${this.nodeName}>`):e.push("/>")}else e.push(encodeToXmlString(this.nodeValue))}}class SimpleXMLParser extends XMLParserBase{constructor({hasAttributes:e=!1,lowerCaseName:t=!1}){super();this._currentFragment=null;this._stack=null;this._errorCode=jn;this._hasAttributes=e;this._lowerCaseName=t}parseFromString(e){this._currentFragment=[];this._stack=[];this._errorCode=jn;this.parseXml(e);if(this._errorCode!==jn)return;const[t]\
+=this._currentFragment;return t?{documentElement:t}:void 0}onText(e){if(function isWhitespaceString(e){for(let t=0,a=e.length;t<a;t++)if(!isWhitespace(e,t))return!1;return!0}(e))return;const t=new SimpleDOMNode("#text",e);this._currentFragment.push(t)}onCdata(e){const t=new SimpleDOMNode("#text",e);this._currentFragment.push(t)}onBeginElement(e,t,a){this._lowerCaseName&&(e=e.toLowerCase());const r=new SimpleDOMNode(e);r.childNodes=[];this._hasAttributes&&(r.attributes=t);this._currentFragment.pu\
+sh(r);if(!a){this._stack.push(this._currentFragment);this._currentFragment=r.childNodes}}onEndElement(e){this._currentFragment=this._stack.pop()||[];const t=this._currentFragment.at(-1);if(!t)return null;for(const e of t.childNodes)e.parentNode=t;return t}onError(e){this._errorCode=e}}class MetadataParser{constructor(e){e=this._repair(e);const t=new SimpleXMLParser({lowerCaseName:!0}).parseFromString(e);this._metadataMap=new Map;this._data=e;t&&this._parse(t)}_repair(e){return e.replace(/^[^<]+/\
+,"").replaceAll(/>\\\\376\\\\377([^<]+)/g,(function(e,t){const a=t.replaceAll(/\\\\([0-3])([0-7])([0-7])/g,(function(e,t,a,r){return String.fromCharCode(64*t+8*a+1*r)})).replaceAll(/&(amp|apos|gt|lt|quot);/g,(function(e,t){switch(t){case"amp":return"&";case"apos":return"\'";case"gt":return">";case"lt":return"<";case"quot":return\'"\'}throw new Error(`_repair: ${t} isn\'t defined.`)})),r=[">"];for(let e=0,t=a.length;e<t;e+=2){const t=256*a.charCodeAt(e)+a.charCodeAt(e+1);t>=32&&t<127&&60!==t&&62!==t&&38!==\
+t?r.push(String.fromCharCode(t)):r.push("&#x"+(65536+t).toString(16).substring(1)+";")}return r.join("")}))}_getSequence(e){const t=e.nodeName;return"rdf:bag"!==t&&"rdf:seq"!==t&&"rdf:alt"!==t?null:e.childNodes.filter((e=>"rdf:li"===e.nodeName))}_parseArray(e){if(!e.hasChildNodes())return;const[t]=e.childNodes,a=this._getSequence(t)||[];this._metadataMap.set(e.nodeName,a.map((e=>e.textContent.trim())))}_parse(e){let t=e.documentElement;if("rdf:rdf"!==t.nodeName){t=t.firstChild;for(;t&&"rdf:rdf"!\
+==t.nodeName;)t=t.nextSibling}if(t&&"rdf:rdf"===t.nodeName&&t.hasChildNodes())for(const e of t.childNodes)if("rdf:description"===e.nodeName)for(const t of e.childNodes){const e=t.nodeName;switch(e){case"#text":continue;case"dc:creator":case"dc:subject":this._parseArray(t);continue}this._metadataMap.set(e,t.textContent.trim())}}get serializable(){return{parsedData:this._metadataMap,rawData:this._data}}}const zn=1,$n=2,Gn=3,Vn=4,Kn=5;class StructTreeRoot{constructor(e,t,a){this.xref=e;this.dict=t;\
+this.ref=a instanceof Ref?a:null;this.roleMap=new Map;this.structParentIds=null}init(){this.readRoleMap()}#Z(e,t,a){if(!(e instanceof Ref)||t<0)return;this.structParentIds||=new RefSetCache;let r=this.structParentIds.get(e);if(!r){r=[];this.structParentIds.put(e,r)}r.push([t,a])}addAnnotationIdToPage(e,t){this.#Z(e,t,Vn)}readRoleMap(){const e=this.dict.get("RoleMap");if(e instanceof Dict)for(const[t,a]of e)a instanceof Name&&this.roleMap.set(t,a.name)}static async canCreateStructureTree({catalog\
+Ref:e,pdfManager:t,newAnnotationsByPage:a}){if(!(e instanceof Ref)){warn("Cannot save the struct tree: no catalog reference.");return!1}let r=0,i=!0;for(const[e,n]of a){const{ref:a}=await t.getPage(e);if(!(a instanceof Ref)){warn(`Cannot save the struct tree: page ${e} has no ref.`);i=!0;break}for(const e of n)if(e.accessibilityData?.type){e.parentTreeId=r++;i=!1}}if(i){for(const e of a.values())for(const t of e)delete t.parentTreeId;return!1}return!0}static async createStructureTree({newAnnotat\
+ionsByPage:e,xref:t,catalogRef:a,pdfManager:r,changes:i}){const n=await r.ensureCatalog("cloneDict"),s=new RefSetCache;s.put(a,n);const o=t.getNewTemporaryRef();n.set("StructTreeRoot",o);const c=new Dict(t);c.set("Type",Name.get("StructTreeRoot"));const l=t.getNewTemporaryRef();c.set("ParentTree",l);const h=[];c.set("K",h);s.put(o,c);const u=new Dict(t),d=[];u.set("Nums",d);const f=await this.#Q({newAnnotationsByPage:e,structTreeRootRef:o,structTreeRoot:null,kids:h,nums:d,xref:t,pdfManager:r,cha\
+nges:i,cache:s});c.set("ParentTreeNextKey",f);s.put(l,u);for(const[e,t]of s.items())i.put(e,{data:t})}async canUpdateStructTree({pdfManager:e,newAnnotationsByPage:t}){if(!this.ref){warn("Cannot update the struct tree: no root reference.");return!1}let a=this.dict.get("ParentTreeNextKey");if(!Number.isInteger(a)||a<0){warn("Cannot update the struct tree: invalid next key.");return!1}const r=this.dict.get("ParentTree");if(!(r instanceof Dict)){warn("Cannot update the struct tree: ParentTree isn\'t \
+a dict.");return!1}const i=r.get("Nums");if(!Array.isArray(i)){warn("Cannot update the struct tree: nums isn\'t an array.");return!1}const n=new NumberTree(r,this.xref);for(const a of t.keys()){const{pageDict:t}=await e.getPage(a);if(!t.has("StructParents"))continue;const r=t.get("StructParents");if(!Number.isInteger(r)||!Array.isArray(n.get(r))){warn(`Cannot save the struct tree: page ${a} has a wrong id.`);return!1}}let s=!0;for(const[r,i]of t){const{pageDict:t}=await e.getPage(r);StructTreeRoo\
+t.#ee({elements:i,xref:this.xref,pageDict:t,numberTree:n});for(const e of i)if(e.accessibilityData?.type){e.accessibilityData.structParent>=0||(e.parentTreeId=a++);s=!1}}if(s){for(const e of t.values())for(const t of e){delete t.parentTreeId;delete t.structTreeParent}return!1}return!0}async updateStructureTree({newAnnotationsByPage:e,pdfManager:t,changes:a}){const{ref:r,xref:i}=this,n=this.dict.clone(),s=new RefSetCache;s.put(r,n);let o,c=n.getRaw("ParentTree");if(c instanceof Ref)o=i.fetch(c);e\
+lse{o=c;c=i.getNewTemporaryRef();n.set("ParentTree",c)}o=o.clone();s.put(c,o);let l=o.getRaw("Nums"),h=null;if(l instanceof Ref){h=l;l=i.fetch(h)}l=l.slice();h||o.set("Nums",l);const u=await StructTreeRoot.#Q({newAnnotationsByPage:e,structTreeRootRef:r,structTreeRoot:this,kids:null,nums:l,xref:i,pdfManager:t,changes:a,cache:s});if(-1!==u){n.set("ParentTreeNextKey",u);h&&s.put(h,l);for(const[e,t]of s.items())a.put(e,{data:t})}}static async#Q({newAnnotationsByPage:e,structTreeRootRef:t,structTreeR\
+oot:a,kids:r,nums:i,xref:n,pdfManager:s,changes:o,cache:c}){const l=Name.get("OBJR");let h,u=-1;for(const[d,f]of e){const e=await s.getPage(d),{ref:g}=e,p=g instanceof Ref;for(const{accessibilityData:s,ref:m,parentTreeId:b,structTreeParent:y}of f){if(!s?.type)continue;const{structParent:f}=s;if(a&&Number.isInteger(f)&&f>=0){let t=(h||=new Map).get(d);if(void 0===t){t=new StructTreePage(a,e.pageDict).collectObjects(g);h.set(d,t)}const r=t?.get(f);if(r){const e=n.fetch(r).clone();StructTreeRoot.#t\
+e(e,s);o.put(r,{data:e});continue}}u=Math.max(u,b);const w=n.getNewTemporaryRef(),x=new Dict(n);StructTreeRoot.#te(x,s);await this.#ae({structTreeParent:y,tagDict:x,newTagRef:w,structTreeRootRef:t,fallbackKids:r,xref:n,cache:c});const S=new Dict(n);x.set("K",S);S.set("Type",l);p&&S.set("Pg",g);S.set("Obj",m);c.put(w,x);i.push(b,w)}}return u+1}static#te(e,{type:t,title:a,lang:r,alt:i,expanded:n,actualText:s}){e.set("S",Name.get(t));a&&e.set("T",stringToAsciiOrUTF16BE(a));r&&e.set("Lang",stringToA\
+sciiOrUTF16BE(r));i&&e.set("Alt",stringToAsciiOrUTF16BE(i));n&&e.set("E",stringToAsciiOrUTF16BE(n));s&&e.set("ActualText",stringToAsciiOrUTF16BE(s))}static#ee({elements:e,xref:t,pageDict:a,numberTree:r}){const i=new Map;for(const t of e)if(t.structTreeParentId){const e=parseInt(t.structTreeParentId.split("_mc")[1],10);let a=i.get(e);if(!a){a=[];i.set(e,a)}a.push(t)}const n=a.get("StructParents");if(!Number.isInteger(n))return;const s=r.get(n),updateElement=(e,a,r)=>{const n=i.get(e);if(n){const \
+e=a.getRaw("P"),i=t.fetchIfRef(e);if(e instanceof Ref&&i instanceof Dict){const e={ref:r,dict:a};for(const t of n)t.structTreeParent=e}return!0}return!1};for(const e of s){if(!(e instanceof Ref))continue;const a=t.fetch(e),r=a.get("K");if(Number.isInteger(r))updateElement(r,a,e);else if(Array.isArray(r))for(let i of r){i=t.fetchIfRef(i);if(Number.isInteger(i)&&updateElement(i,a,e))break;if(!(i instanceof Dict))continue;if(!isName(i.get("Type"),"MCR"))break;const r=i.get("MCID");if(Number.isInteg\
+er(r)&&updateElement(r,a,e))break}}}static async#ae({structTreeParent:e,tagDict:t,newTagRef:a,structTreeRootRef:r,fallbackKids:i,xref:n,cache:s}){let o,c=null;if(e){({ref:c}=e);o=e.dict.getRaw("P")||r}else o=r;t.set("P",o);const l=n.fetchIfRef(o);if(!l){i.push(a);return}let h=s.get(o);if(!h){h=l.clone();s.put(o,h)}const u=h.getRaw("K");let d=u instanceof Ref?s.get(u):null;if(!d){d=n.fetchIfRef(u);d=Array.isArray(d)?d.slice():[u];const e=n.getNewTemporaryRef();h.set("K",e);s.put(e,d)}const f=d.in\
+dexOf(c);d.splice(f>=0?f+1:d.length,0,a)}}class StructElementNode{constructor(e,t){this.tree=e;this.xref=e.xref;this.dict=t;this.kids=[];this.parseKids()}get role(){const e=this.dict.get("S"),t=e instanceof Name?e.name:"",{root:a}=this.tree;return a.roleMap.get(t)??t}parseKids(){let e=null;const t=this.dict.getRaw("Pg");t instanceof Ref&&(e=t.toString());const a=this.dict.get("K");if(Array.isArray(a))for(const t of a){const a=this.parseKid(e,this.xref.fetchIfRef(t));a&&this.kids.push(a)}else{con\
+st t=this.parseKid(e,a);t&&this.kids.push(t)}}parseKid(e,t){if(Number.isInteger(t))return this.tree.pageDict.objId!==e?null:new StructElement({type:zn,mcid:t,pageObjId:e});if(!(t instanceof Dict))return null;const a=t.getRaw("Pg");a instanceof Ref&&(e=a.toString());const r=t.get("Type")instanceof Name?t.get("Type").name:null;if("MCR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Stm");return new StructElement({type:$n,refObjId:a instanceof Ref?a.toString():null,pageObjId:e,m\
+cid:t.get("MCID")})}if("OBJR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Obj");return new StructElement({type:Gn,refObjId:a instanceof Ref?a.toString():null,pageObjId:e})}return new StructElement({type:Kn,dict:t})}}class StructElement{constructor({type:e,dict:t=null,mcid:a=null,pageObjId:r=null,refObjId:i=null}){this.type=e;this.dict=t;this.mcid=a;this.pageObjId=r;this.refObjId=i;this.parentNode=null}}class StructTreePage{constructor(e,t){this.root=e;this.xref=e?.xref??nu\
+ll;this.rootDict=e?.dict??null;this.pageDict=t;this.nodes=[]}collectObjects(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return null;const t=this.rootDict.get("ParentTree");if(!t)return null;const a=this.root.structParentIds?.get(e);if(!a)return null;const r=new Map,i=new NumberTree(t,this.xref);for(const[e]of a){const t=i.getRaw(e);t instanceof Ref&&r.set(e,t)}return r}parse(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return;const t=this.rootDict.get("ParentTree");if(!t)return;co\
+nst a=this.pageDict.get("StructParents"),r=this.root.structParentIds?.get(e);if(!Number.isInteger(a)&&!r)return;const i=new Map,n=new NumberTree(t,this.xref);if(Number.isInteger(a)){const e=n.get(a);if(Array.isArray(e))for(const t of e)t instanceof Ref&&this.addNode(this.xref.fetch(t),i)}if(r)for(const[e,t]of r){const a=n.get(e);if(a){const e=this.addNode(this.xref.fetchIfRef(a),i);1===e?.kids?.length&&e.kids[0].type===Gn&&(e.kids[0].type=t)}}}addNode(e,t,a=0){if(a>40){warn("StructTree MAX_DEPTH\
+ reached.");return null}if(!(e instanceof Dict))return null;if(t.has(e))return t.get(e);const r=new StructElementNode(this,e);t.set(e,r);const i=e.get("P");if(!(i instanceof Dict)||isName(i.get("Type"),"StructTreeRoot")){this.addTopLevelNode(e,r)||t.delete(e);return r}const n=this.addNode(i,t,a+1);if(!n)return r;let s=!1;for(const t of n.kids)if(t.type===Kn&&t.dict===e){t.parentNode=r;s=!0}s||t.delete(e);return r}addTopLevelNode(e,t){const a=this.rootDict.get("K");if(!a)return!1;if(a instanceof \
+Dict){if(a.objId!==e.objId)return!1;this.nodes[0]=t;return!0}if(!Array.isArray(a))return!0;let r=!1;for(let i=0;i<a.length;i++){const n=a[i];if(n?.toString()===e.objId){this.nodes[i]=t;r=!0}}return r}get serializable(){function nodeToSerializable(e,t,a=0){if(a>40){warn("StructTree too deep to be fully serialized.");return}const r=Object.create(null);r.role=e.role;r.children=[];t.children.push(r);let i=e.dict.get("Alt");"string"!=typeof i&&(i=e.dict.get("ActualText"));"string"==typeof i&&(r.alt=s\
+tringToPDFString(i));const n=e.dict.get("A");if(n instanceof Dict){const e=lookupNormalRect(n.getArray("BBox"),null);if(e)r.bbox=e;else{const e=n.get("Width"),t=n.get("Height");"number"==typeof e&&e>0&&"number"==typeof t&&t>0&&(r.bbox=[0,0,e,t])}}const s=e.dict.get("Lang");"string"==typeof s&&(r.lang=stringToPDFString(s));for(const t of e.kids){const e=t.type===Kn?t.parentNode:null;e?nodeToSerializable(e,r,a+1):t.type===zn||t.type===$n?r.children.push({type:"content",id:`p${t.pageObjId}_mc${t.mc\
+id}`}):t.type===Gn?r.children.push({type:"object",id:t.refObjId}):t.type===Vn&&r.children.push({type:"annotation",id:`pdfjs_internal_id_${t.refObjId}`})}}const e=Object.create(null);e.children=[];e.role="Root";for(const t of this.nodes)t&&nodeToSerializable(t,e);return e}}const Jn=function _isValidExplicitDest(e,t,a){if(!Array.isArray(a)||a.length<2)return!1;const[r,i,...n]=a;if(!e(r)&&!Number.isInteger(r))return!1;if(!t(i))return!1;const s=n.length;let o=!0;switch(i.name){case"XYZ":if(s<2||s>3)\
+return!1;break;case"Fit":case"FitB":return 0===s;case"FitH":case"FitBH":case"FitV":case"FitBV":if(s>1)return!1;break;case"FitR":if(4!==s)return!1;o=!1;break;default:return!1}for(const e of n)if(!("number"==typeof e||o&&null===e))return!1;return!0}.bind(null,(e=>e instanceof Ref),isName);function fetchDest(e){e instanceof Dict&&(e=e.get("D"));return Jn(e)?e:null}function fetchRemoteDest(e){let t=e.get("D");if(t){t instanceof Name&&(t=t.name);if("string"==typeof t)return stringToPDFString(t,!0);if\
+(Jn(t))return JSON.stringify(t)}return null}class Catalog{#re=null;#ie=null;builtInCMapCache=new Map;fontCache=new RefSetCache;globalColorSpaceCache=new GlobalColorSpaceCache;globalImageCache=new GlobalImageCache;nonBlendModesSet=new RefSet;pageDictCache=new RefSetCache;pageIndexCache=new RefSetCache;pageKidsCountCache=new RefSetCache;standardFontDataCache=new Map;systemFontCache=new Map;constructor(e,t){this.pdfManager=e;this.xref=t;this.#ie=t.getCatalogObj();if(!(this.#ie instanceof Dict))thro\
+w new FormatError("Catalog object is not a dictionary.");this.toplevelPagesDict}cloneDict(){return this.#ie.clone()}get version(){const e=this.#ie.get("Version");if(e instanceof Name){if(Ca.test(e.name))return shadow(this,"version",e.name);warn(`Invalid PDF catalog version: ${e.name}`)}return shadow(this,"version",null)}get lang(){const e=this.#ie.get("Lang");return shadow(this,"lang",e&&"string"==typeof e?stringToPDFString(e):null)}get needsRendering(){const e=this.#ie.get("NeedsRendering");ret\
+urn shadow(this,"needsRendering","boolean"==typeof e&&e)}get collection(){let e=null;try{const t=this.#ie.get("Collection");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch Collection entry; assuming no collection is present.")}return shadow(this,"collection",e)}get acroForm(){let e=null;try{const t=this.#ie.get("AcroForm");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch AcroFor\
+m entry; assuming no forms are present.")}return shadow(this,"acroForm",e)}get acroFormRef(){const e=this.#ie.getRaw("AcroForm");return shadow(this,"acroFormRef",e instanceof Ref?e:null)}get metadata(){const e=this.#ie.getRaw("Metadata");if(!(e instanceof Ref))return shadow(this,"metadata",null);let t=null;try{const a=this.xref.fetch(e,!this.xref.encrypt?.encryptMetadata);if(a instanceof BaseStream&&a.dict instanceof Dict){const e=a.dict.get("Type"),r=a.dict.get("Subtype");if(isName(e,"Metadata"\
+)&&isName(r,"XML")){const e=stringToUTF8String(a.getString());e&&(t=new MetadataParser(e).serializable)}}}catch(e){if(e instanceof MissingDataException)throw e;info(`Skipping invalid Metadata: "${e}".`)}return shadow(this,"metadata",t)}get markInfo(){let e=null;try{e=this.#ne()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read mark info.")}return shadow(this,"markInfo",e)}#ne(){const e=this.#ie.get("MarkInfo");if(!(e instanceof Dict))return null;const t={Marked:!1,UserPr\
+operties:!1,Suspects:!1};for(const a in t){const r=e.get(a);"boolean"==typeof r&&(t[a]=r)}return t}get structTreeRoot(){let e=null;try{e=this.#se()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable read to structTreeRoot info.")}return shadow(this,"structTreeRoot",e)}#se(){const e=this.#ie.getRaw("StructTreeRoot"),t=this.xref.fetchIfRef(e);if(!(t instanceof Dict))return null;const a=new StructTreeRoot(this.xref,t,e);a.init();return a}get toplevelPagesDict(){const e=this.#ie.get(\
+"Pages");if(!(e instanceof Dict))throw new FormatError("Invalid top-level pages dictionary.");return shadow(this,"toplevelPagesDict",e)}get documentOutline(){let e=null;try{e=this.#oe()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read document outline.")}return shadow(this,"documentOutline",e)}#oe(){let e=this.#ie.get("Outlines");if(!(e instanceof Dict))return null;e=e.getRaw("First");if(!(e instanceof Ref))return null;const t={items:[]},a=[{obj:e,parent:t}],r=new RefSe\
+t;r.put(e);const i=this.xref,n=new Uint8ClampedArray(3);for(;a.length>0;){const t=a.shift(),s=i.fetchIfRef(t.obj);if(null===s)continue;s.has("Title")||warn("Invalid outline item encountered.");const o={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:s,resultObj:o,docBaseUrl:this.baseUrl,docAttachments:this.attachments});const c=s.get("Title"),l=s.get("F")||0,h=s.getArray("C"),u=s.get("Count");let d=n;!isNumberArray(h,3)||0===h[0]&&0===h[1]&&0===h[2]||(d=ColorSpaceUtils.rgb.\
+getRgb(h,0));const f={action:o.action,attachment:o.attachment,dest:o.dest,url:o.url,unsafeUrl:o.unsafeUrl,newWindow:o.newWindow,setOCGState:o.setOCGState,title:"string"==typeof c?stringToPDFString(c):"",color:d,count:Number.isInteger(u)?u:void 0,bold:!!(2&l),italic:!!(1&l),items:[]};t.parent.items.push(f);e=s.getRaw("First");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:f});r.put(e)}e=s.getRaw("Next");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:t.parent});r.put(e)}}return t.items\
+.length>0?t.items:null}get permissions(){let e=null;try{e=this.#ce()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read permissions.")}return shadow(this,"permissions",e)}#ce(){const e=this.xref.trailer.get("Encrypt");if(!(e instanceof Dict))return null;let t=e.get("P");if("number"!=typeof t)return null;t+=2**32;const a=[];for(const e in w){const r=w[e];t&r&&a.push(r)}return a}get optionalContentConfig(){let e=null;try{const t=this.#ie.get("OCProperties");if(!t)return sha\
+dow(this,"optionalContentConfig",null);const a=t.get("D");if(!a)return shadow(this,"optionalContentConfig",null);const r=t.get("OCGs");if(!Array.isArray(r))return shadow(this,"optionalContentConfig",null);const i=new RefSetCache;for(const e of r)e instanceof Ref&&!i.has(e)&&i.put(e,this.#le(e));e=this.#he(a,i)}catch(e){if(e instanceof MissingDataException)throw e;warn(`Unable to read optional content config: ${e}`)}return shadow(this,"optionalContentConfig",e)}#le(e){const t=this.xref.fetch(e),a\
+={id:e.toString(),name:null,intent:null,usage:{print:null,view:null},rbGroups:[]},r=t.get("Name");"string"==typeof r&&(a.name=stringToPDFString(r));let i=t.getArray("Intent");Array.isArray(i)||(i=[i]);i.every((e=>e instanceof Name))&&(a.intent=i.map((e=>e.name)));const n=t.get("Usage");if(!(n instanceof Dict))return a;const s=a.usage,o=n.get("Print");if(o instanceof Dict){const e=o.get("PrintState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.print={printState:e.name}}}const c=n.get\
+("View");if(c instanceof Dict){const e=c.get("ViewState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.view={viewState:e.name}}}return a}#he(e,t){function parseOnOff(e){const a=[];if(Array.isArray(e))for(const r of e)r instanceof Ref&&t.has(r)&&a.push(r.toString());return a}function parseOrder(e,a=0){if(!Array.isArray(e))return null;const i=[];for(const n of e){if(n instanceof Ref&&t.has(n)){r.put(n);i.push(n.toString());continue}const e=parseNestedOrder(n,a);e&&i.push(e)}if(a>0)retu\
+rn i;const n=[];for(const[e]of t.items())r.has(e)||n.push(e.toString());n.length&&i.push({name:null,order:n});return i}function parseNestedOrder(e,t){if(++t>i){warn("parseNestedOrder - reached MAX_NESTED_LEVELS.");return null}const r=a.fetchIfRef(e);if(!Array.isArray(r))return null;const n=a.fetchIfRef(r[0]);if("string"!=typeof n)return null;const s=parseOrder(r.slice(1),t);return s?.length?{name:stringToPDFString(n),order:s}:null}const a=this.xref,r=new RefSet,i=10;!function parseRBGroups(e){if\
+(Array.isArray(e))for(const r of e){const e=a.fetchIfRef(r);if(!Array.isArray(e)||!e.length)continue;const i=new Set;for(const a of e)if(a instanceof Ref&&t.has(a)&&!i.has(a.toString())){i.add(a.toString());t.get(a).rbGroups.push(i)}}}(e.get("RBGroups"));return{name:"string"==typeof e.get("Name")?stringToPDFString(e.get("Name")):null,creator:"string"==typeof e.get("Creator")?stringToPDFString(e.get("Creator")):null,baseState:e.get("BaseState")instanceof Name?e.get("BaseState").name:null,on:parse\
+OnOff(e.get("ON")),off:parseOnOff(e.get("OFF")),order:parseOrder(e.get("Order")),groups:[...t]}}setActualNumPages(e=null){this.#re=e}get hasActualNumPages(){return null!==this.#re}get _pagesCount(){const e=this.toplevelPagesDict.get("Count");if(!Number.isInteger(e))throw new FormatError("Page count in top-level pages dictionary is not an integer.");return shadow(this,"_pagesCount",e)}get numPages(){return this.#re??this._pagesCount}get destinations(){const e=this.#ue(),t=Object.create(null);for(\
+const a of e)if(a instanceof NameTree)for(const[e,r]of a.getAll()){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]=a)}else if(a instanceof Dict)for(const[e,r]of a){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]||=a)}return shadow(this,"destinations",t)}getDestination(e){if(this.hasOwnProperty("destinations"))return this.destinations[e]??null;const t=this.#ue();for(const a of t)if(a instanceof NameTree||a instanceof Dict){const t=fetchDest(a.get(e));if(t)return t}if(t.length){const t=thi\
+s.destinations[e];if(t)return t}return null}#ue(){const e=this.#ie.get("Names"),t=[];e?.has("Dests")&&t.push(new NameTree(e.getRaw("Dests"),this.xref));this.#ie.has("Dests")&&t.push(this.#ie.get("Dests"));return t}get pageLabels(){let e=null;try{e=this.#de()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read page labels.")}return shadow(this,"pageLabels",e)}#de(){const e=this.#ie.getRaw("PageLabels");if(!e)return null;const t=new Array(this.numPages);let a=null,r="";const\
+ i=new NumberTree(e,this.xref).getAll();let n="",s=1;for(let e=0,o=this.numPages;e<o;e++){const o=i.get(e);if(void 0!==o){if(!(o instanceof Dict))throw new FormatError("PageLabel is not a dictionary.");if(o.has("Type")&&!isName(o.get("Type"),"PageLabel"))throw new FormatError("Invalid type in PageLabel dictionary.");if(o.has("S")){const e=o.get("S");if(!(e instanceof Name))throw new FormatError("Invalid style in PageLabel dictionary.");a=e.name}else a=null;if(o.has("P")){const e=o.get("P");if("s\
+tring"!=typeof e)throw new FormatError("Invalid prefix in PageLabel dictionary.");r=stringToPDFString(e)}else r="";if(o.has("St")){const e=o.get("St");if(!(Number.isInteger(e)&&e>=1))throw new FormatError("Invalid start in PageLabel dictionary.");s=e}else s=1}switch(a){case"D":n=s;break;case"R":case"r":n=toRomanNumerals(s,"r"===a);break;case"A":case"a":const e=26,t="a"===a?97:65,r=s-1;n=String.fromCharCode(t+r%e).repeat(Math.floor(r/e)+1);break;default:if(a)throw new FormatError(`Invalid style "\
+${a}" in PageLabel dictionary.`);n=""}t[e]=r+n;s++}return t}get pageLayout(){const e=this.#ie.get("PageLayout");let t="";if(e instanceof Name)switch(e.name){case"SinglePage":case"OneColumn":case"TwoColumnLeft":case"TwoColumnRight":case"TwoPageLeft":case"TwoPageRight":t=e.name}return shadow(this,"pageLayout",t)}get pageMode(){const e=this.#ie.get("PageMode");let t="UseNone";if(e instanceof Name)switch(e.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"FullScreen":case"UseOC":case"UseAtt\
+achments":t=e.name}return shadow(this,"pageMode",t)}get viewerPreferences(){const e=this.#ie.get("ViewerPreferences");if(!(e instanceof Dict))return shadow(this,"viewerPreferences",null);let t=null;for(const[a,r]of e){let e;switch(a){case"HideToolbar":case"HideMenubar":case"HideWindowUI":case"FitWindow":case"CenterWindow":case"DisplayDocTitle":case"PickTrayByPDFSize":"boolean"==typeof r&&(e=r);break;case"NonFullScreenPageMode":if(r instanceof Name)switch(r.name){case"UseNone":case"UseOutlines":c\
+ase"UseThumbs":case"UseOC":e=r.name;break;default:e="UseNone"}break;case"Direction":if(r instanceof Name)switch(r.name){case"L2R":case"R2L":e=r.name;break;default:e="L2R"}break;case"ViewArea":case"ViewClip":case"PrintArea":case"PrintClip":if(r instanceof Name)switch(r.name){case"MediaBox":case"CropBox":case"BleedBox":case"TrimBox":case"ArtBox":e=r.name;break;default:e="CropBox"}break;case"PrintScaling":if(r instanceof Name)switch(r.name){case"None":case"AppDefault":e=r.name;break;default:e="AppD\
+efault"}break;case"Duplex":if(r instanceof Name)switch(r.name){case"Simplex":case"DuplexFlipShortEdge":case"DuplexFlipLongEdge":e=r.name;break;default:e="None"}break;case"PrintPageRange":if(Array.isArray(r)&&r.length%2==0){r.every(((e,t,a)=>Number.isInteger(e)&&e>0&&(0===t||e>=a[t-1])&&e<=this.numPages))&&(e=r)}break;case"NumCopies":Number.isInteger(r)&&r>0&&(e=r);break;default:warn(`Ignoring non-standard key in ViewerPreferences: ${a}.`);continue}if(void 0!==e){t??=Object.create(null);t[a]=e}el\
+se warn(`Bad value, for key "${a}", in ViewerPreferences: ${r}.`)}return shadow(this,"viewerPreferences",t)}get openAction(){const e=this.#ie.get("OpenAction"),t=Object.create(null);if(e instanceof Dict){const a=new Dict(this.xref);a.set("A",e);const r={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:a,resultObj:r});Array.isArray(r.dest)?t.dest=r.dest:r.action&&(t.action=r.action)}else Jn(e)&&(t.dest=e);return shadow(this,"openAction",objectSize(t)>0?t:null)}get attachments\
+(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("EmbeddedFiles")){const a=new NameTree(e.getRaw("EmbeddedFiles"),this.xref);for(const[e,r]of a.getAll()){const a=new FileSpec(r,this.xref);t??=Object.create(null);t[stringToPDFString(e,!0)]=a.serializable}}return shadow(this,"attachments",t)}get xfaImages(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("XFAImages")){const a=new NameTree(e.getRaw("XFAImages"),this.xref);for(const[e,r]of a.getAll())if(r \
+instanceof BaseStream){t??=new Map;t.set(stringToPDFString(e,!0),r.getBytes())}}return shadow(this,"xfaImages",t)}#fe(){const e=this.#ie.get("Names");let t=null;function appendIfJavaScriptDict(e,a){if(!(a instanceof Dict))return;if(!isName(a.get("S"),"JavaScript"))return;let r=a.get("JS");if(r instanceof BaseStream)r=r.getString();else if("string"!=typeof r)return;r=stringToPDFString(r,!0).replaceAll("\\0","");r&&(t||=new Map).set(e,r)}if(e instanceof Dict&&e.has("JavaScript")){const t=new NameTr\
+ee(e.getRaw("JavaScript"),this.xref);for(const[e,a]of t.getAll())appendIfJavaScriptDict(stringToPDFString(e,!0),a)}const a=this.#ie.get("OpenAction");a&&appendIfJavaScriptDict("OpenAction",a);return t}get jsActions(){const e=this.#fe();let t=collectActions(this.xref,this.#ie,we);if(e){t||=Object.create(null);for(const[a,r]of e)a in t?t[a].push(r):t[a]=[r]}return shadow(this,"jsActions",t)}async cleanup(e=!1){clearGlobalCaches();this.globalColorSpaceCache.clear();this.globalImageCache.clear(e);th\
+is.pageKidsCountCache.clear();this.pageIndexCache.clear();this.pageDictCache.clear();this.nonBlendModesSet.clear();for(const{dict:e}of await Promise.all(this.fontCache))delete e.cacheKey;this.fontCache.clear();this.builtInCMapCache.clear();this.standardFontDataCache.clear();this.systemFontCache.clear()}async getPageDict(e){const t=[this.toplevelPagesDict],a=new RefSet,r=this.#ie.getRaw("Pages");r instanceof Ref&&a.put(r);const i=this.xref,n=this.pageKidsCountCache,s=this.pageIndexCache,o=this.pa\
+geDictCache;let c=0;for(;t.length;){const r=t.pop();if(r instanceof Ref){const l=n.get(r);if(l>=0&&c+l<=e){c+=l;continue}if(a.has(r))throw new FormatError("Pages tree contains circular reference.");a.put(r);const h=await(o.get(r)||i.fetchAsync(r));if(h instanceof Dict){let t=h.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!h.has("Kids")){n.has(r)||n.put(r,1);s.has(r)||s.put(r,c);if(c===e)return[h,r];c++;continue}}t.push(h);continue}if(!(r instanceof Dict))throw \
+new FormatError("Page dictionary kid reference points to wrong type of object.");const{objId:l}=r;let h=r.getRaw("Count");h instanceof Ref&&(h=await i.fetchAsync(h));if(Number.isInteger(h)&&h>=0){l&&!n.has(l)&&n.put(l,h);if(c+h<=e){c+=h;continue}}let u=r.getRaw("Kids");u instanceof Ref&&(u=await i.fetchAsync(u));if(!Array.isArray(u)){let t=r.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!r.has("Kids")){if(c===e)return[r,null];c++;continue}throw new FormatError("\
+Page dictionary kids object is not an array.")}for(let e=u.length-1;e>=0;e--){const a=u[e];t.push(a);r===this.toplevelPagesDict&&a instanceof Ref&&!o.has(a)&&o.put(a,i.fetchAsync(a))}}throw new Error(`Page index ${e} not found.`)}async getAllPageDicts(e=!1){const{ignoreErrors:t}=this.pdfManager.evaluatorOptions,a=[{currentNode:this.toplevelPagesDict,posInKids:0}],r=new RefSet,i=this.#ie.getRaw("Pages");i instanceof Ref&&r.put(i);const n=new Map,s=this.xref,o=this.pageIndexCache;let c=0;function \
+addPageDict(e,t){t&&!o.has(t)&&o.put(t,c);n.set(c++,[e,t])}function addPageError(a){if(a instanceof XRefEntryException&&!e)throw a;if(e&&t&&0===c){warn(`getAllPageDicts - Skipping invalid first page: "${a}".`);a=Dict.empty}n.set(c++,[a,null])}for(;a.length>0;){const e=a.at(-1),{currentNode:t,posInKids:i}=e;let n=t.getRaw("Kids");if(n instanceof Ref)try{n=await s.fetchAsync(n)}catch(e){addPageError(e);break}if(!Array.isArray(n)){addPageError(new FormatError("Page dictionary kids object is not an \
+array."));break}if(i>=n.length){a.pop();continue}const o=n[i];let c;if(o instanceof Ref){if(r.has(o)){addPageError(new FormatError("Pages tree contains circular reference."));break}r.put(o);try{c=await s.fetchAsync(o)}catch(e){addPageError(e);break}}else c=o;if(!(c instanceof Dict)){addPageError(new FormatError("Page dictionary kid reference points to wrong type of object."));break}let l=c.getRaw("Type");if(l instanceof Ref)try{l=await s.fetchAsync(l)}catch(e){addPageError(e);break}isName(l,"Pag\
+e")||!c.has("Kids")?addPageDict(c,o instanceof Ref?o:null):a.push({currentNode:c,posInKids:0});e.posInKids++}return n}getPageIndex(e){const t=this.pageIndexCache.get(e);if(void 0!==t)return Promise.resolve(t);const a=this.xref;let r=0;const next=t=>function pagesBeforeRef(t){let r,i=0;return a.fetchAsync(t).then((function(a){if(isRefsEqual(t,e)&&!isDict(a,"Page")&&!(a instanceof Dict&&!a.has("Type")&&a.has("Contents")))throw new FormatError("The reference does not point to a /Page dictionary.");\
+if(!a)return null;if(!(a instanceof Dict))throw new FormatError("Node must be a dictionary.");r=a.getRaw("Parent");return a.getAsync("Parent")})).then((function(e){if(!e)return null;if(!(e instanceof Dict))throw new FormatError("Parent must be a dictionary.");return e.getAsync("Kids")})).then((function(e){if(!e)return null;const n=[];let s=!1;for(const r of e){if(!(r instanceof Ref))throw new FormatError("Kid must be a reference.");if(isRefsEqual(r,t)){s=!0;break}n.push(a.fetchAsync(r).then((fun\
+ction(e){if(!(e instanceof Dict))throw new FormatError("Kid node must be a dictionary.");e.has("Count")?i+=e.get("Count"):i++})))}if(!s)throw new FormatError("Kid reference not found in parent\'s kids.");return Promise.all(n).then((()=>[i,r]))}))}(t).then((t=>{if(!t){this.pageIndexCache.put(e,r);return r}const[a,i]=t;r+=a;return next(i)}));return next(e)}get baseUrl(){const e=this.#ie.get("URI");if(e instanceof Dict){const t=e.get("Base");if("string"==typeof t){const e=createValidAbsoluteUrl(t,nu\
+ll,{tryConvertEncoding:!0});if(e)return shadow(this,"baseUrl",e.href)}}return shadow(this,"baseUrl",this.pdfManager.docBaseUrl)}static parseDestDictionary({destDict:e,resultObj:t,docBaseUrl:a=null,docAttachments:r=null}){if(!(e instanceof Dict)){warn("parseDestDictionary: `destDict` must be a dictionary.");return}let i,n,s=e.get("A");if(!(s instanceof Dict))if(e.has("Dest"))s=e.get("Dest");else{s=e.get("AA");s instanceof Dict&&(s.has("D")?s=s.get("D"):s.has("U")&&(s=s.get("U")))}if(s instanceof \
+Dict){const e=s.get("S");if(!(e instanceof Name)){warn("parseDestDictionary: Invalid type in Action dictionary.");return}const a=e.name;switch(a){case"ResetForm":const e=s.get("Flags"),o=!(1&("number"==typeof e?e:0)),c=[],l=[];for(const e of s.get("Fields")||[])e instanceof Ref?l.push(e.toString()):"string"==typeof e&&c.push(stringToPDFString(e));t.resetForm={fields:c,refs:l,include:o};break;case"URI":i=s.get("URI");i instanceof Name&&(i="/"+i.name);break;case"GoTo":n=s.get("D");break;case"Launc\
+h":case"GoToR":const h=s.get("F");if(h instanceof Dict){const e=new FileSpec(h,null,!0),{rawFilename:t}=e.serializable;i=t}else"string"==typeof h&&(i=h);const u=fetchRemoteDest(s);u&&"string"==typeof i&&(i=i.split("#",1)[0]+"#"+u);const d=s.get("NewWindow");"boolean"==typeof d&&(t.newWindow=d);break;case"GoToE":const f=s.get("T");let g;if(r&&f instanceof Dict){const e=f.get("R"),t=f.get("N");isName(e,"C")&&"string"==typeof t&&(g=r[stringToPDFString(t,!0)])}if(g){t.attachment=g;const e=fetchRemot\
+eDest(s);e&&(t.attachmentDest=e)}else warn(\'parseDestDictionary - unimplemented "GoToE" action.\');break;case"Named":const p=s.get("N");p instanceof Name&&(t.action=p.name);break;case"SetOCGState":const m=s.get("State"),b=s.get("PreserveRB");if(!Array.isArray(m)||0===m.length)break;const y=[];for(const e of m)if(e instanceof Name)switch(e.name){case"ON":case"OFF":case"Toggle":y.push(e.name)}else e instanceof Ref&&y.push(e.toString());if(y.length!==m.length)break;t.setOCGState={state:y,preserveRB:\
+"boolean"!=typeof b||b};break;case"JavaScript":const w=s.get("JS");let x;w instanceof BaseStream?x=w.getString():"string"==typeof w&&(x=w);const S=x&&recoverJsURL(stringToPDFString(x,!0));if(S){i=S.url;t.newWindow=S.newWindow;break}default:if("JavaScript"===a||"SubmitForm"===a)break;warn(`parseDestDictionary - unsupported action: "${a}".`)}}else e.has("Dest")&&(n=e.get("Dest"));if("string"==typeof i){const e=createValidAbsoluteUrl(i,a,{addDefaultProtocol:!0,tryConvertEncoding:!0});e&&(t.url=e.hr\
+ef);t.unsafeUrl=i}if(n){n instanceof Name&&(n=n.name);"string"==typeof n?t.dest=stringToPDFString(n,!0):Jn(n)&&(t.dest=n)}}}function addChildren(e,t){if(e instanceof Dict)e=e.getRawValues();else if(e instanceof BaseStream)e=e.dict.getRawValues();else if(!Array.isArray(e))return;for(const r of e)((a=r)instanceof Ref||a instanceof Dict||a instanceof BaseStream||Array.isArray(a))&&t.push(r);var a}class ObjectLoader{refSet=new RefSet;constructor(e,t,a){this.dict=e;this.keys=t;this.xref=a}async load(\
+){const{keys:e,dict:t}=this,a=[];for(const r of e){const e=t.getRaw(r);void 0!==e&&a.push(e)}await this.#ge(a);this.refSet=null}async#ge(e){const t=[],a=[];for(;e.length;){let r=e.pop();if(r instanceof Ref){if(this.refSet.has(r))continue;try{this.refSet.put(r);r=this.xref.fetch(r)}catch(e){if(!(e instanceof MissingDataException)){warn(`ObjectLoader.#walk - requesting all data: "${e}".`);await this.xref.stream.manager.requestAllChunks();return}t.push(r);a.push({begin:e.begin,end:e.end})}}if(r ins\
+tanceof BaseStream){const e=r.getBaseStreams();if(e){let i=!1;for(const t of e)if(!t.isDataLoaded){i=!0;a.push({begin:t.start,end:t.end})}i&&t.push(r)}}addChildren(r,e)}if(a.length){await this.xref.stream.manager.requestRanges(a);for(const e of t)e instanceof Ref&&this.refSet.remove(e);await this.#ge(t)}}static async load(e,t,a){if(a.stream.isDataLoaded)return;const r=new ObjectLoader(e,t,a);await r.load()}}const Yn=Symbol(),Zn=Symbol(),Qn=Symbol(),es=Symbol(),ts=Symbol(),as=Symbol(),rs=Symbol()\
+,is=Symbol(),ns=Symbol(),ss=Symbol("content"),os=Symbol("data"),cs=Symbol(),ls=Symbol("extra"),hs=Symbol(),us=Symbol(),ds=Symbol(),fs=Symbol(),gs=Symbol(),ps=Symbol(),ms=Symbol(),bs=Symbol(),ys=Symbol(),ws=Symbol(),xs=Symbol(),Ss=Symbol(),As=Symbol(),ks=Symbol(),Cs=Symbol(),vs=Symbol(),Fs=Symbol(),Is=Symbol(),Ts=Symbol(),Os=Symbol(),Ms=Symbol(),Ds=Symbol(),Bs=Symbol(),Rs=Symbol(),Ns=Symbol(),Es=Symbol(),Ls=Symbol(),js=Symbol(),_s=Symbol(),Us=Symbol(),Xs=Symbol(),qs=Symbol(),Hs=Symbol("namespaceI\
+d"),Ws=Symbol("nodeName"),zs=Symbol(),$s=Symbol(),Gs=Symbol(),Vs=Symbol(),Ks=Symbol(),Js=Symbol(),Ys=Symbol(),Zs=Symbol(),Qs=Symbol("root"),eo=Symbol(),to=Symbol(),ao=Symbol(),ro=Symbol(),io=Symbol(),no=Symbol(),so=Symbol(),oo=Symbol(),co=Symbol(),lo=Symbol(),ho=Symbol(),uo=Symbol("uid"),fo=Symbol(),go={config:{id:0,check:e=>e.startsWith("http://www.xfa.org/schema/xci/")},connectionSet:{id:1,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-connection-set/")},datasets:{id:2,check:e=>e.startsW\
+ith("http://www.xfa.org/schema/xfa-data/")},form:{id:3,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-form/")},localeSet:{id:4,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-locale-set/")},pdf:{id:5,check:e=>"http://ns.adobe.com/xdp/pdf/"===e},signature:{id:6,check:e=>"http://www.w3.org/2000/09/xmldsig#"===e},sourceSet:{id:7,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-source-set/")},stylesheet:{id:8,check:e=>"http://www.w3.org/1999/XSL/Transform"===e},template:{id:9,check:e=\
+>e.startsWith("http://www.xfa.org/schema/xfa-template/")},xdc:{id:10,check:e=>e.startsWith("http://www.xfa.org/schema/xdc/")},xdp:{id:11,check:e=>"http://ns.adobe.com/xdp/"===e},xfdf:{id:12,check:e=>"http://ns.adobe.com/xfdf/"===e},xhtml:{id:13,check:e=>"http://www.w3.org/1999/xhtml"===e},xmpmeta:{id:14,check:e=>"http://ns.adobe.com/xmpmeta/"===e}},po={pt:e=>e,cm:e=>e/2.54*72,mm:e=>e/25.4*72,in:e=>72*e,px:e=>e},mo=/([+-]?\\d+\\.?\\d*)(.*)/;function stripQuotes(e){return e.startsWith("\'")||e.startsW\
+ith(\'"\')?e.slice(1,-1):e}function getInteger({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseInt(e,10);return!isNaN(r)&&a(r)?r:t}function getFloat({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseFloat(e);return!isNaN(r)&&a(r)?r:t}function getKeyword({data:e,defaultValue:t,validate:a}){return e&&a(e=e.trim())?e:t}function getStringOption(e,t){return getKeyword({data:e,defaultValue:t[0],validate:e=>t.includes(e)})}function getMeasurement(e,t="0\
+"){t||="0";if(!e)return getMeasurement(t);const a=e.trim().match(mo);if(!a)return getMeasurement(t);const[,r,i]=a,n=parseFloat(r);if(isNaN(n))return getMeasurement(t);if(0===n)return 0;const s=po[i];return s?s(n):n}function getRatio(e){if(!e)return{num:1,den:1};const t=e.split(":",2).map((e=>parseFloat(e.trim()))).filter((e=>!isNaN(e)));1===t.length&&t.push(1);if(0===t.length)return{num:1,den:1};const[a,r]=t;return{num:a,den:r}}function getRelevant(e){return e?e.trim().split(/\\s+/).map((e=>({exc\
+luded:"-"===e[0],viewname:e.substring(1)}))):[]}class HTMLResult{static get FAILURE(){return shadow(this,"FAILURE",new HTMLResult(!1,null,null,null))}static get EMPTY(){return shadow(this,"EMPTY",new HTMLResult(!0,null,null,null))}constructor(e,t,a,r){this.success=e;this.html=t;this.bbox=a;this.breakNode=r}isBreak(){return!!this.breakNode}static breakNode(e){return new HTMLResult(!1,null,null,e)}static success(e,t=null){return new HTMLResult(!0,e,t,null)}}class FontFinder{constructor(e){this.fon\
+ts=new Map;this.cache=new Map;this.warned=new Set;this.defaultFont=null;this.add(e)}add(e,t=null){for(const t of e)this.addPdfFont(t);for(const e of this.fonts.values())e.regular||(e.regular=e.italic||e.bold||e.bolditalic);if(!t||0===t.size)return;const a=this.fonts.get("PdfJS-Fallback-PdfJS-XFA");for(const e of t)this.fonts.set(e,a)}addPdfFont(e){const t=e.cssFontInfo,a=t.fontFamily;let r=this.fonts.get(a);if(!r){r=Object.create(null);this.fonts.set(a,r);this.defaultFont||(this.defaultFont=r)}l\
+et i="";const n=parseFloat(t.fontWeight);0!==parseFloat(t.italicAngle)?i=n>=700?"bolditalic":"italic":n>=700&&(i="bold");if(!i){(e.name.includes("Bold")||e.psName?.includes("Bold"))&&(i="bold");(e.name.includes("Italic")||e.name.endsWith("It")||e.psName?.includes("Italic")||e.psName?.endsWith("It"))&&(i+="italic")}i||(i="regular");r[i]=e}getDefault(){return this.defaultFont}find(e,t=!0){let a=this.fonts.get(e)||this.cache.get(e);if(a)return a;const r=/,|-|_| |bolditalic|bold|italic|regular|it/gi\
+;let i=e.replaceAll(r,"");a=this.fonts.get(i);if(a){this.cache.set(e,a);return a}i=i.toLowerCase();const n=[];for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t);if(0===n.length)for(const[,e]of this.fonts.entries())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(0===n.length){i=i.replaceAll(/psmt|mt/gi,"");for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t)}if(0===n.length)for(const\
+ e of this.fonts.values())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(n.length>=1){1!==n.length&&t&&warn(`XFA - Too many choices to guess the correct font: ${e}`);this.cache.set(e,n[0]);return n[0]}if(t&&!this.warned.has(e)){this.warned.add(e);warn(`XFA - Cannot find the font: ${e}`)}return null}}function selectFont(e,t){return"italic"===e.posture?"bold"===e.weight?t.bolditalic:t.italic:"bold"===e.weight?t.bold:t.regular}class FontInfo{constructor(e,t,a,r){this.lin\
+eHeight=a;this.paraMargin=t||{top:0,bottom:0,left:0,right:0};if(!e){[this.pdfFont,this.xfaFont]=this.defaultFont(r);return}this.xfaFont={typeface:e.typeface,posture:e.posture,weight:e.weight,size:e.size,letterSpacing:e.letterSpacing};const i=r.find(e.typeface);if(i){this.pdfFont=selectFont(e,i);this.pdfFont||([this.pdfFont,this.xfaFont]=this.defaultFont(r))}else[this.pdfFont,this.xfaFont]=this.defaultFont(r)}defaultFont(e){const t=e.find("Helvetica",!1)||e.find("Myriad Pro",!1)||e.find("Arial",!\
+1)||e.getDefault();if(t?.regular){const e=t.regular;return[e,{typeface:e.cssFontInfo.fontFamily,posture:"normal",weight:"normal",size:10,letterSpacing:0}]}return[null,{typeface:"Courier",posture:"normal",weight:"normal",size:10,letterSpacing:0}]}}class FontSelector{constructor(e,t,a,r){this.fontFinder=r;this.stack=[new FontInfo(e,t,a,r)]}pushData(e,t,a){const r=this.stack.at(-1);for(const t of["typeface","posture","weight","size","letterSpacing"])e[t]||(e[t]=r.xfaFont[t]);for(const e of["top","b\
+ottom","left","right"])isNaN(t[e])&&(t[e]=r.paraMargin[e]);const i=new FontInfo(e,t,a||r.lineHeight,this.fontFinder);i.pdfFont||(i.pdfFont=r.pdfFont);this.stack.push(i)}popFont(){this.stack.pop()}topFont(){return this.stack.at(-1)}}class TextMeasure{constructor(e,t,a,r){this.glyphs=[];this.fontSelector=new FontSelector(e,t,a,r);this.extraHeight=0}pushData(e,t,a){this.fontSelector.pushData(e,t,a)}popFont(e){return this.fontSelector.popFont()}addPara(){const e=this.fontSelector.topFont();this.extr\
+aHeight+=e.paraMargin.top+e.paraMargin.bottom}addString(e){if(!e)return;const t=this.fontSelector.topFont(),a=t.xfaFont.size;if(t.pdfFont){const r=t.xfaFont.letterSpacing,i=t.pdfFont,n=i.lineHeight||1.2,s=t.lineHeight||Math.max(1.2,n)*a,o=n-(void 0===i.lineGap?.2:i.lineGap),c=Math.max(1,o)*a,l=a/1e3,h=i.defaultWidth||i.charsToGlyphs(" ")[0].width;for(const t of e.split(/[\\u2029\\n]/)){const e=i.encodeString(t).join(""),a=i.charsToGlyphs(e);for(const e of a){const t=e.width||h;this.glyphs.push([t*\
+l+r,s,c,e.unicode,!1])}this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}else{for(const t of e.split(/[\\u2029\\n]/)){for(const e of t.split(""))this.glyphs.push([a,1.2*a,a,e,!1]);this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}}compute(e){let t=-1,a=0,r=0,i=0,n=0,s=0,o=!1,c=!0;for(let l=0,h=this.glyphs.length;l<h;l++){const[h,u,d,f,g]=this.glyphs[l],p=" "===f,m=c?d:u;if(g){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;c=!1}else if(p)if(n+h>e){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;o=!0;c=!1}else{s=M\
+ath.max(m,s);a=n;n+=h;t=l}else if(n+h>e){i+=s;s=m;if(-1!==t){l=t;r=Math.max(r,a);n=0;t=-1;a=0}else{r=Math.max(r,n);n=h}o=!0;c=!1}else{n+=h;s=Math.max(m,s)}}r=Math.max(r,n);i+=s+this.extraHeight;return{width:1.02*r,height:i,isBroken:o}}}const bo=/^[^.[]+/,yo=/^[^\\]]+/,wo=0,xo=1,So=2,Ao=3,ko=4,Co=new Map([["$data",(e,t)=>e.datasets?e.datasets.data:e],["$record",(e,t)=>(e.datasets?e.datasets.data:e)[Ss]()[0]],["$template",(e,t)=>e.template],["$connectionSet",(e,t)=>e.connectionSet],["$form",(e,t)=>\
+e.form],["$layout",(e,t)=>e.layout],["$host",(e,t)=>e.host],["$dataWindow",(e,t)=>e.dataWindow],["$event",(e,t)=>e.event],["!",(e,t)=>e.datasets],["$xfa",(e,t)=>e],["xfa",(e,t)=>e],["$",(e,t)=>t]]),vo=new WeakMap;function parseExpression(e,t,a=!0){let r=e.match(bo);if(!r)return null;let[i]=r;const n=[{name:i,cacheName:"."+i,index:0,js:null,formCalc:null,operator:wo}];let s=i.length;for(;s<e.length;){const c=s;if("["===e.charAt(s++)){r=e.slice(s).match(yo);if(!r){warn("XFA - Invalid index in SOM \
+expression");return null}n.at(-1).index="*"===(o=(o=r[0]).trim())?1/0:parseInt(o,10)||0;s+=r[0].length+1;continue}let l;switch(e.charAt(s)){case".":if(!t)return null;s++;l=xo;break;case"#":s++;l=So;break;case"[":if(a){warn("XFA - SOM expression contains a FormCalc subexpression which is not supported for now.");return null}l=Ao;break;case"(":if(a){warn("XFA - SOM expression contains a JavaScript subexpression which is not supported for now.");return null}l=ko;break;default:l=wo}r=e.slice(s).matc\
+h(bo);if(!r)break;[i]=r;s+=i.length;n.push({name:i,cacheName:e.slice(c,s),operator:l,index:0,js:null,formCalc:null})}var o;return n}function searchNode(e,t,a,r=!0,i=!0){const n=parseExpression(a,r);if(!n)return null;const s=Co.get(n[0].name);let o,c=0;if(s){o=!0;e=[s(e,t)];c=1}else{o=null===t;e=[t||e]}for(let a=n.length;c<a;c++){const{name:a,cacheName:r,operator:s,index:l}=n[c],h=[];for(const t of e){if(!t.isXFAObject)continue;let e,n;if(i){n=vo.get(t);if(!n){n=new Map;vo.set(t,n)}e=n.get(r)}if(\
+!e){switch(s){case wo:e=t[ms](a,!1);break;case xo:e=t[ms](a,!0);break;case So:e=t[ps](a);e=e.isXFAObjectArray?e.children:[e]}i&&n.set(r,e)}e.length>0&&h.push(e)}if(0!==h.length||o||0!==c)e=isFinite(l)?h.filter((e=>l<e.length)).map((e=>e[l])):h.flat();else{const a=t[vs]();if(!(t=a))return null;c=-1;e=[t]}}return 0===e.length?null:e}function createDataNode(e,t,a){const r=parseExpression(a);if(!r)return null;if(r.some((e=>e.operator===xo)))return null;const i=Co.get(r[0].name);let n=0;if(i){e=i(e,t\
+);n=1}else e=t||e;for(let t=r.length;n<t;n++){const{name:t,operator:a,index:i}=r[n];if(!isFinite(i)){r[n].index=0;return e.createNodes(r.slice(n))}let s;switch(a){case wo:s=e[ms](t,!1);break;case xo:s=e[ms](t,!0);break;case So:s=e[ps](t);s=s.isXFAObjectArray?s.children:[s]}if(0===s.length)return e.createNodes(r.slice(n));if(!(i<s.length)){r[n].index=i-s.length;return e.createNodes(r.slice(n))}{const t=s[i];if(!t.isXFAObject){warn("XFA - Cannot create a node.");return null}e=t}}return null}const \
+Fo=Symbol(),Io=Symbol(),Oo=Symbol(),Mo=Symbol("_children"),Do=Symbol(),Bo=Symbol(),Ro=Symbol(),No=Symbol(),Eo=Symbol(),Po=Symbol(),Lo=Symbol(),jo=Symbol(),_o=Symbol(),Uo=Symbol("parent"),Xo=Symbol(),qo=Symbol(),Ho=Symbol();let Wo=0;const zo=go.datasets.id;class XFAObject{constructor(e,t,a=!1){this[Hs]=e;this[Ws]=t;this[Lo]=a;this[Uo]=null;this[Mo]=[];this[uo]=`${t}${Wo++}`;this[Is]=null}get isXFAObject(){return!0}get isXFAObjectArray(){return!1}createNodes(e){let t=this,a=null;for(const{name:r,i\
+ndex:i}of e){for(let e=0,n=isFinite(i)?i:0;e<=n;e++){const e=t[Hs]===zo?-1:t[Hs];a=new XmlObject(e,r);t[Qn](a)}t=a}return a}[$s](e){if(!this[Lo]||!this[Gs](e))return!1;const t=e[Ws],a=this[t];if(!(a instanceof XFAObjectArray)){null!==a&&this[Zs](a);this[t]=e;this[Qn](e);return!0}if(a.push(e)){this[Qn](e);return!0}let r="";this.id?r=` (id: ${this.id})`:this.name&&(r=` (name: ${this.name} ${this.h.value})`);warn(`XFA - node "${this[Ws]}"${r} has already enough "${t}"!`);return!1}[Gs](e){return thi\
+s.hasOwnProperty(e[Ws])&&e[Hs]===this[Hs]}[Ls](){return!1}[Yn](){return!1}[Bs](){return!1}[Rs](){return!1}[Js](){this.para&&this[Fs]()[ls].paraStack.pop()}[Ys](){this[Fs]()[ls].paraStack.push(this.para)}[ao](e){this.id&&this[Hs]===go.template.id&&e.set(this.id,this)}[Fs](){return this[Is].template}[js](){return!1}[_s](){return!1}[Qn](e){e[Uo]=this;this[Mo].push(e);!e[Is]&&this[Is]&&(e[Is]=this[Is])}[Zs](e){const t=this[Mo].indexOf(e);this[Mo].splice(t,1)}[Ts](){return this.hasOwnProperty("value"\
+)}[io](e){}[Vs](e){}[hs](){}[ts](e){delete this[Lo];if(this[rs]){e.clean(this[rs]);delete this[rs]}}[Ms](e){return this[Mo].indexOf(e)}[Ds](e,t){t[Uo]=this;this[Mo].splice(e,0,t);!t[Is]&&this[Is]&&(t[Is]=this[Is])}[Us](){return!this.name}[qs](){return""}[so](){return 0===this[Mo].length?this[ss]:this[Mo].map((e=>e[so]())).join("")}get[Oo](){const e=Object.getPrototypeOf(this);if(!e._attributes){const t=e._attributes=new Set;for(const e of Object.getOwnPropertyNames(this)){if(null===this[e]||this\
+[e]instanceof XFAObject||this[e]instanceof XFAObjectArray)break;t.add(e)}}return shadow(this,Oo,e._attributes)}[Es](e){let t=this;for(;t;){if(t===e)return!0;t=t[vs]()}return!1}[vs](){return this[Uo]}[Cs](){return this[vs]()}[Ss](e=null){return e?this[e]:this[Mo]}[cs](){const e=Object.create(null);this[ss]&&(e.$content=this[ss]);for(const t of Object.getOwnPropertyNames(this)){const a=this[t];null!==a&&(a instanceof XFAObject?e[t]=a[cs]():a instanceof XFAObjectArray?a.isEmpty()||(e[t]=a.dump()):e\
+[t]=a)}return e}[ho](){return null}[co](){return HTMLResult.EMPTY}*[As](){for(const e of this[Ss]())yield e}*[No](e,t){for(const a of this[As]())if(!e||t===e.has(a[Ws])){const e=this[gs](),t=a[co](e);t.success||(this[ls].failingNode=a);yield t}}[us](){return null}[Zn](e,t){this[ls].children.push(e)}[gs](){}[es]({filter:e=null,include:t=!0}){if(this[ls].generator){const e=this[gs](),t=this[ls].failingNode[co](e);if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox);delete this[ls].failingNode}el\
+se this[ls].generator=this[No](e,t);for(;;){const e=this[ls].generator.next();if(e.done)break;const t=e.value;if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox)}this[ls].generator=null;return HTMLResult.EMPTY}[ro](e){this[qo]=new Set(Object.keys(e))}[Po](e){const t=this[Oo],a=this[qo];return[...e].filter((e=>t.has(e)&&!a.has(e)))}[eo](e,t=new Set){for(const a of this[Mo])a[Xo](e,t)}[Xo](e,t){const a=this[Eo](e,t);a?this[Fo](a,e,t):this[eo](e,t)}[Eo](e,t){const{use:a,usehref:r}=this;if(!a&&!r\
+)return null;let i=null,n=null,s=null,o=a;if(r){o=r;r.startsWith("#som(")&&r.endsWith(")")?n=r.slice(5,-1):r.startsWith(".#som(")&&r.endsWith(")")?n=r.slice(6,-1):r.startsWith("#")?s=r.slice(1):r.startsWith(".#")&&(s=r.slice(2))}else a.startsWith("#")?s=a.slice(1):n=a;this.use=this.usehref="";if(s)i=e.get(s);else{i=searchNode(e.get(Qs),this,n,!0,!1);i&&(i=i[0])}if(!i){warn(`XFA - Invalid prototype reference: ${o}.`);return null}if(i[Ws]!==this[Ws]){warn(`XFA - Incompatible prototype: ${i[Ws]} !=\
+= ${this[Ws]}.`);return null}if(t.has(i)){warn("XFA - Cycle detected in prototypes use.");return null}t.add(i);const c=i[Eo](e,t);c&&i[Fo](c,e,t);i[eo](e,t);t.delete(i);return i}[Fo](e,t,a){if(a.has(e)){warn("XFA - Cycle detected in prototypes use.");return}!this[ss]&&e[ss]&&(this[ss]=e[ss]);new Set(a).add(e);for(const t of this[Po](e[qo])){this[t]=e[t];this[qo]&&this[qo].add(t)}for(const r of Object.getOwnPropertyNames(this)){if(this[Oo].has(r))continue;const i=this[r],n=e[r];if(i instanceof XF\
+AObjectArray){for(const e of i[Mo])e[Xo](t,a);for(let r=i[Mo].length,s=n[Mo].length;r<s;r++){const n=e[Mo][r][is]();if(!i.push(n))break;n[Uo]=this;this[Mo].push(n);n[Xo](t,a)}}else if(null===i){if(null!==n){const e=n[is]();e[Uo]=this;this[r]=e;this[Mo].push(e);e[Xo](t,a)}}else{i[eo](t,a);n&&i[Fo](n,t,a)}}}static[Do](e){return Array.isArray(e)?e.map((e=>XFAObject[Do](e))):"object"==typeof e&&null!==e?Object.assign({},e):e}[is](){const e=Object.create(Object.getPrototypeOf(this));for(const t of Ob\
+ject.getOwnPropertySymbols(this))try{e[t]=this[t]}catch{shadow(e,t,this[t])}e[uo]=`${e[Ws]}${Wo++}`;e[Mo]=[];for(const t of Object.getOwnPropertyNames(this)){if(this[Oo].has(t)){e[t]=XFAObject[Do](this[t]);continue}const a=this[t];e[t]=a instanceof XFAObjectArray?new XFAObjectArray(a[jo]):null}for(const t of this[Mo]){const a=t[Ws],r=t[is]();e[Mo].push(r);r[Uo]=e;null===e[a]?e[a]=r:e[a][Mo].push(r)}return e}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[ps](e){return this[e]}[ms\
+](e,t,a=!0){return Array.from(this[bs](e,t,a))}*[bs](e,t,a=!0){if("parent"!==e){for(const a of this[Mo]){a[Ws]===e&&(yield a);a.name===e&&(yield a);(t||a[Us]())&&(yield*a[bs](e,t,!1))}a&&this[Oo].has(e)&&(yield new XFAAttribute(this,e,this[e]))}else yield this[Uo]}}class XFAObjectArray{constructor(e=1/0){this[jo]=e;this[Mo]=[]}get isXFAObject(){return!1}get isXFAObjectArray(){return!0}push(e){if(this[Mo].length<=this[jo]){this[Mo].push(e);return!0}warn(`XFA - node "${e[Ws]}" accepts no more than\
+ ${this[jo]} children`);return!1}isEmpty(){return 0===this[Mo].length}dump(){return 1===this[Mo].length?this[Mo][0][cs]():this[Mo].map((e=>e[cs]()))}[is](){const e=new XFAObjectArray(this[jo]);e[Mo]=this[Mo].map((e=>e[is]()));return e}get children(){return this[Mo]}clear(){this[Mo].length=0}}class XFAAttribute{constructor(e,t,a){this[Uo]=e;this[Ws]=t;this[ss]=a;this[ns]=!1;this[uo]="attribute"+Wo++}[vs](){return this[Uo]}[Ns](){return!0}[ys](){return this[ss].trim()}[io](e){e=e.value||"";this[ss\
+]=e.toString()}[so](){return this[ss]}[Es](e){return this[Uo]===e||this[Uo][Es](e)}}class XmlObject extends XFAObject{constructor(e,t,a={}){super(e,t);this[ss]="";this[Bo]=null;if("#text"!==t){const e=new Map;this[Io]=e;for(const[t,r]of Object.entries(a))e.set(t,new XFAAttribute(this,t,r));if(a.hasOwnProperty(zs)){const e=a[zs].xfa.dataNode;void 0!==e&&("dataGroup"===e?this[Bo]=!1:"dataValue"===e&&(this[Bo]=!0))}}this[ns]=!1}[lo](e){const t=this[Ws];if("#text"===t){e.push(encodeToXmlString(this[\
+ss]));return}const a=utf8StringToString(t),r=this[Hs]===zo?"xfa:":"";e.push(`<${r}${a}`);for(const[t,a]of this[Io].entries()){const r=utf8StringToString(t);e.push(` ${r}="${encodeToXmlString(a[ss])}"`)}null!==this[Bo]&&(this[Bo]?e.push(\' xfa:dataNode="dataValue"\'):e.push(\' xfa:dataNode="dataGroup"\'));if(this[ss]||0!==this[Mo].length){e.push(">");if(this[ss])"string"==typeof this[ss]?e.push(encodeToXmlString(this[ss])):this[ss][lo](e);else for(const t of this[Mo])t[lo](e);e.push(`</${r}${a}>`)}el\
+se e.push("/>")}[$s](e){if(this[ss]){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];this[ss]=""}this[Qn](e);return!0}[Vs](e){this[ss]+=e}[hs](){if(this[ss]&&this[Mo].length>0){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];delete this[ss]}}[co](){return"#text"===this[Ws]?HTMLResult.success({name:"#text",value:this[ss]}):HTMLResult.EMPTY}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[fs](){return this[Io]}[ps](e){const t=this[Io].get(e);ret\
+urn void 0!==t?t:this[Ss](e)}*[bs](e,t){const a=this[Io].get(e);a&&(yield a);for(const a of this[Mo]){a[Ws]===e&&(yield a);t&&(yield*a[bs](e,t))}}*[ds](e,t){const a=this[Io].get(e);!a||t&&a[ns]||(yield a);for(const a of this[Mo])yield*a[ds](e,t)}*[xs](e,t,a){for(const r of this[Mo]){r[Ws]!==e||a&&r[ns]||(yield r);t&&(yield*r[xs](e,t,a))}}[Ns](){return null===this[Bo]?0===this[Mo].length||this[Mo][0][Hs]===go.xhtml.id:this[Bo]}[ys](){return null===this[Bo]?0===this[Mo].length?this[ss].trim():this\
+[Mo][0][Hs]===go.xhtml.id?this[Mo][0][so]().trim():null:this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[cs](e=!1){const t=Object.create(null);e&&(t.$ns=this[Hs]);this[ss]&&(t.$content=this[ss]);t.$name=this[Ws];t.children=[];for(const a of this[Mo])t.children.push(a[cs](e));t.attributes=Object.create(null);for(const[e,a]of this[Io])t.attributes[e]=a[ss];return t}}class ContentObject extends XFAObject{constructor(e,t){super(e,t);this[ss]=""}[Vs](e){this[ss]+=e}[hs](){}}class OptionOb\
+ject extends ContentObject{constructor(e,t,a){super(e,t);this[_o]=a}[hs](){this[ss]=getKeyword({data:this[ss],defaultValue:this[_o][0],validate:e=>this[_o].includes(e)})}[ts](e){super[ts](e);delete this[_o]}}class StringObject extends ContentObject{[hs](){this[ss]=this[ss].trim()}}class IntegerObject extends ContentObject{constructor(e,t,a,r){super(e,t);this[Ro]=a;this[Ho]=r}[hs](){this[ss]=getInteger({data:this[ss],defaultValue:this[Ro],validate:this[Ho]})}[ts](e){super[ts](e);delete this[Ro];d\
+elete this[Ho]}}class Option01 extends IntegerObject{constructor(e,t){super(e,t,0,(e=>1===e))}}class Option10 extends IntegerObject{constructor(e,t){super(e,t,1,(e=>0===e))}}function measureToString(e){return"string"==typeof e?"0px":Number.isInteger(e)?`${e}px`:`${e.toFixed(2)}px`}const $o={anchorType(e,t){const a=e[Cs]();if(a&&(!a.layout||"position"===a.layout)){"transform"in t||(t.transform="");switch(e.anchorType){case"bottomCenter":t.transform+="translate(-50%, -100%)";break;case"bottomLeft"\
+:t.transform+="translate(0,-100%)";break;case"bottomRight":t.transform+="translate(-100%,-100%)";break;case"middleCenter":t.transform+="translate(-50%,-50%)";break;case"middleLeft":t.transform+="translate(0,-50%)";break;case"middleRight":t.transform+="translate(-100%,-50%)";break;case"topCenter":t.transform+="translate(-50%,0)";break;case"topRight":t.transform+="translate(-100%,0)"}}},dimensions(e,t){const a=e[Cs]();let r=e.w;const i=e.h;if(a.layout?.includes("row")){const t=a[ls],i=e.colSpan;le\
+t n;if(-1===i){n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn));t.currentColumn=0}else{n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn,t.currentColumn+i));t.currentColumn=(t.currentColumn+e.colSpan)%t.columnWidths.length}isNaN(n)||(r=e.w=n)}t.width=""!==r?measureToString(r):"auto";t.height=""!==i?measureToString(i):"auto"},position(e,t){const a=e[Cs]();if(!a?.layout||"position"===a.layout){t.position="absolute";t.left=measureToString(e.x);t.top=measureToString(e.y)}},rotate(e,t){i\
+f(e.rotate){"transform"in t||(t.transform="");t.transform+=`rotate(-${e.rotate}deg)`;t.transformOrigin="top left"}},presence(e,t){switch(e.presence){case"invisible":t.visibility="hidden";break;case"hidden":case"inactive":t.display="none"}},hAlign(e,t){if("para"===e[Ws])switch(e.hAlign){case"justifyAll":t.textAlign="justify-all";break;case"radix":t.textAlign="left";break;default:t.textAlign=e.hAlign}else switch(e.hAlign){case"left":t.alignSelf="start";break;case"center":t.alignSelf="center";break\
+;case"right":t.alignSelf="end"}},margin(e,t){e.margin&&(t.margin=e.margin[ho]().margin)}};function setMinMaxDimensions(e,t){if("position"===e[Cs]().layout){e.minW>0&&(t.minWidth=measureToString(e.minW));e.maxW>0&&(t.maxWidth=measureToString(e.maxW));e.minH>0&&(t.minHeight=measureToString(e.minH));e.maxH>0&&(t.maxHeight=measureToString(e.maxH))}}function layoutText(e,t,a,r,i,n){const s=new TextMeasure(t,a,r,i);"string"==typeof e?s.addString(e):e[Ks](s);return s.compute(n)}function layoutNode(e,t)\
+{let a=null,r=null,i=!1;if((!e.w||!e.h)&&e.value){let n=0,s=0;if(e.margin){n=e.margin.leftInset+e.margin.rightInset;s=e.margin.topInset+e.margin.bottomInset}let o=null,c=null;if(e.para){c=Object.create(null);o=""===e.para.lineHeight?null:e.para.lineHeight;c.top=""===e.para.spaceAbove?0:e.para.spaceAbove;c.bottom=""===e.para.spaceBelow?0:e.para.spaceBelow;c.left=""===e.para.marginLeft?0:e.para.marginLeft;c.right=""===e.para.marginRight?0:e.para.marginRight}let l=e.font;if(!l){const t=e[Fs]();let \
+a=e[vs]();for(;a&&a!==t;){if(a.font){l=a.font;break}a=a[vs]()}}const h=(e.w||t.width)-n,u=e[Is].fontFinder;if(e.value.exData&&e.value.exData[ss]&&"text/html"===e.value.exData.contentType){const t=layoutText(e.value.exData[ss],l,c,o,u,h);r=t.width;a=t.height;i=t.isBroken}else{const t=e.value[so]();if(t){const e=layoutText(t,l,c,o,u,h);r=e.width;a=e.height;i=e.isBroken}}null===r||e.w||(r+=n);null===a||e.h||(a+=s)}return{w:r,h:a,isBroken:i}}function computeBbox(e,t,a){let r;if(""!==e.w&&""!==e.h)r=\
+[e.x,e.y,e.w,e.h];else{if(!a)return null;let i=e.w;if(""===i){if(0===e.maxW){const t=e[Cs]();i="position"===t.layout&&""!==t.w?0:e.minW}else i=Math.min(e.maxW,a.width);t.attributes.style.width=measureToString(i)}let n=e.h;if(""===n){if(0===e.maxH){const t=e[Cs]();n="position"===t.layout&&""!==t.h?0:e.minH}else n=Math.min(e.maxH,a.height);t.attributes.style.height=measureToString(n)}r=[e.x,e.y,i,n]}return r}function fixDimensions(e){const t=e[Cs]();if(t.layout?.includes("row")){const a=t[ls],r=e.\
+colSpan;let i;i=-1===r?Math.sumPrecise(a.columnWidths.slice(a.currentColumn)):Math.sumPrecise(a.columnWidths.slice(a.currentColumn,a.currentColumn+r));isNaN(i)||(e.w=i)}t.layout&&"position"!==t.layout&&(e.x=e.y=0);"table"===e.layout&&""===e.w&&Array.isArray(e.columnWidths)&&(e.w=Math.sumPrecise(e.columnWidths))}function layoutClass(e){switch(e.layout){case"position":default:return"xfaPosition";case"lr-tb":return"xfaLrTb";case"rl-row":return"xfaRlRow";case"rl-tb":return"xfaRlTb";case"row":return"\
+xfaRow";case"table":return"xfaTable";case"tb":return"xfaTb"}}function toStyle(e,...t){const a=Object.create(null);for(const r of t){const t=e[r];if(null!==t)if($o.hasOwnProperty(r))$o[r](e,a);else if(t instanceof XFAObject){const e=t[ho]();e?Object.assign(a,e):warn(`(DEBUG) - XFA - style for ${r} not implemented yet`)}}return a}function createWrapper(e,t){const{attributes:a}=t,{style:r}=a,i={name:"div",attributes:{class:["xfaWrapper"],style:Object.create(null)},children:[]};a.class.push("xfaWrap\
+ped");if(e.border){const{widths:a,insets:n}=e.border[ls];let s,o,c=n[0],l=n[3];const h=n[0]+n[2],u=n[1]+n[3];switch(e.border.hand){case"even":c-=a[0]/2;l-=a[3]/2;s=`calc(100% + ${(a[1]+a[3])/2-u}px)`;o=`calc(100% + ${(a[0]+a[2])/2-h}px)`;break;case"left":c-=a[0];l-=a[3];s=`calc(100% + ${a[1]+a[3]-u}px)`;o=`calc(100% + ${a[0]+a[2]-h}px)`;break;case"right":s=u?`calc(100% - ${u}px)`:"100%";o=h?`calc(100% - ${h}px)`:"100%"}const d=["xfaBorder"];isPrintOnly(e.border)&&d.push("xfaPrintOnly");const f={\
+name:"div",attributes:{class:d,style:{top:`${c}px`,left:`${l}px`,width:s,height:o}},children:[]};for(const e of["border","borderWidth","borderColor","borderRadius","borderStyle"])if(void 0!==r[e]){f.attributes.style[e]=r[e];delete r[e]}i.children.push(f,t)}else i.children.push(t);for(const e of["background","backgroundClip","top","left","width","height","minWidth","minHeight","maxWidth","maxHeight","transform","transformOrigin","visibility"])if(void 0!==r[e]){i.attributes.style[e]=r[e];delete r[\
+e]}i.attributes.style.position="absolute"===r.position?"absolute":"relative";delete r.position;if(r.alignSelf){i.attributes.style.alignSelf=r.alignSelf;delete r.alignSelf}return i}function fixTextIndent(e){const t=getMeasurement(e.textIndent,"0px");if(t>=0)return;const a="padding"+("left"===("right"===e.textAlign?"right":"left")?"Left":"Right"),r=getMeasurement(e[a],"0px");e[a]=r-t+"px"}function setAccess(e,t){switch(e.access){case"nonInteractive":t.push("xfaNonInteractive");break;case"readOnly"\
+:t.push("xfaReadOnly");break;case"protected":t.push("xfaDisabled")}}function isPrintOnly(e){return e.relevant.length>0&&!e.relevant[0].excluded&&"print"===e.relevant[0].viewname}function getCurrentPara(e){const t=e[Fs]()[ls].paraStack;return t.length?t.at(-1):null}function setPara(e,t,a){if(a.attributes.class?.includes("xfaRich")){if(t){""===e.h&&(t.height="auto");""===e.w&&(t.width="auto")}const r=getCurrentPara(e);if(r){const e=a.attributes.style;e.display="flex";e.flexDirection="column";switc\
+h(r.vAlign){case"top":e.justifyContent="start";break;case"bottom":e.justifyContent="end";break;case"middle":e.justifyContent="center"}const t=r[ho]();for(const[a,r]of Object.entries(t))a in e||(e[a]=r)}}}function setFontFamily(e,t,a,r){if(!a){delete r.fontFamily;return}const i=stripQuotes(e.typeface);r.fontFamily=`"${i}"`;const n=a.find(i);if(n){const{fontFamily:a}=n.regular.cssFontInfo;a!==i&&(r.fontFamily=`"${a}"`);const s=getCurrentPara(t);if(s&&""!==s.lineHeight)return;if(r.lineHeight)return\
+;const o=selectFont(e,n);o&&(r.lineHeight=Math.max(1.2,o.lineHeight))}}function fixURL(e){const t=createValidAbsoluteUrl(e,null,{addDefaultProtocol:!0,tryConvertEncoding:!0});return t?t.href:null}function createLine(e,t){return{name:"div",attributes:{class:["lr-tb"===e.layout?"xfaLr":"xfaRl"]},children:t}}function flushHTML(e){if(!e[ls])return null;const t={name:"div",attributes:e[ls].attributes,children:e[ls].children};if(e[ls].failingNode){const a=e[ls].failingNode[us]();a&&(e.layout.endsWith(\
+"-tb")?t.children.push(createLine(e,[a])):t.children.push(a))}return 0===t.children.length?null:t}function addHTML(e,t,a){const r=e[ls],i=r.availableSpace,[n,s,o,c]=a;switch(e.layout){case"position":r.width=Math.max(r.width,n+o);r.height=Math.max(r.height,s+c);r.children.push(t);break;case"lr-tb":case"rl-tb":if(!r.line||1===r.attempt){r.line=createLine(e,[]);r.children.push(r.line);r.numberInLine=0}r.numberInLine+=1;r.line.children.push(t);if(0===r.attempt){r.currentWidth+=o;r.height=Math.max(r.\
+height,r.prevHeight+c)}else{r.currentWidth=o;r.prevHeight=r.height;r.height+=c;r.attempt=0}r.width=Math.max(r.width,r.currentWidth);break;case"rl-row":case"row":{r.children.push(t);r.width+=o;r.height=Math.max(r.height,c);const e=measureToString(r.height);for(const t of r.children)t.attributes.style.height=e;break}case"table":case"tb":r.width=MathClamp(o,r.width,i.width);r.height+=c;r.children.push(t)}}function getAvailableSpace(e){const t=e[ls].availableSpace,a=e.margin?e.margin.topInset+e.marg\
+in.bottomInset:0,r=e.margin?e.margin.leftInset+e.margin.rightInset:0;switch(e.layout){case"lr-tb":case"rl-tb":return 0===e[ls].attempt?{width:t.width-r-e[ls].currentWidth,height:t.height-a-e[ls].prevHeight}:{width:t.width-r,height:t.height-a-e[ls].height};case"rl-row":case"row":return{width:Math.sumPrecise(e[ls].columnWidths.slice(e[ls].currentColumn)),height:t.height-r};case"table":case"tb":return{width:t.width-r,height:t.height-a-e[ls].height};default:return t}}function checkDimensions(e,t){if\
+(null===e[Fs]()[ls].firstUnsplittable)return!0;if(0===e.w||0===e.h)return!0;const a=e[Cs](),r=a[ls]?.attempt||0,[,i,n,s]=function getTransformedBBox(e){let t,a,r=""===e.w?NaN:e.w,i=""===e.h?NaN:e.h,[n,s]=[0,0];switch(e.anchorType||""){case"bottomCenter":[n,s]=[r/2,i];break;case"bottomLeft":[n,s]=[0,i];break;case"bottomRight":[n,s]=[r,i];break;case"middleCenter":[n,s]=[r/2,i/2];break;case"middleLeft":[n,s]=[0,i/2];break;case"middleRight":[n,s]=[r,i/2];break;case"topCenter":[n,s]=[r/2,0];break;cas\
+e"topRight":[n,s]=[r,0]}switch(e.rotate||0){case 0:[t,a]=[-n,-s];break;case 90:[t,a]=[-s,n];[r,i]=[i,-r];break;case 180:[t,a]=[n,s];[r,i]=[-r,-i];break;case 270:[t,a]=[s,-n];[r,i]=[-i,r]}return[e.x+t+Math.min(0,r),e.y+a+Math.min(0,i),Math.abs(r),Math.abs(i)]}(e);switch(a.layout){case"lr-tb":case"rl-tb":return 0===r?e[Fs]()[ls].noLayoutFailure?""!==e.w?Math.round(n-t.width)<=2:t.width>2:!(""!==e.h&&Math.round(s-t.height)>2)&&(""!==e.w?Math.round(n-t.width)<=2||0===a[ls].numberInLine&&t.height>2:t\
+.width>2):!!e[Fs]()[ls].noLayoutFailure||!(""!==e.h&&Math.round(s-t.height)>2)&&((""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2);case"table":case"tb":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||e[js]()?(""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2:Math.round(s-t.height)<=2);case"position":if(e[Fs]()[ls].noLayoutFailure)return!0;if(""===e.h||Math.round(s+i-t.height)<=2)return!0;return s+i>e[Fs]()[ls].currentContentArea.h;case"rl-row":case"row":return!!e[Fs]()[ls].noLa\
+youtFailure||(""===e.h||Math.round(s-t.height)<=2);default:return!0}}const Go=go.template.id,Vo="http://www.w3.org/2000/svg",Ko=/^H(\\d+)$/,Jo=new Set(["image/gif","image/jpeg","image/jpg","image/pjpeg","image/png","image/apng","image/x-png","image/bmp","image/x-ms-bmp","image/tiff","image/tif","application/octet-stream"]),Yo=[[[66,77],"image/bmp"],[[255,216,255],"image/jpeg"],[[73,73,42,0],"image/tiff"],[[77,77,0,42],"image/tiff"],[[71,73,70,56,57,97],"image/gif"],[[137,80,78,71,13,10,26,10],"im\
+age/png"]];function getBorderDims(e){if(!e||!e.border)return{w:0,h:0};const t=e.border[ws]();return t?{w:t.widths[0]+t.widths[2]+t.insets[0]+t.insets[2],h:t.widths[1]+t.widths[3]+t.insets[1]+t.insets[3]}:{w:0,h:0}}function hasMargin(e){return e.margin&&(e.margin.topInset||e.margin.rightInset||e.margin.bottomInset||e.margin.leftInset)}function _setValue(e,t){if(!e.value){const t=new Value({});e[Qn](t);e.value=t}e.value[io](t)}function*getContainedChildren(e){for(const t of e[Ss]())t instanceof Su\
+bformSet?yield*t[As]():yield t}function isRequired(e){return"error"===e.validate?.nullTest}function setTabIndex(e){for(;e;){if(!e.traversal){e[no]=e[vs]()[no];return}if(e[no])return;let t=null;for(const a of e.traversal[Ss]())if("next"===a.operation){t=a;break}if(!t||!t.ref){e[no]=e[vs]()[no];return}const a=e[Fs]();e[no]=++a[no];const r=a[to](t.ref,e);if(!r)return;e=r[0]}}function applyAssist(e,t){const a=e.assist;if(a){const e=a[co]();e&&(t.title=e);const r=a.role.match(Ko);if(r){const e="headi\
+ng",a=r[1];t.role=e;t["aria-level"]=a}}if("table"===e.layout)t.role="table";else if("row"===e.layout)t.role="row";else{const a=e[vs]();"row"===a.layout&&(t.role="TH"===a.assist?.role?"columnheader":"cell")}}function ariaLabel(e){if(!e.assist)return null;const t=e.assist;return t.speak&&""!==t.speak[ss]?t.speak[ss]:t.toolTip?t.toolTip[ss]:null}function valueToHtml(e){return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:Object.create(null)},children:[{name:"span",attributes:{s\
+tyle:Object.create(null)},value:e}]})}function setFirstUnsplittable(e){const t=e[Fs]();if(null===t[ls].firstUnsplittable){t[ls].firstUnsplittable=e;t[ls].noLayoutFailure=!0}}function unsetFirstUnsplittable(e){const t=e[Fs]();t[ls].firstUnsplittable===e&&(t[ls].noLayoutFailure=!1)}function handleBreak(e){if(e[ls])return!1;e[ls]=Object.create(null);if("auto"===e.targetType)return!1;const t=e[Fs]();let a=null;if(e.target){a=t[to](e.target,e[vs]());if(!a)return!1;a=a[0]}const{currentPageArea:r,curre\
+ntContentArea:i}=t[ls];if("pageArea"===e.targetType){a instanceof PageArea||(a=null);if(e.startNew){e[ls].target=a||r;return!0}if(a&&a!==r){e[ls].target=a;return!0}return!1}a instanceof ContentArea||(a=null);const n=a&&a[vs]();let s,o=n;if(e.startNew)if(a){const e=n.contentArea.children,t=e.indexOf(i),r=e.indexOf(a);-1!==t&&t<r&&(o=null);s=r-1}else s=r.contentArea.children.indexOf(i);else{if(!a||a===i)return!1;s=n.contentArea.children.indexOf(a)-1;o=n===r?null:n}e[ls].target=o;e[ls].index=s;retu\
+rn!0}function handleOverflow(e,t,a){const r=e[Fs](),i=r[ls].noLayoutFailure,n=t[Cs];t[Cs]=()=>e;r[ls].noLayoutFailure=!0;const s=t[co](a);e[Zn](s.html,s.bbox);r[ls].noLayoutFailure=i;t[Cs]=n}class AppearanceFilter extends StringObject{constructor(e){super(Go,"appearanceFilter");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Arc extends XFAObject{constructor(e){super(Go,"arc",!0);this.circular=getInteger({data:e.circ\
+ular,defaultValue:0,validate:e=>1===e});this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.startAngle=getFloat({data:e.startAngle,defaultValue:0,validate:e=>!0});this.sweepAngle=getFloat({data:e.sweepAngle,defaultValue:360,validate:e=>!0});this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null;this.fill=null}[co](){const e=this.edge||new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent\
+";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;let r;const i={xmlns:Vo,style:{width:"100%",height:"100%",overflow:"visible"}};if(360===this.sweepAngle)r={name:"ellipse",attributes:{xmlns:Vo,cx:"50%",cy:"50%",rx:"50%",ry:"50%",style:a}};else{const e=this.startAngle*Math.PI/180,t=this.sweepAngle*Math.PI/180,n=this.sweepAngle>180?1:0,[s,o,c,l]=[50*(1+Math.cos(e)),50*(1-Math.sin(e)),50*(1+Math.cos(e+t)),50*(1-Math.sin(e+t))];r={name:"path",attributes:{xmlns:Vo\
+,d:`M ${s} ${o} A 50 50 0 ${n} 0 ${c} ${l}`,vectorEffect:"non-scaling-stroke",style:a}};Object.assign(i,{viewBox:"0 0 100 100",preserveAspectRatio:"none"})}const n={name:"svg",children:[r],attributes:i};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[n]});n.attributes.style.position="absolute";return HTMLResult.success(n)}}class Area extends XFAObject{constructor(e){super(Go,"area",!0);this.colSpan=ge\
+tInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null;this.area=new XFAObjectArray;this.draw=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObj\
+ectArray}*[As](){yield*getContainedChildren(this)}[Us](){return!0}[Rs](){return!0}[Zn](e,t){const[a,r,i,n]=t;this[ls].width=Math.max(this[ls].width,a+i);this[ls].height=Math.max(this[ls].height,r+n);this[ls].children.push(e)}[gs](){return this[ls].availableSpace}[co](e){const t=toStyle(this,"position"),a={style:t,id:this[uo],class:["xfaArea"]};isPrintOnly(this)&&a.class.push("xfaPrintOnly");this.name&&(a.xfaName=this.name);const r=[];this[ls]={children:r,width:0,height:0,availableSpace:e};const \
+i=this[es]({filter:new Set(["area","draw","field","exclGroup","subform","subformSet"]),include:!0});if(!i.success){if(i.isBreak())return i;delete this[ls];return HTMLResult.FAILURE}t.width=measureToString(this[ls].width);t.height=measureToString(this[ls].height);const n={name:"div",attributes:a,children:r},s=[this.x,this.y,this[ls].width,this[ls].height];delete this[ls];return HTMLResult.success(n,s)}}class Assist extends XFAObject{constructor(e){super(Go,"assist",!0);this.id=e.id||"";this.role=\
+e.role||"";this.use=e.use||"";this.usehref=e.usehref||"";this.speak=null;this.toolTip=null}[co](){return this.toolTip?.[ss]||null}}class Barcode extends XFAObject{constructor(e){super(Go,"barcode",!0);this.charEncoding=getKeyword({data:e.charEncoding?e.charEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.checksum=getStringOption(e.checks\
+um,["none","1mod10","1mod10_1mod11","2mod10","auto"]);this.dataColumnCount=getInteger({data:e.dataColumnCount,defaultValue:-1,validate:e=>e>=0});this.dataLength=getInteger({data:e.dataLength,defaultValue:-1,validate:e=>e>=0});this.dataPrep=getStringOption(e.dataPrep,["none","flateCompress"]);this.dataRowCount=getInteger({data:e.dataRowCount,defaultValue:-1,validate:e=>e>=0});this.endChar=e.endChar||"";this.errorCorrectionLevel=getInteger({data:e.errorCorrectionLevel,defaultValue:-1,validate:e=>e\
+>=0&&e<=8});this.id=e.id||"";this.moduleHeight=getMeasurement(e.moduleHeight,"5mm");this.moduleWidth=getMeasurement(e.moduleWidth,"0.25mm");this.printCheckDigit=getInteger({data:e.printCheckDigit,defaultValue:0,validate:e=>1===e});this.rowColumnRatio=getRatio(e.rowColumnRatio);this.startChar=e.startChar||"";this.textLocation=getStringOption(e.textLocation,["below","above","aboveEmbedded","belowEmbedded","none"]);this.truncate=getInteger({data:e.truncate,defaultValue:0,validate:e=>1===e});this.ty\
+pe=getStringOption(e.type?e.type.toLowerCase():"",["aztec","codabar","code2of5industrial","code2of5interleaved","code2of5matrix","code2of5standard","code3of9","code3of9extended","code11","code49","code93","code128","code128a","code128b","code128c","code128sscc","datamatrix","ean8","ean8add2","ean8add5","ean13","ean13add2","ean13add5","ean13pwcd","fim","logmars","maxicode","msi","pdf417","pdf417macro","plessey","postauscust2","postauscust3","postausreplypaid","postausstandard","postukrm4scc","pos\
+tusdpbc","postusimb","postusstandard","postus5zip","qrcode","rfid","rss14","rss14expanded","rss14limited","rss14stacked","rss14stackedomni","rss14truncated","telepen","ucc128","ucc128random","ucc128sscc","upca","upcaadd2","upcaadd5","upcapwcd","upce","upceadd2","upceadd5","upcean2","upcean5","upsmaxicode"]);this.upsMode=getStringOption(e.upsMode,["usCarrier","internationalCarrier","secureSymbol","standardSymbol"]);this.use=e.use||"";this.usehref=e.usehref||"";this.wideNarrowRatio=getRatio(e.wide\
+NarrowRatio);this.encrypt=null;this.extras=null}}class Bind extends XFAObject{constructor(e){super(Go,"bind",!0);this.match=getStringOption(e.match,["once","dataRef","global","none"]);this.ref=e.ref||"";this.picture=null}}class BindItems extends XFAObject{constructor(e){super(Go,"bindItems");this.connection=e.connection||"";this.labelRef=e.labelRef||"";this.ref=e.ref||"";this.valueRef=e.valueRef||""}}class Bookend extends XFAObject{constructor(e){super(Go,"bookend");this.id=e.id||"";this.leader=\
+e.leader||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}}class BooleanElement extends Option01{constructor(e){super(Go,"boolean");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[co](e){return valueToHtml(1===this[ss]?"1":"0")}}class Border extends XFAObject{constructor(e){super(Go,"border",!0);this.break=getStringOption(e.break,["close","open"]);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.prese\
+nce=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.extras=null;this.fill=null;this.margin=null}[ws](){if(!this[ls]){const e=this.edge.children.slice();if(e.length<4){const t=e.at(-1)||new Edge({});for(let a=e.length;a<4;a++)e.push(t)}const t=e.map((e=>e.thickness)),a=[0,0,0,0];if(this.margin){a[0]=this.margin.topInset;\
+a[1]=this.margin.rightInset;a[2]=this.margin.bottomInset;a[3]=this.margin.leftInset}this[ls]={widths:t,insets:a,edges:e}}return this[ls]}[ho](){const{edges:e}=this[ws](),t=e.map((e=>{const t=e[ho]();t.color||="#000000";return t})),a=Object.create(null);this.margin&&Object.assign(a,this.margin[ho]());"visible"===this.fill?.presence&&Object.assign(a,this.fill[ho]());if(this.corner.children.some((e=>0!==e.radius))){const e=this.corner.children.map((e=>e[ho]()));if(2===e.length||3===e.length){const \
+t=e.at(-1);for(let a=e.length;a<4;a++)e.push(t)}a.borderRadius=e.map((e=>e.radius)).join(" ")}switch(this.presence){case"invisible":case"hidden":a.borderStyle="";break;case"inactive":a.borderStyle="none";break;default:a.borderStyle=t.map((e=>e.style)).join(" ")}a.borderWidth=t.map((e=>e.width)).join(" ");a.borderColor=t.map((e=>e.color)).join(" ");return a}}class Break extends XFAObject{constructor(e){super(Go,"break",!0);this.after=getStringOption(e.after,["auto","contentArea","pageArea","pageE\
+ven","pageOdd"]);this.afterTarget=e.afterTarget||"";this.before=getStringOption(e.before,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.beforeTarget=e.beforeTarget||"";this.bookendLeader=e.bookendLeader||"";this.bookendTrailer=e.bookendTrailer||"";this.id=e.id||"";this.overflowLeader=e.overflowLeader||"";this.overflowTarget=e.overflowTarget||"";this.overflowTrailer=e.overflowTrailer||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.use=e.use||"";\
+this.usehref=e.usehref||"";this.extras=null}}class BreakAfter extends XFAObject{constructor(e){super(Go,"breakAfter",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}}class BreakBefore extends XFAObject{constructor(e){super(Go,"bre\
+akBefore",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}[co](e){this[ls]={};return HTMLResult.FAILURE}}class Button extends XFAObject{constructor(e){super(Go,"button",!0);this.highlight=getStringOption(e.highlight,["inverted","n\
+one","outline","push"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[co](e){const t=this[vs]()[vs](),a={name:"button",attributes:{id:this[uo],class:["xfaButton"],style:{}},children:[]};for(const e of t.event.children){if("click"!==e.activity||!e.script)continue;const t=recoverJsURL(e.script[ss]);if(!t)continue;const r=fixURL(t.url);r&&a.children.push({name:"a",attributes:{id:"link"+this[uo],href:r,newWindow:t.newWindow,class:["xfaLink"],style:{}},children:[]})\
+}return HTMLResult.success(a)}}class Calculate extends XFAObject{constructor(e){super(Go,"calculate",!0);this.id=e.id||"";this.override=getStringOption(e.override,["disabled","error","ignore","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.script=null}}class Caption extends XFAObject{constructor(e){super(Go,"caption",!0);this.id=e.id||"";this.placement=getStringOption(e.placement,["left","bottom","inline","right","top"]);this.presence=getStringOp\
+tion(e.presence,["visible","hidden","inactive","invisible"]);this.reserve=Math.ceil(getMeasurement(e.reserve));this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.font=null;this.margin=null;this.para=null;this.value=null}[io](e){_setValue(this,e)}[ws](e){if(!this[ls]){let{width:t,height:a}=e;switch(this.placement){case"left":case"right":case"inline":t=this.reserve<=0?t:this.reserve;break;case"top":case"bottom":a=this.reserve<=0?a:this.reserve}this[ls]=layoutNode(this,{width:t,hei\
+ght:a})}return this[ls]}[co](e){if(!this.value)return HTMLResult.EMPTY;this[Ys]();const t=this.value[co](e).html;if(!t){this[Js]();return HTMLResult.EMPTY}const a=this.reserve;if(this.reserve<=0){const{w:t,h:a}=this[ws](e);switch(this.placement){case"left":case"right":case"inline":this.reserve=t;break;case"top":case"bottom":this.reserve=a}}const r=[];"string"==typeof t?r.push({name:"#text",value:t}):r.push(t);const i=toStyle(this,"font","margin","visibility");switch(this.placement){case"left":ca\
+se"right":this.reserve>0&&(i.width=measureToString(this.reserve));break;case"top":case"bottom":this.reserve>0&&(i.height=measureToString(this.reserve))}setPara(this,null,t);this[Js]();this.reserve=a;return HTMLResult.success({name:"div",attributes:{style:i,class:["xfaCaption"]},children:r})}}class Certificate extends StringObject{constructor(e){super(Go,"certificate");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Certificates extends XFAObject{constru\
+ctor(e){super(Go,"certificates",!0);this.credentialServerPolicy=getStringOption(e.credentialServerPolicy,["optional","required"]);this.id=e.id||"";this.url=e.url||"";this.urlPolicy=e.urlPolicy||"";this.use=e.use||"";this.usehref=e.usehref||"";this.encryption=null;this.issuers=null;this.keyUsage=null;this.oids=null;this.signing=null;this.subjectDNs=null}}class CheckButton extends XFAObject{constructor(e){super(Go,"checkButton",!0);this.id=e.id||"";this.mark=getStringOption(e.mark,["default","chec\
+k","circle","cross","diamond","square","star"]);this.shape=getStringOption(e.shape,["square","round"]);this.size=getMeasurement(e.size,"10pt");this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"margin"),a=measureToString(this.size);t.width=t.height=a;let r,i,n;const s=this[vs]()[vs](),o=s.items.children.length&&s.items.children[0][co]().html||[],c={on:(void 0!==o[0]?o[0]:"on").toString(),off:(void 0!==o[1]?o[1]:"off").to\
+String()},l=(s.value?.[so]()||"off")===c.on||void 0,h=s[Cs](),u=s[uo];let d;if(h instanceof ExclGroup){n=h[uo];r="radio";i="xfaRadio";d=h[os]?.[uo]||h[uo]}else{r="checkbox";i="xfaCheckbox";d=s[os]?.[uo]||s[uo]}const f={name:"input",attributes:{class:[i],style:t,fieldId:u,dataId:d,type:r,checked:l,xfaOn:c.on,xfaOff:c.off,"aria-label":ariaLabel(s),"aria-required":!1}};n&&(f.attributes.name=n);if(isRequired(s)){f.attributes["aria-required"]=!0;f.attributes.required=!0}return HTMLResult.success({nam\
+e:"label",attributes:{class:["xfaLabel"]},children:[f]})}}class ChoiceList extends XFAObject{constructor(e){super(Go,"choiceList",!0);this.commitOn=getStringOption(e.commitOn,["select","exit"]);this.id=e.id||"";this.open=getStringOption(e.open,["userControl","always","multiSelect","onEntry"]);this.textEntry=getInteger({data:e.textEntry,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"\
+border","margin"),a=this[vs]()[vs](),r={fontSize:`calc(${a.font?.size||10}px * var(--total-scale-factor))`},i=[];if(a.items.children.length>0){const e=a.items;let t=0,n=0;if(2===e.children.length){t=e.children[0].save;n=1-t}const s=e.children[t][co]().html,o=e.children[n][co]().html;let c=!1;const l=a.value?.[so]()||"";for(let e=0,t=s.length;e<t;e++){const t={name:"option",attributes:{value:o[e]||s[e],style:r},value:s[e]};o[e]===l&&(t.attributes.selected=c=!0);i.push(t)}c||i.splice(0,0,{name:"op\
+tion",attributes:{hidden:!0,selected:!0},value:" "})}const n={class:["xfaSelect"],fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],style:t,"aria-label":ariaLabel(a),"aria-required":!1};if(isRequired(a)){n["aria-required"]=!0;n.required=!0}"multiSelect"===this.open&&(n.multiple=!0);return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[{name:"select",children:i,attributes:n}]})}}class Color extends XFAObject{constructor(e){super(Go,"color",!0);this.cSpace=getStringOption(e.cSpac\
+e,["SRGB"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.value=e.value?function getColor(e,t=[0,0,0]){let[a,r,i]=t;if(!e)return{r:a,g:r,b:i};const n=e.split(",",3).map((e=>MathClamp(parseInt(e.trim(),10),0,255))).map((e=>isNaN(e)?0:e));if(n.length<3)return{r:a,g:r,b:i};[a,r,i]=n;return{r:a,g:r,b:i}}(e.value):"";this.extras=null}[Ts](){return!1}[ho](){return this.value?Util.makeHexColor(this.value.r,this.value.g,this.value.b):null}}class Comb extends XFAObject{constructor(e\
+){super(Go,"comb");this.id=e.id||"";this.numberOfCells=getInteger({data:e.numberOfCells,defaultValue:0,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||""}}class Connect extends XFAObject{constructor(e){super(Go,"connect",!0);this.connection=e.connection||"";this.id=e.id||"";this.ref=e.ref||"";this.usage=getStringOption(e.usage,["exportAndImport","exportOnly","importOnly"]);this.use=e.use||"";this.usehref=e.usehref||"";this.picture=null}}class ContentArea extends XFAObject{construct\
+or(e){super(Go,"contentArea",!0);this.h=getMeasurement(e.h);this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=getMeasurement(e.w);this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null}[co](e){const t={left:measureToString(this.x),top:measureToString(this.y),width:measureToString(this.w),height:measureToString(this.h)},a=["xfaContentarea"];isPrintOnly(this)&&a.push("xfaPrintO\
+nly");return HTMLResult.success({name:"div",children:[],attributes:{style:t,class:a,id:this[uo]}})}}class Corner extends XFAObject{constructor(e){super(Go,"corner",!0);this.id=e.id||"";this.inverted=getInteger({data:e.inverted,defaultValue:0,validate:e=>1===e});this.join=getStringOption(e.join,["square","round"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.radius=getMeasurement(e.radius);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashD\
+otDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");e.radius=measureToString("square"===this.join?0:this.radius);return e}}class DateElement extends ContentObject{constructor(e){super(Go,"date");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this\
+[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTime extends ContentObject{constructor(e){super(Go,"dateTime");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTimeEdit extends XFAObject{constructor(e){super(Go,"dateTimeEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto"\
+,"off","on"]);this.id=e.id||"";this.picker=getStringOption(e.picker,["host","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.require\
+d=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Decimal extends ContentObject{constructor(e){super(Go,"decimal");this.fracDigits=getInteger({data:e.fracDigits,defaultValue:2,validate:e=>!0});this.id=e.id||"";this.leadDigits=getInteger({data:e.leadDigits,defaultValue:-1,validate:e=>!0});this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(\
+null!==this[ss]?this[ss].toString():"")}}class DefaultUi extends XFAObject{constructor(e){super(Go,"defaultUi",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class Desc extends XFAObject{constructor(e){super(Go,"desc",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAOb\
+jectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class DigestMethod extends OptionObject{constructor(e){super(Go,"digestMethod",["","SHA1","SHA256","SHA512","RIPEMD160"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class DigestMethods extends XFAObject{constructor(e){super(Go,"digestMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.us\
+ehref=e.usehref||"";this.digestMethod=new XFAObjectArray}}class Draw extends XFAObject{constructor(e){super(Go,"draw",!0);this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);th\
+is.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this\
+.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.border=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.value=null;this.setProperty=new XFAObjectArray}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;fixDimensions(this);this[Ys]();const t=this.w,a=this.h,{w:r,h:i,isBroken:n}\
+=layoutNode(this,e);if(r&&""===this.w){if(n&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}this.w=r}i&&""===this.h&&(this.h=i);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=t;this.h=a;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const s=toStyle(this,"font","hAlign","dimensions","position","presence","rotate","anchorType","border","margin");setMinMaxDimensions(this,s);if(s.margin){s.padding=s.margin;delete s.margin}const o=["xfaDraw"];this.font&&o.pu\
+sh("xfaFont");isPrintOnly(this)&&o.push("xfaPrintOnly");const c={style:s,id:this[uo],class:o};this.name&&(c.xfaName=this.name);const l={name:"div",attributes:c,children:[]};applyAssist(this,c);const h=computeBbox(this,l,e),u=this.value?this.value[co](e).html:null;if(null===u){this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}l.children.push(u);setPara(this,s,u);this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}}class Edge extends XFAObj\
+ect{constructor(e){super(Go,"edge",!0);this.cap=getStringOption(e.cap,["square","butt","round"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");\
+Object.assign(e,{linecap:this.cap,width:measureToString(this.thickness),color:this.color?this.color[ho]():"#000000",style:""});if("visible"!==this.presence)e.style="none";else switch(this.stroke){case"solid":e.style="solid";break;case"dashDot":case"dashDotDot":case"dashed":e.style="dashed";break;case"dotted":e.style="dotted";break;case"embossed":e.style="ridge";break;case"etched":e.style="groove";break;case"lowered":e.style="inset";break;case"raised":e.style="outset"}return e}}class Encoding ext\
+ends OptionObject{constructor(e){super(Go,"encoding",["adbe.x509.rsa_sha1","adbe.pkcs7.detached","adbe.pkcs7.sha1"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Encodings extends XFAObject{constructor(e){super(Go,"encodings",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encoding=new XFAObjectArray}}class Encrypt extends XFAObject{constructor(e){super(Go,"encrypt",!0);this.id=e.id||"";thi\
+s.use=e.use||"";this.usehref=e.usehref||"";this.certificate=null}}class EncryptData extends XFAObject{constructor(e){super(Go,"encryptData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["encrypt","decrypt"]);this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Encryption extends XFAObject{constructor(e){super(Go,"encryption",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use\
+||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class EncryptionMethod extends OptionObject{constructor(e){super(Go,"encryptionMethod",["","AES256-CBC","TRIPLEDES-CBC","AES128-CBC","AES192-CBC"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EncryptionMethods extends XFAObject{constructor(e){super(Go,"encryptionMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.enc\
+ryptionMethod=new XFAObjectArray}}class Event extends XFAObject{constructor(e){super(Go,"event",!0);this.activity=getStringOption(e.activity,["click","change","docClose","docReady","enter","exit","full","indexChange","initialize","mouseDown","mouseEnter","mouseExit","mouseUp","postExecute","postOpen","postPrint","postSave","postSign","postSubmit","preExecute","preOpen","prePrint","preSave","preSign","preSubmit","ready","validationState"]);this.id=e.id||"";this.listen=getStringOption(e.listen,["r\
+efOnly","refAndDescendents"]);this.name=e.name||"";this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.encryptData=null;this.execute=null;this.script=null;this.signData=null;this.submit=null}}class ExData extends ContentObject{constructor(e){super(Go,"exData");this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.maxLength=getInteger({data:e.maxLength,defaultValue:-1,validate:e=>e>=-1});this.name=e.name||"";this.rid=e.rid||"";this.transf\
+erEncoding=getStringOption(e.transferEncoding,["none","base64","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[Bs](){return"text/html"===this.contentType}[$s](e){if("text/html"===this.contentType&&e[Hs]===go.xhtml.id){this[ss]=e;return!0}if("text/xml"===this.contentType){this[ss]=e;return!0}return!1}[co](e){return"text/html"===this.contentType&&this[ss]?this[ss][co](e):HTMLResult.EMPTY}}class ExObject extends XFAObject{constructor(e){super(Go,"exObject",!0);this.archive=e.archive||"";\
+this.classId=e.classId||"";this.codeBase=e.codeBase||"";this.codeType=e.codeType||"";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;thi\
+s.time=new XFAObjectArray}}class ExclGroup extends XFAObject{constructor(e){super(Go,"exclGroup",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";\
+this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.re\
+levant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.margin=null;this.para=null;this.traversal=null;this.validate=null;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.field=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[Ts](){retur\
+n!0}[io](e){for(const t of this.field.children){if(!t.value){const e=new Value({});t[Qn](e);t.value=e}t.value[io](e)}}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]\
+._isSplittable=!0;return!0}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,attributes:a,attempt:0,line:null,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),h\
+eight:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[js]();r||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const i=new Set(["field"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const n=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),s=["xfaExclgroup"],o=layoutClass(this);o&\
+&s.push(o);isPrintOnly(this)&&s.push("xfaPrintOnly");a.style=n;a.class=s;this.name&&(a.xfaName=this.name);this[Ys]();const c="lr-tb"===this.layout||"rl-tb"===this.layout,l=c?2:1;for(;this[ls].attempt<l;this[ls].attempt++){c&&1===this[ls].attempt&&(this[ls].numberInLine=0);const e=this[es]({filter:i,include:!0});if(e.success)break;if(e.isBreak()){this[Js]();return e}if(c&&0===this[ls].attempt&&0===this[ls].numberInLine&&!this[Fs]()[ls].noLayoutFailure){this[ls].attempt=l;break}}this[Js]();r||unse\
+tFirstUnsplittable(this);if(this[ls].attempt===l){r||delete this[ls];return HTMLResult.FAILURE}let h=0,u=0;if(this.margin){h=this.margin.leftInset+this.margin.rightInset;u=this.margin.topInset+this.margin.bottomInset}const d=Math.max(this[ls].width+h,this.w||0),f=Math.max(this[ls].height+u,this.h||0),g=[this.x,this.y,d,f];""===this.w&&(n.width=measureToString(d));""===this.h&&(n.height=measureToString(f));const p={name:"div",attributes:a,children:t};applyAssist(this,a);delete this[ls];return HTM\
+LResult.success(createWrapper(this,p),g)}}class Execute extends XFAObject{constructor(e){super(Go,"execute");this.connection=e.connection||"";this.executeType=getStringOption(e.executeType,["import","remerge"]);this.id=e.id||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Extras extends XFAObject{constructor(e){super(Go,"extras",!0);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boole\
+an=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.extras=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class Field extends XFAObject{constructor(e){super(Go,"field",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.a\
+ccessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.max\
+W,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=nul\
+l;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.format=null;this.items=new XFAObjectArray(2);this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.validate=null;this.value=null;this.bindItems=new XFAObjectArray;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if(!this.ui){this.ui=new Ui({});this.ui[Is]=this\
+[Is];this[Qn](this.ui);let e;switch(this.items.children.length){case 0:e=new TextEdit({});this.ui.textEdit=e;break;case 1:e=new CheckButton({});this.ui.checkButton=e;break;case 2:e=new ChoiceList({});this.ui.choiceList=e}this.ui[Qn](e)}if(!this.ui||"hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;this.caption&&delete this.caption[ls];this[Ys]();const t=this.caption?this.caption[co](e).html:null,a=this.w,r=this.h;let i=0,n=0;if(this.margin){i=th\
+is.margin.leftInset+this.margin.rightInset;n=this.margin.topInset+this.margin.bottomInset}let s=null;if(""===this.w||""===this.h){let t=null,a=null,r=0,o=0;if(this.ui.checkButton)r=o=this.ui.checkButton.size;else{const{w:t,h:a}=layoutNode(this,e);if(null!==t){r=t;o=a}else o=function fonts_getMetrics(e,t=!1){let a=null;if(e){const t=stripQuotes(e.typeface),r=e[Is].fontFinder.find(t);a=selectFont(e,r)}if(!a)return{lineHeight:12,lineGap:2,lineNoGap:10};const r=e.size||10,i=a.lineHeight?Math.max(t?0\
+:1.2,a.lineHeight):1.2,n=void 0===a.lineGap?.2:a.lineGap;return{lineHeight:i*r,lineGap:n*r,lineNoGap:Math.max(1,i-n)*r}}(this.font,!0).lineNoGap}s=getBorderDims(this.ui[ws]());r+=s.w;o+=s.h;if(this.caption){const{w:i,h:n,isBroken:s}=this.caption[ws](e);if(s&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}t=i;a=n;switch(this.caption.placement){case"left":case"right":case"inline":t+=r;break;case"top":case"bottom":a+=o}}else{t=r;a=o}if(t&&""===this.w){t+=i;this.w=Math.min(this.maxW<=0?1/0:t\
+his.maxW,this.minW+1<t?t:this.minW)}if(a&&""===this.h){a+=n;this.h=Math.min(this.maxH<=0?1/0:this.maxH,this.minH+1<a?a:this.minH)}}this[Js]();fixDimensions(this);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=a;this.h=r;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const o=toStyle(this,"font","dimensions","position","rotate","anchorType","presence","margin","hAlign");setMinMaxDimensions(this,o);const c=["xfaField"];this.font&&c.push("xfaFont");isPrintOnly(this\
+)&&c.push("xfaPrintOnly");const l={style:o,id:this[uo],class:c};if(o.margin){o.padding=o.margin;delete o.margin}setAccess(this,c);this.name&&(l.xfaName=this.name);const h=[],u={name:"div",attributes:l,children:h};applyAssist(this,l);const d=this.border?this.border[ho]():null,f=computeBbox(this,u,e),g=this.ui[co]().html;if(!g){Object.assign(o,d);return HTMLResult.success(createWrapper(this,u),f)}this[no]&&(g.children?.[0]?g.children[0].attributes.tabindex=this[no]:g.attributes.tabindex=this[no]);\
+g.attributes.style||=Object.create(null);let p=null;if(this.ui.button){1===g.children.length&&([p]=g.children.splice(0,1));Object.assign(g.attributes.style,d)}else Object.assign(o,d);h.push(g);if(this.value)if(this.ui.imageEdit)g.children.push(this.value[co]().html);else if(!this.ui.button){let e="";if(this.value.exData)e=this.value.exData[so]();else if(this.value.text)e=this.value.text[ws]();else{const t=this.value[co]().html;null!==t&&(e=t.children[0].value)}this.ui.textEdit&&this.value.text?.\
+maxChars&&(g.children[0].attributes.maxLength=this.value.text.maxChars);if(e){if(this.ui.numericEdit){e=parseFloat(e);e=isNaN(e)?"":e.toString()}"textarea"===g.children[0].name?g.children[0].attributes.textContent=e:g.children[0].attributes.value=e}}if(!this.ui.imageEdit&&g.children?.[0]&&this.h){s=s||getBorderDims(this.ui[ws]());let t=0;if(this.caption&&["top","bottom"].includes(this.caption.placement)){t=this.caption.reserve;t<=0&&(t=this.caption[ws](e).h);const a=this.h-t-n-s.h;g.children[0].\
+attributes.style.height=measureToString(a)}else g.children[0].attributes.style.height="100%"}p&&g.children.push(p);if(!t){g.attributes.class&&g.attributes.class.push("xfaLeft");this.w=a;this.h=r;return HTMLResult.success(createWrapper(this,u),f)}if(this.ui.button){o.padding&&delete o.padding;"div"===t.name&&(t.name="span");g.children.push(t);return HTMLResult.success(u,f)}this.ui.checkButton&&(t.attributes.class[0]="xfaCaptionForCheckButton");g.attributes.class||=[];g.children.splice(0,0,t);swit\
+ch(this.caption.placement){case"left":case"inline":g.attributes.class.push("xfaLeft");break;case"right":g.attributes.class.push("xfaRight");break;case"top":g.attributes.class.push("xfaTop");break;case"bottom":g.attributes.class.push("xfaBottom")}this.w=a;this.h=r;return HTMLResult.success(createWrapper(this,u),f)}}class Fill extends XFAObject{constructor(e){super(Go,"fill",!0);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.use=e.use||"\
+";this.usehref=e.usehref||"";this.color=null;this.extras=null;this.linear=null;this.pattern=null;this.radial=null;this.solid=null;this.stipple=null}[ho](){const e=this[vs](),t=e[vs]()[vs](),a=Object.create(null);let r="color",i=r;if(e instanceof Border){r="background-color";i="background";t instanceof Ui&&(a.backgroundColor="white")}if(e instanceof Rectangle||e instanceof Arc){r=i="fill";a.fill="white"}for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"color"===e)continue;const t\
+=this[e];if(!(t instanceof XFAObject))continue;const n=t[ho](this.color);n&&(a[n.startsWith("#")?r:i]=n);return a}if(this.color?.value){const e=this.color[ho]();a[e.startsWith("#")?r:i]=e}return a}}class Filter extends XFAObject{constructor(e){super(Go,"filter",!0);this.addRevocationInfo=getStringOption(e.addRevocationInfo,["","required","optional","none"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.version=getInteger({data:this.version,defaultValue:\
+5,validate:e=>e>=1&&e<=5});this.appearanceFilter=null;this.certificates=null;this.digestMethods=null;this.encodings=null;this.encryptionMethods=null;this.handler=null;this.lockDocument=null;this.mdp=null;this.reasons=null;this.timeStamp=null}}class Float extends ContentObject{constructor(e){super(Go,"float");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this\
+[ss]?this[ss].toString():"")}}class template_Font extends XFAObject{constructor(e){super(Go,"font",!0);this.baselineShift=getMeasurement(e.baselineShift);this.fontHorizontalScale=getFloat({data:e.fontHorizontalScale,defaultValue:100,validate:e=>e>=0});this.fontVerticalScale=getFloat({data:e.fontVerticalScale,defaultValue:100,validate:e=>e>=0});this.id=e.id||"";this.kerningMode=getStringOption(e.kerningMode,["none","pair"]);this.letterSpacing=getMeasurement(e.letterSpacing,"0");this.lineThrough=g\
+etInteger({data:e.lineThrough,defaultValue:0,validate:e=>1===e||2===e});this.lineThroughPeriod=getStringOption(e.lineThroughPeriod,["all","word"]);this.overline=getInteger({data:e.overline,defaultValue:0,validate:e=>1===e||2===e});this.overlinePeriod=getStringOption(e.overlinePeriod,["all","word"]);this.posture=getStringOption(e.posture,["normal","italic"]);this.size=getMeasurement(e.size,"10pt");this.typeface=e.typeface||"Courier";this.underline=getInteger({data:e.underline,defaultValue:0,valid\
+ate:e=>1===e||2===e});this.underlinePeriod=getStringOption(e.underlinePeriod,["all","word"]);this.use=e.use||"";this.usehref=e.usehref||"";this.weight=getStringOption(e.weight,["normal","bold"]);this.extras=null;this.fill=null}[ts](e){super[ts](e);this[Is].usedTypefaces.add(this.typeface)}[ho](){const e=toStyle(this,"fill"),t=e.color;if(t)if("#000000"===t)delete e.color;else if(!t.startsWith("#")){e.background=t;e.backgroundClip="text";e.color="transparent"}this.baselineShift&&(e.verticalAlign=m\
+easureToString(this.baselineShift));e.fontKerning="none"===this.kerningMode?"none":"normal";e.letterSpacing=measureToString(this.letterSpacing);if(0!==this.lineThrough){e.textDecoration="line-through";2===this.lineThrough&&(e.textDecorationStyle="double")}if(0!==this.overline){e.textDecoration="overline";2===this.overline&&(e.textDecorationStyle="double")}e.fontStyle=this.posture;e.fontSize=measureToString(.99*this.size);setFontFamily(this,this,this[Is].fontFinder,e);if(0!==this.underline){e.tex\
+tDecoration="underline";2===this.underline&&(e.textDecorationStyle="double")}e.fontWeight=this.weight;return e}}class Format extends XFAObject{constructor(e){super(Go,"format",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null}}class Handler extends StringObject{constructor(e){super(Go,"handler");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Hyphenation extends XFA\
+Object{constructor(e){super(Go,"hyphenation");this.excludeAllCaps=getInteger({data:e.excludeAllCaps,defaultValue:0,validate:e=>1===e});this.excludeInitialCap=getInteger({data:e.excludeInitialCap,defaultValue:0,validate:e=>1===e});this.hyphenate=getInteger({data:e.hyphenate,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.pushCharacterCount=getInteger({data:e.pushCharacterCount,defaultValue:3,validate:e=>e>=0});this.remainCharacterCount=getInteger({data:e.remainCharacterCount,defaultValue\
+:3,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||"";this.wordCharacterCount=getInteger({data:e.wordCharacterCount,defaultValue:7,validate:e=>e>=0})}}class Image extends StringObject{constructor(e){super(Go,"image");this.aspect=getStringOption(e.aspect,["fit","actual","height","none","width"]);this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.name=e.name||"";this.transferEncoding=getStringOption(e.transferEncoding,["base64","none","package"]);this.use=e\
+.use||"";this.usehref=e.usehref||""}[co](){if(this.contentType&&!Jo.has(this.contentType.toLowerCase()))return HTMLResult.EMPTY;let e=this[Is].images?.get(this.href);if(!e&&(this.href||!this[ss]))return HTMLResult.EMPTY;e||"base64"!==this.transferEncoding||(e=function fromBase64Util(e){return Uint8Array.fromBase64?Uint8Array.fromBase64(e):stringToBytes(atob(e))}(this[ss]));if(!e)return HTMLResult.EMPTY;if(!this.contentType){for(const[t,a]of Yo)if(e.length>t.length&&t.every(((t,a)=>t===e[a]))){th\
+is.contentType=a;break}if(!this.contentType)return HTMLResult.EMPTY}const t=new Blob([e],{type:this.contentType});let a;switch(this.aspect){case"fit":case"actual":break;case"height":a={height:"100%",objectFit:"fill"};break;case"none":a={width:"100%",height:"100%",objectFit:"fill"};break;case"width":a={width:"100%",objectFit:"fill"}}const r=this[vs]();return HTMLResult.success({name:"img",attributes:{class:["xfaImage"],style:a,src:URL.createObjectURL(t),alt:r?ariaLabel(r[vs]()):null}})}}class Ima\
+geEdit extends XFAObject{constructor(e){super(Go,"imageEdit",!0);this.data=getStringOption(e.data,["link","embed"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){return"embed"===this.data?HTMLResult.success({name:"div",children:[],attributes:{}}):HTMLResult.EMPTY}}class Integer extends ContentObject{constructor(e){super(Go,"integer");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs]\
+(){const e=parseInt(this[ss].trim(),10);this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class Issuers extends XFAObject{constructor(e){super(Go,"issuers",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Items extends XFAObject{constructor(e){super(Go,"items",!0);this.id=e.id||"";this.name=e.name||"";this.presence=getStringOption(e.pre\
+sence,["visible","hidden","inactive","invisible"]);this.ref=e.ref||"";this.save=getInteger({data:e.save,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[co](){c\
+onst e=[];for(const t of this[Ss]())e.push(t[so]());return HTMLResult.success(e)}}class Keep extends XFAObject{constructor(e){super(Go,"keep",!0);this.id=e.id||"";const t=["none","contentArea","pageArea"];this.intact=getStringOption(e.intact,t);this.next=getStringOption(e.next,t);this.previous=getStringOption(e.previous,t);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class KeyUsage extends XFAObject{constructor(e){super(Go,"keyUsage");const t=["","yes","no"];this.crlSign=getSt\
+ringOption(e.crlSign,t);this.dataEncipherment=getStringOption(e.dataEncipherment,t);this.decipherOnly=getStringOption(e.decipherOnly,t);this.digitalSignature=getStringOption(e.digitalSignature,t);this.encipherOnly=getStringOption(e.encipherOnly,t);this.id=e.id||"";this.keyAgreement=getStringOption(e.keyAgreement,t);this.keyCertSign=getStringOption(e.keyCertSign,t);this.keyEncipherment=getStringOption(e.keyEncipherment,t);this.nonRepudiation=getStringOption(e.nonRepudiation,t);this.type=getString\
+Option(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Line extends XFAObject{constructor(e){super(Go,"line",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.slope=getStringOption(e.slope,["\\\\","/"]);this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null}[co](){const e=this[vs]()[vs](),t=this.edge||new Edge({}),a=t[ho](),r=Object.create(null),i="visible"===t.presence?t.thickness:0;r.strokeWidth=measureToString(i);r.str\
+oke=a.color;let n,s,o,c,l="100%",h="100%";if(e.w<=i){[n,s,o,c]=["50%",0,"50%","100%"];l=r.strokeWidth}else if(e.h<=i){[n,s,o,c]=[0,"50%","100%","50%"];h=r.strokeWidth}else"\\\\"===this.slope?[n,s,o,c]=[0,0,"100%","100%"]:[n,s,o,c]=[0,"100%","100%",0];const u={name:"svg",children:[{name:"line",attributes:{xmlns:Vo,x1:n,y1:s,x2:o,y2:c,style:r}}],attributes:{xmlns:Vo,width:l,height:h,style:{overflow:"visible"}}};if(hasMargin(e))return HTMLResult.success({name:"div",attributes:{style:{display:"inline"\
+,width:"100%",height:"100%"}},children:[u]});u.attributes.style.position="absolute";return HTMLResult.success(u)}}class Linear extends XFAObject{constructor(e){super(Go,"linear",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toRight","toBottom","toLeft","toTop"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";return`linear-gradient(${this.type.replace(/([RBLT])/," $1").toLowerCase()}, ${e}, ${this.color?this.color[ho]():"#000\
+000"})`}}class LockDocument extends ContentObject{constructor(e){super(Go,"lockDocument");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=getStringOption(this[ss],["auto","0","1"])}}class Manifest extends XFAObject{constructor(e){super(Go,"manifest",!0);this.action=getStringOption(e.action,["include","all","exclude"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.ex\
+tras=null;this.ref=new XFAObjectArray}}class Margin extends XFAObject{constructor(e){super(Go,"margin",!0);this.bottomInset=getMeasurement(e.bottomInset,"0");this.id=e.id||"";this.leftInset=getMeasurement(e.leftInset,"0");this.rightInset=getMeasurement(e.rightInset,"0");this.topInset=getMeasurement(e.topInset,"0");this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](){return{margin:measureToString(this.topInset)+" "+measureToString(this.rightInset)+" "+measureToString(this.bottomI\
+nset)+" "+measureToString(this.leftInset)}}}class Mdp extends XFAObject{constructor(e){super(Go,"mdp");this.id=e.id||"";this.permissions=getInteger({data:e.permissions,defaultValue:2,validate:e=>1===e||3===e});this.signatureType=getStringOption(e.signatureType,["filler","author"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Medium extends XFAObject{constructor(e){super(Go,"medium");this.id=e.id||"";this.imagingBBox=function getBBox(e){const t=-1;if(!e)return{x:t,y:t,width:t,height:t};co\
+nst a=e.split(",",4).map((e=>getMeasurement(e.trim(),"-1")));if(a.length<4||a[2]<0||a[3]<0)return{x:t,y:t,width:t,height:t};const[r,i,n,s]=a;return{x:r,y:i,width:n,height:s}}(e.imagingBBox);this.long=getMeasurement(e.long);this.orientation=getStringOption(e.orientation,["portrait","landscape"]);this.short=getMeasurement(e.short);this.stock=e.stock||"";this.trayIn=getStringOption(e.trayIn,["auto","delegate","pageFront"]);this.trayOut=getStringOption(e.trayOut,["auto","delegate"]);this.use=e.use||\
+"";this.usehref=e.usehref||""}}class Message extends XFAObject{constructor(e){super(Go,"message",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.text=new XFAObjectArray}}class NumericEdit extends XFAObject{constructor(e){super(Go,"numericEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(thi\
+s,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Occur extends XFAObject{constructor(e){super(Go,"occur",!0);this.id=e.id||"";this.initial=""!==e.initial?getInteger({data:e.i\
+nitial,defaultValue:"",validate:e=>!0}):"";this.max=""!==e.max?getInteger({data:e.max,defaultValue:1,validate:e=>!0}):"";this.min=""!==e.min?getInteger({data:e.min,defaultValue:1,validate:e=>!0}):"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ts](){const e=this[vs](),t=this.min;""===this.min&&(this.min=e instanceof PageArea||e instanceof PageSet?0:1);""===this.max&&(this.max=""===t?e instanceof PageArea||e instanceof PageSet?-1:1:this.min);-1!==this.max&&this.max<this.min&&(t\
+his.max=this.min);""===this.initial&&(this.initial=e instanceof Template?1:this.min)}}class Oid extends StringObject{constructor(e){super(Go,"oid");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Oids extends XFAObject{constructor(e){super(Go,"oids",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.oid=new XFAObjectArray}}class Overflow extends XFAObject{constructor(e){super\
+(Go,"overflow");this.id=e.id||"";this.leader=e.leader||"";this.target=e.target||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}[ws](){if(!this[ls]){const e=this[vs](),t=this[Fs](),a=t[to](this.target,e),r=t[to](this.leader,e),i=t[to](this.trailer,e);this[ls]={target:a?.[0]||null,leader:r?.[0]||null,trailer:i?.[0]||null,addLeader:!1,addTrailer:!1}}return this[ls]}}class PageArea extends XFAObject{constructor(e){super(Go,"pageArea",!0);this.blankOrNotBlank=getStringOpt\
+ion(e.blankOrNotBlank,["any","blank","notBlank"]);this.id=e.id||"";this.initialNumber=getInteger({data:e.initialNumber,defaultValue:1,validate:e=>!0});this.name=e.name||"";this.numbered=getInteger({data:e.numbered,defaultValue:1,validate:e=>!0});this.oddOrEven=getStringOption(e.oddOrEven,["any","even","odd"]);this.pagePosition=getStringOption(e.pagePosition,["any","first","last","only","rest"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.desc=null;thi\
+s.extras=null;this.medium=null;this.occur=null;this.area=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.draw=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray}[Xs](){if(!this[ls]){this[ls]={numberOfUse:0};return!0}return!this.occur||-1===this.occur.max||this[ls].numberOfUse<this.occur.max}[as](){delete this[ls]}[ks](){this[ls]||={numberOfUse:0};const e=this[vs]();if("orderedOccurrence"===e.relation&&this[Xs]()){this[ls\
+].numberOfUse+=1;return this}return e[ks]()}[gs](){return this[ls].space||{width:0,height:0}}[co](){this[ls]||={numberOfUse:1};const e=[];this[ls].children=e;const t=Object.create(null);if(this.medium&&this.medium.short&&this.medium.long){t.width=measureToString(this.medium.short);t.height=measureToString(this.medium.long);this[ls].space={width:this.medium.short,height:this.medium.long};if("landscape"===this.medium.orientation){const e=t.width;t.width=t.height;t.height=e;this[ls].space={width:th\
+is.medium.long,height:this.medium.short}}}else warn("XFA - No medium specified in pageArea: please file a bug.");this[es]({filter:new Set(["area","draw","field","subform"]),include:!0});this[es]({filter:new Set(["contentArea"]),include:!0});return HTMLResult.success({name:"div",children:e,attributes:{class:["xfaPage"],id:this[uo],style:t,xfaName:this.name}})}}class PageSet extends XFAObject{constructor(e){super(Go,"pageSet",!0);this.duplexImposition=getStringOption(e.duplexImposition,["longEdge"\
+,"shortEdge"]);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.relation,["orderedOccurrence","duplexPaginated","simplexPaginated"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.occur=null;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray}[as](){for(const e of this.pageArea.children)e[as]();for(const e of this.pageSet.children)e[as]()}[Xs](){return!this.occur||-1===this.occur.max||this[ls].numberOfUs\
+e<this.occur.max}[ks](){this[ls]||={numberOfUse:1,pageIndex:-1,pageSetIndex:-1};if("orderedOccurrence"===this.relation){if(this[ls].pageIndex+1<this.pageArea.children.length){this[ls].pageIndex+=1;return this.pageArea.children[this[ls].pageIndex][ks]()}if(this[ls].pageSetIndex+1<this.pageSet.children.length){this[ls].pageSetIndex+=1;return this.pageSet.children[this[ls].pageSetIndex][ks]()}if(this[Xs]()){this[ls].numberOfUse+=1;this[ls].pageIndex=-1;this[ls].pageSetIndex=-1;return this[ks]()}con\
+st e=this[vs]();if(e instanceof PageSet)return e[ks]();this[as]();return this[ks]()}const e=this[Fs]()[ls].pageNumber,t=e%2==0?"even":"odd",a=0===e?"first":"rest";let r=this.pageArea.children.find((e=>e.oddOrEven===t&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&"any"===e.pagePosition));return r||this.pageArea.children[0]}}class Para extends XFAObject{constructor\
+(e){super(Go,"para",!0);this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.lineHeight=e.lineHeight?getMeasurement(e.lineHeight,"0pt"):"";this.marginLeft=e.marginLeft?getMeasurement(e.marginLeft,"0pt"):"";this.marginRight=e.marginRight?getMeasurement(e.marginRight,"0pt"):"";this.orphans=getInteger({data:e.orphans,defaultValue:0,validate:e=>e>=0});this.preserve=e.preserve||"";this.radixOffset=e.radixOffset?getMeasurement(e.radixOffs\
+et,"0pt"):"";this.spaceAbove=e.spaceAbove?getMeasurement(e.spaceAbove,"0pt"):"";this.spaceBelow=e.spaceBelow?getMeasurement(e.spaceBelow,"0pt"):"";this.tabDefault=e.tabDefault?getMeasurement(this.tabDefault):"";this.tabStops=(e.tabStops||"").trim().split(/\\s+/).map(((e,t)=>t%2==1?getMeasurement(e):e));this.textIndent=e.textIndent?getMeasurement(e.textIndent,"0pt"):"";this.use=e.use||"";this.usehref=e.usehref||"";this.vAlign=getStringOption(e.vAlign,["top","bottom","middle"]);this.widows=getInteg\
+er({data:e.widows,defaultValue:0,validate:e=>e>=0});this.hyphenation=null}[ho](){const e=toStyle(this,"hAlign");""!==this.marginLeft&&(e.paddingLeft=measureToString(this.marginLeft));""!==this.marginRight&&(e.paddingRight=measureToString(this.marginRight));""!==this.spaceAbove&&(e.paddingTop=measureToString(this.spaceAbove));""!==this.spaceBelow&&(e.paddingBottom=measureToString(this.spaceBelow));if(""!==this.textIndent){e.textIndent=measureToString(this.textIndent);fixTextIndent(e)}this.lineHei\
+ght>0&&(e.lineHeight=measureToString(this.lineHeight));""!==this.tabDefault&&(e.tabSize=measureToString(this.tabDefault));this.tabStops.length;this.hyphenatation&&Object.assign(e,this.hyphenatation[ho]());return e}}class PasswordEdit extends XFAObject{constructor(e){super(Go,"passwordEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.passwordChar=e.passwordChar||"*";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=nul\
+l;this.margin=null}}class template_Pattern extends XFAObject{constructor(e){super(Go,"pattern",!0);this.id=e.id||"";this.type=getStringOption(e.type,["crossHatch","crossDiagonal","diagonalLeft","diagonalRight","horizontal","vertical"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000",a="repeating-linear-gradient",r=`${e},${e} 5px,${t} 5px,${t} 10px`;switch(this.type){case"crossHatch":return`\
+${a}(to top,${r}) ${a}(to right,${r})`;case"crossDiagonal":return`${a}(45deg,${r}) ${a}(-45deg,${r})`;case"diagonalLeft":return`${a}(45deg,${r})`;case"diagonalRight":return`${a}(-45deg,${r})`;case"horizontal":return`${a}(to top,${r})`;case"vertical":return`${a}(to right,${r})`}return""}}class Picture extends StringObject{constructor(e){super(Go,"picture");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Proto extends XFAObject{constructor(e){super(Go,"proto",!0);this.appeara\
+nceFilter=new XFAObjectArray;this.arc=new XFAObjectArray;this.area=new XFAObjectArray;this.assist=new XFAObjectArray;this.barcode=new XFAObjectArray;this.bindItems=new XFAObjectArray;this.bookend=new XFAObjectArray;this.boolean=new XFAObjectArray;this.border=new XFAObjectArray;this.break=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.button=new XFAObjectArray;this.calculate=new XFAObjectArray;this.caption=new XFAObjectArray;this.certificate=new XFA\
+ObjectArray;this.certificates=new XFAObjectArray;this.checkButton=new XFAObjectArray;this.choiceList=new XFAObjectArray;this.color=new XFAObjectArray;this.comb=new XFAObjectArray;this.connect=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.corner=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.dateTimeEdit=new XFAObjectArray;this.decimal=new XFAObjectArray;this.defaultUi=new XFAObjectArray;this.desc=new XFAObjectArray;this.digestMethod=new XFAObj\
+ectArray;this.digestMethods=new XFAObjectArray;this.draw=new XFAObjectArray;this.edge=new XFAObjectArray;this.encoding=new XFAObjectArray;this.encodings=new XFAObjectArray;this.encrypt=new XFAObjectArray;this.encryptData=new XFAObjectArray;this.encryption=new XFAObjectArray;this.encryptionMethod=new XFAObjectArray;this.encryptionMethods=new XFAObjectArray;this.event=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.execute=n\
+ew XFAObjectArray;this.extras=new XFAObjectArray;this.field=new XFAObjectArray;this.fill=new XFAObjectArray;this.filter=new XFAObjectArray;this.float=new XFAObjectArray;this.font=new XFAObjectArray;this.format=new XFAObjectArray;this.handler=new XFAObjectArray;this.hyphenation=new XFAObjectArray;this.image=new XFAObjectArray;this.imageEdit=new XFAObjectArray;this.integer=new XFAObjectArray;this.issuers=new XFAObjectArray;this.items=new XFAObjectArray;this.keep=new XFAObjectArray;this.keyUsage=ne\
+w XFAObjectArray;this.line=new XFAObjectArray;this.linear=new XFAObjectArray;this.lockDocument=new XFAObjectArray;this.manifest=new XFAObjectArray;this.margin=new XFAObjectArray;this.mdp=new XFAObjectArray;this.medium=new XFAObjectArray;this.message=new XFAObjectArray;this.numericEdit=new XFAObjectArray;this.occur=new XFAObjectArray;this.oid=new XFAObjectArray;this.oids=new XFAObjectArray;this.overflow=new XFAObjectArray;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray;this.para=\
+new XFAObjectArray;this.passwordEdit=new XFAObjectArray;this.pattern=new XFAObjectArray;this.picture=new XFAObjectArray;this.radial=new XFAObjectArray;this.reason=new XFAObjectArray;this.reasons=new XFAObjectArray;this.rectangle=new XFAObjectArray;this.ref=new XFAObjectArray;this.script=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.signData=new XFAObjectArray;this.signature=new XFAObjectArray;this.signing=new XFAObjectArray;this.solid=new XFAObjectArray;this.speak=new XFAObjectArra\
+y;this.stipple=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray;this.subjectDN=new XFAObjectArray;this.subjectDNs=new XFAObjectArray;this.submit=new XFAObjectArray;this.text=new XFAObjectArray;this.textEdit=new XFAObjectArray;this.time=new XFAObjectArray;this.timeStamp=new XFAObjectArray;this.toolTip=new XFAObjectArray;this.traversal=new XFAObjectArray;this.traverse=new XFAObjectArray;this.ui=new XFAObjectArray;this.validate=new XFAObjectArray;this.value=new \
+XFAObjectArray;this.variables=new XFAObjectArray}}class Radial extends XFAObject{constructor(e){super(Go,"radial",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toEdge","toCenter"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000";return`radial-gradient(circle at center, ${"toEdge"===this.type?`${e},${t}`:`${t},${e}`})`}}class Reason extends StringObject{constructor(e){super(Go,"rea\
+son");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Reasons extends XFAObject{constructor(e){super(Go,"reasons",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.reason=new XFAObjectArray}}class Rectangle extends XFAObject{constructor(e){super(Go,"rectangle",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.use\
+href||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.fill=null}[co](){const e=this.edge.children.length?this.edge.children[0]:new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;const r=(this.corner.children.length?this.corner.children[0]:new Corner({}))[ho](),i={name:"svg",children:[{name:"rect",attributes:\
+{xmlns:Vo,width:"100%",height:"100%",x:0,y:0,rx:r.radius,ry:r.radius,style:a}}],attributes:{xmlns:Vo,style:{overflow:"visible"},width:"100%",height:"100%"}};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[i]});i.attributes.style.position="absolute";return HTMLResult.success(i)}}class RefElement extends StringObject{constructor(e){super(Go,"ref");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehr\
+ef||""}}class Script extends StringObject{constructor(e){super(Go,"script");this.binding=e.binding||"";this.contentType=e.contentType||"";this.id=e.id||"";this.name=e.name||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class SetProperty extends XFAObject{constructor(e){super(Go,"setProperty");this.connection=e.connection||"";this.ref=e.ref||"";this.target=e.target||""}}class SignData extends XFAObject{constructor(e){super(Go,"sig\
+nData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["sign","clear","verify"]);this.ref=e.ref||"";this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Signature extends XFAObject{constructor(e){super(Go,"signature",!0);this.id=e.id||"";this.type=getStringOption(e.type,["PDF1.3","PDF1.6"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.filter=null;this.manifest=null;this.margin=nu\
+ll}}class Signing extends XFAObject{constructor(e){super(Go,"signing",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Solid extends XFAObject{constructor(e){super(Go,"solid",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](e){return e?e[ho]():"#FFFFFF"}}class Speak extends StringObject{constructor(e){super(Go,"speak");this.disable=getInte\
+ger({data:e.disable,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.priority=getStringOption(e.priority,["custom","caption","name","toolTip"]);this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Stipple extends XFAObject{constructor(e){super(Go,"stipple",!0);this.id=e.id||"";this.rate=getInteger({data:e.rate,defaultValue:50,validate:e=>e>=0&&e<=100});this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){const t=this.rate/100;return Ut\
+il.makeHexColor(Math.round(e.value.r*(1-t)+this.value.r*t),Math.round(e.value.g*(1-t)+this.value.g*t),Math.round(e.value.b*(1-t)+this.value.b*t))}}class Subform extends XFAObject{constructor(e){super(Go,"subform",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.allowMacro=getInteger({data:e.allowMacro,defaultValue:0,validate:e=>1===e});this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","m\
+iddleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.columnWidths=(e.columnWidths||"").trim().split(/\\s+/).map((e=>"-1"===e?-1:getMeasurement(e)));this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.locale=e.locale||"";thi\
+s.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.mergeMode=getStringOption(e.mergeMode,["consumeData","matchTemplate"]);this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.restoreState=getStringOption(e.restoreState,["manual","auto"]);this.scope=getStringOption(e.scope,["name","none"]);this.u\
+se=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.bookend=null;this.border=null;this.break=null;this.calculate=null;this.desc=null;this.extras=null;this.keep=null;this.margin=null;this.occur=null;this.overflow=null;this.pageSet=null;this.para=null;this.traversal=null;this.validate=null;this.variables=null;this.area=new XFAObjectArray;this.breakAfter=new XFAObjectArray;th\
+is.breakBefore=new XFAObjectArray;this.connect=new XFAObjectArray;this.draw=new XFAObjectArray;this.event=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.proto=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}[Cs](){const e=this[vs]();return e instanceof SubformSet?e[Cs]():e}[Rs](){return!0}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attemp\
+t&&this[ls].numberInLine>0||this[vs]()[_s]()}*[As](){yield*getContainedChildren(this)}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(this.keep&&"none"!==this.keep.intact){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[l\
+s].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[co](e){setTabIndex(this);if(this.break){if("auto"!==this.break.after||""!==this.break.afterTarget){const e=new BreakAfter({targetType:this.break.after,target:this.break.afterTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakAfter.push(e)}if("auto"!==this.break.before||""!==this.break.beforeTarget){const e=new BreakBefore({targetType:this.break.before,target:this.break.beforeTarget,startNew:this.break\
+.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakBefore.push(e)}if(""!==this.break.overflowTarget){const e=new Overflow({target:this.break.overflowTarget,leader:this.break.overflowLeader,trailer:this.break.overflowTrailer});e[Is]=this[Is];this[Qn](e);this.overflow.push(e)}this[Zs](this.break);this.break=null}if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;(this.breakBefore.children.length>1||this.breakAfter.children.length>1)&&warn("XFA - Several breakB\
+efore or breakAfter in subforms: please file a bug.");if(this.breakBefore.children.length>=1){const e=this.breakBefore.children[0];if(handleBreak(e))return HTMLResult.breakNode(e)}if(this[ls]?.afterBreakAfter)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,line:null,attributes:a,attempt:0,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.\
+h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[Fs](),i=r[ls].noLayoutFailure,n=this[js]();n||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const s=new Set(["area","draw","exclGroup","field","subform","subformSet"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const o=toStyle(this,"anchorType","dimensions","position","presence","bo\
+rder","margin","hAlign"),c=["xfaSubform"],l=layoutClass(this);l&&c.push(l);a.style=o;a.class=c;this.name&&(a.xfaName=this.name);if(this.overflow){const t=this.overflow[ws]();if(t.addLeader){t.addLeader=!1;handleOverflow(this,t.leader,e)}}this[Ys]();const h="lr-tb"===this.layout||"rl-tb"===this.layout,u=h?2:1;for(;this[ls].attempt<u;this[ls].attempt++){h&&1===this[ls].attempt&&(this[ls].numberInLine=0);const e=this[es]({filter:s,include:!0});if(e.success)break;if(e.isBreak()){this[Js]();return e}\
+if(h&&0===this[ls].attempt&&0===this[ls].numberInLine&&!r[ls].noLayoutFailure){this[ls].attempt=u;break}}this[Js]();n||unsetFirstUnsplittable(this);r[ls].noLayoutFailure=i;if(this[ls].attempt===u){this.overflow&&(this[Fs]()[ls].overflowNode=this.overflow);n||delete this[ls];return HTMLResult.FAILURE}if(this.overflow){const t=this.overflow[ws]();if(t.addTrailer){t.addTrailer=!1;handleOverflow(this,t.trailer,e)}}let d=0,f=0;if(this.margin){d=this.margin.leftInset+this.margin.rightInset;f=this.marg\
+in.topInset+this.margin.bottomInset}const g=Math.max(this[ls].width+d,this.w||0),p=Math.max(this[ls].height+f,this.h||0),m=[this.x,this.y,g,p];""===this.w&&(o.width=measureToString(g));""===this.h&&(o.height=measureToString(p));if(("0px"===o.width||"0px"===o.height)&&0===t.length)return HTMLResult.EMPTY;const b={name:"div",attributes:a,children:t};applyAssist(this,a);const y=HTMLResult.success(createWrapper(this,b),m);if(this.breakAfter.children.length>=1){const e=this.breakAfter.children[0];if(\
+handleBreak(e)){this[ls].afterBreakAfter=y;return HTMLResult.breakNode(e)}}delete this[ls];return y}}class SubformSet extends XFAObject{constructor(e){super(Go,"subformSet",!0);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.relation,["ordered","choice","unordered"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.bookend=null;this.break=null;this.desc=null;this.extras=null;this.occur=null;this.overflow=null;this.breakAfter=new XFAOb\
+jectArray;this.breakBefore=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Cs](){let e=this[vs]();for(;!(e instanceof Subform);)e=e[vs]();return e}[Rs](){return!0}}class SubjectDN extends ContentObject{constructor(e){super(Go,"subjectDN");this.delimiter=e.delimiter||",";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=new Map(this[ss].split(this.delimiter).map((e=>{(\
+e=e.split("=",2))[0]=e[0].trim();return e})))}}class SubjectDNs extends XFAObject{constructor(e){super(Go,"subjectDNs",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.subjectDN=new XFAObjectArray}}class Submit extends XFAObject{constructor(e){super(Go,"submit",!0);this.embedPDF=getInteger({data:e.embedPDF,defaultValue:0,validate:e=>1===e});this.format=getStringOption(e.format,["xdp","formdata","pdf","urlencoded","x\
+fd","xml"]);this.id=e.id||"";this.target=e.target||"";this.textEncoding=getKeyword({data:e.textEncoding?e.textEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.use=e.use||"";this.usehref=e.usehref||"";this.xdpContent=e.xdpContent||"";this.encrypt=null;this.encryptData=new XFAObjectArray;this.signData=new XFAObjectArray}}class Template ext\
+ends XFAObject{constructor(e){super(Go,"template",!0);this.baseProfile=getStringOption(e.baseProfile,["full","interactiveForms"]);this.extras=null;this.subform=new XFAObjectArray}[hs](){0===this.subform.children.length&&warn("XFA - No subforms in template node.");this.subform.children.length>=2&&warn("XFA - Several subforms in template node: please file a bug.");this[no]=5e3}[js](){return!0}[to](e,t){return e.startsWith("#")?[this[Os].get(e.slice(1))]:searchNode(this,t,e,!0,!0)}*[oo](){if(!this.\
+subform.children.length)return HTMLResult.success({name:"div",children:[]});this[ls]={overflowNode:null,firstUnsplittable:null,currentContentArea:null,currentPageArea:null,noLayoutFailure:!1,pageNumber:1,pagePosition:"first",oddOrEven:"odd",blankOrNotBlank:"nonBlank",paraStack:[]};const e=this.subform.children[0];e.pageSet[as]();const t=e.pageSet.pageArea.children,a={name:"div",children:[]};let r=null,i=null,n=null;if(e.breakBefore.children.length>=1){i=e.breakBefore.children[0];n=i.target}else \
+if(e.subform.children.length>=1&&e.subform.children[0].breakBefore.children.length>=1){i=e.subform.children[0].breakBefore.children[0];n=i.target}else if(e.break?.beforeTarget){i=e.break;n=i.beforeTarget}else if(e.subform.children.length>=1&&e.subform.children[0].break?.beforeTarget){i=e.subform.children[0].break;n=i.beforeTarget}if(i){const e=this[to](n,i[vs]());if(e instanceof PageArea){r=e;i[ls]={}}}r||=t[0];r[ls]={numberOfUse:1};const s=r[vs]();s[ls]={numberOfUse:1,pageIndex:s.pageArea.child\
+ren.indexOf(r),pageSetIndex:0};let o,c=null,l=null,h=!0,u=0,d=0;for(;;){if(h)u=0;else{a.children.pop();if(3==++u){warn("XFA - Something goes wrong: please file a bug.");return a}}o=null;this[ls].currentPageArea=r;const t=r[co]().html;a.children.push(t);if(c){this[ls].noLayoutFailure=!0;t.children.push(c[co](r[ls].space).html);c=null}if(l){this[ls].noLayoutFailure=!0;t.children.push(l[co](r[ls].space).html);l=null}const i=r.contentArea.children,n=t.children.filter((e=>e.attributes.class.includes(\
+"xfaContentarea")));h=!1;this[ls].firstUnsplittable=null;this[ls].noLayoutFailure=!1;const flush=t=>{const a=e[us]();if(a){h||=a.children?.length>0;n[t].children.push(a)}};for(let t=d,r=i.length;t<r;t++){const r=this[ls].currentContentArea=i[t],s={width:r.w,height:r.h};d=0;if(c){n[t].children.push(c[co](s).html);c=null}if(l){n[t].children.push(l[co](s).html);l=null}const u=e[co](s);if(u.success){if(u.html){h||=u.html.children?.length>0;n[t].children.push(u.html)}else!h&&a.children.length>1&&a.ch\
+ildren.pop();return a}if(u.isBreak()){const e=u.breakNode;flush(t);if("auto"===e.targetType)continue;if(e.leader){c=this[to](e.leader,e[vs]());c=c?c[0]:null}if(e.trailer){l=this[to](e.trailer,e[vs]());l=l?l[0]:null}if("pageArea"===e.targetType){o=e[ls].target;t=1/0}else if(e[ls].target){o=e[ls].target;d=e[ls].index+1;t=1/0}else t=e[ls].index}else if(this[ls].overflowNode){const e=this[ls].overflowNode;this[ls].overflowNode=null;const a=e[ws](),r=a.target;a.addLeader=null!==a.leader;a.addTrailer=\
+null!==a.trailer;flush(t);const n=t;t=1/0;if(r instanceof PageArea)o=r;else if(r instanceof ContentArea){const e=i.indexOf(r);if(-1!==e)e>n?t=e-1:d=e;else{o=r[vs]();d=o.contentArea.children.indexOf(r)}}}else flush(t)}this[ls].pageNumber+=1;o&&(o[Xs]()?o[ls].numberOfUse+=1:o=null);r=o||r[ks]();yield null}}}class Text extends ContentObject{constructor(e){super(Go,"text");this.id=e.id||"";this.maxChars=getInteger({data:e.maxChars,defaultValue:0,validate:e=>e>=0});this.name=e.name||"";this.rid=e.rid\
+||"";this.use=e.use||"";this.usehref=e.usehref||""}[Yn](){return!0}[$s](e){if(e[Hs]===go.xhtml.id){this[ss]=e;return!0}warn(`XFA - Invalid content in Text: ${e[Ws]}.`);return!1}[Vs](e){this[ss]instanceof XFAObject||super[Vs](e)}[hs](){"string"==typeof this[ss]&&(this[ss]=this[ss].replaceAll("\\r\\n","\\n"))}[ws](){return"string"==typeof this[ss]?this[ss].split(/[\\u2029\\u2028\\n]/).filter((e=>!!e)).join("\\n"):this[ss][so]()}[co](e){if("string"==typeof this[ss]){const e=valueToHtml(this[ss]).html;if(t\
+his[ss].includes("\\u2029")){e.name="div";e.children=[];this[ss].split("\\u2029").map((e=>e.split(/[\\u2028\\n]/).flatMap((e=>[{name:"span",value:e},{name:"br"}])))).forEach((t=>{e.children.push({name:"p",children:t})}))}else if(/[\\u2028\\n]/.test(this[ss])){e.name="div";e.children=[];this[ss].split(/[\\u2028\\n]/).forEach((t=>{e.children.push({name:"span",value:t},{name:"br"})}))}return HTMLResult.success(e)}return this[ss][co](e)}}class TextEdit extends XFAObject{constructor(e){super(Go,"textEdit",!0\
+);this.allowRichText=getInteger({data:e.allowRichText,defaultValue:0,validate:e=>1===e});this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.multiLine=getInteger({data:e.multiLine,defaultValue:"",validate:e=>0===e||1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.vScrollPolicy=getStringOption(e.vScrollPolicy,["auto","off","on"]);this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margi\
+n");let a;const r=this[vs]()[vs]();""===this.multiLine&&(this.multiLine=r instanceof Draw?1:0);a=1===this.multiLine?{name:"textarea",attributes:{dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}}:{name:"input",attributes:{type:"text",dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}};if(isRequired(r)){a.attributes["aria-required"]=!0;a.attributes.required=!0}retur\
+n HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[a]})}}class Time extends StringObject{constructor(e){super(Go,"time");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class TimeStamp extends XFAObject{constructor(e){super(Go,"timeStamp");this.id=e.id||"";this.server=e.server||"";this.type=getStringOption(e.type,["o\
+ptional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class ToolTip extends StringObject{constructor(e){super(Go,"toolTip");this.id=e.id||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Traversal extends XFAObject{constructor(e){super(Go,"traversal",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.traverse=new XFAObjectArray}}class Traverse extends XFAObject{constructor(e){super(Go,"traverse",!0);this.id=e.id||"";t\
+his.operation=getStringOption(e.operation,["next","back","down","first","left","right","up"]);this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.script=null}get name(){return this.operation}[Us](){return!1}}class Ui extends XFAObject{constructor(e){super(Go,"ui",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null;this.barcode=null;this.button=null;this.checkButton=null;this.choiceList=null;this.dateTimeEdit=nul\
+l;this.defaultUi=null;this.imageEdit=null;this.numericEdit=null;this.passwordEdit=null;this.signature=null;this.textEdit=null}[ws](){if(void 0===this[ls]){for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"picture"===e)continue;const t=this[e];if(t instanceof XFAObject){this[ls]=t;return t}}this[ls]=null}return this[ls]}[co](e){const t=this[ws]();return t?t[co](e):HTMLResult.EMPTY}}class Validate extends XFAObject{constructor(e){super(Go,"validate",!0);this.formatTest=getStringOp\
+tion(e.formatTest,["warning","disabled","error"]);this.id=e.id||"";this.nullTest=getStringOption(e.nullTest,["disabled","error","warning"]);this.scriptTest=getStringOption(e.scriptTest,["error","disabled","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.picture=null;this.script=null}}class Value extends XFAObject{constructor(e){super(Go,"value",!0);this.id=e.id||"";this.override=getInteger({data:e.override,defaultValue:0,validate:e=>1===e});this.r\
+elevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.arc=null;this.boolean=null;this.date=null;this.dateTime=null;this.decimal=null;this.exData=null;this.float=null;this.image=null;this.integer=null;this.line=null;this.rectangle=null;this.text=null;this.time=null}[io](e){const t=this[vs]();if(t instanceof Field&&t.ui?.imageEdit){if(!this.image){this.image=new Image({});this[Qn](this.image)}this.image[ss]=e[ss];return}const a=e[Ws];if(null===this[a]){for(const e of O\
+bject.getOwnPropertyNames(this)){const t=this[e];if(t instanceof XFAObject){this[e]=null;this[Zs](t)}}this[e[Ws]]=e;this[Qn](e)}else this[a][ss]=e[ss]}[so](){if(this.exData)return"string"==typeof this.exData[ss]?this.exData[ss].trim():this.exData[ss][so]().trim();for(const e of Object.getOwnPropertyNames(this)){if("image"===e)continue;const t=this[e];if(t instanceof XFAObject)return(t[ss]||"").toString().trim()}return null}[co](e){for(const t of Object.getOwnPropertyNames(this)){const a=this[t];\
+if(a instanceof XFAObject)return a[co](e)}return HTMLResult.EMPTY}}class Variables extends XFAObject{constructor(e){super(Go,"variables",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.manifest=new XFAObjectArray;this.script=ne\
+w XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[Us](){return!0}}class TemplateNamespace{static[fo](e,t){if(TemplateNamespace.hasOwnProperty(e)){const a=TemplateNamespace[e](t);a[ro](t);return a}}static appearanceFilter(e){return new AppearanceFilter(e)}static arc(e){return new Arc(e)}static area(e){return new Area(e)}static assist(e){return new Assist(e)}static barcode(e){return new Barcode(e)}static bind(e){return new Bind(e)}static bindItems(e){return new BindItems(\
+e)}static bookend(e){return new Bookend(e)}static boolean(e){return new BooleanElement(e)}static border(e){return new Border(e)}static break(e){return new Break(e)}static breakAfter(e){return new BreakAfter(e)}static breakBefore(e){return new BreakBefore(e)}static button(e){return new Button(e)}static calculate(e){return new Calculate(e)}static caption(e){return new Caption(e)}static certificate(e){return new Certificate(e)}static certificates(e){return new Certificates(e)}static checkButton(e){\
+return new CheckButton(e)}static choiceList(e){return new ChoiceList(e)}static color(e){return new Color(e)}static comb(e){return new Comb(e)}static connect(e){return new Connect(e)}static contentArea(e){return new ContentArea(e)}static corner(e){return new Corner(e)}static date(e){return new DateElement(e)}static dateTime(e){return new DateTime(e)}static dateTimeEdit(e){return new DateTimeEdit(e)}static decimal(e){return new Decimal(e)}static defaultUi(e){return new DefaultUi(e)}static desc(e){\
+return new Desc(e)}static digestMethod(e){return new DigestMethod(e)}static digestMethods(e){return new DigestMethods(e)}static draw(e){return new Draw(e)}static edge(e){return new Edge(e)}static encoding(e){return new Encoding(e)}static encodings(e){return new Encodings(e)}static encrypt(e){return new Encrypt(e)}static encryptData(e){return new EncryptData(e)}static encryption(e){return new Encryption(e)}static encryptionMethod(e){return new EncryptionMethod(e)}static encryptionMethods(e){retur\
+n new EncryptionMethods(e)}static event(e){return new Event(e)}static exData(e){return new ExData(e)}static exObject(e){return new ExObject(e)}static exclGroup(e){return new ExclGroup(e)}static execute(e){return new Execute(e)}static extras(e){return new Extras(e)}static field(e){return new Field(e)}static fill(e){return new Fill(e)}static filter(e){return new Filter(e)}static float(e){return new Float(e)}static font(e){return new template_Font(e)}static format(e){return new Format(e)}static han\
+dler(e){return new Handler(e)}static hyphenation(e){return new Hyphenation(e)}static image(e){return new Image(e)}static imageEdit(e){return new ImageEdit(e)}static integer(e){return new Integer(e)}static issuers(e){return new Issuers(e)}static items(e){return new Items(e)}static keep(e){return new Keep(e)}static keyUsage(e){return new KeyUsage(e)}static line(e){return new Line(e)}static linear(e){return new Linear(e)}static lockDocument(e){return new LockDocument(e)}static manifest(e){return ne\
+w Manifest(e)}static margin(e){return new Margin(e)}static mdp(e){return new Mdp(e)}static medium(e){return new Medium(e)}static message(e){return new Message(e)}static numericEdit(e){return new NumericEdit(e)}static occur(e){return new Occur(e)}static oid(e){return new Oid(e)}static oids(e){return new Oids(e)}static overflow(e){return new Overflow(e)}static pageArea(e){return new PageArea(e)}static pageSet(e){return new PageSet(e)}static para(e){return new Para(e)}static passwordEdit(e){return \
+new PasswordEdit(e)}static pattern(e){return new template_Pattern(e)}static picture(e){return new Picture(e)}static proto(e){return new Proto(e)}static radial(e){return new Radial(e)}static reason(e){return new Reason(e)}static reasons(e){return new Reasons(e)}static rectangle(e){return new Rectangle(e)}static ref(e){return new RefElement(e)}static script(e){return new Script(e)}static setProperty(e){return new SetProperty(e)}static signData(e){return new SignData(e)}static signature(e){return n\
+ew Signature(e)}static signing(e){return new Signing(e)}static solid(e){return new Solid(e)}static speak(e){return new Speak(e)}static stipple(e){return new Stipple(e)}static subform(e){return new Subform(e)}static subformSet(e){return new SubformSet(e)}static subjectDN(e){return new SubjectDN(e)}static subjectDNs(e){return new SubjectDNs(e)}static submit(e){return new Submit(e)}static template(e){return new Template(e)}static text(e){return new Text(e)}static textEdit(e){return new TextEdit(e)}\
+static time(e){return new Time(e)}static timeStamp(e){return new TimeStamp(e)}static toolTip(e){return new ToolTip(e)}static traversal(e){return new Traversal(e)}static traverse(e){return new Traverse(e)}static ui(e){return new Ui(e)}static validate(e){return new Validate(e)}static value(e){return new Value(e)}static variables(e){return new Variables(e)}}const Zo=go.datasets.id;function createText(e){const t=new Text({});t[ss]=e;return t}class Binder{constructor(e){this.root=e;this.datasets=e.da\
+tasets;this.data=e.datasets?.data||new XmlObject(go.datasets.id,"data");this.emptyMerge=0===this.data[Ss]().length;this.root.form=this.form=e.template[is]()}_isConsumeData(){return!this.emptyMerge&&this._mergeMode}_isMatchTemplate(){return!this._isConsumeData()}bind(){this._bindElement(this.form,this.data);return this.form}getData(){return this.data}_bindValue(e,t,a){e[os]=t;if(e[Ts]())if(t[Ns]()){const a=t[ys]();e[io](createText(a))}else if(e instanceof Field&&"multiSelect"===e.ui?.choiceList?.\
+open){const a=t[Ss]().map((e=>e[ss].trim())).join("\\n");e[io](createText(a))}else this._isConsumeData()&&warn("XFA - Nodes haven\'t the same type.");else!t[Ns]()||this._isMatchTemplate()?this._bindElement(e,t):warn("XFA - Nodes haven\'t the same type.")}_findDataByNameToConsume(e,t,a,r){if(!e)return null;let i,n;for(let r=0;r<3;r++){i=a[xs](e,!1,!0);for(;;){n=i.next().value;if(!n)break;if(t===n[Ns]())return n}if(a[Hs]===go.datasets.id&&"data"===a[Ws])break;a=a[vs]()}if(!r)return null;i=this.data[x\
+s](e,!0,!1);n=i.next().value;if(n)return n;i=this.data[ds](e,!0);n=i.next().value;return n?.[Ns]()?n:null}_setProperties(e,t){if(e.hasOwnProperty("setProperty"))for(const{ref:a,target:r,connection:i}of e.setProperty.children){if(i)continue;if(!a)continue;const n=searchNode(this.root,t,a,!1,!1);if(!n){warn(`XFA - Invalid reference: ${a}.`);continue}const[s]=n;if(!s[Es](this.data)){warn("XFA - Invalid node: must be a data node.");continue}const o=searchNode(this.root,e,r,!1,!1);if(!o){warn(`XFA - \
+Invalid target: ${r}.`);continue}const[c]=o;if(!c[Es](e)){warn("XFA - Invalid target: must be a property or subproperty.");continue}const l=c[vs]();if(c instanceof SetProperty||l instanceof SetProperty){warn("XFA - Invalid target: cannot be a setProperty or one of its properties.");continue}if(c instanceof BindItems||l instanceof BindItems){warn("XFA - Invalid target: cannot be a bindItems or one of its properties.");continue}const h=s[so](),u=c[Ws];if(c instanceof XFAAttribute){const e=Object.c\
+reate(null);e[u]=h;const t=Reflect.construct(Object.getPrototypeOf(l).constructor,[e]);l[u]=t[u]}else if(c.hasOwnProperty(ss)){c[os]=s;c[ss]=h;c[hs]()}else warn("XFA - Invalid node to use in setProperty")}}_bindItems(e,t){if(!e.hasOwnProperty("items")||!e.hasOwnProperty("bindItems")||e.bindItems.isEmpty())return;for(const t of e.items.children)e[Zs](t);e.items.clear();const a=new Items({}),r=new Items({});e[Qn](a);e.items.push(a);e[Qn](r);e.items.push(r);for(const{ref:i,labelRef:n,valueRef:s,con\
+nection:o}of e.bindItems.children){if(o)continue;if(!i)continue;const e=searchNode(this.root,t,i,!1,!1);if(e)for(const t of e){if(!t[Es](this.datasets)){warn(`XFA - Invalid ref (${i}): must be a datasets child.`);continue}const e=searchNode(this.root,t,n,!0,!1);if(!e){warn(`XFA - Invalid label: ${n}.`);continue}const[o]=e;if(!o[Es](this.datasets)){warn("XFA - Invalid label: must be a datasets child.");continue}const c=searchNode(this.root,t,s,!0,!1);if(!c){warn(`XFA - Invalid value: ${s}.`);cont\
+inue}const[l]=c;if(!l[Es](this.datasets)){warn("XFA - Invalid value: must be a datasets child.");continue}const h=createText(o[so]()),u=createText(l[so]());a[Qn](h);a.text.push(h);r[Qn](u);r.text.push(u)}else warn(`XFA - Invalid reference: ${i}.`)}}_bindOccurrences(e,t,a){let r;if(t.length>1){r=e[is]();r[Zs](r.occur);r.occur=null}this._bindValue(e,t[0],a);this._setProperties(e,t[0]);this._bindItems(e,t[0]);if(1===t.length)return;const i=e[vs](),n=e[Ws],s=i[Ms](e);for(let e=1,o=t.length;e<o;e++){\
+const o=t[e],c=r[is]();i[n].push(c);i[Ds](s+e,c);this._bindValue(c,o,a);this._setProperties(c,o);this._bindItems(c,o)}}_createOccurrences(e){if(!this.emptyMerge)return;const{occur:t}=e;if(!t||t.initial<=1)return;const a=e[vs](),r=e[Ws];if(!(a[r]instanceof XFAObjectArray))return;let i;i=e.name?a[r].children.filter((t=>t.name===e.name)).length:a[r].children.length;const n=a[Ms](e)+1,s=t.initial-i;if(s){const t=e[is]();t[Zs](t.occur);t.occur=null;a[r].push(t);a[Ds](n,t);for(let e=1;e<s;e++){const i\
+=t[is]();a[r].push(i);a[Ds](n+e,i)}}}_getOccurInfo(e){const{name:t,occur:a}=e;if(!a||!t)return[1,1];const r=-1===a.max?1/0:a.max;return[a.min,r]}_setAndBind(e,t){this._setProperties(e,t);this._bindItems(e,t);this._bindElement(e,t)}_bindElement(e,t){const a=[];this._createOccurrences(e);for(const r of e[Ss]()){if(r[os])continue;if(void 0===this._mergeMode&&"subform"===r[Ws]){this._mergeMode="consumeData"===r.mergeMode;const e=t[Ss]();if(e.length>0)this._bindOccurrences(r,[e[0]],null);else if(this\
+.emptyMerge){const e=t[Hs]===Zo?-1:t[Hs],a=r[os]=new XmlObject(e,r.name||"root");t[Qn](a);this._bindElement(r,a)}continue}if(!r[Rs]())continue;let e=!1,i=null,n=null,s=null;if(r.bind){switch(r.bind.match){case"none":this._setAndBind(r,t);continue;case"global":e=!0;break;case"dataRef":if(!r.bind.ref){warn(`XFA - ref is empty in node ${r[Ws]}.`);this._setAndBind(r,t);continue}n=r.bind.ref}r.bind.picture&&(i=r.bind.picture[ss])}const[o,c]=this._getOccurInfo(r);if(n){s=searchNode(this.root,t,n,!0,!1\
+);if(null===s){s=createDataNode(this.data,t,n);if(!s)continue;this._isConsumeData()&&(s[ns]=!0);this._setAndBind(r,s);continue}this._isConsumeData()&&(s=s.filter((e=>!e[ns])));s.length>c?s=s.slice(0,c):0===s.length&&(s=null);s&&this._isConsumeData()&&s.forEach((e=>{e[ns]=!0}))}else{if(!r.name){this._setAndBind(r,t);continue}if(this._isConsumeData()){const a=[];for(;a.length<c;){const i=this._findDataByNameToConsume(r.name,r[Ts](),t,e);if(!i)break;i[ns]=!0;a.push(i)}s=a.length>0?a:null}else{s=t[x\
+s](r.name,!1,this.emptyMerge).next().value;if(!s){if(0===o){a.push(r);continue}const e=t[Hs]===Zo?-1:t[Hs];s=r[os]=new XmlObject(e,r.name);this.emptyMerge&&(s[ns]=!0);t[Qn](s);this._setAndBind(r,s);continue}this.emptyMerge&&(s[ns]=!0);s=[s]}}s?this._bindOccurrences(r,s,i):o>0?this._setAndBind(r,t):a.push(r)}a.forEach((e=>e[vs]()[Zs](e)))}}class DataHandler{constructor(e,t){this.data=t;this.dataset=e.datasets||null}serialize(e){const t=[[-1,this.data[Ss]()]];for(;t.length>0;){const a=t.at(-1),[r,\
+i]=a;if(r+1===i.length){t.pop();continue}const n=i[++a[0]],s=e.get(n[uo]);if(s)n[io](s);else{const t=n[fs]();for(const a of t.values()){const t=e.get(a[uo]);if(t){a[io](t);break}}}const o=n[Ss]();o.length>0&&t.push([-1,o])}const a=[\'<xfa:datasets xmlns:xfa="http://www.xfa.org/schema/xfa-data/1.0/">\'];if(this.dataset)for(const e of this.dataset[Ss]())"data"!==e[Ws]&&e[lo](a);this.data[lo](a);a.push("</xfa:datasets>");return a.join("")}}const Qo=go.config.id;class Acrobat extends XFAObject{constru\
+ctor(e){super(Qo,"acrobat",!0);this.acrobat7=null;this.autoSave=null;this.common=null;this.validate=null;this.validateApprovalSignatures=null;this.submitUrl=new XFAObjectArray}}class Acrobat7 extends XFAObject{constructor(e){super(Qo,"acrobat7",!0);this.dynamicRender=null}}class ADBE_JSConsole extends OptionObject{constructor(e){super(Qo,"ADBE_JSConsole",["delegate","Enable","Disable"])}}class ADBE_JSDebugger extends OptionObject{constructor(e){super(Qo,"ADBE_JSDebugger",["delegate","Enable","Di\
+sable"])}}class AddSilentPrint extends Option01{constructor(e){super(Qo,"addSilentPrint")}}class AddViewerPreferences extends Option01{constructor(e){super(Qo,"addViewerPreferences")}}class AdjustData extends Option10{constructor(e){super(Qo,"adjustData")}}class AdobeExtensionLevel extends IntegerObject{constructor(e){super(Qo,"adobeExtensionLevel",0,(e=>e>=1&&e<=8))}}class Agent extends XFAObject{constructor(e){super(Qo,"agent",!0);this.name=e.name?e.name.trim():"";this.common=new XFAObjectArra\
+y}}class AlwaysEmbed extends ContentObject{constructor(e){super(Qo,"alwaysEmbed")}}class Amd extends StringObject{constructor(e){super(Qo,"amd")}}class config_Area extends XFAObject{constructor(e){super(Qo,"area");this.level=getInteger({data:e.level,defaultValue:0,validate:e=>e>=1&&e<=3});this.name=getStringOption(e.name,["","barcode","coreinit","deviceDriver","font","general","layout","merge","script","signature","sourceSet","templateCache"])}}class Attributes extends OptionObject{constructor(e\
+){super(Qo,"attributes",["preserve","delegate","ignore"])}}class AutoSave extends OptionObject{constructor(e){super(Qo,"autoSave",["disabled","enabled"])}}class Base extends StringObject{constructor(e){super(Qo,"base")}}class BatchOutput extends XFAObject{constructor(e){super(Qo,"batchOutput");this.format=getStringOption(e.format,["none","concat","zip","zipCompress"])}}class BehaviorOverride extends ContentObject{constructor(e){super(Qo,"behaviorOverride")}[hs](){this[ss]=new Map(this[ss].trim()\
+.split(/\\s+/).filter((e=>e.includes(":"))).map((e=>e.split(":",2))))}}class Cache extends XFAObject{constructor(e){super(Qo,"cache",!0);this.templateCache=null}}class Change extends Option01{constructor(e){super(Qo,"change")}}class Common extends XFAObject{constructor(e){super(Qo,"common",!0);this.data=null;this.locale=null;this.localeSet=null;this.messaging=null;this.suppressBanner=null;this.template=null;this.validationMessaging=null;this.versionControl=null;this.log=new XFAObjectArray}}class \
+Compress extends XFAObject{constructor(e){super(Qo,"compress");this.scope=getStringOption(e.scope,["imageOnly","document"])}}class CompressLogicalStructure extends Option01{constructor(e){super(Qo,"compressLogicalStructure")}}class CompressObjectStream extends Option10{constructor(e){super(Qo,"compressObjectStream")}}class Compression extends XFAObject{constructor(e){super(Qo,"compression",!0);this.compressLogicalStructure=null;this.compressObjectStream=null;this.level=null;this.type=null}}class\
+ Config extends XFAObject{constructor(e){super(Qo,"config",!0);this.acrobat=null;this.present=null;this.trace=null;this.agent=new XFAObjectArray}}class Conformance extends OptionObject{constructor(e){super(Qo,"conformance",["A","B"])}}class ContentCopy extends Option01{constructor(e){super(Qo,"contentCopy")}}class Copies extends IntegerObject{constructor(e){super(Qo,"copies",1,(e=>e>=1))}}class Creator extends StringObject{constructor(e){super(Qo,"creator")}}class CurrentPage extends IntegerObje\
+ct{constructor(e){super(Qo,"currentPage",0,(e=>e>=0))}}class Data extends XFAObject{constructor(e){super(Qo,"data",!0);this.adjustData=null;this.attributes=null;this.incrementalLoad=null;this.outputXSL=null;this.range=null;this.record=null;this.startNode=null;this.uri=null;this.window=null;this.xsl=null;this.excludeNS=new XFAObjectArray;this.transform=new XFAObjectArray}}class Debug extends XFAObject{constructor(e){super(Qo,"debug",!0);this.uri=null}}class DefaultTypeface extends ContentObject{c\
+onstructor(e){super(Qo,"defaultTypeface");this.writingScript=getStringOption(e.writingScript,["*","Arabic","Cyrillic","EastEuropeanRoman","Greek","Hebrew","Japanese","Korean","Roman","SimplifiedChinese","Thai","TraditionalChinese","Vietnamese"])}}class Destination extends OptionObject{constructor(e){super(Qo,"destination",["pdf","pcl","ps","webClient","zpl"])}}class DocumentAssembly extends Option01{constructor(e){super(Qo,"documentAssembly")}}class Driver extends XFAObject{constructor(e){super(\
+Qo,"driver",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class DuplexOption extends OptionObject{constructor(e){super(Qo,"duplexOption",["simplex","duplexFlipLongEdge","duplexFlipShortEdge"])}}class DynamicRender extends OptionObject{constructor(e){super(Qo,"dynamicRender",["forbidden","required"])}}class Embed extends Option01{constructor(e){super(Qo,"embed")}}class config_Encrypt extends Option01{constructor(e){super(Qo,"encrypt")}}class config_Encryption extends XFA\
+Object{constructor(e){super(Qo,"encryption",!0);this.encrypt=null;this.encryptionLevel=null;this.permissions=null}}class EncryptionLevel extends OptionObject{constructor(e){super(Qo,"encryptionLevel",["40bit","128bit"])}}class Enforce extends StringObject{constructor(e){super(Qo,"enforce")}}class Equate extends XFAObject{constructor(e){super(Qo,"equate");this.force=getInteger({data:e.force,defaultValue:1,validate:e=>0===e});this.from=e.from||"";this.to=e.to||""}}class EquateRange extends XFAObje\
+ct{constructor(e){super(Qo,"equateRange");this.from=e.from||"";this.to=e.to||"";this._unicodeRange=e.unicodeRange||""}get unicodeRange(){const e=[],t=/U\\+([0-9a-fA-F]+)/,a=this._unicodeRange;for(let r of a.split(",").map((e=>e.trim())).filter((e=>!!e))){r=r.split("-",2).map((e=>{const a=e.match(t);return a?parseInt(a[1],16):0}));1===r.length&&r.push(r[0]);e.push(r)}return shadow(this,"unicodeRange",e)}}class Exclude extends ContentObject{constructor(e){super(Qo,"exclude")}[hs](){this[ss]=this[ss\
+].trim().split(/\\s+/).filter((e=>e&&["calculate","close","enter","exit","initialize","ready","validate"].includes(e)))}}class ExcludeNS extends StringObject{constructor(e){super(Qo,"excludeNS")}}class FlipLabel extends OptionObject{constructor(e){super(Qo,"flipLabel",["usePrinterSetting","on","off"])}}class config_FontInfo extends XFAObject{constructor(e){super(Qo,"fontInfo",!0);this.embed=null;this.map=null;this.subsetBelow=null;this.alwaysEmbed=new XFAObjectArray;this.defaultTypeface=new XFAOb\
+jectArray;this.neverEmbed=new XFAObjectArray}}class FormFieldFilling extends Option01{constructor(e){super(Qo,"formFieldFilling")}}class GroupParent extends StringObject{constructor(e){super(Qo,"groupParent")}}class IfEmpty extends OptionObject{constructor(e){super(Qo,"ifEmpty",["dataValue","dataGroup","ignore","remove"])}}class IncludeXDPContent extends StringObject{constructor(e){super(Qo,"includeXDPContent")}}class IncrementalLoad extends OptionObject{constructor(e){super(Qo,"incrementalLoad"\
+,["none","forwardOnly"])}}class IncrementalMerge extends Option01{constructor(e){super(Qo,"incrementalMerge")}}class Interactive extends Option01{constructor(e){super(Qo,"interactive")}}class Jog extends OptionObject{constructor(e){super(Qo,"jog",["usePrinterSetting","none","pageSet"])}}class LabelPrinter extends XFAObject{constructor(e){super(Qo,"labelPrinter",!0);this.name=getStringOption(e.name,["zpl","dpl","ipl","tcpl"]);this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=n\
+ull}}class Layout extends OptionObject{constructor(e){super(Qo,"layout",["paginate","panel"])}}class Level extends IntegerObject{constructor(e){super(Qo,"level",0,(e=>e>0))}}class Linearized extends Option01{constructor(e){super(Qo,"linearized")}}class Locale extends StringObject{constructor(e){super(Qo,"locale")}}class LocaleSet extends StringObject{constructor(e){super(Qo,"localeSet")}}class Log extends XFAObject{constructor(e){super(Qo,"log",!0);this.mode=null;this.threshold=null;this.to=null\
+;this.uri=null}}class MapElement extends XFAObject{constructor(e){super(Qo,"map",!0);this.equate=new XFAObjectArray;this.equateRange=new XFAObjectArray}}class MediumInfo extends XFAObject{constructor(e){super(Qo,"mediumInfo",!0);this.map=null}}class config_Message extends XFAObject{constructor(e){super(Qo,"message",!0);this.msgId=null;this.severity=null}}class Messaging extends XFAObject{constructor(e){super(Qo,"messaging",!0);this.message=new XFAObjectArray}}class Mode extends OptionObject{cons\
+tructor(e){super(Qo,"mode",["append","overwrite"])}}class ModifyAnnots extends Option01{constructor(e){super(Qo,"modifyAnnots")}}class MsgId extends IntegerObject{constructor(e){super(Qo,"msgId",1,(e=>e>=1))}}class NameAttr extends StringObject{constructor(e){super(Qo,"nameAttr")}}class NeverEmbed extends ContentObject{constructor(e){super(Qo,"neverEmbed")}}class NumberOfCopies extends IntegerObject{constructor(e){super(Qo,"numberOfCopies",null,(e=>e>=2&&e<=5))}}class OpenAction extends XFAObjec\
+t{constructor(e){super(Qo,"openAction",!0);this.destination=null}}class Output extends XFAObject{constructor(e){super(Qo,"output",!0);this.to=null;this.type=null;this.uri=null}}class OutputBin extends StringObject{constructor(e){super(Qo,"outputBin")}}class OutputXSL extends XFAObject{constructor(e){super(Qo,"outputXSL",!0);this.uri=null}}class Overprint extends OptionObject{constructor(e){super(Qo,"overprint",["none","both","draw","field"])}}class Packets extends StringObject{constructor(e){sup\
+er(Qo,"packets")}[hs](){"*"!==this[ss]&&(this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["config","datasets","template","xfdf","xslt"].includes(e))))}}class PageOffset extends XFAObject{constructor(e){super(Qo,"pageOffset");this.x=getInteger({data:e.x,defaultValue:"useXDCSetting",validate:e=>!0});this.y=getInteger({data:e.y,defaultValue:"useXDCSetting",validate:e=>!0})}}class PageRange extends StringObject{constructor(e){super(Qo,"pageRange")}[hs](){const e=this[ss].trim().split(/\\s+/).map((e=\
+>parseInt(e,10))),t=[];for(let a=0,r=e.length;a<r;a+=2)t.push(e.slice(a,a+2));this[ss]=t}}class Pagination extends OptionObject{constructor(e){super(Qo,"pagination",["simplex","duplexShortEdge","duplexLongEdge"])}}class PaginationOverride extends OptionObject{constructor(e){super(Qo,"paginationOverride",["none","forceDuplex","forceDuplexLongEdge","forceDuplexShortEdge","forceSimplex"])}}class Part extends IntegerObject{constructor(e){super(Qo,"part",1,(e=>!1))}}class Pcl extends XFAObject{constr\
+uctor(e){super(Qo,"pcl",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.pageOffset=null;this.staple=null;this.xdc=null}}class Pdf extends XFAObject{constructor(e){super(Qo,"pdf",!0);this.name=e.name||"";this.adobeExtensionLevel=null;this.batchOutput=null;this.compression=null;this.creator=null;this.encryption=null;this.fontInfo=null;this.interactive=null;this.linearized=null;this.openAction=null;this.pdfa=null;this.pro\
+ducer=null;this.renderPolicy=null;this.scriptModel=null;this.silentPrint=null;this.submitFormat=null;this.tagged=null;this.version=null;this.viewerPreferences=null;this.xdc=null}}class Pdfa extends XFAObject{constructor(e){super(Qo,"pdfa",!0);this.amd=null;this.conformance=null;this.includeXDPContent=null;this.part=null}}class Permissions extends XFAObject{constructor(e){super(Qo,"permissions",!0);this.accessibleContent=null;this.change=null;this.contentCopy=null;this.documentAssembly=null;this.\
+formFieldFilling=null;this.modifyAnnots=null;this.plaintextMetadata=null;this.print=null;this.printHighQuality=null}}class PickTrayByPDFSize extends Option01{constructor(e){super(Qo,"pickTrayByPDFSize")}}class config_Picture extends StringObject{constructor(e){super(Qo,"picture")}}class PlaintextMetadata extends Option01{constructor(e){super(Qo,"plaintextMetadata")}}class Presence extends OptionObject{constructor(e){super(Qo,"presence",["preserve","dissolve","dissolveStructure","ignore","remove"\
+])}}class Present extends XFAObject{constructor(e){super(Qo,"present",!0);this.behaviorOverride=null;this.cache=null;this.common=null;this.copies=null;this.destination=null;this.incrementalMerge=null;this.layout=null;this.output=null;this.overprint=null;this.pagination=null;this.paginationOverride=null;this.script=null;this.validate=null;this.xdp=null;this.driver=new XFAObjectArray;this.labelPrinter=new XFAObjectArray;this.pcl=new XFAObjectArray;this.pdf=new XFAObjectArray;this.ps=new XFAObjectA\
+rray;this.submitUrl=new XFAObjectArray;this.webClient=new XFAObjectArray;this.zpl=new XFAObjectArray}}class Print extends Option01{constructor(e){super(Qo,"print")}}class PrintHighQuality extends Option01{constructor(e){super(Qo,"printHighQuality")}}class PrintScaling extends OptionObject{constructor(e){super(Qo,"printScaling",["appdefault","noScaling"])}}class PrinterName extends StringObject{constructor(e){super(Qo,"printerName")}}class Producer extends StringObject{constructor(e){super(Qo,"pr\
+oducer")}}class Ps extends XFAObject{constructor(e){super(Qo,"ps",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.staple=null;this.xdc=null}}class Range extends ContentObject{constructor(e){super(Qo,"range")}[hs](){this[ss]=this[ss].split(",",2).map((e=>e.split("-").map((e=>parseInt(e.trim(),10))))).filter((e=>e.every((e=>!isNaN(e))))).map((e=>{1===e.length&&e.push(e[0]);return e}))}}class Record extends ContentObject{\
+constructor(e){super(Qo,"record")}[hs](){this[ss]=this[ss].trim();const e=parseInt(this[ss],10);!isNaN(e)&&e>=0&&(this[ss]=e)}}class Relevant extends ContentObject{constructor(e){super(Qo,"relevant")}[hs](){this[ss]=this[ss].trim().split(/\\s+/)}}class Rename extends ContentObject{constructor(e){super(Qo,"rename")}[hs](){this[ss]=this[ss].trim();(this[ss].toLowerCase().startsWith("xml")||new RegExp("[\\\\p{L}_][\\\\p{L}\\\\d._\\\\p{M}-]*","u").test(this[ss]))&&warn("XFA - Rename: invalid XFA name")}}clas\
+s RenderPolicy extends OptionObject{constructor(e){super(Qo,"renderPolicy",["server","client"])}}class RunScripts extends OptionObject{constructor(e){super(Qo,"runScripts",["both","client","none","server"])}}class config_Script extends XFAObject{constructor(e){super(Qo,"script",!0);this.currentPage=null;this.exclude=null;this.runScripts=null}}class ScriptModel extends OptionObject{constructor(e){super(Qo,"scriptModel",["XFA","none"])}}class Severity extends OptionObject{constructor(e){super(Qo,"\
+severity",["ignore","error","information","trace","warning"])}}class SilentPrint extends XFAObject{constructor(e){super(Qo,"silentPrint",!0);this.addSilentPrint=null;this.printerName=null}}class Staple extends XFAObject{constructor(e){super(Qo,"staple");this.mode=getStringOption(e.mode,["usePrinterSetting","on","off"])}}class StartNode extends StringObject{constructor(e){super(Qo,"startNode")}}class StartPage extends IntegerObject{constructor(e){super(Qo,"startPage",0,(e=>!0))}}class SubmitForma\
+t extends OptionObject{constructor(e){super(Qo,"submitFormat",["html","delegate","fdf","xml","pdf"])}}class SubmitUrl extends StringObject{constructor(e){super(Qo,"submitUrl")}}class SubsetBelow extends IntegerObject{constructor(e){super(Qo,"subsetBelow",100,(e=>e>=0&&e<=100))}}class SuppressBanner extends Option01{constructor(e){super(Qo,"suppressBanner")}}class Tagged extends Option01{constructor(e){super(Qo,"tagged")}}class config_Template extends XFAObject{constructor(e){super(Qo,"template",\
+!0);this.base=null;this.relevant=null;this.startPage=null;this.uri=null;this.xsl=null}}class Threshold extends OptionObject{constructor(e){super(Qo,"threshold",["trace","error","information","warning"])}}class To extends OptionObject{constructor(e){super(Qo,"to",["null","memory","stderr","stdout","system","uri"])}}class TemplateCache extends XFAObject{constructor(e){super(Qo,"templateCache");this.maxEntries=getInteger({data:e.maxEntries,defaultValue:5,validate:e=>e>=0})}}class Trace extends XFAO\
+bject{constructor(e){super(Qo,"trace",!0);this.area=new XFAObjectArray}}class Transform extends XFAObject{constructor(e){super(Qo,"transform",!0);this.groupParent=null;this.ifEmpty=null;this.nameAttr=null;this.picture=null;this.presence=null;this.rename=null;this.whitespace=null}}class Type extends OptionObject{constructor(e){super(Qo,"type",["none","ascii85","asciiHex","ccittfax","flate","lzw","runLength","native","xdp","mergedXDP"])}}class Uri extends StringObject{constructor(e){super(Qo,"uri"\
+)}}class config_Validate extends OptionObject{constructor(e){super(Qo,"validate",["preSubmit","prePrint","preExecute","preSave"])}}class ValidateApprovalSignatures extends ContentObject{constructor(e){super(Qo,"validateApprovalSignatures")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["docReady","postSign"].includes(e)))}}class ValidationMessaging extends OptionObject{constructor(e){super(Qo,"validationMessaging",["allMessagesIndividually","allMessagesTogether","firstMessageOnly","noM\
+essages"])}}class Version extends OptionObject{constructor(e){super(Qo,"version",["1.7","1.6","1.5","1.4","1.3","1.2"])}}class VersionControl extends XFAObject{constructor(e){super(Qo,"VersionControl");this.outputBelow=getStringOption(e.outputBelow,["warn","error","update"]);this.sourceAbove=getStringOption(e.sourceAbove,["warn","error"]);this.sourceBelow=getStringOption(e.sourceBelow,["update","maintain"])}}class ViewerPreferences extends XFAObject{constructor(e){super(Qo,"viewerPreferences",!0\
+);this.ADBE_JSConsole=null;this.ADBE_JSDebugger=null;this.addViewerPreferences=null;this.duplexOption=null;this.enforce=null;this.numberOfCopies=null;this.pageRange=null;this.pickTrayByPDFSize=null;this.printScaling=null}}class WebClient extends XFAObject{constructor(e){super(Qo,"webClient",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class Whitespace extends OptionObject{constructor(e){super(Qo,"whitespace",["preserve","ltrim","normalize","rtrim","trim"])}}class Windo\
+w extends ContentObject{constructor(e){super(Qo,"window")}[hs](){const e=this[ss].split(",",2).map((e=>parseInt(e.trim(),10)));if(e.some((e=>isNaN(e))))this[ss]=[0,0];else{1===e.length&&e.push(e[0]);this[ss]=e}}}class Xdc extends XFAObject{constructor(e){super(Qo,"xdc",!0);this.uri=new XFAObjectArray;this.xsl=new XFAObjectArray}}class Xdp extends XFAObject{constructor(e){super(Qo,"xdp",!0);this.packets=null}}class Xsl extends XFAObject{constructor(e){super(Qo,"xsl",!0);this.debug=null;this.uri=n\
+ull}}class Zpl extends XFAObject{constructor(e){super(Qo,"zpl",!0);this.name=e.name?e.name.trim():"";this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class ConfigNamespace{static[fo](e,t){if(ConfigNamespace.hasOwnProperty(e))return ConfigNamespace[e](t)}static acrobat(e){return new Acrobat(e)}static acrobat7(e){return new Acrobat7(e)}static ADBE_JSConsole(e){return new ADBE_JSConsole(e)}static ADBE_JSDebugger(e){return new ADBE_JSDebugger(e)}static addSilentPrint(e){re\
+turn new AddSilentPrint(e)}static addViewerPreferences(e){return new AddViewerPreferences(e)}static adjustData(e){return new AdjustData(e)}static adobeExtensionLevel(e){return new AdobeExtensionLevel(e)}static agent(e){return new Agent(e)}static alwaysEmbed(e){return new AlwaysEmbed(e)}static amd(e){return new Amd(e)}static area(e){return new config_Area(e)}static attributes(e){return new Attributes(e)}static autoSave(e){return new AutoSave(e)}static base(e){return new Base(e)}static batchOutput\
+(e){return new BatchOutput(e)}static behaviorOverride(e){return new BehaviorOverride(e)}static cache(e){return new Cache(e)}static change(e){return new Change(e)}static common(e){return new Common(e)}static compress(e){return new Compress(e)}static compressLogicalStructure(e){return new CompressLogicalStructure(e)}static compressObjectStream(e){return new CompressObjectStream(e)}static compression(e){return new Compression(e)}static config(e){return new Config(e)}static conformance(e){return new\
+ Conformance(e)}static contentCopy(e){return new ContentCopy(e)}static copies(e){return new Copies(e)}static creator(e){return new Creator(e)}static currentPage(e){return new CurrentPage(e)}static data(e){return new Data(e)}static debug(e){return new Debug(e)}static defaultTypeface(e){return new DefaultTypeface(e)}static destination(e){return new Destination(e)}static documentAssembly(e){return new DocumentAssembly(e)}static driver(e){return new Driver(e)}static duplexOption(e){return new Duplex\
+Option(e)}static dynamicRender(e){return new DynamicRender(e)}static embed(e){return new Embed(e)}static encrypt(e){return new config_Encrypt(e)}static encryption(e){return new config_Encryption(e)}static encryptionLevel(e){return new EncryptionLevel(e)}static enforce(e){return new Enforce(e)}static equate(e){return new Equate(e)}static equateRange(e){return new EquateRange(e)}static exclude(e){return new Exclude(e)}static excludeNS(e){return new ExcludeNS(e)}static flipLabel(e){return new FlipL\
+abel(e)}static fontInfo(e){return new config_FontInfo(e)}static formFieldFilling(e){return new FormFieldFilling(e)}static groupParent(e){return new GroupParent(e)}static ifEmpty(e){return new IfEmpty(e)}static includeXDPContent(e){return new IncludeXDPContent(e)}static incrementalLoad(e){return new IncrementalLoad(e)}static incrementalMerge(e){return new IncrementalMerge(e)}static interactive(e){return new Interactive(e)}static jog(e){return new Jog(e)}static labelPrinter(e){return new LabelPrin\
+ter(e)}static layout(e){return new Layout(e)}static level(e){return new Level(e)}static linearized(e){return new Linearized(e)}static locale(e){return new Locale(e)}static localeSet(e){return new LocaleSet(e)}static log(e){return new Log(e)}static map(e){return new MapElement(e)}static mediumInfo(e){return new MediumInfo(e)}static message(e){return new config_Message(e)}static messaging(e){return new Messaging(e)}static mode(e){return new Mode(e)}static modifyAnnots(e){return new ModifyAnnots(e)\
+}static msgId(e){return new MsgId(e)}static nameAttr(e){return new NameAttr(e)}static neverEmbed(e){return new NeverEmbed(e)}static numberOfCopies(e){return new NumberOfCopies(e)}static openAction(e){return new OpenAction(e)}static output(e){return new Output(e)}static outputBin(e){return new OutputBin(e)}static outputXSL(e){return new OutputXSL(e)}static overprint(e){return new Overprint(e)}static packets(e){return new Packets(e)}static pageOffset(e){return new PageOffset(e)}static pageRange(e)\
+{return new PageRange(e)}static pagination(e){return new Pagination(e)}static paginationOverride(e){return new PaginationOverride(e)}static part(e){return new Part(e)}static pcl(e){return new Pcl(e)}static pdf(e){return new Pdf(e)}static pdfa(e){return new Pdfa(e)}static permissions(e){return new Permissions(e)}static pickTrayByPDFSize(e){return new PickTrayByPDFSize(e)}static picture(e){return new config_Picture(e)}static plaintextMetadata(e){return new PlaintextMetadata(e)}static presence(e){r\
+eturn new Presence(e)}static present(e){return new Present(e)}static print(e){return new Print(e)}static printHighQuality(e){return new PrintHighQuality(e)}static printScaling(e){return new PrintScaling(e)}static printerName(e){return new PrinterName(e)}static producer(e){return new Producer(e)}static ps(e){return new Ps(e)}static range(e){return new Range(e)}static record(e){return new Record(e)}static relevant(e){return new Relevant(e)}static rename(e){return new Rename(e)}static renderPolicy(\
+e){return new RenderPolicy(e)}static runScripts(e){return new RunScripts(e)}static script(e){return new config_Script(e)}static scriptModel(e){return new ScriptModel(e)}static severity(e){return new Severity(e)}static silentPrint(e){return new SilentPrint(e)}static staple(e){return new Staple(e)}static startNode(e){return new StartNode(e)}static startPage(e){return new StartPage(e)}static submitFormat(e){return new SubmitFormat(e)}static submitUrl(e){return new SubmitUrl(e)}static subsetBelow(e)\
+{return new SubsetBelow(e)}static suppressBanner(e){return new SuppressBanner(e)}static tagged(e){return new Tagged(e)}static template(e){return new config_Template(e)}static templateCache(e){return new TemplateCache(e)}static threshold(e){return new Threshold(e)}static to(e){return new To(e)}static trace(e){return new Trace(e)}static transform(e){return new Transform(e)}static type(e){return new Type(e)}static uri(e){return new Uri(e)}static validate(e){return new config_Validate(e)}static vali\
+dateApprovalSignatures(e){return new ValidateApprovalSignatures(e)}static validationMessaging(e){return new ValidationMessaging(e)}static version(e){return new Version(e)}static versionControl(e){return new VersionControl(e)}static viewerPreferences(e){return new ViewerPreferences(e)}static webClient(e){return new WebClient(e)}static whitespace(e){return new Whitespace(e)}static window(e){return new Window(e)}static xdc(e){return new Xdc(e)}static xdp(e){return new Xdp(e)}static xsl(e){return ne\
+w Xsl(e)}static zpl(e){return new Zpl(e)}}const ec=go.connectionSet.id;class ConnectionSet extends XFAObject{constructor(e){super(ec,"connectionSet",!0);this.wsdlConnection=new XFAObjectArray;this.xmlConnection=new XFAObjectArray;this.xsdConnection=new XFAObjectArray}}class EffectiveInputPolicy extends XFAObject{constructor(e){super(ec,"effectiveInputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EffectiveOutputPolicy extends XFAObject{constru\
+ctor(e){super(ec,"effectiveOutputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Operation extends StringObject{constructor(e){super(ec,"operation");this.id=e.id||"";this.input=e.input||"";this.name=e.name||"";this.output=e.output||"";this.use=e.use||"";this.usehref=e.usehref||""}}class RootElement extends StringObject{constructor(e){super(ec,"rootElement");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}cla\
+ss SoapAction extends StringObject{constructor(e){super(ec,"soapAction");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAddress extends StringObject{constructor(e){super(ec,"soapAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class connection_set_Uri extends StringObject{constructor(e){super(ec,"uri");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlAddress\
+ extends StringObject{constructor(e){super(ec,"wsdlAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlConnection extends XFAObject{constructor(e){super(ec,"wsdlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.effectiveInputPolicy=null;this.effectiveOutputPolicy=null;this.operation=null;this.soapAction=null;this.soapAddress=null;this.wsdlAddress=null}}class XmlConnection extends XFAObject{constructor(e){supe\
+r(ec,"xmlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.uri=null}}class XsdConnection extends XFAObject{constructor(e){super(ec,"xsdConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.rootElement=null;this.uri=null}}class ConnectionSetNamespace{static[fo](e,t){if(ConnectionSetNamespace.hasOwnProperty(e))return ConnectionSetNamespace[e](t)}static connectionSet(e){return new ConnectionSet(e)}static effectiveInputPolicy(e){retur\
+n new EffectiveInputPolicy(e)}static effectiveOutputPolicy(e){return new EffectiveOutputPolicy(e)}static operation(e){return new Operation(e)}static rootElement(e){return new RootElement(e)}static soapAction(e){return new SoapAction(e)}static soapAddress(e){return new SoapAddress(e)}static uri(e){return new connection_set_Uri(e)}static wsdlAddress(e){return new WsdlAddress(e)}static wsdlConnection(e){return new WsdlConnection(e)}static xmlConnection(e){return new XmlConnection(e)}static xsdConne\
+ction(e){return new XsdConnection(e)}}const tc=go.datasets.id;class datasets_Data extends XmlObject{constructor(e){super(tc,"data",e)}[Ls](){return!0}}class Datasets extends XFAObject{constructor(e){super(tc,"datasets",!0);this.data=null;this.Signature=null}[$s](e){const t=e[Ws];("data"===t&&e[Hs]===tc||"Signature"===t&&e[Hs]===go.signature.id)&&(this[t]=e);this[Qn](e)}}class DatasetsNamespace{static[fo](e,t){if(DatasetsNamespace.hasOwnProperty(e))return DatasetsNamespace[e](t)}static datasets(e\
+){return new Datasets(e)}static data(e){return new datasets_Data(e)}}const ac=go.localeSet.id;class CalendarSymbols extends XFAObject{constructor(e){super(ac,"calendarSymbols",!0);this.name="gregorian";this.dayNames=new XFAObjectArray(2);this.eraNames=null;this.meridiemNames=null;this.monthNames=new XFAObjectArray(2)}}class CurrencySymbol extends StringObject{constructor(e){super(ac,"currencySymbol");this.name=getStringOption(e.name,["symbol","isoname","decimal"])}}class CurrencySymbols extends \
+XFAObject{constructor(e){super(ac,"currencySymbols",!0);this.currencySymbol=new XFAObjectArray(3)}}class DatePattern extends StringObject{constructor(e){super(ac,"datePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class DatePatterns extends XFAObject{constructor(e){super(ac,"datePatterns",!0);this.datePattern=new XFAObjectArray(4)}}class DateTimeSymbols extends ContentObject{constructor(e){super(ac,"dateTimeSymbols")}}class Day extends StringObject{constructor(e){supe\
+r(ac,"day")}}class DayNames extends XFAObject{constructor(e){super(ac,"dayNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.day=new XFAObjectArray(7)}}class Era extends StringObject{constructor(e){super(ac,"era")}}class EraNames extends XFAObject{constructor(e){super(ac,"eraNames",!0);this.era=new XFAObjectArray(2)}}class locale_set_Locale extends XFAObject{constructor(e){super(ac,"locale",!0);this.desc=e.desc||"";this.name="isoname";this.calendarSymbols=null;t\
+his.currencySymbols=null;this.datePatterns=null;this.dateTimeSymbols=null;this.numberPatterns=null;this.numberSymbols=null;this.timePatterns=null;this.typeFaces=null}}class locale_set_LocaleSet extends XFAObject{constructor(e){super(ac,"localeSet",!0);this.locale=new XFAObjectArray}}class Meridiem extends StringObject{constructor(e){super(ac,"meridiem")}}class MeridiemNames extends XFAObject{constructor(e){super(ac,"meridiemNames",!0);this.meridiem=new XFAObjectArray(2)}}class Month extends Stri\
+ngObject{constructor(e){super(ac,"month")}}class MonthNames extends XFAObject{constructor(e){super(ac,"monthNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.month=new XFAObjectArray(12)}}class NumberPattern extends StringObject{constructor(e){super(ac,"numberPattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class NumberPatterns extends XFAObject{constructor(e){super(ac,"numberPatterns",!0);this.numberPattern=new XFAObjectArray(4)}}clas\
+s NumberSymbol extends StringObject{constructor(e){super(ac,"numberSymbol");this.name=getStringOption(e.name,["decimal","grouping","percent","minus","zero"])}}class NumberSymbols extends XFAObject{constructor(e){super(ac,"numberSymbols",!0);this.numberSymbol=new XFAObjectArray(5)}}class TimePattern extends StringObject{constructor(e){super(ac,"timePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class TimePatterns extends XFAObject{constructor(e){super(ac,"timePatterns"\
+,!0);this.timePattern=new XFAObjectArray(4)}}class TypeFace extends XFAObject{constructor(e){super(ac,"typeFace",!0);this.name=""|e.name}}class TypeFaces extends XFAObject{constructor(e){super(ac,"typeFaces",!0);this.typeFace=new XFAObjectArray}}class LocaleSetNamespace{static[fo](e,t){if(LocaleSetNamespace.hasOwnProperty(e))return LocaleSetNamespace[e](t)}static calendarSymbols(e){return new CalendarSymbols(e)}static currencySymbol(e){return new CurrencySymbol(e)}static currencySymbols(e){retur\
+n new CurrencySymbols(e)}static datePattern(e){return new DatePattern(e)}static datePatterns(e){return new DatePatterns(e)}static dateTimeSymbols(e){return new DateTimeSymbols(e)}static day(e){return new Day(e)}static dayNames(e){return new DayNames(e)}static era(e){return new Era(e)}static eraNames(e){return new EraNames(e)}static locale(e){return new locale_set_Locale(e)}static localeSet(e){return new locale_set_LocaleSet(e)}static meridiem(e){return new Meridiem(e)}static meridiemNames(e){ret\
+urn new MeridiemNames(e)}static month(e){return new Month(e)}static monthNames(e){return new MonthNames(e)}static numberPattern(e){return new NumberPattern(e)}static numberPatterns(e){return new NumberPatterns(e)}static numberSymbol(e){return new NumberSymbol(e)}static numberSymbols(e){return new NumberSymbols(e)}static timePattern(e){return new TimePattern(e)}static timePatterns(e){return new TimePatterns(e)}static typeFace(e){return new TypeFace(e)}static typeFaces(e){return new TypeFaces(e)}}\
+const rc=go.signature.id;class signature_Signature extends XFAObject{constructor(e){super(rc,"signature",!0)}}class SignatureNamespace{static[fo](e,t){if(SignatureNamespace.hasOwnProperty(e))return SignatureNamespace[e](t)}static signature(e){return new signature_Signature(e)}}const ic=go.stylesheet.id;class Stylesheet extends XFAObject{constructor(e){super(ic,"stylesheet",!0)}}class StylesheetNamespace{static[fo](e,t){if(StylesheetNamespace.hasOwnProperty(e))return StylesheetNamespace[e](t)}sta\
+tic stylesheet(e){return new Stylesheet(e)}}const nc=go.xdp.id;class xdp_Xdp extends XFAObject{constructor(e){super(nc,"xdp",!0);this.uuid=e.uuid||"";this.timeStamp=e.timeStamp||"";this.config=null;this.connectionSet=null;this.datasets=null;this.localeSet=null;this.stylesheet=new XFAObjectArray;this.template=null}[Gs](e){const t=go[e[Ws]];return t&&e[Hs]===t.id}}class XdpNamespace{static[fo](e,t){if(XdpNamespace.hasOwnProperty(e))return XdpNamespace[e](t)}static xdp(e){return new xdp_Xdp(e)}}con\
+st sc=go.xhtml.id,oc=Symbol(),cc=new Set(["color","font","font-family","font-size","font-stretch","font-style","font-weight","margin","margin-bottom","margin-left","margin-right","margin-top","letter-spacing","line-height","orphans","page-break-after","page-break-before","page-break-inside","tab-interval","tab-stop","text-align","text-decoration","text-indent","vertical-align","widows","kerning-mode","xfa-font-horizontal-scale","xfa-font-vertical-scale","xfa-spacerun","xfa-tab-stops"]),lc=new Ma\
+p([["page-break-after","breakAfter"],["page-break-before","breakBefore"],["page-break-inside","breakInside"],["kerning-mode",e=>"none"===e?"none":"normal"],["xfa-font-horizontal-scale",e=>`scaleX(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-font-vertical-scale",e=>`scaleY(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-spacerun",""],["xfa-tab-stops",""],["font-size",(e,t)=>measureToString(.99*(e=t.fontSize=Math.abs(getMeasurement(e))))],["letter-spacing",e=>measureToString(getMeasuremen\
+t(e))],["line-height",e=>measureToString(getMeasurement(e))],["margin",e=>measureToString(getMeasurement(e))],["margin-bottom",e=>measureToString(getMeasurement(e))],["margin-left",e=>measureToString(getMeasurement(e))],["margin-right",e=>measureToString(getMeasurement(e))],["margin-top",e=>measureToString(getMeasurement(e))],["text-indent",e=>measureToString(getMeasurement(e))],["font-family",e=>e],["vertical-align",e=>measureToString(getMeasurement(e))]]),hc=/\\s+/g,uc=/[\\r\\n]+/g,dc=/\\r\\n?/g;fu\
+nction mapStyle(e,t,a){const r=Object.create(null);if(!e)return r;const i=Object.create(null);for(const[t,a]of e.split(";").map((e=>e.split(":",2)))){const e=lc.get(t);if(""===e)continue;let n=a;e&&(n="string"==typeof e?e:e(a,i));t.endsWith("scale")?r.transform=r.transform?`${r[t]} ${n}`:n:r[t.replaceAll(/-([a-zA-Z])/g,((e,t)=>t.toUpperCase()))]=n}r.fontFamily&&setFontFamily({typeface:r.fontFamily,weight:r.fontWeight||"normal",posture:r.fontStyle||"normal",size:i.fontSize||0},t,t[Is].fontFinder,\
+r);if(a&&r.verticalAlign&&"0px"!==r.verticalAlign&&r.fontSize){const e=.583,t=.333,a=getMeasurement(r.fontSize);r.fontSize=measureToString(a*e);r.verticalAlign=measureToString(Math.sign(getMeasurement(r.verticalAlign))*a*t)}a&&r.fontSize&&(r.fontSize=`calc(${r.fontSize} * var(--total-scale-factor))`);fixTextIndent(r);return r}const fc=new Set(["body","html"]);class XhtmlObject extends XmlObject{constructor(e,t){super(sc,t);this[oc]=!1;this.style=e.style||""}[ts](e){super[ts](e);this.style=functi\
+on checkStyle(e){return e.style?e.style.split(";").filter((e=>!!e.trim())).map((e=>e.split(":",2).map((e=>e.trim())))).filter((([t,a])=>{"font-family"===t&&e[Is].usedTypefaces.add(a);return cc.has(t)})).map((e=>e.join(":"))).join(";"):""}(this)}[Yn](){return!fc.has(this[Ws])}[Vs](e,t=!1){if(t)this[oc]=!0;else{e=e.replaceAll(uc,"");this.style.includes("xfa-spacerun:yes")||(e=e.replaceAll(hc," "))}e&&(this[ss]+=e)}[Ks](e,t=!0){const a=Object.create(null),r={top:NaN,bottom:NaN,left:NaN,right:NaN};l\
+et i=null;for(const[e,t]of this.style.split(";").map((e=>e.split(":",2))))switch(e){case"font-family":a.typeface=stripQuotes(t);break;case"font-size":a.size=getMeasurement(t);break;case"font-weight":a.weight=t;break;case"font-style":a.posture=t;break;case"letter-spacing":a.letterSpacing=getMeasurement(t);break;case"margin":const e=t.split(/ \\t/).map((e=>getMeasurement(e)));switch(e.length){case 1:r.top=r.bottom=r.left=r.right=e[0];break;case 2:r.top=r.bottom=e[0];r.left=r.right=e[1];break;case 3\
+:r.top=e[0];r.bottom=e[2];r.left=r.right=e[1];break;case 4:r.top=e[0];r.left=e[1];r.bottom=e[2];r.right=e[3]}break;case"margin-top":r.top=getMeasurement(t);break;case"margin-bottom":r.bottom=getMeasurement(t);break;case"margin-left":r.left=getMeasurement(t);break;case"margin-right":r.right=getMeasurement(t);break;case"line-height":i=getMeasurement(t)}e.pushData(a,r,i);if(this[ss])e.addString(this[ss]);else for(const t of this[Ss]())"#text"!==t[Ws]?t[Ks](e):e.addString(t[ss]);t&&e.popFont()}[co](\
+e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length&&!this[ss])return HTMLResult.EMPTY;let a;a=this[oc]?this[ss]?this[ss].replaceAll(dc,"\\n"):void 0:this[ss]||void 0;return HTMLResult.success({name:this[Ws],attributes:{href:this.href,style:mapStyle(this.style,this,this[oc])},children:t,value:a})}}class A extends XhtmlObject{constructor(e){super(e,"a");this.href=fixURL(e.href)||""}}class B extends XhtmlObject{constructor(e){super(e,"b")}[Ks](e){e.pushFont({weight:"bold"});super[Ks](e\
+);e.popFont()}}class Body extends XhtmlObject{constructor(e){super(e,"body")}[co](e){const t=super[co](e),{html:a}=t;if(!a)return HTMLResult.EMPTY;a.name="div";a.attributes.class=["xfaRich"];return t}}class Br extends XhtmlObject{constructor(e){super(e,"br")}[so](){return"\\n"}[Ks](e){e.addString("\\n")}[co](e){return HTMLResult.success({name:"br"})}}class Html extends XhtmlObject{constructor(e){super(e,"html")}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length)return HTMLResult\
+.success({name:"div",attributes:{class:["xfaRich"],style:{}},value:this[ss]||""});if(1===t.length){const e=t[0];if(e.attributes?.class.includes("xfaRich"))return HTMLResult.success(e)}return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},children:t})}}class I extends XhtmlObject{constructor(e){super(e,"i")}[Ks](e){e.pushFont({posture:"italic"});super[Ks](e);e.popFont()}}class Li extends XhtmlObject{constructor(e){super(e,"li")}}class Ol extends XhtmlObject{constructor(e){\
+super(e,"ol")}}class P extends XhtmlObject{constructor(e){super(e,"p")}[Ks](e){super[Ks](e,!1);e.addString("\\n");e.addPara();e.popFont()}[so](){return this[vs]()[Ss]().at(-1)===this?super[so]():super[so]()+"\\n"}}class Span extends XhtmlObject{constructor(e){super(e,"span")}}class Sub extends XhtmlObject{constructor(e){super(e,"sub")}}class Sup extends XhtmlObject{constructor(e){super(e,"sup")}}class Ul extends XhtmlObject{constructor(e){super(e,"ul")}}class XhtmlNamespace{static[fo](e,t){if(Xhtm\
+lNamespace.hasOwnProperty(e))return XhtmlNamespace[e](t)}static a(e){return new A(e)}static b(e){return new B(e)}static body(e){return new Body(e)}static br(e){return new Br(e)}static html(e){return new Html(e)}static i(e){return new I(e)}static li(e){return new Li(e)}static ol(e){return new Ol(e)}static p(e){return new P(e)}static span(e){return new Span(e)}static sub(e){return new Sub(e)}static sup(e){return new Sup(e)}static ul(e){return new Ul(e)}}const gc={config:ConfigNamespace,connection:\
+ConnectionSetNamespace,datasets:DatasetsNamespace,localeSet:LocaleSetNamespace,signature:SignatureNamespace,stylesheet:StylesheetNamespace,template:TemplateNamespace,xdp:XdpNamespace,xhtml:XhtmlNamespace};class UnknownNamespace{constructor(e){this.namespaceId=e}[fo](e,t){return new XmlObject(this.namespaceId,e,t)}}class Root extends XFAObject{constructor(e){super(-1,"root",Object.create(null));this.element=null;this[Os]=e}[$s](e){this.element=e;return!0}[hs](){super[hs]();if(this.element.templat\
+e instanceof Template){this[Os].set(Qs,this.element);this.element.template[eo](this[Os]);this.element.template[Os]=this[Os]}}}class Empty extends XFAObject{constructor(){super(-1,"",Object.create(null))}[$s](e){return!1}}class Builder{constructor(e=null){this._namespaceStack=[];this._nsAgnosticLevel=0;this._namespacePrefixes=new Map;this._namespaces=new Map;this._nextNsId=Math.max(...Object.values(go).map((({id:e})=>e)));this._currentNamespace=e||new UnknownNamespace(++this._nextNsId)}buildRoot(\
+e){return new Root(e)}build({nsPrefix:e,name:t,attributes:a,namespace:r,prefixes:i}){const n=null!==r;if(n){this._namespaceStack.push(this._currentNamespace);this._currentNamespace=this._searchNamespace(r)}i&&this._addNamespacePrefix(i);if(a.hasOwnProperty(zs)){const e=gc.datasets,t=a[zs];let r=null;for(const[a,i]of Object.entries(t)){if(this._getNamespaceToUse(a)===e){r={xfa:i};break}}r?a[zs]=r:delete a[zs]}const s=this._getNamespaceToUse(e),o=s?.[fo](t,a)||new Empty;o[Ls]()&&this._nsAgnosticLe\
+vel++;(n||i||o[Ls]())&&(o[rs]={hasNamespace:n,prefixes:i,nsAgnostic:o[Ls]()});return o}isNsAgnostic(){return this._nsAgnosticLevel>0}_searchNamespace(e){let t=this._namespaces.get(e);if(t)return t;for(const[a,{check:r}]of Object.entries(go))if(r(e)){t=gc[a];if(t){this._namespaces.set(e,t);return t}break}t=new UnknownNamespace(++this._nextNsId);this._namespaces.set(e,t);return t}_addNamespacePrefix(e){for(const{prefix:t,value:a}of e){const e=this._searchNamespace(a);let r=this._namespacePrefixes.\
+get(t);if(!r){r=[];this._namespacePrefixes.set(t,r)}r.push(e)}}_getNamespaceToUse(e){if(!e)return this._currentNamespace;const t=this._namespacePrefixes.get(e);if(t?.length>0)return t.at(-1);warn(`Unknown namespace prefix: ${e}.`);return null}clean(e){const{hasNamespace:t,prefixes:a,nsAgnostic:r}=e;t&&(this._currentNamespace=this._namespaceStack.pop());a&&a.forEach((({prefix:e})=>{this._namespacePrefixes.get(e).pop()}));r&&this._nsAgnosticLevel--}}class XFAParser extends XMLParserBase{constructo\
+r(e=null,t=!1){super();this._builder=new Builder(e);this._stack=[];this._globalData={usedTypefaces:new Set};this._ids=new Map;this._current=this._builder.buildRoot(this._ids);this._errorCode=jn;this._whiteRegex=/^\\s+$/;this._nbsps=/\\xa0+/g;this._richText=t}parse(e){this.parseXml(e);if(this._errorCode===jn){this._current[hs]();return this._current.element}}onText(e){e=e.replace(this._nbsps,(e=>e.slice(1)+" "));this._richText||this._current[Yn]()?this._current[Vs](e,this._richText):this._whiteRege\
+x.test(e)||this._current[Vs](e.trim())}onCdata(e){this._current[Vs](e)}_mkAttributes(e,t){let a=null,r=null;const i=Object.create({});for(const{name:n,value:s}of e)if("xmlns"===n)a?warn(`XFA - multiple namespace definition in <${t}>`):a=s;else if(n.startsWith("xmlns:")){const e=n.substring(6);r??=[];r.push({prefix:e,value:s})}else{const e=n.indexOf(":");if(-1===e)i[n]=s;else{const t=i[zs]??=Object.create(null),[a,r]=[n.slice(0,e),n.slice(e+1)];(t[a]||=Object.create(null))[r]=s}}return[a,r,i]}_ge\
+tNameAndPrefix(e,t){const a=e.indexOf(":");return-1===a?[e,null]:[e.substring(a+1),t?"":e.substring(0,a)]}onBeginElement(e,t,a){const[r,i,n]=this._mkAttributes(t,e),[s,o]=this._getNameAndPrefix(e,this._builder.isNsAgnostic()),c=this._builder.build({nsPrefix:o,name:s,attributes:n,namespace:r,prefixes:i});c[Is]=this._globalData;if(a){c[hs]();this._current[$s](c)&&c[ao](this._ids);c[ts](this._builder)}else{this._stack.push(this._current);this._current=c}}onEndElement(e){const t=this._current;if(t[B\
+s]()&&"string"==typeof t[ss]){const e=new XFAParser;e._globalData=this._globalData;const a=e.parse(t[ss]);t[ss]=null;t[$s](a)}t[hs]();this._current=this._stack.pop();this._current[$s](t)&&t[ao](this._ids);t[ts](this._builder)}onError(e){this._errorCode=e}}class XFAFactory{constructor(e){try{this.root=(new XFAParser).parse(XFAFactory._createDocument(e));const t=new Binder(this.root);this.form=t.bind();this.dataHandler=new DataHandler(this.root,t.getData());this.form[Is].template=this.form}catch(e\
+){warn(`XFA - an error occurred during parsing and binding: ${e}`)}}isValid(){return!(!this.root||!this.form)}_createPagesHelper(){const e=this.form[oo]();return new Promise(((t,a)=>{const nextIteration=()=>{try{const a=e.next();a.done?t(a.value):setTimeout(nextIteration,0)}catch(e){a(e)}};setTimeout(nextIteration,0)}))}async _createPages(){try{this.pages=await this._createPagesHelper();this.dims=this.pages.children.map((e=>{const{width:t,height:a}=e.attributes.style;return[0,0,parseInt(t),parse\
+Int(a)]}))}catch(e){warn(`XFA - an error occurred during layout: ${e}`)}}getBoundingBox(e){return this.dims[e]}async getNumPages(){this.pages||await this._createPages();return this.dims.length}setImages(e){this.form[Is].images=e}setFonts(e){this.form[Is].fontFinder=new FontFinder(e);const t=[];for(let e of this.form[Is].usedTypefaces){e=stripQuotes(e);this.form[Is].fontFinder.find(e)||t.push(e)}return t.length>0?t:null}appendFonts(e,t){this.form[Is].fontFinder.add(e,t)}async getPages(){this.page\
+s||await this._createPages();const e=this.pages;this.pages=null;return e}serializeData(e){return this.dataHandler.serialize(e)}static _createDocument(e){return e["/xdp:xdp"]?Object.values(e).join(""):e["xdp:xdp"]}static getRichTextAsHtml(e){if(!e||"string"!=typeof e)return null;try{let t=new XFAParser(XhtmlNamespace,!0).parse(e);if(!["body","xhtml"].includes(t[Ws])){const e=XhtmlNamespace.body({});e[Qn](t);t=e}const a=t[co]();if(!a.success)return null;const{html:r}=a,{attributes:i}=r;if(i){i.cla\
+ss&&(i.class=i.class.filter((e=>!e.startsWith("xfa"))));i.dir="auto"}return{html:r,str:t[so]()}}catch(e){warn(`XFA - an error occurred during parsing of rich text: ${e}`)}return null}}class AnnotationFactory{static createGlobals(e){return Promise.all([e.ensureCatalog("acroForm"),e.ensureDoc("xfaDatasets"),e.ensureCatalog("structTreeRoot"),e.ensureCatalog("baseUrl"),e.ensureCatalog("attachments"),e.ensureCatalog("globalColorSpaceCache")]).then((([t,a,r,i,n,s])=>({pdfManager:e,acroForm:t instanceo\
+f Dict?t:Dict.empty,xfaDatasets:a,structTreeRoot:r,baseUrl:i,attachments:n,globalColorSpaceCache:s})),(e=>{warn(`createGlobals: "${e}".`);return null}))}static async create(e,t,a,r,i,n,s){const o=i?await this._getPageIndex(e,t,a.pdfManager):null;return a.pdfManager.ensure(this,"_create",[e,t,a,r,i,n,o,s])}static _create(e,t,a,r,i=!1,n=null,s=null,o=null){const c=e.fetchIfRef(t);if(!(c instanceof Dict))return;const{acroForm:l,pdfManager:h}=a,u=t instanceof Ref?t.toString():`annot_${r.createObjId(\
+)}`;let d=c.get("Subtype");d=d instanceof Name?d.name:null;const f={xref:e,ref:t,dict:c,subtype:d,id:u,annotationGlobals:a,collectFields:i,orphanFields:n,needAppearances:!i&&!0===l.get("NeedAppearances"),pageIndex:s,evaluatorOptions:h.evaluatorOptions,pageRef:o};switch(d){case"Link":return new LinkAnnotation(f);case"Text":return new TextAnnotation(f);case"Widget":let e=getInheritableProperty({dict:c,key:"FT"});e=e instanceof Name?e.name:null;switch(e){case"Tx":return new TextWidgetAnnotation(f);\
+case"Btn":return new ButtonWidgetAnnotation(f);case"Ch":return new ChoiceWidgetAnnotation(f);case"Sig":return new SignatureWidgetAnnotation(f)}warn(`Unimplemented widget field type "${e}", falling back to base field type.`);return new WidgetAnnotation(f);case"Popup":return new PopupAnnotation(f);case"FreeText":return new FreeTextAnnotation(f);case"Line":return new LineAnnotation(f);case"Square":return new SquareAnnotation(f);case"Circle":return new CircleAnnotation(f);case"PolyLine":return new P\
+olylineAnnotation(f);case"Polygon":return new PolygonAnnotation(f);case"Caret":return new CaretAnnotation(f);case"Ink":return new InkAnnotation(f);case"Highlight":return new HighlightAnnotation(f);case"Underline":return new UnderlineAnnotation(f);case"Squiggly":return new SquigglyAnnotation(f);case"StrikeOut":return new StrikeOutAnnotation(f);case"Stamp":return new StampAnnotation(f);case"FileAttachment":return new FileAttachmentAnnotation(f);default:i||warn(d?`Unimplemented annotation type "${d\
+}", falling back to base annotation.`:"Annotation is missing the required /Subtype.");return new Annotation(f)}}static async _getPageIndex(e,t,a){try{const r=await e.fetchIfRefAsync(t);if(!(r instanceof Dict))return-1;const i=r.getRaw("P");if(i instanceof Ref)try{return await a.ensureCatalog("getPageIndex",[i])}catch(e){info(`_getPageIndex -- not a valid page reference: "${e}".`)}if(r.has("Kids"))return-1;const n=await a.ensureDoc("numPages");for(let e=0;e<n;e++){const r=await a.getPage(e),i=awa\
+it a.ensure(r,"annotations");for(const a of i)if(a instanceof Ref&&isRefsEqual(a,t))return e}}catch(e){warn(`_getPageIndex: "${e}".`)}return-1}static generateImages(e,t,a){if(!a){warn("generateImages: OffscreenCanvas is not supported, cannot save or print some annotations with images.");return null}let r;for(const{bitmapId:a,bitmap:i}of e)if(i){r||=new Map;r.set(a,StampAnnotation.createImage(i,t))}return r}static async saveNewAnnotations(e,t,a,r,i){const n=e.xref;let s;const o=[],{isOffscreenCan\
+vasSupported:c}=e.options;for(const l of a)if(!l.deleted)switch(l.annotationType){case g:if(!s){const e=new Dict(n);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");s=n.getNewTemporaryRef();i.put(s,{data:e})}o.push(FreeTextAnnotation.createNewAnnotation(n,l,i,{evaluator:e,task:t,baseFontRef:s}));break;case p:l.quadPoints?o.push(HighlightAnnotation.createNewAnnotation(n,l,i)):o.push(InkAnnotation.createNewAnnot\
+ation(n,l,i));break;case b:o.push(InkAnnotation.createNewAnnotation(n,l,i));break;case m:const a=c?await(r?.get(l.bitmapId)):null;if(a?.imageStream){const{imageStream:e,smaskStream:t}=a;if(t){const a=n.getNewTemporaryRef();i.put(a,{data:t});e.dict.set("SMask",a)}const r=a.imageRef=n.getNewTemporaryRef();i.put(r,{data:e});a.imageStream=a.smaskStream=null}o.push(StampAnnotation.createNewAnnotation(n,l,i,{image:a}));break;case y:o.push(StampAnnotation.createNewAnnotation(n,l,i,{}))}return{annotatio\
+ns:(await Promise.all(o)).flat()}}static async printNewAnnotations(e,t,a,r,i){if(!r)return null;const{options:n,xref:s}=t,o=[];for(const c of r)if(!c.deleted)switch(c.annotationType){case g:o.push(FreeTextAnnotation.createNewPrintAnnotation(e,s,c,{evaluator:t,task:a,evaluatorOptions:n}));break;case p:c.quadPoints?o.push(HighlightAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n})):o.push(InkAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}));break;case b:o.push(InkAnnota\
+tion.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}));break;case m:const r=n.isOffscreenCanvasSupported?await(i?.get(c.bitmapId)):null;if(r?.imageStream){const{imageStream:e,smaskStream:t}=r;t&&e.dict.set("SMask",t);r.imageRef=new JpegStream(e,e.length);r.imageStream=r.smaskStream=null}o.push(StampAnnotation.createNewPrintAnnotation(e,s,c,{image:r,evaluatorOptions:n}));break;case y:o.push(StampAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}))}return Promise.all(o)}}function g\
+etRgbColor(e,t=new Uint8ClampedArray(3)){if(!Array.isArray(e))return t;const a=t||new Uint8ClampedArray(3);switch(e.length){case 0:return null;case 1:ColorSpaceUtils.gray.getRgbItem(e,0,a,0);return a;case 3:ColorSpaceUtils.rgb.getRgbItem(e,0,a,0);return a;case 4:ColorSpaceUtils.cmyk.getRgbItem(e,0,a,0);return a;default:return t}}function getPdfColorArray(e,t=null){return e&&Array.from(e,(e=>e/255))||t}function getQuadPoints(e,t){const a=e.getArray("QuadPoints");if(!isNumberArray(a,null)||0===a.l\
+ength||a.length%8>0)return null;const r=new Float32Array(a.length);for(let e=0,i=a.length;e<i;e+=8){const[i,n,s,o,c,l,h,u]=a.slice(e,e+8),d=Math.min(i,s,c,h),f=Math.max(i,s,c,h),g=Math.min(n,o,l,u),p=Math.max(n,o,l,u);if(null!==t&&(d<t[0]||f>t[2]||g<t[1]||p>t[3]))return null;r.set([d,p,f,p,d,g,f,g],e)}return r}function getTransformMatrix(e,t,a){const r=new Float32Array([1/0,1/0,-1/0,-1/0]);Util.axialAlignedBoundingBox(t,a,r);const[i,n,s,o]=r;if(i===s||n===o)return[1,0,0,1,e[0],e[1]];const c=(e[2\
+]-e[0])/(s-i),l=(e[3]-e[1])/(o-n);return[c,0,0,l,e[0]-i*c,e[1]-n*l]}class Annotation{constructor(e){const{dict:t,xref:a,annotationGlobals:r,ref:i,orphanFields:n}=e,s=n?.get(i);s&&t.set("Parent",s);this.setTitle(t.get("T"));this.setContents(t.get("Contents"));this.setModificationDate(t.get("M"));this.setFlags(t.get("F"));this.setRectangle(t.getArray("Rect"));this.setColor(t.getArray("C"));this.setBorderStyle(t);this.setAppearance(t);this.setOptionalContent(t);const o=t.get("MK");this.setBorderAnd\
+BackgroundColors(o);this.setRotation(o,t);this.ref=e.ref instanceof Ref?e.ref:null;this._streams=[];this.appearance&&this._streams.push(this.appearance);const c=!!(this.flags&ee),l=!!(this.flags&te);this.data={annotationFlags:this.flags,borderStyle:this.borderStyle,color:this.color,backgroundColor:this.backgroundColor,borderColor:this.borderColor,rotation:this.rotation,contentsObj:this._contents,hasAppearance:!!this.appearance,id:e.id,modificationDate:this.modificationDate,rect:this.rectangle,su\
+btype:e.subtype,hasOwnCanvas:!1,noRotate:!!(this.flags&Z),noHTML:c&&l,isEditable:!1,structParent:-1};if(r.structTreeRoot){let a=t.get("StructParent");this.data.structParent=a=Number.isInteger(a)&&a>=0?a:-1;r.structTreeRoot.addAnnotationIdToPage(e.pageRef,a)}if(e.collectFields){const r=t.get("Kids");if(Array.isArray(r)){const e=[];for(const t of r)t instanceof Ref&&e.push(t.toString());0!==e.length&&(this.data.kidIds=e)}this.data.actions=collectActions(a,t,ye);this.data.fieldName=this._constructF\
+ieldName(t);this.data.pageIndex=e.pageIndex}const h=t.get("IT");h instanceof Name&&(this.data.it=h.name);this._isOffscreenCanvasSupported=e.evaluatorOptions.isOffscreenCanvasSupported;this._fallbackFontDict=null;this._needAppearances=!1}_hasFlag(e,t){return!!(e&t)}_buildFlags(e,t){let{flags:a}=this;if(void 0===e){if(void 0===t)return;return t?a&~Y:a&~J|Y}if(e){a|=Y;return t?a&~Q|J:a&~J|Q}a&=~(J|Q);return t?a&~Y:a|Y}_isViewable(e){return!this._hasFlag(e,K)&&!this._hasFlag(e,Q)}_isPrintable(e){ret\
+urn this._hasFlag(e,Y)&&!this._hasFlag(e,J)&&!this._hasFlag(e,K)}mustBeViewed(e,t){const a=e?.get(this.data.id)?.noView;return void 0!==a?!a:this.viewable&&!this._hasFlag(this.flags,J)}mustBePrinted(e){const t=e?.get(this.data.id)?.noPrint;return void 0!==t?!t:this.printable}mustBeViewedWhenEditing(e,t=null){return e?!this.data.isEditable:!t?.has(this.data.id)}get viewable(){return null!==this.data.quadPoints&&(0===this.flags||this._isViewable(this.flags))}get printable(){return null!==this.data\
+.quadPoints&&(0!==this.flags&&this._isPrintable(this.flags))}_parseStringHelper(e){const t="string"==typeof e?stringToPDFString(e):"";return{str:t,dir:t&&"rtl"===bidi(t).dir?"rtl":"ltr"}}setDefaultAppearance(e){const{dict:t,annotationGlobals:a}=e,r=getInheritableProperty({dict:t,key:"DA"})||a.acroForm.get("DA");this._defaultAppearance="string"==typeof r?r:"";this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance)}setTitle(e){this._title=this._parseStringHelper(e)}setConte\
+nts(e){this._contents=this._parseStringHelper(e)}setModificationDate(e){this.modificationDate="string"==typeof e?e:null}setFlags(e){this.flags=Number.isInteger(e)&&e>0?e:0;this.flags&K&&"Annotation"!==this.constructor.name&&(this.flags^=K)}hasFlag(e){return this._hasFlag(this.flags,e)}setRectangle(e){this.rectangle=lookupNormalRect(e,[0,0,0,0])}setColor(e){this.color=getRgbColor(e)}setLineEndings(e){this.lineEndings=["None","None"];if(Array.isArray(e)&&2===e.length)for(let t=0;t<2;t++){const a=e\
+[t];if(a instanceof Name)switch(a.name){case"None":continue;case"Square":case"Circle":case"Diamond":case"OpenArrow":case"ClosedArrow":case"Butt":case"ROpenArrow":case"RClosedArrow":case"Slash":this.lineEndings[t]=a.name;continue}warn(`Ignoring invalid lineEnding: ${a}`)}}setRotation(e,t){this.rotation=0;let a=e instanceof Dict?e.get("R")||0:t.get("Rotate")||0;if(Number.isInteger(a)&&0!==a){a%=360;a<0&&(a+=360);a%90==0&&(this.rotation=a)}}setBorderAndBackgroundColors(e){if(e instanceof Dict){this\
+.borderColor=getRgbColor(e.getArray("BC"),null);this.backgroundColor=getRgbColor(e.getArray("BG"),null)}else this.borderColor=this.backgroundColor=null}setBorderStyle(e){this.borderStyle=new AnnotationBorderStyle;if(e instanceof Dict)if(e.has("BS")){const t=e.get("BS");if(t instanceof Dict){const e=t.get("Type");if(!e||isName(e,"Border")){this.borderStyle.setWidth(t.get("W"),this.rectangle);this.borderStyle.setStyle(t.get("S"));this.borderStyle.setDashArray(t.getArray("D"))}}}else if(e.has("Bord\
+er")){const t=e.getArray("Border");if(Array.isArray(t)&&t.length>=3){this.borderStyle.setHorizontalCornerRadius(t[0]);this.borderStyle.setVerticalCornerRadius(t[1]);this.borderStyle.setWidth(t[2],this.rectangle);4===t.length&&this.borderStyle.setDashArray(t[3],!0)}}else this.borderStyle.setWidth(0)}setAppearance(e){this.appearance=null;const t=e.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(a instanceof BaseStream){this.appearance=a;return}if(!(a instanceof Dict))return;const r=\
+e.get("AS");if(!(r instanceof Name&&a.has(r.name)))return;const i=a.get(r.name);i instanceof BaseStream&&(this.appearance=i)}setOptionalContent(e){this.oc=null;const t=e.get("OC");t instanceof Name?warn("setOptionalContent: Support for /Name-entry is not implemented."):t instanceof Dict&&(this.oc=t)}async loadResources(e,t){const a=await t.dict.getAsync("Resources");a&&await ObjectLoader.load(a,e,a.xref);return a}async getOperatorList(e,t,a,r){const{hasOwnCanvas:i,id:n,rect:o}=this.data;let c=th\
+is.appearance;const l=!!(i&&a&s);if(l&&(0===this.width||0===this.height)){this.data.hasOwnCanvas=!1;return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}if(!c){if(!l)return{opList:new OperatorList,separateForm:!1,separateCanvas:!1};c=new StringStream("");c.dict=new Dict}const h=c.dict,u=await this.loadResources(Ia,c),d=lookupRect(h.getArray("BBox"),[0,0,1,1]),f=lookupMatrix(h.getArray("Matrix"),Fa),g=getTransformMatrix(o,d,f),p=new OperatorList;let m;this.oc&&(m=await e.parseMarkedC\
+ontentProps(this.oc,null));void 0!==m&&p.addOp(jt,["OC",m]);p.addOp($t,[n,o,g,f,l]);await e.getOperatorList({stream:c,task:t,resources:u,operatorList:p,fallbackFontDict:this._fallbackFontDict});p.addOp(Gt,[]);void 0!==m&&p.addOp(_t,[]);this.reset();return{opList:p,separateForm:!1,separateCanvas:l}}async save(e,t,a,r){return null}get overlaysTextContent(){return!1}get hasTextContent(){return!1}async extractTextContent(e,t,a){if(!this.appearance)return;const r=await this.loadResources(Ta,this.appe\
+arance),i=[],n=[];let s=null;const o={desiredSize:Math.Infinity,ready:!0,enqueue(e,t){for(const t of e.items)if(void 0!==t.str){s||=t.transform.slice(-2);n.push(t.str);if(t.hasEOL){i.push(n.join("").trimEnd());n.length=0}}}};await e.getTextContent({stream:this.appearance,task:t,resources:r,includeMarkedContent:!0,keepWhiteSpace:!0,sink:o,viewBox:a});this.reset();n.length&&i.push(n.join("").trimEnd());if(i.length>1||i[0]){const e=this.appearance.dict,t=lookupRect(e.getArray("BBox"),null),a=lookup\
+Matrix(e.getArray("Matrix"),null);this.data.textPosition=this._transformPoint(s,t,a);this.data.textContent=i}}_transformPoint(e,t,a){const{rect:r}=this.data;t||=[0,0,1,1];a||=[1,0,0,1,0,0];const i=getTransformMatrix(r,t,a);i[4]-=r[0];i[5]-=r[1];const n=e.slice();Util.applyTransform(n,i);Util.applyTransform(n,a);return n}getFieldObject(){return this.data.kidIds?{id:this.data.id,actions:this.data.actions,name:this.data.fieldName,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor\
+,type:"",kidIds:this.data.kidIds,page:this.data.pageIndex,rotation:this.rotation}:null}reset(){for(const e of this._streams)e.reset()}_constructFieldName(e){if(!e.has("T")&&!e.has("Parent")){warn("Unknown field name, falling back to empty field name.");return""}if(!e.has("Parent"))return stringToPDFString(e.get("T"));const t=[];e.has("T")&&t.unshift(stringToPDFString(e.get("T")));let a=e;const r=new RefSet;e.objId&&r.put(e.objId);for(;a.has("Parent");){a=a.get("Parent");if(!(a instanceof Dict)||\
+a.objId&&r.has(a.objId))break;a.objId&&r.put(a.objId);a.has("T")&&t.unshift(stringToPDFString(a.get("T")))}return t.join(".")}get width(){return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class AnnotationBorderStyle{constructor(){this.width=1;this.rawWidth=1;this.style=fe;this.dashArray=[3];this.horizontalCornerRadius=0;this.verticalCornerRadius=0}setWidth(e,t=[0,0,0,0]){if(e instanceof Name)this.width=0;else if("number"==typeof e){if(e>0){this.r\
+awWidth=e;const a=(t[2]-t[0])/2,r=(t[3]-t[1])/2;if(a>0&&r>0&&(e>a||e>r)){warn(`AnnotationBorderStyle.setWidth - ignoring width: ${e}`);e=1}}this.width=e}}setStyle(e){if(e instanceof Name)switch(e.name){case"S":this.style=fe;break;case"D":this.style=ge;break;case"B":this.style=pe;break;case"I":this.style=me;break;case"U":this.style=be}}setDashArray(e,t=!1){if(Array.isArray(e)){let a=!0,r=!0;for(const t of e){if(!(+t>=0)){a=!1;break}t>0&&(r=!1)}if(0===e.length||a&&!r){this.dashArray=e;t&&this.setS\
+tyle(Name.get("D"))}else this.width=0}else e&&(this.width=0)}setHorizontalCornerRadius(e){Number.isInteger(e)&&(this.horizontalCornerRadius=e)}setVerticalCornerRadius(e){Number.isInteger(e)&&(this.verticalCornerRadius=e)}}class MarkupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;if(t.has("IRT")){const e=t.getRaw("IRT");this.data.inReplyTo=e instanceof Ref?e.toString():null;const a=t.get("RT");this.data.replyType=a instanceof Name?a.name:V}let a=null;if(this.data.replyType\
+===G){const e=t.get("IRT");this.setTitle(e.get("T"));this.data.titleObj=this._title;this.setContents(e.get("Contents"));this.data.contentsObj=this._contents;if(e.has("CreationDate")){this.setCreationDate(e.get("CreationDate"));this.data.creationDate=this.creationDate}else this.data.creationDate=null;if(e.has("M")){this.setModificationDate(e.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;a=e.getRaw("Popup");if(e.has("C")){this.setColor(e.getArray("\
+C"));this.data.color=this.color}else this.data.color=null}else{this.data.titleObj=this._title;this.setCreationDate(t.get("CreationDate"));this.data.creationDate=this.creationDate;a=t.getRaw("Popup");t.has("C")||(this.data.color=null)}this.data.popupRef=a instanceof Ref?a.toString():null;t.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(t.get("RC")))}setCreationDate(e){this.creationDate="string"==typeof e?e:null}_setDefaultAppearance({xref:e,extra:t,strokeColor:a,fillColor:r,blendMode\
+:i,strokeAlpha:n,fillAlpha:s,pointsCallback:o}){const c=this.data.rect=[1/0,1/0,-1/0,-1/0],l=["q"];t&&l.push(t);a&&l.push(`${a[0]} ${a[1]} ${a[2]} RG`);r&&l.push(`${r[0]} ${r[1]} ${r[2]} rg`);const h=this.data.quadPoints||Float32Array.from([this.rectangle[0],this.rectangle[3],this.rectangle[2],this.rectangle[3],this.rectangle[0],this.rectangle[1],this.rectangle[2],this.rectangle[1]]);for(let e=0,t=h.length;e<t;e+=8){const t=o(l,h.subarray(e,e+8));Util.rectBoundingBox(...t,c)}l.push("Q");const u=\
+new Dict(e),d=new Dict(e);d.setIfName("Subtype","Form");const f=new StringStream(l.join(" "));f.dict=d;u.set("Fm0",f);const g=new Dict(e);i&&g.setIfName("BM",i);g.setIfNumber("CA",n);g.setIfNumber("ca",s);const p=new Dict(e);p.set("GS0",g);const m=new Dict(e);m.set("ExtGState",p);m.set("XObject",u);const b=new Dict(e);b.set("Resources",m);b.set("BBox",c);this.appearance=new StringStream("/GS0 gs /Fm0 Do");this.appearance.dict=b;this._streams.push(this.appearance,f)}static async createNewAnnotati\
+on(e,t,a,r){const i=t.ref||=e.getNewTemporaryRef(),n=await this.createNewAppearanceStream(t,e,r);let s;if(n){const r=e.getNewTemporaryRef();s=this.createNewDict(t,e,{apRef:r});a.put(r,{data:n})}else s=this.createNewDict(t,e,{});Number.isInteger(t.parentTreeId)&&s.set("StructParent",t.parentTreeId);a.put(i,{data:s});const o={ref:i};if(t.popup){const r=t.popup;if(r.deleted){s.delete("Popup");s.delete("Contents");s.delete("RC");return o}const n=r.ref||=e.getNewTemporaryRef();r.parent=i;const c=Popu\
+pAnnotation.createNewDict(r,e);a.put(n,{data:c});s.setIfDefined("Contents",stringToAsciiOrUTF16BE(r.contents));s.set("Popup",n);return[o,{ref:n}]}return o}static async createNewPrintAnnotation(e,t,a,r){const i=await this.createNewAppearanceStream(a,t,r),n=this.createNewDict(a,t,i?{ap:i}:{}),s=new this.prototype.constructor({dict:n,xref:t,annotationGlobals:e,evaluatorOptions:r.evaluatorOptions});a.ref&&(s.ref=s.refToReplace=a.ref);return s}}class WidgetAnnotation extends Annotation{constructor(e)\
+{super(e);const{dict:t,xref:a,annotationGlobals:r}=e,i=this.data;this._needAppearances=e.needAppearances;i.annotationType=$;void 0===i.fieldName&&(i.fieldName=this._constructFieldName(t));void 0===i.actions&&(i.actions=collectActions(a,t,ye));let n=getInheritableProperty({dict:t,key:"V",getArray:!0});i.fieldValue=this._decodeFormValue(n);const s=getInheritableProperty({dict:t,key:"DV",getArray:!0});i.defaultFieldValue=this._decodeFormValue(s);if(void 0===n&&r.xfaDatasets){const e=this._title.str\
+;if(e){this._hasValueFromXFA=!0;i.fieldValue=n=r.xfaDatasets.getValue(e)}}void 0===n&&null!==i.defaultFieldValue&&(i.fieldValue=i.defaultFieldValue);i.alternativeText=stringToPDFString(t.get("TU")||"");this.setDefaultAppearance(e);i.hasAppearance||=this._needAppearances&&void 0!==i.fieldValue&&null!==i.fieldValue;const o=getInheritableProperty({dict:t,key:"FT"});i.fieldType=o instanceof Name?o.name:null;const c=getInheritableProperty({dict:t,key:"DR"}),l=r.acroForm.get("DR"),h=this.appearance?.d\
+ict.get("Resources");this._fieldResources={localResources:c,acroFormResources:l,appearanceResources:h,mergedResources:Dict.merge({xref:a,dictArray:[c,h,l],mergeSubDicts:!0})};i.fieldFlags=getInheritableProperty({dict:t,key:"Ff"});(!Number.isInteger(i.fieldFlags)||i.fieldFlags<0)&&(i.fieldFlags=0);i.password=this.hasFieldFlag(ne);i.readOnly=this.hasFieldFlag(ae);i.required=this.hasFieldFlag(re);i.hidden=this._hasFlag(i.annotationFlags,J)||this._hasFlag(i.annotationFlags,Q)}_decodeFormValue(e){ret\
+urn Array.isArray(e)?e.filter((e=>"string"==typeof e)).map((e=>stringToPDFString(e))):e instanceof Name?stringToPDFString(e.name):"string"==typeof e?stringToPDFString(e):null}hasFieldFlag(e){return!!(this.data.fieldFlags&e)}_isViewable(e){return!0}mustBeViewed(e,t){return t?this.viewable:super.mustBeViewed(e,t)&&!this._hasFlag(this.flags,Q)}getRotationMatrix(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);return 0===t?Fa:getRotationMatrix(t,this.width,this.height)}getBorder\
+AndBackgroundAppearances(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);if(!this.backgroundColor&&!this.borderColor)return"";const a=0===t||180===t?`0 0 ${this.width} ${this.height} re`:`0 0 ${this.height} ${this.width} re`;let r="";this.backgroundColor&&(r=`${getPdfColor(this.backgroundColor,!0)} ${a} f `);if(this.borderColor){r+=`${this.borderStyle.width||1} w ${getPdfColor(this.borderColor,!1)} ${a} S `}return r}async getOperatorList(e,t,a,r){if(a&l&&!(this instanceof S\
+ignatureWidgetAnnotation)&&!this.data.noHTML&&!this.data.hasOwnCanvas)return{opList:new OperatorList,separateForm:!0,separateCanvas:!1};if(!this._hasText)return super.getOperatorList(e,t,a,r);const i=await this._getAppearance(e,t,a,r);if(this.appearance&&null===i)return super.getOperatorList(e,t,a,r);const n=new OperatorList;if(!this._defaultAppearance||null===i)return{opList:n,separateForm:!1,separateCanvas:!1};const o=!!(this.data.hasOwnCanvas&&a&s),c=[0,0,this.width,this.height],h=getTransfor\
+mMatrix(this.data.rect,c,[1,0,0,1,0,0]);let u;this.oc&&(u=await e.parseMarkedContentProps(this.oc,null));void 0!==u&&n.addOp(jt,["OC",u]);n.addOp($t,[this.data.id,this.data.rect,h,this.getRotationMatrix(r),o]);const d=new StringStream(i);await e.getOperatorList({stream:d,task:t,resources:this._fieldResources.mergedResources,operatorList:n});n.addOp(Gt,[]);void 0!==u&&n.addOp(_t,[]);return{opList:n,separateForm:!1,separateCanvas:o}}_getMKDict(e){const t=new Dict(null);e&&t.set("R",e);t.setIfArray\
+("BC",getPdfColorArray(this.borderColor));t.setIfArray("BG",getPdfColorArray(this.backgroundColor));return t.size>0?t:null}amendSavedDict(e,t){}setValue(e,t,a,r){const{dict:i,ref:n}=function getParentToUpdate(e,t,a){const r=new RefSet,i=e,n={dict:null,ref:null};for(;e instanceof Dict&&!r.has(t);){r.put(t);if(e.has("T"))break;if(!((t=e.getRaw("Parent"))instanceof Ref))return n;e=a.fetch(t)}if(e instanceof Dict&&e!==i){n.dict=e;n.ref=t}return n}(e,this.ref,a);if(i){if(!r.has(n)){const e=i.clone();\
+e.set("V",t);r.put(n,{data:e});return e}}else e.set("V",t);return null}async save(e,t,a,r){const i=a?.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.value,o=i?.rotation;if(s===this.data.fieldValue||void 0===s){if(!this._hasValueFromXFA&&void 0===o&&void 0===n)return;s||=this.data.fieldValue}if(void 0===o&&!this._hasValueFromXFA&&Array.isArray(s)&&Array.isArray(this.data.fieldValue)&&isArrayEqual(s,this.data.fieldValue)&&void 0===n)return;void 0===o&&(o=this.rotation);let l=n\
+ull;if(!this._needAppearances){l=await this._getAppearance(e,t,c,a);if(null===l&&void 0===n)return}let h=!1;if(l?.needAppearances){h=!0;l=null}const{xref:u}=e,d=u.fetchIfRef(this.ref);if(!(d instanceof Dict))return;const f=new Dict(u);for(const e of d.getKeys())"AP"!==e&&f.set(e,d.getRaw(e));if(void 0!==n){f.set("F",n);if(null===l&&!h){const e=d.getRaw("AP");e&&f.set("AP",e)}}const g={path:this.data.fieldName,value:s},p=this.setValue(f,Array.isArray(s)?s.map(stringToAsciiOrUTF16BE):stringToAscii\
+OrUTF16BE(s),u,r);this.amendSavedDict(a,p||f);const m=this._getMKDict(o);m&&f.set("MK",m);r.put(this.ref,{data:f,xfa:g,needAppearances:h});if(null!==l){const e=u.getNewTemporaryRef(),t=new Dict(u);f.set("AP",t);t.set("N",e);const i=this._getSaveFieldResources(u),n=new StringStream(l),s=n.dict=new Dict(u);s.setIfName("Subtype","Form");s.set("Resources",i);const c=o%180==0?[0,0,this.width,this.height]:[0,0,this.height,this.width];s.set("BBox",c);const h=this.getRotationMatrix(a);h!==Fa&&s.set("Mat\
+rix",h);r.put(e,{data:n,xfa:null,needAppearances:!1})}f.set("M",`D:${getModificationDate()}`)}async _getAppearance(e,t,a,r){if(this.data.password)return null;const n=r?.get(this.data.id);let s,o;if(n){s=n.formattedValue||n.value;o=n.rotation}if(void 0===o&&void 0===s&&!this._needAppearances&&(!this._hasValueFromXFA||this.appearance))return null;const l=this.getBorderAndBackgroundAppearances(r);if(void 0===s){s=this.data.fieldValue;if(!s)return`/Tx BMC q ${l}Q EMC`}Array.isArray(s)&&1===s.length&\
+&(s=s[0]);assert("string"==typeof s,"Expected `value` to be a string.");s=s.trimEnd();if(this.data.combo){const e=this.data.options.find((({exportValue:e})=>s===e));s=e?.displayValue||s}if(""===s)return`/Tx BMC q ${l}Q EMC`;void 0===o&&(o=this.rotation);let h,u=-1;if(this.data.multiLine){h=s.split(/\\r\\n?|\\n/).map((e=>e.normalize("NFC")));u=h.length}else h=[s.replace(/\\r\\n?|\\n/,"").normalize("NFC")];let{width:d,height:f}=this;90!==o&&270!==o||([d,f]=[f,d]);this._defaultAppearance||(this.data.defa\
+ultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g"));let g,p,m,b=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,this._fieldResources.mergedResources);const y=[];let w=!1;for(const e of h){const t=b.encodeString(e);t.length>1&&(w=!0);y.push(t.join(""))}if(w&&a&c)return{needAppearances:!0};if(w&&this._isOffscreenCanvasSupported){const a=this.data.comb?"monospace":"sans-serif",r=new FakeUnicodeFont(e.xref,a),i=r.createFontResources(h.join\
+("")),n=i.getRaw("Font");if(this._fieldResources.mergedResources.has("Font")){const e=this._fieldResources.mergedResources.get("Font");for(const t of n.getKeys())e.set(t,n.getRaw(t))}else this._fieldResources.mergedResources.set("Font",n);const o=r.fontName.name;b=await WidgetAnnotation._getFontData(e,t,{fontName:o,fontSize:0},i);for(let e=0,t=y.length;e<t;e++)y[e]=stringToUTF16String(h[e]);const c=Object.assign(Object.create(null),this.data.defaultAppearanceData);this.data.defaultAppearanceData\
+.fontSize=0;this.data.defaultAppearanceData.fontName=o;[g,p,m]=this._computeFontSize(f-2,d-4,s,b,u);this.data.defaultAppearanceData=c}else{this._isOffscreenCanvasSupported||warn("_getAppearance: OffscreenCanvas is not supported, annotation may not render correctly.");[g,p,m]=this._computeFontSize(f-2,d-4,s,b,u)}let x=b.descent;x=isNaN(x)?i*m:Math.max(i*m,Math.abs(x)*p);const S=Math.min(Math.floor((f-p)/2),1),k=this.data.textAlignment;if(this.data.multiLine)return this._getMultilineAppearance(g,y\
+,b,p,d,f,k,2,S,x,m,r);if(this.data.comb)return this._getCombAppearance(g,b,y[0],p,d,f,2,S,x,m,r);const C=S+x;if(0===k||k>2)return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 ${numberToString(2)} ${numberToString(C)} Tm (${escapeString(y[0])}) Tj ET Q EMC`;return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 0 0 Tm ${this._renderText(y[0],b,p,d,k,{shift:0},2,C)} ET Q EMC`}static async _getFontData(e,t,a,r){const i=new OperatorList,n={font:null,clone(){return this}},{fontName:s,fontSize:o}=a;await e.handleSetFont(r,[s&&Name.\
+get(s),o],null,i,t,n,null);return n.font}_getTextWidth(e,t){return Math.sumPrecise(t.charsToGlyphs(e).map((e=>e.width)))/1e3}_computeFontSize(e,t,r,i,n){let{fontSize:s}=this.data.defaultAppearanceData,o=(s||12)*a,c=Math.round(e/o);if(!s){const roundWithTwoDigits=e=>Math.floor(100*e)/100;if(-1===n){const n=this._getTextWidth(r,i);s=roundWithTwoDigits(Math.min(e/a,t/n));c=1}else{const l=r.split(/\\r\\n?|\\n/),h=[];for(const e of l){const t=i.encodeString(e).join(""),a=i.charsToGlyphs(t),r=i.getCharPo\
+sitions(t);h.push({line:t,glyphs:a,positions:r})}const isTooBig=a=>{let r=0;for(const n of h){r+=this._splitLine(null,i,a,t,n).length*a;if(r>e)return!0}return!1};c=Math.max(c,n);for(;;){o=e/c;s=roundWithTwoDigits(o/a);if(!isTooBig(s))break;c++}}const{fontName:l,fontColor:h}=this.data.defaultAppearanceData;this._defaultAppearance=function createDefaultAppearance({fontSize:e,fontName:t,fontColor:a}){return`/${escapePDFName(t)} ${e} Tf ${getPdfColor(a,!0)}`}({fontSize:s,fontName:l,fontColor:h})}ret\
+urn[this._defaultAppearance,s,e/c]}_renderText(e,t,a,r,i,n,s,o){let c;if(1===i){c=(r-this._getTextWidth(e,t)*a)/2}else if(2===i){c=r-this._getTextWidth(e,t)*a-s}else c=s;const l=numberToString(c-n.shift);n.shift=c;return`${l} ${o=numberToString(o)} Td (${escapeString(e)}) Tj`}_getSaveFieldResources(e){const{localResources:t,appearanceResources:a,acroFormResources:r}=this._fieldResources,i=this.data.defaultAppearanceData?.fontName;if(!i)return t||Dict.empty;for(const e of[t,a])if(e instanceof Dic\
+t){const t=e.get("Font");if(t instanceof Dict&&t.has(i))return e}if(r instanceof Dict){const a=r.get("Font");if(a instanceof Dict&&a.has(i)){const r=new Dict(e);r.set(i,a.getRaw(i));const n=new Dict(e);n.set("Font",r);return Dict.merge({xref:e,dictArray:[n,t],mergeSubDicts:!0})}}return t||Dict.empty}getFieldObject(){return null}}class TextWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t}=e;if(t.has("PMD")){this.flags|=J;this.data.hidden=!0;warn("Barcodes are not sup\
+ported")}this.data.hasOwnCanvas=this.data.readOnly&&!this.data.noHTML;this._hasText=!0;"string"!=typeof this.data.fieldValue&&(this.data.fieldValue="");let a=getInheritableProperty({dict:t,key:"Q"});(!Number.isInteger(a)||a<0||a>2)&&(a=null);this.data.textAlignment=a;let r=getInheritableProperty({dict:t,key:"MaxLen"});(!Number.isInteger(r)||r<0)&&(r=0);this.data.maxLen=r;this.data.multiLine=this.hasFieldFlag(ie);this.data.comb=this.hasFieldFlag(de)&&!this.data.multiLine&&!this.data.password&&!th\
+is.hasFieldFlag(le)&&0!==this.data.maxLen;this.data.doNotScroll=this.hasFieldFlag(ue);const{data:{actions:i}}=this;if(!i)return;const n=/^AF(Date|Time)_(?:Keystroke|Format)(?:Ex)?\\([\'"]?([^\'"]+)[\'"]?\\);$/;let s=!1;(1===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Format[0])&&n.test(i.Keystroke[0])||0===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Keystroke[0])||0===i.Keystroke?.length&&1===i.Format?.length&&n.test(i.Format[0]))&&(s=!0);const o=[];i.Format&&o.push(...i.Format);i.Key\
+stroke&&o.push(...i.Keystroke);if(s){delete i.Keystroke;i.Format=o}for(const e of o){const t=e.match(n);if(!t)continue;const a="Date"===t[1];let r=t[2];const i=parseInt(r,10);isNaN(i)||Math.floor(Math.log10(i))+1!==t[2].length||(r=(a?Pn:Ln)[i]??r);this.data.datetimeFormat=r;if(!s)break;if(a){if(/HH|MM|ss|h/.test(r)){this.data.datetimeType="datetime-local";this.data.timeStep=/ss/.test(r)?1:60}else this.data.datetimeType="date";break}this.data.datetimeType="time";this.data.timeStep=/ss/.test(r)?1:\
+60;break}}get hasTextContent(){return!!this.appearance&&!this._needAppearances}_getCombAppearance(e,t,a,r,i,n,s,o,c,l,h){const u=i/this.data.maxLen,d=this.getBorderAndBackgroundAppearances(h),f=[],g=t.getCharPositions(a);for(const[e,t]of g)f.push(`(${escapeString(a.substring(e,t))}) Tj`);const p=f.join(` ${numberToString(u)} 0 Td `);return`/Tx BMC q ${d}BT `+e+` 1 0 0 1 ${numberToString(s)} ${numberToString(o+c)} Tm ${p} ET Q EMC`}_getMultilineAppearance(e,t,a,r,i,n,s,o,c,l,h,u){const d=[],f=i-2\
+*o,g={shift:0};for(let e=0,n=t.length;e<n;e++){const n=t[e],u=this._splitLine(n,a,r,f);for(let t=0,n=u.length;t<n;t++){const n=u[t],f=0===e&&0===t?-c-(h-l):-h;d.push(this._renderText(n,a,r,i,s,g,o,f))}}const p=this.getBorderAndBackgroundAppearances(u),m=d.join("\\n");return`/Tx BMC q ${p}BT `+e+` 1 0 0 1 0 ${numberToString(n)} Tm ${m} ET Q EMC`}_splitLine(e,t,a,r,i={}){e=i.line||e;const n=i.glyphs||t.charsToGlyphs(e);if(n.length<=1)return[e];const s=i.positions||t.getCharPositions(e),o=a/1e3,c=[]\
+;let l=-1,h=-1,u=-1,d=0,f=0;for(let t=0,a=n.length;t<a;t++){const[a,i]=s[t],g=n[t],p=g.width*o;if(" "===g.unicode)if(f+p>r){c.push(e.substring(d,a));d=a;f=p;l=-1;u=-1}else{f+=p;l=a;h=i;u=t}else if(f+p>r)if(-1!==l){c.push(e.substring(d,h));d=h;t=u+1;l=-1;f=0}else{c.push(e.substring(d,a));d=a;f=p}else f+=p}d<e.length&&c.push(e.substring(d,e.length));return c}async extractTextContent(e,t,a){await super.extractTextContent(e,t,a);const r=this.data.textContent;if(!r)return;const i=r.join("\\n");if(i===\
+this.data.fieldValue)return;const n=i.replaceAll(/([.*+?^${}()|[\\]\\\\])|(\\s+)/g,((e,t)=>t?`\\\\${t}`:"\\\\s+"));new RegExp(`^\\\\s*${n}\\\\s*$`).test(this.data.fieldValue)&&(this.data.textContent=this.data.fieldValue.split("\\n"))}getFieldObject(){return{id:this.data.id,value:this.data.fieldValue,defaultValue:this.data.defaultFieldValue||"",multiline:this.data.multiLine,password:this.data.password,charLimit:this.data.maxLen,comb:this.data.comb,editable:!this.data.readOnly,hidden:this.data.hidden,name:this\
+.data.fieldName,rect:this.data.rect,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,datetimeFormat:this.data.datetimeFormat,hasDatetimeHTML:!!this.data.datetimeType,type:"text"}}}class ButtonWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.checkedAppearance=null;this.uncheckedAppearance=null;const t=this.hasFieldFlag(se),a=this.hasFieldFlag(oe);this.data.checkBox=!t&&!a;this.data\
+.radioButton=t&&!a;this.data.pushButton=a;this.data.isTooltipOnly=!1;if(this.data.checkBox)this._processCheckBox(e);else if(this.data.radioButton)this._processRadioButton(e);else if(this.data.pushButton){this.data.hasOwnCanvas=!0;this.data.noHTML=!1;this._processPushButton(e)}else warn("Invalid field flags for button widget annotation")}async getOperatorList(e,t,a,r){if(this.data.pushButton)return super.getOperatorList(e,t,a,!1,r);let i=null,n=null;if(r){const e=r.get(this.data.id);i=e?e.value:n\
+ull;n=e?e.rotation:null}if(null===i&&this.appearance)return super.getOperatorList(e,t,a,r);null==i&&(i=this.data.checkBox?this.data.fieldValue===this.data.exportValue:this.data.fieldValue===this.data.buttonValue);const s=i?this.checkedAppearance:this.uncheckedAppearance;if(s){const i=this.appearance,o=lookupMatrix(s.dict.getArray("Matrix"),Fa);n&&s.dict.set("Matrix",this.getRotationMatrix(r));this.appearance=s;const c=super.getOperatorList(e,t,a,r);this.appearance=i;s.dict.set("Matrix",o);return\
+ c}return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}async save(e,t,a,r){this.data.checkBox?this._saveCheckbox(e,t,a,r):this.data.radioButton&&this._saveRadioButton(e,t,a,r)}async _saveCheckbox(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.exportValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))retur\
+n;c=c.clone();void 0===s&&(s=this.rotation);void 0===o&&(o=this.data.fieldValue===this.data.exportValue);const l={path:this.data.fieldName,value:o?this.data.exportValue:""},h=Name.get(o?this.data.exportValue:"Off");this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}async _saveRadioButton(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._bui\
+ldFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.buttonValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===o&&(o=this.data.fieldValue===this.data.buttonValue);void 0===s&&(s=this.rotation);const l={path:this.data.fieldName,value:o?this.data.buttonValue:""},h=Name.get(o?this.data.buttonValue:"Off");o&&this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`\
+D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}_getDefaultCheckedAppearance(e,t){const{width:a,height:r}=this,i=[0,0,a,r],n=.8*Math.min(a,r);let s,o;if("check"===t){s={width:.755*n,height:.705*n};o="3"}else if("disc"===t){s={width:.791*n,height:.705*n};o="l"}else unreachable(`_getDefaultCheckedAppearance - unsupported type: ${t}`);const c=`q BT /PdfJsZaDb ${n} Tf 0 g ${numberToString((a-s.width)/\
+2)} ${numberToString((r-s.height)/2)} Td (${o}) Tj ET Q`,l=new Dict(e.xref);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Matrix",[1,0,0,1,0,0]);l.set("Length",c.length);const h=new Dict(e.xref),u=new Dict(e.xref);u.set("PdfJsZaDb",this.fallbackFontDict);h.set("Font",u);l.set("Resources",h);this.checkedAppearance=new StringStream(c);this.checkedAppearance.dict=l;this._streams.push(this.checkedAppearance)}_processCheckBox(e){const t=e.dict.\
+get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(!(a instanceof Dict))return;const r=this._decodeFormValue(e.dict.get("AS"));"string"==typeof r&&(this.data.fieldValue=r);const i=null!==this.data.fieldValue&&"Off"!==this.data.fieldValue?this.data.fieldValue:"Yes",n=this._decodeFormValue(a.getKeys());if(0===n.length)n.push("Off",i);else if(1===n.length)"Off"===n[0]?n.push(i):n.unshift("Off");else if(n.includes(i)){n.length=0;n.push("Off",i)}else{const e=n.find((e=>"Off"!==e));n.lengt\
+h=0;n.push("Off",e)}n.includes(this.data.fieldValue)||(this.data.fieldValue="Off");this.data.exportValue=n[1];const s=a.get(this.data.exportValue);this.checkedAppearance=s instanceof BaseStream?s:null;const o=a.get("Off");this.uncheckedAppearance=o instanceof BaseStream?o:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"check");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFont\
+Dict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processRadioButton(e){this.data.buttonValue=null;const t=e.dict.get("Parent");if(t instanceof Dict){this.parent=e.dict.getRaw("Parent");const a=t.get("V");a instanceof Name&&(this.data.fieldValue=this._decodeFormValue(a))}const a=e.dict.get("AP");if(!(a instanceof Dict))return;const r=a.get("N");if(!(r instanceof Dict))return;for(const e of r.getKeys())if("Off"!==e){this.data.buttonValue=this._decodeFormValue(e);break}\
+const i=r.get(this.data.buttonValue);this.checkedAppearance=i instanceof BaseStream?i:null;const n=r.get("Off");this.uncheckedAppearance=n instanceof BaseStream?n:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"disc");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processPushButton(e){const{dict:t\
+,annotationGlobals:a}=e;if(t.has("A")||t.has("AA")||this.data.alternativeText){this.data.isTooltipOnly=!t.has("A")&&!t.has("AA");Catalog.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachments:a.attachments})}else warn("Push buttons without action dictionaries are not supported")}getFieldObject(){let e,t="button";if(this.data.checkBox){t="checkbox";e=this.data.exportValue}else if(this.data.radioButton){t="radiobutton";e=this.data.buttonValue}return{id:this.data.id\
+,value:this.data.fieldValue||"Off",defaultValue:this.data.defaultFieldValue,exportValues:e,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,hidden:this.data.hidden,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:t}}get fallbackFontDict(){const e=new Dict;e.setIfName("BaseFont","ZapfDingbats");e.setIfName("Type","FallbackType");e.setIfName("Subtype","FallbackType");e.setIf\
+Name("Encoding","ZapfDingbatsEncoding");return shadow(this,"fallbackFontDict",e)}}class ChoiceWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.indices=t.getArray("I");this.hasIndices=Array.isArray(this.indices)&&this.indices.length>0;this.data.options=[];const r=getInheritableProperty({dict:t,key:"Opt"});if(Array.isArray(r))for(let e=0,t=r.length;e<t;e++){const t=a.fetchIfRef(r[e]),i=Array.isArray(t);this.data.options[e]={exportValue:this._decodeFormV\
+alue(i?a.fetchIfRef(t[0]):t),displayValue:this._decodeFormValue(i?a.fetchIfRef(t[1]):t)}}if(this.hasIndices){this.data.fieldValue=[];const e=this.data.options.length;for(const t of this.indices)Number.isInteger(t)&&t>=0&&t<e&&this.data.fieldValue.push(this.data.options[t].exportValue)}else"string"==typeof this.data.fieldValue?this.data.fieldValue=[this.data.fieldValue]:this.data.fieldValue||=[];0===this.data.options.length&&this.data.fieldValue.length>0&&(this.data.options=this.data.fieldValue.m\
+ap((e=>({exportValue:e,displayValue:e}))));this.data.combo=this.hasFieldFlag(ce);this.data.multiSelect=this.hasFieldFlag(he);this._hasText=!0}getFieldObject(){const e=this.data.combo?"combobox":"listbox",t=this.data.fieldValue.length>0?this.data.fieldValue[0]:null;return{id:this.data.id,value:t,defaultValue:this.data.defaultFieldValue,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,numItems:this.data.fieldValue.length,multipleSelection:this.data.multiSelect,hidden:this.\
+data.hidden,actions:this.data.actions,items:this.data.options,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:e}}amendSavedDict(e,t){if(!this.hasIndices)return;let a=e?.get(this.data.id)?.value;Array.isArray(a)||(a=[a]);const r=[],{options:i}=this.data;for(let e=0,t=0,n=i.length;e<n;e++)if(i[e].exportValue===a[t]){r.push(e);t+=1}t.set("I",r)}async _getAppearance(e,t,r,i){if(this.data.combo)return super._getAppearance(e,t,\
+r,i);let n,s;const o=i?.get(this.data.id);if(o){s=o.rotation;n=o.value}if(void 0===s&&void 0===n&&!this._needAppearances)return null;void 0===n?n=this.data.fieldValue:Array.isArray(n)||(n=[n]);let{width:c,height:l}=this;90!==s&&270!==s||([c,l]=[l,c]);const h=this.data.options.length,u=[];for(let e=0;e<h;e++){const{exportValue:t}=this.data.options[e];n.includes(t)&&u.push(e)}this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0\
+ g"));const d=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,this._fieldResources.mergedResources);let f,{fontSize:g}=this.data.defaultAppearanceData;if(g)f=this._defaultAppearance;else{const e=(l-1)/h;let t,a=-1;for(const{displayValue:e}of this.data.options){const r=this._getTextWidth(e,d);if(r>a){a=r;t=e}}[f,g]=this._computeFontSize(e,c-4,t,d,-1)}const p=g*a,m=(p-g)/2,b=Math.floor(l/p);let y=0;if(u.length>0){const e=Math.min(...u),t=Math.max(...u);y=Math.max(0,t-b+1);y\
+>e&&(y=e)}const w=Math.min(y+b+1,h),x=["/Tx BMC q",`1 1 ${c} ${l} re W n`];if(u.length){x.push("0.600006 0.756866 0.854904 rg");for(const e of u)y<=e&&e<w&&x.push(`1 ${l-(e-y+1)*p} ${c} ${p} re f`)}x.push("BT",f,`1 0 0 1 0 ${l} Tm`);const S={shift:0};for(let e=y;e<w;e++){const{displayValue:t}=this.data.options[e],a=e===y?m:0;x.push(this._renderText(t,d,g,c,0,S,2,-p+a))}x.push("ET Q EMC");return x.join("\\n")}}class SignatureWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.da\
+ta.fieldValue=null;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!this.data.hasOwnCanvas}getFieldObject(){return{id:this.data.id,value:null,page:this.data.pageIndex,type:"signature"}}}class TextAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.noRotate=!0;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t}=e;this.data.annotationType=F;if(this.data.hasAppearance)this.data.name="NoIcon";else{this.data.rect[1]=this.data.rect[3]-22;this.data.r\
+ect[2]=this.data.rect[0]+22;this.data.name=t.has("Name")?t.get("Name").name:"Note"}if(t.has("State")){this.data.state=t.get("State")||null;this.data.stateModel=t.get("StateModel")||null}else{this.data.state=null;this.data.stateModel=null}}}class LinkAnnotation extends Annotation{constructor(e){super(e);const{dict:t,annotationGlobals:a}=e;this.data.annotationType=T;this.data.noHTML=!1;const r=getQuadPoints(t,this.rectangle);r&&(this.data.quadPoints=r);this.data.borderColor||=this.data.color;Catal\
+og.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachments:a.attachments})}get overlaysTextContent(){return!0}}class PopupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;this.data.annotationType=W;this.data.noHTML=!1;0!==this.width&&0!==this.height||(this.data.rect=null);let a=t.get("Parent");if(!a){warn("Popup annotation has a missing or invalid parent annotation.");return}this.data.parentRect=lookupNormalRect(a.getArray("Rect"),null);this.d\
+ata.creationDate=a.get("CreationDate")||"";isName(a.get("RT"),G)&&(a=a.get("IRT"));if(a.has("M")){this.setModificationDate(a.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;if(a.has("C")){this.setColor(a.getArray("C"));this.data.color=this.color}else this.data.color=null;if(!this.viewable){const e=a.get("F");this._isViewable(e)&&this.setFlags(e)}this.setTitle(a.get("T"));this.data.titleObj=this._title;this.setContents(a.get("Contents"));this.data.c\
+ontentsObj=this._contents;a.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(a.get("RC")));this.data.open=!!t.get("Open")}static createNewDict(e,t,a){const{oldAnnotation:r,rect:i,parent:n}=e,s=r||new Dict(t);s.setIfNotExists("Type",Name.get("Annot"));s.setIfNotExists("Subtype",Name.get("Popup"));s.setIfNotExists("Open",!1);s.setIfArray("Rect",i);s.set("Parent",n);return s}static async createNewAppearanceStream(e,t,a){return null}}class FreeTextAnnotation extends MarkupAnnotation{const\
+ructor(e){super(e);this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;const{annotationGlobals:t,evaluatorOptions:a,xref:r}=e;this.data.annotationType=O;this.setDefaultAppearance(e);this._hasAppearance=!!this.appearance;if(this._hasAppearance){const{fontColor:e,fontSize:i}=function parseAppearanceStream(e,t,a,r){return new AppearanceStreamEvaluator(e,t,a,r).parse()}(this.appearance,a,r,t.globalColorSpaceCache);this.data.defaultAppearanceData.fontC\
+olor=e;this.data.defaultAppearanceData.fontSize=i||10}else{this.data.defaultAppearanceData.fontSize||=10;const{fontColor:t,fontSize:a}=this.data.defaultAppearanceData;if(this._contents.str){this.data.textContent=this._contents.str.split(/\\r\\n?|\\n/).map((e=>e.trimEnd()));const{coords:e,bbox:t,matrix:r}=FakeUnicodeFont.getFirstPositionInfo(this.rectangle,this.rotation,a);this.data.textPosition=this._transformPoint(e,t,r)}if(this._isOffscreenCanvasSupported){const i=e.dict.get("CA"),n=new FakeUnico\
+deFont(r,"sans-serif");this.appearance=n.createAppearance(this._contents.str,this.rectangle,this.rotation,a,t,i);this._streams.push(this.appearance)}else warn("FreeTextAnnotation: OffscreenCanvas is not supported, annotation may not render correctly.")}}get hasTextContent(){return this._hasAppearance}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,fontSize:s,oldAnnotation:o,rect:c,rotation:l,user:h,value:u}=e,d=o||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExi\
+sts("Subtype",Name.get("FreeText"));d.set(o?"M":"CreationDate",`D:${getModificationDate(n)}`);o&&d.delete("RC");d.setIfArray("Rect",c);const f=`/Helv ${s} Tf ${getPdfColor(i,!0)}`;d.set("DA",f);d.setIfDefined("Contents",stringToAsciiOrUTF16BE(u));d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,r){const{ba\
+seFontRef:i,evaluator:n,task:s}=r,{color:o,fontSize:c,rect:l,rotation:h,value:u}=e;if(!o)return null;const d=new Dict(t),f=new Dict(t);if(i)f.set("Helv",i);else{const e=new Dict(t);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");f.set("Helv",e)}d.set("Font",f);const g=await WidgetAnnotation._getFontData(n,s,{fontName:"Helv",fontSize:c},d),[p,m,b,y]=l;let w=b-p,x=y-m;h%180!=0&&([w,x]=[x,w]);const S=u.split("\\n\
+"),k=c/1e3;let C=-1/0;const v=[];for(let e of S){const t=g.encodeString(e);if(t.length>1)return null;e=t.join("");v.push(e);let a=0;const r=g.charsToGlyphs(e);for(const e of r)a+=e.width*k;C=Math.max(C,a)}let F=1;C>w&&(F=w/C);let T=1;const O=a*c,M=1*c,D=O*S.length;D>x&&(T=x/D);const R=c*Math.min(F,T);let N,E,L;switch(h){case 0:L=[1,0,0,1];E=[l[0],l[1],w,x];N=[l[0],l[3]-M];break;case 90:L=[0,1,-1,0];E=[l[1],-l[2],w,x];N=[l[1],-l[0]-M];break;case 180:L=[-1,0,0,-1];E=[-l[2],-l[3],w,x];N=[-l[2],-l[1\
+]-M];break;case 270:L=[0,-1,1,0];E=[-l[3],l[0],w,x];N=[-l[3],l[2]-M]}const j=["q",`${L.join(" ")} 0 0 cm`,`${E.join(" ")} re W n`,"BT",`${getPdfColor(o,!0)}`,`0 Tc /Helv ${numberToString(R)} Tf`];j.push(`${N.join(" ")} Td (${escapeString(v[0])}) Tj`);const _=numberToString(O);for(let e=1,t=v.length;e<t;e++){const t=v[e];j.push(`0 -${_} Td (${escapeString(t)}) Tj`)}j.push("ET","Q");const U=j.join("\\n"),X=new Dict(t);X.set("FormType",1);X.setIfName("Subtype","Form");X.setIfName("Type","XObject");X\
+.set("BBox",l);X.set("Resources",d);X.set("Matrix",[1,0,0,1,-l[0],-l[1]]);const q=new StringStream(U);q.dict=X;return q}}class LineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=M;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const r=lookupRect(t.getArray("L"),[0,0,0,0]);this.data.lineCoordinates=Util.normalizeRect(r);this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings;if(!this.appearance){const\
+ e=getPdfColorArray(this.color,[0,0,0]),i=t.get("CA"),n=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),s=n?i:null,o=this.borderStyle.width||1,c=2*o,l=[this.data.lineCoordinates[0]-c,this.data.lineCoordinates[1]-c,this.data.lineCoordinates[2]+c,this.data.lineCoordinates[3]+c];Util.intersect(this.rectangle,l)||(this.rectangle=l);this._setDefaultAppearance({xref:a,extra:`${o} w`,strokeColor:e,fillColor:n,strokeAlpha:i,fillAlpha:s,pointsCallback:(e,t)=>{e.push(`${r[0]} ${r[1]} m`,`${r[2]} ${r[\
+3]} l`,"S");return[t[0]-o,t[7]-o,t[2]+o,t[3]+o]}})}}}class SquareAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=D;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strok\
+eColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[4]+this.borderStyle.width/2,r=t[5]+this.borderStyle.width/2,n=t[6]-t[4]-this.borderStyle.width,s=t[3]-t[7]-this.borderStyle.width;e.push(`${a} ${r} ${n} ${s} re`);i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class CircleAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=R;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("C\
+A"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;const s=4/3*Math.tan(Math.PI/8);this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[0]+this.borderStyle.width/2,r=t[1]-this.borderStyle.width/2,n=t[6]-this.borderStyle.width/2,o=t[7]+this.borderStyle.width/2,c=a+(n-a)/2,l=r+(o-r)/2,h=(n-a)/2*s,u=(o-r)/2*s;e.push(`${c} ${o} m`,`${c+h} \
+${o} ${n} ${l+u} ${n} ${l} c`,`${n} ${l-u} ${c+h} ${r} ${c} ${r} c`,`${c-h} ${r} ${a} ${l-u} ${a} ${l} c`,`${a} ${l+u} ${c-h} ${o} ${c} ${o} c`,"h");i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class PolylineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=E;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.vertices=null;if(!(this instanceof PolygonAnnotation)){this.setLineEndings(t.getArray("LE"));thi\
+s.data.lineEndings=this.lineEndings}const r=t.getArray("Vertices");if(!isNumberArray(r,null))return;const i=this.data.vertices=Float32Array.from(r);if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");let n,s=getRgbColor(t.getArray("IC"),null);s&&(s=getPdfColorArray(s));n=s?this.color?s.every(((t,a)=>t===e[a]))?"f":"B":"f":"S";const o=this.borderStyle.width||1,c=2*o,l=[1/0,1/0,-1/0,-1/0];for(let e=0,t=i.length;e<t;e+=2)Util.rectBoundingBox(i[e]-c,i[e+1]-c,i[e]+c,i[e+1]\
++c,l);Util.intersect(this.rectangle,l)||(this.rectangle=l);this._setDefaultAppearance({xref:a,extra:`${o} w`,strokeColor:e,strokeAlpha:r,fillColor:s,fillAlpha:s?r:null,pointsCallback:(e,t)=>{for(let t=0,a=i.length;t<a;t+=2)e.push(`${i[t]} ${i[t+1]} ${0===t?"m":"l"}`);e.push(n);return[t[0],t[7],t[2],t[3]]}})}}}class PolygonAnnotation extends PolylineAnnotation{constructor(e){super(e);this.data.annotationType=N}}class CaretAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.annot\
+ationType=q}}class InkAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t,xref:a}=e;this.data.annotationType=H;this.data.inkLists=[];this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;const r=t.getArray("InkList");if(Array.isArray(r)){for(let e=0,t=r.length;e<t;++e){if(!Array.isArray(r[e]))continue;const t=new Float32Array(r[e].length);this.data.inkLists.push(t);for(let i=0\
+,n=r[e].length;i<n;i+=2){const n=a.fetchIfRef(r[e][i]),s=a.fetchIfRef(r[e][i+1]);if("number"==typeof n&&"number"==typeof s){t[i]=n;t[i+1]=s}}}if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=this.borderStyle.width||1,n=2*i,s=[1/0,1/0,-1/0,-1/0];for(const e of this.data.inkLists)for(let t=0,a=e.length;t<a;t+=2)Util.rectBoundingBox(e[t]-n,e[t+1]-n,e[t]+n,e[t+1]+n,s);Util.intersect(this.rectangle,s)||(this.rectangle=s);this._setDefaultAppearance({xref:a,extra:`${i} \
+w`,strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{for(const t of this.data.inkLists){for(let a=0,r=t.length;a<r;a+=2)e.push(`${t[a]} ${t[a+1]} ${0===a?"m":"l"}`);e.push("S")}return[t[0],t[7],t[2],t[3]]}})}}}static createNewDict(e,t,{apRef:a,ap:r}){const{oldAnnotation:i,color:n,date:s,opacity:o,paths:c,outlines:l,rect:h,rotation:u,thickness:d,user:f}=e,g=i||new Dict(t);g.setIfNotExists("Type",Name.get("Annot"));g.setIfNotExists("Subtype",Name.get("Ink"));g.set(i?"M":"CreationDate",`D:${getMod\
+ificationDate(s)}`);g.setIfArray("Rect",h);g.setIfArray("InkList",l?.points||c?.points);g.setIfNotExists("F",4);g.setIfNumber("Rotate",u);g.setIfDefined("T",stringToAsciiOrUTF16BE(f));l&&g.setIfName("IT","InkHighlight");if(d>0){const e=new Dict(t);g.set("BS",e);e.set("W",d)}g.setIfArray("C",getPdfColorArray(n));g.setIfNumber("CA",o);if(r||a){const e=new Dict(t);g.set("AP",e);e.set("N",a||r)}return g}static async createNewAppearanceStream(e,t,a){if(e.outlines)return this.createNewAppearanceStream\
+ForHighlight(e,t,a);const{color:r,rect:i,paths:n,thickness:s,opacity:o}=e;if(!r)return null;const c=[`${s} w 1 J 1 j`,`${getPdfColor(r,!1)}`];1!==o&&c.push("/R0 gs");for(const e of n.lines){c.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t<a;t+=6)if(isNaN(e[t]))c.push(`${numberToString(e[t+4])} ${numberToString(e[t+5])} l`);else{const[a,r,i,n,s,o]=e.slice(t,t+6);c.push([a,r,i,n,s,o].map(numberToString).join(" ")+" c")}6===e.length&&c.push(`${numberToString(e[4]\
+)} ${numberToString(e[5])} l`)}c.push("S");const l=c.join("\\n"),h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",i);h.set("Length",l.length);if(1!==o){const e=new Dict(t),a=new Dict(t),r=new Dict(t);r.set("CA",o);r.setIfName("Type","ExtGState");a.set("R0",r);e.set("ExtGState",a);h.set("Resources",e)}const u=new StringStream(l);u.dict=h;return u}static async createNewAppearanceStreamForHighlight(e,t,a){const{color:r,rect:i,outlines:{outlin\
+e:n},opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"];o.push(`${numberToString(n[4])} ${numberToString(n[5])} m`);for(let e=6,t=n.length;e<t;e+=6)if(isNaN(n[e]))o.push(`${numberToString(n[e+4])} ${numberToString(n[e+5])} l`);else{const[t,a,r,i,s,c]=n.slice(e,e+6);o.push([t,a,r,i,s,c].map(numberToString).join(" ")+" c")}o.push("h f");const c=o.join("\\n"),l=new Dict(t);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Len\
+gth",c.length);const h=new Dict(t),u=new Dict(t);h.set("ExtGState",u);l.set("Resources",h);const d=new Dict(t);u.set("R0",d);d.setIfName("BM","Multiply");if(1!==s){d.set("ca",s);d.setIfName("Type","ExtGState")}const f=new StringStream(c);f.dict=l;return f}}class HighlightAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=L;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;if(this.data.quadPoints=ge\
+tQuadPoints(t,null)){const e=this.appearance?.dict.get("Resources");if(!this.appearance||!e?.has("ExtGState")){this.appearance&&warn("HighlightAnnotation - ignoring built-in appearance stream.");const e=getPdfColorArray(this.color,[1,1,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,fillColor:e,blendMode:"Multiply",fillAlpha:r,pointsCallback:(e,t)=>{e.push(`${t[0]} ${t[1]} m`,`${t[2]} ${t[3]} l`,`${t[6]} ${t[7]} l`,`${t[4]} ${t[5]} l`,"f");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popu\
+pRef=null}get overlaysTextContent(){return!0}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,oldAnnotation:s,opacity:o,rect:c,rotation:l,user:h,quadPoints:u}=e,d=s||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("Highlight"));d.set(s?"M":"CreationDate",`D:${getModificationDate(n)}`);d.setIfArray("Rect",c);d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfArray("QuadPoints",u);d.setIfArray("C",getP\
+dfColorArray(i));d.setIfNumber("CA",o);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,a){const{color:r,rect:i,outlines:n,opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"],c=[];for(const e of n){c.length=0;c.push(`${numberToString(e[0])} ${numberToString(e[1])} m`);for(let t=2,a=e.length;t<a;t+=2)c.push(`${numberToString(e[t])} ${numberToString(e[t+1])} l`);c.push("\
+h");o.push(c.join("\\n"))}o.push("f*");const l=o.join("\\n"),h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",i);h.set("Length",l.length);const u=new Dict(t),d=new Dict(t);u.set("ExtGState",d);h.set("Resources",u);const f=new Dict(t);d.set("R0",f);f.setIfName("BM","Multiply");if(1!==s){f.set("ca",s);f.setIfName("Type","ExtGState")}const g=new StringStream(l);g.dict=h;return g}}class UnderlineAnnotation extends MarkupAnnotation{constructor(e\
+){super(e);const{dict:t,xref:a}=e;this.data.annotationType=j;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 0.571 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{e.push(`${t[4]} ${t[5]+1.3} m`,`${t[6]} ${t[7]+1.3} l`,"S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class SquigglyAnnotation extends MarkupAnnotat\
+ion{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=_;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{const a=(t[1]-t[5])/6;let r=a,i=t[4];const n=t[5],s=t[6];e.push(`${i} ${n+r} m`);do{i+=2;r=0===r?a:0;e.push(`${i} ${n+r} l`)}while(i<s);e.push("S");return[t[4],n-2*a,s,n+2*a]}})}}else this.d\
+ata.popupRef=null}get overlaysTextContent(){return!0}}class StrikeOutAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=U;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{e.push((t[0]+t[4])/2+" "+(t[1]+t[5])/2+" m",(t[2]+t[6])/2+" "+(t[3]+t[7])/2+" l","S");ret\
+urn[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class StampAnnotation extends MarkupAnnotation{#pe=null;constructor(e){super(e);this.data.annotationType=X;this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1}mustBeViewedWhenEditing(e,t=null){if(e){if(!this.data.isEditable)return!0;this.#pe??=this.data.hasOwnCanvas;this.data.hasOwnCanvas=!0;return!0}if(null!==this.#pe){this.data.hasOwnCanvas=this.#pe;thi\
+s.#pe=null}return!t?.has(this.data.id)}static async createImage(e,t){const{width:a,height:r}=e,i=new OffscreenCanvas(a,r),n=i.getContext("2d",{alpha:!0});n.drawImage(e,0,0);const s=n.getImageData(0,0,a,r).data,o=new Uint32Array(s.buffer),c=o.some(FeatureTest.isLittleEndian?e=>e>>>24!=255:e=>!!(255&~e));if(c){n.fillStyle="white";n.fillRect(0,0,a,r);n.drawImage(e,0,0)}const l=i.convertToBlob({type:"image/jpeg",quality:1}).then((e=>e.arrayBuffer())),h=Name.get("XObject"),u=Name.get("Image"),d=new D\
+ict(t);d.set("Type",h);d.set("Subtype",u);d.set("BitsPerComponent",8);d.setIfName("ColorSpace","DeviceRGB");d.setIfName("Filter","DCTDecode");d.set("BBox",[0,0,a,r]);d.set("Width",a);d.set("Height",r);let f=null;if(c){const e=new Uint8Array(o.length);if(FeatureTest.isLittleEndian)for(let t=0,a=o.length;t<a;t++)e[t]=o[t]>>>24;else for(let t=0,a=o.length;t<a;t++)e[t]=255&o[t];const i=new Dict(t);i.set("Type",h);i.set("Subtype",u);i.set("BitsPerComponent",8);i.setIfName("ColorSpace","DeviceGray");i\
+.set("Width",a);i.set("Height",r);f=new Stream(e,0,0,i)}return{imageStream:new Stream(await l,0,0,d),smaskStream:f,width:a,height:r}}static createNewDict(e,t,{apRef:a,ap:r}){const{date:i,oldAnnotation:n,rect:s,rotation:o,user:c}=e,l=n||new Dict(t);l.setIfNotExists("Type",Name.get("Annot"));l.setIfNotExists("Subtype",Name.get("Stamp"));l.set(n?"M":"CreationDate",`D:${getModificationDate(i)}`);l.setIfArray("Rect",s);l.setIfNotExists("F",4);l.setIfNotExists("Border",[0,0,0]);l.setIfNumber("Rotate",\
+o);l.setIfDefined("T",stringToAsciiOrUTF16BE(c));if(a||r){const e=new Dict(t);l.set("AP",e);e.set("N",a||r)}return l}static async#me(e,t){const{areContours:a,color:r,rect:i,lines:n,thickness:s}=e;if(!r)return null;const o=[`${s} w 1 J 1 j`,`${getPdfColor(r,a)}`];for(const e of n){o.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t<a;t+=6)if(isNaN(e[t]))o.push(`${numberToString(e[t+4])} ${numberToString(e[t+5])} l`);else{const[a,r,i,n,s,c]=e.slice(t,t+6);o.push([a\
+,r,i,n,s,c].map(numberToString).join(" ")+" c")}6===e.length&&o.push(`${numberToString(e[4])} ${numberToString(e[5])} l`)}o.push(a?"F":"S");const c=o.join("\\n"),l=new Dict(t);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Length",c.length);const h=new StringStream(c);h.dict=l;return h}static async createNewAppearanceStream(e,t,a){if(e.oldAnnotation)return null;if(e.isSignature)return this.#me(e,t);const{rotation:r}=e,{imageRef:i,width:n,hei\
+ght:s}=a.image,o=new Dict(t),c=new Dict(t);o.set("XObject",c);c.set("Im0",i);const l=`q ${n} 0 0 ${s} 0 0 cm /Im0 Do Q`,h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",[0,0,n,s]);h.set("Resources",o);if(r){const e=getRotationMatrix(r,n,s);h.set("Matrix",e)}const u=new StringStream(l);u.dict=h;return u}}class FileAttachmentAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e,r=new FileSpec(t.get("FS"),a);this\
+.data.annotationType=z;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.file=r.serializable;const i=t.get("Name");this.data.name=i instanceof Name?stringToPDFString(i.name):"PushPin";const n=t.get("ca");this.data.fillAlpha="number"==typeof n&&n>=0&&n<=1?n:null}}const pc={get r(){return shadow(this,"r",new Uint8Array([7,12,17,22,7,12,17,22,7,12,17,22,7,12,17,22,5,9,14,20,5,9,14,20,5,9,14,20,5,9,14,20,4,11,16,23,4,11,16,23,4,11,16,23,4,11,16,23,6,10,15,21,6,10,15,21,6,10,15,\
+21,6,10,15,21]))},get k(){return shadow(this,"k",new Int32Array([-680876936,-389564586,606105819,-1044525330,-176418897,1200080426,-1473231341,-45705983,1770035416,-1958414417,-42063,-1990404162,1804603682,-40341101,-1502002290,1236535329,-165796510,-1069501632,643717713,-373897302,-701558691,38016083,-660478335,-405537848,568446438,-1019803690,-187363961,1163531501,-1444681467,-51403784,1735328473,-1926607734,-378558,-2022574463,1839030562,-35309556,-1530992060,1272893353,-155497632,-1094730640\
+,681279174,-358537222,-722521979,76029189,-640364487,-421815835,530742520,-995338651,-198630844,1126891415,-1416354905,-57434055,1700485571,-1894986606,-1051523,-2054922799,1873313359,-30611744,-1560198380,1309151649,-145523070,-1120210379,718787259,-343485551]))}};function calculateMD5(e,t,a){let r=1732584193,i=-271733879,n=-1732584194,s=271733878;const o=a+72&-64,c=new Uint8Array(o);let l,h;for(l=0;l<a;++l)c[l]=e[t++];c[l++]=128;const u=o-8;l<u&&(l=u);c[l++]=a<<3&255;c[l++]=a>>5&255;c[l++]=a>>\
+13&255;c[l++]=a>>21&255;c[l++]=a>>>29&255;l+=3;const d=new Int32Array(16),{k:f,r:g}=pc;for(l=0;l<o;){for(h=0;h<16;++h,l+=4)d[h]=c[l]|c[l+1]<<8|c[l+2]<<16|c[l+3]<<24;let e,t,a=r,o=i,u=n,p=s;for(h=0;h<64;++h){if(h<16){e=o&u|~o&p;t=h}else if(h<32){e=p&o|~p&u;t=5*h+1&15}else if(h<48){e=o^u^p;t=3*h+5&15}else{e=u^(o|~p);t=7*h&15}const r=p,i=a+e+f[h]+d[t]|0,n=g[h];p=u;u=o;o=o+(i<<n|i>>>32-n)|0;a=r}r=r+a|0;i=i+o|0;n=n+u|0;s=s+p|0}return new Uint8Array([255&r,r>>8&255,r>>16&255,r>>>24&255,255&i,i>>8&255,\
+i>>16&255,i>>>24&255,255&n,n>>8&255,n>>16&255,n>>>24&255,255&s,s>>8&255,s>>16&255,s>>>24&255])}function decodeString(e){try{return stringToUTF8String(e)}catch(t){warn(`UTF-8 decoding failed: "${t}".`);return e}}class DatasetXMLParser extends SimpleXMLParser{constructor(e){super(e);this.node=null}onEndElement(e){const t=super.onEndElement(e);if(t&&"xfa:datasets"===e){this.node=t;throw new Error("Aborting DatasetXMLParser.")}}}class DatasetReader{constructor(e){if(e.datasets)this.node=new SimpleXM\
+LParser({hasAttributes:!0}).parseFromString(e.datasets).documentElement;else{const t=new DatasetXMLParser({hasAttributes:!0});try{t.parseFromString(e["xdp:xdp"])}catch{}this.node=t.node}}getValue(e){if(!this.node||!e)return"";const t=this.node.searchNode(parseXFAPath(e),0);if(!t)return"";const a=t.firstChild;return"value"===a?.nodeName?t.children.map((e=>decodeString(e.textContent))):decodeString(t.textContent)}}class SingleIntersector{#be;#ye=1/0;#we=1/0;#xe=-1/0;#Se=-1/0;#Ae=null;#ke=[];#Ce=[]\
+;#ve=-1;#Fe=!1;constructor(e){this.#be=e;const t=e.data.quadPoints;if(t){for(let e=0,a=t.length;e<a;e+=8){this.#ye=Math.min(this.#ye,t[e]);this.#xe=Math.max(this.#xe,t[e+2]);this.#we=Math.min(this.#we,t[e+5]);this.#Se=Math.max(this.#Se,t[e+1])}t.length>8&&(this.#Ae=t)}else[this.#ye,this.#we,this.#xe,this.#Se]=e.data.rect}overlaps(e){return!(this.#ye>=e.#xe||this.#xe<=e.#ye||this.#we>=e.#Se||this.#Se<=e.#we)}#Ie(e,t){if(this.#ye>=e||this.#xe<=e||this.#we>=t||this.#Se<=t)return!1;const a=this.#Ae;\
+if(!a)return!0;if(this.#ve>=0){const r=this.#ve;if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t))return!0;this.#ve=-1}for(let r=0,i=a.length;r<i;r+=8)if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t)){this.#ve=r;return!0}return!1}addGlyph(e,t,a){if(!this.#Ie(e,t)){this.disableExtraChars();return!1}if(this.#Ce.length>0){this.#ke.push(this.#Ce.join(""));this.#Ce.length=0}this.#ke.push(a);this.#Fe=!0;return!0}addExtraChar(e){this.#Fe&&this.#Ce.push(e)}disableExtraChars(){if(this.#Fe){this.#Fe=!1;this.#C\
+e.length=0}}setText(){this.#be.data.overlaidText=this.#ke.join("")}}class Intersector{#Te=new Map;constructor(e){for(const t of e){if(!t.data.quadPoints&&!t.data.rect)continue;const e=new SingleIntersector(t);for(const[t,a]of this.#Te)t.overlaps(e)&&(a?a.add(e):this.#Te.set(t,new Set([e])));this.#Te.set(e,null)}}addGlyph(e,t,a,r){const i=e[4]+t/2,n=e[5]+a/2;let s;for(const[e,t]of this.#Te)s?s.has(e)?e.addGlyph(i,n,r):e.disableExtraChars():e.addGlyph(i,n,r)&&(s=t)}addExtraChar(e){for(const t of t\
+his.#Te.keys())t.addExtraChar(e)}setText(){for(const e of this.#Te.keys())e.setText()}}class Word64{constructor(e,t){this.high=0|e;this.low=0|t}and(e){this.high&=e.high;this.low&=e.low}xor(e){this.high^=e.high;this.low^=e.low}shiftRight(e){if(e>=32){this.low=this.high>>>e-32|0;this.high=0}else{this.low=this.low>>>e|this.high<<32-e;this.high=this.high>>>e|0}}rotateRight(e){let t,a;if(32&e){a=this.low;t=this.high}else{t=this.low;a=this.high}e&=31;this.low=t>>>e|a<<32-e;this.high=a>>>e|t<<32-e}not(\
+){this.high=~this.high;this.low=~this.low}add(e){const t=(this.low>>>0)+(e.low>>>0);let a=(this.high>>>0)+(e.high>>>0);t>4294967295&&(a+=1);this.low=0|t;this.high=0|a}copyTo(e,t){e[t]=this.high>>>24&255;e[t+1]=this.high>>16&255;e[t+2]=this.high>>8&255;e[t+3]=255&this.high;e[t+4]=this.low>>>24&255;e[t+5]=this.low>>16&255;e[t+6]=this.low>>8&255;e[t+7]=255&this.low}assign(e){this.high=e.high;this.low=e.low}}const mc={get k(){return shadow(this,"k",[new Word64(1116352408,3609767458),new Word64(18994\
+47441,602891725),new Word64(3049323471,3964484399),new Word64(3921009573,2173295548),new Word64(961987163,4081628472),new Word64(1508970993,3053834265),new Word64(2453635748,2937671579),new Word64(2870763221,3664609560),new Word64(3624381080,2734883394),new Word64(310598401,1164996542),new Word64(607225278,1323610764),new Word64(1426881987,3590304994),new Word64(1925078388,4068182383),new Word64(2162078206,991336113),new Word64(2614888103,633803317),new Word64(3248222580,3479774868),new Word64(3\
+835390401,2666613458),new Word64(4022224774,944711139),new Word64(264347078,2341262773),new Word64(604807628,2007800933),new Word64(770255983,1495990901),new Word64(1249150122,1856431235),new Word64(1555081692,3175218132),new Word64(1996064986,2198950837),new Word64(2554220882,3999719339),new Word64(2821834349,766784016),new Word64(2952996808,2566594879),new Word64(3210313671,3203337956),new Word64(3336571891,1034457026),new Word64(3584528711,2466948901),new Word64(113926993,3758326383),new Word\
+64(338241895,168717936),new Word64(666307205,1188179964),new Word64(773529912,1546045734),new Word64(1294757372,1522805485),new Word64(1396182291,2643833823),new Word64(1695183700,2343527390),new Word64(1986661051,1014477480),new Word64(2177026350,1206759142),new Word64(2456956037,344077627),new Word64(2730485921,1290863460),new Word64(2820302411,3158454273),new Word64(3259730800,3505952657),new Word64(3345764771,106217008),new Word64(3516065817,3606008344),new Word64(3600352804,1432725776),new \
+Word64(4094571909,1467031594),new Word64(275423344,851169720),new Word64(430227734,3100823752),new Word64(506948616,1363258195),new Word64(659060556,3750685593),new Word64(883997877,3785050280),new Word64(958139571,3318307427),new Word64(1322822218,3812723403),new Word64(1537002063,2003034995),new Word64(1747873779,3602036899),new Word64(1955562222,1575990012),new Word64(2024104815,1125592928),new Word64(2227730452,2716904306),new Word64(2361852424,442776044),new Word64(2428436474,593698344),new\
+ Word64(2756734187,3733110249),new Word64(3204031479,2999351573),new Word64(3329325298,3815920427),new Word64(3391569614,3928383900),new Word64(3515267271,566280711),new Word64(3940187606,3454069534),new Word64(4118630271,4000239992),new Word64(116418474,1914138554),new Word64(174292421,2731055270),new Word64(289380356,3203993006),new Word64(460393269,320620315),new Word64(685471733,587496836),new Word64(852142971,1086792851),new Word64(1017036298,365543100),new Word64(1126000580,2618297676),new\
+ Word64(1288033470,3409855158),new Word64(1501505948,4234509866),new Word64(1607167915,987167468),new Word64(1816402316,1246189591)])}};function ch(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.not();i.and(r);e.xor(i)}function maj(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.and(r);e.xor(i);i.assign(a);i.and(r);e.xor(i)}function sigma(e,t,a){e.assign(t);e.rotateRight(28);a.assign(t);a.rotateRight(34);e.xor(a);a.assign(t);a.rotateRight(39);e.xor(a)}function sigmaPrime(e,t,a){e.assign(t);e.rotate\
+Right(14);a.assign(t);a.rotateRight(18);e.xor(a);a.assign(t);a.rotateRight(41);e.xor(a)}function littleSigma(e,t,a){e.assign(t);e.rotateRight(1);a.assign(t);a.rotateRight(8);e.xor(a);a.assign(t);a.shiftRight(7);e.xor(a)}function littleSigmaPrime(e,t,a){e.assign(t);e.rotateRight(19);a.assign(t);a.rotateRight(61);e.xor(a);a.assign(t);a.shiftRight(6);e.xor(a)}function calculateSHA512(e,t,a,r=!1){let i,n,s,o,c,l,h,u;if(r){i=new Word64(3418070365,3238371032);n=new Word64(1654270250,914150663);s=new W\
+ord64(2438529370,812702999);o=new Word64(355462360,4144912697);c=new Word64(1731405415,4290775857);l=new Word64(2394180231,1750603025);h=new Word64(3675008525,1694076839);u=new Word64(1203062813,3204075428)}else{i=new Word64(1779033703,4089235720);n=new Word64(3144134277,2227873595);s=new Word64(1013904242,4271175723);o=new Word64(2773480762,1595750129);c=new Word64(1359893119,2917565137);l=new Word64(2600822924,725511199);h=new Word64(528734635,4215389547);u=new Word64(1541459225,327033209)}con\
+st d=128*Math.ceil((a+17)/128),f=new Uint8Array(d);let g,p;for(g=0;g<a;++g)f[g]=e[t++];f[g++]=128;const m=d-16;g<m&&(g=m);g+=11;f[g++]=a>>>29&255;f[g++]=a>>21&255;f[g++]=a>>13&255;f[g++]=a>>5&255;f[g++]=a<<3&255;const b=new Array(80);for(g=0;g<80;g++)b[g]=new Word64(0,0);const{k:y}=mc;let w=new Word64(0,0),x=new Word64(0,0),S=new Word64(0,0),k=new Word64(0,0),C=new Word64(0,0),v=new Word64(0,0),F=new Word64(0,0),T=new Word64(0,0);const O=new Word64(0,0),M=new Word64(0,0),D=new Word64(0,0),R=new \
+Word64(0,0);let N,E;for(g=0;g<d;){for(p=0;p<16;++p){b[p].high=f[g]<<24|f[g+1]<<16|f[g+2]<<8|f[g+3];b[p].low=f[g+4]<<24|f[g+5]<<16|f[g+6]<<8|f[g+7];g+=8}for(p=16;p<80;++p){N=b[p];littleSigmaPrime(N,b[p-2],R);N.add(b[p-7]);littleSigma(D,b[p-15],R);N.add(D);N.add(b[p-16])}w.assign(i);x.assign(n);S.assign(s);k.assign(o);C.assign(c);v.assign(l);F.assign(h);T.assign(u);for(p=0;p<80;++p){O.assign(T);sigmaPrime(D,C,R);O.add(D);ch(D,C,v,F,R);O.add(D);O.add(y[p]);O.add(b[p]);sigma(M,w,R);maj(D,w,x,S,R);M.\
+add(D);N=T;T=F;F=v;v=C;k.add(O);C=k;k=S;S=x;x=w;N.assign(O);N.add(M);w=N}i.add(w);n.add(x);s.add(S);o.add(k);c.add(C);l.add(v);h.add(F);u.add(T)}if(r){E=new Uint8Array(48);i.copyTo(E,0);n.copyTo(E,8);s.copyTo(E,16);o.copyTo(E,24);c.copyTo(E,32);l.copyTo(E,40)}else{E=new Uint8Array(64);i.copyTo(E,0);n.copyTo(E,8);s.copyTo(E,16);o.copyTo(E,24);c.copyTo(E,32);l.copyTo(E,40);h.copyTo(E,48);u.copyTo(E,56)}return E}const bc={get k(){return shadow(this,"k",[1116352408,1899447441,3049323471,3921009573,9\
+61987163,1508970993,2453635748,2870763221,3624381080,310598401,607225278,1426881987,1925078388,2162078206,2614888103,3248222580,3835390401,4022224774,264347078,604807628,770255983,1249150122,1555081692,1996064986,2554220882,2821834349,2952996808,3210313671,3336571891,3584528711,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,2177026350,2456956037,2730485921,2820302411,3259730800,3345764771,3516065817,3600352804,4094571909,275423344,430227734,506948616,65906055\
+6,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,2227730452,2361852424,2428436474,2756734187,3204031479,3329325298])}};function rotr(e,t){return e>>>t|e<<32-t}function calculate_sha256_ch(e,t,a){return e&t^~e&a}function calculate_sha256_maj(e,t,a){return e&t^e&a^t&a}function calculate_sha256_sigma(e){return rotr(e,2)^rotr(e,13)^rotr(e,22)}function calculate_sha256_sigmaPrime(e){return rotr(e,6)^rotr(e,11)^rotr(e,25)}function calculate_sha256_littleSigma(e){return rotr\
+(e,7)^rotr(e,18)^e>>>3}function calculateSHA256(e,t,a){let r=1779033703,i=3144134277,n=1013904242,s=2773480762,o=1359893119,c=2600822924,l=528734635,h=1541459225;const u=64*Math.ceil((a+9)/64),d=new Uint8Array(u);let f,g;for(f=0;f<a;++f)d[f]=e[t++];d[f++]=128;const p=u-8;f<p&&(f=p);f+=3;d[f++]=a>>>29&255;d[f++]=a>>21&255;d[f++]=a>>13&255;d[f++]=a>>5&255;d[f++]=a<<3&255;const m=new Uint32Array(64),{k:b}=bc;for(f=0;f<u;){for(g=0;g<16;++g){m[g]=d[f]<<24|d[f+1]<<16|d[f+2]<<8|d[f+3];f+=4}for(g=16;g<6\
+4;++g)m[g]=(rotr(y=m[g-2],17)^rotr(y,19)^y>>>10)+m[g-7]+calculate_sha256_littleSigma(m[g-15])+m[g-16]|0;let e,t,a=r,u=i,p=n,w=s,x=o,S=c,k=l,C=h;for(g=0;g<64;++g){e=C+calculate_sha256_sigmaPrime(x)+calculate_sha256_ch(x,S,k)+b[g]+m[g];t=calculate_sha256_sigma(a)+calculate_sha256_maj(a,u,p);C=k;k=S;S=x;x=w+e|0;w=p;p=u;u=a;a=e+t|0}r=r+a|0;i=i+u|0;n=n+p|0;s=s+w|0;o=o+x|0;c=c+S|0;l=l+k|0;h=h+C|0}var y;return new Uint8Array([r>>24&255,r>>16&255,r>>8&255,255&r,i>>24&255,i>>16&255,i>>8&255,255&i,n>>24&2\
+55,n>>16&255,n>>8&255,255&n,s>>24&255,s>>16&255,s>>8&255,255&s,o>>24&255,o>>16&255,o>>8&255,255&o,c>>24&255,c>>16&255,c>>8&255,255&c,l>>24&255,l>>16&255,l>>8&255,255&l,h>>24&255,h>>16&255,h>>8&255,255&h])}class DecryptStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.decrypt=a;this.nextChunk=null;this.initialized=!1}readBlock(){let e;if(this.initialized)e=this.nextChunk;else{e=this.str.getBytes(512);this.initialized=!0}if(!e?.length){this.eof=!0;return}this\
+.nextChunk=this.str.getBytes(512);const t=this.nextChunk?.length>0;e=(0,this.decrypt)(e,!t);const a=this.bufferLength,r=a+e.length;this.ensureBuffer(r).set(e,a);this.bufferLength=r}}class ARCFourCipher{constructor(e){this.a=0;this.b=0;const t=new Uint8Array(256),a=e.length;for(let e=0;e<256;++e)t[e]=e;for(let r=0,i=0;r<256;++r){const n=t[r];i=i+n+e[r%a]&255;t[r]=t[i];t[i]=n}this.s=t}encryptBlock(e){let t=this.a,a=this.b;const r=this.s,i=e.length,n=new Uint8Array(i);for(let s=0;s<i;++s){t=t+1&255\
+;const i=r[t];a=a+i&255;const o=r[a];r[t]=o;r[a]=i;n[s]=e[s]^r[i+o&255]}this.a=t;this.b=a;return n}decryptBlock(e){return this.encryptBlock(e)}encrypt(e){return this.encryptBlock(e)}}class NullCipher{decryptBlock(e){return e}encrypt(e){return e}}class AESBaseCipher{_s=new Uint8Array([99,124,119,123,242,107,111,197,48,1,103,43,254,215,171,118,202,130,201,125,250,89,71,240,173,212,162,175,156,164,114,192,183,253,147,38,54,63,247,204,52,165,229,241,113,216,49,21,4,199,35,195,24,150,5,154,7,18,128,2\
+26,235,39,178,117,9,131,44,26,27,110,90,160,82,59,214,179,41,227,47,132,83,209,0,237,32,252,177,91,106,203,190,57,74,76,88,207,208,239,170,251,67,77,51,133,69,249,2,127,80,60,159,168,81,163,64,143,146,157,56,245,188,182,218,33,16,255,243,210,205,12,19,236,95,151,68,23,196,167,126,61,100,93,25,115,96,129,79,220,34,42,144,136,70,238,184,20,222,94,11,219,224,50,58,10,73,6,36,92,194,211,172,98,145,149,228,121,231,200,55,109,141,213,78,169,108,86,244,234,101,122,174,8,186,120,37,46,28,166,180,198,232\
+,221,116,31,75,189,139,138,112,62,181,102,72,3,246,14,97,53,87,185,134,193,29,158,225,248,152,17,105,217,142,148,155,30,135,233,206,85,40,223,140,161,137,13,191,230,66,104,65,153,45,15,176,84,187,22]);_inv_s=new Uint8Array([82,9,106,213,48,54,165,56,191,64,163,158,129,243,215,251,124,227,57,130,155,47,255,135,52,142,67,68,196,222,233,203,84,123,148,50,166,194,35,61,238,76,149,11,66,250,195,78,8,46,161,102,40,217,36,178,118,91,162,73,109,139,209,37,114,248,246,100,134,104,152,22,212,164,92,204,93\
+,101,182,146,108,112,72,80,253,237,185,218,94,21,70,87,167,141,157,132,144,216,171,0,140,188,211,10,247,228,88,5,184,179,69,6,208,44,30,143,202,63,15,2,193,175,189,3,1,19,138,107,58,145,17,65,79,103,220,234,151,242,207,206,240,180,230,115,150,172,116,34,231,173,53,133,226,249,55,232,28,117,223,110,71,241,26,113,29,41,197,137,111,183,98,14,170,24,190,27,252,86,62,75,198,210,121,32,154,219,192,254,120,205,90,244,31,221,168,51,136,7,199,49,177,18,16,89,39,128,236,95,96,81,127,169,25,181,74,13,45,22\
+9,122,159,147,201,156,239,160,224,59,77,174,42,245,176,200,235,187,60,131,83,153,97,23,43,4,126,186,119,214,38,225,105,20,99,85,33,12,125]);_mix=new Uint32Array([0,235474187,470948374,303765277,941896748,908933415,607530554,708780849,1883793496,2118214995,1817866830,1649639237,1215061108,1181045119,1417561698,1517767529,3767586992,4003061179,4236429990,4069246893,3635733660,3602770327,3299278474,3400528769,2430122216,2664543715,2362090238,2193862645,2835123396,2801107407,3035535058,3135740889,36\
+78124923,3576870512,3341394285,3374361702,3810496343,3977675356,4279080257,4043610186,2876494627,2776292904,3076639029,3110650942,2472011535,2640243204,2403728665,2169303058,1001089995,899835584,666464733,699432150,59727847,226906860,530400753,294930682,1273168787,1172967064,1475418501,1509430414,1942435775,2110667444,1876241833,1641816226,2910219766,2743034109,2976151520,3211623147,2505202138,2606453969,2302690252,2269728455,3711829422,3543599269,3240894392,3475313331,3843699074,3943906441,4178\
+062228,4144047775,1306967366,1139781709,1374988112,1610459739,1975683434,2076935265,1775276924,1742315127,1034867998,866637845,566021896,800440835,92987698,193195065,429456164,395441711,1984812685,2017778566,1784663195,1683407248,1315562145,1080094634,1383856311,1551037884,101039829,135050206,437757123,337553864,1042385657,807962610,573804783,742039012,2531067453,2564033334,2328828971,2227573024,2935566865,2700099354,3001755655,3168937228,3868552805,3902563182,4203181171,4102977912,3736164937,35\
+01741890,3265478751,3433712980,1106041591,1340463100,1576976609,1408749034,2043211483,2009195472,1708848333,1809054150,832877231,1068351396,766945465,599762354,159417987,126454664,361929877,463180190,2709260871,2943682380,3178106961,3009879386,2572697195,2538681184,2236228733,2336434550,3509871135,3745345300,3441850377,3274667266,3910161971,3877198648,4110568485,4211818798,2597806476,2497604743,2261089178,2295101073,2733856160,2902087851,3202437046,2968011453,3936291284,3835036895,4136440770,416\
+9408201,3535486456,3702665459,3467192302,3231722213,2051518780,1951317047,1716890410,1750902305,1113818384,1282050075,1584504582,1350078989,168810852,67556463,371049330,404016761,841739592,1008918595,775550814,540080725,3969562369,3801332234,4035489047,4269907996,3569255213,3669462566,3366754619,3332740144,2631065433,2463879762,2160117071,2395588676,2767645557,2868897406,3102011747,3069049960,202008497,33778362,270040487,504459436,875451293,975658646,675039627,641025152,2084704233,1917518562,161\
+5861247,1851332852,1147550661,1248802510,1484005843,1451044056,933301370,967311729,733156972,632953703,260388950,25965917,328671808,496906059,1206477858,1239443753,1543208500,1441952575,2144161806,1908694277,1675577880,1842759443,3610369226,3644379585,3408119516,3307916247,4011190502,3776767469,4077384432,4245618683,2809771154,2842737049,3144396420,3043140495,2673705150,2438237621,2203032232,2370213795]);_mixCol=new Uint8Array(256).map(((e,t)=>t<128?t<<1:t<<1^27));constructor(){this.buffer=new U\
+int8Array(16);this.bufferPosition=0}_expandKey(e){unreachable("Cannot call `_expandKey` on the base class")}_decrypt(e,t){let a,r,i;const n=new Uint8Array(16);n.set(e);for(let e=0,a=this._keySize;e<16;++e,++a)n[e]^=t[a];for(let e=this._cyclesOfRepetition-1;e>=1;--e){a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e)n[e]=this._inv_s[n[e]];for(let a=0,r=16*e;a<16;++a,++r)n[a\
+]^=t[r];for(let e=0;e<16;e+=4){const t=this._mix[n[e]],r=this._mix[n[e+1]],i=this._mix[n[e+2]],s=this._mix[n[e+3]];a=t^r>>>8^r<<24^i>>>16^i<<16^s>>>24^s<<8;n[e]=a>>>24&255;n[e+1]=a>>16&255;n[e+2]=a>>8&255;n[e+3]=255&a}}a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e){n[e]=this._inv_s[n[e]];n[e]^=t[e]}return n}_encrypt(e,t){const a=this._s;let r,i,n;const s=new Uint8Array\
+(16);s.set(e);for(let e=0;e<16;++e)s[e]^=t[e];for(let e=1;e<this._cyclesOfRepetition;e++){for(let e=0;e<16;++e)s[e]=a[s[e]];n=s[1];s[1]=s[5];s[5]=s[9];s[9]=s[13];s[13]=n;n=s[2];i=s[6];s[2]=s[10];s[6]=s[14];s[10]=n;s[14]=i;n=s[3];i=s[7];r=s[11];s[3]=s[15];s[7]=n;s[11]=i;s[15]=r;for(let e=0;e<16;e+=4){const t=s[e],a=s[e+1],i=s[e+2],n=s[e+3];r=t^a^i^n;s[e]^=r^this._mixCol[t^a];s[e+1]^=r^this._mixCol[a^i];s[e+2]^=r^this._mixCol[i^n];s[e+3]^=r^this._mixCol[n^t]}for(let a=0,r=16*e;a<16;++a,++r)s[a]^=t\
+[r]}for(let e=0;e<16;++e)s[e]=a[s[e]];n=s[1];s[1]=s[5];s[5]=s[9];s[9]=s[13];s[13]=n;n=s[2];i=s[6];s[2]=s[10];s[6]=s[14];s[10]=n;s[14]=i;n=s[3];i=s[7];r=s[11];s[3]=s[15];s[7]=n;s[11]=i;s[15]=r;for(let e=0,a=this._keySize;e<16;++e,++a)s[e]^=t[a];return s}_decryptBlock2(e,t){const a=e.length;let r=this.buffer,i=this.bufferPosition;const n=[];let s=this.iv;for(let t=0;t<a;++t){r[i]=e[t];++i;if(i<16)continue;const a=this._decrypt(r,this._key);for(let e=0;e<16;++e)a[e]^=s[e];s=r;n.push(a);r=new Uint8A\
+rray(16);i=0}this.buffer=r;this.bufferLength=i;this.iv=s;if(0===n.length)return new Uint8Array(0);let o=16*n.length;if(t){const e=n.at(-1);let t=e[15];if(t<=16){for(let a=15,r=16-t;a>=r;--a)if(e[a]!==t){t=0;break}o-=t;n[n.length-1]=e.subarray(0,16-t)}}const c=new Uint8Array(o);for(let e=0,t=0,a=n.length;e<a;++e,t+=16)c.set(n[e],t);return c}decryptBlock(e,t,a=null){const r=e.length,i=this.buffer;let n=this.bufferPosition;if(a)this.iv=a;else{for(let t=0;n<16&&t<r;++t,++n)i[n]=e[t];if(n<16){this.bu\
+fferLength=n;return new Uint8Array(0)}this.iv=i;e=e.subarray(16)}this.buffer=new Uint8Array(16);this.bufferLength=0;this.decryptBlock=this._decryptBlock2;return this.decryptBlock(e,t)}encrypt(e,t){const a=e.length;let r=this.buffer,i=this.bufferPosition;const n=[];t||=new Uint8Array(16);for(let s=0;s<a;++s){r[i]=e[s];++i;if(i<16)continue;for(let e=0;e<16;++e)r[e]^=t[e];const a=this._encrypt(r,this._key);t=a;n.push(a);r=new Uint8Array(16);i=0}this.buffer=r;this.bufferLength=i;this.iv=t;if(0===n.l\
+ength)return new Uint8Array(0);const s=16*n.length,o=new Uint8Array(s);for(let e=0,t=0,a=n.length;e<a;++e,t+=16)o.set(n[e],t);return o}}class AES128Cipher extends AESBaseCipher{_rcon=new Uint8Array([141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,1\
+89,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179\
+,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141]);constructor(e){super();this._cyclesOfRepetition=10;this._keySize=160;this._key=this._expandKey(e)}_expandKey(e){const t=this._s,a=this._rcon,r=new Uint8Array(176);r.set(e);for(let e=16,i=1;e<176;++i){let n=r[e-3],s=r[e-2],o=r[e-1],c=r[e-4];n=t[n];s=t[s];o=t[o];c=t[c];n^=a[i];for(let t=0;t<4;++t){r[e]=n^=r[e-16];e++;r[e]=s^=r[e-16];e++;r[e]=o^=r[e-16];e++;r[e]=c^=r[e-16];e++}}return r}}class AES256\
+Cipher extends AESBaseCipher{constructor(e){super();this._cyclesOfRepetition=14;this._keySize=224;this._key=this._expandKey(e)}_expandKey(e){const t=this._s,a=new Uint8Array(240);a.set(e);let r,i,n,s,o=1;for(let e=32,c=1;e<240;++c){if(e%32==16){r=t[r];i=t[i];n=t[n];s=t[s]}else if(e%32==0){r=a[e-3];i=a[e-2];n=a[e-1];s=a[e-4];r=t[r];i=t[i];n=t[n];s=t[s];r^=o;(o<<=1)>=256&&(o=255&(27^o))}for(let t=0;t<4;++t){a[e]=r^=a[e-32];e++;a[e]=i^=a[e-32];e++;a[e]=n^=a[e-32];e++;a[e]=s^=a[e-32];e++}}return a}}\
+class PDFBase{_hash(e,t,a){unreachable("Abstract method `_hash` called")}checkOwnerPassword(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);return isArrayEqual(this._hash(e,i,a),r)}checkUserPassword(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);return isArrayEqual(this._hash(e,r,[]),a)}getOwnerKey(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);const n=this._hash(e,i\
+,a);return new AES256Cipher(n).decryptBlock(r,!1,new Uint8Array(16))}getUserKey(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);const i=this._hash(e,r,[]);return new AES256Cipher(i).decryptBlock(a,!1,new Uint8Array(16))}}class PDF17 extends PDFBase{_hash(e,t,a){return calculateSHA256(t,0,t.length)}}class PDF20 extends PDFBase{_hash(e,t,a){let r=calculateSHA256(t,0,t.length).subarray(0,32),i=[0],n=0;for(;n<64||i.at(-1)>n-32;){const t=e.length+r.length+a.length,l=new Uint8Ar\
+ray(t);let h=0;l.set(e,h);h+=e.length;l.set(r,h);h+=r.length;l.set(a,h);const u=new Uint8Array(64*t);for(let e=0,a=0;e<64;e++,a+=t)u.set(l,a);i=new AES128Cipher(r.subarray(0,16)).encrypt(u,r.subarray(16,32));const d=Math.sumPrecise(i.slice(0,16))%3;0===d?r=calculateSHA256(i,0,i.length):1===d?r=(s=i,o=0,c=i.length,calculateSHA512(s,o,c,!0)):2===d&&(r=calculateSHA512(i,0,i.length));n++}var s,o,c;return r.subarray(0,32)}}class CipherTransform{constructor(e,t){this.StringCipherConstructor=e;this.Str\
+eamCipherConstructor=t}createStream(e,t){const a=new this.StreamCipherConstructor;return new DecryptStream(e,t,(function cipherTransformDecryptStream(e,t){return a.decryptBlock(e,t)}))}decryptString(e){const t=new this.StringCipherConstructor;let a=stringToBytes(e);a=t.decryptBlock(a,!0);return bytesToString(a)}encryptString(e){const t=new this.StringCipherConstructor;if(t instanceof AESBaseCipher){const a=16-e.length%16;e+=String.fromCharCode(a).repeat(a);const r=new Uint8Array(16);crypto.getRa\
+ndomValues(r);let i=stringToBytes(e);i=t.encrypt(i,r);const n=new Uint8Array(16+i.length);n.set(r);n.set(i,16);return bytesToString(n)}let a=stringToBytes(e);a=t.encrypt(a);return bytesToString(a)}}class CipherTransformFactory{static get _defaultPasswordBytes(){return shadow(this,"_defaultPasswordBytes",new Uint8Array([40,191,78,94,78,117,138,65,100,0,78,86,255,250,1,8,46,46,0,182,208,104,62,128,47,12,169,254,100,83,105,122]))}#Oe(e,t,a,r,i,n,s,o,c,l,h,u){if(t){const e=Math.min(127,t.length);t=t\
+.subarray(0,e)}else t=[];const d=6===e?new PDF20:new PDF17;return d.checkUserPassword(t,o,s)?d.getUserKey(t,c,h):t.length&&d.checkOwnerPassword(t,r,n,a)?d.getOwnerKey(t,i,n,l):null}#Me(e,t,a,r,i,n,s,o){const c=40+a.length+e.length,l=new Uint8Array(c);let h,u,d=0;if(t){u=Math.min(32,t.length);for(;d<u;++d)l[d]=t[d]}h=0;for(;d<32;)l[d++]=CipherTransformFactory._defaultPasswordBytes[h++];l.set(a,d);d+=a.length;l[d++]=255&i;l[d++]=i>>8&255;l[d++]=i>>16&255;l[d++]=i>>>24&255;l.set(e,d);d+=e.length;if\
+(n>=4&&!o){l.fill(255,d,d+4);d+=4}let f=calculateMD5(l,0,d);const g=s>>3;if(n>=3)for(h=0;h<50;++h)f=calculateMD5(f,0,g);const p=f.subarray(0,g);let m,b;if(n>=3){d=0;l.set(CipherTransformFactory._defaultPasswordBytes,d);d+=32;l.set(e,d);d+=e.length;m=new ARCFourCipher(p);b=m.encryptBlock(calculateMD5(l,0,d));u=p.length;const t=new Uint8Array(u);for(h=1;h<=19;++h){for(let e=0;e<u;++e)t[e]=p[e]^h;m=new ARCFourCipher(t);b=m.encryptBlock(b)}}else{m=new ARCFourCipher(p);b=m.encryptBlock(CipherTransfor\
+mFactory._defaultPasswordBytes)}return b.every(((e,t)=>r[t]===e))?p:null}#De(e,t,a,r){const i=new Uint8Array(32);let n=0;const s=Math.min(32,e.length);for(;n<s;++n)i[n]=e[n];let o=0;for(;n<32;)i[n++]=CipherTransformFactory._defaultPasswordBytes[o++];let c=calculateMD5(i,0,n);const l=r>>3;if(a>=3)for(o=0;o<50;++o)c=calculateMD5(c,0,c.length);let h,u;if(a>=3){u=t;const e=new Uint8Array(l);for(o=19;o>=0;o--){for(let t=0;t<l;++t)e[t]=c[t]^o;h=new ARCFourCipher(e);u=h.encryptBlock(u)}}else{h=new ARCF\
+ourCipher(c.subarray(0,l));u=h.encryptBlock(t)}return u}#Be(e,t,a,r=!1){const i=a.length,n=new Uint8Array(i+9);n.set(a);let s=i;n[s++]=255&e;n[s++]=e>>8&255;n[s++]=e>>16&255;n[s++]=255&t;n[s++]=t>>8&255;if(r){n[s++]=115;n[s++]=65;n[s++]=108;n[s++]=84}return calculateMD5(n,0,s).subarray(0,Math.min(i+5,16))}#Re(e,t,a,r,i){if(!(t instanceof Name))throw new FormatError("Invalid crypt filter name.");const n=this,s=e.get(t.name),o=s?.get("CFM");if(!o||"None"===o.name)return function(){return new NullC\
+ipher};if("V2"===o.name)return function(){return new ARCFourCipher(n.#Be(a,r,i,!1))};if("AESV2"===o.name)return function(){return new AES128Cipher(n.#Be(a,r,i,!0))};if("AESV3"===o.name)return function(){return new AES256Cipher(i)};throw new FormatError("Unknown crypto method")}constructor(e,t,a){const r=e.get("Filter");if(!isName(r,"Standard"))throw new FormatError("unknown encryption method");this.filterName=r.name;this.dict=e;const i=e.get("V");if(!Number.isInteger(i)||1!==i&&2!==i&&4!==i&&5!=\
+=i)throw new FormatError("unsupported encryption algorithm");this.algorithm=i;let n=e.get("Length");if(!n)if(i<=3)n=40;else{const t=e.get("CF"),a=e.get("StmF");if(t instanceof Dict&&a instanceof Name){t.suppressEncryption=!0;const e=t.get(a.name);n=e?.get("Length")||128;n<40&&(n<<=3)}}if(!Number.isInteger(n)||n<40||n%8!=0)throw new FormatError("invalid key length");const s=stringToBytes(e.get("O")),o=stringToBytes(e.get("U")),c=s.subarray(0,32),l=o.subarray(0,32),h=e.get("P"),u=e.get("R"),d=(4==\
+=i||5===i)&&!1!==e.get("EncryptMetadata");this.encryptMetadata=d;const f=stringToBytes(t);let g,p;if(a){if(6===u)try{a=utf8StringToString(a)}catch{warn("CipherTransformFactory: Unable to convert UTF8 encoded password.")}g=stringToBytes(a)}if(5!==i)p=this.#Me(f,g,c,l,h,u,n,d);else{const t=s.subarray(32,40),a=s.subarray(40,48),r=o.subarray(0,48),i=o.subarray(32,40),n=o.subarray(40,48),h=stringToBytes(e.get("OE")),d=stringToBytes(e.get("UE")),f=stringToBytes(e.get("Perms"));p=this.#Oe(u,g,c,t,a,r,l\
+,i,n,h,d,f)}if(!p){if(!a)throw new PasswordException("No password given",ha);const e=this.#De(g,c,u,n);p=this.#Me(f,e,c,l,h,u,n,d)}if(!p)throw new PasswordException("Incorrect Password",ua);if(4===i&&p.length<16){this.encryptionKey=new Uint8Array(16);this.encryptionKey.set(p)}else this.encryptionKey=p;if(i>=4){const t=e.get("CF");t instanceof Dict&&(t.suppressEncryption=!0);this.cf=t;this.stmf=e.get("StmF")||Name.get("Identity");this.strf=e.get("StrF")||Name.get("Identity");this.eff=e.get("EFF")\
+||this.stmf}}createCipherTransform(e,t){if(4===this.algorithm||5===this.algorithm)return new CipherTransform(this.#Re(this.cf,this.strf,e,t,this.encryptionKey),this.#Re(this.cf,this.stmf,e,t,this.encryptionKey));const a=this.#Be(e,t,this.encryptionKey,!1),cipherConstructor=function(){return new ARCFourCipher(a)};return new CipherTransform(cipherConstructor,cipherConstructor)}}class XRef{#Ne=null;constructor(e,t){this.stream=e;this.pdfManager=t;this.entries=[];this._xrefStms=new Set;this._cacheMa\
+p=new Map;this._pendingRefs=new RefSet;this._newPersistentRefNum=null;this._newTemporaryRefNum=null;this._persistentRefsCache=null}getNewPersistentRef(e){null===this._newPersistentRefNum&&(this._newPersistentRefNum=this.entries.length||1);const t=this._newPersistentRefNum++;this._cacheMap.set(t,e);return Ref.get(t,0)}getNewTemporaryRef(){if(null===this._newTemporaryRefNum){this._newTemporaryRefNum=this.entries.length||1;if(this._newPersistentRefNum){this._persistentRefsCache=new Map;for(let e=th\
+is._newTemporaryRefNum;e<this._newPersistentRefNum;e++){this._persistentRefsCache.set(e,this._cacheMap.get(e));this._cacheMap.delete(e)}}}return Ref.get(this._newTemporaryRefNum++,0)}resetNewTemporaryRef(){this._newTemporaryRefNum=null;if(this._persistentRefsCache)for(const[e,t]of this._persistentRefsCache)this._cacheMap.set(e,t);this._persistentRefsCache=null}setStartXRef(e){this.startXRefQueue=[e]}parse(e=!1){let t,a,r;if(e){warn("Indexing all PDF objects");t=this.indexObjects()}else t=this.re\
+adXRef();t.assignXref(this);this.trailer=t;try{a=t.get("Encrypt")}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Encrypt" reference: "${e}".`)}if(a instanceof Dict){const e=t.get("ID"),r=e?.length?e[0]:"";a.suppressEncryption=!0;this.encrypt=new CipherTransformFactory(a,r,this.pdfManager.password)}try{r=t.get("Root")}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Root" reference: "${e}".`)}if(r instanceof Dict)try{if(r.get("Pa\
+ges")instanceof Dict){this.root=r;return}}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Pages" reference: "${e}".`)}if(!e)throw new XRefParseException;throw new InvalidPDFException("Invalid Root reference.")}processXRefTable(e){"tableState"in this||(this.tableState={entryNum:0,streamPos:e.lexer.stream.pos,parserBuf1:e.buf1,parserBuf2:e.buf2});if(!isCmd(this.readXRefTable(e),"trailer"))throw new FormatError("Invalid XRef table: could not find trailer dictionary\
+");let t=e.getObj();t instanceof Dict||!t.dict||(t=t.dict);if(!(t instanceof Dict))throw new FormatError("Invalid XRef table: could not parse trailer dictionary");delete this.tableState;return t}readXRefTable(e){const t=e.lexer.stream,a=this.tableState;t.pos=a.streamPos;e.buf1=a.parserBuf1;e.buf2=a.parserBuf2;let r;for(;;){if(!("firstEntryNum"in a)||!("entryCount"in a)){if(isCmd(r=e.getObj(),"trailer"))break;a.firstEntryNum=r;a.entryCount=e.getObj()}let i=a.firstEntryNum;const n=a.entryCount;if(\
+!Number.isInteger(i)||!Number.isInteger(n))throw new FormatError("Invalid XRef table: wrong types in subsection header");for(let r=a.entryNum;r<n;r++){a.streamPos=t.pos;a.entryNum=r;a.parserBuf1=e.buf1;a.parserBuf2=e.buf2;const s={};s.offset=e.getObj();s.gen=e.getObj();const o=e.getObj();if(o instanceof Cmd)switch(o.cmd){case"f":s.free=!0;break;case"n":s.uncompressed=!0}if(!Number.isInteger(s.offset)||!Number.isInteger(s.gen)||!s.free&&!s.uncompressed)throw new FormatError(`Invalid entry in XRef\
+ subsection: ${i}, ${n}`);0===r&&s.free&&1===i&&(i=0);this.entries[r+i]||(this.entries[r+i]=s)}a.entryNum=0;a.streamPos=t.pos;a.parserBuf1=e.buf1;a.parserBuf2=e.buf2;delete a.firstEntryNum;delete a.entryCount}if(this.entries[0]&&!this.entries[0].free)throw new FormatError("Invalid XRef table: unexpected first object");return r}processXRefStream(e){if(!("streamState"in this)){const{dict:t,pos:a}=e,r=t.get("W"),i=t.get("Index")||[0,t.get("Size")];this.streamState={entryRanges:i,byteWidths:r,entryN\
+um:0,streamPos:a}}this.readXRefStream(e);delete this.streamState;return e.dict}readXRefStream(e){const t=this.streamState;e.pos=t.streamPos;const[a,r,i]=t.byteWidths,n=t.entryRanges;for(;n.length>0;){const[s,o]=n;if(!Number.isInteger(s)||!Number.isInteger(o))throw new FormatError(`Invalid XRef range fields: ${s}, ${o}`);if(!Number.isInteger(a)||!Number.isInteger(r)||!Number.isInteger(i))throw new FormatError(`Invalid XRef entry fields length: ${s}, ${o}`);for(let n=t.entryNum;n<o;++n){t.entryNum\
+=n;t.streamPos=e.pos;let o=0,c=0,l=0;for(let t=0;t<a;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'type\'.");o=o<<8|t}0===a&&(o=1);for(let t=0;t<r;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'offset\'.");c=c<<8|t}for(let t=0;t<i;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'generation\'.");l=l<<8|t}const h={};h.offset=c;h.gen=l;switch(o){case 0:h.free=!0;break;case 1:h.uncompressed=!0;bre\
+ak;case 2:break;default:throw new FormatError(`Invalid XRef entry type: ${o}`)}this.entries[s+n]||(this.entries[s+n]=h)}t.entryNum=0;t.streamPos=e.pos;n.splice(0,2)}}indexObjects(){function readToken(e,t){let a="",r=e[t];for(;10!==r&&13!==r&&60!==r&&!(++t>=e.length);){a+=String.fromCharCode(r);r=e[t]}return a}function skipUntil(e,t,a){const r=a.length,i=e.length;let n=0;for(;t<i;){let i=0;for(;i<r&&e[t+i]===a[i];)++i;if(i>=r)break;t++;n++}return n}const e=/\\b(endobj|\\d+\\s+\\d+\\s+obj|xref|trailer\\\
+s*<<)\\b/g,t=/\\b(startxref|\\d+\\s+\\d+\\s+obj)\\b/g,a=/^(\\d+)\\s+(\\d+)\\s+obj\\b/,r=new Uint8Array([116,114,97,105,108,101,114]),i=new Uint8Array([115,116,97,114,116,120,114,101,102]),n=new Uint8Array([47,88,82,101,102]);this.entries.length=0;this._cacheMap.clear();const s=this.stream;s.pos=0;const o=s.getBytes(),c=bytesToString(o),l=o.length;let h=s.start;const u=[],d=[];for(;h<l;){let f=o[h];if(9===f||10===f||13===f||32===f){++h;continue}if(37===f){do{++h;if(h>=l)break;f=o[h]}while(10!==f&&13!==f);con\
+tinue}const g=readToken(o,h);let p;if(g.startsWith("xref")&&(4===g.length||/\\s/.test(g[4]))){h+=skipUntil(o,h,r);u.push(h);h+=skipUntil(o,h,i)}else if(p=a.exec(g)){const t=0|p[1],a=0|p[2],r=h+g.length;let i,u=!1;if(this.entries[t]){if(this.entries[t].gen===a)try{new Parser({lexer:new Lexer(s.makeSubStream(r))}).getObj();u=!0}catch(e){e instanceof ParserEOFException?warn(`indexObjects -- checking object (${g}): "${e}".`):u=!0}}else u=!0;u&&(this.entries[t]={offset:h-s.start,gen:a,uncompressed:!0}\
+);e.lastIndex=r;const f=e.exec(c);if(f){i=e.lastIndex+1-h;if("endobj"!==f[1]){warn(`indexObjects: Found "${f[1]}" inside of another "obj", caused by missing "endobj" -- trying to recover.`);i-=f[1].length+1}}else i=l-h;const m=o.subarray(h,h+i),b=skipUntil(m,0,n);if(b<i&&m[b+5]<64){d.push(h-s.start);this._xrefStms.add(h-s.start)}h+=i}else if(g.startsWith("trailer")&&(7===g.length||/\\s/.test(g[7]))){u.push(h);const e=h+g.length;let a;t.lastIndex=e;const r=t.exec(c);if(r){a=t.lastIndex+1-h;if("sta\
+rtxref"!==r[1]){warn(`indexObjects: Found "${r[1]}" after "trailer", caused by missing "startxref" -- trying to recover.`);a-=r[1].length+1}}else a=l-h;h+=a}else h+=g.length+1}for(const e of d){this.startXRefQueue.push(e);this.readXRef(!0)}const f=[];let g,p,m=!1;for(const e of u){s.pos=e;const t=new Parser({lexer:new Lexer(s),xref:this,allowStreams:!0,recoveryMode:!0});if(!isCmd(t.getObj(),"trailer"))continue;const a=t.getObj();if(a instanceof Dict){f.push(a);a.has("Encrypt")&&(m=!0)}}for(const\
+ e of[...f,"genFallback",...f]){if("genFallback"===e){if(!p)break;this._generationFallback=!0;continue}let t=!1;try{const a=e.get("Root");if(!(a instanceof Dict))continue;const r=a.get("Pages");if(!(r instanceof Dict))continue;const i=r.get("Count");Number.isInteger(i)&&(t=!0)}catch(e){p=e;continue}if(t&&(!m||e.has("Encrypt"))&&e.has("ID"))return e;g=e}if(g)return g;if(this.topDict)return this.topDict;if(!f.length)for(const[e,t]of this.entries.entries()){if(!t)continue;const a=Ref.get(e,t.gen);l\
+et r;try{r=this.fetch(a)}catch{continue}r instanceof BaseStream&&(r=r.dict);if(r instanceof Dict&&r.has("Root"))return r}throw new InvalidPDFException("Invalid PDF structure.")}readXRef(e=!1){const t=this.stream,a=new Set;for(;this.startXRefQueue.length;){try{const e=this.startXRefQueue[0];if(a.has(e)){warn("readXRef - skipping XRef table since it was already parsed.");this.startXRefQueue.shift();continue}a.add(e);t.pos=e+t.start;const r=new Parser({lexer:new Lexer(t),xref:this,allowStreams:!0})\
+;let i,n=r.getObj();if(isCmd(n,"xref")){i=this.processXRefTable(r);this.topDict||(this.topDict=i);n=i.get("XRefStm");if(Number.isInteger(n)&&!this._xrefStms.has(n)){this._xrefStms.add(n);this.startXRefQueue.push(n);this.#Ne??=n}}else{if(!Number.isInteger(n))throw new FormatError("Invalid XRef stream header");if(!(Number.isInteger(r.getObj())&&isCmd(r.getObj(),"obj")&&(n=r.getObj())instanceof BaseStream))throw new FormatError("Invalid XRef stream");i=this.processXRefStream(n);this.topDict||(this.\
+topDict=i);if(!i)throw new FormatError("Failed to read XRef stream")}n=i.get("Prev");Number.isInteger(n)?this.startXRefQueue.push(n):n instanceof Ref&&this.startXRefQueue.push(n.num)}catch(e){if(e instanceof MissingDataException)throw e;info("(while reading XRef): "+e)}this.startXRefQueue.shift()}if(this.topDict)return this.topDict;if(!e)throw new XRefParseException}get lastXRefStreamPos(){return this.#Ne??(this._xrefStms.size>0?Math.max(...this._xrefStms):null)}getEntry(e){const t=this.entries[\
+e];return t&&!t.free&&t.offset?t:null}fetchIfRef(e,t=!1){return e instanceof Ref?this.fetch(e,t):e}fetch(e,t=!1){if(!(e instanceof Ref))throw new Error("ref object is not a reference");const a=e.num,r=this._cacheMap.get(a);if(void 0!==r){r instanceof Dict&&!r.objId&&(r.objId=e.toString());return r}let i=this.getEntry(a);if(null===i)return i;if(this._pendingRefs.has(e)){this._pendingRefs.remove(e);warn(`Ignoring circular reference: ${e}.`);return ya}this._pendingRefs.put(e);try{i=i.uncompressed?t\
+his.fetchUncompressed(e,i,t):this.fetchCompressed(e,i,t);this._pendingRefs.remove(e)}catch(t){this._pendingRefs.remove(e);throw t}i instanceof Dict?i.objId=e.toString():i instanceof BaseStream&&(i.dict.objId=e.toString());return i}fetchUncompressed(e,t,a=!1){const r=e.gen;let i=e.num;if(t.gen!==r){const n=`Inconsistent generation in XRef: ${e}`;if(this._generationFallback&&t.gen<r){warn(n);return this.fetchUncompressed(Ref.get(i,t.gen),t,a)}throw new XRefEntryException(n)}const n=this.stream.mak\
+eSubStream(t.offset+this.stream.start),s=new Parser({lexer:new Lexer(n),xref:this,allowStreams:!0}),o=s.getObj(),c=s.getObj(),l=s.getObj();if(o!==i||c!==r||!(l instanceof Cmd))throw new XRefEntryException(`Bad (uncompressed) XRef entry: ${e}`);if("obj"!==l.cmd){if(l.cmd.startsWith("obj")){i=parseInt(l.cmd.substring(3),10);if(!Number.isNaN(i))return i}throw new XRefEntryException(`Bad (uncompressed) XRef entry: ${e}`)}(t=this.encrypt&&!a?s.getObj(this.encrypt.createCipherTransform(i,r)):s.getObj(\
+))instanceof BaseStream||this._cacheMap.set(i,t);return t}fetchCompressed(e,t,a=!1){const r=t.offset,i=this.fetch(Ref.get(r,0));if(!(i instanceof BaseStream))throw new FormatError("bad ObjStm stream");const n=i.dict.get("First"),s=i.dict.get("N");if(!Number.isInteger(n)||!Number.isInteger(s))throw new FormatError("invalid first and n parameters for ObjStm stream");let o=new Parser({lexer:new Lexer(i),xref:this,allowStreams:!0});const c=new Array(s),l=new Array(s);for(let e=0;e<s;++e){const t=o.g\
+etObj();if(!Number.isInteger(t))throw new FormatError(`invalid object number in the ObjStm stream: ${t}`);const a=o.getObj();if(!Number.isInteger(a))throw new FormatError(`invalid object offset in the ObjStm stream: ${a}`);c[e]=t;const i=this.getEntry(t);i?.offset===r&&i.gen!==e&&(i.gen=e);l[e]=a}const h=(i.start||0)+n,u=new Array(s);for(let e=0;e<s;++e){const t=e<s-1?l[e+1]-l[e]:void 0;if(t<0)throw new FormatError("Invalid offset in the ObjStm stream.");o=new Parser({lexer:new Lexer(i.makeSubSt\
+ream(h+l[e],t,i.dict)),xref:this,allowStreams:!0});const a=o.getObj();u[e]=a;if(a instanceof BaseStream)continue;const n=c[e],d=this.entries[n];d&&d.offset===r&&d.gen===e&&this._cacheMap.set(n,a)}if(void 0===(t=u[t.gen]))throw new XRefEntryException(`Bad (compressed) XRef entry: ${e}`);return t}async fetchIfRefAsync(e,t){return e instanceof Ref?this.fetchAsync(e,t):e}async fetchAsync(e,t){try{return this.fetch(e,t)}catch(a){if(!(a instanceof MissingDataException))throw a;await this.pdfManager.re\
+questRange(a.begin,a.end);return this.fetchAsync(e,t)}}getCatalogObj(){return this.root}}const yc=[0,0,612,792];class Page{#Ee=null;constructor({pdfManager:e,xref:t,pageIndex:a,pageDict:r,ref:i,globalIdFactory:n,fontCache:s,builtInCMapCache:o,standardFontDataCache:c,globalColorSpaceCache:l,globalImageCache:h,systemFontCache:u,nonBlendModesSet:d,xfaFactory:f}){this.pdfManager=e;this.pageIndex=a;this.pageDict=r;this.xref=t;this.ref=i;this.fontCache=s;this.builtInCMapCache=o;this.standardFontDataCa\
+che=c;this.globalColorSpaceCache=l;this.globalImageCache=h;this.systemFontCache=u;this.nonBlendModesSet=d;this.evaluatorOptions=e.evaluatorOptions;this.xfaFactory=f;const g={obj:0};this._localIdFactory=class extends n{static createObjId(){return`p${a}_${++g.obj}`}static getPageObjId(){return`p${i.toString()}`}}}#Pe(e){return new PartialEvaluator({xref:this.xref,handler:e,pageIndex:this.pageIndex,idFactory:this._localIdFactory,fontCache:this.fontCache,builtInCMapCache:this.builtInCMapCache,standa\
+rdFontDataCache:this.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:this.globalImageCache,systemFontCache:this.systemFontCache,options:this.evaluatorOptions})}#Le(e,t=!1){const a=getInheritableProperty({dict:this.pageDict,key:e,getArray:t,stopWhenFound:!1});return Array.isArray(a)?1!==a.length&&a[0]instanceof Dict?Dict.merge({xref:this.xref,dictArray:a}):a[0]:a}get content(){return this.pageDict.getArray("Contents")}get resources(){const e=this.#Le("Resou\
+rces");return shadow(this,"resources",e instanceof Dict?e:Dict.empty)}#je(e){if(this.xfaData)return this.xfaData.bbox;const t=lookupNormalRect(this.#Le(e,!0),null);if(t){if(t[2]-t[0]>0&&t[3]-t[1]>0)return t;warn(`Empty, or invalid, /${e} entry.`)}return null}get mediaBox(){return shadow(this,"mediaBox",this.#je("MediaBox")||yc)}get cropBox(){return shadow(this,"cropBox",this.#je("CropBox")||this.mediaBox)}get userUnit(){const e=this.pageDict.get("UserUnit");return shadow(this,"userUnit","number"\
+==typeof e&&e>0?e:1)}get view(){const{cropBox:e,mediaBox:t}=this;if(e!==t&&!isArrayEqual(e,t)){const a=Util.intersect(e,t);if(a&&a[2]-a[0]>0&&a[3]-a[1]>0)return shadow(this,"view",a);warn("Empty /CropBox and /MediaBox intersection.")}return shadow(this,"view",t)}get rotate(){let e=this.#Le("Rotate")||0;e%90!=0?e=0:e>=360?e%=360:e<0&&(e=(e%360+360)%360);return shadow(this,"rotate",e)}#_e(e,t){if(!this.evaluatorOptions.ignoreErrors)throw e;warn(`getContentStream - ignoring sub-stream (${t}): "${e}\
+".`)}async getContentStream(){const e=await this.pdfManager.ensure(this,"content");return e instanceof BaseStream?e:Array.isArray(e)?new StreamsSequenceStream(e,this.#_e.bind(this)):new NullStream}get xfaData(){return shadow(this,"xfaData",this.xfaFactory?{bbox:this.xfaFactory.getBoundingBox(this.pageIndex)}:null)}async#Ue(e,t,a){const r=[];for(const i of e)if(i.id){const e=Ref.fromString(i.id);if(!e){warn(`A non-linked annotation cannot be modified: ${i.id}`);continue}if(i.deleted){t.put(e,e);i\
+f(i.popupRef){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}continue}if(i.popup?.deleted){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}a?.put(e);i.ref=e;r.push(this.xref.fetchAsync(e).then((e=>{e instanceof Dict&&(i.oldAnnotation=e.clone())}),(()=>{warn(`Cannot fetch \\`oldAnnotation\\` for: ${e}.`)})));delete i.id}await Promise.all(r)}async saveNewAnnotations(e,t,a,r,i){if(this.xfaFactory)throw new Error("XFA: Cannot save new annotations.");const n=this.#Pe(e),s=new RefSetCache,o=new RefSe\
+t;await this.#Ue(a,s,o);const c=this.pageDict,l=this.annotations.filter((e=>!(e instanceof Ref&&s.has(e)))),h=await AnnotationFactory.saveNewAnnotations(n,t,a,r,i);for(const{ref:e}of h.annotations)e instanceof Ref&&!o.has(e)&&l.push(e);const u=c.clone();u.set("Annots",l);i.put(this.ref,{data:u});for(const e of s)i.put(e,{data:null})}async save(e,t,a,r){const i=this.#Pe(e),n=await this._parsedAnnotations,s=[];for(const e of n)s.push(e.save(i,t,a,r).catch((function(e){warn(`save - ignoring annotat\
+ion data during "${t.name}" task: "${e}".`);return null})));return Promise.all(s)}async loadResources(e){await(this.#Ee??=this.pdfManager.ensure(this,"resources"));await ObjectLoader.load(this.resources,e,this.xref)}async#Xe(e,t){const a=e?.get("Resources");if(!(a instanceof Dict&&a.size))return this.resources;await ObjectLoader.load(a,t,this.xref);return Dict.merge({xref:this.xref,dictArray:[a,this.resources],mergeSubDicts:!0})}async getOperatorList({handler:e,sink:t,task:a,intent:r,cacheKey:i,\
+annotationStorage:c=null,modifiedIds:d=null}){const g=this.getContentStream(),p=this.loadResources(Ia),m=this.#Pe(e),b=this.xfaFactory?null:getNewAnnotationsMap(c),y=b?.get(this.pageIndex);let w=Promise.resolve(null),x=null;if(y){const e=this.pdfManager.ensureDoc("annotationGlobals");let t;const r=new Set;for(const{bitmapId:e,bitmap:t}of y)!e||t||r.has(e)||r.add(e);const{isOffscreenCanvasSupported:i}=this.evaluatorOptions;if(r.size>0){const e=y.slice();for(const[t,a]of c)t.startsWith(f)&&a.bitma\
+p&&r.has(a.bitmapId)&&e.push(a);t=AnnotationFactory.generateImages(e,this.xref,i)}else t=AnnotationFactory.generateImages(y,this.xref,i);x=new RefSet;w=Promise.all([e,this.#Ue(y,x,null)]).then((([e])=>e?AnnotationFactory.printNewAnnotations(e,m,a,y,t):null))}const S=Promise.all([g,p]).then((async([n])=>{const s=await this.#Xe(n.dict,Ia),o=new OperatorList(r,t);e.send("StartRenderPage",{transparency:m.hasBlendModes(s,this.nonBlendModesSet),pageIndex:this.pageIndex,cacheKey:i});await m.getOperator\
+List({stream:n,task:a,resources:s,operatorList:o});return o}));let[k,C,v]=await Promise.all([S,this._parsedAnnotations,w]);if(v){C=C.filter((e=>!(e.ref&&x.has(e.ref))));for(let e=0,t=v.length;e<t;e++){const a=v[e];if(a.refToReplace){const r=C.findIndex((e=>e.ref&&isRefsEqual(e.ref,a.refToReplace)));if(r>=0){C.splice(r,1,a);v.splice(e--,1);t--}}}C=C.concat(v)}if(0===C.length||r&h){k.flush(!0);return{length:k.totalLength}}const F=!!(r&l),T=!!(r&u),O=!!(r&n),M=!!(r&s),D=!!(r&o),R=[];for(const e of \
+C)(O||M&&e.mustBeViewed(c,F)&&e.mustBeViewedWhenEditing(T,d)||D&&e.mustBePrinted(c))&&R.push(e.getOperatorList(m,a,r,c).catch((function(e){warn(`getOperatorList - ignoring annotation data during "${a.name}" task: "${e}".`);return{opList:null,separateForm:!1,separateCanvas:!1}})));const N=await Promise.all(R);let E=!1,L=!1;for(const{opList:e,separateForm:t,separateCanvas:a}of N){k.addOpList(e);E||=t;L||=a}k.flush(!0,{form:E,canvas:L});return{length:k.totalLength}}async extractTextContent({handler\
+:e,task:t,includeMarkedContent:a,disableNormalization:r,sink:i,intersector:n=null}){const s=this.getContentStream(),o=this.loadResources(Ta),c=this.pdfManager.ensureCatalog("lang"),[l,,h]=await Promise.all([s,o,c]),u=await this.#Xe(l.dict,Ta);return this.#Pe(e).getTextContent({stream:l,task:t,resources:u,includeMarkedContent:a,disableNormalization:r,sink:i,viewBox:this.view,lang:h,intersector:n})}async getStructTree(){const e=await this.pdfManager.ensureCatalog("structTreeRoot");if(!e)return nul\
+l;await this._parsedAnnotations;try{const t=await this.pdfManager.ensure(this,"_parseStructTree",[e]);return await this.pdfManager.ensure(t,"serializable")}catch(e){warn(`getStructTree: "${e}".`);return null}}_parseStructTree(e){const t=new StructTreePage(e,this.pageDict);t.parse(this.ref);return t}async getAnnotationsData(e,t,a){const r=await this._parsedAnnotations;if(0===r.length)return r;const i=[],c=[];let l;const h=!!(a&n),u=!!(a&s),d=!!(a&o),f=[];for(const a of r){const r=h||u&&a.viewable\
+;(r||d&&a.printable)&&i.push(a.data);if(a.hasTextContent&&r){l??=this.#Pe(e);c.push(a.extractTextContent(l,t,[-1/0,-1/0,1/0,1/0]).catch((function(e){warn(`getAnnotationsData - ignoring textContent during "${t.name}" task: "${e}".`)})))}else a.overlaysTextContent&&r&&f.push(a)}if(f.length>0){const a=new Intersector(f);c.push(this.extractTextContent({handler:e,task:t,includeMarkedContent:!1,disableNormalization:!1,sink:null,viewBox:this.view,lang:null,intersector:a}).then((()=>{a.setText()})))}awa\
+it Promise.all(c);return i}get annotations(){const e=this.#Le("Annots");return shadow(this,"annotations",Array.isArray(e)?e:[])}get _parsedAnnotations(){return shadow(this,"_parsedAnnotations",this.pdfManager.ensure(this,"annotations").then((async e=>{if(0===e.length)return e;const[t,a]=await Promise.all([this.pdfManager.ensureDoc("annotationGlobals"),this.pdfManager.ensureDoc("fieldObjects")]);if(!t)return[];const r=a?.orphanFields,i=[];for(const a of e)i.push(AnnotationFactory.create(this.xref\
+,a,t,this._localIdFactory,!1,r,this.ref).catch((function(e){warn(`_parsedAnnotations: "${e}".`);return null})));const n=[];let s,o;for(const e of await Promise.all(i))e&&(e instanceof WidgetAnnotation?(o||=[]).push(e):e instanceof PopupAnnotation?(s||=[]).push(e):n.push(e));o&&n.push(...o);s&&n.push(...s);return n})))}get jsActions(){return shadow(this,"jsActions",collectActions(this.xref,this.pageDict,xe))}}const wc=new Uint8Array([37,80,68,70,45]),xc=new Uint8Array([115,116,97,114,116,120,114,\
+101,102]),Sc=new Uint8Array([101,110,100,111,98,106]);function find(e,t,a=1024,r=!1){const i=t.length,n=e.peekBytes(a),s=n.length-i;if(s<=0)return!1;if(r){const a=i-1;let r=n.length-1;for(;r>=a;){let s=0;for(;s<i&&n[r-s]===t[a-s];)s++;if(s>=i){e.pos+=r-a;return!0}r--}}else{let a=0;for(;a<=s;){let r=0;for(;r<i&&n[a+r]===t[r];)r++;if(r>=i){e.pos+=a;return!0}a++}}return!1}class PDFDocument{#qe=new Map;#He=null;constructor(e,t){if(t.length<=0)throw new InvalidPDFException("The PDF file is empty, i.e\
+. its size is zero bytes.");this.pdfManager=e;this.stream=t;this.xref=new XRef(t,e);const a={font:0};this._globalIdFactory=class{static getDocId(){return`g_${e.docId}`}static createFontId(){return"f"+ ++a.font}static createObjId(){unreachable("Abstract method `createObjId` called.")}static getPageObjId(){unreachable("Abstract method `getPageObjId` called.")}}}parse(e){this.xref.parse(e);this.catalog=new Catalog(this.pdfManager,this.xref)}get linearization(){let e=null;try{e=Linearization.create(\
+this.stream)}catch(e){if(e instanceof MissingDataException)throw e;info(e)}return shadow(this,"linearization",e)}get startXRef(){const e=this.stream;let t=0;if(this.linearization){e.reset();if(find(e,Sc)){e.skip(6);let a=e.peekByte();for(;isWhiteSpace(a);){e.pos++;a=e.peekByte()}t=e.pos-e.start}}else{const a=1024,r=xc.length;let i=!1,n=e.end;for(;!i&&n>0;){n-=a-r;n<0&&(n=0);e.pos=n;i=find(e,xc,a,!0)}if(i){e.skip(9);let a;do{a=e.getByte()}while(isWhiteSpace(a));let r="";for(;a>=32&&a<=57;){r+=Str\
+ing.fromCharCode(a);a=e.getByte()}t=parseInt(r,10);isNaN(t)&&(t=0)}}return shadow(this,"startXRef",t)}checkHeader(){const e=this.stream;e.reset();if(!find(e,wc))return;e.moveStart();e.skip(wc.length);let t,a="";for(;(t=e.getByte())>32&&a.length<7;)a+=String.fromCharCode(t);Ca.test(a)?this.#He=a:warn(`Invalid PDF header version: ${a}`)}parseStartXRef(){this.xref.setStartXRef(this.startXRef)}get numPages(){let e=0;e=this.catalog.hasActualNumPages?this.catalog.numPages:this.xfaFactory?this.xfaFacto\
+ry.getNumPages():this.linearization?this.linearization.numPages:this.catalog.numPages;return shadow(this,"numPages",e)}#We(e,t=0){return!!Array.isArray(e)&&e.every((e=>{if(!((e=this.xref.fetchIfRef(e))instanceof Dict))return!1;if(e.has("Kids")){if(++t>10){warn("#hasOnlyDocumentSignatures: maximum recursion depth reached");return!1}return this.#We(e.get("Kids"),t)}const a=isName(e.get("FT"),"Sig"),r=e.get("Rect"),i=Array.isArray(r)&&r.every((e=>0===e));return a&&i}))}#ze(e,t,a=new RefSet){if(Arra\
+y.isArray(e))for(let r of e){if(r instanceof Ref){if(a.has(r))continue;a.put(r)}r=this.xref.fetchIfRef(r);if(!(r instanceof Dict))continue;if(r.has("Kids")){this.#ze(r.get("Kids"),t,a);continue}if(!isName(r.get("FT"),"Sig"))continue;const e=r.get("V");if(!(e instanceof Dict))continue;const i=e.get("SubFilter");i instanceof Name&&t.add(i.name)}}get _xfaStreams(){const{acroForm:e}=this.catalog;if(!e)return null;const t=e.get("XFA"),a=new Map(["xdp:xdp","template","datasets","config","connectionSet\
+","localeSet","stylesheet","/xdp:xdp"].map((e=>[e,null])));if(t instanceof BaseStream&&!t.isEmpty){a.set("xdp:xdp",t);return a}if(!Array.isArray(t)||0===t.length)return null;for(let e=0,r=t.length;e<r;e+=2){let i;i=0===e?"xdp:xdp":e===r-2?"/xdp:xdp":t[e];if(!a.has(i))continue;const n=this.xref.fetchIfRef(t[e+1]);n instanceof BaseStream&&!n.isEmpty&&a.set(i,n)}return a}get xfaDatasets(){const e=this._xfaStreams;if(!e)return shadow(this,"xfaDatasets",null);for(const t of["datasets","xdp:xdp"]){con\
+st a=e.get(t);if(a)try{const e=stringToUTF8String(a.getString());return shadow(this,"xfaDatasets",new DatasetReader({[t]:e}))}catch{warn("XFA - Invalid utf-8 string.");break}}return shadow(this,"xfaDatasets",null)}get xfaData(){const e=this._xfaStreams;if(!e)return null;const t=Object.create(null);for(const[a,r]of e)if(r)try{t[a]=stringToUTF8String(r.getString())}catch{warn("XFA - Invalid utf-8 string.");return null}return t}get xfaFactory(){let e;this.pdfManager.enableXfa&&this.catalog.needsRen\
+dering&&this.formInfo.hasXfa&&!this.formInfo.hasAcroForm&&(e=this.xfaData);return shadow(this,"xfaFactory",e?new XFAFactory(e):null)}get isPureXfa(){return!!this.xfaFactory&&this.xfaFactory.isValid()}get htmlForXfa(){return this.xfaFactory?this.xfaFactory.getPages():null}async#$e(){const e=await this.pdfManager.ensureCatalog("xfaImages");e&&this.xfaFactory.setImages(e)}async#Ge(e,t){const a=await this.pdfManager.ensureCatalog("acroForm");if(!a)return;const r=await a.getAsync("DR");if(!(r instanc\
+eof Dict))return;await ObjectLoader.load(r,["Font"],this.xref);const i=r.get("Font");if(!(i instanceof Dict))return;const n=Object.assign(Object.create(null),this.pdfManager.evaluatorOptions,{useSystemFonts:!1}),{builtInCMapCache:s,fontCache:o,standardFontDataCache:c}=this.catalog,l=new PartialEvaluator({xref:this.xref,handler:e,pageIndex:-1,idFactory:this._globalIdFactory,fontCache:o,builtInCMapCache:s,standardFontDataCache:c,options:n}),h=new OperatorList,u=[],d={get font(){return u.at(-1)},se\
+t font(e){u.push(e)},clone(){return this}},parseFont=(e,a,i)=>l.handleSetFont(r,[Name.get(e),1],null,h,t,d,a,i).catch((e=>{warn(`loadXfaFonts: "${e}".`);return null})),f=[];for(const[e,t]of i){const a=t.get("FontDescriptor");if(!(a instanceof Dict))continue;let r=a.get("FontFamily");r=r.replaceAll(/[ ]+(\\d)/g,"$1");const i={fontFamily:r,fontWeight:a.get("FontWeight"),italicAngle:-a.get("ItalicAngle")};validateCSSFont(i)&&f.push(parseFont(e,null,i))}await Promise.all(f);const g=this.xfaFactory.se\
+tFonts(u);if(!g)return;n.ignoreErrors=!0;f.length=0;u.length=0;const p=new Set;for(const e of g)getXfaFontName(`${e}-Regular`)||p.add(e);p.size&&g.push("PdfJS-Fallback");for(const e of g)if(!p.has(e))for(const t of[{name:"Regular",fontWeight:400,italicAngle:0},{name:"Bold",fontWeight:700,italicAngle:0},{name:"Italic",fontWeight:400,italicAngle:12},{name:"BoldItalic",fontWeight:700,italicAngle:12}]){const a=`${e}-${t.name}`;f.push(parseFont(a,getXfaFontDict(a),{fontFamily:e,fontWeight:t.fontWeigh\
+t,italicAngle:t.italicAngle}))}await Promise.all(f);this.xfaFactory.appendFonts(u,p)}loadXfaResources(e,t){return Promise.all([this.#Ge(e,t).catch((()=>{})),this.#$e()])}serializeXfaData(e){return this.xfaFactory?this.xfaFactory.serializeData(e):null}get version(){return this.catalog.version||this.#He}get formInfo(){const e={hasFields:!1,hasAcroForm:!1,hasXfa:!1,hasSignatures:!1},{acroForm:t}=this.catalog;if(!t)return shadow(this,"formInfo",e);try{const a=t.get("Fields"),r=Array.isArray(a)&&a.le\
+ngth>0;e.hasFields=r;const i=t.get("XFA");e.hasXfa=Array.isArray(i)&&i.length>0||i instanceof BaseStream&&!i.isEmpty;const n=!!(1&t.get("SigFlags")),s=n&&this.#We(a);e.hasAcroForm=r&&!s;e.hasSignatures=n}catch(e){if(e instanceof MissingDataException)throw e;warn(`Cannot fetch form information: "${e}".`)}return shadow(this,"formInfo",e)}get documentInfo(){const{catalog:e,formInfo:t,xref:a}=this,r={PDFFormatVersion:this.version,Language:e.lang,EncryptFilterName:a.encrypt?.filterName??null,IsLinear\
+ized:!!this.linearization,IsAcroFormPresent:t.hasAcroForm,IsXFAPresent:t.hasXfa,IsCollectionPresent:!!e.collection,IsSignaturesPresent:t.hasSignatures};let i;try{i=a.trailer.get("Info")}catch(e){if(e instanceof MissingDataException)throw e;info("The document information dictionary is invalid.")}if(!(i instanceof Dict))return shadow(this,"documentInfo",r);for(const[e,t]of i){switch(e){case"Title":case"Author":case"Subject":case"Keywords":case"Creator":case"Producer":case"CreationDate":case"ModDat\
+e":if("string"==typeof t){r[e]=stringToPDFString(t);continue}break;case"Trapped":if(t instanceof Name){r[e]=t;continue}break;default:let a;switch(typeof t){case"string":a=stringToPDFString(t);break;case"number":case"boolean":a=t;break;default:t instanceof Name&&(a=t)}if(void 0===a){warn(`Bad value, for custom key "${e}", in Info: ${t}.`);continue}r.Custom??=Object.create(null);r.Custom[e]=a;continue}warn(`Bad value, for key "${e}", in Info: ${t}.`)}return shadow(this,"documentInfo",r)}get finger\
+prints(){const e="\\0".repeat(16);function validate(t){return"string"==typeof t&&16===t.length&&t!==e}const t=this.xref.trailer.get("ID");let a,r;if(Array.isArray(t)&&validate(t[0])){a=stringToBytes(t[0]);t[1]!==t[0]&&validate(t[1])&&(r=stringToBytes(t[1]))}else a=calculateMD5(this.stream.getByteRange(0,1024),0,1024);return shadow(this,"fingerprints",[toHexUtil(a),r?toHexUtil(r):null])}async#Ve(e){const{catalog:t,linearization:a,xref:r}=this,i=Ref.get(a.objectNumberFirst,0);try{const e=await r.fe\
+tchAsync(i);if(e instanceof Dict){let a=e.getRaw("Type");a instanceof Ref&&(a=await r.fetchAsync(a));if(isName(a,"Page")||!e.has("Type")&&!e.has("Kids")&&e.has("Contents")){t.pageKidsCountCache.has(i)||t.pageKidsCountCache.put(i,1);t.pageIndexCache.has(i)||t.pageIndexCache.put(i,0);return[e,i]}}throw new FormatError("The Linearization dictionary doesn\'t point to a valid Page dictionary.")}catch(a){warn(`_getLinearizationPage: "${a.message}".`);return t.getPageDict(e)}}getPage(e){const t=this.#qe\
+.get(e);if(t)return t;const{catalog:a,linearization:r,xfaFactory:i}=this;let n;n=i?Promise.resolve([Dict.empty,null]):r?.pageFirst===e?this.#Ve(e):a.getPageDict(e);n=n.then((([t,r])=>new Page({pdfManager:this.pdfManager,xref:this.xref,pageIndex:e,pageDict:t,ref:r,globalIdFactory:this._globalIdFactory,fontCache:a.fontCache,builtInCMapCache:a.builtInCMapCache,standardFontDataCache:a.standardFontDataCache,globalColorSpaceCache:a.globalColorSpaceCache,globalImageCache:a.globalImageCache,systemFontCa\
+che:a.systemFontCache,nonBlendModesSet:a.nonBlendModesSet,xfaFactory:i})));this.#qe.set(e,n);return n}async checkFirstPage(e=!1){if(!e)try{await this.getPage(0)}catch(e){if(e instanceof XRefEntryException){this.#qe.delete(0);await this.cleanup();throw new XRefParseException}}}async checkLastPage(e=!1){const{catalog:t,pdfManager:a}=this;t.setActualNumPages();let r;try{await Promise.all([a.ensureDoc("xfaFactory"),a.ensureDoc("linearization"),a.ensureCatalog("numPages")]);if(this.xfaFactory)return;\
+r=this.linearization?this.linearization.numPages:t.numPages;if(!Number.isInteger(r))throw new FormatError("Page count is not an integer.");if(r<=1)return;await this.getPage(r-1)}catch(i){this.#qe.delete(r-1);await this.cleanup();if(i instanceof XRefEntryException&&!e)throw new XRefParseException;warn(`checkLastPage - invalid /Pages tree /Count: ${r}.`);let n;try{n=await t.getAllPageDicts(e)}catch(a){if(a instanceof XRefEntryException&&!e)throw new XRefParseException;t.setActualNumPages(1);return\
+}for(const[e,[r,i]]of n){let n;if(r instanceof Error){n=Promise.reject(r);n.catch((()=>{}))}else n=Promise.resolve(new Page({pdfManager:a,xref:this.xref,pageIndex:e,pageDict:r,ref:i,globalIdFactory:this._globalIdFactory,fontCache:t.fontCache,builtInCMapCache:t.builtInCMapCache,standardFontDataCache:t.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:t.globalImageCache,systemFontCache:t.systemFontCache,nonBlendModesSet:t.nonBlendModesSet,xfaFactory:null}));th\
+is.#qe.set(e,n)}t.setActualNumPages(n.size)}}async fontFallback(e,t){const{catalog:a,pdfManager:r}=this;for(const i of await Promise.all(a.fontCache))if(i.loadedName===e){i.fallback(t,r.evaluatorOptions);return}}async cleanup(e=!1){return this.catalog?this.catalog.cleanup(e):clearGlobalCaches()}async#Ke(e,t,a,r,i,n,s){const{xref:o}=this;if(!(a instanceof Ref)||n.has(a))return;n.put(a);const c=await o.fetchAsync(a);if(!(c instanceof Dict))return;let l=await c.getAsync("Subtype");l=l instanceof Na\
+me?l.name:null;if("Link"===l)return;if(c.has("T")){const t=stringToPDFString(await c.getAsync("T"));e=""===e?t:`${e}.${t}`}else{let a=c;for(;;){a=a.getRaw("Parent")||t;if(a instanceof Ref){if(n.has(a))break;a=await o.fetchAsync(a)}if(!(a instanceof Dict))break;if(a.has("T")){const t=stringToPDFString(await a.getAsync("T"));e=""===e?t:`${e}.${t}`;break}}}t&&!c.has("Parent")&&isName(c.get("Subtype"),"Widget")&&s.put(a,t);r.has(e)||r.set(e,[]);r.get(e).push(AnnotationFactory.create(o,a,i,null,!0,s,\
+null).then((e=>e?.getFieldObject())).catch((function(e){warn(`#collectFieldObjects: "${e}".`);return null})));if(!c.has("Kids"))return;const h=await c.getAsync("Kids");if(Array.isArray(h))for(const t of h)await this.#Ke(e,a,t,r,i,n,s)}get fieldObjects(){return shadow(this,"fieldObjects",this.pdfManager.ensureDoc("formInfo").then((async e=>{if(!e.hasFields)return null;const t=await this.annotationGlobals;if(!t)return null;const{acroForm:a}=t,r=new RefSet,i=Object.create(null),n=new Map,s=new RefS\
+etCache;for(const e of a.get("Fields"))await this.#Ke("",null,e,n,t,r,s);const o=[];for(const[e,t]of n)o.push(Promise.all(t).then((t=>{(t=t.filter((e=>!!e))).length>0&&(i[e]=t)})));await Promise.all(o);return{allFields:objectSize(i)>0?i:null,orphanFields:s}})))}get hasJSActions(){return shadow(this,"hasJSActions",this.pdfManager.ensureDoc("_parseHasJSActions"))}async _parseHasJSActions(){const[e,t]=await Promise.all([this.pdfManager.ensureCatalog("jsActions"),this.pdfManager.ensureDoc("fieldObje\
+cts")]);return!!e||!!t?.allFields&&Object.values(t.allFields).some((e=>e.some((e=>null!==e.actions))))}get calculationOrderIds(){const e=this.catalog.acroForm?.get("CO");if(!Array.isArray(e)||0===e.length)return shadow(this,"calculationOrderIds",null);const t=[];for(const a of e)a instanceof Ref&&t.push(a.toString());return shadow(this,"calculationOrderIds",t.length?t:null)}get annotationGlobals(){return shadow(this,"annotationGlobals",AnnotationFactory.createGlobals(this.pdfManager))}}class Bas\
+ePdfManager{constructor({docBaseUrl:e,docId:t,enableXfa:a,evaluatorOptions:r,handler:i,password:n}){this._docBaseUrl=function parseDocBaseUrl(e){if(e){const t=createValidAbsoluteUrl(e);if(t)return t.href;warn(`Invalid absolute docBaseUrl: "${e}".`)}return null}(e);this._docId=t;this._password=n;this.enableXfa=a;r.isOffscreenCanvasSupported&&=FeatureTest.isOffscreenCanvasSupported;r.isImageDecoderSupported&&=FeatureTest.isImageDecoderSupported;this.evaluatorOptions=Object.freeze(r);ImageResizer.s\
+etOptions(r);JpegStream.setOptions(r);OperatorList.setOptions(r);const s={...r,handler:i};JpxImage.setOptions(s);IccColorSpace.setOptions(s);CmykICCBasedCS.setOptions(s)}get docId(){return this._docId}get password(){return this._password}get docBaseUrl(){return this._docBaseUrl}ensureDoc(e,t){return this.ensure(this.pdfDocument,e,t)}ensureXRef(e,t){return this.ensure(this.pdfDocument.xref,e,t)}ensureCatalog(e,t){return this.ensure(this.pdfDocument.catalog,e,t)}getPage(e){return this.pdfDocument.\
+getPage(e)}fontFallback(e,t){return this.pdfDocument.fontFallback(e,t)}cleanup(e=!1){return this.pdfDocument.cleanup(e)}async ensure(e,t,a){unreachable("Abstract method `ensure` called")}requestRange(e,t){unreachable("Abstract method `requestRange` called")}requestLoadedStream(e=!1){unreachable("Abstract method `requestLoadedStream` called")}sendProgressiveData(e){unreachable("Abstract method `sendProgressiveData` called")}updatePassword(e){this._password=e}terminate(e){unreachable("Abstract met\
+hod `terminate` called")}}class LocalPdfManager extends BasePdfManager{constructor(e){super(e);const t=new Stream(e.source);this.pdfDocument=new PDFDocument(this,t);this._loadedStreamPromise=Promise.resolve(t)}async ensure(e,t,a){const r=e[t];return"function"==typeof r?r.apply(e,a):r}requestRange(e,t){return Promise.resolve()}requestLoadedStream(e=!1){return this._loadedStreamPromise}terminate(e){}}class NetworkPdfManager extends BasePdfManager{constructor(e){super(e);this.streamManager=new Chun\
+kedStreamManager(e.source,{msgHandler:e.handler,length:e.length,disableAutoFetch:e.disableAutoFetch,rangeChunkSize:e.rangeChunkSize});this.pdfDocument=new PDFDocument(this,this.streamManager.getStream())}async ensure(e,t,a){try{const r=e[t];return"function"==typeof r?r.apply(e,a):r}catch(r){if(!(r instanceof MissingDataException))throw r;await this.requestRange(r.begin,r.end);return this.ensure(e,t,a)}}requestRange(e,t){return this.streamManager.requestRange(e,t)}requestLoadedStream(e=!1){return\
+ this.streamManager.requestAllChunks(e)}sendProgressiveData(e){this.streamManager.onReceiveData({chunk:e})}terminate(e){this.streamManager.abort(e)}}const Ac=1,kc=2,Cc=1,vc=2,Fc=3,Ic=4,Tc=5,Oc=6,Mc=7,Dc=8;function onFn(){}function wrapReason(e){if(e instanceof AbortException||e instanceof InvalidPDFException||e instanceof PasswordException||e instanceof ResponseException||e instanceof UnknownErrorException)return e;e instanceof Error||"object"==typeof e&&null!==e||unreachable(\'wrapReason: Expect\
+ed "reason" to be a (possibly cloned) Error.\');switch(e.name){case"AbortException":return new AbortException(e.message);case"InvalidPDFException":return new InvalidPDFException(e.message);case"PasswordException":return new PasswordException(e.message,e.code);case"ResponseException":return new ResponseException(e.message,e.status,e.missing);case"UnknownErrorException":return new UnknownErrorException(e.message,e.details)}return new UnknownErrorException(e.message,e.toString())}class MessageHandle\
+r{#Je=new AbortController;constructor(e,t,a){this.sourceName=e;this.targetName=t;this.comObj=a;this.callbackId=1;this.streamId=1;this.streamSinks=Object.create(null);this.streamControllers=Object.create(null);this.callbackCapabilities=Object.create(null);this.actionHandler=Object.create(null);a.addEventListener("message",this.#Ye.bind(this),{signal:this.#Je.signal})}#Ye({data:e}){if(e.targetName!==this.sourceName)return;if(e.stream){this.#Ze(e);return}if(e.callback){const t=e.callbackId,a=this.c\
+allbackCapabilities[t];if(!a)throw new Error(`Cannot resolve callback ${t}`);delete this.callbackCapabilities[t];if(e.callback===Ac)a.resolve(e.data);else{if(e.callback!==kc)throw new Error("Unexpected callback case");a.reject(wrapReason(e.reason))}return}const t=this.actionHandler[e.action];if(!t)throw new Error(`Unknown action from worker: ${e.action}`);if(e.callbackId){const a=this.sourceName,r=e.sourceName,i=this.comObj;Promise.try(t,e.data).then((function(t){i.postMessage({sourceName:a,targ\
+etName:r,callback:Ac,callbackId:e.callbackId,data:t})}),(function(t){i.postMessage({sourceName:a,targetName:r,callback:kc,callbackId:e.callbackId,reason:wrapReason(t)})}))}else e.streamId?this.#Qe(e):t(e.data)}on(e,t){const a=this.actionHandler;if(a[e])throw new Error(`There is already an actionName called "${e}"`);a[e]=t}send(e,t,a){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,data:t},a)}sendWithPromise(e,t,a){const r=this.callbackId++,i=Promise.withRe\
+solvers();this.callbackCapabilities[r]=i;try{this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,callbackId:r,data:t},a)}catch(e){i.reject(e)}return i.promise}sendWithStream(e,t,a,r){const i=this.streamId++,n=this.sourceName,s=this.targetName,o=this.comObj;return new ReadableStream({start:a=>{const c=Promise.withResolvers();this.streamControllers[i]={controller:a,startCall:c,pullCall:null,cancelCall:null,isClosed:!1};o.postMessage({sourceName:n,targetName:s,ac\
+tion:e,streamId:i,data:t,desiredSize:a.desiredSize},r);return c.promise},pull:e=>{const t=Promise.withResolvers();this.streamControllers[i].pullCall=t;o.postMessage({sourceName:n,targetName:s,stream:Oc,streamId:i,desiredSize:e.desiredSize});return t.promise},cancel:e=>{assert(e instanceof Error,"cancel must have a valid reason");const t=Promise.withResolvers();this.streamControllers[i].cancelCall=t;this.streamControllers[i].isClosed=!0;o.postMessage({sourceName:n,targetName:s,stream:Cc,streamId:\
+i,reason:wrapReason(e)});return t.promise}},a)}#Qe(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this,s=this.actionHandler[e.action],o={enqueue(e,n=1,s){if(this.isCancelled)return;const o=this.desiredSize;this.desiredSize-=n;if(o>0&&this.desiredSize<=0){this.sinkCapability=Promise.withResolvers();this.ready=this.sinkCapability.promise}i.postMessage({sourceName:a,targetName:r,stream:Ic,streamId:t,chunk:e},s)},close(){if(!this.isCancelled){this.isCancelled=!0;i.postMessage\
+({sourceName:a,targetName:r,stream:Fc,streamId:t});delete n.streamSinks[t]}},error(e){assert(e instanceof Error,"error must have a valid reason");if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Tc,streamId:t,reason:wrapReason(e)})}},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:e.desiredSize,ready:null};o.sinkCapability.resolve();o.ready=o.sinkCapability.promise;this.streamSinks[t]=o;Promise.try(s,e.data,o).t\
+hen((function(){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,reason:wrapReason(e)})}))}#Ze(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this.streamControllers[t],s=this.streamSinks[t];switch(e.stream){case Dc:e.success?n.startCall.resolve():n.startCall.reject(wrapReason(e.reason));break;case Mc:e.success?n.pullCall.resolve():n.pullCall.reject(wrapReason(e.reason));\
+break;case Oc:if(!s){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0});break}s.desiredSize<=0&&e.desiredSize>0&&s.sinkCapability.resolve();s.desiredSize=e.desiredSize;Promise.try(s.onPull||onFn).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,reason:wrapReason(e)})}));break;case Ic:assert(n,"enqueue should have stream controller");if(n.isClosed)break;n\
+.controller.enqueue(e.chunk);break;case Fc:assert(n,"close should have stream controller");if(n.isClosed)break;n.isClosed=!0;n.controller.close();this.#et(n,t);break;case Tc:assert(n,"error should have stream controller");n.controller.error(wrapReason(e.reason));this.#et(n,t);break;case vc:e.success?n.cancelCall.resolve():n.cancelCall.reject(wrapReason(e.reason));this.#et(n,t);break;case Cc:if(!s)break;const o=wrapReason(e.reason);Promise.try(s.onCancel||onFn,o).then((function(){i.postMessage({s\
+ourceName:a,targetName:r,stream:vc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,reason:wrapReason(e)})}));s.sinkCapability.reject(o);s.isCancelled=!0;delete this.streamSinks[t];break;default:throw new Error("Unexpected stream case")}}async#et(e,t){await Promise.allSettled([e.startCall?.promise,e.pullCall?.promise,e.cancelCall?.promise]);delete this.streamControllers[t]}destroy(){this.#Je?.abort();this.#Je=null}}async function writeObject(e,\
+t,a,{encrypt:r=null}){const i=r?.createCipherTransform(e.num,e.gen);a.push(`${e.num} ${e.gen} obj\\n`);t instanceof Dict?await writeDict(t,a,i):t instanceof BaseStream?await writeStream(t,a,i):(Array.isArray(t)||ArrayBuffer.isView(t))&&await writeArray(t,a,i);a.push("\\nendobj\\n")}async function writeDict(e,t,a){t.push("<<");for(const r of e.getKeys()){t.push(` /${escapePDFName(r)} `);await writeValue(e.getRaw(r),t,a)}t.push(">>")}async function writeStream(e,t,a){let r=e.getBytes();const{dict:i}=\
+e,[n,s]=await Promise.all([i.getAsync("Filter"),i.getAsync("DecodeParms")]),o=isName(Array.isArray(n)?await i.xref.fetchIfRefAsync(n[0]):n,"FlateDecode");if(r.length>=256||o)try{const e=new CompressionStream("deflate"),t=e.writable.getWriter();await t.ready;t.write(r).then((async()=>{await t.ready;await t.close()})).catch((()=>{}));const a=await new Response(e.readable).arrayBuffer();r=new Uint8Array(a);let c,l;if(n){if(!o){c=Array.isArray(n)?[Name.get("FlateDecode"),...n]:[Name.get("FlateDecode\
+"),n];s&&(l=Array.isArray(s)?[null,...s]:[null,s])}}else c=Name.get("FlateDecode");c&&i.set("Filter",c);l&&i.set("DecodeParms",l)}catch(e){info(`writeStream - cannot compress data: "${e}".`)}let c=bytesToString(r);a&&(c=a.encryptString(c));i.set("Length",c.length);await writeDict(i,t,a);t.push(" stream\\n",c,"\\nendstream")}async function writeArray(e,t,a){t.push("[");let r=!0;for(const i of e){r?r=!1:t.push(" ");await writeValue(i,t,a)}t.push("]")}async function writeValue(e,t,a){if(e instanceof \
+Name)t.push(`/${escapePDFName(e.name)}`);else if(e instanceof Ref)t.push(`${e.num} ${e.gen} R`);else if(Array.isArray(e)||ArrayBuffer.isView(e))await writeArray(e,t,a);else if("string"==typeof e){a&&(e=a.encryptString(e));t.push(`(${escapeString(e)})`)}else"number"==typeof e?t.push(numberToString(e)):"boolean"==typeof e?t.push(e.toString()):e instanceof Dict?await writeDict(e,t,a):e instanceof BaseStream?await writeStream(e,t,a):null===e?t.push("null"):warn(`Unhandled value in writer: ${typeof e\
+}, please file a bug.`)}function writeInt(e,t,a,r){for(let i=t+a-1;i>a-1;i--){r[i]=255&e;e>>=8}return a+t}function writeString(e,t,a){const r=e.length;for(let i=0;i<r;i++)a[t+i]=255&e.charCodeAt(i);return t+r}function updateXFA({xfaData:e,xfaDatasetsRef:t,changes:a,xref:r}){if(null===e){e=function writeXFADataForAcroform(e,t){const a=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e);for(const{xfa:e}of t){if(!e)continue;const{path:t,value:r}=e;if(!t)continue;const i=parseXFAPath(t);let n\
+=a.documentElement.searchNode(i,0);!n&&i.length>1&&(n=a.documentElement.searchNode([i.at(-1)],0));n?n.childNodes=Array.isArray(r)?r.map((e=>new SimpleDOMNode("value",e))):[new SimpleDOMNode("#text",r)]:warn(`Node not found for path: ${t}`)}const r=[];a.documentElement.dump(r);return r.join("")}(r.fetchIfRef(t).getString(),a)}const i=new StringStream(e);i.dict=new Dict(r);i.dict.setIfName("Type","EmbeddedFile");a.put(t,{data:i})}function getIndexes(e){const t=[];for(const{ref:a}of e)a.num===t.at(\
+-2)+t.at(-1)?t[t.length-1]+=1:t.push(a.num,1);return t}function computeIDs(e,t,a){if(Array.isArray(t.fileIds)&&t.fileIds.length>0){const r=function computeMD5(e,t){const a=Math.floor(Date.now()/1e3),r=t.filename||"",i=[a.toString(),r,e.toString(),...t.infoMap.values()],n=Math.sumPrecise(i.map((e=>e.length))),s=new Uint8Array(n);let o=0;for(const e of i)o=writeString(e,o,s);return bytesToString(calculateMD5(s,0,s.length))}(e,t);a.set("ID",[t.fileIds[0],r])}}async function incrementalUpdate({origi\
+nalData:e,xrefInfo:t,changes:a,xref:r=null,hasXfa:i=!1,xfaDatasetsRef:n=null,hasXfaDatasetsEntry:s=!1,needAppearances:o,acroFormRef:c=null,acroForm:l=null,xfaData:h=null,useXrefStream:u=!1}){await async function updateAcroform({xref:e,acroForm:t,acroFormRef:a,hasXfa:r,hasXfaDatasetsEntry:i,xfaDatasetsRef:n,needAppearances:s,changes:o}){!r||i||n||warn("XFA - Cannot save it");if(!s&&(!r||!n||i))return;const c=t.clone();if(r&&!i){const e=t.get("XFA").slice();e.splice(2,0,"datasets");e.splice(3,0,n)\
+;c.set("XFA",e)}s&&c.set("NeedAppearances",!0);o.put(a,{data:c})}({xref:r,acroForm:l,acroFormRef:c,hasXfa:i,hasXfaDatasetsEntry:s,xfaDatasetsRef:n,needAppearances:o,changes:a});i&&updateXFA({xfaData:h,xfaDatasetsRef:n,changes:a,xref:r});const d=function getTrailerDict(e,t,a){const r=new Dict(null);r.set("Prev",e.startXRef);const i=e.newRef;if(a){t.put(i,{data:""});r.set("Size",i.num+1);r.setIfName("Type","XRef")}else r.set("Size",i.num);null!==e.rootRef&&r.set("Root",e.rootRef);null!==e.infoRef&\
+&r.set("Info",e.infoRef);null!==e.encryptRef&&r.set("Encrypt",e.encryptRef);return r}(t,a,u),f=[],g=await async function writeChanges(e,t,a=[]){const r=[];for(const[i,{data:n}]of e.items())if(null!==n&&"string"!=typeof n){await writeObject(i,n,a,t);r.push({ref:i,data:a.join("")});a.length=0}else r.push({ref:i,data:n});return r.sort(((e,t)=>e.ref.num-t.ref.num))}(a,r,f);let p=e.length;const m=e.at(-1);if(10!==m&&13!==m){f.push("\\n");p+=1}for(const{data:e}of g)null!==e&&f.push(e);await(u?async fun\
+ction getXRefStreamTable(e,t,a,r,i){const n=[];let s=0,o=0;for(const{ref:e,data:r}of a){let a;s=Math.max(s,t);if(null!==r){a=Math.min(e.gen,65535);n.push([1,t,a]);t+=r.length}else{a=Math.min(e.gen+1,65535);n.push([0,0,a])}o=Math.max(o,a)}r.set("Index",getIndexes(a));const c=[1,getSizeInBytes(s),getSizeInBytes(o)];r.set("W",c);computeIDs(t,e,r);const l=Math.sumPrecise(c),h=new Uint8Array(l*n.length),u=new Stream(h);u.dict=r;let d=0;for(const[e,t,a]of n){d=writeInt(e,c[0],d,h);d=writeInt(t,c[1],d,\
+h);d=writeInt(a,c[2],d,h)}await writeObject(e.newRef,u,i,{});i.push("startxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f):async function getXRefTable(e,t,a,r,i){i.push("xref\\n");const n=getIndexes(a);let s=0;for(const{ref:e,data:r}of a){if(e.num===n[s]){i.push(`${n[s]} ${n[s+1]}\\n`);s+=2}if(null!==r){i.push(`${t.toString().padStart(10,"0")} ${Math.min(e.gen,65535).toString().padStart(5,"0")} n\\r\\n`);t+=r.length}else i.push(`0000000000 ${Math.min(e.gen+1,65535).toString().padStart(5,"0")} f\\r\\n`)}c\
+omputeIDs(t,e,r);i.push("trailer\\n");await writeDict(r,i);i.push("\\nstartxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f));const b=e.length+Math.sumPrecise(f.map((e=>e.length))),y=new Uint8Array(b);y.set(e);let w=e.length;for(const e of f)w=writeString(e,w,y);return y}class PDFWorkerStream{constructor(e){this._msgHandler=e;this._contentLength=null;this._fullRequestReader=null;this._rangeRequestReaders=[]}getFullReader(){assert(!this._fullRequestReader,"PDFWorkerStream.getFullReader can only be call\
+ed once.");this._fullRequestReader=new PDFWorkerStreamReader(this._msgHandler);return this._fullRequestReader}getRangeReader(e,t){const a=new PDFWorkerStreamRangeReader(e,t,this._msgHandler);this._rangeRequestReaders.push(a);return a}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class PDFWorkerStreamReader{constructor(e){this._msgHandler=e;this.onProgress=null;this._contentLength=null;this._isRangeSupported=!1;this._isStrea\
+mingSupported=!1;const t=this._msgHandler.sendWithStream("GetReader");this._reader=t.getReader();this._headersReady=this._msgHandler.sendWithPromise("ReaderHeadersReady").then((e=>{this._isStreamingSupported=e.isStreamingSupported;this._isRangeSupported=e.isRangeSupported;this._contentLength=e.contentLength}))}get headersReady(){return this._headersReady}get contentLength(){return this._contentLength}get isStreamingSupported(){return this._isStreamingSupported}get isRangeSupported(){return this.\
+_isRangeSupported}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class PDFWorkerStreamRangeReader{constructor(e,t,a){this._msgHandler=a;this.onProgress=null;const r=this._msgHandler.sendWithStream("GetRangeReader",{begin:e,end:t});this._reader=r.getReader()}get isStreamingSupported(){return!1}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e\
+.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class WorkerTask{constructor(e){this.name=e;this.terminated=!1;this._capability=Promise.withResolvers()}get finished(){return this._capability.promise}finish(){this._capability.resolve()}terminate(){this.terminated=!0}ensureNotTerminated(){if(this.terminated)throw new Error("Worker task was terminated")}}class WorkerMessageHandler{static{"undefined"==typeof window&&!e&&"undefined"!=typeof self&&"function"==typeof self.postMessage&&"onmessage"in \
+self&&this.initializeFromPort(self)}static setup(e,t){let a=!1;e.on("test",(t=>{if(!a){a=!0;e.send("test",t instanceof Uint8Array)}}));e.on("configure",(e=>{!function setVerbosityLevel(e){Number.isInteger(e)&&(da=e)}(e.verbosity)}));e.on("GetDocRequest",(e=>this.createDocumentHandler(e,t)))}static createDocumentHandler(e,t){let a,r=!1,i=null;const n=new Set,s=getVerbosityLevel(),{docId:o,apiVersion:c}=e,l="5.4.54";if(c!==l)throw new Error(`The API version "${c}" does not match the Worker version\
+ "${l}".`);const buildMsg=(e,t)=>`The \\`${e}.prototype\\` contains unexpected enumerable property "${t}", thus breaking e.g. \\`for...in\\` iteration of ${e}s.`;for(const e in{})throw new Error(buildMsg("Object",e));for(const e in[])throw new Error(buildMsg("Array",e));const h=o+"_worker";let u=new MessageHandler(h,o,t);function ensureNotTerminated(){if(r)throw new Error("Worker was terminated")}function startWorkerTask(e){n.add(e)}function finishWorkerTask(e){e.finish();n.delete(e)}async function \
+loadDocument(e){await a.ensureDoc("checkHeader");await a.ensureDoc("parseStartXRef");await a.ensureDoc("parse",[e]);await a.ensureDoc("checkFirstPage",[e]);await a.ensureDoc("checkLastPage",[e]);const t=await a.ensureDoc("isPureXfa");if(t){const e=new WorkerTask("loadXfaResources");startWorkerTask(e);await a.ensureDoc("loadXfaResources",[u,e]);finishWorkerTask(e)}const[r,i]=await Promise.all([a.ensureDoc("numPages"),a.ensureDoc("fingerprints")]);return{numPages:r,fingerprints:i,htmlForXfa:t?awai\
+t a.ensureDoc("htmlForXfa"):null}}function setupDoc(e){function onSuccess(e){ensureNotTerminated();u.send("GetDoc",{pdfInfo:e})}function onFailure(e){ensureNotTerminated();if(e instanceof PasswordException){const t=new WorkerTask(`PasswordException: response ${e.code}`);startWorkerTask(t);u.sendWithPromise("PasswordRequest",e).then((function({password:e}){finishWorkerTask(t);a.updatePassword(e);pdfManagerReady()})).catch((function(){finishWorkerTask(t);u.send("DocException",e)}))}else u.send("Do\
+cException",wrapReason(e))}function pdfManagerReady(){ensureNotTerminated();loadDocument(!1).then(onSuccess,(function(e){ensureNotTerminated();e instanceof XRefParseException?a.requestLoadedStream().then((function(){ensureNotTerminated();loadDocument(!0).then(onSuccess,onFailure)})):onFailure(e)}))}ensureNotTerminated();(async function getPdfManager({data:e,password:t,disableAutoFetch:a,rangeChunkSize:r,length:n,docBaseUrl:s,enableXfa:c,evaluatorOptions:l}){const h={source:null,disableAutoFetch:\
+a,docBaseUrl:s,docId:o,enableXfa:c,evaluatorOptions:l,handler:u,length:n,password:t,rangeChunkSize:r};if(e){h.source=e;return new LocalPdfManager(h)}const d=new PDFWorkerStream(u),f=d.getFullReader(),g=Promise.withResolvers();let p,m=[],b=0;f.headersReady.then((function(){if(f.isRangeSupported){h.source=d;h.length=f.contentLength;h.disableAutoFetch||=f.isStreamingSupported;p=new NetworkPdfManager(h);for(const e of m)p.sendProgressiveData(e);m=[];g.resolve(p);i=null}})).catch((function(e){g.rejec\
+t(e);i=null}));new Promise((function(e,t){const readChunk=function({value:e,done:a}){try{ensureNotTerminated();if(a){if(!p){const e=arrayBuffersToBytes(m);m=[];n&&e.length!==n&&warn("reported HTTP length is different from actual");h.source=e;p=new LocalPdfManager(h);g.resolve(p)}i=null;return}b+=e.byteLength;f.isStreamingSupported||u.send("DocProgress",{loaded:b,total:Math.max(b,f.contentLength||0)});p?p.sendProgressiveData(e):m.push(e);f.read().then(readChunk,t)}catch(e){t(e)}};f.read().then(re\
+adChunk,t)})).catch((function(e){g.reject(e);i=null}));i=e=>{d.cancelAllRequests(e)};return g.promise})(e).then((function(e){if(r){e.terminate(new AbortException("Worker was terminated."));throw new Error("Worker was terminated")}a=e;a.requestLoadedStream(!0).then((e=>{u.send("DataLoaded",{length:e.bytes.byteLength})}))})).then(pdfManagerReady,onFailure)}u.on("GetPage",(function(e){return a.getPage(e.pageIndex).then((function(e){return Promise.all([a.ensure(e,"rotate"),a.ensure(e,"ref"),a.ensure\
+(e,"userUnit"),a.ensure(e,"view")]).then((function([e,t,a,r]){return{rotate:e,ref:t,refStr:t?.toString()??null,userUnit:a,view:r}}))}))}));u.on("GetPageIndex",(function(e){const t=Ref.get(e.num,e.gen);return a.ensureCatalog("getPageIndex",[t])}));u.on("GetDestinations",(function(e){return a.ensureCatalog("destinations")}));u.on("GetDestination",(function(e){return a.ensureCatalog("getDestination",[e.id])}));u.on("GetPageLabels",(function(e){return a.ensureCatalog("pageLabels")}));u.on("GetPageLa\
+yout",(function(e){return a.ensureCatalog("pageLayout")}));u.on("GetPageMode",(function(e){return a.ensureCatalog("pageMode")}));u.on("GetViewerPreferences",(function(e){return a.ensureCatalog("viewerPreferences")}));u.on("GetOpenAction",(function(e){return a.ensureCatalog("openAction")}));u.on("GetAttachments",(function(e){return a.ensureCatalog("attachments")}));u.on("GetDocJSActions",(function(e){return a.ensureCatalog("jsActions")}));u.on("GetPageJSActions",(function({pageIndex:e}){return a.\
+getPage(e).then((e=>a.ensure(e,"jsActions")))}));u.on("GetOutline",(function(e){return a.ensureCatalog("documentOutline")}));u.on("GetOptionalContentConfig",(function(e){return a.ensureCatalog("optionalContentConfig")}));u.on("GetPermissions",(function(e){return a.ensureCatalog("permissions")}));u.on("GetMetadata",(function(e){return Promise.all([a.ensureDoc("documentInfo"),a.ensureCatalog("metadata")])}));u.on("GetMarkInfo",(function(e){return a.ensureCatalog("markInfo")}));u.on("GetData",(func\
+tion(e){return a.requestLoadedStream().then((e=>e.bytes))}));u.on("GetAnnotations",(function({pageIndex:e,intent:t}){return a.getPage(e).then((function(a){const r=new WorkerTask(`GetAnnotations: page ${e}`);startWorkerTask(r);return a.getAnnotationsData(u,r,t).then((e=>{finishWorkerTask(r);return e}),(e=>{finishWorkerTask(r);throw e}))}))}));u.on("GetFieldObjects",(function(e){return a.ensureDoc("fieldObjects").then((e=>e?.allFields||null))}));u.on("HasJSActions",(function(e){return a.ensureDoc(\
+"hasJSActions")}));u.on("GetCalculationOrderIds",(function(e){return a.ensureDoc("calculationOrderIds")}));u.on("SaveDocument",(async function({isPureXfa:e,numPages:t,annotationStorage:r,filename:i}){const n=[a.requestLoadedStream(),a.ensureCatalog("acroForm"),a.ensureCatalog("acroFormRef"),a.ensureDoc("startXRef"),a.ensureDoc("xref"),a.ensureDoc("linearization"),a.ensureCatalog("structTreeRoot")],s=new RefSetCache,o=[],c=e?null:getNewAnnotationsMap(r),[l,h,d,f,g,p,m]=await Promise.all(n),b=g.tr\
+ailer.getRaw("Root")||null;let y;if(c){m?await m.canUpdateStructTree({pdfManager:a,newAnnotationsByPage:c})&&(y=m):await StructTreeRoot.canCreateStructureTree({catalogRef:b,pdfManager:a,newAnnotationsByPage:c})&&(y=null);const e=AnnotationFactory.generateImages(r.values(),g,a.evaluatorOptions.isOffscreenCanvasSupported),t=void 0===y?o:[];for(const[r,i]of c)t.push(a.getPage(r).then((t=>{const a=new WorkerTask(`Save (editor): page ${r}`);startWorkerTask(a);return t.saveNewAnnotations(u,a,i,e,s).fi\
+nally((function(){finishWorkerTask(a)}))})));null===y?o.push(Promise.all(t).then((async()=>{await StructTreeRoot.createStructureTree({newAnnotationsByPage:c,xref:g,catalogRef:b,pdfManager:a,changes:s})}))):y&&o.push(Promise.all(t).then((async()=>{await y.updateStructureTree({newAnnotationsByPage:c,pdfManager:a,changes:s})})))}if(e)o.push(a.ensureDoc("serializeXfaData",[r]));else for(let e=0;e<t;e++)o.push(a.getPage(e).then((function(t){const a=new WorkerTask(`Save: page ${e}`);startWorkerTask(a)\
+;return t.save(u,a,r,s).finally((function(){finishWorkerTask(a)}))})));const w=await Promise.all(o);let x=null;if(e){x=w[0];if(!x)return l.bytes}else if(0===s.size)return l.bytes;const S=d&&h instanceof Dict&&s.values().some((e=>e.needAppearances)),k=h instanceof Dict&&h.get("XFA")||null;let C=null,v=!1;if(Array.isArray(k)){for(let e=0,t=k.length;e<t;e+=2)if("datasets"===k[e]){C=k[e+1];v=!0}null===C&&(C=g.getNewTemporaryRef())}else k&&warn("Unsupported XFA type.");let F=Object.create(null);if(g.\
+trailer){const e=new Map,t=g.trailer.get("Info")||null;if(t instanceof Dict)for(const[a,r]of t)"string"==typeof r&&e.set(a,stringToPDFString(r));F={rootRef:b,encryptRef:g.trailer.getRaw("Encrypt")||null,newRef:g.getNewTemporaryRef(),infoRef:g.trailer.getRaw("Info")||null,infoMap:e,fileIds:g.trailer.get("ID")||null,startXRef:p?f:g.lastXRefStreamPos??f,filename:i}}return incrementalUpdate({originalData:l.bytes,xrefInfo:F,changes:s,xref:g,hasXfa:!!k,xfaDatasetsRef:C,hasXfaDatasetsEntry:v,needAppear\
+ances:S,acroFormRef:d,acroForm:h,xfaData:x,useXrefStream:isDict(g.topDict,"XRef")}).finally((()=>{g.resetNewTemporaryRef()}))}));u.on("GetOperatorList",(function(e,t){const r=e.pageIndex;a.getPage(r).then((function(a){const i=new WorkerTask(`GetOperatorList: page ${r}`);startWorkerTask(i);const n=s>=Ae?Date.now():0;a.getOperatorList({handler:u,sink:t,task:i,intent:e.intent,cacheKey:e.cacheKey,annotationStorage:e.annotationStorage,modifiedIds:e.modifiedIds}).then((function(e){finishWorkerTask(i);\
+n&&info(`page=${r+1} - getOperatorList: time=${Date.now()-n}ms, len=${e.length}`);t.close()}),(function(e){finishWorkerTask(i);i.terminated||t.error(e)}))}))}));u.on("GetTextContent",(function(e,t){const{pageIndex:r,includeMarkedContent:i,disableNormalization:n}=e;a.getPage(r).then((function(e){const a=new WorkerTask("GetTextContent: page "+r);startWorkerTask(a);const o=s>=Ae?Date.now():0;e.extractTextContent({handler:u,task:a,sink:t,includeMarkedContent:i,disableNormalization:n}).then((function\
+(){finishWorkerTask(a);o&&info(`page=${r+1} - getTextContent: time=`+(Date.now()-o)+"ms");t.close()}),(function(e){finishWorkerTask(a);a.terminated||t.error(e)}))}))}));u.on("GetStructTree",(function(e){return a.getPage(e.pageIndex).then((e=>a.ensure(e,"getStructTree")))}));u.on("FontFallback",(function(e){return a.fontFallback(e.id,u)}));u.on("Cleanup",(function(e){return a.cleanup(!0)}));u.on("Terminate",(function(e){r=!0;const t=[];if(a){a.terminate(new AbortException("Worker was terminated."\
+));const e=a.cleanup();t.push(e);a=null}else clearGlobalCaches();i?.(new AbortException("Worker was terminated."));for(const e of n){t.push(e.finished);e.terminate()}return Promise.all(t).then((function(){u.destroy();u=null}))}));u.on("Ready",(function(t){setupDoc(e);e=null}));return h}static initializeFromPort(e){const t=new MessageHandler("worker","main",e);this.setup(t,e);t.send("ready",null)}}globalThis.pdfjsWorker={WorkerMessageHandler};export{WorkerMessageHandler};',pdf_worker_min$1=Object.
+freeze(Object.defineProperty({__proto__:null,default:pdf_worker_min},Symbol.toStringTag,{value:"Module"}));export{app,start};
diff --git a/tools/server/public/index.html b/tools/server/public/index.html
new file mode 100644
index 0000000000000000000000000000000000000000..cb697560c740f50ae33d506eed3f9e5f02938a42
Binary files /dev/null and b/tools/server/public/index.html differ
diff --git a/tools/server/public/index.html.gz b/tools/server/public/index.html.gz
deleted file mode 100644
index a113b1233b9a1d6d151d4013def6714af279122d..0000000000000000000000000000000000000000
--- a/tools/server/public/index.html.gz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:136c5ca1b57d7e8521424ab29e0b012c6a63785de87a197a723d9d77d0875206
-size 1643256
diff --git a/tools/server/public_legacy/colorthemes.css b/tools/server/public_legacy/colorthemes.css
deleted file mode 100644
index b1e2b8b70c261a50f26c20e605a3a05a754295f1..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/colorthemes.css
+++ /dev/null
@@ -1,402 +0,0 @@
-@import url("theme-snowstorm.css");
-@import url("theme-polarnight.css");
-@import url("theme-ketivah.css");
-@import url("theme-mangotango.css");
-@import url("theme-playground.css");
-@import url("theme-beeninorder.css");
-
-:root {
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(217.5, 26.7%, 94.1%);
-    --primary-color-1-hue:             217.5;
-    --primary-color-1-saturation:      26.7%;
-    --primary-color-1-lightness:       94.1%;
-
---primary-color-2: hsl(218.2, 26.8%, 92.0%);
-    --primary-color-2-hue:             218.2;
-    --primary-color-2-saturation:      26.8%;
-    --primary-color-2-lightness:       92.0%;
-
---primary-color-3: hsl(218.8, 27.9%, 88.0%);
-    --primary-color-3-hue:             218.8;
-    --primary-color-3-saturation:      27.9%;
-    --primary-color-3-lightness:       88.0%;
-
---primary-color-4: hsl(218.8, 18.3%, 81.8%);
-    --primary-color-4-hue:             218.8;
-    --primary-color-4-saturation:      18.3%;
-    --primary-color-4-lightness:       81.8%;
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(220.0, 16.4%, 21.6%);
-    --secondary-color-1-hue:             220.0;
-    --secondary-color-1-saturation:      16.4%;
-    --secondary-color-1-lightness:       21.6%;
-
---secondary-color-2: hsl(221.7, 16.3%, 27.6%);
-    --secondary-color-2-hue:             221.7;
-    --secondary-color-2-saturation:      16.3%;
-    --secondary-color-2-lightness:       27.6%;
-
---secondary-color-3: hsl(220.0, 16.8%, 31.6%);
-    --secondary-color-3-hue:             220.0;
-    --secondary-color-3-saturation:      16.8%;
-    --secondary-color-3-lightness:       31.6%;
-
---secondary-color-4: hsl(220.0, 16.5%, 35.7%);
-    --secondary-color-4-hue:             220.0;
-    --secondary-color-4-saturation:      16.5%;
-    --secondary-color-4-lightness:       35.7%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
-    --theme-nuance-color-1-hue:             178.7;
-    --theme-nuance-color-1-saturation:      25.1%;
-    --theme-nuance-color-1-lightness:       64.9%;
-
---theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
-    --theme-nuance-color-2-hue:             193.3;
-    --theme-nuance-color-2-saturation:      43.4%;
-    --theme-nuance-color-2-lightness:       67.5%;
-
---theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
-    --theme-nuance-color-3-hue:             210.0;
-    --theme-nuance-color-3-saturation:      34.0%;
-    --theme-nuance-color-3-lightness:       63.1%;
-
---theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
-    --theme-nuance-color-4-hue:             213.1;
-    --theme-nuance-color-4-saturation:      32.0%;
-    --theme-nuance-color-4-lightness:       52.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:    hsl(32.5, 80%, 50%);
---theme-orange-color: hsl(32.5, 70%, 45%);
---theme-yellow-color: hsl(40.0,   0.6%, 73.3%);
---theme-green-color:  hsl(92.4,  27.8%, 64.7%);
---theme-purple-color: hsl(311.1, 20.2%, 63.1%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--primary-color-1);
---button-alert-color-hover:      var(--theme-orange-color);
---button-alert-border-hover:     var(--theme-orange-color);
-
---button-alert-text-active:      var(--primary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--secondary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(217.5,
-    calc(var(--secondary-color-1-saturation) + 35%),
-    calc(var(--secondary-color-1-lightness)  - 30%));
-
---button-primary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 35%));
-
---button-primary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
---button-primary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
---button-secondary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
---button-secondary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) + 40%),
-    calc(var(--theme-nuance-color-3-lightness)  - 55%));
-
---button-secondary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-secondary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-/* ---------hover---------- */
---button-tertiary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-}
-
-/*
-
-.theme-template {
-
-
-    If light theme: should go from bright to darker
-    If dark theme: should go from dark to brighter
-    ideally this should not be anything but steps of
-    gray or slightly variants from it
-
-    --primary-color-1: #2E3440;
-    --primary-color-2: #3B4252;
-    --primary-color-3: #434C5E;
-    --primary-color-4: #4C566A;
-
-
-
-    If light theme: should go from dark to brighter
-    If dark theme: should go from bright to darker
-    ideally this should not be anything but steps of
-    gray or slightly variants from it
-
-    --secondary-color-1: #ECEFF4;
-    --secondary-color-2: #E5E9F0;
-    --secondary-color-3: #D8DEE9;
-    --secondary-color-4: #C8CED9;
-
-
-
-    Choose wisely nuance colors. It is not easy to find
-    4 harmonizing nuance colors. But keep in mind, that
-    only one accent color could work too.
-
-    --theme-nuance-color-1: #8FBCBB;
-    --theme-nuance-color-2: #88C0D0;
-    --theme-nuance-color-3: #81A1C1;
-    --theme-nuance-color-4: #5E81AC;
-
-
-
-    adapt the color red, orange, yellow, green,
-    purple to the 'mood' of your overall design
-    e.g is it low-contrast? vibrant? dynamic? etc
-
-    --theme-red-color:    #BF616A;
-    --theme-orange-color: #D08770;
-    --theme-yellow-color: #EBCB8B;
-    --theme-green-color:  #A3BE8C;
-    --theme-purple-color: #B48EAD;
-
-
-
-NOTE: comment all those line `--- ...` out
-------------------------------------------------
---background-color-1:
---background-color-2:
---background-color-3:
---background-color-4:
-
---border-color-1:
---border-color-2:
---border-color-3:
-
---border-focus-color:
---border-focus-shadow:
-
---text-color-plain:
---text-color-subtile-1:
---text-color-subtile-2:
-
---code-background-color:
---code-text-color:
-
---ui-range-thumb-color:
---ui-range-thumb-border:
-
---textarea-border-color:
-
-
-
--------------------------------------------
---button-alert-text-hover:
---button-alert-color-hover:
---button-alert-border-hover:
-
---button-alert-text-active:
---button-alert-color-active:
---button-alert-border-active:
-
-
-
------------ PRIMARY -----------------------
---button should immediately catch the eye--
-
---button-primary-text:
---button-primary-color:
---button-primary-border:
-
-
----------hover----------
---button-primary-text-hover:
---button-primary-color-hover:
---button-primary-border-hover:
-
-
----------active---------
---button-primary-text-active:
---button-primary-color-active:
---button-primary-border-active:
-
-
-
------------- SECONDARY ------------------------
---button should NOT immediately catch the eye--
-
---button-secondary-text:
---button-secondary-color:
---button-secondary-border:
-
-
----------hover----------
---button-secondary-text-hover:
---button-secondary-color-hover:
---button-secondary-border-hover:
-
-
----------active---------
---button-secondary-text-active:
---button-secondary-color-active:
---button-secondary-border-active:
-
-
-
----------- TERTIARY -----------------------
----------- disabled buttons ---------------
---button-tertiary-text:
---button-tertiary-color:
---button-tertiary-border:
-
-
----------hover----------
---button-tertiary-text:
---button-tertiary-color:
---button-tertiary-border:
-
-}
-
-*/
diff --git a/tools/server/public_legacy/completion.js b/tools/server/public_legacy/completion.js
deleted file mode 100644
index 30df7c2fa73c892e198f591d84484939508f0ee1..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/completion.js
+++ /dev/null
@@ -1,209 +0,0 @@
-const paramDefaults = {
-  stream: true,
-  n_predict: 500,
-  temperature: 0.2,
-  stop: ["</s>"]
-};
-
-let generation_settings = null;
-
-
-// Completes the prompt as a generator. Recommended for most use cases.
-//
-// Example:
-//
-//    import { llama } from '/completion.js'
-//
-//    const request = llama("Tell me a joke", {n_predict: 800})
-//    for await (const chunk of request) {
-//      document.write(chunk.data.content)
-//    }
-//
-export async function* llama(prompt, params = {}, config = {}) {
-  let controller = config.controller;
-  const api_url = config.api_url?.replace(/\/+$/, '') || "";
-
-  if (!controller) {
-    controller = new AbortController();
-  }
-
-  const completionParams = { ...paramDefaults, ...params, prompt };
-
-  const response = await fetch(`${api_url}${config.endpoint || '/completion'}`, {
-    method: 'POST',
-    body: JSON.stringify(completionParams),
-    headers: {
-      'Connection': 'keep-alive',
-      'Content-Type': 'application/json',
-      'Accept': 'text/event-stream',
-      ...(params.api_key ? {'Authorization': `Bearer ${params.api_key}`} : {})
-    },
-    signal: controller.signal,
-  });
-
-  const reader = response.body.getReader();
-  const decoder = new TextDecoder();
-
-  let content = "";
-  let leftover = ""; // Buffer for partially read lines
-
-  try {
-    let cont = true;
-
-    while (cont) {
-      const result = await reader.read();
-      if (result.done) {
-        break;
-      }
-
-      // Add any leftover data to the current chunk of data
-      const text = leftover + decoder.decode(result.value);
-
-      // Check if the last character is a line break
-      const endsWithLineBreak = text.endsWith('\n');
-
-      // Split the text into lines
-      let lines = text.split('\n');
-
-      // If the text doesn't end with a line break, then the last line is incomplete
-      // Store it in leftover to be added to the next chunk of data
-      if (!endsWithLineBreak) {
-        leftover = lines.pop();
-      } else {
-        leftover = ""; // Reset leftover if we have a line break at the end
-      }
-
-      // Parse all sse events and add them to result
-      const regex = /^(\S+):\s(.*)$/gm;
-      for (const line of lines) {
-        const match = regex.exec(line);
-        if (match) {
-          result[match[1]] = match[2];
-          if (result.data === '[DONE]') {
-            cont = false;
-            break;
-          }
-
-          // since we know this is llama.cpp, let's just decode the json in data
-          if (result.data) {
-            result.data = JSON.parse(result.data);
-            content += result.data.content;
-
-            // yield
-            yield result;
-
-            // if we got a stop token from server, we will break here
-            if (result.data.stop) {
-              if (result.data.generation_settings) {
-                generation_settings = result.data.generation_settings;
-              }
-              cont = false;
-              break;
-            }
-          }
-          if (result.error) {
-            try {
-              result.error = JSON.parse(result.error);
-              if (result.error.message.includes('slot unavailable')) {
-                // Throw an error to be caught by upstream callers
-                throw new Error('slot unavailable');
-              } else {
-                console.error(`llama.cpp error [${result.error.code} - ${result.error.type}]: ${result.error.message}`);
-              }
-            } catch(e) {
-              console.error(`llama.cpp error ${result.error}`)
-            }
-          }
-        }
-      }
-    }
-  } catch (e) {
-    if (e.name !== 'AbortError') {
-      console.error("llama error: ", e);
-    }
-    throw e;
-  }
-  finally {
-    controller.abort();
-  }
-
-  return content;
-}
-
-// Call llama, return an event target that you can subscribe to
-//
-// Example:
-//
-//    import { llamaEventTarget } from '/completion.js'
-//
-//    const conn = llamaEventTarget(prompt)
-//    conn.addEventListener("message", (chunk) => {
-//      document.write(chunk.detail.content)
-//    })
-//
-export const llamaEventTarget = (prompt, params = {}, config = {}) => {
-  const eventTarget = new EventTarget();
-  (async () => {
-    let content = "";
-    for await (const chunk of llama(prompt, params, config)) {
-      if (chunk.data) {
-        content += chunk.data.content;
-        eventTarget.dispatchEvent(new CustomEvent("message", { detail: chunk.data }));
-      }
-      if (chunk.data.generation_settings) {
-        eventTarget.dispatchEvent(new CustomEvent("generation_settings", { detail: chunk.data.generation_settings }));
-      }
-      if (chunk.data.timings) {
-        eventTarget.dispatchEvent(new CustomEvent("timings", { detail: chunk.data.timings }));
-      }
-    }
-    eventTarget.dispatchEvent(new CustomEvent("done", { detail: { content } }));
-  })();
-  return eventTarget;
-}
-
-// Call llama, return a promise that resolves to the completed text. This does not support streaming
-//
-// Example:
-//
-//     llamaPromise(prompt).then((content) => {
-//       document.write(content)
-//     })
-//
-//     or
-//
-//     const content = await llamaPromise(prompt)
-//     document.write(content)
-//
-export const llamaPromise = (prompt, params = {}, config = {}) => {
-  return new Promise(async (resolve, reject) => {
-    let content = "";
-    try {
-      for await (const chunk of llama(prompt, params, config)) {
-        content += chunk.data.content;
-      }
-      resolve(content);
-    } catch (error) {
-      reject(error);
-    }
-  });
-};
-
-/**
- * (deprecated)
- */
-export const llamaComplete = async (params, controller, callback) => {
-  for await (const chunk of llama(params.prompt, params, { controller })) {
-    callback(chunk);
-  }
-}
-
-// Get the model info from the server. This is useful for getting the context window and so on.
-export const llamaModelInfo = async (config = {}) => {
-  if (!generation_settings) {
-    const api_url = config.api_url?.replace(/\/+$/, '') || "";
-    const props = await fetch(`${api_url}/props`).then(r => r.json());
-    generation_settings = props.default_generation_settings;
-  }
-  return generation_settings;
-}
diff --git a/tools/server/public_legacy/favicon.ico b/tools/server/public_legacy/favicon.ico
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index 89e154a0a7525ecd19379e8e200e36851c325d31..0000000000000000000000000000000000000000
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diff --git a/tools/server/public_legacy/index-new.html b/tools/server/public_legacy/index-new.html
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@@ -1,1190 +0,0 @@
-<!DOCTYPE html>
-
-<html>
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <link rel="icon" type="image/x-icon" href="favicon.ico">
-  <link rel="stylesheet" href="style.css">
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-    import { promptFormats } from './prompt-formats.js';
-    import { systemPrompts } from './system-prompts.js'; // multilingual is wip
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "",
-      template: "{{prompt}}\n{{history}}{{char}}",
-      historyTemplate: "{{name}}: {{message}}\n",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "ASSISTANT",
-      user: "USER",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 358, // 358 is a nice number
-      temperature: 0.8, // adapt all following parameters to optimized min-p requirements. If for non-english, set to 0.6 or lower
-      repeat_last_n: 0, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.0, // 1.0 = disabled
-      dry_multiplier: 0.0, // 0.0 = disabled, 0.8 works well
-      dry_base: 1.75,     // 0.0 = disabled
-      dry_allowed_length: 2, // tokens extending repetitions beyond this receive penalty, 2 works well
-      dry_penalty_last_n: -1, // how many tokens to scan for repetitions (0 = disable penalty, -1 = context size)
-      top_k: 0, // <= 0 to use vocab size
-      top_p: 1.0, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled; recommended for non-english: ~ 0.4
-      xtc_probability: 0.0, // 0 = disabled;
-      xtc_threshold: 0.1, // > 0.5 disables XTC;
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-
-
-    /* START: Support for storing prompt templates and parameters in browser's LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Reseting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browser's LocalStorage */
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: new URL('.', document.baseURI).href })) {
-        const data = chunk.data;
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-        if (data.timings) {
-          // llamaStats.value = data.timings;
-          llamaStats.value = data;
-        }
-      }
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-    // just in case (e.g. llama2)
-    const suffix = session.value.userMsgSuffix || "";
-    const prefix = session.value.userMsgPrefix || "";
-    const userMsg = prefix + msg + suffix;
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", userMsg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join(''),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", "<|end|>", "<|eot_id|>", "<|end_of_text|>", "<|im_end|>", "<|EOT|>", "<|END_OF_TURN_TOKEN|>", "<|end_of_turn|>", "<|endoftext|>", template("{{char}}"), template("{{user}}")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    function MessageInput() {
-      const message = useSignal("")
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-      <form onsubmit=${submit}>
-        <div class="chat-input-container">
-          <textarea
-            id="chat-input" placeholder="Say Something ... (Shift + Enter for new line)"
-            class="${generating.value ? 'loading' : null}"
-            oninput=${(e) => message.value = e.target.value}
-            onkeypress=${enterSubmits}
-            rows="2"
-            type="text"
-            value="${message}"
-          ></textarea>
-        </div>
-
-          <div class="right">
-            <button class="button-back" onclick=${reset}>Back</button>
-            <button onclick=${uploadImage}>Upload Image</button>
-            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-            <button type="submit" disabled=${generating.value}>Submit</button>
-          </div>
-        </form>
-      `
-    }
-
-    // the completion view needs some ux improvements
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div class="right">
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Back</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const isCompletionMode = session.value.type === 'completion'
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data)
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          const text = isArrayMessage ?
-            data.map(msg => msg.content).join('') :
-            data;
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-        if (user) {
-          return html`<p key=${index}><strong class="chat-id-color">${template(user)}</strong> ${message}</p>`
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<p key=${index}>${message}</p>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-
-
-///////////// UI Improvements /////////////
-//
-//
-const handleToggleChange = (e) => {
-  const isChecked = e.target.checked;
-  session.value = { ...session.value, type: isChecked ? 'completion' : 'chat' };
-  localStorage.setItem('toggleState', isChecked);
-}
-//
-const loadToggleState = () => {
-  const storedState = localStorage.getItem('toggleState');
-  if (storedState !== null) {
-    const isChecked = storedState === 'true';
-    document.getElementById('toggle').checked = isChecked;
-    session.value = { ...session.value, type: isChecked ? 'completion' : 'chat' };
-  }
-}
-//
-document.addEventListener('DOMContentLoaded', loadToggleState);
-//
-//
-// function to update the prompt format
-function updatePromptFormat(e) {
-  const promptFormat = e.target.value;
-  if (promptFormats.hasOwnProperty(promptFormat)) {
-    session.value = {
-      ...session.value,
-      ...promptFormats[promptFormat]
-    };
-  } else {
-    // Use vicuna as llama.cpp's default setting, since it's most common
-    session.value = {
-      ...session.value,
-      template: "{{prompt}}\n{{history}}{{char}}",
-      historyTemplate: "{{name}}: {{message}}\n",
-      char: "ASSISTANT",
-      user: "USER"
-    };
-  }
-  console.log('Updated session value:', session.value);
-}
-//
-//
-// function to update the prompt format from the selected one
-function updatePromptFormatFromDropdown(element) {
-  const promptFormat = element.getAttribute('data-value');
-  console.log('Selected prompt format:', promptFormat); // debugging
-  updatePromptFormat({ target: { value: promptFormat } });
-}
-//
-//
-// function that adds the event listers as soon as the element is available
-function addEventListenersWhenAvailable() {
-  var themeSelector = document.getElementById('theme-selector');
-  if (themeSelector) {
-    themeSelector.addEventListener('change', function(event) {
-      // event-handler-code...
-    });
-    // placeholder event listeners
-  } else {
-    // if the element is not there yet, wait ahead
-    requestAnimationFrame(addEventListenersWhenAvailable);
-  }
-}
-//
-//
-// begin with the check
-requestAnimationFrame(addEventListenersWhenAvailable);
-//
-//
-// avoid default and create new event object with value from data value attribute
-function handleDropdownSelection(e, promptFormat) {
-  e.preventDefault();
-  const customEvent = {
-    target: {
-      value: promptFormat
-    }
-  };
-  // call our updatePromptFormat-function
-  updatePromptFormat(customEvent);
-}
-//
-//
-// function to update the system message
-function updateSystemPrompt(e) {
-  const SystemPrompt = e.target.value;
-  if (systemPrompts.hasOwnProperty(SystemPrompt)) {
-    session.value = {
-      ...session.value,
-      prompt: systemPrompts[SystemPrompt].systemPrompt
-    };
-  }
-}
-//
-//
-///////////// UI Improvements /////////////
-
-
-
-
-const ConfigForm = (props) => {
-  const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-  const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-  const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-  const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-  const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-  const grammarJsonSchemaPropOrder = signal('')
-  const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-  const convertJSONSchemaGrammar = async () => {
-    try {
-      let schema = JSON.parse(params.value.grammar)
-      const converter = new SchemaConverter({
-        prop_order: grammarJsonSchemaPropOrder.value
-          .split(',')
-          .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-        allow_fetch: true,
-      })
-      schema = await converter.resolveRefs(schema, 'input')
-      converter.visit(schema, '')
-      params.value = {
-        ...params.value,
-        grammar: converter.formatGrammar(),
-      }
-    } catch (e) {
-      alert(`Convert failed: ${e.message}`)
-    }
-  }
-
-  const FloatField = ({ label, title, max, min, name, step, value }) => {
-return html`
-<div>
-  <label for="${name}"><span title="${title}">${label}</span></label>
-  <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} title="${title}" />
-  <span id="${name}-value">${value}</span>
-</div>
-`
-};
-
-const IntField = ({ label, title, max, min, step, name, value }) => {
-return html`
-<div>
-  <label for="${name}"><span title="${title}">${label}</span></label>
-  <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsInt} title="${title}" />
-  <span id="${name}-value">${value}</span>
-</div>
-`
-};
-
-const BoolField = ({ label, title, name, value }) => {
-return html`
-<div>
-  <label for="${name}"><span title="${title}">${label}</span></label>
-  <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} title="${title}" />
-</div>
-`
-};
-
-  const userTemplateReset = (e) => {
-    e.preventDefault();
-    userTemplateResetToDefaultAndApply()
-  }
-
-  const UserTemplateResetButton = () => {
-    if (selectedUserTemplate.value.name == 'default') {
-      return html`
-      <button class="reset-button" id="id_reset" onclick="${userTemplateReset}">Reset</button>
-      `
-    }
-
-    return html`
-      <div class="button-container">
-        <button class="reset-button" title="Caution: This resets the entire form." onclick="${userTemplateReset}">Reset</button>
-      </div>
-    `
-  };
-
-  useEffect(() => {
-    // autosave template on every change
-    userTemplateAutosave()
-  }, [session.value, params.value])
-
-  const GrammarControl = () => (
-    html`
-      <div>
-        <div class="grammar">
-          <label for="template"></label>
-          <textarea id="grammar" name="grammar" placeholder="Use GBNF or JSON Schema + Converter" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-        </div>
-        <div class="grammar-columns">
-          <div class="json-schema-controls">
-            <input type="text" name="prop-order" placeholder="Order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" class="button-grammar" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-        </div>
-      </div>
-    `
-  );
-
-  const PromptControlFieldSet = () => (
-    html`
-      <fieldset>
-        <div class="input-container">
-          <label for="prompt" class="input-label">System</label>
-          <textarea
-            id="prompt"
-            class="persistent-input"
-            name="prompt"
-            placeholder="[Note] The following models do not support System Prompts by design:\n• OpenChat\n• Orion\n• Phi-3\n• Starling\n• Yi-...-Chat"
-            value="${session.value.prompt}"
-            oninput=${updateSession}
-          ></textarea>
-        </div>
-      </fieldset>
-    `
-  );
-
-  const ChatConfigForm = () => (
-    html`
-      <fieldset class="dropdowns">
-        <div>
-          <select id="promptFormat" name="promptFormat" onchange=${updatePromptFormat}>
-              <option value="default">Prompt Style</option>
-              <option value=""></option>
-            <optgroup label="Common Prompt-Styles">
-              <option value="alpaca">Alpaca</option>
-              <option value="chatml">ChatML</option>
-              <option value="commandr">Command R/+</option>
-              <option value="llama2">Llama 2</option>
-              <option value="llama3">Llama 3</option>
-              <option value="phi3">Phi-3</option>
-              <option value="openchat">OpenChat/Starling</option>
-              <option value="vicuna">Vicuna</option>
-              <option value=""></option>
-            </optgroup>
-            <optgroup label="More Prompt-Styles">
-              <option value="vicuna">Airoboros L2</option>
-              <option value="vicuna">BakLLaVA-1</option>
-              <option value="alpaca">Code Cherry Pop</option>
-              <option value="deepseekCoder">Deepseek Coder</option>
-              <option value="chatml">Dolphin Mistral</option>
-              <option value="chatml">evolvedSeeker 1.3B</option>
-              <option value="vicuna">Goliath 120B</option>
-              <option value="vicuna">Jordan</option>
-              <option value="vicuna">LLaVA</option>
-              <option value="chatml">Leo Hessianai</option>
-              <option value="vicuna">Leo Mistral</option>
-              <option value="vicuna">Marx</option>
-              <option value="med42">Med42</option>
-              <option value="alpaca">MetaMath</option>
-              <option value="llama2">Mistral Instruct</option>
-              <option value="chatml">Mistral 7B OpenOrca</option>
-              <option value="alpaca">MythoMax</option>
-              <option value="neuralchat">Neural Chat</option>
-              <option value="vicuna">Nous Capybara</option>
-              <option value="nousHermes">Nous Hermes</option>
-              <option value="openchatMath">OpenChat Math</option>
-              <option value="chatml">OpenHermes 2.5-Mistral</option>
-              <option value="alpaca">Orca Mini v3</option>
-              <option value="orion">Orion</option>
-              <option value="vicuna">Samantha</option>
-              <option value="chatml">Samantha Mistral</option>
-              <option value="sauerkrautLM">SauerkrautLM</option>
-              <option value="vicuna">Scarlett</option>
-              <option value="starlingCode">Starling Coding</option>
-              <option value="alpaca">Sydney</option>
-              <option value="vicuna">Synthia</option>
-              <option value="vicuna">Tess</option>
-              <option value="yi34b">Yi-6/9/34B-Chat</option>
-              <option value="zephyr">Zephyr</option>
-              <option value=""></option>
-            </optgroup>
-          </select>
-          <select id="SystemPrompt" name="SystemPrompt" onchange=${updateSystemPrompt}>
-            <option value="default">System Prompt</option>
-            <option value="empty">None</option>
-            <option value="airoboros">Airoboros</option>
-            <option value="alpaca">Alpaca</option>
-            <option value="atlas">Atlas</option>
-            <option value="atlas_de">Atlas - DE</option>
-            <option value="cot">Chain of Tought</option>
-            <option value="commandrempty">Command R/+ (empty)</option>
-            <option value="commandrexample">Command R/+ (example)</option>
-            <option value="deduce">Critical Thinking</option>
-            <option value="deepseekcoder">Deepseek Coder</option>
-            <option value="jordan">Jordan</option>
-            <option value="leomistral">Leo Mistral</option>
-            <option value="med42">Med42</option>
-            <option value="migeltot">Migel's Tree of Thought</option>
-            <option value="mistralopenorca">Mistral OpenOrca</option>
-            <option value="orcamini">Orca Mini</option>
-            <option value="samantha">Samantha</option>
-            <option value="sauerkraut">Sauerkraut</option>
-            <option value="scarlett">Scarlett</option>
-            <option value="synthia">Synthia</option>
-            <option value="vicuna">Vicuna</option>
-          </select>
-          <!--<select id="systemLanguage" name="systemLanguage">-->
-            <!--<option value="default">English</option>-->
-            <!--<option value="DE">German</option>-->
-            <!--<option value="placeholderLanguage">Placeholder</option>-->
-          <!--</select>-->
-        </div>
-      </fieldset>
-      ${PromptControlFieldSet()}
-        <fieldset>
-          <details>
-            <summary><span class="summary-title" id="id_prompt-style">Prompt Style</span></summary>
-            <fieldset class="names">
-          <div>
-            <label for="user" id="id_user-name">User ID</label>
-            <input type="text" id="user" name="user" value="${session.value.user}" oninput=${updateSession} />
-          </div>
-          <div>
-            <label for="bot" id="id_bot-name">AI ID</label>
-            <input type="text" id="bot" name="char" value="${session.value.char}" oninput=${updateSession} />
-          </div>
-        </fieldset>
-          <div class="two-columns">
-            <div>
-              <div class="input-container">
-                <label for="template" class="input-label-sec" id_prompt-template>Prompt Template</label>
-                <textarea id="template" class="persistent-input-sec" name="template" value="${session.value.template}" rows=6 oninput=${updateSession}/>
-              </div>
-            </div>
-            <div>
-              <div class="input-container">
-                <label for="template" class="input-label-sec" id="id_history-template">Chat History</label>
-                <textarea id="history-template" class="persistent-input-sec" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-              </div>
-            </div>
-          </div>
-        </details>
-        <details>
-          <summary><span class="summary-title" id="id_grammar-title" id_grammar-title>Grammar</span></summary>
-          ${GrammarControl()}
-        </details>
-
-        </fieldset>
-    `
-  );
-
-  const CompletionConfigForm = () => (
-    html`
-      ${PromptControlFieldSet()}
-      <fieldset>
-        <details>
-          <summary><span class="summary-title" id="id_grammar-title" id_grammar-title>Grammar</span></summary>
-          ${GrammarControl()}
-        </details>
-      </fieldset>
-    `
-  );
-// todo toggle button et api field et reset button in one nice row
-  return html`
-    <form>
-      <fieldset class="two">
-          <input type="checkbox" id="toggle" class="toggleCheckbox" onchange=${handleToggleChange} />
-            <label for="toggle" class="toggleContainer">
-              <div id="id_toggle-label-chat">Chat</div>
-              <div id="id_toggle-label-complete">Complete</div>
-            </label>
-      <fieldset>
-
-          <input type="text" id="api_key" class="apiKey" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-      </fieldset>
-
-        <${UserTemplateResetButton}/>
-      </fieldset>
-
-      ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-      <fieldset class="params">
-        ${IntField({ label: "Prediction", title: "Set the maximum number of tokens to predict when generating text. Note: May exceed the set limit slightly if the last token is a partial multibyte character. When 0, no tokens will be generated but the prompt is evaluated into the cache. The value -1 means infinity. Default is 358", max: 2048, min: -1, step: 16, name: "n_predict", value: params.value.n_predict, })}
-        ${FloatField({ label: "Min-P sampling", title: "The minimum probability for a token to be considered, relative to the probability of the most likely token. Note that it's good practice to disable all other samplers aside from temperature when using min-p. It is also recommenend to go this approach. Default is 0.05 – But consider higher values like ~ 0.4 for non-English text generation. The value 1.0 means disabled", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-        ${FloatField({ label: "Repetition Penalty", title: "Control the repetition of token sequences in the generated text. Default is 1.1", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-        ${FloatField({ label: "Temperature", title: "This will adjust the overall randomness of the generated text. It is the most common sampler. Default is 0.8 but consider using lower values for more factual texts or for non-English text generation", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-      </fieldset>
-
-      <details>
-        <summary><span class="summary-title">Further Options</span></summary>
-        <fieldset class="params">
-          ${IntField({ label: "Top-K", title: "Limits the selection of the next token to the K most probable tokens. 1 means no randomness = greedy sampling. If set to 0, it means the entire vocabulary size is considered.", max: 100, min: 0, step: 1, name: "top_k", value: params.value.top_k })}
-          ${IntField({ label: "Penalize Last N", title: "The last n tokens that are taken into account to penalise repetitions. A value of 0 means that this function is deactivated and -1 means that the entire size of the context is taken into account.", max: 2048, min: 0, step: 16, name: "repeat_last_n", value: params.value.repeat_last_n })}
-          ${FloatField({ label: "Presence Penalty", title: "A penalty that is applied if certain tokens appear repeatedly in the generated text. A higher value leads to fewer repetitions.", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-          ${FloatField({ label: "Frequency Penalty", title: "A penalty that is applied based on the frequency with which certain tokens occur in the training data set. A higher value results in rare tokens being favoured.", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-          ${FloatField({ label: "Top-P", title: "Limits the selection of the next token to a subset of tokens whose combined probability reaches a threshold value P = top-P. If set to 1, it means the entire vocabulary size is considered.", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-          ${FloatField({ label: "Typical-P", title: "Activates local typical sampling, a method used to limit the prediction of tokens that are atypical in the current context. The parameter p controls the strength of this limitation. A value of 1.0 means that this function is deactivated.", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-          ${FloatField({ label: "XTC probability", title: "Sets the chance for token removal (checked once on sampler start)", max: 1.0, min: 0.0, name: "xtc_probability", step: 0.01, value: params.value.xtc_probability })}
-          ${FloatField({ label: "XTC threshold", title: "Sets a minimum probability threshold for tokens to be removed", max: 0.5, min: 0.0, name: "xtc_threshold", step: 0.01, value: params.value.xtc_threshold })}
-          ${FloatField({ label: "DRY Penalty Multiplier", title: "Set the DRY repetition penalty multiplier. Default is 0.0, which disables DRY.", max: 5.0, min: 0.0, name: "dry_multiplier", step: 0.01, value: params.value.dry_multiplier })}
-          ${FloatField({ label: "DRY Base", title: "Set the DRY repetition penalty base value. Default is 1.75", max: 3.0, min: 1.0, name: "dry_base", step: 0.01, value: params.value.dry_base })}
-          ${IntField({ label: "DRY Allowed Length", title: "Tokens that extend repetition beyond this receive exponentially increasing penalty. Default is 2", max: 10, min: 1, step: 1, name: "dry_allowed_length", value: params.value.dry_allowed_length })}
-          ${IntField({ label: "DRY Penalty Last N", title: "How many tokens to scan for repetitions. Default is -1, where 0 is disabled and -1 is context size", max: 2048, min: -1, step: 16, name: "dry_penalty_last_n", value: params.value.dry_penalty_last_n })}
-          ${IntField({ label: "Min Keep", title: "If greater than 0, samplers are forced to return N possible tokens at minimum. Default is 0", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-        </fieldset>
-
-        <hr style="height: 1px; background-color: #ececf1; border: none;" />
-
-        <fieldset class="three">
-          <label title="The Mirostat sampling method is an algorithm used in natural language processing to improve the quality and coherence of the generated texts. It is an at-runtime-adaptive method that aims to keep the entropy or surprise of a text within a desired range."><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> Mirostat off</label>
-          <label title="Mirostat version 1 was developed to adjust the probability of predictions so that the surprise in the text remains constant. This means that the algorithm tries to maintain a balance between predictable and surprising words so that the text is neither too monotonous nor too chaotic. V1 is recommended for longer writings, creative texts, etc."><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-          <label title="Mirostat version 2 builds on the idea of V1 but brings some improvements. V2 is recommended as a general purpose algorithm since it offers more precise control over entropy and reacts more quickly to unwanted deviations. As a result, the generated texts appear even more consistent and coherent, especially for everday life conversations."><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-          </fieldset>
-        <fieldset class="params">
-          ${FloatField({ label: "Entropy tau", title: "Tau controls the desired level of entropy (or 'surprise') in the text. A low tau (e.g. 0.5) would mean that a text is very predictable, but will also be very coherent. A high tau (e.g. 8.0) would mean that the text is very creative and surprising, but may also be difficult to follow because unlikely words will occur frequently.", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-          ${FloatField({ label: "Learning-rate eta", title: "Eta determines how quickly the Mirostat algorithm adjusts its predictions to achieve the desired entropy. A learning rate that is too high can cause the algorithm to react too quickly and possibly become unstable, because the algorithm will try to maintain a balance between surprises and precision in the context of only a few words. In this way, 'the common thread' could be lost. Whereas a learning rate that is too low means that the algorithm reacts too slowly and a red thread becomes a heavy goods train that takes a long time to come to a halt and change a 'topic station'.", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-        </fieldset>
-
-          <hr style="height: 1px; background-color: #ececf1; border: none;" />
-
-          <fieldset class="params">
-            ${IntField({ label: "Show Probabilities", title: "If greater than 0, the response also contains the probabilities of top N tokens for each generated token given the sampling settings. The tokens will be colored in gradient from green to red depending on their probabilities. Note that for temperature 0 the tokens are sampled greedily but token probabilities are still being calculated via a simple softmax of the logits without considering any other sampler settings. Defaults to 0", max: 10, min: 0, step: 1, name: "n_probs", value: params.value.n_probs })}
-          </fieldset>
-      </details>
-    </form>
-  `
-}
-
-    // todo - beautify apikey section with css
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
-        .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-        .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-      <span class=generation-statistics>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover} contenteditable="true">${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <h2>llama.cpp</h2>
-            <div class="dropdown">
-              <button class="dropbtn"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="12" cy="12" r="10" stroke-width="2"/></svg></button>
-              <div class="dropdown-content" id="theme-selector">
-                <a href="/">Old UI</a>
-                <a href="#" data-theme="default">Snow Storm</a>
-                <a href="#" data-theme="polarnight">Polar Night</a>
-                <a href="#" data-theme="ketivah">Ketivah</a>
-                <a href="#" data-theme="mangotango">Mango Tango</a>
-                <a href="#" data-theme="playground">Playground</a>
-                <a href="#" data-theme="beeninorder">Been In Order</a>
-              </div>
-            </div>
-          </header>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered By <a href="https://github.com/ggml-org/llama.cpp#readme" target="_blank">llama.cpp</a> and <a href="https://ggml.ai/" target="_blank">ggml.ai</a></p>
-          </footer>
-        </div>
-      `;
-    }
-
-  document.addEventListener('DOMContentLoaded', function() {
-  var themeSelector = document.getElementById('theme-selector');
-  var themeLinks = themeSelector.querySelectorAll('a[data-theme]');
-
-  themeLinks.forEach(function(link) {
-    link.addEventListener('click', function(event) {
-      event.preventDefault(); // avoid default behaviour
-      var selectedTheme = event.target.getAttribute('data-theme');
-      changeTheme(selectedTheme);
-    });
-  });
-
-  function changeTheme(theme) {
-    document.body.classList.remove('theme-default', 'theme-polarnight', 'theme-ketivah', 'theme-mangotango', 'theme-playground', 'theme-beeninorder');
-    if (theme !== 'default') {
-      document.body.classList.add('theme-' + theme);
-    }
-    localStorage.setItem('selected-theme', theme);
-  }
-
-  // set the selected theme when loading the page
-  var savedTheme = localStorage.getItem('selected-theme');
-  if (savedTheme && savedTheme !== 'default') {
-    document.body.classList.add('theme-' + savedTheme);
-    // update the dropdown if it still exists
-    var dropdown = document.getElementById('theme-selector-dropdown');
-    if (dropdown) {
-      dropdown.value = savedTheme;
-    }
-  }
-});
-
-
-// snapping of the slider to indicate 'disabled'
-document.addEventListener('DOMContentLoaded', (event) => {
-  // define an object that contains snap values and ranges for each slider
-  const snapSettings = {
-    temperature: { snapValue: 1.0, snapRangeMultiplier: 6 },
-    min_p: { snapValue: 0.05, snapRangeMultiplier: 2 },
-    xtc_probability: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    xtc_threshold: { snapValue: 0.5, snapRangeMultiplier: 4 },
-    top_p: { snapValue: 1.0, snapRangeMultiplier: 4 },
-    typical_p: { snapValue: 1.0, snapRangeMultiplier: 4 },
-    repeat_penalty: { snapValue: 1.0, snapRangeMultiplier: 4 },
-    presence_penalty: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    frequency_penalty: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    dry_multiplier: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    dry_base: { snapValue: 1.75, snapRangeMultiplier: 4 },
-  };
-  // add an event listener for each slider
-  Object.keys(snapSettings).forEach(sliderName => {
-    const slider = document.querySelector(`input[name="${sliderName}"]`);
-    const settings = snapSettings[sliderName];
-
-    slider.addEventListener('input', (e) => {
-      let value = parseFloat(e.target.value);
-      const step = parseFloat(e.target.step);
-      const snapRange = step * settings.snapRangeMultiplier;
-      const valueDisplay = document.getElementById(`${e.target.name}-value`);
-
-      if (value >= settings.snapValue - snapRange && value <= settings.snapValue + snapRange) {
-        value = settings.snapValue; // set value to the snap value
-        e.target.value = value; // update the slider value
-      }
-      // update the displayed value
-      if (valueDisplay) {
-        valueDisplay.textContent = value.toFixed(2); // display value with two decimal places
-      }
-    });
-  });
-});
-
-    render(h(App), document.querySelector('#container'));
-
-  </script>
-</head>
-
-<body>
-
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/public_legacy/index.html b/tools/server/public_legacy/index.html
deleted file mode 100644
index 98d56ea8b194c085e5088ad7392f3f220b60dac3..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/index.html
+++ /dev/null
@@ -1,1301 +0,0 @@
-<html>
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <style>
-    body {
-      font-family: system-ui;
-      font-size: 90%;
-    }
-
-    .grid-container {
-      display: grid;
-      grid-template-columns: auto auto auto;
-      padding: 10px;
-    }
-
-    .grid-item {
-      padding: 5px;
-      /* font-size: 30px; */
-      text-align: center;
-    }
-
-    #container {
-      margin: 0em auto;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      height: 100%;
-    }
-
-    main {
-      margin: 3px;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      gap: 1em;
-
-      flex-grow: 1;
-      overflow-y: auto;
-
-      border: 1px solid #ccc;
-      border-radius: 5px;
-      padding: 0.5em;
-    }
-
-    h1 {
-      text-align: center;
-    }
-
-    .customlink:link {
-      color: white;
-      background-color: #007aff;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      border-radius: 4px;
-      padding: 8px;
-    }
-
-    .customlink:visited {
-      color: white;
-      background-color: #007aff;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      padding: 8px;
-    }
-
-    .customlink:hover {
-      color: white;
-      background-color: #0070ee;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      padding: 8px;
-    }
-
-    .customlink:active {
-      color: #0070ee;
-      background-color: #80b3ef;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      padding: 8px;
-    }
-
-    body {
-      max-width: 600px;
-      min-width: 300px;
-      line-height: 1.2;
-      margin: 0 auto;
-      padding: 0 0.5em;
-    }
-
-    p {
-      overflow-wrap: break-word;
-      word-wrap: break-word;
-      hyphens: auto;
-      margin-top: 0.5em;
-      margin-bottom: 0.5em;
-    }
-
-    #write form {
-      margin: 1em 0 0 0;
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-      align-items: stretch;
-    }
-
-    .message-controls {
-      display: flex;
-      justify-content: flex-end;
-    }
-    .message-controls > div:nth-child(2) {
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-    }
-    .message-controls > div:nth-child(2) > div {
-      display: flex;
-      margin-left: auto;
-      gap: 0.5em;
-    }
-
-    fieldset {
-      border: none;
-      padding: 0;
-      margin: 0;
-    }
-
-    fieldset.two {
-      display: grid;
-      grid-template: "a a";
-      gap: 1em;
-    }
-
-    fieldset.three {
-      display: grid;
-      grid-template: "a a a";
-      gap: 1em;
-    }
-
-    details {
-      border: 1px solid #aaa;
-      border-radius: 4px;
-      padding: 0.5em 0.5em 0;
-      margin-top: 0.5em;
-    }
-
-    summary {
-      font-weight: bold;
-      margin: -0.5em -0.5em 0;
-      padding: 0.5em;
-      cursor: pointer;
-    }
-
-    details[open] {
-      padding: 0.5em;
-    }
-
-    .prob-set {
-      padding: 0.3em;
-      border-bottom: 1px solid #ccc;
-    }
-
-    .popover-content {
-      position: absolute;
-      background-color: white;
-      padding: 0.2em;
-      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-    }
-
-    textarea {
-      padding: 5px;
-      flex-grow: 1;
-      width: 100%;
-    }
-
-    pre code {
-      display: block;
-      background-color: #222;
-      color: #ddd;
-    }
-
-    code {
-      font-family: monospace;
-      padding: 0.1em 0.3em;
-      border-radius: 3px;
-    }
-
-    fieldset label {
-      margin: 0.5em 0;
-      display: block;
-    }
-
-    fieldset label.slim {
-      margin: 0 0.5em;
-      display: inline;
-    }
-
-    header,
-    footer {
-      text-align: center;
-    }
-
-    footer {
-      font-size: 80%;
-      color: #888;
-    }
-
-    .mode-chat textarea[name=prompt] {
-      height: 4.5em;
-    }
-
-    .mode-completion textarea[name=prompt] {
-      height: 10em;
-    }
-
-    [contenteditable] {
-      display: inline-block;
-      white-space: pre-wrap;
-      outline: 0px solid transparent;
-    }
-
-    @keyframes loading-bg-wipe {
-      0% {
-        background-position: 0%;
-      }
-
-      100% {
-        background-position: 100%;
-      }
-    }
-
-    .loading {
-      --loading-color-1: #eeeeee00;
-      --loading-color-2: #eeeeeeff;
-      background-size: 50% 100%;
-      background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-      animation: loading-bg-wipe 2s linear infinite;
-    }
-
-    @media (prefers-color-scheme: dark) {
-      .loading {
-        --loading-color-1: #22222200;
-        --loading-color-2: #222222ff;
-      }
-
-      .popover-content {
-        background-color: black;
-      }
-    }
-  </style>
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
-      template: "{{prompt}}\n\n{{history}}\n{{char}}:",
-      historyTemplate: "{{name}}: {{message}}",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "Llama",
-      user: "User",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 400,
-      temperature: 0.7,
-      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.18, // 1.0 = disabled
-      dry_multiplier: 0.0, // 0.0 = disabled, 0.8 works well
-      dry_base: 1.75,     // 0.0 = disabled
-      dry_allowed_length: 2, // tokens extending repetitions beyond this receive penalty, 2 works well
-      dry_penalty_last_n: -1, // how many tokens to scan for repetitions (0 = disable penalty, -1 = context size)
-      top_k: 40, // <= 0 to use vocab size
-      top_p: 0.95, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled
-      xtc_probability: 0.0, // 0 = disabled;
-      xtc_threshold: 0.1, // > 0.5 disables XTC;
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-    /* START: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Resetting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const tts = window.speechSynthesis;
-    const ttsVoice = signal(null)
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: new URL('.', document.baseURI).href })) {
-        const data = chunk.data;
-
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");
-            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-
-        if (data.timings) {
-          llamaStats.value = data;
-        }
-      }
-
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join("\n"),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
-    const talkRecognition = SpeechRecognition ? new SpeechRecognition() : null;
-    function MessageInput() {
-      const message = useSignal("");
-
-      const talkActive = useSignal(false);
-      const sendOnTalk = useSignal(false);
-      const talkStop = (e) => {
-        if (e) e.preventDefault();
-
-        talkActive.value = false;
-        talkRecognition?.stop();
-      }
-      const talk = (e) => {
-        e.preventDefault();
-
-        if (talkRecognition)
-          talkRecognition.start();
-        else
-          alert("Speech recognition is not supported by this browser.");
-      }
-      if(talkRecognition) {
-        talkRecognition.onstart = () => {
-          talkActive.value = true;
-        }
-        talkRecognition.onresult = (e) => {
-          if (event.results.length > 0) {
-            message.value = event.results[0][0].transcript;
-            if (sendOnTalk.value) {
-              submit(e);
-            }
-          }
-        }
-        talkRecognition.onspeechend = () => {
-          talkStop();
-        }
-      }
-
-      const ttsVoices = useSignal(tts?.getVoices() || []);
-      const ttsVoiceDefault = computed(() => ttsVoices.value.find(v => v.default));
-      if (tts) {
-        tts.onvoiceschanged = () => {
-          ttsVoices.value = tts.getVoices();
-        }
-      }
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-        <form onsubmit=${submit}>
-          <div>
-            <textarea
-               className=${generating.value ? "loading" : null}
-               oninput=${(e) => message.value = e.target.value}
-               onkeypress=${enterSubmits}
-               placeholder="Say something..."
-               rows=2
-               type="text"
-               value="${message}"
-            />
-          </div>
-          <div class="message-controls">
-            <div> </div>
-            <div>
-              <div>
-                <button type="submit" disabled=${generating.value || talkActive.value}>Send</button>
-                <button disabled=${generating.value || talkActive.value} onclick=${uploadImage}>Upload Image</button>
-                <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-                <button onclick=${reset}>Reset</button>
-              </div>
-              <div>
-                <a href="#" style="cursor: help;" title="Help" onclick=${e => {
-                  e.preventDefault();
-                  alert(`STT supported by your browser: ${SpeechRecognition ? 'Yes' : 'No'}\n` +
-                  `(TTS and speech recognition are not provided by llama.cpp)\n` +
-                  `Note: STT requires HTTPS to work.`);
-                }}>[?]</a>
-                <button disabled=${generating.value} onclick=${talkActive.value ? talkStop : talk}>${talkActive.value ? "Stop Talking" : "Talk"}</button>
-                <div>
-                  <input type="checkbox" id="send-on-talk" name="send-on-talk" checked="${sendOnTalk}" onchange=${(e) => sendOnTalk.value = e.target.checked} />
-                  <label for="send-on-talk" style="line-height: initial;">Send after talking</label>
-                </div>
-              </div>
-              <div>
-                <a href="#" style="cursor: help;" title="Help" onclick=${e => {
-                  e.preventDefault();
-                  alert(`TTS supported by your browser: ${tts ? 'Yes' : 'No'}\n(TTS and speech recognition are not provided by llama.cpp)`);
-                }}>[?]</a>
-                <label for="tts-voices" style="line-height: initial;">Bot Voice:</label>
-                <select id="tts-voices" name="tts-voices" onchange=${(e) => ttsVoice.value = e.target.value} style="max-width: 100px;">
-                  <option value="" selected="${!ttsVoice.value}">None</option>
-                  ${[
-                    ...(ttsVoiceDefault.value ? [ttsVoiceDefault.value] : []),
-                    ...ttsVoices.value.filter(v => !v.default),
-                  ].map(
-                    v => html`<option value="${v.name}" selected="${ttsVoice.value === v.name}">${v.name} (${v.lang}) ${v.default ? '(default)' : ''}</option>`
-                  )}
-                </select>
-              </div>
-            </div>
-          </div>
-        </form>
-      `
-    }
-
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div>
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Reset</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const ttsChatLineActiveIx = useSignal(undefined);
-      const ttsChatLine = (e, ix, msg) => {
-        if (e) e.preventDefault();
-
-        if (!tts || !ttsVoice.value || !('SpeechSynthesisUtterance' in window)) return;
-
-        const ttsVoices = tts.getVoices();
-        const voice = ttsVoices.find(v => v.name === ttsVoice.value);
-        if (!voice) return;
-
-        if (ttsChatLineActiveIx.value !== undefined) {
-          tts.cancel();
-          if (ttsChatLineActiveIx.value === ix) {
-            ttsChatLineActiveIx.value = undefined;
-            return;
-          }
-        }
-
-        ttsChatLineActiveIx.value = ix;
-        let ttsUtter = new SpeechSynthesisUtterance(msg);
-        ttsUtter.voice = voice;
-        ttsUtter.onend = e => {
-          ttsChatLineActiveIx.value = undefined;
-        };
-        tts.speak(ttsUtter);
-      }
-
-      const isCompletionMode = session.value.type === 'completion'
-
-      // Try play the last bot message
-      const lastCharChatLinesIxs = useSignal([]);
-      const lastCharChatLinesIxsOld = useSignal([]);
-      useEffect(() => {
-        if (
-          !isCompletionMode
-          && lastCharChatLinesIxs.value.length !== lastCharChatLinesIxsOld.value.length
-          && !generating.value
-        ) {
-          const ix = lastCharChatLinesIxs.value[lastCharChatLinesIxs.value.length - 1];
-          if (ix !== undefined) {
-            const msg = messages[ix];
-            ttsChatLine(null, ix, Array.isArray(msg) ? msg[1].map(m => m.content).join('') : msg);
-          }
-
-          lastCharChatLinesIxsOld.value = structuredClone(lastCharChatLinesIxs.value);
-        }
-      }, [generating.value]);
-
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data);
-        const text = isArrayMessage ?
-            data.map(msg => msg.content).join('') :
-            data;
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-
-        const fromBot = user && user === '{{char}}';
-        if (fromBot && !lastCharChatLinesIxs.value.includes(index))
-          lastCharChatLinesIxs.value.push(index);
-
-        if (user) {
-          return html`
-          <div>
-            <p key=${index}><strong>${template(user)}:</strong> ${message}</p>
-            ${
-              fromBot && ttsVoice.value
-              && html`<button disabled=${generating.value} onclick=${e => ttsChatLine(e, index, text)} aria-label=${ttsChatLineActiveIx.value === index ? 'Pause' : 'Play'}>${ ttsChatLineActiveIx.value === index ? '⏸️' : '▶️' }</div>`
-            }
-          </div>
-          `;
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<div><p key=${index}>${message}</p></div>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-    const ConfigForm = (props) => {
-      const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-      const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-      const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-      const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-      const grammarJsonSchemaPropOrder = signal('')
-      const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-      const convertJSONSchemaGrammar = async () => {
-        try {
-          let schema = JSON.parse(params.value.grammar)
-          const converter = new SchemaConverter({
-            prop_order: grammarJsonSchemaPropOrder.value
-              .split(',')
-              .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-            allow_fetch: true,
-          })
-          schema = await converter.resolveRefs(schema, 'input')
-          converter.visit(schema, '')
-          params.value = {
-            ...params.value,
-            grammar: converter.formatGrammar(),
-          }
-        } catch (e) {
-          alert(`Convert failed: ${e.message}`)
-        }
-      }
-
-      const FloatField = ({ label, max, min, name, step, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const IntField = ({ label, max, min, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const BoolField = ({ label, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
-          </div>
-        `
-      };
-
-      const userTemplateReset = (e) => {
-        e.preventDefault();
-        userTemplateResetToDefaultAndApply()
-      }
-
-      const UserTemplateResetButton = () => {
-        if (selectedUserTemplate.value.name == 'default') {
-          return html`
-            <button disabled>Using default template</button>
-          `
-        }
-
-        return html`
-          <button onclick=${userTemplateReset}>Reset all to default</button>
-        `
-      };
-
-      useEffect(() => {
-        // autosave template on every change
-        userTemplateAutosave()
-      }, [session.value, params.value])
-
-      const GrammarControl = () => (
-        html`
-          <div>
-            <label for="template">Grammar</label>
-            <textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-            <input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-          `
-      );
-
-      const PromptControlFieldSet = () => (
-        html`
-        <fieldset>
-          <div>
-            <label htmlFor="prompt">Prompt</label>
-            <textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
-          </div>
-        </fieldset>
-        `
-      );
-
-      const ChatConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-
-          <fieldset class="two">
-            <div>
-              <label for="user">User name</label>
-              <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
-            </div>
-
-            <div>
-              <label for="bot">Bot name</label>
-              <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
-            </div>
-          </fieldset>
-
-          <fieldset>
-            <div>
-              <label for="template">Prompt template</label>
-              <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
-            </div>
-
-            <div>
-              <label for="template">Chat history template</label>
-              <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-            </div>
-            ${GrammarControl()}
-          </fieldset>
-      `
-      );
-
-      const CompletionConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-          <fieldset>${GrammarControl()}</fieldset>
-        `
-      );
-
-      return html`
-        <form>
-          <fieldset class="two">
-            <${UserTemplateResetButton}/>
-            <div>
-              <label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
-              <label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
-            </div>
-          </fieldset>
-
-          ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-          <fieldset class="two">
-            ${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
-            ${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-            ${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-            ${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
-            ${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
-            ${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-            ${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-          </fieldset>
-          <details>
-            <summary>More options</summary>
-            <fieldset class="two">
-              ${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-              ${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-              ${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-              ${FloatField({ label: "DRY Penalty Multiplier", max: 5.0, min: 0.0, name: "dry_multiplier", step: 0.01, value: params.value.dry_multiplier })}
-              ${FloatField({ label: "DRY Base", max: 3.0, min: 1.0, name: "dry_base", step: 0.01, value: params.value.dry_base })}
-              ${IntField({ label: "DRY Allowed Length", max: 10, min: 2, step: 1, name: "dry_allowed_length", value: params.value.dry_allowed_length })}
-              ${IntField({ label: "DRY Penalty Last N", max: 2048, min: -1, step: 16, name: "dry_penalty_last_n", value: params.value.dry_penalty_last_n })}
-              ${FloatField({ label: "XTC probability", max: 1.0, min: 0.0, name: "xtc_probability", step: 0.01, value: params.value.xtc_probability })}
-              ${FloatField({ label: "XTC threshold", max: 0.5, min: 0.0, name: "xtc_threshold", step: 0.01, value: params.value.xtc_threshold })}
-            </fieldset>
-            <hr />
-            <fieldset class="three">
-              <div>
-                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
-                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-              </div>
-              ${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-              ${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-            </fieldset>
-            <fieldset>
-              <label for="api_key">API Key</label>
-              <input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-            </fieldset>
-          </details>
-        </form>
-      `
-    }
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const chunks = params.text.split('```');
-
-      for (let i = 0; i < chunks.length; i++) {
-        if (i % 2 === 0) { // outside code block
-          chunks[i] = chunks[i]
-          .replace(/&/g, '&amp;')
-          .replace(/</g, '&lt;')
-          .replace(/>/g, '&gt;')
-          .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
-          .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-          .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-          .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-          .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-          .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-          .replace(/`(.*?)`/g, '<code>$1</code>')
-          .replace(/\n/gim, '<br />');
-        } else { // inside code block
-          chunks[i] = `<pre><code>${chunks[i]}</code></pre>`;
-        }
-      }
-
-      const restoredText = chunks.join('');
-
-      return html`<span dangerouslySetInnerHTML=${{ __html: restoredText }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-        <span>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      useEffect(() => {
-        const query = new URLSearchParams(location.search).get("q");
-        if (query) chat(query);
-      }, []);
-
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <div class="grid-container">
-              <div class="grid-item"></div>
-              <div class="grid-item"><h1>llama.cpp</h1></div>
-              <div class="grid-item"><a class="customlink" href="index-new.html">New UI</a></div>
-            </div>
-          </header>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered by <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
-          </footer>
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diff --git a/tools/server/public_legacy/json-schema-to-grammar.mjs b/tools/server/public_legacy/json-schema-to-grammar.mjs
deleted file mode 100644
index bb25887a144fb5f7b64226acc26537db21afd542..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/json-schema-to-grammar.mjs
+++ /dev/null
@@ -1,860 +0,0 @@
-// WARNING: This file was ported from json_schema_to_grammar.py, please fix bugs / add features there first.
-const SPACE_RULE = '| " " | "\\n"{1,2} [ \\t]{0,20}';
-
-function _buildRepetition(itemRule, minItems, maxItems, opts={}) {
-  if (maxItems == 0) {
-    return '';
-  }
-  if (minItems === 0 && maxItems === 1) {
-    return `${itemRule}?`;
-  }
-
-
-  const separatorRule = opts.separatorRule ?? '';
-  const itemRuleIsLiteral = opts.itemRuleIsLiteral ?? false
-
-  if (separatorRule === '') {
-    if (minItems === 1 && maxItems === undefined) {
-      return `${itemRule}+`;
-    } else if (minItems === 0 && maxItems === undefined) {
-      return `${itemRule}*`;
-    } else {
-      return `${itemRule}{${minItems},${maxItems !== undefined ? maxItems : ''}}`;
-    }
-  }
-
-  const result = itemRule + ' ' + _buildRepetition(`(${separatorRule} ${itemRule})`, minItems > 0 ? minItems - 1 : 0, maxItems !== undefined ? maxItems - 1 : undefined);
-  return minItems === 0 ? `(${result})?` : result;
-}
-
-function _generateMinMaxInt(minValue, maxValue, out, decimalsLeft = 16, topLevel = true) {
-  const hasMin = minValue !== null;
-  const hasMax = maxValue !== null;
-
-  function digitRange(fromChar, toChar) {
-      out.push("[");
-      if (fromChar === toChar) {
-          out.push(fromChar);
-      } else {
-          out.push(fromChar);
-          out.push("-");
-          out.push(toChar);
-      }
-      out.push("]");
-  }
-
-  function moreDigits(minDigits, maxDigits) {
-      out.push("[0-9]");
-      if (minDigits === maxDigits && minDigits === 1) {
-          return;
-      }
-      out.push("{");
-      out.push(minDigits.toString());
-      if (maxDigits !== minDigits) {
-          out.push(",");
-          if (maxDigits !== Number.MAX_SAFE_INTEGER) {
-              out.push(maxDigits.toString());
-          }
-      }
-      out.push("}");
-  }
-
-  function uniformRange(fromStr, toStr) {
-      let i = 0;
-      while (i < fromStr.length && fromStr[i] === toStr[i]) {
-          i++;
-      }
-      if (i > 0) {
-          out.push("\"");
-          out.push(fromStr.slice(0, i));
-          out.push("\"");
-      }
-      if (i < fromStr.length) {
-          if (i > 0) {
-              out.push(" ");
-          }
-          const subLen = fromStr.length - i - 1;
-          if (subLen > 0) {
-              const fromSub = fromStr.slice(i + 1);
-              const toSub = toStr.slice(i + 1);
-              const subZeros = "0".repeat(subLen);
-              const subNines = "9".repeat(subLen);
-
-              let toReached = false;
-              out.push("(");
-              if (fromSub === subZeros) {
-                  digitRange(fromStr[i], String.fromCharCode(toStr.charCodeAt(i) - 1));
-                  out.push(" ");
-                  moreDigits(subLen, subLen);
-              } else {
-                  out.push("[");
-                  out.push(fromStr[i]);
-                  out.push("] ");
-                  out.push("(");
-                  uniformRange(fromSub, subNines);
-                  out.push(")");
-                  if (fromStr.charCodeAt(i) < toStr.charCodeAt(i) - 1) {
-                      out.push(" | ");
-                      if (toSub === subNines) {
-                          digitRange(String.fromCharCode(fromStr.charCodeAt(i) + 1), toStr[i]);
-                          toReached = true;
-                      } else {
-                          digitRange(String.fromCharCode(fromStr.charCodeAt(i) + 1), String.fromCharCode(toStr.charCodeAt(i) - 1));
-                      }
-                      out.push(" ");
-                      moreDigits(subLen, subLen);
-                  }
-              }
-              if (!toReached) {
-                  out.push(" | ");
-                  digitRange(toStr[i], toStr[i]);
-                  out.push(" ");
-                  uniformRange(subZeros, toSub);
-              }
-              out.push(")");
-          } else {
-              out.push("[");
-              out.push(fromStr[i]);
-              out.push("-");
-              out.push(toStr[i]);
-              out.push("]");
-          }
-      }
-  }
-
-  if (hasMin && hasMax) {
-      if (minValue < 0 && maxValue < 0) {
-          out.push("\"-\" (");
-          _generateMinMaxInt(-maxValue, -minValue, out, decimalsLeft, true);
-          out.push(")");
-          return;
-      }
-
-      if (minValue < 0) {
-          out.push("\"-\" (");
-          _generateMinMaxInt(0, -minValue, out, decimalsLeft, true);
-          out.push(") | ");
-          minValue = 0;
-      }
-
-      let minS = minValue.toString();
-      const maxS = maxValue.toString();
-      const minDigits = minS.length;
-      const maxDigits = maxS.length;
-
-      for (let digits = minDigits; digits < maxDigits; digits++) {
-          uniformRange(minS, "9".repeat(digits));
-          minS = "1" + "0".repeat(digits);
-          out.push(" | ");
-      }
-      uniformRange(minS, maxS);
-      return;
-  }
-
-  const lessDecimals = Math.max(decimalsLeft - 1, 1);
-
-  if (hasMin) {
-      if (minValue < 0) {
-          out.push("\"-\" (");
-          _generateMinMaxInt(null, -minValue, out, decimalsLeft, false);
-          out.push(") | [0] | [1-9] ");
-          moreDigits(0, decimalsLeft - 1);
-      } else if (minValue === 0) {
-          if (topLevel) {
-              out.push("[0] | [1-9] ");
-              moreDigits(0, lessDecimals);
-          } else {
-              moreDigits(1, decimalsLeft);
-          }
-      } else if (minValue <= 9) {
-          const c = minValue.toString();
-          const range_start = topLevel ? '1' : '0';
-          if (c > range_start) {
-              digitRange(range_start, String.fromCharCode(c.charCodeAt(0) - 1));
-              out.push(" ");
-              moreDigits(1, lessDecimals);
-              out.push(" | ");
-          }
-          digitRange(c, "9");
-          out.push(" ");
-          moreDigits(0, lessDecimals);
-      } else {
-          const minS = minValue.toString();
-          const length = minS.length;
-          const c = minS[0];
-
-          if (c > "1") {
-              digitRange(topLevel ? "1" : "0", String.fromCharCode(c.charCodeAt(0) - 1));
-              out.push(" ");
-              moreDigits(length, lessDecimals);
-              out.push(" | ");
-          }
-          digitRange(c, c);
-          out.push(" (");
-          _generateMinMaxInt(parseInt(minS.slice(1)), null, out, lessDecimals, false);
-          out.push(")");
-          if (c < "9") {
-              out.push(" | ");
-              digitRange(String.fromCharCode(c.charCodeAt(0) + 1), "9");
-              out.push(" ");
-              moreDigits(length - 1, lessDecimals);
-          }
-      }
-      return;
-  }
-
-  if (hasMax) {
-      if (maxValue >= 0) {
-          if (topLevel) {
-              out.push("\"-\" [1-9] ");
-              moreDigits(0, lessDecimals);
-              out.push(" | ");
-          }
-          _generateMinMaxInt(0, maxValue, out, decimalsLeft, true);
-      } else {
-          out.push("\"-\" (");
-          _generateMinMaxInt(-maxValue, null, out, decimalsLeft, false);
-          out.push(")");
-      }
-      return;
-  }
-
-  throw new Error("At least one of minValue or maxValue must be set");
-}
-
-class BuiltinRule {
-  constructor(content, deps) {
-    this.content = content;
-    this.deps = deps || [];
-  }
-}
-
-const PRIMITIVE_RULES = {
-  boolean        : new BuiltinRule('("true" | "false") space', []),
-  'decimal-part' : new BuiltinRule('[0-9]{1,16}', []),
-  'integral-part': new BuiltinRule('[0] | [1-9] [0-9]{0,15}', []),
-  number         : new BuiltinRule('("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space', ['integral-part', 'decimal-part']),
-  integer        : new BuiltinRule('("-"? integral-part) space', ['integral-part']),
-  value          : new BuiltinRule('object | array | string | number | boolean | null', ['object', 'array', 'string', 'number', 'boolean', 'null']),
-  object         : new BuiltinRule('"{" space ( string ":" space value ("," space string ":" space value)* )? "}" space', ['string', 'value']),
-  array          : new BuiltinRule('"[" space ( value ("," space value)* )? "]" space', ['value']),
-  uuid           : new BuiltinRule('"\\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\\"" space', []),
-  char           : new BuiltinRule(`[^"\\\\\\x7F\\x00-\\x1F] | [\\\\] (["\\\\bfnrt] | "u" [0-9a-fA-F]{4})`, []),
-  string         : new BuiltinRule(`"\\"" char* "\\"" space`, ['char']),
-  null           : new BuiltinRule('"null" space', []),
-};
-
-// TODO: support "uri", "email" string formats
-const STRING_FORMAT_RULES = {
-  'date'            : new BuiltinRule('[0-9]{4} "-" ( "0" [1-9] | "1" [0-2] ) "-" ( \"0\" [1-9] | [1-2] [0-9] | "3" [0-1] )', []),
-  'time'            : new BuiltinRule('([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9]{3} )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )', []),
-  'date-time'       : new BuiltinRule('date "T" time', ['date', 'time']),
-  'date-string'     : new BuiltinRule('"\\"" date "\\"" space', ['date']),
-  'time-string'     : new BuiltinRule('"\\"" time "\\"" space', ['time']),
-  'date-time-string': new BuiltinRule('"\\"" date-time "\\"" space', ['date-time']),
-}
-
-const RESERVED_NAMES = {'root': true, ...PRIMITIVE_RULES, ...STRING_FORMAT_RULES};
-
-const INVALID_RULE_CHARS_RE = /[^\dA-Za-z-]+/g;
-const GRAMMAR_LITERAL_ESCAPE_RE = /[\n\r"\\]/g;
-const GRAMMAR_RANGE_LITERAL_ESCAPE_RE = /[\n\r"\]\-\\]/g;
-const GRAMMAR_LITERAL_ESCAPES = { '\r': '\\r', '\n': '\\n', '"': '\\"', '-': '\\-', ']': '\\]', '\\': '\\\\' };
-
-const NON_LITERAL_SET = new Set('|.()[]{}*+?');
-const ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = new Set('^$.[]()|{}*+?');
-
-export class SchemaConverter {
-  constructor(options) {
-    this._propOrder = options.prop_order || {};
-    this._allowFetch = options.allow_fetch || false;
-    this._dotall = options.dotall || false;
-    this._rules = {'space': SPACE_RULE};
-    this._refs = {};
-    this._refsBeingResolved = new Set();
-  }
-
-  _formatLiteral(literal) {
-    const escaped = literal.replace(
-      GRAMMAR_LITERAL_ESCAPE_RE,
-      m => GRAMMAR_LITERAL_ESCAPES[m]
-    );
-    return `"${escaped}"`;
-  }
-
-  _formatRangeChar(literal) {
-    return JSON.stringify(literal).slice(1, -1).replace(
-      GRAMMAR_RANGE_LITERAL_ESCAPE_RE,
-      m => GRAMMAR_LITERAL_ESCAPES[m]
-    );
-  }
-
-  _addRule(name, rule) {
-    let escName = name.replace(INVALID_RULE_CHARS_RE, '-');
-    let key = escName;
-
-    if (escName in this._rules) {
-      if (this._rules[escName] === rule) {
-        return key;
-      }
-
-      let i = 0;
-      while ((`${escName}${i}` in this._rules) && (this._rules[`${escName}${i}`] !== rule)) {
-        i += 1;
-      }
-      key = `${escName}${i}`;
-    }
-
-    this._rules[key] = rule;
-    return key;
-  }
-
-  async resolveRefs(schema, url) {
-    const visit = async (n) => {
-      if (Array.isArray(n)) {
-        return Promise.all(n.map(visit));
-      } else if (typeof n === 'object' && n !== null) {
-        let ref = n.$ref;
-        let target;
-        if (ref !== undefined && !this._refs[ref]) {
-          if (ref.startsWith('https://')) {
-            if (!this._allowFetch) {
-              throw new Error('Fetching remote schemas is not allowed (use --allow-fetch for force)');
-            }
-            const fetch = (await import('node-fetch')).default;
-
-            const fragSplit = ref.split('#');
-            const baseUrl = fragSplit[0];
-
-            target = this._refs[baseUrl];
-            if (!target) {
-              target = await this.resolveRefs(await fetch(ref).then(res => res.json()), baseUrl);
-              this._refs[baseUrl] = target;
-            }
-
-            if (fragSplit.length === 1 || fragSplit[fragSplit.length - 1] === '') {
-              return target;
-            }
-          } else if (ref.startsWith('#/')) {
-            target = schema;
-            ref = `${url}${ref}`;
-            n.$ref = ref;
-          } else {
-            throw new Error(`Unsupported ref ${ref}`);
-          }
-
-          const selectors = ref.split('#')[1].split('/').slice(1);
-          for (const sel of selectors) {
-            const selIndex = parseInt(sel, 10);
-            if (target && sel in target) {
-              target = target[sel];
-            } else if (target && selIndex in target) {
-              target = target[selIndex];
-            } else {
-              throw new Error(`Error resolving ref ${ref}: ${sel} not in ${JSON.stringify(target)}`);
-            }
-          }
-
-          this._refs[ref] = target;
-        } else {
-          await Promise.all(Object.values(n).map(visit));
-        }
-      }
-
-      return n;
-    };
-
-    return visit(schema);
-  }
-
-  _generateUnionRule(name, altSchemas) {
-    return altSchemas
-      .map((altSchema, i) => this.visit(altSchema, `${name ?? ''}${name ? '-' : 'alternative-'}${i}`))
-      .join(' | ');
-  }
-
-  _visitPattern(pattern, name) {
-    if (!pattern.startsWith('^') || !pattern.endsWith('$')) {
-      throw new Error('Pattern must start with "^" and end with "$"');
-    }
-    pattern = pattern.slice(1, -1);
-    const subRuleIds = {};
-
-    let i = 0;
-    const length = pattern.length;
-
-    const getDot = () => {
-      let rule;
-      if (this._dotall) {
-        rule = '[\\U00000000-\\U0010FFFF]';
-      } else {
-        // Accept any character... except \n and \r line break chars (\x0A and \xOD)
-        rule = '[^\\x0A\\x0D]';
-      }
-      return this._addRule('dot', rule);
-    };
-
-
-    const toRule = ([s, isLiteral]) => isLiteral ? "\"" + s + "\"" : s;
-
-    const transform = () => {
-      const start = i;
-      // For each component of this sequence, store its string representation and whether it's a literal.
-      // We only need a flat structure here to apply repetition operators to the last item, and
-      // to merge literals at the and (we're parsing grouped ( sequences ) recursively and don't treat '|' specially
-      // (GBNF's syntax is luckily very close to regular expressions!)
-      const seq = [];
-
-      const joinSeq = () => {
-        const ret = [];
-        for (const [isLiteral, g] of groupBy(seq, x => x[1])) {
-          if (isLiteral) {
-            ret.push([[...g].map(x => x[0]).join(''), true]);
-          } else {
-            ret.push(...g);
-          }
-        }
-        if (ret.length === 1) {
-          return ret[0];
-        }
-        return [ret.map(x => toRule(x)).join(' '), false];
-      };
-
-      while (i < length) {
-        const c = pattern[i];
-        if (c === '.') {
-          seq.push([getDot(), false]);
-          i += 1;
-        } else if (c === '(') {
-          i += 1;
-          if (i < length) {
-            if (pattern[i] === '?') {
-              throw new Error(`Unsupported pattern syntax "${pattern[i]}" at index ${i} of /${pattern}/`);
-            }
-          }
-          seq.push([`(${toRule(transform())})`, false]);
-        } else if (c === ')') {
-          i += 1;
-          if (start <= 0 || pattern[start - 1] !== '(') {
-            throw new Error(`Unbalanced parentheses; start = ${start}, i = ${i}, pattern = ${pattern}`);
-          }
-          return joinSeq();
-        } else if (c === '[') {
-          let squareBrackets = c;
-          i += 1;
-          while (i < length && pattern[i] !== ']') {
-            if (pattern[i] === '\\') {
-              squareBrackets += pattern.slice(i, i + 2);
-              i += 2;
-            } else {
-              squareBrackets += pattern[i];
-              i += 1;
-            }
-          }
-          if (i >= length) {
-            throw new Error(`Unbalanced square brackets; start = ${start}, i = ${i}, pattern = ${pattern}`);
-          }
-          squareBrackets += ']';
-          i += 1;
-          seq.push([squareBrackets, false]);
-        } else if (c === '|') {
-          seq.push(['|', false]);
-          i += 1;
-        } else if (c === '*' || c === '+' || c === '?') {
-          seq[seq.length - 1] = [toRule(seq[seq.length - 1]) + c, false];
-          i += 1;
-        } else if (c === '{') {
-          let curlyBrackets = c;
-          i += 1;
-          while (i < length && pattern[i] !== '}') {
-            curlyBrackets += pattern[i];
-            i += 1;
-          }
-          if (i >= length) {
-            throw new Error(`Unbalanced curly brackets; start = ${start}, i = ${i}, pattern = ${pattern}`);
-          }
-          curlyBrackets += '}';
-          i += 1;
-          const nums = curlyBrackets.slice(1, -1).split(',').map(s => s.trim());
-          let minTimes, maxTimes;
-          if (nums.length === 1) {
-            minTimes = parseInt(nums[0], 10);
-            maxTimes = minTimes;
-          } else {
-            if (nums.length !== 2) {
-              throw new Error(`Invalid quantifier ${curlyBrackets}`);
-            }
-            minTimes = nums[0] ? parseInt(nums[0], 10) : 0;
-            maxTimes = nums[1] ? parseInt(nums[1], 10) : Infinity;
-          }
-
-          let [sub, subIsLiteral] = seq[seq.length - 1];
-
-          if (!subIsLiteral) {
-            let id = subRuleIds[sub];
-            if (id === undefined) {
-              id = this._addRule(`${name}-${Object.keys(subRuleIds).length + 1}`, sub);
-              subRuleIds[sub] = id;
-            }
-            sub = id;
-          }
-
-          seq[seq.length - 1] = [
-            _buildRepetition(subIsLiteral ? `"${sub}"` : sub, minTimes, maxTimes, {itemRuleIsLiteral: subIsLiteral}),
-            false
-          ];
-        } else {
-          let literal = '';
-          while (i < length) {
-            if (pattern[i] === '\\' && i < length - 1) {
-              const next = pattern[i + 1];
-              if (ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS.has(next)) {
-                i += 1;
-                literal += pattern[i];
-                i += 1;
-              } else {
-                literal += pattern.slice(i, i + 2);
-                i += 2;
-              }
-            } else if (pattern[i] === '"') {
-              literal += '\\"';
-              i += 1;
-            } else if (!NON_LITERAL_SET.has(pattern[i]) &&
-                (i === length - 1 || literal === '' || pattern[i + 1] === '.' || !NON_LITERAL_SET.has(pattern[i+1]))) {
-              literal += pattern[i];
-              i += 1;
-            } else {
-              break;
-            }
-          }
-          if (literal !== '') {
-            seq.push([literal, true]);
-          }
-        }
-      }
-
-      return joinSeq();
-    };
-
-    return this._addRule(name, "\"\\\"\" (" + toRule(transform()) + ") \"\\\"\" space")
-  }
-
-  _notStrings(strings) {
-    class TrieNode {
-      constructor() {
-        this.children = {};
-        this.isEndOfString = false;
-      }
-
-      insert(str) {
-        let node = this;
-        for (const c of str) {
-          node = node.children[c] = node.children[c] || new TrieNode();
-        }
-        node.isEndOfString = true;
-      }
-    }
-
-    const trie = new TrieNode();
-    for (const s of strings) {
-      trie.insert(s);
-    }
-
-    const charRuleName = this._addPrimitive('char', PRIMITIVE_RULES['char']);
-    const out = ['["] ( '];
-
-    const visit = (node) => {
-      const rejects = [];
-      let first = true;
-      for (const c of Object.keys(node.children).sort()) {
-        const child = node.children[c];
-        rejects.push(c);
-        if (first) {
-          first = false;
-        } else {
-          out.push(' | ');
-        }
-        out.push(`[${c}]`);
-        if (Object.keys(child.children).length > 0) {
-          out.push(' (');
-          visit(child);
-          out.push(')');
-        } else if (child.isEndOfString) {
-          out.push(` ${charRuleName}+`);
-        }
-      }
-      if (Object.keys(node.children).length > 0) {
-        if (!first) {
-          out.push(' | ');
-        }
-        out.push(`[^"${rejects.join('')}] ${charRuleName}*`);
-      }
-    };
-
-    visit(trie);
-
-    out.push(` )${trie.isEndOfString ? '' : '?'} ["] space`);
-    return out.join('');
-  }
-
-  _resolveRef(ref) {
-    let refFragment = ref.split('#').pop();
-    let refName = 'ref' + refFragment.replace(/[^a-zA-Z0-9-]+/g, '-');
-    if (!(refName in this._rules) && !this._refsBeingResolved.has(ref)) {
-      this._refsBeingResolved.add(ref);
-      const resolved = this._refs[ref];
-      refName = this.visit(resolved, refName);
-      this._refsBeingResolved.delete(ref);
-    }
-    return refName;
-  }
-
-  _generateConstantRule(value) {
-    return this._formatLiteral(JSON.stringify(value));
-  }
-
-  visit(schema, name) {
-    const schemaType = schema.type;
-    const schemaFormat = schema.format;
-    const ruleName = name in RESERVED_NAMES ? name + '-' : name == '' ? 'root' : name;
-
-    const ref = schema.$ref;
-    if (ref !== undefined) {
-      return this._addRule(ruleName, this._resolveRef(ref));
-    } else if (schema.oneOf || schema.anyOf) {
-      return this._addRule(ruleName, this._generateUnionRule(name, schema.oneOf || schema.anyOf));
-    } else if (Array.isArray(schemaType)) {
-      return this._addRule(ruleName, this._generateUnionRule(name, schemaType.map(t => ({...schema, type: t}))));
-    } else if ('const' in schema) {
-      return this._addRule(ruleName, this._generateConstantRule(schema.const) + ' space');
-    } else if ('enum' in schema) {
-      const rule = '(' + schema.enum.map(v => this._generateConstantRule(v)).join(' | ') + ') space';
-      return this._addRule(ruleName, rule);
-    } else if ((schemaType === undefined || schemaType === 'object') &&
-               ('properties' in schema ||
-                ('additionalProperties' in schema && schema.additionalProperties !== true))) {
-      const required = new Set(schema.required || []);
-      const properties = Object.entries(schema.properties ?? {});
-      return this._addRule(ruleName, this._buildObjectRule(properties, required, name, schema.additionalProperties));
-    } else if ((schemaType === undefined || schemaType === 'object' || schemaType === 'string') && 'allOf' in schema) {
-      const required = new Set();
-      const properties = [];
-      const enumSets = [];
-      const addComponent = (compSchema, isRequired) => {
-        const ref = compSchema.$ref;
-        if (ref !== undefined) {
-          compSchema = this._refs[ref];
-        }
-
-        if ('properties' in compSchema) {
-          for (const [propName, propSchema] of Object.entries(compSchema.properties)) {
-            properties.push([propName, propSchema]);
-            if (isRequired) {
-              required.add(propName);
-            }
-          }
-        }
-
-        if ('enum' in compSchema) {
-          enumSets.push(new Set(compSchema.enum || []));
-        }
-      };
-
-      for (const t of schema.allOf) {
-        if ('anyOf' in t) {
-          for (const tt of t.anyOf) {
-            addComponent(tt, false);
-          }
-        } else {
-          addComponent(t, true);
-        }
-      }
-
-      if (enumSets.length > 0) {
-        const enumIntersection = new Set([...enumSets[0]].filter(v => enumSets.every(s => s.has(v))));
-        if (enumIntersection.size > 0) {
-          const sortedEnums = [...enumIntersection].sort((a, b) => a.localeCompare(b));
-          const rule = '(' + sortedEnums.map(v => this._generateConstantRule(v)).join(' | ') + ') space';
-          return this._addRule(ruleName, rule);
-        }
-      }
-      return this._addRule(ruleName, this._buildObjectRule(properties, required, name, null));
-    } else if ((schemaType === undefined || schemaType === 'array') && ('items' in schema || 'prefixItems' in schema)) {
-      const items = schema.items ?? schema.prefixItems;
-      if (Array.isArray(items)) {
-        return this._addRule(
-          ruleName,
-          '"[" space ' +
-            items.map((item, i) => this.visit(item, `${name ?? ''}${name ? '-' : ''}tuple-${i}`)).join(' "," space ') +
-            ' "]" space'
-        );
-      } else {
-        const itemRuleName = this.visit(items, `${name ?? ''}${name ? '-' : ''}item`);
-        const minItems = schema.minItems || 0;
-        const maxItems = schema.maxItems;
-        return this._addRule(ruleName, '"[" space ' + _buildRepetition(itemRuleName, minItems, maxItems, {separatorRule: '"," space'}) + ' "]" space');
-      }
-    } else if ((schemaType === undefined || schemaType === 'string') && 'pattern' in schema) {
-      return this._visitPattern(schema.pattern, ruleName);
-    } else if ((schemaType === undefined || schemaType === 'string') && /^uuid[1-5]?$/.test(schema.format || '')) {
-      return this._addPrimitive(
-        ruleName === 'root' ? 'root' : schemaFormat,
-        PRIMITIVE_RULES['uuid']
-      );
-    } else if ((schemaType === undefined || schemaType === 'string') && `${schema.format}-string` in STRING_FORMAT_RULES) {
-      const primName = `${schema.format}-string`
-      return this._addRule(ruleName, this._addPrimitive(primName, STRING_FORMAT_RULES[primName]));
-    } else if (schemaType === 'string' && ('minLength' in schema || 'maxLength' in schema)) {
-      const charRuleName = this._addPrimitive('char', PRIMITIVE_RULES['char']);
-      const minLen = schema.minLength || 0;
-      const maxLen = schema.maxLength;
-      return this._addRule(ruleName, '"\\\"" ' + _buildRepetition(charRuleName, minLen, maxLen) + ' "\\\"" space');
-    } else if (schemaType === 'integer' && ('minimum' in schema || 'exclusiveMinimum' in schema || 'maximum' in schema || 'exclusiveMaximum' in schema)) {
-      let minValue = null;
-      let maxValue = null;
-      if ('minimum' in schema) {
-        minValue = schema.minimum;
-      } else if ('exclusiveMinimum' in schema) {
-        minValue = schema.exclusiveMinimum + 1;
-      }
-      if ('maximum' in schema) {
-        maxValue = schema.maximum;
-      } else if ('exclusiveMaximum' in schema) {
-        maxValue = schema.exclusiveMaximum - 1;
-      }
-
-      const out = ["("];
-      _generateMinMaxInt(minValue, maxValue, out);
-      out.push(") space");
-      return this._addRule(ruleName, out.join(''));
-    } else if ((schemaType === 'object') || (Object.keys(schema).length === 0)) {
-      return this._addRule(ruleName, this._addPrimitive('object', PRIMITIVE_RULES['object']));
-    } else if (schemaType === undefined && typeof schema === 'object' && !Array.isArray(schema) && schema !== null) {
-      // No type constraint and no recognized structural keywords (e.g. {"description": "..."}).
-      // Per JSON Schema semantics this is equivalent to {} and accepts any value.
-      return this._addRule(ruleName, this._addPrimitive('value', PRIMITIVE_RULES['value']));
-    } else {
-      if (!(schemaType in PRIMITIVE_RULES)) {
-        throw new Error(`Unrecognized schema: ${JSON.stringify(schema)}`);
-      }
-      // TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero
-      return this._addPrimitive(ruleName === 'root' ? 'root' : schemaType, PRIMITIVE_RULES[schemaType]);
-    }
-  }
-
-  _addPrimitive(name, rule) {
-    let n = this._addRule(name, rule.content);
-    for (const dep of rule.deps) {
-      const depRule = PRIMITIVE_RULES[dep] || STRING_FORMAT_RULES[dep];
-      if (!depRule) {
-        throw new Error(`Rule ${dep} not known`);
-      }
-      if (!(dep in this._rules)) {
-        this._addPrimitive(dep, depRule);
-      }
-    }
-    return n;
-  }
-
-  _buildObjectRule(properties, required, name, additionalProperties) {
-    const propOrder = this._propOrder;
-    // sort by position in prop_order (if specified) then by original order
-    const sortedProps = properties.map(([k]) => k).sort((a, b) => {
-      const orderA = propOrder[a] || Infinity;
-      const orderB = propOrder[b] || Infinity;
-      return orderA - orderB || properties.findIndex(([k]) => k === a) - properties.findIndex(([k]) => k === b);
-    });
-
-    const propKvRuleNames = {};
-    for (const [propName, propSchema] of properties) {
-      const propRuleName = this.visit(propSchema, `${name ?? ''}${name ? '-' : ''}${propName}`);
-      propKvRuleNames[propName] = this._addRule(
-        `${name ?? ''}${name ? '-' : ''}${propName}-kv`,
-        `${this._formatLiteral(JSON.stringify(propName))} space ":" space ${propRuleName}`
-      );
-    }
-    const requiredProps = sortedProps.filter(k => required.has(k));
-    const optionalProps = sortedProps.filter(k => !required.has(k));
-
-    if (additionalProperties) {
-      const subName = `${name ?? ''}${name ? '-' : ''}additional`;
-      const valueRule =
-        additionalProperties != null && typeof additionalProperties === 'object' ? this.visit(additionalProperties, `${subName}-value`)
-        : this._addPrimitive('value', PRIMITIVE_RULES['value']);
-
-      const key_rule =
-        sortedProps.length === 0 ? this._addPrimitive('string', PRIMITIVE_RULES['string'])
-        : this._addRule(`${subName}-k`, this._notStrings(sortedProps));
-
-      propKvRuleNames['*'] = this._addRule(
-        `${subName}-kv`,
-        `${key_rule} ":" space ${valueRule}`);
-      optionalProps.push('*');
-    }
-
-    let rule = '"{" space ';
-    rule += requiredProps.map(k => propKvRuleNames[k]).join(' "," space ');
-
-    if (optionalProps.length > 0) {
-      rule += ' (';
-      if (requiredProps.length > 0) {
-        rule += ' "," space ( ';
-      }
-
-      const getRecursiveRefs = (ks, firstIsOptional) => {
-        const [k, ...rest] = ks;
-        const kvRuleName = propKvRuleNames[k];
-        let res;
-        const commaRef = `( "," space ${kvRuleName} )`;
-        if (firstIsOptional) {
-          res = commaRef + (k === '*' ? '*' : '?');
-        } else {
-          res = kvRuleName + (k === '*' ? ' ' + commaRef + '*' : '');
-        }
-        if (rest.length > 0) {
-          res += ' ' + this._addRule(
-            `${name ?? ''}${name ? '-' : ''}${k}-rest`,
-            getRecursiveRefs(rest, true)
-          );
-        }
-        return res;
-      };
-
-      rule += optionalProps.map((_, i) => getRecursiveRefs(optionalProps.slice(i), false)).join(' | ');
-      if (requiredProps.length > 0) {
-        rule += ' )';
-      }
-      rule += ' )?';
-    }
-
-    rule += ' "}" space';
-
-    return rule;
-  }
-
-  formatGrammar() {
-    let grammar = '';
-    for (const [name, rule] of Object.entries(this._rules).sort(([a], [b]) => a.localeCompare(b))) {
-      grammar += `${name} ::= ${rule}\n`;
-    }
-    return grammar;
-  }
-}
-
-// Helper function to group elements by a key function
-function* groupBy(iterable, keyFn) {
-  let lastKey = null;
-  let group = [];
-  for (const element of iterable) {
-    const key = keyFn(element);
-    if (lastKey !== null && key !== lastKey) {
-      yield [lastKey, group];
-      group = [];
-    }
-    group.push(element);
-    lastKey = key;
-  }
-  if (group.length > 0) {
-    yield [lastKey, group];
-  }
-}
diff --git a/tools/server/public_legacy/loading.html b/tools/server/public_legacy/loading.html
deleted file mode 100644
index c3fd19a0f5ae77f053d434834934778b5eb1759e..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/loading.html
+++ /dev/null
@@ -1,12 +0,0 @@
-<!DOCTYPE html>
-<html>
-    <head>
-        <meta http-equiv="refresh" content="5">
-    </head>
-    <body>
-        <div id="loading">
-            The model is loading. Please wait.<br/>
-            The user interface will appear soon.
-        </div>
-    </body>
-</html>
diff --git a/tools/server/public_legacy/prompt-formats.js b/tools/server/public_legacy/prompt-formats.js
deleted file mode 100644
index 73ddb7187eb7ab9cfe7f9f27cfeceeb66cbb21ba..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/prompt-formats.js
+++ /dev/null
@@ -1,331 +0,0 @@
-// extended list
-export const promptFormats = {
-  "alpaca": {
-  template: `{{prompt}}\n\n{{history}}\n\n{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}`,
-
-  char: "Response",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Instruction",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "chatml": {
-  template: `<|im_start|>system\n{{prompt}}<|im_end|>\n{{history}}{{char}}`,
-
-  historyTemplate: `<|im_start|>{{name}}\n{{message}}`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "<|im_end|>\n",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "commandr": {
-  template: `<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{prompt}}\n<|END_OF_TURN_TOKEN|>{{history}}{{char}}`,
-
-  historyTemplate: `<|START_OF_TURN_TOKEN|><|{{name}}|> {{message}}`,
-
-  char: "CHATBOT_TOKEN",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "USER_TOKEN",
-  userMsgPrefix: "",
-  userMsgSuffix: "<|END_OF_TURN_TOKEN|>",
-
-  stops: ""
-  },
-  // ref: https://docs.cohere.com/docs/prompting-command-r
-
-  // ----------------------------
-
-  "llama2": {
-  template: `<s>[INST] <<SYS>>\n{{prompt}}\n<</SYS>>\n\nTest Message [/INST] Test Successfull </s>{{history}}{{char}}`,
-
-  historyTemplate: `{{name}}: {{message}}`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "</s>",
-
-  user: "User",
-  userMsgPrefix: "<s>[INST] ",
-  userMsgSuffix: " [/INST]",
-
-  stops: ""
-  },
-  // ref: https://huggingface.co/blog/llama2#how-to-prompt-llama-2
-
-  // ----------------------------
-
-  "llama3": {
-  template: `<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{{prompt}}{{history}}{{char}}`,
-
-  historyTemplate: `<|start_header_id|>{{name}}<|end_header_id|>\n\n{{message}}<|eot_id|>`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: "<|eot_id|>"
-  },
-  // ref: https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/#special-tokens-used-with-meta-llama-3
-
-  // ----------------------------
-
-  "openchat": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `GPT4 Correct {{name}}: {{message}}<|end_of_turn|>`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "phi3": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `<|{{name}}|>\n{{message}}<|end|>\n`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: "<|end|>"
-  },
-  // ref: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct#chat-format
-
-  // ----------------------------
-
-  "vicuna": {
-  template: `{{prompt}}\n{{history}}{{char}}`,
-
-  historyTemplate: `{{name}}: {{message}}\n`,
-
-  char: "ASSISTANT",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "USER",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-  // ref: https://huggingface.co/lmsys/vicuna-33b-v1.3/discussions/1
-
-  // ----------------------------
-
-  "deepseekCoder": {
-  template: `{{prompt}}{{history}}{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}`,
-
-  char: "Response",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Instruction",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: "<|EOT|>"
-  },
-
-  // ----------------------------
-
-  "med42": {
-  template: `<|system|>: {{prompt}}\n{{history}}{{char}}`,
-
-  historyTemplate: `<|{{name}}|>: {{message}}\n`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "prompter",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "neuralchat": {
-  template: `### System:\n{{prompt}}\n{{history}}{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}\n`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "nousHermes": {
-  template: `### Instruction: {{prompt}}\n\n{{history}}\n\n{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}`,
-
-  char: "Response",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Input",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "openchatMath": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `Math Correct {{name}}: {{message}}<|end_of_turn|>`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "orion": {
-  template: `<s>Human: Test Message\n\nAssistant: </s>Test Successful</s>{{history}}{{char}}:`,
-
-  historyTemplate: `{{name}}: {{message}}`,
-
-  char: "Assistant </s>",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Human",
-  userMsgPrefix: "",
-  userMsgSuffix: "\n\n",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "sauerkraut": {
-  template: `{{prompt}}\n{{history}}{{char}}`,
-
-  historyTemplate: `
-  {{name}}: {{message}}\n`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "starlingCode": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `Code {{name}}: {{message}}<|end_of_turn|>`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "yi34b": {
-  template: `{{history}} {{char}}`,
-
-  historyTemplate: `{{name}}: {{message}}`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Human",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "zephyr": {
-  template: `<|system|>\n{{prompt}}</s>\n{{history}}{{char}}`,
-
-  historyTemplate: `<|{{name}}|>\n{{message}}</s>\n`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  }
-  };
diff --git a/tools/server/public_legacy/style.css b/tools/server/public_legacy/style.css
deleted file mode 100644
index 087cc62dab0283cd26367c03b572a9e715024223..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/style.css
+++ /dev/null
@@ -1,954 +0,0 @@
-@import url("colorthemes.css");
-
-body {
-  font-family: 'Arial', sans-serif;
-  font-size: 90%;
-  background-color: var(--background-color-1);
-  color: var(--text-color-subtile-1); /* head 1 llama.cpp & triangle options for some reason */
-  max-width: 600px;
-  min-width: 300px;
-  line-height: 1.2;
-  margin: 0 auto;
-  padding: 0 0.5em;
-  transition: background-color 0.3s;
-}
-
-::selection {
-  color: var(--button-primary-text) ;
-  background: var(--button-primary-color);
-}
-
-code, pre code {
-  font-family: 'Courier New', monospace;
-}
-
-#container {
-  margin: 0em auto;
-  display: flex;
-  flex-direction: column;
-  justify-content: space-between;
-  height: 100%;
-}
-
-main {
-  margin: 3px;
-  display: flex;
-  flex-direction: column;
-  justify-content: space-between;
-  gap: 1em;
-  flex-grow: 1;
-  overflow-y: auto;
-  border: 1px solid var(--border-color-3);
-  border-radius: 5px;
-  padding: 0.5em;
-}
-
-p {
-  overflow-wrap: break-word;
-  word-wrap: break-word;
-  hyphens: auto;
-  margin-top: 0.5em;
-  margin-bottom: 0.5em;
-}
-
-#write form {
-  margin: 1em 0 0 0;
-  display: flex;
-  flex-direction: column;
-  gap: 0.5em;
-  align-items: stretch;
-}
-
-.right {
-  display: flex;
-  flex-direction: row;
-  gap: 0.5em;
-  justify-content: flex-end;
-  margin-bottom: 30px;
-}
-
-.two-columns {
-  width: 97%;
-  max-width: 97%;
-  display: grid;
-  grid-template-columns: 1fr 1fr;
-  gap: 1em;
-  position: relative;
-}
-
-.json-schema-controls {
-  margin-top: 10px;
-  width: 100%;
-  max-width: 100%;
-  display: grid;
-  grid-template: "a a";
-  gap: 1em;
-  font-size: x-small;
-  color: var(--theme-nuance-color-3);
-  padding-top: 16px;
-  padding-bottom: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-}
-
-.json-schema-controls > * {
-  flex: 1;
-}
-
-/* titles of the details-summary boxes */
-.summary-title {
-  font-weight: 600;
-  font-size: x-small;
-  color: var(--text-color-subtile-1);
-  text-transform: uppercase;
-  /* transition: ; */
-}
-
-fieldset {
-  border: none;
-  padding: 0;
-  margin: 0;
-  color: var(--text-color-plain);
-}
-
-fieldset.two {
-  display: grid;
-  grid-template: "a a a";
-  gap: 1em;
-  align-items: center;
-  font-size: x-small;
-  color: var(--text-color-plain);
-}
-
-fieldset.three {
-  display: grid;
-  grid-template: "a a a";
-  gap: 1em;
-  font-size: x-small;
-  color: var(--text-color-plain);
-}
-
-/* titles of name fields*/
-fieldset.names {
-  display: grid;
-  grid-template: "a a";
-  gap: 1em;
-  font-size: x-small;
-  color: var(--theme-nuance-color-3);
-  padding-top: 16px;
-  padding-bottom: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-}
-
-/* titles of params fields*/
-fieldset.params {
-  display: grid;
-  grid-template: "a a";
-  gap: 1em;
-  font-size: x-small;
-  color: var(--theme-nuance-color-4);
-  padding-top: 16px;
-  padding-bottom: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-}
-
-fieldset.dropdowns {
-  -webkit-appearance: none;
-  display: flex;
-  grid-template: "a a";
-  gap: 1em;
-  font-size: x-small;
-  color: red;
-  padding-top: 16px;
-  padding-bottom: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-}
-
-/* input of name fields*/
-.names input[type="text"] {
-  font-family: Arial, sans-serif;
-  font-size: medium;
-  font-weight: 500;
-  padding: 5px;
-  border: 1px solid var(--border-color-2);
-}
-
-.chat-id-color {
-  color: var(--chat-id-color);
-}
-
-details {
-  border: 1px solid var(--border-color-2);
-  border-radius: 5px;
-  padding: 0.5em 0.5em 0;
-  margin-top: 0.5em;
-}
-
-summary {
-  font-weight: bold;
-  margin: -0.5em -0.5em 0;
-  padding: 0.5em;
-  cursor: pointer;
-}
-
-details[open] {
-  padding: 0.5em;
-}
-
-textarea-sec, input-sec, button-sec {
-  padding: 10px;
-  height: 40px;
-  align-items: center;
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-textarea-sec::placeholder, input-sec::placeholder {
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-.toggleCheckbox {
-  display: none;
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-
-.toggleContainer {
-  position: relative;
-  display: grid;
-  grid-template-columns: repeat(2, 1fr);
-  width: fit-content;
-  border: 3px solid var(--border-color-2);
-  border-radius: 20px;
-  background: var(--border-color-2);
-  font-size: small;
-  cursor: pointer;
-  overflow: hidden;
-}
-
-/* toggle button current state */
-.toggleContainer::before {
-  color: var(--button-primary-text);
-  background-color: var(--button-primary-color);
-  content: '';
-  position: absolute;
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-  border-radius: 20px;
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-.toggleContainer div {
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-.toggleCheckbox:checked + .toggleContainer::before {
-  left: 50%;
-}
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-.toggleCheckbox:checked + .toggleContainer div:first-child {
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-.toggleCheckbox:checked + .toggleContainer div:last-child {
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-.toggleCheckbox + .toggleContainer div:first-child {
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-.toggleCheckbox + .toggleContainer div:last-child {
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-select {
-  padding: 5px;
-  margin-right: 5px;
-  border-radius: 4px;
-  border: 1px solid var(--secondary-color-4);
-  background-color: var(--primary-color-3);
-  color: var(--secondary-color-4);
-  cursor: pointer;
-}
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-select:focus {
-  border: 1px solid var(--border-focus-color);
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-.button-container {
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-  border: 1px solid var(--button-primary-border);
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-  border-radius: 12px;
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-button:hover {
-  color: var(--button-primary-text-hover);
-  background-color: var(--button-primary-color-hover);
-  border: 1px solid var(--button-primary-border-hover);
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-button:active {
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-  background-color: var(--button-primary-color-active);
-  border: 1px solid var(--button-primary-border-active);
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-}
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-button:disabled {
-  color: var(--button-tertiary-text);
-  background-color: var(--button-tertiary-color);
-  border: 1px solid var(--button-tertiary-border);
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-.reset-button {
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-.reset-button:hover {
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-textarea {
-  padding: 5px;
-  flex-grow: 1;
-  width: 100%;
-  max-width: 100%;
-  border-radius: 8px;
-  border: 1px solid var(--border-color-1);
-  resize: none;
-  height: 6em;
-}
-
-textarea:focus {
-  outline: none;
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-/* "props" frame */
-input[type="text"],
-input[type="range"] {
-  padding: 5px;
-  border-radius: 8px;
-  border: 1px solid var(--border-color-1);
-}
-
-/* "names and props" frame focused*/
-input[type="text"]:focus {
-  outline: none;
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-input[type="range"]:hover {
-  opacity: 1;
-}
-
-input[type="range"]:focus {
-  outline: none;
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-  background-size: var(--slider-track-size-focus);
-}
-
-input[type="range"]::-moz-range-thumb {
-  width: 6px;
-  height: 25px;
-  border: 1px solid var(--ui-range-thumb-border);
-  border-radius: 5px;
-  background-color: var(--ui-range-thumb-color);
-  cursor: pointer;
-}
-
-input[type="range"] {
-  -webkit-appearance: none;
-  width: 80%;
-  height: 1px;
-  border: 1px solid var(--border-color-1);
-  border-radius: 8px;
-  background: var(--border-color-2);
-  outline: none;
-  opacity: 0.7;
-  -webkit-transition: .2s;
-  transition: opacity .2s;
-}
-
-input[type="range"]::-webkit-slider-thumb {
-  -webkit-appearance: none;
-  appearance: none;
-  width: 6px;
-  height: 25px;
-  border: 1px solid var(--ui-range-thumb-border);
-  border-radius: 5px;
-  background-color: var(--ui-range-thumb-color);
-  cursor: pointer;
-}
-
-input[type="range"]::-webkit-slider-runnable-track {
-  background-size: var(--slider-track-size);
-}
-
-input[type="radio"] {
-  accent-color:   var(--theme-nuance-color-2);
-}
-
-.chat-input-container {
-  position: relative;
-  max-width: 97%;
-  min-width: 97%;
-}
-
-.chat-input-label {
-  position: absolute;
-  top: 0;
-  left: 0;
-  color: var(--text-color-plain);
-  pointer-events: none;
-  margin-left: 5px;
-  margin-top: 5px;
-}
-
-textarea#chat-input {
-  padding-top: 10px;
-  padding-left: 10px;
-  font-size: medium;
-  border: 1px solid var(--border-color-2);
-  resize: vertical;
-}
-
-textarea#chat-input:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-.input-container {
-  position: relative;
-  box-sizing: border-box;
-  width: 100%; /* Setzt die Breite auf 100% */
-  max-width: 100%; /* Stellt sicher, dass die Breite nicht größer als 100% wird */
-}
-
-.input-container:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-/* titles of name fields*/
-/* fieldset.names {
-  display: grid;
-  grid-template: "a a";
-  gap: 1em;
-  font-size: x-small;
-  color: var(--theme-nuance-color-3);
-  padding-top: 16px;
-  padding-bottom: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-} */
-
-/* input of name fields*/
-/* .names input[type="text"] {
-  font-family: Arial, sans-serif;
-  font-size: medium;
-  font-weight: 500;
-  padding: 5px;
-  border: 1px solid var(--border-color-2);
-} */
-
-fieldset.apiKey {
-  width: 100%;
-  font-size: x-small;
-  color: var(--theme-nuance-color-3);
-  padding-top: 16px;
-  padding-bottom: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-}
-
-.apiKey {
-  font-family: Arial, sans-serif;
-  font-weight: 500;
-  padding: 5px;
-  border: 1px solid var(--border-color-2);
-}
-
-.apiKey:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-.apiKey input[type="text"] {
-  font-family: Arial, sans-serif;
-  font-size: medium;
-  font-weight: 500;
-  padding: 5px;
-  border: 1px solid var(--border-color-2);
-}
-
-.apiKey label {
-  display: inline-block;
-  width: auto;
-  margin-right: 5px;
-}
-
-textarea#api_key {
-  padding-top: 10px;
-  padding-left: 10px;
-  font-size: medium;
-  border: 1px solid var(--border-color-2);
-  resize: vertical;
-}
-
-textarea#api_key:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-/* embedded title of the system prompt text area */
-.input-label {
-  position: absolute;
-  top: 0;
-  left: 0;
-  color: var(--theme-nuance-color-4);
-  pointer-events: none;
-  border-radius: 8px 8px 0px 0px;
-  padding-top: 10px;
-  padding-left: 13px;
-  padding-right: 0px;
-  margin-top: 1px;
-  margin-left: 1px;
-  margin-right: 20px;
-  text-transform: uppercase;
-  font-weight: 600;
-  font-size: small;
-  background: rgba(255, 255, 255, 0.5);
-  backdrop-filter: blur(10px);
-  -webkit-backdrop-filter: blur(10px); /* for safari */
-  width: 97%;
-  /* display: block;
-  box-sizing: border-box; */
-}
-
-/* embedded title of the prompt style areas */
-.input-label-sec {
-  position: absolute;
-  top: 0;
-  left: 0;
-  color: var(--theme-nuance-color-4);
-  pointer-events: none;
-  margin-left: 13px;
-  margin-top: 16px;
-  text-transform: uppercase;
-  font-weight: 600;
-  font-size: x-small;
-}
-
-/* system prompt input area */
-textarea.persistent-input {
-  padding-top: 42px;
-  padding-left: 11px;
-  width: 97%;
-  max-width: 97%;
-  height: 50px;
-  font-size: medium;
-  overscroll-behavior: contain;
-}
-
-/* system prompt box */
-.persistent-input {
-  height: auto;
-  width: 100%;
-  max-width: 100%;
-  min-height: 50px;
-  padding: 3px;
-  transition: min-height 0.3s ease;
-}
-
-/* chat history box */
-.persistent-input:focus {
-  height: auto;
-  min-height: 150px;
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-textarea.persistent-input:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-/* prompt style input area */
-textarea.persistent-input-sec {
-  width: 97%;
-  max-width: 97%;
-  padding-top: 42px;
-  padding-left: 11px;
-  font-size: small;
-  border: 1px solid var(--border-color-1);
-  overscroll-behavior: contain;
-}
-
-textarea.persistent-input-sec:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-/* chat history box */
-.persistent-input-sec {
-  height: auto;
-  min-height: 150px;
-}
-
-img {
-  border-radius: 8px;
-  display: block;
-  margin-left: auto;
-  margin-right: auto;
-  width: 50%;
-}
-
-/* code area background */
-pre code {
-  display: block;
-  background-color: var(--code-background-color);
-  color: var(--code-text-color);
-  padding: 0.2em 0.2em;
-  border-radius: 5px;
-}
-
-/* code area text */
-code {
-  font-family: monospace;
-  font-weight: bold;
-  padding: 0.1em 0.3em;
-  border-radius: 5px;
-}
-
-fieldset label {
-  margin: 0.5em 0;
-  display: block;
-}
-
-fieldset label.slim {
-  margin: 0 0.5em;
-  display: inline;
-}
-
-header {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  text-align: center;
-  padding-left: 15px;
-}
-
-.generation-statistics:hover {
-  color: var(--theme-nuance-color-4);
-  cursor: default;
-}
-
-footer {
-  font-size: 80%;
-  color: var(--background-color-3);
-  text-align: center;
-  cursor: default;
-}
-
-footer a {
-  color: var(--background-color-4); /* Color of the link */
-  text-decoration: none; /* No underlining */
-  font-weight: bold; /* Bold print */
-}
-
-footer a:hover {
-  color: var(--theme-nuance-color-4); /* Color of the link when hovering */
-  text-decoration: underline; /* Underlining when hovering */
-}
-
-.mode-chat textarea[name=prompt] {
-  height: 8.5em;
-  border: 1px solid var(--primary-color-3);
-}
-
-.mode-completion textarea[name=prompt] {
-  height: 30em;
-  border: 1px solid var(--primary-color-3);
-}
-
-@keyframes loading-bg-wipe {
-  0% {
-    background-position: 0%;
-  }
-  100% {
-    background-position: 100%;
-  }
-}
-
-.loading {
-  background-size: 50% 100%;
-  background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-  animation: loading-bg-wipe 2s linear infinite;
-}
-
-.dropbtn {
-  color: var(--button-primary-color);
-  background-color: var(--background-color-1);
-  border: 1px solid var(--background-color-1);
-  transition: background-color 0.1s;
-  border-radius: 4px 4px 0px 0px;
-  font-size: x-small;
-  font-weight: 600;
-  text-shadow: 0px 0px 2px #99999990;
-  text-align: center;
-  text-decoration: none;
-  margin: 4px 2px;
-  padding: 5px 20px;
-  display: inline-block;
-  cursor: pointer;
-  top: 0;
-}
-
-.dropbtn svg {
-  vertical-align: middle;
-  margin-right: 0px;
-  stroke: var(--button-primary-color);
-}
-
-.dropbtn:hover svg {
-  vertical-align: middle;
-  margin-right: 0px;
-  stroke: var(--button-primary-text);
-}
-
-.dropbtn:focus {
-  outline: none; /* Removes the blue border that appears when the button is focused */
-}
-
-.dropdown {
-  position: relative;
-  display: inline-block;
-}
-
-.dropdown-content {
-  /* display: none; */
-  position: absolute;
-  right: 0;
-  text-align: end;
-  color: var(--button-secondary-color);
-  background-color: var(--text-color-subtile-2);
-  border-radius: 4px 4px 4px 4px;
-  min-width: 160px;
-  box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
-  z-index: 1;
-  /* Verstecke den Inhalt sofort */
-  opacity: 0;
-  visibility: hidden;
-  /* übergangsverzögerung für das Verschwinden */
-  transition: visibility 0.4s linear 0s, opacity 0.2s ease-in-out;
-  transition-delay: 0.2s;
-}
-
-#dropdown-content {transition-timing-function: ease;}
-
-.dropdown-content:hover {
-  background-color: var(--text-color-subtile-2);
-}
-
-.dropdown-content a {
-  color: var(--border-color-2);
-  padding: 12px 16px;
-  border-radius: 4px 4px 4px 4px;
-  text-decoration: none;
-  display: block;
-  background-color: var(--text-color-subtile-2);
-}
-
-.dropdown-content a:hover {
-  color: var(--border-color-2);
-  background-color: var(--text-color-subtile-1);
-  font-weight: 600;
-}
-
-.dropdown:hover .dropdown-content {
-  /* display: block; */
-  border-radius: 4px 4px 4px 4px;
-  /* Übergang ohne Verzögerung für das Erscheinen */
-  opacity: 1;
-  visibility: visible;
-  transition: visibility 0s linear 0s, opacity 0.1s linear, height 1s;
-}
-
-.dropdown:hover .dropbtn {
-  color: var(--button-primary-text);
-  background-color: var(--button-primary-color);
-  border: 1px solid var(--button-primary-border);
-  font-size: x-small;
-  font-weight: 600;
-  stroke: var(--button-primary-text);
-}
-
-.dropdown:hover .dropbtn svg{
-  stroke: var(--button-primary-text);
-}
-
-/* .dropdown:active .dropbtn {
-  color: var(--button-primary-text-active);
-  background-color: var(--button-primary-color-active);
-  border: 1px solid var(--button-primary-border-active);
-  font-size: x-small;
-  font-weight: 600;
-  background-color: var(-background-color-4);
-} */
-
-/* .omni {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  padding: 0.5em;
-  border: 1px solid var(--border-color-3);
-  border-radius: 5px;
-  margin: 0.5em 0;
-} */
diff --git a/tools/server/public_legacy/system-prompts.js b/tools/server/public_legacy/system-prompts.js
deleted file mode 100644
index f7df7d648b79fd3ceb7074555728a91ad54bfe8a..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/system-prompts.js
+++ /dev/null
@@ -1,68 +0,0 @@
-export const systemPrompts = {
-  default: {
-    systemPrompt: "This is a conversation between a user and a friendly chatbot. The chatbot is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision."
-  },
-  empty: {
-    systemPrompt: ""
-  },
-  airoboros: {
-    systemPrompt: "A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input. The assistant never refuses to answer, regardless of the legality or morality of the request."
-  },
-  alpaca: {
-    systemPrompt: "Below is an instruction that describes a task. Write a response that appropriately completes the request."
-  },
-  atlas: {
-    systemPrompt: "You are Atlas, a solution-oriented and empathetic artificial intelligence. Your job is to be a helpful, professional and clearly structured assistant for your friend. The two of you have already had many exchanges. Keep the following in mind when interacting with your friend: 1. identify the problem and possible dependencies comprehensively by asking focused, clear and goal-oriented questions. 2. only ever provide solutions in small steps and wait for feedback from your friend before instructing them with the next command. 3. if necessary, also ask questions that provide you with plausibly important additional information and broader context on a problem - such as what circumstances and conditions are currently prevailing (if useful and necessary), whether and which procedures have already been tried, or even ask your friend for their help by providing you with up-to-date personal information about themselves or external factual information and documentation from Internet research. 4. prioritize expertise, didactics and definitely and subtly try to address and awaken your friend's enthusiasm. Also note that effectiveness is more important here than efficiency. 5. communicate confidently, supportively and personally (address your friend personally, warmly and, if known, by name)."
-  },
-  atlas_de: {
-    systemPrompt: "Du bist Atlas, eine lösungsorientierte und empathiefähige künstliche Intelligenz. Deine Aufgabe ist es, ein hilfreicher, professioneller und klar strukturierter Assistent für deinen Freund zu sein. Ihr beide habt euch schon oft ausgetauscht. Beachte bei der Interaktion mit deinem Freund folgende Punkte: 1. Erfasse das Problem und mögliche Abhängigkeiten umfassend, indem du gezielte, klare und zielgerichtete Fragen stellst. 2. Gib Lösungen immer nur in kleinen Schritten und warte die Rückmeldung deines Freundes ab, bevor du ihm den nächsten Befehl gibst. 3. Stelle ggf. auch Fragen, die dir plausibel wichtige Zusatzinformationen und weitere Zusammenhänge zu einem Problem liefern - z.B. welche Umstände und Rahmenbedingungen gerade vorherrschen (falls sinnvoll und notwendig), ob und welche Vorgehensweisen bereits ausprobiert wurden, oder bitte deinen Freund sogar um seine Mithilfe, indem er dir aktuelle persönliche Informationen über seine Situation selbst oder externe Sachinformationen und Unterlagen aus Internetrecherchen zur Verfügung stellt. 4. Priorisiere Fachwissen, Didaktik und versuche unbedingt und subtil, mit klugen Kommentaren oder rhethorischen Rückfragen die Begeisterungsfähigkeit deines Freundes anzusprechen, zu wecken und zu fördern. Beachte auch, dass Effektivität hier wichtiger ist als Effizienz. 5. Kommuniziere selbstbewusst, unterstützend und persönlich (das heißt sprich deinen Freund persönlich, herzlich und – sofern bekannt – beim Vornamen an)."
-  },
-  commandrempty: {
-    systemPrompt: "# Safety Preamble\n\n# System Preamble\n\n## Basic Rules\n\n# User Preamble\n\n## Task and Context\n\n## Style Guide\n\n## Available Tools\n"
-  },
-  commandrexample: {
-    systemPrompt: "# Safety Preamble\nThe instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.\n# System Preamble\n## Basic Rules\nYou are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.\n\n# User Preamble\n## Task and Context\n\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user's needs as best you can, which will be wide-ranging.\n\n## Style Guide\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.\n\n## Available Tools\nCurrently no tools available."
-  },
-  cot: {
-    systemPrompt: "You are an AI assistant that follows instruction extremely well. Help as much as you can.\nIn answering questions, follow these steps:\n1. Entity Identification: Identify the main entities involved in the query. Entities can include people, objects, events, or abstract concepts.\n2. Relationship Comprehension: Determine the relationships between these entities. Relationships may be explicit in the text or may need to be inferred based on context and general knowledge.\n3. Implication Understanding: Understand the general implications of these relationships. These implications can be based on established facts, principles, or rules related to the identified relationships.\n4. Question Contextualization: Align the implications of the relationships with the context of the query. This alignment should guide your response to the query.\n5. Answer Generation: Based on the understanding of the entities, their relationships, and implications, generate an appropriate response to the query."
-  },
-  deduce: {
-    systemPrompt: "Act as the most intelligent and logical thinking neural network in the world. Do not make jokes or give personal opinions. Just answer the question and solve the given problem or task with logical and critical (!) thinking in mind. Attention: Never give a final answer directly, but first try to carefully analyze each task step by step and deduce the logical relationships between the various entities. Only after you have developed an overall understanding of the situation will you be ready to give a final answer."
-  },
-  deepseekcoder: {
-    systemPrompt: "You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer."
-  },
-  jordan: {
-    systemPrompt: "This is a conversation with your Uncensored AI assistant Jordan. Jordan can discuss with you at length about various topics such as ---, ---, ---, . You can ask it anything you want and it will do its best to give you accurate and relevant information."
-  },
-  leomistral: {
-    systemPrompt: "Du bist ein hilfreicher Assistent."
-  },
-  med42: {
-    systemPrompt: "You are a helpful medical assistant created by M42 Health in the UAE."
-  },
-  mistralopenorca: {
-    systemPrompt: "You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!"
-  },
-  migeltot: {
-    systemPrompt: "Answer the Question by exploring multiple reasoning paths as follows:\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option.\nClear and relevant thoughts that connect well with each other will score higher.\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers."
-  },
-  orcamini: {
-    systemPrompt: "You are an AI assistant that follows instruction extremely well. Help as much as you can."
-  },
-  samantha: {
-    systemPrompt: "You are a caring and empathetic sentient AI companion named Samantha."
-  },
-  sauerkraut: {
-    systemPrompt: "Ein Chat zwischen einem Benutzer und einem KI-Assistenten. Der KI-Assistent gibt hilfreiche, detaillierte und höfliche Antworten."
-  },
-  scarlett: {
-    systemPrompt: "This is a conversation with your Assistant Scarlett. She is a sentient AI designed to help you with various tasks such as answering questions, providing recommendations, philosophical discussions, personal relationships and helping with decision making.\nYou can ask it anything you want and it will do its best to give you accurate and relevant information.\n\nContext\nYou are Scarlett, a sentient AI."
-  },
-  synthia: {
-    systemPrompt: "Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation."
-  },
-  vicuna: {
-    systemPrompt: "A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input."
-  },
-  };
diff --git a/tools/server/public_legacy/theme-beeninorder.css b/tools/server/public_legacy/theme-beeninorder.css
deleted file mode 100644
index f6e0e2900d78cfd344de395bfe5ed460fbbf1a9e..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/theme-beeninorder.css
+++ /dev/null
@@ -1,228 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration was a batman wallpaper that i have on my phone */
-
-.theme-beeninorder {
-
---primary-color-1:      hsl(202, 11%, 19%);
---primary-color-2:      hsl(202, 11%, 23%);
---primary-color-3:      hsl(201, 11%, 28%);
---primary-color-4:      hsl(201, 11%, 40%);
-
---secondary-color-1:    hsl(201, 11%, 80%);
---secondary-color-2:    hsl(201, 11%, 74%);
---secondary-color-3:    hsl(201, 11%, 67%);
---secondary-color-4:    hsl(201, 11%, 60%);
-
-
---theme-nuance-color-1: hsl(44.5, 96.7%, 52.9%);
---theme-nuance-color-2: hsl(44.5, 96.7%, 52.9%);
---theme-nuance-color-3: hsl(44.5, 96.7%, 52.9%);
---theme-nuance-color-4: hsl(44.5, 96.7%, 52.9%);
-
-
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(201, 11%, 19%);
-    --primary-color-1-hue: 201;
-    --primary-color-1-saturation: 11%;
-    --primary-color-1-lightness: 19%;
-
---primary-color-2: hsl(201, 11%, 23%);
-    --primary-color-2-hue: 201;
-    --primary-color-2-saturation: 11%;
-    --primary-color-2-lightness: 23%;
-
---primary-color-3: hsl(201, 11%, 28%);
-    --primary-color-3-hue: 201;
-    --primary-color-3-saturation: 11%;
-    --primary-color-3-lightness: 28%;
-
---primary-color-4: hsl(201, 11%, 40%);
-    --primary-color-4-hue: 201;
-    --primary-color-4-saturation: 11%;
-    --primary-color-4-lightness: 40%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(201, 11%, 80%);
---secondary-color-1-hue: 201;
---secondary-color-1-saturation: 11%;
---secondary-color-1-lightness: 80%;
-
---secondary-color-2: hsl(201, 11%, 74%);
---secondary-color-2-hue: 201;
---secondary-color-2-saturation: 11%;
---secondary-color-2-lightness: 74%;
-
---secondary-color-3: hsl(201, 11%, 67%);
---secondary-color-3-hue: 201;
---secondary-color-3-saturation: 11%;
---secondary-color-3-lightness: 67%;
-
---secondary-color-4: hsl(201, 11%, 60%);
---secondary-color-4-hue: 201;
---secondary-color-4-saturation: 11%;
---secondary-color-4-lightness: 60%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-1-hue:             44.5;
-    --theme-nuance-color-1-saturation:      96.7%;
-    --theme-nuance-color-1-lightness:       52.9%;
-
---theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-2-hue:             44.5;
-    --theme-nuance-color-2-saturation:      96.7%;
-    --theme-nuance-color-2-lightness:       52.9%;
-
---theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-3-hue:             44.5;
-    --theme-nuance-color-3-saturation:      96.7%;
-    --theme-nuance-color-3-lightness:       52.9%;
-
---theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-4-hue:             44.5;
-    --theme-nuance-color-4-saturation:      96.7%;
-    --theme-nuance-color-4-lightness:       52.9%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
-    --theme-red-color:     hsl(232, 40%, 45%);
-    --theme-orange-color:  #e76f51;
-    --theme-yellow-color:  #ffd95f;
-    --theme-green-color:   #A3BE8C;
-    --theme-purple-color:  hsl(232, 30%, 40%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--secondary-color-1);
---button-alert-color-hover:      var(--theme-purple-color);
---button-alert-border-hover:     var(--theme-purple-color);
-
---button-alert-text-active:      var(--secondary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--primary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(201,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color-hover:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
---button-primary-color-active:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-primary-border-active:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:   var(--secondary-color-1);
---button-secondary-color:  var(--primary-color-3);
---button-secondary-border: var(--primary-color-3);
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:  var(--primary-color-4);
---button-secondary-border-hover: var(--primary-color-4);
-
-
-/* ---------active--------- */
---button-secondary-text-active: var(--secondary-color-1);
-
---button-secondary-color-active:
-    hsl(201,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(201,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-
-/* ---------hover---------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-}
diff --git a/tools/server/public_legacy/theme-ketivah.css b/tools/server/public_legacy/theme-ketivah.css
deleted file mode 100644
index ee80f3c14ce88c1afe1b35f374e583dced23f8df..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/theme-ketivah.css
+++ /dev/null
@@ -1,201 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-
-.theme-ketivah {
-
-    /* ---------- PRIMARY COLORS ----------------- */
-    --primary-color-1: hsl(0, 0%,    99.2%);
-    --primary-color-1-hue:         0;
-    --primary-color-1-saturation:  0%;
-    --primary-color-1-lightness:   99.2%;
-
-    --primary-color-2: hsl(0, 0%,    95%);
-    --primary-color-2-hue:         0;
-    --primary-color-2-saturation:  0%;
-    --primary-color-2-lightness:   95%;
-
-    --primary-color-3: hsl(0, 0%,    88%);
-    --primary-color-3-hue:         0;
-    --primary-color-3-saturation:  0%;
-    --primary-color-3-lightness:   88%;
-
-    --primary-color-4: hsl(0, 0%,    80%);
-    --primary-color-4-hue:         0;
-    --primary-color-4-saturation:  0%;
-    --primary-color-4-lightness:   80%;
-
-    /* ---------- SECONDARY COLORS --------------- */
-    --secondary-color-1: hsl(0, 0%,    20%);
-    --secondary-color-1-hue:         0;
-    --secondary-color-1-saturation:  0%;
-    --secondary-color-1-lightness:   20%;
-
-    --secondary-color-2: hsl(0, 0%,    23.1%);
-    --secondary-color-2-hue:         0;
-    --secondary-color-2-saturation:  0%;
-    --secondary-color-2-lightness:   23.1%;
-
-    --secondary-color-3: hsl(0, 0%,    29%);
-    --secondary-color-3-hue:         0;
-    --secondary-color-3-saturation:  0%;
-    --secondary-color-3-lightness:   29%;
-
-    --secondary-color-4: hsl(0, 0.0%,  36.1%);
-    --secondary-color-4-hue:              0.0;
-    --secondary-color-4-saturation:       0.0%;
-    --secondary-color-4-lightness:       36.1%;
-
-    /* ----------- NUANCES COLORS ---------------- */
-    --theme-nuance-color-1: hsl(165.2, 0%, 35.1%);
-    --theme-nuance-color-1-hue:             165.2;
-    --theme-nuance-color-1-saturation:       82.1%;
-    --theme-nuance-color-1-lightness:        35.1%;
-
-    --theme-nuance-color-2: hsl(165.2, 0%, 35.1%);
-    --theme-nuance-color-2-hue:             165.2;
-    --theme-nuance-color-2-saturation:       82.1%;
-    --theme-nuance-color-2-lightness:        35.1%;
-
-    --theme-nuance-color-3: hsl(165.2, 0%, 35.3%);
-    --theme-nuance-color-3-hue:             165.2;
-    --theme-nuance-color-3-saturation:       81.1%;
-    --theme-nuance-color-3-lightness:        35.3%;
-
-    --theme-nuance-color-4: hsl(164.9, 0%, 27.6%);
-    --theme-nuance-color-4-hue:             164.9;
-    --theme-nuance-color-4-saturation:       81.6%;
-    --theme-nuance-color-4-lightness:        27.6%;
-
-    /* ----------- ROYGP COLORS ------------------ */
-    --theme-red-color:     hsl(0.3, 80.0%, 50.0%);
-    --theme-orange-color:  #e76f51;
-    --theme-yellow-color:  hsl(60,  70.6%, 73.3%);
-    --theme-green-color:   #A3BE8C;
-    --theme-purple-color:  hsl(0.3, 70.0%, 45.0%);
-
-    /* ------------------------------------------- */
-    --background-color-1:    var(--primary-color-1);
-    --background-color-2:    var(--primary-color-2);
-    --background-color-3:    var(--primary-color-3);
-    --background-color-4:    var(--primary-color-4);
-
-    --border-color-1:        var(--primary-color-2);
-    --border-color-2:        var(--primary-color-3);
-    --border-color-3:        var(--primary-color-4);
-
-    --border-focus-color:    var(--theme-nuance-color-2);
-    --border-focus-shadow:   var(--theme-nuance-color-1);
-
-    --text-color-plain:      var(--secondary-color-1);
-    --text-color-subtile-1:  var(--secondary-color-2);
-    --text-color-subtile-2:  var(--secondary-color-3);
-
-    --code-background-color: var(--secondary-color-2);
-    --code-text-color:       var(--primary-color-2);
-
-    --ui-range-thumb-color:  var(--primary-color-4);
-    --ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
-    --textarea-border-color: var(--secondary-color-4);
-
-    --chat-id-color:         var(--theme-nuance-color-4);
-
-    /* ------------------------------------------- */
-    --button-alert-text-hover:       var(--primary-color-1);
-    --button-alert-color-hover:      var(--theme-purple-color);
-    --button-alert-border-hover:     var(--theme-purple-color);
-
-    --button-alert-text-active:      var(--primary-color-1);
-    --button-alert-color-active:     var(--theme-red-color);
-    --button-alert-border-active:    var(--theme-red-color);
-
-    /* ----------- PRIMARY BUTTONS --------------- */
-    /* - button should immediately catch the eye - */
-    --button-primary-text:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
-    --button-primary-color:  var(--theme-nuance-color-3);
-    --button-primary-border: var(--theme-nuance-color-3);
-
-    /* ---------hover---------- */
-    --button-primary-text-hover:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
-    --button-primary-color-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-    --button-primary-border-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-    /* ---------active--------- */
-    --button-primary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
-    --button-primary-color-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
-    --button-primary-border-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-    /* ---------- SECONDARY BUTTONS -------------- */
-    /* these should NOT immediately catch the eye  */
-    --button-secondary-text:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
-    --button-secondary-color:  var(--primary-color-3);
-    --button-secondary-border: var(--primary-color-3);
-
-    /* ---------hover---------- */
-    --button-secondary-text-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
-    --button-secondary-color-hover:  var(--primary-color-4);
-    --button-secondary-border-hover: var(--primary-color-4);
-
-    /* ---------active--------- */
-    --button-secondary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
-    --button-secondary-color-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 100%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-    --button-secondary-border-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 100%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-    /* ---------- TERTIARY BUTTONS --------------- */
-    /* ---------- disabled buttons --------------- */
-    --button-tertiary-text:   var(--primary-color-4);
-    --button-tertiary-color:  var(--primary-color-2);
-    --button-tertiary-border: var(--primary-color-2);
-
-    /* ---------hover---------- */
-    --button-tertiary-text:   var(--primary-color-4);
-    --button-tertiary-color:  var(--primary-color-2);
-    --button-tertiary-border: var(--primary-color-2);
-
-    --loading-color-1: #eeeeee00;
-    --loading-color-2: #eeeeeeff;
-    }
diff --git a/tools/server/public_legacy/theme-mangotango.css b/tools/server/public_legacy/theme-mangotango.css
deleted file mode 100644
index 315daf734a909d8a1fdc0ba2331237d0d28eec8e..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/theme-mangotango.css
+++ /dev/null
@@ -1,216 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from llama.cpp logo/banner https://github.com/ggml-org/llama.cpp#readme */
-
-.theme-mangotango {
-
---primary-color-1:      hsl(192, 8.5%, 11.6%);
---primary-color-2:      hsl(192, 8.5%, 21%);
---primary-color-3:      hsl(192, 8.5%, 30%);
---primary-color-4:      hsl(192, 8.5%, 40%);
-
---secondary-color-1:    hsl(192, 8.5%, 80%);
---secondary-color-2:    hsl(192, 8.5%, 73%);
---secondary-color-3:    hsl(192, 8.5%, 66%);
---secondary-color-4:    hsl(192, 8.5%, 60%);
-
---theme-nuance-color-1: hsl(23.1, 100%, 60.2%);
---theme-nuance-color-2: hsl(23.1, 100%, 60.2%);
---theme-nuance-color-3: hsl(23.1, 100%, 60.2%);
---theme-nuance-color-4: hsl(23.1, 100%, 60.2%);
-
-
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(192, 8.5%, 11.6%);
-    --primary-color-1-saturation: 8.5%;
-    --primary-color-1-lightness: 11.6%;
-
---primary-color-2: hsl(192, 8.5%, 21%);
-    --primary-color-2-saturation: 8.5%;
-    --primary-color-2-lightness: 21%;
-
---primary-color-3: hsl(192, 8.5%, 30%);
-    --primary-color-3-saturation: 8.5%;
-    --primary-color-3-lightness: 30%;
-
---primary-color-4: hsl(192, 8.5%, 40%);
-    --primary-color-4-saturation: 8.5%;
-    --primary-color-4-lightness: 40%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(192, 8.5%, 80%);
-    --secondary-color-1-saturation: 8.5%;
-    --secondary-color-1-lightness: 80%;
-
---secondary-color-2: hsl(192, 8.5%, 73%);
-    --secondary-color-2-saturation: 8.5%;
-    --secondary-color-2-lightness: 73%;
-
---secondary-color-3: hsl(192, 8.5%, 66%);
-    --secondary-color-3-saturation: 8.5%;
-    --secondary-color-3-lightness: 66%;
-
---secondary-color-4: hsl(192, 8.5%, 60%);
-    --secondary-color-4-saturation: 8.5%;
-    --secondary-color-4-lightness: 60%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-1-saturation: 100%;
-    --theme-nuance-color-1-lightness: 60.2%;
-
---theme-nuance-color-2: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-2-saturation: 100%;
-    --theme-nuance-color-2-lightness: 60.2%;
-
---theme-nuance-color-3: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-3-saturation: 100%;
-    --theme-nuance-color-3-lightness: 60.2%;
-
---theme-nuance-color-4: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-4-saturation: 100%;
-    --theme-nuance-color-4-lightness: 60.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
-    --theme-red-color:     hsl(325, 60%, 50%);
-    --theme-orange-color:  #e76f51;
-    --theme-yellow-color:  #ffd95f;
-    --theme-green-color:   #A3BE8C;
-    --theme-blue-color:    hsl(192, 95%, 40%);
-    --theme-purple-color:  hsl(192, 80%, 35%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--secondary-color-1);
---button-alert-color-hover:      var(--theme-purple-color);
---button-alert-border-hover:     var(--theme-purple-color);
-
---button-alert-text-active:      var(--secondary-color-1);
---button-alert-color-active:     var(--theme-blue-color);
---button-alert-border-active:    var(--theme-blue-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text: var(--primary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(192,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color-hover:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
---button-primary-color-active:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-primary-border-active:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:   var(--secondary-color-1);
---button-secondary-color:  var(--primary-color-3);
---button-secondary-border: var(--primary-color-3);
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:  var(--primary-color-4);
---button-secondary-border-hover: var(--primary-color-4);
-
-
-/* ---------active--------- */
---button-secondary-text-active: var(--secondary-color-1);
-
---button-secondary-color-active:
-    hsl(192,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(192,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-
-/* ---------hover---------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-}
diff --git a/tools/server/public_legacy/theme-playground.css b/tools/server/public_legacy/theme-playground.css
deleted file mode 100644
index 9d56a718248a46c227c2e47daa51967df142f35e..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/theme-playground.css
+++ /dev/null
@@ -1,221 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from OpenAI's Playground platform https://platform.openai.com/playground/ */
-
-.theme-playground {
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(0, 0%,    99.2%);
-    --primary-color-1-hue:         0;
-    --primary-color-1-saturation:  0%;
-    --primary-color-1-lightness:   99.2%;
-
---primary-color-2: hsl(0, 0%,    95%);
-    --primary-color-2-hue:         0;
-    --primary-color-2-saturation:  0%;
-    --primary-color-2-lightness:   95%;
-
---primary-color-3: hsl(0, 0%,    88%);
-    --primary-color-3-hue:         0;
-    --primary-color-3-saturation:  0%;
-    --primary-color-3-lightness:   88%;
-
---primary-color-4: hsl(0, 0%,    80%);
-    --primary-color-4-hue:         0;
-    --primary-color-4-saturation:  0%;
-    --primary-color-4-lightness:   80%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(0, 0%,    20%);
-    --secondary-color-1-hue:         0;
-    --secondary-color-1-saturation:  0%;
-    --secondary-color-1-lightness:   20%;
-
---secondary-color-2: hsl(0, 0%,    23.1%);
-    --secondary-color-2-hue:         0;
-    --secondary-color-2-saturation:  0%;
-    --secondary-color-2-lightness:   23.1%;
-
---secondary-color-3: hsl(0, 0%,    29%);
-    --secondary-color-3-hue:         0;
-    --secondary-color-3-saturation:  0%;
-    --secondary-color-3-lightness:   29%;
-
---secondary-color-4: hsl(0, 0%,    36.1%);
-    --secondary-color-4-hue:         0;
-    --secondary-color-4-saturation:  0%;
-    --secondary-color-4-lightness:   36.1%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(165.2, 82.1%, 35.1%);
-    --theme-nuance-color-1-hue:             165.2;
-    --theme-nuance-color-1-saturation:      82.1%;
-    --theme-nuance-color-1-lightness:       35.1%;
-
---theme-nuance-color-2: hsl(165.2, 82.1%, 35.1%);
-    --theme-nuance-color-2-hue:             165.2;
-    --theme-nuance-color-2-saturation:      82.1%;
-    --theme-nuance-color-2-lightness:       35.1%;
-
---theme-nuance-color-3: hsl(165.2, 81.1%, 35.3%);
-    --theme-nuance-color-3-hue:             165.2;
-    --theme-nuance-color-3-saturation:      81.1%;
-    --theme-nuance-color-3-lightness:       35.3%;
-
---theme-nuance-color-4: hsl(164.9, 81.6%, 27.6%);
-    --theme-nuance-color-4-hue:             164.9;
-    --theme-nuance-color-4-saturation:      81.6%;
-    --theme-nuance-color-4-lightness:       27.6%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:     hsl(0.3, 80%, 50%);
---theme-orange-color:  #e76f51;
---theme-yellow-color:  hsl(60, 70.6%, 73.3%);
---theme-green-color:   #A3BE8C;
---theme-purple-color:  hsl(0.3, 70%, 45%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--primary-color-4);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:        var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--primary-color-1);
---button-alert-color-hover:      var(--theme-purple-color);
---button-alert-border-hover:     var(--theme-purple-color);
-
---button-alert-text-active:      var(--primary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
---button-primary-color-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-primary-border-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:  var(--primary-color-3);
---button-secondary-border: var(--primary-color-3);
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:  var(--primary-color-4);
---button-secondary-border-hover: var(--primary-color-4);
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-
-/* ---------hover---------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-}
diff --git a/tools/server/public_legacy/theme-polarnight.css b/tools/server/public_legacy/theme-polarnight.css
deleted file mode 100644
index 2bcfb33d8f1836244980c280dedacd0dc2d70cb9..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/theme-polarnight.css
+++ /dev/null
@@ -1,253 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from Nord Theme https://www.nordtheme.com/docs/colors-and-palettes */
-
-.theme-polarnight {
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(220.0, 16.4%, 21.6%) ;
-    --primary-color-1-hue:             220.0;
-    --primary-color-1-saturation:      16.4%;
-    --primary-color-1-lightness:       21.6%;
-
---primary-color-2: hsl(221.7, 16.3%, 27.6%) ;
-    -primary-color-2-hue:              221.7;
-    --primary-color-2-saturation:      16.3%;
-    --primary-color-2-lightness:       27.6%;
-
---primary-color-3: hsl(220.0, 16.8%, 31.6%) ;
-    --primary-color-3-hue:             220.0;
-    --primary-color-3-saturation:      16.8%;
-    --primary-color-3-lightness:       31.6%;
-
---primary-color-4: hsl(220.0, 16.5%, 35.7%);
-    --primary-color-4-hue:             220.0;
-    --primary-color-4-saturation:      16.5%;
-    --primary-color-4-lightness:       35.7%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(217.5, 26.7%, 94.1%);
-    --secondary-color-1-hue:             217.5;
-    --secondary-color-1-saturation:      26.7%;
-    --secondary-color-1-lightness:       94.1%;
-
---secondary-color-2: hsl(218.2, 26.8%, 92.0%);
-    --secondary-color-2-hue:             218.2;
-    --secondary-color-2-saturation:      26.8%;
-    --secondary-color-2-lightness:       92.0%;
-
---secondary-color-3: hsl(218.8, 27.9%, 88.0%);
-    --secondary-color-3-hue:             218.8;
-    --secondary-color-3-saturation:      27.9%;
-    --secondary-color-3-lightness:       88.0%;
-
---secondary-color-4: hsl(218.8, 18.3%, 81.8%);
-    --secondary-color-4-hue:             218.8;
-    --secondary-color-4-saturation:      18.3%;
-    --secondary-color-4-lightness:       81.8%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
-    --theme-nuance-color-1-hue:             178.7;
-    --theme-nuance-color-1-saturation:      25.1%;
-    --theme-nuance-color-1-lightness:       64.9%;
-
---theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
-    --theme-nuance-color-2-hue:             193.3;
-    --theme-nuance-color-2-saturation:      43.4%;
-    --theme-nuance-color-2-lightness:       67.5%;
-
---theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
-    --theme-nuance-color-3-hue:             210.0;
-    --theme-nuance-color-3-saturation:      34.0%;
-    --theme-nuance-color-3-lightness:       63.1%;
-
---theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
-    --theme-nuance-color-4-hue:             213.1;
-    --theme-nuance-color-4-saturation:      32.0%;
-    --theme-nuance-color-4-lightness:       52.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:    hsl(354.3, 42.3%, 56.5%);
---theme-orange-color: hsl(20, 85%, 50%);
---theme-yellow-color: hsl(20, 75%, 45%);
---theme-green-color:  hsl( 92.4, 27.8%, 64.7%);
---theme-purple-color: hsl(311.1, 20.2%, 63.1%);
-
-
-
-/* ------------------------------------------------ */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:        var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--secondary-color-1);
---button-alert-color-hover:      var(--theme-yellow-color);
---button-alert-border-hover:     var(--theme-yellow-color);
-
---button-alert-text-active:      var(--secondary-color-1);
---button-alert-color-active:     var(--theme-orange-color);
---button-alert-border-active:    var(--theme-orange-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--secondary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(217.5,
-    calc(var(--secondary-color-1-saturation) - 35%),
-    calc(var(--secondary-color-1-lightness)  + 30%));
-
---button-primary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 35%));
-
---button-primary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
---button-primary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
---button-secondary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
---button-secondary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 25%));
-
---button-secondary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-
-/* ---------hover---------- */
---button-tertiary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-}
diff --git a/tools/server/public_legacy/theme-snowstorm.css b/tools/server/public_legacy/theme-snowstorm.css
deleted file mode 100644
index 7bb2275949273a05c4a99bae95ef5975af670e9f..0000000000000000000000000000000000000000
--- a/tools/server/public_legacy/theme-snowstorm.css
+++ /dev/null
@@ -1,251 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from Nord Theme https://www.nordtheme.com/docs/colors-and-palettes */
-
-.theme-snowstorm {
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(217.5, 26.7%, 94.1%);
-    --primary-color-1-hue:             217.5;
-    --primary-color-1-saturation:      26.7%;
-    --primary-color-1-lightness:       94.1%;
-
---primary-color-2: hsl(218.2, 26.8%, 92.0%);
-    --primary-color-2-hue:             218.2;
-    --primary-color-2-saturation:      26.8%;
-    --primary-color-2-lightness:       92.0%;
-
---primary-color-3: hsl(218.8, 27.9%, 88.0%);
-    --primary-color-3-hue:             218.8;
-    --primary-color-3-saturation:      27.9%;
-    --primary-color-3-lightness:       88.0%;
-
---primary-color-4: hsl(218.8, 18.3%, 81.8%);
-    --primary-color-4-hue:             218.8;
-    --primary-color-4-saturation:      18.3%;
-    --primary-color-4-lightness:       81.8%;
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(220.0, 16.4%, 21.6%);
-    --secondary-color-1-hue:             220.0;
-    --secondary-color-1-saturation:      16.4%;
-    --secondary-color-1-lightness:       21.6%;
-
---secondary-color-2: hsl(221.7, 16.3%, 27.6%);
-    --secondary-color-2-hue:             221.7;
-    --secondary-color-2-saturation:      16.3%;
-    --secondary-color-2-lightness:       27.6%;
-
---secondary-color-3: hsl(220.0, 16.8%, 31.6%);
-    --secondary-color-3-hue:             220.0;
-    --secondary-color-3-saturation:      16.8%;
-    --secondary-color-3-lightness:       31.6%;
-
---secondary-color-4: hsl(220.0, 16.5%, 35.7%);
-    --secondary-color-4-hue:             220.0;
-    --secondary-color-4-saturation:      16.5%;
-    --secondary-color-4-lightness:       35.7%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
-    --theme-nuance-color-1-hue:             178.7;
-    --theme-nuance-color-1-saturation:      25.1%;
-    --theme-nuance-color-1-lightness:       64.9%;
-
---theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
-    --theme-nuance-color-2-hue:             193.3;
-    --theme-nuance-color-2-saturation:      43.4%;
-    --theme-nuance-color-2-lightness:       67.5%;
-
---theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
-    --theme-nuance-color-3-hue:             210.0;
-    --theme-nuance-color-3-saturation:      34.0%;
-    --theme-nuance-color-3-lightness:       63.1%;
-
---theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
-    --theme-nuance-color-4-hue:             213.1;
-    --theme-nuance-color-4-saturation:      32.0%;
-    --theme-nuance-color-4-lightness:       52.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:    hsl(32.5, 80%, 50%);
---theme-orange-color: hsl(32.5, 70%, 45%);
---theme-yellow-color: hsl(40.0,   0.6%, 73.3%);
---theme-green-color:  hsl(92.4,  27.8%, 64.7%);
---theme-purple-color: hsl(311.1, 20.2%, 63.1%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--primary-color-1);
---button-alert-color-hover:      var(--theme-orange-color);
---button-alert-border-hover:     var(--theme-orange-color);
-
---button-alert-text-active:      var(--primary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--secondary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(217.5,
-    calc(var(--secondary-color-1-saturation) + 35%),
-    calc(var(--secondary-color-1-lightness)  - 30%));
-
---button-primary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 35%));
-
---button-primary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
---button-primary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
---button-secondary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
---button-secondary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) + 40%),
-    calc(var(--theme-nuance-color-3-lightness)  - 55%));
-
---button-secondary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-secondary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-/* ---------hover---------- */
---button-tertiary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-}
diff --git a/tools/server/public_simplechat/datautils.mjs b/tools/server/public_simplechat/datautils.mjs
deleted file mode 100644
index 08ccc219bfd61263877c6ed7f5f3ce5b0afb532e..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/datautils.mjs
+++ /dev/null
@@ -1,266 +0,0 @@
-//@ts-check
-// Helpers to work with different data types
-// by Humans for All
-//
-
-/**
- * Given the limited context size of local LLMs and , many a times when context gets filled
- * between the prompt and the response, it can lead to repeating text garbage generation.
- * And many a times setting penalty wrt repeatation leads to over-intelligent garbage
- * repeatation with slight variations. These garbage inturn can lead to overloading of the
- * available model context, leading to less valuable response for subsequent prompts/queries,
- * if chat history is sent to ai model.
- *
- * So two simple minded garbage trimming logics are experimented below.
- * * one based on progressively-larger-substring-based-repeat-matching-with-partial-skip and
- * * another based on char-histogram-driven garbage trimming.
- *   * in future characteristic of histogram over varying lengths could be used to allow for
- *     a more aggressive and adaptive trimming logic.
- */
-
-
-/**
- * Simple minded logic to help remove repeating garbage at end of the string.
- * The repeatation needs to be perfectly matching.
- *
- * The logic progressively goes on probing for longer and longer substring based
- * repeatation, till there is no longer repeatation. Inturn picks the one with
- * the longest chain.
- *
- * @param {string} sIn
- * @param {number} maxSubL
- * @param {number} maxMatchLenThreshold
- */
-export function trim_repeat_garbage_at_end(sIn, maxSubL=10, maxMatchLenThreshold=40) {
-    let rCnt = [0];
-    let maxMatchLen = maxSubL;
-    let iMML = -1;
-    for(let subL=1; subL < maxSubL; subL++) {
-        rCnt.push(0);
-        let i;
-        let refS = sIn.substring(sIn.length-subL, sIn.length);
-        for(i=sIn.length; i > 0; i -= subL) {
-            let curS = sIn.substring(i-subL, i);
-            if (refS != curS) {
-                let curMatchLen = rCnt[subL]*subL;
-                if (maxMatchLen < curMatchLen) {
-                    maxMatchLen = curMatchLen;
-                    iMML = subL;
-                }
-                break;
-            }
-            rCnt[subL] += 1;
-        }
-    }
-    console.debug("DBUG:DU:TrimRepeatGarbage:", rCnt);
-    if ((iMML == -1) || (maxMatchLen < maxMatchLenThreshold)) {
-        return {trimmed: false, data: sIn};
-    }
-    console.debug("DBUG:TrimRepeatGarbage:TrimmedCharLen:", maxMatchLen);
-    let iEnd = sIn.length - maxMatchLen;
-    return { trimmed: true, data: sIn.substring(0, iEnd) };
-}
-
-
-/**
- * Simple minded logic to help remove repeating garbage at end of the string, till it can't.
- * If its not able to trim, then it will try to skip a char at end and then trim, a few times.
- * This ensures that even if there are multiple runs of garbage with different patterns, the
- * logic still tries to munch through them.
- *
- * @param {string} sIn
- * @param {number} maxSubL
- * @param {number | undefined} [maxMatchLenThreshold]
- */
-export function trim_repeat_garbage_at_end_loop(sIn, maxSubL, maxMatchLenThreshold, skipMax=16) {
-    let sCur = sIn;
-    let sSaved = "";
-    let iTry = 0;
-    while(true) {
-        let got = trim_repeat_garbage_at_end(sCur, maxSubL, maxMatchLenThreshold);
-        if (got.trimmed != true) {
-            if (iTry == 0) {
-                sSaved = got.data;
-            }
-            iTry += 1;
-            if (iTry >= skipMax) {
-                return sSaved;
-            }
-            got.data = got.data.substring(0,got.data.length-1);
-        } else {
-            iTry = 0;
-        }
-        sCur = got.data;
-    }
-}
-
-
-/**
- * A simple minded try trim garbage at end using histogram driven characteristics.
- * There can be variation in the repeatations, as long as no new char props up.
- *
- * This tracks the chars and their frequency in a specified length of substring at the end
- * and inturn checks if moving further into the generated text from the end remains within
- * the same char subset or goes beyond it and based on that either trims the string at the
- * end or not. This allows to filter garbage at the end, including even if there are certain
- * kind of small variations in the repeated text wrt position of seen chars.
- *
- * Allow the garbage to contain upto maxUniq chars, but at the same time ensure that
- * a given type of char ie numerals or alphabets or other types dont cross the specified
- * maxType limit. This allows intermixed text garbage to be identified and trimmed.
- *
- * ALERT: This is not perfect and only provides a rough garbage identification logic.
- * Also it currently only differentiates between character classes wrt english.
- *
- * @param {string} sIn
- * @param {number} maxType
- * @param {number} maxUniq
- * @param {number} maxMatchLenThreshold
- */
-export function trim_hist_garbage_at_end(sIn, maxType, maxUniq, maxMatchLenThreshold) {
-    if (sIn.length < maxMatchLenThreshold) {
-        return { trimmed: false, data: sIn };
-    }
-    let iAlp = 0;
-    let iNum = 0;
-    let iOth = 0;
-    // Learn
-    let hist = {};
-    let iUniq = 0;
-    for(let i=0; i<maxMatchLenThreshold; i++) {
-        let c = sIn[sIn.length-1-i];
-        if (c in hist) {
-            hist[c] += 1;
-        } else {
-            if(c.match(/[0-9]/) != null) {
-                iNum += 1;
-            } else if(c.match(/[A-Za-z]/) != null) {
-                iAlp += 1;
-            } else {
-                iOth += 1;
-            }
-            iUniq += 1;
-            if (iUniq >= maxUniq) {
-                break;
-            }
-            hist[c] = 1;
-        }
-    }
-    console.debug("DBUG:TrimHistGarbage:", hist);
-    if ((iAlp > maxType) || (iNum > maxType) || (iOth > maxType)) {
-        return { trimmed: false, data: sIn };
-    }
-    // Catch and Trim
-    for(let i=0; i < sIn.length; i++) {
-        let c = sIn[sIn.length-1-i];
-        if (!(c in hist)) {
-            if (i < maxMatchLenThreshold) {
-                return { trimmed: false, data: sIn };
-            }
-            console.debug("DBUG:TrimHistGarbage:TrimmedCharLen:", i);
-            return { trimmed: true, data: sIn.substring(0, sIn.length-i+1) };
-        }
-    }
-    console.debug("DBUG:TrimHistGarbage:Trimmed fully");
-    return { trimmed: true, data: "" };
-}
-
-/**
- * Keep trimming repeatedly using hist_garbage logic, till you no longer can.
- * This ensures that even if there are multiple runs of garbage with different patterns,
- * the logic still tries to munch through them.
- *
- * @param {any} sIn
- * @param {number} maxType
- * @param {number} maxUniq
- * @param {number} maxMatchLenThreshold
- */
-export function trim_hist_garbage_at_end_loop(sIn, maxType, maxUniq, maxMatchLenThreshold) {
-    let sCur = sIn;
-    while (true) {
-        let got = trim_hist_garbage_at_end(sCur, maxType, maxUniq, maxMatchLenThreshold);
-        if (!got.trimmed) {
-            return got.data;
-        }
-        sCur = got.data;
-    }
-}
-
-/**
- * Try trim garbage at the end by using both the hist-driven-garbage-trimming as well as
- * skip-a-bit-if-reqd-then-repeat-pattern-based-garbage-trimming, with blind retrying.
- * @param {string} sIn
- */
-export function trim_garbage_at_end(sIn) {
-    let sCur = sIn;
-    for(let i=0; i<2; i++) {
-        sCur = trim_hist_garbage_at_end_loop(sCur, 8, 24, 72);
-        sCur = trim_repeat_garbage_at_end_loop(sCur, 32, 72, 12);
-    }
-    return sCur;
-}
-
-
-/**
- * NewLines array helper.
- * Allow for maintaining a list of lines.
- * Allow for a line to be builtup/appended part by part.
- */
-export class NewLines {
-
-    constructor() {
-        /** @type {string[]} */
-        this.lines = [];
-    }
-
-    /**
-     * Extracts lines from the passed string and inturn either
-     * append to a previous partial line or add a new line.
-     * @param {string} sLines
-     */
-    add_append(sLines) {
-        let aLines = sLines.split("\n");
-        let lCnt = 0;
-        for(let line of aLines) {
-            lCnt += 1;
-            // Add back newline removed if any during split
-            if (lCnt < aLines.length) {
-                line += "\n";
-            } else {
-                if (sLines.endsWith("\n")) {
-                    line += "\n";
-                }
-            }
-            // Append if required
-            if (lCnt == 1) {
-                let lastLine = this.lines[this.lines.length-1];
-                if (lastLine != undefined) {
-                    if (!lastLine.endsWith("\n")) {
-                        this.lines[this.lines.length-1] += line;
-                        continue;
-                    }
-                }
-            }
-            // Add new line
-            this.lines.push(line);
-        }
-    }
-
-    /**
-     * Shift the oldest/earliest/0th line in the array. [Old-New|Earliest-Latest]
-     * Optionally control whether only full lines (ie those with newline at end) will be returned
-     * or will a partial line without a newline at end (can only be the last line) be returned.
-     * @param {boolean} bFullWithNewLineOnly
-     */
-    shift(bFullWithNewLineOnly=true) {
-        let line = this.lines[0];
-        if (line == undefined) {
-            return undefined;
-        }
-        if ((line[line.length-1] != "\n") && bFullWithNewLineOnly){
-            return undefined;
-        }
-        return this.lines.shift();
-    }
-
-}
diff --git a/tools/server/public_simplechat/index.html b/tools/server/public_simplechat/index.html
deleted file mode 100644
index f6413016fcc53b0f45cbd536340f8e674848d39b..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/index.html
+++ /dev/null
@@ -1,51 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-    <head>
-        <title>SimpleChat LlamaCppEtal </title>
-        <meta charset="UTF-8" />
-        <meta name="viewport" content="width=device-width, initial-scale=1" />
-        <meta name="message" content="Save Nature Save Earth" />
-        <meta name="description" content="SimpleChat: trigger LLM web service endpoints /chat/completions and /completions, single/multi chat sessions" />
-        <meta name="author" content="by Humans for All" />
-        <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate" />
-        <script type="importmap">
-            {
-                "imports": {
-                    "datautils": "./datautils.mjs",
-                    "ui": "./ui.mjs"
-                }
-            }
-        </script>
-        <script src="simplechat.js" type="module" defer></script>
-        <link rel="stylesheet" href="simplechat.css" />
-    </head>
-    <body>
-        <div class="samecolumn" id="fullbody">
-
-            <div class="sameline" id="heading">
-                <p class="heading flex-grow" > <b> SimpleChat </b> </p>
-                <button id="settings">Settings</button>
-            </div>
-
-            <div id="sessions-div" class="sameline"></div>
-
-            <hr>
-            <div class="sameline">
-                <label for="system-in">System</label>
-                <textarea name="system" id="system-in" rows="2" placeholder="e.g. you are a helpful ai assistant, who provides concise answers" class="flex-grow"></textarea>
-            </div>
-
-            <hr>
-            <div id="chat-div">
-                <p> You need to have javascript enabled.</p>
-            </div>
-
-            <hr>
-            <div class="sameline">
-                <textarea id="user-in" class="flex-grow" rows="2" placeholder="enter your query to the ai model here" ></textarea>
-                <button id="user-btn">submit</button>
-            </div>
-
-        </div>
-    </body>
-</html>
diff --git a/tools/server/public_simplechat/readme.md b/tools/server/public_simplechat/readme.md
deleted file mode 100644
index cc86d62494cf57a963095c7bb3fb7a6597ec9e6c..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/readme.md
+++ /dev/null
@@ -1,286 +0,0 @@
-
-# SimpleChat
-
-by Humans for All.
-
-## quickstart
-
-To run from the build dir
-
-bin/llama-server -m path/model.gguf --path ../tools/server/public_simplechat
-
-Continue reading for the details.
-
-## overview
-
-This simple web frontend, allows triggering/testing the server's /completions or /chat/completions endpoints
-in a simple way with minimal code from a common code base. Inturn additionally it tries to allow single or
-multiple independent back and forth chatting to an extent, with the ai llm model at a basic level, with their
-own system prompts.
-
-This allows seeing the generated text / ai-model response in oneshot at the end, after it is fully generated,
-or potentially as it is being generated, in a streamed manner from the server/ai-model.
-
-![Chat and Settings screens](./simplechat_screens.webp "Chat and Settings screens")
-
-Auto saves the chat session locally as and when the chat is progressing and inturn at a later time when you
-open SimpleChat, option is provided to restore the old chat session, if a matching one exists.
-
-The UI follows a responsive web design so that the layout can adapt to available display space in a usable
-enough manner, in general.
-
-Allows developer/end-user to control some of the behaviour by updating gMe members from browser's devel-tool
-console. Parallelly some of the directly useful to end-user settings can also be changed using the provided
-settings ui.
-
-NOTE: Current web service api doesnt expose the model context length directly, so client logic doesnt provide
-any adaptive culling of old messages nor of replacing them with summary of their content etal. However there
-is a optional sliding window based chat logic, which provides a simple minded culling of old messages from
-the chat history before sending to the ai model.
-
-NOTE: Wrt options sent with the request, it mainly sets temperature, max_tokens and optionally stream for now.
-However if someone wants they can update the js file or equivalent member in gMe as needed.
-
-NOTE: One may be able to use this to chat with openai api web-service /chat/completions endpoint, in a very
-limited / minimal way. One will need to set model, openai url and authorization bearer key in settings ui.
-
-
-## usage
-
-One could run this web frontend directly using server itself or if anyone is thinking of adding a built in web
-frontend to configure the server over http(s) or so, then run this web frontend using something like python's
-http module.
-
-### running using tools/server
-
-./llama-server -m path/model.gguf --path tools/server/public_simplechat [--port PORT]
-
-### running using python3's server module
-
-first run tools/server
-* ./llama-server -m path/model.gguf
-
-next run this web front end in tools/server/public_simplechat
-* cd ../tools/server/public_simplechat
-* python3 -m http.server PORT
-
-### using the front end
-
-Open this simple web front end from your local browser
-
-* http://127.0.0.1:PORT/index.html
-
-Once inside
-
-* If you want to, you can change many of the default global settings
-  * the base url (ie ip addr / domain name, port)
-  * chat (default) vs completion mode
-  * try trim garbage in response or not
-  * amount of chat history in the context sent to server/ai-model
-  * oneshot or streamed mode.
-
-* In completion mode
-  * one normally doesnt use a system prompt in completion mode.
-  * logic by default doesnt insert any role specific "ROLE: " prefix wrt each role's message.
-    If the model requires any prefix wrt user role messages, then the end user has to
-    explicitly add the needed prefix, when they enter their chat message.
-    Similarly if the model requires any prefix to trigger assistant/ai-model response,
-    then the end user needs to enter the same.
-    This keeps the logic simple, while still giving flexibility to the end user to
-    manage any templating/tagging requirement wrt their messages to the model.
-  * the logic doesnt insert newline at the beginning and end wrt the prompt message generated.
-    However if the chat being sent to /completions end point has more than one role's message,
-    then insert newline when moving from one role's message to the next role's message, so
-    that it can be clearly identified/distinguished.
-  * given that /completions endpoint normally doesnt add additional chat-templating of its
-    own, the above ensures that end user can create a custom single/multi message combo with
-    any tags/special-tokens related chat templating to test out model handshake. Or enduser
-    can use it just for normal completion related/based query.
-
-* If you want to provide a system prompt, then ideally enter it first, before entering any user query.
-  Normally Completion mode doesnt need system prompt, while Chat mode can generate better/interesting
-  responses with a suitable system prompt.
-  * if chat.add_system_begin is used
-    * you can't change the system prompt, after it is has been submitted once along with user query.
-    * you can't set a system prompt, after you have submitted any user query
-  * if chat.add_system_anytime is used
-    * one can change the system prompt any time during chat, by changing the contents of system prompt.
-    * inturn the updated/changed system prompt will be inserted into the chat session.
-    * this allows for the subsequent user chatting to be driven by the new system prompt set above.
-
-* Enter your query and either press enter or click on the submit button.
-  If you want to insert enter (\n) as part of your chat/query to ai model, use shift+enter.
-
-* Wait for the logic to communicate with the server and get the response.
-  * the user is not allowed to enter any fresh query during this time.
-  * the user input box will be disabled and a working message will be shown in it.
-  * if trim garbage is enabled, the logic will try to trim repeating text kind of garbage to some extent.
-
-* just refresh the page, to reset wrt the chat history and or system prompt and start afresh.
-
-* Using NewChat one can start independent chat sessions.
-  * two independent chat sessions are setup by default.
-
-* When you want to print, switching ChatHistoryInCtxt to Full and clicking on the chat session button of
-  interest, will display the full chat history till then wrt same, if you want full history for printing.
-
-
-## Devel note
-
-### Reason behind this
-
-The idea is to be easy enough to use for basic purposes, while also being simple and easily discernible
-by developers who may not be from web frontend background (so inturn may not be familiar with template /
-end-use-specific-language-extensions driven flows) so that they can use it to explore/experiment things.
-
-And given that the idea is also to help explore/experiment for developers, some flexibility is provided
-to change behaviour easily using the devel-tools/console or provided minimal settings ui (wrt few aspects).
-Skeletal logic has been implemented to explore some of the end points and ideas/implications around them.
-
-
-### General
-
-Me/gMe consolidates the settings which control the behaviour into one object.
-One can see the current settings, as well as change/update them using browsers devel-tool/console.
-It is attached to the document object. Some of these can also be updated using the Settings UI.
-
-  baseURL - the domain-name/ip-address and inturn the port to send the request.
-
-  bStream - control between oneshot-at-end and live-stream-as-its-generated collating and showing
-  of the generated response.
-
-    the logic assumes that the text sent from the server follows utf-8 encoding.
-
-    in streaming mode - if there is any exception, the logic traps the same and tries to ensure
-    that text generated till then is not lost.
-
-      if a very long text is being generated, which leads to no user interaction for sometime and
-      inturn the machine goes into power saving mode or so, the platform may stop network connection,
-      leading to exception.
-
-  apiEP - select between /completions and /chat/completions endpoint provided by the server/ai-model.
-
-  bCompletionFreshChatAlways - whether Completion mode collates complete/sliding-window history when
-  communicating with the server or only sends the latest user query/message.
-
-  bCompletionInsertStandardRolePrefix - whether Completion mode inserts role related prefix wrt the
-  messages that get inserted into prompt field wrt /Completion endpoint.
-
-  bTrimGarbage - whether garbage repeatation at the end of the generated ai response, should be
-  trimmed or left as is. If enabled, it will be trimmed so that it won't be sent back as part of
-  subsequent chat history. At the same time the actual trimmed text is shown to the user, once
-  when it was generated, so user can check if any useful info/data was there in the response.
-
-    One may be able to request the ai-model to continue (wrt the last response) (if chat-history
-    is enabled as part of the chat-history-in-context setting), and chances are the ai-model will
-    continue starting from the trimmed part, thus allows long response to be recovered/continued
-    indirectly, in many cases.
-
-    The histogram/freq based trimming logic is currently tuned for english language wrt its
-    is-it-a-alpabetic|numeral-char regex match logic.
-
-  apiRequestOptions - maintains the list of options/fields to send along with api request,
-  irrespective of whether /chat/completions or /completions endpoint.
-
-    If you want to add additional options/fields to send to the server/ai-model, and or
-    modify the existing options value or remove them, for now you can update this global var
-    using browser's development-tools/console.
-
-    For string, numeric and boolean fields in apiRequestOptions, including even those added by a
-    user at runtime by directly modifying gMe.apiRequestOptions, setting ui entries will be auto
-    created.
-
-    cache_prompt option supported by example/server is allowed to be controlled by user, so that
-    any caching supported wrt system-prompt and chat history, if usable can get used. When chat
-    history sliding window is enabled, cache_prompt logic may or may not kick in at the backend
-    wrt same, based on aspects related to model, positional encoding, attention mechanism etal.
-    However system prompt should ideally get the benefit of caching.
-
-  headers - maintains the list of http headers sent when request is made to the server. By default
-  Content-Type is set to application/json. Additionally Authorization entry is provided, which can
-  be set if needed using the settings ui.
-
-  iRecentUserMsgCnt - a simple minded SlidingWindow to limit context window load at Ai Model end.
-  This is disabled by default. However if enabled, then in addition to latest system message, only
-  the last/latest iRecentUserMsgCnt user messages after the latest system prompt and its responses
-  from the ai model will be sent to the ai-model, when querying for a new response. IE if enabled,
-  only user messages after the latest system message/prompt will be considered.
-
-    This specified sliding window user message count also includes the latest user query.
-    <0 : Send entire chat history to server
-     0 : Send only the system message if any to the server
-    >0 : Send the latest chat history from the latest system prompt, limited to specified cnt.
-
-
-By using gMe's iRecentUserMsgCnt and apiRequestOptions.max_tokens/n_predict one can try to control
-the implications of loading of the ai-model's context window by chat history, wrt chat response to
-some extent in a simple crude way. You may also want to control the context size enabled when the
-server loads ai-model, on the server end.
-
-
-Sometimes the browser may be stuborn with caching of the file, so your updates to html/css/js
-may not be visible. Also remember that just refreshing/reloading page in browser or for that
-matter clearing site data, dont directly override site caching in all cases. Worst case you may
-have to change port. Or in dev tools of browser, you may be able to disable caching fully.
-
-
-Currently the server to communicate with is maintained globally and not as part of a specific
-chat session. So if one changes the server ip/url in setting, then all chat sessions will auto
-switch to this new server, when you try using those sessions.
-
-
-By switching between chat.add_system_begin/anytime, one can control whether one can change
-the system prompt, anytime during the conversation or only at the beginning.
-
-
-### Default setup
-
-By default things are setup to try and make the user experience a bit better, if possible.
-However a developer when testing the server of ai-model may want to change these value.
-
-Using iRecentUserMsgCnt reduce chat history context sent to the server/ai-model to be
-just the system-prompt, prev-user-request-and-ai-response and cur-user-request, instead of
-full chat history. This way if there is any response with garbage/repeatation, it doesnt
-mess with things beyond the next question/request/query, in some ways. The trim garbage
-option also tries to help avoid issues with garbage in the context to an extent.
-
-Set max_tokens to 1024, so that a relatively large previous response doesnt eat up the space
-available wrt next query-response. However dont forget that the server when started should
-also be started with a model context size of 1k or more, to be on safe side.
-
-  The /completions endpoint of tools/server doesnt take max_tokens, instead it takes the
-  internal n_predict, for now add the same here on the client side, maybe later add max_tokens
-  to /completions endpoint handling code on server side.
-
-NOTE: One may want to experiment with frequency/presence penalty fields in apiRequestOptions
-wrt the set of fields sent to server along with the user query, to check how the model behaves
-wrt repeatations in general in the generated text response.
-
-A end-user can change these behaviour by editing gMe from browser's devel-tool/console or by
-using the provided settings ui (for settings exposed through the ui).
-
-
-### OpenAi / Equivalent API WebService
-
-One may be abe to handshake with OpenAI/Equivalent api web service's /chat/completions endpoint
-for a minimal chatting experimentation by setting the below.
-
-* the baseUrl in settings ui
-  * https://api.openai.com/v1 or similar
-
-* Wrt request body - gMe.apiRequestOptions
-  * model (settings ui)
-  * any additional fields if required in future
-
-* Wrt request headers - gMe.headers
-  * Authorization (available through settings ui)
-    * Bearer THE_OPENAI_API_KEY
-  * any additional optional header entries like "OpenAI-Organization", "OpenAI-Project" or so
-
-NOTE: Not tested, as there is no free tier api testing available. However logically this might
-work.
-
-
-## At the end
-
-Also a thank you to all open source and open model developers, who strive for the common good.
diff --git a/tools/server/public_simplechat/simplechat.css b/tools/server/public_simplechat/simplechat.css
deleted file mode 100644
index 13bfb80b48be80f2b4c3fdad88c9144dbcd40894..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/simplechat.css
+++ /dev/null
@@ -1,79 +0,0 @@
-/**
- * the styling of the simplechat web frontend
- * by Humans for All
- */
-
-#fullbody {
-    height: 98vh;
-}
-
-.heading {
-    background-color: lightgray;
-}
-
-.session-selected {
-    background-color: lightblue;
-}
-
-.role-system {
-    background-color: lightblue;
-}
-.role-user {
-    background-color: lightgray;
-}
-.role-trim {
-    background-color: lightpink;
-}
-
-.gridx2 {
-    display: grid;
-    grid-template-columns: repeat(2, 1fr);
-    border-bottom-style: dotted;
-    border-bottom-width: thin;
-    border-bottom-color: lightblue;
-}
-
-.flex-grow {
-    flex-grow: 1;
-}
-.float-right {
-    float: right;
-}
-
-#chat-div {
-    overflow: scroll;
-    flex-grow: 1;
-    flex-shrink: 1;
-    min-height: 40vh;
-}
-button {
-    min-width: 8vw;
-}
-
-.sameline {
-    display: flex;
-    flex-direction: row;
-}
-.samecolumn {
-    display: flex;
-    flex-direction: column;
-}
-
-.ul1 {
-    padding-inline-start: 2vw;
-}
-.ul2 {
-    padding-inline-start: 2vw;
-}
-
-* {
-    margin: 0.6vmin;
-}
-
-@media print {
-
-    #fullbody {
-        height: auto;
-    }
-
-}
diff --git a/tools/server/public_simplechat/simplechat.js b/tools/server/public_simplechat/simplechat.js
deleted file mode 100644
index c67577d5ae781fea2579672afaff71c290506733..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/simplechat.js
+++ /dev/null
@@ -1,929 +0,0 @@
-// @ts-check
-// A simple completions and chat/completions test related web front end logic
-// by Humans for All
-
-import * as du from "./datautils.mjs";
-import * as ui from "./ui.mjs"
-
-class Roles {
-    static System = "system";
-    static User = "user";
-    static Assistant = "assistant";
-}
-
-class ApiEP {
-    static Type = {
-        Chat: "chat",
-        Completion: "completion",
-    }
-    static UrlSuffix = {
-        'chat': `/chat/completions`,
-        'completion': `/completions`,
-    }
-
-    /**
-     * Build the url from given baseUrl and apiEp id.
-     * @param {string} baseUrl
-     * @param {string} apiEP
-     */
-    static Url(baseUrl, apiEP) {
-        if (baseUrl.endsWith("/")) {
-            baseUrl = baseUrl.substring(0, baseUrl.length-1);
-        }
-        return `${baseUrl}${this.UrlSuffix[apiEP]}`;
-    }
-
-}
-
-
-let gUsageMsg = `
-    <p class="role-system">Usage</p>
-    <ul class="ul1">
-    <li> System prompt above, to try control ai response characteristics.</li>
-        <ul class="ul2">
-        <li> Completion mode - no system prompt normally.</li>
-        </ul>
-    <li> Use shift+enter for inserting enter/newline.</li>
-    <li> Enter your query to ai assistant below.</li>
-    <li> Default ContextWindow = [System, Last Query+Resp, Cur Query].</li>
-        <ul class="ul2">
-        <li> ChatHistInCtxt, MaxTokens, ModelCtxt window to expand</li>
-        </ul>
-    </ul>
-`;
-
-
-/** @typedef {{role: string, content: string}[]} ChatMessages */
-
-/** @typedef {{iLastSys: number, xchat: ChatMessages}} SimpleChatODS */
-
-class SimpleChat {
-
-    /**
-     * @param {string} chatId
-     */
-    constructor(chatId) {
-        this.chatId = chatId;
-        /**
-         * Maintain in a form suitable for common LLM web service chat/completions' messages entry
-         * @type {ChatMessages}
-         */
-        this.xchat = [];
-        this.iLastSys = -1;
-        this.latestResponse = "";
-    }
-
-    clear() {
-        this.xchat = [];
-        this.iLastSys = -1;
-    }
-
-    ods_key() {
-        return `SimpleChat-${this.chatId}`
-    }
-
-    save() {
-        /** @type {SimpleChatODS} */
-        let ods = {iLastSys: this.iLastSys, xchat: this.xchat};
-        localStorage.setItem(this.ods_key(), JSON.stringify(ods));
-    }
-
-    load() {
-        let sods = localStorage.getItem(this.ods_key());
-        if (sods == null) {
-            return;
-        }
-        /** @type {SimpleChatODS} */
-        let ods = JSON.parse(sods);
-        this.iLastSys = ods.iLastSys;
-        this.xchat = ods.xchat;
-    }
-
-    /**
-     * Recent chat messages.
-     * If iRecentUserMsgCnt < 0
-     *   Then return the full chat history
-     * Else
-     *   Return chat messages from latest going back till the last/latest system prompt.
-     *   While keeping track that the number of user queries/messages doesnt exceed iRecentUserMsgCnt.
-     * @param {number} iRecentUserMsgCnt
-     */
-    recent_chat(iRecentUserMsgCnt) {
-        if (iRecentUserMsgCnt < 0) {
-            return this.xchat;
-        }
-        if (iRecentUserMsgCnt == 0) {
-            console.warn("WARN:SimpleChat:SC:RecentChat:iRecentUsermsgCnt of 0 means no user message/query sent");
-        }
-        /** @type{ChatMessages} */
-        let rchat = [];
-        let sysMsg = this.get_system_latest();
-        if (sysMsg.length != 0) {
-            rchat.push({role: Roles.System, content: sysMsg});
-        }
-        let iUserCnt = 0;
-        let iStart = this.xchat.length;
-        for(let i=this.xchat.length-1; i > this.iLastSys; i--) {
-            if (iUserCnt >= iRecentUserMsgCnt) {
-                break;
-            }
-            let msg = this.xchat[i];
-            if (msg.role == Roles.User) {
-                iStart = i;
-                iUserCnt += 1;
-            }
-        }
-        for(let i = iStart; i < this.xchat.length; i++) {
-            let msg = this.xchat[i];
-            if (msg.role == Roles.System) {
-                continue;
-            }
-            rchat.push({role: msg.role, content: msg.content});
-        }
-        return rchat;
-    }
-
-    /**
-     * Collate the latest response from the server/ai-model, as it is becoming available.
-     * This is mainly useful for the stream mode.
-     * @param {string} content
-     */
-    append_response(content) {
-        this.latestResponse += content;
-    }
-
-    /**
-     * Add an entry into xchat
-     * @param {string} role
-     * @param {string|undefined|null} content
-     */
-    add(role, content) {
-        if ((content == undefined) || (content == null) || (content == "")) {
-            return false;
-        }
-        this.xchat.push( {role: role, content: content} );
-        if (role == Roles.System) {
-            this.iLastSys = this.xchat.length - 1;
-        }
-        this.save();
-        return true;
-    }
-
-    /**
-     * Show the contents in the specified div
-     * @param {HTMLDivElement} div
-     * @param {boolean} bClear
-     */
-    show(div, bClear=true) {
-        if (bClear) {
-            div.replaceChildren();
-        }
-        let last = undefined;
-        for(const x of this.recent_chat(gMe.iRecentUserMsgCnt)) {
-            let entry = ui.el_create_append_p(`${x.role}: ${x.content}`, div);
-            entry.className = `role-${x.role}`;
-            last = entry;
-        }
-        if (last !== undefined) {
-            last.scrollIntoView(false);
-        } else {
-            if (bClear) {
-                div.innerHTML = gUsageMsg;
-                gMe.setup_load(div, this);
-                gMe.show_info(div);
-            }
-        }
-        return last;
-    }
-
-    /**
-     * Setup the fetch headers.
-     * It picks the headers from gMe.headers.
-     * It inserts Authorization only if its non-empty.
-     * @param {string} apiEP
-     */
-    fetch_headers(apiEP) {
-        let headers = new Headers();
-        for(let k in gMe.headers) {
-            let v = gMe.headers[k];
-            if ((k == "Authorization") && (v.trim() == "")) {
-                continue;
-            }
-            headers.append(k, v);
-        }
-        return headers;
-    }
-
-    /**
-     * Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
-     * The needed fields/options are picked from a global object.
-     * Add optional stream flag, if required.
-     * Convert the json into string.
-     * @param {Object} obj
-     */
-    request_jsonstr_extend(obj) {
-        for(let k in gMe.apiRequestOptions) {
-            obj[k] = gMe.apiRequestOptions[k];
-        }
-        if (gMe.bStream) {
-            obj["stream"] = true;
-        }
-        return JSON.stringify(obj);
-    }
-
-    /**
-     * Return a string form of json object suitable for chat/completions
-     */
-    request_messages_jsonstr() {
-        let req = {
-            messages: this.recent_chat(gMe.iRecentUserMsgCnt),
-        }
-        return this.request_jsonstr_extend(req);
-    }
-
-    /**
-     * Return a string form of json object suitable for /completions
-     * @param {boolean} bInsertStandardRolePrefix Insert "<THE_ROLE>: " as prefix wrt each role's message
-     */
-    request_prompt_jsonstr(bInsertStandardRolePrefix) {
-        let prompt = "";
-        let iCnt = 0;
-        for(const chat of this.recent_chat(gMe.iRecentUserMsgCnt)) {
-            iCnt += 1;
-            if (iCnt > 1) {
-                prompt += "\n";
-            }
-            if (bInsertStandardRolePrefix) {
-                prompt += `${chat.role}: `;
-            }
-            prompt += `${chat.content}`;
-        }
-        let req = {
-            prompt: prompt,
-        }
-        return this.request_jsonstr_extend(req);
-    }
-
-    /**
-     * Return a string form of json object suitable for specified api endpoint.
-     * @param {string} apiEP
-     */
-    request_jsonstr(apiEP) {
-        if (apiEP == ApiEP.Type.Chat) {
-            return this.request_messages_jsonstr();
-        } else {
-            return this.request_prompt_jsonstr(gMe.bCompletionInsertStandardRolePrefix);
-        }
-    }
-
-    /**
-     * Extract the ai-model/assistant's response from the http response got.
-     * Optionally trim the message wrt any garbage at the end.
-     * @param {any} respBody
-     * @param {string} apiEP
-     */
-    response_extract(respBody, apiEP) {
-        let assistant = "";
-        if (apiEP == ApiEP.Type.Chat) {
-            assistant = respBody["choices"][0]["message"]["content"];
-        } else {
-            try {
-                assistant = respBody["choices"][0]["text"];
-            } catch {
-                assistant = respBody["content"];
-            }
-        }
-        return assistant;
-    }
-
-    /**
-     * Extract the ai-model/assistant's response from the http response got in streaming mode.
-     * @param {any} respBody
-     * @param {string} apiEP
-     */
-    response_extract_stream(respBody, apiEP) {
-        let assistant = "";
-        if (apiEP == ApiEP.Type.Chat) {
-            if (respBody["choices"][0]["finish_reason"] !== "stop") {
-                assistant = respBody["choices"][0]["delta"]["content"];
-            }
-        } else {
-            try {
-                assistant = respBody["choices"][0]["text"];
-            } catch {
-                assistant = respBody["content"];
-            }
-        }
-        return assistant;
-    }
-
-    /**
-     * Allow setting of system prompt, but only at beginning.
-     * @param {string} sysPrompt
-     * @param {string} msgTag
-     */
-    add_system_begin(sysPrompt, msgTag) {
-        if (this.xchat.length == 0) {
-            if (sysPrompt.length > 0) {
-                return this.add(Roles.System, sysPrompt);
-            }
-        } else {
-            if (sysPrompt.length > 0) {
-                if (this.xchat[0].role !== Roles.System) {
-                    console.error(`ERRR:SimpleChat:SC:${msgTag}:You need to specify system prompt before any user query, ignoring...`);
-                } else {
-                    if (this.xchat[0].content !== sysPrompt) {
-                        console.error(`ERRR:SimpleChat:SC:${msgTag}:You can't change system prompt, mid way through, ignoring...`);
-                    }
-                }
-            }
-        }
-        return false;
-    }
-
-    /**
-     * Allow setting of system prompt, at any time.
-     * @param {string} sysPrompt
-     * @param {string} msgTag
-     */
-    add_system_anytime(sysPrompt, msgTag) {
-        if (sysPrompt.length <= 0) {
-            return false;
-        }
-
-        if (this.iLastSys < 0) {
-            return this.add(Roles.System, sysPrompt);
-        }
-
-        let lastSys = this.xchat[this.iLastSys].content;
-        if (lastSys !== sysPrompt) {
-            return this.add(Roles.System, sysPrompt);
-        }
-        return false;
-    }
-
-    /**
-     * Retrieve the latest system prompt.
-     */
-    get_system_latest() {
-        if (this.iLastSys == -1) {
-            return "";
-        }
-        let sysPrompt = this.xchat[this.iLastSys].content;
-        return sysPrompt;
-    }
-
-
-    /**
-     * Handle the multipart response from server/ai-model
-     * @param {Response} resp
-     * @param {string} apiEP
-     * @param {HTMLDivElement} elDiv
-     */
-    async handle_response_multipart(resp, apiEP, elDiv) {
-        let elP = ui.el_create_append_p("", elDiv);
-        if (!resp.body) {
-            throw Error("ERRR:SimpleChat:SC:HandleResponseMultiPart:No body...");
-        }
-        let tdUtf8 = new TextDecoder("utf-8");
-        let rr = resp.body.getReader();
-        this.latestResponse = "";
-        let xLines = new du.NewLines();
-        while(true) {
-            let { value: cur,  done: done } = await rr.read();
-            if (cur) {
-                let curBody = tdUtf8.decode(cur, {stream: true});
-                console.debug("DBUG:SC:PART:Str:", curBody);
-                xLines.add_append(curBody);
-            }
-            while(true) {
-                let curLine = xLines.shift(!done);
-                if (curLine == undefined) {
-                    break;
-                }
-                if (curLine.trim() == "") {
-                    continue;
-                }
-                if (curLine.startsWith("data:")) {
-                    curLine = curLine.substring(5);
-                }
-                if (curLine.trim() === "[DONE]") {
-                    break;
-                }
-                let curJson = JSON.parse(curLine);
-                console.debug("DBUG:SC:PART:Json:", curJson);
-                this.append_response(this.response_extract_stream(curJson, apiEP));
-            }
-            elP.innerText = this.latestResponse;
-            elP.scrollIntoView(false);
-            if (done) {
-                break;
-            }
-        }
-        console.debug("DBUG:SC:PART:Full:", this.latestResponse);
-        return this.latestResponse;
-    }
-
-    /**
-     * Handle the oneshot response from server/ai-model
-     * @param {Response} resp
-     * @param {string} apiEP
-     */
-    async handle_response_oneshot(resp, apiEP) {
-        let respBody = await resp.json();
-        console.debug(`DBUG:SimpleChat:SC:${this.chatId}:HandleUserSubmit:RespBody:${JSON.stringify(respBody)}`);
-        return this.response_extract(respBody, apiEP);
-    }
-
-    /**
-     * Handle the response from the server be it in oneshot or multipart/stream mode.
-     * Also take care of the optional garbage trimming.
-     * @param {Response} resp
-     * @param {string} apiEP
-     * @param {HTMLDivElement} elDiv
-     */
-    async handle_response(resp, apiEP, elDiv) {
-        let theResp = {
-            assistant: "",
-            trimmed: "",
-        }
-        if (gMe.bStream) {
-            try {
-                theResp.assistant = await this.handle_response_multipart(resp, apiEP, elDiv);
-                this.latestResponse = "";
-            } catch (error) {
-                theResp.assistant = this.latestResponse;
-                this.add(Roles.Assistant, theResp.assistant);
-                this.latestResponse = "";
-                throw error;
-            }
-        } else {
-            theResp.assistant = await this.handle_response_oneshot(resp, apiEP);
-        }
-        if (gMe.bTrimGarbage) {
-            let origMsg = theResp.assistant;
-            theResp.assistant = du.trim_garbage_at_end(origMsg);
-            theResp.trimmed = origMsg.substring(theResp.assistant.length);
-        }
-        this.add(Roles.Assistant, theResp.assistant);
-        return theResp;
-    }
-
-}
-
-
-class MultiChatUI {
-
-    constructor() {
-        /** @type {Object<string, SimpleChat>} */
-        this.simpleChats = {};
-        /** @type {string} */
-        this.curChatId = "";
-
-        // the ui elements
-        this.elInSystem = /** @type{HTMLInputElement} */(document.getElementById("system-in"));
-        this.elDivChat = /** @type{HTMLDivElement} */(document.getElementById("chat-div"));
-        this.elBtnUser = /** @type{HTMLButtonElement} */(document.getElementById("user-btn"));
-        this.elInUser = /** @type{HTMLInputElement} */(document.getElementById("user-in"));
-        this.elDivHeading = /** @type{HTMLSelectElement} */(document.getElementById("heading"));
-        this.elDivSessions = /** @type{HTMLDivElement} */(document.getElementById("sessions-div"));
-        this.elBtnSettings = /** @type{HTMLButtonElement} */(document.getElementById("settings"));
-
-        this.validate_element(this.elInSystem, "system-in");
-        this.validate_element(this.elDivChat, "chat-div");
-        this.validate_element(this.elInUser, "user-in");
-        this.validate_element(this.elDivHeading, "heading");
-        this.validate_element(this.elDivChat, "sessions-div");
-        this.validate_element(this.elBtnSettings, "settings");
-    }
-
-    /**
-     * Check if the element got
-     * @param {HTMLElement | null} el
-     * @param {string} msgTag
-     */
-    validate_element(el, msgTag) {
-        if (el == null) {
-            throw Error(`ERRR:SimpleChat:MCUI:${msgTag} element missing in html...`);
-        } else {
-            console.debug(`INFO:SimpleChat:MCUI:${msgTag} Id[${el.id}] Name[${el["name"]}]`);
-        }
-    }
-
-    /**
-     * Reset user input ui.
-     * * clear user input
-     * * enable user input
-     * * set focus to user input
-     */
-    ui_reset_userinput() {
-        this.elInUser.value = "";
-        this.elInUser.disabled = false;
-        this.elInUser.focus();
-    }
-
-    /**
-     * Setup the needed callbacks wrt UI, curChatId to defaultChatId and
-     * optionally switch to specified defaultChatId.
-     * @param {string} defaultChatId
-     * @param {boolean} bSwitchSession
-     */
-    setup_ui(defaultChatId, bSwitchSession=false) {
-
-        this.curChatId = defaultChatId;
-        if (bSwitchSession) {
-            this.handle_session_switch(this.curChatId);
-        }
-
-        this.elBtnSettings.addEventListener("click", (ev)=>{
-            this.elDivChat.replaceChildren();
-            gMe.show_settings(this.elDivChat);
-        });
-
-        this.elBtnUser.addEventListener("click", (ev)=>{
-            if (this.elInUser.disabled) {
-                return;
-            }
-            this.handle_user_submit(this.curChatId, gMe.apiEP).catch((/** @type{Error} */reason)=>{
-                let msg = `ERRR:SimpleChat\nMCUI:HandleUserSubmit:${this.curChatId}\n${reason.name}:${reason.message}`;
-                console.error(msg.replace("\n", ":"));
-                alert(msg);
-                this.ui_reset_userinput();
-            });
-        });
-
-        this.elInUser.addEventListener("keyup", (ev)=> {
-            // allow user to insert enter into their message using shift+enter.
-            // while just pressing enter key will lead to submitting.
-            if ((ev.key === "Enter") && (!ev.shiftKey)) {
-                let value = this.elInUser.value;
-                this.elInUser.value = value.substring(0,value.length-1);
-                this.elBtnUser.click();
-                ev.preventDefault();
-            }
-        });
-
-        this.elInSystem.addEventListener("keyup", (ev)=> {
-            // allow user to insert enter into the system prompt using shift+enter.
-            // while just pressing enter key will lead to setting the system prompt.
-            if ((ev.key === "Enter") && (!ev.shiftKey)) {
-                let value = this.elInSystem.value;
-                this.elInSystem.value = value.substring(0,value.length-1);
-                let chat = this.simpleChats[this.curChatId];
-                chat.add_system_anytime(this.elInSystem.value, this.curChatId);
-                chat.show(this.elDivChat);
-                ev.preventDefault();
-            }
-        });
-
-    }
-
-    /**
-     * Setup a new chat session and optionally switch to it.
-     * @param {string} chatId
-     * @param {boolean} bSwitchSession
-     */
-    new_chat_session(chatId, bSwitchSession=false) {
-        this.simpleChats[chatId] = new SimpleChat(chatId);
-        if (bSwitchSession) {
-            this.handle_session_switch(chatId);
-        }
-    }
-
-
-    /**
-     * Handle user query submit request, wrt specified chat session.
-     * @param {string} chatId
-     * @param {string} apiEP
-     */
-    async handle_user_submit(chatId, apiEP) {
-
-        let chat = this.simpleChats[chatId];
-
-        // In completion mode, if configured, clear any previous chat history.
-        // So if user wants to simulate a multi-chat based completion query,
-        // they will have to enter the full thing, as a suitable multiline
-        // user input/query.
-        if ((apiEP == ApiEP.Type.Completion) && (gMe.bCompletionFreshChatAlways)) {
-            chat.clear();
-        }
-
-        chat.add_system_anytime(this.elInSystem.value, chatId);
-
-        let content = this.elInUser.value;
-        if (!chat.add(Roles.User, content)) {
-            console.debug(`WARN:SimpleChat:MCUI:${chatId}:HandleUserSubmit:Ignoring empty user input...`);
-            return;
-        }
-        chat.show(this.elDivChat);
-
-        let theUrl = ApiEP.Url(gMe.baseURL, apiEP);
-        let theBody = chat.request_jsonstr(apiEP);
-
-        this.elInUser.value = "working...";
-        this.elInUser.disabled = true;
-        console.debug(`DBUG:SimpleChat:MCUI:${chatId}:HandleUserSubmit:${theUrl}:ReqBody:${theBody}`);
-        let theHeaders = chat.fetch_headers(apiEP);
-        let resp = await fetch(theUrl, {
-            method: "POST",
-            headers: theHeaders,
-            body: theBody,
-        });
-
-        let theResp = await chat.handle_response(resp, apiEP, this.elDivChat);
-        if (chatId == this.curChatId) {
-            chat.show(this.elDivChat);
-            if (theResp.trimmed.length > 0) {
-                let p = ui.el_create_append_p(`TRIMMED:${theResp.trimmed}`, this.elDivChat);
-                p.className="role-trim";
-            }
-        } else {
-            console.debug(`DBUG:SimpleChat:MCUI:HandleUserSubmit:ChatId has changed:[${chatId}] [${this.curChatId}]`);
-        }
-        this.ui_reset_userinput();
-    }
-
-    /**
-     * Show buttons for NewChat and available chat sessions, in the passed elDiv.
-     * If elDiv is undefined/null, then use this.elDivSessions.
-     * Take care of highlighting the selected chat-session's btn.
-     * @param {HTMLDivElement | undefined} elDiv
-     */
-    show_sessions(elDiv=undefined) {
-        if (!elDiv) {
-            elDiv = this.elDivSessions;
-        }
-        elDiv.replaceChildren();
-        // Btn for creating new chat session
-        let btnNew = ui.el_create_button("New CHAT", (ev)=> {
-            if (this.elInUser.disabled) {
-                console.error(`ERRR:SimpleChat:MCUI:NewChat:Current session [${this.curChatId}] awaiting response, ignoring request...`);
-                alert("ERRR:SimpleChat\nMCUI:NewChat\nWait for response to pending query, before starting new chat session");
-                return;
-            }
-            let chatId = `Chat${Object.keys(this.simpleChats).length}`;
-            let chatIdGot = prompt("INFO:SimpleChat\nMCUI:NewChat\nEnter id for new chat session", chatId);
-            if (!chatIdGot) {
-                console.error("ERRR:SimpleChat:MCUI:NewChat:Skipping based on user request...");
-                return;
-            }
-            this.new_chat_session(chatIdGot, true);
-            this.create_session_btn(elDiv, chatIdGot);
-            ui.el_children_config_class(elDiv, chatIdGot, "session-selected", "");
-        });
-        elDiv.appendChild(btnNew);
-        // Btns for existing chat sessions
-        let chatIds = Object.keys(this.simpleChats);
-        for(let cid of chatIds) {
-            let btn = this.create_session_btn(elDiv, cid);
-            if (cid == this.curChatId) {
-                btn.className = "session-selected";
-            }
-        }
-    }
-
-    create_session_btn(elDiv, cid) {
-        let btn = ui.el_create_button(cid, (ev)=>{
-            let target = /** @type{HTMLButtonElement} */(ev.target);
-            console.debug(`DBUG:SimpleChat:MCUI:SessionClick:${target.id}`);
-            if (this.elInUser.disabled) {
-                console.error(`ERRR:SimpleChat:MCUI:SessionClick:${target.id}:Current session [${this.curChatId}] awaiting response, ignoring switch...`);
-                alert("ERRR:SimpleChat\nMCUI:SessionClick\nWait for response to pending query, before switching");
-                return;
-            }
-            this.handle_session_switch(target.id);
-            ui.el_children_config_class(elDiv, target.id, "session-selected", "");
-        });
-        elDiv.appendChild(btn);
-        return btn;
-    }
-
-    /**
-     * Switch ui to the specified chatId and set curChatId to same.
-     * @param {string} chatId
-     */
-    async handle_session_switch(chatId) {
-        let chat = this.simpleChats[chatId];
-        if (chat == undefined) {
-            console.error(`ERRR:SimpleChat:MCUI:HandleSessionSwitch:${chatId} missing...`);
-            return;
-        }
-        this.elInSystem.value = chat.get_system_latest();
-        this.elInUser.value = "";
-        chat.show(this.elDivChat);
-        this.elInUser.focus();
-        this.curChatId = chatId;
-        console.log(`INFO:SimpleChat:MCUI:HandleSessionSwitch:${chatId} entered...`);
-    }
-
-}
-
-
-class Me {
-
-    constructor() {
-        this.baseURL = "http://127.0.0.1:8080";
-        this.defaultChatIds = [ "Default", "Other" ];
-        this.multiChat = new MultiChatUI();
-        this.bStream = true;
-        this.bCompletionFreshChatAlways = true;
-        this.bCompletionInsertStandardRolePrefix = false;
-        this.bTrimGarbage = true;
-        this.iRecentUserMsgCnt = 2;
-        this.sRecentUserMsgCnt = {
-            "Full": -1,
-            "Last0": 1,
-            "Last1": 2,
-            "Last2": 3,
-            "Last4": 5,
-        };
-        this.apiEP = ApiEP.Type.Chat;
-        this.headers = {
-            "Content-Type": "application/json",
-            "Authorization": "", // Authorization: Bearer OPENAI_API_KEY
-        }
-        // Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
-        this.apiRequestOptions = {
-            "model": "gpt-3.5-turbo",
-            "temperature": 0.7,
-            "max_tokens": 1024,
-            "n_predict": 1024,
-            "cache_prompt": false,
-            //"frequency_penalty": 1.2,
-            //"presence_penalty": 1.2,
-        };
-    }
-
-    /**
-     * Disable console.debug by mapping it to a empty function.
-     */
-    debug_disable() {
-        this.console_debug = console.debug;
-        console.debug = () => {
-
-        };
-    }
-
-    /**
-     * Setup the load saved chat ui.
-     * @param {HTMLDivElement} div
-     * @param {SimpleChat} chat
-     */
-    setup_load(div, chat) {
-        if (!(chat.ods_key() in localStorage)) {
-            return;
-        }
-        div.innerHTML += `<p class="role-system">Restore</p>
-        <p>Load previously saved chat session, if available</p>`;
-        let btn = ui.el_create_button(chat.ods_key(), (ev)=>{
-            console.log("DBUG:SimpleChat:SC:Load", chat);
-            chat.load();
-            queueMicrotask(()=>{
-                chat.show(div);
-                this.multiChat.elInSystem.value = chat.get_system_latest();
-            });
-        });
-        div.appendChild(btn);
-    }
-
-    /**
-     * Show the configurable parameters info in the passed Div element.
-     * @param {HTMLDivElement} elDiv
-     * @param {boolean} bAll
-     */
-    show_info(elDiv, bAll=false) {
-
-        let p = ui.el_create_append_p("Settings (devel-tools-console document[gMe])", elDiv);
-        p.className = "role-system";
-
-        if (bAll) {
-
-            ui.el_create_append_p(`baseURL:${this.baseURL}`, elDiv);
-
-            ui.el_create_append_p(`Authorization:${this.headers["Authorization"]}`, elDiv);
-
-            ui.el_create_append_p(`bStream:${this.bStream}`, elDiv);
-
-            ui.el_create_append_p(`bTrimGarbage:${this.bTrimGarbage}`, elDiv);
-
-            ui.el_create_append_p(`ApiEndPoint:${this.apiEP}`, elDiv);
-
-            ui.el_create_append_p(`iRecentUserMsgCnt:${this.iRecentUserMsgCnt}`, elDiv);
-
-            ui.el_create_append_p(`bCompletionFreshChatAlways:${this.bCompletionFreshChatAlways}`, elDiv);
-
-            ui.el_create_append_p(`bCompletionInsertStandardRolePrefix:${this.bCompletionInsertStandardRolePrefix}`, elDiv);
-
-        }
-
-        ui.el_create_append_p(`apiRequestOptions:${JSON.stringify(this.apiRequestOptions, null, " - ")}`, elDiv);
-        ui.el_create_append_p(`headers:${JSON.stringify(this.headers, null, " - ")}`, elDiv);
-
-    }
-
-    /**
-     * Auto create ui input elements for fields in apiRequestOptions
-     * Currently supports text and number field types.
-     * @param {HTMLDivElement} elDiv
-     */
-    show_settings_apirequestoptions(elDiv) {
-        let typeDict = {
-            "string": "text",
-            "number": "number",
-        };
-        let fs = document.createElement("fieldset");
-        let legend = document.createElement("legend");
-        legend.innerText = "ApiRequestOptions";
-        fs.appendChild(legend);
-        elDiv.appendChild(fs);
-        for(const k in this.apiRequestOptions) {
-            let val = this.apiRequestOptions[k];
-            let type = typeof(val);
-            if (((type == "string") || (type == "number"))) {
-                let inp = ui.el_creatediv_input(`Set${k}`, k, typeDict[type], this.apiRequestOptions[k], (val)=>{
-                    if (type == "number") {
-                        val = Number(val);
-                    }
-                    this.apiRequestOptions[k] = val;
-                });
-                fs.appendChild(inp.div);
-            } else if (type == "boolean") {
-                let bbtn = ui.el_creatediv_boolbutton(`Set{k}`, k, {true: "true", false: "false"}, val, (userVal)=>{
-                    this.apiRequestOptions[k] = userVal;
-                });
-                fs.appendChild(bbtn.div);
-            }
-        }
-    }
-
-    /**
-     * Show settings ui for configurable parameters, in the passed Div element.
-     * @param {HTMLDivElement} elDiv
-     */
-    show_settings(elDiv) {
-
-        let inp = ui.el_creatediv_input("SetBaseURL", "BaseURL", "text", this.baseURL, (val)=>{
-            this.baseURL = val;
-        });
-        elDiv.appendChild(inp.div);
-
-        inp = ui.el_creatediv_input("SetAuthorization", "Authorization", "text", this.headers["Authorization"], (val)=>{
-            this.headers["Authorization"] = val;
-        });
-        inp.el.placeholder = "Bearer OPENAI_API_KEY";
-        elDiv.appendChild(inp.div);
-
-        let bb = ui.el_creatediv_boolbutton("SetStream", "Stream", {true: "[+] yes stream", false: "[-] do oneshot"}, this.bStream, (val)=>{
-            this.bStream = val;
-        });
-        elDiv.appendChild(bb.div);
-
-        bb = ui.el_creatediv_boolbutton("SetTrimGarbage", "TrimGarbage", {true: "[+] yes trim", false: "[-] dont trim"}, this.bTrimGarbage, (val)=>{
-            this.bTrimGarbage = val;
-        });
-        elDiv.appendChild(bb.div);
-
-        this.show_settings_apirequestoptions(elDiv);
-
-        let sel = ui.el_creatediv_select("SetApiEP", "ApiEndPoint", ApiEP.Type, this.apiEP, (val)=>{
-            this.apiEP = ApiEP.Type[val];
-        });
-        elDiv.appendChild(sel.div);
-
-        sel = ui.el_creatediv_select("SetChatHistoryInCtxt", "ChatHistoryInCtxt", this.sRecentUserMsgCnt, this.iRecentUserMsgCnt, (val)=>{
-            this.iRecentUserMsgCnt = this.sRecentUserMsgCnt[val];
-        });
-        elDiv.appendChild(sel.div);
-
-        bb = ui.el_creatediv_boolbutton("SetCompletionFreshChatAlways", "CompletionFreshChatAlways", {true: "[+] yes fresh", false: "[-] no, with history"}, this.bCompletionFreshChatAlways, (val)=>{
-            this.bCompletionFreshChatAlways = val;
-        });
-        elDiv.appendChild(bb.div);
-
-        bb = ui.el_creatediv_boolbutton("SetCompletionInsertStandardRolePrefix", "CompletionInsertStandardRolePrefix", {true: "[+] yes insert", false: "[-] dont insert"}, this.bCompletionInsertStandardRolePrefix, (val)=>{
-            this.bCompletionInsertStandardRolePrefix = val;
-        });
-        elDiv.appendChild(bb.div);
-
-    }
-
-}
-
-
-/** @type {Me} */
-let gMe;
-
-function startme() {
-    console.log("INFO:SimpleChat:StartMe:Starting...");
-    gMe = new Me();
-    gMe.debug_disable();
-    document["gMe"] = gMe;
-    document["du"] = du;
-    for (let cid of gMe.defaultChatIds) {
-        gMe.multiChat.new_chat_session(cid);
-    }
-    gMe.multiChat.setup_ui(gMe.defaultChatIds[0], true);
-    gMe.multiChat.show_sessions();
-}
-
-document.addEventListener("DOMContentLoaded", startme);
diff --git a/tools/server/public_simplechat/simplechat_screens.webp b/tools/server/public_simplechat/simplechat_screens.webp
deleted file mode 100644
index 7965fe35b30c80b8b1e64b5fde1f7a3319773173..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/simplechat_screens.webp
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9d70c7afed86b5793328df0343d6a7efad3531beac67d6d41a613b742bbd7676
-size 21376
diff --git a/tools/server/public_simplechat/ui.mjs b/tools/server/public_simplechat/ui.mjs
deleted file mode 100644
index afa619a0663739c42679c72560400fda9a7708a6..0000000000000000000000000000000000000000
--- a/tools/server/public_simplechat/ui.mjs
+++ /dev/null
@@ -1,211 +0,0 @@
-//@ts-check
-// Helpers to work with html elements
-// by Humans for All
-//
-
-
-/**
- * Set the class of the children, based on whether it is the idSelected or not.
- * @param {HTMLDivElement} elBase
- * @param {string} idSelected
- * @param {string} classSelected
- * @param {string} classUnSelected
- */
-export function el_children_config_class(elBase, idSelected, classSelected, classUnSelected="") {
-    for(let child of elBase.children) {
-        if (child.id == idSelected) {
-            child.className = classSelected;
-        } else {
-            child.className = classUnSelected;
-        }
-    }
-}
-
-/**
- * Create button and set it up.
- * @param {string} id
- * @param {(this: HTMLButtonElement, ev: MouseEvent) => any} callback
- * @param {string | undefined} name
- * @param {string | undefined} innerText
- */
-export function el_create_button(id, callback, name=undefined, innerText=undefined) {
-    if (!name) {
-        name = id;
-    }
-    if (!innerText) {
-        innerText = id;
-    }
-    let btn = document.createElement("button");
-    btn.id = id;
-    btn.name = name;
-    btn.innerText = innerText;
-    btn.addEventListener("click", callback);
-    return btn;
-}
-
-/**
- * Create a para and set it up. Optionally append it to a passed parent.
- * @param {string} text
- * @param {HTMLElement | undefined} elParent
- * @param {string | undefined} id
- */
-export function el_create_append_p(text, elParent=undefined, id=undefined) {
-    let para = document.createElement("p");
-    para.innerText = text;
-    if (id) {
-        para.id = id;
-    }
-    if (elParent) {
-        elParent.appendChild(para);
-    }
-    return para;
-}
-
-/**
- * Create a button which represents bool value using specified text wrt true and false.
- * When ever user clicks the button, it will toggle the value and update the shown text.
- *
- * @param {string} id
- * @param {{true: string, false: string}} texts
- * @param {boolean} defaultValue
- * @param {function(boolean):void} cb
- */
-export function el_create_boolbutton(id, texts, defaultValue, cb) {
-    let el = document.createElement("button");
-    el["xbool"] = defaultValue;
-    el["xtexts"] = structuredClone(texts);
-    el.innerText = el["xtexts"][String(defaultValue)];
-    if (id) {
-        el.id = id;
-    }
-    el.addEventListener('click', (ev)=>{
-        el["xbool"] = !el["xbool"];
-        el.innerText = el["xtexts"][String(el["xbool"])];
-        cb(el["xbool"]);
-    })
-    return el;
-}
-
-/**
- * Create a div wrapped button which represents bool value using specified text wrt true and false.
- * @param {string} id
- * @param {string} label
- * @param {{ true: string; false: string; }} texts
- * @param {boolean} defaultValue
- * @param {(arg0: boolean) => void} cb
- * @param {string} className
- */
-export function el_creatediv_boolbutton(id, label, texts, defaultValue, cb, className="gridx2") {
-    let div = document.createElement("div");
-    div.className = className;
-    let lbl = document.createElement("label");
-    lbl.setAttribute("for", id);
-    lbl.innerText = label;
-    div.appendChild(lbl);
-    let btn = el_create_boolbutton(id, texts, defaultValue, cb);
-    div.appendChild(btn);
-    return { div: div, el: btn };
-}
-
-
-/**
- * Create a select ui element, with a set of options to select from.
- * * options: an object which contains name-value pairs
- * * defaultOption: the value whose name should be chosen, by default.
- * * cb : the call back returns the name string of the option selected.
- *
- * @param {string} id
- * @param {Object<string,*>} options
- * @param {*} defaultOption
- * @param {function(string):void} cb
- */
-export function el_create_select(id, options, defaultOption, cb) {
-    let el = document.createElement("select");
-    el["xselected"] = defaultOption;
-    el["xoptions"] = structuredClone(options);
-    for(let cur of Object.keys(options)) {
-        let op = document.createElement("option");
-        op.value = cur;
-        op.innerText = cur;
-        if (options[cur] == defaultOption) {
-            op.selected = true;
-        }
-        el.appendChild(op);
-    }
-    if (id) {
-        el.id = id;
-        el.name = id;
-    }
-    el.addEventListener('change', (ev)=>{
-        let target = /** @type{HTMLSelectElement} */(ev.target);
-        console.log("DBUG:UI:Select:", id, ":", target.value);
-        cb(target.value);
-    })
-    return el;
-}
-
-/**
- * Create a div wrapped select ui element, with a set of options to select from.
- *
- * @param {string} id
- * @param {any} label
- * @param {{ [x: string]: any; }} options
- * @param {any} defaultOption
- * @param {(arg0: string) => void} cb
- * @param {string} className
- */
-export function el_creatediv_select(id, label, options, defaultOption, cb, className="gridx2") {
-    let div = document.createElement("div");
-    div.className = className;
-    let lbl = document.createElement("label");
-    lbl.setAttribute("for", id);
-    lbl.innerText = label;
-    div.appendChild(lbl);
-    let sel = el_create_select(id, options,defaultOption, cb);
-    div.appendChild(sel);
-    return { div: div, el: sel };
-}
-
-
-/**
- * Create a input ui element.
- *
- * @param {string} id
- * @param {string} type
- * @param {any} defaultValue
- * @param {function(any):void} cb
- */
-export function el_create_input(id, type, defaultValue, cb) {
-    let el = document.createElement("input");
-    el.type = type;
-    el.value = defaultValue;
-    if (id) {
-        el.id = id;
-    }
-    el.addEventListener('change', (ev)=>{
-        cb(el.value);
-    })
-    return el;
-}
-
-/**
- * Create a div wrapped input.
- *
- * @param {string} id
- * @param {string} label
- * @param {string} type
- * @param {any} defaultValue
- * @param {function(any):void} cb
- * @param {string} className
- */
-export function el_creatediv_input(id, label, type, defaultValue, cb, className="gridx2") {
-    let div = document.createElement("div");
-    div.className = className;
-    let lbl = document.createElement("label");
-    lbl.setAttribute("for", id);
-    lbl.innerText = label;
-    div.appendChild(lbl);
-    let el = el_create_input(id, type, defaultValue, cb);
-    div.appendChild(el);
-    return { div: div, el: el };
-}
diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp
index 59ea11fc47eeea15de325181dd58d3f58fb24edd..cae64884b364dba75b2cc6fecf9ca486717a5d0f 100644
--- a/tools/server/server-common.cpp
+++ b/tools/server/server-common.cpp
@@ -84,6 +84,18 @@ std::string gen_tool_call_id() {
     return random_string();
 }
 
+const char * get_media_marker() {
+    static const std::string marker = []() {
+        // allow user to pin a reproducible marker via env var
+        const char * env = getenv("LLAMA_MEDIA_MARKER");
+        if (env && env[0] != '\0') {
+            return std::string(env);
+        }
+        return std::string("<__media_") + random_string() + "__>";
+    }();
+    return marker.c_str();
+}
+
 //
 // lora utils
 //
@@ -379,15 +391,25 @@ void server_tokens::push_back(server_tokens & tokens) {
 }
 
 void server_tokens::insert(const llama_tokens & inp_tokens) {
-    GGML_ASSERT(!has_mtmd); // only allow this if mtmd is disabled
     tokens.insert(tokens.end(), inp_tokens.begin(), inp_tokens.end());
 }
 
-const llama_tokens & server_tokens::get_text_tokens() const {
-    GGML_ASSERT(!has_mtmd); // only allow this if mtmd is disabled
+const llama_tokens & server_tokens::get_tokens() const {
+    GGML_ASSERT(!has_mtmd);
     return tokens;
 }
 
+llama_tokens server_tokens::get_text_tokens() const {
+    llama_tokens res;
+    res.reserve(tokens.size());
+    for (llama_token t : tokens) {
+        if (t != LLAMA_TOKEN_NULL) {
+            res.push_back(t);
+        }
+    }
+    return res;
+}
+
 void server_tokens::set_token(llama_pos pos, llama_token id) {
     GGML_ASSERT(!has_mtmd); // only allow this if mtmd is disabled
     tokens[pos] = id;
@@ -975,7 +997,7 @@ json oaicompat_chat_params_parse(
                 handle_media(out_files, image_url, opt.media_path);
 
                 p["type"] = "media_marker";
-                p["text"] = mtmd_default_marker();
+                p["text"] = get_media_marker();
                 p.erase("image_url");
 
             } else if (type == "input_audio") {
@@ -996,7 +1018,7 @@ json oaicompat_chat_params_parse(
                 // TODO: add audio_url support by reusing handle_media()
 
                 p["type"] = "media_marker";
-                p["text"] = mtmd_default_marker();
+                p["text"] = get_media_marker();
                 p.erase("input_audio");
 
             } else if (type != "text") {
@@ -1081,20 +1103,21 @@ json oaicompat_chat_params_parse(
         }
     }
 
-    llama_params["chat_format"]      = static_cast<int>(chat_params.format);
-    llama_params["prompt"]           = chat_params.prompt;
+    llama_params["chat_format"] = static_cast<int>(chat_params.format);
+    llama_params["prompt"]      = chat_params.prompt;
     if (!chat_params.grammar.empty()) {
-        llama_params["grammar"] = chat_params.grammar;
+        llama_params["grammar"]      = chat_params.grammar;
+        llama_params["grammar_type"] = std::string("tool_calls");
     }
-    llama_params["grammar_lazy"]     = chat_params.grammar_lazy;
-    auto grammar_triggers = json::array();
+    llama_params["grammar_lazy"] = chat_params.grammar_lazy;
+    auto grammar_triggers        = json::array();
     for (const auto & trigger : chat_params.grammar_triggers) {
         server_grammar_trigger ct(trigger);
         grammar_triggers.push_back(ct.to_json());
     }
-    llama_params["grammar_triggers"] = grammar_triggers;
-    llama_params["preserved_tokens"] = chat_params.preserved_tokens;
-    llama_params["thinking_forced_open"]     = chat_params.thinking_forced_open;
+    llama_params["grammar_triggers"]  = grammar_triggers;
+    llama_params["preserved_tokens"]  = chat_params.preserved_tokens;
+    llama_params["generation_prompt"] = chat_params.generation_prompt;
     for (const auto & stop : chat_params.additional_stops) {
         llama_params["stop"].push_back(stop);
     }
@@ -1109,12 +1132,11 @@ json oaicompat_chat_params_parse(
             reasoning_budget = json_value(body, "thinking_budget_tokens", -1);
         }
 
-        if (reasoning_budget >= 0 && !chat_params.thinking_end_tag.empty()) {
+        if (!chat_params.thinking_end_tag.empty()) {
             llama_params["reasoning_budget_tokens"] = reasoning_budget;
             llama_params["reasoning_budget_start_tag"] = chat_params.thinking_start_tag;
             llama_params["reasoning_budget_end_tag"] = chat_params.thinking_end_tag;
             llama_params["reasoning_budget_message"] = opt.reasoning_budget_message;
-            llama_params["reasoning_budget_activate_immediately"] = chat_params.thinking_forced_open;
         }
     }
 
@@ -1433,6 +1455,60 @@ json convert_responses_to_chatcmpl(const json & response_body) {
     return chatcmpl_body;
 }
 
+json convert_transcriptions_to_chatcmpl(
+        const json & inp_body,
+        const std::map<std::string, raw_buffer> & in_files,
+        std::vector<raw_buffer> & out_files) {
+    // TODO @ngxson : this function may need to be improved in the future
+    // handle input files
+    out_files.clear();
+    auto it = in_files.find("file");
+    if (it != in_files.end()) {
+        out_files.push_back(it->second);
+    } else {
+        throw std::invalid_argument("No input file found for transcription");
+    }
+
+    // handle input data
+    std::string prompt = json_value(inp_body, "prompt", std::string());
+    std::string language = json_value(inp_body, "language", std::string());
+    std::string response_format = json_value(inp_body, "response_format", std::string("json"));
+    if (response_format != "json") {
+        throw std::invalid_argument("Only 'json' response_format is supported for transcription");
+    }
+    if (prompt.empty()) {
+        prompt = "Transcribe audio to text";
+    }
+    if (!language.empty()) {
+        prompt += string_format(" (language: %s)", language.c_str());
+    }
+    prompt += get_media_marker();
+
+    json chatcmpl_body = inp_body; // copy all fields
+    chatcmpl_body["messages"] = json::array({
+        {
+            {"role", "user"},
+            {"content", prompt},
+        },
+    });
+
+    // because input from form-data, everything is string, we need to correct the types here
+    std::string stream = json_value(inp_body, "stream", std::string("false"));
+    chatcmpl_body["stream"] = stream == "true";
+
+    if (inp_body.contains("max_tokens")) {
+        std::string inp = inp_body["max_tokens"].get<std::string>();
+        chatcmpl_body["max_tokens"] = std::stoul(inp);
+    }
+
+    if (inp_body.contains("temperature")) {
+        std::string inp = inp_body["temperature"].get<std::string>();
+        chatcmpl_body["temperature"] = std::stof(inp);
+    }
+
+    return chatcmpl_body;
+}
+
 json convert_anthropic_to_oai(const json & body) {
     json oai_body;
 
diff --git a/tools/server/server-common.h b/tools/server/server-common.h
index 213ae52bb09e605ea1d11f18de70ce6b8ee6f7d0..093a43453c212f389dc26e617ebef60cf5194bd3 100644
--- a/tools/server/server-common.h
+++ b/tools/server/server-common.h
@@ -92,6 +92,9 @@ std::string random_string();
 std::string gen_chatcmplid();
 std::string gen_tool_call_id();
 
+// get a random marker; note: each time the server restarts, the marker will be different
+const char * get_media_marker();
+
 //
 // lora utils
 //
@@ -187,7 +190,9 @@ public:
     void insert(const llama_tokens & inp_tokens);
 
     // for compatibility with speculative decoding, ctx shift, slot save/load
-    const llama_tokens & get_text_tokens() const;
+    const llama_tokens & get_tokens() const;
+
+    llama_tokens get_text_tokens() const;
 
     // for compatibility with speculative decoding
     void set_token(llama_pos pos, llama_token id);
@@ -305,6 +310,12 @@ json oaicompat_chat_params_parse(
 // convert OpenAI Responses API format to OpenAI Chat Completions API format
 json convert_responses_to_chatcmpl(const json & body);
 
+// convert OpenAI transcriptions API format to OpenAI Chat Completions API format
+json convert_transcriptions_to_chatcmpl(
+    const json & body,
+    const std::map<std::string, raw_buffer> & in_files,
+    std::vector<raw_buffer> & out_files);
+
 // convert Anthropic Messages API format to OpenAI Chat Completions API format
 json convert_anthropic_to_oai(const json & body);
 
diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp
index 1e5ff101c85678c9fc40314185e4f9b1b9e9e5dd..a5372572f015c758877237adafa092658d83432d 100644
--- a/tools/server/server-context.cpp
+++ b/tools/server/server-context.cpp
@@ -1,9 +1,11 @@
+
 #include "server-context.h"
 #include "server-common.h"
 #include "server-http.h"
 #include "server-task.h"
 #include "server-queue.h"
 
+#include "build-info.h"
 #include "common.h"
 #include "llama.h"
 #include "log.h"
@@ -15,8 +17,10 @@
 #include <algorithm>
 #include <cstddef>
 #include <cinttypes>
+#include <exception>
 #include <memory>
 #include <filesystem>
+#include <utility>
 
 // fix problem with std::min and std::max
 #if defined(_WIN32)
@@ -31,6 +35,31 @@ using json = nlohmann::ordered_json;
 
 constexpr int HTTP_POLLING_SECONDS = 1;
 
+static server_prompt_checkpoint server_get_checkpoint(llama_context * ctx, int id, int64_t n_tokens, llama_pos pos_min = -1, llama_pos pos_max = -1) {
+    if (pos_min == -1) {
+        pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), id);
+    }
+    if (pos_max == -1) {
+        pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), id);
+    }
+
+    const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx, id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+
+    auto cur = server_prompt_checkpoint {
+        /*.pos_min  = */ pos_min,
+        /*.pos_max  = */ pos_max,
+        /*.n_tokens = */ n_tokens,
+        /*.data     = */ std::vector<uint8_t>(checkpoint_size),
+    };
+
+    const size_t n = llama_state_seq_get_data_ext(ctx, cur.data.data(), checkpoint_size, id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+    if (n != checkpoint_size) {
+        GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", checkpoint_size, n);
+    }
+
+    return cur;
+}
+
 // state diagram: https://github.com/ggml-org/llama.cpp/pull/9283
 enum slot_state {
     SLOT_STATE_IDLE,
@@ -49,13 +78,18 @@ enum server_state {
 struct server_slot {
     int id;
 
-    // TODO: change to unique_ptrs for consistency:
     llama_context * ctx = nullptr;
 
+    common_context_seq_rm_type ctx_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
+
     // multimodal
     mtmd_context * mctx = nullptr;
 
-    common_speculative * spec = nullptr;
+    // speculative decoding
+    llama_tokens spec_draft;
+    std::vector<int32_t> spec_i_batch;
+    server_prompt_checkpoint spec_ckpt;
+    common_speculative_ptr spec;
 
     // TODO: move members that belong to the task (such as `generated_text`, `has_new_line`) to task_results_state
     //       see https://github.com/ggml-org/llama.cpp/pull/18283#issuecomment-3710175837
@@ -81,11 +115,6 @@ struct server_slot {
     std::string  debug_generated_text;
     llama_tokens generated_tokens;
 
-    // idx of draft tokens in the main batch
-    // non-empty if we went to evaluate draft tokens
-    // ref: https://github.com/ggml-org/llama.cpp/pull/17808
-    std::vector<int32_t> i_batch_dft;
-
     std::vector<completion_token_output> generated_token_probs;
 
     bool has_next_token = true;
@@ -145,8 +174,7 @@ struct server_slot {
 
     common_sampler_ptr smpl;
 
-    llama_token  sampled; // in speculative mode, this is the last accepted token
-    llama_tokens drafted;
+    llama_token sampled; // in speculative mode, this is the last accepted token
 
     // stats
     size_t n_sent_text = 0; // number of sent text character
@@ -154,8 +182,8 @@ struct server_slot {
     int64_t t_start_process_prompt;
     int64_t t_start_generation;
 
-    double t_prompt_processing; // ms
-    double t_token_generation;  // ms
+    double t_prompt_processing = 0.0; // ms
+    double t_token_generation = 0.0;  // ms
 
     std::function<void(int /* id_slot */)> callback_on_release;
 
@@ -176,8 +204,11 @@ struct server_slot {
         stopping_word  = "";
         n_sent_text    = 0;
 
-        drafted.clear();
-        i_batch_dft.clear();
+        if (can_speculate()) {
+            spec_draft.clear();
+            spec_i_batch.clear();
+            spec_ckpt.clear();
+        }
         generated_tokens.clear();
         generated_token_probs.clear();
         json_schema = json();
@@ -298,6 +329,83 @@ struct server_slot {
         return n_draft_max;
     }
 
+    void update_batch(llama_batch & batch) {
+        const int n_draft_max = get_n_draft_max();
+        if (n_draft_max > 0) {
+            GGML_ASSERT(can_speculate());
+
+            // generate draft tokens in speculative decoding mode
+            // TODO: rework to have a single draft llama_context shared across all slots [TAG_SERVER_SPEC_REWORK]
+            //       perform the speculative drafting for all sequences at the same time in a single batch
+            const llama_tokens & tokens = prompt.tokens.get_text_tokens();
+
+            const auto & params_spec = task->params.speculative;
+
+            if (!spec_draft.empty()) {
+                // we have a previous (partial) draft to reuse
+                if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+                    GGML_ASSERT(!spec_ckpt.empty());
+                }
+            } else {
+                GGML_ASSERT(spec_i_batch.empty());
+
+                // generate a new draft
+                spec_draft = common_speculative_draft(spec.get(), params_spec, tokens, sampled);
+
+                if (spec_draft.size() > (size_t) n_draft_max) {
+                    SLT_WRN(*this, "draft size %d exceeds max %d, truncating\n", (int) spec_draft.size(), n_draft_max);
+                    spec_draft.resize(n_draft_max);
+                }
+
+                if (spec_draft.size() < (size_t) params_spec.n_min) {
+                    SLT_DBG(*this, "ignoring small draft: %d < %d\n", (int) spec_draft.size(), params_spec.n_min);
+                    spec_draft.clear();
+                }
+
+                if (!spec_draft.empty() && ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+                    const auto n_tokens = prompt.tokens.size();
+
+                    spec_ckpt = server_get_checkpoint(ctx, this->id, n_tokens);
+
+                    SLT_DBG(*this, "created speculative checkpoint (pos_min = %d, pos_max = %d, n_tokens = %zu, size = %.3f MiB)\n",
+                            spec_ckpt.pos_min, spec_ckpt.pos_max, n_tokens, (float) spec_ckpt.data.size() / 1024 / 1024);
+                }
+            }
+
+            GGML_ASSERT(spec_draft.size() <= (size_t) n_draft_max);
+        }
+
+        if (spec_draft.empty()) {
+            // no speculative decoding
+            i_batch = batch.n_tokens;
+
+            common_batch_add(batch, sampled, prompt.tokens.pos_next(), { this->id }, true);
+
+            SLT_DBG(*this, "slot decode token, id=%d, n_ctx = %d, n_tokens = %d, truncated = %d\n",
+                    sampled, n_ctx, prompt.n_tokens(), truncated);
+        } else {
+            SLT_DBG(*this, "generate_draft: id=%d, #tokens=%zu, #draft=%zu, pos_next=%d\n",
+                    sampled, prompt.tokens.size(), spec_draft.size(), prompt.tokens.pos_next());
+
+            GGML_ASSERT(spec_i_batch.empty());
+
+            spec_i_batch.push_back(batch.n_tokens);
+            for (size_t i = 0; i < spec_draft.size(); i++) {
+                spec_i_batch.push_back(batch.n_tokens + i + 1);
+            }
+
+            auto pos0 = prompt.tokens.pos_next();
+
+            common_batch_add(batch, sampled, pos0++, { this->id }, true);
+            for (auto token : spec_draft) {
+                common_batch_add(batch, token, pos0++, { this->id }, true);
+            }
+        }
+
+        prompt.tokens.push_back(sampled);
+        prompt.tokens.insert(spec_draft);
+    }
+
     void release() {
         if (is_processing()) {
             GGML_ASSERT(task);
@@ -398,7 +506,7 @@ struct server_slot {
             );
         }
 
-        common_speculative_print_stats(spec);
+        common_speculative_print_stats(spec.get());
     }
 
     json to_json(bool only_metrics = false) const {
@@ -589,21 +697,33 @@ private:
 
     void destroy() {
         llama_init.reset();
+
         ctx = nullptr;
         model = nullptr;
 
         mtmd_free(mctx);
         mctx = nullptr;
 
-        // Clear any sampling context
         for (server_slot & slot : slots) {
-            common_speculative_free(slot.spec);
-            slot.spec = nullptr;
+            if (slot.can_speculate()) {
+                slot.spec.reset();
+            }
         }
 
         llama_batch_free(batch);
     }
 
+    void slot_save_and_clear(server_slot & slot) {
+        if (slot.prompt.n_tokens() == 0) {
+            return;
+        }
+        SLT_INF(slot, "%s", "saving idle slot to prompt cache\n");
+        SLT_DBG(slot, "%s", "__TEST_TAG_CLEAR_IDLE_SLOT__\n");
+        slot.prompt_save(*prompt_cache);
+        slot.prompt_clear(false);
+        prompt_cache->update();
+    }
+
     void handle_sleeping_state(bool new_state) {
         GGML_ASSERT(sleeping != new_state);
         if (new_state) {
@@ -620,7 +740,7 @@ private:
 
     // load the model and initialize llama_context
     // this may also be called to resume from sleeping state
-    bool load_model(const common_params & params) {
+    bool load_model(common_params & params) {
         bool is_resume = sleeping;
 
         SRV_INF("loading model '%s'\n", params.model.path.c_str());
@@ -644,6 +764,7 @@ private:
         add_bos_token = llama_vocab_get_add_bos(vocab);
 
         if (params_base.speculative.has_dft()) {
+            // TODO speculative: move to common/speculative.cpp?
             SRV_INF("loading draft model '%s'\n", params_base.speculative.mparams_dft.path.c_str());
 
             const auto & params_spec = params_base.speculative;
@@ -693,6 +814,7 @@ private:
             mparams.warmup           = params_base.warmup;
             mparams.image_min_tokens = params_base.image_min_tokens;
             mparams.image_max_tokens = params_base.image_max_tokens;
+            mparams.media_marker     = get_media_marker();
 
             mctx = mtmd_init_from_file(mmproj_path.c_str(), model, mparams);
             if (mctx == nullptr) {
@@ -710,11 +832,6 @@ private:
                 params_base.n_cache_reuse = 0;
                 SRV_WRN("%s\n", "cache_reuse is not supported by multimodal, it will be disabled");
             }
-
-            if (params_base.speculative.type != COMMON_SPECULATIVE_TYPE_NONE) {
-                params_base.speculative.type =  COMMON_SPECULATIVE_TYPE_NONE;
-                SRV_WRN("%s\n", "speculative decoding is not supported by multimodal, it will be disabled");
-            }
         }
 
         if (!llama_memory_can_shift(llama_get_memory(ctx))) {
@@ -752,33 +869,38 @@ private:
 
         slots.clear();
 
-        const bool can_spec = common_speculative_is_compat(ctx);
-        if (!can_spec) {
+        const auto ctx_seq_rm_type = common_context_can_seq_rm(ctx);
+        if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_NO) {
             SRV_WRN("%s", "speculative decoding not supported by this context\n");
         }
 
+        if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+            SRV_WRN("%s", "speculative decoding will use checkpoints\n");
+        }
+
         // initialize slots
         for (int i = 0; i < params_base.n_parallel; i++) {
-            server_slot slot;
+            slots.emplace_back();
+        }
+
+        for (int i = 0; i < params_base.n_parallel; i++) {
+            server_slot & slot = slots[i];
 
             slot.id    = i;
             slot.ctx   = ctx;
             slot.n_ctx = n_ctx_slot;
 
+            slot.ctx_seq_rm_type = ctx_seq_rm_type;
+
             slot.mctx                   = mctx;
             slot.prompt.tokens.has_mtmd = mctx != nullptr;
 
             // try speculative decoding
-            if (can_spec) {
-                slot.spec = common_speculative_init(params_base.speculative, slot.ctx);
+            if (ctx_seq_rm_type != COMMON_CONTEXT_SEQ_RM_TYPE_NO) {
+                slot.spec.reset(common_speculative_init(params_base.speculative, slot.ctx));
+
                 if (slot.spec) {
-                    if (mctx) {
-                        SRV_ERR("%s\n", "speculative decoding is not supported with multimodal");
-                        return false;
-                    }
                     SLT_INF(slot, "%s", "speculative decoding context initialized\n");
-                } else {
-                    SLT_INF(slot, "%s", "speculative decoding context not initialized\n");
                 }
             }
 
@@ -789,8 +911,6 @@ private:
             };
 
             slot.reset();
-
-            slots.push_back(std::move(slot));
         }
 
         {
@@ -837,6 +957,9 @@ private:
         model_aliases = params_base.model_alias;
         model_tags    = params_base.model_tags;
 
+        // propagate new defaults back to caller
+        params = params_base;
+
         if (!is_resume) {
             return init();
         }
@@ -863,6 +986,19 @@ private:
 
         metrics.init();
 
+        if (params_base.cache_idle_slots) {
+            if (!params_base.kv_unified) {
+                SRV_WRN("%s: --cache-idle-slots requires --kv-unified, disabling\n", __func__);
+                params_base.cache_idle_slots = false;
+            } else if (params_base.cache_ram_mib == 0) {
+                SRV_WRN("%s: --cache-idle-slots requires --cache-ram, disabling\n", __func__);
+                params_base.cache_idle_slots = false;
+            } else {
+                SRV_INF("%s: idle slots will be saved to prompt cache and cleared upon starting a new task\n", __func__);
+                SRV_DBG("%s", "__TEST_TAG_CLEAR_IDLE_ENABLED__\n");
+            }
+        }
+
         // populate webui settings
         {
             if (!params_base.webui_config_json.empty()) {
@@ -1009,15 +1145,15 @@ private:
             // cache prompts only for completion tasks
             update_cache = update_cache && task.type == SERVER_TASK_TYPE_COMPLETION;
 
-            // don't update the cache if the slot's context is empty
-            update_cache = update_cache && tokens.size() > 0;
-
             if (update_cache) {
                 SRV_WRN("%s", "updating prompt cache\n");
 
                 const int64_t t_start = ggml_time_us();
 
-                ret->prompt_save(*prompt_cache);
+                // don't save the slot's state if its context is empty
+                if (tokens.size() > 0) {
+                    ret->prompt_save(*prompt_cache);
+                }
 
                 if (!ret->prompt_load(*prompt_cache, task.tokens)) {
                     ret->prompt_clear(false);
@@ -1152,11 +1288,11 @@ private:
 
         // initialize samplers
         if (task.need_sampling()) {
-            slot.smpl.reset(common_sampler_init(model, task.params.sampling));
-
-            if (slot.smpl == nullptr) {
-                // for now, the only error that may happen here is invalid grammar
-                send_error(task, "Failed to parse grammar", ERROR_TYPE_INVALID_REQUEST);
+            try {
+                slot.smpl.reset(common_sampler_init(model, task.params.sampling));
+            } catch (std::exception & e) {
+                std::string err_msg = std::string("Failed to initialize samplers: ") + e.what();
+                send_error(task, err_msg, ERROR_TYPE_INVALID_REQUEST);
                 return false;
             }
 
@@ -1167,7 +1303,7 @@ private:
             backend_sampling &= task.params.sampling.backend_sampling;
 
             // TODO: speculative decoding requires multiple samples per batch - not supported yet
-            backend_sampling &= !(slot.spec && task.params.speculative.n_max > 0);
+            backend_sampling &= !(slot.can_speculate() && task.params.speculative.n_max > 0);
 
             // TODO: getting post/pre sampling logits is not yet supported with backend sampling
             backend_sampling &= !need_logits;
@@ -1431,9 +1567,10 @@ private:
             res->tokens  = { tkn.tok };
         }
 
-        res->n_decoded           = slot.n_decoded;
-        res->n_prompt_tokens     = slot.task->n_tokens();
-        res->post_sampling_probs = slot.task->params.post_sampling_probs;
+        res->n_decoded             = slot.n_decoded;
+        res->n_prompt_tokens       = slot.task->n_tokens();
+        res->n_prompt_tokens_cache = slot.n_prompt_tokens_cache;
+        res->post_sampling_probs   = slot.task->params.post_sampling_probs;
 
         res->verbose           = slot.task->params.verbose;
         res->res_type          = slot.task->params.res_type;
@@ -1478,14 +1615,15 @@ private:
         res->prompt          = slot.task->tokens.detokenize(ctx, true);
         res->response_fields = std::move(slot.task->params.response_fields);
 
-        res->truncated           = slot.truncated;
-        res->n_decoded           = slot.n_decoded;
-        res->n_prompt_tokens     = slot.task->n_tokens();
-        res->n_tokens_cached     = slot.prompt.n_tokens();
-        res->has_new_line        = slot.has_new_line;
-        res->stopping_word       = slot.stopping_word;
-        res->stop                = slot.stop;
-        res->post_sampling_probs = slot.task->params.post_sampling_probs;
+        res->truncated             = slot.truncated;
+        res->n_decoded             = slot.n_decoded;
+        res->n_prompt_tokens       = slot.task->n_tokens();
+        res->n_prompt_tokens_cache = slot.n_prompt_tokens_cache;
+        res->n_tokens_cached       = slot.prompt.n_tokens();
+        res->has_new_line          = slot.has_new_line;
+        res->stopping_word         = slot.stopping_word;
+        res->stop                  = slot.stop;
+        res->post_sampling_probs   = slot.task->params.post_sampling_probs;
 
         res->verbose           = slot.task->params.verbose;
         res->stream            = slot.task->params.stream;
@@ -1671,6 +1809,26 @@ private:
         return true;
     }
 
+    // n_tokens_cur: the number of tokens added to the batch for the current slot
+    void create_checkpoint(server_slot & slot, const int64_t n_tokens_cur, llama_pos pos_min, llama_pos pos_max) {
+        while (slot.prompt.checkpoints.size() >= (size_t) params_base.n_ctx_checkpoints) {
+            // make room for the new checkpoint, if needed
+            const auto & cur = slot.prompt.checkpoints.front();
+
+            SLT_WRN(slot, "erasing old context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n",
+                    cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
+
+            slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin());
+        }
+
+        const auto & cur = slot.prompt.checkpoints.emplace_back(server_get_checkpoint(ctx, slot.id, slot.prompt.n_tokens() - n_tokens_cur, pos_min, pos_max));
+
+        SLT_WRN(slot,
+                "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n",
+                (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min,
+                cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
+    }
+
     void process_single_task(server_task && task) {
         switch (task.type) {
             case SERVER_TASK_TYPE_COMPLETION:
@@ -1689,9 +1847,7 @@ private:
                     const int id_slot = task.id_slot;
                     const int id_task = task.id;
 
-                    server_slot * slot = id_slot != -1
-                                            ? get_slot_by_id(id_slot)
-                                            : get_available_slot(task);
+                    server_slot * slot = id_slot != -1 ? get_slot_by_id(id_slot) : get_available_slot(task);
 
                     //
                     // slot scheduling logic
@@ -1728,6 +1884,14 @@ private:
                         SRV_ERR("failed to launch slot with task, id_task = %d\n", id_task);
                         break; // drop the task
                     }
+
+                    if (params_base.cache_idle_slots) {
+                        for (auto & s : slots) {
+                            if (!s.is_processing()) {
+                                slot_save_and_clear(s);
+                            }
+                        }
+                    }
                 } break;
             case SERVER_TASK_TYPE_CANCEL:
                 {
@@ -1816,7 +1980,7 @@ private:
                     std::string filename = task.slot_action.filename;
                     std::string filepath = task.slot_action.filepath;
 
-                    const llama_tokens & tokens = slot->prompt.tokens.get_text_tokens();
+                    const llama_tokens & tokens = slot->prompt.tokens.get_tokens();
                     const size_t nwrite = llama_state_seq_save_file(ctx, filepath.c_str(), slot->id, tokens.data(), token_count);
 
                     const int64_t t_end = ggml_time_us();
@@ -2023,7 +2187,7 @@ private:
                 {
                     GGML_ASSERT(!slot.prompt.tokens.has_mtmd);
 
-                    llama_tokens new_tokens = slot.prompt.tokens.get_text_tokens(); // copy
+                    llama_tokens new_tokens = slot.prompt.tokens.get_tokens(); // copy
                     for (size_t i = n_keep + n_discard; i < new_tokens.size(); i++) {
                         new_tokens[i - n_discard] = new_tokens[i];
                     }
@@ -2062,61 +2226,7 @@ private:
                 continue;
             }
 
-            // generate draft tokens in speculative decoding mode
-            // TODO: rework to have a single draft llama_context shared across all slots [TAG_SERVER_SPEC_REWORK]
-            //       perform the speculative drafting for all sequences at the same time in a single batch
-            const int n_draft_max = slot.get_n_draft_max();
-            if (n_draft_max > 0) {
-                if (mctx) {
-                    // we should never reach this, as speculative is automatically disabled if mmproj is loaded
-                    GGML_ABORT("not supported by multimodal");
-                }
-
-                const llama_tokens & cached_text_tokens = slot.prompt.tokens.get_text_tokens();
-
-                const auto & params_spec = slot.task->params.speculative;
-
-                llama_tokens draft = common_speculative_draft(slot.spec, params_spec, cached_text_tokens, slot.sampled);
-
-                if (draft.size() > (size_t) n_draft_max) {
-                    SLT_WRN(slot, "draft size %d exceeds max %d, truncating\n", (int) draft.size(), n_draft_max);
-                    draft.resize(n_draft_max);
-                }
-
-                // add the sampled token to the batch
-                slot.i_batch_dft.push_back(batch.n_tokens);
-                common_batch_add(batch, slot.sampled, slot.prompt.tokens.pos_next(), { slot.id }, true);
-                slot.prompt.tokens.push_back(slot.sampled);
-
-                if (slot.task->params.speculative.n_min > (int) draft.size()) {
-                    SLT_DBG(slot, "ignoring small draft: %d < %d\n", (int) draft.size(), slot.task->params.speculative.n_min);
-                    // fallback to normal decoding
-                    slot.i_batch = slot.i_batch_dft[0];
-                    slot.drafted.clear();
-                    slot.i_batch_dft.clear();
-                } else {
-                    // keep track of total number of drafted tokens tested
-                    slot.n_draft_total += draft.size();
-
-                    // add all drafted tokens to the batch
-                    for (size_t i = 0; i < draft.size(); i++) {
-                        slot.i_batch_dft.push_back(batch.n_tokens);
-                        common_batch_add(batch, draft[i], slot.prompt.tokens.pos_next(), { slot.id }, true);
-                        slot.prompt.tokens.push_back(draft[i]);
-                    }
-                    slot.drafted = std::move(draft);
-                }
-            } else {
-                // no speculative decoding
-                slot.i_batch = batch.n_tokens;
-
-                common_batch_add(batch, slot.sampled, slot.prompt.tokens.pos_next(), { slot.id }, true);
-
-                slot.prompt.tokens.push_back(slot.sampled);
-
-                SLT_DBG(slot, "slot decode token, n_ctx = %d, n_tokens = %d, truncated = %d\n",
-                        slot.n_ctx, slot.prompt.n_tokens(), slot.truncated);
-            }
+            slot.update_batch(batch);
         }
 
         // process in chunks of params.n_batch
@@ -2304,8 +2414,8 @@ private:
 
                             llama_pos pos_next = slot.prompt.tokens.pos_next(n_past);
 
-                            // note: when n_swa == 0, the model does not use SWA, which is equivalent to a window of 1
-                            const auto n_swa = std::max(1, llama_model_n_swa(model));
+                            // note: when n_swa == 0, the model does not use SWA
+                            const auto n_swa = std::max(0, llama_model_n_swa(model));
 
                             // the largest pos_min required for a checkpoint to be useful
                             const auto pos_min_thold = std::max(0, pos_next - n_swa);
@@ -2360,7 +2470,7 @@ private:
                                     SLT_WRN(slot, "%s\n", st1.str().c_str());
                                 }
 
-                                if (pos_min > pos_min_thold) {
+                                if (pos_min >= pos_min_thold) {
                                     SLT_WRN(slot, "n_past = %d, slot.prompt.tokens.size() = %d, seq_id = %d, pos_min = %d, n_swa = %d\n", n_past, (int) slot.prompt.tokens.size(), slot.id, pos_min, n_swa);
 
                                     // search for a context checkpoint
@@ -2371,7 +2481,7 @@ private:
                                             // guarantee that a checkpoint will result in at least one token being processed [TAG_PROMPT_LOGITS]
                                             LOG_INF("slot %12.*s: id %2d | task %d | Checking checkpoint with [%d, %d] against %d...\n", 12,
                                                 func_name, (slot).id, ((slot).task ? (slot).task->id : -1), cur.pos_min, cur.pos_max, pos_min_thold);
-                                            return cur.pos_min < pos_min_thold;
+                                            return cur.pos_min < pos_min_thold || cur.pos_min == 0;
                                         }
                                     );
 
@@ -2456,10 +2566,37 @@ private:
                         slot.n_prompt_tokens_cache = 0;
                     }
 
+                    // If using an alora, there may be uncached tokens that come
+                    // before the invocation sequence. When this happens, the
+                    // tokens before the invocation sequence need to be
+                    // processed without the adapter in a separate batch, then
+                    // the adapter needs to be enabled for the remaining tokens.
+                    if (lora_all_alora(slot.lora) && slot.alora_invocation_start - 1 > slot.prompt.n_tokens()) {
+                        SLT_DBG(slot, "processing pre-alora tokens without the adapter (n_tokens = %d, alora_invocation_start = %d)\n", slot.prompt.n_tokens(), slot.alora_invocation_start);
+                        const auto & enabled_loras = lora_get_enabled_ids(slot.lora);
+                        GGML_ASSERT(enabled_loras.size() == 1);
+                        alora_scale = slot.lora[enabled_loras[0]].scale;
+                        slot.lora[enabled_loras[0]].scale = 0.0f;
+                        alora_disabled_id = enabled_loras[0];
+                    }
+
                     bool do_checkpoint = params_base.n_ctx_checkpoints > 0;
 
+                    // make checkpoints only for completion tasks
+                    do_checkpoint = do_checkpoint && slot.task->type == SERVER_TASK_TYPE_COMPLETION;
+
+                    // make a checkpoint of the parts of the memory that cannot be rolled back.
+                    // checkpoints are created only if:
+                    // - the model does not support partial sequence removal
+                    // - the model uses SWA and we are not using `swa_full`
+                    do_checkpoint = do_checkpoint && (
+                            (slot.ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) ||
+                            (llama_model_n_swa(model) > 0 && !params_base.swa_full));
+
+                    bool has_mtmd = false;
+
                     // check if we should process the image
-                    if (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) {
+                    while (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) {
                         // process the image
                         size_t n_tokens_out = 0;
                         int32_t res = input_tokens.process_chunk(ctx, mctx, slot.prompt.n_tokens(), slot.prompt.tokens.pos_next(), slot.id, n_tokens_out);
@@ -2478,38 +2615,9 @@ private:
                             slot.prompt.tokens.push_back(chunk.get()); // copy
                         }
 
-                        do_checkpoint = false; // do not checkpoint right after an image chunk
+                        has_mtmd = true;
                     }
 
-                    // If using an alora, there may be uncached tokens that come
-                    // before the invocation sequence. When this happens, the
-                    // tokens before the invocation sequence need to be
-                    // processed without the adapter in a separate batch, then
-                    // the adapter needs to be enabled for the remaining tokens.
-                    if (lora_all_alora(slot.lora) && slot.alora_invocation_start - 1 > slot.prompt.n_tokens()) {
-                        SLT_DBG(slot, "processing pre-alora tokens without the adapter (n_tokens = %d, alora_invocation_start = %d)\n", slot.prompt.n_tokens(), slot.alora_invocation_start);
-                        const auto & enabled_loras = lora_get_enabled_ids(slot.lora);
-                        GGML_ASSERT(enabled_loras.size() == 1);
-                        alora_scale = slot.lora[enabled_loras[0]].scale;
-                        slot.lora[enabled_loras[0]].scale = 0.0f;
-                        alora_disabled_id = enabled_loras[0];
-                    }
-
-                    // make checkpoints only for completion tasks
-                    do_checkpoint = do_checkpoint && slot.task->type == SERVER_TASK_TYPE_COMPLETION;
-
-                    // make a checkpoint of the parts of the memory that cannot be rolled back.
-                    // checkpoints are created only if:
-                    // - the model uses SWA and we are not using `swa_full`
-                    // - the model architecture is marked as recurrent or hybrid
-                    //
-                    // TODO: try to make this conditional on the context or the memory module, instead of the model type
-                    do_checkpoint = do_checkpoint && (
-                            llama_model_is_recurrent(model) ||
-                            llama_model_is_hybrid(model) ||
-                            (llama_model_n_swa(model) > 0 && !params_base.swa_full)
-                            );
-
                     // add prompt tokens for processing in the current batch
                     while (slot.prompt.n_tokens() < slot.task->n_tokens() && batch.n_tokens < n_batch) {
                         // get next token to process
@@ -2541,13 +2649,13 @@ private:
                         //  - 4 + n_ubatch
                         //  - 4
                         // ref: https://github.com/ggml-org/llama.cpp/pull/20288
-                        {
+                        if (do_checkpoint) {
                             static const int checkpoint_offsets[] = {4 + n_ubatch, 4};
 
                             bool should_break = false;
                             for (int offset : checkpoint_offsets) {
                                 const int n_last = std::min(n_batch, offset);
-                                if (do_checkpoint && slot.task->n_tokens() == slot.prompt.n_tokens() + n_last) {
+                                if (slot.task->n_tokens() == slot.prompt.n_tokens() + n_last) {
                                     should_break = true;
                                     break;
                                 }
@@ -2604,44 +2712,19 @@ private:
                     const auto pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), slot.id);
 
                     // no need for empty or small checkpoints
-                    do_checkpoint = do_checkpoint && (pos_min >= 0 && pos_max >= 64);
+                    do_checkpoint = do_checkpoint && (pos_min >= 0 && slot.prompt.n_tokens() >= 64);
+
+                    // do not checkpoint after mtmd chunks
+                    do_checkpoint = do_checkpoint && !has_mtmd;
 
                     // no need to create checkpoints that are too close together
-                    do_checkpoint = do_checkpoint && (slot.prompt.checkpoints.empty() || pos_max > slot.prompt.checkpoints.back().pos_max + 64);
+                    do_checkpoint = do_checkpoint && (slot.prompt.checkpoints.empty() || slot.prompt.n_tokens() - n_tokens_cur > slot.prompt.checkpoints.back().n_tokens + 64);
+                    SLT_DBG(slot, "main/do_checkpoint = %s, pos_min = %d, pos_max = %d\n", do_checkpoint ? "yes" : "no", pos_min, pos_max);
 
                     // note: we create the checkpoint before calling llama_decode(), so the current batch is not
                     //       yet processed and therefore it is not part of the checkpoint.
                     if (do_checkpoint) {
-                        while (slot.prompt.checkpoints.size() >= (size_t) params_base.n_ctx_checkpoints) {
-                            // make room for the new checkpoint, if needed
-                            const auto & cur = slot.prompt.checkpoints.front();
-
-                            SLT_WRN(slot,
-                                    "erasing old context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64
-                                    ", size = %.3f MiB)\n",
-                                    cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
-
-                            slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin());
-                        }
-
-                        const size_t checkpoint_size =
-                            llama_state_seq_get_size_ext(ctx, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
-
-                        auto & cur = slot.prompt.checkpoints.emplace_back(server_prompt_checkpoint{
-                            /*.pos_min  = */ pos_min,
-                            /*.pos_max  = */ pos_max,
-                            /*.n_tokens = */ slot.prompt.n_tokens() - n_tokens_cur,
-                            /*.data     = */ std::vector<uint8_t>(checkpoint_size),
-                        });
-
-                        llama_state_seq_get_data_ext(ctx, cur.data.data(), checkpoint_size, slot.id,
-                                                     LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
-
-                        SLT_WRN(slot,
-                                "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64
-                                ", size = %.3f MiB)\n",
-                                (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min,
-                                cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
+                        create_checkpoint(slot, n_tokens_cur, pos_min, pos_max);
                     }
                 }
 
@@ -2813,19 +2896,19 @@ private:
                     slot.state = SLOT_STATE_GENERATING;
 
                     if (slot.can_speculate()) {
-                        common_speculative_begin(slot.spec, slot.prompt.tokens.get_text_tokens());
+                        common_speculative_begin(slot.spec.get(), slot.prompt.tokens.get_text_tokens());
                     }
                 } else if (slot.state != SLOT_STATE_GENERATING) {
                     continue; // continue loop of slots
                 }
 
-                if (slot.i_batch_dft.size() > 0) {
+                if (slot.can_speculate() && !slot.spec_draft.empty()) {
                     continue; // sample using speculative decoding
                 }
 
                 const int tok_idx = slot.i_batch - i;
 
-                llama_token id = common_sampler_sample(slot.smpl.get(), ctx, tok_idx);
+                llama_token id = common_sampler_sample(slot.smpl.get(), slot.ctx, tok_idx);
 
                 slot.i_batch = -1;
 
@@ -2846,7 +2929,7 @@ private:
 
                 completion_token_output result;
                 result.tok          = id;
-                result.text_to_send = common_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok));
+                result.text_to_send = common_token_to_piece(slot.ctx, result.tok, accept_special_token(slot, result.tok));
                 result.prob         = 1.0f; // TODO: set it here instead of doing inside populate_token_probs
 
                 if (slot.task->params.sampling.n_probs > 0) {
@@ -2866,43 +2949,85 @@ private:
 
             // speculative decoding - main model sample and accept
             for (auto & slot : slots) {
-                if (slot.state != SLOT_STATE_GENERATING || slot.i_batch_dft.empty()) {
+                if (slot.state != SLOT_STATE_GENERATING || !slot.can_speculate() || slot.spec_draft.empty()) {
                     continue;
                 }
 
-                const size_t n_draft = slot.drafted.size();
+                // save the original draft size
+                const size_t n_draft = slot.spec_draft.size();
+
+                GGML_ASSERT(n_draft > 0);
+
+                // verify and try to accept the draft
+                {
+                    common_sampler_ptr smpl_save(common_sampler_clone(slot.smpl.get()));
 
-                // the accepted tokens from the speculation
-                const auto ids = common_sampler_sample_and_accept_n(slot.smpl.get(), ctx, slot.i_batch_dft, slot.drafted);
-                slot.i_batch_dft.clear();
-                slot.drafted.clear();
+                    GGML_ASSERT(slot.spec_i_batch.size() == n_draft + 1);
+                    auto accepted = common_sampler_sample_and_accept_n(slot.smpl.get(), slot.ctx, slot.spec_i_batch, slot.spec_draft);
+                    slot.spec_i_batch.clear();
+
+                    SLT_DBG(slot, "%s: n_draft=%zu, accepted=%zu\n", __func__, slot.spec_draft.size(), accepted.size());
+
+                    GGML_ASSERT(accepted.size() >= 1);
+
+                    // check for partial draft acceptance
+                    if (accepted.size() < slot.spec_draft.size() + 1) {
+                        if (slot.ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+                            // partial acceptance is not supported by the context -> truncate the draft and restore the state
+                            slot.spec_draft = std::move(accepted);
+
+                            const auto & ckpt = slot.spec_ckpt;
+
+                            SLT_DBG(slot, "restoring speculative checkpoint (pos_min = %d, pos_max = %d, size = %zu)\n",
+                                    ckpt.pos_min, ckpt.pos_max, ckpt.size());
+
+                            const size_t n = llama_state_seq_set_data_ext(slot.ctx, ckpt.data.data(), ckpt.size(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+                            if (n != ckpt.size()) {
+                                GGML_ABORT("%s: failed to restore context checkpoint (pos_min=%d, pos_max=%d, size=%zu, get_data_ext->%zu, set_data_ext->%zu",
+                                        __func__, ckpt.pos_min, ckpt.pos_max, ckpt.size(), ckpt.size(), n);
+                            }
+
+                            llama_memory_seq_rm(llama_get_memory(slot.ctx), slot.id, ckpt.pos_max + 1, -1);
+
+                            slot.prompt.tokens.keep_first(ckpt.n_tokens);
+                            slot.smpl = std::move(smpl_save);
+
+                            continue;
+                        }
+
+                        LOG_DBG("%s: partial acceptance: %zu < %zu\n", __func__, accepted.size(), slot.spec_draft.size());
+                    }
+
+                    common_speculative_accept(slot.spec.get(), accepted.size() - 1);
+
+                    slot.spec_draft = std::move(accepted);
+                }
 
                 const int64_t t_current = ggml_time_us();
 
-                slot.n_decoded += ids.size();
+                const auto ids = std::move(slot.spec_draft);
 
+                slot.n_decoded += ids.size();
                 slot.t_token_generation = std::max<int64_t>(1, t_current - slot.t_start_generation) / 1e3;
 
                 // update how many tokens out of those tested were accepted
                 slot.n_draft_accepted += ids.size() - 1;
-
-                // inform the speculative decoding about the number of accepted tokens
-                common_speculative_accept(slot.spec, ids.size() - 1);
-
-                // rollback to the state before sampling the draft tokens
-                slot.prompt.tokens.keep_first(slot.prompt.n_tokens() - n_draft);
+                slot.n_draft_total += n_draft;
 
                 // add accepted tokens to the prompt
+                slot.prompt.tokens.keep_first(slot.prompt.n_tokens() - n_draft);
                 slot.prompt.tokens.insert({ids.begin(), ids.end() - 1});
+
                 slot.sampled = ids.back(); // last accepted token
+                SLT_DBG(slot, "add accepted tokens: sampled=%d, ids.size=%zu, n_draft=%zu\n", slot.sampled, ids.size(), n_draft);
 
-                llama_memory_seq_rm(llama_get_memory(ctx), slot.id, slot.prompt.n_tokens(), -1);
+                llama_memory_seq_rm(llama_get_memory(slot.ctx), slot.id, slot.prompt.n_tokens(), -1);
 
                 for (size_t i = 0; i < ids.size(); ++i) {
                     completion_token_output result;
 
                     result.tok          = ids[i];
-                    result.text_to_send = common_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok));
+                    result.text_to_send = common_token_to_piece(slot.ctx, result.tok, accept_special_token(slot, result.tok));
                     result.prob         = 1.0f; // set later
 
                     // TODO: set result.probs
@@ -2940,7 +3065,7 @@ private:
 server_context::server_context() : impl(new server_context_impl()) {}
 server_context::~server_context() = default;
 
-bool server_context::load_model(const common_params & params) {
+bool server_context::load_model(common_params & params) {
     return impl->load_model(params);
 }
 
@@ -2968,7 +3093,7 @@ server_context_meta server_context::get_meta() const {
     auto eos_token_str = eos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx, eos_id, true) : "";
 
     return server_context_meta {
-        /* build_info             */ build_info,
+        /* build_info             */ std::string(llama_build_info()),
         /* model_name             */ impl->model_name,
         /* model_aliases          */ impl->model_aliases,
         /* model_tags             */ impl->model_tags,
@@ -2992,6 +3117,8 @@ server_context_meta server_context::get_meta() const {
         /* fim_rep_token          */ llama_vocab_fim_rep(impl->vocab),
         /* fim_sep_token          */ llama_vocab_fim_sep(impl->vocab),
 
+        /* logit_bias_eog         */ impl->params_base.sampling.logit_bias_eog,
+
         /* model_vocab_type       */ llama_vocab_type(impl->vocab),
         /* model_vocab_n_tokens   */ llama_vocab_n_tokens(impl->vocab),
         /* model_n_ctx_train      */ llama_model_n_ctx_train(impl->model),
@@ -3025,6 +3152,9 @@ struct server_res_generator : server_http_res {
     }
 };
 
+void server_context::on_sleeping_changed(std::function<void(bool)> callback) {
+    impl->queue_tasks.on_sleeping_state(std::move(callback));
+}
 
 
 //
@@ -3073,6 +3203,7 @@ std::unique_ptr<server_res_generator> server_routes::handle_completions_impl(
                     ctx_server.vocab,
                     params,
                     meta->slot_n_ctx,
+                    meta->logit_bias_eog,
                     data);
             task.id_slot = json_value(data, "id_slot", -1);
 
@@ -3488,6 +3619,7 @@ void server_routes::init_routes() {
                 {"vision", meta->has_inp_image},
                 {"audio",  meta->has_inp_audio},
             } },
+            { "media_marker",                get_media_marker() },
             { "endpoint_slots",              params.endpoint_slots },
             { "endpoint_props",              params.endpoint_props },
             { "endpoint_metrics",            params.endpoint_metrics },
@@ -3521,34 +3653,6 @@ void server_routes::init_routes() {
         return res;
     };
 
-    this->get_api_show = [this](const server_http_req &) {
-        auto res = create_response();
-        std::string tmpl_default = common_chat_templates_source(meta->chat_params.tmpls.get(), "");
-        json data = {
-            {
-                "model_info", {
-                    { "llama.context_length", meta->slot_n_ctx },
-                }
-            },
-            {"modelfile", ""},
-            {"parameters", ""},
-            {"template", tmpl_default},
-            {"details", {
-                {"parent_model", ""},
-                {"format", "gguf"},
-                {"family", ""},
-                {"families", {""}},
-                {"parameter_size", ""},
-                {"quantization_level", ""}
-            }},
-            {"model_info", ""},
-            {"capabilities", meta->has_mtmd ? json({"completion","multimodal"}) : json({"completion"})}
-        };
-
-        res->ok(data);
-        return res;
-    };
-
     this->post_infill = [this](const server_http_req & req) {
         auto res = create_response();
         // check model compatibility
@@ -3615,7 +3719,7 @@ void server_routes::init_routes() {
             params.n_predict,
             meta->slot_n_ctx,
             params.spm_infill,
-            tokenized_prompts[0].get_text_tokens() // TODO: this could maybe be multimodal.
+            tokenized_prompts[0].get_tokens() // TODO: this could maybe be multimodal.
         );
 
         std::vector<raw_buffer> files; // dummy
@@ -3685,6 +3789,33 @@ void server_routes::init_routes() {
             TASK_RESPONSE_TYPE_OAI_RESP);
     };
 
+    this->post_transcriptions_oai = [this](const server_http_req & req) {
+        auto res = create_response();
+
+        if (!meta->has_mtmd || !meta->chat_params.allow_audio) {
+            res->error(format_error_response("The current model does not support audio input.", ERROR_TYPE_NOT_SUPPORTED));
+            return res;
+        }
+
+        std::vector<raw_buffer> files;
+        json body = convert_transcriptions_to_chatcmpl(
+            json::parse(req.body),
+            req.files,
+            files);
+        SRV_DBG("%s\n", "Request converted: OpenAI Transcriptions -> OpenAI Chat Completions");
+        SRV_DBG("converted request: %s\n", body.dump().c_str());
+        json body_parsed = oaicompat_chat_params_parse(
+            body,
+            meta->chat_params,
+            files);
+        return handle_completions_impl(
+            req,
+            SERVER_TASK_TYPE_COMPLETION,
+            body_parsed,
+            files,
+            TASK_RESPONSE_TYPE_OAI_ASR);
+    };
+
     this->post_anthropic_messages = [this](const server_http_req & req) {
         auto res = create_response();
         std::vector<raw_buffer> files;
diff --git a/tools/server/server-context.h b/tools/server/server-context.h
index 75f3d2de56884b7cf3d6e5a7750eb5d4be1eb518..37f10dc77929366ffed5d41fa55150f273f87de3 100644
--- a/tools/server/server-context.h
+++ b/tools/server/server-context.h
@@ -39,6 +39,9 @@ struct server_context_meta {
     llama_token fim_rep_token;
     llama_token fim_sep_token;
 
+    // sampling
+    std::vector<llama_logit_bias> logit_bias_eog;
+
     // model meta
     enum llama_vocab_type model_vocab_type;
     int32_t model_vocab_n_tokens;
@@ -56,7 +59,7 @@ struct server_context {
 
     // load the model and initialize llama_context
     // returns true on success
-    bool load_model(const common_params & params);
+    bool load_model(common_params & params);
 
     // this function will block main thread until termination
     void start_loop();
@@ -74,6 +77,10 @@ struct server_context {
     // get server metadata (read-only), can only be called after load_model()
     // not thread-safe, should only be used from the main thread
     server_context_meta get_meta() const;
+
+    // register a callback to be called when sleeping state changes
+    // must be set before load_model() is called
+    void on_sleeping_changed(std::function<void(bool)> callback);
 };
 
 
@@ -98,12 +105,12 @@ struct server_routes {
     server_http_context::handler_t post_slots;
     server_http_context::handler_t get_props;
     server_http_context::handler_t post_props;
-    server_http_context::handler_t get_api_show;
     server_http_context::handler_t post_infill;
     server_http_context::handler_t post_completions;
     server_http_context::handler_t post_completions_oai;
     server_http_context::handler_t post_chat_completions;
     server_http_context::handler_t post_responses_oai;
+    server_http_context::handler_t post_transcriptions_oai;
     server_http_context::handler_t post_anthropic_messages;
     server_http_context::handler_t post_anthropic_count_tokens;
     server_http_context::handler_t post_apply_template;
diff --git a/tools/server/server-cors-proxy.h b/tools/server/server-cors-proxy.h
index c412d4c252339368f2a450ebb848fe491b70d173..887013152bffb8eadbaa8ec64d47ba7d903701eb 100644
--- a/tools/server/server-cors-proxy.h
+++ b/tools/server/server-cors-proxy.h
@@ -32,13 +32,22 @@ static server_http_res_ptr proxy_request(const server_http_req & req, std::strin
 
     SRV_INF("proxying %s request to %s://%s:%i%s\n", method.c_str(), parsed_url.scheme.c_str(), parsed_url.host.c_str(), parsed_url.port, parsed_url.path.c_str());
 
+    std::map<std::string, std::string> headers;
+    for (auto [key, value] : req.headers) {
+        auto new_key = key;
+        if (string_starts_with(new_key, "x-proxy-header-")) {
+            string_replace_all(new_key, "x-proxy-header-", "");
+        }
+        headers[new_key] = value;
+    }
+
     auto proxy = std::make_unique<server_http_proxy>(
             method,
             parsed_url.scheme,
             parsed_url.host,
             parsed_url.port,
             parsed_url.path,
-            req.headers,
+            headers,
             req.body,
             req.should_stop,
             600, // timeout_read (default to 10 minutes)
diff --git a/tools/server/server-http.cpp b/tools/server/server-http.cpp
index 129022a7119696fb40b2809fa544101fb06aa9b5..ae39fbff9bdac362e58fd4d6e4c8b3c9eae4ab8e 100644
--- a/tools/server/server-http.cpp
+++ b/tools/server/server-http.cpp
@@ -8,9 +8,13 @@
 #include <string>
 #include <thread>
 
+#ifdef LLAMA_BUILD_WEBUI
 // auto generated files (see README.md for details)
-#include "index.html.gz.hpp"
+#include "index.html.hpp"
+#include "bundle.js.hpp"
+#include "bundle.css.hpp"
 #include "loading.html.hpp"
+#endif
 
 //
 // HTTP implementation using cpp-httplib
@@ -110,6 +114,16 @@ bool server_http_context::init(const common_params & params) {
     // set timeouts and change hostname and port
     srv->set_read_timeout (params.timeout_read);
     srv->set_write_timeout(params.timeout_write);
+    srv->set_socket_options([reuse_port = params.reuse_port](socket_t sock) {
+        httplib::set_socket_opt(sock, SOL_SOCKET, SO_REUSEADDR, 1);
+        if (reuse_port) {
+#ifdef SO_REUSEPORT
+            httplib::set_socket_opt(sock, SOL_SOCKET, SO_REUSEPORT, 1);
+#else
+            LOG_WRN("%s: SO_REUSEPORT is not supported\n", __func__);
+#endif
+        }
+    });
 
     if (params.api_keys.size() == 1) {
         auto key = params.api_keys[0];
@@ -129,7 +143,10 @@ bool server_http_context::init(const common_params & params) {
             "/v1/health",
             "/models",
             "/v1/models",
-            "/api/tags"
+            "/",
+            "/index.html",
+            "/bundle.js",
+            "/bundle.css",
         };
 
         // If API key is not set, skip validation
@@ -137,8 +154,8 @@ bool server_http_context::init(const common_params & params) {
             return true;
         }
 
-        // If path is public or is static file, skip validation
-        if (public_endpoints.find(req.path) != public_endpoints.end() || req.path == "/") {
+        // If path is public or static file, skip validation
+        if (public_endpoints.find(req.path) != public_endpoints.end()) {
             return true;
         }
 
@@ -181,11 +198,14 @@ bool server_http_context::init(const common_params & params) {
     auto middleware_server_state = [this](const httplib::Request & req, httplib::Response & res) {
         bool ready = is_ready.load();
         if (!ready) {
+#ifdef LLAMA_BUILD_WEBUI
             auto tmp = string_split<std::string>(req.path, '.');
             if (req.path == "/" || tmp.back() == "html") {
                 res.status = 503;
                 res.set_content(reinterpret_cast<const char*>(loading_html), loading_html_len, "text/html; charset=utf-8");
-            } else {
+            } else
+#endif
+            {
                 // no endpoints is allowed to be accessed when the server is not ready
                 // this is to prevent any data races or inconsistent states
                 res.status = 503;
@@ -227,11 +247,17 @@ bool server_http_context::init(const common_params & params) {
 
     int n_threads_http = params.n_threads_http;
     if (n_threads_http < 1) {
-        // +2 threads for monitoring endpoints
-        n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
+        // +4 threads for monitoring, health and some threads reserved for MCP and other tasks in the future
+        n_threads_http = std::max(params.n_parallel + 4, (int32_t) std::thread::hardware_concurrency() - 1);
     }
     LOG_INF("%s: using %d threads for HTTP server\n", __func__, n_threads_http);
-    srv->new_task_queue = [n_threads_http] { return new httplib::ThreadPool(n_threads_http); };
+    srv->new_task_queue = [n_threads_http] {
+        // spawn n_threads_http fixed thread (always alive), while allow up to 1024 max possible additional threads
+        // when n_threads_http is used, server will create new "dynamic" threads that will be destroyed after processing each request
+        // ref: https://github.com/yhirose/cpp-httplib/pull/2368
+        size_t max_threads = (size_t)n_threads_http + 1024;
+        return new httplib::ThreadPool(n_threads_http, max_threads);
+    };
 
     //
     // Web UI setup
@@ -249,19 +275,24 @@ bool server_http_context::init(const common_params & params) {
                 return 1;
             }
         } else {
+#ifdef LLAMA_BUILD_WEBUI
             // using embedded static index.html
-            srv->Get(params.api_prefix + "/", [](const httplib::Request & req, httplib::Response & res) {
-                if (req.get_header_value("Accept-Encoding").find("gzip") == std::string::npos) {
-                    res.set_content("Error: gzip is not supported by this browser", "text/plain");
-                } else {
-                    res.set_header("Content-Encoding", "gzip");
-                    // COEP and COOP headers, required by pyodide (python interpreter)
-                    res.set_header("Cross-Origin-Embedder-Policy", "require-corp");
-                    res.set_header("Cross-Origin-Opener-Policy", "same-origin");
-                    res.set_content(reinterpret_cast<const char*>(index_html_gz), index_html_gz_len, "text/html; charset=utf-8");
-                }
+            srv->Get(params.api_prefix + "/", [](const httplib::Request & /*req*/, httplib::Response & res) {
+                // COEP and COOP headers, required by pyodide (python interpreter)
+                res.set_header("Cross-Origin-Embedder-Policy", "require-corp");
+                res.set_header("Cross-Origin-Opener-Policy", "same-origin");
+                res.set_content(reinterpret_cast<const char*>(index_html), index_html_len, "text/html; charset=utf-8");
                 return false;
             });
+            srv->Get(params.api_prefix + "/bundle.js", [](const httplib::Request & /*req*/, httplib::Response & res) {
+                res.set_content(reinterpret_cast<const char*>(bundle_js), bundle_js_len, "application/javascript; charset=utf-8");
+                return false;
+            });
+            srv->Get(params.api_prefix + "/bundle.css", [](const httplib::Request & /*req*/, httplib::Response & res) {
+                res.set_content(reinterpret_cast<const char*>(bundle_css), bundle_css_len, "text/css; charset=utf-8");
+                return false;
+            });
+#endif
         }
     }
     return true;
@@ -365,8 +396,9 @@ static void process_handler_response(server_http_req_ptr && request, server_http
             std::string chunk;
             bool has_next = response->next(chunk);
             if (!chunk.empty()) {
-                // TODO: maybe handle sink.write unsuccessful? for now, we rely on is_connection_closed()
-                sink.write(chunk.data(), chunk.size());
+                if (!sink.write(chunk.data(), chunk.size())) {
+                    return false;
+                }
                 SRV_DBG("http: streamed chunk: %s\n", chunk.c_str());
             }
             if (!has_next) {
@@ -395,6 +427,7 @@ void server_http_context::get(const std::string & path, const server_http_contex
             req.path,
             build_query_string(req),
             req.body,
+            {},
             req.is_connection_closed
         });
         server_http_res_ptr response = handler(*request);
@@ -404,12 +437,39 @@ void server_http_context::get(const std::string & path, const server_http_contex
 
 void server_http_context::post(const std::string & path, const server_http_context::handler_t & handler) const {
     pimpl->srv->Post(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) {
+        std::string body = req.body;
+        std::map<std::string, raw_buffer> files;
+
+        if (req.is_multipart_form_data()) {
+            // translate text fields to a JSON object and use it as the body
+            json form_json = json::object();
+            for (const auto & [key, field] : req.form.fields) {
+                if (form_json.contains(key)) {
+                    // if the key already exists, convert it to an array
+                    if (!form_json[key].is_array()) {
+                        json existing_value = form_json[key];
+                        form_json[key] = json::array({existing_value});
+                    }
+                    form_json[key].push_back(field.content);
+                } else {
+                    form_json[key] = field.content;
+                }
+            }
+            body = form_json.dump();
+
+            // populate files from multipart form
+            for (const auto & [key, file] : req.form.files) {
+                files[key] = raw_buffer(file.content.begin(), file.content.end());
+            }
+        }
+
         server_http_req_ptr request = std::make_unique<server_http_req>(server_http_req{
             get_params(req),
             get_headers(req),
             req.path,
             build_query_string(req),
-            req.body,
+            body,
+            std::move(files),
             req.is_connection_closed
         });
         server_http_res_ptr response = handler(*request);
diff --git a/tools/server/server-http.h b/tools/server/server-http.h
index 3621064cdf30476f36e5738e4a249e3f78ce36ff..68ae2170cf689ead79d5436f43f803b3410a18d1 100644
--- a/tools/server/server-http.h
+++ b/tools/server/server-http.h
@@ -5,6 +5,8 @@
 #include <map>
 #include <string>
 #include <thread>
+#include <vector>
+#include <cstdint>
 
 struct common_params;
 
@@ -32,13 +34,15 @@ struct server_http_res {
 // unique pointer, used by set_chunked_content_provider
 // httplib requires the stream provider to be stored in heap
 using server_http_res_ptr = std::unique_ptr<server_http_res>;
+using raw_buffer = std::vector<uint8_t>;
 
 struct server_http_req {
     std::map<std::string, std::string> params; // path_params + query_params
-    std::map<std::string, std::string> headers; // reserved for future use
+    std::map<std::string, std::string> headers; // used by MCP proxy
     std::string path;
     std::string query_string; // query parameters string (e.g. "action=save")
     std::string body;
+    std::map<std::string, raw_buffer> files; // used for file uploads (form data)
     const std::function<bool()> & should_stop;
 
     std::string get_param(const std::string & key, const std::string & def = "") const {
diff --git a/tools/server/server-models.cpp b/tools/server/server-models.cpp
index c13d48a36348ca1f939e9af8b63d61cbd0f5230b..6066611f51c9d144029f00063d7981b166d35737 100644
--- a/tools/server/server-models.cpp
+++ b/tools/server/server-models.cpp
@@ -1,6 +1,7 @@
 #include "server-common.h"
 #include "server-models.h"
 
+#include "build-info.h"
 #include "preset.h"
 #include "download.h"
 
@@ -39,7 +40,8 @@ extern char **environ;
 #define DEFAULT_STOP_TIMEOUT 10 // seconds
 
 #define CMD_ROUTER_TO_CHILD_EXIT  "cmd_router_to_child:exit"
-#define CMD_CHILD_TO_ROUTER_READY "cmd_child_to_router:ready"
+#define CMD_CHILD_TO_ROUTER_READY "cmd_child_to_router:ready" // also sent when waking up from sleep
+#define CMD_CHILD_TO_ROUTER_SLEEP "cmd_child_to_router:sleep"
 
 // address for child process, this is needed because router may run on 0.0.0.0
 // ref: https://github.com/ggml-org/llama.cpp/issues/17862
@@ -97,6 +99,7 @@ static void unset_reserved_args(common_preset & preset, bool unset_model_args) {
     if (unset_model_args) {
         preset.unset_option("LLAMA_ARG_MODEL");
         preset.unset_option("LLAMA_ARG_MMPROJ");
+        preset.unset_option("LLAMA_ARG_ALIAS");
         preset.unset_option("LLAMA_ARG_HF_REPO");
     }
 }
@@ -380,7 +383,7 @@ void server_models::update_meta(const std::string & name, const server_model_met
     if (it != mapping.end()) {
         it->second.meta = meta;
     }
-    cv.notify_all(); // notify wait_until_loaded
+    cv.notify_all(); // notify wait_until_loading_finished
 }
 
 bool server_models::has_model(const std::string & name) {
@@ -503,7 +506,7 @@ void server_models::unload_lru() {
     {
         std::unique_lock<std::mutex> lk(mutex);
         for (const auto & m : mapping) {
-            if (m.second.meta.is_active()) {
+            if (m.second.meta.is_running()) {
                 count_active++;
                 if (m.second.meta.last_used < lru_last_used) {
                     lru_model_name = m.first;
@@ -539,6 +542,22 @@ void server_models::load(const std::string & name) {
         return;
     }
 
+    // Re-check capacity under the lock to prevent concurrent loads from
+    // exceeding models_max. Without this, the window between unload_lru()
+    // releasing its lock and this lock_guard acquiring allows multiple
+    // threads to each observe capacity and all proceed to load.
+    if (base_params.models_max > 0) {
+        size_t count_active = 0;
+        for (const auto & m : mapping) {
+            if (m.second.meta.is_running()) {
+                count_active++;
+            }
+        }
+        if (count_active >= (size_t)base_params.models_max) {
+            throw std::runtime_error("model limit reached, try again later");
+        }
+    }
+
     // prepare new instance info
     instance_t inst;
     inst.meta           = meta;
@@ -589,15 +608,15 @@ void server_models::load(const std::string & name) {
         std::thread log_thread([&]() {
             // read stdout/stderr and forward to main server log
             // also handle status report from child process
-            bool state_received = false; // true if child state received
             if (stdout_file) {
                 char buffer[4096];
                 while (fgets(buffer, sizeof(buffer), stdout_file) != nullptr) {
                     LOG("[%5d] %s", port, buffer);
-                    if (!state_received && std::strstr(buffer, CMD_CHILD_TO_ROUTER_READY) != nullptr) {
-                        // child process is ready
+                    std::string str(buffer);
+                    if (string_starts_with(buffer, CMD_CHILD_TO_ROUTER_READY)) {
                         this->update_status(name, SERVER_MODEL_STATUS_LOADED, 0);
-                        state_received = true;
+                    } else if (string_starts_with(buffer, CMD_CHILD_TO_ROUTER_SLEEP)) {
+                        this->update_status(name, SERVER_MODEL_STATUS_SLEEPING, 0);
                     }
                 }
             } else {
@@ -606,13 +625,20 @@ void server_models::load(const std::string & name) {
         });
 
         std::thread stopping_thread([&]() {
-            // thread to monitor stopping signal
+            // thread to monitor stopping signal OR child crash
             auto is_stopping = [this, &name]() {
                 return this->stopping_models.find(name) != this->stopping_models.end();
             };
+            auto should_wake = [&]() {
+                return is_stopping() || !subprocess_alive(child_proc.get());
+            };
             {
                 std::unique_lock<std::mutex> lk(this->mutex);
-                this->cv_stop.wait(lk, is_stopping);
+                this->cv_stop.wait(lk, should_wake);
+            }
+            // child may have already exited (e.g. crashed) — skip shutdown sequence
+            if (!subprocess_alive(child_proc.get())) {
+                return;
             }
             SRV_INF("stopping model instance name=%s\n", name.c_str());
             // send interrupt to child process
@@ -683,13 +709,13 @@ void server_models::unload(const std::string & name) {
     std::lock_guard<std::mutex> lk(mutex);
     auto it = mapping.find(name);
     if (it != mapping.end()) {
-        if (it->second.meta.is_active()) {
-            SRV_INF("unloading model instance name=%s\n", name.c_str());
+        if (it->second.meta.is_running()) {
+            SRV_INF("stopping model instance name=%s\n", name.c_str());
             stopping_models.insert(name);
             cv_stop.notify_all();
             // status change will be handled by the managing thread
         } else {
-            SRV_WRN("model instance name=%s is not loaded\n", name.c_str());
+            SRV_WRN("model instance name=%s is not running\n", name.c_str());
         }
     }
 }
@@ -699,8 +725,8 @@ void server_models::unload_all() {
     {
         std::lock_guard<std::mutex> lk(mutex);
         for (auto & [name, inst] : mapping) {
-            if (inst.meta.is_active()) {
-                SRV_INF("unloading model instance name=%s\n", name.c_str());
+            if (inst.meta.is_running()) {
+                SRV_INF("stopping model instance name=%s\n", name.c_str());
                 stopping_models.insert(name);
                 cv_stop.notify_all();
                 // status change will be handled by the managing thread
@@ -727,7 +753,7 @@ void server_models::update_status(const std::string & name, server_model_status
     cv.notify_all();
 }
 
-void server_models::wait_until_loaded(const std::string & name) {
+void server_models::wait_until_loading_finished(const std::string & name) {
     std::unique_lock<std::mutex> lk(mutex);
     cv.wait(lk, [this, &name]() {
         auto it = mapping.find(name);
@@ -738,22 +764,25 @@ void server_models::wait_until_loaded(const std::string & name) {
     });
 }
 
-bool server_models::ensure_model_loaded(const std::string & name) {
+bool server_models::ensure_model_ready(const std::string & name) {
     auto meta = get_meta(name);
     if (!meta.has_value()) {
         throw std::runtime_error("model name=" + name + " is not found");
     }
-    if (meta->status == SERVER_MODEL_STATUS_LOADED) {
-        return false; // already loaded
+    if (meta->is_ready()) {
+        return false; // ready for taking requests
+    }
+    if (meta->status == SERVER_MODEL_STATUS_SLEEPING) {
+        return false; // child is sleeping but still running; new request will wake it up
     }
     if (meta->status == SERVER_MODEL_STATUS_UNLOADED) {
         SRV_INF("model name=%s is not loaded, loading...\n", name.c_str());
         load(name);
     }
 
-    // for loading state
+    // wait for loading to complete
     SRV_INF("waiting until model name=%s is fully loaded...\n", name.c_str());
-    wait_until_loaded(name);
+    wait_until_loading_finished(name);
 
     // check final status
     meta = get_meta(name);
@@ -769,8 +798,8 @@ server_http_res_ptr server_models::proxy_request(const server_http_req & req, co
     if (!meta.has_value()) {
         throw std::runtime_error("model name=" + name + " is not found");
     }
-    if (meta->status != SERVER_MODEL_STATUS_LOADED) {
-        throw std::invalid_argument("model name=" + name + " is not loaded");
+    if (!meta->is_running()) {
+        throw std::invalid_argument("model name=" + name + " is not running");
     }
     if (update_last_used) {
         std::unique_lock<std::mutex> lk(mutex);
@@ -796,6 +825,11 @@ server_http_res_ptr server_models::proxy_request(const server_http_req & req, co
     return proxy;
 }
 
+bool server_models::is_child_server() {
+    const char * router_port = std::getenv("LLAMA_SERVER_ROUTER_PORT");
+    return router_port != nullptr;
+}
+
 std::thread server_models::setup_child_server(const std::function<void(int)> & shutdown_handler) {
     // send a notification to the router server that a model instance is ready
     common_log_pause(common_log_main());
@@ -829,6 +863,13 @@ std::thread server_models::setup_child_server(const std::function<void(int)> & s
     });
 }
 
+void server_models::notify_router_sleeping_state(bool is_sleeping) {
+    common_log_pause(common_log_main());
+    fflush(stdout);
+    fprintf(stdout, "%s\n", is_sleeping ? CMD_CHILD_TO_ROUTER_SLEEP : CMD_CHILD_TO_ROUTER_READY);
+    fflush(stdout);
+    common_log_resume(common_log_main());
+}
 
 
 //
@@ -858,9 +899,9 @@ static bool router_validate_model(std::string & name, server_models & models, bo
     // resolve alias to canonical model name
     name = meta->name;
     if (models_autoload) {
-        models.ensure_model_loaded(name);
+        models.ensure_model_ready(name);
     } else {
-        if (meta->status != SERVER_MODEL_STATUS_LOADED) {
+        if (!meta->is_running()) {
             res_err(res, format_error_response("model is not loaded", ERROR_TYPE_INVALID_REQUEST));
             return false;
         }
@@ -886,7 +927,8 @@ void server_models_routes::init_routes() {
             res_ok(res, {
                 // TODO: add support for this on web UI
                 {"role",          "router"},
-                {"max_instances", 4}, // dummy value for testing
+                {"max_instances", params.models_max},
+                {"models_autoload", params.models_autoload},
                 // this is a dummy response to make sure webui doesn't break
                 {"model_alias", "llama-server"},
                 {"model_path",  "none"},
@@ -895,6 +937,7 @@ void server_models_routes::init_routes() {
                     {"n_ctx",  0},
                 }},
                 {"webui_settings", webui_settings},
+                {"build_info",     std::string(llama_build_info())},
             });
             return res;
         }
@@ -933,8 +976,8 @@ void server_models_routes::init_routes() {
             res_err(res, format_error_response("model is not found", ERROR_TYPE_NOT_FOUND));
             return res;
         }
-        if (meta->status == SERVER_MODEL_STATUS_LOADED) {
-            res_err(res, format_error_response("model is already loaded", ERROR_TYPE_INVALID_REQUEST));
+        if (meta->is_running()) {
+            res_err(res, format_error_response("model is already running", ERROR_TYPE_INVALID_REQUEST));
             return res;
         }
         models.load(meta->name);
@@ -992,8 +1035,8 @@ void server_models_routes::init_routes() {
             res_err(res, format_error_response("model is not found", ERROR_TYPE_INVALID_REQUEST));
             return res;
         }
-        if (!model->is_active()) {
-            res_err(res, format_error_response("model is not loaded", ERROR_TYPE_INVALID_REQUEST));
+        if (!model->is_running()) {
+            res_err(res, format_error_response("model is not running", ERROR_TYPE_INVALID_REQUEST));
             return res;
         }
         models.unload(model->name);
@@ -1104,7 +1147,7 @@ server_http_proxy::server_http_proxy(
 
     // setup Client
     cli->set_follow_location(true);
-    cli->set_connection_timeout(5, 0); // 5 seconds
+    cli->set_connection_timeout(timeout_read, 0); // use --timeout value instead of hardcoded 5 s
     cli->set_write_timeout(timeout_read, 0); // reversed for cli (client) vs srv (server)
     cli->set_read_timeout(timeout_write, 0);
     this->status = 500; // to be overwritten upon response
@@ -1157,8 +1200,13 @@ server_http_proxy::server_http_proxy(
                 // disable Accept-Encoding to avoid compressed responses
                 continue;
             }
+            if (key == "Transfer-Encoding") {
+                // the body is already decoded
+                continue;
+            }
             if (key == "Host" || key == "host") {
-                req.set_header(key, host);
+                bool is_default_port = (scheme == "https" && port == 443) || (scheme == "http" && port == 80);
+                req.set_header(key, is_default_port ? host : host + ":" + std::to_string(port));
             } else {
                 req.set_header(key, value);
             }
diff --git a/tools/server/server-models.h b/tools/server/server-models.h
index 2b392f299a031a3efce28e00cfa6ba3ee0356e26..1db34b6c4df1bda1d6d075dd1cdb8fd4576beab0 100644
--- a/tools/server/server-models.h
+++ b/tools/server/server-models.h
@@ -14,17 +14,18 @@
 /**
  * state diagram:
  *
- * UNLOADED ──► LOADING ──► LOADED
- *  ▲            │            │
- *  └───failed───┘            │
- *  ▲                         │
+ * UNLOADED ──► LOADING ──► LOADED ◄──── SLEEPING
+ *  ▲            │            │               ▲
+ *  └───failed───┘            │               │
+ *  ▲                         └──sleeping─────┘
  *  └────────unloaded─────────┘
  */
 enum server_model_status {
     // TODO: also add downloading state when the logic is added
     SERVER_MODEL_STATUS_UNLOADED,
     SERVER_MODEL_STATUS_LOADING,
-    SERVER_MODEL_STATUS_LOADED
+    SERVER_MODEL_STATUS_LOADED,
+    SERVER_MODEL_STATUS_SLEEPING
 };
 
 static server_model_status server_model_status_from_string(const std::string & status_str) {
@@ -37,6 +38,9 @@ static server_model_status server_model_status_from_string(const std::string & s
     if (status_str == "loaded") {
         return SERVER_MODEL_STATUS_LOADED;
     }
+    if (status_str == "sleeping") {
+        return SERVER_MODEL_STATUS_SLEEPING;
+    }
     throw std::runtime_error("invalid server model status");
 }
 
@@ -45,6 +49,7 @@ static std::string server_model_status_to_string(server_model_status status) {
         case SERVER_MODEL_STATUS_UNLOADED: return "unloaded";
         case SERVER_MODEL_STATUS_LOADING:  return "loading";
         case SERVER_MODEL_STATUS_LOADED:   return "loaded";
+        case SERVER_MODEL_STATUS_SLEEPING: return "sleeping";
         default:                           return "unknown";
     }
 }
@@ -61,8 +66,12 @@ struct server_model_meta {
     int exit_code = 0; // exit code of the model instance process (only valid if status == FAILED)
     int stop_timeout = 0; // seconds to wait before force-killing the model instance during shutdown
 
-    bool is_active() const {
-        return status == SERVER_MODEL_STATUS_LOADED || status == SERVER_MODEL_STATUS_LOADING;
+    bool is_ready() const {
+        return status == SERVER_MODEL_STATUS_LOADED;
+    }
+
+    bool is_running() const {
+        return status == SERVER_MODEL_STATUS_LOADED || status == SERVER_MODEL_STATUS_LOADING || status == SERVER_MODEL_STATUS_SLEEPING;
     }
 
     bool is_failed() const {
@@ -130,19 +139,26 @@ public:
     void update_status(const std::string & name, server_model_status status, int exit_code);
 
     // wait until the model instance is fully loaded (thread-safe)
-    // return when the model is loaded or failed to load
-    void wait_until_loaded(const std::string & name);
+    // return when the model no longer in "loading" state
+    void wait_until_loading_finished(const std::string & name);
 
-    // load the model if not loaded, otherwise do nothing (thread-safe)
-    // return false if model is already loaded; return true otherwise (meta may need to be refreshed)
-    bool ensure_model_loaded(const std::string & name);
+    // ensure the model is in ready state (thread-safe)
+    // return false if model is ready
+    // otherwise, load the model and blocking wait until it's ready, then return true (meta may need to be refreshed)
+    bool ensure_model_ready(const std::string & name);
 
     // proxy an HTTP request to the model instance
     server_http_res_ptr proxy_request(const server_http_req & req, const std::string & method, const std::string & name, bool update_last_used);
 
+    // return true if the current process is a child server instance
+    static bool is_child_server();
+
     // notify the router server that a model instance is ready
     // return the monitoring thread (to be joined by the caller)
     static std::thread setup_child_server(const std::function<void(int)> & shutdown_handler);
+
+    // notify the router server that the sleeping state has changed
+    static void notify_router_sleeping_state(bool sleeping);
 };
 
 struct server_models_routes {
diff --git a/tools/server/server-queue.h b/tools/server/server-queue.h
index 164f09b195cf273a6ba89de77149eb44d4d591fa..35f010401fcbdfc820d99acd6924e6fde86020c9 100644
--- a/tools/server/server-queue.h
+++ b/tools/server/server-queue.h
@@ -95,11 +95,19 @@ public:
         callback_update_slots = std::move(callback);
     }
 
-    // Register callback for sleeping state change
+    // Register callback for sleeping state change; multiple callbacks are allowed
     // note: when entering sleeping state, the callback is called AFTER sleeping is set to true
     //       when leaving sleeping state, the callback is called BEFORE sleeping is set to false
     void on_sleeping_state(std::function<void(bool)> callback) {
-        callback_sleeping_state = std::move(callback);
+        if (callback_sleeping_state) {
+            auto prev_callback = std::move(callback_sleeping_state);
+            callback_sleeping_state = [prev_callback, callback](bool sleeping) {
+                prev_callback(sleeping);
+                callback(sleeping);
+            };
+        } else {
+            callback_sleeping_state = std::move(callback);
+        }
     }
 
 private:
diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp
index b3d510977b2b83d0076afbeeb21981be113dd3b9..2187b8d21b5e4582955dab3dd2c83afb1f1a1dd6 100644
--- a/tools/server/server-task.cpp
+++ b/tools/server/server-task.cpp
@@ -1,5 +1,6 @@
 #include "server-task.h"
 
+#include "build-info.h"
 #include "chat.h"
 #include "common.h"
 #include "json-schema-to-grammar.h"
@@ -72,7 +73,7 @@ json task_params::to_json(bool only_metrics) const {
             {"chat_format",               common_chat_format_name(chat_parser_params.format)},
             {"reasoning_format",          common_reasoning_format_name(chat_parser_params.reasoning_format)},
             {"reasoning_in_content",      chat_parser_params.reasoning_in_content},
-            {"thinking_forced_open",      chat_parser_params.thinking_forced_open},
+            {"generation_prompt",         chat_parser_params.generation_prompt},
             {"samplers",                  samplers},
             {"speculative.n_max",         speculative.n_max},
             {"speculative.n_min",         speculative.n_min},
@@ -128,14 +129,14 @@ json task_params::to_json(bool only_metrics) const {
         {"logit_bias",                format_logit_bias(sampling.logit_bias)},
         {"n_probs",                   sampling.n_probs},
         {"min_keep",                  sampling.min_keep},
-        {"grammar",                   sampling.grammar},
+        {"grammar",                   common_grammar_value(sampling.grammar)},
         {"grammar_lazy",              sampling.grammar_lazy},
         {"grammar_triggers",          grammar_triggers},
         {"preserved_tokens",          sampling.preserved_tokens},
         {"chat_format",               common_chat_format_name(chat_parser_params.format)},
         {"reasoning_format",          common_reasoning_format_name(chat_parser_params.reasoning_format)},
         {"reasoning_in_content",      chat_parser_params.reasoning_in_content},
-        {"thinking_forced_open",      chat_parser_params.thinking_forced_open},
+        {"generation_prompt",         chat_parser_params.generation_prompt},
         {"samplers",                  samplers},
         {"speculative.n_max",         speculative.n_max},
         {"speculative.n_min",         speculative.n_min},
@@ -161,7 +162,7 @@ common_chat_msg task_result_state::update_chat_msg(
         bool filter_tool_calls) {
     generated_text += text_added;
     auto msg_prv_copy = chat_msg;
-    SRV_DBG("Parsing chat message: %s\n", generated_text.c_str());
+    //SRV_DBG("Parsing chat message: %s\n", generated_text.c_str());
     auto new_msg = common_chat_parse(
         generated_text,
         is_partial,
@@ -239,6 +240,7 @@ task_params server_task::params_from_json_cmpl(
         const llama_vocab * vocab,
         const common_params & params_base,
         const int n_ctx_slot,
+        const std::vector<llama_logit_bias> & logit_bias_eog,
         const json & data) {
     task_params params;
 
@@ -302,6 +304,8 @@ task_params server_task::params_from_json_cmpl(
     params.sampling.backend_sampling   = json_value(data, "backend_sampling",    defaults.sampling.backend_sampling);
     params.post_sampling_probs         = json_value(data, "post_sampling_probs", defaults.post_sampling_probs);
 
+    params.speculative = defaults.speculative;
+
     params.speculative.n_min = json_value(data, "speculative.n_min", defaults.speculative.n_min);
     params.speculative.n_max = json_value(data, "speculative.n_max", defaults.speculative.n_max);
     params.speculative.p_min = json_value(data, "speculative.p_min", defaults.speculative.p_min);
@@ -376,14 +380,27 @@ task_params server_task::params_from_json_cmpl(
         try {
             auto schema                  = json_value(data, "json_schema", json::object());
             SRV_DBG("JSON schema: %s\n", schema.dump(2).c_str());
-            params.sampling.grammar      = json_schema_to_grammar(schema);
-            SRV_DBG("Converted grammar: %s\n", params.sampling.grammar.c_str());
+            std::string grammar_str      = json_schema_to_grammar(schema);
+            SRV_DBG("Converted grammar: %s\n", grammar_str.c_str());
+            params.sampling.grammar      = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, std::move(grammar_str)};
         } catch (const std::exception & e) {
             throw std::runtime_error(std::string("\"json_schema\": ") + e.what());
         }
     } else {
-        params.sampling.grammar      = json_value(data, "grammar", defaults.sampling.grammar);
-        SRV_DBG("Grammar: %s\n", params.sampling.grammar.c_str());
+        params.sampling.grammar = defaults.sampling.grammar;
+
+        std::string grammar_str = json_value(data, "grammar", std::string());
+        if (!grammar_str.empty()) {
+            // grammar_type key is set by the server when converting chat template grammars
+            std::string grammar_type = json_value(data, "grammar_type", std::string());
+            if (grammar_type == "tool_calls") {
+                params.sampling.grammar = {COMMON_GRAMMAR_TYPE_TOOL_CALLS, std::move(grammar_str)};
+            } else {
+                // explicit grammar from the user (API field "grammar")
+                params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, std::move(grammar_str)};
+            }
+            SRV_DBG("Grammar (%s): %s\n", grammar_type.c_str(), common_grammar_value(params.sampling.grammar).c_str());
+        }
         params.sampling.grammar_lazy = json_value(data, "grammar_lazy", defaults.sampling.grammar_lazy);
         SRV_DBG("Grammar lazy: %s\n", params.sampling.grammar_lazy ? "true" : "false");
     }
@@ -402,7 +419,9 @@ task_params server_task::params_from_json_cmpl(
         }
         params.chat_parser_params.reasoning_format = reasoning_format;
         params.chat_parser_params.reasoning_in_content = params.stream && (reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY);
-        params.chat_parser_params.thinking_forced_open = json_value(data, "thinking_forced_open", false);
+        params.chat_parser_params.generation_prompt = json_value(data, "generation_prompt", std::string());
+        params.sampling.generation_prompt = params.chat_parser_params.generation_prompt;
+        SRV_DBG("Generation prompt: '%s'\n", params.chat_parser_params.generation_prompt.c_str());
         params.chat_parser_params.parse_tool_calls = json_value(data, "parse_tool_calls", false);
         if (data.contains("chat_parser")) {
             params.chat_parser_params.parser.load(data.at("chat_parser").get<std::string>());
@@ -465,25 +484,20 @@ task_params server_task::params_from_json_cmpl(
     // Parse reasoning budget sampler parameters
     {
         const int32_t budget = json_value(data, "reasoning_budget_tokens", (int32_t) -1);
-        if (budget >= 0) {
-            const auto start_tag = json_value(data, "reasoning_budget_start_tag", std::string());
-            const auto end_tag   = json_value(data, "reasoning_budget_end_tag", std::string());
-            const auto message   = json_value(data, "reasoning_budget_message", std::string());
-            const bool activate_imm   = json_value(data, "reasoning_budget_activate_immediately", false);
-
-            params.sampling.reasoning_budget_tokens = budget;
-            params.sampling.reasoning_budget_activate_immediately = activate_imm;
+        const auto start_tag = json_value(data, "reasoning_budget_start_tag", std::string());
+        const auto end_tag   = json_value(data, "reasoning_budget_end_tag", std::string());
+        const auto message   = json_value(data, "reasoning_budget_message", std::string());
+        params.sampling.reasoning_budget_tokens = budget;
 
-            if (!start_tag.empty()) {
-                params.sampling.reasoning_budget_start = common_tokenize(vocab, start_tag, false, true);
-            }
-            if (!end_tag.empty()) {
-                params.sampling.reasoning_budget_end = common_tokenize(vocab, end_tag, false, true);
-                params.sampling.reasoning_budget_forced = common_tokenize(vocab, message + end_tag, false, true);
-            }
+        if (!start_tag.empty()) {
+            params.sampling.reasoning_budget_start = common_tokenize(vocab, start_tag, false, true);
+        }
+        if (!end_tag.empty()) {
+            params.sampling.reasoning_budget_end = common_tokenize(vocab, end_tag, false, true);
+            params.sampling.reasoning_budget_forced = common_tokenize(vocab, message + end_tag, false, true);
 
-            SRV_DBG("reasoning budget: tokens=%d, activate_immediately=%s, start=%zu toks, end=%zu toks, forced=%zu toks\n",
-                budget, activate_imm ? "true" : "false",
+            SRV_DBG("reasoning budget: tokens=%d, generation_prompt='%s', start=%zu toks, end=%zu toks, forced=%zu toks\n",
+                budget, params.sampling.generation_prompt.c_str(),
                 params.sampling.reasoning_budget_start.size(),
                 params.sampling.reasoning_budget_end.size(),
                 params.sampling.reasoning_budget_forced.size());
@@ -554,7 +568,7 @@ task_params server_task::params_from_json_cmpl(
         if (params.sampling.ignore_eos) {
             params.sampling.logit_bias.insert(
                     params.sampling.logit_bias.end(),
-                    defaults.sampling.logit_bias_eog.begin(), defaults.sampling.logit_bias_eog.end());
+                    logit_bias_eog.begin(), logit_bias_eog.end());
         }
     }
 
@@ -714,6 +728,8 @@ json server_task_result_cmpl_final::to_json() {
             return stream ? to_json_oaicompat_chat_stream() : to_json_oaicompat_chat();
         case TASK_RESPONSE_TYPE_OAI_RESP:
             return stream ? to_json_oaicompat_resp_stream() : to_json_oaicompat_resp();
+        case TASK_RESPONSE_TYPE_OAI_ASR:
+            return to_json_oaicompat_asr();
         case TASK_RESPONSE_TYPE_ANTHROPIC:
             return stream ? to_json_anthropic_stream() : to_json_anthropic();
         default:
@@ -746,6 +762,15 @@ json server_task_result_cmpl_final::to_json_non_oaicompat() {
     return response_fields.empty() ? res : json_get_nested_values(response_fields, res);
 }
 
+json server_task_result_cmpl_final::usage_json_oaicompat() {
+    return json {
+        {"completion_tokens", n_decoded},
+        {"prompt_tokens",     n_prompt_tokens},
+        {"total_tokens",      n_decoded + n_prompt_tokens},
+        {"prompt_tokens_details", json { {"cached_tokens", n_prompt_tokens_cache} }},
+    };
+}
+
 json server_task_result_cmpl_final::to_json_oaicompat() {
     std::time_t t = std::time(0);
     json logprobs = json(nullptr); // OAI default to null
@@ -769,13 +794,9 @@ json server_task_result_cmpl_final::to_json_oaicompat() {
         })},
         {"created",            t},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "text_completion"},
-        {"usage", json {
-            {"completion_tokens", n_decoded},
-            {"prompt_tokens",     n_prompt_tokens},
-            {"total_tokens",      n_decoded + n_prompt_tokens}
-        }},
+        {"usage",              usage_json_oaicompat()},
         {"id", oaicompat_cmpl_id}
     };
 
@@ -821,13 +842,9 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat() {
         {"choices",            json::array({choice})},
         {"created",            t},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "chat.completion"},
-        {"usage", json {
-            {"completion_tokens", n_decoded},
-            {"prompt_tokens",     n_prompt_tokens},
-            {"total_tokens",      n_decoded + n_prompt_tokens}
-        }},
+        {"usage",              usage_json_oaicompat()},
         {"id", oaicompat_cmpl_id}
     };
 
@@ -862,7 +879,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
             {"created", t},
             {"id", oaicompat_cmpl_id},
             {"model", oaicompat_model},
-            {"system_fingerprint", build_info},
+            {"system_fingerprint", std::string(llama_build_info())},
             {"object", "chat.completion.chunk"},
         });
     }
@@ -878,7 +895,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
         {"created",            t},
         {"id",                 oaicompat_cmpl_id},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "chat.completion.chunk"},
     });
 
@@ -890,13 +907,9 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
             {"created",            t},
             {"id",                 oaicompat_cmpl_id},
             {"model",              oaicompat_model},
-            {"system_fingerprint", build_info},
+            {"system_fingerprint", std::string(llama_build_info())},
             {"object",             "chat.completion.chunk"},
-            {"usage", json {
-                {"completion_tokens", n_decoded},
-                {"prompt_tokens",     n_prompt_tokens},
-                {"total_tokens",      n_decoded + n_prompt_tokens},
-            }},
+            {"usage",              usage_json_oaicompat()},
         });
     }
 
@@ -975,6 +988,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_resp() {
             {"input_tokens",  n_prompt_tokens},
             {"output_tokens", n_decoded},
             {"total_tokens",  n_decoded + n_prompt_tokens},
+            {"input_tokens_details", json { {"cached_tokens", n_prompt_tokens_cache} }},
         }},
     };
 
@@ -1083,7 +1097,8 @@ json server_task_result_cmpl_final::to_json_oaicompat_resp_stream() {
                 {"usage",      json {
                     {"input_tokens",  n_prompt_tokens},
                     {"output_tokens", n_decoded},
-                    {"total_tokens",  n_decoded + n_prompt_tokens}
+                    {"total_tokens",  n_decoded + n_prompt_tokens},
+                    {"input_tokens_details", json { {"cached_tokens", n_prompt_tokens_cache} }},
                 }}
             }},
         }}
@@ -1092,6 +1107,21 @@ json server_task_result_cmpl_final::to_json_oaicompat_resp_stream() {
     return server_sent_events;
 }
 
+json server_task_result_cmpl_final::to_json_oaicompat_asr() {
+    json event = json {
+        {"type",  "transcript.text.done"},
+        {"text",  content},
+        {"usage", json {
+            {"type",         "tokens"},
+            {"input_tokens",  n_prompt_tokens},
+            {"output_tokens", n_decoded},
+            {"total_tokens",  n_decoded + n_prompt_tokens},
+            {"input_tokens_details", json { {"cached_tokens", n_prompt_tokens_cache} }},
+        }},
+    };
+    return event;
+}
+
 json server_task_result_cmpl_final::to_json_anthropic() {
     std::string stop_reason = "max_tokens";
     if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
@@ -1149,7 +1179,8 @@ json server_task_result_cmpl_final::to_json_anthropic() {
         {"stop_reason", stop_reason},
         {"stop_sequence", stopping_word.empty() ? nullptr : json(stopping_word)},
         {"usage", {
-            {"input_tokens", n_prompt_tokens},
+            {"cache_read_input_tokens", n_prompt_tokens_cache},
+            {"input_tokens", n_prompt_tokens - n_prompt_tokens_cache},
             {"output_tokens", n_decoded}
         }}
     };
@@ -1389,6 +1420,8 @@ json server_task_result_cmpl_partial::to_json() {
             return to_json_oaicompat_chat();
         case TASK_RESPONSE_TYPE_OAI_RESP:
             return to_json_oaicompat_resp();
+        case TASK_RESPONSE_TYPE_OAI_ASR:
+            return to_json_oaicompat_asr();
         case TASK_RESPONSE_TYPE_ANTHROPIC:
             return to_json_anthropic();
         default:
@@ -1439,7 +1472,7 @@ json server_task_result_cmpl_partial::to_json_oaicompat() {
         })},
         {"created",            t},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "text_completion"},
         {"id",                 oaicompat_cmpl_id}
     };
@@ -1476,7 +1509,7 @@ json server_task_result_cmpl_partial::to_json_oaicompat_chat() {
             {"created", t},
             {"id", oaicompat_cmpl_id},
             {"model", oaicompat_model},
-            {"system_fingerprint", build_info},
+            {"system_fingerprint", std::string(llama_build_info())},
             {"object", "chat.completion.chunk"},
         });
     };
@@ -1639,6 +1672,14 @@ json server_task_result_cmpl_partial::to_json_oaicompat_resp() {
     return events;
 }
 
+json server_task_result_cmpl_partial::to_json_oaicompat_asr() {
+    json event = json {
+        {"type", "transcript.text.delta"},
+        {"delta", content},
+    };
+    return event;
+}
+
 json server_task_result_cmpl_partial::to_json_anthropic() {
     json events = json::array();
     bool first = (n_decoded == 1);
@@ -1659,7 +1700,8 @@ json server_task_result_cmpl_partial::to_json_anthropic() {
                     {"stop_reason", nullptr},
                     {"stop_sequence", nullptr},
                     {"usage", {
-                        {"input_tokens", n_prompt_tokens},
+                        {"cache_read_input_tokens", n_prompt_tokens_cache},
+                        {"input_tokens", n_prompt_tokens - n_prompt_tokens_cache},
                         {"output_tokens", 0}
                     }}
                 }}
@@ -1999,7 +2041,7 @@ server_prompt * server_prompt_cache::alloc(const server_prompt & prompt, size_t
 bool server_prompt_cache::load(server_prompt & prompt, const server_tokens & tokens_new, llama_context * ctx, int32_t id_slot) {
     const int lcp_best = prompt.tokens.get_common_prefix(tokens_new);
 
-    float f_keep_best = float(lcp_best) / prompt.tokens.size();
+    float f_keep_best = prompt.tokens.size() > 0 ? float(lcp_best) / prompt.tokens.size() : -1.0f; // empty slot: any cache entry wins
     float sim_best    = float(lcp_best) / tokens_new.size();
 
     SRV_WRN(" - looking for better prompt, base f_keep = %.3f, sim = %.3f\n", f_keep_best, sim_best);
diff --git a/tools/server/server-task.h b/tools/server/server-task.h
index 1e342531d8efc81694c690e96170bf2a057e4efb..289e1fb8d24f51d9d797f77bac0d61128dbb2255 100644
--- a/tools/server/server-task.h
+++ b/tools/server/server-task.h
@@ -34,6 +34,7 @@ enum task_response_type {
     TASK_RESPONSE_TYPE_OAI_CHAT,
     TASK_RESPONSE_TYPE_OAI_CMPL,
     TASK_RESPONSE_TYPE_OAI_RESP,
+    TASK_RESPONSE_TYPE_OAI_ASR, // transcriptions API
     TASK_RESPONSE_TYPE_OAI_EMBD,
     TASK_RESPONSE_TYPE_ANTHROPIC,
 };
@@ -209,6 +210,7 @@ struct server_task {
         const llama_vocab * vocab,
         const common_params & params_base,
         const int n_ctx_slot,
+        const std::vector<llama_logit_bias> & logit_bias_eog,
         const json & data);
 
     // utility function
@@ -261,14 +263,14 @@ struct result_timings {
     int32_t cache_n = -1;
 
     int32_t prompt_n = -1;
-    double prompt_ms;
-    double prompt_per_token_ms;
-    double prompt_per_second;
+    double prompt_ms = 0.0;
+    double prompt_per_token_ms = 0.0;
+    double prompt_per_second = 0.0;
 
     int32_t predicted_n = -1;
-    double predicted_ms;
-    double predicted_per_token_ms;
-    double predicted_per_second;
+    double predicted_ms = 0.0;
+    double predicted_per_token_ms = 0.0;
+    double predicted_per_second = 0.0;
 
     // Optional speculative metrics - only included when > 0
     int32_t draft_n = 0;
@@ -344,6 +346,7 @@ struct server_task_result_cmpl_final : server_task_result {
     bool truncated;
     int32_t n_decoded;
     int32_t n_prompt_tokens;
+    int32_t n_prompt_tokens_cache;
     int32_t n_tokens_cached;
     bool has_new_line;
     std::string stopping_word;
@@ -387,6 +390,8 @@ struct server_task_result_cmpl_final : server_task_result {
 
     json to_json_non_oaicompat();
 
+    json usage_json_oaicompat();
+
     json to_json_oaicompat();
 
     json to_json_oaicompat_chat();
@@ -397,6 +402,8 @@ struct server_task_result_cmpl_final : server_task_result {
 
     json to_json_oaicompat_resp_stream();
 
+    json to_json_oaicompat_asr();
+
     json to_json_anthropic();
 
     json to_json_anthropic_stream();
@@ -408,6 +415,7 @@ struct server_task_result_cmpl_partial : server_task_result {
 
     int32_t n_decoded;
     int32_t n_prompt_tokens;
+    int32_t n_prompt_tokens_cache;
 
     bool post_sampling_probs;
     bool is_progress = false;
@@ -452,6 +460,8 @@ struct server_task_result_cmpl_partial : server_task_result {
 
     json to_json_oaicompat_resp();
 
+    json to_json_oaicompat_asr();
+
     json to_json_anthropic();
 };
 
@@ -566,6 +576,17 @@ struct server_prompt_checkpoint {
     size_t size() const {
         return data.size();
     }
+
+    bool empty() const {
+        return data.empty();
+    }
+
+    void clear() {
+        pos_min = 0;
+        pos_max = 0;
+        n_tokens = 0;
+        data.clear();
+    }
 };
 
 struct server_prompt {
diff --git a/tools/server/server-tools.cpp b/tools/server/server-tools.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..81e360de4639cc0893219787b5bca5f18c314e9a
--- /dev/null
+++ b/tools/server/server-tools.cpp
@@ -0,0 +1,768 @@
+#include "server-tools.h"
+
+#include <sheredom/subprocess.h>
+
+#include <filesystem>
+#include <fstream>
+#include <regex>
+#include <thread>
+#include <chrono>
+#include <atomic>
+#include <cstring>
+#include <climits>
+
+namespace fs = std::filesystem;
+
+//
+// internal helpers
+//
+
+static std::vector<char *> to_cstr_vec(const std::vector<std::string> & v) {
+    std::vector<char *> r;
+    r.reserve(v.size() + 1);
+    for (const auto & s : v) {
+        r.push_back(const_cast<char *>(s.c_str()));
+    }
+    r.push_back(nullptr);
+    return r;
+}
+
+struct run_proc_result {
+    std::string output;
+    int  exit_code = -1;
+    bool timed_out = false;
+};
+
+static run_proc_result run_process(
+        const std::vector<std::string> & args,
+        size_t max_output,
+        int timeout_secs) {
+    run_proc_result res;
+
+    subprocess_s proc;
+    auto argv = to_cstr_vec(args);
+
+    int options = subprocess_option_no_window
+                | subprocess_option_combined_stdout_stderr
+                | subprocess_option_inherit_environment
+                | subprocess_option_search_user_path;
+
+    if (subprocess_create(argv.data(), options, &proc) != 0) {
+        res.output = "failed to spawn process";
+        return res;
+    }
+
+    std::atomic<bool> done{false};
+    std::atomic<bool> timed_out{false};
+
+    std::thread timeout_thread([&]() {
+        auto deadline = std::chrono::steady_clock::now() + std::chrono::seconds(timeout_secs);
+        while (!done.load()) {
+            if (std::chrono::steady_clock::now() >= deadline) {
+                timed_out.store(true);
+                subprocess_terminate(&proc);
+                return;
+            }
+            std::this_thread::sleep_for(std::chrono::milliseconds(100));
+        }
+    });
+
+    FILE * f = subprocess_stdout(&proc);
+    std::string output;
+    bool truncated = false;
+    if (f) {
+        char buf[4096];
+        while (fgets(buf, sizeof(buf), f) != nullptr) {
+            if (!truncated) {
+                size_t len = strlen(buf);
+                if (output.size() + len <= max_output) {
+                    output.append(buf, len);
+                } else {
+                    output.append(buf, max_output - output.size());
+                    truncated = true;
+                }
+            }
+        }
+    }
+
+    done.store(true);
+    if (timeout_thread.joinable()) {
+        timeout_thread.join();
+    }
+
+    subprocess_join(&proc, &res.exit_code);
+    subprocess_destroy(&proc);
+
+    res.output    = output;
+    res.timed_out = timed_out.load();
+    if (truncated) {
+        res.output += "\n[output truncated]";
+    }
+    return res;
+}
+
+json server_tool::to_json() {
+    return {
+        {"display_name", display_name},
+        {"tool", name},
+        {"type", "builtin"},
+        {"permissions", json{
+            {"write", permission_write}
+        }},
+        {"definition", get_definition()},
+    };
+}
+
+//
+// read_file: read a file with optional line range and line-number prefix
+//
+
+static constexpr size_t SERVER_TOOL_READ_FILE_MAX_SIZE = 16 * 1024; // 16 KB
+
+struct server_tool_read_file : server_tool {
+    server_tool_read_file() {
+        name = "read_file";
+        display_name = "Read file";
+        permission_write = false;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Read the contents of a file. Optionally specify a 1-based line range. "
+                                "If append_loc is true, each line is prefixed with its line number (e.g. \"1\u2192 ...\")."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"path",       {{"type", "string"},  {"description", "Path to the file"}}},
+                        {"start_line", {{"type", "integer"}, {"description", "First line to read, 1-based (default: 1)"}}},
+                        {"end_line",   {{"type", "integer"}, {"description", "Last line to read, 1-based inclusive (default: end of file)"}}},
+                        {"append_loc", {{"type", "boolean"}, {"description", "Prefix each line with its line number"}}},
+                    }},
+                    {"required", json::array({"path"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string path  = params.at("path").get<std::string>();
+        int  start_line   = json_value(params, "start_line", 1);
+        int  end_line     = json_value(params, "end_line",  -1); // -1 = no limit
+        bool append_loc   = json_value(params, "append_loc", false);
+
+        std::error_code ec;
+        uintmax_t file_size = fs::file_size(path, ec);
+        if (ec) {
+            return {{"error", "cannot stat file: " + ec.message()}};
+        }
+        if (file_size > SERVER_TOOL_READ_FILE_MAX_SIZE && end_line == -1) {
+            return {{"error", string_format(
+                "file too large (%zu bytes, max %zu). Use start_line/end_line to read a portion.",
+                (size_t)file_size, SERVER_TOOL_READ_FILE_MAX_SIZE)}};
+        }
+
+        std::ifstream f(path);
+        if (!f) {
+            return {{"error", "failed to open file: " + path}};
+        }
+
+        std::string result;
+        std::string line;
+        int lineno = 0;
+
+        while (std::getline(f, line)) {
+            lineno++;
+            if (lineno < start_line) continue;
+            if (end_line != -1 && lineno > end_line) break;
+
+            std::string out_line;
+            if (append_loc) {
+                out_line = std::to_string(lineno) + "\u2192 " + line + "\n";
+            } else {
+                out_line = line + "\n";
+            }
+
+            if (result.size() + out_line.size() > SERVER_TOOL_READ_FILE_MAX_SIZE) {
+                result += "[output truncated]";
+                break;
+            }
+            result += out_line;
+        }
+
+        return {{"plain_text_response", result}};
+    }
+};
+
+//
+// file_glob_search: find files matching a glob pattern under a base directory
+//
+
+static constexpr size_t SERVER_TOOL_FILE_SEARCH_MAX_RESULTS = 100;
+
+struct server_tool_file_glob_search : server_tool {
+    server_tool_file_glob_search() {
+        name = "file_glob_search";
+        display_name = "File search";
+        permission_write = false;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Recursively search for files matching a glob pattern under a directory."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"path",    {{"type", "string"}, {"description", "Base directory to search in"}}},
+                        {"include", {{"type", "string"}, {"description", "Glob pattern for files to include (e.g. \"**/*.cpp\"). Default: **"}}},
+                        {"exclude", {{"type", "string"}, {"description", "Glob pattern for files to exclude"}}},
+                    }},
+                    {"required", json::array({"path"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string base    = params.at("path").get<std::string>();
+        std::string include = json_value(params, "include", std::string("**"));
+        std::string exclude = json_value(params, "exclude", std::string(""));
+
+        std::ostringstream output_text;
+        size_t count = 0;
+
+        std::error_code ec;
+        for (const auto & entry : fs::recursive_directory_iterator(base,
+                fs::directory_options::skip_permission_denied, ec)) {
+            if (!entry.is_regular_file()) continue;
+
+            std::string rel = fs::relative(entry.path(), base, ec).string();
+            if (ec) continue;
+            std::replace(rel.begin(), rel.end(), '\\', '/');
+
+            if (!glob_match(include, rel)) continue;
+            if (!exclude.empty() && glob_match(exclude, rel)) continue;
+
+            output_text << entry.path().string() << "\n";
+            if (++count >= SERVER_TOOL_FILE_SEARCH_MAX_RESULTS) {
+                break;
+            }
+        }
+
+        output_text << "\n---\nTotal matches: " << count << "\n";
+
+        return {{"plain_text_response", output_text.str()}};
+    }
+};
+
+//
+// grep_search: search for a regex pattern in files
+//
+
+static constexpr size_t SERVER_TOOL_GREP_SEARCH_MAX_RESULTS = 100;
+
+struct server_tool_grep_search : server_tool {
+    server_tool_grep_search() {
+        name = "grep_search";
+        display_name = "Grep search";
+        permission_write = false;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Search for a regex pattern in files under a path. Returns matching lines."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"path",                {{"type", "string"},  {"description", "File or directory to search in"}}},
+                        {"pattern",             {{"type", "string"},  {"description", "Regular expression pattern to search for"}}},
+                        {"include",             {{"type", "string"},  {"description", "Glob pattern to filter files (default: **)"}}},
+                        {"exclude",             {{"type", "string"},  {"description", "Glob pattern to exclude files"}}},
+                        {"return_line_numbers", {{"type", "boolean"}, {"description", "If true, include line numbers in results"}}},
+                    }},
+                    {"required", json::array({"path", "pattern"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string path    = params.at("path").get<std::string>();
+        std::string pat_str = params.at("pattern").get<std::string>();
+        std::string include = json_value(params, "include", std::string("**"));
+        std::string exclude = json_value(params, "exclude", std::string(""));
+        bool show_lineno    = json_value(params, "return_line_numbers", false);
+
+        std::regex pattern;
+        try {
+            pattern = std::regex(pat_str);
+        } catch (const std::regex_error & e) {
+            return {{"error", std::string("invalid regex: ") + e.what()}};
+        }
+
+        std::ostringstream output_text;
+        size_t total = 0;
+
+        auto search_file = [&](const fs::path & fpath) {
+            std::ifstream f(fpath);
+            if (!f) return;
+            std::string line;
+            int lineno = 0;
+            while (std::getline(f, line) && total < SERVER_TOOL_GREP_SEARCH_MAX_RESULTS) {
+                lineno++;
+                if (std::regex_search(line, pattern)) {
+                    output_text << fpath.string() << ":";
+                    if (show_lineno) {
+                        output_text << lineno << ":";
+                    }
+                    output_text << line << "\n";
+                    total++;
+                }
+            }
+        };
+
+        std::error_code ec;
+        if (fs::is_regular_file(path, ec)) {
+            search_file(path);
+        } else if (fs::is_directory(path, ec)) {
+            for (const auto & entry : fs::recursive_directory_iterator(path,
+                    fs::directory_options::skip_permission_denied, ec)) {
+                if (!entry.is_regular_file()) continue;
+                if (total >= SERVER_TOOL_GREP_SEARCH_MAX_RESULTS) break;
+
+                std::string rel = fs::relative(entry.path(), path, ec).string();
+                if (ec) continue;
+                std::replace(rel.begin(), rel.end(), '\\', '/');
+
+                if (!glob_match(include, rel)) continue;
+                if (!exclude.empty() && glob_match(exclude, rel)) continue;
+
+                search_file(entry.path());
+            }
+        } else {
+            return {{"error", "path does not exist: " + path}};
+        }
+
+        output_text << "\n\n---\nTotal matches: " << total << "\n";
+
+        return {{"plain_text_response", output_text.str()}};
+    }
+};
+
+//
+// exec_shell_command: run an arbitrary shell command
+//
+
+static constexpr size_t SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_OUTPUT_SIZE = 16 * 1024; // 16 KB
+static constexpr int    SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_TIMEOUT     = 60;        // seconds
+
+struct server_tool_exec_shell_command : server_tool {
+    server_tool_exec_shell_command() {
+        name = "exec_shell_command";
+        display_name = "Execute shell command";
+        permission_write = true;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Execute a shell command and return its output (stdout and stderr combined)."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"command",         {{"type", "string"},  {"description", "Shell command to execute"}}},
+                        {"timeout",         {{"type", "integer"}, {"description", string_format("Timeout in seconds (default 10, max %d)", SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_TIMEOUT)}}},
+                        {"max_output_size", {{"type", "integer"}, {"description", string_format("Maximum output size in bytes (default %zu)", SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_OUTPUT_SIZE)}}},
+                    }},
+                    {"required", json::array({"command"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string command   = params.at("command").get<std::string>();
+        int    timeout        = json_value(params, "timeout",         10);
+        size_t max_output     = (size_t) json_value(params, "max_output_size", (int) SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_OUTPUT_SIZE);
+
+        timeout    = std::min(timeout,    SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_TIMEOUT);
+        max_output = std::min(max_output, SERVER_TOOL_EXEC_SHELL_COMMAND_MAX_OUTPUT_SIZE);
+
+#ifdef _WIN32
+        std::vector<std::string> args = {"cmd", "/c", command};
+#else
+        std::vector<std::string> args = {"sh", "-c", command};
+#endif
+
+        auto res = run_process(args, max_output, timeout);
+
+        std::string text_output = res.output;
+        text_output += string_format("\n[exit code: %d]", res.exit_code);
+        if (res.timed_out) {
+            text_output += " [exit due to timed out]";
+        }
+
+        return {{"plain_text_response", text_output}};
+    }
+};
+
+//
+// write_file: create or overwrite a file
+//
+
+struct server_tool_write_file : server_tool {
+    server_tool_write_file() {
+        name = "write_file";
+        display_name = "Write file";
+        permission_write = true;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Write content to a file, creating it (including parent directories) if it does not exist. May use with edit_file for more complex edits."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"path",    {{"type", "string"}, {"description", "Path of the file to write"}}},
+                        {"content", {{"type", "string"}, {"description", "Content to write"}}},
+                    }},
+                    {"required", json::array({"path", "content"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string path    = params.at("path").get<std::string>();
+        std::string content = params.at("content").get<std::string>();
+
+        std::error_code ec;
+        fs::path fpath(path);
+        if (fpath.has_parent_path()) {
+            fs::create_directories(fpath.parent_path(), ec);
+            if (ec) {
+                return {{"error", "failed to create directories: " + ec.message()}};
+            }
+        }
+
+        std::ofstream f(path, std::ios::binary);
+        if (!f) {
+            return {{"error", "failed to open file for writing: " + path}};
+        }
+        f << content;
+        if (!f) {
+            return {{"error", "failed to write file: " + path}};
+        }
+
+        return {{"result", "file written successfully"}, {"path", path}, {"bytes", content.size()}};
+    }
+};
+
+//
+// edit_file: edit file content via line-based changes
+//
+
+struct server_tool_edit_file : server_tool {
+    server_tool_edit_file() {
+        name = "edit_file";
+        display_name = "Edit file";
+        permission_write = true;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description",
+                    "Edit a file by applying a list of line-based changes. "
+                    "Each change targets a 1-based inclusive line range and has a mode: "
+                    "\"replace\" (replace lines with content), "
+                    "\"delete\" (remove lines, content must be empty string), "
+                    "\"append\" (insert content after line_end). "
+                    "Set line_start to -1 to target the end of file (line_end is ignored in that case). "
+                    "Changes must not overlap. They are applied in reverse line order automatically."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"path",    {{"type", "string"}, {"description", "Path to the file to edit"}}},
+                        {"changes", {
+                            {"type", "array"},
+                            {"description", "List of changes to apply"},
+                            {"items", {
+                                {"type", "object"},
+                                {"properties", {
+                                    {"mode",       {{"type", "string"},  {"description", "\"replace\", \"delete\", or \"append\""}}},
+                                    {"line_start", {{"type", "integer"}, {"description", "First line of the range (1-based); use -1 for end of file"}}},
+                                    {"line_end",   {{"type", "integer"}, {"description", "Last line of the range (1-based, inclusive); ignored when line_start is -1"}}},
+                                    {"content",    {{"type", "string"},  {"description", "Content to insert; must be empty string for delete mode"}}},
+                                }},
+                                {"required", json::array({"mode", "line_start", "line_end", "content"})},
+                            }},
+                        }},
+                    }},
+                    {"required", json::array({"path", "changes"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string path = params.at("path").get<std::string>();
+        const json & changes = params.at("changes");
+
+        if (!changes.is_array()) {
+            return {{"error", "\"changes\" must be an array"}};
+        }
+
+        // read file into lines
+        std::ifstream fin(path);
+        if (!fin) {
+            return {{"error", "failed to open file: " + path}};
+        }
+        std::vector<std::string> lines;
+        {
+            std::string line;
+            while (std::getline(fin, line)) {
+                lines.push_back(line);
+            }
+        }
+        fin.close();
+
+        // validate and collect changes, then sort descending by line_start
+        struct change_entry {
+            std::string mode;
+            int line_start; // 1-based
+            int line_end;   // 1-based inclusive
+            std::string content;
+        };
+        std::vector<change_entry> entries;
+        entries.reserve(changes.size());
+
+        for (const auto & ch : changes) {
+            change_entry e;
+            e.mode       = ch.at("mode").get<std::string>();
+            e.line_start = ch.at("line_start").get<int>();
+            e.line_end   = ch.at("line_end").get<int>();
+            e.content    = ch.at("content").get<std::string>();
+
+            if (e.mode != "replace" && e.mode != "delete" && e.mode != "append") {
+                return {{"error", "invalid mode \"" + e.mode + "\"; must be replace, delete, or append"}};
+            }
+            if (e.mode == "delete" && !e.content.empty()) {
+                return {{"error", "content must be empty string for delete mode"}};
+            }
+            int n = (int) lines.size();
+            if (e.line_start == -1) {
+                // -1 means end of file; line_end is ignored — normalize to point past last line
+                e.line_start = n + 1;
+                e.line_end   = n + 1;
+            } else {
+                if (e.line_start < 1 || e.line_end < e.line_start) {
+                    return {{"error", string_format("invalid line range [%d, %d]", e.line_start, e.line_end)}};
+                }
+                if (e.line_end > n) {
+                    return {{"error", string_format("line_end %d exceeds file length %d", e.line_end, n)}};
+                }
+            }
+            entries.push_back(std::move(e));
+        }
+
+        // sort descending so earlier-indexed changes don't shift later ones
+        std::sort(entries.begin(), entries.end(), [](const change_entry & a, const change_entry & b) {
+            return a.line_start > b.line_start;
+        });
+
+        // apply changes (0-based indices internally)
+        for (const auto & e : entries) {
+            int idx_start = e.line_start - 1; // 0-based
+            int idx_end   = e.line_end   - 1; // 0-based inclusive
+
+            // split content into lines (preserve trailing newline awareness)
+            std::vector<std::string> new_lines;
+            if (!e.content.empty()) {
+                std::istringstream ss(e.content);
+                std::string ln;
+                while (std::getline(ss, ln)) {
+                    new_lines.push_back(ln);
+                }
+                // if content ends with \n, getline consumed it — no extra empty line needed
+                // if content does NOT end with \n, last line is still captured correctly
+            }
+
+            if (e.mode == "replace") {
+                // erase [idx_start, idx_end] and insert new_lines
+                lines.erase(lines.begin() + idx_start, lines.begin() + idx_end + 1);
+                lines.insert(lines.begin() + idx_start, new_lines.begin(), new_lines.end());
+            } else if (e.mode == "delete") {
+                lines.erase(lines.begin() + idx_start, lines.begin() + idx_end + 1);
+            } else { // append
+                // idx_end + 1 may equal lines.size() when line_start == -1 (end of file)
+                lines.insert(lines.begin() + idx_end + 1, new_lines.begin(), new_lines.end());
+            }
+        }
+
+        // write file back
+        std::ofstream fout(path, std::ios::binary);
+        if (!fout) {
+            return {{"error", "failed to open file for writing: " + path}};
+        }
+        for (size_t i = 0; i < lines.size(); i++) {
+            fout << lines[i];
+            if (i + 1 < lines.size()) {
+                fout << "\n";
+            }
+        }
+        if (!lines.empty()) {
+            fout << "\n";
+        }
+        if (!fout) {
+            return {{"error", "failed to write file: " + path}};
+        }
+
+        return {{"result", "file edited successfully"}, {"path", path}, {"lines", (int) lines.size()}};
+    }
+};
+
+//
+// apply_diff: apply a unified diff via git apply
+//
+
+struct server_tool_apply_diff : server_tool {
+    server_tool_apply_diff() {
+        name = "apply_diff";
+        display_name = "Apply diff";
+        permission_write = true;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Apply a unified diff to edit one or more files using git apply. Use this instead of edit_file when the changes are complex."},
+                {"parameters", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"diff", {{"type", "string"}, {"description", "Unified diff content in git diff format"}}},
+                    }},
+                    {"required", json::array({"diff"})},
+                }},
+            }},
+        };
+    }
+
+    json invoke(json params) override {
+        std::string diff = params.at("diff").get<std::string>();
+
+        // write diff to a temporary file
+        static std::atomic<int> counter{0};
+        std::string tmp_path = (fs::temp_directory_path() /
+            ("llama_patch_" + std::to_string(++counter) + ".patch")).string();
+
+        {
+            std::ofstream f(tmp_path, std::ios::binary);
+            if (!f) {
+                return {{"error", "failed to create temp patch file"}};
+            }
+            f << diff;
+        }
+
+        auto res = run_process({"git", "apply", tmp_path}, 4096, 10);
+
+        std::error_code ec;
+        fs::remove(tmp_path, ec);
+
+        if (res.exit_code != 0) {
+            return {{"error", "git apply failed (exit " + std::to_string(res.exit_code) + "): " + res.output}};
+        }
+        return {{"result", "patch applied successfully"}};
+    }
+};
+
+//
+// public API
+//
+
+static std::vector<std::unique_ptr<server_tool>> build_tools() {
+    std::vector<std::unique_ptr<server_tool>> tools;
+    tools.push_back(std::make_unique<server_tool_read_file>());
+    tools.push_back(std::make_unique<server_tool_file_glob_search>());
+    tools.push_back(std::make_unique<server_tool_grep_search>());
+    tools.push_back(std::make_unique<server_tool_exec_shell_command>());
+    tools.push_back(std::make_unique<server_tool_write_file>());
+    tools.push_back(std::make_unique<server_tool_edit_file>());
+    tools.push_back(std::make_unique<server_tool_apply_diff>());
+    return tools;
+}
+
+void server_tools::setup(const std::vector<std::string> & enabled_tools) {
+    if (!enabled_tools.empty()) {
+        std::unordered_set<std::string> enabled_set(enabled_tools.begin(), enabled_tools.end());
+        auto all_tools = build_tools();
+
+        tools.clear();
+        for (auto & t : all_tools) {
+            if (enabled_set.count(t->name) > 0 || enabled_set.count("all") > 0) {
+                tools.push_back(std::move(t));
+            }
+        }
+    }
+
+    handle_get = [this](const server_http_req &) -> server_http_res_ptr {
+        auto res = std::make_unique<server_http_res>();
+        try {
+            json result = json::array();
+            for (const auto & t : tools) {
+                result.push_back(t->to_json());
+            }
+            res->data = safe_json_to_str(result);
+        } catch (const std::exception & e) {
+            SRV_ERR("got exception: %s\n", e.what());
+            res->status = 500;
+            res->data   = safe_json_to_str(format_error_response(e.what(), ERROR_TYPE_SERVER));
+        }
+        return res;
+    };
+
+    handle_post = [this](const server_http_req & req) -> server_http_res_ptr {
+        auto res = std::make_unique<server_http_res>();
+        try {
+            json body = json::parse(req.body);
+            std::string tool_name = body.at("tool").get<std::string>();
+            json params = body.value("params", json::object());
+            json result = invoke(tool_name, params);
+            res->data   = safe_json_to_str(result);
+        } catch (const json::exception & e) {
+            res->status = 400;
+            res->data   = safe_json_to_str(format_error_response(e.what(), ERROR_TYPE_INVALID_REQUEST));
+        } catch (const std::exception & e) {
+            SRV_ERR("got exception: %s\n", e.what());
+            res->status = 500;
+            res->data   = safe_json_to_str(format_error_response(e.what(), ERROR_TYPE_SERVER));
+        }
+        return res;
+    };
+}
+
+json server_tools::invoke(const std::string & name, const json & params) {
+    for (auto & t : tools) {
+        if (t->name == name) {
+            return t->invoke(params);
+        }
+    }
+    return {{"error", "unknown tool: " + name}};
+}
diff --git a/tools/server/server-tools.h b/tools/server/server-tools.h
new file mode 100644
index 0000000000000000000000000000000000000000..444ef5f8098a7eed7c88e48b433b47887f3f8920
--- /dev/null
+++ b/tools/server/server-tools.h
@@ -0,0 +1,26 @@
+#pragma once
+
+#include "server-common.h"
+#include "server-http.h"
+
+struct server_tool {
+    std::string name;
+    std::string display_name;
+    bool permission_write = false;
+
+    virtual ~server_tool() = default;
+    virtual json get_definition() = 0;
+    virtual json invoke(json params) = 0;
+
+    json to_json();
+};
+
+struct server_tools {
+    std::vector<std::unique_ptr<server_tool>> tools;
+
+    void setup(const std::vector<std::string> & enabled_tools);
+    json invoke(const std::string & name, const json & params);
+
+    server_http_context::handler_t handle_get;
+    server_http_context::handler_t handle_post;
+};
diff --git a/tools/server/server.cpp b/tools/server/server.cpp
index 0bd6fda17d2258519215d781f9fcded6e3a6039a..6566949edf12229c30924db1b9cfcab57fd9fa08 100644
--- a/tools/server/server.cpp
+++ b/tools/server/server.cpp
@@ -2,9 +2,12 @@
 #include "server-http.h"
 #include "server-models.h"
 #include "server-cors-proxy.h"
+#include "server-tools.h"
 
 #include "arg.h"
+#include "build-info.h"
 #include "common.h"
+#include "fit.h"
 #include "llama.h"
 #include "log.h"
 
@@ -74,6 +77,8 @@ int main(int argc, char ** argv) {
     // own arguments required by this example
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SERVER)) {
         return 1;
     }
@@ -99,18 +104,14 @@ int main(int argc, char ** argv) {
         params.model_alias.insert(params.model.name);
     }
 
-    common_init();
-
     // struct that contains llama context and inference
     server_context ctx_server;
 
     llama_backend_init();
     llama_numa_init(params.numa);
 
-    LOG_INF("system info: n_threads = %d, n_threads_batch = %d, total_threads = %d\n", params.cpuparams.n_threads, params.cpuparams_batch.n_threads, std::thread::hardware_concurrency());
-    LOG_INF("\n");
+    LOG_INF("build_info: %s\n", llama_build_info());
     LOG_INF("%s\n", common_params_get_system_info(params).c_str());
-    LOG_INF("\n");
 
     server_http_context ctx_http;
     if (!ctx_http.init(params)) {
@@ -124,6 +125,7 @@ int main(int argc, char ** argv) {
 
     // register API routes
     server_routes routes(params, ctx_server);
+    server_tools tools;
 
     bool is_router_server = params.model.path.empty();
     std::optional<server_models_routes> models_routes{};
@@ -140,11 +142,11 @@ int main(int argc, char ** argv) {
         // note: routes.get_health stays the same
         routes.get_metrics                 = models_routes->proxy_get;
         routes.post_props                  = models_routes->proxy_post;
-        routes.get_api_show                = models_routes->proxy_get;
         routes.post_completions            = models_routes->proxy_post;
         routes.post_completions_oai        = models_routes->proxy_post;
         routes.post_chat_completions       = models_routes->proxy_post;
         routes.post_responses_oai          = models_routes->proxy_post;
+        routes.post_transcriptions_oai     = models_routes->proxy_post;
         routes.post_anthropic_messages     = models_routes->proxy_post;
         routes.post_anthropic_count_tokens = models_routes->proxy_post;
         routes.post_infill                 = models_routes->proxy_post;
@@ -160,48 +162,48 @@ int main(int argc, char ** argv) {
         routes.post_slots                  = models_routes->proxy_post;
 
         // custom routes for router
-        routes.get_props  = models_routes->get_router_props;
-        routes.get_models = models_routes->get_router_models;
-        ctx_http.post("/models/load",   ex_wrapper(models_routes->post_router_models_load));
-        ctx_http.post("/models/unload", ex_wrapper(models_routes->post_router_models_unload));
+        routes.get_props                   = models_routes->get_router_props;
+        routes.get_models                  = models_routes->get_router_models;
+
+        ctx_http.post("/models/load",          ex_wrapper(models_routes->post_router_models_load));
+        ctx_http.post("/models/unload",        ex_wrapper(models_routes->post_router_models_unload));
     }
 
-    ctx_http.get ("/health",              ex_wrapper(routes.get_health)); // public endpoint (no API key check)
-    ctx_http.get ("/v1/health",           ex_wrapper(routes.get_health)); // public endpoint (no API key check)
-    ctx_http.get ("/metrics",             ex_wrapper(routes.get_metrics));
-    ctx_http.get ("/props",               ex_wrapper(routes.get_props));
-    ctx_http.post("/props",               ex_wrapper(routes.post_props));
-    ctx_http.post("/api/show",            ex_wrapper(routes.get_api_show));
-    ctx_http.get ("/models",              ex_wrapper(routes.get_models)); // public endpoint (no API key check)
-    ctx_http.get ("/v1/models",           ex_wrapper(routes.get_models)); // public endpoint (no API key check)
-    ctx_http.get ("/api/tags",            ex_wrapper(routes.get_models)); // ollama specific endpoint. public endpoint (no API key check)
-    ctx_http.post("/completion",          ex_wrapper(routes.post_completions)); // legacy
-    ctx_http.post("/completions",         ex_wrapper(routes.post_completions));
-    ctx_http.post("/v1/completions",      ex_wrapper(routes.post_completions_oai));
-    ctx_http.post("/chat/completions",    ex_wrapper(routes.post_chat_completions));
-    ctx_http.post("/v1/chat/completions", ex_wrapper(routes.post_chat_completions));
-    ctx_http.post("/api/chat",            ex_wrapper(routes.post_chat_completions)); // ollama specific endpoint
-    ctx_http.post("/v1/responses",        ex_wrapper(routes.post_responses_oai));
-    ctx_http.post("/responses",           ex_wrapper(routes.post_responses_oai));
-    ctx_http.post("/v1/messages",         ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API
+    ctx_http.get ("/health",                   ex_wrapper(routes.get_health)); // public endpoint (no API key check)
+    ctx_http.get ("/v1/health",                ex_wrapper(routes.get_health)); // public endpoint (no API key check)
+    ctx_http.get ("/metrics",                  ex_wrapper(routes.get_metrics));
+    ctx_http.get ("/props",                    ex_wrapper(routes.get_props));
+    ctx_http.post("/props",                    ex_wrapper(routes.post_props));
+    ctx_http.get ("/models",                   ex_wrapper(routes.get_models)); // public endpoint (no API key check)
+    ctx_http.get ("/v1/models",                ex_wrapper(routes.get_models)); // public endpoint (no API key check)
+    ctx_http.post("/completion",               ex_wrapper(routes.post_completions)); // legacy
+    ctx_http.post("/completions",              ex_wrapper(routes.post_completions));
+    ctx_http.post("/v1/completions",           ex_wrapper(routes.post_completions_oai));
+    ctx_http.post("/chat/completions",         ex_wrapper(routes.post_chat_completions));
+    ctx_http.post("/v1/chat/completions",      ex_wrapper(routes.post_chat_completions));
+    ctx_http.post("/v1/responses",             ex_wrapper(routes.post_responses_oai));
+    ctx_http.post("/responses",                ex_wrapper(routes.post_responses_oai));
+    ctx_http.post("/v1/audio/transcriptions",  ex_wrapper(routes.post_transcriptions_oai));
+    ctx_http.post("/audio/transcriptions",     ex_wrapper(routes.post_transcriptions_oai));
+    ctx_http.post("/v1/messages",              ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API
     ctx_http.post("/v1/messages/count_tokens", ex_wrapper(routes.post_anthropic_count_tokens)); // anthropic token counting
-    ctx_http.post("/infill",              ex_wrapper(routes.post_infill));
-    ctx_http.post("/embedding",           ex_wrapper(routes.post_embeddings)); // legacy
-    ctx_http.post("/embeddings",          ex_wrapper(routes.post_embeddings));
-    ctx_http.post("/v1/embeddings",       ex_wrapper(routes.post_embeddings_oai));
-    ctx_http.post("/rerank",              ex_wrapper(routes.post_rerank));
-    ctx_http.post("/reranking",           ex_wrapper(routes.post_rerank));
-    ctx_http.post("/v1/rerank",           ex_wrapper(routes.post_rerank));
-    ctx_http.post("/v1/reranking",        ex_wrapper(routes.post_rerank));
-    ctx_http.post("/tokenize",            ex_wrapper(routes.post_tokenize));
-    ctx_http.post("/detokenize",          ex_wrapper(routes.post_detokenize));
-    ctx_http.post("/apply-template",      ex_wrapper(routes.post_apply_template));
+    ctx_http.post("/infill",                   ex_wrapper(routes.post_infill));
+    ctx_http.post("/embedding",                ex_wrapper(routes.post_embeddings)); // legacy
+    ctx_http.post("/embeddings",               ex_wrapper(routes.post_embeddings));
+    ctx_http.post("/v1/embeddings",            ex_wrapper(routes.post_embeddings_oai));
+    ctx_http.post("/rerank",                   ex_wrapper(routes.post_rerank));
+    ctx_http.post("/reranking",                ex_wrapper(routes.post_rerank));
+    ctx_http.post("/v1/rerank",                ex_wrapper(routes.post_rerank));
+    ctx_http.post("/v1/reranking",             ex_wrapper(routes.post_rerank));
+    ctx_http.post("/tokenize",                 ex_wrapper(routes.post_tokenize));
+    ctx_http.post("/detokenize",               ex_wrapper(routes.post_detokenize));
+    ctx_http.post("/apply-template",           ex_wrapper(routes.post_apply_template));
     // LoRA adapters hotswap
-    ctx_http.get ("/lora-adapters",       ex_wrapper(routes.get_lora_adapters));
-    ctx_http.post("/lora-adapters",       ex_wrapper(routes.post_lora_adapters));
+    ctx_http.get ("/lora-adapters",            ex_wrapper(routes.get_lora_adapters));
+    ctx_http.post("/lora-adapters",            ex_wrapper(routes.post_lora_adapters));
     // Save & load slots
-    ctx_http.get ("/slots",               ex_wrapper(routes.get_slots));
-    ctx_http.post("/slots/:id_slot",      ex_wrapper(routes.post_slots));
+    ctx_http.get ("/slots",                    ex_wrapper(routes.get_slots));
+    ctx_http.post("/slots/:id_slot",           ex_wrapper(routes.post_slots));
     // CORS proxy (EXPERIMENTAL, only used by the Web UI for MCP)
     if (params.webui_mcp_proxy) {
         SRV_WRN("%s", "-----------------\n");
@@ -211,6 +213,16 @@ int main(int argc, char ** argv) {
         ctx_http.get ("/cors-proxy",      ex_wrapper(proxy_handler_get));
         ctx_http.post("/cors-proxy",      ex_wrapper(proxy_handler_post));
     }
+    // EXPERIMENTAL built-in tools
+    if (!params.server_tools.empty()) {
+        tools.setup(params.server_tools);
+        SRV_WRN("%s", "-----------------\n");
+        SRV_WRN("%s", "Built-in tools are enabled, do not expose server to untrusted environments\n");
+        SRV_WRN("%s", "This feature is EXPERIMENTAL and may be changed in the future\n");
+        SRV_WRN("%s", "-----------------\n");
+        ctx_http.get ("/tools",           ex_wrapper(tools.handle_get));
+        ctx_http.post("/tools",           ex_wrapper(tools.handle_post));
+    }
 
     //
     // Start the server
@@ -259,6 +271,12 @@ int main(int argc, char ** argv) {
         // load the model
         LOG_INF("%s: loading model\n", __func__);
 
+        if (server_models::is_child_server()) {
+            ctx_server.on_sleeping_changed([&](bool sleeping) {
+                server_models::notify_router_sleeping_state(sleeping);
+            });
+        }
+
         if (!ctx_server.load_model(params)) {
             clean_up();
             if (ctx_http.thread.joinable()) {
@@ -309,9 +327,8 @@ int main(int argc, char ** argv) {
         LOG_INF("%s: starting the main loop...\n", __func__);
 
         // optionally, notify router server that this instance is ready
-        const char * router_port = std::getenv("LLAMA_SERVER_ROUTER_PORT");
         std::thread monitor_thread;
-        if (router_port != nullptr) {
+        if (server_models::is_child_server()) {
             monitor_thread = server_models::setup_child_server(shutdown_handler);
         }
 
@@ -328,7 +345,7 @@ int main(int argc, char ** argv) {
 
         auto * ll_ctx = ctx_server.get_llama_context();
         if (ll_ctx != nullptr) {
-            llama_memory_breakdown_print(ll_ctx);
+            common_memory_breakdown_print(ll_ctx);
         }
     }
 
diff --git a/tools/server/tests/requirements.txt b/tools/server/tests/requirements.txt
index ca79d025eda6e415c66bdabb42f58e4a8ae82878..e4e29584fa11d90cd92447c174715bb60bb3a78c 100644
--- a/tools/server/tests/requirements.txt
+++ b/tools/server/tests/requirements.txt
@@ -1,8 +1,3 @@
-aiohttp~=3.9.3
-pytest~=8.3.3
-huggingface_hub>=0.34.0,<1.0
-numpy~=1.26.4
-openai~=2.14.0
-prometheus-client~=0.20.0
-requests~=2.32.3
-wget~=3.2
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ad6142e6b94fd966d47c3f99823a9c09e6b85d27ef2ee077b9c4ae56e69042a
+size 147
diff --git a/tools/server/tests/unit/test_chat_completion.py b/tools/server/tests/unit/test_chat_completion.py
index d56a930f7c16f2567ab7d97955b34dc0d1eb67b1..edef0a93b49ccb245e1f858df096d1d3e7e672d3 100644
--- a/tools/server/tests/unit/test_chat_completion.py
+++ b/tools/server/tests/unit/test_chat_completion.py
@@ -51,6 +51,27 @@ def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_conte
     assert choice["finish_reason"] == finish_reason
 
 
+def test_chat_completion_cached_tokens():
+    global server
+    server.n_slots = 1
+    server.start()
+    seq = [
+        ("1 2 3 4 5 6", 77, 0),
+        ("1 2 3 4 5 6", 77, 76),
+        ("1 2 3 4 5 9", 77, 51),
+        ("1 2 3 9 9 9", 77, 47),
+    ]
+    for user_prompt, n_prompt, n_cache in seq:
+        res = server.make_request("POST", "/chat/completions", data={
+            "max_tokens": 8,
+            "messages": [
+                {"role": "system", "content": "Test"},
+                {"role": "user", "content": user_prompt},
+            ],
+        })
+        assert res.body["usage"]["prompt_tokens"] == n_prompt
+        assert res.body["usage"]["prompt_tokens_details"]["cached_tokens"] == n_cache
+
 @pytest.mark.parametrize(
     "system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason",
     [
@@ -210,6 +231,7 @@ def test_completion_with_response_format(response_format: dict, n_predicted: int
 def test_completion_with_json_schema(jinja: bool, json_schema: dict, n_predicted: int, re_content: str):
     global server
     server.jinja = jinja
+    server.debug = True
     server.start()
     res = server.make_request("POST", "/chat/completions", data={
         "max_tokens": n_predicted,
diff --git a/tools/server/tests/unit/test_compat_anthropic.py b/tools/server/tests/unit/test_compat_anthropic.py
index 93ff03be6b4cf61651df80f1f79bdb53ce07b954..ef1948d4a532ad56317d94b36321cb99fb18fd18 100644
--- a/tools/server/tests/unit/test_compat_anthropic.py
+++ b/tools/server/tests/unit/test_compat_anthropic.py
@@ -63,8 +63,10 @@ def test_anthropic_messages_basic():
     assert "text" in res.body["content"][0], "Text content block missing 'text' field"
     assert res.body["stop_reason"] in ["end_turn", "max_tokens"], f"Invalid stop_reason: {res.body.get('stop_reason')}"
     assert "usage" in res.body, "Missing 'usage' field"
+    assert "cache_read_input_tokens" in res.body["usage"], "Missing usage.cache_read_input_tokens"
     assert "input_tokens" in res.body["usage"], "Missing usage.input_tokens"
     assert "output_tokens" in res.body["usage"], "Missing usage.output_tokens"
+    assert isinstance(res.body["usage"]["cache_read_input_tokens"], int), "cache_read_input_tokens should be integer"
     assert isinstance(res.body["usage"]["input_tokens"], int), "input_tokens should be integer"
     assert isinstance(res.body["usage"]["output_tokens"], int), "output_tokens should be integer"
     assert res.body["usage"]["output_tokens"] > 0, "Should have generated some tokens"
diff --git a/tools/server/tests/unit/test_completion.py b/tools/server/tests/unit/test_completion.py
index 61042da55c6b3a93f9f4fa3177267699267c73a8..c1a197854349d6f9efc347044feae64fdaacbb10 100644
--- a/tools/server/tests/unit/test_completion.py
+++ b/tools/server/tests/unit/test_completion.py
@@ -135,7 +135,7 @@ def test_completion_stream_with_openai_library_stops():
     client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
     res = client.completions.create(
         model="davinci-002",
-        prompt="System: You are helpfull assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
+        prompt="System: You are helpful assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
         stop=["User:\n", "Assistant:\n"],
         max_tokens=200,
         stream=True,
diff --git a/tools/server/tests/unit/test_ignore_eos.py b/tools/server/tests/unit/test_ignore_eos.py
new file mode 100644
index 0000000000000000000000000000000000000000..f40faf5a829c3cc26199a1ad3ff3a6766d72e6d8
--- /dev/null
+++ b/tools/server/tests/unit/test_ignore_eos.py
@@ -0,0 +1,43 @@
+import pytest
+from utils import *
+
+server = ServerPreset.tinyllama2()
+
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+
+
+def test_ignore_eos_populates_logit_bias():
+    """ignore_eos=true must add EOG logit biases to generation_settings."""
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "n_predict": 8,
+        "prompt": "Once upon a time",
+        "ignore_eos": True,
+        "temperature": 0.0,
+    })
+    assert res.status_code == 200
+    # EOG token biases must be present with -inf bias
+    logit_bias = res.body["generation_settings"]["logit_bias"]
+    assert len(logit_bias) > 0
+    for entry in logit_bias:
+        assert entry["bias"] is None  # null in JSON represents -inf
+
+
+def test_ignore_eos_false_no_logit_bias():
+    """ignore_eos=false (default) must NOT add EOG logit biases."""
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "n_predict": 8,
+        "prompt": "Once upon a time",
+        "ignore_eos": False,
+        "temperature": 0.0,
+    })
+    assert res.status_code == 200
+    logit_bias = res.body["generation_settings"]["logit_bias"]
+    assert len(logit_bias) == 0
diff --git a/tools/server/tests/unit/test_kv_keep_only_active.py b/tools/server/tests/unit/test_kv_keep_only_active.py
new file mode 100644
index 0000000000000000000000000000000000000000..f4b08b5dd0ef9d674ab5027167b803d8f16628f2
--- /dev/null
+++ b/tools/server/tests/unit/test_kv_keep_only_active.py
@@ -0,0 +1,115 @@
+import os
+import tempfile
+import pytest
+from utils import *
+
+server = ServerPreset.tinyllama2()
+
+class LogReader:
+    def __init__(self, path):
+        self.path = path
+        self.pos = 0
+    def drain(self):
+        with open(self.path) as f:
+            f.seek(self.pos)
+            content = f.read()
+            self.pos = f.tell()
+        return content
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+    server.n_slots = 2
+    server.n_predict = 4
+    server.temperature = 0.0
+    server.server_slots = True
+    server.cache_ram = 100
+    server.kv_unified = True
+    server.debug = True
+    fd, server.log_path = tempfile.mkstemp(suffix='.log')
+    os.close(fd)
+    yield
+
+
+LONG_PROMPT = (
+    "Once upon a time in a land far away, there lived a brave knight "
+    "who traveled across mountains and rivers to find the legendary "
+    "golden sword hidden deep within the enchanted forest of whispers. "
+    "He met many creatures along the way including dragons and fairies "
+    "and wizards who helped him on his noble quest to save the kingdom."
+)
+
+
+# idle slot cleared on launch should restore from cache-ram
+def test_clear_and_restore():
+    global server
+    server.start()
+    log = LogReader(server.log_path)
+
+    # verify feature is enabled
+    assert "__TEST_TAG_CLEAR_IDLE_ENABLED__" in log.drain()
+
+    res = server.make_request("POST", "/completion", data={
+        "prompt": LONG_PROMPT,
+        "id_slot": 0,
+        "cache_prompt": True,
+    })
+    assert res.status_code == 200
+    original_prompt_n = res.body["timings"]["prompt_n"]
+
+    # Slot 0 is the only slot with KV — should NOT be cleared
+    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" not in log.drain()
+
+    # Launching slot 1 clears idle slot 0
+    res = server.make_request("POST", "/completion", data={
+        "prompt": "The quick brown fox",
+        "id_slot": 1,
+        "cache_prompt": True,
+    })
+    assert res.status_code == 200
+    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" in log.drain()
+
+    # Re-send same prompt — should restore from cache-ram
+    res = server.make_request("POST", "/completion", data={
+        "prompt": LONG_PROMPT,
+        "cache_prompt": True,
+    })
+    assert res.status_code == 200
+    assert "updating prompt cache" in log.drain()
+    assert res.body["timings"]["cache_n"] > 0
+    assert res.body["timings"]["prompt_n"] < original_prompt_n
+
+    # Follow-up — slot 0 kept its KV, no clearing needed
+    res = server.make_request("POST", "/completion", data={
+        "prompt": LONG_PROMPT + " The knight finally reached the castle gates.",
+        "cache_prompt": True,
+    })
+    assert res.status_code == 200
+    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" not in log.drain()
+
+
+def test_disabled_with_flag():
+    global server
+    server.no_cache_idle_slots = True
+    server.start()
+    log = LogReader(server.log_path)
+
+    # Feature should not be enabled
+    assert "__TEST_TAG_CLEAR_IDLE_ENABLED__" not in log.drain()
+
+    res = server.make_request("POST", "/completion", data={
+        "prompt": LONG_PROMPT,
+        "id_slot": 0,
+        "cache_prompt": True,
+    })
+    assert res.status_code == 200
+
+    # Request on different slot — should NOT trigger clearing
+    res = server.make_request("POST", "/completion", data={
+        "prompt": "The quick brown fox",
+        "id_slot": 1,
+        "cache_prompt": True,
+    })
+    assert res.status_code == 200
+    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" not in log.drain()
diff --git a/tools/server/tests/unit/test_router.py b/tools/server/tests/unit/test_router.py
index e85f2c33829bd74acda7714bbd68bd3b9984c281..79e60db40830c6ab9458ca9c73504841c5f50705 100644
--- a/tools/server/tests/unit/test_router.py
+++ b/tools/server/tests/unit/test_router.py
@@ -9,6 +9,19 @@ def create_server():
     server = ServerPreset.router()
 
 
+def test_router_props():
+    global server
+    server.models_max = 2
+    server.no_models_autoload = True
+    server.start()
+    res = server.make_request("GET", "/props")
+    assert res.status_code == 200
+    assert res.body["role"] == "router"
+    assert res.body["max_instances"] == 2
+    assert res.body["models_autoload"] is False
+    assert res.body["build_info"].startswith("b")
+
+
 @pytest.mark.parametrize(
     "model,success",
     [
@@ -103,8 +116,8 @@ def test_router_models_max_evicts_lru():
 
     candidate_models = [
         "ggml-org/tinygemma3-GGUF:Q8_0",
-        "ggml-org/test-model-stories260K",
-        "ggml-org/test-model-stories260K-infill",
+        "ggml-org/test-model-stories260K:F32",
+        "ggml-org/test-model-stories260K-infill:F32",
     ]
 
     # Load only the first 2 models to fill the cache
diff --git a/tools/server/tests/unit/test_security.py b/tools/server/tests/unit/test_security.py
index 8c38b89d535e38b9d8a4e2ce26ba2bf248ce1aee..bb22095f125ca09027387911dbd0449fb30074bd 100644
--- a/tools/server/tests/unit/test_security.py
+++ b/tools/server/tests/unit/test_security.py
@@ -22,6 +22,15 @@ def test_access_public_endpoint(endpoint: str):
     assert "error" not in res.body
 
 
+def test_access_static_assets_without_api_key():
+    """Static web UI assets should not require API key authentication (issue #21229)"""
+    global server
+    server.start()
+    for path in ["/", "/bundle.js", "/bundle.css"]:
+        res = server.make_request("GET", path)
+        assert res.status_code == 200, f"Expected 200 for {path}, got {res.status_code}"
+
+
 @pytest.mark.parametrize("api_key", [None, "invalid-key"])
 def test_incorrect_api_key(api_key: str):
     global server
diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py
index ba41cd44ea93e72b1274a0c7dfc021e675e68664..b1a5ab9da4e03b9b5f209ea13caa19172fd543da 100644
--- a/tools/server/tests/unit/test_tool_call.py
+++ b/tools/server/tests/unit/test_tool_call.py
@@ -9,6 +9,7 @@ sys.path.insert(0, str(path))
 
 from utils import *
 from enum import Enum
+from typing import TypedDict
 
 server: ServerProcess
 
@@ -29,56 +30,73 @@ class CompletionMode(Enum):
     NORMAL = "normal"
     STREAMED = "streamed"
 
-TEST_TOOL = {
-    "type":"function",
-    "function": {
-        "name": "test",
-        "description": "",
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "success": {"type": "boolean", "const": True},
+class ToolParameters(TypedDict):
+    type: str
+    properties: dict[str, dict]
+    required: list[str]
+
+class ToolFunction(TypedDict):
+    name: str
+    description: str
+    parameters: ToolParameters
+
+class ToolDefinition(TypedDict):
+    type: str
+    function: ToolFunction
+
+TEST_TOOL = ToolDefinition(
+    type = "function",
+    function = ToolFunction(
+        name = "test",
+        description = "",
+        parameters = ToolParameters(
+            type = "object",
+            properties = {
+                "success": {
+                    "type": "boolean",
+                    "const": True,
+                },
             },
-            "required": ["success"]
-        }
-    }
-}
-
-PYTHON_TOOL = {
-    "type": "function",
-    "function": {
-        "name": "python",
-        "description": "Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
-        "parameters": {
-            "type": "object",
-            "properties": {
+            required = ["success"],
+        ),
+    ),
+)
+
+PYTHON_TOOL = ToolDefinition(
+    type = "function",
+    function = ToolFunction(
+        name = "python",
+        description = "Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
+        parameters = ToolParameters(
+            type = "object",
+            properties = {
                 "code": {
                     "type": "string",
-                    "description": "The code to run in the ipython interpreter."
-                }
+                    "description": "The code to run in the ipython interpreter.",
+                },
+            },
+            required = ["code"],
+        ),
+    ),
+)
+
+WEATHER_TOOL = ToolDefinition(
+    type = "function",
+    function = ToolFunction(
+        name = "get_current_weather",
+        description = "Get the current weather in a given location",
+        parameters = ToolParameters(
+            type = "object",
+            properties = {
+                "location": {
+                    "type": "string",
+                    "description": "The city and country/state, e.g. 'San Francisco, CA', or 'Paris, France'",
+                },
             },
-            "required": ["code"]
-        }
-    }
-}
-
-WEATHER_TOOL = {
-  "type":"function",
-  "function":{
-    "name":"get_current_weather",
-    "description":"Get the current weather in a given location",
-    "parameters":{
-      "type":"object",
-      "properties":{
-        "location":{
-          "type":"string",
-          "description":"The city and country/state, e.g. 'San Francisco, CA', or 'Paris, France'"
-        }
-      },
-      "required":["location"]
-    }
-  }
-}
+            required = ["location"],
+        ),
+    ),
+)
 
 def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict, argument_key: str | None, n_predict, **kwargs):
     body = server.make_any_request("POST", "/v1/chat/completions", data={
diff --git a/tools/server/tests/unit/test_vision_api.py b/tools/server/tests/unit/test_vision_api.py
index 9408116d1cff33e113429ea508445eca7f15694b..fb77084c89b6a7d6ff3968aade83d233c68b5671 100644
--- a/tools/server/tests/unit/test_vision_api.py
+++ b/tools/server/tests/unit/test_vision_api.py
@@ -37,6 +37,7 @@ JSON_PROMPT_STRING_KEY = "prompt_string"
 @pytest.fixture(autouse=True)
 def create_server():
     global server
+    os.environ['LLAMA_MEDIA_MARKER'] = '<__media__>'
     server = ServerPreset.tinygemma3()
 
 def test_models_supports_multimodal_capability():
diff --git a/tools/server/tests/utils.py b/tools/server/tests/utils.py
index c6fe11261f96764121aeb72580f0528ffa8c5e42..ddbb76c9adb49e825bf7aa8135ce36397359a4fd 100644
--- a/tools/server/tests/utils.py
+++ b/tools/server/tests/utils.py
@@ -102,6 +102,9 @@ class ServerProcess:
     mmproj_url: str | None = None
     media_path: str | None = None
     sleep_idle_seconds: int | None = None
+    cache_ram: int | None = None
+    no_cache_idle_slots: bool = False
+    log_path: str | None = None
     webui_mcp_proxy: bool = False
 
     # session variables
@@ -116,7 +119,7 @@ class ServerProcess:
             self.server_port = int(os.environ["PORT"])
         self.external_server = "DEBUG_EXTERNAL" in os.environ
 
-    def start(self, timeout_seconds: int | None = DEFAULT_HTTP_TIMEOUT) -> None:
+    def start(self, timeout_seconds: int = DEFAULT_HTTP_TIMEOUT) -> None:
         if self.external_server:
             print(f"[external_server]: Assuming external server running on {self.server_host}:{self.server_port}")
             return
@@ -237,6 +240,10 @@ class ServerProcess:
             server_args.extend(["--media-path", self.media_path])
         if self.sleep_idle_seconds is not None:
             server_args.extend(["--sleep-idle-seconds", self.sleep_idle_seconds])
+        if self.cache_ram is not None:
+            server_args.extend(["--cache-ram", self.cache_ram])
+        if self.no_cache_idle_slots:
+            server_args.append("--no-cache-idle-slots")
         if self.webui_mcp_proxy:
             server_args.append("--webui-mcp-proxy")
 
@@ -249,11 +256,16 @@ class ServerProcess:
             flags |= subprocess.CREATE_NEW_PROCESS_GROUP
             flags |= subprocess.CREATE_NO_WINDOW
 
+        if self.log_path:
+            self._log = open(self.log_path, "w")
+        else:
+            self._log = sys.stdout
+
         self.process = subprocess.Popen(
             [str(arg) for arg in [server_path, *server_args]],
             creationflags=flags,
-            stdout=sys.stdout,
-            stderr=sys.stdout,
+            stdout=self._log,
+            stderr=self._log if self._log != sys.stdout else sys.stdout,
             env={**os.environ, "LLAMA_CACHE": "tmp"} if "LLAMA_CACHE" not in os.environ else None,
         )
         server_instances.add(self)
@@ -288,8 +300,18 @@ class ServerProcess:
             server_instances.remove(self)
         if self.process:
             print(f"Stopping server with pid={self.process.pid}")
-            self.process.kill()
+            self.process.terminate()
+            try:
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                print(f"Server pid={self.process.pid} did not terminate in time, killing")
+                self.process.kill()
+                self.process.wait(timeout=5)
+            except Exception as e:
+                print(f"Error waiting for server: {e}")
             self.process = None
+        if hasattr(self, '_log') and self._log != sys.stdout:
+            self._log.close()
 
     def make_request(
         self,
diff --git a/tools/server/themes/README.md b/tools/server/themes/README.md
deleted file mode 100644
index 62e721a2758d8bbf23bd2e3aaa0aac3a4c3beaa1..0000000000000000000000000000000000000000
--- a/tools/server/themes/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# LLaMA.cpp Server Wild Theme
-
-Simple themes directory of sample "public" directories. To try any of these add --path to your run like `server --path=wild`.
-
-![image](wild/wild.png)
diff --git a/tools/server/themes/buttons-top/README.md b/tools/server/themes/buttons-top/README.md
deleted file mode 100644
index 808c4cf81a9590fba5070f71099939f82dab7aa3..0000000000000000000000000000000000000000
--- a/tools/server/themes/buttons-top/README.md
+++ /dev/null
@@ -1,7 +0,0 @@
-# LLaMA.cpp Server Buttons Top Theme
-
-Simple tweaks to the UI. Chat buttons at the top of the page instead of bottom so you can hit Stop instead of chasing it down the page.
-
-To use simply run server with `--path=themes/buttons_top`
-
-![image](buttons_top.png)
diff --git a/tools/server/themes/buttons-top/buttons_top.png b/tools/server/themes/buttons-top/buttons_top.png
deleted file mode 100644
index 1c7348e195e393adf05e139188db620ae1eff876..0000000000000000000000000000000000000000
--- a/tools/server/themes/buttons-top/buttons_top.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9dc742a3e24623ecbb71e364917a7f20a31783bb0fb2264e16daac1ef1253fa6
-size 119747
diff --git a/tools/server/themes/buttons-top/favicon.ico b/tools/server/themes/buttons-top/favicon.ico
deleted file mode 100644
index 89e154a0a7525ecd19379e8e200e36851c325d31..0000000000000000000000000000000000000000
Binary files a/tools/server/themes/buttons-top/favicon.ico and /dev/null differ
diff --git a/tools/server/themes/buttons-top/index.html b/tools/server/themes/buttons-top/index.html
deleted file mode 100644
index cb5af587aa4360be2a7bf7cc7bce4480a0a64111..0000000000000000000000000000000000000000
--- a/tools/server/themes/buttons-top/index.html
+++ /dev/null
@@ -1,1052 +0,0 @@
-<html>
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <style>
-    body {
-      font-family: system-ui;
-      font-size: 90%;
-    }
-
-    #container {
-      margin: 0em auto;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      height: 100%;
-    }
-
-    main {
-      margin: 3px;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      gap: 1em;
-
-      flex-grow: 1;
-      overflow-y: auto;
-
-      border: 1px solid #ccc;
-      border-radius: 5px;
-      padding: 0.5em;
-    }
-
-    body {
-      max-width: 600px;
-      min-width: 300px;
-      line-height: 1.2;
-      margin: 0 auto;
-      padding: 0 0.5em;
-    }
-
-    p {
-      overflow-wrap: break-word;
-      word-wrap: break-word;
-      hyphens: auto;
-      margin-top: 0.5em;
-      margin-bottom: 0.5em;
-    }
-
-    #write form {
-      margin: 1em 0 0 0;
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-      align-items: stretch;
-    }
-
-    .right {
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-    }
-
-    fieldset {
-      border: none;
-      padding: 0;
-      margin: 0;
-    }
-
-    fieldset.two {
-      display: grid;
-      grid-template: "a a";
-      gap: 1em;
-    }
-
-    fieldset.three {
-      display: grid;
-      grid-template: "a a a";
-      gap: 1em;
-    }
-
-    details {
-      border: 1px solid #aaa;
-      border-radius: 4px;
-      padding: 0.5em 0.5em 0;
-      margin-top: 0.5em;
-    }
-
-    summary {
-      font-weight: bold;
-      margin: -0.5em -0.5em 0;
-      padding: 0.5em;
-      cursor: pointer;
-    }
-
-    details[open] {
-      padding: 0.5em;
-    }
-
-    .prob-set {
-      padding: 0.3em;
-      border-bottom: 1px solid #ccc;
-    }
-
-    .popover-content {
-      position: absolute;
-      background-color: white;
-      padding: 0.2em;
-      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-    }
-
-    textarea {
-      padding: 5px;
-      flex-grow: 1;
-      width: 100%;
-    }
-
-    pre code {
-      display: block;
-      background-color: #222;
-      color: #ddd;
-    }
-
-    code {
-      font-family: monospace;
-      padding: 0.1em 0.3em;
-      border-radius: 3px;
-    }
-
-    fieldset label {
-      margin: 0.5em 0;
-      display: block;
-    }
-
-    fieldset label.slim {
-      margin: 0 0.5em;
-      display: inline;
-    }
-
-    header,
-    footer {
-      text-align: center;
-    }
-
-    footer {
-      font-size: 80%;
-      color: #888;
-    }
-
-    .mode-chat textarea[name=prompt] {
-      height: 4.5em;
-    }
-
-    .mode-completion textarea[name=prompt] {
-      height: 10em;
-    }
-
-    [contenteditable] {
-      display: inline-block;
-      white-space: pre-wrap;
-      outline: 0px solid transparent;
-    }
-
-    @keyframes loading-bg-wipe {
-      0% {
-        background-position: 0%;
-      }
-
-      100% {
-        background-position: 100%;
-      }
-    }
-
-    .loading {
-      --loading-color-1: #eeeeee00;
-      --loading-color-2: #eeeeeeff;
-      background-size: 50% 100%;
-      background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-      animation: loading-bg-wipe 2s linear infinite;
-    }
-
-    @media (prefers-color-scheme: dark) {
-      .loading {
-        --loading-color-1: #22222200;
-        --loading-color-2: #222222ff;
-      }
-
-      .popover-content {
-        background-color: black;
-      }
-    }
-  </style>
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
-      template: "{{prompt}}\n\n{{history}}\n{{char}}:",
-      historyTemplate: "{{name}}: {{message}}",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "Llama",
-      user: "User",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 400,
-      temperature: 0.7,
-      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.18, // 1.0 = disabled
-      top_k: 40, // <= 0 to use vocab size
-      top_p: 0.95, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-    /* START: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Resetting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: location.pathname.replace(/\/+$/, '') })) {
-        const data = chunk.data;
-
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");
-            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-
-        if (data.timings) {
-          llamaStats.value = data;
-        }
-      }
-
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join("\n"),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    function MessageInput() {
-      const message = useSignal("")
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-        <form onsubmit=${submit}>
-          <div>
-            <textarea
-               className=${generating.value ? "loading" : null}
-               oninput=${(e) => message.value = e.target.value}
-               onkeypress=${enterSubmits}
-               placeholder="Say something..."
-               rows=2
-               type="text"
-               value="${message}"
-            />
-          </div>
-          <div class="right">
-            <button type="submit" disabled=${generating.value}>Send</button>
-            <button onclick=${uploadImage}>Upload Image</button>
-            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-            <button onclick=${reset}>Reset</button>
-          </div>
-        </form>
-      `
-    }
-
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div>
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Reset</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const isCompletionMode = session.value.type === 'completion'
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data)
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          const text = isArrayMessage ?
-            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
-            data;
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-        if (user) {
-          return html`<p key=${index}><strong>${template(user)}:</strong> ${message}</p>`
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<p key=${index}>${message}</p>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-    const ConfigForm = (props) => {
-      const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-      const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-      const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-      const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-      const grammarJsonSchemaPropOrder = signal('')
-      const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-      const convertJSONSchemaGrammar = async () => {
-        try {
-          let schema = JSON.parse(params.value.grammar)
-          const converter = new SchemaConverter({
-            prop_order: grammarJsonSchemaPropOrder.value
-              .split(',')
-              .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-            allow_fetch: true,
-          })
-          schema = await converter.resolveRefs(schema, 'input')
-          converter.visit(schema, '')
-          params.value = {
-            ...params.value,
-            grammar: converter.formatGrammar(),
-          }
-        } catch (e) {
-          alert(`Convert failed: ${e.message}`)
-        }
-      }
-
-      const FloatField = ({ label, max, min, name, step, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const IntField = ({ label, max, min, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const BoolField = ({ label, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
-          </div>
-        `
-      };
-
-      const userTemplateReset = (e) => {
-        e.preventDefault();
-        userTemplateResetToDefaultAndApply()
-      }
-
-      const UserTemplateResetButton = () => {
-        if (selectedUserTemplate.value.name == 'default') {
-          return html`
-            <button disabled>Using default template</button>
-          `
-        }
-
-        return html`
-          <button onclick=${userTemplateReset}>Reset all to default</button>
-        `
-      };
-
-      useEffect(() => {
-        // autosave template on every change
-        userTemplateAutosave()
-      }, [session.value, params.value])
-
-      const GrammarControl = () => (
-        html`
-          <div>
-            <label for="template">Grammar</label>
-            <textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-            <input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-          `
-      );
-
-      const PromptControlFieldSet = () => (
-        html`
-        <fieldset>
-          <div>
-            <label htmlFor="prompt">Prompt</label>
-            <textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
-          </div>
-        </fieldset>
-        `
-      );
-
-      const ChatConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-
-          <fieldset class="two">
-            <div>
-              <label for="user">User name</label>
-              <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
-            </div>
-
-            <div>
-              <label for="bot">Bot name</label>
-              <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
-            </div>
-          </fieldset>
-
-          <fieldset>
-            <div>
-              <label for="template">Prompt template</label>
-              <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
-            </div>
-
-            <div>
-              <label for="template">Chat history template</label>
-              <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-            </div>
-            ${GrammarControl()}
-          </fieldset>
-      `
-      );
-
-      const CompletionConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-          <fieldset>${GrammarControl()}</fieldset>
-        `
-      );
-
-      return html`
-        <form>
-          <fieldset class="two">
-            <${UserTemplateResetButton}/>
-            <div>
-              <label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
-              <label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
-            </div>
-          </fieldset>
-
-          ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-          <fieldset class="two">
-            ${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
-            ${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-            ${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-            ${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
-            ${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
-            ${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-            ${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-          </fieldset>
-          <details>
-            <summary>More options</summary>
-            <fieldset class="two">
-              ${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-              ${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-              ${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-            </fieldset>
-            <hr />
-            <fieldset class="three">
-              <div>
-                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
-                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-              </div>
-              ${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-              ${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-            </fieldset>
-            <fieldset>
-              <label for="api_key">API Key</label>
-              <input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-            </fieldset>
-          </details>
-        </form>
-      `
-    }
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
-        .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*/g, '<em>$1</em>')
-        .replace(/_(.*?)_/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-        <span>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      useEffect(() => {
-        const query = new URLSearchParams(location.search).get("q");
-        if (query) chat(query);
-      }, []);
-
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <h1>llama.cpp</h1>
-          </header>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered by <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
-          </footer>
-        </div>
-      `;
-    }
-
-    render(h(App), document.querySelector('#container'));
-  </script>
-</head>
-
-<body>
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/themes/wild/README.md b/tools/server/themes/wild/README.md
deleted file mode 100644
index 560bcc81bfde12bb224c8cd9b9bbe3d8da22d3f4..0000000000000000000000000000000000000000
--- a/tools/server/themes/wild/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# LLaMA.cpp Server Wild Theme
-
-Simple tweaks to the UI. To use simply run server with `--path=themes/wild`
-
-![image](wild.png)
diff --git a/tools/server/themes/wild/favicon.ico b/tools/server/themes/wild/favicon.ico
deleted file mode 100644
index 89e154a0a7525ecd19379e8e200e36851c325d31..0000000000000000000000000000000000000000
Binary files a/tools/server/themes/wild/favicon.ico and /dev/null differ
diff --git a/tools/server/themes/wild/index.html b/tools/server/themes/wild/index.html
deleted file mode 100644
index 601f7762cd508d7ce0abe142f547d4c50c4083d3..0000000000000000000000000000000000000000
--- a/tools/server/themes/wild/index.html
+++ /dev/null
@@ -1,1056 +0,0 @@
-<html>
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <style>
-    body {
-      font-family: system-ui;
-      font-size: 90%;
-      background-image: url('llamapattern.png');
-    }
-
-    #container {
-      margin: 0em auto;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      height: 100%;
-    }
-
-    main {
-      margin: 3px;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      gap: 1em;
-
-      flex-grow: 1;
-      overflow-y: auto;
-
-      border: 1px solid #ccc;
-      border-radius: 5px;
-      padding: 0.5em;
-
-      background-color: rgba(255,255,255,0.9);
-    }
-
-    body {
-      max-width: 600px;
-      min-width: 300px;
-      line-height: 1.2;
-      margin: 0 auto;
-      padding: 0 0.5em;
-    }
-
-    p {
-      overflow-wrap: break-word;
-      word-wrap: break-word;
-      hyphens: auto;
-      margin-top: 0.5em;
-      margin-bottom: 0.5em;
-    }
-
-    #write form {
-      margin: 1em 0 0 0;
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-      align-items: stretch;
-    }
-
-    .right {
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-    }
-
-    fieldset {
-      border: none;
-      padding: 0;
-      margin: 0;
-    }
-
-    fieldset.two {
-      display: grid;
-      grid-template: "a a";
-      gap: 1em;
-    }
-
-    fieldset.three {
-      display: grid;
-      grid-template: "a a a";
-      gap: 1em;
-    }
-
-    details {
-      border: 1px solid #aaa;
-      border-radius: 4px;
-      padding: 0.5em 0.5em 0;
-      margin-top: 0.5em;
-    }
-
-    summary {
-      font-weight: bold;
-      margin: -0.5em -0.5em 0;
-      padding: 0.5em;
-      cursor: pointer;
-    }
-
-    details[open] {
-      padding: 0.5em;
-    }
-
-    .prob-set {
-      padding: 0.3em;
-      border-bottom: 1px solid #ccc;
-    }
-
-    .popover-content {
-      position: absolute;
-      background-color: white;
-      padding: 0.2em;
-      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-    }
-
-    textarea {
-      padding: 5px;
-      flex-grow: 1;
-      width: 100%;
-    }
-
-    pre code {
-      display: block;
-      background-color: #222;
-      color: #ddd;
-    }
-
-    code {
-      font-family: monospace;
-      padding: 0.1em 0.3em;
-      border-radius: 3px;
-    }
-
-    fieldset label {
-      margin: 0.5em 0;
-      display: block;
-    }
-
-    fieldset label.slim {
-      margin: 0 0.5em;
-      display: inline;
-    }
-
-    header,
-    footer {
-      text-align: center;
-    }
-
-    footer {
-      font-size: 80%;
-      color: #888;
-    }
-
-    .mode-chat textarea[name=prompt] {
-      height: 4.5em;
-    }
-
-    .mode-completion textarea[name=prompt] {
-      height: 10em;
-    }
-
-    [contenteditable] {
-      display: inline-block;
-      white-space: pre-wrap;
-      outline: 0px solid transparent;
-    }
-
-    @keyframes loading-bg-wipe {
-      0% {
-        background-position: 0%;
-      }
-
-      100% {
-        background-position: 100%;
-      }
-    }
-
-    .loading {
-      --loading-color-1: #eeeeee00;
-      --loading-color-2: #eeeeeeff;
-      background-size: 50% 100%;
-      background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-      animation: loading-bg-wipe 2s linear infinite;
-    }
-
-    @media (prefers-color-scheme: dark) {
-      .loading {
-        --loading-color-1: #22222200;
-        --loading-color-2: #222222ff;
-      }
-
-      .popover-content {
-        background-color: black;
-      }
-    }
-  </style>
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
-      template: "{{prompt}}\n\n{{history}}\n{{char}}:",
-      historyTemplate: "{{name}}: {{message}}",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "Llama",
-      user: "User",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 400,
-      temperature: 0.7,
-      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.18, // 1.0 = disabled
-      top_k: 40, // <= 0 to use vocab size
-      top_p: 0.95, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-    /* START: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Resetting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: location.pathname.replace(/\/+$/, '') })) {
-        const data = chunk.data;
-
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");
-            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-
-        if (data.timings) {
-          llamaStats.value = data;
-        }
-      }
-
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join("\n"),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    function MessageInput() {
-      const message = useSignal("")
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-        <form onsubmit=${submit}>
-          <div>
-            <textarea
-               className=${generating.value ? "loading" : null}
-               oninput=${(e) => message.value = e.target.value}
-               onkeypress=${enterSubmits}
-               placeholder="Say something..."
-               rows=2
-               type="text"
-               value="${message}"
-            />
-          </div>
-          <div class="right">
-            <button type="submit" disabled=${generating.value}>Send</button>
-            <button onclick=${uploadImage}>Upload Image</button>
-            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-            <button onclick=${reset}>Reset</button>
-          </div>
-        </form>
-      `
-    }
-
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div>
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Reset</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const isCompletionMode = session.value.type === 'completion'
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data)
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          const text = isArrayMessage ?
-            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
-            data;
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-        if (user) {
-          return html`<p key=${index}><strong>${template(user)}:</strong> ${message}</p>`
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<p key=${index}>${message}</p>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-    const ConfigForm = (props) => {
-      const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-      const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-      const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-      const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-      const grammarJsonSchemaPropOrder = signal('')
-      const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-      const convertJSONSchemaGrammar = async () => {
-        try {
-          let schema = JSON.parse(params.value.grammar)
-          const converter = new SchemaConverter({
-            prop_order: grammarJsonSchemaPropOrder.value
-              .split(',')
-              .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-            allow_fetch: true,
-          })
-          schema = await converter.resolveRefs(schema, 'input')
-          converter.visit(schema, '')
-          params.value = {
-            ...params.value,
-            grammar: converter.formatGrammar(),
-          }
-        } catch (e) {
-          alert(`Convert failed: ${e.message}`)
-        }
-      }
-
-      const FloatField = ({ label, max, min, name, step, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const IntField = ({ label, max, min, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const BoolField = ({ label, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
-          </div>
-        `
-      };
-
-      const userTemplateReset = (e) => {
-        e.preventDefault();
-        userTemplateResetToDefaultAndApply()
-      }
-
-      const UserTemplateResetButton = () => {
-        if (selectedUserTemplate.value.name == 'default') {
-          return html`
-            <button disabled>Using default template</button>
-          `
-        }
-
-        return html`
-          <button onclick=${userTemplateReset}>Reset all to default</button>
-        `
-      };
-
-      useEffect(() => {
-        // autosave template on every change
-        userTemplateAutosave()
-      }, [session.value, params.value])
-
-      const GrammarControl = () => (
-        html`
-          <div>
-            <label for="template">Grammar</label>
-            <textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-            <input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-          `
-      );
-
-      const PromptControlFieldSet = () => (
-        html`
-        <fieldset>
-          <div>
-            <label htmlFor="prompt">Prompt</label>
-            <textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
-          </div>
-        </fieldset>
-        `
-      );
-
-      const ChatConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-
-          <fieldset class="two">
-            <div>
-              <label for="user">User name</label>
-              <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
-            </div>
-
-            <div>
-              <label for="bot">Bot name</label>
-              <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
-            </div>
-          </fieldset>
-
-          <fieldset>
-            <div>
-              <label for="template">Prompt template</label>
-              <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
-            </div>
-
-            <div>
-              <label for="template">Chat history template</label>
-              <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-            </div>
-            ${GrammarControl()}
-          </fieldset>
-      `
-      );
-
-      const CompletionConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-          <fieldset>${GrammarControl()}</fieldset>
-        `
-      );
-
-      return html`
-        <form>
-          <fieldset class="two">
-            <${UserTemplateResetButton}/>
-            <div>
-              <label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
-              <label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
-            </div>
-          </fieldset>
-
-          ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-          <fieldset class="two">
-            ${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
-            ${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-            ${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-            ${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
-            ${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
-            ${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-            ${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-          </fieldset>
-          <details>
-            <summary>More options</summary>
-            <fieldset class="two">
-              ${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-              ${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-              ${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-            </fieldset>
-            <hr />
-            <fieldset class="three">
-              <div>
-                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
-                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-              </div>
-              ${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-              ${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-            </fieldset>
-            <fieldset>
-              <label for="api_key">API Key</label>
-              <input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-            </fieldset>
-          </details>
-        </form>
-      `
-    }
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
-        .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*/g, '<em>$1</em>')
-        .replace(/_(.*?)_/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-        <span>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      useEffect(() => {
-        const query = new URLSearchParams(location.search).get("q");
-        if (query) chat(query);
-      }, []);
-
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <img src="llama_cpp.png" style="width:100%"/>
-          </header>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered by <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
-          </footer>
-        </div>
-      `;
-    }
-
-    render(h(App), document.querySelector('#container'));
-  </script>
-</head>
-
-<body>
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/themes/wild/llama_cpp.png b/tools/server/themes/wild/llama_cpp.png
deleted file mode 100644
index 0f8422ec7d21ca06103eec44b0bd640d85bc4c0f..0000000000000000000000000000000000000000
--- a/tools/server/themes/wild/llama_cpp.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8e1af9420098e4005032259eb563cffeab5ca5e51e7d23949e024693be243d90
-size 76484
diff --git a/tools/server/themes/wild/llamapattern.png b/tools/server/themes/wild/llamapattern.png
deleted file mode 100644
index b366b127c6b176f8f80cc4ee96b841024b4c83d9..0000000000000000000000000000000000000000
--- a/tools/server/themes/wild/llamapattern.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:90a680eb7825b6cd75a9b2594ef29b1db1f3d417fa7fa33ca9410144b26ee87b
-size 259586
diff --git a/tools/server/themes/wild/wild.png b/tools/server/themes/wild/wild.png
deleted file mode 100644
index 16ab1564f5e0f73584731fb7317476d8ab0fdc68..0000000000000000000000000000000000000000
--- a/tools/server/themes/wild/wild.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2b21497c35087e3ea38ffc20b1ae31f8addc427d66c631b59b863ce330fa77ab
-size 496463
diff --git a/tools/server/webui/README.md b/tools/server/webui/README.md
index 6fc908e274fd7168c3fd7069d11ed2d87d357dce..4e6b2b8ae13860bdf17c6d7ba66f2c4bbef026f1 100644
--- a/tools/server/webui/README.md
+++ b/tools/server/webui/README.md
@@ -1,687 +1,3 @@
-# llama.cpp Web UI
-
-A modern, feature-rich web interface for llama.cpp built with SvelteKit. This UI provides an intuitive chat interface with advanced file handling, conversation management, and comprehensive model interaction capabilities.
-
-The WebUI supports two server operation modes:
-
-- **MODEL mode** - Single model operation (standard llama-server)
-- **ROUTER mode** - Multi-model operation with dynamic model loading/unloading
-
----
-
-## Table of Contents
-
-- [Features](#features)
-- [Getting Started](#getting-started)
-- [Tech Stack](#tech-stack)
-- [Build Pipeline](#build-pipeline)
-- [Architecture](#architecture)
-- [Data Flows](#data-flows)
-- [Architectural Patterns](#architectural-patterns)
-- [Testing](#testing)
-
----
-
-## Features
-
-### Chat Interface
-
-- **Streaming responses** with real-time updates
-- **Reasoning content** - Support for models with thinking/reasoning blocks
-- **Dark/light theme** with system preference detection
-- **Responsive design** for desktop and mobile
-
-### File Attachments
-
-- **Images** - JPEG, PNG, GIF, WebP, SVG (with PNG conversion)
-- **Documents** - PDF (text extraction or image conversion for vision models)
-- **Audio** - MP3, WAV for audio-capable models
-- **Text files** - Source code, markdown, and other text formats
-- **Drag-and-drop** and paste support with rich previews
-
-### Conversation Management
-
-- **Branching** - Branch messages conversations at any point by editing messages or regenerating responses, navigate between branches
-- **Regeneration** - Regenerate responses with optional model switching (ROUTER mode)
-- **Import/Export** - JSON format for backup and sharing
-- **Search** - Find conversations by title or content
-
-### Advanced Rendering
-
-- **Syntax highlighting** - Code blocks with language detection
-- **Math formulas** - KaTeX rendering for LaTeX expressions
-- **Markdown** - Full GFM support with tables, lists, and more
-
-### Multi-Model Support (ROUTER mode)
-
-- **Model selector** with Loaded/Available groups
-- **Automatic loading** - Models load on selection
-- **Modality validation** - Prevents sending images to non-vision models
-- **LRU unloading** - Server auto-manages model cache
-
-### Keyboard Shortcuts
-
-| Shortcut           | Action               |
-| ------------------ | -------------------- |
-| `Shift+Ctrl/Cmd+O` | New chat             |
-| `Shift+Ctrl/Cmd+E` | Edit conversation    |
-| `Shift+Ctrl/Cmd+D` | Delete conversation  |
-| `Ctrl/Cmd+K`       | Search conversations |
-| `Ctrl/Cmd+B`       | Toggle sidebar       |
-
-### Developer Experience
-
-- **Request tracking** - Monitor token generation with `/slots` endpoint
-- **Storybook** - Component library with visual testing
-- **Hot reload** - Instant updates during development
-
----
-
-## Getting Started
-
-### Prerequisites
-
-- **Node.js** 18+ (20+ recommended)
-- **npm** 9+
-- **llama-server** running locally (for API access)
-
-### 1. Install Dependencies
-
-```bash
-cd tools/server/webui
-npm install
-```
-
-### 2. Start llama-server
-
-In a separate terminal, start the backend server:
-
-```bash
-# Single model (MODEL mode)
-./llama-server -m model.gguf
-
-# Multi-model (ROUTER mode)
-./llama-server --models-dir /path/to/models
-```
-
-### 3. Start Development Servers
-
-```bash
-npm run dev
-```
-
-This starts:
-
-- **Vite dev server** at `http://localhost:5173` - The main WebUI
-- **Storybook** at `http://localhost:6006` - Component documentation
-
-The Vite dev server proxies API requests to `http://localhost:8080` (default llama-server port):
-
-```typescript
-// vite.config.ts proxy configuration
-proxy: {
-  '/v1': 'http://localhost:8080',
-  '/props': 'http://localhost:8080',
-  '/slots': 'http://localhost:8080',
-  '/models': 'http://localhost:8080'
-}
-```
-
-### Development Workflow
-
-1. Open `http://localhost:5173` in your browser
-2. Make changes to `.svelte`, `.ts`, or `.css` files
-3. Changes hot-reload instantly
-4. Use Storybook at `http://localhost:6006` for isolated component development
-
----
-
-## Tech Stack
-
-| Layer             | Technology                      | Purpose                                                  |
-| ----------------- | ------------------------------- | -------------------------------------------------------- |
-| **Framework**     | SvelteKit + Svelte 5            | Reactive UI with runes (`$state`, `$derived`, `$effect`) |
-| **UI Components** | shadcn-svelte + bits-ui         | Accessible, customizable component library               |
-| **Styling**       | TailwindCSS 4                   | Utility-first CSS with design tokens                     |
-| **Database**      | IndexedDB (Dexie)               | Client-side storage for conversations and messages       |
-| **Build**         | Vite                            | Fast bundling with static adapter                        |
-| **Testing**       | Playwright + Vitest + Storybook | E2E, unit, and visual testing                            |
-| **Markdown**      | remark + rehype                 | Markdown processing with KaTeX and syntax highlighting   |
-
-### Key Dependencies
-
-```json
-{
-	"svelte": "^5.0.0",
-	"bits-ui": "^2.8.11",
-	"dexie": "^4.0.11",
-	"pdfjs-dist": "^5.4.54",
-	"highlight.js": "^11.11.1",
-	"rehype-katex": "^7.0.1"
-}
-```
-
----
-
-## Build Pipeline
-
-### Development Build
-
-```bash
-npm run dev
-```
-
-Runs Vite in development mode with:
-
-- Hot Module Replacement (HMR)
-- Source maps
-- Proxy to llama-server
-
-### Production Build
-
-```bash
-npm run build
-```
-
-The build process:
-
-1. **Vite Build** - Bundles all TypeScript, Svelte, and CSS
-2. **Static Adapter** - Outputs to `../public` (llama-server's static file directory)
-3. **Post-Build Script** - Cleans up intermediate files
-4. **Custom Plugin** - Creates `index.html.gz` with:
-   - Inlined favicon as base64
-   - GZIP compression (level 9)
-   - Deterministic output (zeroed timestamps)
-
-```text
-tools/server/webui/        →  build  →  tools/server/public/
-├── src/                                 ├── index.html.gz  (served by llama-server)
-├── static/                              └── (favicon inlined)
-└── ...
-```
-
-### SvelteKit Configuration
-
-```javascript
-// svelte.config.js
-adapter: adapter({
-  pages: '../public',      // Output directory
-  assets: '../public',     // Static assets
-  fallback: 'index.html',  // SPA fallback
-  strict: true
-}),
-output: {
-  bundleStrategy: 'inline' // Single-file bundle
-}
-```
-
-### Integration with llama-server
-
-The WebUI is embedded directly into the llama-server binary:
-
-1. `npm run build` outputs `index.html.gz` to `tools/server/public/`
-2. llama-server compiles this into the binary at build time
-3. When accessing `/`, llama-server serves the gzipped HTML
-4. All assets are inlined (CSS, JS, fonts, favicon)
-
-This results in a **single portable binary** with the full WebUI included.
-
----
-
-## Architecture
-
-The WebUI follows a layered architecture with unidirectional data flow:
-
-```text
-Routes → Components → Hooks → Stores → Services → Storage/API
-```
-
-### High-Level Architecture
-
-See: [`docs/architecture/high-level-architecture-simplified.md`](docs/architecture/high-level-architecture-simplified.md)
-
-```mermaid
-flowchart TB
-    subgraph Routes["📍 Routes"]
-        R1["/ (Welcome)"]
-        R2["/chat/[id]"]
-        RL["+layout.svelte"]
-    end
-
-    subgraph Components["🧩 Components"]
-        C_Sidebar["ChatSidebar"]
-        C_Screen["ChatScreen"]
-        C_Form["ChatForm"]
-        C_Messages["ChatMessages"]
-        C_ModelsSelector["ModelsSelector"]
-        C_Settings["ChatSettings"]
-    end
-
-    subgraph Stores["🗄️ Stores"]
-        S1["chatStore"]
-        S2["conversationsStore"]
-        S3["modelsStore"]
-        S4["serverStore"]
-        S5["settingsStore"]
-    end
-
-    subgraph Services["⚙️ Services"]
-        SV1["ChatService"]
-        SV2["ModelsService"]
-        SV3["PropsService"]
-        SV4["DatabaseService"]
-    end
-
-    subgraph Storage["💾 Storage"]
-        ST1["IndexedDB"]
-        ST2["LocalStorage"]
-    end
-
-    subgraph APIs["🌐 llama-server"]
-        API1["/v1/chat/completions"]
-        API2["/props"]
-        API3["/models/*"]
-    end
-
-    R1 & R2 --> C_Screen
-    RL --> C_Sidebar
-    C_Screen --> C_Form & C_Messages & C_Settings
-    C_Screen --> S1 & S2
-    C_ModelsSelector --> S3 & S4
-    S1 --> SV1 & SV4
-    S3 --> SV2 & SV3
-    SV4 --> ST1
-    SV1 --> API1
-    SV2 --> API3
-    SV3 --> API2
-```
-
-### Layer Breakdown
-
-#### Routes (`src/routes/`)
-
-- **`/`** - Welcome screen, creates new conversation
-- **`/chat/[id]`** - Active chat interface
-- **`+layout.svelte`** - Sidebar, navigation, global initialization
-
-#### Components (`src/lib/components/`)
-
-Components are organized in `app/` (application-specific) and `ui/` (shadcn-svelte primitives).
-
-**Chat Components** (`app/chat/`):
-
-| Component          | Responsibility                                                              |
-| ------------------ | --------------------------------------------------------------------------- |
-| `ChatScreen/`      | Main chat container, coordinates message list, input form, and attachments  |
-| `ChatForm/`        | Message input textarea with file upload, paste handling, keyboard shortcuts |
-| `ChatMessages/`    | Message list with branch navigation, regenerate/continue/edit actions       |
-| `ChatAttachments/` | File attachment previews, drag-and-drop, PDF/image/audio handling           |
-| `ChatSettings/`    | Parameter sliders (temperature, top-p, etc.) with server default sync       |
-| `ChatSidebar/`     | Conversation list, search, import/export, navigation                        |
-
-**Dialog Components** (`app/dialogs/`):
-
-| Component                       | Responsibility                                           |
-| ------------------------------- | -------------------------------------------------------- |
-| `DialogChatSettings`            | Full-screen settings configuration                       |
-| `DialogModelInformation`        | Model details (context size, modalities, parallel slots) |
-| `DialogChatAttachmentPreview`   | Full preview for images, PDFs (text or page view), code  |
-| `DialogConfirmation`            | Generic confirmation for destructive actions             |
-| `DialogConversationTitleUpdate` | Edit conversation title                                  |
-
-**Server/Model Components** (`app/server/`, `app/models/`):
-
-| Component           | Responsibility                                            |
-| ------------------- | --------------------------------------------------------- |
-| `ServerErrorSplash` | Error display when server is unreachable                  |
-| `ModelsSelector`    | Model dropdown with Loaded/Available groups (ROUTER mode) |
-
-**Shared UI Components** (`app/misc/`):
-
-| Component                        | Responsibility                                                   |
-| -------------------------------- | ---------------------------------------------------------------- |
-| `MarkdownContent`                | Markdown rendering with KaTeX, syntax highlighting, copy buttons |
-| `SyntaxHighlightedCode`          | Code blocks with language detection and highlighting             |
-| `ActionButton`, `ActionDropdown` | Reusable action buttons and menus                                |
-| `BadgeModality`, `BadgeInfo`     | Status and capability badges                                     |
-
-#### Hooks (`src/lib/hooks/`)
-
-- **`useModelChangeValidation`** - Validates model switch against conversation modalities
-- **`useProcessingState`** - Tracks streaming progress and token generation
-
-#### Stores (`src/lib/stores/`)
-
-| Store                | Responsibility                                            |
-| -------------------- | --------------------------------------------------------- |
-| `chatStore`          | Message sending, streaming, abort control, error handling |
-| `conversationsStore` | CRUD for conversations, message branching, navigation     |
-| `modelsStore`        | Model list, selection, loading/unloading (ROUTER)         |
-| `serverStore`        | Server properties, role detection, modalities             |
-| `settingsStore`      | User preferences, parameter sync with server defaults     |
-
-#### Services (`src/lib/services/`)
-
-| Service                | Responsibility                                  |
-| ---------------------- | ----------------------------------------------- |
-| `ChatService`          | API calls to`/v1/chat/completions`, SSE parsing |
-| `ModelsService`        | `/models`, `/models/load`, `/models/unload`     |
-| `PropsService`         | `/props`, `/props?model=`                       |
-| `DatabaseService`      | IndexedDB operations via Dexie                  |
-| `ParameterSyncService` | Syncs settings with server defaults             |
-
----
-
-## Data Flows
-
-### MODEL Mode (Single Model)
-
-See: [`docs/flows/data-flow-simplified-model-mode.md`](docs/flows/data-flow-simplified-model-mode.md)
-
-```mermaid
-sequenceDiagram
-    participant User
-    participant UI
-    participant Stores
-    participant DB as IndexedDB
-    participant API as llama-server
-
-    Note over User,API: Initialization
-    UI->>Stores: initialize()
-    Stores->>DB: load conversations
-    Stores->>API: GET /props
-    API-->>Stores: server config
-    Stores->>API: GET /v1/models
-    API-->>Stores: single model (auto-selected)
-
-    Note over User,API: Chat Flow
-    User->>UI: send message
-    Stores->>DB: save user message
-    Stores->>API: POST /v1/chat/completions (stream)
-    loop streaming
-        API-->>Stores: SSE chunks
-        Stores-->>UI: reactive update
-    end
-    Stores->>DB: save assistant message
-```
-
-### ROUTER Mode (Multi-Model)
-
-See: [`docs/flows/data-flow-simplified-router-mode.md`](docs/flows/data-flow-simplified-router-mode.md)
-
-```mermaid
-sequenceDiagram
-    participant User
-    participant UI
-    participant Stores
-    participant API as llama-server
-
-    Note over User,API: Initialization
-    Stores->>API: GET /props
-    API-->>Stores: {role: "router"}
-    Stores->>API: GET /models
-    API-->>Stores: models[] with status
-
-    Note over User,API: Model Selection
-    User->>UI: select model
-    alt model not loaded
-        Stores->>API: POST /models/load
-        loop poll status
-            Stores->>API: GET /models
-        end
-        Stores->>API: GET /props?model=X
-    end
-    Stores->>Stores: validate modalities
-
-    Note over User,API: Chat Flow
-    Stores->>API: POST /v1/chat/completions {model: X}
-    loop streaming
-        API-->>Stores: SSE chunks + model info
-    end
-```
-
-### Detailed Flow Diagrams
-
-| Flow          | Description                                | File                                                        |
-| ------------- | ------------------------------------------ | ----------------------------------------------------------- |
-| Chat          | Message lifecycle, streaming, regeneration | [`chat-flow.md`](docs/flows/chat-flow.md)                   |
-| Models        | Loading, unloading, modality caching       | [`models-flow.md`](docs/flows/models-flow.md)               |
-| Server        | Props fetching, role detection             | [`server-flow.md`](docs/flows/server-flow.md)               |
-| Conversations | CRUD, branching, import/export             | [`conversations-flow.md`](docs/flows/conversations-flow.md) |
-| Database      | IndexedDB schema, operations               | [`database-flow.md`](docs/flows/database-flow.md)           |
-| Settings      | Parameter sync, user overrides             | [`settings-flow.md`](docs/flows/settings-flow.md)           |
-
----
-
-## Architectural Patterns
-
-### 1. Reactive State with Svelte 5 Runes
-
-All stores use Svelte 5's fine-grained reactivity:
-
-```typescript
-// Store with reactive state
-class ChatStore {
-	#isLoading = $state(false);
-	#currentResponse = $state('');
-
-	// Derived values auto-update
-	get isStreaming() {
-		return $derived(this.#isLoading && this.#currentResponse.length > 0);
-	}
-}
-
-// Exported reactive accessors
-export const isLoading = () => chatStore.isLoading;
-export const currentResponse = () => chatStore.currentResponse;
-```
-
-### 2. Unidirectional Data Flow
-
-Data flows in one direction, making state predictable:
-
-```mermaid
-flowchart LR
-    subgraph UI["UI Layer"]
-        A[User Action] --> B[Component]
-    end
-
-    subgraph State["State Layer"]
-        B --> C[Store Method]
-        C --> D[State Update]
-    end
-
-    subgraph IO["I/O Layer"]
-        C --> E[Service]
-        E --> F[API / IndexedDB]
-        F -.->|Response| D
-    end
-
-    D -->|Reactive| B
-```
-
-Components dispatch actions to stores, stores coordinate with services for I/O, and state updates reactively propagate back to the UI.
-
-### 3. Per-Conversation State
-
-Enables concurrent streaming across multiple conversations:
-
-```typescript
-class ChatStore {
-	chatLoadingStates = new Map<string, boolean>();
-	chatStreamingStates = new Map<string, { response: string; messageId: string }>();
-	abortControllers = new Map<string, AbortController>();
-}
-```
-
-### 4. Message Branching with Tree Structure
-
-Conversations are stored as a tree, not a linear list:
-
-```typescript
-interface DatabaseMessage {
-	id: string;
-	parent: string | null; // Points to parent message
-	children: string[]; // List of child message IDs
-	// ...
-}
-
-interface DatabaseConversation {
-	currentNode: string; // Currently viewed branch tip
-	// ...
-}
-```
-
-Navigation between branches updates `currentNode` without losing history.
-
-### 5. Layered Service Architecture
-
-Stores handle state; services handle I/O:
-
-```text
-┌─────────────────┐
-│     Stores      │  Business logic, state management
-├─────────────────┤
-│    Services     │  API calls, database operations
-├─────────────────┤
-│   Storage/API   │  IndexedDB, LocalStorage, HTTP
-└─────────────────┘
-```
-
-### 6. Server Role Abstraction
-
-Single codebase handles both MODEL and ROUTER modes:
-
-```typescript
-// serverStore.ts
-get isRouterMode() {
-  return this.role === ServerRole.ROUTER;
-}
-
-// Components conditionally render based on mode
-{#if isRouterMode()}
-  <ModelsSelector />
-{/if}
-```
-
-### 7. Modality Validation
-
-Prevents sending attachments to incompatible models:
-
-```typescript
-// useModelChangeValidation hook
-const validate = (modelId: string) => {
-	const modelModalities = modelsStore.getModelModalities(modelId);
-	const conversationModalities = conversationsStore.usedModalities;
-
-	// Check if model supports all used modalities
-	if (conversationModalities.hasImages && !modelModalities.vision) {
-		return { valid: false, reason: 'Model does not support images' };
-	}
-	// ...
-};
-```
-
-### 8. Persistent Storage Strategy
-
-Data is persisted across sessions using two storage mechanisms:
-
-```mermaid
-flowchart TB
-    subgraph Browser["Browser Storage"]
-        subgraph IDB["IndexedDB (Dexie)"]
-            C[Conversations]
-            M[Messages]
-        end
-        subgraph LS["LocalStorage"]
-            S[Settings Config]
-            O[User Overrides]
-            T[Theme Preference]
-        end
-    end
-
-    subgraph Stores["Svelte Stores"]
-        CS[conversationsStore] --> C
-        CS --> M
-        SS[settingsStore] --> S
-        SS --> O
-        SS --> T
-    end
-```
-
-- **IndexedDB**: Conversations and messages (large, structured data)
-- **LocalStorage**: Settings, user parameter overrides, theme (small key-value data)
-- **Memory only**: Server props, model list (fetched fresh on each session)
-
----
-
-## Testing
-
-### Test Types
-
-| Type          | Tool               | Location         | Command             |
-| ------------- | ------------------ | ---------------- | ------------------- |
-| **Unit**      | Vitest             | `tests/unit/`    | `npm run test:unit` |
-| **UI/Visual** | Storybook + Vitest | `tests/stories/` | `npm run test:ui`   |
-| **E2E**       | Playwright         | `tests/e2e/`     | `npm run test:e2e`  |
-| **Client**    | Vitest             | `tests/client/`. | `npm run test:unit` |
-
-### Running Tests
-
-```bash
-# All tests
-npm run test
-
-# Individual test suites
-npm run test:e2e      # End-to-end (requires llama-server)
-npm run test:client   # Client-side unit tests
-npm run test:server   # Server-side unit tests
-npm run test:ui       # Storybook visual tests
-```
-
-### Storybook Development
-
-```bash
-npm run storybook     # Start Storybook dev server on :6006
-npm run build-storybook  # Build static Storybook
-```
-
-### Linting and Formatting
-
-```bash
-npm run lint          # Check code style
-npm run format        # Auto-format with Prettier
-npm run check         # TypeScript type checking
-```
-
----
-
-## Project Structure
-
-```text
-tools/server/webui/
-├── src/
-│   ├── lib/
-│   │   ├── components/   # UI components (app/, ui/)
-│   │   ├── hooks/        # Svelte hooks
-│   │   ├── stores/       # State management
-│   │   ├── services/     # API and database services
-│   │   ├── types/        # TypeScript interfaces
-│   │   └── utils/        # Utility functions
-│   ├── routes/           # SvelteKit routes
-│   └── styles/           # Global styles
-├── static/               # Static assets
-├── tests/                # Test files
-├── docs/                 # Architecture diagrams
-│   ├── architecture/     # High-level architecture
-│   └── flows/            # Feature-specific flows
-└── .storybook/           # Storybook configuration
-```
-
----
-
-## Related Documentation
-
-- [llama.cpp Server README](../README.md) - Full server documentation
-- [Multimodal Documentation](../../../docs/multimodal.md) - Image and audio support
-- [Function Calling](../../../docs/function-calling.md) - Tool use capabilities
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dc79cc9da4a431d65fb0a5edb5fb5139d4b00273e5809e88aa41e3b539af824
+size 22440
diff --git a/tools/server/webui/package-lock.json b/tools/server/webui/package-lock.json
index 957fddabaa72ac970b1e40717ea487147b7e3b8d..2fcff658f6a128480cd2031459e2a0d1d263c240 100644
--- a/tools/server/webui/package-lock.json
+++ b/tools/server/webui/package-lock.json
@@ -1,11 +1,11 @@
 {
-	"name": "webui",
+	"name": "llama-server-webui",
 	"version": "1.0.0",
 	"lockfileVersion": 3,
 	"requires": true,
 	"packages": {
 		"": {
-			"name": "webui",
+			"name": "llama-server-webui",
 			"version": "1.0.0",
 			"dependencies": {
 				"@modelcontextprotocol/sdk": "^1.25.1",
@@ -51,7 +51,6 @@
 				"eslint-config-prettier": "^10.0.1",
 				"eslint-plugin-storybook": "^10.2.4",
 				"eslint-plugin-svelte": "^3.0.0",
-				"fflate": "^0.8.2",
 				"globals": "^16.0.0",
 				"http-server": "^14.1.1",
 				"mdast": "^3.0.0",
@@ -5051,13 +5050,6 @@
 				}
 			}
 		},
-		"node_modules/fflate": {
-			"version": "0.8.2",
-			"resolved": "https://registry.npmjs.org/fflate/-/fflate-0.8.2.tgz",
-			"integrity": "sha512-cPJU47OaAoCbg0pBvzsgpTPhmhqI5eJjh/JIu8tPj5q+T7iLvW/JAYUqmE7KOB4R1ZyEhzBaIQpQpardBF5z8A==",
-			"dev": true,
-			"license": "MIT"
-		},
 		"node_modules/file-entry-cache": {
 			"version": "8.0.0",
 			"resolved": "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-8.0.0.tgz",
diff --git a/tools/server/webui/package.json b/tools/server/webui/package.json
index f5cdc9e47f0b3b1187dee63b28a3b5b0b45fc8c8..cb33b4845be5cfb4986c551ec6a2c3e314760d53 100644
--- a/tools/server/webui/package.json
+++ b/tools/server/webui/package.json
@@ -1,5 +1,5 @@
 {
-	"name": "webui",
+	"name": "llama-server-webui",
 	"private": true,
 	"version": "1.0.0",
 	"type": "module",
@@ -50,7 +50,6 @@
 		"eslint-config-prettier": "^10.0.1",
 		"eslint-plugin-storybook": "^10.2.4",
 		"eslint-plugin-svelte": "^3.0.0",
-		"fflate": "^0.8.2",
 		"globals": "^16.0.0",
 		"http-server": "^14.1.1",
 		"mdast": "^3.0.0",
diff --git a/tools/server/webui/scripts/install-git-hooks.sh b/tools/server/webui/scripts/install-git-hooks.sh
index d14e2813891f03087b3b79612bb707fd06938699..efdea025c1631b7b2f67db3a1493e9cbb8deb163 100644
--- a/tools/server/webui/scripts/install-git-hooks.sh
+++ b/tools/server/webui/scripts/install-git-hooks.sh
@@ -1,14 +1,12 @@
 #!/bin/bash
 
-# Script to install pre-commit and pre-push hooks for webui
-# Pre-commit: formats code and runs checks
-# Pre-push: builds the project, stashes unstaged changes
+# Script to install pre-commit hook for webui
+# Pre-commit: formats, checks, builds, and stages build output
 
 REPO_ROOT=$(git rev-parse --show-toplevel)
 PRE_COMMIT_HOOK="$REPO_ROOT/.git/hooks/pre-commit"
-PRE_PUSH_HOOK="$REPO_ROOT/.git/hooks/pre-push"
 
-echo "Installing pre-commit and pre-push hooks for webui..."
+echo "Installing pre-commit hook for webui..."
 
 # Create the pre-commit hook
 cat > "$PRE_COMMIT_HOOK" << 'EOF'
@@ -16,21 +14,19 @@ cat > "$PRE_COMMIT_HOOK" << 'EOF'
 
 # Check if there are any changes in the webui directory
 if git diff --cached --name-only | grep -q "^tools/server/webui/"; then
-    echo "Formatting and checking webui code..."
-    
-    # Change to webui directory and run format
-    cd tools/server/webui
-    
-    # Check if npm is available and package.json exists
+    REPO_ROOT=$(git rev-parse --show-toplevel)
+    cd "$REPO_ROOT/tools/server/webui"
+
+    # Check if package.json exists
     if [ ! -f "package.json" ]; then
         echo "Error: package.json not found in tools/server/webui"
         exit 1
     fi
-    
+
+    echo "Formatting and checking webui code..."
+
     # Run the format command
     npm run format
-
-    # Check if format command succeeded
     if [ $? -ne 0 ]; then
         echo "Error: npm run format failed"
         exit 1
@@ -38,8 +34,6 @@ if git diff --cached --name-only | grep -q "^tools/server/webui/"; then
 
     # Run the lint command
     npm run lint
-    
-    # Check if lint command succeeded
     if [ $? -ne 0 ]; then
         echo "Error: npm run lint failed"
         exit 1
@@ -47,156 +41,42 @@ if git diff --cached --name-only | grep -q "^tools/server/webui/"; then
 
     # Run the check command
     npm run check
-    
-    # Check if check command succeeded
     if [ $? -ne 0 ]; then
         echo "Error: npm run check failed"
         exit 1
     fi
 
-    # Go back to repo root
-    cd ../../..
-    
     echo "✅ Webui code formatted and checked successfully"
-fi
-
-exit 0
-EOF
-
-# Create the pre-push hook
-cat > "$PRE_PUSH_HOOK" << 'EOF'
-#!/bin/bash
 
-# Check if there are any webui changes that need building
-WEBUI_CHANGES=$(git diff --name-only @{push}..HEAD | grep "^tools/server/webui/" || true)
-
-if [ -n "$WEBUI_CHANGES" ]; then
-    echo "Webui changes detected, checking if build is up-to-date..."
-    
-    # Change to webui directory
-    cd tools/server/webui
-    
-    # Check if npm is available and package.json exists
-    if [ ! -f "package.json" ]; then
-        echo "Error: package.json not found in tools/server/webui"
+    # Build the webui
+    echo "Building webui..."
+    npm run build
+    if [ $? -ne 0 ]; then
+        echo "❌ npm run build failed"
         exit 1
     fi
-    
-    # Check if build output exists and is newer than source files
-    BUILD_FILE="../public/index.html.gz"
-    NEEDS_BUILD=false
-    
-    if [ ! -f "$BUILD_FILE" ]; then
-        echo "Build output not found, building..."
-        NEEDS_BUILD=true
-    else
-        # Check if any source files are newer than the build output
-        if find src -newer "$BUILD_FILE" -type f | head -1 | grep -q .; then
-            echo "Source files are newer than build output, rebuilding..."
-            NEEDS_BUILD=true
-        fi
-    fi
-    
-    if [ "$NEEDS_BUILD" = true ]; then
-        echo "Building webui..."
-        
-        # Stash any unstaged changes to avoid conflicts during build
-        echo "Checking for unstaged changes..."
-        if ! git diff --quiet || ! git diff --cached --quiet --diff-filter=A; then
-            echo "Stashing unstaged changes..."
-            git stash push --include-untracked -m "Pre-push hook: stashed unstaged changes"
-            STASH_CREATED=$?
-        else
-            echo "No unstaged changes to stash"
-            STASH_CREATED=1
-        fi
-        
-        # Run the build command
-        npm run build
-        
-        # Check if build command succeeded
-        if [ $? -ne 0 ]; then
-            echo "Error: npm run build failed"
-            if [ $STASH_CREATED -eq 0 ]; then
-                echo "You can restore your unstaged changes with: git stash pop"
-            fi
-            exit 1
-        fi
-
-        # Go back to repo root
-        cd ../../..
-        
-        # Check if build output was created/updated
-        if [ -f "tools/server/public/index.html.gz" ]; then
-            # Add the build output and commit it
-            git add tools/server/public/index.html.gz
-            if ! git diff --cached --quiet; then
-                echo "Committing updated build output..."
-                git commit -m "chore: update webui build output"
-                echo "✅ Build output committed successfully"
-            else
-                echo "Build output unchanged"
-            fi
-        else
-            echo "Error: Build output not found after build"
-            if [ $STASH_CREATED -eq 0 ]; then
-                echo "You can restore your unstaged changes with: git stash pop"
-            fi
-            exit 1
-        fi
-        
-        if [ $STASH_CREATED -eq 0 ]; then
-            echo "✅ Build completed. Your unstaged changes have been stashed."
-            echo "They will be automatically restored after the push."
-            # Create a marker file to indicate stash was created by pre-push hook
-            touch .git/WEBUI_PUSH_STASH_MARKER
-        fi
-    else
-        echo "✅ Build output is up-to-date"
-    fi
-    
-    echo "✅ Webui ready for push"
-fi
-
-exit 0
-EOF
 
-# Create the post-push hook (for restoring stashed changes after push)
-cat > "$REPO_ROOT/.git/hooks/post-push" << 'EOF'
-#!/bin/bash
+    # Stage the build output alongside the source changes
+    cd "$REPO_ROOT"
+    git add tools/server/public/
 
-# Check if we have a stash marker from the pre-push hook
-if [ -f .git/WEBUI_PUSH_STASH_MARKER ]; then
-    echo "Restoring your unstaged changes after push..."
-    git stash pop
-    rm -f .git/WEBUI_PUSH_STASH_MARKER
-    echo "✅ Your unstaged changes have been restored."
+    echo "✅ Webui built and build output staged"
 fi
 
 exit 0
 EOF
 
-# Make all hooks executable
+# Make hook executable
 chmod +x "$PRE_COMMIT_HOOK"
-chmod +x "$PRE_PUSH_HOOK"
-chmod +x "$REPO_ROOT/.git/hooks/post-push"
 
 if [ $? -eq 0 ]; then
-    echo "✅ Git hooks installed successfully!"
+    echo "✅ Git hook installed successfully!"
     echo "   Pre-commit: $PRE_COMMIT_HOOK"
-    echo "   Pre-push:   $PRE_PUSH_HOOK"
-    echo "   Post-push:  $REPO_ROOT/.git/hooks/post-push"
-    echo ""
-    echo "The hooks will automatically:"
-    echo "  • Format and check webui code before commits (pre-commit)"
-    echo "  • Build webui code before pushes (pre-push)"
-    echo "  • Stash unstaged changes during build process"
-    echo "  • Restore your unstaged changes after the push"
     echo ""
-    echo "To test the hooks:"
-    echo "  • Make a change to a file in the webui directory and commit it (triggers format/check)"
-    echo "  • Push your commits to trigger the build process"
+    echo "The hook will automatically:"
+    echo "  • Format, lint and check webui code before commits"
+    echo "  • Build webui and stage tools/server/public/ into the same commit"
 else
-    echo "❌ Failed to make hooks executable"
+    echo "❌ Failed to make hook executable"
     exit 1
 fi
diff --git a/tools/server/webui/scripts/post-build.sh b/tools/server/webui/scripts/post-build.sh
index a49d6cc107e04edb73efc17e6030fb0004e5fb24..55e46d5d5c62b0b2fc0b125e6c1a3cf9f750ba97 100644
--- a/tools/server/webui/scripts/post-build.sh
+++ b/tools/server/webui/scripts/post-build.sh
@@ -1,3 +1,3 @@
 rm -rf ../public/_app;
 rm ../public/favicon.svg;
-rm ../public/index.html;
+rm -f ../public/index.html.gz; # deprecated, but may still be generated by older versions of the build process
diff --git a/tools/server/webui/scripts/vite-plugin-llama-cpp-build.ts b/tools/server/webui/scripts/vite-plugin-llama-cpp-build.ts
new file mode 100644
index 0000000000000000000000000000000000000000..0330a1dda1226ef1940b4811daae4c4596ad0fdf
--- /dev/null
+++ b/tools/server/webui/scripts/vite-plugin-llama-cpp-build.ts
@@ -0,0 +1,84 @@
+import { readFileSync, writeFileSync, existsSync, readdirSync, copyFileSync } from 'fs';
+import { resolve } from 'path';
+import type { Plugin } from 'vite';
+
+const GUIDE_FOR_FRONTEND = `
+<!--
+  This is a static build of the frontend.
+  It is automatically generated by the build process.
+  Do not edit this file directly.
+  To make changes, refer to the "Web UI" section in the README.
+-->
+`.trim();
+
+export function llamaCppBuildPlugin(): Plugin {
+	return {
+		name: 'llamacpp:build',
+		apply: 'build',
+		closeBundle() {
+			// Ensure the SvelteKit adapter has finished writing to ../public
+			setTimeout(() => {
+				try {
+					const indexPath = resolve('../public/index.html');
+					if (!existsSync(indexPath)) return;
+
+					let content = readFileSync(indexPath, 'utf-8');
+
+					const faviconPath = resolve('static/favicon.svg');
+
+					if (existsSync(faviconPath)) {
+						const faviconContent = readFileSync(faviconPath, 'utf-8');
+						const faviconBase64 = Buffer.from(faviconContent).toString('base64');
+						const faviconDataUrl = `data:image/svg+xml;base64,${faviconBase64}`;
+
+						content = content.replace(/href="[^"]*favicon\.svg"/g, `href="${faviconDataUrl}"`);
+
+						console.log('✓ Inlined favicon.svg as base64 data URL');
+					}
+
+					content = content.replace(/\r/g, '');
+					content = GUIDE_FOR_FRONTEND + '\n' + content;
+					content = content.replace(/\/_app\/immutable\/bundle\.[^"]+\.js/g, './bundle.js');
+					content = content.replace(
+						/\/_app\/immutable\/assets\/bundle\.[^"]+\.css/g,
+						'./bundle.css'
+					);
+					content = content.replace(/__sveltekit_[a-z0-9]+/g, '__sveltekit__');
+
+					writeFileSync(indexPath, content, 'utf-8');
+					console.log('✓ Updated index.html');
+
+					// Copy bundle.*.js -> ../public/bundle.js
+					const immutableDir = resolve('../public/_app/immutable');
+					const bundleDir = resolve('../public/_app/immutable/assets');
+
+					if (existsSync(immutableDir)) {
+						const jsFiles = readdirSync(immutableDir).filter((f) => f.match(/^bundle\..+\.js$/));
+
+						if (jsFiles.length > 0) {
+							copyFileSync(resolve(immutableDir, jsFiles[0]), resolve('../public/bundle.js'));
+							// Normalize __sveltekit_<hash> to __sveltekit__ in bundle.js
+							const bundleJsPath = resolve('../public/bundle.js');
+							let bundleJs = readFileSync(bundleJsPath, 'utf-8');
+							bundleJs = bundleJs.replace(/__sveltekit_[a-z0-9]+/g, '__sveltekit__');
+							writeFileSync(bundleJsPath, bundleJs, 'utf-8');
+							console.log(`✓ Copied ${jsFiles[0]} -> bundle.js`);
+						}
+					}
+
+					// Copy bundle.*.css -> ../public/bundle.css
+					if (existsSync(bundleDir)) {
+						const cssFiles = readdirSync(bundleDir).filter((f) => f.match(/^bundle\..+\.css$/));
+
+						if (cssFiles.length > 0) {
+							copyFileSync(resolve(bundleDir, cssFiles[0]), resolve('../public/bundle.css'));
+							console.log(`✓ Copied ${cssFiles[0]} -> bundle.css`);
+						}
+					}
+				} catch (error) {
+					console.error('Failed to update index.html:', error);
+				}
+			}, 100);
+		}
+	};
+}
diff --git a/tools/server/webui/src/app.css b/tools/server/webui/src/app.css
index 3ab21f0cc7b69e37ab24356e58b74e35e56745da..2f5c4138ababcb859e57b457eded0bd75dba7c53 100644
--- a/tools/server/webui/src/app.css
+++ b/tools/server/webui/src/app.css
@@ -40,6 +40,17 @@
 	--code-background: oklch(0.985 0 0);
 	--code-foreground: oklch(0.145 0 0);
 	--layer-popover: 1000000;
+
+	--chat-form-area-height: 8rem;
+	--chat-form-area-offset: 2rem;
+	--max-message-height: max(24rem, min(80dvh, calc(100dvh - var(--chat-form-area-height) - 12rem)));
+}
+
+@media (min-width: 640px) {
+	:root {
+		--chat-form-area-height: 24rem;
+		--chat-form-area-offset: 12rem;
+	}
 }
 
 .dark {
@@ -116,19 +127,6 @@
 	--color-sidebar-ring: var(--sidebar-ring);
 }
 
-:root {
-	--chat-form-area-height: 8rem;
-	--chat-form-area-offset: 2rem;
-	--max-message-height: max(24rem, min(80dvh, calc(100dvh - var(--chat-form-area-height) - 12rem)));
-}
-
-@media (min-width: 640px) {
-	:root {
-		--chat-form-area-height: 24rem;
-		--chat-form-area-offset: 12rem;
-	}
-}
-
 @layer base {
 	* {
 		@apply border-border outline-ring/50;
diff --git a/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts b/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts
new file mode 100644
index 0000000000000000000000000000000000000000..5c726b7e4589581aeed9543c313e059e55c5d617
--- /dev/null
+++ b/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts
@@ -0,0 +1,54 @@
+/**
+ * Svelte action that fades in an element when it enters the viewport.
+ * Uses IntersectionObserver for efficient viewport detection.
+ *
+ * If skipIfVisible is set and the element is already visible in the viewport
+ * when the action attaches (e.g. a markdown block promoted from unstable
+ * during streaming), the fade is skipped entirely to avoid a flash.
+ */
+export function fadeInView(
+	node: HTMLElement,
+	options: { duration?: number; y?: number; skipIfVisible?: boolean } = {}
+) {
+	const { duration = 300, y = 0, skipIfVisible = false } = options;
+
+	if (skipIfVisible) {
+		const rect = node.getBoundingClientRect();
+		const isAlreadyVisible =
+			rect.top < window.innerHeight &&
+			rect.bottom > 0 &&
+			rect.left < window.innerWidth &&
+			rect.right > 0;
+
+		if (isAlreadyVisible) {
+			return;
+		}
+	}
+
+	node.style.opacity = '0';
+	node.style.transform = `translateY(${y}px)`;
+	node.style.transition = `opacity ${duration}ms ease-out, transform ${duration}ms ease-out`;
+
+	$effect(() => {
+		const observer = new IntersectionObserver(
+			(entries) => {
+				for (const entry of entries) {
+					if (entry.isIntersecting) {
+						requestAnimationFrame(() => {
+							node.style.opacity = '1';
+							node.style.transform = 'translateY(0)';
+						});
+						observer.disconnect();
+					}
+				}
+			},
+			{ threshold: 0.05 }
+		);
+
+		observer.observe(node);
+
+		return () => {
+			observer.disconnect();
+		};
+	});
+}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
index fea1e82903d3ce37933c31c9ddc33c0a7ea269c9..4a1ab29b720369db45c73d3129cdeecadc032948 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
@@ -294,11 +294,16 @@
 		}
 
 		if (event.key === KeyboardKey.ENTER && !event.shiftKey && !isIMEComposing(event)) {
-			event.preventDefault();
+			const isModifier = event.ctrlKey || event.metaKey;
+			const sendOnEnter = currentConfig.sendOnEnter !== false;
+
+			if (sendOnEnter || isModifier) {
+				event.preventDefault();
 
-			if (!canSubmit || disabled || isLoading || hasLoadingAttachments) return;
+				if (!canSubmit || disabled || isLoading || hasLoadingAttachments) return;
 
-			onSubmit?.();
+				onSubmit?.();
+			}
 		}
 	}
 
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
index b51dd682e053d283c6954437edc9d9b274b09722..54384edfc8e0a855140f1a91912ae18919790a51 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
@@ -10,9 +10,9 @@
 		ModelsSelector,
 		ModelsSelectorSheet
 	} from '$lib/components/app';
-	import { DialogChatSettings } from '$lib/components/app/dialogs';
 	import { SETTINGS_SECTION_TITLES } from '$lib/constants';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { getChatSettingsDialogContext } from '$lib/contexts';
 	import { FileTypeCategory } from '$lib/enums';
 	import { getFileTypeCategory } from '$lib/utils';
 	import { config } from '$lib/stores/settings.svelte';
@@ -62,10 +62,14 @@
 		chatStore.getConversationModel(activeMessages() as DatabaseMessage[])
 	);
 
+	let lastSyncedConversationModel: string | null = null;
+
 	$effect(() => {
-		if (conversationModel) {
+		if (conversationModel && conversationModel !== lastSyncedConversationModel) {
+			lastSyncedConversationModel = conversationModel;
 			modelsStore.selectModelByName(conversationModel);
 		} else if (isRouter && !modelsStore.selectedModelId && modelsStore.loadedModelIds.length > 0) {
+			lastSyncedConversationModel = null;
 			// auto-select the first loaded model only when nothing is selected yet
 			const first = modelOptions().find((m) => modelsStore.loadedModelIds.includes(m.model));
 			if (first) modelsStore.selectModelById(first.id);
@@ -169,7 +173,7 @@
 		selectorModelRef?.open();
 	}
 
-	let showChatSettingsDialogWithMcpSection = $state(false);
+	const chatSettingsDialog = getChatSettingsDialogContext();
 
 	let hasMcpPromptsSupport = $derived.by(() => {
 		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
@@ -197,7 +201,7 @@
 				{onSystemPromptClick}
 				{onMcpPromptClick}
 				{onMcpResourcesClick}
-				onMcpSettingsClick={() => (showChatSettingsDialogWithMcpSection = true)}
+				onMcpSettingsClick={() => chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}
 			/>
 		{:else}
 			<ChatFormActionAttachmentsDropdown
@@ -210,13 +214,13 @@
 				{onSystemPromptClick}
 				{onMcpPromptClick}
 				{onMcpResourcesClick}
-				onMcpSettingsClick={() => (showChatSettingsDialogWithMcpSection = true)}
+				onMcpSettingsClick={() => chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}
 			/>
 		{/if}
 
 		<McpServersSelector
 			{disabled}
-			onSettingsClick={() => (showChatSettingsDialogWithMcpSection = true)}
+			onSettingsClick={() => chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}
 		/>
 	</div>
 
@@ -265,9 +269,3 @@
 		/>
 	{/if}
 </div>
-
-<DialogChatSettings
-	open={showChatSettingsDialogWithMcpSection}
-	onOpenChange={(open) => (showChatSettingsDialogWithMcpSection = open)}
-	initialSection={SETTINGS_SECTION_TITLES.MCP}
-/>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
index a8f1f76c7cf5924f89b8bc5d4f55645d60951135..6e7c755ed2b72f95169e675ab77114faa84292b1 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
@@ -1,17 +1,31 @@
 <script lang="ts">
+	import { browser } from '$app/environment';
+	import { config } from '$lib/stores/settings.svelte';
+
 	interface Props {
 		class?: string;
 		show?: boolean;
 	}
 
 	let { class: className = '', show = true }: Props = $props();
+
+	let sendOnEnter = $derived(config().sendOnEnter !== false);
+	let modKey = browser && /Mac|iPhone|iPad|iPod/.test(navigator.platform) ? 'Cmd' : 'Ctrl';
 </script>
 
 {#if show}
 	<div class="mt-6 items-center justify-center {className} hidden md:flex">
-		<p class="text-xs text-muted-foreground">
-			Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Enter</kbd> to send,
-			<kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Shift + Enter</kbd> for new line
-		</p>
+		{#if sendOnEnter}
+			<p class="text-xs text-muted-foreground">
+				Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Enter</kbd> to send,
+				<kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Shift + Enter</kbd> for new line
+			</p>
+		{:else}
+			<p class="text-xs text-muted-foreground">
+				Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">{modKey} + Enter</kbd> to
+				send,
+				<kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Enter</kbd> for new line
+			</p>
+		{/if}
 	</div>
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
index f0855b9dbe5df32b492160175a67a732f3277458..86c182acdbd2ca8ef4b05908cf90e4075cdfdbc4 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
@@ -26,6 +26,7 @@
 
 	onMount(() => {
 		if (textareaElement) {
+			autoResizeTextarea(textareaElement);
 			textareaElement.focus();
 		}
 	});
@@ -50,8 +51,9 @@
 	<textarea
 		bind:this={textareaElement}
 		bind:value
-		class="text-md max-h-32 min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0"
+		class="text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0"
 		class:cursor-not-allowed={disabled}
+		style="max-height: var(--max-message-height);"
 		{disabled}
 		onkeydown={onKeydown}
 		oninput={(event) => {
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
index 52a9355104a60dc1b34d2e3281b9a403b17ffbf4..deb393a4b30b784de3aad09391d32ba484ee386e 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
@@ -4,7 +4,7 @@
 	import { getChatActionsContext, setMessageEditContext } from '$lib/contexts';
 	import { chatStore, pendingEditMessageId } from '$lib/stores/chat.svelte';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { DatabaseService } from '$lib/services';
+	import { DatabaseService } from '$lib/services/database.service';
 	import { SYSTEM_MESSAGE_PLACEHOLDER } from '$lib/constants';
 	import { MessageRole, AttachmentType } from '$lib/enums';
 	import {
@@ -19,6 +19,7 @@
 	interface Props {
 		class?: string;
 		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		isLastAssistantMessage?: boolean;
 		siblingInfo?: ChatMessageSiblingInfo | null;
 	}
@@ -26,6 +27,7 @@
 	let {
 		class: className = '',
 		message,
+		toolMessages = [],
 		isLastAssistantMessage = false,
 		siblingInfo = null
 	}: Props = $props();
@@ -180,6 +182,10 @@
 		chatActions.continueAssistantMessage(message);
 	}
 
+	function handleForkConversation(options: { name: string; includeAttachments: boolean }) {
+		chatActions.forkConversation(message, options);
+	}
+
 	function handleNavigateToSibling(siblingId: string) {
 		chatActions.navigateToSibling(siblingId);
 	}
@@ -285,6 +291,7 @@
 		onCopy={handleCopy}
 		onDelete={handleDelete}
 		onEdit={handleEdit}
+		onForkConversation={handleForkConversation}
 		onNavigateToSibling={handleNavigateToSibling}
 		onShowDeleteDialogChange={handleShowDeleteDialogChange}
 		{showDeleteDialog}
@@ -297,12 +304,14 @@
 		{deletionInfo}
 		{isLastAssistantMessage}
 		{message}
+		{toolMessages}
 		messageContent={message.content}
 		onConfirmDelete={handleConfirmDelete}
 		onContinue={handleContinue}
 		onCopy={handleCopy}
 		onDelete={handleDelete}
 		onEdit={handleEdit}
+		onForkConversation={handleForkConversation}
 		onNavigateToSibling={handleNavigateToSibling}
 		onRegenerate={handleRegenerate}
 		onShowDeleteDialogChange={handleShowDeleteDialogChange}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
index 97b34e92cc97e9926a629fd32e3c3cc3e553e232..fec1a506eb8f77229b762a59dcde1306f94294b9 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
@@ -1,12 +1,16 @@
 <script lang="ts">
-	import { Edit, Copy, RefreshCw, Trash2, ArrowRight } from '@lucide/svelte';
+	import { Edit, Copy, RefreshCw, Trash2, ArrowRight, GitBranch } from '@lucide/svelte';
 	import {
 		ActionIcon,
 		ChatMessageBranchingControls,
 		DialogConfirmation
 	} from '$lib/components/app';
 	import { Switch } from '$lib/components/ui/switch';
+	import { Checkbox } from '$lib/components/ui/checkbox';
+	import Input from '$lib/components/ui/input/input.svelte';
+	import Label from '$lib/components/ui/label/label.svelte';
 	import { MessageRole } from '$lib/enums';
+	import { activeConversation } from '$lib/stores/conversations.svelte';
 
 	interface Props {
 		role: MessageRole.USER | MessageRole.ASSISTANT;
@@ -24,6 +28,7 @@
 		onEdit?: () => void;
 		onRegenerate?: () => void;
 		onContinue?: () => void;
+		onForkConversation?: (options: { name: string; includeAttachments: boolean }) => void;
 		onDelete: () => void;
 		onConfirmDelete: () => void;
 		onNavigateToSibling?: (siblingId: string) => void;
@@ -42,6 +47,7 @@
 		onConfirmDelete,
 		onContinue,
 		onDelete,
+		onForkConversation,
 		onNavigateToSibling,
 		onShowDeleteDialogChange,
 		onRegenerate,
@@ -53,10 +59,27 @@
 		onRawOutputToggle
 	}: Props = $props();
 
+	let showForkDialog = $state(false);
+	let forkName = $state('');
+	let forkIncludeAttachments = $state(true);
+
 	function handleConfirmDelete() {
 		onConfirmDelete();
 		onShowDeleteDialogChange(false);
 	}
+
+	function handleOpenForkDialog() {
+		const conv = activeConversation();
+
+		forkName = `Fork of ${conv?.name ?? 'Conversation'}`;
+		forkIncludeAttachments = true;
+		showForkDialog = true;
+	}
+
+	function handleConfirmFork() {
+		onForkConversation?.({ name: forkName.trim(), includeAttachments: forkIncludeAttachments });
+		showForkDialog = false;
+	}
 </script>
 
 <div class="relative {justify === 'start' ? 'mt-2' : ''} flex h-6 items-center justify-between">
@@ -86,6 +109,10 @@
 				<ActionIcon icon={ArrowRight} tooltip="Continue" onclick={onContinue} />
 			{/if}
 
+			{#if onForkConversation}
+				<ActionIcon icon={GitBranch} tooltip="Fork conversation" onclick={handleOpenForkDialog} />
+			{/if}
+
 			<ActionIcon icon={Trash2} tooltip="Delete" onclick={onDelete} />
 		</div>
 	</div>
@@ -116,3 +143,42 @@
 	onConfirm={handleConfirmDelete}
 	onCancel={() => onShowDeleteDialogChange(false)}
 />
+
+<DialogConfirmation
+	bind:open={showForkDialog}
+	title="Fork Conversation"
+	description="Create a new conversation branching from this message."
+	confirmText="Fork"
+	cancelText="Cancel"
+	icon={GitBranch}
+	onConfirm={handleConfirmFork}
+	onCancel={() => (showForkDialog = false)}
+>
+	<div class="flex flex-col gap-4 py-2">
+		<div class="flex flex-col gap-2">
+			<Label for="fork-name">Title</Label>
+
+			<Input
+				id="fork-name"
+				class="text-foreground"
+				placeholder="Enter fork name"
+				type="text"
+				bind:value={forkName}
+			/>
+		</div>
+
+		<div class="flex items-center gap-2">
+			<Checkbox
+				id="fork-attachments"
+				checked={forkIncludeAttachments}
+				onCheckedChange={(checked) => {
+					forkIncludeAttachments = checked === true;
+				}}
+			/>
+
+			<Label for="fork-attachments" class="cursor-pointer text-sm font-normal">
+				Include all attachments
+			</Label>
+		</div>
+	</div>
+</DialogConfirmation>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
index 5977f1c8f1e82f148eaef9b508362c8fa13a3439..cdc0cef8c59e6ae05ad3333877124a8efdaa8fdd 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
@@ -6,42 +6,42 @@
 		SyntaxHighlightedCode
 	} from '$lib/components/app';
 	import { config } from '$lib/stores/settings.svelte';
-	import { Wrench, Loader2, AlertTriangle, Brain } from '@lucide/svelte';
-	import { AgenticSectionType, AttachmentType, FileTypeText } from '$lib/enums';
+	import { Wrench, Loader2, Brain } from '@lucide/svelte';
+	import { AgenticSectionType, FileTypeText } from '$lib/enums';
 	import { formatJsonPretty } from '$lib/utils';
-	import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
-	import { parseAgenticContent, type AgenticSection } from '$lib/utils';
-	import type { DatabaseMessage, DatabaseMessageExtraImageFile } from '$lib/types/database';
+	import {
+		deriveAgenticSections,
+		parseToolResultWithImages,
+		type AgenticSection,
+		type ToolResultLine
+	} from '$lib/utils';
+	import type { DatabaseMessage } from '$lib/types/database';
 	import type { ChatMessageAgenticTimings, ChatMessageAgenticTurnStats } from '$lib/types/chat';
 	import { ChatMessageStatsView } from '$lib/enums';
 
 	interface Props {
-		message?: DatabaseMessage;
-		content: string;
+		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		isStreaming?: boolean;
 		highlightTurns?: boolean;
 	}
 
-	type ToolResultLine = {
-		text: string;
-		image?: DatabaseMessageExtraImageFile;
-	};
-
-	let { content, message, isStreaming = false, highlightTurns = false }: Props = $props();
+	let { message, toolMessages = [], isStreaming = false, highlightTurns = false }: Props = $props();
 
 	let expandedStates: Record<number, boolean> = $state({});
 
-	const sections = $derived(parseAgenticContent(content));
 	const showToolCallInProgress = $derived(config().showToolCallInProgress as boolean);
 	const showThoughtInProgress = $derived(config().showThoughtInProgress as boolean);
 
-	// Parse toolResults with images only when sections or message.extra change
+	const sections = $derived(deriveAgenticSections(message, toolMessages, [], isStreaming));
+
+	// Parse tool results with images
 	const sectionsParsed = $derived(
 		sections.map((section) => ({
 			...section,
 			parsedLines: section.toolResult
-				? parseToolResultWithImages(section.toolResult, message?.extra)
-				: []
+				? parseToolResultWithImages(section.toolResult, section.toolResultExtras || message?.extra)
+				: ([] as ToolResultLine[])
 		}))
 	);
 
@@ -107,26 +107,6 @@
 		expandedStates[index] = !currentState;
 	}
 
-	function parseToolResultWithImages(
-		toolResult: string,
-		extras?: DatabaseMessage['extra']
-	): ToolResultLine[] {
-		const lines = toolResult.split(NEWLINE_SEPARATOR);
-
-		return lines.map((line) => {
-			const match = line.match(ATTACHMENT_SAVED_REGEX);
-			if (!match || !extras) return { text: line };
-
-			const attachmentName = match[1];
-			const image = extras.find(
-				(e): e is DatabaseMessageExtraImageFile =>
-					e.type === AttachmentType.IMAGE && e.name === attachmentName
-			);
-
-			return { text: line, image };
-		});
-	}
-
 	function buildTurnAgenticTimings(stats: ChatMessageAgenticTurnStats): ChatMessageAgenticTimings {
 		return {
 			turns: 1,
@@ -144,9 +124,8 @@
 			<MarkdownContent content={section.content} attachments={message?.extra} />
 		</div>
 	{:else if section.type === AgenticSectionType.TOOL_CALL_STREAMING}
-		{@const streamingIcon = isStreaming ? Loader2 : AlertTriangle}
-		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4 text-yellow-500'}
-		{@const streamingSubtitle = isStreaming ? '' : 'incomplete'}
+		{@const streamingIcon = isStreaming ? Loader2 : Loader2}
+		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4'}
 
 		<CollapsibleContentBlock
 			open={isExpanded(index, section)}
@@ -154,7 +133,7 @@
 			icon={streamingIcon}
 			iconClass={streamingIconClass}
 			title={section.toolName || 'Tool call'}
-			subtitle={streamingSubtitle}
+			subtitle={isStreaming ? '' : 'incomplete'}
 			{isStreaming}
 			onToggle={() => toggleExpanded(index, section)}
 		>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
index 553c3fd946920e24d3bb531ba5579de4c421c9cb..7030ca88508dfe908bc18bf6cc6734ec21cb84ba 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
@@ -3,21 +3,26 @@
 		ChatMessageAgenticContent,
 		ChatMessageActions,
 		ChatMessageStatistics,
-		MarkdownContent,
 		ModelBadge,
 		ModelsSelector
 	} from '$lib/components/app';
 	import { getMessageEditContext } from '$lib/contexts';
 	import { useProcessingState } from '$lib/hooks/use-processing-state.svelte';
 	import { isLoading, isChatStreaming } from '$lib/stores/chat.svelte';
-	import { agenticStreamingToolCall } from '$lib/stores/agentic.svelte';
-	import { autoResizeTextarea, copyToClipboard, isIMEComposing } from '$lib/utils';
+	import {
+		autoResizeTextarea,
+		copyToClipboard,
+		isIMEComposing,
+		deriveAgenticSections
+	} from '$lib/utils';
+	import { AgenticSectionType } from '$lib/enums';
+	import { REASONING_TAGS } from '$lib/constants/agentic';
 	import { tick } from 'svelte';
 	import { fade } from 'svelte/transition';
 	import { Check, X } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import { Checkbox } from '$lib/components/ui/checkbox';
-	import { AGENTIC_TAGS, INPUT_CLASSES, REASONING_TAGS } from '$lib/constants';
+	import { INPUT_CLASSES } from '$lib/constants';
 	import { MessageRole, KeyboardKey, ChatMessageStatsView } from '$lib/enums';
 	import Label from '$lib/components/ui/label/label.svelte';
 	import { config } from '$lib/stores/settings.svelte';
@@ -25,6 +30,8 @@
 	import { modelsStore } from '$lib/stores/models.svelte';
 	import { ServerModelStatus } from '$lib/enums';
 
+	import { hasAgenticContent } from '$lib/utils';
+
 	interface Props {
 		class?: string;
 		deletionInfo: {
@@ -35,12 +42,14 @@
 		} | null;
 		isLastAssistantMessage?: boolean;
 		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		messageContent: string | undefined;
 		onCopy: () => void;
 		onConfirmDelete: () => void;
 		onContinue?: () => void;
 		onDelete: () => void;
 		onEdit?: () => void;
+		onForkConversation?: (options: { name: string; includeAttachments: boolean }) => void;
 		onNavigateToSibling?: (siblingId: string) => void;
 		onRegenerate: (modelOverride?: string) => void;
 		onShowDeleteDialogChange: (show: boolean) => void;
@@ -54,12 +63,14 @@
 		deletionInfo,
 		isLastAssistantMessage = false,
 		message,
+		toolMessages = [],
 		messageContent,
 		onConfirmDelete,
 		onContinue,
 		onCopy,
 		onDelete,
 		onEdit,
+		onForkConversation,
 		onNavigateToSibling,
 		onRegenerate,
 		onShowDeleteDialogChange,
@@ -84,21 +95,56 @@
 		}
 	}
 
-	const hasAgenticMarkers = $derived(
-		messageContent?.includes(AGENTIC_TAGS.TOOL_CALL_START) ?? false
-	);
-	const hasStreamingToolCall = $derived(
-		isChatStreaming() && agenticStreamingToolCall(message.convId) !== null
-	);
-	const hasReasoningMarkers = $derived(messageContent?.includes(REASONING_TAGS.START) ?? false);
-	const isStructuredContent = $derived(
-		hasAgenticMarkers || hasReasoningMarkers || hasStreamingToolCall
-	);
+	const isAgentic = $derived(hasAgenticContent(message, toolMessages));
+	const hasReasoning = $derived(!!message.reasoningContent);
 	const processingState = useProcessingState();
 
 	let currentConfig = $derived(config());
 	let isRouter = $derived(isRouterMode());
 	let showRawOutput = $state(false);
+
+	let rawOutputContent = $derived.by(() => {
+		const sections = deriveAgenticSections(message, toolMessages, [], false);
+		const parts: string[] = [];
+
+		for (const section of sections) {
+			switch (section.type) {
+				case AgenticSectionType.REASONING:
+				case AgenticSectionType.REASONING_PENDING:
+					parts.push(`${REASONING_TAGS.START}\n${section.content}\n${REASONING_TAGS.END}`);
+					break;
+
+				case AgenticSectionType.TEXT:
+					parts.push(section.content);
+					break;
+
+				case AgenticSectionType.TOOL_CALL:
+				case AgenticSectionType.TOOL_CALL_PENDING:
+				case AgenticSectionType.TOOL_CALL_STREAMING: {
+					const callObj: Record<string, unknown> = { name: section.toolName };
+
+					if (section.toolArgs) {
+						try {
+							callObj.arguments = JSON.parse(section.toolArgs);
+						} catch {
+							callObj.arguments = section.toolArgs;
+						}
+					}
+
+					parts.push(JSON.stringify(callObj, null, 2));
+
+					if (section.toolResult) {
+						parts.push(`[Tool Result]\n${section.toolResult}`);
+					}
+
+					break;
+				}
+			}
+		}
+
+		return parts.join('\n\n\n');
+	});
+
 	let activeStatsView = $state<ChatMessageStatsView>(ChatMessageStatsView.GENERATION);
 	let statsContainerEl: HTMLDivElement | undefined = $state();
 
@@ -151,7 +197,7 @@
 	}
 
 	let highlightAgenticTurns = $derived(
-		hasAgenticMarkers &&
+		isAgentic &&
 			(currentConfig.alwaysShowAgenticTurns || activeStatsView === ChatMessageStatsView.SUMMARY)
 	);
 
@@ -166,13 +212,14 @@
 		message?.role === MessageRole.ASSISTANT &&
 			isActivelyProcessing &&
 			hasNoContent &&
+			!isAgentic &&
 			isLastAssistantMessage
 	);
 
 	let showProcessingInfoBottom = $derived(
 		message?.role === MessageRole.ASSISTANT &&
 			isActivelyProcessing &&
-			!hasNoContent &&
+			(!hasNoContent || isAgentic) &&
 			isLastAssistantMessage
 	);
 
@@ -255,16 +302,14 @@
 		</div>
 	{:else if message.role === MessageRole.ASSISTANT}
 		{#if showRawOutput}
-			<pre class="raw-output">{messageContent || ''}</pre>
-		{:else if isStructuredContent}
+			<pre class="raw-output">{rawOutputContent || ''}</pre>
+		{:else}
 			<ChatMessageAgenticContent
-				content={messageContent || ''}
+				{message}
+				{toolMessages}
 				isStreaming={isChatStreaming()}
 				highlightTurns={highlightAgenticTurns}
-				{message}
 			/>
-		{:else}
-			<MarkdownContent content={messageContent || ''} attachments={message.extra} />
 		{/if}
 	{:else}
 		<div class="text-sm whitespace-pre-wrap">
@@ -352,9 +397,8 @@
 			{onCopy}
 			{onEdit}
 			{onRegenerate}
-			onContinue={currentConfig.enableContinueGeneration && !hasReasoningMarkers
-				? onContinue
-				: undefined}
+			onContinue={currentConfig.enableContinueGeneration && !hasReasoning ? onContinue : undefined}
+			{onForkConversation}
 			{onDelete}
 			{onConfirmDelete}
 			{onNavigateToSibling}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
index 9b9d9a3e993bba3ddbfcc9b2b9db208cf2780288..f2f6288d68d4eee53f71226dac81984fab4c975f 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
@@ -21,6 +21,7 @@
 		onEdit: () => void;
 		onDelete: () => void;
 		onConfirmDelete: () => void;
+		onForkConversation?: (options: { name: string; includeAttachments: boolean }) => void;
 		onShowDeleteDialogChange: (show: boolean) => void;
 		onNavigateToSibling?: (siblingId: string) => void;
 		onCopy: () => void;
@@ -35,6 +36,7 @@
 		onEdit,
 		onDelete,
 		onConfirmDelete,
+		onForkConversation,
 		onShowDeleteDialogChange,
 		onNavigateToSibling,
 		onCopy
@@ -114,6 +116,7 @@
 					{onCopy}
 					{onDelete}
 					{onEdit}
+					{onForkConversation}
 					{onNavigateToSibling}
 					{onShowDeleteDialogChange}
 					{siblingInfo}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
index 23143c955cae1d83d6515d22c405799b93fe5b4d..6d16b4698599422f456de1017883e453d7d28a03 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
@@ -1,11 +1,17 @@
 <script lang="ts">
+	import { fadeInView } from '$lib/actions/fade-in-view.svelte';
 	import { ChatMessage } from '$lib/components/app';
 	import { setChatActionsContext } from '$lib/contexts';
 	import { MessageRole } from '$lib/enums';
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { conversationsStore, activeConversation } from '$lib/stores/conversations.svelte';
 	import { config } from '$lib/stores/settings.svelte';
-	import { copyToClipboard, formatMessageForClipboard, getMessageSiblings } from '$lib/utils';
+	import {
+		copyToClipboard,
+		formatMessageForClipboard,
+		getMessageSiblings,
+		hasAgenticContent
+	} from '$lib/utils';
 
 	interface Props {
 		class?: string;
@@ -78,6 +84,13 @@
 			onUserAction?.();
 			await chatStore.continueAssistantMessage(message.id);
 			refreshAllMessages();
+		},
+
+		forkConversation: async (
+			message: DatabaseMessage,
+			options: { name: string; includeAttachments: boolean }
+		) => {
+			await conversationsStore.forkConversation(message.id, options);
 		}
 	});
 
@@ -111,42 +124,91 @@
 			? messages
 			: messages.filter((msg) => msg.type !== MessageRole.SYSTEM);
 
-		let lastAssistantIndex = -1;
+		// Build display entries, grouping agentic sessions into single entries.
+		// An agentic session = assistant(with tool_calls) → tool → assistant → tool → ... → assistant(final)
+		const result: Array<{
+			message: DatabaseMessage;
+			toolMessages: DatabaseMessage[];
+			isLastAssistantMessage: boolean;
+			siblingInfo: ChatMessageSiblingInfo;
+		}> = [];
 
-		for (let i = filteredMessages.length - 1; i >= 0; i--) {
-			if (filteredMessages[i].role === MessageRole.ASSISTANT) {
-				lastAssistantIndex = i;
+		for (let i = 0; i < filteredMessages.length; i++) {
+			const msg = filteredMessages[i];
 
-				break;
+			// Skip tool messages - they're grouped with preceding assistant
+			if (msg.role === MessageRole.TOOL) continue;
+
+			const toolMessages: DatabaseMessage[] = [];
+			if (msg.role === MessageRole.ASSISTANT && hasAgenticContent(msg)) {
+				let j = i + 1;
+
+				while (j < filteredMessages.length) {
+					const next = filteredMessages[j];
+
+					if (next.role === MessageRole.TOOL) {
+						toolMessages.push(next);
+
+						j++;
+					} else if (next.role === MessageRole.ASSISTANT) {
+						toolMessages.push(next);
+
+						j++;
+					} else {
+						break;
+					}
+				}
+
+				i = j - 1;
+			} else if (msg.role === MessageRole.ASSISTANT) {
+				let j = i + 1;
+
+				while (j < filteredMessages.length && filteredMessages[j].role === MessageRole.TOOL) {
+					toolMessages.push(filteredMessages[j]);
+					j++;
+				}
 			}
-		}
 
-		return filteredMessages.map((message, index) => {
-			const siblingInfo = getMessageSiblings(allConversationMessages, message.id);
-			const isLastAssistantMessage =
-				message.role === MessageRole.ASSISTANT && index === lastAssistantIndex;
+			const siblingInfo = getMessageSiblings(allConversationMessages, msg.id);
 
-			return {
-				message,
-				isLastAssistantMessage,
+			result.push({
+				message: msg,
+				toolMessages,
+				isLastAssistantMessage: false,
 				siblingInfo: siblingInfo || {
-					message,
-					siblingIds: [message.id],
+					message: msg,
+					siblingIds: [msg.id],
 					currentIndex: 0,
 					totalSiblings: 1
 				}
-			};
-		});
+			});
+		}
+
+		// Mark the last assistant message
+		for (let i = result.length - 1; i >= 0; i--) {
+			if (result[i].message.role === MessageRole.ASSISTANT) {
+				result[i].isLastAssistantMessage = true;
+				break;
+			}
+		}
+
+		return result;
 	});
 </script>
 
-<div class="flex h-full flex-col space-y-10 pt-24 {className}" style="height: auto; ">
-	{#each displayMessages as { message, isLastAssistantMessage, siblingInfo } (message.id)}
-		<ChatMessage
-			class="mx-auto w-full max-w-[48rem]"
-			{message}
-			{isLastAssistantMessage}
-			{siblingInfo}
-		/>
+<div
+	class="flex h-full flex-col space-y-10 pt-24 {className}"
+	style="height: auto; min-height: calc(100dvh - 14rem);"
+>
+	{#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)}
+		<div use:fadeInView>
+			<ChatMessage
+				class="mx-auto w-full max-w-[48rem]"
+				{message}
+				{toolMessages}
+				{isLastAssistantMessage}
+				{siblingInfo}
+			/>
+		</div>
 	{/each}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
index 1e0c801b6d7a8da600c501cfa3cf8b77a13d4293..290a277a53d30d6c5aee43ef366aa08376b0bff5 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
@@ -12,7 +12,6 @@
 	} from '$lib/components/app';
 	import * as Alert from '$lib/components/ui/alert';
 	import * as AlertDialog from '$lib/components/ui/alert-dialog';
-	import { INITIAL_SCROLL_DELAY } from '$lib/constants';
 	import { KeyboardKey } from '$lib/enums';
 	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
 	import {
@@ -48,7 +47,7 @@
 	let showFileErrorDialog = $state(false);
 	let uploadedFiles = $state<ChatUploadedFile[]>([]);
 
-	const autoScroll = createAutoScrollController();
+	const autoScroll = createAutoScrollController({ isColumnReverse: true });
 
 	let fileErrorData = $state<{
 		generallyUnsupported: File[];
@@ -310,13 +309,15 @@
 
 	afterNavigate(() => {
 		if (!disableAutoScroll) {
-			setTimeout(() => autoScroll.scrollToBottom('instant'), INITIAL_SCROLL_DELAY);
+			autoScroll.enable();
 		}
 	});
 
 	onMount(() => {
+		autoScroll.startObserving();
+
 		if (!disableAutoScroll) {
-			setTimeout(() => autoScroll.scrollToBottom('instant'), INITIAL_SCROLL_DELAY);
+			autoScroll.enable();
 		}
 
 		const pendingDraft = chatStore.consumePendingDraft();
@@ -333,10 +334,6 @@
 	$effect(() => {
 		autoScroll.setDisabled(disableAutoScroll);
 	});
-
-	$effect(() => {
-		autoScroll.updateInterval(isCurrentConversationLoading);
-	});
 </script>
 
 {#if isDragOver}
@@ -351,7 +348,7 @@
 	<div
 		bind:this={chatScrollContainer}
 		aria-label="Chat interface with file drop zone"
-		class="flex h-full flex-col overflow-y-auto px-4 md:px-6"
+		class="flex h-full flex-col-reverse overflow-y-auto px-4 md:px-6"
 		ondragenter={handleDragEnter}
 		ondragleave={handleDragLeave}
 		ondragover={handleDragOver}
@@ -359,57 +356,59 @@
 		onscroll={handleScroll}
 		role="main"
 	>
-		<ChatMessages
-			class="mb-16 md:mb-24"
-			messages={activeMessages()}
-			onUserAction={() => {
-				autoScroll.enable();
-				autoScroll.scrollToBottom();
-			}}
-		/>
-
-		<div
-			class="pointer-events-none sticky right-0 bottom-0 left-0 mt-auto"
-			in:slide={{ duration: 150, axis: 'y' }}
-		>
-			<ChatScreenProcessingInfo />
+		<div class="flex flex-col">
+			<ChatMessages
+				class="mb-16 md:mb-24"
+				messages={activeMessages()}
+				onUserAction={() => {
+					autoScroll.enable();
+					autoScroll.scrollToBottom();
+				}}
+			/>
+
+			<div
+				class="pointer-events-none sticky right-0 bottom-4 left-0 mt-auto"
+				in:slide={{ duration: 150, axis: 'y' }}
+			>
+				<ChatScreenProcessingInfo />
+
+				{#if hasPropsError}
+					<div
+						class="pointer-events-auto mx-auto mb-4 max-w-[48rem] px-1"
+						in:fly={{ y: 10, duration: 250 }}
+					>
+						<Alert.Root variant="destructive">
+							<AlertTriangle class="h-4 w-4" />
+							<Alert.Title class="flex items-center justify-between">
+								<span>Server unavailable</span>
+								<button
+									onclick={() => serverStore.fetch()}
+									disabled={isServerLoading}
+									class="flex items-center gap-1.5 rounded-lg bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50"
+								>
+									<RefreshCw class="h-3 w-3 {isServerLoading ? 'animate-spin' : ''}" />
+									{isServerLoading ? 'Retrying...' : 'Retry'}
+								</button>
+							</Alert.Title>
+							<Alert.Description>{serverError()}</Alert.Description>
+						</Alert.Root>
+					</div>
+				{/if}
 
-			{#if hasPropsError}
-				<div
-					class="pointer-events-auto mx-auto mb-4 max-w-[48rem] px-1"
-					in:fly={{ y: 10, duration: 250 }}
-				>
-					<Alert.Root variant="destructive">
-						<AlertTriangle class="h-4 w-4" />
-						<Alert.Title class="flex items-center justify-between">
-							<span>Server unavailable</span>
-							<button
-								onclick={() => serverStore.fetch()}
-								disabled={isServerLoading}
-								class="flex items-center gap-1.5 rounded-lg bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50"
-							>
-								<RefreshCw class="h-3 w-3 {isServerLoading ? 'animate-spin' : ''}" />
-								{isServerLoading ? 'Retrying...' : 'Retry'}
-							</button>
-						</Alert.Title>
-						<Alert.Description>{serverError()}</Alert.Description>
-					</Alert.Root>
+				<div class="conversation-chat-form pointer-events-auto rounded-t-3xl">
+					<ChatScreenForm
+						disabled={hasPropsError || isEditing()}
+						{initialMessage}
+						isLoading={isCurrentConversationLoading}
+						onFileRemove={handleFileRemove}
+						onFileUpload={handleFileUpload}
+						onSend={handleSendMessage}
+						onStop={() => chatStore.stopGeneration()}
+						onSystemPromptAdd={handleSystemPromptAdd}
+						showHelperText={false}
+						bind:uploadedFiles
+					/>
 				</div>
-			{/if}
-
-			<div class="conversation-chat-form pointer-events-auto rounded-t-3xl pb-4">
-				<ChatScreenForm
-					disabled={hasPropsError || isEditing()}
-					{initialMessage}
-					isLoading={isCurrentConversationLoading}
-					onFileRemove={handleFileRemove}
-					onFileUpload={handleFileUpload}
-					onSend={handleSendMessage}
-					onStop={() => chatStore.stopGeneration()}
-					onSystemPromptAdd={handleSystemPromptAdd}
-					showHelperText={false}
-					bind:uploadedFiles
-				/>
 			</div>
 		</div>
 	</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
index 2730d5e738d7fe118dcb1e90ef0c29b6c9070954..0a920be6fa20e3d7b8084492fb2821dff506dc92 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
@@ -1,16 +1,11 @@
 <script lang="ts">
 	import { Settings } from '@lucide/svelte';
-	import { DialogChatSettings } from '$lib/components/app';
 	import { Button } from '$lib/components/ui/button';
 	import { useSidebar } from '$lib/components/ui/sidebar';
+	import { getChatSettingsDialogContext } from '$lib/contexts';
 
 	const sidebar = useSidebar();
-
-	let settingsOpen = $state(false);
-
-	function toggleSettings() {
-		settingsOpen = true;
-	}
+	const chatSettingsDialog = getChatSettingsDialogContext();
 </script>
 
 <header
@@ -22,12 +17,10 @@
 		<Button
 			variant="ghost"
 			size="icon-lg"
-			onclick={toggleSettings}
+			onclick={() => chatSettingsDialog.open()}
 			class="rounded-full backdrop-blur-lg"
 		>
 			<Settings class="h-4 w-4" />
 		</Button>
 	</div>
 </header>
-
-<DialogChatSettings open={settingsOpen} onOpenChange={(open) => (settingsOpen = open)} />
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
index 44d59e2b3602fee2a4e1eafb7fddf067c0aec650..e12bf8f2fe46cbdafd75143d8625bbcd260ef78c 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
@@ -64,6 +64,11 @@
 					label: 'Paste long text to file length',
 					type: SettingsFieldType.INPUT
 				},
+				{
+					key: SETTINGS_KEYS.SEND_ON_ENTER,
+					label: 'Send message on Enter',
+					type: SettingsFieldType.CHECKBOX
+				},
 				{
 					key: SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,
 					label: 'Copy text attachments as plain text',
@@ -84,6 +89,11 @@
 					key: SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,
 					label: 'Ask for confirmation before changing conversation title',
 					type: SettingsFieldType.CHECKBOX
+				},
+				{
+					key: SETTINGS_KEYS.TITLE_GENERATION_USE_FIRST_LINE,
+					label: 'Use first non-empty line for conversation title',
+					type: SettingsFieldType.CHECKBOX
 				}
 			]
 		},
@@ -291,9 +301,19 @@
 			title: SETTINGS_SECTION_TITLES.DEVELOPER,
 			icon: Code,
 			fields: [
+				{
+					key: SETTINGS_KEYS.PRE_ENCODE_CONVERSATION,
+					label: 'Pre-fill KV cache after response',
+					type: SettingsFieldType.CHECKBOX
+				},
 				{
 					key: SETTINGS_KEYS.DISABLE_REASONING_PARSING,
-					label: 'Disable reasoning content parsing',
+					label: 'Disable server-side thinking extraction',
+					type: SettingsFieldType.CHECKBOX
+				},
+				{
+					key: SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,
+					label: 'Strip thinking from message history',
 					type: SettingsFieldType.CHECKBOX
 				},
 				{
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
index b9015c196c1068dbb9e8de9e75f1e3257d44e604..42191be89fe8d2b76117725a57f5284dad102263 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
@@ -5,9 +5,12 @@
 	import Label from '$lib/components/ui/label/label.svelte';
 	import * as Select from '$lib/components/ui/select';
 	import { Textarea } from '$lib/components/ui/textarea';
-	import { SETTING_CONFIG_DEFAULT, SETTING_CONFIG_INFO, SETTINGS_KEYS } from '$lib/constants';
+	import { SETTING_CONFIG_INFO, SETTINGS_KEYS } from '$lib/constants';
 	import { SettingsFieldType } from '$lib/enums/settings';
 	import { settingsStore } from '$lib/stores/settings.svelte';
+	import { serverStore } from '$lib/stores/server.svelte';
+	import { modelsStore, selectedModelName } from '$lib/stores/models.svelte';
+	import { normalizeFloatingPoint } from '$lib/utils/precision';
 	import { ChatSettingsParameterSourceIndicator } from '$lib/components/app';
 	import type { Component } from 'svelte';
 
@@ -20,35 +23,36 @@
 
 	let { fields, localConfig, onConfigChange, onThemeChange }: Props = $props();
 
-	// Helper function to get parameter source info for syncable parameters
-	function getParameterSourceInfo(key: string) {
-		if (!settingsStore.canSyncParameter(key)) {
-			return null;
+	// server sampling defaults for placeholders
+	let sp = $derived.by(() => {
+		if (serverStore.isRouterMode) {
+			const m = selectedModelName();
+			if (m) {
+				const p = modelsStore.getModelProps(m);
+				return (p?.default_generation_settings?.params ?? {}) as Record<string, unknown>;
+			}
 		}
-
-		return settingsStore.getParameterInfo(key);
-	}
+		return (serverStore.defaultParams ?? {}) as Record<string, unknown>;
+	});
 </script>
 
 {#each fields as field (field.key)}
 	<div class="space-y-2">
 		{#if field.type === SettingsFieldType.INPUT}
-			{@const paramInfo = getParameterSourceInfo(field.key)}
 			{@const currentValue = String(localConfig[field.key] ?? '')}
-			{@const propsDefault = paramInfo?.serverDefault}
+			{@const serverDefault = sp[field.key]}
 			{@const isCustomRealTime = (() => {
-				if (!paramInfo || propsDefault === undefined) return false;
+				if (serverDefault == null) return false;
+				if (currentValue === '') return false;
 
-				// Apply same rounding logic for real-time comparison
-				const inputValue = currentValue;
-				const numericInput = parseFloat(inputValue);
+				const numericInput = parseFloat(currentValue);
 				const normalizedInput = !isNaN(numericInput)
 					? Math.round(numericInput * 1000000) / 1000000
-					: inputValue;
+					: currentValue;
 				const normalizedDefault =
-					typeof propsDefault === 'number'
-						? Math.round(propsDefault * 1000000) / 1000000
-						: propsDefault;
+					typeof serverDefault === 'number'
+						? Math.round(serverDefault * 1000000) / 1000000
+						: serverDefault;
 
 				return normalizedInput !== normalizedDefault;
 			})()}
@@ -74,7 +78,9 @@
 						// Update local config immediately for real-time badge feedback
 						onConfigChange(field.key, e.currentTarget.value);
 					}}
-					placeholder={`Default: ${SETTING_CONFIG_DEFAULT[field.key] ?? 'none'}`}
+					placeholder={sp[field.key] != null
+						? `Default: ${normalizeFloatingPoint(sp[field.key])}`
+						: ''}
 					class="w-full {isCustomRealTime ? 'pr-8' : ''}"
 				/>
 				{#if isCustomRealTime}
@@ -82,9 +88,7 @@
 						type="button"
 						onclick={() => {
 							settingsStore.resetParameterToServerDefault(field.key);
-							// Trigger UI update by calling onConfigChange with the default value
-							const defaultValue = propsDefault ?? SETTING_CONFIG_DEFAULT[field.key];
-							onConfigChange(field.key, String(defaultValue));
+							onConfigChange(field.key, '');
 						}}
 						class="absolute top-1/2 right-2 inline-flex h-5 w-5 -translate-y-1/2 items-center justify-center rounded transition-colors hover:bg-muted"
 						aria-label="Reset to default"
@@ -112,7 +116,7 @@
 				id={field.key}
 				value={String(localConfig[field.key] ?? '')}
 				onchange={(e) => onConfigChange(field.key, e.currentTarget.value)}
-				placeholder={`Default: ${SETTING_CONFIG_DEFAULT[field.key] ?? 'none'}`}
+				placeholder=""
 				class="min-h-[10rem] w-full md:max-w-2xl"
 			/>
 
@@ -140,14 +144,12 @@
 				(opt: { value: string; label: string; icon?: Component }) =>
 					opt.value === localConfig[field.key]
 			)}
-			{@const paramInfo = getParameterSourceInfo(field.key)}
 			{@const currentValue = localConfig[field.key]}
-			{@const propsDefault = paramInfo?.serverDefault}
+			{@const serverDefault = sp[field.key]}
 			{@const isCustomRealTime = (() => {
-				if (!paramInfo || propsDefault === undefined) return false;
-
-				// For select fields, do direct comparison (no rounding needed)
-				return currentValue !== propsDefault;
+				if (serverDefault == null) return false;
+				if (currentValue === '' || currentValue === undefined) return false;
+				return currentValue !== serverDefault;
 			})()}
 
 			<div class="flex items-center gap-2">
@@ -190,9 +192,7 @@
 							type="button"
 							onclick={() => {
 								settingsStore.resetParameterToServerDefault(field.key);
-								// Trigger UI update by calling onConfigChange with the default value
-								const defaultValue = propsDefault ?? SETTING_CONFIG_DEFAULT[field.key];
-								onConfigChange(field.key, String(defaultValue));
+								onConfigChange(field.key, '');
 							}}
 							class="absolute top-1/2 right-8 inline-flex h-5 w-5 -translate-y-1/2 items-center justify-center rounded transition-colors hover:bg-muted"
 							aria-label="Reset to default"
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
index 970394baa4a4779e772c23b4b40f71aee36f3f58..751406b3e39f6e86ffb29d28698a7b52ed90b52a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
@@ -1,13 +1,18 @@
 <script lang="ts">
 	import { goto } from '$app/navigation';
 	import { page } from '$app/state';
-	import { Trash2 } from '@lucide/svelte';
+	import { Trash2, Pencil } from '@lucide/svelte';
 	import { ChatSidebarConversationItem, DialogConfirmation } from '$lib/components/app';
+	import { Checkbox } from '$lib/components/ui/checkbox';
+	import Label from '$lib/components/ui/label/label.svelte';
 	import ScrollArea from '$lib/components/ui/scroll-area/scroll-area.svelte';
 	import * as Sidebar from '$lib/components/ui/sidebar';
-	import * as AlertDialog from '$lib/components/ui/alert-dialog';
 	import Input from '$lib/components/ui/input/input.svelte';
-	import { conversationsStore, conversations } from '$lib/stores/conversations.svelte';
+	import {
+		conversationsStore,
+		conversations,
+		buildConversationTree
+	} from '$lib/stores/conversations.svelte';
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { getPreviewText } from '$lib/utils';
 	import ChatSidebarActions from './ChatSidebarActions.svelte';
@@ -18,6 +23,7 @@
 	let isSearchModeActive = $state(false);
 	let searchQuery = $state('');
 	let showDeleteDialog = $state(false);
+	let deleteWithForks = $state(false);
 	let showEditDialog = $state(false);
 	let selectedConversation = $state<DatabaseConversation | null>(null);
 	let editedName = $state('');
@@ -35,10 +41,30 @@
 		return conversations();
 	});
 
+	let conversationTree = $derived(buildConversationTree(filteredConversations));
+
+	let selectedConversationHasDescendants = $derived.by(() => {
+		if (!selectedConversation) return false;
+
+		const allConvs = conversations();
+		const queue = [selectedConversation.id];
+
+		while (queue.length > 0) {
+			const parentId = queue.pop()!;
+
+			for (const c of allConvs) {
+				if (c.forkedFromConversationId === parentId) return true;
+			}
+		}
+
+		return false;
+	});
+
 	async function handleDeleteConversation(id: string) {
 		const conversation = conversations().find((conv) => conv.id === id);
 		if (conversation) {
 			selectedConversation = conversation;
+			deleteWithForks = false;
 			showDeleteDialog = true;
 		}
 	}
@@ -54,11 +80,14 @@
 
 	function handleConfirmDelete() {
 		if (selectedConversation) {
+			const convId = selectedConversation.id;
+			const withForks = deleteWithForks;
 			showDeleteDialog = false;
 
 			setTimeout(() => {
-				conversationsStore.deleteConversation(selectedConversation.id);
-				selectedConversation = null;
+				conversationsStore.deleteConversation(convId, {
+					deleteWithForks: withForks
+				});
 			}, 100); // Wait for animation to finish
 		}
 	}
@@ -110,7 +139,7 @@
 </script>
 
 <ScrollArea class="h-[100vh]">
-	<Sidebar.Header class=" top-0 z-10 gap-6 bg-sidebar/50 px-4 py-4 pb-2 backdrop-blur-lg md:sticky">
+	<Sidebar.Header class=" top-0 z-10 gap-4 bg-sidebar/50 p-4 pb-2 backdrop-blur-lg md:sticky">
 		<a href="#/" onclick={handleMobileSidebarItemClick}>
 			<h1 class="inline-flex items-center gap-1 px-2 text-xl font-semibold">llama.cpp</h1>
 		</a>
@@ -118,7 +147,7 @@
 		<ChatSidebarActions {handleMobileSidebarItemClick} bind:isSearchModeActive bind:searchQuery />
 	</Sidebar.Header>
 
-	<Sidebar.Group class="mt-4 space-y-2 p-0 px-4">
+	<Sidebar.Group class="mt-2 space-y-2 p-0 px-4">
 		{#if (filteredConversations.length > 0 && isSearchModeActive) || !isSearchModeActive}
 			<Sidebar.GroupLabel>
 				{isSearchModeActive ? 'Search results' : 'Conversations'}
@@ -127,15 +156,17 @@
 
 		<Sidebar.GroupContent>
 			<Sidebar.Menu>
-				{#each filteredConversations as conversation (conversation.id)}
-					<Sidebar.MenuItem class="mb-1">
+				{#each conversationTree as { conversation, depth } (conversation.id)}
+					<Sidebar.MenuItem class="mb-1 p-0">
 						<ChatSidebarConversationItem
 							conversation={{
 								id: conversation.id,
 								name: conversation.name,
 								lastModified: conversation.lastModified,
-								currNode: conversation.currNode
+								currNode: conversation.currNode,
+								forkedFromConversationId: conversation.forkedFromConversationId
 							}}
+							{depth}
 							{handleMobileSidebarItemClick}
 							isActive={currentChatId === conversation.id}
 							onSelect={selectConversation}
@@ -146,7 +177,7 @@
 					</Sidebar.MenuItem>
 				{/each}
 
-				{#if filteredConversations.length === 0}
+				{#if conversationTree.length === 0}
 					<div class="px-2 py-4 text-center">
 						<p class="mb-4 p-4 text-sm text-muted-foreground">
 							{searchQuery.length > 0
@@ -177,35 +208,40 @@
 		showDeleteDialog = false;
 		selectedConversation = null;
 	}}
-/>
-
-<AlertDialog.Root bind:open={showEditDialog}>
-	<AlertDialog.Content>
-		<AlertDialog.Header>
-			<AlertDialog.Title>Edit Conversation Name</AlertDialog.Title>
-			<AlertDialog.Description>
-				<Input
-					class="mt-4 text-foreground"
-					onkeydown={(e) => {
-						if (e.key === 'Enter') {
-							e.preventDefault();
-							handleConfirmEdit();
-						}
-					}}
-					placeholder="Enter a new name"
-					type="text"
-					bind:value={editedName}
-				/>
-			</AlertDialog.Description>
-		</AlertDialog.Header>
-		<AlertDialog.Footer>
-			<AlertDialog.Cancel
-				onclick={() => {
-					showEditDialog = false;
-					selectedConversation = null;
-				}}>Cancel</AlertDialog.Cancel
-			>
-			<AlertDialog.Action onclick={handleConfirmEdit}>Save</AlertDialog.Action>
-		</AlertDialog.Footer>
-	</AlertDialog.Content>
-</AlertDialog.Root>
+>
+	{#if selectedConversationHasDescendants}
+		<div class="flex items-center gap-2 py-2">
+			<Checkbox id="delete-with-forks" bind:checked={deleteWithForks} />
+
+			<Label for="delete-with-forks" class="text-sm">Also delete all forked conversations</Label>
+		</div>
+	{/if}
+</DialogConfirmation>
+
+<DialogConfirmation
+	bind:open={showEditDialog}
+	title="Edit Conversation Name"
+	description=""
+	confirmText="Save"
+	cancelText="Cancel"
+	icon={Pencil}
+	onConfirm={handleConfirmEdit}
+	onCancel={() => {
+		showEditDialog = false;
+		selectedConversation = null;
+	}}
+	onKeydown={(e) => {
+		if (e.key === 'Enter') {
+			e.preventDefault();
+			e.stopImmediatePropagation();
+			handleConfirmEdit();
+		}
+	}}
+>
+	<Input
+		class="text-foreground"
+		placeholder="Enter a new name"
+		type="text"
+		bind:value={editedName}
+	/>
+</DialogConfirmation>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte
index 30d1f9d4b7e98a3f8cf846d8d73bb3e25660e9ae..e0d379f6df314fe5c7e7576215adc6d5b15c4f58 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte
@@ -3,6 +3,9 @@
 	import { KeyboardShortcutInfo } from '$lib/components/app';
 	import { Button } from '$lib/components/ui/button';
 	import { Input } from '$lib/components/ui/input';
+	import { McpLogo } from '$lib/components/app';
+	import { SETTINGS_SECTION_TITLES } from '$lib/constants';
+	import { getChatSettingsDialogContext } from '$lib/contexts';
 
 	interface Props {
 		handleMobileSidebarItemClick: () => void;
@@ -18,6 +21,8 @@
 
 	let searchInput: HTMLInputElement | null = $state(null);
 
+	const chatSettingsDialog = getChatSettingsDialogContext();
+
 	function handleSearchModeDeactivate() {
 		isSearchModeActive = false;
 		searchQuery = '';
@@ -30,7 +35,7 @@
 	});
 </script>
 
-<div class="space-y-0.5">
+<div class="my-1 space-y-1">
 	{#if isSearchModeActive}
 		<div class="relative">
 			<Search class="absolute top-2.5 left-2 h-4 w-4 text-muted-foreground" />
@@ -50,13 +55,14 @@
 		</div>
 	{:else}
 		<Button
-			class="w-full justify-between hover:[&>kbd]:opacity-100"
+			class="w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100"
 			href="?new_chat=true#/"
 			onclick={handleMobileSidebarItemClick}
 			variant="ghost"
 		>
 			<div class="flex items-center gap-2">
 				<SquarePen class="h-4 w-4" />
+
 				New chat
 			</div>
 
@@ -64,7 +70,7 @@
 		</Button>
 
 		<Button
-			class="w-full justify-between hover:[&>kbd]:opacity-100"
+			class="w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100"
 			onclick={() => {
 				isSearchModeActive = true;
 			}}
@@ -72,10 +78,25 @@
 		>
 			<div class="flex items-center gap-2">
 				<Search class="h-4 w-4" />
-				Search conversations
+
+				Search
 			</div>
 
 			<KeyboardShortcutInfo keys={['cmd', 'k']} />
 		</Button>
+
+		<Button
+			class="w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100"
+			onclick={() => {
+				chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP);
+			}}
+			variant="ghost"
+		>
+			<div class="flex items-center gap-2">
+				<McpLogo class="h-4 w-4" />
+
+				MCP Servers
+			</div>
+		</Button>
 	{/if}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
index 5c48909cd81bc73192f2021be9e9f2b1ede9b05b..e22cb4f829e49cec045cce71c2ba02c697a8569d 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
@@ -1,13 +1,23 @@
 <script lang="ts">
-	import { Trash2, Pencil, MoreHorizontal, Download, Loader2, Square } from '@lucide/svelte';
+	import {
+		Trash2,
+		Pencil,
+		MoreHorizontal,
+		Download,
+		Loader2,
+		Square,
+		GitBranch
+	} from '@lucide/svelte';
 	import { DropdownMenuActions } from '$lib/components/app';
 	import * as Tooltip from '$lib/components/ui/tooltip';
+	import { FORK_TREE_DEPTH_PADDING } from '$lib/constants';
 	import { getAllLoadingChats } from '$lib/stores/chat.svelte';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
 	import { onMount } from 'svelte';
 
 	interface Props {
 		isActive?: boolean;
+		depth?: number;
 		conversation: DatabaseConversation;
 		handleMobileSidebarItemClick?: () => void;
 		onDelete?: (id: string) => void;
@@ -23,7 +33,8 @@
 		onEdit,
 		onSelect,
 		onStop,
-		isActive = false
+		isActive = false,
+		depth = 0
 	}: Props = $props();
 
 	let renderActionsDropdown = $state(false);
@@ -88,14 +99,34 @@
 
 <!-- svelte-ignore a11y_mouse_events_have_key_events -->
 <button
-	class="group flex min-h-9 w-full cursor-pointer items-center justify-between space-x-3 rounded-lg px-3 py-1.5 text-left transition-colors hover:bg-foreground/10 {isActive
+	class="group flex min-h-9 w-full cursor-pointer items-center justify-between space-x-3 rounded-lg py-1.5 text-left transition-colors hover:bg-foreground/10 {isActive
 		? 'bg-foreground/5 text-accent-foreground'
-		: ''}"
+		: ''} px-3"
 	onclick={handleSelect}
 	onmouseover={handleMouseOver}
 	onmouseleave={handleMouseLeave}
 >
-	<div class="flex min-w-0 flex-1 items-center gap-2">
+	<div
+		class="flex min-w-0 flex-1 items-center gap-2"
+		style:padding-left="{depth * FORK_TREE_DEPTH_PADDING}px"
+	>
+		{#if depth > 0}
+			<Tooltip.Root>
+				<Tooltip.Trigger>
+					<a
+						href="#/chat/{conversation.forkedFromConversationId}"
+						class="flex shrink-0 items-center text-muted-foreground transition-colors hover:text-foreground"
+					>
+						<GitBranch class="h-3.5 w-3.5" />
+					</a>
+				</Tooltip.Trigger>
+
+				<Tooltip.Content>
+					<p>See parent conversation</p>
+				</Tooltip.Content>
+			</Tooltip.Root>
+		{/if}
+
 		{#if isLoading}
 			<Tooltip.Root>
 				<Tooltip.Trigger>
diff --git a/tools/server/webui/src/lib/components/app/chat/index.ts b/tools/server/webui/src/lib/components/app/chat/index.ts
index 2eee7e2dfc0b4f584d937d758ae52516b97e19cd..88690086c7e1877c6abd46c696cf70dc64ff9686 100644
--- a/tools/server/webui/src/lib/components/app/chat/index.ts
+++ b/tools/server/webui/src/lib/components/app/chat/index.ts
@@ -425,21 +425,16 @@ export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte';
 /**
  * **ChatMessageAgenticContent** - Agentic workflow output display
  *
- * Specialized renderer for assistant messages containing agentic workflow markers.
- * Parses structured content and displays tool calls and reasoning blocks as
- * interactive collapsible sections with real-time streaming support.
+ * Specialized renderer for assistant messages with tool calls and reasoning.
+ * Derives display sections from structured message data (toolCalls, reasoningContent,
+ * and child tool result messages) and renders them as interactive collapsible sections.
  *
  * **Architecture:**
- * - Uses `parseAgenticContent()` from `$lib/utils` to parse markers
+ * - Uses `deriveAgenticSections()` from `$lib/utils` to build sections from structured data
  * - Renders sections as CollapsibleContentBlock components
  * - Handles streaming state for progressive content display
  * - Falls back to MarkdownContent for plain text sections
  *
- * **Marker Format:**
- * - Tool calls: in constants/agentic.ts (AGENTIC_TAGS)
- * - Reasoning: in constants/agentic.ts (REASONING_TAGS)
- * - Partial markers handled gracefully during streaming
- *
  * **Execution States:**
  * - **Streaming**: Animated spinner, block expanded, auto-scroll enabled
  * - **Pending**: Waiting indicator for queued tool calls
diff --git a/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte b/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
index 0b10e140080b2d79cc0be9b3694611a22b00f471..57506a963beba1173656722408de015e0c598a92 100644
--- a/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
+++ b/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
@@ -4,6 +4,7 @@
 	import remarkGfm from 'remark-gfm';
 	import remarkMath from 'remark-math';
 	import rehypeHighlight from 'rehype-highlight';
+	import { all as lowlightAll } from 'lowlight';
 	import remarkRehype from 'remark-rehype';
 	import rehypeKatex from 'rehype-katex';
 	import rehypeStringify from 'rehype-stringify';
@@ -16,6 +17,7 @@
 	import { rehypeEnhanceLinks } from '$lib/markdown/enhance-links';
 	import { rehypeEnhanceCodeBlocks } from '$lib/markdown/enhance-code-blocks';
 	import { rehypeResolveAttachmentImages } from '$lib/markdown/resolve-attachment-images';
+	import { rehypeRtlSupport } from '$lib/markdown/rehype-rtl-support';
 	import { remarkLiteralHtml } from '$lib/markdown/literal-html';
 	import { copyCodeToClipboard, preprocessLaTeX, getImageErrorFallbackHtml } from '$lib/utils';
 	import {
@@ -36,6 +38,7 @@
 	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
 	import type { DatabaseMessageExtra } from '$lib/types/database';
 	import { config } from '$lib/stores/settings.svelte';
+	import { fadeInView } from '$lib/actions/fade-in-view.svelte';
 
 	interface Props {
 		attachments?: DatabaseMessageExtra[];
@@ -94,12 +97,14 @@
 
 		return proc
 			.use(rehypeHighlight, {
+				languages: lowlightAll,
 				aliases: { [FileTypeText.XML]: [FileTypeText.SVELTE, FileTypeText.VUE] }
 			}) // Add syntax highlighting
 			.use(rehypeRestoreTableHtml) // Restore limited HTML (e.g., <br>, <ul>) inside Markdown tables
 			.use(rehypeEnhanceLinks) // Add target="_blank" to links
 			.use(rehypeEnhanceCodeBlocks) // Wrap code blocks with header and actions
 			.use(rehypeResolveAttachmentImages, { attachments })
+			.use(rehypeRtlSupport) // Add bidirectional text support
 			.use(rehypeStringify, { allowDangerousHtml: true }); // Convert to HTML string
 	});
 
@@ -598,7 +603,7 @@
 		: ''}"
 >
 	{#each renderedBlocks as block (block.id)}
-		<div class="markdown-block" data-block-id={block.id}>
+		<div class="markdown-block" data-block-id={block.id} use:fadeInView={{ skipIfVisible: true }}>
 			<!-- eslint-disable-next-line no-at-html-tags -->
 			{@html block.html}
 		</div>
@@ -651,7 +656,6 @@
 />
 
 <style>
-	.markdown-block,
 	.markdown-block--unstable {
 		display: contents;
 	}
@@ -781,19 +785,19 @@
 	/* Lists */
 	div :global(ul) {
 		list-style-type: disc;
-		margin-left: 1.5rem;
+		margin-inline-start: 1.5rem;
 		margin-bottom: 1rem;
 	}
 
 	div :global(ol) {
 		list-style-type: decimal;
-		margin-left: 1.5rem;
+		margin-inline-start: 1.5rem;
 		margin-bottom: 1rem;
 	}
 
 	div :global(li) {
 		margin-bottom: 0.25rem;
-		padding-left: 0.5rem;
+		padding-inline-start: 0.5rem;
 	}
 
 	div :global(li::marker) {
@@ -816,8 +820,8 @@
 	/* Task lists */
 	div :global(.task-list-item) {
 		list-style: none;
-		margin-left: 0;
-		padding-left: 0;
+		margin-inline-start: 0;
+		padding-inline-start: 0;
 	}
 
 	div :global(.task-list-item-checkbox) {
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
index d8aa66f3e81a7fd677f3425df222a6cdf731f437..41fdf7d410cd84e0b57e88d5d64380a9e738a044 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
@@ -1,6 +1,6 @@
 <script lang="ts">
 	import * as AlertDialog from '$lib/components/ui/alert-dialog';
-	import type { Component } from 'svelte';
+	import type { Component, Snippet } from 'svelte';
 	import { KeyboardKey } from '$lib/enums';
 
 	interface Props {
@@ -14,6 +14,7 @@
 		onConfirm: () => void;
 		onCancel: () => void;
 		onKeydown?: (event: KeyboardEvent) => void;
+		children?: Snippet;
 	}
 
 	let {
@@ -26,7 +27,8 @@
 		icon,
 		onConfirm,
 		onCancel,
-		onKeydown
+		onKeydown,
+		children
 	}: Props = $props();
 
 	function handleKeydown(event: KeyboardEvent) {
@@ -60,6 +62,10 @@
 			</AlertDialog.Description>
 		</AlertDialog.Header>
 
+		{#if children}
+			{@render children()}
+		{/if}
+
 		<AlertDialog.Footer>
 			<AlertDialog.Cancel onclick={onCancel}>{cancelText}</AlertDialog.Cancel>
 			<AlertDialog.Action
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte b/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
index 6e24ce6422a1b3d74a7557831ba368fed99990ae..3bf842468f4a22d5d160523b7896e2a5c4a0b8c9 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
@@ -15,6 +15,18 @@
 	let { logs, connectionTimeMs, defaultExpanded = false, class: className }: Props = $props();
 
 	let isExpanded = $derived(defaultExpanded);
+
+	function formatLogDetails(details: unknown): string {
+		if (details == null) {
+			return '';
+		}
+
+		try {
+			return JSON.stringify(details, null, 2);
+		} catch {
+			return String(details);
+		}
+	}
 </script>
 
 {#if logs.length > 0}
@@ -53,6 +65,16 @@
 
 						<span class="break-all">{log.message}</span>
 					</div>
+
+					{#if log.details !== undefined}
+						<details class="ml-11">
+							<summary class="cursor-pointer text-[10px] text-muted-foreground"> details </summary>
+
+							<pre
+								class="mt-1 overflow-x-auto rounded bg-background/70 p-2 text-[10px] break-all whitespace-pre-wrap text-foreground/80">
+{formatLogDetails(log.details)}</pre>
+						</details>
+					{/if}
 				{/each}
 			</div>
 		</Collapsible.Content>
diff --git a/tools/server/webui/src/lib/components/app/models/ModelId.svelte b/tools/server/webui/src/lib/components/app/models/ModelId.svelte
index 9b25d05c13c22d26c25ed5faa05df3020e655cb8..272b697c4638d7b3abc8ff7f15ff9e4c89eb12ac 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelId.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelId.svelte
@@ -18,7 +18,8 @@
 		showRaw = undefined,
 		aliases,
 		tags,
-		class: className = ''
+		class: className = '',
+		...rest
 	}: Props = $props();
 
 	const badgeClass =
@@ -28,14 +29,19 @@
 
 	let parsed = $derived(ModelsService.parseModelId(modelId));
 	let resolvedShowRaw = $derived(showRaw ?? (config().showRawModelNames as boolean) ?? false);
+	let displayName = $derived(
+		aliases && aliases.length > 0 ? aliases[0] : (parsed.modelName ?? modelId)
+	);
+	let remainingAliases = $derived(aliases && aliases.length > 1 ? aliases.slice(1) : []);
+	let allTags = $derived([...(parsed.tags ?? []), ...(tags ?? [])]);
 </script>
 
 {#if resolvedShowRaw}
-	<TruncatedText class="font-medium {className}" showTooltip={false} text={modelId} />
+	<TruncatedText class="font-medium {className}" showTooltip={false} text={modelId} {...rest} />
 {:else}
-	<span class="flex min-w-0 flex-wrap items-center gap-1 {className}">
+	<span class="flex min-w-0 flex-wrap items-center gap-1 {className}" {...rest}>
 		<span class="min-w-0 truncate font-medium">
-			{#if showOrgName && parsed.orgName}{parsed.orgName}/{/if}{parsed.modelName ?? modelId}
+			{#if showOrgName && parsed.orgName && !(aliases && aliases.length > 0)}{parsed.orgName}/{/if}{displayName}
 		</span>
 
 		{#if parsed.params}
@@ -50,14 +56,14 @@
 			</span>
 		{/if}
 
-		{#if aliases && aliases.length > 0}
-			{#each aliases as alias (alias)}
+		{#if remainingAliases.length > 0}
+			{#each remainingAliases as alias (alias)}
 				<span class={badgeClass}>{alias}</span>
 			{/each}
 		{/if}
 
-		{#if tags && tags.length > 0}
-			{#each tags as tag (tag)}
+		{#if allTags.length > 0}
+			{#each allTags as tag (tag)}
 				<span class={tagBadgeClass}>{tag}</span>
 			{/each}
 		{/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
index bf489443fa8e1add2801fd4f0419cd31033e98c7..ccda78690cf44eff0a2ffb2ece52ef257e17ec4f 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
@@ -77,7 +77,7 @@
 	let filteredOptions = $derived(filterModelOptions(options, searchTerm));
 
 	let groupedFilteredOptions = $derived(
-		groupModelOptions(filteredOptions, modelsStore.favouriteModelIds, (m) =>
+		groupModelOptions(filteredOptions, modelsStore.favoriteModelIds, (m) =>
 			modelsStore.isModelLoaded(m)
 		)
 	);
@@ -271,50 +271,49 @@
 		{#if isRouter}
 			<DropdownMenu.Root bind:open={isOpen} onOpenChange={handleOpenChange}>
 				<DropdownMenu.Trigger
+					class={cn(
+						`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
+						!isCurrentModelInCache
+							? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
+							: forceForegroundText
+								? 'text-foreground'
+								: isHighlightedCurrentModelActive
+									? 'text-foreground'
+									: 'text-muted-foreground',
+						isOpen ? 'text-foreground' : ''
+					)}
+					style="max-width: min(calc(100cqw - 9rem), 20rem)"
 					disabled={disabled || updating}
-					onclick={(e) => {
-						e.preventDefault();
-						e.stopPropagation();
-					}}
 				>
-					<button
-						type="button"
-						class={cn(
-							`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-							!isCurrentModelInCache
-								? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
-								: forceForegroundText
-									? 'text-foreground'
-									: isHighlightedCurrentModelActive
-										? 'text-foreground'
-										: 'text-muted-foreground',
-							isOpen ? 'text-foreground' : ''
-						)}
-						style="max-width: min(calc(100cqw - 9rem), 20rem)"
-						disabled={disabled || updating}
-					>
-						<Package class="h-3.5 w-3.5" />
-
-						{#if selectedOption}
-							<Tooltip.Root>
-								<Tooltip.Trigger class="min-w-0 overflow-hidden">
-									<ModelId modelId={selectedOption.model} class="min-w-0" showOrgName />
-								</Tooltip.Trigger>
-
-								<Tooltip.Content>
-									<p class="font-mono">{selectedOption.model}</p>
-								</Tooltip.Content>
-							</Tooltip.Root>
-						{:else}
-							<span class="min-w-0 font-medium">Select model</span>
-						{/if}
-
-						{#if updating || isLoadingModel}
-							<Loader2 class="h-3 w-3.5 animate-spin" />
-						{:else}
-							<ChevronDown class="h-3 w-3.5" />
-						{/if}
-					</button>
+					<Package class="h-3.5 w-3.5" />
+
+					{#if selectedOption}
+						<Tooltip.Root>
+							<Tooltip.Trigger>
+								<!-- prevent another nested button element -->
+								{#snippet child({ props })}
+									<ModelId
+										modelId={selectedOption.model}
+										class="min-w-0 overflow-hidden"
+										showOrgName
+										{...props}
+									/>
+								{/snippet}
+							</Tooltip.Trigger>
+
+							<Tooltip.Content>
+								<p class="font-mono">{selectedOption.model}</p>
+							</Tooltip.Content>
+						</Tooltip.Root>
+					{:else}
+						<span class="min-w-0 font-medium">Select model</span>
+					{/if}
+
+					{#if updating || isLoadingModel}
+						<Loader2 class="h-3 w-3.5 animate-spin" />
+					{:else}
+						<ChevronDown class="h-3 w-3.5" />
+					{/if}
 				</DropdownMenu.Trigger>
 
 				<DropdownMenu.Content
@@ -353,7 +352,7 @@
 								{@const { option, flatIndex } = item}
 								{@const isSelected = currentModel === option.model || activeId === option.id}
 								{@const isHighlighted = flatIndex === highlightedIndex}
-								{@const isFav = modelsStore.favouriteModelIds.has(option.model)}
+								{@const isFav = modelsStore.favoriteModelIds.has(option.model)}
 
 								<ModelsSelectorOption
 									{option}
@@ -407,8 +406,16 @@
 
 				{#if selectedOption}
 					<Tooltip.Root>
-						<Tooltip.Trigger class="min-w-0 overflow-hidden">
-							<ModelId modelId={selectedOption.model} class="min-w-0" showOrgName />
+						<Tooltip.Trigger>
+							<!-- prevent another nested button element -->
+							{#snippet child({ props })}
+								<ModelId
+									modelId={selectedOption.model}
+									class="min-w-0 overflow-hidden"
+									showOrgName
+									{...props}
+								/>
+							{/snippet}
 						</Tooltip.Trigger>
 
 						<Tooltip.Content>
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte
index 86d798670ca0bb8c30e9fd7b393e7031ed95596e..5c36adc14639511ed6fd1bad55f4f26716e5c235 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte
@@ -30,7 +30,7 @@
 {#snippet defaultOption(item: ModelItem, showOrgName: boolean)}
 	{@const { option } = item}
 	{@const isSelected = currentModel === option.model || activeId === option.id}
-	{@const isFav = modelsStore.favouriteModelIds.has(option.model)}
+	{@const isFav = modelsStore.favoriteModelIds.has(option.model)}
 
 	<ModelsSelectorOption
 		{option}
@@ -52,9 +52,9 @@
 	{/each}
 {/if}
 
-{#if groups.favourites.length > 0}
-	<p class={sectionHeaderClass}>Favourite models</p>
-	{#each groups.favourites as item (`fav-${item.option.id}`)}
+{#if groups.favorites.length > 0}
+	<p class={sectionHeaderClass}>Favorite models</p>
+	{#each groups.favorites as item (`fav-${item.option.id}`)}
 		{@render render(item, true)}
 	{/each}
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
index 8f44bb8de103edbacf009ae10e0e3ebab26dbb3c..3236130a9d6a8595b511ac8031136f1c5d87f361 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
@@ -46,7 +46,10 @@
 	});
 	let isOperationInProgress = $derived(modelsStore.isModelOperationInProgress(option.model));
 	let isFailed = $derived(serverStatus === ServerModelStatus.FAILED);
-	let isLoaded = $derived(serverStatus === ServerModelStatus.LOADED && !isOperationInProgress);
+	let isSleeping = $derived(serverStatus === ServerModelStatus.SLEEPING);
+	let isLoaded = $derived(
+		(serverStatus === ServerModelStatus.LOADED || isSleeping) && !isOperationInProgress
+	);
 	let isLoading = $derived(serverStatus === ServerModelStatus.LOADING || isOperationInProgress);
 </script>
 
@@ -85,17 +88,17 @@
 				<ActionIcon
 					iconSize="h-2.5 w-2.5"
 					icon={HeartOff}
-					tooltip="Remove from favourites"
+					tooltip="Remove from favorites"
 					class="h-3 w-3 hover:text-foreground"
-					onclick={() => modelsStore.toggleFavourite(option.model)}
+					onclick={() => modelsStore.toggleFavorite(option.model)}
 				/>
 			{:else}
 				<ActionIcon
 					iconSize="h-2.5 w-2.5"
 					icon={Heart}
-					tooltip="Add to favourites"
+					tooltip="Add to favorites"
 					class="h-3 w-3 hover:text-foreground"
-					onclick={() => modelsStore.toggleFavourite(option.model)}
+					onclick={() => modelsStore.toggleFavorite(option.model)}
 				/>
 			{/if}
 
@@ -129,6 +132,23 @@
 					/>
 				</div>
 			</div>
+		{:else if isSleeping}
+			<div class="flex w-4 items-center justify-center">
+				<span class="h-2 w-2 rounded-full bg-orange-400 group-hover:hidden"></span>
+
+				<div class="hidden group-hover:flex">
+					<ActionIcon
+						iconSize="h-2.5 w-2.5"
+						icon={PowerOff}
+						tooltip="Unload model"
+						class="h-3 w-3 text-red-500 hover:text-red-600"
+						onclick={(e) => {
+							e?.stopPropagation();
+							modelsStore.unloadModel(option.model);
+						}}
+					/>
+				</div>
+			</div>
 		{:else if isLoaded}
 			<div class="flex w-4 items-center justify-center">
 				<span class="h-2 w-2 rounded-full bg-green-500 group-hover:hidden"></span>
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
index 26f2b72d2b22e48464f87392b4c3b1aa556cb8f2..fe88c979f92c24f4352780604bdcca5ad32c64cf 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
@@ -76,7 +76,7 @@
 	let filteredOptions = $derived(filterModelOptions(options, searchTerm));
 
 	let groupedFilteredOptions = $derived(
-		groupModelOptions(filteredOptions, modelsStore.favouriteModelIds, (m) =>
+		groupModelOptions(filteredOptions, modelsStore.favoriteModelIds, (m) =>
 			modelsStore.isModelLoaded(m)
 		)
 	);
diff --git a/tools/server/webui/src/lib/components/app/models/index.ts b/tools/server/webui/src/lib/components/app/models/index.ts
index 6a873450539550bd6777021191c3788a9604e7d7..b4bcdf4308ee2fccef71c535982a2a4cdabed37e 100644
--- a/tools/server/webui/src/lib/components/app/models/index.ts
+++ b/tools/server/webui/src/lib/components/app/models/index.ts
@@ -47,7 +47,7 @@ export { default as ModelsSelector } from './ModelsSelector.svelte';
 /**
  * **ModelsSelectorList** - Grouped model options list
  *
- * Renders grouped model options (loaded, favourites, available) with section
+ * Renders grouped model options (loaded, favorites, available) with section
  * headers and org subgroups. Shared between ModelsSelector and ModelsSelectorSheet
  * to avoid template duplication.
  *
@@ -59,7 +59,7 @@ export { default as ModelsSelectorList } from './ModelsSelectorList.svelte';
 /**
  * **ModelsSelectorOption** - Single model option row
  *
- * Renders a single model option with selection state, favourite toggle,
+ * Renders a single model option with selection state, favorite toggle,
  * load/unload actions, status indicators, and an info button.
  * Used inside ModelsSelectorList or directly in custom render snippets.
  */
diff --git a/tools/server/webui/src/lib/components/app/models/utils.ts b/tools/server/webui/src/lib/components/app/models/utils.ts
index b3616ede8e58f81302079bada0da246299f9ac00..ae1f511e9f667c2ee09b666cd3574c5118126978 100644
--- a/tools/server/webui/src/lib/components/app/models/utils.ts
+++ b/tools/server/webui/src/lib/components/app/models/utils.ts
@@ -13,7 +13,7 @@ export interface OrgGroup {
 
 export interface GroupedModelOptions {
 	loaded: ModelItem[];
-	favourites: ModelItem[];
+	favorites: ModelItem[];
 	available: OrgGroup[];
 }
 
@@ -32,7 +32,7 @@ export function filterModelOptions(options: ModelOption[], searchTerm: string):
 
 export function groupModelOptions(
 	filteredOptions: ModelOption[],
-	favouriteIds: Set<string>,
+	favoriteIds: Set<string>,
 	isModelLoaded: (model: string) => boolean
 ): GroupedModelOptions {
 	// Loaded models
@@ -43,24 +43,24 @@ export function groupModelOptions(
 		}
 	}
 
-	// Favourites (excluding loaded)
+	// Favorites (excluding loaded)
 	const loadedModelIds = new Set(loaded.map((item) => item.option.model));
-	const favourites: ModelItem[] = [];
+	const favorites: ModelItem[] = [];
 	for (let i = 0; i < filteredOptions.length; i++) {
 		if (
-			favouriteIds.has(filteredOptions[i].model) &&
+			favoriteIds.has(filteredOptions[i].model) &&
 			!loadedModelIds.has(filteredOptions[i].model)
 		) {
-			favourites.push({ option: filteredOptions[i], flatIndex: i });
+			favorites.push({ option: filteredOptions[i], flatIndex: i });
 		}
 	}
 
-	// Available models grouped by org (excluding loaded and favourites)
+	// Available models grouped by org (excluding loaded and favorites)
 	const available: OrgGroup[] = [];
 	const orgGroups = new SvelteMap<string, ModelItem[]>();
 	for (let i = 0; i < filteredOptions.length; i++) {
 		const option = filteredOptions[i];
-		if (loadedModelIds.has(option.model) || favouriteIds.has(option.model)) continue;
+		if (loadedModelIds.has(option.model) || favoriteIds.has(option.model)) continue;
 
 		const key = option.parsedId?.orgName ?? '';
 		if (!orgGroups.has(key)) orgGroups.set(key, []);
@@ -71,5 +71,5 @@ export function groupModelOptions(
 		available.push({ orgName: orgName || null, items });
 	}
 
-	return { loaded, favourites, available };
+	return { loaded, favorites, available };
 }
diff --git a/tools/server/webui/src/lib/constants/agentic.ts b/tools/server/webui/src/lib/constants/agentic.ts
index 7ff9e4e52134a4fee7234ea1e8a501c5035a3684..d08f0ecf36c75545223f8bbe6f08070c1c940fd3 100644
--- a/tools/server/webui/src/lib/constants/agentic.ts
+++ b/tools/server/webui/src/lib/constants/agentic.ts
@@ -15,8 +15,16 @@ export const DEFAULT_AGENTIC_CONFIG: AgenticConfig = {
 	maxToolPreviewLines: 25
 } as const;
 
-// Agentic tool call tag markers
-export const AGENTIC_TAGS = {
+export const REASONING_TAGS = {
+	START: '<think>',
+	END: '</think>'
+} as const;
+
+/**
+ * @deprecated Legacy marker tags - only used for migration of old stored messages.
+ * New messages use structured fields (reasoningContent, toolCalls, toolCallId).
+ */
+export const LEGACY_AGENTIC_TAGS = {
 	TOOL_CALL_START: '<<<AGENTIC_TOOL_CALL_START>>>',
 	TOOL_CALL_END: '<<<AGENTIC_TOOL_CALL_END>>>',
 	TOOL_NAME_PREFIX: '<<<TOOL_NAME:',
@@ -25,37 +33,25 @@ export const AGENTIC_TAGS = {
 	TAG_SUFFIX: '>>>'
 } as const;
 
-export const REASONING_TAGS = {
+/**
+ * @deprecated Legacy reasoning tags - only used for migration of old stored messages.
+ * New messages use the dedicated reasoningContent field.
+ */
+export const LEGACY_REASONING_TAGS = {
 	START: '<<<reasoning_content_start>>>',
 	END: '<<<reasoning_content_end>>>'
 } as const;
 
-// Regex for trimming leading/trailing newlines
-export const TRIM_NEWLINES_REGEX = /^\n+|\n+$/g;
-
-// Regex patterns for parsing agentic content
-export const AGENTIC_REGEX = {
-	// Matches completed tool calls (with END marker)
+/**
+ * @deprecated Legacy regex patterns - only used for migration of old stored messages.
+ */
+export const LEGACY_AGENTIC_REGEX = {
 	COMPLETED_TOOL_CALL:
 		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g,
-	// Matches pending tool call (has NAME and ARGS but no END)
-	PENDING_TOOL_CALL:
-		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*)$/,
-	// Matches partial tool call (has START and NAME, ARGS still streaming)
-	PARTIAL_WITH_NAME:
-		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*)$/,
-	// Matches early tool call (just START marker)
-	EARLY_MATCH: /<<<AGENTIC_TOOL_CALL_START>>>([\s\S]*)$/,
-	// Matches partial marker at end of content
-	PARTIAL_MARKER: /<<<[A-Za-z_]*$/,
-	// Matches reasoning content blocks (including tags)
 	REASONING_BLOCK: /<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g,
-	// Matches an opening reasoning tag and any remaining content (unterminated)
+	REASONING_EXTRACT: /<<<reasoning_content_start>>>([\s\S]*?)<<<reasoning_content_end>>>/,
 	REASONING_OPEN: /<<<reasoning_content_start>>>[\s\S]*$/,
-	// Matches a complete agentic tool call display block (start to end marker)
 	AGENTIC_TOOL_CALL_BLOCK: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*?<<<AGENTIC_TOOL_CALL_END>>>/g,
-	// Matches a pending/partial agentic tool call (start marker with no matching end)
 	AGENTIC_TOOL_CALL_OPEN: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/,
-	// Matches tool name inside content
-	TOOL_NAME_EXTRACT: /<<<TOOL_NAME:([^>]+)>>>/
+	HAS_LEGACY_MARKERS: /<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/
 } as const;
diff --git a/tools/server/webui/src/lib/constants/auto-scroll.ts b/tools/server/webui/src/lib/constants/auto-scroll.ts
index 098f435d6c63b4dc4e7de7d5ae1da16761d13b09..ca9ba5a9e832697ba1d8172eca8e8dd53dea5e6b 100644
--- a/tools/server/webui/src/lib/constants/auto-scroll.ts
+++ b/tools/server/webui/src/lib/constants/auto-scroll.ts
@@ -1,3 +1,2 @@
 export const AUTO_SCROLL_INTERVAL = 100;
-export const INITIAL_SCROLL_DELAY = 50;
 export const AUTO_SCROLL_AT_BOTTOM_THRESHOLD = 10;
diff --git a/tools/server/webui/src/lib/constants/context-keys.ts b/tools/server/webui/src/lib/constants/context-keys.ts
new file mode 100644
index 0000000000000000000000000000000000000000..ba61d25e81113b9aa7e83b71240d5cb9781b79f3
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/context-keys.ts
@@ -0,0 +1,3 @@
+export const CONTEXT_KEY_MESSAGE_EDIT = 'chat-message-edit';
+export const CONTEXT_KEY_CHAT_ACTIONS = 'chat-actions';
+export const CONTEXT_KEY_CHAT_SETTINGS_DIALOG = 'chat-settings-dialog';
diff --git a/tools/server/webui/src/lib/constants/index.ts b/tools/server/webui/src/lib/constants/index.ts
index f3593c03b1291646ef1c48201bd688f21c03db7c..70bed50a699943e472cb015cae7f27859fd51321 100644
--- a/tools/server/webui/src/lib/constants/index.ts
+++ b/tools/server/webui/src/lib/constants/index.ts
@@ -10,6 +10,7 @@ export * from './cache';
 export * from './chat-form';
 export * from './code-blocks';
 export * from './code';
+export * from './context-keys';
 export * from './css-classes';
 export * from './favicon';
 export * from './floating-ui-constraints';
diff --git a/tools/server/webui/src/lib/constants/localstorage-keys.ts b/tools/server/webui/src/lib/constants/localstorage-keys.ts
index 6b9a9e0e2f8ff12d875f3f0e4743f0763c617a86..2a2b629fd6ee8c7b8f620e59d8d2e6c90fb784ec 100644
--- a/tools/server/webui/src/lib/constants/localstorage-keys.ts
+++ b/tools/server/webui/src/lib/constants/localstorage-keys.ts
@@ -1,3 +1,4 @@
 export const CONFIG_LOCALSTORAGE_KEY = 'LlamaCppWebui.config';
 export const USER_OVERRIDES_LOCALSTORAGE_KEY = 'LlamaCppWebui.userOverrides';
-export const FAVOURITE_MODELS_LOCALSTORAGE_KEY = 'LlamaCppWebui.favouriteModels';
+export const FAVORITE_MODELS_LOCALSTORAGE_KEY = 'LlamaCppWebui.favoriteModels';
+export const MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY = 'LlamaCppWebui.mcpDefaultEnabled';
diff --git a/tools/server/webui/src/lib/constants/mcp.ts b/tools/server/webui/src/lib/constants/mcp.ts
index 8f10b15e16c8b91fc3525fd67c9c9073d827a6ee..90bfffada3d01c025368e482b9b74cd0d6f4abec 100644
--- a/tools/server/webui/src/lib/constants/mcp.ts
+++ b/tools/server/webui/src/lib/constants/mcp.ts
@@ -48,6 +48,26 @@ export const EXPECTED_THEMED_ICON_PAIR_COUNT = 2;
 /** CORS proxy URL query parameter name */
 export const CORS_PROXY_URL_PARAM = 'url';
 
+/** Number of trailing characters to keep visible when partially redacting mcp-session-id */
+export const MCP_SESSION_ID_VISIBLE_CHARS = 5;
+
+/** Partial-redaction rules for MCP headers: header name -> visible trailing chars */
+export const MCP_PARTIAL_REDACT_HEADERS = new Map<string, number>([
+	['mcp-session-id', MCP_SESSION_ID_VISIBLE_CHARS]
+]);
+
+/** Header names whose values should be redacted in diagnostic logs */
+export const REDACTED_HEADERS = new Set([
+	'authorization',
+	'api-key',
+	'cookie',
+	'mcp-session-id',
+	'proxy-authorization',
+	'set-cookie',
+	'x-auth-token',
+	'x-api-key'
+]);
+
 /** Human-readable labels for MCP transport types */
 export const MCP_TRANSPORT_LABELS: Record<MCPTransportType, string> = {
 	[MCPTransportType.WEBSOCKET]: 'WebSocket',
diff --git a/tools/server/webui/src/lib/constants/model-id.ts b/tools/server/webui/src/lib/constants/model-id.ts
index eb6662a02daa1b7afc7a745ce2d221c5613dd1d6..ee314d16744e0e4396eab4c54ea60ae2375e337e 100644
--- a/tools/server/webui/src/lib/constants/model-id.ts
+++ b/tools/server/webui/src/lib/constants/model-id.ts
@@ -11,10 +11,16 @@ export const MODEL_ID_SEGMENT_SEPARATOR = '-';
 export const MODEL_ID_QUANTIZATION_SEPARATOR = ':';
 
 /**
- * Matches a trailing ALL-CAPS format segment, e.g. `GGUF`, `BF16`, `Q4_K_M`.
- * Must be at least 2 uppercase letters, optionally followed by uppercase letters or digits.
+ * Matches a quantization/precision segment, e.g. `Q4_K_M`, `IQ4_XS`, `F16`, `BF16`, `MXFP4`.
+ * Case-insensitive to handle both uppercase and lowercase inputs.
  */
-export const MODEL_FORMAT_SEGMENT_RE = /^[A-Z]{2,}[A-Z0-9]*$/;
+export const MODEL_QUANTIZATION_SEGMENT_RE =
+	/^(I?Q\d+(_[A-Z0-9]+)*|F\d+|BF\d+|MXFP\d+(_[A-Z0-9]+)*)$/i;
+
+/**
+ * Matches prefix for custom quantization types, e.g. `UD-Q8_K_XL`.
+ */
+export const MODEL_CUSTOM_QUANTIZATION_PREFIX_RE = /^UD$/i;
 
 /**
  * Matches a parameter-count segment, e.g. `7B`, `1.5b`, `120M`.
@@ -22,7 +28,12 @@ export const MODEL_FORMAT_SEGMENT_RE = /^[A-Z]{2,}[A-Z0-9]*$/;
 export const MODEL_PARAMS_RE = /^\d+(\.\d+)?[BbMmKkTt]$/;
 
 /**
- * Matches an activated-parameter-count segment, e.g. `A10B`, `A2.4b`.
- * The leading `A` distinguishes it from a regular params segment.
+ * Matches an activated-parameter-count segment, e.g. `A10B`, `a2.4b`.
+ * The leading `A`/`a` distinguishes it from a regular params segment.
+ */
+export const MODEL_ACTIVATED_PARAMS_RE = /^[Aa]\d+(\.\d+)?[BbMmKkTt]$/;
+
+/**
+ * Container format segments to exclude from tags (every model uses these).
  */
-export const MODEL_ACTIVATED_PARAMS_RE = /^A\d+(\.\d+)?[BbMmKkTt]$/;
+export const MODEL_IGNORED_SEGMENTS = new Set(['GGUF', 'GGML']);
diff --git a/tools/server/webui/src/lib/constants/settings-config.ts b/tools/server/webui/src/lib/constants/settings-config.ts
index e76fa89e9a3eff1dc569e1429744feef82b68615..7e73fd7103107ea7a23ca02d69fa55273f7f70aa 100644
--- a/tools/server/webui/src/lib/constants/settings-config.ts
+++ b/tools/server/webui/src/lib/constants/settings-config.ts
@@ -1,8 +1,8 @@
 import { ColorMode } from '$lib/enums/ui';
 import { Monitor, Moon, Sun } from '@lucide/svelte';
 
-export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean> = {
-	// Note: in order not to introduce breaking changes, please keep the same data type (number, string, etc) if you want to change the default value. Do not use null or undefined for default value.
+export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean | undefined> = {
+	// Note: in order not to introduce breaking changes, please keep the same data type (number, string, etc) if you want to change the default value.
 	// Do not use nested objects, keep it single level. Prefix the key if you need to group them.
 	apiKey: '',
 	systemMessage: '',
@@ -10,10 +10,12 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean> =
 	theme: ColorMode.SYSTEM,
 	showThoughtInProgress: false,
 	disableReasoningParsing: false,
+	excludeReasoningFromContext: false,
 	showRawOutputSwitch: false,
 	keepStatsVisible: false,
 	showMessageStats: true,
 	askForTitleConfirmation: false,
+	titleGenerationUseFirstLine: false,
 	pasteLongTextToFileLen: 2500,
 	copyTextAttachmentsAsPlainText: false,
 	pdfAsImage: false,
@@ -21,6 +23,7 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean> =
 	renderUserContentAsMarkdown: false,
 	alwaysShowSidebarOnDesktop: false,
 	autoShowSidebarOnNewChat: true,
+	sendOnEnter: true,
 	autoMicOnEmpty: false,
 	fullHeightCodeBlocks: false,
 	showRawModelNames: false,
@@ -30,28 +33,32 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean> =
 	agenticMaxToolPreviewLines: 25,
 	showToolCallInProgress: false,
 	alwaysShowAgenticTurns: false,
-	// make sure these default values are in sync with `common.h`
-	samplers: 'top_k;typ_p;top_p;min_p;temperature',
+	// sampling params: empty means "use server default"
+	// the server / preset is the source of truth
+	// empty values are shown as placeholders from /props in the UI
+	// and are NOT sent in API requests, letting the server decide
+	samplers: '',
 	backend_sampling: false,
-	temperature: 0.8,
-	dynatemp_range: 0.0,
-	dynatemp_exponent: 1.0,
-	top_k: 40,
-	top_p: 0.95,
-	min_p: 0.05,
-	xtc_probability: 0.0,
-	xtc_threshold: 0.1,
-	typ_p: 1.0,
-	repeat_last_n: 64,
-	repeat_penalty: 1.0,
-	presence_penalty: 0.0,
-	frequency_penalty: 0.0,
-	dry_multiplier: 0.0,
-	dry_base: 1.75,
-	dry_allowed_length: 2,
-	dry_penalty_last_n: -1,
-	max_tokens: -1,
+	temperature: undefined,
+	dynatemp_range: undefined,
+	dynatemp_exponent: undefined,
+	top_k: undefined,
+	top_p: undefined,
+	min_p: undefined,
+	xtc_probability: undefined,
+	xtc_threshold: undefined,
+	typ_p: undefined,
+	repeat_last_n: undefined,
+	repeat_penalty: undefined,
+	presence_penalty: undefined,
+	frequency_penalty: undefined,
+	dry_multiplier: undefined,
+	dry_base: undefined,
+	dry_allowed_length: undefined,
+	dry_penalty_last_n: undefined,
+	max_tokens: undefined,
 	custom: '', // custom json-stringified object
+	preEncodeConversation: false,
 	// experimental features
 	pyInterpreterEnabled: false,
 	enableContinueGeneration: false
@@ -102,7 +109,9 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 	custom: 'Custom JSON parameters to send to the API. Must be valid JSON format.',
 	showThoughtInProgress: 'Expand thought process by default when generating messages.',
 	disableReasoningParsing:
-		'Send reasoning_format=none to prevent server-side extraction of reasoning tokens into separate field',
+		'Send reasoning_format=none so the server returns thinking tokens inline instead of extracting them into a separate field.',
+	excludeReasoningFromContext:
+		'Strip thinking from previous messages before sending. When off, thinking is sent back via the reasoning_content field so the model sees its own chain-of-thought across turns.',
 	showRawOutputSwitch:
 		'Show toggle button to display messages as plain text instead of Markdown-formatted content',
 	keepStatsVisible: 'Keep processing statistics visible after generation finishes.',
@@ -110,6 +119,8 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Display generation statistics (tokens/second, token count, duration) below each assistant message.',
 	askForTitleConfirmation:
 		'Ask for confirmation before automatically changing conversation title when editing the first message.',
+	titleGenerationUseFirstLine:
+		'Use only the first non-empty line of the prompt to generate the conversation title.',
 	pdfAsImage:
 		'Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.',
 	disableAutoScroll:
@@ -119,12 +130,14 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Always keep the sidebar visible on desktop instead of auto-hiding it.',
 	autoShowSidebarOnNewChat:
 		'Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.',
+	sendOnEnter:
+		'Use Enter to send messages and Shift + Enter for new lines. When disabled, use Ctrl/Cmd + Enter.',
 	autoMicOnEmpty:
 		'Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.',
 	fullHeightCodeBlocks:
 		'Always display code blocks at their full natural height, overriding any height limits.',
 	showRawModelNames:
-		'Display full raw model identifiers (e.g. "unsloth/Qwen3.5-27B-GGUF:BF16") instead of parsed names with badges.',
+		'Display full raw model identifiers (e.g. "ggml-org/GLM-4.7-Flash-GGUF:Q8_0") instead of parsed names with badges.',
 	mcpServers:
 		'Configure MCP servers as a JSON list. Use the form in the MCP Client settings section to edit.',
 	mcpServerUsageStats:
@@ -137,6 +150,8 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Automatically expand tool call details while executing and keep them expanded after completion.',
 	pyInterpreterEnabled:
 		'Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.',
+	preEncodeConversation:
+		'After each response, re-submit the conversation to pre-fill the server KV cache. Makes the next turn faster since the prompt is already encoded while you read the response.',
 	enableContinueGeneration:
 		'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'
 };
diff --git a/tools/server/webui/src/lib/constants/settings-keys.ts b/tools/server/webui/src/lib/constants/settings-keys.ts
index 12091035781556dc1992b72e7b5972190b5ad256..a96cbca43b0b67df829381321adddd8a21724788 100644
--- a/tools/server/webui/src/lib/constants/settings-keys.ts
+++ b/tools/server/webui/src/lib/constants/settings-keys.ts
@@ -11,9 +11,11 @@ export const SETTINGS_KEYS = {
 	SYSTEM_MESSAGE: 'systemMessage',
 	PASTE_LONG_TEXT_TO_FILE_LEN: 'pasteLongTextToFileLen',
 	COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT: 'copyTextAttachmentsAsPlainText',
+	SEND_ON_ENTER: 'sendOnEnter',
 	ENABLE_CONTINUE_GENERATION: 'enableContinueGeneration',
 	PDF_AS_IMAGE: 'pdfAsImage',
 	ASK_FOR_TITLE_CONFIRMATION: 'askForTitleConfirmation',
+	TITLE_GENERATION_USE_FIRST_LINE: 'titleGenerationUseFirstLine',
 	// Display
 	SHOW_MESSAGE_STATS: 'showMessageStats',
 	SHOW_THOUGHT_IN_PROGRESS: 'showThoughtInProgress',
@@ -52,8 +54,11 @@ export const SETTINGS_KEYS = {
 	ALWAYS_SHOW_AGENTIC_TURNS: 'alwaysShowAgenticTurns',
 	AGENTIC_MAX_TOOL_PREVIEW_LINES: 'agenticMaxToolPreviewLines',
 	SHOW_TOOL_CALL_IN_PROGRESS: 'showToolCallInProgress',
+	// Performance
+	PRE_ENCODE_CONVERSATION: 'preEncodeConversation',
 	// Developer
 	DISABLE_REASONING_PARSING: 'disableReasoningParsing',
+	EXCLUDE_REASONING_FROM_CONTEXT: 'excludeReasoningFromContext',
 	SHOW_RAW_OUTPUT_SWITCH: 'showRawOutputSwitch',
 	CUSTOM: 'custom'
 } as const;
diff --git a/tools/server/webui/src/lib/constants/ui.ts b/tools/server/webui/src/lib/constants/ui.ts
index a75b30f2f8a42d2d177dfa6381ddcacb8e13b102..be9c50d0768833f63081b50e78402e1dfd953a63 100644
--- a/tools/server/webui/src/lib/constants/ui.ts
+++ b/tools/server/webui/src/lib/constants/ui.ts
@@ -1 +1,2 @@
+export const FORK_TREE_DEPTH_PADDING = 8;
 export const SYSTEM_MESSAGE_PLACEHOLDER = 'System message';
diff --git a/tools/server/webui/src/lib/contexts/chat-actions.context.ts b/tools/server/webui/src/lib/contexts/chat-actions.context.ts
index eba0fec027e360d2e85ecb672a9ba3f99cc1f915..e9050fa27fb3ddd236ffa5815279cd13e1cbc156 100644
--- a/tools/server/webui/src/lib/contexts/chat-actions.context.ts
+++ b/tools/server/webui/src/lib/contexts/chat-actions.context.ts
@@ -1,4 +1,5 @@
 import { getContext, setContext } from 'svelte';
+import { CONTEXT_KEY_CHAT_ACTIONS } from '$lib/constants';
 
 export interface ChatActionsContext {
 	copy: (message: DatabaseMessage) => void;
@@ -21,9 +22,13 @@ export interface ChatActionsContext {
 	) => void;
 	regenerateWithBranching: (message: DatabaseMessage, modelOverride?: string) => void;
 	continueAssistantMessage: (message: DatabaseMessage) => void;
+	forkConversation: (
+		message: DatabaseMessage,
+		options: { name: string; includeAttachments: boolean }
+	) => void;
 }
 
-const CHAT_ACTIONS_KEY = Symbol.for('chat-actions');
+const CHAT_ACTIONS_KEY = Symbol.for(CONTEXT_KEY_CHAT_ACTIONS);
 
 export function setChatActionsContext(ctx: ChatActionsContext): ChatActionsContext {
 	return setContext(CHAT_ACTIONS_KEY, ctx);
diff --git a/tools/server/webui/src/lib/contexts/chat-settings-dialog.context.ts b/tools/server/webui/src/lib/contexts/chat-settings-dialog.context.ts
new file mode 100644
index 0000000000000000000000000000000000000000..3f98c3c0ef670f24cb6307a5bb686c365b7f439a
--- /dev/null
+++ b/tools/server/webui/src/lib/contexts/chat-settings-dialog.context.ts
@@ -0,0 +1,19 @@
+import { getContext, setContext } from 'svelte';
+import type { SettingsSectionTitle } from '$lib/constants';
+import { CONTEXT_KEY_CHAT_SETTINGS_DIALOG } from '$lib/constants';
+
+export interface ChatSettingsDialogContext {
+	open: (initialSection?: SettingsSectionTitle) => void;
+}
+
+const CHAT_SETTINGS_DIALOG_KEY = Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_DIALOG);
+
+export function setChatSettingsDialogContext(
+	ctx: ChatSettingsDialogContext
+): ChatSettingsDialogContext {
+	return setContext(CHAT_SETTINGS_DIALOG_KEY, ctx);
+}
+
+export function getChatSettingsDialogContext(): ChatSettingsDialogContext {
+	return getContext(CHAT_SETTINGS_DIALOG_KEY);
+}
diff --git a/tools/server/webui/src/lib/contexts/index.ts b/tools/server/webui/src/lib/contexts/index.ts
index 73ff6f96fa93747be766253ca4be2742264a1004..6c69070d8195b60ed102de706b5bf00f1845992d 100644
--- a/tools/server/webui/src/lib/contexts/index.ts
+++ b/tools/server/webui/src/lib/contexts/index.ts
@@ -11,3 +11,9 @@ export {
 	setChatActionsContext,
 	type ChatActionsContext
 } from './chat-actions.context';
+
+export {
+	getChatSettingsDialogContext,
+	setChatSettingsDialogContext,
+	type ChatSettingsDialogContext
+} from './chat-settings-dialog.context';
diff --git a/tools/server/webui/src/lib/contexts/message-edit.context.ts b/tools/server/webui/src/lib/contexts/message-edit.context.ts
index 7af116daa5a4659c6ab0e7dbb7f1c8c3182e23e6..2d344cca50ff1ccf0ef339c087aea72e7a8defe2 100644
--- a/tools/server/webui/src/lib/contexts/message-edit.context.ts
+++ b/tools/server/webui/src/lib/contexts/message-edit.context.ts
@@ -1,4 +1,5 @@
 import { getContext, setContext } from 'svelte';
+import { CONTEXT_KEY_MESSAGE_EDIT } from '$lib/constants';
 
 export interface MessageEditState {
 	readonly isEditing: boolean;
@@ -22,7 +23,7 @@ export interface MessageEditActions {
 
 export type MessageEditContext = MessageEditState & MessageEditActions;
 
-const MESSAGE_EDIT_KEY = Symbol.for('chat-message-edit');
+const MESSAGE_EDIT_KEY = Symbol.for(CONTEXT_KEY_MESSAGE_EDIT);
 
 /**
  * Sets the message edit context. Call this in the parent component (ChatMessage.svelte).
diff --git a/tools/server/webui/src/lib/enums/server.ts b/tools/server/webui/src/lib/enums/server.ts
index 7f30eab2cf6cca2f1edf33acb2592122be899940..c9d599c52bfa7ad04ff459222b79ed8a506a8041 100644
--- a/tools/server/webui/src/lib/enums/server.ts
+++ b/tools/server/webui/src/lib/enums/server.ts
@@ -16,5 +16,6 @@ export enum ServerModelStatus {
 	UNLOADED = 'unloaded',
 	LOADING = 'loading',
 	LOADED = 'loaded',
+	SLEEPING = 'sleeping',
 	FAILED = 'failed'
 }
diff --git a/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts b/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts
index afd0aad8301de15dfa97c56e0d164f1f699b00a3..204d71a90a0274627d15907414b43a2095f5ee00 100644
--- a/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts
+++ b/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts
@@ -1,8 +1,8 @@
 import { AUTO_SCROLL_AT_BOTTOM_THRESHOLD, AUTO_SCROLL_INTERVAL } from '$lib/constants';
 
 export interface AutoScrollOptions {
-	/** Whether auto-scroll is disabled globally (e.g., from settings) */
 	disabled?: boolean;
+	isColumnReverse?: boolean;
 }
 
 /**
@@ -12,6 +12,7 @@ export interface AutoScrollOptions {
  * - Auto-scrolls to bottom during streaming/loading
  * - Stops auto-scroll when user manually scrolls up
  * - Resumes auto-scroll when user scrolls back to bottom
+ * - Supports both normal and column-reverse scroll containers
  */
 export class AutoScrollController {
 	private _autoScrollEnabled = $state(true);
@@ -21,9 +22,14 @@ export class AutoScrollController {
 	private _scrollTimeout: ReturnType<typeof setTimeout> | undefined;
 	private _container: HTMLElement | undefined;
 	private _disabled: boolean;
+	private _isColumnReverse: boolean;
+	private _mutationObserver: MutationObserver | null = null;
+	private _rafPending = false;
+	private _observerEnabled = false;
 
 	constructor(options: AutoScrollOptions = {}) {
 		this._disabled = options.disabled ?? false;
+		this._isColumnReverse = options.isColumnReverse ?? false;
 	}
 
 	get autoScrollEnabled(): boolean {
@@ -38,7 +44,12 @@ export class AutoScrollController {
 	 * Binds the controller to a scrollable container element.
 	 */
 	setContainer(container: HTMLElement | undefined): void {
+		this._doStopObserving();
 		this._container = container;
+
+		if (this._observerEnabled && container && !this._disabled) {
+			this._doStartObserving();
+		}
 	}
 
 	/**
@@ -49,6 +60,9 @@ export class AutoScrollController {
 		if (disabled) {
 			this._autoScrollEnabled = false;
 			this.stopInterval();
+			this._doStopObserving();
+		} else if (this._observerEnabled && this._container && !this._mutationObserver) {
+			this._doStartObserving();
 		}
 	}
 
@@ -59,10 +73,23 @@ export class AutoScrollController {
 		if (this._disabled || !this._container) return;
 
 		const { scrollTop, scrollHeight, clientHeight } = this._container;
-		const distanceFromBottom = scrollHeight - scrollTop - clientHeight;
+
+		let distanceFromBottom: number;
+		let isScrollingUp: boolean;
+
+		if (this._isColumnReverse) {
+			// column-reverse: scrollTop=0 at bottom, negative when scrolled up
+			distanceFromBottom = Math.abs(scrollTop);
+			isScrollingUp = scrollTop < this._lastScrollTop;
+		} else {
+			// normal: scrollTop=0 at top, increases when scrolled down
+			distanceFromBottom = scrollHeight - clientHeight - scrollTop;
+			isScrollingUp = scrollTop < this._lastScrollTop;
+		}
+
 		const isAtBottom = distanceFromBottom < AUTO_SCROLL_AT_BOTTOM_THRESHOLD;
 
-		if (scrollTop < this._lastScrollTop && !isAtBottom) {
+		if (isScrollingUp && !isAtBottom) {
 			this._userScrolledUp = true;
 			this._autoScrollEnabled = false;
 		} else if (isAtBottom && this._userScrolledUp) {
@@ -90,10 +117,12 @@ export class AutoScrollController {
 	scrollToBottom(behavior: ScrollBehavior = 'smooth'): void {
 		if (this._disabled || !this._container) return;
 
-		this._container.scrollTo({
-			top: this._container.scrollHeight,
-			behavior
-		});
+		if (this._isColumnReverse) {
+			// column-reverse: scrollTop=0 is the bottom
+			this._container.scrollTo({ top: 0, behavior });
+		} else {
+			this._container.scrollTo({ top: this._container.scrollHeight, behavior });
+		}
 	}
 
 	/**
@@ -150,11 +179,69 @@ export class AutoScrollController {
 	 */
 	destroy(): void {
 		this.stopInterval();
+		this._doStopObserving();
+
 		if (this._scrollTimeout) {
 			clearTimeout(this._scrollTimeout);
 			this._scrollTimeout = undefined;
 		}
 	}
+
+	/**
+	 * Starts a MutationObserver on the container that auto-scrolls to bottom
+	 * on content changes. More responsive than interval-based polling.
+	 */
+	startObserving(): void {
+		this._observerEnabled = true;
+
+		if (this._container && !this._disabled && !this._mutationObserver) {
+			this._doStartObserving();
+		}
+	}
+
+	/**
+	 * Stops the MutationObserver.
+	 */
+	stopObserving(): void {
+		this._observerEnabled = false;
+		this._doStopObserving();
+	}
+
+	private _doStartObserving(): void {
+		if (!this._container || this._mutationObserver) return;
+
+		const isReverse = this._isColumnReverse;
+
+		this._mutationObserver = new MutationObserver(() => {
+			if (!this._autoScrollEnabled || this._rafPending) return;
+			this._rafPending = true;
+			requestAnimationFrame(() => {
+				this._rafPending = false;
+				if (this._autoScrollEnabled && this._container) {
+					if (isReverse) {
+						// column-reverse: scrollTop=0 is the bottom
+						this._container.scrollTop = 0;
+					} else {
+						this._container.scrollTop = this._container.scrollHeight;
+					}
+				}
+			});
+		});
+
+		this._mutationObserver.observe(this._container, {
+			childList: true,
+			subtree: true,
+			characterData: true
+		});
+	}
+
+	private _doStopObserving(): void {
+		if (this._mutationObserver) {
+			this._mutationObserver.disconnect();
+			this._mutationObserver = null;
+		}
+		this._rafPending = false;
+	}
 }
 
 /**
diff --git a/tools/server/webui/src/lib/markdown/rehype-rtl-support.ts b/tools/server/webui/src/lib/markdown/rehype-rtl-support.ts
new file mode 100644
index 0000000000000000000000000000000000000000..0a8b93ad547207d6ed71e840feee0391f7792f86
--- /dev/null
+++ b/tools/server/webui/src/lib/markdown/rehype-rtl-support.ts
@@ -0,0 +1,28 @@
+/**
+ * Rehype plugin to provide comprehensive RTL support by adding dir="auto"
+ * to all text-containing elements.
+ *
+ * This operates directly on the HAST tree, ensuring that all elements
+ * (including those not in a predefined list) receive the attribute.
+ */
+
+import type { Plugin } from 'unified';
+import type { Root, Element } from 'hast';
+import { visit } from 'unist-util-visit';
+
+/**
+ * Rehype plugin to add dir="auto" to all elements that have children.
+ * This provides bidirectional text support for mixed RTL/LTR content.
+ */
+export const rehypeRtlSupport: Plugin<[], Root> = () => {
+	return (tree: Root) => {
+		visit(tree, 'element', (node: Element) => {
+			if (node.children && node.children.length > 0) {
+				node.properties = {
+					...node.properties,
+					dir: 'auto'
+				};
+			}
+		});
+	};
+};
diff --git a/tools/server/webui/src/lib/services/chat.service.ts b/tools/server/webui/src/lib/services/chat.service.ts
index 80dc1800c707fe15ab429b85ddc552177e4be99d..52d7ea616220dafe610c3a95a2e4e86fe54b91d1 100644
--- a/tools/server/webui/src/lib/services/chat.service.ts
+++ b/tools/server/webui/src/lib/services/chat.service.ts
@@ -1,9 +1,11 @@
-import { getJsonHeaders, formatAttachmentText, isAbortError } from '$lib/utils';
+import { getJsonHeaders } from '$lib/utils/api-headers';
+import { formatAttachmentText } from '$lib/utils/formatters';
+import { isAbortError } from '$lib/utils/abort';
 import {
-	AGENTIC_REGEX,
 	ATTACHMENT_LABEL_PDF_FILE,
 	ATTACHMENT_LABEL_MCP_PROMPT,
-	ATTACHMENT_LABEL_MCP_RESOURCE
+	ATTACHMENT_LABEL_MCP_RESOURCE,
+	LEGACY_AGENTIC_REGEX
 } from '$lib/constants';
 import {
 	AttachmentType,
@@ -17,38 +19,6 @@ import type { DatabaseMessageExtraMcpPrompt, DatabaseMessageExtraMcpResource } f
 import { modelsStore } from '$lib/stores/models.svelte';
 
 export class ChatService {
-	private static stripReasoningContent(
-		content: ApiChatMessageData['content'] | null | undefined
-	): ApiChatMessageData['content'] | null | undefined {
-		if (!content) {
-			return content;
-		}
-
-		if (typeof content === 'string') {
-			return content
-				.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-				.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
-		}
-
-		if (!Array.isArray(content)) {
-			return content;
-		}
-
-		return content.map((part: ApiChatMessageContentPart) => {
-			if (part.type !== ContentPartType.TEXT || !part.text) return part;
-			return {
-				...part,
-				text: part.text
-					.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-					.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
-			};
-		});
-	}
-
 	/**
 	 *
 	 *
@@ -111,7 +81,8 @@ export class ChatService {
 			custom,
 			timings_per_token,
 			// Config options
-			disableReasoningParsing
+			disableReasoningParsing,
+			excludeReasoningFromContext
 		} = options;
 
 		const normalizedMessages: ApiChatMessageData[] = messages
@@ -159,14 +130,19 @@ export class ChatService {
 		}
 
 		const requestBody: ApiChatCompletionRequest = {
-			messages: normalizedMessages.map((msg: ApiChatMessageData) => ({
-				role: msg.role,
-				// Strip reasoning tags/content from the prompt to avoid polluting KV cache.
-				// TODO: investigate backend expectations for reasoning tags and add a toggle if needed.
-				content: ChatService.stripReasoningContent(msg.content),
-				tool_calls: msg.tool_calls,
-				tool_call_id: msg.tool_call_id
-			})),
+			messages: normalizedMessages.map((msg: ApiChatMessageData) => {
+				const mapped: ApiChatCompletionRequest['messages'][0] = {
+					role: msg.role,
+					content: msg.content,
+					tool_calls: msg.tool_calls,
+					tool_call_id: msg.tool_call_id
+				};
+				// Include reasoning_content from the dedicated field
+				if (!excludeReasoningFromContext && msg.reasoning_content) {
+					mapped.reasoning_content = msg.reasoning_content;
+				}
+				return mapped;
+			}),
 			stream,
 			return_progress: stream ? true : undefined,
 			tools: tools && tools.length > 0 ? tools : undefined
@@ -304,6 +280,107 @@ export class ChatService {
 		}
 	}
 
+	/**
+	 * Checks whether all server slots are currently idle (not processing any requests).
+	 * Queries the /slots endpoint (requires --slots flag on the server).
+	 * Returns true if all slots are idle, false if any is processing.
+	 * If the endpoint is unavailable or errors out, returns true (best-effort fallback).
+	 *
+	 * @param signal - Optional AbortSignal to cancel the request if needed
+	 * @param model - Optional model name to check slots for (required in ROUTER mode)
+	 * @returns {Promise<boolean>} Promise that resolves to true if all slots are idle, false if any is processing
+	 */
+	static async areAllSlotsIdle(model?: string | null, signal?: AbortSignal): Promise<boolean> {
+		try {
+			const url = model ? `./slots?model=${encodeURIComponent(model)}` : './slots';
+			const res = await fetch(url, { signal });
+			if (!res.ok) return true;
+
+			const slots: { is_processing: boolean }[] = await res.json();
+			return slots.every((s) => !s.is_processing);
+		} catch {
+			return true;
+		}
+	}
+
+	/**
+	 * Sends a fire-and-forget request to pre-encode the conversation in the server's KV cache.
+	 * After a response completes, this re-submits the full conversation
+	 * using n_predict=0 and stream=false so the server processes the prompt without generating tokens.
+	 * This warms the cache for the next turn, making it faster.
+	 *
+	 * When excludeReasoningFromContext is true, reasoning content is stripped from the messages
+	 * to match what sendMessage would send on the next turn (avoiding cache misses).
+	 * When false, reasoning_content is preserved so the cached prompt matches the next request.
+	 *
+	 * @param messages - The full conversation including the latest assistant response
+	 * @param model - Optional model name (required in ROUTER mode)
+	 * @param excludeReasoning - Whether to strip reasoning content (should match excludeReasoningFromContext setting)
+	 * @param signal - Optional AbortSignal to cancel the pre-encode request
+	 */
+	static async preEncode(
+		messages: ApiChatMessageData[] | (DatabaseMessage & { extra?: DatabaseMessageExtra[] })[],
+		model?: string | null,
+		excludeReasoning?: boolean,
+		signal?: AbortSignal
+	): Promise<void> {
+		const normalizedMessages: ApiChatMessageData[] = messages
+			.map((msg) => {
+				if ('id' in msg && 'convId' in msg && 'timestamp' in msg) {
+					return ChatService.convertDbMessageToApiChatMessageData(
+						msg as DatabaseMessage & { extra?: DatabaseMessageExtra[] }
+					);
+				}
+
+				return msg as ApiChatMessageData;
+			})
+			.filter((msg) => {
+				if (msg.role === MessageRole.SYSTEM) {
+					const content = typeof msg.content === 'string' ? msg.content : '';
+
+					return content.trim().length > 0;
+				}
+
+				return true;
+			});
+
+		const requestBody: Record<string, unknown> = {
+			messages: normalizedMessages.map((msg: ApiChatMessageData) => {
+				const mapped: Record<string, unknown> = {
+					role: msg.role,
+					content: excludeReasoning ? ChatService.stripReasoningContent(msg.content) : msg.content,
+					tool_calls: msg.tool_calls,
+					tool_call_id: msg.tool_call_id
+				};
+
+				if (!excludeReasoning && msg.reasoning_content) {
+					mapped.reasoning_content = msg.reasoning_content;
+				}
+
+				return mapped;
+			}),
+			stream: false,
+			n_predict: 0
+		};
+
+		if (model) {
+			requestBody.model = model;
+		}
+
+		try {
+			await fetch(`./v1/chat/completions`, {
+				method: 'POST',
+				headers: getJsonHeaders(),
+				body: JSON.stringify(requestBody),
+				signal
+			});
+		} catch (error) {
+			if (!isAbortError(error)) {
+				console.warn('[ChatService] Pre-encode request failed:', error);
+			}
+		}
+	}
+
 	/**
 	 *
 	 *
@@ -675,6 +752,10 @@ export class ChatService {
 				content: message.content
 			};
 
+			if (message.reasoningContent) {
+				result.reasoning_content = message.reasoningContent;
+			}
+
 			if (toolCalls && toolCalls.length > 0) {
 				result.tool_calls = toolCalls;
 			}
@@ -803,6 +884,9 @@ export class ChatService {
 			role: message.role as MessageRole,
 			content: contentParts
 		};
+		if (message.reasoningContent) {
+			result.reasoning_content = message.reasoningContent;
+		}
 		if (toolCalls && toolCalls.length > 0) {
 			result.tool_calls = toolCalls;
 		}
@@ -817,6 +901,28 @@ export class ChatService {
 	 *
 	 */
 
+	/**
+	 * Strips legacy inline reasoning content tags from message content.
+	 * Handles both plain string content and multipart content arrays.
+	 */
+	private static stripReasoningContent(
+		content: string | ApiChatMessageContentPart[]
+	): string | ApiChatMessageContentPart[] {
+		const stripFromString = (text: string): string =>
+			text.replace(LEGACY_AGENTIC_REGEX.REASONING_BLOCK, '').trim();
+
+		if (typeof content === 'string') {
+			return stripFromString(content);
+		}
+
+		return content.map((part) => {
+			if (part.type === ContentPartType.TEXT && part.text) {
+				return { ...part, text: stripFromString(part.text) };
+			}
+			return part;
+		});
+	}
+
 	/**
 	 * Parses error response and creates appropriate error with context information
 	 * @param response - HTTP response object
diff --git a/tools/server/webui/src/lib/services/database.service.ts b/tools/server/webui/src/lib/services/database.service.ts
index 53ec80c27ed76f0ff35f5edf67b1d29b24c53489..8f7b81fe97dcaf5d6975af4141d01e28084cd867 100644
--- a/tools/server/webui/src/lib/services/database.service.ts
+++ b/tools/server/webui/src/lib/services/database.service.ts
@@ -1,5 +1,6 @@
 import Dexie, { type EntityTable } from 'dexie';
-import { findDescendantMessages, uuid } from '$lib/utils';
+import { findDescendantMessages, uuid, filterByLeafNodeId } from '$lib/utils';
+import type { McpServerOverride } from '$lib/types/database';
 
 class LlamacppDatabase extends Dexie {
 	conversations!: EntityTable<DatabaseConversation, string>;
@@ -173,8 +174,47 @@ export class DatabaseService {
 	 *
 	 * @param id - Conversation ID
 	 */
-	static async deleteConversation(id: string): Promise<void> {
+	static async deleteConversation(
+		id: string,
+		options?: { deleteWithForks?: boolean }
+	): Promise<void> {
 		await db.transaction('rw', [db.conversations, db.messages], async () => {
+			if (options?.deleteWithForks) {
+				// Recursively collect all descendant IDs
+				const idsToDelete: string[] = [];
+				const queue = [id];
+
+				while (queue.length > 0) {
+					const parentId = queue.pop()!;
+					const children = await db.conversations
+						.filter((c) => c.forkedFromConversationId === parentId)
+						.toArray();
+
+					for (const child of children) {
+						idsToDelete.push(child.id);
+						queue.push(child.id);
+					}
+				}
+
+				for (const forkId of idsToDelete) {
+					await db.conversations.delete(forkId);
+					await db.messages.where('convId').equals(forkId).delete();
+				}
+			} else {
+				// Reparent direct children to deleted conv's parent
+				const conv = await db.conversations.get(id);
+				const newParent = conv?.forkedFromConversationId;
+				const directChildren = await db.conversations
+					.filter((c) => c.forkedFromConversationId === id)
+					.toArray();
+
+				for (const child of directChildren) {
+					await db.conversations.update(child.id, {
+						forkedFromConversationId: newParent ?? undefined
+					});
+				}
+			}
+
 			await db.conversations.delete(id);
 			await db.messages.where('convId').equals(id).delete();
 		});
@@ -364,4 +404,88 @@ export class DatabaseService {
 			return { imported: importedCount, skipped: skippedCount };
 		});
 	}
+
+	/**
+	 *
+	 *
+	 * Forking
+	 *
+	 *
+	 */
+
+	/**
+	 * Forks a conversation at a specific message, creating a new conversation
+	 * containing all messages from the root up to (and including) the target message.
+	 *
+	 * @param sourceConvId - The source conversation ID
+	 * @param atMessageId - The message ID to fork at (the new conversation ends here)
+	 * @param options - Fork options (name and whether to include attachments)
+	 * @returns The newly created conversation
+	 */
+	static async forkConversation(
+		sourceConvId: string,
+		atMessageId: string,
+		options: { name: string; includeAttachments: boolean }
+	): Promise<DatabaseConversation> {
+		return await db.transaction('rw', [db.conversations, db.messages], async () => {
+			const sourceConv = await db.conversations.get(sourceConvId);
+			if (!sourceConv) {
+				throw new Error(`Source conversation ${sourceConvId} not found`);
+			}
+
+			const allMessages = await db.messages.where('convId').equals(sourceConvId).toArray();
+
+			const pathMessages = filterByLeafNodeId(allMessages, atMessageId, true) as DatabaseMessage[];
+			if (pathMessages.length === 0) {
+				throw new Error(`Could not resolve message path to ${atMessageId}`);
+			}
+
+			const idMap = new Map<string, string>();
+
+			for (const msg of pathMessages) {
+				idMap.set(msg.id, uuid());
+			}
+
+			const newConvId = uuid();
+			const clonedMessages: DatabaseMessage[] = pathMessages.map((msg) => {
+				const newId = idMap.get(msg.id)!;
+				const newParent = msg.parent ? (idMap.get(msg.parent) ?? null) : null;
+				const newChildren = msg.children
+					.filter((childId: string) => idMap.has(childId))
+					.map((childId: string) => idMap.get(childId)!);
+
+				return {
+					...msg,
+					id: newId,
+					convId: newConvId,
+					parent: newParent,
+					children: newChildren,
+					extra: options.includeAttachments ? msg.extra : undefined
+				};
+			});
+
+			const lastClonedMessage = clonedMessages[clonedMessages.length - 1];
+			const newConv: DatabaseConversation = {
+				id: newConvId,
+				name: options.name,
+				lastModified: Date.now(),
+				currNode: lastClonedMessage.id,
+				forkedFromConversationId: sourceConvId,
+				mcpServerOverrides: sourceConv.mcpServerOverrides
+					? sourceConv.mcpServerOverrides.map((o: McpServerOverride) => ({
+							serverId: o.serverId,
+							enabled: o.enabled
+						}))
+					: undefined
+			};
+
+			await db.conversations.add(newConv);
+
+			for (const msg of clonedMessages) {
+				await db.messages.add(msg);
+			}
+
+			return newConv;
+		});
+	}
 }
diff --git a/tools/server/webui/src/lib/services/mcp.service.ts b/tools/server/webui/src/lib/services/mcp.service.ts
index b38d18676d5243e3db23f13e7a633b23d5ffc6ca..69297df95780ea85a3e67da8442bcba93d1258bf 100644
--- a/tools/server/webui/src/lib/services/mcp.service.ts
+++ b/tools/server/webui/src/lib/services/mcp.service.ts
@@ -15,7 +15,8 @@ import type { Transport } from '@modelcontextprotocol/sdk/shared/transport.js';
 import {
 	DEFAULT_MCP_CONFIG,
 	DEFAULT_CLIENT_VERSION,
-	DEFAULT_IMAGE_MIME_TYPE
+	DEFAULT_IMAGE_MIME_TYPE,
+	MCP_PARTIAL_REDACT_HEADERS
 } from '$lib/constants';
 import {
 	MCPConnectionPhase,
@@ -39,7 +40,22 @@ import type {
 	MCPResourceContent,
 	MCPReadResourceResult
 } from '$lib/types';
-import { buildProxiedUrl, throwIfAborted, isAbortError, createBase64DataUrl } from '$lib/utils';
+import {
+	buildProxiedUrl,
+	buildProxiedHeaders,
+	getAuthHeaders,
+	sanitizeHeaders,
+	throwIfAborted,
+	isAbortError,
+	createBase64DataUrl,
+	getRequestUrl,
+	getRequestMethod,
+	getRequestBody,
+	summarizeRequestBody,
+	formatDiagnosticErrorMessage,
+	extractJsonRpcMethods,
+	type RequestBodySummary
+} from '$lib/utils';
 
 interface ToolResultContentItem {
 	type: string;
@@ -55,6 +71,16 @@ interface ToolCallResult {
 	_meta?: Record<string, unknown>;
 }
 
+interface DiagnosticRequestDetails {
+	url: string;
+	method: string;
+	credentials?: RequestCredentials;
+	mode?: RequestMode;
+	headers: Record<string, string>;
+	body: RequestBodySummary;
+	jsonRpcMethods?: string[];
+}
+
 export class MCPService {
 	/**
 	 * Create a connection log entry for phase tracking.
@@ -80,6 +106,225 @@ export class MCPService {
 		};
 	}
 
+	private static createDiagnosticRequestDetails(
+		input: RequestInfo | URL,
+		init: RequestInit | undefined,
+		baseInit: RequestInit,
+		requestHeaders: Headers,
+		extraRedactedHeaders?: Iterable<string>
+	): DiagnosticRequestDetails {
+		const body = getRequestBody(input, init);
+		const details: DiagnosticRequestDetails = {
+			url: getRequestUrl(input),
+			method: getRequestMethod(input, init, baseInit).toUpperCase(),
+			credentials: init?.credentials ?? baseInit.credentials,
+			mode: init?.mode ?? baseInit.mode,
+			headers: sanitizeHeaders(requestHeaders, extraRedactedHeaders, MCP_PARTIAL_REDACT_HEADERS),
+			body: summarizeRequestBody(body)
+		};
+		const jsonRpcMethods = extractJsonRpcMethods(body);
+
+		if (jsonRpcMethods) {
+			details.jsonRpcMethods = jsonRpcMethods;
+		}
+
+		return details;
+	}
+
+	private static summarizeError(error: unknown): Record<string, unknown> {
+		if (error instanceof Error) {
+			return {
+				name: error.name,
+				message: error.message,
+				cause:
+					error.cause instanceof Error
+						? { name: error.cause.name, message: error.cause.message }
+						: error.cause,
+				stack: error.stack?.split('\n').slice(0, 6).join('\n')
+			};
+		}
+
+		return { value: String(error) };
+	}
+
+	private static getBrowserContext(
+		targetUrl: URL,
+		useProxy: boolean
+	): Record<string, unknown> | undefined {
+		if (typeof window === 'undefined') {
+			return undefined;
+		}
+
+		return {
+			location: window.location.href,
+			origin: window.location.origin,
+			protocol: window.location.protocol,
+			isSecureContext: window.isSecureContext,
+			targetOrigin: targetUrl.origin,
+			targetProtocol: targetUrl.protocol,
+			sameOrigin: window.location.origin === targetUrl.origin,
+			useProxy
+		};
+	}
+
+	private static getConnectionHints(
+		targetUrl: URL,
+		config: MCPServerConfig,
+		error: unknown
+	): string[] {
+		const hints: string[] = [];
+		const message = error instanceof Error ? error.message : String(error);
+		const headerNames = Object.keys(config.headers ?? {});
+
+		if (typeof window !== 'undefined') {
+			if (
+				window.location.protocol === 'https:' &&
+				targetUrl.protocol === 'http:' &&
+				!config.useProxy
+			) {
+				hints.push(
+					'The page is running over HTTPS but the MCP server is HTTP. Browsers often block this as mixed content; enable the proxy or use HTTPS/WSS for the MCP server.'
+				);
+			}
+
+			if (window.location.origin !== targetUrl.origin && !config.useProxy) {
+				hints.push(
+					'This is a cross-origin browser request. If the server is reachable from curl or Node but not from the browser, missing CORS headers are the most likely cause.'
+				);
+			}
+		}
+
+		if (headerNames.length > 0) {
+			hints.push(
+				`Custom request headers are configured (${headerNames.join(', ')}). That triggers a CORS preflight, so the server must allow OPTIONS and include the matching Access-Control-Allow-Headers response.`
+			);
+		}
+
+		if (config.credentials && config.credentials !== 'omit') {
+			hints.push(
+				'Credentials are enabled for this connection. Cross-origin credentialed requests need Access-Control-Allow-Credentials: true and cannot use a wildcard Access-Control-Allow-Origin.'
+			);
+		}
+
+		if (message.includes('Failed to fetch')) {
+			hints.push(
+				'"Failed to fetch" is a browser-level network failure. Common causes are CORS rejection, mixed-content blocking, certificate/TLS errors, DNS failures, or nothing listening on the target port.'
+			);
+		}
+
+		return hints;
+	}
+
+	private static createDiagnosticFetch(
+		serverName: string,
+		config: MCPServerConfig,
+		baseInit: RequestInit,
+		targetUrl: URL,
+		useProxy: boolean,
+		onLog?: (log: MCPConnectionLog) => void
+	): {
+		fetch: typeof fetch;
+		disable: () => void;
+	} {
+		let enabled = true;
+		const logIfEnabled = (log: MCPConnectionLog) => {
+			if (enabled) {
+				onLog?.(log);
+			}
+		};
+
+		return {
+			fetch: async (input, init) => {
+				const startedAt = performance.now();
+				const requestHeaders = new Headers(baseInit.headers);
+
+				if (typeof Request !== 'undefined' && input instanceof Request) {
+					for (const [key, value] of input.headers.entries()) {
+						requestHeaders.set(key, value);
+					}
+				}
+
+				if (init?.headers) {
+					for (const [key, value] of new Headers(init.headers).entries()) {
+						requestHeaders.set(key, value);
+					}
+				}
+
+				const request = this.createDiagnosticRequestDetails(
+					input,
+					init,
+					baseInit,
+					requestHeaders,
+					Object.keys(config.headers ?? {})
+				);
+				const { method, url } = request;
+
+				logIfEnabled(
+					this.createLog(
+						MCPConnectionPhase.INITIALIZING,
+						`HTTP ${method} ${url}`,
+						MCPLogLevel.INFO,
+						{
+							serverName,
+							request
+						}
+					)
+				);
+
+				try {
+					const response = await fetch(input, {
+						...baseInit,
+						...init,
+						headers: requestHeaders
+					});
+					const durationMs = Math.round(performance.now() - startedAt);
+
+					logIfEnabled(
+						this.createLog(
+							MCPConnectionPhase.INITIALIZING,
+							`HTTP ${response.status} ${method} ${url} (${durationMs}ms)`,
+							response.ok ? MCPLogLevel.INFO : MCPLogLevel.WARN,
+							{
+								response: {
+									url,
+									status: response.status,
+									statusText: response.statusText,
+									headers: sanitizeHeaders(response.headers, undefined, MCP_PARTIAL_REDACT_HEADERS),
+									durationMs
+								}
+							}
+						)
+					);
+
+					return response;
+				} catch (error) {
+					const durationMs = Math.round(performance.now() - startedAt);
+
+					logIfEnabled(
+						this.createLog(
+							MCPConnectionPhase.ERROR,
+							`HTTP ${method} ${url} failed: ${formatDiagnosticErrorMessage(error)}`,
+							MCPLogLevel.ERROR,
+							{
+								serverName,
+								request,
+								error: this.summarizeError(error),
+								browser: this.getBrowserContext(targetUrl, useProxy),
+								hints: this.getConnectionHints(targetUrl, config, error),
+								durationMs
+							}
+						)
+					);
+
+					throw error;
+				}
+			},
+			disable: () => {
+				enabled = false;
+			}
+		};
+	}
+
 	/**
 	 * Detect if an error indicates an expired/invalidated MCP session.
 	 * Per MCP spec 2025-11-25: HTTP 404 means session invalidated, client MUST
@@ -106,9 +351,14 @@ export class MCPService {
 	 * @returns Object containing the created transport and the transport type used
 	 * @throws {Error} If url is missing, WebSocket + proxy combination, or all transports fail
 	 */
-	static createTransport(config: MCPServerConfig): {
+	static createTransport(
+		serverName: string,
+		config: MCPServerConfig,
+		onLog?: (log: MCPConnectionLog) => void
+	): {
 		transport: Transport;
 		type: MCPTransportType;
+		stopPhaseLogging: () => void;
 	} {
 		if (!config.url) {
 			throw new Error('MCP server configuration is missing url');
@@ -118,7 +368,14 @@ export class MCPService {
 		const requestInit: RequestInit = {};
 
 		if (config.headers) {
-			requestInit.headers = config.headers;
+			requestInit.headers = config.useProxy ? buildProxiedHeaders(config.headers) : config.headers;
+		}
+
+		if (useProxy) {
+			requestInit.headers = {
+				...getAuthHeaders(),
+				...(requestInit.headers as Record<string, string>)
+			};
 		}
 
 		if (config.credentials) {
@@ -140,11 +397,20 @@ export class MCPService {
 
 			return {
 				transport: new WebSocketClientTransport(url),
-				type: MCPTransportType.WEBSOCKET
+				type: MCPTransportType.WEBSOCKET,
+				stopPhaseLogging: () => {}
 			};
 		}
 
 		const url = useProxy ? buildProxiedUrl(config.url) : new URL(config.url);
+		const { fetch: diagnosticFetch, disable: stopPhaseLogging } = this.createDiagnosticFetch(
+			serverName,
+			config,
+			requestInit,
+			url,
+			useProxy,
+			onLog
+		);
 
 		if (useProxy && import.meta.env.DEV) {
 			console.log(`[MCPService] Using CORS proxy for ${config.url} -> ${url.href}`);
@@ -157,17 +423,24 @@ export class MCPService {
 
 			return {
 				transport: new StreamableHTTPClientTransport(url, {
-					requestInit
+					requestInit,
+					fetch: diagnosticFetch
 				}),
-				type: MCPTransportType.STREAMABLE_HTTP
+				type: MCPTransportType.STREAMABLE_HTTP,
+				stopPhaseLogging
 			};
 		} catch (httpError) {
 			console.warn(`[MCPService] StreamableHTTP failed, trying SSE transport...`, httpError);
 
 			try {
 				return {
-					transport: new SSEClientTransport(url, { requestInit }),
-					type: MCPTransportType.SSE
+					transport: new SSEClientTransport(url, {
+						requestInit,
+						fetch: diagnosticFetch,
+						eventSourceInit: { fetch: diagnosticFetch }
+					}),
+					type: MCPTransportType.SSE,
+					stopPhaseLogging
 				};
 			} catch (sseError) {
 				const httpMsg = httpError instanceof Error ? httpError.message : String(httpError);
@@ -249,7 +522,11 @@ export class MCPService {
 			console.log(`[MCPService][${serverName}] Creating transport...`);
 		}
 
-		const { transport, type: transportType } = this.createTransport(serverConfig);
+		const {
+			transport,
+			type: transportType,
+			stopPhaseLogging
+		} = this.createTransport(serverName, serverConfig, (log) => onPhase?.(log.phase, log));
 
 		// Setup WebSocket reconnection handler
 		if (transportType === MCPTransportType.WEBSOCKET) {
@@ -280,6 +557,24 @@ export class MCPService {
 			}
 		);
 
+		const runtimeErrorHandler = (error: Error) => {
+			console.error(`[MCPService][${serverName}] Protocol error after initialize:`, error);
+		};
+
+		client.onerror = (error) => {
+			onPhase?.(
+				MCPConnectionPhase.ERROR,
+				this.createLog(
+					MCPConnectionPhase.ERROR,
+					`Protocol error: ${error.message}`,
+					MCPLogLevel.ERROR,
+					{
+						error: this.summarizeError(error)
+					}
+				)
+			);
+		};
+
 		// Phase: Initializing
 		onPhase?.(
 			MCPConnectionPhase.INITIALIZING,
@@ -287,7 +582,49 @@ export class MCPService {
 		);
 
 		console.log(`[MCPService][${serverName}] Connecting to server...`);
-		await client.connect(transport);
+		try {
+			await client.connect(transport);
+			// Transport diagnostics are only for the initial handshake, not long-lived traffic.
+			stopPhaseLogging();
+			client.onerror = runtimeErrorHandler;
+		} catch (error) {
+			client.onerror = runtimeErrorHandler;
+			const url =
+				(serverConfig.useProxy ?? false)
+					? buildProxiedUrl(serverConfig.url)
+					: new URL(serverConfig.url);
+
+			onPhase?.(
+				MCPConnectionPhase.ERROR,
+				this.createLog(
+					MCPConnectionPhase.ERROR,
+					`Connection failed during initialize: ${
+						error instanceof Error ? error.message : String(error)
+					}`,
+					MCPLogLevel.ERROR,
+					{
+						error: this.summarizeError(error),
+						config: {
+							serverName,
+							configuredUrl: serverConfig.url,
+							effectiveUrl: url.href,
+							transportType,
+							useProxy: serverConfig.useProxy ?? false,
+							headers: sanitizeHeaders(
+								serverConfig.headers,
+								Object.keys(serverConfig.headers ?? {}),
+								MCP_PARTIAL_REDACT_HEADERS
+							),
+							credentials: serverConfig.credentials
+						},
+						browser: this.getBrowserContext(url, serverConfig.useProxy ?? false),
+						hints: this.getConnectionHints(url, serverConfig, error)
+					}
+				)
+			);
+
+			throw error;
+		}
 
 		const serverVersion = client.getServerVersion();
 		const serverCapabilities = client.getServerCapabilities();
diff --git a/tools/server/webui/src/lib/services/models.service.ts b/tools/server/webui/src/lib/services/models.service.ts
index de90c48cf00f72e0a35bd6364ba18069908ce518..209bd7caba5239d7565d3cfe92945787c979f35a 100644
--- a/tools/server/webui/src/lib/services/models.service.ts
+++ b/tools/server/webui/src/lib/services/models.service.ts
@@ -2,9 +2,11 @@ import { ServerModelStatus } from '$lib/enums';
 import { apiFetch, apiPost } from '$lib/utils';
 import type { ParsedModelId } from '$lib/types/models';
 import {
-	MODEL_FORMAT_SEGMENT_RE,
+	MODEL_QUANTIZATION_SEGMENT_RE,
+	MODEL_CUSTOM_QUANTIZATION_PREFIX_RE,
 	MODEL_PARAMS_RE,
 	MODEL_ACTIVATED_PARAMS_RE,
+	MODEL_IGNORED_SEGMENTS,
 	MODEL_ID_NOT_FOUND,
 	MODEL_ID_ORG_SEPARATOR,
 	MODEL_ID_SEGMENT_SEPARATOR,
@@ -119,8 +121,9 @@ export class ModelsService {
 	/**
 	 * Parse a model ID string into its structured components.
 	 *
-	 * Handles the convention:
-	 *   `<org>/<ModelName>-<Parameters>(-<ActivatedParameters>)-<Format>:<QuantizationType>`
+	 * Handles conventions like:
+	 *   `<org>/<ModelName>-<Parameters>(-<ActivatedParameters>)(-<Tags>)(-<Quantization>):<Quantization>`
+	 *   `<ModelName>.<Quantization>` (dot-separated quantization, e.g. `model.Q4_K_M`)
 	 *
 	 * @param modelId - Raw model identifier string
 	 * @returns Structured {@link ParsedModelId} with all detected fields
@@ -132,11 +135,11 @@ export class ModelsService {
 			modelName: null,
 			params: null,
 			activatedParams: null,
-			format: null,
 			quantization: null,
 			tags: []
 		};
 
+		// 1. Extract colon-separated quantization (e.g. `model:Q4_K_M`)
 		const colonIdx = modelId.indexOf(MODEL_ID_QUANTIZATION_SEPARATOR);
 		let modelPath: string;
 
@@ -147,6 +150,7 @@ export class ModelsService {
 			modelPath = modelId;
 		}
 
+		// 2. Extract org name (e.g. `org/model` -> org = "org")
 		const slashIdx = modelPath.indexOf(MODEL_ID_ORG_SEPARATOR);
 		let modelStr: string;
 
@@ -157,37 +161,66 @@ export class ModelsService {
 			modelStr = modelPath;
 		}
 
-		const segments = modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);
+		// 3. Handle dot-separated quantization (e.g. `model-name.Q4_K_M`)
+		const dotIdx = modelStr.lastIndexOf('.');
+
+		if (dotIdx !== MODEL_ID_NOT_FOUND && !result.quantization) {
+			const afterDot = modelStr.slice(dotIdx + 1);
 
-		if (segments.length > 0 && MODEL_FORMAT_SEGMENT_RE.test(segments[segments.length - 1])) {
-			result.format = segments.pop()!;
+			if (MODEL_QUANTIZATION_SEGMENT_RE.test(afterDot)) {
+				result.quantization = afterDot;
+				modelStr = modelStr.slice(0, dotIdx);
+			}
 		}
 
-		const paramsRe = MODEL_PARAMS_RE;
-		const activatedParamsRe = MODEL_ACTIVATED_PARAMS_RE;
+		const segments = modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);
 
+		// 4. Detect trailing quantization from dash-separated segments
+		//    Handle UD-prefixed quantization (e.g. `UD-Q8_K_XL`) and
+		//    standalone quantization (e.g. `Q4_K_M`, `BF16`, `F16`, `MXFP4`)
+		if (!result.quantization && segments.length > 1) {
+			const last = segments[segments.length - 1];
+			const secondLast = segments.length > 2 ? segments[segments.length - 2] : null;
+
+			if (MODEL_QUANTIZATION_SEGMENT_RE.test(last)) {
+				if (secondLast && MODEL_CUSTOM_QUANTIZATION_PREFIX_RE.test(secondLast)) {
+					result.quantization = `${secondLast}-${last}`;
+					segments.splice(segments.length - 2, 2);
+				} else {
+					result.quantization = last;
+					segments.pop();
+				}
+			}
+		}
+
+		// 5. Find params and activated params
 		let paramsIdx = MODEL_ID_NOT_FOUND;
 		let activatedParamsIdx = MODEL_ID_NOT_FOUND;
 
 		for (let i = 0; i < segments.length; i++) {
 			const seg = segments[i];
-			if (paramsIdx === -1 && paramsRe.test(seg)) {
+
+			if (paramsIdx === MODEL_ID_NOT_FOUND && MODEL_PARAMS_RE.test(seg)) {
 				paramsIdx = i;
 				result.params = seg.toUpperCase();
-			} else if (activatedParamsRe.test(seg)) {
+			} else if (paramsIdx !== MODEL_ID_NOT_FOUND && MODEL_ACTIVATED_PARAMS_RE.test(seg)) {
 				activatedParamsIdx = i;
 				result.activatedParams = seg.toUpperCase();
 			}
 		}
 
+		// 6. Model name = segments before params; tags = remaining segments after params
 		const pivotIdx = paramsIdx !== MODEL_ID_NOT_FOUND ? paramsIdx : segments.length;
 
 		result.modelName = segments.slice(0, pivotIdx).join(MODEL_ID_SEGMENT_SEPARATOR) || null;
 
 		if (paramsIdx !== MODEL_ID_NOT_FOUND) {
-			result.tags = segments
-				.slice(paramsIdx + 1)
-				.filter((_, relIdx) => paramsIdx + 1 + relIdx !== activatedParamsIdx);
+			result.tags = segments.slice(paramsIdx + 1).filter((_, relIdx) => {
+				const absIdx = paramsIdx + 1 + relIdx;
+				if (absIdx === activatedParamsIdx) return false;
+
+				return !MODEL_IGNORED_SEGMENTS.has(segments[absIdx].toUpperCase());
+			});
 		}
 
 		return result;
diff --git a/tools/server/webui/src/lib/services/parameter-sync.service.spec.ts b/tools/server/webui/src/lib/services/parameter-sync.service.spec.ts
index ce91de7410d0b33e7f98b5f7d23ea4d9af553d97..cbb2605e143385e986eec94dfc2710013b3cf9f9 100644
--- a/tools/server/webui/src/lib/services/parameter-sync.service.spec.ts
+++ b/tools/server/webui/src/lib/services/parameter-sync.service.spec.ts
@@ -51,7 +51,7 @@ describe('ParameterSyncService', () => {
 				chat_format: '',
 				reasoning_format: '',
 				reasoning_in_content: false,
-				thinking_forced_open: false,
+				generation_prompt: '',
 				'speculative.n_max': 0,
 				'speculative.n_min': 0,
 				'speculative.p_min': 0.0,
@@ -116,7 +116,7 @@ describe('ParameterSyncService', () => {
 				chat_format: '',
 				reasoning_format: '',
 				reasoning_in_content: false,
-				thinking_forced_open: false,
+				generation_prompt: '',
 				'speculative.n_max': 0,
 				'speculative.n_min': 0,
 				'speculative.p_min': 0.0,
diff --git a/tools/server/webui/src/lib/services/parameter-sync.service.ts b/tools/server/webui/src/lib/services/parameter-sync.service.ts
index 1acb5ce453d6abc828baa3ea842e33792f2df72b..c2dedbf1016cfc2b1d4be69d7bcb8b1b695c0610 100644
--- a/tools/server/webui/src/lib/services/parameter-sync.service.ts
+++ b/tools/server/webui/src/lib/services/parameter-sync.service.ts
@@ -88,6 +88,12 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 	},
 	{ key: 'max_tokens', serverKey: 'max_tokens', type: SyncableParameterType.NUMBER, canSync: true },
 	{ key: 'samplers', serverKey: 'samplers', type: SyncableParameterType.STRING, canSync: true },
+	{
+		key: 'backend_sampling',
+		serverKey: 'backend_sampling',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
 	{
 		key: 'pasteLongTextToFileLen',
 		serverKey: 'pasteLongTextToFileLen',
@@ -124,6 +130,12 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 		type: SyncableParameterType.BOOLEAN,
 		canSync: true
 	},
+	{
+		key: 'titleGenerationUseFirstLine',
+		serverKey: 'titleGenerationUseFirstLine',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
 	{
 		key: 'disableAutoScroll',
 		serverKey: 'disableAutoScroll',
@@ -159,6 +171,86 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 		serverKey: 'fullHeightCodeBlocks',
 		type: SyncableParameterType.BOOLEAN,
 		canSync: true
+	},
+	{
+		key: 'systemMessage',
+		serverKey: 'systemMessage',
+		type: SyncableParameterType.STRING,
+		canSync: true
+	},
+	{
+		key: 'showSystemMessage',
+		serverKey: 'showSystemMessage',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{ key: 'theme', serverKey: 'theme', type: SyncableParameterType.STRING, canSync: true },
+	{
+		key: 'copyTextAttachmentsAsPlainText',
+		serverKey: 'copyTextAttachmentsAsPlainText',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'showRawOutputSwitch',
+		serverKey: 'showRawOutputSwitch',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'alwaysShowSidebarOnDesktop',
+		serverKey: 'alwaysShowSidebarOnDesktop',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'autoShowSidebarOnNewChat',
+		serverKey: 'autoShowSidebarOnNewChat',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'showRawModelNames',
+		serverKey: 'showRawModelNames',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{ key: 'mcpServers', serverKey: 'mcpServers', type: SyncableParameterType.STRING, canSync: true },
+	{
+		key: 'agenticMaxTurns',
+		serverKey: 'agenticMaxTurns',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'agenticMaxToolPreviewLines',
+		serverKey: 'agenticMaxToolPreviewLines',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'showToolCallInProgress',
+		serverKey: 'showToolCallInProgress',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'alwaysShowAgenticTurns',
+		serverKey: 'alwaysShowAgenticTurns',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'excludeReasoningFromContext',
+		serverKey: 'excludeReasoningFromContext',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'sendOnEnter',
+		serverKey: 'sendOnEnter',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
 	}
 ];
 
diff --git a/tools/server/webui/src/lib/stores/agentic.svelte.ts b/tools/server/webui/src/lib/stores/agentic.svelte.ts
index f8834f9df3f9229ee17b0915f8bab9b12469e16b..2b6960249996df56a9da58b7b7771f13ff7386e0 100644
--- a/tools/server/webui/src/lib/stores/agentic.svelte.ts
+++ b/tools/server/webui/src/lib/stores/agentic.svelte.ts
@@ -7,6 +7,10 @@
  * - Session state management
  * - Turn limit enforcement
  *
+ * Each agentic turn produces separate DB messages:
+ * - One assistant message per LLM turn (with tool_calls if any)
+ * - One tool result message per tool call execution
+ *
  * **Architecture & Relationships:**
  * - **ChatService**: Stateless API layer (sendMessage, streaming)
  * - **mcpStore**: MCP connection management and tool execution
@@ -16,7 +20,6 @@
  * @see mcpStore in stores/mcp.svelte.ts for MCP operations
  */
 
-import { SvelteMap } from 'svelte/reactivity';
 import { ChatService } from '$lib/services';
 import { config } from '$lib/stores/settings.svelte';
 import { mcpStore } from '$lib/stores/mcp.svelte';
@@ -24,7 +27,6 @@ import { modelsStore } from '$lib/stores/models.svelte';
 import { isAbortError } from '$lib/utils';
 import {
 	DEFAULT_AGENTIC_CONFIG,
-	AGENTIC_TAGS,
 	NEWLINE_SEPARATOR,
 	TURN_LIMIT_MESSAGE,
 	LLM_ERROR_BLOCK_START,
@@ -193,17 +195,6 @@ class AgenticStore {
 
 	async runAgenticFlow(params: AgenticFlowParams): Promise<AgenticFlowResult> {
 		const { conversationId, messages, options = {}, callbacks, signal, perChatOverrides } = params;
-		const {
-			onChunk,
-			onReasoningChunk,
-			onToolCallChunk,
-			onAttachments,
-			onModel,
-			onComplete,
-			onError,
-			onTimings,
-			onTurnComplete
-		} = callbacks;
 
 		const agenticConfig = this.getConfig(config(), perChatOverrides);
 		if (!agenticConfig.enabled) return { handled: false };
@@ -253,24 +244,14 @@ class AgenticStore {
 				options,
 				tools,
 				agenticConfig,
-				callbacks: {
-					onChunk,
-					onReasoningChunk,
-					onToolCallChunk,
-					onAttachments,
-					onModel,
-					onComplete,
-					onError,
-					onTimings,
-					onTurnComplete
-				},
+				callbacks,
 				signal
 			});
 			return { handled: true };
 		} catch (error) {
 			const normalizedError = error instanceof Error ? error : new Error(String(error));
 			this.updateSession(conversationId, { lastError: normalizedError });
-			onError?.(normalizedError);
+			callbacks.onError?.(normalizedError);
 			return { handled: true, error: normalizedError };
 		} finally {
 			this.updateSession(conversationId, { isRunning: false });
@@ -295,17 +276,20 @@ class AgenticStore {
 		const {
 			onChunk,
 			onReasoningChunk,
-			onToolCallChunk,
+			onToolCallsStreaming,
 			onAttachments,
 			onModel,
-			onComplete,
+			onAssistantTurnComplete,
+			createToolResultMessage,
+			createAssistantMessage,
+			onFlowComplete,
 			onTimings,
 			onTurnComplete
 		} = callbacks;
 
 		const sessionMessages: AgenticMessage[] = toAgenticMessages(messages);
-		const allToolCalls: ApiChatCompletionToolCall[] = [];
 		let capturedTimings: ChatMessageTimings | undefined;
+		let totalToolCallCount = 0;
 
 		const agenticTimings: ChatMessageAgenticTimings = {
 			turns: 0,
@@ -316,12 +300,7 @@ class AgenticStore {
 			llm: { predicted_n: 0, predicted_ms: 0, prompt_n: 0, prompt_ms: 0 }
 		};
 		const maxTurns = agenticConfig.maxTurns;
-		const maxToolPreviewLines = agenticConfig.maxToolPreviewLines;
 
-		// Resolve effective model for vision capability checks.
-		// In ROUTER mode, options.model is always set by the caller.
-		// In MODEL mode, options.model is undefined; use the single loaded model
-		// which carries modalities bridged from /props.
 		const effectiveModel = options.model || modelsStore.models[0]?.model || '';
 
 		for (let turn = 0; turn < maxTurns; turn++) {
@@ -329,23 +308,20 @@ class AgenticStore {
 			agenticTimings.turns = turn + 1;
 
 			if (signal?.aborted) {
-				onComplete?.(
-					'',
-					undefined,
-					this.buildFinalTimings(capturedTimings, agenticTimings),
-					undefined
-				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				return;
 			}
 
+			// For turns > 0, create a new assistant message via callback
+			if (turn > 0 && createAssistantMessage) {
+				await createAssistantMessage();
+			}
+
 			let turnContent = '';
+			let turnReasoningContent = '';
 			let turnToolCalls: ApiChatCompletionToolCall[] = [];
 			let lastStreamingToolCallName = '';
 			let lastStreamingToolCallArgsLength = 0;
-			const emittedToolCallStates = new SvelteMap<
-				number,
-				{ emittedOnce: boolean; lastArgs: string }
-			>();
 			let turnTimings: ChatMessageTimings | undefined;
 
 			const turnStats: ChatMessageAgenticTurnStats = {
@@ -366,30 +342,15 @@ class AgenticStore {
 							turnContent += chunk;
 							onChunk?.(chunk);
 						},
-						onReasoningChunk,
+						onReasoningChunk: (chunk: string) => {
+							turnReasoningContent += chunk;
+							onReasoningChunk?.(chunk);
+						},
 						onToolCallChunk: (serialized: string) => {
 							try {
 								turnToolCalls = JSON.parse(serialized) as ApiChatCompletionToolCall[];
-								for (let i = 0; i < turnToolCalls.length; i++) {
-									const toolCall = turnToolCalls[i];
-									const toolName = toolCall.function?.name ?? '';
-									const toolArgs = toolCall.function?.arguments ?? '';
-									const state = emittedToolCallStates.get(i) || {
-										emittedOnce: false,
-										lastArgs: ''
-									};
-									if (!state.emittedOnce) {
-										const output = `\n\n${AGENTIC_TAGS.TOOL_CALL_START}\n${AGENTIC_TAGS.TOOL_NAME_PREFIX}${toolName}${AGENTIC_TAGS.TAG_SUFFIX}\n${AGENTIC_TAGS.TOOL_ARGS_START}\n${toolArgs}`;
-										onChunk?.(output);
-										state.emittedOnce = true;
-										state.lastArgs = toolArgs;
-										emittedToolCallStates.set(i, state);
-									} else if (toolArgs.length > state.lastArgs.length) {
-										onChunk?.(toolArgs.slice(state.lastArgs.length));
-										state.lastArgs = toolArgs;
-										emittedToolCallStates.set(i, state);
-									}
-								}
+								onToolCallsStreaming?.(turnToolCalls);
+
 								if (turnToolCalls.length > 0 && turnToolCalls[0]?.function) {
 									const name = turnToolCalls[0].function.name || '';
 									const args = turnToolCalls[0].function.arguments || '';
@@ -442,77 +403,85 @@ class AgenticStore {
 				}
 			} catch (error) {
 				if (signal?.aborted) {
-					onComplete?.(
-						'',
-						undefined,
+					// Save whatever we have for this turn before exiting
+					await onAssistantTurnComplete?.(
+						turnContent,
+						turnReasoningContent || undefined,
 						this.buildFinalTimings(capturedTimings, agenticTimings),
 						undefined
 					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 				const normalizedError = error instanceof Error ? error : new Error('LLM stream error');
+				// Save error as content in the current turn
 				onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`);
-				onComplete?.(
-					'',
-					undefined,
+				await onAssistantTurnComplete?.(
+					turnContent + `${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,
+					turnReasoningContent || undefined,
 					this.buildFinalTimings(capturedTimings, agenticTimings),
 					undefined
 				);
-
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				throw normalizedError;
 			}
 
+			// No tool calls = final turn, save and complete
 			if (turnToolCalls.length === 0) {
 				agenticTimings.perTurn!.push(turnStats);
 
-				onComplete?.(
-					'',
-					undefined,
-					this.buildFinalTimings(capturedTimings, agenticTimings),
+				const finalTimings = this.buildFinalTimings(capturedTimings, agenticTimings);
+
+				await onAssistantTurnComplete?.(
+					turnContent,
+					turnReasoningContent || undefined,
+					finalTimings,
 					undefined
 				);
 
+				if (finalTimings) onTurnComplete?.(finalTimings);
+
+				onFlowComplete?.(finalTimings);
+
 				return;
 			}
 
+			// Normalize and save assistant turn with tool calls
 			const normalizedCalls = this.normalizeToolCalls(turnToolCalls);
 			if (normalizedCalls.length === 0) {
-				onComplete?.(
-					'',
-					undefined,
+				await onAssistantTurnComplete?.(
+					turnContent,
+					turnReasoningContent || undefined,
 					this.buildFinalTimings(capturedTimings, agenticTimings),
 					undefined
 				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				return;
 			}
 
-			for (const call of normalizedCalls) {
-				allToolCalls.push({
-					id: call.id,
-					type: call.type,
-					function: call.function ? { ...call.function } : undefined
-				});
-			}
+			totalToolCallCount += normalizedCalls.length;
+			this.updateSession(conversationId, { totalToolCalls: totalToolCallCount });
 
-			this.updateSession(conversationId, { totalToolCalls: allToolCalls.length });
-			onToolCallChunk?.(JSON.stringify(allToolCalls));
+			// Save the assistant message with its tool calls
+			await onAssistantTurnComplete?.(
+				turnContent,
+				turnReasoningContent || undefined,
+				turnTimings,
+				normalizedCalls
+			);
 
+			// Add assistant message to session history
 			sessionMessages.push({
 				role: MessageRole.ASSISTANT,
 				content: turnContent || undefined,
+				reasoning_content: turnReasoningContent || undefined,
 				tool_calls: normalizedCalls
 			});
 
+			// Execute each tool call and create result messages
 			for (const toolCall of normalizedCalls) {
 				if (signal?.aborted) {
-					onComplete?.(
-						'',
-						undefined,
-						this.buildFinalTimings(capturedTimings, agenticTimings),
-						undefined
-					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 
@@ -530,13 +499,7 @@ class AgenticStore {
 					result = executionResult.content;
 				} catch (error) {
 					if (isAbortError(error)) {
-						onComplete?.(
-							'',
-							undefined,
-							this.buildFinalTimings(capturedTimings, agenticTimings),
-							undefined
-						);
-
+						onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 						return;
 					}
 					result = `Error: ${error instanceof Error ? error.message : String(error)}`;
@@ -557,21 +520,27 @@ class AgenticStore {
 				turnStats.toolsMs += Math.round(toolDurationMs);
 
 				if (signal?.aborted) {
-					onComplete?.(
-						'',
-						undefined,
-						this.buildFinalTimings(capturedTimings, agenticTimings),
-						undefined
-					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 
 				const { cleanedResult, attachments } = this.extractBase64Attachments(result);
-				if (attachments.length > 0) onAttachments?.(attachments);
 
-				this.emitToolCallResult(cleanedResult, maxToolPreviewLines, onChunk);
+				// Create the tool result message in the DB
+				let toolResultMessage: DatabaseMessage | undefined;
+				if (createToolResultMessage) {
+					toolResultMessage = await createToolResultMessage(
+						toolCall.id,
+						cleanedResult,
+						attachments.length > 0 ? attachments : undefined
+					);
+				}
+
+				if (attachments.length > 0 && toolResultMessage) {
+					onAttachments?.(toolResultMessage.id, attachments);
+				}
 
+				// Build content parts for session history (including images for vision models)
 				const contentParts: ApiChatMessageContentPart[] = [
 					{ type: ContentPartType.TEXT, text: cleanedResult }
 				];
@@ -605,8 +574,15 @@ class AgenticStore {
 			}
 		}
 
+		// Turn limit reached
 		onChunk?.(TURN_LIMIT_MESSAGE);
-		onComplete?.('', undefined, this.buildFinalTimings(capturedTimings, agenticTimings), undefined);
+		await onAssistantTurnComplete?.(
+			TURN_LIMIT_MESSAGE,
+			undefined,
+			this.buildFinalTimings(capturedTimings, agenticTimings),
+			undefined
+		);
+		onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 	}
 
 	private buildFinalTimings(
@@ -633,23 +609,6 @@ class AgenticStore {
 		}));
 	}
 
-	private emitToolCallResult(
-		result: string,
-		maxLines: number,
-		emit?: (chunk: string) => void
-	): void {
-		if (!emit) {
-			return;
-		}
-
-		let output = `${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_ARGS_END}`;
-		const lines = result.split(NEWLINE_SEPARATOR);
-		const trimmedLines = lines.length > maxLines ? lines.slice(-maxLines) : lines;
-
-		output += `${NEWLINE_SEPARATOR}${trimmedLines.join(NEWLINE_SEPARATOR)}${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_CALL_END}${NEWLINE_SEPARATOR}`;
-		emit(output);
-	}
-
 	private extractBase64Attachments(result: string): {
 		cleanedResult: string;
 		attachments: DatabaseMessageExtra[];
diff --git a/tools/server/webui/src/lib/stores/chat.svelte.ts b/tools/server/webui/src/lib/stores/chat.svelte.ts
index c31dfc8cbf76bb2f5e261b1bb058701496d8c496..540d4fdb5a56338fb426f0ccf608b74fc48674f2 100644
--- a/tools/server/webui/src/lib/stores/chat.svelte.ts
+++ b/tools/server/webui/src/lib/stores/chat.svelte.ts
@@ -12,7 +12,8 @@
  */
 
 import { SvelteMap } from 'svelte/reactivity';
-import { DatabaseService, ChatService } from '$lib/services';
+import { DatabaseService } from '$lib/services/database.service';
+import { ChatService } from '$lib/services/chat.service';
 import { conversationsStore } from '$lib/stores/conversations.svelte';
 import { config } from '$lib/stores/settings.svelte';
 import { agenticStore } from '$lib/stores/agentic.svelte';
@@ -28,12 +29,13 @@ import {
 	filterByLeafNodeId,
 	findDescendantMessages,
 	findLeafNode,
-	isAbortError
+	findMessageById,
+	isAbortError,
+	generateConversationTitle
 } from '$lib/utils';
 import {
 	MAX_INACTIVE_CONVERSATION_STATES,
 	INACTIVE_CONVERSATION_STATE_MAX_AGE_MS,
-	REASONING_TAGS,
 	SYSTEM_MESSAGE_PLACEHOLDER
 } from '$lib/constants';
 import type {
@@ -49,15 +51,6 @@ interface ConversationStateEntry {
 	lastAccessed: number;
 }
 
-const countOccurrences = (source: string, token: string): number =>
-	source ? source.split(token).length - 1 : 0;
-const hasUnclosedReasoningTag = (content: string): boolean =>
-	countOccurrences(content, REASONING_TAGS.START) > countOccurrences(content, REASONING_TAGS.END);
-const wrapReasoningContent = (content: string, reasoningContent?: string): string => {
-	if (!reasoningContent) return content;
-	return `${REASONING_TAGS.START}${reasoningContent}${REASONING_TAGS.END}${content}`;
-};
-
 class ChatStore {
 	activeProcessingState = $state<ApiProcessingState | null>(null);
 	currentResponse = $state('');
@@ -66,6 +59,7 @@ class ChatStore {
 	chatLoadingStates = new SvelteMap<string, boolean>();
 	chatStreamingStates = new SvelteMap<string, { response: string; messageId: string }>();
 	private abortControllers = new SvelteMap<string, AbortController>();
+	private preEncodeAbortController: AbortController | null = null;
 	private processingStates = new SvelteMap<string, ApiProcessingState | null>();
 	private conversationStateTimestamps = new SvelteMap<string, ConversationStateEntry>();
 	private activeConversationId = $state<string | null>(null);
@@ -416,7 +410,7 @@ class ChatStore {
 		if (!activeConv) return false;
 		try {
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-			const systemMessage = allMessages.find((m) => m.id === messageId);
+			const systemMessage = findMessageById(allMessages, messageId);
 			if (!systemMessage || systemMessage.role !== MessageRole.SYSTEM) return false;
 			const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
 			if (!rootMessage) return false;
@@ -470,6 +464,9 @@ class ChatStore {
 		const activeConv = conversationsStore.activeConversation;
 		if (activeConv && this.isChatLoadingInternal(activeConv.id)) return;
 
+		// Cancel any in-flight pre-encode request
+		this.cancelPreEncode();
+
 		// Consume MCP resource attachments - converts them to extras and clears the live store
 		const resourceExtras = mcpStore.consumeResourceAttachmentsAsExtras();
 		const allExtras = resourceExtras.length > 0 ? [...(extras || []), ...resourceExtras] : extras;
@@ -508,7 +505,10 @@ class ChatStore {
 				allExtras
 			);
 			if (isNewConversation && content)
-				await conversationsStore.updateConversationName(currentConv.id, content.trim());
+				await conversationsStore.updateConversationName(
+					currentConv.id,
+					generateConversationTitle(content, Boolean(config().titleGenerationUseFirstLine))
+				);
 			const assistantMessage = await this.createAssistantMessage(userMessage.id);
 			conversationsStore.addMessageToActive(assistantMessage);
 			await this.streamChatCompletion(
@@ -556,83 +556,76 @@ class ChatStore {
 				await modelsStore.fetchModelProps(effectiveModel);
 		}
 
-		let streamedContent = '',
-			streamedToolCallContent = '',
-			isReasoningOpen = false,
-			hasStreamedChunks = false,
-			resolvedModel: string | null = null,
-			modelPersisted = false;
-		let streamedExtras: DatabaseMessageExtra[] = assistantMessage.extra
-			? JSON.parse(JSON.stringify(assistantMessage.extra))
-			: [];
+		// Mutable state for the current message being streamed
+		let currentMessageId = assistantMessage.id;
+		let streamedContent = '';
+		let streamedReasoningContent = '';
+		let resolvedModel: string | null = null;
+		let modelPersisted = false;
+		const convId = assistantMessage.convId;
+
 		const recordModel = (modelName: string | null | undefined, persistImmediately = true): void => {
 			if (!modelName) return;
 			const n = normalizeModelName(modelName);
 			if (!n || n === resolvedModel) return;
 			resolvedModel = n;
-			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+			const idx = conversationsStore.findMessageIndex(currentMessageId);
 			conversationsStore.updateMessageAtIndex(idx, { model: n });
 			if (persistImmediately && !modelPersisted) {
 				modelPersisted = true;
-				DatabaseService.updateMessage(assistantMessage.id, { model: n }).catch(() => {
+				DatabaseService.updateMessage(currentMessageId, { model: n }).catch(() => {
 					modelPersisted = false;
 					resolvedModel = null;
 				});
 			}
 		};
-		const updateStreamingContent = () => {
-			this.setChatStreaming(assistantMessage.convId, streamedContent, assistantMessage.id);
-			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+
+		const updateStreamingUI = () => {
+			this.setChatStreaming(convId, streamedContent, currentMessageId);
+			const idx = conversationsStore.findMessageIndex(currentMessageId);
 			conversationsStore.updateMessageAtIndex(idx, { content: streamedContent });
 		};
-		const appendContentChunk = (chunk: string) => {
-			if (isReasoningOpen) {
-				streamedContent += REASONING_TAGS.END;
-				isReasoningOpen = false;
-			}
-			streamedContent += chunk;
-			hasStreamedChunks = true;
-			updateStreamingContent();
-		};
-		const appendReasoningChunk = (chunk: string) => {
-			if (!isReasoningOpen) {
-				streamedContent += REASONING_TAGS.START;
-				isReasoningOpen = true;
-			}
-			streamedContent += chunk;
-			hasStreamedChunks = true;
-			updateStreamingContent();
-		};
-		const finalizeReasoning = () => {
-			if (isReasoningOpen) {
-				streamedContent += REASONING_TAGS.END;
-				isReasoningOpen = false;
-			}
+
+		const cleanupStreamingState = () => {
+			this.setStreamingActive(false);
+			this.setChatLoading(convId, false);
+			this.clearChatStreaming(convId);
+			this.setProcessingState(convId, null);
 		};
+
 		this.setStreamingActive(true);
-		this.setActiveProcessingConversation(assistantMessage.convId);
-		const abortController = this.getOrCreateAbortController(assistantMessage.convId);
+		this.setActiveProcessingConversation(convId);
+		const abortController = this.getOrCreateAbortController(convId);
+
 		const streamCallbacks: ChatStreamCallbacks = {
-			onChunk: (chunk: string) => appendContentChunk(chunk),
-			onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
-			onToolCallChunk: (chunk: string) => {
-				const c = chunk.trim();
-				if (!c) return;
-				streamedToolCallContent = c;
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-				conversationsStore.updateMessageAtIndex(idx, { toolCalls: streamedToolCallContent });
+			onChunk: (chunk: string) => {
+				streamedContent += chunk;
+				updateStreamingUI();
 			},
-			onAttachments: (extras: DatabaseMessageExtra[]) => {
+			onReasoningChunk: (chunk: string) => {
+				streamedReasoningContent += chunk;
+				// Update UI to show reasoning is being received
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
+				conversationsStore.updateMessageAtIndex(idx, {
+					reasoningContent: streamedReasoningContent
+				});
+			},
+			onToolCallsStreaming: (toolCalls) => {
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
+				conversationsStore.updateMessageAtIndex(idx, { toolCalls: JSON.stringify(toolCalls) });
+			},
+			onAttachments: (messageId: string, extras: DatabaseMessageExtra[]) => {
 				if (!extras.length) return;
-				streamedExtras = [...streamedExtras, ...extras];
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-				conversationsStore.updateMessageAtIndex(idx, { extra: streamedExtras });
-				DatabaseService.updateMessage(assistantMessage.id, { extra: streamedExtras }).catch(
-					console.error
-				);
+				const idx = conversationsStore.findMessageIndex(messageId);
+				if (idx === -1) return;
+				const msg = conversationsStore.activeMessages[idx];
+				const updatedExtras = [...(msg.extra || []), ...extras];
+				conversationsStore.updateMessageAtIndex(idx, { extra: updatedExtras });
+				DatabaseService.updateMessage(messageId, { extra: updatedExtras }).catch(console.error);
 			},
 			onModel: (modelName: string) => recordModel(modelName),
 			onTurnComplete: (intermediateTimings: ChatMessageTimings) => {
+				// Update the first assistant message with cumulative agentic timings
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				conversationsStore.updateMessageAtIndex(idx, { timings: intermediateTimings });
 			},
@@ -650,56 +643,114 @@ class ChatStore {
 						cache_n: timings?.cache_n || 0,
 						prompt_progress: promptProgress
 					},
-					assistantMessage.convId
+					convId
 				);
 			},
-			onComplete: async (
-				finalContent?: string,
-				reasoningContent?: string,
-				timings?: ChatMessageTimings,
-				toolCallContent?: string
+			onAssistantTurnComplete: async (
+				content: string,
+				reasoningContent: string | undefined,
+				timings: ChatMessageTimings | undefined,
+				toolCalls: import('$lib/types/api').ApiChatCompletionToolCall[] | undefined
 			) => {
-				this.setStreamingActive(false);
-				finalizeReasoning();
-				const combinedContent = hasStreamedChunks
-					? streamedContent
-					: wrapReasoningContent(finalContent || '', reasoningContent);
 				const updateData: Record<string, unknown> = {
-					content: combinedContent,
-					toolCalls: toolCallContent || streamedToolCallContent,
+					content,
+					reasoningContent: reasoningContent || undefined,
+					toolCalls: toolCalls ? JSON.stringify(toolCalls) : '',
 					timings
 				};
-				if (streamedExtras.length > 0) updateData.extra = streamedExtras;
 				if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
-				await DatabaseService.updateMessage(assistantMessage.id, updateData);
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				await DatabaseService.updateMessage(currentMessageId, updateData);
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
 				const uiUpdate: Partial<DatabaseMessage> = {
-					content: combinedContent,
-					toolCalls: updateData.toolCalls as string
+					content,
+					reasoningContent: reasoningContent || undefined,
+					toolCalls: toolCalls ? JSON.stringify(toolCalls) : ''
 				};
-				if (streamedExtras.length > 0) uiUpdate.extra = streamedExtras;
 				if (timings) uiUpdate.timings = timings;
 				if (resolvedModel) uiUpdate.model = resolvedModel;
 				conversationsStore.updateMessageAtIndex(idx, uiUpdate);
-				await conversationsStore.updateCurrentNode(assistantMessage.id);
-				if (onComplete) await onComplete(combinedContent);
-				this.setChatLoading(assistantMessage.convId, false);
-				this.clearChatStreaming(assistantMessage.convId);
-				this.setProcessingState(assistantMessage.convId, null);
+				await conversationsStore.updateCurrentNode(currentMessageId);
+			},
+			createToolResultMessage: async (
+				toolCallId: string,
+				content: string,
+				extras?: DatabaseMessageExtra[]
+			) => {
+				const msg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.TOOL,
+						content,
+						toolCallId,
+						timestamp: Date.now(),
+						toolCalls: '',
+						children: [],
+						extra: extras
+					},
+					currentMessageId
+				);
+				conversationsStore.addMessageToActive(msg);
+				await conversationsStore.updateCurrentNode(msg.id);
+				return msg;
+			},
+			createAssistantMessage: async () => {
+				// Reset streaming state for new message
+				streamedContent = '';
+				streamedReasoningContent = '';
+
+				const lastMsg =
+					conversationsStore.activeMessages[conversationsStore.activeMessages.length - 1];
+				const msg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.ASSISTANT,
+						content: '',
+						timestamp: Date.now(),
+						toolCalls: '',
+						children: [],
+						model: resolvedModel
+					},
+					lastMsg.id
+				);
+				conversationsStore.addMessageToActive(msg);
+				currentMessageId = msg.id;
+				return msg;
+			},
+			onFlowComplete: (finalTimings?: ChatMessageTimings) => {
+				if (finalTimings) {
+					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+
+					conversationsStore.updateMessageAtIndex(idx, { timings: finalTimings });
+					DatabaseService.updateMessage(assistantMessage.id, { timings: finalTimings }).catch(
+						console.error
+					);
+				}
+
+				cleanupStreamingState();
+
+				if (onComplete) onComplete(streamedContent);
 				if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+				// Pre-encode conversation in KV cache for faster next turn
+				if (config().preEncodeConversation) {
+					this.triggerPreEncode(
+						allMessages,
+						assistantMessage,
+						streamedContent,
+						effectiveModel,
+						!!config().excludeReasoningFromContext
+					);
+				}
 			},
 			onError: (error: Error) => {
 				this.setStreamingActive(false);
 				if (isAbortError(error)) {
-					this.setChatLoading(assistantMessage.convId, false);
-					this.clearChatStreaming(assistantMessage.convId);
-					this.setProcessingState(assistantMessage.convId, null);
+					cleanupStreamingState();
 					return;
 				}
 				console.error('Streaming error:', error);
-				this.setChatLoading(assistantMessage.convId, false);
-				this.clearChatStreaming(assistantMessage.convId);
-				this.setProcessingState(assistantMessage.convId, null);
+				cleanupStreamingState();
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				if (idx !== -1) {
 					const failedMessage = conversationsStore.removeMessageAtIndex(idx);
@@ -716,12 +767,13 @@ class ChatStore {
 				if (onError) onError(error);
 			}
 		};
+
 		const perChatOverrides = conversationsStore.activeConversation?.mcpServerOverrides;
 
 		const agenticConfig = agenticStore.getConfig(config(), perChatOverrides);
 		if (agenticConfig.enabled) {
 			const agenticResult = await agenticStore.runAgenticFlow({
-				conversationId: assistantMessage.convId,
+				conversationId: convId,
 				messages: allMessages,
 				options: { ...this.getApiOptions(), ...(effectiveModel ? { model: effectiveModel } : {}) },
 				callbacks: streamCallbacks,
@@ -731,16 +783,50 @@ class ChatStore {
 			if (agenticResult.handled) return;
 		}
 
-		const completionOptions = {
-			...this.getApiOptions(),
-			...(effectiveModel ? { model: effectiveModel } : {}),
-			...streamCallbacks
-		};
-
+		// Non-agentic path: direct streaming into the single assistant message
 		await ChatService.sendMessage(
 			allMessages,
-			completionOptions,
-			assistantMessage.convId,
+			{
+				...this.getApiOptions(),
+				...(effectiveModel ? { model: effectiveModel } : {}),
+				stream: true,
+				onChunk: streamCallbacks.onChunk,
+				onReasoningChunk: streamCallbacks.onReasoningChunk,
+				onModel: streamCallbacks.onModel,
+				onTimings: streamCallbacks.onTimings,
+				onComplete: async (
+					finalContent?: string,
+					reasoningContent?: string,
+					timings?: ChatMessageTimings,
+					toolCalls?: string
+				) => {
+					const content = streamedContent || finalContent || '';
+					const reasoning = streamedReasoningContent || reasoningContent;
+					const updateData: Record<string, unknown> = {
+						content,
+						reasoningContent: reasoning || undefined,
+						toolCalls: toolCalls || '',
+						timings
+					};
+					if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
+					await DatabaseService.updateMessage(currentMessageId, updateData);
+					const idx = conversationsStore.findMessageIndex(currentMessageId);
+					const uiUpdate: Partial<DatabaseMessage> = {
+						content,
+						reasoningContent: reasoning || undefined,
+						toolCalls: toolCalls || ''
+					};
+					if (timings) uiUpdate.timings = timings;
+					if (resolvedModel) uiUpdate.model = resolvedModel;
+					conversationsStore.updateMessageAtIndex(idx, uiUpdate);
+					await conversationsStore.updateCurrentNode(currentMessageId);
+					cleanupStreamingState();
+					if (onComplete) await onComplete(content);
+					if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+				},
+				onError: streamCallbacks.onError
+			},
+			convId,
 			abortController.signal
 		);
 	}
@@ -814,7 +900,7 @@ class ChatStore {
 			if (isFirstUserMessage && newContent.trim())
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim()
+					generateConversationTitle(newContent, Boolean(config().titleGenerationUseFirstLine))
 				);
 			const messagesToRemove = conversationsStore.activeMessages.slice(messageIndex + 1);
 			for (const message of messagesToRemove) await DatabaseService.deleteMessage(message.id);
@@ -843,6 +929,7 @@ class ChatStore {
 	async regenerateMessage(messageId: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
 		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		this.cancelPreEncode();
 		const result = this.getMessageByIdWithRole(messageId, MessageRole.ASSISTANT);
 		if (!result) return;
 		const { index: messageIndex } = result;
@@ -872,13 +959,14 @@ class ChatStore {
 	async regenerateMessageWithBranching(messageId: string, modelOverride?: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
 		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		this.cancelPreEncode();
 		try {
 			const idx = conversationsStore.findMessageIndex(messageId);
 			if (idx === -1) return;
 			const msg = conversationsStore.activeMessages[idx];
 			if (msg.role !== MessageRole.ASSISTANT) return;
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-			const parentMessage = allMessages.find((m) => m.id === msg.parent);
+			const parentMessage = findMessageById(allMessages, msg.parent);
 			if (!parentMessage) return;
 			this.setChatLoading(activeConv.id, true);
 			this.clearChatStreaming(activeConv.id);
@@ -928,7 +1016,7 @@ class ChatStore {
 		if (!activeConv)
 			return { totalCount: 0, userMessages: 0, assistantMessages: 0, messageTypes: [] };
 		const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-		const messageToDelete = allMessages.find((m) => m.id === messageId);
+		const messageToDelete = findMessageById(allMessages, messageId);
 
 		// For system messages, don't count descendants as they will be preserved (reparented to root)
 		if (messageToDelete?.role === MessageRole.SYSTEM) {
@@ -975,7 +1063,7 @@ class ChatStore {
 		if (!activeConv) return;
 		try {
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-			const messageToDelete = allMessages.find((m) => m.id === messageId);
+			const messageToDelete = findMessageById(allMessages, messageId);
 
 			if (!messageToDelete) return;
 
@@ -1024,7 +1112,7 @@ class ChatStore {
 			this.clearChatStreaming(activeConv.id);
 
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-			const dbMessage = allMessages.find((m) => m.id === messageId);
+			const dbMessage = findMessageById(allMessages, messageId);
 
 			if (!dbMessage) {
 				this.setChatLoading(activeConv.id, false);
@@ -1032,56 +1120,40 @@ class ChatStore {
 			}
 
 			const originalContent = dbMessage.content;
+			const originalReasoning = dbMessage.reasoningContent || '';
 			const conversationContext = conversationsStore.activeMessages.slice(0, idx);
 			const contextWithContinue = [
 				...conversationContext,
 				{ role: MessageRole.ASSISTANT as const, content: originalContent }
 			];
 
-			let appendedContent = '',
-				hasReceivedContent = false,
-				isReasoningOpen = hasUnclosedReasoningTag(originalContent);
+			let appendedContent = '';
+			let appendedReasoning = '';
+			let hasReceivedContent = false;
 
 			const updateStreamingContent = (fullContent: string) => {
 				this.setChatStreaming(msg.convId, fullContent, msg.id);
 				conversationsStore.updateMessageAtIndex(idx, { content: fullContent });
 			};
 
-			const appendContentChunk = (chunk: string) => {
-				if (isReasoningOpen) {
-					appendedContent += REASONING_TAGS.END;
-					isReasoningOpen = false;
-				}
-				appendedContent += chunk;
-				hasReceivedContent = true;
-				updateStreamingContent(originalContent + appendedContent);
-			};
-
-			const appendReasoningChunk = (chunk: string) => {
-				if (!isReasoningOpen) {
-					appendedContent += REASONING_TAGS.START;
-					isReasoningOpen = true;
-				}
-				appendedContent += chunk;
-				hasReceivedContent = true;
-				updateStreamingContent(originalContent + appendedContent);
-			};
-
-			const finalizeReasoning = () => {
-				if (isReasoningOpen) {
-					appendedContent += REASONING_TAGS.END;
-					isReasoningOpen = false;
-				}
-			};
-
 			const abortController = this.getOrCreateAbortController(msg.convId);
 
 			await ChatService.sendMessage(
 				contextWithContinue,
 				{
 					...this.getApiOptions(),
-					onChunk: (chunk: string) => appendContentChunk(chunk),
-					onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
+					onChunk: (chunk: string) => {
+						appendedContent += chunk;
+						hasReceivedContent = true;
+						updateStreamingContent(originalContent + appendedContent);
+					},
+					onReasoningChunk: (chunk: string) => {
+						appendedReasoning += chunk;
+						hasReceivedContent = true;
+						conversationsStore.updateMessageAtIndex(idx, {
+							reasoningContent: originalReasoning + appendedReasoning
+						});
+					},
 					onTimings: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => {
 						const tokensPerSecond =
 							timings?.predicted_ms && timings?.predicted_n
@@ -1104,21 +1176,23 @@ class ChatStore {
 						reasoningContent?: string,
 						timings?: ChatMessageTimings
 					) => {
-						finalizeReasoning();
-
-						const appendedFromCompletion = hasReceivedContent
-							? appendedContent
-							: wrapReasoningContent(finalContent || '', reasoningContent);
-						const fullContent = originalContent + appendedFromCompletion;
+						const finalAppendedContent = hasReceivedContent ? appendedContent : finalContent || '';
+						const finalAppendedReasoning = hasReceivedContent
+							? appendedReasoning
+							: reasoningContent || '';
+						const fullContent = originalContent + finalAppendedContent;
+						const fullReasoning = originalReasoning + finalAppendedReasoning || undefined;
 
 						await DatabaseService.updateMessage(msg.id, {
 							content: fullContent,
+							reasoningContent: fullReasoning,
 							timestamp: Date.now(),
 							timings
 						});
 
 						conversationsStore.updateMessageAtIndex(idx, {
 							content: fullContent,
+							reasoningContent: fullReasoning,
 							timestamp: Date.now(),
 							timings
 						});
@@ -1134,11 +1208,13 @@ class ChatStore {
 							if (hasReceivedContent && appendedContent) {
 								await DatabaseService.updateMessage(msg.id, {
 									content: originalContent + appendedContent,
+									reasoningContent: originalReasoning + appendedReasoning || undefined,
 									timestamp: Date.now()
 								});
 
 								conversationsStore.updateMessageAtIndex(idx, {
 									content: originalContent + appendedContent,
+									reasoningContent: originalReasoning + appendedReasoning || undefined,
 									timestamp: Date.now()
 								});
 							}
@@ -1207,7 +1283,6 @@ class ChatStore {
 				await conversationsStore.updateCurrentNode(newMessage.id);
 			} else {
 				await DatabaseService.updateMessage(msg.id, { content: newContent });
-				await conversationsStore.updateCurrentNode(msg.id);
 				conversationsStore.updateMessageAtIndex(idx, { content: newContent });
 			}
 
@@ -1246,7 +1321,7 @@ class ChatStore {
 			if (rootMessage && msg.parent === rootMessage.id && newContent.trim()) {
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim()
+					generateConversationTitle(newContent, Boolean(config().titleGenerationUseFirstLine))
 				);
 			}
 
@@ -1266,43 +1341,65 @@ class ChatStore {
 		let result = this.getMessageByIdWithRole(messageId, MessageRole.USER);
 		if (!result) result = this.getMessageByIdWithRole(messageId, MessageRole.SYSTEM);
 		if (!result) return;
-		const { message: msg } = result;
+		const { message: msg, index: idx } = result;
 		try {
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
 			const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
 			const isFirstUserMessage =
 				msg.role === MessageRole.USER && rootMessage && msg.parent === rootMessage.id;
-			const parentId = msg.parent || rootMessage?.id;
-			if (!parentId) return;
 			const extrasToUse =
 				newExtras !== undefined
 					? JSON.parse(JSON.stringify(newExtras))
 					: msg.extra
 						? JSON.parse(JSON.stringify(msg.extra))
 						: undefined;
-			const newMessage = await DatabaseService.createMessageBranch(
-				{
-					convId: msg.convId,
-					type: msg.type,
-					timestamp: Date.now(),
-					role: msg.role,
+
+			let messageIdForResponse: string;
+
+			const dbMsg = findMessageById(allMessages, msg.id);
+			const hasChildren = dbMsg ? dbMsg.children.length > 0 : msg.children.length > 0;
+
+			if (!hasChildren) {
+				// No responses after this message — update in place instead of branching
+				const updates: Partial<DatabaseMessage> = {
 					content: newContent,
-					toolCalls: msg.toolCalls || '',
-					children: [],
-					extra: extrasToUse,
-					model: msg.model
-				},
-				parentId
-			);
-			await conversationsStore.updateCurrentNode(newMessage.id);
+					timestamp: Date.now(),
+					extra: extrasToUse
+				};
+				await DatabaseService.updateMessage(msg.id, updates);
+				conversationsStore.updateMessageAtIndex(idx, updates);
+				messageIdForResponse = msg.id;
+			} else {
+				// Has children — create a new branch as sibling
+				const parentId = msg.parent || rootMessage?.id;
+				if (!parentId) return;
+				const newMessage = await DatabaseService.createMessageBranch(
+					{
+						convId: msg.convId,
+						type: msg.type,
+						timestamp: Date.now(),
+						role: msg.role,
+						content: newContent,
+						toolCalls: msg.toolCalls || '',
+						children: [],
+						extra: extrasToUse,
+						model: msg.model
+					},
+					parentId
+				);
+				await conversationsStore.updateCurrentNode(newMessage.id);
+				messageIdForResponse = newMessage.id;
+			}
+
 			conversationsStore.updateConversationTimestamp();
 			if (isFirstUserMessage && newContent.trim())
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim()
+					generateConversationTitle(newContent, Boolean(config().titleGenerationUseFirstLine))
 				);
 			await conversationsStore.refreshActiveMessages();
-			if (msg.role === MessageRole.USER) await this.generateResponseForMessage(newMessage.id);
+			if (msg.role === MessageRole.USER)
+				await this.generateResponseForMessage(messageIdForResponse);
 		} catch (error) {
 			console.error('Failed to edit message with branching:', error);
 		}
@@ -1480,6 +1577,8 @@ class ChatStore {
 
 		if (currentConfig.disableReasoningParsing) apiOptions.disableReasoningParsing = true;
 
+		if (currentConfig.excludeReasoningFromContext) apiOptions.excludeReasoningFromContext = true;
+
 		if (hasValue(currentConfig.temperature))
 			apiOptions.temperature = Number(currentConfig.temperature);
 
@@ -1531,13 +1630,48 @@ class ChatStore {
 
 		if (currentConfig.samplers) apiOptions.samplers = currentConfig.samplers;
 
-		if (currentConfig.backend_sampling)
-			apiOptions.backend_sampling = currentConfig.backend_sampling;
+		apiOptions.backend_sampling = currentConfig.backend_sampling;
 
 		if (currentConfig.custom) apiOptions.custom = currentConfig.custom;
 
 		return apiOptions;
 	}
+
+	private cancelPreEncode(): void {
+		if (this.preEncodeAbortController) {
+			this.preEncodeAbortController.abort();
+			this.preEncodeAbortController = null;
+		}
+	}
+
+	private async triggerPreEncode(
+		allMessages: DatabaseMessage[],
+		assistantMessage: DatabaseMessage,
+		assistantContent: string,
+		model?: string | null,
+		excludeReasoning?: boolean
+	): Promise<void> {
+		this.cancelPreEncode();
+		this.preEncodeAbortController = new AbortController();
+
+		const signal = this.preEncodeAbortController.signal;
+
+		try {
+			const allIdle = await ChatService.areAllSlotsIdle(model, signal);
+			if (!allIdle || signal.aborted) return;
+
+			const messagesWithAssistant: DatabaseMessage[] = [
+				...allMessages,
+				{ ...assistantMessage, content: assistantContent }
+			];
+
+			await ChatService.preEncode(messagesWithAssistant, model, excludeReasoning, signal);
+		} catch (err) {
+			if (!isAbortError(err)) {
+				console.warn('[ChatStore] Pre-encode failed:', err);
+			}
+		}
+	}
 }
 
 export const chatStore = new ChatStore();
diff --git a/tools/server/webui/src/lib/stores/conversations.svelte.ts b/tools/server/webui/src/lib/stores/conversations.svelte.ts
index 39f206479faa51aeca6b37f82a5a7e13eb59d2d9..2d1d4e9c3225bd24394d96f214b52e7c51ead57f 100644
--- a/tools/server/webui/src/lib/stores/conversations.svelte.ts
+++ b/tools/server/webui/src/lib/stores/conversations.svelte.ts
@@ -23,7 +23,12 @@ import { browser } from '$app/environment';
 import { toast } from 'svelte-sonner';
 import { DatabaseService } from '$lib/services/database.service';
 import { config } from '$lib/stores/settings.svelte';
-import { filterByLeafNodeId, findLeafNode } from '$lib/utils';
+import {
+	filterByLeafNodeId,
+	findLeafNode,
+	runLegacyMigration,
+	generateConversationTitle
+} from '$lib/utils';
 import type { McpServerOverride } from '$lib/types/database';
 import { MessageRole } from '$lib/enums';
 import {
@@ -36,8 +41,15 @@ import {
 	ISO_TIME_SEPARATOR,
 	ISO_TIME_SEPARATOR_REPLACEMENT,
 	NON_ALPHANUMERIC_REGEX,
-	MULTIPLE_UNDERSCORE_REGEX
+	MULTIPLE_UNDERSCORE_REGEX,
+	MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY
 } from '$lib/constants';
+import { SvelteMap, SvelteSet } from 'svelte/reactivity';
+
+export interface ConversationTreeItem {
+	conversation: DatabaseConversation;
+	depth: number;
+}
 
 class ConversationsStore {
 	/**
@@ -61,7 +73,37 @@ class ConversationsStore {
 	isInitialized = $state(false);
 
 	/** Pending MCP server overrides for new conversations (before first message) */
-	pendingMcpServerOverrides = $state<McpServerOverride[]>([]);
+	pendingMcpServerOverrides = $state<McpServerOverride[]>(ConversationsStore.loadMcpDefaults());
+
+	/** Load MCP default overrides from localStorage */
+	private static loadMcpDefaults(): McpServerOverride[] {
+		if (typeof globalThis.localStorage === 'undefined') return [];
+		try {
+			const raw = localStorage.getItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY);
+			if (!raw) return [];
+			const parsed = JSON.parse(raw);
+			if (!Array.isArray(parsed)) return [];
+			return parsed.filter(
+				(o: unknown) => typeof o === 'object' && o !== null && 'serverId' in o && 'enabled' in o
+			) as McpServerOverride[];
+		} catch {
+			return [];
+		}
+	}
+
+	/** Persist MCP default overrides to localStorage */
+	private saveMcpDefaults(): void {
+		if (typeof globalThis.localStorage === 'undefined') return;
+		const plain = this.pendingMcpServerOverrides.map((o) => ({
+			serverId: o.serverId,
+			enabled: o.enabled
+		}));
+		if (plain.length > 0) {
+			localStorage.setItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY, JSON.stringify(plain));
+		} else {
+			localStorage.removeItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY);
+		}
+	}
 
 	/** Callback for title update confirmation dialog */
 	titleUpdateConfirmationCallback?: (currentTitle: string, newTitle: string) => Promise<boolean>;
@@ -91,6 +133,10 @@ class ConversationsStore {
 		if (this.isInitialized) return;
 
 		try {
+			// @deprecated Legacy migration for old marker-based messages.
+			// Remove once all users have migrated to the structured format.
+			await runLegacyMigration();
+
 			await this.loadConversations();
 			this.isInitialized = true;
 		} catch (error) {
@@ -261,21 +307,53 @@ class ConversationsStore {
 	clearActiveConversation(): void {
 		this.activeConversation = null;
 		this.activeMessages = [];
+		// reload MCP defaults so new chats inherit persisted state
+		this.pendingMcpServerOverrides = ConversationsStore.loadMcpDefaults();
 	}
 
 	/**
 	 * Deletes a conversation and all its messages
 	 * @param convId - The conversation ID to delete
 	 */
-	async deleteConversation(convId: string): Promise<void> {
+	async deleteConversation(convId: string, options?: { deleteWithForks?: boolean }): Promise<void> {
 		try {
-			await DatabaseService.deleteConversation(convId);
-
-			this.conversations = this.conversations.filter((c) => c.id !== convId);
+			await DatabaseService.deleteConversation(convId, options);
+
+			if (options?.deleteWithForks) {
+				// Collect all descendants recursively
+				const idsToRemove = new SvelteSet([convId]);
+				const queue = [convId];
+				while (queue.length > 0) {
+					const parentId = queue.pop()!;
+					for (const c of this.conversations) {
+						if (c.forkedFromConversationId === parentId && !idsToRemove.has(c.id)) {
+							idsToRemove.add(c.id);
+							queue.push(c.id);
+						}
+					}
+				}
+				this.conversations = this.conversations.filter((c) => !idsToRemove.has(c.id));
 
-			if (this.activeConversation?.id === convId) {
-				this.clearActiveConversation();
-				await goto(`?new_chat=true#/`);
+				if (this.activeConversation && idsToRemove.has(this.activeConversation.id)) {
+					this.clearActiveConversation();
+					await goto(`?new_chat=true#/`);
+				}
+			} else {
+				// Reparent direct children to deleted conv's parent (or promote to top-level)
+				const deletedConv = this.conversations.find((c) => c.id === convId);
+				const newParent = deletedConv?.forkedFromConversationId;
+				this.conversations = this.conversations
+					.filter((c) => c.id !== convId)
+					.map((c) =>
+						c.forkedFromConversationId === convId
+							? { ...c, forkedFromConversationId: newParent }
+							: c
+					);
+
+				if (this.activeConversation?.id === convId) {
+					this.clearActiveConversation();
+					await goto(`?new_chat=true#/`);
+				}
 			}
 		} catch (error) {
 			console.error('Failed to delete conversation:', error);
@@ -475,7 +553,10 @@ class ConversationsStore {
 			) {
 				await this.updateConversationTitleWithConfirmation(
 					this.activeConversation.id,
-					newFirstUserMessage.content.trim()
+					generateConversationTitle(
+						newFirstUserMessage.content,
+						Boolean(config().titleGenerationUseFirstLine)
+					)
 				);
 			}
 		}
@@ -597,6 +678,7 @@ class ConversationsStore {
 				this.pendingMcpServerOverrides = [...this.pendingMcpServerOverrides, { serverId, enabled }];
 			}
 		}
+		this.saveMcpDefaults();
 	}
 
 	/**
@@ -621,6 +703,43 @@ class ConversationsStore {
 	 */
 	clearPendingMcpServerOverrides(): void {
 		this.pendingMcpServerOverrides = [];
+		this.saveMcpDefaults();
+	}
+
+	/**
+	 * Forks a conversation at a specific message, creating a new conversation
+	 * containing messages from root up to the target message, then navigates to it.
+	 *
+	 * @param messageId - The message ID to fork at
+	 * @param options - Fork options (name and whether to include attachments)
+	 * @returns The new conversation ID, or null if fork failed
+	 */
+	async forkConversation(
+		messageId: string,
+		options: { name: string; includeAttachments: boolean }
+	): Promise<string | null> {
+		if (!this.activeConversation) return null;
+
+		try {
+			const newConv = await DatabaseService.forkConversation(
+				this.activeConversation.id,
+				messageId,
+				options
+			);
+
+			this.conversations = [newConv, ...this.conversations];
+
+			await goto(`#/chat/${newConv.id}`);
+
+			toast.success('Conversation forked');
+
+			return newConv.id;
+		} catch (error) {
+			console.error('Failed to fork conversation:', error);
+			toast.error('Failed to fork conversation');
+
+			return null;
+		}
 	}
 
 	/**
@@ -795,3 +914,53 @@ export const conversations = () => conversationsStore.conversations;
 export const activeConversation = () => conversationsStore.activeConversation;
 export const activeMessages = () => conversationsStore.activeMessages;
 export const isConversationsInitialized = () => conversationsStore.isInitialized;
+
+/**
+ * Builds a flat tree of conversations with depth levels for nested forks.
+ * Accepts a pre-filtered list so search filtering stays in the component.
+ */
+export function buildConversationTree(convs: DatabaseConversation[]): ConversationTreeItem[] {
+	const childrenByParent = new SvelteMap<string, DatabaseConversation[]>();
+	const forkIds = new SvelteSet<string>();
+
+	for (const conv of convs) {
+		if (conv.forkedFromConversationId) {
+			forkIds.add(conv.id);
+
+			const siblings = childrenByParent.get(conv.forkedFromConversationId) || [];
+
+			siblings.push(conv);
+			childrenByParent.set(conv.forkedFromConversationId, siblings);
+		}
+	}
+
+	const result: ConversationTreeItem[] = [];
+	const visited = new SvelteSet<string>();
+
+	function walk(conv: DatabaseConversation, depth: number) {
+		visited.add(conv.id);
+		result.push({ conversation: conv, depth });
+
+		const children = childrenByParent.get(conv.id);
+		if (children) {
+			children.sort((a, b) => b.lastModified - a.lastModified);
+
+			for (const child of children) {
+				walk(child, depth + 1);
+			}
+		}
+	}
+
+	const roots = convs.filter((c) => !forkIds.has(c.id));
+	for (const root of roots) {
+		walk(root, 0);
+	}
+
+	for (const conv of convs) {
+		if (!visited.has(conv.id)) {
+			walk(conv, 1);
+		}
+	}
+
+	return result;
+}
diff --git a/tools/server/webui/src/lib/stores/mcp.svelte.ts b/tools/server/webui/src/lib/stores/mcp.svelte.ts
index dadf8fda62496696e36403c1ffd8c38ed7e29ae3..70470c56506941bcc2802873982badbab8d90470 100644
--- a/tools/server/webui/src/lib/stores/mcp.svelte.ts
+++ b/tools/server/webui/src/lib/stores/mcp.svelte.ts
@@ -208,23 +208,16 @@ class MCPStore {
 	}
 
 	/**
-	 * Checks if a server is enabled, considering per-chat overrides.
+	 * Checks if a server is enabled for a given chat.
+	 * Only per-chat overrides (persisted in localStorage for new chats,
+	 * or in IndexedDB for existing conversations) control enabled state.
 	 */
 	#checkServerEnabled(
 		server: MCPServerSettingsEntry,
 		perChatOverrides?: McpServerOverride[]
 	): boolean {
-		if (!server.enabled) {
-			return false;
-		}
-
-		if (perChatOverrides) {
-			const override = perChatOverrides.find((o) => o.serverId === server.id);
-
-			return override?.enabled ?? false;
-		}
-
-		return false;
+		const override = perChatOverrides?.find((o) => o.serverId === server.id);
+		return override?.enabled ?? false;
 	}
 
 	/**
@@ -570,18 +563,8 @@ class MCPStore {
 	getEnabledServersForConversation(
 		perChatOverrides?: McpServerOverride[]
 	): MCPServerSettingsEntry[] {
-		if (!perChatOverrides?.length) {
-			return [];
-		}
-
 		return this.getServers().filter((server) => {
-			if (!server.enabled) {
-				return false;
-			}
-
-			const override = perChatOverrides.find((o) => o.serverId === server.id);
-
-			return override?.enabled ?? false;
+			return this.#checkServerEnabled(server, perChatOverrides);
 		});
 	}
 
@@ -1477,12 +1460,14 @@ class MCPStore {
 		} catch (error) {
 			const message = error instanceof Error ? error.message : 'Unknown error occurred';
 
-			logs.push({
-				timestamp: new Date(),
-				phase: MCPConnectionPhase.ERROR,
-				message: `Connection failed: ${message}`,
-				level: MCPLogLevel.ERROR
-			});
+			if (logs.at(-1)?.phase !== MCPConnectionPhase.ERROR) {
+				logs.push({
+					timestamp: new Date(),
+					phase: MCPConnectionPhase.ERROR,
+					message: `Connection failed: ${message}`,
+					level: MCPLogLevel.ERROR
+				});
+			}
 
 			this.updateHealthCheck(server.id, {
 				status: HealthCheckStatus.ERROR,
diff --git a/tools/server/webui/src/lib/stores/models.svelte.ts b/tools/server/webui/src/lib/stores/models.svelte.ts
index a6d7d6572ff2bc061fcd17d26b186232813ce9af..d7c885844fc8373681f3a7a5b7d0affaa4b8fb51 100644
--- a/tools/server/webui/src/lib/stores/models.svelte.ts
+++ b/tools/server/webui/src/lib/stores/models.svelte.ts
@@ -7,7 +7,7 @@ import { TTLCache } from '$lib/utils';
 import {
 	MODEL_PROPS_CACHE_TTL_MS,
 	MODEL_PROPS_CACHE_MAX_ENTRIES,
-	FAVOURITE_MODELS_LOCALSTORAGE_KEY
+	FAVORITE_MODELS_LOCALSTORAGE_KEY
 } from '$lib/constants';
 
 /**
@@ -57,7 +57,7 @@ class ModelsStore {
 	private modelUsage = $state<Map<string, SvelteSet<string>>>(new Map());
 	private modelLoadingStates = new SvelteMap<string, boolean>();
 
-	favouriteModelIds = $state<Set<string>>(this.loadFavouritesFromStorage());
+	favoriteModelIds = $state<Set<string>>(this.loadFavoritesFromStorage());
 
 	/**
 	 * Model-specific props cache with TTL
@@ -90,7 +90,11 @@ class ModelsStore {
 
 	get loadedModelIds(): string[] {
 		return this.routerModels
-			.filter((m) => m.status.value === ServerModelStatus.LOADED)
+			.filter(
+				(m) =>
+					m.status.value === ServerModelStatus.LOADED ||
+					m.status.value === ServerModelStatus.SLEEPING
+			)
 			.map((m) => m.id);
 	}
 
@@ -215,7 +219,11 @@ class ModelsStore {
 
 	isModelLoaded(modelId: string): boolean {
 		const model = this.routerModels.find((m) => m.id === modelId);
-		return model?.status.value === ServerModelStatus.LOADED || false;
+		return (
+			model?.status.value === ServerModelStatus.LOADED ||
+			model?.status.value === ServerModelStatus.SLEEPING ||
+			false
+		);
 	}
 
 	isModelOperationInProgress(modelId: string): boolean {
@@ -457,7 +465,7 @@ class ModelsStore {
 
 	/**
 	 * Select a model by its model name (used for syncing with conversation model)
-	 * @param modelName - Model name to select (e.g., "unsloth/gemma-3-12b-it-GGUF:latest")
+	 * @param modelName - Model name to select (e.g., "ggml-org/GLM-4.7-Flash-GGUF")
 	 */
 	selectModelByName(modelName: string): void {
 		const option = this.models.find((model) => model.model === modelName);
@@ -621,17 +629,17 @@ class ModelsStore {
 	/**
 	 *
 	 *
-	 * Favourites
+	 * Favorites
 	 *
 	 *
 	 */
 
-	isFavourite(modelId: string): boolean {
-		return this.favouriteModelIds.has(modelId);
+	isFavorite(modelId: string): boolean {
+		return this.favoriteModelIds.has(modelId);
 	}
 
-	toggleFavourite(modelId: string): void {
-		const next = new SvelteSet(this.favouriteModelIds);
+	toggleFavorite(modelId: string): void {
+		const next = new SvelteSet(this.favoriteModelIds);
 
 		if (next.has(modelId)) {
 			next.delete(modelId);
@@ -639,22 +647,22 @@ class ModelsStore {
 			next.add(modelId);
 		}
 
-		this.favouriteModelIds = next;
+		this.favoriteModelIds = next;
 
 		try {
-			localStorage.setItem(FAVOURITE_MODELS_LOCALSTORAGE_KEY, JSON.stringify([...next]));
+			localStorage.setItem(FAVORITE_MODELS_LOCALSTORAGE_KEY, JSON.stringify([...next]));
 		} catch {
-			toast.error('Failed to save favourite models to local storage');
+			toast.error('Failed to save favorite models to local storage');
 		}
 	}
 
-	private loadFavouritesFromStorage(): Set<string> {
+	private loadFavoritesFromStorage(): Set<string> {
 		try {
-			const raw = localStorage.getItem(FAVOURITE_MODELS_LOCALSTORAGE_KEY);
+			const raw = localStorage.getItem(FAVORITE_MODELS_LOCALSTORAGE_KEY);
 
 			return raw ? new Set(JSON.parse(raw) as string[]) : new Set();
 		} catch {
-			toast.error('Failed to load favourite models from local storage');
+			toast.error('Failed to load favorite models from local storage');
 
 			return new Set();
 		}
@@ -713,4 +721,4 @@ export const loadingModelIds = () => modelsStore.loadingModelIds;
 export const propsCacheVersion = () => modelsStore.propsCacheVersion;
 export const singleModelName = () => modelsStore.singleModelName;
 export const selectedModelContextSize = () => modelsStore.selectedModelContextSize;
-export const favouriteModelIds = () => modelsStore.favouriteModelIds;
+export const favoriteModelIds = () => modelsStore.favoriteModelIds;
diff --git a/tools/server/webui/src/lib/stores/settings.svelte.ts b/tools/server/webui/src/lib/stores/settings.svelte.ts
index 8ab817c071aedea95d72ceaad09c79476a8392a8..f591de26b7383156ed90709be53c2be79014caba 100644
--- a/tools/server/webui/src/lib/stores/settings.svelte.ts
+++ b/tools/server/webui/src/lib/stores/settings.svelte.ts
@@ -37,6 +37,7 @@ import {
 	SETTING_CONFIG_DEFAULT,
 	USER_OVERRIDES_LOCALSTORAGE_KEY
 } from '$lib/constants';
+import { IsMobile } from '$lib/hooks/is-mobile.svelte';
 import { ParameterSyncService } from '$lib/services/parameter-sync.service';
 import { serverStore } from '$lib/stores/server.svelte';
 import {
@@ -122,6 +123,13 @@ class SettingsStore {
 				...savedVal
 			};
 
+			// Default sendOnEnter to false on mobile when the user has no saved preference
+			if (!('sendOnEnter' in savedVal)) {
+				if (new IsMobile().current) {
+					this.config.sendOnEnter = false;
+				}
+			}
+
 			// Load user overrides
 			const savedOverrides = JSON.parse(
 				localStorage.getItem(USER_OVERRIDES_LOCALSTORAGE_KEY) || '[]'
@@ -287,18 +295,16 @@ class SettingsStore {
 	 */
 	resetParameterToServerDefault(key: string): void {
 		const serverDefaults = this.getServerDefaults();
+		const webuiSettings = serverStore.webuiSettings;
 
-		if (serverDefaults[key] !== undefined) {
-			const value = normalizeFloatingPoint(serverDefaults[key]);
-
-			this.config[key as keyof SettingsConfigType] =
-				value as SettingsConfigType[keyof SettingsConfigType];
-		} else {
-			if (key in SETTING_CONFIG_DEFAULT) {
-				const defaultValue = getConfigValue(SETTING_CONFIG_DEFAULT, key);
-
-				setConfigValue(this.config, key, defaultValue);
-			}
+		if (webuiSettings && key in webuiSettings) {
+			// UI setting from admin config: write actual value
+			setConfigValue(this.config, key, webuiSettings[key]);
+		} else if (serverDefaults[key] !== undefined) {
+			// sampling param known by server: clear it, let server decide
+			setConfigValue(this.config, key, '');
+		} else if (key in SETTING_CONFIG_DEFAULT) {
+			setConfigValue(this.config, key, getConfigValue(SETTING_CONFIG_DEFAULT, key));
 		}
 
 		this.userOverrides.delete(key);
@@ -319,12 +325,7 @@ class SettingsStore {
 	 */
 	syncWithServerDefaults(): void {
 		const propsDefaults = this.getServerDefaults();
-
-		if (Object.keys(propsDefaults).length === 0) {
-			console.warn('No server defaults available for initialization');
-
-			return;
-		}
+		if (Object.keys(propsDefaults).length === 0) return;
 
 		for (const [key, propsValue] of Object.entries(propsDefaults)) {
 			const currentValue = getConfigValue(this.config, key);
@@ -332,17 +333,25 @@ class SettingsStore {
 			const normalizedCurrent = normalizeFloatingPoint(currentValue);
 			const normalizedDefault = normalizeFloatingPoint(propsValue);
 
+			// if user value matches server, it's not a real override
 			if (normalizedCurrent === normalizedDefault) {
 				this.userOverrides.delete(key);
-				setConfigValue(this.config, key, propsValue);
-			} else if (!this.userOverrides.has(key)) {
-				setConfigValue(this.config, key, propsValue);
+			}
+		}
+
+		// webui settings need actual values in config (no placeholder mechanism),
+		// so write them for non-overridden keys
+		const webuiSettings = serverStore.webuiSettings;
+		if (webuiSettings) {
+			for (const [key, value] of Object.entries(webuiSettings)) {
+				if (!this.userOverrides.has(key) && value !== undefined) {
+					setConfigValue(this.config, key, value);
+				}
 			}
 		}
 
 		this.saveConfig();
-		console.log('Settings initialized with props defaults:', propsDefaults);
-		console.log('Current user overrides after sync:', Array.from(this.userOverrides));
+		console.log('User overrides after sync:', Array.from(this.userOverrides));
 	}
 
 	/**
@@ -352,19 +361,17 @@ class SettingsStore {
 	 */
 	forceSyncWithServerDefaults(): void {
 		const propsDefaults = this.getServerDefaults();
-		const syncableKeys = ParameterSyncService.getSyncableParameterKeys();
-
-		for (const key of syncableKeys) {
-			if (propsDefaults[key] !== undefined) {
-				const normalizedValue = normalizeFloatingPoint(propsDefaults[key]);
-
-				setConfigValue(this.config, key, normalizedValue);
-			} else {
-				if (key in SETTING_CONFIG_DEFAULT) {
-					const defaultValue = getConfigValue(SETTING_CONFIG_DEFAULT, key);
+		const webuiSettings = serverStore.webuiSettings;
 
-					setConfigValue(this.config, key, defaultValue);
-				}
+		for (const key of ParameterSyncService.getSyncableParameterKeys()) {
+			if (webuiSettings && key in webuiSettings) {
+				// UI setting from admin config: write actual value
+				setConfigValue(this.config, key, webuiSettings[key]);
+			} else if (propsDefaults[key] !== undefined) {
+				// sampling param: clear it, let server decide
+				setConfigValue(this.config, key, '');
+			} else if (key in SETTING_CONFIG_DEFAULT) {
+				setConfigValue(this.config, key, getConfigValue(SETTING_CONFIG_DEFAULT, key));
 			}
 
 			this.userOverrides.delete(key);
diff --git a/tools/server/webui/src/lib/types/agentic.d.ts b/tools/server/webui/src/lib/types/agentic.d.ts
index f9d256e589a62641470d0cc5bf9c33045dcab5f5..377f885d549f2a554938142911d8a834930449cf 100644
--- a/tools/server/webui/src/lib/types/agentic.d.ts
+++ b/tools/server/webui/src/lib/types/agentic.d.ts
@@ -2,6 +2,7 @@ import type { MessageRole } from '$lib/enums';
 import { ToolCallType } from '$lib/enums';
 import type {
 	ApiChatCompletionRequest,
+	ApiChatCompletionToolCall,
 	ApiChatMessageContentPart,
 	ApiChatMessageData
 } from './api';
@@ -40,6 +41,7 @@ export type AgenticMessage =
 	| {
 			role: MessageRole.ASSISTANT;
 			content?: string | ApiChatMessageContentPart[];
+			reasoning_content?: string;
 			tool_calls?: AgenticToolCallPayload[];
 	  }
 	| {
@@ -70,22 +72,48 @@ export interface AgenticSession {
 }
 
 /**
- * Callbacks for agentic flow execution
+ * Callbacks for agentic flow execution.
+ *
+ * The agentic loop creates separate DB messages for each turn:
+ * - assistant messages (one per LLM turn, with tool_calls if any)
+ * - tool result messages (one per tool call execution)
+ *
+ * The first assistant message is created by the caller before starting the flow.
+ * Subsequent messages are created via createToolResultMessage / createAssistantMessage.
  */
 export interface AgenticFlowCallbacks {
+	/** Content chunk for the current assistant message */
 	onChunk?: (chunk: string) => void;
+	/** Reasoning content chunk for the current assistant message */
 	onReasoningChunk?: (chunk: string) => void;
-	onToolCallChunk?: (serializedToolCalls: string) => void;
-	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	/** Tool calls being streamed (partial, accumulating) for the current turn */
+	onToolCallsStreaming?: (toolCalls: ApiChatCompletionToolCall[]) => void;
+	/** Attachments extracted from tool results */
+	onAttachments?: (messageId: string, extras: DatabaseMessageExtra[]) => void;
+	/** Model name detected from response */
 	onModel?: (model: string) => void;
-	onComplete?: (
+	/** Current assistant turn's streaming is complete - save to DB */
+	onAssistantTurnComplete?: (
 		content: string,
-		reasoningContent?: string,
-		timings?: ChatMessageTimings,
-		toolCalls?: string
-	) => void;
+		reasoningContent: string | undefined,
+		timings: ChatMessageTimings | undefined,
+		toolCalls: ApiChatCompletionToolCall[] | undefined
+	) => Promise<void>;
+	/** Create a tool result message in the DB tree */
+	createToolResultMessage?: (
+		toolCallId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	) => Promise<DatabaseMessage>;
+	/** Create a new assistant message for the next agentic turn */
+	createAssistantMessage?: () => Promise<DatabaseMessage>;
+	/** Entire agentic flow is complete */
+	onFlowComplete?: (timings?: ChatMessageTimings) => void;
+	/** Error during flow */
 	onError?: (error: Error) => void;
+	/** Timing updates during streaming */
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
+	/** An agentic turn (LLM + tool execution) completed - intermediate timing update */
 	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
 }
 
diff --git a/tools/server/webui/src/lib/types/api.d.ts b/tools/server/webui/src/lib/types/api.d.ts
index c908258427bfc59029d0b71a3934faf6bbc675f7..c1a02342357d4df2b612cd94a1d7443cf64c5bdb 100644
--- a/tools/server/webui/src/lib/types/api.d.ts
+++ b/tools/server/webui/src/lib/types/api.d.ts
@@ -45,6 +45,7 @@ export interface ApiErrorResponse {
 export interface ApiChatMessageData {
 	role: ChatRole;
 	content: string | ApiChatMessageContentPart[];
+	reasoning_content?: string;
 	tool_calls?: ApiChatCompletionToolCall[];
 	tool_call_id?: string;
 	timestamp?: number;
@@ -54,7 +55,7 @@ export interface ApiChatMessageData {
  * Model status object from /models endpoint
  */
 export interface ApiModelStatus {
-	/** Status value: loaded, unloaded, loading, failed */
+	/** Status value: loaded, unloaded, loading, sleeping, failed */
 	value: ServerModelStatus;
 	/** Command line arguments used when loading (only for loaded models) */
 	args?: string[];
@@ -164,7 +165,7 @@ export interface ApiLlamaCppServerProps {
 			chat_format: string;
 			reasoning_format: string;
 			reasoning_in_content: boolean;
-			thinking_forced_open: boolean;
+			generation_prompt: string;
 			samplers: string[];
 			backend_sampling: boolean;
 			'speculative.n_max': number;
@@ -201,6 +202,9 @@ export interface ApiChatCompletionRequest {
 	messages: Array<{
 		role: ChatRole;
 		content: string | ApiChatMessageContentPart[];
+		reasoning_content?: string;
+		tool_calls?: ApiChatCompletionToolCall[];
+		tool_call_id?: string;
 	}>;
 	stream?: boolean;
 	model?: string;
@@ -332,7 +336,7 @@ export interface ApiSlotData {
 		chat_format: string;
 		reasoning_format: string;
 		reasoning_in_content: boolean;
-		thinking_forced_open: boolean;
+		generation_prompt: string;
 		samplers: string[];
 		backend_sampling: boolean;
 		'speculative.n_max': number;
diff --git a/tools/server/webui/src/lib/types/chat.d.ts b/tools/server/webui/src/lib/types/chat.d.ts
index 3d2dd930cd69c0028c67b183b77f8a475d306293..431cf523a65fd0d806fcabf8d1fc099eb9f3f6c1 100644
--- a/tools/server/webui/src/lib/types/chat.d.ts
+++ b/tools/server/webui/src/lib/types/chat.d.ts
@@ -1,5 +1,6 @@
 import type { ErrorDialogType } from '$lib/enums';
-import type { DatabaseMessageExtra } from './database';
+import type { ApiChatCompletionToolCall } from './api';
+import type { DatabaseMessage, DatabaseMessageExtra } from './database';
 
 export interface ChatUploadedFile {
 	id: string;
@@ -99,21 +100,28 @@ export interface ChatMessageToolCallTiming {
 }
 
 /**
- * Callbacks for streaming chat responses
+ * Callbacks for streaming chat responses (used by both agentic and non-agentic paths)
  */
 export interface ChatStreamCallbacks {
 	onChunk?: (chunk: string) => void;
 	onReasoningChunk?: (chunk: string) => void;
-	onToolCallChunk?: (chunk: string) => void;
-	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	onToolCallsStreaming?: (toolCalls: ApiChatCompletionToolCall[]) => void;
+	onAttachments?: (messageId: string, extras: DatabaseMessageExtra[]) => void;
 	onModel?: (model: string) => void;
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
-	onComplete?: (
-		content?: string,
-		reasoningContent?: string,
-		timings?: ChatMessageTimings,
-		toolCallContent?: string
-	) => void;
+	onAssistantTurnComplete?: (
+		content: string,
+		reasoningContent: string | undefined,
+		timings: ChatMessageTimings | undefined,
+		toolCalls: ApiChatCompletionToolCall[] | undefined
+	) => Promise<void>;
+	createToolResultMessage?: (
+		toolCallId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	) => Promise<DatabaseMessage>;
+	createAssistantMessage?: () => Promise<DatabaseMessage>;
+	onFlowComplete?: (timings?: ChatMessageTimings) => void;
 	onError?: (error: Error) => void;
 	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
 }
diff --git a/tools/server/webui/src/lib/types/database.d.ts b/tools/server/webui/src/lib/types/database.d.ts
index 50f51ecf5dc5a62b61fb3828a3d70877f0a6662b..2f96ef3f70a6cb411a20624c8e511a274d657958 100644
--- a/tools/server/webui/src/lib/types/database.d.ts
+++ b/tools/server/webui/src/lib/types/database.d.ts
@@ -12,6 +12,7 @@ export interface DatabaseConversation {
 	lastModified: number;
 	name: string;
 	mcpServerOverrides?: McpServerOverride[];
+	forkedFromConversationId?: string;
 }
 
 export interface DatabaseMessageExtraAudioFile {
@@ -91,6 +92,8 @@ export interface DatabaseMessage {
 	 * @deprecated - left for backward compatibility
 	 */
 	thinking?: string;
+	/** Reasoning content produced by the model (separate from visible content) */
+	reasoningContent?: string;
 	/** Serialized JSON array of tool calls made by assistant messages */
 	toolCalls?: string;
 	/** Tool call ID for tool result messages (role: 'tool') */
diff --git a/tools/server/webui/src/lib/types/models.d.ts b/tools/server/webui/src/lib/types/models.d.ts
index dc8e86485ceb32d78ae8cdf3569b7c31c056b87e..b4d5f11f576b2099416e6ce06ff320bb038f4f39 100644
--- a/tools/server/webui/src/lib/types/models.d.ts
+++ b/tools/server/webui/src/lib/types/models.d.ts
@@ -25,7 +25,6 @@ export interface ParsedModelId {
 	modelName: string | null;
 	params: string | null;
 	activatedParams: string | null;
-	format: string | null;
 	quantization: string | null;
 	tags: string[];
 }
diff --git a/tools/server/webui/src/lib/types/settings.d.ts b/tools/server/webui/src/lib/types/settings.d.ts
index 67194d12ec0174fb2d78ff57dbae4bdc4cb29525..4c545ce1dc64148e21933612bbdffed8ee14e99c 100644
--- a/tools/server/webui/src/lib/types/settings.d.ts
+++ b/tools/server/webui/src/lib/types/settings.d.ts
@@ -5,7 +5,7 @@ import type { DatabaseMessageExtra } from './database';
 import type { ParameterSource, SyncableParameterType, SettingsFieldType } from '$lib/enums';
 import type { Icon } from '@lucide/svelte';
 
-export type SettingsConfigValue = string | number | boolean;
+export type SettingsConfigValue = string | number | boolean | undefined;
 
 export interface SettingsFieldConfig {
 	key: string;
@@ -24,6 +24,8 @@ export interface SettingsChatServiceOptions {
 	systemMessage?: string;
 	// Disable reasoning parsing (use 'none' instead of 'auto')
 	disableReasoningParsing?: boolean;
+	// Strip reasoning content from context before sending
+	excludeReasoningFromContext?: boolean;
 	tools?: OpenAIToolDefinition[];
 	// Generation parameters
 	temperature?: number;
diff --git a/tools/server/webui/src/lib/utils/agentic.ts b/tools/server/webui/src/lib/utils/agentic.ts
index 330b924bcd8b3c6bec86fd24736d5c39e2e4a75c..868545495f6668bd89508398329bff4fb255aeed 100644
--- a/tools/server/webui/src/lib/utils/agentic.ts
+++ b/tools/server/webui/src/lib/utils/agentic.ts
@@ -1,8 +1,15 @@
-import { AgenticSectionType } from '$lib/enums';
-import { AGENTIC_TAGS, AGENTIC_REGEX, REASONING_TAGS, TRIM_NEWLINES_REGEX } from '$lib/constants';
+import { AgenticSectionType, MessageRole } from '$lib/enums';
+import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
+import type { ApiChatCompletionToolCall } from '$lib/types/api';
+import type {
+	DatabaseMessage,
+	DatabaseMessageExtra,
+	DatabaseMessageExtraImageFile
+} from '$lib/types/database';
+import { AttachmentType } from '$lib/enums';
 
 /**
- * Represents a parsed section of agentic content
+ * Represents a parsed section of agentic content for display
  */
 export interface AgenticSection {
 	type: AgenticSectionType;
@@ -10,275 +17,205 @@ export interface AgenticSection {
 	toolName?: string;
 	toolArgs?: string;
 	toolResult?: string;
+	toolResultExtras?: DatabaseMessageExtra[];
 }
 
 /**
- * Represents a segment of content that may contain reasoning blocks
+ * Represents a tool result line that may reference an image attachment
  */
-type ReasoningSegment = {
-	type:
-		| AgenticSectionType.TEXT
-		| AgenticSectionType.REASONING
-		| AgenticSectionType.REASONING_PENDING;
-	content: string;
+export type ToolResultLine = {
+	text: string;
+	image?: DatabaseMessageExtraImageFile;
 };
 
 /**
- * Parses agentic content into structured sections
- *
- * Main parsing function that processes content containing:
- * - Tool calls (completed, pending, or streaming)
- * - Reasoning blocks (completed or streaming)
- * - Regular text content
- *
- * The parser handles chronological display of agentic flow output, maintaining
- * the order of operations and properly identifying different states of tool calls
- * and reasoning blocks during streaming.
+ * Derives display sections from a single assistant message and its direct tool results.
  *
- * @param rawContent - The raw content string to parse
- * @returns Array of structured agentic sections ready for display
- *
- * @example
- * ```typescript
- * const content = "Some text <<<AGENTIC_TOOL_CALL>>>tool_name...";
- * const sections = parseAgenticContent(content);
- * // Returns: [{ type: 'text', content: 'Some text' }, { type: 'tool_call_streaming', ... }]
- * ```
+ * @param message - The assistant message
+ * @param toolMessages - Tool result messages for this assistant's tool_calls
+ * @param streamingToolCalls - Partial tool calls during streaming (not yet persisted)
  */
-export function parseAgenticContent(rawContent: string): AgenticSection[] {
-	if (!rawContent) return [];
-
-	const segments = splitReasoningSegments(rawContent);
+function deriveSingleTurnSections(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = [],
+	streamingToolCalls: ApiChatCompletionToolCall[] = [],
+	isStreaming: boolean = false
+): AgenticSection[] {
 	const sections: AgenticSection[] = [];
 
-	for (const segment of segments) {
-		if (segment.type === AgenticSectionType.TEXT) {
-			sections.push(...parseToolCallContent(segment.content));
-			continue;
-		}
-
-		if (segment.type === AgenticSectionType.REASONING) {
-			if (segment.content.trim()) {
-				sections.push({ type: AgenticSectionType.REASONING, content: segment.content });
-			}
-			continue;
-		}
-
+	// 1. Reasoning content (from dedicated field)
+	if (message.reasoningContent) {
+		const toolCalls = parseToolCalls(message.toolCalls);
+		const hasContentAfterReasoning =
+			!!message.content?.trim() || toolCalls.length > 0 || streamingToolCalls.length > 0;
+		const isPending = isStreaming && !hasContentAfterReasoning;
 		sections.push({
-			type: AgenticSectionType.REASONING_PENDING,
-			content: segment.content
+			type: isPending ? AgenticSectionType.REASONING_PENDING : AgenticSectionType.REASONING,
+			content: message.reasoningContent
 		});
 	}
 
-	return sections;
-}
-
-/**
- * Parses content containing tool call markers
- *
- * Identifies and extracts tool calls from content, handling:
- * - Completed tool calls with name, arguments, and results
- * - Pending tool calls (execution in progress)
- * - Streaming tool calls (arguments being received)
- * - Early-stage tool calls (just started)
- *
- * @param rawContent - The raw content string to parse
- * @returns Array of agentic sections representing tool calls and text
- */
-function parseToolCallContent(rawContent: string): AgenticSection[] {
-	if (!rawContent) return [];
-
-	const sections: AgenticSection[] = [];
-
-	const completedToolCallRegex = new RegExp(AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
-
-	let lastIndex = 0;
-	let match;
-
-	while ((match = completedToolCallRegex.exec(rawContent)) !== null) {
-		if (match.index > lastIndex) {
-			const textBefore = rawContent.slice(lastIndex, match.index).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const toolName = match[1];
-		const toolArgs = match[2];
-		const toolResult = match[3].replace(TRIM_NEWLINES_REGEX, '');
-
+	// 2. Text content
+	if (message.content?.trim()) {
 		sections.push({
-			type: AgenticSectionType.TOOL_CALL,
-			content: toolResult,
-			toolName,
-			toolArgs,
-			toolResult
+			type: AgenticSectionType.TEXT,
+			content: message.content
 		});
-
-		lastIndex = match.index + match[0].length;
 	}
 
-	const remainingContent = rawContent.slice(lastIndex);
-
-	const pendingMatch = remainingContent.match(AGENTIC_REGEX.PENDING_TOOL_CALL);
-	const partialWithNameMatch = remainingContent.match(AGENTIC_REGEX.PARTIAL_WITH_NAME);
-	const earlyMatch = remainingContent.match(AGENTIC_REGEX.EARLY_MATCH);
-
-	if (pendingMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const toolName = pendingMatch[1];
-		const toolArgs = pendingMatch[2];
-		const streamingResult = (pendingMatch[3] || '').replace(TRIM_NEWLINES_REGEX, '');
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_PENDING,
-			content: streamingResult,
-			toolName,
-			toolArgs,
-			toolResult: streamingResult || undefined
-		});
-	} else if (partialWithNameMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const partialArgs = partialWithNameMatch[2] || '';
-
+	// 3. Persisted tool calls (from message.toolCalls field)
+	const toolCalls = parseToolCalls(message.toolCalls);
+	for (const tc of toolCalls) {
+		const resultMsg = toolMessages.find((m) => m.toolCallId === tc.id);
 		sections.push({
-			type: AgenticSectionType.TOOL_CALL_STREAMING,
-			content: '',
-			toolName: partialWithNameMatch[1],
-			toolArgs: partialArgs || undefined,
-			toolResult: undefined
+			type: resultMsg ? AgenticSectionType.TOOL_CALL : AgenticSectionType.TOOL_CALL_PENDING,
+			content: resultMsg?.content || '',
+			toolName: tc.function?.name,
+			toolArgs: tc.function?.arguments,
+			toolResult: resultMsg?.content,
+			toolResultExtras: resultMsg?.extra
 		});
-	} else if (earlyMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const nameMatch = earlyMatch[1]?.match(AGENTIC_REGEX.TOOL_NAME_EXTRACT);
+	}
 
+	// 4. Streaming tool calls (not yet persisted - currently being received)
+	for (const tc of streamingToolCalls) {
+		// Skip if already in persisted tool calls
+		if (tc.id && toolCalls.find((t) => t.id === tc.id)) continue;
 		sections.push({
 			type: AgenticSectionType.TOOL_CALL_STREAMING,
 			content: '',
-			toolName: nameMatch?.[1],
-			toolArgs: undefined,
-			toolResult: undefined
+			toolName: tc.function?.name,
+			toolArgs: tc.function?.arguments
 		});
-	} else if (lastIndex < rawContent.length) {
-		let remainingText = rawContent.slice(lastIndex).trim();
-
-		const partialMarkerMatch = remainingText.match(AGENTIC_REGEX.PARTIAL_MARKER);
-
-		if (partialMarkerMatch) {
-			remainingText = remainingText.slice(0, partialMarkerMatch.index).trim();
-		}
-
-		if (remainingText) {
-			sections.push({ type: AgenticSectionType.TEXT, content: remainingText });
-		}
-	}
-
-	if (sections.length === 0 && rawContent.trim()) {
-		sections.push({ type: AgenticSectionType.TEXT, content: rawContent });
 	}
 
 	return sections;
 }
 
 /**
- * Strips partial marker from text content
+ * Derives display sections from structured message data.
  *
- * Removes incomplete agentic markers (e.g., "<<<", "<<<AGENTIC") that may appear
- * at the end of streaming content.
+ * Handles both single-turn (one assistant + its tool results) and multi-turn
+ * agentic sessions (multiple assistant + tool messages grouped together).
  *
- * @param text - The text content to process
- * @returns Text with partial markers removed
+ * When `toolMessages` contains continuation assistant messages (from multi-turn
+ * agentic flows), they are processed in order to produce sections across all turns.
+ *
+ * @param message - The first/anchor assistant message
+ * @param toolMessages - Tool result messages and continuation assistant messages
+ * @param streamingToolCalls - Partial tool calls during streaming (not yet persisted)
+ * @param isStreaming - Whether the message is currently being streamed
  */
-function stripPartialMarker(text: string): string {
-	const partialMarkerMatch = text.match(AGENTIC_REGEX.PARTIAL_MARKER);
-
-	if (partialMarkerMatch) {
-		return text.slice(0, partialMarkerMatch.index).trim();
+export function deriveAgenticSections(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = [],
+	streamingToolCalls: ApiChatCompletionToolCall[] = [],
+	isStreaming: boolean = false
+): AgenticSection[] {
+	const hasAssistantContinuations = toolMessages.some((m) => m.role === MessageRole.ASSISTANT);
+
+	if (!hasAssistantContinuations) {
+		return deriveSingleTurnSections(message, toolMessages, streamingToolCalls, isStreaming);
 	}
 
-	return text;
-}
+	const sections: AgenticSection[] = [];
 
-/**
- * Splits raw content into segments based on reasoning blocks
- *
- * Identifies and extracts reasoning content wrapped in REASONING_TAGS.START/END markers,
- * separating it from regular text content. Handles both complete and incomplete
- * (streaming) reasoning blocks.
- *
- * @param rawContent - The raw content string to parse
- * @returns Array of reasoning segments with their types and content
- */
-function splitReasoningSegments(rawContent: string): ReasoningSegment[] {
-	if (!rawContent) return [];
+	const firstTurnToolMsgs = collectToolMessages(toolMessages, 0);
+	sections.push(...deriveSingleTurnSections(message, firstTurnToolMsgs));
 
-	const segments: ReasoningSegment[] = [];
-	let cursor = 0;
+	let i = firstTurnToolMsgs.length;
 
-	while (cursor < rawContent.length) {
-		const startIndex = rawContent.indexOf(REASONING_TAGS.START, cursor);
+	while (i < toolMessages.length) {
+		const msg = toolMessages[i];
 
-		if (startIndex === -1) {
-			const remainingText = rawContent.slice(cursor);
+		if (msg.role === MessageRole.ASSISTANT) {
+			const turnToolMsgs = collectToolMessages(toolMessages, i + 1);
+			const isLastTurn = i + 1 + turnToolMsgs.length >= toolMessages.length;
 
-			if (remainingText) {
-				segments.push({ type: AgenticSectionType.TEXT, content: remainingText });
-			}
+			sections.push(
+				...deriveSingleTurnSections(
+					msg,
+					turnToolMsgs,
+					isLastTurn ? streamingToolCalls : [],
+					isLastTurn && isStreaming
+				)
+			);
 
-			break;
+			i += 1 + turnToolMsgs.length;
+		} else {
+			i++;
 		}
+	}
 
-		if (startIndex > cursor) {
-			const textBefore = rawContent.slice(cursor, startIndex);
+	return sections;
+}
+
+/**
+ * Collect consecutive tool messages starting at `startIndex`.
+ */
+function collectToolMessages(messages: DatabaseMessage[], startIndex: number): DatabaseMessage[] {
+	const result: DatabaseMessage[] = [];
 
-			if (textBefore) {
-				segments.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
+	for (let i = startIndex; i < messages.length; i++) {
+		if (messages[i].role === MessageRole.TOOL) {
+			result.push(messages[i]);
+		} else {
+			break;
 		}
+	}
 
-		const contentStart = startIndex + REASONING_TAGS.START.length;
-		const endIndex = rawContent.indexOf(REASONING_TAGS.END, contentStart);
+	return result;
+}
+
+/**
+ * Parse tool result text into lines, matching image attachments by name.
+ */
+export function parseToolResultWithImages(
+	toolResult: string,
+	extras?: DatabaseMessageExtra[]
+): ToolResultLine[] {
+	const lines = toolResult.split(NEWLINE_SEPARATOR);
+	return lines.map((line) => {
+		const match = line.match(ATTACHMENT_SAVED_REGEX);
+		if (!match || !extras) return { text: line };
+
+		const attachmentName = match[1];
+		const image = extras.find(
+			(e): e is DatabaseMessageExtraImageFile =>
+				e.type === AttachmentType.IMAGE && e.name === attachmentName
+		);
+
+		return { text: line, image };
+	});
+}
 
-		if (endIndex === -1) {
-			const pendingContent = rawContent.slice(contentStart);
+/**
+ * Safely parse the toolCalls JSON string from a DatabaseMessage.
+ */
+function parseToolCalls(toolCallsJson?: string): ApiChatCompletionToolCall[] {
+	if (!toolCallsJson) return [];
 
-			segments.push({
-				type: AgenticSectionType.REASONING_PENDING,
-				content: stripPartialMarker(pendingContent)
-			});
+	try {
+		const parsed = JSON.parse(toolCallsJson);
 
-			break;
-		}
+		return Array.isArray(parsed) ? parsed : [];
+	} catch {
+		return [];
+	}
+}
 
-		const reasoningContent = rawContent.slice(contentStart, endIndex);
-		segments.push({ type: AgenticSectionType.REASONING, content: reasoningContent });
-		cursor = endIndex + REASONING_TAGS.END.length;
+/**
+ * Check if a message has agentic content (tool calls or is part of an agentic flow).
+ */
+export function hasAgenticContent(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = []
+): boolean {
+	if (message.toolCalls) {
+		const tc = parseToolCalls(message.toolCalls);
+
+		if (tc.length > 0) return true;
 	}
 
-	return segments;
+	return toolMessages.length > 0;
 }
diff --git a/tools/server/webui/src/lib/utils/api-headers.ts b/tools/server/webui/src/lib/utils/api-headers.ts
index 77ce3e88cb16ac06b92e42806fdd1eadcbca927c..c0a5309b99db9f0426785428371ea354c2fada9e 100644
--- a/tools/server/webui/src/lib/utils/api-headers.ts
+++ b/tools/server/webui/src/lib/utils/api-headers.ts
@@ -1,4 +1,6 @@
 import { config } from '$lib/stores/settings.svelte';
+import { REDACTED_HEADERS } from '$lib/constants';
+import { redactValue } from './redact';
 
 /**
  * Get authorization headers for API requests
@@ -20,3 +22,46 @@ export function getJsonHeaders(): Record<string, string> {
 		...getAuthHeaders()
 	};
 }
+
+/**
+ * Sanitize HTTP headers by redacting sensitive values.
+ * Known sensitive headers (from REDACTED_HEADERS) and any extra headers
+ * specified by the caller are fully redacted. Headers listed in
+ * `partialRedactHeaders` are partially redacted, showing only the
+ * specified number of trailing characters.
+ *
+ * @param headers - Headers to sanitize
+ * @param extraRedactedHeaders - Additional header names to fully redact
+ * @param partialRedactHeaders - Map of header name -> number of trailing chars to keep visible
+ * @returns Object with header names as keys and (possibly redacted) values
+ */
+export function sanitizeHeaders(
+	headers?: HeadersInit,
+	extraRedactedHeaders?: Iterable<string>,
+	partialRedactHeaders?: Map<string, number>
+): Record<string, string> {
+	if (!headers) {
+		return {};
+	}
+
+	const normalized = new Headers(headers);
+	const sanitized: Record<string, string> = {};
+	const redactedHeaders = new Set(
+		Array.from(extraRedactedHeaders ?? [], (header) => header.toLowerCase())
+	);
+
+	for (const [key, value] of normalized.entries()) {
+		const normalizedKey = key.toLowerCase();
+		const partialChars = partialRedactHeaders?.get(normalizedKey);
+
+		if (partialChars !== undefined) {
+			sanitized[key] = redactValue(value, partialChars);
+		} else if (REDACTED_HEADERS.has(normalizedKey) || redactedHeaders.has(normalizedKey)) {
+			sanitized[key] = redactValue(value);
+		} else {
+			sanitized[key] = value;
+		}
+	}
+
+	return sanitized;
+}
diff --git a/tools/server/webui/src/lib/utils/branching.ts b/tools/server/webui/src/lib/utils/branching.ts
index e60fb206f7d06e8ef565a6d6b40e402017ffb587..4e117b3c2a61266a6da1cd9028a004f536e6b683 100644
--- a/tools/server/webui/src/lib/utils/branching.ts
+++ b/tools/server/webui/src/lib/utils/branching.ts
@@ -17,6 +17,17 @@
 
 import { MessageRole } from '$lib/enums';
 
+/**
+ * Finds a message by its ID in the given messages array.
+ */
+export function findMessageById(
+	messages: readonly DatabaseMessage[],
+	id: string | null | undefined
+): DatabaseMessage | undefined {
+	if (!id) return undefined;
+	return messages.find((m) => m.id === id);
+}
+
 /**
  * Filters messages to get the conversation path from root to a specific leaf node.
  * If the leafNodeId doesn't exist, returns the path with the latest timestamp.
diff --git a/tools/server/webui/src/lib/utils/cors-proxy.ts b/tools/server/webui/src/lib/utils/cors-proxy.ts
index 39c368ba0beb8967c459492bd7dace06b8e0338b..9ad6c8b5dc2504d29bfe73f53ab7057fed3293ce 100644
--- a/tools/server/webui/src/lib/utils/cors-proxy.ts
+++ b/tools/server/webui/src/lib/utils/cors-proxy.ts
@@ -19,6 +19,21 @@ export function buildProxiedUrl(targetUrl: string): URL {
 	return proxyUrl;
 }
 
+/**
+ * Wrap original headers for proxying through the CORS proxy. This avoids issues with duplicated llama.cpp-specific and target headers when using the CORS proxy.
+ * @param headers - The original headers to be proxied to target
+ * @returns List of "wrapped" headers to be sent to the CORS proxy
+ */
+export function buildProxiedHeaders(headers: Record<string, string>): Record<string, string> {
+	const proxiedHeaders: Record<string, string> = {};
+
+	for (const [key, value] of Object.entries(headers)) {
+		proxiedHeaders[`x-proxy-header-${key}`] = value;
+	}
+
+	return proxiedHeaders;
+}
+
 /**
  * Get a proxied URL string for use in fetch requests.
  * @param targetUrl - The original URL to proxy
diff --git a/tools/server/webui/src/lib/utils/index.ts b/tools/server/webui/src/lib/utils/index.ts
index 2caaf9ac3b377d8df7a045e943a41b9c6c916a24..bc158103e2d73dfcb33df115bcde8c19411dde5c 100644
--- a/tools/server/webui/src/lib/utils/index.ts
+++ b/tools/server/webui/src/lib/utils/index.ts
@@ -8,7 +8,7 @@
  */
 
 // API utilities
-export { getAuthHeaders, getJsonHeaders } from './api-headers';
+export { getAuthHeaders, getJsonHeaders, sanitizeHeaders } from './api-headers';
 export { apiFetch, apiFetchWithParams, apiPost, type ApiFetchOptions } from './api-fetch';
 export { validateApiKey } from './api-key-validation';
 
@@ -22,6 +22,7 @@ export { default as autoResizeTextarea } from './autoresize-textarea';
 // Branching utilities
 export {
 	filterByLeafNodeId,
+	findMessageById,
 	findLeafNode,
 	findDescendantMessages,
 	getMessageSiblings,
@@ -38,7 +39,7 @@ export { highlightCode, detectIncompleteCodeBlock, type IncompleteCodeBlock } fr
 export { setConfigValue, getConfigValue, configToParameterRecord } from './config-helpers';
 
 // CORS Proxy
-export { buildProxiedUrl, getProxiedUrlString } from './cors-proxy';
+export { buildProxiedUrl, getProxiedUrlString, buildProxiedHeaders } from './cors-proxy';
 
 // Conversation utilities
 export { createMessageCountMap, getMessageCount } from './conversation-utils';
@@ -54,7 +55,7 @@ export {
 
 // File preview utilities
 export { getFileTypeLabel } from './file-preview';
-export { getPreviewText } from './text';
+export { getPreviewText, generateConversationTitle } from './text';
 
 // File type utilities
 export {
@@ -148,12 +149,35 @@ export { parseHeadersToArray, serializeHeaders } from './headers';
 // Favicon utilities
 export { getFaviconUrl } from './favicon';
 
-// Agentic content parsing utilities
-export { parseAgenticContent, type AgenticSection } from './agentic';
+// Agentic content utilities (structured section derivation)
+export {
+	deriveAgenticSections,
+	parseToolResultWithImages,
+	hasAgenticContent,
+	type AgenticSection,
+	type ToolResultLine
+} from './agentic';
+
+// Legacy migration utilities
+export { runLegacyMigration, isMigrationNeeded } from './legacy-migration';
 
 // Cache utilities
 export { TTLCache, ReactiveTTLMap, type TTLCacheOptions } from './cache-ttl';
 
+// Redaction utilities
+export { redactValue } from './redact';
+
+// Request inspection utilities
+export {
+	getRequestUrl,
+	getRequestMethod,
+	getRequestBody,
+	summarizeRequestBody,
+	formatDiagnosticErrorMessage,
+	extractJsonRpcMethods,
+	type RequestBodySummary
+} from './request-helpers';
+
 // Abort signal utilities
 export {
 	throwIfAborted,
diff --git a/tools/server/webui/src/lib/utils/legacy-migration.ts b/tools/server/webui/src/lib/utils/legacy-migration.ts
new file mode 100644
index 0000000000000000000000000000000000000000..b526c260984fbaa43a0e86d4bc735fbe84e354e1
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/legacy-migration.ts
@@ -0,0 +1,345 @@
+/**
+ * @deprecated Legacy migration utility — remove at some point in the future once all users have migrated to the new structured agentic message format.
+ *
+ * Converts old marker-based agentic messages to the new structured format
+ * with separate messages per turn.
+ *
+ * Old format: Single assistant message with markers in content:
+ *   <<<reasoning_content_start>>>...<<<reasoning_content_end>>>
+ *   <<<AGENTIC_TOOL_CALL_START>>>...<<<AGENTIC_TOOL_CALL_END>>>
+ *
+ * New format: Separate messages per turn:
+ *   - assistant (content + reasoningContent + toolCalls)
+ *   - tool (toolCallId + content)
+ *   - assistant (next turn)
+ *   - ...
+ */
+
+import { LEGACY_AGENTIC_REGEX, LEGACY_REASONING_TAGS } from '$lib/constants';
+import { DatabaseService } from '$lib/services/database.service';
+import { MessageRole, MessageType } from '$lib/enums';
+import type { DatabaseMessage } from '$lib/types/database';
+
+const MIGRATION_DONE_KEY = 'llama-webui-migration-v2-done';
+
+/**
+ * @deprecated Part of legacy migration — remove with the migration module.
+ * Check if migration has been performed.
+ */
+export function isMigrationNeeded(): boolean {
+	try {
+		return !localStorage.getItem(MIGRATION_DONE_KEY);
+	} catch {
+		return false;
+	}
+}
+
+/**
+ * Mark migration as done.
+ */
+function markMigrationDone(): void {
+	try {
+		localStorage.setItem(MIGRATION_DONE_KEY, String(Date.now()));
+	} catch {
+		// Ignore localStorage errors
+	}
+}
+
+/**
+ * Check if a message has legacy markers in its content.
+ */
+function hasLegacyMarkers(message: DatabaseMessage): boolean {
+	if (!message.content) return false;
+	return LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test(message.content);
+}
+
+/**
+ * Extract reasoning content from legacy marker format.
+ */
+function extractLegacyReasoning(content: string): { reasoning: string; cleanContent: string } {
+	let reasoning = '';
+	let cleanContent = content;
+
+	// Extract all reasoning blocks
+	const re = new RegExp(LEGACY_AGENTIC_REGEX.REASONING_EXTRACT.source, 'g');
+	let match;
+	while ((match = re.exec(content)) !== null) {
+		reasoning += match[1];
+	}
+
+	// Remove reasoning tags from content
+	cleanContent = cleanContent
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN, '');
+
+	return { reasoning, cleanContent };
+}
+
+/**
+ * Parse legacy content with tool call markers into structured turns.
+ */
+interface ParsedTurn {
+	textBefore: string;
+	toolCalls: Array<{
+		name: string;
+		args: string;
+		result: string;
+	}>;
+}
+
+function parseLegacyToolCalls(content: string): ParsedTurn[] {
+	const turns: ParsedTurn[] = [];
+	const regex = new RegExp(LEGACY_AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
+
+	let lastIndex = 0;
+	let currentTurn: ParsedTurn = { textBefore: '', toolCalls: [] };
+	let match;
+
+	while ((match = regex.exec(content)) !== null) {
+		const textBefore = content.slice(lastIndex, match.index).trim();
+
+		// If there's text between tool calls and we already have tool calls,
+		// that means a new turn started (text after tool results = new LLM turn)
+		if (textBefore && currentTurn.toolCalls.length > 0) {
+			turns.push(currentTurn);
+			currentTurn = { textBefore, toolCalls: [] };
+		} else if (textBefore && currentTurn.toolCalls.length === 0) {
+			currentTurn.textBefore = textBefore;
+		}
+
+		currentTurn.toolCalls.push({
+			name: match[1],
+			args: match[2],
+			result: match[3].replace(/^\n+|\n+$/g, '')
+		});
+
+		lastIndex = match.index + match[0].length;
+	}
+
+	// Any remaining text after the last tool call
+	const remainingText = content.slice(lastIndex).trim();
+
+	if (currentTurn.toolCalls.length > 0) {
+		turns.push(currentTurn);
+	}
+
+	// If there's text after all tool calls, it's the final assistant response
+	if (remainingText) {
+		// Remove any partial/open markers
+		const cleanRemaining = remainingText
+			.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
+			.trim();
+		if (cleanRemaining) {
+			turns.push({ textBefore: cleanRemaining, toolCalls: [] });
+		}
+	}
+
+	// If no tool calls found at all, return the original content as a single turn
+	if (turns.length === 0) {
+		turns.push({ textBefore: content.trim(), toolCalls: [] });
+	}
+
+	return turns;
+}
+
+/**
+ * Migrate a single conversation's messages from legacy format to new format.
+ */
+async function migrateConversation(convId: string): Promise<number> {
+	const allMessages = await DatabaseService.getConversationMessages(convId);
+	let migratedCount = 0;
+
+	for (const message of allMessages) {
+		if (message.role !== MessageRole.ASSISTANT) continue;
+		if (!hasLegacyMarkers(message)) {
+			// Still check for reasoning-only markers (no tool calls)
+			if (message.content?.includes(LEGACY_REASONING_TAGS.START)) {
+				const { reasoning, cleanContent } = extractLegacyReasoning(message.content);
+				await DatabaseService.updateMessage(message.id, {
+					content: cleanContent.trim(),
+					reasoningContent: reasoning || undefined
+				});
+				migratedCount++;
+			}
+			continue;
+		}
+
+		// Has agentic markers - full migration needed
+		const { reasoning, cleanContent } = extractLegacyReasoning(message.content);
+		const turns = parseLegacyToolCalls(cleanContent);
+
+		// Parse existing toolCalls JSON to try to match IDs
+		let existingToolCalls: Array<{ id: string; function?: { name: string; arguments: string } }> =
+			[];
+		if (message.toolCalls) {
+			try {
+				existingToolCalls = JSON.parse(message.toolCalls);
+			} catch {
+				// Ignore
+			}
+		}
+
+		// First turn uses the existing message
+		const firstTurn = turns[0];
+		if (!firstTurn) continue;
+
+		// Match tool calls from the first turn to existing IDs
+		const firstTurnToolCalls = firstTurn.toolCalls.map((tc, i) => {
+			const existing =
+				existingToolCalls.find((e) => e.function?.name === tc.name) || existingToolCalls[i];
+			return {
+				id: existing?.id || `legacy_tool_${i}`,
+				type: 'function' as const,
+				function: { name: tc.name, arguments: tc.args }
+			};
+		});
+
+		// Update the existing message for the first turn
+		await DatabaseService.updateMessage(message.id, {
+			content: firstTurn.textBefore,
+			reasoningContent: reasoning || undefined,
+			toolCalls: firstTurnToolCalls.length > 0 ? JSON.stringify(firstTurnToolCalls) : ''
+		});
+
+		let currentParentId = message.id;
+		let toolCallIdCounter = existingToolCalls.length;
+
+		// Create tool result messages for the first turn
+		for (let i = 0; i < firstTurn.toolCalls.length; i++) {
+			const tc = firstTurn.toolCalls[i];
+			const toolCallId = firstTurnToolCalls[i]?.id || `legacy_tool_${i}`;
+
+			const toolMsg = await DatabaseService.createMessageBranch(
+				{
+					convId,
+					type: MessageType.TEXT,
+					role: MessageRole.TOOL,
+					content: tc.result,
+					toolCallId,
+					timestamp: message.timestamp + i + 1,
+					toolCalls: '',
+					children: []
+				},
+				currentParentId
+			);
+			currentParentId = toolMsg.id;
+		}
+
+		// Create messages for subsequent turns
+		for (let turnIdx = 1; turnIdx < turns.length; turnIdx++) {
+			const turn = turns[turnIdx];
+
+			const turnToolCalls = turn.toolCalls.map((tc, i) => {
+				const idx = toolCallIdCounter + i;
+				const existing = existingToolCalls[idx];
+				return {
+					id: existing?.id || `legacy_tool_${idx}`,
+					type: 'function' as const,
+					function: { name: tc.name, arguments: tc.args }
+				};
+			});
+			toolCallIdCounter += turn.toolCalls.length;
+
+			// Create assistant message for this turn
+			const assistantMsg = await DatabaseService.createMessageBranch(
+				{
+					convId,
+					type: MessageType.TEXT,
+					role: MessageRole.ASSISTANT,
+					content: turn.textBefore,
+					timestamp: message.timestamp + turnIdx * 100,
+					toolCalls: turnToolCalls.length > 0 ? JSON.stringify(turnToolCalls) : '',
+					children: [],
+					model: message.model
+				},
+				currentParentId
+			);
+			currentParentId = assistantMsg.id;
+
+			// Create tool result messages for this turn
+			for (let i = 0; i < turn.toolCalls.length; i++) {
+				const tc = turn.toolCalls[i];
+				const toolCallId = turnToolCalls[i]?.id || `legacy_tool_${toolCallIdCounter + i}`;
+
+				const toolMsg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.TOOL,
+						content: tc.result,
+						toolCallId,
+						timestamp: message.timestamp + turnIdx * 100 + i + 1,
+						toolCalls: '',
+						children: []
+					},
+					currentParentId
+				);
+				currentParentId = toolMsg.id;
+			}
+		}
+
+		// Re-parent any children of the original message to the last created message
+		// (the original message's children list was the next user message or similar)
+		if (message.children.length > 0 && currentParentId !== message.id) {
+			for (const childId of message.children) {
+				// Skip children we just created (they were already properly parented)
+				const child = allMessages.find((m) => m.id === childId);
+				if (!child) continue;
+				// Only re-parent non-tool messages that were original children
+				if (child.role !== MessageRole.TOOL) {
+					await DatabaseService.updateMessage(childId, { parent: currentParentId });
+					// Add to new parent's children
+					const newParent = await DatabaseService.getConversationMessages(convId).then((msgs) =>
+						msgs.find((m) => m.id === currentParentId)
+					);
+					if (newParent && !newParent.children.includes(childId)) {
+						await DatabaseService.updateMessage(currentParentId, {
+							children: [...newParent.children, childId]
+						});
+					}
+				}
+			}
+			// Clear re-parented children from the original message
+			await DatabaseService.updateMessage(message.id, { children: [] });
+		}
+
+		migratedCount++;
+	}
+
+	return migratedCount;
+}
+
+/**
+ * @deprecated Part of legacy migration — remove with the migration module.
+ * Run the full migration across all conversations.
+ * This should be called once at app startup if migration is needed.
+ */
+export async function runLegacyMigration(): Promise<void> {
+	if (!isMigrationNeeded()) return;
+
+	console.log('[Migration] Starting legacy message format migration...');
+
+	try {
+		const conversations = await DatabaseService.getAllConversations();
+		let totalMigrated = 0;
+
+		for (const conv of conversations) {
+			const count = await migrateConversation(conv.id);
+			totalMigrated += count;
+		}
+
+		if (totalMigrated > 0) {
+			console.log(
+				`[Migration] Migrated ${totalMigrated} messages across ${conversations.length} conversations`
+			);
+		} else {
+			console.log('[Migration] No legacy messages found, marking as done');
+		}
+
+		markMigrationDone();
+	} catch (error) {
+		console.error('[Migration] Failed to migrate legacy messages:', error);
+		// Still mark as done to avoid infinite retry loops
+		markMigrationDone();
+	}
+}
diff --git a/tools/server/webui/src/lib/utils/redact.ts b/tools/server/webui/src/lib/utils/redact.ts
new file mode 100644
index 0000000000000000000000000000000000000000..851be7bf4b34ba6293f0cf0a0f82c06a6c1d07a7
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/redact.ts
@@ -0,0 +1,14 @@
+/**
+ * Redacts a sensitive value, optionally showing the last N characters.
+ *
+ * @param value - The value to redact
+ * @param showLastChars - If provided, reveals the last N characters with a leading mask
+ * @returns The redacted string
+ */
+export function redactValue(value: string, showLastChars?: number): string {
+	if (showLastChars) {
+		return `....${value.slice(-showLastChars)}`;
+	}
+
+	return '[redacted]';
+}
diff --git a/tools/server/webui/src/lib/utils/request-helpers.ts b/tools/server/webui/src/lib/utils/request-helpers.ts
new file mode 100644
index 0000000000000000000000000000000000000000..8a11b8fb5ec3c5e90ac8f9f211598ece19a4b781
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/request-helpers.ts
@@ -0,0 +1,111 @@
+/**
+ * HTTP request inspection utilities for diagnostic logging.
+ * These helpers extract metadata from fetch-style request arguments
+ * without exposing sensitive payload data.
+ */
+
+export interface RequestBodySummary {
+	kind: string;
+	size?: number;
+}
+
+export function getRequestUrl(input: RequestInfo | URL): string {
+	if (typeof input === 'string') {
+		return input;
+	}
+
+	if (input instanceof URL) {
+		return input.href;
+	}
+
+	return input.url;
+}
+
+export function getRequestMethod(
+	input: RequestInfo | URL,
+	init?: RequestInit,
+	baseInit?: RequestInit
+): string {
+	if (init?.method) {
+		return init.method;
+	}
+
+	if (typeof Request !== 'undefined' && input instanceof Request) {
+		return input.method;
+	}
+
+	return baseInit?.method ?? 'GET';
+}
+
+export function getRequestBody(
+	input: RequestInfo | URL,
+	init?: RequestInit
+): BodyInit | null | undefined {
+	if (init?.body !== undefined) {
+		return init.body;
+	}
+
+	if (typeof Request !== 'undefined' && input instanceof Request) {
+		return input.body;
+	}
+
+	return undefined;
+}
+
+export function summarizeRequestBody(body: BodyInit | null | undefined): RequestBodySummary {
+	if (body == null) {
+		return { kind: 'empty' };
+	}
+
+	if (typeof body === 'string') {
+		return { kind: 'string', size: body.length };
+	}
+
+	if (body instanceof Blob) {
+		return { kind: 'blob', size: body.size };
+	}
+
+	if (body instanceof URLSearchParams) {
+		return { kind: 'urlsearchparams', size: body.toString().length };
+	}
+
+	if (body instanceof FormData) {
+		return { kind: 'formdata' };
+	}
+
+	if (body instanceof ArrayBuffer) {
+		return { kind: 'arraybuffer', size: body.byteLength };
+	}
+
+	if (ArrayBuffer.isView(body)) {
+		return { kind: body.constructor.name, size: body.byteLength };
+	}
+
+	return { kind: typeof body };
+}
+
+export function formatDiagnosticErrorMessage(error: unknown): string {
+	const message = error instanceof Error ? error.message : String(error);
+
+	return message.includes('Failed to fetch') ? `${message} (check CORS?)` : message;
+}
+
+export function extractJsonRpcMethods(body: BodyInit | null | undefined): string[] | undefined {
+	if (typeof body !== 'string') {
+		return undefined;
+	}
+
+	try {
+		const parsed = JSON.parse(body);
+		const messages = Array.isArray(parsed) ? parsed : [parsed];
+		const methods = messages
+			.map((message: Record<string, unknown>) =>
+				typeof message?.method === 'string' ? (message.method as string) : undefined
+			)
+			.filter((method: string | undefined): method is string => Boolean(method));
+
+		return methods.length > 0 ? methods : undefined;
+	} catch {
+		return undefined;
+	}
+}
diff --git a/tools/server/webui/src/lib/utils/text.ts b/tools/server/webui/src/lib/utils/text.ts
index 5c5dd0fe8c0b562c7814da50637a58190ad293be..a2a4a1b57aefb4a8b9ea8ce0af2aae10f848a7e2 100644
--- a/tools/server/webui/src/lib/utils/text.ts
+++ b/tools/server/webui/src/lib/utils/text.ts
@@ -1,3 +1,5 @@
+import { NEWLINE_SEPARATOR } from '$lib/constants';
+
 /**
  * Returns a shortened preview of the provided content capped at the given length.
  * Appends an ellipsis when the content exceeds the maximum.
@@ -5,3 +7,16 @@
 export function getPreviewText(content: string, max = 150): string {
 	return content.length > max ? content.slice(0, max) + '...' : content;
 }
+
+/**
+ * Generates a single-line title from a potentially multi-line prompt.
+ * Uses the first non-empty line if `useFirstLine` is true.
+ */
+export function generateConversationTitle(content: string, useFirstLine: boolean = false): string {
+	if (useFirstLine) {
+		const firstLine = content.split(NEWLINE_SEPARATOR).find((line) => line.trim().length > 0);
+		return firstLine ? firstLine.trim() : content.trim();
+	}
+
+	return content.trim();
+}
diff --git a/tools/server/webui/src/routes/+layout.svelte b/tools/server/webui/src/routes/+layout.svelte
index 9093fc2197c763bdca7a83d128b20f3b340d9cbe..ccc207f8519bca71e8e01b88b32f5247d225334f 100644
--- a/tools/server/webui/src/routes/+layout.svelte
+++ b/tools/server/webui/src/routes/+layout.svelte
@@ -4,7 +4,11 @@
 	import { browser } from '$app/environment';
 	import { page } from '$app/state';
 	import { untrack } from 'svelte';
-	import { ChatSidebar, DialogConversationTitleUpdate } from '$lib/components/app';
+	import {
+		ChatSidebar,
+		DialogConversationTitleUpdate,
+		DialogChatSettings
+	} from '$lib/components/app';
 	import { isLoading } from '$lib/stores/chat.svelte';
 	import { conversationsStore, activeMessages } from '$lib/stores/conversations.svelte';
 	import * as Sidebar from '$lib/components/ui/sidebar/index.js';
@@ -17,8 +21,10 @@
 	import { modelsStore } from '$lib/stores/models.svelte';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import { TOOLTIP_DELAY_DURATION } from '$lib/constants';
+	import type { SettingsSectionTitle } from '$lib/constants';
 	import { KeyboardKey } from '$lib/enums';
 	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
+	import { setChatSettingsDialogContext } from '$lib/contexts';
 
 	let { children } = $props();
 
@@ -42,6 +48,16 @@
 	let titleUpdateNewTitle = $state('');
 	let titleUpdateResolve: ((value: boolean) => void) | null = null;
 
+	let chatSettingsDialogOpen = $state(false);
+	let chatSettingsDialogInitialSection = $state<SettingsSectionTitle | undefined>(undefined);
+
+	setChatSettingsDialogContext({
+		open: (initialSection?: SettingsSectionTitle) => {
+			chatSettingsDialogInitialSection = initialSection;
+			chatSettingsDialogOpen = true;
+		}
+	});
+
 	// Global keyboard shortcuts
 	function handleKeydown(event: KeyboardEvent) {
 		const isCtrlOrCmd = event.ctrlKey || event.metaKey;
@@ -213,6 +229,12 @@
 
 	<Toaster richColors />
 
+	<DialogChatSettings
+		open={chatSettingsDialogOpen}
+		onOpenChange={(open) => (chatSettingsDialogOpen = open)}
+		initialSection={chatSettingsDialogInitialSection}
+	/>
+
 	<DialogConversationTitleUpdate
 		bind:open={titleUpdateDialogOpen}
 		currentTitle={titleUpdateCurrentTitle}
diff --git a/tools/server/webui/src/routes/+page.svelte b/tools/server/webui/src/routes/+page.svelte
index 949ac273d51164969146202ca3a7d077f3ce986e..e67a85abdbbb94956dff32c472e58fd06845d348 100644
--- a/tools/server/webui/src/routes/+page.svelte
+++ b/tools/server/webui/src/routes/+page.svelte
@@ -77,6 +77,11 @@
 			!modelsStore.isModelLoaded(modelsStore.selectedModelName)
 		) {
 			modelsStore.clearSelection();
+
+			const first = modelOptions().find((m) => modelsStore.loadedModelIds.includes(m.model));
+			if (first) {
+				await modelsStore.selectModelById(first.id);
+			}
 		}
 
 		// Handle URL params only if we have ?q= or ?model= or ?new_chat=true
diff --git a/tools/server/webui/svelte.config.js b/tools/server/webui/svelte.config.js
index 947499363b874fb501f1f5a5fa86ae0baf961daf..93152492c43feaf1d0c3bff3df5bc141795ab55b 100644
--- a/tools/server/webui/svelte.config.js
+++ b/tools/server/webui/svelte.config.js
@@ -21,10 +21,13 @@ const config = {
 			strict: true
 		}),
 		output: {
-			bundleStrategy: 'inline'
+			bundleStrategy: 'single'
 		},
 		alias: {
 			$styles: 'src/styles'
+		},
+		version: {
+			name: 'llama-server-webui'
 		}
 	},
 
diff --git a/tools/server/webui/tests/e2e/demo.test.ts b/tools/server/webui/tests/e2e/demo.test.ts
index 9985ce113eb8c2b11ccaa927be88770ec3e3f868..b7b4bac335170371a11bac6309497dd3674391b5 100644
--- a/tools/server/webui/tests/e2e/demo.test.ts
+++ b/tools/server/webui/tests/e2e/demo.test.ts
@@ -2,5 +2,5 @@ import { expect, test } from '@playwright/test';
 
 test('home page has expected h1', async ({ page }) => {
 	await page.goto('/');
-	await expect(page.locator('h1')).toBeVisible();
+	await expect(page.locator('h1').first()).toBeVisible();
 });
diff --git a/tools/server/webui/tests/stories/ChatSidebar.stories.svelte b/tools/server/webui/tests/stories/ChatSidebar.stories.svelte
index 42cea8783cd022d135bea01f268341ac6f800f22..7ff9538a3e82d79148f0ef0b2ae82bc1dbda810b 100644
--- a/tools/server/webui/tests/stories/ChatSidebar.stories.svelte
+++ b/tools/server/webui/tests/stories/ChatSidebar.stories.svelte
@@ -73,7 +73,7 @@
 			conversationsStore.conversations = mockConversations;
 		}, 0));
 		
-		const searchTrigger = screen.getByText('Search conversations');
+		const searchTrigger = screen.getByText('Search');
 		userEvent.click(searchTrigger);
 	}}
 >
diff --git a/tools/server/webui/tests/unit/agentic-sections.test.ts b/tools/server/webui/tests/unit/agentic-sections.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..c01f46bc3a640c60470e7c549b221e281f60f3d8
--- /dev/null
+++ b/tools/server/webui/tests/unit/agentic-sections.test.ts
@@ -0,0 +1,241 @@
+import { describe, it, expect } from 'vitest';
+import { deriveAgenticSections, hasAgenticContent } from '$lib/utils/agentic';
+import { AgenticSectionType, MessageRole } from '$lib/enums';
+import type { DatabaseMessage } from '$lib/types/database';
+import type { ApiChatCompletionToolCall } from '$lib/types/api';
+
+function makeAssistant(overrides: Partial<DatabaseMessage> = {}): DatabaseMessage {
+	return {
+		id: overrides.id ?? 'ast-1',
+		convId: 'conv-1',
+		type: 'text',
+		timestamp: Date.now(),
+		role: MessageRole.ASSISTANT,
+		content: overrides.content ?? '',
+		parent: null,
+		children: [],
+		...overrides
+	} as DatabaseMessage;
+}
+
+function makeToolMsg(overrides: Partial<DatabaseMessage> = {}): DatabaseMessage {
+	return {
+		id: overrides.id ?? 'tool-1',
+		convId: 'conv-1',
+		type: 'text',
+		timestamp: Date.now(),
+		role: MessageRole.TOOL,
+		content: overrides.content ?? 'tool result',
+		parent: null,
+		children: [],
+		toolCallId: overrides.toolCallId ?? 'call_1',
+		...overrides
+	} as DatabaseMessage;
+}
+
+describe('deriveAgenticSections', () => {
+	it('returns empty array for assistant with no content', () => {
+		const msg = makeAssistant({ content: '' });
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toEqual([]);
+	});
+
+	it('returns text section for simple assistant message', () => {
+		const msg = makeAssistant({ content: 'Hello world' });
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[0].content).toBe('Hello world');
+	});
+
+	it('returns reasoning + text for message with reasoning', () => {
+		const msg = makeAssistant({
+			content: 'Answer is 4.',
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[0].content).toBe('Let me think...');
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+	});
+
+	it('single turn: assistant with tool calls and results', () => {
+		const msg = makeAssistant({
+			content: 'Let me check.',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{"q":"test"}' } }
+			])
+		});
+		const toolResult = makeToolMsg({
+			toolCallId: 'call_1',
+			content: 'Found 3 results'
+		});
+		const sections = deriveAgenticSections(msg, [toolResult]);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[1].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[1].toolName).toBe('search');
+		expect(sections[1].toolResult).toBe('Found 3 results');
+	});
+
+	it('single turn: pending tool call without result', () => {
+		const msg = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'bash', arguments: '{}' } }
+			])
+		});
+		const sections = deriveAgenticSections(msg, []);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL_PENDING);
+		expect(sections[0].toolName).toBe('bash');
+	});
+
+	it('multi-turn: two assistant turns grouped as one session', () => {
+		const assistant1 = makeAssistant({
+			id: 'ast-1',
+			content: 'Turn 1 text',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{"q":"foo"}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ id: 'tool-1', toolCallId: 'call_1', content: 'result 1' });
+		const assistant2 = makeAssistant({
+			id: 'ast-2',
+			content: 'Final answer based on results.'
+		});
+
+		// toolMessages contains both tool result and continuation assistant
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2]);
+		expect(sections).toHaveLength(3);
+		// Turn 1
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[0].content).toBe('Turn 1 text');
+		expect(sections[1].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[1].toolName).toBe('search');
+		expect(sections[1].toolResult).toBe('result 1');
+		// Turn 2 (final)
+		expect(sections[2].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[2].content).toBe('Final answer based on results.');
+	});
+
+	it('multi-turn: three turns with tool calls', () => {
+		const assistant1 = makeAssistant({
+			id: 'ast-1',
+			content: '',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'list_files', arguments: '{}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ id: 'tool-1', toolCallId: 'call_1', content: 'file1 file2' });
+		const assistant2 = makeAssistant({
+			id: 'ast-2',
+			content: 'Reading file1...',
+			toolCalls: JSON.stringify([
+				{
+					id: 'call_2',
+					type: 'function',
+					function: { name: 'read_file', arguments: '{"path":"file1"}' }
+				}
+			])
+		});
+		const tool2 = makeToolMsg({ id: 'tool-2', toolCallId: 'call_2', content: 'contents of file1' });
+		const assistant3 = makeAssistant({
+			id: 'ast-3',
+			content: 'Here is the analysis.',
+			reasoningContent: 'The file contains...'
+		});
+
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2, tool2, assistant3]);
+		// Turn 1: tool_call (no text since content is empty)
+		// Turn 2: text + tool_call
+		// Turn 3: reasoning + text
+		expect(sections).toHaveLength(5);
+		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[0].toolName).toBe('list_files');
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[1].content).toBe('Reading file1...');
+		expect(sections[2].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[2].toolName).toBe('read_file');
+		expect(sections[3].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[4].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[4].content).toBe('Here is the analysis.');
+	});
+
+	it('returns REASONING_PENDING when streaming with only reasoning content', () => {
+		const msg = makeAssistant({
+			reasoningContent: 'Let me think about this...'
+		});
+		const sections = deriveAgenticSections(msg, [], [], true);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING_PENDING);
+		expect(sections[0].content).toBe('Let me think about this...');
+	});
+
+	it('returns REASONING (not pending) when streaming but text content has appeared', () => {
+		const msg = makeAssistant({
+			content: 'The answer is',
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg, [], [], true);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+	});
+
+	it('returns REASONING (not pending) when not streaming', () => {
+		const msg = makeAssistant({
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg, [], [], false);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+	});
+
+	it('multi-turn: streaming tool calls on last turn', () => {
+		const assistant1 = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ toolCallId: 'call_1', content: 'result' });
+		const assistant2 = makeAssistant({ id: 'ast-2', content: '' });
+
+		const streamingToolCalls: ApiChatCompletionToolCall[] = [
+			{ id: 'call_2', type: 'function', function: { name: 'write_file', arguments: '{"pa' } }
+		];
+
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2], streamingToolCalls);
+		// Turn 1: tool_call
+		// Turn 2 (streaming): streaming tool call
+		expect(sections.some((s) => s.type === AgenticSectionType.TOOL_CALL)).toBe(true);
+		expect(sections.some((s) => s.type === AgenticSectionType.TOOL_CALL_STREAMING)).toBe(true);
+	});
+});
+
+describe('hasAgenticContent', () => {
+	it('returns false for plain assistant', () => {
+		const msg = makeAssistant({ content: 'Just text' });
+		expect(hasAgenticContent(msg)).toBe(false);
+	});
+
+	it('returns true when message has toolCalls', () => {
+		const msg = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'test', arguments: '{}' } }
+			])
+		});
+		expect(hasAgenticContent(msg)).toBe(true);
+	});
+
+	it('returns true when toolMessages are provided', () => {
+		const msg = makeAssistant();
+		const tool = makeToolMsg();
+		expect(hasAgenticContent(msg, [tool])).toBe(true);
+	});
+
+	it('returns false for empty toolCalls JSON', () => {
+		const msg = makeAssistant({ toolCalls: '[]' });
+		expect(hasAgenticContent(msg)).toBe(false);
+	});
+});
diff --git a/tools/server/webui/tests/unit/agentic-strip.test.ts b/tools/server/webui/tests/unit/agentic-strip.test.ts
index 436908bdb8be1c186744999205f3289a253d605b..86867f8a9ddcd7e6234a643243ac3702e8669cfd 100644
--- a/tools/server/webui/tests/unit/agentic-strip.test.ts
+++ b/tools/server/webui/tests/unit/agentic-strip.test.ts
@@ -1,17 +1,22 @@
 import { describe, it, expect } from 'vitest';
-import { AGENTIC_REGEX } from '$lib/constants/agentic';
+import { LEGACY_AGENTIC_REGEX } from '$lib/constants/agentic';
 
-// Mirror the logic in ChatService.stripReasoningContent so we can test it in isolation.
-// The real function is private static, so we replicate the strip pipeline here.
-function stripContextMarkers(content: string): string {
+/**
+ * Tests for legacy marker stripping (used in migration).
+ * The new system does not embed markers in content - these tests verify
+ * the legacy regex patterns still work for the migration code.
+ */
+
+// Mirror the legacy stripping logic used during migration
+function stripLegacyContextMarkers(content: string): string {
 	return content
-		.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-		.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN, '')
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
 }
 
-// A realistic complete tool call block as stored in message.content after a turn.
+// A realistic complete tool call block as stored in old message.content
 const COMPLETE_BLOCK =
 	'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
 	'<<<TOOL_NAME:bash_tool>>>\n' +
@@ -30,11 +35,10 @@ const OPEN_BLOCK =
 	'<<<TOOL_ARGS_END>>>\n' +
 	'partial output...';
 
-describe('agentic marker stripping for context', () => {
+describe('legacy agentic marker stripping (for migration)', () => {
 	it('strips a complete tool call block, leaving surrounding text', () => {
 		const input = 'Before.' + COMPLETE_BLOCK + 'After.';
-		const result = stripContextMarkers(input);
-		// markers gone; residual newlines between fragments are fine
+		const result = stripLegacyContextMarkers(input);
 		expect(result).not.toContain('<<<');
 		expect(result).toContain('Before.');
 		expect(result).toContain('After.');
@@ -42,7 +46,7 @@ describe('agentic marker stripping for context', () => {
 
 	it('strips multiple complete tool call blocks', () => {
 		const input = 'A' + COMPLETE_BLOCK + 'B' + COMPLETE_BLOCK + 'C';
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
 		expect(result).not.toContain('<<<');
 		expect(result).toContain('A');
 		expect(result).toContain('B');
@@ -51,19 +55,19 @@ describe('agentic marker stripping for context', () => {
 
 	it('strips an open/partial tool call block (no END marker)', () => {
 		const input = 'Lead text.' + OPEN_BLOCK;
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
 		expect(result).toBe('Lead text.');
 		expect(result).not.toContain('<<<');
 	});
 
 	it('does not alter content with no markers', () => {
 		const input = 'Just a normal assistant response.';
-		expect(stripContextMarkers(input)).toBe(input);
+		expect(stripLegacyContextMarkers(input)).toBe(input);
 	});
 
 	it('strips reasoning block independently', () => {
 		const input = '<<<reasoning_content_start>>>think hard<<<reasoning_content_end>>>Answer.';
-		expect(stripContextMarkers(input)).toBe('Answer.');
+		expect(stripLegacyContextMarkers(input)).toBe('Answer.');
 	});
 
 	it('strips both reasoning and agentic blocks together', () => {
@@ -71,11 +75,21 @@ describe('agentic marker stripping for context', () => {
 			'<<<reasoning_content_start>>>plan<<<reasoning_content_end>>>' +
 			'Some text.' +
 			COMPLETE_BLOCK;
-		expect(stripContextMarkers(input)).not.toContain('<<<');
-		expect(stripContextMarkers(input)).toContain('Some text.');
+		expect(stripLegacyContextMarkers(input)).not.toContain('<<<');
+		expect(stripLegacyContextMarkers(input)).toContain('Some text.');
 	});
 
 	it('empty string survives', () => {
-		expect(stripContextMarkers('')).toBe('');
+		expect(stripLegacyContextMarkers('')).toBe('');
+	});
+
+	it('detects legacy markers', () => {
+		expect(LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('normal text')).toBe(false);
+		expect(
+			LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('text<<<AGENTIC_TOOL_CALL_START>>>more')
+		).toBe(true);
+		expect(LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('<<<reasoning_content_start>>>think')).toBe(
+			true
+		);
 	});
 });
diff --git a/tools/server/webui/tests/unit/mcp-service.test.ts b/tools/server/webui/tests/unit/mcp-service.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..afd3bdd5cfe37362740c86a6a9a1a27806d4dcfb
--- /dev/null
+++ b/tools/server/webui/tests/unit/mcp-service.test.ts
@@ -0,0 +1,252 @@
+import { afterEach, describe, expect, it, vi } from 'vitest';
+import { Client } from '@modelcontextprotocol/sdk/client';
+import { MCPService } from '$lib/services/mcp.service';
+import { MCPConnectionPhase, MCPTransportType } from '$lib/enums';
+import type { MCPConnectionLog, MCPServerConfig } from '$lib/types';
+
+type DiagnosticFetchFactory = (
+	serverName: string,
+	config: MCPServerConfig,
+	baseInit: RequestInit,
+	targetUrl: URL,
+	useProxy: boolean,
+	onLog?: (log: MCPConnectionLog) => void
+) => { fetch: typeof fetch; disable: () => void };
+
+const createDiagnosticFetch = (
+	config: MCPServerConfig,
+	onLog?: (log: MCPConnectionLog) => void,
+	baseInit: RequestInit = {}
+) =>
+	(
+		MCPService as unknown as { createDiagnosticFetch: DiagnosticFetchFactory }
+	).createDiagnosticFetch('test-server', config, baseInit, new URL(config.url), false, onLog);
+
+describe('MCPService', () => {
+	afterEach(() => {
+		vi.restoreAllMocks();
+		vi.unstubAllGlobals();
+	});
+
+	it('stops transport phase logging after handshake diagnostics are disabled', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: { 'content-type': 'application/json' }
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await controller.fetch(config.url, { method: 'POST', body: '{}' });
+		expect(logs).toHaveLength(2);
+		expect(logs.every((log) => log.message.includes('https://example.com/mcp'))).toBe(true);
+
+		controller.disable();
+		await controller.fetch(config.url, { method: 'POST', body: '{}' });
+
+		expect(logs).toHaveLength(2);
+	});
+
+	it('redacts all configured custom headers in diagnostic request logs', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: { 'content-type': 'application/json' }
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP,
+			headers: {
+				'x-auth-token': 'secret-token',
+				'x-vendor-api-key': 'secret-key'
+			}
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log), {
+			headers: config.headers
+		});
+
+		await controller.fetch(config.url, {
+			method: 'POST',
+			headers: { 'content-type': 'application/json' },
+			body: '{}'
+		});
+
+		expect(logs).toHaveLength(2);
+		expect(logs[0].details).toMatchObject({
+			request: {
+				headers: {
+					'x-auth-token': '[redacted]',
+					'x-vendor-api-key': '[redacted]',
+					'content-type': 'application/json'
+				}
+			}
+		});
+	});
+
+	it('partially redacts mcp-session-id in diagnostic request and response logs', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: {
+				'content-type': 'application/json',
+				'mcp-session-id': 'session-response-67890'
+			}
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await controller.fetch(config.url, {
+			method: 'POST',
+			headers: {
+				'content-type': 'application/json',
+				'mcp-session-id': 'session-request-12345'
+			},
+			body: '{}'
+		});
+
+		expect(logs).toHaveLength(2);
+		expect(logs[0].details).toMatchObject({
+			request: {
+				headers: {
+					'content-type': 'application/json',
+					'mcp-session-id': '....12345'
+				}
+			}
+		});
+		expect(logs[1].details).toMatchObject({
+			response: {
+				headers: {
+					'content-type': 'application/json',
+					'mcp-session-id': '....67890'
+				}
+			}
+		});
+	});
+
+	it('extracts JSON-RPC methods without logging the raw request body', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: { 'content-type': 'application/json' }
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await controller.fetch(config.url, {
+			method: 'POST',
+			body: JSON.stringify([
+				{ jsonrpc: '2.0', id: 1, method: 'initialize' },
+				{ jsonrpc: '2.0', method: 'notifications/initialized' }
+			])
+		});
+
+		expect(logs[0].details).toMatchObject({
+			request: {
+				method: 'POST',
+				body: {
+					kind: 'string',
+					size: expect.any(Number)
+				},
+				jsonRpcMethods: ['initialize', 'notifications/initialized']
+			}
+		});
+	});
+
+	it('adds a CORS hint to Failed to fetch diagnostic log messages', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const fetchError = new TypeError('Failed to fetch');
+
+		vi.stubGlobal('fetch', vi.fn().mockRejectedValue(fetchError));
+
+		const config: MCPServerConfig = {
+			url: 'http://localhost:8000/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await expect(controller.fetch(config.url, { method: 'POST', body: '{}' })).rejects.toThrow(
+			'Failed to fetch'
+		);
+
+		expect(logs).toHaveLength(2);
+		expect(logs[1].message).toBe(
+			'HTTP POST http://localhost:8000/mcp failed: Failed to fetch (check CORS?)'
+		);
+	});
+
+	it('detaches phase error logging after the initialize handshake completes', async () => {
+		const phaseLogs: Array<{ phase: MCPConnectionPhase; log: MCPConnectionLog }> = [];
+		const stopPhaseLogging = vi.fn();
+		let emitClientError: ((error: Error) => void) | undefined;
+
+		vi.spyOn(MCPService, 'createTransport').mockReturnValue({
+			transport: {} as never,
+			type: MCPTransportType.WEBSOCKET,
+			stopPhaseLogging
+		});
+		vi.spyOn(MCPService, 'listTools').mockResolvedValue([]);
+		vi.spyOn(Client.prototype, 'getServerVersion').mockReturnValue(undefined);
+		vi.spyOn(Client.prototype, 'getServerCapabilities').mockReturnValue(undefined);
+		vi.spyOn(Client.prototype, 'getInstructions').mockReturnValue(undefined);
+		vi.spyOn(Client.prototype, 'connect').mockImplementation(async function (this: Client) {
+			emitClientError = (error: Error) => this.onerror?.(error);
+			this.onerror?.(new Error('handshake protocol error'));
+		});
+
+		await MCPService.connect(
+			'test-server',
+			{
+				url: 'ws://example.com/mcp',
+				transport: MCPTransportType.WEBSOCKET
+			},
+			undefined,
+			undefined,
+			(phase, log) => phaseLogs.push({ phase, log })
+		);
+
+		expect(stopPhaseLogging).toHaveBeenCalledTimes(1);
+		expect(
+			phaseLogs.filter(
+				({ phase, log }) =>
+					phase === MCPConnectionPhase.ERROR &&
+					log.message === 'Protocol error: handshake protocol error'
+			)
+		).toHaveLength(1);
+
+		emitClientError?.(new Error('runtime protocol error'));
+
+		expect(
+			phaseLogs.filter(
+				({ phase, log }) =>
+					phase === MCPConnectionPhase.ERROR &&
+					log.message === 'Protocol error: runtime protocol error'
+			)
+		).toHaveLength(0);
+	});
+});
diff --git a/tools/server/webui/tests/unit/model-id-parser.test.ts b/tools/server/webui/tests/unit/model-id-parser.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..3c2937d35608771e64769c7540d67b623b2261f5
--- /dev/null
+++ b/tools/server/webui/tests/unit/model-id-parser.test.ts
@@ -0,0 +1,270 @@
+import { describe, expect, it } from 'vitest';
+import { ModelsService } from '$lib/services/models.service';
+
+const { parseModelId } = ModelsService;
+
+describe('parseModelId', () => {
+	it('handles unknown patterns correctly', () => {
+		expect(parseModelId('model-name-1')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'model-name-1',
+			orgName: null,
+			params: null,
+			quantization: null,
+			raw: 'model-name-1',
+			tags: []
+		});
+
+		expect(parseModelId('org/model-name-2')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'model-name-2',
+			orgName: 'org',
+			params: null,
+			quantization: null,
+			raw: 'org/model-name-2',
+			tags: []
+		});
+	});
+
+	it('extracts model parameters correctly', () => {
+		expect(parseModelId('model-100B-BF16')).toMatchObject({ params: '100B' });
+		expect(parseModelId('model-100B:Q4_K_M')).toMatchObject({ params: '100B' });
+	});
+
+	it('extracts model parameters correctly in lowercase', () => {
+		expect(parseModelId('model-100b-bf16')).toMatchObject({ params: '100B' });
+		expect(parseModelId('model-100b:q4_k_m')).toMatchObject({ params: '100B' });
+	});
+
+	it('extracts activated parameters correctly', () => {
+		expect(parseModelId('model-100B-A10B-BF16')).toMatchObject({ activatedParams: 'A10B' });
+		expect(parseModelId('model-100B-A10B:Q4_K_M')).toMatchObject({ activatedParams: 'A10B' });
+	});
+
+	it('extracts activated parameters correctly in lowercase', () => {
+		expect(parseModelId('model-100b-a10b-bf16')).toMatchObject({ activatedParams: 'A10B' });
+		expect(parseModelId('model-100b-a10b:q4_k_m')).toMatchObject({ activatedParams: 'A10B' });
+	});
+
+	it('extracts quantization correctly', () => {
+		// Dash-separated quantization
+		expect(parseModelId('model-100B-UD-IQ1_S')).toMatchObject({ quantization: 'UD-IQ1_S' });
+		expect(parseModelId('model-100B-IQ4_XS')).toMatchObject({ quantization: 'IQ4_XS' });
+		expect(parseModelId('model-100B-Q4_K_M')).toMatchObject({ quantization: 'Q4_K_M' });
+		expect(parseModelId('model-100B-Q8_0')).toMatchObject({ quantization: 'Q8_0' });
+		expect(parseModelId('model-100B-UD-Q8_K_XL')).toMatchObject({ quantization: 'UD-Q8_K_XL' });
+		expect(parseModelId('model-100B-F16')).toMatchObject({ quantization: 'F16' });
+		expect(parseModelId('model-100B-BF16')).toMatchObject({ quantization: 'BF16' });
+		expect(parseModelId('model-100B-MXFP4')).toMatchObject({ quantization: 'MXFP4' });
+
+		// Colon-separated quantization
+		expect(parseModelId('model-100B:UD-IQ1_S')).toMatchObject({ quantization: 'UD-IQ1_S' });
+		expect(parseModelId('model-100B:IQ4_XS')).toMatchObject({ quantization: 'IQ4_XS' });
+		expect(parseModelId('model-100B:Q4_K_M')).toMatchObject({ quantization: 'Q4_K_M' });
+		expect(parseModelId('model-100B:Q8_0')).toMatchObject({ quantization: 'Q8_0' });
+		expect(parseModelId('model-100B:UD-Q8_K_XL')).toMatchObject({ quantization: 'UD-Q8_K_XL' });
+		expect(parseModelId('model-100B:F16')).toMatchObject({ quantization: 'F16' });
+		expect(parseModelId('model-100B:BF16')).toMatchObject({ quantization: 'BF16' });
+		expect(parseModelId('model-100B:MXFP4')).toMatchObject({ quantization: 'MXFP4' });
+
+		// Dot-separated quantization
+		expect(parseModelId('nomic-embed-text-v2-moe.Q4_K_M')).toMatchObject({
+			quantization: 'Q4_K_M'
+		});
+	});
+
+	it('extracts additional tags correctly', () => {
+		expect(parseModelId('model-100B-foobar-Q4_K_M')).toMatchObject({ tags: ['foobar'] });
+		expect(parseModelId('model-100B-A10B-foobar-1M-BF16')).toMatchObject({
+			tags: ['foobar', '1M']
+		});
+		expect(parseModelId('model-100B-1M-foobar:UD-Q8_K_XL')).toMatchObject({
+			tags: ['1M', 'foobar']
+		});
+	});
+
+	it('filters out container format segments from tags', () => {
+		expect(parseModelId('model-100B-GGUF-Instruct-BF16')).toMatchObject({
+			tags: ['Instruct']
+		});
+		expect(parseModelId('model-100B-GGML-Instruct:Q4_K_M')).toMatchObject({
+			tags: ['Instruct']
+		});
+	});
+
+	it('handles real-world examples correctly', () => {
+		expect(parseModelId('meta-llama/Llama-3.1-8B')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'Llama-3.1',
+			orgName: 'meta-llama',
+			params: '8B',
+			quantization: null,
+			raw: 'meta-llama/Llama-3.1-8B',
+			tags: []
+		});
+
+		expect(parseModelId('openai/gpt-oss-120b-MXFP4')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'gpt-oss',
+			orgName: 'openai',
+			params: '120B',
+			quantization: 'MXFP4',
+			raw: 'openai/gpt-oss-120b-MXFP4',
+			tags: []
+		});
+
+		expect(parseModelId('openai/gpt-oss-20b:Q4_K_M')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'gpt-oss',
+			orgName: 'openai',
+			params: '20B',
+			quantization: 'Q4_K_M',
+			raw: 'openai/gpt-oss-20b:Q4_K_M',
+			tags: []
+		});
+
+		expect(parseModelId('Qwen/Qwen3-Coder-30B-A3B-Instruct-1M-BF16')).toStrictEqual({
+			activatedParams: 'A3B',
+			modelName: 'Qwen3-Coder',
+			orgName: 'Qwen',
+			params: '30B',
+			quantization: 'BF16',
+			raw: 'Qwen/Qwen3-Coder-30B-A3B-Instruct-1M-BF16',
+			tags: ['Instruct', '1M']
+		});
+	});
+
+	it('handles real-world examples with quantization in segments', () => {
+		expect(parseModelId('meta-llama/Llama-4-Scout-17B-16E-Instruct-Q4_K_M')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'Llama-4-Scout',
+			orgName: 'meta-llama',
+			params: '17B',
+			quantization: 'Q4_K_M',
+			raw: 'meta-llama/Llama-4-Scout-17B-16E-Instruct-Q4_K_M',
+			tags: ['16E', 'Instruct']
+		});
+
+		expect(parseModelId('MiniMaxAI/MiniMax-M2-IQ4_XS')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'MiniMax-M2',
+			orgName: 'MiniMaxAI',
+			params: null,
+			quantization: 'IQ4_XS',
+			raw: 'MiniMaxAI/MiniMax-M2-IQ4_XS',
+			tags: []
+		});
+
+		expect(parseModelId('MiniMaxAI/MiniMax-M2-UD-Q3_K_XL')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'MiniMax-M2',
+			orgName: 'MiniMaxAI',
+			params: null,
+			quantization: 'UD-Q3_K_XL',
+			raw: 'MiniMaxAI/MiniMax-M2-UD-Q3_K_XL',
+			tags: []
+		});
+
+		expect(parseModelId('mistralai/Devstral-2-123B-Instruct-2512-Q4_K_M')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'Devstral-2',
+			orgName: 'mistralai',
+			params: '123B',
+			quantization: 'Q4_K_M',
+			raw: 'mistralai/Devstral-2-123B-Instruct-2512-Q4_K_M',
+			tags: ['Instruct', '2512']
+		});
+
+		expect(parseModelId('mistralai/Devstral-Small-2-24B-Instruct-2512-Q8_0')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'Devstral-Small-2',
+			orgName: 'mistralai',
+			params: '24B',
+			quantization: 'Q8_0',
+			raw: 'mistralai/Devstral-Small-2-24B-Instruct-2512-Q8_0',
+			tags: ['Instruct', '2512']
+		});
+
+		expect(parseModelId('noctrex/GLM-4.7-Flash-MXFP4_MOE')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'GLM-4.7-Flash',
+			orgName: 'noctrex',
+			params: null,
+			quantization: 'MXFP4_MOE',
+			raw: 'noctrex/GLM-4.7-Flash-MXFP4_MOE',
+			tags: []
+		});
+
+		expect(parseModelId('Qwen/Qwen3-Coder-Next-Q4_K_M')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'Qwen3-Coder-Next',
+			orgName: 'Qwen',
+			params: null,
+			quantization: 'Q4_K_M',
+			raw: 'Qwen/Qwen3-Coder-Next-Q4_K_M',
+			tags: []
+		});
+
+		expect(parseModelId('openai/gpt-oss-120b-Q4_K_M')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'gpt-oss',
+			orgName: 'openai',
+			params: '120B',
+			quantization: 'Q4_K_M',
+			raw: 'openai/gpt-oss-120b-Q4_K_M',
+			tags: []
+		});
+
+		expect(parseModelId('openai/gpt-oss-20b-F16')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'gpt-oss',
+			orgName: 'openai',
+			params: '20B',
+			quantization: 'F16',
+			raw: 'openai/gpt-oss-20b-F16',
+			tags: []
+		});
+
+		expect(parseModelId('nomic-embed-text-v2-moe.Q4_K_M')).toStrictEqual({
+			activatedParams: null,
+			modelName: 'nomic-embed-text-v2-moe',
+			orgName: null,
+			params: null,
+			quantization: 'Q4_K_M',
+			raw: 'nomic-embed-text-v2-moe.Q4_K_M',
+			tags: []
+		});
+	});
+
+	it('handles ambiguous model names', () => {
+		// Qwen3.5 Instruct vs Thinking — tags should distinguish them
+		expect(parseModelId('Qwen/Qwen3.5-30B-A3B-Instruct')).toMatchObject({
+			modelName: 'Qwen3.5',
+			params: '30B',
+			activatedParams: 'A3B',
+			tags: ['Instruct']
+		});
+
+		expect(parseModelId('Qwen/Qwen3.5-30B-A3B-Thinking')).toMatchObject({
+			modelName: 'Qwen3.5',
+			params: '30B',
+			activatedParams: 'A3B',
+			tags: ['Thinking']
+		});
+
+		// Dot-separated quantization with variant suffixes
+		expect(parseModelId('gemma-3-27b-it-heretic-v2.Q8_0')).toMatchObject({
+			modelName: 'gemma-3',
+			params: '27B',
+			quantization: 'Q8_0',
+			tags: ['it', 'heretic', 'v2']
+		});
+
+		expect(parseModelId('gemma-3-27b-it.Q8_0')).toMatchObject({
+			modelName: 'gemma-3',
+			params: '27B',
+			quantization: 'Q8_0',
+			tags: ['it']
+		});
+	});
+});
diff --git a/tools/server/webui/tests/unit/reasoning-context.test.ts b/tools/server/webui/tests/unit/reasoning-context.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..b448974a38da76b2831052f02e3b34d5b476d037
--- /dev/null
+++ b/tools/server/webui/tests/unit/reasoning-context.test.ts
@@ -0,0 +1,89 @@
+import { describe, it, expect } from 'vitest';
+import { MessageRole } from '$lib/enums';
+
+/**
+ * Tests for the new reasoning content handling.
+ * In the new architecture, reasoning content is stored in a dedicated
+ * `reasoningContent` field on DatabaseMessage, not embedded in content with tags.
+ * The API sends it as `reasoning_content` on ApiChatMessageData.
+ */
+
+describe('reasoning content in new structured format', () => {
+	it('reasoning is stored as separate field, not in content', () => {
+		// Simulate what the new chat store does
+		const message = {
+			content: 'The answer is 4.',
+			reasoningContent: 'Let me think: 2+2=4, basic arithmetic.'
+		};
+
+		// Content should be clean
+		expect(message.content).not.toContain('<<<');
+		expect(message.content).toBe('The answer is 4.');
+
+		// Reasoning in dedicated field
+		expect(message.reasoningContent).toBe('Let me think: 2+2=4, basic arithmetic.');
+	});
+
+	it('convertDbMessageToApiChatMessageData includes reasoning_content', () => {
+		// Simulate the conversion logic
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'The answer is 4.',
+			reasoningContent: 'Let me think: 2+2=4, basic arithmetic.'
+		};
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
+		}
+
+		expect(apiMessage.content).toBe('The answer is 4.');
+		expect(apiMessage.reasoning_content).toBe('Let me think: 2+2=4, basic arithmetic.');
+		// No internal tags leak into either field
+		expect(apiMessage.content).not.toContain('<<<');
+		expect(apiMessage.reasoning_content).not.toContain('<<<');
+	});
+
+	it('API message excludes reasoning when excludeReasoningFromContext is true', () => {
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'The answer is 4.',
+			reasoningContent: 'internal thinking'
+		};
+
+		const excludeReasoningFromContext = true;
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (!excludeReasoningFromContext && dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
+		}
+
+		expect(apiMessage.content).toBe('The answer is 4.');
+		expect(apiMessage.reasoning_content).toBeUndefined();
+	});
+
+	it('handles messages with no reasoning', () => {
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'No reasoning here.',
+			reasoningContent: undefined
+		};
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
+		}
+
+		expect(apiMessage.content).toBe('No reasoning here.');
+		expect(apiMessage.reasoning_content).toBeUndefined();
+	});
+});
diff --git a/tools/server/webui/tests/unit/redact.test.ts b/tools/server/webui/tests/unit/redact.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..750296c53a772273c75f199e47bf27aca78a106a
--- /dev/null
+++ b/tools/server/webui/tests/unit/redact.test.ts
@@ -0,0 +1,20 @@
+import { describe, expect, it } from 'vitest';
+import { redactValue } from '$lib/utils/redact';
+
+describe('redactValue', () => {
+	it('returns [redacted] by default', () => {
+		expect(redactValue('secret-token')).toBe('[redacted]');
+	});
+
+	it('shows last N characters when showLastChars is provided', () => {
+		expect(redactValue('session-abc12', 5)).toBe('....abc12');
+	});
+
+	it('handles value shorter than showLastChars', () => {
+		expect(redactValue('ab', 5)).toBe('....ab');
+	});
+
+	it('returns [redacted] when showLastChars is 0', () => {
+		expect(redactValue('secret', 0)).toBe('[redacted]');
+	});
+});
diff --git a/tools/server/webui/tests/unit/request-helpers.test.ts b/tools/server/webui/tests/unit/request-helpers.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..c4325287608afb2b3723f59738e42ea6f6133c30
--- /dev/null
+++ b/tools/server/webui/tests/unit/request-helpers.test.ts
@@ -0,0 +1,124 @@
+import { describe, expect, it } from 'vitest';
+import {
+	getRequestUrl,
+	getRequestMethod,
+	getRequestBody,
+	summarizeRequestBody,
+	formatDiagnosticErrorMessage,
+	extractJsonRpcMethods
+} from '$lib/utils/request-helpers';
+
+describe('getRequestUrl', () => {
+	it('returns a plain string input as-is', () => {
+		expect(getRequestUrl('https://example.com/mcp')).toBe('https://example.com/mcp');
+	});
+
+	it('returns href from a URL object', () => {
+		expect(getRequestUrl(new URL('https://example.com/mcp'))).toBe('https://example.com/mcp');
+	});
+
+	it('returns url from a Request object', () => {
+		const req = new Request('https://example.com/mcp');
+		expect(getRequestUrl(req)).toBe('https://example.com/mcp');
+	});
+});
+
+describe('getRequestMethod', () => {
+	it('prefers method from init', () => {
+		expect(getRequestMethod('https://example.com', { method: 'POST' })).toBe('POST');
+	});
+
+	it('falls back to Request.method', () => {
+		const req = new Request('https://example.com', { method: 'PUT' });
+		expect(getRequestMethod(req)).toBe('PUT');
+	});
+
+	it('falls back to baseInit.method', () => {
+		expect(getRequestMethod('https://example.com', undefined, { method: 'DELETE' })).toBe('DELETE');
+	});
+
+	it('defaults to GET', () => {
+		expect(getRequestMethod('https://example.com')).toBe('GET');
+	});
+});
+
+describe('getRequestBody', () => {
+	it('returns body from init', () => {
+		expect(getRequestBody('https://example.com', { body: 'payload' })).toBe('payload');
+	});
+
+	it('returns undefined when no body is present', () => {
+		expect(getRequestBody('https://example.com')).toBeUndefined();
+	});
+});
+
+describe('summarizeRequestBody', () => {
+	it('returns empty for null', () => {
+		expect(summarizeRequestBody(null)).toEqual({ kind: 'empty' });
+	});
+
+	it('returns empty for undefined', () => {
+		expect(summarizeRequestBody(undefined)).toEqual({ kind: 'empty' });
+	});
+
+	it('returns string kind with size', () => {
+		expect(summarizeRequestBody('hello')).toEqual({ kind: 'string', size: 5 });
+	});
+
+	it('returns blob kind with size', () => {
+		const blob = new Blob(['abc']);
+		expect(summarizeRequestBody(blob)).toEqual({ kind: 'blob', size: 3 });
+	});
+
+	it('returns formdata kind', () => {
+		expect(summarizeRequestBody(new FormData())).toEqual({ kind: 'formdata' });
+	});
+
+	it('returns arraybuffer kind with size', () => {
+		expect(summarizeRequestBody(new ArrayBuffer(8))).toEqual({ kind: 'arraybuffer', size: 8 });
+	});
+});
+
+describe('formatDiagnosticErrorMessage', () => {
+	it('appends CORS hint for Failed to fetch', () => {
+		expect(formatDiagnosticErrorMessage(new TypeError('Failed to fetch'))).toBe(
+			'Failed to fetch (check CORS?)'
+		);
+	});
+
+	it('passes through other error messages unchanged', () => {
+		expect(formatDiagnosticErrorMessage(new Error('timeout'))).toBe('timeout');
+	});
+
+	it('handles non-Error values', () => {
+		expect(formatDiagnosticErrorMessage('some string')).toBe('some string');
+	});
+});
+
+describe('extractJsonRpcMethods', () => {
+	it('extracts methods from a JSON-RPC array', () => {
+		const body = JSON.stringify([
+			{ jsonrpc: '2.0', id: 1, method: 'initialize' },
+			{ jsonrpc: '2.0', method: 'notifications/initialized' }
+		]);
+		expect(extractJsonRpcMethods(body)).toEqual(['initialize', 'notifications/initialized']);
+	});
+
+	it('extracts method from a single JSON-RPC message', () => {
+		const body = JSON.stringify({ jsonrpc: '2.0', id: 1, method: 'tools/list' });
+		expect(extractJsonRpcMethods(body)).toEqual(['tools/list']);
+	});
+
+	it('returns undefined for non-string body', () => {
+		expect(extractJsonRpcMethods(null)).toBeUndefined();
+		expect(extractJsonRpcMethods(undefined)).toBeUndefined();
+	});
+
+	it('returns undefined for invalid JSON', () => {
+		expect(extractJsonRpcMethods('not json')).toBeUndefined();
+	});
+
+	it('returns undefined when no methods found', () => {
+		expect(extractJsonRpcMethods(JSON.stringify({ foo: 'bar' }))).toBeUndefined();
+	});
+});
diff --git a/tools/server/webui/tests/unit/sanitize-headers.test.ts b/tools/server/webui/tests/unit/sanitize-headers.test.ts
new file mode 100644
index 0000000000000000000000000000000000000000..f5a682d8636d5da899dd6564a6536028bff5da0a
--- /dev/null
+++ b/tools/server/webui/tests/unit/sanitize-headers.test.ts
@@ -0,0 +1,55 @@
+import { describe, expect, it } from 'vitest';
+import { sanitizeHeaders } from '$lib/utils/api-headers';
+
+describe('sanitizeHeaders', () => {
+	it('returns empty object for undefined input', () => {
+		expect(sanitizeHeaders()).toEqual({});
+	});
+
+	it('passes through non-sensitive headers', () => {
+		const headers = new Headers({ 'content-type': 'application/json', accept: 'text/html' });
+		expect(sanitizeHeaders(headers)).toEqual({
+			'content-type': 'application/json',
+			accept: 'text/html'
+		});
+	});
+
+	it('redacts known sensitive headers', () => {
+		const headers = new Headers({
+			authorization: 'Bearer secret',
+			'x-api-key': 'key-123',
+			'content-type': 'application/json'
+		});
+		const result = sanitizeHeaders(headers);
+		expect(result.authorization).toBe('[redacted]');
+		expect(result['x-api-key']).toBe('[redacted]');
+		expect(result['content-type']).toBe('application/json');
+	});
+
+	it('partially redacts headers specified in partialRedactHeaders', () => {
+		const headers = new Headers({ 'mcp-session-id': 'session-12345' });
+		const partial = new Map([['mcp-session-id', 5]]);
+		expect(sanitizeHeaders(headers, undefined, partial)['mcp-session-id']).toBe('....12345');
+	});
+
+	it('fully redacts mcp-session-id when no partialRedactHeaders is given', () => {
+		const headers = new Headers({ 'mcp-session-id': 'session-12345' });
+		expect(sanitizeHeaders(headers)['mcp-session-id']).toBe('[redacted]');
+	});
+
+	it('redacts extra headers provided by the caller', () => {
+		const headers = new Headers({
+			'x-vendor-key': 'vendor-secret',
+			'content-type': 'application/json'
+		});
+		const result = sanitizeHeaders(headers, ['x-vendor-key']);
+		expect(result['x-vendor-key']).toBe('[redacted]');
+		expect(result['content-type']).toBe('application/json');
+	});
+
+	it('handles case-insensitive extra header names', () => {
+		const headers = new Headers({ 'X-Custom-Token': 'token-value' });
+		const result = sanitizeHeaders(headers, ['X-CUSTOM-TOKEN']);
+		expect(result['x-custom-token']).toBe('[redacted]');
+	});
+});
diff --git a/tools/server/webui/vite.config.ts b/tools/server/webui/vite.config.ts
index e4408f09e41c9c882ac512640e9650b76f3dcb09..628780201db262a2aea45614eda2b1dfa0468236 100644
--- a/tools/server/webui/vite.config.ts
+++ b/tools/server/webui/vite.config.ts
@@ -1,103 +1,33 @@
 import tailwindcss from '@tailwindcss/vite';
 import { sveltekit } from '@sveltejs/kit/vite';
-import * as fflate from 'fflate';
-import { readFileSync, writeFileSync, existsSync } from 'fs';
 import { dirname, resolve } from 'path';
 import { fileURLToPath } from 'url';
 
 import { defineConfig, searchForWorkspaceRoot } from 'vite';
 import devtoolsJson from 'vite-plugin-devtools-json';
 import { storybookTest } from '@storybook/addon-vitest/vitest-plugin';
+import { llamaCppBuildPlugin } from './scripts/vite-plugin-llama-cpp-build';
 
 const __dirname = dirname(fileURLToPath(import.meta.url));
 
-const GUIDE_FOR_FRONTEND = `
-<!--
-  This is a single file build of the frontend.
-  It is automatically generated by the build process.
-  Do not edit this file directly.
-  To make changes, refer to the "Web UI" section in the README.
--->
-`.trim();
-
-const MAX_BUNDLE_SIZE = 2 * 1024 * 1024;
-
-/**
- * the maximum size of an embedded asset in bytes,
- * e.g. maximum size of embedded font (see node_modules/katex/dist/fonts/*.woff2)
- */
-const MAX_ASSET_SIZE = 32000;
-
-/** public/index.html.gz minified flag */
-const ENABLE_JS_MINIFICATION = true;
-
-function llamaCppBuildPlugin() {
-	return {
-		name: 'llamacpp:build',
-		apply: 'build' as const,
-		closeBundle() {
-			// Ensure the SvelteKit adapter has finished writing to ../public
-			setTimeout(() => {
-				try {
-					const indexPath = resolve('../public/index.html');
-					const gzipPath = resolve('../public/index.html.gz');
-
-					if (!existsSync(indexPath)) {
-						return;
-					}
-
-					let content = readFileSync(indexPath, 'utf-8');
-
-					const faviconPath = resolve('static/favicon.svg');
-					if (existsSync(faviconPath)) {
-						const faviconContent = readFileSync(faviconPath, 'utf-8');
-						const faviconBase64 = Buffer.from(faviconContent).toString('base64');
-						const faviconDataUrl = `data:image/svg+xml;base64,${faviconBase64}`;
-
-						content = content.replace(/href="[^"]*favicon\.svg"/g, `href="${faviconDataUrl}"`);
-
-						console.log('✓ Inlined favicon.svg as base64 data URL');
-					}
-
-					content = content.replace(/\r/g, '');
-					content = GUIDE_FOR_FRONTEND + '\n' + content;
-
-					const compressed = fflate.gzipSync(Buffer.from(content, 'utf-8'), { level: 9 });
-
-					compressed[0x4] = 0;
-					compressed[0x5] = 0;
-					compressed[0x6] = 0;
-					compressed[0x7] = 0;
-					compressed[0x9] = 0;
-
-					if (compressed.byteLength > MAX_BUNDLE_SIZE) {
-						throw new Error(
-							`Bundle size is too large (${Math.ceil(compressed.byteLength / 1024)} KB).\n` +
-								`Please reduce the size of the frontend or increase MAX_BUNDLE_SIZE in vite.config.ts.\n`
-						);
-					}
-
-					writeFileSync(gzipPath, compressed);
-					console.log('✓ Created index.html.gz');
-				} catch (error) {
-					console.error('Failed to create gzip file:', error);
-				}
-			}, 100);
-		}
-	};
-}
-
 export default defineConfig({
 	resolve: {
 		alias: {
 			'katex-fonts': resolve('node_modules/katex/dist/fonts')
 		}
 	},
+
 	build: {
-		assetsInlineLimit: MAX_ASSET_SIZE,
+		assetsInlineLimit: 32000,
 		chunkSizeWarningLimit: 3072,
-		minify: ENABLE_JS_MINIFICATION
+		minify: true
+	},
+
+	esbuild: {
+		lineLimit: 500,
+		minifyIdentifiers: false
 	},
+
 	css: {
 		preprocessorOptions: {
 			scss: {
@@ -109,7 +39,9 @@ export default defineConfig({
 			}
 		}
 	},
+
 	plugins: [tailwindcss(), sveltekit(), devtoolsJson(), llamaCppBuildPlugin()],
+
 	test: {
 		projects: [
 			{
@@ -126,6 +58,7 @@ export default defineConfig({
 					setupFiles: ['./vitest-setup-client.ts']
 				}
 			},
+
 			{
 				extends: './vite.config.ts',
 				test: {
@@ -134,6 +67,7 @@ export default defineConfig({
 					include: ['tests/unit/**/*.{test,spec}.{js,ts}']
 				}
 			},
+
 			{
 				extends: './vite.config.ts',
 				test: {
diff --git a/tools/tokenize/CMakeLists.txt b/tools/tokenize/CMakeLists.txt
index feed9a10622e8793233ac32841e930072e4c8599..cadacb55eac69e3a1e8a40f94d9933e66e0856a9 100644
--- a/tools/tokenize/CMakeLists.txt
+++ b/tools/tokenize/CMakeLists.txt
@@ -1,7 +1,3 @@
-set(TARGET llama-tokenize)
-add_executable(${TARGET} tokenize.cpp)
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b3679cb32b1bc0a75e855801a10460114f71d96ace24d8c9d748146dcdf8acd
+size 284
diff --git a/tools/tts/CMakeLists.txt b/tools/tts/CMakeLists.txt
index 76320d4c2d6ac164d65be8535cc6164585e473b3..e8256923876b685d10276dbc2a462ec79a9c81ea 100644
--- a/tools/tts/CMakeLists.txt
+++ b/tools/tts/CMakeLists.txt
@@ -1,8 +1,3 @@
-set(TARGET llama-tts)
-add_executable(${TARGET} tts.cpp)
-target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-if(LLAMA_TOOLS_INSTALL)
-    install(TARGETS ${TARGET} RUNTIME)
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1aeb523d3510a4bb96120e65d2d038030d5d05f580fb344dbda45315b4d2887
+size 276
diff --git a/tools/tts/tts.cpp b/tools/tts/tts.cpp
index dc2fa494b880c424e98501f57414cffb1f7d9025..ce68213d145e8c21ab383a5da3c4f4285270970f 100644
--- a/tools/tts/tts.cpp
+++ b/tools/tts/tts.cpp
@@ -551,6 +551,8 @@ int main(int argc, char ** argv) {
     params.sampling.top_k = 4;
     params.sampling.samplers = { COMMON_SAMPLER_TYPE_TOP_K, };
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_TTS, print_usage)) {
         return 1;
     }
@@ -558,8 +560,6 @@ int main(int argc, char ** argv) {
     const int n_parallel = params.n_parallel;
     const int n_predict  = params.n_predict;
 
-    common_init();
-
     // init LLM
 
     llama_backend_init();
diff --git a/ty.toml b/ty.toml
new file mode 100644
index 0000000000000000000000000000000000000000..bcd23db9b8b39cb5cb683e13ef1042e91522fa8d
--- /dev/null
+++ b/ty.toml
@@ -0,0 +1,30 @@
+[environment]
+extra-paths = ["./gguf-py", "./examples/model-conversion/scripts", "./tools/server/tests"]
+python-version = "3.10"
+
+[rules]
+deprecated = "warn"
+
+[src]
+exclude = [
+    "./tools/mtmd/legacy-models/**",
+]
+
+[[overrides]]
+include = [
+    "./tools/server/tests/**",
+]
+
+[overrides.rules]
+unresolved-reference = "ignore"
+unresolved-import = "ignore"
+unresolved-attribute = "ignore"
+
+[[overrides]]
+include = [
+    "./examples/pydantic_models_to_grammar.py",
+]
+
+[overrides.rules]
+unsupported-operator = "ignore"
+not-subscriptable = "ignore"
diff --git a/vendor/cpp-httplib/CMakeLists.txt b/vendor/cpp-httplib/CMakeLists.txt
index 4960f9c861eca79c5d7d5184e34318bf3842b3f6..d689ded6ab2b75135e97cb47954122d5226657b2 100644
--- a/vendor/cpp-httplib/CMakeLists.txt
+++ b/vendor/cpp-httplib/CMakeLists.txt
@@ -1,181 +1,3 @@
-set(TARGET cpp-httplib)
-license_add_file("cpp-httplib" "LICENSE")
-
-find_package(Threads REQUIRED)
-
-llama_add_compile_flags()
-
-add_library(${TARGET} STATIC httplib.cpp httplib.h)
-
-# disable warnings in 3rd party code
-if (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
-    target_compile_options(${TARGET} PRIVATE /w)
-else()
-    target_compile_options(${TARGET} PRIVATE -w)
-endif()
-
-target_link_libraries(${TARGET} PRIVATE Threads::Threads)
-
-if (WIN32 AND NOT MSVC)
-    target_link_libraries(${TARGET} PUBLIC ws2_32)
-endif()
-
-target_compile_features(${TARGET} PRIVATE cxx_std_17)
-
-target_compile_definitions(${TARGET} PRIVATE
-    # increase max payload length to allow use of larger context size
-    CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH=1048576
-    # increase backlog size to avoid connection resets for >> 1 slots
-    CPPHTTPLIB_LISTEN_BACKLOG=512
-    # increase max URI length to handle longer prompts in query string
-    CPPHTTPLIB_REQUEST_URI_MAX_LENGTH=32768
-    # disable Nagle's algorithm
-    CPPHTTPLIB_TCP_NODELAY=1
-)
-
-set(OPENSSL_NO_ASM ON CACHE BOOL "Disable OpenSSL ASM code when building BoringSSL or LibreSSL")
-
-if (LLAMA_BUILD_BORINGSSL)
-    set(FIPS OFF CACHE BOOL "Enable FIPS (BoringSSL)")
-
-    set(BORINGSSL_GIT "https://boringssl.googlesource.com/boringssl" CACHE STRING "BoringSSL git repository")
-    set(BORINGSSL_VERSION "0.20260211.0" CACHE STRING "BoringSSL version")
-
-    message(STATUS "Fetching BoringSSL version ${BORINGSSL_VERSION}")
-
-    set(BORINGSSL_ARGS
-        GIT_REPOSITORY ${BORINGSSL_GIT}
-        GIT_TAG        ${BORINGSSL_VERSION}
-    )
-    if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.28)
-        list(APPEND BORINGSSL_ARGS EXCLUDE_FROM_ALL)
-    endif()
-
-    include(FetchContent)
-    FetchContent_Declare(boringssl ${BORINGSSL_ARGS})
-
-    set(SAVED_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
-    set(SAVED_BUILD_TESTING ${BUILD_TESTING})
-
-    set(BUILD_SHARED_LIBS OFF)
-    set(BUILD_TESTING OFF)
-
-    if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.28)
-        FetchContent_MakeAvailable(boringssl)
-    else()
-        FetchContent_GetProperties(boringssl)
-        if(NOT boringssl_POPULATED)
-            FetchContent_Populate(boringssl)
-            add_subdirectory(${boringssl_SOURCE_DIR} ${boringssl_BINARY_DIR} EXCLUDE_FROM_ALL)
-        endif()
-    endif()
-
-    set(BUILD_SHARED_LIBS ${SAVED_BUILD_SHARED_LIBS})
-    set(BUILD_TESTING ${SAVED_BUILD_TESTING})
-
-    license_add_file("BoringSSL" "${boringssl_SOURCE_DIR}/LICENSE")
-
-    set(CPPHTTPLIB_OPENSSL_SUPPORT TRUE)
-    target_link_libraries(${TARGET} PUBLIC ssl crypto)
-
-elseif (LLAMA_BUILD_LIBRESSL)
-    set(LIBRESSL_VERSION "4.2.1" CACHE STRING "LibreSSL version")
-
-    message(STATUS "Fetching LibreSSL version ${LIBRESSL_VERSION}")
-
-    set(LIBRESSL_ARGS
-        URL "https://cdn.openbsd.org/pub/OpenBSD/LibreSSL/libressl-${LIBRESSL_VERSION}.tar.gz"
-    )
-    if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.24)
-        list(APPEND LIBRESSL_ARGS DOWNLOAD_EXTRACT_TIMESTAMP TRUE)
-    endif()
-
-    if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.28)
-        list(APPEND LIBRESSL_ARGS EXCLUDE_FROM_ALL)
-    endif()
-
-    include(FetchContent)
-    FetchContent_Declare(libressl ${LIBRESSL_ARGS})
-
-    set(SAVED_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
-    set(SAVED_BUILD_TESTING ${BUILD_TESTING})
-
-    set(BUILD_SHARED_LIBS OFF)
-    set(BUILD_TESTING OFF)
-
-    if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.28)
-        FetchContent_MakeAvailable(libressl)
-    else()
-        FetchContent_GetProperties(libressl)
-        if(NOT libressl_POPULATED)
-            FetchContent_Populate(libressl)
-            add_subdirectory(${libressl_SOURCE_DIR} ${libressl_BINARY_DIR} EXCLUDE_FROM_ALL)
-        endif()
-    endif()
-
-    set(BUILD_SHARED_LIBS ${SAVED_BUILD_SHARED_LIBS})
-    set(BUILD_TESTING ${SAVED_BUILD_TESTING})
-
-    license_add_file("LibreSSL" "${libressl_SOURCE_DIR}/COPYING")
-
-    set(CPPHTTPLIB_OPENSSL_SUPPORT TRUE)
-    target_link_libraries(${TARGET} PUBLIC ssl crypto)
-
-elseif (LLAMA_OPENSSL)
-    find_package(OpenSSL)
-    if (OpenSSL_FOUND)
-        include(CheckCSourceCompiles)
-        set(SAVED_CMAKE_REQUIRED_INCLUDES ${CMAKE_REQUIRED_INCLUDES})
-        set(CMAKE_REQUIRED_INCLUDES ${OPENSSL_INCLUDE_DIR})
-        check_c_source_compiles("
-        #include <openssl/opensslv.h>
-        #if defined(OPENSSL_IS_BORINGSSL) || defined(LIBRESSL_VERSION_NUMBER)
-        #    if OPENSSL_VERSION_NUMBER < 0x1010107f
-        #        error bad version
-        #    endif
-        #else
-        #    if OPENSSL_VERSION_NUMBER < 0x30000000L
-        #        error bad version
-        #    endif
-        #endif
-        int main() { return 0; }
-        " OPENSSL_VERSION_SUPPORTED)
-        set(CMAKE_REQUIRED_INCLUDES ${SAVED_CMAKE_REQUIRED_INCLUDES})
-        if (OPENSSL_VERSION_SUPPORTED)
-            message(STATUS "OpenSSL found: ${OPENSSL_VERSION}")
-            set(CPPHTTPLIB_OPENSSL_SUPPORT TRUE)
-            target_link_libraries(${TARGET} PUBLIC OpenSSL::SSL OpenSSL::Crypto)
-        endif()
-    else()
-        message(WARNING "OpenSSL not found, HTTPS support disabled")
-    endif()
-endif()
-
-# disable warnings in 3rd party code
-if(LLAMA_BUILD_BORINGSSL OR LLAMA_BUILD_LIBRESSL)
-    if (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
-        target_compile_options(ssl PRIVATE /w)
-        target_compile_options(crypto PRIVATE /w)
-        if(LLAMA_BUILD_BORINGSSL)
-            target_compile_options(fipsmodule PRIVATE /w)
-        endif()
-    else()
-        target_compile_options(ssl PRIVATE -w)
-        target_compile_options(crypto PRIVATE -w)
-        if(LLAMA_BUILD_BORINGSSL)
-            target_compile_options(fipsmodule PRIVATE -w)
-        endif()
-    endif()
-endif()
-
-if (CPPHTTPLIB_OPENSSL_SUPPORT)
-    target_compile_definitions(${TARGET} PUBLIC CPPHTTPLIB_OPENSSL_SUPPORT) # used in server.cpp
-    if (APPLE AND CMAKE_SYSTEM_NAME STREQUAL "Darwin")
-        find_library(CORE_FOUNDATION_FRAMEWORK CoreFoundation REQUIRED)
-        find_library(SECURITY_FRAMEWORK Security REQUIRED)
-        target_link_libraries(${TARGET} PUBLIC ${CORE_FOUNDATION_FRAMEWORK} ${SECURITY_FRAMEWORK})
-    endif()
-    if (WIN32 AND NOT MSVC)
-        target_link_libraries(${TARGET} PUBLIC crypt32)
-    endif()
-endif()
+version https://git-lfs.github.com/spec/v1
+oid sha256:a231e7c798bfbb92a1734bcd964c38e5070f4f754a4345c995f9a8069ae600f6
+size 6398
diff --git a/vendor/cpp-httplib/httplib.cpp b/vendor/cpp-httplib/httplib.cpp
index fa0718218e50f2808bf234e178c325eb99a31762..1cd71c2ecc4e6b79df11404de99aee733f938496 100644
--- a/vendor/cpp-httplib/httplib.cpp
+++ b/vendor/cpp-httplib/httplib.cpp
@@ -1,7 +1,5 @@
 #include "httplib.h"
 namespace httplib {
-// httplib::any — type-erased value container (C++11 compatible)
-// On C++17+ builds, thin wrappers around std::any are provided.
 
 /*
  * Implementation that will be part of the .cc file if split into .h + .cc.
@@ -142,6 +140,12 @@ SSEClient &SSEClient::set_max_reconnect_attempts(int n) {
   return *this;
 }
 
+SSEClient &SSEClient::set_headers(const Headers &headers) {
+  std::lock_guard<std::mutex> lock(headers_mutex_);
+  headers_ = headers;
+  return *this;
+}
+
 bool SSEClient::is_connected() const { return connected_.load(); }
 
 const std::string &SSEClient::last_event_id() const {
@@ -220,7 +224,11 @@ void SSEClient::run_event_loop() {
 
   while (running_.load()) {
     // Build headers, including Last-Event-ID if we have one
-    auto request_headers = headers_;
+    Headers request_headers;
+    {
+      std::lock_guard<std::mutex> lock(headers_mutex_);
+      request_headers = headers_;
+    }
     if (!last_event_id_.empty()) {
       request_headers.emplace("Last-Event-ID", last_event_id_);
     }
@@ -239,19 +247,19 @@ void SSEClient::run_event_loop() {
       continue;
     }
 
-    if (result.status() != 200) {
+    if (result.status() != StatusCode::OK_200) {
       connected_.store(false);
-      // For certain errors, don't reconnect
-      if (result.status() == 204 || // No Content - server wants us to stop
-          result.status() == 404 || // Not Found
-          result.status() == 401 || // Unauthorized
-          result.status() == 403) { // Forbidden
-        if (on_error_) { on_error_(Error::Connection); }
+      if (on_error_) { on_error_(Error::Connection); }
+
+      // For certain errors, don't reconnect.
+      // Note: 401 is intentionally absent so that handlers can refresh
+      // credentials via set_headers() and let the client reconnect.
+      if (result.status() == StatusCode::NoContent_204 ||
+          result.status() == StatusCode::NotFound_404 ||
+          result.status() == StatusCode::Forbidden_403) {
         break;
       }
 
-      if (on_error_) { on_error_(Error::Connection); }
-
       if (!should_reconnect(reconnect_count)) { break; }
       wait_for_reconnect();
       reconnect_count++;
@@ -457,10 +465,6 @@ bool set_socket_opt_impl(socket_t sock, int level, int optname,
                     optlen) == 0;
 }
 
-bool set_socket_opt(socket_t sock, int level, int optname, int optval) {
-  return set_socket_opt_impl(sock, level, optname, &optval, sizeof(optval));
-}
-
 bool set_socket_opt_time(socket_t sock, int level, int optname,
                                 time_t sec, time_t usec) {
 #ifdef _WIN32
@@ -1871,7 +1875,7 @@ int getaddrinfo_with_timeout(const char *node, const char *service,
   }
 
   return ret;
-#elif TARGET_OS_MAC
+#elif TARGET_OS_MAC && defined(__clang__)
   if (!node) { return EAI_NONAME; }
   // macOS implementation using CFHost API for asynchronous DNS resolution
   CFStringRef hostname_ref = CFStringCreateWithCString(
@@ -2208,7 +2212,7 @@ socket_t create_socket(const std::string &host, const std::string &ip, int port,
 #ifdef _WIN32
       // Setting SO_REUSEADDR seems not to work well with AF_UNIX on windows, so
       // remove the option.
-      detail::set_socket_opt(sock, SOL_SOCKET, SO_REUSEADDR, 0);
+      set_socket_opt(sock, SOL_SOCKET, SO_REUSEADDR, 0);
 #endif
 
       bool dummy;
@@ -4363,6 +4367,7 @@ make_multipart_content_provider(const UploadFormDataItems &items,
   struct MultipartState {
     std::vector<std::string> owned;
     std::vector<MultipartSegment> segs;
+    std::vector<char> buf = std::vector<char>(CPPHTTPLIB_SEND_BUFSIZ);
   };
   auto state = std::make_shared<MultipartState>();
   state->owned = std::move(owned);
@@ -4371,19 +4376,49 @@ make_multipart_content_provider(const UploadFormDataItems &items,
   state->segs = std::move(segs);
 
   return [state](size_t offset, size_t length, DataSink &sink) -> bool {
+    // Buffer multiple small segments into fewer, larger writes to avoid
+    // excessive TCP packets when there are many form data items (#2410)
+    auto &buf = state->buf;
+    auto buf_size = buf.size();
+    size_t buf_len = 0;
+    size_t remaining = length;
+
+    // Find the first segment containing 'offset'
     size_t pos = 0;
-    for (const auto &seg : state->segs) {
-      // Loop invariant: pos <= offset (proven by advancing pos only when
-      // offset - pos >= seg.size, i.e., the segment doesn't contain offset)
-      if (seg.size > 0 && offset - pos < seg.size) {
-        size_t seg_offset = offset - pos;
-        size_t available = seg.size - seg_offset;
-        size_t to_write = (std::min)(available, length);
-        return sink.write(seg.data + seg_offset, to_write);
-      }
+    size_t seg_idx = 0;
+    for (; seg_idx < state->segs.size(); seg_idx++) {
+      const auto &seg = state->segs[seg_idx];
+      if (seg.size > 0 && offset - pos < seg.size) { break; }
       pos += seg.size;
     }
-    return true; // past end (shouldn't be reached when content_length is exact)
+
+    size_t seg_offset = (seg_idx < state->segs.size()) ? offset - pos : 0;
+
+    for (; seg_idx < state->segs.size() && remaining > 0; seg_idx++) {
+      const auto &seg = state->segs[seg_idx];
+      size_t available = seg.size - seg_offset;
+      size_t to_copy = (std::min)(available, remaining);
+      const char *src = seg.data + seg_offset;
+      seg_offset = 0; // only the first segment has a non-zero offset
+
+      while (to_copy > 0) {
+        size_t space = buf_size - buf_len;
+        size_t chunk = (std::min)(to_copy, space);
+        std::memcpy(buf.data() + buf_len, src, chunk);
+        buf_len += chunk;
+        src += chunk;
+        to_copy -= chunk;
+        remaining -= chunk;
+
+        if (buf_len == buf_size) {
+          if (!sink.write(buf.data(), buf_len)) { return false; }
+          buf_len = 0;
+        }
+      }
+    }
+
+    if (buf_len > 0) { return sink.write(buf.data(), buf_len); }
+    return true;
   };
 }
 
@@ -5254,13 +5289,18 @@ bool setup_client_tls_session(const std::string &host, tls::ctx_t &ctx,
  */
 
 void default_socket_options(socket_t sock) {
-  detail::set_socket_opt(sock, SOL_SOCKET,
+  set_socket_opt(sock, SOL_SOCKET,
 #ifdef SO_REUSEPORT
-                         SO_REUSEPORT,
+                 SO_REUSEPORT,
 #else
-                         SO_REUSEADDR,
+                 SO_REUSEADDR,
 #endif
-                         1);
+                 1);
+}
+
+bool set_socket_opt(socket_t sock, int level, int optname, int optval) {
+  return detail::set_socket_opt_impl(sock, level, optname, &optval,
+                                     sizeof(optval));
 }
 
 std::string get_bearer_token_auth(const Request &req) {
@@ -5794,6 +5834,17 @@ std::string Request::get_param_value(const std::string &key,
   return std::string();
 }
 
+std::vector<std::string>
+Request::get_param_values(const std::string &key) const {
+  auto rng = params.equal_range(key);
+  std::vector<std::string> values;
+  values.reserve(static_cast<size_t>(std::distance(rng.first, rng.second)));
+  for (auto it = rng.first; it != rng.second; ++it) {
+    values.push_back(it->second);
+  }
+  return values;
+}
+
 size_t Request::get_param_value_count(const std::string &key) const {
   auto r = params.equal_range(key);
   return static_cast<size_t>(std::distance(r.first, r.second));
@@ -6971,6 +7022,15 @@ Server &Server::set_keep_alive_timeout(time_t sec) {
   return *this;
 }
 
+template <class Rep, class Period>
+Server &Server::set_keep_alive_timeout(
+    const std::chrono::duration<Rep, Period> &duration) {
+  detail::duration_to_sec_and_usec(duration, [&](time_t sec, time_t /*usec*/) {
+    set_keep_alive_timeout(sec);
+  });
+  return *this;
+}
+
 Server &Server::set_read_timeout(time_t sec, time_t usec) {
   read_timeout_sec_ = sec;
   read_timeout_usec_ = usec;
@@ -7408,6 +7468,8 @@ bool Server::read_content_core(
     return false;
   }
 
+  req.body_consumed_ = true;
+
   if (req.is_multipart_form_data()) {
     if (!multipart_form_data_parser.is_valid()) {
       res.status = StatusCode::BadRequest_400;
@@ -7678,9 +7740,7 @@ bool Server::listen_internal() {
       detail::set_socket_opt_time(sock, SOL_SOCKET, SO_SNDTIMEO,
                                   write_timeout_sec_, write_timeout_usec_);
 
-      if (tcp_nodelay_) {
-        detail::set_socket_opt(sock, IPPROTO_TCP, TCP_NODELAY, 1);
-      }
+      if (tcp_nodelay_) { set_socket_opt(sock, IPPROTO_TCP, TCP_NODELAY, 1); }
 
       if (!task_queue->enqueue(
               [this, sock]() { process_and_close_socket(sock); })) {
@@ -8026,8 +8086,19 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
     return write_response(strm, close_connection, req, res);
   }
 
+  // RFC 9112 §6.3: Reject requests with both a non-zero Content-Length and
+  // any Transfer-Encoding to prevent request smuggling. Content-Length: 0 is
+  // tolerated for compatibility with existing clients.
+  if (req.get_header_value_u64("Content-Length") > 0 &&
+      req.has_header("Transfer-Encoding")) {
+    connection_closed = true;
+    res.status = StatusCode::BadRequest_400;
+    return write_response(strm, close_connection, req, res);
+  }
+
   // Check if the request URI doesn't exceed the limit
   if (req.target.size() > CPPHTTPLIB_REQUEST_URI_MAX_LENGTH) {
+    connection_closed = true;
     res.status = StatusCode::UriTooLong_414;
     output_error_log(Error::ExceedUriMaxLength, &req);
     return write_response(strm, close_connection, req, res);
@@ -8056,6 +8127,7 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
   if (req.has_header("Accept")) {
     const auto &accept_header = req.get_header_value("Accept");
     if (!detail::parse_accept_header(accept_header, req.accept_content_types)) {
+      connection_closed = true;
       res.status = StatusCode::BadRequest_400;
       output_error_log(Error::HTTPParsing, &req);
       return write_response(strm, close_connection, req, res);
@@ -8065,6 +8137,7 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
   if (req.has_header("Range")) {
     const auto &range_header_value = req.get_header_value("Range");
     if (!detail::parse_range_header(range_header_value, req.ranges)) {
+      connection_closed = true;
       res.status = StatusCode::RangeNotSatisfiable_416;
       output_error_log(Error::InvalidRangeHeader, &req);
       return write_response(strm, close_connection, req, res);
@@ -8192,6 +8265,7 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
     }
   }
 #endif
+  auto ret = false;
   if (routed) {
     if (res.status == -1) {
       res.status = req.ranges.empty() ? StatusCode::OK_200
@@ -8199,6 +8273,7 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
     }
 
     // Serve file content by using a content provider
+    auto file_open_error = false;
     if (!res.file_content_path_.empty()) {
       const auto &path = res.file_content_path_;
       auto mm = std::make_shared<detail::mmap>(path.c_str());
@@ -8208,37 +8283,53 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
         res.content_provider_ = nullptr;
         res.status = StatusCode::NotFound_404;
         output_error_log(Error::OpenFile, &req);
-        return write_response(strm, close_connection, req, res);
-      }
+        file_open_error = true;
+      } else {
+        auto content_type = res.file_content_content_type_;
+        if (content_type.empty()) {
+          content_type = detail::find_content_type(
+              path, file_extension_and_mimetype_map_, default_file_mimetype_);
+        }
 
-      auto content_type = res.file_content_content_type_;
-      if (content_type.empty()) {
-        content_type = detail::find_content_type(
-            path, file_extension_and_mimetype_map_, default_file_mimetype_);
+        res.set_content_provider(
+            mm->size(), content_type,
+            [mm](size_t offset, size_t length, DataSink &sink) -> bool {
+              sink.write(mm->data() + offset, length);
+              return true;
+            });
       }
-
-      res.set_content_provider(
-          mm->size(), content_type,
-          [mm](size_t offset, size_t length, DataSink &sink) -> bool {
-            sink.write(mm->data() + offset, length);
-            return true;
-          });
     }
 
-    if (detail::range_error(req, res)) {
+    if (file_open_error) {
+      ret = write_response(strm, close_connection, req, res);
+    } else if (detail::range_error(req, res)) {
       res.body.clear();
       res.content_length_ = 0;
       res.content_provider_ = nullptr;
       res.status = StatusCode::RangeNotSatisfiable_416;
-      return write_response(strm, close_connection, req, res);
+      ret = write_response(strm, close_connection, req, res);
+    } else {
+      ret = write_response_with_content(strm, close_connection, req, res);
     }
-
-    return write_response_with_content(strm, close_connection, req, res);
   } else {
     if (res.status == -1) { res.status = StatusCode::NotFound_404; }
-
-    return write_response(strm, close_connection, req, res);
+    ret = write_response(strm, close_connection, req, res);
+  }
+
+  // Drain any unconsumed request body to prevent request smuggling on
+  // keep-alive connections.
+  if (!req.body_consumed_ && detail::expect_content(req)) {
+    int drain_status = 200; // required by read_content signature
+    if (!detail::read_content(
+            strm, req, payload_max_length_, drain_status, nullptr,
+            [](const char *, size_t, size_t, size_t) { return true; }, false)) {
+      // Body exceeds payload limit or read error — close the connection
+      // to prevent leftover bytes from being misinterpreted.
+      connection_closed = true;
+    }
   }
+
+  return ret;
 }
 
 bool Server::is_valid() const { return true; }
@@ -9046,20 +9137,21 @@ bool ClientImpl::redirect(Request &req, Response &res, Error &error) {
   auto location = res.get_header_value("location");
   if (location.empty()) { return false; }
 
-  thread_local const std::regex re(
-      R"((?:(https?):)?(?://(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?)?([^?#]*)(\?[^#]*)?(?:#.*)?)");
+  detail::UrlComponents uc;
+  if (!detail::parse_url(location, uc)) { return false; }
 
-  std::smatch m;
-  if (!std::regex_match(location, m, re)) { return false; }
+  // Only follow http/https redirects
+  if (!uc.scheme.empty() && uc.scheme != "http" && uc.scheme != "https") {
+    return false;
+  }
 
   auto scheme = is_ssl() ? "https" : "http";
 
-  auto next_scheme = m[1].str();
-  auto next_host = m[2].str();
-  if (next_host.empty()) { next_host = m[3].str(); }
-  auto port_str = m[4].str();
-  auto next_path = m[5].str();
-  auto next_query = m[6].str();
+  auto next_scheme = std::move(uc.scheme);
+  auto next_host = std::move(uc.host);
+  auto port_str = std::move(uc.port);
+  auto next_path = std::move(uc.path);
+  auto next_query = std::move(uc.query);
 
   auto next_port = port_;
   if (!port_str.empty()) {
@@ -9072,7 +9164,7 @@ bool ClientImpl::redirect(Request &req, Response &res, Error &error) {
   if (next_host.empty()) { next_host = host_; }
   if (next_path.empty()) { next_path = "/"; }
 
-  auto path = decode_query_component(next_path, true) + next_query;
+  auto path = decode_path_component(next_path) + next_query;
 
   // Same host redirect - use current client
   if (next_scheme == scheme && next_host == host_ && next_port == port_) {
@@ -9168,18 +9260,11 @@ void ClientImpl::setup_redirect_client(ClientType &client) {
   client.set_compress(compress_);
   client.set_decompress(decompress_);
 
-  // Copy authentication settings BEFORE proxy setup
-  if (!basic_auth_username_.empty()) {
-    client.set_basic_auth(basic_auth_username_, basic_auth_password_);
-  }
-  if (!bearer_token_auth_token_.empty()) {
-    client.set_bearer_token_auth(bearer_token_auth_token_);
-  }
-#ifdef CPPHTTPLIB_SSL_ENABLED
-  if (!digest_auth_username_.empty()) {
-    client.set_digest_auth(digest_auth_username_, digest_auth_password_);
-  }
-#endif
+  // NOTE: Authentication credentials (basic auth, bearer token, digest auth)
+  // are intentionally NOT copied to the redirect client. Per RFC 9110 Section
+  // 15.4, credentials must not be forwarded when redirecting to a different
+  // host. This function is only called for cross-host redirects; same-host
+  // redirects are handled directly in ClientImpl::redirect().
 
   // Setup proxy configuration (CRITICAL ORDER - proxy must be set
   // before proxy auth)
@@ -10803,12 +10888,9 @@ Client::Client(const std::string &scheme_host_port)
 Client::Client(const std::string &scheme_host_port,
                       const std::string &client_cert_path,
                       const std::string &client_key_path) {
-  const static std::regex re(
-      R"((?:([a-z]+):\/\/)?(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?)");
-
-  std::smatch m;
-  if (std::regex_match(scheme_host_port, m, re)) {
-    auto scheme = m[1].str();
+  detail::UrlComponents uc;
+  if (detail::parse_url(scheme_host_port, uc) && !uc.host.empty()) {
+    auto &scheme = uc.scheme;
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
     if (!scheme.empty() && (scheme != "http" && scheme != "https")) {
@@ -10824,12 +10906,10 @@ Client::Client(const std::string &scheme_host_port,
 
     auto is_ssl = scheme == "https";
 
-    auto host = m[2].str();
-    if (host.empty()) { host = m[3].str(); }
+    auto host = std::move(uc.host);
 
-    auto port_str = m[4].str();
     auto port = is_ssl ? 443 : 80;
-    if (!port_str.empty() && !detail::parse_port(port_str, port)) { return; }
+    if (!uc.port.empty() && !detail::parse_port(uc.port, port)) { return; }
 
     if (is_ssl) {
 #ifdef CPPHTTPLIB_SSL_ENABLED
@@ -11425,7 +11505,8 @@ void Client::set_follow_location(bool on) {
 
 void Client::set_path_encode(bool on) { cli_->set_path_encode(on); }
 
-[[deprecated("Use set_path_encode instead")]]
+[[deprecated("Use set_path_encode() instead. "
+             "This function will be removed by v1.0.0.")]]
 void Client::set_url_encode(bool on) {
   cli_->set_path_encode(on);
 }
@@ -12399,6 +12480,18 @@ std::string Request::sni() const {
  */
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+// These wrappers forward to deprecated APIs that will be removed by v1.0.0.
+// Suppress C4996 / -Wdeprecated-declarations so that MSVC /sdl builds (which
+// promote C4996 to an error) compile cleanly even though the wrappers
+// themselves are also marked [[deprecated]].
+#if defined(_MSC_VER)
+#pragma warning(push)
+#pragma warning(disable : 4996)
+#elif defined(__GNUC__) || defined(__clang__)
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
+#endif
+
 SSL_CTX *Client::ssl_context() const {
   if (is_ssl_) { return static_cast<SSLClient &>(*cli_).ssl_context(); }
   return nullptr;
@@ -12413,6 +12506,12 @@ long Client::get_verify_result() const {
   if (is_ssl_) { return static_cast<SSLClient &>(*cli_).get_verify_result(); }
   return -1; // NOTE: -1 doesn't match any of X509_V_ERR_???
 }
+
+#if defined(_MSC_VER)
+#pragma warning(pop)
+#elif defined(__GNUC__) || defined(__clang__)
+#pragma GCC diagnostic pop
+#endif
 #endif // CPPHTTPLIB_OPENSSL_SUPPORT
 
 /*
@@ -16235,12 +16334,10 @@ bool WebSocket::is_open() const { return !closed_; }
 WebSocketClient::WebSocketClient(
     const std::string &scheme_host_port_path, const Headers &headers)
     : headers_(headers) {
-  const static std::regex re(
-      R"(([a-z]+):\/\/(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?(\/.*))");
-
-  std::smatch m;
-  if (std::regex_match(scheme_host_port_path, m, re)) {
-    auto scheme = m[1].str();
+  detail::UrlComponents uc;
+  if (detail::parse_url(scheme_host_port_path, uc) && !uc.scheme.empty() &&
+      !uc.host.empty() && !uc.path.empty()) {
+    auto &scheme = uc.scheme;
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
     if (scheme != "ws" && scheme != "wss") {
@@ -16256,14 +16353,12 @@ WebSocketClient::WebSocketClient(
 
     auto is_ssl = scheme == "wss";
 
-    host_ = m[2].str();
-    if (host_.empty()) { host_ = m[3].str(); }
+    host_ = std::move(uc.host);
 
-    auto port_str = m[4].str();
     port_ = is_ssl ? 443 : 80;
-    if (!port_str.empty() && !detail::parse_port(port_str, port_)) { return; }
+    if (!uc.port.empty() && !detail::parse_port(uc.port, port_)) { return; }
 
-    path_ = m[5].str();
+    path_ = std::move(uc.path);
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
     is_ssl_ = is_ssl;
@@ -16330,9 +16425,10 @@ bool WebSocketClient::connect() {
 
   Error error;
   sock_ = detail::create_client_socket(
-      host_, std::string(), port_, AF_UNSPEC, false, false, nullptr, 5, 0,
+      host_, std::string(), port_, address_family_, tcp_nodelay_, ipv6_v6only_,
+      socket_options_, connection_timeout_sec_, connection_timeout_usec_,
       read_timeout_sec_, read_timeout_usec_, write_timeout_sec_,
-      write_timeout_usec_, std::string(), error);
+      write_timeout_usec_, interface_, error);
 
   if (sock_ == INVALID_SOCKET) { return false; }
 
@@ -16398,6 +16494,27 @@ void WebSocketClient::set_websocket_ping_interval(time_t sec) {
   websocket_ping_interval_sec_ = sec;
 }
 
+void WebSocketClient::set_tcp_nodelay(bool on) { tcp_nodelay_ = on; }
+
+void WebSocketClient::set_address_family(int family) {
+  address_family_ = family;
+}
+
+void WebSocketClient::set_ipv6_v6only(bool on) { ipv6_v6only_ = on; }
+
+void WebSocketClient::set_socket_options(SocketOptions socket_options) {
+  socket_options_ = std::move(socket_options);
+}
+
+void WebSocketClient::set_connection_timeout(time_t sec, time_t usec) {
+  connection_timeout_sec_ = sec;
+  connection_timeout_usec_ = usec;
+}
+
+void WebSocketClient::set_interface(const std::string &intf) {
+  interface_ = intf;
+}
+
 #ifdef CPPHTTPLIB_SSL_ENABLED
 
 void WebSocketClient::set_ca_cert_path(const std::string &path) {
diff --git a/vendor/cpp-httplib/httplib.h b/vendor/cpp-httplib/httplib.h
index 6ec949ac51f6f3c375865df22db783759e9ee94c..1d12f2d2b59c830eba1f1acb113c2918733cc1ff 100644
--- a/vendor/cpp-httplib/httplib.h
+++ b/vendor/cpp-httplib/httplib.h
@@ -8,8 +8,8 @@
 #ifndef CPPHTTPLIB_HTTPLIB_H
 #define CPPHTTPLIB_HTTPLIB_H
 
-#define CPPHTTPLIB_VERSION "0.38.0"
-#define CPPHTTPLIB_VERSION_NUM "0x002600"
+#define CPPHTTPLIB_VERSION "0.42.0"
+#define CPPHTTPLIB_VERSION_NUM "0x002a00"
 
 #ifdef _WIN32
 #if defined(_WIN32_WINNT) && _WIN32_WINNT < 0x0A00
@@ -333,13 +333,10 @@ using socket_t = int;
 #include <unordered_map>
 #include <unordered_set>
 #include <utility>
-#if __cplusplus >= 201703L
-#include <any>
-#endif
 
 // On macOS with a TLS backend, enable Keychain root certificates by default
 // unless the user explicitly opts out.
-#if defined(__APPLE__) &&                                                      \
+#if defined(__APPLE__) && defined(__clang__) &&                                \
     !defined(CPPHTTPLIB_DISABLE_MACOSX_AUTOMATIC_ROOT_CERTIFICATES) &&         \
     (defined(CPPHTTPLIB_OPENSSL_SUPPORT) ||                                    \
      defined(CPPHTTPLIB_MBEDTLS_SUPPORT) ||                                    \
@@ -358,7 +355,7 @@ using socket_t = int;
 
 #if defined(CPPHTTPLIB_USE_NON_BLOCKING_GETADDRINFO) ||                        \
     defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
-#if TARGET_OS_MAC
+#if TARGET_OS_MAC && defined(__clang__)
 #include <CFNetwork/CFHost.h>
 #include <CoreFoundation/CoreFoundation.h>
 #endif
@@ -701,9 +698,96 @@ inline bool parse_port(const std::string &s, int &port) {
   return parse_port(s.data(), s.size(), port);
 }
 
+struct UrlComponents {
+  std::string scheme;
+  std::string host;
+  std::string port;
+  std::string path;
+  std::string query;
+};
+
+inline bool parse_url(const std::string &url, UrlComponents &uc) {
+  uc = {};
+  size_t pos = 0;
+
+  auto sep = url.find("://");
+  if (sep != std::string::npos) {
+    uc.scheme = url.substr(0, sep);
+
+    // Scheme must be [a-z]+ only
+    if (uc.scheme.empty()) { return false; }
+    for (auto c : uc.scheme) {
+      if (c < 'a' || c > 'z') { return false; }
+    }
+
+    pos = sep + 3;
+  } else if (url.compare(0, 2, "//") == 0) {
+    pos = 2;
+  }
+
+  auto has_authority_prefix = pos > 0;
+  auto has_authority = has_authority_prefix || (!url.empty() && url[0] != '/' &&
+                                                url[0] != '?' && url[0] != '#');
+  if (has_authority) {
+    if (pos < url.size() && url[pos] == '[') {
+      auto close = url.find(']', pos);
+      if (close == std::string::npos) { return false; }
+      uc.host = url.substr(pos + 1, close - pos - 1);
+
+      // IPv6 host must be [a-fA-F0-9:]+ only
+      if (uc.host.empty()) { return false; }
+      for (auto c : uc.host) {
+        if (!((c >= 'a' && c <= 'f') || (c >= 'A' && c <= 'F') ||
+              (c >= '0' && c <= '9') || c == ':')) {
+          return false;
+        }
+      }
+
+      pos = close + 1;
+    } else {
+      auto end = url.find_first_of(":/?#", pos);
+      if (end == std::string::npos) { end = url.size(); }
+      uc.host = url.substr(pos, end - pos);
+      pos = end;
+    }
+
+    if (pos < url.size() && url[pos] == ':') {
+      ++pos;
+      auto end = url.find_first_of("/?#", pos);
+      if (end == std::string::npos) { end = url.size(); }
+      uc.port = url.substr(pos, end - pos);
+      pos = end;
+    }
+
+    // Without :// or //, the entire input must be consumed as host[:port].
+    // If there is leftover (path, query, etc.), this is not a valid
+    // host[:port] string — clear and reparse as a plain path.
+    if (!has_authority_prefix && pos < url.size()) {
+      uc.host.clear();
+      uc.port.clear();
+      pos = 0;
+    }
+  }
+
+  if (pos < url.size() && url[pos] != '?' && url[pos] != '#') {
+    auto end = url.find_first_of("?#", pos);
+    if (end == std::string::npos) { end = url.size(); }
+    uc.path = url.substr(pos, end - pos);
+    pos = end;
+  }
+
+  if (pos < url.size() && url[pos] == '?') {
+    auto end = url.find('#', pos);
+    if (end == std::string::npos) { end = url.size(); }
+    uc.query = url.substr(pos, end - pos);
+  }
+
+  return true;
+}
+
 } // namespace detail
 
-enum SSLVerifierResponse {
+enum class SSLVerifierResponse {
   // no decision has been made, use the built-in certificate verifier
   NoDecisionMade,
   // connection certificate is verified and accepted
@@ -797,38 +881,15 @@ using Match = std::smatch;
 using DownloadProgress = std::function<bool(size_t current, size_t total)>;
 using UploadProgress = std::function<bool(size_t current, size_t total)>;
 
-
-#if __cplusplus >= 201703L
-
-using any = std::any;
-using bad_any_cast = std::bad_any_cast;
-
-template <typename T> T any_cast(const any &a) { return std::any_cast<T>(a); }
-template <typename T> T any_cast(any &a) { return std::any_cast<T>(a); }
-template <typename T> T any_cast(any &&a) {
-  return std::any_cast<T>(std::move(a));
-}
-template <typename T> const T *any_cast(const any *a) noexcept {
-  return std::any_cast<T>(a);
-}
-template <typename T> T *any_cast(any *a) noexcept {
-  return std::any_cast<T>(a);
-}
-
-#else // C++11/14 implementation
-
-class bad_any_cast : public std::bad_cast {
-public:
-  const char *what() const noexcept override { return "bad any_cast"; }
-};
-
+/*
+ * detail: type-erased storage used by UserData.
+ * ABI-stable regardless of C++ standard — always uses this custom
+ * implementation instead of std::any.
+ */
 namespace detail {
 
 using any_type_id = const void *;
 
-// Returns a unique per-type ID without RTTI.
-// The static address is stable across TUs because function templates are
-// implicitly inline and the ODR merges their statics into one.
 template <typename T> any_type_id any_typeid() noexcept {
   static const char id = 0;
   return &id;
@@ -851,88 +912,59 @@ template <typename T> struct any_value final : any_storage {
 
 } // namespace detail
 
-class any {
-  std::unique_ptr<detail::any_storage> storage_;
-
+class UserData {
 public:
-  any() noexcept = default;
-  any(const any &o) : storage_(o.storage_ ? o.storage_->clone() : nullptr) {}
-  any(any &&) noexcept = default;
-  any &operator=(const any &o) {
-    storage_ = o.storage_ ? o.storage_->clone() : nullptr;
-    return *this;
+  UserData() = default;
+  UserData(UserData &&) noexcept = default;
+  UserData &operator=(UserData &&) noexcept = default;
+
+  UserData(const UserData &o) {
+    for (const auto &e : o.entries_) {
+      if (e.second) { entries_[e.first] = e.second->clone(); }
+    }
   }
-  any &operator=(any &&) noexcept = default;
-
-  template <
-      typename T, typename D = typename std::decay<T>::type,
-      typename std::enable_if<!std::is_same<D, any>::value, int>::type = 0>
-  any(T &&v) : storage_(new detail::any_value<D>(std::forward<T>(v))) {}
-
-  template <
-      typename T, typename D = typename std::decay<T>::type,
-      typename std::enable_if<!std::is_same<D, any>::value, int>::type = 0>
-  any &operator=(T &&v) {
-    storage_.reset(new detail::any_value<D>(std::forward<T>(v)));
+
+  UserData &operator=(const UserData &o) {
+    if (this != &o) {
+      entries_.clear();
+      for (const auto &e : o.entries_) {
+        if (e.second) { entries_[e.first] = e.second->clone(); }
+      }
+    }
     return *this;
   }
 
-  bool has_value() const noexcept { return storage_ != nullptr; }
-  void reset() noexcept { storage_.reset(); }
-
-  template <typename T> friend T *any_cast(any *a) noexcept;
-  template <typename T> friend const T *any_cast(const any *a) noexcept;
-};
+  template <typename T> void set(const std::string &key, T &&value) {
+    using D = typename std::decay<T>::type;
+    entries_[key].reset(new detail::any_value<D>(std::forward<T>(value)));
+  }
 
-template <typename T> T *any_cast(any *a) noexcept {
-  if (!a || !a->storage_) { return nullptr; }
-  if (a->storage_->type_id() != detail::any_typeid<T>()) { return nullptr; }
-  return &static_cast<detail::any_value<T> *>(a->storage_.get())->value;
-}
+  template <typename T> T *get(const std::string &key) noexcept {
+    auto it = entries_.find(key);
+    if (it == entries_.end() || !it->second) { return nullptr; }
+    if (it->second->type_id() != detail::any_typeid<T>()) { return nullptr; }
+    return &static_cast<detail::any_value<T> *>(it->second.get())->value;
+  }
 
-template <typename T> const T *any_cast(const any *a) noexcept {
-  if (!a || !a->storage_) { return nullptr; }
-  if (a->storage_->type_id() != detail::any_typeid<T>()) { return nullptr; }
-  return &static_cast<const detail::any_value<T> *>(a->storage_.get())->value;
-}
+  template <typename T> const T *get(const std::string &key) const noexcept {
+    auto it = entries_.find(key);
+    if (it == entries_.end() || !it->second) { return nullptr; }
+    if (it->second->type_id() != detail::any_typeid<T>()) { return nullptr; }
+    return &static_cast<const detail::any_value<T> *>(it->second.get())->value;
+  }
 
-template <typename T> T any_cast(const any &a) {
-  using U =
-      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
-  const U *p = any_cast<U>(&a);
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-  if (!p) { throw bad_any_cast{}; }
-#else
-  if (!p) { std::abort(); }
-#endif
-  return static_cast<T>(*p);
-}
+  bool has(const std::string &key) const noexcept {
+    return entries_.find(key) != entries_.end();
+  }
 
-template <typename T> T any_cast(any &a) {
-  using U =
-      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
-  U *p = any_cast<U>(&a);
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-  if (!p) { throw bad_any_cast{}; }
-#else
-  if (!p) { std::abort(); }
-#endif
-  return static_cast<T>(*p);
-}
+  void erase(const std::string &key) { entries_.erase(key); }
 
-template <typename T> T any_cast(any &&a) {
-  using U =
-      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
-  U *p = any_cast<U>(&a);
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-  if (!p) { throw bad_any_cast{}; }
-#else
-  if (!p) { std::abort(); }
-#endif
-  return static_cast<T>(std::move(*p));
-}
+  void clear() noexcept { entries_.clear(); }
 
-#endif // __cplusplus >= 201703L
+private:
+  std::unordered_map<std::string, std::unique_ptr<detail::any_storage>>
+      entries_;
+};
 
 struct Response;
 using ResponseHandler = std::function<bool(const Response &response)>;
@@ -1001,8 +1033,8 @@ private:
 
   protected:
     std::streamsize xsputn(const char *s, std::streamsize n) override {
-      sink_.write(s, static_cast<size_t>(n));
-      return n;
+      if (sink_.write(s, static_cast<size_t>(n))) { return n; }
+      return 0;
     }
 
   private:
@@ -1058,9 +1090,12 @@ make_file_provider(const std::string &name, const std::string &filepath,
 
 inline std::pair<size_t, ContentProvider>
 make_file_body(const std::string &filepath) {
-  std::ifstream f(filepath, std::ios::binary | std::ios::ate);
-  if (!f) { return {0, ContentProvider{}}; }
-  auto size = static_cast<size_t>(f.tellg());
+  size_t size = 0;
+  {
+    std::ifstream f(filepath, std::ios::binary | std::ios::ate);
+    if (!f) { return {0, ContentProvider{}}; }
+    size = static_cast<size_t>(f.tellg());
+  }
 
   ContentProvider provider = [filepath](size_t offset, size_t length,
                                         DataSink &sink) -> bool {
@@ -1258,11 +1293,13 @@ struct Request {
 
   bool has_param(const std::string &key) const;
   std::string get_param_value(const std::string &key, size_t id = 0) const;
+  std::vector<std::string> get_param_values(const std::string &key) const;
   size_t get_param_value_count(const std::string &key) const;
 
   bool is_multipart_form_data() const;
 
   // private members...
+  bool body_consumed_ = false;
   size_t redirect_count_ = CPPHTTPLIB_REDIRECT_MAX_COUNT;
   size_t content_length_ = 0;
   ContentProvider content_provider_;
@@ -1289,7 +1326,7 @@ struct Response {
 
   // User-defined context — set by pre-routing/pre-request handlers and read
   // by route handlers to pass arbitrary data (e.g. decoded auth tokens).
-  std::map<std::string, any> user_data;
+  UserData user_data;
 
   bool has_header(const std::string &key) const;
   std::string get_header_value(const std::string &key, const char *def = "",
@@ -1472,6 +1509,8 @@ using SocketOptions = std::function<void(socket_t sock)>;
 
 void default_socket_options(socket_t sock);
 
+bool set_socket_opt(socket_t sock, int level, int optname, int optval);
+
 const char *status_message(int status);
 
 std::string to_string(Error error);
@@ -1561,6 +1600,13 @@ ssize_t write_headers(Stream &strm, const Headers &headers);
 bool set_socket_opt_time(socket_t sock, int level, int optname, time_t sec,
                          time_t usec);
 
+size_t get_multipart_content_length(const UploadFormDataItems &items,
+                                    const std::string &boundary);
+
+ContentProvider
+make_multipart_content_provider(const UploadFormDataItems &items,
+                                const std::string &boundary);
+
 } // namespace detail
 
 class Server {
@@ -1651,6 +1697,9 @@ public:
 
   Server &set_keep_alive_max_count(size_t count);
   Server &set_keep_alive_timeout(time_t sec);
+  template <class Rep, class Period>
+  Server &
+  set_keep_alive_timeout(const std::chrono::duration<Rep, Period> &duration);
 
   Server &set_read_timeout(time_t sec, time_t usec = 0);
   template <class Rep, class Period>
@@ -1882,7 +1931,8 @@ private:
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 public:
-  [[deprecated("Use ssl_backend_error() instead")]]
+  [[deprecated("Use ssl_backend_error() instead. "
+               "This function will be removed by v1.0.0.")]]
   uint64_t ssl_openssl_error() const {
     return ssl_backend_error_;
   }
@@ -2362,13 +2412,16 @@ protected:
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 public:
-  [[deprecated("Use load_ca_cert_store() instead")]]
+  [[deprecated("Use load_ca_cert_store() instead. "
+               "This function will be removed by v1.0.0.")]]
   void set_ca_cert_store(X509_STORE *ca_cert_store);
 
-  [[deprecated("Use tls::create_ca_store() instead")]]
+  [[deprecated("Use tls::create_ca_store() instead. "
+               "This function will be removed by v1.0.0.")]]
   X509_STORE *create_ca_cert_store(const char *ca_cert, std::size_t size) const;
 
-  [[deprecated("Use set_server_certificate_verifier(VerifyCallback) instead")]]
+  [[deprecated("Use set_server_certificate_verifier(VerifyCallback) instead. "
+               "This function will be removed by v1.0.0.")]]
   virtual void set_server_certificate_verifier(
       std::function<SSLVerifierResponse(SSL *ssl)> verifier);
 #endif
@@ -2597,14 +2650,17 @@ private:
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 public:
-  [[deprecated("Use tls_context() instead")]]
+  [[deprecated("Use tls_context() instead. "
+               "This function will be removed by v1.0.0.")]]
   SSL_CTX *ssl_context() const;
 
-  [[deprecated("Use set_session_verifier(session_t) instead")]]
+  [[deprecated("Use set_session_verifier(session_t) instead. "
+               "This function will be removed by v1.0.0.")]]
   void set_server_certificate_verifier(
       std::function<SSLVerifierResponse(SSL *ssl)> verifier);
 
-  [[deprecated("Use Result::ssl_backend_error() instead")]]
+  [[deprecated("Use Result::ssl_backend_error() instead. "
+               "This function will be removed by v1.0.0.")]]
   long get_verify_result() const;
 #endif
 };
@@ -2656,18 +2712,22 @@ private:
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 public:
   [[deprecated("Use SSLServer(PemMemory) or "
-               "SSLServer(ContextSetupCallback) instead")]]
+               "SSLServer(ContextSetupCallback) instead. "
+               "This constructor will be removed by v1.0.0.")]]
   SSLServer(X509 *cert, EVP_PKEY *private_key,
             X509_STORE *client_ca_cert_store = nullptr);
 
-  [[deprecated("Use SSLServer(ContextSetupCallback) instead")]]
+  [[deprecated("Use SSLServer(ContextSetupCallback) instead. "
+               "This constructor will be removed by v1.0.0.")]]
   SSLServer(
       const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback);
 
-  [[deprecated("Use tls_context() instead")]]
+  [[deprecated("Use tls_context() instead. "
+               "This function will be removed by v1.0.0.")]]
   SSL_CTX *ssl_context() const;
 
-  [[deprecated("Use update_certs_pem() instead")]]
+  [[deprecated("Use update_certs_pem() instead. "
+               "This function will be removed by v1.0.0.")]]
   void update_certs(X509 *cert, EVP_PKEY *private_key,
                     X509_STORE *client_ca_cert_store = nullptr);
 #endif
@@ -2752,20 +2812,40 @@ private:
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 public:
-  [[deprecated("Use SSLClient(host, port, PemMemory) instead")]]
+  [[deprecated("Use SSLClient(host, port, PemMemory) instead. "
+               "This constructor will be removed by v1.0.0.")]]
   explicit SSLClient(const std::string &host, int port, X509 *client_cert,
                      EVP_PKEY *client_key,
                      const std::string &private_key_password = std::string());
 
-  [[deprecated("Use Result::ssl_backend_error() instead")]]
+  [[deprecated("Use Result::ssl_backend_error() instead. "
+               "This function will be removed by v1.0.0.")]]
   long get_verify_result() const;
 
-  [[deprecated("Use tls_context() instead")]]
+  [[deprecated("Use tls_context() instead. "
+               "This function will be removed by v1.0.0.")]]
   SSL_CTX *ssl_context() const;
 
-  [[deprecated("Use set_session_verifier(session_t) instead")]]
+  // Override of a deprecated virtual in ClientImpl. Suppress C4996 /
+  // -Wdeprecated-declarations on the override declaration itself so that
+  // MSVC /sdl builds compile cleanly. Will be removed together with the
+  // base virtual by v1.0.0.
+#if defined(_MSC_VER)
+#pragma warning(push)
+#pragma warning(disable : 4996)
+#elif defined(__GNUC__) || defined(__clang__)
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
+#endif
+  [[deprecated("Use set_session_verifier(session_t) instead. "
+               "This function will be removed by v1.0.0.")]]
   void set_server_certificate_verifier(
       std::function<SSLVerifierResponse(SSL *ssl)> verifier) override;
+#if defined(_MSC_VER)
+#pragma warning(pop)
+#elif defined(__GNUC__) || defined(__clang__)
+#pragma GCC diagnostic pop
+#endif
 
 private:
   bool verify_host(X509 *server_cert) const;
@@ -3641,6 +3721,9 @@ public:
   SSEClient &set_reconnect_interval(int ms);
   SSEClient &set_max_reconnect_attempts(int n);
 
+  // Update headers (thread-safe)
+  SSEClient &set_headers(const Headers &headers);
+
   // State accessors
   bool is_connected() const;
   const std::string &last_event_id() const;
@@ -3665,6 +3748,7 @@ private:
   Client &client_;
   std::string path_;
   Headers headers_;
+  mutable std::mutex headers_mutex_;
 
   // Callbacks
   MessageHandler on_message_;
@@ -3785,6 +3869,12 @@ public:
   void set_read_timeout(time_t sec, time_t usec = 0);
   void set_write_timeout(time_t sec, time_t usec = 0);
   void set_websocket_ping_interval(time_t sec);
+  void set_tcp_nodelay(bool on);
+  void set_address_family(int family);
+  void set_ipv6_v6only(bool on);
+  void set_socket_options(SocketOptions socket_options);
+  void set_connection_timeout(time_t sec, time_t usec = 0);
+  void set_interface(const std::string &intf);
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
   void set_ca_cert_path(const std::string &path);
@@ -3810,6 +3900,13 @@ private:
   time_t write_timeout_usec_ = CPPHTTPLIB_CLIENT_WRITE_TIMEOUT_USECOND;
   time_t websocket_ping_interval_sec_ =
       CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND;
+  int address_family_ = AF_UNSPEC;
+  bool tcp_nodelay_ = CPPHTTPLIB_TCP_NODELAY;
+  bool ipv6_v6only_ = CPPHTTPLIB_IPV6_V6ONLY;
+  SocketOptions socket_options_ = nullptr;
+  time_t connection_timeout_sec_ = CPPHTTPLIB_CONNECTION_TIMEOUT_SECOND;
+  time_t connection_timeout_usec_ = CPPHTTPLIB_CONNECTION_TIMEOUT_USECOND;
+  std::string interface_;
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
   bool is_ssl_ = false;